chore: release v1.10.2

Enhanced environment endpoint logging for debugging user resolution.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

CHANGELOG.md

@@ -5,6 +5,53 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [1.10.2] - 2026-01-07
+
+### Changed
+
+- **Enhanced environment endpoint logging** - Added detailed user claim logging for debugging
+  - Logs both `preferred_username` and `sub` claims when resolving user
+  - Distinguishes between authenticated and unauthenticated requests
+
+## [1.10.1] - 2026-01-06
+
+### Fixed
+
+- Fix OIDC import path in tools controller (`src.oidc.dependencies` → `src.auth.oidc`)
+  - Environment endpoint was returning `user: "local"` instead of authenticated username
+  - Caused queries to wrong Qdrant collection (`volatile_local` vs `volatile_{username}`)
+
+## [1.10.0] - 2026-01-06
+
+### Added
+
+- **Environment Data API** - Qdrant-backed endpoint for weather, forecast, and sun position data
+  - `GET /tools/environment` - Fetch environment data from user's volatile collection
+  - Weather: current temperature, conditions, humidity, wind speed
+  - Forecast: multi-day outlook with high/low temperatures
+  - Sun times: sunrise, sunset, daylight duration
+  - Air quality: AQI and quality level (when available)
+  - Data sourced from `volatile_{user}` Qdrant collection
+  - Uses `preferred_username` from OIDC, falls back to `default`
+- `qdrant-client` dependency for vector database access
+- `QdrantReadClient` wrapper for read-only collection queries
+- Comprehensive test suite for environment service parsing
+
+## [1.9.4] - 2026-01-04
+
+### Fixed
+
+- Fix SQLAlchemy async lazy loading error for new users in `/auth/sync`
+  - Initialize `user.roles = []` and `user.preferences` to avoid greenlet error
+  - Was causing "MissingGreenlet: greenlet_spawn has not been called" on new user creation
+
+## [1.9.3] - 2026-01-04
+
+### Fixed
+
+- Handle non-UUID `sub` claim in `/auth/sync` - Authentik JWT may return non-UUID subject identifiers
+  - Now derives deterministic UUID from sub string if direct parsing fails
+
 ## [1.9.2] - 2026-01-04
 
 ### Fixed

npm-config.conf

@@ -0,0 +1,12 @@
+proxy_buffers 8 16k;
+proxy_buffer_size 32k;
+
+# CORS headers for Flutter web
+add_header Access-Control-Allow-Origin "https://home.schweitz.net" always;
+add_header Access-Control-Allow-Credentials true always;
+add_header Access-Control-Allow-Methods "GET, POST, PUT, DELETE, PATCH, OPTIONS" always;
+add_header Access-Control-Allow-Headers "Content-Type, Authorization" always;
+
+if ($request_method = OPTIONS) {
+    return 204;
+}

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "core-api"
-version = "1.9.2"
+version = "1.10.2"
 description = "Core Code API - Infrastructure management and tools API"
 readme = "README.md"
 requires-python = ">=3.12"

requirements.txt

@@ -32,3 +32,6 @@ cryptography>=44.0.1  # CVE-2024-12797
 sqlalchemy[asyncio]~=2.0.0
 asyncpg>=0.30.0
 alembic~=1.13.0
+
+# Vector Database
+qdrant-client>=1.9.0

src/controllers/tools_controller.py

@@ -3,14 +3,20 @@ Tools Controller
 
 Provides utility tool endpoints including:
 - DNS lookups
+- Environment data (weather, forecast, sun times, air quality)
 """
-from fastapi import APIRouter, HTTPException, status
+from typing import Dict, Optional
+
+from fastapi import APIRouter, Depends, HTTPException, status
 
 from src.controllers.base import BaseController
 from src.logging_config import get_logger
 from src.dns.schemas import DNSLookupRequest, DNSLookupResponse
 from src.dns.service import DNSService
 from src.dns.exceptions import DNSQueryError
+from src.domains.tools.environment.schemas import EnvironmentResponse
+from src.domains.tools.environment.service import get_environment_service
+from src.auth.oidc import get_optional_user
 
 logger = get_logger(__name__)
 
@@ -26,6 +32,7 @@ class ToolsController(BaseController):
     def __init__(self):
         super().__init__(prefix="/tools", tags=["Tools"])
         self.dns_service = DNSService()
+        self.environment_service = get_environment_service()
 
     def create_router(self) -> APIRouter:
         """Create and configure the router"""
@@ -95,6 +102,60 @@ class ToolsController(BaseController):
                     detail="An unexpected error occurred during DNS lookup"
                 )
 
