feat: map ScheduleRule models to and from schedule_rules storage
This commit is contained in:
@@ -40,6 +40,7 @@ from .const import QUEST_WINDOWS
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from .dao_children import ChildRecord, _child_from_row, _connection_lock
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from .dao_children import _CHILD_COLUMNS
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from .db import NestQuestDatabase
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from .recurrence import RuleType, RuleValidationError, ScheduleRule
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#: Sentinel distinguishing "argument omitted" from "explicit SQL NULL"
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#: in update methods: passing ``None`` must mean clearing a nullable
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@@ -119,6 +120,26 @@ class ScheduleRuleRecord:
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end_date: str | None
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@dataclass(frozen=True)
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class ScheduleRuleStorage:
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"""The eight value columns a ScheduleRule maps to (no id column).
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``id`` is assigned by the database on insert, so the model<->storage
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mapping concerns only the value columns. ``nth_weekday_weekday`` is
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deliberately absent here: for MONTHLY_WEEKDAY its value is folded
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into ``weekday_set`` as that column's single CSV element.
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"""
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rule_type: str
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interval: int
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weekday_set: str | None
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day_of_month: int | None
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nth_weekday: int | None
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month: int | None
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start_date: str
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end_date: str | None
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@dataclass(frozen=True)
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class QuestDefinitionRecord:
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"""One row of ``quest_definitions`` (without its assignees)."""
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@@ -188,6 +209,130 @@ def _window_from_row(row: tuple) -> QuestDefinitionWindowRecord:
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)
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def schedule_rule_to_storage(rule: ScheduleRule) -> ScheduleRuleStorage:
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"""Map a validated ScheduleRule onto its storage columns.
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``rule_type`` stores as ``RuleType.storage_value`` (MONTHLY_DAY and
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MONTHLY_WEEKDAY both store ``'monthly'``); ``weekday_set`` stores as
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a sorted CSV list. MONTHLY_WEEKDAY folds its model-only
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``nth_weekday_weekday`` into ``weekday_set`` as that list's single
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element; every other type leaves the column as its own set
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(WEEKLY/CUSTOM_DAYS) or NULL.
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"""
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shape = rule.rule_type
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if shape is RuleType.MONTHLY_WEEKDAY:
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weekday_set = str(rule.nth_weekday_weekday)
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elif shape is RuleType.WEEKLY or shape is RuleType.CUSTOM_DAYS:
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weekday_set = ",".join(str(w) for w in sorted(rule.weekday_set))
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else:
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weekday_set = None
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return ScheduleRuleStorage(
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rule_type=shape.storage_value,
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interval=rule.interval,
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weekday_set=weekday_set,
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day_of_month=rule.day_of_month,
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nth_weekday=rule.nth_weekday,
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month=rule.month,
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start_date=rule.start_date,
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end_date=rule.end_date,
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)
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def schedule_rule_from_storage(storage: ScheduleRuleStorage) -> ScheduleRule:
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"""Reconstruct a ScheduleRule from storage columns.
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Disambiguates MONTHLY_DAY from MONTHLY_WEEKDAY by which field is
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populated, and raises RuleValidationError rather than silently
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mis-decoding an ambiguous or invalid shape.
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"""
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rule_type = storage.rule_type
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if rule_type == "daily":
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shape = RuleType.DAILY
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elif rule_type == "weekly":
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shape = RuleType.WEEKLY
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elif rule_type == "monthly":
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shape = _disambiguate_monthly(storage)
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elif rule_type == "yearly":
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shape = RuleType.YEARLY
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elif rule_type == "custom":
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shape = RuleType.CUSTOM_DAYS
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else:
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raise RuleValidationError(
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f"unknown storage rule_type {rule_type!r}"
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)
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weekday_set = None
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nth_weekday_weekday = None
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if shape is RuleType.WEEKLY or shape is RuleType.CUSTOM_DAYS:
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weekday_set = _weekdays_from_csv(storage.weekday_set)
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elif shape is RuleType.MONTHLY_WEEKDAY:
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nth_weekday_weekday = _single_weekday_from_csv(storage.weekday_set)
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return ScheduleRule(
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rule_type=shape,
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interval=storage.interval,
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weekday_set=weekday_set,
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day_of_month=storage.day_of_month,
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nth_weekday=storage.nth_weekday,
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nth_weekday_weekday=nth_weekday_weekday,
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month=storage.month,
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start_date=storage.start_date,
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end_date=storage.end_date,
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)
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def _disambiguate_monthly(storage: ScheduleRuleStorage) -> RuleType:
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"""Resolve the shared 'monthly' storage value to a model type.
