# -*- coding: utf-8 -*-
"""mode_workflow server · 页面 + API + 解构任务管理
================================================================================
单服务(默认 8772):
  - GET  /                    index.html
  - GET  /api/dashboard       Dashboard 全部聚合指标(含内容树覆盖)
  - GET  /api/queries|posts|process|tools(+_versions)   Dataset 数据
  - POST /api/run_search|extract_process|extract_tools  起子进程跑 pipeline
  - GET  /api/task_status     轮询任务状态(读日志尾部)

用法:python server.py [port]
"""
import json
import subprocess
import sys
import threading
from collections import Counter
from datetime import datetime
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from pathlib import Path
from urllib.parse import urlparse, parse_qs

try:
    sys.stdout.reconfigure(encoding="utf-8")
except Exception:
    pass

HERE = Path(__file__).resolve().parent
sys.path.insert(0, str(HERE))
import db

PORT = int(sys.argv[1]) if len(sys.argv) > 1 else 8772
MATRIX_FILE = HERE / "reference" / "judged_matrix.json"
LOG_DIR = HERE / "runs" / "logs"

# ── 任务管理:task_id → {proc, log, status} ──────────────────────────────────
TASKS = {}
_TASK_LOCK = threading.Lock()


def _spawn_task(kind, cmd):
    LOG_DIR.mkdir(parents=True, exist_ok=True)
    task_id = f"{kind}_{datetime.now().strftime('%m%d%H%M%S%f')}"
    log_path = LOG_DIR / f"{task_id}.log"
    f = open(log_path, "w", encoding="utf-8")
    proc = subprocess.Popen(cmd, stdout=f, stderr=subprocess.STDOUT,
                            cwd=str(HERE), text=True)
    with _TASK_LOCK:
        TASKS[task_id] = {"proc": proc, "log": log_path, "status": "running"}

    def _wait():
        rc = proc.wait()
        f.close()
        with _TASK_LOCK:
            TASKS[task_id]["status"] = "done" if rc == 0 else "failed"

    threading.Thread(target=_wait, daemon=True).start()
    return task_id


def _task_status(task_id):
    with _TASK_LOCK:
        t = TASKS.get(task_id)
    if not t:
        return None
    tail = ""
    try:
        text = t["log"].read_text(encoding="utf-8", errors="replace")
        tail = text[-3000:]
    except Exception:
        pass
    return {"status": t["status"], "log_tail": tail}


def _next_query_id():
    qs = [q["query_id"] for q in db.fetch_queries()]
    nums = [int(q[1:]) for q in qs if q.startswith("q") and q[1:].isdigit()]
    return f"q{(max(nums) + 1 if nums else 0):04d}"


# ── Dashboard 聚合 ────────────────────────────────────────────────────────────

def _split_values(v):
    """substance/form 字段:数组直接用;字符串按 、,/ 分割;None 丢弃。"""
    out = []
    items = v if isinstance(v, list) else [v]
    for it in items:
        if not it or not isinstance(it, str):
            continue
        for piece in it.replace(",", "、").replace("/", "、").split("、"):
            piece = piece.strip()
            if piece:
                out.append(piece)
    return out


def _dashboard():
    posts, procs, tools = db.fetch_dashboard_rows()

    # 最新版本行集(覆盖度/Top10 用最新版,成本/耗时按全部版本累计)
    def latest(rows):
        best = {}
        for r in rows:
            cid = r["case_id"]
            if cid not in best or (r["version"] or "") > (best[cid] or ""):
                best[cid] = r["version"]
        return [r for r in rows if r["version"] == best[r["case_id"]]]

    latest_procs = latest(procs)
    latest_tools = latest(tools)

