# Licensed to Modin Development Team under one or more contributor license agreements.
# See the NOTICE file distributed with this work for additional information regarding
# copyright ownership.  The Modin Development Team licenses this file to you under the
# Apache License, Version 2.0 (the "License"); you may not use this file except in
# compliance with the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under
# the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific language
# governing permissions and limitations under the License.

"""
Module houses `ModinDatabaseConnection` class.

`ModinDatabaseConnection` lets a single process make its own connection to a
database to read from it. Whereas it's possible in pandas to pass an open
connection directly to `read_sql`, the open connection is not pickleable
in Modin, so each worker must open its own connection.
`ModinDatabaseConnection` saves the arguments that would normally be used to
make a db connection. It can make and provide a connection whenever the Modin
driver or a worker wants one.
"""

_PSYCOPG_LIB_NAME = "psycopg2"
_SQLALCHEMY_LIB_NAME = "sqlalchemy"


class UnsupportedDatabaseException(Exception):
    """Modin can't create a particular kind of database connection."""

    pass


class ModinDatabaseConnection:
    """
    Creates a SQL database connection.

    Parameters
    ----------
    lib : str
        The library for the SQL connection.
    *args : iterable
        Positional arguments to pass when creating the connection.
    **kwargs : dict
        Keyword arguments to pass when creating the connection.
    """

    def __init__(self, lib, *args, **kwargs):
        lib = lib.lower()
        if lib not in (_PSYCOPG_LIB_NAME, _SQLALCHEMY_LIB_NAME):
            raise UnsupportedDatabaseException(f"Unsupported database library {lib}")
        self.lib = lib
        self.args = args
        self.kwargs = kwargs
        self._dialect_is_microsoft_sql_cache = None

    def _dialect_is_microsoft_sql(self):
        """
        Tell whether this connection requires Microsoft SQL dialect.

        If this is a sqlalchemy connection, create an engine from args and
        kwargs. If that engine's driver is pymssql or pyodbc, this
        connection requires Microsoft SQL. Otherwise, it doesn't.

        Returns
        -------
        Boolean
        """
        if self._dialect_is_microsoft_sql_cache is None:
            self._dialect_is_microsoft_sql_cache = False
            if self.lib == _SQLALCHEMY_LIB_NAME:
                from sqlalchemy import create_engine

                self._dialect_is_microsoft_sql_cache = create_engine(
                    *self.args, **self.kwargs
                ).driver in ("pymssql", "pyodbc")

        return self._dialect_is_microsoft_sql_cache

    def get_connection(self):
        """
        Make the database connection and get it.

        For psycopg2, pass all arguments to psycopg2.connect() and return the
        result of psycopg2.connect(). For sqlalchemy, pass all arguments to
        sqlalchemy.create_engine() and return the result of calling connect()
        on the engine.

        Returns
        -------
        Any
            The open database connection.
        """
        if self.lib == _PSYCOPG_LIB_NAME:
            import psycopg2

            return psycopg2.connect(*self.args, **self.kwargs)
        if self.lib == _SQLALCHEMY_LIB_NAME:
            from sqlalchemy import create_engine

            return create_engine(*self.args, **self.kwargs).connect()

        raise UnsupportedDatabaseException("Unsupported database library")

    def get_string(self):
        """
        Get input connection string.

        Returns
        -------
        str
        """
        return self.args[0]

    def column_names_query(self, query):
        """
        Get a query that gives the names of columns that `query` would produce.

        Parameters
        ----------
        query : str
            The SQL query to check.

        Returns
        -------
        str
        """
        # This query looks odd, but it works in both PostgreSQL and Microsoft
        # SQL, which doesn't let you use a "limit" clause to select 0 rows.
        return f"SELECT * FROM ({query}) AS _ WHERE 1 = 0"

    def row_count_query(self, query):
        """
        Get a query that gives the names of rows that `query` would produce.

        Parameters
        ----------
        query : str
            The SQL query to check.

        Returns
        -------
        str
        """
        return f"SELECT COUNT(*) FROM ({query}) AS _"

    def partition_query(self, query, limit, offset):
        """
        Get a query that partitions the original `query`.

        Parameters
        ----------
        query : str
            The SQL query to get a partition.
        limit : int
            The size of the partition.
        offset : int
            Where the partition begins.

        Returns
        -------
        str
        """
        return (
            (
                f"SELECT * FROM ({query}) AS _ ORDER BY(SELECT NULL)"
                + f" OFFSET {offset} ROWS FETCH NEXT {limit} ROWS ONLY"
            )
            if self._dialect_is_microsoft_sql()
            else f"SELECT * FROM ({query}) AS _ LIMIT {limit} OFFSET {offset}"
        )