path: root/bin/online_sessions.py

# Copyright (c) 2016 Egor Tensin <Egor.Tensin@gmail.com>
# This file is part of the "VK scripts" project.
# For details, see https://github.com/egor-tensin/vk-scripts.
# Distributed under the MIT License.

import abc
import argparse
from collections import OrderedDict
from datetime import datetime, timedelta, timezone
from enum import Enum
import sys

from vk.tracking import OnlineSessionEnumerator
from vk.tracking.db import Format as DatabaseFormat
from vk.user import UserField

from .utils.bar_chart import BarChartBuilder
from .utils import output

class GroupBy(Enum):
    USER = 'user'
    DATE = 'date'
    WEEKDAY = 'weekday'
    HOUR = 'hour'

    def __str__(self):
        return self.value

    def group(self, db_reader, time_from=None, time_to=None):
        online_streaks = OnlineSessionEnumerator(time_from, time_to)
        if self is GroupBy.USER:
            return online_streaks.group_by_user(db_reader)
        elif self is GroupBy.DATE:
            return online_streaks.group_by_date(db_reader)
        elif self is GroupBy.WEEKDAY:
            return online_streaks.group_by_weekday(db_reader)
        elif self is GroupBy.HOUR:
            return online_streaks.group_by_hour(db_reader)
        else:
            raise NotImplementedError('unsupported grouping: ' + str(self))

_OUTPUT_USER_FIELDS = (
    UserField.UID,
    UserField.FIRST_NAME,
    UserField.LAST_NAME,
    UserField.DOMAIN,
)

class OutputSinkOnlineSessions(metaclass=abc.ABCMeta):
    @abc.abstractmethod
    def process_database(self, group_by, db_reader, time_from=None, time_to=None):
        pass

class OutputConverterCSV:
    @staticmethod
    def convert_user(user):
        return [user[field] for field in _OUTPUT_USER_FIELDS]

    @staticmethod
    def convert_date(date):
        return [str(date)]

    @staticmethod
    def convert_weekday(weekday):
        return [str(weekday)]

    @staticmethod
    def convert_hour(hour):
        return [str(timedelta(hours=hour))]

class OutputSinkCSV(OutputSinkOnlineSessions):
    def __init__(self, fd=sys.stdout):
        self._writer = output.OutputWriterCSV(fd)

    _CONVERT_KEY = {
        GroupBy.USER: OutputConverterCSV.convert_user,
        GroupBy.DATE: OutputConverterCSV.convert_date,
        GroupBy.WEEKDAY: OutputConverterCSV.convert_weekday,
        GroupBy.HOUR: OutputConverterCSV.convert_hour,
    }

    @staticmethod
    def _key_to_row(group_by, key):
        if group_by not in OutputSinkCSV._CONVERT_KEY:
            raise NotImplementedError('unsupported grouping: ' + str(group_by))
        return OutputSinkCSV._CONVERT_KEY[group_by](key)

    def process_database(self, group_by, db_reader, time_from=None, time_to=None):
        for key, duration in group_by.group(db_reader, time_from, time_to).items():
            row = self._key_to_row(group_by, key)
            row.append(str(duration))
            self._writer.write_row(row)

class OutputConverterJSON:
    _DATE_FIELD = 'date'
    _WEEKDAY_FIELD = 'weekday'
    _HOUR_FIELD = 'hour'

    assert _DATE_FIELD not in map(str, _OUTPUT_USER_FIELDS)
    assert _WEEKDAY_FIELD not in map(str, _OUTPUT_USER_FIELDS)
    assert _HOUR_FIELD not in map(str, _OUTPUT_USER_FIELDS)

    @staticmethod
    def convert_user(user):
        obj = OrderedDict()
        for field in _OUTPUT_USER_FIELDS:
            obj[str(field)] = user[field]
        return obj

    @staticmethod
    def convert_date(date):
        obj = OrderedDict()
        obj[OutputConverterJSON._DATE_FIELD] = str(date)
        return obj

