Scope monitoring TG by department

src/parser_bot/extractors.py

@@ -315,20 +315,21 @@ def analyze(text: str | None) -> dict[str, Any]:
 async def analyze_with_llm(
     text: str | None,
     vertical: str = "real_estate",
+    department_id: str | None = None,
     section_slug: str | None = None,
 ) -> dict[str, Any]:
     """Regex extraction + local LLM lead classification, routed by vertical.
 
-    `section_slug` lets the classifier pick a section-specific system prompt
-    (e.g. Dubai-focused for `real_estate:dubai`) with fallback to the
-    vertical-default prompt. The LLM verdict goes under `lead` for RE and
-    under `hr_lead` for HR. Falls back to regex-only if Ollama is unavailable.
+    `department_id` + `section_slug` let the classifier pick a department and
+    section-specific system prompt with fallback to the department vertical
+    prompt. The LLM verdict goes under `lead` for RE and
+    under `hr_lead` for HR. Falls back to regex-only if the LLM is unavailable.
     """
     base = analyze(text)
     # Lazy import to avoid hard dep on httpx in environments where LLM is off.
     from parser_bot.llm import classify
 
-    verdict = await classify(text, vertical, section_slug)  # type: ignore[arg-type]
+    verdict = await classify(text, vertical, department_id, section_slug)  # type: ignore[arg-type]
     if verdict is not None:
         base["hr_lead" if vertical == "hr" else "lead"] = verdict
     return base