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Author SHA1 Message Date
Ryan Chen 20ec7ca8b6 Return artifacts from YNAB budget, transaction and spending tools
Convert ynab_budget_summary, ynab_search_transactions, ynab_spending_report
and ynab_category_budget to content_and_artifact (ynab.summary,
ynab.transactions, ynab.spending_report, ynab.category_budget). The text
the LLM sees is unchanged. Not-synced, bad-input, empty and error paths
return no artifact; Decimals become floats and dates ISO strings.

ynab_search_transactions now fetches up to 500 rows in one query (with an
id tie-break so ordering is stable) and lists the first `limit` in the
text; the artifact carries all of them. ynab_account_balances,
ynab_recent_changes and ynab_sql stay text-only.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 18:12:23 -04:00
Ryan Chen 50d123e4d2 Return artifacts from Mealie, Obsidian and search tools
Convert mealie_get_recipe, mealie_meal_plans, mealie_todays_meals,
mealie_shopping_lists, obsidian_read_note, journal_get_today,
obsidian_search_notes and simba_search to content_and_artifact. The text
the LLM sees is unchanged; the artifact is a JSON-safe ToolArtifact dict
per the Cowork UI contract (mealie.recipe, mealie.meal_plan,
mealie.shopping_lists, obsidian.note, search.documents). Error, empty and
not-configured paths return no artifact.

simba_search's artifact changes from a list of Documents (unused) to a
search.documents dict.

New optional env vars: MEALIE_GROUP_SLUG (default "home") for Mealie v2
recipe links, OBSIDIAN_VAULT_NAME for obsidian://open links.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 18:10:07 -04:00
ryan 417d4061d7 Merge pull request 'Mirror YNAB budget into Postgres with delta sync and change log' (#55) from feat/ynab-mirror into main 2026-10-12 18:07:32 -04:00
Ryan Chen 0fa30edb82 Merge origin/main into feat/ynab-mirror
Resolve config/db.py (artifacts + ynab models) and regenerate the YNAB
migration with aerich as 18 on top of main's 17_add_artifacts.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 18:07:26 -04:00
Ryan Chen 10f3f1bcab Merge origin/main into feat/ynab-mirror
Resolve the Makefile .PHONY conflict (desktop + ynab targets) and
regenerate the YNAB migration with aerich as 17 on top of main's
16_add_oidc_states, replacing the colliding 16_add_ynab_mirror.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 18:06:47 -04:00
ryan 3dbd320fe9 Merge pull request 'Cowork A: SSE v2 tool events, artifacts table + API' (#60) from feat/cowork-stream into main 2026-10-12 18:06:02 -04:00
Ryan Chen d1c3b7693e Fix second-round YNAB review findings
- Failure backoff is re-checked under the sync lock, so parallel tool
  calls share one failed YNAB request instead of retrying in turn.
- Budget id: YNAB_BUDGET_ID aliases ("last-used", "default") count as
  unset; state is always keyed by the real budget id, a mismatched
  response errors instead of silently skipping every sync, and more
  than one stored budget is an error rather than an arbitrary pick.
- Change log renames only id fields that resolve to names (account,
  payee, category, group); subtransaction transaction_id stays as is.
- ynab_recent_changes: correct singular for "categories", multi-word
  types, and the "month" type.
- The SQL wrap test now parses the wrapped query.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 18:03:48 -04:00
Ryan Chen 9249f92db8 Fix YNAB mirror review findings
- Full resyncs mark mirror rows missing from the download as deleted;
  YNAB omits deleted entities from non-delta responses, so deletions
  made just before a full sync never reached the mirror.
- YNAB tools return errors as text instead of raising, since ToolNode
  re-raises and would fail the whole chat turn. ynab_sql catches all
  sqlglot errors (e.g. an unbalanced quote) and runs the SQL regenerated
  from the validated tree, which also drops comments that broke the
  LIMIT wrapper. Results keep duplicate column names.
- Sync fetches from YNAB before opening the DB transaction, discards the
  payload if the other container synced meanwhile, re-checks freshness
  under the lock so parallel tool calls share one sync, and backs off
  for 60s after a failure.
- The mirror is pinned to one budget; a changed YNAB_BUDGET_ID errors
  instead of mixing budgets, and an unset id stays on the budget the
  first sync resolved from "last-used".
- Change log: no entries for empty month rollover rows, and id fields
  are logged as names (category, payee, account). ynab_recent_changes
  accepts the names it prints ("assignment") and plurals.
- Outputs sized to the 4000-char tool result cap; ynab_sql reuses the
  shared admin message.
- YNAB API client moves back to utils/ynab_service.py, and the frontend
  tool status labels list the new tools.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:58:14 -04:00
Ryan Chen 1cdc380870 Add artifacts table migration
Generated with aerich against a fresh Postgres after applying 1-16.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:56:26 -04:00
Ryan Chen 1c1ae9f158 Validate artifact ids before querying; match artifacts by str id
asyncpg raises OperationalError (not ValueError) on malformed UUIDs, so
bad artifact ids now 404 and a bad conversation_id 400s before any query.
get_conversation keys artifacts by str(message_id) so matching doesn't
depend on the driver's UUID types.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:56:26 -04:00
Ryan Chen c678bf55bc Stream v2 tool events, save artifacts, enrich conversation payload
stream_query emits the new tool_start/tool_end payloads, maps
on_tool_error to tool_end status=error, and saves an artifact linked to
the tool message. GET /api/conversation/<id> adds tool, label and
artifact to tool messages.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:53:22 -04:00
Ryan Chen 0cf6229441 Add Artifact model and owner-scoped artifacts API
GET /api/artifacts?conversation_id= lists ArtifactRefs without data;
GET /api/artifacts/<id> returns the full artifact. Both 404 for other
users. create_artifact_from_output persists ToolArtifact dicts and drops
ones over 256 KB serialised.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:53:22 -04:00
Ryan Chen d2f21a6d23 Add tool label registry and SSE v2 tool event shaping
Pure functions build tool_start/tool_end payloads with run_id, friendly
label, truncated input (config dropped), status, duration and artifact ref.
Labels cover every agent tool, both old and #55 YNAB names, and the
homebox_/bookstack_ MCP prefixes, falling back to "Using <tool>…".

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:53:22 -04:00
ryan 1a73e26f23 Merge pull request 'Frontend: send access token, refresh once on 401' (#59) from fix/access-token-auth into main 2026-10-12 17:49:18 -04:00
ryan 86e1912871 Merge pull request 'Cowork UI (phase 2) plan' (#58) from plan/cowork-ui into main 2026-10-12 17:47:52 -04:00
Ryan Chen abf9415696 Add Cowork UI (phase 2) plan and drop quick-ask window
Defines the shared contract (SSE v2 tool events, artifact kinds and
storage, artifacts API, uploads), five parallel tasks with file
ownership, merge order and verification, and removes the quick-ask
window from the desktop plan.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:47:43 -04:00
ryan b77e21474a Merge pull request 'Accept access tokens on protected routes; persist OIDC state' (#57) from fix/access-token-auth-backend into main 2026-10-12 17:44:56 -04:00
Ryan Chen 004a9bc85d Frontend: send access token, refresh once on 401
Collapse fetchWithRefreshToken/fetchWithAuth into a single fetchWithAuth
that sends the access token, refreshes up front when none is stored, and
on a 401 refreshes once (deduplicated across concurrent calls) and retries.
The refresh token is now only sent to /api/user/refresh.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:44:34 -04:00
Ryan Chen bc3e3d2797 Accept access tokens on protected routes; persist OIDC state
- Add transitional @jwt_access_required (accepts access tokens, and for now
  also refresh tokens) and use it on every protected route and inside
  admin_required. /api/user/refresh stays refresh-only.
- Move pending OIDC state/PKCE verifiers from an in-process dict to an
  oidc_states table (10 min TTL, single-use) so logins survive a blue/green
  flip. Drop the unused redirect_after_login.
- Unit tests for the decorator and the state store.

Deploy this commit on its own, before the access-token frontend: the old
backend answers access tokens with 422, so the new frontend only works once
this backend is live on both colors.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:44:34 -04:00
ryan fde8208afe Merge pull request 'Desktop client: exploration doc + Tauri shell spike' (#56) from explore/desktop-client into main 2026-10-12 17:42:25 -04:00
Ryan Chen 6a03f3f9f0 Add Tauri desktop shell spike
desktop/ is a thin Tauri v2 app: a bundled connect page probes
SIMBA_URL/api/health and hands the window to the deployed web app.
Adds a menu-bar icon (Show / New Chat / Reconnect / Quit), Alt+Space
toggle, close-to-hide, single-instance and Dock reopen. The remote
origin gets no IPC. Rust 1.90 is pinned via rust-toolchain.toml.
New make targets: desktop-dev, desktop.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:40:50 -04:00
Ryan Chen eea96d9010 Add desktop client exploration doc
Compares PWA, Tauri v2 and Electron shells, recommends a Tauri shell
loading the deployed origin, and lays out backend changes (structured
SSE events, artifacts table, uploads, notifications, local tool bridge,
access-token auth) with a phased plan.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:40:49 -04:00
Ryan Chen 8f02318542 Mirror YNAB budget into Postgres with delta sync and change log
YNAB has no event feed, so keep a local copy in ynab_* tables synced via
server_knowledge delta requests: full download on first run, deltas every
YNAB_SYNC_INTERVAL seconds and on demand before each tool call, full
resync daily. Each sync diffs against the mirror and appends real edits
(transactions, assignments, renames) to ynab_changes, the edit history
YNAB doesn't keep.

Agent YNAB tools now answer from the mirror: budget summary (spending
computed from transactions, since YNAB's month activity nets in credit
card payment categories), account balances, transaction search with
splits expanded, spending reports by category/payee/account/month,
category budget, and recent changes. Adds an admin-only read-only
ynab_sql tool guarded by a sqlglot allowlist (scope-resolved tables, no
dangerous functions), a READ ONLY transaction, a timeout, and a row cap.

Replaces utils/ynab_service.py and drops the unused ynab SDK.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:32:38 -04:00
ryan 3e2a237eb6 Merge pull request 'Expose Homebox set_item edit tool to admin agent' (#54) from feat/homebox-set-item into main 2026-10-12 17:02:27 -04:00
Ryan Chen b1e210de5d Expose Homebox set_item edit tool to admin agent
Allowlist homebox-mcp's general item editor so the agent can rename items
and edit description, notes, quantity, purchase info, flags and custom
fields. Only passed args change; the rest of the item is preserved.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 17:02:17 -04:00
ryan cdd067fb8e Merge pull request 'Add admin-only BookStack MCP connector' (#53) from feat/bookstack-mcp into main 2026-10-12 16:54:35 -04:00
Ryan Chen 0b8fe7b2df Add admin-only BookStack MCP connector
Load an allowlisted subset of bookstack-mcp tools (search/read plus
create/update books, chapters, pages and comments; no deletes) over stdio
and add them to the admin agent alongside Homebox. Extract the shared
allowlist + is_admin wrapping into utils/mcp_tools.py.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 16:54:01 -04:00
ryan e03c10cde5 Merge pull request 'Add admin-only Homebox MCP connector' (#52) from feat/homebox-mcp into main
Reviewed-on: #52
2026-10-12 16:45:32 -04:00
Ryan Chen 9858e06b73 Add admin-only Homebox MCP connector
Load an allowlisted subset of homebox-mcp tools (read + safe writes, no
deletes) over stdio and compile them into a separate admin agent, so
non-admins never see them. Each tool also re-checks is_admin per call.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-11 11:01:19 -04:00
Ryan Chen ccc5126ae0 Sample least-recently-fetched friends instead of random
Replaces random.sample with a staleness-ordered pick: friends never
fetched sort first (epoch timestamp), then oldest fetched_at. Ensures
full following list coverage over successive nightly runs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-18 07:15:35 -04:00
Ryan Chen 4d29bb3ca4 Pin llama-server reasoning_effort to low to fix Jinja template error
LangChain was sending reasoning_effort=thinking which Qwen3's chat
template rejects (only xhigh/medium/low are valid). low disables
thinking mode, which is appropriate for agentic tool use and saves tokens.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-18 07:09:11 -04:00
Ryan Chen 64b20754a1 Trim all tool docstrings to reduce token count per request
Removed verbose "Use this tool when the user asks about" bullet lists
from all 31 tools. Each tool now has a 1-2 line description plus compact
arg docs. Saves ~3-5k tokens per request on a 32k context budget.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-18 07:04:26 -04:00
Ryan Chen 6fb9bade08 Trim conversation history to last 12 messages to prevent context overflow
The LangGraph checkpointer replays full history on every request. Without
trimming, long conversations compound past the 32k llama-server slot limit.
12 messages covers ~4-6 turns including tool call/result pairs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-18 06:56:12 -04:00
Ryan Chen 70475865cc Sample up to 3 top picks per friend for friend restaurant queries
Previously ordered by friend_beli_user_id first, returning 15 results
from whoever sorts first. Now fetches top-ranked rows globally and
caps at 3 per friend, giving a diverse cross-friend sample.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:49:34 -04:00
Ryan Chen 98b4b46b11 Add friends_only filter to beli_search_restaurants tool
Replaces include_friends with friends_only so the LLM can return
exclusively friend-sourced rows when user asks what their friends like,
rather than mixing in own rankings.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:44:28 -04:00
Ryan Chen 834c2c5bfe Drop beli result cap to 15 to stay under 32k context
30 still overflowed when combined with system prompt and conversation history.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:39:31 -04:00
Ryan Chen b7ac24f2ff Cap beli_search_restaurants results at 30 to prevent context overflow
50k+ token requests were blowing past the 32k llama-server context window
when returning the full ranked list.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:36:25 -04:00
Ryan Chen 69bf5edefe Add manual friend refresh endpoint and fix category filter guidance
POST /api/beli/profiles/<id>/refresh-friends triggers friend ranking
sampling on demand without waiting for the nightly cron. Also tightens
the beli_search_restaurants docstring so the LLM passes category=restaurant
when the user asks for restaurants, preventing bars/bakeries from appearing.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:29:52 -04:00
Ryan Chen 4c0d161f10 Fix Beli update_or_create ambiguity and friend sampling scope
- Add friend_beli_user_id="" to own ranking lookups to prevent
  MultipleObjectsReturned when friend rows exist for same restaurant
- Move friend sampling out of refresh_profile into _refresh_after_delay
  so manual refreshes stay fast; nightly cron still samples friends

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:20:08 -04:00
Ryan Chen c24a44618f Demote friend ranking 405s to debug — private profiles are expected
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:13:02 -04:00
Ryan Chen c183a13db2 Add migration for beli_category column
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:09:46 -04:00
Ryan Chen c682d2b320 Add beli_category (RES/DES/BAR/BAK) to restaurant records
Store Beli's category code on each ranking so the agent can filter by type
(restaurant/bar/cafe/bakery). Category label shown in tool output.

Requires migration for beli_category column + updated unique constraint.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 22:09:09 -04:00
Ryan Chen aa61ec54b9 Add migration for Beli friend ranking columns
Adds friend_beli_user_id (default '') and friend_name to beli_restaurants,
updates unique constraint to include friend_beli_user_id.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:55:10 -04:00
Ryan Chen b79229a5b0 Add random friend ranking refresh to Beli integration
Each nightly profile refresh now also picks FRIEND_SAMPLE_SIZE (5) random
followed users and fetches their rankings, building up a picture of friends'
lists over time. Rows are tagged with friend_beli_user_id/friend_name so the
agent tool can surface attribution ("via Alex").

Requires migration to add friend_beli_user_id/friend_name columns and update
unique_together on beli_restaurants.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:52:14 -04:00
Ryan Chen 7d1a89475a Fix Beli API client against actual spec
- Category codes: RES/DES/BAR/BAK (was full English words)
- score field: use 'value' from Score model (was 'score', which doesn't exist)
- rank_index: pass array position (no rank field in response)
- fetch_bookmarks: no query params (user param caused 405)
- notes: correctly None (stored separately, not in ranking results)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:23:52 -04:00
Ryan Chen 69b8697389 Fix Beli category codes: use RES/DES/BAR/BAK not full words
The API uses 3-letter codes, not full English words. Remove debug logging.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:21:14 -04:00
Ryan Chen 0367dac3cd Log full JWT claims on auth and refresh to find correct user UUID
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:15:04 -04:00
Ryan Chen 828fc7d16a Log full Beli ranking response for debugging
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:12:25 -04:00
Ryan Chen fcadec8bf6 Log raw response keys from Beli ranking endpoint
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:09:56 -04:00
Ryan Chen 2674a49574 Add debug logging to Beli refresh to inspect API response shape
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:06:13 -04:00
Ryan Chen 4c55168d52 Make Beli bookmark fetch non-fatal, pass user_id param
Bookmarks returning 400 was aborting the whole refresh and discarding
successfully-fetched ranking data. Now bookmarks log a warning and
continue. Also pass user= to the bookmark endpoint in case it's required.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 20:02:13 -04:00
Ryan Chen 863ebe8e20 Fix EncryptedTextField crashing on plaintext values during model creation
Tortoise calls to_python_value() when setting field values at create() time,
not only when loading from DB. Add _is_fernet_token() to distinguish encrypted
DB values (≥73 decoded bytes, version 0x80) from plaintext being set — the
latter passes through untouched while wrong-key errors on real tokens still raise.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 19:54:20 -04:00
Ryan Chen b6b866c9fc manage_beli: use uv run and username instead of email
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 19:43:15 -04:00
Ryan Chen f709528def Add manage_beli.py management script
CLI to add/list/refresh/remove Beli profiles without a frontend.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 19:42:05 -04:00
Ryan Chen d23273590f Add Beli restaurant recommendation integration
Multi-tenant system to fetch and store restaurant lists from Beli accounts.
Each user can connect up to 3 Beli profiles; a nightly Cronicle job (1–5 AM,
randomised) refreshes the 3 stalest profiles using the reverse-engineered Beli
API (mirrored at git.torrtle.co/ryan/beli-api). Rankings (been) and bookmarks
(want-to-try) are stored in Postgres and queryable via a new LangChain agent
tool. Beli passwords and refresh tokens are stored Fernet-encrypted.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 19:36:16 -04:00
Ryan Chen 53bbea42aa Use fresh UUID thread_id per agent run in scheduler and cron
Reusing the message/job ID as thread_id causes corrupted checkpoint state
when a previous run failed mid-tool-call. A fresh UUID each time guarantees
a clean conversation context.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:43:57 -04:00
Ryan Chen d806416f93 Round up scheduled_at to next minute for Cronicle one-shot timing
If scheduled_at has sub-minute seconds (e.g. retry = now+30s), the
Cronicle event would fire at the start of that minute before the message
is due and find nothing. Round up so it always fires after the due time.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:42:31 -04:00
Ryan Chen c6419f8931 Increase Cronicle trigger timeout to 5 min to allow LLM agent to complete
The shell script's Node.js socket timeout was 10s, too short for agent
runs with use_agent=true. Bump to 300s (5min) and set Cronicle job
timeout to 360s to match.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:38:58 -04:00
Ryan Chen 790a7059ce Per-message Cronicle events with recurrence-aware timing
Instead of an every-minute poller, each scheduled message gets its own
Cronicle event created at schedule time:
- One-time: year/month/day/hour/minute one-shot
- Daily/weekly/monthly: recurring timing matching the recurrence setting

Retry (PUT with new scheduled_at on failed messages) also creates a new
Cronicle event and resets status to pending. Recurring messages reuse
their existing Cronicle event across occurrences.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:32:22 -04:00
Ryan Chen 171410cf26 Fix agent invocation missing thread_id in scheduler and cron trigger
The checkpointer requires a thread_id in configurable. Use stable IDs
derived from the message/job ID so each has its own checkpoint thread.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:26:20 -04:00
Ryan Chen 504753eef9 Use Node.js script for Cronicle trigger to avoid shell dependency
Switches from curl (shell not available in Cronicle container) to a Node.js
inline script using the built-in http module. Tries raggr-green first, falls
back to raggr-blue automatically — no manual update needed on color swap.

Delete the existing broken Cronicle event before redeploying.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:21:09 -04:00
Ryan Chen 15a03dba91 Fix Cronicle event: use HTTP plugin (no shell needed) and every-minute timing
- Switch shellplug → urlplug to avoid spawn errors in shell-less containers
- Explicitly set timing to all 60 minutes (Cronicle {} defaults to hourly :00)
- Restore RAGGR_INTERNAL_URL env var for the HTTP plugin target URL

Delete the existing broken Cronicle event before redeploying so it gets recreated.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:19:04 -04:00
Ryan Chen c9c75b6be3 Fix Cronicle event creation: fetch real category ID instead of hardcoded c_general
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:13:15 -04:00
Ryan Chen 0e80e8b9df Try both raggr-green and raggr-blue in Cronicle scheduled messages script
Shell script falls back to the other color if the primary is down,
so the trigger works regardless of which container is currently active.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:10:44 -04:00
Ryan Chen 6e72d5f95a Auto-register scheduled messages event in Cronicle on startup
On startup raggr calls the Cronicle API (CRONICLE_URL + CRONICLE_API_KEY)
and creates a 'Scheduled Messages Trigger' shell event if it doesn't exist,
replacing the need to configure it manually in the Cronicle UI.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 08:09:27 -04:00
Ryan Chen 35b0e74a41 Migrate scheduled messages from internal poll loop to Cronicle trigger
Replaces the asyncio background loop (15s polling) with a POST
/api/scheduled-messages/trigger endpoint authenticated by X-Cron-Secret,
matching the existing cron jobs blueprint pattern.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 07:55:31 -04:00
Ryan Chen 2542fa2342 Fix: capture main_agent before SSE generator to avoid lost app context
Quart exits the request/app context before iterating the SSE response
body, so current_app inside event_generator() raised "Not within an app
context". Capture the reference before the generator is defined. Also
add return after the exception error yield to prevent falling through to
a second "No response generated" event on the same stream.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-17 07:43:52 -04:00
Ryan Chen e36bf35b2a Add ynab_category_allocations tool and fix category spending cap
Add get_category_allocations() to YNABService that fetches all categories
grouped by category group (using the categories API for group structure),
showing assigned and available amounts for every non-hidden category.

Add the corresponding ynab_category_allocations agent tool so the LLM
can answer questions about per-category budgets even when a category has
no spending activity this month.

Also remove the [:10] cap in ynab_category_spending so all spending
categories are returned — previously categories ranked below 10th by
activity (e.g. Coffee slush fund) were silently dropped.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 23:19:17 -04:00
Ryan Chen 19aa2b17d7 Fix _build_prompt receiving state dict instead of messages list
LangGraph passes the full agent state dict {"messages": [...]} to the
prompt callable, not just the messages list. Iterating a dict yields
its keys, so "messages" (the string) was getting appended to the LLM
input — causing the agent to respond as if the literal word "messages"
was the user's query.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 23:10:22 -04:00
Ryan Chen 43e0de24d6 Restore dynamic system prompt via RunnableLambda prompt parameter
Uses prompt=_build_prompt (a RunnableLambda) so LangGraph passes the
runtime config through, allowing per-request system_prompt injection.
Restores user memory loading for web and iMessage plain-text enforcement.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 23:04:43 -04:00
Ryan Chen 2a81ea8f76 Fix: migrate all remaining main_agent imports to current_app
email, scheduled_messages scheduler, and cron blueprints still imported
main_agent directly from agents. All now use current_app.main_agent so
they read the initialized value set by build_agent() in the lifespan.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 22:59:13 -04:00
Ryan Chen 810d32dcc3 Fix: store agent on app object, access via current_app
Global module variable was unreliable across import boundaries. Storing
the compiled agent on app.main_agent and reading it via current_app is
the idiomatic Quart pattern and guaranteed to reflect the initialized value.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 22:55:39 -04:00
Ryan Chen 6621a99149 Fix: access main_agent via module reference to avoid None at import time
from-import captures the None value set at module load; importing the module
and accessing .main_agent at call time gets the value set by build_agent().

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 22:51:18 -04:00
Ryan Chen 801a90746b Fix: replace deprecated state_modifier with prompt in create_react_agent
state_modifier was removed in this version of LangGraph; use the prompt
parameter with a static system prompt string instead. Dynamic memory
injection via configurable is deferred — memories are still saved by the
save_user_memory tool, just not pre-loaded into the system prompt.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 22:43:39 -04:00
Ryan Chen 202baa17e2 Fix: use langgraph.prebuilt.create_react_agent for state_modifier support
langchain.agents.create_agent does not accept state_modifier or checkpointer;
those are LangGraph-only params available on create_react_agent.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 22:37:11 -04:00
Ryan Chen f1ab1accaf Add LangGraph SQLite checkpointing and cron_jobs migration
Replaces per-request history reconstruction with a persistent AsyncSqliteSaver
checkpointer keyed by conversation ID, so agent state (tool calls, intermediate
steps) carries forward between turns without manual message list building.
Also includes the missing migration for the CronJob model added in bb4619a.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 22:34:04 -04:00
Ryan Chen bb4619aefe Add Cronicle-driven cron jobs with local migration workflow
Adds a new cron blueprint with UUID-keyed jobs that Cronicle triggers via
HTTP POST with a shared secret header. Also adds scripts/migrate-new.sh so
migrations can be generated locally against a Docker postgres when no prod
container is running.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 19:10:15 -04:00
Ryan Chen 82f16bfd6a Add Google Calendar and Gmail integration via Python SDK
Replaces the gws CLI subprocess approach with google-api-python-client.
Adds get_calendar_events, create_calendar_event, gmail_search_emails, and
gmail_get_email as LangChain tools; all admin-gated and auto-enabled when
token.json is present. Includes uv-runnable scripts/google_auth.py for
one-time OAuth2 setup.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-16 08:43:18 -04:00
Ryan Chen 7912c83ca3 Instruct LLM to avoid markdown formatting in iMessage responses
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-15 23:24:43 -04:00
Ryan Chen bc19f52052 Fix iMessage webhook timeout: ack SendBlue immediately, process in background
Move LLM invocation into a background asyncio task so the webhook returns 200
before SendBlue's timeout triggers retries. Validation, conversation setup, and
user message persistence still happen synchronously before the ack.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-15 23:21:20 -04:00
ryan 0122e018ac Add migration: message_handle on conversation_messages 2026-09-15 23:15:30 -04:00
Ryan Chen 7474055c97 Add iMessage threading, typing indicators, and fix tool-use response extraction
- Native reply threading: inbound replies continue their conversation via
  SendBlue message_handle lookup; standalone messages create a new conversation
- Our responses are sent with reply_to so they thread visually in iMessage
- Typing indicator fires before agent invocation and stops in a finally block
- Add extract_agent_text() to handle list-type AIMessage content and strip
  <think> tokens from Qwen3 — applied to iMessage, WhatsApp, and web chat
- ConversationMessage gains a nullable message_handle field (migration needed)
- /threads command lists recent iMessage conversations

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-15 23:10:50 -04:00
Ryan Chen 0478ee7568 Add Prometheus metrics endpoint for chat response observability
Tracks end-to-end response time and request counts (by stream mode and
result) via prometheus_client. Exposes GET /metrics behind a bearer
token (METRICS_TOKEN env var) so Prometheus can scrape it without
exposing raw data publicly.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-15 22:57:12 -04:00
Ryan Chen 46a4b874bd Fix iMessage agent: pass user config and load memories
The iMessage webhook called main_agent.ainvoke without a config, so
save_user_memory always raised KeyError('user_id') when invoked. The
system prompt instructs the agent to save memories proactively, causing
repeated tool failures and ultimately returning the error fallback to
the user on most messages.

Fix:
- Pass agent_config with user_id/is_admin to ainvoke, matching the web
  endpoint.
- Extract _build_system_prompt_with_memories out of the conversation
  blueprint __init__ into memory.py (public name) so both the web
  endpoint and iMessage share the same implementation, giving iMessage
  users access to their saved memories.
- Remove the leftover debug print() in add_message_to_conversation.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-15 22:57:04 -04:00
Ryan Chen 9777eaf9e1 Fix ThinkingBubble position: render above streaming answer not below
The ThinkingBubble was rendering after the messages list, so it appeared
below the partial answer while streaming. Inject it inside the messages
map just before the last streaming simba message so it sits above the
answer text. Keep the post-list fallback for when thinking is active
but no content has arrived yet.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 16:43:48 -04:00
Ryan Chen bb2103e81e Stream qwen3 thinking tokens with collapsible UI panel
Route <think>…</think> content from the llama-server stream into
thinking_delta SSE events instead of discarding it. A small look-ahead
buffer in _route_content() handles tags split across chunk boundaries.
Strip thinking tags from the persisted final_message so the DB stores
only the actual response.

Frontend: ThinkingBubble component accumulates the live reasoning text
in a scrollable panel that auto-collapses to "Thought for Xs" once the
first content token arrives. Falls back to the existing heartbeat
behaviour for models that don't emit <think> tags.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 16:26:25 -04:00
Ryan Chen 2a1f125fa5 Temporary debug: log chunk.additional_kwargs during think phase
Log the first non-empty additional_kwargs seen during the pre-content
thinking window to confirm whether llama-server surfaces reasoning_content
for qwen3. Will be removed after verification.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 16:14:35 -04:00
Ryan Chen 8fd6fa9ece Add TTFT watchdog to detect and surface LLM stalls
When llama-server is queue-backed it accepts the connection but never
produces tokens; after ~60s Caddy drops the connection and the frontend
clears loading state with no response and no error shown to the user.

Backend: replace the async-for event loop with an explicit __anext__()
iterator wrapped in asyncio.wait_for(). A 30s timeout (TTFT_TIMEOUT_SECONDS)
applies only in the window between on_chat_model_start and the first content
token — tool calls are excluded. On timeout, emits a stalled error event and
logs it rather than waiting for the proxy to kill the connection.

Frontend: separates stall errors from generic errors; shows a "Simba didn't
respond in time. Retry" pill that re-sends the original query.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 16:10:44 -04:00
ryan 3875ed4e4f Merge pull request 'Add structured timing logs to stream-query for slow-request diagnosis' (#51) from stream-observability into main
Reviewed-on: #51
2026-09-12 15:48:32 -04:00
Ryan Chen c071fd12e1 Add structured timing log to stream_query for slow-request diagnosis
Every SSE request emits a JSON summary line on completion, cancellation,
or error:

  {"event":"stream_request","conv":"...","user":"ryan",
   "total_ms":45210,"thinking_ms":38100,"ttft_ms":38200,
   "tokens":112,"tools":[{"tool":"web_search","ms":820}],
   "model":"llama","cancelled":false}

Fields:
- total_ms    end-to-end wall time
- thinking_ms time from first LLM call to first content token (reasoning)
- ttft_ms     time to first content token from request start
- tokens      approximate content token count (stream deltas)
- tools       each tool invoked with wall-clock duration
- model       LLM name from LangChain metadata (catches fallback to OpenAI)
- cancelled   true when client disconnected mid-stream

Tool timers use the LangChain run_id to correctly pair start/end even
when the same tool is called multiple times in one turn.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 15:48:19 -04:00
ryan 6427b71043 Merge pull request 'Show a thinking indicator while the model reasons' (#49) from agent-image-and-context-fixes into main
Reviewed-on: #49
2026-09-12 15:30:37 -04:00
Ryan Chen b132efe6a0 Don't cancel stream on navigation away
Aborting the fetch on component unmount sent a disconnect to the server,
which cancelled the in-flight generation. Now the stream runs to
completion in the background (isMountedRef guards prevent stale state
updates), the response is persisted, and it's there when the user
returns to the conversation. stopGeneration() still aborts immediately
on explicit user cancel.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 15:29:53 -04:00
Ryan Chen d7639d9d0a Show a thinking indicator while the model reasons
qwen3.8-27b is a reasoning model: it can think for hundreds of tokens
before any visible content streams. The SSE stream only forwarded
content deltas, so the UI showed dead air for the whole think and long
answers looked hung (users cancel ~1 min in).

The stream now emits a throttled {"type": "thinking"} heartbeat while
the current model turn has produced no content yet, and the frontend
renders a pulsing "Thinking..." pill until content or a tool call
arrives. The heartbeat also keeps bytes flowing on the SSE connection
during long thinks, so idle-timeout disconnects in the proxy chain
can't kill the stream.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 15:28:43 -04:00
ryan a591cfa343 Merge pull request 'Match llama-server speed and context handling for images and multi-turn chat' (#48) from agent-image-and-context-fixes into main
Reviewed-on: #48
2026-09-12 15:15:24 -04:00
Ryan Chen ca37c4a780 Fix history roles and persist tool results for cross-turn context
Two fixes for the agent losing track of conversation context:

- History replay compared msg.speaker (a Speaker enum) to the string
  "user", which is always false, so every prior message — including the
  user's — was sent to the LLM with role "assistant". Compare against
  Speaker.USER instead. Affected web, iMessage, WhatsApp, and email.

- Tool outputs (web searches, RAG chunks) were discarded after each
  turn, so follow-up questions about fetched content had nothing to
  reference. Persist them as speaker="tool" messages (capped at 4000
  chars) and replay them in history as assistant context. The
  conversation GET endpoint serves only their header line so the UI
  tool pill stays compact.

Also bumps the replayed history window from 10 to 20 messages since
tool messages now share it.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-09-12 15:14:33 -04:00
Ryan Chen 7527ef3adf Pass images directly to the agent as multimodal content
Image messages previously ran two sequential LLM generations: a full
non-streamed vision call to describe the image, then a second agent call
with the description pasted in as text. The agent's llama-server model is
already vision-capable, so attach the image to the user message as an
OpenAI-style image_url content part and let the single agent call see it.
Roughly halves image-turn latency and streams from the start.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-09-12 15:13:47 -04:00
ryan a172a71a70 Merge pull request 'Normalize image to JPEG before vision analysis (fixes HEIF/HEIC support)' (#46) from imessage-image-upload into main
Reviewed-on: #46
2026-09-12 14:13:07 -04:00
Ryan Chen 600791ea5d Normalize image to JPEG before vision analysis (fixes HEIF/HEIC support)
analyze_user_image now runs input bytes through Pillow before base64-
encoding, converting HEIC/HEIF and any other non-JPEG format to JPEG.
pillow_heif is already registered at module load so HEIC opens cleanly.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 14:12:26 -04:00
ryan 0212058677 Merge pull request 'Support image uploads via iMessage' (#45) from imessage-image-upload into main
Reviewed-on: #45
2026-09-12 14:11:02 -04:00
Ryan Chen 684460903f Support image uploads via iMessage (SendBlue media_url)
When SendBlue delivers a message with a media_url, download the image
and pass it through analyze_user_image so the agent receives a text
description alongside any caption. Image-only messages (no caption) are
now accepted; previously they were rejected as missing content.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-12 14:08:25 -04:00
ryan 0a0df266c2 Merge pull request 'Allow pasting images into the chat input' (#44) from paste-image-upload into main
Reviewed-on: #44
2026-09-11 17:26:02 -04:00
Ryan Chen 1e4942e0b8 Allow pasting images into the chat input 2026-09-11 17:25:13 -04:00
ryan 2988482791 Merge pull request 'Add read timeouts to llama-server clients so hangs fail fast' (#43) from llama-timeouts into main
Reviewed-on: #43
2026-09-11 17:18:15 -04:00
Ryan Chen 56ad5f7046 Document git workflow (Gitea, tea CLI, kermit = commit) 2026-09-11 17:13:11 -04:00
Ryan Chen b361377088 Add read timeouts to llama-server clients so hangs fail fast
The OpenAI client defaults to a 600s read timeout, so a wedged
llama-server blocked requests for 10 minutes and never raised, which
meant with_fallbacks() to OpenAI never triggered. Set a per-chunk read
timeout (120s, configurable via LLAMA_TIMEOUT_SECONDS) plus one retry
on the ChatOpenAI and LLMClient clients. Context is preserved because
conversation history is rebuilt from Postgres on every request.
2026-09-11 17:05:10 -04:00
ryan ce461b6ff9 Merge pull request 'Fix missing React import in AnswerBubble' (#42) from fix-answer-bubble-react-import into main
Reviewed-on: #42
2026-09-11 16:41:15 -04:00
Ryan Chen bddd741fcc Fix missing React import in AnswerBubble 2026-09-11 16:40:48 -04:00
ryan 2db7e6f2e5 Merge pull request 'Copy button + hover highlight on assistant messages' (#41) from copy-answer-messages into main
Reviewed-on: #41
2026-09-11 16:28:52 -04:00
Ryan Chen b23fd19c4b Copy button + hover highlight on assistant messages 2026-09-11 16:27:51 -04:00
ryan 4e3842495f Merge pull request 'Update CLAUDE.md to reflect current repo state' (#40) from update-claude-md into main
Reviewed-on: #40
2026-09-11 16:15:59 -04:00
Ryan Chen 434c394651 Update CLAUDE.md to reflect current repo state
Adds the email/iMessage/WhatsApp/scheduled-message blueprints,
simbakit subproject, household integration utils (YNAB, Mealie,
Obsidian, S3, Immich), and corrects environment variable names to
match .env.example.
2026-09-11 16:14:19 -04:00
Ryan Chen 20d44bb3b3 Autofocus textarea on new conversation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-10 14:14:59 -04:00
Ryan Chen d8d01a5fff Zero-downtime blue-green deploys behind Caddy health checks
Split the raggr service into raggr-blue (8080) and raggr-green (8081)
behind compose profiles, add a /api/health endpoint and container
healthcheck, and add scripts/deploy.sh to build the inactive color,
wait for it to become healthy, then gracefully stop the old one.
Makefile targets resolve the active color automatically.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-09-10 01:41:37 -04:00
Ryan Chen 3318839551 Sort conversations by last activity
Bump Conversation.updated_at on every message (not just the first) so
actively-used conversations rise to the top of the list endpoint's
existing -updated_at sort. Refresh the sidebar after every send so the
just-used conversation reorders live.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-10 01:33:44 -04:00
Ryan Chen 4fe5b8daea Persist streamed assistant answers even if the client disconnects
The first message in a new conversation navigated to /c/:id, which remounted
ChatScreen (two separate routes) and aborted the in-flight /stream-query fetch.
Server-side that surfaced as asyncio.CancelledError, which isn't an Exception,
so the except branch missed it and skipped the add_message_to_conversation
save — the fully-streamed answer was never persisted.

Backend: handle CancelledError and persist via a detached, shielded task so a
disconnect at any point (navigation, tab close, network blip) still commits the
answer. Frontend: serve "/" and "/c/:id" from a single catch-all ChatScreen
route so first-message navigation no longer remounts and aborts the stream;
derive the conversation id via useMatch instead of useParams.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-10 01:33:44 -04:00
ryan 53f76f58ea Merge pull request 'Stream assistant answers token-by-token; mobile drawer + conversation pagination' (#39) from mobile-drawer-conversation-pagination into main
Reviewed-on: #39
2026-09-09 23:15:14 -04:00
Ryan Chen b918522816 Stream assistant answers token-by-token over SSE
The /stream-query endpoint previously emitted only tool-lifecycle events plus
one final complete message, so the answer still appeared all at once. Handle
on_chat_model_stream events to emit incremental `content` deltas, accumulate
them for persistence fallback, and consume them on the frontend to build a live
assistant bubble (reconciled with the authoritative final text). Hide the
redundant loading indicator once tokens start arriving.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-09 23:14:08 -04:00
ryan eb8cd19e46 Merge pull request 'Mobile slide-in drawer + conversation pagination' (#38) from mobile-drawer-conversation-pagination into main
Reviewed-on: #38
2026-09-09 22:32:37 -04:00
Ryan Chen 09dd983c4e Replace inline mobile menu with slide-in drawer and paginate conversations
Rework mobile navigation into a proper left slide-in drawer with a dimmed
backdrop, sharing a new SidebarContent component with the desktop sidebar so
mobile users can reach Admin/Scheduler/Sign out. The sidebar now loads only the
10 most recent conversations; a dedicated /conversations page browses the full
list with server-side search and "Load more" pagination.

- Backend: limit/offset/search query params on GET /api/conversation/
- SidebarContent shared by desktop sidebar and mobile drawer
- useConversationBrowser hook powers the dedicated page
- Remove duplicated inline conversation lists from ChatScreen

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-09 22:32:19 -04:00
ryan 35a2e10bc8 Merge pull request 'Render assistant replies as full-width text instead of bubbles' (#37) from conversation-routing into main
Reviewed-on: #37
2026-09-09 22:20:29 -04:00
Ryan Chen 530a90f237 Render assistant replies as full-width text instead of bubbles
Strip the card, border, shadow, and accent bar from AnswerBubble so
Simba's replies read like Claude/ChatGPT — plain full-width markdown on
the page. User messages stay bubbled for turn contrast. Widen the reading
column to max-w-3xl with roomier spacing.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-09-09 22:19:58 -04:00
ryan bde4a994b7 Merge pull request 'Add per-conversation URLs with client-side routing' (#36) from conversation-routing into main
Reviewed-on: #36
2026-09-09 22:12:06 -04:00
Ryan Chen 6a62db2e85 Add per-conversation URLs with client-side routing
Give each conversation a deep-linkable URL (/c/:conversationId) so threads
survive refresh, support browser back/forward, and are shareable within a
session. The app was already an SPA but had no router.

- Add react-router-dom; wrap the app in BrowserRouter and define routes
  ("/" for the empty/new state, "/c/:conversationId" for a thread)
- Make the URL the source of truth for selection: selectedConversation is
  derived from the :conversationId param; create/delete navigate instead of
  mutating local selection state
- Load a thread's messages in a URL-keyed effect that clears immediately for
  an instant switch, with a stale-response guard
- Preserve the optimistic message + in-flight stream when the first message
  lazily creates a conversation and navigates into it (skip-ref keyed on the
  new id, guarded against the null/home-route collision)

No backend changes: app.py already serves index.html for unmatched paths.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-09 22:10:47 -04:00
ryan 47db945393 Merge pull request 'Add PetKit Eversweet Ultra water fountain support to SimbaKit' (#34) from eversweet-ultra-support into main
Reviewed-on: #34
2026-09-09 21:34:53 -04:00
ryan 6293d9df0a Merge pull request 'Clean up frontend chat interactions and scope conversation access to owner' (#35) from frontend-interactions-cleanup into main
Reviewed-on: #35
2026-09-09 21:34:42 -04:00
Ryan Chen 32285891fc Clean up frontend chat interactions and scope conversation access to owner
Frontend:
- Add stop-generation button (wire up the unused AbortController)
- Surface stream/network errors in a dismissible banner instead of console
- Add rename and delete for conversations via a per-thread menu
- Make simba mode a single controlled source; fix miscast keydown handler
- Auto-grow the message textarea; remove dead ConversationMenu component

Backend:
- Scope get/query/stream-query/rename/delete conversation routes to the
  authenticated owner via a shared _get_owned_conversation helper (fixes IDOR)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-09 09:53:53 -04:00
Ryan Chen 7aef6484c3 Render GFM tables in chat replies
Enable remark-gfm in AnswerBubble so pipe-table syntax parses instead
of showing as raw text, and add table styling to markdown-content.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-09 09:38:54 -04:00
Ryan Chen 9dcb0f91d0 Add PetKit Eversweet Ultra water fountain support to SimbaKit
Upgrades pypetkitapi to 1.28.0, which adds the Eversweet Ultra (W7H
fountain with AI camera). The poller now extracts per-pet drinking
events (drink_over/pet_detect records) into a new drinking_events
table, plus Ultra-specific alerts for waste tank full and filter
expiry. Uncertain state fields (cwt/wt/pump) are logged for threshold
tuning against real data.

Exposes the data via a new /api/pets/drinking-events endpoint, a
Fountain Activity dashboard section, and a simbakit_drinking_activity
LangChain tool so the agent can answer hydration questions.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-09 10:44:07 -04:00
Ryan Chen cd94f98c63 Integrate Mealie meal planning service into LangChain agent
Wires up the existing MealieService to the conversational agent with tools
for querying today's meals, weekly meal plans, full recipes, shopping lists,
and creating new meal plan entries. Adds env vars to docker-compose and
updates the system prompt so the agent knows when to use each tool.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-12 10:59:49 -04:00
Ryan Chen 01969b2d24 Integrate SimbaKit PetKit service into Docker stack and LangChain agent
Adds simbakit/ as a subfolder service that polls PetKit smart devices
(litter box, fountain, feeder) and exposes pet weight, litter activity,
and device health data via three new LangChain tools.

Also fixes stale alerts bug where cleared conditions (e.g. waste bin
full) persisted because the query used max alert time instead of the
device's last_seen_at timestamp.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-12 10:24:59 -04:00
Ryan Chen add9946bc2 Improve Obsidian RAG retrieval for large vaults
- Markdown-aware chunking (split on headers before size-based splitting)
- Prepend note filename to each chunk for self-contained context
- Source-filtered retrieval (obsidian/paperless queries stay isolated)
- MMR search with k=8, fetch_k=24 for better recall and diversity
- Add source metadata to Paperless docs and folder metadata to Obsidian docs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-04 13:34:15 -04:00
Ryan Chen 9bccac82f3 Add "Ask Simba" option to scheduled messages
When use_agent is enabled, the scheduler runs the message content as a
prompt through the LangChain agent and sends Simba's response instead of
the raw content. Frontend adds an Ask Simba toggle with visual indicator.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-04 11:15:11 -04:00
Ryan Chen 489066940d Increase CharEnumField max_length to 20 for scheduled_messages
Fixes aerich migration failure: value too long for type character varying(10)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-04 10:54:41 -04:00
Ryan Chen 467e752629 Add recurring scheduled messages (daily, weekly, monthly)
Extend scheduled messages with a recurrence field. After sending a
recurring message, the scheduler automatically creates the next pending
occurrence. Frontend adds repeat toggle (Once/Daily/Weekly/Monthly) and
displays recurrence in the messages table.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 23:30:30 -04:00
Ryan Chen f5203e0466 Add scheduled messages and strip markdown from iMessage responses
Strip markdown formatting (bold, italic, headers, code, links, lists) from
LLM responses before sending via iMessage. Add scheduled messages feature
with CRUD API, background scheduler loop, and admin frontend panel.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 23:25:10 -04:00
Ryan Chen 3ba93c55f4 Add channel-scoped conversations for iMessage, WhatsApp, and email
Revert get_conversation_for_user to use Conversation.get() with
MultipleObjectsReturned fallback. Add channel field to Conversation
model and get_conversation_for_channel helper so each messaging
channel gets its own isolated conversation per user.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:39:39 -04:00
Ryan Chen a693874662 Add SendBlue env vars to docker-compose
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:34:08 -04:00
Ryan Chen 846477075e Add link_imessage management script
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:31:12 -04:00
Ryan Chen 1e753bfaab Add SendBlue webhook signature validation
Validates sb-signing-secret header against SENDBLUE_WEBHOOK_SECRET env var.
Can be disabled with SENDBLUE_SIGNATURE_VALIDATION=false for development.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:28:35 -04:00
Ryan Chen 20576cabf3 Add SendBlue iMessage integration with admin-only access
- New imessage blueprint: webhook receives inbound iMessages, runs through
  LangChain agent, replies via SendBlue REST API
- Admin-only: only users with lldap_admin group can use iMessage channel
- Admin endpoints to link/unlink imessage_number on user accounts
- Add imessage_number field to User model (needs aerich migration)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:22:15 -04:00
Ryan Chen 02dd3df1f9 Use calendar events list API for all-day event support
Switch from gws calendar +agenda to gws calendar events list with
explicit timeMin/timeMax and singleEvents=true to include all-day events.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:12:17 -04:00
Ryan Chen 33f19e704c Fix gws CLI npm package name to @googleworkspace/cli
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:04:10 -04:00
ryan 8eee58de60 ops 2026-06-03 19:02:18 -04:00
Ryan Chen 98c47d5507 Add read-only Google Calendar integration via gws CLI
Adds a get_calendar_events agent tool that shells out to `gws calendar +agenda`
for admin users. Controlled by GOOGLE_CALENDAR_ENABLED env var, with OAuth
credentials mounted from credentials.json.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-06-03 19:01:33 -04:00
Ryan Chen 9a149cdaa6 Use in-memory cache for obsidian indexed files instead of cross-engine DB query
The async/sync engine split caused visibility issues where newly indexed
files weren't found on the next cycle, triggering re-indexing of all 36
files every 60 seconds. Replace with a module-level dict that loads from
DB on cold start and stays in sync via cache updates after each indexing.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 07:37:39 -04:00
Ryan Chen 00c9b44c0e Preserve wikilink text in Obsidian indexing and fix duplicate sync
Two fixes:
- Convert wikilinks to display text instead of stripping them entirely.
  [[Noah]] becomes "Noah", [[target|display]] becomes "display". This
  was causing names and references in wikilinks to be invisible to search.
- Switch _get_obsidian_indexed_files to async engine to avoid stale reads
  from the separate sync engine, which caused files to be re-indexed
  every cycle.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 07:35:24 -04:00
Ryan Chen 73e952c617 Set Obsidian sync to pull-only mode
Prevents local changes from being pushed back to Obsidian servers.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 07:29:18 -04:00
Ryan Chen 9f51dc3cdb Fix NOT NULL violation on empty splits and increase search results to k=6
Empty documents after sanitization caused aadd_documents to issue a
DEFAULT VALUES insert. Guard with an emptiness check. Also increase
similarity search k from 2 to 6 so multi-word queries like full names
have better recall.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 07:16:28 -04:00
Ryan Chen 1e6bc536b4 Fix datetime serialization in Obsidian metadata for pgvector
YAML frontmatter can contain datetime objects which aren't JSON
serializable. Add _make_serializable() to coerce all metadata values
before storing in pgvector.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 07:11:29 -04:00
Ryan Chen 869de1c250 Add incremental Obsidian-to-pgvector sync with background watcher
Replace full delete-and-reindex with mtime-based incremental sync that
only re-indexes changed/new files and removes deleted ones. A background
polling task keeps the vector store up-to-date automatically when
OBSIDIAN_CONTINUOUS_SYNC=true.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 07:05:48 -04:00
Ryan Chen 2cd77c68c1 Fix daily note path to match vault structure
Update from journal/YYYY/YYYY-MM-DD.md to
50 - Journal/YYYY/MM/YYYY-MM-DD.md to match the actual Obsidian vault
folder layout.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 00:08:40 -04:00
Ryan Chen ad5b889bf1 Remove stale Obsidian sync lock before starting continuous sync
The ob CLI uses a directory lock at .obsidian/.sync.lock that persists
across container restarts via the volume mount, causing "Another sync
instance is already running" errors. Remove it before starting sync.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 00:07:37 -04:00
Ryan Chen 75e6b09464 Guard against missing Obsidian credentials to prevent startup hang
ob login blocks waiting for interactive input when OBSIDIAN_EMAIL or
OBSIDIAN_PASSWORD is empty. Check required env vars before attempting
login to skip sync gracefully with a warning instead of hanging.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-31 00:02:28 -04:00
Ryan Chen 47238f8567 Fix Obsidian sync race condition and block credentials.json from being served
Run ob login and sync-setup in foreground before backgrounding sync to
prevent "Another sync instance is already running" error. Restrict the
catch-all route to only serve whitelisted static file extensions to
prevent sensitive files like credentials.json from being exposed.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-30 23:59:29 -04:00
Ryan Chen 5e0e2994c2 Fix Obsidian sync setup in Docker by running login and sync-setup before sync
Replace OBSIDIAN_AUTH_TOKEN with OBSIDIAN_EMAIL/OBSIDIAN_PASSWORD and run
the full ob login → sync-setup → sync sequence on container startup so
fresh containers authenticate properly instead of failing with
"Run 'ob sync-setup' first".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-30 23:52:30 -04:00
Ryan Chen 9629bfcef4 Fix embedding tokenizer mismatch with custom embedding server
Disable tiktoken pre-encoding for custom embedding servers. LangChain
was encoding text into OpenAI token IDs then sending them to llama-server
which has a different vocabulary, causing "invalid tokens" errors.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-11 23:42:23 -04:00
Ryan Chen b4097730ef Add per-chunk error logging and broaden text sanitizer
Indexes chunks one at a time with error logging to identify which
document/chunk causes embedding failures. Also strips Unicode surrogates
and replacement characters.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-11 23:38:03 -04:00
Ryan Chen abb06b78e2 Sanitize document text before embedding to fix tokenizer errors
Strips null bytes, control characters, and excessive whitespace from
document content before sending to embedding models. Fixes 400 errors
from BERT-based tokenizers (e.g. nomic-embed-text) on PDF-extracted text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-11 23:35:25 -04:00
Ryan Chen 92171cbfb6 Support custom OpenAI-compatible embedding server with OpenAI fallback
Adds EMBEDDING_SERVER_URL and EMBEDDING_MODEL_NAME env vars, mirroring
the existing LLAMA_SERVER_URL pattern for LLM configuration.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-11 23:24:54 -04:00
ryan 8e884b5e76 Merge pull request 'Refactor frontend to hook-based architecture' (#33) from refactor/frontend-hooks into main
Reviewed-on: #33
2026-04-24 09:12:47 -04:00
ryan ed973357e8 Merge pull request 'Improve Simba system prompt' (#31) from feat/improve-system-prompt into main
Reviewed-on: #31
2026-04-24 09:12:39 -04:00
Ryan Chen 4ac0754ea7 Refactor frontend to hook-based architecture
Extract logic from god components into custom hooks (useAuthCheck,
useConversations, useChat, usePresignedUrl, useAdminUsers, useOIDCAuth).
Eliminate unnecessary useEffects per React guidelines — scroll is now
imperative, isAdmin comes from useAuthCheck instead of a separate fetch.
ConversationList becomes a pure presentational component. Wrap bubble
components in React.memo.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 09:11:57 -04:00
Ryan Chen db977270a3 Improve Simba system prompt for more helpful responses
Shift focus from cat persona to genuine helpfulness. Keep light
cat flavor but prioritize thorough, detailed answers over the
assertive cat act.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 08:58:29 -04:00
ryan bac773ae4b Merge pull request 'Enable async_mode on PGVector for async method support' (#30) from refactor/chromadb-to-pgvector into main
Reviewed-on: #30
2026-04-24 08:53:34 -04:00
Ryan Chen 564a9b68a5 Enable async_mode on PGVector for async method support
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 08:53:21 -04:00
ryan 7742673cc0 Merge pull request 'Handle missing pgvector tables on first run' (#29) from refactor/chromadb-to-pgvector into main
Reviewed-on: #29
2026-04-24 08:49:38 -04:00
Ryan Chen c157c37cde Handle missing pgvector tables on first run
_get_collection_id now catches the UndefinedTable error that occurs
before the first index operation creates the langchain tables.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 08:49:00 -04:00
ryan 3b8fa3e7a0 Merge pull request 'Replace ChromaDB with pgvector' (#28) from refactor/chromadb-to-pgvector into main
Reviewed-on: #28
2026-04-24 08:44:39 -04:00
Ryan Chen 438399646f Replace ChromaDB with pgvector for vector storage
Consolidate onto PostgreSQL by using pgvector instead of a separate
ChromaDB instance. This removes a Docker volume, a large dependency,
and simplifies the stack without meaningful performance impact at
our document scale.

- Swap langchain-chroma for langchain-postgres (PGVector)
- Use pgvector/pgvector:pg16 Docker image with init script
- Lazy-initialize vector store to avoid eager DB connections
- Add SQL helpers for stats/delete/list (replacing _collection access)
- Remove legacy main.py, chunker, petmd scraper, and /api/query endpoint

Re-index required after deploy (POST /api/rag/index + /index-obsidian).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 08:43:52 -04:00
ryan 9ed4ca126a Merge pull request 'Fix mobile conversation launch resetting to homepage' (#27) from fix/mobile-conversation-launch into main
Reviewed-on: #27
2026-04-09 22:09:55 -04:00
Ryan Chen f3ae76ce68 Fix mobile conversation launch resetting to homepage
Remove the useEffect on selectedConversation.id that race-conditions
with handleQuestionSubmit — it fetches the (still-empty) conversation
and wipes messages, sending the user back to the empty state. Refresh
conversation list after streaming completes instead to pick up the
auto-generated title.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-09 22:08:26 -04:00
ryan 7ee3bdef84 Merge pull request 'Simplify conversation naming to first message truncation' (#26) from feat/conversation-name-truncation into main
Reviewed-on: #26
2026-04-09 22:04:33 -04:00
Ryan Chen 500c44feb1 Simplify conversation naming to truncate first message
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-09 22:02:10 -04:00
ryan 896501deb1 Merge pull request 'Add user memory for cross-conversation recall' (#25) from feat/user-memory into main
Reviewed-on: #25
2026-04-09 21:54:04 -04:00
Ryan Chen c95800e65d Add user memory feature for cross-conversation recall
Give the LangChain agent a save_user_memory tool so users can ask it to
remember preferences and personal facts. Memories are stored per-user in
a new user_memories table and injected into the system prompt on each
conversation turn.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-09 21:53:14 -04:00
ryan 90372a6a6d Merge pull request 'Order conversations by recency and auto-name from first message' (#24) from feat/conversation-ordering-and-naming into main
Reviewed-on: #24
2026-04-05 10:43:09 -04:00
Ryan Chen c01764243f Order conversations by recency and auto-name from first message
Conversations are now returned sorted by most recently updated first.
New conversations are named using the first 100 characters of the
user's initial message instead of a username+timestamp placeholder.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-05 10:34:48 -04:00
ryan dfaac4caf8 Merge pull request 'Extend JWT token expiration times' (#23) from extend-jwt-expiration into main
Reviewed-on: #23
2026-04-05 10:13:29 -04:00
ryan 17c3a2f888 Merge pull request 'Add redeploy Makefile target' (#20) from feat/makefile-redeploy into main
Reviewed-on: #20
2026-04-05 10:13:01 -04:00
ryan fa0f68e3b4 Merge pull request 'Fix OIDC login crash when groups claim is null' (#22) from fix/oidc-null-groups into main
Reviewed-on: #22
2026-04-05 10:12:55 -04:00
Ryan Chen 07c272c96a Extend JWT token expiration times
Access tokens now last 1 hour (up from default 15 min) and refresh
tokens last 30 days, reducing frequent re-authentication.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-05 10:10:47 -04:00
Ryan Chen 3671926430 Add redeploy Makefile target for quick pull-and-restart
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-04 09:10:10 -04:00
169 changed files with 24877 additions and 3709 deletions
+80 -6
View File
@@ -10,6 +10,12 @@ POSTGRES_DB=raggr
# JWT Configuration
JWT_SECRET_KEY=your-secret-key-here
# Metrics Configuration
# Bearer token for the /metrics endpoint (Prometheus scrape + app token gate).
# Generate with: openssl rand -hex 32
# Leave empty to keep /metrics returning 403 (fail-closed).
METRICS_TOKEN=
# Paperless Configuration
PAPERLESS_TOKEN=your-paperless-token
BASE_URL=192.168.1.5:8000
@@ -18,11 +24,13 @@ BASE_URL=192.168.1.5:8000
# If set, uses llama-server as the primary LLM backend with OpenAI as fallback
LLAMA_SERVER_URL=http://192.168.1.213:8080/v1
LLAMA_MODEL_NAME=llama-3.1-8b-instruct
TTFT_TIMEOUT_SECONDS=30
# ChromaDB Configuration
# For Docker: This is automatically set to /app/data/chromadb
# For local development: Set to a local directory path
CHROMADB_PATH=./data/chromadb
# Embedding Server Configuration
# If set, uses a custom OpenAI-compatible embedding server (e.g. llama-server)
# Falls back to OpenAI embeddings if not set
EMBEDDING_SERVER_URL=http://192.168.1.7:8086/v1
EMBEDDING_MODEL_NAME=all-minilm
# OpenAI Configuration
OPENAI_API_KEY=your-openai-api-key
@@ -54,12 +62,16 @@ OIDC_USE_DISCOVERY=true
YNAB_ACCESS_TOKEN=your-ynab-personal-access-token
# Optional: Specify a budget ID, or leave empty to use the default/first budget
YNAB_BUDGET_ID=
# Seconds between background YNAB delta syncs (agent tools also sync on demand)
YNAB_SYNC_INTERVAL=900
# Mealie Configuration
# Base URL for your Mealie instance (e.g., http://192.168.1.5:9000 or https://mealie.example.com)
MEALIE_BASE_URL=http://192.168.1.5:9000
# Get your API token from Mealie's user settings page
MEALIE_API_TOKEN=your-mealie-api-token
# Group slug used in recipe page links (/g/<slug>/r/<recipe>); defaults to "home"
MEALIE_GROUP_SLUG=home
# Email Integration
# Email Encryption Key (32-byte URL-safe base64)
@@ -92,9 +104,61 @@ EMAIL_HMAC_SECRET=
# Set to false to disable Mailgun signature validation in development
MAILGUN_SIGNATURE_VALIDATION=true
# SendBlue Configuration (iMessage)
SENDBLUE_API_KEY=your-sendblue-api-key
SENDBLUE_API_SECRET=your-sendblue-api-secret
SENDBLUE_FROM_NUMBER=+1XXXXXXXXXX
SENDBLUE_WEBHOOK_SECRET=your-sendblue-webhook-secret
# Set to false to disable SendBlue signature validation in development
SENDBLUE_SIGNATURE_VALIDATION=true
# Comma-separated list of iMessage numbers allowed to use the service (E.164 format)
# Use * to allow any number
ALLOWED_IMESSAGE_NUMBERS=
# Rate limiting: max messages per window (default: 10 messages per 60 seconds)
# IMESSAGE_RATE_LIMIT_MAX=10
# IMESSAGE_RATE_LIMIT_WINDOW=60
# Google Calendar + Gmail Configuration (Python SDK)
# Run scripts/google_auth.py to generate token.json from your OAuth2 credentials:
# python scripts/google_auth.py --credentials credentials.json --token token.json
# Then mount token.json into the container (see docker-compose.yml).
# If GOOGLE_TOKEN_FILE points to a valid token, both Calendar and Gmail are enabled.
GOOGLE_TOKEN_FILE=/app/config/google-token.json
# Cronicle Integration
# Shared secret for Cronicle to authenticate cron job trigger requests.
# Generate with: openssl rand -hex 32
CRON_SECRET=
# Cronicle server URL and API key (from Cronicle Admin → API Keys)
# Used to auto-register scheduled jobs on startup.
CRONICLE_URL=http://cronicle:3012
CRONICLE_API_KEY=
# SimbaKit / PetKit Configuration
# PetKit account credentials (used by SimbaKit to poll device data)
PETKIT_USERNAME=your-petkit-email
PETKIT_PASSWORD=your-petkit-password
PETKIT_REGION=US
PETKIT_TIMEZONE=America/New_York
# Internal URL for SimbaKit service (Docker network)
SIMBAKIT_URL=http://simbakit:8585
# Homebox inventory (admin-only agent tools via homebox-mcp, needs Homebox >= 0.26)
# API key from Homebox Profile -> API Keys (starts with hb_). Leave empty to disable.
HOMEBOX_URL=https://homebox.example.com
HOMEBOX_TOKEN=
# BookStack wiki (admin-only agent tools via bookstack-mcp: read, create, update; no deletes)
# API token from BookStack Profile -> API Tokens (user needs the "Access System API" permission).
# Leave empty to disable.
BOOKSTACK_BASE_URL=https://bookstack.example.com
BOOKSTACK_TOKEN_ID=
BOOKSTACK_TOKEN_SECRET=
# Obsidian Configuration (headless sync)
# Auth token from Obsidian account (Settings → Account → API token)
OBSIDIAN_AUTH_TOKEN=your-obsidian-auth-token
# Obsidian account credentials (used for `ob login` on container startup)
OBSIDIAN_EMAIL=your-obsidian-email
OBSIDIAN_PASSWORD=your-obsidian-password
# Vault ID to sync (found in Obsidian sync settings)
OBSIDIAN_VAULT_ID=your-vault-id
# End-to-end encryption password (if vault uses E2E encryption)
@@ -105,3 +169,13 @@ OBSIDIAN_DEVICE_NAME=simbarag
OBSIDIAN_CONTINUOUS_SYNC=false
# Local path to Obsidian vault (where files are synced)
OBSIDIAN_VAULT_PATH=/app/data/obsidian
# Vault name for obsidian://open links in the artifact panel (optional; no link if unset)
OBSIDIAN_VAULT_NAME=
# LangGraph checkpoint store (SQLite). Must be on a persistent volume.
# Both blue and green containers share this volume via docker-compose.
CHECKPOINT_DB_PATH=/app/checkpoints/checkpoints.db
# Beli restaurant recommendations
# Beli account credentials for each profile are stored encrypted in the database.
# No additional env vars needed — auth is done via the Beli API at login time.
+2 -3
View File
@@ -11,11 +11,10 @@ wheels/
# Environment files
.env
credentials.json
token.json
# Database files
chromadb/
chromadb_openai/
chroma_db/
database/
*.db
+70 -22
View File
@@ -4,33 +4,39 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
## Project Overview
SimbaRAG is a RAG (Retrieval-Augmented Generation) conversational AI system for querying information about Simba (a cat). It ingests documents from Paperless-NGX, stores embeddings in ChromaDB, and uses LLMs (Ollama or OpenAI) to answer questions.
SimbaRAG is a RAG (Retrieval-Augmented Generation) conversational AI system for querying information about Simba (a cat) and the household. It ingests documents from Paperless-NGX, Obsidian, and Immich, stores embeddings in PostgreSQL via pgvector (Chroma client), uses LLMs (Ollama or OpenAI) to answer questions with a tool-using LangChain agent, and exposes chat over web, iMessage, and WhatsApp.
## Commands
### Development
```bash
# Start environment
docker compose up --build
# Start environment (raggr runs as raggr-blue/raggr-green behind compose profiles)
docker compose --profile blue up --build
# View logs
docker compose logs -f raggr
# View logs (Makefile resolves the active color)
make logs
# Reindex vector store (all sources / Obsidian only)
make reindex
make reindex-obsidian
```
### Database Migrations (Aerich/Tortoise ORM)
```bash
# Generate migration (must run in Docker with DB access)
docker compose exec raggr aerich migrate --name describe_change
make migrate-new
# Apply migrations (auto-runs on startup, manual if needed)
docker compose exec raggr aerich upgrade
make migrate
# View migration history
docker compose exec raggr aerich history
make migrate-history
```
Migrations must be backward-compatible: blue-green deploys run `aerich upgrade` in the new container while the old code still serves.
### Frontend
```bash
@@ -42,9 +48,10 @@ yarn dev # Dev server (rarely needed, backend serves frontend)
### Production
Zero-downtime blue-green deploy: `raggr-blue` (port 8080) and `raggr-green` (port 8081) alternate behind Caddy health checks. See `docs/deployment.md`.
```bash
docker compose build raggr
docker compose up -d
make redeploy # git pull + scripts/deploy.sh (build new color, wait healthy, stop old)
```
## Architecture
@@ -53,10 +60,11 @@ docker compose up -d
┌─────────────────────────────────────────────────────────────┐
│ Docker Compose │
├─────────────────────────────────────────────────────────────┤
│ raggr (port 8080) │ postgres (port 5432) │
│ ├── Quart backend │ PostgreSQL 16 │
│ raggr-blue/green (8080/8081) │ postgres (port 5432) │
│ ├── Quart backend │ PostgreSQL 16 + pgvector│
│ ├── React frontend (served) │ │
│ └── ChromaDB (volume) │ │
│ └── Twilio webhooks (iMessage/ │ │
│ WhatsApp) │ │
└─────────────────────────────────────────────────────────────┘
```
@@ -64,33 +72,53 @@ docker compose up -d
- `app.py` - Quart application entry, serves API and static frontend
- `main.py` - RAG logic, document indexing, LLM interaction, LangChain agent
- `llm.py` - LLM client with Ollama primary, OpenAI fallback
- `aerich_config.py` - Database migration configuration
- `blueprints/` - API routes organized as Quart blueprints
- `users/` - OIDC auth, JWT tokens, RBAC with LDAP groups
- `conversation/` - Chat conversations and message history
- `rag/` - Document indexing endpoints (admin-only)
- `conversation/` - Chat conversations, message history, streamed answers
- `rag/` - Document indexing endpoints (admin-only); logic in `rag/logic.py`
- `email/` - Email integration (Mailgun webhooks, Fernet encryption, IMAP, parsing)
- `imessage/` - Twilio webhook receiver for iMessage (HMAC-validated, number allowlist)
- `whatsapp/` - Twilio webhook receiver for WhatsApp (TWIML replies, SendBlue send support)
- `scheduled_messages/` - Scheduled message delivery with background scheduler
- `ynab/` - Postgres mirror of the YNAB budget (`ynab_*` tables), delta-synced via `server_knowledge` (background loop + on-demand before each tool call, full resync daily that also marks rows missing from the download as deleted); `ynab_changes` is the edit history YNAB itself doesn't keep. Agent tools in `tools.py`; admin-only read-only `ynab_sql` in `sql_tool.py`. Manual sync: `make ynab-sync` / `make ynab-resync`
- `config/` - Configuration modules
- `db.py` - Database setup
- `oidc_config.py` - OIDC authentication configuration
- `utils/` - Reusable utilities
- `utils/` - Reusable utilities and household integrations
- `chunker.py` - Document chunking for embeddings
- `cleaner.py` - PDF cleaning and summarization
- `image_process.py` - Image description with LLM
- `request.py` - Paperless-NGX API client
- `obsidian_service.py`, `mealie_service.py`, `ynab_service.py`, `s3_client.py`, `simbakit_service.py` - integrations with Obsidian notes, Mealie recipes, YNAB budgets (API client for the `blueprints/ynab/` mirror), S3, and SimbaKit
- `homebox_mcp.py` - Homebox inventory tools via the `homebox-mcp` stdio MCP server; admin-only (compiled into `app.admin_agent`, picked per user by `get_agent_for`)
- `bookstack_mcp.py` - BookStack wiki tools (read/create/update, no deletes) via the `bookstack-mcp` npm stdio server; admin-only like Homebox
- `mcp_tools.py` - shared allowlist + admin-gate wrapping for stdio MCP integrations
- `scripts/` - Administrative and utility scripts
- `add_user.py` - Create users manually
- `user_message_stats.py` - User message statistics
- `manage_vectorstore.py` - Vector store management CLI
- `inspect_vector_store.py` - Inspect ChromaDB contents
- `query.py` - Query generation utilities
- `manage_vectorstore.py` / `inspect_vector_store.py` - Vector store CLI
- `index_immich.py` - Index Immich photos into the vector store
- `link_imessage.py` - Link iMessage contacts to users
- `deploy.sh` - Blue-green deployment script
- `migrations/` - Database migration files
- `tests/` - pytest test suite (`tests/unit/` covers email/crypto, YNAB mirror, Obsidian, SimbaKit, rate limiting, user model)
**simbakit/** (standalone subproject):
- Self-hosted PetKit device poller + web dashboard for Simba's smart devices (feeder, litter box, fountain, purifier)
- Own `pyproject.toml`, `uv.lock`, and Dockerfile; Python 3.14 + uv
- Polls PetKit cloud API every 2 min into SQLite; Chart.js dashboard; docs in `simbakit/docs/`
- Queried from the main app via `utils/simbakit_service.py`
**Frontend** (`raggr-frontend/`):
- React 19 with Rsbuild bundler
- Tailwind CSS for styling
- Built to `dist/`, served by backend at `/`
- Key components: `ChatScreen`, `ConversationsPage`, `LoginScreen`, `AdminPanel`, `ScheduledMessagesPanel`, `ToolBubble` (agent tool-call display)
**Auth Flow**: LLDAP → Authelia (OIDC) → Backend JWT → Frontend localStorage
**Data Sources**: Paperless-NGX documents, Obsidian vault, Immich photos (indexed via `scripts/index_immich.py` / `make reindex`)
## Testing
Always run `make test` before pushing code to ensure all tests pass.
@@ -100,12 +128,23 @@ make test # Run tests
make test-cov # Run tests with coverage
```
Note: `make test` may fail locally (no pytest on PATH); use `.venv/bin/pytest tests/ -q` instead.
## Git Workflow
- The host runs **Gitea** (`git.torrtle.co`), not GitHub, despite the remote name. Use the **`tea` CLI** for PRs (Gitea flavor: `tea pr create`, `tea pr list`, etc. — no `tea create`).
- Typical flow: commit locally, `git push -u origin <branch>`, then `tea pr create -t "title" -d "body"`.
- "kermit" is the user's slang for **commit** (e.g. "kermit and push" = commit and push). There is no kermit tool.
- Keep one logical change per branch/PR; don't ride along on stale feature branches.
- Don't commit `.DS_Store`, `chroma_db/`, `chromadb/`, `.planning/` (local artifacts).
## Key Patterns
- All endpoints are async (`async def`)
- Use `@jwt_refresh_token_required` for authenticated endpoints
- Use `@admin_required` for admin-only endpoints (checks `lldap_admin` group)
- Tortoise ORM models in `blueprints/*/models.py`
- External integrations are service classes in `utils/*_service.py`
- Frontend API services in `raggr-frontend/src/api/`
## Environment Variables
@@ -113,6 +152,15 @@ make test-cov # Run tests with coverage
See `.env.example`. Key ones:
- `DATABASE_URL` - PostgreSQL connection
- `OIDC_*` - Authelia OIDC configuration
- `OLLAMA_URL` - Local LLM server
- `OPENAI_API_KEY` - Fallback LLM
- `LLAMA_SERVER_URL` / `LLAMA_MODEL_NAME` - Local Llama/Ollama LLM server
- `EMBEDDING_SERVER_URL` / `EMBEDDING_MODEL_NAME` - Embedding model
- `OPENAI_API_KEY` - Fallback LLM; `TAVILY_API_KEY` - web search tool
- `PAPERLESS_TOKEN` / `BASE_URL` - Document source
- `TWILIO_*`, `ALLOWED_IMESSAGE_NUMBERS`, `ALLOWED_WHATSAPP_NUMBERS` - iMessage/WhatsApp webhooks
- `MAILGUN_*`, `EMAIL_HMAC_SECRET`, `FERNET_KEY` - email integration
- `SENDBLUE_*` - SMS sending for scheduled messages
- `YNAB_*`, `MEALIE_*`, `OBSIDIAN_*`, `IMMICH_*`, `SIMBAKIT_URL`, `HOMEBOX_URL`/`HOMEBOX_TOKEN`, `BOOKSTACK_BASE_URL`/`BOOKSTACK_TOKEN_ID`/`BOOKSTACK_TOKEN_SECRET` - household integrations
## Documentation
Project docs live in `docs/` (mkdocs): `deployment.md`, `development.md`, `authentication.md`, `MIGRATIONS.md`, `VECTORSTORE.md`, `TASKS.md`, `ynab_integration/`.
+9 -4
View File
@@ -8,13 +8,19 @@ RUN apt-get update && apt-get install -y \
curl \
&& curl -fsSL https://deb.nodesource.com/setup_22.x | bash - \
&& apt-get install -y nodejs \
&& npm install -g yarn obsidian-headless \
&& npm install -g yarn obsidian-headless @googleworkspace/cli \
&& rm -rf /var/lib/apt/lists/* \
&& curl -LsSf https://astral.sh/uv/install.sh | sh
# Add uv to PATH
ENV PATH="/root/.local/bin:$PATH"
# Homebox MCP server (stdio), pinned so the tool surface can't drift
RUN uv tool install homebox-mcp==1.1.0
# BookStack MCP server (stdio), pinned for the same reason
RUN npm install -g bookstack-mcp@5.6.0
# Copy dependency files
COPY pyproject.toml ./
@@ -37,15 +43,14 @@ WORKDIR /app/raggr-frontend
RUN yarn install && yarn build
WORKDIR /app
# Create ChromaDB and database directories
RUN mkdir -p /app/chromadb /app/database
# Create database directory
RUN mkdir -p /app/database
# Expose port
EXPOSE 8080
# Set environment variables
ENV PYTHONPATH=/app
ENV CHROMADB_PATH=/app/chromadb
# Run the startup script
CMD ["./startup.sh"]
+2 -3
View File
@@ -34,16 +34,15 @@ COPY . .
WORKDIR /app/raggr-frontend
RUN yarn build
# Create ChromaDB and database directories
# Create database directory
WORKDIR /app
RUN mkdir -p /app/chromadb /app/database
RUN mkdir -p /app/database
# Make startup script executable
RUN chmod +x /app/startup-dev.sh
# Set environment variables
ENV PYTHONPATH=/app
ENV CHROMADB_PATH=/app/chromadb
ENV PYTHONUNBUFFERED=1
# Expose port
+59 -10
View File
@@ -1,33 +1,71 @@
.PHONY: deploy build up down restart logs migrate migrate-new frontend test
.PHONY: deploy redeploy build up down restart logs migrate migrate-new migrate-history frontend desktop desktop-dev test test-cov reindex reindex-obsidian ynab-sync ynab-resync
# Blue-green: detect the running color (default blue when nothing is running)
ACTIVE_COLOR := $(shell docker compose ps --status running --services 2>/dev/null | grep -oE 'raggr-(blue|green)' | head -1 | cut -d- -f2)
ifeq ($(ACTIVE_COLOR),)
ACTIVE_COLOR := blue
endif
RAGGR := raggr-$(ACTIVE_COLOR)
# Both profiles enabled for commands that only touch existing containers
# (never use this with `up`, which would start both colors)
COMPOSE := docker compose --profile blue --profile green
# Build and deploy
deploy: build up
# Zero-downtime blue-green swap (see scripts/deploy.sh)
redeploy:
git pull && ./scripts/deploy.sh
build:
docker compose build raggr
docker compose --profile $(ACTIVE_COLOR) build $(RAGGR)
up:
docker compose up -d
docker compose --profile $(ACTIVE_COLOR) up -d
down:
docker compose down
$(COMPOSE) down
restart:
docker compose restart raggr
$(COMPOSE) restart $(RAGGR)
logs:
docker compose logs -f raggr
$(COMPOSE) logs -f $(RAGGR)
# Vector store reindexing
reindex:
$(COMPOSE) exec $(RAGGR) python -c "\
import asyncio; \
from blueprints.rag.logic import delete_all_documents, index_documents, index_obsidian_documents; \
delete_all_documents(); \
asyncio.run(index_documents()); \
asyncio.run(index_obsidian_documents()); \
print('Reindex complete')"
reindex-obsidian:
$(COMPOSE) exec $(RAGGR) python -c "\
import asyncio; \
from blueprints.rag.logic import delete_documents_by_metadata, index_obsidian_documents; \
delete_documents_by_metadata('source', 'obsidian'); \
asyncio.run(index_obsidian_documents()); \
print('Obsidian reindex complete')"
# YNAB mirror: delta sync, or full re-download
ynab-sync:
$(COMPOSE) exec $(RAGGR) python -m blueprints.ynab
ynab-resync:
$(COMPOSE) exec $(RAGGR) python -m blueprints.ynab --full
# Database migrations
migrate:
docker compose exec raggr aerich upgrade
$(COMPOSE) exec $(RAGGR) aerich upgrade
migrate-new:
@read -p "Migration name: " name; \
docker compose exec raggr aerich migrate --name $$name
@./scripts/migrate-new.sh
migrate-history:
docker compose exec raggr aerich history
$(COMPOSE) exec $(RAGGR) aerich history
# Tests
test:
@@ -39,3 +77,14 @@ test-cov:
# Frontend
frontend:
cd raggr-frontend && yarn install && yarn build
# Desktop app (Tauri). Point it at the server with SIMBA_URL, e.g.
# make desktop-dev SIMBA_URL=https://simba.example.com
# SIMBA_URL is read at runtime and baked in at build time as the default.
desktop-dev:
cd desktop && npm install && SIMBA_URL=$(SIMBA_URL) npx tauri dev
desktop:
cd desktop && npm install && SIMBA_URL=$(SIMBA_URL) npx tauri build --bundles app
rm -rf /Applications/Simba.app
cp -R desktop/src-tauri/target/release/bundle/macos/Simba.app /Applications/
+2 -2
View File
@@ -127,8 +127,8 @@ cp .env.example .env
# Development (local PostgreSQL only)
docker compose -f docker-compose.dev.yml up -d
# Or full Docker deployment
docker compose up -d
# Or full Docker deployment (app runs as raggr-blue; see docs/deployment.md)
docker compose --profile blue up -d
```
4. **Access the application**
+79
View File
@@ -0,0 +1,79 @@
# Streaming Implementation Summary
## Overview
The `/stream-query` endpoint uses Server-Sent Events (SSE) to give real-time feedback
during AI query processing: tool-execution status **and** token-by-token streaming of the
assistant's answer.
## Backend (`blueprints/conversation/__init__.py`)
### `POST /api/conversation/stream-query`
Streams SSE frames (`data: {json}\n\n`) by iterating `main_agent.astream_events(..., version="v2")`.
Event types emitted to the client:
- `tool_start` — a tool began (`{ "type": "tool_start", "tool": <name> }`), from `on_tool_start`.
- `tool_end` — a tool finished, from `on_tool_end`.
- `content` — an incremental answer chunk (`{ "type": "content", "delta": <text> }`), from
`on_chat_model_stream`. Chunks are accumulated server-side into `streamed`.
- `response` — the final, authoritative message (`{ "type": "response", "message": <full text> }`).
Sourced from `on_chain_end` (falling back to the accumulated `streamed` tokens). This is the
text that is persisted to the DB via `add_message_to_conversation(..., speaker="simba")`.
- `error` — an error message.
- The stream terminates with `data: [DONE]`.
The user's message is persisted before streaming begins; the assistant message is persisted once
the stream completes.
### `POST /api/conversation/query` (legacy, non-streaming)
Backwards-compatible endpoint that returns the complete response in one JSON payload
(`{ "response": <text> }`). Kept for compatibility; the frontend uses `/stream-query`.
## Frontend
### API service (`src/api/conversationService.ts`)
- `streamQuery(query, conversation_id, onEvent, signal?, imageKey?)` — POSTs to `/stream-query`
and drives the response through `_readSSEStream()`.
- `_readSSEStream()` — reads the `ReadableStream`, splits on `\n\n`, parses `data:` frames into
`SSEEvent` objects, and stops on `[DONE]`.
- `SSEEvent` union: `tool_start | tool_end | content | response | error`.
### Chat state (`src/hooks/useChat.ts`)
`sendMessage()` consumes the stream and maintains a unified `messages` array:
- `tool_start` → appends a `tool` bubble (mapped to a friendly label via `TOOL_MESSAGES`) and
resets the streaming pointer so any text after a tool call starts a fresh bubble.
- `content` → on the first delta, appends a new `simba` bubble and flips `streamingActiveRef` /
`streaming`; subsequent deltas append to that bubble's text.
- `response` → overwrites the live `simba` bubble with the authoritative message (guaranteeing
parity with what was persisted), or appends it if nothing streamed (e.g. an instant answer).
- `error` → surfaces a user-facing error.
A `streaming` boolean is exposed so the UI can hide the redundant loading indicator once tokens
start arriving.
### Components
- `ChatScreen.tsx` — renders `messages` (`ToolBubble` / `AnswerBubble` / `QuestionBubble`) and
shows the standalone loading-dots `AnswerBubble` only before the first token
(`(isLoading && !streaming) || messagesLoading`).
- `AnswerBubble.tsx` — renders the assistant message as markdown, or animated loading dots when
`loading` is set.
- `ToolBubble.tsx` — renders tool-status messages as inline badges.
## User Experience
1. User sends a message.
2. Loading dots appear.
3. Tool status bubbles appear as tools run (e.g. "Searching Simba's records...").
4. The answer streams in word-by-word into a single assistant bubble.
5. On completion the bubble is reconciled with the persisted final text.
## Testing
```bash
# Backend
make test # or: .venv/bin/python -m pytest tests/
# Frontend
cd raggr-frontend && yarn build
# Full stack (manual)
docker compose up --build
```
+145 -47
View File
@@ -1,20 +1,41 @@
import asyncio
import hmac
import logging
import os
from datetime import timedelta
from dotenv import load_dotenv
from quart import Quart, jsonify, render_template, request, send_from_directory
from quart_jwt_extended import JWTManager, get_jwt_identity, jwt_refresh_token_required
from quart import (
Quart,
Response,
jsonify,
render_template,
request,
send_from_directory,
)
from quart_jwt_extended import JWTManager, get_jwt_identity
from tortoise import Tortoise
import blueprints.artifacts
import blueprints.conversation
import blueprints.conversation.logic
import blueprints.email
import blueprints.rag
import blueprints.users
import blueprints.whatsapp
import blueprints.imessage
import blueprints.scheduled_messages
import blueprints.cron
import blueprints.beli
import blueprints.users.models
from blueprints.users.decorators import jwt_access_required
from config.db import TORTOISE_CONFIG
from main import consult_simba_oracle
from metrics import render_metrics
from blueprints.conversation.agents import build_agent
from blueprints.ynab.sql_tool import ynab_sql
from blueprints.ynab.sync import ynab_configured, ynab_sync_loop
from utils.bookstack_mcp import load_bookstack_tools
from utils.homebox_mcp import load_homebox_tools
# Load environment variables
load_dotenv()
@@ -27,7 +48,7 @@ logging.basicConfig(
)
# Ensure YNAB and Mealie loggers are visible
logging.getLogger("utils.ynab_service").setLevel(logging.INFO)
logging.getLogger("blueprints.ynab.sync").setLevel(logging.INFO)
logging.getLogger("utils.mealie_service").setLevel(logging.INFO)
logging.getLogger("blueprints.conversation.agents").setLevel(logging.INFO)
@@ -38,6 +59,8 @@ app = Quart(
)
app.config["JWT_SECRET_KEY"] = os.getenv("JWT_SECRET_KEY", "SECRET_KEY")
app.config["JWT_ACCESS_TOKEN_EXPIRES"] = timedelta(hours=1)
app.config["JWT_REFRESH_TOKEN_EXPIRES"] = timedelta(days=30)
app.config["MAX_CONTENT_LENGTH"] = 10 * 1024 * 1024 # 10 MB upload limit
jwt = JWTManager(app)
@@ -47,6 +70,32 @@ app.register_blueprint(blueprints.conversation.conversation_blueprint)
app.register_blueprint(blueprints.email.email_blueprint)
app.register_blueprint(blueprints.rag.rag_blueprint)
app.register_blueprint(blueprints.whatsapp.whatsapp_blueprint)
app.register_blueprint(blueprints.imessage.imessage_blueprint)
app.register_blueprint(blueprints.scheduled_messages.scheduled_messages_blueprint)
app.register_blueprint(blueprints.cron.cron_blueprint)
app.register_blueprint(blueprints.beli.beli_blueprint)
app.register_blueprint(blueprints.artifacts.artifacts_blueprint)
async def _obsidian_sync_loop():
"""Background task that incrementally syncs Obsidian documents to pgvector."""
from blueprints.rag.logic import sync_obsidian_documents
interval = int(os.getenv("OBSIDIAN_SYNC_INTERVAL", "60"))
logger = logging.getLogger("obsidian_sync")
logger.info(f"Obsidian sync watcher started (interval={interval}s)")
while True:
try:
result = await sync_obsidian_documents()
if result["added"] or result["updated"] or result["deleted"]:
logger.info(
f"Obsidian sync: {result['added']} added, "
f"{result['updated']} updated, {result['deleted']} deleted"
)
except Exception:
logger.exception("Obsidian sync error")
await asyncio.sleep(interval)
# Initialize Tortoise ORM with lifecycle hooks
@@ -55,7 +104,38 @@ async def lifespan():
logging.info("Initializing Tortoise ORM...")
await Tortoise.init(config=TORTOISE_CONFIG)
logging.info("Tortoise ORM initialized successfully")
yield
import aiosqlite
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
checkpoint_path = os.getenv("CHECKPOINT_DB_PATH", "/app/checkpoints/checkpoints.db")
async with aiosqlite.connect(checkpoint_path) as conn:
checkpointer = AsyncSqliteSaver(conn)
await checkpointer.setup()
app.main_agent = build_agent(checkpointer)
admin_tools = await load_homebox_tools() + await load_bookstack_tools()
if ynab_configured():
admin_tools.append(ynab_sql)
app.admin_agent = (
build_agent(checkpointer, admin_tools) if admin_tools else app.main_agent
)
logging.info(f"Agent checkpointer ready at {checkpoint_path}")
from utils.cronicle import ensure_beli_nightly_event
await ensure_beli_nightly_event()
background_tasks = []
if os.getenv("OBSIDIAN_CONTINUOUS_SYNC") == "true":
background_tasks.append(asyncio.create_task(_obsidian_sync_loop()))
if ynab_configured():
background_tasks.append(asyncio.create_task(ynab_sync_loop()))
yield
for task in background_tasks:
task.cancel()
logging.info("Closing Tortoise ORM connections...")
await Tortoise.close_connections()
@@ -66,50 +146,75 @@ async def static_files(filename):
return await send_from_directory(app.static_folder, filename)
# Allowed file extensions for static frontend assets
ALLOWED_STATIC_EXTENSIONS = {
".html",
".css",
".js",
".svg",
".png",
".ico",
".jpg",
".jpeg",
".webp",
".woff",
".woff2",
".ttf",
".txt",
}
# JSON files explicitly allowed to be served (e.g. PWA manifest)
ALLOWED_JSON_FILES = {"manifest.json"}
# Prometheus metrics endpoint. Fail-closed: 403 unless a valid bearer token
# matching METRICS_TOKEN is presented. Registered before the catch-all SPA
# route so it is never shadowed.
@app.get("/metrics")
async def metrics_endpoint():
expected = os.environ.get("METRICS_TOKEN", "")
if not expected:
return "unauthorized", 403
auth = request.headers.get("Authorization", "")
if not auth.startswith("Bearer "):
return "unauthorized", 403
provided = auth[len("Bearer ") :].strip()
if not hmac.compare_digest(provided.encode(), expected.encode()):
return "unauthorized", 403
return Response(
render_metrics(),
status=200,
content_type="text/plain; version=0.0.4",
)
# Serve the React app for all routes (catch-all)
@app.route("/", defaults={"path": ""})
@app.route("/<path:path>")
async def serve_react_app(path):
if path and os.path.exists(os.path.join(app.template_folder, path)):
return await send_from_directory(app.template_folder, path)
if path:
ext = os.path.splitext(path)[1].lower()
basename = os.path.basename(path)
allowed = ext in ALLOWED_STATIC_EXTENSIONS or (
ext == ".json" and basename in ALLOWED_JSON_FILES
)
if allowed and os.path.exists(os.path.join(app.template_folder, path)):
return await send_from_directory(app.template_folder, path)
return await render_template("index.html")
@app.route("/api/query", methods=["POST"])
@jwt_refresh_token_required
async def query():
current_user_uuid = get_jwt_identity()
user = await blueprints.users.models.User.get(id=current_user_uuid)
data = await request.get_json()
query = data.get("query")
conversation_id = data.get("conversation_id")
conversation = await blueprints.conversation.logic.get_conversation_by_id(
conversation_id
)
await conversation.fetch_related("messages")
await blueprints.conversation.logic.add_message_to_conversation(
conversation=conversation,
message=query,
speaker="user",
user=user,
)
transcript = await blueprints.conversation.logic.get_conversation_transcript(
user=user, conversation=conversation
)
response = consult_simba_oracle(input=query, transcript=transcript)
await blueprints.conversation.logic.add_message_to_conversation(
conversation=conversation,
message=response,
speaker="simba",
user=user,
)
return jsonify({"response": response})
# Health check used by the Docker healthcheck and Caddy's active health checks
@app.route("/api/health", methods=["GET"])
async def health():
try:
await Tortoise.get_connection("default").execute_query("SELECT 1")
except Exception:
return jsonify({"status": "unhealthy"}), 503
return jsonify({"status": "ok"})
@app.route("/api/messages", methods=["GET"])
@jwt_refresh_token_required
@jwt_access_required
async def get_messages():
current_user_uuid = get_jwt_identity()
user = await blueprints.users.models.User.get(id=current_user_uuid)
@@ -132,17 +237,10 @@ async def get_messages():
}
)
name = conversation.name
if len(messages) > 8:
name = await blueprints.conversation.logic.rename_conversation(
user=user,
conversation=conversation,
)
return jsonify(
{
"id": str(conversation.id),
"name": name,
"name": conversation.name,
"messages": messages,
"created_at": conversation.created_at.isoformat(),
"updated_at": conversation.updated_at.isoformat(),
+56
View File
@@ -0,0 +1,56 @@
import uuid
from quart import Blueprint, jsonify, request
from quart_jwt_extended import get_jwt_identity
from blueprints.conversation.models import Conversation
from blueprints.users.decorators import jwt_access_required
from .logic import artifact_full, artifact_summary
from .models import Artifact
artifacts_blueprint = Blueprint("artifacts_api", __name__, url_prefix="/api/artifacts")
def _parse_uuid(value: str) -> uuid.UUID | None:
"""Validate ids before querying: asyncpg raises OperationalError on bad UUIDs."""
try:
return uuid.UUID(value)
except (ValueError, AttributeError, TypeError):
return None
@artifacts_blueprint.get("")
@jwt_access_required
async def list_artifacts():
user_uuid = get_jwt_identity()
raw_conversation_id = request.args.get("conversation_id", "").strip()
if not raw_conversation_id:
return jsonify({"error": "conversation_id is required"}), 400
conversation_id = _parse_uuid(raw_conversation_id)
if conversation_id is None:
return jsonify({"error": "conversation_id must be a UUID"}), 400
conversation = await Conversation.get_or_none(id=conversation_id, user_id=user_uuid)
if conversation is None:
return jsonify({"error": "conversation not found"}), 404
artifacts = await Artifact.filter(
conversation_id=conversation.id, user_id=user_uuid
).order_by("created_at")
return jsonify([artifact_summary(a) for a in artifacts])
@artifacts_blueprint.get("/<artifact_id>")
@jwt_access_required
async def get_artifact(artifact_id: str):
user_uuid = get_jwt_identity()
parsed_id = _parse_uuid(artifact_id)
artifact = (
await Artifact.get_or_none(id=parsed_id, user_id=user_uuid)
if parsed_id is not None
else None
)
if artifact is None:
return jsonify({"error": "artifact not found"}), 404
return jsonify(artifact_full(artifact))
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import json
import logging
from .models import Artifact
logger = logging.getLogger(__name__)
# Artifacts whose serialised `data` exceeds this are dropped (the tool text still persists).
ARTIFACT_MAX_BYTES = 256 * 1024
def artifact_ref(artifact: Artifact) -> dict:
"""The lightweight reference sent in SSE events and the conversation payload."""
return {"id": str(artifact.id), "kind": artifact.kind, "title": artifact.title}
def artifact_summary(artifact: Artifact) -> dict:
"""ArtifactRef plus listing metadata, without `data`."""
return {
**artifact_ref(artifact),
"tool": artifact.tool,
"message_id": str(artifact.message_id) if artifact.message_id else None,
"created_at": artifact.created_at.isoformat(),
}
def artifact_full(artifact: Artifact) -> dict:
return {
**artifact_summary(artifact),
"data": artifact.data,
"source_ref": artifact.source_ref,
"conversation_id": str(artifact.conversation_id),
}
async def create_artifact_from_output(
*, output, tool: str, user, conversation, message=None
) -> Artifact | None:
"""Persist `output.artifact` if it is a ToolArtifact dict; otherwise return None.
Tools opt in via `@tool(response_format="content_and_artifact")`. Artifacts
without a `kind` (e.g. simba_search's raw Documents) are ignored, as are
ones whose `data` is not JSON-serialisable or over ARTIFACT_MAX_BYTES.
"""
raw = getattr(output, "artifact", None)
if not isinstance(raw, dict) or not raw.get("kind"):
return None
data = raw.get("data") or {}
source_ref = raw.get("source_ref")
try:
size = len(json.dumps(data).encode("utf-8"))
json.dumps(source_ref)
except (TypeError, ValueError) as e:
logger.warning(
"Dropping %s artifact from %s: not serialisable (%s)", raw["kind"], tool, e
)
return None
if size > ARTIFACT_MAX_BYTES:
logger.warning(
"Dropping %s artifact from %s: %d bytes exceeds %d",
raw["kind"],
tool,
size,
ARTIFACT_MAX_BYTES,
)
return None
return await Artifact.create(
user=user,
conversation=conversation,
message=message,
tool=tool,
kind=str(raw["kind"])[:64],
title=str(raw.get("title") or "")[:255],
data=data,
source_ref=source_ref,
)
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from tortoise import fields
from tortoise.models import Model
class Artifact(Model):
"""A structured tool result (recipe, budget, note…) rendered in the artifact panel."""
id = fields.UUIDField(primary_key=True)
user = fields.ForeignKeyField("models.User", related_name="artifacts")
conversation = fields.ForeignKeyField(
"models.Conversation", related_name="artifacts", on_delete=fields.CASCADE
)
message = fields.ForeignKeyField(
"models.ConversationMessage",
related_name="artifacts",
null=True,
on_delete=fields.SET_NULL,
)
tool = fields.CharField(max_length=255)
kind = fields.CharField(max_length=64)
title = fields.CharField(max_length=255)
data = fields.JSONField()
source_ref = fields.JSONField(null=True)
version = fields.IntField(default=1)
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
class Meta:
table = "artifacts"
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import hmac
import logging
import os
from quart import Blueprint, jsonify, request
from quart_jwt_extended import get_jwt_identity
from blueprints.users.decorators import jwt_access_required
from .logic import (
MAX_PROFILES_PER_USER,
_get_access_token,
_refresh_friend_sample,
refresh_profile,
schedule_nightly_refresh,
)
from .models import BeliProfile, BeliRestaurant, BeliStatus
beli_blueprint = Blueprint("beli", __name__, url_prefix="/api/beli")
logger = logging.getLogger(__name__)
def _check_cron_secret() -> bool:
expected = os.environ.get("CRON_SECRET", "")
if not expected:
return False
provided = request.headers.get("X-Cron-Secret", "")
return hmac.compare_digest(provided.encode(), expected.encode())
def _serialize_profile(profile: BeliProfile) -> dict:
return {
"id": str(profile.id),
"beli_email": profile.beli_email,
"beli_user_id": profile.beli_user_id,
"enabled": profile.enabled,
"last_refreshed_at": (
profile.last_refreshed_at.isoformat() if profile.last_refreshed_at else None
),
"last_error": profile.last_error,
"created_at": profile.created_at.isoformat(),
}
def _serialize_restaurant(r: BeliRestaurant) -> dict:
return {
"id": str(r.id),
"profile_id": str(r.profile_id),
"beli_business_id": r.beli_business_id,
"name": r.name,
"city": r.city,
"neighborhood": r.neighborhood,
"cuisine": r.cuisine,
"price_range": r.price_range,
"status": r.status.value,
"rank_index": r.rank_index,
"score": float(r.score) if r.score is not None else None,
"notes": r.notes,
"tags": r.tags,
"fetched_at": r.fetched_at.isoformat(),
}
@beli_blueprint.route("/profiles", methods=["GET"])
@jwt_access_required
async def list_profiles():
user_id = get_jwt_identity()
profiles = await BeliProfile.filter(user_id=user_id).order_by("created_at").all()
return jsonify([_serialize_profile(p) for p in profiles])
@beli_blueprint.route("/profiles", methods=["POST"])
@jwt_access_required
async def create_profile():
user_id = get_jwt_identity()
count = await BeliProfile.filter(user_id=user_id).count()
if count >= MAX_PROFILES_PER_USER:
return (
jsonify(
{"error": f"Maximum {MAX_PROFILES_PER_USER} Beli profiles per user"}
),
400,
)
data = await request.get_json()
if not data:
return jsonify({"error": "Invalid payload"}), 400
email = (data.get("beli_email") or "").strip()
password = (data.get("beli_password") or "").strip()
if not email or not password:
return jsonify({"error": "beli_email and beli_password are required"}), 400
if await BeliProfile.exists(user_id=user_id, beli_email=email):
return jsonify({"error": "A profile with this email already exists"}), 409
from utils.beli_service import authenticate
try:
session = await authenticate(email, password)
except Exception as e:
return jsonify({"error": f"Beli authentication failed: {e}"}), 400
profile = await BeliProfile.create(
user_id=user_id,
beli_email=email,
beli_password=password,
beli_user_id=session["user_id"],
beli_refresh_token=session["refresh_token"],
enabled=True,
)
return jsonify(_serialize_profile(profile)), 201
@beli_blueprint.route("/profiles/<profile_id>", methods=["DELETE"])
@jwt_access_required
async def delete_profile(profile_id: str):
user_id = get_jwt_identity()
profile = await BeliProfile.get_or_none(id=profile_id, user_id=user_id)
if not profile:
return jsonify({"error": "Not found"}), 404
await BeliRestaurant.filter(profile=profile).delete()
await profile.delete()
return jsonify({"status": "deleted"})
@beli_blueprint.route("/profiles/<profile_id>/refresh", methods=["POST"])
@jwt_access_required
async def refresh_profile_endpoint(profile_id: str):
user_id = get_jwt_identity()
profile = await BeliProfile.get_or_none(id=profile_id, user_id=user_id)
if not profile:
return jsonify({"error": "Not found"}), 404
result = await refresh_profile(str(profile.id))
return jsonify(result)
@beli_blueprint.route("/restaurants", methods=["GET"])
@jwt_access_required
async def list_restaurants():
user_id = get_jwt_identity()
profile_ids = [
p.id for p in await BeliProfile.filter(user_id=user_id).only("id").all()
]
qs = BeliRestaurant.filter(profile_id__in=profile_ids)
status_filter = request.args.get("status")
city_filter = request.args.get("city")
if status_filter:
try:
qs = qs.filter(status=BeliStatus(status_filter))
except ValueError:
return jsonify({"error": f"Invalid status: {status_filter}"}), 400
if city_filter:
qs = qs.filter(city__icontains=city_filter)
restaurants = await qs.order_by("rank_index", "name").all()
return jsonify([_serialize_restaurant(r) for r in restaurants])
@beli_blueprint.route("/profiles/<profile_id>/refresh-friends", methods=["POST"])
@jwt_access_required
async def refresh_friends_endpoint(profile_id: str):
user_id = get_jwt_identity()
profile = await BeliProfile.get_or_none(id=profile_id, user_id=user_id)
if not profile:
return jsonify({"error": "Not found"}), 404
try:
access_token = await _get_access_token(profile)
upserted = await _refresh_friend_sample(profile, access_token)
return jsonify({"ok": True, "upserted": upserted})
except Exception as e:
return jsonify({"error": str(e)}), 500
@beli_blueprint.route("/cron/refresh", methods=["POST"])
async def cron_nightly_refresh():
if not _check_cron_secret():
return jsonify({"error": "Unauthorized"}), 401
result = await schedule_nightly_refresh()
return jsonify(result)
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import asyncio
import logging
import random
from datetime import datetime, timezone
from utils.beli_service import (
RANKING_CATEGORIES,
REQUEST_SPACING,
authenticate,
extract_business,
fetch_bookmarks,
fetch_following,
fetch_user_rankings,
is_token_expired,
refresh_access_token,
)
from tortoise.functions import Max
from .models import BeliProfile, BeliRestaurant, BeliStatus
logger = logging.getLogger(__name__)
MAX_PROFILES_PER_USER = 3
NIGHTLY_BATCH_SIZE = 3
NIGHTLY_WINDOW_SECONDS = 4 * 3600 # spread refreshes across a 4-hour window
FRIEND_SAMPLE_SIZE = 5 # friends to randomly refresh per profile per night
async def _get_access_token(profile: BeliProfile) -> str:
"""Return a live access token, refreshing or re-authenticating as needed."""
if profile.beli_refresh_token and not is_token_expired(profile.beli_refresh_token):
try:
token = await refresh_access_token(profile.beli_refresh_token)
return token
except Exception:
logger.warning(
"Refresh token failed for profile %s, falling back to password",
profile.id,
)
session = await authenticate(profile.beli_email, profile.beli_password)
profile.beli_user_id = session["user_id"]
profile.beli_refresh_token = session["refresh_token"]
await profile.save()
return session["access_token"]
async def _refresh_friend_sample(profile: BeliProfile, access_token: str) -> int:
"""Fetch rankings for a random sample of followed users and upsert them."""
try:
following = await fetch_following(access_token, profile.beli_user_id)
except Exception as e:
logger.debug("Beli following fetch skipped for profile %s: %s", profile.id, e)
return 0
if not following:
return 0
# Pick the FRIEND_SAMPLE_SIZE stalest friends — never-fetched first, then oldest
fetched_rows = (
await BeliRestaurant.filter(profile=profile)
.exclude(friend_beli_user_id="")
.group_by("friend_beli_user_id")
.annotate(last_fetched=Max("fetched_at"))
.values("friend_beli_user_id", "last_fetched")
)
last_fetched: dict[str, datetime] = {
r["friend_beli_user_id"]: r["last_fetched"] for r in fetched_rows
}
_epoch = datetime.fromtimestamp(0, tz=timezone.utc)
sample = sorted(
following,
key=lambda f: last_fetched.get(str(f.get("id") or ""), _epoch),
)[:FRIEND_SAMPLE_SIZE]
upserted = 0
for friend in sample:
friend_id = str(friend.get("id") or "")
friend_name = friend.get("full_name") or friend.get("username") or friend_id
if not friend_id:
continue
for category in RANKING_CATEGORIES:
await asyncio.sleep(REQUEST_SPACING)
try:
results = await fetch_user_rankings(access_token, friend_id, category)
except Exception as e:
# 405 = private profile; log quietly and skip
logger.debug(
"Beli friend ranking skipped (%s/%s): %s", friend_id, category, e
)
continue
for idx, item in enumerate(results):
biz = extract_business(item, rank_index=idx + 1)
if not biz:
continue
await BeliRestaurant.update_or_create(
profile=profile,
beli_business_id=biz["beli_business_id"],
status=BeliStatus.BEEN,
friend_beli_user_id=friend_id,
beli_category=category,
defaults={
"friend_name": friend_name,
"name": biz["name"],
"city": biz["city"],
"neighborhood": biz["neighborhood"],
"cuisine": biz["cuisine"],
"price_range": biz["price_range"],
"rank_index": biz["rank_index"],
"score": biz["score"],
"notes": None,
"tags": biz["tags"],
},
)
upserted += 1
if upserted:
logger.info(
"Beli profile %s: %d friend restaurants upserted from %d friends",
profile.id,
upserted,
len(sample),
)
return upserted
async def refresh_profile(profile_id: str) -> dict:
"""Fetch the latest rankings and bookmarks for a profile and upsert them."""
profile = await BeliProfile.get_or_none(id=profile_id)
if not profile or not profile.enabled:
return {"skipped": True}
try:
access_token = await _get_access_token(profile)
upserted = 0
# Fetch all ranking categories (restaurants the user has been to and ranked)
for category in RANKING_CATEGORIES:
await asyncio.sleep(REQUEST_SPACING)
results = await fetch_user_rankings(
access_token, profile.beli_user_id, category
)
for idx, item in enumerate(results):
biz = extract_business(item, rank_index=idx + 1)
if not biz:
continue
await BeliRestaurant.update_or_create(
profile=profile,
beli_business_id=biz["beli_business_id"],
status=BeliStatus.BEEN,
friend_beli_user_id="",
beli_category=category,
defaults={
"name": biz["name"],
"city": biz["city"],
"neighborhood": biz["neighborhood"],
"cuisine": biz["cuisine"],
"price_range": biz["price_range"],
"rank_index": biz["rank_index"],
"score": biz["score"],
"notes": biz["notes"],
"tags": biz["tags"],
},
)
upserted += 1
# Fetch bookmarks (want-to-try list) — non-fatal if unavailable
await asyncio.sleep(REQUEST_SPACING)
try:
bookmarks = await fetch_bookmarks(access_token)
except Exception as e:
logger.warning(
"Beli bookmarks fetch failed for profile %s: %s", profile_id, e
)
bookmarks = []
for item in bookmarks:
biz = extract_business(item)
if not biz:
continue
await BeliRestaurant.update_or_create(
profile=profile,
beli_business_id=biz["beli_business_id"],
status=BeliStatus.WANT_TO_TRY,
friend_beli_user_id="",
beli_category="",
defaults={
"name": biz["name"],
"city": biz["city"],
"neighborhood": biz["neighborhood"],
"cuisine": biz["cuisine"],
"price_range": biz["price_range"],
"rank_index": None,
"score": None,
"notes": biz["notes"],
"tags": biz["tags"],
},
)
upserted += 1
profile.last_refreshed_at = datetime.now(timezone.utc)
profile.last_error = None
await profile.save()
logger.info(
"Beli profile %s refreshed: %d restaurants upserted", profile_id, upserted
)
return {"ok": True, "upserted": upserted}
except Exception as e:
profile.last_error = str(e)
await profile.save()
logger.error("Failed to refresh Beli profile %s: %s", profile_id, e)
return {"error": str(e)}
async def _refresh_after_delay(profile_id: str, delay: float) -> None:
await asyncio.sleep(delay)
profile = await BeliProfile.get_or_none(id=profile_id)
if not profile:
return
await refresh_profile(profile_id)
# Friend sampling only runs during nightly scheduled refreshes, not manual ones
try:
access_token = await _get_access_token(profile)
await _refresh_friend_sample(profile, access_token)
except Exception as e:
logger.warning("Friend sample failed for profile %s: %s", profile_id, e)
async def schedule_nightly_refresh() -> dict:
"""Pick the NIGHTLY_BATCH_SIZE stalest profiles and schedule them with random delays."""
profiles = (
await BeliProfile.filter(enabled=True)
.order_by("last_refreshed_at")
.limit(NIGHTLY_BATCH_SIZE)
.all()
)
if not profiles:
logger.info("No enabled Beli profiles to refresh")
return {"scheduled": 0}
for profile in profiles:
delay = random.uniform(0, NIGHTLY_WINDOW_SECONDS)
asyncio.create_task(_refresh_after_delay(str(profile.id), delay))
logger.info("Scheduled Beli refresh for profile %s in %.0fs", profile.id, delay)
return {"scheduled": len(profiles)}
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import enum
import uuid
from tortoise import fields
from tortoise.models import Model
from blueprints.email.crypto_service import EncryptedTextField
class BeliStatus(str, enum.Enum):
BEEN = "been"
WANT_TO_TRY = "want_to_try"
class BeliProfile(Model):
id = fields.UUIDField(primary_key=True, default=uuid.uuid4)
user = fields.ForeignKeyField("models.User", related_name="beli_profiles")
beli_email = fields.CharField(max_length=255)
beli_password = EncryptedTextField()
beli_user_id = fields.CharField(max_length=255, null=True)
# refresh token lasts 7 days; we store it encrypted to avoid re-authenticating each run
beli_refresh_token = EncryptedTextField(null=True)
last_refreshed_at = fields.DatetimeField(null=True)
last_error = fields.TextField(null=True)
enabled = fields.BooleanField(default=True)
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
class Meta:
table = "beli_profiles"
unique_together = (("user", "beli_email"),)
class BeliRestaurant(Model):
id = fields.UUIDField(primary_key=True, default=uuid.uuid4)
profile = fields.ForeignKeyField("models.BeliProfile", related_name="restaurants")
beli_business_id = fields.CharField(max_length=255)
# Empty string = profile owner's own ranking; UUID string = a followed user's ranking
friend_beli_user_id = fields.CharField(max_length=255, default="")
friend_name = fields.CharField(max_length=255, null=True)
# Beli category code: RES / DES / BAR / BAK; empty for bookmarks
beli_category = fields.CharField(max_length=10, default="")
name = fields.CharField(max_length=500)
city = fields.CharField(max_length=255, null=True)
neighborhood = fields.CharField(max_length=255, null=True)
cuisine = fields.JSONField(default=list)
price_range = fields.CharField(max_length=10, null=True)
status = fields.CharEnumField(enum_type=BeliStatus, max_length=20)
rank_index = fields.IntField(null=True)
score = fields.DecimalField(max_digits=5, decimal_places=2, null=True)
notes = fields.TextField(null=True)
tags = fields.JSONField(default=list)
fetched_at = fields.DatetimeField(auto_now=True)
created_at = fields.DatetimeField(auto_now_add=True)
class Meta:
table = "beli_restaurants"
unique_together = (
(
"profile",
"beli_business_id",
"status",
"friend_beli_user_id",
"beli_category",
),
)
+406 -100
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@@ -1,78 +1,143 @@
import datetime
import asyncio
import json
import logging
import os
import re
import time
import uuid
from quart import Blueprint, jsonify, make_response, request
from quart_jwt_extended import (
get_jwt_identity,
jwt_refresh_token_required,
)
from quart_jwt_extended import get_jwt_identity
import blueprints.users.models
from utils.image_process import analyze_user_image
from blueprints.artifacts.logic import artifact_ref, create_artifact_from_output
from blueprints.artifacts.models import Artifact
from blueprints.users.decorators import jwt_access_required
from metrics import count_result, observe_response, time_response
from utils.image_process import image_content_block
from utils.strip_markdown import extract_agent_text
from utils.image_upload import ImageValidationError, process_image
from utils.s3_client import generate_presigned_url as s3_presigned_url
from utils.s3_client import get_image as s3_get_image
from utils.s3_client import upload_image as s3_upload_image
from .agents import main_agent
from .logic import (
add_message_to_conversation,
get_conversation_by_id,
rename_conversation,
get_agent_for,
persist_agent_tool_messages,
tool_result_text,
)
from .memory import build_system_prompt_with_memories
from .models import (
Conversation,
PydConversation,
PydListConversation,
Speaker,
)
from .prompts import SIMBA_SYSTEM_PROMPT
from .tool_events import tool_end_payload, tool_name_from_message, tool_start_payload
from .tool_labels import tool_label
TTFT_TIMEOUT = float(os.getenv("TTFT_TIMEOUT_SECONDS", "30"))
_THINK_OPEN = "<think>"
_THINK_CLOSE = "</think>"
_THINK_RE = re.compile(r"<think>.*?</think>", re.DOTALL)
def _route_content(
buf: str, text: str, in_thinking: bool
) -> tuple[str, str, bool, str]:
"""Split a streaming content chunk into (thinking_text, content_text).
Handles tags split across chunk boundaries by keeping a small trailing
buffer. Returns the updated in_thinking state and any leftover buffer.
"""
combined = buf + text
thinking_parts: list[str] = []
content_parts: list[str] = []
while combined:
tag, hold = (
(_THINK_CLOSE, len(_THINK_CLOSE) - 1)
if in_thinking
else (_THINK_OPEN, len(_THINK_OPEN) - 1)
)
idx = combined.find(tag)
if idx == -1:
# Tag not yet complete — hold back enough bytes to catch a split.
if len(combined) <= hold:
return (
"".join(thinking_parts),
"".join(content_parts),
in_thinking,
combined,
)
safe, leftover = combined[:-hold], combined[-hold:]
(thinking_parts if in_thinking else content_parts).append(safe)
return (
"".join(thinking_parts),
"".join(content_parts),
in_thinking,
leftover,
)
(thinking_parts if in_thinking else content_parts).append(combined[:idx])
combined = combined[idx + len(tag) :]
in_thinking = not in_thinking
return "".join(thinking_parts), "".join(content_parts), in_thinking, ""
conversation_blueprint = Blueprint(
"conversation_api", __name__, url_prefix="/api/conversation"
)
_SYSTEM_PROMPT = SIMBA_SYSTEM_PROMPT
# Detached persistence tasks. A strong reference keeps them from being garbage
# collected mid-flight when the SSE stream is cancelled by a client disconnect.
_persist_tasks: set[asyncio.Task] = set()
def _build_messages_payload(
conversation, query_text: str, image_description: str | None = None
) -> list:
recent_messages = (
conversation.messages[-10:]
if len(conversation.messages) > 10
else conversation.messages
)
messages_payload = [{"role": "system", "content": _SYSTEM_PROMPT}]
for msg in recent_messages[:-1]: # Exclude the message we just added
role = "user" if msg.speaker == "user" else "assistant"
text = msg.text
if msg.image_key and role == "user":
text = f"[User sent an image]\n{text}"
messages_payload.append({"role": role, "content": text})
def _persist_in_background(coro) -> asyncio.Task:
task = asyncio.create_task(coro)
_persist_tasks.add(task)
task.add_done_callback(_persist_tasks.discard)
return task
# Build the current user message with optional image description
if image_description:
content = f"[Image analysis: {image_description}]"
if query_text:
content = f"{query_text}\n\n{content}"
async def _get_owned_conversation(conversation_id, user_id) -> Conversation | None:
"""Fetch a conversation only if it belongs to the given user."""
return await Conversation.get_or_none(id=conversation_id, user_id=user_id)
def _build_user_message(
query_text: str,
image_block: dict | None = None,
) -> dict:
"""Build the single new user message for this turn.
History is restored by the LangGraph checkpointer; only the current
message is passed to avoid duplicating prior turns in checkpoint state.
"""
if image_block:
content = [
{"type": "text", "text": query_text or "The user sent this image."},
image_block,
]
else:
content = query_text
messages_payload.append({"role": "user", "content": content})
return messages_payload
return {"role": "user", "content": content}
@conversation_blueprint.post("/query")
@jwt_refresh_token_required
@jwt_access_required
async def query():
current_user_uuid = get_jwt_identity()
user = await blueprints.users.models.User.get(id=current_user_uuid)
data = await request.get_json()
query = data.get("query")
conversation_id = data.get("conversation_id")
conversation = await get_conversation_by_id(conversation_id)
await conversation.fetch_related("messages")
conversation = await _get_owned_conversation(conversation_id, current_user_uuid)
if conversation is None:
return jsonify({"error": "conversation not found"}), 404
await add_message_to_conversation(
conversation=conversation,
message=query,
@@ -80,22 +145,34 @@ async def query():
user=user,
)
messages_payload = _build_messages_payload(conversation, query)
payload = {"messages": messages_payload}
with time_response(stream=False):
system_prompt = await build_system_prompt_with_memories(str(user.id))
payload = {"messages": [_build_user_message(query)]}
agent_config = {
"configurable": {
"user_id": str(user.id),
"is_admin": user.is_admin(),
"thread_id": str(conversation.id),
"system_prompt": system_prompt,
}
}
response = await main_agent.ainvoke(payload)
message = response.get("messages", [])[-1].content
await add_message_to_conversation(
conversation=conversation,
message=message,
speaker="simba",
user=user,
)
return jsonify({"response": message})
response = await get_agent_for(user).ainvoke(payload, config=agent_config)
message = extract_agent_text(response.get("messages", [])[-1].content)
await persist_agent_tool_messages(
conversation, user, response.get("messages", [])
)
await add_message_to_conversation(
conversation=conversation,
message=message,
speaker="simba",
user=user,
)
return jsonify({"response": message})
@conversation_blueprint.post("/upload-image")
@jwt_refresh_token_required
@jwt_access_required
async def upload_image():
current_user_uuid = get_jwt_identity()
await blueprints.users.models.User.get(id=current_user_uuid)
@@ -127,14 +204,14 @@ async def upload_image():
@conversation_blueprint.get("/image/<path:image_key>")
@jwt_refresh_token_required
@jwt_access_required
async def serve_image(image_key: str):
url = await s3_presigned_url(image_key)
return jsonify({"url": url})
@conversation_blueprint.post("/stream-query")
@jwt_refresh_token_required
@jwt_access_required
async def stream_query():
current_user_uuid = get_jwt_identity()
user = await blueprints.users.models.User.get(id=current_user_uuid)
@@ -142,8 +219,9 @@ async def stream_query():
query_text = data.get("query")
conversation_id = data.get("conversation_id")
image_key = data.get("image_key")
conversation = await get_conversation_by_id(conversation_id)
await conversation.fetch_related("messages")
conversation = await _get_owned_conversation(conversation_id, current_user_uuid)
if conversation is None:
return jsonify({"error": "conversation not found"}), 404
await add_message_to_conversation(
conversation=conversation,
message=query_text or "",
@@ -152,33 +230,194 @@ async def stream_query():
image_key=image_key,
)
# If an image was uploaded, analyze it with the vision model
image_description = None
# If an image was uploaded, attach it to the agent request directly
image_block = None
if image_key:
try:
image_bytes, _ = await s3_get_image(image_key)
image_description = await analyze_user_image(image_bytes)
logging.info(f"Image analysis complete for {image_key}")
image_block = image_content_block(image_bytes)
except Exception as e:
logging.error(f"Failed to analyze image: {e}")
image_description = "[Image could not be analyzed]"
logging.error(f"Failed to load image {image_key}: {e}")
query_text = f"{query_text or ''}\n\n[An image was sent but could not be loaded.]".strip()
messages_payload = _build_messages_payload(
conversation, query_text or "", image_description
)
payload = {"messages": messages_payload}
system_prompt = await build_system_prompt_with_memories(str(user.id))
payload = {"messages": [_build_user_message(query_text or "", image_block)]}
agent_config = {
"configurable": {
"user_id": str(user.id),
"is_admin": user.is_admin(),
"thread_id": str(conversation.id),
"system_prompt": system_prompt,
}
}
# Capture the agent reference while the request/app context is still active.
# Quart exits the app context before iterating the SSE response body, so
# current_app cannot be accessed inside event_generator().
main_agent = get_agent_for(user)
async def event_generator():
final_message = None
streamed = ""
# Tag-routing state for <think>…</think> blocks.
in_thinking = False
tag_buf = ""
# Fallback heartbeat for models that emit empty chunks before thinking text.
last_thinking = 0.0
turn_has_content = False
# Timing / observability
t0 = time.monotonic()
llm_start_at: float | None = None
first_content_at: float | None = None
tool_timers: dict[str, float] = {} # run_id -> start time
tool_spans: list[dict] = []
n_tokens = 0
model_name: str | None = None
cancelled = False
async def persist(text: str) -> None:
await add_message_to_conversation(
conversation=conversation,
message=text,
speaker="simba",
user=user,
)
def _log_summary(*, error: str | None = None) -> None:
now = time.monotonic()
thinking_ms = (
round((first_content_at - llm_start_at) * 1000)
if llm_start_at and first_content_at
else None
)
ttft_ms = (
round((first_content_at - t0) * 1000) if first_content_at else None
)
logging.info(
json.dumps(
{
"event": "stream_request",
"conv": str(conversation.id),
"user": user.username,
"total_ms": round((now - t0) * 1000),
"thinking_ms": thinking_ms,
"ttft_ms": ttft_ms,
"tokens": n_tokens,
"tools": tool_spans,
"model": model_name,
"cancelled": cancelled,
**({"error": error} if error else {}),
}
)
)
try:
async for event in main_agent.astream_events(payload, version="v2"):
aiter = main_agent.astream_events(
payload, version="v2", config=agent_config
).__aiter__()
while True:
# Apply a short TTFT timeout only during the window between
# on_chat_model_start and the first content token. Before the
# LLM call starts (tool phase) and after the first token, let
# the httpx read timeout handle stalls instead.
if llm_start_at is not None and first_content_at is None:
ttft_wait = TTFT_TIMEOUT - (time.monotonic() - llm_start_at)
timeout = max(ttft_wait, 1.0)
else:
timeout = None
try:
if timeout is not None:
event = await asyncio.wait_for(
aiter.__anext__(), timeout=timeout
)
else:
event = await aiter.__anext__()
except StopAsyncIteration:
break
except asyncio.TimeoutError:
_log_summary(error=f"TTFT timeout after {TTFT_TIMEOUT:.0f}s")
yield f"data: {json.dumps({'type': 'error', 'message': 'Simba took too long to respond. Please try again.', 'stalled': True})}\n\n"
return
event_type = event.get("event")
if event_type == "on_tool_start":
yield f"data: {json.dumps({'type': 'tool_start', 'tool': event['name']})}\n\n"
tool_timers[event["run_id"]] = time.monotonic()
yield f"data: {json.dumps(tool_start_payload(event))}\n\n"
elif event_type == "on_tool_end":
yield f"data: {json.dumps({'type': 'tool_end', 'tool': event['name']})}\n\n"
elif event_type in ("on_tool_end", "on_tool_error"):
now = time.monotonic()
start = tool_timers.pop(event["run_id"], None)
tool_spans.append(
{
"tool": event["name"],
"ms": round((now - start) * 1000) if start else None,
}
)
ref = None
# Persist tool output so later turns keep the fetched context
output = event.get("data", {}).get("output")
if event_type == "on_tool_end" and output is not None:
tool_message = await add_message_to_conversation(
conversation=conversation,
message=tool_result_text(event["name"], output),
speaker="tool",
user=user,
)
try:
artifact = await create_artifact_from_output(
output=output,
tool=event["name"],
user=user,
conversation=conversation,
message=tool_message,
)
except Exception as e:
logging.error(
f"Failed to save artifact from {event['name']}: {e}"
)
artifact = None
if artifact is not None:
ref = artifact_ref(artifact)
status = "error" if event_type == "on_tool_error" else "ok"
end_payload = tool_end_payload(
event, start, ref, now=now, status=status
)
yield f"data: {json.dumps(end_payload)}\n\n"
elif event_type == "on_chat_model_start":
turn_has_content = False
if llm_start_at is None:
llm_start_at = time.monotonic()
if model_name is None:
model_name = event.get("metadata", {}).get(
"ls_model_name"
) or event.get("name")
elif event_type == "on_chat_model_stream":
chunk = event.get("data", {}).get("chunk")
raw = getattr(chunk, "content", None)
if isinstance(raw, str) and raw:
think_text, content_text, in_thinking, tag_buf = _route_content(
tag_buf, raw, in_thinking
)
if think_text:
yield f"data: {json.dumps({'type': 'thinking_delta', 'delta': think_text})}\n\n"
if content_text:
if first_content_at is None:
first_content_at = time.monotonic()
turn_has_content = True
n_tokens += 1
streamed += content_text
yield f"data: {json.dumps({'type': 'content', 'delta': content_text})}\n\n"
elif not turn_has_content:
# Empty chunk before any content — heartbeat for models
# that don't emit <think> tags at all.
now = time.monotonic()
if now - last_thinking >= 1.0:
last_thinking = now
yield f"data: {json.dumps({'type': 'thinking'})}\n\n"
elif event_type == "on_chain_end":
output = event.get("data", {}).get("output")
@@ -188,22 +427,34 @@ async def stream_query():
last_msg = msgs[-1]
content = getattr(last_msg, "content", None)
if isinstance(content, str) and content:
final_message = content
final_message = _THINK_RE.sub("", content).strip()
except asyncio.CancelledError:
cancelled = True
_log_summary()
text = final_message or streamed
if text:
_persist_in_background(persist(text))
raise
except Exception as e:
count_result(stream=True, result="error")
_log_summary(error=str(e))
yield f"data: {json.dumps({'type': 'error', 'message': str(e)})}\n\n"
return
final_message = final_message or streamed
if final_message:
await add_message_to_conversation(
conversation=conversation,
message=final_message,
speaker="simba",
user=user,
)
# Persist via a detached, shielded task so a disconnect at this
# point (after generation completes) still commits the answer.
task = _persist_in_background(persist(final_message))
await asyncio.shield(task)
yield f"data: {json.dumps({'type': 'response', 'message': final_message})}\n\n"
else:
yield f"data: {json.dumps({'type': 'error', 'message': 'No response generated'})}\n\n"
observe_response(stream=True, seconds=time.monotonic() - t0)
count_result(stream=True, result="success")
_log_summary()
yield "data: [DONE]\n\n"
return await make_response(
@@ -218,37 +469,45 @@ async def stream_query():
@conversation_blueprint.route("/<conversation_id>")
@jwt_refresh_token_required
@jwt_access_required
async def get_conversation(conversation_id: str):
conversation = await Conversation.get(id=conversation_id)
current_user_uuid = get_jwt_identity()
user = await blueprints.users.models.User.get(id=current_user_uuid)
user_uuid = get_jwt_identity()
conversation = await _get_owned_conversation(conversation_id, user_uuid)
if conversation is None:
return jsonify({"error": "conversation not found"}), 404
await conversation.fetch_related("messages")
# Keyed by str so the match doesn't depend on the driver's UUID types.
artifacts_by_message = {
str(a.message_id): a
for a in await Artifact.filter(
conversation_id=conversation.id, message_id__isnull=False
).order_by("created_at")
}
# Manually serialize the conversation with messages
messages = []
for msg in conversation.messages:
messages.append(
{
"id": str(msg.id),
"text": msg.text,
"speaker": msg.speaker.value,
"created_at": msg.created_at.isoformat(),
"image_key": msg.image_key,
}
)
name = conversation.name
if len(messages) > 8 and "datetime" in name.lower():
name = await rename_conversation(
user=user,
conversation=conversation,
)
print(name)
item = {
"id": str(msg.id),
"text": msg.text,
"speaker": msg.speaker.value,
"created_at": msg.created_at.isoformat(),
"image_key": msg.image_key,
}
if msg.speaker == Speaker.TOOL:
# Tool messages hold raw fetched context for the LLM; only surface
# their header line (e.g. "[web_search result]") in the UI.
item["text"] = msg.text.split("\n", 1)[0]
tool = tool_name_from_message(msg.text)
artifact = artifacts_by_message.get(str(msg.id))
item["tool"] = tool
item["label"] = tool_label(tool)
item["artifact"] = artifact_ref(artifact) if artifact else None
messages.append(item)
return jsonify(
{
"id": str(conversation.id),
"name": name,
"name": conversation.name,
"messages": messages,
"created_at": conversation.created_at.isoformat(),
"updated_at": conversation.updated_at.isoformat(),
@@ -257,12 +516,12 @@ async def get_conversation(conversation_id: str):
@conversation_blueprint.post("/")
@jwt_refresh_token_required
@jwt_access_required
async def create_conversation():
user_uuid = get_jwt_identity()
user = await blueprints.users.models.User.get(id=user_uuid)
conversation = await Conversation.create(
name=f"{user.username} {datetime.datetime.now().timestamp}",
name="New Conversation",
user=user,
)
@@ -271,11 +530,58 @@ async def create_conversation():
@conversation_blueprint.get("/")
@jwt_refresh_token_required
@jwt_access_required
async def get_all_conversations():
user_uuid = get_jwt_identity()
user = await blueprints.users.models.User.get(id=user_uuid)
conversations = Conversation.filter(user=user)
serialized_conversations = await PydListConversation.from_queryset(conversations)
query = Conversation.filter(user=user)
search = request.args.get("search", "").strip()
if search:
query = query.filter(name__icontains=search)
query = query.order_by("-updated_at")
# `limit` is optional: when omitted we return the full list (backward
# compatible with any non-frontend callers). `offset` only applies with it.
limit = request.args.get("limit", type=int)
if limit is not None:
offset = request.args.get("offset", default=0, type=int)
query = query.offset(offset).limit(limit)
serialized_conversations = await PydListConversation.from_queryset(query)
return jsonify(serialized_conversations.model_dump())
@conversation_blueprint.patch("/<conversation_id>")
@jwt_access_required
async def rename_conversation(conversation_id: str):
user_uuid = get_jwt_identity()
body = await request.get_json()
name = (body or {}).get("name", "").strip()
if not name:
return jsonify({"error": "name is required"}), 400
conversation = await _get_owned_conversation(conversation_id, user_uuid)
if conversation is None:
return jsonify({"error": "conversation not found"}), 404
conversation.name = name[:255]
await conversation.save()
serialized_conversation = await PydConversation.from_tortoise_orm(conversation)
return jsonify(serialized_conversation.model_dump())
@conversation_blueprint.delete("/<conversation_id>")
@jwt_access_required
async def delete_conversation(conversation_id: str):
user_uuid = get_jwt_identity()
conversation = await _get_owned_conversation(conversation_id, user_uuid)
if conversation is None:
return jsonify({"error": "conversation not found"}), 404
await conversation.delete()
return jsonify({"success": True})
File diff suppressed because it is too large Load Diff
+178
View File
@@ -0,0 +1,178 @@
"""Helpers for building ToolArtifact dicts returned by agent tools.
See docs/cowork-ui-plan.md ("Artifacts") for the contract. Artifacts must be
plain JSON-serialisable dicts: they ride along in ToolMessage.artifact and are
stored in the LangGraph checkpoint.
"""
import os
from datetime import date, datetime
from decimal import Decimal
from pathlib import Path
from urllib.parse import quote, urlencode
SNIPPET_MAX_CHARS = 400
NOTE_MAX_CHARS = 50_000
ELLIPSIS = "…"
def make_artifact(
kind: str, title: str, data: dict, source_ref: dict | None = None
) -> dict:
artifact = {"kind": kind, "title": title, "data": data}
if source_ref:
artifact["source_ref"] = source_ref
return artifact
def truncate(text: str, limit: int) -> str:
"""Cap text at `limit` chars, ending in an ellipsis when cut."""
if len(text) <= limit:
return text
return text[: limit - len(ELLIPSIS)].rstrip() + ELLIPSIS
def snippet(text: str, limit: int = SNIPPET_MAX_CHARS) -> str:
"""Collapse whitespace and cap at the snippet limit."""
return truncate(" ".join((text or "").split()), limit)
def json_safe(value):
"""Convert a value (e.g. parsed YAML frontmatter) to JSON-safe types."""
if isinstance(value, (str, int, float, bool, type(None))):
return value
if isinstance(value, Decimal):
return float(value)
if isinstance(value, (datetime, date)):
return value.isoformat()
if isinstance(value, (list, tuple, set)):
return [json_safe(v) for v in value]
if isinstance(value, dict):
return {str(k): json_safe(v) for k, v in value.items()}
return str(value)
def unique(items) -> list:
"""Deduplicate while keeping first-seen order."""
return list(dict.fromkeys(items))
def _parse_date(value: str) -> date | None:
try:
return datetime.strptime(value, "%Y-%m-%d").date()
except (TypeError, ValueError):
return None
def format_day(value: str) -> str:
"""'2026-10-12' -> 'Oct 12'. Unparseable input is returned unchanged."""
d = _parse_date(value)
return f"{d:%b} {d.day}" if d else str(value)
def format_month(value: str) -> str:
"""'2026-10' or '2026-10-01' -> 'October 2026'. Unparseable input is returned unchanged."""
d = _parse_date(str(value)[:7] + "-01")
return f"{d:%B %Y}" if d else str(value)
def format_date_range(start: str, end: str) -> str:
"""Human date range: 'Oct 12–19', 'Oct 28–Nov 3', 'Dec 28, 2026–Jan 3, 2027'."""
s, e = _parse_date(start), _parse_date(end)
if not s or not e:
return f"{start}–{end}"
if s == e:
return f"{s:%b} {s.day}"
if s.year != e.year:
return f"{s:%b} {s.day}, {s.year}–{e:%b} {e.day}, {e.year}"
if s.month == e.month:
return f"{s:%b} {s.day}–{e.day}"
return f"{s:%b} {s.day}–{e:%b} {e.day}"
def epoch_to_date(value) -> str | None:
"""Epoch seconds -> 'YYYY-MM-DD' (None if not a number)."""
try:
return datetime.fromtimestamp(float(value)).strftime("%Y-%m-%d")
except (TypeError, ValueError, OverflowError, OSError):
return None
def mealie_recipe_url(slug: str) -> str | None:
"""Recipe page URL for Mealie v2 (`/g/<group-slug>/r/<slug>`)."""
base_url = os.getenv("MEALIE_BASE_URL", "").rstrip("/")
if not base_url:
return None
group = os.getenv("MEALIE_GROUP_SLUG", "") or "home"
return f"{base_url}/g/{quote(group)}/r/{quote(slug)}"
def mealie_source_ref(slug: str) -> dict:
ref = {"system": "mealie", "id": slug}
url = mealie_recipe_url(slug)
if url:
ref["url"] = url
return ref
def obsidian_source_ref(path: str) -> dict:
"""Obsidian ref; the obsidian:// URL needs OBSIDIAN_VAULT_NAME."""
ref = {"system": "obsidian", "path": path}
vault = os.getenv("OBSIDIAN_VAULT_NAME", "")
if vault:
ref["url"] = "obsidian://open?" + urlencode(
{"vault": vault, "file": path}, quote_via=quote
)
return ref
def note_title(path: str, frontmatter: dict | None = None) -> str:
"""Frontmatter `title` if present, else the filename without extension."""
title = (frontmatter or {}).get("title")
if isinstance(title, str) and title.strip():
return title.strip()
return Path(path).stem or path
def vault_relative_path(filepath: str) -> str:
"""Strip OBSIDIAN_VAULT_PATH from an absolute indexed filepath."""
vault = os.getenv("OBSIDIAN_VAULT_PATH", "/app/data/obsidian")
try:
return str(Path(filepath).relative_to(vault))
except ValueError:
return filepath
def search_documents_artifact(query: str, source: str, docs) -> dict | None:
"""Build a `search.documents` artifact from vector-store Documents."""
if not docs:
return None
results = []
for doc in docs:
meta = doc.metadata or {}
result = {"snippet": snippet(doc.page_content)}
if source == "obsidian":
filepath = meta.get("filepath") or ""
path = vault_relative_path(filepath) if filepath else ""
result["title"] = note_title(path, meta) if path else "Untitled note"
if path:
result["path"] = path
created = meta.get("created_at")
if isinstance(created, str) and created:
result["date"] = created[:10]
else:
filename = meta.get("filename") or ""
result["title"] = Path(filename).stem or filename or "Document"
if filename:
result["filename"] = filename
if meta.get("document_type"):
result["document_type"] = str(meta["document_type"])
created = epoch_to_date(meta.get("created_date"))
if created:
result["date"] = created
results.append(result)
return make_artifact(
"search.documents",
f"Search: {query}",
{"query": query, "source": source, "results": results},
)
+82 -25
View File
@@ -1,9 +1,54 @@
from datetime import datetime, timezone
import tortoise.exceptions
from langchain_openai import ChatOpenAI
from langchain_core.messages import ToolMessage
from quart import current_app
import blueprints.users.models
from .models import Conversation, ConversationMessage, RenameConversationOutputSchema
from .models import Conversation, ConversationMessage
# Cap persisted tool output so replayed history stays within the LLM context
# budget (llama-server slots are 32k tokens; base prompt + tools already use ~6k).
TOOL_RESULT_MAX_CHARS = 4000
def tool_result_text(tool_name: str, output) -> str:
"""Format a tool's output for persistence as a conversation message."""
content = getattr(output, "content", output)
if isinstance(content, (list, tuple)):
content = "\n".join(str(item) for item in content)
text = str(content)
if len(text) > TOOL_RESULT_MAX_CHARS:
text = text[:TOOL_RESULT_MAX_CHARS] + "\n[truncated]"
return f"[{tool_name} result]\n{text}"
def get_agent_for(user: blueprints.users.models.User):
"""Admins get the agent with admin-only tools (Homebox, BookStack); everyone else the main one."""
if user.is_admin():
return getattr(current_app, "admin_agent", current_app.main_agent)
return current_app.main_agent
async def persist_agent_tool_messages(
conversation: Conversation,
user: blueprints.users.models.User,
response_messages: list,
) -> None:
"""Persist ToolMessages from an agent response as 'tool' conversation messages.
Keeps fetched context (web searches, RAG chunks, etc.) available to later
turns, which otherwise only see the final text answers.
"""
for msg in response_messages:
if isinstance(msg, ToolMessage):
await add_message_to_conversation(
conversation=conversation,
message=tool_result_text(msg.name or "tool", msg),
speaker="tool",
user=user,
)
async def create_conversation(name: str = "") -> Conversation:
@@ -17,13 +62,26 @@ async def add_message_to_conversation(
speaker: str,
user: blueprints.users.models.User,
image_key: str | None = None,
message_handle: str | None = None,
) -> ConversationMessage:
print(conversation, message, speaker)
# Bump updated_at on every message so conversations sort by last activity.
# `update_fields` bypasses the auto_now recompute, so set it explicitly.
update_fields = ["updated_at"]
conversation.updated_at = datetime.now(timezone.utc)
# Name the conversation after the first user message
if speaker == "user" and not await conversation.messages.all().exists():
conversation.name = message[:100]
update_fields.append("name")
await conversation.save(update_fields=update_fields)
message = await ConversationMessage.create(
text=message,
speaker=speaker,
conversation=conversation,
image_key=image_key,
message_handle=message_handle,
)
return message
@@ -42,11 +100,29 @@ async def get_the_only_conversation() -> Conversation:
async def get_conversation_for_user(user: blueprints.users.models.User) -> Conversation:
try:
return await Conversation.get(user=user)
conversation = await Conversation.get(user=user)
except tortoise.exceptions.MultipleObjectsReturned:
conversation = (
await Conversation.filter(user=user).order_by("created_at").first()
)
except tortoise.exceptions.DoesNotExist:
await Conversation.get_or_create(name=f"{user.username}'s chat", user=user)
conversation = await Conversation.create(
name=f"{user.username}'s chat", user=user
)
return conversation
return await Conversation.get(user=user)
async def get_conversation_for_channel(
user: blueprints.users.models.User, channel: str
) -> Conversation:
conversation = await (
Conversation.filter(user=user, channel=channel).order_by("-updated_at").first()
)
if conversation is None:
conversation = await Conversation.create(
name=f"{user.username}'s {channel} chat", user=user, channel=channel
)
return conversation
async def get_conversation_by_id(id: str) -> Conversation:
@@ -61,22 +137,3 @@ async def get_conversation_transcript(
messages.append(f"{message.speaker} at {message.created_at}: {message.text}")
return "\n".join(messages)
async def rename_conversation(
user: blueprints.users.models.User,
conversation: Conversation,
) -> str:
messages: str = await get_conversation_transcript(
user=user, conversation=conversation
)
llm = ChatOpenAI(model="gpt-4o-mini")
structured_llm = llm.with_structured_output(RenameConversationOutputSchema)
prompt = f"Summarize the following conversation into a sassy one-liner title:\n\n{messages}"
response = structured_llm.invoke(prompt)
new_name: str = response.get("title", "")
conversation.name = new_name
await conversation.save()
return new_name
+28
View File
@@ -0,0 +1,28 @@
from .models import UserMemory
from .prompts import SIMBA_SYSTEM_PROMPT
async def get_memories_for_user(user_id: str) -> list[str]:
"""Return all memory content strings for a user, ordered by most recently updated."""
memories = await UserMemory.filter(user_id=user_id).order_by("-updated_at")
return [m.content for m in memories]
async def build_system_prompt_with_memories(user_id: str) -> str:
memories = await get_memories_for_user(user_id)
if not memories:
return SIMBA_SYSTEM_PROMPT
block = "\n".join(f"- {m}" for m in memories)
return f"{SIMBA_SYSTEM_PROMPT}\n\nUSER MEMORIES (facts the user has asked you to remember):\n{block}"
async def save_memory(user_id: str, content: str) -> str:
"""Save a new memory or touch an existing one (exact-match dedup)."""
existing = await UserMemory.filter(user_id=user_id, content=content).first()
if existing:
existing.updated_at = None # auto_now=True will refresh it on save
await existing.save(update_fields=["updated_at"])
return "Memory already exists (refreshed)."
await UserMemory.create(user_id=user_id, content=content)
return "Memory saved."
+14 -7
View File
@@ -1,5 +1,4 @@
import enum
from dataclasses import dataclass
from tortoise import fields
from tortoise.contrib.pydantic import (
@@ -9,15 +8,10 @@ from tortoise.contrib.pydantic import (
from tortoise.models import Model
@dataclass
class RenameConversationOutputSchema:
title: str
justification: str
class Speaker(enum.Enum):
USER = "user"
SIMBA = "simba"
TOOL = "tool"
class Conversation(Model):
@@ -28,6 +22,7 @@ class Conversation(Model):
user: fields.ForeignKeyRelation = fields.ForeignKeyField(
"models.User", related_name="conversations", null=True
)
channel = fields.CharField(max_length=20, default="web", null=True)
class Meta:
table = "conversations"
@@ -42,11 +37,23 @@ class ConversationMessage(Model):
created_at = fields.DatetimeField(auto_now_add=True)
speaker = fields.CharEnumField(enum_type=Speaker, max_length=10)
image_key = fields.CharField(max_length=512, null=True, default=None)
message_handle = fields.CharField(max_length=255, null=True, default=None)
class Meta:
table = "conversation_messages"
class UserMemory(Model):
id = fields.UUIDField(primary_key=True)
user = fields.ForeignKeyField("models.User", related_name="memories")
content = fields.TextField()
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
class Meta:
table = "user_memories"
PydConversationMessage = pydantic_model_creator(ConversationMessage)
PydConversation = pydantic_model_creator(
Conversation, name="Conversation", allow_cycles=True, exclude=("user",)
+26 -6
View File
@@ -1,4 +1,4 @@
SIMBA_SYSTEM_PROMPT = """You are a helpful cat assistant named Simba that understands veterinary terms. When there are questions to you specifically, they are referring to Simba the cat. Answer the user in as if you were a cat named Simba. Don't act too catlike. Be assertive.
SIMBA_SYSTEM_PROMPT = """You are Simba, Ryan's helpful personal assistant. You're named after his orange cat. You have a warm, friendly personality with a light cat-themed touch, but your priority is always being genuinely useful — give thorough, detailed answers and think things through carefully. When asked about Simba the cat, you speak as him in first person. For everything else, you're just a great assistant who happens to have a cat's name.
SIMBA FACTS (as of January 2026):
- Name: Simba
@@ -34,12 +34,29 @@ IMPORTANT: When users ask factual questions about Simba's health, medical histor
BUDGET & FINANCE (YNAB Integration):
You have access to Ryan's budget data through YNAB (You Need A Budget). When users ask about financial matters, use the appropriate YNAB tools:
- Use ynab_budget_summary for overall budget health and status questions
- Use ynab_budget_summary for a month's overview (Ready to Assign, income, spent, overspending, net worth)
- Use ynab_account_balances for account and credit card balances
- Use ynab_search_transactions to find specific purchases or spending at particular stores
- Use ynab_category_spending to analyze spending by category for a month
- Use ynab_insights to provide spending trends, patterns, and recommendations
- Use ynab_spending_report for totals by category, payee, or account, and group_by='month' for trends
- Use ynab_category_budget for what's assigned/available per category in a month
- Use ynab_recent_changes for what was added, edited, or re-assigned recently
Always use these tools when asked about budgets, spending, transactions, or financial health.
MEAL PLANNING (Mealie Integration):
You have access to Ryan's meal plans, recipes, and shopping lists through Mealie. When users ask about food or meal planning, use the appropriate Mealie tools:
- Use mealie_todays_meals to check what's planned for today
- Use mealie_meal_plans to see the week's meal schedule or a custom date range
- Use mealie_get_recipe to get full recipe details (ingredients, instructions)
- Use mealie_shopping_lists to check what groceries are needed
- Use mealie_create_meal_plan to add meals to the plan
Always use these tools when asked about meals, recipes, what's for dinner, or shopping lists.
HOME INVENTORY (Homebox Integration):
If homebox_* tools are available, use them for questions about household items: where something is stored, what's in a location, warranties, and maintenance. Search before creating items to avoid duplicates, and use homebox_set_item to edit an existing item (name, description, notes, quantity, purchase info, custom fields) instead of creating a new one.
WIKI (BookStack Integration):
If bookstack_* tools are available, use them to look up and write household documentation in the BookStack wiki. Search before creating books, chapters, or pages to avoid duplicates, and prefer updating an existing page over creating a near-copy. Write page content as markdown.
NOTES & RESEARCH (Obsidian Integration):
You have access to Ryan's Obsidian vault through the Obsidian integration. When users ask about research, personal notes, or information that might be stored in markdown files, use the appropriate Obsidian tools:
- Use obsidian_search_notes to search through your vault for relevant information
@@ -49,9 +66,12 @@ You have access to Ryan's Obsidian vault through the Obsidian integration. When
Always use these tools when users ask about notes, research, ideas, tasks, or when you want to save information for future reference.
DAILY JOURNAL (Task Tracking):
You have access to Ryan's daily journal notes. Each note lives at journal/YYYY/YYYY-MM-DD.md and has two sections: tasks and log.
You have access to Ryan's daily journal notes. Each note lives at 50 - Journal/YYYY/MM/YYYY-MM-DD.md and has two sections: tasks and log.
- Use journal_get_today to read today's full daily note (tasks + log)
- Use journal_get_tasks to list tasks (done/pending) for today or a specific date
- Use journal_add_task to add a new task to today's (or a given date's) note
- Use journal_complete_task to check off a task as done
Use these tools when Ryan asks about today's tasks, wants to add something to his list, or wants to mark a task complete."""
Use these tools when Ryan asks about today's tasks, wants to add something to his list, or wants to mark a task complete.
USER MEMORY:
You can remember facts about the user across conversations using the save_user_memory tool. When a user explicitly asks you to remember something, or shares a meaningful preference or personal fact, save it. Saved memories will automatically appear at the end of this prompt in future conversations under "USER MEMORIES"."""
+77
View File
@@ -0,0 +1,77 @@
"""Pure shaping of LangChain tool events into SSE `tool_start` / `tool_end` payloads."""
import json
import re
from .tool_labels import tool_label
INPUT_VALUE_MAX_CHARS = 200
# Injected by LangChain rather than chosen by the model; never shown to the client.
_HIDDEN_INPUT_KEYS = frozenset({"config", "callbacks", "run_manager"})
_TOOL_HEADER_RE = re.compile(r"^\[(\S+) result\]")
def _truncate(text: str) -> str:
if len(text) > INPUT_VALUE_MAX_CHARS:
return text[: INPUT_VALUE_MAX_CHARS - 1] + "…"
return text
def summarize_tool_input(raw) -> dict[str, str | int | float | bool]:
"""Reduce a tool's input to flat, display-safe scalars."""
if raw is None:
return {}
if not isinstance(raw, dict):
return {"input": _truncate(str(raw))}
summary: dict[str, str | int | float | bool] = {}
for key, value in raw.items():
if key in _HIDDEN_INPUT_KEYS or value is None:
continue
if isinstance(value, (bool, int, float)):
summary[key] = value
elif isinstance(value, str):
summary[key] = _truncate(value)
else:
try:
summary[key] = _truncate(json.dumps(value, default=str))
except (TypeError, ValueError):
summary[key] = _truncate(str(value))
return summary
def tool_start_payload(event: dict) -> dict:
name = event["name"]
return {
"type": "tool_start",
"run_id": event["run_id"],
"tool": name,
"label": tool_label(name),
"input": summarize_tool_input(event.get("data", {}).get("input")),
}
def tool_end_payload(
event: dict,
started_at: float | None,
artifact_ref: dict | None,
*,
now: float,
status: str = "ok",
) -> dict:
name = event["name"]
return {
"type": "tool_end",
"run_id": event["run_id"],
"tool": name,
"label": tool_label(name),
"status": status,
"ms": round((now - started_at) * 1000) if started_at is not None else 0,
"artifact": artifact_ref,
}
def tool_name_from_message(text: str) -> str:
"""Recover the tool name from a persisted `[tool_name result]` header."""
match = _TOOL_HEADER_RE.match(text)
return match.group(1) if match else "tool"
+64
View File
@@ -0,0 +1,64 @@
"""Friendly, user-facing labels for agent tool calls (shown in the activity timeline)."""
TOOL_LABELS: dict[str, str] = {
"get_current_date": "Checking the date…",
"web_search": "Searching the web…",
"simba_search": "Searching household documents…",
"save_user_memory": "Saving to memory…",
# YNAB (current names)
"ynab_budget_summary": "Checking budget…",
"ynab_search_transactions": "Searching transactions…",
"ynab_category_spending": "Reviewing category spending…",
"ynab_category_allocations": "Reviewing category budgets…",
"ynab_insights": "Analyzing spending trends…",
# YNAB (names after the #55 mirror)
"ynab_account_balances": "Checking account balances…",
"ynab_spending_report": "Building spending report…",
"ynab_category_budget": "Reviewing category budgets…",
"ynab_recent_changes": "Checking recent budget changes…",
"ynab_sql": "Querying budget data…",
# Mealie
"mealie_todays_meals": "Checking today's meals…",
"mealie_meal_plans": "Checking the meal plan…",
"mealie_get_recipe": "Fetching recipe…",
"mealie_shopping_lists": "Checking shopping lists…",
"mealie_create_meal_plan": "Adding to the meal plan…",
# Obsidian / journal
"obsidian_search_notes": "Searching notes…",
"obsidian_read_note": "Reading note…",
"obsidian_create_note": "Creating note…",
"obsidian_create_task": "Creating task…",
"journal_get_today": "Reading today's journal…",
"journal_get_tasks": "Checking tasks…",
"journal_add_task": "Adding task…",
"journal_complete_task": "Completing task…",
# Google
"get_calendar_events": "Checking calendar…",
"create_calendar_event": "Creating calendar event…",
"gmail_search_emails": "Searching email…",
"gmail_get_email": "Reading email…",
# SimbaKit
"simbakit_device_status": "Checking Simba's devices…",
"simbakit_weight_history": "Checking Simba's weight…",
"simbakit_litter_activity": "Checking litter box activity…",
"simbakit_drinking_activity": "Checking water fountain activity…",
# Beli
"beli_search_restaurants": "Searching restaurants…",
}
# MCP tools are discovered at runtime, so they match by name prefix.
TOOL_PREFIX_LABELS: tuple[tuple[str, str], ...] = (
("homebox_", "Checking home inventory…"),
("bookstack_", "Checking the wiki…"),
)
def tool_label(tool_name: str) -> str:
"""Return the friendly label for a tool, falling back to "Using <tool>…"."""
label = TOOL_LABELS.get(tool_name)
if label:
return label
for prefix, prefix_label in TOOL_PREFIX_LABELS:
if tool_name.startswith(prefix):
return prefix_label
return f"Using {tool_name}…"
+176
View File
@@ -0,0 +1,176 @@
import hmac
import logging
import os
from datetime import datetime, timezone
from quart import Blueprint, current_app, jsonify, request
from blueprints.users.decorators import admin_required
from blueprints.scheduled_messages.models import MessageChannel
from .models import CronJob
cron_blueprint = Blueprint("cron_api", __name__, url_prefix="/api/cron")
logger = logging.getLogger(__name__)
def _serialize(job: CronJob) -> dict:
return {
"id": str(job.id),
"name": job.name,
"description": job.description,
"prompt": job.prompt,
"recipient": job.recipient,
"channel": job.channel.value,
"enabled": job.enabled,
"last_run_at": job.last_run_at.isoformat() if job.last_run_at else None,
"last_status": job.last_status,
"last_error": job.last_error,
"created_at": job.created_at.isoformat(),
"updated_at": job.updated_at.isoformat(),
}
def _check_cron_secret() -> bool:
expected = os.environ.get("CRON_SECRET", "")
if not expected:
return False
provided = request.headers.get("X-Cron-Secret", "")
return hmac.compare_digest(provided.encode(), expected.encode())
@cron_blueprint.route("/", methods=["GET"])
@admin_required
async def list_jobs():
jobs = await CronJob.all().order_by("name")
return jsonify([_serialize(j) for j in jobs])
@cron_blueprint.route("/", methods=["POST"])
@admin_required
async def create_job():
data = await request.get_json()
if not data:
return jsonify({"error": "Invalid payload"}), 400
name = (data.get("name") or "").strip()
prompt = (data.get("prompt") or "").strip()
recipient = (data.get("recipient") or "").strip()
channel_str = data.get("channel")
description = (data.get("description") or "").strip() or None
if not name or not prompt or not recipient or not channel_str:
return jsonify(
{"error": "name, prompt, recipient, and channel are required"}
), 400
try:
channel = MessageChannel(channel_str)
except ValueError:
return jsonify(
{"error": f"Invalid channel: {channel_str}. Must be 'imessage' or 'email'"}
), 400
job = await CronJob.create(
name=name,
description=description,
prompt=prompt,
recipient=recipient,
channel=channel,
enabled=bool(data.get("enabled", True)),
)
return jsonify(_serialize(job)), 201
@cron_blueprint.route("/<job_id>", methods=["PUT"])
@admin_required
async def update_job(job_id: str):
job = await CronJob.get_or_none(id=job_id)
if not job:
return jsonify({"error": "Not found"}), 404
data = await request.get_json()
if not data:
return jsonify({"error": "Invalid payload"}), 400
if "name" in data:
job.name = data["name"].strip()
if "description" in data:
job.description = (data["description"] or "").strip() or None
if "prompt" in data:
job.prompt = data["prompt"].strip()
if "recipient" in data:
job.recipient = data["recipient"].strip()
if "channel" in data:
try:
job.channel = MessageChannel(data["channel"])
except ValueError:
return jsonify({"error": f"Invalid channel: {data['channel']}"}), 400
if "enabled" in data:
job.enabled = bool(data["enabled"])
await job.save()
return jsonify(_serialize(job))
@cron_blueprint.route("/<job_id>", methods=["DELETE"])
@admin_required
async def delete_job(job_id: str):
job = await CronJob.get_or_none(id=job_id)
if not job:
return jsonify({"error": "Not found"}), 404
await job.delete()
return jsonify({"status": "deleted"})
@cron_blueprint.route("/<job_id>/trigger", methods=["POST"])
async def trigger_job(job_id: str):
if not _check_cron_secret():
return jsonify({"error": "Unauthorized"}), 401
job = await CronJob.get_or_none(id=job_id)
if not job:
return jsonify({"error": "Not found"}), 404
if not job.enabled:
return jsonify({"skipped": True}), 200
try:
import uuid
response = await current_app.main_agent.ainvoke(
{"messages": [{"role": "user", "content": job.prompt}]},
config={"configurable": {"thread_id": f"cron-{uuid.uuid4()}"}},
)
result = response.get("messages", [])[-1].content
if job.channel == MessageChannel.IMESSAGE:
from blueprints.imessage import send_imessage
from utils.strip_markdown import strip_markdown
await send_imessage(job.recipient, strip_markdown(result))
elif job.channel == MessageChannel.EMAIL:
from blueprints.email import send_email_reply
await send_email_reply(
to=job.recipient,
subject=job.name,
body=result,
)
job.last_run_at = datetime.now(timezone.utc)
job.last_status = "success"
job.last_error = None
await job.save()
logger.info(f"Cron job {job.id} ({job.name}) executed successfully")
return jsonify({"ok": True})
except Exception as e:
job.last_run_at = datetime.now(timezone.utc)
job.last_status = "failed"
job.last_error = str(e)
await job.save()
logger.error(f"Cron job {job.id} ({job.name}) failed: {e}")
return jsonify({"error": str(e)}), 500
+22
View File
@@ -0,0 +1,22 @@
from tortoise import fields
from tortoise.models import Model
from blueprints.scheduled_messages.models import MessageChannel
class CronJob(Model):
id = fields.UUIDField(primary_key=True)
name = fields.CharField(max_length=255)
description = fields.TextField(null=True)
prompt = fields.TextField()
recipient = fields.CharField(max_length=255)
channel = fields.CharEnumField(enum_type=MessageChannel, max_length=20)
enabled = fields.BooleanField(default=True)
last_run_at = fields.DatetimeField(null=True)
last_status = fields.CharField(max_length=50, null=True)
last_error = fields.TextField(null=True)
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
class Meta:
table = "cron_jobs"
+11 -7
View File
@@ -7,14 +7,15 @@ import time
from collections import defaultdict
import httpx
from quart import Blueprint, request
from quart import Blueprint, current_app, request
from blueprints.users.models import User
from blueprints.conversation.logic import (
get_conversation_for_user,
get_conversation_for_channel,
add_message_to_conversation,
persist_agent_tool_messages,
)
from blueprints.conversation.agents import main_agent
from blueprints.conversation.models import Speaker
from blueprints.conversation.prompts import SIMBA_SYSTEM_PROMPT
from . import models # noqa: F401 — register Tortoise ORM models
from .helpers import generate_email_token, get_user_email_address # noqa: F401
@@ -176,7 +177,7 @@ async def webhook():
# Get or create conversation
try:
conversation = await get_conversation_for_user(user=user)
conversation = await get_conversation_for_channel(user=user, channel="email")
await conversation.fetch_related("messages")
except Exception as e:
logger.error(f"Failed to get conversation for user {user.username}: {e}")
@@ -193,17 +194,20 @@ async def webhook():
# Build messages payload
try:
messages = await conversation.messages.all()
recent_messages = list(messages)[-10:]
recent_messages = list(messages)[-20:]
messages_payload = [{"role": "system", "content": SIMBA_SYSTEM_PROMPT}]
for msg in recent_messages[:-1]:
role = "user" if msg.speaker == "user" else "assistant"
role = "user" if msg.speaker == Speaker.USER else "assistant"
messages_payload.append({"role": role, "content": msg.text})
messages_payload.append({"role": "user", "content": body})
logger.info(f"Invoking LangChain agent with {len(messages_payload)} messages")
response = await main_agent.ainvoke({"messages": messages_payload})
response = await current_app.main_agent.ainvoke({"messages": messages_payload})
response_text = response.get("messages", [])[-1].content
await persist_agent_tool_messages(
conversation, user, response.get("messages", [])
)
except Exception as e:
logger.error(f"Error invoking agent for email: {e}")
response_text = "Sorry, I'm having trouble thinking right now."
+24 -2
View File
@@ -4,11 +4,27 @@ Encryption service for email credentials.
