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566 lines
18 KiB
Python
566 lines
18 KiB
Python
import copy
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from typing import Any, Dict, List, Optional
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from uuid import uuid4
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import pytest
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from langchain_core.tools import tool
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from langchain_core.tracers import BaseTracer
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from langgraph.graph import END, START, StateGraph
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from typing_extensions import TypedDict
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from opik import exceptions
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from opik.api_objects import span as span_module, trace as trace_module
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from opik.integrations import langchain
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from opik.integrations.langchain.opik_tracer import OpikTracer
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from opik.integrations.langchain import run_parse_helpers
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def test_opik_tracer__attach_span_to_parent_span__stream_restart_root(fake_backend):
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"""When a parent run is a stream-restart root (in _span_data_map but NOT in
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_created_traces_data_map), trace data should be propagated to the child via
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a trace_id fallback lookup rather than raising a KeyError."""
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tracer = OpikTracer(opik_context_read_only_mode=True)
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# Simulate an original root run that created a trace
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trace_data = trace_module.TraceData(name="test-trace")
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trace_id = trace_data.id
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root_run_id = uuid4()
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tracer._created_traces_data_map[root_run_id] = trace_data
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# Simulate a stream-restart root: has a span with the same trace_id but is
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# NOT in _created_traces_data_map (the scenario that previously caused a KeyError)
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stream_restart_run_id = uuid4()
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parent_span = span_module.SpanData(trace_id=trace_id, name="stream-restart-span")
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tracer._span_data_map[stream_restart_run_id] = parent_span
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child_run_id = uuid4()
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run_dict = {
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"inputs": {"input": "hello"},
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"name": "child-span",
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"run_type": "general",
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"extra": {},
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}
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# Should not raise KeyError
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tracer._attach_span_to_parent_span(
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run_id=child_run_id,
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parent_run_id=stream_restart_run_id,
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run_dict=run_dict,
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)
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# Child should inherit the trace data via trace_id fallback lookup
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assert child_run_id in tracer._created_traces_data_map
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assert tracer._created_traces_data_map[child_run_id] is trace_data
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def test_opik_tracer__init_validation():
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with pytest.raises(exceptions.ValidationError):
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langchain.OpikTracer(thread_id=1)
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with pytest.raises(exceptions.ValidationError):
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langchain.OpikTracer(project_name=1)
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with pytest.raises(exceptions.ValidationError):
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langchain.OpikTracer(tags=1)
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with pytest.raises(exceptions.ValidationError):
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langchain.OpikTracer(tags={"key": 1})
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with pytest.raises(exceptions.ValidationError):
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langchain.OpikTracer(metadata=1)
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with pytest.raises(exceptions.ValidationError):
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langchain.OpikTracer(metadata=[1])
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@pytest.mark.parametrize(
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"error_traceback,expected",
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[
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# Basic string values with double quotes
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(
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'GraphInterrupt(Interrupt(value="test_value"))',
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"test_value",
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),
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(
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'Some error\nGraphInterrupt(Interrupt(value="hello world"))\nMore text',
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"hello world",
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),
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# Basic string values with single quotes
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(
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"GraphInterrupt(Interrupt(value='test_value'))",
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"test_value",
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),
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(
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"GraphInterrupt(Interrupt(value='hello world'))",
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"hello world",
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),
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# String values without quotes
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(
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"GraphInterrupt(Interrupt(value=test_value))",
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"test_value",
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),
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(
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"GraphInterrupt(Interrupt(value=123))",
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"123",
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),
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# Numeric values
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(
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"GraphInterrupt(Interrupt(value=42))",
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"42",
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),
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(
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"GraphInterrupt(Interrupt(value=-123))",
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"-123",
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),
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(
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"GraphInterrupt(Interrupt(value=3.14))",
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"3.14",
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),
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# Boolean values
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(
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"GraphInterrupt(Interrupt(value=True))",
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"True",
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),
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(
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"GraphInterrupt(Interrupt(value=False))",
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"False",
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),
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# None value
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(
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"GraphInterrupt(Interrupt(value=None))",
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"None",
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),
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# Empty string
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(
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'GraphInterrupt(Interrupt(value=""))',
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"",
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),
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(
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"GraphInterrupt(Interrupt(value=''))",
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"",
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),
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# String with special characters
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(
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'GraphInterrupt(Interrupt(value="hello\\nworld"))',
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"hello\nworld",
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),
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(
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'GraphInterrupt(Interrupt(value="path/to/file"))',
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"path/to/file",
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),
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# String with escaped quotes
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(
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'GraphInterrupt(Interrupt(value="test\\"value"))',
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'test"value',
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),
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(
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"GraphInterrupt(Interrupt(value='test\\'value'))",
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"test'value",
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),
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# List values
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(
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"GraphInterrupt(Interrupt(value=[1, 2, 3]))",
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"[1, 2, 3]",
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),
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(
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'GraphInterrupt(Interrupt(value=["a", "b", "c"]))',
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'["a", "b", "c"]',
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),
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# Dictionary values
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(
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'GraphInterrupt(Interrupt(value={"key": "value"}))',
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'{"key": "value"}',
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),
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(
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"GraphInterrupt(Interrupt(value={'a': 1, 'b': 2}))",
