Setup

1. Clone the repository and navigate to the root folder in your terminal.

git clone [email protected]:erdem/python-coding-test.git

2. Create a .env file (git ignored) by copying the .env.example file.

3. Install the project dependencies with poetry via call make install command.

make install

4. The project uses pre-commit to enforce code formatting and run linters before every commit. The pre-commit hooks configuration is stored in the .pre-commit-config.yaml file. Install the hooks before making any commit.

pre-commit install

5. Run FastAPI dev server to explore the API

make dev

Usage

curl --request POST \
  --url http://localhost:8000/api/pdf-checker \
  --header 'Content-Type: application/json' \
  --data '{
      "file_name": "retailco.pdf",
      "company_name": "RetailCo"
    }
'

FastAPI PDF Data Checker

This project demonstrates a FastAPI application that compares company data extracted from PDFs against existing records. It's designed to simulate a common business task: verifying information from multiple sources.

What it does

1. Extracts data from PDFs using a mocked external service
2. Compares the extracted data with records stored in a CSV file
3. Returns a summary of all fields, noting any discrepancies

Key components

• FastAPI for the API framework
• A mocked PDF extraction service (src/pdf_service.py)
• CSV file for storing existing company data (data/database.csv)
• Data comparison and reporting logic

Technical aspects

• Integration with an external service (simulated)
• Data processing and comparison
• Error handling and input validation

This project serves as an example of using FastAPI to process data and generate comparison reports. It's structured following good coding practices.