added gtfs-rt vehicle download functions
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2 changed files with 567 additions and 3 deletions
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@ -4,15 +4,27 @@ from dagster import (
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AssetExecutionContext,
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Output,
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MetadataValue,
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AutomationCondition
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AutomationCondition,
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DynamicPartitionsDefinition,
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sensor,
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RunRequest,
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SkipReason,
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SensorEvaluationContext,
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DefaultSensorStatus,
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Config
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)
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from dagster_duckdb import DuckDBResource
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from resources import MobilityDatabaseAPI
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import json
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import requests
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from pathlib import Path
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from datetime import datetime, timedelta
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import logging
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from typing import Optional
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@asset(
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group_name="gtfs_metadata",
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group_name="config",
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)
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def agency_list(duckdb: DuckDBResource) -> None:
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"""Load agency list from CSV into DuckDB."""
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@ -139,3 +151,554 @@ def gtfs_feed_metadata(
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"preview": MetadataValue.md(preview_df.to_markdown(index=False))
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}
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)
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logger = logging.getLogger(__name__)
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# Dynamic partition definition for GTFS feeds
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gtfs_feeds_partitions_def = DynamicPartitionsDefinition(name="gtfs_feeds")
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@asset(
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deps=["gtfs_feed_metadata"],
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group_name="gtfs_metadata",
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automation_condition=AutomationCondition.eager()
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)
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def gtfs_feed_partitions(
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context: AssetExecutionContext,
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duckdb: DuckDBResource,
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) -> Output[None]:
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"""
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Update the dynamic partitions based on feeds in gtfs_feed_metadata table.
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Creates one partition per feed_id.
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"""
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with duckdb.get_connection() as conn:
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feed_ids = conn.execute("""
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SELECT feed_id
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FROM gtfs_feed_metadata
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WHERE producer_url IS NOT NULL AND producer_url != ''
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ORDER BY feed_id
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""").fetchall()
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feed_id_list = [feed_id for (feed_id,) in feed_ids]
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# Update the dynamic partitions
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context.instance.add_dynamic_partitions(
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partitions_def_name="gtfs_feeds",
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partition_keys=feed_id_list
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)
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context.log.info(f"Updated partitions with {len(feed_id_list)} feeds")
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return Output(
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None,
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metadata={
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"feed_count": len(feed_id_list),
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"feeds": MetadataValue.md("\n".join(f"- {f}" for f in feed_id_list[:20]))
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}
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)
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@asset(
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partitions_def=gtfs_feeds_partitions_def,
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deps=["gtfs_feed_partitions"],
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group_name="gtfs_downloads",
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automation_condition=AutomationCondition.on_cron("0 * * * *") | AutomationCondition.eager(),
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)
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def gtfs_feed_downloads(
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context: AssetExecutionContext,
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duckdb: DuckDBResource,
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) -> Output[None]:
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"""
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Download GTFS feed for each agency partition.
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Only downloads if there's a new version available based on Last-Modified header.
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Files are saved to data/raw/gtfs/<feed_id>/<yyyy-mm-dd-HHMMSS-gtfs.zip>
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Runs on the hour and whenever new partitions are added.
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"""
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feed_id = context.partition_key
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with duckdb.get_connection() as conn:
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# Create download tracking table if it doesn't exist
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conn.execute("""
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CREATE TABLE IF NOT EXISTS gtfs_download_history (
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feed_id VARCHAR,
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download_url VARCHAR,
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last_modified TIMESTAMP,
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file_path VARCHAR,
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file_size_bytes BIGINT,
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downloaded_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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PRIMARY KEY (feed_id, last_modified)
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)
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""")
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# Get the download URL for this feed
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feed_info = conn.execute("""
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SELECT feed_id, provider, producer_url
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FROM gtfs_feed_metadata
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WHERE feed_id = ?
