mirror of
https://github.com/langgenius/dify.git
synced 2026-05-05 09:58:04 +08:00
refactor(telemetry): introduce TelemetryFacade to centralize event emission
Migrate from direct TraceQueueManager.add_trace_task calls to TelemetryFacade.emit with TelemetryEvent abstraction. This reduces CE code invasion by consolidating telemetry logic in core/telemetry/ with a single guard in ops_trace_manager.py.
This commit is contained in:
@ -3,8 +3,7 @@ from __future__ import annotations
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from collections.abc import Mapping
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from typing import Any
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from core.ops.entities.trace_entity import TraceTaskName
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from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
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from core.telemetry import TelemetryContext, TelemetryEvent, TelemetryFacade
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from core.workflow.enums import WorkflowNodeExecutionMetadataKey
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from enterprise.telemetry.exporter import is_enterprise_telemetry_enabled
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from models.workflow import WorkflowNodeExecutionModel
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@ -20,16 +19,20 @@ def enqueue_draft_node_execution_trace(
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if not is_enterprise_telemetry_enabled():
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return
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trace_manager = TraceQueueManager(app_id=execution.app_id, user_id=user_id)
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node_data = _build_node_execution_data(
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execution=execution,
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outputs=outputs,
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workflow_execution_id=workflow_execution_id,
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)
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trace_manager.add_trace_task(
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TraceTask(
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TraceTaskName.DRAFT_NODE_EXECUTION_TRACE,
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node_execution_data=node_data,
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TelemetryFacade.emit(
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TelemetryEvent(
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name="draft_node_execution",
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context=TelemetryContext(
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tenant_id=execution.tenant_id,
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user_id=user_id,
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app_id=execution.app_id,
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),
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payload={"node_execution_data": node_data},
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)
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)
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@ -12,7 +12,9 @@ from __future__ import annotations
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import json
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import logging
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from typing import Any
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from typing import Any, cast
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from opentelemetry.util.types import AttributeValue
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from core.ops.entities.trace_entity import (
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BaseTraceInfo,
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@ -75,16 +77,51 @@ class EnterpriseOtelTrace:
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self._prompt_generation_trace(trace_info)
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def _common_attrs(self, trace_info: BaseTraceInfo) -> dict[str, Any]:
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metadata = self._metadata(trace_info)
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tenant_id, app_id, user_id = self._context_ids(trace_info, metadata)
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return {
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"dify.trace_id": trace_info.trace_id,
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"dify.tenant_id": trace_info.metadata.get("tenant_id"),
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"dify.app_id": trace_info.metadata.get("app_id"),
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"dify.app.name": trace_info.metadata.get("app_name"),
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"dify.workspace.name": trace_info.metadata.get("workspace_name"),
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"gen_ai.user.id": trace_info.metadata.get("user_id"),
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"dify.tenant_id": tenant_id,
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"dify.app_id": app_id,
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"dify.app.name": metadata.get("app_name"),
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"dify.workspace.name": metadata.get("workspace_name"),
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"gen_ai.user.id": user_id,
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"dify.message.id": trace_info.message_id,
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}
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def _metadata(self, trace_info: BaseTraceInfo) -> dict[str, Any]:
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return trace_info.metadata
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def _context_ids(
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self,
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trace_info: BaseTraceInfo,
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metadata: dict[str, Any],
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) -> tuple[str | None, str | None, str | None]:
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tenant_id = getattr(trace_info, "tenant_id", None) or metadata.get("tenant_id")
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app_id = getattr(trace_info, "app_id", None) or metadata.get("app_id")
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user_id = getattr(trace_info, "user_id", None) or metadata.get("user_id")
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return tenant_id, app_id, user_id
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def _labels(self, **values: AttributeValue) -> dict[str, AttributeValue]:
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return dict(values)
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def _safe_payload_value(self, value: Any) -> str | dict[str, Any] | list[object] | None:
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if isinstance(value, str):
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return value
