def test_parse_areas() -> None:
study_path = Path()
json = build_empty_json()
json["input"]["areas"]["fr"] = {
"optimization": {
"filtering": {
"filter-synthesis": "daily, monthly",
"filter-year-by-year": "hourly, weekly, annual",
}
}
}
config = StudyConfig(
study_path,
areas={
"fr":
Area(
thermals=[],
links={},
filters_year=["hourly", "weekly", "annual"],
filters_synthesis=["daily", "monthly"],
)
},
)
assert ConfigJsonBuilder.build(study_path, json) == config
def test_parse_parameters() -> None:
study_path = Path()
# Setup json
json = build_empty_json()
json["settings"]["generaldata"] = {"output": {"storenewset": True}}
config = StudyConfig(study_path=study_path, store_new_set=True)
# Test
assert ConfigJsonBuilder.build(study_path, json) == config
def test_parse_sets() -> None:
json = build_empty_json()
json["input"]["areas"]["sets"] = {
"hello": {
"output": True,
"+": ["a", "b"]
}
}
assert ConfigJsonBuilder._parse_sets(json) == {
"hello": Set(areas=["a", "b"])
}
def test_parse_links() -> None:
json = build_empty_json()
json["input"]["links"] = {
"fr": {
"properties": {
"l1": {
"filter-synthesis": "annual",
"filter-year-by-year": "hourly",
}
}
}
}
link = Link(filters_synthesis=["annual"], filters_year=["hourly"])
assert ConfigJsonBuilder._parse_links(json, "fr") == {"l1": link}
def test_parse_bindings() -> None:
study_path = Path()
# Setup json
json = build_empty_json()
json["input"]["bindingconstraints"]["bindingconstraints"] = {
"bindA": {
"id": "bindA"
},
"bindB": {
"id": "bindB"
},
}
config = StudyConfig(study_path=study_path, bindings=["bindA", "bindB"])
# Test
assert ConfigJsonBuilder.build(study_path, json) == config
def test_parse_outputs() -> None:
study_path = Path()
json = build_empty_json()
json["output"] = {
1: {
"about-the-study": {
"parameters": {
"general": {
"nbyears": 1,
"year-by-year": True
},
"output": {
"synthesis": True
},
}
},
"info": {
"general": {
"name": "hello",
"mode": "Economy",
"date": "2020.12.20 - 14: 56",
}
},
"checkIntegrity": 42,
}
}
config = StudyConfig(
study_path,
outputs={
1:
Simulation(
name="hello",
date="20201220-1456",
mode="economy",
nbyears=1,
synthesis=True,
by_year=True,
error=False,
)
},
)
assert ConfigJsonBuilder.build(study_path, json) == config
def test_parse_thermal() -> None:
json = build_empty_json()
json["input"]["thermal"]["clusters"] = {
"fr": {
"list": {
"t1": {},
"t2": {
"enabled": False
},
"t3": {
"enabled": True
},
}
}
}
assert ConfigJsonBuilder._parse_thermal(json, "fr") == [
ThermalCluster(id="t1", enabled=True),
ThermalCluster(id="t2", enabled=False),
ThermalCluster(id="t3", enabled=True),
]
def create_from_json(self, path: Path,
json: JSON) -> Tuple[StudyConfig, Study]:
config = ConfigJsonBuilder.build(path, json)
return config, Study(config)