From d1cfd0fd8e926f3fa34cf3ed307ff75f23e8f387 Mon Sep 17 00:00:00 2001 From: sstent Date: Fri, 16 Jan 2026 15:35:26 -0800 Subject: [PATCH] feat: implement Fitbit OAuth, Garmin MFA, and optimize segment discovery - Add Fitbit authentication flow (save credentials, OAuth callback handling) - Implement Garmin MFA support with successful session/cookie handling - Optimize segment discovery with new sampling and activity query services - Refactor database session management in discovery API for better testability - Enhance activity data parsing for charts and analysis - Update tests to use testcontainers and proper dependency injection - Clean up repository by ignoring and removing tracked transient files (.pyc, .db) --- .gitignore | 58 +++ FitnessSync/backend/.coverage | Bin 53248 -> 0 bytes .../backend/__pycache__/main.cpython-311.pyc | Bin 6242 -> 0 bytes .../backend/__pycache__/main.cpython-313.pyc | Bin 5560 -> 0 bytes .../alembic/__pycache__/env.cpython-311.pyc | Bin 3238 -> 0 bytes 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logger.info("Database migrations skipped (manual override).") except Exception as e: logger.error(f"Error running database migrations: {e}") else: logger.warning("DATABASE_URL not set, skipping migrations.") # Start Scheduler - try: - from src.services.scheduler import scheduler - scheduler.start() - logger.info("Scheduler started.") - except Exception as e: - logger.error(f"Failed to start scheduler: {e}") + if not os.getenv("TESTING"): + try: + from src.services.scheduler import scheduler + scheduler.start() + logger.info("Scheduler started.") + except Exception as e: + logger.error(f"Failed to start scheduler: {e}") + else: + logger.info("TESTING mode detected: Scheduler disabled.") yield logger.info("--- Application Shutting Down ---") - try: - from src.services.scheduler import scheduler - scheduler.stop() - except: - pass + if not os.getenv("TESTING"): + try: + from src.services.scheduler import scheduler + scheduler.stop() + except: + pass app = FastAPI(lifespan=lifespan) diff --git a/FitnessSync/backend/requirements.txt b/FitnessSync/backend/requirements.txt index fa119d8..9fac272 100644 --- a/FitnessSync/backend/requirements.txt +++ b/FitnessSync/backend/requirements.txt @@ -3,12 +3,12 @@ uvicorn[standard]==0.24.0 garminconnect==0.2.30 garth==0.5.17 fitbit==0.3.1 -sqlalchemy==2.0.23 -asyncpg==0.29.0 -psycopg2-binary==2.9.9 +sqlalchemy>=2.0.30 +asyncpg>=0.29.0 +psycopg2-binary jinja2==3.1.2 python-dotenv==1.0.0 -pydantic==2.1.1 +pydantic>=2.4.0 requests==2.31.0 httpx==0.25.2 aiofiles==23.2.1 @@ -17,3 +17,4 @@ pytest-asyncio==0.21.1 alembic==1.13.1 fitdecode>=0.10.0 geoalchemy2>=0.14.0 +testcontainers[postgres]>=3.7.1 diff --git a/FitnessSync/backend/scripts/repair_geodata.py b/FitnessSync/backend/scripts/repair_geodata.py new file mode 100644 index 0000000..a85d8c5 --- /dev/null +++ b/FitnessSync/backend/scripts/repair_geodata.py @@ -0,0 +1,96 @@ +import os +import json +import logging +from sqlalchemy import create_engine, text +from sqlalchemy.orm import sessionmaker + +# Configure logging +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') +logger = logging.getLogger(__name__) + +# Constants +DATABASE_URL = os.getenv("DATABASE_URL", "postgresql://postgres:postgres@db:5432/fitbit_garmin_sync") +# If running outside docker, use localhost:5433 +if "db:5432" in DATABASE_URL and os.system("ping -c 1 db > /dev/null 2>&1") != 0: + DATABASE_URL = DATABASE_URL.replace("db:5432", "localhost:5433") + +def repair_geodata(): + engine = create_engine(DATABASE_URL) + Session = sessionmaker(bind=engine) + session = Session() + + try: + # 1. Repair Segments (Populate NULL geom) + logger.info("Starting segment geom repair...") + result = session.execute(text("SELECT id, name, points FROM segments WHERE geom IS NULL")) + segments_to_fix = result.fetchall() + + logger.info(f"Found {len(segments_to_fix)} segments with NULL geom.") + for seg_id, name, points_json in segments_to_fix: + try: + points = json.loads(points_json) if isinstance(points_json, str) else points_json + if not points: + logger.warning(f"Segment {seg_id} ({name}) has no points. Skipping.") + continue + + wkt_coords = [f"{p[0]} {p[1]}" for p in points if len(p) >= 2] + if not wkt_coords: + logger.warning(f"Segment {seg_id} ({name}) has invalid points. Skipping.") + continue + + geom_wkt = f"SRID=4326;LINESTRING({', '.join(wkt_coords)})" + session.execute( + text("UPDATE segments SET geom = ST_GeomFromText(:wkt, 4326) WHERE id = :id"), + {"wkt": geom_wkt, "id": seg_id} + ) + logger.info(f"Fixed Segment {seg_id}: {name}") + except Exception as e: + logger.error(f"Error fixing Segment {seg_id}: {e}") + + # 2. Repair Activities (Populate NULL start_lat/lng from streams) + logger.info("\nStarting activity coordinate repair...") + # Join with activity_streams to find valid coordinates + result = session.execute(text(""" + SELECT a.id, a.activity_name, s.latitude, s.longitude + FROM activities a + JOIN activity_streams s ON a.id = s.activity_id + WHERE (a.start_lat IS NULL OR a.start_lng IS NULL) + """)) + activities_to_fix = result.fetchall() + + logger.info(f"Found {len(activities_to_fix)} activities without coordinates but with streams.") + + fixed_count = 0 + for act_id, name, lats, lons in activities_to_fix: + try: + # Find first non-null coord + start_lat = None + start_lng = None + for lat, lon in zip(lats or [], lons or []): + if lat is not None and lon is not None: + start_lat = lat + start_lng = lon + break + + if start_lat is not None: + session.execute( + text("UPDATE activities SET start_lat = :lat, start_lng = :lng WHERE id = :id"), + {"lat": start_lat, "lng": start_lng, "id": 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zPp6Azc=47_&DJjUY%%cIGHKa@<%KN<9$UF8*1F_h?$}}=v1MS{-en`!?%mSqSR1C{ z@vD3_Tl#Ag!=7M&qtdgg-!Kq?;X`HkhV3PrXsKBJ8N(&a6DeXM3w$2L`v+N?`qxb0n?Km@%Xd8fqb*|<0Kh{**670sLYyq8BG zqGw_YUlGCKO%R?& zvzsbNZdRx3*R37F`o}+Vo_)Xcy_!difjuB{ZJYR9ySarAtO#aK6(l!{XH?L?#;#2U z6L-&S(dXu6Z5m;{*fE3{hd;6(SS$SzU~FL9mjM$z5Yq@?g5>59i&ZLKs<=I}+94ir z#`d3BtPt7$M=F-JW5JV95R#zqDCDk-v-O)QHC!k!@o?&fCzflFL7>aY_(XH1*m4YU Z^?}ue&0B7N3^SgGMUS(O5JDyB{{=gKh%f*E diff --git a/FitnessSync/backend/src/api/activities.py b/FitnessSync/backend/src/api/activities.py index 691ff52..5bd8246 100644 --- a/FitnessSync/backend/src/api/activities.py +++ b/FitnessSync/backend/src/api/activities.py @@ -1,30 +1,26 @@ + from fastapi import APIRouter, Query, Response, HTTPException, Depends, BackgroundTasks from pydantic import BaseModel from typing import List, Optional, Dict, Any -from sqlalchemy import func -from ..models.activity import Activity import logging from ..services.postgresql_manager import PostgreSQLManager from sqlalchemy.orm import Session from ..utils.config import config +from .status import get_db # New Sync Imports from ..services.job_manager import job_manager -from ..models.activity_state import GarminActivityState -from datetime import datetime -from ..services.parsers import extract_points_from_file -import fitdecode +from ..services.activity_query import ActivityQueryService +from ..services.activity_file import ActivityFileService +from ..services.parsers import extract_summary +from ..models.activity_state import GarminActivityState +from ..models.activity import Activity router = APIRouter() logger = logging.getLogger(__name__) -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session - class BikeSetupInfo(BaseModel): id: int frame: str @@ -85,39 +81,17 @@ async def list_activities( Return metadata for all scanned activities, indicating download status. """ try: - logger.info(f"Listing activities with limit={limit}, offset={offset}") - - # Query GarminActivityState (all known activities) - # Left join with Activity to get file status - - results = ( - db.query(GarminActivityState, Activity) - .outerjoin(Activity, GarminActivityState.garmin_activity_id == Activity.garmin_activity_id) - .order_by(GarminActivityState.start_time.desc()) - .offset(offset) - .limit(limit) - .all() - ) + results = ActivityQueryService.list_activities(db, limit, offset) activity_responses = [] for state, activity in results: - # Determine logic - # If activity exists in 'Activity' table, use its details? - # Or prefer GarminActivityState metadata? - # State metadata is from scan (Garth). Activity is from file parse (db import). - # Usually Activity data is richer IF downloaded. - is_downloaded = ( activity is not None and activity.download_status == 'downloaded' and activity.file_content is not None ) - download_status = 'downloaded' if is_downloaded else 'pending' - # Or use state.sync_status? state.sync_status is 'new', 'synced'. - # 'synced' usually means downloaded. - - # Construct response + activity_responses.append( ActivityResponse( id=activity.id if activity else None, @@ -125,7 +99,7 @@ async def list_activities( activity_name=state.activity_name, activity_type=state.activity_type, start_time=state.start_time.isoformat() if state.start_time else None, - duration=activity.duration if activity else None, # Duration might only be in file parse? Or scan could get it? Scan currently doesn't fetch duration. + duration=activity.duration if activity else None, file_type=activity.file_type if activity else None, download_status=download_status, downloaded_at=activity.downloaded_at.isoformat() if (activity and activity.downloaded_at) else None, @@ -142,8 +116,6 @@ async def list_activities( is_estimated_power=activity.is_estimated_power if activity else False ) ) - - logger.info(f"Returning {len(activity_responses)} activities") return activity_responses except Exception as e: logger.error(f"Error in list_activities: {str(e)}") @@ -166,73 +138,11 @@ async def query_activities( Allow advanced filtering of activities. """ try: - logger.info(f"Querying activities - type: {activity_type}, start: {start_date}, end: {end_date}, status: {download_status}") + activities = ActivityQueryService.query_activities( + db, activity_type, start_date, end_date, download_status, + bike_setup_id, has_power, has_hr, has_cadence, is_estimated_power + ) - # Start building the query - query = db.query(Activity) - - # Apply filters based on parameters - if activity_type: - if activity_type == 'cycling': - # Match outdoor cycling types - # Using OR filtering for various sub-types - from sqlalchemy import or_ - query = query.filter(or_( - Activity.activity_type == 'cycling', - Activity.activity_type == 'road_biking', - Activity.activity_type == 'mountain_biking', - Activity.activity_type == 'gravel_cycling', - Activity.activity_type == 'cyclocross', - Activity.activity_type == 'track_cycling', - Activity.activity_type == 'commuting' - )) - else: - query = query.filter(Activity.activity_type == activity_type) - - if start_date: - from datetime import datetime - start_dt = datetime.fromisoformat(start_date) - query = query.filter(Activity.start_time >= start_dt) - - if end_date: - from datetime import datetime - end_dt = datetime.fromisoformat(end_date) - query = query.filter(Activity.start_time <= end_dt) - - if download_status: - query = query.filter(Activity.download_status == download_status) - - if bike_setup_id: - query = query.filter(Activity.bike_setup_id == bike_setup_id) - - if has_power is not None: - if has_power: - query = query.filter(Activity.avg_power != None) - else: - query = query.filter(Activity.avg_power == None) - - if has_hr is not None: - if has_hr: - query = query.filter(Activity.avg_hr != None) - else: - query = query.filter(Activity.avg_hr == None) - - if has_cadence is not None: - if has_cadence: - query = query.filter(Activity.avg_cadence != None) - else: - query = query.filter(Activity.avg_cadence == None) - - if is_estimated_power is not None: - if is_estimated_power: - query = query.filter(Activity.is_estimated_power == True) - else: - query = query.filter(Activity.is_estimated_power == False) - - # Execute the query - activities = query.all() - - # Convert SQLAlchemy objects to Pydantic models activity_responses = [] for activity in activities: activity_responses.append( @@ -259,8 +169,6 @@ async def query_activities( is_estimated_power=activity.is_estimated_power ) ) - - logger.info(f"Returning {len(activity_responses)} filtered activities") return activity_responses except Exception as e: logger.error(f"Error in query_activities: {str(e)}") @@ -269,52 +177,20 @@ async def query_activities( @router.get("/activities/download/{activity_id}") async def download_activity(activity_id: str, db: Session = Depends(get_db)): """ - Serve the stored activity file from the database. + Download the original activity file (FIT/TCX/GPX). """ try: - logger.info(f"Downloading activity with ID: {activity_id}") - - # Find the activity in the database - activity = db.query(Activity).filter(Activity.garmin_activity_id == activity_id).first() - - if not activity: - raise HTTPException(status_code=404, detail=f"Activity with ID {activity_id} not found") - - if not activity.file_content: - raise HTTPException(status_code=404, detail=f"No file content available for activity {activity_id}") - - if activity.download_status != 'downloaded': - raise HTTPException(status_code=400, detail=f"File for activity {activity_id} is not ready for download (status: {activity.download_status})") - - # Determine the appropriate content type based on the file type - content_type_map = { - 'tcx': 'application/vnd.garmin.tcx+xml', - 'gpx': 'application/gpx+xml', - 'fit': 'application/octet-stream' # FIT files are binary - } - - content_type = content_type_map.get(activity.file_type, 'application/octet-stream') - filename = f"activity_{activity_id}.{activity.file_type}" - - logger.info(f"Returning file for activity {activity_id} with content type {content_type}") - return Response( - content=activity.file_content, - media_type=content_type, - headers={ - "Content-Disposition": f"attachment; filename={filename}", - "Content-Length": str(len(activity.file_content)) - } - ) - except HTTPException: - # Re-raise HTTP exceptions as-is - raise + return ActivityFileService.get_file_response(db, activity_id) + except HTTPException as e: + raise e except Exception as e: - raise HTTPException(status_code=500, detail=f"Error downloading activity: {str(e)}") + logger.error(f"Error downloading activity: {e}") + raise HTTPException(status_code=500, detail=str(e)) @router.get("/activities/{activity_id}/details", response_model=ActivityDetailResponse) async def get_activity_details(activity_id: str, db: Session = Depends(get_db)): """ - Get full details for a specific activity. + Get full details for a specific activity, merging DB metadata with file summary stats if needed. """ try: activity = db.query(Activity).filter(Activity.garmin_activity_id == activity_id).first() @@ -326,9 +202,9 @@ async def get_activity_details(activity_id: str, db: Session = Depends(get_db)): if activity.file_content and (activity.distance is None or activity.elevation_gain is None or activity.avg_hr is None): try: if activity.file_type == 'fit': - overrides = _extract_summary_from_fit(activity.file_content) - elif activity.file_type == 'tcx': - # overrides = _extract_summary_from_tcx(activity.file_content) # Optional TODO + overrides = extract_summary(activity.file_content, 'fit') + elif activity.file_type == 'tcx': + # overrides = _extract_summary_from_tcx(activity.file_content) # Optional TODO pass except Exception as e: logger.warning(f"Failed to extract summary from file: {e}") @@ -360,14 +236,14 @@ async def get_activity_details(activity_id: str, db: Session = Depends(get_db)): elevation_loss=val('elevation_loss', 'total_descent'), avg_cadence=val('avg_cadence', 'avg_cadence'), max_cadence=val('max_cadence', 'max_cadence'), - steps=activity.steps, # No session step count usually + steps=activity.steps, aerobic_te=val('aerobic_te', 'total_training_effect'), anaerobic_te=val('anaerobic_te', 'total_anaerobic_training_effect'), avg_power=val('avg_power', 'avg_power'), max_power=val('max_power', 'max_power'), norm_power=val('norm_power', 'normalized_power'), tss=val('tss', 'training_stress_score'), - vo2_max=activity.vo2_max, # Usually not in simple session msg directly but maybe + vo2_max=activity.vo2_max, avg_respiration_rate=val('avg_respiration_rate', 'avg_respiration_rate'), max_respiration_rate=val('max_respiration_rate', 'max_respiration_rate'), is_estimated_power=activity.is_estimated_power or False, @@ -432,10 +308,7 @@ async def redownload_activity_endpoint(activity_id: str, db: Session = Depends(g raise HTTPException(status_code=401, detail="Garmin not authenticated or tokens invalid. Please go to Setup.") garmin_client = GarminClient() - # Double check connection? if not garmin_client.check_connection(): - # Try refreshing? For now just fail if token load wasn't enough - # But usually token load is enough. pass sync_app = SyncApp(db, garmin_client) @@ -447,8 +320,7 @@ async def redownload_activity_endpoint(activity_id: str, db: Session = Depends(g try: from ..services.bike_matching import process_activity_matching - # Fetch fresh activity object using new session logic or flush/commit handled by sync_app - # Just query by garmin_id + # Fetch fresh activity object using new session logic act_obj = db.query(Activity).filter(Activity.garmin_activity_id == activity_id).first() if act_obj: process_activity_matching(db, act_obj.id) @@ -485,8 +357,11 @@ async def update_activity_bike(activity_id: str, update: BikeMatchUpdate, db: Se raise HTTPException(status_code=404, detail="Activity not found") # Verify bike setup exists if provided + from ..services.activity_file import ActivityFileService + from ..models.activity import Activity + from ..models.stream import ActivityStream + from ..models.bike_setup import BikeSetup if update.bike_setup_id: - from ..models.bike_setup import BikeSetup setup = db.query(BikeSetup).filter(BikeSetup.id == update.bike_setup_id).first() if not setup: raise HTTPException(status_code=404, detail="Bike Setup not found") @@ -581,7 +456,9 @@ async def sync_pending_trigger( job_id = job_manager.create_job("sync_pending_activities") db_manager = PostgreSQLManager(config.DATABASE_URL) - background_tasks.add_task(run_sync_job, job_id, limit, db_manager.get_db_session) + # Default limit to 20 if not provided + actual_limit = limit if limit is not None else 20 + background_tasks.add_task(run_sync_job, job_id, actual_limit, db_manager.get_db_session) return {"job_id": job_id, "status": "started"} @router.get("/activities/sync/status") @@ -613,6 +490,9 @@ async def get_activity_geojson(activity_id: str, db: Session = Depends(get_db)): raise HTTPException(status_code=404, detail="Activity or file content not found") points = [] + # Use cleaner import if available, otherwise strict usage of extract_points_from_file + from ..services.parsers import extract_points_from_file + if activity.file_type in ['fit', 'tcx']: points = extract_points_from_file(activity.file_content, activity.file_type) else: @@ -639,294 +519,25 @@ async def get_activity_geojson(activity_id: str, db: Session = Depends(get_db)): logger.error(f"Error generating GeoJSON: {e}") raise HTTPException(status_code=500, detail=str(e)) -def _extract_streams_from_fit(file_content: bytes) -> Dict[str, List[Any]]: - streams = { - "time": [], - "heart_rate": [], - "power": [], - "altitude": [], - "speed": [], - "cadence": [], - "respiration_rate": [] - } - try: - import fitdecode - import io - - start_time = None - with io.BytesIO(file_content) as f: - with fitdecode.FitReader(f) as fit: - for frame in fit: - if frame.frame_type == fitdecode.FIT_FRAME_DATA and frame.name == 'record': - timestamp = frame.get_value('timestamp') - if not start_time and timestamp: - start_time = timestamp - - if timestamp and start_time: - # Relative time in seconds - t = (timestamp - start_time).total_seconds() - - # Helper to safely get value with fallback - def get_val(frame, keys): - for k in keys: - if frame.has_field(k): - return frame.get_value(k) - return None - streams["time"].append(t) - streams["heart_rate"].append(get_val(frame, ['heart_rate'])) - streams["power"].append(get_val(frame, ['power'])) - streams["altitude"].append(get_val(frame, ['enhanced_altitude', 'altitude'])) - streams["speed"].append(get_val(frame, ['enhanced_speed', 'speed'])) # m/s (enhanced is also m/s) - streams["cadence"].append(get_val(frame, ['cadence'])) - streams["respiration_rate"].append(get_val(frame, ['respiration_rate', 'enhanced_respiration_rate'])) - except Exception as e: - logger.error(f"Error extracting streams from FIT: {e}") - - # Apply LTTB Downsampling - try: - from ..utils.algorithms import lttb - target_points = 1500 # Plenty for 4k screens, but much smaller than raw 1s data - - # We need a primary axis to sample against, typically Time. - # But LTTB is 2D (x,y). We have multiple Ys for one X (time). - # Strategy: Use Time vs Power (or HR/Speed) to pick key indices? - # Or simpler: Just LTTB each stream independently against Time? - # Independent LTTB might misalign peaks across streams (e.g. HR peak might slightly shift vs Power peak). - # Better: Pick 'Power' (most volatile) as the driver for indices? - # Or Simple Decimation for speed? - # Actually, let's just LTTB each one. The slight misalignment is negligible for visualization. - - # Check if we have enough points to warrant sampling - count = len(streams["time"]) - if count > target_points: - # Create (time, index) pairs to find which indices to keep? - # No, standard LTTB takes (x,y). - - # Helper to LTTB a specific stream - def sample_stream(name): - if not streams.get(name) or len(streams[name]) != count: return - - # Filter out Nones for LTTB? No, preserve index? - # LTTB requires values. If we have gaps, it's tricky. - # Let's replace None with 0 (or prev value) for sampling purposes? - # Or just use simple uniform sampling (decimation) which is "good enough" and keeps perfect alignment. - pass - # CHANGING STRATEGY: - # LTTB is great for one line. For aligned multi-series, simple bucket averaging or decimation is safer to keep alignment. - # However, decimation loses peaks. - # - # Let's try: "Bucket Max/Avg". - # Or simplified: Use LTTB on the "most interesting" metric (Power) to select the timestamps, then sample others at those timestamps. - - # Implementation: Use simple N-th sampling for now to guarantee alignment and speed improvement. - # It's an order of magnitude faster than full LTTB and robust for "Loading Speed" requests. - - step = count / target_points - indices = [int(i * step) for i in range(target_points)] - # Ensure last point included - if indices[-1] != count - 1: indices[-1] = count - 1 - - sampled_streams = {k: [] for k in streams} - - for idx in indices: - for k in streams: - if idx < len(streams[k]): - sampled_streams[k].append(streams[k][idx]) - - return sampled_streams - - except Exception as e: - logger.error(f"Error during downsampling: {e}") - # Return original if sampling fails - - return streams - -def _extract_summary_from_fit(file_content: bytes) -> Dict[str, Any]: - summary = {} - try: - with io.BytesIO(file_content) as f: - with fitdecode.FitReader(f) as fit: - for frame in fit: - if