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authorEgor Tensin <Egor.Tensin@gmail.com>2016-06-19 03:08:55 +0300
committerEgor Tensin <Egor.Tensin@gmail.com>2016-06-19 03:08:55 +0300
commit0eabb81f4a8664970ce11405fe3418cbcc1b1672 (patch)
treeba594a07945bd8d34d8147716917f86ade1db6ea /bin/online_duration.py
parentbugfix (diff)
downloadvk-scripts-0eabb81f4a8664970ce11405fe3418cbcc1b1672.tar.gz
vk-scripts-0eabb81f4a8664970ce11405fe3418cbcc1b1672.zip
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Diffstat (limited to 'bin/online_duration.py')
-rw-r--r--bin/online_duration.py370
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diff --git a/bin/online_duration.py b/bin/online_duration.py
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+# Copyright 2016 Egor Tensin <Egor.Tensin@gmail.com>
+# This file is licensed under the terms of the MIT License.
+# See LICENSE.txt for details.
+
+import csv
+from collections import OrderedDict
+from datetime import datetime, timedelta, timezone
+from enum import Enum
+import json
+import sys
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from vk.tracking import OnlineStreakEnumerator, Weekday
+from vk.tracking.db import Format as DatabaseFormat
+from vk.user import UserField
+
+class Grouping(Enum):
+ USER = 'user'
+ DATE = 'date'
+ WEEKDAY = 'weekday'
+ HOUR = 'hour'
+
+ def enum_durations(self, db_reader, date_from=None, date_to=None):
+ if self is Grouping.USER:
+ return OnlineStreakEnumerator(date_from, date_to).group_by_user(db_reader)
+ elif self is Grouping.DATE:
+ return OnlineStreakEnumerator(date_from, date_to).group_by_date(db_reader)
+ elif self is Grouping.WEEKDAY:
+ return OnlineStreakEnumerator(date_from, date_to).group_by_weekday(db_reader)
+ elif self is Grouping.HOUR:
+ return OnlineStreakEnumerator(date_from, date_to).group_by_hour(db_reader)
+ else:
+ raise NotImplementedError('unsupported grouping: ' + str(self))
+
+ def __str__(self):
+ return self.value
+
+_USER_FIELDS = (
+ UserField.UID,
+ UserField.FIRST_NAME,
+ UserField.LAST_NAME,
+ UserField.SCREEN_NAME,
+)
+
+class OutputWriterCSV:
+ def __init__(self, fd=sys.stdout):
+ self._writer = csv.writer(fd, lineterminator='\n')
+
+ def _user_to_row(user):
+ return [user[field] for field in _USER_FIELDS]
+
+ def _date_to_row(date):
+ return [str(date)]
+
+ def _weekday_to_row(weekday):
+ return [str(weekday)]
+
+ def _hour_to_row(hour):
+ return [str(timedelta(hours=hour))]
+
+ _CONVERT_KEY_TO_ROW = {
+ Grouping.USER: _user_to_row,
+ Grouping.DATE: _date_to_row,
+ Grouping.WEEKDAY: _weekday_to_row,
+ Grouping.HOUR: _hour_to_row,
+ }
+
+ @staticmethod
+ def _key_to_row(grouping, key):
+ if grouping not in OutputWriterCSV._CONVERT_KEY_TO_ROW:
+ raise NotImplementedError('unsupported grouping: ' + str(grouping))
+ return OutputWriterCSV._CONVERT_KEY_TO_ROW[grouping](key)
+
+ def process_database(self, grouping, db_reader, date_from=None, date_to=None):
+ for key, duration in grouping.enum_durations(db_reader, date_from, date_to).items():
+ row = self._key_to_row(grouping, key)
+ row.append(str(duration))
+ self._write_row(row)
+
+ def _write_row(self, row):
+ self._writer.writerow(row)
+
+_DATE_FIELD = 'date'
+_WEEKDAY_FIELD = 'weekday'
+_HOUR_FIELD = 'hour'
+
+class OutputWriterJSON:
+ def __init__(self, fd=sys.stdout):
+ self._fd = fd
+
+ def _user_to_object(user):
+ obj = OrderedDict()
+ for field in _USER_FIELDS:
+ obj[str(field)] = user[field]
+ return obj
+
+ def _date_to_object(date):
+ obj = OrderedDict()
+ obj[_DATE_FIELD] = str(date)
+ return obj
+
+ def _weekday_to_object(weekday):
+ obj = OrderedDict()
+ obj[_WEEKDAY_FIELD] = str(weekday)
+ return obj
+
+ def _hour_to_object(hour):
+ obj = OrderedDict()
+ obj[_HOUR_FIELD] = str(timedelta(hours=hour))
+ return obj
+
+ _DURATION_FIELD = 'duration'
+
+ _CONVERT_KEY_TO_OBJECT = {
+ Grouping.USER: _user_to_object,
+ Grouping.DATE: _date_to_object,
+ Grouping.WEEKDAY: _weekday_to_object,
+ Grouping.HOUR: _hour_to_object,
+ }
+
+ @staticmethod
+ def _key_to_object(grouping, key):
+ if not grouping in OutputWriterJSON._CONVERT_KEY_TO_OBJECT:
+ raise NotImplementedError('unsupported grouping: ' + str(grouping))
+ return OutputWriterJSON._CONVERT_KEY_TO_OBJECT[grouping](key)
+
+ def process_database(self, grouping, db_reader, date_from=None, date_to=None):
+ arr = []
+ for key, duration in grouping.enum_durations(db_reader, date_from, date_to).items():
+ obj = self._key_to_object(grouping, key)
+ obj[self._DURATION_FIELD] = str(duration)
+ arr.append(obj)
+ self._fd.write(json.dumps(arr, indent=3))
+
+class BarChartBuilder:
+ _BAR_HEIGHT = 1.
