#!/usr/bin/env python3
"""
IRexp release_check.py — DoR integrity asserts for Sci Data Hub patch.

Skeleton + runnable checks against local jsonl.gz mirrors.
Default root: /workspace/irexp-opus4/data (Hub rev used for inventory).
After a patch build, point --data-dir at the patched out/ directory.

Usage:
  python3 release_check.py
  python3 release_check.py --data-dir /workspace/irexp-opus4/out
  python3 release_check.py --expect-commercial-n 88519  # post-lt3 drop, pre-ND
"""

from __future__ import annotations

import argparse
import gzip
import json
import sys
from collections import Counter
from pathlib import Path
from typing import Any, Iterable

BAND_KEY = "ir_bands_cm-1"
OLD_KEY = "ir_bands_old_cm-1"
BAND_LO, BAND_HI = 350.0, 4000.0
MIN_BANDS = 3

CORE_KEYS = {
    "id",
    BAND_KEY,
    "ir_source",
    "h_nmr",
    "c_nmr",
    "smiles",
    "selfies",
    "inchikey",
    "has_structure",
    "source_doi",
    "license",
    "license_raw",
    "license_pool",
    "license_source",
}
# pmcid required on PMC-derived pools; Chemotion SA uses `source` instead (schema note).
PMC_POOLS_REQUIRE_PMCID = {"commercial", "non_commercial", "resolved_commercial", "train_no_bench_commercial"}

# Documented (Table-1-adjacent) audit / QC fields — prefer keep + document
COMMERCIAL_DOC_FIELDS = {
    OLD_KEY,
    "ir_shared_in_paper",
    "ir_table_flatten_suspect",
    "ir_refetch_confirmed",
    "ir_refetch_merged",
}

# Hypervalent I–O exception ids observed on rev 50d6155 (has_structure=False ∧ smiles).
# Recompute / refresh if the set changes; empty set means enforce strict equivalence.
KNOWN_HS_FALSE_WITH_SMILES: set[str] = set()  # cleared after has_structure flip (presubmit)


def load_jsonl_gz(path: Path) -> list[dict[str, Any]]:
    rows: list[dict[str, Any]] = []
    with gzip.open(path, "rt", encoding="utf-8") as f:
        for line in f:
            line = line.strip()
            if line:
                rows.append(json.loads(line))
    return rows


def bands(row: dict[str, Any]) -> list[float]:
    b = row.get(BAND_KEY)
    if not b:
        return []
    return [float(x) for x in b]


def nonempty_smiles(row: dict[str, Any]) -> bool:
    s = row.get("smiles")
    return s is not None and str(s).strip() != ""


def int_bands(vals: Iterable[float]) -> list[int]:
    return [int(round(float(x))) for x in vals]


def order_unique_ints(vals: Iterable[float]) -> list[int]:
    out: list[int] = []
    seen: set[int] = set()
    for v in int_bands(vals):
        if v not in seen:
            seen.add(v)
            out.append(v)
    return out


class Checker:
    def __init__(self) -> None:
        self.failures: list[str] = []
        self.warnings: list[str] = []

    def check(self, cond: bool, msg: str) -> None:
        if not cond:
            self.failures.append(msg)

    def warn(self, cond: bool, msg: str) -> None:
        if not cond:
            self.warnings.append(msg)

    def section(self, title: str) -> None:
        print(f"\n== {title} ==")


def assert_ge3_bands(ck: Checker, name: str, rows: list[dict]) -> None:
    bad = [r["id"] for r in rows if len(bands(r)) < MIN_BANDS]
    ck.check(len(bad) == 0, f"{name}: {len(bad)} rows with len(bands)<{MIN_BANDS} e.g. {bad[:5]}")


def assert_band_range(ck: Checker, name: str, rows: list[dict]) -> None:
    bad = []
    for r in rows:
        for v in bands(r):
            if v < BAND_LO or v > BAND_HI:
                bad.append((r["id"], v))
                break
    ck.check(len(bad) == 0, f"{name}: {len(bad)} rows with bands outside [{BAND_LO},{BAND_HI}] e.g. {bad[:5]}")


