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my_app.py
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import streamlit as st
import pydeck as pdk
import pandas as pd
import logging
import os.path
import re
from google.oauth2 import service_account
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
# from geopy.geocoders import Nominatim
# geolocator = Nominatim(user_agent="arsenalamerica-branches")
logging.basicConfig(format='%(asctime)s - %(message)s', level=logging.INFO)
sheet_url = st.secrets["gsheets"]["private_gsheets_url"]
branches_sheet = 'FormResponses!A:Y'
coordinates_sheet = 'Coordinates!A:E'
def create_connection():
credentials = service_account.Credentials.from_service_account_info(
st.secrets["gcp_service_account"],
scopes=["https://www.googleapis.com/auth/spreadsheets",],)
return credentials
def write_data():
...
@st.cache_data(ttl=3600)
def get_data():
creds = create_connection()
try:
service = build('sheets', 'v4', credentials=creds, cache_discovery=False)
# Call the Sheets API
sheet = service.spreadsheets()
branches = sheet.values().get(spreadsheetId="1aMm4dHHmzA2Xc8uWnpUaU_5xVjjAIGHltn7jXl-OIjc",
range=branches_sheet).execute()
branches_data = branches.get('values', [])
coordinates = sheet.values().get(spreadsheetId="1aMm4dHHmzA2Xc8uWnpUaU_5xVjjAIGHltn7jXl-OIjc",
range=coordinates_sheet).execute()
coordinates_data = coordinates.get('values', [])
if not branches_data or not coordinates_data:
print('No data found.')
return
branches_df = pd.DataFrame(data=branches_data[1:], columns=branches_data[0])
coordinates_df = pd.DataFrame(data=coordinates_data[1:], columns=coordinates_data[0])
df = branches_df.merge(coordinates_df, how='inner', left_on=['Branch Name', 'Pub Name'], right_on=['Branch Name', 'Pub Name'])
df = df.sort_values('Timestamp').groupby(['Branch Name', 'Pub Name']).tail(1).reset_index(drop=True)
df = df.sort_values(['Pub State', 'Pub City']).reset_index(drop=True)
return df
except HttpError as err:
print(err)
def main():
df = get_data()
df = df.rename(columns={'Latitude': 'latitude', 'Longitude': 'longitude'})
df = df.astype({'latitude':'float','longitude':'float'})
st.title('Arsenal America')
row1_col1, row1_col2 = st.columns([.25,.25])
state_options = list(set(df['Pub State']))
state_options.sort()
with row1_col1:
STATE_SELECT = st.selectbox('If there is a branch in your state you can search for it below:',
["Please select"] + state_options,
key='state_select'
)
with row1_col2:
def reset():
st.session_state.state_select = 'Please select'
st.text('')
st.text('')
st.button('Reset', on_click=reset)
# filter data based on selections
all_states = STATE_SELECT == 'Please select'
if not all_states:
df = df[df['Pub State'] == STATE_SELECT].reset_index()
icon_data = {
"url": "https://image-service.onefootball.com/transform?w=128&dpr=2&image=https://images.onefootball.com/icons/teams/164/2.png",
"width": 64,
"height": 64,
"anchorY": 64
}
tooltip = {
"html": "<b>Branch:</b> {Branch Name} <br/> <b>Pub:</b> {Pub Name}",
"style": {
"backgroundColor": "gray",
"color": "white"
}
}
df['icon_data'] = pd.Series([icon_data for x in range(len(df.index))])
icon_layer = pdk.Layer(
type="IconLayer",
data=df,
get_icon="icon_data",
get_size=4,
size_scale=15,
get_position=["longitude", "latitude"],
pickable=True
)
if all_states:
view_state = pdk.ViewState(longitude=-98.5,latitude=38.500, zoom=3)
# view_state = pdk.data_utils.compute_view(df[["longitude", "latitude"]], 1)
else:
view_state = pdk.ViewState(
longitude=(
max(df['longitude']) - (
max(df['longitude']) -
min(df['longitude'])
)/2),
latitude=max(df['latitude']), zoom=5
)
r = pdk.Deck(
map_style=None,
layers=[icon_layer],
initial_view_state=view_state,
tooltip=tooltip
)
st.pydeck_chart(r)
states_df = df.groupby(by='Pub State')
states = dict(list(states_df))
for state in states:
state_pubs_df = states_df.get_group(state)
state_pubs_df = state_pubs_df.sort_values(by=['Branch Name', 'Pub City'])
pubs = list(state_pubs_df['Pub Name'].tolist())
pub_groups = zip(*(iter(pubs),) * 2) if len(pubs)>1 else [tuple(pubs)]
with st.expander(state, not all_states):
for group in pub_groups:
col1, col2 = st.columns([1,1])
cols = [col1, col2]
for count, col in enumerate(cols):
pub = group[count] if len(group) >= count+1 else None
if pub:
with col:
pub_data = state_pubs_df[state_pubs_df['Pub Name']==pub].to_dict('records')[0]
st.subheader(pub_data['Branch Name'])
st.caption(pub)
pub_col1, pub_col2, pub_col3, _ = st.columns([1,1,1,5])
with pub_col1:
link_nav = re.sub(' ', '%20',
'https://www.google.com/maps/search/' + '+'.join([
pub_data.get('Pub Name'),
pub_data.get('Pub Address 1'),
pub_data.get('Pub City'),
pub_data.get('Pub State'),
pub_data.get('Pub ZIP Code'),
])
)
st.markdown(
f'[<img src="./app/static/gmaps.png" height="21">]({link_nav})',
unsafe_allow_html=True,
)
st.text('')
with pub_col2:
link_fb = pub_data.get('Branch Facebook Page')
if link_fb:
link_fb = re.sub(r'^.*?facebook', 'https://facebook', link_fb)
st.markdown(
f'[<img src="./app/static/fb.png" height="21">]({link_fb})',
unsafe_allow_html=True,
)
st.text('')
with pub_col3:
link_twitter = pub_data.get('Branch Twitter Handle')
if link_twitter:
link_twitter = f'https://twitter.com/{link_twitter}'
st.markdown(
f'[<img src="./app/static/twitter.png" height="21">]({link_twitter})',
unsafe_allow_html=True,
)
st.text('')
# with pub_col2:
# st.markdown("(http://google.com.au/)")
# st.image(image=img_nav, width=14)
if __name__ == '__main__':
main()