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: @classmethod def insert_to_database(cls, table_name: str, data: Union[Tuple, List[Tuple]], cols: List[str]=None): """Wrapper method to insert data to the database. Args: table_name (str): Name of the table in the database. data (Union[Tuple, List[Tuple]]): Data to be inserted in the table. It can be a single tuple or a list of tuples. cols (List[str], optional): List of columns in the table. If not provided, all columns will be used. Raises: ValidationError: If data is not a tuple or a list of tuples. InternalServerError: If an error occurs while inserting data to the database. """ 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() @classmethod def fetch_data_from_database(cls, table_name: str, cols_to_fetch: Union[str, List[str]], where_clause: str=None): """Method to fetch data from database using a SQL query. Args: table_name: str. Name of the table to fetch data from. cols_to_fetch: Union[str, List[str]]. Columns to fetch from the table. where_clause: str. Optional. Where clause to filter the data. Returns: List. List of tuples containing the fetched data. """ 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() @classmethod 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): """Updates the values of the columns in the table defined by `table_name` where the condition defined by `where_clause` is met. Args: table_name: str. Name of the table. cols_to_update: Union[str, List[str]]. Column/s to be updated. If a single column is to be updated, pass it as a string. If multiple columns are to be updated, pass them as a list of strings. where_clause: str. Conditions to be met by the rows to be updated. If no condition is to be imposed, pass it as None. new_values: Union[str, List[str]]. New values to be set in the columns. If a single column is to be updated, pass the new value as a string. If multiple columns are to be updated, pass the new values as a list of strings. Returns: bool. True if update was successful, False otherwise. """ 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