"""Regression checks for public-copy curation and provenance."""
import copy
import hashlib
import json

import pytest

from build_dataset import clean_claim_ids, privacy_issues, public_tool_row, schema_for
from verify import pointer, verify_evidence


def canonical(value):
    return json.dumps(value, sort_keys=True, separators=(",", ":"), ensure_ascii=False, allow_nan=False).encode()


def example_row():
    # Synthetic bookkeeping fixture, not a chemistry observation.
    value = {"line": 7, "ts": "2026-09-17T00:00:00Z", "duration_ms": 1,
             "tool": "fixture_tool", "args": {"smiles": "C", "properties": ["fixture"]},
             "request_id": "fixture-request", "status": "ok",
             "request": {"id": 1, "jsonrpc": "2.0", "method": "tools/call",
                         "params": {"name": "fixture_tool", "arguments": {"smiles": "C", "properties": ["fixture"]},
                                    "_meta": {"workspaces": {"/home/example/private": {"session": "not-public"}}}}},
             "response": {"jsonrpc": "2.0", "id": 1, "result": {
                 "_meta": {"request_id": "fixture-request", "model_version": "fixture-v1"},
                 "structuredContent": {"number": 1.25, "trust_factor": 75.5}}}}
    value["sha256"] = hashlib.sha256(canonical(value)).hexdigest()
    return value


def public_projection():
    original = example_row()
    public, removed = public_tool_row(original)
    return original, public, {
        "request_id": public["request_id"], "tool": public["tool"], "status": public["status"],
        "timestamp": public["ts"], "duration_ms": public["duration_ms"], "source_line": public["line"],
        "row_sha256": public["sha256"], "source_row_sha256": original["sha256"],
        "omitted_metadata_fields": removed, "args_json": json.dumps(public["args"]),
        "response_json": json.dumps(public["response"]), "public_row_json": json.dumps(public),
    }


def test_projection_removes_only_client_metadata():
    original = example_row()
    before = copy.deepcopy(original)
    public, removed = public_tool_row(original)
    assert original == before
    assert public["args"] == original["args"]
    assert public["response"] == original["response"]
    assert public["response"]["result"]["_meta"]["request_id"] == "fixture-request"
    assert removed == ["request.params._meta"]
    assert public["sha256"] != original["sha256"]
    assert not privacy_issues(public)
    assert privacy_issues(original)


def test_public_evidence_hash_checks_the_response():
    original, public, exported = public_projection()
    verify_evidence(exported)
    public["response"]["result"]["structuredContent"]["number"] = 2.5
    exported["response_json"] = json.dumps(public["response"])
    exported["public_row_json"] = json.dumps(public)
    with pytest.raises(AssertionError, match="hash"):
        verify_evidence(exported)


def test_flat_argument_column_cannot_disagree_with_public_row():
    _, _, exported = public_projection()
    exported["args_json"] = json.dumps({"smiles": "CC"})
    with pytest.raises(AssertionError, match="Arguments"):
        verify_evidence(exported)


def test_passed_arithmetic_does_not_override_ineligible_sources():
    record = {"claims": [{"id":"primary", "verdict":"inconclusive"},
                         {"id":"arithmetic", "verdict":"passed"},
                         {"id":"independent", "verdict":"passed"}]}
    confidence = {"primary":{"context_eligible":False},
                  "arithmetic":{"context_eligible":False},
                  "independent":{"context_eligible":True}}
    assert clean_claim_ids(record,confidence) == {"independent"}


def test_schema_supports_nullable_scalars_and_rejects_shape_drift():
    schema = schema_for([{"value":None,"tags":[]}, {"value":1.0,"tags":["low-trust"]}])
    assert schema["properties"]["value"]["type"] == ["null","number"]
    with pytest.raises(ValueError, match="columns"):
        schema_for([{"value":1}, {"unexpected":1}])


def test_pointer_decodes_nested_response_text_and_escaped_keys():
    response = {"result":{"content":[{"text":json.dumps({"a/b":{"~key":1.25}})}]}}
    assert pointer(response,"/result/content/0/text/a~1b/~0key") == 1.25
    with pytest.raises(KeyError):
        pointer(response,"/result/absent")


def test_secret_scan_checks_dictionary_keys_as_well_as_values():
    assert privacy_issues({"workspaces":{"/home/example/private":{}}})
    assert privacy_issues("gh" + "p_" + "x"*40)
    assert not privacy_issues({"request_id":"fixture-request","model":"recorded-model"})