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When a single repo contains multiple Terraform stacks (e.g. the sub-stacks under terraform-server), each stack needs its own state file under the same S3 backend bucket. The original fivexl tf.sh supports this through a TF_STATE_FILE_NAME env var (defaulting to main.tfstate), sourced from a per-stack tf.sh.env file. Our Python rewrite hardcoded main.tfstate, which would have caused every stack in the same repo to collide on one state file. Plumb a state_file_name argument through TfBackend and resolve it from TF_STATE_FILE_NAME (default main.tfstate) when building the backend. The variable can be set in the shell or in tf.env, which tf already loads on startup. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The human-readable plan was always written to /tmp/tfplan.txt, so when
the reusable workflow runs in a matrix every uploaded artifact contained
a file with the same name. Downloading several at once made it
impossible to tell which plan belonged to which environment.
Write the plan to /tmp/${environment}.plan.txt instead, so the file
inside each artifact is identifiable on its own (e.g. staging.plan.txt,
prod-us.plan.txt).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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