261 lines
6.9 KiB
RPMSpec
261 lines
6.9 KiB
RPMSpec
# -*- mode: python ; coding: utf-8 -*-
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import os
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from pathlib import Path
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from PyInstaller.utils.hooks import collect_data_files, collect_submodules, collect_dynamic_libs
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# 获取项目根目录（spec 文件所在目录）
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import sys
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_REPO_DIR = Path(os.getcwd()).resolve()
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def _strip_msvc_runtime_binaries(bin_list):
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"""
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从 ``collect_dynamic_libs`` 等额外收集的 binaries 中移除 MSVC 运行库 DLL。
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chromadb / hnswlib 等 wheel 常自带 ``MSVCP140.dll`` 等；与 PyInstaller 已为
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``python.exe`` 解析到的 CRT 一并打入单文件包时，易在运行期混用多份 CRT
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导致 ``MSVCP140.dll`` 内 ``0xc0000005``。统一依赖解释器自带的 CRT 集更安全。
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"""
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skip = frozenset({
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'msvcp140.dll',
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'msvcp140_1.dll',
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'msvcp140_2.dll',
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'msvcp140_atomic_wait.dll',
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'msvcp140_codecvt_ids.dll',
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'vcruntime140.dll',
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'vcruntime140_1.dll',
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'concrt140.dll',
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})
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out = []
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for item in bin_list:
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dest = item[0]
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base = Path(dest).name.lower()
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if base in skip:
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continue
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out.append(item)
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return out
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# 根目录执行：pyinstaller --clean main.spec
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# 收集配置文件夹和数据文件
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datas = [
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# 所有数据文件都不打包，从外部读取
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# ('.env', '.'),
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# ('data/schemas', 'data/schemas'),
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# ('data/embeddings', 'data/embeddings'),
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# ('data/experiences', 'data/experiences'),
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]
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# ChromaDB 在 Windows 单文件 exe 下如缺少 native 动态库，可能在持久化访问时直接“硬退出”
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# 这里显式收集 chromadb 与 hnswlib（向量索引）的动态库/二进制依赖
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binaries = []
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try:
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binaries += collect_dynamic_libs("chromadb")
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except Exception:
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pass
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try:
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binaries += collect_dynamic_libs("hnswlib")
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except Exception:
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pass
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# 某些 chromadb 版本会依赖包内数据文件（如 migrations/默认配置等），一并收集更稳妥
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try:
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datas += collect_data_files("chromadb")
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except Exception:
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pass
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binaries = _strip_msvc_runtime_binaries(binaries)
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def _dedupe_msvc_runtime_in_analysis_binaries(toc):
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"""
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对 ``Analysis`` 产出的 ``a.binaries`` 去重：同名 MSVC 运行库 DLL 只保留一份。
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PyInstaller 会从 Python 安装目录、numpy、torch、chromadb 等多个依赖各自打入
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同名 ``MSVCP140.dll`` 等；单文件解压到 ``_MEI*`` 后若出现多份或加载顺序混乱，
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易在 ``MSVCP140.dll`` 内触发 ``0xc0000005``。优先保留 **源路径位于**
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``sys.base_prefix`` 下的条目（与解释器主 CRT 一致）。
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"""
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vc_names = frozenset({
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'msvcp140.dll',
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'msvcp140_1.dll',
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'msvcp140_2.dll',
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'msvcp140_atomic_wait.dll',
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'msvcp140_codecvt_ids.dll',
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'vcruntime140.dll',
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'vcruntime140_1.dll',
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'concrt140.dll',
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})
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try:
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base_root = str(Path(sys.base_prefix).resolve()).lower()
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except OSError:
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base_root = str(Path(sys.base_prefix)).lower()
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rest = []
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vc_groups = {}
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for item in toc:
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dest = item[0]
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bname = Path(dest).name.lower()
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if bname not in vc_names:
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rest.append(item)
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continue
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vc_groups.setdefault(bname, []).append(item)
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picked = []
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for bname, items in vc_groups.items():
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if len(items) == 1:
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picked.append(items[0])
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continue
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def _score(it):
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try:
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sp = str(Path(it[1]).resolve()).lower()
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except OSError:
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sp = str(it[1]).lower()
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under = 0 if sp.startswith(base_root) else 1
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return (under, len(sp))
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items_sorted = sorted(items, key=_score)
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picked.append(items_sorted[0])
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return rest + picked
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# 收集所有需要的隐藏导入
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hiddenimports = [
