Support python hcl2 object to hcl2 text

[jordiclariana]

Is there any plan to support going backwards (from dict to hcl2)? Something like this:

import hcl2
with(open("test.py", 'r')) as file:
    dict = hcl2.load(file)
# Now dict holds a python representation of the test.tf file

hcl2_text = hcl2.dumps(dict)
# Now hcl2_text holds same content as test.py original file

[danieladams456]

I think the terraform json syntax is preferred for machine generated code. That would be much easier to implement than going back to HCL2.

[vikas027]

hey @danieladams456 , that is true but it is still a good idea to have the option to convert the dict back to hcl2. In my use case, I am not converting all my tf files to json just one or two of those.

[ChristophShyper]

It would be great to have possibility to write HCL back to a file. Imagine one wants to parse something during CI/CD phase and commit it back to GitHub after, while still having neat HCL code. Not a nasty JSON :)

[antonbabenko]

+1 for having this feature. It would be great to have this feature as you say, but from what I see here:

https://github.com/amplify-education/python-hcl2/blob/64a3d8b1e85d4521b041bbc36bd98e7dfa2be812/hcl2/transformer.py#L188-L189

The comments are simply ignored, so we can't really combine an updated file from the dict object.

The only solution which can do correct manipulation is the official Go library - https://github.com/hashicorp/hcl/tree/hcl2 .

Please correct me if I am wrong and you know another solution (preferably in Python).

[tr-fernandocunha]

+1

In my case, I want to dynamically update a tfvars file and create a PR using a custom bot.

[thereforsunrise]

ChatGPT brought me here. It keeps suggesting I use hcldumps to convert the json back to HCL - no doubt because of this thread. :D

[swarner1033]

This is my current work around https://nklya.medium.com/how-to-write-hcl2-from-python-53ac12e45874

[kvendingoldo]

any news here? :)

[cah-david-schaffner]

any news here?