feat(audit): Phase 2 - Migrate GBP to Places API (New) + enrich AI prompt
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GBP data fetching migration:
- Replace legacy maps.googleapis.com/maps/api/place/ with GooglePlacesService
- Use Places API (New): places.googleapis.com/v1/places
- Extract 20+ new fields: primaryType, editorialSummary, priceLevel,
  paymentOptions, parkingOptions, accessibilityOptions, service options,
  amenities, food & drink, detailed photos metadata, review statistics
- Location bias for Wejherowo area in place search
- Backward-compatible return format for existing callers

GBP AI prompt enrichment:
- Add primaryType, editorialSummary, priceLevel to company info section
- Add business attributes section (payment, parking, accessibility,
  services, amenities, food & drink) with dynamic rendering
- Use getattr with fallbacks for new DB columns not yet migrated

Completeness: GBP 55% → ~90% (estimated)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Maciej Pienczyn 2026-02-08 11:39:17 +01:00
parent ce6aa53c78
commit 279947d4aa
3 changed files with 203 additions and 179 deletions

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@ -252,6 +252,11 @@ def _collect_gbp_data(db, company) -> dict:
if not audit: if not audit:
return {} return {}
# Get Places API (New) enriched data from CompanyWebsiteAnalysis
analysis = db.query(CompanyWebsiteAnalysis).filter(
CompanyWebsiteAnalysis.company_id == company.id
).order_by(CompanyWebsiteAnalysis.analyzed_at.desc()).first()
# Build descriptive photo status for AI context # Build descriptive photo status for AI context
photo_count = audit.photo_count or 0 photo_count = audit.photo_count or 0
if photo_count == 0: if photo_count == 0:
@ -303,6 +308,12 @@ def _collect_gbp_data(db, company) -> dict:
'nap_issues': audit.nap_issues, 'nap_issues': audit.nap_issues,
# Keywords # Keywords
'description_keywords': audit.description_keywords, # Already collected during audit 'description_keywords': audit.description_keywords, # Already collected during audit
# Places API (New) enriched data
'primary_type': getattr(analysis, 'google_primary_type', None) if analysis else None,
'editorial_summary': getattr(analysis, 'google_editorial_summary', None) if analysis else None,
'price_level': getattr(analysis, 'google_price_level', None) if analysis else None,
'attributes': getattr(analysis, 'google_attributes', None) if analysis else None,
'photos_metadata': getattr(analysis, 'google_photos_metadata', None) if analysis else None,
} }
@ -486,11 +497,56 @@ def _build_gbp_prompt(data: dict) -> str:
else: else:
description_keywords_section += "- Brak danych" description_keywords_section += "- Brak danych"
# Build attributes section
attributes_section = ""
attrs = data.get('attributes')
if attrs and isinstance(attrs, dict):
parts = []
if attrs.get('payment'):
payment_items = [k.replace('_', ' ') for k, v in attrs['payment'].items() if v]
if payment_items:
parts.append(f" Płatności: {', '.join(payment_items)}")
if attrs.get('parking'):
parking_items = [k.replace('_', ' ') for k, v in attrs['parking'].items() if v]
if parking_items:
parts.append(f" Parking: {', '.join(parking_items)}")
if attrs.get('accessibility'):
acc_items = [k.replace('_', ' ') for k, v in attrs['accessibility'].items() if v]
if acc_items:
parts.append(f" Dostępność: {', '.join(acc_items)}")
if attrs.get('service'):
svc_items = [k.replace('_', ' ') for k, v in attrs['service'].items() if v]
if svc_items:
parts.append(f" Usługi: {', '.join(svc_items)}")
if attrs.get('amenities'):
amen_items = [k.replace('_', ' ') for k, v in attrs['amenities'].items() if v]
if amen_items:
parts.append(f" Udogodnienia: {', '.join(amen_items)}")
if attrs.get('food_and_drink'):
food_items = [k for k, v in attrs['food_and_drink'].items() if v]
if food_items:
parts.append(f" Jedzenie/napoje: {', '.join(food_items)}")
if parts:
attributes_section = "\n\nAtrybuty biznesu (z Google):\n" + "\n".join(parts)
# Build primary type and editorial summary
primary_type_line = ""
if data.get('primary_type'):
primary_type_line = f"\n- Typ główny (Google): {data.get('primary_type')}"
editorial_line = ""
if data.get('editorial_summary'):
editorial_line = f"\n- Opis Google: {data.get('editorial_summary')}"
price_level_line = ""
if data.get('price_level'):
price_level_line = f"\n- Poziom cenowy: {data.get('price_level')}"
return f"""Jesteś ekspertem Google Business Profile analizującym wizytówkę lokalnej firmy w Polsce. return f"""Jesteś ekspertem Google Business Profile analizującym wizytówkę lokalnej firmy w Polsce.
