Update prompt_engine.py

prompt_engine.py

@@ -1,54 +1,9 @@
-# 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！")
+    def translate_explain(self, text: str) -> str:
+        return f"""
+Translate the following Chinese (Mandarin or Cantonese) text and explain
+any cultural or underground marketplace slang.
+
+TEXT:
+{text}
+"""