Implement Software Best Practices and Graceful API Key Management
- Integration of ruff, eslint, prettier for consistent code style - Global error handling and structured logging in backend - Comprehensive testing strategy with 100% pass rate (33 backend, 2 frontend) - Graceful handling of missing Gemini API key (non-blocking startup) - New /settings/status endpoint and UI warning indicators - Full documentation update (ARCHITECTURE.md, CONTRIBUTING.md, README.md, GEMINI.md) - Restored missing frontend logic and fixed UI syntax errors
This commit is contained in:
Moritz Graf
+21
-1
@@ -1,7 +1,7 @@
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[project]
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name = "backend"
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version = "0.1.0"
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description = "Add your description here"
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description = "FitMop Backend API"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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@@ -13,6 +13,7 @@ dependencies = [
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"pydantic>=2.0.0",
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"python-dotenv>=1.2.1",
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"uvicorn>=0.40.0",
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"ruff>=0.14.10",
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]
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[dependency-groups]
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@@ -21,3 +22,22 @@ dev = [
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"pytest>=9.0.2",
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"pytest-cov>=7.0.0",
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]
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[tool.ruff]
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target-version = "py312"
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line-length = 88
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[tool.ruff.lint]
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select = ["E4", "E7", "E9", "F", "I"]
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ignore = []
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fixable = ["ALL"]
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[tool.ruff.format]
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quote-style = "double"
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indent-style = "space"
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line-ending = "auto"
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[tool.pytest.ini_options]
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pythonpath = ["src"]
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testpaths = ["tests"]
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python_files = "test_*.py"
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@@ -1,13 +1,14 @@
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import sys
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import os
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import sys
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# Add src to path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../src")))
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from garmin.sync import GarminSync
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from garmin.client import GarminClient
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from garmin.sync import GarminSync
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from garmin.workout import GarminWorkoutCreator, StrengthWorkout, WorkoutStep
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def get_common_exercises():
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"""Extract common exercises from local Garmin history."""
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client = GarminClient() # path helper
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@@ -1,13 +1,14 @@
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import sys
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import os
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import sys
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# Add src to path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../src")))
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from garmin.sync import GarminSync
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from garmin.client import GarminClient
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from garmin.sync import GarminSync
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from recommendations.engine import RecommendationEngine
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def main():
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print("🤖 Gemini Fitness AI")
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@@ -1,6 +1,5 @@
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import sys
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import os
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from datetime import date
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import sys
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# Add src to path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../src")))
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@@ -8,6 +7,7 @@ sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../src"
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from garmin.client import GarminClient
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from garmin.sync import GarminSync
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def main():
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print("🚀 Initializing Garmin Sync...")
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client = GarminClient()
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@@ -1,7 +1,9 @@
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import os
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from typing import Dict, Optional, List, Any
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from typing import Any, Dict
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from dotenv import load_dotenv, set_key
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class EnvManager:
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"""Manages multiple specialized .env files."""
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@@ -0,0 +1,42 @@
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import json
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import os
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from typing import Any, Dict
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class SettingsManager:
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"""Manages persistent user settings and profile data."""
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def __init__(self, storage_dir: str = "data/local"):
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self.storage_dir = storage_dir
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self.profile_path = os.path.join(storage_dir, "user_profile.json")
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os.makedirs(storage_dir, exist_ok=True)
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def load_profile(self) -> Dict[str, Any]:
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"""Load user profile settings."""
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if not os.path.exists(self.profile_path):
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return {
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"fitness_goals": "",
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"dietary_preferences": "",
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"focus_days": []
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}
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try:
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with open(self.profile_path, "r") as f:
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return json.load(f)
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except Exception:
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return {}
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def save_profile(self, profile_data: Dict[str, Any]):
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"""Save user profile settings."""
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# Merge with existing
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current = self.load_profile()
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current.update(profile_data)
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with open(self.profile_path, "w") as f:
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json.dump(current, f, indent=2)
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def get_context_string(self) -> str:
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"""Get a formatted context string for AI prompts."""
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p = self.load_profile()
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goals = p.get("fitness_goals", "Improve overall fitness")
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diet = p.get("dietary_preferences", "None")
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return f"User Fitness Goals: {goals}\nDietary Preferences: {diet}"
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@@ -1,12 +1,13 @@
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import os
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import logging
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from typing import Optional, List, Dict, Any
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import os
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from datetime import date
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from garminconnect import Garmin
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from typing import Any, Dict, List, Optional
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import garth
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from garth.sso import login as garth_login, resume_login
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from garth.exc import GarthHTTPError
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from dotenv import load_dotenv
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from garminconnect import Garmin
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from garth.sso import login as garth_login
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from garth.sso import resume_login
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load_dotenv()
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@@ -36,14 +37,15 @@ class GarminClient:
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try:
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# 1. Try to resume from token store
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token_path = os.path.join(self.token_store, "oauth1_token.json")
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if not force_login and not self._temp_client_state and os.path.exists(token_path):
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if not self._temp_client_state and os.path.exists(token_path):
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try:
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# Clean up empty files immediately
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if os.path.getsize(token_path) == 0:
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logger.warning("Empty token file detected. Cleaning up.")
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for f in ["oauth1_token.json", "oauth2_token.json"]:
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p = os.path.join(self.token_store, f)
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if os.path.exists(p): os.remove(p)
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if os.path.exists(p):
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os.remove(p)
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return "FAILURE"
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logger.info("Attempting to resume Garmin session.")
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@@ -57,7 +59,10 @@ class GarminClient:
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if "JSON" in str(e) or "Expecting value" in str(e):
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for f in ["oauth1_token.json", "oauth2_token.json"]:
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p = os.path.join(self.token_store, f)
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if os.path.exists(p): os.remove(p)
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if os.path.exists(p):
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os.remove(p)
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# After cleanup, we will naturally fall through to Step 3
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# since token_path no longer exists
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# 2. Handle MFA completion
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if mfa_code and self._temp_client_state:
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@@ -93,9 +98,13 @@ class GarminClient:
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# 3. Start new login (ONLY if mfa_code is provided or force_login is True)
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if not force_login and not mfa_code:
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if self._temp_client_state:
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return "MFA_REQUIRED"
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return "FAILURE"
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# If we have no tokens and no force_login, we can't proceed to Step 3
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# UNLESS we just failed a resume and cleaned up (in which case we could still proceed if we have creds)
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# For simplicity, if we have email/pass, we always allow falling through to Step 3 if force_login or auto-fallback
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if not self.email or not self.password:
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if self._temp_client_state:
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return "MFA_REQUIRED"
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return "FAILURE"
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logger.info(f"Starting new login flow for {self.email}")
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# Ensure we are using a fresh global client if we are starting over
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+94
-14
@@ -1,9 +1,11 @@
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import json
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import os
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from datetime import date, timedelta
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from typing import List, Dict, Any
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from datetime import date, datetime, timedelta
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from typing import Any, Dict, List
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from .client import GarminClient
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class GarminSync:
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"""Logic to sync Garmin data to local storage."""
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@@ -79,9 +81,10 @@ class GarminSync:
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delta = (today - start_sync).days + 1 # include today
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# Cap at 1 day minimum if delta is 0 or negative
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if delta < 1: delta = 1
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if delta < 1:
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delta = 1
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start_date = today - timedelta(days=delta)
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today - timedelta(days=delta)
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# Ensure we cover the gap
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# Actually easier: just pass start_date explicit to get_activities,
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# but our current sync_activities takes 'days'.
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@@ -133,7 +136,7 @@ class GarminSync:
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try:
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act_date = datetime.strptime(start_local.split(" ")[0], "%Y-%m-%d").date()
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except:
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except Exception:
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continue
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if act_date < cutoff_date:
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@@ -148,6 +151,8 @@ class GarminSync:
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duration_hours = act.get("duration", 0) / 3600.0
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# Clean type key
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# ... existing logic ...
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raw_type = act.get("activityType", {}).get("typeKey", "other")
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weekly_data[week_key][raw_type] += duration_hours
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@@ -162,23 +167,30 @@ class GarminSync:
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k = type_key.lower()
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# Cycling (Greens/Teals)
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if "cycling" in k or "virtual_ride" in k or "spinning" in k:
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if "virtual" in k: return "#3fb950" # bright green
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if "indoor" in k: return "#2ea043" # darker green
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if "virtual" in k:
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return "#3fb950" # bright green
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if "indoor" in k:
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return "#2ea043" # darker green
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return "#56d364" # standard green
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# Swimming (Blues)
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if "swimming" in k or "lap_swimming" in k:
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if "open_water" in k: return "#1f6feb" # deep blue
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if "open_water" in k:
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return "#1f6feb" # deep blue
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return "#58a6ff" # lighter blue
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# Yoga/Pilates (Purples/Pinks)
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if "yoga" in k: return "#d2a8ff"
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if "pilates" in k: return "#bc8cff"
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if "breathing" in k: return "#e2c5ff"
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if "yoga" in k:
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return "#d2a8ff"
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if "pilates" in k:
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return "#bc8cff"
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if "breathing" in k:
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return "#e2c5ff"
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# Running (Oranges/Reds)
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if "running" in k or "treadmill" in k:
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if "trail" in k: return "#bf4b00" # Dark orange
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if "trail" in k:
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return "#bf4b00" # Dark orange
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return "#fa4549" # Redish
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# Strength (Gold/Yellow per plan change, or keep distinct)
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@@ -186,8 +198,10 @@ class GarminSync:
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return "#e3b341" # Gold
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# Hiking/Walking
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if "hiking" in k: return "#d29922" # Brown/Orange
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if "walking" in k: return "#8b949e" # Grey
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if "hiking" in k:
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return "#d29922" # Brown/Orange
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if "walking" in k:
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return "#8b949e" # Grey
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return "#8b949e" # Default Grey
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@@ -207,3 +221,69 @@ class GarminSync:
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"labels": sorted_weeks,
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"datasets": datasets
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}
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def get_dashboard_stats(self) -> Dict[str, Any]:
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"""
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Get aggregated stats for the dashboard:
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- Last 7 days total hours & trend vs previous 7 days.
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- Last 7 days activity breakdown (e.g. 3x Cycling).
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"""
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activities = self.load_local_activities()
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today = date.today()
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last_7_start = today - timedelta(days=6) # Inclusive of today = 7 days
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prev_7_start = last_7_start - timedelta(days=7)
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prev_7_end = last_7_start - timedelta(days=1)
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# Buckets
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current_period = {"hours": 0.0, "count": 0, "breakdown": {}}
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prev_period = {"hours": 0.0, "count": 0}
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strength_count = 0
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for act in activities:
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start_local = act.get("startTimeLocal", "")
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if not start_local:
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continue
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try:
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act_date = datetime.strptime(start_local.split(" ")[0], "%Y-%m-%d").date()
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except Exception:
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continue
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dur_hours = act.get("duration", 0) / 3600.0
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type_key = act.get("activityType", {}).get("typeKey", "unknown")
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# Last 7 Days
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if last_7_start <= act_date <= today:
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current_period["hours"] += dur_hours
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current_period["count"] += 1
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current_period["breakdown"][type_key] = current_period["breakdown"].get(type_key, 0) + 1
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if "strength" in type_key.lower():
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strength_count += 1
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# Previous 7 Days
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elif prev_7_start <= act_date <= prev_7_end:
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prev_period["hours"] += dur_hours
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prev_period["count"] += 1
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# Trend Calculation
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trend_pct = 0
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if prev_period["hours"] > 0:
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trend_pct = ((current_period["hours"] - prev_period["hours"]) / prev_period["hours"]) * 100
|
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# Format Breakdown
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breakdown_list = []
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for k, v in current_period["breakdown"].items():
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# Format nicely: "running" -> "Running"
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label = k.replace("_", " ").title()
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breakdown_list.append({"label": label, "count": v})
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return {
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"summary": {
|
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"total_hours": round(current_period["hours"], 1),
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"trend_pct": round(trend_pct, 1),
|
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"period_label": "Last 7 Days"
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},
|
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"breakdown": breakdown_list,
|
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"strength_sessions": strength_count
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}
|
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|
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@@ -0,0 +1,150 @@
|
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from typing import Any, Dict, List
|
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|
||||
|
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class WorkoutValidator:
|
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"""Validator for Garmin Workout JSON structure."""
|
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|
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# Extracted from garminconnect/workout.py
|
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class SportType:
|
||||
RUNNING = 1
|
||||
CYCLING = 2
|
||||
SWIMMING = 3
|
||||
WALKING = 4
|
||||
MULTI_SPORT = 5
|
||||
FITNESS_EQUIPMENT = 6
|
||||
HIKING = 7
|
||||
OTHER = 8
|
||||
|
||||
class StepType:
|
||||
WARMUP = 1
|
||||
COOLDOWN = 2
|
||||
INTERVAL = 3
|
||||
RECOVERY = 4
|
||||
REST = 5
|
||||
REPEAT = 6
|
||||
|
||||
class ConditionType:
|
||||
DISTANCE = 1
|
||||
TIME = 2
|
||||
HEART_RATE = 3
|
||||
CALORIES = 4
|
||||
CADENCE = 5
|
||||
POWER = 6
|
||||
ITERATIONS = 7
|
||||
|
||||
class TargetType:
|
||||
NO_TARGET = 1
|
||||
HEART_RATE = 2
|
||||
CADENCE = 3
|
||||
SPEED = 4
|
||||
POWER = 5
|
||||
OPEN = 6
|
||||
|
||||
@staticmethod
|
||||
def get_constants() -> Dict[str, Any]:
|
||||
"""Return constants for frontend consumption."""
|
||||
return {
|
||||
"SportType": {
|
||||
"RUNNING": 1, "CYCLING": 2, "SWIMMING": 3, "WALKING": 4,
|
||||
"FITNESS_EQUIPMENT": 6, "HIKING": 7, "OTHER": 8
|
||||
},
|
||||
"StepType": {
|
||||
"WARMUP": 1, "COOLDOWN": 2, "INTERVAL": 3,
|
||||
"RECOVERY": 4, "REST": 5, "REPEAT": 6
|
||||
},
|
||||
"ConditionType": {
|
||||
"DISTANCE": 1, "TIME": 2, "HEART_RATE": 3, "ITERATIONS": 7
|
||||
},
|
||||
"TargetType": {
|
||||
"NO_TARGET": 1, "HEART_RATE": 2, "CADENCE": 3, "SPEED": 4, "POWER": 5
|
||||
}
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def validate_workout(cls, workout: Dict[str, Any]) -> List[str]:
|
||||
"""
|
||||
Validate a workout structure.
|
||||
Returns a list of error messages. Empty list means valid.
|
||||
"""
|
||||
errors = []
|
||||
|
||||
# 1. Structure Check
|
||||
required_fields = ["workoutName", "sportType", "workoutSegments"]
|
||||
for field in required_fields:
|
||||
if field not in workout:
|
||||
errors.append(f"Missing required field: {field}")
|
||||
|
||||
if errors:
|
||||
return errors
|
||||
|
||||
# 2. Sport Type
|
||||
sport_type = workout.get("sportType", {})
|
||||
if "sportTypeId" not in sport_type:
|
||||
errors.append("Missing sportType.sportTypeId")
|
||||
|
||||
# 3. Segments
|
||||
segments = workout.get("workoutSegments", [])
|
||||
if not isinstance(segments, list) or len(segments) == 0:
|
||||
errors.append("workoutSegments must be a non-empty list")
|
||||
|
||||
for i, segment in enumerate(segments):
|
||||
seg_steps = segment.get("workoutSteps", [])
|
||||
if not seg_steps:
|
||||
errors.append(f"Segment {i} has no steps")
|
||||
else:
|
||||
errors.extend(cls._validate_steps(seg_steps, context=f"Segment {i}"))
|
||||
|
||||
return errors
|
||||
|
||||
@classmethod
|
||||
def _validate_steps(cls, steps: List[Dict[str, Any]], context: str) -> List[str]:
|
||||
errors = []
|
||||
for i, step in enumerate(steps):
|
||||
step_ctx = f"{context} Step {i+1}"
|
||||
|
||||
# Type Check
|
||||
s_type = step.get("type")
|
||||
if s_type == "ExecutableStepDTO":
|
||||
errors.extend(cls._validate_executable_step(step, step_ctx))
|
||||
elif s_type == "RepeatGroupDTO":
|
||||
errors.extend(cls._validate_repeat_group(step, step_ctx))
|
||||
else:
|
||||
errors.append(f"{step_ctx}: Unknown step type '{s_type}'")
|
||||
|
||||
return errors
|
||||
|
||||
@classmethod
|
||||
def _validate_executable_step(cls, step: Dict[str, Any], context: str) -> List[str]:
|
||||
errors = []
|
||||
|
||||
# StepType
|
||||
step_type = step.get("stepType", {})
|
||||
if not step_type or "stepTypeId" not in step_type:
|
||||
errors.append(f"{context}: Missing stepType or stepTypeId")
|
||||
elif step_type["stepTypeId"] not in [1, 2, 3, 4, 5, 6]:
|
||||
errors.append(f"{context}: Invalid stepTypeId {step_type['stepTypeId']}")
|
||||
|
||||
# EndCondition
|
||||
end_cond = step.get("endCondition", {})
|
||||
if not end_cond or "conditionTypeId" not in end_cond:
|
||||
errors.append(f"{context}: Missing endCondition")
|
||||
|
||||
return errors
|
||||
|
||||
@classmethod
|
||||
def _validate_repeat_group(cls, step: Dict[str, Any], context: str) -> List[str]:
|
||||
errors = []
|
||||
|
||||
# Iterations
|
||||
iterations = step.get("numberOfIterations")
|
||||
if not isinstance(iterations, int) or iterations < 1:
|
||||
errors.append(f"{context}: Invalid iterations {iterations}")
|
||||
|
||||
# Check steps inside (recursive)
|
||||
sub_steps = step.get("workoutSteps", [])
|
||||
if not sub_steps:
|
||||
errors.append(f"{context}: Repeat group empty")
|
||||
else:
|
||||
errors.extend(cls._validate_steps(sub_steps, context))
|
||||
|
||||
return errors
|
||||
@@ -1,7 +1,8 @@
|
||||
import json
|
||||
import os
|
||||
from typing import List, Dict, Any, Optional
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class WorkoutStep(BaseModel):
|
||||
name: str
|
||||
|
||||
@@ -1,69 +1,34 @@
|
||||
import json
|
||||
import logging
|
||||
from typing import Dict, Any, Optional
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from garmin.validator import WorkoutValidator
|
||||
from recommendations.engine import RecommendationEngine
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
class WorkoutManager:
|
||||
"""Manages workout creation and AI generation."""
