下面的是官网的文档,

我们可以用自定义spec的方式把想要的文件打包到目标文件夹里面

例如:

我们在程序中用了一个图标 test.ico,

如果我们只用 pyinstaller -w test.py

那生成的 dist/test/ 文件夹中是没有test.ico的,需要手动拷贝过去

如果我们首先生成spec :   pyi-makespec -w test.py, 就会先生成 test.spec(当前目录下),

类似

# -*- mode: python -*-

block_cipher = None

a = Analysis(['test.py'],
pathex=['D:\\Test\\python'],
binaries=None,
datas=None,
hiddenimports=[],
hookspath=[],
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
exclude_binaries=True,
name='SearchPhoneUI',
debug=False,
strip=False,
upx=True,
console=False , icon='test.ico')
coll = COLLECT(exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
name='test')

那我们就可以修改这个spec文件,a.datas +=[('phonebook.ico','D:\\Test\\python\\test.ico','DATA')]

# -*- mode: python -*-

block_cipher = None

a = Analysis(['test.py'],
pathex=['D:\\Test\\python\\'],
binaries=None,
datas=None,
hiddenimports=[],
hookspath=[],
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher)
a.datas +=[(test.ico','D:\\Test\\python\\test.ico','DATA')]
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
exclude_binaries=True,
name='SearchPhoneUI',
debug=False,
strip=False,
upx=True,
console=False , icon='test.ico')
coll = COLLECT(exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
name='test')

加红的就是新加的内容,指定了需要打包的文件,

最后执行 pyinstaller -w test.spec 就可以了

Using Spec Files

When you execute

pyinstaller options.. myscript.py

the first thing PyInstaller does is to build a spec (specification) file myscript.spec. That file is stored in the --specpath= directory, by default the current directory.

The spec file tells PyInstaller how to process your script. It encodes the script names and most of the options you give to the pyinstaller command. The spec file is actually executable Python code.PyInstaller builds the app by executing the contents of the spec file.

For many uses of PyInstaller you do not need to examine or modify the spec file. It is usually enough to give all the needed information (such as hidden imports) as options to the pyinstaller command and let it run.

There are four cases where it is useful to modify the spec file:

  • When you want to bundle data files with the app.
  • When you want to include run-time libraries (.dll or .so files) that PyInstaller does not know about from any other source.
  • When you want to add Python run-time options to the executable.
  • When you want to create a multiprogram bundle with merged common modules.

These uses are covered in topics below.

You create a spec file using this command:

pyi-makespec options name.py [other scripts ...]

The options are the same options documented above for the pyinstaller command. This command creates the name.spec file but does not go on to build the executable.

After you have created a spec file and modified it as necessary, you build the application by passing the spec file to the pyinstaller command:

pyinstaller options name.spec

When you create a spec file, most command options are encoded in the spec file. When you build from a spec file, those options cannot be changed. If they are given on the command line they are ignored and replaced by the options in the spec file.

Only the following command-line options have an effect when building from a spec file:

  • –upx-dir=
  • –distpath=
  • –workpath=
  • –noconfirm
  • –ascii

Spec File Operation

After PyInstaller creates a spec file, or opens a spec file when one is given instead of a script, the pyinstaller command executes the spec file as code. Your bundled application is created by the execution of the spec file. The following is an shortened example of a spec file for a minimal, one-folder app:

block_cipher = None
a = Analysis(['minimal.py'],
pathex=['/Developer/PItests/minimal'],
binaries=None,
datas=None,
hiddenimports=[],
hookspath=None,
runtime_hooks=None,
excludes=None,
cipher=block_cipher)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,... )
coll = COLLECT(...)

The statements in a spec file create instances of four classes, AnalysisPYZEXE and COLLECT.

  • A new instance of class Analysis takes a list of script names as input. It analyzes all imports and other dependencies. The resulting object (assigned to a) contains lists of dependencies in class members named:

    • scripts: the python scripts named on the command line;
    • pure: pure python modules needed by the scripts;
    • binaries: non-python modules needed by the scripts;
    • datas: non-binary files included in the app.
  • An instance of class PYZ is a .pyz archive (described under Inspecting Archives below), which contains all the Python modules from a.pure.
  • An instance of EXE is built from the analyzed scripts and the PYZ archive. This object creates the executable file.
  • An instance of COLLECT creates the output folder from all the other parts.

