Octopus-api is a python library for performing client-based optimized connections requests and limit rates set by the endpoint contract.
Octopus-api is simple; it combines the asyncio and aiohttp library's functionality and makes sure the requests follows the constraints set by the contract.
pip install octopus-api
https://pypi.org/project/octopus-api/
To start Octopus, you first initiate the client, setting your constraints.
client = OctopusApi(rate=30, resolution="minute", retries=10)
client = OctopusApi(rate=5, resolution="sec", retries=3)
client = OctopusApi(connections=100, retries=5)After that, you will specify what you want to perform on the endpoint response. This is done within a user-defined function.
async def patch_data(session: TentacleSession, request: Dict):
async with session.patch(url=request["url"], data=requests["data"], params=request["params"]) as response:
body = await response.json()
return body["id"]As Octopus TentacleSession uses aiohttp under the hood, the resulting way to write
POST, GET, PUT and PATCH for aiohttp will be the same for octopus. The only difference is the added functionality of
retries and optional rate limit.
Finally, you finish everything up with the execute call for the octopus client, where you provide the list of requests dicts and the user function.
The execute call will then return a list of the return values defined in user function. As the requests list is a bounded stream we return the result in order.
result: List = client.execute(requests_list=[
{
"url": "http://localhost:3000",
"data": {"id": "a", "first_name": "filip"},
"params": {"id": "a"}
},
{
"url": "http://localhost:3000",
"data": {"id": "b", "first_name": "morris"},
"params": {"id": "b"}
}
] , func=patch_data)Optimize the request based on max connections constraints:
from octopus_api import TentacleSession, OctopusApi
from typing import Dict, List
if __name__ == '__main__':
async def get_text(session: TentacleSession, request: Dict):
async with session.get(url=request["url"], params=request["params"]) as response:
body = await response.text()
return body
client = OctopusApi(connections=100)
result: List = client.execute(requests_list=[{
"url": "http://google.com",
"params": {}}] * 100, func=get_text)
print(result)Optimize the request based on rate limit constraints:
from octopus_api import TentacleSession, OctopusApi
from typing import Dict, List
if __name__ == '__main__':
async def get_ethereum_id(session: TentacleSession, request: Dict):
async with session.get(url=request["url"], params=request["params"]) as response:
body = await response.json()
return body["id"]
client = OctopusApi(rate=30, resolution="minute")
result: List = client.execute(requests_list=[{
"url": "http://api.coingecko.com/api/v3/coins/ethereum?tickers=false&localization=false&market_data=false",
"params": {}}] * 100, func=get_ethereum_id)
print(result)Optimize the request based on rate limit and connections limit:
from octopus_api import TentacleSession, OctopusApi
from typing import Dict, List
if __name__ == '__main__':
async def get_ethereum(session: TentacleSession, request: Dict):
async with session.get(url=request["url"], params=request["params"]) as response:
body = await response.json()
return body
client = OctopusApi(rate=50, resolution="sec", connections=6)
result: List = client.execute(requests_list=[{
"url": "https://api.pro.coinbase.com/products/ETH-EUR/candles?granularity=900&start=2021-12-04T00:00:00Z&end=2021-12-04T00:00:00Z",
"params": {}}] * 1000, func=get_ethereum)
print(result)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent