File size: 1,638 Bytes
ef1ad9e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
# --- Library Imports ---
from sqlalchemy.exc import SQLAlchemyError
from fastapi import HTTPException, status
from sqlalchemy import text

# --- User Imports ---
from app.schema.response_schema import ResponseSchema

class DocumentDropdownService:
    @staticmethod
    async def _fetch_data(query: str, success_message: str, db) -> dict:
        """

        Fetch data from the database.



        Parameters:

        - query: SQL query string

        - success_message: Success message string

        - db: Database session



        Returns:

        - ResponseSchema: Response object containing fetched data

        """
        try:
            # Execute the SQL query
            result = db.execute(text(query))
            column_names = result.keys()
            data = [dict(zip(column_names, row)) for row in result.fetchall()]

            return ResponseSchema(
                status=200,
                message=success_message,
                success=True,
                data=data,
            )
        except SQLAlchemyError as e:
            db.rollback()
            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
        
    @staticmethod
    async def get_loanTypes(db):
        """

        Fetch document status data.



        Parameters:

        - db: Database session



        Returns:

        - ResponseSchema: Response object containing document status data

        """
        return await DocumentDropdownService._fetch_data(
            'SELECT * FROM "DocumentStatuses";', "Document status fetched successfully!", db
        )