refactor(agent): Agent modular refactoring (#1487)

dbgpt/agent/expand/actions/chart_action.py

@@ -0,0 +1,106 @@
+"""Chart Action for SQL execution and rendering."""
+
+import json
+import logging
+from typing import Optional
+
+from dbgpt._private.pydantic import BaseModel, Field, model_to_json
+from dbgpt.vis.tags.vis_chart import Vis, VisChart
+
+from ...core.action.base import Action, ActionOutput
+from ...resource.resource_api import AgentResource, ResourceType
+from ...resource.resource_db_api import ResourceDbClient
+
+logger = logging.getLogger(__name__)
+
+
+class SqlInput(BaseModel):
+    """SQL input model."""
+
+    display_type: str = Field(
+        ...,
+        description="The chart rendering method selected for SQL. If you don’t know "
+        "what to output, just output 'response_table' uniformly.",
+    )
+    sql: str = Field(
+        ..., description="Executable sql generated for the current target/problem"
+    )
+    thought: str = Field(..., description="Summary of thoughts to the user")
+
+
+class ChartAction(Action[SqlInput]):
+    """Chart action class."""
+
+    def __init__(self):
+        """Create a chart action."""
+        super().__init__()
+        self._render_protocol = VisChart()
+
+    @property
+    def resource_need(self) -> Optional[ResourceType]:
+        """Return the resource type needed for the action."""
+        return ResourceType.DB
+
+    @property
+    def render_protocol(self) -> Optional[Vis]:
+        """Return the render protocol."""
+        return self._render_protocol
+
+    @property
+    def out_model_type(self):
+        """Return the output model type."""
+        return SqlInput
+
+    async def run(
+        self,
+        ai_message: str,
+        resource: Optional[AgentResource] = None,
+        rely_action_out: Optional[ActionOutput] = None,
+        need_vis_render: bool = True,
+        **kwargs,
+    ) -> ActionOutput:
+        """Perform the action."""
+        try:
+            param: SqlInput = self._input_convert(ai_message, SqlInput)
+        except Exception as e:
+            logger.exception(f"{str(e)}! \n {ai_message}")
+            return ActionOutput(
+                is_exe_success=False,
+                content="The requested correctly structured answer could not be found.",
+            )
+        try:
+            if not self.resource_loader:
+                raise ValueError("ResourceLoader is not initialized！")
+            resource_db_client: Optional[
+                ResourceDbClient
+            ] = self.resource_loader.get_resource_api(
+                self.resource_need, ResourceDbClient
+            )
+            if not resource_db_client:
+                raise ValueError(
+                    "There is no implementation class bound to database resource "
+                    "execution！"
+                )
+            if not resource:
+                raise ValueError("The data resource is not found！")
+            data_df = await resource_db_client.query_to_df(resource.value, param.sql)
+            if not self.render_protocol:
+                raise ValueError("The rendering protocol is not initialized！")
+            view = await self.render_protocol.display(
+                chart=json.loads(model_to_json(param)), data_df=data_df
+            )
+            if not self.resource_need:
+                raise ValueError("The resource type is not found！")
+            return ActionOutput(
+                is_exe_success=True,
+                content=model_to_json(param),
+                view=view,
+                resource_type=self.resource_need.value,
+                resource_value=resource.value,
+            )
+        except Exception as e:
+            logger.exception("Check your answers, the sql run failed！")
+            return ActionOutput(
+                is_exe_success=False,
+                content=f"Check your answers, the sql run failed!Reason:{str(e)}",
+            )