+        @router.get(
+            "/environment",
+            response_model=EnvironmentResponse,
+            status_code=status.HTTP_200_OK,
+            summary="Get environment data",
+            description="""
+            Fetch current environment data including weather, forecast, sun times,
+            and optionally air quality.
+
+            Data is retrieved from the user's volatile Qdrant collection which is
+            populated by background data collectors.
+
+            **Data Sources:**
+            - Weather: Current temperature, conditions, humidity, wind
+            - Forecast: Multi-day weather outlook
+            - Sun Times: Sunrise, sunset, daylight duration
+            - Air Quality: AQI and pollutant levels (when available)
+
+            **Authentication:**
+            - Uses authenticated user's `preferred_username` if available
+            - Falls back to 'default' for unauthenticated requests
+            """
+        )
+        async def get_environment(
+            user: Optional[Dict] = Depends(get_optional_user),
+        ) -> EnvironmentResponse:
+            """
+            Get current environment data.
+
+            Args:
+                user: Optional authenticated user info
+
+            Returns:
+                Environment data with weather, forecast, sun times, and air quality
+            """
+            try:
+                # Determine user identifier
+                user_id = "default"
+                if user:
+                    logger.debug(f"User claims: {user}")
+                    user_id = user.get("preferred_username") or user.get("sub", "default")
+                    logger.info(f"Fetching environment data for user: {user_id} (preferred_username={user.get('preferred_username')}, sub={user.get('sub')})")
+                else:
+                    logger.info(f"Fetching environment data for user: {user_id} (no auth)")
+                result = await self.environment_service.get_current(user_id)
+                return result
+
+            except Exception as e:
+                logger.error(f"Error fetching environment data: {str(e)}", exc_info=True)
+                raise HTTPException(
+                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail="Failed to fetch environment data"
+                )
+
         return router
 
 

src/domains/auth/controller.py

@@ -322,7 +322,6 @@ class AuthController(BaseController):
             responses={
                 200: {"description": "User profile with roles and preferences"},
                 401: {"description": "Not authenticated"},
-                404: {"description": "User not found in database"},
             },
         )
         async def get_current_user_profile(
@@ -333,11 +332,16 @@ class AuthController(BaseController):
             Get the current authenticated user's profile
 
             Returns the user's profile, roles, and preferences.
-            Requires authentication via Bearer token or API key.
+            Supports both:
+            - Bearer token (mobile/native clients)
+            - NPM forward auth headers (web clients via proxy)
+
+            For forward auth users, auto-creates the user in the database
+            if they don't exist yet (first login via web).
             """
             service = AuthService(session)
 
-            # Get authentik_id from claims (JWT 'sub' field)
+            # Get authentik_id from claims (JWT 'sub' field or forward auth 'uid')
             authentik_id_str = user_claims.get("sub")
             if not authentik_id_str or authentik_id_str == "local-user":
                 raise HTTPException(status_code=401, detail="Authentication required")
@@ -348,7 +352,23 @@ class AuthController(BaseController):
                 raise HTTPException(status_code=401, detail="Invalid user identifier")
 
             user = await service.get_user_by_authentik_id(authentik_id)
+
+            # If user not found and using forward auth, auto-create them
             if user is None:
+                auth_method = user_claims.get("auth_method")
+                if auth_method == "forward_auth":
+                    # Auto-sync user from forward auth headers
+                    logger.info(f"Auto-creating user from forward auth: {user_claims.get('email')}")
+                    user, is_new = await service.sync_user_from_claims(
+                        authentik_id=authentik_id,
+                        email=user_claims.get("email", ""),
+                        name=user_claims.get("name", user_claims.get("preferred_username", "")),
+                        groups=user_claims.get("groups", []),
+                    )
+                    await session.commit()
+                    await session.refresh(user, ["preferences", "roles"])
+                else:
+                    # JWT auth but user not in DB - they need to sync first
                     raise HTTPException(
                         status_code=404,
                         detail="User not found - please sync via /auth/sync first",

src/domains/auth/service.py

@@ -102,7 +102,13 @@ class AuthService:
         Returns:
             Tuple of (User, is_new_user)
         """
+        # Parse authentik_id - may be UUID or other format
+        try:
             authentik_id = uuid.UUID(token_info.sub)
+        except ValueError:
+            # If sub is not a valid UUID, derive one deterministically
+            logger.warning(f"sub claim is not a UUID: {token_info.sub}, deriving UUID")
+            authentik_id = uuid.uuid5(uuid.NAMESPACE_OID, token_info.sub)
 
         # Try to find existing user
         stmt = (
@@ -124,11 +130,14 @@ class AuthService:
                 avatar_url=token_info.picture,
                 last_login=datetime.now(timezone.utc),
             )
+            # Initialize relationships to avoid lazy loading issues in async
+            user.roles = []
             self.session.add(user)
             await self.session.flush()  # Get the user ID
 
-            # Create default preferences
+            # Create default preferences and attach to user
             preferences = UserPreferences(user_id=user.id)
+            user.preferences = preferences
             self.session.add(preferences)
 
             logger.info(f"Created new user: {token_info.email}")
@@ -144,6 +153,74 @@ class AuthService:
         await self.session.flush()
         return user, is_new
 
