Fix missing import

.github/workflows/tests.yml

@@ -8,7 +8,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [ '3.8', '3.9', '3.10', '3.11' ]
+        python-version: [ '3.8', '3.9', '3.10', '3.11', '3.12' ]
 
     steps:
     - uses: actions/checkout@v3

.pre-commit-config.yaml

@@ -1,19 +1,21 @@
 repos:
--   repo: https://github.com/psf/black
-    rev: 23.3.0
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.1.9
     hooks:
-    -   id: black
+      - id: ruff
+      - id: ruff-format
 
--   repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.2.0
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.7.1
     hooks:
-    -   id: mypy
-        args: [--disallow-untyped-defs, --no-implicit-optional, --warn-unused-ignores, --warn-redundant-casts, --warn-unreachable]
+      - id: mypy
+        args:
+          [
+            --disallow-untyped-defs,
+            --no-implicit-optional,
+            --warn-unused-ignores,
+            --warn-redundant-casts,
+            --warn-unreachable,
+          ]
         exclude: test
         additional_dependencies: [types-requests, xarray]
-
--   repo: https://github.com/pycqa/isort
-    rev: 5.12.0
-    hooks:
-      - id: isort
-        args: [--profile, black]

docs/conf.py

@@ -15,7 +15,7 @@
 
 sys.path.insert(0, os.path.abspath(".."))
 
-from wxee import __version__
+from wxee import __version__  # noqa: E402
 
 
 # -- Project information -----------------------------------------------------

pyproject.toml

@@ -48,6 +48,9 @@ path = "wxee/__init__.py"
 [tool.hatch.build.targets.sdist]
 include = ["/wxee"]
 
+[tool.hatch.envs.default]
+dependencies = ["pre-commit"]
+
 [tool.hatch.envs.docs]
 dependences = [
     "nbsphinx",

test/conftest.py

@@ -1,5 +1,3 @@
-import ee
-
 import wxee
 
 

test/test_image.py

@@ -5,7 +5,7 @@
 import pytest
 import rasterio
 
-import wxee
+import wxee  # noqa: F401
 from wxee.exceptions import MissingPropertyError
 
 

test/test_time_series.py

@@ -451,3 +451,25 @@ def test_dataframe():
         df["system:time_start"].dt.strftime("%Y-%m-%d").values.tolist() == start_dates
     )
     assert df["system:id"].values.tolist() == ids
+
+
+@pytest.mark.ee
+def test_timeline():
+    """Test that you can generate a timeline figure from a time series."""
+    start_dates = ["2020-01-01", "2020-02-01", "2021-03-03"]
+    ids = ["id1", "id2", "id3"]
+
+    imgs = [
+        ee.Image.constant(1).set(
+            "system:time_start",
+            ee.Date(start_dates[i]).millis(),
+            "system:id",
+            ids[i],
+        )
+        for i in range(3)
+    ]
+    ts = wxee.TimeSeries(imgs)
+
+    timeline = ts.timeline()
+
+    assert timeline.data

wxee/__init__.py

@@ -1,7 +1,9 @@
-import wxee.xarray
+from wxee import xarray
 from wxee.collection import ImageCollection
 from wxee.image import Image
 from wxee.time_series import TimeSeries
 from wxee.utils import Initialize
 
 __version__ = "0.4.1"
+
+__all__ = ["xarray", "Image", "ImageCollection", "TimeSeries", "Initialize"]

wxee/image.py

@@ -272,7 +272,7 @@ def _get_download_id(self) -> ee.String:
         except ee.EEException as e:
             if "Parameter 'value' is required" in str(e):
                 raise MissingPropertyError(
-                    f"Image is missing a `system:time_start` property which is required for "
+                    "Image is missing a `system:time_start` property which is required for "
                     "downloading.\n\nEarth Engine properties can be lost when modifying images, so make sure to manually "
                     "set or copy properties using the `.set` and `.copyProperties` methods after using methods like "
                     "`.multiply` or `.median`. If you don't need time information, you can set an arbitrary time with "

wxee/time_series.py

@@ -171,7 +171,7 @@ def dataframe(self, props: Union[None, List[str], ee.List] = None) -> pd.DataFra
         df.index.id = collection_id
         return df
 
-    def timeline(self) -> "go.Figure":  # pragma: no cover
+    def timeline(self) -> "go.Figure":
         """Generate an interactive plot showing the acquisition time of each image in the time series.
 
         Returns
@@ -181,6 +181,7 @@ def timeline(self) -> "go.Figure":  # pragma: no cover
         """
         try:
             import plotly.express as px  # type: ignore
+            import plotly.graph_objects as go
         except ImportError:
             raise ImportError(
                 "The `plotly` package is required for this feature. "
@@ -579,7 +580,7 @@ def climatology_anomaly(
                 )
             if std.reducer != mean.reducer:
                 # There is no way to determine the type of reducer used after the fact, or else I would list them.
-                raise ValueError(f"Mean reducer does not match std reducer.")
+                raise ValueError("Mean reducer does not match std reducer.")
 
         def image_anomaly(img: ee.Image) -> ee.Image:
             """Identify the climatological mean and std deviation for a given image

wxee/xarray.py

@@ -67,14 +67,14 @@ def rgb(
         """
         if bands is not None:
             if len(bands) != 3:
-                raise ValueError(f"Bands must be a list with exactly 3 names.")
+                raise ValueError("Bands must be a list with exactly 3 names.")
         else:
             bands = list(self._obj.var())[:3]  # type: ignore
 
             # Raise a different error if the bands were identified implicitly to avoid confusion
             if len(bands) != 3:  # type: ignore
                 raise ValueError(
-                    f"The Dataset must contain at least 3 data variables for RGB plotting."
+                    "The Dataset must contain at least 3 data variables for RGB plotting."
                 )
 
         da = self._obj[bands].to_array(name="rgb")
@@ -83,7 +83,7 @@ def rgb(
 
         if interactive:
             try:
-                import hvplot.xarray  # type: ignore
+                import hvplot.xarray  # type: ignore # noqa F401
             except ImportError:
                 raise ImportError(
                     "The `hvplot` package is required for interactive plots. Run `pip install hvplot`."