frame.frame_type == fitdecode.FIT_FRAME_DATA and frame.name == 'session': - # Prefer enhanced fields - def get(keys): - for k in keys: - if frame.has_field(k): return frame.get_value(k) - return None - - summary['total_distance'] = get(['total_distance']) - summary['total_timer_time'] = get(['total_timer_time', 'total_elapsed_time']) - summary['total_calories'] = get(['total_calories']) - summary['avg_heart_rate'] = get(['avg_heart_rate']) - summary['max_heart_rate'] = get(['max_heart_rate']) - summary['avg_cadence'] = get(['avg_cadence']) - summary['max_cadence'] = get(['max_cadence']) - summary['avg_power'] = get(['avg_power']) - summary['max_power'] = get(['max_power']) - summary['total_ascent'] = get(['total_ascent']) - summary['total_descent'] = get(['total_descent']) - summary['enhanced_avg_speed'] = get(['enhanced_avg_speed', 'avg_speed']) - summary['enhanced_max_speed'] = get(['enhanced_max_speed', 'max_speed']) - summary['normalized_power'] = get(['normalized_power']) - summary['training_stress_score'] = get(['training_stress_score']) - summary['total_training_effect'] = get(['total_training_effect']) - summary['total_anaerobic_training_effect'] = get(['total_anaerobic_training_effect']) - - # Stop after first session message (usually only one per file, or first is summary) - # Actually FIT can have multiple sessions (multipsport). We'll take the first for now. - break - except Exception as e: - logger.error(f"Error extraction summary from FIT: {e}") - return summary - -def _extract_streams_from_tcx(file_content: bytes) -> Dict[str, List[Any]]: - streams = { - "time": [], - "heart_rate": [], - "power": [], - "altitude": [], - "speed": [], - "cadence": [] - } - try: - root = ET.fromstring(file_content) - # Namespace strip hack - start_time = None - - for trkpt in root.iter(): - if trkpt.tag.endswith('Trackpoint'): - timestamp_str = None - hr = None - pwr = None - alt = None - cad = None - spd = None - - for child in trkpt.iter(): - if child.tag.endswith('Time'): - timestamp_str = child.text - elif child.tag.endswith('AltitudeMeters'): - try: alt = float(child.text) - except: pass - elif child.tag.endswith('HeartRateBpm'): - for val in child: - if val.tag.endswith('Value'): - try: hr = int(val.text) - except: pass - elif child.tag.endswith('Cadence'): # Standard TCX cadence - try: cad = int(child.text) - except: pass - elif child.tag.endswith('Extensions'): - # TPX extensions for speed/power - for ext in child.iter(): - if ext.tag.endswith('Speed'): - try: spd = float(ext.text) - except: pass - elif ext.tag.endswith('Watts'): - try: pwr = int(ext.text) - except: pass - - if timestamp_str: - try: - # TCX time format is ISO8601 usually - ts = datetime.fromisoformat(timestamp_str.replace('Z', '+00:00')) - if not start_time: - start_time = ts - - streams["time"].append((ts - start_time).total_seconds()) - streams["heart_rate"].append(hr) - streams["power"].append(pwr) - streams["altitude"].append(alt) - streams["speed"].append(spd) - streams["cadence"].append(cad) - except: pass - - except Exception as e: - logger.error(f"Error extracting streams from TCX: {e}") - return streams @router.get("/activities/{activity_id}/streams") async def get_activity_streams(activity_id: str, db: Session = Depends(get_db)): """ - Return time series data for charts. + Return time series data for charts. + Delegates to ActivityFileService for caching and parsing. """ try: - activity = db.query(Activity).filter(Activity.garmin_activity_id == activity_id).first() - if not activity: - raise HTTPException(status_code=404, detail="Activity not found") - - # 1. Try fetching high-res streams from ActivityStream table - from ..models.stream import ActivityStream - stream_record = db.query(ActivityStream).filter_by(activity_id=activity.id).first() - - if stream_record: - # Map DB columns to API response format - return { - "time": stream_record.time_offset or [], - "heart_rate": stream_record.heart_rate or [], - "power": stream_record.power or [], - "altitude": stream_record.elevation or [], - "speed": stream_record.speed or [], - "cadence": stream_record.cadence or [], - "respiration_rate": [], # Add if needed, not in ActivityStream model currently? Oh, I didn't add it to model? - # Actually I should check if I added respiration_rate to ActivityStream model in step 61/105 migration. - # In migration: I did NOT adding respiration_rate. - # In parsers.py: I only capture 'time_offset', 'latitude', 'longitude', 'elevation', 'heart_rate', 'power', 'cadence', 'speed', 'distance', 'temperature', 'moving', 'grade_smooth'. - # The old endpoint had respiration_rate. - # If it's missing, I'll return empty or I should have added it. - # For now return empty list to avoid breaking frontend. - "distance": stream_record.distance or [], - "temperature": stream_record.temperature or [] - } - - # 2. Check DB Cache (Legacy) - if activity.streams_json: - return activity.streams_json - - if not activity.file_content: - # Just return empty if no file and no streams - return {} - - # 3. Fallback: Parse on the fly AND save to DB - # This mirrors the behavior of lazy loading but using the new robust table - try: - from ..services.sync.activity import GarminActivitySync # avoid circular imports if possible, or use parser directly - # Actually better to just use parser and save manually here or import the function. - # But the logic is already in GarminActivitySync._save_activity_streams. - # However, GarminActivitySync needs GarminClient init. - # Let's just use the parser directly and insert like in _save_activity_streams - - from ..services.parsers import parse_fit_to_streams - data = parse_fit_to_streams(activity.file_content) - if data: - # Save to DB - new_stream = ActivityStream(activity_id=activity.id, **data) - db.add(new_stream) - db.commit() - - return { - "time": data['time_offset'], - "heart_rate": data['heart_rate'], - "power": data['power'], - "altitude": data['elevation'], - "speed": data['speed'], - "cadence": data['cadence'], - "distance": data['distance'], - "temperature": data['temperature'], - "respiration_rate": [] - } - except Exception as e: - logger.error(f"Error lazy parsing streams: {e}") - - return {} # Return empty if all fails - + return ActivityFileService.get_streams(db, activity_id) + except HTTPException: + raise except Exception as e: logger.error(f"Error processing streams: {e}") raise HTTPException(status_code=500, detail="Error processing activity streams") + @router.post("/activities/{activity_id}/estimate_power") async def estimate_activity_power(activity_id: int, db: Session = Depends(get_db)): """ diff --git a/FitnessSync/backend/src/api/analysis.py b/FitnessSync/backend/src/api/analysis.py index 04b1d34..88e67d1 100644 --- a/FitnessSync/backend/src/api/analysis.py +++ b/FitnessSync/backend/src/api/analysis.py @@ -20,10 +20,7 @@ from ..utils.config import config router = APIRouter() -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session +from .status import get_db class EffortAnalysisData(BaseModel): effort_id: int diff --git a/FitnessSync/backend/src/api/auth.py b/FitnessSync/backend/src/api/auth.py index 811b7cd..35608c3 100644 --- a/FitnessSync/backend/src/api/auth.py +++ b/FitnessSync/backend/src/api/auth.py @@ -16,15 +16,11 @@ from ..models.api_token import APIToken from ..models.config import Configuration from garth.exc import GarthException import garth +from .status import get_db router = APIRouter() logger = logging.getLogger(__name__) -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session - class GarminCredentials(BaseModel): username: str password: str @@ -151,7 +147,13 @@ def complete_garmin_mfa(mfa_request: GarminMFARequest, db: Session = Depends(get else: raise HTTPException(status_code=400, detail="MFA verification failed.") + raise HTTPException(status_code=400, detail="MFA verification failed.") + except Exception as e: + if "No pending MFA session found" in str(e): + raise HTTPException(status_code=400, detail="No pending MFA session found.") + if "Invalid MFA code" in str(e): # Handle GarthException message + raise HTTPException(status_code=400, detail=f"MFA verification failed: {str(e)}") logger.error(f"MFA verification failed with exception: {e}", exc_info=True) raise HTTPException(status_code=500, detail=f"MFA verification failed: {str(e)}") diff --git a/FitnessSync/backend/src/api/bike_setups.py b/FitnessSync/backend/src/api/bike_setups.py index d485911..f96e95c 100644 --- a/FitnessSync/backend/src/api/bike_setups.py +++ b/FitnessSync/backend/src/api/bike_setups.py @@ -9,15 +9,11 @@ from ..models.bike_setup import BikeSetup from ..models.base import Base from ..services.postgresql_manager import PostgreSQLManager from ..utils.config import config +# Import shared get_db dependency +from .status import get_db logger = logging.getLogger(__name__) -# Reusing get_db logic (it should ideally be in a shared common module, but for now reproducing it to avoid circular imports or refactoring) -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session - class BikeSetupCreate(BaseModel): frame: str chainring: int diff --git a/FitnessSync/backend/src/api/config_routes.py b/FitnessSync/backend/src/api/config_routes.py index faa18e2..171ab33 100644 --- a/FitnessSync/backend/src/api/config_routes.py +++ b/FitnessSync/backend/src/api/config_routes.py @@ -7,15 +7,11 @@ import json from ..services.postgresql_manager import PostgreSQLManager from ..utils.config import config +from .status import get_db router = APIRouter() logger = logging.getLogger(__name__) -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session - @router.post("/setup/load-consul-config") def load_consul_config(db: Session = Depends(get_db)): logger = logging.getLogger(__name__) diff --git a/FitnessSync/backend/src/api/discovery.py b/FitnessSync/backend/src/api/discovery.py index 6b70c1d..9fac77e 100644 --- a/FitnessSync/backend/src/api/discovery.py +++ b/FitnessSync/backend/src/api/discovery.py @@ -2,26 +2,25 @@ from fastapi import APIRouter, Depends, HTTPException from sqlalchemy.orm import Session from datetime import datetime -from ..models import Base # Ensure models are loaded if needed +from ..models.activity import Activity from ..services.postgresql_manager import PostgreSQLManager from ..utils.config import config from ..services.discovery import SegmentDiscoveryService from ..schemas.discovery import DiscoveryFilter, DiscoveryResult, CandidateSegmentSchema, SingleDiscoveryRequest +from ..services.parsers import extract_activity_data + + +from .status import get_db router = APIRouter() -def get_db_session(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session - @router.post("/segments", response_model=DiscoveryResult) def discover_segments( filter: DiscoveryFilter, - db: Session = Depends(get_db_session) + db: Session = Depends(get_db) ): service = SegmentDiscoveryService(db) @@ -32,7 +31,9 @@ def discover_segments( candidates, debug_paths = service.discover_segments( activity_type=filter.activity_type, start_date=start, - end_date=filter.end_date + end_date=filter.end_date, + min_frequency=filter.min_frequency, + max_candidates=filter.max_candidates ) @@ -57,7 +58,7 @@ def discover_segments( @router.post("/single", response_model=DiscoveryResult) def discover_single_activity( request: SingleDiscoveryRequest, - db: Session = Depends(get_db_session) + db: Session = Depends(get_db) ): service = SegmentDiscoveryService(db) @@ -78,12 +79,34 @@ def discover_single_activity( distance=c.distance, activity_ids=c.activity_ids )) + + # Fetch activity type for frontend context + act_type = None + # Use cached session or query fresh? logic in service used it. + # We can query quickly here. + act = db.query(Activity).filter(Activity.id == request.activity_id).first() + if not act: + # Fallback to Garmin Activity ID (passed as int, convert to str) + act = db.query(Activity).filter(Activity.garmin_activity_id == str(request.activity_id)).first() + + if act: + act_type = act.activity_type + # Fallback if DB type is missing but file exists + if not act_type and act.file_content: + try: + parsed = extract_activity_data(act.file_content, act.file_type) + if parsed and parsed.get('type'): + act_type = parsed.get('type') + except Exception: + pass # Ignore parsing errors here + return DiscoveryResult( candidates=results, generated_at=datetime.now(), activity_count=1, - debug_paths=None + debug_paths=None, + analyzed_activity_type=act_type ) diff --git a/FitnessSync/backend/src/api/metrics.py b/FitnessSync/backend/src/api/metrics.py index 31cd8ca..7fbc89e 100644 --- a/FitnessSync/backend/src/api/metrics.py +++ b/FitnessSync/backend/src/api/metrics.py @@ -14,10 +14,7 @@ router = APIRouter() logger = logging.getLogger(__name__) -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session +from .status import get_db class HealthMetricResponse(BaseModel): id: int diff --git a/FitnessSync/backend/src/api/scheduling.py b/FitnessSync/backend/src/api/scheduling.py index c58b182..c8b19e1 100644 --- a/FitnessSync/backend/src/api/scheduling.py +++ b/FitnessSync/backend/src/api/scheduling.py @@ -15,10 +15,7 @@ from ..services.scheduler import scheduler router = APIRouter() logger = logging.getLogger(__name__) -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session +from .status import get_db class ScheduledJobResponse(BaseModel): id: int diff --git a/FitnessSync/backend/src/api/segments.py b/FitnessSync/backend/src/api/segments.py index a35c244..9c03b86 100644 --- a/FitnessSync/backend/src/api/segments.py +++ b/FitnessSync/backend/src/api/segments.py @@ -7,14 +7,10 @@ from ..services.postgresql_manager import PostgreSQLManager from ..utils.config import config from pydantic import BaseModel import json +from .status import get_db router = APIRouter() -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - yield session - class SegmentCreate(BaseModel): name: str description: Optional[str] = None @@ -100,7 +96,20 @@ def create_segment(payload: SegmentCreate, db: Session = Depends(get_db)): elev_gain += diff # Determine Activity Type - raw_type = payload.activity_type or activity.activity_type + # Prioritize DB > Payload > File Extraction + raw_type = activity.activity_type or payload.activity_type + + # Fallback to parsing file if type is missing + if not raw_type and activity.file_content: + try: + from ..services.parsers import extract_activity_data + parsed_data = extract_activity_data(activity.file_content, activity.file_type) + if parsed_data and parsed_data.get('type'): + raw_type = parsed_data.get('type') + print(f"DEBUG SEGMENT TYPE: Inferred '{raw_type}' from file content") + except Exception as e: + print(f"DEBUG SEGMENT TYPE: Failed to extract type from file: {e}") + final_type = 'cycling' # Default if raw_type: @@ -382,6 +391,20 @@ def save_custom_segment(payload: SegmentCreateCustom, db: Session = Depends(get_ bounds = calculate_bounds(payload.points) + # Discovery results (payload.points) might be already simplified or high-res. + # For geom, we'll use them as is, or apply a slight RDP if they are very dense. + # Given they come from discovery, they are likely already reasonably dense. + + # Create WKT for Geometry + wkt_coords = [] + for p in payload.points: + if len(p) >= 2: + wkt_coords.append(f"{p[0]} {p[1]}") + + geom_wkt = None + if wkt_coords: + geom_wkt = f"SRID=4326;LINESTRING({', '.join(wkt_coords)})" + segment = Segment( name=payload.name, description=payload.description, @@ -389,7 +412,8 @@ def save_custom_segment(payload: SegmentCreateCustom, db: Session = Depends(get_ elevation_gain=elev_gain, activity_type=payload.activity_type, points=json.dumps(payload.points), - bounds=json.dumps(bounds) + bounds=json.dumps(bounds), + geom=geom_wkt ) db.add(segment) diff --git a/FitnessSync/backend/src/api/sync.py b/FitnessSync/backend/src/api/sync.py index 80565ab..d483d9a 100644 --- a/FitnessSync/backend/src/api/sync.py +++ b/FitnessSync/backend/src/api/sync.py @@ -19,6 +19,7 @@ from fitbit import exceptions from ..models.weight_record import WeightRecord from ..models.config import Configuration from enum import Enum +from .status import get_db router = APIRouter() logger = logging.getLogger(__name__) @@ -59,11 +60,6 @@ class JobStatusResponse(BaseModel): message: str cancel_requested: bool -def get_db(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as session: - 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get_file_response(db: Session, activity_id: str) -> Response: + """ + Retrieve and prepare a file download response. + """ + activity = db.query(Activity).filter(Activity.garmin_activity_id == activity_id).first() + + if not activity: + raise HTTPException(status_code=404, detail=f"Activity with ID {activity_id} not found") + + if not activity.file_content: + raise HTTPException(status_code=404, detail=f"No file content available for activity {activity_id}") + + # Check if synced/downloaded? + # Existing logic checked 'download_status == downloaded'. + if activity.download_status != 'downloaded': + raise HTTPException(status_code=400, detail=f"File for activity {activity_id} is not ready for download (status: {activity.download_status})") + + content_type_map = { + 'tcx': 'application/vnd.garmin.tcx+xml', + 'gpx': 'application/gpx+xml', + 'fit': 'application/octet-stream' + } + + content_type = content_type_map.get(activity.file_type, 'application/octet-stream') + filename = f"activity_{activity_id}.{activity.file_type}" + + return Response( + content=activity.file_content, + media_type=content_type, + headers={"Content-Disposition": f"attachment; filename={filename}"} + ) + + @staticmethod + def get_streams(db: Session, activity_id: str) -> Dict[str, List[Any]]: + """ + Get activity streams, preferring DB cache (Activity.streams_json), falling back to file parse. + Applies downsampling and caches the result. + """ + activity = db.query(Activity).filter(Activity.garmin_activity_id == activity_id).first() + + if not activity: + # Return empty or raise error? Existing logic returned empty structure if not found. + # But here we need activity to check cache. + # If activity doesn't exist, we can't get file content either. + return {k: [] for k in ["time", "heart_rate", "power", "altitude", "speed", "cadence", "respiration_rate"]} + + # 1. Check Cache + if activity.streams_json: + logger.info(f"Hit streams_json cache for {activity_id}") + return activity.streams_json + + # 2. Parse from file + logger.info(f"Parsing streams on-the-fly for {activity_id}") + full_streams = None + + if activity.file_content and activity.file_type == 'fit': + try: + full_streams = parse_fit_to_streams(activity.file_content) + except Exception as e: + logger.error(f"Error parsing FIT for streams: {e}") + + if not full_streams: + return {k: [] for k in ["time", "heart_rate", "power", "altitude", "speed", "cadence", "respiration_rate"]} + + # 3. Downsample + downsampled = downsample_streams(full_streams) + + # 4. Cache Result + try: + activity.streams_json = downsampled + db.commit() + except Exception as e: + logger.error(f"Failed to cache streams_json: {e}") + db.rollback() + + return downsampled + diff --git a/FitnessSync/backend/src/services/activity_query.py b/FitnessSync/backend/src/services/activity_query.py new file mode 100644 index 0000000..fbd299e --- /dev/null +++ b/FitnessSync/backend/src/services/activity_query.py @@ -0,0 +1,107 @@ + +from typing import List, Optional, Tuple, Any +from sqlalchemy.orm import Session +from sqlalchemy import or_, func, desc +from ..models.activity import Activity +from ..models.activity_state import GarminActivityState +from ..models.bike_setup import BikeSetup +import logging + +logger = logging.getLogger(__name__) + +class ActivityQueryService: + @staticmethod + def list_activities(db: Session, limit: int, offset: int) -> List[Tuple[Optional[GarminActivityState], Optional[Activity]]]: + """ + List activities combining GarminActivityState and Activity tables. + Returns a list of tuples (state, activity). + """ + return ( + db.query(GarminActivityState, Activity) + .outerjoin(Activity, GarminActivityState.garmin_activity_id == Activity.garmin_activity_id) + .order_by(GarminActivityState.start_time.desc()) + .offset(offset) + .limit(limit) + .all() + ) + + @staticmethod + def query_activities( + db: Session, + activity_type: Optional[str] = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + download_status: Optional[str] = None, + bike_setup_id: Optional[int] = None, + has_power: Optional[bool] = None, + has_hr: Optional[bool] = None, + has_cadence: Optional[bool] = None, + is_estimated_power: Optional[bool] = None + ) -> List[Activity]: + """ + Advanced filtering of activities. + """ + query = db.query(Activity) + + if activity_type: + if activity_type == 'cycling': + query = query.filter(or_( + Activity.activity_type == 'cycling', + Activity.activity_type == 'road_biking', + Activity.activity_type == 'mountain_biking', + Activity.activity_type == 'gravel_cycling', + Activity.activity_type == 'cyclocross', + Activity.activity_type == 'track_cycling', + Activity.activity_type == 'commuting' + )) + else: + query = query.filter(Activity.activity_type == activity_type) + + if start_date: + from datetime import datetime + start_dt = datetime.fromisoformat(start_date) + query = query.filter(Activity.start_time >= start_dt) + + if end_date: + from datetime import datetime + end_dt = datetime.fromisoformat(end_date) + query = query.filter(Activity.start_time <= end_dt) + + if download_status: + query = query.filter(Activity.download_status == download_status) + + if bike_setup_id: + query = query.filter(Activity.bike_setup_id == bike_setup_id) + + if has_power is not None: + if has_power: + query = query.filter(Activity.avg_power != None) + else: + query = query.filter(Activity.avg_power == None) + + if has_hr is not None: + if has_hr: + query = query.filter(Activity.avg_hr != None) + else: + query = query.filter(Activity.avg_hr == None) + + if has_cadence is not None: + if has_cadence: + query = query.filter(Activity.avg_cadence != None) + else: + query = query.filter(Activity.avg_cadence == None) + + if is_estimated_power is not None: + if is_estimated_power: + query = query.filter(Activity.is_estimated_power == True) + else: + query = query.filter(Activity.is_estimated_power == False) + + return query.all() + + @staticmethod + def get_activity_by_id(db: Session, activity_id: str) -> Optional[Activity]: + """ + Retrieve a single activity by its Garmin Activity ID. + """ + return db.query(Activity).filter(Activity.garmin_activity_id == activity_id).first() diff --git a/FitnessSync/backend/src/services/bike_matching.py b/FitnessSync/backend/src/services/bike_matching.py index 2626dce..421ccc9 100644 --- a/FitnessSync/backend/src/services/bike_matching.py +++ b/FitnessSync/backend/src/services/bike_matching.py @@ -236,12 +236,15 @@ def process_activity_matching(db: Session, activity_id: int): db.commit() -def run_matching_for_all(db: Session): +def run_matching_for_all(db: Session, job_id: str = None): """ Run matching for all activities that don't have a setup. """ from sqlalchemy import or_ + # Import job_manager locally to avoid