In one-file mode, there is no call to COLLECT, and the EXE instance receives all of the scripts, modules and binaries.

You modify the spec file to pass additional values to Analysis and to EXE.

Adding Files to the Bundle

To add files to the bundle, you create a list that describes the files and supply it to the Analysis call. To find the data files at run-time, see Run-time Information.

Adding Data Files

To have data files included in the bundle, provide a list that describes the files as the value of the datas= argument to Analysis. The list of data files is a list of tuples. Each tuple has two values, both of which must be strings:

  • The first string specifies the file or files as they are in this system now.
  • The second specifies the name of the folder to contain the files at run-time.

For example, to add a single README file to the top level of a one-folder app, you could modify the spec file as follows:

a = Analysis(...
datas=[ ('src/README.txt', '.') ],
...
)

You have made the datas= argument a one-item list. The item is a tuple in which the first string says the existing file is src/README.txt. That file will be looked up (relative to the location of the spec file) and copied into the top level of the bundled app.

The strings may use either / or \ as the path separator character. You can specify input files using “glob” abbreviations. For example to include all the .mp3 files from a certain folder:

a = Analysis(...
datas= [ ('/mygame/sfx/*.mp3', 'sfx' ) ],
...
)

All the .mp3 files in the folder /mygame/sfx will be copied into a folder named sfx in the bundled app.

The spec file is more readable if you create the list of added files in a separate statement:

added_files = [
( '/mygame/sfx/*.mp3', 'sfx' ),
( 'src/README.txt', '.' )
]
a = Analysis(...
datas = added_files,
...
)

You can also include the entire contents of a folder:

added_files = [
( '/mygame/data', 'data' ),
( '/mygame/sfx/*.mp3', 'sfx' ),
( 'src/README.txt', '.' )
]

The folder /mygame/data will be reproduced under the name data in the bundle.

Using Data Files from a Module

If the data files you are adding are contained within a Python module, you can retrieve them using pkgutils.get_data().

For example, suppose that part of your application is a module named helpmod. In the same folder as your script and its spec file you have this folder arrangement:

helpmod
__init__.py
helpmod.py
help_data.txt

Because your script includes the statement import helpmodPyInstaller will create this folder arrangement in your bundled app. However, it will only include the .py files. The data file help_data.txt will not be automatically included. To cause it to be included also, you would add a datas tuple to the spec file:

a = Analysis(...
datas= [ ('helpmod/help_data.txt', 'helpmod' ) ],
...
)

When your script executes, you could find help_data.txt by using its base folder path, as described in the previous section. However, this data file is part of a module, so you can also retrieve its contents using the standard library function pkgutil.get_data():

import pkgutil
help_bin = pkgutil.get_data( 'helpmod', 'help_data.txt' )

In Python 3, this returns the contents of the help_data.txt file as a binary string. If it is actually characters, you must decode it:

help_utf = help_bin.decode('UTF-8', 'ignore')

Adding Binary Files

To add binary files, make a list of tuples that describe the files needed. Assign the list of tuples to the binaries= argument of Analysis.

Normally PyInstaller learns about .so and .dll libraries by analyzing the imported modules. Sometimes it is not clear that a module is imported; in that case you use a --hidden-import= command option. But even that might not find all dependencies.

Suppose you have a module special_ops.so that is written in C and uses the Python C-API. Your program imports special_ops, and PyInstaller finds and includes special_ops.so. But perhaps special_ops.so links to libiodbc.2.dylibPyInstaller does not find this dependency. You could add it to the bundle this way:

a = Analysis(...
binaries=[ ( '/usr/lib/libiodbc.2.dylib', 'libiodbc.dylib' ) ],
...

As with data files, if you have multiple binary files to add, create the list in a separate statement and pass the list by name.

Advanced Methods of Adding Files

PyInstaller supports a more advanced (and complex) way of adding files to the bundle that may be useful for special cases. See The TOC and Tree Classes below.

Giving Run-time Python Options

You can pass command-line options to the Python interpreter. The interpreter takes a number of command-line options but only the following are supported for a bundled app:

  • v to write a message to stdout each time a module is initialized.
  • u for unbuffered stdio.
  • W and an option to change warning behavior: W ignore or W once or W error.

