将 Django API 成功部署到 Heroku 后出现应用程序错误

Question

我正在为我的深度学习模型制作一个 api。 api 在本地主机上正常工作。我尝试在 Heroku 上部署它。它已部署，但当我打开链接时，它会显示“应用程序错误”，如下图

发布日志：

2021-02-23 05:47:36.841582: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
Operations to perform:
  Apply all migrations: admin, auth, contenttypes, sessions
Running migrations:
  Applying contenttypes.0001_initial... OK
  Applying auth.0001_initial... OK
  Applying admin.0001_initial... OK
  Applying admin.0002_logentry_remove_auto_add... OK
  Applying admin.0003_logentry_add_action_flag_choices... OK
  Applying contenttypes.0002_remove_content_type_name... OK
  Applying auth.0002_alter_permission_name_max_length... OK
  Applying auth.0003_alter_user_email_max_length... OK
  Applying auth.0004_alter_user_username_opts... OK
  Applying auth.0005_alter_user_last_login_null... OK
  Applying auth.0006_require_contenttypes_0002... OK
  Applying auth.0007_alter_validators_add_error_messages... OK
  Applying auth.0008_alter_user_username_max_length... OK
  Applying auth.0009_alter_user_last_name_max_length... OK
  Applying auth.0010_alter_group_name_max_length... OK
  Applying auth.0011_update_proxy_permissions... OK
  Applying auth.0012_alter_user_first_name_max_length... OK
  Applying sessions.0001_initial... OK

