From 0fe4e31c8e38e89de1b9e25409744a96bb90a57b Mon Sep 17 00:00:00 2001 From: Tim Band Date: Thu, 27 Nov 2025 19:10:14 +0000 Subject: [PATCH 01/15] Refactoring query construction out of the generator proposer --- datafaker/generators/base.py | 4 +- datafaker/generators/continuous.py | 220 ++++++++++++------ datafaker/generators/partitioned.py | 32 ++- ...test_interactive_generators_partitioned.py | 2 +- 4 files changed, 180 insertions(+), 78 deletions(-) diff --git a/datafaker/generators/base.py b/datafaker/generators/base.py index aba91b6..5371d4f 100644 --- a/datafaker/generators/base.py +++ b/datafaker/generators/base.py @@ -248,7 +248,9 @@ class GeneratorFactory(ABC): @abstractmethod def get_generators( - self, columns: list[Column], engine: Engine + self, + columns: list[Column], + engine: Engine, ) -> Sequence[Generator]: """Get the generators appropriate to these columns.""" diff --git a/datafaker/generators/continuous.py b/datafaker/generators/continuous.py index fc50c7f..80c2bd3 100644 --- a/datafaker/generators/continuous.py +++ b/datafaker/generators/continuous.py @@ -2,11 +2,12 @@ import itertools from collections.abc import Iterable, Sequence -from typing import Any +from typing import Any, Callable from sqlalchemy import Column, Engine, RowMapping, text from sqlalchemy.exc import SQLAlchemyError from sqlalchemy.types import Integer, Numeric +from typing_extensions import Self from datafaker.generators.base import ( Buckets, @@ -16,7 +17,7 @@ dist_gen, get_column_type, ) -from datafaker.utils import Empty, logger +from datafaker.utils import logger class ContinuousDistributionGenerator(Generator): @@ -354,111 +355,189 @@ def fit(self, default: float = -1) -> float: return default -class MultivariateNormalGeneratorFactory(GeneratorFactory): - """Normal distribution generator factory.""" +# pylint: disable=too-many-instance-attributes +class CovariateQuery: + """Query-constructing object for making a covariate matrix.""" - def function_name(self) -> str: - """Get the name of the generator function to call.""" - return "multivariate_normal" + def __init__(self, table: str, columns: Sequence[Column]) -> None: + """ + Initialize the query for the basics for multivariate normal/lognormal parameters. - def query_predicate(self, column: Column) -> str: - """Get the SQL expression for whether this column should be queried.""" - return column.name + " IS NOT NULL" + :param table: The name of the table to be queried. + :param columns: The columns in the multivariate distribution. + """ + self.table = table + self.columns = columns + self._predicates: Iterable[str] = [] + self._group_by_clause = "" + self._constant_clauses = "" + self._constants = "" + self._suppress_count = 1 + self._sample_count: int | None = None + self._var_fn = lambda x: x + self._predicate_fn = lambda x: x + " IS NOT NULL" + + def suppress_count(self, count: int) -> Self: + """ + Set the suppression count. - def query_var(self, column: str) -> str: - """Get the SQL expression of the value to query for this column.""" - return column + No set of categories will be included in the results that have + this many or fewer rows in the source. - # pylint: disable=too-many-arguments too-many-positional-arguments - def query( - self, - table: str, - columns: Sequence[Column], - predicates: Iterable[str] = Empty.iterable(), - group_by_clause: str = "", - constant_clauses: str = "", - constants: str = "", - suppress_count: int = 1, - sample_count: int | None = None, - ) -> str: + :param suppress_count: a group smaller than this will be suppressed. """ - Get a query for the basics for multivariate normal/lognormal parameters. + self._suppress_count = count + return self + + def sample_count(self, count: int) -> Self: + """ + Set the sample count. + + This many rows will be sampled at random from this partition. + + :param sample_count: this many samples will be taken from this partition. + """ + self._sample_count = count + return self + + def predicates(self, predicates: Iterable[str]) -> Self: + """ + Set the predicates to filter the queried table by. + + :param predicates: Additional where clauses. + """ + self._predicates = predicates + return self + + def group_by(self, clause: str) -> Self: + """ + Set the `GROUP BY` clause to the query for this partition. + + :param group_by_clause: Any GROUP BY clause to the query getting the partition. + """ + self._group_by_clause = clause + return self + + def constant_clauses(self, clause: str) -> Self: + """ + Set constant clauses. - :param table: The name of the table to be queried. - :param columns: The columns in the multivariate distribution. - :param and_where: Additional where clause. If not ``""`` should begin with ``" AND "``. - :param group_by_clause: Any GROUP BY clause (starting with " GROUP BY " if not ""). :param constant_clauses: Extra output columns in the outer SELECT clause, such as ", _q.column_one AS k1, _q.column_two AS k2". Note the initial comma. + """ + self._constant_clauses = clause + return self + + def constants(self, constants: str) -> Self: + """ + Set output constants to be selected alongside the actual results. + :param constants: Extra output columns in the inner SELECT clause. Used to deliver columns to the outer select, such as ", column_one, column_two". Note the initial comma. - :param suppress_count: a group smaller than this will be suppressed. - :param sample_count: this many samples will be taken from each partition. """ - means = "".join(f", _q.m{i}" for i in range(len(columns))) + self._constants = constants + return self + + def query_var_fn(self, fn: Callable[[str], str]) -> Self: + """ + Set a function to convert a column name into the value we want. + + For example, adding ``LN()`` around the name if we want log-normal distributions. + + :param fn: A function taking a column name and returning a SQL expression. + """ + self._var_fn = fn + return self + + def query_predicate_fn(self, fn: Callable[[Column], str]) -> Self: + """ + Set a function to make a predicate for whether the value should be used. + + For example, adding ``IS NOT NULL`` after the name if we want log-normal distributions. + + :param fn: A function to convert a column into a boolean SQL + expression for whether the value should be used. + """ + self._predicate_fn = fn + return self + + def get(self) -> str: + """ + Get the SQL query. + + :return: The SQL query for this partition. + """ + means = "".join(f", _q.m{i}" for i in range(len(self.columns))) covs = "".join( ( f", (_q.s{ix}_{iy} - _q.count * _q.m{ix} * _q.m{iy})" f"/NULLIF(_q.count - 1, 0) AS c{ix}_{iy}" ) - for iy in range(len(columns)) + for iy in range(len(self.columns)) for ix in range(iy + 1) ) - subquery = self._inner_query(table, columns, predicates, sample_count) + subquery = self._inner_query() # if there are any numeric columns we need at least # two rows to make any (co)variances at all - suppress_clause = f" WHERE {suppress_count} < _q.count" if columns else "" + suppress_clause = ( + f" WHERE {self._suppress_count} < _q.count" if self.columns else "" + ) + rank = len(self.columns) return ( - f"SELECT {len(columns)} AS rank{constant_clauses}, _q.count AS count{means}{covs}" - f" FROM ({self._middle_query(columns, constants, subquery, group_by_clause)})" + f"SELECT {rank} AS rank{self._constant_clauses}, _q.count AS count{means}{covs}" + f" FROM ({self._middle_query(subquery)})" f" AS _q{suppress_clause}" ) - def _inner_query( - self, - table: str, - columns: Sequence[Column], - predicates: Iterable[str], - sample_count: int | None, - ) -> str: + def _inner_query(self) -> str: """Get the rows from the table that we are interested in.""" preds = itertools.chain( - (self.query_predicate(col) for col in columns), - predicates, + (self._predicate_fn(col) for col in self.columns), + self._predicates, ) where = " AND ".join(preds) if preds else "" if where: where = " WHERE " + where - if sample_count is None: - return table + where + if self._sample_count is None: + return self.table + where return ( - f"(SELECT * FROM {table}{where} ORDER BY RANDOM()" - f" LIMIT {sample_count}) AS _sampled" + f"(SELECT * FROM {self.table}{where} ORDER BY RANDOM()" + f" LIMIT {self._sample_count}) AS _sampled" ) - def _middle_query( - self, - columns: Sequence[Column], - constants: str, - inner_query: str, - group_by_clause: str, - ) -> str: + def _middle_query(self, inner_query: str) -> str: """Get the basic statistics (and constants) from the inner query.""" multiples = "".join( - f", SUM({self.query_var(colx.name)} * {self.query_var(coly.name)}) AS s{ix}_{iy}" - for iy, coly in enumerate(columns) - for ix, colx in enumerate(columns[: iy + 1]) + f", SUM({self._var_fn(colx.name)} * {self._var_fn(coly.name)}) AS s{ix}_{iy}" + for iy, coly in enumerate(self.columns) + for ix, colx in enumerate(self.columns[: iy + 1]) ) avgs = "".join( - f", AVG({self.query_var(col.name)}) AS m{i}" - for i, col in enumerate(columns) + f", AVG({self._var_fn(col.name)}) AS m{i}" + for i, col in enumerate(self.columns) ) return ( - f"SELECT COUNT(*) AS count{multiples}{avgs}{constants}" - f" FROM {inner_query}{group_by_clause}" + f"SELECT COUNT(*) AS count{multiples}{avgs}{self._constants}" + f" FROM {inner_query}{self._group_by_clause}" ) + +class MultivariateNormalGeneratorFactory(GeneratorFactory): + """Normal distribution generator factory.""" + + def function_name(self) -> str: + """Get the name of the generator function to call.""" + return "multivariate_normal" + + def query_predicate(self, column: Column) -> str: + """Get the SQL expression for whether this column should be queried.""" + return column.name + " IS NOT NULL" + + def query_var(self, column: str) -> str: + """Get the SQL expression of the value to query for this column.""" + return column + def get_generators( self, columns: list[Column], engine: Engine ) -> Sequence[Generator]: @@ -473,7 +552,16 @@ def get_generators( return [] column_names = [c.name for c in columns] table = columns[0].table.name - query = self.query(table, columns) + query = ( + CovariateQuery(table, columns) + .query_var_fn( + self.query_var, + ) + .query_predicate_fn( + self.query_predicate, + ) + .get() + ) with engine.connect() as connection: try: covariates = connection.execute(text(query)).mappings().first() diff --git a/datafaker/generators/partitioned.py b/datafaker/generators/partitioned.py index f14af73..abbd118 100644 --- a/datafaker/generators/partitioned.py +++ b/datafaker/generators/partitioned.py @@ -9,7 +9,10 @@ from sqlalchemy.types import Integer, Numeric from datafaker.generators.base import Generator, dist_gen, get_column_type -from datafaker.generators.continuous import MultivariateNormalGeneratorFactory +from datafaker.generators.continuous import ( + CovariateQuery, + MultivariateNormalGeneratorFactory, +) from datafaker.utils import T, logger NumericType = Union[int, float] @@ -400,16 +403,25 @@ def _get_row_partition( sample_count: int | None = None, ) -> RowPartition: """Get the RowPartition from a NullPatternPartition.""" - query = self.query( - table=table, - columns=partition.included_numeric, - predicates=partition.predicates, - group_by_clause=partition.group_by_clause, - constants=partition.constants, - constant_clauses=partition.constant_clauses, - suppress_count=suppress_count, - sample_count=sample_count, + cq = CovariateQuery(table, partition.included_numeric) + cq.predicates( + partition.predicates, + ).group_by( + partition.group_by_clause, + ).constants( + partition.constants, + ).constant_clauses( + partition.constant_clauses, + ).suppress_count( + suppress_count, + ).query_var_fn( + self.query_var, + ).query_predicate_fn( + self.query_predicate, ) + if