Feature #461 hovmoeller tests

metplotpy/plots/config/scatter_defaults.yaml

@@ -18,3 +18,8 @@ scatters:
     color: black
     width: 1
     dash:
+
+log_filename: stdout
+log_level: ERROR
+
+line_type: N/A

metplotpy/plots/hovmoeller/hovmoeller_config.py

@@ -48,3 +48,4 @@ def __init__(self, parameters):
         self.colorscale = self.get_config_value('colorscale')
         self.xaxis = self.get_config_value('xaxis')
         self.yaxis = self.get_config_value('yaxis')
+        self.create_html = self.get_config_value('create_html')

metplotpy/plots/scatter/scatter.py

@@ -14,9 +14,8 @@
 __author__ = 'Hank Fisher'
 
 import plotly.graph_objects as go
-import yaml
 import pandas as pd
-from plots.base_plot import BasePlot
+from metplotpy.plots.base_plot import BasePlot
 
 from metplotpy.plots import util
 
@@ -50,7 +49,7 @@ def __repr__(self):
             class.
         """
 
-        return f'Line({self.parameters!r})'
+        return f'Scatter ({self.parameters!r})'
 
     def _get_all_scatters(self):
         """ Retrieve a list of all scatters.  Each scatters is a dictionary comprised of
@@ -112,7 +111,7 @@ def _create_figure(self):
             scatter_x = data['x']
             scatter_y = data['y']
             fig.add_trace(go.Scatter(
-                x=scatter_x, y=scatter_y, name=name
+                x=scatter_x, y=scatter_y, name=name, connectgaps = connect_gap, mode = "markers"
             ))
 
 

pyproject.toml

@@ -32,4 +32,10 @@ find = {include = ["metplotpy*"]}
 testpaths = ["test"]
 
 [tool.coverage.run]
-source = ["metplotpy/plots"]
+source = ["metplotpy/plots"]
+
+[tool.coverage.report]
+exclude_also = [
+    "def __repr__",
+    "if __name__ == .__main__.:",
+    ]

test/conftest.py

@@ -1,6 +1,52 @@
 import pytest
 import os
 import shutil
+import json
+import xarray as xr
+from pandas import DatetimeIndex
+
+# This fixture temporarily sets the working directory
+# to the dir containing the test file. This means 
+# realative file locations can be used for each test
+# file.
+# NOTE: autouse=True means this applies to ALL tests.
+# Code that updates the cwd inside a test  file is now
+# redundant and can be deleted.
+@pytest.fixture(autouse=True)
+def change_test_dir(request, monkeypatch):
+    monkeypatch.chdir(request.fspath.dirname)
+
+
+def ordered(obj):
+    """Recursive function to sort JSON, even lists of dicts with the same keys"""
+    if isinstance(obj, dict):
+        return sorted((k, ordered(v)) for k, v in obj.items())
+    if isinstance(obj, list):
+        return sorted(ordered(x) for x in obj)
+    else:
+        return obj
+
+
+@pytest.fixture
+def assert_json_equal():
+    def compare_json(fig, expected_json_file):
+        """Takes a plotly figure and a json file
+        """
+        # Treat everything as str for comparison purposes.
+        actual = json.loads(fig.to_json(), parse_float=str, parse_int=str)
+        with open(expected_json_file) as f:
+            expected = json.load(f,parse_float=str, parse_int=str)
+
+        # Fail with a nice message
+        if ordered(actual) == ordered(expected):
+            return True
+        else:
+            message = "This test will fail when there have been changes to plot code but the corresponding" \
+                "json test file hasn't been updates. To update the test file run `fig.write_json`"\
+                " e.g. `scatter.figure.write_json('custom_scatter_expected.json')`"
+            raise AssertionError(message)
+
+    return compare_json
 
 
 @pytest.fixture
@@ -31,3 +77,34 @@ def remove_the_files(test_dir, file_list):
             pass
 
     return remove_the_files
+
+
+TEST_NC_DATA = xr.Dataset(
+    {
+        "precip": xr.DataArray(
+            [
+                [[0.1, 0.2, 0.3], [0, 1.3, 4], [0, 20, 0]],
+                [[0, 0, 0], [0, 0, 0], [0, 0, 0]],
+            ],
+            coords={
+                "lat": [-1, 0, 1],
+                "lon": [112, 113, 114],
+                "time": DatetimeIndex(["2024-09-25 00:00:00", "2024-09-25 03:00:33"]),
+            },
+            dims=["time", "lat", "lon"],
+            attrs={"long_name": "variable long name"},
+        ),
+    },
+    attrs={"Conventions": "CF-99.9", "history": "History string"},
+)
+
+@pytest.fixture()
+def nc_test_file(tmp_path_factory):
+    """Create a netCDF file with a very small amount of data.
+    File is written to a temp directory and the path to the 
+    file returned as the fixture value.
+    """
+    file_name = tmp_path_factory.mktemp("data") / "test_data.nc"
+    TEST_NC_DATA.to_netcdf(file_name)
+    return file_name
+

