ragflow/sdk/python/ragflow_sdk/modules/session.py

#
#  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.
#

import json
import logging

from .base import Base

logger = logging.getLogger(__name__)


class Session(Base):
    def __init__(self, rag, res_dict):
        self.id = None
        self.name = "New session"
        self.messages = [{"role": "assistant", "content": "Hi! I am your assistant, can I help you?"}]
        for key, value in res_dict.items():
            if key == "chat_id" and value is not None:
                self.chat_id = None
                self.__session_type = "chat"
            if key == "agent_id" and value is not None:
                self.agent_id = None
                self.__session_type = "agent"
        super().__init__(rag, res_dict)

    def ask(
        self,
        question="",
        stream=False,
        inputs=None,
        release=None,
        return_trace=None,
        **kwargs,
    ):
        """
        Ask a question to the session.

        Parameters
        ----------
        question : str
            The user's question. May be empty when the agent is driven solely by
            Begin component inputs.
        stream : bool
            If ``True``, yields ``Message`` objects as they arrive (SSE streaming).
            If ``False``, yields a single ``Message`` with the final answer.
        inputs : dict, optional
            Values for variables declared on the agent's **Begin** component. Each
            value must be a dict containing at least a ``"value"`` key, and may
            include ``"type"``. Example::

                session.ask(
                    "",
                    stream=False,
                    inputs={"key1": {"type": "line", "value": "hello"}},
                )

            Only meaningful for agent sessions; ignored for chat sessions.
        release : bool, optional
            If ``True``, run against the latest published agent version instead of
            the editable draft. Only meaningful for agent sessions.
        return_trace : bool, optional
            If ``True``, include execution trace information in the response.
            Only meaningful for agent sessions.
        **kwargs
            Additional fields forwarded verbatim to the completion endpoint
            (e.g. ``session_id``, ``files``, ``user_id``, ``custom_header``).
            See the HTTP API reference for the full list.
        """
        if inputs is not None:
            kwargs["inputs"] = inputs
        if release is not None:
            kwargs["release"] = release
        if return_trace is not None:
            kwargs["return_trace"] = return_trace

        if inputs is not None or release is not None or return_trace is not None:
            logger.debug(
                "Session.ask explicit-params session_type=%s session_id=%s input_keys=%s release=%s return_trace=%s",
                self.__session_type,
                getattr(self, "id", None),
                list(inputs.keys()) if isinstance(inputs, dict) else None,
                release,
                return_trace,
            )

        if self.__session_type == "agent":
            res = self._ask_agent(question, stream, **kwargs)
        elif self.__session_type == "chat":
            res = self._ask_chat(question, stream, **kwargs)
        else:
            raise Exception(f"Unknown session type: {self.__session_type}")

        if stream:
            for line in res.iter_lines(decode_unicode=True):
                if not line:
                    continue  # Skip empty lines
                line = line.strip()
                if line.startswith("data:"):
                    content = line[len("data:") :].strip()
                    if content == "[DONE]":
                        break  # End of stream
                else:
                    content = line

                try:
                    json_data = json.loads(content)
                except json.JSONDecodeError:
                    continue  # Skip lines that are not valid JSON

                event = json_data.get("event", None)
                if event and event != "message":
                    continue

                if (self.__session_type == "agent" and event == "message_end") or (self.__session_type == "chat" and json_data.get("data") is True):
                    return
                if self.__session_type == "agent":
                    yield self._structure_answer(json_data)
                else:
                    yield self._structure_answer(json_data["data"])
        else:
            try:
                json_data = res.json()
            except ValueError:
                raise Exception(f"Invalid response {res}")
            yield self._structure_answer(json_data["data"])

    def _structure_answer(self, json_data):
        answer = ""
        if self.__session_type == "agent":
            answer = json_data["data"]["content"]
        elif self.__session_type == "chat":
            answer = json_data["answer"]
        reference = json_data.get("reference", {})
        temp_dict = {"content": answer, "role": "assistant"}
        if reference and "chunks" in reference:
            chunks = reference["chunks"]
            temp_dict["reference"] = chunks
        message = Message(self.rag, temp_dict)
        return message

    def _ask_chat(self, question: str, stream: bool, **kwargs):
        json_data = {"question": question, "stream": stream, "session_id": self.id}
        json_data.update(kwargs)
        res = self.post(f"/chats/{self.chat_id}/completions", json_data, stream=stream)
        return res

    def _ask_agent(self, question: str, stream: bool, **kwargs):
        json_data = {
            "agent_id": self.agent_id,
            "query": question,
            "stream": stream,
            "session_id": self.id,
            "openai-compatible": False,
        }
        json_data.update(kwargs)
        res = self.post("/agents/chat/completions", json_data, stream=stream)
        return res

    def update(self, update_message):
        res = self.patch(f"/chats/{self.chat_id}/sessions/{self.id}", update_message)
        res = res.json()
        if res.get("code") != 0:
            raise Exception(res.get("message"))


class Message(Base):
    def __init__(self, rag, res_dict):
        self.content = "Hi! I am your assistant, can I help you?"
        self.reference = None
        self.role = "assistant"
        self.prompt = None
        self.id = None
        super().__init__(rag, res_dict)