Fix: point in tag issue. (#6436)

### What problem does this PR solve?

#6414

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

rag/app/tag.py

@@ -27,7 +27,7 @@ def beAdoc(d, q, a, eng, row_num=-1):
     d["content_with_weight"] = q
     d["content_ltks"] = rag_tokenizer.tokenize(q)
     d["content_sm_ltks"] = rag_tokenizer.fine_grained_tokenize(d["content_ltks"])
-    d["tag_kwd"] = [t.strip() for t in a.split(",") if t.strip()]
+    d["tag_kwd"] = [t.strip().replace(".", "_") for t in a.split(",") if t.strip()]
     if row_num >= 0:
         d["top_int"] = [row_num]
     return d

rag/nlp/search.py

@@ -465,7 +465,7 @@ class Dealer:
         cnt = np.sum([c for _, c in aggs])
         tag_fea = sorted([(a, round(0.1*(c + 1) / (cnt + S) / max(1e-6, all_tags.get(a, 0.0001)))) for a, c in aggs],
                          key=lambda x: x[1] * -1)[:topn_tags]
-        doc[TAG_FLD] = {a: c for a, c in tag_fea if c > 0}
+        doc[TAG_FLD] = {a.replace(".", "_"): c for a, c in tag_fea if c > 0}
         return True
 
     def tag_query(self, question: str, tenant_ids: str | list[str], kb_ids: list[str], all_tags, topn_tags=3, S=1000):
@@ -481,4 +481,4 @@ class Dealer:
         cnt = np.sum([c for _, c in aggs])
         tag_fea = sorted([(a, round(0.1*(c + 1) / (cnt + S) / max(1e-6, all_tags.get(a, 0.0001)))) for a, c in aggs],
                          key=lambda x: x[1] * -1)[:topn_tags]
-        return {a: max(1, c) for a, c in tag_fea}
+        return {a.replace(".", "_"): max(1, c) for a, c in tag_fea}