构建日志：

-----> Building on the Heroku-20 stack
-----> Python app detected
 !     Python has released a security update! Please consider upgrading to python-3.7.10
       Learn More: https://devcenter.heroku.com/articles/python-runtimes
-----> Requirements file has been changed, clearing cached dependencies
-----> Installing python-3.7.8
-----> Installing pip 20.1.1, setuptools 47.1.1 and wheel 0.34.2
-----> Installing SQLite3
-----> Installing requirements with pip
       Collecting absl-py==0.11.0
         Downloading absl_py-0.11.0-py3-none-any.whl (127 kB)
       Collecting asgiref==3.3.1
         Downloading asgiref-3.3.1-py3-none-any.whl (19 kB)
       Collecting astunparse==1.6.3
         Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
       Collecting cachetools==4.2.1
         Downloading cachetools-4.2.1-py3-none-any.whl (12 kB)
       Collecting certifi==2020.12.5
         Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB)
       Collecting chardet==4.0.0
         Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB)
       Collecting dj-database-url==0.5.0
         Downloading dj_database_url-0.5.0-py2.py3-none-any.whl (5.5 kB)
       Collecting Django==3.1.7
         Downloading Django-3.1.7-py3-none-any.whl (7.8 MB)
       Collecting djangorestframework==3.12.2
         Downloading djangorestframework-3.12.2-py3-none-any.whl (957 kB)
       Collecting flatbuffers==1.12
         Downloading flatbuffers-1.12-py2.py3-none-any.whl (15 kB)
       Collecting gast==0.3.3
         Downloading gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
       Collecting google-auth==1.27.0
         Downloading google_auth-1.27.0-py2.py3-none-any.whl (135 kB)
       Collecting google-auth-oauthlib==0.4.2
         Downloading google_auth_oauthlib-0.4.2-py2.py3-none-any.whl (18 kB)
       Collecting google-pasta==0.2.0
         Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
       Collecting grpcio==1.32.0
         Downloading grpcio-1.32.0-cp37-cp37m-manylinux2014_x86_64.whl (3.8 MB)
       Collecting gunicorn==20.0.4
         Downloading gunicorn-20.0.4-py2.py3-none-any.whl (77 kB)
       Collecting h5py==2.10.0
         Downloading h5py-2.10.0-cp37-cp37m-manylinux1_x86_64.whl (2.9 MB)
       Collecting idna==2.10
         Downloading idna-2.10-py2.py3-none-any.whl (58 kB)
       Collecting Keras==2.4.3
         Downloading Keras-2.4.3-py2.py3-none-any.whl (36 kB)
       Collecting Keras-Preprocessing==1.1.2
         Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
       Collecting Markdown==3.3.3
         Downloading Markdown-3.3.3-py3-none-any.whl (96 kB)
       Collecting numpy==1.19.5
         Downloading numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl (14.8 MB)
       Collecting oauthlib==3.1.0
         Downloading oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
       Collecting opencv-python-headless==4.5.1.48
         Downloading opencv_python_headless-4.5.1.48-cp37-cp37m-manylinux2014_x86_64.whl (37.6 MB)
       Collecting opt-einsum==3.3.0
         Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
       Collecting Pillow==8.1.0
         Downloading Pillow-8.1.0-cp37-cp37m-manylinux1_x86_64.whl (2.2 MB)
       Collecting protobuf==3.15.1
         Downloading protobuf-3.15.1-cp37-cp37m-manylinux1_x86_64.whl (1.0 MB)
       Collecting psycopg2==2.8.6
         Downloading psycopg2-2.8.6.tar.gz (383 kB)
       Collecting pyasn1==0.4.8
         Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
       Collecting pyasn1-modules==0.2.8
         Downloading pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
       Collecting pytz==2021.1
         Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB)
       Collecting PyYAML==5.4.1
         Downloading PyYAML-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (636 kB)
       Collecting requests==2.25.1
         Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB)
       Collecting requests-oauthlib==1.3.0
         Downloading requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
       Collecting rsa==4.7.1
         Downloading rsa-4.7.1-py3-none-any.whl (36 kB)
       Collecting scipy==1.6.1
         Downloading scipy-1.6.1-cp37-cp37m-manylinux1_x86_64.whl (27.4 MB)
       Collecting six==1.15.0
         Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)
       Collecting sqlparse==0.4.1
         Downloading sqlparse-0.4.1-py3-none-any.whl (42 kB)
       Collecting tensorboard==2.4.1
         Downloading tensorboard-2.4.1-py3-none-any.whl (10.6 MB)
       Collecting tensorboard-plugin-wit==1.8.0
         Downloading tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)
       Collecting tensorflow-cpu==2.4.1
         Downloading tensorflow_cpu-2.4.1-cp37-cp37m-manylinux2010_x86_64.whl (144.1 MB)
       Collecting tensorflow-estimator==2.4.0
         Downloading tensorflow_estimator-2.4.0-py2.py3-none-any.whl (462 kB)
       Collecting termcolor==1.1.0
         Downloading termcolor-1.1.0.tar.gz (3.9 kB)
       Collecting typing-extensions==3.7.4.3
         Downloading typing_extensions-3.7.4.3-py3-none-any.whl (22 kB)
       Collecting urllib3==1.26.3
         Downloading urllib3-1.26.3-py2.py3-none-any.whl (137 kB)
       Collecting Werkzeug==1.0.1
         Downloading Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
       Collecting whitenoise==5.2.0
         Downloading whitenoise-5.2.0-py2.py3-none-any.whl (19 kB)
       Collecting wrapt==1.12.1
         Downloading wrapt-1.12.1.tar.gz (27 kB)
       Collecting importlib-metadata; python_version < "3.8"
         Downloading importlib_metadata-3.4.0-py3-none-any.whl (10 kB)
       Collecting zipp>=0.5
         Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB)
       Building wheels for collected packages: psycopg2, termcolor, wrapt
         Building wheel for psycopg2 (setup.py): started
         Building wheel for psycopg2 (setup.py): finished with status 'done'
         Created wheel for psycopg2: filename=psycopg2-2.8.6-cp37-cp37m-linux_x86_64.whl size=501629 sha256=d8931f1a9c43a4fda009cc1dd73998b6850c5cc8cd0b7262297232221c4cf24d
         Stored in directory: /tmp/pip-ephem-wheel-cache-f0cb0bho/wheels/25/78/75/9c0323f7e1fb42143cbd2439302beb7850a1034abb961cb281
         Building wheel for termcolor (setup.py): started
         Building wheel for termcolor (setup.py): finished with status 'done'
         Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4830 sha256=ba9857e440ee6b55aede8e87e2b021b3a0083e509349a35a86d794ec3e6a7d15
         Stored in directory: /tmp/pip-ephem-wheel-cache-f0cb0bho/wheels/3f/e3/ec/8a8336ff196023622fbcb36de0c5a5c218cbb24111d1d4c7f2
         Building wheel for wrapt (setup.py): started
         Building wheel for wrapt (setup.py): finished with status 'done'
         Created wheel for wrapt: filename=wrapt-1.12.1-cp37-cp37m-linux_x86_64.whl size=77160 sha256=d9035ca277353f42fff12ec8f3a38fea5ee667bac754005cdd9b12f528fd3847
         Stored in directory: /tmp/pip-ephem-wheel-cache-f0cb0bho/wheels/62/76/4c/aa25851149f3f6d9785f6c869387ad82b3fd37582fa8147ac6
       Successfully built psycopg2 termcolor wrapt
       ERROR: tensorflow-cpu 2.4.1 has requirement wheel~=0.35, but you'll have wheel 0.34.2 which is incompatible.
       Installing collected packages: six, absl-py, asgiref, astunparse, cachetools, certifi, chardet, dj-database-url, pytz, sqlparse, Django, djangorestframework, flatbuffers, gast, pyasn1, rsa, pyasn1-modules, google-auth, oauthlib, urllib3, idna, requests, requests-oauthlib, google-auth-oauthlib, google-pasta, grpcio, gunicorn, numpy, h5py, scipy, PyYAML, Keras, Keras-Preprocessing, typing-extensions, zipp, importlib-metadata, Markdown, opencv-python-headless, opt-einsum, Pillow, protobuf, psycopg2, Werkzeug, tensorboard-plugin-wit, tensorboard, tensorflow-estimator, wrapt, termcolor, tensorflow-cpu, whitenoise
       Successfully installed Django-3.1.7 Keras-2.4.3 Keras-Preprocessing-1.1.2 Markdown-3.3.3 Pillow-8.1.0 PyYAML-5.4.1 Werkzeug-1.0.1 absl-py-0.11.0 asgiref-3.3.1 astunparse-1.6.3 cachetools-4.2.1 certifi-2020.12.5 chardet-4.0.0 dj-database-url-0.5.0 djangorestframework-3.12.2 flatbuffers-1.12 gast-0.3.3 google-auth-1.27.0 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 grpcio-1.32.0 gunicorn-20.0.4 h5py-2.10.0 idna-2.10 importlib-metadata-3.4.0 numpy-1.19.5 oauthlib-3.1.0 opencv-python-headless-4.5.1.48 opt-einsum-3.3.0 protobuf-3.15.1 psycopg2-2.8.6 pyasn1-0.4.8 pyasn1-modules-0.2.8 pytz-2021.1 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7.1 scipy-1.6.1 six-1.15.0 sqlparse-0.4.1 tensorboard-2.4.1 tensorboard-plugin-wit-1.8.0 tensorflow-cpu-2.4.1 tensorflow-estimator-2.4.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.3 whitenoise-5.2.0 wrapt-1.12.1 zipp-3.4.0
-----> Discovering process types
       Procfile declares types -> release, web
-----> Compressing...
       Done: 305.3M
-----> Launching...
 !     Warning: Your slug size (305 MB) exceeds our soft limit (300 MB) which may affect boot time.
       Released v17
       https://damp-bayou-18222.herokuapp.com/ deployed to Heroku