    @staticmethod
    def convert_weekday(weekday):
        obj = OrderedDict()
        obj[OutputConverterJSON._WEEKDAY_FIELD] = str(weekday)
        return obj

    @staticmethod
    def convert_hour(hour):
        obj = OrderedDict()
        obj[OutputConverterJSON._HOUR_FIELD] = str(timedelta(hours=hour))
        return obj

class OutputSinkJSON(OutputSinkOnlineSessions):
    def __init__(self, fd=sys.stdout):
        self._writer = output.OutputWriterJSON(fd)

    _DURATION_FIELD = 'duration'

    assert _DURATION_FIELD not in map(str, _OUTPUT_USER_FIELDS)

    _CONVERT_KEY = {
        GroupBy.USER: OutputConverterJSON.convert_user,
        GroupBy.DATE: OutputConverterJSON.convert_date,
        GroupBy.WEEKDAY: OutputConverterJSON.convert_weekday,
        GroupBy.HOUR: OutputConverterJSON.convert_hour,
    }

    @staticmethod
    def _key_to_object(group_by, key):
        if not group_by in OutputSinkJSON._CONVERT_KEY:
            raise NotImplementedError('unsupported grouping: ' + str(group_by))
        return OutputSinkJSON._CONVERT_KEY[group_by](key)

    def process_database(self, group_by, db_reader, time_from=None, time_to=None):
        entries = []
        for key, duration in group_by.group(db_reader, time_from, time_to).items():
            entry = self._key_to_object(group_by, key)
            entry[self._DURATION_FIELD] = str(duration)
            entries.append(entry)
        self._writer.write(entries)

class OutputConverterPlot:
    @staticmethod
    def convert_user(user):
        return '{}\n{}'.format(user.get_first_name(), user.get_last_name())

    @staticmethod
    def convert_date(date):
        return str(date)

    @staticmethod
    def convert_weekday(weekday):
        return str(weekday)

    @staticmethod
    def convert_hour(hour):
        return '{}:00'.format(hour)

class OutputSinkPlot(OutputSinkOnlineSessions):
    def __init__(self, fd=sys.stdout):
        self._fd = fd

    TITLE = 'How much time people spend online'

    _FORMAT_KEY = {
        GroupBy.USER: OutputConverterPlot.convert_user,
        GroupBy.DATE: OutputConverterPlot.convert_date,
        GroupBy.WEEKDAY: OutputConverterPlot.convert_weekday,
        GroupBy.HOUR: OutputConverterPlot.convert_hour,
    }

    @staticmethod
    def _format_key(group_by, key):
        if group_by not in OutputSinkPlot._FORMAT_KEY:
            raise NotImplementedError('unsupported grouping: ' + str(group_by))
        return OutputSinkPlot._FORMAT_KEY[group_by](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(group_by, durations):
        return tuple(map(lambda key: OutputSinkPlot._format_key(group_by, key), durations.keys()))

    @staticmethod
    def _extract_values(durations):
        return tuple(map(OutputSinkPlot._duration_to_seconds, durations.values()))

    def process_database(
            self, group_by, db_reader, time_from=None, time_to=None):

        durations = group_by.group(db_reader, time_from, time_to)

        bar_chart = BarChartBuilder()
        bar_chart.set_title(OutputSinkPlot.TITLE)
        bar_chart.enable_grid_for_values()
        bar_chart.only_integer_values()
        bar_chart.set_property(bar_chart.get_values_labels(),
                               fontsize='small', rotation=30)
        bar_chart.set_value_label_formatter(self._format_duration)

        labels = self._extract_labels(group_by, durations)
        durations = self._extract_values(durations)

        if group_by is GroupBy.HOUR:
            bar_chart.labels_align_middle = False
            bar_height = bar_chart.THIN_BAR_HEIGHT
        else:
            bar_height = bar_chart.THICK_BAR_HEIGHT

