"""Unified SQL database tool."""

import sqlite3
from typing import (
    Any,
    Dict,
    Unpack,
    Optional,
    Annotated,
    TypedDict,
    final,
    override,
)

from pydantic import Field
from mcp.server.fastmcp import Context as MCPContext

from hanzo_tools.core import BaseTool, PermissionManager, auto_timeout

from .database_manager import DatabaseManager

# Parameter types
Query = Annotated[
    Optional[str],
    Field(
        description="SQL query to execute",
        default=None,
    ),
]

Pattern = Annotated[
    Optional[str],
    Field(
        description="Search pattern for table/column names or data",
        default=None,
    ),
]

Table = Annotated[
    Optional[str],
    Field(
        description="Table name for operations",
        default=None,
    ),
]

Action = Annotated[
    str,
    Field(
        description="Action: query (default), search, schema, stats",
        default="query",
    ),
]

Limit = Annotated[
    int,
    Field(
        description="Maximum rows to return",
        default=100,
    ),
]


class SQLParams(TypedDict, total=False):
    """Parameters for SQL tool."""

    query: Optional[str]
    pattern: Optional[str]
    table: Optional[str]
    action: str
    limit: int


@final
class SQLTool(BaseTool):
    """Unified SQL database tool."""

    def __init__(
        self, permission_manager: PermissionManager, db_manager: DatabaseManager
    ):
        """Initialize the SQL tool."""
        super().__init__(permission_manager)
        self.db_manager = db_manager

    @property
    @override
    def name(self) -> str:
        """Get the tool name."""
        return "sql"

    @property
    @override
    def description(self) -> str:
        """Get the tool description."""
        return """SQLite database. Actions: query (default), search, schema, stats.

Usage:
sql "SELECT * FROM users WHERE active = 1"
sql --action schema
sql --action search --pattern "john"
sql --action stats --table users
"""

    @override
    @auto_timeout("sql")
    async def call(
        self,
        ctx: MCPContext,
        **params: Unpack[SQLParams],
    ) -> str:
        """Execute SQL operation."""
        tool_ctx = self.create_tool_context(ctx)

        # Get current project database
        project_db = self.db_manager.get_current_project_db()
        if not project_db:
            return "Error: No project database found. Are you in a project directory?"

        # Extract action
        action = params.get("action", "query")

        # Route to appropriate handler
        if action == "query":
            return await self._handle_query(project_db, params, tool_ctx)
        elif action == "search":
            return await self._handle_search(project_db, params, tool_ctx)
        elif action == "schema":
            return await self._handle_schema(project_db, params, tool_ctx)
        elif action == "stats":
            return await self._handle_stats(project_db, params, tool_ctx)
        else:
            return f"Error: Unknown action '{action}'. Valid actions: query, search, schema, stats"

    async def _handle_query(self, project_db, params: Dict[str, Any], tool_ctx) -> str:
        """Execute SQL query."""
        query = params.get("query")
        if not query:
            return "Error: query required for query action"

        limit = params.get("limit", 100)

        try:
            with project_db.get_sqlite_connection() as conn:
                # Enable row factory for dict-like access
                conn.row_factory = sqlite3.Row

                # Add LIMIT if not present in SELECT queries
                query_upper = query.upper().strip()
                if query_upper.startswith("SELECT") and "LIMIT" not in query_upper:
                    query = f"{query} LIMIT {limit}"

                cursor = conn.execute(query)

                # Handle different query types
                if query_upper.startswith("SELECT"):
                    rows = cursor.fetchall()

                    if not rows:
                        return "No results found"