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"{'a': 1, 'b': 2}",
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),
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# Nested structures
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(
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'GraphInterrupt(Interrupt(value={"nested": [1, 2, {"inner": "value"}]}))',
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'{"nested": [1, 2, {"inner": "value"}]}',
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),
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(
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"GraphInterrupt(Interrupt(value=[[1, 2], [3, 4]]))",
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"[[1, 2], [3, 4]]",
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),
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# Values with commas
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(
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'GraphInterrupt(Interrupt(value="hello, world"))',
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"hello, world",
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),
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(
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'GraphInterrupt(Interrupt(value={"a": 1, "b": 2}))',
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'{"a": 1, "b": 2}',
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),
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# Values with nested parentheses
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(
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"GraphInterrupt(Interrupt(value=func(arg1, arg2)))",
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"func(arg1, arg2)",
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),
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(
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'GraphInterrupt(Interrupt(value="test(value)"))',
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"test(value)",
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),
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# Complex nested structures
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(
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'GraphInterrupt(Interrupt(value={"list": [1, (2, 3), 4], "dict": {"nested": "value"}}))',
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'{"list": [1, (2, 3), 4], "dict": {"nested": "value"}}',
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),
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# Multi-line traceback (matches first occurrence)
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(
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'Traceback (most recent call last):\n File "test.py", line 1\n GraphInterrupt(Interrupt(value="test"))\nValueError: GraphInterrupt(Interrupt(value="test_value"))',
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"test",
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),
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# Value with whitespace
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(
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'GraphInterrupt(Interrupt(value=" test "))',
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" test ",
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),
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(
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"GraphInterrupt(Interrupt(value= test_value ))",
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"test_value",
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),
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# NodeInterrupt (deprecated subclass of GraphInterrupt) - repr uses a list, not tuple
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(
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"NodeInterrupt([Interrupt(value='hello')])",
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"hello",
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),
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(
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'NodeInterrupt([Interrupt(value="review this PR", id="abc123")])',
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"review this PR",
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),
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(
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"NodeInterrupt([Interrupt(value=42)])",
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"42",
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),
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# Edge cases: no match
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(
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"Some random error message",
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None,
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),
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(
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"",
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None,
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),
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(
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'Interrupt(value="test")',
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None,
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),
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(
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'GraphInterrupt(value="test")',
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None,
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),
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# Malformed traceback (missing closing paren - extracts partial value)
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(
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'GraphInterrupt(Interrupt(value="test"',
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'"test',
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),
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# Value with newlines in string
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(
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'GraphInterrupt(Interrupt(value="line1\\nline2"))',
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"line1\nline2",
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),
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# Value with tabs
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(
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'GraphInterrupt(Interrupt(value="hello\\tworld"))',
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"hello\tworld",
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),
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# Tuple value
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(
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"GraphInterrupt(Interrupt(value=(1, 2, 3)))",
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"(1, 2, 3)",
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),
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# Value with function call
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(
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'GraphInterrupt(Interrupt(value=get_value("param")))',
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'get_value("param")',
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),
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# Value with nested quotes
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(
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"GraphInterrupt(Interrupt(value=\"He said 'hello'\"))",
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"He said 'hello'",
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),
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(
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"GraphInterrupt(Interrupt(value='He said \"hello\"'))",
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'He said "hello"',
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),
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# Value with carriage return
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(
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'GraphInterrupt(Interrupt(value="line1\\rline2"))',
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"line1\rline2",
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),
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# Value with backslash
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(
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'GraphInterrupt(Interrupt(value="path\\\\to\\\\file"))',
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"path\\to\\file",
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),
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# Value with multiple escape sequences
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(
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'GraphInterrupt(Interrupt(value="line1\\nline2\\tindented\\rcarriage"))',
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"line1\nline2\tindented\rcarriage",
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),
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# Value with unicode escape (\u0020 -> space)
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(
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'GraphInterrupt(Interrupt(value="hello\\u0020world"))',
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"hello world",
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),
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# Value with hex escape (\x20 -> space)
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(
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'GraphInterrupt(Interrupt(value="test\\x20value"))',
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"test value",
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),
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# Value with bell character
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(
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'GraphInterrupt(Interrupt(value="alert\\a"))',
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"alert\a",
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),
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# Value with form feed
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(
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'GraphInterrupt(Interrupt(value="page\\fbreak"))',
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"page\fbreak",
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),
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# Value with vertical tab
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(
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'GraphInterrupt(Interrupt(value="vertical\\vtab"))',
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"vertical\vtab",
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),
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# Value with backspace
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(
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'GraphInterrupt(Interrupt(value="back\\bspace"))',
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"back\bspace",
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),
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# Mixed escape sequences and regular text
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(
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'GraphInterrupt(Interrupt(value="Start\\n\\tIndented line\\n\\tAnother indented\\nEnd"))',
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"Start\n\tIndented line\n\tAnother indented\nEnd",
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),
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],
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)
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def test_parse_graph_interrupt_value(error_traceback: str, expected: Optional[str]):
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"""Test parse_graph_interrupt_value with various input formats."""