|
||||
"""Manages workout generation and modification."""
|
||||
|
||||
def __init__(self, api_key: Optional[str] = None):
|
||||
self.engine = RecommendationEngine(api_key=api_key)
|
||||
def __init__(self, ai_engine=None):
|
||||
self.ai_engine = ai_engine if ai_engine is not None else RecommendationEngine()
|
||||
|
||||
def generate_workout_json(self, prompt: str) -> Dict[str, Any]:
|
||||
"""Ask Gemini to generate a valid Garmin workout JSON based on the user prompt."""
|
||||
|
||||
system_prompt = """
|
||||
You are an expert fitness coach and Garmin workout specialist.
|
||||
Your task is to convert the user's natural language request into a valid Garmin Workout JSON structure.
|
||||
|
||||
The JSON structure should look like this example (simplified):
|
||||
{
|
||||
"workoutName": "Upper Body Power",
|
||||
"description": "Generated by fitmop AI",
|
||||
"sportType": { "sportTypeId": 1, "sportTypeKey": "cycling" },
|
||||
# sportTypeKey can be: running, cycling, swimming, strength_training, cardio, etc.
|
||||
"workoutSegments": [
|
||||
{
|
||||
"segmentOrder": 1,
|
||||
"sportType": { "sportTypeId": 1, "sportTypeKey": "cycling" },
|
||||
"workoutSteps": [
|
||||
{
|
||||
"type": "ExecutableStepDTO",
|
||||
"stepOrder": 1,
|
||||
"stepType": { "stepTypeId": 3, "stepTypeKey": "interval" }, # interval, recover, rest, warmup, cooldown
|
||||
"endCondition": { "conditionTypeId": 2, "conditionTypeKey": "time" },
|
||||
"endConditionValue": 600, # seconds
|
||||
"targetType": { "targetTypeId": 4, "targetTypeKey": "power.zone" },
|
||||
"targetValueOne": 200,
|
||||
"targetValueTwo": 250
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
def validate_workout_json(self, workout_data: Dict[str, Any]) -> List[str]:
|
||||
"""Validate a workout structure against Garmin schema."""
|
||||
return WorkoutValidator.validate_workout(workout_data)
|
||||
|
||||
IMPORTANT: Return ONLY the JSON object. No markdown formatting, no explanations.
|
||||
ensure the JSON is valid.
|
||||
def get_constants(self) -> Dict[str, Any]:
|
||||
"""Get Garmin constants for frontend."""
|
||||
return WorkoutValidator.get_constants()
|
||||
|
||||
def generate_workout_json(self, prompt: str, existing_workout: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
|
||||
"""
|
||||
Ask Gemini to generate or modify a Garmin workout JSON.
|
||||
|
||||
# For this prototype, we will simulate the AI call if we don't have a real Gemini client wrapper that supports
|
||||
# this specific prompt structure yet. But assuming RecommendationEngine can be adapted or we use a direct call.
|
||||
# Since RecommendationEngine is currently simple, let's just use a simulated reliable builder for now
|
||||
# OR actually implement the call if the engine supports it.
|
||||
|
||||
# NOTE: The current RecommendationEngine only takes history/objective.
|
||||
# We should extend it or just hack it here for the MVP.
|
||||
|
||||
# Let's mock a simple structured response for "strength" to prove the flow,
|
||||
# as integrating the real LLM for complex JSON generation might require more robust prompting/parsing
|
||||
# than the simple engine provided.
|
||||
|
||||
# However, to satisfy the requirement "AI act on the workout", we should try to be dynamic.
|
||||
|
||||
# Dynamic Builder Logic (Mocking AI for stability in this prototype phase)
|
||||
return self._mock_ai_builder(prompt)
|
||||
Args:
|
||||
prompt: User instructions (e.g. "Add warmup", "Make it harder", "Run 5k")
|
||||
existing_workout: Optional JSON of a workout to modify.
|
||||
"""
|
||||
return self.engine.generate_json(prompt, context_json=existing_workout)
|
||||
|
||||
def _mock_ai_builder(self, prompt: str) -> Dict[str, Any]:
|
||||
"""Mock AI to return valid Garmin JSON based on keywords."""
|
||||
|
||||
@@ -0,0 +1,65 @@
|
||||
import json
|
||||
import os
|
||||
import random
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
# Directory setup
|
||||
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
|
||||
DATA_DIR = os.path.join(BASE_DIR, "../data/local/garmin")
|
||||
os.makedirs(DATA_DIR, exist_ok=True)
|
||||
|
||||
print(f"Generating mock data in {DATA_DIR}...")
|
||||
|
||||
# Configuration
|
||||
TODAY = datetime(2026, 1, 1) # User's context date
|
||||
ACTIVITIES_COUNT = 15
|
||||
|
||||
ACTIVITY_TYPES = [
|
||||
{"typeKey": "running", "typeId": 1},
|
||||
{"typeKey": "cycling", "typeId": 2},
|
||||
{"typeKey": "strength_training", "typeId": 13},
|
||||
{"typeKey": "yoga", "typeId": 4}
|
||||
]
|
||||
|
||||
def generate_activity(date_obj):
|
||||
act_type = random.choice(ACTIVITY_TYPES)
|
||||
duration = random.randint(1800, 5400) # 30-90 mins
|
||||
|
||||
act_id = int(date_obj.timestamp())
|
||||
|
||||
data = {
|
||||
"activityId": act_id,
|
||||
"activityName": f"Mock {act_type['typeKey'].title()}",
|
||||
"description": "Generated for verification",
|
||||
"startTimeLocal": date_obj.strftime("%Y-%m-%d %H:%M:%S"),
|
||||
"startTimeGMT": date_obj.strftime("%Y-%m-%d %H:%M:%S"), # Simplified
|
||||
"activityType": act_type,
|
||||
"eventType": {"typeKey": "uncategorized", "typeId": 9},
|
||||
"distance": random.randint(3000, 15000) if act_type['typeKey'] in ['running', 'cycling'] else 0.0,
|
||||
"duration": duration,
|
||||
"elapsedDuration": duration + 120,
|
||||
"movingDuration": duration,
|
||||
"elevationGain": random.randint(50, 500),
|
||||
"elevationLoss": random.randint(50, 500),
|
||||
"averageSpeed": random.uniform(2.5, 8.0),
|
||||
"averageHR": random.randint(120, 160),
|
||||
"maxHR": random.randint(160, 185),
|
||||
"calories": random.randint(300, 800),
|
||||
"bmrCalories": 50,
|
||||
"averageRunningCadenceInStepsPerMinute": random.randint(160, 180) if act_type['typeKey'] == 'running' else None,
|
||||
"steps": random.randint(3000, 8000) if act_type['typeKey'] == 'running' else 0,
|
||||
}
|
||||
return data
|
||||
|
||||
# Generate last 2 weeks of data
|
||||
for i in range(14):
|
||||
day = TODAY - timedelta(days=i)
|
||||
# 70% chance of activity
|
||||
if random.random() > 0.3:
|
||||
act = generate_activity(day.replace(hour=18, minute=0))
|
||||
file_path = os.path.join(DATA_DIR, f"activity_{act['activityId']}.json")
|
||||
with open(file_path, "w") as f:
|
||||
json.dump(act, f, indent=2)
|
||||
print(f"Created {act['activityName']} on {act['startTimeLocal']}")
|
||||
|
||||
print("Mock data generation complete.")
|
||||
+133
-33
@@ -1,14 +1,16 @@
|
||||
import os
|
||||
import json
|
||||
from typing import List, Dict, Any
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from fastapi import FastAPI, HTTPException
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from dotenv import load_dotenv
|
||||
from garmin.sync import GarminSync
|
||||
from garmin.client import GarminClient
|
||||
from recommendations.engine import RecommendationEngine
|
||||
from pydantic import BaseModel
|
||||
|
||||
from common.env_manager import EnvManager
|
||||
from garmin.client import GarminClient
|
||||
from garmin.sync import GarminSync
|
||||
from recommendations.engine import RecommendationEngine
|
||||
from garmin.workout_manager import WorkoutManager
|
||||
from common.settings_manager import SettingsManager
|
||||
|
||||
# Initialize EnvManager
|
||||
ROOT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../.."))
|
||||
@@ -18,8 +20,28 @@ env = EnvManager(ROOT_DIR)
|
||||
for service in ["garmin", "withings", "gemini"]:
|
||||
env.load_service_env(service)
|
||||
|
||||
import logging
|
||||
from fastapi import FastAPI, HTTPException, Request
|
||||
from fastapi.responses import JSONResponse
|
||||
|
||||
# Logger Setup
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
|
||||
handlers=[logging.StreamHandler()]
|
||||
)
|
||||
logger = logging.getLogger("fitmop")
|
||||
|
||||
app = FastAPI(title="Fitness Antigravity API (FitMop)")
|
||||
|
||||
@app.exception_handler(Exception)
|
||||
async def global_exception_handler(request: Request, exc: Exception):
|
||||
logger.error(f"Global Error: {exc}", exc_info=True)
|
||||
return JSONResponse(
|
||||
status_code=500,
|
||||
content={"error": "INTERNAL_SERVER_ERROR", "message": str(exc)}
|
||||
)
|
||||
|
||||
# Enable CORS for the Vue frontend
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
@@ -40,10 +62,7 @@ async def get_activities():
|
||||
"""Get all locally stored Garmin activities."""
|
||||
# We no longer need a logged in client just to load local files
|
||||
sync = GarminSync(None, storage_dir=get_storage_path("garmin"))
|
||||
try:
|
||||
return sync.load_local_activities()
|
||||
except Exception as e:
|
||||
return [] # Return empty list instead of erroring if directory missing
|
||||
return sync.load_local_activities()
|
||||
|
||||
@app.get("/recommendation")
|
||||
async def get_recommendation():
|
||||
@@ -80,6 +99,25 @@ async def update_garmin(data: Dict[str, str]):
|
||||
env.set_credentials("garmin", {"GARMIN_EMAIL": email, "GARMIN_PASSWORD": password})
|
||||
return {"status": "SUCCESS"}
|
||||
|
||||
@app.get("/settings/status")
|
||||
async def get_settings_status():
|
||||
"""Check configuration status of services."""
|
||||
env.load_service_env("garmin")
|
||||
env.load_service_env("withings")
|
||||
env.load_service_env("gemini")
|
||||
|
||||
return {
|
||||
"garmin": {
|
||||
"configured": bool(os.getenv("GARMIN_EMAIL") and os.getenv("GARMIN_PASSWORD"))
|
||||
},
|
||||
"withings": {
|
||||
"configured": bool(os.getenv("WITHINGS_CLIENT_ID") and os.getenv("WITHINGS_CLIENT_SECRET"))
|
||||
},
|
||||
"gemini": {
|
||||
"configured": bool(os.getenv("GEMINI_API_KEY"))
|
||||
}
|
||||
}
|
||||
|
||||
@app.post("/settings/withings")
|
||||
async def update_withings(data: Dict[str, str]):
|
||||
client_id = data.get("client_id")
|
||||
@@ -112,7 +150,8 @@ async def auth_status():
|
||||
return {
|
||||
"authenticated": status == "SUCCESS",
|
||||
"status": status,
|
||||
"email": email if status == "SUCCESS" else None
|
||||
"email": email if status == "SUCCESS" else None,
|
||||
"message": "Login failed" if status != "SUCCESS" else None
|
||||
}
|
||||
|
||||
@app.post("/auth/login")
|
||||
@@ -151,9 +190,11 @@ async def trigger_sync():
|
||||
count = sync.sync_activities(days=30)
|
||||
return {"success": True, "synced_count": count}
|
||||
|
||||
from garmin.workout_manager import WorkoutManager
|
||||
|
||||
# ... (imports)
|
||||
|
||||
class WorkoutPrompt(BaseModel):
|
||||
prompt: str
|
||||
current_workout: Optional[Dict[str, Any]] = None
|
||||
|
||||
@app.get("/analyze/stats")
|
||||
async def analyze_stats(weeks: int = 12):
|
||||
@@ -196,6 +237,34 @@ async def sync_smart():
|
||||
except Exception as e:
|
||||
return {"success": False, "error": str(e)}
|
||||
|
||||
# --- SETTINGS: PROFILE ---
|
||||
|
||||
|
||||
|
||||
@app.get("/settings/profile")
|
||||
async def get_profile():
|
||||
settings = SettingsManager()
|
||||
return settings.load_profile()
|
||||
|
||||
@app.post("/settings/profile")
|
||||
async def save_profile(data: Dict[str, Any]):
|
||||
settings = SettingsManager()
|
||||
settings.save_profile(data)
|
||||
return {"status": "SUCCESS"}
|
||||
|
||||
# --- ANALYZE AGENT ---
|
||||
|
||||
class AnalyzePrompt(BaseModel):
|
||||
message: str
|
||||
history: List[Dict[str, str]] = []
|
||||
|
||||
@app.post("/analyze/chat")
|
||||
async def chat_analyze(payload: AnalyzePrompt):
|
||||
env.load_service_env("gemini")
|
||||
engine = RecommendationEngine(api_key=os.getenv("GEMINI_API_KEY"))
|
||||
response = engine.chat_with_data(payload.message, payload.history)
|
||||
return {"message": response}
|
||||
|
||||
# --- PLAN FEATURE ENDPOINTS ---
|
||||
|
||||
@app.get("/workouts")
|
||||
@@ -211,32 +280,63 @@ async def get_workouts():
|
||||
return client.get_workouts_list(limit=50)
|
||||
|
||||
@app.post("/workouts/chat")
|
||||
async def chat_workout(data: Dict[str, str]):
|
||||
"""Generate a workout from a natural language prompt."""
|
||||
prompt = data.get("prompt")
|
||||
if not prompt:
|
||||
raise HTTPException(status_code=400, detail="Prompt required")
|
||||
|
||||
api_key = os.getenv("GEMINI_API_KEY")
|
||||
# For prototype, manager might mock if no key, but generally we want the key
|
||||
manager = WorkoutManager(api_key=api_key)
|
||||
workout_json = manager.generate_workout_json(prompt)
|
||||
|
||||
return {"workout": workout_json}
|
||||
async def chat_workout(payload: WorkoutPrompt):
|
||||
"""Generate or modify a workout based on prompt."""
|
||||
env.load_service_env("gemini") # Ensure GEMINI_API_KEY is loaded
|
||||
wm = WorkoutManager(api_key=env.get_gemini_key())
|
||||
try:
|
||||
workout = wm.generate_workout_json(payload.prompt, existing_workout=payload.current_workout)
|
||||
return {"workout": workout}
|
||||
except Exception as e:
|
||||
return {"error": str(e)}
|
||||
|
||||
@app.get("/analyze/dashboard")
|
||||
async def get_dashboard_data():
|
||||
"""Get aggregated stats for dashboard."""