                    # Get column names
                    columns = [description[0] for description in cursor.description]

                    # Format as table
                    output = ["=== Query Results ==="]
                    output.append(f"Columns: {', '.join(columns)}")
                    output.append("-" * 60)

                    for row in rows:
                        row_data = []
                        for col in columns:
                            value = row[col]
                            if value is None:
                                value = "NULL"
                            elif isinstance(value, str) and len(value) > 50:
                                value = value[:50] + "..."
                            row_data.append(str(value))
                        output.append(" | ".join(row_data))

                    output.append(f"\nRows returned: {len(rows)}")
                    if len(rows) == limit:
                        output.append(f"(Limited to {limit} rows)")

                    return "\n".join(output)

                else:
                    # For INSERT, UPDATE, DELETE
                    conn.commit()
                    rows_affected = cursor.rowcount

                    if query_upper.startswith("INSERT"):
                        return f"Inserted {rows_affected} row(s)"
                    elif query_upper.startswith("UPDATE"):
                        return f"Updated {rows_affected} row(s)"
                    elif query_upper.startswith("DELETE"):
                        return f"Deleted {rows_affected} row(s)"
                    else:
                        return f"Query executed successfully. Rows affected: {rows_affected}"

        except Exception as e:
            await tool_ctx.error(f"Query failed: {str(e)}")
            return f"Error executing query: {str(e)}"

    async def _handle_search(self, project_db, params: Dict[str, Any], tool_ctx) -> str:
        """Search for data in tables."""
        pattern = params.get("pattern")
        if not pattern:
            return "Error: pattern required for search action"

        table = params.get("table")
        limit = params.get("limit", 100)

        try:
            with project_db.get_sqlite_connection() as conn:
                conn.row_factory = sqlite3.Row

                # Get all tables if not specified
                if not table:
                    cursor = conn.execute("""
                        SELECT name FROM sqlite_master 
                        WHERE type='table' AND name NOT LIKE 'sqlite_%'
                    """)
                    tables = [row[0] for row in cursor.fetchall()]
                else:
                    tables = [table]

                all_results = []

                for tbl in tables:
                    # Get columns
                    cursor = conn.execute(f"PRAGMA table_info({tbl})")
                    columns = [row[1] for row in cursor.fetchall()]

                    # Build search query
                    where_clauses = [f"{col} LIKE ?" for col in columns]
                    query = f"SELECT * FROM {tbl} WHERE {' OR '.join(where_clauses)} LIMIT {limit}"

                    # Search
                    cursor = conn.execute(query, [f"%{pattern}%"] * len(columns))
                    rows = cursor.fetchall()

                    if rows:
                        all_results.append((tbl, columns, rows))

                if not all_results:
                    return f"No results found for pattern '{pattern}'"

                # Format results
                output = [f"=== Search Results for '{pattern}' ==="]

                for tbl, columns, rows in all_results:
                    output.append(f"\nTable: {tbl}")
                    output.append(f"Columns: {', '.join(columns)}")
                    output.append("-" * 60)

                    for row in rows:
                        row_data = []
                        for col in columns:
                            value = row[col]
                            if value is None:
                                value = "NULL"
                            elif isinstance(value, str):
                                # Highlight matches
                                if pattern.lower() in str(value).lower():
                                    value = f"**{value}**"
                                if len(value) > 50:
                                    value = value[:50] + "..."
                            row_data.append(str(value))
                        output.append(" | ".join(row_data))

                    output.append(f"Found {len(rows)} row(s) in {tbl}")

                return "\n".join(output)

        except Exception as e:
            await tool_ctx.error(f"Search failed: {str(e)}")
            return f"Error during search: {str(e)}"

    async def _handle_schema(self, project_db, params: Dict[str, Any], tool_ctx) -> str:
        """Show database schema."""
        table = params.get("table")

        try:
            with project_db.get_sqlite_connection() as conn:
                if table:
                    # Show specific table schema
                    cursor = conn.execute(f"PRAGMA table_info({table})")
                    columns = cursor.fetchall()

                    if not columns:
                        return f"Table '{table}' not found"

                    output = [f"=== Schema for table '{table}' ==="]
                    output.append("Column | Type | Not Null | Default | Primary Key")
                    output.append("-" * 60)

                    for col in columns:
                        output.append(
                            f"{col[1]} | {col[2]} | {col[3]} | {col[4]} | {col[5]}"
                        )

