refine dockerfile (#1801)

### What problem does this PR solve?


### Type of change

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

Dockerfile

@@ -10,7 +10,7 @@ ADD ./api ./api
 ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 ENV PYTHONPATH=/ragflow/
 ENV HF_ENDPOINT=https://hf-mirror.com

Dockerfile.arm

@@ -21,7 +21,7 @@ ADD ./api ./api
 ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 ENV PYTHONPATH=/ragflow/
 ENV HF_ENDPOINT=https://hf-mirror.com

Dockerfile.cuda

@@ -15,7 +15,7 @@ ADD ./api ./api
 ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 ENV PYTHONPATH=/ragflow/
 ENV HF_ENDPOINT=https://hf-mirror.com

Dockerfile.scratch

@@ -30,7 +30,7 @@ ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
 ADD ./requirements.txt ./requirements.txt
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 RUN apt install openmpi-bin openmpi-common libopenmpi-dev
 ENV LD_LIBRARY_PATH /usr/lib/x86_64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH

Dockerfile.scratch.oc9

@@ -30,7 +30,7 @@ ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
 ADD ./requirements.txt ./requirements.txt
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 RUN dnf install -y openmpi openmpi-devel python3-openmpi
 ENV C_INCLUDE_PATH /usr/include/openmpi-x86_64:$C_INCLUDE_PATH

graphrag/leiden.py

@@ -25,6 +25,7 @@ from graspologic.partition import hierarchical_leiden
 from graspologic.utils import largest_connected_component
 
 import networkx as nx
+from networkx import is_empty
 
 log = logging.getLogger(__name__)
 
@@ -91,13 +92,14 @@ def _compute_leiden_communities(
         seed=0xDEADBEEF,
 ) -> dict[int, dict[str, int]]:
     """Return Leiden root communities."""
+    results: dict[int, dict[str, int]] = {}
+    if is_empty(graph): return results
     if use_lcc:
         graph = stable_largest_connected_component(graph)
 
     community_mapping = hierarchical_leiden(
         graph, max_cluster_size=max_cluster_size, random_seed=seed
     )
-    results: dict[int, dict[str, int]] = {}
     for partition in community_mapping:
         results[partition.level] = results.get(partition.level, {})
         results[partition.level][partition.node] = partition.cluster