Merge branch 'feature/insolation_plus_6' into develop

ecml_tools/create/functions/actions/constants.py

@@ -6,81 +6,12 @@
 # granted to it by virtue of its status as an intergovernmental organisation
 # nor does it submit to any jurisdiction.
 #
-from copy import deepcopy
-
 from climetlab import load_source
 
-from ecml_tools.create.utils import to_datetime_list
-
-DEBUG = True
-
-
-def to_list(x):
-    if isinstance(x, (list, tuple)):
-        return x
-    return [x]
-
-
-def get_template_field(request):
-    """Create a template request from the initial request, setting the date, time,
-    levtype and param fields."""
-    template_request = {
-        "class": "ea",
-        "expver": "0001",
-        "type": "an",
-        "date": "20200101",
-        "time": "0000",
-        "levtype": "sfc",
-        "param": "2t",
-    }
-    for k in ["area", "grid"]:  # is class needed?
-        if k in request:
-            template_request[k] = request[k]
-    template = load_source("mars", template_request)
-    assert len(template) == 1, (len(template), template_request)
-    return template
-
-
-def normalise_time_to_hours(r):
-    r = deepcopy(r)
-    if "time" not in r:
-        return r
-
-    times = []
-    for t in to_list(r["time"]):
-        assert len(t) == 4, r
-        assert t.endswith("00"), r
-        times.append(int(t) // 100)
-    r["time"] = tuple(times)
-    return r
-
 
 def constants(context, dates, template, param):
     context.trace("✅", f"load_source(constants, {template}, {param}")
     return load_source("constants", source_or_dataset=template, date=dates, param=param)
 
 
 execute = constants
-
-if __name__ == "__main__":
-    import yaml
-
-    config = yaml.safe_load(
-        """
-      class: ea
-      expver: '0001'
-      grid: 20.0/20.0
-      levtype: sfc
-      # param: [10u, 10v, 2d, 2t, lsm, msl, sdor, skt, slor, sp, tcw, z]
-      number: [0, 1]
-      param: [cos_latitude]
-    """
-    )
-    dates = yaml.safe_load(
-        "[2022-12-30 18:00, 2022-12-31 00:00, 2022-12-31 06:00, 2022-12-31 12:00]"
-    )
-    dates = to_datetime_list(dates)
-
-    DEBUG = True
-    for f in constants(None, dates, **config):
-        print(f, f.to_numpy().mean())