"""
E2E Acceptance Test: US-004 Audit Trail for Compliance Verification

PERSONA: Priya (Tech Lead)
STORY: As a tech lead, I want DES to maintain a complete audit trail of all state
       transitions, so that I can verify TDD compliance during PR review with
       concrete evidence.

BUSINESS VALUE:
- Enables verifiable TDD compliance evidence for PR review
- Provides complete execution history with timestamps
- Supports debugging by showing exact failure points
- Creates immutable audit records for accountability
- Daily log rotation prevents single file bloat

SCOPE: Covers US-004 Acceptance Criteria (AC-004.1 through AC-004.6)
WAVE: DISTILL (Acceptance Test Creation)
STATUS: RED (Outside-In TDD - awaiting DELIVER wave implementation)

DOMAIN EXAMPLES FROM USER STORY:
1. Complete Execution Audit: Marcus runs /nw:execute, audit log captures all phases
2. Failed Validation Audit: Incomplete prompt rejection is logged
3. Crash Recovery Audit: Partial execution with abandoned phase is traceable

SCENARIO COUNT: 12 scenarios (Scenario 003 split into 3a, 3b, 3c per Outside-In TDD principle)

DELIVER WAVE MAPPING:
- Scenario 001: Implement ISO timestamp formatting
- Scenario 002: Implement append-only immutability
- Scenario 003a: Implement TASK_INVOCATION_* event logging
- Scenario 003b: Implement PHASE_* event logging
- Scenario 003c: Implement SUBAGENT_STOP_* and COMMIT_* event logging
- Scenario 004: Implement rejection event logging
- Scenario 005: Implement entry context (step_path, phase_name, status, outcome)
- Scenario 006: Implement crash recovery audit (abandoned phase tracing)
- Scenario 007: Implement JSONL format output
- Scenario 008: Implement daily rotation with date naming
- Scenario 009: Verify scale (100 executions, manageable file sizes)
- Scenario 010: Integration test (complete end-to-end)
"""

import json
from datetime import datetime

import pytest

from des.adapters.driven.logging.jsonl_audit_log_writer import JsonlAuditLogWriter
from des.ports.driven_ports.audit_log_writer import AuditEvent


def _make_timestamp() -> str:
    """Generate ISO 8601 timestamp with millisecond precision."""
    from datetime import timezone

    now = datetime.now(timezone.utc)
    return f"{now.strftime('%Y-%m-%dT%H:%M:%S')}.{now.microsecond // 1000:03d}Z"


def _read_all_entries(writer: JsonlAuditLogWriter) -> list[dict]:
    """Read all entries from the writer's current log file."""
    log_file = writer._get_log_file()
    entries = []
    if log_file.exists():
        with open(log_file) as f:
            for line in f:
                line = line.strip()
                if line:
                    try:
                        entries.append(json.loads(line))
                    except json.JSONDecodeError:
                        continue
    return entries


def _read_entries_by_step_path(
    writer: JsonlAuditLogWriter, step_path: str
) -> list[dict]:
    """Read entries filtered by step_path data field (legacy filtering)."""
    return [e for e in _read_all_entries(writer) if e.get("step_path") == step_path]


class TestAuditTrailForComplianceVerification:
    """E2E acceptance tests for US-004: Audit trail for compliance verification."""

    # =========================================================================
    # AC-004.1: All state transitions are logged with ISO timestamp
    # Scenario 1: State transitions capture accurate timestamps
    # =========================================================================

    def test_scenario_001_state_transitions_logged_with_iso_timestamp(self, tmp_path):
        """
        GIVEN DES is processing step 01-01 through TDD phases
        WHEN each phase transition occurs (NOT_EXECUTED -> IN_PROGRESS -> EXECUTED)
        THEN audit log contains entry with ISO 8601 timestamp for each transition

        Business Value: Priya can verify exact execution timeline during PR review,
                       proving phases were executed in correct order at specific times.

