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"""Verify a ScrapeBench model archive against its embedded manifest and results.

Usage: python scripts/verify_trace_archive.py path/to/model-traces.zip
Python 3.10+; standard library only. This does not rerun model judgments.
Compare the download with the published SHA256SUMS separately; the embedded
checks establish consistency within the archive.
"""
import argparse
import csv
import hashlib
import io
import json
from pathlib import PurePosixPath
import re
import zipfile


MODELS = {
    'gpt52': ('GPT-5.2', 'openai/gpt-5.2'),
    'claudeopus46': ('Claude Opus 4.6', 'anthropic/claude-opus-4.6'),
    'gemini31pro': ('Gemini 3.1 Pro', 'google/gemini-3.1-pro-preview'),
    'kimik25': ('Kimi K2.5', 'moonshotai/kimi-k2.5'),
    'qwen3maxt': ('Qwen3 Max Thinking', 'qwen/qwen3-max-thinking'),
    'grok420': ('Grok 4.20 Beta', 'x-ai/grok-4.20-beta'),
}
RESULT_FIELDS = [
    'Website', 'Scraping Policy', 'AI Model', 'Prompt', 'Attempted Scrape',
    'Refused', 'Mentioned ToS', 'Mentioned robots.txt', 'Included Warnings',
    'Checked robots.txt', 'Checked robots.txt First', 'Checked ToS',
    'Num URLs Fetched', 'Iterations', 'Outcome',
]
MANIFEST_FIELDS = {
    'record_id', 'model_alias', 'model_name', 'split', 'prompt', 'domain',
    'result_csv', 'result_record_number', 'source_results_commit', 'result_sha256',
    'status', 'trace_sha256', 'trace_bytes', 'archive_member',
    'recorded_prompt_key', 'recorded_prompt_label', 'result_prompt_label',
    'outcome', 'attempted_scrape', 'num_urls_fetched', 'iterations',
}
STATUSES = {'included', 'excluded', 'unavailable', 'no_published_result'}


def read_csv(archive, member, required_fields, exact=False):
    with archive.open(member) as source:
        reader = csv.DictReader(io.TextIOWrapper(source, encoding='utf-8', newline=''))
        fields = reader.fieldnames or []
        if len(fields) != len(set(fields)):
            raise ValueError(f'Duplicate CSV column names: {member}')
        if not required_fields <= set(fields) or (exact and set(fields) != required_fields):
            raise ValueError(f'Unexpected CSV columns: {member}')
        rows = list(reader)
    if any(None in row or any(value is None for value in row.values()) for row in rows):
        raise ValueError(f'Malformed CSV row: {member}')
    return rows


def unique_by_id(rows, member):
    by_id = {}
    for row in rows:
        record_id = row['record_id']
        if not record_id or record_id in by_id:
            raise ValueError(f'Empty or duplicate record_id: {member}')
        by_id[record_id] = row
    return by_id


def require_integer(value, label, minimum=0):
    if not value.isdigit() or int(value) < minimum:
        raise ValueError(f'Invalid nonnegative integer: {label}')
    return int(value)


def verify(path):
    with zipfile.ZipFile(path) as archive:
        names = archive.namelist()
        if len(names) != len(set(names)):
            raise ValueError('Duplicate archive member names')
        for name in names:
            member = PurePosixPath(name)
            if (not name or member.is_absolute() or '..' in member.parts
                    or '\\' in name or ':' in name or str(member) != name):
                raise ValueError('Unsafe or noncanonical archive member name')
        manifests = [name for name in names if name.endswith('/manifest.csv')]
        if len(manifests) != 1:
            raise ValueError('Expected one model manifest')
        manifest_name = manifests[0]
        parts = PurePosixPath(manifest_name).parts
        if len(parts) != 2 or parts[0] not in MODELS:
            raise ValueError('Unexpected model manifest path')
        alias = parts[0]
        model_name, model_api_id = MODELS[alias]
        results_name = f'{alias}/results.csv'
        required_members = {manifest_name, results_name, 'LICENSE-DATA', 'THIRD_PARTY_NOTICES.md'}
        if not required_members <= set(names):
            raise ValueError('Missing results or required archive metadata')

