chore(model): new required field for supported models

pilot/model/base.py

@@ -3,7 +3,7 @@
 
 from enum import Enum
 from typing import TypedDict, Optional, Dict, List
-from dataclasses import dataclass
+from dataclasses import dataclass, asdict
 from datetime import datetime
 from pilot.utils.parameter_utils import ParameterDescription
 
@@ -84,3 +84,25 @@ class WorkerSupportedModel:
         ]
         worker_data["models"] = models
         return cls(**worker_data)
+
+
+@dataclass
+class FlatSupportedModel(SupportedModel):
+    """For web"""
+
+    host: str
+    port: int
+
+    @staticmethod
+    def from_supports(
+        supports: List[WorkerSupportedModel],
+    ) -> List["FlatSupportedModel"]:
+        results = []
+        for s in supports:
+            host, port, models = s.host, s.port, s.models
+            for m in models:
+                kwargs = asdict(m)
+                kwargs["host"] = host
+                kwargs["port"] = port
+                results.append(FlatSupportedModel(**kwargs))
+        return results

pilot/model/cluster/__init__.py

@@ -5,6 +5,7 @@ from pilot.model.cluster.base import (
     WorkerParameterRequest,
     WorkerStartupRequest,
 )
+from pilot.model.cluster.manager_base import WorkerManager, WorkerManagerFactory
 from pilot.model.cluster.worker_base import ModelWorker
 from pilot.model.cluster.worker.default_worker import DefaultModelWorker
 
@@ -18,6 +19,7 @@ from pilot.model.cluster.registry import ModelRegistry
 from pilot.model.cluster.controller.controller import (
     ModelRegistryClient,
     run_model_controller,
+    BaseModelController,
 )
 
 from pilot.model.cluster.worker.remote_manager import RemoteWorkerManager
@@ -28,6 +30,7 @@ __all__ = [
     "WorkerApplyRequest",
     "WorkerParameterRequest",
     "WorkerStartupRequest",
+    "WorkerManagerFactory",
     "ModelWorker",
     "DefaultModelWorker",
     "worker_manager",

pilot/model/llm_utils.py

@@ -172,7 +172,9 @@ def _list_supported_models(
             llm_adapter = get_llm_model_adapter(model_name, model_path)
             param_cls = llm_adapter.model_param_class()
             model.enabled = True
-            params = _get_parameter_descriptions(param_cls)
+            params = _get_parameter_descriptions(
+                param_cls, model_name=model_name, model_path=model_path
+            )
             model.params = params
         except Exception:
             pass

pilot/openapi/api_v1/api_v1.py

@@ -3,6 +3,7 @@ import uuid
 import asyncio
 import os
 import shutil
+import logging
 from fastapi import (
     APIRouter,
     Request,
@@ -11,6 +12,7 @@ from fastapi import (
     Form,
     Body,
     BackgroundTasks,
+    Depends,
 )
 
 from fastapi.responses import StreamingResponse
@@ -41,10 +43,13 @@ from pilot.scene.message import OnceConversation
 from pilot.configs.model_config import LLM_MODEL_CONFIG, KNOWLEDGE_UPLOAD_ROOT_PATH
 from pilot.summary.db_summary_client import DBSummaryClient
 
+from pilot.model.cluster import BaseModelController, WorkerManager, WorkerManagerFactory
+from pilot.model.base import FlatSupportedModel
+
 router = APIRouter()
 CFG = Config()
 CHAT_FACTORY = ChatFactory()
-logger = build_logger("api_v1", LOGDIR + "api_v1.log")
+logger = logging.getLogger(__name__)
 knowledge_service = KnowledgeService()
 
 model_semaphore = None
@@ -90,6 +95,20 @@ def knowledge_list():
     return params
 
 
+def get_model_controller() -> BaseModelController:
+    controller = CFG.SYSTEM_APP.get_componet(
+        ComponetType.MODEL_CONTROLLER, BaseModelController
+    )
+    return controller
+
+
+def get_worker_manager() -> WorkerManager:
+    worker_manager = CFG.SYSTEM_APP.get_componet(
+        ComponetType.WORKER_MANAGER_FACTORY, WorkerManagerFactory
+    ).create()
+    return worker_manager
+
+
 @router.get("/v1/chat/db/list", response_model=Result[DBConfig])
 async def db_connect_list():
     return Result.succ(CFG.LOCAL_DB_MANAGE.get_db_list())
@@ -351,15 +370,10 @@ async def chat_completions(dialogue: ConversationVo = Body()):
 
