mirror of
https://github.com/infiniflow/ragflow.git
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344 lines
12 KiB
Python
344 lines
12 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import ast
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import base64
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import json
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import logging
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import os
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from abc import ABC
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from typing import Optional
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from pydantic import BaseModel, Field, field_validator
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from strenum import StrEnum
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from agent.tools.base import ToolBase, ToolMeta, ToolParamBase
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from common import settings
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from common.connection_utils import timeout
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class Language(StrEnum):
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PYTHON = "python"
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NODEJS = "nodejs"
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class CodeExecutionRequest(BaseModel):
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code_b64: str = Field(..., description="Base64 encoded code string")
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language: str = Field(default=Language.PYTHON.value, description="Programming language")
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arguments: Optional[dict] = Field(default={}, description="Arguments")
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@field_validator("code_b64")
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@classmethod
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def validate_base64(cls, v: str) -> str:
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try:
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base64.b64decode(v, validate=True)
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return v
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except Exception as e:
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raise ValueError(f"Invalid base64 encoding: {str(e)}")
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@field_validator("language", mode="before")
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@classmethod
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def normalize_language(cls, v) -> str:
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if isinstance(v, str):
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low = v.lower()
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if low in ("python", "python3"):
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return "python"
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elif low in ("javascript", "nodejs"):
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return "nodejs"
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raise ValueError(f"Unsupported language: {v}")
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class CodeExecParam(ToolParamBase):
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"""
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Define the code sandbox component parameters.
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"""
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def __init__(self):
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self.meta: ToolMeta = {
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"name": "execute_code",
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"description": """
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This tool has a sandbox that can execute code written in 'Python'/'Javascript'. It receives a piece of code and return a Json string.
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Here's a code example for Python(`main` function MUST be included):
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def main() -> dict:
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\"\"\"
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Generate Fibonacci numbers within 100.
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\"\"\"
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def fibonacci_recursive(n):
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if n <= 1:
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return n
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else:
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return fibonacci_recursive(n-1) + fibonacci_recursive(n-2)
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return {
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"result": fibonacci_recursive(100),
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}
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Here's a code example for Javascript(`main` function MUST be included and exported):
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const axios = require('axios');
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async function main(args) {
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try {
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const response = await axios.get('https://github.com/infiniflow/ragflow');
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console.log('Body:', response.data);
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} catch (error) {
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console.error('Error:', error.message);
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}
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}
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module.exports = { main };
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""",
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"parameters": {
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"lang": {
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"type": "string",
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"description": "The programming language of this piece of code.",
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"enum": ["python", "javascript"],
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"required": True,
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},
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"script": {"type": "string", "description": "A piece of code in right format. There MUST be main function.", "required": True},
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},
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}
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super().__init__()
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self.lang = Language.PYTHON.value
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self.script = 'def main(arg1: str, arg2: str) -> dict: return {"result": arg1 + arg2}'
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self.arguments = {}
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self.outputs = {"result": {"value": "", "type": "string"}}
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def check(self):
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self.check_valid_value(self.lang, "Support languages", ["python", "python3", "nodejs", "javascript"])
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self.check_empty(self.script, "Script")
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def get_input_form(self) -> dict[str, dict]:
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res = {}
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for k, v in self.arguments.items():
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res[k] = {"type": "line", "name": k}
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return res
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class CodeExec(ToolBase, ABC):
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component_name = "CodeExec"
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@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10 * 60)))
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def _invoke(self, **kwargs):
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if self.check_if_canceled("CodeExec processing"):
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return
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lang = kwargs.get("lang", self._param.lang)
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script = kwargs.get("script", self._param.script)
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arguments = {}
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for k, v in self._param.arguments.items():
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if kwargs.get(k):
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arguments[k] = kwargs[k]
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continue
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arguments[k] = self._canvas.get_variable_value(v) if v else None
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self._execute_code(language=lang, code=script, arguments=arguments)
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def _execute_code(self, language: str, code: str, arguments: dict):
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import requests
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if self.check_if_canceled("CodeExec execution"):
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return
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try:
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code_b64 = self._encode_code(code)
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code_req = CodeExecutionRequest(code_b64=code_b64, language=language, arguments=arguments).model_dump()
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except Exception as e:
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if self.check_if_canceled("CodeExec execution"):
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return
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self.set_output("_ERROR", "construct code request error: " + str(e))
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try:
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if self.check_if_canceled("CodeExec execution"):
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return "Task has been canceled"
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resp = requests.post(url=f"http://{settings.SANDBOX_HOST}:9385/run", json=code_req, timeout=int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10 * 60)))
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logging.info(f"http://{settings.SANDBOX_HOST}:9385/run, code_req: {code_req}, resp.status_code {resp.status_code}:")
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if self.check_if_canceled("CodeExec execution"):
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return "Task has been canceled"
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if resp.status_code != 200:
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resp.raise_for_status()
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body = resp.json()
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if body:
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stderr = body.get("stderr")
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if stderr:
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self.set_output("_ERROR", stderr)
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return
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raw_stdout = body.get("stdout", "")
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parsed_stdout = self._deserialize_stdout(raw_stdout)
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logging.info(f"[CodeExec]: http://{settings.SANDBOX_HOST}:9385/run -> {parsed_stdout}")
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self._populate_outputs(parsed_stdout, raw_stdout)
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else:
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self.set_output("_ERROR", "There is no response from sandbox")
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except Exception as e:
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if self.check_if_canceled("CodeExec execution"):
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return
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self.set_output("_ERROR", "Exception executing code: " + str(e))
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return self.output()
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def _encode_code(self, code: str) -> str:
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return base64.b64encode(code.encode("utf-8")).decode("utf-8")
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def thoughts(self) -> str:
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return "Running a short script to process data."
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def _deserialize_stdout(self, stdout: str):
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text = str(stdout).strip()
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if not text:
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return ""
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for loader in (json.loads, ast.literal_eval):
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try:
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return loader(text)
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except Exception:
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continue
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return text
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def _coerce_output_value(self, value, expected_type: Optional[str]):
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if expected_type is None:
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return value
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etype = expected_type.strip().lower()
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inner_type = None
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if etype.startswith("array<") and etype.endswith(">"):
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inner_type = etype[6:-1].strip()
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etype = "array"
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try:
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if etype == "string":
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return "" if value is None else str(value)
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if etype == "number":
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if value is None or value == "":
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return None
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if isinstance(value, (int, float)):
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return value
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if isinstance(value, str):
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try:
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return float(value)
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except Exception:
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return value
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return float(value)
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if etype == "boolean":
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if isinstance(value, bool):
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return value
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if isinstance(value, str):
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lv = value.lower()
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if lv in ("true", "1", "yes", "y", "on"):
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return True
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if lv in ("false", "0", "no", "n", "off"):
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return False
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return bool(value)
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if etype == "array":
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candidate = value
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if isinstance(candidate, str):
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parsed = self._deserialize_stdout(candidate)
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candidate = parsed
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if isinstance(candidate, tuple):
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candidate = list(candidate)
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if not isinstance(candidate, list):
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candidate = [] if candidate is None else [candidate]
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if inner_type == "string":
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return ["" if v is None else str(v) for v in candidate]
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if inner_type == "number":
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coerced = []
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for v in candidate:
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try:
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if v is None or v == "":
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coerced.append(None)
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elif isinstance(v, (int, float)):
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coerced.append(v)
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else:
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coerced.append(float(v))
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except Exception:
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coerced.append(v)
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return coerced
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return candidate
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if etype == "object":
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if isinstance(value, dict):
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return value
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if isinstance(value, str):
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parsed = self._deserialize_stdout(value)
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if isinstance(parsed, dict):
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return parsed
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return value
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except Exception:
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return value
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return value
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def _populate_outputs(self, parsed_stdout, raw_stdout: str):
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outputs_items = list(self._param.outputs.items())
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logging.info(f"[CodeExec]: outputs schema keys: {[k for k, _ in outputs_items]}")
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if not outputs_items:
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return
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if isinstance(parsed_stdout, dict):
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for key, meta in outputs_items:
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if key.startswith("_"):
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continue
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val = self._get_by_path(parsed_stdout, key)
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coerced = self._coerce_output_value(val, meta.get("type"))
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logging.info(f"[CodeExec]: populate dict key='{key}' raw='{val}' coerced='{coerced}'")
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self.set_output(key, coerced)
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return
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if isinstance(parsed_stdout, (list, tuple)):
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for idx, (key, meta) in enumerate(outputs_items):
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if key.startswith("_"):
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continue
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val = parsed_stdout[idx] if idx < len(parsed_stdout) else None
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coerced = self._coerce_output_value(val, meta.get("type"))
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logging.info(f"[CodeExec]: populate list key='{key}' raw='{val}' coerced='{coerced}'")
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self.set_output(key, coerced)
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return
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default_val = parsed_stdout if parsed_stdout is not None else raw_stdout
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for idx, (key, meta) in enumerate(outputs_items):
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if key.startswith("_"):
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continue
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val = default_val if idx == 0 else None
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coerced = self._coerce_output_value(val, meta.get("type"))
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logging.info(f"[CodeExec]: populate scalar key='{key}' raw='{val}' coerced='{coerced}'")
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self.set_output(key, coerced)
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def _get_by_path(self, data, path: str):
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if not path:
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return None
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cur = data
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for part in path.split("."):
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part = part.strip()
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if not part:
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return None
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if isinstance(cur, dict):
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cur = cur.get(part)
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elif isinstance(cur, list):
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try:
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idx = int(part)
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cur = cur[idx]
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except Exception:
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return None
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else:
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return None
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if cur is None:
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return None
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logging.info(f"[CodeExec]: resolve path '{path}' -> {cur}")
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return cur
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