+    async def sync_user_from_claims(
+        self,
+        authentik_id: uuid.UUID,
+        email: str,
+        name: str,
+        groups: list[str],
+        avatar_url: Optional[str] = None,
+    ) -> tuple[User, bool]:
+        """
+        Create or update user from forward auth claims (NPM X-authentik-* headers)
+
+        This is similar to sync_user() but works with raw claims instead of
+        TokenInfoSchema. Used for auto-syncing users on first web login via NPM.
+
+        Args:
+            authentik_id: The Authentik user UUID (from X-authentik-uid)
+            email: User email (from X-authentik-email)
+            name: User display name (from X-authentik-name)
+            groups: List of group names (from X-authentik-groups)
+            avatar_url: Optional avatar URL
+
+        Returns:
+            Tuple of (User, is_new_user)
+        """
+        # Try to find existing user
+        stmt = (
+            select(User)
+            .options(selectinload(User.roles), selectinload(User.preferences))
+            .where(User.authentik_id == authentik_id)
+        )
+        result = await self.session.execute(stmt)
+        user = result.scalar_one_or_none()
+
+        is_new = user is None
+
+        if is_new:
+            # Create new user
+            user = User(
+                authentik_id=authentik_id,
+                email=email,
+                name=name or email,
+                avatar_url=avatar_url,
+                last_login=datetime.now(timezone.utc),
+            )
+            self.session.add(user)
+            await self.session.flush()  # Get the user ID
+
+            # Create default preferences
+            preferences = UserPreferences(user_id=user.id)
+            self.session.add(preferences)
+
+            logger.info(f"Created new user from forward auth: {email}")
+        else:
+            # Update existing user
+            user.email = email
+            user.name = name or email
+            if avatar_url:
+                user.avatar_url = avatar_url
+            user.last_login = datetime.now(timezone.utc)
+
+            logger.info(f"Updated existing user from forward auth: {email}")
+
+        # Sync roles from groups
+        await self.sync_roles(user, groups)
+
+        await self.session.flush()
+        return user, is_new
+
     async def sync_roles(self, user: User, group_names: list[str]) -> list[Role]:
         """
         Synchronize user roles from Authentik groups via group_roles mapping

src/domains/tools/controller.py

@@ -4,8 +4,10 @@ Tools Controller
 Provides utility tool endpoints including:
 - DNS lookups
 - System stats
+- Environment data (weather, forecast, sun times)
 """
-from fastapi import APIRouter, HTTPException, status
+from typing import Dict, Optional
+from fastapi import APIRouter, HTTPException, status, Depends
 
 from src.shared.base import BaseController
 from src.shared.logging import get_logger
@@ -14,6 +16,9 @@ from src.domains.tools.dns.service import DNSService
 from src.domains.tools.dns.exceptions import DNSQueryError
 from src.domains.tools.system.schemas import SystemStatsResponse
 from src.domains.tools.system.service import SystemStatsService
+from src.domains.tools.environment.schemas import EnvironmentResponse
+from src.domains.tools.environment.service import EnvironmentService
+from src.domains.auth.oidc import get_optional_user
 
 logger = get_logger(__name__)
 
@@ -25,12 +30,14 @@ class ToolsController(BaseController):
     Provides endpoints for:
     - DNS lookups
     - System stats
+    - Environment data (weather, forecast, sun times)
     """
 
     def __init__(self):
         super().__init__(prefix="/tools", tags=["Tools"])
         self.dns_service = DNSService()
         self.system_stats_service = SystemStatsService()
+        self.environment_service = EnvironmentService()
 
     def create_router(self) -> APIRouter:
         """Create and configure the router"""
@@ -146,6 +153,63 @@ class ToolsController(BaseController):
                     detail=f"Failed to collect system stats: {str(e)}"
                 )
 
+        @router.get(
+            "/environment",
+            response_model=EnvironmentResponse,
+            status_code=status.HTTP_200_OK,
+            summary="Get environment data",
+            description="""
+            Get current environment data including weather, forecast, and sun times.
+
+            Fetches data from the Qdrant volatile collection for the authenticated user.
+            Falls back to 'default' user if not authenticated.
+
+            **Data Returned:**
+            - **Weather:** Current temperature, conditions, humidity, wind
+            - **Forecast:** Multi-day weather outlook
+            - **Sun Times:** Sunrise, sunset, daylight duration
+            - **Air Quality:** AQI and pollutant levels (if available)
+
+            **Data Source:** Qdrant volatile_{user} collection
+
+            **Use Cases:**
+            - Dashboard environment widgets
+            - Home automation context
+            - Weather-based automations
+            """
+        )
+        async def get_environment(
+            user: Optional[Dict] = Depends(get_optional_user),
+        ) -> EnvironmentResponse:
+            """
+            Get current environment data
+
+            Args:
+                user: Optional authenticated user from OIDC
+
+            Returns:
+                Environment data including weather, forecast, sun times
+
+            Raises:
+                HTTPException: 500 for processing errors
+            """
+            try:
+                # Get user identifier from OIDC claims, fallback to 'default'
+                user_id = "default"
+                if user:
+                    user_id = user.get("preferred_username") or user.get("sub", "default")
+
+                logger.info(f"Fetching environment data for user: {user_id}")
+                result = await self.environment_service.get_current(user_id)
+                return result
+
+            except Exception as e:
+                logger.error(f"Failed to get environment data: {str(e)}", exc_info=True)
+                raise HTTPException(
+                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail=f"Failed to fetch environment data: {str(e)}"
+                )
+
         return router
 
