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from collections.abc import Iterable
from dataclasses import dataclass
from datetime import datetime, timedelta
from typing import TYPE_CHECKING, Optional, Union
if TYPE_CHECKING:
from redis.client import Pipeline
from .job import Job
from .queue import Queue
@dataclass
class Repeat:
"""Defines repeat behavior for scheduled jobs.
Attributes:
times (int): The number of times to repeat the job. Must be greater than 0.
intervals (Union[int, List[int]]): The intervals between job executions in seconds.
Can be a single integer value or a list of intervals. If a list is provided and it's
shorter than (times-1), the last interval will be reused for remaining repeats.
"""
times: int
intervals: list[int]
def __init__(self, times: int, interval: Optional[Union[int, Iterable[int]]] = 0):
"""Initialize a Repeat instance.
Args:
times (int): The number of times to repeat the job. Must be greater than 0.
interval (Optional[Union[int, Iterable[int]]], optional): The intervals between job executions in seconds.
Can be a single integer value or a list of intervals. Defaults to 0 (immediately repeated).
Raises:
ValueError: If times is less than 1 or if intervals contains negative values.
"""
if times < 1:
raise ValueError('times: please enter a value greater than 0')
if isinstance(interval, int):
if interval < 0:
raise ValueError('intervals: negative numbers are not allowed')
self.intervals = [interval]
elif isinstance(interval, Iterable):
interval_list = list(interval)
for i in interval_list:
if i < 0:
raise ValueError('intervals: negative numbers are not allowed')
self.intervals = interval_list
else:
raise TypeError('intervals must be an int or iterable of ints')
self.times = times
@classmethod
def get_interval(cls, count: int, intervals: list[int]) -> int:
"""Returns the appropriate interval based on the repeat count.
Args:
count (int): Current repeat count (0-based)
intervals (List[int]): List of intervals
Returns:
int: The interval to use
"""
if count >= len(intervals):
return intervals[-1] # Use the last interval if we've run out
return intervals[count]
@classmethod
def schedule(cls, job: 'Job', queue: 'Queue', pipeline: Optional['Pipeline'] = None):
"""Schedules a job to repeat based on its repeat configuration.
This decrements the job's repeats_left counter and either enqueues
it immediately (if interval is 0) or schedules it to run after the
specified interval.
Args:
job (Job): The job to repeat
queue (Queue): The queue to enqueue/schedule the job on
pipeline (Optional[Pipeline], optional): Redis pipeline to use. Defaults to None.
Returns:
scheduled_time (Optional[datetime]): When the job was scheduled to run, or None if not scheduled
"""
if job.repeats_left is None or job.repeats_left <= 0:
raise ValueError(f'Cannot schedule job {job.id}: no repeats left')
pipe = pipeline if pipeline is not None else job.connection.pipeline()
# Get the interval for this repeat based on remaining repeats
repeat_count = job.repeats_left - 1 # Count from the end (0-indexed)
interval = 0
if job.repeat_intervals:
interval = cls.get_interval(repeat_count, job.repeat_intervals)
# Decrement repeats_left
job.repeats_left = job.repeats_left - 1
job.save(pipeline=pipe)
if interval == 0:
# Enqueue the job immediately
queue._enqueue_job(job, pipeline=pipe)
else:
# Schedule the job to run after the interval
scheduled_time = datetime.now() + timedelta(seconds=interval)
queue.schedule_job(job, scheduled_time, pipeline=pipe)
# Execute the pipeline if we created it
if pipeline is None:
pipe.execute()
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