Add multi-user support: Authelia OIDC, SQLite, Garage S3

- Auth via Authelia OIDC (public client + PKCE) with signed session cookies
- SQLite DB for users, rides, and insights (SQLAlchemy)
- Garage S3 for GPX file storage (boto3)
- All API endpoints scoped to authenticated user
- Dockerfile + docker-compose.yml with Garage service
- Frontend auth check: redirects to /auth/login on 401, shows user badge

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.dockerignore

@@ -0,0 +1,9 @@
+.venv
+.env
+bikeslop.db
+garmin_gpx_exports/*.gpx
+insights.json
+__pycache__
+*.pyc
+*.pyo
+.git

.gitignore

@@ -15,3 +15,8 @@ insights.json
 
 # Local environment
 .env
+
+# Runtime data
+data/
+bikeslop.db
+*.swp

CLAUDE.md

@@ -13,26 +13,51 @@ uv add <package>                                         # add a new dependency
 
 Set `LLAMACPP_BASE_URL=http://host:port/v1` to point at a local LLM (inline, exported, or via `.env`).
 
+## Environment variables
+
+```
+# Auth (Authelia OIDC — public client with PKCE, no secret)
+OIDC_ISSUER=https://auth.example.com
+OIDC_CLIENT_ID=bikeslop
+APP_BASE_URL=https://bikeslop.example.com
+SECRET_KEY=<64-char random hex>    # signs session cookies
+
+# S3 (Garage or any S3-compatible)
+S3_ENDPOINT=https://s3.example.com
+S3_BUCKET=bikeslop-gpx
+S3_ACCESS_KEY=<key>
+S3_SECRET_KEY=<secret>
+
+# Optional
+DATABASE_URL=sqlite:///bikeslop.db  # default
+LLAMACPP_BASE_URL=http://localhost:8080/v1
+```
+
 ## Architecture
 
-Two-file app: a FastAPI backend (`app.py`) and a single-page frontend (`static/index.html`).
+Four-file app: `app.py` (FastAPI backend), `db.py` (SQLAlchemy models), `auth.py` (OIDC + session), `storage.py` (S3 wrapper), and `static/index.html` (SPA frontend).
 
-**`app.py`** parses all GPX files in `garmin_gpx_exports/` at startup into an in-memory dict (`_rides`), keyed by filename stem. Stats (haversine distance, elevation gain/loss, HR zones) are computed once at load time. API routes:
-- `GET /api/rides` — summary list (no track points)
-- `GET /api/rides/{id}` — full ride metadata + cached insight
-- `GET /api/rides/{id}/points` — full lat/lon/ele/hr array
-- `POST /api/rides/{id}/insights` — streams AI coaching response
-- `POST /api/insights/generate-all` — SSE stream, generates insights for all rides in chronological order
-- `POST /api/fetch-rides` — SSE stream, fetches new rides from Garmin Connect (supports MFA)
+**`db.py`** defines SQLAlchemy models (`User`, `Ride`, `Insight`) backed by SQLite (or any SQLAlchemy-compatible DB). Tables are created at startup via `create_tables()`. Ride IDs are UUIDs generated at insert time.
+
+**`auth.py`** handles Authelia OIDC login via `authlib`. Session is a signed cookie (itsdangerous) containing the user UUID — no server-side session storage. Routes: `GET /auth/login`, `GET /auth/callback`, `GET /auth/logout`. The `require_user` FastAPI dependency reads the cookie and raises 401 if not authenticated.
+
+**`storage.py`** wraps boto3 for Garage S3. GPX files are stored at `users/{user_id}/{filename}.gpx`. Raises `RuntimeError` on first use if env vars are not configured.
+
+**`app.py`** — all API endpoints require auth (`Depends(require_user)`) and are scoped to the current user. GPX metadata is stored in the DB at upload time; raw GPX bytes live in S3 and are fetched on demand for the `/points` endpoint and insight generation. In-memory caches: `_user_rides_cache` (ride metadata per user) and `_points_cache` (LRU, 50 entries) to avoid repeated S3 fetches. API routes:
+- `GET /api/me` — current user info
+- `GET /api/rides` — summary list for current user
+- `GET /api/rides/{id}` — ride metadata + insight from DB
+- `GET /api/rides/{id}/points` — downloads GPX from S3, parses, returns lat/lon/ele/hr array
+- `POST /api/rides/{id}/insights` — streams AI coaching, saves to DB
+- `POST /api/insights/generate-all` — SSE stream, generates insights for all rides without one
+- `POST /api/fetch-rides` — SSE stream, fetches from Garmin → uploads to S3 → inserts into DB
 - `POST /api/mfa` — submits MFA code for an in-progress Garmin session
 
-**AI integration** uses the OpenAI Python SDK pointed at a local LLM endpoint (`LLAMACPP_BASE_URL` env var, defaults to `http://localhost:8080/v1`). The model name is auto-discovered from `GET /v1/models` at startup (falls back to `"local-model"`). If the endpoint is unreachable at startup a warning is logged and the app continues — only insight generation is affected. The chunk reader handles both `content` and `reasoning_content` delta fields for reasoning models.
+**AI integration** uses the OpenAI Python SDK pointed at a local LLM endpoint (`LLAMACPP_BASE_URL` env var, defaults to `http://localhost:8080/v1`). The model name is auto-discovered from `GET /v1/models` at startup (falls back to `"local-model"`). The chunk reader handles both `content` and `reasoning_content` delta fields for reasoning models.
 
-**Insights cache** is persisted to `insights.json` (gitignored) and loaded at startup. The prompt includes the previous ride's cached insight so the coach can reference its own prior advice.
+**`static/index.html`** is a self-contained SPA (no build step). On load it calls `GET /api/me`; a 401 redirects to `/auth/login`. Leaflet.js draws the route as per-segment polylines colored by HR intensity zone. Chart.js renders elevation and HR profiles. AI insights stream via `fetch` + `ReadableStream`. Units (km/mi) toggle and resting HR are persisted in `localStorage`.
 
