Flusso dati¶

Accodamento (UI o CLI)¶

sequenceDiagram
    participant U as Utente
    participant UI as Streamlit
    participant J as jobs.py
    participant DB as queue.db

    U->>UI: Upload + Accoda
    UI->>J: enqueue_job()
    J->>J: new_job_id()
    J->>J: copia source in cartella job
    J->>DB: INSERT job queued
    UI->>U: Messaggio successo

Elaborazione¶

sequenceDiagram
    participant W as Worker
    participant J as jobs.py
    participant P as pipeline
    participant T as transcribe
    participant S as summarize

    W->>J: claim_next_job()
    J->>J: status = running
    W->>P: run_pipeline(job_id)
    P->>T: transcribe()
    T->>T: load Parakeet da models/
    P->>P: export TXT + SRT
    alt riassunto richiesto
        P->>S: summarize()
        P->>P: export riassunto.txt
    end
    P->>J: status = completed

Lettura risultati (UI)¶

load_index() → lista job da SQLite
Utente seleziona job → get_job(id)
job.txt_path().read_text() → contenuto da disco

Il DB non contiene il testo trascritto — solo metadati e path.

Variabili path¶

Variabile	Default locale	Docker
`SBOBINATOR_DATA`	`./data`	`/data`
`NEMO_CACHE_DIR`	`./models`	`/models`

Vedi Configurazione.