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Fix SDK field names - use camelCase throughout
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This commit is contained in:
Owain Jarrett
2026-06-06 19:27:35 +01:00
parent f609931ebc
commit 0fd3ff7414
3 changed files with 297 additions and 241 deletions
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backend/app/services/fit_parser.py
+32 -30
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@@ -1,5 +1,6 @@
"""
FIT and GPX file parser using the official Garmin FIT Python SDK.
Field names from the SDK are camelCase as per the SDK documentation.
"""
import math
from datetime import datetime, timezone
@@ -59,6 +60,7 @@ def parse_fit_file(filepath: str) -> dict:
merge_heart_rates=True,
)
# SDK returns camelCase keys
sessions = messages.get("session", [{}])
session = sessions[0] if sessions else {}
records = messages.get("record", [])
@@ -73,12 +75,12 @@ def parse_fit_file(filepath: str) -> dict:
}
sport_type = sport_map.get(sport, sport)
start_time = _ensure_utc(session.get("start_time"))
start_time = _ensure_utc(session.get("startTime"))
coords = []
for r in records:
lat = r.get("position_lat")
lon = r.get("position_long")
lat = r.get("positionLat")
lon = r.get("positionLong")
if lat is not None and lon is not None:
if -90 <= lat <= 90 and -180 <= lon <= 180:
coords.append((lat, lon))
@@ -89,8 +91,8 @@ def parse_fit_file(filepath: str) -> dict:
normalized_points = []
for r in records:
ts = _ensure_utc(r.get("timestamp"))
lat = r.get("position_lat")
lon = r.get("position_long")
lat = r.get("positionLat")
lon = r.get("positionLong")
if lat is not None and not (-90 <= lat <= 90):
lat = None
@@ -101,10 +103,10 @@ def parse_fit_file(filepath: str) -> dict:
"timestamp": ts.isoformat() if ts else None,
"latitude": _safe_float(lat),
"longitude": _safe_float(lon),
"altitude_m": _safe_float(r.get("altitude") or r.get("enhanced_altitude")),
"heart_rate": _safe_float(r.get("heart_rate")),
"altitude_m": _safe_float(r.get("altitude") or r.get("enhancedAltitude")),
"heart_rate": _safe_float(r.get("heartRate")),
"cadence": _safe_float(r.get("cadence")),
"speed_ms": _safe_float(r.get("speed") or r.get("enhanced_speed")),
"speed_ms": _safe_float(r.get("speed") or r.get("enhancedSpeed")),
"power": _safe_float(r.get("power")),
"temperature_c": _safe_float(r.get("temperature")),
"distance_m": _safe_float(r.get("distance")),
@@ -112,16 +114,16 @@ def parse_fit_file(filepath: str) -> dict:
normalized_laps = []
for i, lap in enumerate(laps):
ls = _ensure_utc(lap.get("start_time"))
ls = _ensure_utc(lap.get("startTime"))
normalized_laps.append({
"lap_number": i + 1,
"start_time": ls.isoformat() if ls else None,
"duration_s": _safe_float(lap.get("total_elapsed_time")),
"distance_m": _safe_float(lap.get("total_distance")),
"avg_heart_rate": _safe_float(lap.get("avg_heart_rate")),
"avg_cadence": _safe_float(lap.get("avg_cadence")),
"avg_speed_ms": _safe_float(lap.get("avg_speed") or lap.get("enhanced_avg_speed")),
"avg_power": _safe_float(lap.get("avg_power")),
"duration_s": _safe_float(lap.get("totalElapsedTime")),
"distance_m": _safe_float(lap.get("totalDistance")),
"avg_heart_rate": _safe_float(lap.get("avgHeartRate")),
"avg_cadence": _safe_float(lap.get("avgCadence")),
"avg_speed_ms": _safe_float(lap.get("avgSpeed") or lap.get("enhancedAvgSpeed")),
"avg_power": _safe_float(lap.get("avgPower")),
})
name = sport_type.title()
@@ -132,21 +134,21 @@ def parse_fit_file(filepath: str) -> dict:
"name": name,
"sport_type": sport_type,
"start_time": start_time.isoformat() if start_time else None,
"distance_m": _safe_float(session.get("total_distance")),
"duration_s": _safe_float(session.get("total_elapsed_time")),
"elevation_gain_m": _safe_float(session.get("total_ascent")),
"elevation_loss_m": _safe_float(session.get("total_descent")),
"avg_heart_rate": _safe_float(session.get("avg_heart_rate")),
"max_heart_rate": _safe_float(session.get("max_heart_rate")),
"avg_cadence": _safe_float(session.get("avg_cadence")),
"avg_power": _safe_float(session.get("avg_power")),
"normalized_power": _safe_float(session.get("normalized_power")),
"avg_speed_ms": _safe_float(session.get("avg_speed") or session.get("enhanced_avg_speed")),
"max_speed_ms": _safe_float(session.get("max_speed") or session.get("enhanced_max_speed")),
"avg_temperature_c": _safe_float(session.get("avg_temperature")),
"calories": _safe_float(session.get("total_calories")),
"training_stress_score": _safe_float(session.get("training_stress_score")),
"vo2max_estimate": _safe_float(session.get("total_training_effect")),
"distance_m": _safe_float(session.get("totalDistance")),
"duration_s": _safe_float(session.get("totalElapsedTime")),
"elevation_gain_m": _safe_float(session.get("totalAscent")),
"elevation_loss_m": _safe_float(session.get("totalDescent")),
"avg_heart_rate": _safe_float(session.get("avgHeartRate")),
"max_heart_rate": _safe_float(session.get("maxHeartRate")),
"avg_cadence": _safe_float(session.get("avgCadence")),
"avg_power": _safe_float(session.get("avgPower")),
"normalized_power": _safe_float(session.get("normalizedPower")),
"avg_speed_ms": _safe_float(session.get("avgSpeed") or session.get("enhancedAvgSpeed")),
"max_speed_ms": _safe_float(session.get("maxSpeed") or session.get("enhancedMaxSpeed")),
"avg_temperature_c": _safe_float(session.get("avgTemperature")),
"calories": _safe_float(session.get("totalCalories")),
"training_stress_score": _safe_float(session.get("trainingStressScore")),
"vo2max_estimate": _safe_float(session.get("totalTrainingEffect")),
"polyline": encoded_polyline,
"bounding_box": bounding_box,
"source_type": "fit",