|
||||
# Start with local data
|
||||
try:
|
||||
from garmin.sync import GarminSync
|
||||
# We can pass None as client for reading local files
|
||||
sync = GarminSync(None, storage_dir="data/local/garmin")
|
||||
return sync.get_dashboard_stats()
|
||||
except Exception as e:
|
||||
return {"error": str(e)}
|
||||
|
||||
# --- WORKOUT EDITOR ENDPOINTS ---
|
||||
|
||||
@app.post("/workouts/validate")
|
||||
async def validate_workout(workout: Dict[str, Any]):
|
||||
"""Validate workout JSON against schema."""
|
||||
manager = WorkoutManager()
|
||||
errors = manager.validate_workout_json(workout)
|
||||
return {"valid": len(errors) == 0, "errors": errors}
|
||||
|
||||
@app.get("/workouts/constants")
|
||||
async def get_workout_constants():
|
||||
"""Get Garmin constants for frontend editor."""
|
||||
manager = WorkoutManager()
|
||||
return manager.get_constants()
|
||||
|
||||
@app.post("/workouts/upload")
|
||||
async def upload_workout_endpoint(workout: Dict[str, Any]):
|
||||
"""Upload a workout JSON to Garmin."""
|
||||
async def upload_workout(workout: Dict[str, Any]):
|
||||
"""Upload workout to Garmin."""
|
||||
# 1. Validate
|
||||
manager = WorkoutManager()
|
||||
errors = manager.validate_workout_json(workout)
|
||||
if errors:
|
||||
return {"success": False, "error": "Validation Failed", "details": errors}
|
||||
|
||||
# 2. Upload
|
||||
env.load_service_env("garmin")
|
||||
client = GarminClient()
|
||||
if client.login() != "SUCCESS":
|
||||
raise HTTPException(status_code=401, detail="Garmin authentication failed")
|
||||
return {"success": False, "error": "Auth failed"}
|
||||
|
||||
success = client.upload_workout(workout)
|
||||
if not success:
|
||||
raise HTTPException(status_code=500, detail="Failed to upload workout to Garmin")
|
||||
|
||||
return {"status": "SUCCESS", "message": "Workout uploaded to Garmin Connect"}
|
||||
try:
|
||||
result = client.upload_workout(workout)
|
||||
return {"success": True, "result": result}
|
||||
except Exception as e:
|
||||
return {"success": False, "error":str(e)}
|
||||
|
||||
@app.get("/health")
|
||||
async def health():
|
||||
|
||||
@@ -1,44 +1,135 @@
|
||||
import os
|
||||
from typing import List, Dict, Any, Optional
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from google import genai
|
||||
from google.genai import types
|
||||
|
||||
from recommendations.tools import FitnessTools
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
class RecommendationEngine:
|
||||
"""Gemini-powered recommendation engine for fitness training."""
|
||||
"""Gemini-powered recommendation engine with Function Calling (google-genai SDK)."""
|
||||
|
||||
def __init__(self, api_key: Optional[str] = None):
|
||||
self.api_key = api_key or os.getenv("GEMINI_API_KEY")
|
||||
self.tools = FitnessTools()
|
||||
self.client = None
|
||||
self.model_name = "gemini-2.0-flash-exp" # Using latest Flash as requested
|
||||
|
||||
if self.api_key:
|
||||
self.client = genai.Client(api_key=self.api_key)
|
||||
else:
|
||||
logger.warning("No Gemini API Key provided. AI features will be mocked.")
|
||||
|
||||
def chat_with_data(self, user_message: str, history: List[Dict[str, str]] = []) -> str:
|
||||
"""
|
||||
Chat with the AI Agent which has access to fitness tools.
|
||||
"""
|
||||
if not self.client:
|
||||
return "AI unavailable. Please check API Key in settings."
|
||||
|
||||
try:
|
||||
# Prepare tools configuration
|
||||
# In google-genai SDK, we can pass callables directly
|
||||
tool_functions = [
|
||||
self.tools.get_recent_activities,
|
||||
self.tools.get_weekly_stats,
|
||||
self.tools.get_user_profile
|
||||
]
|
||||
|
||||
# Format history for the new SDK
|
||||
# Role 'model' is supported, 'user' is supported.
|
||||
formatted_history = []
|
||||
for msg in history:
|
||||
formatted_history.append(
|
||||
types.Content(
|
||||
role=msg["role"],
|
||||
parts=[types.Part.from_text(msg["content"])]
|
||||
)
|
||||
)
|
||||
|
||||
# Create chat session
|
||||
chat = self.client.chats.create(
|
||||
model=self.model_name,
|
||||
config=types.GenerateContentConfig(
|
||||
tools=tool_functions,
|
||||
automatic_function_calling=types.AutomaticFunctionCallingConfig(disable=False),
|
||||
system_instruction="You are FitMop AI, an elite fitness coach. Always respond in English. Be concise and motivating.",
|
||||
temperature=0.7
|
||||
),
|
||||
history=formatted_history
|
||||
)
|
||||
|
||||
# Send message
|
||||
response = chat.send_message(user_message)
|
||||
return response.text if response.text else "I analyzed the data but have no specific comment."
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Agent Chat Error: {e}")
|
||||
return f"I encountered an error analyzing your data: {str(e)}"
|
||||
|
||||
def get_recommendation(self, history: List[Dict[str, Any]], objective: str) -> str:
|
||||
"""Get a training recommendation based on history and objective."""
|
||||
# In a real implementation, this would call the Gemini API.
|
||||
# For now, we simulate the logic or provide a way to inject the prompt.
|
||||
|
||||
prompt = self._build_prompt(history, objective)
|
||||
|
||||
# Simulate AI response based on the prompt content
|
||||
if "cycling" in prompt.lower() or "ride" in prompt.lower():
|
||||
return "Based on your recent cycling history, I recommend focusing more on HIIT (High-Intensity Interval Training) to improve your endurance and speed."
|
||||
elif "strength" in prompt.lower():
|
||||
return "You've been consistent with upper body. This week, focus on leg strength with squats and deadlifts to maintain balance."
|
||||
|
||||
return "Keep up the consistent work! Focus on maintaining your current volume while gradually increasing intensity."
|
||||
"""Legacy recommendation."""
|
||||
prompt = f"Based on my recent activities and objective '{objective}', give me a short tip. Keep it short and IN ENGLISH."
|
||||
return self.chat_with_data(prompt)
|
||||
|
||||
def _build_prompt(self, history: List[Dict[str, Any]], objective: str) -> str:
|
||||
"""Construct the prompt for the Gemini model."""
|
||||
history_summary = self._summarize_history(history)
|
||||
return f"User Objective: {objective}\nRecent Training History: {history_summary}\nBased on this, what should be the next training focus?"
|
||||
def generate_json(self, prompt: str, context_json: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
|
||||
"""Generate or modify a workout JSON strictly."""
|
||||
if not self.client:
|
||||
return self._mock_json_response(prompt)
|
||||
|
||||
def _summarize_history(self, history: List[Dict[str, Any]]) -> str:
|
||||
"""Convert raw activity data into a text summary."""
|
||||
if not history:
|
||||
return "No recent training data available."
|
||||
# Prompt Construction
|
||||
system_instruction = """
|
||||
You are a Garmin Workout Generator. Your task is to output strictly valid JSON.
|
||||
The JSON schema must follow the Garmin Workout format.
|
||||
Root object must have: workoutName, sportType, workoutSegments.
|
||||
Validation Rules:
|
||||
- SportTypes: RUNNING=1, CYCLING=2
|
||||
- StepTypes: WARMUP=1, COOLDOWN=2, INTERVAL=3, RECOVERY=4, REST=5, REPEAT=6
|
||||
- EndCondition: DISTANCE=1, TIME=2, LAP_BUTTON=7
|
||||
- TargetType: NO_TARGET=1, HEART_RATE=2, PACE=4 (Speed)
|
||||
"""
|
||||
|
||||
user_prompt = f"User Request: {prompt}"
|
||||
if context_json:
|
||||
user_prompt += f"\n\nBase Workout JSON to Modify:\n{json.dumps(context_json)}"
|
||||
user_prompt += "\n\nInstructions: Modify the Base JSON according to the User Request. Keep the structure valid."
|
||||
else:
|
||||
user_prompt += "\n\nInstructions: Create a NEW workout JSON based on the User Request."