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""", [feed_id]).fetchone()
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if not feed_info:
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raise ValueError(f"Feed {feed_id} not found in metadata")
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feed_id, provider, download_url = feed_info
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if not download_url:
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context.log.warning(f"No download URL for {feed_id}")
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return Output(None, metadata={"status": "no_url"})
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# Check the Last-Modified header without downloading the full file
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try:
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head_response = requests.head(
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download_url,
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timeout=30,
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allow_redirects=True
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)
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head_response.raise_for_status()
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last_modified_str = head_response.headers.get('Last-Modified')
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if last_modified_str:
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last_modified = datetime.strptime(
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last_modified_str,
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'%a, %d %b %Y %H:%M:%S GMT'
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)
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else:
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# If no Last-Modified header, use current time
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last_modified = datetime.now()
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context.log.warning(f"No Last-Modified header for {feed_id}, using current time")
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except Exception as e:
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context.log.error(f"Failed to check headers for {feed_id}: {e}")
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return Output(None, metadata={"status": "error", "error": str(e)})
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# Check if we've already downloaded this version
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existing = conn.execute("""
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SELECT file_path, downloaded_at
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FROM gtfs_download_history
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WHERE feed_id = ? AND last_modified = ?
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ORDER BY downloaded_at DESC
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LIMIT 1
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""", [feed_id, last_modified]).fetchone()
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if existing:
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file_path, downloaded_at = existing
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context.log.info(
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f"Already have latest version of {feed_id} "
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f"(modified: {last_modified}, downloaded: {downloaded_at})"
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)
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return Output(
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None,
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metadata={
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"status": "up_to_date",
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"last_modified": last_modified.isoformat(),
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"existing_file": file_path,
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"downloaded_at": downloaded_at.isoformat()
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}
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)
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# Download the file
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context.log.info(f"Downloading new version of {feed_id} (modified: {last_modified})")
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# Create directory structure: data/raw/gtfs/<feed_id>/
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feed_dir = Path(f"data/raw/gtfs/{feed_id}")
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feed_dir.mkdir(parents=True, exist_ok=True)
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# Filename format: yyyy-mm-dd-gtfs.zip (using last_modified date)
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filename = f"{last_modified.strftime('%Y-%m-%d-%H%M%S')}-gtfs.zip"
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file_path = feed_dir / filename
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try:
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response = requests.get(download_url, timeout=120, stream=True)
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response.raise_for_status()
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# Write file in chunks to handle large files
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with open(file_path, 'wb') as f:
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for chunk in response.iter_content(chunk_size=8192):
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f.write(chunk)
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file_size = file_path.stat().st_size
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# Record the download in history
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conn.execute("""
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INSERT INTO gtfs_download_history (
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feed_id, download_url, last_modified, file_path, file_size_bytes
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) VALUES (?, ?, ?, ?, ?)
