Files
nlp-master/run.bat
Marius Mutu d22038d002 refactor: parametrize pipeline cu --course flag + suport Vimeo/text
Un singur set de scripturi acum rulează pe orice curs configurat în
courses.py. Master rămâne la rădăcina repo (backward-compat M1-M6);
cursuri noi (ex. practitioner la shop.cursnlp.ro) primesc un root
dedicat (nlp-practitioner/) cu propriile artefacte.

- courses.py: config dict (master, practitioner) + course_paths() +
  validate_manifest_course() (manifest fără course_key = master).
- download.py: --course + --modules; trei tipuri de lecții (audio HTTP,
  Vimeo iframe via yt-dlp audio-only, text-only cu captură HTML);
  merge cu manifest existent în loc de replace; strip [Audio] pentru
  backward-compat paths.
- transcribe.py: --course + --modules; skip type==text; path-uri prin
  course_paths(); validare course_key.
- summarize.py: --course + --compile; template prompt folosește
  course['name']; scrie SUPORT_CURS.md cu LF explicit (WSL2 baseline).
- md_to_pdf.py: --course resolv-ă summaries_dir / pdf_dir per curs.
- run.bat: detectează master|practitioner ca primul argument,
  propagă --course la sub-scripturi; backward-compat run.bat [modules].
- requirements.txt: + yt-dlp.
- .gitignore: nlp-practitioner/audio/, audio_wav/, scratch_recon.py, tmp_recon/.
- tests/test_regression.sh: 5 gate-uri read-only (import, schema,
  disk-coherence, SUPORT_CURS byte-identic, cross-course isolation).

Regression curs master: PASS (manifest + SUPORT_CURS.md hash
identic cu baseline /tmp/suport_before.md).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-22 14:33:19 +03:00

340 lines
11 KiB
Batchfile

@echo off
setlocal enabledelayedexpansion
cd /d "%~dp0"
:: ============================================================
:: Course + module filter argument parsing
:: Usage:
:: run.bat -> master, all modules (backward-compat)
:: run.bat 1-3 -> master, modules 1-3 (backward-compat)
:: run.bat practitioner -> practitioner, all modules
:: run.bat practitioner 1-3 -> practitioner, modules 1-3
:: ============================================================
set "COURSE_KEY=master"
set "MODULE_FILTER=%~1"
if /i "%~1"=="master" (
set "COURSE_KEY=master"
set "MODULE_FILTER=%~2"
)
if /i "%~1"=="practitioner" (
set "COURSE_KEY=practitioner"
set "MODULE_FILTER=%~2"
)
echo ============================================================
echo NLP Course Pipeline (course: %COURSE_KEY%)
echo ============================================================
echo.
:: ============================================================
:: PREREQUISITES CHECK
:: ============================================================
echo Checking prerequisites...
echo.
set "PREREQ_OK=1"
set "NEED_WHISPER="
set "NEED_MODEL="
:: --- Python ---
:: Avoid executing python.exe directly — the Microsoft Store stub terminates cmd.exe.
:: Use 'py' launcher first (safe), then find python.exe excluding WindowsApps stub.
set "PYTHON_CMD="
where py >nul 2>&1
if not errorlevel 1 (
set "PYTHON_CMD=py"
for /f "tokens=2" %%v in ('py --version 2^>^&1') do echo [OK] Python %%v (py launcher^)
)
if not defined PYTHON_CMD (
for /f "delims=" %%p in ('where python 2^>nul ^| findstr /v /i "WindowsApps"') do (
if not defined PYTHON_CMD (
set "PYTHON_CMD=%%p"
for /f "tokens=2" %%v in ('"%%p" --version 2^>^&1') do echo [OK] Python %%v
)
)
)
if not defined PYTHON_CMD (
echo [X] Python NOT FOUND
echo The Microsoft Store stub does not count as a real Python install.
echo Install from: https://www.python.org/downloads/
echo Make sure to check "Add Python to PATH" during install.
echo.
echo Cannot continue without Python. Install it and re-run.
pause
exit /b 1
)
:: --- .env credentials ---
:: Each course uses its own env var pair. Check based on selected course.
if /i "%COURSE_KEY%"=="practitioner" (
set "ENV_USER=PRACTITIONER_USERNAME"
set "ENV_PASS=PRACTITIONER_PASSWORD"
) else (
set "ENV_USER=COURSE_USERNAME"
set "ENV_PASS=COURSE_PASSWORD"
)
if exist ".env" (
findstr /m "!ENV_USER!=." ".env" >nul 2>&1
if errorlevel 1 (
echo [X] .env File exists but !ENV_USER! is empty
echo Edit .env and set !ENV_USER! and !ENV_PASS!.
set "PREREQ_OK="
) else (
echo [OK] .env Credentials configured for %COURSE_KEY%
)
) else (
echo [X] .env NOT FOUND
echo Create .env with:
echo !ENV_USER!=your_email
echo !ENV_PASS!=your_password
set "PREREQ_OK="
)
:: --- ffmpeg ---
set "FFMPEG_FOUND="
set "NEED_FFMPEG="
where ffmpeg >nul 2>&1
if not errorlevel 1 (
set "FFMPEG_FOUND=1"
for /f "delims=" %%p in ('where ffmpeg 2^>nul') do set "FFMPEG_LOCATION=%%p"
echo [OK] ffmpeg !FFMPEG_LOCATION!
) else (
if exist "ffmpeg.exe" (
set "FFMPEG_FOUND=1"
echo [OK] ffmpeg .\ffmpeg.exe (local^)
) else (
echo [--] ffmpeg Not found - will auto-install
set "NEED_FFMPEG=1"
)
)
:: --- whisper-cli.exe ---
set "WHISPER_FOUND="
set "WHISPER_LOCATION="
if defined WHISPER_BIN (
if exist "%WHISPER_BIN%" (
set "WHISPER_FOUND=1"
set "WHISPER_LOCATION=%WHISPER_BIN% (env var)"
)
)
if not defined WHISPER_FOUND (
where whisper-cli.exe >nul 2>&1
if not errorlevel 1 (
set "WHISPER_FOUND=1"
for /f "delims=" %%p in ('where whisper-cli.exe 2^>nul') do set "WHISPER_LOCATION=%%p (PATH)"
)
)
if not defined WHISPER_FOUND (
if exist "whisper-cli.exe" (
set "WHISPER_FOUND=1"
set "WHISPER_BIN=whisper-cli.exe"
set "WHISPER_LOCATION=.\whisper-cli.exe (local)"
)
)
if not defined WHISPER_FOUND (
if exist "whisper-bin\whisper-cli.exe" (
set "WHISPER_FOUND=1"
set "WHISPER_BIN=whisper-bin\whisper-cli.exe"
set "WHISPER_LOCATION=whisper-bin\whisper-cli.exe (auto-installed)"
)
)
if not defined WHISPER_FOUND (
if exist "whisper.cpp\build\bin\Release\whisper-cli.exe" (
set "WHISPER_FOUND=1"
set "WHISPER_BIN=whisper.cpp\build\bin\Release\whisper-cli.exe"
set "WHISPER_LOCATION=whisper.cpp\build\... (local build)"
)
)
if defined WHISPER_FOUND (
echo [OK] whisper-cli !WHISPER_LOCATION!
) else (
echo [--] whisper-cli Not found - will auto-download
set "NEED_WHISPER=1"
)
:: --- Whisper model ---
if not defined WHISPER_MODEL set "WHISPER_MODEL=models\ggml-medium-q5_0.bin"
if exist "%WHISPER_MODEL%" (
for %%F in ("%WHISPER_MODEL%") do (
set /a "MODEL_MB=%%~zF / 1048576"
)
echo [OK] Whisper model %WHISPER_MODEL% (!MODEL_MB! MB^)
) else (
echo [--] Whisper model Not found - will auto-download (~500 MB^)
set "NEED_MODEL=1"
)
:: --- Disk space ---
echo.
for /f "tokens=3" %%a in ('dir /-c "%~dp0." 2^>nul ^| findstr /c:"bytes free"') do (
set /a "FREE_GB=%%a / 1073741824" 2>nul
)
if defined FREE_GB (
if !FREE_GB! LSS 50 (
echo [!!] Disk space ~!FREE_GB! GB free (need ~50 GB for all audio + transcripts^)
) else (
echo [OK] Disk space ~!FREE_GB! GB free
)
)
echo.
:: --- Stop if .env is broken (can't auto-fix that) ---
if not defined PREREQ_OK (
echo ============================================================
echo MISSING PREREQUISITES - fix the [X] items above and re-run.
echo ============================================================
pause
exit /b 1
)
:: ============================================================
:: AUTO-INSTALL MISSING COMPONENTS
:: ============================================================
if defined NEED_FFMPEG (
echo ============================================================
echo Auto-downloading ffmpeg...
echo ============================================================
"!PYTHON_CMD!" setup_whisper.py ffmpeg
if errorlevel 1 (
echo.
echo ERROR: Could not install ffmpeg.
echo Download manually from: https://www.gyan.dev/ffmpeg/builds/
echo Extract ffmpeg.exe to ffmpeg-bin\ and re-run.
pause
exit /b 1
)
if exist ".ffmpeg_bin_path" del .ffmpeg_bin_path
echo.
)
:: Add ffmpeg-bin to PATH if it exists
if exist "ffmpeg-bin\ffmpeg.exe" (
set "PATH=%~dp0ffmpeg-bin;%PATH%"
)
if defined NEED_WHISPER (
echo ============================================================
echo Auto-downloading whisper.cpp (CPU build^)...
echo ============================================================
"!PYTHON_CMD!" setup_whisper.py whisper
if errorlevel 1 (
echo.
echo ERROR: Failed to auto-download whisper.cpp.
echo Download manually from: https://github.com/ggml-org/whisper.cpp/releases
pause
exit /b 1
)
:: Read the path that setup_whisper.py wrote
if exist ".whisper_bin_path" (
set /p WHISPER_BIN=<.whisper_bin_path
del .whisper_bin_path
echo Using: !WHISPER_BIN!
)
echo.
)
if defined NEED_MODEL (
echo ============================================================
echo Auto-downloading Whisper model (ggml-medium-q5_0, ~500 MB^)...
echo This will take a few minutes depending on your connection.
echo ============================================================
"!PYTHON_CMD!" setup_whisper.py model
if errorlevel 1 (
echo.
echo ERROR: Failed to download model.
echo Download manually from:
echo https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-medium-q5_0.bin
echo Save to: models\ggml-medium-q5_0.bin
pause
exit /b 1
)
echo.
)
echo All prerequisites OK!
echo.
echo ============================================================
echo Starting pipeline...
echo ============================================================
echo.
:: ============================================================
:: STEP 1: VENV + DEPENDENCIES
:: ============================================================
if not exist ".venv\Scripts\python.exe" (
echo [1/4] Creating Python virtual environment...
"!PYTHON_CMD!" -m venv .venv
if errorlevel 1 (
echo ERROR: Failed to create venv.
pause
exit /b 1
)
echo Done.
) else (
echo [1/4] Virtual environment already exists.
)
echo [2/4] Installing Python dependencies...
.venv\Scripts\pip install -q -r requirements.txt
if errorlevel 1 (
echo ERROR: Failed to install dependencies.
pause
exit /b 1
)
echo Done.
:: ============================================================
:: STEP 2: DOWNLOAD
:: ============================================================
echo.
echo [3/4] Downloading audio files...
echo ============================================================
if "!MODULE_FILTER!"=="" (
.venv\Scripts\python download.py --course %COURSE_KEY%
) else (
echo Modules filter: !MODULE_FILTER!
.venv\Scripts\python download.py --course %COURSE_KEY% --modules !MODULE_FILTER!
)
if errorlevel 1 (
echo.
echo WARNING: Some downloads failed. Check download_errors.log
echo Continuing to transcription automatically...
)
:: ============================================================
:: STEP 3: TRANSCRIBE
:: ============================================================
echo.
echo [4/4] Transcribing with whisper.cpp...
echo ============================================================
echo Using: %WHISPER_BIN%
echo Model: %WHISPER_MODEL%
echo.
if "!MODULE_FILTER!"=="" (
.venv\Scripts\python transcribe.py --course %COURSE_KEY%
) else (
echo Modules filter: !MODULE_FILTER!
.venv\Scripts\python transcribe.py --course %COURSE_KEY% --modules !MODULE_FILTER!
)
if errorlevel 1 (
echo.
echo WARNING: Some transcriptions failed. Check transcribe_errors.log
)
:: ============================================================
:: DONE
:: ============================================================
echo.
echo ============================================================
echo Pipeline complete!
echo - Audio files: audio\
echo - Transcripts: transcripts\
echo - Manifest: manifest.json
echo.
echo Next step: generate summaries from WSL2 with Claude Code
echo python summarize.py
echo ============================================================