将flask改成fastapi

sdk/python/ragflow_sdk/modules/chat.py

@@ -0,0 +1,87 @@
+#
+#  Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
+#
+#  Licensed 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 .base import Base
+from .session import Session
+
+
+class Chat(Base):
+    def __init__(self, rag, res_dict):
+        self.id = ""
+        self.name = "assistant"
+        self.avatar = "path/to/avatar"
+        self.llm = Chat.LLM(rag, {})
+        self.prompt = Chat.Prompt(rag, {})
+        super().__init__(rag, res_dict)
+
+    class LLM(Base):
+        def __init__(self, rag, res_dict):
+            self.model_name = None
+            self.temperature = 0.1
+            self.top_p = 0.3
+            self.presence_penalty = 0.4
+            self.frequency_penalty = 0.7
+            self.max_tokens = 512
+            super().__init__(rag, res_dict)
+
+    class Prompt(Base):
+        def __init__(self, rag, res_dict):
+            self.similarity_threshold = 0.2
+            self.keywords_similarity_weight = 0.7
+            self.top_n = 8
+            self.top_k = 1024
+            self.variables = [{"key": "knowledge", "optional": True}]
+            self.rerank_model = ""
+            self.empty_response = None
+            self.opener = "Hi! I'm your assistant. What can I do for you?"
+            self.show_quote = True
+            self.prompt = (
+                "You are an intelligent assistant. Please summarize the content of the knowledge base to answer the question. "
+                "Please list the data in the knowledge base and answer in detail. When all knowledge base content is irrelevant to the question, "
+                "your answer must include the sentence 'The answer you are looking for is not found in the knowledge base!' "
+                "Answers need to consider chat history.\nHere is the knowledge base:\n{knowledge}\nThe above is the knowledge base."
+            )
+            super().__init__(rag, res_dict)
+
+    def update(self, update_message: dict):
+        res = self.put(f"/chats/{self.id}", update_message)
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res["message"])
+
+    def create_session(self, name: str = "New session") -> Session:
+        res = self.post(f"/chats/{self.id}/sessions", {"name": name})
+        res = res.json()
+        if res.get("code") == 0:
+            return Session(self.rag, res["data"])
+        raise Exception(res["message"])
+
+    def list_sessions(self, page: int = 1, page_size: int = 30, orderby: str = "create_time", desc: bool = True, id: str = None, name: str = None) -> list[Session]:
+        res = self.get(f"/chats/{self.id}/sessions", {"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name})
+        res = res.json()
+        if res.get("code") == 0:
+            result_list = []
+            for data in res["data"]:
+                result_list.append(Session(self.rag, data))
+            return result_list
+        raise Exception(res["message"])
+
+    def delete_sessions(self, ids: list[str] | None = None):
+        res = self.rm(f"/chats/{self.id}/sessions", {"ids": ids})
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res.get("message"))