Files
hermes-agent/hermes_state_portability.py
T
Teknium d15c61b5dc refactor(state): split SessionDB into domain mixins and free-function modules; unify SQL boilerplate
hermes_state.py 17,220 -> 6,442 LOC. Behavior-neutral: every moved body is
AST-identical to the original, verified per extraction.

SessionDB core
- _write_sql / _write_rowcount / _read_one / _read_all replace ~120 copies of
  the `def _do(conn): conn.execute(...)` + `_execute_write(_do)` and
  `with self._read_ctx() as conn: row = conn.execute(...).fetchone()` shapes.
- _set_lineage_column replaces four copies of the recursive compression-lineage
  UPDATE (archived / pinned / hidden / last_read_at).
- _read_session_number unifies the three compression counter readers.
- Dead (zero refs repo-wide): restore_rewound, delete_gateway_routing_entries,
  _is_duplicate_replayed_user_message, SessionPortabilityMixin.get_first_assistant_text.

New mixins bound onto SessionDB via the MRO (logger name stays "hermes_state"):
  hermes_state_messages    SessionMessagesMixin       48 methods
  hermes_state_compression SessionCompressionMixin    30
  hermes_state_gateway     SessionGatewayMixin        26
  hermes_state_maintenance SessionMaintenanceMixin    13
  hermes_state_usage       SessionUsageMixin          12
  hermes_state_titles      SessionTitlesMixin         13
  hermes_state_telegram    SessionTelegramTopicsMixin 11
Origin-internal symbols resolve through a lazy `from hermes_state import ...`
inside the few methods that need them (no import cycle).

New free-function modules, every name re-imported into hermes_state so
`hermes_state.<name>` (and test monkeypatches on it) keep working; intra-module
calls to patched helpers go through the lazy origin import:
  hermes_state_repair   repair/backup/preflight (43 defs)
  hermes_state_wal      journal-mode / PRAGMA policy (33 defs)
  hermes_state_dbfile   header probes, zeroed-db quarantine, stats, holders (21 defs)

Existing mixins: search — shared FTS MATCH/LIKE builders, unified rebuild
status/step/finish engines, state_meta helpers; schema — one legacy/v23 FTS init
branch, shared _live_pk_columns, Row/tuple dual access dropped; portability —
shared _PREVIEW_RAW_SUBQUERY_SQL and _rich_row; common — single
stat_db_file_identity (was 3 copies), AUTO_VACUUM_MIN_FREELIST_RATIO.

Docstrings/comments hand-compacted (AST-identical) keeping every invariant,
ordering rule, failure mode and WHY. Schema SQL, migration order and PRAGMAs
untouched. test_repair_path_has_no_bare_connects repointed to hermes_state_repair.
2026-09-02 13:32:13 -07:00

665 lines
30 KiB
Python

"""Session listing/rich rows, export, and import (portability) for SessionDB.
Plain mixin consumed by ``hermes_state.SessionDB``: no ``__init__``, no state
of its own; methods use host attributes established by ``SessionDB.__init__``.
Must never import hermes_state (cycle) — shared constants live in
hermes_state_common.
"""
import logging
import json
import time
from typing import Any, Dict, List, Optional
from agent.skill_commands import SKILL_SCAFFOLD_SQL_LIKE
from hermes_state_common import (
SCHEMA_SQL,
_PREVIEW_RAW_SUBQUERY_SQL,
_shape_preview,
_sql_session_last_active,
)
# Keep the pre-split logger identity so log filtering/capture is unchanged.
logger = logging.getLogger("hermes_state")
class SessionPortabilityMixin:
"""See module docstring — mixin for SessionDB (Port cluster)."""
@classmethod
def _compact_session_cols(cls) -> str:
"""``s.``-prefixed SELECT list of every SCHEMA_SQL ``sessions`` column
except prompt storage internals (the compact_rows projection)."""
if cls._session_compact_cols_sql is None:
declared = cls._parse_schema_columns(SCHEMA_SQL)["sessions"]
cls._session_compact_cols_sql = ", ".join(
f"s.{name}" for name in declared
if name not in cls._SESSION_COMPACT_EXCLUDED
)
return cls._session_compact_cols_sql
@classmethod
def _rich_row(cls, row) -> Dict[str, Any]:
"""Session row dict with ``_preview_raw`` shaped into ``preview``."""
s = cls._session_row_dict(row)
s["preview"] = _shape_preview(s.pop("_preview_raw", ""))
return s
def distinct_session_cwds(self, include_archived: bool = False) -> List[Dict[str, Any]]:
"""Distinct non-empty session cwds with usage stats, for repo discovery.
