Files
ATOCore/deploy/dalidou/batch-extract.sh
Anto01 86637f8eee feat: universal LLM consumption (Phase 1 complete)
Completes the Phase 1 master brain keystone: every LLM interaction
across the ecosystem now pulls context from AtoCore automatically.

Three adapters, one HTTP backend:

1. OpenClaw plugin pull (handler.js):
   - Added before_prompt_build hook that calls /context/build and
     injects the pack via prependContext
   - Existing capture hooks (before_agent_start + llm_output)
     unchanged
   - 6s context timeout, fail-open on AtoCore unreachable
   - Deployed to T420, gateway restarted, "7 plugins loaded"

2. atocore-proxy (scripts/atocore_proxy.py):
   - Stdlib-only OpenAI-compatible HTTP middleware
   - Drop-in layer for Codex, Ollama, LiteLLM, any OpenAI-compat client
   - Intercepts /chat/completions: extracts query, pulls context,
     injects as system message, forwards to upstream, captures back
   - Fail-open: AtoCore down = passthrough without injection
   - Configurable via env: UPSTREAM, PORT, CLIENT_LABEL, INJECT, CAPTURE

3. (from prior commit c49363f) atocore-mcp:
   - stdio MCP server, stdlib Python, 7 tools exposed
   - Registered in Claude Code: "✓ Connected"

Plus quick win:
- Project synthesis moved from Sunday-only to daily cron so wiki /
  mirror pages stay fresh (Step C in batch-extract.sh). Lint stays
  weekly.

Plus docs:
- docs/universal-consumption.md: configuration guide for all 3 adapters
  with registration/env-var tables and verification checklist

Plus housekeeping:
- .gitignore: add .mypy_cache/

Tests: 303/303 passing.

This closes the consumption gap: the reinforcement feedback loop
can now actually work (memories get injected → get referenced →
reinforcement fires → auto-promotion). Every Claude, OpenClaw,
Codex, or Ollama session is automatically AtoCore-grounded.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 20:14:25 -04:00

154 lines
4.7 KiB
Bash

#!/usr/bin/env bash
#
# deploy/dalidou/batch-extract.sh
# --------------------------------
# Host-side LLM batch extraction for Dalidou.
#
# The claude CLI is available on the Dalidou HOST but NOT inside the
# Docker container. This script runs on the host, fetches recent
# interactions from the AtoCore API, runs the LLM extractor locally
# (claude -p sonnet), and posts candidates back to the API.
#
# Intended to be called from cron-backup.sh after backup/cleanup/rsync,
# or manually via:
#
# bash /srv/storage/atocore/app/deploy/dalidou/batch-extract.sh
#
# Environment variables:
# ATOCORE_URL default http://127.0.0.1:8100
# ATOCORE_EXTRACT_LIMIT default 50
set -euo pipefail
ATOCORE_URL="${ATOCORE_URL:-http://127.0.0.1:8100}"
LIMIT="${ATOCORE_EXTRACT_LIMIT:-50}"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
APP_DIR="$(cd "$SCRIPT_DIR/../.." && pwd)"
TIMESTAMP="$(date -u +%Y-%m-%dT%H:%M:%SZ)"
log() { printf '[%s] %s\n' "$TIMESTAMP" "$*"; }
# The Python script needs the atocore source on PYTHONPATH
export PYTHONPATH="$APP_DIR/src:${PYTHONPATH:-}"
log "=== AtoCore batch extraction + triage starting ==="
log "URL=$ATOCORE_URL LIMIT=$LIMIT"
# --- Pipeline stats accumulator ---
EXTRACT_OUT=""
TRIAGE_OUT=""
HARNESS_OUT=""
# Step A: Extract candidates from recent interactions
log "Step A: LLM extraction"
EXTRACT_OUT=$(python3 "$APP_DIR/scripts/batch_llm_extract_live.py" \
--base-url "$ATOCORE_URL" \
--limit "$LIMIT" \
2>&1) || {
log "WARN: batch extraction failed (non-blocking)"
}
echo "$EXTRACT_OUT"
# Step B: Auto-triage candidates in the queue
log "Step B: auto-triage"
TRIAGE_OUT=$(python3 "$APP_DIR/scripts/auto_triage.py" \
--base-url "$ATOCORE_URL" \
2>&1) || {
log "WARN: auto-triage failed (non-blocking)"
}
echo "$TRIAGE_OUT"
# Step B2: Auto-promote reinforced candidates + expire stale ones
log "Step B2: auto-promote + expire"
python3 "$APP_DIR/scripts/auto_promote_reinforced.py" \
2>&1 || {
log "WARN: auto-promote/expire failed (non-blocking)"
}
# Step C: Daily project synthesis (keeps wiki/mirror pages fresh)
log "Step C: project synthesis (daily)"
python3 "$APP_DIR/scripts/synthesize_projects.py" \
--base-url "$ATOCORE_URL" \
2>&1 || {
log "WARN: synthesis failed (non-blocking)"
}
# Step D: Weekly lint pass (Sundays only — heavier, not needed daily)
if [[ "$(date -u +%u)" == "7" ]]; then
log "Step D: weekly lint pass"
python3 "$APP_DIR/scripts/lint_knowledge_base.py" \
--base-url "$ATOCORE_URL" \
2>&1 || true
fi
# Step E: Retrieval harness (daily)
log "Step E: retrieval harness"
HARNESS_OUT=$(python3 "$APP_DIR/scripts/retrieval_eval.py" \
--json \
--base-url "$ATOCORE_URL" \
2>&1) || {
log "WARN: retrieval harness failed (non-blocking)"
}
echo "$HARNESS_OUT"
# Step F: Persist pipeline summary to project state
log "Step F: pipeline summary"
python3 -c "
import json, urllib.request, re, sys
base = '$ATOCORE_URL'
ts = '$TIMESTAMP'
def post_state(key, value):
body = json.dumps({
'project': 'atocore', 'category': 'status',
'key': key, 'value': value, 'source': 'nightly pipeline',
}).encode()
req = urllib.request.Request(
f'{base}/project/state', data=body,
headers={'Content-Type': 'application/json'}, method='POST',
)
try:
urllib.request.urlopen(req, timeout=10)
except Exception as e:
print(f'WARN: failed to persist {key}: {e}', file=sys.stderr)
# Parse harness JSON
harness = {}
try:
harness = json.loads('''$HARNESS_OUT''')
post_state('retrieval_harness_result', json.dumps({
'passed': harness.get('passed', 0),
'total': harness.get('total', 0),
'failures': [f['name'] for f in harness.get('fixtures', []) if not f.get('ok')],
'run_at': ts,
}))
p, t = harness.get('passed', '?'), harness.get('total', '?')
print(f'Harness: {p}/{t}')
except Exception:
print('WARN: could not parse harness output')
# Parse triage counts from stdout
triage_out = '''$TRIAGE_OUT'''
promoted = len(re.findall(r'promoted', triage_out, re.IGNORECASE))
rejected = len(re.findall(r'rejected', triage_out, re.IGNORECASE))
needs_human = len(re.findall(r'needs.human', triage_out, re.IGNORECASE))
# Build summary
summary = {
'run_at': ts,
'harness_passed': harness.get('passed', -1),
'harness_total': harness.get('total', -1),
'triage_promoted': promoted,
'triage_rejected': rejected,
'triage_needs_human': needs_human,
}
post_state('pipeline_last_run', ts)
post_state('pipeline_summary', json.dumps(summary))
print(f'Pipeline summary persisted: {json.dumps(summary)}')
" 2>&1 || {
log "WARN: pipeline summary persistence failed (non-blocking)"
}
log "=== AtoCore batch extraction + triage complete ==="