To limit your Python requests to 1.39 requests per second, you can use the time.sleep() function from the time module to introduce a delay between requests. You can also use third-party libraries like pyrate-limiter, requests-ratelimiter, or ratelimiter to achieve rate limiting.
Here’s an example using the time module:
import requests
import time
urls = [...] # List of URLs to send requests to
for url in urls:
response = requests.get(url)
print(response.status_code)
time.sleep(1 / 1.39) # Introduce a delay to achieve 1.39 requests per second
Alternatively, you can use the pyrate-limiter library:
from pyrate_limiter import Duration, RequestRate, Limiter
import requests
rate_limit = RequestRate(1, Duration.SECOND / 1.39) # 1 request per 1.39 seconds
limiter = Limiter(rate_limit)
urls = [...] # List of URLs to send requests to
for url in urls:
with limiter:
response = requests.get(url)
print(response.status_code)
Another option is to use the requests-ratelimiter library:
from requests import Session
from requests_ratelimiter import LimiterAdapter
session = Session()
# Apply a rate limit of 1.39 requests per second to all requests
adapter = LimiterAdapter(per_second=1.39)
session.mount('http://', adapter)
session.mount('https://', adapter)
urls = [...] # List of URLs to send requests to
for url in urls:
response = session.get(url)
print(response.status_code)
These examples demonstrate different ways to limit your Python requests to 1.39 requests per second. Choose the method that best suits your needs and project requirements.
Citations: [1] https://stackoverflow.com/questions/26098711/limiting-number-of-http-requests-per-second-on-python [2] https://pypi.org/project/requests-ratelimiter/ [3] https://github.com/vutran1710/PyrateLimiter [4] https://akshayranganath.github.io/Rate-Limiting-With-Python/ [5] https://stackoverflow.com/questions/40748687/python-api-rate-limiting-how-to-limit-api-calls-globally [6] https://pypi.org/project/limiter/ [7] https://github.com/JWCook/requests-ratelimiter [8] https://levelup.gitconnected.com/implement-rate-limiting-in-python-d4f86b09259f [9] https://limits.readthedocs.io [10] https://github.com/encode/httpx/issues/815 [11] https://365datascience.com/tutorials/python-tutorials/limit-rate-requests-web-scraping/ [12] https://www.seelk.co/blog/efficient-client-side-handling-of-api-throttling-in-python-with-tenacity [13] https://www.cisco.com/c/en/us/support/docs/security/firepower-ngfw/217900-troubleshoot-firepower-threat-defense-an.html [14] https://scrapfly.io/blog/how-to-rate-limit-asynchronous-python-requests/ [15] https://dev.to/paymon123/the-easiest-way-to-rate-limit-a-python-api-3njc [16] https://cloud.google.com/python/docs/reference/storage/1.39.0/retry_timeout [17] https://medium.com/clover-platform-blog/conquering-api-rate-limiting-dcac5552714d [18] https://subscription.packtpub.com/book/web_development/9781838983994/9/ch09lvl1sec72/api-rate-limiting [19] https://towardsdatascience.com/speeding-up-python-code-fast-filtering-and-slow-loops-8e11a09a9c2f [20] https://katiekodes.com/python-wrap-requests-functions/ [21] https://www.reddit.com/r/Python/comments/12xahnb/i_built_a_simple_and_efficient_rate_limiter_for/ [22] https://docs.alcf.anl.gov/theta/performance-tools/craypat/ [23] https://coderpad.io/blog/development/a-guide-to-api-rate-limiting-in-django/
To achieve a rate of 1.39 requests per second, you can use a global variable to keep track of the time elapsed between requests and then calculate the delay based on that time. Here’s a modified version of your fetch_github_data function that implements this:
import time
import requests
import logging
PERSONAL_ACCESS_TOKEN = "your_personal_access_token"
DELAY = 1 / 1.39 # Calculate the delay for 1.39 requests per second
last_request_time = 0 # Initialize a global variable to store the last request time
def fetch_github_data(url):
global last_request_time # Access the global variable
try:
headers = {
"Accept": "application/vnd.github+json",
"Authorization": f"Bearer {PERSONAL_ACCESS_TOKEN}",
"X-GitHub-Api-Version": "2022-11-28",
}
# Calculate the time elapsed since the last request
time_elapsed = time.time() - last_request_time
# Calculate the required delay based on the time elapsed
required_delay = max(0, DELAY - time_elapsed)
# Sleep for the required delay
time.sleep(required_delay)
response = requests.get(url, headers=headers)
# Update the last request time
last_request_time = time.time()
logging.info(f"Fetched data from {url}")
return response.json()
except requests.exceptions.RequestException as e:
logging.exception(f"Error fetching data from {url}\n{e}")
raise
This code calculates the required delay based on the desired rate of 1.39 requests per second and the time elapsed since the last request. It then sleeps for the required delay before making the next request. The global variable last_request_time is used to keep track of the time of the last request.
Citations: [1] https://www.geeksforgeeks.org/how-to-add-time-delay-in-python/ [2] https://stackoverflow.com/questions/66229987/calculate-attempts-per-second [3] https://pypi.org/project/requests-ratelimiter/ [4] https://akshayranganath.github.io/Rate-Limiting-With-Python/ [5] https://stackoverflow.com/questions/32815451/are-global-variables-thread-safe-in-flask-how-do-i-share-data-between-requests [6] https://stackoverflow.com/questions/44014718/python-request-get-after-few-seconds [7] https://realpython.com/python-sleep/ [8] https://algotrading101.com/learn/yahoo-finance-api-guide/ [9] https://stackoverflow.com/questions/26098711/limiting-number-of-http-requests-per-second-on-python [10] https://realpython.com/python-use-global-variable-in-function/ [11] https://scrapeops.io/python-scrapy-playbook/scrapy-delay-between-requests/ [12] https://cloud.google.com/python/docs/reference/storage/1.44.0/client [13] https://github.com/JWCook/requests-ratelimiter [14] https://discuss.python.org/t/global-variables-shared-across-modules/16833 [15] https://coderslegacy.com/python/delay-between-requests-in-scrapy/ [16] https://jrnold.github.io/r4ds-exercise-solutions/transform.html [17] https://levelup.gitconnected.com/implement-rate-limiting-in-python-d4f86b09259f [18] https://docs.python.org/3/faq/programming.html [19] https://www.javatpoint.com/how-to-add-time-delay-in-python [20] https://koji.mbox.centos.org/koji/buildinfo?buildID=22406 [21] https://pypi.org/project/ratelimit/ [22] https://docs.python.org/3/library/timeit.html [23] https://www.purplefrogsystems.com/2020/07/how-to-delay-a-python-loop/ [24] https://medium.com/clover-platform-blog/conquering-api-rate-limiting-dcac5552714d [25] https://learning.postman.com/docs/writing-scripts/pre-request-scripts/ [26] https://python-forum.io/thread-35631.html [27] https://365datascience.com/tutorials/python-tutorials/limit-rate-requests-web-scraping/ [28] https://instructobit.com/tutorial/108/How-to-share-global-variables-between-files-in-Python [29] https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-latency [30] https://dev.to/astagi/rate-limiting-using-python-and-redis-58gk [31] https://www.simplilearn.com/tutorials/python-tutorial/global-variable-in-python
how come there are citations ? is it chatgpt with web search plugin ? or something else ?