"""
Integration Tests for Foundation Tools

Tests core authentication, connection, and discovery functionality
with real SAP Datasphere APIs.
"""

import pytest
import os
from typing import Dict, Any


class TestFoundationTools:
    """Test suite for foundation tools (authentication and connection)"""

    @pytest.fixture(autouse=True)
    def setup_env(self):
        """Ensure environment variables are loaded"""
        # Check if OAuth credentials are available
        required_vars = [
            "DATASPHERE_BASE_URL",
            "DATASPHERE_CLIENT_ID",
            "DATASPHERE_CLIENT_SECRET",
            "DATASPHERE_TOKEN_URL",
            "DATASPHERE_TENANT_ID"
        ]

        missing_vars = [var for var in required_vars if not os.getenv(var)]

        if missing_vars:
            pytest.skip(f"Missing environment variables: {', '.join(missing_vars)}")

    @pytest.mark.asyncio
    async def test_connection(self):
        """Test OAuth connection to SAP Datasphere"""
        # This would use the MCP client to call test_connection tool
        # For now, this is a placeholder showing the test structure

        result = await self.call_mcp_tool("test_connection", {})

        assert result is not None
        assert result.get("status") == "connected"
        assert result.get("authenticated") is True
        assert "oauth_status" in result

    @pytest.mark.asyncio
    async def test_get_current_user(self):
        """Test getting current user information from JWT token"""
        result = await self.call_mcp_tool("get_current_user", {})

        assert result is not None
        assert "user_id" in result or "claims" in result
        assert result.get("authenticated") is True

    @pytest.mark.asyncio
    async def test_get_tenant_info(self):
        """Test retrieving tenant information"""
        result = await self.call_mcp_tool("get_tenant_info", {})

        assert result is not None
        assert "tenant_id" in result or "tenant_url" in result

    @pytest.mark.asyncio
    async def test_list_spaces(self):
        """Test listing available spaces"""
        result = await self.call_mcp_tool("list_spaces", {})

        assert result is not None
        assert "spaces" in result
        assert isinstance(result["spaces"], list)
        assert len(result["spaces"]) > 0

        # Check expected spaces exist
        space_ids = [space["id"] for space in result["spaces"]]
        assert "SAP_CONTENT" in space_ids or "DEVAULT_SPACE" in space_ids

    @pytest.mark.asyncio
    async def test_get_available_scopes(self):
        """Test getting OAuth scopes"""
        result = await self.call_mcp_tool("get_available_scopes", {})

        assert result is not None
        assert "scopes" in result
        assert isinstance(result["scopes"], list)

    # Helper method (would be implemented with actual MCP client)
    async def call_mcp_tool(self, tool_name: str, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Call an MCP tool and return the result

        This is a placeholder - actual implementation would use MCP client
        to communicate with the server via stdio or HTTP.
        """
        # TODO: Implement actual MCP client call
        raise NotImplementedError("MCP client integration needed")


class TestDataDiscovery:
    """Test suite for data discovery and catalog tools"""

    @pytest.mark.asyncio
    async def test_get_space_info(self):
        """Test getting detailed space information"""
        # First get list of spaces
        spaces_result = await self.call_mcp_tool("list_spaces", {})
        assert len(spaces_result["spaces"]) > 0

        # Get info for first space
        space_id = spaces_result["spaces"][0]["id"]
        result = await self.call_mcp_tool("get_space_info", {"space_id": space_id})

        assert result is not None
        assert result.get("space_id") == space_id

    @pytest.mark.asyncio
    async def test_list_catalog_assets(self):
        """Test listing catalog assets"""
        result = await self.call_mcp_tool("list_catalog_assets", {})

        assert result is not None
        assert "assets" in result
        assert isinstance(result["assets"], list)

    @pytest.mark.asyncio
    async def test_search_tables(self):
        """Test table search with keyword"""
        result = await self.call_mcp_tool("search_tables", {
            "keyword": "sales",
            "space_id": "SAP_CONTENT"
        })

        assert result is not None
        assert "tables" in result or "results" in result

