mirror of
https://github.com/shareAI-lab/analysis_claude_code.git
synced 2026-06-21 04:33:36 +08:00
805 lines
28 KiB
Python
805 lines
28 KiB
Python
#!/usr/bin/env python3
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"""
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s14: Cron Scheduler — independent daemon thread + queue processor.
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Run: python s14_cron_scheduler/code.py
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Need: pip install anthropic python-dotenv + .env with ANTHROPIC_API_KEY
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Changes from s13:
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- CronJob dataclass (id, cron, prompt, recurring, durable)
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- cron_matches: 5-field cron expression matching with DOM/DOW OR semantics
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- schedule_job / cancel_job: register/remove cron jobs (with validation)
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- cron_scheduler_loop: independent daemon thread, polls every 1s
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- cron_queue: thread-safe queue, scheduler writes, queue processor delivers
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- queue_processor_loop: auto-runs agent_loop when cron_queue has work
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- Durable storage: .scheduled_tasks.json (survives restart)
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- 3 new tools: schedule_cron, list_crons, cancel_cron
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Four layers:
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1. Scheduler: daemon thread checks time → fires matching jobs
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2. Queue: cron_queue decouples scheduler from agent loop
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3. Queue processor: wakes the agent when queued work exists and it is idle
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4. Consumer: agent_loop consumes queued jobs and injects them into messages
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"""
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import os, subprocess, json, time, random, threading
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from pathlib import Path
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from datetime import datetime
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from dataclasses import dataclass, asdict
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try:
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import readline
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readline.parse_and_bind('set bind-tty-special-chars off')
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except ImportError:
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pass
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from anthropic import Anthropic
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from dotenv import load_dotenv
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load_dotenv(override=True)
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if os.getenv("ANTHROPIC_BASE_URL"):
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os.environ.pop("ANTHROPIC_AUTH_TOKEN", None)
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WORKDIR = Path.cwd()
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MEMORY_DIR = WORKDIR / ".memory"
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MEMORY_INDEX = MEMORY_DIR / "MEMORY.md"
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client = Anthropic(base_url=os.getenv("ANTHROPIC_BASE_URL"))
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MODEL = os.environ["MODEL_ID"]
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# ── Task System (from s12, synced) ──
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TASKS_DIR = WORKDIR / ".tasks"
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TASKS_DIR.mkdir(exist_ok=True)
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@dataclass
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class Task:
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id: str
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subject: str
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description: str
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status: str # pending | in_progress | completed
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owner: str | None
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blockedBy: list[str]
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def _task_path(task_id: str) -> Path:
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return TASKS_DIR / f"{task_id}.json"
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def create_task(subject: str, description: str = "",
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blockedBy: list[str] | None = None) -> Task:
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task = Task(
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id=f"task_{int(time.time())}_{random.randint(0, 9999):04d}",
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subject=subject, description=description,
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status="pending", owner=None,
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blockedBy=blockedBy or [],
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)
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save_task(task)
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return task
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def save_task(task: Task):
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_task_path(task.id).write_text(json.dumps(asdict(task), indent=2))
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def load_task(task_id: str) -> Task:
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return Task(**json.loads(_task_path(task_id).read_text()))
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def list_tasks() -> list[Task]:
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return [Task(**json.loads(p.read_text()))
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for p in sorted(TASKS_DIR.glob("task_*.json"))]
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def get_task(task_id: str) -> str:
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"""Return full task details as JSON."""
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task = load_task(task_id)
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return json.dumps(asdict(task), indent=2)
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def can_start(task_id: str) -> bool:
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"""Check if all blockedBy dependencies are completed.
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Missing dependencies are treated as blocked."""
