from typing import Optional

import pandas as pd
import requests
import duckdb

from mindsdb_sql import parse_sql
from mindsdb_sql.parser.ast.base import ASTNode

from mindsdb.utilities import log
from mindsdb.integrations.libs.base import DatabaseHandler
from mindsdb.integrations.libs.response import (
    HandlerStatusResponse as StatusResponse,
    HandlerResponse as Response,
    RESPONSE_TYPE
)

logger = log.getLogger(__name__)


class AirtableHandler(DatabaseHandler):
    """
    This handler handles connection and execution of the Airtable statements.
    """

    name = 'airtable'

    def __init__(self, name: str, connection_data: Optional[dict], **kwargs):
        """
        Initialize the handler.
        Args:
            name (str): name of particular handler instance
            connection_data (dict): parameters for connecting to the database
            **kwargs: arbitrary keyword arguments.
        """
        super().__init__(name)
        self.parser = parse_sql
        self.dialect = 'airtable'
        self.connection_data = connection_data
        self.kwargs = kwargs

        self.connection = None
        self.is_connected = False

    def __del__(self):
        if self.is_connected is True:
            self.disconnect()

    def connect(self) -> StatusResponse:
        """
        Set up the connection required by the handler.
        Returns:
            HandlerStatusResponse
        """

        if self.is_connected is True:
            return self.connection

        url = f"https://api.airtable.com/v0/{self.connection_data['base_id']}/{self.connection_data['table_name']}"
        headers = {"Authorization": "Bearer " + self.connection_data['api_key']}

        response = requests.get(url, headers=headers)
        response = response.json()
        records = response['records']

        new_records = True
        while new_records:
            try:
                if response['offset']:
                    params = {"offset": response['offset']}
                    response = requests.get(url, params=params, headers=headers)
                    response = response.json()

                    new_records = response['records']
                    records = records + new_records
            except Exception:
                new_records = False

        rows = [record['fields'] for record in records]
        globals()[self.connection_data['table_name']] = pd.DataFrame(rows)

        self.connection = duckdb.connect()
        self.is_connected = True

        return self.connection

    def disconnect(self):
        """
        Close any existing connections.
        """

        if self.is_connected is False:
            return

        self.connection.close()
        self.is_connected = False
        return self.is_connected

    def check_connection(self) -> StatusResponse:
        """
        Check connection to the handler.
        Returns:
            HandlerStatusResponse
        """

        response = StatusResponse(False)
        need_to_close = self.is_connected is False

        try:
            self.connect()
            response.success = True
        except Exception as e:
            logger.error(f'Error connecting to Airtable base {self.connection_data["base_id"]}, {e}!')
            response.error_message = str(e)
        finally:
            if response.success is True and need_to_close:
                self.disconnect()
            if response.success is False and self.is_connected is True:
                self.is_connected = False

        return response

    def native_query(self, query: str) -> StatusResponse:
        """
        Receive raw query and act upon it somehow.
        Args:
            query (str): query in native format
        Returns:
            HandlerResponse
        """

        need_to_close = self.is_connected is False

        connection = self.connect()
        cursor = connection.cursor()
        try:
            cursor.execute(query)
            result = cursor.fetchall()
            if result:
                response = Response(
                    RESPONSE_TYPE.TABLE,
                    data_frame=pd.DataFrame(
                        result,
                        columns=[x[0] for x in cursor.description]
                    )
                )

            else:
                response = Response(RESPONSE_TYPE.OK)
                connection.commit()
        except Exception as e:
            logger.error(f'Error running query: {query} on table {self.connection_data["table_name"]} in base {self.connection_data["base_id"]}!')
            response = Response(
                RESPONSE_TYPE.ERROR,
                error_message=str(e)
            )

        if need_to_close is True:
            self.disconnect()

        return response

    def query(self, query: ASTNode) -> StatusResponse:
        """
        Receive query as AST (abstract syntax tree) and act upon it somehow.
        Args:
            query (ASTNode): sql query represented as AST. May be any kind
                of query: SELECT, INTSERT, DELETE, etc
        Returns:
            HandlerResponse
        """

        return self.native_query(query.to_string())

    def get_tables(self) -> StatusResponse:
        """
        Return list of entities that will be accessible as tables.
        Returns:
            HandlerResponse
        """

        response = Response(
            RESPONSE_TYPE.TABLE,
            data_frame=pd.DataFrame(
                [self.connection_data['table_name']],
                columns=['table_name']
            )
        )

        return response

    def get_columns(self) -> StatusResponse:
        """
        Returns a list of entity columns.
        Args:
            table_name (str): name of one of tables returned by self.get_tables()
        Returns:
            HandlerResponse
        """

        response = Response(
            RESPONSE_TYPE.TABLE,
            data_frame=pd.DataFrame(
                {
                    'column_name': list(globals()[self.connection_data['table_name']].columns),
                    'data_type': globals()[self.connection_data['table_name']].dtypes
                }
            )
        )

        return response
