update
Browse files- app/routes/google_ads.py.bak +188 -0
app/routes/google_ads.py.bak
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| 1 |
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from flask import Blueprint, render_template, request, jsonify, current_app
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from flask_login import login_required, current_user
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from app.services.google_scraper import GoogleAdsScraper
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from app.models.google_ad import GoogleAd
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from app.services.ai_processor import AIPipeline
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from app import db, celery
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import logging
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logger = logging.getLogger(__name__)
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google_ads_bp = Blueprint('google_ads', __name__, url_prefix='/google-ads')
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@google_ads_bp.route('/', methods=['GET'])
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@login_required
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def index():
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"""Google Ads dashboard page."""
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return render_template('google_ads/index.html')
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@google_ads_bp.route('/search', methods=['GET', 'POST'])
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@login_required
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def search_ads():
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"""Search for Google Ads."""
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if request.method == 'POST':
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search_query = request.form.get('query')
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num_pages = int(request.form.get('num_pages', 3))
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# Start async task for scraping
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task = scrape_google_search_ads.delay(search_query, num_pages, current_user.id)
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return jsonify({
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'status': 'success',
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'message': 'Google Ads scraping started',
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'task_id': task.id
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})
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# GET request - show search form
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return render_template('google_ads/search.html')
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@google_ads_bp.route('/display', methods=['GET', 'POST'])
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@login_required
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def display_ads():
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"""Scrape display ads from a URL."""
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if request.method == 'POST':
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target_url = request.form.get('url')
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scroll_count = int(request.form.get('scroll_count', 5))
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# Start async task for scraping
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task = scrape_google_display_ads.delay(target_url, scroll_count, current_user.id)
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return jsonify({
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'status': 'success',
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'message': 'Google Display Ads scraping started',
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'task_id': task.id
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})
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# GET request - show form
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return render_template('google_ads/display.html')
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@google_ads_bp.route('/results', methods=['GET'])
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@login_required
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def view_results():
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"""View Google Ads results."""
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ad_type = request.args.get('type', 'all')
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query = request.args.get('query', '')
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# Build query
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ads_query = GoogleAd.query
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if ad_type != 'all':
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ads_query = ads_query.filter(GoogleAd.ad_type == ad_type)
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if query:
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ads_query = ads_query.filter(
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(GoogleAd.title.ilike(f'%{query}%')) |
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(GoogleAd.description.ilike(f'%{query}%')) |
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(GoogleAd.search_query.ilike(f'%{query}%'))
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)
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# Get results
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ads = ads_query.order_by(GoogleAd.created_at.desc()).all()
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return render_template('google_ads/results.html', ads=ads, ad_type=ad_type, query=query)
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@google_ads_bp.route('/api/ads', methods=['GET'])
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@login_required
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def api_get_ads():
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"""API endpoint to get Google Ads data."""
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ad_type = request.args.get('type', 'all')
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query = request.args.get('query', '')
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limit = int(request.args.get('limit', 50))
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# Build query
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ads_query = GoogleAd.query
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if ad_type != 'all':
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ads_query = ads_query.filter(GoogleAd.ad_type == ad_type)
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if query:
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ads_query = ads_query.filter(
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(GoogleAd.title.ilike(f'%{query}%')) |
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(GoogleAd.description.ilike(f'%{query}%')) |
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(GoogleAd.search_query.ilike(f'%{query}%'))
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)
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# Get results
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ads = ads_query.order_by(GoogleAd.created_at.desc()).limit(limit).all()
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# Convert to JSON
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result = []
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for ad in ads:
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ad_data = {
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'id': ad.id,
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'ad_type': ad.ad_type,
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'title': ad.title,
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'description': ad.description,
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'display_url': ad.display_url,
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'target_url': ad.target_url,
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'image_url': ad.image_url,
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'position': ad.position,
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'search_query': ad.search_query,
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'page_url': ad.page_url,
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'sentiment': ad.sentiment,
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'created_at': ad.created_at.isoformat() if ad.created_at else None
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}
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result.append(ad_data)
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return jsonify(result)
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@celery.task
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def scrape_google_search_ads(search_query, num_pages, user_id):
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"""Celery task to scrape Google search ads."""
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| 131 |
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try:
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scraper = GoogleAdsScraper()
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| 133 |
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ads_data = scraper.scrape_search_ads(search_query, num_pages)
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# Process and store ads
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ai_pipeline = AIPipeline()
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for ad_data in ads_data:
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# Create GoogleAd instance
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ad = GoogleAd.from_search_ad_data(ad_data, search_query, user_id)
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| 141 |
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# Process with AI if there's content
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if ad.title or ad.description:
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try:
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# Create a simple object with content for AI processing
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ad_content = type('obj', (object,), {
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| 147 |
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'content': f"{ad.title} {ad.description}"
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})
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| 149 |
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| 150 |
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# Process with AI
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| 151 |
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ai_results = ai_pipeline.process_ad(ad_content)
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| 152 |
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ad.sentiment = ai_results.get('sentiment')
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| 153 |
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except Exception as e:
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logger.error(f"Error processing ad with AI: {e}")
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# Save to database
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db.session.add(ad)
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db.session.commit()
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return {'status': 'success', 'count': len(ads_data)}
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| 162 |
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except Exception as e:
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| 163 |
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logger.error(f"Error in Google search ads scraping task: {e}")
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db.session.rollback()
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| 165 |
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return {'status': 'error', 'message': str(e)}
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| 166 |
+
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| 167 |
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@celery.task
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| 168 |
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def scrape_google_display_ads(target_url, scroll_count, user_id):
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| 169 |
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"""Celery task to scrape Google display ads."""
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| 170 |
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try:
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| 171 |
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scraper = GoogleAdsScraper()
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| 172 |
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ads_data = scraper.scrape_display_ads(target_url, scroll_count)
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| 173 |
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| 174 |
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# Process and store ads
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| 175 |
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for ad_data in ads_data:
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# Create GoogleAd instance
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| 177 |
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ad = GoogleAd.from_display_ad_data(ad_data, user_id)
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# Save to database
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| 180 |
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db.session.add(ad)
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db.session.commit()
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| 183 |
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return {'status': 'success', 'count': len(ads_data)}
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| 184 |
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except Exception as e:
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| 186 |
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logger.error(f"Error in Google display ads scraping task: {e}")
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| 187 |
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db.session.rollback()
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| 188 |
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return {'status': 'error', 'message': str(e)}
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