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task = load_task(task_id)
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for dep_id in task.blockedBy:
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if not _task_path(dep_id).exists():
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return False
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if load_task(dep_id).status != "completed":
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return False
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return True
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def claim_task(task_id: str, owner: str = "agent") -> str:
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task = load_task(task_id)
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if task.status != "pending":
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return f"Task {task_id} is {task.status}, cannot claim"
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if not can_start(task_id):
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deps = [d for d in task.blockedBy
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if not _task_path(d).exists() or load_task(d).status != "completed"]
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return f"Blocked by: {deps}"
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task.owner = owner
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task.status = "in_progress"
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save_task(task)
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print(f" \033[36m[claim] {task.subject} → in_progress (owner: {owner})\033[0m")
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return f"Claimed {task.id} ({task.subject})"
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def complete_task(task_id: str) -> str:
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task = load_task(task_id)
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if task.status != "in_progress":
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return f"Task {task_id} is {task.status}, cannot complete"
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task.status = "completed"
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save_task(task)
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unblocked = [t.subject for t in list_tasks()
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if t.status == "pending" and t.blockedBy and can_start(t.id)]
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print(f" \033[32m[complete] {task.subject} ✓\033[0m")
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msg = f"Completed {task.id} ({task.subject})"
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if unblocked:
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msg += f"\nUnblocked: {', '.join(unblocked)}"
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print(f" \033[33m[unblocked] {', '.join(unblocked)}\033[0m")
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return msg
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# ── Prompt Assembly (from s10, synced) ──
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PROMPT_SECTIONS = {
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"identity": "You are a coding agent. Act, don't explain.",
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"tools": "Available tools: bash, read_file, write_file, "
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"create_task, list_tasks, get_task, claim_task, complete_task, "
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"schedule_cron, list_crons, cancel_cron.",
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"workspace": f"Working directory: {WORKDIR}",
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"memory": "Relevant memories are injected below when available.",
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}
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def assemble_system_prompt(context: dict) -> str:
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sections = [PROMPT_SECTIONS["identity"],
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PROMPT_SECTIONS["tools"],
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PROMPT_SECTIONS["workspace"]]
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memories = context.get("memories", "")
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if memories:
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sections.append(f"Relevant memories:\n{memories}")
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return "\n\n".join(sections)
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_last_context_key, _last_prompt = None, None
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def get_system_prompt(context: dict) -> str:
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global _last_context_key, _last_prompt
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key = json.dumps(context, sort_keys=True, ensure_ascii=False, default=str)
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if key == _last_context_key and _last_prompt:
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return _last_prompt
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_last_context_key = key
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_last_prompt = assemble_system_prompt(context)
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return _last_prompt
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# ── Tools ──
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def safe_path(p: str) -> Path:
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path = (WORKDIR / p).resolve()
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if not path.is_relative_to(WORKDIR):
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raise ValueError(f"Path escapes workspace: {p}")
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return path
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def run_bash(command: str, run_in_background: bool = False) -> str:
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# run_in_background is handled by agent_loop dispatch, not here
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try:
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r = subprocess.run(command, shell=True, cwd=WORKDIR,
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capture_output=True, text=True, timeout=120)
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out = (r.stdout + r.stderr).strip()
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return out[:50000] if out else "(no output)"
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except subprocess.TimeoutExpired:
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return "Error: Timeout (120s)"
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def run_read(path: str, limit: int | None = None) -> str:
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try:
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lines = safe_path(path).read_text().splitlines()
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if limit and limit < len(lines):
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lines = lines[:limit] + [f"... ({len(lines) - limit} more lines)"]
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return "\n".join(lines)
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except Exception as e:
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return f"Error: {e}"
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def run_write(path: str, content: str) -> str:
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try:
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fp = safe_path(path)
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fp.parent.mkdir(parents=True, exist_ok=True)
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fp.write_text(content)
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return f"Wrote {len(content)} bytes to {path}"
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except Exception as e:
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return f"Error: {e}"
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# Task tools
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def run_create_task(subject: str, description: str = "",
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blockedBy: list[str] | None = None) -> str:
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task = create_task(subject, description, blockedBy)
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deps = f" (blockedBy: {', '.join(blockedBy)})" if blockedBy else ""
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print(f" \033[34m[create] {task.subject}{deps}\033[0m")
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return f"Created {task.id}: {task.subject}{deps}"
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def run_list_tasks() -> str:
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tasks = list_tasks()
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if not tasks:
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return "No tasks. Use create_task to add some."
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lines = []
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for t in tasks:
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icon = {"pending": "○", "in_progress": "●",
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"completed": "✓"}.get(t.status, "?")