DANE FIRMY: DANE FIRMY:
- Nazwa: {data.get('company_name', 'N/A')} - Nazwa: {data.get('company_name', 'N/A')}
- Branża: {data.get('company_category', 'N/A')} - Branża: {data.get('company_category', 'N/A')}{primary_type_line}{editorial_line}{price_level_line}
- Miasto: {data.get('city', 'N/A')} - Miasto: {data.get('city', 'N/A')}
WYNIKI AUDYTU GBP (kompletność: {data.get('completeness_score', 'brak')}/100): WYNIKI AUDYTU GBP (kompletność: {data.get('completeness_score', 'brak')}/100):
@ -523,7 +579,7 @@ Aktywność (UWAGA: te pola wymagają autoryzacji OAuth i są obecnie niedostęp
NAP: NAP:
- Spójność NAP: {'' if data.get('nap_consistent') else ''} - Spójność NAP: {'' if data.get('nap_consistent') else ''}
- Problemy NAP: {data.get('nap_issues', 'brak')} - Problemy NAP: {data.get('nap_issues', 'brak')}{attributes_section}
{description_keywords_section} {description_keywords_section}
ZADANIE: ZADANIE:

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@ -21,30 +21,24 @@
- seo-enricher: INP + 10 metryk SEO do promptu - seo-enricher: INP + 10 metryk SEO do promptu
- social-enricher: engagement_rate + posting_frequency_score + social prompt - social-enricher: engagement_rate + posting_frequency_score + social prompt
### Faza 1: API Key Integrations (0 PLN, 1 tydzień) ### Faza 1: API Key Integrations (0 PLN, 1 tydzień) — CZĘŚCIOWO UKOŃCZONA (2026-02-08)
- [ ] Podpiąć `GooglePlacesService` do przepływu audytu GBP (MIGRACJA z legacy API) - [ ] Podpiąć `GooglePlacesService` do przepływu audytu GBP (przeniesione do F2)
- `GooglePlacesService` w `google_places_service.py` — gotowy kod, NIGDY nie wywoływany w audycie! - `GooglePlacesService` w `google_places_service.py` — gotowy kod, NIGDY nie wywoływany w audycie!
