95 lines
3.2 KiB
Python
95 lines
3.2 KiB
Python
|
from __future__ import annotations
|
||
|
|
|
||
|
|
from datetime import datetime, timedelta, timezone
|
||
|
|
from pathlib import Path
|
||
|
|
from typing import Sequence
|
||
|
|
|
||
|
|
import pyarrow as pa
|
||
|
|
from textual_fastdatatable import ArrowBackend
|
||
|
|
|
||
|
|
|
||
|
|
def test_from_records(records: list[tuple[str | int, ...]]) -> None:
|
||
|
|
backend = ArrowBackend.from_records(records, has_header=True)
|
||
|
|
assert backend.column_count == 3
|
||
|
|
assert backend.row_count == 5
|
||
|
|
assert tuple(backend.columns) == records[0]
|
||
|
|
|
||
|
|
|
||
|
|
def test_from_records_no_header(records: list[tuple[str | int, ...]]) -> None:
|
||
|
|
backend = ArrowBackend.from_records(records[1:], has_header=False)
|
||
|
|
assert backend.column_count == 3
|
||
|
|
assert backend.row_count == 5
|
||
|
|
assert tuple(backend.columns) == ("f0", "f1", "f2")
|
||
|
|
|
||
|
|
|
||
|
|
def test_from_pydict(pydict: dict[str, Sequence[str | int]]) -> None:
|
||
|
|
backend = ArrowBackend.from_pydict(pydict)
|
||
|
|
assert backend.column_count == 3
|
||
|
|
assert backend.row_count == 5
|
||
|
|
assert backend.source_row_count == 5
|
||
|
|
assert tuple(backend.columns) == tuple(pydict.keys())
|
||
|
|
|
||
|
|
|
||
|
|
def test_from_pydict_with_limit(pydict: dict[str, Sequence[str | int]]) -> None:
|
||
|
|
backend = ArrowBackend.from_pydict(pydict, max_rows=2)
|
||
|
|
assert backend.column_count == 3
|
||
|
|
assert backend.row_count == 2
|
||
|
|
assert backend.source_row_count == 5
|
||
|
|
assert tuple(backend.columns) == tuple(pydict.keys())
|
||
|
|
|
||
|
|
|
||
|
|
def test_from_parquet(pydict: dict[str, Sequence[str | int]], tmp_path: Path) -> None:
|
||
|
|
tbl = pa.Table.from_pydict(pydict)
|
||
|
|
p = tmp_path / "test.parquet"
|
||
|
|
pa.parquet.write_table(tbl, str(p))
|
||
|
|
|
||
|
|
backend = ArrowBackend.from_parquet(p)
|
||
|
|
assert backend.data.equals(tbl)
|
||
|
|
|
||
|
|
|
||
|
|
def test_empty_query() -> None:
|
||
|
|
data: dict[str, list] = {"a": []}
|
||
|
|
backend = ArrowBackend.from_pydict(data)
|
||
|
|
assert backend.column_content_widths == [0]
|
||
|
|
|
||
|
|
|
||
|
|
def test_dupe_column_labels() -> None:
|
||
|
|
arr = pa.array([0, 1, 2, 3])
|
||
|
|
tab = pa.table([arr] * 3, names=["a", "a", "a"])
|
||
|
|
backend = ArrowBackend(data=tab)
|
||
|
|
assert backend.column_count == 3
|
||
|
|
assert backend.row_count == 4
|
||
|
|
assert backend.get_row_at(2) == [2, 2, 2]
|
||
|
|
|
||
|
|
|
||
|
|
def test_timestamp_with_tz() -> None:
|
||
|
|
"""
|
||
|
|
Ensure datetimes with offsets but no names do not crash the data table
|
||
|
|
when casting to string.
|
||
|
|
"""
|
||
|
|
dt = datetime(2024, 1, 1, hour=15, tzinfo=timezone(offset=timedelta(hours=-5)))
|
||
|
|
arr = pa.array([dt, dt, dt])
|
||
|
|
tab = pa.table([arr], names=["created_at"])
|
||
|
|
backend = ArrowBackend(data=tab)
|
||
|
|
assert backend.column_content_widths == [29]
|
||
|
|
|
||
|
|
|
||
|
|
def test_mixed_types() -> None:
|
||
|
|
data = [(1000,), ("hi",)]
|
||
|
|
backend = ArrowBackend.from_records(records=data)
|
||
|
|
assert backend
|
||
|
|
assert backend.row_count == 2
|
||
|
|
assert backend.get_row_at(0) == ["1000"]
|
||
|
|
assert backend.get_row_at(1) == ["hi"]
|
||
|
|
|
||
|
|
|
||
|
|
def test_negative_timestamps() -> None:
|
||
|
|
dt = datetime(1, 1, 1, tzinfo=timezone.utc)
|
||
|
|
arr = pa.array([dt, dt, dt], type=pa.timestamp("s", tz="America/New_York"))
|
||
|
|
tab = pa.table([arr], names=["created_at"])
|
||
|
|
backend = ArrowBackend(data=tab)
|
||
|
|
assert backend.column_content_widths == [26]
|
||
|
|
assert backend.get_column_at(0) == [datetime.min, datetime.min, datetime.min]
|
||
|
|
assert backend.get_row_at(0) == [datetime.min]
|
||
|
|
assert backend.get_cell_at(0, 0) is datetime.min
|