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deps = f" (blockedBy: {', '.join(t.blockedBy)})" if t.blockedBy else ""
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owner = f" [{t.owner}]" if t.owner else ""
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lines.append(f" {icon} {t.id}: {t.subject} "
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f"[{t.status}]{owner}{deps}")
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return "\n".join(lines)
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def run_get_task(task_id: str) -> str:
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try:
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return get_task(task_id)
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except FileNotFoundError:
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return f"Error: Task {task_id} not found"
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def run_claim_task(task_id: str) -> str:
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return claim_task(task_id, owner="agent")
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def run_complete_task(task_id: str) -> str:
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return complete_task(task_id)
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# ── Background Tasks (from s13, synced) ──
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_bg_counter = 0
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background_tasks: dict[str, dict] = {}
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background_results: dict[str, str] = {}
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background_lock = threading.Lock()
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def is_slow_operation(tool_name: str, tool_input: dict) -> bool:
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"""Fallback heuristic: commands likely to take > 30s."""
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if tool_name != "bash":
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return False
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cmd = tool_input.get("command", "").lower()
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slow_keywords = ["install", "build", "test", "deploy", "compile",
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"docker build", "pip install", "npm install",
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"cargo build", "pytest", "make"]
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return any(kw in cmd for kw in slow_keywords)
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def should_run_background(tool_name: str, tool_input: dict) -> bool:
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"""Model explicit request takes priority; fallback to heuristic."""
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if tool_input.get("run_in_background"):
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return True
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return is_slow_operation(tool_name, tool_input)
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def execute_tool(block) -> str:
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"""Execute a tool call block, return output."""
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handler = {
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"bash": run_bash, "read_file": run_read, "write_file": run_write,
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"create_task": run_create_task, "list_tasks": run_list_tasks,
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"get_task": run_get_task, "claim_task": run_claim_task,
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"complete_task": run_complete_task,
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"schedule_cron": run_schedule_cron, "list_crons": run_list_crons,
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"cancel_cron": run_cancel_cron,
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}.get(block.name)
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if handler:
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return handler(**block.input)
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return f"Unknown tool: {block.name}"
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def start_background_task(block) -> str:
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"""Run tool in a daemon thread. Returns background task ID."""
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global _bg_counter
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_bg_counter += 1
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bg_id = f"bg_{_bg_counter:04d}"
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cmd = block.input.get("command", block.name)
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def worker():
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result = execute_tool(block)
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with background_lock:
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background_tasks[bg_id]["status"] = "completed"
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background_results[bg_id] = result
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with background_lock:
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background_tasks[bg_id] = {
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"tool_use_id": block.id,
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"command": cmd,
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"status": "running",
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}
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threading.Thread(target=worker, daemon=True).start()
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print(f" \033[33m[background] dispatched {bg_id}: {cmd[:40]}\033[0m")
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return bg_id
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def collect_background_results() -> list[str]:
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"""Collect completed background results as task_notification messages."""
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with background_lock:
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ready_ids = [bid for bid, task in background_tasks.items()
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if task["status"] == "completed"]
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notifications = []
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for bg_id in ready_ids:
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with background_lock:
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task = background_tasks.pop(bg_id)
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output = background_results.pop(bg_id, "")
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summary = output[:200] if len(output) > 200 else output
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notifications.append(
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f"<task_notification>\n"
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f" <task_id>{bg_id}</task_id>\n"
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f" <status>completed</status>\n"
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f" <command>{task['command']}</command>\n"
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f" <summary>{summary}</summary>\n"
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f"</task_notification>")
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print(f" \033[32m[background done] {bg_id}: "
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f"{task['command'][:40]} ({len(output)} chars)\033[0m")
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return notifications
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# ── Cron Scheduler (s14 new) ──
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DURABLE_PATH = WORKDIR / ".scheduled_tasks.json"
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@dataclass
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class CronJob:
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id: str
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cron: str # "0 9 * * *"
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prompt: str # message to inject when fired
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recurring: bool # True = recurring, False = one-shot
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durable: bool # True = persist to disk
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scheduled_jobs: dict[str, CronJob] = {}
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cron_queue: list[CronJob] = []
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cron_lock = threading.Lock()
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agent_lock = threading.Lock()
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_last_fired: dict[str, str] = {} # job_id → "YYYY-MM-DD HH:MM"
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def _cron_field_matches(field: str, value: int) -> bool:
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"""Match a single cron field against a value."""
