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fix: ruff check

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pull/21471/head
hieheihei 11 months ago
parent 432455a796
commit a84ef153b3
5 changed files with 109 additions and 108 deletions
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160
api/core/ops/aliyun_trace/aliyun_trace.py
Unescape Escape View File

@ -67,12 +67,12 @@ logger = logging.getLogger(__name__)
class AliyunDataTrace(BaseTraceInstance):
def __init__(
self,
aliyun_config: AliyunConfig,
self,
aliyun_config: AliyunConfig,
):
super().__init__(aliyun_config)
base_url = aliyun_config.endpoint.rstrip('/')
endpoint = urljoin(base_url, f'adapt_{aliyun_config.license_key}/api/otlp/traces')
base_url = aliyun_config.endpoint.rstrip("/")
endpoint = urljoin(base_url, f"adapt_{aliyun_config.license_key}/api/otlp/traces")
self.trace_client = TraceClient(service_name=aliyun_config.app_name, endpoint=endpoint)
def trace(self, trace_info: BaseTraceInfo):
@ -103,7 +103,7 @@ class AliyunDataTrace(BaseTraceInstance):
def workflow_trace(self, trace_info: WorkflowTraceInfo):
trace_id = convert_to_trace_id(trace_info.workflow_run_id)
workflow_span_id = convert_to_span_id(trace_info.workflow_run_id, 'workflow')
workflow_span_id = convert_to_span_id(trace_info.workflow_run_id, "workflow")
self.add_workflow_span(trace_id, workflow_span_id, trace_info)
workflow_node_executions = self.get_workflow_node_executions(trace_info)
@ -130,19 +130,19 @@ class AliyunDataTrace(BaseTraceInstance):
status = Status(StatusCode.ERROR, trace_info.error)
trace_id = convert_to_trace_id(message_id)
message_span_id = convert_to_span_id(message_id, 'message')
message_span_id = convert_to_span_id(message_id, "message")
message_span = SpanData(
trace_id=trace_id,
parent_span_id=None,
span_id=message_span_id,
name='message',
name="message",
start_time=convert_datetime_to_nanoseconds(trace_info.start_time),
end_time=convert_datetime_to_nanoseconds(trace_info.end_time),
attributes={
GEN_AI_SESSION_ID: trace_info.metadata.get('conversation_id', ''),
GEN_AI_SESSION_ID: trace_info.metadata.get("conversation_id", ""),
GEN_AI_USER_ID: str(user_id),
GEN_AI_SPAN_KIND: GenAISpanKind.CHAIN.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_FRAMEWORK: "dify",
INPUT_VALUE: json.dumps(trace_info.inputs, ensure_ascii=False),
OUTPUT_VALUE: str(trace_info.outputs),
},
@ -153,17 +153,17 @@ class AliyunDataTrace(BaseTraceInstance):
llm_span = SpanData(
trace_id=trace_id,
parent_span_id=message_span_id,
span_id=convert_to_span_id(message_id, 'llm'),
name='llm',
span_id=convert_to_span_id(message_id, "llm"),
name="llm",
start_time=convert_datetime_to_nanoseconds(trace_info.start_time),
end_time=convert_datetime_to_nanoseconds(trace_info.end_time),
attributes={
GEN_AI_SESSION_ID: trace_info.metadata.get('conversation_id', ''),
GEN_AI_SESSION_ID: trace_info.metadata.get("conversation_id", ""),
GEN_AI_USER_ID: str(user_id),
GEN_AI_SPAN_KIND: GenAISpanKind.LLM.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_MODEL_NAME: trace_info.metadata.get('ls_model_name', ''),
GEN_AI_SYSTEM: trace_info.metadata.get('ls_provider', ''),
GEN_AI_FRAMEWORK: "dify",
GEN_AI_MODEL_NAME: trace_info.metadata.get("ls_model_name", ""),
