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PYTHON-Im试图在晚间提出多份申请,但时间太长
原标题:PYTHON - I m trying to make multiple api requests in python but it s taking too much time

I m trying to create a script that make api calls to my countrys public contracts api that respond with a json file. The json file has a list of contracts that has different information something, each contract its called compiledRelease and it looks like something like this:

"records": [
    {
      "compiledRelease": {
        "awards": [
          {
            "suppliers": [
              {
                "name": "WINNER S. R. L.",
                "id": "PY-RUC-80010090-5"
              }
              "id": "award id(number)"
            ],
         }
       ]
    }
    {
      "compiledRelease": {
        "awards": [
          {
            "suppliers": [
              {
                "name": "WINNER S. R. L.",
                "id": "PY-RUC-80010090-5"
              }
              "id": "award id(number)"
            ],
         }
            "suppliers": [
              {
                "name": "WINNER S. R. L.",
                "id": "PY-RUC-80010090-5"
              }
              "id": "award id(number)"
            ],
         }
       ]
    }

一项合同可以有几项授标,为了获得每项授标的全部信息,我必须再一次向授标的复印件发出呼吁。 问题在于,我需要太多时间才能在我所汇编的100册Reles和一些授标在数以百计的婴儿中作出这些要求。 试图这样做:

`

for item in records:
  for award in item[compiledRelease][awards]:
    data = api_call_function(award[id])
    do something with the data

这是我拥有的,时间太长,无法确定所有要求,我看一看一看一看一去,看一看一看一象的职能和多面镜,但是他们希望被利用。 在座标有一系列长官但不能肯定如何在你有空位的情况下加以利用的电话中,你必须发出呼吁,继续履行这一职能,让呼吁在背景中得到解决。

如果有人能向我教授如何做,那么感谢。 我希望我解释自己。

问题回答

Use ThreadPoolExecutor class of Python s concurrent.futures module to asynchronously call your api_call_function() within a pool of threads.





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