"""
Integration tests for AI agents in memharness.

Tests embedded agents for complex memory operations like
summarization, context assembly, and intelligent retrieval.
"""

import asyncio
from unittest.mock import AsyncMock, patch

import pytest

# =============================================================================
# Agent Configuration Tests
# =============================================================================


class TestAgentConfiguration:
    """Tests for agent configuration and initialization."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_agents_disabled_by_default(self, memory):
        """Test that agents can be disabled."""
        try:
            status = await memory.get_agent_status()
            # Implementation decides default
            assert status is not None
        except AttributeError:
            pytest.skip("Agent status not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_enable_agents(self, memory):
        """Test enabling agents."""
        try:
            await memory.enable_agents(model="gpt-4o-mini")
            status = await memory.get_agent_status()
            assert status.get("enabled", False) is True
        except AttributeError:
            pytest.skip("Agent enable not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_agent_model_configuration(self, memory):
        """Test configuring agent model."""
        try:
            await memory.configure_agent(model="gpt-4o-mini", temperature=0.7, max_tokens=1000)

            config = await memory.get_agent_config()
            assert config.get("model") == "gpt-4o-mini"
        except AttributeError:
            pytest.skip("Agent configuration not implemented")


# =============================================================================
# Summarization Agent Tests
# =============================================================================


class TestSummarizationAgent:
    """Tests for the summarization agent."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_auto_summarize_long_conversation(self, memory):
        """Test automatic summarization of long conversations."""
        # Add many messages to trigger summarization
        for i in range(20):
            role = "user" if i % 2 == 0 else "assistant"
            await memory.add_conversational("t1", role, f"Message {i}: Lorem ipsum dolor sit amet")

        try:
            # Trigger summarization (if auto-summarize enabled)
            summary = await memory.summarize_thread("t1")

            assert summary is not None
            assert len(summary) > 0
        except AttributeError:
            pytest.skip("Summarization not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_manual_summarization(self, memory):
        """Test manual summarization request."""
        await memory.add_conversational("t1", "user", "What is Python?")
        await memory.add_conversational("t1", "assistant", "Python is a programming language.")
        await memory.add_conversational("t1", "user", "What can it do?")
        await memory.add_conversational(
            "t1", "assistant", "It can do web dev, data science, AI, and more."
        )

        try:
            summary = await memory.summarize_thread("t1", force=True)

            assert summary is not None
            assert isinstance(summary, str)
            # Summary should be shorter than original
        except AttributeError:
            pytest.skip("Manual summarization not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_summarization_preserves_key_info(self, memory):
        """Test that summarization preserves key information."""
        await memory.add_conversational(
            "t1", "user", "The meeting is scheduled for January 15th at 3pm"
        )
        await memory.add_conversational(
            "t1", "assistant", "I've noted the meeting on January 15th at 3pm"
        )
        await memory.add_conversational("t1", "user", "John and Sarah will attend")
        await memory.add_conversational("t1", "assistant", "Got it - John and Sarah are confirmed")

        try:
            summary = await memory.summarize_thread("t1", force=True)

            # Key info should be preserved (exact format depends on LLM)
            assert summary is not None
        except AttributeError:
            pytest.skip("Summarization not implemented")


# =============================================================================
# Context Assembly Agent Tests
# =============================================================================


class TestContextAssemblyAgent:
    """Tests for intelligent context assembly."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_intelligent_context_ranking(self, memory):
        """Test that context assembly ranks by relevance."""
        # Add diverse content
        await memory.add_knowledge("Python is great for web development with Django", source="docs")
        await memory.add_knowledge("Python excels at data science with pandas", source="docs")
        await memory.add_knowledge("JavaScript is used for frontend development", source="docs")

        await memory.add_conversational("t1", "user", "I want to analyze data")

        try:
            context = await memory.assemble_context_intelligent(
                query="data analysis with Python", thread_id="t1", max_tokens=1000
            )

            # Data science content should rank higher
            assert "data" in context.lower() or "pandas" in context.lower()
        except AttributeError:
            pytest.skip("Intelligent context assembly not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_context_with_reranking(self, memory):
        """Test context assembly with reranking enabled."""
        await memory.add_knowledge("Kubernetes uses pods", source="docs")
        await memory.add_knowledge("Docker builds containers", source="docs")
        await memory.add_knowledge("K8s orchestrates containers at scale", source="docs")

        try:
            context = await memory.assemble_context(
                query="container orchestration", thread_id="t1", rerank=True
            )

            assert context is not None
        except (AttributeError, TypeError):
            pytest.skip("Reranking not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_context_token_budget(self, memory):
        """Test context assembly respects token budget."""
        # Add lots of content
        for i in range(50):
            await memory.add_knowledge(f"Knowledge entry {i} with lots of content", source="test")

        try:
            context = await memory.assemble_context_intelligent(
                query="knowledge", thread_id="t1", max_tokens=500
            )

            # Context should be within budget (rough estimate)
            assert len(context.split()) < 700  # ~1.4 tokens per word average
        except AttributeError:
            pytest.skip("Token-budgeted context not implemented")


# =============================================================================
# Entity Extraction Agent Tests
# =============================================================================


class TestEntityExtractionAgent:
    """Tests for automatic entity extraction."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_auto_extract_entities(self, memory):
        """Test automatic entity extraction from text."""
        text = """
        John Smith works at Microsoft in Seattle.
        He collaborates with Sarah Johnson on the Azure project.
        The deadline is next Friday.
        """

        try:
            entities = await memory.extract_entities(text)

            assert entities is not None
            assert len(entities) > 0

            # Check for expected entity types
            entity_names = [e.get("name", "") for e in entities]
            assert any("John" in name or "Smith" in name for name in entity_names)
        except AttributeError:
            pytest.skip("Entity extraction not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_entity_extraction_and_storage(self, memory):
        """Test that extracted entities are stored."""
        text = "Alice works at Google on machine learning projects"

        try:
            await memory.extract_and_store_entities(text)

            # Search for extracted entity
            results = await memory.search_entity("Alice")
            assert len(results) >= 1
        except AttributeError:
            pytest.skip("Extract and store not implemented")


# =============================================================================
# Query Understanding Agent Tests
# =============================================================================


class TestQueryUnderstandingAgent:
    """Tests for query understanding and expansion."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_query_expansion(self, memory):
        """Test query expansion for better search."""
        try:
            expanded = await memory.expand_query("k8s deployment")

            # Should expand abbreviations
            assert expanded is not None
            # Kubernetes might be in expansion
        except AttributeError:
            pytest.skip("Query expansion not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_query_intent_classification(self, memory):
        """Test query intent classification."""
        try:
            intent = await memory.classify_query_intent("How do I deploy to Kubernetes?")

            assert intent is not None
            # Should identify as a how-to/instructional query
        except AttributeError:
            pytest.skip("Intent classification not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_multi_hop_retrieval(self, memory):
        """Test multi-hop retrieval for complex queries."""
        # Set up connected knowledge
        await memory.add_knowledge("Python uses pip for package management", source="docs")
        await memory.add_knowledge("pip packages are hosted on PyPI", source="docs")
        await memory.add_knowledge("PyPI is the Python Package Index", source="docs")

        try:
            results = await memory.multi_hop_search("Where do Python packages come from?", hops=2)

            assert results is not None
            # Should find connection through pip -> PyPI
        except AttributeError:
            pytest.skip("Multi-hop retrieval not implemented")


