The `WorkerBusy` type was previously a single `Arc<AtomicBool>` shared
between the analyze and transcribe workers. This commit refactors this
to:
- Introduce `AnalyzeBusy` and `TranscribeBusy` newtype wrappers around
`WorkerBusy` to distinguish between the two flags. This allows
`axum::extract::State` to target them individually.
- Move the `BusyGuard` RAII guard into `src/lib.rs` and make it generic
to work with any `WorkerBusy` instance.
- Update the `main.rs`, `worker.rs`, and `routes/user_web.rs` files to
use the new types and guards, ensuring correct state management for
both pipelines.
- Enhance the transcription recovery scan
(`transcribe::recovery::scan_and_enqueue`) to iterate over user
directories and call `enqueue_pending_for_user` for each, making it
more robust and aligned with the per-user self-healing mechanism.
- Add a check for `transcribe_busy` in the `case_detail.html` template
to correctly display "Transkription läuft…" only when the transcribe
worker is actually active.
The distinction between `open/` and `done/` directories for cases has
been removed.
All cases for a user now reside directly under the user's directory
(e.g., `<data_path>/<slug>/<case_id>/`).
This simplifies path management and eliminates redundant directory
traversals.
Key changes include:
- Removed `open/` and `done/` subdirectories in path resolution.
- Introduced a `paths::case_dir` function as a single source of truth
for case directory layout.
- Updated various modules (`recovery`, `auth`, `routes`, `transcribe`,
`tests`) to use the new path structure.
- Adjusted templates to reflect the simplified case status
representation.
Introduced a `test_default` method to `Config` to provide sane defaults
for integration tests. This refactors several test files to use this new
method, reducing boilerplate and improving maintainability.
Added `LLM_TIMEOUT_SECONDS` to the environment variables and `Config`
struct.
This commit introduces the foundation for web-based authentication and
user interface. It includes:
- **Session Management**: Securely handling user sessions using
cryptographically generated tokens, cookies with appropriate security
flags, and server-side storage.
- **Login/Logout Functionality**: Endpoints for users to log in with
their credentials and log out, clearing their session.
- **User Interface**: Basic templates for the login page, a list of
cases, and a detailed view of a single case, allowing users to
navigate and view their data.
- **Authorization**: An `AuthenticatedWebUser` extractor to ensure only
logged-in users can access protected web routes.
- **Configuration**: Added a `cookie_secure` option to the configuration
to control the `Secure` flag on session cookies, useful for local
development.
- **Dependencies**: Added necessary dependencies for password hashing,
time handling, and TOML file manipulation.
- **Helper Binary**: Included a `hash-password` binary to simplify
generating bcrypt hashes for user passwords.
Add a new `failed` field to `RecordingView` and corresponding logic in
the worker.
When FFmpeg remuxing or Whisper transcription fails, the worker now
renames the
original `.m4a` file to `.m4a.failed`. This prevents the recovery scan
from
reprocessing these files and signals to the UI that transcription
failed.
The UI displays a message indicating failure and suggests renaming the
file
back to `.m4a` to retry. A new integration test
`worker_renames_audio_to_failed_on_whisper_error`
is included to verify this behavior.
This commit introduces the capability to configure user-specific Whisper
settings, including language, hotwords, and initial prompts. These
settings are stored in `users.toml` and are passed to the Whisper
service for more tailored transcription results.
New unit tests have been added to verify that the `transcribe` function
correctly forwards these optional settings to the Whisper client and
omits them when they are not provided.
Additionally, a new directory `tests/fixtures/dictations` has been
created to store M4A audio files, their expected transcripts, and
associated hotword files. This serves as a regression corpus for the
Whisper pipeline. A README file explains the structure and conventions
for adding new fixtures. Several new fixtures have been added, covering
various medical domains and transcription scenarios.
Include per-user hotwords and initial prompts in the multipart form data
sent to the Whisper API. The language parameter is now dynamically set
based on user configuration, defaulting to "de" if not specified.
This commit adds several unit tests for the `generate_oneliner`
function, which interacts with the Ollama API. These tests cover:
- Successful parsing of a chat response.
- Normalization of the response content to remove extra whitespace and
quotes.
- Handling of HTTP 500 errors from the server.
- Verification of sent request parameters like `keep_alive` and `model`.
- Parsing errors when the `content` field is missing in the response.
Introduces a dedicated function `validate_and_index_users` to
encapsulate the logic for validating user configurations, checking for
duplicate slugs and API keys. This function returns a `Result` to handle
errors gracefully, and its usage in `load_users` is updated to panic
with a more informative error message.
Additionally, this commit modifies the web routing to fetch and display
audio transcripts. When scanning recordings, it now attempts to read a
corresponding `.transcript.txt` file. If found, the transcript content
is included in the `RecordingView` and rendered in the `cases.html`
template. If the transcript file is not found, a "Transcription pending"
message is displayed.
The `transcribe` function in `whisper.rs` is updated to explicitly set
the language to German (`language=de`), which can improve transcription
accuracy by skipping language detection. The `encode=false` query
parameter has been removed, as the service is designed to handle encoded
audio.
Finally, tests have been added for the new `validate_and_index_users`
function to ensure duplicate slugs and API keys are correctly rejected.
Integration tests in `web_test.rs` have been updated to verify the
rendering of transcripts and the pending status.
This commit introduces a new module `transcribe::recovery` and a
function `scan_and_enqueue`.
This function is called at startup to find audio files that have not yet
been transcribed
and re-enqueues them for processing. This ensures that recordings are
not lost if the
server restarts before transcription is complete.
A new integration test `recovery_enqueues_only_pending_recordings` has
been added to
verify the functionality.
Introduces a new module for interacting with the Whisper ASR service.
This includes
an async function to POST audio files and retrieve transcripts. Error
handling
for network and HTTP status codes is also implemented.
New tests are added to cover successful transcription, HTTP error
responses,
and request timeouts.
Brummel