merge: T95 delete-impact computation service
This commit is contained in:
@@ -0,0 +1,147 @@
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"""Delete-impact computation service (T95, Phase 4).
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Walks event_log forward from a target event_id and produces an ImpactReport
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describing what would be removed if rewind-to-target were invoked. Pure
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computation — does NOT mutate the database. Used by T98's drawer surgical-
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delete UI to render an 'are you sure?' modal before invoking the actual
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rewind path (chat/services/rewind.py).
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"""
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from __future__ import annotations
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import json
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from sqlite3 import Connection
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from pydantic import BaseModel, Field
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class DeletedItem(BaseModel):
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kind: str
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description: str
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target_id: int | str | None = None
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class ImpactReport(BaseModel):
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target_event_id: int
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cascading: list[DeletedItem] = Field(default_factory=list)
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notes: list[str] = Field(default_factory=list)
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def _excerpt(text: str, n: int = 60) -> str:
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text = (text or "").strip().replace("\n", " ")
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return text if len(text) <= n else text[: n - 1] + "…"
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def compute_delete_impact(
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conn: Connection,
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*,
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target_event_id: int,
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) -> ImpactReport:
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"""Compute the cascading impact of rewinding to target_event_id."""
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# Verify target exists.
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target_row = conn.execute(
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"SELECT id, kind, payload_json FROM event_log WHERE id = ?",
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(target_event_id,),
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).fetchone()
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if target_row is None:
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return ImpactReport(
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target_event_id=target_event_id,
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cascading=[],
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notes=[f"target event_id {target_event_id} not found"],
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)
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# Walk forward: every event with id >= target_event_id is in scope.
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rows = conn.execute(
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"SELECT id, kind, payload_json FROM event_log "
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"WHERE id >= ? ORDER BY id ASC",
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(target_event_id,),
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).fetchall()
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cascading: list[DeletedItem] = []
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notes: list[str] = []
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scene_close_present = False
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regenerated_from = None
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for row_id, kind, payload_json in rows:
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try:
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payload = json.loads(payload_json) if payload_json else {}
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except (json.JSONDecodeError, TypeError):
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payload = {}
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if kind == "memory_written":
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cascading.append(
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DeletedItem(
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kind=kind,
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description=f"memory: {_excerpt(payload.get('pov_summary', ''))}",
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target_id=payload.get("memory_id"),
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)
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)
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elif kind == "edge_update":
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src = payload.get("source_id", "?")
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tgt = payload.get("target_id", "?")
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cascading.append(
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DeletedItem(
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kind=kind,
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description=f"edge update: {src} -> {tgt}",
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target_id=f"{src}->{tgt}",
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)
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)
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elif kind == "scene_closed":
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scene_close_present = True
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cascading.append(
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DeletedItem(
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kind=kind,
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description=f"scene close at {payload.get('closed_at', '?')}",
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target_id=payload.get("scene_id"),
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)
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)
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elif kind in ("user_turn", "user_turn_edit", "assistant_turn"):
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speaker = payload.get("speaker_id") or ("you" if kind.startswith("user") else "?")
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prose = payload.get("prose") or payload.get("text") or ""
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cascading.append(
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DeletedItem(
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kind=kind,
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description=f"turn {row_id} ({speaker}: {_excerpt(prose, 50)})",
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target_id=row_id,
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)
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)
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if regenerated_from is None and payload.get("regenerated_from"):
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regenerated_from = payload["regenerated_from"]
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elif kind == "manual_edit":
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target_kind = payload.get("target_kind", "?")
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cascading.append(
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DeletedItem(
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kind=kind,
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description=f"manual edit: {target_kind}",
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target_id=payload.get("target_id"),
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)
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)
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else:
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cascading.append(
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DeletedItem(
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kind=kind,
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description=f"{kind} event",
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target_id=row_id,
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)
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)
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# Notes / warnings.
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notes.append(f"{len(rows)} events would be discarded total")
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if scene_close_present:
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notes.append(
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"scene close events are in scope — closing-scene per-POV summaries "
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"and group_node updates will be reverted"
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)
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if regenerated_from is not None:
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notes.append(
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f"target turn was regenerated from event_id {regenerated_from}; "
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f"the original turn remains intact"
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)
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return ImpactReport(
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target_event_id=target_event_id,
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cascading=cascading,
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notes=notes,
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)
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__all__ = ["DeletedItem", "ImpactReport", "compute_delete_impact"]
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@@ -0,0 +1,248 @@
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"""Tests for Task 95 — delete-impact computation service (Phase 4).
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`compute_delete_impact` walks event_log forward from a target event_id and
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produces an :class:`ImpactReport` describing what would be removed if
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rewind-to-target were invoked. It is a pure preview — no database mutation.
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T98's drawer surgical-delete UI uses this to render an "are you sure?"
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modal before invoking the actual rewind path.
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"""
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from __future__ import annotations
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from chat.db.connection import open_db
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from chat.db.migrate import apply_migrations
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from chat.eventlog.log import append_event
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from chat.services.delete_impact import compute_delete_impact
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def _seed_chat(conn) -> tuple[int, int]:
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"""Append minimal bot + chat events; return their event ids."""