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if isinstance(value, dict):
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return cast(dict[str, Any], value)
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if isinstance(value, list):
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items: list[object] = []
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for item in cast(list[object], value):
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items.append(item)
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return items
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return None
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def _content_or_ref(self, value: Any, ref: str) -> Any:
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if self._exporter.include_content:
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return self._maybe_json(value)
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return ref
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def _maybe_json(self, value: Any) -> str | None:
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if value is None:
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return None
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@ -100,17 +137,19 @@ class EnterpriseOtelTrace:
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# ------------------------------------------------------------------
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def _workflow_trace(self, info: WorkflowTraceInfo) -> None:
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metadata = self._metadata(info)
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tenant_id, app_id, user_id = self._context_ids(info, metadata)
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# -- Slim span attrs: identity + structure + status + timing only --
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span_attrs: dict[str, Any] = {
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"dify.trace_id": info.trace_id,
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"dify.tenant_id": info.metadata.get("tenant_id"),
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"dify.app_id": info.metadata.get("app_id"),
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"dify.tenant_id": tenant_id,
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"dify.app_id": app_id,
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"dify.workflow.id": info.workflow_id,
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"dify.workflow.run_id": info.workflow_run_id,
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"dify.workflow.status": info.workflow_run_status,
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"dify.workflow.error": info.error,
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"dify.workflow.elapsed_time": info.workflow_run_elapsed_time,
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"dify.invoke_from": info.metadata.get("triggered_from"),
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"dify.invoke_from": metadata.get("triggered_from"),
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"dify.conversation.id": info.conversation_id,
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"dify.message.id": info.message_id,
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"dify.invoked_by": info.invoked_by,
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@ -119,15 +158,20 @@ class EnterpriseOtelTrace:
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trace_correlation_override: str | None = None
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parent_span_id_source: str | None = None
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parent_ctx = info.metadata.get("parent_trace_context")
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if parent_ctx and isinstance(parent_ctx, dict):
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span_attrs["dify.parent.trace_id"] = parent_ctx.get("trace_id")
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span_attrs["dify.parent.node.execution_id"] = parent_ctx.get("parent_node_execution_id")
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span_attrs["dify.parent.workflow.run_id"] = parent_ctx.get("parent_workflow_run_id")
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span_attrs["dify.parent.app.id"] = parent_ctx.get("parent_app_id")
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parent_ctx = metadata.get("parent_trace_context")
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if isinstance(parent_ctx, dict):
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parent_ctx_dict = cast(dict[str, Any], parent_ctx)
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span_attrs["dify.parent.trace_id"] = parent_ctx_dict.get("trace_id")
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span_attrs["dify.parent.node.execution_id"] = parent_ctx_dict.get("parent_node_execution_id")
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span_attrs["dify.parent.workflow.run_id"] = parent_ctx_dict.get("parent_workflow_run_id")
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span_attrs["dify.parent.app.id"] = parent_ctx_dict.get("parent_app_id")
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trace_correlation_override = parent_ctx.get("parent_workflow_run_id")
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parent_span_id_source = parent_ctx.get("parent_node_execution_id")
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trace_override_value = parent_ctx_dict.get("parent_workflow_run_id")
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if isinstance(trace_override_value, str):
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trace_correlation_override = trace_override_value
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parent_span_value = parent_ctx_dict.get("parent_node_execution_id")
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if isinstance(parent_span_value, str):
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parent_span_id_source = parent_span_value
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self._exporter.export_span(
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EnterpriseTelemetrySpan.WORKFLOW_RUN,
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@ -144,23 +188,18 @@ class EnterpriseOtelTrace:
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log_attrs: dict[str, Any] = {**span_attrs}
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log_attrs.update(
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{
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"dify.app.name": info.metadata.get("app_name"),
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"dify.workspace.name": info.metadata.get("workspace_name"),
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"gen_ai.user.id": info.metadata.get("user_id"),
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"dify.app.name": metadata.get("app_name"),
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"dify.workspace.name": metadata.get("workspace_name"),
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"gen_ai.user.id": user_id,
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"gen_ai.usage.total_tokens": info.total_tokens,