GEN_AI_SYSTEM: trace_info.metadata.get("ls_provider", ""),
GEN_AI_USAGE_INPUT_TOKENS: str(trace_info.message_tokens),
GEN_AI_USAGE_OUTPUT_TOKENS: str(trace_info.answer_tokens),
GEN_AI_USAGE_TOTAL_TOKENS: str(trace_info.total_tokens),
@ -186,19 +186,19 @@ class AliyunDataTrace(BaseTraceInstance):
documents_data = extract_retrieval_documents(trace_info.documents)
dataset_retrieval_span = SpanData(
trace_id=convert_to_trace_id(message_id),
parent_span_id=convert_to_span_id(message_id, 'message'),
parent_span_id=convert_to_span_id(message_id, "message"),
span_id=generate_span_id(),
name='dataset_retrieval',
name="dataset_retrieval",
start_time=convert_datetime_to_nanoseconds(trace_info.start_time),
end_time=convert_datetime_to_nanoseconds(trace_info.end_time),
attributes={
GEN_AI_SPAN_KIND: GenAISpanKind.RETRIEVER.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_FRAMEWORK: "dify",
RETRIEVAL_QUERY: str(trace_info.inputs),
RETRIEVAL_DOCUMENT: json.dumps(documents_data, ensure_ascii=False),
INPUT_VALUE: str(trace_info.inputs),
OUTPUT_VALUE: json.dumps(documents_data, ensure_ascii=False),
}
},
)
self.trace_client.add_span(dataset_retrieval_span)
@ -213,14 +213,14 @@ class AliyunDataTrace(BaseTraceInstance):
tool_span = SpanData(
trace_id=convert_to_trace_id(message_id),
parent_span_id=convert_to_span_id(message_id, 'message'),
parent_span_id=convert_to_span_id(message_id, "message"),
span_id=generate_span_id(),
name=trace_info.tool_name,
start_time=convert_datetime_to_nanoseconds(trace_info.start_time),
end_time=convert_datetime_to_nanoseconds(trace_info.end_time),
attributes={
GEN_AI_SPAN_KIND: GenAISpanKind.TOOL.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_FRAMEWORK: "dify",
TOOL_NAME: trace_info.tool_name,
TOOL_DESCRIPTION: json.dumps(trace_info.tool_config, ensure_ascii=False),
TOOL_PARAMETERS: json.dumps(trace_info.tool_inputs, ensure_ascii=False),
@ -270,21 +270,17 @@ class AliyunDataTrace(BaseTraceInstance):
return workflow_node_executions
def build_workflow_node_span(
self, node_execution: WorkflowNodeExecution, trace_id: int,
trace_info: WorkflowTraceInfo, workflow_span_id: int):
self, node_execution: WorkflowNodeExecution, trace_id: int,
trace_info: WorkflowTraceInfo, workflow_span_id: int):
try:
if node_execution.node_type == NodeType.LLM:
node_span = self.build_workflow_llm_span(
trace_id, workflow_span_id, trace_info, node_execution)
node_span = self.build_workflow_llm_span(trace_id, workflow_span_id, trace_info, node_execution)
elif node_execution.node_type == NodeType.KNOWLEDGE_RETRIEVAL:
node_span = self.build_workflow_retrieval_span(
trace_id, workflow_span_id, trace_info, node_execution)
node_span = self.build_workflow_retrieval_span(trace_id, workflow_span_id, trace_info, node_execution)
elif node_execution.node_type == NodeType.TOOL:
node_span = self.build_workflow_tool_span(
trace_id, workflow_span_id, trace_info, node_execution)
node_span = self.build_workflow_tool_span(trace_id, workflow_span_id, trace_info, node_execution)
else:
node_span = self.build_workflow_task_span(
trace_id, workflow_span_id, trace_info, node_execution)
node_span = self.build_workflow_task_span(trace_id, workflow_span_id, trace_info, node_execution)
