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scrape_workflow.py
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"""
Scrape Workflow Orchestrator
Coordinates the complete scraping pipeline.
"""
import json
from datetime import datetime
from typing import List, Dict, Optional, Any
from supabase import create_client, Client
from card_master_manager import CardMasterManager, MasterCard
from card_matcher import CardMatcher
from targeted_scraper import TargetedScraper, ScrapedCardData
from data_merger import DataMerger, MergedCardData
from card_identity_manager import SmartDuplicateDetector, CardFingerprintGenerator
from credit_card_uploader import CreditCardUploader
from config import load_config
from logger_config import get_logger
logger = get_logger(__name__)
class ScrapeWorkflow:
"""Orchestrates the complete scraping workflow."""
def __init__(self, delay: float = 2.0):
"""Initialize workflow components."""
self.config = load_config()
# Initialize components
self.master_manager = CardMasterManager()
self.scraper = TargetedScraper(delay=delay)
self.merger = DataMerger()
self.uploader = CreditCardUploader()
self.fingerprint_gen = CardFingerprintGenerator()
# Supabase client for scraped_card_data
url = self.config.get('supabase_url')
key = self.config.get('supabase_key')
self.db: Client = create_client(url, key)
logger.info("ScrapeWorkflow initialized")
def run(self, limit: Optional[int] = None,
skip_scrape: bool = False,
skip_upload: bool = False) -> Dict[str, Any]:
"""
Execute complete scrape workflow.
Args:
limit: Optional limit on number of cards to process
skip_scrape: Skip scraping (use existing scraped_card_data)
skip_upload: Skip final upload to cards table
Returns:
Summary statistics
"""
stats = {
'started_at': datetime.now().isoformat(),
'cards_processed': 0,
'cards_found': 0,
'cards_not_found': 0,
'cards_uploaded': 0,
'errors': []
}
try:
# Step 1: Load master cards
logger.info("Step 1: Loading master cards from database")
master_cards = self.master_manager.get_all_active_cards()
if limit:
master_cards = master_cards[:limit]
logger.info(f" Loaded {len(master_cards)} master cards")
# Step 2: Scrape each card
if not skip_scrape:
logger.info("Step 2: Scraping cards from web sources")
for i, card in enumerate(master_cards, 1):
logger.info(f" [{i}/{len(master_cards)}] {card.canonical_name}")
try:
scraped_data = self.scraper.scrape_card(card)
self._store_scraped_data(card, scraped_data)
if scraped_data:
stats['cards_found'] += 1
else:
stats['cards_not_found'] += 1
stats['cards_processed'] += 1
except Exception as e:
logger.error(f"Error scraping {card.canonical_name}: {e}")
stats['errors'].append({
'card': card.canonical_name,
'phase': 'scrape',
'error': str(e)
})
else:
logger.info("Step 2: Skipping scrape (using existing data)")
stats['cards_processed'] = len(master_cards)
# Step 3: Merge data for each card
logger.info("Step 3: Merging data from multiple sources")
merged_cards = []
for card in master_cards:
try:
scraped_records = self._get_scraped_data(card.id)
if scraped_records:
merged = self.merger.merge_card_data(
card.id,
scraped_records,
card.canonical_name,
card.canonical_issuer
)
merged_cards.append(merged)
except Exception as e:
logger.error(f"Error merging {card.canonical_name}: {e}")
stats['errors'].append({
'card': card.canonical_name,
'phase': 'merge',
'error': str(e)
})
logger.info(f" Merged {len(merged_cards)} cards")
# Step 4: Deduplicate
logger.info("Step 4: Deduplicating merged data")
deduplicated = self._deduplicate(merged_cards)
logger.info(f" {len(deduplicated)} cards after deduplication")
# Step 5: Upload to database
if not skip_upload:
logger.info("Step 5: Uploading to cards table")
upload_result = self._upload_cards(deduplicated)
stats['cards_uploaded'] = upload_result.get('cards_inserted', 0) + upload_result.get('cards_updated', 0)
logger.info(f" Uploaded {stats['cards_uploaded']} cards")
else:
logger.info("Step 5: Skipping upload")
stats['completed_at'] = datetime.now().isoformat()
logger.info(f"Workflow complete: {stats}")
return stats
except Exception as e:
logger.error(f"Workflow failed: {e}")
stats['errors'].append({'phase': 'workflow', 'error': str(e)})
stats['completed_at'] = datetime.now().isoformat()
return stats
def _store_scraped_data(self, card: MasterCard, scraped_list: List[ScrapedCardData]):
"""Store scraped data to scraped_card_data table."""
