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__init__.py
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from __future__ import annotations
import json
from typing import Any, Union
import altair
import narwhals as nw
from narwhals.typing import IntoFrame
from ggsql._ggsql import (
DuckDBReader,
VegaLiteWriter as _RustVegaLiteWriter,
Validated,
Spec,
validate,
execute,
)
# PyO3 classes default to __module__ = "builtins"; point them at their real
# home so docs tooling (great-docs/griffe) can locate them.
for _cls in (DuckDBReader, _RustVegaLiteWriter, Validated, Spec):
_cls.__module__ = "ggsql._ggsql"
del _cls
__all__ = [
# Classes
"DuckDBReader",
"VegaLiteWriter",
"Validated",
"Spec",
# Functions
"validate",
"execute",
"render_altair",
]
__version__ = "0.2.7"
# Type alias for any Altair chart type
AltairChart = Union[
altair.Chart,
altair.LayerChart,
altair.FacetChart,
altair.ConcatChart,
altair.HConcatChart,
altair.VConcatChart,
altair.RepeatChart,
]
def _json_to_altair_chart(vegalite_json: str, **kwargs: Any) -> AltairChart:
"""Convert a Vega-Lite JSON string to the appropriate Altair chart type."""
spec = json.loads(vegalite_json)
if "layer" in spec:
return altair.LayerChart.from_json(vegalite_json, **kwargs)
elif "facet" in spec or "spec" in spec:
return altair.FacetChart.from_json(vegalite_json, **kwargs)
elif "concat" in spec:
return altair.ConcatChart.from_json(vegalite_json, **kwargs)
elif "hconcat" in spec:
return altair.HConcatChart.from_json(vegalite_json, **kwargs)
elif "vconcat" in spec:
return altair.VConcatChart.from_json(vegalite_json, **kwargs)
elif "repeat" in spec:
return altair.RepeatChart.from_json(vegalite_json, **kwargs)
else:
return altair.Chart.from_json(vegalite_json, **kwargs)
class VegaLiteWriter:
"""Vega-Lite v6 JSON output writer.
Methods
-------
render(spec)
Render a Spec to a Vega-Lite JSON string.
render_chart(spec, **kwargs)
Render a Spec to an Altair chart object.
"""
def __init__(self) -> None:
self._inner = _RustVegaLiteWriter()
def render(self, spec: Spec) -> str:
"""Render a Spec to a Vega-Lite JSON string."""
return self._inner.render(spec)
def render_chart(self, spec: Spec, **kwargs: Any) -> AltairChart:
"""Render a Spec to an Altair chart object.
Parameters
----------
spec
The resolved visualization specification from ``reader.execute()``.
**kwargs
Additional keyword arguments passed to ``altair.Chart.from_json()``.
Common options include ``validate=False`` to skip schema validation.
Returns
-------
AltairChart
An Altair chart object (Chart, LayerChart, FacetChart, etc.).
"""
vegalite_json = self.render(spec)
return _json_to_altair_chart(vegalite_json, **kwargs)
def render_altair(
df: IntoFrame,
viz: str,
**kwargs: Any,
) -> AltairChart:
"""Render a DataFrame with a VISUALISE spec to an Altair chart.
Parameters
----------
df
Data to visualize. Accepts polars, pandas, or any narwhals-compatible
DataFrame. LazyFrames are collected automatically.
viz
VISUALISE spec string (e.g., "VISUALISE x, y DRAW point")
**kwargs
Additional keyword arguments passed to `from_json()`.
Common options include `validate=False` to skip schema validation.
Returns
-------
AltairChart
An Altair chart object (Chart, LayerChart, FacetChart, etc.).
"""
df = nw.from_native(df, pass_through=True)
if isinstance(df, nw.LazyFrame):
df = df.collect()
if not isinstance(df, nw.DataFrame):
raise TypeError("df must be a narwhals DataFrame or compatible type")
pl_df = df.to_polars()
# Create temporary reader and register data
reader = DuckDBReader("duckdb://memory")
reader.register("__data__", pl_df)
# Build full query: SELECT * FROM __data__ + VISUALISE clause
query = f"SELECT * FROM __data__ {viz}"
# Execute and render
spec = reader.execute(query)
writer = VegaLiteWriter()
vegalite_json = writer.render(spec)
return _json_to_altair_chart(vegalite_json, **kwargs)