 

src/domains/tools/environment/__init__.py

@@ -0,0 +1,23 @@
+"""
+Environment data module for Tools domain.
+
+Provides access to weather, forecast, sun times, and air quality data
+from the Qdrant volatile collection.
+"""
+from src.domains.tools.environment.schemas import (
+    WeatherData,
+    ForecastDay,
+    SunTimesData,
+    AirQualityData,
+    EnvironmentResponse,
+)
+from src.domains.tools.environment.service import EnvironmentService
+
+__all__ = [
+    "WeatherData",
+    "ForecastDay",
+    "SunTimesData",
+    "AirQualityData",
+    "EnvironmentResponse",
+    "EnvironmentService",
+]

src/domains/tools/environment/schemas.py

@@ -0,0 +1,185 @@
+"""
+Environment data schemas for Tools domain.
+
+Provides Pydantic models for weather, forecast, sun times, and air quality data
+retrieved from the Qdrant volatile collection.
+"""
+from datetime import datetime
+from typing import Optional, List, Any
+from pydantic import Field
+
+from src.shared.base import BaseSchema
+
+
+class WeatherData(BaseSchema):
+    """Current weather conditions."""
+
+    temperature: Optional[float] = Field(
+        None,
+        description="Current temperature in Celsius"
+    )
+    feels_like: Optional[float] = Field(
+        None,
+        description="Feels-like temperature in Celsius"
+    )
+    conditions: Optional[str] = Field(
+        None,
+        description="Weather conditions description (e.g., 'Partly Cloudy')"
+    )
+    humidity: Optional[int] = Field(
+        None,
+        ge=0,
+        le=100,
+        description="Humidity percentage"
+    )
+    wind_speed: Optional[float] = Field(
+        None,
+        description="Wind speed in km/h"
+    )
+    wind_direction: Optional[str] = Field(
+        None,
+        description="Wind direction (e.g., 'NW')"
+    )
+    pressure: Optional[float] = Field(
+        None,
+        description="Atmospheric pressure in hPa"
+    )
+    visibility: Optional[float] = Field(
+        None,
+        description="Visibility in km"
+    )
+    uv_index: Optional[float] = Field(
+        None,
+        description="UV index"
+    )
+    location: Optional[str] = Field(
+        None,
+        description="Location name"
+    )
+    icon: Optional[str] = Field(
+        None,
+        description="Weather icon code or URL"
+    )
+
+
+class ForecastDay(BaseSchema):
+    """Single day forecast data."""
+
+    date: str = Field(
+        ...,
+        description="Date string (e.g., '2025-01-07')"
+    )
+    high: Optional[float] = Field(
+        None,
+        description="High temperature in Celsius"
+    )
+    low: Optional[float] = Field(
+        None,
+        description="Low temperature in Celsius"
+    )
+    conditions: Optional[str] = Field(
+        None,
+        description="Weather conditions description"
+    )
+    precipitation_chance: Optional[int] = Field(
+        None,
+        ge=0,
+        le=100,
+        description="Chance of precipitation percentage"
+    )
+    icon: Optional[str] = Field(
+        None,
+        description="Weather icon code or URL"
+    )
+
+
+class SunTimesData(BaseSchema):
+    """Sunrise and sunset times."""
+
+    sunrise: Optional[datetime] = Field(
+        None,
+        description="Sunrise time"
+    )
+    sunset: Optional[datetime] = Field(
+        None,
+        description="Sunset time"
+    )
+    daylight_minutes: Optional[int] = Field(
+        None,
+        description="Total daylight duration in minutes"
+    )
+    solar_noon: Optional[datetime] = Field(
+        None,
+        description="Solar noon time"
+    )
+    dawn: Optional[datetime] = Field(
+        None,
+        description="Civil dawn time"
+    )
+    dusk: Optional[datetime] = Field(
+        None,
+        description="Civil dusk time"
+    )
+
+
+class AirQualityData(BaseSchema):
+    """Air quality information."""
+
+    aqi: Optional[int] = Field(
+        None,
+        ge=0,
+        description="Air Quality Index"
+    )
+    quality: Optional[str] = Field(
+        None,
+        description="Quality category (Good, Moderate, Unhealthy, etc.)"
+    )
+    pm25: Optional[float] = Field(
+        None,
+        description="PM2.5 concentration in microg/m3"
+    )
+    pm10: Optional[float] = Field(
+        None,
+        description="PM10 concentration in microg/m3"
+    )
+    o3: Optional[float] = Field(
+        None,
+        description="Ozone concentration in ppb"
+    )
+    no2: Optional[float] = Field(
+        None,
+        description="Nitrogen dioxide concentration in ppb"
+    )
+    location: Optional[str] = Field(
+        None,
+        description="Location name"
+    )
+
+
+class EnvironmentResponse(BaseSchema):
+    """Combined environment data response."""
+
+    weather: Optional[WeatherData] = Field(
+        None,
+        description="Current weather conditions"
+    )
+    forecast: Optional[List[ForecastDay]] = Field(
+        None,
+        description="Multi-day weather forecast"
+    )
+    sun_times: Optional[SunTimesData] = Field(
+        None,
+        description="Sunrise/sunset times"
+    )
+    air_quality: Optional[AirQualityData] = Field(
+        None,
+        description="Air quality data (None if not available)"
+    )
+    updated_at: datetime = Field(
+        default_factory=datetime.utcnow,
+        description="Timestamp when data was fetched"
+    )
+    user: Optional[str] = Field(
+        None,
+        description="User identifier used for data lookup"
+    )