Aggregates across ALL history (not one page) so every repo the user
worked in surfaces. Children/branches count: a worktree session is a
real workspace signal.
"""
where = "cwd IS NOT NULL AND TRIM(cwd) != ''"
if not include_archived:
where += " AND archived = 0"
with self._lock:
rows = self._conn.execute(
"SELECT cwd AS cwd, COUNT(*) AS sessions, "
"MAX(COALESCE(ended_at, started_at, 0)) AS last_active "
f"FROM sessions WHERE {where} GROUP BY cwd"
).fetchall()
return [
{
"cwd": r["cwd"],
"sessions": int(r["sessions"] or 0),
"last_active": float(r["last_active"] or 0),
}
for r in rows
]
def list_cron_job_runs(
self,
job_id: str,
limit: int = 20,
offset: int = 0,
) -> List[Dict[str, Any]]:
"""List the run sessions produced by a single cron job, newest first.
Cron runs are flat sessions with id ``cron_{job_id}_{timestamp}``; they
never compress or branch, so this skips ``list_sessions_rich``'s
compression-chain CTE / leading-wildcard ``id_query`` path, which seeds
from EVERY ``source='cron'`` row and scales with the whole cron pile.
Instead: a ``[prefix, prefix_hi)`` index range scan on id, filtered to
``source='cron'``, so work scales with the requested window.
Returns the ``list_sessions_rich`` row shape (``preview`` + ``last_active``).
"""
prefix = f"cron_{job_id}_"
# Half-open upper bound: bump the final byte so the range covers exactly
# the ids starting with ``prefix``.
prefix_hi = prefix[:-1] + chr(ord(prefix[-1]) + 1)
query = f"""
SELECT s.*,
COALESCE(sp.prompt, s.system_prompt) AS _system_prompt_resolved,
{_PREVIEW_RAW_SUBQUERY_SQL},
{_sql_session_last_active("s")} AS last_active
FROM sessions s
LEFT JOIN system_prompts sp ON sp.hash = s.system_prompt_hash
WHERE s.source = 'cron' AND s.id >= ? AND s.id < ?
ORDER BY s.started_at DESC, s.id DESC
LIMIT ? OFFSET ?
"""
with self._lock:
rows = self._conn.execute(query, (prefix, prefix_hi, limit, offset)).fetchall()
return [self._rich_row(row) for row in rows]
def _get_session_rich_row(self, session_id: str, compact_rows: bool = False) -> Optional[Dict[str, Any]]:
"""One session with the ``list_sessions_rich`` enriched columns, or
None. ``compact_rows=True`` omits the ``system_prompt`` blob."""
return self._get_session_rich_rows_batch(
[session_id], compact_rows=compact_rows
).get(session_id)
def _get_session_rich_rows_batch(
self, session_ids, compact_rows: bool = False
) -> Dict[str, Dict[str, Any]]:
"""Enriched rows for many sessions in one query, keyed by id; missing
ids are simply absent. Resolves a page of compression tips in one
round trip instead of one query per root row.
"""
ids = [sid for sid in session_ids if sid]
if not ids:
return {}
# Old SQLite caps bound variables at 999 (SQLITE_MAX_VARIABLE_NUMBER);
# limit=10000 callers exist. Chunk here — the single choke point.
_CHUNK = 900
if len(ids) > _CHUNK:
result: Dict[str, Dict[str, Any]] = {}
for start in range(0, len(ids), _CHUNK):
result.update(
self._get_session_rich_rows_batch(
ids[start:start + _CHUNK], compact_rows=compact_rows
)
)
return result
# Same read-your-writes guarantee as list_sessions_rich.
self.flush_token_counts()
_sel = self._compact_session_cols() if compact_rows else "s.*"
placeholders = ",".join("?" for _ in ids)
prompt_select = (
"" if compact_rows
else ", COALESCE(sp.prompt, s.system_prompt) AS _system_prompt_resolved"
)
prompt_join = (
"" if compact_rows
else "LEFT JOIN system_prompts sp ON sp.hash = s.system_prompt_hash"
)
query = f"""
SELECT {_sel}{prompt_select},
{_PREVIEW_RAW_SUBQUERY_SQL},
{_sql_session_last_active("s")} AS last_active
FROM sessions s
{prompt_join}
WHERE s.id IN ({placeholders})
"""
with self._lock:
rows = self._conn.execute(query, ids).fetchall()
return {s["id"]: s for s in map(self._rich_row, rows)}
def get_session_rich_row(self, session_id: str, compact_rows: bool = False) -> Optional[Dict[str, Any]]:
"""Public wrapper for :meth:`_get_session_rich_row` (web server hydration)."""
return self._get_session_rich_row(session_id, compact_rows=compact_rows)
def list_skill_scaffolded_sessions(self, limit: int = 200) -> List[Dict[str, Any]]:
"""Titled sessions whose first user turn was a ``/skill`` invocation.
Their titles were generated from the expanded skill body, so they
describe the skill, not the request. Returns ``id``, ``title`` and the
first-turn ``content`` so callers can re-derive what was typed. Newest first.
"""
with self._lock:
rows = self._conn.execute(
"""
SELECT s.id, s.title, m.content
FROM sessions s
JOIN messages m ON m.id = (
SELECT m2.id FROM messages m2
WHERE m2.session_id = s.id AND m2.role = 'user'
AND m2.content IS NOT NULL
ORDER BY m2.timestamp, m2.id LIMIT 1
)
WHERE s.title IS NOT NULL AND m.content LIKE ?
ORDER BY s.started_at DESC
LIMIT ?
""",
(SKILL_SCAFFOLD_SQL_LIKE, int(limit)),
).fetchall()
return [dict(row) for row in rows]
def export_session(self, session_id: str) -> Optional[Dict[str, Any]]:
"""Export a single session with all its messages as a dict."""
session = self.get_session(session_id)
if not session:
return None
return {**session, "messages": self.get_messages(session_id)}
def export_session_lineage(self, session_id: str) -> Optional[Dict[str, Any]]:
"""Export a compression lineage as one logical session dict."""
lineage_ids = self.get_compression_lineage(session_id)
if not lineage_ids:
return None
segments = [seg for seg in map(self.export_session, lineage_ids) if seg]
if not segments:
return None
messages = [msg for seg in segments for msg in (seg.get("messages") or [])]
return {
**segments[-1],
"segments": segments,
"lineage_session_ids": [seg["id"] for seg in segments],
"message_count": len(messages),
"messages": messages,
}
def export_all(self, source: str = None) -> List[Dict[str, Any]]:
"""Export all sessions (with messages) as dicts, e.g. for JSONL backup."""
return [
{**session, "messages": self.get_messages(session["id"])}
for session in self.search_sessions(source=source, limit=100000)
]
def adopt_session_lineage_from(
self,
donor_db: Any, # a full SessionDB (mixin cannot import it — cycle)
session_id: str,
*,
retire_donor: bool = True,
) -> Dict[str, Any]:
"""Adopt *session_id*'s full compression lineage from *donor_db*.
Stranded-bot-session heal: before the desktop routed session RPCs by
target session, a profile bot's rows accumulated in the DEFAULT
profile's state.db; this moves the conversation to where routing now
looks. Pure composition: ``donor_db.export_session_lineage()`` ->
``self.import_sessions()`` — routing/handoff/activity fields reset,
already-present ids skipped (idempotent re-adoption).
With ``retire_donor`` and a complete adoption, donor rows are ARCHIVED
(never deleted) with ``end_reason='adopted_by_profile'``. That
end_reason is deliberately NOT in the recoverable set
(agent_close/ws_orphan_reap): resurrection must not undo an adoption.
Returns the ``import_sessions`` dict plus ``adopted`` and
``donor_retired`` (True only when EVERY segment's retirement applied).
"""
payload = donor_db.export_session_lineage(session_id)
if not payload:
return {
"ok": False, "adopted": False, "donor_retired": False,
"error": f"session {session_id!r} not found in donor store",
}
segments = payload.get("segments") or [payload]
