54 lines
2.2 KiB
Python
54 lines
2.2 KiB
Python
from pandas import read_csv
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import pandas as pd
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import requests
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import os
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import discord
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import string
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def get_csv():
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git_url = 'https://api.github.com/repos/CSSEGISandData/COVID-19/contents/csse_covid_19_data/csse_covid_19_daily_reports'
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git_blob = requests.get(git_url).json()[-2]
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file_name = git_blob['name']
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download_url = git_blob['download_url']
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local_csv = "/app/%s" % file_name
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if not os.path.exists(local_csv):
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print("no local csv found, downloading latest")
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r = requests.get(download_url, allow_redirects=True)
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open(local_csv, 'wb').write(r.content)
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return local_csv
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def sum_numbers(location):
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series = read_csv(get_csv(), header=0, parse_dates=[0], index_col=0, squeeze=True)
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last_updated = series['Last_Update'].iloc[0]
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location_query = series.loc[series['Province_State'] == location]
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if location_query.empty:
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location_query = series.loc[series['Country_Region'] == location]
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if location_query.empty:
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embed = discord.Embed(description="No results found for %s.\n\nPlease enter a valid Country name or US state" % location, color=0x428bca, type="rich")
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embed.set_author(name="CSSE at Johns Hopkins University", icon_url='https://www.pngitem.com/pimgs/m/27-270528_johns-hopkins-was-a-founding-member-of-the.png')
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return embed
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sums = location_query.sum()
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confirmed = sums['Confirmed']
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deaths = sums['Deaths']
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recovered = sums['Recovered']
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embed = discord.Embed(description="Most recent Corona stats for %s\nUpdated once a day\n(Last update was %s)" % (location, last_updated), color=0x428bca, type="rich")
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embed.set_author(name="CSSE at Johns Hopkins University", icon_url='https://www.pngitem.com/pimgs/m/27-270528_johns-hopkins-was-a-founding-member-of-the.png')
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embed.add_field(name='Confirmed Cases', value=confirmed)
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embed.add_field(name='Recovered Cases', value=recovered)
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embed.add_field(name='Deaths', value=deaths)
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embed.add_field(name='Source', value='https://github.com/CSSEGISandData/COVID-19')
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return embed
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def parse_message(message):
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try:
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state = string.capwords(' '.join(message.lstrip('!corona').split()))
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if not state:
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state = 'California'
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except IndexError:
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state = 'California'
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return sum_numbers(state)
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