def assert_no_dup_int_bands(ck: Checker, name: str, rows: list[dict]) -> None:
    bad = []
    for r in rows:
        ib = int_bands(bands(r))
        if len(ib) != len(set(ib)):
            bad.append(r["id"])
    ck.check(len(bad) == 0, f"{name}: {len(bad)} rows with duplicate integer bands e.g. {bad[:5]}")


def assert_has_structure_smiles(
    ck: Checker,
    name: str,
    rows: list[dict],
    allow_exceptions: set[str] | None = None,
) -> None:
    """has_structure ⇔ nonempty smiles, with optional documented exceptions."""
    allow = allow_exceptions or set()
    true_no_smiles = []
    false_with_smiles = []
    for r in rows:
        hs = r.get("has_structure")
        sm = nonempty_smiles(r)
        rid = r.get("id")
        if hs is True and not sm:
            true_no_smiles.append(rid)
        if hs is False and sm and rid not in allow:
            false_with_smiles.append(rid)
        if hs is False and sm and rid in allow:
            pass  # documented exception
        if hs not in (True, False):
            ck.check(False, f"{name}: non-bool has_structure on {rid}: {hs!r}")
    ck.check(
        len(true_no_smiles) == 0,
        f"{name}: {len(true_no_smiles)} has_structure=True without smiles e.g. {true_no_smiles[:5]}",
    )
    ck.check(
        len(false_with_smiles) == 0,
        f"{name}: {len(false_with_smiles)} has_structure=False with smiles "
        f"(not in exception set) e.g. {false_with_smiles[:5]}",
    )


def assert_unique_ids(ck: Checker, name: str, rows: list[dict]) -> None:
    ids = [r["id"] for r in rows]
    ck.check(len(ids) == len(set(ids)), f"{name}: duplicate ids within file ({len(ids)-len(set(ids))})")


def assert_core_schema(ck: Checker, name: str, rows: list[dict]) -> None:
    if not rows:
        ck.check(False, f"{name}: empty file")
        return
    # Every row must have core keys (presence; nulls allowed where meaningful)
    missing_counts = Counter()
    for r in rows:
        for k in CORE_KEYS:
            if k not in r:
                missing_counts[k] += 1
    ck.check(
        len(missing_counts) == 0,
        f"{name}: core keys missing on some rows: {dict(missing_counts)}",
    )


def assert_commercial_doc_fields(ck: Checker, rows: list[dict], require_dense_refetch: bool) -> None:
    """Documented fields: old bands always present; refetch preferably dense bools."""
    missing_old = sum(1 for r in rows if OLD_KEY not in r)
    ck.check(missing_old == 0, f"commercial: {missing_old} rows missing {OLD_KEY}")
    if require_dense_refetch:
        for field in ("ir_refetch_confirmed", "ir_refetch_merged"):
            missing = sum(1 for r in rows if field not in r)
            ck.check(
                missing == 0,
                f"commercial: {missing} rows missing dense {field} "
                f"(normalize absent→False before Hub patch)",
            )
    else:
        # Soft note for live Hub (sparse refetch)
        sparse_c = sum(1 for r in rows if "ir_refetch_confirmed" not in r)
        sparse_m = sum(1 for r in rows if "ir_refetch_merged" not in r)
        if sparse_c or sparse_m:
            ck.warn(
                False,
                f"commercial: refetch fields sparse "
                f"(confirmed missing={sparse_c}, merged missing={sparse_m}); "
                f"densify on next Hub patch",
            )


def assert_subset(ck: Checker, child: str, parent: str, child_ids: set[str], parent_ids: set[str]) -> None:
    extra = child_ids - parent_ids
    ck.check(len(extra) == 0, f"{child} ⊈ {parent}: {len(extra)} ids e.g. {list(extra)[:5]}")


