将参数传递给函数，该参数必须作为参数传递给python中的另一个函数

Question

I am not sure whether it is a hard question or not . I am having a function , lets say

def load(es , fn_set_your_data ,  input_file, **kwargs):
    success, some_ = bulk(es, fn_set_your_data(input_file, **kwargs))


def fn_index_data( index_name , doc_type , input_file , fn_set_your_data , mapping = False , force = False):

    es = Elasticsearch()
    if es.indices.exists(index= index_name):

        return "Index Already exists"

    else:

        if mapping:
            es.indices.create(index=index_name, body=mapping, ignore=400)

            print "Mapping is done"

            load(es  , fn_set_your_data , input_file , index_name = index_name , doc_type_name = doc_type)

Now there is another function which accepts this function as an argument , lets say global_fn . I need to pass local_fn as an argument to global_fn , with the param split_value changing every time in a loop . Eg:

def set_your_data(input_file, index_name , doc_type_name , split_value = 1):

    global global_count
    for skill_ , items_ in input_file.iteritems():

        main_item = items_['main_item'].strip()
        main_item_split = main_item.split() 
        if len(main_item_split) == split_value :

            query = {'item' : main_item}

            yield {
                "_index": index_name,
                "_type": doc_type_name,
                "_id": global_count,
                "_source": query
            }
        else:
            continue


if __name__ == "__main__":

    index_name_list = ['percolate_bigram' , 'percolate_ngram' , 'percolate_bigram']
    doc_type   = 'alert'


    for idx, index_name in enumerate(index_name_list):
        split_value = idx
        fn_index_data(index_name  = index_name , doc_type = doc_type , input_file = input_data , fn_set_your_data = set_your_data , mapping = mapping)

##### How i pass split_value to set_your_data ( local_fn ) and then pass this to fn_index_data ( global_fn ) . Hope this code is giving a good and reasonable context .

Is it doable , with **kwargs or something ? Whatever comments will be useful.

Answer 1

def set_your_data(split_value=1):
    def set_your_data_inner(input_file, index_name , doc_type_name):
        global global_count
        for skill_ , items_ in input_file.iteritems():

            main_item = items_['main_item'].strip()
            main_item_split = main_item.split() 
            if len(main_item_split) == split_value :

                query = {'item' : main_item}

                yield {
                    "_index": index_name,
                    "_type": doc_type_name,
                    "_id": global_count,
                    "_source": query
                }
            else:
                continue
    return set_your_data_inner

if __name__ == "__main__":

    index_name_list = ['percolate_bigram' , 'percolate_ngram' , 'percolate_bigram']
    doc_type   = 'alert'


    for idx, index_name in enumerate(index_name_list):
        fn_index_data(index_name  = index_name , doc_type = doc_type , input_file = input_data , fn_set_your_data = set_your_data(idx) , mapping = mapping)