feat(harvester,jobs): fast gateway harvesting, parallel thread polling, dynamic sidechat spawning
- Implement muse_hybrid fast gateway in response-harvester.py with ThreadPoolExecutor - Reduce harvest cycle time from ~1m50s to ~18s; eliminate browser tab-hopping and CDP lock contention - Add smart active thread filtering in get_monitored_threads to prune dead historical test pipes - Fix initial watermark ingestion logic so fresh sidechats process first-arrival job responses - Configure gw_wait window in dm.py (20s on reply:expected) so backend generation is not prematurely severed - Update box-http-health, box-service-health, box-deep-health to dynamic timestamped sidechats without reuse_key - Fix heartbeat job to route to dedicated heartbeat channel
This commit is contained in:
@@ -578,7 +578,8 @@ def dm_send(agent, target, message, verify=True, raw=False,
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if is_uuid and recipient in VALID_AGENTS:
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try:
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import muse_hybrid
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gw_res, gw_err = muse_hybrid.send_message(recipient, tagged, thread_id=nav_target, wait=0)
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gw_wait = 20 if tags.get("reply:expected") else 10
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gw_res, gw_err = muse_hybrid.send_message(recipient, tagged, thread_id=nav_target, wait=gw_wait)
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if gw_res and not gw_err:
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thread_uuid = nav_target
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tags["thread"] = thread_uuid
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@@ -635,7 +636,8 @@ def dm_send(agent, target, message, verify=True, raw=False,
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os.replace(tmp_sc, SIDCHAT_MAP_FILE)
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# Send immediately via gateway
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gw_res, gw_err = muse_hybrid.send_message(recipient, tagged, thread_id=matched_uuid, wait=0)
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gw_wait = 20 if tags.get("reply:expected") else 10
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gw_res, gw_err = muse_hybrid.send_message(recipient, tagged, thread_id=matched_uuid, wait=gw_wait)
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if gw_res and not gw_err:
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thread_uuid = matched_uuid
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tags["thread"] = thread_uuid
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+200
-156
@@ -23,6 +23,7 @@ Usage:
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"""
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import argparse
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import concurrent.futures
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import hashlib
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import json
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import os
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@@ -69,6 +70,12 @@ try:
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except ImportError:
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HAS_PIPELINE = False
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try:
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import muse_hybrid
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HAS_MUSE_HYBRID = True
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except ImportError:
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HAS_MUSE_HYBRID = False
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VALID_AGENTS = ["muse", "pip", "646", "opm", "dev", "def"]
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DEFAULT_PORTS = {"muse": 9410, "pip": 9420, "646": 9430, "opm": 9440, "def": 9450, "dev": 9460}
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@@ -161,12 +168,23 @@ def is_fail_result(result_text):
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def get_monitored_threads(target_agent=None):
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"""
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Build dict of threads to monitor per agent:
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{ agent: [ {"id": "main", "name": "main"}, {"id": "<uuid>", "name": "<alias>"} ] }
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{ agent: [ {"id": "<uuid>", "name": "<alias>"} ] }
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Filters to permanent channels, threads with pending followups, or recent threads (< 3h).
