Tweaks
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@ -9,8 +9,8 @@ from benchmark.pydantic_benchmark.models import (
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)
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COLUMNS_COUNT = 1000
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PLANOGRAMS_COUNT = 1000
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COLUMNS_COUNT = 100
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PLANOGRAMS_COUNT = 100
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class ColumnsInputFactory(ModelFactory):
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@ -25,22 +25,19 @@ class CorrelationId(BaseModel):
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class ColumnsInput(BaseModel):
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column_number: StrictSmallInt = Field(
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alias="columnNumber", description="View index in Televend"
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description="View index in Televend",
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)
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external_product_id: Optional[str] = Field(
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default=None,
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alias="externalProductId",
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description="Product or Component external ID used for product/component identification in external partner's ERP system",
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min_length=1,
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max_length=32,
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)
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old_qty: Optional[QuantityInt] = Field(
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default_factory=lambda: None,
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alias="oldQty",
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)
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new_qty: Optional[QuantityInt] = Field(
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default_factory=lambda: None,
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alias="newQty",
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)
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old_price: Optional[float] = Field(
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@ -56,13 +53,10 @@ class ColumnsInput(BaseModel):
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le=99999999.99,
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)
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select_map: Optional[List[StrictSmallInt]] = Field(
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default_factory=lambda: None, alias="selectMap"
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)
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select_map: Optional[List[StrictSmallInt]] = Field(default_factory=lambda: None)
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item_type: Optional[ColumnItemType] = Field(
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default_factory=lambda: ColumnItemType.PRODUCT,
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alias="itemType",
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description="MUST be set if item is COMPONENT",
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)
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@ -71,27 +65,6 @@ class ColumnsInput(BaseModel):
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alias_generator = to_camel_case
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str_strip_whitespace = True
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# @root_validator
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# def check_required_fields(cls, values):
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# if values.get("external_product_id"):
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# if values.get("old_qty") is None:
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# raise ValueError(
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# f"provide oldQty for product {values['external_product_id']}"
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# )
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# if values.get("new_qty") is None:
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# raise ValueError(
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# f"provide newQty for product {values['external_product_id']}"
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# )
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# if values.get("old_price") is None:
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# raise ValueError(
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# f"provide oldPrc for product {values['external_product_id']}"
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# )
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# if values.get("new_price") is None:
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# raise ValueError(
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# f"provide newPrc for product {values['external_product_id']}"
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# )
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# return values
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@validator("item_type")
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def set_item_type(cls, value):
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return value or ColumnItemType.PRODUCT
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@ -99,7 +72,6 @@ class ColumnsInput(BaseModel):
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class PlanogramInput(CorrelationId, BaseModel):
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machine_external_id: str = Field(
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alias="machineExternalId",
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description="Machine external ID",
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min_length=1,
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max_length=32,
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@ -124,15 +96,3 @@ class PlanogramsBulkInputPayload(BaseModel):
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class Config:
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populate_by_name = True
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alias_generator = to_camel_case
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# @root_validator
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# def check_machine_unique(cls, values):
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# planograms = values.get("planograms", [])
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# external_ids = set()
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# for planogram in planograms:
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# if planogram.machine_external_id in external_ids:
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# raise ValueError(
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# f"Machine externalId must be unique! Duplicate {planogram.machine_external_id}"
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# )
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# external_ids.add(planogram.machine_external_id)
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# return values
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9
main.py
9
main.py
@ -5,16 +5,17 @@ from benchmark.pydantic_benchmark.benchmark import PydanticBenchmark
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TEST_DATA_FILE = Path("test_data.json")
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BIG_TEST_DATA_FILE = Path("test_data-big.json")
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def main() -> None:
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pydantic_benchmark = PydanticBenchmark(TEST_DATA_FILE)
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def main(test_file: Path) -> None:
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pydantic_benchmark = PydanticBenchmark(test_file)
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pydantic_benchmark.execute()
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msgspec_benchmark = MsgSpecBenchmark(TEST_DATA_FILE)
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msgspec_benchmark = MsgSpecBenchmark(test_file)
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msgspec_benchmark.execute()
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if __name__ == "__main__":
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# create_test_file(TEST_DATA_FILE)
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main()
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main(TEST_DATA_FILE)
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