输出 heroku logs --dyno router

2021-02-23T06:06:58.983807+00:00 heroku[router]: at=error code=H10 desc="App crashed" method=GET path="/" host=damp-bayou-18222.herokuapp.com request_id=9d41bcd3-8555-4a03-a247-43ff200d5061 fwd="27.61.161.75" dyno= connect= service= status=503 bytes= protocol=http
2021-02-23T06:06:59.611890+00:00 heroku[router]: at=error code=H10 desc="App crashed" method=GET path="/favicon.ico" host=damp-bayou-18222.herokuapp.com request_id=c4a3e114-c3af-4230-8081-63dd4401f113 fwd="27.61.161.75" dyno= connect= service= status=503 bytes= protocol

Procfile

release: python manage.py makemigrations --no-input
release: python manage.py migrate --no-input

web: gunicorn digitrec.wsgi

当我运行命令 heroku ps:sacle web=1 时，它给出了以下输出：

Scaling dynos... done, now running web at 1:Free

我从stackoverflow的不同答案中尝试了许多解决方案，但没有任何效果。请帮帮我！！！

Answer 1

在网络工作者配置中添加 import pyspark.sql.functions as F df4 = df.withColumn("equal", F.when(F.col("col1") != F.coalesce(F.col("col2"), F.lit("")), "not equal") .otherwise("equal") ) df4.show() +------+------+---------+ | col1| col2| equal| +------+------+---------+ |text_1|text_1| equal| |text_1|text_2|not equal| |text_1| null|not equal| +------+------+---------+ 标志

log-file

Answer 2

Warning: Your slug size (305 MB) exceeds our soft limit (300 MB) which may affect boot time.

您的应用必须在规定时间内启动，否则会被杀死

在 release 中使用 Procfile 阶段有效，但发布阶段不是构建的一部分，这意味着 makemigrations 命令在临时文件系统中创建文件，这意味着您的下一次推送将再次创建全新的迁移，这可能会导致数据库出现问题。

最后，如果您的应用提供任何类型的静态文件并用于生产，那么 DEBUG 设置为 False 意味着您必须运行 collectstatic (再次，作为构建而不是发布的一部分）。