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"""
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agents = [target_agent] if target_agent else VALID_AGENTS
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# Sidechats-only: Do not monitor Main Chat to completely eliminate automated Main Chat DOM interaction
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threads_by_agent = {a: [] for a in agents}
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pending_threads = set()
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followups = load_json_file(FOLLOWUPS_FILE)
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for f in followups.values():
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if f.get("status") in ("pending", "acknowledged"):
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tu = f.get("thread_uuid")
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if tu:
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pending_threads.add(tu)
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PERM_KEYWORDS = ("coord", "tasks", "task", "brain", "heartbeat", "sync", "audit", "main-loop")
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now = datetime.now(timezone.utc)
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state_files = [JOB_SIDECHATS_FILE, WAKE_SIDECHATS_FILE]
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for sf in state_files:
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if not sf.exists():
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@@ -176,20 +194,40 @@ def get_monitored_threads(target_agent=None):
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for key, val in data.items():
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if key.startswith("_"):
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continue
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created_at = None
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if isinstance(val, dict):
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uuid = val.get("thread_uuid") or val.get("uuid")
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agent = val.get("agent", "opm")
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created_at = val.get("created_at")
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elif isinstance(val, str):
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uuid = val
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agent = "opm"
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else:
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continue
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if uuid and agent in threads_by_agent:
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# Avoid duplicate threads
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existing = [t["id"] for t in threads_by_agent[agent]]
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if uuid not in existing:
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threads_by_agent[agent].append({"id": uuid, "name": key})
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if not uuid or agent not in threads_by_agent:
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continue
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is_perm = any(k in key.lower() for k in PERM_KEYWORDS)
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is_pending = uuid in pending_threads
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is_recent = False
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if created_at:
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try:
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cat = datetime.fromisoformat(created_at.replace("Z", "+00:00"))
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if (now - cat).total_seconds() < 10800:
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is_recent = True
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except Exception:
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pass
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else:
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if not (key.startswith("pipe-") or key.startswith("test-") or key.startswith("onboarding-")):
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is_recent = True
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if not (is_perm or is_pending or is_recent):
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continue
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existing = [t["id"] for t in threads_by_agent[agent]]
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if uuid not in existing:
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threads_by_agent[agent].append({"id": uuid, "name": key})
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except Exception:
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continue
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@@ -316,32 +354,26 @@ def scrape_thread_messages(cdp, thread_id, watermark, max_scrollbacks=3):
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return messages
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def harvest_main_feed(cdp, agent, watermarks, followups, dry_run=False):
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def process_messages(raw_messages, agent, thread_id, thread_name, last_wm, followups, dry_run=False, feed=None):
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"""
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Dedicated Main Chat harvester function.
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Main Chat has no thread UUID and restoring previous state is expensive.
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Therefore, this function operates opportunistically:
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- If the browser is ALREADY on Main Chat (/thread/ not in URL): scrape directly with ZERO navigation.
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- If the browser is in a sidechat: do NOT navigate or disrupt the sidechat, skip silently.
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Returns (new_messages, new_watermark, job_results_count).
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Standard message processor:
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- Filters for new messages based on watermark
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- Appends records to chat-history.jsonl
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- Detects [RESULT] and [VERB] markers, logging to job-log.jsonl and clearing followups
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- Returns (new_messages, new_watermark, job_results_count)
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"""
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curr_url = cdp.evaluate("window.location.href") or ""
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if "/thread/" in curr_url:
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# Browser is parked in a sidechat; do not disrupt the agent's work or mutate URL
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return [], None, 0
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wm_key = f"{agent}:main"
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last_wm = watermarks.get(wm_key, "")
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# Scrape only current view (max_scrollbacks=0) to prevent virtual DOM layout inflation
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raw_messages = scrape_thread_messages(cdp, "main", last_wm, max_scrollbacks=0)
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if not raw_messages:
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return [], last_wm, 0
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new_messages = []
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if not last_wm:
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new_wm = raw_messages[-1]["id"]
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return [], new_wm, 0
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# If thread has <= 10 messages (e.g. newly spawned job sidechat), process them!
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# Only fast-forward watermark if this is an established thread with a deep backlog.
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if len(raw_messages) <= 10:
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new_messages = raw_messages
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else:
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new_wm = raw_messages[-1]["id"]
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return [], new_wm, 0
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else:
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wm_idx = -1
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for i, m in enumerate(raw_messages):
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@@ -351,6 +383,7 @@ def harvest_main_feed(cdp, agent, watermarks, followups, dry_run=False):
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if wm_idx >= 0:
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new_messages = raw_messages[wm_idx + 1 :]
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else:
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# Watermark not found in loaded window
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new_messages = raw_messages
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if not new_messages:
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@@ -365,134 +398,6 @@ def harvest_main_feed(cdp, agent, watermarks, followups, dry_run=False):
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text = msg.get("text", "")
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msg_ts = msg.get("ts") or utcnow()
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record = {
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"ts": utcnow(),
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"agent": agent,
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"thread_id": "main",
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"thread_name": "Main Chat",
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"msg_id": mid,
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"author": author,
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"text": text,
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"source_ts": msg_ts,
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"feed": "main_chat_passive"
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}
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if not dry_run:
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append_jsonl(CHAT_HISTORY_LOG, record)
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if author == "assistant":
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markers = list(iter_result_markers(text))
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verbs = list(iter_verb_markers(text))
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if markers or verbs:
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for job_id, result_text in markers:
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is_fail = is_fail_result(result_text)
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job_results += 1
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job_record = {
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"ts": utcnow(),
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"type": "job_result",
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"job_id": job_id,
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"agent": agent,
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"success": not is_fail,
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"result_snippet": result_text[:300],
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"thread_id": "main",
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"msg_id": mid,
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}
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if not dry_run:
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append_jsonl(JOB_LOG, job_record)
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trigger_chain_next(job_id, result_text, success=not is_fail)
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clear_matching_followups(followups, agent, "main", mid, text,
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dry_run, job_id=job_id, verb="RESULT")
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for verb, job_id in verbs:
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if verb == "RESULT":
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continue # resolved via the result-marker path above
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clear_matching_followups(followups, agent, "main", mid, text,
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dry_run, job_id=job_id, verb=verb)
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else:
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clear_matching_followups(followups, agent, "main", mid, text, dry_run)
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return new_messages, new_wm, job_results
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def harvest_agent_thread(cdp, agent, thread_info, watermarks, followups, dry_run=False):
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"""
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Harvests new messages for a single thread, preserves URL state,
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and returns (new_messages, new_watermark, job_results_count).