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""", [feed_id, download_url, last_modified, str(file_path), file_size])
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context.log.info(
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f"✓ Downloaded {feed_id} to {file_path} ({file_size:,} bytes)"
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)
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return Output(
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None,
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metadata={
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"status": "downloaded",
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"file_path": str(file_path),
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"file_size_mb": round(file_size / 1024 / 1024, 2),
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"last_modified": last_modified.isoformat(),
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"provider": provider,
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"download_url": download_url,
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}
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)
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except Exception as e:
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context.log.error(f"Failed to download {feed_id}: {e}")
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# Clean up partial file if it exists
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if file_path.exists():
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file_path.unlink()
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return Output(
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None,
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metadata={
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"status": "error",
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"error": str(e),
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"feed_id": feed_id
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}
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)
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@asset(
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deps=["agency_list"],
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group_name="gtfs_rt_metadata",
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automation_condition=AutomationCondition.eager()
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)
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def gtfs_rt_vehicles_metadata(
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context: AssetExecutionContext,
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duckdb: DuckDBResource,
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mobility_db: MobilityDatabaseAPI
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) -> Output[None]:
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"""
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Fetch GTFS-RT vehicle feed metadata from Mobility Database API for all agencies and store in DuckDB. Create the download history table in DuckDB
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"""
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with duckdb.get_connection() as conn:
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conn.execute("""
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CREATE TABLE IF NOT EXISTS gtfs_rt_vehicles_metadata (
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feed_id VARCHAR PRIMARY KEY,
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provider VARCHAR,
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status VARCHAR,
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official BOOLEAN,
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producer_url VARCHAR,
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authentication_type INTEGER,
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authentication_info_url VARCHAR,
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api_key_parameter_name VARCHAR,
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license_url VARCHAR,
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feed_contact_email VARCHAR,
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raw_json JSON,
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fetched_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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)
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""")
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# Create the download history table
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conn.execute("""
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CREATE TABLE IF NOT EXISTS gtfs_rt_vehicles_download_history (
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feed_id VARCHAR,
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download_url VARCHAR,
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last_modified TIMESTAMP,
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file_path VARCHAR,
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file_size_bytes BIGINT,
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downloaded_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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PRIMARY KEY (feed_id, downloaded_at)
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)
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""")
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# Get all GTFS-RT vehicle feed IDs from agency_list
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feed_ids = conn.execute("""
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SELECT DISTINCT "GTFS-RT_vehicles" as feed_id
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FROM agency_list
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WHERE "GTFS-RT_vehicles" IS NOT NULL AND "GTFS-RT_vehicles" != ''
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""").fetchall()
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context.log.info(f"Found {len(feed_ids)} GTFS-RT vehicle feeds to fetch")
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successful = 0
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failed = 0
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for (feed_id,) in feed_ids:
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try:
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feed_info = mobility_db.get_feed_info(feed_id)
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# Extract relevant fields
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source_info = feed_info.get("source_info", {})
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# Insert or update the record
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conn.execute("""
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INSERT OR REPLACE INTO gtfs_rt_vehicles_metadata (
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feed_id,
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provider,
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status,
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official,
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producer_url,
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authentication_type,
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authentication_info_url,
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api_key_parameter_name,
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license_url,
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feed_contact_email,
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raw_json
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", [
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feed_id,
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feed_info.get("provider"),
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feed_info.get("status"),
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feed_info.get("official"),
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source_info.get("producer_url"),
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source_info.get("authentication_type"),
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source_info.get("authentication_info_url"),
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source_info.get("api_key_parameter_name"),
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source_info.get("license_url"),
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feed_info.get("feed_contact_email"),
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json.dumps(feed_info)
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])
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context.log.info(f"✓ Fetched and stored metadata for {feed_id}")
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successful += 1
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except Exception as e:
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context.log.error(f"✗ Failed to fetch {feed_id}: {e}")
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failed += 1
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# Get summary stats
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total_records = conn.execute(
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"SELECT COUNT(*) FROM gtfs_rt_vehicles_metadata"
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).fetchone()[0]
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# Get preview for metadata
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preview_df = conn.execute("""
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SELECT feed_id, provider, status, producer_url
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FROM gtfs_rt_vehicles_metadata
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LIMIT 5
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""").df()
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return Output(
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None,
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metadata={
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"total_feeds": len(feed_ids),
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"successful": successful,
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"failed": failed,
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"total_records_in_db": total_records,
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"preview": MetadataValue.md(preview_df.to_markdown(index=False))
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}
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)
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# Dynamic partition definition for GTFS-RT vehicle feeds
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gtfs_rt_vehicles_partitions_def = DynamicPartitionsDefinition(name="gtfs_rt_vehicles")
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@asset(
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deps=["gtfs_rt_vehicles_metadata"],
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group_name="gtfs_rt_metadata",
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automation_condition=AutomationCondition.eager()
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)
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def gtfs_rt_vehicles_partitions(
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context: AssetExecutionContext,
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duckdb: DuckDBResource,
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) -> Output[None]:
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"""
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Update the dynamic partitions based on feeds in gtfs_rt_vehicles_metadata table.