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result = run_parse_helpers.parse_graph_interrupt_value(error_traceback)
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assert result == expected, (
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f"Expected {expected!r}, got {result!r} for input: {error_traceback[:100]}"
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)
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|
|
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@pytest.mark.parametrize(
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"error_traceback,expected",
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[
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# Detection via repr prefix (from LangChain run.error = repr(exception))
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(
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"ParentCommand(Command(graph='__parent__', goto=[Send(node='some_agent', arg={})]))",
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True,
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),
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# Detection via a fully qualified class name in traceback
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(
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"Traceback (most recent call last):\n File 'test.py', line 1\nlanggraph.errors.ParentCommand: Command(graph='__parent__', goto=[])",
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True,
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),
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# Full error string matching the pattern reported by users
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(
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"ParentCommand(Command(graph='__parent__', goto=[Send(node='jira_agent', arg={'messages': [], 'remaining_steps': 9999})]))Traceback (most recent call last):\n\n File \"langgraph/_internal/_runnable.py\", line 711, in ainvoke\n input = await step.ainvoke(input, config)\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', goto=[])",
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True,
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),
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# Not a ParentCommand - regular error
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(
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"ValueError: something went wrong",
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False,
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),
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# Not a ParentCommand - GraphInterrupt
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(
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"GraphInterrupt(Interrupt(value='test'))",
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False,
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),
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# Not a ParentCommand - empty string
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(
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"",
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False,
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),
|
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# Not a ParentCommand - partial match (must start with ParentCommand or contain FQCN)
|
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(
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"SomeOtherParentCommand(foo)",
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False,
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),
|
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# Not a ParentCommand - similar but different class
|
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(
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"Command(graph='__parent__', goto=[])",
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False,
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),
|
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],
|
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)
|
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def test_is_langgraph_parent_command(error_traceback: str, expected: bool):
|
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"""Test is_langgraph_parent_command with various input formats."""
|
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result = run_parse_helpers.is_langgraph_parent_command(error_traceback)
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assert result == expected, (
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f"Expected {expected!r}, got {result!r} for input: {error_traceback[:120]}"
|
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)
|
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|
|
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class _RunDictRecorder(BaseTracer):
|
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"""Captures each run's ``run.dict()`` — the exact input OpikTracer feeds the classifier.
|
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|
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Used to drive the classifier tests off real LangGraph runs instead of hand-built dicts,
|
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so they break if LangGraph's run/metadata shape ever changes.
|
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"""
|
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|
|
def __init__(self):
|
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super().__init__()
|
|
self.run_dicts: List[Dict[str, Any]] = []
|
|
|
|
def _persist_run(self, run) -> None:
|
|
pass
|
|
|
|
def _start_trace(self, run) -> None:
|
|
super()._start_trace(run)
|
|
self.run_dicts.append(run.dict())
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def langgraph_run_dicts() -> Dict[str, Dict[str, Any]]:
|
|
"""Real run_dicts captured from a no-LLM LangGraph run, keyed by span name.
|
|
|
|
The graph is shaped to surface every classification case the library actually emits:
|
|
the root graph run (no langgraph metadata), node boundaries, a conditional-edge router
|
|
(framework plumbing), and a tool run (exercises the run_type guard) — all without any
|
|
LLM call, so the suite stays fast and deterministic.
|
|
"""
|
|
|
|
@tool
|
|
def get_weather(city: str) -> str:
|
|
"""Return the weather for a given city."""
