Flask restful API部署在具有依赖关系的Heroku上

Question

在Heroku上部署Flask应用程序时，出现以下错误。

2020-10-11T05:28:50.452007+00:00 app[web.1]:  * Serving Flask app "app" (lazy loading)
2020-10-11T05:28:50.452050+00:00 app[web.1]:  * Environment: production
2020-10-11T05:28:50.452113+00:00 app[web.1]:    WARNING: This is a development server. Do not use it in a production deployment.
2020-10-11T05:28:50.452210+00:00 app[web.1]:    Use a production WSGI server instead.
2020-10-11T05:28:50.452246+00:00 app[web.1]:  * Debug mode: on
2020-10-11T05:28:50.462079+00:00 app[web.1]:  * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
2020-10-11T05:29:48.134889+00:00 heroku[web.1]: Error R10 (Boot timeout) -> Web process failed to bind to $PORT within 60 seconds of launch
2020-10-11T05:29:48.151545+00:00 heroku[web.1]: Stopping process with SIGKILL
2020-10-11T05:29:48.224518+00:00 heroku[web.1]: Process exited with status 137
2020-10-11T05:29:48.266775+00:00 heroku[web.1]: State changed from starting to crashed
2020-10-11T10:08:59.088712+00:00 heroku[router]: at=error code=H10 desc="App crashed" method=GET path="/" host=qbdeployment.herokuapp.com request_id=7bf072d9-ed06-46ff-b463-797f74881a32 fwd="122.179.230.179" dyno= connect= service= status=503 bytes= protocol=https
2020-10-11T10:08:59.829982+00:00 heroku[router]: at=error code=H10 desc="App crashed" method=GET path="/favicon.ico" host=qbdeployment.herokuapp.com request_id=7c158f7d-6ce3-44fe-87fd-24adfbfbd43e fwd="122.179.230.179" dyno= connect= service= status=503 bytes= protocol=https
2020-10-11T10:09:10.062949+00:00 heroku[router]: at=error code=H10 desc="App crashed" method=GET path="/" host=qbdeployment.herokuapp.com request_id=fc43dec0-8976-45a6-bec7-87e749125436 fwd="122.179.230.179" dyno= connect= service= status=503 bytes= protocol=https
2020-10-11T10:09:10.678640+00:00 heroku[router]: at=error code=H10 desc="App crashed" method=GET path="/favicon.ico" host=qbdeployment.herokuapp.com request_id=c61189c8-4ca8-4e73-8697-8279f69fefef fwd="122.179.230.179" dyno= connect= service= status=503 bytes= protocol=https

Answer 1

是的，我读了消息，但问题是我正在调用API以获得结果

from flask import request, jsonify

app = flask.Flask(__name__)
app.config["DEBUG"] = True
# Create some test data for our catalog in the form of a list of dictionaries.
@app.route('/', methods=['GET'])
def home():
return '''<h1>WELCOME</h1>
<p>Get all pppp hhhh insterted and delected text from the word document.</p>'''
@app.route('/api', methods=['GET'])

def api_id():
import requests
import xmltodict
import pprint
import json
from zipfile import ZipFile
from urllib.request import urlopen
from io import BytesIO
#     from zipfile import *
from bs4 import BeautifulSoup
import pandas as pd

if 'Id' in request.args:
Id = request.args['Id']
print(type(Id))
else:
return "Error: No id field provided. Please specify an id."
results = []
url='https://bps.quickbase.com/db/****?a=API_GetRecordInfo&rid='+Id+'&fmt=structured&usertoken=****'
#url='https://builderprogram-pverma.quickbase.com/db/bqscz87a5?a=API_GetRecordInfo&rid='+Id+'&fmt=structured&usertoken=b5fdma_nx3z_pzc2d4b2uvnihbayfyd8bk8swsk'
response = requests.request("GET", url)
print(response)
r=response.text.encode('utf8')
print(r)
pp = pprint.PrettyPrinter(indent=4)
data=json.dumps(xmltodict.parse(r))
data1=json.loads(data)
for i in data1.values():
for j in i['field']:
if j['fid']=="11":
Document=j['value']
if j['fid']=="3":
R_Id=j['value']
Mapped_data={R_Id :Document}
#         print(Mapped_data)
#         return Mapped_data
track_changed_for_del=[]
track_changed_for_ins=[]
for key, value in Mapped_data.items():
wordfile=urlopen(value).read()
wordfile=BytesIO(wordfile)
document=ZipFile(wordfile)
document.namelist()
xml_content=document.read('word/document.xml')
wordobj=BeautifulSoup(xml_content.decode('utf-8'),'xml')
key_record=key
for dl in wordobj.find_all('w:del'):
Text=dl.text
author=dl.get('w:author')
Date=dl.get('w:date')
Type='Deleted Text'
ID=dl.get('w:id')
ID=int(ID)
dataDict_del = { 'Text':Text,'Author':author,'Date':Date,'Type':Type,'ID':ID,'Record_Id':key_record}
print(dataDict_del)
track_changed_for_del.append(dataDict_del)
for ins in wordobj.find_all('w:ins'):
Text=ins.text
author=ins.get('w:author')
Date=ins.get('w:date')
Type='Inserted Text'
ID=ins.get('w:id')
ID=int(ID)
dataDict_ins = { 'Text':Text,'Author':author,'Date':Date,'Type':Type,'ID':ID,'Record_Id':key_record}
track_changed_for_ins.append(dataDict_ins)
df_track_changed_ins= pd.DataFrame(track_changed_for_ins)
df_track_changed_del= pd.DataFrame(track_changed_for_del)```