Merge branch 'feat/remove-discover-and-recommendations'

# Conflicts:
#	frontend/src/routes/collections/[id]/+page.svelte
This commit is contained in:
2026-03-10 20:24:39 +00:00
31 changed files with 101 additions and 2506 deletions

View File

@@ -124,28 +124,6 @@ class WeatherViewTests(APITestCase):
self.assertEqual(response.json()["results"][0]["temperature_c"], 15.0)
class RecommendationPhotoProxyValidationTests(APITestCase):
def setUp(self):
self.user = User.objects.create_user(
username="reco-user",
email="reco@example.com",
password="password123",
)
self.client.force_authenticate(user=self.user)
def test_google_photo_rejects_invalid_photo_name(self):
response = self.client.get(
"/api/recommendations/google-photo/?photo_name=invalid-photo-name"
)
self.assertEqual(response.status_code, 400)
def test_google_photo_rejects_trailing_newline_photo_name(self):
response = self.client.get(
"/api/recommendations/google-photo/?photo_name=places/abc/photos/def%0A"
)
self.assertEqual(response.status_code, 400)
class MCPAuthTests(APITestCase):
def test_mcp_unauthenticated_access_is_rejected(self):
unauthenticated_client = APIClient()

View File

@@ -18,11 +18,6 @@ router.register(r"ics-calendar", IcsCalendarGeneratorViewSet, basename="ics-cale
router.register(r"search", GlobalSearchView, basename="search")
router.register(r"attachments", AttachmentViewSet, basename="attachments")
router.register(r"lodging", LodgingViewSet, basename="lodging")
(
router.register(
r"recommendations", RecommendationsViewSet, basename="recommendations"
),
)
router.register(r"backup", BackupViewSet, basename="backup")
router.register(r"trails", TrailViewSet, basename="trails")
router.register(r"activities", ActivityViewSet, basename="activities")

View File

@@ -13,7 +13,6 @@ from .transportation_view import *
from .global_search_view import *
from .attachment_view import *
from .lodging_view import *
from .recommendations_view import *
from .import_export_view import *
from .trail_view import *
from .activity_view import *

