Flatten repo structure: move crawler/ to root, remove vqa/ and immoweb/
The crawler subdirectory was the only active project. Moving it to the repo root simplifies paths and removes the unnecessary nesting. The vqa/ and immoweb/ directories were legacy/unused and have been removed. Updated .drone.yml, .gitignore, .claude/ docs, and skills to reflect the new flat structure.
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221 changed files with 70 additions and 146140 deletions
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services/listing_fetcher.py
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211
services/listing_fetcher.py
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"""Listing fetcher service - fetches listing data from Rightmove API."""
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import asyncio
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import logging
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from config.scraper_config import ScraperConfig
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from listing_processor import ListingProcessor
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from rec.query import create_session, listing_query
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from rec.exceptions import CircuitBreakerOpenError, ThrottlingError
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from rec.throttle_detector import get_throttle_metrics, reset_throttle_metrics
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from models.listing import Listing, QueryParameters
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from repositories import ListingRepository
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from services.query_splitter import QuerySplitter, SubQuery
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logger = logging.getLogger("uvicorn.error")
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# Number of concurrent workers that process listing details (fetch details,
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# download images, run OCR) from the streaming queue in parallel.
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NUM_WORKERS = 20
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async def dump_listings_full(
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parameters: QueryParameters,
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repository: ListingRepository,
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) -> list[Listing]:
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"""Fetches all listings, images as well as detects floorplans."""
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new_listings = await dump_listings(parameters, repository)
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logger.debug(f"Upserted {len(new_listings)} new listings")
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new_listing_ids = [listing.id for listing in new_listings]
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return await repository.get_listings(only_ids=new_listing_ids)
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async def _fetch_subquery(
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sq: SubQuery,
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parameters: QueryParameters,
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session: object,
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config: ScraperConfig,
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semaphore: asyncio.Semaphore,
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existing_ids: set[int],
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queue: asyncio.Queue[int | None],
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) -> int:
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"""Fetch listing IDs for a single subquery and enqueue new ones.
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Iterates through pages of results for the given subquery, adding any
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newly discovered listing IDs to the processing queue.
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Args:
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sq: The subquery to fetch results for.
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parameters: The original query parameters (for page_size, etc.).
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session: The aiohttp session for making requests.
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config: Scraper configuration.
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semaphore: Concurrency limiter for HTTP requests.
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existing_ids: Set of already-known listing IDs (mutated in place).
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queue: Queue to push new listing IDs onto for processing.
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Returns:
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The number of new IDs discovered and enqueued.
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"""
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estimated = sq.estimated_results or 0
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if estimated == 0:
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return 0
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ids_found = 0
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page_size = parameters.page_size
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max_pages = min(
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config.max_pages_per_query,
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(estimated // page_size) + 1,
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)
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for page_id in range(1, max_pages + 1):
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async with semaphore:
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await asyncio.sleep(config.request_delay_ms / 1000)
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try:
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result = await listing_query(
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page=page_id,
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channel=parameters.listing_type,
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min_bedrooms=sq.min_bedrooms,
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max_bedrooms=sq.max_bedrooms,
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radius=parameters.radius,
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min_price=sq.min_price,
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max_price=sq.max_price,
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district=sq.district,
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page_size=page_size,
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max_days_since_added=parameters.max_days_since_added,
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furnish_types=parameters.furnish_types or [],
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session=session,
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config=config,
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)
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# Extract and enqueue new IDs inline
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properties = result.get("properties", [])
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for prop in properties:
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identifier = prop.get("identifier")
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if identifier and identifier not in existing_ids:
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existing_ids.add(identifier)
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ids_found += 1
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await queue.put(identifier)
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if len(properties) < page_size:
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break
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except CircuitBreakerOpenError as e:
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logger.error(f"Circuit breaker open: {e}")
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break
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except ThrottlingError as e:
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logger.warning(
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f"Throttling error on page {page_id} for "
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f"{sq.district}: {e}"
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)
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break
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except Exception as e:
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# Rightmove returns GENERIC_ERROR when requesting pages
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# past the last page of results. This is expected behavior
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# and signals we've exhausted this subquery's results.
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if "GENERIC_ERROR" in str(e):
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logger.debug(
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f"Max page for {sq.district}: {page_id - 1}"
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)
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break
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logger.warning(
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f"Error fetching page {page_id} for "
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f"{sq.district}: {e}"
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)
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break
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return ids_found
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async def dump_listings(
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parameters: QueryParameters,
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repository: ListingRepository,
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) -> list[Listing]:
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"""Fetch listings from Rightmove API and process them.
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Uses intelligent query splitting and a streaming pipeline so that
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listing processing starts as soon as IDs become available.
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"""
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config = ScraperConfig.from_env()
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splitter = QuerySplitter(config)
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# Reset throttle metrics at start
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reset_throttle_metrics()
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try:
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async with create_session(config) as session:
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# Phase 1: Split and probe queries
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logger.info("Splitting query and probing result counts...")
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subqueries = await splitter.split(parameters, session)
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total_estimated = splitter.calculate_total_estimated_results(subqueries)
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logger.info(
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f"Split into {len(subqueries)} subqueries, "
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f"estimated {total_estimated} total results"
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)
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# Load existing IDs (fast, ID-only projection)
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existing_ids = repository.get_listing_ids(parameters.listing_type)
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logger.info(f"Found {len(existing_ids)} existing listings in DB")
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# Phase 2: Streaming fetch & process
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queue: asyncio.Queue[int | None] = asyncio.Queue()
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semaphore = asyncio.Semaphore(config.max_concurrent_requests)
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processed_listings: list[Listing] = []
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async def producer() -> int:
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"""Fetch all subqueries and send sentinel values to workers."""
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tasks = [
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_fetch_subquery(
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sq, parameters, session, config,
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semaphore, existing_ids, queue,
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)
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for sq in subqueries
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]
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counts = await asyncio.gather(*tasks)
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ids_collected = sum(counts)
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logger.info(f"Fetch complete: {ids_collected} new IDs found")
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for _ in range(NUM_WORKERS):
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await queue.put(None)
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return ids_collected
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async def worker() -> None:
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while True:
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listing_id = await queue.get()
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if listing_id is None:
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break
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listing_processor = ListingProcessor(repository)
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listing = await listing_processor.process_listing(listing_id)
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if listing is not None:
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processed_listings.append(listing)
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results = await asyncio.gather(
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producer(),
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*[worker() for _ in range(NUM_WORKERS)],
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)
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ids_collected = results[0]
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except CircuitBreakerOpenError as e:
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logger.error(f"Circuit breaker prevented listing fetch: {e}")
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logger.info(get_throttle_metrics().summary())
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return []
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finally:
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# Log throttle metrics at end
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metrics = get_throttle_metrics()
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if metrics.total_requests > 0:
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logger.info("\n" + metrics.summary())
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logger.info(
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f"Processed {len(processed_listings)} new listings "
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f"({ids_collected} total found)"
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)
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return processed_listings
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