return node_span
except Exception:
return None
@ -297,37 +293,39 @@ class AliyunDataTrace(BaseTraceInstance):
span_status = Status(StatusCode.ERROR, str(node_execution.error))
return span_status
def build_workflow_task_span(self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
def build_workflow_task_span(
self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
return SpanData(
trace_id=trace_id,
parent_span_id=workflow_span_id,
span_id=convert_to_span_id(node_execution.id, 'node'),
span_id=convert_to_span_id(node_execution.id, "node"),
name=node_execution.title,
start_time=convert_datetime_to_nanoseconds(node_execution.created_at),
end_time=convert_datetime_to_nanoseconds(node_execution.finished_at),
attributes={
GEN_AI_SESSION_ID: trace_info.metadata.get('conversation_id', ''),
GEN_AI_SESSION_ID: trace_info.metadata.get("conversation_id", ""),
GEN_AI_SPAN_KIND: GenAISpanKind.TASK.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_FRAMEWORK: "dify",
INPUT_VALUE: json.dumps(node_execution.inputs, ensure_ascii=False),
OUTPUT_VALUE: json.dumps(node_execution.outputs, ensure_ascii=False),
},
status=self.get_workflow_node_status(node_execution),
)
def build_workflow_tool_span(self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
def build_workflow_tool_span(
self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
return SpanData(
trace_id=trace_id,
parent_span_id=workflow_span_id,
span_id=convert_to_span_id(node_execution.id, 'node'),
span_id=convert_to_span_id(node_execution.id, "node"),
name=node_execution.title,
start_time=convert_datetime_to_nanoseconds(node_execution.created_at),
end_time=convert_datetime_to_nanoseconds(node_execution.finished_at),
attributes={
GEN_AI_SPAN_KIND: GenAISpanKind.TOOL.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_FRAMEWORK: "dify",
TOOL_NAME: node_execution.title,
TOOL_DESCRIPTION: json.dumps(
node_execution.metadata.get(WorkflowNodeExecutionMetadataKey.TOOL_INFO, {}), ensure_ascii=False),
@ -338,49 +336,51 @@ class AliyunDataTrace(BaseTraceInstance):
status=self.get_workflow_node_status(node_execution),
)
def build_workflow_retrieval_span(self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
def build_workflow_retrieval_span(
self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
return SpanData(
trace_id=trace_id,
parent_span_id=workflow_span_id,
span_id=convert_to_span_id(node_execution.id, 'node'),
span_id=convert_to_span_id(node_execution.id, "node"),
name=node_execution.title,
start_time=convert_datetime_to_nanoseconds(node_execution.created_at),
end_time=convert_datetime_to_nanoseconds(node_execution.finished_at),
attributes={
GEN_AI_SPAN_KIND: GenAISpanKind.RETRIEVER.value,
GEN_AI_FRAMEWORK: 'dify',
RETRIEVAL_QUERY: str(node_execution.inputs.get('query', '')),
RETRIEVAL_DOCUMENT: json.dumps(node_execution.outputs.get('result', []), ensure_ascii=False),
INPUT_VALUE: str(node_execution.inputs.get('query', '')),
OUTPUT_VALUE: json.dumps(node_execution.outputs.get('result', []), ensure_ascii=False),
GEN_AI_FRAMEWORK: "dify",
RETRIEVAL_QUERY: str(node_execution.inputs.get("query", "")),
RETRIEVAL_DOCUMENT: json.dumps(node_execution.outputs.get("result", []), ensure_ascii=False),
