Fix MAdrid Open data file 2
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@@ -1,94 +0,0 @@
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# ================================================================
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# services/data/tests/test_data.py
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# ================================================================
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"""Integration tests for data service"""
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import pytest
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from fastapi.testclient import TestClient
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from sqlalchemy.ext.asyncio import AsyncSession
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from datetime import datetime, timedelta
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import uuid
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from app.services.sales_service import SalesService
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from app.services.weather_service import WeatherService
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from app.services.traffic_service import TrafficService
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from app.schemas.sales import SalesDataCreate, SalesDataQuery
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@pytest.mark.asyncio
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async def test_create_sales_record(db: AsyncSession, test_tenant_id, test_sales_data):
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"""Test creating a sales record"""
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sales_data = SalesDataCreate(
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tenant_id=test_tenant_id,
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**test_sales_data
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)
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record = await SalesService.create_sales_record(sales_data, db)
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assert record.id is not None
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assert record.tenant_id == test_tenant_id
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assert record.product_name == test_sales_data["product_name"]
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assert record.quantity_sold == test_sales_data["quantity_sold"]
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@pytest.mark.asyncio
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async def test_query_sales_data(db: AsyncSession, test_tenant_id, test_sales_data):
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"""Test querying sales data"""
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# Create test record
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sales_data = SalesDataCreate(
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tenant_id=test_tenant_id,
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**test_sales_data
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)
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await SalesService.create_sales_record(sales_data, db)
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# Query data
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query = SalesDataQuery(
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tenant_id=test_tenant_id,
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start_date=datetime.now() - timedelta(days=1),
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end_date=datetime.now() + timedelta(days=1)
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)
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records = await SalesService.get_sales_data(query, db)
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assert len(records) == 1
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assert records[0].product_name == test_sales_data["product_name"]
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@pytest.mark.asyncio
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async def test_csv_import():
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"""Test CSV data import"""
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csv_content = """date,product,quantity,revenue
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2024-01-15,Pan Integral,25,37.50
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2024-01-15,Croissant,15,22.50"""
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# This would normally use the database, but we're testing the parsing logic
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import io
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import pandas as pd
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csv_file = io.StringIO(csv_content)
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df = pd.read_csv(csv_file)
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assert len(df) == 2
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assert df.iloc[0]['product'] == 'Pan Integral'
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assert df.iloc[0]['quantity'] == 25
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@pytest.mark.asyncio
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async def test_weather_service():
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"""Test weather service"""
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weather_service = WeatherService()
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# Test current weather (should return synthetic data)
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current = await weather_service.get_current_weather(40.4168, -3.7038)
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assert current is not None
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assert current.temperature is not None
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assert current.source in ['aemet', 'synthetic']
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@pytest.mark.asyncio
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async def test_traffic_service():
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"""Test traffic service"""
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traffic_service = TrafficService()
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# Test current traffic (should return synthetic data)
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current = await traffic_service.get_current_traffic(40.4168, -3.7038)
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assert current is not None
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assert current.traffic_volume is not None
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assert current.congestion_level in ['low', 'medium', 'high']
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@@ -1,87 +0,0 @@
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# ================================================================
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# services/data/tests/test_external.py
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# ================================================================
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"""Tests for external API clients"""
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import pytest
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from unittest.mock import AsyncMock, patch
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from datetime import datetime, timedelta
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from app.external.aemet import AEMETClient
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from app.external.madrid_opendata import MadridOpenDataClient
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@pytest.mark.asyncio
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async def test_aemet_client_synthetic_weather():
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"""Test AEMET client synthetic weather generation"""
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client = AEMETClient()
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weather = await client._generate_synthetic_weather()
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assert weather is not None
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assert 'temperature' in weather
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assert 'precipitation' in weather
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assert 'humidity' in weather
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assert weather['source'] == 'synthetic'
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@pytest.mark.asyncio
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async def test_aemet_client_synthetic_forecast():
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"""Test AEMET client synthetic forecast"""
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client = AEMETClient()
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forecast = await client._generate_synthetic_forecast(7)
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assert len(forecast) == 7
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assert all('forecast_date' in item for item in forecast)
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assert all('temperature' in item for item in forecast)
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assert all(item['source'] == 'synthetic' for item in forecast)
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@pytest.mark.asyncio
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async def test_madrid_client_synthetic_traffic():
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"""Test Madrid Open Data client synthetic traffic"""
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client = MadridOpenDataClient()
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traffic = await client._generate_synthetic_traffic(40.4168, -3.7038)
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assert traffic is not None
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assert 'traffic_volume' in traffic
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assert 'pedestrian_count' in traffic
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assert 'congestion_level' in traffic
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assert traffic['congestion_level'] in ['low', 'medium', 'high']
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@pytest.mark.asyncio
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async def test_madrid_client_historical_traffic():
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"""Test Madrid Open Data client historical traffic"""
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client = MadridOpenDataClient()
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start_date = datetime.now() - timedelta(days=7)
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end_date = datetime.now()
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historical = await client._generate_historical_traffic(
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40.4168, -3.7038, start_date, end_date
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)
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assert len(historical) > 0
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assert all('traffic_volume' in item for item in historical)
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assert all('date' in item for item in historical)
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@pytest.mark.asyncio
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async def test_distance_calculation():
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"""Test distance calculation in AEMET client"""
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client = AEMETClient()
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# Distance between Madrid Centro and Madrid Norte (approximately)
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distance = client._calculate_distance(40.4168, -3.7038, 40.4518, -3.7246)
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# Should be roughly 4-5 km
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assert 3 < distance < 6
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@pytest.mark.asyncio
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async def test_madrid_area_detection():
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"""Test Madrid area detection"""
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client = AEMETClient()
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# Madrid coordinates should be detected as Madrid area
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assert client._is_in_madrid_area(40.4168, -3.7038) == True
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# Barcelona coordinates should not
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assert client._is_in_madrid_area(41.3851, 2.1734) == False
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