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import os
# === Paths ===
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
# Data CSV location
DATA_PATH = os.path.join(BASE_DIR, "data", "synthetic_transactions_samples_5000.csv")
# Saved model and vectorizer paths
MODEL_SAVE_DIR = os.path.join(BASE_DIR, "saved_models")
MODEL_PATH = os.path.join(MODEL_SAVE_DIR, "logreg_model.pkl")
TFIDF_PATH = os.path.join(MODEL_SAVE_DIR, "tfidf_vectorizer.pkl")
# Input column (text)
TEXT_COLUMN = "Sanction_Context"
# Output label columns
LABEL_COLUMNS = [ "Red_Flag_Reason",
"Maker_Action",
"Escalation_Level",
"Risk_Category",
"Risk_Drivers",
"Investigation_Outcome"
]
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