        ISO 8601 Format Required: YYYY-MM-DDTHH:MM:SS.sssZ (e.g., 2026-01-22T14:30:45.123Z)
        """
        # Arrange: Create audit log writer
        writer = JsonlAuditLogWriter(log_dir=str(tmp_path))
        step_file = "steps/01-01.json"

        # Act: Simulate phase transitions
        writer.log_event(
            AuditEvent(
                event_type="PHASE_STARTED",
                timestamp=_make_timestamp(),
                data={
                    "step_path": step_file,
                    "phase": "PREPARE",
                    "status": "IN_PROGRESS",
                },
            )
        )
        writer.log_event(
            AuditEvent(
                event_type="PHASE_COMPLETED",
                timestamp=_make_timestamp(),
                data={
                    "step_path": step_file,
                    "phase": "PREPARE",
                    "status": "EXECUTED",
                },
            )
        )

        # Assert: Audit log contains timestamped entries
        audit_entries = _read_entries_by_step_path(writer, step_file)
        assert len(audit_entries) >= 2, (
            "At least 2 phase transition events should be logged"
        )

        # Verify ISO 8601 timestamp format for each entry
        for entry in audit_entries:
            assert "timestamp" in entry, "Entry missing timestamp field"
            timestamp = entry["timestamp"]

            # Validate ISO 8601 format: YYYY-MM-DDTHH:MM:SS.sssZ
            assert isinstance(timestamp, str), "Timestamp not a string"
            assert "T" in timestamp, "Timestamp missing 'T' separator"
            assert timestamp.endswith("Z"), "Timestamp not ending with 'Z' (UTC)"
            assert len(timestamp) == 24, (
                f"ISO 8601 timestamp should be 24 chars, got {len(timestamp)}: {timestamp}"
            )

            # Should be parseable as ISO 8601
            try:
                parsed = datetime.fromisoformat(timestamp.replace("Z", "+00:00"))
                assert parsed is not None, "Timestamp could not be parsed"
            except ValueError as e:
                pytest.fail(f"Timestamp not valid ISO 8601: {timestamp} - {e}")

    # =========================================================================
    # AC-004.2: Audit log is append-only (no modifications to existing entries)
    # Scenario 2: Audit entries are immutable
    # =========================================================================

    def test_scenario_002_audit_log_is_append_only_immutable(self, tmp_path):
        """
        GIVEN audit log contains 5 existing entries from previous executions
        WHEN new execution occurs adding 3 more entries
        THEN original 5 entries remain unchanged (byte-level prefix matches)

        Business Value: Priya can trust audit evidence has not been tampered with,
                       ensuring accountability and preventing retroactive falsification.

        Immutability Guarantee: Existing entries cannot be modified or deleted.
        """
        # Arrange: Create audit log with 5 initial entries
        writer = JsonlAuditLogWriter(log_dir=str(tmp_path))
        initial_entries = [
            AuditEvent(
                event_type="TASK_INVOCATION_STARTED",
                timestamp="2026-01-22T10:00:00.000Z",
                data={},
            ),
            AuditEvent(
                event_type="PHASE_STARTED",
                timestamp="2026-01-22T10:00:05.000Z",
                data={"phase": "PREPARE"},
            ),
            AuditEvent(
                event_type="PHASE_COMPLETED",
                timestamp="2026-01-22T10:01:00.000Z",
                data={"phase": "PREPARE"},
            ),
            AuditEvent(
                event_type="PHASE_STARTED",
                timestamp="2026-01-22T10:01:05.000Z",
                data={"phase": "RED_ACCEPTANCE"},
            ),
            AuditEvent(
                event_type="PHASE_COMPLETED",
                timestamp="2026-01-22T10:02:00.000Z",
                data={"phase": "RED_ACCEPTANCE"},
            ),
        ]
        for event in initial_entries:
            writer.log_event(event)

        # Capture byte content of original 5 entries
        log_file = writer._get_log_file()
        with open(log_file, "rb") as f:
            original_bytes = f.read()

        initial_count = len(_read_all_entries(writer))
        assert initial_count == 5, f"Expected 5 initial entries, got {initial_count}"