To pass one or more of these options, create a list of tuples, one for each option, and pass the list as an additional argument to the EXE call. Each tuple has three elements:

  • The option as a string, for example v or W ignore.
  • None
  • The string OPTION

For example modify the spec file this way:

options = [ ('v', None, 'OPTION'), ('W ignore', None, 'OPTION') ]
a = Analysis( ...
)
...
exe = EXE(pyz,
a.scripts,
options, <--- added line
exclude_binaries=...
)

Spec File Options for a Mac OS X Bundle

When you build a windowed Mac OS X app (that is, running in Mac OS X, you specify the --onefile --windowed options), the spec file contains an additional statement to create the Mac OS X application bundle, or app folder:

app = BUNDLE(exe,
name='myscript.app',
icon=None,
bundle_identifier=None)

The icon= argument to BUNDLE will have the path to an icon file that you specify using the --icon=option. The bundle_identifier will have the value you specify with the --osx-bundle-identifier=option.

An Info.plist file is an important part of a Mac OS X app bundle. (See the Apple bundle overview for a discussion of the contents of Info.plist.)

PyInstaller creates a minimal Info.plist. You can add or overwrite entries in the plist by passing aninfo_plist= parameter to the BUNDLE call. The value of this argument is a Python dict. Each key and value in the dict becomes a key and value in the Info.plist file. For example, when you use PyQt5, you can set NSHighResolutionCapable to True to let your app also work in retina screen:

app = BUNDLE(exe,
name='myscript.app',
icon=None,
bundle_identifier=None
info_plist={
'NSHighResolutionCapable': 'True'
},
)

The info_plist= parameter only handles simple key:value pairs. It cannot handle nested XML arrays. For example, if you want to modify Info.plist to tell Mac OS X what filetypes your app supports, you must add a CFBundleDocumentTypes entry to Info.plist (see Apple document types). The value of that keyword is a list of dicts, each containing up to five key:value pairs.

To add such a value to your app’s Info.plist you must edit the plist file separately after PyInstallerhas created the app.  However, when you re-run PyInstaller, your changes will be wiped out. One solution is to prepare a complete Info.plist file and copy it into the app after creating it.

Begin by building and testing the windowed app. When it works, copy the Info.plist prepared by PyInstaller. This includes the CFBundleExecutable value as well as the icon path and bundle identifier if you supplied them. Edit the Info.plist as necessary to add more items and save it separately.

From that point on, to rebuild the app call PyInstaller in a shell script, and follow it with a statement such as:

cp -f Info.plist dist/myscript.app/Contents/Info.plist

Multipackage Bundles

Note

This feature is broken in the PyInstaller 3.0 release. Do not attempt building multipackage bundles until the feature is fixed. If this feature is important to you, follow and comment on PyInstaller Issue #1527.

Some products are made of several different apps, each of which might depend on a common set of third-party libraries, or share code in other ways. When packaging such an product it would be a pity to treat each app in isolation, bundling it with all its dependencies, because that means storing duplicate copies of code and libraries.

You can use the multipackage feature to bundle a set of executable apps so that they share single copies of libraries. You can do this with either one-file or one-folder apps. Each dependency (a DLL, for example) is packaged only once, in one of the apps. Any other apps in the set that depend on that DLL have an “external reference” to it, telling them to extract that dependency from the executable file of the app that contains it.

This saves disk space because each dependency is stored only once. However, to follow an external reference takes extra time when an app is starting up. All but one of the apps in the set will have slightly slower launch times.

The external references between binaries include hard-coded paths to the output directory, and cannot be rearranged. If you use one-folder mode, you must install all the application folders within a single parent directory. If you use one-file mode, you must place all the related applications in the same directory when you install the application.

To build such a set of apps you must code a custom spec file that contains a call to the MERGEfunction. This function takes a list of analyzed scripts, finds their common dependencies, and modifies the analyses to minimize the storage cost.

The order of the analysis objects in the argument list matters. The MERGE function packages each dependency into the first script from left to right that needs that dependency. A script that comes later in the list and needs the same file will have an external reference to the prior script in the list. You might sequence the scripts to place the most-used scripts first in the list.

