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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:
@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 |