View File

@@ -1,910 +0,0 @@
from urllib.parse import urlencode
import re
from rest_framework import status, viewsets
from rest_framework.decorators import action
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from django.conf import settings
import requests
from geopy.distance import geodesic
import logging
from ..geocoding import search_osm
from integrations.models import EncryptionConfigurationError, UserAPIKey
logger = logging.getLogger(__name__)
class RecommendationsViewSet(viewsets.ViewSet):
permission_classes = [IsAuthenticated]
OVERPASS_URL = "https://overpass-api.de/api/interpreter"
NOMINATIM_URL = "https://nominatim.openstreetmap.org/search"
HEADERS = {"User-Agent": "Voyage Server"}
# Quality thresholds
MIN_GOOGLE_RATING = 3.0 # Minimum rating to include
MIN_GOOGLE_REVIEWS = 5 # Minimum number of reviews
MAX_RESULTS = 50 # Maximum results to return
def _get_google_api_key(self, request):
user_key = UserAPIKey.objects.filter(
user=request.user, provider="google_maps"
).first()
if user_key:
try:
decrypted = user_key.get_api_key()
except EncryptionConfigurationError:
decrypted = None
if decrypted:
return decrypted
return getattr(settings, "GOOGLE_MAPS_API_KEY", None)
def _search_google_text(self, query, api_key):
if not api_key:
return None
url = "https://places.googleapis.com/v1/places:searchText"
headers = {
"Content-Type": "application/json",
"X-Goog-Api-Key": api_key,
"X-Goog-FieldMask": "places.displayName.text,places.formattedAddress,places.location",
}
payload = {
"textQuery": query,
"maxResultCount": 5,
}
try:
response = requests.post(url, json=payload, headers=headers, timeout=10)
response.raise_for_status()
data = response.json()
except Exception:
return None
places = data.get("places", []) or []
if not places:
return None
normalized = []
for place in places:
loc = place.get("location") or {}
normalized.append(
{
"lat": loc.get("latitude"),
"lon": loc.get("longitude"),
"name": (place.get("displayName") or {}).get("text"),
"display_name": place.get("formattedAddress"),
}
)
return normalized
def calculate_quality_score(self, place_data):
"""
Calculate a quality score based on multiple factors.
Higher score = better quality recommendation.
"""
import math
score = 0.0
# Rating contribution (0-50 points)
rating = place_data.get("rating")
if rating is not None and rating > 0:
score += (rating / 5.0) * 50
# Review count contribution (0-30 points, logarithmic scale)
review_count = place_data.get("review_count")
if review_count is not None and review_count > 0:
# Logarithmic scale: 10 reviews = ~10 pts, 100 = ~20 pts, 1000 = ~30 pts
score += min(30, math.log10(review_count) * 10)
# Distance penalty (0-20 points, closer is better)
distance_km = place_data.get("distance_km")
if distance_km is not None:
if distance_km < 1:
score += 20
elif distance_km < 5:
score += 15
elif distance_km < 10:
score += 10
elif distance_km < 20:
score += 5
# Verified/business status bonus (0-10 points)
if (
place_data.get("is_verified")
or place_data.get("business_status") == "OPERATIONAL"
):
score += 10
# Has photos bonus (0-5 points)
photos = place_data.get("photos")
if photos and len(photos) > 0:
score += 5
# Has opening hours bonus (0-5 points)
opening_hours = place_data.get("opening_hours")
if opening_hours and len(opening_hours) > 0:
score += 5
return round(score, 2)
def parse_google_places(self, places, origin):
"""
Parse Google Places API results into unified format.
Enhanced with quality filtering and comprehensive data extraction.
"""
locations = []
for place in places:
location = place.get("location", {})
types = place.get("types", [])
# Extract display name
display_name = place.get("displayName", {})
name = (
display_name.get("text")
if isinstance(display_name, dict)
else display_name
)
# Extract coordinates
lat = location.get("latitude")
lon = location.get("longitude")
if not name or not lat or not lon:
continue
# Extract rating information
rating = place.get("rating")
review_count = place.get("userRatingCount", 0)
# Quality filter: Skip low-rated or unreviewed places
if rating and rating < self.MIN_GOOGLE_RATING:
continue
if review_count < self.MIN_GOOGLE_REVIEWS:
continue
# Calculate distance
distance_km = geodesic(origin, (lat, lon)).km
# Extract address information
formatted_address = place.get("formattedAddress") or place.get(
"shortFormattedAddress"
)
# Extract business status
business_status = place.get("businessStatus")
is_operational = business_status == "OPERATIONAL"
# Extract opening hours
opening_hours = place.get("regularOpeningHours", {})
current_opening_hours = place.get("currentOpeningHours", {})
is_open_now = current_opening_hours.get("openNow")
# Extract photos and construct URLs
photos = place.get("photos", [])
photo_urls = []
if photos:
# Get first 5 photos and construct full URLs
for photo in photos[:5]:
photo_name = photo.get("name", "")
if photo_name:
query = urlencode(
{
"photo_name": photo_name,
