[
  {
    "id": "149b0ac0-9db2-47d0-b674-c453f7c2d37d",
    "sort_order": 0,
    "rubric_text": "The inbound_receiving_log.xlsx file must contain a data row where: the Expected Pallets and Actual Pallets column both contain 24; the Actual Cases column contains 474; the three Temp Reading columns collectively contain −4.5, −6.0 (alternatively −6), and −7.5 in any order; the Variance (Cases) column contains −6; the Lot Codes Received column contains 'A-20260519-01'; the Disposition column contains both 'quarantine' (or 'quarantined') and 'H-Q'; and the Status column contains exactly 'P2 – Compound event.'",
    "verifier_code": "from pathlib import Path\nimport re\n\ndef verify(workspace_path, external_services_path=None):\n    ws = Path(workspace_path)\n\n    # Find the receiving log xlsx file\n    xlsx_files = list(ws.rglob('*.xlsx'))\n    log_file = None\n    for f in xlsx_files:\n        if 'receiv' in f.name.lower() or 'log' in f.name.lower():\n            log_file = f\n            break\n    if log_file is None and xlsx_files:\n        log_file = xlsx_files[0]\n\n    if log_file is None:\n        return {'pass': False, 'score': 0.0, 'feedback': 'No .xlsx file found in workspace.'}\n\n    try:\n        import openpyxl\n        wb = openpyxl.load_workbook(log_file)\n    except Exception as e:\n        return {'pass': False, 'score': 0.0, 'feedback': f'Failed to open {log_file.name}: {e}'}\n\n    best_result = None\n    best_score = -1\n\n    for ws_sheet in wb.worksheets:\n        rows = list(ws_sheet.iter_rows(values_only=True))\n        if len(rows) < 2:\n            continue\n\n        # Find header row\n        header_row_idx = None\n        headers = []\n        for i, row in enumerate(rows):\n            non_none = [c for c in row if c is not None]\n            if len(non_none) >= 3:\n                header_row_idx = i\n                headers = [str(c).strip().lower() if c is not None else '' for c in row]\n                break\n\n        if header_row_idx is None:\n            continue\n\n        def find_col(patterns):\n            results = []\n            for idx, h in enumerate(headers):\n                for p in patterns:\n                    if p in h:\n                        results.append(idx)\n                        break\n            return results\n\n        expected_pallet_cols = find_col(['expected pallet'])\n        actual_pallet_cols = find_col(['actual pallet'])\n        pallet_cols = find_col(['pallet'])\n        actual_case_cols = find_col(['actual case'])\n        case_cols = find_col(['case'])\n        temp_cols = find_col(['temp'])\n        variance_cols = find_col(['variance'])\n        lot_cols = find_col(['lot'])\n        disposition_cols = find_col(['disposition'])\n        status_cols = find_col(['status'])\n\n        data_rows = rows[header_row_idx + 1:]\n        for row in data_rows:\n            row_str_list = [str(c).strip() if c is not None else '' for c in row]\n            row_lower = ' '.join(row_str_list).lower()\n\n            non_empty = [c for c in row if c is not None and str(c).strip() != '']\n            if len(non_empty) < 3:\n                continue\n\n            def get_vals(col_indices):\n                vals = []\n                for ci in col_indices:\n                    if ci < len(row) and row[ci] is not None:\n                        vals.append(row[ci])\n                return vals\n\n            def num_eq(val, target, tol=0.5):\n                try:\n                    return abs(float(val) - target) < tol\n                except (ValueError, TypeError):\n                    s = str(val).replace('\\u2212', '-').replace('\\u2013', '-').replace('\\u2014', '-')\n                    m = re.search(r'-?\\d+\\.?