Make infinity adapt to condition exist. (#4657)

### What problem does this PR solve?

### Type of change

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

api/apps/kb_app.py

@@ -24,6 +24,7 @@ from api.db.services.document_service import DocumentService
 from api.db.services.file2document_service import File2DocumentService
 from api.db.services.file_service import FileService
 from api.db.services.user_service import TenantService, UserTenantService
+from api.settings import DOC_ENGINE
 from api.utils.api_utils import server_error_response, get_data_error_result, validate_request, not_allowed_parameters
 from api.utils import get_uuid
 from api.db import StatusEnum, FileSource
@@ -96,6 +97,13 @@ def update():
             return get_data_error_result(
                 message="Can't find this knowledgebase!")
 
+        if req.get("parser_id", "") == "tag" and DOC_ENGINE == "infinity":
+            return get_json_result(
+                data=False,
+                message='The chunk method Tag has not been supported by Infinity yet.',
+                code=settings.RetCode.OPERATING_ERROR
+            )
+
         if req["name"].lower() != kb.name.lower() \
                 and len(
             KnowledgebaseService.query(name=req["name"], tenant_id=current_user.id, status=StatusEnum.VALID.value)) > 1:
@@ -112,7 +120,7 @@ def update():
                                          search.index_name(kb.tenant_id), kb.id)
             else:
                 # Elasticsearch requires PAGERANK_FLD be non-zero!
-                settings.docStoreConn.update({"exist": PAGERANK_FLD}, {"remove": PAGERANK_FLD},
+                settings.docStoreConn.update({"exists": PAGERANK_FLD}, {"remove": PAGERANK_FLD},
                                          search.index_name(kb.tenant_id), kb.id)
 
         e, kb = KnowledgebaseService.get_by_id(kb.id)

rag/raptor.py

@@ -71,7 +71,7 @@ class RecursiveAbstractiveProcessing4TreeOrganizedRetrieval:
         start, end = 0, len(chunks)
         if len(chunks) <= 1:
             return
-        chunks = [(s, a) for s, a in chunks if len(a) > 0]
+        chunks = [(s, a) for s, a in chunks if s and len(a) > 0]
 
         def summarize(ck_idx, lock):
             nonlocal chunks
@@ -125,6 +125,8 @@ class RecursiveAbstractiveProcessing4TreeOrganizedRetrieval:
                 threads = []
                 for c in range(n_clusters):
                     ck_idx = [i + start for i in range(len(lbls)) if lbls[i] == c]
+                    if not ck_idx:
+                        continue
                     threads.append(executor.submit(summarize, ck_idx, lock))
                 wait(threads, return_when=ALL_COMPLETED)
                 for th in threads:

rag/utils/es_conn.py

@@ -336,7 +336,7 @@ class ESConnection(DocStoreConnection):
         for k, v in condition.items():
             if not isinstance(k, str) or not v:
                 continue
-            if k == "exist":
+            if k == "exists":
                 bqry.filter.append(Q("exists", field=v))
                 continue
             if isinstance(v, list):

rag/utils/infinity_conn.py

@@ -44,8 +44,23 @@ from rag.utils.doc_store_conn import (
 logger = logging.getLogger('ragflow.infinity_conn')
 
 
-def equivalent_condition_to_str(condition: dict) -> str | None:
+def equivalent_condition_to_str(condition: dict, table_instance=None) -> str | None:
     assert "_id" not in condition
+    clmns = {}
+    if table_instance:
+        for n, ty, de, _ in table_instance.show_columns().rows():
+            clmns[n] = (ty, de)
+
+    def exists(cln):
+        nonlocal clmns
+        assert cln in clmns, f"'{cln}' should be in '{clmns}'."
+        ty, de = clmns[cln]
+        if ty.lower().find("cha"):
+            if not de:
+                de = ""
+            return f" {cln}!='{de}' "
+        return f"{cln}!={de}"
+
     cond = list()
     for k, v in condition.items():
         if not isinstance(k, str) or k in ["kb_id"] or not v:
@@ -61,8 +76,15 @@ def equivalent_condition_to_str(condition: dict) -> str | None:
                 strInCond = ", ".join(inCond)
                 strInCond = f"{k} IN ({strInCond})"
                 cond.append(strInCond)
+        elif k == "must_not":
+            if isinstance(v, dict):
+                for kk, vv in v.items():
+                    if kk == "exists":
+                        cond.append("NOT (%s)" % exists(vv))
         elif isinstance(v, str):
             cond.append(f"{k}='{v}'")
+        elif k == "exists":
+            cond.append(exists(v))
         else:
             cond.append(f"{k}={str(v)}")
     return " AND ".join(cond) if cond else "1=1"
@@ -294,7 +316,11 @@ class InfinityConnection(DocStoreConnection):
         filter_cond = None
         filter_fulltext = ""
         if condition:
-            filter_cond = equivalent_condition_to_str(condition)
+            for indexName in indexNames:
+                table_name = f"{indexName}_{knowledgebaseIds[0]}"
+                filter_cond = equivalent_condition_to_str(condition, db_instance.get_table(table_name))
+                break
+
         for matchExpr in matchExprs:
             if isinstance(matchExpr, MatchTextExpr):
                 if filter_cond and "filter" not in matchExpr.extra_options:
@@ -434,12 +460,21 @@ class InfinityConnection(DocStoreConnection):
             self.createIdx(indexName, knowledgebaseId, vector_size)
             table_instance = db_instance.get_table(table_name)
 
+        # embedding fields can't have a default value....
+        embedding_clmns = []
+        clmns = table_instance.show_columns().rows()
+        for n, ty, _, _ in clmns:
+            r = re.search(r"Embedding\([a-z]+,([0-9]+)\)", ty)
+            if not r:
+                continue
+            embedding_clmns.append((n, int(r.group(1))))
+
         docs = copy.deepcopy(documents)
         for d in docs:
             assert "_id" not in d
             assert "id" in d
             for k, v in d.items():
-                if k in ["important_kwd", "question_kwd", "entities_kwd", "tag_kwd"]:
+                if k in ["important_kwd", "question_kwd", "entities_kwd", "tag_kwd", "source_id"]:
                     assert isinstance(v, list)
                     d[k] = "###".join(v)
                 elif re.search(r"_feas$", k):
@@ -454,6 +489,11 @@ class InfinityConnection(DocStoreConnection):
                 elif k in ["page_num_int", "top_int"]:
                     assert isinstance(v, list)
                     d[k] = "_".join(f"{num:08x}" for num in v)
+
+            for n, vs in embedding_clmns:
+                if n in d:
+                    continue
+                d[n] = [0] * vs
         ids = ["'{}'".format(d["id"]) for d in docs]
         str_ids = ", ".join(ids)
         str_filter = f"id IN ({str_ids})"
@@ -475,11 +515,11 @@ class InfinityConnection(DocStoreConnection):
         db_instance = inf_conn.get_database(self.dbName)
         table_name = f"{indexName}_{knowledgebaseId}"
         table_instance = db_instance.get_table(table_name)
-        if "exist" in condition:
+        #if "exists" in condition:
-            del condition["exist"]
+        #    del condition["exists"]
-        filter = equivalent_condition_to_str(condition)
+        filter = equivalent_condition_to_str(condition, table_instance)
         for k, v in list(newValue.items()):
-            if k in ["important_kwd", "question_kwd", "entities_kwd", "tag_kwd"]:
+            if k in ["important_kwd", "question_kwd", "entities_kwd", "tag_kwd", "source_id"]:
                 assert isinstance(v, list)
                 newValue[k] = "###".join(v)
             elif re.search(r"_feas$", k):
@@ -496,9 +536,11 @@ class InfinityConnection(DocStoreConnection):
             elif k in ["page_num_int", "top_int"]:
                 assert isinstance(v, list)
                 newValue[k] = "_".join(f"{num:08x}" for num in v)
-            elif k == "remove" and v in [PAGERANK_FLD]:
+            elif k == "remove":
                 del newValue[k]
-                newValue[v] = 0
+                if v in [PAGERANK_FLD]:
+                    newValue[v] = 0
+
         logger.debug(f"INFINITY update table {table_name}, filter {filter}, newValue {newValue}.")
         table_instance.update(filter, newValue)
         self.connPool.release_conn(inf_conn)
@@ -508,14 +550,14 @@ class InfinityConnection(DocStoreConnection):
         inf_conn = self.connPool.get_conn()
         db_instance = inf_conn.get_database(self.dbName)
         table_name = f"{indexName}_{knowledgebaseId}"
-        filter = equivalent_condition_to_str(condition)
         try:
             table_instance = db_instance.get_table(table_name)
         except Exception:
             logger.warning(
-                f"Skipped deleting `{filter}` from table {table_name} since the table doesn't exist."
+                f"Skipped deleting from table {table_name} since the table doesn't exist."
             )
             return 0
+        filter = equivalent_condition_to_str(condition, table_instance)
         logger.debug(f"INFINITY delete table {table_name}, filter {filter}.")
         res = table_instance.delete(filter)
         self.connPool.release_conn(inf_conn)
@@ -553,7 +595,7 @@ class InfinityConnection(DocStoreConnection):
                 v = res[fieldnm][i]
                 if isinstance(v, Series):
                     v = list(v)
-                elif fieldnm in ["important_kwd", "question_kwd", "entities_kwd", "tag_kwd"]:
+                elif fieldnm in ["important_kwd", "question_kwd", "entities_kwd", "tag_kwd", "source_id"]:
                     assert isinstance(v, str)
                     v = [kwd for kwd in v.split("###") if kwd]
                 elif fieldnm == "position_int":
@@ -584,6 +626,8 @@ class InfinityConnection(DocStoreConnection):
         ans = {}
         num_rows = len(res)
         column_id = res["id"]
+        if fieldnm not in res:
+            return {}
         for i in range(num_rows):
             id = column_id[i]
             txt = res[fieldnm][i]