我曾尝试在 Google App Engine 柔性环境中部署烧瓶应用程序。部署应用程序时，出现以下错误。
raceback (most recent call last):
File "/env/lib/python3.7/site-packages/gunicorn/arbiter.py", line 583, in spawn_worker
worker.init_process()
File "/env/lib/python3.7/site-packages/gunicorn/workers/base.py", line 119, in init_process
self.load_wsgi()
File "/env/lib/python3.7/site-packages/gunicorn/workers/base.py", line 144, in load_wsgi
self.wsgi = self.app.wsgi()
File "/env/lib/python3.7/site-packages/gunicorn/app/base.py", line 67, in wsgi
self.callable = self.load()
File "/env/lib/python3.7/site-packages/gunicorn/app/wsgiapp.py", line 49, in load
return self.load_wsgiapp()
File "/env/lib/python3.7/site-packages/gunicorn/app/wsgiapp.py", line 39, in load_wsgiapp
return util.import_app(self.app_uri)
File "/env/lib/python3.7/site-packages/gunicorn/util.py", line 358, in import_app
mod = importlib.import_module(module)
File "/opt/python3.7/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'main'
[2021-03-06 14:39:52 +0000] [8] [INFO] Worker exiting (pid: 8)
[2021-03-06 14:39:52 +0000] [1] [INFO] Shutting down: Master
[2021-03-06 14:39:52 +0000] [1] [INFO] Reason: Worker failed to boot.
这是 requirements.txt 文件。
backcall==0.2.0
click==7.1.2
cloudpickle==1.6.0
colorama==0.4.4
cycler==0.10.0
decorator==4.4.2
Flask==1.1.2
Flask-Cors==3.0.10
ipython==7.21.0
ipython-genutils==0.2.0
itsdangerous==1.1.0
jedi==0.18.0
Jinja2==2.11.3
joblib==1.0.1
kiwisolver==1.3.1
llvmlite==0.35.0
MarkupSafe==1.1.1
matplotlib==3.2.0
numba==0.52.0
numpy==1.20.1
pandas==1.2.3
parso==0.8.1
pickle-mixin==1.0.2
pickleshare==0.7.5
Pillow==8.1.1
prompt-toolkit==3.0.16
Pygments==2.8.0
pyparsing==2.4.7
PyQt5==5.15.3
PyQt5-Qt==5.15.2
PyQt5-sip==12.8.1
python-dateutil==2.8.1
pytz==2021.1
scikit-learn==0.24.1
scipy==1.6.1
shap==0.39.0
six==1.15.0
sklearn==0.0
slicer==0.0.7
threadpoolctl==2.1.0
tqdm==4.58.0
traitlets==5.0.5
wcwidth==0.2.5
Werkzeug==1.0.1
gunicorn==20.0.4
和 app.yaml 文件
runtime: python
env: flex
entrypoint: gunicorn -b:$PORT main:app
runtime_config:
python_version: 3.7
automatic_scaling:
min_num_instances: 1
max_num_instances: 2
我还在下面附上了我的 app.py 文件。
from flask import Flask, request, render_template, send_from_directory
from flask_cors import CORS
from ml import preprocess, predict
app = Flask(__name__)
CORS(app)
@app.route('/assets/<path:path>')
def send_js(path):
return send_from_directory('static/assets', path)
@app.route('/', methods = ['POST', 'GET'])
def index():
if request.method == 'POST':
prediction_dict = preprocess.transform(request.data)
scaled = preprocess.scaler([list(prediction_dict.values())])
return preprocess.dump({
'message': predict.do_predict(scaled).tolist()[0],
'review': predict.do_cause(prediction_dict)
})
else:
return render_template('index.html')
@app.route('/status', methods = ['GET'])
def status():
return preprocess.dump({'accuracy': 95.02});
if __name__ == '__main__':
# This is used when running locally. Gunicorn is used to run the
# application on Google App Engine. See entrypoint in app.yaml.
app.run(host='127.0.0.1', port=8080, debug=True)