feat: Add auto-trigger for LLM analysis

Introduces a new module `auto_trigger` responsible for opportunistically
initiating LLM analysis jobs. This mechanism scans case directories for
new or updated recordings and transcripts, automatically creating and
queuing analysis jobs when appropriate.

Key components:
- `evaluate_case`: Pure function to determine if a case is ready for
  analysis based on recording status, transcriptions, document
  modification times, and existing job/failure markers.
- `try_enqueue`: Orchestrates the analysis job creation and queuing
  process if `evaluate_case` returns `AutoDecision::Enqueue`.
- `try_enqueue_all_for_user`: Iterates through all user cases to trigger
  `try_enqueue` for eligible ones.
- `write_failure_marker`/`remove_failure_marker`: Handles persistent
  recording of analysis failures and their cleanup.

This feature aims to reduce manual intervention by automatically
analyzing new or changed case data.

This commit is contained in:

Brummel

2026-04-20 09:18:30 +02:00

parent 1d702e2d85

commit 70425939b2

9 changed files with 585 additions and 3 deletions

									
										server/src/error.rs
									
		+1
		
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				@@ -2,6 +2,7 @@ use axum::http::StatusCode;

				use axum::response::{IntoResponse, Response};

				use serde_json::json;

				#[derive(Debug)]

				pub enum AppError {

				    Unauthorized,

				    BadRequest(String),