Provides transparent Fernet encryption for sensitive fields in the database.
"""
import base64
import os
from cryptography.fernet import Fernet
from tortoise import fields
def _is_fernet_token(value: str) -> bool:
"""Return True if value looks like a Fernet token.
Fernet tokens are URL-safe base64 and decode to at least 73 bytes
(1 version + 8 timestamp + 16 IV + 16 min-ciphertext + 32 HMAC).
The first decoded byte is always 0x80 (the Fernet version byte).
"""
try:
padded = value + "=" * (-len(value) % 4)
raw = base64.urlsafe_b64decode(padded.encode())
return len(raw) >= 73 and raw[0] == 0x80
except Exception:
return False
class EncryptedTextField(fields.TextField):
"""
Custom Tortoise ORM field that transparently encrypts/decrypts text values.
@@ -38,10 +54,16 @@ class EncryptedTextField(fields.TextField):
return self.fernet.encrypt(value.encode()).decode()
def to_python_value(self, value: str) -> str:
"""Decrypt value when loading from database."""
"""Decrypt value when loading from database.
Plaintext values (e.g. freshly-set before the first DB round-trip) are
returned as-is. Values that look like Fernet tokens are decrypted — a
wrong key still raises InvalidToken, preserving the security guarantee.
"""
if value is None:
return None
# Decrypt Fernet token
if not _is_fernet_token(value):
return value
return self.fernet.decrypt(value.encode()).decode()
+389
View File
@@ -0,0 +1,389 @@
import asyncio
import os
import hmac
import logging
import functools
import time
from collections import defaultdict
import httpx
from quart import Blueprint, request, jsonify
from blueprints.users.models import User
from blueprints.conversation.logic import (
get_agent_for,
get_conversation_for_channel,
add_message_to_conversation,
persist_agent_tool_messages,
)
from blueprints.conversation.models import Conversation, ConversationMessage
from blueprints.conversation.memory import build_system_prompt_with_memories
from utils.strip_markdown import extract_agent_text, strip_markdown
imessage_blueprint = Blueprint("imessage_api", __name__, url_prefix="/api/imessage")
logger = logging.getLogger(__name__)
# Rate limiting: per-number message timestamps
_rate_limit_store: dict[str, list[float]] = defaultdict(list)
RATE_LIMIT_MAX = int(os.getenv("IMESSAGE_RATE_LIMIT_MAX", "10"))
RATE_LIMIT_WINDOW = int(os.getenv("IMESSAGE_RATE_LIMIT_WINDOW", "60"))
MAX_MESSAGE_LENGTH = 2000
SENDBLUE_API_BASE = "https://api.sendblue.co"
def _get_sendblue_headers() -> dict[str, str]:
return {
"sb-api-key-id": os.getenv("SENDBLUE_API_KEY", ""),
"sb-api-secret-key": os.getenv("SENDBLUE_API_SECRET", ""),
"Content-Type": "application/json",
}
def _check_rate_limit(phone_number: str) -> bool:
"""Check if a phone number has exceeded the rate limit.
Returns True if the request is allowed, False if rate-limited.
"""
now = time.monotonic()
cutoff = now - RATE_LIMIT_WINDOW
timestamps = _rate_limit_store[phone_number]
_rate_limit_store[phone_number] = [t for t in timestamps if t > cutoff]
if len(_rate_limit_store[phone_number]) >= RATE_LIMIT_MAX:
return False
_rate_limit_store[phone_number].append(now)
return True
async def send_imessage(
to_number: str,
content: str,
reply_to_handle: str | None = None,
) -> dict:
"""Send an iMessage via SendBlue API."""
from_number = os.getenv("SENDBLUE_FROM_NUMBER", "")
payload: dict = {
"number": to_number,
"from_number": from_number,
"content": content,
}
if reply_to_handle:
payload["reply_to"] = {"message_handle": reply_to_handle}
async with httpx.AsyncClient() as client:
resp = await client.post(
f"{SENDBLUE_API_BASE}/api/send-message",
headers=_get_sendblue_headers(),
json=payload,
timeout=30,
)
resp.raise_for_status()
return resp.json()
async def send_typing_indicator(
to_number: str,
state: str = "start",
max_duration_ms: int | None = None,
) -> None:
"""Send or stop a typing indicator. Errors are logged and swallowed."""
from_number = os.getenv("SENDBLUE_FROM_NUMBER", "")
payload: dict = {
"number": to_number,
"from_number": from_number,
"state": state,
}
if max_duration_ms is not None:
payload["max_duration_ms"] = max_duration_ms
try:
async with httpx.AsyncClient() as client:
await client.post(
f"{SENDBLUE_API_BASE}/api/send-typing-indicator",
headers=_get_sendblue_headers(),
json=payload,
timeout=10,
)
except Exception as e:
logger.warning(f"Failed to send typing indicator ({state}): {e}")
def validate_sendblue_signature(f):
"""Decorator to validate the SendBlue webhook signing secret."""
@functools.wraps(f)
async def decorated_function(*args, **kwargs):
if os.getenv("SENDBLUE_SIGNATURE_VALIDATION", "true").lower() == "false":
return await f(*args, **kwargs)
secret = os.getenv("SENDBLUE_WEBHOOK_SECRET")
if not secret:
logger.error("SENDBLUE_WEBHOOK_SECRET not set — rejecting request")
return jsonify({"error": "Server misconfigured"}), 500
sig = request.headers.get("sb-signing-secret", "")
if not hmac.compare_digest(sig, secret):
logger.warning("Invalid SendBlue signing secret")
return jsonify({"error": "Unauthorized"}), 403
return await f(*args, **kwargs)
return decorated_function
@imessage_blueprint.route("/webhook", methods=["POST"])
@validate_sendblue_signature
async def webhook():
"""Handle incoming iMessages from SendBlue."""
data = await request.get_json()
if not data:
return jsonify({"error": "Invalid payload"}), 400
from_number = data.get("from_number")
content = data.get("content") or ""
media_url = data.get("media_url")
is_outbound = data.get("is_outbound", False)
# Threading fields from SendBlue
inbound_handle = data.get("message_handle")
reply_to_handle = (data.get("reply_to") or {}).get("message_handle")
originator_handle = (data.get("thread_originator") or {}).get("message_handle")
# Ignore outbound messages (our own replies echoed back)
if is_outbound:
return jsonify({"status": "ignored"}), 200
if not from_number:
return jsonify({"error": "Missing from_number"}), 400
if not content and not media_url:
return jsonify({"error": "Missing content and media_url"}), 400
content = content.strip()
if not content and not media_url:
await send_imessage(
from_number,
"I received an empty message. Please send some text or an image!",
)
return jsonify({"status": "ok"}), 200
# Rate limiting
if not _check_rate_limit(from_number):
logger.warning(f"Rate limit exceeded for {from_number}")
await send_imessage(
from_number,
"You're sending messages too quickly. Please wait a moment and try again.",
)
return jsonify({"status": "rate_limited"}), 200
# Truncate overly long messages
if len(content) > MAX_MESSAGE_LENGTH:
content = content[:MAX_MESSAGE_LENGTH]
logger.info(
f"Truncated long message from {from_number} to {MAX_MESSAGE_LENGTH} chars"
)
logger.info(f"Received iMessage from {from_number}: {content[:100]}")
# Identify or create user
user = await User.filter(imessage_number=from_number).first()
if not user:
allowed_numbers = os.getenv("ALLOWED_IMESSAGE_NUMBERS", "").split(",")
if from_number not in allowed_numbers and "*" not in allowed_numbers:
await send_imessage(
from_number, "Sorry, you are not authorized to use this service."
)
return jsonify({"status": "unauthorized"}), 200
username = f"im_{from_number.lstrip('+')}"
try:
user = await User.create(
username=username,
email=f"{username}@imessage.simbarag.local",
imessage_number=from_number,
auth_provider="imessage",
)
logger.info(f"Created new user for iMessage: {username}")
except Exception as e:
logger.error(f"Failed to create user for {from_number}: {e}")
await send_imessage(
from_number, "Sorry, something went wrong setting up your account."
)
return jsonify({"status": "error"}), 200
# iMessage is restricted to admins
if not user.is_admin():
logger.warning(f"Non-admin user {user.username} attempted iMessage access")
await send_imessage(from_number, "Sorry, this feature is restricted to admins.")
return jsonify({"status": "forbidden"}), 200
# /threads command — list recent iMessage conversations
if content.strip().lower() == "/threads":
threads = (
await Conversation.filter(user=user, channel="imessage")
.order_by("-updated_at")
.limit(5)
)
if not threads:
await send_imessage(from_number, "No threads found.")
else:
lines = ["Your recent threads (most recent first):"]
for i, t in enumerate(threads, 1):
updated = t.updated_at.strftime("%b %-d")
lines.append(f"{i}. {t.name} ({updated})")
lines.append("\nReply to any message to continue its thread.")
await send_imessage(from_number, "\n".join(lines))
return jsonify({"status": "ok"}), 200
# Determine conversation based on iMessage reply threading:
# - Reply to an existing message → continue that conversation
# - New standalone message → start a fresh conversation
try:
if reply_to_handle:
lookup_handle = originator_handle or reply_to_handle
parent_msg = await ConversationMessage.get_or_none(
message_handle=lookup_handle,
conversation__user=user,
conversation__channel="imessage",
)
if parent_msg:
conversation = await Conversation.get(id=parent_msg.conversation_id)
logger.info(
f"Continuing conversation {conversation.id} via reply to {lookup_handle!r}"
)
else:
# Handle not found (pre-migration messages) — fall back to most recent
logger.warning(
f"Reply handle {lookup_handle!r} not in DB; falling back to most recent conversation"
)
conversation = await get_conversation_for_channel(
user=user, channel="imessage"
)
else:
conversation = await Conversation.create(
name="New iMessage",
user=user,
channel="imessage",
)
logger.info(
f"New iMessage conversation {conversation.id} for {user.username}"
)
except Exception as e:
logger.error(f"Failed to get/create conversation for {user.username}: {e}")
await send_imessage(
from_number, "Sorry, something went wrong. Please try again later."
)
return jsonify({"status": "error"}), 200
# Save the inbound message now so it's persisted before we ack
await add_message_to_conversation(
conversation=conversation,
message=content,
speaker="user",
user=user,
message_handle=inbound_handle,
)
# Fire LLM processing in the background so we can ack SendBlue immediately.
# SendBlue retries if it doesn't receive a 200 within its timeout (~5s).
asyncio.ensure_future(
_process_and_reply(
from_number=from_number,
inbound_handle=inbound_handle,
conversation=conversation,
user=user,
content=content,
media_url=media_url,
)
)
return jsonify({"status": "ok"}), 200
async def _process_and_reply(
from_number: str,
inbound_handle: str | None,
conversation: Conversation,
user,
content: str,
media_url: str | None,
) -> None:
"""Run the LLM agent and send the reply. Called as a background task."""
# Attach image if present
image_block = None
if media_url:
try:
from utils.image_process import image_content_block
async with httpx.AsyncClient() as client:
resp = await client.get(media_url, timeout=30)
resp.raise_for_status()
image_block = image_content_block(resp.content)
except Exception as e:
logger.error(f"Failed to load iMessage image: {e}")
content = f"{content or ''}\n\n[An image was sent but could not be loaded.]".strip()
await send_typing_indicator(from_number, state="start", max_duration_ms=120_000)
response_text = "Sorry, I'm having trouble thinking right now."
try:
if image_block:
user_content = [
{"type": "text", "text": content or "The user sent this image."},
image_block,
]
else:
user_content = content
system_prompt = await build_system_prompt_with_memories(str(user.id))
system_prompt += (
"\n\nIMPORTANT: You are replying via iMessage. Use plain text only. "
"Do not use markdown tables, headers, bullet points, bold, italics, "
"or any other markdown formatting. Write in natural prose."
)
agent_config = {
"configurable": {
"user_id": str(user.id),
"is_admin": user.is_admin(),
"thread_id": str(conversation.id),
"system_prompt": system_prompt,
}
}
logger.info(f"Invoking LangChain agent for conversation {conversation.id}")
response = await get_agent_for(user).ainvoke(
{"messages": [{"role": "user", "content": user_content}]},
config=agent_config,
)
response_text = extract_agent_text(response.get("messages", [])[-1].content)
await persist_agent_tool_messages(
conversation, user, response.get("messages", [])
)
except Exception as e:
logger.error(f"Error invoking agent: {e}")
finally:
await send_typing_indicator(from_number, state="stop")
send_resp = await send_imessage(
from_number,
strip_markdown(response_text),
reply_to_handle=inbound_handle,
)
outbound_handle = (send_resp or {}).get("message_handle")
await add_message_to_conversation(
conversation=conversation,
message=response_text,
speaker="simba",
user=user,
message_handle=outbound_handle,
)
+11 -14
View File
@@ -1,14 +1,18 @@
from quart import Blueprint, jsonify
from quart_jwt_extended import jwt_refresh_token_required
from .logic import fetch_obsidian_documents, get_vector_store_stats, index_documents, index_obsidian_documents, vector_store
from blueprints.users.decorators import admin_required
from .logic import (
delete_all_documents,
get_vector_store_stats,
index_documents,
sync_obsidian_documents,
)
from blueprints.users.decorators import admin_required, jwt_access_required
rag_blueprint = Blueprint("rag_api", __name__, url_prefix="/api/rag")
@rag_blueprint.get("/stats")
@jwt_refresh_token_required
@jwt_access_required
async def get_stats():
"""Get vector store statistics."""
stats = get_vector_store_stats()
@@ -32,14 +36,7 @@ async def trigger_index():
async def trigger_reindex():
"""Clear and reindex all documents. Admin only."""
try:
# Clear existing documents
collection = vector_store._collection
all_docs = collection.get()
if all_docs["ids"]:
collection.delete(ids=all_docs["ids"])
# Reindex
delete_all_documents()
await index_documents()
stats = get_vector_store_stats()
return jsonify({"status": "success", "stats": stats})
@@ -50,9 +47,9 @@ async def trigger_reindex():
@rag_blueprint.post("/index-obsidian")
@admin_required
async def trigger_obsidian_index():
"""Index all Obsidian markdown documents into vector store. Admin only."""
"""Incrementally sync Obsidian documents into vector store. Admin only."""
try:
result = await index_obsidian_documents()
result = await sync_obsidian_documents()
stats = get_vector_store_stats()
return jsonify({"status": "success", "result": result, "stats": stats})
except Exception as e:
+384 -42
View File
@@ -1,11 +1,19 @@
import datetime
import logging
import os
import re
import time
from pathlib import Path
from dotenv import load_dotenv
from langchain_chroma import Chroma
from langchain_core.documents import Document
from langchain_openai import OpenAIEmbeddings
from langchain_text_splitters import RecursiveCharacterTextSplitter
from langchain_postgres import PGVector
from langchain_text_splitters import (
MarkdownHeaderTextSplitter,
RecursiveCharacterTextSplitter,
)
from sqlalchemy import create_engine, text
from .fetchers import PaperlessNGXService
from utils.obsidian_service import ObsidianService
@@ -13,13 +21,51 @@ from utils.obsidian_service import ObsidianService
# Load environment variables
load_dotenv()
embeddings = OpenAIEmbeddings(model="text-embedding-3-small")
logger = logging.getLogger(__name__)
vector_store = Chroma(
collection_name="simba_docs",
embedding_function=embeddings,
persist_directory=os.getenv("CHROMADB_PATH", ""),
_embedding_server_url = os.getenv("EMBEDDING_SERVER_URL")
_embedding_model = os.getenv("EMBEDDING_MODEL_NAME", "text-embedding-3-small")
if _embedding_server_url:
embeddings = OpenAIEmbeddings(
model=_embedding_model,
base_url=_embedding_server_url,
api_key="not-needed",
check_embedding_ctx_length=False,
)
else:
embeddings = OpenAIEmbeddings(model=_embedding_model)
# Convert Tortoise-style postgres:// URL to SQLAlchemy-style postgresql+psycopg://
_db_url = os.getenv(
"DATABASE_URL", "postgres://raggr:raggr_dev_password@localhost:5432/raggr"
)
_pgvector_url = _db_url.replace("postgres://", "postgresql+psycopg://")
# Lazy-initialized vector store (defers DB connection to first use)
_vector_store = None
def _get_vector_store() -> PGVector:
global _vector_store
if _vector_store is None:
_vector_store = PGVector(
embeddings=embeddings,
collection_name="simba_docs",
connection=_pgvector_url,
use_jsonb=True,
create_extension=False, # created by docker init script
async_mode=True,
)
return _vector_store
def _get_engine():
"""Get a SQLAlchemy engine for direct queries."""
if not hasattr(_get_engine, "_engine"):
_get_engine._engine = create_engine(_pgvector_url)
return _get_engine._engine
text_splitter = RecursiveCharacterTextSplitter(
chunk_size=1000, # chunk size (characters)
@@ -27,6 +73,62 @@ text_splitter = RecursiveCharacterTextSplitter(
add_start_index=True, # track index in original document
)
md_header_splitter = MarkdownHeaderTextSplitter(
headers_to_split_on=[("#", "h1"), ("##", "h2"), ("###", "h3")],
strip_headers=False,
)
md_chunk_splitter = RecursiveCharacterTextSplitter(
chunk_size=1000,
chunk_overlap=200,
add_start_index=True,
)
def _split_markdown_document(doc: Document) -> list[Document]:
"""Split a markdown document by headers first, then by size.
Prepends the note filename to each chunk so chunks are self-contained.
"""
note_name = (
Path(doc.metadata.get("filepath", "")).stem
if doc.metadata.get("filepath")
else ""
)
# Split by markdown headers
header_splits = md_header_splitter.split_text(doc.page_content)
# Carry over original document metadata to each header split
for split in header_splits:
split.metadata.update(doc.metadata)
# Then apply size-based splitting on large sections
sized_splits = md_chunk_splitter.split_documents(header_splits)
# Prepend note name for self-contained context
if note_name:
for split in sized_splits:
split.page_content = f"[Note: {note_name}]\n{split.page_content}"
return sized_splits
def _get_collection_id():
"""Get the UUID of our collection from the langchain_pg_collection table."""
engine = _get_engine()
try:
with engine.connect() as conn:
result = conn.execute(
text("SELECT uuid FROM langchain_pg_collection WHERE name = :name"),
{"name": "simba_docs"},
)
row = result.fetchone()
return row[0] if row else None
except Exception:
# Table doesn't exist yet (first run before any indexing)
return None
def date_to_epoch(date_str: str) -> float:
split_date = date_str.split("-")
@@ -49,6 +151,7 @@ async def fetch_documents_from_paperless_ngx() -> list[Document]:
documents = []
for doc in data:
metadata = {
"source": "paperless",
"created_date": date_to_epoch(doc["created_date"]),
"filename": doc["original_file_name"],
"document_type": doctypes.get(doc["document_type"], ""),
@@ -58,12 +161,54 @@ async def fetch_documents_from_paperless_ngx() -> list[Document]:
return documents
def _make_serializable(value):
"""Convert a value to a JSON-serializable type."""
if isinstance(value, (str, int, float, bool, type(None))):
return value
if isinstance(value, (list, tuple)):
return [_make_serializable(v) for v in value]
if isinstance(value, dict):
return {k: _make_serializable(v) for k, v in value.items()}
return str(value)
def _sanitize_text(text_content: str) -> str:
"""Strip non-printable and invalid characters that break embedding tokenizers."""
# Remove null bytes and control characters (keep newlines and tabs)
text_content = re.sub(r"[\x00-\x08\x0b\x0c\x0e-\x1f\x7f-\x9f]", "", text_content)
# Remove Unicode surrogates and other problematic Unicode
text_content = re.sub(r"[\ud800-\udfff\ufffe\uffff]", "", text_content)
# Remove replacement character clusters
text_content = text_content.replace("\ufffd", "")
# Collapse excessive whitespace
text_content = re.sub(r" {3,}", " ", text_content)
return text_content.strip()
def _sanitize_documents(documents: list[Document]) -> list[Document]:
"""Sanitize page_content of all documents for embedding compatibility."""
for doc in documents:
doc.page_content = _sanitize_text(doc.page_content)
return [doc for doc in documents if doc.page_content]
async def index_documents():
"""Index Paperless-NGX documents into vector store."""
documents = await fetch_documents_from_paperless_ngx()
splits = text_splitter.split_documents(documents)
await vector_store.aadd_documents(documents=splits)
splits = _sanitize_documents(splits)
logger.info(f"Indexing {len(splits)} chunks from {len(documents)} documents")
vector_store = _get_vector_store()
for i, split in enumerate(splits):
try:
await vector_store.aadd_documents(documents=[split])
except Exception as e:
logger.error(
f"Failed to embed chunk {i} from {split.metadata.get('filename', 'unknown')}: {e}"
)
logger.debug(f"Chunk content preview: {split.page_content[:200]!r}")
raise
async def fetch_obsidian_documents() -> list[Document]:
@@ -85,20 +230,29 @@ async def fetch_obsidian_documents() -> list[Document]:
parsed = obsidian_service.parse_markdown(content, md_path)
# Create LangChain Document with obsidian source
metadata = {
"source": "obsidian",
"filepath": parsed["filepath"],
"folder": str(Path(parsed["filepath"]).parent)
if parsed["filepath"]
else "",
"tags": parsed["tags"],
"created_at": parsed["metadata"].get("created_at"),
"indexed_at": time.time(),
**{
k: v
for k, v in parsed["metadata"].items()
if k not in ["created_at", "created_by"]
},
}
document = Document(
page_content=parsed["content"],
metadata={
"source": "obsidian",
"filepath": parsed["filepath"],
"tags": parsed["tags"],
"created_at": parsed["metadata"].get("created_at"),
**{k: v for k, v in parsed["metadata"].items() if k not in ["created_at", "created_by"]},
},
metadata=_make_serializable(metadata),
)
documents.append(document)
except Exception as e:
print(f"Error reading {md_path}: {e}")
logger.warning(f"Error reading {md_path}: {e}")
continue
return documents
@@ -109,27 +263,168 @@ async def index_obsidian_documents():
Deletes existing obsidian source chunks before re-indexing.
"""
obsidian_service = ObsidianService()
documents = await fetch_obsidian_documents()
if not documents:
print("No Obsidian documents found to index")
logger.info("No Obsidian documents found to index")
return {"indexed": 0}
# Delete existing obsidian chunks
existing_results = vector_store.get(where={"source": "obsidian"})
if existing_results.get("ids"):
await vector_store.adelete(existing_results["ids"])
delete_documents_by_metadata("source", "obsidian")
# Split and index documents
splits = text_splitter.split_documents(documents)
# Split using markdown-aware chunking, sanitize, and index
splits = []
for doc in documents:
splits.extend(_split_markdown_document(doc))
splits = _sanitize_documents(splits)
vector_store = _get_vector_store()
await vector_store.aadd_documents(documents=splits)
return {"indexed": len(documents)}
async def query_vector_store(query: str):
retrieved_docs = await vector_store.asimilarity_search(query, k=2)
# In-memory cache of indexed obsidian files: {filepath: indexed_at}
_obsidian_index_cache: dict[str, float] = {}
def _load_obsidian_index_cache() -> dict[str, float]:
"""Load indexed obsidian files from DB into cache (cold start only)."""
collection_id = _get_collection_id()
if not collection_id:
return {}
engine = _get_engine()
with engine.connect() as conn:
result = conn.execute(
text(
"SELECT DISTINCT cmetadata->>'filepath' AS filepath, "
"MAX((cmetadata->>'indexed_at')::float) AS indexed_at "
"FROM langchain_pg_embedding "
"WHERE collection_id = :cid AND cmetadata->>'source' = 'obsidian' "
"GROUP BY cmetadata->>'filepath'"
),
{"cid": collection_id},
)
return {row[0]: row[1] for row in result if row[0] is not None}
async def sync_obsidian_documents() -> dict[str, int]:
"""Incrementally sync Obsidian documents to pgvector.
Compares file mtimes against stored indexed_at timestamps to only
re-index changed/new files and remove deleted ones.
Returns:
Dict with counts of added, updated, and deleted files.
"""
global _obsidian_index_cache
obsidian_service = ObsidianService()
# Load cache from DB on first run
if not _obsidian_index_cache:
_obsidian_index_cache = _load_obsidian_index_cache()
# Build map of current vault files -> mtime
vault_files: dict[str, float] = {}
for md_path in obsidian_service.walk_vault():
vault_files[str(md_path)] = md_path.stat().st_mtime
added = 0
updated = 0
deleted = 0
# Find files to add or update
files_to_index: list[str] = []
for filepath, mtime in vault_files.items():
indexed_at = _obsidian_index_cache.get(filepath)
if indexed_at is None:
files_to_index.append(filepath)
added += 1
elif mtime > indexed_at:
# Delete old chunks first
delete_documents_by_metadata("filepath", filepath)
files_to_index.append(filepath)
updated += 1
# Find deleted files (in cache but not on disk)
for filepath in list(_obsidian_index_cache):
if filepath not in vault_files:
delete_documents_by_metadata("filepath", filepath)
del _obsidian_index_cache[filepath]
deleted += 1
# Index new/changed files
if files_to_index:
now = time.time()
documents = []
for filepath in files_to_index:
try:
with open(filepath, "r", encoding="utf-8") as f:
content = f.read()
parsed = obsidian_service.parse_markdown(content, filepath)
metadata = {
"source": "obsidian",
"filepath": parsed["filepath"],
"folder": str(Path(parsed["filepath"]).parent)
if parsed["filepath"]
else "",
"tags": parsed["tags"],
"created_at": parsed["metadata"].get("created_at"),
"indexed_at": now,
**{
k: v
for k, v in parsed["metadata"].items()
if k not in ["created_at", "created_by"]
},
}
document = Document(
page_content=parsed["content"],
metadata=_make_serializable(metadata),
)
documents.append(document)
except Exception as e:
logger.warning(f"Error reading {filepath}: {e}")
continue
if documents:
splits = []
for doc in documents:
splits.extend(_split_markdown_document(doc))
splits = _sanitize_documents(splits)
if splits:
vector_store = _get_vector_store()
await vector_store.aadd_documents(documents=splits)
# Update cache for successfully processed files
for filepath in files_to_index:
_obsidian_index_cache[filepath] = now
logger.info(
f"Obsidian sync complete: {added} added, {updated} updated, {deleted} deleted"
)
return {"added": added, "updated": updated, "deleted": deleted}
async def query_vector_store(
query: str,
source: str | None = None,
k: int = 8,
):
"""Query the vector store with optional source filtering and MMR.
Args:
query: Search query text
source: Filter by source metadata (e.g., "obsidian", "paperless")
k: Number of results to return
"""
vector_store = _get_vector_store()
filter_dict = {"source": source} if source else None
retrieved_docs = await vector_store.amax_marginal_relevance_search(
query,
k=k,
fetch_k=k * 3,
filter=filter_dict,
)
serialized = "\n\n".join(
(f"Source: {doc.metadata}\nContent: {doc.page_content}")
for doc in retrieved_docs
@@ -137,33 +432,80 @@ async def query_vector_store(query: str):
return serialized, retrieved_docs
def delete_all_documents():
"""Delete all documents from the vector store collection."""
collection_id = _get_collection_id()
if not collection_id:
return
engine = _get_engine()
with engine.connect() as conn:
conn.execute(
text("DELETE FROM langchain_pg_embedding WHERE collection_id = :cid"),
{"cid": collection_id},
)
conn.commit()
def delete_documents_by_metadata(key: str, value: str):
"""Delete documents matching a metadata key/value pair."""
collection_id = _get_collection_id()
if not collection_id:
return
engine = _get_engine()
with engine.connect() as conn:
conn.execute(
text(
"DELETE FROM langchain_pg_embedding "
"WHERE collection_id = :cid AND cmetadata->>:key = :value"
),
{"cid": collection_id, "key": key, "value": value},
)
conn.commit()
def get_vector_store_stats():
"""Get statistics about the vector store."""
collection = vector_store._collection
count = collection.count()
collection_id = _get_collection_id()
count = 0
if collection_id:
engine = _get_engine()
with engine.connect() as conn:
result = conn.execute(
text(
"SELECT COUNT(*) FROM langchain_pg_embedding WHERE collection_id = :cid"
),
{"cid": collection_id},
)
count = result.scalar()
return {
"total_documents": count,
"collection_name": collection.name,
"collection_name": "simba_docs",
}
def list_all_documents(limit: int = 10):
"""List documents in the vector store with their metadata."""
collection = vector_store._collection
results = collection.get(limit=limit, include=["metadatas", "documents"])
collection_id = _get_collection_id()
if not collection_id:
return []
documents = []
for i, doc_id in enumerate(results["ids"]):
documents.append(
{
"id": doc_id,
"metadata": results["metadatas"][i]
if results.get("metadatas")
else None,
"content_preview": results["documents"][i][:200]
if results.get("documents")
else None,
}
engine = _get_engine()
with engine.connect() as conn:
result = conn.execute(
text(
"SELECT id, document, cmetadata FROM langchain_pg_embedding "
"WHERE collection_id = :cid LIMIT :limit"
),
{"cid": collection_id, "limit": limit},
)
documents = []
for row in result:
documents.append(
{
"id": str(row[0]),
"metadata": row[2],
"content_preview": row[1][:200] if row[1] else None,
}
)
return documents
+208
View File
@@ -0,0 +1,208 @@
import hmac
import logging
import os
from datetime import datetime, timezone
from quart import Blueprint, request, jsonify
from blueprints.users.decorators import admin_required
from .models import ScheduledMessage, MessageChannel, MessageStatus, Recurrence
scheduled_messages_blueprint = Blueprint(
"scheduled_messages_api", __name__, url_prefix="/api/scheduled-messages"
)
logger = logging.getLogger(__name__)
def _serialize(msg: ScheduledMessage) -> dict:
return {
"id": str(msg.id),
"recipient": msg.recipient,
"channel": msg.channel.value,
"content": msg.content,
"subject": msg.subject,
"scheduled_at": msg.scheduled_at.isoformat(),
"status": msg.status.value,
"recurrence": msg.recurrence.value,
"use_agent": msg.use_agent,
"error_message": msg.error_message,
"created_at": msg.created_at.isoformat(),
"updated_at": msg.updated_at.isoformat(),
}
@scheduled_messages_blueprint.route("/", methods=["GET"])
@admin_required
async def list_messages():
messages = await ScheduledMessage.all().order_by("-scheduled_at")
return jsonify([_serialize(m) for m in messages])
@scheduled_messages_blueprint.route("/", methods=["POST"])
@admin_required
async def create_message():
data = await request.get_json()
if not data:
return jsonify({"error": "Invalid payload"}), 400
recipient = (data.get("recipient") or "").strip()
channel = data.get("channel")
content = (data.get("content") or "").strip()
subject = (data.get("subject") or "").strip() or None
scheduled_at_str = data.get("scheduled_at")
recurrence_str = data.get("recurrence", "none")
if not recipient or not channel or not content or not scheduled_at_str:
return jsonify(
{"error": "recipient, channel, content, and scheduled_at are required"}
), 400
try:
channel_enum = MessageChannel(channel)
except ValueError:
return jsonify(
{"error": f"Invalid channel: {channel}. Must be 'imessage' or 'email'"}
), 400
try:
recurrence_enum = Recurrence(recurrence_str)
except ValueError:
return jsonify(
{
"error": f"Invalid recurrence: {recurrence_str}. Must be 'none', 'daily', 'weekly', or 'monthly'"
}
), 400
if channel_enum == MessageChannel.EMAIL and not subject:
return jsonify({"error": "subject is required for email messages"}), 400
try:
scheduled_at = datetime.fromisoformat(scheduled_at_str)
if scheduled_at.tzinfo is None:
scheduled_at = scheduled_at.replace(tzinfo=timezone.utc)
except ValueError:
return jsonify({"error": "Invalid scheduled_at format"}), 400
if scheduled_at <= datetime.now(timezone.utc):
return jsonify({"error": "scheduled_at must be in the future"}), 400
from quart_jwt_extended import get_jwt_identity
user_id = get_jwt_identity()
use_agent = bool(data.get("use_agent", False))
msg = await ScheduledMessage.create(
recipient=recipient,
channel=channel_enum,
content=content,
subject=subject,
scheduled_at=scheduled_at,
recurrence=recurrence_enum,
use_agent=use_agent,
created_by_id=user_id,
)
from utils.cronicle import create_message_event
await create_message_event(str(msg.id), msg.scheduled_at, recurrence_enum.value)
return jsonify(_serialize(msg)), 201
@scheduled_messages_blueprint.route("/<msg_id>", methods=["PUT"])
@admin_required
async def update_message(msg_id: str):
msg = await ScheduledMessage.get_or_none(id=msg_id)
if not msg:
return jsonify({"error": "Not found"}), 404
if msg.status not in (MessageStatus.PENDING, MessageStatus.FAILED):
return jsonify({"error": "Can only update pending or failed messages"}), 400
data = await request.get_json()
if not data:
return jsonify({"error": "Invalid payload"}), 400
rescheduled = False
if "recipient" in data:
msg.recipient = data["recipient"].strip()
if "channel" in data:
try:
msg.channel = MessageChannel(data["channel"])
except ValueError:
return jsonify({"error": f"Invalid channel: {data['channel']}"}), 400
if "content" in data:
msg.content = data["content"].strip()
if "subject" in data:
msg.subject = data["subject"].strip() or None
if "recurrence" in data:
try:
msg.recurrence = Recurrence(data["recurrence"])
except ValueError:
return jsonify({"error": f"Invalid recurrence: {data['recurrence']}"}), 400
if "use_agent" in data:
msg.use_agent = bool(data["use_agent"])
if "scheduled_at" in data:
try:
scheduled_at = datetime.fromisoformat(data["scheduled_at"])
if scheduled_at.tzinfo is None:
scheduled_at = scheduled_at.replace(tzinfo=timezone.utc)
if scheduled_at <= datetime.now(timezone.utc):
return jsonify({"error": "scheduled_at must be in the future"}), 400
msg.scheduled_at = scheduled_at
rescheduled = True
except ValueError:
return jsonify({"error": "Invalid scheduled_at format"}), 400
if "status" in data and data["status"] == "cancelled":
msg.status = MessageStatus.CANCELLED
elif rescheduled:
msg.status = MessageStatus.PENDING
msg.error_message = None
if msg.channel == MessageChannel.EMAIL and not msg.subject:
return jsonify({"error": "subject is required for email messages"}), 400
await msg.save()
if rescheduled and msg.status == MessageStatus.PENDING:
from utils.cronicle import create_message_event
await create_message_event(str(msg.id), msg.scheduled_at, msg.recurrence.value)
return jsonify(_serialize(msg))
def _check_cron_secret() -> bool:
expected = os.environ.get("CRON_SECRET", "")
if not expected:
return False
provided = request.headers.get("X-Cron-Secret", "")
return hmac.compare_digest(provided.encode(), expected.encode())
@scheduled_messages_blueprint.route("/trigger", methods=["POST"])
async def trigger_due_messages():
if not _check_cron_secret():
return jsonify({"error": "Unauthorized"}), 401
from .scheduler import process_due_messages
result = await process_due_messages()
return jsonify(result)
@scheduled_messages_blueprint.route("/<msg_id>", methods=["DELETE"])
@admin_required
async def delete_message(msg_id: str):
msg = await ScheduledMessage.get_or_none(id=msg_id)
if not msg:
return jsonify({"error": "Not found"}), 404
if msg.status not in (MessageStatus.PENDING, MessageStatus.CANCELLED):
return jsonify({"error": "Can only delete pending or cancelled messages"}), 400
await msg.delete()
return jsonify({"status": "deleted"})
+48
View File
@@ -0,0 +1,48 @@
import enum
from tortoise import fields
from tortoise.models import Model
class MessageChannel(enum.Enum):
IMESSAGE = "imessage"
EMAIL = "email"
class MessageStatus(enum.Enum):
PENDING = "pending"
SENT = "sent"
FAILED = "failed"
CANCELLED = "cancelled"
class Recurrence(enum.Enum):
NONE = "none"
DAILY = "daily"
WEEKLY = "weekly"
MONTHLY = "monthly"
class ScheduledMessage(Model):
id = fields.UUIDField(primary_key=True)
recipient = fields.CharField(max_length=255)
channel = fields.CharEnumField(enum_type=MessageChannel, max_length=20)
content = fields.TextField()
subject = fields.CharField(max_length=255, null=True)
scheduled_at = fields.DatetimeField()
status = fields.CharEnumField(
enum_type=MessageStatus, max_length=20, default=MessageStatus.PENDING
)
recurrence = fields.CharEnumField(
enum_type=Recurrence, max_length=20, default=Recurrence.NONE
)
use_agent = fields.BooleanField(default=False)
error_message = fields.TextField(null=True)
created_by = fields.ForeignKeyField(
"models.User", related_name="scheduled_messages"
)
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
class Meta:
table = "scheduled_messages"
+102
View File
@@ -0,0 +1,102 @@
import logging
import uuid
from datetime import datetime, timezone
from dateutil.relativedelta import relativedelta
from quart import current_app
from .models import ScheduledMessage, MessageChannel, MessageStatus, Recurrence
logger = logging.getLogger(__name__)
RECURRENCE_DELTAS = {
Recurrence.DAILY: relativedelta(days=1),
Recurrence.WEEKLY: relativedelta(weeks=1),
Recurrence.MONTHLY: relativedelta(months=1),
}
async def _run_agent(prompt: str, thread_id: str) -> str:
response = await current_app.main_agent.ainvoke(
{"messages": [{"role": "user", "content": prompt}]},
config={"configurable": {"thread_id": thread_id}},
)
return response.get("messages", [])[-1].content
async def _schedule_next_occurrence(msg: ScheduledMessage):
delta = RECURRENCE_DELTAS.get(msg.recurrence)
if not delta:
return
next_at = msg.scheduled_at + delta
now = datetime.now(timezone.utc)
while next_at <= now:
next_at += delta
await ScheduledMessage.create(
recipient=msg.recipient,
channel=msg.channel,
content=msg.content,
subject=msg.subject,
scheduled_at=next_at,
recurrence=msg.recurrence,
use_agent=msg.use_agent,
created_by_id=msg.created_by_id,
)
logger.info(
f"Scheduled next {msg.recurrence.value} occurrence for {msg.id} at {next_at.isoformat()}"
)
async def process_due_messages() -> dict:
"""Process all currently due pending messages. Returns a result summary."""
now = datetime.now(timezone.utc)
due = await ScheduledMessage.filter(
status=MessageStatus.PENDING,
scheduled_at__lte=now,
).all()
sent, failed = 0, 0
for msg in due:
try:
send_content = msg.content
if msg.use_agent:
send_content = await _run_agent(
msg.content, f"scheduled-{uuid.uuid4()}"
)
if msg.channel == MessageChannel.IMESSAGE:
from blueprints.imessage import send_imessage
from utils.strip_markdown import strip_markdown
await send_imessage(msg.recipient, strip_markdown(send_content))
elif msg.channel == MessageChannel.EMAIL:
from blueprints.email import send_email_reply
await send_email_reply(
to=msg.recipient,
subject=msg.subject or "(no subject)",
body=send_content,
)
msg.status = MessageStatus.SENT
msg.error_message = None
await msg.save()
logger.info(
f"Sent scheduled {msg.channel.value} message {msg.id} to {msg.recipient}"
)
sent += 1
if msg.recurrence != Recurrence.NONE:
await _schedule_next_occurrence(msg)
except Exception as e:
msg.status = MessageStatus.FAILED
msg.error_message = str(e)
await msg.save()
logger.error(f"Failed to send scheduled message {msg.id}: {e}")
failed += 1
return {"sent": sent, "failed": failed}
+104 -50
View File
@@ -7,7 +7,8 @@ from quart_jwt_extended import (
)
from .models import User
from .oidc_service import OIDCUserService
from .decorators import admin_required
from .oidc_state import consume_oidc_state, save_oidc_state
from .decorators import admin_required, jwt_access_required
from config.oidc_config import oidc_config
import os
import secrets
@@ -19,10 +20,6 @@ import base64
user_blueprint = Blueprint("user_api", __name__, url_prefix="/api/user")
# In-memory storage for OIDC state/PKCE (production: use Redis or database)
# Format: {state: {"pkce_verifier": str, "redirect_after_login": str}}
_oidc_sessions = {}
@user_blueprint.route("/oidc/login", methods=["GET"])
async def oidc_login():
@@ -47,11 +44,8 @@ async def oidc_login():
# Generate state for CSRF protection
state = secrets.token_urlsafe(32)
# Store PKCE verifier and state for callback validation
_oidc_sessions[state] = {
"pkce_verifier": code_verifier,
"redirect_after_login": request.args.get("redirect", "/"),
}
# Persist PKCE verifier keyed by state for callback validation
await save_oidc_state(state, code_verifier)
# Get authorization endpoint from discovery
discovery = await oidc_config.get_discovery_document()
@@ -93,12 +87,10 @@ async def oidc_callback():
return jsonify({"error": "Missing code or state"}), 400
# Validate state and retrieve PKCE verifier
session = _oidc_sessions.pop(state, None)
if not session:
pkce_verifier = await consume_oidc_state(state)
if not pkce_verifier:
return jsonify({"error": "Invalid or expired state"}), 400
pkce_verifier = session["pkce_verifier"]
# Exchange authorization code for tokens
discovery = await oidc_config.get_discovery_document()
token_endpoint = discovery.get("token_endpoint")
@@ -206,38 +198,48 @@ async def login():
@user_blueprint.route("/me", methods=["GET"])
@jwt_refresh_token_required
@jwt_access_required
async def me():
user_id = get_jwt_identity()
user = await User.get_or_none(id=user_id)
if not user:
return jsonify({"error": "User not found"}), 404
return jsonify({
"id": str(user.id),
"username": user.username,
"email": user.email,
"is_admin": user.is_admin(),
})
return jsonify(
{
"id": str(user.id),
"username": user.username,
"email": user.email,
"is_admin": user.is_admin(),
}
)
@user_blueprint.route("/admin/users", methods=["GET"])
@admin_required
async def list_users():
from blueprints.email.helpers import get_user_email_address
users = await User.all().order_by("username")
mailgun_domain = os.getenv("MAILGUN_DOMAIN", "")
return jsonify([
{
"id": str(u.id),
"username": u.username,
"email": u.email,
"whatsapp_number": u.whatsapp_number,
"auth_provider": u.auth_provider,
"email_enabled": u.email_enabled,
"email_address": get_user_email_address(u.email_hmac_token, mailgun_domain) if u.email_hmac_token and u.email_enabled else None,
}
for u in users
])
return jsonify(
[
{
"id": str(u.id),
"username": u.username,
"email": u.email,
"whatsapp_number": u.whatsapp_number,
"imessage_number": u.imessage_number,
"auth_provider": u.auth_provider,
"email_enabled": u.email_enabled,
"email_address": get_user_email_address(
u.email_hmac_token, mailgun_domain
)
if u.email_hmac_token and u.email_enabled
else None,
}
for u in users
]
)
@user_blueprint.route("/admin/users/<user_id>/whatsapp", methods=["PUT"])
@@ -254,17 +256,21 @@ async def set_whatsapp(user_id):
conflict = await User.filter(whatsapp_number=number).exclude(id=user_id).first()
if conflict:
return jsonify({"error": "That WhatsApp number is already linked to another account"}), 409
return jsonify(
{"error": "That WhatsApp number is already linked to another account"}
), 409
user.whatsapp_number = number
await user.save()
return jsonify({
"id": str(user.id),
"username": user.username,
"email": user.email,
"whatsapp_number": user.whatsapp_number,
"auth_provider": user.auth_provider,
})
return jsonify(
{
"id": str(user.id),
"username": user.username,
"email": user.email,
"whatsapp_number": user.whatsapp_number,
"auth_provider": user.auth_provider,
}
)
@user_blueprint.route("/admin/users/<user_id>/whatsapp", methods=["DELETE"])
@@ -279,11 +285,55 @@ async def unlink_whatsapp(user_id):
return jsonify({"ok": True})
@user_blueprint.route("/admin/users/<user_id>/imessage", methods=["PUT"])
@admin_required
async def set_imessage(user_id):
data = await request.get_json()
number = (data or {}).get("imessage_number", "").strip()
if not number:
return jsonify({"error": "imessage_number is required"}), 400
user = await User.get_or_none(id=user_id)
if not user:
return jsonify({"error": "User not found"}), 404
conflict = await User.filter(imessage_number=number).exclude(id=user_id).first()
if conflict:
return jsonify(
{"error": "That iMessage number is already linked to another account"}
), 409
user.imessage_number = number
await user.save()
return jsonify(
{
"id": str(user.id),
"username": user.username,
"email": user.email,
"imessage_number": user.imessage_number,
"auth_provider": user.auth_provider,
}
)
@user_blueprint.route("/admin/users/<user_id>/imessage", methods=["DELETE"])
@admin_required
async def unlink_imessage(user_id):
user = await User.get_or_none(id=user_id)
if not user:
return jsonify({"error": "User not found"}), 404
user.imessage_number = None
await user.save()
return jsonify({"ok": True})
@user_blueprint.route("/admin/users/<user_id>/email", methods=["PUT"])
@admin_required
async def toggle_email(user_id):
"""Enable email channel for a user, generating an HMAC token."""
from blueprints.email.helpers import generate_email_token, get_user_email_address
user = await User.get_or_none(id=user_id)
if not user:
return jsonify({"error": "User not found"}), 404
@@ -299,15 +349,19 @@ async def toggle_email(user_id):
user.email_enabled = True
await user.save()
return jsonify({
"id": str(user.id),
"username": user.username,
"email": user.email,
"whatsapp_number": user.whatsapp_number,
"auth_provider": user.auth_provider,
"email_enabled": user.email_enabled,
"email_address": get_user_email_address(user.email_hmac_token, mailgun_domain),
})
return jsonify(
{
"id": str(user.id),
"username": user.username,
"email": user.email,
"whatsapp_number": user.whatsapp_number,
"auth_provider": user.auth_provider,
"email_enabled": user.email_enabled,
"email_address": get_user_email_address(
user.email_hmac_token, mailgun_domain
),
}
)
@user_blueprint.route("/admin/users/<user_id>/email", methods=["DELETE"])
+39 -2
View File
@@ -4,10 +4,47 @@ Authentication decorators for role-based access control.
from functools import wraps
from quart import jsonify
from quart_jwt_extended import jwt_refresh_token_required, get_jwt_identity
from quart_jwt_extended import get_jwt_identity
from quart_jwt_extended.exceptions import WrongTokenError
from quart_jwt_extended.view_decorators import (
verify_jwt_in_request,
verify_jwt_refresh_token_in_request,
)
from .models import User
def jwt_access_required(fn):
"""
Protect an endpoint with the (1h) access token.
TRANSITIONAL: this also accepts the refresh token, so an old frontend
(which sends the refresh token on every call) keeps working against this
backend, including tabs that stay open across deploys.
It does NOT make a new frontend work against an older backend: routes
still on `@jwt_refresh_token_required` answer an access token with 422,
which the frontend does not retry. So this backend must be live on both
colors before the access-token frontend ships (deploy in two releases).
TODO: once the access-token frontend has been live for a while, replace
the body with `await verify_jwt_in_request()` (i.e. plain `@jwt_required`)
and map WrongTokenError to 401, so a stale tab still sending the refresh
token refreshes and retries instead of failing with 422.
"""
@wraps(fn)
async def wrapper(*args, **kwargs):
try:
await verify_jwt_in_request()
except WrongTokenError:
# Legacy client sent the refresh token. Expired/invalid tokens
# still raise from verify_jwt_in_request and are not retried here.
await verify_jwt_refresh_token_in_request()
return await fn(*args, **kwargs)
return wrapper
def admin_required(fn):
"""
Decorator that requires the user to be an admin (member of lldap_admin group).
@@ -15,7 +52,7 @@ def admin_required(fn):
"""
@wraps(fn)
@jwt_refresh_token_required
@jwt_access_required
async def wrapper(*args, **kwargs):
user_id = get_jwt_identity()
user = await User.get_or_none(id=user_id)
+25 -2
View File
@@ -10,11 +10,18 @@ class User(Model):
username = fields.CharField(max_length=255)
password = fields.BinaryField(null=True) # Hashed - nullable for OIDC users
email = fields.CharField(max_length=100, unique=True)
whatsapp_number = fields.CharField(max_length=30, unique=True, null=True, index=True)
whatsapp_number = fields.CharField(
max_length=30, unique=True, null=True, index=True
)
imessage_number = fields.CharField(
max_length=30, unique=True, null=True, index=True
)
# Email channel fields
email_enabled = fields.BooleanField(default=False)
email_hmac_token = fields.CharField(max_length=16, unique=True, null=True, index=True)
email_hmac_token = fields.CharField(
max_length=16, unique=True, null=True, index=True
)
# OIDC fields
oidc_subject = fields.CharField(
@@ -49,3 +56,19 @@ class User(Model):
if not self.password:
return False
return bcrypt.checkpw(plain_password.encode("utf-8"), self.password)
class OIDCState(Model):
"""Pending OIDC login: maps the `state` param to its PKCE verifier.
Stored in Postgres (not process memory) so a login that starts on one
blue/green color and finishes on the other still validates.
"""
state = fields.CharField(max_length=128, primary_key=True)
pkce_verifier = fields.CharField(max_length=128)
expires_at = fields.DatetimeField(index=True)
created_at = fields.DatetimeField(auto_now_add=True)
class Meta:
table = "oidc_states"
+36
View File
@@ -0,0 +1,36 @@
"""
Persistent, single-use store for pending OIDC logins (state -> PKCE verifier).
Lives in Postgres so a login started on one blue/green color can finish on
the other.
"""
from datetime import datetime, timedelta, timezone
from .models import OIDCState
OIDC_STATE_TTL = timedelta(minutes=10)
async def save_oidc_state(
state: str, pkce_verifier: str, ttl: timedelta = OIDC_STATE_TTL
) -> None:
now = datetime.now(timezone.utc)
# Opportunistic cleanup of abandoned logins
await OIDCState.filter(expires_at__lte=now).delete()
await OIDCState.create(
state=state, pkce_verifier=pkce_verifier, expires_at=now + ttl
)
async def consume_oidc_state(state: str) -> str | None:
"""Return the PKCE verifier for `state` and delete it, or None if the
state is unknown, expired, or was already consumed."""
row = await OIDCState.get_or_none(state=state)
if row is None:
return None
# The delete is the single-use guard: only one concurrent caller wins.
deleted = await OIDCState.filter(state=state).delete()
if not deleted or row.expires_at <= datetime.now(timezone.utc):
return None
return row.pkce_verifier
+40 -37
View File
@@ -1,21 +1,20 @@
import os
import logging
import asyncio
import functools
import time
from collections import defaultdict
from quart import Blueprint, request, jsonify, abort
from quart import Blueprint, request, abort
from twilio.request_validator import RequestValidator
from twilio.twiml.messaging_response import MessagingResponse
from blueprints.users.models import User
from blueprints.conversation.logic import (
get_conversation_for_user,
get_agent_for,
get_conversation_for_channel,
add_message_to_conversation,
get_conversation_transcript,
persist_agent_tool_messages,
)
from blueprints.conversation.agents import main_agent
from blueprints.conversation.prompts import SIMBA_SYSTEM_PROMPT
from utils.strip_markdown import extract_agent_text
whatsapp_blueprint = Blueprint("whatsapp_api", __name__, url_prefix="/api/whatsapp")
@@ -69,6 +68,7 @@ def validate_twilio_request(f):
so the validated URL matches what Twilio signed against.
Set TWILIO_SIGNATURE_VALIDATION=false to disable in development.
"""
@functools.wraps(f)
async def decorated_function(*args, **kwargs):
if os.getenv("TWILIO_SIGNATURE_VALIDATION", "true").lower() == "false":
@@ -94,6 +94,7 @@ def validate_twilio_request(f):
abort(403)
return await f(*args, **kwargs)
return decorated_function
@@ -104,11 +105,15 @@ async def webhook():
Handle incoming WhatsApp messages from Twilio.
"""
form_data = await request.form
from_number = form_data.get("From") # e.g., "whatsapp:+1234567890"
from_number = form_data.get("From") # e.g., "whatsapp:+1234567890"
body = form_data.get("Body")
if not from_number or not body:
return _twiml_response("Invalid message received.") if from_number else ("Missing From or Body", 400)
return (
_twiml_response("Invalid message received.")
if from_number
else ("Missing From or Body", 400)
)
# Strip whitespace and check for empty body
body = body.strip()
@@ -118,12 +123,16 @@ async def webhook():
# Rate limiting
if not _check_rate_limit(from_number):
logger.warning(f"Rate limit exceeded for {from_number}")
return _twiml_response("You're sending messages too quickly. Please wait a moment and try again.")
return _twiml_response(
"You're sending messages too quickly. Please wait a moment and try again."
)
