Exemplo n.º 1
0
def StaticTimeToReviewSCR (startdate, enddate, identities_db = None, type_analysis = [], bots = []):
    data = ExecuteQuery(GetTimeToReviewQuerySCR (startdate, enddate, identities_db, type_analysis, bots))
    data = data['revtime']
    if (isinstance(data, list) == False): data = [data]
    # ttr_median = sorted(data)[len(data)//2]
    if (len(data) == 0):
        ttr_median = float("nan")
        ttr_avg = float("nan")
    else:
        ttr_median = median(removeDecimals(data))
        ttr_avg = average(removeDecimals(data))
    return {"review_time_days_median":ttr_median, "review_time_days_avg":ttr_avg}
Exemplo n.º 2
0
def EvolTimeToReviewSCR (period, startdate, enddate, identities_db = None, type_analysis = []):
    q = GetTimeToReviewQuerySCR (startdate, enddate, identities_db, type_analysis)
    review_list = ExecuteQuery(q)
    checkListArray(review_list)

    metrics_list = {"month":[],"review_time_days_median":[],"review_time_days_avg":[]}
    # metrics_list = {"month":[],"review_time_days_median":[]}
    review_list_len = len(review_list['changed_on'])
    if len(review_list['changed_on']) == 0: return metrics_list
    start = review_list['changed_on'][0]
    end = review_list['changed_on'][review_list_len-1]
    start_month = start.year*12 + start.month
    end_month = end.year*12 + end.month
    month = start_month

    metrics_data = []
    for i in range (0,review_list_len):
        date = review_list['changed_on'][i]
        if (date.year*12 + date.month) > month:
            metrics_list['month'].append(month)
            if review_list_len == 1: 
                metrics_data.append (review_list['revtime'][i])
            if len(metrics_data) == 0: 
                ttr_median = float('nan')
                ttr_avg = float('nan')
            else: 
                ttr_median = median(removeDecimals(metrics_data))
                ttr_avg = average(removeDecimals(metrics_data))
            # avg = sum(median) / float(len(median))
            # metrics_list['review_time_avg'].append(avg)
            metrics_list['review_time_days_median'].append(ttr_median)
            metrics_list['review_time_days_avg'].append(ttr_avg)
            metrics_data = [review_list['revtime'][i]]
            month = date.year*12 + date.month
        if  i == review_list_len-1:
            month = date.year*12 + date.month

            # Close last month also
            if (date.year*12 + date.month) > month:
                metrics_data = [review_list['revtime'][i]]
            elif (date.year*12 + date.month) == month:
                metrics_data.append (review_list['revtime'][i])
            metrics_list['month'].append(month)
            ttr_median = median(removeDecimals(metrics_data))
            ttr_avg = average(removeDecimals(metrics_data))
            metrics_list['review_time_days_median'].append(ttr_median)
            metrics_list['review_time_days_avg'].append(ttr_avg)
        else: metrics_data.append (review_list['revtime'][i])
    return metrics_list