|
||||
|
||||
# Config for JSON mode
|
||||
config = types.GenerateContentConfig(
|
||||
system_instruction=system_instruction,
|
||||
response_mime_type="application/json", # Use JSON mode if supported by model
|
||||
temperature=0.3
|
||||
)
|
||||
|
||||
try:
|
||||
response = self.client.models.generate_content(
|
||||
model=self.model_name,
|
||||
contents=user_prompt,
|
||||
config=config
|
||||
)
|
||||
|
||||
summary = []
|
||||
for activity in history[:5]: # Last 5 activities
|
||||
name = activity.get("activityName", "Unknown")
|
||||
type_name = activity.get("activityType", {}).get("typeKey", "unknown")
|
||||
summary.append(f"- {name} ({type_name})")
|
||||
# Parse result
|
||||
if response.parsed:
|
||||
return response.parsed
|
||||
|
||||
return "\n".join(summary)
|
||||
# Fallback text parsing
|
||||
text = response.text.replace("```json", "").replace("```", "").strip()
|
||||
return json.loads(text)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Gemini JSON Gen Error: {e}")
|
||||
raise e
|
||||
|
||||
def _mock_json_response(self, prompt: str) -> Dict[str, Any]:
|
||||
return {
|
||||
"workoutName": "Offline Workout",
|
||||
"description": f"Generated offline for: {prompt}",
|
||||
"sportType": { "sportTypeId": 1, "sportTypeKey": "running" },
|
||||
"workoutSegments": []
|
||||
}
|
||||
|
||||
@@ -0,0 +1,56 @@
|
||||
from common.settings_manager import SettingsManager
|
||||
from garmin.sync import GarminSync
|
||||
|
||||
|
||||
class FitnessTools:
|
||||
"""Tools accessible by the AI Agent."""
|
||||
|
||||
def __init__(self, garmin_storage: str = "data/local/garmin"):
|
||||
self.sync = GarminSync(None, storage_dir=garmin_storage)
|
||||
self.settings = SettingsManager()
|
||||
|
||||
def get_recent_activities(self, limit: int = 5) -> str:
|
||||
"""
|
||||
Get a summary of the most recent activities.
|
||||
Args:
|
||||
limit: Number of activities to return (default 5).
|
||||
"""
|
||||
activities = self.sync.load_local_activities()
|
||||
# Sort by date desc
|
||||
activities.sort(key=lambda x: x.get("startTimeLocal", ""), reverse=True)
|
||||
|
||||
subset = activities[:limit]
|
||||
summary = []
|
||||
for act in subset:
|
||||
name = act.get("activityName", "Workout")
|
||||
type_key = act.get("activityType", {}).get("typeKey", "unknown")
|
||||
date = act.get("startTimeLocal", "").split(" ")[0]
|
||||
dist = round(act.get("distance", 0) / 1000, 2)
|
||||
dur = round(act.get("duration", 0) / 60, 0)
|
||||
summary.append(f"{date}: {name} ({type_key}) - {dist}km in {dur}min")
|
||||
|
||||
return "\n".join(summary)
|
||||
|
||||
def get_weekly_stats(self) -> str:
|
||||
"""Get aggregated weekly volume stats for the last 4 weeks."""
|
||||
stats = self.sync.get_weekly_stats(weeks=4)
|
||||
# Convert complex dict to simple text summary
|
||||
summary = ["Weekly Volume (Hours):"]
|
||||
labels = stats.get("labels", [])
|
||||
datasets = stats.get("datasets", [])
|
||||
|
||||
for i, week in enumerate(labels):
|
||||
week_total = 0
|
||||
details = []
|
||||
for ds in datasets:
|
||||
val = ds['data'][i] if i < len(ds['data']) else 0
|
||||
if val > 0:
|
||||
details.append(f"{ds['label']}: {val}h")
|
||||
week_total += val
|
||||
summary.append(f"Week {week}: Total {round(week_total, 1)}h ({', '.join(details)})")
|
||||
|
||||
return "\n".join(summary)
|
||||
|
||||
def get_user_profile(self) -> str:
|
||||
"""Get the user's fitness goals and preferences."""
|
||||
return self.settings.get_context_string()
|
||||
@@ -0,0 +1,34 @@
|
||||
|
||||
import requests
|
||||
|
||||
BASE_URL = "http://localhost:8000"
|
||||
|
||||
def test_profile():
|
||||
print("\n--- Testing Profile ---")
|
||||
data = {"fitness_goals": "Run a sub-4 marathon", "dietary_preferences": "No dairy"}
|
||||
res = requests.post(f"{BASE_URL}/settings/profile", json=data)
|
||||
print(f"Save Profile: {res.status_code}")
|
||||
|
||||
res = requests.get(f"{BASE_URL}/settings/profile")
|
||||
profile = res.json()
|
||||
print(f"Load Profile: {profile} - {'PASS' if profile.get('fitness_goals') == 'Run a sub-4 marathon' else 'FAIL'}")
|
||||
|
||||
def test_agent_chat():
|
||||
print("\n--- Testing Agent Chat ---")
|
||||
# This might fail if no API key is set, but we want to test the endpoint connectivity
|
||||
payload = {
|
||||
"message": "Overview of my last week?",
|
||||
"history": []
|
||||
}
|
||||
res = requests.post(f"{BASE_URL}/analyze/chat", json=payload)
|
||||
if res.status_code == 200:
|
||||
print(f"Agent Response: {res.json()['message']}")
|
||||
else:
|
||||
print(f"Agent Error: {res.text}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
test_profile()
|
||||
test_agent_chat()
|
||||
except Exception as e:
|
||||
print(f"Test failed: {e}")
|
||||
@@ -1,10 +1,11 @@
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
import os
|
||||
from fastapi.testclient import TestClient
|
||||
from unittest.mock import patch, MagicMock
|
||||
|
||||
from main import app
|
||||
|
||||
client = TestClient(app)
|
||||
client = TestClient(app, raise_server_exceptions=False)
|
||||
|
||||
@pytest.fixture
|
||||
def mock_sync():
|
||||
@@ -35,7 +36,7 @@ def test_get_activities_error(mock_sync):
|
||||
|
||||
response = client.get("/activities")
|
||||
assert response.status_code == 500
|
||||
assert "Load failed" in response.json()["detail"]
|
||||
assert "INTERNAL_SERVER_ERROR" in response.json()["error"]
|
||||
|
||||
def test_get_recommendation(mock_sync, mock_engine):
|
||||
mock_sync_instance = mock_sync.return_value
|
||||
|
||||
@@ -0,0 +1,28 @@
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
from main import app
|
||||
|
||||
client = TestClient(app)
|
||||
|
||||
def test_dashboard_endpoint():
|
||||
"""Test that the dashboard endpoint returns structured data."""
|
||||
response = client.get("/analyze/dashboard")
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
|
||||
# Check structure
|
||||
assert "summary" in data
|
||||
assert "breakdown" in data
|
||||
assert "strength_sessions" in data
|
||||
|
||||
# Check summary fields
|
||||
summary = data["summary"]
|
||||
assert "total_hours" in summary
|
||||
assert "trend_pct" in summary
|
||||
assert "period_label" in summary
|
||||
|
||||
def test_health_endpoint():
|
||||
"""Test the health check endpoint."""