A custom spec file for a multipackage bundle contains one call to the MERGE function:

MERGE(*args)

MERGE is used after the analysis phase and before EXE and COLLECT. Its variable-length list of arguments consists of a list of tuples, each tuple having three elements:

  • The first element is an Analysis object, an instance of class Analysis, as applied to one of the apps.
  • The second element is the script name of the analyzed app (without the .py extension).
  • The third element is the name for the executable (usually the same as the script).

MERGE examines the Analysis objects to learn the dependencies of each script. It modifies these objects to avoid duplication of libraries and modules. As a result the packages generated will be connected.

Example MERGE spec file

One way to construct a spec file for a multipackage bundle is to first build a spec file for each app in the package. Suppose you have a product that comprises three apps named (because we have no imagination) foobar and zap:

pyi-makespec options as appropriate... foo.py

pyi-makespec options as appropriate... bar.py

pyi-makespec options as appropriate... zap.py

Check for warnings and test each of the apps individually. Deal with any hidden imports and other problems. When all three work correctly, combine the statements from the three files foo.specbar.spec and zap.spec as follows.

First copy the Analysis statements from each, changing them to give each Analysis object a unique name:

foo_a = Analysis(['foo.py'],
pathex=['/the/path/to/foo'],
hiddenimports=[],
hookspath=None) bar_a = Analysis(['bar.py'], etc., etc... zap_a = Analysis(['zap.py'], etc., etc...

Now call the MERGE method to process the three Analysis objects:

MERGE( (foo_a, 'foo', 'foo'), (bar_a, 'bar', 'bar'), (zap_a, 'zap', 'zap') )

The Analysis objects foo_abar_a, and zap_a are modified so that the latter two refer to the first for common dependencies.

Following this you can copy the PYZEXE and COLLECT statements from the original three spec files, substituting the unique names of the Analysis objects where the original spec files have a., for example:

foo_pyz = PYZ(foo_a.pure)
foo_exe = EXE(foo_pyz, foo_a.scripts, ... etc.
foo_coll = COLLECT( foo_exe, foo_a.binaries, foo_a.datas... etc. bar_pyz = PYZ(bar_a.pure)
bar_exe = EXE(bar_pyz, bar_a.scripts, ... etc.
bar_coll = COLLECT( bar_exe, bar_a.binaries, bar_a.datas... etc.

(If you are building one-file apps, there is no COLLECT step.) Save the combined spec file as foobarzap.spec and then build it:

pyi-build foobarzap.spec

The output in the dist folder will be all three apps, but the apps dist/bar/bar and dist/zap/zap will refer to the contents of dist/foo/ for shared dependencies.

There are several multipackage examples in the PyInstaller distribution folder under /tests/old_suite/multipackage.

Remember that a spec file is executable Python. You can use all the Python facilities (for and withand the members of sys and io) in creating the Analysis objects and performing the PYZEXE and COLLECT statements. You may also need to know and use The TOC and Tree Classes described below.

Globals Available to the Spec File

While a spec file is executing it has access to a limited set of global names. These names include the classes defined by PyInstallerAnalysisBUNDLECOLLECTEXEMERGEPYZTOC and Tree, which are discussed in the preceding sections.

Other globals contain information about the build environment:

DISTPATH
The relative path to the dist folder where the application will be stored. The default path is relative to the current directory. If the --distpath= option is used, DISTPATHcontains that value.
HOMEPATH
The absolute path to the PyInstaller distribution, typically in the current Python site-packages folder.
SPEC
The complete spec file argument given to the pyinstaller command, for example myscript.spec or source/myscript.spec.
SPECPATH
The path prefix to the SPEC value as returned by os.split().
specnm
The name of the spec file, for example myscript.
workpath
The path to the build directory. The default is relative to the current directory. If the workpath= option is used, workpath contains that value.
WARNFILE
The full path to the warnings file in the build directory, for example build/warnmyscript.txt.

摘记 pyinstaller 使用自定义 spec的更多相关文章

  1. pyinstaller spec

    pyinstaller options..script.py pyi-makespec options script.py [other scripts ...] pyinstaller option ...

  2. Pyinstaller通过spec文件打包py程序(多个py脚本)

    Pyinstaller pyinstaller是python的一个第三方模块,使用它可以将python程序打包为可执行文件,实现打包后的程序在没有python环境的机器上也可以运行.pyinstall ...