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Creates one partition per feed_id.
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"""
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with duckdb.get_connection() as conn:
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feed_ids = conn.execute("""
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SELECT feed_id
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FROM gtfs_rt_vehicles_metadata
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WHERE producer_url IS NOT NULL AND producer_url != ''
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ORDER BY feed_id
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""").fetchall()
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feed_id_list = [feed_id for (feed_id,) in feed_ids]
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# Update the dynamic partitions
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context.instance.add_dynamic_partitions(
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partitions_def_name="gtfs_rt_vehicles",
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partition_keys=feed_id_list
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)
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context.log.info(f"Updated partitions with {len(feed_id_list)} GTFS-RT vehicle feeds")
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return Output(
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None,
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metadata={
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"feed_count": len(feed_id_list),
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"feeds": MetadataValue.md("\n".join(f"- {f}" for f in feed_id_list[:20]))
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}
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)
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class GTFSRTDownloadConfig(Config):
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provider: str
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producer_url: str
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@asset(
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partitions_def=gtfs_rt_vehicles_partitions_def,
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deps=[gtfs_rt_vehicles_partitions],
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group_name="gtfs_rt_downloads",
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)
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def gtfs_rt_vehicles_downloads(
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context: AssetExecutionContext,
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config: GTFSRTDownloadConfig,
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duckdb: DuckDBResource,
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) -> Output[None]:
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"""
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Download GTFS-RT vehicle feed for each agency partition.
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Only downloads if the Last-Modified date has changed from the previous download.
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Files are saved to data/raw/gtfs-rt/vehicles/<feed_id>/YYYY/MM/DD/<HHMMSS>.pb
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Filename and directory structure use the Last-Modified timestamp.
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"""
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feed_id = context.partition_key
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download_url = config.producer_url
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provider = config.provider
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with duckdb.get_connection() as conn:
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# Check the Last-Modified header without downloading the full file
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try:
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head_response = requests.head(
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download_url,
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timeout=30,
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allow_redirects=True
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)
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head_response.raise_for_status()
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last_modified_str = head_response.headers.get('Last-Modified')
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if last_modified_str:
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last_modified = datetime.strptime(
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last_modified_str,
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'%a, %d %b %Y %H:%M:%S GMT'
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)
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else:
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# If no Last-Modified header, use current time (will always download)
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last_modified = datetime.now()
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context.log.warning(f"No Last-Modified header for {feed_id}, will download")
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except Exception as e:
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context.log.error(f"Failed to check headers for {feed_id}: {e}")
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return Output(None, metadata={"status": "error", "error": str(e)})
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# Check if we've already downloaded this version
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existing = conn.execute("""
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SELECT file_path, downloaded_at
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FROM gtfs_rt_vehicles_download_history
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WHERE feed_id = ? AND last_modified = ?
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ORDER BY downloaded_at DESC
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LIMIT 1
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""", [feed_id, last_modified]).fetchone()
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if existing:
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file_path, downloaded_at = existing
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context.log.info(
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f"Already have latest version of {feed_id} "
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f"(modified: {last_modified}, downloaded: {downloaded_at})"
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)
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return Output(
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None,
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metadata={
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"status": "up_to_date",
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"last_modified": last_modified.isoformat(),
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"existing_file": file_path,
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"downloaded_at": downloaded_at.isoformat(),
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"provider": provider,
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}
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)
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# Download the file
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download_time = datetime.now()
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context.log.info(f"Downloading new version of {feed_id} (modified: {last_modified})")
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# Create directory structure using last_modified date: data/raw/gtfs-rt/vehicles/<feed_id>/YYYY/MM/DD
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feed_dir = Path(f"data/raw/gtfs-rt/vehicles/{feed_id}/{last_modified.strftime('%Y/%m/%d')}")
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feed_dir.mkdir(parents=True, exist_ok=True)
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# Filename format: HHMMSS.pb (using last_modified time)
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filename = f"{last_modified.strftime('%Y%m%d%H%M%S')}.pb"
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file_path = feed_dir / filename
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try:
|
||||
response = requests.get(download_url, timeout=30)
|
||||
response.raise_for_status()
|
||||
|
||||
# Write the protobuf data
|
||||
with open(file_path, 'wb') as f:
|
||||
f.write(response.content)
|
||||
|
||||
file_size = file_path.stat().st_size
|
||||
|
||||
# Record the download in history
|
||||
conn.execute("""
|
||||
INSERT INTO gtfs_rt_vehicles_download_history (
|
||||
feed_id, download_url, last_modified, file_path, file_size_bytes, downloaded_at
|
||||
) VALUES (?, ?, ?, ?, ?, ?)