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"dify.workflow.version": info.workflow_run_version,
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}
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)
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if self._exporter.include_content:
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log_attrs["dify.workflow.inputs"] = self._maybe_json(info.workflow_run_inputs)
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log_attrs["dify.workflow.outputs"] = self._maybe_json(info.workflow_run_outputs)
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log_attrs["dify.workflow.query"] = info.query
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else:
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ref = f"ref:workflow_run_id={info.workflow_run_id}"
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log_attrs["dify.workflow.inputs"] = ref
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log_attrs["dify.workflow.outputs"] = ref
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log_attrs["dify.workflow.query"] = ref
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ref = f"ref:workflow_run_id={info.workflow_run_id}"
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log_attrs["dify.workflow.inputs"] = self._content_or_ref(info.workflow_run_inputs, ref)
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log_attrs["dify.workflow.outputs"] = self._content_or_ref(info.workflow_run_outputs, ref)
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log_attrs["dify.workflow.query"] = self._content_or_ref(info.query, ref)
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emit_telemetry_log(
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event_name="dify.workflow.run",
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@ -168,34 +207,49 @@ class EnterpriseOtelTrace:
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signal="span_detail",
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trace_id_source=info.workflow_run_id,
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span_id_source=info.workflow_run_id,
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tenant_id=info.metadata.get("tenant_id"),
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user_id=info.metadata.get("user_id"),
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tenant_id=tenant_id,
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user_id=user_id,
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)
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# -- Metrics --
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labels = {
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"tenant_id": info.tenant_id,
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"app_id": info.metadata.get("app_id", ""),
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}
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labels = self._labels(
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tenant_id=tenant_id or "",
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app_id=app_id or "",
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)
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self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, labels)
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if info.prompt_tokens is not None and info.prompt_tokens > 0:
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self._exporter.increment_counter(EnterpriseTelemetryCounter.INPUT_TOKENS, info.prompt_tokens, labels)
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if info.completion_tokens is not None and info.completion_tokens > 0:
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self._exporter.increment_counter(EnterpriseTelemetryCounter.OUTPUT_TOKENS, info.completion_tokens, labels)
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invoke_from = info.metadata.get("triggered_from", "")
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invoke_from = metadata.get("triggered_from", "")
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self._exporter.increment_counter(
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EnterpriseTelemetryCounter.REQUESTS,
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1,
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{**labels, "type": "workflow", "status": info.workflow_run_status, "invoke_from": invoke_from},
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self._labels(
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**labels,
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type="workflow",
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status=info.workflow_run_status,
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invoke_from=invoke_from,
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),
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)
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self._exporter.record_histogram(
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EnterpriseTelemetryHistogram.WORKFLOW_DURATION,
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float(info.workflow_run_elapsed_time),
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{**labels, "status": info.workflow_run_status},
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self._labels(
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**labels,
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status=info.workflow_run_status,
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),
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)
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if info.error:
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self._exporter.increment_counter(EnterpriseTelemetryCounter.ERRORS, 1, {**labels, "type": "workflow"})
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self._exporter.increment_counter(
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EnterpriseTelemetryCounter.ERRORS,
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1,
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self._labels(
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**labels,
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type="workflow",
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),
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)
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def _node_execution_trace(self, info: WorkflowNodeTraceInfo) -> None:
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self._emit_node_execution_trace(info, EnterpriseTelemetrySpan.NODE_EXECUTION, "node")
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@ -217,15 +271,17 @@ class EnterpriseOtelTrace:
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correlation_id_override: str | None = None,
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trace_correlation_override_param: str | None = None,
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) -> None:
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metadata = self._metadata(info)
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tenant_id, app_id, user_id = self._context_ids(info, metadata)
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# -- Slim span attrs: identity + structure + status + timing --
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span_attrs: dict[str, Any] = {
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"dify.trace_id": info.trace_id,
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"dify.tenant_id": info.tenant_id,
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"dify.app_id": info.metadata.get("app_id"),
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"dify.tenant_id": tenant_id,
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"dify.app_id": app_id,
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"dify.workflow.id": info.workflow_id,
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"dify.workflow.run_id": info.workflow_run_id,
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"dify.message.id": info.message_id,
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"dify.conversation.id": info.metadata.get("conversation_id"),
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"dify.conversation.id": metadata.get("conversation_id"),
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"dify.node.execution_id": info.node_execution_id,
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"dify.node.id": info.node_id,
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"dify.node.type": info.node_type,
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@ -242,9 +298,12 @@ class EnterpriseOtelTrace:
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}
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trace_correlation_override = trace_correlation_override_param
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parent_ctx = info.metadata.get("parent_trace_context")
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if parent_ctx and isinstance(parent_ctx, dict):
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trace_correlation_override = parent_ctx.get("parent_workflow_run_id") or trace_correlation_override
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parent_ctx = metadata.get("parent_trace_context")
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if isinstance(parent_ctx, dict):
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parent_ctx_dict = cast(dict[str, Any], parent_ctx)
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override_value = parent_ctx_dict.get("parent_workflow_run_id")
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if isinstance(override_value, str):
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trace_correlation_override = override_value
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effective_correlation_id = correlation_id_override or info.workflow_run_id
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self._exporter.export_span(
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@ -261,10 +320,10 @@ class EnterpriseOtelTrace:
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log_attrs: dict[str, Any] = {**span_attrs}
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log_attrs.update(
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{
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"dify.app.name": info.metadata.get("app_name"),
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"dify.workspace.name": info.metadata.get("workspace_name"),
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"dify.invoke_from": info.metadata.get("invoke_from"),
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"gen_ai.user.id": info.metadata.get("user_id"),
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"dify.app.name": metadata.get("app_name"),
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"dify.workspace.name": metadata.get("workspace_name"),
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"dify.invoke_from": metadata.get("invoke_from"),
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"gen_ai.user.id": user_id,
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"gen_ai.usage.total_tokens": info.total_tokens,
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"dify.node.total_price": info.total_price,
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"dify.node.currency": info.currency,
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@ -273,22 +332,17 @@ class EnterpriseOtelTrace:
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"gen_ai.tool.name": info.tool_name,
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"dify.node.iteration_index": info.iteration_index,
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"dify.node.loop_index": info.loop_index,
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"dify.plugin.name": info.metadata.get("plugin_name"),
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"dify.credential.name": info.metadata.get("credential_name"),
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"dify.dataset.ids": self._maybe_json(info.metadata.get("dataset_ids")),
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"dify.dataset.names": self._maybe_json(info.metadata.get("dataset_names")),
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"dify.plugin.name": metadata.get("plugin_name"),
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"dify.credential.name": metadata.get("credential_name"),
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"dify.dataset.ids": self._maybe_json(metadata.get("dataset_ids")),
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"dify.dataset.names": self._maybe_json(metadata.get("dataset_names")),
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}
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)
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if self._exporter.include_content:
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log_attrs["dify.node.inputs"] = self._maybe_json(info.node_inputs)
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log_attrs["dify.node.outputs"] = self._maybe_json(info.node_outputs)
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log_attrs["dify.node.process_data"] = self._maybe_json(info.process_data)
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else:
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ref = f"ref:node_execution_id={info.node_execution_id}"
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log_attrs["dify.node.inputs"] = ref
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log_attrs["dify.node.outputs"] = ref
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log_attrs["dify.node.process_data"] = ref
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ref = f"ref:node_execution_id={info.node_execution_id}"
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log_attrs["dify.node.inputs"] = self._content_or_ref(info.node_inputs, ref)
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log_attrs["dify.node.outputs"] = self._content_or_ref(info.node_outputs, ref)
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log_attrs["dify.node.process_data"] = self._content_or_ref(info.process_data, ref)
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emit_telemetry_log(
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event_name=span_name.value,
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@ -296,19 +350,22 @@ class EnterpriseOtelTrace:
