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Browse files- auditqa/utils.py +13 -21
auditqa/utils.py
CHANGED
@@ -12,36 +12,28 @@ from uuid import uuid4
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# def save_logs(scheduler, JSON_DATASET_PATH, logs, feedback=None) -> None:
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# """ Every interaction with app saves the log of question and answer,
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# this is to get the usage statistics of app and evaluate model performances.
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# Also saves user feedback (when provided).
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# """
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# if feedback:
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# logs["feedback"] = feedback #optional
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# with scheduler.lock:
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# with JSON_DATASET_PATH.open("a") as f:
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# json.dump(logs, f)
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# f.write("\n")
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# print("logging done")
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def save_logs(scheduler, JSON_DATASET_PATH, logs, feedback=None) -> None:
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try:
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# Create directory if it doesn't exist
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JSON_DATASET_PATH.parent.mkdir(parents=True, exist_ok=True)
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# Your existing code
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if feedback:
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logs["feedback"] = feedback
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with scheduler.lock:
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with JSON_DATASET_PATH.open("a") as f:
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json.dump(logs, f)
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f.write("\n")
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except Exception as e:
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def get_message_template(type, SYSTEM_PROMPT, USER_PROMPT):
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if type == 'NVIDIA':
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def save_logs(scheduler, JSON_DATASET_PATH, logs, feedback=None) -> None:
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""" Every interaction with app saves the log of question and answer,
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this is to get the usage statistics of app and evaluate model performances.
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Also saves user feedback (when provided).
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"""
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try:
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if feedback:
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logs["feedback"] = feedback #optional
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# Ensure the parent directory exists
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JSON_DATASET_PATH.parent.mkdir(parents=True, exist_ok=True)
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with scheduler.lock:
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with JSON_DATASET_PATH.open("a") as f:
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json.dump(logs, f)
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f.write("\n")
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logging.info("Logging completed successfully")
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except Exception as e:
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logging.error(f"Failed to save logs: {str(e)}")
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print(f"Error saving logs: {str(e)}")
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def get_message_template(type, SYSTEM_PROMPT, USER_PROMPT):
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if type == 'NVIDIA':
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