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import json
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from copy import deepcopy
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def remove_blank_value_for_conv(conversations):
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new_conversations = deepcopy(conversations)
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for conv in conversations:
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if len(conv['value']) == 0:
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new_conversations.remove(conv)
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return new_conversations
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def remove_blank_value(data):
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for item in data:
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item['conversations'] = remove_blank_value_for_conv(item['conversations'])
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return data
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def remove_conv_with_one_person(data):
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new_data = deepcopy(data)
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for item in data:
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if len(set([conv['from'] for conv in item['conversations']])) <= 1:
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new_data.remove(item)
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return new_data
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def compute_similarity(conv1, conv2):
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conv1_list = [item['from'] + item['value'] for item in conv1]
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conv2_list = [item['from'] + item['value'] for item in conv2]
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if len(conv1_list) < len(conv2_list):
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count = 0
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for conv in conv1_list:
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if conv in conv2_list:
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count += 1
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return count / len(conv1_list)
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else:
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count = 0
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for conv in conv2_list:
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if conv in conv1_list:
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count += 1
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return count / len(conv2_list)
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def remove_repeated_value(data):
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visited_item = []
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new_data = deepcopy(data)
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for item1 in data:
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need_remove = []
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item1_deleted = False
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for item2 in visited_item:
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sim = compute_similarity(item1['conversations'], item2['conversations'])
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if sim > 0.8:
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if len(item1['conversations']) < len(item2['conversations']):
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new_data.remove(item1)
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item1_deleted = True
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break
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else:
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new_data.remove(item2)
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need_remove.append(item2)
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for item in need_remove:
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visited_item.remove(item)
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if not item1_deleted:
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visited_item.append(item1)
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return new_data
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def remove_diags_without_target_role_and_input_role(data):
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new_data = deepcopy(data)
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for item in data:
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roles = [c['from'] for c in item['conversations']]
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if item['input_role'] not in roles or item['target_role'] not in roles:
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new_data.remove(item)
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continue
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last_response_is_input_role = False
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for i in range(len(item['conversations'])-1, -1, -1):
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if item['conversations'][i]['from'] == item['target_role']:
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continue
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else:
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if item['conversations'][i]['from'] == item['input_role']:
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last_response_is_input_role = True
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break
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if not last_response_is_input_role:
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new_data.remove(item)
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print(item)
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return new_data
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def clean_diag(diags):
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diags = remove_repeated_value(diags)
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diags = remove_blank_value(diags)
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diags = remove_conv_with_one_person(diags)
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return diags
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def clean_diag_with_repeated(diags):
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diags = remove_blank_value(diags)
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diags = remove_conv_with_one_person(diags)
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return diags |