|
|
return f"sunny in {city}"
|
|
|
|
class State(TypedDict):
|
|
city: str
|
|
route: Optional[str]
|
|
|
|
def classify(state: State, config) -> Dict[str, Any]:
|
|
# Invoke a real tool with the propagated config so it surfaces as a tool run.
|
|
get_weather.invoke({"city": state["city"]}, config=config)
|
|
return {"route": "known"}
|
|
|
|
def route(state: State) -> str:
|
|
return "respond"
|
|
|
|
def respond(state: State) -> Dict[str, Any]:
|
|
return {"city": state["city"]}
|
|
|
|
builder = StateGraph(State)
|
|
builder.add_node("classify", classify)
|
|
builder.add_node("respond", respond)
|
|
builder.add_edge(START, "classify")
|
|
builder.add_conditional_edges("classify", route, {"respond": "respond"})
|
|
builder.add_edge("respond", END)
|
|
graph = builder.compile()
|
|
|
|
recorder = _RunDictRecorder()
|
|
graph.invoke({"city": "Kyiv", "route": None}, config={"callbacks": [recorder]})
|
|
|
|
return {run_dict["name"]: run_dict for run_dict in recorder.run_dicts}
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"span_name, expected_internal",
|
|
[
|
|
# Root graph run carries no langgraph_* metadata -> out of scope.
|
|
("LangGraph", False),
|
|
# Node boundaries (run name == langgraph_node) are the meaningful spans.
|
|
("classify", False),
|
|
("respond", False),
|
|
# A tool run keeps despite name != node, because the run_type guard wins.
|
|
("get_weather", False),
|
|
# The conditional-edge router is framework plumbing (name != langgraph_node).
|
|
("route", True),
|
|
],
|
|
)
|
|
def test_is_internal_langgraph_run__real_langgraph_runs(
|
|
langgraph_run_dicts, span_name, expected_internal
|
|
):
|
|
run_dict = langgraph_run_dicts[span_name]
|
|
assert run_parse_helpers.is_internal_langgraph_run(run_dict) is expected_internal
|
|
|
|
|
|
def test_get_run_metadata__real_internal_run__tagged_with_opik_is_internal(
|
|
langgraph_run_dicts,
|
|
):
|
|
metadata = run_parse_helpers.get_run_metadata(langgraph_run_dicts["route"])
|
|
|
|
assert metadata["_opik"] == {"is_internal": True}
|
|
|
|
|
|
@pytest.mark.parametrize("span_name", ["classify", "get_weather"])
|
|
def test_get_run_metadata__real_meaningful_run__not_tagged(
|
|
langgraph_run_dicts, span_name
|
|
):
|
|
metadata = run_parse_helpers.get_run_metadata(langgraph_run_dicts[span_name])
|
|
|
|
assert "_opik" not in metadata
|
|
|
|
|
|
def test_get_run_metadata__existing_opik_dict__extended_not_replaced(
|
|
langgraph_run_dicts,
|
|
):
|
|
run_dict = copy.deepcopy(langgraph_run_dicts["route"])
|
|
run_dict["extra"]["metadata"]["_opik"] = {"existing": "kept"}
|
|
|
|
metadata = run_parse_helpers.get_run_metadata(run_dict)
|
|
|
|
assert metadata["_opik"] == {
|
|
"existing": "kept",
|
|
"is_internal": True,
|
|
}
|
|
|
|
|
|
def test_get_run_metadata__non_dict_opik_value__coerced_then_tagged(
|
|
langgraph_run_dicts,
|
|
):
|
|
# "_opik" is reserved; a non-dict value there must be overwritten so the tag is still
|
|
# written and the span stays matchable by the UI's hide logic.
|
|
run_dict = copy.deepcopy(langgraph_run_dicts["route"])
|
|
run_dict["extra"]["metadata"]["_opik"] = "hijacked"
|
|
|
|
metadata = run_parse_helpers.get_run_metadata(run_dict)
|
|
|
|
assert metadata["_opik"] == {"is_internal": True}
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"run_dict, expected",
|
|
[
|
|
# Graph entry/exit markers: name == langgraph_node, so only the "__" rule flags
|
|
# them. They don't surface as tracer runs in the graph above, hence explicit input.
|
|
(
|
|
{
|
|
"run_type": "chain",
|
|
"name": "__start__",
|
|
"extra": {"metadata": {"langgraph_node": "__start__"}},
|
|
},
|
|
True,
|
|
),
|
|
(
|
|
{
|
|
"run_type": "chain",
|
|
"name": "__end__",
|
|
"extra": {"metadata": {"langgraph_node": "__end__"}},
|
|
},
|
|
True,
|
|
),
|
|
# Defensive: malformed run_dicts a healthy run never produces must not raise or
|
|
# be mis-flagged.
|
|
({"run_type": "chain", "name": "x", "extra": "not-a-dict"}, False),
|
|
({"run_type": "chain", "name": "x", "extra": {"metadata": []}}, False),
|
|
(
|
|
{
|
|
"run_type": "chain",
|
|
"name": None,
|
|
"extra": {"metadata": {"langgraph_step": 1}},
|
|
},
|
|
False,
|
|
),
|
|
],
|
|
)
|
|
def test_is_internal_langgraph_run__markers_and_malformed_inputs(run_dict, expected):
|
|
assert run_parse_helpers.is_internal_langgraph_run(run_dict) is expected
|