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https://issues.apache.org/jira/browse/MINIFICPP-2440?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gábor Gyimesi reassigned MINIFICPP-2440:
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Assignee: Gábor Gyimesi
> Install all Python dependencies at once
> ---------------------------------------
>
> Key: MINIFICPP-2440
> URL: https://issues.apache.org/jira/browse/MINIFICPP-2440
> Project: Apache NiFi MiNiFi C++
> Issue Type: Improvement
> Reporter: Ferenc Gerlits
> Assignee: Gábor Gyimesi
> Priority: Major
>
> When installing dependencies for Python processors, we can get into trouble
> if, for example, processor A depends on pyfoo>=1.0.0 but processor B depends
> on pyfoo<2.0.0. If the latest version of pyfoo is 2.0.1, and we load
> processor A first, it will install pyfoo==2.0.1, which will cause an error
> when we try to load processor B.
> With the current setup, we need to manually resolve the conflict, and (in the
> example above) add "pyfoo == 1.9.5" to the list of
> ProcessorDetails.dependencies in processor A if we know we will use it
> together with processor B. Then, if another processor C comes along with the
> requirement pyfoo<1.8.0, we will need to change it again, and also update
> ProcessorDetails.dependencies in processor B. This is not maintainable.
> Pip is quite smart in resolving such conflicts, but it can only do so if we
> give it all the requirements at once. So we should collect the dependency
> requirements from all requirements.txt files and the
> ProcessorDetails.dependencies fields in all processors, and call pip install
> with this full list once, instead of calling it multiple times.
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