"""
Cannabis Licenses | License Mao
Copyright (c) 2022 Cannlytics

Authors:
    Keegan Skeate <https://github.com/keeganskeate>
    Candace O'Sullivan-Sutherland <https://github.com/candy-o>
Created: 9/22/2022
Updated: 9/30/2022
License: <https://github.com/cannlytics/cannabis-data-science/blob/main/LICENSE>

Description: 

    Map the adult-use cannabis retailers permitted in the United States:

        - Alaska
        - Arizona
        ✓ California
        - Colorado
        - Connecticut
        - Illinois
        ✓ Maine
        - Massachusetts
        - Michigan
        - Montana
        ✓ Nevada
        ✓ New Jersey
        - New Mexico
        - New York
        ✓ Oregon
        - Rhode Island
        - Vermont
        ✓ Washington

"""
# Standard imports.
import os

# External imports.
import folium
import pandas as pd


# Specify where your data lives.
DATA_DIR = '../data'
DATA_FILES = {
    'ca': 'ca/licenses-ca-2022-09-21T19-02-29.xlsx',
    'me': 'me/licenses-me-2022-09-30T16-44-03.xlsx',
    'nj': 'nj/licenses-nj-2022-09-29T16-17-38.xlsx',
    'nv': 'nv/retailers-nv-2022-09-30T07-41-59.xlsx',
    'or': 'or/licenses-or-2022-09-28T10-11-12.xlsx',
    'wa': 'wa/licenses-wa-2022-09-29T14-44-25.xlsx',
}

#-----------------------------------------------------------------------
# Get the data.
#-----------------------------------------------------------------------

# Read license data for each state.
data = []
for state, data_file in DATA_FILES.items():
    filename = os.path.join(DATA_DIR, DATA_FILES[state])
    licenses = pd.read_excel(filename, index_col=0)
    data.append(licenses)

# Aggregate all retailers and keep only those with latitude and longitude.
retailers = pd.concat(data)
retailers = retailers.loc[
    (~retailers['premise_longitude'].isnull()) &
    (~retailers['premise_latitude'].isnull())
]


#-----------------------------------------------------------------------
# Look at the data!
#-----------------------------------------------------------------------

# Create an interactive map.
locations = retailers[['premise_latitude', 'premise_longitude']].to_numpy()
m = folium.Map(
    location=[39.8283, -98.5795],
    zoom_start=3,
    control_scale=True,
)
for index, row in retailers.iterrows():
    folium.Circle(
        radius=5,
        location=[row['premise_latitude'], row['premise_longitude']],
        color='crimson',
    ).add_to(m)
m.save('../analysis/figures/cannabis-licenses-map.html')