# =============================================================================
# Tool Selection Agent Tests
# =============================================================================


class TestToolSelectionAgent:
    """Tests for intelligent tool selection."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_recommend_tools(self, memory):
        """Test tool recommendation based on task."""
        # Add tools
        await memory.add_tool("github", "create_pr", "Create pull request", {})
        await memory.add_tool("github", "list_issues", "List repository issues", {})
        await memory.add_tool("slack", "send_message", "Send Slack message", {})

        try:
            recommendations = await memory.recommend_tools(
                "I need to create a pull request and notify the team"
            )

            assert recommendations is not None
            assert len(recommendations) >= 1
            # Should recommend github.create_pr and slack.send_message
        except AttributeError:
            pytest.skip("Tool recommendation not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_tool_chain_suggestion(self, memory):
        """Test suggesting tool chains for complex tasks."""
        await memory.add_tool("github", "create_pr", "Create PR", {})
        await memory.add_tool("github", "merge_pr", "Merge PR", {})
        await memory.add_tool("jira", "update_ticket", "Update Jira ticket", {})

        try:
            chain = await memory.suggest_tool_chain("Ship the feature and close the ticket")

            assert chain is not None
            # Should suggest: create_pr -> merge_pr -> update_ticket
        except AttributeError:
            pytest.skip("Tool chain suggestion not implemented")


# =============================================================================
# Memory Consolidation Agent Tests
# =============================================================================


class TestMemoryConsolidationAgent:
    """Tests for memory consolidation and cleanup."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_consolidate_similar_memories(self, memory):
        """Test consolidating similar memory entries."""
        await memory.add_knowledge("Python is a programming language", source="wiki")
        await memory.add_knowledge("Python is a high-level programming language", source="docs")
        await memory.add_knowledge("Python is a popular programming language", source="blog")

        try:
            await memory.consolidate_memories(similarity_threshold=0.9)

            # Similar entries might be merged
            await memory.search_knowledge("Python programming", k=10)
            # Exact behavior depends on implementation
        except AttributeError:
            pytest.skip("Memory consolidation not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_deduplicate_entities(self, memory):
        """Test deduplicating entity entries."""
        await memory.add_entity("John Doe", "PERSON", "Software engineer")
        await memory.add_entity("J. Doe", "PERSON", "Software engineer at Acme")
        await memory.add_entity("John D.", "PERSON", "Engineer")

        try:
            await memory.deduplicate_entities()

            # Should merge similar entities
            await memory.search_entity("John")
            # Might be consolidated
        except AttributeError:
            pytest.skip("Entity deduplication not implemented")


# =============================================================================
# Self-Exploration Tools Tests
# =============================================================================


class TestSelfExplorationTools:
    """Tests for agent self-exploration capabilities."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_memory_introspection(self, memory):
        """Test agent's ability to introspect memory state."""
        await memory.add_conversational("t1", "user", "Hello")
        await memory.add_knowledge("Test knowledge", source="test")

        try:
            introspection = await memory.introspect()

            assert introspection is not None
            assert "memory_types" in introspection or "stats" in introspection
        except AttributeError:
            pytest.skip("Memory introspection not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_memory_map(self, memory):
        """Test generating a memory map."""
        await memory.add_knowledge("Topic A content", source="test")
        await memory.add_knowledge("Topic B content", source="test")
        await memory.add_entity("Entity 1", "TYPE", "Description")

        try:
            memory_map = await memory.generate_memory_map()

            assert memory_map is not None
            # Should have structure information
        except AttributeError:
            pytest.skip("Memory map not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_find_knowledge_gaps(self, memory):
        """Test identifying knowledge gaps."""
        await memory.add_knowledge("Python basics", source="docs")
        await memory.add_knowledge("Python advanced", source="docs")
        # Missing: Python intermediate

        try:
            gaps = await memory.find_knowledge_gaps("Python learning path")

            assert gaps is not None
            # Might identify missing intermediate content
        except AttributeError:
            pytest.skip("Knowledge gap analysis not implemented")


