fix: single coherent input snapshot and skip-invalidated-tuple (NQ-75-001, NQ-75-002)
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@@ -8,13 +8,14 @@ generation are separate later tasks and live elsewhere.
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The walk is deterministic and idempotent:
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- Every active definition is read with its decoded
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:class:`~.recurrence.ScheduleRule`, assignees and windows through the
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Feature 06 snapshot helpers, so each bundle is a coherent read.
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- All inputs — the active definitions with their rules, assignees and
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windows, AND the assignee children's presence schedules and scoped
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overrides — are read inside ONE locked transaction (see
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:func:`~.dao_rules.load_materialization_input`), so the walk sees a
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single coherent snapshot rather than a definition state from one
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instant and a presence state from another.
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- Presence is snapshotted into an immutable
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:class:`~.presence.PresenceEngine` from the schedules and overrides of
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every assignee child, read in one locked transaction (see
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:func:`~.dao_presence.load_snapshot`).
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:class:`~.presence.PresenceEngine` from that same coherent read.
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- For each date in the range, each definition whose decoded rule
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:func:`~.recurrence.occurs_on` on that date, each assignee who is
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``is_present`` on that date and each declared window, one instance is
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@@ -22,6 +23,13 @@ The walk is deterministic and idempotent:
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the window's ``due_time`` snapshotted and a ``generated_at`` stamp
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shared by the whole batch (one coherent time per run).
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A config change that lands AFTER the snapshot is read but BEFORE a
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tuple's upsert (an assignment removed, a definition or child
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deactivated, a window removed) makes that tuple SKIP rather than abort
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the batch: each tuple is re-validated against the current state right
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before its upsert, and only the narrow "no longer valid" conditions are
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treated as skippable.
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The upsert is idempotent on (definition_id, child_id, due_date, window),
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so re-running the materialization over the same range never duplicates a
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row; skipped-completed handling is deliberately NOT done here.
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@@ -31,10 +39,10 @@ from __future__ import annotations
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import datetime
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from .dao_instances import QuestInstancesDao
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from .dao_presence import load_snapshot
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from .dao_rules import (
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QuestDefinitionsDao,
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_validate_date,
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load_materialization_input,
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schedule_rule_from_storage,
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schedule_rule_storage_from_record,
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)
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@@ -88,6 +96,22 @@ def _build_engine(
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return PresenceEngine(schedules, overrides)
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def _is_deleted_tuple(error: ValueError) -> bool:
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"""True for the narrow 'tuple no longer valid' upsert rejections.
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A change landing between the per-tuple validity re-check and the
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upsert can still surface as the upsert's "definition does not exist"
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or "not assigned to child" error; those are skippable. Every other
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rejection (past due date, immutable completed instance, bad window)
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is a real error and propagates.
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"""
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message = str(error)
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return (
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"does not exist" in message
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or "is not assigned to child" in message
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)
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async def materialize(
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database: NestQuestDatabase,
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start_date: str,
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@@ -98,13 +122,13 @@ async def materialize(
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``start_date`` and ``end_date`` must be strict ISO calendar dates
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(YYYY-MM-DD) with ``end_date`` on or after ``start_date``; anything
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else raises ValueError naming the offending field. Returns the number
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of instances upserted (idempotent — a re-run for the same batch
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refreshes the same rows, never duplicates them).
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of instances upserted for the range (idempotent — a re-run refreshes
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the same rows, never duplicates them).
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The active definitions and the presence inputs are each read as a
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coherent snapshot, and the presence schedule/overrides are read under
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one locked transaction so the walk sees a single stable view of who
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is where on each date.
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All inputs are read in ONE locked transaction, and each tuple is
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re-validated against the current state just before its upsert so a
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config change that arrives mid-batch skips the affected tuples rather
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than aborting the batch or leaving a partial result.
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"""
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_validate_date(start_date, "start_date")
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_validate_date(end_date, "end_date")
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@@ -114,17 +138,8 @@ async def materialize(
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f"{end_date!r} < {start_date!r}"
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)
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snapshots = await QuestDefinitionsDao(database).list_snapshots_active()
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assignee_child_ids = sorted(
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{
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child.id
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for snapshot in snapshots
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for child in snapshot.assignees
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}
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)
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schedules_records, overrides_records = await load_snapshot(
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database, assignee_child_ids, start_date, end_date
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snapshots, schedules_records, overrides_records = await (
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load_materialization_input(database, start_date, end_date)
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)
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engine = _build_engine(schedules_records, overrides_records)
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@@ -136,6 +151,7 @@ async def materialize(
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generated_at = _now_stamp()
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instances = QuestInstancesDao(database)
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definitions_dao = QuestDefinitionsDao(database)
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start = datetime.datetime.strptime(start_date, "%Y-%m-%d").date()
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end = datetime.datetime.strptime(end_date, "%Y-%m-%d").date()
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@@ -151,14 +167,23 @@ async def materialize(
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if not engine.is_present(child.id, cursor):
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continue
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for window in windows:
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await instances.upsert(
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definition_id,
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child.id,
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iso,
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generated_at,
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window=window.window,
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due_time=window.due_time,
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)
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if not await definitions_dao.still_materializable(
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definition_id, child.id, window.window
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):
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continue
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try:
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await instances.upsert(
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definition_id,
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child.id,
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iso,
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generated_at,
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window=window.window,
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due_time=window.due_time,
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)
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except ValueError as error:
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if _is_deleted_tuple(error):
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continue
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raise
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count += 1
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cursor += datetime.timedelta(days=1)
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return count
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