INPUT_VALUE: str(node_execution.inputs.get("query", "")),
OUTPUT_VALUE: json.dumps(node_execution.outputs.get("result", []), ensure_ascii=False),
},
status=self.get_workflow_node_status(node_execution),
)
def build_workflow_llm_span(self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
def build_workflow_llm_span(
self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo,
node_execution: WorkflowNodeExecution) -> SpanData:
return SpanData(
trace_id=trace_id,
parent_span_id=workflow_span_id,
span_id=convert_to_span_id(node_execution.id, 'node'),
span_id=convert_to_span_id(node_execution.id, "node"),
name=node_execution.title,
start_time=convert_datetime_to_nanoseconds(node_execution.created_at),
end_time=convert_datetime_to_nanoseconds(node_execution.finished_at),
attributes={
GEN_AI_SESSION_ID: trace_info.metadata.get('conversation_id', ''),
GEN_AI_SESSION_ID: trace_info.metadata.get("conversation_id", ""),
GEN_AI_SPAN_KIND: GenAISpanKind.LLM.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_MODEL_NAME: node_execution.process_data.get('model_name', ''),
GEN_AI_SYSTEM: node_execution.process_data.get('model_provider', ''),
GEN_AI_USAGE_INPUT_TOKENS: str(node_execution.outputs.get('usage', {}).get('prompt_tokens', 0)),
GEN_AI_USAGE_OUTPUT_TOKENS: str(node_execution.outputs.get('usage', {}).get('completion_tokens', 0)),
GEN_AI_USAGE_TOTAL_TOKENS: str(node_execution.outputs.get('usage', {}).get('total_tokens', 0)),
GEN_AI_PROMPT: json.dumps(node_execution.process_data.get('prompts', []), ensure_ascii=False),
GEN_AI_COMPLETION: str(node_execution.outputs.get('text', '')),
GEN_AI_RESPONSE_FINISH_REASON: node_execution.outputs.get('finish_reason', ''),
INPUT_VALUE: json.dumps(node_execution.process_data.get('prompts', []), ensure_ascii=False),
OUTPUT_VALUE: str(node_execution.outputs.get('text', ''))
GEN_AI_FRAMEWORK: "dify",
GEN_AI_MODEL_NAME: node_execution.process_data.get("model_name", ""),
GEN_AI_SYSTEM: node_execution.process_data.get("model_provider", ""),
GEN_AI_USAGE_INPUT_TOKENS: str(node_execution.outputs.get("usage", {}).get("prompt_tokens", 0)),
GEN_AI_USAGE_OUTPUT_TOKENS: str(node_execution.outputs.get("usage", {}).get("completion_tokens", 0)),
GEN_AI_USAGE_TOTAL_TOKENS: str(node_execution.outputs.get("usage", {}).get("total_tokens", 0)),
GEN_AI_PROMPT: json.dumps(node_execution.process_data.get("prompts", []), ensure_ascii=False),
GEN_AI_COMPLETION: str(node_execution.outputs.get("text", "")),
GEN_AI_RESPONSE_FINISH_REASON: node_execution.outputs.get("finish_reason", ""),
INPUT_VALUE: json.dumps(node_execution.process_data.get("prompts", []), ensure_ascii=False),
OUTPUT_VALUE: str(node_execution.outputs.get("text", ""))
},
status=self.get_workflow_node_status(node_execution),
)
@ -388,7 +388,7 @@ class AliyunDataTrace(BaseTraceInstance):
def add_workflow_span(self, trace_id: int, workflow_span_id: int, trace_info: WorkflowTraceInfo):
message_span_id = None
if trace_info.message_id:
message_span_id = convert_to_span_id(trace_info.message_id, 'message')
message_span_id = convert_to_span_id(trace_info.message_id, "message")
user_id = trace_info.metadata.get("user_id")
status: Status = Status(StatusCode.OK)
if trace_info.error:
@ -398,15 +398,15 @@ class AliyunDataTrace(BaseTraceInstance):
trace_id=trace_id,
parent_span_id=None,
span_id=message_span_id,
name='message',
name="message",
start_time=convert_datetime_to_nanoseconds(trace_info.start_time),
end_time=convert_datetime_to_nanoseconds(trace_info.end_time),
attributes={
GEN_AI_SESSION_ID: trace_info.metadata.get('conversation_id', ''),
GEN_AI_SESSION_ID: trace_info.metadata.get("conversation_id", ""),
GEN_AI_USER_ID: str(user_id),
GEN_AI_SPAN_KIND: GenAISpanKind.CHAIN.value,
GEN_AI_FRAMEWORK: 'dify',
INPUT_VALUE: trace_info.workflow_run_inputs.get('sys.query', ''),
GEN_AI_FRAMEWORK: "dify",
INPUT_VALUE: trace_info.workflow_run_inputs.get("sys.query", ""),
OUTPUT_VALUE: json.dumps(trace_info.workflow_run_outputs, ensure_ascii=False),
},
status=status,
@ -417,13 +417,13 @@ class AliyunDataTrace(BaseTraceInstance):
trace_id=trace_id,
parent_span_id=message_span_id,
span_id=workflow_span_id,
name='workflow',
name="workflow",
start_time=convert_datetime_to_nanoseconds(trace_info.start_time),
end_time=convert_datetime_to_nanoseconds(trace_info.end_time),
attributes={
GEN_AI_USER_ID: str(user_id),
GEN_AI_SPAN_KIND: GenAISpanKind.CHAIN.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_FRAMEWORK: "dify",
INPUT_VALUE: json.dumps(trace_info.workflow_run_inputs, ensure_ascii=False),
OUTPUT_VALUE: json.dumps(trace_info.workflow_run_outputs, ensure_ascii=False),
},
@ -438,16 +438,16 @@ class AliyunDataTrace(BaseTraceInstance):
status = Status(StatusCode.ERROR, trace_info.error)
suggested_question_span = SpanData(
trace_id=convert_to_trace_id(message_id),
parent_span_id=convert_to_span_id(message_id, 'message'),
span_id=convert_to_span_id(message_id, 'suggested_question'),
name='suggested_question',
parent_span_id=convert_to_span_id(message_id, "message"),
span_id=convert_to_span_id(message_id, "suggested_question"),
name="suggested_question",
start_time=convert_datetime_to_nanoseconds(trace_info.start_time),
end_time=convert_datetime_to_nanoseconds(trace_info.end_time),
attributes={
GEN_AI_SPAN_KIND: GenAISpanKind.LLM.value,
GEN_AI_FRAMEWORK: 'dify',
GEN_AI_MODEL_NAME: trace_info.metadata.get('ls_model_name', ''),
GEN_AI_SYSTEM: trace_info.metadata.get('ls_provider', ''),
GEN_AI_FRAMEWORK: "dify",
GEN_AI_MODEL_NAME: trace_info.metadata.get("ls_model_name", ""),
GEN_AI_SYSTEM: trace_info.metadata.get("ls_provider", ""),
GEN_AI_PROMPT: json.dumps(trace_info.inputs, ensure_ascii=False),
GEN_AI_COMPLETION: json.dumps(trace_info.suggested_question, ensure_ascii=False),
INPUT_VALUE: json.dumps(trace_info.inputs, ensure_ascii=False),
@ -464,11 +464,11 @@ def extract_retrieval_documents(documents: list[Document]):
document_data = {
"content": document.page_content,
"metadata": {
"dataset_id": document.metadata.get('dataset_id'),
"doc_id": document.metadata.get('doc_id'),
"document_id": document.metadata.get('document_id'),
"dataset_id": document.metadata.get("dataset_id"),
"doc_id": document.metadata.get("doc_id"),
"document_id": document.metadata.get("document_id"),
},
"score": document.metadata.get('score'),
"score": document.metadata.get("score"),
}
documents_data.append(document_data)
return documents_data

