File size: 5,711 Bytes
bca1508
 
 
 
 
 
 
 
 
 
 
808bf67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bca1508
 
 
 
 
 
 
 
 
 
 
 
 
808bf67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bca1508
 
 
 
 
 
 
 
 
 
 
 
 
808bf67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bca1508
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
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):
        """
    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()

    @classmethod
    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()

    @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):
        """
    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