MacroLens / code /collect_real_estate.py
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"""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 # 3s, 6s, 12s
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)
# Resume check: skip if all three output CSVs already exist
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, # type: ignore[arg-type]
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, # type: ignore[arg-type]
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, # type: ignore[arg-type]
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)
# Brief pause between metros to be polite to the API
await asyncio.sleep(0.5)
# Write each file individually so partial success is preserved
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))
# Write a done marker so we know all 3 were attempted
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)
# Demographics via ESRI (requires arcgis package -- skip if unavailable)
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())