#!/usr/bin/env python3
"""
pipeline_engine.py — Core state ledger and orchestration helper for multi-agent pipelines.

Manages persistent pipeline runs in pipelines.json:
- Run lifecycle: running -> completed | failed
- Step transitions, timings, context passing
- Shared pipeline sidechat target tracking
"""

import json
import os
import sys
import uuid
from datetime import datetime, timezone
from pathlib import Path

NETVM_ROOT = Path("/home/super/Projects/NetVM")
PIPELINES_FILE = NETVM_ROOT / "pipelines.json"
JOBS_DIR = NETVM_ROOT / "jobs"


def utcnow():
    return datetime.now(timezone.utc).isoformat()


def load_pipelines():
    if not PIPELINES_FILE.exists():
        return {}
    try:
        with open(PIPELINES_FILE, "r", encoding="utf-8") as f:
            return json.load(f)
    except Exception:
        return {}


def save_pipelines(data):
    tmp = f"{PIPELINES_FILE}.tmp.{os.getpid()}"
    with open(tmp, "w", encoding="utf-8") as f:
        json.dump(data, f, indent=2)
    os.replace(tmp, PIPELINES_FILE)


def generate_pipeline_run_id(pipeline_name):
    ts = datetime.now(timezone.utc).strftime("%Y%m%d-%H%M%S")
    rand_suffix = uuid.uuid4().hex[:6]
    return f"pipe-{ts}-{rand_suffix}"


def create_pipeline(pipeline_name, run_id=None, custom_target=None):
    """Initialize a new pipeline run entry in pipelines.json."""
    if not run_id:
        run_id = generate_pipeline_run_id(pipeline_name)

    data = load_pipelines()
    target = custom_target or f"pipe-{run_id.split('-')[-1]}"

    entry = {
        "run_id": run_id,
        "pipeline_name": pipeline_name,
        "created_at": utcnow(),
        "updated_at": utcnow(),
        "status": "running",
        "target": target,
        "thread_uuid": None,
        "current_step": 1,
        "steps": [],
    }
    data[run_id] = entry
    save_pipelines(data)
    return entry


def record_step_dispatch(run_id, step_n, job_name, job_id, agent, target, dm_id=None):
    """Record a dispatched step in an active pipeline run."""
    data = load_pipelines()
    if run_id not in data:
        return None

    entry = data[run_id]
    entry["updated_at"] = utcnow()
    entry["current_step"] = step_n

    step_record = {
        "step_n": step_n,
        "job_name": job_name,
        "job_id": job_id,
        "agent": agent,
        "target": target,
        "dm_id": dm_id,
        "status": "dispatched",
        "dispatched_at": utcnow(),
        "completed_at": None,
        "result": None,
    }
    entry["steps"].append(step_record)
    save_pipelines(data)
    return step_record


def record_step_result(job_id, success, result_text):
    """Find the pipeline run for job_id, mark the step completed/failed."""
    data = load_pipelines()
    for run_id, entry in data.items():
        for step in entry.get("steps", []):
            if step.get("job_id") == job_id:
                step["status"] = "completed" if success else "failed"
                step["completed_at"] = utcnow()
                step["result"] = result_text
                entry["updated_at"] = utcnow()
                save_pipelines(data)
                return entry, step
    return None, None


def record_step_timeout(dm_id):
    """Mark step as timed_out if follow-up sweeper escalated on dm_id."""
    data = load_pipelines()
    for run_id, entry in data.items():
        if entry.get("status") != "running":
            continue
        for step in entry.get("steps", []):
            if step.get("dm_id") == dm_id and step.get("status") == "dispatched":
                step["status"] = "timed_out"
                step["completed_at"] = utcnow()
                step["result"] = "TIMEOUT: Follow-up deadline expired after all nudges"
                entry["updated_at"] = utcnow()
                save_pipelines(data)
                return entry, step
    return None, None


def update_pipeline_thread(run_id, thread_uuid):
    """Associate resolved or auto-provisioned thread UUID with pipeline."""
    data = load_pipelines()
    if run_id in data:
        data[run_id]["thread_uuid"] = thread_uuid
        data[run_id]["updated_at"] = utcnow()
        save_pipelines(data)


def complete_pipeline(run_id):
    data = load_pipelines()
    if run_id in data:
        data[run_id]["status"] = "completed"
        data[run_id]["completed_at"] = utcnow()
        data[run_id]["updated_at"] = utcnow()
        save_pipelines(data)


def fail_pipeline(run_id, reason="failed"):
    data = load_pipelines()
    if run_id in data:
        data[run_id]["status"] = "failed"
        data[run_id]["failed_reason"] = reason
        data[run_id]["completed_at"] = utcnow()
        data[run_id]["updated_at"] = utcnow()
        save_pipelines(data)


def get_pipeline(run_id):
    data = load_pipelines()
    return data.get(run_id)


def list_active_pipelines():
    data = load_pipelines()
    return [v for v in data.values() if v.get("status") == "running"]


def list_pipeline_history(limit=20):
    data = load_pipelines()
    sorted_runs = sorted(
        data.values(),
        key=lambda x: x.get("created_at", ""),
        reverse=True,
    )
    return sorted_runs[:limit]