AWS LAMBDA "errorMessage": "[Errno 30] Read-only file system: 'drive-python-quickstart.json'"

Question

i have problem with googledrive credentials in AWS Lambda , after i deploy my .zip file before calling the function on the local machine , all is work , but after i deploy zip in AWS after ~30min i having lambda function error

  "errorMessage": "[Errno 30] Read-only file system: 'drive-python-quickstart.json'",
"errorType": "OSError",
  "stackTrace": [
    [
      "/var/task/lambda_function.py",
      33,
      "lambda_handler",
      "pageSize=10,fields=\"nextPageToken, files(id, name)\").execute()"
    ],
    [
      "/var/task/oauth2client/_helpers.py",
      133,
      "positional_wrapper",
      "return wrapped(*args, **kwargs)"
    ],
    [
      "/var/task/googleapiclient/http.py",
      835,
      "execute",
      "method=str(self.method), body=self.body, headers=self.headers)"
    ],
    [
      "/var/task/googleapiclient/http.py",
      162,
      "_retry_request",
      "resp, content = http.request(uri, method, *args, **kwargs)"
    ],
    [
      "/var/task/oauth2client/transport.py",
      186,
      "new_request",
      "credentials._refresh(orig_request_method)"
    ],
    [
      "/var/task/oauth2client/client.py",
      761,
      "_refresh",
      "self._do_refresh_request(http)"
    ],
    [
      "/var/task/oauth2client/client.py",
      802,
      "_do_refresh_request",
      "self.store.locked_put(self)"
    ],
    [
      "/var/task/oauth2client/file.py",
      79,
      "locked_put",
      "f = open(self._filename, 'w')"
    ]
  ]
}

in file file.py i have this code :

 def locked_put(self, credentials):
    """Write Credentials to file.
    Args:
        credentials: Credentials, the credentials to store.
    Raises:
        IOError if the file is a symbolic link.
    """
    self._create_file_if_needed()
    _helpers.validate_file(self._filename)
    f = open(self._filename, 'w')
    f.write(credentials.to_json())
    f.close()

def locked_delete(self):
    """Delete Credentials file.
    Args:
        credentials: Credentials, the credentials to store.
    """
    os.unlink(self._filename)

i try to set f = open(self._filename, 'w') set to 'r', but it doesn't help , maybe whom know how can i fix it ? Please suggest.

Tom Melo · Accepted Answer · 2017-08-10 12:07:06Z

41

Apparently you're trying to write a file where is not permitted. Lambda currently only supports writing files to the /tmp directory.

answered Aug 10, 2017 at 12:07

Tom Melo

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5 Comments

Geetha Ponnusamy Over a year ago

could you please share how you fixed it! I'm facing this issue now - @Andrej

Андрей Ка Over a year ago

I just put all credents files on .zip ant set target to project dir.

Geetha Ponnusamy Over a year ago

I did the same, put all files inside .zip and uploaded in s3 and used that s3 link in lambda. In this case, I'm getting "errorType": "IOError", "errorMessage": "[Errno 30] Read-only file system: 'drive-python-quickstart.json'".. Any suggestion how to resolve this! Thanks in advance

Vikramsinh Gaikwad Over a year ago

how yo fixed it? I still get that error- [Errno 30] Read-only file system: '1587472029.zip' when I create a file in /tmp folder and tries to upload it to EC2?

yudhiesh Over a year ago

If anyone is facing this, in your lambda function directory just create a folder tmp and then just change the file path that you want to write to, to /tmp/FILE.

Dharman · Accepted Answer · 2020-12-29 23:09:07Z

0

I got the same error - to add to @Tom Melo's answer, for others who are still asking. Since the error is trying to write where you are allowed to do so only in \tmp folder.

Copy the credentials in my case the .dat file to the tmp and use the same path in the util.py
I would also like to add a github issue that solves the same problem https://github.com/burnash/gspread/issues/623#issuecomment-548990924

edited Dec 29, 2020 at 23:09

Dharman♦

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answered Dec 29, 2020 at 23:03

Anirudh Chakravarthy Ramji

1

Comments

SenthurLP · Accepted Answer · 2022-06-30 13:08:02Z

0

Elaborating @Tom Melo's answer.

Try using https://docs.python.org/3/library/tempfile.html for creating temporary folders as it has bunch of added advantages and it works seamlessly inside the AWS lambda

answered Jun 30, 2022 at 13:08

SenthurLP

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