- Add setup router (backend/api/routers/setup.py) for first-run wizard: system checks, engine probes, model downloads with progress - Add translation engines service with pluggable backends - Add utils/hf_progress for HuggingFace download progress streaming - Add PyInstaller runtime hooks (numpy compat, torch compiler disable) - Global exception handler short-circuits h11 LocalProtocolError and Starlette ClientDisconnect with HTTP 499 to silence noisy stack traces when users scrub or cancel video mid-stream - /dub/download-mp3 accepts bitrate query param (clamped 64–320kbps) - Refactor ASR/TTS backends, dub pipeline, engine management - Update backend.spec for PyInstaller packaging - Bump pyproject version to 0.2.0; refresh uv.lock Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
"""Numpy compatibility shim for PyInstaller.
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Two things we have to guarantee in a frozen build:
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1. `numpy` gets imported before anything that monkey-touches its C API
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(scipy, torch, torchaudio) so the extension loader runs in a clean
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state and we don't hit "module compiled against API version X but
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this version of numpy is Y" surprises.
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2. NUMPY_EXPERIMENTAL_ARRAY_FUNCTION is left at its default. Some
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frozen builds end up with it unset because PyInstaller strips certain
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env-based defaults — explicitly mirror numpy's own default so
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downstream libs don't disable fast paths by accident.
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This hook runs BEFORE the main script via `runtime_hooks=[...]` in the
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spec, so the import order is deterministic regardless of which library
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the user's code touches first.
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"""
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import os
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os.environ.setdefault("NUMPY_EXPERIMENTAL_ARRAY_FUNCTION", "1")
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try:
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import numpy # noqa: F401 (side-effect import: primes the C extension)
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except ImportError:
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# Let the main app fail loudly with its own error message rather
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# than crashing the runtime hook itself.
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pass
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