wehub-resource-sync
132 lines
3.3 KiB
RPMSpec
132 lines
3.3 KiB
RPMSpec
# -*- mode: python ; coding: utf-8 -*-
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import os
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from PyInstaller.utils.hooks import collect_all, collect_submodules
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def safe_collect_submodules(package_name):
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try:
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return collect_submodules(package_name)
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except Exception:
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return []
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def safe_collect_all(package_name):
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try:
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return collect_all(package_name)
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except Exception:
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# Some optional packages are platform-dependent.
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return [], [], []
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datas_fastembed, binaries_fastembed, hiddenimports_fastembed = safe_collect_all(
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"fastembed"
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)
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datas_fastembed_vs, binaries_fastembed_vs, hiddenimports_fastembed_vs = (
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safe_collect_all("fastembed_vectorstore")
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)
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datas_onnx, binaries_onnx, hiddenimports_onnx = safe_collect_all("onnxruntime")
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datas_pptx, binaries_pptx, hiddenimports_pptx = safe_collect_all("pptx")
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datas_docx2everything, binaries_docx2everything, hiddenimports_docx2everything = (
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safe_collect_all("docx2everything")
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)
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datas_greenlet, binaries_greenlet, hiddenimports_greenlet = safe_collect_all(
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"greenlet"
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)
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datas_spacy, binaries_spacy, hiddenimports_spacy = safe_collect_all("spacy")
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datas_spacy_model, binaries_spacy_model, hiddenimports_spacy_model = (
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safe_collect_all("en_core_web_sm")
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)
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datas_fastembed_cache = (
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[("fastembed_cache", "fastembed_cache")] if os.path.isdir("fastembed_cache") else []
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)
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# mem0 validates vector store configs via dynamic __import__(mem0.configs.vector_stores.{provider});
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# PyInstaller does not trace those. Embedder/vector classes are loaded by string path at runtime.
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hiddenimports_mem0 = safe_collect_submodules("mem0.configs.vector_stores") + [
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"mem0.embeddings.fastembed",
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"mem0.llms.openai",
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"mem0.vector_stores.qdrant",
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]
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a = Analysis(
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["server.py"],
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pathex=[],
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binaries=binaries_fastembed
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+ binaries_fastembed_vs
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+ binaries_onnx
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+ binaries_pptx
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+ binaries_docx2everything
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+ binaries_greenlet
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+ binaries_spacy
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+ binaries_spacy_model,
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datas=[
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("assets", "assets"),
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("static", "static"),
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("alembic", "alembic"),
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]
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+ datas_fastembed_cache
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+ datas_fastembed
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+ datas_fastembed_vs
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+ datas_onnx
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+ datas_pptx
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+ datas_docx2everything
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+ datas_greenlet
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+ datas_spacy
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+ datas_spacy_model,
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hiddenimports=[
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"aiosqlite",
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"alembic",
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"sqlite3",
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"numpy",
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"pandas",
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"greenlet",
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"greenlet._greenlet",
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"importlib.metadata",
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]
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+ hiddenimports_fastembed
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+ hiddenimports_fastembed_vs
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+ hiddenimports_onnx
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+ hiddenimports_pptx
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+ hiddenimports_docx2everything
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+ hiddenimports_greenlet
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+ hiddenimports_spacy
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+ hiddenimports_spacy_model
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+ hiddenimports_mem0,
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hookspath=[],
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hooksconfig={},
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runtime_hooks=[],
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excludes=[],
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noarchive=False,
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optimize=0,
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)
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pyz = PYZ(a.pure)
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exe = EXE(
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pyz,
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a.scripts,
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[],
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exclude_binaries=True,
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name="fastapi",
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debug=False,
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bootloader_ignore_signals=False,
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strip=False,
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upx=False,
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console=False,
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disable_windowed_traceback=False,
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argv_emulation=False,
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target_arch=None,
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codesign_identity=None,
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entitlements_file=None,
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)
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coll = COLLECT(
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exe,
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a.binaries,
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a.datas,
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strip=False,
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upx=False,
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upx_exclude=[],
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name="fastapi",
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)
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