# Divergence guard: a segment we will SKIP (already here) may have kept
# growing in the donor after a partial adoption; retiring it would strand
# those messages behind a non-recoverable archive. Still import, but
# refuse to retire when the donor is ahead.
donor_ahead = False
for seg in segments:
seg_id = seg.get("id")
if not seg_id or self.get_session(seg_id) is None:
continue
donor_count = len(seg.get("messages") or [])
local_count = len(self.get_messages(seg_id))
if donor_count > local_count:
donor_ahead = True
logger.warning(
"adoption divergence: donor segment %s has %d messages, "
"local copy has %d — donor will NOT be retired",
seg_id, donor_count, local_count,
)
result = self.import_sessions([dict(seg) for seg in segments])
imported = int(result.get("imported") or 0)
skipped = int(result.get("skipped") or 0)
adopted = result.get("ok", False) and (imported + skipped) == len(segments)
if not adopted:
logger.warning(
"adoption of %s did not complete: imported=%s skipped=%s "
"of %s segment(s); errors=%s",
session_id, imported, skipped, len(segments),
result.get("errors"),
)
donor_retired = False
if adopted and retire_donor and not donor_ahead:
retire_ok = True
for seg in segments:
seg_id = seg.get("id")
if not seg_id:
continue
try:
# TOCTOU close-out: the guard above used EXPORT-TIME counts;
# re-read both stores right before stamping so donor growth
# never lands behind a non-recoverable archive. (Equal-count
# CONTENT divergence is accepted: bytes stay in the donor
# either way, only reachability differs.)
donor_now = len(donor_db.get_messages(seg_id))
local_now = len(self.get_messages(seg_id))
if donor_now > local_now:
retire_ok = False
logger.warning(
"adoption divergence at retire time: donor "
"segment %s grew to %d messages (local %d) — "
"leaving donor unretired",
seg_id, donor_now, local_now,
)
continue
# First end_reason wins in end_session(); reopen so the
# adoption boundary is stamped even on ended segments.
donor_db.reopen_session(seg_id)
donor_db.end_session(seg_id, "adopted_by_profile")
donor_db.set_session_archived(seg_id, True)
except Exception:
# Best-effort: a retirement failure must not fail the adoption
# (a later resume retries idempotently) — but never claim
# success we didn't have.
retire_ok = False
logger.warning(
"failed to retire donor segment %s after adoption",
seg_id, exc_info=True,
)
donor_retired = retire_ok
return {**result, "adopted": adopted, "donor_retired": donor_retired}
@staticmethod
def _import_text_or_none(value: Any, field: str) -> Optional[str]:
if value is None:
return None
if isinstance(value, str):
return value
raise ValueError(f"{field} must be a string")
@staticmethod
def _import_json_object_or_none(value: Any, field: str) -> Optional[str]:
if value is None:
return None
if isinstance(value, str):
try:
parsed = json.loads(value)
except json.JSONDecodeError as exc:
raise ValueError(f"{field} must be valid JSON") from exc
if not isinstance(parsed, dict):
raise ValueError(f"{field} must be a JSON object")
return value
if not isinstance(value, dict):
raise ValueError(f"{field} must be a JSON object")
try:
return json.dumps(value)
except (TypeError, ValueError) as exc:
raise ValueError(f"{field} must be JSON serializable") from exc
@staticmethod
def _float_or_none(value: Any) -> Optional[float]:
if value is None:
return None
try:
return float(value)
except (TypeError, ValueError):
return None
@staticmethod
def _import_int_or_none(value: Any, field: str) -> Optional[int]:
if value is None:
return None
try:
return int(value)
except (TypeError, ValueError) as exc:
raise ValueError(f"{field} must be an integer") from exc
@staticmethod
def _int_or_default(value: Any, default: int = 0) -> int:
if value is None:
return default
try:
return int(value)
except (TypeError, ValueError):
return default
@staticmethod
def _reasoning_json_value(value: Any) -> Any:
if not isinstance(value, str):
return value
try:
return json.loads(value)
except (json.JSONDecodeError, TypeError):
return value
@staticmethod
def _import_error(index: int, session_id: str, error: str) -> Dict[str, Any]:
item: Dict[str, Any] = {"index": index, "error": error}
if session_id:
item["session_id"] = session_id
return item
def import_sessions(self, sessions: List[Dict[str, Any]]) -> Dict[str, Any]:
"""Import sessions exported by :meth:`export_session` or ``export_all``.
Existing ids are skipped. A child keeps its parent only when the parent
exists or is in the same payload; otherwise it is detached so partial
imports pass FK validation. Gateway routing, handoff, rewind and other
live runtime state are reset: this restores history, not ownership of
a live channel or process.
Activity contract: export INCLUDES ``last_activity_*`` (durable row
fields) but import RESETS them to NULL — resurrecting a stale
"working ..." label would fabricate activity the watchdog and listings
act on. Intentional asymmetry, pinned by regression test.
