anddy-96/upi-scrapping

1. Repository shape

- This is a very small Java/Maven project, centered around a single application class: upcheck/src/main/java/TimeSeriesChart.java.

- There is no evidence of separate backend, database, or service layers; the architecture is essentially a single-process data collection + visualization tool.

2. Primary purpose

- The app pulls the latest UPI transaction-app rankings from NPCI and shows the top 5 apps over the last 5 months.

- The output appears to be a time-series chart comparing the latest month against prior months.

3. External data boundary

- The only clear external dependency in the architecture is the NPCI statistics page:

- https://www.npci.org.in/what-we-do/upi/upi-ecosystem-statistics

- This is the system’s upstream data source and the main point where network access and HTML structure dependency matter.

4. Data acquisition subsystem

- The app performs web scraping against the NPCI page rather than consuming an official API.

- That means the ingestion layer is tightly coupled to the page’s HTML layout and whatever tables/cards NPCI publishes for UPI statistics.

5. Transformation / selection logic

- The fetched statistics are reduced to a narrow dataset:

- only the top 5 UPI apps

- only the last 5 months

- The README explicitly says the latest month is displayed alongside the previous month values, so the pipeline likely normalizes month-by-month ranking data into a chart-friendly structure.

6. Visualization subsystem

- TimeSeriesChart.java suggests the core output is a chart rendering component, not just console output.

- The chart is the presentation boundary: it consumes the scraped/transformed monthly series and renders them for the user.

7. Execution model

- The project is intended to be run directly after resolving Maven dependencies.

- This implies a local desktop/CLI-style Java application rather than a deployed web service.

8. Build and packaging

- pom.xml indicates Maven is used for dependency management and build orchestration.

- The target/classes directory confirms a standard Maven compile output, reinforcing that the project is packaged and executed as a conventional Java app.

9. Likely internal flow

- The operational flow is:

- fetch NPCI statistics page

- extract monthly top-app values

- keep the last five months

- generate a time-series chart for the top 5 apps

- That flow is linear, with no obvious asynchronous processing, persistence, or multi-stage backend pipeline.

10. Architecture boundaries to draw

- One boundary is local app vs. remote NPCI website.

- Another is data extraction vs. chart presentation inside the app.

- There is no visible persistence boundary, no API boundary, and no user-authentication boundary.

11. Practical implication

- The system is small but somewhat brittle in the usual way web scrapers are: changes to NPCI’s page structure could break the data extraction layer even if the charting code remains intact.