-**`static/index.html`** is a self-contained SPA (no build step). Leaflet.js draws the route as per-segment polylines colored by HR intensity zone. Chart.js renders elevation and HR profiles against cumulative distance. AI insights stream via `fetch` + `ReadableStream`. Units (km/mi) toggle and resting HR are persisted in `localStorage`.
-
-**`main.py`** is a standalone CLI script for bulk-downloading Garmin Connect GPX files without running the web server.
+**`main.py`** is a standalone CLI script for bulk-downloading Garmin Connect GPX files (single-user, pre-auth era — largely superseded by the in-app Garmin sync).
 
 ## GPX data notes
 

Dockerfile

@@ -0,0 +1,22 @@
+FROM ghcr.io/astral-sh/uv:python3.14-bookworm-slim
+
+WORKDIR /app
+
+ENV UV_COMPILE_BYTECODE=1
+ENV UV_LINK_MODE=copy
+
+# Install dependencies (cached layer — only reruns when lock file changes)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    uv sync --frozen --no-install-project --no-dev
+
+COPY . .
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --frozen --no-dev
+
+ENV PATH="/app/.venv/bin:$PATH"
+
+EXPOSE 8000
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]

app.py

@@ -9,11 +9,18 @@ from datetime import datetime, timezone
 from pathlib import Path
 from xml.etree import ElementTree as ET
 
-from fastapi import FastAPI, HTTPException, Query, Request
+from fastapi import Depends, FastAPI, HTTPException, Query, Request
 from fastapi.responses import StreamingResponse
 from fastapi.staticfiles import StaticFiles
 from garminconnect import Garmin, GarminConnectAuthenticationError
 from openai import OpenAI
+from sqlalchemy import and_, select
+from sqlalchemy.orm import Session
+from starlette.middleware.sessions import SessionMiddleware
+
+from auth import require_user, router as auth_router
+from db import Insight, Ride, User, create_tables, engine
+from storage import download_gpx, upload_gpx
 
 logging.basicConfig(
     level=logging.DEBUG,
@@ -24,19 +31,18 @@ for _noisy in ("httpx", "httpcore", "openai"):
     logging.getLogger(_noisy).setLevel(logging.WARNING)
 log = logging.getLogger("bikeslop")
 
-GPX_DIR = Path(__file__).parent / "garmin_gpx_exports"
-INSIGHTS_FILE = Path(__file__).parent / "insights.json"
 LLAMACPP_BASE_URL = os.getenv("LLAMACPP_BASE_URL", "http://localhost:8080/v1")
-MODEL_NAME = "local-model"  # overwritten at startup by auto-discovery
+SECRET_KEY = os.getenv("SECRET_KEY", "dev-secret-change-me")
+MODEL_NAME = "local-model"
 
 app = FastAPI()
+app.add_middleware(SessionMiddleware, secret_key=SECRET_KEY)
+app.include_router(auth_router)
 
-_insights_cache: dict[str, str] = {}
 _mfa_sessions: dict[str, dict] = {}
-
-
-def _save_insights() -> None:
-    INSIGHTS_FILE.write_text(json.dumps(_insights_cache, indent=2, ensure_ascii=False))
+_user_rides_cache: dict[str, dict[str, dict]] = {}
+_points_cache: dict[str, list[dict]] = {}
+_POINTS_CACHE_MAX = 50
 
 # ---------------------------------------------------------------------------
 # GPX parsing helpers
@@ -49,7 +55,6 @@ NS = {
 
 
 def haversine(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
-    """Return distance in metres between two GPS coordinates."""
     R = 6_371_000
     phi1, phi2 = math.radians(lat1), math.radians(lat2)
     dphi = math.radians(lat2 - lat1)
@@ -58,12 +63,13 @@ def haversine(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
     return 2 * R * math.asin(math.sqrt(a))
 
 
-def parse_gpx(path: Path) -> dict:
-    tree = ET.parse(path)
-    root = tree.getroot()
+def parse_gpx_bytes(data: bytes, filename: str) -> dict:
+    """Parse GPX bytes into a ride dict including 'points'. No 'id' field."""
+    root = ET.fromstring(data)
 
     name_el = root.find(".//gpx:trk/gpx:name", NS)
-    name = name_el.text if name_el is not None else path.stem
+    stem = Path(filename).stem
+    name = name_el.text if name_el is not None else stem
     type_el = root.find(".//gpx:trk/gpx:type", NS)
     activity_type = type_el.text if type_el is not None else "cycling"
 
@@ -81,7 +87,6 @@ def parse_gpx(path: Path) -> dict:
         hr = int(hr_el.text) if hr_el is not None else None
         points.append({"lat": lat, "lon": lon, "ele": ele, "time": ts, "hr": hr})
 
-    # Compute stats
     distance_m = 0.0
     ele_gain = 0.0
     ele_loss = 0.0
@@ -105,10 +110,8 @@ def parse_gpx(path: Path) -> dict:
     hrs = [p["hr"] for p in points if p["hr"] is not None]
     avg_hr = round(sum(hrs) / len(hrs)) if hrs else None
     max_hr = max(hrs) if hrs else None
-
     avg_speed_kmh = (distance_m / 1000) / (duration_s / 3600) if duration_s > 0 else 0
 
-    # HR zone distribution (% of points)
     zone_counts = {"z1": 0, "z2": 0, "z3": 0, "z4": 0, "z5": 0}
     for h in hrs:
         if h < 120:
@@ -127,13 +130,10 @@ def parse_gpx(path: Path) -> dict:
         for k, v in zone_counts.items()
     }
 