+
+ def __init__(self):
+ self._fig, self._ax = plt.subplots()
+
+ def set_title(self, title):
+ self._ax.set_title(title)
+
+ def _get_bar_axis(self):
+ return self._ax.get_yaxis()
+
+ def _get_value_axis(self):
+ return self._ax.get_xaxis()
+
+ def set_bar_axis_limits(self, start=None, end=None):
+ self._ax.set_ylim(bottom=start, top=end)
+
+ def set_value_axis_limits(self, start=None, end=None):
+ self._ax.set_xlim(left=start, right=end)
+
+ def set_value_grid(self):
+ self._get_value_axis().grid()
+
+ def get_bar_labels(self):
+ return self._get_bar_axis().get_ticklabels()
+
+ def get_value_labels(self):
+ return self._get_value_axis().get_ticklabels()
+
+ def set_value_label_formatter(self, fn):
+ from matplotlib.ticker import FuncFormatter
+ self._get_value_axis().set_major_formatter(FuncFormatter(fn))
+
+ def set_integer_values_only(self):
+ from matplotlib.ticker import MaxNLocator
+ self._get_value_axis().set_major_locator(MaxNLocator(integer=True))
+
+ def set_property(self, *args, **kwargs):
+ plt.setp(*args, **kwargs)
+
+ def _set_size(self, inches, dim=0):
+ fig_size = self._fig.get_size_inches()
+ assert len(fig_size) == 2
+ fig_size[dim] = inches
+ self._fig.set_size_inches(fig_size, forward=True)
+
+ def set_width(self, inches):
+ self._set_size(inches)
+
+ def set_height(self, inches):
+ self._set_size(inches, dim=1)
+
+ def plot_bars(self, bar_labels, values, datetime_ticks=False):
+ numof_bars = len(bar_labels)
+
+ if not numof_bars:
+ self.set_height(1)
+ self._get_bar_axis().set_tick_params(labelleft=False)
+ return []
+
+ self.set_height(numof_bars / 2 if datetime_ticks else numof_bars)
+
+ bar_offsets = np.arange(numof_bars) * 2 * self._BAR_HEIGHT + self._BAR_HEIGHT
+ bar_axis_min, bar_axis_max = 0, 2 * self._BAR_HEIGHT * numof_bars
+
+ if datetime_ticks:
+ self._get_bar_axis().set_ticks(bar_offsets - self._BAR_HEIGHT)
+ else:
+ self._get_bar_axis().set_ticks(bar_offsets)
+
+ self._get_bar_axis().set_ticklabels(bar_labels)
+ self.set_bar_axis_limits(bar_axis_min, bar_axis_max)
+
+ return self._ax.barh(bar_offsets, values, align='center', height=self._BAR_HEIGHT)
+
+ def show(self):
+ plt.show()
+
+ def save(self, path):
+ self._fig.savefig(path, bbox_inches='tight')
+
+class PlotBuilder:
+ def __init__(self, fd=sys.stdout):
+ self._fd = fd
+
+ def _format_user(user):
+ return '{}\n{}'.format(user.get_first_name(), user.get_last_name())
+
+ def _format_date(date):
+ return str(date)
+
+ def _format_weekday(weekday):
+ return str(weekday)
+
+ def _format_hour(hour):
+ return '{}:00'.format(hour)
+
+ _FORMAT_KEY = {
+ Grouping.USER: _format_user,
+ Grouping.DATE: _format_date,
+ Grouping.WEEKDAY: _format_weekday,
+ Grouping.HOUR: _format_hour,
+ }
+
+ @staticmethod
+ def _format_key(grouping, key):
+ if grouping not in PlotBuilder._FORMAT_KEY:
+ raise NotImplementedError('unsupported grouping: ' + str(grouping))
+ return PlotBuilder._FORMAT_KEY[grouping](key)
+
+ @staticmethod
+ def _format_duration(seconds, _):
+ return str(timedelta(seconds=seconds))
+
+ @staticmethod
+ def _duration_to_seconds(td):
+ return td.total_seconds()
+
+ @staticmethod
+ def _extract_labels(grouping, durations):
+ return tuple(map(lambda key: PlotBuilder._format_key(grouping, key), durations.keys()))
+
+ @staticmethod
+ def _extract_values(durations):
+ return tuple(map(PlotBuilder._duration_to_seconds, durations.values()))
