| """Step 6: Collect multifamily real estate with logical locations. |
| |
| Uses: |
| - RentCastPropertiesClient from projects.tools.property_market.rentcast |
| .get_properties_by_address() -- property records |
| .get_rental_listings_by_address() -- rental listings |
| .get_sale_listings_by_address() -- sale listings |
| .export_records() -- CSV export |
| - EsriAPIClient from projects.tools.property_market.esri_package.esri_package.esri |
| .get_processed_demographic_info() -- demographics per metro |
| |
| Includes resume checks (skip if output CSVs exist) and retry with |
| exponential backoff for transient RentCast API failures. |
| |
| Output: |
| data/real_estate/properties.csv |
| data/real_estate/rentals.csv |
| data/real_estate/sales.csv |
| data/real_estate/demographics.csv |
| """ |
|
|
| from __future__ import annotations |
|
|
| import asyncio |
| import logging |
| import os |
|
|
| import pandas as pd |
|
|
| from projects.tools.property_market.rentcast import RentCastPropertiesClient |
|
|
| from . import config |
|
|
| logger = logging.getLogger(__name__) |
|
|
| _MAX_RETRIES = 3 |
|
|
|
|
| async def _retry_async(coro_factory, description: str, retries: int = _MAX_RETRIES): |
| """Call *coro_factory()* up to *retries* times with exponential backoff.""" |
| for attempt in range(retries): |
| try: |
| return await coro_factory() |
| except Exception as exc: |
| if attempt < retries - 1: |
| wait = 2 ** attempt * 3 |
| logger.warning("%s failed (attempt %d/%d), retrying in %ds: %s", |
| description, attempt + 1, retries, wait, exc) |
| await asyncio.sleep(wait) |
| else: |
| raise |
|
|
|
|
| async def _collect_rentcast(client: RentCastPropertiesClient) -> None: |
| """Fetch properties, rental listings, and sale listings for every metro.""" |
| re_dir = config.REAL_ESTATE_DIR |
| re_dir.mkdir(parents=True, exist_ok=True) |
|
|
| |
| props_path = re_dir / "properties.csv" |
| rentals_path = re_dir / "rentals.csv" |
| sales_path = re_dir / "sales.csv" |
| if props_path.exists() and rentals_path.exists() and sales_path.exists(): |
| logger.info("RentCast data already exists (properties, rentals, sales), skipping.") |
| return |
|
|
| all_properties = [] |
| all_rentals = [] |
| all_sales = [] |
|
|
| for metro_addr in config.METROS: |
| logger.info("RentCast: querying %s ...", metro_addr) |
| try: |
| props = await _retry_async( |
| lambda addr=metro_addr: client.get_properties_by_address( |
| address=addr, |
| property_types=config.RENTCAST_PROPERTY_TYPES, |
| radius=config.RENTCAST_RADIUS_MILES, |
| auto_paginate=False, |
| limit=config.RENTCAST_MAX_RESULTS, |
| ), |
| description=f"RentCast properties {metro_addr}", |
| ) |
| all_properties.extend(props) |
| logger.info(" properties: %d", len(props)) |
| except Exception as exc: |
| logger.warning(" properties failed for %s after retries: %s", metro_addr, exc) |
|
|
| try: |
| rentals = await _retry_async( |
| lambda addr=metro_addr: client.get_rental_listings_by_address( |
| address=addr, |
| property_types=config.RENTCAST_PROPERTY_TYPES, |
| radius=config.RENTCAST_RADIUS_MILES, |
| auto_paginate=False, |
| limit=config.RENTCAST_MAX_RESULTS, |
| ), |
| description=f"RentCast rentals {metro_addr}", |
| ) |
| all_rentals.extend(rentals) |
| logger.info(" rental listings: %d", len(rentals)) |
| except Exception as exc: |
| logger.warning(" rentals failed for %s after retries: %s", metro_addr, exc) |
|
|
| try: |
| sales = await _retry_async( |
| lambda addr=metro_addr: client.get_sale_listings_by_address( |
| address=addr, |
| property_types=config.RENTCAST_PROPERTY_TYPES, |
| radius=config.RENTCAST_RADIUS_MILES, |
| auto_paginate=False, |
| limit=config.RENTCAST_MAX_RESULTS, |
| ), |
| description=f"RentCast sales {metro_addr}", |
| ) |
| all_sales.extend(sales) |
| logger.info(" sale listings: %d", len(sales)) |
| except Exception as exc: |
| logger.warning(" sales failed for %s after retries: %s", metro_addr, exc) |
|
|
| |
| await asyncio.sleep(0.5) |
|
|
| |
| if all_properties: |
| client.export_records(all_properties, props_path) |
| logger.info("Saved %d property records.", len(all_properties)) |
| if all_rentals: |
| client.export_records(all_rentals, rentals_path) |
| logger.info("Saved %d rental listings.", len(all_rentals)) |
| if all_sales: |
| client.export_records(all_sales, sales_path) |
| logger.info("Saved %d sale listings.", len(all_sales)) |
|
|
| |
| done_marker = re_dir / ".rentcast_done" |
| done_marker.write_text("done") |
|
|
|
|
| async def _collect_demographics(client) -> None: |
| """Fetch ESRI demographic data for each metro to make locations 'logical'.""" |
| re_dir = config.REAL_ESTATE_DIR |
| demo_path = re_dir / "demographics.csv" |
| if demo_path.exists(): |
| logger.info("Demographics file already exists, skipping.") |
| return |
|
|
| rows = [] |
| for metro_addr in config.METROS: |
| logger.info("ESRI demographics: %s ...", metro_addr) |
| try: |
| info = await _retry_async( |
| lambda addr=metro_addr: client.get_processed_demographic_info(addr), |
| description=f"ESRI demographics {metro_addr}", |
| ) |
| rows.append(info.model_dump()) |
| except Exception as exc: |
| logger.warning(" demographics failed for %s after retries: %s", metro_addr, exc) |
|
|
| if rows: |
| df = pd.DataFrame(rows) |
| df.to_csv(demo_path, index=False) |
| logger.info("Saved demographics (%d metros).", len(df)) |
|
|
|
|
| async def run_async() -> None: |
| """Execute Step 6 (async).""" |
| rentcast_key = os.getenv("RENTCAST_API_KEY") |
| if not rentcast_key: |
| raise ValueError("Set RENTCAST_API_KEY environment variable.") |
|
|
| rentcast_client = RentCastPropertiesClient(api_key=rentcast_key) |
| await _collect_rentcast(rentcast_client) |
|
|
| |
| esri_user = os.getenv("ARCGIS_USERNAME") |
| esri_pass = os.getenv("ARCGIS_PASSWORD") |
| if not esri_user or not esri_pass: |
| logger.warning("ARCGIS_USERNAME / ARCGIS_PASSWORD not set, skipping demographics.") |
| else: |
| try: |
| from projects.tools.property_market.esri_package.esri_package.esri import EsriAPIClient |
| esri_client = EsriAPIClient(username=esri_user, password=esri_pass) |
| await _collect_demographics(esri_client) |
| except ImportError: |
| logger.warning("arcgis package not installed, skipping demographics collection.") |
|
|
| logger.info("Real estate data collection complete.") |
|
|
|
|
| def run() -> None: |
| """Sync wrapper around the async implementation.""" |
| asyncio.run(run_async()) |
|
|