"max_height": 800,
"max_width": 800,
}
)
photo_url = f"/api/recommendations/google-photo/?{query}"
photo_urls.append(photo_url)
# Extract contact information
phone_number = place.get("nationalPhoneNumber") or place.get(
"internationalPhoneNumber"
)
website = place.get("websiteUri")
google_maps_uri = place.get("googleMapsUri")
# Extract price level
price_level = place.get("priceLevel")
# Extract editorial summary/description
editorial_summary = place.get("editorialSummary", {})
description = (
editorial_summary.get("text")
if isinstance(editorial_summary, dict)
else None
)
# Filter out unwanted types (generic categories)
filtered_types = [
t for t in types if t not in ["point_of_interest", "establishment"]
]
# Build unified response
place_data = {
"id": f"google:{place.get('id')}",
"external_id": place.get("id"),
"source": "google",
"name": name,
"description": description,
"latitude": lat,
"longitude": lon,
"address": formatted_address,
"distance_km": round(distance_km, 2),
"rating": rating,
"review_count": review_count,
"price_level": price_level,
"types": filtered_types,
"primary_type": filtered_types[0] if filtered_types else None,
"business_status": business_status,
"is_open_now": is_open_now,
"opening_hours": opening_hours.get("weekdayDescriptions", [])
if opening_hours
else None,
"phone_number": phone_number,
"website": website,
"google_maps_url": google_maps_uri,
"photos": photo_urls,
"is_verified": is_operational,
}
# Calculate quality score
place_data["quality_score"] = self.calculate_quality_score(place_data)
locations.append(place_data)
return locations
def parse_overpass_response(self, data, request, origin):
"""
Parse Overpass API (OSM) results into unified format.
Enhanced with quality filtering and comprehensive data extraction.
"""
nodes = data.get("elements", [])
locations = []
for node in nodes:
if node.get("type") not in ["node", "way", "relation"]:
continue
tags = node.get("tags", {})
# Get coordinates (for ways/relations, use center)
lat = node.get("lat") or node.get("center", {}).get("lat")
lon = node.get("lon") or node.get("center", {}).get("lon")
# Extract name (with fallbacks)
name = tags.get("name") or tags.get("official_name") or tags.get("alt_name")
if not name or lat is None or lon is None:
continue
# Calculate distance
distance_km = round(geodesic(origin, (lat, lon)).km, 2) if origin else None
# Extract address information
address_parts = [
tags.get("addr:housenumber"),
tags.get("addr:street"),
tags.get("addr:suburb") or tags.get("addr:neighbourhood"),
tags.get("addr:city"),
tags.get("addr:state"),
tags.get("addr:postcode"),
tags.get("addr:country"),
]
formatted_address = ", ".join(filter(None, address_parts)) or None
# Extract contact information
phone = tags.get("phone") or tags.get("contact:phone")
website = (
tags.get("website") or tags.get("contact:website") or tags.get("url")
)
# Extract opening hours
opening_hours = tags.get("opening_hours")
# Extract rating/stars (if available)
stars = tags.get("stars")
# Determine category/type hierarchy
category_keys = [
"tourism",
"leisure",
"amenity",
"natural",
"historic",
"attraction",
"shop",
"sport",
]
types = [tags.get(key) for key in category_keys if key in tags]
primary_type = types[0] if types else None
# Extract description and additional info
description = tags.get("description") or tags.get("note")
wikipedia = tags.get("wikipedia") or tags.get("wikidata")
# Extract image if available
image = tags.get("image") or tags.get("wikimedia_commons")
# Quality filters for OSM data
# Skip if it's just a generic POI without specific category
if not primary_type:
continue
# Skip construction or disused places
if tags.get("disused") or tags.get("construction"):
continue
# Build unified response
place_data = {
"id": f"osm:{node.get('type')}:{node.get('id')}",
"external_id": str(node.get("id")),
"source": "osm",
"name": name,
"description": description,
"latitude": lat,
"longitude": lon,
"address": formatted_address,
"distance_km": distance_km,
"rating": None, # OSM doesn't have ratings
"review_count": None,
"price_level": None,
"types": types,
"primary_type": primary_type,
"business_status": None,
"is_open_now": None,
"opening_hours": [opening_hours] if opening_hours else None,
"phone_number": phone,
"website": website,
"google_maps_url": None,
"photos": [image] if image else [],
"is_verified": bool(wikipedia), # Has Wikipedia = more verified
"osm_type": node.get("type"),
"wikipedia": wikipedia,
"stars": stars,
}
# Calculate quality score (will be lower without ratings)
place_data["quality_score"] = self.calculate_quality_score(place_data)
locations.append(place_data)
return locations
def query_overpass(self, lat, lon, radius, category, request):
"""
Query Overpass API (OpenStreetMap) for nearby places.
Enhanced with better queries and error handling.
"""
# Limit radius for OSM to prevent timeouts (max 5km for OSM due to server limits)
osm_radius = min(radius, 5000)
