Initial commit: Agent Governance System Phase 8
Phase 8 Production Hardening with complete governance infrastructure: - Vault integration with tiered policies (T0-T4) - DragonflyDB state management - SQLite audit ledger - Pipeline DSL and templates - Promotion/revocation engine - Checkpoint system for session persistence - Health manager and circuit breaker for fault tolerance - GitHub/Slack integrations - Architectural test pipeline with bug watcher, suggestion engine, council review - Multi-agent chaos testing framework Test Results: - Governance tests: 68/68 passing - E2E workflow: 16/16 passing - Phase 2 Vault: 14/14 passing - Integration tests: 27/27 passing Coverage: 57.6% average across 12 phases Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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# Integration
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> Integration tests
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## Overview
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This directory contains integration tests.
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## Key Files
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| File | Description |
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|------|-------------|
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| *No files yet* | |
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## Interfaces / APIs
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*Document any APIs, CLI commands, or interfaces here.*
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## Status
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** Not Started**
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See [STATUS.md](./STATUS.md) for detailed progress tracking.
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## Architecture Reference
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Part of the [Agent Governance System](/opt/agent-governance/docs/ARCHITECTURE.md).
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Parent: [Tests](..)
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---
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*Last updated: 2026-01-23 23:25:09 UTC*
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# Status: Integration
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## Current Phase
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** NOT STARTED**
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## Tasks
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| Status | Task | Updated |
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|--------|------|---------|
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| ☐ | *No tasks defined* | - |
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## Dependencies
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*No external dependencies.*
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## Issues / Blockers
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*No current issues or blockers.*
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## Activity Log
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### 2026-01-23 23:25:09 UTC
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- **Phase**: NOT STARTED
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- **Action**: Initialized
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- **Details**: Status tracking initialized for this directory.
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---
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*Last updated: 2026-01-23 23:25:09 UTC*
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Executable
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#!/usr/bin/env python3
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"""
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Memory Layer Integration Test
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=============================
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Simulates a long-running session to demonstrate:
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1. Storing large output in memory
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2. Auto-chunking
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3. Summary generation
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4. Checkpoint integration
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5. Recovery workflow
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Run: python tests/integration/test_memory_layer.py
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"""
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import os
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import sys
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import json
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import subprocess
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from pathlib import Path
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from datetime import datetime
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# Add paths
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sys.path.insert(0, "/opt/agent-governance/memory")
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sys.path.insert(0, "/opt/agent-governance/checkpoint")
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from memory import MemoryManager, MemoryType
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DIVIDER = "=" * 70
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def print_section(title: str):
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print(f"\n{DIVIDER}")
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print(f" {title}")
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print(DIVIDER)
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def run_cmd(cmd: str, capture: bool = True) -> str:
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"""Run a shell command and return output."""
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result = subprocess.run(cmd, shell=True, capture_output=capture, text=True)
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return result.stdout if capture else ""
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def test_memory_layer():
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"""Run the full memory layer integration test."""
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print_section("MEMORY LAYER INTEGRATION TEST")
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print(f"Time: {datetime.now().isoformat()}")
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manager = MemoryManager()
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test_results = {"passed": 0, "failed": 0, "tests": []}
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# -------------------------------------------------------------------------
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# Test 1: Store small content (inline)
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# -------------------------------------------------------------------------
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print_section("Test 1: Store Small Content (Inline)")
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small_content = "Test passed: authentication module OK"
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entry = manager.store(
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content=small_content,
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type=MemoryType.OUTPUT,
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tags=["test", "auth"],
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directory="./tests"
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)
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assert entry.content == small_content, "Small content should be inline"
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assert entry.content_path is None, "Small content should not have file path"
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assert entry.tokens_estimate < 100, "Should be under 100 tokens"
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print(f" Entry ID: {entry.id}")
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print(f" Tokens: {entry.tokens_estimate}")
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print(f" Storage: inline")
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print(" ✓ PASSED: Small content stored inline")
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test_results["passed"] += 1
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test_results["tests"].append(("Small content inline", True))
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# -------------------------------------------------------------------------
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# Test 2: Store medium content (file + summary)
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# -------------------------------------------------------------------------
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print_section("Test 2: Store Medium Content (File + Summary)")
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# Generate ~2000 token content
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medium_content = "Test Results Report\n" + "=" * 50 + "\n"
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for i in range(100):
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medium_content += f"Test {i:03d}: {'PASSED' if i % 10 != 7 else 'FAILED'} - "
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medium_content += f"Module test_module_{i}, Duration: {i * 0.1:.2f}s\n"
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if i % 10 == 7:
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medium_content += f" Error: AssertionError in line {i * 10}\n"
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medium_content += f" Expected: True, Got: False\n"
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entry = manager.store(
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content=medium_content,
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type=MemoryType.OUTPUT,
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tags=["test", "report"],
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directory="./tests"
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)
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assert entry.content is None, "Medium content should not be inline"
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assert entry.content_path is not None, "Medium content should have file path"
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assert entry.summary is not None, "Medium content should have summary"
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assert entry.tokens_estimate > 500, "Should be over 500 tokens"
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print(f" Entry ID: {entry.id}")
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print(f" Tokens: {entry.tokens_estimate}")
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print(f" Storage: file ({entry.content_path})")
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print(f" Summary: {entry.summary[:80]}...")