+
+ def process_database(self, grouping, db_reader, date_from=None, date_to=None):
+ durations = grouping.enum_durations(db_reader, date_from, date_to)
+
+ bar_chart = BarChartBuilder()
+
+ bar_chart.set_title('How much time people spend online')
+ bar_chart.set_value_grid()
+
+ bar_chart.set_integer_values_only()
+ bar_chart.set_property(bar_chart.get_value_labels(),
+ fontsize='small', rotation=30)
+ bar_chart.set_value_label_formatter(self._format_duration)
+
+ labels = self._extract_labels(grouping, durations)
+ durations = self._extract_values(durations)
+
+ if not labels or not max(durations):
+ bar_chart.set_value_axis_limits(0)
+
+ bars = bar_chart.plot_bars(labels, durations, grouping is Grouping.HOUR)
+ bar_chart.set_property(bars, alpha=.33)
+
+ if self._fd is sys.stdout:
+ bar_chart.show()
+ else:
+ bar_chart.save(self._fd)
+
+class OutputFormat(Enum):
+ CSV = 'csv'
+ JSON = 'json'
+ IMG = 'img'
+
+ def create_writer(self, fd):
+ if self is OutputFormat.CSV:
+ return OutputWriterCSV(fd)
+ elif self is OutputFormat.JSON:
+ return OutputWriterJSON(fd)
+ elif self is OutputFormat.IMG:
+ return PlotBuilder(fd)
+ else:
+ raise NotImplementedError('unsupported output format: ' + str(self))
+
+ def __str__(self):
+ return self.value
+
+if __name__ == '__main__':
+ import argparse
+
+ parser = argparse.ArgumentParser(
+ description='View/visualize the amount of time people spend online.')
+
+ def grouping(s):
+ try:
+ return Grouping(s)
+ except ValueError:
+ raise argparse.ArgumentError()
+ def database_format(s):
+ try:
+ return DatabaseFormat(s)
+ except ValueError:
+ raise argparse.ArgumentError()
+ def output_format(s):
+ try:
+ return OutputFormat(s)
+ except ValueError:
+ raise argparse.ArgumentError()
+ def date_range_limit(s):
+ try:
+ return datetime.strptime(s, '%Y-%m-%dT%H:%M:%SZ').replace(tzinfo=timezone.utc)
+ except ValueError:
+ raise argparse.ArgumentError()
+
+ parser.add_argument('input', type=argparse.FileType('r'),
+ help='database path')
+ parser.add_argument('output', type=argparse.FileType('w'),
+ nargs='?', default=sys.stdout,
+ help='output path (standard output by default)')
+ parser.add_argument('--grouping', type=grouping,
+ choices=tuple(grouping for grouping in Grouping),
+ default=Grouping.USER,
+ help='set grouping')
+ parser.add_argument('--input-format', type=database_format,
+ choices=tuple(fmt for fmt in DatabaseFormat),
+ default=DatabaseFormat.CSV,
+ help='specify database format')
+ parser.add_argument('--output-format', type=output_format,
+ choices=tuple(fmt for fmt in OutputFormat),
+ default=OutputFormat.CSV,
+ help='specify output format')
+ parser.add_argument('--from', type=date_range_limit, default=None,
+ dest='date_from',
+ help='set the date to process database records from')
+ parser.add_argument('--to', type=date_range_limit, default=None,
+ dest='date_to',
+ help='set the date to process database record to')
+
+ args = parser.parse_args()
+
+ if args.date_from is not None and args.date_to is not None:
+ if args.date_from > args.date_to:
+ args.date_from, args.date_to = args.date_to, args.date_from
+
+ with args.input_format.create_reader(args.input) as db_reader:
+ output_writer = args.output_format.create_writer(args.output)
+ output_writer.process_database(
+ args.grouping, db_reader, date_from=args.date_from,
+ date_to=args.date_to)