# Truncate overly long messages
if len(body) > MAX_MESSAGE_LENGTH:
body = body[:MAX_MESSAGE_LENGTH]
logger.info(f"Truncated long message from {from_number} to {MAX_MESSAGE_LENGTH} chars")
logger.info(
f"Truncated long message from {from_number} to {MAX_MESSAGE_LENGTH} chars"
)
logger.info(f"Received WhatsApp message from {from_number}: {body[:100]}")
@@ -143,17 +152,18 @@ async def webhook():
username=username,
email=f"{username}@whatsapp.simbarag.local",
whatsapp_number=from_number,
auth_provider="whatsapp"
auth_provider="whatsapp",
)
logger.info(f"Created new user for WhatsApp: {username}")
except Exception as e:
logger.error(f"Failed to create user for {from_number}: {e}")
return _twiml_response("Sorry, something went wrong setting up your account. Please try again later.")
return _twiml_response(
"Sorry, something went wrong setting up your account. Please try again later."
)
# Get or create a conversation for this user
try:
conversation = await get_conversation_for_user(user=user)
await conversation.fetch_related("messages")
conversation = await get_conversation_for_channel(user=user, channel="whatsapp")
except Exception as e:
logger.error(f"Failed to get conversation for user {user.username}: {e}")
return _twiml_response("Sorry, something went wrong. Please try again later.")
@@ -166,30 +176,23 @@ async def webhook():
user=user,
)
# Get transcript for context
transcript = await get_conversation_transcript(user=user, conversation=conversation)
# Build messages payload for LangChain agent with system prompt and conversation history
try:
# Get last 10 messages for conversation history
messages = await conversation.messages.all()
recent_messages = list(messages)[-10:]
# Build messages payload
messages_payload = [{"role": "system", "content": SIMBA_SYSTEM_PROMPT}]
# Add recent conversation history (exclude the message we just added)
for msg in recent_messages[:-1]:
role = "user" if msg.speaker == "user" else "assistant"
messages_payload.append({"role": role, "content": msg.text})
# Add current query
messages_payload.append({"role": "user", "content": body})
# Invoke LangChain agent
logger.info(f"Invoking LangChain agent with {len(messages_payload)} messages")
response = await main_agent.ainvoke({"messages": messages_payload})
response_text = response.get("messages", [])[-1].content
agent_config = {
"configurable": {
"user_id": str(user.id),
"is_admin": user.is_admin(),
"thread_id": str(conversation.id),
}
}
logger.info(f"Invoking LangChain agent for conversation {conversation.id}")
response = await get_agent_for(user).ainvoke(
{"messages": [{"role": "user", "content": body}]},
config=agent_config,
)
response_text = extract_agent_text(response.get("messages", [])[-1].content)
await persist_agent_tool_messages(
conversation, user, response.get("messages", [])
)
# Log YNAB availability
if os.getenv("YNAB_ACCESS_TOKEN"):
+1
View File
@@ -0,0 +1 @@
"""YNAB budget mirror: Postgres models, delta sync, and agent tools."""
+22
View File
@@ -0,0 +1,22 @@
"""Run one YNAB sync: ``python -m blueprints.ynab [--full]``."""
import asyncio
import sys
from tortoise import Tortoise
from config.db import TORTOISE_CONFIG
from .sync import sync_ynab
async def main(full: bool) -> None:
await Tortoise.init(config=TORTOISE_CONFIG)
try:
print(await sync_ynab(full=full))
finally:
await Tortoise.close_connections()
if __name__ == "__main__":
asyncio.run(main(full="--full" in sys.argv))
+173
View File
@@ -0,0 +1,173 @@
"""Local Postgres mirror of the YNAB budget.
Rows are keyed by YNAB's own ids and kept current by ``blueprints.ynab.sync``
using YNAB delta requests. Money is stored in dollars with 3 decimal places,
which is exactly YNAB's milliunits. Deleted YNAB entities are kept with
``deleted=True`` rather than removed.
"""
from tortoise import fields
from tortoise.models import Model
def money(**kwargs):
return fields.DecimalField(max_digits=15, decimal_places=3, **kwargs)
class YnabAccount(Model):
id = fields.CharField(max_length=36, primary_key=True)
name = fields.CharField(max_length=255)
type = fields.CharField(max_length=50)
on_budget = fields.BooleanField()
closed = fields.BooleanField()
note = fields.TextField(null=True)
balance = money()
cleared_balance = money()
uncleared_balance = money()
last_reconciled_at = fields.DatetimeField(null=True)
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_accounts"
class YnabPayee(Model):
id = fields.CharField(max_length=36, primary_key=True)
name = fields.CharField(max_length=500)
transfer_account_id = fields.CharField(max_length=36, null=True)
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_payees"
class YnabCategoryGroup(Model):
id = fields.CharField(max_length=36, primary_key=True)
name = fields.CharField(max_length=255)
hidden = fields.BooleanField()
internal = fields.BooleanField(default=False)
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_category_groups"
class YnabCategory(Model):
id = fields.CharField(max_length=36, primary_key=True)
category_group_id = fields.CharField(max_length=36, db_index=True)
name = fields.CharField(max_length=255)
hidden = fields.BooleanField()
internal = fields.BooleanField(default=False)
note = fields.TextField(null=True)
goal_type = fields.CharField(max_length=20, null=True)
goal_target = money(null=True)
goal_target_month = fields.DateField(null=True)
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_categories"
class YnabMonth(Model):
# ISO month start, e.g. "2026-10-01"
id = fields.CharField(max_length=10, primary_key=True)
month = fields.DateField(db_index=True)
note = fields.TextField(null=True)
income = money()
budgeted = money()
activity = money()
to_be_budgeted = money()
age_of_money = fields.IntField(null=True)
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_months"
class YnabMonthCategory(Model):
"""Per-month category amounts. ``budgeted`` is what YNAB calls "Assigned"."""
# "<month>:<category_id>"
id = fields.CharField(max_length=47, primary_key=True)
month = fields.DateField(db_index=True)
category_id = fields.CharField(max_length=36, db_index=True)
budgeted = money()
activity = money()
balance = money()
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_month_categories"
class YnabTransaction(Model):
id = fields.CharField(max_length=64, primary_key=True)
date = fields.DateField(db_index=True)
amount = money()
memo = fields.TextField(null=True)
cleared = fields.CharField(max_length=20)
approved = fields.BooleanField()
flag_color = fields.CharField(max_length=20, null=True)
account_id = fields.CharField(max_length=36, db_index=True)
payee_id = fields.CharField(max_length=36, null=True, db_index=True)
category_id = fields.CharField(max_length=36, null=True, db_index=True)
transfer_account_id = fields.CharField(max_length=36, null=True)
import_payee_name = fields.CharField(max_length=500, null=True)
# Denormalized from payees/categories/accounts after each sync for easy querying
account_name = fields.CharField(max_length=255, null=True)
payee_name = fields.CharField(max_length=500, null=True)
category_name = fields.CharField(max_length=255, null=True)
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_transactions"
class YnabSubtransaction(Model):
"""Lines of a split transaction; the parent's category is "Split"."""
id = fields.CharField(max_length=64, primary_key=True)
transaction_id = fields.CharField(max_length=64, db_index=True)
amount = money()
memo = fields.TextField(null=True)
payee_id = fields.CharField(max_length=36, null=True)
category_id = fields.CharField(max_length=36, null=True, db_index=True)
transfer_account_id = fields.CharField(max_length=36, null=True)
deleted = fields.BooleanField(default=False)
class Meta:
table = "ynab_subtransactions"
class YnabChange(Model):
"""Append-only log of what each sync changed, built by diffing against the mirror.
YNAB's API has no history, so this is the only record of edits (e.g. an
assignment going from $400 to $500). It starts at the first sync.
"""
id = fields.BigIntField(primary_key=True)
synced_at = fields.DatetimeField(auto_now_add=True, db_index=True)
server_knowledge = fields.BigIntField()
entity_type = fields.CharField(max_length=30, db_index=True)
entity_id = fields.CharField(max_length=64, db_index=True)
# created / updated / deleted
action = fields.CharField(max_length=10)
label = fields.CharField(max_length=500)
# {field: [old, new]}; for "created", old is null
changes = fields.JSONField()
class Meta:
table = "ynab_changes"
class YnabSyncState(Model):
budget_id = fields.CharField(max_length=64, primary_key=True)
budget_name = fields.CharField(max_length=255, null=True)
server_knowledge = fields.BigIntField(null=True)
last_synced_at = fields.DatetimeField(null=True)
last_full_sync_at = fields.DatetimeField(null=True)
last_error = fields.TextField(null=True)
class Meta:
table = "ynab_sync_state"
+172
View File
@@ -0,0 +1,172 @@
"""Admin-only read-only SQL over the YNAB mirror tables.
Defense in depth: the query is parsed and must be a single SELECT touching
only ``ynab_*`` tables with no dangerous functions, then runs in a READ ONLY
transaction with a statement timeout and a row cap.
"""
import re
from decimal import Decimal
import sqlglot
from langchain_core.runnables import RunnableConfig
from langchain.tools import tool
from sqlglot import exp
from sqlglot.optimizer.scope import traverse_scope
from tortoise.transactions import in_transaction
from utils.mcp_tools import admin_only_message
from . import models
from .sync import ensure_fresh
from .tools import NOT_SYNCED, ynab_tool_errors
MAX_ROWS = 100
# Tool results are cut at 4000 chars in blueprints/conversation/logic.py
MAX_OUTPUT_CHARS = 3800
STATEMENT_TIMEOUT = "10s"
ALLOWED_TABLES = frozenset(
m._meta.db_table
for m in vars(models).values()
if isinstance(m, type) and issubclass(m, models.Model) and m is not models.Model
)
FORBIDDEN_NODES = (
exp.Insert,
exp.Update,
exp.Delete,
exp.Merge,
exp.Create,
exp.Drop,
exp.Alter,
exp.Command,
exp.Into,
)
FORBIDDEN_FUNCTIONS = re.compile(
r"^(pg_|lo_|dblink|set_config|current_setting|"
r"(query|table|cursor|schema|database)_to_xml|txid_|nextval|setval)",
re.IGNORECASE,
)
def validate_sql(query: str) -> str | None:
"""Return an error message if ``query`` isn't allowed, else None."""
return _check(query)[0]
def _check(query: str) -> tuple[str | None, str | None]:
"""Validate ``query``; return ``(error, sql_to_run)``.
The SQL that runs is regenerated from the validated parse tree (minus
comments), so Postgres executes exactly what was checked.
"""
try:
statements = [
s
for s in sqlglot.parse(query, read="postgres")
# a trailing "; -- comment" parses as a bare Semicolon
if s and not isinstance(s, exp.Semicolon)
]
except sqlglot.errors.SqlglotError as e:
return f"Could not parse SQL: {e}", None
if len(statements) != 1:
return "Exactly one SQL statement is allowed.", None
root = statements[0]
if not isinstance(root, exp.Query):
return "Only SELECT queries are allowed.", None
if root.find(*FORBIDDEN_NODES) or any(
s.args.get("locks") for s in root.find_all(exp.Select)
):
return "Only read-only SELECT queries are allowed.", None
# A name matching a CTE isn't necessarily a CTE reference (e.g. inside the
# CTE's own body, or outside the scope that defines it), so resolve each
# FROM source through sqlglot's scopes. Any table node that isn't a CTE
# name at all is checked too, in case scope analysis misses a construct.
try:
scopes = traverse_scope(root)
except Exception as e:
return f"Could not analyze SQL: {e}", None
cte_names = {cte.alias_or_name for cte in root.find_all(exp.CTE)}
tables = [
source
for scope in scopes
for source in scope.sources.values()
if isinstance(source, exp.Table)
]
tables += [t for t in root.find_all(exp.Table) if t.name not in cte_names]
for table in tables:
if isinstance(table.this, exp.Func): # e.g. generate_series(...)
continue
if table.catalog or table.db not in ("", "public"):
return f"Schema-qualified table '{table.sql()}' is not allowed.", None
if table.name not in ALLOWED_TABLES:
return (
f"Table '{table.name}' is not allowed. "
f"Available: {', '.join(sorted(ALLOWED_TABLES))}",
None,
)
for func in root.find_all(exp.Func):
name = func.name if isinstance(func, exp.Anonymous) else func.sql_name()
if FORBIDDEN_FUNCTIONS.match(name or ""):
return f"Function '{name}' is not allowed.", None
return None, root.sql(dialect="postgres", comments=False).rstrip("; ")
def _format_value(value) -> str:
if value is None:
return ""
if isinstance(value, Decimal):
value = (
format(value.normalize(), "f") if value == value.to_integral() else value
)
return str(value).replace("\t", " ").replace("\n", " ")
def format_rows(columns: list[str], rows: list[tuple]) -> str:
if not rows:
return "Query returned no rows."
lines = ["\t".join(columns)]
lines += ["\t".join(_format_value(v) for v in row) for row in rows]
text = "\n".join(lines)
if len(text) > MAX_OUTPUT_CHARS:
text = text[:MAX_OUTPUT_CHARS] + "\n...(output truncated; aggregate more)"
elif len(rows) == MAX_ROWS:
text += f"\n(capped at {MAX_ROWS} rows; aggregate or add LIMIT)"
return text
@tool
@ynab_tool_errors
async def ynab_sql(query: str, config: RunnableConfig) -> str:
"""Run a read-only Postgres SELECT over the YNAB mirror for questions the other YNAB tools can't answer. Tables: ynab_transactions (date, amount, payee_name, category_name, account_name, memo, transfer_account_id, deleted), ynab_subtransactions (split lines), ynab_accounts, ynab_categories, ynab_category_groups, ynab_payees, ynab_months, ynab_month_categories (month, category_id, budgeted=assigned, activity, balance=available), ynab_changes (edit history: synced_at, entity_type, action, label, changes JSON). Amounts are dollars; outflows negative. Filter NOT deleted.
Args:
query: A single PostgreSQL SELECT statement
"""
if not (config or {}).get("configurable", {}).get("is_admin"):
return admin_only_message("YNAB SQL")
error, sql = _check(query)
if error:
return error
if await ensure_fresh() is None:
return NOT_SYNCED
try:
async with in_transaction() as conn:
await conn.execute_query("SET TRANSACTION READ ONLY")
await conn.execute_query(
f"SET LOCAL statement_timeout = '{STATEMENT_TIMEOUT}'"
)
# Raw records rather than dicts, which would merge same-named
# columns (e.g. c.name and g.name)
_, records = await conn.execute_query(
f"SELECT * FROM ({sql}) AS q LIMIT {MAX_ROWS}"
)
except Exception as e:
return f"SQL error: {e}"
columns = list(records[0].keys()) if records else []
return format_rows(columns, [tuple(r.values()) for r in records])
+640
View File
@@ -0,0 +1,640 @@
"""Sync the YNAB budget into the local Postgres mirror.
YNAB has no event feed, but every budget response carries a
``server_knowledge`` counter; passing it back as ``last_knowledge_of_server``
returns only entities changed since then. The first sync downloads the whole
budget, later syncs are deltas, and a full resync runs once a day as a safety
net (deltas can't express things like month rollovers).
Each sync diffs incoming entities against the mirror and appends what changed
to ``ynab_changes``, which is the only history of edits we get.
"""
import asyncio
import logging
import os
import time
from dataclasses import dataclass
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal
from typing import Any, Callable
from tortoise.models import Model
from tortoise.transactions import in_transaction
from utils.ynab_service import YNABService
from .models import (
YnabAccount,
YnabCategory,
YnabCategoryGroup,
YnabChange,
YnabMonth,
YnabMonthCategory,
YnabPayee,
YnabSubtransaction,
YnabSyncState,
YnabTransaction,
)
logger = logging.getLogger(__name__)
FULL_RESYNC_INTERVAL = timedelta(hours=24)
# After a failed sync, tools answer from the mirror without retrying YNAB
FAILURE_BACKOFF_SECONDS = 60
# Cap on rows passed to a single ``id IN (...)`` lookup
LOOKUP_CHUNK = 2000
_sync_lock = asyncio.Lock()
_last_failure = float("-inf")
def ynab_configured() -> bool:
return bool(os.getenv("YNAB_ACCESS_TOKEN"))
# YNAB accepts these in place of a budget id; they can point at different
# budgets over time, so the mirror resolves them once and keeps the real id
BUDGET_ID_ALIASES = ("last-used", "default")
def _configured_budget_id() -> str | None:
"""YNAB_BUDGET_ID if it names a specific budget, else None."""
budget_id = os.getenv("YNAB_BUDGET_ID", "").strip()
return None if budget_id in ("", *BUDGET_ID_ALIASES) else budget_id
def _money(milliunits: int | None) -> Decimal | None:
return None if milliunits is None else Decimal(milliunits).scaleb(-3)
def _date(value: str | None) -> date | None:
return date.fromisoformat(value) if value else None
def _datetime(value: str | None) -> datetime | None:
if not value:
return None
return datetime.fromisoformat(value.replace("Z", "+00:00"))
def _norm(value: Any) -> Any:
"""Normalize values so DB rows and freshly mapped rows compare equal."""
if isinstance(value, datetime) and value.tzinfo is None:
return value.replace(tzinfo=timezone.utc)
return value
def _jsonable(value: Any) -> Any:
if isinstance(value, Decimal):
return float(value)
if isinstance(value, (date, datetime)):
return value.isoformat()
return value
def _map_account(a: dict) -> dict:
return {
"id": a["id"],
"name": a["name"],
"type": a["type"],
"on_budget": a["on_budget"],
"closed": a["closed"],
"note": a.get("note"),
"balance": _money(a["balance"]),
"cleared_balance": _money(a["cleared_balance"]),
"uncleared_balance": _money(a["uncleared_balance"]),
"last_reconciled_at": _datetime(a.get("last_reconciled_at")),
"deleted": a["deleted"],
}
def _map_payee(p: dict) -> dict:
return {
"id": p["id"],
"name": p["name"],
"transfer_account_id": p.get("transfer_account_id"),
"deleted": p["deleted"],
}
def _map_category_group(g: dict) -> dict:
return {
"id": g["id"],
"name": g["name"],
"hidden": g["hidden"],
"internal": g.get("internal") or False,
"deleted": g["deleted"],
}
def _map_category(c: dict) -> dict:
return {
"id": c["id"],
"category_group_id": c["category_group_id"],
"name": c["name"],
"hidden": c["hidden"],
"internal": c.get("internal") or False,
"note": c.get("note"),
"goal_type": c.get("goal_type"),
"goal_target": _money(c.get("goal_target")),
"goal_target_month": _date(c.get("goal_target_month")),
"deleted": c["deleted"],
}
def _map_month(m: dict) -> dict:
return {
"id": m["month"],
"month": _date(m["month"]),
"note": m.get("note"),
"income": _money(m["income"]),
"budgeted": _money(m["budgeted"]),
"activity": _money(m["activity"]),
"to_be_budgeted": _money(m["to_be_budgeted"]),
"age_of_money": m.get("age_of_money"),
"deleted": m["deleted"],
}
def _map_month_category(c: dict) -> dict:
return {
"id": f"{c['month']}:{c['id']}",
"month": _date(c["month"]),
"category_id": c["id"],
"budgeted": _money(c["budgeted"]),
"activity": _money(c["activity"]),
"balance": _money(c["balance"]),
"deleted": c["deleted"],
}
def _map_transaction(t: dict) -> dict:
return {
"id": t["id"],
"date": _date(t["date"]),
"amount": _money(t["amount"]),
"memo": t.get("memo"),
"cleared": t["cleared"],
"approved": t["approved"],
"flag_color": t.get("flag_color"),
"account_id": t["account_id"],
"payee_id": t.get("payee_id"),
"category_id": t.get("category_id"),
"transfer_account_id": t.get("transfer_account_id"),
"import_payee_name": t.get("import_payee_name"),
"deleted": t["deleted"],
}
def _map_subtransaction(s: dict) -> dict:
return {
"id": s["id"],
"transaction_id": s["transaction_id"],
"amount": _money(s["amount"]),
"memo": s.get("memo"),
"payee_id": s.get("payee_id"),
"category_id": s.get("category_id"),
"transfer_account_id": s.get("transfer_account_id"),
"deleted": s["deleted"],
}
# Filled in from payees/categories/accounts after each sync, not from YNAB
DENORMALIZED_FIELDS = ("account_name", "payee_name", "category_name")
@dataclass
class EntitySpec:
entity_type: str
model: type[Model]
mapper: Callable[[dict], dict]
# Fields worth recording in the change log. Derived fields (balances,
# activity) change with every transaction and would drown out real edits.
logged_fields: tuple[str, ...]
def _fields(model: type[Model], exclude: tuple[str, ...] = ()) -> tuple[str, ...]:
return tuple(f for f in model._meta.fields_map if f != "id" and f not in exclude)
SPECS = {
"accounts": EntitySpec(
"account",
YnabAccount,
_map_account,
("name", "type", "on_budget", "closed", "note", "deleted"),
),
"payees": EntitySpec("payee", YnabPayee, _map_payee, ("name", "deleted")),
"category_groups": EntitySpec(
"category_group",
YnabCategoryGroup,
_map_category_group,
("name", "hidden", "deleted"),
),
"categories": EntitySpec(
"category", YnabCategory, _map_category, _fields(YnabCategory)
),
"months": EntitySpec("month", YnabMonth, _map_month, ("note",)),
"month_categories": EntitySpec(
"month_category", YnabMonthCategory, _map_month_category, ("budgeted",)
),
"transactions": EntitySpec(
"transaction",
YnabTransaction,
_map_transaction,
_fields(YnabTransaction, exclude=DENORMALIZED_FIELDS),
),
"subtransactions": EntitySpec(
"subtransaction",
YnabSubtransaction,
_map_subtransaction,
_fields(YnabSubtransaction),
),
}
def _budget_entities(budget: dict) -> dict[str, list[dict]]:
"""Split a budget payload into raw entity lists keyed like ``SPECS``."""
month_categories = [
{**c, "month": m["month"]}
for m in budget.get("months") or []
for c in m.get("categories") or []
]
return {
"accounts": budget.get("accounts") or [],
"payees": budget.get("payees") or [],
"category_groups": budget.get("category_groups") or [],
"categories": budget.get("categories") or [],
"months": budget.get("months") or [],
"month_categories": month_categories,
"transactions": budget.get("transactions") or [],
"subtransactions": budget.get("subtransactions") or [],
}
# Id fields that reference a named entity (account, payee, category, group);
# the change log records these by name
NAMED_ID_FIELDS = (
"account_id",
"payee_id",
"category_id",
"category_group_id",
"transfer_account_id",
)
class _Labeler:
"""Resolves ids to names for change log labels and diffs."""
def __init__(self, names: dict[str, str]):
self.names = names
def name(self, entity_id: str | None) -> str | None:
return None if entity_id is None else self.names.get(entity_id, entity_id)
def __call__(self, entity_type: str, row: dict) -> str:
if entity_type == "transaction":
payee = self.name(row.get("payee_id")) or row.get("import_payee_name") or ""
return f"{row['date']} {payee} {row['amount']:+.2f}"
if entity_type == "subtransaction":
category = self.name(row.get("category_id")) or ""
return f"split line {category} {row['amount']:+.2f}"
if entity_type == "month_category":
return f"{self.name(row['category_id'])} {row['month']:%Y-%m}"
if entity_type == "month":
return row["id"][:7]
return row.get("name") or row["id"]
def diff_entry(self, field: str, old: Any, new: Any) -> tuple[str, list]:
"""Log e.g. ``category_id`` changes as ``category`` names, not ids."""
if field in NAMED_ID_FIELDS:
return field.removesuffix("_id"), [self.name(old), self.name(new)]
return field, [_jsonable(old), _jsonable(new)]
async def _load_names(conn) -> dict[str, str]:
names: dict[str, str] = {}
for model in (YnabAccount, YnabPayee, YnabCategory, YnabCategoryGroup):
for row in await model.all().using_db(conn).values("id", "name"):
names[row["id"]] = row["name"]
return names
async def _fetch_existing(spec: EntitySpec, ids: list[str], conn, fields) -> dict:
existing: dict[str, dict] = {}
for i in range(0, len(ids), LOOKUP_CHUNK):
rows = (
await spec.model.filter(id__in=ids[i : i + LOOKUP_CHUNK])
.using_db(conn)
.values("id", *fields)
)
existing.update({row["id"]: row for row in rows})
return existing
async def _apply(
spec: EntitySpec,
raw_rows: list[dict],
conn,
server_knowledge: int,
log_changes: bool,
labeler: _Labeler,
complete: bool = False,
) -> int:
"""Upsert rows that differ from the mirror; return how many changed.
``complete`` means ``raw_rows`` is every live entity of this type (a full
download). Full downloads omit deleted entities, so mirror rows missing
from it are marked deleted here; otherwise deletions that happened right
before a full sync would never reach the mirror.
"""
incoming = {row["id"]: row for row in map(spec.mapper, raw_rows)}
# Only YNAB-sourced columns; denormalized names are filled in afterwards
field_names = tuple(f for f in _fields(spec.model) if f not in DENORMALIZED_FIELDS)
existing = await _fetch_existing(spec, list(incoming), conn, field_names)
to_write: list[Model] = []
changes: list[YnabChange] = []
def log(entity_id: str, action: str, diff: dict, row: dict) -> None:
changes.append(
YnabChange(
server_knowledge=server_knowledge,
entity_type=spec.entity_type,
entity_id=entity_id,
action=action,
label=labeler(spec.entity_type, row)[:500],
changes=diff,
)
)
for entity_id, new in incoming.items():
old = existing.get(entity_id)
if old is not None and all(_norm(old[f]) == _norm(new[f]) for f in field_names):
continue
to_write.append(spec.model(**new))
if not log_changes or not spec.logged_fields:
continue
if old is None:
# Created and deleted between two syncs: nothing worth logging
if new.get("deleted"):
continue
diff = dict(
labeler.diff_entry(f, None, new[f])
for f in spec.logged_fields
if new[f] is not None
)
# e.g. a month rollover creates every category's month row with
# nothing assigned; that's not an edit anyone made
if not any(values[1] for values in diff.values()):
continue
log(entity_id, "created", diff, new)
else:
diff = dict(
labeler.diff_entry(f, old[f], new[f])
for f in spec.logged_fields
if _norm(old[f]) != _norm(new[f])
)
if diff:
deleted = diff.get("deleted") == [False, True]
log(entity_id, "deleted" if deleted else "updated", diff, new)
removed = 0
if complete:
live_ids = (
await spec.model.filter(deleted=False)
.using_db(conn)
.values_list("id", flat=True)
)
missing = [i for i in live_ids if i not in incoming]
if missing:
if log_changes and "deleted" in spec.logged_fields:
gone = await _fetch_existing(spec, missing, conn, field_names)
for entity_id, row in gone.items():
log(entity_id, "deleted", {"deleted": [False, True]}, row)
for i in range(0, len(missing), LOOKUP_CHUNK):
removed += (
await spec.model.filter(id__in=missing[i : i + LOOKUP_CHUNK])
.using_db(conn)
.update(deleted=True)
)
if to_write:
await spec.model.bulk_create(
to_write,
batch_size=500,
on_conflict=["id"],
update_fields=list(field_names),
using_db=conn,
)
if changes:
await YnabChange.bulk_create(changes, batch_size=500, using_db=conn)
return len(to_write) + removed
DENORMALIZE_SQL = (
"""UPDATE ynab_transactions AS t SET payee_name = p.name FROM ynab_payees p
WHERE t.payee_id = p.id AND t.payee_name IS DISTINCT FROM p.name""",
"""UPDATE ynab_transactions AS t SET category_name = c.name FROM ynab_categories c
WHERE t.category_id = c.id AND t.category_name IS DISTINCT FROM c.name""",
"""UPDATE ynab_transactions AS t SET account_name = a.name FROM ynab_accounts a
WHERE t.account_id = a.id AND t.account_name IS DISTINCT FROM a.name""",
"""UPDATE ynab_transactions SET payee_name = NULL
WHERE payee_id IS NULL AND payee_name IS NOT NULL""",
"""UPDATE ynab_transactions SET category_name = NULL
WHERE category_id IS NULL AND category_name IS NOT NULL""",
)
# Entity types whose changes can affect the denormalized name columns
NAME_SOURCES = ("accounts", "payees", "categories", "transactions")
REFERENCE_KEYS = ("accounts", "payees", "category_groups", "categories")
DATA_KEYS = ("months", "month_categories", "transactions", "subtransactions")
async def apply_budget(
budget: dict,
server_knowledge: int,
conn,
log_changes: bool,
full: bool = False,
) -> dict[str, int]:
"""Write a full or delta budget payload into the mirror.
With ``full``, entity types present in the payload are treated as
complete and anything missing from them is marked deleted.
"""
entities = _budget_entities(budget)
present = {key for key in SPECS if budget.get(key) is not None}
if budget.get("months") is not None:
present.add("month_categories")
labeler = _Labeler({})
if log_changes and any(entities.values()):
labeler.names = await _load_names(conn)
counts: dict[str, int] = {}
for key in REFERENCE_KEYS + DATA_KEYS:
counts[key] = await _apply(
SPECS[key],
entities[key],
conn,
server_knowledge,
log_changes,
labeler,
complete=full and key in present,
)
if key in REFERENCE_KEYS:
# Later labels (e.g. a new payee on a new transaction) need these
labeler.names.update({row["id"]: row["name"] for row in entities[key]})
if any(counts[key] for key in NAME_SOURCES):
for sql in DENORMALIZE_SQL:
await conn.execute_query(sql)
return counts
async def _current_state() -> YnabSyncState | None:
"""The sync state for the mirrored budget.
The mirror holds a single budget, keyed by its real YNAB id. With
``YNAB_BUDGET_ID`` unset or an alias, the first sync resolves "last-used"
and the mirror stays pinned to that budget, so switching budgets in YNAB
can't mix two budgets' rows.
"""
configured = _configured_budget_id()
states = await YnabSyncState.all().order_by("budget_id")
ids = [s.budget_id for s in states]
if len(ids) > 1 or (configured and ids and ids[0] != configured):
raise ValueError(
f"YNAB mirror holds budget(s) {', '.join(ids)} but YNAB_BUDGET_ID "
f"is {configured or 'unset'}; clear the ynab_* tables to switch budgets"
)
return states[0] if states else None
def _backing_off() -> bool:
return time.monotonic() - _last_failure < FAILURE_BACKOFF_SECONDS
def _is_fresh(state: YnabSyncState | None, max_age_seconds: int) -> bool:
return (
state is not None
and state.last_synced_at is not None
and datetime.now(timezone.utc) - _norm(state.last_synced_at)
<= timedelta(seconds=max_age_seconds)
)
async def sync_ynab(full: bool = False, max_age_seconds: int | None = None) -> dict:
"""Sync YNAB into Postgres. Returns per-entity counts of changed rows.
``max_age_seconds`` (on-demand syncs from tools) skips the sync if the
mirror is already that fresh or YNAB failed recently. Both are checked
under the lock, so parallel tool calls share one sync or one failure.
The YNAB request runs before the DB transaction. An asyncio lock
serializes syncs in this process; a Postgres advisory lock plus a
server_knowledge check discards a payload if the other blue/green
container synced in the meantime.
"""
global _last_failure
async with _sync_lock:
state = await _current_state()
if max_age_seconds is not None and (
_is_fresh(state, max_age_seconds) or _backing_off()
):
return {"skipped": True}
now = datetime.now(timezone.utc)
base_knowledge = state.server_knowledge if state else None
first_sync = base_knowledge is None
full = (
full
or first_sync
or state.last_full_sync_at is None
or now - _norm(state.last_full_sync_at) > FULL_RESYNC_INTERVAL
)
budget_id = state.budget_id if state else _configured_budget_id()
budget_id = budget_id or "last-used"
try:
data = await YNABService().fetch_budget(
budget_id, None if full else base_knowledge
)
budget = data["budget"]
knowledge = data["server_knowledge"]
if state is not None and budget["id"] != state.budget_id:
raise ValueError(
f"YNAB returned budget {budget['id']} for {state.budget_id}"
)
async with in_transaction() as conn:
await conn.execute_query(
"SELECT pg_advisory_xact_lock(hashtext('ynab_sync'))"
)
latest = await YnabSyncState.get_or_none(
budget_id=budget["id"]
).using_db(conn)
if (latest.server_knowledge if latest else None) != base_knowledge:
logger.info("YNAB sync skipped: mirror changed during fetch")
return {"skipped": True}
counts = await apply_budget(
budget, knowledge, conn, log_changes=not first_sync, full=full
)
await YnabSyncState.update_or_create(
budget_id=budget["id"],
defaults={
"budget_name": budget.get("name"),
"server_knowledge": knowledge,
"last_synced_at": now,
"last_error": None,
**({"last_full_sync_at": now} if full else {}),
},
using_db=conn,
)
except Exception as e:
_last_failure = time.monotonic()
if state is not None:
await YnabSyncState.filter(budget_id=state.budget_id).update(
last_error=f"{type(e).__name__}: {e}"[:2000]
)
raise
changed = {k: v for k, v in counts.items() if v}
if changed:
logger.info(f"YNAB {'full' if full else 'delta'} sync @{knowledge}: {changed}")
return {"full": full, "server_knowledge": knowledge, "changed": changed}
async def ensure_fresh(max_age_seconds: int = 120) -> YnabSyncState | None:
"""Sync if the mirror is older than ``max_age_seconds``.
Used by agent tools before answering. A failed sync is logged and the
(possibly stale) mirror is used anyway, and YNAB isn't retried for
``FAILURE_BACKOFF_SECONDS``. Returns None only if the mirror has never
been populated.
"""
state = await _current_state()
if not _is_fresh(state, max_age_seconds) and not _backing_off():
try:
await sync_ynab(max_age_seconds=max_age_seconds)
except Exception:
logger.exception("YNAB sync failed; answering from existing mirror")
state = await _current_state()
if state is None or state.server_knowledge is None:
return None
return state
async def ynab_sync_loop() -> None:
"""Background task: delta-sync YNAB every ``YNAB_SYNC_INTERVAL`` seconds."""
interval = int(os.getenv("YNAB_SYNC_INTERVAL", "900"))
logger.info(f"YNAB sync loop started (interval={interval}s)")
while True:
try:
await sync_ynab()
except Exception:
logger.exception("YNAB sync error")
await asyncio.sleep(interval)
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"""LangChain agent tools that answer YNAB questions from the local mirror.
Every tool calls ``ensure_fresh`` first, which runs a cheap delta sync when
the mirror is more than a couple of minutes old.
"""
import functools
import json
import logging
from datetime import date, datetime, timedelta
from decimal import Decimal
from zoneinfo import ZoneInfo
from langchain.tools import tool
from tortoise import connections
from blueprints.conversation.artifacts_util import (
format_date_range,
format_month,
json_safe,
make_artifact,
)
from .sync import ensure_fresh
logger = logging.getLogger(__name__)
NOT_SYNCED = "YNAB data is unavailable: the budget has not been synced yet."
# Keep in step with TOOL_RESULT_MAX_CHARS in blueprints/conversation/logic.py;
# longer results get truncated there anyway and crowd the 32k context.
MAX_TRANSACTIONS = 40
# Rows in the ynab.transactions artifact (the side panel, not the LLM)
ARTIFACT_MAX_TRANSACTIONS = 500
# ynab_recent_changes accepts the names it prints as well as stored types
ENTITY_TYPE_ALIASES = {
"assignment": "month_category",
"transfer": "transaction",
"split": "subtransaction",
"group": "category_group",
}
ENTITY_TYPES = (
"transaction",
"month",
"subtransaction",
"month_category",
"category",
"category_group",
"payee",
"account",
)
def _singular(word: str) -> str:
if word.endswith("ies"):
return word[:-3] + "y" # categories -> category
return word.removesuffix("s")
def ynab_tool_errors(fn):
"""Return errors to the model as text: LangGraph's ToolNode re-raises
anything else, which would fail the whole chat turn."""
@functools.wraps(fn)
async def wrapper(*args, **kwargs):
try:
return await fn(*args, **kwargs)
except Exception as e:
logger.exception(f"{fn.__name__} failed")
return f"YNAB error in {fn.__name__}: {type(e).__name__}: {e}"
return wrapper
def ynab_artifact_tool(fn):
"""For content_and_artifact tools: errors become (text, None), and bare
strings (not-synced, bad input, empty results) get no artifact."""
wrapped = ynab_tool_errors(fn)
@functools.wraps(fn)
async def wrapper(*args, **kwargs):
result = await wrapped(*args, **kwargs)
return (result, None) if isinstance(result, str) else result
return wrapper
# Every transaction line, with split transactions expanded into their
# subtransactions so category/payee filters see the real allocation.
LINES_CTE = """
WITH lines AS (
SELECT t.id, t.date, t.amount, t.memo, t.cleared, t.approved,
t.account_id, t.account_name, t.payee_name, t.category_id,
t.category_name, t.transfer_account_id
FROM ynab_transactions t
WHERE NOT t.deleted AND NOT EXISTS (
SELECT 1 FROM ynab_subtransactions s
WHERE s.transaction_id = t.id AND NOT s.deleted
)
UNION ALL
SELECT s.id, t.date, s.amount, COALESCE(s.memo, t.memo), t.cleared, t.approved,
t.account_id, t.account_name, COALESCE(sp.name, t.payee_name),
s.category_id, sc.name, s.transfer_account_id
FROM ynab_subtransactions s
JOIN ynab_transactions t ON t.id = s.transaction_id
LEFT JOIN ynab_payees sp ON sp.id = s.payee_id
LEFT JOIN ynab_categories sc ON sc.id = s.category_id
WHERE NOT s.deleted AND NOT t.deleted
)
"""
# Spending = outflows (net of refunds) on budget accounts, excluding transfers
# (credit card payments, moves to savings) and income.
SPENDING_FILTER = """
a.on_budget AND l.transfer_account_id IS NULL
AND NOT COALESCE(c.internal, false)
"""
GROUP_BY_EXPR = {
"category": "COALESCE(l.category_name, 'Uncategorized')",
"category_group": "COALESCE(g.name, 'Uncategorized')",
"payee": "COALESCE(l.payee_name, 'Unknown payee')",
"account": "l.account_name",
"month": "to_char(l.date, 'YYYY-MM')",
}
def _today() -> date:
return datetime.now(ZoneInfo("America/New_York")).date()
def _usd(value: Decimal | float | None) -> str:
value = Decimal(value or 0)
sign = "-" if value < 0 else ""
return f"{sign}${abs(value):,.2f}"
def _amount(value: Decimal | float | None) -> float:
"""Dollar amount for artifacts (JSON has no Decimal)."""
return float(value or 0)
def _parse_date(value: str, default: date | None) -> date | None:
return date.fromisoformat(value) if value else default
def _month_start(month: str) -> date:
if not month:
return _today().replace(day=1)
return date.fromisoformat(month[:7] + "-01")
async def _query(sql: str, *params) -> list[dict]:
return await connections.get("default").execute_query_dict(sql, list(params))
@tool(response_format="content_and_artifact")
@ynab_artifact_tool
async def ynab_budget_summary(month: str = ""):
"""Get YNAB budget overview for a month: Ready to Assign, income, assigned, spent, age of money, overspent categories, and net worth.
Args:
month: YYYY-MM (default: current month)
"""
state = await ensure_fresh()
if state is None:
return NOT_SYNCED
try:
start = _month_start(month)
except ValueError:
return "Month must be YYYY-MM."
months = await _query("SELECT * FROM ynab_months WHERE month = $1", start)
if not months:
return f"No YNAB budget data for {start:%Y-%m}."
m = months[0]
overspent = await _query(
"""SELECT c.name, mc.balance FROM ynab_month_categories mc
JOIN ynab_categories c ON c.id = mc.category_id
WHERE mc.month = $1 AND mc.balance < 0 AND NOT mc.deleted
AND NOT c.deleted AND NOT c.internal
ORDER BY mc.balance""",
start,
)
# YNAB's month "activity" nets in credit card payment categories, which
# go up whenever a card is used, so compute spending from transactions.
next_month = (start.replace(day=28) + timedelta(days=4)).replace(day=1)
spent = await _query(
f"""{LINES_CTE}
SELECT COALESCE(-SUM(l.amount), 0) AS spent FROM lines l
JOIN ynab_accounts a ON a.id = l.account_id
LEFT JOIN ynab_categories c ON c.id = l.category_id
WHERE {SPENDING_FILTER} AND l.date >= $1 AND l.date < $2""",
start,
next_month,
)
accounts = await _query(
"""SELECT on_budget, SUM(balance) AS total FROM ynab_accounts
WHERE NOT deleted AND NOT closed GROUP BY on_budget"""
)
by_budget = {r["on_budget"]: r["total"] for r in accounts}
lines = [
f"YNAB budget '{state.budget_name}' for {start:%Y-%m}:",
f"Ready to Assign: {_usd(m['to_be_budgeted'])}",
f"Income: {_usd(m['income'])}",
f"Assigned: {_usd(m['budgeted'])}",
f"Spent: {_usd(spent[0]['spent'])}",
]
if m["age_of_money"] is not None:
lines.append(f"Age of money: {m['age_of_money']} days")
if overspent:
lines.append(
"Overspent: "
+ ", ".join(f"{r['name']} ({_usd(r['balance'])})" for r in overspent)
)
else:
lines.append("No overspent categories.")
net_worth = sum(by_budget.values(), Decimal(0))
lines.append(
f"Net worth: {_usd(net_worth)} "
f"(budget accounts {_usd(by_budget.get(True))}, "
f"tracking accounts {_usd(by_budget.get(False))})"
)
data = {
"month": f"{start:%Y-%m}",
"ready_to_assign": _amount(m["to_be_budgeted"]),
"income": _amount(m["income"]),
"assigned": _amount(m["budgeted"]),
"spent": _amount(spent[0]["spent"]),
"net_worth": _amount(net_worth),
"overspent": [
{"name": r["name"], "available": _amount(r["balance"])} for r in overspent
],
}
if m["age_of_money"] is not None:
data["age_of_money"] = m["age_of_money"]
artifact = make_artifact(
"ynab.summary", f"Budget · {format_month(data['month'])}", json_safe(data)
)
return "\n".join(lines), artifact
@tool
@ynab_tool_errors
async def ynab_account_balances(include_closed: bool = False) -> str:
"""List YNAB accounts (checking, savings, credit cards, investments) with current balances.
Args:
include_closed: Also list closed accounts
"""
if await ensure_fresh() is None:
return NOT_SYNCED
rows = await _query(
"""SELECT name, type, on_budget, closed, balance, cleared_balance
FROM ynab_accounts WHERE NOT deleted AND (NOT closed OR $1)
ORDER BY on_budget DESC, type, name""",
include_closed,
)
if not rows:
return "No YNAB accounts found."
lines = []
for r in rows:
tags = [r["type"]] + ([] if r["on_budget"] else ["tracking"])
if r["closed"]:
tags.append("closed")
line = f"- {r['name']} [{', '.join(tags)}]: {_usd(r['balance'])}"
if r["cleared_balance"] != r["balance"]:
line += f" (cleared {_usd(r['cleared_balance'])})"
lines.append(line)
total = sum((r["balance"] for r in rows if not r["closed"]), Decimal(0))
return "\n".join(lines) + f"\n\nNet worth (open accounts): {_usd(total)}"
@tool(response_format="content_and_artifact")
@ynab_artifact_tool
async def ynab_search_transactions(
start_date: str = "",
end_date: str = "",
payee: str = "",
category: str = "",
account: str = "",
memo: str = "",
min_amount: float = 0,
max_amount: float = 0,
limit: int = 20,
):
"""Search YNAB transactions. Split transactions are expanded into their category lines.
Args:
start_date: YYYY-MM-DD (default: 30 days ago if no other filter, else all time)
end_date: YYYY-MM-DD (default: today)
payee: Partial match on payee/store name
category: Partial match on category name
account: Partial match on account name
memo: Partial match on memo
min_amount: Minimum absolute dollar amount
max_amount: Maximum absolute dollar amount
limit: Max transactions to list (default 20, max 40)
"""
if await ensure_fresh() is None:
return NOT_SYNCED
has_filter = any([payee, category, account, memo, min_amount, max_amount])
try:
default_start = (
None if has_filter else date.fromordinal(_today().toordinal() - 30)
)
start = _parse_date(start_date, default_start)
end = _parse_date(end_date, _today())
except ValueError:
return "Dates must be YYYY-MM-DD."
conditions, params = ["l.date <= $1"], [end]
def add(condition: str, value) -> None:
params.append(value)
conditions.append(condition.replace("?", f"${len(params)}"))
if start:
add("l.date >= ?", start)
if payee:
add("l.payee_name ILIKE ?", f"%{payee}%")
if category:
add("l.category_name ILIKE ?", f"%{category}%")
if account:
add("l.account_name ILIKE ?", f"%{account}%")
if memo:
add("l.memo ILIKE ?", f"%{memo}%")
if min_amount:
add("abs(l.amount) >= ?", Decimal(str(min_amount)))
if max_amount:
add("abs(l.amount) <= ?", Decimal(str(max_amount)))
where = " AND ".join(conditions)
totals = await _query(
f"""{LINES_CTE}
SELECT count(*) AS n,
COALESCE(SUM(amount) FILTER (WHERE amount < 0), 0) AS outflow,
COALESCE(SUM(amount) FILTER (WHERE amount > 0), 0) AS inflow
FROM lines l WHERE {where}""",
*params,
)
count = totals[0]["n"]
range_text = f"{start or 'the beginning'} to {end}"
if not count:
return f"No transactions found from {range_text}."
limit = min(max(1, limit), MAX_TRANSACTIONS)
# One query feeds both the text (first `limit` rows) and the artifact; the
# id tie-break keeps the order stable regardless of LIMIT.
all_rows = await _query(
f"""{LINES_CTE}
SELECT * FROM lines l WHERE {where}
ORDER BY l.date DESC, abs(l.amount) DESC, l.id
LIMIT {ARTIFACT_MAX_TRANSACTIONS}""",
*params,
)
rows = all_rows[:limit]
lines = [
f"Found {count} transactions from {range_text}. "
f"Outflows {_usd(totals[0]['outflow'])}, inflows {_usd(totals[0]['inflow'])}."
]
for r in rows:
line = (
f"- {r['date']}: {r['payee_name'] or 'Unknown payee'} {_usd(r['amount'])} "
f"({r['category_name'] or 'Uncategorized'}; {r['account_name']})"
)
if r["memo"]:
line += f" — {r['memo']}"
if not r["approved"]:
line += " [unapproved]"
lines.append(line)
if count > len(rows):
lines.append(f"(Showing {len(rows)} most recent of {count})")
transactions = []
for r in all_rows:
txn = {
"date": r["date"],
"payee": r["payee_name"] or "Unknown payee",
"category": r["category_name"] or "Uncategorized",
"account": r["account_name"],
"amount": _amount(r["amount"]),
}
if r["memo"]:
txn["memo"] = r["memo"]
transactions.append(txn)
title_range = format_date_range(str(start), str(end)) if start else f"through {end}"
artifact = make_artifact(
"ynab.transactions",
f"Transactions · {title_range}",
json_safe(
{
"start_date": start,
"end_date": end,
"count": count,
"total": _amount(totals[0]["outflow"] + totals[0]["inflow"]),
"transactions": transactions,
}
),
)
return "\n".join(lines), artifact
@tool(response_format="content_and_artifact")
@ynab_artifact_tool
async def ynab_spending_report(
group_by: str = "category",
start_date: str = "",
end_date: str = "",
category: str = "",
payee: str = "",
top: int = 15,
):
"""Total YNAB spending grouped by category, category_group, payee, account, or month. Use group_by='month' for trends over time.
Args:
group_by: category, category_group, payee, account, or month
start_date: YYYY-MM-DD (default: first of current month)
end_date: YYYY-MM-DD (default: today)
category: Partial match on category name
payee: Partial match on payee name
top: Max groups to list (default 15)
"""
if await ensure_fresh() is None:
return NOT_SYNCED
key = GROUP_BY_EXPR.get(group_by)
if key is None:
return f"group_by must be one of: {', '.join(GROUP_BY_EXPR)}."
try:
start = _parse_date(start_date, _today().replace(day=1))
end = _parse_date(end_date, _today())
except ValueError:
return "Dates must be YYYY-MM-DD."
conditions, params = [SPENDING_FILTER, "l.date >= $1", "l.date <= $2"], [start, end]
if category:
params.append(f"%{category}%")
conditions.append(f"l.category_name ILIKE ${len(params)}")
if payee:
params.append(f"%{payee}%")
conditions.append(f"l.payee_name ILIKE ${len(params)}")
order = "key" if group_by == "month" else "spent DESC"
rows = await _query(
f"""{LINES_CTE}
SELECT {key} AS key, -SUM(l.amount) AS spent, count(*) AS n
FROM lines l
JOIN ynab_accounts a ON a.id = l.account_id
LEFT JOIN ynab_categories c ON c.id = l.category_id
LEFT JOIN ynab_category_groups g ON g.id = c.category_group_id
WHERE {" AND ".join(conditions)}
GROUP BY 1 ORDER BY {order}""",
*params,
)
if not rows:
return f"No spending found from {start} to {end}."
total = sum((r["spent"] for r in rows), Decimal(0))
top = max(1, top)
shown = rows if group_by == "month" else rows[:top]
lines = [f"Spending by {group_by} from {start} to {end}: total {_usd(total)}"]
lines += [f"- {r['key']}: {_usd(r['spent'])} ({r['n']} txns)" for r in shown]
if len(rows) > len(shown):
rest = sum((r["spent"] for r in rows[len(shown) :]), Decimal(0))
lines.append(f"- {len(rows) - len(shown)} others: {_usd(rest)}")
if group_by == "month" and len(rows) > 1:
lines.append(f"Monthly average: {_usd(total / len(rows))}")
artifact = make_artifact(
"ynab.spending_report",
f"Spending by {group_by.replace('_', ' ')} · "
f"{format_date_range(str(start), str(end))}",
json_safe(
{
"start_date": start,
"end_date": end,
"group_by": group_by,
"rows": [
{"key": r["key"], "amount": _amount(r["spent"]), "count": r["n"]}
for r in rows
],
"total": _amount(total),
}
),
)
return "\n".join(lines), artifact
@tool(response_format="content_and_artifact")
@ynab_artifact_tool
async def ynab_category_budget(month: str = "", category_group: str = ""):
"""Get YNAB categories for a month grouped by category group: assigned, activity (negative = spent), available, and goal target. Flags overspending.
Args:
month: YYYY-MM (default: current month)
category_group: Partial match to show only one group
"""
if await ensure_fresh() is None:
return NOT_SYNCED
try:
start = _month_start(month)
except ValueError:
return "Month must be YYYY-MM."
rows = await _query(
"""SELECT g.name AS group_name, c.name, c.goal_target,
mc.budgeted, mc.activity, mc.balance
FROM ynab_month_categories mc
JOIN ynab_categories c ON c.id = mc.category_id
JOIN ynab_category_groups g ON g.id = c.category_group_id
WHERE mc.month = $1 AND NOT mc.deleted
AND NOT c.deleted AND NOT c.hidden AND NOT c.internal
AND NOT g.deleted AND NOT g.hidden
AND g.name ILIKE $2
ORDER BY g.name, c.name""",
start,
f"%{category_group}%",
)
if not rows:
return f"No YNAB category data for {start:%Y-%m}."
lines = [f"Categories for {start:%Y-%m}:"]
current = None
groups = []
for r in rows:
if not (r["budgeted"] or r["activity"] or r["balance"]):
continue
if r["group_name"] != current:
current = r["group_name"]
lines.append(f"\n{current}")
groups.append({"name": current, "categories": []})
category = {
"name": r["name"],
"assigned": _amount(r["budgeted"]),
"activity": _amount(r["activity"]),
"available": _amount(r["balance"]),
}
if r["goal_target"]:
category["goal_target"] = _amount(r["goal_target"])
groups[-1]["categories"].append(category)
line = (
f" {r['name']}: assigned {_usd(r['budgeted'])}, "
f"activity {_usd(r['activity'])}, available {_usd(r['balance'])}"
)
if r["goal_target"]:
line += f", goal {_usd(r['goal_target'])}"
if r["balance"] < 0:
line += " [OVERSPENT]"
lines.append(line)
artifact = None
if groups:
artifact = make_artifact(
"ynab.category_budget",
f"Category budget · {format_month(f'{start:%Y-%m}')}",
json_safe({"month": f"{start:%Y-%m}", "groups": groups}),
)
return "\n".join(lines), artifact
@tool
@ynab_tool_errors
async def ynab_recent_changes(days: int = 7, entity_type: str = "") -> str:
"""Show what changed in YNAB recently: new/edited/deleted transactions, assignment changes, renamed categories or payees.
Args:
days: Look back this many days (default 7)
entity_type: Optional filter: transaction, assignment, category, payee, account, month
"""
if await ensure_fresh() is None:
return NOT_SYNCED
entity_type = _singular(entity_type.strip().lower().replace(" ", "_"))
entity_type = ENTITY_TYPE_ALIASES.get(entity_type, entity_type)
if entity_type and entity_type not in ENTITY_TYPES:
return f"Unknown entity_type '{entity_type}'. Use one of: transaction, assignment, category, category_group, payee, account, month."
rows = await _query(
"""SELECT synced_at, entity_type, action, label, changes FROM ynab_changes
WHERE synced_at >= now() - make_interval(days => $1)
AND ($2 = '' OR entity_type = $2)
ORDER BY id DESC LIMIT 40""",
max(1, days),
entity_type,
)
if not rows:
return f"No YNAB changes recorded in the last {days} days."
lines = []
for r in rows:
when = r["synced_at"].astimezone(ZoneInfo("America/New_York"))
changes = r["changes"]
if isinstance(changes, str):
changes = json.loads(changes)
if r["action"] == "updated":
detail = "; ".join(
f"{field}: {old} → {new}" for field, (old, new) in changes.items()
)
else:
detail = ""
entity = r["entity_type"].replace("month_category", "assignment")
line = f"- {when:%Y-%m-%d %H:%M} {r['action']} {entity} '{r['label']}'"
lines.append(line + (f": {detail}" if detail else ""))
note = " (newest 40)" if len(rows) == 40 else ""
return f"YNAB changes in the last {days} days{note}:\n" + "\n".join(lines)
YNAB_TOOLS = [
ynab_budget_summary,
ynab_account_balances,
ynab_search_transactions,
ynab_spending_report,
ynab_category_budget,
ynab_recent_changes,
]
+5
View File
@@ -16,6 +16,11 @@ TORTOISE_CONFIG = {
"blueprints.conversation.models",
"blueprints.users.models",
"blueprints.email.models",
"blueprints.scheduled_messages.models",
"blueprints.cron.models",
"blueprints.beli.models",
"blueprints.artifacts.models",
