python类strptime()的实例源码

def from_frontend_value(key, value):
    """Returns a `SiteConfiguration` object value for the relevant `key` and
    JSON-serializable `value`, applying any transformation reversed by to_frontend_value."""
    if key == NICETIES_OPEN:
        from datetime import timedelta
        return timedelta(days=value)
    elif key == CLOSING_TIME:
        from datetime import datetime
        return datetime.strptime(value, '%H:%M').time()
    elif key == CLOSING_BUFFER:
        from datetime import timedelta
        return timedelta(minutes=value)
    elif key == CACHE_TIMEOUT:
        from datetime import timedelta
        return timedelta(seconds=value)
    elif key == INCLUDE_FACULTY:
        return value
    elif key == INCLUDE_RESIDENTS:
        return value
    else:
        raise ValueError('No such config key!')

def test(self):
        cx = self.Symbol_Db['equity'].find()
        symbolSet = set([d['code'] for d in cx])
        for code in symbolSet:
            start = self.Symbol_Db['equity'].find({"code" : code})[0]['timeToMarket']
            try:
                start = datetime.datetime.strptime(str(start), '%Y%m%d')
            except :
                print code

            start = start.strftime("%Y-%m-%d")
            print start
        return 


    #----------------------------------------------------------------------

def test_NaT_methods(self):
        # GH 9513
        raise_methods = ['astimezone', 'combine', 'ctime', 'dst',
                         'fromordinal', 'fromtimestamp', 'isocalendar',
                         'strftime', 'strptime', 'time', 'timestamp',
                         'timetuple', 'timetz', 'toordinal', 'tzname',
                         'utcfromtimestamp', 'utcnow', 'utcoffset',
                         'utctimetuple']
        nat_methods = ['date', 'now', 'replace', 'to_datetime', 'today']
        nan_methods = ['weekday', 'isoweekday']

        for method in raise_methods:
            if hasattr(NaT, method):
                self.assertRaises(ValueError, getattr(NaT, method))

        for method in nan_methods:
            if hasattr(NaT, method):
                self.assertTrue(np.isnan(getattr(NaT, method)()))

        for method in nat_methods:
            if hasattr(NaT, method):
                self.assertIs(getattr(NaT, method)(), NaT)

        # GH 12300
        self.assertEqual(NaT.isoformat(), 'NaT')

def testTimestampValue(self):
    """Checks whether the timestamp attribute in the XML output is valid.

    Runs a test program that generates an empty XML output, and checks if
    the timestamp attribute in the testsuites tag is valid.
    """
    actual = self._GetXmlOutput('gtest_no_test_unittest', [], 0)
    date_time_str = actual.documentElement.getAttributeNode('timestamp').value
    # datetime.strptime() is only available in Python 2.5+ so we have to
    # parse the expected datetime manually.
    match = re.match(r'(\d+)-(\d\d)-(\d\d)T(\d\d):(\d\d):(\d\d)', date_time_str)
    self.assertTrue(
        re.match,
        'XML datettime string %s has incorrect format' % date_time_str)
    date_time_from_xml = datetime.datetime(
        year=int(match.group(1)), month=int(match.group(2)),
        day=int(match.group(3)), hour=int(match.group(4)),
        minute=int(match.group(5)), second=int(match.group(6)))

    time_delta = abs(datetime.datetime.now() - date_time_from_xml)
    # timestamp value should be near the current local time
    self.assertTrue(time_delta < datetime.timedelta(seconds=600),
                    'time_delta is %s' % time_delta)
    actual.unlink()

def test_rapideye_sensor(self):
        '''
        Test an instance of the rapideye sensor class to check if it parses its
        attributes correctly.
        '''
        import madmex.mapper.sensor.rapideye as rapideye
        import datetime
        path = '/LUSTRE/MADMEX/eodata/rapideye/1447720/2013/2013-02-11/l3a/1447720_2013-02-11_RE3_3A_182802_metadata.xml'
        sensor = rapideye.Sensor(path)
        self.assertEqual(sensor.get_attribute(rapideye.ANGLE), 3.96)
        self.assertEqual(sensor.get_attribute(rapideye.PRODUCT_NAME), 'L3A')
        self.assertEqual(sensor.get_attribute(rapideye.SENSOR), 'OPTICAL')
        self.assertEqual(sensor.get_attribute(rapideye.PLATFORM), 'RE-3')
        self.assertEqual(sensor.get_attribute(rapideye.CREATION_DATE), '2013-04-26T17:48:34Z')
        self.assertEqual(sensor.get_attribute(rapideye.ACQUISITION_DATE), datetime.datetime.strptime('2013-02-11T18:04:21.337522Z', "%Y-%m-%dT%H:%M:%S.%fZ"))
        self.assertEqual(sensor.get_attribute(rapideye.CLOUDS), 0.0)
        self.assertEqual(sensor.get_attribute(rapideye.AZIMUTH_ANGLE), 278.21)
        self.assertEqual(sensor.get_attribute(rapideye.SOLAR_AZIMUTH), 162.0359)
        self.assertEqual(sensor.get_attribute(rapideye.SOLAR_ZENITH), 56.02738)
        self.assertEqual(sensor.get_attribute(rapideye.TILE_ID), 1447720)

