Refactor: Remove unused Whisper variants
This commit removes the `whisper_variant` and `whisper_hotwords_variant` fields from the `run_id` generation and the `print_meta_summary` function. These variants are no longer used as the project is shifting focus to LLM-based generation. The `run_full_case.rs` example has also been updated to reflect this change.
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Vendored
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@@ -12,7 +12,6 @@ Per fixture, three files share a common stem:
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|------------------------|----------|-------------------------------------------------------------------|
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| `<name>.m4a` | yes | Raw AAC recording as produced by `scripts/dictate.sh` / the watch |
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| `<name>.expected.txt` | yes | Golden transcript, hand-reviewed — the regression target |
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| `<name>.hotwords.txt` | no | One-line hotwords list if the fixture is meant to test Fachvokabular |
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| `<name>.notes.md` | no | Short description: what this case exercises, any gotchas |
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## Naming convention
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@@ -24,8 +23,7 @@ Per fixture, three files share a common stem:
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- `ortho_knie_meniskus`
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- `psych_ptbs_flashbacks`
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The prefix encodes the medical domain so we can group by specialty when we
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start per-user hotwords tuning.
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The prefix encodes the medical domain so we can group by specialty.
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## Adding a new fixture
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@@ -36,11 +34,9 @@ start per-user hotwords tuning.
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4. Extract the transcript from the recording metadata sidecar:
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`jq -r '.transcript.text' $DATA_PATH/<slug>/open/<case_id>/<timestamp>.json`
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→ write it to `tests/fixtures/dictations/<name>.expected.txt`.
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5. **Review the transcript** — fix any Whisper errors by hand. This is the
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5. **Review the transcript** — fix any ASR errors by hand. This is the
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golden reference; accept nothing that is actually wrong.
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6. If the fixture tests Fachvokabular, add `<name>.hotwords.txt` with the
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domain-specific words, one space-separated line.
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7. Commit all three/four files together.
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6. Commit the files together.
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## What not to commit here
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