Python：有没有更好的方法来构建字典？

Question

There are multiple dimensions and metrics that I want to pull from Google Analytics via their API, and this requires dimension:metric(s) pairing. Naturally, I thought dictionary might be a good option for this. To minimize typing, and increase readability, this is what I tried.

dim_dict = {
    0:'',
    1:'ga:searchUsed',
    2:'ga:searchKeyword',
    3:'ga:pageTitle',
    4:'ga:operatingSystem',
    5:'ga:goalPreviousStep3'
    }

metric_dict = {
    1:'ga:sessions',
    2:'ga:sessionDuration',
    3:'bounceRate',
    4:'pageviews',
    5:'ga:searchSessions',
    6:'ga:goalCompletionsAll'
    }

dim_metric_dict = {
    0:[1,2,3,4,5,6],
    1:[1,2,3,4,5,6],
    2:[1,2,3,4,5,6],
    3:[1,2,3,4,5,6],
    4:[1,2,3,4,5,6],
    5:[6]
    }

query_dict = {}
for dim_key in dim_dict.keys():
    met = []
    for metric_key in dim_metric_dict[dim_key]:
        met.append(metric_dict[metric_key])
    query_dict.update({dim_dict[dim_key]:met})

Then, I'm using the following code to make API requests:

def get_ga_kpi(start_date, end_date, dimensions='', sort='ga:pageviews'):
    service = build('analytics', 'v3', http=http)
    metrics = query_dict[dimensions]
    if sort not in metrics:
        sort = metrics[0]
    data_query = service.data().ga().get(**{
        'ids': 'ga:#######',
        'metrics': '%s' % (','.join(metrics)),
        'dimensions': '%s' % (dimensions),
        'start_date':'%s' % (start_date),
        'end_date':'%s' % (end_date),
        'sort': '-%s' % (sort)
        })
    return feed['rows']

The code works as intended, but I'm wondering if there is a better way to approach this problem. Thanks for any input!

Answer 1

I don't know if this is much better, but you could use a dictionary comprehension and enumerate to avoid typing out all of the numbers.

For example, the dim_dict construction could become:

    dim_list = ['','ga:searchUsed','ga:searchKeyword','ga:pageTitle','ga:operatingSystem','ga:goalPreviousStep3']
    dim_dict = {key:value for (key,value) in enumerate(dim_list)}