相逢意气为君饮,系马高楼垂柳边。这篇文章主要讲述将rasa部署到App引擎时,Google云构建权限错误相关的知识,希望能为你提供帮助。
我正在尝试将描述为here的rasa项目部署到google app引擎,但是由于某些权限问题,构建失败
脚本试图在容器内创建一个文件夹,
FROM rasa/rasa
ENV BOT_ENV=productionCOPY . /var/www
WORKDIR /var/wwwRUN rasa trainENTRYPOINT [ "rasa", "run", "-p", "8080"]
我已向Google Cloud build添加以下权限。
文章图片
文章图片
来自云构建的错误日志。
Epochs: 100%|██████████| 100/100 [00:16<
00:00,6.04it/s, t_loss=1.485, i_loss=0.104, i_acc=1.000]
2020-05-31 18:05:25 INFOrasa.utils.tensorflow.models- Finished training.
2020-05-31 18:05:25 INFOrasa.nlu.model- Finished training component.
2020-05-31 18:05:25 INFOrasa.nlu.model- Starting to train component EntitySynonymMapper
2020-05-31 18:05:25 INFOrasa.nlu.model- Finished training component.
2020-05-31 18:05:25 INFOrasa.nlu.model- Starting to train component ResponseSelector
2020-05-31 18:05:25 INFOrasa.nlu.selectors.response_selector- Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents.
2020-05-31 18:05:25 INFOrasa.nlu.model- Finished training component.
2020-05-31 18:05:25 INFOrasa.nlu.model- Successfully saved model into '/tmp/tmpha6sd3hw/nlu'
Training Core model...
Core model training completed.
Training NLU model...
NLU model training completed.
Traceback (most recent call last):
File "/opt/venv/bin/rasa", line 8, in <
module>
sys.exit(main())
File "/opt/venv/lib/python3.7/site-packages/rasa/__main__.py", line 108, in main
cmdline_arguments.func(cmdline_arguments)
File "/opt/venv/lib/python3.7/site-packages/rasa/cli/train.py", line 77, in train
nlu_additional_arguments=extract_nlu_additional_arguments(args),
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 52, in train
nlu_additional_arguments=nlu_additional_arguments,
File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 107, in train_async
nlu_additional_arguments=nlu_additional_arguments,
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 206, in _train_async_internal
fixed_model_name=fixed_model_name,
File "/opt/venv/lib/python3.7/site-packages/rasa/model.py", line 464, in package_model
create_package_rasa(train_path, output_directory, fingerprint)
File "/opt/venv/lib/python3.7/site-packages/rasa/model.py", line 258, in create_package_rasa
os.makedirs(output_directory)
File "/usr/local/lib/python3.7/os.py", line 223, in makedirs
mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: 'models'
The command '/bin/bash -o pipefail -c rasa train' returned a non-zero code: 1
ERROR
ERROR: build step 0 "gcr.io/cloud-builders/docker" failed: step exited with non-zero status: 1
从云shell执行
gcloud app deploy
时也面临相同的问题my repo源代码,需要删除cloudbuild.yaml,然后再运行
gcloud app deploy
答案这是由于docker的权限问题,通过添加
USER root
修复的>
【将rasa部署到App引擎时,Google云构建权限错误】FROM rasa/rasa
USER root
ENV BOT_ENV=productionCOPY . /var/www
WORKDIR /var/wwwRUN rasa trainENTRYPOINT [ "rasa", "run", "-p", "8080"]
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