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Fix the CI (#529)
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hoxbro authored Apr 5, 2024
1 parent 6c1e972 commit 7f20ec3
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Showing 7 changed files with 118 additions and 71 deletions.
2 changes: 1 addition & 1 deletion .github/workflows/docs.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ jobs:
env:
DESC: "Documentation build"
steps:
- uses: holoviz-dev/holoviz_tasks/install@v0.1a15
- uses: holoviz-dev/holoviz_tasks/install@v0
with:
name: Documentation
python-version: "3.10"
Expand Down
113 changes: 79 additions & 34 deletions .github/workflows/test.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -5,10 +5,23 @@ on:
- main
pull_request:
branches:
- '*'
- "*"
workflow_dispatch:
inputs:
target:
description: "How much of the test suite to run"
type: choice
default: default
options:
- default
- full
- downstream
cache:
description: "Use cache"
type: boolean
default: true
schedule:
- cron: '0 17 * * SUN'
- cron: "0 17 * * SUN"

concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
Expand All @@ -17,33 +30,75 @@ concurrency:
jobs:
pre_commit:
name: Run pre-commit
runs-on: 'ubuntu-latest'
runs-on: "ubuntu-latest"
steps:
- uses: holoviz-dev/holoviz_tasks/[email protected]
- uses: holoviz-dev/holoviz_tasks/pre-commit@v0

setup:
name: Setup workflow
runs-on: ubuntu-latest
outputs:
matrix: ${{ env.MATRIX }}
steps:
- name: Set matrix option
run: |
if [[ '${{ github.event_name }}' == 'workflow_dispatch' ]]; then
OPTION=${{ github.event.inputs.target }}
elif [[ '${{ github.event_name }}' == 'schedule' ]]; then
OPTION="full"
elif [[ '${{ github.event_name }}' == 'push' && '${{ github.ref_type }}' == 'tag' ]]; then
OPTION="full"
else
OPTION="default"
fi
echo "MATRIX_OPTION=$OPTION" >> $GITHUB_ENV
- name: Set test matrix with 'default' option
if: env.MATRIX_OPTION == 'default'
run: |
MATRIX=$(jq -nsc '{
"os": ["ubuntu-latest", "macos-latest", "windows-latest"],
"python-version": ["3.9", "3.12"]
}')
echo "MATRIX=$MATRIX" >> $GITHUB_ENV
- name: Set test matrix with 'full' option
if: env.MATRIX_OPTION == 'full'
run: |
MATRIX=$(jq -nsc '{
"os": ["ubuntu-latest", "macos-latest", "windows-latest"],
"python-version": ["3.9", "3.10", "3.11", "3.12"]
}')
echo "MATRIX=$MATRIX" >> $GITHUB_ENV
- name: Set test matrix with 'downstream' option
if: env.MATRIX_OPTION == 'downstream'
run: |
MATRIX=$(jq -nsc '{
"os": ["ubuntu-latest"],
"python-version": ["3.11"]
}')
echo "MATRIX=$MATRIX" >> $GITHUB_ENV
unit_test_suite:
name: Pytest on ${{ matrix.python-version }}, ${{ matrix.os }}
needs: [pre_commit]
name: Unit tests on Python ${{ matrix.python-version }}, ${{ matrix.os }}
needs: [pre_commit, setup]
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: ['ubuntu-latest', 'macos-latest', 'windows-latest']
python-version: ${{ ( github.event_name == 'schedule' || github.event_name == 'workflow_dispatch' || ( github.event_name == 'push' && github.ref_type == 'tag' ) ) && fromJSON('["3.9", "3.10", "3.11"]') || fromJSON('["3.9", "3.10", "3.11"]') }}
matrix: ${{ fromJson(needs.setup.outputs.matrix) }}
timeout-minutes: 60
defaults:
run:
shell: bash -l {0}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: holoviz-dev/holoviz_tasks/install@v0.1a18
- uses: holoviz-dev/holoviz_tasks/install@v0
with:
name: unit_test_suite
python-version: ${{ matrix.python-version }}
channel-priority: flexible
channels: pyviz/label/dev,bokeh,conda-forge,nodefaults
envs: -o tests -o sql -o tests_ci
cache: true
cache: ${{ github.event.inputs.cache || github.event.inputs.cache == '' }}
id: install
- name: doit test_unit
run: |
Expand All @@ -53,15 +108,16 @@ jobs:
run: |
conda activate test-environment
codecov
core_test_suite:
name: Core tests on Python ${{ matrix.python-version }}, ${{ matrix.os }}
needs: [pre_commit]
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: ['ubuntu-latest']
python-version: ['3.12']
os: ["ubuntu-latest"]
python-version: ["3.12"]
timeout-minutes: 120
defaults:
run:
Expand All @@ -70,28 +126,17 @@ jobs:
DESC: "Python ${{ matrix.python-version }}, ${{ matrix.os }} core tests"
PYTHON_VERSION: ${{ matrix.python-version }}
steps:
# Add back when this works on Python 3.12
# - uses: holoviz-dev/holoviz_tasks/[email protected]
# with:
# name: core_test_suite
# python-version: ${{ matrix.python-version }}
# # channel-priority: strict
# channels: pyviz/label/dev,conda-forge,nodefaults
# envs: "-o tests_core -o tests_ci"
# cache: true
# conda-update: true
# id: install
- uses: actions/checkout@v3
with:
fetch-depth: "100"
- name: Fetch unshallow
run: git fetch --prune --tags --unshallow -f
- uses: actions/setup-python@v4
- uses: holoviz-dev/holoviz_tasks/install@v0
with:
python-version: 3.12
- run: |
python -m pip install -ve '.[tests, tests_ci]'
name: core_test_suite
python-version: ${{ matrix.python-version }}
# channel-priority: strict
channels: pyviz/label/dev,conda-forge,nodefaults
envs: "-o tests -o tests_ci"
cache: ${{ github.event.inputs.cache || github.event.inputs.cache == '' }}
conda-update: true
id: install
- name: doit test_unit
run: |
# conda activate test-environment
conda activate test-environment
pytest lumen
24 changes: 19 additions & 5 deletions lumen/tests/conftest.py
Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
import contextlib
import os
import tempfile

Expand All @@ -8,13 +9,20 @@
import pytest

from bokeh.document import Document # type: ignore
from hvplot.tests.util import makeMixedDataFrame

from lumen.config import config
from lumen.sources.base import FileSource, Source
from lumen.state import state
from lumen.variables.base import Variables

pd.set_option('mode.string_storage', 'pyarrow')
with contextlib.suppress(Exception):
# From Dask 2024.3.0 they now use `dask_expr` by default
# https://github.com/dask/dask/issues/10995
import dask

dask.config.set({"dataframe.query-planning": False})


@pytest.fixture
def set_root():
Expand Down Expand Up @@ -44,11 +52,11 @@ def make_variable_filesource():
def create(root, **kwargs):
config._root = root
state._variable = Variables.from_spec({'tables': {'type': 'constant', 'default': {'test': 'test.csv'}}})
source = Source.from_spec(dict({
source = Source.from_spec({
'type': 'file',
'tables': '$variables.tables',
'kwargs': {'parse_dates': ['D']}
}))
})
state.sources['original'] = source
return source
yield create
Expand All @@ -61,14 +69,20 @@ def create(root, **kwargs):
@pytest.fixture
def mixed_df():
pytest.importorskip("pyarrow", "7.0", "Pyarrow is not out on Python 3.12 yet")
df = pd._testing.makeMixedDataFrame()
string = pd.get_option('mode.string_storage')
pd.set_option('mode.string_storage', 'pyarrow')
df = makeMixedDataFrame()
df['C'] = df.C.astype("string")
yield df
pd.set_option('mode.string_storage', string)

@pytest.fixture
def mixed_df_object_type():
df = pd._testing.makeMixedDataFrame()
string = pd.get_option('mode.string_storage')
pd.set_option('mode.string_storage', 'python')
df = makeMixedDataFrame()
yield df
pd.set_option('mode.string_storage', string)

@pytest.fixture
def yaml_file():
Expand Down
14 changes: 9 additions & 5 deletions lumen/tests/sources/conftest.py
Original file line number Diff line number Diff line change
@@ -1,17 +1,21 @@
import pandas as pd
import pytest

pd.set_option('mode.string_storage', 'pyarrow')
from hvplot.tests.util import makeMixedDataFrame