                    # Get indexes
                    cursor = conn.execute(f"PRAGMA index_list({table})")
                    indexes = cursor.fetchall()

                    if indexes:
                        output.append("\nIndexes:")
                        for idx in indexes:
                            output.append(f"  {idx[1]} (unique: {idx[2]})")

                else:
                    # Show all tables
                    cursor = conn.execute("""
                        SELECT name, sql FROM sqlite_master 
                        WHERE type='table' AND name NOT LIKE 'sqlite_%'
                        ORDER BY name
                    """)
                    tables = cursor.fetchall()

                    if not tables:
                        return "No tables found in database"

                    output = ["=== Database Schema ==="]

                    for table_name, _create_sql in tables:
                        output.append(f"\nTable: {table_name}")

                        # Get row count
                        cursor = conn.execute(f"SELECT COUNT(*) FROM {table_name}")
                        count = cursor.fetchone()[0]
                        output.append(f"Rows: {count}")

                        # Get columns
                        cursor = conn.execute(f"PRAGMA table_info({table_name})")
                        columns = cursor.fetchall()
                        output.append(
                            f"Columns: {', '.join([col[1] for col in columns])}"
                        )

                return "\n".join(output)

        except Exception as e:
            await tool_ctx.error(f"Failed to get schema: {str(e)}")
            return f"Error getting schema: {str(e)}"

    async def _handle_stats(self, project_db, params: Dict[str, Any], tool_ctx) -> str:
        """Get database statistics."""
        table = params.get("table")

        try:
            with project_db.get_sqlite_connection() as conn:
                output = ["=== Database Statistics ==="]
                output.append(f"Database: {project_db.sqlite_path}")

                # Get file size
                db_size = project_db.sqlite_path.stat().st_size
                output.append(f"Size: {db_size / 1024 / 1024:.2f} MB")

                if table:
                    # Stats for specific table
                    cursor = conn.execute(f"SELECT COUNT(*) FROM {table}")
                    count = cursor.fetchone()[0]

                    output.append(f"\nTable: {table}")
                    output.append(f"Total rows: {count}")

                    # Get column stats
                    cursor = conn.execute(f"PRAGMA table_info({table})")
                    columns = cursor.fetchall()

                    output.append("\nColumn statistics:")
                    for col in columns:
                        col_name = col[1]
                        col_type = col[2]

                        # Get basic stats based on type
                        if "INT" in col_type.upper() or "REAL" in col_type.upper():
                            cursor = conn.execute(f"""
                                SELECT 
                                    MIN({col_name}) as min_val,
                                    MAX({col_name}) as max_val,
                                    AVG({col_name}) as avg_val,
                                    COUNT(DISTINCT {col_name}) as distinct_count
                                FROM {table}
                            """)
                            stats = cursor.fetchone()
                            output.append(
                                f"  {col_name}: min={stats[0]}, max={stats[1]}, avg={stats[2]:.2f}, distinct={stats[3]}"
                            )
                        else:
                            cursor = conn.execute(f"""
                                SELECT 
                                    COUNT(DISTINCT {col_name}) as distinct_count,
                                    COUNT(*) - COUNT({col_name}) as null_count
                                FROM {table}
                            """)
                            stats = cursor.fetchone()
                            output.append(
                                f"  {col_name}: distinct={stats[0]}, nulls={stats[1]}"
                            )

                else:
                    # Overall database stats
                    cursor = conn.execute("""
                        SELECT name FROM sqlite_master 
                        WHERE type='table' AND name NOT LIKE 'sqlite_%'
                    """)
                    tables = cursor.fetchall()

                    output.append(f"\nTotal tables: {len(tables)}")
                    output.append("\nTable row counts:")

                    total_rows = 0
                    for (table_name,) in tables:
                        cursor = conn.execute(f"SELECT COUNT(*) FROM {table_name}")
                        count = cursor.fetchone()[0]
                        total_rows += count
                        output.append(f"  {table_name}: {count} rows")

                    output.append(f"\nTotal rows across all tables: {total_rows}")

                return "\n".join(output)

        except Exception as e:
            await tool_ctx.error(f"Failed to get stats: {str(e)}")
            return f"Error getting stats: {str(e)}"

    def register(self, mcp_server) -> None:
        """Register this tool with the MCP server."""
        pass