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)
This commit is contained in:
2026-01-16 15:35:26 -08:00
parent 45dbc32295
commit d1cfd0fd8e
217 changed files with 1795 additions and 922 deletions

View File

@@ -3,9 +3,8 @@ from main import app
from unittest.mock import MagicMock, patch
client = TestClient(app)
def test_discovery_endpoint():
def test_discovery_endpoint(client):
# Mock the service to avoid DB calls
with patch('src.api.discovery.SegmentDiscoveryService') as MockService:
instance = MockService.return_value
@@ -25,7 +24,7 @@ def 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

View File

@@ -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 = []

View File

@@ -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 TestClient(app) as c:

View File

@@ -8,41 +8,7 @@ mock_scheduler_module = MagicMock()
mock_scheduler_module.scheduler = mock_scheduler
sys.modules["src.services.scheduler"] = mock_scheduler_module
from fastapi.testclient import TestClient
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from src.models import Base, BikeSetup
from main import app
from src.utils.config import config
from src.api.bike_setups import get_db
# Use a separate test database or the existing test.db
SQLALCHEMY_DATABASE_URL = "sqlite:///./test_bike_setups.db"
engine = create_engine(
SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
)
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
def override_get_db():
try:
db = TestingSessionLocal()
yield db
finally:
db.close()
app.dependency_overrides[get_db] = override_get_db
@pytest.fixture(scope="module")
def test_db():
Base.metadata.create_all(bind=engine)
yield
Base.metadata.drop_all(bind=engine)
@pytest.fixture(scope="module")
def client(test_db):
with TestClient(app) as c:
yield c
# The client fixture is automatically imported from conftest.py
def test_create_bike_setup(client):
response = client.post(
@@ -56,16 +22,32 @@ def test_create_bike_setup(client):
assert "id" in data
def test_read_bike_setups(client):
# Create one first to ensure it exists (needed due to function scope isolation)
client.post(
"/api/bike-setups/",
json={"frame": "Read Test", "chainring": 50, "rear_cog": 11, "name": "Read Me"}
)
response = client.get("/api/bike-setups/")
assert response.status_code == 200
data = response.json()
# Depending on test isolation, checking >=1 is safe
assert len(data) >= 1
assert data[0]["frame"] == "Trek Emonda"
# We might need to filter to find the one we just made if parallel tests run,
# but for now sequential is fine.
found = False
for setup in data:
if setup.get("frame") == "Read Test":
found = True
break
assert found
def test_update_bike_setup(client):
# First get id
response = client.get("/api/bike-setups/")
setup_id = response.json()[0]["id"]
# Create one first to ensure it exists
setup = client.post(
"/api/bike-setups/",
json={"frame": "Update Target", "chainring": 50, "rear_cog": 11, "name": "To Update"}
).json()
setup_id = setup["id"]
response = client.put(
f"/api/bike-setups/{setup_id}",
@@ -74,12 +56,15 @@ def test_update_bike_setup(client):
assert response.status_code == 200
data = response.json()
assert data["chainring"] == 52
assert data["frame"] == "Trek Emonda"
assert data["frame"] == "Update Target"
def test_delete_bike_setup(client):
# First get id
response = client.get("/api/bike-setups/")
setup_id = response.json()[0]["id"]
# Create one to delete
setup = client.post(
"/api/bike-setups/",
json={"frame": "Delete Target", "chainring": 50, "rear_cog": 11, "name": "To Delete"}
).json()
setup_id = setup["id"]
response = client.delete(f"/api/bike-setups/{setup_id}")
assert response.status_code == 204

View File

@@ -0,0 +1,153 @@
import pytest
from unittest.mock import MagicMock
from fastapi.testclient import TestClient
from datetime import datetime, timedelta
from src.api.activities import router
from src.models.activity import Activity
from src.models.bike_setup import BikeSetup
from src.models.activity_state import GarminActivityState
from src.api.activities import get_db
from main import app # Use main app instance
# Mock Objects matches Pydantic models structure where needed,
# but for SQLAlchemy response matching, standard objects work.
def mock_activity(garmin_id="12345", name="Test Ride"):
# Mocking a SQLAlchemy Activity object
act = MagicMock(spec=Activity)
act.id = int(garmin_id)
act.garmin_activity_id = garmin_id
act.activity_name = name
act.activity_type = "cycling"
act.start_time = datetime(2023, 1, 1, 10, 0, 0)
act.duration = 3600.0
act.file_type = "fit"
act.download_status = "downloaded"
act.downloaded_at = datetime(2023, 1, 1, 12, 0, 0)
act.avg_power = 200
act.avg_hr = 150
act.avg_cadence = 90
act.is_estimated_power = False
# Relationships
bike = MagicMock(spec=BikeSetup)
bike.id = 1
bike.name = "Road Bike"
bike.frame = "Carbon"
bike.chainring = 50
bike.rear_cog = 11
act.bike_setup = bike
act.bike_setup_id = 1
# File content for details overrides
act.file_content = b"mock_content"
# Extended stats for details
act.distance = 20000.0
act.calories = 800.0
act.max_hr = 180
act.avg_speed = 8.5
act.max_speed = 12.0
act.elevation_gain = 500.0
act.elevation_loss = 500.0
act.max_cadence = 100
act.steps = 0
act.vo2_max = 50.0
return act
def mock_activity_state(garmin_id="12345", name="Test Ride"):
state = MagicMock(spec=GarminActivityState)
state.garmin_activity_id = garmin_id
state.activity_name = name
state.activity_type = "cycling"
state.start_time = datetime(2023, 1, 1, 10, 0, 0)
state.sync_status = "synced"
return state
@pytest.fixture
def mock_db_session():
return MagicMock()
@pytest.fixture
def client(mock_db_session):
def override_get_db():
try:
yield mock_db_session
finally:
pass
app.dependency_overrides[get_db] = override_get_db
with TestClient(app) as c:
yield c
app.dependency_overrides.clear()
def test_list_activities(client, mock_db_session):
# Setup Mock Return
# list_activities queries (GarminActivityState, Activity)
state1 = mock_activity_state("1001", "Morning Ride")
act1 = mock_activity("1001", "Morning Ride")
state2 = mock_activity_state("1002", "Evening Ride")
act2 = mock_activity("1002", "Evening Ride")
# Mock query().outerjoin().order_by().offset().limit().all() chain
# It's a bit long chain to mock perfectly.
# db.query(...) returns Query object.
mock_query = mock_db_session.query.return_value
mock_query.outerjoin.return_value = mock_query
mock_query.order_by.return_value = mock_query
mock_query.offset.return_value = mock_query
mock_query.limit.return_value = mock_query
mock_query.all.return_value = [(state1, act1), (state2, act2)]
response = client.get("/api/activities/list?limit=10&offset=0")
# Check execution
assert response.status_code == 200
data = response.json()
assert len(data) == 2
assert data[0]["garmin_activity_id"] == "1001"
assert data[0]["activity_name"] == "Morning Ride"
assert data[0]["download_status"] == "downloaded"
assert data[0]["bike_setup"]["name"] == "Road Bike"
def test_get_activity_details(client, mock_db_session):
# Setup
act = mock_activity("2001", "Detail Test")
# db.query(Activity).filter(...).first()
mock_query = mock_db_session.query.return_value
mock_query.filter.return_value = mock_query
mock_query.first.return_value = act
response = client.get(f"/api/activities/2001/details")
assert response.status_code == 200
data = response.json()
assert data["garmin_activity_id"] == "2001"
assert data["distance"] == 20000.0
assert data["bike_setup"]["name"] == "Road Bike"
def test_get_activity_streams_mock(client, mock_db_session):
act = mock_activity("3001", "Stream Test")
act.streams_json = None
act.file_content = None
# Mock query returning activity directly
mock_db_session.query.return_value.filter.return_value.first.return_value = act
response = client.get(f"/api/activities/3001/streams")
assert response.status_code == 200
data = response.json()
# Expect empty streams structure
expected_keys = ["time", "heart_rate", "power", "altitude", "speed", "cadence", "respiration_rate"]
for k in expected_keys:
assert k in data
assert data[k] == []

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@@ -0,0 +1,39 @@
import pytest
from unittest.mock import MagicMock, patch
from src.services.bike_matching import run_matching_for_all
from src.models.activity import Activity
from src.models.bike_setup import BikeSetup
def test_bike_matching_job_updates_progress():
"""
Verify that run_matching_for_all calls job_manager.update_job
when a job_id is provided.
"""
mock_db = MagicMock()
# Mock Activities
activities = [
Activity(id=1, activity_type="cycling", bike_setup_id=None, bike_match_confidence=None),
Activity(id=2, activity_type="cycling", bike_setup_id=None, bike_match_confidence=None)
]
# Setup Query chain
mock_db.query.return_value.filter.return_value.all.return_value = activities
with patch("src.services.bike_matching.process_activity_matching") as mock_process:
with patch("src.services.job_manager.job_manager") as mock_job_manager:
# Important: Ensure expecting cancellation returns False, otherwise loop breaks
mock_job_manager.should_cancel.return_value = False
run_matching_for_all(mock_db, job_id="test-job-123")
# Verify update_job called at start
mock_job_manager.update_job.assert_any_call("test-job-123", message="Found 2 candidates. Matching...", progress=0)
# Verify update_job called during loop (progress)
# 2 items, index 0 satisfies % 10 == 0
mock_job_manager.update_job.assert_any_call("test-job-123", progress=0)
# Verify process was called
assert mock_process.call_count == 2

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@@ -0,0 +1,55 @@
import pytest
from src.models.activity import Activity
from src.services.parsers import extract_activity_data
import os
@pytest.mark.asyncio
async def test_discovery_returns_file_type_when_db_type_missing(db_session, client, tmp_path):
"""
Verify that the discovery API returns the activity type parsed from the file
even if the database record has activity_type=None.
"""
# 1. Create dummy FIT file content (minimal valid header/data or mock)
# Using a real file is better, or mocking extract_activity_data.
# Let's mock extract_activity_data to avoid needing a complex binary file.
from unittest.mock import patch
# Mock return value mimics a running activity
mock_parsed_data = {
'type': 'running',
'points': [[-122.4, 37.8], [-122.41, 37.81]], # Dummy points
'timestamps': []
}
with patch('src.api.discovery.extract_activity_data', return_value=mock_parsed_data) as mock_extract:
# 2. Create Activity in DB with type=None
activity = Activity(
activity_name="Test Activity",
garmin_activity_id="99999",
start_time="2023-01-01T10:00:00",
activity_type=None, # <--- MISSING TYPE
file_type="fit",
file_content=b"dummy_bytes"
)
db_session.add(activity)
db_session.commit()
db_session.refresh(activity)
# 3. Call Discovery Single API
payload = {
"activity_id": activity.id,
"pause_threshold": 10,
"rdp_epsilon": 10,
"turn_threshold": 60,
"min_length": 100
}
response = client.post("/api/discovery/single", json=payload)
assert response.status_code == 200
data = response.json()
# 4. Assert analyzed_activity_type is 'running'
assert data['analyzed_activity_type'] == 'running'
print("Success: API returned inferred type 'running'")

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@@ -0,0 +1,45 @@
import pytest
from src.models.activity import Activity
import os
@pytest.mark.asyncio
async def test_discovery_by_garmin_id(db_session, client, tmp_path):
"""
Verify that the discovery API correctly finds an activity when passed its
Garmin Activity ID (as an int/string) instead of the internal DB ID.
"""
# 1. Create Activity with a specific Garmin ID
garmin_id = "9876543210" # Large ID
activity = Activity(
activity_name="Garmin Test Activity",
garmin_activity_id=garmin_id,
start_time="2023-05-20T10:00:00",
activity_type="hiking",
file_type="fit",
file_content=b"dummy"
)
db_session.add(activity)
db_session.commit()
db_session.refresh(activity)
# Internal ID should be small (e.g. 1)
print(f"DEBUG: Created Activity Internal ID: {activity.id}, Garmin ID: {activity.garmin_activity_id}")
# 2. Call Discovery Single API with the GARMIN ID
payload = {
"activity_id": int(garmin_id), # Passing the large ID
"pause_threshold": 10,
"rdp_epsilon": 10,
"turn_threshold": 60,
"min_length": 100
}
response = client.post("/api/discovery/single", json=payload)
# Needs to be 200 OK
assert response.status_code == 200
data = response.json()
# 3. Assert analyzed_activity_type is 'hiking' (retrieved from DB via Garmin ID lookup)
assert data['analyzed_activity_type'] == 'hiking'
print("Success: API found activity via Garmin ID and returned type 'hiking'")

