76 lines
2.0 KiB
Python
76 lines
2.0 KiB
Python
"""Load CSV data to API
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This is effectively an example script using the HTTP API, tailored to particular collected
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datasets for conservation areas around London.
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Preprocess to filter down to unique buildings:
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head -n 1 file.csv > file.uniq.csv
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cat file.csv | \
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cut -d "," -f 1,2 --complement | \
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sort -n | \
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uniq >> file.uniq.csv
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Then with this script:
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- read through CSV file, where entries have been pre-matched to building_id
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- update building with data
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"""
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import csv
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import os
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import subprocess
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import sys
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import requests
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from tqdm import tqdm
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def main(base_url, api_key, source_file):
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"""Read from file, update buildings"""
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with open(source_file, "r") as source_fh:
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source = csv.DictReader(source_fh)
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for feature in tqdm(source, total=line_count(source_file)):
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building_id, data = process_ca(feature)
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if building_id and building_id != "building_id":
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save_data(building_id, data, api_key, base_url)
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def line_count(fname):
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"""Count lines - relies on 'wc'"""
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p = subprocess.run(["wc", "-l", fname], stdout=subprocess.PIPE)
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if p.returncode != 0:
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raise IOError(p.returncode)
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return int(p.stdout.strip().split()[0])
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def process_ca(props):
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building_id = props["building_id"]
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data = {
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"planning_in_conservation_area": True,
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"planning_conservation_area_name": props["conservation_area_name"],
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}
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return building_id, data
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def save_data(building_id, data, api_key, base_url):
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"""Save data to a building"""
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requests.post(
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"{}/buildings/{}.json?api_key={}".format(base_url, building_id, api_key),
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json=data,
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)
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if __name__ == "__main__":
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try:
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url, api_key, filename = sys.argv[1], sys.argv[2], sys.argv[3]
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except IndexError:
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print(
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"Usage: {} <URL> <api_key> ./path/to/conservation_areas.csv".format(
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os.path.basename(__file__)
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)
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)
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exit()
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main(url, api_key, filename)
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