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| import pydantic | |
| from bson.objectid import ObjectId | |
| pydantic.json.ENCODERS_BY_TYPE[ObjectId] = str | |
| from typing import Union, Tuple, List | |
| from backend.utils import DBConnection | |
| from backend.core.Exceptions import * | |
| class DBQueries: | |
| def insert_to_database(cls, table_name: str, data: Union[Tuple, List[Tuple]], cols: List[str]=None): | |
| """ | |
| This method is used to insert data into a specified table in the database. | |
| Args: | |
| table_name (str): The name of the table into which the data will be inserted. | |
| data (Union[Tuple, List[Tuple]]): The data to be inserted into the table. It can be either a tuple or a list of tuples. | |
| cols (List[str], optional): A list of column names in the table. If not provided, the method will assume all columns are needed. Defaults to None. | |
| Raises: | |
| Exception: If the data type of 'data' is not a tuple or a list of tuples. | |
| Returns: | |
| None | |
| """ | |
| "\n This method is used to insert data into a specified table in the database.\n\n Args:\n table_name (str): The name of the table into which the data will be inserted.\n data (Union[Tuple, List[Tuple]]): The data to be inserted into the table. It can be either a tuple or a list of tuples.\n cols (List[str], optional): A list of column names in the table. If not provided, the method will assume all columns are needed. Defaults to None.\n\n Raises:\n Exception: If the data type of 'data' is not a tuple or a list of tuples.\n\n Returns:\n None\n " | |
| "\n This method is used to insert data into a specified table in the database.\n\n Args:\n table_name (str): The name of the table into which the data will be inserted.\n data (Union[Tuple, List[Tuple]]): The data to be inserted into the table. It can be either a tuple or a list of tuples.\n cols (List[str], optional): A list of column names in the table. If not provided, the method will assume all columns are needed. Defaults to None.\n\n Raises:\n Exception: If the data type of 'data' is not a tuple or a list of tuples.\n\n Returns:\n None\n " | |
| con = DBConnection.get_client() | |
| cursor = con.cursor() | |
| QUERY = f"INSERT INTO {{table_name}} ({','.join(cols)}) VALUES ".format(table_name=table_name) | |
| if isinstance(data, list): | |
| QUERY += '(' + ','.join(['%s' for _ in range(len(data[0]))]) + ')' | |
| cursor.executemany(QUERY, data) | |
| else: | |
| QUERY += '(' + ','.join(['%s' for _ in range(len(data))]) + ')' | |
| cursor.execute(QUERY, data) | |
| con.commit() | |
| def fetch_data_from_database(cls, table_name: str, cols_to_fetch: Union[str, List[str]], where_clause: str=None): | |
| """ | |
| This method fetches data from a specified table in the database based on the specified column(s) and optional WHERE clause. | |
| Args: | |
| table_name (str): The name of the table from which to fetch data. | |
| cols_to_fetch (Union[str, List[str]]): The column(s) to fetch from the table. Can be a single string or a list of strings. | |
| If a single string, it will be treated as a comma-separated list of columns. | |
| where_clause (str, optional): An optional WHERE clause to filter the data. Defaults to None. | |
| Returns: | |
| List[List[str]]: A list of lists, where each inner list represents a row of data fetched from the database. | |
| The order of the columns in the inner lists corresponds to the order specified in the cols_to_fetch parameter. | |
| Raises: | |
| None | |
| """ | |
| con = DBConnection.get_client() | |
| cursor = con.cursor() | |
| if isinstance(cols_to_fetch, str): | |
| cols_to_fetch = [cols_to_fetch] | |
| cols_to_fetch = ', '.join(cols_to_fetch) | |
| QUERY = 'SELECT {cols} FROM {table_name}'.format(cols=cols_to_fetch, table_name=table_name) | |
| if where_clause: | |
| QUERY = QUERY + ' WHERE ' + where_clause | |
| cursor.execute(QUERY) | |
| return cursor.fetchall() | |
| def update_data_in_database(cls, table_name: str, cols_to_update: Union[str, List[str]], where_clause: str=None, new_values: Union[str, List[str]]=None): | |
| """ | |
| This method updates the data in the specified table in the database. | |
| Args: | |
| table_name (str): The name of the table to be updated. | |
| cols_to_update (Union[str, List[str]]): The column(s) to be updated. If a single string, it should end with '=%s'. If a list, it should contain strings representing the column names followed by '=%s'. | |
| where_clause (str, optional): The WHERE clause to specify the conditions for the update. Defaults to None. | |
| new_values (Union[str, List[str]], optional): The new values to be updated in the specified columns. If a single string, it should be a list of values. If a list, it should contain the new values for the columns. Defaults to None. | |
| Returns: | |
| bool: Returns True if the update is successful. | |
| Raises: | |
| Exception: Raises an exception if the database connection fails. | |
| """ | |
| con = DBConnection.get_client() | |
| cursor = con.cursor() | |
| if isinstance(cols_to_update, str): | |
| cols_to_update = cols_to_update + '=%s' | |
| else: | |
| cols_to_update = '=%s, '.join(cols_to_update) | |
| if isinstance(new_values, str): | |
| new_values = [new_values] | |
| QUERY = 'UPDATE {table_name} SET {cols}'.format(table_name=table_name, cols=cols_to_update) | |
| if where_clause: | |
| QUERY = QUERY + ' WHERE ' + where_clause | |
| cursor.execute(QUERY, new_values) | |
| con.commit() | |
| return True |