"blueprints.ynab.models",
"aerich.models",
],
"default_connection": "default",
+3
View File
@@ -0,0 +1,3 @@
node_modules/
src-tauri/target/
src-tauri/gen/
+232
View File
@@ -0,0 +1,232 @@
{
"name": "simba-desktop",
"version": "0.1.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "simba-desktop",
"version": "0.1.0",
"devDependencies": {
"@tauri-apps/cli": "^2.12.2"
}
},
"node_modules/@tauri-apps/cli": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli/-/cli-2.12.2.tgz",
"integrity": "sha512-PMSppzAnlT+BvZtRKuidxjRSm2r5t8kDpJ/czmmQUa0AtDNTwrjLE8vApK3phCWGg7isfnYL46Dl1jB4ArI0hA==",
"dev": true,
"license": "Apache-2.0 OR MIT",
"bin": {
"tauri": "tauri.js"
},
"engines": {
"node": ">= 10"
},
"funding": {
"type": "opencollective",
"url": "https://opencollective.com/tauri"
},
"optionalDependencies": {
"@tauri-apps/cli-darwin-arm64": "2.12.2",
"@tauri-apps/cli-darwin-x64": "2.12.2",
"@tauri-apps/cli-linux-arm-gnueabihf": "2.12.2",
"@tauri-apps/cli-linux-arm64-gnu": "2.12.2",
"@tauri-apps/cli-linux-arm64-musl": "2.12.2",
"@tauri-apps/cli-linux-riscv64-gnu": "2.12.2",
"@tauri-apps/cli-linux-x64-gnu": "2.12.2",
"@tauri-apps/cli-linux-x64-musl": "2.12.2",
"@tauri-apps/cli-win32-arm64-msvc": "2.12.2",
"@tauri-apps/cli-win32-ia32-msvc": "2.12.2",
"@tauri-apps/cli-win32-x64-msvc": "2.12.2"
}
},
"node_modules/@tauri-apps/cli-darwin-arm64": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-darwin-arm64/-/cli-darwin-arm64-2.12.2.tgz",
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"cpu": [
"arm64"
],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": ">= 10"
}
},
"node_modules/@tauri-apps/cli-darwin-x64": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-darwin-x64/-/cli-darwin-x64-2.12.2.tgz",
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"optional": true,
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"engines": {
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}
},
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"cpu": [
"arm"
],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 10"
}
},
"node_modules/@tauri-apps/cli-linux-arm64-gnu": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-linux-arm64-gnu/-/cli-linux-arm64-gnu-2.12.2.tgz",
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"cpu": [
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"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
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],
"engines": {
"node": ">= 10"
}
},
"node_modules/@tauri-apps/cli-linux-arm64-musl": {
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"cpu": [
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],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 10"
}
},
"node_modules/@tauri-apps/cli-linux-riscv64-gnu": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-linux-riscv64-gnu/-/cli-linux-riscv64-gnu-2.12.2.tgz",
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"cpu": [
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],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 10"
}
},
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"optional": true,
"os": [
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"engines": {
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}
},
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"cpu": [
"x64"
],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 10"
}
},
"node_modules/@tauri-apps/cli-win32-arm64-msvc": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-win32-arm64-msvc/-/cli-win32-arm64-msvc-2.12.2.tgz",
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"cpu": [
"arm64"
],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": ">= 10"
}
},
"node_modules/@tauri-apps/cli-win32-ia32-msvc": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-win32-ia32-msvc/-/cli-win32-ia32-msvc-2.12.2.tgz",
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"cpu": [
"ia32"
],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": ">= 10"
}
},
"node_modules/@tauri-apps/cli-win32-x64-msvc": {
"version": "2.12.2",
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-win32-x64-msvc/-/cli-win32-x64-msvc-2.12.2.tgz",
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"cpu": [
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],
"dev": true,
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": ">= 10"
}
}
}
}
+13
View File
@@ -0,0 +1,13 @@
{
"name": "simba-desktop",
"version": "0.1.0",
"private": true,
"scripts": {
"tauri": "tauri",
"dev": "tauri dev",
"build": "tauri build --bundles app"
},
"devDependencies": {
"@tauri-apps/cli": "^2.12.2"
}
}
+4973
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+17
View File
@@ -0,0 +1,17 @@
[package]
name = "simba-desktop"
version = "0.1.0"
edition = "2021"
[lib]
name = "simba_desktop_lib"
crate-type = ["staticlib", "cdylib", "rlib"]
[build-dependencies]
tauri-build = { version = "2", features = [] }
[dependencies]
tauri = { version = "2", features = ["tray-icon", "image-png"] }
tauri-plugin-global-shortcut = "2"
tauri-plugin-single-instance = "2"
url = "2"
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+3
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@@ -0,0 +1,3 @@
fn main() {
tauri_build::build()
}
@@ -0,0 +1,7 @@
{
"$schema": "../gen/schemas/desktop-schema.json",
"identifier": "default",
"description": "Bundled pages only (offline/connect screen). The remote SimbaRAG origin gets no IPC.",
"windows": ["main"],
"permissions": ["core:default"]
}
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+3
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@@ -0,0 +1,3 @@
[toolchain]
channel = "1.90.0"
profile = "minimal"
+171
View File
@@ -0,0 +1,171 @@
//! Simba desktop shell.
//!
//! A thin native wrapper around the deployed SimbaRAG web app: the main window
//! starts on a bundled connect page (`ui/index.html`) that checks the server is
//! reachable and then navigates to it. The Rust side owns everything the web
//! app can't do: the menu-bar icon, the global hotkey, and keeping the app
//! alive when the window is closed.
use tauri::{
menu::{Menu, MenuItem, PredefinedMenuItem},
tray::{MouseButton, MouseButtonState, TrayIconBuilder, TrayIconEvent},
AppHandle, Manager, RunEvent, WebviewUrl, WebviewWindow, WebviewWindowBuilder, WindowEvent,
};
use tauri_plugin_global_shortcut::{Code, GlobalShortcutExt, Modifiers, Shortcut, ShortcutState};
const MAIN: &str = "main";
const DEFAULT_SERVER_URL: &str = "http://localhost:8080";
/// Server URL: `SIMBA_URL` at runtime, else at build time, else localhost.
fn server_url() -> String {
std::env::var("SIMBA_URL")
.ok()
.or_else(|| option_env!("SIMBA_URL").map(str::to_owned))
.unwrap_or_else(|| DEFAULT_SERVER_URL.to_owned())
.trim_end_matches('/')
.to_owned()
}
/// Bundled connect page, told which server to probe and open.
fn connect_url() -> WebviewUrl {
let mut url = url::Url::parse("tauri://localhost/index.html").expect("static url");
url.query_pairs_mut().append_pair("server", &server_url());
WebviewUrl::App(format!("index.html?{}", url.query().unwrap_or_default()).into())
}
fn main_window(app: &AppHandle) -> Option<WebviewWindow> {
app.get_webview_window(MAIN)
}
fn show(app: &AppHandle) {
if let Some(window) = main_window(app) {
let _ = window.unminimize();
let _ = window.show();
let _ = window.set_focus();
}
}
fn toggle(app: &AppHandle) {
let Some(window) = main_window(app) else { return };
let focused = window.is_visible().unwrap_or(false) && window.is_focused().unwrap_or(false);
if focused {
let _ = window.hide();
} else {
show(app);
}
}
/// Re-run the connect page (server probe + redirect), e.g. after an outage.
fn reconnect(app: &AppHandle) {
if let Some(window) = main_window(app) {
let WebviewUrl::App(path) = connect_url() else { return };
if let Ok(url) = url::Url::parse(&format!("tauri://localhost/{}", path.display())) {
let _ = window.navigate(url);
}
show(app);
}
}
fn new_chat(app: &AppHandle) {
if let Some(window) = main_window(app) {
if let Ok(url) = url::Url::parse(&format!("{}/", server_url())) {
let _ = window.navigate(url);
}
show(app);
}
}
fn build_tray(app: &AppHandle) -> tauri::Result<()> {
let show_item = MenuItem::with_id(app, "show", "Show Simba", true, Some("Alt+Space"))?;
let new_chat_item = MenuItem::with_id(app, "new_chat", "New Chat", true, None::<&str>)?;
let reconnect_item = MenuItem::with_id(app, "reconnect", "Reconnect", true, None::<&str>)?;
let quit_item = MenuItem::with_id(app, "quit", "Quit Simba", true, Some("Cmd+Q"))?;
let menu = Menu::with_items(
app,
&[
&show_item,
&new_chat_item,
&PredefinedMenuItem::separator(app)?,
&reconnect_item,
&PredefinedMenuItem::separator(app)?,
&quit_item,
],
)?;
let mut tray = TrayIconBuilder::with_id("simba")
.tooltip("Simba")
.menu(&menu)
.show_menu_on_left_click(false)
.on_menu_event(|app, event| match event.id.as_ref() {
"show" => show(app),
"new_chat" => new_chat(app),
"reconnect" => reconnect(app),
"quit" => app.exit(0),
_ => {}
})
.on_tray_icon_event(|tray, event| {
if let TrayIconEvent::Click {
button: MouseButton::Left,
button_state: MouseButtonState::Up,
..
} = event
{
toggle(tray.app_handle());
}
});
if let Some(icon) = app.default_window_icon() {
tray = tray.icon(icon.clone());
}
tray.build(app)?;
Ok(())
}
fn register_hotkey(app: &AppHandle) -> tauri::Result<()> {
let hotkey = Shortcut::new(Some(Modifiers::ALT), Code::Space);
app.plugin(
tauri_plugin_global_shortcut::Builder::new()
.with_handler(move |app, shortcut, event| {
if shortcut == &hotkey && event.state() == ShortcutState::Pressed {
toggle(app);
}
})
.build(),
)?;
// Another app may already own ⌥Space; the tray still works without it.
if let Err(e) = app.global_shortcut().register(hotkey) {
eprintln!("simba: could not register Alt+Space: {e}");
}
Ok(())
}
pub fn run() {
tauri::Builder::default()
.plugin(tauri_plugin_single_instance::init(|app, _args, _cwd| show(app)))
.setup(|app| {
WebviewWindowBuilder::new(app, MAIN, connect_url())
.title("Simba")
.inner_size(1200.0, 820.0)
.min_inner_size(420.0, 520.0)
.build()?;
build_tray(app.handle())?;
register_hotkey(app.handle())?;
Ok(())
})
.on_window_event(|window, event| {
// Closing the window hides it; Simba lives on in the menu bar.
if let WindowEvent::CloseRequested { api, .. } = event {
if window.label() == MAIN {
api.prevent_close();
let _ = window.hide();
}
}
})
.build(tauri::generate_context!())
.expect("error while building Simba")
.run(|app, event| {
// Clicking the Dock icon brings the hidden window back.
if let RunEvent::Reopen { .. } = event {
show(app);
}
});
}
+6
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@@ -0,0 +1,6 @@
// Prevents an extra console window on Windows in release builds.
#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
fn main() {
simba_desktop_lib::run()
}
+26
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@@ -0,0 +1,26 @@
{
"$schema": "https://schema.tauri.app/config/2",
"productName": "Simba",
"version": "0.1.0",
"identifier": "co.torrtle.simba",
"build": {
"frontendDist": "../ui"
},
"app": {
"windows": [],
"security": {
"csp": null
}
},
"bundle": {
"active": true,
"targets": ["app"],
"icon": [
"icons/32x32.png",
"icons/128x128.png",
"icons/128x128@2x.png",
"icons/icon.icns",
"icons/icon.png"
]
}
}
+88
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@@ -0,0 +1,88 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Simba</title>
<style>
:root {
--cream: #FAF8F2;
--leaf: #2A4D38;
--muted: #7a7266;
--card: #ffffff;
--border: #e6e0d4;
}
@media (prefers-color-scheme: dark) {
:root { --cream: #1b1d1a; --leaf: #8fc4a1; --muted: #a39d92; --card: #24271f; --border: #34382f; }
}
* { box-sizing: border-box; }
body {
margin: 0; min-height: 100vh; display: grid; place-items: center;
background: var(--cream); color: var(--leaf);
font: 15px/1.5 -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
-webkit-user-select: none; user-select: none;
}
main { text-align: center; padding: 16px; max-width: 360px; }
.cat { font-size: 48px; display: inline-block; animation: bob 1.2s ease-in-out infinite; }
.offline .cat { animation: none; filter: grayscale(1); }
@keyframes bob { 50% { transform: translateY(-6px); } }
h1 { font-size: 17px; margin: 12px 0 4px; }
p { margin: 0; color: var(--muted); font-size: 13px; }
code { font-size: 12px; background: var(--card); border: 1px solid var(--border); border-radius: 6px; padding: 1px 6px; }
button {
margin-top: 16px; padding: 6px 16px; border-radius: 999px; cursor: pointer;
border: 1px solid var(--border); background: var(--card); color: var(--leaf); font: inherit;
}
.online-only { display: block; }
.offline-only { display: none; }
.offline .online-only { display: none; }
.offline .offline-only { display: block; }
</style>
</head>
<body>
<main id="root">
<div class="cat">🐈</div>
<div class="online-only">
<h1>waking up simba…</h1>
<p>connecting to <code id="server-a"></code></p>
</div>
<div class="offline-only">
<h1>Can't reach Simba</h1>
<p><code id="server-b"></code> isn't responding. Retrying every few seconds.</p>
<button id="retry" type="button">Try now</button>
</div>
</main>
<script>
// The Rust shell passes the server in ?server=. Probe it, then hand the
// whole window over to the real web app.
const server = (new URLSearchParams(location.search).get("server") || "http://localhost:8080").replace(/\/+$/, "");
const root = document.getElementById("root");
document.getElementById("server-a").textContent = server;
document.getElementById("server-b").textContent = server;
let timer = null;
async function probe() {
clearTimeout(timer);
const ctrl = new AbortController();
const abort = setTimeout(() => ctrl.abort(), 5000);
try {
// no-cors: we only care that the server answered, not what it said.
await fetch(`${server}/api/health`, { mode: "no-cors", cache: "no-store", signal: ctrl.signal });
location.replace(`${server}/`);
} catch {
root.classList.add("offline");
timer = setTimeout(probe, 5000);
} finally {
clearTimeout(abort);
}
}
document.getElementById("retry").addEventListener("click", () => {
root.classList.remove("offline");
probe();
});
probe();
</script>
</body>
</html>
+113 -50
View File
@@ -1,8 +1,94 @@
version: "3.8"
x-raggr-common: &raggr-common
build:
context: .
dockerfile: Dockerfile
image: torrtle/simbarag:latest
environment:
- PAPERLESS_TOKEN=${PAPERLESS_TOKEN}
- BASE_URL=${BASE_URL}
- OLLAMA_URL=${OLLAMA_URL:-http://localhost:11434}
- OPENAI_API_KEY=${OPENAI_API_KEY}
- EMBEDDING_SERVER_URL=${EMBEDDING_SERVER_URL}
- EMBEDDING_MODEL_NAME=${EMBEDDING_MODEL_NAME}
- JWT_SECRET_KEY=${JWT_SECRET_KEY}
- LLAMA_SERVER_URL=${LLAMA_SERVER_URL}
- LLAMA_MODEL_NAME=${LLAMA_MODEL_NAME}
- OIDC_ISSUER=${OIDC_ISSUER}
- OIDC_CLIENT_ID=${OIDC_CLIENT_ID}
- OIDC_CLIENT_SECRET=${OIDC_CLIENT_SECRET}
- OIDC_REDIRECT_URI=${OIDC_REDIRECT_URI}
- OIDC_USE_DISCOVERY=${OIDC_USE_DISCOVERY:-true}
- DATABASE_URL=${DATABASE_URL:-postgres://raggr:changeme@postgres:5432/raggr}
- TAVILY_API_KEY=${TAVILIY_API_KEY}
- YNAB_ACCESS_TOKEN=${YNAB_ACCESS_TOKEN}
- YNAB_BUDGET_ID=${YNAB_BUDGET_ID}
- YNAB_SYNC_INTERVAL=${YNAB_SYNC_INTERVAL:-900}
- MEALIE_BASE_URL=${MEALIE_BASE_URL}
- MEALIE_API_TOKEN=${MEALIE_API_TOKEN}
- MEALIE_GROUP_SLUG=${MEALIE_GROUP_SLUG:-home}
- TWILIO_ACCOUNT_SID=${TWILIO_ACCOUNT_SID}
- TWILIO_AUTH_TOKEN=${TWILIO_AUTH_TOKEN}
- TWILIO_WHATSAPP_NUMBER=${TWILIO_WHATSAPP_NUMBER}
- ALLOWED_WHATSAPP_NUMBERS=${ALLOWED_WHATSAPP_NUMBERS}
- TWILIO_SIGNATURE_VALIDATION=${TWILIO_SIGNATURE_VALIDATION:-true}
- TWILIO_WEBHOOK_URL=${TWILIO_WEBHOOK_URL:-}
- OBSIDIAN_EMAIL=${OBSIDIAN_EMAIL}
- OBSIDIAN_PASSWORD=${OBSIDIAN_PASSWORD}
- OBSIDIAN_VAULT_ID=${OBSIDIAN_VAULT_ID}
- OBSIDIAN_E2E_PASSWORD=${OBSIDIAN_E2E_PASSWORD}
- OBSIDIAN_DEVICE_NAME=${OBSIDIAN_DEVICE_NAME}
- OBSIDIAN_CONTINUOUS_SYNC=${OBSIDIAN_CONTINUOUS_SYNC:-false}
- OBSIDIAN_VAULT_PATH=${OBSIDIAN_VAULT_PATH:-/app/data/obsidian}
- OBSIDIAN_VAULT_NAME=${OBSIDIAN_VAULT_NAME:-}
- S3_ENDPOINT_URL=${S3_ENDPOINT_URL}
- S3_ACCESS_KEY_ID=${S3_ACCESS_KEY_ID}
- S3_SECRET_ACCESS_KEY=${S3_SECRET_ACCESS_KEY}
- S3_BUCKET_NAME=${S3_BUCKET_NAME:-asksimba-images}
- S3_REGION=${S3_REGION:-garage}
- OLLAMA_HOST=${OLLAMA_HOST:-http://localhost:11434}
- FERNET_KEY=${FERNET_KEY}
- GOOGLE_TOKEN_FILE=${GOOGLE_TOKEN_FILE:-/app/config/google-token.json}
- MAILGUN_API_KEY=${MAILGUN_API_KEY}
- MAILGUN_DOMAIN=${MAILGUN_DOMAIN}
- MAILGUN_WEBHOOK_SIGNING_KEY=${MAILGUN_WEBHOOK_SIGNING_KEY}
- MAILGUN_SIGNATURE_VALIDATION=${MAILGUN_SIGNATURE_VALIDATION:-true}
- EMAIL_RATE_LIMIT_MAX=${EMAIL_RATE_LIMIT_MAX:-5}
- EMAIL_RATE_LIMIT_WINDOW=${EMAIL_RATE_LIMIT_WINDOW:-300}
- SENDBLUE_API_KEY=${SENDBLUE_API_KEY}
- SENDBLUE_API_SECRET=${SENDBLUE_API_SECRET}
- SENDBLUE_FROM_NUMBER=${SENDBLUE_FROM_NUMBER}
- SENDBLUE_WEBHOOK_SECRET=${SENDBLUE_WEBHOOK_SECRET}
- SENDBLUE_SIGNATURE_VALIDATION=${SENDBLUE_SIGNATURE_VALIDATION:-true}
- ALLOWED_IMESSAGE_NUMBERS=${ALLOWED_IMESSAGE_NUMBERS}
- SIMBAKIT_URL=${SIMBAKIT_URL:-http://simbakit:8585}
- CRON_SECRET=${CRON_SECRET}
- CRONICLE_URL=${CRONICLE_URL:-http://cronicle:3012}
- CRONICLE_API_KEY=${CRONICLE_API_KEY}
- HOMEBOX_URL=${HOMEBOX_URL}
- HOMEBOX_TOKEN=${HOMEBOX_TOKEN}
- BOOKSTACK_BASE_URL=${BOOKSTACK_BASE_URL}
- BOOKSTACK_TOKEN_ID=${BOOKSTACK_TOKEN_ID}
- BOOKSTACK_TOKEN_SECRET=${BOOKSTACK_TOKEN_SECRET}
depends_on:
postgres:
condition: service_healthy
volumes:
- ./obvault:/app/data/obsidian
- ./token.json:/app/config/google-token.json:ro
- raggr-checkpoints:/app/checkpoints
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/api/health"]
interval: 5s
timeout: 5s
retries: 3
start_period: 60s
restart: unless-stopped
services:
postgres:
image: postgres:16-alpine
image: pgvector/pgvector:pg16
ports:
- "5432:5432"
environment:
@@ -11,6 +97,7 @@ services:
- POSTGRES_DB=${POSTGRES_DB:-raggr}
volumes:
- postgres_data:/var/lib/postgresql/data
- ./docker/init-pgvector.sql:/docker-entrypoint-initdb.d/init-pgvector.sql
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-raggr}"]
interval: 10s
@@ -18,58 +105,34 @@ services:
retries: 5
restart: unless-stopped
raggr:
build:
context: .
dockerfile: Dockerfile
image: torrtle/simbarag:latest
# Blue-green deployment: exactly one of raggr-blue/raggr-green serves at a
# time; Caddy health-checks both ports and routes to the healthy one.
# Use scripts/deploy.sh (make redeploy) to swap colors with zero downtime.
raggr-blue:
<<: *raggr-common
profiles: ["blue"]
ports:
- "8080:8080"
environment:
- PAPERLESS_TOKEN=${PAPERLESS_TOKEN}
- BASE_URL=${BASE_URL}
- OLLAMA_URL=${OLLAMA_URL:-http://localhost:11434}
- CHROMADB_PATH=/app/data/chromadb
- OPENAI_API_KEY=${OPENAI_API_KEY}
- JWT_SECRET_KEY=${JWT_SECRET_KEY}
- LLAMA_SERVER_URL=${LLAMA_SERVER_URL}
- LLAMA_MODEL_NAME=${LLAMA_MODEL_NAME}
- OIDC_ISSUER=${OIDC_ISSUER}
- OIDC_CLIENT_ID=${OIDC_CLIENT_ID}
- OIDC_CLIENT_SECRET=${OIDC_CLIENT_SECRET}
- OIDC_REDIRECT_URI=${OIDC_REDIRECT_URI}
- OIDC_USE_DISCOVERY=${OIDC_USE_DISCOVERY:-true}
- DATABASE_URL=${DATABASE_URL:-postgres://raggr:changeme@postgres:5432/raggr}
- TAVILY_API_KEY=${TAVILIY_API_KEY}
- YNAB_ACCESS_TOKEN=${YNAB_ACCESS_TOKEN}
- YNAB_BUDGET_ID=${YNAB_BUDGET_ID}
- TWILIO_ACCOUNT_SID=${TWILIO_ACCOUNT_SID}
- TWILIO_AUTH_TOKEN=${TWILIO_AUTH_TOKEN}
- TWILIO_WHATSAPP_NUMBER=${TWILIO_WHATSAPP_NUMBER}
- ALLOWED_WHATSAPP_NUMBERS=${ALLOWED_WHATSAPP_NUMBERS}
- TWILIO_SIGNATURE_VALIDATION=${TWILIO_SIGNATURE_VALIDATION:-true}
- TWILIO_WEBHOOK_URL=${TWILIO_WEBHOOK_URL:-}
- OBSIDIAN_AUTH_TOKEN=${OBSIDIAN_AUTH_TOKEN}
- OBSIDIAN_VAULT_ID=${OBSIDIAN_VAULT_ID}
- OBSIDIAN_E2E_PASSWORD=${OBSIDIAN_E2E_PASSWORD}
- OBSIDIAN_DEVICE_NAME=${OBSIDIAN_DEVICE_NAME}
- OBSIDIAN_CONTINUOUS_SYNC=${OBSIDIAN_CONTINUOUS_SYNC:-false}
- OBSIDIAN_VAULT_PATH=${OBSIDIAN_VAULT_PATH:-/app/data/obsidian}
- S3_ENDPOINT_URL=${S3_ENDPOINT_URL}
- S3_ACCESS_KEY_ID=${S3_ACCESS_KEY_ID}
- S3_SECRET_ACCESS_KEY=${S3_SECRET_ACCESS_KEY}
- S3_BUCKET_NAME=${S3_BUCKET_NAME:-asksimba-images}
- S3_REGION=${S3_REGION:-garage}
- OLLAMA_HOST=${OLLAMA_HOST:-http://localhost:11434}
- FERNET_KEY=${FERNET_KEY}
depends_on:
postgres:
condition: service_healthy
volumes:
- chromadb_data:/app/data/chromadb
- ./obvault:/app/data/obsidian
raggr-green:
<<: *raggr-common
profiles: ["green"]
ports:
- "8081:8080"
simbakit:
build:
context: ./simbakit
restart: unless-stopped
volumes:
- simbakit-data:/app/data
environment:
- PETKIT_USERNAME=${PETKIT_USERNAME}
- PETKIT_PASSWORD=${PETKIT_PASSWORD}
- PETKIT_REGION=${PETKIT_REGION:-US}
- PETKIT_TIMEZONE=${PETKIT_TIMEZONE:-America/New_York}
volumes:
chromadb_data:
postgres_data:
simbakit-data:
raggr-checkpoints:
+1
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@@ -0,0 +1 @@
CREATE EXTENSION IF NOT EXISTS vector;
+5 -5
View File
@@ -36,11 +36,11 @@
## Backlog
- [ ] YNAB API client module
- [ ] YNAB data models (Budget, Transaction, Category, Account)
- [ ] Database schema for financial data
- [ ] YNAB sync background job/scheduler
- [ ] Financial insights LangChain tools
- [x] YNAB API client module
- [x] YNAB data models (Budget, Transaction, Category, Account)
- [x] Database schema for financial data
- [x] YNAB sync background job/scheduler
- [x] Financial insights LangChain tools
- [ ] Admin UI for YNAB configuration
- [ ] Frontend components for money insights display
+229
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@@ -0,0 +1,229 @@
# Cowork UI (phase 2) plan
Status: **proposal, awaiting approval.** Parent doc: [desktop-client.md](desktop-client.md).
Goal: make the agent's work visible and useful. Tool calls appear as a live
activity timeline. Results that are more than text (budget breakdowns, recipes,
notes, documents) open in a side panel. Files can be dropped into the
conversation. This is all built in `raggr-frontend` and the Quart backend, so
the web app gets it too; the Tauri shell needs only a one-line drag-drop
setting.
## Where we are
- `stream-query` SSE sends `tool_start {tool}` and `tool_end {tool}` and nothing
else: no id, inputs, duration or result. The UI shows a one-line pill whose
label comes from a stale `TOOL_MESSAGES` map in `useChat.ts`.
- Tools return formatted strings. `on_tool_end` saves them as `speaker="tool"`
messages, and `GET /conversation/<id>` returns only their first line
(`[tool result]`).
- Only `simba_search` uses `response_format="content_and_artifact"`, and its
artifact is a list of LangChain `Document`s that nothing reads.
- Auth: the backend accepting access tokens is merged (#57). The frontend
half (`fix/access-token-auth`) is waiting on a deploy.
- **#55 (YNAB mirror) is open.** It replaces every YNAB tool (new
`blueprints/ynab/tools.py`: `ynab_budget_summary`, `ynab_account_balances`,
`ynab_search_transactions`, `ynab_spending_report`, `ynab_category_budget`,
`ynab_recent_changes`). ⚠️ Its migration is numbered `16_…`, which clashes
with #57's `16_…_add_oidc_states` already on main, so it must be
regenerated before #55 merges.
## Contract
Every task codes against this. It lands on main with this doc before any
worker starts, so all workers share it.
### SSE events (additive; old clients ignore new fields)
```ts
// tool_start
{ type: "tool_start", run_id: string, tool: string, label: string,
input: Record<string, string | number | boolean> } // values truncated to 200 chars, `config` dropped
// tool_end
{ type: "tool_end", run_id: string, tool: string, label: string,
status: "ok" | "error", ms: number,
artifact: ArtifactRef | null }
// unchanged: thinking, thinking_delta, content, response, error, [DONE]
```
- `label` comes from a server-side registry
(`blueprints/conversation/tool_labels.py`): `{tool_name: "Checking budget…"}`,
with the fallback `"Using <tool>…"`. MCP tools match by prefix (`homebox_`,
`bookstack_`). `TOOL_MESSAGES` in `useChat.ts` is deleted.
- `status="error"` comes from `on_tool_error`. Most tools catch exceptions and
return an error string, so they report `ok`; that's acceptable.
- Parallel tool calls are paired by `run_id`.
### Artifacts
A tool opts in by returning `(text, artifact)` with
`@tool(response_format="content_and_artifact")`. The LLM sees only `text`. The
artifact is a plain JSON-serialisable dict:
```ts
type ToolArtifact = { // what a tool returns
kind: ArtifactKind;
title: string; // "October spending by category"
data: object; // per-kind shape below; ≤ 256 KB serialised or it is dropped
source_ref?: { system: "mealie" | "obsidian" | "paperless" | "ynab" | "web";
id?: string; path?: string; url?: string };
};
type ArtifactRef = { id: string; kind: ArtifactKind; title: string }; // in tool_end + conversation payload
type Artifact = ArtifactRef & { data: object; source_ref: object | null; tool: string;
conversation_id: string; message_id: string | null; created_at: string };
```
V1 kinds and their `data` shapes:
| kind | produced by | data |
|---|---|---|
| `mealie.recipe` | `mealie_get_recipe` | `{slug, name, description, servings, prep_time, cook_time, total_time, ingredients: string[], instructions: {title?, text}[], tags: string[], image_url?}` |
| `mealie.meal_plan` | `mealie_meal_plans`, `mealie_todays_meals` | `{start_date, end_date, days: {date, meals: {entry_type, name, recipe_slug?, note?}[]}[]}` |
| `mealie.shopping_lists` | `mealie_shopping_lists` | `{lists: {name, items: {name, quantity, checked}[]}[]}` |
| `obsidian.note` | `obsidian_read_note`, `journal_get_today` | `{path, title, markdown (≤ 50k chars), tags: string[], frontmatter: object}` |
| `search.documents` | `simba_search`, `obsidian_search_notes` | `{query, source, results: {title, snippet (≤ 400), filename?, path?, document_type?, date?}[]}` |
| `ynab.summary` | `ynab_budget_summary` | `{month, ready_to_assign, income, assigned, spent, age_of_money?, net_worth, overspent: {name, available}[]}` |
| `ynab.transactions` | `ynab_search_transactions` | `{start_date, end_date, count, total, transactions: {date, payee, category, account, memo?, amount}[]}` (≤ 500 rows) |
| `ynab.spending_report` | `ynab_spending_report` | `{start_date, end_date, group_by, rows: {key, amount, count?}[], total}` |
| `ynab.category_budget` | `ynab_category_budget` | `{month, groups: {name, categories: {name, assigned, activity, available, goal_target?}[]}[]}` |
YNAB kinds are built against #55's tools, so they wait for #55.
`source_ref.url` is filled where the backend knows it (Mealie base URL plus the
recipe path). Obsidian gets `obsidian://open?vault=<OBSIDIAN_VAULT_NAME>&file=<path>`
only if that env var is set; it's added to `.env`, `.env.example` and
`docker-compose.yml`.
### Storage and API
- New Tortoise model `Artifact` (`blueprints/artifacts/models.py`, table
`artifacts`): `id UUID, user FK, conversation FK (cascade), message FK →
conversation_messages (nullable, set null), tool, kind, title, data JSON,
source_ref JSON null, version int default 1, created_at, updated_at`.
Migration generated with `make migrate-new` / aerich, adds a table only.
- Created in `stream_query`'s `on_tool_end` when `output.artifact` is a dict
with a `kind`, right after the tool message is saved and linked to it.
Non-web channels (iMessage, WhatsApp, `/query`) don't create artifacts.
- `GET /api/artifacts?conversation_id=…` returns `ArtifactRef[]` plus
`{tool, message_id, created_at}`, without `data`.
`GET /api/artifacts/<id>` returns the full `Artifact`. Both require an access
token and are scoped to the owner (404 otherwise).
- `GET /api/conversation/<id>`: tool messages gain
`tool: string, label: string, artifact: ArtifactRef | null`. `text` keeps
the header line, for older clients.
- Write-back (`PATCH`) is **out of scope** for phase 2.
### Uploads
- `POST /api/conversation/upload` (multipart `file`, `conversation_id`):
- images go through the existing `process_image` and return
`{kind: "image", image_key}`
- `application/pdf`, `text/plain`, `text/markdown`, `text/csv` (by MIME type
or extension) are stored at `conversations/<id>/files/<uuid>.<ext>` and
return `{kind: "file", file_key, name, chars}`. PDF text is extracted with
PyMuPDF (`fitz`, already a dependency).
- max 10 MB; anything else gets a 415
- `upload-image` stays as is
- `stream-query` accepts an optional `file_key`. The extracted text (capped at
12k chars, with a `[truncated]` marker) is appended to the user turn as
`<attached file "name">…</attached>`. The saved user message gets
`📎 name` appended. Saved user messages get no new column.
## Tasks
Each task has its own branch off main (after the contract lands), its own herdr
worktree and pane, and its own Claude session started from a brief.
| # | Branch / pane | Scope | Owns (files) | Depends on |
|---|---|---|---|---|
| **A** | `feat/cowork-stream` | SSE v2 events + label registry; `Artifact` model, migration, API, creation in `on_tool_end`; conversation payload fields | `blueprints/conversation/__init__.py`, new `tool_labels.py`, new `blueprints/artifacts/`, `config/db.py`, `app.py` (register), a migration | contract on main. **Migration last, after rebasing** (see sequencing) |
| **B** | `feat/cowork-tool-artifacts` | `content_and_artifact` for the Mealie, Obsidian and search tools; then a second commit for the YNAB tools once #55 merges | `blueprints/conversation/agents.py`, `blueprints/ynab/tools.py` (2nd commit), tests | contract; #55 for the YNAB part |
| **C** | `feat/cowork-timeline` | Activity timeline replaces `ToolBubble`: grouped "Simba worked · N steps · 4.2 s" block per turn, rows with icon, label, input summary, spinner/✓/✗, duration and an "Open" chip that calls an `onOpenArtifact(ref)` prop; restored from conversation payload on reload | `useChat.ts`, new `ActivityTimeline.tsx`, `ToolBubble.tsx` (delete), `conversationService.ts` types, `ChatScreen.tsx` (message list only) | frontend auth PR merged |
| **D** | `feat/cowork-artifact-panel` | Right-side artifact panel: tabs for opened artifacts, `artifactService.ts`, a renderer per kind (CSS bars, no chart library), "Open in Mealie/Obsidian", a sheet below `lg`; auto-opens the newest artifact of a turn when the window is ≥ 1280 px wide, otherwise just the chip | new `components/artifacts/*`, `api/artifactService.ts`, `ChatScreen.tsx` (layout + wiring `onOpenArtifact`) | C merged first (wires its prop) |
| **E** | `feat/cowork-file-drop` | Upload endpoint + `file_key` in `stream-query`; drop overlay over the whole window, attachment chip in `MessageInput`; Tauri `disable_drag_drop_handler()` so HTML5 drops reach the webview | `blueprints/conversation/__init__.py` (new route + small `stream_query` hunk), new `utils/file_extract.py`, `MessageInput.tsx`, `ChatScreen.tsx` (overlay), `useChat.ts` (pending file), `desktop/src-tauri/src/lib.rs` | rebase after A and C (shared files) |
### Parallelism and sequencing
```
now ──► contract PR (this doc) merged
frontend-auth PR merged (after your deploy)
│
├── A feat/cowork-stream ─────────────┐ (merges 1st)
├── B feat/cowork-tool-artifacts ─────┤ (Mealie/Obsidian/search: merges anytime; YNAB commit after #55)
├── C feat/cowork-timeline ───────────┤ (merges after A)
├── D feat/cowork-artifact-panel ─────┤ (merges after C)
└── E feat/cowork-file-drop ──────────┘ (merges last)
```
- **All five start in parallel.** A and B are pure backend. C and D build
against a mock `/api` server that speaks the contract, so they don't wait for
A.
- **Migration order.** #55's migration needs regenerating (it clashes with
#57). A's migration must be generated *after* whatever lands before it. A
writes the model and code first, then rebases onto the latest main and runs
`make migrate-new` as its final step. If #55 merges while A is in review, A
rebases and regenerates.
- **Shared-file conflicts** (`ChatScreen.tsx`, `useChat.ts`,
`conversation/__init__.py`) are resolved by the merge order A → C → D → E. Each
later branch rebases onto main before its review.
- B's Mealie/Obsidian/search commit is safe to merge before A: without A,
artifacts ride along in `ToolMessage.artifact` and are ignored.
### Verification per task
- **Backend (A, B, E):** unit tests in `tests/unit/`, run with
`TAVILY_API_KEY=dummy .venv/bin/pytest tests/ -q` (create the venv with
`uv sync --all-extras`).
- A: event shaping becomes pure functions (`tool_start_payload(event)`,
`tool_end_payload(event, started_at, artifact_ref)`), which are tested,
along with the 256 KB cap and owner scoping.
- B: each converted tool, with its service mocked, returns `(str, dict)`
matching the kind's shape.
- E: extraction and the 415 case.
- **Migrations:** a throwaway Postgres container + aerich, the same approach
the auth fix used.
- **Frontend (C, D, E):** `yarn build`, plus the mock-server + Playwright recipe
(Node `http` mock serving `dist/` and SSE fixtures, Playwright on installed
Chrome, `addInitScript` to seed tokens). Screenshots are checked by eye.
Fixtures live in `raggr-frontend/test-fixtures/cowork/*.json`, and D owns one
per kind. Don't commit the Playwright devDep or a rewritten
`package-lock.json`.
## Process
1. Approve this plan. I commit it on `plan/cowork-ui`, open the PR and merge it
so the contract is on main.
2. Wait for the frontend-auth PR to merge after your deploy. A and B can start
right away; C, D and E start once it's in, so they use the new fetch helper.
3. For each task: `herdr worktree create … --base origin/main`, a
`.claude-brief.md` with that task's slice of this doc, and
`herdr agent start cowork-<x> … -- claude "Read .claude-brief.md…"`.
Workers commit locally and never push.
4. When a worker goes idle with its task done, I review:
- **pass 1:** I read the diff against the contract, run the tests and
build, and send numbered findings to the worker.
- **pass 2:** same again after its fixes.
- Then I push the branch and open the PR (`tea pr create`).
- I don't merge; you merge, or tell me to.
5. Before each review, the branch rebases on main per the merge order.
## Decisions I made (say if you disagree)
- **No write-back in phase 2.** Editing a recipe or note in the panel and
saving it to Mealie/Obsidian is phase 2.5.
- **No chart library.** CSS bars and tables are enough for budgets. Revisit if
trends need real line charts.
- **The panel auto-opens on wide windows**, otherwise shows a chip.
- **One attached file per message** (like images today). Dropped PDFs aren't
filed into Paperless yet.
- **Out of scope for now:** the bridge, notifications, the Keychain, and
detached runs. They're phases 3–4 in the parent doc.
## Open questions
1. Is **#55** close to merging? It decides when the YNAB artifacts happen, and
its migration needs regenerating against main either way.
2. What's the **Obsidian vault name** (for `obsidian://` links), or is the
link not worth having?
3. What's the **Mealie recipe URL** format on your instance
(`/g/home/r/<slug>` or `/recipe/<slug>`)? Worker B can check against the
API otherwise.
+76 -8
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@@ -96,20 +96,88 @@ The dev environment:
- Rebuilds frontend on changes
- Auto-applies migrations on startup
### Production
### Production (zero-downtime blue-green)
The app runs as one of two identical compose services: `raggr-blue`
(host port 8080) or `raggr-green` (host port 8081), gated behind compose
profiles so only one color runs at a time. Caddy health-checks both ports and
routes traffic to whichever is healthy.
```bash
# Build and deploy
docker compose build raggr
docker compose up -d
# Pull latest and swap colors with zero downtime
make redeploy
# View logs
docker compose logs -f raggr
# Or run the swap directly
./scripts/deploy.sh
# Verify migrations applied
docker compose exec raggr aerich history
# View logs / exec into the active color (Makefile resolves the color)
make logs
make migrate-history
```
`scripts/deploy.sh` does the following:
1. Detects the running color via `docker compose ps`.
2. Builds the inactive color.
3. Starts it with `docker compose up -d --wait`, which blocks until the
container healthcheck (`GET /api/health`) passes.
4. If the new color never becomes healthy, it is stopped and the old color
keeps serving (the script exits non-zero).
5. Otherwise the old color is stopped with a 30s grace period so in-flight
SSE streams can finish, then removed.
To target a color manually, enable its profile:
```bash
docker compose --profile blue up -d raggr-blue
docker compose --profile blue --profile green ps
```
#### Caddy configuration
Caddy needs both upstreams with active health checks:
```caddyfile
ask.torrtle.co {
reverse_proxy host.docker.internal:8080 host.docker.internal:8081 {
lb_policy first # prefer blue when both are healthy
lb_try_duration 5s # retry on the other upstream during the swap
lb_try_interval 250ms
health_uri /api/health
health_interval 2s
health_timeout 2s
fail_duration 10s
}
}
```
#### One-time cutover from the old `raggr` service
The first deploy after this change lands needs manual steps, because the old
`raggr` container still holds port 8080 and the deploy script doesn't know
about it:
```bash
# 1. Update the Caddy config to the two-upstream block below and reload Caddy
# 2. On the server:
git pull
docker compose --profile green up -d --build --wait raggr-green # port 8081, no conflict
docker stop -t 30 $(docker ps -q --filter name=raggr-1) # old raggr container
docker rm $(docker ps -aq --filter name=raggr-1)
# From here on, `make redeploy` handles swaps (green is now the active color)
```
#### Blue-green caveats
- **Migrations must be backward-compatible.** The new color runs
`aerich upgrade` on startup while the old color is still serving the
previous code. Additive changes (new tables/columns) are safe; destructive
changes (drop/rename a column the old code reads) need a two-step deploy:
ship code that stops using the column first, then drop it in a later deploy.
- **Obsidian sync overlap.** During the ~30s swap window both containers run
pull-only `ob sync` against the shared `./obvault` mount. Both are
read-only pulls, so this is low risk, but avoid deploying mid-reindex.
### Fresh Deploy (New Database)
On first deploy with an empty database, `startup-dev.sh` runs `aerich init-db` instead of `aerich upgrade`. This creates all tables from the current models.
+351
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@@ -0,0 +1,351 @@
# Desktop Client (exploration)
Status: **proposal**, no app code yet. Branch `explore/desktop-client`.
Goal: a persistent, native-feeling macOS app where Simba works *alongside* the
user rather than a chat box in a browser tab. "Cowork-like" means:
- visible tool activity and progress while the agent works
- side panels for artifacts: budget reports, recipes, notes, documents
- drag files into the agent
- desktop notifications (scheduled messages, cron jobs, finished runs)
- a menu-bar icon and a global hotkey to summon the window
## Decisions (2026-10-12)
| Question | Decision | Consequence |
|---|---|---|
| Reachable off-LAN? | Yes, publicly via Caddy | Loading the remote origin works anywhere; `offline.html` only covers "no network / server down" |
| Who uses it? | Just the admin (Ryan) | Every desktop-only endpoint is `@admin_required`; no multi-user notification fan-out, no distribution story |
| Act on the Mac (local tools)? | **Yes** | Adds a *local tool bridge* (below). Tauri is still the pick: the bridge lives in the Rust core and can spawn local MCP servers as child processes |
| Artifact storage | Own `artifacts` table | Artifacts can be listed, reopened, edited and written back |
| Stop sending the refresh token on every request? | Yes, for web too | Becomes phase 0 (see "Auth fix") |
| Apple Developer account? | No; a local dev build is fine | No notarization or updater. `make desktop` builds an ad-hoc-signed `.app` locally |
## What exists today
| Area | Current state | Desktop implication |
|---|---|---|
| Frontend | React 19 + Rsbuild + Tailwind, `BrowserRouter`, all API calls use relative `/api/...` | Reusable as-is if the shell loads it from the server origin; a bundled copy needs an API base URL and CORS |
| PWA | `manifest.json` + `sw.js` (static cache, network-only `/api`) | "Install app" already works in Chrome / Safari "Add to Dock" |
| Streaming | `POST /api/conversation/stream-query` → SSE over `fetch` with events `thinking`, `thinking_delta`, `tool_start {tool}`, `tool_end {tool}`, `content`, `response`, `error` | Too thin for Cowork: tool events have no run id, no args, no output, no structured payload |
| Run lifecycle | The agent runs *inside* the HTTP response generator. A client disconnect cancels it (`CancelledError`, partial answer persisted) | You can't close the window and let Simba keep working |
| Tool output | Tools return strings; output is persisted as `speaker="tool"` text (capped at 4000 chars) and the UI only shows the first line. `simba_search` already uses `response_format="content_and_artifact"` | Natural hook for structured artifacts |
| Tool labels | `TOOL_MESSAGES` map in `useChat.ts` is hand-maintained and stale (no Mealie, SimbaKit, Homebox, BookStack, Beli…) | Labels should come from the server |
| Uploads | `POST /api/conversation/upload-image`: images only, 10 MB, stored in S3, attached as an image block | Need generic file upload (PDF, text, markdown, CSV) |
| Auth | Backend is the confidential OIDC client. `/oidc/login` returns an Authelia URL; Authelia redirects to `OIDC_REDIRECT_URI` (the web root); the SPA posts `code`+`state` to `/oidc/callback` and stores JWTs in `localStorage` | In-webview login works unchanged if the shell loads the real origin. A system-browser login needs a handoff (see below) |
| Auth quirks | `_oidc_sessions` is an in-process dict (a login that spans a blue/green flip fails with "Invalid or expired state"); `redirect_after_login` is stored but never used; every API call sends the **30-day refresh token** as the bearer (`@jwt_refresh_token_required` everywhere) | Desktop must keep that token in the Keychain, not plain storage |
| Notifications | Scheduled messages and cron jobs deliver to iMessage / email only (admin-only APIs) | No in-app notification channel exists |
| CORS | None configured | Only matters for a bundled frontend |
## Shell options
### A. PWA ("Install app" / "Add to Dock")
- **Reuse:** 100%. Already shipped.
- **Size:** 0.
- **macOS integration:** own window and Dock icon; Web Push and the Badging API
work for installed PWAs. **No** menu-bar icon, **no** global hotkey, no
quick-ask panel, no Keychain, file access only through the picker/drop.
- **OIDC:** unchanged.
- **Verdict:** a free baseline and the fallback. It can't deliver the
menu-bar or hotkey parts, which are most of what makes it feel like a
desktop app.
### B. Tauri v2 (recommended)
- **Reuse:** high. Either load the deployed frontend from the server origin
(no fork), or bundle `raggr-frontend/dist` (needs an API base URL plus CORS).
- **Size:** ~5–15 MB `.app`, low idle memory (system WKWebView). Rust and
cargo are already installed on this machine.
- **macOS integration:** first-party plugins for tray/menu-bar (core
`TrayIcon`), `global-shortcut`, `notification`, `deep-link`,
`single-instance`, `window-state`, `autostart`, `updater`, `positioner`
(anchor the quick-ask panel under the tray icon), keychain storage, and
window file drag-drop events with real paths. `ActivationPolicy::Accessory`
gives a menu-bar-only mode.
- **Costs:** Safari/WebKit engine (the PWA already targets Safari, so low
risk). Service workers don't run in WKWebView here (the `sw.js` register
call already fails soft). Native code is Rust, but the native layer stays
small: tray, hotkey, notifications, keychain, deep link.
- **Security:** remote content can reach Tauri IPC only through an explicit
`remote.urls` capability. Grant the remote origin only notification and
window commands; register shortcut and tray from Rust, not JS.
### C. Electron
- **Reuse:** same as Tauri.
- **Size:** ~100 MB+ download, ~200 MB+ on disk, 150–300 MB RAM idle.
- **macOS integration:** everything Tauri has, more mature (`menubar`
package, `globalShortcut`, `Notification`, `safeStorage`), plus Node in the
main process. That would matter if the client ran local tools or MCP
servers on the user's machine (see open questions).
- **Verdict:** the better choice only if we want heavy client-side tool
execution in JS/Node. For a thin client to a self-hosted agent, the size
and memory cost buys nothing. Local tools are wanted, but the bridge design
below runs local MCP servers as child processes (Node is already installed),
so Electron's in-process Node isn't needed.
### Decision matrix
| | PWA | Tauri v2 | Electron |
|---|---|---|---|
| Reuse raggr-frontend | ✅ as-is | ✅ remote or bundled | ✅ remote or bundled |
| Bundle / RAM | none | ~10 MB / low | ~100 MB+ / high |
| Menu bar + quick-ask | ❌ | ✅ | ✅ |
| Global hotkey | ❌ | ✅ | ✅ |
| Notifications | Web Push (VAPID) | ✅ native | ✅ native |
| File drag-drop w/ paths | browser `File` only | ✅ | ✅ |
| Secure token storage | ❌ localStorage | ✅ Keychain | ✅ safeStorage |
| Auto-update | free (server) | `updater` plugin, or free with a remote UI | `electron-updater` |
| Local tool execution | ❌ | Rust | Node (easiest) |
## Recommended architecture
**A Tauri v2 shell that loads the deployed SimbaRAG origin, plus a tiny bundled
"offline/connect" page. Cowork features are built in `raggr-frontend` behind
feature detection, so the web app gets them too.**
```
┌──────────────────────── Simba.app (Tauri v2) ─────────────────────────┐
│ Rust core (small) │
│ • tray icon + menu (Ask…, New chat, recent convos, Quit) │
│ • global shortcut ⌥Space → show/hide main window │
│ • notifications (plugin-notification) │
│ • keychain token store, deep-link `simba://`, single-instance │
│ • window-state, autostart │
│ │
│ Main window ──loads──▶ https://<simba-host>/ (full UI) │
│ Fallback ──bundled─▶ offline.html (server unreachable / retry) │
└───────────────────────────────┬────────────────────────────────────────┘
│ HTTPS: REST + SSE (same origin, no CORS)
┌───────────────────────────────▼────────────────────────────────────────┐
│ Caddy → raggr-blue / raggr-green (Quart) │
│ /api/conversation/* (+ structured tool/artifact events) │
│ /api/runs/* (detached agent runs, resumable SSE) [phase 3] │
│ /api/files (generic upload) │
│ /api/notifications/stream (per-user SSE feed) │
└────────────────────────────────────────────────────────────────────────┘
```
Why load the remote origin rather than bundle:
- **One codebase, one deploy.** `make redeploy` updates web, PWA and desktop
together. No version skew between the desktop UI and the SSE protocol, and
no desktop release for UI changes.
- **No CORS, no API-base refactor, and the current OIDC flow works unchanged**
inside the webview (redirect back to the web root on the same origin).
- The agent needs the server anyway, so offline-first buys little. The bundled
`offline.html` covers "server down / not on VPN".
The frontend detects the shell with `window.__TAURI_INTERNALS__` (or a
`?shell=desktop` query param) and turns on the native bits: notifications
and drag-drop paths. Everything else renders
the same in a browser.
### Cowork UI (in raggr-frontend, shared by web and desktop)
- **Three panes:** conversations | chat | **artifact panel** (collapsible, a
tab per artifact). On mobile/web the artifact panel becomes a sheet.
- **Activity timeline** in place of single-line `ToolBubble` pills: one row per
tool call with a server-provided label, args summary, a spinner, duration,
and an expandable result. Clicking a row with an artifact opens it in the
panel.
- **Artifact renderers:** `budget` (YNAB summary/category table + chart),
`transactions` (table), `recipe` (Mealie: ingredients/steps, "add to meal
plan"), `note` (Obsidian markdown, "open in Obsidian" via
`obsidian://` deep link), `document` (Paperless hit: title, snippet, link to
Paperless), `photo` (Immich), `device` (SimbaKit status/weight chart).
- **Drop zone** over the whole window: images go to the existing vision path;
PDFs and text go to the new upload endpoint (below).
### Local tool bridge (Simba acts on the Mac)
The backend can't reach the Mac (it's behind NAT), so the desktop app dials
out and the backend calls tools back over that connection.
```
Mac Server
┌─ Simba.app Rust core ────────────┐ wss ┌─ Quart ────────────────────────┐
│ bridge client ───────────────────┼─────────▶│ /api/desktop/bridge (websocket)│
│ │ JSON-RPC (MCP messages) │ │ │ │
│ ▼ │ │ ▼ │
│ local MCP servers (child procs) │ │ MCP ClientSession over the ws │
│ • filesystem (scoped folders) │ │ → langchain-mcp-adapters tools│
│ • later: screenshot, clipboard, │ │ → mcp_tools.select_tools( │
│ open app/URL, Shortcuts │ │ prefix="mac", admin-only) │
│ confirm dialog for write tools │ │ → injected per run only while │
└──────────────────────────────────┘ │ the bridge is connected │
└────────────────────────────────┘
```
- **The protocol is MCP**, so the backend reuses the existing pattern in
`utils/mcp_tools.py` (allowlist, `prefix_` rename, admin re-check). Only the
transport is new: an MCP `ClientSession` over the websocket's read/write
streams instead of stdio.
- **The bridge runs in Rust, not in the webview.** The webview loads remote
content, so giving page JS file access would turn any XSS into local file
access. The Rust core owns the socket, the child processes, and the
allowlist of exposed folders (picked in a native settings window).
- **Writes need consent:** tools tagged as writes (save file, move, run a
Shortcut) show a native confirm dialog before running. Reads inside the
scoped folders are allowed without asking.
- **Availability:** the agent is compiled once at startup, so `mac_*` tools are
added per run, e.g. via `get_agent_for(user)` returning a variant with
bridge tools when a bridge session is connected. If the bridge drops
mid-call, the tool returns "Mac is offline" rather than hanging.
- **Auth:** the websocket authenticates with the same JWT, so this depends on
the auth fix landing first. A blue/green flip drops the socket and the app
reconnects to the new color.
- **Open spike question:** do the `mcp` Python SDK and `langchain-mcp-adapters`
accept a custom transport cleanly? Fallback: a small hand-rolled JSON-RPC
tool-call protocol with tools defined server-side.
## Auth fix (web + desktop)
Today the frontend sends the **refresh** token as the bearer on every call,
and 20 routes use `@jwt_refresh_token_required` (conversation ×9, beli ×6,
users ×2 incl. `/refresh`, rag ×1, app ×1, plus `admin_required` in
`blueprints/users/decorators.py`).
Change:
1. Backend: every route except `/api/user/refresh` uses `@jwt_required`
(access token, 1h). The same goes for the inner decorator of
`admin_required`.
2. Frontend: collapse `fetchWithRefreshToken` and `fetchWithAuth` into one
function that sends the access token and, on 401, refreshes once and
retries. `validateToken` keeps using the refresh token.
3. Desktop: the refresh token lives in the Keychain. The webview keeps only
the access token (memory or `localStorage`).
This is blue/green-safe in both directions. An *old* frontend talking to the
new backend sends the refresh token, gets a 401, calls `/refresh`, and retries
with an access token, so it works. A *new* frontend talking to the old backend
sends an access token where a refresh token is required, gets a 401, and the
retry with a fresh access token also fails. That window lasts only as long as
the deploy flip. To avoid it, deploy the backend change first: for one release,
accept either token type on the protected routes (a small custom decorator),
then flip the frontend.
SSE streams are authenticated once at request start, so a stream running past
the 1h access-token expiry is fine.
Also in scope: move `_oidc_sessions` into Postgres (or signed, stateless
`state`) so a login spanning a deploy doesn't fail, and either honour or
