feat(workflow): Add a new node for executing code

api/app/core/workflow/nodes/code/__init__.py

@@ -0,0 +1,3 @@
+from app.core.workflow.nodes.code.node import CodeNode
+
+__all__ = ["CodeNode"]

api/app/core/workflow/nodes/code/config.py

@@ -0,0 +1,50 @@
+from typing import Literal
+from pydantic import Field, BaseModel
+
+from app.core.workflow.nodes.base_config import BaseNodeConfig, VariableType
+
+
+class InputVariable(BaseModel):
+    name: str = Field(
+        ...,
+        description="variable name"
+    )
+
+    variable: str = Field(
+        ...,
+        description="variable selector"
+    )
+
+
+class OutputVariable(BaseModel):
+    name: str = Field(
+        ...,
+        description="variable name"
+    )
+
+    type: VariableType = Field(
+        ...,
+        description="variable selector"
+    )
+
+
+class CodeNodeConfig(BaseNodeConfig):
+    input_variables: list[InputVariable] = Field(
+        default_factory=list,
+        description="input variables"
+    )
+
+    output_variables: list[OutputVariable] = Field(
+        default_factory=list,
+        description="output variables"
+    )
+
+    code_content: str = Field(
+        default="",
+        description="code content"
+    )
+
+    language: Literal['python3', 'nodejs'] = Field(
+        ...,
+        description="language"
+    )

api/app/core/workflow/nodes/code/node.py

@@ -0,0 +1,122 @@
+import base64
+import json
+import logging
+import re
+from string import Template
+from textwrap import dedent
+from typing import Any
+
+import httpx
+from sympy.physics.vector import vlatex
+
+from app.core.workflow.nodes import BaseNode, WorkflowState
+from app.core.workflow.nodes.base_config import VariableType
+from app.core.workflow.nodes.code.config import CodeNodeConfig
+
+logger = logging.getLogger(__name__)
+
+SCRIPT_TEMPLATE = Template(dedent("""
+$code
+
+import json
+from base64 import b64decode
+
+# decode and prepare input dict
+inputs_obj = json.loads(b64decode('$inputs_variable').decode('utf-8'))
+
+# execute main function
+output_obj = main(**inputs_obj)
+
+# convert output to json and print
+output_json = json.dumps(output_obj, indent=4)
+result = "<<RESULT>>" + output_json + "<<RESULT>>"
+print(result)
+"""))
+
+
+class CodeNode(BaseNode):
+    def __init__(self, node_config: dict[str, Any], workflow_config: dict[str, Any]):
+        super().__init__(node_config, workflow_config)
+        self.typed_config: CodeNodeConfig | None = None
+
+    def extract_result(self, content: str):
+        match = re.search(r'<<RESULT>>(.*?)<<RESULT>>', content, re.DOTALL)
+        if match:
+            extracted = match.group(1)
+            exec_result = json.loads(extracted)
+            result = {}
+            for output in self.typed_config.output_variables:
+                value = exec_result.get(output.name)
+                if not value:
+                    raise RuntimeError(f"Return value {output.name} does not exist")
+                match output.type:
+                    case VariableType.STRING:
+                        if not isinstance(value, str):
+                            raise RuntimeError(f"Return value {output.name} should be a string")
+                    case VariableType.BOOLEAN:
+                        if not isinstance(value, bool):
+                            raise RuntimeError(f"Return value {output.name} should be a boolean")
+                    case VariableType.NUMBER:
+                        if not isinstance(value, (int, float)):
+                            raise RuntimeError(f"Return value {output.name} should be a number")
+                    case VariableType.OBJECT:
+                        if not isinstance(value, dict):
+                            raise RuntimeError(f"Return value {output.name} should be a dictionary")
+                    case VariableType.ARRAY_STRING:
+                        if not isinstance(value, list) or not all(isinstance(v, str) for v in value):
+                            raise RuntimeError(f"Return value {output.name} should be a list of strings")
+                    case VariableType.ARRAY_NUMBER:
+                        if not isinstance(value, list) or not all(isinstance(v, (int, float)) for v in value):
+                            raise RuntimeError(f"Return value {output.name} should be a list of numbers")
+                    case VariableType.ARRAY_OBJECT:
+                        if not isinstance(value, list) or not all(isinstance(v, dict) for v in value):
+                            raise RuntimeError(f"Return value {output.name} should be a list of dictionaries")
+                    case VariableType.ARRAY_BOOLEAN:
+                        if not isinstance(value, list) or not all(isinstance(v, bool) for v in value):
+                            raise RuntimeError(f"Return value {output.name} should be a list of booleans")
+                result[output.name] = value
+            return result
+        else:
+            raise RuntimeError("The output of main must be a dictionary")
+
+    async def execute(self, state: WorkflowState) -> Any:
+        self.typed_config = CodeNodeConfig(**self.config)
+        input_variable_dict = {}
+        for input_variable in self.typed_config.input_variables:
+            input_variable_dict[input_variable.name] = self.get_variable(input_variable.variable, state)
+        code = base64.b64decode(
+            self.typed_config.code
+        ).decode("utf-8")
+
+        input_variable_dict = base64.b64encode(
+            json.dumps(input_variable_dict).encode("utf-8")
+        ).decode("utf-8")
+
+        final_script = SCRIPT_TEMPLATE.substitute(
+            code=code,
+            inputs_variable=input_variable_dict,
+        )
+
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                "http://sandbox:8194/v1/sandbox/run",
+                headers={
+                    "x-api-key": 'redbear-sandbox'
+                },
+                json={
+                    "language": "python3",
+                    "code": base64.b64encode(final_script.encode("utf-8")).decode("utf-8"),
+                    "options": {
+                        "enable_network": True
+                    }
+                }
+            )
+        resp = response.json()
+
+        match resp['code']:
+            case 31:
+                raise RuntimeError("Operation not permitted")
+            case 0:
+                return self.extract_result(resp["data"]["stdout"])
+            case _:
+                raise Exception(resp["message"])