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# Web 框架
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'fastapi',
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'fastapi.middleware.cors',
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'fastapi.responses',
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'uvicorn',
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'uvicorn.lifespan.on',
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'uvicorn.config',
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'uvicorn.protocols.http.auto',
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'uvicorn.protocols.websockets.auto',
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'uvicorn.loops.auto',
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# Backend 模块（重要！）
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'main', # backend/main.py
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'backend.main',
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'backend.nl_lite_store',
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'backend.agents',
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'backend.agents.orchestrator',
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'backend.agents.schema_linker',
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'backend.agents.sql_generator',
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'backend.agents.validator',
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'backend.config',
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'backend.config.prompts',
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'backend.config.settings',
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'backend.db',
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'backend.db.engine',
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'backend.db.dbhub_tools',
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'backend.db.dbhub_sql_parser',
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'backend.db.dbhub_allowed_keywords',
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'backend.llm',
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'backend.llm.deepseek_client',
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'backend.schema',
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'backend.schema.manager',
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'backend.schema.loader',
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'backend.schema.indexer',
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'backend.schema.models',
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'backend.utils',
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'backend.utils.dialog_classifier',
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'backend.utils.dialog_context',
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'backend.utils.embedding',
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'backend.utils.fewshot_selector',
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'backend.utils.question_locale',
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'backend.utils.sql_parser',
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'backend.utils.validators',
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# 数据库相关
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'pymssql',
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'sqlalchemy',
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'sqlalchemy.dialects.mssql.pymssql',
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'sqlalchemy.dialects.mysql',
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'sqlalchemy.dialects.postgresql',
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'sqlglot',
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'sqlglot.dialects',
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'sqlparse',
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# 向量数据库 - 使用 collect_submodules 自动收集所有子模块
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# Embedding 相关
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'sentencepiece',
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'accelerate',
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'safetensors',
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# LLM API
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'openai',
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# 数据处理
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'numpy',
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'jieba',
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# Pydantic
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'pydantic',
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'pydantic_settings',
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'dotenv',
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# 工具库
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'tenacity',
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'structlog',
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'tqdm',
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'camel_ai',
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# 标准库中可能被遗漏的
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'email.mime.text',
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'email.mime.multipart',
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] + collect_submodules('chromadb')
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# 排除不必要的模块以减小体积
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excludes = [
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'tkinter',
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'matplotlib',
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'scipy',
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'pandas.tests',
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'numpy.testing',
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'jupyter',
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'notebook',
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'IPython',
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'pytest',
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]
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a = Analysis(
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['api_server.py'],
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pathex=[str(_REPO_DIR)],
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binaries=binaries,
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datas=datas,
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hiddenimports=hiddenimports,
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hookspath=[],
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hooksconfig={},
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runtime_hooks=[str(_REPO_DIR / 'packaging' / 'pyi_rth_crt_path.py')],
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excludes=excludes,
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noarchive=False,
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optimize=0,
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)
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# 去掉 Analysis 自动收集到的重复 MSVC 运行库（比仅过滤手动 binaries 更关键）
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a.binaries = _dedupe_msvc_runtime_in_analysis_binaries(list(a.binaries))
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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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a.binaries,
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a.datas, # 单文件模式：将数据文件打包进 exe
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[],
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name='Backman_Text2SQL_Server',
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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, # 禁用 UPX，避免兼容性问题
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upx_exclude=[],
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runtime_tmpdir=None,
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console=True,
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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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