참고소스 수정본

참고/neo4j-graphrag-python-main/tests/e2e/data/config_files/pipeline_config.json

@@ -0,0 +1,72 @@
+{
+    "version_": "1",
+    "template_": "none",
+    "name": "",
+    "neo4j_config": {
+        "params_": {
+            "uri": {
+                "resolver_": "ENV",
+                "var_": "NEO4J_URI"
+            },
+            "user": {
+                "resolver_": "ENV",
+                "var_": "NEO4J_USER"
+            },
+            "password": {
+                "resolver_": "ENV",
+                "var_": "NEO4J_PASSWORD"
+            }
+        }
+    },
+    "extras": {
+        "database": "neo4j"
+    },
+    "component_config": {
+        "splitter": {
+            "class_": "text_splitters.fixed_size_splitter.FixedSizeSplitter",
+            "params_": {
+                "chunk_size": 100,
+                "chunk_overlap": 10
+            }
+        },
+        "builder": {
+            "class_": "lexical_graph.LexicalGraphBuilder",
+            "params_": {
+                "config": {
+                    "chunk_node_label": "TextPart"
+                }
+            }
+        },
+        "writer": {
+            "name_": "writer",
+            "class_": "kg_writer.Neo4jWriter",
+            "params_": {
+                "driver": {
+                    "resolver_": "CONFIG_KEY",
+                    "key_": "neo4j_config.default"
+                },
+                "neo4j_database": {
+                    "resolver_": "CONFIG_KEY",
+                    "key_": "extras.database"
+                }
+            }
+        }
+    },
+    "connection_config": [
+        {
+            "start": "splitter",
+            "end": "builder",
+            "input_config": {
+                "text_chunks": "splitter"
+            }
+        },
+        {
+            "start": "builder",
+            "end": "writer",
+            "input_config": {
+                "graph": "builder.graph",
+                "lexical_graph_config": "builder.config"
+            }
+        }
+    ]
+}

참고/neo4j-graphrag-python-main/tests/e2e/data/config_files/pipeline_config.yaml

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+version_: "1"
+template_: none
+neo4j_config:
+  params_:
+    uri:
+      resolver_: ENV
+      var_: NEO4J_URI
+    user:
+      resolver_: ENV
+      var_: NEO4J_USER
+    password:
+      resolver_: ENV
+      var_: NEO4J_PASSWORD
+extras:
+  database: neo4j
+component_config:
+  splitter:
+    class_: text_splitters.fixed_size_splitter.FixedSizeSplitter
+    params_:
+      chunk_size: 100
+      chunk_overlap: 10
+  builder:
+    class_: lexical_graph.LexicalGraphBuilder
+    params_:
+      config:
+        chunk_node_label: TextPart
+  writer:
+    class_: kg_writer.Neo4jWriter
+    params_:
+      driver:
+        resolver_: CONFIG_KEY
+        key_: neo4j_config.default
+      neo4j_database:
+        resolver_: CONFIG_KEY
+        key_: extras.database
+connection_config:
+  - start: splitter
+    end: builder
+    input_config:
+      text_chunks: splitter
+  - start: builder
+    end: writer
+    input_config:
+      graph: builder.graph
+      lexical_graph_config: builder.config

참고/neo4j-graphrag-python-main/tests/e2e/data/config_files/simple_kg_pipeline_config.json

@@ -0,0 +1,70 @@
+{
+    "version_": "1",
+    "template_": "SimpleKGPipeline",
+    "extras": {
+        "openai_api_key": {
+            "resolver_": "ENV",
+            "var_": "MY_OPENAI_KEY"
+        }
+    },
+    "neo4j_config": {
+        "params_": {
+            "uri": {
+                "resolver_": "ENV",
+                "var_": "NEO4J_URI"
+            },
+            "user": {
+                "resolver_": "ENV",
+                "var_": "NEO4J_USER"
+            },
+            "password": {
+                "resolver_": "ENV",
+                "var_": "NEO4J_PASSWORD"
+            }
+        }
+    },
+    "llm_config": {
+        "class_": "OpenAILLM",
+        "params_": {
+            "api_key": {
+                "resolver_": "ENV",
+                "var_": "OPENAI_API_KEY"
+            },
+            "model_name": "gpt-5",
+            "model_params": {
+                "temperature": 0,
+                "max_tokens": 2000,
+                "response_format": {"type": "json_object"}
+            }
+        }
+    },
+    "embedder_config": {
+        "class_": "OpenAIEmbeddings",
+        "params_": {
+            "api_key": {
+                "resolver_": "CONFIG_KEY",
+                "key_": "extras.openai_api_key"
+            }
+        }
+    },
+    "from_file": true,
+    "entities": [
+        "Person",
+        "Organization",
+        "Horcrux",
+        "Location"
+    ],
+    "relations": [
+        "SITUATED_AT",
+        "INTERACTS",
+        "OWNS",
+        "LED_BY"
+    ],
+    "potential_schema": [
+        ["Person", "SITUATED_AT", "Location"],
+        ["Person", "INTERACTS", "Person"],
+        ["Person", "OWNS", "Horcrux"],
+        ["Organization", "LED_BY", "Person"]
+    ],
+    "perform_entity_resolution": true
+}

참고/neo4j-graphrag-python-main/tests/e2e/data/config_files/simple_kg_pipeline_config.yaml

@@ -0,0 +1,50 @@
+version_: "1"
+template_: SimpleKGPipeline
+neo4j_config:
+  params_:
+    uri:
+      resolver_: ENV
+      var_: NEO4J_URI
+    user:
+      resolver_: ENV
+      var_: NEO4J_USER
+    password:
+      resolver_: ENV
+      var_: NEO4J_PASSWORD
+llm_config:
+  class_: OpenAILLM
+  params_:
+    api_key:
+      resolver_: ENV
+      var_: OPENAI_API_KEY
+    model_name: gpt-5
+    model_params:
+      temperature: 0
+      max_tokens: 2000
+      response_format:
+        type: json_object
+embedder_config:
+  class_: OpenAIEmbeddings
+  params_:
+    api_key:
+      resolver_: ENV
+      var_: OPENAI_API_KEY
+from_file: true
+entities:
+  - Person
+  - Organization
+  - Location
+  - Horcrux
+relations:
+  - SITUATED_AT
+  - INTERACTS
+  - OWNS
+  - LED_BY
+potential_schema:
+  - ["Person", "SITUATED_AT", "Location"]
+  - ["Person", "INTERACTS", "Person"]
+  - ["Person", "OWNS", "Horcrux"]
+  - ["Organization", "LED_BY", "Person"]
+text_splitter:
+  class_: text_splitters.fixed_size_splitter.FixedSizeSplitter
+perform_entity_resolution: true