mfscreener

Description: MF Screener is a Java-based application designed to provide mutual fund screening capabilities. It allows users to fetch mutual fund data, including historical NAVs, scheme details, and portfolio information, through a set of RESTful APIs.

Setup:

1. Clone the repository.
2. Ensure Java 17, docker and gradle are installed.
3. Navigate to the project directory and follow steps at run-locally to start the application.

Usage:

• Fetch mutual fund schemes: GET /api/scheme/{schemeName}
• Upload portfolio details: POST /api/portfolio/upload
• Calculate XIRR: GET /api/xirr/{pan}

Acronyms

• ISIN - International Security Identification Number
• PAN - Personal Account Number
• CAS - Consolidated Account Statement

Simplified Class Diagram Concept

classDiagram
    class NAVController {
        +getScheme(schemeCode)
        +getSchemeNavOnDate(schemeCode, date)
    }
    class SchemeController {
        +fetchSchemes(schemeName)
        +fetchSchemesByFundName(fundName)
    }
    class PortfolioController {
        +upload(multipartFile)
        +getPortfolio(panNumber, date)
    }
    class XIRRCalculatorController {
        +getXIRR(pan)
    }
    class SchemeService {
        +fetchSchemeDetails(schemeCode)
        +fetchSchemes(schemeName)
    }
    class PortfolioService {
        +upload(multipartFile)
        +getPortfolioByPAN(panNumber, asOfDate)
    }
    class NavService {
        +getNav(schemeCode)
        +getNavOnDate(schemeCode, inputDate)
    }
    class LocalDateUtility {
        +getAdjustedDate(adjustedDate)
    }
    NAVController --> SchemeService : uses
    SchemeController --> SchemeService : uses
    PortfolioController --> PortfolioService : uses
    XIRRCalculatorController --> NavService : uses
    SchemeService --> LocalDateUtility : uses
    PortfolioService --> LocalDateUtility : uses
    NavService --> LocalDateUtility : uses

This overview and class diagram provide a conceptual understanding of the project's structure. For detailed class relationships and method signatures, please refer to the source code directly.

Run tests

./gradlew clean test integrationTest

Run locally

docker-compose -f docker/docker-compose.yml up -d
./gradlew bootRun -Plocal

Using Testcontainers at Development Time

You can run TestApplication.java from your IDE directly. You can also run the application using Gradle as follows:

./gradlew spotlessApply bootTestRun

Useful Links

• Swagger UI: http://localhost:8080/swagger-ui.html
• Actuator Endpoint: http://localhost:8080/actuator
• PgAdmin (UI for Postgres Database) : http://localhost:5050 (pgadmin4@pgadmin.org/admin)
• Grafana : http://localhost:3000 (admin/admin)
• JobRunr Dashboard: http://localhost:8000/dashboard/overview

Check redis keys

• To check redis keys from docker issue below command

docker exec -it docker-redis-1 redis-cli

127.0.0.1:6379> keys *

how to read CAS Data using casparser

• Install phyton
• install casparser using command

  pip install casparser

• generate json using below command and upload to system

  casparser 42103626220211831ZFFDEPR3H0RBD644686241F761CPIMBCP142488446.pdf -p ABCDE1234F -o pdf_parsed.json

  Here 2nd argument is the path of the pdf file, followed by password of CAS file and the output Type needed