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feat: view options and suggestions response type #139

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feat: view options and suggestions response type #139

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34 changes: 29 additions & 5 deletions src/assistant_improve_toolkit/computation_func.py
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Original file line number Diff line number Diff line change
Expand Up @@ -264,6 +264,28 @@ def extract_intent_completed(payload):
return res


def extract_response_generic(payload):
res = ''
rt = ''
if len(payload) > 0:
for member in payload:
if 'response_type' in member:
rt = member['response_type']
if rt == 'text':
if 'text' in member:
res = res + member['text']
if rt == 'option':
if 'title' in member:
res = res + member['title'] + ' '
if 'options' in member:
res = res + extract_label(member['options'])
if rt == 'suggestion':
if 'title' in member:
res = res + member['title'] + ' '
if 'suggestions' in member:
res = res + extract_label(member['suggestions'])
return res

def format_data(df):
"""This function formats the log data from watson assistant by separating columns and changing datatypes
Parameters
Expand All @@ -282,17 +304,19 @@ def format_data(df):
print('Extracting request and response ...')
df1 = pd.concat([df.drop(['request', 'response'], axis=1).reset_index(drop=True),
df['request'].apply(pd.Series).add_prefix('request_').reset_index(drop=True),
pd.DataFrame(df['response']
.tolist()).add_prefix('response_')], axis=1) # type: pd.DataFrame
pd.DataFrame(df['response'].tolist()).add_prefix('response_')], axis=1) # type: pd.DataFrame

df1['request_input'] = pd.json_normalize(df['request'])['input.text']

# Add context and output fields
print('Extracting context and output ...')
df2 = pd.concat([df1.drop(['response_context', 'response_output'], axis=1),
df1['response_context'].apply(pd.Series).add_prefix('response_context_'),
pd.DataFrame(df1['response_output'].tolist()).add_prefix('response_')],
axis=1) # type: pd.DataFrame

pd.DataFrame(df1['response_output'].tolist()).add_prefix('response_')], axis=1) # type: pd.DataFrame

print('Extract from response generic array ...')
df2['response_text'] = df2['response_generic'].apply(lambda x: extract_response_generic(x))

# Add context_system fields
df3 = pd.concat([df2.drop(['response_context_system'], axis=1),
df2['response_context_system'].apply(pd.Series).add_prefix('response_')],
Expand Down