Download evaluation_code/dp_bench_classes.py from ibm-research/dp-bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ibm-research/dp-bench/resolve/main/evaluation_code/dp_bench_classes.py
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4.12 kB
| from dataclasses import dataclass | |
| import copy | |
| from typing import * | |
| class Table: | |
| name: str | |
| columns: Set[str] | |
| column_types: Dict[str, str] = None | |
| class DerivedColumn: | |
| name: str | |
| provenance_sql: str | |
| provenance_tables: Dict[str, Table] | |
| class DataBase: | |
| name: str | |
| tables: Dict[str, Table] | |
| derived_columns: List[DerivedColumn] = None | |
| def get_column_count(self, include_derived_columns: bool = False): | |
| if include_derived_columns: | |
| temp_self = copy.deepcopy(self) | |
| if temp_self.derived_columns is not None: | |
| for dc in temp_self.derived_columns: | |
| for tabname, table in dc.provenance_tables.items(): | |
| if tabname not in temp_self.tables: | |
| temp_self.tables[tabname] = Table(name=tabname, columns=set()) | |
| temp_self.tables[tabname].columns |= table.columns | |
| else: | |
| temp_self = self | |
| return sum([len(tab.columns) for _, tab in temp_self.tables.items()]) | |
| def compare_column_overlap(self, other_db, include_derived_columns=False): | |
| count = 0 | |
| if include_derived_columns: | |
| temp_self = copy.deepcopy(self) | |
| temp_other = copy.deepcopy(other_db) | |
| if temp_self.derived_columns is not None: | |
| for dc in temp_self.derived_columns: | |
| for tabname, table in dc.provenance_tables.items(): | |
| if tabname not in temp_self.tables: | |
| temp_self.tables[tabname] = Table(name=tabname, columns=set()) | |
| temp_self.tables[tabname].columns |= table.columns | |
| if temp_other.derived_columns is not None: | |
| for dc in temp_other.derived_columns: | |
| for tabname, table in dc.provenance_tables.items(): | |
| if tabname not in temp_other.tables: | |
| temp_other.tables[tabname] = Table(name=tabname, columns=set()) | |
| temp_other.tables[tabname].columns |= table.columns | |
| else: | |
| temp_self = self | |
| temp_other = other_db | |
| for tabname, table in temp_self.tables.items(): | |
| if tabname not in temp_other.tables: | |
| continue | |
| if tabname in other_db.tables: | |
| count += len(table.columns.intersection(other_db.tables[tabname].columns)) | |
| return count | |
| def get_schema_for_sqlglot(self): | |
| return { | |
| tabname: { | |
| col: coltype | |
| for col, coltype in table.column_types.items() | |
| } | |
| for tabname, table in self.tables.items() | |
| } | |
| def filter_real_table_columns(real_db: DataBase, filter_db: DataBase, debug=False): | |
| bad_tables = [] | |
| for tabname, tab in filter_db.tables.items(): | |
| if tabname not in real_db.tables: | |
| bad_tables.append(tabname) | |
| else: | |
| if debug and tab.columns-real_db.tables[tabname].columns: | |
| print(f"bad cols ", tab.columns-real_db.tables[tabname].columns) | |
| tab.columns = tab.columns.intersection(real_db.tables[tabname].columns) | |
| if filter_db.derived_columns: | |
| for dc in filter_db.derived_columns: | |
| dc_bad_tables = [] | |
| for tabname, table in dc.provenance_tables.items(): | |
| if tabname not in real_db.tables: | |
| dc_bad_tables.append(tabname) | |
| else: | |
| cols = table.columns | |
| if debug: | |
| if cols.intersection(real_db.tables[tabname].columns) != cols: | |
| print(real_db.name, tabname, cols - real_db.tables[tabname].columns) | |
| dc.provenance_tables[tabname].columns = cols.intersection(real_db.tables[tabname].columns) | |
| for tab in dc_bad_tables: | |
| dc.provenance_tables.pop(tab) | |
| for tab in bad_tables: | |
| if debug: | |
| print(f"bad table ", tab) | |
| filter_db.tables.pop(tab, None) | |
| return filter_db |