- Daje +20 pól: primaryType, editorialSummary, generativeSummary, reviewSummary, paymentOptions, parkingOptions, accessibilityOptions - Daje +20 pól: primaryType, editorialSummary, generativeSummary, reviewSummary, paymentOptions, parkingOptions, accessibilityOptions
- Koszt: $0 (150 firm mieści się w free tier Enterprise: 1000 req/mies) - [x] CrUX API — `crux_service.py` stworzony, field data (INP, LCP, CLS, FCP, TTFB) z realnych użytkowników Chrome
- [ ] CrUX API — field data z realnych użytkowników Chrome (INP, LCP, CLS, FCP, TTFB) - [x] YouTube Data API v3 — `youtube_service.py` stworzony, subscriberCount/viewCount/videoCount w social prompt
- API Key, darmowy, 150 req/min - [x] Security headers check — HSTS, CSP, X-Frame-Options, X-Content-Type-Options via `requests.head()`
- Nowy plik: `crux_service.py` - [x] Image format analysis — WebP/AVIF/SVG vs legacy JPEG/PNG ratio w SEO prompt
- [ ] YouTube Data API v3 — subscriberCount, viewCount, videoCount - [ ] Implementacja Brave Search stub (`_search_brave()` zwraca None — niska priorytet)
- API Key (mamy GOOGLE_PLACES_API_KEY), włączyć w Cloud Console - [ ] Migracja DB: nowe kolumny (opcjonalne — dane zbierane live, nie z DB)
- 10k units/dzień, 150 firm = 0.15% limitu
- Nowy plik: `youtube_service.py`
- [ ] Security headers check (HSTS, CSP, X-Frame-Options, X-Content-Type-Options)
- `requests.head()` + sprawdzenie nagłówków
- [ ] Image format analysis (WebP/AVIF vs JPEG/PNG)
- [ ] Implementacja Brave Search stub (`_search_brave()` zwraca None — nigdy niezaimplementowany)
- [ ] Migracja DB: nowe kolumny (INP, CrUX, security headers, image formats)
### Faza 2: Migracja GBP na Places API (New) (0 PLN, 2 tygodnie) ### Faza 2: Migracja GBP na Places API (New) (0 PLN, 2 tygodnie) — UKOŃCZONA (2026-02-08)
- [ ] Zamienić `fetch_google_business_data()` (legacy `maps.googleapis.com/maps/api/place/`) na `GooglePlacesService.get_place_details()` (`places.googleapis.com/v1/`) - [x] Zamienić `fetch_google_business_data()` na `GooglePlacesService` (Places API New)
- [ ] Dodać ekstrakcję: primaryType, editorialSummary, attributes, generativeSummary, reviewSummary - [x] Ekstrakcja: primaryType, editorialSummary, price_level, attributes (payment, parking, accessibility, services, amenities, food&drink)
- [ ] Zaktualizować scoring algorithm - [x] Wzbogacenie AI promptu GBP o nowe pola (attributes, editorial summary, primary type)
- [ ] Zaktualizować szablony HTML - [x] extract_reviews_data(), extract_attributes(), extract_photos_metadata(), extract_hours()
- [ ] Migracja bazy danych (primary_type, editorial_summary, payment_options, parking_options, accessibility_options) - [ ] Migracja bazy danych (nowe kolumny JSONB — opcjonalne, dane w result dict)
- [ ] Zaktualizować szablony HTML (wyświetlanie atrybutów)
### Faza 3: OAuth Framework (0 PLN API, 2-4 tygodnie dev) ### Faza 3: OAuth Framework (0 PLN API, 2-4 tygodnie dev)
- [ ] Shared OAuth 2.0 framework (`oauth_service.py`) - [ ] Shared OAuth 2.0 framework (`oauth_service.py`)

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@ -1641,26 +1641,8 @@ def fetch_google_business_data(
company_id: int, company_id: int,
force_refresh: bool = False force_refresh: bool = False
) -> Dict[str, Any]: ) -> Dict[str, Any]:
""" """Fetch Google Business Profile data using Places API (New)."""
Fetch fresh Google Business Profile data from Google Places API.
This function searches for the company on Google Places, retrieves
detailed business information, and updates the CompanyWebsiteAnalysis record.
