You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
42 lines
1013 B
42 lines
1013 B
2 years ago
|
#!/usr/bin/env python3
|
||
|
|
|
||
|
|
import os
|
||
|
|
import json
|
||
|
|
import sys
|
||
|
|
import re
|
||
|
|
import pandas as pd
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
def main(params):
|
||
|
|
activation_id = os.environ.get('__OW_ACTIVATION_ID')
|
||
|
|
|
||
|
|
sentences = params["__ow_body"][0]["processed_data"]
|
||
|
|
|
||
|
|
sentiments = params["__ow_body"][1]["sentiments"]
|
||
|
|
|
||
|
|
# Combine sentences and sentiments into a list of dictionaries
|
||
|
|
data = [{"Sentence": sentence, "Sentiment": sentiment} for sentence, sentiment in zip(sentences, sentiments)]
|
||
|
|
|
||
|
|
# Create a DataFrame from the list of dictionaries
|
||
|
|
df = pd.DataFrame(data)
|
||
|
|
|
||
|
|
# Convert DataFrame to a formatted string with cleaned formatting
|
||
|
|
report = df.to_string(index=False)
|
||
|
|
report = re.sub(r'\n +', '\n', report)
|
||
|
|
report = report.strip()
|
||
|
|
|
||
|
|
|
||
|
|
print(json.dumps({ "activation_id": str(activation_id),
|
||
|
|
"report" : report
|
||
|
|
}))
|
||
|
|
|
||
|
|
return({"activation_id": str(activation_id),
|
||
|
|
"report":report
|
||
|
|
})
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
main(params)
|