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125 lines
4.1 KiB
Python
125 lines
4.1 KiB
Python
# ======== from tools/honeycomb_traces_tool/ ========
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"""Honeycomb trace/span query tool."""
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from __future__ import annotations
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from typing import Any
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from core.tool_framework.base import BaseTool
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from integrations.config_models import HoneycombIntegrationConfig
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from integrations.honeycomb.client import HoneycombClient
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def _honeycomb_available(sources: dict) -> bool:
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honeycomb = sources.get("honeycomb", {})
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return bool(
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honeycomb.get("connection_verified")
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and (honeycomb.get("service_name") or honeycomb.get("trace_id"))
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)
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def _honeycomb_creds(honeycomb: dict) -> dict[str, Any]:
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return {
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"dataset": honeycomb.get("dataset", "__all__"),
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"honeycomb_api_key": honeycomb.get("honeycomb_api_key"),
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"honeycomb_base_url": honeycomb.get("honeycomb_base_url", "https://api.honeycomb.io"),
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}
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class HoneycombTracesTool(BaseTool):
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"""Query Honeycomb for trace/span groups related to an incident."""
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name = "query_honeycomb_traces"
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source = "honeycomb"
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description = "Query Honeycomb for trace/span groups related to an incident."
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use_cases = [
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"Investigating failing or slow distributed traces in Honeycomb",
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"Looking up spans for a specific trace ID",
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"Checking whether one service is producing anomalous spans during an incident",
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]
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requires = []
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input_schema = {
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"type": "object",
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"properties": {
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"dataset": {"type": "string"},
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"service_name": {"type": "string"},
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"trace_id": {"type": "string"},
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"time_range_seconds": {"type": "integer", "default": 3600},
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"limit": {"type": "integer", "default": 20},
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"honeycomb_api_key": {"type": "string"},
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"honeycomb_base_url": {"type": "string", "default": "https://api.honeycomb.io"},
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},
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"required": ["dataset"],
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}
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def is_available(self, sources: dict) -> bool:
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return _honeycomb_available(sources)
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def extract_params(self, sources: dict) -> dict[str, Any]:
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honeycomb = sources["honeycomb"]
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return {
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"service_name": honeycomb.get("service_name", ""),
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"trace_id": honeycomb.get("trace_id", ""),
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"time_range_seconds": honeycomb.get("time_range_seconds", 3600),
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"limit": 20,
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**_honeycomb_creds(honeycomb),
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}
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def run(
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self,
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dataset: str,
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service_name: str = "",
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trace_id: str = "",
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time_range_seconds: int = 3600,
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limit: int = 20,
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honeycomb_api_key: str | None = None,
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honeycomb_base_url: str = "https://api.honeycomb.io",
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**_kwargs: Any,
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) -> dict[str, Any]:
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config = HoneycombIntegrationConfig.model_validate(
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{
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"api_key": honeycomb_api_key or "",
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"dataset": dataset,
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"base_url": honeycomb_base_url,
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}
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)
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client = HoneycombClient(config)
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if not client.is_configured:
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return {
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"source": "honeycomb",
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"available": False,
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"error": "Honeycomb integration is not configured.",
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"traces": [],
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}
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result = client.query_traces(
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service_name=service_name,
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trace_id=trace_id,
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time_range_seconds=time_range_seconds,
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limit=limit,
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)
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if not result.get("success"):
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return {
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"source": "honeycomb",
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"available": False,
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"error": result.get("error", "Unknown error"),
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"traces": [],
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}
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traces = result.get("results", [])
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return {
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"source": "honeycomb",
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"available": True,
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"traces": traces,
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"total_traces": len(traces),
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"dataset": dataset,
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"service_name": service_name,
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"trace_id": trace_id,
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"query_url": result.get("query_url", ""),
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"query_result_id": result.get("query_result_id", ""),
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}
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query_honeycomb_traces = HoneycombTracesTool()
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