for scraped in scraped_list:
try:
data = {
'master_card_id': card.id,
'match_confidence': scraped.match_confidence,
'source_name': scraped.source_name,
'source_url': scraped.source_url,
'raw_data': scraped.raw_data,
'annual_fee': scraped.annual_fee,
'base_reward_rate': scraped.base_reward_rate,
'category_rewards': scraped.category_rewards,
'signup_bonus': scraped.signup_bonus,
'is_processed': False
}
self.db.table('scraped_card_data').insert(data).execute()
except Exception as e:
# Likely duplicate, skip
logger.debug(f"Could not store scraped data: {e}")
def _get_scraped_data(self, master_card_id: str) -> List[ScrapedCardData]:
"""Get scraped data for a master card (most recent per source)."""
response = self.db.table('scraped_card_data') \
.select('*') \
.eq('master_card_id', master_card_id) \
.order('scraped_at', desc=True) \
.execute()
# Dedupe by source (keep most recent)
by_source = {}
for row in response.data:
source = row['source_name']
if source not in by_source:
by_source[source] = ScrapedCardData(
master_card_id=row['master_card_id'],
source_name=row['source_name'],
source_url=row.get('source_url', ''),
match_confidence=row.get('match_confidence', 0.0),
raw_data=row.get('raw_data', {}),
annual_fee=row.get('annual_fee'),
base_reward_rate=row.get('base_reward_rate'),
category_rewards=row.get('category_rewards', []),
signup_bonus=row.get('signup_bonus')
)
return list(by_source.values())
def _deduplicate(self, merged_cards: List[MergedCardData]) -> List[MergedCardData]:
"""Deduplicate merged cards using fingerprinting."""
seen_fingerprints = set()
deduplicated = []
for card in merged_cards:
fingerprint, _ = self.fingerprint_gen.generate_semantic_fingerprint(
card.issuer,
card.name,
card.reward_program or '',
card.annual_fee or 0.0
)
if fingerprint not in seen_fingerprints:
seen_fingerprints.add(fingerprint)
deduplicated.append(card)
else:
logger.debug(f"Duplicate removed: {card.name}")
return deduplicated
def _upload_cards(self, merged_cards: List[MergedCardData]) -> Dict[str, Any]:
"""Upload merged cards to database."""
# Convert MergedCardData to dict format expected by uploader
cards_data = []
for mc in merged_cards:
card_dict = {
'card_key': mc.card_key,
'name': mc.name,
'issuer': mc.issuer,
'annual_fee': mc.annual_fee,
'base_reward_rate': mc.base_reward_rate,
'base_reward_unit': mc.base_reward_unit,
'reward_program': mc.reward_program,
'reward_currency': mc.reward_currency,
'point_valuation': mc.point_valuation,
'image_url': mc.image_url,
'apply_url': mc.apply_url,
'master_card_id': mc.master_card_id,
'category_rewards': mc.category_rewards,
'signup_bonus': mc.signup_bonus,
'sources': mc.sources,
'confidence_score': mc.confidence_score
}
cards_data.append(card_dict)
return self.uploader.upload_cards_from_dicts(cards_data)
# CLI
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='Scrape Workflow')
parser.add_argument('--limit', type=int, help='Limit cards to process')
parser.add_argument('--skip-scrape', action='store_true', help='Skip scraping')
parser.add_argument('--skip-upload', action='store_true', help='Skip upload')
parser.add_argument('--delay', type=float, default=2.0, help='Delay between requests')
args = parser.parse_args()
workflow = ScrapeWorkflow(delay=args.delay)
result = workflow.run(
limit=args.limit,
skip_scrape=args.skip_scrape,
skip_upload=args.skip_upload
)
print("\n=== Workflow Results ===")
print(f"Cards processed: {result['cards_processed']}")
print(f"Cards found: {result['cards_found']}")
print(f"Cards not found: {result['cards_not_found']}")
print(f"Cards uploaded: {result['cards_uploaded']}")
print(f"Errors: {len(result['errors'])}")
if result['errors']:
print("\nErrors:")
for err in result['errors']:
print(f" - {err}")