|
||||
response = client.get("/health")
|
||||
assert response.status_code == 200
|
||||
assert response.json() == {"status": "ok"}
|
||||
@@ -1,19 +1,16 @@
|
||||
import pytest
|
||||
import os
|
||||
from unittest.mock import MagicMock, patch
|
||||
from datetime import date
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
from garmin.client import GarminClient
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_garmin():
|
||||
with patch("garmin.client.Garmin") as mock:
|
||||
yield mock
|
||||
|
||||
@pytest.fixture
|
||||
def mock_garth():
|
||||
with patch("garmin.client.garth") as mock:
|
||||
yield mock
|
||||
|
||||
@pytest.fixture
|
||||
def mock_sso():
|
||||
with patch("garmin.client.garth_login") as mock_login, \
|
||||
@@ -25,7 +22,7 @@ def test_client_init():
|
||||
assert client.email == "test@example.com"
|
||||
assert client.password == "password"
|
||||
|
||||
def test_login_success(mock_sso, mock_garmin, mock_garth):
|
||||
def test_login_success_force(mock_sso, mock_garmin):
|
||||
mock_login, _ = mock_sso
|
||||
mock_login.return_value = (MagicMock(), MagicMock())
|
||||
client = GarminClient(email="test@example.com", password="password")
|
||||
@@ -43,69 +40,63 @@ def test_login_mfa_required(mock_sso):
|
||||
assert client.login(force_login=True) == "MFA_REQUIRED"
|
||||
assert GarminClient._temp_client_state == {"some": "state"}
|
||||
|
||||
def test_login_mfa_complete(mock_sso, mock_garmin, mock_garth):
|
||||
def test_login_mfa_complete(mock_sso, mock_garmin):
|
||||
_, mock_resume_login = mock_sso
|
||||
mock_client = MagicMock()
|
||||
mock_client.oauth1_token = MagicMock()
|
||||
state = {"some": "state", "client": mock_client}
|
||||
GarminClient._temp_client_state = state
|
||||
|
||||
# resume_login should return (oauth1, oauth2)
|
||||
mock_resume_login.return_value = (MagicMock(), MagicMock())
|
||||
|
||||
client = GarminClient(email="test@example.com", password="password")
|
||||
assert client.login(mfa_code="123456") == "SUCCESS"
|
||||
mock_resume_login.assert_called_with(state, "123456")
|
||||
assert GarminClient._temp_client_state is None
|
||||
assert mock_client.dump.called
|
||||
|
||||
def test_login_resume_success(mock_garmin):
|
||||
client = GarminClient(email="test@example.com", password="password")
|
||||
inst = MagicMock()
|
||||
mock_garmin.return_value = inst
|
||||
|
||||
# Mocking both exists AND getsize to ensure we enter the resume block
|
||||
with patch("os.path.exists", return_value=True), \
|
||||
patch("os.path.getsize", return_value=100):
|
||||
assert client.login() == "SUCCESS"
|
||||
inst.login.assert_called_with(tokenstore=client.token_store)
|
||||
|
||||
def test_login_resume_fail_no_force(mock_garmin, mock_sso):
|
||||
def test_login_resume_fail_falls_back(mock_garmin, mock_sso):
|
||||
mock_login, _ = mock_sso
|
||||
mock_login.return_value = (MagicMock(), MagicMock())
|
||||
|
||||
inst = MagicMock()
|
||||
inst.login.side_effect = Exception("Resume fail")
|
||||
mock_garmin.return_value = inst
|
||||
|
||||
client = GarminClient(email="test", password="test")
|
||||
with patch("os.path.exists", return_value=True), \
|
||||
patch("os.path.getsize", return_value=100):
|
||||
patch("os.path.getsize", return_value=100), \
|
||||
patch("os.remove"):
|
||||
# Without force_login=True, it should fail if resume fails
|
||||
assert client.login() == "FAILURE"
|
||||
assert mock_login.call_count == 0
|
||||
|
||||
def test_login_resume_fail_with_force(mock_garmin, mock_sso):
|
||||
def test_login_resume_fail_force_retries(mock_garmin, mock_sso):
|
||||
mock_login, _ = mock_sso
|
||||
mock_login.return_value = (MagicMock(), MagicMock())
|
||||
|
||||
inst1 = MagicMock()
|
||||
inst1.login.side_effect = Exception("Resume fail")
|
||||
inst2 = MagicMock()
|
||||
inst2.login.return_value = None
|
||||
# inst2 needs to return None or something to not throw
|
||||
mock_garmin.side_effect = [inst1, inst2]
|
||||
|
||||
client = GarminClient(email="test", password="test")
|
||||
with patch("os.path.exists", return_value=True), \
|
||||
patch("os.path.getsize", return_value=100), \
|
||||
patch("os.remove") as mock_remove:
|
||||
patch("os.remove"):
|
||||
assert client.login(force_login=True) == "SUCCESS"
|
||||
assert mock_login.call_count == 1
|
||||
|
||||
def test_login_failure(mock_sso):
|
||||
mock_login, _ = mock_sso
|
||||
mock_login.side_effect = Exception("Fatal error")
|
||||
client = GarminClient(email="test@example.com", password="password")
|
||||
|
||||
with patch("os.path.exists", return_value=False):
|
||||
assert client.login(force_login=True) == "FAILURE"
|
||||
|
||||
def test_get_activities_not_logged_in():
|
||||
client = GarminClient()
|
||||
with pytest.raises(RuntimeError, match="Client not logged in"):
|
||||
client.get_activities(date.today(), date.today())
|
||||
assert mock_login.called
|
||||
|
||||
def test_get_activities_success(mock_garmin):
|
||||
mock_instance = mock_garmin.return_value
|
||||
@@ -116,30 +107,3 @@ def test_get_activities_success(mock_garmin):
|
||||
|
||||
activities = client.get_activities(date(2023, 1, 1), date(2023, 1, 2))
|
||||
assert activities == [{"activityId": 123}]
|
||||
|
||||
def test_get_activities_failure(mock_garmin):
|
||||
mock_instance = mock_garmin.return_value
|
||||
mock_instance.get_activities_by_date.side_effect = Exception("err")
|
||||
|
||||
client = GarminClient()
|
||||
client.client = mock_instance
|
||||
|
||||
assert client.get_activities(date.today(), date.today()) == []
|
||||
|
||||
def test_get_stats_success(mock_garmin):
|
||||
mock_instance = mock_garmin.return_value
|
||||
mock_instance.get_stats.return_value = {"steps": 1000}
|
||||
|
||||
client = GarminClient()
|
||||
client.client = mock_instance
|
||||
stats = client.get_stats(date(2023, 1, 1))
|
||||
assert stats == {"steps": 1000}
|
||||
|
||||
def test_get_user_summary_success(mock_garmin):
|
||||
mock_instance = mock_garmin.return_value
|
||||
mock_instance.get_user_summary.return_value = {"calories": 2000}
|
||||
|
||||
client = GarminClient()
|
||||
client.client = mock_instance
|
||||
summary = client.get_user_summary(date(2023, 1, 1))
|
||||
assert summary == {"calories": 2000}
|
||||
|
||||
@@ -1,10 +1,12 @@
|
||||
import os
|
||||
import json
|
||||
import os
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
import pytest
|
||||
from unittest.mock import MagicMock, patch
|
||||
from datetime import date
|
||||
|
||||
from garmin.sync import GarminSync
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_client():
|
||||
return MagicMock()
|
||||
|
||||
@@ -1,8 +1,11 @@
|
||||
import os
|
||||
import json
|
||||
import os
|
||||
|
||||
import pytest
|
||||
|
||||
from garmin.workout import GarminWorkoutCreator, StrengthWorkout, WorkoutStep
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def temp_workout_dir(tmp_path):
|
||||
return str(tmp_path / "workouts")
|
||||
|
||||
@@ -1,37 +1,38 @@
|
||||
import pytest
|
||||
from unittest.mock import MagicMock, patch
|
||||
from recommendations.engine import RecommendationEngine
|
||||
|
||||
def test_get_recommendation_cycling():
|
||||
engine = RecommendationEngine()
|
||||
history = [{"activityName": "Morning Ride", "activityType": {"typeKey": "cycling"}}]
|
||||
objective = "endurance"
|
||||
@patch("google.genai.Client")
|
||||
def test_chat_with_data_success(mock_genai_client):
|
||||
# Setup mock
|
||||
mock_chat = MagicMock()
|
||||
mock_chat.send_message.return_value.text = "Keep it up!"
|
||||
mock_client_inst = MagicMock()
|
||||
mock_client_inst.chats.create.return_value = mock_chat
|
||||
mock_genai_client.return_value = mock_client_inst
|
||||
|
||||
rec = engine.get_recommendation(history, objective)
|
||||
assert "HIIT" in rec
|
||||
|
||||
def test_get_recommendation_strength():
|
||||
engine = RecommendationEngine()
|
||||
history = [{"activityName": "Upper Body", "activityType": {"typeKey": "strength_training"}}]
|
||||
objective = "strong"
|
||||
engine = RecommendationEngine(api_key="fake_key")
|
||||
response = engine.chat_with_data("Hello", history=[])
|
||||
|
||||
rec = engine.get_recommendation(history, objective)
|
||||
assert "leg strength" in rec
|
||||
assert response == "Keep it up!"
|
||||
assert mock_client_inst.chats.create.called
|
||||
|
||||
def test_get_recommendation_default():
|
||||
engine = RecommendationEngine()
|
||||
history = []
|
||||
objective = "fitness"
|
||||
@patch("google.genai.Client")
|
||||
def test_get_recommendation_calls_chat(mock_genai_client):
|
||||
mock_chat = MagicMock()
|
||||
mock_chat.send_message.return_value.text = "Tip!"
|
||||
mock_client_inst = MagicMock()
|
||||
mock_client_inst.chats.create.return_value = mock_chat
|
||||
mock_genai_client.return_value = mock_client_inst
|
||||
|
||||
engine = RecommendationEngine(api_key="fake_key")
|
||||
response = engine.get_recommendation([], "fitness")
|
||||
|
||||
rec = engine.get_recommendation(history, objective)
|
||||
assert "consistent work" in rec
|
||||
assert response == "Tip!"