-    ride_id = path.stem  # use filename without extension as ID
-
     return {
-        "id": ride_id,
         "name": name,
         "activity_type": activity_type,
-        "filename": path.name,
+        "filename": filename,
         "start_time": start_time.isoformat() if start_time else None,
         "end_time": end_time.isoformat() if end_time else None,
         "duration_s": duration_s,
@@ -160,16 +160,64 @@ def parse_gpx(path: Path) -> dict:
 
 
 # ---------------------------------------------------------------------------
-# Load all rides at startup
+# Per-user ride + points cache
 # ---------------------------------------------------------------------------
 
-_rides: dict[str, dict] = {}
+
+def _load_user_rides(user_id: str) -> dict[str, dict]:
+    with Session(engine) as s:
+        rows = s.query(Ride).filter_by(user_id=user_id).all()
+        return {r.id: r.to_dict() for r in rows}
+
+
+def get_user_rides_cached(user_id: str) -> dict[str, dict]:
+    if user_id not in _user_rides_cache:
+        _user_rides_cache[user_id] = _load_user_rides(user_id)
+    return _user_rides_cache[user_id]
+
+
+def invalidate_user_cache(user_id: str) -> None:
+    _user_rides_cache.pop(user_id, None)
+
+
+def _fetch_ride_points(ride_id: str, s3_key: str) -> list[dict]:
+    if ride_id not in _points_cache:
+        if len(_points_cache) >= _POINTS_CACHE_MAX:
+            del _points_cache[next(iter(_points_cache))]
+        gpx_data = download_gpx(s3_key)
+        parsed = parse_gpx_bytes(gpx_data, s3_key.split("/")[-1])
+        _points_cache[ride_id] = parsed["points"]
+    return _points_cache[ride_id]
+
+
+def _get_ride_insight(ride_id: str) -> str | None:
+    with Session(engine) as s:
+        row = s.query(Insight).filter_by(ride_id=ride_id).first()
+        return row.text if row else None
+
+
+def _save_ride_insight(ride_id: str, user_id: str, text: str) -> None:
+    with Session(engine) as s:
+        row = s.query(Insight).filter_by(ride_id=ride_id).first()
+        if row:
+            row.text = text
+        else:
+            row = Insight(ride_id=ride_id, user_id=user_id, text=text)
+            s.add(row)
+        s.commit()
+
+
+# ---------------------------------------------------------------------------
+# Startup
+# ---------------------------------------------------------------------------
 
 
 @app.on_event("startup")
-def load_rides():
+def startup():
     global MODEL_NAME
-    # Auto-discover model name from llamacpp
+    create_tables()
+    log.info("Database tables ready.")
+
     try:
         client = OpenAI(base_url=LLAMACPP_BASE_URL, api_key="not-needed")
         models = client.models.list()
@@ -178,62 +226,50 @@ def load_rides():
             MODEL_NAME = first.id
             log.info("Discovered model: %s", MODEL_NAME)
         else:
-            log.warning("No models returned from %s — using fallback '%s'", LLAMACPP_BASE_URL, MODEL_NAME)
+            log.warning("No models from %s — using fallback '%s'", LLAMACPP_BASE_URL, MODEL_NAME)
     except Exception as exc:
         log.warning("Could not reach llamacpp at %s (%s) — using fallback '%s'", LLAMACPP_BASE_URL, exc, MODEL_NAME)
 
-    for gpx_file in sorted(GPX_DIR.glob("*.gpx"), reverse=True):
-        try:
-            ride = parse_gpx(gpx_file)
-            _rides[ride["id"]] = ride
-        except Exception as exc:
-            log.error("Failed to parse %s: %s", gpx_file.name, exc)
-    log.info("Loaded %d rides.", len(_rides))
-
-    if INSIGHTS_FILE.exists():
-        try:
-            _insights_cache.update(json.loads(INSIGHTS_FILE.read_text()))
-            cached = sum(1 for rid in _insights_cache if rid in _rides)
-            log.info("Loaded %d cached insights from %s", cached, INSIGHTS_FILE)
-        except Exception as exc:
-            log.warning("Could not load insights cache: %s", exc)
-
 
 # ---------------------------------------------------------------------------
 # API endpoints
 # ---------------------------------------------------------------------------
 
 
+@app.get("/api/me")
+def get_me(user: User = Depends(require_user)):
+    return {"display_name": user.display_name, "email": user.email}
+
+
 @app.get("/api/rides")
-def list_rides():
+def list_rides(user: User = Depends(require_user)):
     summary_keys = [
         "id", "name", "activity_type", "start_time", "duration_s",
         "distance_km", "avg_speed_kmh", "elevation_gain_m",
         "avg_hr", "max_hr", "has_gps",
     ]
-    rides = []
-    for r in _rides.values():
-        rides.append({k: r[k] for k in summary_keys})
-    # Sort by start_time descending
+    rides_map = get_user_rides_cached(user.id)
+    rides = [{k: r[k] for k in summary_keys} for r in rides_map.values()]
     rides.sort(key=lambda x: x["start_time"] or "", reverse=True)
     return rides
 
 
 @app.get("/api/rides/{ride_id}")
-def get_ride(ride_id: str):
-    if ride_id not in _rides:
+def get_ride(ride_id: str, user: User = Depends(require_user)):
+    rides_map = get_user_rides_cached(user.id)
+    if ride_id not in rides_map:
         raise HTTPException(status_code=404, detail="Ride not found")
-    r = _rides[ride_id]
-    result = {k: v for k, v in r.items() if k != "points"}
-    result["cached_insight"] = _insights_cache.get(ride_id)
-    return result
+    r = {k: v for k, v in rides_map[ride_id].items() if k != "points"}
+    r["cached_insight"] = _get_ride_insight(ride_id)
+    return r
 