        # Act: Add 3 new entries
        new_events = [
            AuditEvent(
                event_type="PHASE_STARTED",
                timestamp="2026-01-22T10:02:05.000Z",
                data={"phase": "RED_UNIT"},
            ),
            AuditEvent(
                event_type="PHASE_COMPLETED",
                timestamp="2026-01-22T10:03:00.000Z",
                data={"phase": "RED_UNIT"},
            ),
            AuditEvent(
                event_type="SUBAGENT_STOP_VALIDATION",
                timestamp="2026-01-22T10:03:05.000Z",
                data={"status": "success"},
            ),
        ]
        for event in new_events:
            writer.log_event(event)

        # Assert: Original entries unchanged (byte-level prefix matches)
        with open(log_file, "rb") as f:
            current_bytes = f.read()

        original_byte_count = len(original_bytes)
        assert current_bytes[:original_byte_count] == original_bytes, (
            "Original entries were modified - immutability violated"
        )
        assert len(_read_all_entries(writer)) == 8, (
            f"Expected 8 entries (5 original + 3 new), got {len(_read_all_entries(writer))}"
        )

        # Verify new entries are present
        all_entries = _read_all_entries(writer)
        assert len(all_entries) == 8, "All entries should be readable"
        assert all_entries[5]["event"] == "PHASE_STARTED"
        assert all_entries[6]["event"] == "PHASE_COMPLETED"
        assert all_entries[7]["event"] == "SUBAGENT_STOP_VALIDATION"

    # =========================================================================
    # AC-004.3: Event types include: TASK_INVOCATION_*, PHASE_*, SUBAGENT_STOP_*, COMMIT_*
    # SPLIT INTO FOCUSED SCENARIOS: One per event category (Outside-In TDD principle)
    # =========================================================================

    # -------------------------------------------------------------------------
    # Scenario 3a: TASK_INVOCATION_* events captured
    # -------------------------------------------------------------------------

    def test_scenario_003a_task_invocation_events_captured(self):
        """
        GIVEN Marcus runs /nw:execute @software-crafter "steps/01-01.json"
        WHEN task invocation begins and passes validation
        THEN audit log contains TASK_INVOCATION_STARTED and TASK_INVOCATION_VALIDATED

        Business Value: Priya can see when task execution began and whether it
                       passed pre-invocation validation, enabling timeline tracing.

        DELIVER STEP MAPPING: Implement TASK_INVOCATION event logging
        """
        # Arrange: Set up step execution
        # step_file = "steps/01-01.json"
        # des_executor = DESExecutor()

        # Act: Start task execution (triggers invocation events)
        # result = des_executor.start_task(step_file)

        # Assert: TASK_INVOCATION_* events present
        # audit_entries = audit_log.read_entries_for_step(step_file)
        # event_types = [entry["event"] for entry in audit_entries]
        # assert "TASK_INVOCATION_STARTED" in event_types, \
        #     "Missing TASK_INVOCATION_STARTED event"
        # assert "TASK_INVOCATION_VALIDATED" in event_types, \
        #     "Missing TASK_INVOCATION_VALIDATED event"

    # -------------------------------------------------------------------------
    # Scenario 3b: PHASE_* events captured for all 14 TDD phases
    # -------------------------------------------------------------------------

    def test_scenario_003b_phase_lifecycle_events_captured(self):
        """
        GIVEN task invocation has passed validation
        WHEN execution progresses through all 14 TDD phases
        THEN audit log contains PHASE_STARTED and PHASE_COMPLETED for each phase

        Business Value: Priya can trace exact TDD phase progression, verifying
                       that all 14 phases were executed in correct order.

        Expected: 14 PHASE_STARTED + 14 PHASE_COMPLETED = 28 phase events total

        DELIVER STEP MAPPING: Implement PHASE_* event logging
        """
        # Arrange: Set up step with all phases to execute
        # step_file = "steps/01-01.json"
        # des_executor = DESExecutor()

        # Act: Execute through all 14 phases
        # result = des_executor.execute_all_phases(step_file)

        # Assert: PHASE_* events for all 14 phases
        # audit_entries = audit_log.read_entries_for_step(step_file)
        # event_types = [entry["event"] for entry in audit_entries]
        # phase_started_count = sum(1 for e in event_types if e == "PHASE_STARTED")
        # phase_completed_count = sum(1 for e in event_types if e == "PHASE_COMPLETED")
        # assert phase_started_count == 14, f"Expected 14 PHASE_STARTED, got {phase_started_count}"
        # assert phase_completed_count == 14, f"Expected 14 PHASE_COMPLETED, got {phase_completed_count}"

    # -------------------------------------------------------------------------
    # Scenario 3c: SUBAGENT_STOP_* and COMMIT_* events captured
    # -------------------------------------------------------------------------

    def test_scenario_003c_subagent_stop_and_commit_events_captured(self):
        """
        GIVEN all 14 phases have been executed successfully
        WHEN agent completes and commit validation occurs
        THEN audit log contains SUBAGENT_STOP_VALIDATION and COMMIT_VALIDATION_PASSED

        Business Value: Priya can verify that agent completion was validated
                       and commit passed quality gates, completing audit trail.

        DELIVER STEP MAPPING: Implement SUBAGENT_STOP_* and COMMIT_* event logging
        """
        # Arrange: Set up complete step execution
        # step_file = "steps/01-01.json"
        # des_executor = DESExecutor()

        # Act: Execute step fully including commit
        # result = des_executor.execute_step_fully(step_file)

        # Assert: SUBAGENT_STOP_* events
        # audit_entries = audit_log.read_entries_for_step(step_file)
        # event_types = [entry["event"] for entry in audit_entries]
        # assert "SUBAGENT_STOP_VALIDATION" in event_types, \
        #     "Missing SUBAGENT_STOP_VALIDATION event"

        # Assert: COMMIT_* events
        # assert "COMMIT_VALIDATION_PASSED" in event_types, \
        #     "Missing COMMIT_VALIDATION_PASSED event"

    # =========================================================================
    # AC-004.3 (Negative Case): Failed validation captures rejection event
    # Scenario 4: Task invocation rejection is audited
    # =========================================================================

    def test_scenario_004_failed_validation_captures_rejection_event(self):
        """
        GIVEN orchestrator produces prompt with incomplete template
        WHEN pre-invocation validation rejects the task
        THEN audit log contains TASK_INVOCATION_REJECTED with specific error details

        Business Value: Priya can see exactly why execution was blocked,
                       supporting debugging and template improvement.

        From User Story Example 2: "Failed Validation Audit"
        """
        # Arrange: Create prompt with missing mandatory section
        # incomplete_prompt = """
        # <!-- DES-VALIDATION: required -->
        # # Missing TIMEOUT_INSTRUCTION section
        # """

        # Act: Attempt task invocation (should fail validation)
        # result = des_validator.validate_and_invoke(incomplete_prompt)

        # Assert: Rejection event logged with details
        # audit_entries = audit_log.get_recent_entries(limit=5)
        # rejection_entry = next(
        #     (e for e in audit_entries if e["event"] == "TASK_INVOCATION_REJECTED"),
        #     None
        # )
        # assert rejection_entry is not None, "TASK_INVOCATION_REJECTED event not found"
        # assert "errors" in rejection_entry
        # assert "TIMEOUT_INSTRUCTION" in str(rejection_entry["errors"])
        # assert "timestamp" in rejection_entry

    # =========================================================================
    # AC-004.4: Each entry includes step file path and relevant event data
    # Scenario 5: Audit entries contain complete context
    # =========================================================================

    def test_scenario_005_audit_entries_include_step_path_and_event_data(self):
        """
        GIVEN phase transition occurs for step 01-01 during GREEN_UNIT phase
        WHEN audit entry is written
        THEN entry contains: step_file path, phase name, status, and outcome

        Business Value: Priya has complete context in each audit entry,
                       enabling precise traceability without cross-referencing
                       multiple files.

        Required Fields: step_file, event, phase (if applicable), data, timestamp
        """
        # Arrange: Set up phase execution
        # step_file = "steps/01-01.json"
        # phase_name = "GREEN_UNIT"
        # outcome = "Test passes with minimal implementation"

        # Act: Record phase completion
        # audit_log.record_phase_completion(
        #     step_file=step_file,
        #     phase=phase_name,
        #     outcome=outcome
        # )

        # Assert: Entry contains all required context
        # entry = audit_log.get_last_entry()
        # assert entry["step_file"] == step_file, "Missing step file path"
        # assert entry["event"] == "PHASE_COMPLETED", "Wrong event type"
        # assert entry["phase"] == phase_name, "Missing phase name"
        # assert entry["data"]["outcome"] == outcome, "Missing outcome data"
        # assert "timestamp" in entry, "Missing timestamp"

    # =========================================================================
    # AC-004.4 (Additional): Crash recovery shows incomplete execution point
    # Scenario 6: Abandoned phase is traceable in audit
    # =========================================================================

    def test_scenario_006_abandoned_phase_traceable_in_audit(self):
        """
        GIVEN agent crashes during RED_UNIT phase execution
        WHEN SubagentStop hook fires and detects abandoned phase
        THEN audit log shows: PHASE_STARTED (RED_UNIT), no PHASE_COMPLETED,
             SUBAGENT_STOP_VALIDATION (error: abandoned phase)

        Business Value: Priya can see exactly where execution stopped,
                       supporting crash debugging and recovery.

        From User Story Example 3: "Crash Recovery Audit"
        """
        # Arrange: Simulate crash during phase execution
        # step_file = "steps/01-01.json"
        # phase_name = "RED_UNIT"

        # Record phase start (simulates agent beginning work)
        # audit_log.record_phase_start(step_file=step_file, phase=phase_name)

        # Simulate crash: SubagentStop fires without phase completion
        # subagent_hook.fire_on_crash(step_file=step_file)

        # Assert: Audit trail shows incomplete execution
        # entries = audit_log.read_entries_for_step(step_file)
        # events = [(e["event"], e.get("phase")) for e in entries]

        # Phase started but not completed
        # assert ("PHASE_STARTED", "RED_UNIT") in events
        # assert ("PHASE_COMPLETED", "RED_UNIT") not in events

        # Error recorded
        # error_entry = next(
        #     (e for e in entries if e["event"] == "SUBAGENT_STOP_VALIDATION"),
        #     None
        # )
        # assert error_entry is not None
        # assert error_entry["status"] == "error"
        # assert "abandoned" in error_entry["data"]["reason"].lower()

    # =========================================================================
    # AC-004.5: Audit log is human-readable (JSONL format)
    # Scenario 7: Log format is valid JSONL readable by humans
    # =========================================================================

    def test_scenario_007_audit_log_is_human_readable_jsonl(self):
        """
        GIVEN audit log contains multiple entries
        WHEN log file is read directly
        THEN each line is valid JSON, parseable independently,
             with readable field names and values

        Business Value: Priya (or any reviewer) can open audit log in text editor,
                       understand entries without special tooling, and parse
                       programmatically if needed.

        JSONL Format: One JSON object per line, newline separated
        """
        # Arrange: Create audit log with multiple entries
        # audit_file = "audit/audit-2026-01-22.log"
        # entries = [
        #     {"event": "TASK_INVOCATION_STARTED", "step_file": "steps/01-01.json",
        #      "timestamp": "2026-01-22T14:00:00Z"},
        #     {"event": "PHASE_STARTED", "step_file": "steps/01-01.json",
        #      "phase": "PREPARE", "timestamp": "2026-01-22T14:00:05Z"},
        #     {"event": "PHASE_COMPLETED", "step_file": "steps/01-01.json",
        #      "phase": "PREPARE", "data": {"outcome": "Context loaded"},
        #      "timestamp": "2026-01-22T14:01:00Z"},
        # ]
        # audit_log.write_entries(entries)

        # Act: Read file directly as text
        # with open(audit_file, "r") as f:
        #     lines = f.readlines()

        # Assert: Each line is valid, parseable JSON
        # import json
        # assert len(lines) == 3
        # for i, line in enumerate(lines):
        #     try:
        #         parsed = json.loads(line.strip())
        #         assert isinstance(parsed, dict), f"Line {i+1} is not a JSON object"
        #         assert "event" in parsed, f"Line {i+1} missing 'event' field"
        #         assert "timestamp" in parsed, f"Line {i+1} missing 'timestamp' field"
        #     except json.JSONDecodeError as e:
        #         pytest.fail(f"Line {i+1} is not valid JSON: {e}")

        # Human-readable field names (no abbreviations or codes)
        # for line in lines:
        #     parsed = json.loads(line.strip())
        #     # Fields should be descriptive, not cryptic
        #     assert "evt" not in parsed  # Not abbreviated
        #     assert "ts" not in parsed   # Use "timestamp" not "ts"
        #     assert "sf" not in parsed   # Use "step_file" not "sf"

    # =========================================================================
    # AC-004.6: Audit logs rotate daily (audit-YYYY-MM-DD.log naming convention)
    # Scenario 8: Daily log rotation with correct naming
    # =========================================================================

    def test_scenario_008_audit_logs_rotate_daily_with_date_naming(self):
        """
        GIVEN executions occur on January 22 and January 23, 2026
        WHEN audit entries are written on each day
        THEN separate log files exist: audit-2026-01-22.log, audit-2026-01-23.log

        Business Value: Priya can quickly locate logs for specific dates,
                       and individual files remain manageable size.

        Naming Convention: audit-YYYY-MM-DD.log (ISO 8601 date format)
        """
        # Arrange: Mock execution on two different days
        # date_jan_22 = datetime(2026, 1, 22, 14, 0, 0)
        # date_jan_23 = datetime(2026, 1, 23, 10, 0, 0)

        # Act: Write entries on different days
        # with freeze_time(date_jan_22):
        #     audit_log.append({"event": "TASK_INVOCATION_STARTED", "step_file": "steps/01-01.json"})
        #     audit_log.append({"event": "PHASE_STARTED", "phase": "PREPARE"})

        # with freeze_time(date_jan_23):
        #     audit_log.append({"event": "TASK_INVOCATION_STARTED", "step_file": "steps/02-01.json"})
        #     audit_log.append({"event": "PHASE_STARTED", "phase": "PREPARE"})

        # Assert: Separate files with correct naming
        # from pathlib import Path
        # audit_dir = Path("audit")
        # assert (audit_dir / "audit-2026-01-22.log").exists()
        # assert (audit_dir / "audit-2026-01-23.log").exists()

        # Verify entries are in correct files
        # jan_22_entries = audit_log.read_file("audit-2026-01-22.log")
        # jan_23_entries = audit_log.read_file("audit-2026-01-23.log")

        # assert any("01-01.json" in str(e) for e in jan_22_entries)
        # assert any("02-01.json" in str(e) for e in jan_23_entries)
        # assert not any("02-01.json" in str(e) for e in jan_22_entries)

    # =========================================================================
    # AC-004.6 (Additional): File per day prevents bloat
    # Scenario 9: Large execution doesn't bloat single file excessively
    # =========================================================================

    def test_scenario_009_daily_rotation_prevents_single_file_bloat(self):
        """
        GIVEN 100 step executions occur over 5 days
        WHEN each execution logs ~30 events (start + 14 phases*2 + stop + commit)
        THEN each daily log file contains only that day's entries

        Business Value: Log files remain manageable for review and storage,
                       supporting efficient compliance auditing.