@pytest.fixture
def source_tables():
df_test = pd._testing.makeMixedDataFrame()
df_test_sql = pd._testing.makeMixedDataFrame()
df_test_sql_none = pd._testing.makeMixedDataFrame()
string = pd.get_option('mode.string_storage')
pd.set_option('mode.string_storage', 'pyarrow')
df_test = makeMixedDataFrame()
df_test_sql = makeMixedDataFrame()
df_test_sql_none = makeMixedDataFrame()
df_test_sql_none['C'] = ['foo1', None, 'foo3', None, 'foo5']
tables = {
'test': df_test,
'test_sql': df_test_sql,
'test_sql_with_none': df_test_sql_none,
}
return tables
yield tables
pd.set_option('mode.string_storage', string)
4 changes: 3 additions & 1 deletion lumen/tests/sources/test_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,8 @@
import pandas as pd
import pytest

from hvplot.tests.util import makeMixedDataFrame

from lumen.sources.base import Source
from lumen.state import state
from lumen.transforms.sql import SQLLimit
Expand Down Expand Up @@ -155,7 +157,7 @@ def test_file_source_get_query_cache_to_file(make_filesource, cachedir):
df.index.names = [None]
pd.testing.assert_frame_equal(
df,
pd._testing.makeMixedDataFrame().iloc[1:3]
makeMixedDataFrame().iloc[1:3]
)


Expand Down
27 changes: 4 additions & 23 deletions lumen/tests/sources/test_duckdb.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,6 @@
import datetime as dt
import os

import numpy as np
import pandas as pd
import pytest

Expand All @@ -15,26 +14,6 @@
pytestmark = pytest.mark.skipif(DuckDBSource is None, reason="Duckdb is not installed")


def assert_frame_equal_ignore_null_like(a, b):
"""
From Pandas 2.1 we are getting this FutureWarning:
Mismatched null-like values nan and None found. In a future version,
pandas equality-testing functions (e.g. assert_frame_equal)
will consider these not-matching and raise.
Here we are converting all null-like values to np.nan.
Could be that in future release we get a keyword argument to ignore
this strict behavior
Reference: https://github.com/pandas-dev/pandas/pull/52081
"""
a = a.fillna(np.nan)
b = b.fillna(np.nan)
pd.testing.assert_frame_equal(a, b)


@pytest.fixture
def duckdb_source():
root = os.path.dirname(__file__)
Expand Down Expand Up @@ -63,7 +42,7 @@ def test_duckdb_get_tables(duckdb_source, source_tables):
tables = duckdb_source.get_tables()
assert not len(set(tables) - set(source_tables.keys()))
for table in tables:
assert_frame_equal_ignore_null_like(
pd.testing.assert_frame_equal(
duckdb_source.get(table),
source_tables[table],
)
Expand Down Expand Up @@ -131,9 +110,10 @@ def test_duckdb_filter(duckdb_source, table_column_value_type, dask, expected_fi
table, column, value, _ = table_column_value_type
kwargs = {column: value}
filtered = duckdb_source.get(table, __dask=dask, **kwargs)
assert_frame_equal_ignore_null_like(filtered, expected_filtered_df.reset_index(drop=True))
pd.testing.assert_frame_equal(filtered, expected_filtered_df.reset_index(drop=True))


@pytest.mark.flaky(reruns=3)
def test_duckdb_transforms(duckdb_source, source_tables):
df_test_sql = source_tables['test_sql']
transforms = [SQLGroupBy(by=['B'], aggregates={'SUM': 'A'})]
Expand All @@ -142,6 +122,7 @@ def test_duckdb_transforms(duckdb_source, source_tables):
pd.testing.assert_frame_equal(transformed, expected)

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0

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test_duckdb_transforms AssertionError: DataFrame.iloc[:, 0] (column name="B") are different DataFrame.iloc[:, 0] (column name="B") values are different (100.0 %) [index]: [0, 1] [left]: [1.0, 0.0] [right]: [0.0, 1.0] At positional index 0, first diff: 1.0 != 0.0


@pytest.mark.flaky(reruns=3)
def test_duckdb_transforms_cache(duckdb_source, source_tables):
df_test_sql = source_tables['test_sql']
transforms = [SQLGroupBy(by=['B'], aggregates={'SUM': 'A'})]
Expand Down
5 changes: 3 additions & 2 deletions setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -31,18 +31,19 @@ def get_setup_version(reponame):
'sql': [
'duckdb',
'intake-sql',
'sqlalchemy <2', # Don't work with pandas yet
'sqlalchemy',
],
'tests': [
'pytest',
'pytest-rerunfailures',
'flake8',
'intake',
'fastparquet',
'msgpack-python',
'toolz',
'pre-commit',
'matplotlib >=3.4', # Ubuntu + Python 3.9 installs old version matplotlib (3.3.2)
'pandas <2.2',
'pandas',
],
'tests_ci' : [
'pytest-github-actions-annotate-failures',
Expand Down

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