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MONTHLY_DAY names ``day_of_month`` only; MONTHLY_WEEKDAY names
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``nth_weekday`` only. Neither, or both, is ambiguous and raises.
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"""
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day_of_month = storage.day_of_month
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nth_weekday = storage.nth_weekday
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if day_of_month is not None and nth_weekday is None:
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return RuleType.MONTHLY_DAY
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if nth_weekday is not None and day_of_month is None:
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return RuleType.MONTHLY_WEEKDAY
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raise RuleValidationError(
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"storage rule_type 'monthly' is ambiguous: must name exactly one "
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"of day_of_month or nth_weekday, got "
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f"day_of_month={day_of_month!r}, nth_weekday={nth_weekday!r}"
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)
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def _weekdays_from_csv(value: str | None) -> frozenset[int]:
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"""Parse a weekday CSV column into a frozenset of ints.
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``None`` and ``""`` both yield an empty frozenset (the caller decides
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whether empty is legal); a non-integer token raises
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RuleValidationError rather than leaking a raw ValueError.
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"""
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if value is None or value == "":
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return frozenset()
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try:
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entries = [int(token) for token in value.split(",")]
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except ValueError:
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raise RuleValidationError(
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f"weekday_set must be a CSV of integers, got {value!r}"
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) from None
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return frozenset(entries)
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def _single_weekday_from_csv(value: str | None) -> int:
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"""The one weekday a MONTHLY_WEEKDAY stores in weekday_set.
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Raises RuleValidationError when the column is empty or holds more
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than one weekday — the position's weekday must be unambiguous.
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"""
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entries = _weekdays_from_csv(value)
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if len(entries) != 1:
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raise RuleValidationError(
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"MONTHLY_WEEKDAY storage weekday_set must hold exactly one "
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f"weekday, got {value!r}"
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)
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return next(iter(entries))
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class ScheduleRulesDao:
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"""Typed async access to the ``schedule_rules`` table."""
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@@ -9,13 +9,21 @@ import pytest
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from custom_components.nestquest.dao_children import ChildrenDao
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from custom_components.nestquest.dao_rules import (
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ScheduleRuleRecord,
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ScheduleRuleStorage,
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ScheduleRulesDao,
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QuestDefinitionRecord,
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QuestDefinitionWindowRecord,
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QuestDefinitionsDao,
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schedule_rule_from_storage,
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schedule_rule_to_storage,
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)
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from custom_components.nestquest.db import NestQuestDatabase
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from custom_components.nestquest.migrations import apply_migrations
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from custom_components.nestquest.recurrence import (
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RuleType,
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RuleValidationError,
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ScheduleRule,
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)
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def _run(coro):
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@@ -423,6 +431,183 @@ def test_rule_delete_concurrent_with_definition_create_is_safe(
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assert create_won is False
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# ---------------------------------------------------------------------------
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# ScheduleRule <-> storage mapping
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# ---------------------------------------------------------------------------
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_RULE_STORAGE_CASES = [
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(
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ScheduleRule(rule_type=RuleType.DAILY, start_date="2026-09-01"),
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ScheduleRuleStorage(
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"daily", 1, None, None, None, None, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.DAILY,
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interval=3,
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start_date="2026-09-01",
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end_date="2026-12-31",
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),
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ScheduleRuleStorage(
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"daily", 3, None, None, None, None, "2026-09-01", "2026-12-31"
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.WEEKLY,
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weekday_set={2, 0, 4},
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start_date="2026-09-01",
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),
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ScheduleRuleStorage(
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"weekly", 1, "0,2,4", None, None, None, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.CUSTOM_DAYS,
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weekday_set={1, 3, 5},
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interval=2,
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start_date="2026-09-01",
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),
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ScheduleRuleStorage(
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"custom", 2, "1,3,5", None, None, None, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.MONTHLY_DAY,
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day_of_month=15,
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start_date="2026-09-01",
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),
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ScheduleRuleStorage(
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"monthly", 1, None, 15, None, None, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.MONTHLY_DAY,
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day_of_month=31,
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interval=3,
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start_date="2026-09-01",
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),
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ScheduleRuleStorage(
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"monthly", 3, None, 31, None, None, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.MONTHLY_WEEKDAY,
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nth_weekday=2,
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nth_weekday_weekday=1,
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start_date="2026-09-01",
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),
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ScheduleRuleStorage(
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"monthly", 1, "1", None, 2, None, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.MONTHLY_WEEKDAY,
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nth_weekday=-1,
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nth_weekday_weekday=4,
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interval=2,
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start_date="2026-09-01",
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),
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ScheduleRuleStorage(
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"monthly", 2, "4", None, -1, None, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.YEARLY, month=6, start_date="2026-09-01"
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),
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ScheduleRuleStorage(
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"yearly", 1, None, None, None, 6, "2026-09-01", None
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),
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),
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(
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ScheduleRule(
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rule_type=RuleType.YEARLY,
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month=2,
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day_of_month=29,
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start_date="2026-09-01",
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),
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ScheduleRuleStorage(
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"yearly", 1, None, 29, None, 2, "2026-09-01", None
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),
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),
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]
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@pytest.mark.parametrize("rule, storage", _RULE_STORAGE_CASES)
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def test_schedule_rule_to_storage_maps_each_type(rule, storage) -> None:
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assert schedule_rule_to_storage(rule) == storage
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@pytest.mark.parametrize("rule, storage", _RULE_STORAGE_CASES)
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def test_schedule_rule_from_storage_rebuilds_each_type(rule, storage) -> None:
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assert schedule_rule_from_storage(storage) == rule
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@pytest.mark.parametrize("rule, storage", _RULE_STORAGE_CASES)
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def test_schedule_rule_round_trips_losslessly_both_directions(
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rule, storage
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) -> None:
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assert schedule_rule_from_storage(schedule_rule_to_storage(rule)) == rule
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assert schedule_rule_to_storage(schedule_rule_from_storage(storage)) == storage
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@pytest.mark.parametrize(
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"storage",
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[
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# monthly with neither day_of_month nor nth_weekday
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ScheduleRuleStorage(
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"monthly", 1, None, None, None, None, "2026-09-01", None
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),
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# monthly with both day_of_month and nth_weekday
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ScheduleRuleStorage(
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"monthly", 1, None, 15, 2, None, "2026-09-01", None
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),
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# MONTHLY_WEEKDAY whose weekday_set is None
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ScheduleRuleStorage(
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"monthly", 1, None, None, 2, None, "2026-09-01", None
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),
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# MONTHLY_WEEKDAY whose weekday_set is empty
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ScheduleRuleStorage("monthly", 1, "", None, 2, None, "2026-09-01", None),
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# MONTHLY_WEEKDAY whose weekday_set is multi-element
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ScheduleRuleStorage(
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"monthly", 1, "1,3", None, 2, None, "2026-09-01", None
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),
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# unknown storage rule_type
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ScheduleRuleStorage(
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"sometimes", 1, None, None, None, None, "2026-09-01", None
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),
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],
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)
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def test_schedule_rule_from_storage_rejects_ambiguous_or_invalid(
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storage,
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) -> None:
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with pytest.raises(RuleValidationError):
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schedule_rule_from_storage(storage)
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def test_schedule_rule_from_storage_rejects_malformed_weekday_csv() -> None:
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with pytest.raises(RuleValidationError):
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schedule_rule_from_storage(
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ScheduleRuleStorage(
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"weekly", 1, "0,2,x", None, None, None, "2026-09-01", None
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)
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)
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with pytest.raises(RuleValidationError):
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schedule_rule_from_storage(
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ScheduleRuleStorage(
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"weekly", 1, "7", None, None, None, "2026-09-01", None
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)
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)
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# ---------------------------------------------------------------------------
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# quest_definitions: create / get
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# ---------------------------------------------------------------------------
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Reference in New Issue
Block a user