fix: add lang param in knet retriever

libs/ktem/ktem/index/file/knet/pipelines.py

@@ -74,6 +74,7 @@ class KnetRetrievalPipeline(BaseFileIndexRetriever):
         """
         print("searching in doc_ids", doc_ids)
         conv_id = kwargs.get("conv_id", "")
+        lang = kwargs.get("lang", None)
 
         if not doc_ids:
             return []
@@ -87,6 +88,7 @@ class KnetRetrievalPipeline(BaseFileIndexRetriever):
             "assert_query_type": self.pipeline_name,
             "retrieval_expansion": self.retrieval_expansion,
             "user_id": self.user_id,
+            "lang": lang,
         }
         print(params)
         params["meta_filters"] = json.dumps(params["meta_filters"])

libs/ktem/ktem/reasoning/simple.py

@@ -523,12 +523,14 @@ class FullQAPipeline(BaseReasoning):
     add_query_context: AddQueryContextPipeline = AddQueryContextPipeline.withx()
     trigger_context: int = 150
     use_rewrite: bool = False
+    lang: str | None = None
 
     def retrieve(
         self,
         message: str,
         history: list,
         conv_id: str | None = None,
+        lang: str | None = None,
     ) -> tuple[list[RetrievedDocument], list[Document]]:
         """Retrieve the documents based on the message"""
         # if len(message) < self.trigger_context:
@@ -551,7 +553,11 @@ class FullQAPipeline(BaseReasoning):
 
         for idx, retriever in enumerate(self.retrievers):
             retriever_node = self._prepare_child(retriever, f"retriever_{idx}")
-            retriever_docs = retriever_node(text=query, conv_id=conv_id)
+            retriever_docs = retriever_node(
+                text=query,
+                conv_id=conv_id,
+                lang=lang,
+            )
 
             retriever_docs_text = []
             retriever_docs_plot = []
@@ -575,6 +581,7 @@ class FullQAPipeline(BaseReasoning):
                 content=Render.collapsible_with_header(doc, open_collapsible=True),
             )
             for doc in docs
+            if doc.metadata.get("type") not in FINAL_ANSWER_CONTENT_TYPES
         ] + [
             Document(
                 channel="plot",
@@ -762,7 +769,12 @@ class FullQAPipeline(BaseReasoning):
 
         print(f"Retrievers {self.retrievers}")
         # should populate the context
-        docs, infos = self.retrieve(message, history, conv_id=conv_id)
+        docs, infos = self.retrieve(
+            message,
+            history,
+            conv_id=conv_id,
+            lang=self.lang,
+        )
         print(f"Got {len(docs)} retrieved documents")
         yield from infos
 
@@ -840,6 +852,9 @@ class FullQAPipeline(BaseReasoning):
             f"{prefix}.n_last_interactions"
         ]
 
+        pipeline.lang = SUPPORTED_LANGUAGE_MAP.get(
+            settings["reasoning.lang"], "English"
+        )
         pipeline.trigger_context = settings[f"{prefix}.trigger_context"]
         pipeline.use_rewrite = states.get("app", {}).get("regen", False)
         if pipeline.rewrite_pipeline: