58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
import os
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import sys
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import zipfile
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import pandas as pd
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import tempfile
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import logging
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def modify_routes(gtfs_file, routes, output_file=None):
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logging.info(f"Running GTFS Change Route Type")
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logging.info(f"GTFS File: {gtfs_file}")
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logging.info(f"Routes to Change: {routes}")
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logging.info(f"Output File: {output_file}")
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if not output_file:
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output_file = gtfs_file
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# unzip gtfs feed
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with tempfile.TemporaryDirectory() as tmpdirname:
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logging.info(f"Unzipping GTFS file to {tmpdirname}")
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with zipfile.ZipFile(gtfs_file, 'r') as zip_ref:
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zip_ref.extractall(tmpdirname)
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# load routes.txt in a DataFrame
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logging.info(f"Reading routes.txt")
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routes_path = os.path.join(tmpdirname, 'routes.txt')
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routes_df = pd.read_csv(routes_path)
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# edit route types
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for route_change in routes.split(','):
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route_id, new_type = route_change.split(':')
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logging.info(f"Changing route {route_id} to type {new_type}")
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routes_df.loc[routes_df['route_id'] == route_id, 'route_type'] = int(new_type)
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# save to routes.txt
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logging.info(f"Saving routes.txt")
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routes_df.to_csv(routes_path, index=False)
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# recreate zip file
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logging.info(f"Recreating GTFS file at {output_file}")
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with zipfile.ZipFile(output_file, 'w') as zip_ref:
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for foldername, subfolders, filenames in os.walk(tmpdirname):
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for filename in filenames:
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file_path = os.path.join(foldername, filename)
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zip_ref.write(file_path, os.path.relpath(file_path, tmpdirname))
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logging.info(f"Done!")
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if __name__ == "__main__":
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gtfs_file = sys.argv[1]
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routes = sys.argv[2]
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output_file = sys.argv[3]
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logging.basicConfig(level=logging.INFO)
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modify_routes(gtfs_file, routes, output_file)
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