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signal="span_detail",
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trace_id_source=info.workflow_run_id,
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span_id_source=info.node_execution_id,
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tenant_id=info.tenant_id,
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user_id=info.metadata.get("user_id"),
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tenant_id=tenant_id,
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user_id=user_id,
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)
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# -- Metrics --
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labels = {
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"tenant_id": info.tenant_id,
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"app_id": info.metadata.get("app_id", ""),
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"node_type": info.node_type,
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"model_provider": info.model_provider or "",
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}
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labels = self._labels(
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tenant_id=tenant_id or "",
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app_id=app_id or "",
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node_type=info.node_type,
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model_provider=info.model_provider or "",
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)
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if info.total_tokens:
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token_labels = {**labels, "model_name": info.model_name or ""}
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token_labels = self._labels(
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**labels,
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model_name=info.model_name or "",
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)
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self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, token_labels)
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if info.prompt_tokens is not None and info.prompt_tokens > 0:
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self._exporter.increment_counter(
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@ -319,76 +376,95 @@ class EnterpriseOtelTrace:
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EnterpriseTelemetryCounter.OUTPUT_TOKENS, info.completion_tokens, token_labels
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)
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self._exporter.increment_counter(
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EnterpriseTelemetryCounter.REQUESTS, 1, {**labels, "type": request_type, "status": info.status}
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EnterpriseTelemetryCounter.REQUESTS,
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1,
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self._labels(
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**labels,
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type=request_type,
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status=info.status,
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),
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)
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duration_labels = dict(labels)
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plugin_name = info.metadata.get("plugin_name")
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plugin_name = metadata.get("plugin_name")
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if plugin_name and info.node_type in {"tool", "knowledge-retrieval"}:
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duration_labels["plugin_name"] = plugin_name
|
||||
self._exporter.record_histogram(EnterpriseTelemetryHistogram.NODE_DURATION, info.elapsed_time, duration_labels)
|
||||
|
||||
if info.error:
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.ERRORS, 1, {**labels, "type": request_type})
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.ERRORS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type=request_type,
|
||||
),
|
||||
)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# METRIC-ONLY handlers (structured log + counters/histograms)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _message_trace(self, info: MessageTraceInfo) -> None:
|
||||
metadata = self._metadata(info)
|
||||
tenant_id, app_id, user_id = self._context_ids(info, metadata)
|
||||
attrs = self._common_attrs(info)
|
||||
attrs.update(
|
||||
{
|
||||
"dify.invoke_from": info.metadata.get("from_source"),
|
||||
"dify.conversation.id": info.metadata.get("conversation_id"),
|
||||
"dify.invoke_from": metadata.get("from_source"),
|
||||
"dify.conversation.id": metadata.get("conversation_id"),
|
||||
"dify.conversation.mode": info.conversation_mode,
|
||||
"gen_ai.provider.name": info.metadata.get("ls_provider"),
|
||||
"gen_ai.request.model": info.metadata.get("ls_model_name"),
|
||||
"gen_ai.provider.name": metadata.get("ls_provider"),
|
||||
"gen_ai.request.model": metadata.get("ls_model_name"),
|
||||
"gen_ai.usage.input_tokens": info.message_tokens,
|
||||
"gen_ai.usage.output_tokens": info.answer_tokens,
|
||||
"gen_ai.usage.total_tokens": info.total_tokens,
|
||||
"dify.message.status": info.metadata.get("status"),
|
||||
"dify.message.status": metadata.get("status"),
|
||||
"dify.message.error": info.error,
|
||||
"dify.message.from_source": info.metadata.get("from_source"),
|
||||
"dify.message.from_end_user_id": info.metadata.get("from_end_user_id"),
|
||||
"dify.message.from_account_id": info.metadata.get("from_account_id"),
|
||||
"dify.message.from_source": metadata.get("from_source"),
|
||||
"dify.message.from_end_user_id": metadata.get("from_end_user_id"),
|
||||
"dify.message.from_account_id": metadata.get("from_account_id"),
|
||||
"dify.streaming": info.is_streaming_request,
|
||||
"dify.message.time_to_first_token": info.gen_ai_server_time_to_first_token,
|
||||
"dify.message.streaming_duration": info.llm_streaming_time_to_generate,
|
||||
"dify.workflow.run_id": info.metadata.get("workflow_run_id"),
|
||||
"dify.workflow.run_id": metadata.get("workflow_run_id"),
|
||||
}
|
||||
)
|
||||
if info.metadata.get("node_execution_id"):
|
||||
attrs["dify.node.execution_id"] = info.metadata.get("node_execution_id")
|
||||
node_execution_id = metadata.get("node_execution_id")
|
||||
if node_execution_id:
|
||||
attrs["dify.node.execution_id"] = node_execution_id
|
||||
|
||||
if self._exporter.include_content:
|
||||
attrs["dify.message.inputs"] = self._maybe_json(info.inputs)
|
||||
attrs["dify.message.outputs"] = self._maybe_json(info.outputs)
|
||||
else:
|
||||
ref = f"ref:message_id={info.message_id}"
|
||||
attrs["dify.message.inputs"] = ref
|
||||
attrs["dify.message.outputs"] = ref
|
||||
ref = f"ref:message_id={info.message_id}"
|
||||
inputs = self._safe_payload_value(info.inputs)
|
||||
outputs = self._safe_payload_value(info.outputs)
|
||||
attrs["dify.message.inputs"] = self._content_or_ref(inputs, ref)