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if field == "*":
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return True
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if field.startswith("*/"):
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step = int(field[2:])
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return step > 0 and value % step == 0
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if "," in field:
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return any(_cron_field_matches(f.strip(), value)
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for f in field.split(","))
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if "-" in field:
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lo, hi = field.split("-", 1)
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return int(lo) <= value <= int(hi)
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return value == int(field)
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def cron_matches(cron_expr: str, dt: datetime) -> bool:
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"""Check if a 5-field cron expression matches the given datetime.
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Standard cron semantics: DOM and DOW use OR when both are constrained."""
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fields = cron_expr.strip().split()
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if len(fields) != 5:
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return False
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minute, hour, dom, month, dow = fields
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dow_val = (dt.weekday() + 1) % 7 # Python Monday=0 → cron Sunday=0
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m = _cron_field_matches(minute, dt.minute)
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h = _cron_field_matches(hour, dt.hour)
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dom_ok = _cron_field_matches(dom, dt.day)
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month_ok = _cron_field_matches(month, dt.month)
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dow_ok = _cron_field_matches(dow, dow_val)
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# Minute, hour, month must all match
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if not (m and h and month_ok):
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return False
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# DOM and DOW: if both constrained, either matching is enough (OR)
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dom_unconstrained = dom == "*"
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dow_unconstrained = dow == "*"
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if dom_unconstrained and dow_unconstrained:
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return True
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if dom_unconstrained:
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return dow_ok
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if dow_unconstrained:
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return dom_ok
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return dom_ok or dow_ok
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def _validate_cron_field(field: str, lo: int, hi: int) -> str | None:
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"""Validate a single cron field value is within [lo, hi]."""
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if field == "*":
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return None
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if field.startswith("*/"):
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step_str = field[2:]
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if not step_str.isdigit():
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return f"Invalid step: {field}"
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step = int(step_str)
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if step <= 0:
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return f"Step must be > 0: {field}"
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return None
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if "," in field:
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for part in field.split(","):
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err = _validate_cron_field(part.strip(), lo, hi)
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if err: return err
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return None
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if "-" in field:
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parts = field.split("-", 1)
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if not parts[0].isdigit() or not parts[1].isdigit():
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return f"Invalid range: {field}"
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a, b = int(parts[0]), int(parts[1])
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if a < lo or a > hi or b < lo or b > hi:
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return f"Range {field} out of bounds [{lo}-{hi}]"
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if a > b:
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return f"Range start > end: {field}"
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return None
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if not field.isdigit():
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return f"Invalid field: {field}"
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val = int(field)
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if val < lo or val > hi:
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return f"Value {val} out of bounds [{lo}-{hi}]"
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return None
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def validate_cron(cron_expr: str) -> str | None:
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"""Validate a cron expression. Returns error message or None."""
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fields = cron_expr.strip().split()
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if len(fields) != 5:
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return f"Expected 5 fields, got {len(fields)}"
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bounds = [(0, 59), (0, 23), (1, 31), (1, 12), (0, 6)]
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names = ["minute", "hour", "day-of-month", "month", "day-of-week"]
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for i, (field, (lo, hi), name) in enumerate(zip(fields, bounds, names)):
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err = _validate_cron_field(field, lo, hi)
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if err:
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return f"{name}: {err}"
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return None
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def save_durable_jobs():
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"""Persist durable jobs to .scheduled_tasks.json."""
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durable = [asdict(j) for j in scheduled_jobs.values() if j.durable]
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DURABLE_PATH.write_text(json.dumps(durable, indent=2))
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def load_durable_jobs():
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"""Load durable jobs from disk on startup."""