 
 @app.get("/api/rides/{ride_id}/points")
-def get_ride_points(ride_id: str):
-    if ride_id not in _rides:
+def get_ride_points(ride_id: str, user: User = Depends(require_user)):
+    rides_map = get_user_rides_cached(user.id)
+    if ride_id not in rides_map:
         raise HTTPException(status_code=404, detail="Ride not found")
-    return _rides[ride_id]["points"]
+    return _fetch_ride_points(ride_id, rides_map[ride_id]["s3_key"])
 
 
 def _karvonen_zones(rhr: int, max_hr: int, points: list[dict]) -> dict:
@@ -248,7 +284,7 @@ def _karvonen_zones(rhr: int, max_hr: int, points: list[dict]) -> dict:
     ]
     hrs = [p["hr"] for p in points if p.get("hr") is not None]
     if not hrs:
-        return {l: 0 for l in labels}
+        return {label: 0 for label in labels}
     counts = [0] * 5
     for h in hrs:
         if h < bounds[0]: counts[0] += 1
@@ -263,27 +299,33 @@ def _llm_client() -> OpenAI:
     return OpenAI(base_url=LLAMACPP_BASE_URL, api_key="not-needed")
 
 
-def _get_previous_insight(ride: dict) -> str | None:
-    """Return the cached insight for the most recent ride before this one, or None."""
-    ride_time = ride["start_time"]
+def _get_previous_insight_for_user(ride: dict, user_id: str) -> str | None:
+    ride_time = ride.get("start_time")
     if not ride_time:
         return None
-    gps_rides = [r for r in _rides.values() if r["has_gps"] and r["distance_km"] > 0 and r["start_time"]]
-    prior = sorted(
-        [r for r in gps_rides if r["start_time"] < ride_time and r["id"] in _insights_cache],
-        key=lambda r: r["start_time"],
-    )
-    if not prior:
-        return None
-    return _insights_cache[prior[-1]["id"]]
+    with Session(engine) as s:
+        row = s.execute(
+            select(Insight.text)
+            .join(Ride, Insight.ride_id == Ride.id)
+            .where(and_(
+                Ride.user_id == user_id,
+                Ride.start_time < ride_time,
+                Ride.has_gps == True,
+                Ride.distance_km > 0,
+            ))
+            .order_by(Ride.start_time.desc())
+            .limit(1)
+        ).first()
+        return row[0] if row else None
 
 
-def _build_prompt(ride: dict, rhr: int, global_max_hr: int) -> str:
+def _build_prompt(ride: dict, user_id: str, rhr: int, global_max_hr: int, points: list[dict]) -> str:
     ride_time = ride["start_time"]
-    gps_rides = [r for r in _rides.values() if r["has_gps"] and r["distance_km"] > 0 and r["start_time"]]
+    rides_map = get_user_rides_cached(user_id)
+    gps_rides = [r for r in rides_map.values() if r["has_gps"] and r["distance_km"] > 0 and r["start_time"]]
     past_rides = [r for r in gps_rides if r["start_time"] < ride_time]
 
-    zones = _karvonen_zones(rhr, global_max_hr, ride["points"])
+    zones = _karvonen_zones(rhr, global_max_hr, points)
     zone_str = ", ".join(f"{k}={v}%" for k, v in zones.items())
     duration_min = ride["duration_s"] // 60
     ride_date = ride_time[:10] if ride_time else "unknown"
@@ -291,12 +333,12 @@ def _build_prompt(ride: dict, rhr: int, global_max_hr: int) -> str:
     if past_rides:
         avg_dist = sum(r["distance_km"] for r in past_rides) / len(past_rides)
         hr_list = [r["avg_hr"] for r in past_rides if r["avg_hr"]]
-        avg_hr = sum(hr_list) / len(hr_list) if hr_list else 0
-        history_str = f"Before today they've completed {len(past_rides)} rides, averaging {avg_dist:.1f} km and {avg_hr:.0f} bpm."
+        avg_hr_val = sum(hr_list) / len(hr_list) if hr_list else 0
+        history_str = f"Before today they've completed {len(past_rides)} rides, averaging {avg_dist:.1f} km and {avg_hr_val:.0f} bpm."
     else:
         history_str = "This is one of their earliest recorded rides — no prior history to compare against."
 
-    previous_insight = _get_previous_insight(ride)
+    previous_insight = _get_previous_insight_for_user(ride, user_id)
     if previous_insight:
         prior_section = f"""
 Your feedback from their last ride:
@@ -321,17 +363,19 @@ Then one blank line, then write exactly 3–4 short paragraphs in a warm, direct
 
 
 @app.post("/api/rides/{ride_id}/insights")
-def get_insights(ride_id: str, rhr: int = Query(60, ge=30, le=100)):
-    if ride_id not in _rides:
+def post_insights(ride_id: str, user: User = Depends(require_user), rhr: int = Query(60, ge=30, le=100)):
+    rides_map = get_user_rides_cached(user.id)
+    if ride_id not in rides_map:
         raise HTTPException(status_code=404, detail="Ride not found")
-    ride = _rides[ride_id]
+    ride = rides_map[ride_id]
 
-    gps_rides = [r for r in _rides.values() if r["has_gps"] and r["distance_km"] > 0]
+    gps_rides = [r for r in rides_map.values() if r["has_gps"] and r["distance_km"] > 0]
     global_max_hr = max((r["max_hr"] or 0 for r in gps_rides), default=200)
-    prompt = _build_prompt(ride, rhr, global_max_hr)
+    points = _fetch_ride_points(ride_id, ride["s3_key"])
+    prompt = _build_prompt(ride, user.id, rhr, global_max_hr, points)
 
     client = _llm_client()
-    log.info("POST /insights ride_id=%s rhr=%d", ride_id, rhr)
+    log.info("POST /insights ride_id=%s rhr=%d user=%s", ride_id, rhr, user.id)
     log.debug("Prompt:\n%s", prompt)
 
     def stream_response():
@@ -356,8 +400,7 @@ def get_insights(ride_id: str, rhr: int = Query(60, ge=30, le=100)):
                     accumulated.append(delta)
                     yield delta
             log.info("Stream complete — %d chunks, %d chars", chunks_received, sum(len(c) for c in accumulated))
-            _insights_cache[ride_id] = "".join(accumulated)
-            _save_insights()
+            _save_ride_insight(ride_id, user.id, "".join(accumulated))
             log.info("Saved insight for %s", ride_id)
         except Exception as exc:
             log.exception("Error streaming insights: %s", exc)
@@ -367,24 +410,32 @@ def get_insights(ride_id: str, rhr: int = Query(60, ge=30, le=100)):
 
