Update prompt_builder.py

prompt_builder.py

@@ -1,25 +1,78 @@
 """
-Flare – Prompt Builder helpers
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-Karmaşık şablonlar Spark tarafında derinleştirilecek ama
-ilk versiyon için basit string concat yeterli.
+Flare – Prompt Builder  (v2)
+============================
+• build_intent_prompt
+• build_parameter_prompt
+Spark (LLM) çağrılarına gidecek ‘system’ prompt’ları üretir.
 """
 
-from __future__ import annotations
-from typing import List
-from config_provider import IntentConfig, ParameterConfig
+from typing import List, Dict
+from datetime import datetime
 
-def build_detection_prompt(general: str, intent: IntentConfig) -> str:
-    examples = "\n".join(f"- {e}" for e in intent.examples)
-    return f"{general}\nÖrnekler:\n{examples}\nBu mesaj yukarıdaki niyetlerden hangisine ait?"
+# 🕒 zamanlı log
+def log(msg: str) -> None:
+    print(f"[{datetime.now().strftime('%H:%M:%S')}] {msg}", flush=True)
 
-def build_param_extract_prompt(general: str, intent: IntentConfig, missing: List[ParameterConfig]) -> str:
-    names = ", ".join(p.name for p in missing)
-    return f"{general}\nIntent: {intent.name}\nEksik parametreleri çıkar: {names}"
 
-def build_missing_param_prompt(missing: List[str]) -> str:
-    list_ = ", ".join(missing)
-    return f"{list_} değer(ler)ine ihtiyacım var, paylaşır mısın?"
+# ---------------------------------------------------------------------------
+# INTENT DETECTION PROMPT
+# ---------------------------------------------------------------------------
+def build_intent_prompt(general_prompt: str,
+                        conversation: List[Dict[str, str]],
+                        user_input: str) -> str:
+    """
+    Returns system-prompt string for LLM to detect intent.
+    """
+    history = "\n".join(
+        f"{m['role'].upper()}: {m['content']}" for m in conversation[-10:]
+    )
+    prompt = (
+        f"{general_prompt}\n\n"
+        f"Conversation so far:\n{history}\n\n"
+        f"USER: {user_input.strip()}"
+    )
+    log("✅ Intent prompt built")
+    return prompt
+
+
+# ---------------------------------------------------------------------------
+# PARAMETER EXTRACTION PROMPT
+# ---------------------------------------------------------------------------
+_RESULT_SPEC = (
+    "Return exactly ONE line in the format:\n"
+    "#PARAMETERS:{\"extracted\":[{\"name\":\"<param>\",\"value\":\"<val>\"},...],"
+    "\"missing\":[\"<param>\",...]}"
+)
+
+def build_parameter_prompt(intent_cfg: Dict,
+                           missing_params: List[str],
+                           user_input: str,
+                           conversation: List[Dict[str, str]]) -> str:
+    """
+    intent_cfg     : intent section from service_config
+    missing_params : list of param names still required
+    """
+    lines = [
+        "You will extract ONLY the parameters listed below.",
+        "If a parameter cannot be found OR fails validation, keep it in the "
+        "\"missing\" list. Never guess values."
+    ]
+
+    for p in intent_cfg["parameters"]:
+        if p["name"] in missing_params:
+            lines.append(f"* {p['name']}: {p['extraction_prompt']}")
+
+    lines.append(_RESULT_SPEC)
+
+    history = "\n".join(
+        f"{m['role'].upper()}: {m['content']}" for m in conversation[-10:]
+    )
+
+    prompt = (
+        "\n".join(lines) +
+        "\n\nConversation so far:\n" + history +
+        "\n\nUSER: " + user_input.strip()
+    )
+    log("✅ Parameter-prompt built")
+    return prompt
 
-def build_api_humanize_prompt(general: str, response_prompt: str, api_json: str) -> str:
-    return f"{general}\n{response_prompt}\nJSON:\n{api_json}"