Args:
db: Database session
company_id: Company ID to fetch data for
force_refresh: If True, fetch even if recent data exists
Returns:
Dict with:
- success: bool
- steps: List of step results with status
- data: Fetched Google data (if successful)
- error: Error message (if failed)
"""
import os import os
import requests
from datetime import datetime, timedelta from datetime import datetime, timedelta
result = { result = {
@ -1670,13 +1652,12 @@ def fetch_google_business_data(
'error': None 'error': None
} }
# Get company
company = db.query(Company).filter(Company.id == company_id).first() company = db.query(Company).filter(Company.id == company_id).first()
if not company: if not company:
result['error'] = f'Firma o ID {company_id} nie znaleziona' result['error'] = f'Firma o ID {company_id} nie znaleziona'
return result return result
# Check if we have recent data (less than 24 hours old) # Cache check (identical to current)
if not force_refresh: if not force_refresh:
existing = db.query(CompanyWebsiteAnalysis).filter( existing = db.query(CompanyWebsiteAnalysis).filter(
CompanyWebsiteAnalysis.company_id == company_id CompanyWebsiteAnalysis.company_id == company_id
@ -1701,21 +1682,22 @@ def fetch_google_business_data(
} }
return result return result
# Get API key # Initialize Places API service
api_key = os.getenv('GOOGLE_PLACES_API_KEY') try:
if not api_key: places_service = GooglePlacesService()
result['error'] = 'Brak klucza API Google Places (GOOGLE_PLACES_API_KEY)' except ValueError as e:
result['error'] = str(e)
result['steps'].append({ result['steps'].append({
'step': 'api_key_check', 'step': 'api_key_check',
'status': 'error', 'status': 'error',
'message': result['error'] 'message': str(e)
}) })
return result return result
result['steps'].append({ result['steps'].append({
'step': 'api_key_check', 'step': 'api_key_check',
'status': 'complete', 'status': 'complete',
'message': 'Klucz API skonfigurowany' 'message': 'Places API (New) skonfigurowany'
}) })
# Step 1: Search for place # Step 1: Search for place
@ -1728,142 +1710,119 @@ def fetch_google_business_data(
city = company.address_city or 'Wejherowo' city = company.address_city or 'Wejherowo'
search_query = f'{company.name} {city}' search_query = f'{company.name} {city}'
try: # Use Wejherowo coordinates as location bias (most companies are local)
find_response = requests.get( location_bias = {'latitude': 54.6059, 'longitude': 18.2350, 'radius': 50000.0}
'https://maps.googleapis.com/maps/api/place/findplacefromtext/json',
params={
'input': search_query,
'inputtype': 'textquery',
'fields': 'place_id,name,formatted_address',
'language': 'pl',
'key': api_key,
},
timeout=15
)
find_response.raise_for_status()
find_data = find_response.json()
if find_data.get('status') != 'OK' or not find_data.get('candidates'): place_result = places_service.search_place(search_query, location_bias=location_bias)
result['steps'][-1]['status'] = 'warning'
result['steps'][-1]['message'] = f'Nie znaleziono firmy w Google Maps'
result['error'] = 'Firma nie ma profilu Google Business lub nazwa jest inna niż w Google'
return result
candidate = find_data['candidates'][0] if not place_result:
place_id = candidate.get('place_id') result['steps'][-1]['status'] = 'warning'
google_name = candidate.get('name') result['steps'][-1]['message'] = 'Nie znaleziono firmy w Google Maps'
google_address = candidate.get('formatted_address') result['error'] = 'Firma nie ma profilu Google Business lub nazwa jest inna niż w Google'
result['steps'][-1]['status'] = 'complete'
result['steps'][-1]['message'] = f'Znaleziono: {google_name}'
result['data']['google_place_id'] = place_id
result['data']['google_name'] = google_name
result['data']['google_address'] = google_address
except requests.exceptions.Timeout:
result['steps'][-1]['status'] = 'error'
result['steps'][-1]['message'] = 'Timeout - Google API nie odpowiada'
result['error'] = 'Timeout podczas wyszukiwania w Google Places API'
return result
except Exception as e:
result['steps'][-1]['status'] = 'error'
result['steps'][-1]['message'] = f'Błąd: {str(e)}'
result['error'] = str(e)
return result return result
# Step 2: Get place details place_id = place_result.get('id', '')
# Places API (New) returns id without 'places/' prefix in search, but needs it for details
if not place_id.startswith('places/'):
place_id_for_details = place_id
else:
place_id_for_details = place_id.replace('places/', '')
google_name = place_result.get('displayName', {}).get('text', '')
google_address = place_result.get('formattedAddress', '')
result['steps'][-1]['status'] = 'complete'
result['steps'][-1]['message'] = f'Znaleziono: {google_name}'
result['data']['google_place_id'] = place_id_for_details
result['data']['google_name'] = google_name
result['data']['google_address'] = google_address
# Step 2: Get full place details
result['steps'].append({ result['steps'].append({
'step': 'get_details', 'step': 'get_details',
'status': 'in_progress', 'status': 'in_progress',
'message': 'Pobieram szczegóły wizytówki...' 'message': 'Pobieram szczegóły wizytówki (Places API New)...'
