Merge branch 'main' of git.opencomputing.cn:yumoqing/kboss

kgadget/ubuntu/kgadget_bak.spec

@@ -0,0 +1,60 @@
+# -*- mode: python ; coding: utf-8 -*-
+
+import os
+import dataui
+
+from PyInstaller.utils.hooks import collect_dynamic_libs   # 新增导入
+
+# 收集所有科学计算库的动态库
+numpy_binaries = collect_dynamic_libs('numpy')
+# scipy_binaries = collect_dynamic_libs('scipy')    # 如果使用了 scipy
+pandas_binaries = collect_dynamic_libs('pandas')  # 如果使用了 pandas
+kafka_binaries = collect_dynamic_libs('confluent_kafka')
+
+# 合并所有动态库列表
+all_binaries = kafka_binaries
+
+duipath = os.path.dirname(dataui.__file__)
+
+block_cipher = None
+
+a = Analysis(['../src/kgadget.py'],
+             pathex=['../src'],
+             binaries=all_binaries,
+             datas=[
+				(f'{duipath}/tmpl/bricks/*.*', 'dataui/tmpl/bricks')
+			 ],
+             hiddenimports=[
+				'sqlite3',
+				'aiopg',
+				'aiomysql'
+			 ],
+             hookspath=[],
+             hooksconfig={},
+             runtime_hooks=[],
+             excludes=[],
+             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,
+          a.binaries,
+          a.zipfiles,
+          a.datas,  
+          [],
+          name='kgadget',
+          debug=False,
+          bootloader_ignore_signals=False,
+          strip=False,
+          upx=True,
+          upx_exclude=[],
+          runtime_tmpdir=None,
+          console=True,
+          disable_windowed_traceback=False,
+          target_arch=None,
+          codesign_identity=None,
+          entitlements_file=None )

kgadget/ubuntu/kgadget_bak1.spec

@@ -0,0 +1,81 @@
+# -*- mode: python ; coding: utf-8 -*-
+
+import os
+import dataui
+import confluent_kafka
+from PyInstaller.utils.hooks import collect_dynamic_libs, collect_submodules
+
+# ---- 定位 confluent_kafka.libs ----
+kafka_libs_dir = os.path.join(
+    os.path.dirname(confluent_kafka.__file__),
+    '..',
+    'confluent_kafka.libs'
+)
+kafka_libs_dir = os.path.normpath(kafka_libs_dir)
+if not os.path.exists(kafka_libs_dir):
+    alt_dir = os.path.join(
+        os.path.dirname(os.path.dirname(confluent_kafka.__file__)),
+        'confluent_kafka.libs'
+    )
+    if os.path.exists(alt_dir):
+        kafka_libs_dir = alt_dir
+
+print(f"[SPEC] Kafka libs dir: {kafka_libs_dir}, exists: {os.path.exists(kafka_libs_dir)}")
+
+# ---- 收集 numpy/pandas 动态库（若使用） ----
+numpy_binaries = collect_dynamic_libs('numpy') if False else []   # 如果使用，改为 True
+pandas_binaries = collect_dynamic_libs('pandas') if False else []
+# 我们也可以直接通过 datas 包含它们的 .libs 目录（但更推荐用 collect_dynamic_libs）
+# 这里我们先用 collect_dynamic_libs 并合并到 binaries
+all_binaries = numpy_binaries + pandas_binaries   # 加入 kafka 吗？不，我们用 datas
+
+duipath = os.path.dirname(dataui.__file__)
+block_cipher = None
+
+a = Analysis(
+    ['../src/kgadget.py'],
+    pathex=['../src'],
+    binaries=all_binaries,      # 包含 numpy/pandas 的 .so
+    datas=[
+        (f'{duipath}/tmpl/bricks/*.*', 'dataui/tmpl/bricks'),
+        (kafka_libs_dir, 'confluent_kafka.libs'),   # 复制整个 kafka 目录
+    ],
+    hiddenimports=[
+        'sqlite3',
+        'aiopg',
+        'aiomysql',
+        'confluent_kafka.admin',
+    ],
+    hookspath=[],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=[],
+    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,
+    a.binaries,
+    a.zipfiles,
+    a.datas,
+    [],
+    name='kgadget',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=False,                # 务必关闭 UPX
+    upx_exclude=[],
+    runtime_tmpdir=None,
+    console=True,
+    disable_windowed_traceback=False,
+    target_arch=None,
+    codesign_identity=None,
+    entitlements_file=None,
+    onefile=False             # 显式指定 onefile=False
+)