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A comprehensive data access layer for ldc lender apps

Project description

Lender Data Layer

A comprehensive data access layer for Django applications providing database operations, Redis caching, and various data mappers.

Features

  • Data Mappers: IMS and iOS specific data mappers with internal functions
  • Redis Integration: Caching layer with Redis support
  • Exception Handling: Custom exception classes for error handling
  • Utilities: Common utilities for data processing

Installation

pip install ldc-lender-datalayer

Quick Start

Using Data Mappers (Recommended)

# Import specific mappers
from lender_datalayer.ims_mappers import account_mapper, investor_mapper
from lender_datalayer.ios_mappers import user_mapper, bank_mapper

# Use mapper functions directly
user_data = user_mapper.get_user_by_id(user_id=123)
account_info = account_mapper.get_account_details(account_id=456)

Using Redis Operations

from lender_datalayer import RedisDataLayer

# Initialize Redis layer
redis = RedisDataLayer()

# Store data in cache
redis.store_data_in_redis_cache("user:123", {"name": "John", "email": "john@example.com"})

# Retrieve data from cache
user_data = redis.get_data_from_redis_cache("user:123")

# Delete data from cache
redis.delete_data_from_redis_cache("user:123")

Requirements

  • Python 3.8+
  • Django 5.2+
  • Redis 5.0+
  • PostgreSQL (with psycopg)

Usage Guidelines

✅ What End Users Should Use

1. Mapper Functions (Primary Usage)

# IMS Mappers
from lender_datalayer.ims_mappers import account_mapper, investor_mapper, cp_mapper

# Use internal functions of mappers
user_data = investor_mapper.get_investor_details(investor_id=123)
account_list = account_mapper.get_user_accounts(user_id=456)
cp_data = cp_mapper.get_cp_dashboard_data(cp_id=789)

2. iOS Mappers

from lender_datalayer.ios_mappers import user_mapper, bank_mapper, document_mapper

# Use internal functions of mappers
user_profile = user_mapper.get_user_profile(user_id=123)
bank_accounts = bank_mapper.get_user_bank_accounts(user_id=456)
documents = document_mapper.get_user_documents(user_id=789)

3. Redis Operations

from lender_datalayer import RedisDataLayer

redis = RedisDataLayer()

# Cache operations
redis.store_data_in_redis_cache("key", data, ttl=3600)
cached_data = redis.get_data_from_redis_cache("key")
redis.delete_data_from_redis_cache("key")

❌ What End Users Should NOT Use

Base Classes (Internal Use Only)

# DON'T use these directly - they are for internal mapper implementation
from lender_datalayer import BaseDataLayer  # ❌ Not for end users
from lender_datalayer import DataLayerUtils  # ❌ Not for end users

Custom Exception Classes (Internal Use Only)

# DON'T import these directly - they are used internally by mappers
from lender_datalayer import ConnectionError  # ❌ Not for end users
from lender_datalayer import QueryError  # ❌ Not for end users

Available Mappers

IMS Mappers

  • account_mapper - Account management functions
  • investor_mapper - Investor data functions
  • cp_mapper - Credit Partner functions
  • bank_mapper - Banking functions
  • document_mapper - Document handling functions
  • partner_mapper - Partner management functions
  • thirdparty_mapper - Third-party integration functions

iOS Mappers

  • user_mapper - User management functions
  • bank_mapper - Banking functions
  • document_mapper - Document handling functions
  • dashboard_mapper - Dashboard data functions
  • bureau_mapper - Credit bureau functions
  • kmi_mapper - KYC functions
  • thirdparty_mapper - Third-party integration functions

Development

# Install in development mode
pip install -e .[dev]

# Format code
black lender_datalayer/

# Type checking
mypy lender_datalayer/

License

This package is for personal use only.

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