agnes-the-ai-analyst/services/session_pipeline/lib.py
minasarustamyan e26236fdc1
Extract session-pipeline framework + UsageProcessor skeleton (#232)
* Extract session pipeline framework, refactor verification, add UsageProcessor skeleton

Pluggable framework under services/session_pipeline/ (contract + lib + per-processor
runner) so multiple processors can read /data/user_sessions/<key>/*.jsonl on their
own cadence with full failure isolation. Verification flow becomes the first plugin;
a no-op UsageProcessor reserves the second slot pending a separate brainstorm on
extraction logic + storage shape.

Schema v28→v29: rename session_extraction_state → session_processor_state with
composite PK (processor_name, session_file). Existing rows copied over with
processor_name='verification'; legacy table dropped. Migration is idempotent and
no-ops the copy step on fresh installs that came up at the new schema.

Endpoint: /api/admin/run-verification-detector replaced by parametrized
/api/admin/run-session-processor?processor=<name>. Audit action format follows.
Scheduler JOBS: verification-detector entry split into session-processor:verification
+ session-processor:usage. SCHEDULER_VERIFICATION_DETECTOR_INTERVAL retained for
operator compatibility (drives both cadence and health-check grace window);
SCHEDULER_USAGE_PROCESSOR_INTERVAL added.

* Address PR #232 review: scan dead branch + per-processor lock

- `SessionProcessorStateRepository.scan_unprocessed_for` dead else: both
  branches surfaced every jsonl, the SELECT was unused, runner MD5-rehashed
  every stable session per tick. Replaced with an mtime precheck — stable
  sessions (mtime <= processed_at) are filtered at scan; modified files
  still surface for the runner's authoritative `file_hash` invalidation.
  Naive-local comparison matches the existing health-check idiom (DuckDB
  TIMESTAMP strips tz on storage).

- Per-processor advisory lock around `_run_processor` in
  `/api/admin/run-session-processor`. Scheduler tick + manual admin POST
  could otherwise both run, both call create_evidence on overlapping
  detections, and accumulate duplicate verification_evidence rows (the
  dedup short-circuit only covers create+contradiction, not evidence per
  ADR Decision 3). Non-blocking acquire → 409 Conflict on concurrent
  invocation; release in finally so a runner exception doesn't wedge the
  processor.

Tests: two new scan unit tests (mtime filter + post-mark mtime bump), 409
endpoint test, lock-released-on-exception test. Two existing tests updated
for the new "filtered at scan" stat shape (previously asserted skipped == 1,
now scanned == 0).

* Address PR #232 review #2: parallel scheduler tick + last_run on terminal state

Two pre-existing scaffold bugs in services/scheduler/__main__.py amplified
by adding more session-pipeline jobs:

1. Serial for-loop over jobs with synchronous httpx.post(timeout=900) — a
   10-minute verification run blocked every other job (data-refresh,
   health-check, usage, corporate-memory) for the whole window. The PR's
   stated isolation guarantee held inside the runner but broke at the
   scheduler dispatch layer.

2. last_run advanced only when _call_api returned True. Permanent-failure
   jobs hot-looped on every tick (30s) instead of cadence (15min).

Fix: ThreadPoolExecutor.submit per due job + per-job in_flight set so a
long-running job can't be re-launched on subsequent ticks. last_run
advances unconditionally in finally; errors still surface via _call_api
logging + audit_log on the receiving side.

_run_job extracted to module-level for unit testing. New tests:
- TestRunJobBookkeeping: advances on success / failure / unhandled raise
- TestRunLoopParallelism: in_flight protection prevents duplicate
  launches across ticks for a single slow job

---------

Co-authored-by: Minas Arustamyan <arustamyan.minas@gmail.com>
2026-05-08 19:47:46 +02:00

40 lines
1.3 KiB
Python

"""Pure utilities used by the runner and individual processors. No DB, no
side effects beyond logging."""
from __future__ import annotations
import hashlib
import json
import logging
from pathlib import Path
logger = logging.getLogger(__name__)
def parse_jsonl(path: Path) -> list[dict]:
"""Parse a Claude Code session jsonl into a list of event dicts.
Malformed lines are logged and skipped — a single corrupt row mustn't
abort processing of the rest of the session. Lifted verbatim from the
pre-refactor verification_detector.detector.parse_session so the
behavior is identical."""
turns: list[dict] = []
with open(path) as f:
for line in f:
line = line.strip()
if line:
try:
turns.append(json.loads(line))
except json.JSONDecodeError:
logger.warning("Skipping malformed JSONL line in %s", path)
return turns
def compute_file_hash(path: Path) -> str:
"""MD5 of the file content. Used to invalidate session_processor_state
rows when a jsonl grows (Claude Code appending to an active session)."""
h = hashlib.md5()
with open(path, "rb") as f:
for chunk in iter(lambda: f.read(8192), b""):
h.update(chunk)
return h.hexdigest()