# Build optimized query - use simpler queries and limit results
# Reduced timeout and simplified queries to prevent 504 errors
if category == "tourism":
query = f"""
[out:json][timeout:25];
(
nwr["tourism"~"attraction|viewpoint|museum|gallery|zoo|aquarium"](around:{osm_radius},{lat},{lon});
nwr["historic"~"monument|castle|memorial"](around:{osm_radius},{lat},{lon});
nwr["leisure"~"park|garden|nature_reserve"](around:{osm_radius},{lat},{lon});
);
out center tags 50;
"""
elif category == "lodging":
query = f"""
[out:json][timeout:25];
nwr["tourism"~"hotel|motel|guest_house|hostel"](around:{osm_radius},{lat},{lon});
out center tags 50;
"""
elif category == "food":
query = f"""
[out:json][timeout:25];
nwr["amenity"~"restaurant|cafe|bar|pub"](around:{osm_radius},{lat},{lon});
out center tags 50;
"""
else:
logger.error(f"Invalid category requested: {category}")
return {"error": "Invalid category.", "results": []}
try:
response = requests.post(
self.OVERPASS_URL, data=query, headers=self.HEADERS, timeout=30
)
response.raise_for_status()
data = response.json()
except requests.exceptions.Timeout:
logger.warning(
f"Overpass API timeout for {category} at ({lat}, {lon}) with radius {osm_radius}m"
)
return {
"error": f"OpenStreetMap query timed out. The service is overloaded. Radius limited to {int(osm_radius)}m.",
"results": [],
}
except requests.exceptions.HTTPError as e:
if e.response.status_code == 504:
logger.warning(f"Overpass API 504 Gateway Timeout for {category}")
return {
"error": "OpenStreetMap server is overloaded. Try again later or use Google source.",
"results": [],
}
logger.warning(f"Overpass API HTTP error: {e}")
return {
"error": f"OpenStreetMap error: please try again later.",
"results": [],
}
except requests.exceptions.RequestException as e:
logger.warning(f"Overpass API error: {e}")
return {
"error": f"OpenStreetMap temporarily unavailable: please try again later.",
"results": [],
}
except ValueError as e:
logger.error(f"Invalid JSON response from Overpass: {e}")
return {"error": "Invalid response from OpenStreetMap.", "results": []}
origin = (float(lat), float(lon))
locations = self.parse_overpass_response(data, request, origin)
logger.info(f"Overpass returned {len(locations)} results")
return {"error": None, "results": locations}
def query_google_nearby(self, lat, lon, radius, category, request):
"""
Query Google Places API (New) for nearby places.
Enhanced with comprehensive field masks and better error handling.
"""
api_key = self._get_google_api_key(request)
url = "https://places.googleapis.com/v1/places:searchNearby"
# Comprehensive field mask to get all useful information
headers = {
"Content-Type": "application/json",
"X-Goog-Api-Key": api_key,
"X-Goog-FieldMask": (
"places.id,"
"places.displayName,"
"places.formattedAddress,"
"places.shortFormattedAddress,"
"places.location,"
"places.types,"
"places.rating,"
"places.userRatingCount,"
"places.businessStatus,"
"places.priceLevel,"
"places.websiteUri,"
"places.googleMapsUri,"
"places.nationalPhoneNumber,"
"places.internationalPhoneNumber,"
"places.editorialSummary,"
"places.photos,"
"places.currentOpeningHours,"
"places.regularOpeningHours"
),
}
# Map categories to place types - use multiple types for better coverage
type_mapping = {
"lodging": [
"lodging",
"hotel",
"hostel",
"resort_hotel",
"extended_stay_hotel",
],
"food": [
"restaurant",
"cafe",
"bar",
"bakery",
"meal_takeaway",
"meal_delivery",
],
"tourism": [
"tourist_attraction",
"museum",
"art_gallery",
"aquarium",
"zoo",
"amusement_park",
"park",
"natural_feature",
],
}
payload = {
"includedTypes": type_mapping.get(category, ["tourist_attraction"]),
"maxResultCount": 20,
"rankPreference": "DISTANCE", # Sort by distance first
"locationRestriction": {
"circle": {
"center": {"latitude": float(lat), "longitude": float(lon)},
"radius": float(radius),
}
},
}
try:
response = requests.post(url, json=payload, headers=headers, timeout=15)
response.raise_for_status()
data = response.json()
places = data.get("places", [])
origin = (float(lat), float(lon))
locations = self.parse_google_places(places, origin)
logger.info(
f"Google Places returned {len(locations)} quality results for category '{category}'"
)
return Response(self._prepare_final_results(locations))
except requests.exceptions.Timeout:
logger.warning("Google Places API timeout, falling back to OSM")
return self.query_overpass(lat, lon, radius, category, request)
except requests.exceptions.RequestException as e:
logger.warning(f"Google Places API error: {e}, falling back to OSM")
return self.query_overpass(lat, lon, radius, category, request)
except Exception as e:
logger.error(f"Unexpected error with Google Places API: {e}")
return self.query_overpass(lat, lon, radius, category, request)
def _prepare_final_results(self, locations):
"""
Prepare final results: sort by quality score and limit results.
"""
