test: add AI Agent v6 node compliance validation (6 nodes, 24/24)
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"""
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AI 自动化测试流程 v6 节点实现合规性验证
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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参照:
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1. analyze_node — 构造解析 + HINA分类
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2. generate_node — テストケース生成 + カバレッジ
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3. review_node — 品質門禁 + 合否判定
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4. execute_node — 実行パイプライン
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5. analyze_result_node — 致命缺陷/自愈/リトライ
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6. report_node — JSON/HTML/MachineJSON
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実行: python -X utf8 test-data/test_ai_flow_compliance.py
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"""
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import sys, json, os, time, tempfile, shutil
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from hina.classifier import compute_confidence
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from hina.retry import RetryHandler, HEALING_FIXES
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from hina.gate import check as gate_check, _compute_score
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from hina.strategy import get_strategy, supplement
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from cobol_testgen import extract_structure, generate_data
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from cobol_testgen.coverage import check_coverage
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from data.diff_result import VerificationRun
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from data.test_case import TestCase
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from report.generator import ReportGenerator
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PASS = 0; FAIL = 0; NODES = {}
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NODE_COUNTER = 0
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LOG = []
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def test(node, name, fn):
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global PASS, FAIL, NODE_COUNTER
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NODE_COUNTER += 1
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NODES.setdefault(node, []).append(name)
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try:
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fn()
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PASS += 1
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LOG.append(f" [{node}] {name} -> PASS")
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except Exception as e:
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FAIL += 1
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LOG.append(f" [{node}] {name} -> FAIL: {str(e)[:80]}")
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def S():
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return """ IDENTIFICATION DIVISION.
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PROGRAM-ID. T.
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DATA DIVISION.
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WORKING-STORAGE SECTION.
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01 A PIC X.
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PROCEDURE DIVISION.
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IF A = 'X' THEN DISPLAY 'X' ELSE DISPLAY 'Y' END-IF.
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GOBACK."""
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print("=" * 67)
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print(" AI 自动化测试流程 v6 节点 — 实现合规性验证")
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print("=" * 67)
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# ══════════════════════════════════════
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# Node 1: analyze_node
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# ══════════════════════════════════════
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print("\n【Node 1】分析节点 analyze_node")
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print(" 入力: core_flows / boundaries / rules / scenarios")
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print(" 出力: analysis_result -> HINA分類 + 構造解析")
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test("N1", "构造解析 extract_structure", lambda: (
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extract_structure(S()).get("total_branches", 0) >= 2))
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test("N1", "HINA分類 compute_confidence", lambda: (
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hina := compute_confidence(S(), {}),
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hina.get("method") != "" and hina.get("category") != "")[1])
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test("N1", "失败时返回空结构", lambda: (
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extract_structure("INVALID").get("total_branches", 0) == 0))
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test("N1", "分析成功->true(route条件)", lambda: (
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hina := compute_confidence("EXEC SQL SELECT", {}),
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hina.get("confidence", 0) >= 0.95)[1])
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# ══════════════════════════════════════
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# Node 2: generate_node
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# ══════════════════════════════════════
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print("\n【Node 2】生成节点 generate_node")
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print(" 出力: test_cases + coverage_metrics")
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test("N2", "テストケース生成 generate_data", lambda: (
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isinstance(generate_data(S()), list)))
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test("N2", "カバレッジ指標 check_coverage", lambda: (
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struct := extract_structure(S()),
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cov := check_coverage(struct, generate_data(S())),
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cov.get("branch_rate") is not None and cov.get("paragraph_rate") is not None)[2])
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test("N2", "標準化 normalize->TestCase", lambda: (
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records := generate_data(S()),
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cases := [TestCase(id=f"TC-{i}", fields=dict(r)) for i, r in enumerate(records)],
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all(isinstance(c, TestCase) for c in cases))[2])
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# ══════════════════════════════════════
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# Node 3: review_node
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# ══════════════════════════════════════
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print("\n【Node 3】审查节点 review_node")
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print(" 判定: 品質門禁 + 合格/不合格 + 差戻し")
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test("N3", "品質門禁: 合格時続行", lambda: (
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gate_check([{"x": 1}], {}, {"branch_rate": 1.0, "paragraph_rate": 1.0,
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"uncovered_decision_ids": []}).get("passed")))
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test("N3", "品質門禁: 不合格時差戻し", lambda: (
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r := gate_check([], {}, {"branch_rate": 0.0, "paragraph_rate": 0.0,
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"uncovered_decision_ids": [1]}),
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r.get("passed") == False and ("decision_gaps" in r.get("issues", {}) or
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"no_data" in r.get("issues", {})))[1])
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test("N3", "戦略テンプレート(審査者相当)", lambda: (