    # 内容树覆盖:steps 的 (action 叶子 × 输入/输出 type) ∩ 有效节点(tier≥1)
    jm = json.loads(MATRIX_FILE.read_text(encoding="utf-8"))
    a_idx = {a["name"]: i for i, a in enumerate(jm["actions"])}
    t_idx = {t["name"]: i for i, t in enumerate(jm["types"])}
    valid = set()
    for ai, row in enumerate(jm["matrix"]):
        for ti, cell in enumerate(row):
            if isinstance(cell, dict) and cell.get("tier", 0) >= 1:
                valid.add((ai, ti))
    covered = set()
    via_counter = Counter()
    substance_counter = Counter()
    form_counter = Counter()
    for r in latest_procs:
        for s in r["steps"]:
            if not isinstance(s, dict):
                continue
            leaf = (s.get("action") or "").split("/")[-1].strip()
            types = []
            for io in ("inputs", "outputs"):
                for x in s.get(io) or []:
                    if isinstance(x, dict) and x.get("type"):
                        types.append(str(x["type"]).strip())
            if leaf in a_idx:
                for tp in types:
                    if tp in t_idx and (a_idx[leaf], t_idx[tp]) in valid:
                        covered.add((a_idx[leaf], t_idx[tp]))
            via = (s.get("via") or "").strip()
            if via:
                via_counter[via] += 1
            for v in _split_values(s.get("substance")):
                substance_counter[v] += 1
            for v in _split_values(s.get("form")):
                form_counter[v] += 1
    for r in latest_tools:
        for v in _split_values(r["substance_scope"]):
            substance_counter[v] += 1
        for v in _split_values(r["form_scope"]):
            form_counter[v] += 1

    # 成本/耗时:同一 (case_id, version) 只计一次(各行重复存同一次调用的值)
    def cost_groups(rows):
        g = {}
        for r in rows:
            key = (r["case_id"], r["version"])
            if key not in g and r["cost_usd"] is not None:
                g[key] = (r["cost_usd"], r["duration_s"] or 0.0, r["created_at"])
        return list(g.values())

    runs = cost_groups(procs) + cost_groups(tools)
    total_cost = round(sum(c for c, _, _ in runs), 4)
    total_dur = round(sum(d for _, d, _ in runs), 1)
    # 按日成本趋势
    daily = Counter()
    for c, _, ts in runs:
        if ts:
            daily[ts[:10]] += c
    cost_trend = [{"date": d, "cost": round(v, 4)} for d, v in sorted(daily.items())]

    # 进度:分母 = knowledge_type 含对应类型的帖子(distinct case)
    proc_targets = {p["case_id"] for p in posts if "工序" in (p["knowledge_type"] or [])}
    tool_targets = {p["case_id"] for p in posts if "工具" in (p["knowledge_type"] or [])}
    proc_done = {r["case_id"] for r in procs}
    tool_done = {r["case_id"] for r in tools}

    return {
        "result": {
            "matrix_covered": len(covered), "matrix_valid": len(valid),
            "matrix_cells": sorted([ai, ti] for ai, ti in covered),
            "matrix_actions": [a["name"] for a in jm["actions"]],
            "matrix_types": [t["name"] for t in jm["types"]],
            "substance_count": len(substance_counter),
            "substance_top": substance_counter.most_common(15),
            "form_count": len(form_counter),
            "form_top": form_counter.most_common(15),
            "post_count": len(posts),
            "extracted_post_count": len(proc_done | tool_done),
            "tool_count": len({r["tool_name"] for r in latest_tools if r["tool_name"]}),
            "via_top10": via_counter.most_common(10),
        },
        "process_data": {
            "run_count": len(runs),
            "avg_cost": round(total_cost / len(runs), 4) if runs else 0,
            "total_cost": total_cost,
            "avg_duration": round(total_dur / len(runs), 1) if runs else 0,
            "total_duration": total_dur,
            "cost_trend": cost_trend,
            "process_progress": {"done": len(proc_done), "total": len(proc_targets)},
            "tools_progress": {"done": len(tool_done), "total": len(tool_targets)},
        },
    }


