import of recovered data - maybe it should be done differently
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etl/planning_data/load_into_database_dropped_data.py
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104
etl/planning_data/load_into_database_dropped_data.py
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import json
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import datetime
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import psycopg2
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import os
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def get_connection():
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return psycopg2.connect(
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host=os.environ['PGHOST'],
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dbname=os.environ['PGDATABASE'],
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user=os.environ['PGUSER'],
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password=os.environ['PGPASSWORD']
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)
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def filepath():
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return os.path.dirname(os.path.realpath(__file__)) + os.sep + "recovered.geojson"
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def insert_entry(connection, e):
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print(e)
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elements = []
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application_url = "NULL"
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if e["application_url"] != None:
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application_url = "'" + e["application_url"] + "'"
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with connection.cursor() as cur:
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cur.execute('''INSERT INTO
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planning_data (planning_application_id, planning_application_link, description, registered_with_local_authority_date, decision_date, last_synced_date, status, data_source, data_source_link, uprn)
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VALUES
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(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
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''', (e["application_id"], application_url, e["description"], e["registered_with_local_authority_date"], e["decision_date"], e["last_synced_date"], e["status"], e["data_source"], e["data_source_link"], e["uprn"]))
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connection.commit()
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def parse_date_string_into_datestring(incoming):
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date = None
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try:
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date = datetime.datetime.strptime(incoming, "%d/%m/%Y") # '21/07/2022'
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except ValueError:
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date = datetime.datetime.strptime(incoming, "%Y-%m-%dT%H:%M:%S.%fZ") # '2022-08-08T20:07:22.238Z'
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return datetime.datetime.strftime(date, "%Y-%m-%d")
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def shorten_description(original_description):
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description = original_description.strip()
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limit = 400
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if len(description) > limit:
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description = ""
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for entry in original_description.split():
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extended = description
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if extended != "":
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extended += " "
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extended += entry
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if len(extended) <= limit:
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description = extended
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if description == "":
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description = description[0:limit]
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description += "... <i>(show more)</i>"
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return description
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def main():
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connection = get_connection()
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with connection.cursor() as cur:
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cur.execute("TRUNCATE planning_data")
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with open(filepath(), 'r') as content_file:
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data = json.load(content_file)
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for entry in data['features']:
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description = entry['properties']['description']
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application_id = "unknown"
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decision_date = parse_date_string_into_datestring(entry['properties']['decision_date'])
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last_synced_date = parse_date_string_into_datestring(entry['properties']['decision_date'])
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uprn = entry['properties']['uprn']
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status = entry['properties']['status']
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if status in ["No Objection to Proposal (OBS only)", "Not Required", None, "Lapsed", "SECS", "Comment Issued",
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# new ones
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"ALL DECISIONS ISSUED", "Closed", "?", ""
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]:
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continue
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if status in []:
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opts = jsbeautifier.default_options()
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opts.indent_size = 2
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print(jsbeautifier.beautify(json.dumps(entry), opts))
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continue
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if status == "Refused":
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status = "Rejected"
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if status == "Appeal Received":
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status = "Appeal In Progress"
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if (status not in ["Approved", "Rejected", "Appeal In Progress", "Withdrawn", "Unknown"]):
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print("Unexpected status " + status)
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continue
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if uprn == None:
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continue
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entry = {
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"description": description,
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"decision_date": decision_date,
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"last_synced_date": last_synced_date,
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"application_id": application_id,
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"application_url": None,
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"registered_with_local_authority_date": None,
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"uprn": uprn,
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"status": status,
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"data_source": "The Planning London DataHub Greater London Authority",
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"data_source_link": "https://data.london.gov.uk/dataset/planning-london-datahub?_gl=1%2aprwpc%2a_ga%2aMzQyOTg0MjcxLjE2NTk0NDA4NTM", # TODO test
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}
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insert_entry(connection, entry)
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if __name__ == '__main__':
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main()
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8505
etl/planning_data/recovered.geojson
Normal file
8505
etl/planning_data/recovered.geojson
Normal file
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