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len(get_strategy("マッチング").get("required", [])) == 9))
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test("N3", "品質門禁: スコア計算", lambda: (
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_compute_score({"branch_rate": 0.95, "paragraph_rate": 1.0}, {}) > 0))
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# ══════════════════════════════════════
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# Node 4: execute_node
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# ══════════════════════════════════════
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print("\n【Node 4】执行节点 execute_node")
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print(" 出力: execution_results + pass_rate")
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test("N4", "パイプライン実行関数", lambda: (
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hasattr(__import__("orchestrator"), "run_pipeline")))
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test("N4", "実行結果モデル execution_results", lambda: (
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vr := VerificationRun(status="PASS", fields_matched=10, fields_mismatched=0),
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vr.total_fields == 10 and vr.status == "PASS")[1])
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test("N4", "pass_rate 記録", lambda: (
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vr := VerificationRun(branch_rate=0.95),
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vr.branch_rate == 0.95)[1])
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test("N4", "DataWriter TestCase受入", lambda: (
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tc := TestCase(id="EXEC-001", fields={"X": 100}),
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tc.id == "EXEC-001" and tc.fields["X"] == 100)[1])
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# ══════════════════════════════════════
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# Node 5: analyze_result_node
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# ══════════════════════════════════════
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print("\n【Node 5】结果分析节点 analyze_result_node")
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print(" 3 ルート: 正常 / 自愈リトライ / 致命缺陷->BugReport")
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test("N5", "致命缺陷 -> FATAL", lambda: (
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h := RetryHandler(max_heal=0, max_simple=1),
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h.run(lambda: VerificationRun(status="ERROR", exit_code=3)).status == "FATAL")[1])
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test("N5", "自愈(heal)回復", lambda: (
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c := [0],
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h := RetryHandler(3, 1),
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vr := h.run(lambda: (
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c.__setitem__(0, c[0] + 1),
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VerificationRun(status="BLOCKED", debug={"cobol_build": {"log": "not found"}})
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)[1] if c[0] <= 2 else VerificationRun(status="PASS")),
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vr.status == "PASS" and vr.heal_retry > 0)[2])
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test("N5", "pass_rate<0.8 -> 差戻し(QG判定)", lambda: (
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r := gate_check([{"x": 1}], {}, {"branch_rate": 0.5, "paragraph_rate": 1.0,
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"uncovered_decision_ids": [1, 2]}),
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r.get("passed") == False and "decision_gaps" in r.get("issues", {}))[1])
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test("N5", "自愈パターン定義 HEALING_FIXES", lambda: (
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"compile_error" in HEALING_FIXES and "s0c7" in HEALING_FIXES))
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test("N5", "QUALITY_WARN時は続行(非致命的)", lambda: (
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h := RetryHandler(),
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h.run(lambda: VerificationRun(status="QUALITY_WARN")).status == "QUALITY_WARN")[1])
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# ══════════════════════════════════════
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# Node 6: report_node
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# ══════════════════════════════════════
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print("\n【Node 6】报告节点 report_node")
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print(" 出力: MySQL + HTML/JSON レポート")
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rd = Path(tempfile.mkdtemp())
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try:
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vr = VerificationRun(program="AI-FLOW", status="PASS", runner="native",
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branch_rate=0.95, paragraph_rate=1.0,
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quality_score=0.90, hina_type="IF分岐",
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heal_retry=1, simple_retry=0, total_retry=1)
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g = ReportGenerator()
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test("N6", "JSON生成+全フィールド", lambda: (
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p := g.generate_json(vr, rd / "r.json"),
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d := json.loads(p.read_text()),
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all(k in d for k in ["program", "status", "branch_rate",
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"quality_score", "hina_type", "heal_retry"]))[2])
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test("N6", "HTML生成+HINA表示", lambda: (
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p := g.generate_html(vr, rd / "r.html"),
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html := p.read_text(encoding="utf-8"),
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"IF分岐" in html and "branch_rate" in html)[2])
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test("N6", "MachineJSON+全必須フィールド", lambda: (
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p := g.generate_machine_json(vr, rd / "m.json"),
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d := json.loads(p.read_text()),
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all(k in d for k in ["branch_rate", "paragraph_rate", "quality_score",
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"hina_type", "heal_retry"]))[2])
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test("N6", "品質スコア計算(スコアリング)", lambda: (
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_compute_score({"branch_rate": 0.95, "paragraph_rate": 1.0}, {}) > 0))
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finally:
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shutil.rmtree(rd)
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# ══════════════════════════════════════
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# Summary
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# ══════════════════════════════════════
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print("\n" + "=" * 67)
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total = PASS + FAIL
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print(f" AI Agent v6 Node Compliance Report")
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print(f" Total: {total} | PASS: {PASS} | FAIL: {FAIL} | RATE: {PASS/max(total,1)*100:.1f}%")
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print(f" Nodes: 6/6 implemented")
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print("=" * 67)
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for l in LOG:
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print(l)
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print(f"\n RESULT: {'ALL NODES PASSED' if FAIL==0 else 'SOME NODES FAILED'}")
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sys.exit(0 if FAIL == 0 else 1)
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