#!/usr/bin/env python3
"""
Analysis of tested vs untested functionality in Logos ADK
"""

import os

# Modules that have been tested
TESTED_MODULES = [
    # Core - tested in this session
    "swarm",  # ✓ Tested - Event bus, orchestration, agents
    "event_bus",  # ✓ Tested - InMemory, SQLite, PostgreSQL
    "tool_synthesis",  # ✓ Tested - Tool creation, validation, storage
    "quality_report",  # ✓ Tested - HTML/MD/CSV reports
    "context_window",  # ✓ Tested - Token counting, trimming
    "token_counter",  # ✓ Tested - Pre-flight counting
    # Already well tested (from previous test suite)
    "agent",  # Many tests exist
    "team",
    "memory",
    "state_store",
    "cache",
    "learning",
    "rag",
    "providers",
    "cli",
    "serve",
    "security",
    "guardrails",
    "workflow",
    "crew",
]

# Still untested or poorly tested
UNTESTED_MODULES = [
    {
        "module": "mcp",
        "description": "Model Context Protocol (MCP) client/server",
        "priority": "high",
        "tests_exist": "test_mcp_client.py, test_mcp_server.py",
    },
    {
        "module": "planning",
        "description": "Planning and reasoning framework",
        "priority": "medium",
        "tests_exist": "test_planning.py exists",
    },
    {
        "module": "semantic_cache",
        "description": "Semantic caching for prompts",
        "priority": "medium",
        "tests_exist": "partially in token optimization tests",
    },
    {
        "module": "prompt_dedup",
        "description": "Prompt deduplication",
        "priority": "low",
        "tests_exist": "partially tested",
    },
    {
        "module": "ui_events",
        "description": "UI events system",
        "priority": "low",
        "tests_exist": "none",
    },
    {
        "module": "smart_tools",
        "description": "Smart tools with AI capabilities",
        "priority": "medium",
        "tests_exist": "none",
    },
    {
        "module": "budgeting",
        "description": "Budget management for agents",
        "priority": "medium",
        "tests_exist": "test_budget.py exists",
    },
    {
        "module": "spend_ledger",
        "description": "Cost tracking and spend ledger",
        "priority": "medium",
        "tests_exist": "test_spend_ledger.py exists",
    },
    {
        "module": "a2a",
        "description": "Agent-to-Agent protocol",
        "priority": "high",
        "tests_exist": "test_team_communication.py uses it",
    },
    {
        "module": "dynamic_orchestration",
        "description": "Dynamic orchestration with supervisors",
        "priority": "high",
        "tests_exist": "test_dynamic_orchestration.py exists",
    },
    {
        "module": "checkpoint_json",
        "description": "JSON-based checkpointing",
        "priority": "low",
        "tests_exist": "none",
    },
    {
        "module": "persistence",
        "description": "General persistence layer",
        "priority": "low",
        "tests_exist": "none",
    },
    {
        "module": "reliability",
        "description": "Circuit breaker, retry policies",
        "priority": "medium",
        "tests_exist": "test_circuit_breaker.py exists",
    },
    {
        "module": "observe",
        "description": "Observability (tracing, metrics)",
        "priority": "medium",
        "tests_exist": "test_observe.py exists",
    },
]

# Specific untested functionality
SPECIFIC_UNTESTED = [
    {
        "area": "Tool system internals",
        "details": "Tool decorators, middleware, toolkit composition",
        "priority": "medium",
    },
    {
        "area": "Agent managers",
        "details": "Execution, routing, observability managers inside agent",
        "priority": "medium",
    },
    {
        "area": "Config loader full flow",
        "details": "YAML config → Agent config → Runtime",
        "priority": "medium",
    },
    {
        "area": "RAG full pipeline",
        "details": "Knowledge base → Vector store → Retrieval → Agent",
        "priority": "high",
    },
    {
        "area": "Learning loop",
        "details": "Evaluation → Improvement → Reflection",
        "priority": "high",
    },
    {
        "area": "Quality framework",
        "details": "Quality history, suites, execution",
        "priority": "medium",
    },
    {"area": "Hot reload", "details": "Agent config hot reload in production", "priority": "low"},
    {"area": "Mailbox system", "details": "Inter-agent messaging via mailbox", "priority": "low"},
    {
        "area": "Multi-agent collaboration",
        "details": "Complex agent teams with shared memory",
        "priority": "high",
    },
    {
        "area": "Error handling propagation",
        "details": "How errors propagate through swarm/team",
        "priority": "medium",
    },
]


def main():
    print("=" * 70)
    print("ANALYSIS: WHAT NEEDS TESTING IN LOGOS ADK")
    print("=" * 70)

    print("\n### ✅ ALREADY TESTED (This Session)")
    print("-" * 50)
    for m in TESTED_MODULES:
        print(f"  ✓ {m}")

    print("\n### 🔴 UNTESTED MODULES")
    print("-" * 50)
    print("Priority | Module | Description")
    print("-" * 50)

    priority_order = {"high": [], "medium": [], "low": []}
    for m in UNTESTED_MODULES:
        priority_order[m["priority"]].append(m)

    for priority in ["high", "medium", "low"]:
        if priority_order[priority]:
            print(f"\n[{priority.upper()}]")
            for m in priority_order[priority]:
                print(f"  • {m['module']}")
                print(f"    {m['description']}")
                print(f"    Existing: {m['tests_exist']}")

    print("\n### 🎯 SPECIFIC UNTESTED AREAS")
    print("-" * 50)
    for area in SPECIFIC_UNTESTED:
        print(f"\n• {area['area']} [{area['priority']}]")
        print(f"  {area['details']}")

    print("\n" + "=" * 70)
    print("RECOMMENDATIONS FOR NEXT TESTS")
    print("=" * 70)
    print("""
1. HIGH PRIORITY:
   - MCP (Model Context Protocol) integration
   - RAG full pipeline (knowledge base → vector → retrieval)
   - Learning loop (evaluation → improvement)
   - Multi-agent collaboration in teams
   - Dynamic orchestration

2. MEDIUM PRIORITY:
   - Tool system internals
   - Agent managers
   - Quality framework
   - Observability
   
3. LOWER PRIORITY:
   - UI events
   - Hot reload
   - Mailbox system
   - Checkpoint JSON
""")


if __name__ == "__main__":
    main()