test/hovmoeller/hovmoeller_test.json

@@ -0,0 +1 @@
+{"data":[{"colorbar":{"len":0.6,"lenmode":"fraction","title":{"text":"mm / day"}},"colorscale":[[0.0,"rgb(247,252,253)"],[0.125,"rgb(224,236,244)"],[0.25,"rgb(191,211,230)"],[0.375,"rgb(158,188,218)"],[0.5,"rgb(140,150,198)"],[0.625,"rgb(140,107,177)"],[0.75,"rgb(136,65,157)"],[0.875,"rgb(129,15,124)"],[1.0,"rgb(77,0,75)"]],"contours":{"end":10,"showlines":false,"size":0.2,"start":0.1},"x":[112,113,114],"y":["2024-09-25 00:00","2024-09-25 03:00"],"z":[[8.333333333333334,1791.6666666666667,358.3333333333333],[0.0,0.0,0.0]],"type":"contour"}],"layout":{"template":{"data":{"histogram2dcontour":[{"type":"histogram2dcontour","colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"choropleth":[{"type":"choropleth","colorbar":{"outlinewidth":0,"ticks":""}}],"histogram2d":[{"type":"histogram2d","colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"heatmap":[{"type":"heatmap","colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"heatmapgl":[{"type":"heatmapgl","colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"contourcarpet":[{"type":"contourcarpet","colorbar":{"outlinewidth":0,"ticks":""}}],"contour":[{"type":"contour","colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"surface":[{"type":"surface","colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"mesh3d":[{"type":"mesh3d","colorbar":{"outlinewidth":0,"ticks":""}}],"scatter":[{"fillpattern":{"fillmode":"overlay","size":10,"solidity":0.2},"type":"scatter"}],"parcoords":[{"type":"parcoords","line":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"scatterpolargl":[{"type":"scatterpolargl","marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"bar":[{"error_x":{"color":"#2a3f5f"},"error_y":{"color":"#2a3f5f"},"marker":{"line":{"color":"#E5ECF6","width":0.5},"pattern":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"bar"}],"scattergeo":[{"type":"scattergeo","marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"scatterpolar":[{"type":"scatterpolar","marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"histogram":[{"marker":{"pattern":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"histogram"}],"scattergl":[{"type":"scattergl","marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"scatter3d":[{"type":"scatter3d","line":{"colorbar":{"outlinewidth":0,"ticks":""}},"marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"scattermapbox":[{"type":"scattermapbox","marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"scatterternary":[{"type":"scatterternary","marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"scattercarpet":[{"type":"scattercarpet","marker":{"colorbar":{"outlinewidth":0,"ticks":""}}}],"carpet":[{"aaxis":{"endlinecolor":"#2a3f5f","gridcolor":"white","linecolor":"white","minorgridcolor":"white","startlinecolor":"#2a3f5f"},"baxis":{"endlinecolor":"#2a3f5f","gridcolor":"white","linecolor":"white","minorgridcolor":"white","startlinecolor":"#2a3f5f"},"type":"carpet"}],"table":[{"cells":{"fill":{"color":"#EBF0F8"},"line":{"color":"white"}},"header":{"fill":{"color":"#C8D4E3"},"line":{"color":"white"}},"type":"table"}],"barpolar":[{"marker":{"line":{"color":"#E5ECF6","width":0.5},"pattern":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"barpolar"}],"pie":[{"automargin":true,"type":"pie"}]},"layout":{"autotypenumbers":"strict","colorway":["#636efa","#EF553B","#00cc96","#ab63fa","#FFA15A","#19d3f3","#FF6692","#B6E880","#FF97FF","#FECB52"],"font":{"color":"#2a3f5f"},"hovermode":"closest","hoverlabel":{"align":"left"},"paper_bgcolor":"white","plot_bgcolor":"#E5ECF6","polar":{"bgcolor":"#E5ECF6","angularaxis":{"gridcolor":"white","linecolor":"white","ticks":""},"radialaxis":{"gridcolor":"white","linecolor":"white","ticks":""}},"ternary":{"bgcolor":"#E5ECF6","aaxis":{"gridcolor":"white","linecolor":"whi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plot    5S - 5N","font":{"size":20}},"height":800,"width":1200,"xaxis":{"title":{"text":"Longitude"}},"yaxis":{"title":{"text":"Time"}}}}

