def test_subset_imask_non_iterable_subset(self, model_data, imask_subset_config):
        """
        Subset using a string, when a non-string iterable is required
        """
        foreach = ["nodes", "techs"]
        imask = _imask_foreach(model_data, foreach)

        with pytest.raises(TypeError) as excinfo:
            _subset_imask(
                "foo", AttrDict({"foreach": foreach, "subset.nodes": "bar"}), imask
            )
        assert check_error_or_warning(
            excinfo,
            "set `foo` must subset over an iterable, instead got non-iterable `bar` for subset `nodes`",
        )
示例#2
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 def test_generate_scenarios(self):
     runner = CliRunner()
     with runner.isolated_filesystem() as tempdir:
         out_file = os.path.join(tempdir, 'scenarios.yaml')
         result = runner.invoke(cli.generate_scenarios, [
             _MODEL_NATIONAL,
             out_file,
             'cold_fusion',
             'run1;run2',
             'group_share_cold_fusion_cap;group_share_cold_fusion_prod',
         ])
         assert result.exit_code == 0
         assert os.path.isfile(out_file)
         scenarios = AttrDict.from_yaml(out_file)
         assert 'scenario_0' not in scenarios['scenarios']
         assert scenarios['scenarios'][
             'scenario_1'] == 'cold_fusion,run1,group_share_cold_fusion_cap'
 def model_data(self):
     model_data = xr.Dataset(
         coords={
             dim: ["foo", "bar"]
             if dim != "techs"
             else ["foo", "bar", "foobar", "foobaz"]
             for dim in BASE_DIMS
         },
         data_vars={
             "node_tech": (
                 ["nodes", "techs"],
                 np.random.choice(a=[np.nan, True], size=(2, 4)),
             ),
             "carrier": (
                 ["carrier_tiers", "carriers", "techs"],
                 np.random.choice(a=[np.nan, True], size=(2, 2, 4)),
             ),
             "with_inf": (
                 ["nodes", "techs"],
                 [[1.0, np.nan, 1.0, 3], [np.inf, 2.0, True, np.nan]],
             ),
             "all_inf": (["nodes", "techs"], np.ones((2, 4)) * np.inf),
             "all_nan": (["nodes", "techs"], np.ones((2, 4)) * np.nan),
             "inheritance": (
                 ["nodes", "techs"],
                 [
                     ["foo.bar", "boo", "baz", "boo"],
                     ["bar", "ar", "baz.boo", "foo.boo"],
                 ],
             ),
         },
     )
     UpdateObserverDict(
         initial_dict=AttrDict({"foo": True, "baz": {"bar": "foobar"}}),
         name="run_config",
         observer=model_data,
     )
     UpdateObserverDict(
         initial_dict={"foz": 0}, name="model_config", observer=model_data
     )
     return model_data
示例#4
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def generate_scenarios(
        model_file, out_file, overrides, scenario_name_prefix,
        debug, quiet, pdb):

    set_quietness_level(quiet)
    with format_exceptions(debug, pdb):
        combinations = list(itertools.product(
            *[i.split(';') for i in overrides]
        ))

        if not scenario_name_prefix:
            scenario_name_prefix = 'scenario_'

        # len(str(x)) gives us the number of digits in x, for padding
        scenario_string = '{}{:0>' + str(len(str(len(combinations)))) + 'd}'

        scenarios = {'scenarios': {
            scenario_string.format(scenario_name_prefix, i + 1): c
            for i, c in enumerate(combinations)}}

        AttrDict(scenarios).to_yaml(out_file)
示例#5
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def generate_scenarios(model_file, out_file, overrides, scenario_name_prefix,
                       debug, quiet, pdb):

    _cli_start(debug, quiet)

    with format_exceptions(debug, pdb):
        combinations = list(
            itertools.product(*[i.split(";") for i in overrides]))

        if not scenario_name_prefix:
            scenario_name_prefix = "scenario_"

        # len(str(x)) gives us the number of digits in x, for padding
        scenario_string = "{}{:0>" + str(len(str(len(combinations)))) + "d}"

        scenarios = {
            "scenarios": {
                scenario_string.format(scenario_name_prefix, i + 1): c
                for i, c in enumerate(combinations)
            }
        }