# Sort by quality score (highest first)
locations.sort(key=lambda x: x.get("quality_score", 0), reverse=True)
# Limit to MAX_RESULTS
locations = locations[: self.MAX_RESULTS]
return locations
def _deduplicate_results(self, google_results, osm_results):
"""
Deduplicate results from both sources based on name and proximity.
Prioritize Google results when duplicates are found.
"""
from difflib import SequenceMatcher
def is_similar(name1, name2, threshold=0.85):
"""Check if two names are similar using fuzzy matching."""
return (
SequenceMatcher(None, name1.lower(), name2.lower()).ratio() > threshold
)
def is_nearby(loc1, loc2, max_distance_m=50):
"""Check if two locations are within max_distance_m meters."""
dist = geodesic(
(loc1["latitude"], loc1["longitude"]),
(loc2["latitude"], loc2["longitude"]),
).meters
return dist < max_distance_m
# Start with all Google results (higher quality)
deduplicated = list(google_results)
# Add OSM results that don't match Google results
for osm_loc in osm_results:
is_duplicate = False
for google_loc in google_results:
if is_similar(osm_loc["name"], google_loc["name"]) and is_nearby(
osm_loc, google_loc
):
is_duplicate = True
break
if not is_duplicate:
deduplicated.append(osm_loc)
return deduplicated
@action(detail=False, methods=["get"])
def query(self, request):
"""
Query both Google Places and OSM for recommendations.
Returns unified, high-quality results sorted by quality score.
Query Parameters:
- lat (required): Latitude
- lon (required): Longitude
- radius (optional): Search radius in meters (default: 5000, max: 50000)
- category (required): Category - 'tourism', 'food', or 'lodging'
- sources (optional): Comma-separated sources - 'google', 'osm', or 'both' (default: 'both')
"""
lat = request.query_params.get("lat")
lon = request.query_params.get("lon")
# Allow a free-text `location` parameter which will be geocoded
location_param = request.query_params.get("location")
radius = request.query_params.get("radius", "5000")
category = request.query_params.get("category")
sources = request.query_params.get("sources", "both").lower()
# If lat/lon not supplied, try geocoding the free-text location param
if (not lat or not lon) and location_param:
geocode_results = None
request_google_api_key = self._get_google_api_key(request)
# Try Google first if API key configured
if request_google_api_key:
try:
geocode_results = self._search_google_text(
location_param, request_google_api_key
)
except Exception:
logger.warning("Google geocoding failed; falling back to OSM")
geocode_results = None
# Fallback to OSM Nominatim
if not geocode_results:
try:
geocode_results = search_osm(location_param)
except Exception:
logger.warning("OSM geocoding failed")
geocode_results = None
# Validate geocode results
if isinstance(geocode_results, dict) and geocode_results.get("error"):
# Log internal geocoding error but avoid exposing sensitive details
logger.warning("Geocoding helper returned an internal error")
return Response(
{
"error": "Geocoding failed. Please try a different location or contact support."
},
status=400,
)
if not geocode_results:
return Response(
{"error": "Could not geocode provided location."}, status=400
)
# geocode_results expected to be a list of results; pick the best (first)
best = None
if isinstance(geocode_results, list) and len(geocode_results) > 0:
best = geocode_results[0]
elif isinstance(geocode_results, dict):
# Some helpers might return a dict when only one result found
best = geocode_results
if not best:
return Response({"error": "No geocoding results found."}, status=400)
try:
best_lat = best.get("lat") or best.get("latitude")
best_lon = best.get("lon") or best.get("longitude")
if best_lat is None or best_lon is None:
raise ValueError("missing_coordinates")
lat = float(best_lat)
lon = float(best_lon)
except Exception:
return Response(
{"error": "Geocoding result missing coordinates."}, status=400
)
# Replace location_param with display name when available for logging/debug
location_param = (
best.get("display_name") or best.get("name") or location_param
)
# Validation: require lat and lon at this point
if not lat or not lon:
return Response(
{
"error": "Latitude and longitude parameters are required (or provide a 'location' parameter to geocode)."
},
status=400,
)
try:
lat = float(lat)
lon = float(lon)
radius = min(float(radius), 50000) # Max 50km radius
except ValueError:
return Response(
{"error": "Invalid latitude, longitude, or radius value."}, status=400
)
valid_categories = ["lodging", "food", "tourism"]
if category not in valid_categories:
return Response(
{
"error": f"Invalid category. Valid categories: {', '.join(valid_categories)}"
},
status=400,
)
valid_sources = ["google", "osm", "both"]
if sources not in valid_sources:
return Response(
{
"error": f"Invalid sources. Valid options: {', '.join(valid_sources)}"
},
status=400,
)
api_key = self._get_google_api_key(request)
