Comments (4)
Apologies for the delay on this, in v0.2.7 it's now possible to see the error directly without having to access Builder, as logs are streamed to the terminal.
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Hi, thanks for reporting this.
Please change the pip line in the Dockerfile to
RUN pip3 install 'streamsync[ds]' && pip3 install -r requirements.txt
in order to install streamsync[ds]
with the data science dependencies for hello. That should fix it, please let me know if it doesn't.
Alternatively you can edit requirements.txt
to add the optional dependencies manually. I'll classify this as a bug given that since the Dockerfile is in the hello app, it really makes you think that it should work as-is for the hello app.
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@ramedina86 thanks for the quick response. That seems to be resolving the issue for the hello
app. It does not seem to work for my local app, and likely due to missing dependencies.
The challenge is that when I run the container, there is not output on stdout or stderror so I cannot figure out what is wrong, do you have any tips for debugging? Is there a debug flag I could use to print the output?
from streamsync.
@ramedina86 thanks for the quick response. That seems to be resolving the issue for the
hello
app. It does not seem to work for my local app, and likely due to missing dependencies.The challenge is that when I run the container, there is not output on stdout or stderror so I cannot figure out what is wrong, do you have any tips for debugging? Is there a debug flag I could use to print the output?
Ok, another update. The main.py failed to run due to a missing file that is not in the Docker image. But to find that out I had to docker run -it sh and then run the python main.py to actually see the error and stack trace which I don't see when I run the container.
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