Create prompt_engine.py

prompt_engine.py

@@ -0,0 +1,54 @@
+# prompt_engine.py
+
+from textwrap import dedent
+
+class PromptEngine:
+    """
+    Centralized prompt builder for the intelligence system.
+    """
+
+    def __init__(self):
+        self.system_context = dedent("""
+        You are an intelligence interpreter focused on APJ cybercrime signals.
+        You read Mandarin, Cantonese, and English, and convert them into
+        structured threat intelligence with cultural nuance preserved.
+        """)
+
+    def classify_threat(self, text):
+        return dedent(f"""
+        {self.system_context}
+
+        TASK:
+        Classify the following text into one or more categories:
+        - stolen_data
+        - malware_service
+        - laundering_service
+        - access_broker
+        - scam_indicator
+        - unknown
+
+        Also extract:
+        - slang terms
+        - vendor signals
+        - action verbs (buying, selling, promoting)
+        - risk level (1–5)
+
+        TEXT:
+        {text}
+        """)
+
+    def translate_explain(self, text):
+        return dedent(f"""
+        {self.system_context}
+
+        TASK:
+        Translate this Mandarin/Cantonese text into English.  
+        Then explain: the idioms, cultural tone, and implied intent.
+
+        TEXT:
+        {text}
+        """)
+
+# Example usage:
+# engine = PromptEngine()
+# prompt = engine.classify_threat("專收黑料，秒到！")