generated from dopt-python/py311
code cleansing
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4b31142d13
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@ -566,11 +566,7 @@ class PipelineResult:
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self,
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self,
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data: pl.DataFrame,
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data: pl.DataFrame,
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) -> None:
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) -> None:
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print(self._results)
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res = pl.concat([self._results, data])
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res = pl.concat([self._results, data])
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# self._results = res.with_columns(
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# (pl.arange(0, res.height) + 1).alias("ID").cast(db.results_schema_map["ID"])
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# )
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self._results = res
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self._results = res
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def merge_pipeline(
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def merge_pipeline(
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@ -687,59 +683,6 @@ def get_expr_order_qty(
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return func
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return func
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# post-processing the results
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# TODO: order quantity not always necessary
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# TODO: change relevant criterion for order quantity
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# def _write_results(
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# pipe_result: PipelineResult,
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# data: pl.DataFrame,
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# vorlage: bool,
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# wf_id: int,
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# freigabe_auto: types.Freigabe,
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# is_out: bool,
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# ) -> PipelineResult:
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# ORDER_QTY_CRIT: typing.Final[str] = "BEDP_MENGE_BEDARF_VM"
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# results = data.rename(db.map_to_result)
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# order_qty_expr: pl.Expr
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# if is_out:
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# order_qty_expr = (
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# pl.lit(0)
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# .alias("ORDER_QTY_CRIT")
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# .alias("best_menge")
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# .cast(db.results_schema_map["best_menge"])
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# )
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# else:
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# order_qty_expr = pl.col(ORDER_QTY_CRIT).alias("best_menge")
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# results = results.with_columns(
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# [
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# pl.lit(vorlage).alias("vorlage").cast(db.results_schema_map["vorlage"]),
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# pl.lit(wf_id).alias("wf_id").cast(db.results_schema_map["wf_id"]),
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# order_qty_expr,
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# pl.lit(freigabe_auto.value)
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# .alias("freigabe_auto")
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# .cast(db.results_schema_map["freigabe_auto"]),
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# ]
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# )
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# results = results.drop(
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# [
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# "BEDP_TITELNR",
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# "BEDP_MAN",
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# "BEDP_MENGE_BEDARF_VM",
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# "MELDENUMMER",
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# "VERLAGSNR",
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# "MENGE_VORMERKER",
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# "MANDFUEHR",
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# ]
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# )
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# pipe_result.subtract_from_open(data)
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# pipe_result.add_results(results)
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# return pipe_result
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def wf900(
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def wf900(
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pipe_result: PipelineResult,
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pipe_result: PipelineResult,
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) -> PipelineResult:
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) -> PipelineResult:
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@ -1207,7 +1150,7 @@ wf_200_start_data
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# %%
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# %%
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engine.dispose()
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# %%
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# %%
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relevant_mnr: tuple[int, ...] = (17, 18)
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relevant_mnr: tuple[int, ...] = (17, 18)
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