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resolved none type error in otel exporter #1646

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Merged
penguine-ip merged 1 commit into from
Jun 2, 2025
Merged

resolved none type error in otel exporter #1646

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48 changes: 25 additions & 23 deletions deepeval/tracing/otel/exporter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -151,7 +151,7 @@ def _extract_llm_attributes(self, span: ReadableSpan, res: Dict) -> Dict:
if event.name in ["gen_ai.system.message", "gen_ai.user.message"]:
attributes = event.attributes
res["input"].append(
{"role": event.name, "content": dict(attributes)}
{"role": event.name, "content": dict(attributes) if attributes is not None else {}}
)
# output
if event.name in [
Expand All @@ -161,43 +161,45 @@ def _extract_llm_attributes(self, span: ReadableSpan, res: Dict) -> Dict:
]:
res["output"] = str(event.attributes)

res["model"] = str(span.attributes.get("gen_ai.request.model"))
res["input_token_count"] = int(
span.attributes.get("gen_ai.usage.input_tokens")
)
res["output_token_count"] = int(
span.attributes.get("gen_ai.usage.output_tokens")
)
res["cost_per_input_token"] = float(
span.attributes.get("confident.llm.cost_per_input_token")
)
res["cost_per_output_token"] = float(
span.attributes.get("confident.llm.cost_per_output_token")
)
model = span.attributes.get("gen_ai.request.model")
res["model"] = str(model) if model is not None else None

input_tokens = span.attributes.get("gen_ai.usage.input_tokens")
res["input_token_count"] = int(input_tokens) if input_tokens is not None else None

output_tokens = span.attributes.get("gen_ai.usage.output_tokens")
res["output_token_count"] = int(output_tokens) if output_tokens is not None else None

cost_per_input = span.attributes.get("confident.llm.cost_per_input_token")
res["cost_per_input_token"] = float(cost_per_input) if cost_per_input is not None else None

cost_per_output = span.attributes.get("confident.llm.cost_per_output_token")
res["cost_per_output_token"] = float(cost_per_output) if cost_per_output is not None else None

return res

def _extract_tool_attributes(self, span: ReadableSpan, res: Dict) -> Dict:
for event in span.events:
# input
if event.name in ["confident.tool.input"]:
res["input"] = dict(event.attributes)
res["input"] = dict(event.attributes) if event.attributes is not None else {}
# output
if event.name in ["confident.tool.output"]:
res["output"] = dict(event.attributes)
res["output"] = dict(event.attributes) if event.attributes is not None else {}

res["description"] = str(span.attributes.get("gen_ai.tool.description"))
description = span.attributes.get("gen_ai.tool.description")
res["description"] = str(description) if description is not None else None

return res

def _extract_agent_attributes(self, span: ReadableSpan, res: Dict) -> Dict:
for event in span.events:
# input
if event.name in ["confident.agent.input"]:
res["input"] = dict(event.attributes)
res["input"] = dict(event.attributes) if event.attributes is not None else {}
# output
if event.name in ["confident.agent.output"]:
res["output"] = dict(event.attributes)
res["output"] = dict(event.attributes) if event.attributes is not None else {}

available_tools = span.attributes.get("confident.agent.available_tools")
if isinstance(available_tools, tuple):
Expand Down Expand Up @@ -226,10 +228,10 @@ def _extract_retriever_attributes(
res["output"] = [str(attribute) for attribute in attributes]

res["embedder"] = str(span.attributes.get("gen_ai.request.model"))
res["top_k"] = int(span.attributes.get("confident.retriever.top_k"))
res["chunk_size"] = int(
span.attributes.get("confident.retriever.chunk_size")
)
top_k = span.attributes.get("confident.retriever.top_k")
res["top_k"] = int(top_k) if top_k is not None else None
chunk_size = span.attributes.get("confident.retriever.chunk_size")
res["chunk_size"] = int(chunk_size) if chunk_size is not None else None
return res

def aggregate_base_api_spans_to_traces(
Expand Down
4 changes: 2 additions & 2 deletions poetry.lock
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