"""Validate local release contracts. No network calls or remote mutations.
Requires requirements-validation.txt. Reports checks to stdout; changes no files.
"""
from __future__ import annotations
import csv
import hashlib
import json
import math
from pathlib import Path
import re
import sys

import jsonschema
import yaml
from huggingface_hub import DatasetCard

ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT / "publisher"))
from publish import verify_local


def digest(path):
    return hashlib.sha256(path.read_bytes()).hexdigest()


def main():
    checks = []
    release, expected = verify_local(ROOT)
    checks.append("Checksum allowlist, required files, safe paths and token-pattern scan")
    for file in ROOT.rglob("*.json"):
        if ".venv" not in str(file):
            json.loads(file.read_text(encoding="utf-8"))
    checks.append("JSON artifacts parse")
    baseline = json.loads((ROOT/"validation/SCIENTIFIC_BASELINE_SHA256.json").read_text())
    for relative, expected_sha in baseline["files"].items():
        assert digest(ROOT/relative) == expected_sha, relative
    checks.append(f"{len(baseline['files'])} original scientific files preserved byte for byte")
    for change in baseline.get("formatting_only_changes", []):
        content = (ROOT/change["path"]).read_text(encoding="utf-8")
        assert content.count(change["replacement"]) == 1
        original = content.replace(change["replacement"], change["original"])
        assert hashlib.sha256(original.encode()).hexdigest() == change["original_sha256"]
    checks.append("Supplement differs only by its recorded inline-math formatting correction")
    export = json.loads((ROOT/"data/export_manifest.json").read_text())
    rows_by_config = {}
    for name, record in export["configs"].items():
        file = ROOT/record["path"]
        assert digest(file) == record["sha256"], name
        rows = [json.loads(line) for line in file.read_text(encoding="utf-8").splitlines()]
        assert len(rows) == record["rows"], name
        schema = json.loads((ROOT/"schemas"/(name+".schema.json")).read_text())
        jsonschema.Draft202012Validator.check_schema(schema)
        validator = jsonschema.Draft202012Validator(schema)
        for row in rows:
            validator.validate(row)
            if "source_sha256" in row:
                assert digest(ROOT/row["source_path"]) == row["source_sha256"], row
        rows_by_config[name] = rows
    checks.append("Six JSONL configurations: counts, hashes, strict schemas and source provenance")
    readme = (ROOT/"README.md").read_text(encoding="utf-8")
    metadata = yaml.safe_load(readme.split("---", 2)[1])
    DatasetCard(readme)  # local SDK parser only; no .validate() network call
    configs = metadata["configs"]
    assert {c["config_name"] for c in configs} == set(rows_by_config)
    for config in configs:
        assert config["data_files"][0]["path"] == export["configs"][config["config_name"]]["path"]
    assert sum(bool(c.get("default")) for c in configs) == 1
    assert metadata["license"] == "cc-by-4.0"
    checks.append("Hub dataset card parses; six explicit configs and one default map to real files")
    for document in {row["source_path"] for row in rows_by_config["research_sections"]}:
        chunks = [r for r in rows_by_config["research_sections"] if r["source_path"] == document]
        source = (ROOT/document).read_text(encoding="utf-8")
        assert "".join(row["text"] for row in chunks) == source
        lines = source.splitlines(keepends=True)
        for row in chunks:
            assert row["text"] == "".join(lines[row["source_line_start"]-1:row["source_line_end"]])
            assert hashlib.sha256(row["text"].encode()).hexdigest() == row["text_sha256"]
    checks.append("All three scientific text sources reconstructed exactly from retrieval chunks")
    raw_csv = {}
    for row in rows_by_config["kinetic_runs"]:
        name = row["source_path"]
        if name not in raw_csv:
            with (ROOT/name).open(newline="") as stream:
                raw_csv[name] = list(csv.DictReader(stream))
        source = raw_csv[name][row["source_row"]-2]
        for key, value in source.items():
            if key == "mode":
                assert row[key] == value
            else:
                assert float(row[key]) == float(value)
        fractions = [row[key] for key in ("correct_fraction", "wrong_fraction", "missing_fraction")]
        assert all(-1e-12 <= value <= 1+1e-12 for value in fractions)
        assert abs(sum(fractions)-1) < 1e-10
        assert all(math.isfinite(value) for value in row.values() if isinstance(value, (float, int)))
    checks.append("775 kinetic records agree field by field with raw CSV and retain normalized outcomes")
    code = [row["symbols"] for row in rows_by_config["interface_codebook"]]
    assert len(code) == 128
    assert min(sum(a != b for a,b in zip(x,y)) for i,x in enumerate(code) for y in code[i+1:]) == 3
    with (ROOT/"results/example_codebook.csv").open() as stream:
        assert code == [list(map(int,row)) for row in csv.reader(stream)]
    checks.append("All 128 headerless source codewords retained; minimum Hamming distance is three")
    for row in rows_by_config["claims"]:
        assert (ROOT/row["evidence_path"]).is_file(), row["id"]
    checks.append("Twelve claim records resolve to evidence files")
    cff = yaml.safe_load((ROOT/"CITATION.cff").read_text())
    assert cff["cff-version"] == "1.2.0" and cff["type"] == "dataset"
    assert cff["authors"][0]["name"] == release["author"]
    assert cff["version"] == release["release_version"] == "1.0.1"
    assert cff["url"] == release["repository_url"]
    checks.append("Citation identity, version and canonical destination are consistent")
    # File links only. Remote accessibility and renderer-specific anchor slugs
    # are intentionally not asserted by this offline check.
    checked_links = 0
    for file in ROOT.rglob("*.md"):
        content = file.read_text(encoding="utf-8")
        content = re.sub(r"\$\$.*?\$\$", "", content, flags=re.S)
        content = re.sub(r"\$[^\n$]+\$", "", content)
        for target in re.findall(r"\[[^\]\n]+\]\(([^)]+)\)", content):
            if re.match(r"[a-zA-Z][a-zA-Z0-9+.-]*:", target) or target.startswith("#"):
                continue
            relative = target.split("#",1)[0]
            if relative:
                assert (file.parent/relative).exists(), (str(file.relative_to(ROOT)), target)
                checked_links += 1
    checks.append(f"{checked_links} local Markdown file links resolve")
    bat = (ROOT/"PUBLISH_TO_HUGGINGFACE.bat").read_bytes()
    assert b"--publish --open" in bat and b"DisableDelayedExpansion" in bat
    assert b"\r\n" in bat and b"\n" not in bat.replace(b"\r\n",b"")
    checks.append("Windows launcher has CRLF lines and fixed publisher target")
    print(json.dumps({"status":"passed", "checks": checks,
        "data_records":sum(len(rows) for rows in rows_by_config.values()),
        "checksum_listed_files_including_manifest":len(expected),
        "not_validated_here":["actual authenticated Hub upload", "Windows execution",
                              "Hub Dataset Viewer ingestion", "physical science premises"]}, indent=2))


if __name__ == "__main__":
    main()