src/domains/tools/environment/service.py

@@ -0,0 +1,246 @@
+"""
+Environment data service for Tools domain.
+
+Fetches weather, forecast, sun times, and air quality data from
+the Qdrant volatile collection.
+"""
+from datetime import datetime
+from typing import Optional, Dict, Any, List
+
+from src.shared.logging import get_logger
+from src.shared.clients.qdrant_client import get_qdrant_client
+from src.domains.tools.environment.schemas import (
+    WeatherData,
+    ForecastDay,
+    SunTimesData,
+    AirQualityData,
+    EnvironmentResponse,
+)
+
+logger = get_logger(__name__)
+
+
+class EnvironmentService:
+    """
+    Service for fetching environment data from Qdrant volatile collection.
+
+    Retrieves weather, forecast, sun times, and optionally air quality
+    data for a specific user.
+    """
+
+    def __init__(self):
+        """Initialize environment service with Qdrant client."""
+        self.qdrant = get_qdrant_client()
+
+    def _parse_weather(self, raw_data: Optional[Dict[str, Any]]) -> Optional[WeatherData]:
+        """
+        Parse raw weather data into WeatherData schema.
+
+        Handles various field naming conventions that might come from
+        different weather APIs.
+        """
+        if not raw_data:
+            return None
+
+        try:
+            return WeatherData(
+                temperature=raw_data.get("temperature") or raw_data.get("temp"),
+                feels_like=raw_data.get("feels_like") or raw_data.get("feelslike"),
+                conditions=raw_data.get("conditions") or raw_data.get("weather") or raw_data.get("description"),
+                humidity=raw_data.get("humidity"),
+                wind_speed=raw_data.get("wind_speed") or raw_data.get("windspeed") or raw_data.get("wind"),
+                wind_direction=raw_data.get("wind_direction") or raw_data.get("wind_dir"),
+                pressure=raw_data.get("pressure"),
+                visibility=raw_data.get("visibility"),
+                uv_index=raw_data.get("uv_index") or raw_data.get("uv"),
+                location=raw_data.get("location") or raw_data.get("city"),
+                icon=raw_data.get("icon") or raw_data.get("icon_url"),
+            )
+        except Exception as e:
+            logger.warning(f"Failed to parse weather data: {e}")
+            return None
+
+    def _parse_forecast(self, raw_data: Any) -> Optional[List[ForecastDay]]:
+        """
+        Parse raw forecast data into list of ForecastDay schemas.
+
+        Handles both list format and dict with nested list.
+        """
+        if not raw_data:
+            return None
+
+        try:
+            # Normalize to list
+            forecast_list = raw_data
+            if isinstance(raw_data, dict):
+                forecast_list = raw_data.get("days") or raw_data.get("forecast") or []
+
+            if not isinstance(forecast_list, list):
+                return None
+
+            days = []
+            for day in forecast_list:
+                if isinstance(day, dict):
+                    days.append(ForecastDay(
+                        date=day.get("date", ""),
+                        high=day.get("high") or day.get("maxtemp") or day.get("temp_max"),
+                        low=day.get("low") or day.get("mintemp") or day.get("temp_min"),
+                        conditions=day.get("conditions") or day.get("weather") or day.get("description"),
+                        precipitation_chance=day.get("precipitation_chance") or day.get("pop") or day.get("precip"),
+                        icon=day.get("icon"),
+                    ))
+
+            return days if days else None
+
+        except Exception as e:
+            logger.warning(f"Failed to parse forecast data: {e}")
+            return None
+
+    def _parse_sun_times(self, raw_data: Optional[Dict[str, Any]]) -> Optional[SunTimesData]:
+        """
+        Parse raw sun times data into SunTimesData schema.
+
+        Handles datetime strings and calculates daylight minutes if not provided.
+        """
+        if not raw_data:
+            return None
+
+        try:
+            sunrise = raw_data.get("sunrise")
+            sunset = raw_data.get("sunset")
+
+            # Parse datetime strings if needed
+            if isinstance(sunrise, str):
+                sunrise = datetime.fromisoformat(sunrise.replace("Z", "+00:00"))
+            if isinstance(sunset, str):
+                sunset = datetime.fromisoformat(sunset.replace("Z", "+00:00"))
+
+            # Calculate daylight minutes if not provided
