f3b9be39bf
- use building_id if present in CSV - print DEBUG even if response from API is 200 - handle empty-string sust_dec (which fails because empty-string isn't a valid enum value as defined in 011.sustainability.up.sql) by deleting from data if present
119 lines
3.3 KiB
Python
119 lines
3.3 KiB
Python
"""Join csv data to buildings
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Example usage (replace URL with test/staging/localhost as necessary, API key with real key for
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the appropriate site):
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python load_csv.py \
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https://colouring.london \
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a0a00000-0a00-0aaa-a0a0-0000aaaa0000 \
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data.csv
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This script uses the HTTP API, and can process CSV files which identify buildings by id, TOID,
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UPRN.
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The process:
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- assume first line of the CSV is a header, where column names are either
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- building identifiers - one of:
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- building_id
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- toid
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- uprn
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- building data field names
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- read through lines of CSV:
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- use building id if provided
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- else lookup by toid
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- else lookup by uprn
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- else locate building by representative point
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- update building
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TODO extend to allow latitude,longitude or easting,northing columns and lookup by location.
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"""
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import csv
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import json
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import os
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import sys
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import requests
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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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"""
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with open(source_file, 'r') as source:
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reader = csv.DictReader(source)
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for line in reader:
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building_id = find_building(line, base_url)
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if building_id is None:
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continue
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if 'sust_dec' in line and line['sust_dec'] == '':
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del line['sust_dec']
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response_code, response_data = update_building(building_id, line, api_key, base_url)
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if response_code != 200:
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print('ERROR', building_id, response_code, response_data)
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else:
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print('DEBUG', building_id, response_code, response_data)
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def update_building(building_id, data, api_key, base_url):
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"""Save data to a building
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"""
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r = requests.post(
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"{}/api/buildings/{}.json".format(base_url, building_id),
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params={'api_key': api_key},
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json=data
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)
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return r.status_code, r.json()
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def find_building(data, base_url):
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if 'building_id' in data:
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return data['building_id']
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if 'toid' in data:
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building_id = find_by_reference(base_url, 'toid', data['toid'])
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if building_id is not None:
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print("match_by_toid", data['toid'], building_id)
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return building_id
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if 'uprn' in data:
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building_id = find_by_reference(base_url, 'uprn', data['uprn'])
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if building_id is not None:
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print("match_by_uprn", data['uprn'], building_id)
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return building_id
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print("no_match", data)
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return None
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def find_by_reference(base_url, ref_key, ref_id):
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"""Find building_id by TOID or UPRN
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"""
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r = requests.get("{}/api/buildings/reference".format(base_url), params={
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'key': ref_key,
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'id': ref_id
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})
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buildings = r.json()
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if buildings and 'error' not in buildings and len(buildings) == 1:
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building_id = buildings[0]['building_id']
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else:
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building_id = None
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return building_id
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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/data.csv".format(
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os.path.basename(__file__)
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))
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exit()
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main(url, api_key, filename)
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