[FIXED] python async function proper syntax

Issue

I'm trying to correct my async func to work with this script:

import asyncio
import platform
import aiohttp

if platform.system() == 'Windows':
    asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())

url = 'https://services.rappi.com.br/api/ms/web-proxy/dynamic-list/cpgs/'

req_headers = {'authority': 'services.rappi.com.br', 'accept': 'application/json',
               'authorization': 'Bearer ft.gAAAAABjMbGKkc2fkTMa2M2EKuBrCM1Z1vU5Ww1Fw03CjpJEb9UF1DO1TAjwpAD0H0NIImuMjWFcOkUURseLzJIi0DNSOr-oRWcZWgcnHLm2Ed6rDLvxQ2ikdGLtyVXZRqgGHWOMlBPVSKjYLb6NMZmAeHhAsGNjiQ3vP5VEdb_ULA9S5Lpo8H7-ElhKufmlVqQ6CrDyTUsyQeZ3IzbNCbN8MBLFhgRxVMZSwyl640YXF9ZvQUI1sibP-Ko86xrin_2EXEmAdEk7aSl9u0ezlmnBL6Wk8a7CwSJUEUAwAjrNdJTLSodjQaiVVx7TZ0rQEkzPgceaH7wtpmvl--6txmRDnBu4g0na3Km19K1LNzs0fz7-_Go8Qlg=',
               'deviceid': '957933bd-cdc4-4876-ad00-bc00a1d55c29',
               'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36'}

json_data = {"dynamic_list_request":
    {
        "limit": 100, "offset": 0, "context": "sub_aisles",
        "state": {"lat": "-23.5516221", "lng": "-46.7404627"}
    },
    "dynamic_list_endpoint": "context/content",
    "proxy_input":
        {
            "seo_friendly_url": "900597707-assai-atacadista-super-sao-paulo",
            "aisle_friendly_url": "",
        }
}

json_data2 = {"dynamic_list_request":
    {
        "limit": 100, "offset": 0, "context": "aisle_detail",
        "state": {"lat": "-23.5516221", "lng": "-46.7404627"}
    },
    "dynamic_list_endpoint": "context/content",
    "proxy_input":
        {
            "seo_friendly_url": "900597707-assai-atacadista-super-sao-paulo",
            "aisle_friendly_url": "bebidas",  
            'subaisle_friendly_url': "" 
        }
}
market_list = ['900597707-assai-atacadista-super-sao-paulo', '900520986-makro-atacadista-sao-paulo']
data = [{'sub_category': 'temperos-e-molhos', 'category': 'mercearia'},
        {'sub_category': 'massas', 'category': 'mercearia'}]


async def fetch(url, session):
    list_items = []
    global data
    for cats in data:  # 1) >> how to pass here to ASYNC? <<
        json_data2['proxy_input']['subaisle_friendly_url'] = cats['sub_category']
        json_data2['proxy_input']['aisle_friendly_url'] = cats['category']
        for markets in market_list:  # 2) >> how to pass here to ASYNC? <<
            json_data2['proxy_input']['seo_friendly_url'] = markets
            print((json_data2['proxy_input']['subaisle_friendly_url'], json_data2['proxy_input']['aisle_friendly_url'],
                   json_data2['proxy_input']['seo_friendly_url']))
            async with session.post(url, headers=req_headers, json=json_data2) as response:
                try:
                    json_body = await response.json()
                    json_body = json_body['dynamic_list_response']['data']['components']
                except KeyError:
                    json_body = None
                if json_body is not None:
                    for sections in json_body:
                        for items in sections['resource']['products']:
                            list_items.append(items)
    return list_items


async def main():
    tasks = []
    async with aiohttp.ClientSession() as session:
        tasks.append(
            asyncio.create_task(fetch(url, session))
        )
        body = await asyncio.gather(*tasks)
    return body


print(asyncio.run(main()))

I know the for loops above my session.post aren't working because they aren't async, how can I get those corrected? I already tried a bunch of things, but they didn't work.

async with session.post(url, headers=req_headers, json=json_data2) as response:

Obs: The code is working, you can run and test it if you want.

• The whole code can be changed, if needed, I don't mind...

Solution

In order to achieve asyncio paralelism, the body of the inner for loop should be refactored into another co-routine which can run as an indepedent task. In this way, the asyncio mainloop can orchestrate the various calls in parallel:

The code bellow could become a bit more elegant by feeding the tasks continuosly with the "cats", and letting some tasks go running in parallel using asyncio.wait instead of gather. The "easy" refactoring is just putting all calls for a single category in a task list and gather those:

[untested]

async def fetch_items(session, markets):
    local_items = []
    json_data2['proxy_input']['seo_friendly_url'] = markets
    print((json_data2['proxy_input']['subaisle_friendly_url'], json_data2['proxy_input']['aisle_friendly_url'],
            json_data2['proxy_input']['seo_friendly_url']))
    async with session.post(url, headers=req_headers, json=json_data2) as response:
        try:
            json_body = await response.json()
            json_body = json_body['dynamic_list_response']['data']['components']
        except KeyError:
            return
        for sections in json_body:
            local_items.extend(items for items in sections['resource']['products'])
    return local_items
    

async def fetch(url, session):
    list_items = []
    global data
    for cats in data:  
        json_data2['proxy_input']['subaisle_friendly_url'] = cats['sub_category']
        json_data2['proxy_input']['aisle_friendly_url'] = cats['category']
        pending_tasks = [asyncio.create_task(fetch_items(session, markets)) for markets in market_list]
        for result in await asyncio.gather(*pending_tasks):
            list_items.extend(result)

    return list_items


async def main():
    tasks = []
    async with aiohttp.ClientSession() as session:  # there is no repetition here: no point in using .gather
        body = await fetch(url. session) 
    return body

Answered By - jsbueno