+            daylight_minutes = raw_data.get("daylight_minutes") or raw_data.get("daylight")
+            if daylight_minutes is None and sunrise and sunset:
+                daylight_minutes = int((sunset - sunrise).total_seconds() / 60)
+
+            # Parse optional fields
+            solar_noon = raw_data.get("solar_noon")
+            if isinstance(solar_noon, str):
+                solar_noon = datetime.fromisoformat(solar_noon.replace("Z", "+00:00"))
+
+            dawn = raw_data.get("dawn") or raw_data.get("civil_dawn")
+            if isinstance(dawn, str):
+                dawn = datetime.fromisoformat(dawn.replace("Z", "+00:00"))
+
+            dusk = raw_data.get("dusk") or raw_data.get("civil_dusk")
+            if isinstance(dusk, str):
+                dusk = datetime.fromisoformat(dusk.replace("Z", "+00:00"))
+
+            return SunTimesData(
+                sunrise=sunrise,
+                sunset=sunset,
+                daylight_minutes=daylight_minutes,
+                solar_noon=solar_noon,
+                dawn=dawn,
+                dusk=dusk,
+            )
+
+        except Exception as e:
+            logger.warning(f"Failed to parse sun times data: {e}")
+            return None
+
+    def _parse_air_quality(self, raw_data: Any) -> Optional[AirQualityData]:
+        """
+        Parse raw air quality data into AirQualityData schema.
+
+        Handles both dict format and simple integer AQI value.
+        """
+        if raw_data is None:
+            return None
+
+        try:
+            # Handle simple integer AQI
+            if isinstance(raw_data, (int, float)):
+                aqi = int(raw_data)
+                return AirQualityData(
+                    aqi=aqi,
+                    quality=self._aqi_to_quality(aqi),
+                )
+
+            if not isinstance(raw_data, dict):
+                return None
+
+            aqi = raw_data.get("aqi") or raw_data.get("index")
+            if isinstance(aqi, (int, float)):
+                aqi = int(aqi)
+
+            return AirQualityData(
+                aqi=aqi,
+                quality=raw_data.get("quality") or (self._aqi_to_quality(aqi) if aqi else None),
+                pm25=raw_data.get("pm25") or raw_data.get("pm2_5"),
+                pm10=raw_data.get("pm10"),
+                o3=raw_data.get("o3") or raw_data.get("ozone"),
+                no2=raw_data.get("no2"),
+                location=raw_data.get("location"),
+            )
+
+        except Exception as e:
+            logger.warning(f"Failed to parse air quality data: {e}")
+            return None
+
+    def _aqi_to_quality(self, aqi: int) -> str:
+        """Convert AQI value to quality category string."""
+        if aqi <= 50:
+            return "Good"
+        elif aqi <= 100:
+            return "Moderate"
+        elif aqi <= 150:
+            return "Unhealthy for Sensitive Groups"
+        elif aqi <= 200:
+            return "Unhealthy"
+        elif aqi <= 300:
+            return "Very Unhealthy"
+        else:
+            return "Hazardous"
+
+    async def get_current(self, user: str = "default") -> EnvironmentResponse:
+        """
+        Get current environment data for a user.
+
+        Fetches weather, forecast, sun times, and air quality from
+        the user's volatile collection.
+
+        Args:
+            user: User identifier (default: 'default')
+
+        Returns:
+            EnvironmentResponse with all available data
+        """
+        logger.info(f"Fetching environment data for user: {user}")
+
+        # Get raw data from Qdrant
+        raw_data = await self.qdrant.get_environment_data(user)
+
+        # Parse each data type
+        weather = self._parse_weather(raw_data.get("weather"))
+        forecast = self._parse_forecast(raw_data.get("forecast"))
+        sun_times = self._parse_sun_times(raw_data.get("sun_times"))
+        air_quality = self._parse_air_quality(raw_data.get("air_quality"))
+
+        return EnvironmentResponse(
+            weather=weather,
+            forecast=forecast,
+            sun_times=sun_times,
+            air_quality=air_quality,
+            updated_at=datetime.utcnow(),
+            user=user,
+        )
+
+
+# Singleton instance
+_environment_service: Optional[EnvironmentService] = None
+
+
+def get_environment_service() -> EnvironmentService:
+    """Get or create singleton environment service instance."""
+    global _environment_service
+    if _environment_service is None:
+        _environment_service = EnvironmentService()
+    return _environment_service

src/shared/clients/__init__.py

@@ -7,6 +7,7 @@ from src.shared.clients.portainer_client import PortainerClient, get_portainer_c
 from src.shared.clients.npm_client import NPMClient, get_npm_client
 from src.shared.clients.homeassistant_client import HomeAssistantClient, get_homeassistant_client
 from src.shared.clients.authentik_client import AuthentikClient, get_authentik_client
+from src.shared.clients.qdrant_client import QdrantReadClient, get_qdrant_client
 
 __all__ = [
     "PortainerClient",
@@ -17,4 +18,6 @@ __all__ = [
     "get_homeassistant_client",
     "AuthentikClient",
     "get_authentik_client",
+    "QdrantReadClient",
+    "get_qdrant_client",
 ]

src/shared/clients/qdrant_client.py

@@ -0,0 +1,258 @@
+"""
+Qdrant Vector Database Client (Read-Only)
+
+Provides read-only access to Qdrant collections for querying volatile data.
+Used to fetch weather, forecast, and sun times from the volatile_{user} collection.
+"""
+import time
+from typing import List, Dict, Any, Optional
+from qdrant_client import QdrantClient
+from qdrant_client.models import Filter, FieldCondition, MatchValue, Range
+
+from src.shared.logging import get_logger
+from src.shared.config import get_settings
+
+logger = get_logger(__name__)
+settings = get_settings()
+
+
+class QdrantReadClient:
+    """
+    Read-only Qdrant client for accessing volatile data.
+
+    Connects to Qdrant and provides methods to query collections
+    with filtering by namespace and TTL expiry.
+    """
+
+    VOLATILE_COLLECTION_PREFIX = "volatile_"
+
+    def __init__(
+        self,
+        host: Optional[str] = None,
+        port: Optional[int] = None,
+    ):
+        """
+        Initialize Qdrant read client.
+
+        Args:
+            host: Qdrant server host (default from settings)
+            port: Qdrant server port (default from settings)
+        """
+        self.host = host or settings.qdrant_host
+        self.port = port or settings.qdrant_port
+        self._client: Optional[QdrantClient] = None
+
+        logger.info(f"Initialized QdrantReadClient: {self.host}:{self.port}")
+
+    @property
+    def client(self) -> QdrantClient:
+        """Lazy-load Qdrant client connection."""
+        if self._client is None:
+            self._client = QdrantClient(
+                host=self.host,
+                port=self.port,
+            )
+        return self._client
+
+    def _get_volatile_collection(self, user: str) -> str:
+        """Get volatile collection name for user."""
+        return f"{self.VOLATILE_COLLECTION_PREFIX}{user}"
+
+    def _current_timestamp_ms(self) -> int:
+        """Get current timestamp in milliseconds."""
+        return int(time.time() * 1000)
+
+    async def collection_exists(self, collection_name: str) -> bool:
+        """
+        Check if a collection exists.
+
+        Args:
+            collection_name: Name of collection to check
+
+        Returns:
+            True if collection exists
+        """
+        try:
+            collections = self.client.get_collections()
+            existing = [c.name for c in collections.collections]
+            return collection_name in existing
+        except Exception as e:
+            logger.error(f"Error checking collection existence: {e}")
+            return False
+
+    async def get_by_namespace(
+        self,
+        user: str,
+        namespace: str,
+        include_expired: bool = False
+    ) -> List[Dict[str, Any]]:
+        """
+        Get all records for a specific namespace from user's volatile collection.
+
+        Args:
+            user: User identifier (e.g., 'jpmschweitzer' or 'default')
+            namespace: Namespace to filter (e.g., 'weather', 'forecast', 'sun')
+            include_expired: Whether to include expired records (default False)
+
+        Returns:
+            List of records with payload data
+        """
+        collection_name = self._get_volatile_collection(user)
+
+        if not await self.collection_exists(collection_name):
+            logger.debug(f"Collection {collection_name} does not exist")
+            return []
+
+        # Build filter conditions
+        conditions = [
+            FieldCondition(
+                key="namespace",
+                match=MatchValue(value=namespace)
+            )
+        ]
+
+        # Add TTL expiry filter unless including expired
+        if not include_expired:
+            now_ms = self._current_timestamp_ms()
+            conditions.append(
+                FieldCondition(
+                    key="ttl_expiry",
+                    range=Range(gt=now_ms)
+                )
+            )
+
+        query_filter = Filter(must=conditions)
+
+        try:
+            # Scroll through matching records
+            points, _ = self.client.scroll(
+                collection_name=collection_name,
+                scroll_filter=query_filter,
+                limit=100,
+                with_payload=True,
+                with_vectors=False
+            )
+
+            results = []
+            for point in points:
+                payload = dict(point.payload) if point.payload else {}
+                results.append({
+                    "id": str(point.id),
+                    "namespace": payload.get("namespace"),
+                    "key": payload.get("key"),
+                    "raw_data": payload.get("raw_data", {}),
+                    "source": payload.get("source"),
+                    "ttl_expiry": payload.get("ttl_expiry"),
+                    "updated_at": payload.get("updated_at"),
+                })
+
+            logger.debug(
+                f"Found {len(results)} records in {collection_name}/{namespace}"
+            )
+            return results
+
+        except Exception as e:
+            logger.error(f"Error fetching from {collection_name}/{namespace}: {e}")
+            return []
+
+    async def get_environment_data(
+        self,
+        user: str
+    ) -> Dict[str, Any]:
+        """
+        Get all environment data (weather, forecast, sun times) for a user.
+
+        Convenience method that fetches all environment-related namespaces
+        in a single call.
+
+        Args:
+            user: User identifier
+
+        Returns:
+            Dict with 'weather', 'forecast', 'sun_times', 'air_quality' keys
+            (each may be None if no data found)
+        """
+        result = {
+            "weather": None,
+            "forecast": None,
+            "sun_times": None,
+            "air_quality": None,
+        }
+
+        # Fetch weather data
+        weather_records = await self.get_by_namespace(user, "weather")
+        if weather_records:
+            # Get the first/most recent weather record
+            result["weather"] = weather_records[0].get("raw_data")
+            # Check if air quality is embedded in weather data
+            if result["weather"]:
+                aqi = result["weather"].get("aqi") or result["weather"].get("air_quality")
+                if aqi:
+                    result["air_quality"] = aqi if isinstance(aqi, dict) else {"aqi": aqi}
+
+        # Fetch forecast data
+        forecast_records = await self.get_by_namespace(user, "forecast")
+        if forecast_records:
+            # Forecast might be a single record with list or multiple records
+            first_record = forecast_records[0].get("raw_data")
+            if isinstance(first_record, list):
+                result["forecast"] = first_record
+            elif isinstance(first_record, dict):
+                # Could be a dict with 'days' or 'forecast' key
+                result["forecast"] = first_record.get(
+                    "days",
+                    first_record.get("forecast", [first_record])
+                )
+
+        # Fetch sun times data
+        sun_records = await self.get_by_namespace(user, "sun")
+        if sun_records:
+            result["sun_times"] = sun_records[0].get("raw_data")
+
+        # Check for separate air quality namespace if not embedded
+        if result["air_quality"] is None:
+            aq_records = await self.get_by_namespace(user, "air_quality")
+            if aq_records:
+                result["air_quality"] = aq_records[0].get("raw_data")
+
+        return result
+
+    async def health_check(self) -> Dict[str, Any]:
+        """
+        Check Qdrant connectivity.
+
+        Returns:
+            Dict with connection status and info
+        """
+        try:
+            collections = self.client.get_collections()
+            volatile_collections = [
+                c.name for c in collections.collections
+                if c.name.startswith(self.VOLATILE_COLLECTION_PREFIX)
+            ]
+            return {
+                "status": "healthy",
+                "connected": True,
+                "host": f"{self.host}:{self.port}",
+                "volatile_collections": volatile_collections,
+            }
+        except Exception as e:
+            logger.error(f"Qdrant health check failed: {e}")
+            return {
+                "status": "unhealthy",
+                "connected": False,
+                "host": f"{self.host}:{self.port}",
+                "error": str(e),
+            }
+
+
+# Singleton instance for reuse
+_qdrant_client: Optional[QdrantReadClient] = None
+
+
+def get_qdrant_client() -> QdrantReadClient:
+    """Get or create singleton Qdrant client instance."""
+    global _qdrant_client
+    if _qdrant_client is None:
+        _qdrant_client = QdrantReadClient()
+    return _qdrant_client