api/app/core/workflow/nodes/configs.py

@@ -10,21 +10,22 @@ from app.core.workflow.nodes.base_config import (
     VariableDefinition,
     VariableType,
 )
+from app.core.workflow.nodes.code.config import CodeNodeConfig
+from app.core.workflow.nodes.cycle_graph.config import LoopNodeConfig, IterationNodeConfig
 from app.core.workflow.nodes.end.config import EndNodeConfig
 from app.core.workflow.nodes.http_request.config import HttpRequestNodeConfig
 from app.core.workflow.nodes.if_else.config import IfElseNodeConfig
 from app.core.workflow.nodes.jinja_render.config import JinjaRenderNodeConfig
 from app.core.workflow.nodes.knowledge.config import KnowledgeRetrievalNodeConfig
 from app.core.workflow.nodes.llm.config import LLMNodeConfig, MessageConfig
-from app.core.workflow.nodes.start.config import StartNodeConfig
-from app.core.workflow.nodes.transform.config import TransformNodeConfig
-from app.core.workflow.nodes.variable_aggregator.config import VariableAggregatorNodeConfig
+from app.core.workflow.nodes.memory.config import MemoryReadNodeConfig, MemoryWriteNodeConfig
 from app.core.workflow.nodes.parameter_extractor.config import ParameterExtractorNodeConfig
 from app.core.workflow.nodes.question_classifier.config import QuestionClassifierNodeConfig
+from app.core.workflow.nodes.start.config import StartNodeConfig
 from app.core.workflow.nodes.tool.config import ToolNodeConfig
-from app.core.workflow.nodes.memory.config import MemoryReadNodeConfig, MemoryWriteNodeConfig
+from app.core.workflow.nodes.transform.config import TransformNodeConfig
+from app.core.workflow.nodes.variable_aggregator.config import VariableAggregatorNodeConfig
 
-from app.core.workflow.nodes.cycle_graph.config import LoopNodeConfig, IterationNodeConfig
 __all__ = [
     # 基础类
     "BaseNodeConfig",
@@ -49,5 +50,6 @@ __all__ = [
     "QuestionClassifierNodeConfig",
     "ToolNodeConfig",
     "MemoryReadNodeConfig",
-    "MemoryWriteNodeConfig"
+    "MemoryWriteNodeConfig",
+    "CodeNodeConfig"
 ]

api/app/core/workflow/nodes/node_factory.py

@@ -10,6 +10,7 @@ from typing import Any, Union
 from app.core.workflow.nodes.agent import AgentNode
 from app.core.workflow.nodes.assigner import AssignerNode
 from app.core.workflow.nodes.base_node import BaseNode
+from app.core.workflow.nodes.code import CodeNode
 from app.core.workflow.nodes.cycle_graph.node import CycleGraphNode
 from app.core.workflow.nodes.end import EndNode
 from app.core.workflow.nodes.enums import NodeType
@@ -49,7 +50,8 @@ WorkflowNode = Union[
     QuestionClassifierNode,
     ToolNode,
     MemoryReadNode,
-    MemoryWriteNode
+    MemoryWriteNode,
+    CodeNode
 ]
 
 
@@ -81,6 +83,7 @@ class NodeFactory:
         NodeType.TOOL: ToolNode,
         NodeType.MEMORY_READ: MemoryReadNode,
         NodeType.MEMORY_WRITE: MemoryWriteNode,
+        NodeType.CODE: CodeNode,
     }
 
     @classmethod

sandbox/app/core/executor.py

@@ -15,7 +15,6 @@ class ExecutionResult:
         self.stdout = stdout
         self.stderr = stderr
         self.exit_code = exit_code
-        self.error = error
 
 
 class CodeExecutor(ABC):

sandbox/app/core/runners/python/python_runner.py

@@ -9,12 +9,15 @@ from app.config import SANDBOX_USER_ID, SANDBOX_GROUP_ID, get_config
 from app.core.encryption import generate_key, encrypt_code
 from app.core.executor import CodeExecutor, ExecutionResult
 from app.core.runners.python.settings import check_lib_avaiable, release_lib_binary, LIB_PATH
+from app.logger import get_logger
 from app.models import RunnerOptions
 
 # Python sandbox prescript template
 with open("app/core/runners/python/prescript.py") as f:
     PYTHON_PRESCRIPT = f.read()
 
+logger = get_logger()
+
 
 class PythonRunner(CodeExecutor):
     """Python code runner with security isolation"""
@@ -106,6 +109,7 @@ class PythonRunner(CodeExecutor):
                 env["ALLOWED_SYSCALLS"] = ",".join(map(str, config.allowed_syscalls))
 
             # Execute with Python interpreter
+            logger.info(encoded_key)
 
             process = await asyncio.create_subprocess_exec(
                 config.python_path,
@@ -143,7 +147,6 @@ class PythonRunner(CodeExecutor):
                     stdout="",
                     stderr="Execution timeout",
                     exit_code=-1,
-                    error="Execution timeout"
                 )
 
         finally:

sandbox/app/services/python_service.py

@@ -37,8 +37,8 @@ async def run_python_code(code: str, preload: str, options: RunnerOptions):
         if result.exit_code == -signal.SIGSYS:
             return error_response(31, "sandbox security policy violation")
 
-        if result.error:
-            return error_response(-500, result.error)
+        if result.stderr:
+            return error_response(500, result.stderr)
         
         return success_response(RunCodeResponse(
             stdout=result.stdout,