repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_prompts.py | test_load_nonexistent_file | assert | string_literal | 10 | class TestLoadPrompt:
def test_load_nonexistent_file(self, tmp_path):
"""Test loading a file that doesn't exist returns empty string."""
from boring_semantic_layer.agents.utils.prompts import load_prompt
result = load_prompt(tmp_path, "nonexistent.md")
assert result == | "" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_yaml.py | test_database_kwarg_does_not_mutate_shared_tables | assert | string_literal | 103 | import os
import tempfile
import ibis
import pytest
from boring_semantic_layer import SemanticTable, from_config, from_yaml
def duckdb_conn():
"""Create a DuckDB connection for testing."""
return ibis.duckdb.connect()
def sample_tables(duckdb_conn):
"""Create sample tables for testing."""
# Create c... | "A" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_yaml.py | test_multiple_models_different_databases_same_table | assert | string_literal | 110 | import os
import tempfile
import ibis
import pytest
from boring_semantic_layer import SemanticTable, from_config, from_yaml
def duckdb_conn():
"""Create a DuckDB connection for testing."""
return ibis.duckdb.connect()
def sample_tables(duckdb_conn):
"""Create sample tables for testing."""
# Create c... | "B" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_filter_with_dimensions.py | test_filter_then_with_measures | assert | string_literal | 52 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""Create an in-memory DuckDB connection."""
return ibis.duckdb.connect(":memory:")
def flights(con):
"""Create a sample flights table for testing."""
df = pd.DataFrame(
{
... | "AA" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chats_cli.py | test_display_error_prints_red | assert | string_literal | 15 | from unittest.mock import Mock, patch
class TestDisplayError:
def test_display_error_prints_red(self):
"""Test that errors are displayed in red."""
from boring_semantic_layer.agents.chats.cli import display_error
with patch("boring_semantic_layer.agents.chats.cli.console") as mock_console... | "red" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_init_with_profile | assert | string_literal | 36 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | "dev" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_backends.py | test_bar_chart_categorical | assert | string_literal | 58 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | "bar" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_detect_bar_chart_categorical | assert | string_literal | 24 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | "bar" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_date_filter_fix.py | test_non_date_string_passthrough | assert | string_literal | 14 | import ibis
import pytest
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.query import Filter, query
class TestFilterValueConversion:
def test_non_date_string_passthrough(self):
"""Test that non-date strings pass through unchanged."""
f = Filter(filter={"field":... | "USA" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_unnest.py | test_unnest_preserves_other_columns | assert | string_literal | 29 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_unnest_preserves_other_columns():
"""Test that unnesting preserves other columns correctly."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"session_id": [1, 2],
... | "Bob" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_convert.py | test_serialize_dimensions_with_metadata | assert | string_literal | 49 | from __future__ import annotations
import pytest
from returns.result import Failure, Success
from boring_semantic_layer.utils import expr_to_ibis_string, ibis_string_to_expr
from boring_semantic_layer.xorq_convert import (
from_tagged,
serialize_dimensions,
serialize_measures,
to_tagged,
try_impor... | "day" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_integration.py | test_metadata_preservation | assert | string_literal | 47 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqIntegration:
def test_metadata_preservation(self):
"""Test that BSL metadata is preserved through xorq tag... | "1.0" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_langgraph_backend.py | test_init_with_profile | assert | string_literal | 42 | from unittest.mock import Mock, patch
import pytest
pytest.importorskip("langchain", reason="langchain not installed")
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"category", "region"}
mock_model.measures = {"count", "total"}
mock_model.description ... | "prod" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_query_model_chart_format_param | assert | string_literal | 41 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | "json" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_backends.py | test_single_value_indicator | assert | string_literal | 59 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | "text" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_detect_time_dimension_from_dtype_datetime64 | assert | string_literal | 31 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | "date" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_detect_line_chart_time_series | assert | string_literal | 24 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | "line" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_utils.py | test_safe_eval_multiline_with_leading_newline | assert | string_literal | 35 | from __future__ import annotations
from ibis import _
from returns.result import Failure, Success
from boring_semantic_layer.utils import (
_is_url,
expr_to_ibis_string,
