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import csv | |
import datetime | |
import uuid | |
from pathlib import Path | |
def cts_logger(scheduler, log_filename, log_data, response) -> None: | |
with scheduler.lock: | |
logger(log_filename, log_data, response) | |
def logger(log_filename, log_data, response): | |
with open(log_filename, mode='a', newline='') as log_file: | |
log_writer = csv.writer(log_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) | |
# Get the current date and time | |
current_datetime = datetime.datetime.now() | |
date_str = current_datetime.strftime("%Y-%m-%d") | |
time_str = current_datetime.strftime("%H:%M:%S") | |
log_data.append(date_str) | |
log_data.append(time_str) | |
log_data.append(response) | |
# Write the log data to the CSV file | |
log_writer.writerow(log_data) | |
def cts_log_file_create(folder_name): | |
file_path = Path(folder_name + "/") / f"CTS_user_log{uuid.uuid4()}.csv" | |
with open(file_path, mode='a', newline='') as log_file: | |
log_writer = csv.writer(log_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) | |
headers = [ | |
"user_query", | |
"ref_question", | |
"query_score", | |
"code_executed", | |
"ref_question_2", | |
"query_score_2", | |
"ref_question_3", | |
"query_score_3", | |
"similarity_metric", | |
"model_used_for_embeddings", | |
"lower_threshold", | |
"upper_threshold", | |
"date", | |
"time", | |
"response", | |
] | |
# Write headers to the CSV file | |
log_writer.writerow(headers) | |
return file_path | |