Safe Route Calculation API

This API calculates the safest route between a start and an end location, using flood risk data from the UP NOAH dataset, which is pre-loaded via a remote database.

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Requirements

1. Python: Ensure Python 3.13 is installed.

   • To verify, run:

     python3.13 --version

   • If not installed, download and install it from the official Python website.

2. Database Credentials: Add a db_env.py file in the main directory containing the database credentials. This file should be formatted as follows:

      DB_CACHE_NAME = ""
      DB_CACHE_USER = ""
      DB_CACHE_PASSWORD = ""
      DB_CACHE_HOST = ""
      DB_CACHE_PORT = ""
      DB_CACHE_TABLE_NAME = ""
      DB_CACHE_URL = ""

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Github Installation

1. Clone the repository or download the source code.

2. Navigate to the project directory.

3. Set up a virtual environment:

   python3.13 -m venv .venv

4. Activate the virtual environment:

   source .venv/bin/activate

5. Install the required dependencies:

   pip install -r requirements.txt

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Docker Installation

1. Install Docker
2. Pull the image from Docker Hub

   docker pull epilefs/buhay-api

3. Run the downloaded image

   docker run -p 8080:8080 epilefs/buhay-api

4. By default, the API will be available at:

   http://0.0.0.0:8080
   

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Running the FastAPI Server

1. Start the development server:

   fastapi dev main.py

2. By default, the API will be available at:

   http://127.0.0.1:8000
   

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Using the directions endpoint

1. Install Postman.

2. Use the /directions endpoint to calculate the safest route.

   • If running with the fastapi server, use http://127.0.0.1:8000/directions
   • If running with Docker, use http://0.0.0.0:8080/directions

   In the request body, the endpoint requires a JSON parameter of the form

   {
      "start" : "<longitude>,<latitude>",
      "end" : "<longitude>,<latitude>" 
   }
   

3. The response will be in the form

   {
      "route" : {
            "duration": float,
            "distanceKm": float
      },
   
      "geojson" : <geojson_data>,
      "message" : str
   }
   

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Running Tests with Pytest

1. Ensure the virtual environment is activated:

   source .venv/bin/activate

2. Run the test suite using pytest:

   pytest

3. View the test results in the terminal. Pytest will display detailed feedback about the tests.

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Notes

• The UP NOAH dataset is pre-loaded and does not require manual setup.
• Modify the host and port in the fastapi command if needed to match your environment.
• Ensure the db_env.py file is correctly configured for database access.
• Route requests with a location outside Quezon City could result to an incorrect route data since flood data is limited to Quezon City only.

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For further assistance, refer to the FastAPI documentation or contact the project maintainer.