circular dependencies + from ..services.job_manager import job_manager + activities = db.query(Activity).filter( # Activity.bike_setup_id == None, # Re-match everything to enforce new rules/constraints @@ -257,8 +260,22 @@ def run_matching_for_all(db: Session): or_(Activity.bike_match_confidence == None, Activity.bike_match_confidence < 2.0) ).all() + total = len(activities) count = 0 - for act in activities: + + if job_id: + job_manager.update_job(job_id, message=f"Found {total} candidates. Matching...", progress=0) + + for i, act in enumerate(activities): + # Check cancellation + if job_id and i % 10 == 0: + if job_manager.should_cancel(job_id): + break + # Update progress + progress = int((i / total) * 100) if total > 0 else 100 + job_manager.update_job(job_id, progress=progress) + process_activity_matching(db, act.id) count += 1 + logger.info(f"Ran matching for {count} activities.") diff --git a/FitnessSync/backend/src/services/discovery.py b/FitnessSync/backend/src/services/discovery.py index 939d765..48bcb19 100644 --- a/FitnessSync/backend/src/services/discovery.py +++ b/FitnessSync/backend/src/services/discovery.py @@ -36,7 +36,9 @@ class SegmentDiscoveryService: def discover_segments(self, activity_type: str, start_date: Optional[datetime], - end_date: Optional[datetime] = None) -> Tuple[List[CandidateSegment], List[List[List[float]]]]: + end_date: Optional[datetime] = None, + min_frequency: int = 2, + max_candidates: int = 10) -> Tuple[List[CandidateSegment], List[List[List[float]]]]: @@ -94,9 +96,8 @@ class SegmentDiscoveryService: grid[(xi, yi)].add(act_id) # 4. Filter Hotspots - # Keep cells with > 2 unique activities - min_freq = 2 - hotspot_cells = {k: v for k, v in grid.items() if len(v) >= min_freq} + # Keep cells with > min_frequency unique activities + hotspot_cells = {k: v for k, v in grid.items() if len(v) >= min_frequency} logger.info(f"Found {len(hotspot_cells)} hotspot cells.") @@ -151,6 +152,10 @@ class SegmentDiscoveryService: # 7. Deduplicate against DB final_candidates = self._deduplicate_against_db(candidates, activity_type) + # Sort by frequency desc and limit + final_candidates.sort(key=lambda c: c.frequency, reverse=True) + final_candidates = final_candidates[:max_candidates] + return final_candidates, list(activity_paths.values()) diff --git a/FitnessSync/backend/src/services/garmin/__pycache__/auth.cpython-311.pyc b/FitnessSync/backend/src/services/garmin/__pycache__/auth.cpython-311.pyc deleted file mode 100644 index 6bc30d0183efa7490cefd9264b23da78093ced8d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 13783 zcmb_ieQXm+mT!Nz?RFf8Bqj+7oev0s;6Q)?fxv{13@{Ehow>`Nm^oIhrHX8^cYRbd&j(-i*qM^ zlm0Qkjj~fbJ;4+z}I2(Mo`pd@_L{ilzQrmyj- zxK3FQ-T9A~L-2Bs;wkLzn4Ponj&VC@|DkitiSL|)cX3YMHSXqI5a%XwZuoXWqn%?O z@=fzJe0$;B%lV+ue$CrIEnPjCxS2?4cJ6ZA=oQrEg+I3J4ng zX6+M3{t3)Uu4rMbD9K-lqo|2OHz=vXjJ5K3)+vR|G|ri&Ca?|U`YFY^K5}sGhaM~U 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lon, ele), timestamps, hr, power. + Returns: { Returns: { 'points': [[lon, lat, ele], ...], 'timestamps': [datetime, ...], 'heart_rate': [int, ...], 'power': [int, ...], 'speed': [float, ...], - 'cadence': [int, ...] + 'cadence': [int, ...], + 'type': str # Added activity type } """ if file_type == 'fit': - return _extract_data_from_fit(file_content) + return _extract_data_from_fit(file_content, strict_gps) elif file_type == 'tcx': return _extract_data_from_tcx(file_content) - return {'points': [], 'timestamps': [], 'heart_rate': [], 'power': []} + return {'points': [], 'timestamps': [], 'heart_rate': [], 'power': [], 'type': None} def extract_points_from_file(file_content: bytes, file_type: str) -> List[List[float]]: - # Wrapper for backward compatibility + """ + Extracts purely the coordinate points (lon, lat, optional ele) from the file. + Legacy wrapper for backward compatibility. + """ data = extract_activity_data(file_content, file_type) return data['points'] def extract_timestamps_from_file(file_content: bytes, file_type: str) -> List[Optional[datetime]]: - # Wrapper for backward compatibility + """ + Extracts timestamps corresponding to the data points. + Legacy wrapper for backward compatibility. + """ data = extract_activity_data(file_content, file_type) return data['timestamps'] -def _extract_data_from_fit(file_content: bytes) -> Dict[str, List[Any]]: +def _extract_data_from_fit(file_content: bytes, strict_gps: bool = True) -> Dict[str, List[Any]]: + """ + Internal helper to parse FIT files using fitdecode. + Args: + strict_gps: If True, only extracts records that have valid GPS coordinates. + If False, extracts all 'record' messages (useful for indoor activities). + """ data = { 'points': [], 'timestamps': [], 'heart_rate': [], 'power': [], 'speed': [], 'cadence': [], 'temperature': [], 'distance': [], 'respiration_rate': [], - 'session': {} # New key for summary data + 'respiration_rate': [], + 'altitude': [], # Add explicit altitude stream + 'session': {}, # New key for summary data + 'type': None } try: with io.BytesIO(file_content) as f: with fitdecode.FitReader(f) as fit: for frame in fit: if frame.frame_type == fitdecode.FIT_FRAME_DATA: - if frame.name == 'record': + if frame.name == 'sport': + if frame.has_field('sport'): + sport_enum = frame.get_value('sport') + # fitdecode usually returns strings for enums if known + data['type'] = str(sport_enum).lower() + + elif frame.name == 'record': # We only collect data if position is valid, to keep streams aligned with points? # Or should we collect everything and align by index? # Usually points extraction filtered by lat/lon. If we want aligned arrays, we must apply same filter. - if frame.has_field('position_lat') and frame.has_field('position_long'): - lat_sc = frame.get_value('position_lat') - lon_sc = frame.get_value('position_long') + # Logic: If strict_gps is True, we skip records without GPS. + # If strict_gps is False, we take all records, but points might be None. + + has_gps = frame.has_field('position_lat') and frame.has_field('position_long') + + if has_gps or not strict_gps: + lat = None + lon = None + ele = None - if lat_sc is not None and lon_sc is not None: - lat = lat_sc * (180.0 / 2**31) - lon = lon_sc * (180.0 / 2**31) + if has_gps: + lat_sc = frame.get_value('position_lat') + lon_sc = frame.get_value('position_long') + if lat_sc is not None and lon_sc is not None: + lat = lat_sc * (180.0 / 2**31) + lon = lon_sc * (180.0 / 2**31) - ele = None - if frame.has_field('enhanced_altitude'): - ele = frame.get_value('enhanced_altitude') - elif frame.has_field('altitude'): - ele = frame.get_value('altitude') - + if frame.has_field('enhanced_altitude'): + ele = frame.get_value('enhanced_altitude') + elif frame.has_field('altitude'): + ele = frame.get_value('altitude') + + data['altitude'].append(ele) + + if lat is not None: data['points'].append([lon, lat, ele] if ele is not None else [lon, lat]) + else: + data['points'].append(None) - # Timestamps - ts = frame.get_value('timestamp') if frame.has_field('timestamp') else None - data['timestamps'].append(ts) - - # Speed - speed = frame.get_value('enhanced_speed') if frame.has_field('enhanced_speed') else frame.get_value('speed') if frame.has_field('speed') else None - data['speed'].append(speed) + # Timestamps + ts = frame.get_value('timestamp') if frame.has_field('timestamp') else None + data['timestamps'].append(ts) + + # Speed + speed = frame.get_value('enhanced_speed') if frame.has_field('enhanced_speed') else frame.get_value('speed') if frame.has_field('speed') else None + data['speed'].append(speed) - # Distance - dist = frame.get_value('distance') if frame.has_field('distance') else None - data['distance'].append(dist) + # Distance + dist = frame.get_value('distance') if frame.has_field('distance') else None + data['distance'].append(dist) - # Cadence - cad = frame.get_value('cadence') if frame.has_field('cadence') else None - data['cadence'].append(cad) - - # HR - hr = frame.get_value('heart_rate') if frame.has_field('heart_rate') else None - data['heart_rate'].append(hr) - - # Power - pwr = frame.get_value('power') if frame.has_field('power') else None - data['power'].append(pwr) + # Cadence + cad = frame.get_value('cadence') if frame.has_field('cadence') else None + data['cadence'].append(cad) + + # HR + hr = frame.get_value('heart_rate') if frame.has_field('heart_rate') else None + data['heart_rate'].append(hr) + + # Power + pwr = frame.get_value('power') if frame.has_field('power') else None + data['power'].append(pwr) - # Temperature - temp = frame.get_value('temperature') if frame.has_field('temperature') else None - data['temperature'].append(temp) + # Temperature + temp = frame.get_value('temperature') if frame.has_field('temperature') else None + data['temperature'].append(temp) - # Respiration Rate - resp = frame.get_value('respiration_rate') if frame.has_field('respiration_rate') else frame.get_value('enhanced_respiration_rate') if frame.has_field('enhanced_respiration_rate') else None - if 'respiration_rate' not in data: - data['respiration_rate'] = [] - data['respiration_rate'].append(resp) + # Respiration Rate + resp = frame.get_value('respiration_rate') if frame.has_field('respiration_rate') else frame.get_value('enhanced_respiration_rate') if frame.has_field('enhanced_respiration_rate') else None + if 'respiration_rate' not in data: + data['respiration_rate'] = [] + data['respiration_rate'].append(resp) elif frame.name == 'session': # Extract summary fields @@ -113,7 +149,10 @@ def _extract_data_from_fit(file_content: bytes) -> Dict[str, List[Any]]: 'avg_stress', 'avg_spo2', 'total_strokes', 'avg_stroke_distance', # Standard Metrics - 'max_heart_rate', 'max_speed', 'enhanced_max_speed', 'max_cadence', + 'total_distance', 'total_timer_time', 'total_elapsed_time', 'total_calories', + 'avg_heart_rate', 'max_heart_rate', 'avg_cadence', 'max_cadence', + 'avg_power', 'max_power', 'avg_speed', 'enhanced_avg_speed', + 'max_speed', 'enhanced_max_speed', 'total_ascent', 'total_descent', 'total_training_effect', 'total_anaerobic_training_effect', 'training_stress_score', 'normalized_power' @@ -214,10 +253,24 @@ def _extract_points_from_fit(file_content: bytes) -> List[List[float]]: return _extract_data_from_fit(file_content)['points'] def _extract_data_from_tcx(file_content: bytes) -> Dict[str, List[Any]]: - data = {'points': [], 'timestamps': [], 'heart_rate': [], 'power': []} + """ + Internal helper to parse TCX files using ElementTree. + Extracts trackpoints including extension data (Power). + """ + data = {'points': [], 'timestamps': [], 'heart_rate': [], 'power': [], 'type': None} try: root = ET.fromstring(file_content) ns = {'ns': 'http://www.garmin.com/xmlschemas/TrainingCenterDatabase/v2'} + + # Extract Activity Type (Sport) + # Search for Activity tags anywhere + for activity in root.iter(): + if activity.tag.endswith('Activity'): + sport = activity.get('Sport') + if sport: + data['type'] = sport.lower() + break + # TCX namespaces can be tricky. Using simple tag checks for valid coords. for trkpt in root.iter(): @@ -276,3 +329,92 @@ def _extract_points_from_tcx(file_content: bytes) -> List[List[float]]: + + +def extract_streams(file_content: bytes, file_type: str) -> Dict[str, List[Any]]: + """ + Extracts streams specifically formatted for frontend analysis/charts. + Standardizes output format (e.g. relative time in seconds). + + Returns dict with keys: + - time (relative seconds) + - heart_rate + - power + - altitude + - speed + - cadence + - respiration_rate + """ + streams = { + "time": [], + "heart_rate": [], + "power": [], + "altitude": [], + "speed": [], + "cadence": [], + "respiration_rate": [] + } + + # Use strict_gps=False to get all data (including indoor) + raw_data = extract_activity_data(file_content, file_type, strict_gps=False) + + timestamps = raw_data.get('timestamps', []) + if not timestamps: + return streams + + start_time = None + # Find first non-none timestamp + for t in timestamps: + if t: + start_time = t + break + + if not start_time: + return streams + + # Generate streams + # Points include altitude. They might be None if no GPS. + points = raw_data.get('points', []) + + # Pre-fetch other arrays + hr = raw_data.get('heart_rate', []) + pwr = raw_data.get('power', []) + # speed/cadence/resp + spd = raw_data.get('speed', []) + cad = raw_data.get('cadence', []) + resp = raw_data.get('respiration_rate', []) + + for i, ts in enumerate(timestamps): + if ts is None: + # Skip records without timestamp? + # If we skip, we break alignment if we were just iterating? + # But we are iterating arrays by index 'i'. + # If TS is None, we probably shouldn't plot it. + continue + + t_rel = (ts - start_time).total_seconds() + + streams['time'].append(t_rel) + streams['heart_rate'].append(hr[i] if i < len(hr) else None) + streams['power'].append(pwr[i] if i < len(pwr) else None) + streams['speed'].append(spd[i] if i < len(spd) else None) + streams['cadence'].append(cad[i] if i < len(cad) else None) + streams['respiration_rate'].append(resp[i] if i < len(resp) else None) + + # Altitude + ele = None + if i < len(points): + p = points[i] + # p is [lon, lat, ele?] or [lon, lat] or None + if p and len(p) > 2: + ele = p[2] + streams['altitude'].append(ele) + + return streams + +def extract_summary(file_content: bytes, file_type: str) -> Dict[str, Any]: + """ + Extract summary stats (session/metadata). + """ + data = extract_activity_data(file_content, file_type, strict_gps=False) + return data.get('session', {}) diff --git a/FitnessSync/backend/src/services/segment_matcher.py b/FitnessSync/backend/src/services/segment_matcher.py index 441c365..2509893 100644 --- a/FitnessSync/backend/src/services/segment_matcher.py +++ b/FitnessSync/backend/src/services/segment_matcher.py @@ -119,7 +119,8 @@ class SegmentMatcher: # Map segment type to activity types (inverse of what we do in match_activity) if segment.activity_type == 'running': query = query.filter(or_( - Activity.activity_type.ilike('running'), + Activity.activity_type.ilike('running%'), + Activity.activity_type.ilike('run'), # Exact match for "run" or "Run" Activity.activity_type.ilike('trail_running'), Activity.activity_type.ilike('treadmill_running'), # unlikely to have GPS but safe Activity.activity_type.ilike('walking'), @@ -142,7 +143,54 @@ class SegmentMatcher: query = query.options(joinedload(Activity.streams)) candidates = query.all() - logger.info(f"Segment Scan: Found {len(candidates)} candidate activities for Segment {segment.name} ({segment.id})") + candidate_ids = {a.id for a in candidates} + + # Fallback: Find activities without streams (or failed intersects) using rough proximity + # Use start_lat/lng if available + if segment.points: + try: + seg_points = json.loads(segment.points) if isinstance(segment.points, str) else segment.points + if seg_points: + start_lon, start_lat = seg_points[0] # GeoJSON is lon, lat + + # Search window ~5km (approx 0.05 deg) + lat_min, lat_max = start_lat - 0.05, start_lat + 0.05 + lon_min, lon_max = start_lon - 0.05, start_lon + 0.05 + + fallback_query = self.db.query(Activity).filter( + Activity.start_lat.between(lat_min, lat_max), + Activity.start_lng.between(lon_min, lon_max), + Activity.id.notin_(candidate_ids) # Avoid duplicates + ) + + # Apply regex Type Filter (same as above) + if segment.activity_type == 'running': + fallback_query = fallback_query.filter(or_( + Activity.activity_type.ilike('running%'), + Activity.activity_type.ilike('run'), + Activity.activity_type.ilike('trail_running'), + Activity.activity_type.ilike('treadmill_running'), + Activity.activity_type.ilike('walking'), + Activity.activity_type.ilike('hiking') + )) + elif segment.activity_type == 'cycling': + fallback_query = fallback_query.filter(or_( + Activity.activity_type.ilike('%cycling%'), + Activity.activity_type.ilike('%road_biking%'), + Activity.activity_type.ilike('%mountain%'), + Activity.activity_type.ilike('%mtb%'), + Activity.activity_type.ilike('%cyclocross%') + )) + + fb_candidates = fallback_query.all() + if fb_candidates: + logger.info(f"Segment Scan: Found {len(fb_candidates)} additional candidates via proximity fallback.") + candidates.extend(fb_candidates) + + except Exception as e: + logger.warning(f"Fallback proximity scan failed: {e}") + + logger.info(f"Segment Scan: Found {len(candidates)} total candidate activities for Segment {segment.name} ({segment.id})") matches_found = 0 diff --git a/FitnessSync/backend/src/services/sync/__pycache__/__init__.cpython-311.pyc b/FitnessSync/backend/src/services/sync/__pycache__/__init__.cpython-311.pyc deleted file mode 100644 index 6cd416f0bbcfa6f4ac4dc4e70846d960f80452af..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 151 zcmZ3^%ge<81hsu}nIQTxh=2h`DC095kTIPhg&~+hlhJP_LlF~@{~09tOG`hopg=z< zF*!RmFGat&C|SQawWusJIki~7xH2zUKR!M)FS8^*Uaz3?7l%!5eoARhs$CH)P%Fsr VVtyd;ftit!@dE>lC}IYR0RT9&A(a3C diff --git a/FitnessSync/backend/src/services/sync/__pycache__/__init__.cpython-313.pyc 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(or handled gracefully if not). + We use the 'time' stream (or the first found) to determine length. + target_points: Number of points to reduce to. + + Returns: + New Dictionary with downsampled lists. + """ + if not streams: + return {} + + # Find a reference key to determine length (prefer 'time') + ref_key = 'time' if 'time' in streams else next(iter(streams)) + count = len(streams[ref_key]) + + if count <= target_points: + return streams + + step = count / target_points + indices = [int(i * step) for i in range(target_points)] + + # Ensure last point included for completeness + if indices[-1] != count - 1: + indices[-1] = count - 1 + + sampled_streams = {k: [] for k in streams} + + for idx in indices: + for k in streams: + # Safety check if some streams are shorter/missing + if streams[k] and idx < len(streams[k]): + sampled_streams[k].append(streams[k][idx]) + else: + # Should we append None? Or skip? + # If we skip, streams become misaligned. Appending None is safer. + # But if the whole stream was empty/None, maybe acceptable. + if streams[k] is not None: # List exists but index out of bounds? + sampled_streams[k].append(None) + + return sampled_streams diff --git a/FitnessSync/backend/templates/discovery.html b/FitnessSync/backend/templates/discovery.html index 5d3a662..dbf4cc0 100644 --- a/FitnessSync/backend/templates/discovery.html +++ b/FitnessSync/backend/templates/discovery.html @@ -63,95 +63,99 @@ -
- - -
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Parsing Options
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Split segment if stopped longer than this.
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Higher values simplify path more (ignores small - wiggles).
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Split segment if sharp turn detected.
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Ignore segments shorter than this.
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+ + +
Split segment if stopped longer than this.
+
+
+ + +
Higher values simplify path more (ignores small + wiggles).
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+ + +
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+
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+ + +
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+
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@@ -209,7 +222,9 @@ let currentLayers = []; let debugLayerGroup = L.layerGroup().addTo(map); let debugPathsData = []; + // removed duplicates let currentCandidates = []; // Store data for saving + let currentAnalyzedType = null; // Store type from single analysis // Results DOM @@ -332,7 +347,9 @@ headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ activity_type: type, - start_date: start ? new Date(start).toISOString() : null + start_date: start ? new Date(start).toISOString() : null, + min_frequency: parseInt(document.getElementById('minRuns').value), + max_candidates: parseInt(document.getElementById('maxCands').value) }) }); @@ -386,11 +403,13 @@ if (!response.ok) throw new Error('Single Analysis failed'); const data = await response.json(); - // Clear map currentLayers.forEach(l => map.removeLayer(l)); currentLayers = []; debugLayerGroup.clearLayers(); + // Store the type returned by backend + currentAnalyzedType = data.analyzed_activity_type; + renderCandidates(data.candidates); } catch (err) { @@ -444,6 +463,17 @@ document.getElementById('saveCandidateIndex').value = index; document.getElementById('segmentName').value = `New Segment #${index + 1}`; document.getElementById('segmentDesc').value = 'Discovered from activity analysis'; + + // Pre-select Activity Type + let defaultType = 'cycling'; + if (currentAnalyzedType) { + defaultType = currentAnalyzedType; + } else { + // Fallback to global dropdown value + defaultType = document.getElementById('activityType').value; + } + document.getElementById('saveActivityType').value = defaultType; + saveModal.show(); } @@ -467,8 +497,8 @@ // but the candidate obj doesn't have type. // Let's assume 'cycling' or try to grab from UI. - let actType = document.getElementById('activityType').value; - // If single tab active, we might not know. + // Determine activity type + let actType = document.getElementById('saveActivityType').value; const payload = { name: name, diff --git a/FitnessSync/backend/test_segment_optimization.py b/FitnessSync/backend/test_segment_optimization.py deleted file mode 100644 index 9523846..0000000 --- a/FitnessSync/backend/test_segment_optimization.py +++ /dev/null @@ -1,87 +0,0 @@ - -import sys -import os -import logging -from sqlalchemy import create_engine -from sqlalchemy.orm import sessionmaker -from sqlalchemy.sql import func -import datetime - -# Setup environment -sys.path.append(os.path.dirname(os.path.abspath(__file__))) - -from src.models.activity import Activity -from src.models.segment import Segment -from src.services.postgresql_manager import PostgreSQLManager -from src.utils.config import config -from src.services.job_manager import job_manager - -# Configure logging -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -def test_optimization(): - db_manager = PostgreSQLManager(config.DATABASE_URL) - with db_manager.get_db_session() as db: - # 1. Reset - activity = db.query(Activity).filter(Activity.id == 256).first() - if not activity: - print("Activity 256 not found") - return - - print("Resetting last_segment_scan_timestamp...") - activity.last_segment_scan_timestamp = None - db.commit() - - # 2. Get Max Segment Date - max_seg_date = db.query(func.max(Segment.created_at)).scalar() - print(f"Max Segment Date: {max_seg_date}") - - # 3. Simulate Logic Check (Pass 1) - last_scan = activity.last_segment_scan_timestamp - if last_scan and max_seg_date and last_scan >= max_seg_date: - print("PASS 1: Optimization INCORRECTLY skipped!") - else: - print("PASS 1: Optimization correctly signaled to scan.") - # Simulate scan completion - activity.last_segment_scan_timestamp = datetime.datetime.now(datetime.timezone.utc) - db.commit() - - # 4. Refresh & Check Pass 2 - db.refresh(activity) - last_scan = activity.last_segment_scan_timestamp - print(f"Activity Last Scan: {last_scan}") - - if last_scan and max_seg_date and last_scan >= max_seg_date: - print("PASS 2: Optimization CORRECTLY skipped.") - else: - print(f"PASS 2: Optimization FAILED to skip. last_scan={last_scan} max_seg={max_seg_date}") - - # 5. 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test_discovery_endpoint(): assert isinstance(data["debug_paths"], list) -def test_discovery_page_render(): +def test_discovery_page_render(client): response = client.get("/discovery") assert response.status_code == 200 assert "Segment Discovery" in response.text diff --git a/FitnessSync/backend/tests/api/test_single_discovery.py b/FitnessSync/backend/tests/api/test_single_discovery.py index 2e0682d..133bddd 100644 --- a/FitnessSync/backend/tests/api/test_single_discovery.py +++ b/FitnessSync/backend/tests/api/test_single_discovery.py @@ -2,9 +2,8 @@ from fastapi.testclient import TestClient from main import app from unittest.mock import MagicMock, patch -client = TestClient(app) -def test_single_discovery_endpoint(): +def test_single_discovery_endpoint(client): # Mock the service with patch('src.api.discovery.SegmentDiscoveryService') as MockService: instance = MockService.return_value @@ -29,7 +28,7 @@ def test_single_discovery_endpoint(): assert data["candidates"][0]["frequency"] == 1 assert data["candidates"][0]["distance"] == 1000.0 -def test_single_discovery_not_found(): +def test_single_discovery_not_found(client): with patch('src.api.discovery.SegmentDiscoveryService') as MockService: instance = MockService.return_value instance.analyze_single_activity.return_value = [] diff --git a/FitnessSync/backend/tests/conftest.py b/FitnessSync/backend/tests/conftest.py index b374678..92a8ddb 100644 --- a/FitnessSync/backend/tests/conftest.py +++ b/FitnessSync/backend/tests/conftest.py @@ -2,13 +2,16 @@ import sys import os import pytest from starlette.testclient import TestClient -from sqlalchemy import create_engine +from sqlalchemy import create_engine, text from sqlalchemy.orm import sessionmaker +from testcontainers.postgres import PostgresContainer +import time -sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) # Add backend root +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) # Add backend root to START of path +os.environ["TESTING"] = "1" from main import app -from src.models.base import Base # Explicitly import Base from its definition +from src.models.base import Base # Import all models to ensure Base.metadata.create_all is aware of them from src.models.api_token import APIToken from src.models.activity import Activity @@ -16,40 +19,62 @@ from src.models.auth_status import AuthStatus from src.models.config import Configuration from src.models.health_metric import HealthMetric from src.models.sync_log import SyncLog -from src.models.weight_record import WeightRecord # Ensure all models are imported -from src.api.status import get_db # Import get_db from an API file -import os - -# Use an in-memory SQLite database for testing -SQLALCHEMY_DATABASE_URL = "sqlite:///./test.db" - -engine = create_engine( - SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False} -) -TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) - +from src.models.weight_record import WeightRecord +from src.models.stream import ActivityStream +from src.api.status import get_db @pytest.fixture(scope="session") -def db_engine(): - """Create a test database engine.""" - Base.metadata.create_all(bind=engine) # Create tables +def postgres_container(): + """Spin up a Postgres container with PostGIS.""" + print("DEBUG: Starting Postgres Container...") + # Use postgis/postgis image + postgres = PostgresContainer("postgis/postgis:15-3.4") + postgres.start() + print("DEBUG: Postgres Container Started.") + try: + yield postgres + finally: + postgres.stop() + +@pytest.fixture(scope="session") +def db_engine(postgres_container): + """Create a test database engine connected to the container.""" + print("DEBUG: Configuring DB Engine...") + # Ensure usage of psycopg2 driver + db_url = postgres_container.get_connection_url().replace("postgresql://", "postgresql+psycopg2://") + + engine = create_engine(db_url) + + # Enable PostGIS extension + with engine.connect() as conn: + conn.execute(text("CREATE EXTENSION IF NOT EXISTS postgis")) + conn.commit() + + # Create tables + Base.metadata.create_all(bind=engine) + yield engine - Base.metadata.drop_all(bind=engine) # Drop tables after tests + + # Teardown logic + Base.metadata.drop_all(bind=engine) -@pytest.fixture(scope="module") +@pytest.fixture(scope="function") def db_session(db_engine): """Create a test database session.""" + TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=db_engine) connection = db_engine.connect() transaction = connection.begin() session = TestingSessionLocal(bind=connection) + yield session + session.close() transaction.rollback() connection.close() -@pytest.fixture(scope="module") +@pytest.fixture(scope="function") def client(db_session): """Create a FastAPI test client.""" @@ -57,7 +82,7 @@ def client(db_session): try: yield db_session finally: - db_session.close() + pass app.dependency_overrides[get_db] = override_get_db with 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zTabc`97Y#x;R40vXgmPvpTyaaIsx93&W3RKhq7*=pzdSe)1s#d_0FjA1+K7R69Ypj zxFB96sT_PiohRvDGmV}_gcGFnqg{IateVQGfj-O9XUkbwqxd^_)469-_b#~Ni44=p3^KnDs^C1EXin>S-MFsB$)) zyr29XWFa4$9S68n<#M@xDhQtwUa9}7u=PD*+j~OyPXy^FLfv~p?@xt+e-&Ea6GHC^ z8$a*}Ztvxn3a++)a(OPlTyV87xm#UZZ|+|b;HJf&xr6sRRf4+%LHm*j(GSAQ3w60h zv{Pr61iYWm+`+rO6huEb + + + 2018-01-01T00:00:00Z + + + + + + 45.0 + -33.0 + + + + + + 45.01 + -33.01 + + + + + + + + """ + + act = Activity( + id=act_id, + garmin_activity_id=str(act_id), + activity_name="Test Run", + activity_type="running", # Correct Type in DB + file_content=dummy_tcx.encode('utf-8'), + file_type="tcx" + ) + db_session.add(act) + db_session.commit() + + # 2. Call Create Segment Endpoint + payload = { + "activity_id": act_id, + "name": "Test Segment", + "start_index": 0, + "end_index": 1, + "activity_type": "cycling" # Simulate Frontend forcing 'cycling' + } + + response = client.post("/api/segments/create", json=payload) + assert response.status_code == 200, f"Response: {response.text}" + + data = response.json() + seg_id = data['id'] + from src.models.segment import Segment + segment = db_session.query(Segment).filter(Segment.id == seg_id).first() + + print(f"Created Segment Type: {segment.activity_type}") + + # Assert it is running + assert segment.activity_type == 'running' diff --git a/FitnessSync/backend/tests/integration/test_segment_optimization.py b/FitnessSync/backend/tests/integration/test_segment_optimization.py new file mode 100644 index 0000000..b250c18 --- /dev/null +++ b/FitnessSync/backend/tests/integration/test_segment_optimization.py @@ -0,0 +1,42 @@ + +import pytest +from unittest.mock import MagicMock +from sqlalchemy import func +from datetime import datetime, timezone +from src.models.activity import Activity +from src.models.segment import Segment + +@pytest.fixture +def mock_db_session(): + return MagicMock() + +def test_optimization_logic(mock_db_session): + # Setup test data object + activity = MagicMock(spec=Activity) + activity.id = 256 + activity.last_segment_scan_timestamp = None + + # 1. Reset + # Logic in original script: manually reset timestamp. + # Here we test the optimization logic steps. + + # Scene 1: last_scan is None. Logic should PROCEED. + last_scan = activity.last_segment_scan_timestamp + assert last_scan is None + # If the logic in Job Manager checks `if last_scan >= max_seg_date`, it returns False (Don't skip). + + # Scene 2: last_scan exists and new Segments exist. + max_seg_date_mock = datetime(2023, 1, 2, 12, 0, 0, tzinfo=timezone.utc) + mock_db_session.query.return_value.scalar.return_value = max_seg_date_mock + + # Set activity last scan to OLDER + activity.last_segment_scan_timestamp = datetime(2023, 1, 1, 12, 0, 0, tzinfo=timezone.utc) + + # Check Logic + should_skip = (activity.last_segment_scan_timestamp >= max_seg_date_mock) + assert should_skip is False + + # Scene 3: last_scan is NEWER + activity.last_segment_scan_timestamp = datetime(2023, 1, 3, 12, 0, 0, tzinfo=timezone.utc) + should_skip = (activity.last_segment_scan_timestamp >= max_seg_date_mock) + assert should_skip is True diff --git a/FitnessSync/backend/tests/integration/test_ui_rendering.py b/FitnessSync/backend/tests/integration/test_ui_rendering.py new file mode 100644 index 0000000..4e5af21 --- /dev/null +++ b/FitnessSync/backend/tests/integration/test_ui_rendering.py @@ -0,0 +1,74 @@ + +from fastapi.testclient import TestClient +from main import app +import pytest + +def test_activity_view_render(client): + """ + Test that the activity view page renders the HTML shell correctly + and contains the necessary container elements for JS to populate. + """ + # Requires an activity ID path parameter, but doesn't validate it in the route handler + response = client.get("/activity/12345") + + assert response.status_code == 200 + html = response.text + + # Verify Title/Header placeholders + assert 'id="act-name"' in html + assert 'id="act-time"' in html + + # Verify Map Container + assert 'id="map"' in html + + # Verify Chart Container + assert 'id="streams-chart"' in html + + # Verify Stats Grid + assert 'class="stats-grid"' in html + assert 'id="metric-dist"' in html + assert 'id="metric-dur"' in html + + # Verify Metrics Section + assert 'class="metrics-section"' in html + assert 'id="m-avg-pwr"' in html + +def test_segment_view_render(client): + """ + Test that the segments page renders correctly with the segments table + and hidden modals for viewing and comparing segments. + """ + response = client.get("/segments") + + assert response.status_code == 200 + html = response.text + + # Verify Page Title + assert "Segments" in html + + # Verify Segments Table + assert 'id="segments-table"' in html + + # Verify Create Modal Trigger + assert 'data-bs-target="#createSegmentModal"' in html + +def test_comparison_modals_render(client): + """ + Test that the Segment Comparison and Details modals are present in the DOM + of the segments page. + """ + response = client.get("/segments") + assert response.status_code == 200 + html = response.text + + # Verify View Modal & Attributes + assert 'id="viewSegmentModal"' in html + assert 'id="seg-map"' in html + assert 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z8!ac>#JZQJrai#PE5`u|TD>@Ha#Qb@Xe6r^9udm|U?;N{MS>e~TWDb;P7?`&SyDp_ z<=3lC#$aso=V&sFJPIvbjc{TEg8j5#Y|Jd`Cdt1w=75?ct+ATu+vpqdBN&)@KyzCr zKe7;mZA{MdW_nw0$Y~+nCS8k{;-?^qJWHt34BdX?863 zQA`7#@wsFS0F7pg4T6Iu;+RqpV?#J$^82ti$a_eBfaDL5{1D0eNd6GX9{~w@DKt?% z5_-&QFa<5TwwQHI_#-UnK=LO@sOtPvjD3Uz)%qB9%UZ+rbFu;e*Ck zid=1hYgf4T&$uV37g{K!`i!r52!e2RYgGI0C#<;#z_&PIBF&Rz4!+?rv%oQ3%cBrp z^=ehr0DjVmqYmTIL;KuKKl+taO#5^-3?Be#U#T`a?h}Gq zRozxnrg>b3_3sjSWT;05>h3Ft4XZi5uuz+AB_&&opj%~0MS5CEWo8Hp9CfR$qR}LE zMwh5TTy3(I>kU))VN!#&E2gy%cCAklwL{EFD5UO~)Te=3lj)&?iYS7MyUb{AwJq3; z?+859TuM4dega9{_VO1%?zvf(g~%JsZv?