Files
Cortex-Inara/cortex/scheduler.py
Scott Idem 0ffcd57c95 fix: multi-user distillation + datetime in context + session log labels
Distillation was silently operating on scott/inara for all users due to
ContextVar defaults. All three distill endpoints now require ?user=&persona=
query params and validate them via persona.validate(). Memory distiller
signatures changed from Optional to required positional args — no more
global settings fallback. Scheduler now iterates all users/personas instead
of hardcoding the primary user.

- context_loader: inject current date/time as first system prompt section
- session_logger: use get_user()/get_persona() from context instead of
  settings globals so Holly/Brian sessions show correct speaker labels
- memory_distiller: system prompts now reference u.title()/p.title()
  instead of settings.user_name/settings.agent_name
- distill router: Query(...) enforces params; _resolve() validates persona
- scheduler: _all_personas() helper iterates every user/persona for distill
- app.js: runDistill() now appends ?user=&persona= via _fileParams

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-05 18:44:51 -04:00

161 lines
5.9 KiB
Python

"""
Auto memory distillation scheduler.
Default schedule (all overridable via .env flags):
short — daily at 03:00 (no LLM — fast)
mid — weekly Sun at 03:30 (LLM call)
long — monthly 1st at 04:00 (LLM call — off by default)
Set AUTO_DISTILL=false to disable entirely.
Set AUTO_DISTILL_LONG=true to enable monthly long-term integration.
"""
import logging
from zoneinfo import ZoneInfo
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from config import settings
logger = logging.getLogger(__name__)
_scheduler: AsyncIOScheduler | None = None
def _all_personas() -> list[tuple[str, str]]:
"""Return [(username, persona_name)] for every persona on this instance."""
from persona import list_users, list_user_personas
pairs = []
for u in list_users():
for p in list_user_personas(u):
pairs.append((u, p))
return pairs
async def _run_short() -> None:
from memory_distiller import distill_short
for u, p in _all_personas():
try:
result = distill_short(u, p)
logger.info("auto distill short [%s/%s]: %d files, %d chars", u, p, result["files_included"], result["chars_written"])
except Exception as e:
logger.error("auto distill short [%s/%s] failed: %s", u, p, e)
async def _run_mid() -> None:
from memory_distiller import distill_mid
from notification import notify
for u, p in _all_personas():
try:
result = await distill_mid(u, p)
if "error" in result:
logger.warning("auto distill mid [%s/%s] skipped: %s", u, p, result["error"])
else:
logger.info("auto distill mid [%s/%s]: %d chars via %s", u, p, result["chars_written"], result["backend"])
await notify(u, f"📝 Weekly memory digest complete ({result['chars_written']} chars via {result['backend']}).")
except Exception as e:
logger.error("auto distill mid [%s/%s] failed: %s", u, p, e)
async def _run_long() -> None:
from memory_distiller import distill_long
from notification import notify
for u, p in _all_personas():
try:
result = await distill_long(u, p)
if "error" in result:
logger.warning("auto distill long [%s/%s] skipped: %s", u, p, result["error"])
else:
logger.info("auto distill long [%s/%s]: %d chars via %s", u, p, result["chars_written"], result["backend"])
await notify(u, f"🧠 Monthly long-term memory integration complete ({result['chars_written']} chars via {result['backend']}). Worth a quick review.")
except Exception as e:
logger.error("auto distill long [%s/%s] failed: %s", u, p, e)
def get_scheduler() -> AsyncIOScheduler | None:
"""Return the running scheduler instance (used by cron tools for live add/remove)."""
return _scheduler
def start() -> None:
global _scheduler
_scheduler = AsyncIOScheduler(timezone=ZoneInfo(settings.scheduler_timezone))
if not settings.auto_distill:
logger.info("auto distillation disabled (AUTO_DISTILL=false)")
if settings.auto_distill_short:
_scheduler.add_job(_run_short, "cron", hour=3, minute=0, id="distill_short")
logger.info("scheduled: distill_short daily at 03:00")
if settings.auto_distill_mid:
_scheduler.add_job(_run_mid, "cron", day_of_week="sun", hour=3, minute=30, id="distill_mid")
logger.info("scheduled: distill_mid weekly Sun at 03:30")
if settings.auto_distill_long:
_scheduler.add_job(_run_long, "cron", day=1, hour=4, minute=0, id="distill_long")
logger.info("scheduled: distill_long monthly on 1st at 04:00")
# Load user-defined cron jobs from CRONS.json
_load_user_crons()
_scheduler.start()
logger.info("scheduler started (%d jobs)", len(_scheduler.get_jobs()))
def _load_user_crons() -> None:
"""Register all enabled user-defined cron jobs across all users and personas."""
import asyncio
try:
from cron_runner import load_crons, parse_schedule, run_job
from persona import list_users, list_user_personas
except ImportError as e:
logger.warning("could not import cron modules: %s", e)
return
total = 0
persona_count = 0
for username in list_users():
for persona_name in list_user_personas(username):
persona_count += 1
for job in load_crons(username, persona_name):
if not job.get("enabled", True):
continue
# Ensure user + persona are stamped on the job for run_job() path resolution
job.setdefault("user", username)
job.setdefault("persona", persona_name)
try:
kwargs = parse_schedule(job["schedule"])
sched_id = f"{username}:{persona_name}:{job['id']}"
_scheduler.add_job(
lambda j=job: asyncio.ensure_future(run_job(j)),
"cron",
id=sched_id,
replace_existing=True,
**kwargs,
)
total += 1
except Exception as e:
logger.warning("cron %s/%s/%s skipped: %s", username, persona_name, job.get("id"), e)
if total:
logger.info("loaded %d user cron job(s) across %d persona(s)", total, persona_count)
def stop() -> None:
global _scheduler
if _scheduler and _scheduler.running:
_scheduler.shutdown(wait=False)
logger.info("auto distillation scheduler stopped")
def status() -> list[dict]:
"""Return next-run info for all scheduled jobs."""
if not _scheduler or not _scheduler.running:
return []
jobs = []
for job in _scheduler.get_jobs():
next_run = job.next_run_time
jobs.append({
"id": job.id,
"next_run": next_run.isoformat() if next_run else None,
})
return jobs