def assert_disjoint(ck: Checker, a: str, b: str, a_ids: set[str], b_ids: set[str]) -> None:
    inter = a_ids & b_ids
    ck.check(len(inter) == 0, f"{a} ∩ {b} nonempty: {len(inter)} e.g. {list(inter)[:5]}")


def assert_resolved_equals_smiles(
    ck: Checker,
    commercial: list[dict],
    resolved_ids: set[str],
) -> None:
    """After rebuild: resolved ids == commercial ids with nonempty smiles."""
    expected = {r["id"] for r in commercial if nonempty_smiles(r)}
    only_exp = expected - resolved_ids
    only_res = resolved_ids - expected
    ck.check(
        len(only_exp) == 0 and len(only_res) == 0,
        f"resolved ≠ commercial∩smiles: missing_from_resolved={len(only_exp)} "
        f"extra_in_resolved={len(only_res)} (sample miss {list(only_exp)[:3]})",
    )


def main() -> int:
    ap = argparse.ArgumentParser(description=__doc__)
    ap.add_argument(
        "--data-dir",
        type=Path,
        default=Path("/workspace/irexp-opus4/data"),
        help="Directory with irexp_*.jsonl.gz",
    )
    ap.add_argument(
        "--expect-commercial-n",
        type=int,
        default=None,
        help="If set, assert commercial row count equals this (e.g. 88519 after lt3 drop)",
    )
    ap.add_argument(
        "--strict-resolved-smiles",
        action="store_true",
        help="Assert resolved == commercial∩smiles (enable after rebuild)",
    )
    ap.add_argument(
        "--require-dense-refetch",
        action="store_true",
        help="Assert ir_refetch_* present on every commercial row",
    )
    ap.add_argument(
        "--allow-live-defects",
        action="store_true",
        help="Warn instead of fail on known live Hub defects (lt3, dups, resolved sync)",
    )
    args = ap.parse_args()
    d = args.data_dir
    ck = Checker()

    files = {
        "commercial": d / "irexp_commercial.jsonl.gz",
        "non_commercial": d / "irexp_non_commercial.jsonl.gz",
        "sharealike": d / "irexp_sharealike.jsonl.gz",
        "resolved_commercial": d / "irexp_resolved_commercial.jsonl.gz",
        "train_no_bench_commercial": d / "train_no_bench_commercial.jsonl.gz",
    }
    for name, path in files.items():
        ck.check(path.is_file(), f"missing file: {path}")
    if ck.failures:
        for f in ck.failures:
            print("FAIL:", f)
        return 1

    data = {name: load_jsonl_gz(path) for name, path in files.items()}
    ids = {name: {r["id"] for r in rows} for name, rows in data.items()}

    print(f"data-dir: {d}")
    for name, rows in data.items():
        print(f"  {name}: n={len(rows)}")

    # --- counts ---
    ck.section("counts")
    if args.expect_commercial_n is not None:
        ck.check(
            len(data["commercial"]) == args.expect_commercial_n,
            f"commercial n={len(data['commercial'])} != expect {args.expect_commercial_n}",
        )

    # --- per-file quality ---
    for name, rows in data.items():
        ck.section(f"quality:{name}")
        assert_unique_ids(ck, name, rows)
        assert_core_schema(ck, name, rows)
        if name in PMC_POOLS_REQUIRE_PMCID:
            missing_pmcid = sum(1 for r in rows if "pmcid" not in r)
            ck.check(missing_pmcid == 0, f"{name}: {missing_pmcid} rows missing pmcid")
        if name == "sharealike":
            # Chemotion rows: source present, pmcid often absent; PMC SA: pmcid present
            no_prov = [
                r["id"] for r in rows
                if not r.get("pmcid") and not r.get("source")
            ]
            ck.check(len(no_prov) == 0, f"sharealike: {len(no_prov)} rows lack both pmcid and source")

        if args.allow_live_defects and name in {
            "commercial",
            "resolved_commercial",
            "train_no_bench_commercial",
            "non_commercial",
        }:
            # Report live defects as warnings
            n_lt3 = sum(1 for r in rows if len(bands(r)) < MIN_BANDS)
            n_dup = sum(1 for r in rows if len(int_bands(bands(r))) != len(set(int_bands(bands(r)))))
            if n_lt3:
                ck.warn(False, f"{name}: LIVE defect len<3: {n_lt3}")
            if n_dup:
                ck.warn(False, f"{name}: LIVE defect dup-int bands: {n_dup}")
            assert_band_range(ck, name, rows)
        else:
            assert_ge3_bands(ck, name, rows)
            assert_band_range(ck, name, rows)
            assert_no_dup_int_bands(ck, name, rows)

        allow = KNOWN_HS_FALSE_WITH_SMILES if name.startswith(
            ("commercial", "resolved", "train_no_bench")
        ) or name in {"commercial", "resolved_commercial", "train_no_bench_commercial"} else set()
        # Apply exceptions only to commercial family
        if name in {"commercial", "resolved_commercial", "train_no_bench_commercial"}:
            assert_has_structure_smiles(ck, name, rows, allow_exceptions=KNOWN_HS_FALSE_WITH_SMILES)
        else:
            assert_has_structure_smiles(ck, name, rows, allow_exceptions=set())

    # --- commercial documentation fields ---
    ck.section("commercial documented fields")
    assert_commercial_doc_fields(
        ck, data["commercial"], require_dense_refetch=args.require_dense_refetch
    )
    # Schema notes (non-fatal): companions lack audit columns
    for name in ("non_commercial", "sharealike"):
        for field in ("ir_bands_old_cm-1", "ir_shared_in_paper", "ir_table_flatten_suspect"):
            if any(field in r for r in data[name]):
                continue
            ck.warn(False, f"schema note: {name} lacks optional field {field} (document or align)")

    # --- cross-file relations ---
    ck.section("subset / disjoint")
    assert_disjoint(ck, "commercial", "non_commercial", ids["commercial"], ids["non_commercial"])
    assert_disjoint(ck, "commercial", "sharealike", ids["commercial"], ids["sharealike"])
    assert_disjoint(ck, "non_commercial", "sharealike", ids["non_commercial"], ids["sharealike"])
    assert_subset(
        ck, "resolved_commercial", "commercial", ids["resolved_commercial"], ids["commercial"]
    )
    assert_subset(
        ck,
        "train_no_bench_commercial",
        "resolved_commercial",
        ids["train_no_bench_commercial"],
        ids["resolved_commercial"],
    )

    if args.strict_resolved_smiles:
        assert_resolved_equals_smiles(ck, data["commercial"], ids["resolved_commercial"])
    else:
        # Live Hub: 364 hs/smiles missing from resolved — warn
        expected = {r["id"] for r in data["commercial"] if nonempty_smiles(r)}
        miss = expected - ids["resolved_commercial"]
        if miss:
            ck.warn(
                False,
                f"resolved sync: {len(miss)} commercial smiles rows not in resolved "
                f"(enable --strict-resolved-smiles after rebuild)",
            )

    # train_no_bench delta should be benchmark holdout (informational)
    held = ids["resolved_commercial"] - ids["train_no_bench_commercial"]
    print(f"\nresolved − train_no_bench: {len(held)} (expect benchmark IK14 holdout)")

    # --- summary ---
    print("\n== SUMMARY ==")
    for w in ck.warnings:
        print("WARN:", w)
    if ck.failures:
        for f in ck.failures:
            print("FAIL:", f)
        print(f"\nFAILED with {len(ck.failures)} assertion(s), {len(ck.warnings)} warning(s)")
        return 1
    print(f"PASSED with {len(ck.warnings)} warning(s)")
    return 0


if __name__ == "__main__":
    sys.exit(main())