Processing launch points
for 7A_Demo_Core · dry-run only — nothing is executed from this page. Each card shows the legacy CLI workflow that would run, whether its input data appears present, and how to launch it.
AudioPreparationWorkflow
data present — ready to run- Purpose
- Transcribe audio/video submissions with Whisper.
- Implementation
- src/submission_processing/workflows/audio_preparation_workflow.py
- Data check
- 1 audio/video source file(s) found in Teams folders.
- How to launch
-
python -m src.mainthen: Main Menu → Submission Processing → Audio Preparation
WrittenPreparationWorkflow
data present — ready to run- Purpose
- Parse and convert typed document submissions.
- Implementation
- src/submission_processing/workflows/written_preparation_workflow.py
- Data check
- 2 document source file(s) found.
- How to launch
-
python -m src.mainthen: Main Menu → Submission Processing → Written Preparation
HandwritingImportWorkflow
not ready- Purpose
- OCR handwritten submissions from images/scans.
- Implementation
- src/submission_processing/workflows/handwriting_import_workflow.py
- Data check
- No image/scan source files found in Teams folders.
- How to launch
-
python -m src.mainthen: Main Menu → Submission Processing → Handwriting Import
Analysis workflows (speech/written/handwritten)
data present — ready to run- Purpose
- Run AI analysis over prepared submissions.
- Implementation
- src/submission_processing/workflows/
- Data check
- 4 prepared submission artifact(s) ready for analysis.
- How to launch
-
python -m src.mainthen: Main Menu → Submission Processing → Analysis
ReportManager / FeedbackFormWorkflow
data present — ready to run- Purpose
- Generate feedback forms and reports from analyses.
- Implementation
- src/reports/report_manager.py
- Data check
- 1 analysis artifact(s) available for reporting.
- How to launch
-
python -m src.mainthen: Main Menu → Reports