ibis_string_to_expr,
safe_eval,
)
def test_safe_eval_multiline_with_leading_newline():
"""Test multiline query starting with th... | "DONE" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_clean_field_name_with_prefix | assert | string_literal | 23 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | "field" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_detect_time_dimension_from_dtype_first_match | assert | string_literal | 31 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | "date1" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_melt_dataframe_for_multiple_measures | assert | string_literal | 29 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | "value" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_detect_table_complex_query | assert | string_literal | 24 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | "table" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_unnest.py | test_unnest_preserves_other_columns | assert | string_literal | 28 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_unnest_preserves_other_columns():
"""Test that unnesting preserves other columns correctly."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"session_id": [1, 2],
... | "Alice" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_langgraph_backend.py | test_init_with_profile | assert | string_literal | 43 | from unittest.mock import Mock, patch
import pytest
pytest.importorskip("langchain", reason="langchain not installed")
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"category", "region"}
mock_model.measures = {"count", "total"}
mock_model.description ... | "plotly" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_init_with_profile | assert | string_literal | 38 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | "altair" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_description.py | test_semantic_table_description_with_dimensions_and_measures | assert | string_literal | 22 | import ibis
from boring_semantic_layer import to_semantic_table
def test_semantic_table_description_with_dimensions_and_measures():
"""Test description works alongside dimensions and measures."""
con = ibis.duckdb.connect(":memory:")
data = ibis.memtable({"origin": ["JFK", "LAX"], "distance": [100, 200]})... | "flights" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_utils.py | test_safe_eval_multiline_method_chaining | assert | string_literal | 45 | from __future__ import annotations
from ibis import _
from returns.result import Failure, Success
from boring_semantic_layer.utils import (
_is_url,
expr_to_ibis_string,
ibis_string_to_expr,
safe_eval,
)
def test_safe_eval_multiline_method_chaining():
"""Test that multiline method chaining works ... | "SUCCESS" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_md_parser.py | test_find_component_types | assert | string_literal | 18 | import tempfile
from pathlib import Path
from boring_semantic_layer.chart.md_parser import MarkdownParser
class TestMarkdownParser:
def test_find_component_types(self):
"""Test component type detection."""
content = """
<bslquery code-block="query1"/>
<altairchart code-block="query2"/>
<regularou... | "bslquery" | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_percent_of_total.py | test_percent_of_total_grand_total | pytest.approx | variable | 38 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_percent_of_total_grand_total():
con = ibis.duckdb.connect(":memory:")
flights = pd.DataFrame({"carrier": ["AA", "AA", "UA", "DL", "DL", "DL"]})
carriers = pd.DataFrame(
{"code": ["AA", "UA", ... | v) | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_date_filter_fix.py | test_trino_sql_generation | assert | variable | 25 | import ibis
import pytest
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.query import Filter, query
class TestSQLGeneration:
def test_trino_sql_generation(self):
"""Test that Trino/Athena SQL uses proper date functions."""
con = ibis.duckdb.connect(":memory:")
... | sql | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_measure_reference_styles.py | test_mixed_reference_styles | pytest.approx | variable | 36 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_mixed_reference_styles():
"""Test mixing different reference styles in the same expression."""
con = ibis.duckdb.connect(":memory:")
flights = pd.DataFrame({"carrier": ["AA", "AA", "UA"], "distance":... | p1) | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_rewrites_projection_pushdown.py | test_projection_pushdown_with_measure_referencing_columns | assert | variable | 74 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table, to_untagged
pytestmark = pytest.mark.xfail(
reason="Projection pushdown disabled for xorq vendored ibis compatibility"
)
def duckdb_con():
"""Create a DuckDB connection for testing."""
return ibis.duckdb.co... | sql | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_semantic_mcp.py | test_query_with_get_chart_false_returns_records_only | assert | variable | 99 | import json
import ibis
import pandas as pd
import pytest
from fastmcp import Client
from fastmcp.exceptions import ToolError
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def sample_models(con):... | data | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_tool_definitions_openai_format | assert | variable | 24 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | tool | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_filter_with_dimensions.py | test_filter_with_dimensions_preserves_existing | assert | variable | 47 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""Create an in-memory DuckDB connection."""
