我和一个朋友编写了一个Python应用程序,用于在世界地图上按国家/地区绘制Covid-19病例数。
这是我们的代码:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 15 17:01:50 2020
@author: sheldon
"""
import os
import pandas as pd
import folium
from folium import plugins
import rasterio as rio
from rasterio.warp import calculate_default_transform, reproject, Resampling
import earthpy as et
import pdb
import flask
from flask import Flask
class CovidDF:
def __init__(self, url):
self.url = url
self.raw = None
self.aggregated = None
def reload(self, date):
self.raw = pd.read_csv(self.url)
self.group_by_regions(date)
def group_by_regions(self,date):
df=self.raw[['Province/State','Country/Region','Lat','Long',date]]
self.aggregated=df.groupby(['Country/Region']).agg({'Lat':'mean',
'Long':'mean',
date: 'sum'})
self.aggregated.at['France','Lat']=46.2276
self.aggregated.at['France','Long']=2.2137
class CovidData(object):
def __init__(self):
self.confirmed_cases = CovidDF('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv')
self.deaths = CovidDF('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Deaths.csv')
self.recoveries = CovidDF('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Recovered.csv')
self.loaded = False
self.map = folium.Map(location=[0,0],
tiles = 'Stamen Terrain',
zoom_start=2)
def populate(self, date):
if not self.loaded:
self.confirmed_cases.reload(date)
self.deaths.reload(date)
self.recoveries.reload(date)
self.loaded=True
def plot_number_of_cases(self,df,date,custom_color):
dc=df.iloc[df[date].to_numpy().nonzero()]
latitude = dc.Lat.values.astype('float')
longitude = dc.Long.values.astype('float')
radius = dc[date].values.astype('float')
for la,lo,ra in zip(latitude,longitude,radius):
folium.Circle(
location=[la,lo],
radius=ra*10,
fill=True,
color=custom_color,
fill_color=custom_color,
fill_opacity=0.5
).add_to(self.map)
def plot_number_of_cases_for_all_dataframes(self,date):
self.plot_number_of_cases(self.confirmed_cases.aggregated,date,'blue')
self.plot_number_of_cases(self.deaths.aggregated,date,'red')
self.plot_number_of_cases(self.recoveries.aggregated,date,'green')
my_date='3/14/20'
covid_data=CovidData()
covid_data.populate(my_date)
covid_data.plot_number_of_cases_for_all_dataframes(my_date)
#covid_data.map.save("./mytest.html")
app = Flask(__name__)
@app.route("/")
def display_map():
return covid_data.map._repr_html_()
该应用在Heroku上运行良好,但尝试打开该应用时出现错误。 检查日志会产生以下错误消息:
2020-03-16T10:37:49.600873 + 00:00 heroku [web.1]:错误R10(启动超时)-> Web进程在启动后60秒内未能绑定到$ PORT
2020-03-16T10:37:49.600972 + 00:00 heroku [web.1]:使用SIGKILL停止进程
2020-03-16T10:37:49.697252 + 00:00 heroku [web.1]:进程退出,状态为137
2020-03-16T10:41:33.514461 + 00:00 heroku [router]:at =错误代码= H10 desc =“应用程序崩溃”,方法= GET path =“ /” host = covid19-viz.herokuapp.com request_id = 2e0727f9-d3eb-4966-8252-92a871deaa41 fwd =“ 77.150.72.89” dyno = connect = service = status = 503字节= protocol = https
我已经检查过this other post,并且了解到该错误与端口规范问题有关,但我不知道如何解决。任何帮助将不胜感激!
答案 0 :(得分:1)
解决方案1:
通过python app.py
运行应用程序时,请添加到您的app.py
中:
if __name__ == "__main__":
app.run(host='0.0.0.0', port=os.environ.get('PORT', 80))
解决方案2:
通过flask run
运行应用程序时,将Procfile
调整为:
web: flask run --host=0.0.0.0 --port=$PORT
解决方案3:
使用Gunicorn将Procfile
调整为:
web: gunicorn app:app
将gunicorn
添加到requirements.txt
。 Gunicorn自动绑定到$PORT
。
在Heroku上托管时,您需要绑定到$PORT
,Heroku将其作为环境变量提供给您。