 
 @app.post("/api/insights/generate-all")
-def generate_all_insights(rhr: int = Query(60, ge=30, le=100)):
-    gps_rides = [r for r in _rides.values() if r["has_gps"] and r["distance_km"] > 0 and r["start_time"]]
+def generate_all_insights(user: User = Depends(require_user), rhr: int = Query(60, ge=30, le=100)):
+    rides_map = get_user_rides_cached(user.id)
+    gps_rides = [r for r in rides_map.values() if r["has_gps"] and r["distance_km"] > 0 and r["start_time"]]
     global_max_hr = max((r["max_hr"] or 0 for r in gps_rides), default=200)
-    # Chronological order so time-aware context is always correct
     ordered = sorted(gps_rides, key=lambda r: r["start_time"])
-    to_generate = [r for r in ordered if r["id"] not in _insights_cache]
+
+    with Session(engine) as s:
+        insighted_ids = {
+            row[0] for row in s.execute(
+                select(Insight.ride_id).where(Insight.user_id == user.id)
+            )
+        }
+    to_generate = [r for r in ordered if r["id"] not in insighted_ids]
     total = len(to_generate)
-    log.info("generate-all: %d rides to generate (rhr=%d)", total, rhr)
+    log.info("generate-all: %d rides to generate (rhr=%d user=%s)", total, rhr, user.id)
 
     def sse_stream():
-        client = _llm_client()
+        llm = _llm_client()
         for idx, ride in enumerate(to_generate, 1):
             ride_id = ride["id"]
             yield f"data: {json.dumps({'index': idx, 'total': total, 'ride_id': ride_id, 'status': 'generating'})}\n\n"
             log.info("Generating insight %d/%d: %s", idx, total, ride_id)
             try:
-                prompt = _build_prompt(ride, rhr, global_max_hr)
-                response = client.chat.completions.create(
+                points = _fetch_ride_points(ride_id, ride["s3_key"])
+                prompt = _build_prompt(ride, user.id, rhr, global_max_hr, points)
+                response = llm.chat.completions.create(
                     model=MODEL_NAME,
                     messages=[{"role": "user", "content": prompt}],
                     stream=False,
@@ -393,8 +444,7 @@ def generate_all_insights(rhr: int = Query(60, ge=30, le=100)):
                 )
                 msg = response.choices[0].message.model_dump()
                 text = msg.get("content") or msg.get("reasoning_content") or ""
-                _insights_cache[ride_id] = text
-                _save_insights()
+                _save_ride_insight(ride_id, user.id, text)
                 yield f"data: {json.dumps({'index': idx, 'total': total, 'ride_id': ride_id, 'status': 'done'})}\n\n"
             except Exception as exc:
                 log.exception("Failed insight for %s: %s", ride_id, exc)
@@ -410,10 +460,11 @@ def generate_all_insights(rhr: int = Query(60, ge=30, le=100)):
 
 
 @app.post("/api/fetch-rides")
-async def fetch_rides_from_garmin(request: Request):
+async def fetch_rides_from_garmin(request: Request, user: User = Depends(require_user)):
     body = await request.json()
     email = body.get("email", "")
     password = body.get("password", "")
+    user_id = user.id
 
     session_id = uuid.uuid4().hex
     queue: asyncio.Queue = asyncio.Queue()
@@ -432,16 +483,23 @@ async def fetch_rides_from_garmin(request: Request):
     def garmin_worker():
         try:
             emit({"status": "auth"})
-            client = Garmin(email=email, password=password, prompt_mfa=prompt_mfa)
-            client.login()
+            garmin = Garmin(email=email, password=password, prompt_mfa=prompt_mfa)
+            garmin.login()
 
             emit({"status": "fetching"})
-            activities = client.get_activities(0, 50)
+            activities = garmin.get_activities(0, 50)
             cycling = [
                 a for a in activities
                 if "cycling" in a.get("activityType", {}).get("typeKey", "")
             ]
 
+            with Session(engine) as s:
+                existing_filenames = {
+                    row[0] for row in s.execute(
+                        select(Ride.filename).where(Ride.user_id == user_id)
+                    )
+                }
+
             to_download = []
             for act in cycling:
                 act_id = act["activityId"]
@@ -450,18 +508,42 @@ async def fetch_rides_from_garmin(request: Request):
                 safe_time = start.replace(":", "-").replace(" ", "_")
                 safe_name = "".join(c for c in name if c.isalnum() or c in (" ", "_", "-")).strip()
                 filename = f"{safe_time}_{safe_name}_{act_id}.gpx"
-                if not (GPX_DIR / filename).exists():
-                    to_download.append((act_id, name, GPX_DIR / filename))
+                if filename not in existing_filenames:
+                    to_download.append((act_id, name, filename))
 