|
||||
attrs["dify.message.outputs"] = self._content_or_ref(outputs, ref)
|
||||
|
||||
emit_metric_only_event(
|
||||
event_name="dify.message.run",
|
||||
attributes=attrs,
|
||||
trace_id_source=info.metadata.get("workflow_run_id") or str(info.message_id) if info.message_id else None,
|
||||
span_id_source=info.metadata.get("node_execution_id"),
|
||||
tenant_id=info.metadata.get("tenant_id"),
|
||||
user_id=info.metadata.get("user_id"),
|
||||
trace_id_source=metadata.get("workflow_run_id") or str(info.message_id) if info.message_id else None,
|
||||
span_id_source=node_execution_id,
|
||||
tenant_id=tenant_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
labels = {
|
||||
"tenant_id": info.metadata.get("tenant_id", ""),
|
||||
"app_id": info.metadata.get("app_id", ""),
|
||||
"model_provider": info.metadata.get("ls_provider", ""),
|
||||
"model_name": info.metadata.get("ls_model_name", ""),
|
||||
}
|
||||
labels = self._labels(
|
||||
tenant_id=tenant_id or "",
|
||||
app_id=app_id or "",
|
||||
model_provider=metadata.get("ls_provider", ""),
|
||||
model_name=metadata.get("ls_model_name", ""),
|
||||
)
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, labels)
|
||||
invoke_from = info.metadata.get("from_source", "")
|
||||
invoke_from = metadata.get("from_source", "")
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.REQUESTS,
|
||||
1,
|
||||
{**labels, "type": "message", "status": info.metadata.get("status", ""), "invoke_from": invoke_from},
|
||||
self._labels(
|
||||
**labels,
|
||||
type="message",
|
||||
status=metadata.get("status", ""),
|
||||
invoke_from=invoke_from,
|
||||
),
|
||||
)
|
||||
|
||||
if info.start_time and info.end_time:
|
||||
@ -401,82 +477,115 @@ class EnterpriseOtelTrace:
|
||||
)
|
||||
|
||||
if info.error:
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.ERRORS, 1, {**labels, "type": "message"})
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.ERRORS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type="message",
|
||||
),
|
||||
)
|
||||
|
||||
def _tool_trace(self, info: ToolTraceInfo) -> None:
|
||||
metadata = self._metadata(info)
|
||||
tenant_id, app_id, user_id = self._context_ids(info, metadata)
|
||||
attrs = self._common_attrs(info)
|
||||
attrs.update(
|
||||
{
|
||||
"gen_ai.tool.name": info.tool_name,
|
||||
"dify.tool.time_cost": info.time_cost,
|
||||
"dify.tool.error": info.error,
|
||||
"dify.workflow.run_id": info.metadata.get("workflow_run_id"),
|
||||
"dify.workflow.run_id": metadata.get("workflow_run_id"),
|
||||
}
|
||||
)
|
||||
if info.metadata.get("node_execution_id"):
|
||||
attrs["dify.node.execution_id"] = info.metadata.get("node_execution_id")
|
||||
node_execution_id = metadata.get("node_execution_id")
|
||||
if node_execution_id:
|
||||
attrs["dify.node.execution_id"] = node_execution_id
|
||||
|
||||
if self._exporter.include_content:
|
||||
attrs["dify.tool.inputs"] = self._maybe_json(info.tool_inputs)
|
||||
attrs["dify.tool.outputs"] = info.tool_outputs
|
||||
attrs["dify.tool.parameters"] = self._maybe_json(info.tool_parameters)
|
||||
attrs["dify.tool.config"] = self._maybe_json(info.tool_config)
|
||||
else:
|
||||
ref = f"ref:message_id={info.message_id}"
|
||||
attrs["dify.tool.inputs"] = ref
|
||||
attrs["dify.tool.outputs"] = ref
|
||||
attrs["dify.tool.parameters"] = ref
|
||||
attrs["dify.tool.config"] = ref
|
||||
ref = f"ref:message_id={info.message_id}"
|
||||
attrs["dify.tool.inputs"] = self._content_or_ref(info.tool_inputs, ref)
|
||||
attrs["dify.tool.outputs"] = self._content_or_ref(info.tool_outputs, ref)
|
||||
attrs["dify.tool.parameters"] = self._content_or_ref(info.tool_parameters, ref)
|
||||
attrs["dify.tool.config"] = self._content_or_ref(info.tool_config, ref)
|
||||
|
||||
emit_metric_only_event(
|
||||
event_name="dify.tool.execution",
|
||||
attributes=attrs,
|
||||
span_id_source=info.metadata.get("node_execution_id"),
|
||||
tenant_id=info.metadata.get("tenant_id"),
|
||||
user_id=info.metadata.get("user_id"),
|
||||
span_id_source=node_execution_id,
|
||||
tenant_id=tenant_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
labels = {
|
||||
"tenant_id": info.metadata.get("tenant_id", ""),
|
||||
"app_id": info.metadata.get("app_id", ""),
|
||||
"tool_name": info.tool_name,
|
||||
}
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.REQUESTS, 1, {**labels, "type": "tool"})
|
||||
labels = self._labels(
|
||||
tenant_id=tenant_id or "",
|
||||
app_id=app_id or "",
|
||||
tool_name=info.tool_name,
|
||||
)
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.REQUESTS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type="tool",
|
||||
),
|
||||
)
|
||||
self._exporter.record_histogram(EnterpriseTelemetryHistogram.TOOL_DURATION, float(info.time_cost), labels)
|
||||
|
||||
if info.error:
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.ERRORS, 1, {**labels, "type": "tool"})
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.ERRORS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type="tool",
|
||||
),
|
||||
)
|
||||
|
||||
def _moderation_trace(self, info: ModerationTraceInfo) -> None:
|
||||
metadata = self._metadata(info)
|
||||
tenant_id, app_id, user_id = self._context_ids(info, metadata)
|
||||
attrs = self._common_attrs(info)
|
||||
attrs.update(
|
||||
{
|
||||
"dify.moderation.flagged": info.flagged,
|
||||
"dify.moderation.action": info.action,
|
||||
"dify.moderation.preset_response": info.preset_response,
|
||||
"dify.workflow.run_id": info.metadata.get("workflow_run_id"),
|
||||
"dify.workflow.run_id": metadata.get("workflow_run_id"),
|
||||
}
|
||||
)
|
||||
if info.metadata.get("node_execution_id"):
|
||||
attrs["dify.node.execution_id"] = info.metadata.get("node_execution_id")
|
||||
node_execution_id = metadata.get("node_execution_id")
|
||||
if node_execution_id:
|
||||
attrs["dify.node.execution_id"] = node_execution_id
|
||||
|
||||
if self._exporter.include_content:
|
||||
attrs["dify.moderation.query"] = info.query
|
||||
else:
|
||||
attrs["dify.moderation.query"] = f"ref:message_id={info.message_id}"
|
||||
attrs["dify.moderation.query"] = self._content_or_ref(
|
||||
info.query,
|
||||
f"ref:message_id={info.message_id}",
|
||||
)
|
||||
|
||||
emit_metric_only_event(
|
||||
event_name="dify.moderation.check",
|
||||
attributes=attrs,
|
||||
span_id_source=info.metadata.get("node_execution_id"),
|
||||
tenant_id=info.metadata.get("tenant_id"),
|
||||
user_id=info.metadata.get("user_id"),
|
||||
span_id_source=node_execution_id,
|
||||
tenant_id=tenant_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
labels = {"tenant_id": info.metadata.get("tenant_id", ""), "app_id": info.metadata.get("app_id", "")}
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.REQUESTS, 1, {**labels, "type": "moderation"})
|
||||
labels = self._labels(
|
||||
tenant_id=tenant_id or "",
|
||||
app_id=app_id or "",
|
||||
)
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.REQUESTS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type="moderation",
|
||||
),
|
||||
)
|
||||
|
||||
def _suggested_question_trace(self, info: SuggestedQuestionTraceInfo) -> None:
|
||||
metadata = self._metadata(info)
|
||||
tenant_id, app_id, user_id = self._context_ids(info, metadata)
|
||||