  3. (转!)Pyinstaller 打包发布经验总结

    原文地址 https://blog.csdn.net/weixin_42052836/article/details/82315118 具体的实现图待本人实现后贴上 原 Pyinstaller 打包发 ...

  4. PyInstaller安装使用方法

    PyInstaller可以把Python应用程序及其所有依赖项捆绑到一个包中.用户可以在不安装Python解释器或任何模块的情况下运行打包的应用程序.PyInstaller支持Python 2.7和P ...

  5. PyInstaller 打包 python程序成exe

    pychaim下PyInstaller 打包 python程序 主题是使用PyInstaller 打包python时遇到一些问题以及解决方案,其中将要打包的程序是用tensorflow做的LSTM算法 ...

  6. Pyinstaller如何将资源文件一起打包至exe中

    基本原理:Pyinstaller 可以将资源文件一起bundle到exe中,当exe在运行时,会生成一个临时文件夹,程序可通过sys._MEIPASS访问临时文件夹中的资源 官方说明:https:// ...

  7. Python Pyinstaller打包含pandas库的py文件遇到的坑

    今天的主角依然是pyinstaller打包工具,为了让pyinstaller打包后exe文件不至过大,我们的py脚本文件引用库时尽可能只引用需要的部分,不要引用整个库,多使用“from *** imp ...

  8. Pyinstaller打包附带DLL、图标和压缩EXE方法

    Pyinstaller打包附带DLL.图标和压缩EXE方法     转载: https://blog.csdn.net/xinyingzai/article/details/80282856   目的 ...

  9. pyinstaller生成exe可执行程序

    1安装 略 2执行 pyinstaller –F test.py 报错: Pyinstaller: cx_Oracle.InterfaceError: Unable to acquire Oracle ...

随机推荐

  1. Android四大组件及activity的四大启动模式

    Android四大组件 1. 广播接收者的两种类型: (1)系统广播接收者,就是继承BroadcastReceiver这个类,然后还要在清单文件中注册,注册之后给他一个action.当系统发生了这个a ...

  2. 是德科技完成对Anite的收购

    是德科技公司(NYSE:KEYS)日前宣布已经完成对Anite 的收购行动.Anite 是业界领先的无线研发软件解决方案供应商.是德科技通过支付大约6 亿美元现金将其收入麾下,旨在支持是德科技发展无线 ...

  3. myeclipse中配置maven

    1.myeclipse中已默认安装maven,首先在window-preferences-myeclipse-maven下找到maven插件,不同的版本位置可能不同,但都可以在window-prefe ...

  4. cxf client端借口类型找不到问题

    问题: log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.Exception in ...

  5. Winform窗体关闭时判断是否关闭

    在窗体的关闭事件FormClosing中进行判断,FormClosing事件每当用户关闭窗体时,在窗体已关闭并指定关闭原因前发生. private void Form1_FormClosing(obj ...

  6. SQL Server 数据库的维护(一)__存储过程(procedure)

    --维护数据库-- --存储过程(procedure)-- --概述: SQl Serve的存储过程是由一个或多个T-SQL语句组成的一个集合.常用的程序代码段通常被创建成存储过程,一次创建多次调用, ...

  7. Xamarin Android自学和实践步骤

    一.入门(已完成) 1.学习Xamarin Android项目的基本结构 2.学习界面布局的基本方式 3.学习基本编码规则 4.学习页面跳转和传值 5.学习对话框和提示信息显示方法 6.学习使用系统剪 ...

  8. SQL 查询所有表名、字段名、类型、长度、存储过程、视图

    -- 获得存储过程创建语句 select o.xtype,o.name,cm.text from syscomments cm inner join sysobjects o on o.id=cm.i ...

  9. mysql优化要点(一)

    一  sql语句中使用函数需要注意,因为有可能结果每条语句都会调用,甚至表内每条记录都会调用. 二  注意转换,会消耗大量性能,甚至字符串的encoding不同,也会出现非常大的消耗 三  myisa ...

  10. 数字信号处理--Z变换,傅里叶变换,拉普拉斯变换

    傅立叶变换.拉普拉斯变换.Z变换最全攻略 作者:时间:2015-07-19来源:网络       傅立叶变换.拉普拉斯变换.Z变换的联系?他们的本质和区别是什么?为什么要进行这些变换.研究的都是什么? ...