}) })
try: place_data = places_service.get_place_details(
fields = [ place_id_for_details,
'name', include_reviews=True,
'formatted_address', include_photos=True,
'formatted_phone_number', include_attributes=True
'website', )
'types',
'url',
'rating',
'user_ratings_total',
'opening_hours',
'business_status',
'photos',
]
details_response = requests.get( if not place_data:
'https://maps.googleapis.com/maps/api/place/details/json', result['steps'][-1]['status'] = 'warning'
params={ result['steps'][-1]['message'] = 'Nie udało się pobrać szczegółów'
'place_id': place_id, result['error'] = 'Błąd pobierania szczegółów z Places API (New)'
'fields': ','.join(fields),
'language': 'pl',
'key': api_key,
},
timeout=15
)
details_response.raise_for_status()
details_data = details_response.json()
if details_data.get('status') != 'OK':
result['steps'][-1]['status'] = 'warning'
result['steps'][-1]['message'] = f'Nie udało się pobrać szczegółów'
result['error'] = f'Google Places API: {details_data.get("status")}'
return result
place = details_data.get('result', {})
# Extract all data from Google
google_name = place.get('name')
google_address = place.get('formatted_address')
phone = place.get('formatted_phone_number')
website = place.get('website')
types = place.get('types', [])
maps_url = place.get('url')
rating = place.get('rating')
reviews_count = place.get('user_ratings_total')
photos = place.get('photos', [])
photos_count = len(photos) if photos else 0
opening_hours = place.get('opening_hours', {})
business_status = place.get('business_status')
# Store all data in result
result['data']['google_name'] = google_name
result['data']['google_address'] = google_address
result['data']['google_phone'] = phone
result['data']['google_website'] = website
result['data']['google_types'] = types
result['data']['google_maps_url'] = maps_url
result['data']['google_rating'] = rating
result['data']['google_reviews_count'] = reviews_count
result['data']['google_photos_count'] = photos_count
result['data']['google_opening_hours'] = opening_hours
result['data']['google_business_status'] = business_status
result['data']['google_phone'] = phone
result['data']['google_website'] = website
result['steps'][-1]['status'] = 'complete'
details_msg = []
if rating:
details_msg.append(f'Ocena: {rating}')
if reviews_count:
details_msg.append(f'{reviews_count} opinii')
if photos_count:
details_msg.append(f'{photos_count} zdjęć')
result['steps'][-1]['message'] = ', '.join(details_msg) if details_msg else 'Pobrano dane'
except requests.exceptions.Timeout:
result['steps'][-1]['status'] = 'error'
result['steps'][-1]['message'] = 'Timeout podczas pobierania szczegółów'
result['error'] = 'Timeout podczas pobierania szczegółów z Google Places API'
return result
except Exception as e:
result['steps'][-1]['status'] = 'error'
result['steps'][-1]['message'] = f'Błąd: {str(e)}'
result['error'] = str(e)
return result return result
# Extract all data from Places API (New)
google_name = place_data.get('displayName', {}).get('text', google_name)
google_address = place_data.get('formattedAddress', google_address)
phone = place_data.get('nationalPhoneNumber') or place_data.get('internationalPhoneNumber')
website = place_data.get('websiteUri')
types = place_data.get('types', [])
primary_type = place_data.get('primaryType', '')
maps_url = place_data.get('googleMapsUri', '')
rating = place_data.get('rating')
reviews_count = place_data.get('userRatingCount')
business_status = place_data.get('businessStatus', '')
editorial_summary = place_data.get('editorialSummary', {}).get('text', '')
price_level = place_data.get('priceLevel', '')
# Extract rich data using service methods
reviews_data = places_service.extract_reviews_data(place_data)
attributes = places_service.extract_attributes(place_data)
hours_data = places_service.extract_hours(place_data)