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                 "- value is not a string." %
                                 (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                 "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(list(zip(
                    iter(groups.keys()),
                    list(map(int, iter(groups.values())))
                ))))
            else:
                return type_(*list(map(int, m.groups(0))))
    return process

def datetime_to_ms(dt):
    """
    Convert an unaware datetime object to milliseconds. This will
    be a UTC time. The SMC stores all times in UTC and will do the
    time conversions based on the local timezone.
    Example of converting a datetime to milliseconds::

        utc_time = datetime.strptime("2018-06-04T00:00:00", "%Y-%m-%dT%H:%M:%S")
        datetime_to_ms(utc_time)

    :param dt datetime: pass in python datetime object.
    :return: value representing the datetime in milliseconds
    :rtype: int
    """
    return int(time.mktime(dt.timetuple()) * 1000)

def verifyForcedDates(fdates):
    from datetime import datetime
    import re
    force_dates = [];
    for fdate in fdates:
        if (re.match(r"\d+-\d+-\d+", fdate) and
            datetime.strptime(fdate, '%Y-%m-%d').strftime('%Y-%m-%d') == fdate):
            force_dates.append(fdate);
    return force_dates

def dayStringAdd(anaday, days = 0, weeks = 0):
    from datetime import datetime, timedelta
    return (datetime.strptime(anaday, '%Y-%m-%d') + timedelta(days=days, weeks=weeks)).strftime('%Y-%m-%d')

def dayStringBeforeDelta(anaday, tdelta):
    from datetime import datetime
    return (datetime.strptime(anaday, '%Y-%m-%d') - tdelta).strftime('%Y-%m-%d')

def date(argument):
    formats = ('%Y/%m/%d', '%Y-%m-%d')
    for fmt in formats:
        try:
            return datetime.strptime(argument, fmt)
        except ValueError:
            continue
    raise commands.BadArgument('Cannot convert to date. Expected YYYY/MM/DD or YYYY-MM-DD.')

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                 "- value is not a string." %
                                 (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                 "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(list(zip(
                    iter(groups.keys()),
                    list(map(int, iter(groups.values())))
                ))))
            else:
                return type_(*list(map(int, m.groups(0))))
    return process

def get_range_min_tick_data(self, code, start=None, end=None, ktype=1):
        start = str(fc.get_stock_timeToMarket(code)) if start is None else start
        end = str(datetime.datetime.today().date()) if end is None else end

        startD = datetime.datetime.strptime(start, '%Y-%m-%d')
        endD = datetime.datetime.strptime(end, '%Y-%m-%d')

        delta = datetime.timedelta(days=1)
        inDate = endD - delta

        while inDate >= startD:
            self.parse(code, inDate.strftime("%Y-%m-%d"), ktype)
            inDate -= delta

def downloadEquityAllData(self, code):
        start = self.Symbol_Db['equity'].find({"code" : code})[0]['timeToMarket']
        try:
            start = datetime.datetime.strptime(str(start), '%Y%m%d')
        except:
            return
        start = start.strftime("%Y-%m-%d")

        self.get_range_daily_data(code, start) #default????
        self.get_range_min_tick_data(code, start)
        # ??index?????????
        self.Tick_Db[code].ensure_index([('date', pymongo.DESCENDING)])
        self.OneMin_Db[code].ensure_index([('date', pymongo.DESCENDING)])

def updateEquityAllData(self, code):
        # find the latest timestamp in collection.
        latest = self.Daily_Db[code].find_one(sort=[('date', pymongo.DESCENDING)])['date']
        latest = datetime.datetime.strptime(str(latest), '%Y-%m-%d')
        start = datetime.datetime.strftime(latest + timedelta(days=1), '%Y-%m-%d')

        self.get_range_daily_data(code, start) #default????
        self.get_range_min_tick_data(code, start)

def loadMcCsv(self, fileName, dbName, symbol):
        """?Multicharts???csv??????????Mongo????"""
        import csv

        start = time()
        print u'????CSV??%s???????%s?%s?' %(fileName, dbName, symbol)

        # ??????????
        host, port = loadMongoSetting()

        client = pymongo.MongoClient(host, port)    
        collection = client[dbName][symbol]
        collection.ensure_index([('datetime', pymongo.ASCENDING)], unique=True)   

        # ???????????
        reader = csv.DictReader(file(fileName, 'r'))
        for d in reader:
            bar = CtaBarData()
            bar.vtSymbol = symbol
            bar.symbol = symbol
            bar.open = float(d['Open'])
            bar.high = float(d['High'])
            bar.low = float(d['Low'])
            bar.close = float(d['Close'])
            bar.date = datetime.strptime(d['Date'], '%Y/%m/%d').strftime('%Y%m%d')
            bar.time = d['Time']
            bar.datetime = datetime.strptime(bar.date + ' ' + bar.time, '%Y%m%d %H:%M:%S')
            bar.volume = d['TotalVolume']

            flt = {'datetime': bar.datetime}
            collection.update_one(flt, {'$set':bar.__dict__}, upsert=True)  
            print bar.date, bar.time

        print u'????????%s' % (time()-start)

def GetTabularDate(newFolder):
    # Get string for SAVEREST date from tabular/sacatlog.txt file
    # Use it to compare with the date from the WSS dataset
    # If the existing database is same or newer, it will be kept and the WSS version skipped
    # The original string looks like this: 12/05/2013 23:44:00
    #
    # Return YYYYMMDD as integer

    try:
        tabDate = 0

        # Try finding the text file in the tabular folder and reading SAVEREST from that file.
        saCatalog = os.path.join(newFolder, r"tabular\sacatlog.txt")

        if arcpy.Exists(saCatalog):
            fh = open(saCatalog, "r")
            rec = fh.readline()
            fh.close()
            # Example date (which is index 3 in pipe-delimited file):  9/23/2014 6:49:27
            vals = rec.split("|")
            recDate = vals[3]
            wssDate = "%m/%d/%Y %H:%M:%S"  # string date format used for SAVEREST in text file
            intDate = "%Y%m%d"             # YYYYMMDD format for comparison
            dateObj = datetime.strptime(recDate, wssDate)
            tabDate = int(dateObj.strftime(intDate))

        else:
            AddMsgAndPrint(" \nUnable to find file: " + saCatalog, 1)

        return tabDate

    except:
        errorMsg()
        return tabDate

## ===================================================================================

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                 "- value is not a string." %
                                 (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                 "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(list(zip(
                    iter(groups.keys()),
                    list(map(int, iter(groups.values())))
                ))))
            else:
                return type_(*list(map(int, m.groups(0))))
    return process

def plot_by_all( data ):
    x_vals = list()
    y_vals = list()
    for k in sorted(data):
        x_vals.append( datetime.datetime.strptime(k, key_pattern) )
        y_vals.append(data[k])

    x_vals2 = matplotlib.dates.date2num(x_vals)

    plt.clf()
    #plt.plot_date(x_vals2, y_vals)
    plt.plot(x_vals2, y_vals)
    plt.show()

def plot_by_interval(data, zamg_dfs = None):
    p_vals = {}
    # sort by year
    for k in sorted(data):
        v = data[k]
        d_obj = datetime.datetime.strptime(k, key_pattern)

        series_key = datetime.datetime.strftime(d_obj, "%Y")
        #data_key = datetime.datetime.strftime(d_obj, "%m-%d")

        p_vals.setdefault(series_key, dict()).setdefault("x_vals", list()).append(d_obj)
        p_vals.setdefault(series_key, dict()).setdefault("y_vals", list()).append(v)

    plt.clf()

    fig, axis = plt.subplots(nrows=len(p_vals)*2, sharex=False, sharey=False)

    a_iter = iter(axis)

    for k in sorted(p_vals):
        v = p_vals[k]
        ax = next(a_iter)

        y_vals = v["y_vals"]
        x_vals = matplotlib.dates.date2num(v["x_vals"])
        ax.plot_date(x_vals, y_vals)
        # ax.plot(x_vals, y_vals)

        ax = next(a_iter)
        if zamg_dfs is not None and k in zamg_dfs:
            df = zamg_dfs[k]
            df['Wien Hohe Warte']['48,2486']['16,3564']['198.0']['Anhöhe']['Ebene']\
                ['Lufttemperatur']['Lufttemperatur um 14 MEZ (°C)'].plot(ax=ax)

    plt.show()

def reformat_dateteime( in_date, in_pattern, out_pattern ):
    d = datetime.datetime.strptime(in_date, in_pattern)
    return datetime.datetime.strftime(d, out_pattern)

def check_product(product):
    """
    Checks a product for currency.