        bars = bar_chart.plot_bars(
            labels, durations, bar_height=bar_height)
        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'
    PLOT = 'plot'

    def __str__(self):
        return self.value

    def create_sink(self, fd=sys.stdout):
        if self is OutputFormat.CSV:
            return OutputSinkCSV(fd)
        elif self is OutputFormat.JSON:
            return OutputSinkJSON(fd)
        elif self is OutputFormat.PLOT:
            return OutputSinkPlot(fd)
        else:
            raise NotImplementedError('unsupported output format: ' + str(self))

    def open_file(self, path=None):
        if self is OutputFormat.PLOT:
            return output.open_binary_file(path)
        else:
            return output.open_text_file(path)

def _parse_group_by(s):
    try:
        return GroupBy(s)
    except ValueError:
        raise argparse.ArgumentTypeError('invalid "group by" value: ' + s)

def _parse_database_format(s):
    try:
        return DatabaseFormat(s)
    except ValueError:
        raise argparse.ArgumentTypeError('invalid database format: ' + s)

def _parse_output_format(s):
    try:
        return OutputFormat(s)
    except ValueError:
        raise argparse.ArgumentTypeError('invalid output format: ' + s)

_DATE_RANGE_LIMIT_FORMAT = '%Y-%m-%dT%H:%M:%SZ'

def _parse_date_range_limit(s):
    try:
        dt = datetime.strptime(s, _DATE_RANGE_LIMIT_FORMAT)
        return dt.replace(tzinfo=timezone.utc)
    except ValueError:
        msg = 'invalid date range limit (must be in the \'{}\' format): {}'
        raise argparse.ArgumentTypeError(
            msg.format(_DATE_RANGE_LIMIT_FORMAT, s))

def _parse_args(args=None):
    if args is None:
        args = sys.argv[1:]

    parser = argparse.ArgumentParser(
        description='View/visualize the amount of time people spend online.')

    parser.add_argument('db_path', metavar='input', nargs='?',
                        help='database file path (standard input by default)')
    parser.add_argument('out_path', metavar='output', nargs='?',
                        help='output file path (standard output by default)')
    parser.add_argument('-g', '--group-by',
                        type=_parse_group_by,
                        choices=GroupBy,
                        default=GroupBy.USER,
                        help='group online sessions by user/date/etc.')
    parser.add_argument('-i', '--input-format', dest='db_fmt',
                        type=_parse_database_format,
                        default=DatabaseFormat.CSV,
                        choices=DatabaseFormat,
                        help='specify database format')
    parser.add_argument('-o', '--output-format', dest='out_fmt',
                        type=_parse_output_format,
                        choices=OutputFormat,
                        default=OutputFormat.CSV,
                        help='specify output format')
    parser.add_argument('-a', '--from', dest='time_from',
                        type=_parse_date_range_limit, default=None,
                        help='discard online activity prior to this moment')
    parser.add_argument('-b', '--to', dest='time_to',
                        type=_parse_date_range_limit, default=None,
                        help='discard online activity after this moment')

    return parser.parse_args(args)

def process_online_sessions(
        db_path=None, db_fmt=DatabaseFormat.CSV,
        out_path=None, out_fmt=OutputFormat.CSV,
        group_by=GroupBy.USER,
        time_from=None, time_to=None):

    if time_from is not None and time_to is not None:
        if time_from > time_to:
            time_from, time_to = time_to, time_from

    with db_fmt.open_input_file(db_path) as db_fd:
        db_reader = db_fmt.create_reader(db_fd)
        with out_fmt.open_file(out_path) as out_fd:
            out_sink = out_fmt.create_sink(out_fd)
            out_sink.process_database(
                group_by, db_reader,
                time_from=time_from,
                time_to=time_to)

def main(args=None):
    process_online_sessions(**vars(_parse_args(args)))

if __name__ == '__main__':
    main()