return ibis.duckdb.connect(":memory:")
def flights(con):
"""Create a sample flights table for testing."""
df = pd.DataFrame(
{
... | dims | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_xorq_roundtrip.py | test_xorq_multi_engine_with_malloy_model | assert | variable | 48 | from __future__ import annotations
import pytest
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestMalloyXorqFeatures:
def test_xorq_multi_engine_with_malloy_model(self):
"""Test that xorq expressions preserve BSL metadata across engines."""
import ... | dims | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_rewrites_projection_pushdown.py | test_projection_pushdown_three_way_join_all_notations | assert | variable | 187 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table, to_untagged
pytestmark = pytest.mark.xfail(
reason="Projection pushdown disabled for xorq vendored ibis compatibility"
)
def duckdb_con():
"""Create a DuckDB connection for testing."""
return ibis.duckdb.co... | sql3 | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_semantic_mcp.py | test_query_with_get_chart_false_returns_records_only | assert | variable | 99 | import json
import ibis
import pandas as pd
import pytest
from fastmcp import Client
from fastmcp.exceptions import ToolError
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def sample_models(con):... | data | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_convert.py | test_serialize_dimensions_with_metadata | assert | variable | 40 | from __future__ import annotations
import pytest
from returns.result import Failure, Success
from boring_semantic_layer.utils import expr_to_ibis_string, ibis_string_to_expr
from boring_semantic_layer.xorq_convert import (
from_tagged,
serialize_dimensions,
serialize_measures,
to_tagged,
try_impor... | data | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_integration.py | test_metadata_preservation | assert | variable | 53 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqIntegration:
def test_metadata_preservation(self):
"""Test that BSL metadata is preserved through xorq tag... | dims | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_string_serialization.py | test_entity_dimension_roundtrip | assert | variable | 38 | from __future__ import annotations
import ibis
import pytest
from boring_semantic_layer import to_semantic_table
def flights_data():
con = ibis.duckdb.connect(":memory:")
data = {
"origin": ["JFK", "LAX", "SFO"],
"destination": ["LAX", "JFK", "NYC"],
"distance": [100, 200, 300],
}... | dims | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_order_by_has_items_in_schema | assert | variable | 68 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | items | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_md_parser.py | test_resolve_file_includes | assert | variable | 22 | import tempfile
from pathlib import Path
from boring_semantic_layer.chart.md_parser import MarkdownParser
class TestMarkdownParser:
def test_resolve_file_includes(self):
"""Test file inclusion resolution."""
with tempfile.TemporaryDirectory() as tmpdir:
tmp_path = Path(tmpdir)
... | files | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dependency_graph.py | test_simple_dimension_dependencies | assert | variable | 28 | import ibis
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.graph_utils import (
graph_bfs,
graph_invert,
graph_predecessors,
graph_successors,
graph_to_dict,
)
def test_simple_dimension_dependencies():
"""Test that dimensions track their column dependencies.... | graph | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dependency_graph.py | test_to_dict_export | assert | variable | 54 | import ibis
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.graph_utils import (
graph_bfs,
graph_invert,
graph_predecessors,
graph_successors,
graph_to_dict,
)
def test_to_dict_export():
"""Test exporting graph to dictionary format."""
tbl = ibis.memtabl... | edges | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_graph_utils.py | test_bfs_and_gen_children_of_simple_expr | assert | variable | 27 | import ibis
import pytest
from ibis.expr.operations.relations import Aggregate
from boring_semantic_layer.expr import SemanticModel
from boring_semantic_layer.graph_utils import (
bfs,
find_dimensions_and_measures,
find_entity_dimensions,
find_event_timestamp_dimensions,
gen_children_of,
replac... | graph | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_mcp_json_parsing.py | test_order_by_has_items_in_schema | assert | variable | 68 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | items | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_schema_structure_compatible_with_azure_openai | assert | variable | 52 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | schema | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_list_type_generates_better_schema_than_sequence | assert | variable | 59 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | option | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_end_to_end_claude_desktop_query | assert | variable | 67 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | record | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_prompts.py | test_load_with_unicode | assert | variable | 13 | class TestLoadPrompt:
def test_load_with_unicode(self, tmp_path):
"""Test loading a file with unicode characters."""
