""" Cannabis Licenses | Get Massachusetts Licenses Copyright (c) 2022 Cannlytics Authors: Keegan Skeate Candace O'Sullivan-Sutherland Created: 9/29/2022 Updated: 10/7/2022 License: Description: Collect Massachusetts cannabis license data. Data Source: - Massachusetts Cannabis Control Commission Data Catalog URL: """ # Standard imports. from datetime import datetime import os from typing import Optional # External imports. from cannlytics.data.opendata import OpenData # Specify where your data lives. DATA_DIR = '../data/ma' # Specify state-specific constants. STATE = 'MA' MASSACHUSETTS = { 'licensing_authority_id': 'MACCC', 'licensing_authority': 'Massachusetts Cannabis Control Commission', 'licenses': { 'columns': { 'license_number': 'license_number', 'business_name': 'business_legal_name', 'establishment_address_1': 'premise_street_address', 'establishment_address_2': 'premise_street_address_2', 'establishment_city': 'premise_city', 'establishment_zipcode': 'premise_zip_code', 'county': 'premise_county', 'license_type': 'license_type', 'application_status': 'license_status', 'lic_status': 'license_term', 'approved_license_type': 'license_designation', 'commence_operations_date': 'license_status_date', 'massachusetts_business': 'id', 'dba_name': 'business_dba_name', 'establishment_activities': 'activity', 'cccupdatedate': 'data_refreshed_date', 'establishment_state': 'premise_state', 'latitude': 'premise_latitude', 'longitude': 'premise_longitude', }, 'drop': [ 'square_footage_establishment', 'cooperative_total_canopy', 'cooperative_cultivation_environment', 'establishment_cultivation_environment', 'abutters_count', 'is_abutters_notified', 'business_zipcode', 'dph_rmd_number', 'geocoded_county', 'geocoded_address', 'name_of_rmd', 'priority_applicant_type', 'rmd_priority_certification', 'dba_registration_city', 'county_lat', 'county_long', ] }, } def get_licenses_ma( data_dir: Optional[str] = None, **kwargs, ): """Get Massachusetts cannabis license data.""" # Get the licenses data. ccc = OpenData() licenses = ccc.get_licensees('approved') # Standardize the licenses data. constants = MASSACHUSETTS['licenses'] licenses.drop(columns=constants['drop'], inplace=True) licenses.rename(columns=constants['columns'], inplace=True) licenses = licenses.assign( licensing_authority_id=MASSACHUSETTS['licensing_authority_id'], licensing_authority=MASSACHUSETTS['licensing_authority'], business_structure=None, business_email=None, business_owner_name=None, parcel_number=None, issue_date=None, expiration_date=None, business_image_url=None, business_website=None, business_phone=None, ) # Append `premise_street_address_2` to `premise_street_address`. cols = ['premise_street_address', 'premise_street_address_2'] licenses['premise_street_address'] = licenses[cols].apply( lambda x : '{} {}'.format(x[0].strip(), x[1]).replace('nan', '').strip().replace(' ', ' '), axis=1, ) licenses.drop(columns=['premise_street_address_2'], inplace=True) # Optional: Look-up business websites for each license. # Save and return the data. if data_dir is not None: if not os.path.exists(data_dir): os.makedirs(data_dir) timestamp = datetime.now().isoformat()[:19].replace(':', '-') retailers = licenses.loc[licenses['license_type'].str.contains('Retailer')] retailers.to_csv(f'{data_dir}/retailers-{STATE.lower()}-{timestamp}.csv', index=False) licenses.to_csv(f'{data_dir}/licenses-{STATE.lower()}-{timestamp}.csv', index=False) return licenses # === Test === if __name__ == '__main__': # Support command line usage. import argparse try: arg_parser = argparse.ArgumentParser() arg_parser.add_argument('--d', dest='data_dir', type=str) arg_parser.add_argument('--data_dir', dest='data_dir', type=str) args = arg_parser.parse_args() except SystemExit: args = {'d': DATA_DIR} # Get licenses, saving them to the specified directory. data_dir = args.get('d', args.get('data_dir')) data = get_licenses_ma(data_dir)