How to Organize and Deploy Cloud Function Project with Shared Library?

user_1236326 0
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This is what I'm currently doing. It's undesirable because it replicates identical lib/ folder with shared functions:

/project/
└── /cloudfunctions/
    ├── /functionA/
    │   ├── main.py
    │   └── /lib/
    └── /functionB/
        ├── main.py
        └── /lib/

How do I organize or deploy functions so that the project structure can be more like this?

/project/
└── /cloudfunctions/
    ├── /functionA/
    │   └── main.py
    ├── /functionB/
    │   └── main.py
    └── /lib/

To clarify more, I'm wondering how there isn't an --include-dependencies flag for gcloud functions deploy and I'm wondering what the best practice is to include a shared library like in the second folder structure.

For now this is my janky hack in deploy.sh

rm -rf lib
cp -r ../lib ./lib
gcloud functions deploy...
google-cloud-functions google-cloud-platform python-3.x python
1 Answers

You can have multiple functions in a single directory. A common structure would be as follows:

.
├── common
│   ├── module1.py
│   └── module2.py
├── main.py
└── requirements.txt

Where main.py contains both functions:

from common import module1, module2

def cloudfunction1(request):
    ...

def cloudfunction2(request):
    ...

And you deploy those functions either directly by name:

$ gcloud beta functions deploy cloudfunction1 --runtime python37 --trigger-http
$ gcloud beta functions deploy cloudfunction2 --runtime python37 --trigger-http

Or by entrypoint:

$ gcloud beta functions deploy foo --runtime python37 --entry-point cloudfunction1 --trigger-http
$ gcloud beta functions deploy bar --runtime python37 --entry-point cloudfunction2 --trigger-http
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