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from __future__ import annotations
import gc
from pathlib import Path
from time import perf_counter
import pandas as pd
import polars as pl
from textual.app import App, ComposeResult
from textual.driver import Driver
from textual.pilot import Pilot
from textual.types import CSSPathType
from textual.widgets import DataTable as BuiltinDataTable
from textual_fastdatatable import ArrowBackend
from textual_fastdatatable import DataTable as FastDataTable
from textual_fastdatatable.backend import PolarsBackend
BENCHMARK_DATA = Path(__file__).parent.parent / "tests" / "data"
async def scroller(pilot: Pilot) -> None:
first_paint = perf_counter() - pilot.app.start # type: ignore
for _ in range(5):
await pilot.press("pagedown")
for _ in range(15):
await pilot.press("right")
for _ in range(5):
await pilot.press("pagedown")
elapsed = perf_counter() - pilot.app.start # type: ignore
pilot.app.exit(result=(first_paint, elapsed))
class BuiltinApp(App):
TITLE = "Built-In DataTable"
def __init__(
self,
data_path: Path,
driver_class: type[Driver] | None = None,
css_path: CSSPathType | None = None,
watch_css: bool = False,
):
super().__init__(driver_class, css_path, watch_css)
self.data_path = data_path
def compose(self) -> ComposeResult:
df = pd.read_parquet(self.data_path)
rows = [tuple(row) for row in df.itertuples(index=False)]
self.start = perf_counter()
table: BuiltinDataTable = BuiltinDataTable()
table.add_columns(*[str(col) for col in df.columns])
for row in rows:
table.add_row(*row, height=1, label=None)
yield table
class ArrowBackendApp(App):
TITLE = "FastDataTable (Arrow from Parquet)"
def __init__(
self,
data_path: Path,
driver_class: type[Driver] | None = None,
css_path: CSSPathType | None = None,
watch_css: bool = False,
):
super().__init__(driver_class, css_path, watch_css)
self.data_path = data_path
def compose(self) -> ComposeResult:
self.start = perf_counter()
yield FastDataTable(data=self.data_path)
class ArrowBackendAppFromRecords(App):
TITLE = "FastDataTable (Arrow from Records)"
def __init__(
self,
data_path: Path,
driver_class: type[Driver] | None = None,
css_path: CSSPathType | None = None,
watch_css: bool = False,
):
super().__init__(driver_class, css_path, watch_css)
self.data_path = data_path
def compose(self) -> ComposeResult:
df = pd.read_parquet(self.data_path)
rows = [tuple(row) for row in df.itertuples(index=False)]
self.start = perf_counter()
backend = ArrowBackend.from_records(rows, has_header=False)
table = FastDataTable(
backend=backend, column_labels=[str(col) for col in df.columns]
)
yield table
class PolarsBackendApp(App):
TITLE = "FastDataTable (Polars from Parquet)"
def __init__(
self,
data_path: Path,
driver_class: type[Driver] | None = None,
css_path: CSSPathType | None = None,
watch_css: bool = False,
):
super().__init__(driver_class, css_path, watch_css)
self.data_path = data_path
def compose(self) -> ComposeResult:
self.start = perf_counter()
yield FastDataTable(
data=PolarsBackend.from_dataframe(pl.read_parquet(self.data_path))
)
if __name__ == "__main__":
app_defs = [
BuiltinApp,
ArrowBackendApp,
ArrowBackendAppFromRecords,
PolarsBackendApp,
]
bench = [
(f"lap_times_{n}.parquet", 3 if n <= 10000 else 1)
for n in [100, 1000, 10000, 100000, 538121]
]
bench.extend([(f"wide_{n}.parquet", 1) for n in [10000, 100000]])
with open("results.md", "w") as f:
print(
"Records |",
" | ".join([a.TITLE for a in app_defs]), # type: ignore
sep="",
file=f,
)
print("--------|", "|".join(["--------" for _ in app_defs]), sep="", file=f)
for p, tries in bench:
first_paint: list[list[float]] = [list() for _ in app_defs]
elapsed: list[list[float]] = [list() for _ in app_defs]
for i, app_cls in enumerate(app_defs):
for _ in range(tries):
app = app_cls(BENCHMARK_DATA / p)
gc.disable()
fp, el = app.run(headless=True, auto_pilot=scroller) # type: ignore
gc.collect()
first_paint[i].append(fp)
elapsed[i].append(el)
gc.enable()
avg_first_paint = [sum(app_times) / tries for app_times in first_paint]
avg_elapsed = [sum(app_times) / tries for app_times in elapsed]
formatted = [
f"{fp:7,.3f}s / {el:7,.3f}s"
for fp, el in zip(avg_first_paint, avg_elapsed)
]
print(f"{p} | {' | '.join(formatted)}", file=f)
|
