Python datetime.date 模块，strftime() 实例源码

def display_imgur_client_information(self):
        """Opens a dialog that tells the user how many imgur credits they have remaining"""
        if self.imgur_client[0] is not None and self.imgur_client[1] is not None:
            try:
                imgur_client = imgurpython.ImgurClient(self.imgur_client[0], self.imgur_client[1])
            except imgurpython.helpers.error.ImgurClientError:
                imgur_client = None
                Message.invalid_imgur_client(self)
        else:
            Message.no_imgur_client(self)
            imgur_client = None

        if imgur_client is not None:
            credits_dict = imgur_client.credits
            dialog_text = 'Application credit limit: %s\nApplication credits remaining: %s\n\nUser credit limit: %s' \
                          '\nUser credits remaining: %s\nTime user credits reset: %s' %\
                          (credits_dict['ClientLimit'], credits_dict['ClientRemaining'], credits_dict['UserLimit'],
                           credits_dict['UserRemaining'],
                           date.strftime(datetime.fromtimestamp(credits_dict['UserReset']), '%m-%d-%Y at %I:%M %p'))
            reply = QtWidgets.QMessageBox.information(self, 'Imgur Credits', dialog_text, QtWidgets.QMessageBox.Ok)

def date_to_str(date):
    return date.strftime('%Y-%m-%d')

def date_to_weekday(date):
    return time.strftime("%A", time.strptime(date, "%Y-%m-%d"))

def get_durations_from_waka(date, header):
    req_url = BASE_URL + date.strftime("%Y-%m-%d")
    response = requests.get(req_url, headers=header)
    return response.json()

def write_data_to_dataframe(df, start_date, end_date):
    last_df_index = len(df)
    if last_df_index > 0:
        start_date_str = df["date"].values[last_df_index - 1]
        start_date = datetime.strptime(start_date_str, "%Y-%m-%d").date()
        start_date = start_date + timedelta(days=1)
    for d in date_range(start_date, end_date):
        response_json = get_durations_from_waka(d, prepare_request_header(str.encode(API_KEY)))
        try:
            data = response_json["data"]
            data_dict = {}
            for duration_data in data:
                project_name = duration_data["project"]
                duration = duration_data["duration"]
                try:
                    data_dict[project_name] += duration
                except KeyError:
                    data_dict[project_name] = duration
            for k, v in data_dict.items():
                new_row = [d.strftime("%Y-%m-%d"), k, v]
                df.loc[last_df_index] = new_row
                last_df_index += 1
        except KeyError as keyError:
            print("[*] ERROR: for {0}, key error: {1}".format(d.strftime("%Y-%m-%d"), keyError))
            print("This means that you can't see this day's records because you've exceeded the free Waka limit")
            print("Run this script at least once in a week to get all the records!")

        print("Durations saved for: {0}".format(d.strftime("%Y-%m-%d")))

def get_durations_from_waka(date, header):
    req_url = BASE_URL + date.strftime("%Y-%m-%d")
    response = requests.get(req_url, headers=header)
    return response.json()

def write_data_to_dataframe(df, start_date, end_date):
    last_df_index = len(df)
    if last_df_index > 0:
        start_date_str = df["date"].values[last_df_index - 1]
        start_date = datetime.strptime(start_date_str, "%Y-%m-%d").date()
        start_date = start_date + timedelta(days=1)
    for d in date_range(start_date, end_date):
        response_json = get_durations_from_waka(d, prepare_request_header(str.encode(API_KEY)))
        try:
            data = response_json["data"]
            data_dict = {}
            for duration_data in data:
                project_name = duration_data["project"]
                duration = duration_data["duration"]
                try:
                    data_dict[project_name] += duration
                except KeyError:
                    data_dict[project_name] = duration
            for k, v in data_dict.items():
                new_row = [d.strftime("%Y-%m-%d"), k, v]
                df.loc[last_df_index] = new_row
                last_df_index += 1
        except KeyError as keyError:
            print("[*] ERROR: for {0}, key error: {1}".format(d.strftime("%Y-%m-%d"), keyError))
            print("This means that you can't see this day's records because you've exceeded the free Waka limit")
            print("Run this script at least once in a week to get all the records!")

        print("Durations saved for: {0}".format(d.strftime("%Y-%m-%d")))

def fmt_date(date):
    return "%s, week %d, %s" % (
        date.isoformat(),
        date.isocalendar()[1],
        date.strftime("%A, %B"))

def formatDate(date):
    return date.strftime("%m/%d/%Y")

def _datetime_to_label(date):
    return date.strftime('%Y-%m-%d')

def __str__(self):
        if not self.title_en and not self.title_el:
            return date.strftime('%x')
        else:
            if self.title_en:
                return self.title_en
            else:
                return self.title_el
        return 'no_title'

def sshot(opts=[], upload=False):
    """Call sshot and upload screenshot. Returns the image name.