from boring_semantic_layer.agents.utils.prompts import load_prompt
test_file = tmp_path / "unicode.md"
test_file.write_text("# Test\n\nUnicode: \u2713 \u2717 \U0001f... | result | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_execute_unknown_tool | assert | variable | 30 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | result | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_backends.py | test_plotly_json_format | assert | variable | 58 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | parsed | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_chart.py | test_chart_json_format_plotly | assert | variable | 61 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | parsed | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_doc_builder.py | test_dynamic_routes | assert | variable | 23 | import sys
import tempfile
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent / "docs" / "md"))
from validate_links import (
extract_markdown_links,
extract_routes_from_app_tsx,
validate_links,
)
class TestExtractRoutesFromAppTsx:
def test... | routes | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_md_executor.py | test_bsl_query_execution | assert | variable | 17 | from boring_semantic_layer.chart.md_parser import QueryExecutor
class TestQueryExecutor:
def test_bsl_query_execution(self):
"""Test execution of BSL query with .execute()."""
executor = QueryExecutor()
code = """
import ibis
from boring_semantic_layer import to_semantic_table
t = ibis.me... | result | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_convert_datetime_to_strings | assert | variable | 25 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | object | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_chart.py | test_chart_json_format_plotly | assert | variable | 61 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def flights_model(con):
"""Create a sample flights semantic table for testing."""
flights_df = pd.DataFrame(
... | parsed | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dependency_groups.py | test_xorq_convert_module_has_error_handling | assert | variable | 17 | import sys
from pathlib import Path
import pytest
class TestXorqErrorMessages:
def test_xorq_convert_module_has_error_handling(self):
"""Verify xorq_convert module has ImportError handling."""
import inspect
from boring_semantic_layer import xorq_convert
# Check that to_tagged r... | source | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_percent_of_total.py | test_percent_of_total_grand_total | assert | complex_expr | 38 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_percent_of_total_grand_total():
con = ibis.duckdb.connect(":memory:")
flights = pd.DataFrame({"carrier": ["AA", "AA", "UA", "DL", "DL", "DL"]})
carriers = pd.DataFrame(
{"code": ["AA", "UA", ... | got[k] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_filter_with_dimensions.py | test_filter_then_with_dimensions | assert | complex_expr | 53 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""Create an in-memory DuckDB connection."""
return ibis.duckdb.connect(":memory:")
def flights(con):
"""Create a sample flights table for testing."""
df = pd.DataFrame(
{
... | df.columns | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_join_prefixing.py | test_chained_joins_projection_pushdown | assert | complex_expr | 115 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def ecommerce_tables(con):
"""Create a realistic e-commerce schema with multiple tables."""
# Orders table
ord... | df.columns | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_backends.py | test_duckdb_backend_basic_execution | assert | complex_expr | 31 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqDuckDBBackend:
def test_duckdb_backend_basic_execution(self):
"""Test executing a simple semantic model wi... | df.columns | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_integration.py | test_xorq_expression_execution | assert | complex_expr | 32 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqIntegration:
def test_xorq_expression_execution(self):
"""Test that converted xorq expression can be execu... | df.columns | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_cli_skill.py | test_shows_checkmarks_for_existing_skills | assert | complex_expr | 27 | import re
import subprocess
from argparse import Namespace
from pathlib import Path
import pytest
from boring_semantic_layer.agents.cli import (
TOOL_CONFIGS,
_discover_skills_for_tool,
_get_skills_dir,
cmd_skill_install,
cmd_skill_list,
cmd_skill_show,
)
class TestCmdSkillList:
def test... | captured.out | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_join_prefixing.py | test_dimension_prefixing_on_join | assert | complex_expr | 93 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def ecommerce_tables(con):
"""Create a realistic e-commerce schema with multiple tables."""
