Python script for API performance testing

import threading
import time
import uuid
 
import requests
 
 
class RateLimitedUploader:
    def __init__(
        self,
        file_path: str,
        url: str,
        num_threads: int,
    ) -> None:
        self.file_path = file_path
        self.url = url
        self.stop = False
        self.request_count = 0
        self.start_time = None
        self.num_threads = num_threads
 
    def upload_file(self):
        with open(self.file_path, "rb") as f:
            files = {"file": f}
            response = requests.post(
                self.url,
                files=files,
                json={"filename": f"/experiment/file-size/1mb/{str(uuid.uuid4())}"},
                headers={
                    "Authorization": "Bearer paste-your-token-here",
                    "x-org-slug": "sparktx-dev",
                },
            )
            # print(response.status_code)  # print HTTP status code for debugging
            if response.status_code != 200:
                print("Error:", response.content)
 
    def run(self) -> None:
        def rate_limited_upload() -> None:
            self.start_time = time.time()
            while not self.stop:
                self.upload_file()
 
        for _ in range(self.num_threads):
            thread = threading.Thread(target=rate_limited_upload)
            thread.start()
 
 
# example usage
uploader = RateLimitedUploader(
    "/home/artud/Desktop/1mb.txt",
    "https://api.sparktx-dev.tetrascience.com/v1/datalake/upload",
    10,
)
uploader.run()