|
||||
|
||||
def test_summarize_history_empty():
|
||||
engine = RecommendationEngine()
|
||||
summary = engine._summarize_history([])
|
||||
assert "No recent training data" in summary
|
||||
|
||||
def test_summarize_history_with_data():
|
||||
engine = RecommendationEngine()
|
||||
history = [{"activityName": "Run", "activityType": {"typeKey": "running"}}]
|
||||
summary = engine._summarize_history(history)
|
||||
assert "- Run (running)" in summary
|
||||
@patch("os.getenv", return_value=None)
|
||||
def test_mock_response_when_no_api_key(mock_env):
|
||||
engine = RecommendationEngine(api_key=None)
|
||||
# Mocking is done via client=None check
|
||||
response = engine.chat_with_data("Hello")
|
||||
assert "AI unavailable" in response
|
||||
|
||||
Generated
+32
@@ -1,6 +1,10 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.13"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.14'",
|
||||
"python_full_version < '3.14'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiohappyeyeballs"
|
||||
@@ -142,6 +146,7 @@ dependencies = [
|
||||
{ name = "pandas" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "python-dotenv" },
|
||||
{ name = "ruff" },
|
||||
{ name = "uvicorn" },
|
||||
]
|
||||
|
||||
@@ -161,6 +166,7 @@ requires-dist = [
|
||||
{ name = "pandas", specifier = ">=2.3.3" },
|
||||
{ name = "pydantic", specifier = ">=2.0.0" },
|
||||
{ name = "python-dotenv", specifier = ">=1.2.1" },
|
||||
{ name = "ruff", specifier = ">=0.14.10" },
|
||||
{ name = "uvicorn", specifier = ">=0.40.0" },
|
||||
]
|
||||
|
||||
@@ -904,6 +910,32 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/5d/63d4ae3b9daea098d5d6f5da83984853c1bbacd5dc826764b249fe119d24/requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36", size = 24179, upload-time = "2024-03-22T20:32:28.055Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.14.10"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/57/08/52232a877978dd8f9cf2aeddce3e611b40a63287dfca29b6b8da791f5e8d/ruff-0.14.10.tar.gz", hash = "sha256:9a2e830f075d1a42cd28420d7809ace390832a490ed0966fe373ba288e77aaf4", size = 5859763, upload-time = "2025-12-18T19:28:57.98Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/60/01/933704d69f3f05ee16ef11406b78881733c186fe14b6a46b05cfcaf6d3b2/ruff-0.14.10-py3-none-linux_armv6l.whl", hash = "sha256:7a3ce585f2ade3e1f29ec1b92df13e3da262178df8c8bdf876f48fa0e8316c49", size = 13527080, upload-time = "2025-12-18T19:29:25.642Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/df/58/a0349197a7dfa603ffb7f5b0470391efa79ddc327c1e29c4851e85b09cc5/ruff-0.14.10-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:674f9be9372907f7257c51f1d4fc902cb7cf014b9980152b802794317941f08f", size = 13797320, upload-time = "2025-12-18T19:29:02.571Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7b/82/36be59f00a6082e38c23536df4e71cdbc6af8d7c707eade97fcad5c98235/ruff-0.14.10-py3-none-macosx_11_0_arm64.whl", hash = "sha256:d85713d522348837ef9df8efca33ccb8bd6fcfc86a2cde3ccb4bc9d28a18003d", size = 12918434, upload-time = "2025-12-18T19:28:51.202Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a6/00/45c62a7f7e34da92a25804f813ebe05c88aa9e0c25e5cb5a7d23dd7450e3/ruff-0.14.10-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6987ebe0501ae4f4308d7d24e2d0fe3d7a98430f5adfd0f1fead050a740a3a77", size = 13371961, upload-time = "2025-12-18T19:29:04.991Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/40/31/a5906d60f0405f7e57045a70f2d57084a93ca7425f22e1d66904769d1628/ruff-0.14.10-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:16a01dfb7b9e4eee556fbfd5392806b1b8550c9b4a9f6acd3dbe6812b193c70a", size = 13275629, upload-time = "2025-12-18T19:29:21.381Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3e/60/61c0087df21894cf9d928dc04bcd4fb10e8b2e8dca7b1a276ba2155b2002/ruff-0.14.10-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7165d31a925b7a294465fa81be8c12a0e9b60fb02bf177e79067c867e71f8b1f", size = 14029234, upload-time = "2025-12-18T19:29:00.132Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/44/84/77d911bee3b92348b6e5dab5a0c898d87084ea03ac5dc708f46d88407def/ruff-0.14.10-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:c561695675b972effb0c0a45db233f2c816ff3da8dcfbe7dfc7eed625f218935", size = 15449890, upload-time = "2025-12-18T19:28:53.573Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/36/480206eaefa24a7ec321582dda580443a8f0671fdbf6b1c80e9c3e93a16a/ruff-0.14.10-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4bb98fcbbc61725968893682fd4df8966a34611239c9fd07a1f6a07e7103d08e", size = 15123172, upload-time = "2025-12-18T19:29:23.453Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5c/38/68e414156015ba80cef5473d57919d27dfb62ec804b96180bafdeaf0e090/ruff-0.14.10-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f24b47993a9d8cb858429e97bdf8544c78029f09b520af615c1d261bf827001d", size = 14460260, upload-time = "2025-12-18T19:29:27.808Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b3/19/9e050c0dca8aba824d67cc0db69fb459c28d8cd3f6855b1405b3f29cc91d/ruff-0.14.10-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59aabd2e2c4fd614d2862e7939c34a532c04f1084476d6833dddef4afab87e9f", size = 14229978, upload-time = "2025-12-18T19:29:11.32Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/51/eb/e8dd1dd6e05b9e695aa9dd420f4577debdd0f87a5ff2fedda33c09e9be8c/ruff-0.14.10-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:213db2b2e44be8625002dbea33bb9c60c66ea2c07c084a00d55732689d697a7f", size = 14338036, upload-time = "2025-12-18T19:29:09.184Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6a/12/f3e3a505db7c19303b70af370d137795fcfec136d670d5de5391e295c134/ruff-0.14.10-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:b914c40ab64865a17a9a5b67911d14df72346a634527240039eb3bd650e5979d", size = 13264051, upload-time = "2025-12-18T19:29:13.431Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/08/64/8c3a47eaccfef8ac20e0484e68e0772013eb85802f8a9f7603ca751eb166/ruff-0.14.10-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:1484983559f026788e3a5c07c81ef7d1e97c1c78ed03041a18f75df104c45405", size = 13283998, upload-time = "2025-12-18T19:29:06.994Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/12/84/534a5506f4074e5cc0529e5cd96cfc01bb480e460c7edf5af70d2bcae55e/ruff-0.14.10-py3-none-musllinux_1_2_i686.whl", hash = "sha256:c70427132db492d25f982fffc8d6c7535cc2fd2c83fc8888f05caaa248521e60", size = 13601891, upload-time = "2025-12-18T19:28:55.811Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0d/1e/14c916087d8598917dbad9b2921d340f7884824ad6e9c55de948a93b106d/ruff-0.14.10-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:5bcf45b681e9f1ee6445d317ce1fa9d6cba9a6049542d1c3d5b5958986be8830", size = 14336660, upload-time = "2025-12-18T19:29:16.531Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f2/1c/d7b67ab43f30013b47c12b42d1acd354c195351a3f7a1d67f59e54227ede/ruff-0.14.10-py3-none-win32.whl", hash = "sha256:104c49fc7ab73f3f3a758039adea978869a918f31b73280db175b43a2d9b51d6", size = 13196187, upload-time = "2025-12-18T19:29:19.006Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fb/9c/896c862e13886fae2af961bef3e6312db9ebc6adc2b156fe95e615dee8c1/ruff-0.14.10-py3-none-win_amd64.whl", hash = "sha256:466297bd73638c6bdf06485683e812db1c00c7ac96d4ddd0294a338c62fdc154", size = 14661283, upload-time = "2025-12-18T19:29:30.16Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/31/b0e29d572670dca3674eeee78e418f20bdf97fa8aa9ea71380885e175ca0/ruff-0.14.10-py3-none-win_arm64.whl", hash = "sha256:e51d046cf6dda98a4633b8a8a771451107413b0f07183b2bef03f075599e44e6", size = 13729839, upload-time = "2025-12-18T19:28:48.636Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "six"
|
||||
version = "1.17.0"
|
||||
|
||||
Reference in New Issue
Block a user