Lab #1801: Datastore config should support vault expressions or env var references for tokens

Problem

Datastore config in .swamp.yaml requires literal token values. Vault expressions (${{ vault.get(...) }}) are only resolved in model definitions, not at the datastore layer. This means any token-based datastore (gitlab-datastore, or anything not using ambient credential chains) forces a plaintext secret into a committed file.

Impact

.swamp.yaml is committed to git (it holds repo metadata, tool list, version)
Operators must choose between: committing secrets, gitignoring .swamp.yaml entirely, or using git skip-worktree hacks
The share guide's vault migration flow doesn't help because the datastore bootstraps before vault resolution
S3/GCS datastores avoid this by using ambient credential chains, but GitLab/DynamoDB/Postgres with static creds all hit this

Proposed Solution

Support at minimum one of:

Environment variable interpolation in datastore config: ${{ env.GITLAB_TOKEN }} or ${GITLAB_TOKEN}
Vault expression resolution at the datastore layer (resolve vault before datastore init)
A 'credential' field that points to a vault+key pair, resolved specially by the datastore setup

Option 1 is simplest and solves the bootstrap problem without circular dependencies. The token comes from the operator's environment (direnv, shell profile, 1Password CLI, etc.) and .swamp.yaml stays secret-free.

Workaround

Currently using git update-index --skip-worktree on .swamp.yaml and documenting the manual datastore setup step per operator.

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Generated vault keys carry raw data-name and vary characters that strict vault providers reject

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Run index repair-by-stat misses an in-place, same-size record rewrite that restores mtime within the same second as its entry: ctime is reported in whole seconds

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S3-backed serve: a poll that pulls one file invalidates the whole data catalog, so the next query re-reads every version

extensions_search index is never created if the first attempt fails, until the process restarts

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stagecraft: a factory-wide read of work items waiting on a person (no studio, no per-item status loop)

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