Win32 "used by another process" error with datasette publish

[kirajano]

I unfortunately was not successful to deploy to fly.io. Please see the details above of the three scenarios that I took. I am also new to datasette.

Failed to deploy. Attaching logs:

1. Tried with an app created via flyctl apps create frosty-fog-8565 and the ran datasette publish fly covid.db --app frosty-fog-8565

   
   Deploying frosty-fog-8565
   ==> Validating app configuration
   --> Validating app configuration done
   Services
   TCP 80/443 ⇢ 8080

Error error connecting to docker: An unknown error occured.

Traceback (most recent call last): File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main.py", line 7, in File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly\init.py", line 156, in fly "--remote-only", File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils\init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpgcm8cz66\frosty-fog-8565'

2. Tried also with an app that gets autogenerate when running `flyctl launch`. This also generates the .toml file. Ran then `datasette publish fly covid.db --app dark-feather-168` **but different error now**
```Deploying dark-feather-168
==> Validating app configuration

Error not possible to validate configuration: server returned Post "https://api.fly.io/graphql": unexpected EOF

Traceback (most recent call last):
  File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main        
    "__main__", mod_spec)
    exec(code, run_globals)
  File "C:\Users\grott\Anaconda3\Scripts\datasette.exe\__main__.py", line 7, in <module>
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main
    rv = self.invoke(ctx)
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly\__init__.py", line 156, in fly
    "--remote-only",
  File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in __exit__
    next(self.gen)
  File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils\__init__.py", line 451, in temporary_docker_directory
    tmp.cleanup()
  File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup
    _shutil.rmtree(self.name)
  File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree
    return _rmtree_unsafe(path, onerror)
  File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe
    _rmtree_unsafe(fullname, onerror)
  File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe
    onerror(os.rmdir, path, sys.exc_info())
  File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe
    os.rmdir(path)
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\Users\\grott\\AppData\\Local\\Temp\\tmpnoyewcre\\dark-feather-168'

These are also the contents of the generated .toml file in 2 scenario:

# fly.toml file generated for dark-feather-168 on 2021-09-28T20:35:44+02:00

app = "dark-feather-168"

kill_signal = "SIGINT"
kill_timeout = 5
processes = []

[env]

[experimental]
  allowed_public_ports = []
  auto_rollback = true

[[services]]
  http_checks = []
  internal_port = 8080
  processes = ["app"]
  protocol = "tcp"
  script_checks = []

  [services.concurrency]
    hard_limit = 25
    soft_limit = 20
    type = "connections"

  [[services.ports]]
    handlers = ["http"]
    port = 80

  [[services.ports]]
    handlers = ["tls", "http"]
    port = 443

  [[services.tcp_checks]]
    grace_period = "1s"
    interval = "15s"
    restart_limit = 6
    timeout = "2s"

3. But also trying datasette package covid.db to create a local DOCKERFILE to later try to push it via flyctl deploy fails as well.

 => [internal] load build definition from Dockerfile                                                             0.2s 
 => => transferring dockerfile: 396B                                                                             0.0s 
 => [internal] load .dockerignore                                                                                0.1s 
 => => transferring context: 2B                                                                                  0.0s 
 => [internal] load metadata for docker.io/library/python:3.8                                                    4.7s 
 => [auth] library/python:pull token for registry-1.docker.io                                                    0.0s 
 => [internal] load build context                                                                                0.1s 
 => => transferring context: 82.37kB                                                                             0.0s 
 => [1/5] FROM docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3  108.3s 
 => => resolve docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5  0.0s 
 => => sha256:56182bcdf4d4283aa1f46944b4ef7ac881e28b4d5526720a4e9ba03a4730846a 2.22kB / 2.22kB                   0.0s 
 => => sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 54.93MB / 54.93MB                21.6s 
 => => sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 10.87MB / 10.87MB                15.5s 
 => => sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5c5b6 1.86kB / 1.86kB                   0.0s 
 => => sha256:ff08f08727e50193dcf499afc30594c47e70cc96f6fcfd1a01240524624264d0 8.65kB / 8.65kB                   0.0s 
 => => sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 5.15MB / 5.15MB                   6.4s 
 => => sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 54.57MB / 54.57MB                37.7s 
 => => sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 196.45MB / 196.45MB              82.3s 
 => => sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 6.29MB / 6.29MB                  26.6s 