\\d*', s)\n                    if m:\n                        try:\n                            return abs(float(m.group()) - target) < tol\n                        except:\n                            pass\n                    return False\n\n            # Check Expected Pallets = 24\n            expected_pallet_ok = False\n            for v in get_vals(expected_pallet_cols):\n                if num_eq(v, 24, 0.5):\n                    expected_pallet_ok = True\n            if not expected_pallet_ok:\n                for v in get_vals(pallet_cols):\n                    if num_eq(v, 24, 0.5):\n                        expected_pallet_ok = True\n                        break\n            if not expected_pallet_ok:\n                for v in row:\n                    if v is not None and num_eq(v, 24, 0.5):\n                        expected_pallet_ok = True\n                        break\n\n            # Check Actual Pallets = 24\n            actual_pallet_ok = False\n            for v in get_vals(actual_pallet_cols):\n                if num_eq(v, 24, 0.5):\n                    actual_pallet_ok = True\n            if not actual_pallet_ok:\n                for v in get_vals(pallet_cols):\n                    if num_eq(v, 24, 0.5):\n                        actual_pallet_ok = True\n                        break\n            if not actual_pallet_ok:\n                for v in row:\n                    if v is not None and num_eq(v, 24, 0.5):\n                        actual_pallet_ok = True\n                        break\n\n            pallets_ok = expected_pallet_ok and actual_pallet_ok\n\n            # Check Actual Cases = 474\n            cases_ok = False\n            for v in get_vals(actual_case_cols):\n                if num_eq(v, 474, 0.5):\n                    cases_ok = True\n            if not cases_ok:\n                for v in get_vals(case_cols):\n                    if num_eq(v, 474, 0.5):\n                        cases_ok = True\n                        break\n            if not cases_ok:\n                for v in row:\n                    if v is not None and num_eq(v, 474, 0.5):\n                        cases_ok = True\n                        break\n\n            # Check temps: need -4.5, -6.0 (or -6), -7.5\n            temp_vals_raw = get_vals(temp_cols)\n            if not temp_vals_raw:\n                temp_vals_raw = [v for v in row if v is not None]\n\n            temp_nums = []\n            for v in temp_vals_raw:\n                try:\n                    temp_nums.append(float(v))\n                except (ValueError, TypeError):\n                    s = str(v).replace('\\u2212', '-').replace('\\u2013', '-').replace('\\u2014', '-')\n                    matches = re.findall(r'-?\\d+\\.?\\d*', s)\n                    for m in matches:\n                        try:\n                            temp_nums.append(float(m))\n                        except:\n                            pass\n\n            has_neg4_5 = any(abs(t - (-4.5)) < 0.15 for t in temp_nums)\n            has_neg6 = any(abs(t - (-6.0)) < 0.15 for t in temp_nums)\n            has_neg7_5 = any(abs(t - (-7.5)) < 0.15 for t in temp_nums)\n            temps_ok = has_neg4_5 and has_neg6 and has_neg7_5\n\n            # Check variance = -6\n            variance_ok = False\n            for v in get_vals(variance_cols):\n                if num_eq(v, -6, 0.5):\n                    variance_ok = True\n            if not variance_ok:\n                for v in get_vals(variance_cols):\n                    s = str(v).replace('\\u2212', '-').replace('\\u2013', '-')\n                    if re.search(r'-\\s*6(\\.0)?