             skipped = len(cycling) - len(to_download)
             added = 0
-            for idx, (act_id, name, filepath) in enumerate(to_download, 1):
+            for idx, (act_id, name, filename) in enumerate(to_download, 1):
                 emit({"status": "downloading", "index": idx, "total": len(to_download), "name": name})
                 try:
-                    gpx_data = client.download_activity(act_id, dl_fmt=client.ActivityDownloadFormat.GPX)
-                    filepath.write_bytes(gpx_data)
-                    ride = parse_gpx(filepath)
-                    _rides[ride["id"]] = ride
+                    gpx_data = garmin.download_activity(act_id, dl_fmt=garmin.ActivityDownloadFormat.GPX)
+                    s3_key = upload_gpx(user_id, filename, gpx_data)
+                    parsed = parse_gpx_bytes(gpx_data, filename)
+                    ride_id = uuid.uuid4().hex
+                    with Session(engine) as s:
+                        s.add(Ride(
+                            id=ride_id,
+                            user_id=user_id,
+                            s3_key=s3_key,
+                            filename=filename,
+                            name=parsed["name"],
+                            activity_type=parsed["activity_type"],
+                            start_time=parsed["start_time"],
+                            end_time=parsed["end_time"],
+                            duration_s=parsed["duration_s"],
+                            distance_m=parsed["distance_m"],
+                            distance_km=parsed["distance_km"],
+                            avg_speed_kmh=parsed["avg_speed_kmh"],
+                            elevation_gain_m=parsed["elevation_gain_m"],
+                            elevation_loss_m=parsed["elevation_loss_m"],
+                            avg_hr=parsed["avg_hr"],
+                            max_hr=parsed["max_hr"],
+                            hr_zones_json=json.dumps(parsed["hr_zones"]),
+                            has_gps=parsed["has_gps"],
+                        ))
+                        s.commit()
+                    _points_cache[ride_id] = parsed["points"]
+                    invalidate_user_cache(user_id)
                     added += 1
                 except Exception as exc:
                     log.error("Failed to download activity %s: %s", act_id, exc)
@@ -474,7 +556,7 @@ async def fetch_rides_from_garmin(request: Request):
             emit({"status": "error", "message": str(exc)})
         finally:
             _mfa_sessions.pop(session_id, None)
-            emit(None)  # sentinel to end the SSE stream
+            emit(None)
 
     async def generate():
         loop.run_in_executor(None, garmin_worker)

auth.py

@@ -0,0 +1,105 @@
+import os
+import logging
+
+from authlib.integrations.starlette_client import OAuth
+from fastapi import APIRouter, HTTPException, Request
+from fastapi.responses import RedirectResponse
+from itsdangerous import BadSignature, SignatureExpired, URLSafeTimedSerializer
+
+from db import User, get_user_by_id, upsert_user
+
+log = logging.getLogger("bikeslop")
+
+OIDC_ISSUER = os.getenv("OIDC_ISSUER", "")
+OIDC_CLIENT_ID = os.getenv("OIDC_CLIENT_ID", "")
+APP_BASE_URL = os.getenv("APP_BASE_URL", "http://localhost:8000")
+SECRET_KEY = os.getenv("SECRET_KEY", "dev-secret-change-me")
+
+SESSION_COOKIE = "bs_session"
+SESSION_MAX_AGE = 30 * 24 * 3600  # 30 days
+
+_signer = URLSafeTimedSerializer(SECRET_KEY)
+
+oauth = OAuth()
+oauth.register(
+    name="authelia",
+    client_id=OIDC_CLIENT_ID,
+    client_secret=None,  # public client — no secret
+    server_metadata_url=f"{OIDC_ISSUER}/.well-known/openid-configuration" if OIDC_ISSUER else None,
+    client_kwargs={
+        "scope": "openid email profile",
+        "code_challenge_method": "S256",  # PKCE required by Authelia config
+        "token_endpoint_auth_method": "none",  # public client
+    },
+)
+
+
+def _sign_session(user_id: str) -> str:
+    return _signer.dumps({"uid": user_id})
+
+
+def _unsign_session(token: str) -> str | None:
+    try:
+        data = _signer.loads(token, max_age=SESSION_MAX_AGE)
+        return data.get("uid")
+    except (BadSignature, SignatureExpired):
+        return None
+
+
+def get_session_user(request: Request) -> User | None:
+    token = request.cookies.get(SESSION_COOKIE)
+    if not token:
+        return None
+    user_id = _unsign_session(token)
+    if not user_id:
+        return None
+    return get_user_by_id(user_id)
+
+
+def require_user(request: Request) -> User:
+    user = get_session_user(request)
+    if user is None:
+        raise HTTPException(status_code=401, detail="Not authenticated")
+    return user
+
+
+router = APIRouter()
+
+
+@router.get("/auth/login")
+async def login(request: Request):
+    if not OIDC_ISSUER:
+        raise HTTPException(status_code=503, detail="OIDC not configured (set OIDC_ISSUER)")
+    redirect_uri = f"{APP_BASE_URL}/auth/callback"
+    return await oauth.authelia.authorize_redirect(request, redirect_uri)
+
+
+@router.get("/auth/callback")
+async def callback(request: Request):
+    token = await oauth.authelia.authorize_access_token(request)
+    userinfo = token.get("userinfo") or await oauth.authelia.userinfo(token=token)
+    sub = userinfo.get("sub")
+    if not sub:
+        raise HTTPException(status_code=400, detail="OIDC userinfo missing 'sub'")
+    email = userinfo.get("email")
+    display_name = userinfo.get("name") or userinfo.get("preferred_username") or email
+    user = upsert_user(oidc_sub=sub, email=email, display_name=display_name)
+    log.info("User logged in: %s (%s)", display_name, user.id)
+    session_token = _sign_session(user.id)
+    response = RedirectResponse(url="/", status_code=302)
+    response.set_cookie(
+        SESSION_COOKIE,
+        session_token,
+        max_age=SESSION_MAX_AGE,
+        httponly=True,
+        samesite="lax",
+        secure=APP_BASE_URL.startswith("https"),
+    )
+    return response
+
+
+@router.get("/auth/logout")
+def logout():
+    response = RedirectResponse(url="/", status_code=302)
+    response.delete_cookie(SESSION_COOKIE)
+    return response