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if not DURABLE_PATH.exists():
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return
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try:
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jobs = json.loads(DURABLE_PATH.read_text())
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for j in jobs:
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job = CronJob(**j)
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err = validate_cron(job.cron)
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if err:
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print(f" \033[31m[cron] skipping invalid job {job.id}: {err}\033[0m")
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continue
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scheduled_jobs[job.id] = job
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valid = [j for j in jobs if j["id"] in scheduled_jobs]
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|
if valid:
|
|
print(f" \033[35m[cron] loaded {len(valid)} durable job(s)\033[0m")
|
|
except Exception:
|
|
pass
|
|
|
|
|
|
def schedule_job(cron: str, prompt: str, recurring: bool = True,
|
|
durable: bool = True) -> CronJob | str:
|
|
"""Register a new cron job. Returns CronJob or error string."""
|
|
err = validate_cron(cron)
|
|
if err:
|
|
return err
|
|
job = CronJob(
|
|
id=f"cron_{random.randint(0, 999999):06d}",
|
|
cron=cron, prompt=prompt,
|
|
recurring=recurring, durable=durable,
|
|
)
|
|
with cron_lock:
|
|
scheduled_jobs[job.id] = job
|
|
if durable:
|
|
save_durable_jobs()
|
|
print(f" \033[35m[cron register] {job.id} '{cron}' → {prompt[:40]}\033[0m")
|
|
return job
|
|
|
|
|
|
def cancel_job(job_id: str) -> str:
|
|
"""Cancel a cron job."""
|
|
with cron_lock:
|
|
job = scheduled_jobs.pop(job_id, None)
|
|
if not job:
|
|
return f"Job {job_id} not found"
|
|
if job.durable:
|
|
save_durable_jobs()
|
|
print(f" \033[31m[cron cancel] {job_id}\033[0m")
|
|
return f"Cancelled {job_id}"
|
|
|
|
|
|
def cron_scheduler_loop():
|
|
"""Independent daemon thread: poll every 1s, fire matching jobs.
|
|
Individual job errors are caught to prevent one bad job from
|
|
killing the entire scheduler thread."""
|
|
while True:
|
|
time.sleep(1)
|
|
now = datetime.now()
|
|
# Date-aware marker prevents daily jobs from skipping on day 2+
|
|
minute_marker = now.strftime("%Y-%m-%d %H:%M")
|
|
with cron_lock:
|
|
for job in list(scheduled_jobs.values()):
|
|
try:
|
|
if cron_matches(job.cron, now):
|
|
if _last_fired.get(job.id) != minute_marker:
|
|
cron_queue.append(job)
|
|
_last_fired[job.id] = minute_marker
|
|
print(f" \033[35m[cron fire] {job.id} → "
|
|
f"{job.prompt[:40]}\033[0m")
|
|
if not job.recurring:
|
|
scheduled_jobs.pop(job.id, None)
|
|
if job.durable:
|
|
save_durable_jobs()
|
|
except Exception as e:
|
|
print(f" \033[31m[cron error] {job.id}: {e}\033[0m")
|
|
|
|
|
|
def consume_cron_queue() -> list[CronJob]:
|
|
"""Consume fired jobs from cron_queue (called by agent_loop)."""
|
|
with cron_lock:
|
|
fired = list(cron_queue)
|
|
cron_queue.clear()
|
|
return fired
|
|
|
|
|
|
def has_cron_queue() -> bool:
|
|
"""Return whether fired cron jobs are waiting to be delivered."""
|
|
with cron_lock:
|
|
return bool(cron_queue)
|
|
|
|
|
|
# Load durable jobs on startup, then start scheduler thread
|
|
load_durable_jobs()
|
|
threading.Thread(target=cron_scheduler_loop, daemon=True).start()
|
|
print(" \033[35m[cron] scheduler thread started\033[0m")
|
|
|
|
|
|
# ── Cron Tools ──
|
|
|
|
def run_schedule_cron(cron: str, prompt: str,
|
|
recurring: bool = True, durable: bool = True) -> str:
|
|
result = schedule_job(cron, prompt, recurring, durable)
|
|
if isinstance(result, str):
|
|
return f"Error: {result}"
|
|
return f"Scheduled {result.id}: '{cron}' → {prompt}"
|
|
|
|
|
|
def run_list_crons() -> str:
|
|
with cron_lock:
|
|
jobs = list(scheduled_jobs.values())
|
|
if not jobs:
|
|
return "No cron jobs. Use schedule_cron to add one."
|
|
lines = []
|
|
for j in jobs:
|
|
tag = "recurring" if j.recurring else "one-shot"
|
|
dur = "durable" if j.durable else "session"
|
|
lines.append(f" {j.id}: '{j.cron}' → {j.prompt[:40]} "
|
|
f"[{tag}, {dur}]")
|
|
return "\n".join(lines)
|
|
|
|
|
|
def run_cancel_cron(job_id: str) -> str:
|
|
return cancel_job(job_id)
|
|
|
|
|
|
# ── Tool Definitions ──
|
|
|
|
TOOLS = [
|
|
{"name": "bash", "description": "Run a shell command.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {
|
|
"command": {"type": "string"},
|
|
"run_in_background": {"type": "boolean"}},
|
|
"required": ["command"]}},
|
|
{"name": "read_file", "description": "Read file contents.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {"path": {"type": "string"},
|
|
"limit": {"type": "integer"}},
|
|
"required": ["path"]}},
|
|
{"name": "write_file", "description": "Write content to a file.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {"path": {"type": "string"},
|
|
"content": {"type": "string"}},
|
|
"required": ["path", "content"]}},
|
|
{"name": "create_task",
|
|
"description": "Create a new task with optional blockedBy dependencies.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {
|
|
"subject": {"type": "string"},
|
|
"description": {"type": "string"},
|
|
"blockedBy": {"type": "array",
|
|
"items": {"type": "string"}}},
|
|
"required": ["subject"]}},
|
|
{"name": "list_tasks",
|
|
"description": "List all tasks with status, owner, and dependencies.",
|
|
"input_schema": {"type": "object", "properties": {},
|
|
"required": []}},
|
|
{"name": "get_task",
|
|
"description": "Get full details of a specific task by ID.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {"task_id": {"type": "string"}},
|
|
"required": ["task_id"]}},
|
|
{"name": "claim_task",
|
|
"description": "Claim a pending task. Sets owner, changes status to in_progress.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {"task_id": {"type": "string"}},
|
|
"required": ["task_id"]}},
|
|
{"name": "complete_task",
|
|
"description": "Complete an in-progress task. Reports unblocked downstream tasks.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {"task_id": {"type": "string"}},
|
|
"required": ["task_id"]}},
|
|
{"name": "schedule_cron",
|
|
"description": "Schedule a cron job. cron is 5-field: min hour dom month dow.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {
|
|
"cron": {"type": "string",
|
|
"description": "5-field cron expression"},
|
|
"prompt": {"type": "string",
|
|
"description": "Message to inject when fired"},
|
|
"recurring": {"type": "boolean",
|
|
"description": "True=recurring, False=one-shot"},
|
|
"durable": {"type": "boolean",
|
|
"description": "True=persist to disk"}},
|
|
"required": ["cron", "prompt"]}},
|
|
{"name": "list_crons",
|
|
"description": "List all registered cron jobs.",
|
|
"input_schema": {"type": "object", "properties": {},
|
|
"required": []}},
|
|
{"name": "cancel_cron",
|
|
"description": "Cancel a cron job by ID.",
|
|
"input_schema": {"type": "object",
|
|
"properties": {"job_id": {"type": "string"}},
|
|
"required": ["job_id"]}},
|
|
]
|
|
|
|
|
|
# ── Context ──
|
|
|
|
def update_context(context: dict, messages: list) -> dict:
|
|
"""Derive context from real state."""
|
|
memories = ""
|
|
if MEMORY_INDEX.exists():
|
|
content = MEMORY_INDEX.read_text().strip()
|
|
if content:
|
|
memories = content
|
|
return {
|
|
"enabled_tools": [t["name"] for t in TOOLS],
|
|
"workspace": str(WORKDIR),
|
|
"memories": memories,
|
|
}
|
|
|
|
|
|
# ── Agent Loop (simplified, focused on cron scheduler) ──
|
|
# Teaching code keeps a basic agent loop. S11's full error recovery is omitted.
|
|
# cron_scheduler_loop produces work; queue_processor_loop wakes this loop when
|
|
# queued work exists and no other agent turn is running.
|
|
|
|
def agent_loop(messages: list, context: dict) -> dict:
|
|
system = get_system_prompt(context)
|
|
while True:
|
|
# Layer 4: consume fired cron jobs → inject as messages
|
|
fired = consume_cron_queue()
|
|
for job in fired:
|
|
messages.append({"role": "user",
|
|
"content": f"[Scheduled] {job.prompt}"})
|
|
print(f" \033[35m[inject cron] {job.prompt[:50]}\033[0m")
|
|
|
|
try:
|
|
response = client.messages.create(
|
|
model=MODEL, system=system, messages=messages,
|
|
tools=TOOLS, max_tokens=8000)
|
|
except Exception as e:
|
|
messages.append({"role": "assistant", "content": [
|
|
{"type": "text",
|
|
"text": f"[Error] {type(e).__name__}: {e}"}]})
|
|
return context
|
|
|
|
messages.append({"role": "assistant", "content": response.content})
|
|
if response.stop_reason != "tool_use":
|
|
return context
|
|
|
|
results = []
|
|
for block in response.content:
|
|
if block.type != "tool_use":
|
|
continue
|
|
print(f"\033[36m> {block.name}\033[0m")
|
|
|
|
if should_run_background(block.name, block.input):
|
|
bg_id = start_background_task(block)
|
|
results.append({"type": "tool_result",
|
|
"tool_use_id": block.id,
|
|
"content": f"[Background task {bg_id} started] "
|
|
f"Result will be available when complete."})
|
|
else:
|
|
output = execute_tool(block)
|
|
print(str(output)[:300])
|
|
results.append({"type": "tool_result",
|
|
"tool_use_id": block.id,
|
|
"content": output})
|
|
|
|
# Merge background tool results + notifications into one user message
|
|
user_content = list(results)
|
|
bg_notifications = collect_background_results()
|
|
if bg_notifications:
|
|
for notif in bg_notifications:
|
|
user_content.append({"type": "text", "text": notif})
|
|
messages.append({"role": "user", "content": user_content})
|
|
context = update_context(context, messages)
|
|
system = get_system_prompt(context)
|
|
|
|
|
|
session_history: list = []
|
|
session_context = update_context({}, [])
|
|
|
|
|
|
def print_latest_assistant_text(messages: list):
|
|
"""Print text blocks from the latest assistant message."""
|
|
if not messages:
|
|
return
|
|
msg = messages[-1]
|
|
if not isinstance(msg, dict) or msg.get("role") != "assistant":
|
|
return
|
|
content = msg.get("content", "")
|
|
if isinstance(content, str):
|
|
print(content)
|
|
return
|
|
for block in content:
|
|
if getattr(block, "type", None) == "text":
|
|
print(block.text)
|
|
elif isinstance(block, dict) and block.get("type") == "text":
|
|
print(block.get("text", ""))
|
|
|
|
|
|
def run_agent_turn_locked(user_query: str | None = None):
|
|
"""Run one agent turn. Caller must hold agent_lock."""
|
|
global session_context
|
|
if user_query is not None:
|
|
session_history.append({"role": "user", "content": user_query})
|
|
session_context = agent_loop(session_history, session_context)
|
|
session_context = update_context(session_context, session_history)
|
|
print_latest_assistant_text(session_history)
|
|
print()
|
|
|
|
|
|
def queue_processor_loop():
|
|
"""Auto-deliver fired cron jobs when the agent is idle."""
|
|
global session_context
|
|
while True:
|
|
time.sleep(0.2)
|
|
if not has_cron_queue():
|
|
continue
|
|
if not agent_lock.acquire(blocking=False):
|
|
continue
|
|
try:
|
|
if not has_cron_queue():
|
|
continue
|
|
print("\n \033[35m[queue processor] delivering scheduled work\033[0m")
|
|
run_agent_turn_locked()
|
|
finally:
|
|
agent_lock.release()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
print("s14: cron scheduler")
|
|
print("Enter a question, press Enter to send. Type q to quit.\n")
|
|
threading.Thread(target=queue_processor_loop, daemon=True).start()
|
|
print(" \033[35m[queue processor] started\033[0m")
|
|
while True:
|
|
try:
|
|
query = input("\033[36ms14 >> \033[0m")
|
|
except (EOFError, KeyboardInterrupt):
|
|
break
|
|
if query.strip().lower() in ("q", "exit", ""):
|
|
break
|
|
with agent_lock:
|
|
run_agent_turn_locked(query)
|