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anomaly_detection.py
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anomaly_detection.py
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import pandas as pd
from openai import GPT
# Mock placeholders
AZURE_OPENAI_API_KEY = "mock_openai_api_key"
AZURE_OPENAI_ENDPOINT = "https://api.openai.com/v1/engines/davinci-codex/completions"
def load_data_from_storage():
# Mock implementation for loading data from Azure Blob Storage
df = pd.DataFrame({
"transaction_id": [1, 2, 3],
"amount": [100.0, 200.0, 300.0]
})
return df
def detect_anomalies_with_openai(df):
gpt = GPT(api_key=AZURE_OPENAI_API_KEY, endpoint=AZURE_OPENAI_ENDPOINT)
# Mock anomaly detection using GPT-3.5 (assumed for illustration)
print("Detecting anomalies...")
anomalies = ["Anomaly detected in transaction 2"]
return anomalies
if __name__ == "__main__":
# Load data from Azure Blob Storage
df_transactions = load_data_from_storage()
# Detect anomalies
detected_anomalies = detect_anomalies_with_openai(df_transactions)
for anomaly in detected_anomalies:
print(anomaly)