google_results = []
osm_results = []
# Query Google Places if available and requested
if api_key and sources in ["google", "both"]:
try:
url = "https://places.googleapis.com/v1/places:searchNearby"
headers = {
"Content-Type": "application/json",
"X-Goog-Api-Key": api_key,
"X-Goog-FieldMask": (
"places.id,places.displayName,places.formattedAddress,"
"places.shortFormattedAddress,places.location,places.types,"
"places.rating,places.userRatingCount,places.businessStatus,"
"places.priceLevel,places.websiteUri,places.googleMapsUri,"
"places.nationalPhoneNumber,places.internationalPhoneNumber,"
"places.editorialSummary,places.photos,"
"places.currentOpeningHours,places.regularOpeningHours"
),
}
type_mapping = {
"lodging": ["lodging", "hotel", "hostel", "resort_hotel"],
"food": ["restaurant", "cafe", "bar", "bakery"],
"tourism": [
"tourist_attraction",
"museum",
"art_gallery",
"aquarium",
"zoo",
"park",
],
}
payload = {
"includedTypes": type_mapping.get(category, ["tourist_attraction"]),
"maxResultCount": 20,
"rankPreference": "DISTANCE",
"locationRestriction": {
"circle": {
"center": {"latitude": lat, "longitude": lon},
"radius": radius,
}
},
}
response = requests.post(url, json=payload, headers=headers, timeout=15)
response.raise_for_status()
data = response.json()
places = data.get("places", [])
origin = (lat, lon)
google_results = self.parse_google_places(places, origin)
logger.info(f"Google Places: {len(google_results)} quality results")
except Exception as e:
logger.warning(f"Google Places failed: {e}")
# Query OSM if requested or as fallback
osm_error = None
if sources in ["osm", "both"] or (sources == "google" and not google_results):
osm_response = self.query_overpass(lat, lon, radius, category, request)
osm_results = osm_response.get("results", [])
osm_error = osm_response.get("error")
if osm_error:
logger.warning(f"OSM query had issues: {osm_error}")
# Combine and deduplicate if using both sources
if sources == "both" and google_results and osm_results:
all_results = self._deduplicate_results(google_results, osm_results)
else:
all_results = google_results + osm_results
# Prepare final results
final_results = self._prepare_final_results(all_results)
logger.info(f"Returning {len(final_results)} total recommendations")
# Build response with metadata
response_data = {
"count": len(final_results),
"results": final_results,
"sources_used": {
"google": len(google_results),
"osm": len(osm_results),
"total_before_dedup": len(google_results) + len(osm_results),
},
}
# Add warnings if there were errors but we still have some results
warnings = []
if osm_error and len(osm_results) == 0:
warnings.append(osm_error)
if warnings:
response_data["warnings"] = warnings
# If no results at all and user requested only OSM, return error status
if len(final_results) == 0 and sources == "osm" and osm_error:
# Log internal error notice for investigation but do not expose details to clients
logger.debug("OSM query error (internal)")
return Response(
{
"error": "OpenStreetMap service temporarily unavailable. Please try again later.",
"count": 0,
"results": [],
"sources_used": response_data["sources_used"],
},
status=503,
)
return Response(response_data)
@action(detail=False, methods=["get"], url_path="google-photo")
def google_photo(self, request):
photo_name = request.query_params.get("photo_name")
if not photo_name:
return Response(
{"error": "photo_name is required"},
status=status.HTTP_400_BAD_REQUEST,
)
if not re.fullmatch(r"places/[A-Za-z0-9_-]+/photos/[A-Za-z0-9_-]+", photo_name):
return Response(
{
"error": "photo_name must match pattern: places/{place_id}/photos/{photo_id}"
},
status=status.HTTP_400_BAD_REQUEST,
)
api_key = self._get_google_api_key(request)
if not api_key:
return Response(
{"error": "Google API key is not configured for this account."},
status=status.HTTP_400_BAD_REQUEST,
)
try:
max_height = min(
max(int(request.query_params.get("max_height", "800")), 1), 1600
)
max_width = min(
max(int(request.query_params.get("max_width", "800")), 1), 1600
)
except ValueError:
return Response(
{"error": "max_height and max_width must be integers."},
status=status.HTTP_400_BAD_REQUEST,
)
photo_url = f"https://places.googleapis.com/v1/{photo_name}/media"
try:
upstream = requests.get(
photo_url,
params={
"key": api_key,
"maxHeightPx": max_height,
"maxWidthPx": max_width,
},
timeout=15,
)
except requests.RequestException:
return Response(
{"error": "Unable to fetch Google photo right now."},
status=status.HTTP_502_BAD_GATEWAY,
)
if upstream.status_code >= 400:
return Response(
{"error": "Google photo unavailable."},
status=status.HTTP_502_BAD_GATEWAY,
)
response = Response(upstream.content, status=status.HTTP_200_OK)
response["Content-Type"] = upstream.headers.get("Content-Type", "image/jpeg")
cache_control = upstream.headers.get("Cache-Control")
if cache_control:
response["Cache-Control"] = cache_control
return response