# Orders table
ord... | joined._dims | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_convert.py | test_serialize_measures_with_metadata | assert | complex_expr | 41 | from __future__ import annotations
import pytest
from returns.result import Failure, Success
from boring_semantic_layer.utils import expr_to_ibis_string, ibis_string_to_expr
from boring_semantic_layer.xorq_convert import (
from_tagged,
serialize_dimensions,
serialize_measures,
to_tagged,
try_impor... | data["total"] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_join_prefixing.py | test_conflicting_measure_names_both_accessible | assert | complex_expr | 88 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def ecommerce_tables(con):
"""Create a realistic e-commerce schema with multiple tables."""
# Orders table
ord... | result.columns | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_real_world_scenarios.py | test_customer_lifetime_value | assert | complex_expr | 143 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
class TestEcommerceAnalytics:
def ecommerce_data(self, con):
"""Setup e-commerce test data."""
# User... | result.columns | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_lazy_imports.py | test_backends_package_import_without_langchain | assert | complex_expr | 14 | class TestLazyImportsIssue145:
def test_backends_package_import_without_langchain(self):
"""Importing agents.backends should not fail when langchain is missing.
The fix uses __getattr__ to lazily import LangGraphBackend only when accessed.
"""
# Import the backends package - should... | backends.__all__ | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_description.py | test_to_semantic_table_without_description | assert | complex_expr | 16 | import ibis
from boring_semantic_layer import to_semantic_table
def test_to_semantic_table_without_description():
"""Test that to_semantic_table works without description (backward compatibility)."""
con = ibis.duckdb.connect(":memory:")
data = ibis.memtable({"a": [1, 2, 3], "b": ["x", "y", "z"]})
tbl... | st.json_definition | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_chats_cli.py | test_display_thinking_dim_italic | assert | complex_expr | 15 | from unittest.mock import Mock, patch
class TestDisplayThinking:
def test_display_thinking_dim_italic(self):
"""Test that thinking text is displayed in dim italic."""
from boring_semantic_layer.agents.chats.cli import display_thinking
with patch("boring_semantic_layer.agents.chats.cli.con... | call_kwargs["style"] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_description.py | test_semantic_table_description_with_dimensions_and_measures | assert | complex_expr | 24 | import ibis
from boring_semantic_layer import to_semantic_table
def test_semantic_table_description_with_dimensions_and_measures():
"""Test description works alongside dimensions and measures."""
con = ibis.duckdb.connect(":memory:")
data = ibis.memtable({"origin": ["JFK", "LAX"], "distance": [100, 200]})... | json_def["measures"] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_cli_skill.py | test_returns_empty_for_unknown_tool | assert | collection | 23 | import re
import subprocess
from argparse import Namespace
from pathlib import Path
import pytest
from boring_semantic_layer.agents.cli import (
TOOL_CONFIGS,
_discover_skills_for_tool,
_get_skills_dir,
cmd_skill_install,
cmd_skill_list,
cmd_skill_show,
)
class TestDiscoverSkillsForTool:
... | [] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_langgraph_backend.py | test_init_empty_history | assert | collection | 35 | from unittest.mock import Mock, patch
import pytest
pytest.importorskip("langchain", reason="langchain not installed")
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"category", "region"}
mock_model.measures = {"count", "total"}
mock_model.description ... | [] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_semantic_mcp.py | test_init_empty_models | assert | collection | 86 | import json
import ibis
import pandas as pd
import pytest
from fastmcp import Client
from fastmcp.exceptions import ToolError
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def sample_models(con):... | {} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_tools.py | test_list_models_tool_definition | assert | collection | 23 | import json
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from returns.result import Failure, Success
def mock_models():
"""Mock semantic models."""
