from typing import List, Any, Dict
from datetime import datetime, timedelta
from psycopg import AsyncConnection, sql


class SchemeRepository:

    # --- Link Simulation ---

    @staticmethod
    async def insert_links_batch(conn: AsyncConnection, data: List[dict]):
        """Batch insert for scheme.link_simulation using COPY for performance."""
        if not data:
            return

        async with conn.cursor() as cur:
            async with cur.copy(
                "COPY scheme.link_simulation (time, scheme, id, flow, friction, headloss, quality, reaction, setting, status, velocity) FROM STDIN"
            ) as copy:
                for item in data:
                    await copy.write_row(
                        (
                            item["time"],
                            item["scheme"],
                            item["id"],
                            item.get("flow"),
                            item.get("friction"),
                            item.get("headloss"),
                            item.get("quality"),
                            item.get("reaction"),
                            item.get("setting"),
                            item.get("status"),
                            item.get("velocity"),
                        )
                    )

    @staticmethod
    async def get_link_by_scheme_and_time_range(
        conn: AsyncConnection,
        scheme: str,
        start_time: datetime,
        end_time: datetime,
        link_id: str,
    ) -> List[dict]:
        async with conn.cursor() as cur:
            await cur.execute(
                "SELECT * FROM scheme.link_simulation WHERE scheme = %s AND time >= %s AND time <= %s AND id = %s",
                (scheme, start_time, end_time, link_id),
            )
            return await cur.fetchall()

    @staticmethod
    async def get_links_by_scheme_and_time_range(
        conn: AsyncConnection, scheme: str, start_time: datetime, end_time: datetime
    ) -> List[dict]:
        async with conn.cursor() as cur:
            await cur.execute(
                "SELECT * FROM scheme.link_simulation WHERE scheme = %s AND time >= %s AND time <= %s",
                (scheme, start_time, end_time),
            )
            return await cur.fetchall()

    @staticmethod
    async def get_link_field_by_scheme_and_time_range(
        conn: AsyncConnection,
        scheme: str,
        start_time: datetime,
        end_time: datetime,
        link_id: str,
        field: str,
    ) -> Any:
        # Validate field name to prevent SQL injection
        valid_fields = {
            "flow",
            "friction",
            "headloss",
            "quality",
            "reaction",
            "setting",
            "status",
            "velocity",
        }
        if field not in valid_fields:
            raise ValueError(f"Invalid field: {field}")

        query = sql.SQL(
            "SELECT {} FROM scheme.link_simulation WHERE scheme = %s AND time >= %s AND time <= %s AND id = %s"
        ).format(sql.Identifier(field))

        async with conn.cursor() as cur:
            await cur.execute(query, (scheme, start_time, end_time, link_id))
            row = await cur.fetchone()
            return row[field] if row else None

    @staticmethod
    async def get_links_field_by_scheme_and_time_range(
        conn: AsyncConnection,
        scheme: str,
        start_time: datetime,
        end_time: datetime,
        field: str,
    ) -> Any:
        # Validate field name to prevent SQL injection
        valid_fields = {
            "flow",
            "friction",
            "headloss",
            "quality",
            "reaction",
            "setting",
            "status",
            "velocity",
        }
        if field not in valid_fields:
            raise ValueError(f"Invalid field: {field}")

        query = sql.SQL(
            "SELECT {} FROM scheme.link_simulation WHERE scheme = %s AND time >= %s AND time <= %s"
        ).format(sql.Identifier(field))

        async with conn.cursor() as cur:
            await cur.execute(query, (scheme, start_time, end_time))
            row = await cur.fetchone()
            return row[field] if row else None

    @staticmethod
    async def update_link_field(
        conn: AsyncConnection,
        time: datetime,
        scheme: str,
        link_id: str,
        field: str,
        value: Any,
    ):
        valid_fields = {
            "flow",
            "friction",
            "headloss",
            "quality",
            "reaction",
            "setting",
            "status",
            "velocity",
        }
        if field not in valid_fields:
            raise ValueError(f"Invalid field: {field}")

        query = sql.SQL(
            "UPDATE scheme.link_simulation SET {} = %s WHERE time = %s AND scheme = %s AND id = %s"
        ).format(sql.Identifier(field))

        async with conn.cursor() as cur:
            await cur.execute(query, (value, time, scheme, link_id))