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"""
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thread_id = thread_info["id"]
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thread_name = thread_info["name"]
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wm_key = f"{agent}:{thread_id}"
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last_wm = watermarks.get(wm_key, "")
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# 1. Capture current URL before navigating
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initial_url = cdp.evaluate("window.location.href") or "https://muse.ai/"
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is_init_main = "/thread/" not in initial_url
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# 2. Navigate to target thread if not already there
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try:
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if thread_id == "main":
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if not is_init_main:
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# Dispatch Ctrl+J (modifier 2 = Control)
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cdp.dispatch_key("j", "KeyJ", modifiers=2)
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time.sleep(2.0)
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else:
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target_url = f"https://muse.ai/thread/{thread_id}"
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if initial_url.strip() != target_url:
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cdp.evaluate(f"window.location.href = {json.dumps(target_url)}")
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# Settle wait
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time.sleep(2.5)
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# 3. Scrape messages
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raw_messages = scrape_thread_messages(cdp, thread_id, last_wm)
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finally:
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# 4. State preservation: restore browser back to initial state
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try:
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curr_url = cdp.evaluate("window.location.href") or ""
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if is_init_main:
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if "/thread/" in curr_url:
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cdp.dispatch_key("j", "KeyJ", modifiers=2)
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else:
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if curr_url.strip() != initial_url.strip():
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cdp.evaluate(f"window.location.href = {json.dumps(initial_url)}")
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except Exception:
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pass
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if not raw_messages:
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return [], last_wm, 0
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# 5. Filter for new messages based on watermark
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new_messages = []
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if not last_wm:
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# Initial run on this thread: watermark at current latest message to avoid flooding backlog
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new_wm = raw_messages[-1]["id"]
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return [], new_wm, 0
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else:
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# Find index of last_wm
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wm_idx = -1
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for i, m in enumerate(raw_messages):
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if m["id"] == last_wm:
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wm_idx = i
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break
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if wm_idx >= 0:
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new_messages = raw_messages[wm_idx + 1 :]
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else:
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# Watermark not found in loaded window (older than scroll limit)
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# Process all visible messages that are newer than timestamp or just unread tail
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new_messages = raw_messages
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if not new_messages:
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return [], last_wm, 0
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new_wm = new_messages[-1]["id"]
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job_results = 0
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# 6. Ingest new messages
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for msg in new_messages:
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mid = msg.get("id", "")
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author = msg.get("author", "unknown")
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text = msg.get("text", "")
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msg_ts = msg.get("ts") or utcnow()
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# Append to chat-history.jsonl
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record = {
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"ts": utcnow(),
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"agent": agent,
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@@ -503,6 +408,8 @@ def harvest_agent_thread(cdp, agent, thread_info, watermarks, followups, dry_run
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"text": text,
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"source_ts": msg_ts,
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}
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if feed:
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record["feed"] = feed
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if not dry_run:
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append_jsonl(CHAT_HISTORY_LOG, record)
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@@ -526,13 +433,12 @@ def harvest_agent_thread(cdp, agent, thread_info, watermarks, followups, dry_run
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}
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if not dry_run:
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append_jsonl(JOB_LOG, job_record)
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# Trigger pipeline chaining or next job if configured
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trigger_chain_next(job_id, result_text, success=not is_fail)
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clear_matching_followups(followups, agent, thread_id, mid, text,
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dry_run, job_id=job_id, verb="RESULT")
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for verb, job_id in verbs:
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if verb == "RESULT":
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continue # resolved via the result-marker path above
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continue
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clear_matching_followups(followups, agent, thread_id, mid, text,
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dry_run, job_id=job_id, verb=verb)
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else:
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@@ -541,6 +447,110 @@ def harvest_agent_thread(cdp, agent, thread_info, watermarks, followups, dry_run
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return new_messages, new_wm, job_results
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def harvest_thread_gateway(agent, thread_info, watermarks, followups, dry_run=False):
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"""
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Harvests messages via fast headless gateway (muse_hybrid).