attrs = self._common_attrs(info)
|
||||
attrs.update(
|
||||
{
|
||||
@ -486,43 +595,62 @@ class EnterpriseOtelTrace:
|
||||
"gen_ai.provider.name": info.model_provider,
|
||||
"gen_ai.request.model": info.model_id,
|
||||
"dify.suggested_question.count": len(info.suggested_question),
|
||||
"dify.workflow.run_id": info.metadata.get("workflow_run_id"),
|
||||
"dify.workflow.run_id": metadata.get("workflow_run_id"),
|
||||
}
|
||||
)
|
||||
if info.metadata.get("node_execution_id"):
|
||||
attrs["dify.node.execution_id"] = info.metadata.get("node_execution_id")
|
||||
node_execution_id = metadata.get("node_execution_id")
|
||||
if node_execution_id:
|
||||
attrs["dify.node.execution_id"] = node_execution_id
|
||||
|
||||
if self._exporter.include_content:
|
||||
attrs["dify.suggested_question.questions"] = self._maybe_json(info.suggested_question)
|
||||
else:
|
||||
attrs["dify.suggested_question.questions"] = f"ref:message_id={info.message_id}"
|
||||
attrs["dify.suggested_question.questions"] = self._content_or_ref(
|
||||
info.suggested_question,
|
||||
f"ref:message_id={info.message_id}",
|
||||
)
|
||||
|
||||
emit_metric_only_event(
|
||||
event_name="dify.suggested_question.generation",
|
||||
attributes=attrs,
|
||||
span_id_source=info.metadata.get("node_execution_id"),
|
||||
tenant_id=info.metadata.get("tenant_id"),
|
||||
user_id=info.metadata.get("user_id"),
|
||||
span_id_source=node_execution_id,
|
||||
tenant_id=tenant_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
labels = {"tenant_id": info.metadata.get("tenant_id", ""), "app_id": info.metadata.get("app_id", "")}
|
||||
labels = self._labels(
|
||||
tenant_id=tenant_id or "",
|
||||
app_id=app_id or "",
|
||||
)
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.REQUESTS, 1, {**labels, "type": "suggested_question"}
|
||||
EnterpriseTelemetryCounter.REQUESTS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type="suggested_question",
|
||||
),
|
||||
)
|
||||
|
||||
def _dataset_retrieval_trace(self, info: DatasetRetrievalTraceInfo) -> None:
|
||||
metadata = self._metadata(info)
|
||||
tenant_id, app_id, user_id = self._context_ids(info, metadata)
|
||||
attrs = self._common_attrs(info)
|
||||
attrs["dify.dataset.error"] = info.error
|
||||
attrs["dify.workflow.run_id"] = info.metadata.get("workflow_run_id")
|
||||
if info.metadata.get("node_execution_id"):
|
||||
attrs["dify.node.execution_id"] = info.metadata.get("node_execution_id")
|
||||
attrs["dify.workflow.run_id"] = metadata.get("workflow_run_id")
|
||||
node_execution_id = metadata.get("node_execution_id")
|
||||
if node_execution_id:
|
||||
attrs["dify.node.execution_id"] = node_execution_id
|
||||
|
||||
docs = info.documents or []
|
||||
docs: list[dict[str, Any]] = []
|
||||
documents_any: Any = info.documents
|
||||
documents_list: list[Any] = cast(list[Any], documents_any) if isinstance(documents_any, list) else []
|
||||
for entry in documents_list:
|
||||
if isinstance(entry, dict):
|
||||
entry_dict: dict[str, Any] = cast(dict[str, Any], entry)
|
||||
docs.append(entry_dict)
|
||||
dataset_ids: list[str] = []
|
||||
dataset_names: list[str] = []
|
||||
structured_docs: list[dict] = []
|
||||
structured_docs: list[dict[str, Any]] = []
|
||||
for doc in docs:
|
||||
meta = doc.get("metadata", {}) if isinstance(doc, dict) else {}
|
||||
meta_raw = doc.get("metadata")
|
||||
meta: dict[str, Any] = cast(dict[str, Any], meta_raw) if isinstance(meta_raw, dict) else {}
|
||||
did = meta.get("dataset_id")
|
||||
dname = meta.get("dataset_name")
|
||||
if did and did not in dataset_ids:
|
||||
@ -542,14 +670,18 @@ class EnterpriseOtelTrace:
|
||||
attrs["dify.dataset.names"] = self._maybe_json(dataset_names)
|
||||
attrs["dify.retrieval.document_count"] = len(docs)
|
||||
|
||||
embedding_models = info.metadata.get("embedding_models") or {}
|
||||
if isinstance(embedding_models, dict):
|
||||
embedding_models_raw: Any = metadata.get("embedding_models")
|
||||
embedding_models: dict[str, Any] = (
|
||||
cast(dict[str, Any], embedding_models_raw) if isinstance(embedding_models_raw, dict) else {}
|
||||
)
|
||||
if embedding_models:
|
||||
providers: list[str] = []
|
||||
models: list[str] = []
|
||||
for ds_info in embedding_models.values():
|
||||
if isinstance(ds_info, dict):
|
||||
p = ds_info.get("embedding_model_provider", "")
|
||||
m = ds_info.get("embedding_model", "")
|
||||
ds_info_dict: dict[str, Any] = cast(dict[str, Any], ds_info)
|
||||
p = ds_info_dict.get("embedding_model_provider", "")
|
||||
m = ds_info_dict.get("embedding_model", "")
|
||||
if p and p not in providers:
|
||||
providers.append(p)
|
||||
if m and m not in models:
|
||||
@ -557,67 +689,89 @@ class EnterpriseOtelTrace:
|
||||
attrs["dify.dataset.embedding_providers"] = self._maybe_json(providers)
|
||||
attrs["dify.dataset.embedding_models"] = self._maybe_json(models)
|
||||
|
||||
if self._exporter.include_content:
|
||||
attrs["dify.retrieval.query"] = self._maybe_json(info.inputs)
|
||||
attrs["dify.dataset.documents"] = self._maybe_json(structured_docs)
|
||||
else:
|
||||
ref = f"ref:message_id={info.message_id}"
|
||||
attrs["dify.retrieval.query"] = ref
|
||||
attrs["dify.dataset.documents"] = ref
|
||||
ref = f"ref:message_id={info.message_id}"
|
||||
retrieval_inputs = self._safe_payload_value(info.inputs)
|
||||
attrs["dify.retrieval.query"] = self._content_or_ref(retrieval_inputs, ref)
|
||||
attrs["dify.dataset.documents"] = self._content_or_ref(structured_docs, ref)
|
||||
|
||||
emit_metric_only_event(
|
||||
event_name="dify.dataset.retrieval",
|
||||
attributes=attrs,
|
||||
trace_id_source=info.metadata.get("workflow_run_id") or str(info.message_id) if info.message_id else None,
|
||||
span_id_source=info.metadata.get("node_execution_id")
|
||||
or (str(info.message_id) if info.message_id else None),
|
||||
tenant_id=info.metadata.get("tenant_id"),
|
||||
user_id=info.metadata.get("user_id"),
|
||||
trace_id_source=metadata.get("workflow_run_id") or str(info.message_id) if info.message_id else None,
|
||||
span_id_source=node_execution_id or (str(info.message_id) if info.message_id else None),
|
||||
tenant_id=tenant_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
labels = {"tenant_id": info.metadata.get("tenant_id", ""), "app_id": info.metadata.get("app_id", "")}
|
||||
labels = self._labels(
|
||||
tenant_id=tenant_id or "",
|
||||
app_id=app_id or "",
|
||||
)
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.REQUESTS, 1, {**labels, "type": "dataset_retrieval"}
|
||||
EnterpriseTelemetryCounter.REQUESTS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type="dataset_retrieval",
|
||||
),
|
||||
)
|
||||
|
||||
for did in dataset_ids:
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.DATASET_RETRIEVALS, 1, {**labels, "dataset_id": did}
|
||||
EnterpriseTelemetryCounter.DATASET_RETRIEVALS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
dataset_id=did,
|
||||
),
|
||||
)
|
||||
|
||||
def _generate_name_trace(self, info: GenerateNameTraceInfo) -> None:
|
||||
metadata = self._metadata(info)
|
||||
tenant_id, app_id, user_id = self._context_ids(info, metadata)
|
||||
attrs = self._common_attrs(info)
|
||||
attrs["dify.conversation.id"] = info.conversation_id
|
||||
if info.metadata.get("node_execution_id"):
