File size: 3,387 Bytes
ce676f7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | # SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
#
# SPDX-License-Identifier: Apache-2.0
import functools
import json
from typing import List, Dict
import ddtrace
import pytest
from _pytest.capture import CaptureFixture
from _pytest.monkeypatch import MonkeyPatch
from haystack.tracing.datadog import DatadogTracer
@pytest.fixture()
def datadog_tracer(monkeypatch: MonkeyPatch) -> ddtrace.Tracer:
# For the purpose of the tests we want to use the log writer
monkeypatch.setattr(ddtrace.Tracer, ddtrace.Tracer._use_log_writer.__name__, lambda *_: True)
tracer = ddtrace.Tracer()
return tracer
def get_traces_from_console(capfd: CaptureFixture) -> List[Dict]:
output = capfd.readouterr().out
parsed = json.loads(output)
nested_traces = parsed["traces"]
flattened = list(functools.reduce(lambda x, y: x + y, nested_traces, []))
return flattened
class TestDatadogTracer:
def test_opentelemetry_tracer(self, datadog_tracer: ddtrace.Tracer, capfd: CaptureFixture) -> None:
tracer = DatadogTracer(datadog_tracer)
with tracer.trace("test") as span:
span.set_tag("key", "value")
traces = get_traces_from_console(capfd)
assert len(traces) == 1
trace = traces[0]
assert trace["name"] == "test"
def test_tagging(self, datadog_tracer: ddtrace.Tracer, capfd: CaptureFixture) -> None:
tracer = DatadogTracer(datadog_tracer)
with tracer.trace("test", tags={"key1": "value1"}) as span:
span.set_tag("key2", "value2")
spans = get_traces_from_console(capfd)
assert len(spans) == 1
assert spans[0]["meta"]["key1"] == "value1"
assert spans[0]["meta"]["key2"] == "value2"
def test_current_span(self, datadog_tracer: ddtrace.Tracer, capfd: CaptureFixture) -> None:
tracer = DatadogTracer(datadog_tracer)
with tracer.trace("test"):
current_span = tracer.current_span()
assert tracer.current_span() is not None
current_span.set_tag("key1", "value1")
raw_span = current_span.raw_span()
assert raw_span is not None
assert isinstance(raw_span, ddtrace.Span)
raw_span.set_tag("key2", "value2")
spans = get_traces_from_console(capfd)
assert len(spans) == 1
assert spans[0]["meta"]["key1"] == "value1"
assert spans[0]["meta"]["key2"] == "value2"
def test_tracing_complex_values(self, datadog_tracer: ddtrace.Tracer, capfd: CaptureFixture) -> None:
tracer = DatadogTracer(datadog_tracer)
with tracer.trace("test") as span:
span.set_tag("key", {"a": 1, "b": [2, 3, 4]})
spans = get_traces_from_console(capfd)
assert len(spans) == 1
assert spans[0]["meta"]["key"] == '{"a": 1, "b": [2, 3, 4]}'
def test_get_log_correlation_info(self, datadog_tracer: ddtrace.Tracer) -> None:
tracer = DatadogTracer(datadog_tracer)
with tracer.trace("test") as span:
span.set_tag("key", "value")
assert span.get_correlation_data_for_logs() == {
"dd.trace_id": str((1 << 64) - 1 & span.raw_span().trace_id),
"dd.span_id": span.raw_span().span_id,
"dd.service": "",
"dd.env": "",
"dd.version": "",
}
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