        Distribution: ~20 executions/day = ~600 entries/file (manageable)
        """
        # Arrange: Simulate 100 executions over 5 days
        # executions_per_day = 20
        # events_per_execution = 30  # Approximate: start, 14 phases * 2, stop, commit

        # for day_offset in range(5):
        #     execution_date = datetime(2026, 1, 22) + timedelta(days=day_offset)
        #     with freeze_time(execution_date):
        #         for exec_num in range(executions_per_day):
        #             simulate_step_execution(f"steps/{exec_num:02d}-01.json")

        # Assert: Each file has appropriate entry count
        # for day_offset in range(5):
        #     date_str = (datetime(2026, 1, 22) + timedelta(days=day_offset)).strftime("%Y-%m-%d")
        #     log_file = f"audit/audit-{date_str}.log"
        #     entry_count = audit_log.count_entries(log_file)

        #     expected_entries = executions_per_day * events_per_execution
        #     assert entry_count <= expected_entries * 1.1  # Allow 10% variance
        #     assert entry_count >= expected_entries * 0.9

    # =========================================================================
    # Integration: Complete execution audit trail (Example 1 from User Story)
    # Scenario 10: Full execution produces complete audit trail for PR review
    # =========================================================================

    def test_scenario_010_complete_execution_produces_reviewable_audit_trail(self):
        """
        GIVEN Marcus runs /nw:execute @software-crafter "steps/01-01.json" on 2026-01-22
        WHEN execution completes successfully through all 14 phases
        THEN Priya can review audit-2026-01-22.log and see:
             - TASK_INVOCATION_STARTED with step path
             - TASK_INVOCATION_VALIDATED (pre-check passed)
             - PHASE_STARTED/COMPLETED for each of 14 phases with outcomes
             - SUBAGENT_STOP_VALIDATION (success)
             - COMMIT_VALIDATION_PASSED

        Business Value: Priya has irrefutable evidence of complete TDD compliance
                       with timestamped execution history for PR approval.

        From User Story Domain Example 1: "Complete Execution Audit"
        """
        # Arrange: Set up complete step execution
        # step_file = "steps/01-01.json"
        # execution_date = datetime(2026, 1, 22)

        # Act: Execute step fully (all 14 phases)
        # with freeze_time(execution_date):
        #     result = des_executor.execute_step_fully(step_file)

        # Assert: Complete audit trail for PR review
        # audit_entries = audit_log.read_file("audit-2026-01-22.log")

        # 1. Task invocation events
        # assert any(e["event"] == "TASK_INVOCATION_STARTED" and
        #            e["step_file"] == step_file for e in audit_entries)
        # assert any(e["event"] == "TASK_INVOCATION_VALIDATED" for e in audit_entries)

        # 2. All 14 phases logged with start/complete
        # expected_phases = [
        #     "PREPARE", "RED_ACCEPTANCE", "RED_UNIT", "GREEN_UNIT",
        #     "CHECK_ACCEPTANCE", "GREEN_ACCEPTANCE", "REVIEW",
        #     "REFACTOR_L1", "REFACTOR_L2", "REFACTOR_L3", "REFACTOR_L4",
        #     "POST_REFACTOR_REVIEW", "FINAL_VALIDATE", "COMMIT"
        # ]
        # for phase in expected_phases:
        #     assert any(e["event"] == "PHASE_STARTED" and e["phase"] == phase
        #                for e in audit_entries), f"Missing PHASE_STARTED for {phase}"
        #     assert any(e["event"] == "PHASE_COMPLETED" and e["phase"] == phase
        #                for e in audit_entries), f"Missing PHASE_COMPLETED for {phase}"

        # 3. SubagentStop validation success
        # stop_entry = next(
        #     (e for e in audit_entries if e["event"] == "SUBAGENT_STOP_VALIDATION"),
        #     None
        # )
        # assert stop_entry is not None
        # assert stop_entry["status"] == "success"

        # 4. Commit validation passed
        # assert any(e["event"] == "COMMIT_VALIDATION_PASSED" for e in audit_entries)

        # 5. Timestamps are in chronological order
        # timestamps = [e["timestamp"] for e in audit_entries]
        # assert timestamps == sorted(timestamps), "Events not in chronological order"