db.py

@@ -0,0 +1,145 @@
+import json
+import os
+import uuid
+from datetime import datetime, timezone
+
+from sqlalchemy import (
+    Boolean,
+    Column,
+    DateTime,
+    Float,
+    ForeignKey,
+    Integer,
+    String,
+    Text,
+    create_engine,
+)
+from sqlalchemy.orm import DeclarativeBase, Session, relationship
+
+DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///bikeslop.db")
+
+engine = create_engine(
+    DATABASE_URL,
+    connect_args={"check_same_thread": False} if DATABASE_URL.startswith("sqlite") else {},
+)
+
+
+class Base(DeclarativeBase):
+    pass
+
+
+class User(Base):
+    __tablename__ = "users"
+
+    id = Column(String, primary_key=True, default=lambda: uuid.uuid4().hex)
+    oidc_sub = Column(String, unique=True, nullable=False)
+    email = Column(String, nullable=True)
+    display_name = Column(String, nullable=True)
+    created_at = Column(DateTime, default=lambda: datetime.now(timezone.utc))
+
+    rides = relationship("Ride", back_populates="user", cascade="all, delete-orphan")
+    insights = relationship("Insight", back_populates="user", cascade="all, delete-orphan")
+
+
+class Ride(Base):
+    __tablename__ = "rides"
+
+    id = Column(String, primary_key=True, default=lambda: uuid.uuid4().hex)
+    user_id = Column(String, ForeignKey("users.id"), nullable=False)
+    s3_key = Column(String, nullable=False)
+    filename = Column(String, nullable=False)
+    name = Column(String, nullable=True)
+    activity_type = Column(String, nullable=True)
+    start_time = Column(String, nullable=True)
+    end_time = Column(String, nullable=True)
+    duration_s = Column(Integer, default=0)
+    distance_m = Column(Integer, default=0)
+    distance_km = Column(Float, default=0.0)
+    avg_speed_kmh = Column(Float, default=0.0)
+    elevation_gain_m = Column(Integer, default=0)
+    elevation_loss_m = Column(Integer, default=0)
+    avg_hr = Column(Integer, nullable=True)
+    max_hr = Column(Integer, nullable=True)
+    hr_zones_json = Column(Text, default="{}")
+    has_gps = Column(Boolean, default=True)
+
+    user = relationship("User", back_populates="rides")
+    insight = relationship("Insight", back_populates="ride", uselist=False, cascade="all, delete-orphan")
+
+    def to_dict(self) -> dict:
+        return {
+            "id": self.id,
+            "s3_key": self.s3_key,
+            "filename": self.filename,
+            "name": self.name,
+            "activity_type": self.activity_type,
+            "start_time": self.start_time,
+            "end_time": self.end_time,
+            "duration_s": self.duration_s,
+            "distance_m": self.distance_m,
+            "distance_km": self.distance_km,
+            "avg_speed_kmh": self.avg_speed_kmh,
+            "elevation_gain_m": self.elevation_gain_m,
+            "elevation_loss_m": self.elevation_loss_m,
+            "avg_hr": self.avg_hr,
+            "max_hr": self.max_hr,
+            "hr_zones": json.loads(self.hr_zones_json or "{}"),
+            "has_gps": self.has_gps,
+        }
+
+
+class Insight(Base):
+    __tablename__ = "insights"
+
+    id = Column(String, primary_key=True, default=lambda: uuid.uuid4().hex)
+    ride_id = Column(String, ForeignKey("rides.id"), nullable=False, unique=True)
+    user_id = Column(String, ForeignKey("users.id"), nullable=False)
+    text = Column(Text, nullable=False)
+    created_at = Column(DateTime, default=lambda: datetime.now(timezone.utc))
+
+    ride = relationship("Ride", back_populates="insight")
+    user = relationship("User", back_populates="insights")
+
+
+def create_tables() -> None:
+    Base.metadata.create_all(engine)
+
+
+def get_session() -> Session:
+    return Session(engine)
+
+
+def upsert_user(oidc_sub: str, email: str | None, display_name: str | None) -> User:
+    with get_session() as s:
+        user = s.query(User).filter_by(oidc_sub=oidc_sub).first()
+        if user is None:
+            user = User(oidc_sub=oidc_sub, email=email, display_name=display_name)
+            s.add(user)
+        else:
+            if email:
+                user.email = email
+            if display_name:
+                user.display_name = display_name
+        s.commit()
+        s.refresh(user)
+        return User(
+            id=user.id,
+            oidc_sub=user.oidc_sub,
+            email=user.email,
+            display_name=user.display_name,
+            created_at=user.created_at,
+        )
+
+
+def get_user_by_id(user_id: str) -> User | None:
+    with get_session() as s:
+        user = s.query(User).filter_by(id=user_id).first()
+        if user is None:
+            return None
+        return User(
+            id=user.id,
+            oidc_sub=user.oidc_sub,
+            email=user.email,
+            display_name=user.display_name,
+            created_at=user.created_at,
+        )

docker-compose.yml

@@ -0,0 +1,30 @@
+services:
+  bikeslop:
+    build: .
+    restart: unless-stopped
+    ports:
+      - "8000:8000"
+    env_file: .env
+    environment:
+      DATABASE_URL: sqlite:////data/bikeslop.db
+    volumes:
+      - ./data:/data
+    depends_on:
+      - garage
+
+  garage:
+    image: dxflrs/garage:v2.2.0
+    restart: unless-stopped
+    ports:
+      - "3900:3900"
+      - "3901:3901"
+      - "3902:3902"
+      - "3903:3903"
+    volumes:
+      - ./garage.toml:/etc/garage.toml:ro
+      - garage-meta:/var/lib/garage/meta
+      - garage-data:/var/lib/garage/data
+
+volumes:
+  garage-meta:
+  garage-data:

pyproject.toml

@@ -9,4 +9,8 @@ dependencies = [
     "fastapi>=0.115.0",
     "uvicorn[standard]>=0.30.0",
     "openai>=1.50.0",
+    "sqlalchemy>=2.0.51",
+    "boto3>=1.43.66",
+    "authlib>=1.7.2",
+    "itsdangerous>=2.2.0",
 ]

static/index.html

@@ -33,6 +33,10 @@
   #sidebar-header { padding: 16px; border-bottom: 1px solid var(--border); }
   #sidebar-header h1 { font-size: 15px; font-weight: 600; color: var(--text); }
   #sidebar-header p { color: var(--muted); font-size: 11px; margin-top: 2px; }
+  #user-row { display: none; align-items: center; justify-content: space-between; margin-top: 4px; }
+  #user-name { font-size: 11px; color: var(--muted); overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
+  #logout-link { font-size: 11px; color: var(--muted); text-decoration: none; flex-shrink: 0; margin-left: 6px; }
+  #logout-link:hover { color: var(--accent); }
   #ride-list { flex: 1; overflow-y: auto; }
   #ride-list::-webkit-scrollbar { width: 4px; }
   #ride-list::-webkit-scrollbar-thumb { background: var(--border); border-radius: 2px; }
@@ -147,6 +151,10 @@
   <div id="sidebar-header">
     <h1>bikeslop</h1>
     <p id="ride-count">Loading...</p>
+    <div id="user-row">
+      <span id="user-name"></span>
+      <a id="logout-link" href="/auth/logout">Sign out</a>
+    </div>
     <div class="rhr-row">
       <label for="rhr-input">Resting HR</label>
       <input id="rhr-input" type="number" min="30" max="100" value="60">
@@ -804,7 +812,19 @@ document.getElementById('unit-toggle').addEventListener('click', () => {
   if (currentPoints && currentPoints.length) renderCharts(currentPoints);
 });
 
+async function initAuth() {
+  const res = await fetch('/api/me');
+  if (res.status === 401) {
+    window.location.href = '/auth/login';
+    return;
+  }
+  const me = await res.json();
+  const userRow = document.getElementById('user-row');
+  userRow.style.display = 'flex';
+  document.getElementById('user-name').textContent = me.display_name || me.email || '';
   loadRides();
+}
+initAuth();
 </script>
 </body>
 </html>

storage.py

@@ -0,0 +1,36 @@
+import os
+
+import boto3
+from botocore.config import Config
+
+S3_ENDPOINT = os.getenv("S3_ENDPOINT")
+S3_BUCKET = os.getenv("S3_BUCKET", "bikeslop-gpx")
+S3_ACCESS_KEY = os.getenv("S3_ACCESS_KEY")
+S3_SECRET_KEY = os.getenv("S3_SECRET_KEY")
+
+
+def get_s3_client():
+    if not S3_ENDPOINT or not S3_ACCESS_KEY or not S3_SECRET_KEY:
+        raise RuntimeError(
+            "S3 not configured — set S3_ENDPOINT, S3_ACCESS_KEY, S3_SECRET_KEY"
+        )
+    return boto3.client(
+        "s3",
+        endpoint_url=S3_ENDPOINT,
+        aws_access_key_id=S3_ACCESS_KEY,
+        aws_secret_access_key=S3_SECRET_KEY,
+        config=Config(signature_version="s3v4"),
+    )
+
+
+def upload_gpx(user_id: str, filename: str, data: bytes) -> str:
+    s3_key = f"users/{user_id}/{filename}"
+    client = get_s3_client()
+    client.put_object(Bucket=S3_BUCKET, Key=s3_key, Body=data, ContentType="application/gpx+xml")
+    return s3_key
+
+
+def download_gpx(s3_key: str) -> bytes:
+    client = get_s3_client()
+    response = client.get_object(Bucket=S3_BUCKET, Key=s3_key)
+    return response["Body"].read()

uv.lock

@@ -32,6 +32,74 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" },
 ]
 
+[[package]]
+name = "authlib"
+version = "1.7.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+    { name = "joserfc" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/36/98/7d93f30d029643c0275dbc0bd6d5a6f670661ee6c9a94d93af7ab4887600/authlib-1.7.2.tar.gz", hash = "sha256:2cea25fefcd4e7173bdf1372c0afc265c8034b23a8cd5dcb6a9164b826c64231", size = 176511, upload-time = "2026-05-06T08:10:23.116Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fb/95/adcb68e20c34162e9135f370d6e31737719c2b6f94bc953fe7ed1f10fe21/authlib-1.7.2-py2.py3-none-any.whl", hash = "sha256:3e1faedc9d87e7d56a164eca3ccb6ace0d61b94abe83e92242f8dc8bba9b4a9f", size = 259548, upload-time = "2026-05-06T08:10:21.436Z" },
+]
+
+[[package]]
+name = "bikeslop"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+    { name = "authlib" },
+    { name = "boto3" },
+    { name = "fastapi" },
+    { name = "garminconnect" },
+    { name = "itsdangerous" },
+    { name = "openai" },
+    { name = "sqlalchemy" },
+    { name = "uvicorn", extra = ["standard"] },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "authlib", specifier = ">=1.7.2" },
+    { name = "boto3", specifier = ">=1.43.66" },
+    { name = "fastapi", specifier = ">=0.115.0" },
+    { name = "garminconnect", specifier = ">=0.3.6" },
+    { name = "itsdangerous", specifier = ">=2.2.0" },
+    { name = "openai", specifier = ">=1.50.0" },
+    { name = "sqlalchemy", specifier = ">=2.0.51" },
+    { name = "uvicorn", extras = ["standard"], specifier = ">=0.30.0" },
+]
+
+[[package]]
+name = "boto3"
+version = "1.43.66"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "botocore" },
+    { name = "jmespath" },
+    { name = "s3transfer" },
+]
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