|
||||
attrs["dify.node.execution_id"] = info.metadata.get("node_execution_id")
|
||||
node_execution_id = metadata.get("node_execution_id")
|
||||
if node_execution_id:
|
||||
attrs["dify.node.execution_id"] = node_execution_id
|
||||
|
||||
if self._exporter.include_content:
|
||||
attrs["dify.generate_name.inputs"] = self._maybe_json(info.inputs)
|
||||
attrs["dify.generate_name.outputs"] = self._maybe_json(info.outputs)
|
||||
else:
|
||||
ref = f"ref:conversation_id={info.conversation_id}"
|
||||
attrs["dify.generate_name.inputs"] = ref
|
||||
attrs["dify.generate_name.outputs"] = ref
|
||||
ref = f"ref:conversation_id={info.conversation_id}"
|
||||
inputs = self._safe_payload_value(info.inputs)
|
||||
outputs = self._safe_payload_value(info.outputs)
|
||||
attrs["dify.generate_name.inputs"] = self._content_or_ref(inputs, ref)
|
||||
attrs["dify.generate_name.outputs"] = self._content_or_ref(outputs, ref)
|
||||
|
||||
emit_metric_only_event(
|
||||
event_name="dify.generate_name.execution",
|
||||
attributes=attrs,
|
||||
span_id_source=info.metadata.get("node_execution_id"),
|
||||
tenant_id=info.tenant_id,
|
||||
user_id=info.metadata.get("user_id"),
|
||||
span_id_source=node_execution_id,
|
||||
tenant_id=tenant_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
labels = {"tenant_id": info.tenant_id, "app_id": info.metadata.get("app_id", "")}
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.REQUESTS, 1, {**labels, "type": "generate_name"})
|
||||
labels = self._labels(
|
||||
tenant_id=tenant_id or "",
|
||||
app_id=app_id or "",
|
||||
)
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.REQUESTS,
|
||||
1,
|
||||
self._labels(
|
||||
**labels,
|
||||
type="generate_name",
|
||||
),
|
||||
)
|
||||
|
||||
def _prompt_generation_trace(self, info: PromptGenerationTraceInfo) -> None:
|
||||
metadata = self._metadata(info)
|
||||
tenant_id, app_id, user_id = self._context_ids(info, metadata)
|
||||
attrs = {
|
||||
"dify.trace_id": info.trace_id,
|
||||
"dify.tenant_id": info.tenant_id,
|
||||
"dify.user.id": info.user_id,
|
||||
"dify.app.id": info.app_id or "",
|
||||
"dify.app.name": info.metadata.get("app_name"),
|
||||
"dify.workspace.name": info.metadata.get("workspace_name"),
|
||||
"dify.tenant_id": tenant_id,
|
||||
"dify.user.id": user_id,
|
||||
"dify.app.id": app_id or "",
|
||||
"dify.app.name": metadata.get("app_name"),
|
||||
"dify.workspace.name": metadata.get("workspace_name"),
|
||||
"dify.operation.type": info.operation_type,
|
||||
"gen_ai.provider.name": info.model_provider,
|
||||
"gen_ai.request.model": info.model_name,
|
||||
@ -627,36 +781,34 @@ class EnterpriseOtelTrace:
|
||||
"dify.prompt_generation.latency": info.latency,
|
||||
"dify.prompt_generation.error": info.error,
|
||||
}
|
||||
if info.metadata.get("node_execution_id"):
|
||||
attrs["dify.node.execution_id"] = info.metadata.get("node_execution_id")
|
||||
node_execution_id = metadata.get("node_execution_id")
|
||||
if node_execution_id:
|
||||
attrs["dify.node.execution_id"] = node_execution_id
|
||||
|
||||
if info.total_price is not None:
|
||||
attrs["dify.prompt_generation.total_price"] = info.total_price
|
||||
attrs["dify.prompt_generation.currency"] = info.currency
|
||||
|
||||
if self._exporter.include_content:
|
||||
attrs["dify.prompt_generation.instruction"] = info.instruction
|
||||
attrs["dify.prompt_generation.output"] = self._maybe_json(info.outputs)
|
||||
else:
|
||||
ref = f"ref:trace_id={info.trace_id}"
|
||||
attrs["dify.prompt_generation.instruction"] = ref
|
||||
attrs["dify.prompt_generation.output"] = ref
|
||||
ref = f"ref:trace_id={info.trace_id}"
|
||||
outputs = self._safe_payload_value(info.outputs)
|
||||
attrs["dify.prompt_generation.instruction"] = self._content_or_ref(info.instruction, ref)
|
||||
attrs["dify.prompt_generation.output"] = self._content_or_ref(outputs, ref)
|
||||
|
||||
emit_metric_only_event(
|
||||
event_name="dify.prompt_generation.execution",
|
||||
attributes=attrs,
|
||||
span_id_source=info.metadata.get("node_execution_id"),
|
||||
tenant_id=info.tenant_id,
|
||||
user_id=info.user_id,
|
||||
span_id_source=node_execution_id,
|
||||
tenant_id=tenant_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
labels: dict[str, Any] = {
|
||||
"tenant_id": info.tenant_id,
|
||||
"app_id": info.app_id or "",
|
||||
"operation_type": info.operation_type,
|
||||
"model_provider": info.model_provider,
|
||||
"model_name": info.model_name,
|
||||
}
|
||||
labels = self._labels(
|
||||
tenant_id=tenant_id or "",
|
||||
app_id=app_id or "",
|
||||
operation_type=info.operation_type,
|
||||
model_provider=info.model_provider,
|
||||
model_name=info.model_name,
|
||||
)
|
||||
|
||||
self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, labels)
|
||||
if info.prompt_tokens > 0:
|
||||
@ -668,7 +820,11 @@ class EnterpriseOtelTrace:
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.REQUESTS,
|
||||
1,
|
||||
{**labels, "type": "prompt_generation", "status": status},
|
||||
self._labels(
|
||||
**labels,
|
||||
type="prompt_generation",
|
||||
status=status,
|
||||
),
|
||||
)
|
||||
|
||||
self._exporter.record_histogram(
|
||||
@ -681,5 +837,8 @@ class EnterpriseOtelTrace:
|
||||
self._exporter.increment_counter(
|
||||
EnterpriseTelemetryCounter.ERRORS,
|
||||
1,
|
||||
{**labels, "type": "prompt_generation"},
|
||||
self._labels(
|
||||
**labels,
|
||||
type="prompt_generation",
|
||||
),
|
||||
)
|
||||
|
||||
@ -8,11 +8,13 @@ from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import uuid
|
||||
from functools import lru_cache
|
||||
from typing import Any
|
||||
|
||||
logger = logging.getLogger("dify.telemetry")
|
||||
|
||||
|
||||
@lru_cache(maxsize=4096)
|
||||
def compute_trace_id_hex(uuid_str: str | None) -> str:
|
||||
"""Convert a business UUID string to a 32-hex OTEL-compatible trace_id.
|
||||
|
||||
@ -20,19 +22,26 @@ def compute_trace_id_hex(uuid_str: str | None) -> str:
|
||||
"""
|
||||
if not uuid_str:
|
||||
return ""
|
||||
normalized = uuid_str.strip().lower()
|
||||
if len(normalized) == 32 and all(ch in "0123456789abcdef" for ch in normalized):
|
||||
return normalized
|
||||
try:
|
||||
return f"{uuid.UUID(uuid_str).int:032x}"
|
||||
return f"{uuid.UUID(normalized).int:032x}"
|
||||
except (ValueError, AttributeError):
|
||||
return ""
|
||||
|
||||
|
||||
@lru_cache(maxsize=4096)
|
||||
def compute_span_id_hex(uuid_str: str | None) -> str:
|
||||
if not uuid_str:
|
||||
return ""
|
||||
normalized = uuid_str.strip().lower()
|
||||
if len(normalized) == 16 and all(ch in "0123456789abcdef" for ch in normalized):
|
||||
return normalized
|
||||
try:
|
||||
from enterprise.telemetry.id_generator import compute_deterministic_span_id
|
||||
|
||||
return f"{compute_deterministic_span_id(uuid_str):016x}"
|
||||
return f"{compute_deterministic_span_id(normalized):016x}"
|
||||
except (ValueError, AttributeError):
|
||||
return ""
|
||||
|
||||
@ -66,6 +75,8 @@ def emit_telemetry_log(
|
||||
user_id:
|
||||
User identifier (for the ``IdentityContextFilter``).
|
||||
"""
|
||||
if not logger.isEnabledFor(logging.INFO):
|
||||
return
|
||||
attrs = {
|
||||
"dify.event.name": event_name,
|
||||
"dify.event.signal": signal,
|
||||
|
||||
Reference in New Issue
Block a user