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@arizeai/phoenix-mcp

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by Arize-ai
test_span_json_encoder.py1.44 kB
import json from datetime import datetime, timezone import numpy as np from phoenix.trace.schemas import Span, SpanContext, SpanKind, SpanStatusCode from phoenix.trace.span_json_encoder import span_to_json def test_span_to_json() -> None: start_time = datetime.now(timezone.utc) end_time = datetime.now(timezone.utc) span = Span( name="test", context=SpanContext( trace_id="1234", span_id="5678", ), span_kind=SpanKind.UNKNOWN, parent_id=None, start_time=start_time, end_time=end_time, status_code=SpanStatusCode.ERROR, status_message="error", attributes={ "key": "value", "integers": np.array([1, 2, 3]), "floats": np.array([0.1, 0.2, 0.3]), }, events=[], conversation=None, ) assert json.loads(span_to_json(span)) == { "name": "test", "context": { "trace_id": "1234", "span_id": "5678", }, "span_kind": "UNKNOWN", "parent_id": None, "start_time": start_time.isoformat(), "end_time": end_time.isoformat(), "status_code": "ERROR", "status_message": "error", "attributes": { "key": "value", "integers": [1, 2, 3], "floats": [0.1, 0.2, 0.3], }, "events": [], "conversation": None, }

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