aligned.local.job.FileFactualJob

class documentation

class FileFactualJob(RetrievalJob): (source)

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Undocumented

Method describe Undocumented
Async Method file_transformations Selects only the wanted subset from the loaded source
Method log_each_job Undocumented
Async Method to_lazy_polars Undocumented
Async Method to_pandas Undocumented
Async Method to_spark Undocumented
Class Variable date_formatter Undocumented
Class Variable facts Undocumented
Class Variable requests Undocumented
Class Variable source Undocumented
Property request_result Undocumented
Property retrieval_requests Undocumented

Inherited from RetrievalJob:

Static Method from_convertable Undocumented
Static Method from_dict Undocumented
Static Method from_lazy_function Undocumented
Static Method from_polars_df Undocumented
Method aggregate Undocumented
Method cache_raw_data Undocumented
Method cached_at Undocumented
Method chunked Undocumented
Method combined_features Undocumented
Method derive_features Undocumented
Method drop_duplicate_entities Undocumented
Method drop_invalid Drops invalid row based on the defined features.
Method ensure_types Undocumented
Method fill_missing_columns Undocumented
Method filter Filters based on a condition referencing either a feature, a feature name, or an polars expression to filter on.
Method ignore_event_timestamp Undocumented
Method inject_store Undocumented
Method join Undocumented
Method join_asof Undocumented
Method limit Undocumented
Method listen_to_events Undocumented
Method monitor_time_used Undocumented
Method on_error SomeView.query().all().on_error(ValueError, lambda e: pl.DataFrame(...))
Method on_load Undocumented
Method polars_method Undocumented
Method remove_derived_features Undocumented
Method rename Undocumented
Method return_invalid Undocumented
Method select Undocumented
Method select_columns Undocumented
Method split Undocumented
Async Method to_polars Undocumented
Method train_test Undocumented
Method train_test_validate Undocumented
Method transform_polars Undocumented
Method unique_entities Undocumented
Method unique_on Undocumented
Method unpack_embeddings Undocumented
Method update_vector_index Undocumented
Method validate_entites Undocumented
Method with_request Undocumented
Method with_subfeatures Undocumented
Method without_derived_features Undocumented
Async Method write_to_source Writes the output of the retrieval job to the passed source.
Property loaded_columns Undocumented
def describe(self) -> str: (source)
overrides aligned.retrieval_job.RetrievalJob.describe

Undocumented

async def file_transformations(self, df: pl.LazyFrame) -> pl.LazyFrame: (source)

Selects only the wanted subset from the loaded source

`python await self.file_transformations(await self.source.to_polars()) `

Args:
df (pl.LazyFrame): The loaded file source which contains all features
Returns:
pl.LazyFrame: The subset of the source which is needed for the request
def log_each_job(self, logger_func: Callable[[object], None] | None = None) -> RetrievalJob: (source)
overrides aligned.retrieval_job.RetrievalJob.log_each_job

Undocumented

async def to_lazy_polars(self) -> pl.LazyFrame: (source)
overrides aligned.retrieval_job.RetrievalJob.to_lazy_polars

Undocumented

async def to_pandas(self) -> pd.DataFrame: (source)
overrides aligned.retrieval_job.RetrievalJob.to_pandas

Undocumented

async def to_spark(self, session: SparkSession | None = None) -> SparkFrame: (source)
overrides aligned.retrieval_job.RetrievalJob.to_spark

Undocumented

date_formatter: DateFormatter = (source)

Undocumented

facts: RetrievalJob = (source)

Undocumented

requests: list[RetrievalRequest] = (source)

Undocumented

source: DataFileReference | RetrievalJob = (source)

Undocumented

request_result: RequestResult = (source)
overrides aligned.retrieval_job.RetrievalJob.request_result

Undocumented

retrieval_requests: list[RetrievalRequest] = (source)
overrides aligned.retrieval_job.RetrievalJob.retrieval_requests

Undocumented