Lars
1298bd235f
- Create feature_logger.py with JSON logging infrastructure - Add log_feature_usage() calls to all 9 routers after check_feature_access() - Logs written to /app/logs/feature-usage.log - Tracks all usage (not just violations) for future analysis - Phase 2: Non-blocking monitoring complete Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
108 lines
4.2 KiB
Python
108 lines
4.2 KiB
Python
"""
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Weight Tracking Endpoints for Mitai Jinkendo
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Handles weight log CRUD operations and statistics.
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"""
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import uuid
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import logging
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from typing import Optional
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from fastapi import APIRouter, Header, Depends
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from db import get_db, get_cursor, r2d
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from auth import require_auth, check_feature_access, increment_feature_usage
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from models import WeightEntry
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from routers.profiles import get_pid
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from feature_logger import log_feature_usage
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router = APIRouter(prefix="/api/weight", tags=["weight"])
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logger = logging.getLogger(__name__)
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@router.get("")
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def list_weight(limit: int=365, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Get weight entries for current profile."""
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pid = get_pid(x_profile_id)
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute(
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"SELECT * FROM weight_log WHERE profile_id=%s ORDER BY date DESC LIMIT %s", (pid,limit))
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return [r2d(r) for r in cur.fetchall()]
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@router.post("")
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def upsert_weight(e: WeightEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Create or update weight entry (upsert by date)."""
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pid = get_pid(x_profile_id)
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# Phase 2: Check feature access (non-blocking, log only)
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access = check_feature_access(pid, 'weight_entries')
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# Structured logging (always)
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log_feature_usage(pid, 'weight_entries', access, 'create')
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# Warning if limit exceeded (legacy)
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if not access['allowed']:
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logger.warning(
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f"[FEATURE-LIMIT] User {pid} would be blocked: "
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f"weight_entries {access['reason']} (used: {access['used']}, limit: {access['limit']})"
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)
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# NOTE: Phase 2 does NOT block - just logs!
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute("SELECT id FROM weight_log WHERE profile_id=%s AND date=%s", (pid,e.date))
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ex = cur.fetchone()
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is_new_entry = not ex
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if ex:
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# UPDATE existing entry
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cur.execute("UPDATE weight_log SET weight=%s,note=%s WHERE id=%s", (e.weight,e.note,ex['id']))
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wid = ex['id']
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else:
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# INSERT new entry
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wid = str(uuid.uuid4())
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cur.execute("INSERT INTO weight_log (id,profile_id,date,weight,note,created) VALUES (%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)",
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(wid,pid,e.date,e.weight,e.note))
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# Phase 2: Increment usage counter (only for new entries)
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increment_feature_usage(pid, 'weight_entries')
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return {"id":wid,"date":e.date,"weight":e.weight}
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@router.put("/{wid}")
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def update_weight(wid: str, e: WeightEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Update existing weight entry."""
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pid = get_pid(x_profile_id)
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute("UPDATE weight_log SET date=%s,weight=%s,note=%s WHERE id=%s AND profile_id=%s",
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(e.date,e.weight,e.note,wid,pid))
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return {"id":wid}
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@router.delete("/{wid}")
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def delete_weight(wid: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Delete weight entry."""
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pid = get_pid(x_profile_id)
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute("DELETE FROM weight_log WHERE id=%s AND profile_id=%s", (wid,pid))
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return {"ok":True}
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@router.get("/stats")
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def weight_stats(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Get weight statistics (last 90 days)."""
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pid = get_pid(x_profile_id)
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute("SELECT date,weight FROM weight_log WHERE profile_id=%s ORDER BY date DESC LIMIT 90", (pid,))
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rows = cur.fetchall()
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if not rows: return {"count":0,"latest":None,"prev":None,"min":None,"max":None,"avg_7d":None}
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w=[float(r['weight']) for r in rows]
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return {"count":len(rows),"latest":{"date":rows[0]['date'],"weight":float(rows[0]['weight'])},
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"prev":{"date":rows[1]['date'],"weight":float(rows[1]['weight'])} if len(rows)>1 else None,
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"min":min(w),"max":max(w),"avg_7d":round(sum(w[:7])/min(7,len(w)),2)}
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