[codex] Add on-prem graph memory backend

backend/app/config.py

@@ -31,6 +31,15 @@ class Config:
     LLM_API_KEY = os.environ.get('LLM_API_KEY')
     LLM_BASE_URL = os.environ.get('LLM_BASE_URL', 'https://api.openai.com/v1')
     LLM_MODEL_NAME = os.environ.get('LLM_MODEL_NAME', 'gpt-4o-mini')
+
+    # Graph memory backend configuration
+    GRAPH_MEMORY_BACKEND = os.environ.get('GRAPH_MEMORY_BACKEND', 'zep_cloud')
+    GRAPHITI_MODEL_NAME = os.environ.get('GRAPHITI_MODEL_NAME', LLM_MODEL_NAME)
+    GRAPHITI_EMBEDDING_MODEL_NAME = os.environ.get('GRAPHITI_EMBEDDING_MODEL_NAME', 'text-embedding-3-small')
+    GRAPHITI_BRIDGE_URL = os.environ.get('GRAPHITI_BRIDGE_URL', 'http://graphiti-bridge:8008')
+    FALKORDB_HOST = os.environ.get('FALKORDB_HOST', 'localhost')
+    FALKORDB_PORT = int(os.environ.get('FALKORDB_PORT', '6379'))
+    FALKORDB_DATABASE = os.environ.get('FALKORDB_DATABASE', 'mirofish')
 
     # Zep配置
     ZEP_API_KEY = os.environ.get('ZEP_API_KEY')
@@ -69,7 +78,8 @@ def validate(cls) -> list[str]:
         errors: list[str] = []
         if not cls.LLM_API_KEY:
             errors.append("LLM_API_KEY 未配置")
-        if not cls.ZEP_API_KEY:
+        graph_backend = (cls.GRAPH_MEMORY_BACKEND or 'zep_cloud').lower()
+        if graph_backend in {'zep', 'zep_cloud', 'zep-cloud'} and not cls.ZEP_API_KEY:
             errors.append("ZEP_API_KEY 未配置")
         return errors
 

backend/app/graph_memory/__init__.py

@@ -0,0 +1,13 @@
+"""Graph memory backend adapters."""
+
+from .base import GraphMemoryAdapter
+from .factory import create_graph_memory_adapter
+from .graphiti_bridge_adapter import GraphitiBridgeGraphMemoryAdapter
+from .zep_cloud_adapter import ZepCloudGraphMemoryAdapter
+
+__all__ = [
+    "GraphMemoryAdapter",
+    "GraphitiBridgeGraphMemoryAdapter",
+    "ZepCloudGraphMemoryAdapter",
+    "create_graph_memory_adapter",
+]

backend/app/graph_memory/base.py

@@ -0,0 +1,66 @@
+"""Graph memory adapter contracts.
+
+This module defines the narrow graph-memory surface Mirofish needs. Concrete
+backends can implement it without leaking vendor SDK details into services.
+"""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import Any, Protocol
+
+
+class GraphMemoryAdapter(ABC):
+    """Backend-neutral graph memory interface used by Mirofish services."""
+
+    @abstractmethod
+    def create_graph(self, graph_id: str, name: str, description: str) -> Any:
+        """Create a graph and return the backend response."""
+
+    @abstractmethod
+    def set_ontology(self, graph_id: str, ontology: dict[str, Any]) -> Any:
+        """Apply ontology definitions for a graph."""
+
+    @abstractmethod
+    def add_text_batch(self, graph_id: str, chunks: list[str]) -> Any:
+        """Add a batch of text episodes to a graph."""
+
+    @abstractmethod
+    def add_text(self, graph_id: str, text: str) -> Any:
+        """Add a single text episode to a graph."""
+
+    @abstractmethod
+    def get_episode(self, episode_uuid: str) -> Any:
+        """Return one episode by UUID."""
+
+    @abstractmethod
+    def get_all_nodes(self, graph_id: str) -> list[Any]:
+        """Return all nodes for a graph."""
+
+    @abstractmethod
+    def get_all_edges(self, graph_id: str) -> list[Any]:
+        """Return all edges for a graph."""
+
+    @abstractmethod
+    def search(self, graph_id: str, query: str, limit: int = 10, scope: str = "edges", **kwargs: Any) -> Any:
+        """Search graph memory."""
+
+    @abstractmethod
+    def get_node(self, node_uuid: str) -> Any:
+        """Return one node by UUID."""
+
+    @abstractmethod
+    def get_node_edges(self, node_uuid: str) -> list[Any]:
+        """Return edges related to one node."""
+
+    @abstractmethod
+    def delete_graph(self, graph_id: str) -> Any:
+        """Delete a graph."""
+
+
+class SupportsRawClient(Protocol):
+    """Compatibility escape hatch for legacy code not yet adapter-native."""
+
+    @property
+    def raw_client(self) -> Any:
+        """Return the underlying SDK client."""

backend/app/graph_memory/factory.py

@@ -0,0 +1,23 @@
+"""Graph memory adapter factory."""
+
+from __future__ import annotations
+
+from typing import Optional
+
+from ..config import Config
+from .base import GraphMemoryAdapter
+from .zep_cloud_adapter import ZepCloudGraphMemoryAdapter
+
+
+def create_graph_memory_adapter(api_key: Optional[str] = None, backend: Optional[str] = None) -> GraphMemoryAdapter:
+    selected_backend = (backend or Config.GRAPH_MEMORY_BACKEND).strip().lower()
+
+    if selected_backend in {"zep", "zep_cloud", "zep-cloud"}:
+        return ZepCloudGraphMemoryAdapter(api_key=api_key or Config.ZEP_API_KEY)
+
+    if selected_backend in {"graphiti", "graphiti_core", "graphiti-core", "graphiti_bridge", "graphiti-bridge"}:
+        from .graphiti_bridge_adapter import GraphitiBridgeGraphMemoryAdapter
+
+        return GraphitiBridgeGraphMemoryAdapter(api_key=api_key or Config.LLM_API_KEY)
+
+    raise ValueError(f"Unsupported GRAPH_MEMORY_BACKEND: {selected_backend}")

backend/app/graph_memory/graphiti_bridge_adapter.py

@@ -0,0 +1,128 @@
+"""HTTP adapter for the on-premise Graphiti bridge service."""
+
+from __future__ import annotations
+
+import json
+from types import SimpleNamespace
+from typing import Any
+from urllib.error import HTTPError
+from urllib.parse import quote, urlencode
+from urllib.request import Request, urlopen
+
+from .base import GraphMemoryAdapter
+from ..config import Config
+
+
+class GraphitiBridgeGraphMemoryAdapter(GraphMemoryAdapter):
+    """Graph memory adapter backed by the local Graphiti bridge service."""
+
+    def __init__(self, api_key: str | None = None, base_url: str | None = None):
+        self.base_url = (base_url or Config.GRAPHITI_BRIDGE_URL).rstrip("/")
+        self._node_graph_index: dict[str, str] = {}
+
+    @property
+    def raw_client(self) -> None:
+        return None
+
+    def create_graph(self, graph_id: str, name: str, description: str) -> Any:
+        return self._to_namespace(self._request("POST", "/graphs", {"graph_id": graph_id, "name": name, "description": description}))
+
+    def set_ontology(self, graph_id: str, ontology: dict[str, Any]) -> Any:
+        return self._request("POST", f"/graphs/{quote(graph_id)}/ontology", ontology)
+
+    def add_text_batch(self, graph_id: str, chunks: list[str]) -> list[Any]:
+        data = self._request("POST", f"/graphs/{quote(graph_id)}/episodes", {"chunks": chunks})
+        return [self._episode(item) for item in data.get("episodes", [])]
+
+    def add_text(self, graph_id: str, text: str) -> Any:
+        data = self._request("POST", f"/graphs/{quote(graph_id)}/episodes", {"text": text})
+        episodes = data.get("episodes", [])
+        return self._episode(episodes[0]) if episodes else self._episode({"uuid": None, "processed": True})
+
+    def get_episode(self, episode_uuid: str) -> Any:
+        return self._episode({"uuid": episode_uuid, "processed": True})
+
+    def get_all_nodes(self, graph_id: str) -> list[Any]:
+        data = self._request("GET", f"/graphs/{quote(graph_id)}/nodes")
+        nodes = [self._node(item) for item in data.get("nodes", [])]
+        for node in nodes:
+            self._node_graph_index[node.uuid_] = graph_id
+        return nodes
+
+    def get_all_edges(self, graph_id: str) -> list[Any]:
+        data = self._request("GET", f"/graphs/{quote(graph_id)}/edges")
+        return [self._edge(item) for item in data.get("edges", [])]
+
+    def search(self, graph_id: str, query: str, limit: int = 10, scope: str = "edges", **kwargs: Any) -> Any:
+        data = self._request("POST", f"/graphs/{quote(graph_id)}/search", {"query": query, "limit": limit, "scope": scope})
+        nodes = [self._node(item) for item in data.get("nodes", [])]
+        for node in nodes:
+            self._node_graph_index[node.uuid_] = graph_id
+        return SimpleNamespace(edges=[self._edge(item) for item in data.get("edges", [])], nodes=nodes)
+
+    def get_node(self, node_uuid: str) -> Any:
+        graph_id = self._node_graph_index.get(node_uuid)
+        if not graph_id:
+            return None
+        query = urlencode({"graph_id": graph_id})
+        data = self._request("GET", f"/nodes/{quote(node_uuid)}?{query}")
+        node = data.get("node")
+        return self._node(node) if node else None
+
+    def get_node_edges(self, node_uuid: str) -> list[Any]:
+        graph_id = self._node_graph_index.get(node_uuid)
+        if not graph_id:
+            return []
+        query = urlencode({"graph_id": graph_id})
+        data = self._request("GET", f"/nodes/{quote(node_uuid)}/edges?{query}")
+        return [self._edge(item) for item in data.get("edges", [])]
+
+    def delete_graph(self, graph_id: str) -> Any:
+        return self._request("DELETE", f"/graphs/{quote(graph_id)}")
+
+    def _request(self, method: str, path: str, payload: dict[str, Any] | None = None) -> dict[str, Any]:
+        body = None if payload is None else json.dumps(payload).encode("utf-8")
+        headers = {"Content-Type": "application/json"}
+        req = Request(f"{self.base_url}{path}", data=body, headers=headers, method=method)
+        try:
+            with urlopen(req, timeout=120) as response:
+                raw = response.read().decode("utf-8")
+                return json.loads(raw) if raw else {}
+        except HTTPError as exc:
+            error_body = exc.read().decode("utf-8", errors="replace")
+            raise RuntimeError(f"Graphiti bridge request failed: {exc.code} {error_body}") from exc
+
+    def _episode(self, data: dict[str, Any]) -> Any:
+        uuid = data.get("uuid") or data.get("uuid_")
+        return SimpleNamespace(uuid_=uuid, uuid=uuid, processed=data.get("processed", True))
+
+    def _node(self, data: dict[str, Any]) -> Any:
+        uuid = data.get("uuid") or data.get("uuid_") or ""
+        return SimpleNamespace(
+            uuid_=uuid,
+            uuid=uuid,
+            name=data.get("name") or "",
+            labels=data.get("labels") or [],
+            summary=data.get("summary") or "",
+            attributes=data.get("attributes") or {},
+            created_at=data.get("created_at"),
+        )
+
+    def _edge(self, data: dict[str, Any]) -> Any:
+        uuid = data.get("uuid") or data.get("uuid_") or ""
+        return SimpleNamespace(
+            uuid_=uuid,
+            uuid=uuid,
+            name=data.get("name") or "",
+            fact=data.get("fact") or "",
+            source_node_uuid=data.get("source_node_uuid") or "",
+            target_node_uuid=data.get("target_node_uuid") or "",
+            attributes=data.get("attributes") or {},
+            created_at=data.get("created_at"),
+            valid_at=data.get("valid_at"),
+            invalid_at=data.get("invalid_at"),
+            expired_at=data.get("expired_at"),
+        )
+
+    def _to_namespace(self, data: dict[str, Any]) -> Any:
+        return SimpleNamespace(**data)

backend/app/graph_memory/zep_cloud_adapter.py

@@ -0,0 +1,121 @@
+"""Zep Cloud graph memory adapter."""
+
+from __future__ import annotations
+
+import warnings
+from typing import Any, Optional
+
+from pydantic import Field
+from zep_cloud import EpisodeData, EntityEdgeSourceTarget
+from zep_cloud.client import Zep
+from zep_cloud.external_clients.ontology import EntityModel, EntityText, EdgeModel
+
+from .base import GraphMemoryAdapter
+from ..utils.zep_paging import fetch_all_edges, fetch_all_nodes
+
+
+class ZepCloudGraphMemoryAdapter(GraphMemoryAdapter):
+    """Adapter preserving the existing Zep Cloud behavior."""
+
+    RESERVED_NAMES = {"uuid", "name", "group_id", "name_embedding", "summary", "created_at"}
+
+    def __init__(self, api_key: str):
+        if not api_key:
+            raise ValueError("ZEP_API_KEY 未配置")
+        self._client = Zep(api_key=api_key)
+
+    @property
+    def raw_client(self) -> Zep:
+        return self._client
+
+    def create_graph(self, graph_id: str, name: str, description: str) -> Any:
+        return self._client.graph.create(graph_id=graph_id, name=name, description=description)
+
+    def set_ontology(self, graph_id: str, ontology: dict[str, Any]) -> Any:
+        warnings.filterwarnings("ignore", category=UserWarning, module="pydantic")
+
+        entity_types: dict[str, type[EntityModel]] = {}
+        for entity_def in ontology.get("entity_types", []):
+            name = entity_def["name"]
+            description = entity_def.get("description", f"A {name} entity.")
+            attrs: dict[str, Any] = {"__doc__": description}
+            annotations: dict[str, Any] = {}
+
+            for attr_def in entity_def.get("attributes", []):
+                attr_name = self._safe_attr_name(attr_def["name"])
+                attr_desc = attr_def.get("description", attr_name)
+                attrs[attr_name] = Field(description=attr_desc, default=None)
+                annotations[attr_name] = Optional[EntityText]
+
+            attrs["__annotations__"] = annotations
+            entity_class = type(name, (EntityModel,), attrs)
+            entity_class.__doc__ = description
+            entity_types[name] = entity_class
+
+        edge_definitions: dict[str, tuple[type[EdgeModel], list[EntityEdgeSourceTarget]]] = {}
+        for edge_def in ontology.get("edge_types", []):
+            name = edge_def["name"]
+            description = edge_def.get("description", f"A {name} relationship.")
+            attrs = {"__doc__": description}
+            annotations = {}
+
+            for attr_def in edge_def.get("attributes", []):
+                attr_name = self._safe_attr_name(attr_def["name"])
+                attr_desc = attr_def.get("description", attr_name)
+                attrs[attr_name] = Field(description=attr_desc, default=None)
+                annotations[attr_name] = Optional[str]
+
+            attrs["__annotations__"] = annotations
+            class_name = "".join(word.capitalize() for word in name.split("_"))
+            edge_class = type(class_name, (EdgeModel,), attrs)
+            edge_class.__doc__ = description
+
+            source_targets = [
+                EntityEdgeSourceTarget(source=st.get("source", "Entity"), target=st.get("target", "Entity"))
+                for st in edge_def.get("source_targets", [])
+            ]
+            if source_targets:
+                edge_definitions[name] = (edge_class, source_targets)
+
+        if not entity_types and not edge_definitions:
+            return None
+
+        return self._client.graph.set_ontology(
+            graph_ids=[graph_id],
+            entities=entity_types if entity_types else None,
+            edges=edge_definitions if edge_definitions else None,
+        )
+
+    def add_text_batch(self, graph_id: str, chunks: list[str]) -> Any:
+        episodes = [EpisodeData(data=chunk, type="text") for chunk in chunks]
+        return self._client.graph.add_batch(graph_id=graph_id, episodes=episodes)
+
+    def add_text(self, graph_id: str, text: str) -> Any:
+        return self._client.graph.add(graph_id=graph_id, type="text", data=text)
+
+    def get_episode(self, episode_uuid: str) -> Any:
+        return self._client.graph.episode.get(uuid_=episode_uuid)
+
+    def get_all_nodes(self, graph_id: str) -> list[Any]:
+        return fetch_all_nodes(self._client, graph_id)
+
+    def get_all_edges(self, graph_id: str) -> list[Any]:
+        return fetch_all_edges(self._client, graph_id)
+
+    def search(self, graph_id: str, query: str, limit: int = 10, scope: str = "edges", **kwargs: Any) -> Any:
+        return self._client.graph.search(graph_id=graph_id, query=query, limit=limit, scope=scope, **kwargs)
+
+    def get_node(self, node_uuid: str) -> Any:
+        return self._client.graph.node.get(uuid_=node_uuid)
+
+    def get_node_edges(self, node_uuid: str) -> list[Any]:
+        return self._client.graph.node.get_entity_edges(node_uuid=node_uuid)
+
+    def delete_graph(self, graph_id: str) -> Any:
+        return self._client.graph.delete(graph_id=graph_id)
+
+    @classmethod
+    def _safe_attr_name(cls, attr_name: str) -> str:
+        if attr_name.lower() in cls.RESERVED_NAMES:
+            return f"entity_{attr_name}"
+        return attr_name