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ping 2026-07-02 17:31:23 +08:00
parent 5e34a9993d
commit 8b836470d8
2 changed files with 121 additions and 73 deletions
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113
kgadget/ubuntu/kgadget.spec
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@ -1,81 +1,48 @@
# -*- 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)
a = Analysis(['../src/kgadget.py'],
pathex=['../src'],
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=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
)
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 )

81
kgadget/ubuntu/kgadget_bak1.spec Normal file
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@ -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
)