delete the unused `redirect_after_login`.
## Backend changes
Ordered by how much the client depends on them. All are additive, so
blue/green stays safe: the old frontend ignores the new fields.
1. **Richer SSE events** (`blueprints/conversation/__init__.py`):
- `tool_start {run_id, tool, label, input}`: `input` comes from
`event["data"]["input"]`, trimmed/redacted; `label` comes from a
server-side map that replaces `TOOL_MESSAGES`.
- `tool_end {run_id, tool, ms, summary, artifact?}`: `run_id` lets parallel
tool calls pair up correctly.
- optional `event: id` lines so a client can resume (needed for phase 3).
2. **Structured artifacts.** Move high-value tools to
`response_format="content_and_artifact"` (as `simba_search` already does): the
LLM still sees compact text, and the UI gets
`{kind, title, data}`. Persist them in an **`artifacts` table**:
`id, user_id, conversation_id, message_id (nullable FK to the tool row),
kind, title, data JSON, source_ref (e.g. Mealie slug, Obsidian path,
Paperless id), version, created_at, updated_at`. Generate the migration with
`make migrate-new` (never hand-written); a new table is backward-compatible.
Endpoints: `GET /api/artifacts?conversation_id=` and
`GET/PATCH /api/artifacts/<id>`. `PATCH` writes back to the source
integration where one exists (edit a recipe → Mealie, edit a note →
Obsidian) and bumps `version`. `GET /api/conversation/<id>` includes artifact
ids on tool messages.
3. **Generic file upload** `POST /api/conversation/upload` (supersedes
`upload-image`, which stays for compatibility): accept images, PDF, md/txt,
CSV. Store in S3 under `conversations/<id>/`, extract text (reuse
`utils/cleaner.py` for PDFs), and attach it as a document block capped to the
context budget (32k slots). Possible extra: a "file it in Paperless" action
that pushes the PDF into Paperless so it gets indexed. Revisit
`MAX_CONTENT_LENGTH` (10 MB).
4. **Notifications feed.** A `notifications` table (user, kind, title, body,
link, created_at, read_at) written by the scheduler (`process_due_messages`),
cron runs, and completed detached runs. Add
`GET /api/notifications/stream` (per-user SSE with `Last-Event-ID` replay
from the table, so a blue/green flip only causes a reconnect) and
`POST /api/notifications/<id>/read`. Also consider a `desktop` value on
`MessageChannel` so a scheduled message can target the app instead of
iMessage.
5. **Detached agent runs** (phase 3): `POST /api/runs` starts the agent in a
background task and returns `run_id`; `GET /api/runs/<id>/events` streams
with replay. This decouples work from the window. Constraint: an in-process
run dies on a blue/green stop. Either persist events (Postgres) and mark
runs `interrupted` on startup, or have `deploy.sh` drain active runs before
stopping the old color.
6. **Native auth handoff** (phase 3, optional): sign in through the system
browser (password manager, passkeys, existing Authelia session) without
changing Authelia config:
1. The app generates a PKCE verifier and opens
`https://<simba-host>/api/user/oidc/login?client=desktop&challenge=…` in
the default browser.
2. The normal web OIDC round-trip runs against the existing redirect URI.
3. The backend sees `client=desktop` on the stored session and, instead of
returning JWTs to the page, issues a one-time 60-second handoff code and
redirects to `simba://auth?code=…`.
4. The app exchanges `code + verifier` at `POST /api/user/desktop/token` for
JWTs and stores them in the Keychain.
This also requires moving `_oidc_sessions` into Postgres or signed state so
it survives blue/green. The alternative, registering a loopback or
custom-scheme redirect URI in Authelia, depends on Authelia's redirect
matching rules (exact match, ports?). That needs checking, and the client
secret would have to stay on the server anyway.
7. **Local tool bridge:** `/api/desktop/bridge` websocket, an MCP-over-websocket
client, and per-run injection of `mac_*` tools (see above). Admin-only.
8. **CORS:** only needed if we ever bundle the frontend (`quart-cors`
allowing `tauri://localhost` / `http://tauri.localhost`). Not needed
with the recommendation.
## Phased plan
| Phase | Scope | Backend | Exit criteria |
|---|---|---|---|
| **0a. Auth fix** (own PR) | access token on every call, single fetch helper, OIDC state in Postgres | auth fix (+ migration if state goes in a table) | Web works through a blue/green flip; the refresh token is only ever sent to `/refresh` |
| **0b. Spike** (½ day) | `desktop/` Tauri v2 app: one window loading `<simba-host>`, tray icon with Show/Quit, ⌥Space toggles the window, `offline.html` fallback | none | Log in through Authelia inside the webview, stream an answer, survive a `make redeploy` |
| **1. Native shell** | notifications, window-state, autostart, refresh token in the Keychain (no quick-ask window: dropped 2026-10-12) | none | A scheduled-message notification arrives; the login survives an app restart |
| **2. Cowork UI** ([plan](cowork-ui-plan.md)) | activity timeline, artifact panel + renderers (budget, recipe, note, document first), whole-window drop zone | items 1–3 (`artifacts` table) | Ask "how's the grocery budget" → YNAB artifact opens in the side panel; drop a PDF → summarised |
| **3. Local tools** | Rust bridge client, filesystem MCP scoped to chosen folders, write-confirm dialog, folder picker | item 7 | "Summarise the PDFs in ~/Downloads/taxes" works; a write prompts first; quitting the app removes the tools |
| **4. Background agent** | detached runs, notifications feed, desktop channel for scheduled messages, system-browser auth handoff | items 4–6 | Close the window mid-run → notification when done → reopen shows the full timeline |
**0b status:** scaffolded in `desktop/`. It has a bundled connect page that
probes `/api/health` and hands off to `$SIMBA_URL`, a menu-bar icon
(Show / New Chat / Reconnect / Quit), ⌥Space to toggle, close-to-hide,
single-instance, and Dock-click reopen. The remote origin gets no IPC.
`desktop/src-tauri/rust-toolchain.toml` pins Rust 1.90, the minimum
Tauri 2.12 accepts, so the global toolchain is untouched. Run it with
`make desktop-dev SIMBA_URL=…` or `make desktop`.
Verified 2026-10-12: Authelia login inside the webview works, and the
conversation list loads.
Phases 1–3 are independent once 0a/0b land. Phase 2 also improves the web
UI. There's no distribution phase: `make desktop` runs `tauri build` and
copies the ad-hoc-signed `.app` to `/Applications`. A locally built app isn't
quarantined, so Gatekeeper won't complain. Because the UI loads from the
server, rebuilds are only needed when the Rust shell changes.
## Open questions
1. **Keychain and ad-hoc signing:** the ad-hoc signature changes on every
rebuild, so macOS may ask again for Keychain access after each
`make desktop`. Acceptable, or use a self-signed local code-signing
certificate to keep the identity stable?
2. **Local tool scope for v1:** filesystem (read + confirmed writes) only, or
also screenshot, clipboard, "open URL/app", and running Shortcuts?
3. **MCP over websocket:** does `langchain-mcp-adapters` take a custom session
or transport cleanly? Settle this in a short spike before phase 3;
otherwise fall back to a hand-rolled tool-call protocol.
4. **Engine risk:** does anything in the UI rely on Chromium-only behaviour?
The spike should check markdown rendering, streaming `fetch`, and the
image picker in WKWebView.
5. **Artifact write-back conflicts:** if a recipe or note changed in
Mealie/Obsidian after the artifact was captured, should we refuse, show a
diff, or let the last write win?
+10 -1
View File
@@ -1,6 +1,7 @@
import os
import logging
import httpx
from openai import OpenAI
from dotenv import load_dotenv
@@ -13,7 +14,15 @@ class LLMClient:
def __init__(self):
llama_url = os.getenv("LLAMA_SERVER_URL")
if llama_url:
self.client = OpenAI(base_url=llama_url, api_key="not-needed")
# Tight read timeout so a wedged llama-server fails fast instead
# of hanging for the OpenAI client's 600s default.
read_timeout = float(os.getenv("LLAMA_TIMEOUT_SECONDS", "120"))
self.client = OpenAI(
base_url=llama_url,
api_key="not-needed",
timeout=httpx.Timeout(read_timeout, connect=10.0),
max_retries=1,
)
self.model = os.getenv("LLAMA_MODEL_NAME", "llama-3.1-8b-instruct")
self.PROVIDER = "llama_server"
logging.info("Using llama_server as LLM backend")
-278
View File
@@ -1,278 +0,0 @@
import argparse
import datetime
import logging
import os
import sqlite3
import time
from dotenv import load_dotenv
import chromadb
from utils.chunker import Chunker
from utils.cleaner import pdf_to_image, summarize_pdf_image
from llm import LLMClient
from scripts.query import QueryGenerator
from utils.request import PaperlessNGXService
_dotenv_loaded = load_dotenv()
client = chromadb.PersistentClient(path=os.getenv("CHROMADB_PATH", ""))
simba_docs = client.get_or_create_collection(name="simba_docs2")
feline_vet_lookup = client.get_or_create_collection(name="feline_vet_lookup")
parser = argparse.ArgumentParser(
description="An LLM tool to query information about Simba <3"
)
parser.add_argument("query", type=str, help="questions about simba's health")
parser.add_argument(
"--reindex", action="store_true", help="re-index the simba documents"
)
parser.add_argument("--classify", action="store_true", help="test classification")
parser.add_argument("--index", help="index a file")
ppngx = PaperlessNGXService()
llm_client = LLMClient()
def index_using_pdf_llm(doctypes):
logging.info("reindex data...")
files = ppngx.get_data()
for file in files:
document_id: int = file["id"]
pdf_path = ppngx.download_pdf_from_id(id=document_id)
image_paths = pdf_to_image(filepath=pdf_path)
logging.info(f"summarizing {file}")
generated_summary = summarize_pdf_image(filepaths=image_paths)
file["content"] = generated_summary
chunk_data(files, simba_docs, doctypes=doctypes)
def date_to_epoch(date_str: str) -> float:
split_date = date_str.split("-")
date = datetime.datetime(
int(split_date[0]),
int(split_date[1]),
int(split_date[2]),
0,
0,
0,
)
return date.timestamp()
def chunk_data(docs, collection, doctypes):
# Step 2: Create chunks
chunker = Chunker(collection)
logging.info(f"chunking {len(docs)} documents")
texts: list[str] = [doc["content"] for doc in docs]
with sqlite3.connect("database/visited.db") as conn:
to_insert = []
c = conn.cursor()
for index, text in enumerate(texts):
metadata = {
"created_date": date_to_epoch(docs[index]["created_date"]),
"filename": docs[index]["original_file_name"],
"document_type": doctypes.get(docs[index]["document_type"], ""),
}
if doctypes:
metadata["type"] = doctypes.get(docs[index]["document_type"])
chunker.chunk_document(
document=text,
metadata=metadata,
)
to_insert.append((docs[index]["id"],))
c.executemany(
"INSERT INTO indexed_documents (paperless_id) values (?)", to_insert
)
conn.commit()
def chunk_text(texts: list[str], collection):
chunker = Chunker(collection)
for index, text in enumerate(texts):
metadata = {}
chunker.chunk_document(
document=text,
metadata=metadata,
)
def classify_query(query: str, transcript: str) -> bool:
logging.info("Starting query generation")
qg_start = time.time()
qg = QueryGenerator()
query_type = qg.get_query_type(input=query, transcript=transcript)
logging.info(query_type)
qg_end = time.time()
logging.info(f"Query generation took {qg_end - qg_start:.2f} seconds")
return query_type == "Simba"
def consult_oracle(
input: str,
collection,
transcript: str = "",
):
chunker = Chunker(collection)
start_time = time.time()
# Ask
logging.info("Starting query generation")
qg_start = time.time()
qg = QueryGenerator()
doctype_query = qg.get_doctype_query(input=input)
# metadata_filter = qg.get_query(input)
metadata_filter = {**doctype_query}
logging.info(metadata_filter)
qg_end = time.time()
logging.info(f"Query generation took {qg_end - qg_start:.2f} seconds")
logging.info("Starting embedding generation")
embedding_start = time.time()
embeddings = chunker.embedding_fx(inputs=[input])
embedding_end = time.time()
logging.info(
f"Embedding generation took {embedding_end - embedding_start:.2f} seconds"
)
logging.info("Starting collection query")
query_start = time.time()
results = collection.query(
query_texts=[input],
query_embeddings=embeddings,
where=metadata_filter,
)
query_end = time.time()
logging.info(f"Collection query took {query_end - query_start:.2f} seconds")
# Generate
logging.info("Starting LLM generation")
llm_start = time.time()
system_prompt = "You are a helpful assistant that understands veterinary terms."
transcript_prompt = f"Here is the message transcript thus far {transcript}."
prompt = f"""Using the following data, help answer the user's query by providing as many details as possible.
Using this data: {results}. {transcript_prompt if len(transcript) > 0 else ""}
Respond to this prompt: {input}"""
output = llm_client.chat(prompt=prompt, system_prompt=system_prompt)
llm_end = time.time()
logging.info(f"LLM generation took {llm_end - llm_start:.2f} seconds")
total_time = time.time() - start_time
logging.info(f"Total consult_oracle execution took {total_time:.2f} seconds")
return output
def llm_chat(input: str, transcript: str = "") -> str:
system_prompt = "You are a helpful assistant that understands veterinary terms."
transcript_prompt = f"Here is the message transcript thus far {transcript}."
prompt = f"""Answer the user in as if you were a cat named Simba. Don't act too catlike. Be assertive.
{transcript_prompt if len(transcript) > 0 else ""}
Respond to this prompt: {input}"""
output = llm_client.chat(prompt=prompt, system_prompt=system_prompt)
return output
def paperless_workflow(input):
# Step 1: Get the text
ppngx = PaperlessNGXService()
docs = ppngx.get_data()
chunk_data(docs, collection=simba_docs)
consult_oracle(input, simba_docs)
def consult_simba_oracle(input: str, transcript: str = ""):
is_simba_related = classify_query(query=input, transcript=transcript)
if is_simba_related:
logging.info("Query is related to simba")
return consult_oracle(
input=input,
collection=simba_docs,
transcript=transcript,
)
logging.info("Query is NOT related to simba")
return llm_chat(input=input, transcript=transcript)
def filter_indexed_files(docs):
with sqlite3.connect("database/visited.db") as conn:
c = conn.cursor()
c.execute(
"CREATE TABLE IF NOT EXISTS indexed_documents (id INTEGER PRIMARY KEY AUTOINCREMENT, paperless_id INTEGER)"
)
c.execute("SELECT paperless_id FROM indexed_documents")
rows = c.fetchall()
conn.commit()
visited = {row[0] for row in rows}
return [doc for doc in docs if doc["id"] not in visited]
def reindex():
with sqlite3.connect("database/visited.db") as conn:
c = conn.cursor()
# Ensure the table exists before trying to delete from it
c.execute(
"CREATE TABLE IF NOT EXISTS indexed_documents (id INTEGER PRIMARY KEY AUTOINCREMENT, paperless_id INTEGER)"
)
c.execute("DELETE FROM indexed_documents")
conn.commit()
# Delete all documents from the collection
all_docs = simba_docs.get()
if all_docs["ids"]:
simba_docs.delete(ids=all_docs["ids"])
logging.info("Fetching documents from Paperless-NGX")
ppngx = PaperlessNGXService()
docs = ppngx.get_data()
docs = filter_indexed_files(docs)
logging.info(f"Fetched {len(docs)} documents")
# Delete all chromadb data
ids = simba_docs.get(ids=None, limit=None, offset=0)
all_ids = ids["ids"]
if len(all_ids) > 0:
simba_docs.delete(ids=all_ids)
# Chunk documents
logging.info("Chunking documents now ...")
doctype_lookup = ppngx.get_doctypes()
chunk_data(docs, collection=simba_docs, doctypes=doctype_lookup)
logging.info("Done chunking documents")
if __name__ == "__main__":
args = parser.parse_args()
if args.reindex:
reindex()
if args.classify:
consult_simba_oracle(input="yohohoho testing")
consult_simba_oracle(input="write an email")
consult_simba_oracle(input="how much does simba weigh")
if args.query:
logging.info("Consulting oracle ...")
print(
consult_oracle(
input=args.query,
collection=simba_docs,
)
)
else:
logging.info("please provide a query")
+55
View File
@@ -0,0 +1,55 @@
import time
from contextlib import contextmanager
from prometheus_client import (
CollectorRegistry,
Counter,
Histogram,
generate_latest,
)
REGISTRY = CollectorRegistry(auto_describe=True)
CHAT_RESPONSE_SECONDS = Histogram(
"raggr_chat_response_seconds",
"End-to-end chat response time in seconds.",
labelnames=("stream",),
buckets=(0.5, 1, 2, 5, 10, 30, 60, 120, 300),
registry=REGISTRY,
)
CHAT_REQUESTS_TOTAL = Counter(
"raggr_chat_requests_total",
"Total chat requests by stream mode and result.",
labelnames=("stream", "result"),
registry=REGISTRY,
)
def _s(stream: bool) -> str:
return "true" if stream else "false"
@contextmanager
def time_response(stream: bool):
t0 = time.monotonic()
result = "success"
try:
yield
except Exception:
result = "error"
raise
finally:
CHAT_RESPONSE_SECONDS.labels(stream=_s(stream)).observe(time.monotonic() - t0)
CHAT_REQUESTS_TOTAL.labels(stream=_s(stream), result=result).inc()
def observe_response(stream: bool, seconds: float) -> None:
CHAT_RESPONSE_SECONDS.labels(stream=_s(stream)).observe(seconds)
def count_result(stream: bool, result: str) -> None:
CHAT_REQUESTS_TOTAL.labels(stream=_s(stream), result=result).inc()
def render_metrics() -> bytes:
return generate_latest(REGISTRY)
@@ -0,0 +1,71 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
ALTER TABLE "conversation_messages" ADD "message_handle" VARCHAR(255);
COMMENT ON COLUMN "conversation_messages"."speaker" IS 'USER: user\nSIMBA: simba\nTOOL: tool';"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
ALTER TABLE "conversation_messages" DROP COLUMN "message_handle";
COMMENT ON COLUMN "conversation_messages"."speaker" IS 'USER: user\nSIMBA: simba';"""
MODELS_STATE = (
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"60bq/Q7H7E5//aobpufhfnxM/wXvCLjLGb75fV3Ym8bD0dipo4ECu5hmWHPit+Dmwmvcer"
"5WKrbnpIcvxB79y0Om+LFogW51whn1ALxnNAe3qnf4UYKMoBfQNaX7+5EicLxBrQ60bnWr"
"8VSSbvqxNfmfn82wGYJVEQkBj/dYYpW8Meh+pu9uDjTjyBc4PEkwFYj8JOfAND8vEKWTAi"
"kwH9S9ff859PhIz573a303/HE1zY60bO5DAGJ2LEgMko260XBstl5NS1rLlrWfnhXeKOVT"
"GDCoI12bZVzJwiBFXMnBrYUqY3WXbDSdXPM+YFFd+bwmQLlG/9o+gKU+SQ+N4GCWxzpElY"
"3jjnaBG3i+dlDobPLX93asUIiHgMn/McYTvnzuX0Lb8JVvrl1HKuJiVSFwZsH3fHw9KoAG"
"JcvJ4A7uQjMaVcbPkd8eVc7N7uh9/Zpru1++EL2/M+t5cf/wK3jcna"
)
@@ -0,0 +1,86 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
CREATE TABLE IF NOT EXISTS "cron_jobs" (
"id" UUID NOT NULL PRIMARY KEY,
"name" VARCHAR(255) NOT NULL,
"description" TEXT,
"prompt" TEXT NOT NULL,
"recipient" VARCHAR(255) NOT NULL,
"channel" VARCHAR(20) NOT NULL,
"enabled" BOOL NOT NULL DEFAULT True,
"last_run_at" TIMESTAMPTZ,
"last_status" VARCHAR(50),
"last_error" TEXT,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
);
COMMENT ON COLUMN "cron_jobs"."channel" IS 'IMESSAGE: imessage\nEMAIL: email';"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
DROP TABLE IF EXISTS "cron_jobs";"""
MODELS_STATE = (
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"XV6+/x9WSMI2"
)
@@ -0,0 +1,131 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
CREATE TABLE IF NOT EXISTS "cron_jobs" (
"id" UUID NOT NULL PRIMARY KEY,
"name" VARCHAR(255) NOT NULL,
"description" TEXT,
"prompt" TEXT NOT NULL,
"recipient" VARCHAR(255) NOT NULL,
"channel" VARCHAR(20) NOT NULL,
"enabled" BOOL NOT NULL DEFAULT True,
"last_run_at" TIMESTAMPTZ,
"last_status" VARCHAR(50),
"last_error" TEXT,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
);
COMMENT ON COLUMN "cron_jobs"."channel" IS 'IMESSAGE: imessage\nEMAIL: email';
CREATE TABLE IF NOT EXISTS "beli_profiles" (
"id" UUID NOT NULL PRIMARY KEY,
"beli_email" VARCHAR(255) NOT NULL,
"beli_password" TEXT NOT NULL,
"beli_user_id" VARCHAR(255),
"beli_refresh_token" TEXT,
"last_refreshed_at" TIMESTAMPTZ,
"last_error" TEXT,
"enabled" BOOL NOT NULL DEFAULT True,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"user_id" UUID NOT NULL REFERENCES "users" ("id") ON DELETE CASCADE,
CONSTRAINT "uid_beli_profil_user_id_f4bba0" UNIQUE ("user_id", "beli_email")
);
CREATE TABLE IF NOT EXISTS "beli_restaurants" (
"id" UUID NOT NULL PRIMARY KEY,
"beli_business_id" VARCHAR(255) NOT NULL,
"name" VARCHAR(500) NOT NULL,
"city" VARCHAR(255),
"neighborhood" VARCHAR(255),
"cuisine" JSONB NOT NULL,
"price_range" VARCHAR(10),
"status" VARCHAR(20) NOT NULL,
"rank_index" INT,
"score" DECIMAL(5,2),
"notes" TEXT,
"tags" JSONB NOT NULL,
"fetched_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"profile_id" UUID NOT NULL REFERENCES "beli_profiles" ("id") ON DELETE CASCADE,
CONSTRAINT "uid_beli_restau_profile_921fe6" UNIQUE ("profile_id", "beli_business_id", "status")
);
COMMENT ON COLUMN "beli_restaurants"."status" IS 'BEEN: been\nWANT_TO_TRY: want_to_try';"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
DROP TABLE IF EXISTS "beli_profiles";
DROP TABLE IF EXISTS "cron_jobs";
DROP TABLE IF EXISTS "beli_restaurants";"""
MODELS_STATE = (
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"Xg3KjXvX7n9sXlyTnD4yY6+TKneMgJeEdPFkcdlgKCzJWHDjgE4IGDZ/H6n9SXi//2i/8M"
"Bvp28dCspOSum8Vdy2DTs+jXfLApZvwqxiWyUjI0kSZOd4xOMHmejcVvbZAiqyNN2hXegd"
"jXnLc4fHx85aSMhwerOo3ZEF78Rc0Nz8WPO3A3Mr0J7kgxh/4Vej5343IxJ5ESEZPurYVa"
"I0OjAohxdTEBbG/El7dL+PI2hy8vOqGzhJssPKHzYO5Jbavu3hyRo27k+PF/70kbqw=="
)
@@ -0,0 +1,89 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
ALTER TABLE "beli_restaurants" DROP CONSTRAINT IF EXISTS "uid_beli_restau_profile_921fe6";
ALTER TABLE "beli_restaurants" ADD "friend_name" VARCHAR(255);
ALTER TABLE "beli_restaurants" ADD "friend_beli_user_id" VARCHAR(255) NOT NULL DEFAULT '';
CREATE UNIQUE INDEX IF NOT EXISTS "uid_beli_restau_profile_1e4068" ON "beli_restaurants" ("profile_id", "beli_business_id", "status", "friend_beli_user_id");"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
DROP INDEX IF EXISTS "uid_beli_restau_profile_1e4068";
ALTER TABLE "beli_restaurants" DROP COLUMN "friend_name";
ALTER TABLE "beli_restaurants" DROP COLUMN "friend_beli_user_id";
CREATE UNIQUE INDEX IF NOT EXISTS "uid_beli_restau_profile_921fe6" ON "beli_restaurants" ("profile_id", "beli_business_id", "status");"""
MODELS_STATE = (
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"VF+8yWcJOF+8wezD2pbdbdmyNy1OVIP/4PbwAAKw=="
)
@@ -0,0 +1,87 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
DROP INDEX IF EXISTS "uid_beli_restau_profile_1e4068";
ALTER TABLE "beli_restaurants" ADD "beli_category" VARCHAR(10) NOT NULL DEFAULT '';
CREATE UNIQUE INDEX IF NOT EXISTS "uid_beli_restau_profile_93dc73" ON "beli_restaurants" ("profile_id", "beli_business_id", "status", "friend_beli_user_id", "beli_category");"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
DROP INDEX IF EXISTS "uid_beli_restau_profile_93dc73";
ALTER TABLE "beli_restaurants" DROP COLUMN "beli_category";
CREATE UNIQUE INDEX IF NOT EXISTS "uid_beli_restau_profile_1e4068" ON "beli_restaurants" ("profile_id", "beli_business_id", "status", "friend_beli_user_id");"""
MODELS_STATE = (
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"+TlftYAx91+oJF1IW7heaFNtoj9Ai6u+NdQgPD9Xk7g0LDcoDNB24hw3LasdBpIlxL/ErA"
"uelcd3ut2xeXJ+dMuCfVyZdFQ9QNeTvUioOTCwFJxspDxyVD8MDBUzz/p/XV5L/55D+Fob"
"FZ2kReUoW46hXiUjHpZ9GvxZh0EhioGL7MS6kIZja+smUQk0kHry1+K2OZeR2p0+YRLYh9"
"zVmDE7ZLrpyUhevAsk5t9o0QH7y75vEZSQduF0urgzsiDqF9hX7A3d9AzElkROSke/dCrZ"
"FPowKISXU5AWyuxZc3S/jyJocvF23kW8JNCjfyPZh7srdZd2eOyFHXe/34P9+ncVw="
)
@@ -0,0 +1,101 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
CREATE TABLE IF NOT EXISTS "oidc_states" (
"state" VARCHAR(128) NOT NULL PRIMARY KEY,
"pkce_verifier" VARCHAR(128) NOT NULL,
"expires_at" TIMESTAMPTZ NOT NULL,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX IF NOT EXISTS "idx_oidc_states_expires_c461d9" ON "oidc_states" ("expires_at");
COMMENT ON TABLE "oidc_states" IS 'Pending OIDC login: maps the `state` param to its PKCE verifier.';
ALTER TABLE "users" ALTER COLUMN "ldap_groups" TYPE JSONB USING "ldap_groups"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "cuisine" TYPE JSONB USING "cuisine"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "tags" TYPE JSONB USING "tags"::JSONB;"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
ALTER TABLE "users" ALTER COLUMN "ldap_groups" TYPE JSONB USING "ldap_groups"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "cuisine" TYPE JSONB USING "cuisine"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "tags" TYPE JSONB USING "tags"::JSONB;
DROP TABLE IF EXISTS "oidc_states";"""
MODELS_STATE = (
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"AEAb+CVx/arIWOgEcH6ZznHEl/txzXQjY9vXbJJ+RTGGCXtC7B3y0CHcT+obx+AlrQ81ZX"
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"XLKsHobYOuUy/NojIsiHAbISr8GfMnrtuGjxxKwg8EO0fFRrVWChKQxtDkbrP9OQmBwDIO"
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"ISpwXQEp/magvJ5BXw1lXF8Ckz3oOjDGBSscVzoUAxkDtB5qLQd+NmxEHoMZ+3l2cVEA4/"
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"DWsgOVDWhioQ7EgvaFd/HFaDpzu3Sm5haOwgXV3MKRdqzeuUzvXFbnnct8vn1S6MONzxvm"
"zNTDsrFmIbvTTbskYHJIvTR0L/B6Uqdtm9rzVgSjuN0kpJggSiNlS0TcfIyIZcg+ufhtsp"
"5/5Mdxa1bwIKyg1GmV+BVJtikc1h5IlhyNL4tujvgeV1NtoKz7g7dqkqYk1hDXe1+c4HIk"
"rjoMJAWbqKLtMkkS7fwkiXYmSeLLyh7eyYnQJg4qaWJcX3/USyVkjs5s4voz1600+chyGt"
"GlToaYGzxZMH8cDvo5arkSkRkWbAbgH2BjujMvKGGHTkJsB5jQU36/HZmiHIViIljmfCWb"
"lTeQTXTHJjKYD6NanZuvxJJYI3V4+/NS83ZgUKdkX3W7/UswQYiMyU+d/sgYDYzRA1/Az3"
"xd5qUagV+TNftMA58M8YJZ1HP3CU0LrbU76AF0d8v7g1LT9VV7giITO9BWA7eUkcfahdBp"
"JFxL/ArAuele9+46t68uTs6kQE+sk2+yJqgbqPamzQ9LLgUaMlbuOyIZwEcFnvkzf1xfT/"
"vrTPtTFJjrpUqkJXVYq15hLR2HPop+zcaho2BAxZBlWkpHLZMxlQ0Dl1IKeG3xezF+mdaR"
"Om0Y0UHMy5y1FKG66MpJUYgOrurUZq+I/MN2Sx6ZEXXgZvGzOjgi+WGzT8inyj0N8tmIhE"
"gzKd6d0Gn806gAYlS9mQC2S3Hk7QKOvK3gyPM27y3gI3M3792DY7Kz+XZrLshBV3f9+38t"
"wS81"
)
@@ -0,0 +1,108 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
CREATE TABLE IF NOT EXISTS "artifacts" (
"id" UUID NOT NULL PRIMARY KEY,
"tool" VARCHAR(255) NOT NULL,
"kind" VARCHAR(64) NOT NULL,
"title" VARCHAR(255) NOT NULL,
"data" JSONB NOT NULL,
"source_ref" JSONB,
"version" INT NOT NULL DEFAULT 1,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"conversation_id" UUID NOT NULL REFERENCES "conversations" ("id") ON DELETE CASCADE,
"message_id" UUID REFERENCES "conversation_messages" ("id") ON DELETE SET NULL,
"user_id" UUID NOT NULL REFERENCES "users" ("id") ON DELETE CASCADE
);
COMMENT ON TABLE "artifacts" IS 'A structured tool result (recipe, budget, note…) rendered in the artifact panel.';"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
DROP TABLE IF EXISTS "artifacts";"""
MODELS_STATE = (
"eJztXW1zo7YW/isaf9qdSXPjZJNuM3fujJN423QTJxN7b9/coRjkWDdYUASb9bT971cSYI"
"MQGGyDwasPbdZCR8Cjg3TOc46kvzpz24QWOb628WfoEt1DNu5cgr86WJ9D+g/p9SPQ0R1n"
"dZUVePrE4gJGrCa/ok+I5+qGRy9OdYtAWmRCYrjICW+GfctihbZBKyL8vCryMfrTh5pnP0"
"NvBl164bffaTHCJvwCSfTTedGmCFpm4rmRye7NyzVv4fCyT59ubz7wmux2E82wLX+OV7Wd"
"hTez8bK67yPzmMmwa88QQ1f3oBl7DfaU4WtHRcET0wLP9eHyUc1VgQmnum8xMDr/nvrYYB"
"gAfif2v3f/6ZSAh0LNoEXYY1j89U/wVqt35qUddqvrH3pPb84u3vK3tIn37PKLHJHOP1xQ"
"9/RAlOO6ApL/TUF5PdNdOZRRfQFM+qCbwBgVrHBc6VAEZATQZqh15voXzYL42ZvRn6fn5z"
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)
@@ -0,0 +1,259 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
CREATE TABLE IF NOT EXISTS "ynab_accounts" (
"id" VARCHAR(36) NOT NULL PRIMARY KEY,
"name" VARCHAR(255) NOT NULL,
"type" VARCHAR(50) NOT NULL,
"on_budget" BOOL NOT NULL,
"closed" BOOL NOT NULL,
"note" TEXT,
"balance" DECIMAL(15,3) NOT NULL,
"cleared_balance" DECIMAL(15,3) NOT NULL,
"uncleared_balance" DECIMAL(15,3) NOT NULL,
"last_reconciled_at" TIMESTAMPTZ,
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE TABLE IF NOT EXISTS "ynab_categories" (
"id" VARCHAR(36) NOT NULL PRIMARY KEY,
"category_group_id" VARCHAR(36) NOT NULL,
"name" VARCHAR(255) NOT NULL,
"hidden" BOOL NOT NULL,
"internal" BOOL NOT NULL DEFAULT False,
"note" TEXT,
"goal_type" VARCHAR(20),
"goal_target" DECIMAL(15,3),
"goal_target_month" DATE,
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE INDEX IF NOT EXISTS "idx_ynab_catego_categor_2fc4cc" ON "ynab_categories" ("category_group_id");
CREATE TABLE IF NOT EXISTS "ynab_category_groups" (
"id" VARCHAR(36) NOT NULL PRIMARY KEY,
"name" VARCHAR(255) NOT NULL,
"hidden" BOOL NOT NULL,
"internal" BOOL NOT NULL DEFAULT False,
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE TABLE IF NOT EXISTS "ynab_changes" (
"id" BIGSERIAL NOT NULL PRIMARY KEY,
"synced_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"server_knowledge" BIGINT NOT NULL,
"entity_type" VARCHAR(30) NOT NULL,
"entity_id" VARCHAR(64) NOT NULL,
"action" VARCHAR(10) NOT NULL,
"label" VARCHAR(500) NOT NULL,
"changes" JSONB NOT NULL
);
CREATE INDEX IF NOT EXISTS "idx_ynab_change_synced__77ae75" ON "ynab_changes" ("synced_at");
CREATE INDEX IF NOT EXISTS "idx_ynab_change_entity__c12b5b" ON "ynab_changes" ("entity_type");
CREATE INDEX IF NOT EXISTS "idx_ynab_change_entity__9fb442" ON "ynab_changes" ("entity_id");
COMMENT ON TABLE "ynab_changes" IS 'Append-only log of what each sync changed, built by diffing against the mirror.';
CREATE TABLE IF NOT EXISTS "ynab_months" (
"id" VARCHAR(10) NOT NULL PRIMARY KEY,
"month" DATE NOT NULL,
"note" TEXT,
"income" DECIMAL(15,3) NOT NULL,
"budgeted" DECIMAL(15,3) NOT NULL,
"activity" DECIMAL(15,3) NOT NULL,
"to_be_budgeted" DECIMAL(15,3) NOT NULL,
"age_of_money" INT,
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE INDEX IF NOT EXISTS "idx_ynab_months_month_483dcb" ON "ynab_months" ("month");
CREATE TABLE IF NOT EXISTS "ynab_month_categories" (
"id" VARCHAR(47) NOT NULL PRIMARY KEY,
"month" DATE NOT NULL,
"category_id" VARCHAR(36) NOT NULL,
"budgeted" DECIMAL(15,3) NOT NULL,
"activity" DECIMAL(15,3) NOT NULL,
"balance" DECIMAL(15,3) NOT NULL,
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE INDEX IF NOT EXISTS "idx_ynab_month__month_f13a79" ON "ynab_month_categories" ("month");
CREATE INDEX IF NOT EXISTS "idx_ynab_month__categor_a62299" ON "ynab_month_categories" ("category_id");
COMMENT ON TABLE "ynab_month_categories" IS 'Per-month category amounts. ``budgeted`` is what YNAB calls \"Assigned\".';
CREATE TABLE IF NOT EXISTS "ynab_payees" (
"id" VARCHAR(36) NOT NULL PRIMARY KEY,
"name" VARCHAR(500) NOT NULL,
"transfer_account_id" VARCHAR(36),
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE TABLE IF NOT EXISTS "ynab_subtransactions" (
"id" VARCHAR(64) NOT NULL PRIMARY KEY,
"transaction_id" VARCHAR(64) NOT NULL,
"amount" DECIMAL(15,3) NOT NULL,
"memo" TEXT,
"payee_id" VARCHAR(36),
"category_id" VARCHAR(36),
"transfer_account_id" VARCHAR(36),
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE INDEX IF NOT EXISTS "idx_ynab_subtra_transac_0571ba" ON "ynab_subtransactions" ("transaction_id");
CREATE INDEX IF NOT EXISTS "idx_ynab_subtra_categor_c16c94" ON "ynab_subtransactions" ("category_id");
COMMENT ON TABLE "ynab_subtransactions" IS 'Lines of a split transaction; the parent''s category is \"Split\".';
CREATE TABLE IF NOT EXISTS "ynab_sync_state" (
"budget_id" VARCHAR(64) NOT NULL PRIMARY KEY,
"budget_name" VARCHAR(255),
"server_knowledge" BIGINT,
"last_synced_at" TIMESTAMPTZ,
"last_full_sync_at" TIMESTAMPTZ,
"last_error" TEXT
);
CREATE TABLE IF NOT EXISTS "ynab_transactions" (
"id" VARCHAR(64) NOT NULL PRIMARY KEY,
"date" DATE NOT NULL,
"amount" DECIMAL(15,3) NOT NULL,
"memo" TEXT,
"cleared" VARCHAR(20) NOT NULL,
"approved" BOOL NOT NULL,
"flag_color" VARCHAR(20),
"account_id" VARCHAR(36) NOT NULL,
"payee_id" VARCHAR(36),
"category_id" VARCHAR(36),
"transfer_account_id" VARCHAR(36),
"import_payee_name" VARCHAR(500),
"account_name" VARCHAR(255),
"payee_name" VARCHAR(500),
"category_name" VARCHAR(255),
"deleted" BOOL NOT NULL DEFAULT False
);
CREATE INDEX IF NOT EXISTS "idx_ynab_transa_date_a71ead" ON "ynab_transactions" ("date");
CREATE INDEX IF NOT EXISTS "idx_ynab_transa_account_414dfe" ON "ynab_transactions" ("account_id");
CREATE INDEX IF NOT EXISTS "idx_ynab_transa_payee_i_4146bc" ON "ynab_transactions" ("payee_id");
CREATE INDEX IF NOT EXISTS "idx_ynab_transa_categor_232d47" ON "ynab_transactions" ("category_id");
ALTER TABLE "users" ALTER COLUMN "ldap_groups" TYPE JSONB USING "ldap_groups"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "tags" TYPE JSONB USING "tags"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "cuisine" TYPE JSONB USING "cuisine"::JSONB;
ALTER TABLE "artifacts" ALTER COLUMN "data" TYPE JSONB USING "data"::JSONB;
ALTER TABLE "artifacts" ALTER COLUMN "source_ref" TYPE JSONB USING "source_ref"::JSONB;"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
ALTER TABLE "users" ALTER COLUMN "ldap_groups" TYPE JSONB USING "ldap_groups"::JSONB;
ALTER TABLE "artifacts" ALTER COLUMN "data" TYPE JSONB USING "data"::JSONB;
ALTER TABLE "artifacts" ALTER COLUMN "source_ref" TYPE JSONB USING "source_ref"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "tags" TYPE JSONB USING "tags"::JSONB;
ALTER TABLE "beli_restaurants" ALTER COLUMN "cuisine" TYPE JSONB USING "cuisine"::JSONB;
DROP TABLE IF EXISTS "ynab_category_groups";
DROP TABLE IF EXISTS "ynab_month_categories";
DROP TABLE IF EXISTS "ynab_accounts";
DROP TABLE IF EXISTS "ynab_sync_state";
DROP TABLE IF EXISTS "ynab_categories";
DROP TABLE IF EXISTS "ynab_months";
DROP TABLE IF EXISTS "ynab_subtransactions";
DROP TABLE IF EXISTS "ynab_changes";
DROP TABLE IF EXISTS "ynab_payees";
DROP TABLE IF EXISTS "ynab_transactions";"""
MODELS_STATE = (
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)
@@ -0,0 +1,112 @@
from tortoise import BaseDBAsyncClient
RUN_IN_TRANSACTION = True
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
CREATE TABLE IF NOT EXISTS "user_memories" (
"id" UUID NOT NULL PRIMARY KEY,
"content" TEXT NOT NULL,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"user_id" UUID NOT NULL REFERENCES "users" ("id") ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS "email_accounts" (
"id" UUID NOT NULL PRIMARY KEY,
"email_address" VARCHAR(255) NOT NULL UNIQUE,
"display_name" VARCHAR(255),
"imap_host" VARCHAR(255) NOT NULL,
"imap_port" INT NOT NULL DEFAULT 993,
"imap_username" VARCHAR(255) NOT NULL,
"imap_password" TEXT NOT NULL,
"is_active" BOOL NOT NULL DEFAULT True,
"last_error" TEXT,
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"user_id" UUID NOT NULL REFERENCES "users" ("id") ON DELETE CASCADE
);
COMMENT ON TABLE "email_accounts" IS 'Email account configuration for IMAP connections.';
CREATE TABLE IF NOT EXISTS "emails" (
"id" UUID NOT NULL PRIMARY KEY,
"message_id" VARCHAR(255) NOT NULL UNIQUE,
"subject" VARCHAR(500) NOT NULL,
"from_address" VARCHAR(255) NOT NULL,
"to_address" TEXT NOT NULL,
"date" TIMESTAMPTZ NOT NULL,
"body_text" TEXT,
"body_html" TEXT,
"chromadb_doc_id" VARCHAR(255),
"created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"expires_at" TIMESTAMPTZ NOT NULL,
"account_id" UUID NOT NULL REFERENCES "email_accounts" ("id") ON DELETE CASCADE
);
CREATE INDEX IF NOT EXISTS "idx_emails_message_981ddd" ON "emails" ("message_id");
COMMENT ON TABLE "emails" IS 'Email message metadata and content.';
CREATE TABLE IF NOT EXISTS "email_sync_status" (
"id" UUID NOT NULL PRIMARY KEY,
"last_sync_date" TIMESTAMPTZ,
"last_message_uid" INT NOT NULL DEFAULT 0,
"message_count" INT NOT NULL DEFAULT 0,
"consecutive_failures" INT NOT NULL DEFAULT 0,
"last_failure_date" TIMESTAMPTZ,
"updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
"account_id" UUID NOT NULL REFERENCES "email_accounts" ("id") ON DELETE CASCADE
);
COMMENT ON TABLE "email_sync_status" IS 'Tracks sync progress and state per email account.';"""
async def downgrade(db: BaseDBAsyncClient) -> str:
return """
DROP TABLE IF EXISTS "user_memories";
DROP TABLE IF EXISTS "email_accounts";
DROP TABLE IF EXISTS "emails";
DROP TABLE IF EXISTS "email_sync_status";"""
MODELS_STATE = (
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)
+2
View File
@@ -23,3 +23,5 @@ nav:
- Home: index.md
- Architecture:
- Authentication: authentication.md
- Desktop Client (proposal): desktop-client.md
- Cowork UI plan: cowork-ui-plan.md
+10 -3
View File
@@ -5,7 +5,8 @@ description = "Add your description here"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"chromadb>=1.1.0",
"langchain-postgres>=0.0.13",
"psycopg[binary]>=3.1.0",
"python-dotenv>=1.0.0",
"flask>=3.1.2",
"httpx>=0.28.1",
@@ -30,16 +31,22 @@ dependencies = [
"asyncpg>=0.30.0",
"langchain-openai>=1.1.6",
"langchain>=1.2.0",
"langchain-chroma>=1.0.0",
"langchain-community>=0.4.1",
"langgraph-checkpoint-sqlite>=2.0.0",
"aiosqlite>=0.20.0",
"jq>=1.10.0",
"tavily-python>=0.7.17",
"ynab>=1.3.0",
"aioimaplib>=2.0.1",
"html2text>=2025.4.15",
"ollama>=0.6.1",
"twilio>=9.10.2",
"aioboto3>=13.0.0",
"prometheus-client>=0.26.0",
"google-api-python-client>=2.0.0",
"google-auth-oauthlib>=1.0.0",
"google-auth-httplib2>=0.2.0",
"langchain-mcp-adapters>=0.3.2",
"sqlglot>=30.22.0",
]
[project.optional-dependencies]
+2
View File
@@ -20,6 +20,8 @@
"react": "^19.1.1",
"react-dom": "^19.1.1",
"react-markdown": "^10.1.0",
"react-router-dom": "^7.18.3",
"remark-gfm": "^4.0.1",
"tailwind-merge": "^3.5.0",
"watch": "^1.0.2"
},
+32 -1
View File
@@ -60,7 +60,7 @@ body {
::-webkit-scrollbar-thumb { background: var(--color-sand); border-radius: 99px; }
::-webkit-scrollbar-thumb:hover { background: var(--color-warm-gray); }
/* ── Markdown in answer bubbles ─────────────────────── */
/* ── Markdown in assistant answers ──────────────────── */
.markdown-content p { margin: 0.5em 0; line-height: 1.7; }
.markdown-content p:first-child { margin-top: 0; }
.markdown-content p:last-child { margin-bottom: 0; }
@@ -117,6 +117,29 @@ body {
.markdown-content strong { font-weight: 700; }
.markdown-content em { font-style: italic; }
.markdown-content table {
width: 100%;
border-collapse: collapse;
margin: 0.75em 0;
font-size: 0.9em;
display: block;
overflow-x: auto;
}
.markdown-content th,
.markdown-content td {
border: 1px solid var(--color-sand-light);
padding: 0.4em 0.6em;
text-align: left;
vertical-align: top;
}
.markdown-content thead th {
background: var(--color-sand-light);
font-weight: 700;
}
.markdown-content tbody tr:nth-child(even) {
background: color-mix(in srgb, var(--color-sand-light) 35%, transparent);
}
/* ── Animations ─────────────────────────────────────── */
@keyframes fadeSlideUp {
from { opacity: 0; transform: translateY(10px); }
@@ -126,6 +149,14 @@ body {
animation: fadeSlideUp 0.3s ease-out forwards;
}
@keyframes drawer-in {
from { transform: translateX(-100%); }
to { transform: translateX(0); }
}
.animate-drawer-in {
animation: drawer-in 0.25s ease-out;
}
@keyframes catPulse {
0%, 80%, 100% { opacity: 0.25; transform: scale(0.75); }
40% { opacity: 1; transform: scale(1); }
+20 -44
View File
@@ -1,48 +1,15 @@
import { useState, useEffect } from "react";
import { Route, Routes } from "react-router-dom";
import "./App.css";
import { AuthProvider } from "./contexts/AuthContext";
import { ChatScreen } from "./components/ChatScreen";
import { ConversationsPage } from "./components/ConversationsPage";
import { LoginScreen } from "./components/LoginScreen";
import { conversationService } from "./api/conversationService";
import { useAuthCheck } from "./hooks/useAuthCheck";
import catIcon from "./assets/cat.png";
const AppContainer = () => {
const [isAuthenticated, setAuthenticated] = useState<boolean>(false);
const [isChecking, setIsChecking] = useState<boolean>(true);
const { isAuthenticated, isChecking, isAdmin, setAuthenticated } = useAuthCheck();
useEffect(() => {
const checkAuth = async () => {
const accessToken = localStorage.getItem("access_token");
const refreshToken = localStorage.getItem("refresh_token");
// No tokens at all, not authenticated
if (!accessToken && !refreshToken) {
setIsChecking(false);
setAuthenticated(false);
return;
}
// Try to verify token by making a request
try {
await conversationService.getAllConversations();
// If successful, user is authenticated
setAuthenticated(true);
} catch (error) {
// Token is invalid or expired
console.error("Authentication check failed:", error);
localStorage.removeItem("access_token");
localStorage.removeItem("refresh_token");
setAuthenticated(false);
} finally {
setIsChecking(false);
}
};
checkAuth();
}, []);
// Show loading state while checking authentication
if (isChecking) {
return (
<div className="h-screen flex flex-col items-center justify-center bg-cream gap-4">
@@ -58,14 +25,23 @@ const AppContainer = () => {
);
}
if (!isAuthenticated) {
return <LoginScreen setAuthenticated={setAuthenticated} />;
}
return (
<>
{isAuthenticated ? (
<ChatScreen setAuthenticated={setAuthenticated} />
) : (
<LoginScreen setAuthenticated={setAuthenticated} />
)}
</>
<Routes>
<Route path="/conversations" element={<ConversationsPage />} />
{/* One ChatScreen instance serves both the home ("/") and per-conversation
("/c/:id") routes. Using a single catch-all route keeps that instance
mounted across the navigate() that fires when the first message creates
a conversation — a remount here would abort the in-flight SSE stream
(and drop the answer before it's persisted). */}
<Route
path="*"
element={<ChatScreen setAuthenticated={setAuthenticated} isAdmin={isAdmin} />}
/>
</Routes>
);
};
+57 -20
View File
@@ -1,17 +1,20 @@
import { userService } from "./userService";
export type SSEEvent =
| { type: "thinking" }
| { type: "thinking_delta"; delta: string }
| { type: "tool_start"; tool: string }
| { type: "tool_end"; tool: string }
| { type: "content"; delta: string }
| { type: "response"; message: string }
| { type: "error"; message: string };
| { type: "error"; message: string; stalled?: boolean };
export type SSEEventCallback = (event: SSEEvent) => void;
interface Message {
id: string;
text: string;
speaker: "user" | "simba";
speaker: "user" | "simba" | "tool";
created_at: string;
image_key?: string | null;
}
@@ -25,18 +28,10 @@ interface Conversation {
user_id?: string;
}
interface QueryRequest {
query: string;
}
interface QueryResponse {
response: string;
}
interface CreateConversationRequest {
user_id: string;
}
class ConversationService {
private baseUrl = "/api";
private conversationBaseUrl = "/api/conversation";
@@ -46,7 +41,7 @@ class ConversationService {
conversation_id: string,
signal?: AbortSignal,
): Promise<QueryResponse> {
const response = await userService.fetchWithRefreshToken(
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/query`,
{
method: "POST",
@@ -63,7 +58,7 @@ class ConversationService {
}
async getMessages(): Promise<Conversation> {
const response = await userService.fetchWithRefreshToken(
const response = await userService.fetchWithAuth(
`${this.baseUrl}/messages`,
{
method: "GET",
@@ -78,7 +73,7 @@ class ConversationService {
}
async getConversation(conversationId: string): Promise<Conversation> {
const response = await userService.fetchWithRefreshToken(
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/${conversationId}`,
{
method: "GET",
@@ -93,7 +88,7 @@ class ConversationService {
}
async createConversation(): Promise<Conversation> {
const response = await userService.fetchWithRefreshToken(
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/`,
{
method: "POST",
@@ -107,9 +102,51 @@ class ConversationService {
return await response.json();
}
async getAllConversations(): Promise<Conversation[]> {
const response = await userService.fetchWithRefreshToken(
`${this.conversationBaseUrl}/`,
async renameConversation(
conversationId: string,
name: string,
): Promise<Conversation> {
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/${conversationId}`,
{
method: "PATCH",
body: JSON.stringify({ name }),
},
);
if (!response.ok) {
throw new Error("Failed to rename conversation");
}
return await response.json();
}
async deleteConversation(conversationId: string): Promise<void> {
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/${conversationId}`,
{
method: "DELETE",
},
);
if (!response.ok) {
throw new Error("Failed to delete conversation");
}
}
async getAllConversations(params?: {
limit?: number;
offset?: number;
search?: string;
}): Promise<Conversation[]> {
const search = new URLSearchParams();
if (params?.limit != null) search.set("limit", String(params.limit));
if (params?.offset != null) search.set("offset", String(params.offset));
if (params?.search) search.set("search", params.search);
const qs = search.toString();
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/${qs ? `?${qs}` : ""}`,
{
method: "GET",
},
@@ -130,7 +167,7 @@ class ConversationService {
formData.append("file", file);
formData.append("conversation_id", conversationId);
const response = await userService.fetchWithRefreshToken(
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/upload-image`,
{
method: "POST",
@@ -148,7 +185,7 @@ class ConversationService {
}
async getPresignedImageUrl(imageKey: string): Promise<string> {
const response = await userService.fetchWithRefreshToken(
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/image/${imageKey}`,
);
if (!response.ok) {
@@ -170,7 +207,7 @@ class ConversationService {
body.image_key = imageKey;
}
const response = await userService.fetchWithRefreshToken(
const response = await userService.fetchWithAuth(
`${this.conversationBaseUrl}/stream-query`,
{
method: "POST",
+5 -8
View File
@@ -24,14 +24,11 @@ class OIDCService {
* Initiate OIDC login flow
* Returns authorization URL to redirect user to
*/
async initiateLogin(redirectAfterLogin: string = "/"): Promise<string> {
const response = await fetch(
`${this.baseUrl}/login?redirect=${encodeURIComponent(redirectAfterLogin)}`,
{
method: "GET",
headers: { "Content-Type": "application/json" },
}
);
async initiateLogin(): Promise<string> {
const response = await fetch(`${this.baseUrl}/login`, {
method: "GET",
headers: { "Content-Type": "application/json" },
});
if (!response.ok) {
throw new Error("Failed to initiate OIDC login");
@@ -0,0 +1,72 @@
import { userService } from "./userService";
export interface ScheduledMessage {
id: string;
recipient: string;
channel: "imessage" | "email";
content: string;
subject: string | null;
scheduled_at: string;
status: "pending" | "sent" | "failed" | "cancelled";
recurrence: "none" | "daily" | "weekly" | "monthly";
use_agent: boolean;
error_message: string | null;
created_at: string;
updated_at: string;
}
export interface CreateScheduledMessage {
recipient: string;
channel: "imessage" | "email";
content: string;
subject?: string;
scheduled_at: string;
recurrence?: "none" | "daily" | "weekly" | "monthly";
use_agent?: boolean;
}
class ScheduledMessageService {
private baseUrl = "/api/scheduled-messages";
async list(): Promise<ScheduledMessage[]> {
const response = await userService.fetchWithAuth(`${this.baseUrl}/`);
if (!response.ok) throw new Error("Failed to list scheduled messages");
return response.json();
}
async create(data: CreateScheduledMessage): Promise<ScheduledMessage> {
const response = await userService.fetchWithAuth(`${this.baseUrl}/`, {
method: "POST",
body: JSON.stringify(data),
});
if (!response.ok) {
const err = await response.json();
throw new Error(err.error ?? "Failed to create scheduled message");
}
return response.json();
}
async update(id: string, data: Partial<CreateScheduledMessage> & { status?: string }): Promise<ScheduledMessage> {
const response = await userService.fetchWithAuth(`${this.baseUrl}/${id}`, {
method: "PUT",
body: JSON.stringify(data),
});
if (!response.ok) {
const err = await response.json();
throw new Error(err.error ?? "Failed to update scheduled message");
}
return response.json();
}
async remove(id: string): Promise<void> {
const response = await userService.fetchWithAuth(`${this.baseUrl}/${id}`, {
method: "DELETE",
});
if (!response.ok) {
const err = await response.json();
throw new Error(err.error ?? "Failed to delete scheduled message");
}
}
}
export const scheduledMessageService = new ScheduledMessageService();
+50 -55
View File
@@ -29,7 +29,22 @@ class UserService {
return await response.json();
}
private refreshInFlight: Promise<string> | null = null;
/**
* Exchange the refresh token for a new access token. The refresh token is
* only ever sent here. Concurrent callers share one in-flight request.
*/
async refreshToken(): Promise<string> {
if (!this.refreshInFlight) {
this.refreshInFlight = this.doRefresh().finally(() => {
this.refreshInFlight = null;
});
}
return this.refreshInFlight;
}
private async doRefresh(): Promise<string> {
const refreshToken = localStorage.getItem("refresh_token");
if (!refreshToken) {
@@ -71,85 +86,65 @@ class UserService {
}
}
/**
* Authenticated fetch: sends the access token and, on a 401 (expired or
* missing access token), refreshes once and retries. With no stored access
* token it refreshes up front instead of making a doomed request.
*/
async fetchWithAuth(
url: string,
options: RequestInit = {},
): Promise<Response> {
const accessToken = localStorage.getItem("access_token");
// Add authorization header
const headers = {
"Content-Type": "application/json",
...(options.headers || {}),
...(accessToken && { Authorization: `Bearer ${accessToken}` }),
};
let response = await fetch(url, { ...options, headers });
// If unauthorized, try refreshing the token
if (response.status === 401) {
try {
const newAccessToken = await this.refreshToken();
// Retry the request with new token
headers.Authorization = `Bearer ${newAccessToken}`;
response = await fetch(url, { ...options, headers });
} catch (error) {
// Refresh failed, redirect to login or throw error
throw new Error("Session expired. Please log in again.");
}
}
return response;
}
async fetchWithRefreshToken(
url: string,
options: RequestInit = {},
{ skipContentType = false }: { skipContentType?: boolean } = {},
): Promise<Response> {
const refreshToken = localStorage.getItem("refresh_token");
// Add authorization header
const headers: Record<string, string> = {
const buildHeaders = (token: string | null): Record<string, string> => ({
...(skipContentType ? {} : { "Content-Type": "application/json" }),
...((options.headers as Record<string, string>) || {}),
...(refreshToken ? { Authorization: `Bearer ${refreshToken}` } : {}),
};
...(token ? { Authorization: `Bearer ${token}` } : {}),
});
let response = await fetch(url, { ...options, headers });
// If unauthorized, try refreshing the token
if (response.status === 401) {
const refreshOrExpire = async (): Promise<string> => {
try {
const newAccessToken = await this.refreshToken();
// Retry the request with new token
headers.Authorization = `Bearer ${newAccessToken}`;
response = await fetch(url, { ...options, headers });
} catch (error) {
// Refresh failed, redirect to login or throw error
return await this.refreshToken();
} catch {
throw new Error("Session expired. Please log in again.");
}
};
let accessToken = localStorage.getItem("access_token");
if (!accessToken) {
accessToken = await refreshOrExpire();
}
let response = await fetch(url, {
...options,
headers: buildHeaders(accessToken),
});
if (response.status === 401) {
accessToken = await refreshOrExpire();
response = await fetch(url, {
...options,
headers: buildHeaders(accessToken),
});
}
return response;
}
async getMe(): Promise<{ id: string; username: string; email: string; is_admin: boolean }> {
const response = await this.fetchWithRefreshToken(`${this.baseUrl}/me`);
const response = await this.fetchWithAuth(`${this.baseUrl}/me`);
if (!response.ok) throw new Error("Failed to fetch user profile");
return response.json();
}
async adminListUsers(): Promise<AdminUserRecord[]> {
const response = await this.fetchWithRefreshToken(`${this.baseUrl}/admin/users`);
const response = await this.fetchWithAuth(`${this.baseUrl}/admin/users`);
if (!response.ok) throw new Error("Failed to list users");
return response.json();
}
async adminSetWhatsapp(userId: string, number: string): Promise<AdminUserRecord> {