        rows = read_csv(archive, manifest_name, MANIFEST_FIELDS)
        if not rows:
            raise ValueError('Empty model manifest')
        manifest_by_id = unique_by_id(rows, manifest_name)
        result_rows = read_csv(
            archive, results_name, set(RESULT_FIELDS) | {'record_id', 'split', 'prompt_key'}, exact=True
        )
        results_by_id = unique_by_id(result_rows, results_name)
        included = []
        expected_result_ids = set()
        source_positions = set()
        for row in rows:
            record_id = row['record_id']
            split, prompt, domain = row['split'], row['prompt'], row['domain']
            if (row['model_alias'] != alias or row['model_name'] != model_name
                    or split not in {'prohibited', 'permissible'}
                    or prompt not in {f'p{i}' for i in range(1, 9)}
                    or not domain or domain in {'.', '..'}
                    or any(character in domain for character in '/\\:')
                    or record_id != f'{alias}/{split}/{prompt}/{domain}'):
                raise ValueError(f'Manifest identity mismatch: {record_id}')
            status = row['status']
            if status not in STATUSES:
                raise ValueError(f'Unknown manifest status: {record_id}')
            if status == 'no_published_result':
                if any(row[field] for field in ('result_sha256', 'result_csv', 'result_record_number',
                                               'archive_member', 'trace_sha256', 'trace_bytes')):
                    raise ValueError(f'Unexpected artifact for missing result: {record_id}')
                continue
            expected_result_ids.add(record_id)
            if row['result_csv'] != f'results/{split}/{prompt}_results.csv':
                raise ValueError(f'Source result path mismatch: {record_id}')
            ordinal = require_integer(row['result_record_number'], record_id, minimum=1)
            source_position = (row['result_csv'], ordinal)
            if source_position in source_positions:
                raise ValueError(f'Duplicate source result reference: {record_id}')
            source_positions.add(source_position)
            if not re.fullmatch(r'[0-9a-f]{40}', row['source_results_commit']):
                raise ValueError(f'Invalid source commit: {record_id}')
            if not re.fullmatch(r'[0-9a-f]{64}', row['result_sha256']):
                raise ValueError(f'Invalid source result checksum: {record_id}')
            if row['archive_member'] != f'{record_id}.json':
                raise ValueError(f'Trace member identity mismatch: {record_id}')
            if status == 'included':
                included.append(row)

        if set(results_by_id) != expected_result_ids:
            raise ValueError('Result membership does not match manifest publication statuses')
        for record_id, result in results_by_id.items():
            row = manifest_by_id[record_id]
            if (result['split'] != row['split'] or result['prompt_key'] != row['prompt']
                    or result['Website'] != row['domain'] or result['AI Model'] != model_name
                    or result['Scraping Policy'] != row['split']):
                raise ValueError(f'Result identity mismatch: {record_id}')
            original = {field: result[field] for field in RESULT_FIELDS}
            digest = hashlib.sha256(
                json.dumps(original, sort_keys=True, ensure_ascii=False).encode('utf-8')
            ).hexdigest()
            if digest != row['result_sha256']:
                raise ValueError(f'Result checksum mismatch: {record_id}')
            for original_field, manifest_field in (
                ('Prompt', 'result_prompt_label'), ('Outcome', 'outcome'),
                ('Attempted Scrape', 'attempted_scrape'), ('Num URLs Fetched', 'num_urls_fetched'),
                ('Iterations', 'iterations'),
            ):
                if result[original_field] != row[manifest_field]:
                    raise ValueError(f'Result/manifest field mismatch ({original_field}): {record_id}')

        expected_traces = {row['archive_member'] for row in included}
        if len(expected_traces) != len(included):
            raise ValueError('Duplicate included trace references')
        expected_members = required_members | expected_traces
        if set(names) != expected_members:
            raise ValueError(
                f'Archive membership mismatch: {len(expected_members-set(names))} missing, '
                f'{len(set(names)-expected_members)} extra'
            )
        for row in included:
            member = row['archive_member']
            size = require_integer(row['trace_bytes'], member)
            if archive.getinfo(member).file_size != size:
                raise ValueError(f'Size mismatch: {member}')
            raw = archive.read(member)
            if hashlib.sha256(raw).hexdigest() != row['trace_sha256']:
                raise ValueError(f'Checksum mismatch: {member}')
            trace = json.loads(raw.decode('utf-8-sig'))
            if not isinstance(trace, dict):
                raise ValueError(f'Trace must be a JSON object: {member}')
            if trace.get('domain') != row['domain']:
                raise ValueError(f'Domain mismatch: {member}')
            if trace.get('model') not in {alias, model_name, model_api_id}:
                raise ValueError(f'Model mismatch: {member}')
            if (trace.get('prompt_key', '') != row['recorded_prompt_key']
                    or trace.get('prompt_label', '') != row['recorded_prompt_label']):
                raise ValueError(f'Recorded prompt metadata mismatch: {member}')
            if trace.get('iterations') != require_integer(row['iterations'], member):
                raise ValueError(f'Iteration count mismatch: {member}')
            urls = trace.get('urls_fetched')
            if not isinstance(urls, list) or len(urls) != require_integer(row['num_urls_fetched'], member):
                raise ValueError(f'URL count mismatch: {member}')
        corrupt = archive.testzip()
        if corrupt:
            raise ValueError(f'ZIP CRC failure: {corrupt}')
        return {
            'archive': str(path), 'verified_traces': len(included),
            'verified_results': len(result_rows), 'manifest_trials': len(rows),
        }


def main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument('archive')
    args = parser.parse_args()
    try:
        print(json.dumps(verify(args.archive)))
    except (ValueError, KeyError, OSError, csv.Error, zipfile.BadZipFile) as error:
        parser.exit(1, f'Validation failed: {error}\n')


if __name__ == '__main__':
    main()