View File

@@ -1,5 +1,3 @@
from unittest.mock import patch
from django.contrib.auth import get_user_model
from django.test import override_settings
from rest_framework.test import APITestCase
@@ -29,29 +27,6 @@ class UserAPIKeyConfigurationTests(APITestCase):
self.assertEqual(response.status_code, 503)
self.assertIn("invalid", response.json().get("detail", "").lower())
@override_settings(FIELD_ENCRYPTION_KEY="")
@patch("adventures.views.recommendations_view.requests.get")
def test_google_photo_uses_graceful_fallback_when_user_key_unreadable(
self, mock_requests_get
):
from integrations.models import UserAPIKey
# Legacy/bad row exists but cannot be decrypted due to missing key.
UserAPIKey.objects.create(
user=self.user,
provider="google_maps",
encrypted_api_key="not-a-valid-fernet-token",
)
response = self.client.get(
"/api/recommendations/google-photo/?photo_name=places/abc/photos/def"
)
# Should fail gracefully as misconfigured key path, not crash (500).
self.assertEqual(response.status_code, 400)
self.assertIn("not configured", response.json().get("error", "").lower())
mock_requests_get.assert_not_called()
class UserAPIKeyCreateBehaviorTests(APITestCase):
@override_settings(

View File

@@ -2,18 +2,31 @@
from django.urls import include, path
from rest_framework.routers import DefaultRouter
from .views import CountryViewSet, RegionViewSet, VisitedRegionViewSet, regions_by_country, visits_by_country, cities_by_region, VisitedCityViewSet, visits_by_region, globespin
from .views import (
CountryViewSet,
RegionViewSet,
VisitedRegionViewSet,
regions_by_country,
visits_by_country,
cities_by_region,
VisitedCityViewSet,
visits_by_region,
)
router = DefaultRouter()
router.register(r'countries', CountryViewSet, basename='countries')
router.register(r'regions', RegionViewSet, basename='regions')
router.register(r'visitedregion', VisitedRegionViewSet, basename='visitedregion')
router.register(r'visitedcity', VisitedCityViewSet, basename='visitedcity')
router.register(r"countries", CountryViewSet, basename="countries")
router.register(r"regions", RegionViewSet, basename="regions")
router.register(r"visitedregion", VisitedRegionViewSet, basename="visitedregion")
router.register(r"visitedcity", VisitedCityViewSet, basename="visitedcity")
urlpatterns = [
path('', include(router.urls)),
path('<str:country_code>/regions/', regions_by_country, name='regions-by-country'),
path('<str:country_code>/visits/', visits_by_country, name='visits-by-country'),
path('regions/<str:region_id>/cities/', cities_by_region, name='cities-by-region'),
path('regions/<str:region_id>/cities/visits/', visits_by_region, name='visits-by-region'),
path('globespin/', globespin, name='globespin'),
path("", include(router.urls)),
path("<str:country_code>/regions/", regions_by_country, name="regions-by-country"),
path("<str:country_code>/visits/", visits_by_country, name="visits-by-country"),
path("regions/<str:region_id>/cities/", cities_by_region, name="cities-by-region"),
path(
"regions/<str:region_id>/cities/visits/",
visits_by_region,
name="visits-by-region",
),
]

View File

@@ -1,6 +1,12 @@
from django.shortcuts import get_object_or_404
from .models import Country, Region, VisitedRegion, City, VisitedCity
from .serializers import CitySerializer, CountrySerializer, RegionSerializer, VisitedRegionSerializer, VisitedCitySerializer
from .serializers import (
CitySerializer,
CountrySerializer,
RegionSerializer,
VisitedRegionSerializer,
VisitedCitySerializer,
)
from rest_framework import viewsets, status
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
@@ -8,15 +14,17 @@ from rest_framework.decorators import api_view, permission_classes, action
from django.contrib.gis.geos import Point
from adventures.models import Location
@api_view(['GET'])
@api_view(["GET"])
@permission_classes([IsAuthenticated])
def regions_by_country(request, country_code):
country = get_object_or_404(Country, country_code=country_code)
regions = Region.objects.filter(country=country).order_by('name')
regions = Region.objects.filter(country=country).order_by("name")
serializer = RegionSerializer(regions, many=True)
return Response(serializer.data)
@api_view(['GET'])
@api_view(["GET"])
@permission_classes([IsAuthenticated])
def visits_by_country(request, country_code):
country = get_object_or_404(Country, country_code=country_code)
@@ -24,15 +32,17 @@ def visits_by_country(request, country_code):
serializer = VisitedRegionSerializer(visits, many=True)
return Response(serializer.data)
@api_view(['GET'])
@api_view(["GET"])
@permission_classes([IsAuthenticated])
def cities_by_region(request, region_id):
region = get_object_or_404(Region, id=region_id)
cities = City.objects.filter(region=region).order_by('name')
cities = City.objects.filter(region=region).order_by("name")
serializer = CitySerializer(cities, many=True)
return Response(serializer.data)
@api_view(['GET'])
@api_view(["GET"])
@permission_classes([IsAuthenticated])
def visits_by_region(request, region_id):
region = get_object_or_404(Region, id=region_id)
@@ -40,122 +50,127 @@ def visits_by_region(request, region_id):
serializer = VisitedCitySerializer(visits, many=True)
return Response(serializer.data)
# view called spin the globe that return a random country, a random region in that country and a random city in that region
@api_view(['GET'])
@permission_classes([IsAuthenticated])
def globespin(request):
country = Country.objects.order_by('?').first()
data = {
"country": CountrySerializer(country).data,
}
regions = Region.objects.filter(country=country)
if regions.exists():
region = regions.order_by('?').first()
data["region"] = RegionSerializer(region).data
cities = City.objects.filter(region=region)
if cities.exists():
city = cities.order_by('?').first()
data["city"] = CitySerializer(city).data
return Response(data)
class CountryViewSet(viewsets.ReadOnlyModelViewSet):
queryset = Country.objects.all().order_by('name')
queryset = Country.objects.all().order_by("name")
serializer_class = CountrySerializer
permission_classes = [IsAuthenticated]
@action(detail=False, methods=['get'])
@action(detail=False, methods=["get"])
def check_point_in_region(self, request):
lat = float(request.query_params.get('lat'))
lon = float(request.query_params.get('lon'))
lat = float(request.query_params.get("lat"))
lon = float(request.query_params.get("lon"))
point = Point(lon, lat, srid=4326)
region = Region.objects.filter(geometry__contains=point).first()
if region:
return Response({'in_region': True, 'region_name': region.name, 'region_id': region.id})
return Response(
{"in_region": True, "region_name": region.name, "region_id": region.id}
)
else:
return Response({'in_region': False})
return Response({"in_region": False})
@action(detail=False, methods=['post'])
@action(detail=False, methods=["post"])
def region_check_all_adventures(self, request):
adventures = Location.objects.filter(user=request.user.id, type='visited')
adventures = Location.objects.filter(user=request.user.id, type="visited")
count = 0
for adventure in adventures:
if adventure.latitude is not None and adventure.longitude is not None:
try:
point = Point(float(adventure.longitude), float(adventure.latitude), srid=4326)
point = Point(
float(adventure.longitude), float(adventure.latitude), srid=4326
)
region = Region.objects.filter(geometry__contains=point).first()
if region:
if not VisitedRegion.objects.filter(user=request.user.id, region=region).exists():
VisitedRegion.objects.create(user=request.user, region=region)
if not VisitedRegion.objects.filter(
user=request.user.id, region=region
).exists():
VisitedRegion.objects.create(
user=request.user, region=region
)
count += 1
except Exception as e:
print(f"Error processing adventure {adventure.id}: {e}")
continue
return Response({'regions_visited': count})
return Response({"regions_visited": count})
class RegionViewSet(viewsets.ReadOnlyModelViewSet):
queryset = Region.objects.all()
serializer_class = RegionSerializer
permission_classes = [IsAuthenticated]
class VisitedRegionViewSet(viewsets.ModelViewSet):
serializer_class = VisitedRegionSerializer
permission_classes = [IsAuthenticated]
def get_queryset(self):
return VisitedRegion.objects.filter(user=self.request.user.id)
def perform_create(self, serializer):
serializer.save(user=self.request.user)
def create(self, request, *args, **kwargs):
request.data['user'] = request.user
if VisitedRegion.objects.filter(user=request.user.id, region=request.data['region']).exists():
request.data["user"] = request.user
if VisitedRegion.objects.filter(
user=request.user.id, region=request.data["region"]
).exists():
return Response({"error": "Region already visited by user."}, status=400)
serializer = self.get_serializer(data=request.data)
serializer.is_valid(raise_exception=True)
self.perform_create(serializer)
headers = self.get_success_headers(serializer.data)
return Response(serializer.data, status=status.HTTP_201_CREATED, headers=headers)
return Response(
serializer.data, status=status.HTTP_201_CREATED, headers=headers
)
def destroy(self, request, **kwargs):
region = get_object_or_404(Region, id=kwargs['pk'])
visited_region = VisitedRegion.objects.filter(user=request.user.id, region=region)
region = get_object_or_404(Region, id=kwargs["pk"])
visited_region = VisitedRegion.objects.filter(
user=request.user.id, region=region
)
if visited_region.exists():
visited_region.delete()
return Response(status=status.HTTP_204_NO_CONTENT)
else:
return Response({"error": "Visited region not found."}, status=status.HTTP_404_NOT_FOUND)
return Response(
{"error": "Visited region not found."}, status=status.HTTP_404_NOT_FOUND
)
class VisitedCityViewSet(viewsets.ModelViewSet):
serializer_class = VisitedCitySerializer
permission_classes = [IsAuthenticated]
def get_queryset(self):
return VisitedCity.objects.filter(user=self.request.user.id)
def perform_create(self, serializer):
serializer.save(user=self.request.user)
def create(self, request, *args, **kwargs):
request.data['user'] = request.user
request.data["user"] = request.user
serializer = self.get_serializer(data=request.data)
serializer.is_valid(raise_exception=True)
self.perform_create(serializer)
# Ensure a VisitedRegion exists for the city
region = serializer.validated_data['city'].region
if not VisitedRegion.objects.filter(user=request.user.id, region=region).exists():
region = serializer.validated_data["city"].region
if not VisitedRegion.objects.filter(
user=request.user.id, region=region
).exists():
VisitedRegion.objects.create(user=request.user, region=region)
headers = self.get_success_headers(serializer.data)
return Response(serializer.data, status=status.HTTP_201_CREATED, headers=headers)
return Response(
serializer.data, status=status.HTTP_201_CREATED, headers=headers
)
def destroy(self, request, **kwargs):
city = get_object_or_404(City, id=kwargs['pk'])
city = get_object_or_404(City, id=kwargs["pk"])
visited_city = VisitedCity.objects.filter(user=request.user.id, city=city)
if visited_city.exists():
visited_city.delete()
return Response(status=status.HTTP_204_NO_CONTENT)
else:
return Response({"error": "Visited city not found."}, status=status.HTTP_404_NOT_FOUND)
return Response(
{"error": "Visited city not found."}, status=status.HTTP_404_NOT_FOUND
)