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| """https://zetcode.com/python/concurrent-http-requests/""" | |
| import asyncio | |
| import random | |
| import time | |
| import httpx | |
| local_url = "http://127.0.0.1:5000" | |
| remote_url = "https://cetinca-mathtext-nlu.hf.space/run/text2int_preprocessed" | |
| remote_url = "https://tangibleai-mathtext.hf.space/run/" | |
| headers = {"Content-Type": "application/json; charset=utf-8"} | |
| data_list = [ | |
| ["one hundred forty five"], | |
| ["ninety nine"], | |
| ["seventy three"], | |
| ["one thousand seven hundred sixty nine"], | |
| ] | |
| # async call to endpoint | |
| async def call_api(url, _data_list, number): | |
| data = random.choice(_data_list) | |
| json = {"data": data, "fn_index": 1} | |
| async with httpx.AsyncClient() as client: | |
| begin1 = time.time() | |
| begin2 = time.perf_counter() # Used perf_counter for more precise result. | |
| # print(f"Call {number} started on: {start} text: {data}") | |
| response = await client.post(url=url, headers=headers, json=json, timeout=30) | |
| print(response.status_code) | |
| end1 = time.time() | |
| end2 = time.perf_counter() | |
| return f"Call_{number}: start: {begin1} end: {end1} delay: {end1 - begin1} with_time: {end2 - begin2}\n"\ | |
| f"input_text: {data} result: {response.json().get('data')}" | |
| async def main(n): | |
| calls = [] | |
| for num in range(n): | |
| calls.append(call_api(remote_url, data_list, num)) | |
| r = await asyncio.gather(*calls) | |
| print(*r, sep="\n") | |
| asyncio.run(main(1)) | |