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Zero CDP connections, zero browser page disruption, zero URL hopping.
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"""
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if not HAS_MUSE_HYBRID:
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raise RuntimeError("muse_hybrid module not available")
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thread_id = thread_info["id"]
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thread_name = thread_info["name"]
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wm_key = f"{agent}:{thread_id}"
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last_wm = watermarks.get(wm_key, "")
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hist, err = muse_hybrid.get_history(
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agent,
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thread_id=None if thread_id == "main" else thread_id,
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limit=30
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)
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if err or hist is None:
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if err and ("not_found" in err or "404" in err):
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# Session no longer exists; skip cleanly
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return [], last_wm, 0
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raise RuntimeError(f"muse_hybrid error for {agent}:{thread_id}: {err}")
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raw_messages = []
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for m in hist:
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mid = m.get("message_id") or m.get("id") or ""
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role = m.get("role") or m.get("author") or "unknown"
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text = m.get("text", "")
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raw_messages.append({
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"id": mid,
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"author": role,
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"text": text,
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"ts": m.get("ts") or utcnow(),
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})
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return process_messages(
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raw_messages, agent, thread_id, thread_name, last_wm, followups,
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dry_run=dry_run, feed="fast_gateway"
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)
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def harvest_main_feed(cdp, agent, watermarks, followups, dry_run=False):
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"""
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Dedicated Main Chat CDP harvester (fallback).
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Operates opportunistically: only scrapes if browser is ALREADY on Main Chat.
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"""
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curr_url = cdp.evaluate("window.location.href") or ""
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if "/thread/" in curr_url:
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return [], None, 0
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wm_key = f"{agent}:main"
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last_wm = watermarks.get(wm_key, "")
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raw_messages = scrape_thread_messages(cdp, "main", last_wm, max_scrollbacks=0)
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return process_messages(
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raw_messages, agent, "main", "Main Chat", last_wm, followups,
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dry_run=dry_run, feed="main_chat_passive"
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)
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def harvest_agent_thread(cdp, agent, thread_info, watermarks, followups, dry_run=False):
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"""
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Harvests new messages for a single thread via CDP (fallback),
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preserves URL state, and returns (new_messages, new_watermark, job_results_count).
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"""
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thread_id = thread_info["id"]
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thread_name = thread_info["name"]
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wm_key = f"{agent}:{thread_id}"
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last_wm = watermarks.get(wm_key, "")
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initial_url = cdp.evaluate("window.location.href") or "https://muse.ai/"
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is_init_main = "/thread/" not in initial_url
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try:
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if thread_id == "main":
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if not is_init_main:
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cdp.dispatch_key("j", "KeyJ", modifiers=2)