    @staticmethod
    async def delete_links_by_scheme_and_time_range(
        conn: AsyncConnection, scheme: str, start_time: datetime, end_time: datetime
    ):
        async with conn.cursor() as cur:
            await cur.execute(
                "DELETE FROM scheme.link_simulation WHERE scheme = %s AND time >= %s AND time <= %s",
                (scheme, start_time, end_time),
            )

    # --- Node Simulation ---

    @staticmethod
    async def insert_nodes_batch(conn: AsyncConnection, data: List[dict]):
        if not data:
            return

        async with conn.cursor() as cur:
            async with cur.copy(
                "COPY scheme.node_simulation (time, scheme, id, actual_demand, total_head, pressure, quality) FROM STDIN"
            ) as copy:
                for item in data:
                    await copy.write_row(
                        (
                            item["time"],
                            item["scheme"],
                            item["id"],
                            item.get("actual_demand"),
                            item.get("total_head"),
                            item.get("pressure"),
                            item.get("quality"),
                        )
                    )

    @staticmethod
    async def get_node_by_scheme_and_time_range(
        conn: AsyncConnection,
        scheme: str,
        start_time: datetime,
        end_time: datetime,
        node_id: str,
    ) -> List[dict]:
        async with conn.cursor() as cur:
            await cur.execute(
                "SELECT * FROM scheme.node_simulation WHERE scheme = %s AND time >= %s AND time <= %s AND id = %s",
                (scheme, start_time, end_time, node_id),
            )
            return await cur.fetchall()

    @staticmethod
    async def get_nodes_by_scheme_and_time_range(
        conn: AsyncConnection, scheme: str, start_time: datetime, end_time: datetime
    ) -> List[dict]:
        async with conn.cursor() as cur:
            await cur.execute(
                "SELECT * FROM scheme.node_simulation WHERE scheme = %s AND time >= %s AND time <= %s",
                (scheme, start_time, end_time),
            )
            return await cur.fetchall()

    @staticmethod
    async def get_node_field_by_scheme_and_time_range(
        conn: AsyncConnection,
        scheme: str,
        start_time: datetime,
        end_time: datetime,
        node_id: str,
        field: str,
    ) -> Any:
        # Validate field name to prevent SQL injection
        valid_fields = {"actual_demand", "total_head", "pressure", "quality"}
        if field not in valid_fields:
            raise ValueError(f"Invalid field: {field}")

        query = sql.SQL(
            "SELECT {} FROM scheme.node_simulation WHERE scheme = %s AND time >= %s AND time <= %s AND id = %s"
        ).format(sql.Identifier(field))

        async with conn.cursor() as cur:
            await cur.execute(query, (scheme, start_time, end_time, node_id))
            row = await cur.fetchone()
            return row[field] if row else None

    @staticmethod
    async def get_nodes_field_by_scheme_and_time_range(
        conn: AsyncConnection,
        scheme: str,
        start_time: datetime,
        end_time: datetime,
        field: str,
    ) -> Any:
        # Validate field name to prevent SQL injection
        valid_fields = {"actual_demand", "total_head", "pressure", "quality"}
        if field not in valid_fields:
            raise ValueError(f"Invalid field: {field}")

        query = sql.SQL(
            "SELECT {} FROM scheme.node_simulation WHERE scheme = %s AND time >= %s AND time <= %s"
        ).format(sql.Identifier(field))

        async with conn.cursor() as cur:
            await cur.execute(query, (scheme, start_time, end_time))
            row = await cur.fetchone()
            return row[field] if row else None

    @staticmethod
    async def update_node_field(
        conn: AsyncConnection,
        time: datetime,
        scheme: str,
        node_id: str,
        field: str,
        value: Any,
    ):
        valid_fields = {"actual_demand", "total_head", "pressure", "quality"}
        if field not in valid_fields:
            raise ValueError(f"Invalid field: {field}")

        query = sql.SQL(
            "UPDATE scheme.node_simulation SET {} = %s WHERE time = %s AND scheme = %s AND id = %s"
        ).format(sql.Identifier(field))

        async with conn.cursor() as cur:
            await cur.execute(query, (value, time, scheme, node_id))

    @staticmethod
    async def delete_nodes_by_scheme_and_time_range(
        conn: AsyncConnection, scheme: str, start_time: datetime, end_time: datetime
    ):
        async with conn.cursor() as cur:
            await cur.execute(
                "DELETE FROM scheme.node_simulation WHERE scheme = %s AND time >= %s AND time <= %s",
                (scheme, start_time, end_time),
            )

    # --- 复合查询 ---

    @staticmethod
    async def store_scheme_simulation_result(
        conn: AsyncConnection,
        scheme: str,
        node_result_list: List[Dict[str, any]],
        link_result_list: List[Dict[str, any]],
        result_start_time: str,
    ):
        """
        Store scheme simulation results to TimescaleDB.