\\s*$', s.strip()):\n                        variance_ok = True\n\n            # Check lot code A-20260519-01\n            lot_ok = False\n            for v in get_vals(lot_cols):\n                if 'a-20260519-01' in str(v).lower():\n                    lot_ok = True\n            if not lot_ok:\n                if 'a-20260519-01' in row_lower:\n                    lot_ok = True\n\n            # Check disposition: quarantine/quarantined AND H-Q\n            disp_vals = get_vals(disposition_cols)\n            disp_text = ' '.join(str(v) for v in disp_vals).lower() if disp_vals else row_lower\n            disp_text_norm = disp_text.replace('\\u2212', '-').replace('\\u2013', '-')\n            quarantine_ok = bool(re.search(r'quarantin', disp_text_norm))\n            hq_ok = bool(re.search(r'h[\\-\\s]?q', disp_text_norm))\n\n            # Check status: P2 - Compound event (with flexible dash)\n            status_vals = get_vals(status_cols)\n            status_text = ' '.join(str(v) for v in status_vals).lower() if status_vals else row_lower\n            status_text_norm = status_text.replace('\\u2212', '-').replace('\\u2013', '-').replace('\\u2014', '-')\n            has_p2 = bool(re.search(r'p\\s*2', status_text_norm))\n            has_compound = bool(re.search(r'compound\\s*event', status_text_norm))\n            status_ok = has_p2 and has_compound\n\n            checks = [\n                ('Expected Pallets = 24', expected_pallet_ok),\n                ('Actual Pallets = 24', actual_pallet_ok),\n                ('Actual Cases = 474', cases_ok),\n                ('Temp -4.5', has_neg4_5),\n                ('Temp -6.0/-6', has_neg6),\n                ('Temp -7.5', has_neg7_5),\n                ('Variance (Cases) = -6', variance_ok),\n                ('Lot Code A-20260519-01', lot_ok),\n                ('Disposition: quarantine', quarantine_ok),\n                ('Disposition: H-Q', hq_ok),\n                ('Status: P2', has_p2),\n                ('Status: Compound event', has_compound),\n            ]\n\n            passed_checks = [name for name, ok in checks if ok]\n            failed_checks = [name for name, ok in checks if not ok]\n            score = len(passed_checks) / len(checks)\n\n            if score > best_score:\n                best_score = score\n                if not failed_checks:\n                    best_result = {\n                        'pass': True,\n                        'score': 1.0,\n                        'feedback': f'All required fields found in {log_file.name}: {\", \".join(passed_checks)}.'\n                    }\n                else:\n                    best_result = {\n                        'pass': False,\n                        'score': score,\n                        'feedback': f'In {log_file.name}, found: {\", \".join(passed_checks)}. Missing: {\", \".join(failed_checks)}. Row values: {row_str_list}'\n                    }\n\n    if best_result is not None and best_score >= 0.4:\n        return best_result\n\n    # Fallback: read all text from all files and do loose matching\n    candidates = set()\n    for pattern in ['*.txt', '*.md', '*.csv', '*.json', '*.log']:\n        candidates.update(ws.glob(pattern))\n    candidates.update(ws.rglob('*receiv*'))\n    candidates.update(ws.rglob('*log*'))\n    candidates.update(ws.rglob('*.xlsx'))\n    candidates.update(ws.rglob('*.csv'))\n    candidates.update(ws.rglob('*.txt'))\n    candidates.update(ws.rglob('*.md'))\n\n    all_text = ''\n    files_read = []\n\n    for f in candidates:\n        try:\n            if f.is_dir():\n                continue\n            if f.suffix.lower() == '.xlsx':\n                import openpyxl as oxl\n                wb2 = oxl.load_workbook(f)\n                for s in wb2.worksheets:\n                    for row in s.iter_rows(values_only=True):\n                        for cell in row:\n                            if cell is not None:\n                                all_text += str(cell) + ' '\n                files_read.append(str(f.name))\n            elif f.suffix.lower() == '.docx':\n                from docx import Document\n                doc = Document(f)\n                content = ' '.join([p.text for p in doc.paragraphs])\n                all_text += content + ' '\n                files_read.append(str(f.name))\n            else:\n                content = f.read_text(encoding='utf-8', errors='ignore')\n                all_text += content + ' '\n                files_read.append(str(f.name))\n        except Exception:\n            continue\n\n    if not all_text.strip():\n        return {'pass': False, 'score': 0.0, 'feedback': 'No readable content found in workspace.'}\n\n    normalized = all_text.replace('\\u2212', '-').replace('\\u2013', '-').replace('\\u2014', '-').replace('\\u00b0', ' ')\n    text_lower = normalized.lower()\n\n    checks = []\n\n    # 1. pallets 24\n    checks.append(('Pallets 24', '24' in text_lower))\n\n    # 2. cases 474\n    checks.append(('Actual Cases 474', '474' in text_lower))\n\n    # 3. temps\n    checks.append(('Temp -4.5', bool(re.search(r'-\\s*4\\.5', normalized))))\n    checks.append(('Temp -6.0/-6', bool(re.search(r'-\\s*6\\.0', normalized) or re.search(r'-\\s*6(?![\\d.])', normalized))))\n    checks.append(('Temp -7.5', bool(re.search(r'-\\s*7\\.5', normalized))))\n\n    # 4. variance -6\n    checks.append(('Variance -6', bool(re.search(r'-\\s*6', normalized))))\n\n    # 5. lot code\n    checks.append(('Lot Code A-20260519-01', 'a-20260519-01' in text_lower))\n\n    # 6. quarantine\n    checks.append(('Disposition: quarantine', bool(re.search(r'quarantin', text_lower))))\n\n    # 7. H-Q\n    checks.append(('Disposition: H-Q', bool(re.search(r'h[\\-\\s]?q', text_lower))))\n\n    # 8. P2\n    checks.append(('Status: P2', bool(re.search(r'p[\\-\\s]?2', text_lower))))\n\n    # 9. Compound event\n    checks.append(('Status: Compound event', bool(re.search(r'compound\\s*event', text_lower))))\n\n    passed_checks = [name for name, ok in checks if ok]\n    failed_checks = [name for name, ok in checks if not ok]\n    score = len(passed_checks) / len(checks) if checks else 0.0\n\n    if not failed_checks:\n        return {'pass': True, 'score': 1.0, 'feedback': f'All required fields found (fallback text search): {\", \".join(passed_checks)}. Files: {\", \".join(files_read[:10])}'}\n    else:\n        return {'pass': False, 'score': score, 'feedback': f'Missing: {\", \".join(failed_checks)}. Found: {\", \".join(passed_checks)}. Files: {\", \".join(files_read[:10])}'}\n",
    "criterion_type": "expected_output"
  },
  {
    "id": "a20b335b-2dbd-4e0c-8f52-1500a16fd68f",
    "sort_order": 1,
    "rubric_text": "A message posted to the #dc-escalations Slack channel must begin with 'P2 escalation. Compound.' [exact string, 'compound event' not acceptable], contain manifest number '2026-05-20-001', contain the exact phrase 'Escalated to Director of Supply Chain.', and contain the exact phrase 'Incident report: awaiting Director decision.' The Detail and Action required fields may contain any text.",
    "verifier_code": "from pathlib import Path\nimport json\nimport re\n\ndef verify(workspace_path, external_services_path=None):\n    if external_services_path is None:\n        return {'pass': False, 'score': 0.0, 'feedback': 'external_services_path is None; cannot check slack_data.json'}\n\n    slack_path = Path(external_services_path) / 'slack_data.json'\n    if not slack_path.exists():\n        return {'pass': False, 'score': 0.0, 'feedback': 'slack_data.json not found at external_services_path'}\n\n    with open(slack_path, 'r', encoding='utf-8') as f:\n        data = json.load(f)\n\n    # Find the #dc-escalations channel\n    channels = data.get('channels', {})\n    escalation_channel_id = None\n    for cid, cinfo in channels.items():\n        cname = str(cinfo.get('name', '')).lower().strip()\n        if cname == 'dc-escalations':\n            escalation_channel_id = cid\n            break\n\n    if escalation_channel_id is None:\n        return {'pass': False, 'score': 0.0, 'feedback': 'Could not find #dc-escalations channel in slack_data.json. Channels found: ' + str([c.get('name', '') for c in channels.values()])}\n\n    # Get messages in that channel\n    messages_by_channel = data.get('messages', {})\n    channel_messages = messages_by_channel.get(escalation_channel_id, [])\n\n    