src/python/m5/stats/__init__.py

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# Copyright (c) 2007 The Regents of The University of Michigan
# Copyright (c) 2010 The Hewlett-Packard Development Company
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# Authors: Nathan Binkert
#          Andreas Sandberg

import m5

import _m5.stats
from m5.objects import Root
from m5.util import attrdict, fatal

# Stat exports
from _m5.stats import schedStatEvent as schedEvent
from _m5.stats import periodicStatDump

outputList = []

def _url_factory(func):
    """Wrap a plain Python function with URL parsing helpers

    Wrap a plain Python function f(fn, **kwargs) to expect a URL that
    has been split using urlparse.urlsplit. First positional argument
    is assumed to be a filename, this is created as the concatenation
    of the netloc (~hostname) and path in the parsed URL. Keyword
    arguments are derived from the query values in the URL.

    For example:
        wrapped_f(urlparse.urlsplit("text://stats.txt?desc=False")) ->
        f("stats.txt", desc=False)

    """

    from functools import wraps

    @wraps(func)
    def wrapper(url):
        from urlparse import parse_qs
        from ast import literal_eval

        qs = parse_qs(url.query, keep_blank_values=True)

        # parse_qs returns a list of values for each parameter. Only
        # use the last value since kwargs don't allow multiple values
        # per parameter. Use literal_eval to transform string param
        # values into proper Python types.
        def parse_value(key, values):
            if len(values) == 0 or (len(values) == 1 and not values[0]):
                fatal("%s: '%s' doesn't have a value." % (url.geturl(), key))
            elif len(values) > 1:
                fatal("%s: '%s' has multiple values." % (url.geturl(), key))
            else:
                try:
                    return key, literal_eval(values[0])
                except ValueError:
                    fatal("%s: %s isn't a valid Python literal" \
                          % (url.geturl(), values[0]))

        kwargs = dict([ parse_value(k, v) for k, v in qs.items() ])

        try:
            return func("%s%s" % (url.netloc, url.path), **kwargs)
        except TypeError:
            fatal("Illegal stat visitor parameter specified")

    return wrapper

@_url_factory
def _textFactory(fn, desc=True):
    """Output stats in text format.

    Text stat files contain one stat per line with an optional
    description. The description is enabled by default, but can be
    disabled by setting the desc parameter to False.

    Example: text://stats.txt?desc=False

    """

    return _m5.stats.initText(fn, desc)

factories = {
    # Default to the text factory if we're given a naked path
    "" : _textFactory,
    "file" : _textFactory,
    "text" : _textFactory,
}

def addStatVisitor(url):
    """Add a stat visitor specified using a URL string

    Stat visitors are specified using URLs on the following format:
    format://path[?param=value[;param=value]]

    The available formats are listed in the factories list. Factories
    are called with the path as the first positional parameter and the
    parameters are keyword arguments. Parameter values must be valid
    Python literals.

    """

    from urlparse import urlsplit

    parsed = urlsplit(url)

    try:
        factory = factories[parsed.scheme]
    except KeyError:
        fatal("Illegal stat file type specified.")

    outputList.append(factory(parsed))

def initSimStats():
    _m5.stats.initSimStats()
    _m5.stats.registerPythonStatsHandlers()

names = []
stats_dict = {}
stats_list = []
def enable():
    '''Enable the statistics package.  Before the statistics package is
    enabled, all statistics must be created and initialized and once
    the package is enabled, no more statistics can be created.'''

    global stats_list
    stats_list = list(_m5.stats.statsList())

    for stat in stats_list:
        if not stat.check() or not stat.baseCheck():
            fatal("statistic '%s' (%d) was not properly initialized " \
                  "by a regStats() function\n", stat.name, stat.id)

        if not (stat.flags & flags.display):
            stat.name = "__Stat%06d" % stat.id

    def less(stat1, stat2):
        v1 = stat1.name.split('.')
        v2 = stat2.name.split('.')
        return v1 < v2

    stats_list.sort(less)
    for stat in stats_list:
        stats_dict[stat.name] = stat
        stat.enable()

    _m5.stats.enable();

def prepare():
    '''Prepare all stats for data access.  This must be done before
    dumping and serialization.'''

    for stat in stats_list:
        stat.prepare()

lastDump = 0
def dump():
    '''Dump all statistics data to the registered outputs'''

    curTick = m5.curTick()

    global lastDump
    assert lastDump <= curTick
    if lastDump == curTick:
        return
    lastDump = curTick

    _m5.stats.processDumpQueue()

    prepare()

    for output in outputList:
        if output.valid():
            output.begin()
            for stat in stats_list:
                stat.visit(output)
            output.end()

def reset():
    '''Reset all statistics to the base state'''

    # call reset stats on all SimObjects
    root = Root.getInstance()
    if root:
        for obj in root.descendants(): obj.resetStats()

    # call any other registered stats reset callbacks
    for stat in stats_list:
        stat.reset()

    _m5.stats.processResetQueue()

flags = attrdict({
    'none'    : 0x0000,
    'init'    : 0x0001,
    'display' : 0x0002,
    'total'   : 0x0010,
    'pdf'     : 0x0020,
    'cdf'     : 0x0040,
    'dist'    : 0x0080,
    'nozero'  : 0x0100,
    'nonan'   : 0x0200,
})