mock_model = Mock()
mock_model.dimensions = {"carrier", "origin", "destination"}
mock_model.measures = {"flight_count", "a... | [] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_doc_builder.py | test_extract_simple_route | assert | collection | 24 | import sys
import tempfile
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent / "docs" / "md"))
from validate_links import (
extract_markdown_links,
extract_routes_from_app_tsx,
validate_links,
)
class TestExtractRoutesFromAppTsx:
def test... | {} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_doc_builder.py | test_valid_links | assert | collection | 24 | import sys
import tempfile
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent / "docs" / "md"))
from validate_links import (
extract_markdown_links,
extract_routes_from_app_tsx,
validate_links,
)
class TestValidateLinks:
def test_valid_lin... | [] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_dependency_graph.py | test_empty_semantic_table | assert | collection | 25 | import ibis
from boring_semantic_layer.api import to_semantic_table
from boring_semantic_layer.graph_utils import (
graph_bfs,
graph_invert,
graph_predecessors,
graph_successors,
graph_to_dict,
)
def test_empty_semantic_table():
"""Test graph for a semantic table with no dimensions or measures... | {} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_graph_utils.py | test_find_dimensions_and_measures_no_semantic_table | assert | collection | 22 | import ibis
import pytest
from ibis.expr.operations.relations import Aggregate
from boring_semantic_layer.expr import SemanticModel
from boring_semantic_layer.graph_utils import (
bfs,
find_dimensions_and_measures,
find_entity_dimensions,
find_event_timestamp_dimensions,
gen_children_of,
replac... | {} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_introspection.py | test_empty_semantic_table | assert | collection | 15 | import ibis
import pandas as pd
from boring_semantic_layer import to_semantic_table
def test_empty_semantic_table():
"""Test that an empty semantic table has no dimensions or measures."""
con = ibis.duckdb.connect(":memory:")
df = pd.DataFrame({"col1": [1, 2, 3]})
tbl = con.create_table("test", df)
... | () | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_semantic_mcp.py | test_init_empty_models | assert | collection | 86 | import json
import ibis
import pandas as pd
import pytest
from fastmcp import Client
from fastmcp.exceptions import ToolError
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
def con():
"""DuckDB connection for all tests."""
return ibis.duckdb.connect(":memory:")
def sample_models(con):... | {} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_convert.py | test_serialize_empty_dimensions | assert | collection | 21 | from __future__ import annotations
import pytest
from returns.result import Failure, Success
from boring_semantic_layer.utils import expr_to_ibis_string, ibis_string_to_expr
from boring_semantic_layer.xorq_convert import (
from_tagged,
serialize_dimensions,
serialize_measures,
to_tagged,
try_impor... | {} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_convert.py | test_serialize_measures_with_metadata | assert | collection | 40 | from __future__ import annotations
import pytest
from returns.result import Failure, Success
from boring_semantic_layer.utils import expr_to_ibis_string, ibis_string_to_expr
from boring_semantic_layer.xorq_convert import (
from_tagged,
serialize_dimensions,
serialize_measures,
to_tagged,
try_impor... | [] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_utils.py | test_pivot_dataframe_for_heatmap | assert | collection | 32 | import pandas as pd
import pytest
from boring_semantic_layer.chart.utils import (
clean_field_name,
convert_datetime_to_strings,
detect_chart_type_generic,
detect_time_dimension_from_dtype,
get_non_time_dimensions,
has_time_dimension,
melt_dataframe_for_multiple_measures,
pivot_datafram... | (2, 2) | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_malloy_xorq_roundtrip.py | test_sessionization_model_roundtrip | assert | collection | 70 | from __future__ import annotations
import pytest
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestMalloyModelsRoundTrip:
def test_sessionization_model_roundtrip(self):
"""Test sessionization pattern from test_malloy_inspired.py."""
import ibis
... | [1, 2] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_unnest.py | test_unnest_with_filter | assert | collection | 26 | import ibis
import pandas as pd
import pytest
from boring_semantic_layer import to_semantic_table
def test_unnest_with_filter():
"""Test filtering after unnesting."""