        Args:
            conn: Database connection
            scheme: Scheme name
            node_result_list: List of node simulation results
            link_result_list: List of link simulation results
            result_start_time: Start time for the results (ISO format string)
        """
        # Convert result_start_time string to datetime if needed
        if isinstance(result_start_time, str):
            simulation_time = datetime.fromisoformat(
                result_start_time.replace("Z", "+00:00")
            )
        else:
            simulation_time = result_start_time

        # Prepare node data for batch insert
        node_data = []
        for node_result in node_result_list:
            node_data.append(
                {
                    "time": simulation_time,
                    "scheme": scheme,
                    "id": node_result.get("id"),
                    "actual_demand": node_result.get("actual_demand"),
                    "total_head": node_result.get("total_head"),
                    "pressure": node_result.get("pressure"),
                    "quality": node_result.get("quality"),
                }
            )

        # Prepare link data for batch insert
        link_data = []
        for link_result in link_result_list:
            link_data.append(
                {
                    "time": simulation_time,
                    "scheme": scheme,
                    "id": link_result.get("id"),
                    "flow": link_result.get("flow"),
                    "friction": link_result.get("friction"),
                    "headloss": link_result.get("headloss"),
                    "quality": link_result.get("quality"),
                    "reaction": link_result.get("reaction"),
                    "setting": link_result.get("setting"),
                    "status": link_result.get("status"),
                    "velocity": link_result.get("velocity"),
                }
            )

        # Insert data using batch methods
        if node_data:
            await SchemeRepository.insert_nodes_batch(conn, node_data)

        if link_data:
            await SchemeRepository.insert_links_batch(conn, link_data)

    @staticmethod
    async def query_all_record_by_scheme_time_property(
        conn: AsyncConnection,
        scheme: str,
        query_time: str,
        type: str,
        property: str,
    ) -> list:
        """
        Query all records by scheme, time and property from TimescaleDB.

        Args:
            conn: Database connection
            scheme: Scheme name
            query_time: Time to query (ISO format string)
            type: Type of data ("node" or "link")
            property: Property/field to query

        Returns:
            List of records matching the criteria
        """
        # Convert query_time string to datetime
        if isinstance(query_time, str):
            target_time = datetime.fromisoformat(query_time.replace("Z", "+00:00"))
        else:
            target_time = query_time

        # Create time range: query_time ± 1 second
        start_time = target_time - timedelta(seconds=1)
        end_time = target_time + timedelta(seconds=1)

        # Query based on type
        if type.lower() == "node":
            return await SchemeRepository.get_nodes_field_by_scheme_and_time_range(
                conn, scheme, start_time, end_time, property
            )
        elif type.lower() == "link":
            return await SchemeRepository.get_links_field_by_scheme_and_time_range(
                conn, scheme, start_time, end_time, property
            )
        else:
            raise ValueError(f"Invalid type: {type}. Must be 'node' or 'link'")

    @staticmethod
    async def query_scheme_simulation_result_by_ID_time(
        conn: AsyncConnection,
        scheme: str,
        ID: str,
        type: str,
        query_time: str,
    ) -> list[dict]:
        """
        Query scheme simulation results by ID and time from TimescaleDB.

        Args:
            conn: Database connection
            scheme: Scheme name
            ID: The ID of the node or link
            type: Type of data ("node" or "link")
            query_time: Time to query (ISO format string)

        Returns:
            List of records matching the criteria
        """
        # Convert query_time string to datetime
        if isinstance(query_time, str):
            target_time = datetime.fromisoformat(query_time.replace("Z", "+00:00"))
        else:
            target_time = query_time

        # Create time range: query_time ± 1 second
        start_time = target_time - timedelta(seconds=1)
        end_time = target_time + timedelta(seconds=1)

        # Query based on type
        if type.lower() == "node":
            return await SchemeRepository.get_node_by_scheme_and_time_range(
                conn, scheme, start_time, end_time, ID
            )
        elif type.lower() == "link":
            return await SchemeRepository.get_link_by_scheme_and_time_range(
                conn, scheme, start_time, end_time, ID
            )
        else:
            raise ValueError(f"Invalid type: {type}. Must be 'node' or 'link'")