source: flowtimer/flowtimer/RecurringPhaseSequence.py@ df0449c

import json
from copy import deepcopy
from flowtimer.Phase import Phase


class RecurringPhaseSequence:

    @classmethod
    def from_json(cls, a_json_string):
        def custom_object_hook(d):
            if 'title' in d and 'initial_ticks' in d:
                return Phase(d['title'], d['initial_ticks'])
            if 'phases' in d and 'initial_repetitions' in d:
                return RecurringPhaseSequence(d["title"], d['phases'], d['initial_repetitions'])
            print("Wrong format")
            return d
        return json.loads(a_json_string, object_hook=custom_object_hook)

    @classmethod
    def default_json_string(cls):
        return json.dumps({"title": "default",
                           "phases": [{"title": "Tasking", "initial_ticks": 5},
                                      {"title": "Work", "initial_ticks": 45},
                                      {"title": "Break", "initial_ticks": 15}],
                           "initial_repetitions": 3})

    @classmethod
    def default(cls):
        return cls.from_json(cls.default_json_string())

    def __init__(self, title, phases, repetitions):
        assert repetitions > 0
        assert phases is not []
        self._title = title
        self._state = "initial"
        self.phases = phases
        self.current_phase = phases[0]
        self.initial_repetitions = repetitions
        self.passes_left = repetitions - 1

    def to_json(self):
        return json.dumps(self.__dict__, default=lambda each: each.to_json())

    @property
    def title(self):
        return self._title

    def __str__(self):
        return ("Sequence title:" + self.title + "\n" + str(self.current_phase))

    def is_sequence(self):
        return True

    def current_phase_number(self):
        return self.phases.index(self.current_phase)

    def phases_left_in_pass(self):
        return len(self.upcoming_phases_in_pass())

    def upcoming_phases_in_pass(self):
        if self.current_phase_number() < len(self.phases) - 1:
            return self.phases[self.current_phase_number()+1:]
        return []

    @property
    def initial_ticks(self):
        return sum([each.initial_ticks for each in self.phases])

    @property
    def ticks_left(self):
        return (
            (self.passes_left) * sum([each.initial_ticks for each in self.phases]) +
            self.current_phase.ticks_left +
            sum([each.ticks_left for each in self.upcoming_phases_in_pass()]))

    def state(self):
        if self.is_completed():
            return "completed"
        return self._state

    def is_final_round(self):
        return self.passes_left == 0

    def is_completed(self):
        return ((self.passes_left < 1) and
                (not self.upcoming_phases_in_pass() and
                 self.current_phase.is_completed()))

    def is_terminated(self):
        return (self.is_aborted() or self.is_completed())

    def is_aborted(self):
        return self._state == 'aborted'

    def abort(self):
        self.current_phase.abort()
        self._state = "aborted"

    def start(self):
        self._state = "running"

    def skip(self):
        if self.upcoming_phases_in_pass():
            self.current_phase.reset()
            self.current_phase = self.upcoming_phases_in_pass()[0]
            return
        else:
            if self.is_final_round():
                self.abort()
                return
            else:
                self.passes_left -= 1
                self.current_phase.reset()
                self.current_phase = self.phases[0]

    def advance_to_next_phase(self):
        current_index = self.current_phase_number()
        if current_index < len(self.phases) - 1:
            # Move to the next phase in the sequence
            self.current_phase.reset()
            self.current_phase = self.phases[current_index + 1]
            # self.current_phase.start()
        else:
            # Completed a full sequence; check if more repetitions are needed
            self.passes_left -= 1
            if self.passes_left < 1:
                self._state = "completed"
            else:
                self.current_phase.reset()
                self.current_phase = self.phases[0]  # Reset to the first phase
                # self.current_phase.start()

    def tick(self, ticks):
        if not self.is_completed():
            result = self.current_phase.tick(ticks)
            if self.current_phase.is_completed():
                self.advance_to_next_phase()
                result = self.tick(abs(result))
                return result
            return result
        else:
            return 0

    def unrolled(self):
        return [deepcopy(seq) for seq in [each for each in self.initial_repetitions * self.phases]]