Source code for tamr_unify_client.models.project.estimated_pair_counts

from tamr_unify_client.models.base_resource import BaseResource


[docs]class EstimatedPairCounts(BaseResource): """Estimated Pair Counts info for Mastering Project""" @classmethod def from_json(cls, client, resource_json, api_path=None) -> "EstimatedPairCounts": return super().from_data(client, resource_json, api_path) @property def is_up_to_date(self) -> bool: """Whether an estimate pairs job has been run since the last edit to the binning model. :rtype: bool """ return self._data.get("isUpToDate") @property def total_estimate(self) -> dict: """The total number of estimated candidate pairs and generated pairs for the model across all clauses. :return: A dictionary containing candidate pairs and estimated pairs mapped to their corresponding estimated counts. For example:\n {\n "candidatePairCount": "54321",\n "generatedPairCount": "12345"\n } :rtype: dict[str, str] """ return self._data.get("totalEstimate") @property def clause_estimates(self) -> dict: """The estimated candidate pair count and generated pair count for each clause in the model. :return: A dictionary containing each clause name mapped to a dictionary containing the corresponding estimated candidate and generated pair counts. For example:\n {\n "Clause1": {\n "candidatePairCount": "321",\n "generatedPairCount": "123"\n },\n "Clause2": {\n "candidatePairCount": "654",\n "generatedPairCount": "456"\n }\n } :rtype: dict[str, dict[str, str]] """ return self._data.get("clauseEstimates") def __repr__(self) -> str: return ( f"{self.__class__.__module__}." f"{self.__class__.__qualname__}(" f"up_to_date={self.is_up_to_date!r}, " f"total_estimate={self.total_estimate!r}, " f"clause_estimates={self.clause_estimates!r})" )