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bot_id = append_event(
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conn,
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kind="bot_authored",
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payload={
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"id": "bot_a",
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"name": "BotA",
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"persona": "...",
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"voice_samples": [],
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"traits": [],
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"backstory": "",
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"initial_relationship_to_you": "",
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"kickoff_prose": "",
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},
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)
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chat_id = append_event(
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conn,
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kind="chat_created",
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payload={
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"id": "chat_bot_a",
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"host_bot_id": "bot_a",
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"initial_time": "2026-04-26T20:00:00+00:00",
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"narrative_anchor": "Day 1",
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"weather": "",
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},
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)
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return bot_id, chat_id
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def test_impact_for_simple_turn_lists_memory_and_edges(tmp_path):
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db = tmp_path / "t.db"
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apply_migrations(db)
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with open_db(db) as conn:
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_seed_chat(conn)
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user_id = append_event(
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conn,
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kind="user_turn",
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payload={
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"chat_id": "chat_bot_a",
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"prose": "hey there friend",
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"segments": [],
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},
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)
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append_event(
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conn,
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kind="assistant_turn",
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payload={
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"chat_id": "chat_bot_a",
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"speaker_id": "bot_a",
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"text": "Hi! Good to see you.",
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"truncated": False,
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"user_turn_id": user_id,
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},
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)
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append_event(
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conn,
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kind="memory_written",
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payload={
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"owner_id": "bot_a",
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"chat_id": "chat_bot_a",
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"pov_summary": "You greeted me warmly today.",
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"witness_you": 1,
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"witness_host": 1,
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"witness_guest": 0,
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"source": "turn",
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"reliability": 1.0,
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"significance": 1,
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"pinned": 0,
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"auto_pinned": 0,
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},
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)
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append_event(
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conn,
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kind="edge_update",
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payload={
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"source_id": "you",
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"target_id": "bot_a",
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"affinity_delta": 0.1,
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},
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)
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report = compute_delete_impact(conn, target_event_id=user_id)
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assert report.target_event_id == user_id
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kinds = [item.kind for item in report.cascading]
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# Walk from user_turn forward — user_turn, assistant_turn,
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# memory_written, edge_update should all be in scope, in order.
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assert kinds == [
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"user_turn",
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"assistant_turn",
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"memory_written",
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"edge_update",
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]
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# Memory description includes the pov_summary excerpt.
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mem_item = report.cascading[2]
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assert "memory:" in mem_item.description
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assert "greeted" in mem_item.description
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# Edge description includes both endpoints.
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edge_item = report.cascading[3]
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assert "you" in edge_item.description
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assert "bot_a" in edge_item.description
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assert edge_item.target_id == "you->bot_a"
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# Notes mentions total count.
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assert any("4 events" in n for n in report.notes)
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def test_impact_for_scene_opening_turn_warns_about_subsequent(tmp_path):
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db = tmp_path / "t.db"
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apply_migrations(db)
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with open_db(db) as conn:
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_seed_chat(conn)
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early_id = append_event(
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conn,
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kind="user_turn",
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payload={"chat_id": "chat_bot_a", "prose": "the start", "segments": []},
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)
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append_event(
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conn,
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kind="assistant_turn",
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payload={
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"chat_id": "chat_bot_a",
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"speaker_id": "bot_a",
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"text": "ok",
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"truncated": False,
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"user_turn_id": early_id,
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},
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)
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append_event(
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conn,
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kind="scene_closed",
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payload={
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"scene_id": 1,
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"closed_at": "2026-04-26T21:00:00+00:00",
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"significance": 2,
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},
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)
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report = compute_delete_impact(conn, target_event_id=early_id)
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# Scene-close warning fires when one is in scope.
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assert any("scene close" in n.lower() for n in report.notes)
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# The scene_closed event also appears as a cascading item.
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assert any(item.kind == "scene_closed" for item in report.cascading)
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def test_impact_for_missing_event_returns_empty_with_note(tmp_path):
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db = tmp_path / "t.db"
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apply_migrations(db)
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with open_db(db) as conn:
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_seed_chat(conn)
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report = compute_delete_impact(conn, target_event_id=999_999)
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assert report.cascading == []
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assert any("not found" in n for n in report.notes)
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def test_impact_does_not_mutate_database(tmp_path):
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db = tmp_path / "t.db"
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apply_migrations(db)
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with open_db(db) as conn:
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_seed_chat(conn)
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user_id = append_event(
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conn,
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kind="user_turn",
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payload={"chat_id": "chat_bot_a", "prose": "hi", "segments": []},
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)
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append_event(
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conn,
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kind="assistant_turn",
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payload={
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"chat_id": "chat_bot_a",
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"speaker_id": "bot_a",
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"text": "hello",
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"truncated": False,
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"user_turn_id": user_id,
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},
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)
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# Snapshot all event_log rows as a tuple-of-tuples.
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before = conn.execute(
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"SELECT id, branch_id, ts, kind, payload_json, superseded_by, "
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"hidden FROM event_log ORDER BY id"
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).fetchall()
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compute_delete_impact(conn, target_event_id=user_id)
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after = conn.execute(
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"SELECT id, branch_id, ts, kind, payload_json, superseded_by, "
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"hidden FROM event_log ORDER BY id"
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).fetchall()
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# Byte-identical: nothing inserted, deleted, or updated.
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assert before == after
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def test_impact_includes_regenerated_from_warning(tmp_path):
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db = tmp_path / "t.db"
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apply_migrations(db)
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with open_db(db) as conn:
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_seed_chat(conn)
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original_id = append_event(
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conn,
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kind="assistant_turn",
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payload={
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"chat_id": "chat_bot_a",
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"speaker_id": "bot_a",
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"text": "first try",
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"truncated": False,
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"user_turn_id": 0,
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},
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)
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regen_id = append_event(
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conn,
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kind="assistant_turn",
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payload={
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"chat_id": "chat_bot_a",
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"speaker_id": "bot_a",
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"text": "second try",
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"truncated": False,
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"user_turn_id": 0,
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"regenerated_from": original_id,
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},
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)
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report = compute_delete_impact(conn, target_event_id=regen_id)
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# The regenerated_from note carries the original event id so the user
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# knows the original turn isn't lost.
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assert any("regenerated from" in n for n in report.notes)
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assert any(str(original_id) in n for n in report.notes)
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Reference in New Issue
Block a user