    :param product: Product dictionary
    :type product: dict
    """
    global PROD_OK, PROD_WARN, PROD_CRIT

    #check if product unsynced
    if product["last_sync"] == None:
        LOGGER.debug("Product '{0}' ({1}) is UNSYNCED!".format(
            product["label"], product["description"]
        ))
        PROD_CRIT.append(product["label"])
        set_code(2)
    else:
        LOGGER.debug("Product '{0}' ({1}) was synced at {2}".format(
            product["label"], product["description"], product["last_sync"][0:19]
        ))
        last_sync = datetime.strptime(
            product["last_sync"][0:19], "%Y-%m-%d %H:%M:%S"
        )
        delta = datetime.now() - last_sync
        LOGGER.debug("Delta for '{0}' is {1} days".format(
            product["label"], delta.days
        ))
        if delta.days > options.outdated_crit:
            PROD_CRIT.append(product["label"])
            set_code(2)
            LOGGER.debug("Critical product: '{0}'".format(product["label"]))
        if delta.days > options.outdated_warn:
            PROD_WARN.append(product["label"])
            set_code(1)
            LOGGER.debug("Warning product: '{0}'".format(product["label"]))
        else:
            PROD_OK.append(product["label"])
            LOGGER.debug("Ok product: '{0}'".format(product["label"]))

def valid_date(input_date):
    """Validate input dates against a certain format.

    :param str input_date: Date value to check
    :return: Loaded date value
    """
    try:
        return datetime.strptime(input_date, "%Y-%m-%d")
    except ValueError:
        msg = "Not a valid date: '{0}'.".format(input_date)
        raise argparse.ArgumentTypeError(msg)

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                 "- value is not a string." %
                                 (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                 "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(list(zip(
                    iter(groups.keys()),
                    list(map(int, iter(groups.values())))
                ))))
            else:
                return type_(*list(map(int, m.groups(0))))
    return process

def get_new_set_time(seconds_added = 60):
    """
    -Helper function used in order to create
    an assignment that will be due very soon (late assignmnet)

    -Should be a very easy process for most cases, but deals with all the
    difficulties for you
    -The new time computed is calculated from the local time

    Uses datetime.datetime

    :param seconds_added: number of seconds from
    now that you want the due date of the assignment to be
    :return:
    string of format HHMMpm/am which you can enter directly into the due time
    textbox in order to set the due time
    """
    # get current time and time at which to make it due
    time_now = datetime.now()
    time_now = time_now + timedelta(seconds=seconds_added)
    time_string = str(time_now.hour) + str(time_now.minute)

    time_structure = datetime.strptime(time_string,"%H%M")
    # time_structure is a datetime.datetime object

    time_string_reform = time_structure.strftime("%I%M%p")
    # ^ set_time comes in format "HH MM am/pm"

    return time_string_reform


################

def _originally_available_at(self):
        return datetime.strptime(self.data.get('originallyAvailableAt',
                                               '0000-00-00'),
                                 '%Y-%m-%d').date()

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                 "- value is not a string." %
                                 (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                 "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(list(zip(
                    iter(groups.keys()),
                    list(map(int, iter(groups.values())))
                ))))
            else:
                return type_(*list(map(int, m.groups(0))))
    return process

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                 "- value is not a string." %
                                 (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                 "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(list(zip(
                    iter(groups.keys()),
                    list(map(int, iter(groups.values())))
                ))))
            else:
                return type_(*list(map(int, m.groups(0))))
    return process

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                "- value is not a string." %
                                (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(zip(groups.iterkeys(),
                                        map(int, groups.itervalues()))))
            else:
                return type_(*map(int, m.groups(0)))
    return process

def str_to_datetime_processor_factory(regexp, type_):
    rmatch = regexp.match
    # Even on python2.6 datetime.strptime is both slower than this code
    # and it does not support microseconds.
    has_named_groups = bool(regexp.groupindex)

    def process(value):
        if value is None:
            return None
        else:
            try:
                m = rmatch(value)
            except TypeError:
                raise ValueError("Couldn't parse %s string '%r' "
                                 "- value is not a string." %
                                 (type_.__name__, value))
            if m is None:
                raise ValueError("Couldn't parse %s string: "
                                 "'%s'" % (type_.__name__, value))
            if has_named_groups:
                groups = m.groupdict(0)
                return type_(**dict(list(zip(
                    iter(groups.keys()),
                    list(map(int, iter(groups.values())))
                ))))
            else:
                return type_(*list(map(int, m.groups(0))))
    return process