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local-transcription/local-transcription-headless.spec

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# -*- mode: python ; coding: utf-8 -*-
"""PyInstaller spec file for headless Local Transcription backend (no PySide6/Qt).
This builds the Python sidecar for the Tauri frontend.
Much simpler than local-transcription.spec since all Qt dependencies are removed.
"""
import sys
import os
block_cipher = None
is_windows = sys.platform == 'win32'
from PyInstaller.utils.hooks import collect_submodules, collect_data_files
# Find faster_whisper assets folder
import faster_whisper
faster_whisper_path = os.path.dirname(faster_whisper.__file__)
vad_assets_path = os.path.join(faster_whisper_path, 'assets')
# pvporcupine resources (indirect dependency from RealtimeSTT)
try:
import pvporcupine
pvporcupine_path = os.path.dirname(pvporcupine.__file__)
pvporcupine_resources = os.path.join(pvporcupine_path, 'resources')
pvporcupine_lib = os.path.join(pvporcupine_path, 'lib')
pvporcupine_data_files = []
if os.path.exists(pvporcupine_resources):
pvporcupine_data_files.append((pvporcupine_resources, 'pvporcupine/resources'))
if os.path.exists(pvporcupine_lib):
pvporcupine_data_files.append((pvporcupine_lib, 'pvporcupine/lib'))
except ImportError:
pvporcupine_data_files = []
# Data files
datas = [
('config/default_config.yaml', 'config'),
(vad_assets_path, 'faster_whisper/assets'),
] + pvporcupine_data_files
# Hidden imports -- NO PySide6/Qt needed for headless backend
hiddenimports = [
# Transcription engine
'faster_whisper',
'faster_whisper.transcribe',
'faster_whisper.vad',
'ctranslate2',
'sounddevice',
'scipy',
'scipy.signal',
'numpy',
# RealtimeSTT
'RealtimeSTT',
'RealtimeSTT.audio_recorder',
'webrtcvad',
'webrtcvad_wheels',
'silero_vad',
# PyTorch
'torch',
'torch.nn',
'torch.nn.functional',
'torchaudio',
'onnxruntime',
'onnxruntime.capi',
'onnxruntime.capi.onnxruntime_pybind11_state',
'pyaudio',
'halo',
'colorama',
# FastAPI and dependencies
'fastapi',
'fastapi.routing',
'fastapi.responses',
'starlette',
'starlette.applications',
'starlette.routing',
'starlette.responses',
'starlette.websockets',
'starlette.middleware',
'starlette.middleware.cors',
'pydantic',
'pydantic.fields',
'pydantic.main',
'anyio',
'anyio._backends',
'anyio._backends._asyncio',
'sniffio',
# Uvicorn
'uvicorn',
'uvicorn.logging',
'uvicorn.loops',
'uvicorn.loops.auto',
'uvicorn.protocols',
'uvicorn.protocols.http',
'uvicorn.protocols.http.auto',
'uvicorn.protocols.http.h11_impl',
'uvicorn.protocols.websockets',
'uvicorn.protocols.websockets.auto',
'uvicorn.protocols.websockets.wsproto_impl',
'uvicorn.lifespan',
'uvicorn.lifespan.on',
'h11',
'websockets',
'websockets.legacy',
'websockets.legacy.server',
# HTTP client
'requests',
'urllib3',
'certifi',
'charset_normalizer',
]
# Collect submodules for key packages
print("Collecting submodules for backend packages...")
for package in ['fastapi', 'starlette', 'pydantic', 'pydantic_core', 'anyio', 'uvicorn', 'websockets', 'h11', 'httptools', 'uvloop']:
try:
submodules = collect_submodules(package)
hiddenimports += submodules
print(f" + Collected {len(submodules)} submodules from {package}")
except Exception as e:
print(f" - Warning: Could not collect {package}: {e}")
# Collect data files
for package in ['fastapi', 'starlette', 'pydantic', 'uvicorn', 'RealtimeSTT']:
try:
data_files = collect_data_files(package)
if data_files:
datas += data_files
print(f" + Collected {len(data_files)} data files from {package}")
except Exception:
pass
# Pydantic critical deps
hiddenimports += [
'colorsys', 'decimal', 'json', 'ipaddress', 'pathlib', 'uuid',
'email.message', 'typing_extensions',
]
a = Analysis(
['backend/main_headless.py'],
pathex=[],
binaries=[],
datas=datas,
hiddenimports=hiddenimports,
hookspath=['hooks'],
hooksconfig={},
runtime_hooks=[],
excludes=['enum34', 'PySide6', 'PyQt5', 'PyQt6', 'tkinter'],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False,
)
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
exe = EXE(
pyz,
a.scripts,
[],
exclude_binaries=True,
name='local-transcription-backend',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
console=True, # Headless backend needs console for JSON output
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
icon='LocalTranscription.ico' if is_windows else None,
)
coll = COLLECT(
exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
upx_exclude=[],
name='local-transcription-backend',
)