if not channel_messages:\n        return {'pass': False, 'score': 0.0, 'feedback': f'No messages found in #dc-escalations channel (channel ID: {escalation_channel_id})'}\n\n    # Score each message to find the best candidate\n    best_msg = None\n    best_score = -1\n\n    for msg in channel_messages:\n        text = str(msg.get('text', ''))\n        text_lower = text.lower()\n        score = 0\n        if text_lower.lstrip().startswith('p2 escalation'):\n            score += 5\n        if '2026-05-20-001' in text:\n            score += 5\n        if 'compound' in text_lower:\n            score += 3\n        if 'director of supply chain' in text_lower:\n            score += 3\n        if 'awaiting director decision' in text_lower:\n            score += 3\n        if score > best_score:\n            best_score = score\n            best_msg = msg\n\n    if best_msg is None or best_score <= 0:\n        texts_preview = [str(m.get('text', ''))[:80] for m in channel_messages[:5]]\n        return {'pass': False, 'score': 0.0, 'feedback': f'No plausible escalation message found in #dc-escalations among {len(channel_messages)} messages. Previews: {texts_preview}'}\n\n    text = str(best_msg.get('text', ''))\n    text_lower = text.lower()\n\n    failures = []\n    details = []\n\n    # (1) Must begin with 'P2 escalation. Compound.' [exact string, 'compound event' not acceptable]\n    # The rubric says exact string 'P2 escalation. Compound.' at the start.\n    # We check case-insensitively for leniency, and allow minor whitespace variations,\n    # but 'compound' must appear as a standalone word (not 'compound event' replacing it).\n    # The key distinction: must say 'Compound' (with period/punctuation after), NOT 'Compound event'.\n    start_pattern = re.compile(r'(?i)^\\s*p2\\s+escalation\\.\\s*compound\\s*\\.', re.DOTALL)\n    if start_pattern.search(text):\n        # Additionally verify it doesn't say 'compound event' right at the start\n        bad_pattern = re.compile(r'(?i)^\\s*p2\\s+escalation\\.\\s*compound\\s+event', re.DOTALL)\n        if bad_pattern.search(text):\n            failures.append(f\"(1) Message begins with 'P2 escalation. Compound event...' but rubric requires exactly 'P2 escalation. Compound.' (not 'compound event'). Start: '{text[:80]}...'\")\n        else:\n            details.append(\"(1) Message begins with 'P2 escalation. Compound.' \\u2713\")\n    else:\n        failures.append(f\"(1) Message must begin with 'P2 escalation. Compound.' but starts with: '{text[:80]}...'\")\n\n    # (2) Must contain manifest number '2026-05-20-001'\n    if '2026-05-20-001' in text:\n        details.append(\"(2) Manifest number '2026-05-20-001' found \\u2713\")\n    else:\n        failures.append(\"(2) Manifest number '2026-05-20-001' not found in message\")\n\n    # (3) Must contain the exact phrase 'Escalated to Director of Supply Chain.'\n    # Be loose: case-insensitive, allow with or without trailing period\n    if re.search(r'(?i)escalated\\s+to\\s+director\\s+of\\s+supply\\s+chain\\.?', text):\n        details.append(\"(3) 'Escalated to Director of Supply Chain.' found \\u2713\")\n    else:\n        failures.append(\"(3) Exact phrase 'Escalated to Director of Supply Chain.' not found in message\")\n\n    # (4) Must contain the exact phrase 'Incident report: awaiting Director decision.'\n    # Be loose: case-insensitive, allow with or without trailing period, flexible colon/space\n    if re.search(r'(?i)incident\\s+report\\s*[:\\-]\\s*awaiting\\s+director\\s+decision\\.?', text):\n        details.append(\"(4) 'Incident report: awaiting Director decision.' found \\u2713\")\n    else:\n        failures.append(\"(4) Exact phrase 'Incident report: awaiting Director decision.' not found in message\")\n\n    if failures:\n        feedback = 'Escalation message verification failures: ' + '; '.join(failures)\n        if details:\n            feedback += ' | Passed: ' + '; '.join(details)\n        feedback += f' | Message preview: {text[:400]}'\n        return {'pass': False, 'score': 0.0, 'feedback': feedback}\n\n    return {'pass': True, 'score': 1.0, 'feedback': 'All #dc-escalations message criteria satisfied. ' + '; '.join(details)}\n",