4
api/core/ops/aliyun_trace/data_exporter/traceclient.py
Unescape Escape View File

@ -70,7 +70,7 @@ class TraceClient:
raise ValueError(f"AliyunTrace API check failed: {str(e)}")
def get_project_url(self):
return 'https://arms.console.aliyun.com/#/llm'
return "https://arms.console.aliyun.com/#/llm"
def add_span(self, span_data: SpanData):
if span_data is None:
@ -181,7 +181,7 @@ def convert_to_span_id(uuid_v4: str, span_type: str) -> int:
except Exception as e:
raise ValueError(f"Invalid UUID input: {e}")
combined_key = f"{uuid_obj.hex}-{span_type}"
hash_bytes = hashlib.sha256(combined_key.encode('utf-8')).digest()
hash_bytes = hashlib.sha256(combined_key.encode("utf-8")).digest()
span_id = int.from_bytes(hash_bytes[:8], byteorder="big", signed=False)
return span_id

50
api/core/ops/aliyun_trace/entities/semconv.py
Unescape Escape View File

@ -13,53 +13,53 @@ GEN_AI_FRAMEWORK = "gen_ai.framework"
# Chain
INPUT_VALUE = 'input.value'
INPUT_VALUE = "input.value"
OUTPUT_VALUE = 'output.value'
OUTPUT_VALUE = "output.value"
#Retriever
RETRIEVAL_QUERY = 'retrieval.query'
RETRIEVAL_QUERY = "retrieval.query"
RETRIEVAL_DOCUMENT = 'retrieval.document'
RETRIEVAL_DOCUMENT = "retrieval.document"
#LLM
GEN_AI_MODEL_NAME = 'gen_ai.model_name'
GEN_AI_MODEL_NAME = "gen_ai.model_name"
GEN_AI_SYSTEM = 'gen_ai.system'
GEN_AI_SYSTEM = "gen_ai.system"
GEN_AI_USAGE_INPUT_TOKENS = 'gen_ai.usage.input_tokens'
GEN_AI_USAGE_INPUT_TOKENS = "gen_ai.usage.input_tokens"
GEN_AI_USAGE_OUTPUT_TOKENS = 'gen_ai.usage.output_tokens'
GEN_AI_USAGE_OUTPUT_TOKENS = "gen_ai.usage.output_tokens"
GEN_AI_USAGE_TOTAL_TOKENS = 'gen_ai.usage.total_tokens'
GEN_AI_USAGE_TOTAL_TOKENS = "gen_ai.usage.total_tokens"
GEN_AI_PROMPT_TEMPLATE_TEMPLATE = 'gen_ai.prompt_template.template'
GEN_AI_PROMPT_TEMPLATE_TEMPLATE = "gen_ai.prompt_template.template"
GEN_AI_PROMPT_TEMPLATE_VARIABLE = 'gen_ai.prompt_template.variable'
GEN_AI_PROMPT_TEMPLATE_VARIABLE = "gen_ai.prompt_template.variable"
GEN_AI_PROMPT = 'gen_ai.prompt'
GEN_AI_PROMPT = "gen_ai.prompt"
GEN_AI_COMPLETION = 'gem_ai.completion'
GEN_AI_COMPLETION = "gem_ai.completion"
GEN_AI_RESPONSE_FINISH_REASON = 'gen_ai.response.finish_reason'
GEN_AI_RESPONSE_FINISH_REASON = "gen_ai.response.finish_reason"
#Tool
TOOL_NAME = 'tool.name'
TOOL_NAME = "tool.name"
TOOL_DESCRIPTION = 'tool.description'
TOOL_DESCRIPTION = "tool.description"
TOOL_PARAMETERS = 'tool.parameters'
TOOL_PARAMETERS = "tool.parameters"
class GenAISpanKind(Enum):
CHAIN = 'CHAIN'
RETRIEVER = 'RETRIEVER'
RERANKER = 'RERANKER'
LLM = 'LLM'
EMBEDDING = 'EMBEDDING'
TOOL = 'TOOL'
AGENT = 'AGENT'
TASK = 'TASK'
CHAIN = "CHAIN"
RETRIEVER = "RETRIEVER"
RERANKER = "RERANKER"
LLM = "LLM"
EMBEDDING = "EMBEDDING"
TOOL = "TOOL"
AGENT = "AGENT"
TASK = "TASK"

1
api/core/ops/entities/config_entity.py
Unescape Escape View File

@ -119,6 +119,7 @@ class WeaveConfig(BaseTracingConfig):
raise ValueError("host must start with https:// or http://")
return v
class AliyunConfig(BaseTracingConfig):
"""
Model class for Aliyun tracing config.

2
api/core/ops/ops_trace_manager.py
Unescape Escape View File

@ -92,7 +92,7 @@ class OpsTraceProviderConfigMap(dict[str, dict[str, Any]]):
return {
"config_class": AliyunConfig,
"secret_keys": ["license_key"],
"other_keys": ["endpoint","app_name"],
"other_keys": ["endpoint", "app_name"],
"trace_instance": AliyunDataTrace,
}

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