# =============================================================================
# Mocked Agent Tests (for testing without LLM calls)
# =============================================================================


class TestMockedAgents:
    """Tests with mocked LLM calls for faster, deterministic testing."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_summarization_with_mock(self, memory):
        """Test summarization with mocked LLM."""
        await memory.add_conversational("t1", "user", "Message 1")
        await memory.add_conversational("t1", "assistant", "Response 1")

        try:
            with patch.object(memory, "_llm_call", new_callable=AsyncMock) as mock_llm:
                mock_llm.return_value = "Mocked summary of the conversation"

                summary = await memory.summarize_thread("t1", force=True)

                assert summary == "Mocked summary of the conversation"
                mock_llm.assert_called_once()
        except AttributeError:
            pytest.skip("LLM mocking not applicable")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_entity_extraction_with_mock(self, memory):
        """Test entity extraction with mocked LLM."""
        try:
            with patch.object(
                memory, "_extract_entities_llm", new_callable=AsyncMock
            ) as mock_extract:
                mock_extract.return_value = [
                    {"name": "John Doe", "type": "PERSON"},
                    {"name": "Acme Corp", "type": "ORGANIZATION"},
                ]

                entities = await memory.extract_entities("John Doe works at Acme Corp")

                assert len(entities) == 2
                assert entities[0]["name"] == "John Doe"
        except AttributeError:
            pytest.skip("Entity extraction mocking not applicable")


# =============================================================================
# Agent Error Handling Tests
# =============================================================================


class TestAgentErrorHandling:
    """Tests for agent error handling."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_agent_timeout(self, memory):
        """Test agent operation timeout handling."""
        try:
            with pytest.raises(asyncio.TimeoutError):
                await asyncio.wait_for(
                    memory.summarize_thread("t1", force=True),
                    timeout=0.001,  # Immediate timeout
                )
        except AttributeError:
            pytest.skip("Summarization not implemented")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_agent_graceful_degradation(self, memory):
        """Test graceful degradation when agent fails."""
        await memory.add_conversational("t1", "user", "Hello")

        try:
            # Simulate agent failure
            with patch.object(memory, "_llm_call", new_callable=AsyncMock) as mock_llm:
                mock_llm.side_effect = Exception("LLM unavailable")

                # Should fall back gracefully
                context = await memory.assemble_context("test", "t1")

                # Should still return something (non-agent fallback)
                assert context is not None
        except AttributeError:
            pytest.skip("Agent degradation not applicable")

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_agent_rate_limiting(self, memory):
        """Test agent respects rate limits."""
        try:
            # Make many rapid requests
            tasks = [memory.summarize_thread(f"t{i}", force=True) for i in range(10)]

            # Should handle rate limiting gracefully
            results = await asyncio.gather(*tasks, return_exceptions=True)

            # Some might fail due to rate limiting, but shouldn't crash
            assert len(results) == 10
        except AttributeError:
            pytest.skip("Summarization not implemented")


# =============================================================================
# Agent Integration Tests
# =============================================================================


class TestAgentIntegration:
    """Tests for agent integration with memory operations."""

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_full_conversation_workflow(self, memory):
        """Test full conversation workflow with agents."""
        # Simulate a conversation
        await memory.add_conversational("t1", "user", "Hi, I'm working on a Python project")
        await memory.add_conversational(
            "t1", "assistant", "I'd be happy to help with your Python project"
        )
        await memory.add_conversational("t1", "user", "I need to add database support")
        await memory.add_conversational("t1", "assistant", "SQLite or PostgreSQL would work well")

        # Add relevant knowledge
        await memory.add_knowledge("SQLite is good for small projects", source="docs")
        await memory.add_knowledge("PostgreSQL scales better for production", source="docs")

        try:
            # Assemble context for next query
            context = await memory.assemble_context("What database should I use?", thread_id="t1")

            assert context is not None
            # Should include conversation history and relevant knowledge
        except Exception:
            # Context assembly might have different signature
            pass

    @pytest.mark.asyncio
    @pytest.mark.agents
    async def test_agent_learns_from_interactions(self, memory):
        """Test that agent can learn from interactions."""
        # This tests skill/pattern learning
        await memory.add_conversational("t1", "user", "Deploy to staging")
        await memory.add_conversational("t1", "assistant", "Running: kubectl apply -f staging/")

        try:
            # Agent should learn this pattern
            await memory.learn_from_thread("t1")

            # Later, similar request should trigger learned behavior
            await memory.search_skills("deploy staging")
            # Might have learned the pattern
        except AttributeError:
            pytest.skip("Agent learning not implemented")
