Two ways to create a new python project:
- create project by copier:
copier copy --trust https://github.com/fluent-qa/fluentqa-pytpl.git my-project- create project by pdm
mkdir my-project && cd my-project
pdm init https://github.com/fluent-qa/fluentqa-pytpl.gitdata and format:
{
"key": "v1",
"kList": [
"test",
"t2"
],
"kObj": {
"k1": "v1",
"k2": "v2"
},
"kBool": true,
"kNum": 4.3
}
class DemoModel(GenericDataModel):
key: str
k_list: []
k_obj: Any
k_bool: bool
k_num: float
class DemoModelAlias(GenericDataModel):
key: str
k_list: []
k_obj: Any
k_bool: bool
# k_index: float = Field(alias='k_num')
k_index: Annotated[float, Field(alias='kNum')]
class DemoUnit(GenericDataModel):
unit_group_name: str | None = ""
unit_name: str | None = ""
unit_symbol: str | None = ""
unit_latex: str | None = ""
base_unit: str | None = ""
factor: str | None = ""
class UnitInfoRawModel(BaseModel):
unit_name: str = Field("", alias='单位名')
unit_symbol: str = Field("", alias='单位符号')
unit_symbol_latex: str = Field("", alias='单位符号LaTex')
unit_group_name: str = Field("", alias='单位组名称')
base_unit: str = Field("", alias='基准单位')
conversion_factor: None|str |float = Field("", alias='换算系数')
model_config = ConfigDict(
arbitrary_types_allowed=True,
populate_by_name=True,
use_enum_values=True,
)
class UnitInfo(GenericDataModel):
unit_name: str = Field("", alias='单位名')
unit_symbol: str = Field("", alias='单位符号')
unit_symbol_latex: str = Field("", alias='单位符号LaTex')
unit_group_name: str = Field("", alias='单位组名称')
base_unit: str = Field("", alias='基准单位')
conversion_factor: None|str |float = Field("", alias='换算系数')def test_modelize_camel_naming():
result = DemoModel.parse_file("./structured-data/camel.json")
print(result)
def test_modelize_alias_naming():
result = DemoModelAlias.parse_file("./structured-data/camel-alias.json")
print(result.k_index)
print(result.model_dump_json(by_alias=True))
print(result.to_json())
def test_parse_as():
result = DemoModelAlias.parse_file("./structured-data/camel-alias.json")
json_str = result.model_dump_json(by_alias=True)
obj_model = sr.parse_as(json_str, DemoModelAlias)
dict_obj = result.to_dict(by_alias=True)
print(obj_model)
dict_model = sr.parse_as(dict_obj, DemoModelAlias)
assert dict_model.key == "v1"
def test_parse_file_as():
result = operations.parse_file_as("./structured-data/camel-alias.json", DemoModelAlias)
assert result.k_index == 4.3
def test_load_csv_files():
result = operations.parse_file_as("./structured-data/unit.csv", DemoUnit, data_format=DataFormatType.CSV)
print(result)
def test_load_excel_file():
result = operations.parse_file_as("./structured-data/unit_demo.xlsx", UnitInfo, data_format=DataFormatType.EXCEL)
print(result)
def test_load_excel_file_raw():
result = operations.parse_file_as("./structured-data/unit_demo.xlsx", UnitInfoRawModel,
data_format=DataFormatType.EXCEL)
print(result)