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115 lines
4.0 KiB
Python
115 lines
4.0 KiB
Python
# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
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#
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# SPDX-License-Identifier: Apache-2.0
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import functools
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import json
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from typing import Dict, List
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import pytest
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from _pytest.capture import CaptureFixture
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from _pytest.monkeypatch import MonkeyPatch
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from ddtrace.trace import Span as ddSpan
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from ddtrace.trace import Tracer as ddTracer
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from haystack.tracing.datadog import DatadogTracer
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@pytest.fixture()
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def datadog_tracer(monkeypatch: MonkeyPatch) -> ddTracer:
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# For the purpose of the tests we want to use the log writer.
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# We simulate being in AWS Lambda, where the log writer is active.
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# See https://github.com/DataDog/dd-trace-py/blob/ae4c189ebf8e539f39905f21c7918cc19de69d13/ddtrace/internal/writer/writer.py#L680
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# for more details.
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monkeypatch.setenv("AWS_LAMBDA_FUNCTION_NAME", "test-function")
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tracer = ddTracer()
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return tracer
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def get_traces_from_console(capfd: CaptureFixture) -> List[Dict]:
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output = capfd.readouterr().out
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parsed = json.loads(output)
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nested_traces = parsed["traces"]
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flattened = list(functools.reduce(lambda x, y: x + y, nested_traces, []))
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return flattened
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class TestDatadogTracer:
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def test_opentelemetry_tracer(self, datadog_tracer: ddTracer, capfd: CaptureFixture) -> None:
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tracer = DatadogTracer(datadog_tracer)
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component_tags = {
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"haystack.component.name": "test_component",
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"haystack.component.type": "TestType",
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"haystack.component.input": {"input_key": "input_value"},
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"haystack.component.output": {"output_key": "output_value"},
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}
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with tracer.trace("haystack.component.run", tags=component_tags) as span:
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span.set_tag("key", "value")
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traces = get_traces_from_console(capfd)
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assert len(traces) == 1
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trace = traces[0]
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assert trace["name"] == "haystack.component.run"
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assert "test_component" in trace["resource"]
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assert "TestType" in trace["resource"]
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def test_tagging(self, datadog_tracer: ddTracer, capfd: CaptureFixture) -> None:
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tracer = DatadogTracer(datadog_tracer)
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with tracer.trace("test", tags={"key1": "value1"}) as span:
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span.set_tag("key2", "value2")
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spans = get_traces_from_console(capfd)
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assert len(spans) == 1
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assert spans[0]["meta"]["key1"] == "value1"
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assert spans[0]["meta"]["key2"] == "value2"
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def test_current_span(self, datadog_tracer: ddTracer, capfd: CaptureFixture) -> None:
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tracer = DatadogTracer(datadog_tracer)
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with tracer.trace("test"):
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current_span = tracer.current_span()
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assert tracer.current_span() is not None
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current_span.set_tag("key1", "value1")
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raw_span = current_span.raw_span()
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assert raw_span is not None
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assert isinstance(raw_span, ddSpan)
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raw_span.set_tag("key2", "value2")
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spans = get_traces_from_console(capfd)
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assert len(spans) == 1
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assert spans[0]["meta"]["key1"] == "value1"
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assert spans[0]["meta"]["key2"] == "value2"
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def test_tracing_complex_values(self, datadog_tracer: ddTracer, capfd: CaptureFixture) -> None:
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tracer = DatadogTracer(datadog_tracer)
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with tracer.trace("test") as span:
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span.set_tag("key", {"a": 1, "b": [2, 3, 4]})
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spans = get_traces_from_console(capfd)
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assert len(spans) == 1
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assert spans[0]["meta"]["key"] == '{"a": 1, "b": [2, 3, 4]}'
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def test_get_log_correlation_info(self, datadog_tracer: ddTracer) -> None:
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tracer = DatadogTracer(datadog_tracer)
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with tracer.trace("test") as span:
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span.set_tag("key", "value")
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assert span.get_correlation_data_for_logs() == {
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"dd.trace_id": str((1 << 64) - 1 & span.raw_span().trace_id),
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"dd.span_id": span.raw_span().span_id,
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"dd.service": "",
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"dd.env": "",
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"dd.version": "",
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}
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