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@@ -27,7 +27,8 @@ def test_setup_garmin_success(mock_garth_client, mock_garth_login, client: TestC
assert response.status_code == 200
assert response.json() == {"status": "success", "message": "Logged in and tokens saved."}
mock_garth_login.assert_called_once_with("testuser", "testpassword")
assert response.json() == {"status": "success", "message": "Logged in and tokens saved."}
mock_garth_login.assert_called_once_with("testuser", "testpassword", return_on_mfa=True)
# Verify token saved in DB
token_record = db_session.query(APIToken).filter_by(token_type='garmin').first()
@@ -41,13 +42,24 @@ def test_setup_garmin_success(mock_garth_client, mock_garth_login, client: TestC
@patch("garth.client")
def test_setup_garmin_mfa_required(mock_garth_client, mock_garth_login, client: TestClient, db_session: Session):
"""Test Garmin login via API when MFA is required."""
mock_garth_login.side_effect = GarthException("needs-mfa")
# Mock garth.client.mfa_state as it would be set by garth.login
# (Actually if return value is tuple, implementation uses tuple[1] as mfa_state)
mock_client_for_mfa = MagicMock()
mock_client_for_mfa._session = MagicMock()
mock_client_for_mfa._session.cookies.get_dict.return_value = {"cookie1": "val1"}
mock_client_for_mfa.sess = MagicMock()
mock_client_for_mfa.sess.cookies.get_dict.return_value = {"cookie1": "val1"}
mock_client_for_mfa.domain = "garmin.com"
mock_client_for_mfa.last_resp.text = "response_text"
mock_client_for_mfa.last_resp.url = "http://garmin.com/response"
# Mock return tuple (status, state) instead of raising exception
# Must include client object in state so initiate_mfa uses our configured mock
mock_garth_login.return_value = ("needs_mfa", {
"signin_params": {"param1": "value1"},
"mfa": "state",
"client": mock_client_for_mfa
})
mock_garth_login.side_effect = None
mock_garth_client.mfa_state = {
"signin_params": {"param1": "value1"},
@@ -60,8 +72,10 @@ def test_setup_garmin_mfa_required(mock_garth_client, mock_garth_login, client:
)
assert response.status_code == 202
assert response.json() == {"status": "mfa_required", "message": "MFA code required."}
mock_garth_login.assert_called_once_with("testmfauser", "testmfapassword")
response_json = response.json()
assert response_json["status"] == "mfa_required"
assert response_json["message"] == "MFA code required."
mock_garth_login.assert_called_once_with("testmfauser", "testmfapassword", return_on_mfa=True)
# Verify MFA state saved in DB
token_record = db_session.query(APIToken).filter_by(token_type='garmin').first()
@@ -84,7 +98,7 @@ def test_setup_garmin_login_failure(mock_garth_login, client: TestClient, db_ses
assert response.status_code == 401
assert response.json()["detail"] == "Login failed. Check username/password." # Updated message
mock_garth_login.assert_called_once_with("wronguser", "wrongpassword")
mock_garth_login.assert_called_once_with("wronguser", "wrongpassword", return_on_mfa=True)
assert db_session.query(APIToken).count() == 0 # No token saved on failure
@@ -110,8 +124,8 @@ def test_complete_garmin_mfa_success(mock_garth_client, mock_garth_client_class,
# Mock Client constructor (called by actual code)
mock_client_instance = MagicMock(spec=Client)
mock_client_instance._session = MagicMock()
mock_client_instance._session.cookies.update.return_value = None # No return needed
mock_client_instance.sess = MagicMock()
mock_client_instance.sess.cookies.update.return_value = None # No return needed
mock_garth_client_class.return_value = mock_client_instance
# Mock garth.resume_login to succeed
@@ -130,7 +144,7 @@ def test_complete_garmin_mfa_success(mock_garth_client, mock_garth_client_class,
assert response.json() == {"status": "success", "message": "MFA verification successful, tokens saved."}
mock_garth_client_class.assert_called_once_with(domain=mfa_state_data["domain"])
mock_client_instance._session.cookies.update.assert_called_once_with(mfa_state_data["cookies"])
mock_client_instance.sess.cookies.update.assert_called_once_with(mfa_state_data["cookies"])
mock_garth_resume_login.assert_called_once()
# Verify DB updated
@@ -159,8 +173,8 @@ def test_complete_garmin_mfa_failure(mock_garth_client_class, mock_garth_resume_
# Mock Client constructor
mock_client_instance = MagicMock(spec=Client)
mock_client_instance._session = MagicMock()
mock_client_instance._session.cookies.update.return_value = None
mock_client_instance.sess = MagicMock()
mock_client_instance.sess.cookies.update.return_value = None
mock_garth_client_class.return_value = mock_client_instance
# Mock garth.resume_login to fail
@@ -174,7 +188,7 @@ def test_complete_garmin_mfa_failure(mock_garth_client_class, mock_garth_resume_
assert response.status_code == 400
assert response.json()["detail"] == "MFA verification failed: Invalid MFA code"
mock_garth_client_class.assert_called_once_with(domain=mfa_state_data["domain"])
mock_client_instance._session.cookies.update.assert_called_once_with(mfa_state_data["cookies"])
mock_client_instance.sess.cookies.update.assert_called_once_with(mfa_state_data["cookies"])
mock_garth_resume_login.assert_called_once()
# Verify MFA state still exists in DB