    Keyword arguments:
    opts -- options to send to sshot (default [])
    upload -- boolean to decide whether to upload screenshot or not.
              (default False)
    """
    my_env = os.environ.copy()
    date=datetime.now()
    imgname = "sshot-" + date.strftime('%Y-%m-%d_%H:%M:%S') + ".png"
    command = []
    if upload:
        my_env['SSHOT_UPLOAD'] = 'true'
    else:
        my_env['SSHOT_UPLOAD'] = 'false'
    my_env['IMGNAME'] = imgname

    command = ['sshot']
    command.extend(opts)
    proc = Popen(command, stdin=PIPE, stdout=PIPE, env=my_env)
    exit_code = proc.wait()
    if exit_code == 0:
        return(imgname)
    else:
        return(False)

def getCommonDayMsg(self,date):
        weekend = [5,6]
        #?????
        dayOfWeek = date.weekday()
        #?????
        if dayOfWeek in weekend:
            content = "???",date.strftime('%b?%d?%?'),",",get_week_day(date),"?????????~"
            return (time(9, 0, 0),content)
        leftDay = 5 - dayOfWeek
        content = "???",date.strftime('%b?%d?%?'),",",get_week_day(date),"??????",leftDay,"???????~"
        return (time(7, 0, 0),content)
    #TODO

def fgm_hires(starttime, endtime):
    """
    Import high resolution fluxgate magnetometer data.

    Parameters
    ----------
    starttime : datetime
        Start of interval
    endtime : datetime
        End of interval

    Returns
    -------
    data : DataFrame
        Requested data
    """
    fgm_options = url_options
    readargs = {'names': ['year', 'doy', 'hour', 'minute', 'second',
                          'Bx', 'By', 'Bz', '|B|'],
                'delim_whitespace': True}

    data = []
    dtimes = helper._daysplitinterval(starttime, endtime)
    # Loop through years
    for dtime in dtimes:
        date = dtime[0]
        yearstr = date.strftime('%Y')
        fgm_options['FILE_NAME'] = ('U' + yearstr[-2:] +
                                    date.strftime('%j') + 'SH.ASC')
        # Local locaiton to download to
        local_dir = os.path.join(ulysses_dir, 'fgm', 'hires', yearstr)
        local_file = os.path.join(local_dir, fgm_options['FILE_NAME'])
        local_hdf = local_file[:-4] + '.hdf'
        # If we have already saved a hdf file
        if os.path.exists(local_hdf):
            thisdata = pd.read_hdf(local_hdf)
        else:
            # Put together remote url
            fgm_options['FILE_PATH'] = '/ufa/HiRes/VHM-FGM/' + yearstr
            remote_url = ulysses_url
            for key in fgm_options:
                remote_url += key + '=' + fgm_options[key] + '&'
            f = helper.load(fgm_options['FILE_NAME'], local_dir, remote_url)

            # Read in data
            thisdata = pd.read_table(f, **readargs)
            # Process data/time
            thisdata = _convert_ulysses_time(thisdata)
            if use_hdf:
                thisdata.to_hdf(local_hdf, 'fgm_hires')
        data.append(thisdata)
    return helper.timefilter(data, starttime, endtime)

def get_chart_and_text(event):
    cache = event.get_cache()
    cache_key = get_cache_key(event)
    chart_data = cache.get(cache_key)
    if chart_data:
        return chart_data

    result = {}
    include_pending = event.settings.stretchgoals_include_pending or False
    avg_chart = event.settings.stretchgoals_chart_averages or False
    total_chart = event.settings.stretchgoals_chart_totals or False
    event.settings._h.add_type(
        QuerySet,
        lambda queryset: ','.join([str(element.pk) for element in queryset]),
        lambda pk_list: [Item.objects.get(pk=element) for element in pk_list.split(',') if element]
    )
    items = event.settings.get('stretchgoals_items', as_type=QuerySet) or []

    start_date = get_start_date(event, items, include_pending)
    end_date = get_end_date(event, items, include_pending)
    goals = get_goals(event)
    data = {
        'avg_data': {
            'data': [{
                'date': date.strftime('%Y-%m-%d'),
                'price': get_average_price(event, start_date, date, items, include_pending) or 0,
            } for date in get_date_range(start_date, end_date)] if avg_chart else None,
            'target': [goal.get('avg', 0) for goal in goals],
            'label': 'avg',
        },
        'total_data': {
            'data': [{
                'date': date.strftime('%Y-%m-%d'),
                'price': get_total_price(event, start_date, date, items, include_pending) or 0,
            } for date in get_date_range(start_date, end_date)] if total_chart else None,
            'target': [goal['total'] for goal in goals],
            'label': 'total',
        },
    }
    result['data'] = {key: json.dumps(value, cls=ChartJSONEncoder) for key, value in data.items()}
    try:
        result['avg_now'] = data['avg_data']['data'][-1]['price']
        result['total_now'] = data['total_data']['data'][-1]['price']
    except (TypeError, IndexError):  # no data, data[-1] does not exist
        result['avg_now'] = 0
        result['total_now'] = 0

    for goal in goals:
        goal['avg_required'] = get_required_average_price(event, items, include_pending, goal['total'], goal['amount'], result['total_now'])
        goal['total_left'] = goal['total'] - result['total_now']

    result['goals'] = goals
    result['significant'] = (
        not event.settings.stretchgoals_min_orders
        or get_base_queryset(event, items, include_pending).count() >= event.settings.get('stretchgoals_min_orders', as_type=int)
    )
    result['public_text'] = get_public_text(event, items, include_pending, data=result)
    cache.set(cache_key, result, timeout=3600)
    return result