Merge branch 'dev'

docs_source/tutorials/downloaded_json_data.rst

@@ -0,0 +1,34 @@
+Running on JSON data downloaded from the CHAP-app
+=================================================
+
+Convert the JSON data into a CHAP-DataSet
+------------------------------------------
+
+After downloading the JSON data from the CHAP-app, it's practical to first convert the data into a CHAP-DataSet. This
+fetches the climate data from DHIS2 and harmonizes the data into a single DataSet. This is done by running the following
+command:
+
+```bash
+chap-cli convert <path-to-json-file> <path-to-output-file>
+```
+
+Evaluate models on the dataset
+------------------------------
+The next step is to evaluate existing models on the dataset, to see if some of them perform well on your dataset.
+This is done by running the following command:
+
+```bash
+chap-cli evaluate <path-to-dataset-file> <path-to-report-file>.pdf --model-path <model-name>
+```
+
+This will generate a report with the evaluation results for the specified model. The default model path is:
+
+Predict using the best model
+----------------------------
+
+After evaluating the models, you can predict the values for the dataset using the best model. This is done by running the
+predict command:
+
+```bash
+
+```

requirements_dev.txt

@@ -18,3 +18,4 @@ python-dotenv
 myst_parser
 furo
 virtualenv
+pre-commit

setup.py

@@ -67,7 +67,7 @@
     include_package_data=True,
     keywords='climate_health',
     name='climate_health',
-    packages=find_packages(include=['climate_health', 'climate_health.*']),
+    packages=find_packages(include=['climate_health', 'climate_health.*', 'climate_health.*.*']),
     test_suite='tests',
     tests_require=test_requirements,
     url='https://github.com/sandvelab/climate_health',

tests/test_gridded_data.py

@@ -2,16 +2,19 @@
 
 from climate_health.google_earth_engine.gee_raw import load_credentials
 
+
 @pytest.fixture
 def credentials():
     try:
         load_credentials()
     except Exception as e:
         pytest.skip("Credentials not found")
 
+
 @pytest.fixture
 def polygons_filename(data_path):
-    return data_path/'philippines_polygons.json'
+    return data_path / 'philippines_polygons.json'
+
 
 @pytest.mark.skip("Not implemented")
 def test_get_gridded_data(polygons_filename):