con = ibis.duckdb.connect(":memory:")
data = pd.DataFrame(
{
"id": [1, 2],
"values": [[10, 20, 30], [5, 15... | [20, 30] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_convert.py | test_serialize_measures_with_metadata | assert | collection | 46 | from __future__ import annotations
import pytest
from returns.result import Failure, Success
from boring_semantic_layer.utils import expr_to_ibis_string, ibis_string_to_expr
from boring_semantic_layer.xorq_convert import (
from_tagged,
serialize_dimensions,
serialize_measures,
to_tagged,
try_impor... | ["tags"] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_doc_builder.py | test_extract_link_with_anchor | assert | collection | 23 | import sys
import tempfile
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent / "docs" / "md"))
from validate_links import (
extract_markdown_links,
extract_routes_from_app_tsx,
validate_links,
)
class TestExtractMarkdownLinks:
def test_ex... | {"/page"} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_doc_builder.py | test_deduplicate_links | assert | collection | 30 | import sys
import tempfile
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent / "docs" / "md"))
from validate_links import (
extract_markdown_links,
extract_routes_from_app_tsx,
validate_links,
)
class TestExtractMarkdownLinks:
def test_de... | {"/path"} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_utils.py | test_safe_list_operations | assert | collection | 17 | from __future__ import annotations
from ibis import _
from returns.result import Failure, Success
from boring_semantic_layer.utils import (
_is_url,
expr_to_ibis_string,
ibis_string_to_expr,
safe_eval,
)
def test_safe_list_operations():
result = safe_eval("[1, 2, 3]")
assert isinstance(result... | [1, 2, 3] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_backends.py | test_duckdb_filtered_query | assert | collection | 32 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqDuckDBBackend:
def test_duckdb_filtered_query(self):
"""Test filtered query with xorq backend."""
... | [3, 4, 5] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_backends.py | test_pandas_backend_execution | assert | collection | 27 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqPandasBackend:
def test_pandas_backend_execution(self):
"""Test executing with Pandas backend."""
... | [1, 2, 3] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_backends.py | test_pandas_backend_execution | assert | collection | 28 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqPandasBackend:
def test_pandas_backend_execution(self):
"""Test executing with Pandas backend."""
... | [4, 5, 6] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_xorq_integration.py | test_xorq_expression_execution | assert | collection | 34 | from __future__ import annotations
import pytest
from boring_semantic_layer import SemanticModel
from boring_semantic_layer.xorq_convert import from_tagged, to_tagged, try_import_xorq
class TestXorqIntegration:
def test_xorq_expression_execution(self):
"""Test that converted xorq expression can be execu... | [1, 2, 3] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_doc_builder.py | test_ignore_wildcard_and_root | assert | collection | 29 | import sys
import tempfile
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent / "docs" / "md"))
from validate_links import (
extract_markdown_links,
extract_routes_from_app_tsx,
validate_links,
)
class TestExtractRoutesFromAppTsx:
def test... | {"/valid"} | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/chart/tests/test_md_executor.py | test_bsl_query_execution | assert | collection | 19 | from boring_semantic_layer.chart.md_parser import QueryExecutor
class TestQueryExecutor:
def test_bsl_query_execution(self):
"""Test execution of BSL query with .execute()."""
executor = QueryExecutor()
code = """
import ibis
from boring_semantic_layer import to_semantic_table
t = ibis.me... | ["x", "y"] | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/tests/test_introspection.py | test_dims_and_measures_together | assert | collection | 22 | import ibis
import pandas as pd
from boring_semantic_layer import to_semantic_table
def test_dims_and_measures_together():
"""Test that both dimensions and measures can be inspected together."""
con = ibis.duckdb.connect(":memory:")
df = pd.DataFrame({"carrier": ["AA", "UA"], "distance": [100, 200]})
... | ("carrier",) | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
boringdata/boring-semantic-layer | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | train | train | src/boring_semantic_layer/agents/tests/test_mcp_json_parsing.py | test_none_values_work | assert | none_literal | 52 | import json
from typing import Annotated, Any
import ibis
import pytest
from pydantic import TypeAdapter, ValidationError
from pydantic.functional_validators import BeforeValidator
from boring_semantic_layer import MCPSemanticModel, to_semantic_table
pytestmark = pytest.mark.anyio
def anyio_backend():
return "a... | None | 1f50c3b8a2e2293fe9fde570bed71d0fa5e84b5d | 48 | v2_extractor_at_anchor |
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