|
||||
""", [feed_id, download_url, last_modified, str(file_path), file_size, download_time])
|
||||
|
||||
return Output(
|
||||
None,
|
||||
metadata={
|
||||
"status": "downloaded",
|
||||
"file_path": str(file_path),
|
||||
"file_size_kb": round(file_size / 1024, 2),
|
||||
"last_modified": last_modified.isoformat(),
|
||||
"downloaded_at": download_time.isoformat(),
|
||||
"provider": provider,
|
||||
"download_url": download_url
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
context.log.error(f"Failed to download {feed_id}: {e}")
|
||||
# Clean up partial file if it exists
|
||||
if file_path.exists():
|
||||
file_path.unlink()
|
||||
return Output(
|
||||
None,
|
||||
metadata={
|
||||
"status": "error",
|
||||
"error": str(e),
|
||||
"feed_id": feed_id
|
||||
}
|
||||
)
|
||||
|
||||
@sensor(
|
||||
name="gtfs_rt_vehicles_sensor",
|
||||
minimum_interval_seconds=60,
|
||||
asset_selection=[gtfs_rt_vehicles_downloads],
|
||||
default_status=DefaultSensorStatus.RUNNING
|
||||
)
|
||||
def gtfs_rt_vehicles_sensor(
|
||||
context: SensorEvaluationContext,
|
||||
duckdb: DuckDBResource,
|
||||
) -> list[RunRequest] | SkipReason:
|
||||
"""
|
||||
Sensor that triggers gtfs_rt_vehicles_downloads every 60 seconds.
|
||||
Fetches feed metadata once and passes it to each partition run.
|
||||
"""
|
||||
with duckdb.get_connection() as conn:
|
||||
# Get all active feeds with their metadata in one query
|
||||
feeds = conn.execute("""
|
||||
SELECT feed_id, provider, producer_url
|
||||
FROM gtfs_rt_vehicles_metadata
|
||||
WHERE producer_url IS NOT NULL AND producer_url != ''
|
||||
ORDER BY feed_id
|
||||
""").fetchall()
|
||||
|
||||
if not feeds:
|
||||
return SkipReason("No GTFS-RT vehicle feeds configured")
|
||||
|
||||
# Create a RunRequest for each partition with metadata
|
||||
run_requests = [
|
||||
RunRequest(
|
||||
partition_key=feed_id,
|
||||
run_config={
|
||||
"ops": {
|
||||
"gtfs_rt_vehicles_downloads": {
|
||||
"config": {
|
||||
"provider": provider,
|
||||
"producer_url": producer_url,
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
tags={
|
||||
"feed_id": feed_id,
|
||||
"sensor": "gtfs_rt_vehicles_sensor"
|
||||
}
|
||||
)
|
||||
for feed_id, provider, producer_url in feeds
|
||||
]
|
||||
|
||||
context.log.info(f"Triggering downloads for {len(run_requests)} GTFS-RT vehicle feeds")
|
||||
|
||||
return run_requests
|
||||
Loading…
Add table
Add a link
Reference in a new issue