"""
if not isinstance(sessions, list):
raise ValueError("sessions must be a list")
if len(sessions) > self._IMPORT_MAX_SESSIONS:
raise ValueError(
f"sessions must contain at most {self._IMPORT_MAX_SESSIONS} entries"
)
normalized: List[Dict[str, Any]] = []
errors: List[Dict[str, Any]] = []
seen_ids: set[str] = set()
total_messages = 0
total_bytes = 0
session_text_fields = (
"source", "user_id", "model", "system_prompt", "end_reason", "cwd",
"git_branch", "git_repo_root", "billing_provider", "billing_base_url",
"billing_mode", "cost_status", "cost_source", "pricing_version", "title",
)
# ``role`` is validated separately below (non-empty string).
message_text_fields = (
"tool_call_id", "tool_name", "effect_disposition", "finish_reason",
"reasoning", "reasoning_content", "platform_message_id", "message_id",
)
for index, raw in enumerate(sessions):
if not isinstance(raw, dict):
errors.append(self._import_error(index, "", "session must be an object"))
continue
session_id = str(raw.get("id") or "").strip()
if not session_id:
errors.append(self._import_error(index, "", "session id is required"))
continue
if session_id in seen_ids:
errors.append(self._import_error(index, session_id, "duplicate session id"))
continue
messages = raw.get("messages") or []
if not isinstance(messages, list):
errors.append(self._import_error(index, session_id, "messages must be a list"))
continue
if len(messages) > self._IMPORT_MAX_MESSAGES_PER_SESSION:
errors.append(self._import_error(index, session_id, "messages exceeds the per-session import limit"))
continue
if any(not isinstance(msg, dict) for msg in messages):
errors.append(self._import_error(index, session_id, "messages must contain only objects"))
continue
try:
session_bytes = len(json.dumps(raw, ensure_ascii=False, separators=(",", ":")).encode("utf-8"))
except (TypeError, ValueError):
errors.append(self._import_error(index, session_id, "session must be JSON serializable"))
continue
if session_bytes > self._IMPORT_MAX_SESSION_BYTES:
errors.append(self._import_error(index, session_id, "session exceeds the import size limit"))
continue
total_bytes += session_bytes
if total_bytes > self._IMPORT_MAX_TOTAL_BYTES:
errors.append(self._import_error(index, session_id, "import exceeds the total size limit"))
continue
try:
clean_session = dict(raw)
clean_session["id"] = session_id
clean_session["model_config"] = self._import_json_object_or_none(
clean_session.get("model_config"), "model_config"
)
clean_session["parent_session_id"] = self._import_text_or_none(
clean_session.get("parent_session_id"), "parent_session_id"
)
for field in session_text_fields:
clean_session[field] = self._import_text_or_none(
clean_session.get(field), field
)
clean_messages: List[Dict[str, Any]] = []
for message_index, message in enumerate(messages):
clean_message = dict(message)
role = clean_message.get("role")
if not isinstance(role, str) or not role:
raise ValueError(f"messages[{message_index}].role must be a non-empty string")
for field in message_text_fields:
clean_message[field] = self._import_text_or_none(
clean_message.get(field), field
)
clean_message["token_count"] = self._import_int_or_none(
clean_message.get("token_count"), "token_count"
)
clean_messages.append(clean_message)
except ValueError as exc:
errors.append(self._import_error(index, session_id, str(exc)))
continue
total_messages += len(clean_messages)
if total_messages > self._IMPORT_MAX_TOTAL_MESSAGES:
errors.append(self._import_error(index, session_id, "messages exceeds the total import limit"))
continue
seen_ids.add(session_id)
normalized.append(
{"index": index, "session": clean_session, "messages": clean_messages}
)
if errors:
return {"ok": False, "imported": 0, "skipped": 0, "detached": 0, "errors": errors}
def _do(conn):
imported_ids: List[str] = []
skipped_ids: List[str] = []
parent_updates: List[tuple[str, str]] = []
detached = 0
for item in normalized:
raw = item["session"]
messages = item["messages"]
session_id = str(raw.get("id") or "").strip()
exists = conn.execute(
"SELECT 1 FROM sessions WHERE id = ? LIMIT 1",
(session_id,),
).fetchone()
if exists:
skipped_ids.append(session_id)
continue
started_at = self._float_or_none(raw.get("started_at"))