(zIuxek3ufO>8U7Bl>mQlW9p>O2X5SsA z>khN`4s#ficiDG=@5S7YY8*mJC2fYGn2 zJnX@*YI@kVuhMJ_L config + # query(APIToken).filter_by().first() -> None (to trigger creation) + + def query_side_effect(model): + m = MagicMock() + if model == Configuration: + m.first.return_value = mock_config + elif model == APIToken: + m.filter_by.return_value.first.return_value = None + return m + + mock_db_session.query.side_effect = query_side_effect - # Mock FitbitClient instance and method - mock_instance = MagicMock() - mock_fitbit_cls.return_value = mock_instance - mock_instance.exchange_code_for_token.return_value = { - "access_token": "new_at", - "refresh_token": "new_rt", - "expires_at": 3600, # seconds - "user_id": "uid", - "scope": ["weight"] - } + with patch("src.api.auth.FitbitClient") as MockFitbitClient: + instance = MockFitbitClient.return_value + instance.exchange_code_for_token.return_value = { + "access_token": "new_at", + "refresh_token": "new_rt", + "expires_in": 3600, + "user_id": "uid", + "scope": ["weight"] + } - payload = {"code": "auth_code_123"} - response = client.post("/api/setup/fitbit/callback", json=payload) + payload = {"code": "auth_code_123"} + response = client.post("/api/setup/fitbit/callback", json=payload) - assert response.status_code == 200 - assert response.json()["status"] == "success" + assert response.status_code == 200 + assert response.json()["status"] == "success" - # Verify Token saved - token = db.query(APIToken).filter_by(token_type="fitbit").first() - assert token is not None - assert token.access_token == "new_at" - assert token.refresh_token == "new_rt" + # Verify Token saved + assert mock_db_session.add.called # APIToken added + assert mock_db_session.commit.called -@patch("src.api.setup.FitbitClient") -def test_fitbit_callback_no_config(mock_fitbit_cls, client, db): +def test_fitbit_callback_no_config(client, mock_db_session): """Test callback fails if no config exists.""" + # Mock DB returns None for config + def query_side_effect(model): + m = MagicMock() + if model == Configuration: + m.first.return_value = None # No config + return m + mock_db_session.query.side_effect = query_side_effect + payload = {"code": "auth_code_123"} response = client.post("/api/setup/fitbit/callback", json=payload) assert response.status_code == 400 - assert "Configuration not found" in response.json()["detail"] + assert "Configuration missing" in response.json()["detail"] + diff --git a/FitnessSync/backend/tests/unit/test_mfa_flow.py b/FitnessSync/backend/tests/unit/test_mfa_flow.py index 2173c95..42e7cc0 100644 --- a/FitnessSync/backend/tests/unit/test_mfa_flow.py +++ b/FitnessSync/backend/tests/unit/test_mfa_flow.py @@ -37,12 +37,22 @@ def test_login_mfa_flow_success_structure(): mock_db = MagicMock(spec=Session) with patch('src.services.garmin.auth.garth') as mock_garth: - mock_garth.login.side_effect = GarthException("Error: needs-mfa") - # Setup expected structure mock_client_instance = MagicMock() mock_client_instance._session.cookies.get_dict.return_value = {"cookie": "yum"} + # Link sess property to _session to match garth.Client behavior or ensure attribute exists + mock_client_instance.sess = mock_client_instance._session mock_client_instance.domain = "garmin.com" + mock_client_instance.last_resp.text = "success" + mock_client_instance.last_resp.url = "http://garmin.com" + + # Mock tuple return for success flow + mock_garth.login.return_value = ("needs_mfa", { + "signin_params": {"csrf": "token"}, + "mfa": "state", + "client": mock_client_instance + }) + mock_garth.login.side_effect = None mock_garth.client.mfa_state = { "signin_params": {"csrf": "token"}, diff --git a/FitnessSync/backend/tests/unit/test_parsers.py b/FitnessSync/backend/tests/unit/test_parsers.py new file mode 100644 index 0000000..e2279e5 --- /dev/null +++ b/FitnessSync/backend/tests/unit/test_parsers.py @@ -0,0 +1,142 @@ + +import pytest +from datetime import datetime, timedelta +import io +import fitdecode +import struct +from src.services.parsers import extract_streams, extract_activity_data, extract_summary +from src.utils.sampling import downsample_streams + +# Mock FIT file creation (simplified) +def create_mock_fit_content(points=100, has_gps=True): + # This is hard to mock binary FIT correctly without using the library to Write. + # But fitdecode is a reader. + # Alternatively, we can mock the functions wrapping fitdecode? + # Or just use a very simple known FIT structure if possible? + # Writing a valid FIT file in a test without a library is hard. + # + # Better approach for UNIT testing parsers: + # 1. Mock the fitdecode.FitReader to return frames we want. + # 2. Test `extract_streams` logic given those frames. + pass + +class MockFrame: + def __init__(self, name, values): + self.frame_type = fitdecode.FIT_FRAME_DATA + self.name = name + self.values = values + + def has_field(self, name): + return name in self.values + + def get_value(self, name): + return self.values.get(name) + +@pytest.fixture +def mock_fit_reader(monkeypatch): + def mock_reader(file_obj): + return MockFitReaderContext() + + monkeypatch.setattr(fitdecode, 'FitReader', mock_reader) + +class MockFitReaderContext: + def __init__(self): + self.frames = [] + + def __enter__(self): + return self.frames + + def __exit__(self, exc_type, exc_val, exc_tb): + pass + + def add_record(self, ts, lat=None, lon=None, hr=None, pwr=None, alt=None): + vals = {'timestamp': ts} + if lat is not None: vals['position_lat'] = int(lat / (180.0 / 2**31)) + if lon is not None: vals['position_long'] = int(lon / (180.0 / 2**31)) + if hr is not None: vals['heart_rate'] = hr + if pwr is not None: vals['power'] = pwr + if alt is not None: vals['enhanced_altitude'] = alt + self.frames.append(MockFrame('record', vals)) + +def test_extract_activity_data_no_gps(monkeypatch): + # Test that we can extract data even if GPS is missing (Fix for the Bug) + + frames_iter = [] + + class MockIter: + def __enter__(self): return self + def __exit__(self, *args): pass + def __iter__(self): return iter(frames_iter) + + monkeypatch.setattr(fitdecode, 'FitReader', lambda f: MockIter()) + + # Add records without GPS + base_time = datetime(2023, 1, 1, 12, 0, 0) + for i in range(10): + vals = { + 'timestamp': base_time + timedelta(seconds=i), + 'heart_rate': 100 + i, + 'power': 200 + i + } + frames_iter.append(MockFrame('record', vals)) + + data = extract_activity_data(b'dummy', 'fit', strict_gps=False) + + assert len(data['timestamps']) == 10 + assert len(data['heart_rate']) == 10 + assert data['heart_rate'][0] == 100 + assert data['points'][0] is None # No GPS + +def test_extract_streams_logic(monkeypatch): + frames_iter = [] + class MockIter: + def __enter__(self): return self + def __exit__(self, *args): pass + def __iter__(self): return iter(frames_iter) + monkeypatch.setattr(fitdecode, 'FitReader', lambda f: MockIter()) + + base_time = datetime(2023, 1, 1, 12, 0, 0) + # 5 points with GPS, 5 without + for i in range(5): + vals = { + 'timestamp': base_time + timedelta(seconds=i), + 'position_lat': int(10 * (2**31 / 180.0)), + 'position_long': int(20 * (2**31 / 180.0)), + 'enhanced_altitude': 100 + i, + 'heart_rate': 140 + } + frames_iter.append(MockFrame('record', vals)) + + for i in range(5, 10): + vals = { + 'timestamp': base_time + timedelta(seconds=i), + 'heart_rate': 150 + # No GPS + } + frames_iter.append(MockFrame('record', vals)) + + streams = extract_streams(b'dummy', 'fit') + + assert len(streams['time']) == 10 + assert streams['altitude'][0] == 100 + assert streams['altitude'][9] is None + assert streams['heart_rate'][9] == 150 + +def test_extract_summary(monkeypatch): + frames_iter = [] + class MockIter: + def __enter__(self): return self + def __exit__(self, *args): pass + def __iter__(self): return iter(frames_iter) + monkeypatch.setattr(fitdecode, 'FitReader', lambda f: MockIter()) + + vals = { + 'total_distance': 1000.0, + 'total_timer_time': 3600.0, + 'avg_heart_rate': 145 + } + frames_iter.append(MockFrame('session', vals)) + + summary = extract_summary(b'dummy', 'fit') + assert summary['total_distance'] == 1000.0 + assert summary['avg_heart_rate'] == 145 diff --git a/FitnessSync/backend/tests/test_segments_verification.py b/FitnessSync/backend/tests/unit/test_segment_matcher.py similarity index 72% rename from FitnessSync/backend/tests/test_segments_verification.py rename to FitnessSync/backend/tests/unit/test_segment_matcher.py index 3684aec..aa70f69 100644 --- a/FitnessSync/backend/tests/test_segments_verification.py +++ b/FitnessSync/backend/tests/unit/test_segment_matcher.py @@ -39,18 +39,16 @@ def test_rdp_peak(): def test_bounds(): points = [[0,0], [10, 10], [-5, 5]] bounds = calculate_bounds(points) - assert bounds['min_lat'] == 0 # wait, index 1 is lat? check utils - # If points are [lon, lat] - # 0,0: lat=0 - # 10,10: lat=10 - # -5,5: lat=5 - # bounds are min_lat=0, max_lat=10. min_lon=-5, max_lon=10 + # bounds is [min_lat, min_lon, max_lat, max_lon] + # points are [lon, lat]. + # 0,0 -> lat=0, lon=0 + # 10,10 -> lat=10, lon=10 + # -5,5 -> lat=5, lon=-5 - # My calculate_bounds implementation assumes [lon, lat] - assert bounds['min_lat'] == 0 - assert bounds['max_lat'] == 10 - assert bounds['min_lon'] == -5 - assert bounds['max_lon'] == 10 + assert bounds[0] == 0 # min_lat (0) + assert bounds[2] == 10 # max_lat (10) + assert bounds[1] == -5 # min_lon (-5) + assert bounds[3] == 10 # max_lon (10) def test_matcher_logic(): # Mock DB session @@ -67,7 +65,7 @@ def test_matcher_logic(): activity_type='cycling' ) - mock_session.query.return_value.filter.return_value.all.return_value = [segment] + mock_session.query.return_value.filter.return_value.filter.return_value.all.return_value = [segment] matcher = SegmentMatcher(mock_session) @@ -77,7 +75,7 @@ def test_matcher_logic(): act_points = [[0,0], [0, 0.005], [0, 0.01]] # Mock activity - activity = Activity(id=100, activity_start_time=datetime.now()) + activity = Activity(id=100, start_time=datetime.now()) # Matcher needs to use parsers internally? Or uses slice of points? # Matcher logic (_match_segment) uses points list passed to match_activity @@ -85,12 +83,23 @@ def test_matcher_logic(): # We need to mock extract_timestamps_from_file or patch it from unittest.mock import patch - with patch('src.services.segment_matcher.extract_timestamps_from_file') as mock_extract: + # Patch the parser where it is IMPORTED/USED in the SegmentMatcher service (or source) + # _create_effort imports extract_activity_data from ..services.parsers + with patch('src.services.parsers.extract_activity_data') as mock_extract: # 0,0@T0, 0,0.005@T50, 0,0.01@T100 start_time = datetime.now() timestamps = [start_time, start_time + timedelta(seconds=50), start_time + timedelta(seconds=100)] - mock_extract.return_value = timestamps + # extract_activity_data returns dict + mock_extract.return_value = { + 'timestamps': timestamps, + 'heart_rate': [100, 110, 120], + 'power': [200, 210, 220], + 'cadence': [80, 80, 80], + 'speed': [10, 10, 10], + 'respiration_rate': [20, 20, 20] + } + # Add dummy content activity.file_content = b'dummy' activity.file_type = 'fit' @@ -104,12 +113,4 @@ def test_matcher_logic(): assert effort.elapsed_time == 100.0 -if __name__ == "__main__": - # verification - try: - test_haversine() - test_rdp_simple() - test_bounds() - print("Geo Utils Passed") - except Exception as e: - print(f"Failed: {e}") + diff --git a/FitnessSync/test.db b/FitnessSync/test.db deleted file mode 100644 index bd090991308922b86a7e49bf18bad571706d0ad9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 69632 zcmeIuu}Z^G7>41Km}-q_jC+S%fVg-AZe3i&UO*ibGKeUhyl3yhFVLtg z6L_AV9;f~5`1bMj{<0tM%TTJSJd9&0WlA@PhQoW4d0f@;;l!NE-S_8eK9C#wZNKf- z-MZbiyXEb?7eDiEhGwWY_2$GqJ`o^5fB*pk1PBlyK!5-N0t5&UAV7cs0RjXF5FkK+ z009C72oNAZfB*pk1PBlyK!5-N0t5&UAV7cs0RjXF5FkK+009C72oNAZfB*pk1PBly zK!5-N0t5&UAV7cs0RjXF5FkK+009C72oNAZfB*pk1PBlyK!5-N0t5&UAV7cs0RjXF z5FkK+009C72oNAZfB*pk1PBlyK!5-N0t5&UAV7cs0RjXF5FkK+009C72oNAZfB*pk z1PBlyK!5-N0t5&UAV7cs0RjXF5FkK+009C72oNAZfB*pk1PBlyK!5-N0t5&UAV7cs z0RjXF5FkK+009C72oNAZfB*pk1PBlyK!5-N0t5&UAV7cs0RjXF5FkK+z~2a5=Ql%| sXP;K7OIN8)muZCY_}^Sp*0WAV7cs0RjXF5FkK+z&{rF1s?nl6951J