Added created_at:datetime on the :Session and :Message node

examples/customize/build_graph/pipeline/pipeline_streaming.py

@@ -22,7 +22,8 @@ async def run_with_context(self, context_: RunContext, value: int) -> OutputMode
         for i in range(value):
             await asyncio.sleep(0.5)  # Simulate work
             await context_.notify(
-                message=f"Added {i+1}/{value}", data={"current": i + 1, "total": value}
+                message=f"Added {i + 1}/{value}",
+                data={"current": i + 1, "total": value},
             )
         return OutputModel(result=value + self.number)
 
@@ -38,7 +39,8 @@ async def run_with_context(self, context_: RunContext, value: int) -> OutputMode
         for i in range(3):  # Always do 3 steps
             await asyncio.sleep(0.7)  # Simulate work
             await context_.notify(
-                message=f"Multiplication step {i+1}/3", data={"step": i + 1, "total": 3}
+                message=f"Multiplication step {i + 1}/3",
+                data={"step": i + 1, "total": 3},
             )
         return OutputModel(result=value * self.multiplier)
 

examples/customize/retrievers/hybrid_retrievers/hybrid_cypher_search.py

@@ -40,7 +40,7 @@ def embed_query(self, text: str) -> list[float]:
 )
 
 # Initialize the retriever
-retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author)" "RETURN author.name"
+retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author)RETURN author.name"
 retriever = HybridCypherRetriever(
     driver, INDEX_NAME, FULLTEXT_INDEX_NAME, retrieval_query, embedder
 )

examples/question_answering/graphrag.py

@@ -30,7 +30,7 @@
 
 
 def formatter(record: neo4j.Record) -> RetrieverResultItem:
-    return RetrieverResultItem(content=f'{record.get("title")}: {record.get("plot")}')
+    return RetrieverResultItem(content=f"{record.get('title')}: {record.get('plot')}")
 
 
 driver = neo4j.GraphDatabase.driver(

src/neo4j_graphrag/experimental/components/neo4j_reader.py

@@ -74,7 +74,7 @@ def _get_query(
             return_properties.append(f"{embedding_property}: null")
         query = (
             f"MATCH (c:`{chunk_label}`) "
-            f"RETURN c {{ { ', '.join(return_properties) } }} as chunk "
+            f"RETURN c {{ {', '.join(return_properties)} }} as chunk "
         )
         if index_property:
             query += f"ORDER BY c.{index_property}"

src/neo4j_graphrag/filters.py

@@ -255,8 +255,7 @@ def _handle_field_filter(
 
     if field.startswith(OPERATOR_PREFIX):
         raise FilterValidationError(
-            f"Invalid filter condition. Expected a field but got an operator: "
-            f"{field}"
+            f"Invalid filter condition. Expected a field but got an operator: {field}"
         )
 
     if isinstance(value, dict):
@@ -273,8 +272,7 @@ def _handle_field_filter(
         # Verify that that operator is an operator
         if operator not in SUPPORTED_OPERATORS:
             raise FilterValidationError(
-                f"Invalid operator: {operator}. "
-                f"Expected one of {SUPPORTED_OPERATORS}"
+                f"Invalid operator: {operator}. Expected one of {SUPPORTED_OPERATORS}"
             )
     else:  # if value is not dict, then we assume an equality operator
         operator = OPERATOR_EQ
@@ -344,10 +342,7 @@ def _construct_metadata_filter(
     else:
         raise FilterValidationError(f"Unsupported operator: {key}")
     query = cypher_operator.join(
-        [
-            f"({ _construct_metadata_filter(el, param_store, node_alias)})"
-            for el in value
-        ]
+        [f"({_construct_metadata_filter(el, param_store, node_alias)})" for el in value]
     )
     return query
 

src/neo4j_graphrag/message_history.py

@@ -25,7 +25,9 @@
     Neo4jMessageHistoryModel,
 )
 
-CREATE_SESSION_NODE_QUERY = "MERGE (s:`{node_label}` {{id:$session_id}})"
+CREATE_SESSION_NODE_QUERY = (
+    "MERGE (s:`{node_label}` {{id:$session_id, createdAt: datetime()}})"
+)
 
 DELETE_SESSION_AND_MESSAGES_QUERY = (
     "MATCH (s:`{node_label}`) "
@@ -56,7 +58,7 @@
     "MATCH (s:`{node_label}`) WHERE s.id = $session_id "
     "OPTIONAL MATCH (s)-[lm:LAST_MESSAGE]->(last_message) "
     "CREATE (s)-[:LAST_MESSAGE]->(new:Message) "
-    "SET new += {{role:$role, content:$content}} "
+    "SET new += {{role:$role, content:$content, createdAt: datetime()}} "
     "WITH new, lm, last_message WHERE last_message IS NOT NULL "
     "CREATE (last_message)-[:NEXT]->(new) "
     "DELETE lm"

src/neo4j_graphrag/schema.py

@@ -385,7 +385,7 @@ def _format_property(prop: Dict[str, Any]) -> Optional[str]:
         else:
             return (
                 "Available options: "
-                + f'{[_clean_string_values(el) for el in prop["values"]]}'
+                + f"{[_clean_string_values(el) for el in prop['values']]}"
             )
     elif prop["type"] in [
         "INTEGER",
@@ -395,14 +395,14 @@ def _format_property(prop: Dict[str, Any]) -> Optional[str]:
         "LOCAL_DATE_TIME",
     ]:
         if prop.get("min") and prop.get("max"):
-            return f'Min: {prop["min"]}, Max: {prop["max"]}'
+            return f"Min: {prop['min']}, Max: {prop['max']}"
         else:
             return f'Example: "{prop["values"][0]}"' if prop.get("values") else ""
     elif prop["type"] == "LIST":
         if not prop.get("min_size") or prop["min_size"] > LIST_LIMIT:
             return None
         else:
-            return f'Min Size: {prop["min_size"]}, Max Size: {prop["max_size"]}'
+            return f"Min Size: {prop['min_size']}, Max Size: {prop['max_size']}"
     return ""
 
 
@@ -551,7 +551,7 @@ def _build_str_clauses(
             sanitize=sanitize,
         )[0]["value"]
         return_clauses.append(
-            (f"values: {distinct_values}," f" distinct_count: {len(distinct_values)}")
+            (f"values: {distinct_values}, distinct_count: {len(distinct_values)}")
         )
     else:
         with_clauses.append(
@@ -595,7 +595,7 @@ def _build_list_clauses(prop_name: str) -> Tuple[str, str]:
     )
 
     return_clause = (
-        f"min_size: `{prop_name}_size_min`, " f"max_size: `{prop_name}_size_max`"
+        f"min_size: `{prop_name}_size_min`, max_size: `{prop_name}_size_max`"
     )
     return with_clause, return_clause
 
@@ -630,7 +630,7 @@ def _build_num_date_clauses(
     return_clauses = []
     if not prop_index and not exhaustive:
         with_clauses.append(
-            f"collect(distinct toString(n.`{prop_name}`)) " f"AS `{prop_name}_values`"
+            f"collect(distinct toString(n.`{prop_name}`)) AS `{prop_name}_values`"
         )
         return_clauses.append(f"values: `{prop_name}_values`")
     else:

tests/e2e/retrievers/test_hybrid_e2e.py

@@ -76,9 +76,7 @@ def test_hybrid_retriever_no_neo4j_deprecation_warning(
 def test_hybrid_cypher_retriever_search_text(
     driver: Driver, random_embedder: Embedder
 ) -> None:
-    retrieval_query = (
-        "MATCH (node)-[:AUTHORED_BY]->(author:Author) " "RETURN author.name"
-    )
+    retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author) RETURN author.name"
     retriever = HybridCypherRetriever(
         driver,
         "vector-index-name",
@@ -127,9 +125,7 @@ def test_hybrid_retriever_search_vector(driver: Driver) -> None:
 
 @pytest.mark.usefixtures("setup_neo4j_for_retrieval")
 def test_hybrid_cypher_retriever_search_vector(driver: Driver) -> None:
-    retrieval_query = (
-        "MATCH (node)-[:AUTHORED_BY]->(author:Author) " "RETURN author.name"
-    )
+    retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author) RETURN author.name"
     retriever = HybridCypherRetriever(
         driver,
         "vector-index-name",

tests/e2e/retrievers/test_vector_e2e.py

@@ -45,9 +45,7 @@ def test_vector_retriever_search_text(
 def test_vector_cypher_retriever_search_text(
     driver: Driver, random_embedder: Embedder
 ) -> None:
-    retrieval_query = (
-        "MATCH (node)-[:AUTHORED_BY]->(author:Author) " "RETURN author.name"
-    )
+    retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author) RETURN author.name"
     retriever = VectorCypherRetriever(
         driver, "vector-index-name", retrieval_query, random_embedder
     )
@@ -88,9 +86,7 @@ def test_vector_retriever_search_vector(driver: Driver) -> None:
 
 @pytest.mark.usefixtures("setup_neo4j_for_retrieval")
 def test_vector_cypher_retriever_search_vector(driver: Driver) -> None:
-    retrieval_query = (
-        "MATCH (node)-[:AUTHORED_BY]->(author:Author) " "RETURN author.name"
-    )
+    retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author) RETURN author.name"
     retriever = VectorCypherRetriever(driver, "vector-index-name", retrieval_query)
 
     top_k = 5

tests/unit/test_schema.py

@@ -833,7 +833,7 @@ def test_format_schema(
             True,
             5,
             False,
-            ("MATCH (n:`Journey`)\n" "RETURN {} AS output"),
+            ("MATCH (n:`Journey`)\nRETURN {} AS output"),
         ),
         (
             "Non-exhaustive, duration property",