if started_at is None:
started_at = time.time()
archived = 1 if raw.get("archived") else 0
system_prompt_hash = self._store_system_prompt(
conn, raw.get("system_prompt")
)
conn.execute(
"""INSERT INTO sessions (
id, source, user_id, model, model_config, system_prompt,
system_prompt_hash,
parent_session_id, started_at, ended_at, end_reason,
message_count, tool_call_count, input_tokens, output_tokens,
cache_read_tokens, cache_write_tokens, reasoning_tokens,
cwd, git_branch, git_repo_root,
billing_provider, billing_base_url, billing_mode,
estimated_cost_usd, actual_cost_usd, cost_status, cost_source,
pricing_version, title, api_call_count, archived
)
VALUES (
:id, :source, :user_id, :model, :model_config,
NULL, :system_prompt_hash, NULL, :started_at, :ended_at,
:end_reason, 0, 0, :input_tokens, :output_tokens,
:cache_read_tokens, :cache_write_tokens,
:reasoning_tokens, :cwd, :git_branch, :git_repo_root,
:billing_provider, :billing_base_url, :billing_mode,
:estimated_cost_usd, :actual_cost_usd, :cost_status,
:cost_source, :pricing_version, :title,
:api_call_count, :archived
)""",
{
"id": session_id,
"source": str(raw.get("source") or "import"),
"user_id": raw.get("user_id"),
"model": raw.get("model"),
"model_config": raw.get("model_config"),
"system_prompt_hash": system_prompt_hash,
"started_at": started_at,
"ended_at": self._float_or_none(raw.get("ended_at")),
"end_reason": raw.get("end_reason"),
"input_tokens": self._int_or_default(raw.get("input_tokens")),
"output_tokens": self._int_or_default(raw.get("output_tokens")),
"cache_read_tokens": self._int_or_default(raw.get("cache_read_tokens")),
"cache_write_tokens": self._int_or_default(raw.get("cache_write_tokens")),
"reasoning_tokens": self._int_or_default(raw.get("reasoning_tokens")),
"cwd": raw.get("cwd"),
"git_branch": raw.get("git_branch"),
"git_repo_root": raw.get("git_repo_root"),
"billing_provider": raw.get("billing_provider"),
"billing_base_url": raw.get("billing_base_url"),
"billing_mode": raw.get("billing_mode"),
"estimated_cost_usd": self._float_or_none(raw.get("estimated_cost_usd")),
"actual_cost_usd": self._float_or_none(raw.get("actual_cost_usd")),
"cost_status": raw.get("cost_status"),
"cost_source": raw.get("cost_source"),
"pricing_version": raw.get("pricing_version"),
"title": raw.get("title"),
"api_call_count": self._int_or_default(raw.get("api_call_count")),
"archived": archived,
},
)
sanitized_messages: List[Dict[str, Any]] = []
for msg in messages:
clean = dict(msg)
for key in ("reasoning_details", "codex_reasoning_items", "codex_message_items"):
clean[key] = self._reasoning_json_value(clean.get(key))
sanitized_messages.append(clean)
total_messages, total_tool_calls = self._insert_message_rows(
conn, session_id, sanitized_messages
)
conn.execute(
"UPDATE sessions SET message_count = ?, tool_call_count = ? WHERE id = ?",
(total_messages, total_tool_calls, session_id),
)
parent_id = str(raw.get("parent_session_id") or "").strip()
if parent_id:
parent_updates.append((session_id, parent_id))
imported_ids.append(session_id)
parent_by_child = dict(parent_updates)
def _would_create_cycle(session_id: str, parent_id: str) -> bool:
seen = {session_id}
current = parent_id
while current:
if current in seen:
return True
seen.add(current)
if current in parent_by_child:
current = parent_by_child[current]
continue
row = conn.execute(
"SELECT parent_session_id FROM sessions WHERE id = ? LIMIT 1",
(current,),
).fetchone()
if row is None:
return False
current = row["parent_session_id"]
return False
for session_id, parent_id in parent_updates:
parent_exists = conn.execute(
"SELECT 1 FROM sessions WHERE id = ? LIMIT 1",
(parent_id,),
).fetchone()
if parent_exists and not _would_create_cycle(session_id, parent_id):
conn.execute(
"UPDATE sessions SET parent_session_id = ? WHERE id = ?",
(parent_id, session_id),
)
else:
# Drop only the closing edge; later entries can still attach
# to this now-root session.
parent_by_child.pop(session_id, None)
detached += 1
return {
"ok": True,
"imported": len(imported_ids),
"skipped": len(skipped_ids),
"detached": detached,
"imported_ids": imported_ids,
"skipped_ids": skipped_ids,
"errors": [],
}
return self._execute_write(_do)