test/hovmoeller/test_hovmoeller.py

@@ -1,8 +1,18 @@
 import os
 import pytest
 import metplotpy.plots.hovmoeller.hovmoeller as hov
+from metplotpy.plots import util
 #from metcalcpy.compare_images import CompareImages
 
+def dict_to_yaml(data_dict,
+                output_yaml = "test_hovmoeller.yaml"):
+    """Write dict as yaml config file."""
+    content = "\n".join(["{k}: {v}".format(k=k,v=v) for k,v in data_dict.items()])
+    with open(output_yaml, 'w') as f:
+        f.write(content)
+    return output_yaml
+
+
 def cleanup(file_to_remove):
     try:
         path = os.getcwd()
@@ -13,16 +23,6 @@ def cleanup(file_to_remove):
         pass
 
 
-@pytest.mark.skip("needs large netCDF file to run")
-def test_default_plot_created():
-    config_file = os.path.join(os.path.dirname(__file__), "minimal_hovmoeller.yaml")
-    hov.main(config_file)
-    default_plot = "./hovmoeller_default_plot.png"
-    assert os.path.isfile(default_plot) == True
-
-    # Clean up
-    cleanup(default_plot)
-
 @pytest.mark.skip()
 def test_default_plot_images_match():
     '''
@@ -61,3 +61,61 @@ def test_custom_plot_created():
 
     # Clean up
     cleanup(custom_plot)
+
+
+def make_config(nc_file, out_file):
+
+    # values here are sensitive to those set
+    # in the `nc_test_file` fixture.
+    config = {
+        "input_data_file": nc_file,
+        "plot_filename": out_file,
+        "date_start": "2024-09-25",
+        "date_end": "2024-09-26",
+        "contour_min": 0.1,
+        "contour_max": 10,
+        "unit_converion": 1,
+        "title": "test plot",
+        "create_html": "true",
+    }
+    return config
+
+def test_hovmoeller(nc_test_file,assert_json_equal):
+    out_file = "hovmoeller_test.png"
+    config = make_config(nc_test_file, out_file)
+
+    # basic test to see if output writes
+    min_yaml = dict_to_yaml(config)
+    hov.main(min_yaml)
+
+    assert os.path.isfile(out_file)
+
+    # test actual functions from plot object
+    plot_obj = hov.Hovmoeller(util.get_params(min_yaml))
+
+    # check html write out
+    plot_obj.write_html()
+    out_html = config['plot_filename'].split('.')[0] + '.html'
+    assert os.path.isfile(out_html)
+
+    # finally check json plot values
+    # to regenerate json file run:
+    # plot_obj.figure.write_json('hovmoeller_test.json')
+    assert_json_equal(plot_obj.figure, 'hovmoeller_test.json')
+
+    # Clean up
+    cleanup(out_file)
+    cleanup(out_html)
+
+def test_get_lat_str(nc_test_file):
+    min_yaml = dict_to_yaml(make_config(nc_test_file, "test.png"))
+    plot_obj = hov.Hovmoeller(util.get_params(min_yaml))
+
+    actual = plot_obj.get_lat_str(-4,-2)
+    assert actual == "4S - 2S"
+
+    actual = plot_obj.get_lat_str(-4,12)
+    assert actual == "4S - 12N"
+
+    actual = plot_obj.get_lat_str(23,90)
+    assert actual == "23N - 90N"

metplotpy/plots/scatter/custom_scatter.yaml → test/scatter/custom_scatter.yaml

@@ -12,13 +12,13 @@ legend:
   bordercolor: # black in default config
   borderwidth: 2
 
-connect_data_gaps: true
+connect_data_gaps: false
 title: Scatter plot of point data
 xaxis:
   title: X
 yaxis:
   title: accumulated precip amounts (cm)
-lines:
+scatter:
   - name: Data1 Trace
     data_file:
       ./scatter1_plot_data.txt
@@ -33,3 +33,7 @@ lines:
     width: 4
     dash: dash
 
+log_filename: stdout
+log_level: ERROR
+
+line_type: N/A