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from __future__ import annotations

import csv
import os
from collections.abc import Sequence
from tempfile import TemporaryDirectory
from typing import TYPE_CHECKING, Any, Literal

from airflow.providers.common.compat.sdk import BaseOperator
from airflow.providers.microsoft.azure.hooks.data_lake import AzureDataLakeHook
from airflow.providers.oracle.hooks.oracle import OracleHook

if TYPE_CHECKING:
    from airflow.sdk import Context


class OracleToAzureDataLakeOperator(BaseOperator):
    """
    Runs the query against Oracle and stores the file locally before loading it into Azure Data Lake.

    :param filename: file name to be used by the csv file.
    :param azure_data_lake_conn_id: destination azure data lake connection.
    :param azure_data_lake_path: destination path in azure data lake to put the file.
    :param oracle_conn_id: :ref:`Source Oracle connection <howto/connection:oracle>`.
    :param sql: SQL query to execute against the Oracle database. (templated)
    :param sql_params: Parameters to use in sql query. (templated)
    :param delimiter: field delimiter in the file.
    :param encoding: encoding type for the file.
    :param quotechar: Character to use in quoting.
    :param quoting: Quoting strategy. See csv library for more information.
       It can take on any of the csv.QUOTE_* constants.
    """

    template_fields: Sequence[str] = ("filename", "sql", "sql_params")
    template_fields_renderers = {"sql_params": "py"}
    ui_color = "#e08c8c"

    def __init__(
        self,
        *,
        filename: str,
        azure_data_lake_conn_id: str,
        azure_data_lake_path: str,
        oracle_conn_id: str,
        sql: str,
        sql_params: dict | None = None,
        delimiter: str = ",",
        encoding: str = "utf-8",
        quotechar: str = '"',
        quoting: Literal[0, 1, 2, 3] = csv.QUOTE_MINIMAL,
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        if sql_params is None:
            sql_params = {}
        self.filename = filename
        self.oracle_conn_id = oracle_conn_id
        self.sql = sql
        self.sql_params = sql_params
        self.azure_data_lake_conn_id = azure_data_lake_conn_id
        self.azure_data_lake_path = azure_data_lake_path
        self.delimiter = delimiter
        self.encoding = encoding
        self.quotechar = quotechar
        self.quoting = quoting

    def _write_temp_file(self, cursor: Any, path_to_save: str | bytes | int) -> None:
        with open(path_to_save, "w", encoding=self.encoding) as csvfile:
            csv_writer = csv.writer(
                csvfile,
                delimiter=self.delimiter,
                quotechar=self.quotechar,
                quoting=self.quoting,
            )
            csv_writer.writerow(field[0] for field in cursor.description)
            csv_writer.writerows(cursor)
            csvfile.flush()

    def execute(self, context: Context) -> None:
        oracle_hook = OracleHook(oracle_conn_id=self.oracle_conn_id)
        azure_data_lake_hook = AzureDataLakeHook(azure_data_lake_conn_id=self.azure_data_lake_conn_id)

        self.log.info("Dumping Oracle query results to local file")
        conn = oracle_hook.get_conn()
        cursor = conn.cursor()
        cursor.execute(self.sql, self.sql_params)

        with TemporaryDirectory(prefix="airflow_oracle_to_azure_op_") as temp:
            self._write_temp_file(cursor, os.path.join(temp, self.filename))
            self.log.info("Uploading local file to Azure Data Lake")
            azure_data_lake_hook.upload_file(
                os.path.join(temp, self.filename), os.path.join(self.azure_data_lake_path, self.filename)
            )
        cursor.close()
        conn.close()