# ── HTTP handler ─────────────────────────────────────────────────────────────

class Handler(BaseHTTPRequestHandler):

    def _json(self, data, code=200):
        body = json.dumps(data, ensure_ascii=False, default=str).encode("utf-8")
        self.send_response(code)
        self.send_header("Content-Type", "application/json; charset=utf-8")
        self.send_header("Content-Length", str(len(body)))
        self.end_headers()
        self.wfile.write(body)

    def _err(self, msg, code=400):
        self._json({"error": msg}, code)

    def do_GET(self):
        u = urlparse(self.path)
        qs = {k: v[0] for k, v in parse_qs(u.query).items()}
        try:
            if u.path == "/" or u.path == "/index.html":
                body = (HERE / "index.html").read_bytes()
                self.send_response(200)
                self.send_header("Content-Type", "text/html; charset=utf-8")
                self.send_header("Content-Length", str(len(body)))
                self.end_headers()
                self.wfile.write(body)
            elif u.path == "/api/dashboard":
                self._json(_dashboard())
            elif u.path == "/api/queries":
                self._json(db.fetch_queries())
            elif u.path == "/api/posts":
                self._json(db.fetch_posts(qs.get("query_id", "")))
            elif u.path == "/api/process_versions":
                self._json(db.fetch_process_versions(qs.get("case_id", "")))
            elif u.path == "/api/process":
                r = db.fetch_process(qs.get("case_id", ""), qs.get("version"))
                self._json(r) if r else self._err("无解构记录", 404)
            elif u.path == "/api/tools_versions":
                self._json(db.fetch_tools_versions(qs.get("case_id", "")))
            elif u.path == "/api/tools":
                r = db.fetch_tools(qs.get("case_id", ""), qs.get("version"))
                self._json(r) if r else self._err("无解构记录", 404)
            elif u.path == "/api/task_status":
                r = _task_status(qs.get("task_id", ""))
                self._json(r) if r else self._err("未知 task_id", 404)
            else:
                self._err("not found", 404)
        except Exception as e:
            self._err(f"{type(e).__name__}: {e}", 500)

    def do_POST(self):
        u = urlparse(self.path)
        try:
            n = int(self.headers.get("Content-Length") or 0)
            payload = json.loads(self.rfile.read(n) or b"{}")
        except Exception:
            return self._err("body 必须是 JSON")
        try:
            if u.path in ("/api/extract_process", "/api/extract_tools"):
                qid = payload.get("query_id")
                cids = payload.get("case_ids") or []
                if not qid or not cids:
                    return self._err("缺 query_id / case_ids")
                script = ("pipeline/procedure_extract.py" if u.path.endswith("process")
                          else "pipeline/tool_extract.py")
                cmd = [sys.executable, script, "--query-id", qid,
                       "--case-ids", ",".join(cids)]
                if payload.get("model"):
                    cmd += ["--model", payload["model"]]
                kind = "proc" if u.path.endswith("process") else "tool"
                self._json({"task_id": _spawn_task(kind, cmd)})
            elif u.path == "/api/run_search":
                query = (payload.get("query") or "").strip()
                if not query:
                    return self._err("缺 query")
                qid = payload.get("query_id") or _next_query_id()
                cmd = [sys.executable, "pipeline/search_eval.py",
                       "--query-id", qid, "--query", query]
                if payload.get("synonyms"):
                    cmd += ["--synonyms", payload["synonyms"]]
                if payload.get("mode_type") in ("工序", "工具"):
                    cmd += ["--mode-type", payload["mode_type"]]
                if payload.get("platforms"):
                    cmd += ["--platforms", payload["platforms"]]
                if payload.get("max_count"):
                    cmd += ["--max-count", str(payload["max_count"])]
                self._json({"task_id": _spawn_task("search", cmd), "query_id": qid})
            else:
                self._err("not found", 404)
        except Exception as e:
            self._err(f"{type(e).__name__}: {e}", 500)

    def log_message(self, fmt, *a):
        pass   # 静默访问日志


if __name__ == "__main__":
    print(f"🚀 mode_workflow server → http://0.0.0.0:{PORT}")
    ThreadingHTTPServer(("0.0.0.0", PORT), Handler).serve_forever()