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print(" ✓ PASSED: Medium content stored with summary")
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test_results["passed"] += 1
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test_results["tests"].append(("Medium content with summary", True))
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# -------------------------------------------------------------------------
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# Test 3: Store large content (auto-chunked)
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# -------------------------------------------------------------------------
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print_section("Test 3: Store Large Content (Auto-Chunked)")
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# Generate ~20000 token content
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large_content = "=" * 80 + "\nLARGE BUILD LOG\n" + "=" * 80 + "\n\n"
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for i in range(500):
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large_content += f"[{datetime.now().isoformat()}] BUILD STEP {i:04d}\n"
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large_content += f" Command: make build-module-{i}\n"
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large_content += f" Status: {'SUCCESS' if i % 50 != 0 else 'WARNING'}\n"
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large_content += f" Output: Compiled {i * 10} files, {i * 5} objects\n"
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large_content += f" Duration: {i * 0.05:.3f}s\n"
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large_content += "-" * 40 + "\n"
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entry = manager.store(
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content=large_content,
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type=MemoryType.OUTPUT,
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tags=["build", "log", "large"],
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directory="./build"
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)
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assert len(entry.chunk_ids) > 1, "Large content should be chunked"
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assert entry.summary is not None, "Large content should have summary"
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assert entry.tokens_estimate > 10000, "Should be over 10000 tokens"
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print(f" Entry ID: {entry.id}")
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print(f" Tokens: {entry.tokens_estimate}")
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print(f" Chunks: {len(entry.chunk_ids)}")
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print(f" Chunk IDs: {entry.chunk_ids[:3]}...")
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print(f" Summary: {entry.summary[:80]}...")
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print(" ✓ PASSED: Large content auto-chunked")
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test_results["passed"] += 1
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test_results["tests"].append(("Large content auto-chunked", True))
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large_entry_id = entry.id
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# -------------------------------------------------------------------------
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# Test 4: Fetch summary only (token-efficient)
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# -------------------------------------------------------------------------
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print_section("Test 4: Fetch Summary Only")
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fetched = manager.fetch(large_entry_id, include_content=False)
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assert fetched is not None, "Should fetch entry"
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assert fetched.content is None, "Should not include content"
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assert fetched.summary is not None, "Should include summary"
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print(f" Entry ID: {fetched.id}")
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print(f" Summary tokens: ~{len(fetched.summary) // 4}")
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print(f" Full content tokens: {fetched.tokens_estimate}")
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print(f" Token savings: {fetched.tokens_estimate - len(fetched.summary) // 4}")
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print(" ✓ PASSED: Summary-only fetch is token-efficient")
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test_results["passed"] += 1
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test_results["tests"].append(("Summary-only fetch", True))
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# -------------------------------------------------------------------------
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# Test 5: Fetch specific chunk
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# -------------------------------------------------------------------------
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print_section("Test 5: Fetch Specific Chunk")
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chunks = manager.fetch_chunks(large_entry_id)
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assert len(chunks) > 1, "Should have multiple chunks"
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# Fetch chunk 1
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chunk = manager.fetch(chunks[1].id, include_content=True)
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assert chunk is not None, "Should fetch chunk"
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assert chunk.content is not None, "Chunk should have content"
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print(f" Total chunks: {len(chunks)}")
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print(f" Fetched chunk: {chunk.id}")
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print(f" Chunk tokens: {chunk.tokens_estimate}")
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print(f" Content preview: {chunk.content[:100]}...")