tests/test_environment.py

@@ -0,0 +1,159 @@
+"""Tests for environment service and schemas."""
+import pytest
+from datetime import datetime
+
+
+class TestEnvironmentService:
+    """Test EnvironmentService methods."""
+
+    def test_aqi_to_quality_good(self):
+        """AQI 0-50 should return Good."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        assert service._aqi_to_quality(0) == "Good"
+        assert service._aqi_to_quality(25) == "Good"
+        assert service._aqi_to_quality(50) == "Good"
+
+    def test_aqi_to_quality_moderate(self):
+        """AQI 51-100 should return Moderate."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        assert service._aqi_to_quality(51) == "Moderate"
+        assert service._aqi_to_quality(75) == "Moderate"
+        assert service._aqi_to_quality(100) == "Moderate"
+
+    def test_aqi_to_quality_unhealthy_sensitive(self):
+        """AQI 101-150 should return Unhealthy for Sensitive Groups."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        assert service._aqi_to_quality(101) == "Unhealthy for Sensitive Groups"
+        assert service._aqi_to_quality(150) == "Unhealthy for Sensitive Groups"
+
+    def test_aqi_to_quality_unhealthy(self):
+        """AQI 151-200 should return Unhealthy."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        assert service._aqi_to_quality(151) == "Unhealthy"
+        assert service._aqi_to_quality(200) == "Unhealthy"
+
+    def test_aqi_to_quality_very_unhealthy(self):
+        """AQI 201-300 should return Very Unhealthy."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        assert service._aqi_to_quality(201) == "Very Unhealthy"
+        assert service._aqi_to_quality(300) == "Very Unhealthy"
+
+    def test_aqi_to_quality_hazardous(self):
+        """AQI >300 should return Hazardous."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        assert service._aqi_to_quality(301) == "Hazardous"
+        assert service._aqi_to_quality(500) == "Hazardous"
+
+    def test_parse_weather_with_valid_data(self):
+        """Parse weather should return WeatherData for valid input."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        raw = {
+            "temperature": 15.5,
+            "conditions": "Cloudy",
+            "humidity": 72,
+            "location": "Rotterdam",
+        }
+        result = service._parse_weather(raw)
+
+        assert result is not None
+        assert result.temperature == 15.5
+        assert result.conditions == "Cloudy"
+        assert result.humidity == 72
+
+    def test_parse_weather_with_none(self):
+        """Parse weather should return None for None input."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        result = service._parse_weather(None)
+        assert result is None
+
+    def test_parse_forecast_with_list(self):
+        """Parse forecast should handle list format."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        raw = [
+            {"date": "2026-01-06", "high": 12, "low": 5, "conditions": "Cloudy"},
+            {"date": "2026-01-07", "high": 14, "low": 6, "conditions": "Sunny"},
+        ]
+        result = service._parse_forecast(raw)
+
+        assert result is not None
+        assert len(result) == 2
+        assert result[0].date == "2026-01-06"
+        assert result[0].high == 12
+
+    def test_parse_forecast_with_dict(self):
+        """Parse forecast should handle dict with days key."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        raw = {
+            "days": [
+                {"date": "2026-01-06", "high": 12, "low": 5, "conditions": "Cloudy"},
+            ]
+        }
+        result = service._parse_forecast(raw)
+
+        assert result is not None
+        assert len(result) == 1
+
+    def test_parse_sun_times_with_strings(self):
+        """Parse sun times should handle ISO datetime strings."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        raw = {
+            "sunrise": "2026-01-06T08:45:00",
+            "sunset": "2026-01-06T16:50:00",
+        }
+        result = service._parse_sun_times(raw)
+
+        assert result is not None
+        assert result.sunrise.hour == 8
+        assert result.sunrise.minute == 45
+        assert result.sunset.hour == 16
+        assert result.daylight_minutes == 485
+
+    def test_parse_air_quality_with_int(self):
+        """Parse air quality should handle simple integer AQI."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        result = service._parse_air_quality(42)
+
+        assert result is not None
+        assert result.aqi == 42
+        assert result.quality == "Good"
+
+    def test_parse_air_quality_with_dict(self):
+        """Parse air quality should handle dict format."""
+        from src.domains.tools.environment.service import EnvironmentService
+        service = EnvironmentService.__new__(EnvironmentService)
+
+        raw = {
+            "aqi": 75,
+            "pm25": 8.5,
+            "pm10": 15,
+        }
+        result = service._parse_air_quality(raw)
+
+        assert result is not None
+        assert result.aqi == 75
+        assert result.quality == "Moderate"
+        assert result.pm25 == 8.5