    @pytest.mark.asyncio
    async def test_get_table_schema(self):
        """Test retrieving table schema"""
        # First find a table
        assets = await self.call_mcp_tool("list_catalog_assets", {
            "space_id": "SAP_CONTENT"
        })

        if len(assets.get("assets", [])) > 0:
            table_name = assets["assets"][0]["name"]

            result = await self.call_mcp_tool("get_table_schema", {
                "space_id": "SAP_CONTENT",
                "table_name": table_name
            })

            assert result is not None
            assert "columns" in result
            assert isinstance(result["columns"], list)

    async def call_mcp_tool(self, tool_name: str, params: Dict[str, Any]) -> Dict[str, Any]:
        """Placeholder for MCP tool calls"""
        raise NotImplementedError("MCP client integration needed")


class TestETLWorkflow:
    """Test suite for complete ETL data extraction workflow"""

    @pytest.mark.asyncio
    async def test_complete_etl_workflow(self):
        """Test complete ETL workflow: discover → schema → query → extract"""

        # Step 1: List spaces
        spaces = await self.call_mcp_tool("list_spaces", {})
        assert len(spaces["spaces"]) > 0
        space_id = spaces["spaces"][0]["id"]

        # Step 2: List assets in space
        assets = await self.call_mcp_tool("list_catalog_assets", {
            "space_id": space_id
        })
        assert len(assets.get("assets", [])) > 0
        asset_name = assets["assets"][0]["name"]

        # Step 3: Get table schema
        schema = await self.call_mcp_tool("get_table_schema", {
            "space_id": space_id,
            "table_name": asset_name
        })
        assert "columns" in schema
        assert len(schema["columns"]) > 0

        # Step 4: List relational entities
        entities = await self.call_mcp_tool("list_relational_entities", {
            "space_id": space_id,
            "asset_id": asset_name
        })
        assert "entities" in entities or "value" in entities

        # Step 5: Query relational entity (small batch)
        if "value" in entities and len(entities["value"]) > 0:
            entity_name = entities["value"][0]["name"]

            result = await self.call_mcp_tool("query_relational_entity", {
                "space_id": space_id,
                "asset_id": asset_name,
                "entity_name": entity_name,
                "top": 10
            })

            assert result is not None
            assert "value" in result or "data" in result

    @pytest.mark.asyncio
    async def test_large_batch_extraction(self):
        """Test large batch data extraction (ETL optimization)"""
        # Test pagination with skip/top
        batch_size = 1000
        skip = 0
        total_records = 0

        while True:
            result = await self.call_mcp_tool("query_relational_entity", {
                "space_id": "SAP_CONTENT",
                "asset_id": "SAP_SC_SALES_V_Fact_Sales",
                "entity_name": "Results",
                "top": batch_size,
                "skip": skip
            })

            records = result.get("value", [])
            if not records:
                break

            total_records += len(records)
            skip += batch_size

            # Limit test to 5000 records
            if total_records >= 5000:
                break

        assert total_records > 0

    async def call_mcp_tool(self, tool_name: str, params: Dict[str, Any]) -> Dict[str, Any]:
        """Placeholder for MCP tool calls"""
        raise NotImplementedError("MCP client integration needed")


class TestCachePerformance:
    """Test suite for cache performance validation"""

    @pytest.mark.asyncio
    async def test_cache_hit_rate(self):
        """Test that caching improves performance for repeated queries"""
        tool_name = "list_spaces"

        # First call (cache miss)
        import time
        start1 = time.time()
        result1 = await self.call_mcp_tool(tool_name, {})
        time1 = time.time() - start1

        # Second call (should be cache hit)
        start2 = time.time()
        result2 = await self.call_mcp_tool(tool_name, {})
        time2 = time.time() - start2

        # Verify results are the same
        assert result1 == result2

        # Second call should be significantly faster (cache hit)
        # Allow some variance, but expect at least 2x improvement
        assert time2 < time1 * 0.8, f"Cache hit not faster: {time1:.3f}s vs {time2:.3f}s"

    @pytest.mark.asyncio
    async def test_cache_expiration(self):
        """Test that cache entries expire correctly"""
        import time

        # Get initial result
        result1 = await self.call_mcp_tool("list_spaces", {})

        # Wait for cache to expire (depends on TTL configuration)
        # For testing, we'd need to set a short TTL
        time.sleep(6)  # Assuming 5-second TTL for spaces

        # Get result again (should be fresh API call)
        result2 = await self.call_mcp_tool("list_spaces", {})

        # Results should still be valid
        assert result2 is not None
        assert "spaces" in result2

    async def call_mcp_tool(self, tool_name: str, params: Dict[str, Any]) -> Dict[str, Any]:
        """Placeholder for MCP tool calls"""
        raise NotImplementedError("MCP client integration needed")


if __name__ == "__main__":
    pytest.main([__file__, "-v", "--asyncio-mode=auto"])
