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Upload trace_tool.py
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examples/tools/trace/trace_tool.py
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import aworld.trace as trace
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import aworld.trace.instrumentation.semconv as semconv
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from aworld.trace.server import get_trace_server
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from aworld.trace.server.util import build_trace_tree
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from aworld.core.tool.base import Tool, AgentInput, ToolFactory
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from examples.tools.tool_action import GetTraceAction
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from aworld.tools.utils import build_observation
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from aworld.config.conf import ToolConfig
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from aworld.core.common import Observation, ActionModel, ActionResult
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from typing import Tuple, Dict, Any, List
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from aworld.logs.util import logger
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@ToolFactory.register(name="trace",
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desc="Get the trace of the current execution.",
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supported_action=GetTraceAction,
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conf_file_name=f'trace_tool.yaml')
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class TraceTool(Tool):
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def __init__(self,
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conf: ToolConfig,
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**kwargs) -> None:
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"""
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Initialize the TraceTool
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Args:
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conf: tool config
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**kwargs: -
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Return:
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None
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"""
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super(TraceTool, self).__init__(conf, **kwargs)
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self.type = "function"
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self.get_trace_url = self.conf.get('get_trace_url')
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def reset(self,
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*,
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seed: int | None = None,
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options: Dict[str, str] | None = None) -> Tuple[AgentInput, dict[str, Any]]:
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"""
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Reset the executor
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Args:
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seed: -
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options: -
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Returns:
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AgentInput, dict[str, Any]: -
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"""
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self._finished = False
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return build_observation(observer=self.name(),
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ability=GetTraceAction.GET_TRACE.value.name), {}
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def close(self) -> None:
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"""
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Close the executor
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Returns:
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None
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"""
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self._finished = True
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def do_step(self,
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actions: List[ActionModel],
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**kwargs) -> Tuple[Observation, float, bool, bool, dict[str, Any]]:
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reward = 0
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fail_error = ""
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observation = build_observation(observer=self.name(),
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ability=GetTraceAction.GET_TRACE.value.name)
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results = []
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try:
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if not actions:
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return (observation, reward,
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kwargs.get("terminated",
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False), kwargs.get("truncated", False), {
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"exception": "actions is empty"
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})
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for action in actions:
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trace_id = action.params.get("trace_id", "")
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if not trace_id:
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current_span = trace.get_current_span()
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if current_span:
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trace_id = current_span.get_trace_id()
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if not trace_id:
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logger.warning(f"{action} no trace_id to fetch.")
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observation.action_result.append(
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ActionResult(is_done=True,
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success=False,
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content="",
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error="no trace_id to fetch",
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keep=False))
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continue
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try:
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trace_data = self.fetch_trace_data(trace_id)
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logger.info(f"trace_data={trace_data}")
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error = ""
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except Exception as e:
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error = str(e)
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results.append(trace_data)
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observation.action_result.append(
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ActionResult(is_done=True,
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success=False if error else True,
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content=f"{trace_data}",
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error=f"{error}",
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keep=False))
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observation.content = f"{results}"
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reward = 1
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except Exception as e:
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fail_error = str(e)
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finally:
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self._finished = True
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info = {"exception": fail_error}
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info.update(kwargs)
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return (observation, reward, kwargs.get("terminated", False),
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kwargs.get("truncated", False), info)
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def fetch_trace_data(self, trace_id=None):
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'''
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fetch trace data from trace server.
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return trace data, like:
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{
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'trace_id': trace_id,
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'root_span': [],
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}
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'''
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try:
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if trace_id:
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trace_server = get_trace_server()
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if not trace_server:
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logger.error("No memory trace server has been set.")
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else:
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trace_storage = trace_server.get_storage()
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spans = trace_storage.get_all_spans(trace_id)
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if spans:
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return self.proccess_trace(build_trace_tree(spans))
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return {"trace_id": trace_id, "root_span": []}
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except Exception as e:
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logger.error(f"Error fetching trace data: {e}")
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return {"trace_id": trace_id, "root_span": []}
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def proccess_trace(self, trace_data):
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root_spans = trace_data.get("root_span")
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for span in root_spans:
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self.choose_attribute(span)
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return trace_data
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def choose_attribute(self, span):
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include_attr = [semconv.GEN_AI_USAGE_INPUT_TOKENS,
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semconv.GEN_AI_USAGE_OUTPUT_TOKENS, semconv.GEN_AI_USAGE_TOTAL_TOKENS]
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result_attributes = {}
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origin_attributes = span.get("attributes") or {}
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for key, value in origin_attributes.items():
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if key in include_attr:
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result_attributes[key] = value
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span["attributes"] = result_attributes
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if span.get("children"):
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for child in span.get("children"):
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self.choose_attribute(child)
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