 
 @router.get("/v1/model/types")
-async def model_types(request: Request):
+async def model_types(controller: BaseModelController = Depends(get_model_controller)):
-    print(f"/controller/model/types")
+    logger.info(f"/controller/model/types")
     try:
         types = set()
-        from pilot.model.cluster.controller.controller import BaseModelController
-
-        controller = CFG.SYSTEM_APP.get_componet(
-            ComponetType.MODEL_CONTROLLER, BaseModelController
-        )
         models = await controller.get_all_instances(healthy_only=True)
         for model in models:
             worker_name, worker_type = model.model_name.split("@")
@@ -371,6 +385,16 @@ async def model_types(request: Request):
         return Result.faild(code="E000X", msg=f"controller model types error {e}")
 
 
+@router.get("/v1/model/supports")
+async def model_types(worker_manager: WorkerManager = Depends(get_worker_manager)):
+    logger.info(f"/controller/model/supports")
+    try:
+        models = await worker_manager.supported_models()
+        return Result.succ(FlatSupportedModel.from_supports(models))
+    except Exception as e:
+        return Result.faild(code="E000X", msg=f"Fetch supportd models error {e}")
+
+
 async def no_stream_generator(chat):
     msg = await chat.nostream_call()
     msg = msg.replace("\n", "\\n")

pilot/scene/base_chat.py

@@ -6,6 +6,7 @@ from typing import Any, List, Dict
 
 from pilot.configs.config import Config
 from pilot.configs.model_config import LOGDIR
+from pilot.componet import ComponetType
 from pilot.memory.chat_history.base import BaseChatHistoryMemory
 from pilot.memory.chat_history.duckdb_history import DuckdbHistoryMemory
 from pilot.memory.chat_history.file_history import FileHistoryMemory
@@ -142,8 +143,11 @@ class BaseChat(ABC):
         logger.info(f"Requert: \n{payload}")
         ai_response_text = ""
         try:
-            from pilot.model.cluster import worker_manager
+            from pilot.model.cluster import WorkerManagerFactory
 
+            worker_manager = CFG.SYSTEM_APP.get_componet(
+                ComponetType.WORKER_MANAGER_FACTORY, WorkerManagerFactory
+            ).create()
             async for output in worker_manager.generate_stream(payload):
                 yield output
         except Exception as e:
@@ -160,7 +164,11 @@ class BaseChat(ABC):
         logger.info(f"Request: \n{payload}")
         ai_response_text = ""
         try:
-            from pilot.model.cluster import worker_manager
+            from pilot.model.cluster import WorkerManagerFactory
+
+            worker_manager = CFG.SYSTEM_APP.get_componet(
+                ComponetType.WORKER_MANAGER_FACTORY, WorkerManagerFactory
+            ).create()
 
             model_output = await worker_manager.generate(payload)
 

pilot/server/base.py

@@ -71,7 +71,6 @@ def server_init(args, system_app: SystemApp):
 
 def _create_model_start_listener(system_app: SystemApp):
     from pilot.connections.manages.connection_manager import ConnectManager
-    from pilot.model.cluster import worker_manager
 
     cfg = Config()
 

pilot/server/componet_configs.py

@@ -1,14 +1,10 @@
 from __future__ import annotations
 
-from typing import Any, Type, TYPE_CHECKING
-
-from pilot.componet import SystemApp
 import logging
-from pilot.configs.model_config import get_device
+from typing import TYPE_CHECKING, Any, Type
-from pilot.embedding_engine.embedding_factory import (
+
-    EmbeddingFactory,
+from pilot.componet import ComponetType, SystemApp
-    DefaultEmbeddingFactory,
+from pilot.embedding_engine.embedding_factory import EmbeddingFactory
-)
 from pilot.server.base import WebWerverParameters
 
 if TYPE_CHECKING:
@@ -39,13 +35,9 @@ def _initialize_embedding_model(
     embedding_model_name: str,
     embedding_model_path: str,
 ):
-    from pilot.model.cluster import worker_manager
-
     if param.remote_embedding:
         logger.info("Register remote RemoteEmbeddingFactory")
-        system_app.register(
+        system_app.register(RemoteEmbeddingFactory, model_name=embedding_model_name)
-            RemoteEmbeddingFactory, worker_manager, model_name=embedding_model_name
-        )
     else:
         logger.info(f"Register local LocalEmbeddingFactory")
         system_app.register(
@@ -56,26 +48,28 @@ def _initialize_embedding_model(
 
 
 class RemoteEmbeddingFactory(EmbeddingFactory):
-    def __init__(
+    def __init__(self, system_app, model_name: str = None, **kwargs: Any) -> None:
-        self, system_app, worker_manager, model_name: str = None, **kwargs: Any
-    ) -> None:
         super().__init__(system_app=system_app)
-        self._worker_manager = worker_manager
         self._default_model_name = model_name
         self.kwargs = kwargs
+        self.system_app = system_app
 
     def init_app(self, system_app):
-        pass
+        self.system_app = system_app
 
     def create(
         self, model_name: str = None, embedding_cls: Type = None
     ) -> "Embeddings":
+        from pilot.model.cluster import WorkerManagerFactory
         from pilot.model.cluster.embedding.remote_embedding import RemoteEmbeddings
 
         if embedding_cls:
             raise NotImplementedError
+        worker_manager = self.system_app.get_componet(
+            ComponetType.WORKER_MANAGER_FACTORY, WorkerManagerFactory
+        ).create()
         # Ignore model_name args
-        return RemoteEmbeddings(self._default_model_name, self._worker_manager)
+        return RemoteEmbeddings(self._default_model_name, worker_manager)
 
 
 class LocalEmbeddingFactory(EmbeddingFactory):
@@ -103,13 +97,13 @@ class LocalEmbeddingFactory(EmbeddingFactory):
         return self._model
 
     def _load_model(self) -> "Embeddings":
-        from pilot.model.parameter import (
-            EmbeddingModelParameters,
-            BaseEmbeddingModelParameters,
-            EMBEDDING_NAME_TO_PARAMETER_CLASS_CONFIG,
-        )
-        from pilot.model.cluster.worker.embedding_worker import _parse_embedding_params
         from pilot.model.cluster.embedding.loader import EmbeddingLoader
+        from pilot.model.cluster.worker.embedding_worker import _parse_embedding_params
+        from pilot.model.parameter import (
+            EMBEDDING_NAME_TO_PARAMETER_CLASS_CONFIG,
+            BaseEmbeddingModelParameters,
+            EmbeddingModelParameters,
+        )
 
         param_cls = EMBEDDING_NAME_TO_PARAMETER_CLASS_CONFIG.get(
             self._default_model_name, EmbeddingModelParameters

pilot/utils/parameter_utils.py

@@ -12,6 +12,7 @@ class ParameterDescription:
     param_type: str
     default_value: Optional[Any]
     description: str
+    required: Optional[bool]
     valid_values: Optional[List[Any]]
     ext_metadata: Dict
 
@@ -460,20 +461,25 @@ def _type_str_to_python_type(type_str: str) -> Type:
     return type_mapping.get(type_str, str)
 
 
-def _get_parameter_descriptions(dataclass_type: Type) -> List[ParameterDescription]:
+def _get_parameter_descriptions(
+    dataclass_type: Type, **kwargs
+) -> List[ParameterDescription]:
     descriptions = []
     for field in fields(dataclass_type):
         ext_metadata = {
             k: v for k, v in field.metadata.items() if k not in ["help", "valid_values"]
         }
-
+        default_value = field.default if field.default != MISSING else None
+        if field.name in kwargs:
+            default_value = kwargs[field.name]
         descriptions.append(
             ParameterDescription(
                 param_class=f"{dataclass_type.__module__}.{dataclass_type.__name__}",
                 param_name=field.name,
                 param_type=EnvArgumentParser._get_argparse_type_str(field.type),
                 description=field.metadata.get("help", None),
-                default_value=field.default if field.default != MISSING else None,
+                required=field.default is MISSING,
+                default_value=default_value,
                 valid_values=field.metadata.get("valid_values", None),
                 ext_metadata=ext_metadata,
             )