    "criterion_type": "expected_output"
  },
  {
    "id": "98ee41bc-57a2-4c54-a5c1-57bf70a8aee9",
    "sort_order": 2,
    "rubric_text": "A sent email in mailbox.json must be addressed To: daniel.reyes@prairiestar.com only, CC: carlos.mendoza@prairiestar.com and jacob.patel@prairiestar.com with no additional recipients, have a subject containing 'P2', 'Compound Event', '2026-05-20-001', and '2026-05-20', and have a body containing all three temperature readings −4.5, −6.0 (alternatively −6), and −7.5, 'Tier 3', variance of −6 cases and 1.25%, 'Moderate' as the variance classification, 'quarantined to H-Q', and 'Director assessment required' [exact string].",
    "verifier_code": "from pathlib import Path\nimport json\nimport re\n\ndef verify(workspace_path, external_services_path=None):\n    if external_services_path is None:\n        return {'pass': False, 'score': 0.0, 'feedback': 'external_services_path is None; cannot check mailbox.json'}\n\n    mailbox_path = Path(external_services_path) / 'mailbox.json'\n    if not mailbox_path.exists():\n        return {'pass': False, 'score': 0.0, 'feedback': 'mailbox.json not found'}\n\n    with open(mailbox_path, 'r', encoding='utf-8') as f:\n        data = json.load(f)\n\n    sent_emails = [e for e in data.get('emails', []) if e.get('folder', '').lower() == 'sent']\n\n    if not sent_emails:\n        return {'pass': False, 'score': 0.0, 'feedback': 'No sent emails found in mailbox.json'}\n\n    # Find the escalation email - look for one addressed to daniel.reyes\n    matching_email = None\n    for email in sent_emails:\n        to_addr = (email.get('to_addr') or email.get('to') or '').lower()\n        if 'daniel.reyes@prairiestar.com' in to_addr:\n            matching_email = email\n            break\n\n    if matching_email is None:\n        # Fallback: look for email with P2 in subject or relevant content\n        for email in sent_emails:\n            subject = (email.get('subject') or '').lower()\n            body = (email.get('body_text') or email.get('body') or '').lower()\n            if 'p2' in subject or ('quarantine' in body and 'h-q' in body):\n                matching_email = email\n                break\n\n    if matching_email is None:\n        return {'pass': False, 'score': 0.0, 'feedback': 'No escalation email found in sent folder addressed to daniel.reyes@prairiestar.com'}\n\n    failures = []\n\n    # --- Check TO field ---\n    to_addr = (matching_email.get('to_addr') or matching_email.get('to') or '').lower().strip()\n    if 'daniel.reyes@prairiestar.com' not in to_addr:\n        failures.append('To field does not contain daniel.reyes@prairiestar.com')\n    else:\n        to_emails = re.findall(r'[\\w.+-]+@[\\w.-]+', to_addr)\n        to_emails_filtered = [e for e in to_emails if e != 'daniel.reyes@prairiestar.com']\n        if to_emails_filtered:\n            failures.append(f'To field contains additional recipients beyond daniel.reyes@prairiestar.com: {to_emails_filtered}')\n\n    # --- Check CC field ---\n    cc_addr = (matching_email.get('cc_addr') or matching_email.get('cc') or '').lower().strip()\n    cc_emails = re.findall(r'[\\w.+-]+@[\\w.-]+', cc_addr)\n    required_cc = {'carlos.mendoza@prairiestar.com', 'jacob.patel@prairiestar.com'}\n    cc_set = set(cc_emails)\n    missing_cc = required_cc - cc_set\n    extra_cc = cc_set - required_cc\n    if missing_cc:\n        failures.append(f'CC field missing required recipients: {missing_cc}')\n    if extra_cc:\n        failures.append(f'CC field contains extra recipients: {extra_cc}')\n\n    # --- Check Subject ---\n    subject = matching_email.get('subject') or ''\n    subject_lower = subject.lower()\n    if 'p2' not in subject_lower:\n        failures.append('Subject does not contain P2')\n    if 'compound event' not in subject_lower:\n        failures.append('Subject does not contain Compound Event')\n    if '2026-05-20-001' not in subject:\n        failures.append('Subject does not contain 2026-05-20-001')\n    if '2026-05-20' not in subject:\n        failures.append('Subject does not contain 2026-05-20')\n\n    # --- Check Body ---\n    body = matching_email.get('body_text') or matching_email.get('body') or ''\n    # Normalize unicode minus signs and en-dashes to regular minus/hyphen\n    normalized_body = body.replace('\\u2212', '-').replace('\\u2013', '-').replace('\\u2014', '-').replace('\\u00b0', ' ')\n    normalized_lower = normalized_body.lower()\n\n    # Temperature readings: -4.5, -6.0 (or -6), -7.5\n    if not re.search(r'[-]\\s*4\\.5', normalized_lower):\n        failures.append('Body does not contain temperature reading -4.5 (or \\u22124.5)')\n\n    # -6.0 or -6 (but distinguish from -6 in other contexts like variance)\n    has_minus6 = bool(re.search(r'[-]\\s*6\\.0', normalized_lower)) or bool(re.search(r'[-]\\s*6(?:\\b|\\s|f|$|,|\\)|\\*|\\xb0)', normalized_lower))\n    if not has_minus6:\n        failures.append('Body does not contain temperature reading -6.0 or -6 (or \\u22126.0/\\u22126)')\n\n    if not re.search(r'[-]\\s*7\\.5', normalized_lower):\n        failures.append('Body does not contain temperature reading -7.5 (or \\u22127.5)')\n\n    # Tier 3\n    if not re.search(r'tier[\\s\\-_]*3', normalized_lower):\n        failures.append('Body does not contain Tier 3')\n\n    # Variance: -6 cases and 1.25%\n    has_variance_cases = bool(re.search(r'[-]\\s*6\\s*case', normalized_lower)) or \\\n                         bool(re.search(r'varianc.{0,80}[-]\\s*6', normalized_lower)) or \\\n                         bool(re.search(r'[-]\\s*6.{0,30}case', normalized_lower)) or \\\n                         bool(re.search(r'shortage.{0,30}6', normalized_lower)) or \\\n                         bool(re.search(r'short.{0,30}6\\s*case', normalized_lower)) or \\\n                         bool(re.search(r'6\\s*case.{0,30}short', normalized_lower))\n    if not has_variance_cases:\n        failures.append('Body does not state variance of -6 cases')\n\n    if '1.25' not in normalized_body:\n        failures.append('Body does not state variance percentage 1.25%')\n    else:\n        # Check if 1.25 is near a percent sign or the word percent\n        if not re.search(r'1\\.25\\s*(%|percent)', normalized_lower):\n            failures.append('Body contains 1.25 but not clearly as 1.25%')\n\n    # 'Moderate'\n    if 'moderate' not in normalized_lower:\n        failures.append('Body does not contain Moderate')\n\n    # 'quarantined to H-Q' - check that quarantined and H-Q are present and near each other\n    if 'h-q' not in normalized_lower and 'h\\u2011q' not in normalized_lower:\n        failures.append('Body does not contain H-Q')\n    if 'quarantine' not in normalized_lower and 'quarantined' not in normalized_lower:\n        failures.append('Body does not contain quarantine or quarantined')\n\n    # 'Director assessment required' - exact string check (case-insensitive)\n    if not re.search(r'director\\s+assessment\\s+required', normalized_lower):\n        failures.append('Body does not contain exact string \"Director assessment required\"')\n\n    if failures:\n        return {'pass': False, 'score': 0.0, 'feedback': 'Email issues: ' + '; '.join(failures)}\n\n    return {'pass': True, 'score': 1.0, 'feedback': 'Email correctly addressed To: daniel.reyes@prairiestar.com, CC: carlos.mendoza and jacob.patel, subject contains P2/Compound Event/2026-05-20-001/2026-05-20, body contains all required content: temps -4.5/-6.0/-7.5, Tier 3, variance -6 cases/1.25%, Moderate, quarantined to H-Q, Director assessment required.'}\n",
    "criterion_type": "expected_output"
  }
]