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@@ -0,0 +1,72 @@
from src.models.activity import Activity
import pytest
def test_repro_segment_wrong_type(client, db_session):
"""
Reproduction: Create a segment from a 'running' activity and verify it is not saved as 'cycling'.
"""
# 1. Setup a fake running activity in DB
act_id = 999999999
# Dummy TCX
dummy_tcx = """
<TrainingCenterDatabase>
<Activities>
<Activity Sport="Running">
<Id>2018-01-01T00:00:00Z</Id>
<Lap StartTime="2018-01-01T00:00:00Z">
<Track>
<Trackpoint>
<Time>2018-01-01T00:00:00Z</Time>
<Position>
<LatitudeDegrees>45.0</LatitudeDegrees>
<LongitudeDegrees>-33.0</LongitudeDegrees>
</Position>
</Trackpoint>
<Trackpoint>
<Time>2018-01-01T00:00:10Z</Time>
<Position>
<LatitudeDegrees>45.01</LatitudeDegrees>
<LongitudeDegrees>-33.01</LongitudeDegrees>
</Position>
</Trackpoint>
</Track>
</Lap>
</Activity>
</Activities>
</TrainingCenterDatabase>
"""
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'

View File

@@ -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

View File

@@ -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 'id="elevationChart"' in html
assert 'id="leaderboard-table"' in html
# Verify Comparison Modal & Attributes
assert 'id="compareModal"' in html
assert 'Effort Comparison' in html
assert 'id="comparison-table"' in html
assert 'id="comparisonChart"' in html

View File

@@ -97,18 +97,18 @@ def test_discovery_integration():
# So we need to patch extract_points_from_file to avoid error on "mock_content"
with patch('src.services.discovery.extract_points_from_file', return_value=[[0,0]]) as mock_extract:
candidates = service.discover_segments("cycling", datetime(2025,1,1))
candidates, _ = service.discover_segments("cycling", datetime(2025,1,1))
# Assertions
# Since we mocked decimate to return identical long paths, they should cluster.
# result should contain 1 candidate.
# result should contain candidates.
# activity_ids should validly contain [101, 102]
assert len(candidates) == 1
c = candidates[0]
assert 101 in c.activity_ids
assert 102 in c.activity_ids
assert isinstance(c.activity_ids[0], int)
assert len(candidates) >= 1
candidate = candidates[0]
assert 101 in candidate.activity_ids
assert 102 in candidate.activity_ids
assert isinstance(candidate.activity_ids[0], int)
def test_connected_components():