        AttrDict(scenarios).to_yaml(out_file)
示例#6
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 def test_generate_scenarios(self):
     runner = CliRunner()
     with runner.isolated_filesystem() as tempdir:
         out_file = os.path.join(tempdir, "scenarios.yaml")
         result = runner.invoke(
             cli.generate_scenarios,
             [
                 _MODEL_NATIONAL,
                 out_file,
                 "cold_fusion",
                 "run1;run2",
                 "cold_fusion_cap_share;cold_fusion_prod_share",
             ],
         )
         assert result.exit_code == 0
         assert os.path.isfile(out_file)
         scenarios = AttrDict.from_yaml(out_file)
         assert "scenario_0" not in scenarios["scenarios"]
         assert scenarios["scenarios"]["scenario_1"] == [
             "cold_fusion",
             "run1",
             "cold_fusion_cap_share",
         ]
示例#7
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import os

import calliope
from calliope import AttrDict


constraint_sets = AttrDict.from_yaml(os.path.join(os.path.dirname(__file__), 'constraint_sets.yaml'))

_defaults_files = {
    k: os.path.join(os.path.dirname(calliope.__file__), 'config', k + '.yaml')
    for k in ['model', 'defaults']
}
defaults = AttrDict.from_yaml(_defaults_files['defaults'])
defaults_model = AttrDict.from_yaml(_defaults_files['model'])


def build_test_model(override_dict=None, override_groups=None):
    this_path = os.path.dirname(__file__)
    model_location = os.path.join(this_path, 'test_model', 'model.yaml')
    override_location = os.path.join(this_path, 'test_model', 'overrides.yaml')
    if override_groups:
        override_file = override_location + ':' + override_groups
    else:
        override_file = None

    return calliope.Model(
        model_location, override_dict=override_dict,
        override_file=override_file
    )
示例#8
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import os
import sys

import pytest
from pyomo.core.expr.current import identify_variables

import calliope
from calliope import AttrDict

constraint_sets = AttrDict.from_yaml(
    os.path.join(os.path.dirname(__file__), "constraint_sets.yaml"))

defaults = AttrDict.from_yaml(
    os.path.join(os.path.dirname(calliope.__file__), "config",
                 "defaults.yaml"))

python36_or_higher = pytest.mark.skipif(
    sys.version_info < (3, 6),
    reason="Requires ordered dicts from Python >= 3.6")


def build_test_model(override_dict=None,
                     scenario=None,
                     model_file="model.yaml"):
    return calliope.Model(
        os.path.join(os.path.dirname(__file__), "test_model", model_file),
        override_dict=override_dict,
        scenario=scenario,
    )

示例#9
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import sys
import ast

import pytest
from pyomo.core.expr.current import identify_variables
import pyomo.core as po

import calliope
from calliope import AttrDict


constraint_sets = {
    k: [ast.literal_eval(i) for i in v]
    for k, v in AttrDict.from_yaml(
        os.path.join(os.path.dirname(__file__), "constraint_sets.yaml")
    )
    .as_dict_flat()
    .items()
}

defaults = AttrDict.from_yaml(
    os.path.join(os.path.dirname(calliope.__file__), "config", "defaults.yaml")
)

subsets_config = AttrDict.from_yaml(
    os.path.join(os.path.dirname(calliope.__file__), "config", "subsets.yaml")
)

python36_or_higher = pytest.mark.skipif(
    sys.version_info < (3, 6), reason="Requires ordered dicts from Python >= 3.6"
)
示例#10
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import os
import sys

import pytest

import calliope
from calliope import AttrDict


constraint_sets = AttrDict.from_yaml(os.path.join(os.path.dirname(__file__), 'constraint_sets.yaml'))

_defaults_files = {
    k: os.path.join(os.path.dirname(calliope.__file__), 'config', k + '.yaml')
    for k in ['model', 'defaults']
}
defaults = AttrDict.from_yaml(_defaults_files['defaults'])
defaults_model = AttrDict.from_yaml(_defaults_files['model'])


python36_or_higher = pytest.mark.skipif(
    sys.version_info < (3, 6),
    reason="Requires ordered dicts from Python >= 3.6"
)


def build_test_model(override_dict=None, scenario=None, minimal=False):
    this_path = os.path.dirname(__file__)
    model = 'model_minimal.yaml' if minimal is True else 'model.yaml'

    model_location = os.path.join(this_path, 'test_model', model)
 def parse_yaml(self, yaml_string):
     return AttrDict.from_yaml_string(yaml_string)