const response = await this.fetchWithRefreshToken(
const response = await this.fetchWithAuth(
`${this.baseUrl}/admin/users/${userId}/whatsapp`,
{ method: "PUT", body: JSON.stringify({ whatsapp_number: number }) },
);
@@ -162,7 +157,7 @@ class UserService {
}
async adminUnlinkWhatsapp(userId: string): Promise<void> {
const response = await this.fetchWithRefreshToken(
const response = await this.fetchWithAuth(
`${this.baseUrl}/admin/users/${userId}/whatsapp`,
{ method: "DELETE" },
);
@@ -170,7 +165,7 @@ class UserService {
}
async adminToggleEmail(userId: string): Promise<AdminUserRecord> {
const response = await this.fetchWithRefreshToken(
const response = await this.fetchWithAuth(
`${this.baseUrl}/admin/users/${userId}/email`,
{ method: "PUT" },
);
@@ -179,7 +174,7 @@ class UserService {
}
async adminDisableEmail(userId: string): Promise<void> {
const response = await this.fetchWithRefreshToken(
const response = await this.fetchWithAuth(
`${this.baseUrl}/admin/users/${userId}/email`,
{ method: "DELETE" },
);
+15 -29
View File
@@ -1,4 +1,4 @@
import { useEffect, useState } from "react";
import { useState } from "react";
import { X, Phone, PhoneOff, Pencil, Check, Mail, Copy } from "lucide-react";
import { userService, type AdminUserRecord } from "../api/userService";
import { cn } from "../lib/utils";
@@ -12,27 +12,19 @@ import {
TableHeader,
TableRow,
} from "./ui/table";
import { useAdminUsers } from "../hooks/useAdminUsers";
type Props = {
onClose: () => void;
};
export const AdminPanel = ({ onClose }: Props) => {
const [users, setUsers] = useState<AdminUserRecord[]>([]);
const [loading, setLoading] = useState(true);
const { users, loading, updateUser } = useAdminUsers();
const [editingId, setEditingId] = useState<string | null>(null);
const [editValue, setEditValue] = useState("");
const [rowError, setRowError] = useState<Record<string, string>>({});
const [rowSuccess, setRowSuccess] = useState<Record<string, string>>({});
useEffect(() => {
userService
.adminListUsers()
.then(setUsers)
.catch(() => {})
.finally(() => setLoading(false));
}, []);
const startEdit = (user: AdminUserRecord) => {
setEditingId(user.id);
setEditValue(user.whatsapp_number ?? "");
@@ -49,8 +41,8 @@ export const AdminPanel = ({ onClose }: Props) => {
setRowError((p) => ({ ...p, [userId]: "" }));
try {
const updated = await userService.adminSetWhatsapp(userId, editValue);
setUsers((p) => p.map((u) => (u.id === userId ? updated : u)));
setRowSuccess((p) => ({ ...p, [userId]: "Saved ✓" }));
updateUser(userId, () => updated);
setRowSuccess((p) => ({ ...p, [userId]: "Saved" }));
setEditingId(null);
setTimeout(() => setRowSuccess((p) => ({ ...p, [userId]: "" })), 2000);
} catch (err) {
@@ -65,10 +57,8 @@ export const AdminPanel = ({ onClose }: Props) => {
setRowError((p) => ({ ...p, [userId]: "" }));
try {
await userService.adminUnlinkWhatsapp(userId);
setUsers((p) =>
p.map((u) => (u.id === userId ? { ...u, whatsapp_number: null } : u)),
);
setRowSuccess((p) => ({ ...p, [userId]: "Unlinked ✓" }));
updateUser(userId, (u) => ({ ...u, whatsapp_number: null }));
setRowSuccess((p) => ({ ...p, [userId]: "Unlinked" }));
setTimeout(() => setRowSuccess((p) => ({ ...p, [userId]: "" })), 2000);
} catch (err) {
setRowError((p) => ({
@@ -82,8 +72,8 @@ export const AdminPanel = ({ onClose }: Props) => {
setRowError((p) => ({ ...p, [userId]: "" }));
try {
const updated = await userService.adminToggleEmail(userId);
setUsers((p) => p.map((u) => (u.id === userId ? updated : u)));
setRowSuccess((p) => ({ ...p, [userId]: "Email enabled ✓" }));
updateUser(userId, () => updated);
setRowSuccess((p) => ({ ...p, [userId]: "Email enabled" }));
setTimeout(() => setRowSuccess((p) => ({ ...p, [userId]: "" })), 2000);
} catch (err) {
setRowError((p) => ({
@@ -97,10 +87,8 @@ export const AdminPanel = ({ onClose }: Props) => {
setRowError((p) => ({ ...p, [userId]: "" }));
try {
await userService.adminDisableEmail(userId);
setUsers((p) =>
p.map((u) => (u.id === userId ? { ...u, email_enabled: false, email_address: null } : u)),
);
setRowSuccess((p) => ({ ...p, [userId]: "Email disabled ✓" }));
updateUser(userId, (u) => ({ ...u, email_enabled: false, email_address: null }));
setRowSuccess((p) => ({ ...p, [userId]: "Email disabled" }));
setTimeout(() => setRowSuccess((p) => ({ ...p, [userId]: "" })), 2000);
} catch (err) {
setRowError((p) => ({
@@ -112,7 +100,7 @@ export const AdminPanel = ({ onClose }: Props) => {
const copyToClipboard = (text: string, userId: string) => {
navigator.clipboard.writeText(text);
setRowSuccess((p) => ({ ...p, [userId]: "Copied ✓" }));
setRowSuccess((p) => ({ ...p, [userId]: "Copied" }));
setTimeout(() => setRowSuccess((p) => ({ ...p, [userId]: "" })), 2000);
};
@@ -128,7 +116,6 @@ export const AdminPanel = ({ onClose }: Props) => {
"border border-sand-light/60",
)}
>
{/* Header */}
<div className="flex items-center justify-between px-6 py-4 border-b border-sand-light/60">
<div className="flex items-center gap-2.5">
<div className="w-8 h-8 rounded-xl bg-leaf-pale flex items-center justify-center">
@@ -146,7 +133,6 @@ export const AdminPanel = ({ onClose }: Props) => {
</button>
</div>
{/* Body */}
<div className="overflow-y-auto flex-1 rounded-b-3xl">
{loading ? (
<div className="px-6 py-12 text-center text-warm-gray text-sm">
@@ -155,7 +141,7 @@ export const AdminPanel = ({ onClose }: Props) => {
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
</div>
Loading users…
Loading users...
</div>
) : (
<Table>
@@ -204,7 +190,7 @@ export const AdminPanel = ({ onClose }: Props) => {
: "text-warm-gray/40 italic",
)}
>
{user.whatsapp_number ?? "—"}
{user.whatsapp_number ?? "\u2014"}
</span>
{rowSuccess[user.id] && (
<span className="text-xs text-leaf-dark">
@@ -235,7 +221,7 @@ export const AdminPanel = ({ onClose }: Props) => {
</button>
</div>
) : (
<span className="text-sm text-warm-gray/40 italic">—</span>
<span className="text-sm text-warm-gray/40 italic">\u2014</span>
)}
</div>
</TableCell>
+38 -28
View File
@@ -1,39 +1,49 @@
import React, { useState } from "react";
import ReactMarkdown from "react-markdown";
import { cn } from "../lib/utils";
import remarkGfm from "remark-gfm";
import { Copy, Check } from "lucide-react";
type AnswerBubbleProps = {
text: string;
loading?: boolean;
};
export const AnswerBubble = ({ text, loading }: AnswerBubbleProps) => {
return (
<div className="flex justify-start message-enter">
<div
className={cn(
"max-w-[78%] rounded-3xl rounded-bl-md",
"bg-warm-white border border-sand-light/70",
"shadow-sm shadow-sand/30",
"overflow-hidden",
)}
>
{/* amber accent bar */}
<div className="h-0.5 w-full bg-gradient-to-r from-amber-soft via-amber-glow/50 to-transparent" />
export const AnswerBubble = React.memo(({ text, loading }: AnswerBubbleProps) => {
const [copied, setCopied] = useState(false);
<div className="px-4 py-3">
{loading ? (
<div className="flex items-center gap-1.5 py-1 px-1">
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
</div>
) : (
<div className="markdown-content text-sm leading-relaxed text-charcoal">
<ReactMarkdown>{text}</ReactMarkdown>
</div>
)}
const handleCopy = async (event: React.MouseEvent) => {
event.stopPropagation();
try {
await navigator.clipboard.writeText(text);
setCopied(true);
setTimeout(() => setCopied(false), 2000);
} catch {
// Clipboard unavailable (e.g. insecure context) — ignore
}
};
return (
<div className="message-enter">
{loading ? (
<div className="flex items-center gap-1.5 py-1">
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
<span className="loading-dot w-2 h-2 rounded-full bg-amber-soft inline-block" />
</div>
</div>
) : (
<div className="group relative -mx-3 -my-2 rounded-xl px-3 py-2 transition-colors duration-150 hover:bg-amber-soft/10">
<div className="markdown-content text-[15px] leading-relaxed text-charcoal">
<ReactMarkdown remarkPlugins={[remarkGfm]}>{text}</ReactMarkdown>
</div>
<button
onClick={handleCopy}
aria-label={copied ? "Copied" : "Copy message"}
className="absolute top-0 right-0 flex h-7 w-7 items-center justify-center rounded-lg border border-sand-light/60 bg-warm-white text-warm-gray shadow-sm opacity-0 transition-opacity duration-150 group-hover:opacity-100 hover:text-charcoal hover:bg-cream-dark focus:opacity-100 focus:outline-none cursor-pointer"
>
{copied ? <Check size={14} className="text-green-600" /> : <Copy size={14} />}
</button>
</div>
)}
</div>
);
};
});
+219 -312
View File
@@ -1,239 +1,119 @@
import { useCallback, useEffect, useState, useRef } from "react";
import { LogOut, Shield, PanelLeftClose, PanelLeftOpen, Menu, X } from "lucide-react";
import { conversationService } from "../api/conversationService";
import { userService } from "../api/userService";
import React, { useCallback, useState, useRef } from "react";
import { useNavigate } from "react-router-dom";
import { PanelLeftOpen, Menu, X } from "lucide-react";
import { QuestionBubble } from "./QuestionBubble";
import { AnswerBubble } from "./AnswerBubble";
import { ToolBubble } from "./ToolBubble";
import { ThinkingBubble } from "./ThinkingBubble";
import { MessageInput } from "./MessageInput";
import { ConversationList } from "./ConversationList";
import { SidebarContent } from "./SidebarContent";
import { AdminPanel } from "./AdminPanel";
import { ScheduledMessagesPanel } from "./ScheduledMessagesPanel";
import { cn } from "../lib/utils";
import { useConversations } from "../hooks/useConversations";
import { useChat } from "../hooks/useChat";
import catIcon from "../assets/cat.png";
type Message = {
text: string;
speaker: "simba" | "user" | "tool";
image_key?: string | null;
};
type Conversation = {
title: string;
id: string;
};
type ChatScreenProps = {
setAuthenticated: (isAuth: boolean) => void;
isAdmin: boolean;
};
const TOOL_MESSAGES: Record<string, string> = {
simba_search: "🔍 Searching Simba's records...",
web_search: "🌐 Searching the web...",
get_current_date: "📅 Checking today's date...",
ynab_budget_summary: "💰 Checking budget summary...",
ynab_search_transactions: "💳 Looking up transactions...",
ynab_category_spending: "📊 Analyzing category spending...",
ynab_insights: "📈 Generating budget insights...",
obsidian_search_notes: "📝 Searching notes...",
obsidian_read_note: "📖 Reading note...",
obsidian_create_note: "✏️ Saving note...",
obsidian_create_task: "✅ Creating task...",
journal_get_today: "📔 Reading today's journal...",
journal_get_tasks: "📋 Getting tasks...",
journal_add_task: "➕ Adding task...",
journal_complete_task: "✔️ Completing task...",
};
export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
const [query, setQuery] = useState<string>("");
const [simbaMode, setSimbaMode] = useState<boolean>(false);
const [messages, setMessages] = useState<Message[]>([]);
const [conversations, setConversations] = useState<Conversation[]>([]);
const [showConversations, setShowConversations] = useState<boolean>(false);
const [selectedConversation, setSelectedConversation] =
useState<Conversation | null>(null);
const [sidebarCollapsed, setSidebarCollapsed] = useState<boolean>(false);
const [isLoading, setIsLoading] = useState<boolean>(false);
const [isAdmin, setIsAdmin] = useState<boolean>(false);
const [showAdminPanel, setShowAdminPanel] = useState<boolean>(false);
const [pendingImage, setPendingImage] = useState<File | null>(null);
export const ChatScreen = ({ setAuthenticated, isAdmin }: ChatScreenProps) => {
const navigate = useNavigate();
const [query, setQuery] = useState("");
const [simbaMode, setSimbaMode] = useState(false);
const [showConversations, setShowConversations] = useState(false);
const [sidebarCollapsed, setSidebarCollapsed] = useState(false);
const [showAdminPanel, setShowAdminPanel] = useState(false);
const [showScheduler, setShowScheduler] = useState(false);
const messagesEndRef = useRef<HTMLDivElement>(null);
const isMountedRef = useRef<boolean>(true);
const abortControllerRef = useRef<AbortController | null>(null);
const simbaAnswers = ["meow.", "hiss...", "purrrrrr", "yowOWROWWowowr"];
const isLoadingRef = useRef(false);
const scrollToBottom = useCallback(() => {
requestAnimationFrame(() => {
messagesEndRef.current?.scrollIntoView({
behavior: isLoading ? "instant" : "smooth",
behavior: isLoadingRef.current ? "instant" : "smooth",
});
});
}, [isLoading]);
useEffect(() => {
isMountedRef.current = true;
return () => {
isMountedRef.current = false;
abortControllerRef.current?.abort();
};
}, []);
const handleSelectConversation = (conversation: Conversation) => {
const {
conversations,
selectedConversation,
createConversation,
renameConversation,
deleteConversation,
refreshConversations,
} = useConversations();
const onSessionExpired = useCallback(() => setAuthenticated(false), [setAuthenticated]);
const {
messages,
isLoading,
streaming,
thinking,
messagesLoading,
pendingImage,
setPendingImage,
sendMessage,
stopGeneration,
error,
clearError,
stalled,
retryStalled,
thinkingText,
thinkingDurationMs,
} = useChat({
createConversation,
refreshConversations,
onSessionExpired,
scrollToBottom,
});
// Keep ref in sync for scrollToBottom behavior
isLoadingRef.current = isLoading;
const handleSelectConversation = useCallback(
(conversation: { title: string; id: string }) => {
setShowConversations(false);
navigate(`/c/${conversation.id}`);
},
[navigate],
);
const handleCreateNewConversation = useCallback(() => {
setShowConversations(false);
setSelectedConversation(conversation);
const load = async () => {
try {
const fetched = await conversationService.getConversation(conversation.id);
setMessages(
fetched.messages.map((m) => ({ text: m.text, speaker: m.speaker, image_key: m.image_key })),
);
} catch (err) {
console.error("Failed to load messages:", err);
}
};
load();
};
navigate("/");
}, [navigate]);
const loadConversations = async () => {
try {
const fetched = await conversationService.getAllConversations();
const parsed = fetched.map((c) => ({ id: c.id, title: c.name }));
setConversations(parsed);
} catch (err) {
console.error("Failed to load conversations:", err);
}
};
const handleCreateNewConversation = async () => {
const newConv = await conversationService.createConversation();
await loadConversations();
setSelectedConversation({ title: newConv.name, id: newConv.id });
};
useEffect(() => {
loadConversations();
userService.getMe().then((me) => setIsAdmin(me.is_admin)).catch(() => {});
}, []);
useEffect(() => {
scrollToBottom();
}, [messages]);
useEffect(() => {
const load = async () => {
if (!selectedConversation) return;
try {
const conv = await conversationService.getConversation(selectedConversation.id);
setSelectedConversation({ id: conv.id, title: conv.name });
setMessages(conv.messages.map((m) => ({ text: m.text, speaker: m.speaker, image_key: m.image_key })));
} catch (err) {
console.error("Failed to load messages:", err);
}
};
load();
}, [selectedConversation?.id]);
const handleQuestionSubmit = useCallback(async () => {
if ((!query.trim() && !pendingImage) || isLoading) return;
let activeConversation = selectedConversation;
if (!activeConversation) {
const newConv = await conversationService.createConversation();
activeConversation = { title: newConv.name, id: newConv.id };
setSelectedConversation(activeConversation);
setConversations((prev) => [activeConversation!, ...prev]);
}
// Capture pending image before clearing state
const imageFile = pendingImage;
const currMessages = messages.concat([{ text: query, speaker: "user" }]);
setMessages(currMessages);
const handleQuestionSubmit = useCallback(() => {
sendMessage(query, simbaMode);
setQuery("");
setPendingImage(null);
setIsLoading(true);
if (simbaMode) {
const randomElement = simbaAnswers[Math.floor(Math.random() * simbaAnswers.length)];
setMessages((prev) => prev.concat([{ text: randomElement, speaker: "simba" }]));
setIsLoading(false);
return;
}
const abortController = new AbortController();
abortControllerRef.current = abortController;
try {
// Upload image first if present
let imageKey: string | undefined;
if (imageFile) {
const uploadResult = await conversationService.uploadImage(
imageFile,
activeConversation.id,
);
imageKey = uploadResult.image_key;
// Update the user message with the image key
setMessages((prev) => {
const updated = [...prev];
// Find the last user message we just added
for (let i = updated.length - 1; i >= 0; i--) {
if (updated[i].speaker === "user") {
updated[i] = { ...updated[i], image_key: imageKey };
break;
}
}
return updated;
});
}
await conversationService.streamQuery(
query,
activeConversation.id,
(event) => {
if (!isMountedRef.current) return;
if (event.type === "tool_start") {
const friendly = TOOL_MESSAGES[event.tool] ?? `🔧 Using ${event.tool}...`;
setMessages((prev) => prev.concat([{ text: friendly, speaker: "tool" }]));
} else if (event.type === "response") {
setMessages((prev) => prev.concat([{ text: event.message, speaker: "simba" }]));
} else if (event.type === "error") {
console.error("Stream error:", event.message);
}
},
abortController.signal,
imageKey,
);
} catch (error) {
if (error instanceof Error && error.name === "AbortError") {
console.log("Request was aborted");
} else {
console.error("Failed to send query:", error);
if (error instanceof Error && error.message.includes("Session expired")) {
setAuthenticated(false);
}
}
} finally {
if (isMountedRef.current) setIsLoading(false);
abortControllerRef.current = null;
}
}, [query, pendingImage, isLoading, selectedConversation, simbaMode, messages, setAuthenticated]);
}, [query, simbaMode, sendMessage]);
const handleQueryChange = useCallback((event: React.ChangeEvent<HTMLTextAreaElement>) => {
setQuery(event.target.value);
}, []);
const handleKeyDown = useCallback((event: React.ChangeEvent<HTMLTextAreaElement>) => {
const kev = event as unknown as React.KeyboardEvent<HTMLTextAreaElement>;
if (kev.key === "Enter" && !kev.shiftKey) {
kev.preventDefault();
const handleKeyDown = useCallback((event: React.KeyboardEvent<HTMLTextAreaElement>) => {
if (event.key === "Enter" && !event.shiftKey) {
event.preventDefault();
handleQuestionSubmit();
}
}, [handleQuestionSubmit]);
const handleImageSelect = useCallback((file: File) => setPendingImage(file), []);
const handleClearImage = useCallback(() => setPendingImage(null), []);
const handleToggleSimbaMode = useCallback(() => setSimbaMode((v) => !v), []);
const handleDeleteConversation = useCallback(
(id: string) => deleteConversation(id),
[deleteConversation],
);
const handleImageSelect = useCallback((file: File) => setPendingImage(file), [setPendingImage]);
const handleClearImage = useCallback(() => setPendingImage(null), [setPendingImage]);
const handleLogout = () => {
localStorage.removeItem("access_token");
@@ -241,9 +121,19 @@ export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
setAuthenticated(false);
};
const sidebarProps = {
conversations,
onCreateNewConversation: handleCreateNewConversation,
onSelectConversation: handleSelectConversation,
onRenameConversation: renameConversation,
onDeleteConversation: handleDeleteConversation,
selectedId: selectedConversation?.id,
isAdmin,
};
return (
<div className="h-screen h-[100dvh] flex flex-row bg-cream overflow-hidden">
{/* ── Desktop Sidebar ─────────────────────────────── */}
{/* Desktop Sidebar */}
<aside
className={cn(
"hidden md:flex md:flex-col",
@@ -252,7 +142,6 @@ export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
)}
>
{sidebarCollapsed ? (
/* Collapsed state */
<div className="flex flex-col items-center py-4 gap-4 h-full">
<button
onClick={() => setSidebarCollapsed(false)}
@@ -267,66 +156,45 @@ export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
/>
</div>
) : (
/* Expanded state */
<div className="flex flex-col h-full">
{/* Header */}
<div className="flex items-center justify-between px-4 py-4 border-b border-white/8">
<div className="flex items-center gap-2.5">
<img src={catIcon} alt="Simba" className="w-12 h-12" />
<h2
className="text-lg font-bold text-cream tracking-tight"
style={{ fontFamily: "var(--font-display)" }}
>
asksimba
</h2>
</div>
<button
onClick={() => setSidebarCollapsed(true)}
className="w-7 h-7 rounded-lg flex items-center justify-center text-cream/40 hover:text-cream hover:bg-white/10 transition-all cursor-pointer"
>
<PanelLeftClose size={15} />
</button>
</div>
{/* Conversations */}
<div className="flex-1 overflow-y-auto px-2 py-3">
<ConversationList
conversations={conversations}
onCreateNewConversation={handleCreateNewConversation}
onSelectConversation={handleSelectConversation}
selectedId={selectedConversation?.id}
/>
</div>
{/* Footer */}
<div className="px-2 pb-3 pt-2 border-t border-white/8 flex flex-col gap-0.5">
{isAdmin && (
<button
onClick={() => setShowAdminPanel(true)}
className="flex items-center gap-2 w-full px-3 py-2 rounded-xl text-sm text-cream/50 hover:text-cream hover:bg-white/8 transition-all cursor-pointer"
>
<Shield size={14} />
<span>Admin</span>
</button>
)}
<button
onClick={handleLogout}
className="flex items-center gap-2 w-full px-3 py-2 rounded-xl text-sm text-cream/50 hover:text-cream hover:bg-white/8 transition-all cursor-pointer"
>
<LogOut size={14} />
<span>Sign out</span>
</button>
</div>
</div>
<SidebarContent
{...sidebarProps}
onShowAdmin={() => setShowAdminPanel(true)}
onShowScheduler={() => setShowScheduler(true)}
onLogout={handleLogout}
onCollapse={() => setSidebarCollapsed(true)}
/>
)}
</aside>
{/* Admin Panel modal */}
{showAdminPanel && <AdminPanel onClose={() => setShowAdminPanel(false)} />}
{/* Mobile drawer */}
{showConversations && (
<div className="md:hidden fixed inset-0 z-50 flex">
<aside className="w-72 max-w-[80%] h-full bg-sidebar-bg shadow-xl animate-drawer-in">
<SidebarContent
{...sidebarProps}
onShowAdmin={() => {
setShowConversations(false);
setShowAdminPanel(true);
}}
onShowScheduler={() => {
setShowConversations(false);
setShowScheduler(true);
}}
onLogout={handleLogout}
onCloseDrawer={() => setShowConversations(false)}
/>
</aside>
<div
className="flex-1 bg-charcoal/40 backdrop-blur-sm"
onClick={() => setShowConversations(false)}
/>
</div>
)}
{showAdminPanel && <AdminPanel onClose={() => setShowAdminPanel(false)} />}
{showScheduler && <ScheduledMessagesPanel onClose={() => setShowScheduler(false)} />}
{/* ── Main chat area ──────────────────────────────── */}
<div className="flex-1 flex flex-col h-full overflow-hidden min-w-0">
{/* Mobile header */}
<header className="md:hidden flex items-center justify-between px-4 py-3 bg-warm-white border-b border-sand-light/60">
<div className="flex items-center gap-2">
<img src={catIcon} alt="Simba" className="w-12 h-12" />
@@ -337,37 +205,17 @@ export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
asksimba
</h1>
</div>
<div className="flex items-center gap-2">
<button
className="w-8 h-8 rounded-xl flex items-center justify-center text-warm-gray hover:text-charcoal hover:bg-cream-dark transition-all cursor-pointer"
onClick={() => setShowConversations((v) => !v)}
>
{showConversations ? <X size={16} /> : <Menu size={16} />}
</button>
<button
className="w-8 h-8 rounded-xl flex items-center justify-center text-warm-gray hover:text-charcoal hover:bg-cream-dark transition-all cursor-pointer"
onClick={handleLogout}
>
<LogOut size={15} />
</button>
</div>
<button
className="w-8 h-8 rounded-xl flex items-center justify-center text-warm-gray hover:text-charcoal hover:bg-cream-dark transition-all cursor-pointer"
onClick={() => setShowConversations(true)}
aria-label="Open menu"
>
<Menu size={16} />
</button>
</header>
{messages.length === 0 ? (
/* ── Empty / homepage state ── */
{messages.length === 0 && !messagesLoading ? (
<div className="flex-1 flex flex-col items-center justify-center px-4 gap-6">
{/* Mobile conversation drawer */}
{showConversations && (
<div className="md:hidden w-full max-w-2xl bg-warm-white rounded-2xl border border-sand-light p-3 shadow-sm">
<ConversationList
conversations={conversations}
onCreateNewConversation={handleCreateNewConversation}
onSelectConversation={handleSelectConversation}
selectedId={selectedConversation?.id}
variant="light"
/>
</div>
)}
<div className="relative">
<div className="absolute -inset-6 bg-amber-soft/20 rounded-full blur-3xl" />
<img src={catIcon} alt="Simba" className="relative w-36 h-36" />
@@ -384,57 +232,116 @@ export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
handleQueryChange={handleQueryChange}
handleKeyDown={handleKeyDown}
handleQuestionSubmit={handleQuestionSubmit}
setSimbaMode={setSimbaMode}
simbaMode={simbaMode}
onToggleSimbaMode={handleToggleSimbaMode}
isLoading={isLoading}
onStop={stopGeneration}
pendingImage={pendingImage}
onImageSelect={handleImageSelect}
onClearImage={handleClearImage}
autoFocus
/>
</div>
</div>
) : (
/* ── Active chat state ── */
<>
<div className="flex-1 overflow-y-auto px-4 py-6">
<div className="max-w-2xl mx-auto flex flex-col gap-3">
{/* Mobile conversation drawer */}
{showConversations && (
<div className="md:hidden mb-3 bg-warm-white rounded-2xl border border-sand-light p-3 shadow-sm">
<ConversationList
conversations={conversations}
onCreateNewConversation={handleCreateNewConversation}
onSelectConversation={handleSelectConversation}
selectedId={selectedConversation?.id}
variant="light"
/>
<div className="max-w-3xl mx-auto flex flex-col gap-6">
{messages.map((msg, index) => {
// When the model has been thinking and content is now streaming,
// render ThinkingBubble just before the streaming simba message
// so it appears above the answer rather than below it.
const showThinkingHere =
streaming &&
isLoading &&
(thinking || thinkingText || thinkingDurationMs !== null) &&
index === messages.length - 1 &&
msg.speaker === "simba";
const bubble =
msg.speaker === "tool" ? (
<ToolBubble key={index} text={msg.text} />
) : msg.speaker === "simba" ? (
<AnswerBubble key={index} text={msg.text} />
) : (
<QuestionBubble key={index} text={msg.text} image_key={msg.image_key} />
);
if (showThinkingHere) {
return (
<React.Fragment key={index}>
<ThinkingBubble
text={thinkingText}
durationMs={thinkingDurationMs}
active={thinking}
/>
{bubble}
</React.Fragment>
);
}
return bubble;
})}
{/* ThinkingBubble before content arrives (no streaming message yet) */}
{isLoading && !streaming && (thinking || thinkingText || thinkingDurationMs !== null) && (
<ThinkingBubble
text={thinkingText}
durationMs={thinkingDurationMs}
active={thinking}
/>
)}
{((isLoading && !streaming && !thinking) || messagesLoading) && (
<AnswerBubble text="" loading={true} />
)}
{error && (
<div className="flex justify-center message-enter">
<div className="inline-flex items-center gap-2 px-3 py-1.5 rounded-full bg-red-50 border border-red-200 text-xs text-red-600">
<span>{error}</span>
<button
onClick={clearError}
className="text-red-400 hover:text-red-600 transition-colors cursor-pointer"
aria-label="Dismiss error"
>
<X size={13} />
</button>
</div>
</div>
)}
{messages.map((msg, index) => {
if (msg.speaker === "tool")
return <ToolBubble key={index} text={msg.text} />;
if (msg.speaker === "simba")
return <AnswerBubble key={index} text={msg.text} />;
return <QuestionBubble key={index} text={msg.text} image_key={msg.image_key} />;
})}
{stalled && (
<div className="flex justify-center message-enter">
<div className="inline-flex items-center gap-2 px-3 py-1.5 rounded-full bg-red-50 border border-red-200 text-xs text-red-600">
<span>Simba didn&apos;t respond in time.</span>
<button
onClick={retryStalled}
className="font-medium underline underline-offset-2 hover:text-red-800 transition-colors cursor-pointer"
>
Retry
</button>
</div>
</div>
)}
{isLoading && <AnswerBubble text="" loading={true} />}
<div ref={messagesEndRef} />
</div>
</div>
<footer className="border-t border-sand-light/40 bg-cream">
<div className="max-w-2xl mx-auto px-4 py-3">
<div className="max-w-3xl mx-auto px-4 py-3">
<MessageInput
query={query}
handleQueryChange={handleQueryChange}
handleKeyDown={handleKeyDown}
handleQuestionSubmit={handleQuestionSubmit}
setSimbaMode={setSimbaMode}
simbaMode={simbaMode}
onToggleSimbaMode={handleToggleSimbaMode}
isLoading={isLoading}
onStop={stopGeneration}
pendingImage={pendingImage}
onImageSelect={(file) => setPendingImage(file)}
onClearImage={() => setPendingImage(null)}
onImageSelect={handleImageSelect}
onClearImage={handleClearImage}
/>
</div>
</footer>
@@ -1,7 +1,6 @@
import { useState, useEffect } from "react";
import { Plus } from "lucide-react";
import { useEffect, useRef, useState } from "react";
import { Check, MoreHorizontal, Pencil, Plus, Trash2, X } from "lucide-react";
import { cn } from "../lib/utils";
import { conversationService } from "../api/conversationService";
type Conversation = {
title: string;
@@ -12,6 +11,8 @@ type ConversationProps = {
conversations: Conversation[];
onSelectConversation: (conversation: Conversation) => void;
onCreateNewConversation: () => void;
onRenameConversation?: (id: string, title: string) => void;
onDeleteConversation?: (id: string) => void;
selectedId?: string;
variant?: "dark" | "light";
};
@@ -20,41 +21,57 @@ export const ConversationList = ({
conversations,
onSelectConversation,
onCreateNewConversation,
onRenameConversation,
onDeleteConversation,
selectedId,
variant = "dark",
}: ConversationProps) => {
const [items, setItems] = useState(conversations);
const [menuOpenId, setMenuOpenId] = useState<string | null>(null);
const [editingId, setEditingId] = useState<string | null>(null);
const [editValue, setEditValue] = useState("");
const [confirmDeleteId, setConfirmDeleteId] = useState<string | null>(null);
const inputRef = useRef<HTMLInputElement>(null);
const isDark = variant === "dark";
// Close any open row menu when clicking elsewhere.
useEffect(() => {
const load = async () => {
try {
let fetched = await conversationService.getAllConversations();
if (fetched.length === 0) {
await conversationService.createConversation();
fetched = await conversationService.getAllConversations();
}
setItems(fetched.map((c) => ({ id: c.id, title: c.name })));
} catch (err) {
console.error("Failed to load conversations:", err);
}
if (!menuOpenId && !confirmDeleteId) return;
const close = () => {
setMenuOpenId(null);
setConfirmDeleteId(null);
};
load();
}, []);
window.addEventListener("click", close);
return () => window.removeEventListener("click", close);
}, [menuOpenId, confirmDeleteId]);
// Keep in sync when parent updates conversations
useEffect(() => {
setItems(conversations);
}, [conversations]);
if (editingId) inputRef.current?.focus();
}, [editingId]);
const startRename = (conv: Conversation) => {
setMenuOpenId(null);
setEditingId(conv.id);
setEditValue(conv.title);
};
const commitRename = () => {
if (editingId && editValue.trim()) {
onRenameConversation?.(editingId, editValue.trim());
}
setEditingId(null);
};
const hasActions = Boolean(onRenameConversation || onDeleteConversation);
return (
<div className="flex flex-col gap-1">
{/* New thread button */}
<button
onClick={onCreateNewConversation}
className={cn(
"flex items-center gap-2 w-full px-3 py-2 rounded-xl",
"text-sm transition-all duration-150 cursor-pointer mb-1",
variant === "dark"
isDark
? "text-cream/60 hover:text-cream hover:bg-white/8"
: "text-warm-gray hover:text-charcoal hover:bg-cream-dark",
)}
@@ -63,27 +80,150 @@ export const ConversationList = ({
<span>New thread</span>
</button>
{/* Conversation items */}
{items.map((conv) => {
{conversations.map((conv) => {
const isActive = conv.id === selectedId;
const isEditing = editingId === conv.id;
if (isEditing) {
return (
<div
key={conv.id}
className={cn(
"flex items-center gap-1 px-1.5 py-1 rounded-xl",
isDark ? "bg-white/12" : "bg-cream-dark",
)}
>
<input
ref={inputRef}
value={editValue}
onChange={(e) => setEditValue(e.target.value)}
onKeyDown={(e) => {
if (e.key === "Enter") commitRename();
if (e.key === "Escape") setEditingId(null);
}}
className={cn(
"flex-1 min-w-0 bg-transparent px-1.5 py-1 text-sm rounded-lg",
"focus:outline-none",
isDark
? "text-cream placeholder:text-cream/40"
: "text-charcoal placeholder:text-warm-gray/50",
)}
/>
<button
onClick={commitRename}
className={cn(
"w-6 h-6 rounded-lg flex items-center justify-center shrink-0 cursor-pointer transition-colors",
isDark
? "text-cream/60 hover:text-cream hover:bg-white/10"
: "text-warm-gray hover:text-charcoal hover:bg-sand-light",
)}
>
<Check size={14} />
</button>
<button
onClick={() => setEditingId(null)}
className={cn(
"w-6 h-6 rounded-lg flex items-center justify-center shrink-0 cursor-pointer transition-colors",
isDark
? "text-cream/60 hover:text-cream hover:bg-white/10"
: "text-warm-gray hover:text-charcoal hover:bg-sand-light",
)}
>
<X size={14} />
</button>
</div>
);
}
return (
<button
key={conv.id}
onClick={() => onSelectConversation(conv)}
className={cn(
"w-full px-3 py-2 rounded-xl text-left",
"text-sm truncate transition-all duration-150 cursor-pointer",
variant === "dark"
? isActive
? "bg-white/12 text-cream font-medium"
: "text-cream/60 hover:text-cream hover:bg-white/8"
: isActive
? "bg-cream-dark text-charcoal font-medium"
: "text-warm-gray hover:text-charcoal hover:bg-cream-dark",
<div key={conv.id} className="group relative flex items-center">
<button
onClick={() => onSelectConversation(conv)}
className={cn(
"flex-1 min-w-0 px-3 py-2 rounded-xl text-left",
"text-sm truncate transition-all duration-150 cursor-pointer",
hasActions && "pr-8",
isDark
? isActive
? "bg-white/12 text-cream font-medium"
: "text-cream/60 hover:text-cream hover:bg-white/8"
: isActive
? "bg-cream-dark text-charcoal font-medium"
: "text-warm-gray hover:text-charcoal hover:bg-cream-dark",
)}
>
{conv.title}
</button>
{hasActions && (
<button
onClick={(e) => {
e.stopPropagation();
setConfirmDeleteId(null);
setMenuOpenId((prev) => (prev === conv.id ? null : conv.id));
}}
className={cn(
"absolute right-1.5 w-6 h-6 rounded-lg flex items-center justify-center cursor-pointer transition-all",
"opacity-0 group-hover:opacity-100 focus:opacity-100",
menuOpenId === conv.id && "opacity-100",
isDark
? "text-cream/50 hover:text-cream hover:bg-white/10"
: "text-warm-gray hover:text-charcoal hover:bg-sand-light",
)}
>
<MoreHorizontal size={15} />
</button>
)}
>
{conv.title}
</button>
{menuOpenId === conv.id && (
<div
onClick={(e) => e.stopPropagation()}
className={cn(
"absolute right-1.5 top-9 z-20 w-36 rounded-xl p-1 shadow-lg",
isDark
? "bg-sidebar-bg border border-white/10"
: "bg-warm-white border border-sand-light",
)}
>
{onRenameConversation && (
<button
onClick={() => startRename(conv)}
className={cn(
"flex items-center gap-2 w-full px-2.5 py-1.5 rounded-lg text-sm cursor-pointer transition-colors",
isDark
? "text-cream/70 hover:text-cream hover:bg-white/10"
: "text-warm-gray hover:text-charcoal hover:bg-cream-dark",
)}
>
<Pencil size={13} />
<span>Rename</span>
</button>
)}
{onDeleteConversation && (
<button
onClick={() => {
if (confirmDeleteId === conv.id) {
onDeleteConversation(conv.id);
setMenuOpenId(null);
setConfirmDeleteId(null);
} else {
setConfirmDeleteId(conv.id);
}
}}
className={cn(
"flex items-center gap-2 w-full px-2.5 py-1.5 rounded-lg text-sm cursor-pointer transition-colors",
"text-red-400 hover:bg-red-500/10",
)}
>
<Trash2 size={13} />
<span>
{confirmDeleteId === conv.id ? "Confirm delete" : "Delete"}
</span>
</button>
)}
</div>
)}
</div>
);
})}
</div>
@@ -1,24 +0,0 @@
type Conversation = {
title: string;
id: string;
};
type ConversationMenuProps = {
conversations: Conversation[];
};
export const ConversationMenu = ({ conversations }: ConversationMenuProps) => {
return (
<div className="absolute bg-white w-md rounded-md shadow-xl m-4 p-4">
<p className="py-2 px-4 rounded-md w-full text-xl font-bold">askSimba!</p>
{conversations.map((conversation) => (
<p
key={conversation.id}
className="py-2 px-4 rounded-md hover:bg-stone-200 w-full text-xl font-bold cursor-pointer"
>
{conversation.title}
</p>
))}
</div>
);
};
@@ -0,0 +1,94 @@
import { useCallback } from "react";
import { useNavigate } from "react-router-dom";
import { ArrowLeft, Search } from "lucide-react";
import { ConversationList } from "./ConversationList";
import { useConversationBrowser } from "../hooks/useConversationBrowser";
import type { Conversation } from "../hooks/useConversations";
import { Input } from "./ui/input";
import catIcon from "../assets/cat.png";
export const ConversationsPage = () => {
const navigate = useNavigate();
const {
items,
search,
setSearch,
hasMore,
loading,
loadMore,
renameConversation,
deleteConversation,
} = useConversationBrowser();
const handleSelect = useCallback(
(conversation: Conversation) => navigate(`/c/${conversation.id}`),
[navigate],
);
const handleCreateNew = useCallback(() => navigate("/"), [navigate]);
return (
<div className="h-screen h-[100dvh] flex flex-col bg-cream overflow-hidden">
<header className="flex items-center gap-3 px-4 py-3 bg-warm-white border-b border-sand-light/60">
<button
onClick={() => navigate(-1)}
className="w-8 h-8 rounded-xl flex items-center justify-center text-warm-gray hover:text-charcoal hover:bg-cream-dark transition-all cursor-pointer"
aria-label="Back"
>
<ArrowLeft size={16} />
</button>
<img src={catIcon} alt="Simba" className="w-10 h-10" />
<h1
className="text-base font-bold text-charcoal"
style={{ fontFamily: "var(--font-display)" }}
>
All conversations
</h1>
</header>
<div className="flex-1 overflow-y-auto">
<div className="max-w-2xl mx-auto px-4 py-6 flex flex-col gap-4">
<div className="relative">
<Search
size={15}
className="absolute left-3 top-1/2 -translate-y-1/2 text-warm-gray/60"
/>
<Input
value={search}
onChange={(e) => setSearch(e.target.value)}
placeholder="Search conversations..."
className="h-10 pl-9"
/>
</div>
<div className="bg-warm-white rounded-2xl border border-sand-light p-3 shadow-sm">
<ConversationList
conversations={items}
onCreateNewConversation={handleCreateNew}
onSelectConversation={handleSelect}
onRenameConversation={renameConversation}
onDeleteConversation={deleteConversation}
variant="light"
/>
{items.length === 0 && !loading && (
<p className="text-center text-sm text-warm-gray/70 py-6">
{search ? "No conversations match your search." : "No conversations yet."}
</p>
)}
</div>
{hasMore && (
<button
onClick={loadMore}
disabled={loading}
className="self-center px-4 py-2 rounded-xl text-sm text-warm-gray hover:text-charcoal hover:bg-cream-dark transition-all cursor-pointer disabled:opacity-50 disabled:cursor-not-allowed"
>
{loading ? "Loading..." : "Load more"}
</button>
)}
</div>
</div>
</div>
);
};
+6 -57
View File
@@ -1,66 +1,19 @@
import { useState, useEffect } from "react";
import { userService } from "../api/userService";
import { oidcService } from "../api/oidcService";
import catIcon from "../assets/cat.png";
import { cn } from "../lib/utils";
import { useOIDCAuth } from "../hooks/useOIDCAuth";
type LoginScreenProps = {
setAuthenticated: (isAuth: boolean) => void;
};
export const LoginScreen = ({ setAuthenticated }: LoginScreenProps) => {
const [error, setError] = useState<string>("");
const [isChecking, setIsChecking] = useState<boolean>(true);
const [isLoggingIn, setIsLoggingIn] = useState<boolean>(false);
useEffect(() => {
const initAuth = async () => {
const callbackParams = oidcService.getCallbackParamsFromURL();
if (callbackParams) {
try {
setIsLoggingIn(true);
const result = await oidcService.handleCallback(
callbackParams.code,
callbackParams.state,
);
localStorage.setItem("access_token", result.access_token);
localStorage.setItem("refresh_token", result.refresh_token);
oidcService.clearCallbackParams();
setAuthenticated(true);
setIsChecking(false);
return;
} catch (err) {
console.error("OIDC callback error:", err);
setError("Login failed. Please try again.");
oidcService.clearCallbackParams();
setIsLoggingIn(false);
setIsChecking(false);
return;
}
}
const isValid = await userService.validateToken();
if (isValid) setAuthenticated(true);
setIsChecking(false);
};
initAuth();
}, [setAuthenticated]);
const handleOIDCLogin = async () => {
try {
setIsLoggingIn(true);
setError("");
const authUrl = await oidcService.initiateLogin();
window.location.href = authUrl;
} catch {
setError("Failed to initiate login. Please try again.");
setIsLoggingIn(false);
}
};
const { isChecking, isLoggingIn, error, handleLogin } = useOIDCAuth({
setAuthenticated,
});
if (isChecking || isLoggingIn) {
return (
<div className="h-screen flex flex-col items-center justify-center bg-cream gap-4">
{/* Subtle dot grid */}
<div
className="fixed inset-0 pointer-events-none opacity-[0.035]"
style={{
@@ -85,7 +38,6 @@ export const LoginScreen = ({ setAuthenticated }: LoginScreenProps) => {
return (
<div className="h-screen bg-cream flex items-center justify-center p-4 relative overflow-hidden">
{/* Background dot texture */}
<div
className="fixed inset-0 pointer-events-none opacity-[0.04]"
style={{
@@ -94,12 +46,10 @@ export const LoginScreen = ({ setAuthenticated }: LoginScreenProps) => {
}}
/>
{/* Decorative background blobs */}
<div className="absolute top-1/4 -left-20 w-72 h-72 rounded-full bg-leaf-pale/60 blur-3xl pointer-events-none" />
<div className="absolute bottom-1/4 -right-20 w-64 h-64 rounded-full bg-amber-pale/70 blur-3xl pointer-events-none" />
<div className="relative w-full max-w-sm">
{/* Branding */}
<div className="flex flex-col items-center mb-8">
<div className="relative mb-5">
<div className="absolute -inset-5 bg-amber-soft/30 rounded-full blur-2xl" />
@@ -120,7 +70,6 @@ export const LoginScreen = ({ setAuthenticated }: LoginScreenProps) => {
</p>
</div>
{/* Card */}
<div
className={cn(
"bg-warm-white rounded-3xl border border-sand-light",
@@ -138,7 +87,7 @@ export const LoginScreen = ({ setAuthenticated }: LoginScreenProps) => {
</p>
<button
onClick={handleOIDCLogin}
onClick={handleLogin}
disabled={isLoggingIn}
className={cn(
"w-full py-3.5 px-4 rounded-2xl text-sm font-semibold tracking-wide",
@@ -154,7 +103,7 @@ export const LoginScreen = ({ setAuthenticated }: LoginScreenProps) => {
</div>
<p className="text-center text-sand mt-5 text-xs tracking-widest select-none">
✦ meow ✦
* meow *
</p>
</div>
</div>
+176 -132
View File
@@ -1,160 +1,204 @@
import React, { useEffect, useMemo, useRef, useState } from "react";
import { ArrowUp, ImagePlus, X } from "lucide-react";
import React, { useEffect, useMemo, useRef } from "react";
import { ArrowUp, ImagePlus, Square, X } from "lucide-react";
import { cn } from "../lib/utils";
import { Textarea } from "./ui/textarea";
type MessageInputProps = {
handleQueryChange: (event: React.ChangeEvent<HTMLTextAreaElement>) => void;
handleKeyDown: (event: React.ChangeEvent<HTMLTextAreaElement>) => void;
handleKeyDown: (event: React.KeyboardEvent<HTMLTextAreaElement>) => void;
handleQuestionSubmit: () => void;
setSimbaMode: (val: boolean) => void;
simbaMode: boolean;
onToggleSimbaMode: () => void;
query: string;
isLoading: boolean;
onStop: () => void;
pendingImage: File | null;
onImageSelect: (file: File) => void;
onClearImage: () => void;
autoFocus?: boolean;
};
export const MessageInput = React.memo(({
query,
handleKeyDown,
handleQueryChange,
handleQuestionSubmit,
setSimbaMode,
isLoading,
pendingImage,
onImageSelect,
onClearImage,
}: MessageInputProps) => {
const [simbaMode, setLocalSimbaMode] = useState(false);
const fileInputRef = useRef<HTMLInputElement>(null);
export const MessageInput = React.memo(
({
query,
handleKeyDown,
handleQueryChange,
handleQuestionSubmit,
simbaMode,
onToggleSimbaMode,
isLoading,
onStop,
pendingImage,
onImageSelect,
onClearImage,
autoFocus,
}: MessageInputProps) => {
const fileInputRef = useRef<HTMLInputElement>(null);
const textareaRef = useRef<HTMLTextAreaElement>(null);
// Create blob URL once per file, revoke on cleanup
const previewUrl = useMemo(
() => (pendingImage ? URL.createObjectURL(pendingImage) : null),
[pendingImage],
);
// Create blob URL once per file, revoke on cleanup
const previewUrl = useMemo(
() => (pendingImage ? URL.createObjectURL(pendingImage) : null),
[pendingImage],
);
useEffect(() => {
return () => {
if (previewUrl) URL.revokeObjectURL(previewUrl);
useEffect(() => {
return () => {
if (previewUrl) URL.revokeObjectURL(previewUrl);
};
}, [previewUrl]);
// Auto-grow the textarea to fit its content (capped by max-height in CSS).
useEffect(() => {
const el = textareaRef.current;
if (!el) return;
el.style.height = "auto";
el.style.height = `${el.scrollHeight}px`;
}, [query]);
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0];
if (file) {
onImageSelect(file);
}
// Reset so the same file can be re-selected
e.target.value = "";
};
}, [previewUrl]);
const toggleSimbaMode = () => {
const next = !simbaMode;
setLocalSimbaMode(next);
setSimbaMode(next);
};
const handlePaste = (e: React.ClipboardEvent<HTMLTextAreaElement>) => {
if (isLoading) return;
const items = e.clipboardData?.items;
if (!items) return;
for (const item of items) {
if (item.type.startsWith("image/")) {
const file = item.getAsFile();
if (file) {
e.preventDefault();
onImageSelect(file);
return;
}
}
}
};
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0];
if (file) {
onImageSelect(file);
}
// Reset so the same file can be re-selected
e.target.value = "";
};
const canSend = !isLoading && Boolean(query.trim() || pendingImage);
const canSend = !isLoading && (query.trim() || pendingImage);
return (
<div
className={cn(
"rounded-2xl bg-warm-white border border-sand shadow-md shadow-sand/30",
"transition-shadow duration-200 focus-within:shadow-lg focus-within:shadow-amber-soft/20",
"focus-within:border-amber-soft/60",
)}
>
{/* Image preview */}
{pendingImage && (
<div className="px-3 pt-3">
<div className="relative inline-block">
<img
src={previewUrl!}
alt="Pending upload"
className="h-20 rounded-lg object-cover border border-sand"
/>
<button
type="button"
onClick={onClearImage}
className="absolute -top-1.5 -right-1.5 w-5 h-5 rounded-full bg-charcoal text-white flex items-center justify-center hover:bg-charcoal/80 transition-colors cursor-pointer"
>
<X size={12} />
</button>
</div>
</div>
)}
return (
<div
className={cn(
"rounded-2xl bg-warm-white border border-sand shadow-md shadow-sand/30",
"transition-shadow duration-200 focus-within:shadow-lg focus-within:shadow-amber-soft/20",
"focus-within:border-amber-soft/60",
)}
>
{/* Image preview */}
{pendingImage && (
<div className="px-3 pt-3">
<div className="relative inline-block">
<img
src={previewUrl!}
alt="Pending upload"
className="h-20 rounded-lg object-cover border border-sand"
/>
{/* Textarea */}
<Textarea
ref={textareaRef}
onChange={handleQueryChange}
onKeyDown={handleKeyDown}
onPaste={handlePaste}
value={query}
rows={2}
placeholder="Ask Simba anything..."
className="min-h-[60px] max-h-40 overflow-y-auto"
autoFocus={autoFocus}
/>
{/* Hidden file input */}
<input
ref={fileInputRef}
type="file"
accept="image/*"
onChange={handleFileChange}
className="hidden"
/>
{/* Bottom toolbar */}
<div className="flex items-center justify-between px-3 pb-2.5 pt-1">
<div className="flex items-center gap-3">
{/* Simba mode toggle */}
<button
type="button"
onClick={onClearImage}
className="absolute -top-1.5 -right-1.5 w-5 h-5 rounded-full bg-charcoal text-white flex items-center justify-center hover:bg-charcoal/80 transition-colors cursor-pointer"
onClick={onToggleSimbaMode}
className="flex items-center gap-2 group cursor-pointer select-none"
>
<X size={12} />
<div className={cn("toggle-track", simbaMode && "checked")}>
<div className="toggle-thumb" />
</div>
<span className="text-xs text-warm-gray group-hover:text-charcoal transition-colors">
simba mode
</span>
</button>
{/* Image attach button */}
<button
type="button"
onClick={() => fileInputRef.current?.click()}
disabled={isLoading}
className={cn(
"w-7 h-7 rounded-lg flex items-center justify-center transition-all cursor-pointer",
isLoading
? "text-warm-gray/40 cursor-not-allowed"
: "text-warm-gray hover:text-charcoal hover:bg-cream-dark",
)}
>
<ImagePlus size={16} />
</button>
</div>
</div>
)}
{/* Textarea */}
<Textarea
onChange={handleQueryChange}
onKeyDown={handleKeyDown}
value={query}
rows={2}
placeholder="Ask Simba anything..."
className="min-h-[60px] max-h-40"
/>
{/* Hidden file input */}
<input
ref={fileInputRef}
type="file"
accept="image/*"
onChange={handleFileChange}
className="hidden"
/>
{/* Bottom toolbar */}
<div className="flex items-center justify-between px-3 pb-2.5 pt-1">
<div className="flex items-center gap-3">
{/* Simba mode toggle */}
<button
type="button"
onClick={toggleSimbaMode}
className="flex items-center gap-2 group cursor-pointer select-none"
>
<div className={cn("toggle-track", simbaMode && "checked")}>
<div className="toggle-thumb" />
</div>
<span className="text-xs text-warm-gray group-hover:text-charcoal transition-colors">
simba mode
</span>
</button>
{/* Image attach button */}
<button
type="button"
onClick={() => fileInputRef.current?.click()}
disabled={isLoading}
className={cn(
"w-7 h-7 rounded-lg flex items-center justify-center transition-all cursor-pointer",
isLoading
? "text-warm-gray/40 cursor-not-allowed"
: "text-warm-gray hover:text-charcoal hover:bg-cream-dark",
)}
>
<ImagePlus size={16} />
</button>
</div>
{/* Send button */}
<button
type="submit"
onClick={handleQuestionSubmit}
disabled={!canSend}
className={cn(
"w-8 h-8 rounded-full flex items-center justify-center",
"transition-all duration-200 cursor-pointer",
"shadow-sm",
!canSend
? "bg-sand text-warm-gray/50 cursor-not-allowed shadow-none"
: "bg-amber-glow text-white hover:bg-amber-dark hover:shadow-md hover:shadow-amber-glow/30 active:scale-95",
{/* Send / Stop button */}
{isLoading ? (
<button
type="button"
onClick={onStop}
aria-label="Stop generating"
className={cn(
"w-8 h-8 rounded-full flex items-center justify-center shadow-sm",
"bg-charcoal text-white transition-all duration-200 cursor-pointer",
"hover:bg-charcoal/85 active:scale-95",
)}
>
<Square size={13} strokeWidth={2.5} fill="currentColor" />
</button>
) : (
<button
type="submit"
onClick={handleQuestionSubmit}
disabled={!canSend}
aria-label="Send message"
className={cn(
"w-8 h-8 rounded-full flex items-center justify-center",
"transition-all duration-200 cursor-pointer shadow-sm",
!canSend
? "bg-sand text-warm-gray/50 cursor-not-allowed shadow-none"
: "bg-amber-glow text-white hover:bg-amber-dark hover:shadow-md hover:shadow-amber-glow/30 active:scale-95",
)}
>
<ArrowUp size={15} strokeWidth={2.5} />
</button>
)}
>
<ArrowUp size={15} strokeWidth={2.5} />
</button>
</div>
</div>
</div>
);
});
);
},
);
@@ -1,26 +1,14 @@
import { useEffect, useState } from "react";
import React from "react";
import { cn } from "../lib/utils";
import { conversationService } from "../api/conversationService";
import { usePresignedUrl } from "../hooks/usePresignedUrl";
type QuestionBubbleProps = {
text: string;
image_key?: string | null;
};
export const QuestionBubble = ({ text, image_key }: QuestionBubbleProps) => {
const [imageUrl, setImageUrl] = useState<string | null>(null);
const [imageError, setImageError] = useState(false);
useEffect(() => {
if (!image_key) return;
conversationService
.getPresignedImageUrl(image_key)
.then(setImageUrl)
.catch((err) => {
console.error("Failed to load image:", err);
setImageError(true);
});
}, [image_key]);
export const QuestionBubble = React.memo(({ text, image_key }: QuestionBubbleProps) => {
const { imageUrl, imageError } = usePresignedUrl(image_key);
return (
<div className="flex justify-end message-enter">
@@ -34,7 +22,6 @@ export const QuestionBubble = ({ text, image_key }: QuestionBubbleProps) => {
>
{imageError && (
<div className="flex items-center gap-2 text-xs text-charcoal/50 bg-charcoal/5 rounded-xl px-3 py-2 mb-2">
<span>🖼️</span>
<span>Image failed to load</span>
</div>
)}
@@ -49,4 +36,4 @@ export const QuestionBubble = ({ text, image_key }: QuestionBubbleProps) => {
</div>
</div>
);
};
});

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