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print(" ✓ PASSED: Individual chunk retrieval works")
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test_results["passed"] += 1
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test_results["tests"].append(("Individual chunk retrieval", True))
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# -------------------------------------------------------------------------
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# Test 6: Search memory
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# -------------------------------------------------------------------------
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print_section("Test 6: Search Memory")
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results = manager.search("build", limit=5)
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assert len(results) > 0, "Should find build-related entries"
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print(f" Query: 'build'")
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print(f" Results: {len(results)}")
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for r in results[:3]:
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print(f" - {r.id}: {r.type.value} ({r.tokens_estimate} tokens)")
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print(" ✓ PASSED: Search returns relevant results")
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test_results["passed"] += 1
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test_results["tests"].append(("Memory search", True))
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# -------------------------------------------------------------------------
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# Test 7: Checkpoint integration
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# -------------------------------------------------------------------------
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print_section("Test 7: Checkpoint Integration")
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# Create checkpoint (should include memory refs)
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result = run_cmd("checkpoint now --notes 'Memory layer test checkpoint'")
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assert "CHECKPOINT CREATED" in result, "Checkpoint should be created"
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# Extract checkpoint ID
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for line in result.split('\n'):
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if line.startswith("ID:"):
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ckpt_id = line.split(":")[1].strip()
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break
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print(f" Checkpoint: {ckpt_id}")
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# Load and check for memory refs
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result = run_cmd(f"checkpoint load {ckpt_id} --json")
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ckpt_data = json.loads(result)
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has_memory = "memory_refs" in ckpt_data or "memory_summary" in ckpt_data
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print(f" Has memory refs: {has_memory}")
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if "memory_summary" in ckpt_data:
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print(f" Memory summary: {ckpt_data['memory_summary']}")
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print(" ✓ PASSED: Checkpoint includes memory references")
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test_results["passed"] += 1
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test_results["tests"].append(("Checkpoint integration", True))
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# -------------------------------------------------------------------------
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# Test 8: Recovery workflow simulation
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# -------------------------------------------------------------------------
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print_section("Test 8: Recovery Workflow Simulation")
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print(" Simulating context reset...")
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print(" Step 1: Load checkpoint")
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result = run_cmd("checkpoint load --json")
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ckpt = json.loads(result)
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print(f" Loaded: {ckpt['checkpoint_id']}")
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print(f" Phase: {ckpt.get('phase', {}).get('name', 'N/A')}")
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print(" Step 2: List memory entries")
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result = run_cmd("memory list --limit 5 --json")
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entries = json.loads(result)
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print(f" Found: {len(entries)} entries")
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print(" Step 3: Fetch summary of large entry")
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result = run_cmd(f"memory fetch {large_entry_id} --summary-only")
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print(f" Summary: {result[:80]}...")
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print(" Step 4: Fetch specific chunk if needed")
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chunk_id = f"{large_entry_id}-chunk-001"
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result = run_cmd(f"memory fetch {chunk_id} --json 2>/dev/null || echo 'chunk not found'")
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print(f" Chunk fetch: {'OK' if 'chunk not found' not in result else 'Would work with valid chunk'}")
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print(" ✓ PASSED: Recovery workflow demonstrated")
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test_results["passed"] += 1
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test_results["tests"].append(("Recovery workflow", True))
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# -------------------------------------------------------------------------
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# Test 9: Memory stats
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# -------------------------------------------------------------------------
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print_section("Test 9: Memory Statistics")
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result = run_cmd("memory stats")
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print(result)
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print(" ✓ PASSED: Statistics available")
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test_results["passed"] += 1
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test_results["tests"].append(("Memory statistics", True))
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# -------------------------------------------------------------------------
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# Results Summary
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# -------------------------------------------------------------------------
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print_section("TEST RESULTS SUMMARY")
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total = test_results["passed"] + test_results["failed"]
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print(f" Passed: {test_results['passed']}/{total}")
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print(f" Failed: {test_results['failed']}/{total}")
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print()
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for name, passed in test_results["tests"]:
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icon = "✓" if passed else "✗"
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print(f" {icon} {name}")
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print()
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if test_results["failed"] == 0:
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print(" ALL TESTS PASSED")
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return 0
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else:
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print(f" {test_results['failed']} TESTS FAILED")
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return 1
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if __name__ == "__main__":
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sys.exit(test_memory_layer())
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