在zcml中声明配置文件的函数
collective.profiler的Python项目详细描述
简介
collective.profiler是一个帮助开发人员分析代码性能的工具。 它通过zcml声明修补代码。 它在内部使用非常好的profilehooks包。collective.profiler只是此工具的一个接口
有两个指令：
- timecall->；通过调用提供秒数
示例
<configure
xmlns="http://namespaces.zope.org/zope"
xmlns:profiler="http://namespaces.plone.org/profiler"
xmlns:five="http://namespaces.zope.org/five"
xmlns:i18n="http://namespaces.zope.org/i18n">
<profiler:timecall
class="Products.CMFPlone.ActionsTool.ActionsTool"
method="listFilteredActionsFor"
/>
</configure>
提供有关方法的listfilteredactions调用的一些信息
当您在fg中启动zopeinstance时，您可以在启动后看到它
listFilteredActionsFor (.../eggs/Plone-3.3.5-py2.4.egg/Products/CMFPlone/ActionsTool.py:94): 1 calls, 0.238 seconds (0.238 seconds per call)
- profile->；打印分析结果
示例
<configure
xmlns="http://namespaces.zope.org/zope"
xmlns:profiler="http://namespaces.plone.org/profiler"
xmlns:five="http://namespaces.zope.org/five"
xmlns:i18n="http://namespaces.zope.org/i18n">
<profiler:profile
class="Products.CMFPlone.ActionsTool.ActionsTool"
method="listFilteredActionsFor"
/>
</configure>
当您在fg中启动zopeinstance时，您可以在启动后看到它
*** PROFILER RESULTS ***
listFilteredActionsFor (/Users/yboussard/.virtualenvs/dpldt/buildout/eggs/Plone-3.3.5-py2.4.egg/Products/CMFPlone/ActionsTool.py:94)
function called 1 times
228731 function calls (211122 primitive calls) in 1.730 CPU seconds
Ordered by: cumulative time, internal time, call count
List reduced from 871 to 40 due to restriction <40>
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 1.730 1.730 profile:0(<unbound method ActionsTool.listFilteredActionsFor>)
1 0.000 0.000 1.729 1.729 ActionsTool.py:94(listFilteredActionsFor)
1 0.001 0.001 1.676 1.676 ActionsTool.py:44(listActionInfos)
195/167 0.002 0.000 1.622 0.010 ActionInformation.py:197(__getitem__)
18 0.001 0.000 1.612 0.090 Expression.py:40(__call__)
6 0.000 0.000 1.221 0.204 ProfilerPatch.py:19(__patched_call__)
6 0.000 0.000 1.221 0.203 expressions.py:214(__call__)
6 0.000 0.000 1.221 0.203 Expressions.py:144(_eval)
6 0.000 0.000 1.086 0.181 Expressions.py:108(render)
33 0.000 0.000 0.868 0.026 RCompile.py:68(compileAndTuplize)
33 0.001 0.000 0.867 0.026 RCompile.py:62(compile)
10 0.000 0.000 0.767 0.077 FSObject.py:168(_updateFromFS)
7 0.000 0.000 0.766 0.109 FSPythonScript.py:117(_readFile)
7 0.000 0.000 0.765 0.109 FSPythonScript.py:255(_write)
21 0.000 0.000 0.752 0.036 PythonScript.py:275(_makeFunction)
21 0.001 0.000 0.751 0.036 PythonScript.py:232(_compile)
21 0.000 0.000 0.746 0.036 PythonScript.py:229(_compiler)
21 0.000 0.000 0.746 0.036 RCompile.py:75(compile_restricted_function)
8/3 0.000 0.000 0.693 0.231 FSPythonScript.py:137(__call__)
10/4 0.000 0.000 0.611 0.153 Bindings.py:331(_bindAndExec)
10/4 0.001 0.000 0.608 0.152 FSPythonScript.py:144(_exec)
1 0.000 0.000 0.568 0.568 flashupload.py:65(can_upload)
1 0.000 0.000 0.560 0.560 flashupload.py:62(allowed_types)
8/3 0.000 0.000 0.545 0.182 Bindings.py:311(__call__)
2 0.000 0.000 0.515 0.258 ZRPythonExpr.py:66(call_with_ns)
2 0.000 0.000 0.511 0.255 FSPythonScript.py:132(__render_with_namespace__)
1 0.000 0.000 0.469 0.469 Script (Python):1(getAllowedTypes)
319 0.003 0.000 0.396 0.001 Connection.py:749(setstate)
319 0.009 0.000 0.393 0.001 Connection.py:769(_setstate)
7 0.003 0.000 0.345 0.049 PythonScript.py:395(write)
33 0.001 0.000 0.338 0.010 RCompile.py:53(_get_tree)
319 0.005 0.000 0.321 0.001 serialize.py:603(setGhostState)
319 0.005 0.000 0.314 0.001 serialize.py:593(getState)
1289/638 0.023 0.000 0.301 0.000 :0(load)
208/108 0.002 0.000 0.280 0.003 visitor.py:101(walk)
208/108 0.002 0.000 0.278 0.003 visitor.py:59(preorder)
3858/108 0.049 0.000 0.277 0.003 visitor.py:42(dispatch)
56/33 0.000 0.000 0.276 0.008 pycodegen.py:241(getCode)
56/33 0.002 0.000 0.276 0.008 pyassem.py:365(getCode)
1 0.000 0.000 0.272 0.272 constraintypes.py:243(allowedContentTypes)
选项
计时呼叫
- immediate : If you want just a summary at program termination, use False
剖面图
skip : If skip is > 0, first skip calls to fn will not be profiled.
filename : If filename is specified, the profile stats will be stored in the named file. You can analyse it with profiler tool or pstats.Stats(filename).
- If immediate is False, profiling results will be printed to
sys.stdout on program termination.
- If dirs is False only the name of the file will be printed.
Otherwise the full path is used.
- sort can be a list of sort keys (defaulting to [‘cumulative’,
‘time’, ‘calls’]). The following ones are recognized:
'calls' -- call count 'cumulative' -- cumulative time 'file' -- file name 'line' -- line number 'module' -- file name 'name' -- function name 'nfl' -- name/file/line 'pcalls' -- call count 'stdname' -- standard name 'time' -- internal timeentries limits the output to the first N entries.
更改日志
0.3（2011-05-12）
- 什么都没变。
0.2（2011-05-12）
- 在setup.py中添加一些信息
0.1（2011-05-12）
- 初始版本
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