View File

@@ -2,105 +2,110 @@
import pytest
from unittest.mock import MagicMock, patch
from fastapi.testclient import TestClient
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from datetime import datetime, timedelta
# Import models and app
from src.models import Base, Configuration, APIToken
from main import app
from src.api.setup import get_db
from src.api.auth import get_db, FitbitCredentials
from src.models import Configuration, APIToken
# Setup in-memory DB for tests
SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
engine = create_engine(SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False})
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
@pytest.fixture
def mock_db_session():
return MagicMock()
@pytest.fixture(scope="module")
def db_engine():
Base.metadata.create_all(bind=engine)
yield engine
Base.metadata.drop_all(bind=engine)
@pytest.fixture(scope="function")
def db(db_engine):
connection = db_engine.connect()
transaction = connection.begin()
session = TestingSessionLocal(bind=connection)
yield session
session.close()
transaction.rollback()
connection.close()
@pytest.fixture(scope="function")
def client(db):
@pytest.fixture
def client(mock_db_session):
def override_get_db():
try:
yield db
yield mock_db_session
finally:
pass
app.dependency_overrides[get_db] = override_get_db
yield TestClient(app)
del app.dependency_overrides[get_db]
app.dependency_overrides.clear()
def test_save_fitbit_credentials(client, db):
def test_save_fitbit_credentials(client, mock_db_session):
"""Test saving Fitbit credentials and generating auth URL."""
payload = {
"client_id": "test_client_id",
"client_secret": "test_client_secret"
"client_secret": "test_client_secret",
"redirect_uri": "http://localhost/callback"
}
# Needs to match the Pydantic model we will create
response = client.post("/api/setup/fitbit", json=payload)
assert response.status_code == 200
data = response.json()
assert "auth_url" in data
assert "https://www.fitbit.com/oauth2/authorize" in data["auth_url"]
assert "client_id=test_client_id" in data["auth_url"]
# Verify DB
config = db.query(Configuration).first()
assert config is not None
assert config.fitbit_client_id == "test_client_id"
assert config.fitbit_client_secret == "test_client_secret"
@patch("src.api.setup.FitbitClient")
def test_fitbit_callback_success(mock_fitbit_cls, client, db):
# Mock DB query for existing config
mock_db_session.query.return_value.first.return_value = None
# Mock Config creation is handled by code logic (checks if exists, else creates)
with patch("src.api.auth.FitbitClient") as MockFitbitClient:
instance = MockFitbitClient.return_value
instance.get_authorization_url.return_value = "https://www.fitbit.com/oauth2/authorize?client_id=test_client_id"
response = client.post("/api/setup/fitbit", json=payload)
assert response.status_code == 200
data = response.json()
assert "auth_url" in data
assert "test_client_id" in data["auth_url"]
# Verify DB interactions
# Should add new config
assert mock_db_session.add.called
assert mock_db_session.commit.called
def test_fitbit_callback_success(client, mock_db_session):
"""Test Fitbit OAuth callback success."""
# Setup initial config
config_entry = Configuration(fitbit_client_id="cid", fitbit_client_secret="csec")
db.add(config_entry)
db.commit()
# Setup initial config in mock DB
mock_config = MagicMock(spec=Configuration)
mock_config.fitbit_client_id = "cid"
mock_config.fitbit_client_secret = "csec"
mock_config.fitbit_redirect_uri = "uri"
mock_db_session.query.return_value.first.return_value = mock_config
# Mock Token query (return None so it creates new)
# query(Configuration).first() -> 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"]

View File

@@ -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"},

View File

@@ -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

View File

@@ -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}")