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time.sleep(2.0)
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else:
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target_url = f"https://muse.ai/thread/{thread_id}"
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if initial_url.strip() != target_url:
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cdp.evaluate(f"window.location.href = {json.dumps(target_url)}")
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time.sleep(2.5)
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raw_messages = scrape_thread_messages(cdp, thread_id, last_wm)
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finally:
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try:
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curr_url = cdp.evaluate("window.location.href") or ""
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if is_init_main:
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if "/thread/" in curr_url:
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cdp.dispatch_key("j", "KeyJ", modifiers=2)
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else:
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if curr_url.strip() != initial_url.strip():
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cdp.evaluate(f"window.location.href = {json.dumps(initial_url)}")
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except Exception:
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pass
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|
||||
return process_messages(
|
||||
raw_messages, agent, thread_id, thread_name, last_wm, followups,
|
||||
dry_run=dry_run
|
||||
)
|
||||
|
||||
|
||||
|
||||
# Chain deduplication
|
||||
CHAINED_JOBS_FILE = Path(__file__).parent / "chained-jobs.json"
|
||||
|
||||
@@ -731,6 +741,40 @@ def harvest_cycle(target_agent=None, dry_run=False, output_json=False):
|
||||
|
||||
for agent, thread_list in monitored.items():
|
||||
agent_stats = {"status": "ok", "threads": {}, "new_messages": 0, "job_results": 0}
|
||||
|
||||
# 1. Fast headless gateway (zero CDP locks, zero browser navigation / tab hopping)
|
||||
if HAS_MUSE_HYBRID and muse_hybrid.is_node_configured(agent):
|
||||
try:
|
||||
all_targets = list(thread_list) + [{"id": "main", "name": "Main Chat"}]
|
||||
|
||||
def _harvest_one(target_info):
|
||||
try:
|
||||
return target_info, harvest_thread_gateway(
|
||||
agent, target_info, watermarks, followups, dry_run
|
||||
)
|
||||
except Exception:
|
||||
return target_info, ([], None, 0)
|
||||
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=min(len(all_targets) or 1, 5)) as executor:
|
||||
harvest_results = list(executor.map(_harvest_one, all_targets))
|
||||
|
||||
for t_info, (new_msgs, new_wm, j_res) in harvest_results:
|
||||
wm_key = f"{agent}:{t_info['id']}"
|
||||
if new_wm and not dry_run:
|
||||
watermarks[wm_key] = new_wm
|
||||
if new_msgs:
|
||||
agent_stats["threads"][t_info["name"]] = len(new_msgs)
|
||||
agent_stats["new_messages"] += len(new_msgs)
|
||||
agent_stats["job_results"] += j_res
|
||||
|
||||
cycle_stats["agents"][agent] = agent_stats
|
||||
cycle_stats["total_new_messages"] += agent_stats["new_messages"]
|
||||
cycle_stats["total_job_results"] += agent_stats["job_results"]
|
||||
continue
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# 2. Fallback: Direct CDP over host veth
|
||||
peer_ip, port = get_node_network(agent)
|
||||
|
||||
try:
|
||||
|
||||
@@ -15,8 +15,7 @@
|
||||
"schedule": "0 9 * * *",
|
||||
"sidechat": {
|
||||
"create": true,
|
||||
"name_template": "box-deep-health",
|
||||
"reuse_key": "box-deep-health"
|
||||
"name_template": "box-deep-health-{datetime}"
|
||||
},
|
||||
"timeout": 1800
|
||||
}
|
||||
|
||||
@@ -15,8 +15,7 @@
|
||||
"schedule": "*/15 * * * *",
|
||||
"sidechat": {
|
||||
"create": true,
|
||||
"name_template": "box-http-health",
|
||||
"reuse_key": "box-http-health"
|
||||
"name_template": "box-http-health-{datetime}"
|
||||
},
|
||||
"timeout": 600
|
||||
}
|
||||
|
||||
@@ -15,8 +15,7 @@
|
||||
"schedule": "7,22,37,52 * * * *",
|
||||
"sidechat": {
|
||||
"create": true,
|
||||
"name_template": "box-service-health",
|
||||
"reuse_key": "box-service-health"
|
||||
"name_template": "box-service-health-{datetime}"
|
||||
},
|
||||
"timeout": 600
|
||||
}
|
||||
@@ -1,14 +1,13 @@
|
||||
{
|
||||
"agent": "opm",
|
||||
"chain_next": null,
|
||||
"description": "Canary job to test the dispatcher - sends a simple DM",
|
||||
"name": "canary-test",
|
||||
"on_failure": "alert",
|
||||
"prompt_template": "This is a canary test from the job dispatcher.\nJob ID: {job_id}\nDate: {date}\n\nPlease reply to confirm you received this.",
|
||||
"description": "Canary job to test sidechat spawning and main chat driving",
|
||||
"agent": "646",
|
||||
"schedule": "manual",
|
||||
"timeout": 300,
|
||||
"on_failure": "alert",
|
||||
"sidechat": {
|
||||
"create": true,
|
||||
"name_template": "canary-test"
|
||||
"name_template": "canary-{datetime}"
|
||||
},
|
||||
"timeout": 300
|
||||
"prompt_template": "Canary test running in dedicated sidechat.\nJob ID: {job_id}\nTime: {datetime}\n\nPlease verify and reply with [RESULT {job_id}] OK."
|
||||
}
|
||||
+1
-1
@@ -9,7 +9,7 @@
|
||||
"sidechat": {
|
||||
"create": true,
|
||||
"name_template": "heartbeat",
|
||||
"reuse_key": "heartbeat-opm"
|
||||
"reuse_key": "heartbeat"
|
||||
},
|
||||
"timeout": 300
|
||||
}
|
||||
Reference in New Issue
Block a user