To request data from the microservice, make an HTTP POST call to the /validate_csv endpoint. The request should specify the path to the CSV file that requires validation.

• URL: http://127.0.0.1:5000/validate_csv
• Method: POST
• Content-Type: application/json
• Request Body: A JSON object with the key file_path and the value as the path of the CSV file.

import requests

# Define the URL and the payload
url = 'http://127.0.0.1:5000/validate_csv'
payload = {
    "file_path": "test.csv"
}

# Make the POST request
response = requests.post(url, json=payload)

# Print the response
print(response.json())

1. Install the required Python libraries using pip:

   pip install requests

2. Save your CSV file to the desired location and adjust the file path in the payload.
3. Use the example script above to send a request to the microservice.

• Valid Response: The response will include two keys:
  • valid (boolean): Indicates whether the CSV file passed validation.
  • issues (list): Contains any issues or missing data in the CSV file.

{
    "valid": true,
    "issues": []
}

If there are issues, the response might look like:

{
    "valid": false,
    "issues": [
        "Row 3 has incorrect number of columns.",
        "Missing value in column 'price' at row 5."
    ]
}

1. Use the requests library to send the POST request as described above.
2. The response object will have a .json() method that can be used to parse the response data.
3. Handle the data as required, for example, logging issues or taking corrective actions based on the validation results.

UML DIAGRAM: