feat: add data collector for dataset generation

camel/data_collector/__init__.py

@@ -0,0 +1,19 @@
+# ========= Copyright 2023-2024 @ CAMEL-AI.org. 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.
+# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
+
+from .alpaca_collector import AlpacaDataCollector
+from .base import BaseDataCollector
+from .sharegpt_collector import ShareGPTDataCollector
+
+__all__ = ["BaseDataCollector", "AlpacaDataCollector", "ShareGPTDataCollector"]

camel/data_collector/alpaca_collector.py

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+# ========= Copyright 2023-2024 @ CAMEL-AI.org. 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.
+# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
+
+from typing import Any, Dict, List, Optional, Union
+
+from typing_extensions import Self
+
+from camel.agents import ChatAgent
+from camel.data_collector.base import BaseDataCollector
+from camel.messages import AlpacaItem, BaseMessage
+from camel.schemas import OpenAISchemaConverter
+
+# ruff: noqa: E501
+DEFAULT_CONVERTER_PROMPTS = """
+    Extract key entities and attributes from the conversations
+    and convert them into a structured JSON format.
+    For example:
+    Instruction: You are a helpful assistant. 
+    User: When is the release date of the video game Portal?
+    Assistant: The release date of the video game Portal is October 9.
+    Your output should be:
+    {
+        "instruction": "You are a helpful assistant. When is the release date of the video game Portal?",
+        "input": "",
+        "output": "The release date of the video game Portal is October 9."
+    }
+"""
+
+
+class AlpacaDataCollector(BaseDataCollector):
+    def __init__(self) -> None:
+        super().__init__()
+        self.system_message: Optional[BaseMessage] = None
+        self.agent_name: Optional[str] = None
+
+    def record(
+        self,
+        agent: Union[List[ChatAgent], ChatAgent],
+    ) -> Self:
+        r"""Inject an agent into the data collector.
+
+        Args:
+            agent (Union[List[ChatAgent], ChatAgent]):
+                The agent to inject.
+        """
+        if not self.agent_name:
+            _agent = agent if isinstance(agent, ChatAgent) else agent[0]
+            self.agent_name = _agent.role_name
+            self.system_message = _agent._system_message
+        super().record(agent)
+        return self
+
+    def convert(self) -> Dict[str, Any]:
+        r"""Convert the collected data into a dictionary."""
+        if self.agent_name is None:
+            raise ValueError("No agent injected")
+
+        history = self.get_agent_history(self.agent_name)
+        if not history:
+            raise ValueError("No data collected.")
+
+        # Validate and process history
+        if len(history) == 3 and history[0].role == "system":
+            history = history[1:]  # Ignore the system message.
+        elif len(history) != 2:
+            raise ValueError(
+                f"AlpacaDataCollector only supports one message pair, but "
+                f"got {len(history)}"
+            )
+
+        input_message, output_message = history
+        instruction = (
+            self.system_message.content if self.system_message else ""
+        ) + str(input_message.message)
+
+        data = {
+            "instruction": instruction,
+            "input": "",
+            "output": output_message.message,
+        }
+        self.data.append(data)
+        return data
+
+    def llm_convert(
+        self,
+        converter: Optional[OpenAISchemaConverter] = None,
+        prompt: Optional[str] = None,
+    ) -> Dict[str, str]:
+        r"""Convert collected data using an LLM schema converter.
+
+        Args:
+            converter (Optional[OpenAISchemaConverter], optional):
+                The converter to use. (default: :obj:`OpenAISchemaConverter`)
+            prompt (Optional[str], optional): Prompt to guide the conversion.
+                (default: :obj:`DEFAULT_CONVERTER_PROMPTS`)
+
+        Returns:
+            Dict[str, str]: The converted data.
+
+        Raises:
+            ValueError: If no agent is injected or data cannot be collected.
+        """
+        prompt = prompt or DEFAULT_CONVERTER_PROMPTS
+        converter = converter or OpenAISchemaConverter()
+
+        system = self.system_message.content if self.system_message else ""
+        context = [f"Instruction: {system}\n"]
+
+        for message in self.get_agent_history(str(self.agent_name)):
+            if message.role == "user":
+                context.append(f"User: {message.message}\n")
+            else:
+                context.append(f"{message.name}: {message.message}\n")
+        return converter.convert(
+            "\n".join(context), AlpacaItem, prompt=prompt
+        ).model_dump()

camel/data_collector/base.py

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+# ========= Copyright 2023-2024 @ CAMEL-AI.org. 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.
+# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
+
+import uuid
+from abc import ABC, abstractmethod
+from typing import Any, Dict, List, Literal, Optional, Tuple, Union
+from uuid import UUID
+
+from typing_extensions import Self
+
+from camel.agents import ChatAgent
+
+
+class CollectorData:
+    def __init__(
+        self,
+        id: UUID,
+        name: str,
+        role: Literal["user", "assistant", "system", "function"],
+        message: Optional[str] = None,
+        function_call: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        r"""Create a data item store information about a message.
+        Used by the data collector.
+
+        Args:
+
+            id (UUID): The id of the message.
+            name (str): The name of the agent.
+            role (Literal["user", "assistant", "system", "function"]):
+                The role of the message.
+            message (Optional[str], optional): The message.
+                (default: :obj:`None`)
+            function_call (Optional[Dict[str, Any]], optional):
+                The function call. (default: :obj:`None`)
+
+        Raises:
+
+            ValueError: If the role is not supported.
+            ValueError: If the role is system and function call is provided.
+            ValueError: If neither message nor function call is provided.
+
+        """
+        if role not in ["user", "assistant", "system", "function"]:
+            raise ValueError(f"Role {role} not supported")
+        if role == "system" and function_call:
+            raise ValueError("System role cannot have function call")
+        if not message and not function_call:
+            raise ValueError(
+                "Either message or function call must be provided"
+            )
+        self.id = id
+        self.name = name
+        self.role = role
+        self.message = message
+        self.function_call = function_call
+
+    @staticmethod
+    def from_context(name, context: Dict[str, Any]) -> "CollectorData":
+        r"""Create a data collector from a context.
+
+        Args:
+            name (str): The name of the agent.
+            context (Dict[str, Any]): The context.
+
+        Returns:
+            CollectorData: The data collector.
+        """
+        return CollectorData(
+            id=uuid.uuid4(),
+            name=name,
+            role=context["role"],
+            message=context["content"],
+            function_call=context.get("function_call", None),
+        )
+
+
+class BaseDataCollector(ABC):
+    r"""Base class for data collectors."""
+
+    def __init__(self) -> None:
+        r"""Create a data collector."""
+        self.history: List[CollectorData] = []
+        self._recording = False
+        self.agents: List[Tuple[str, ChatAgent]] = []
+        self.data: List[Dict[str, Any]] = []
+
+    def step(
+        self,
+        role: Literal["user", "assistant", "system", "function"],
+        name: Optional[str] = None,
+        message: Optional[str] = None,
+        function_call: Optional[Dict[str, Any]] = None,
+    ) -> Self:
+        r"""Record a message.
+
+        Args:
+            role (Literal["user", "assistant", "system", "function"]):
+                The role of the message.
+            name (Optional[str], optional): The name of the agent.
+                (default: :obj:`None`)
+            message (Optional[str], optional): The message to record.
+                (default: :obj:`None`)
+            function_call (Optional[Dict[str, Any]], optional):
+                The function call to record. (default: :obj:`None`)
+
+        Returns:
+            Self: The data collector.
+
+        """
+
+        name = name or role
+
+        self.history.append(
+            CollectorData(
+                id=uuid.uuid4(),
+                name=name,
+                role=role,
+                message=message,
+                function_call=function_call,
+            )
+        )
+        return self
+
+    def record(
+        self,
+        agent: Union[List[ChatAgent], ChatAgent],
+    ) -> Self:
+        r"""Record agents.
+
+        Args:
+            agent (Union[List[ChatAgent], ChatAgent]):
+                The agent(s) to inject.
+        """
+        if not isinstance(agent, list):
+            agent = [agent]
+        for a in agent:
+            name = a.role_name
+            if not name:
+                name = f"{a.__class__.__name__}_{len(self.agents)}"
+            if name in [n for n, _ in self.agents]:
+                raise ValueError(f"Name {name} already exists")
+
+            self.agents.append((name, a))
+        return self
+
+    def start(self) -> Self:
+        r"""Start recording."""
+        self._recording = True
+        return self
+
+    def stop(self) -> Self:
+        r"""Stop recording."""
+        self._recording = False
+        return self
+
+    @property
+    def recording(self) -> bool:
+        r"""Whether the collector is recording."""
+        return self._recording
+
+    def reset(self, reset_agents: bool = True):
+        r"""Reset the collector.
+
+        Args:
+            reset_agents (bool, optional):
+                Whether to reset the agents. Defaults to True.
+        """
+        self.history = []
+        if reset_agents:
+            for _, agent in self.agents:
+                agent.reset()
+
+    @abstractmethod
+    def convert(self) -> Any:
+        r"""Convert the collected data."""
+        pass
+
+    @abstractmethod
+    def llm_convert(self, converter: Any, prompt: Optional[str] = None) -> Any:
+        r"""Convert the collected data."""
+        pass
+
+    def get_agent_history(self, name: str) -> List[CollectorData]:
+        r"""Get the message history of an agent.
+
+        Args:
+            name (str): The name of the agent.
+
+        Returns:
+            List[CollectorData]: The message history of the agent
+        """
+        if not self.history:
+            for _name, agent in self.agents:
+                if _name == name:
+                    return [
+                        CollectorData.from_context(name, dict(i))
+                        for i in agent.memory.get_context()[0]
+                    ]
+        return [msg for msg in self.history if msg.name == name]