"""
Cannabis Licenses | Get Washington Licenses
Copyright (c) 2022 Cannlytics

Authors:
    Keegan Skeate <https://github.com/keeganskeate>
    Candace O'Sullivan-Sutherland <https://github.com/candy-o>
Created: 9/29/2022
Updated: 9/29/2022
License: <https://github.com/cannlytics/cannlytics/blob/main/LICENSE>

Description:

    Collect Washington cannabis license data.

Data Source:

    - Washington State Liquor and Cannabis Board | Frequently Requested Lists
    URL: <https://lcb.wa.gov/records/frequently-requested-lists>

"""
# Standard imports.
from datetime import datetime
import os
from typing import Optional

# External imports.
from bs4 import BeautifulSoup
from cannlytics.data.gis import geocode_addresses
from dotenv import dotenv_values
import pandas as pd
import requests


# Specify where your data lives.
DATA_DIR = '../data/wa'
ENV_FILE = '../.env'

# Specify state-specific constants.
STATE = 'WA'
WASHINGTON = {
    'licensing_authority_id': 'WSLCB',
    'licensing_authority': 'Washington State Liquor and Cannabis Board',
    'retailers': {
        'key': 'CannabisApplicants',
        'columns': {
            'Tradename': 'business_dba_name',
            'License ': 'license_number',
            'UBI': 'id',
            'Street Address': 'premise_street_address',
            'Suite Rm': 'premise_street_address_2',
            'City': 'premise_city',
            'State': 'premise_state',
            'county': 'premise_county',
            'Zip Code': 'premise_zip_code',
            'Priv Desc': 'license_type',
            'Privilege Status': 'license_status',
            'Day Phone': 'business_phone',
        },
    }
}


def get_licenses_wa(
        data_dir: Optional[str] = None,
        env_file: Optional[str] = '.env',
    ):
    """Get Washington cannabis license data."""

    # Create the necessary directories.
    file_dir = f'{data_dir}/.datasets'
    if not os.path.exists(data_dir): os.makedirs(data_dir)
    if not os.path.exists(file_dir): os.makedirs(file_dir)

    # Get the URLs for the license workbooks.
    labs_url, medical_url, retailers_url = None, None, None
    url = 'https://lcb.wa.gov/records/frequently-requested-lists'
    response = requests.get(url)
    soup = BeautifulSoup(response.content, 'html.parser')
    links = soup.find_all('a')
    for link in links:
        href = link['href']
        if 'Lab-List' in href:
            labs_url = href
        elif 'CannabisApplicants' in href:
            retailers_url = href
        elif 'MedicalCannabisEndorsements' in href:
            medical_url = href
            break

    # TODO: Also download and collect lab + medical dispensary data.

    # Download the licenses workbook.
    filename = retailers_url.split('/')[-1]
    retailers_source_file = os.path.join(file_dir, filename)
    response = requests.get(retailers_url)
    with open(retailers_source_file, 'wb') as doc:
        doc.write(response.content)

    # Extract and standardize the data from the workbook.
    retailers = pd.read_excel(retailers_source_file)
    retailers.rename(columns=WASHINGTON['retailers']['columns'], inplace=True)
    retailers['licensing_authority_id'] = WASHINGTON['licensing_authority_id']
    retailers['licensing_authority'] = WASHINGTON['licensing_authority']
    retailers['license_designation'] = 'Adult-Use'
    retailers['premise_state'] = STATE
    retailers['license_status_date'] = None
    retailers['license_term'] = None
    retailers['issue_date'] = None
    retailers['expiration_date'] = None
    retailers['business_legal_name'] = retailers['business_dba_name']
    retailers['business_owner_name'] = None
    retailers['business_structure'] = None
    retailers['business_email'] = None
    retailers['activity'] = None
    retailers['parcel_number'] = None

    # Keep only active licenses.
    retailers = retailers.loc[
        (retailers['license_status'] == 'ACTIVE (ISSUED)') |
        (retailers['license_status'] == 'ACTIVE TITLE CERTIFICATE')
    ]

    # Convert certain columns from upper case title case.
    cols = ['business_dba_name', 'premise_city', 'premise_county',
            'premise_street_address', 'license_type', 'license_status']
    for col in cols:
        retailers[col] = retailers[col].apply(lambda x: x.title().strip())

    # Get the refreshed date.
    date = retailers_source_file.split('\\')[-1].split('.')[0]
    date = date.replace('CannabisApplicants', '')
    date = date[:2] + '-' + date[2:4] + '-' + date[4:]
    retailers['data_refreshed_date'] = pd.to_datetime(date).isoformat()

    # FIXME: Append `premise_street_address_2` to `premise_street_address`.


    # Geocode licenses to get `premise_latitude` and `premise_longitude`.
    config = dotenv_values(env_file)
    google_maps_api_key = config['GOOGLE_MAPS_API_KEY']
    cols = ['premise_street_address', 'premise_city', 'premise_state',
            'premise_zip_code']
    retailers['address'] = retailers[cols].apply(
        lambda row: ', '.join(row.values.astype(str)),
        axis=1,
    )
    retailers = geocode_addresses(
        retailers,
        api_key=google_maps_api_key,
        address_field='address',
    )
    drop_cols = ['state', 'state_name', 'county', 'address', 'formatted_address']
    retailers.drop(columns=drop_cols, inplace=True)
    gis_cols = {
        'latitude': 'premise_latitude',
        'longitude': 'premise_longitude'
    }
    retailers.rename(columns=gis_cols, inplace=True)

    # Save and return the data.
    if data_dir is not None:
        timestamp = datetime.now().isoformat()[:19].replace(':', '-')
        retailers.to_excel(f'{data_dir}/licenses-{STATE.lower()}-{timestamp}.xlsx')
    return retailers


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)
        arg_parser.add_argument('--env', dest='env_file', type=str)
        args = arg_parser.parse_args()
    except SystemExit:
        args = {'d': DATA_DIR, 'env_file': ENV_FILE}

    # Get licenses, saving them to the specified directory.
    data_dir = args.get('d', args.get('data_dir'))
    env_file = args.get('env_file')
    data = get_licenses_wa(data_dir, env_file=env_file)