Lars
ddcd2f4350
PHASE 2: Backend Non-Blocking Logging - KOMPLETT
Instrumentierte Endpoints (12):
- Data: weight, circumference, caliper, nutrition, activity, photos (6)
- AI: insights/run/{slug}, insights/pipeline (2)
- Export: csv, json, zip (3)
- Import: zip (1)
Pattern implementiert:
- check_feature_access() VOR Operation (non-blocking)
- [FEATURE-LIMIT] Logging wenn Limit überschritten
- increment_feature_usage() NACH Operation
- Alte Permission-Checks bleiben aktiv
Features geprüft:
- weight_entries, circumference_entries, caliper_entries
- nutrition_entries, activity_entries, photos
- ai_calls, ai_pipeline
- data_export, data_import
Monitoring: 1-2 Wochen Log-Only-Phase
Logs zeigen: Wie oft würde blockiert werden?
Nächste Phase: Frontend Display (Usage-Counter)
Phase 1 (Cleanup) + Phase 2 (Logging) vollständig!
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
93 lines
3.6 KiB
Python
93 lines
3.6 KiB
Python
"""
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Circumference Tracking Endpoints for Mitai Jinkendo
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Handles body circumference measurements (8 measurement points).
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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 CircumferenceEntry
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from routers.profiles import get_pid
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router = APIRouter(prefix="/api/circumferences", tags=["circumference"])
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logger = logging.getLogger(__name__)
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@router.get("")
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def list_circs(limit: int=100, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Get circumference 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 circumference_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_circ(e: CircumferenceEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Create or update circumference 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, 'circumference_entries')
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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"circumference_entries {access['reason']} (used: {access['used']}, limit: {access['limit']})"
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)
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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 circumference_log WHERE profile_id=%s AND date=%s", (pid,e.date))
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ex = cur.fetchone()
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d = e.model_dump()
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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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eid = ex['id']
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sets = ', '.join(f"{k}=%s" for k in d if k!='date')
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cur.execute(f"UPDATE circumference_log SET {sets} WHERE id=%s",
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[v for k,v in d.items() if k!='date']+[eid])
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else:
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# INSERT new entry
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eid = str(uuid.uuid4())
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cur.execute("""INSERT INTO circumference_log
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(id,profile_id,date,c_neck,c_chest,c_waist,c_belly,c_hip,c_thigh,c_calf,c_arm,notes,photo_id,created)
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VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)""",
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(eid,pid,d['date'],d['c_neck'],d['c_chest'],d['c_waist'],d['c_belly'],
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d['c_hip'],d['c_thigh'],d['c_calf'],d['c_arm'],d['notes'],d['photo_id']))
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# Phase 2: Increment usage counter (only for new entries)
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increment_feature_usage(pid, 'circumference_entries')
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return {"id":eid,"date":e.date}
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@router.put("/{eid}")
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def update_circ(eid: str, e: CircumferenceEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Update existing circumference entry."""
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pid = get_pid(x_profile_id)
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with get_db() as conn:
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d = e.model_dump()
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cur = get_cursor(conn)
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cur.execute(f"UPDATE circumference_log SET {', '.join(f'{k}=%s' for k in d)} WHERE id=%s AND profile_id=%s",
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list(d.values())+[eid,pid])
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return {"id":eid}
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@router.delete("/{eid}")
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def delete_circ(eid: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Delete circumference 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 circumference_log WHERE id=%s AND profile_id=%s", (eid,pid))
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return {"ok":True}
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