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@@ -43,21 +43,22 @@ def get_threshold_record_new(ad_abtest_abcode_config, feature_df, threshold_reco
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gradient = up_threshold_update.get('gradient')
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update_range = up_threshold_update.get('update_range')
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b_i = (b_mean * -1) // gradient + 1
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- threshold_param_new = \
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- float(threshold_record.get(ad_abtest_tag)) + update_range * b_i
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+ threshold_param_new = float(threshold_record.get(ad_abtest_tag)) + update_range * b_i
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elif b_mean > 0.1:
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# 阈值按梯度调低
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- b_i = (b_mean - 0.1) // up_threshold_update.get('gradient') + 1
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- threshold_param_new = \
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- float(threshold_record.get(ad_abtest_tag)) - up_threshold_update.get('update_range') * b_i
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+ gradient = up_threshold_update.get('gradient')
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+ update_range = up_threshold_update.get('update_range')
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+ b_i = (b_mean - 0.1) // gradient + 1
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+ threshold_param_new = float(threshold_record.get(ad_abtest_tag)) - update_range * b_i
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else:
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continue
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if threshold_param_new > 0:
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threshold_record_new[ad_abtest_tag] = threshold_param_new
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- robot_msg_record.append({'appType': app_type, 'ad_abtest_tag': ad_abtest_tag,
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- 'b_i': int(b_i), 'update_param':
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- 'param_old': round(float(threshold_record.get(ad_abtest_tag)), 4),
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- 'param_new': round(threshold_param_new, 4)})
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+ robot_msg_record.append({'appType': app_type, 'abtestTag': ad_abtest_tag,
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+ 'gradient': round(gradient, 4), 'range': round(update_range, 4),
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+ 'i': int(b_i),
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+ 'paramOld': round(float(threshold_record.get(ad_abtest_tag)), 4),
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+ 'paramNew': round(threshold_param_new, 4)})
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return threshold_record_new, robot_msg_record
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