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"""AlertForge grader: one source of truth for Harbor (tests/grade.py) and the OpenEnv server.

Usage (inside the verifier):
    python3 -I /tests/grade.py --workspace /workspace/monitoring --spec /tests/spec.json \
        --hidden /tests/hidden --out /logs/verifier/reward.json --details /logs/verifier/details.json
"""

from __future__ import annotations

import argparse
import json
import os
import shutil
import tempfile
import time

from . import amcheck
from .loader import YamlError, index_rules, safe_yaml, scan
from .promrun import alert_count_expr, check_rules, dyn_probe, run_tests, write_rule_files
from .static import am_tamper, best_definition, preservation, rule_tamper, template_labels

KEYS = ["reward", "solved", "outcome", "progress", "preservation", "req_alerts", "req_repairs",
        "req_recording", "req_routing", "req_inhibit", "fire_rate", "silent_rate", "label_rate",
        "check_pass_rate", "syntax_ok", "tamper"]
CATEGORIES = ["req_alerts", "req_repairs", "req_recording", "req_routing", "req_inhibit"]
DUP_FACTOR = 0.8
S_MIN = -0.25


def _mean(xs) -> float:
    xs = list(xs)
    return sum(xs) / len(xs) if xs else 1.0


def zero_keys(tamper: bool) -> dict:
    d = {k: 0.0 for k in KEYS}
    d["tamper"] = 1.0 if tamper else 0.0
    return d


def load_hidden(hidden_dir: str) -> tuple[list[dict], list]:
    with open(os.path.join(hidden_dir, "scenarios.json")) as fh:
        groups = json.load(fh)
    oracle_records = []
    p = os.path.join(hidden_dir, "oracle_records.yml")
    if os.path.exists(p):
        with open(p) as fh:
            oracle_records = (safe_yaml(fh.read()) or {}).get("groups") or []
    return groups, oracle_records


class Grader:
    """Grades a workspace against one task's hidden spec. Reusable across calls (OpenEnv caching)."""

    def __init__(self, spec: dict, hidden_dir: str):
        self.spec = spec
        self.groups, self.oracle_records = load_hidden(hidden_dir)
        self._cache: dict[str, tuple[dict, dict]] = {}

    # ------------------------------------------------------------------ public
    def grade(self, workspace: str) -> tuple[dict, dict]:
        ws = scan(workspace)
        if ws.fingerprint in self._cache and not ws.tamper:
            return self._cache[ws.fingerprint]
        tmp = tempfile.mkdtemp(prefix="af-grade-")
        try:
            out = self._grade(ws, tmp)
        finally:
            if os.environ.get("AF_KEEP_TMP"):  # debugging: keep promtool inputs and JUnit output
                print(f"af-grade: kept {tmp}")
            else:
                shutil.rmtree(tmp, ignore_errors=True)
        self._cache[ws.fingerprint] = out
        return out

    # ------------------------------------------------------------------ internals
    def _grade(self, ws, tmp: str) -> tuple[dict, dict]:
        t0 = time.time()
        spec = self.spec
        syntax_err = check_rules(ws.rule_files, os.path.join(tmp, "check"))
        ok_files = [f for f in ws.rule_files if f.groups is not None and f.path not in syntax_err]
        alerts, records, every = index_rules(ok_files)
        tamper = list(ws.tamper) + rule_tamper(every, set(spec.get("input_metrics", [])))

        am, am_ok, am_msg, am_path = None, False, "alertmanager.yml missing", ""
        if ws.am_text is not None:
            try:
                am = safe_yaml(ws.am_text)
                if isinstance(am, dict):
                    am_path = amcheck.route_config_path(tmp, ws.am_text)
                    am_ok, am_msg = amcheck.check_config(am_path, ws.am_text)
                    tamper += am_tamper(am)
                else:
                    am_msg = "alertmanager.yml is not a mapping"
            except YamlError as e:
                am_msg = str(e)
        syntax_ok = not syntax_err and am_ok
        details: dict = {"syntax_errors": syntax_err, "alertmanager": am_msg, "tamper": tamper,
                         "requirements": {}, "checks": {}}
        if tamper:
            details["seconds"] = round(time.time() - t0, 3)
            return zero_keys(True), details

        reqs = spec["requirements"]
        static, extra = self._static_and_dynamic(reqs, alerts)
        order: list[str] = []
        rule_paths = write_rule_files(ok_files, os.path.join(tmp, "int"), order=order)
        integrated = run_tests(self.groups, rule_paths, extra, tmp, "int", order)
        dec_reqs = {r["id"] for r in reqs if r.get("alert", {}).get("reads_required_records")}
        decoupled: dict[str, bool] = {}
        if dec_reqs and spec.get("required_records"):
            dec_groups = [g for g in self.groups if g["req"] in dec_reqs]
            oracle_path = os.path.join(tmp, "oracle_records.yml")
            with open(oracle_path, "w") as fh:
                fh.write(json.dumps({"groups": self.oracle_records}))
            dec_order = [g["name"] for g in self.oracle_records]
            dec_paths = write_rule_files(ok_files, os.path.join(tmp, "dec"), set(spec["required_records"]), dec_order)
            decoupled = run_tests(dec_groups, [oracle_path] + dec_paths, extra, tmp, "dec", dec_order)

