"""GraphQL Visualizer - Generate visual representations of GraphQL schemas."""

import sqlite3
from pathlib import Path

from theauditor.utils.logging import logger


class GraphQLVisualizer:
    """Generate visual representations of GraphQL schema and execution graph."""

    def __init__(self, db_path: Path):
        """Initialize visualizer with database connection."""
        self.db_path = db_path
        self.conn = sqlite3.connect(str(db_path))
        self.conn.row_factory = sqlite3.Row

    def generate(self, output_path: str, output_format: str = "svg", type_filter: str = None):
        """Generate GraphQL schema visualization."""
        logger.warning("GraphQL visualization is not yet implemented")
        logger.info("Generating simple text-based schema visualization...")

        cursor = self.conn.cursor()

        output = []
        output.append("GraphQL Schema Visualization")
        output.append("=" * 50)
        output.append("")

        if type_filter:
            cursor.execute(
                """
                SELECT type_id, type_name, kind
                FROM graphql_types
                WHERE type_name = ?
            """,
                (type_filter,),
            )
        else:
            cursor.execute("""
                SELECT type_id, type_name, kind
                FROM graphql_types
                ORDER BY type_name
            """)

        for type_row in cursor.fetchall():
            output.append(f"type {type_row['type_name']} ({type_row['kind']})")

            cursor.execute(
                """
                SELECT field_name, return_type
                FROM graphql_fields
                WHERE type_id = ?
            """,
                (type_row["type_id"],),
            )

            for field_row in cursor.fetchall():
                output.append(f"  {field_row['field_name']}: {field_row['return_type']}")

            output.append("")

        output_file = Path(output_path)
        if output_format == "dot":
            self._generate_dot(output_file, type_filter)
        else:
            output_file = output_file.with_suffix(".txt")
            output_file.write_text("\n".join(output))

        logger.info(f"Schema visualization saved to {output_file}")

    def _generate_dot(self, output_path: Path, type_filter: str = None):
        """Generate DOT format visualization (Graphviz compatible)."""
        cursor = self.conn.cursor()

        dot = []
        dot.append("digraph GraphQL {")
        dot.append("  rankdir=LR;")
        dot.append("  node [shape=box];")
        dot.append("")

        if type_filter:
            cursor.execute(
                """
                SELECT type_id, type_name, kind
                FROM graphql_types
                WHERE type_name = ?
            """,
                (type_filter,),
            )
        else:
            cursor.execute("""
                SELECT type_id, type_name, kind
                FROM graphql_types
                ORDER BY type_name
            """)

        for type_row in cursor.fetchall():
            type_name = type_row["type_name"]
            kind = type_row["kind"]
            dot.append(f'  "{type_name}" [label="{type_name}\\n({kind})"];')

            cursor.execute(
                """
                SELECT field_name, return_type
                FROM graphql_fields
                WHERE type_id = ?
            """,
                (type_row["type_id"],),
            )

            for field_row in cursor.fetchall():
                return_type = field_row["return_type"].rstrip("!").strip("[]")
                field_name = field_row["field_name"]
                dot.append(f'  "{type_name}" -> "{return_type}" [label="{field_name}"];')

        dot.append("}")

        output_path = output_path.with_suffix(".dot")
        output_path.write_text("\n".join(dot))

        logger.info(f"DOT file generated: {output_path}")
        logger.info("Run: dot -Tsvg input.dot -o output.svg")