 => => extracting sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366                        5.4s 
 => => sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 16.81MB / 16.81MB                40.5s 
 => => extracting sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8                        0.6s 
 => => extracting sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64                        0.6s 
 => => sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 232B / 232B                      40.1s 
 => => extracting sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587                        5.8s 
 => => sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 2.35MB / 2.35MB                  41.8s 
 => => extracting sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077                       18.8s 
 => => extracting sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58                        1.2s 
 => => extracting sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26                        2.9s 
 => => extracting sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b                        0.0s 
 => => extracting sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543                        0.8s 
 => [2/5] COPY . /app                                                                                            2.3s 
 => [3/5] WORKDIR /app                                                                                           0.2s 
 => [4/5] RUN pip install -U datasette                                                                          26.9s 
 => [5/5] RUN datasette inspect covid.db --inspect-file inspect-data.json                                        3.1s
 => exporting to image                                                                                           1.2s 
 => => exporting layers                                                                                          1.2s 
 => => writing image sha256:b5db0c205cd3454c21fbb00ecf6043f261540bcf91c2dfc36d418f1a23a75d7a                     0.0s

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them
Traceback (most recent call last):
    "__main__", mod_spec)
  File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\grott\Anaconda3\Scripts\datasette.exe\__main__.py", line 7, in <module>
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main
    rv = self.invoke(ctx)
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "c:\users\grott\anaconda3\lib\site-packages\datasette\cli.py", line 283, in package
    call(args)
  File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in __exit__
    next(self.gen)
  File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils\__init__.py", line 451, in temporary_docker_directory
    tmp.cleanup()
  File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup
    _shutil.rmtree(self.name)
  File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree
    return _rmtree_unsafe(path, onerror)
  File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe
    _rmtree_unsafe(fullname, onerror)
  File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe
    onerror(os.rmdir, path, sys.exc_info())
  File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe
    os.rmdir(path)
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\Users\\grott\\AppData\\Local\\Temp\\tmpkb27qid3\\datasette'```

[soobrosa]

My search yielded these four entries: https://github.com/simonw/datasette/issues?q=PermissionError%3A+%5BWinError+32%5D+

Maybe this is the closet hit? https://github.com/simonw/datasette/issues/744

[kirajano]

Thanks, but this one has a different error type. Unfortunately, still not working.

[simonw]

I'm pretty sure this is a Windows issue, not a Fly issue. I imagine it affects other forms of datasette publish too.

[simonw]

I suspect the root cause of this may be in this code: https://github.com/simonw/datasette/blob/63886178a649586b403966a27a45881709d2b868/datasette/utils/__init__.py#L673-L677

[simonw]

Actually no, from that stack trace you provided:

  File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "c:\users\grott\anaconda3\lib\site-packages\datasette\cli.py", line 283, in package
    call(args)
  File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in __exit__
    next(self.gen)
  File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils\__init__.py", line 451, in temporary_docker_directory
    tmp.cleanup()

It looks like the problem occurs here: https://github.com/simonw/datasette/blob/b1fed48a95516ae84c0f020582303ab50ab817e2/datasette/utils/__init__.py#L449-L452

[Rik-de-Kort]

Also ran into this issue today using datasette package. The stack trace takes up my whole PowerShell history, though (recursionerror), but it also concerns the temporary directory. Our development machines have a very zealous scanner that appears to insert itself between every call to the filesystem. I suspected that was causing some racing, but this turned out not to be the case: inserting time.sleep(3) on line 451 of datasette/datasette/utils/__init__.py does not make the problem go away. Commenting out the tmp.cleanup() line does.

The next error I get is docker-specific, so that probably does resolve the Datasette error here.

[hcarter333]

I ran into the same issue on Windows using

datasette publish cloudrun mydatabase.db --service=my-database do do a google cloud publish.

@Rik-de-Kort your fix worked perfectly! Thanks!

I can always go back and delete the temp directories myself :)