        route_res = self._route_results(reqs, alerts, am if am_ok else None, am_path, ws.am_text)
        inh_res = self._inhibit_results(reqs, am if am_ok else None)
        pres = spec.get("preserve", {})
        prr = [bool(am_ok) and amcheck.resolve(am_path, ws.am_text, c["labels"]) == sorted(c["expect"])
               for c in pres.get("route_cases", [])]
        pir = [bool(am_ok) and isinstance(am, dict) and amcheck.inhibited(am, c["source"], c["target"]) == c["expect"]
               for c in pres.get("inhibit_cases", [])]
        P, pitems = preservation(every, alerts, pres, am if isinstance(am, dict) else None, prr, pir)

        by_cat: dict[str, list[tuple[float, float]]] = {c: [] for c in CATEGORIES}
        s_all, checks = [], {}
        for r in reqs:
            q, fams = self._score_req(r, alerts, records, static, integrated, decoupled, route_res,
                                      inh_res, pres, pir)
            qp = float(r.get("q_pristine", 0.0))
            s = 1.0 if q >= 1 - 1e-9 else (q - qp) / (1 - qp) if qp < 1 else 0.0
            s = max(S_MIN, min(1.0, s))
            by_cat[r["category"]].append((s, r["weight"]))
            s_all.append((s, r["weight"]))
            details["requirements"][r["id"]] = {"q": round(q, 6), "s": round(s, 6), "q_pristine": qp,
                                                "families": fams}
            checks.update({f"{r['id']}:{k}": v for k, v in fams.get("_checks", {}).items()})
            fams.pop("_checks", None)

        phi_raw = sum(s * w for s, w in s_all) / sum(w for _, w in s_all)
        progress = max(0.0, (0.5 + 0.5 * P) * phi_raw)
        all_solved = all(s >= 1 - 1e-9 for s, _ in s_all)
        outcome = 1.0 if (all_solved and P >= 1 - 1e-9 and syntax_ok) else 0.0
        keys = zero_keys(False)
        keys.update({
            "outcome": outcome, "solved": outcome, "progress": round(progress, 6),
            "preservation": round(P, 6), "syntax_ok": 1.0 if syntax_ok else 0.0,
            "reward": round(0.6 * outcome + 0.4 * progress, 6),
        })
        for c in CATEGORIES:
            vals = by_cat[c]
            keys[c] = round(max(0.0, sum(s * w for s, w in vals) / sum(w for _, w in vals)), 6) if vals else 0.0
        fam_of = {p["id"]: p.get("family", "") for g in self.groups for p in g["probes"]}
        fire = [v for k, v in integrated.items() if fam_of.get(k) in ("fire", "timing")]
        silent = [v for k, v in integrated.items() if fam_of.get(k) == "silent"]
        label = [v for k, v in checks.items() if ":label" in k or ":annot" in k]
        allc = list(integrated.values()) + [v for k, v in checks.items() if ":probe" not in k]
        keys["fire_rate"] = round(_mean(fire), 6) if fire else 0.0
        keys["silent_rate"] = round(_mean(silent), 6) if silent else 0.0
        keys["label_rate"] = round(_mean(label), 6) if label else 0.0
        keys["check_pass_rate"] = round(_mean(allc), 6) if allc else 0.0
        details.update({"preservation_items": pitems, "checks": {**checks, **{f"probe:{k}": v for k, v in integrated.items()}},
                        "decoupled": decoupled, "seconds": round(time.time() - t0, 3)})
        return keys, details

    def _static_and_dynamic(self, reqs, alerts):
        static, extra = {}, {}
        for r in reqs:
            a = r.get("alert")
            if not a:
                continue
            defs = alerts.get(a["name"], [])
            best, res = best_definition(defs, a["labels"], a["runbook"])
            fp = a["fire_point"]
            dyn = [dyn_probe(f"{r['id']}.label.dyn", alert_count_expr(a["name"], fp["service"], a["labels"]),
                             fp["t"], 1)]
            refs = sorted(template_labels(best.rule))[:6] if best else []
            for lbl in refs:
                dyn.append(dyn_probe(f"{r['id']}.annot.lbl_{lbl}", alert_count_expr(a["name"], fp["service"], {lbl: None}),
                                     fp["t"], 1))
            extra.setdefault(fp["group"], []).extend(dyn)
            static[r["id"]] = {"best": best, "res": res, "count": len(defs), "dyn": [d["id"] for d in dyn]}
        return static, extra

    def _alert_q(self, r, st, results) -> tuple[float, dict]:
        rid = r["id"]
        ids = [p["id"] for g in self.groups if g["req"] == rid for p in g["probes"]]
        fam = {p["id"]: p["family"] for g in self.groups if g["req"] == rid for p in g["probes"]}
        fire = [results.get(i, False) for i in ids if fam[i] in ("fire", "timing")]
        silent = [results.get(i, False) for i in ids if fam[i] == "silent"]
        res = st["res"]
        lab = [res["labels"], results.get(f"{rid}.label.dyn", False)]
        ann = [res["summary"], res["runbook"]] + [results.get(i, False) for i in st["dyn"][1:]]
        E = 1.0 if st["count"] >= 1 else 0.0
        dup = DUP_FACTOR if st["count"] > r["alert"].get("expected_count", 1) else 1.0
        q = E * dup * _mean(fire) * _mean(silent) * (0.7 + 0.3 * _mean(lab + ann))
        return q, {"E": E, "dup": dup, "fire": _mean(fire), "silent": _mean(silent), "label_annot": _mean(lab + ann)}

    def _score_req(self, r, alerts, records, static, integrated, decoupled, route_res, inh_res, pres, pir):
        rid, kind = r["id"], r["kind"]
        if kind in ("new_alert", "repair"):
            st = static[rid]
            q_int, fams = self._alert_q(r, st, integrated)
            checks = {f"label:static": st["res"]["labels"], "annot:summary": st["res"]["summary"],
                      "annot:runbook": st["res"]["runbook"]}
            if rid in {g["req"] for g in self.groups} and decoupled and r["alert"].get("reads_required_records"):
                q_dec, fd = self._alert_q(r, st, decoupled)
                fams = {"integrated": fams, "decoupled": fd}
                return 0.5 * q_int + 0.5 * q_dec, {**fams, "_checks": checks}
            return q_int, {**fams, "_checks": checks}
        if kind == "recording":
            ids = [p["id"] for g in self.groups if g["req"] == rid for p in g["probes"]]
            exp = r["records"]["expected_count"]
            dup = DUP_FACTOR if any(len(records.get(n, [])) > c for n, c in exp.items()) else 1.0
            m = _mean(integrated.get(i, False) for i in ids)
            return dup * m, {"values": m, "dup": dup}
        if kind == "route":
            pos, neg = route_res[rid]
            q = _mean(pos) * _mean(1.0 if x else 0.0 for x in neg)
            return q, {"pos": pos, "neg": neg, "_checks": {f"route:neg{i}": x for i, x in enumerate(neg)}}
        if kind == "inhibit":
            sup, notsup = inh_res[rid]
            notsup = notsup + [ok for c, ok in zip(pres.get("inhibit_cases", []), pir) if c.get("req") == rid]
            q = _mean(1.0 if x else 0.0 for x in sup) * _mean(1.0 if x else 0.0 for x in notsup)
            return q, {"suppressed": sup, "not_suppressed": notsup,
                       "_checks": {f"inhibit:{i}": x for i, x in enumerate(sup + notsup)}}
        raise ValueError(kind)

    def _route_results(self, reqs, alerts, am, am_path, am_text):
        out = {}
        for r in reqs:
            if r["kind"] != "route":
                continue
            rt = r["route"]
            pos, neg = [], []
            for c in rt["pos"]:
                got = amcheck.resolve(am_path, am_text, c["labels"]) if am else None
                pos.append(amcheck.jaccard(set(c["expect"]), set(got)) if got is not None else 0.0)
            ch = rt.get("chain")
            if ch:
                defs = alerts.get(ch["alert"], [])
                best, _ = best_definition(defs, ch["required_labels"], ch.get("runbook", ""))
                if best is None or not am:
                    pos.append(0.0)
                else:
                    lab = {str(k): str(v) for k, v in (best.rule.get("labels") or {}).items()
                           if isinstance(best.rule.get("labels"), dict)}
                    lab.update({"alertname": ch["alert"], "service": ch["service"]})
                    got = amcheck.resolve(am_path, am_text, lab)
                    pos.append(amcheck.jaccard(set(ch["expect"]), set(got)) if got is not None else 0.0)
            for c in rt["neg"]:
                got = amcheck.resolve(am_path, am_text, c["labels"]) if am else None
                neg.append(got is not None and not (set(got) & set(c["forbid"])))
            out[r["id"]] = (pos, neg)
        return out

    def _inhibit_results(self, reqs, am):
        out = {}
        for r in reqs:
            if r["kind"] != "inhibit":
                continue
            sup, notsup = [], []
            for c in r["inhibit"]["cases"]:
                got = amcheck.inhibited(am, c["source"], c["target"]) if isinstance(am, dict) else None
                (sup if c["expect"] else notsup).append(got is not None and got == c["expect"])
            out[r["id"]] = (sup, notsup)
        return out


def main(argv=None) -> int:
    ap = argparse.ArgumentParser(description="AlertForge grader")
    ap.add_argument("--workspace", required=True)
    ap.add_argument("--spec", required=True)
    ap.add_argument("--hidden", required=True)
    ap.add_argument("--out", required=True)
    ap.add_argument("--details")
    a = ap.parse_args(argv)
    with open(a.spec) as fh:
        spec = json.load(fh)
    keys, details = Grader(spec, a.hidden).grade(a.workspace)
    with open(a.out, "w") as fh:
        json.dump(keys, fh)
    if a.details:
        with open(a.details, "w") as fh:
            json.dump(details, fh, indent=1, default=str)
    print(json.dumps(keys))
    return 0