from dataclasses import dataclass import copy from typing import * @dataclass class Table: name: str columns: Set[str] column_types: Dict[str, str] = None @dataclass class DerivedColumn: name: str provenance_sql: str provenance_tables: Dict[str, Table] @dataclass 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