Copilot commented on code in PR #301:
URL:
https://github.com/apache/incubator-hugegraph-ai/pull/301#discussion_r2447061378
##########
hugegraph-llm/pyproject.toml:
##########
@@ -85,3 +86,4 @@ allow-direct-references = true
[tool.uv.sources]
hugegraph-python-client = { workspace = true }
+pycgraph = { git = "https://github.com/ChunelFeng/CGraph.git";, subdirectory =
"python", rev = "main", marker = "sys_platform == 'linux'" }
Review Comment:
The pycgraph dependency is restricted to Linux only with `marker =
\"sys_platform == 'linux'\"`. This may prevent the code from running on other
platforms (Windows, macOS). Consider documenting this platform limitation or
providing alternatives for cross-platform support.
##########
hugegraph-llm/src/hugegraph_llm/state/ai_state.py:
##########
@@ -0,0 +1,81 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from PyCGraph import GParam, CStatus
+
+from typing import Union, List, Optional, Any
+
+
+class WkFlowInput(GParam):
+ texts: Union[str, List[str]] = None # texts input used by ChunkSplit Node
+ language: str = None # language configuration used by ChunkSplit Node
+ split_type: str = None # split type used by ChunkSplit Node
+ example_prompt: str = None # need by graph information extract
+ schema: str = None # Schema information requeired by SchemaNode
Review Comment:
Corrected spelling of 'requeired' to 'required'.
```suggestion
schema: str = None # Schema information required by SchemaNode
```
##########
hugegraph-llm/src/hugegraph_llm/flows/scheduler.py:
##########
@@ -0,0 +1,90 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import threading
+from typing import Dict, Any
+from PyCGraph import GPipelineManager
+from hugegraph_llm.flows.build_vector_index import BuildVectorIndexFlow
+from hugegraph_llm.flows.common import BaseFlow
+from hugegraph_llm.flows.graph_extract import GraphExtractFlow
+from hugegraph_llm.utils.log import log
+
+
+class Scheduler:
+ pipeline_pool: Dict[str, Any] = None
+ max_pipeline: int
+
+ def __init__(self, max_pipeline: int = 10):
+ self.pipeline_pool = {}
+ # pipeline_pool act as a manager of GPipelineManager which used for
pipeline management
+ self.pipeline_pool["build_vector_index"] = {
+ "manager": GPipelineManager(),
+ "flow": BuildVectorIndexFlow(),
+ }
+ self.pipeline_pool["graph_extract"] = {
+ "manager": GPipelineManager(),
+ "flow": GraphExtractFlow(),
+ }
+ self.max_pipeline = max_pipeline
+
+ # TODO: Implement Agentic Workflow
+ def agentic_flow(self):
+ pass
+
+ def schedule_flow(self, flow: str, *args, **kwargs):
+ if flow not in self.pipeline_pool:
+ raise ValueError(f"Unsupported workflow {flow}")
+ manager = self.pipeline_pool[flow]["manager"]
+ flow: BaseFlow = self.pipeline_pool[flow]["flow"]
+ pipeline = manager.fetch()
+ if pipeline is None:
+ # call coresponding flow_func to create new workflow
Review Comment:
Corrected spelling of 'coresponding' to 'corresponding'.
```suggestion
# call corresponding flow_func to create new workflow
```
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