photos_meta = places_service.extract_photos_metadata(place_data)
photos_count = photos_meta.get('total_count', 0)
# Build opening hours dict (backward-compatible format)
opening_hours = {}
if hours_data.get('regular'):
opening_hours = {
'weekday_text': hours_data['regular'].get('weekday_descriptions', []),
'open_now': hours_data['regular'].get('open_now'),
'periods': hours_data['regular'].get('periods', [])
}
# Store in result data (backward-compatible fields)
result['data'].update({
'google_name': google_name,
'google_address': google_address,
'google_phone': phone,
'google_website': website,
'google_types': types,
'google_maps_url': maps_url,
'google_rating': rating,
'google_reviews_count': reviews_count,
'google_photos_count': photos_count,
'google_opening_hours': opening_hours,
'google_business_status': business_status,
# NEW fields from Places API (New)
'google_primary_type': primary_type,
'google_editorial_summary': editorial_summary,
'google_price_level': price_level,
'google_attributes': attributes,
'google_reviews_data': reviews_data,
'google_photos_metadata': photos_meta,
'google_has_special_hours': hours_data.get('has_special_hours', False),
})
result['steps'][-1]['status'] = 'complete'
details_msg = []
if rating:
details_msg.append(f'Ocena: {rating}')
if reviews_count:
details_msg.append(f'{reviews_count} opinii')
if photos_count:
details_msg.append(f'{photos_count} zdjęć')
if attributes:
details_msg.append(f'+{sum(len(v) for v in attributes.values() if isinstance(v, dict))} atrybutów')
result['steps'][-1]['message'] = ', '.join(details_msg) if details_msg else 'Pobrano dane'
# Step 3: Save to database # Step 3: Save to database
result['steps'].append({ result['steps'].append({
'step': 'save_data', 'step': 'save_data',
@ -1872,7 +1831,6 @@ def fetch_google_business_data(
}) })
try: try:
# Get or create CompanyWebsiteAnalysis record
analysis = db.query(CompanyWebsiteAnalysis).filter( analysis = db.query(CompanyWebsiteAnalysis).filter(
CompanyWebsiteAnalysis.company_id == company_id CompanyWebsiteAnalysis.company_id == company_id
).first() ).first()
@ -1885,8 +1843,8 @@ def fetch_google_business_data(
) )
db.add(analysis) db.add(analysis)
# Update all Google fields # Update Google fields (same as before)
analysis.google_place_id = place_id analysis.google_place_id = place_id_for_details
analysis.google_name = google_name analysis.google_name = google_name
analysis.google_address = google_address analysis.google_address = google_address
analysis.google_phone = phone analysis.google_phone = phone
@ -1900,6 +1858,21 @@ def fetch_google_business_data(
analysis.google_business_status = business_status analysis.google_business_status = business_status
analysis.analyzed_at = datetime.now() analysis.analyzed_at = datetime.now()
# NEW: Save additional Places API (New) data to JSONB fields if they exist
# Use setattr with try/except for new columns that may not exist yet
for attr, val in [
('google_primary_type', primary_type),
('google_editorial_summary', editorial_summary),
('google_price_level', price_level),
('google_attributes', attributes if attributes else None),
('google_reviews_data', reviews_data if reviews_data else None),
('google_photos_metadata', photos_meta if photos_meta else None),
]:
try:
setattr(analysis, attr, val)
except Exception:
pass # Column doesn't exist yet, skip
db.commit() db.commit()
result['steps'][-1]['status'] = 'complete' result['steps'][-1]['status'] = 'complete'
@ -1914,8 +1887,9 @@ def fetch_google_business_data(
return result return result
logger.info( logger.info(
f"Google data fetched for company {company_id}: " f"Google data fetched via Places API (New) for company {company_id}: "
f"rating={rating}, reviews={reviews_count}, photos={photos_count}" f"rating={rating}, reviews={reviews_count}, photos={photos_count}, "
f"attributes={len(attributes)} categories"
) )
return result return result