feat: support dask and spark dataframes in evaluate (#121)

.github/workflows/build-docs.yaml

@@ -32,7 +32,7 @@ jobs:
           set -ux
           python -m pip install --upgrade pip
           pip install -Uq nbdev
-          pip install -e ".[dev]"
+          pip install ".[dev]" fugue[dask,spark]>=0.8.1
           mkdir nbs/_extensions
           cp -r docs-scripts/mintlify/ nbs/_extensions/
           python docs-scripts/update-quarto.py

.github/workflows/ci.yaml

@@ -7,56 +7,48 @@ on:
     branches: [main]
   workflow_dispatch:
 
-defaults:
-  run:
-    shell: bash -l {0}
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
   cancel-in-progress: true
 
 jobs:
   all-tests:
-    runs-on: ${{ matrix.os }}
+    runs-on: ubuntu-latest
     strategy:
       fail-fast: false
       matrix:
-        os: [macos-latest, ubuntu-latest]
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
     steps:
       - name: Clone repo
         uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
-      - name: Set up environment
-        uses: mamba-org/setup-micromamba@f8b8a1e23a26f60a44c853292711bacfd3eac822 # v1.9.0
+      - uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
         with:
-          environment-file: environment.yml
-          create-args: python=${{ matrix.python-version }}
-          cache-environment: true
+          python-version: ${{ matrix.python-version }}
 
       - name: Install the library
-        run: pip install ./
+        run: pip install uv && uv pip install --system ".[dev]" fugue[dask,spark]>=0.8.1
 
       - name: Run tests
-        run: nbdev_test --do_print --timing --flags 'matplotlib polars pyarrow scipy'
+        run: nbdev_test --do_print --timing --flags 'datasets distributed matplotlib polars pyarrow scipy'
 
-  windows-tests:
-    runs-on: windows-latest
+  local-tests:
+    runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        os: [macos-latest, windows-latest]
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
     steps:
       - name: Clone repo
         uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
-      - name: Set up environment
-        uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
+      - uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
         with:
           python-version: ${{ matrix.python-version }}
 
       - name: Install the library
-        run: pip install uv && uv pip install ".[dev]" --system
+        run: pip install uv && uv pip install --system ".[dev]"
 
       - name: Run tests
         run: nbdev_test --do_print --timing --flags 'datasets matplotlib polars pyarrow scipy'
@@ -75,11 +67,10 @@ jobs:
         uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
         with:
           python-version: '3.10'
-          cache: 'pip'
 
       - name: Install dependencies
         shell: bash
-        run: pip3 install . nbdev
+        run: pip install . nbdev
 
       - name: Run tests
         shell: bash

.pre-commit-config.yaml

@@ -15,3 +15,4 @@ repos:
     hooks:
       - id: mypy
         args: [--ignore-missing-imports]
+        exclude: 'setup.py'

action_files/clean_nbs

@@ -1 +1,2 @@
 nbdev_clean
+./action_files/remove_logs_cells

action_files/remove_logs_cells

@@ -0,0 +1,30 @@
+#!/usr/bin/env python3
+import re
+from pathlib import Path
+from nbdev.clean import process_write
+
+IP_REGEX = re.compile(r'[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}')
+HOURS_REGEX = re.compile(r'\d{2}:\d{2}:\d{2}')
+
+def cell_contains_ips(cell):
+    if 'outputs' not in cell:
+        return False
+    for output in cell['outputs']:
+        if 'text' not in output:
+            return False
+        for line in output['text']:
+            if IP_REGEX.search(line) or HOURS_REGEX.search(line) or '[LightGBM]' in line:
+                return True
+    return False
+
+
+def clean_nb(nb):
+    for cell in nb['cells']:
+        if cell_contains_ips(cell):
+            cell['outputs'] = []
+
+
+if __name__ == '__main__':
+    repo_root = Path(__file__).parents[1]
+    for nb in (repo_root / 'nbs').glob('*.ipynb'):
+        process_write(warn_msg='Failed to clean_nb', proc_nb=clean_nb, f_in=nb)

nbs/compat.ipynb

@@ -95,8 +95,30 @@
     "            return f(*args, **kwargs)\n",
     "        return wrapper\n",
     "\n",
+    "try:\n",
+    "    from dask.dataframe import DataFrame as DaskDataFrame\n",
+    "except ModuleNotFoundError:\n",
+    "    pass\n",
+    "\n",
+    "try:\n",
+    "    from pyspark.sql import DataFrame as SparkDataFrame\n",
+    "except ModuleNotFoundError:\n",
+    "    pass\n",
+    "\n",
     "DataFrame = Union[pd.DataFrame, pl_DataFrame]\n",
-    "Series = Union[pd.Series, pl_Series]"
+    "Series = Union[pd.Series, pl_Series]\n",
+    "DistributedDFType = TypeVar(\n",
+    "    \"DistributedDFType\",\n",
+    "    \"DaskDataFrame\",\n",
+    "    \"SparkDataFrame\",\n",
+    ")\n",
+    "AnyDFType = TypeVar(\n",
+    "    \"AnyDFType\",\n",
+    "    \"DaskDataFrame\",\n",
+    "    pd.DataFrame,\n",
+    "    \"pl_DataFrame\",\n",
+    "    \"SparkDataFrame\",\n",
+    ")"
    ]
   }
  ],