sample_count: + cq.sample_count(sample_count) + query = cq.get() return RowPartition( query, partition.included_numeric, diff --git a/tests/test_interactive_generators_partitioned.py b/tests/test_interactive_generators_partitioned.py index 3b21b53..c927455 100644 --- a/tests/test_interactive_generators_partitioned.py +++ b/tests/test_interactive_generators_partitioned.py @@ -207,7 +207,7 @@ def test_create_with_null_partitioned_grouped_multivariate(self) -> None: self.assertAlmostEqual( stats.four.count(), generate_count * 3 / 20, delta=generate_count * 0.2 ) - self.assertAlmostEqual(stats.four.covar(), 3.33, delta=1.3) + self.assertAlmostEqual(stats.four.covar(), 3.33, delta=1.5) # type 5/fish self.assertAlmostEqual( stats.fish.count(), generate_count * 3 / 20, delta=generate_count * 0.2 From 4d8e9c2eb2198aeb2b980ffc133eb93af0cd28bd Mon Sep 17 00:00:00 2001 From: Tim Band Date: Fri, 28 Nov 2025 18:21:39 +0000 Subject: [PATCH 02/15] Removd _get_row_partition --- datafaker/generators/continuous.py | 101 ++++++++++++++-------------- datafaker/generators/partitioned.py | 68 +++++++------------ 2 files changed, 74 insertions(+), 95 deletions(-) diff --git a/datafaker/generators/continuous.py b/datafaker/generators/continuous.py index 80c2bd3..9f226eb 100644 --- a/datafaker/generators/continuous.py +++ b/datafaker/generators/continuous.py @@ -1,8 +1,9 @@ """Generator factories for making generators of continuous distributions.""" import itertools +from abc import abstractmethod from collections.abc import Iterable, Sequence -from typing import Any, Callable +from typing import Any from sqlalchemy import Column, Engine, RowMapping, text from sqlalchemy.exc import SQLAlchemyError @@ -355,28 +356,54 @@ def fit(self, default: float = -1) -> float: return default +class MultivariateNormalGeneratorFactoryBase(GeneratorFactory): + """Generator factory that makes distributions and maybe partitions.""" + + @abstractmethod + def query_predicate(self, column: Column) -> str: + """Get the SQL expression for whether this column should be queried.""" + + @abstractmethod + def query_var(self, column: str) -> str: + """Get the SQL expression of the value to query for this column.""" + + # pylint: disable=too-many-instance-attributes class CovariateQuery: """Query-constructing object for making a covariate matrix.""" - def __init__(self, table: str, columns: Sequence[Column]) -> None: + def __init__( + self, + table: str, + factory: MultivariateNormalGeneratorFactoryBase, + ) -> None: """ Initialize the query for the basics for multivariate normal/lognormal parameters. :param table: The name of the table to be queried. - :param columns: The columns in the multivariate distribution. + :param factory: The generator factory, perhaps with overridden + ``query_var`` and ``query_predicate`` methods. """ self.table = table - self.columns = columns + self._columns: Sequence[Column] = [] self._predicates: Iterable[str] = [] self._group_by_clause = "" self._constant_clauses = "" self._constants = "" self._suppress_count = 1 self._sample_count: int | None = None - self._var_fn = lambda x: x + self._factory = factory self._predicate_fn = lambda x: x + " IS NOT NULL" + def columns(self, cols: Sequence[Column]) -> Self: + """ + Set the included columns. + + :param cols: The columns in the multivariate distribution. + """ + self._columns = cols + return self + def suppress_count(self, count: int) -> Self: """ Set the suppression count. @@ -384,7 +411,7 @@ def suppress_count(self, count: int) -> Self: No set of categories will be included in the results that have this many or fewer rows in the source. - :param suppress_count: a group smaller than this will be suppressed. + :param count: a group smaller than this will be suppressed. """ self._suppress_count = count return self @@ -395,7 +422,7 @@ def sample_count(self, count: int) -> Self: This many rows will be sampled at random from this partition. - :param sample_count: this many samples will be taken from this partition. + :param count: this many samples will be taken from this partition. """ self._sample_count = count return self @@ -439,51 +466,28 @@ def constants(self, constants: str) -> Self: self._constants = constants return self - def query_var_fn(self, fn: Callable[[str], str]) -> Self: - """ - Set a function to convert a column name into the value we want. - - For example, adding ``LN()`` around the name if we want log-normal distributions. - - :param fn: A function taking a column name and returning a SQL expression. - """ - self._var_fn = fn - return self - - def query_predicate_fn(self, fn: Callable[[Column], str]) -> Self: - """ - Set a function to make a predicate for whether the value should be used. - - For example, adding ``IS NOT NULL`` after the name if we want log-normal distributions. - - :param fn: A function to convert a column into a boolean SQL - expression for whether the value should be used. - """ - self._predicate_fn = fn - return self - def get(self) -> str: """ Get the SQL query. :return: The SQL query for this partition. """ - means = "".join(f", _q.m{i}" for i in range(len(self.columns))) + means = "".join(f", _q.m{i}" for i in range(len(self._columns))) covs = "".join( ( f", (_q.s{ix}_{iy} - _q.count * _q.m{ix} * _q.m{iy})" f"/NULLIF(_q.count - 1, 0) AS c{ix}_{iy}" ) - for iy in range(len(self.columns)) + for iy in range(len(self._columns)) for ix in range(iy + 1) ) subquery = self._inner_query() # if there are any numeric columns we need at least # two rows to make any (co)variances at all suppress_clause = ( - f" WHERE {self._suppress_count} < _q.count" if self.columns else "" + f" WHERE {self._suppress_count} < _q.count" if self._columns else "" ) - rank = len(self.columns) + rank = len(self._columns) return ( f"SELECT {rank} AS rank{self._constant_clauses}, _q.count AS count{means}{covs}" f" FROM ({self._middle_query(subquery)})" @@ -493,7 +497,7 @@ def get(self) -> str: def _inner_query(self) -> str: """Get the rows from the table that we are interested in.""" preds = itertools.chain( - (self._predicate_fn(col) for col in self.columns), + (self._factory.query_predicate(col) for col in self._columns), self._predicates, ) where = " AND ".join(preds) if preds else "" @@ -509,13 +513,16 @@ def _inner_query(self) -> str: def _middle_query(self, inner_query: str) -> str: """Get the basic statistics (and constants) from the inner query.""" multiples = "".join( - f", SUM({self._var_fn(colx.name)} * {self._var_fn(coly.name)}) AS s{ix}_{iy}" - for iy, coly in enumerate(self.columns) - for ix, colx in enumerate(self.columns[: iy + 1]) + ( + f", SUM({self._factory.query_var(colx.name)}" + f" * {self._factory.query_var(coly.name)}) AS s{ix}_{iy}" + ) + for iy, coly in enumerate(self._columns) + for ix, colx in enumerate(self._columns[: iy + 1]) ) avgs = "".join( - f", AVG({self._var_fn(col.name)}) AS m{i}" - for i, col in enumerate(self.columns) + f", AVG({self._factory.query_var(col.name)}) AS m{i}" + for i, col in enumerate(self._columns) ) return ( f"SELECT COUNT(*) AS count{multiples}{avgs}{self._constants}" @@ -523,7 +530,7 @@ def _middle_query(self, inner_query: str) -> str: ) -class MultivariateNormalGeneratorFactory(GeneratorFactory): +class MultivariateNormalGeneratorFactory(MultivariateNormalGeneratorFactoryBase): """Normal distribution generator factory.""" def function_name(self) -> str: @@ -552,16 +559,8 @@ def get_generators( return [] column_names = [c.name for c in columns] table = columns[0].table.name - query = ( - CovariateQuery(table, columns) - .query_var_fn( - self.query_var, - ) - .query_predicate_fn( - self.query_predicate, - ) - .get() - ) + cq = CovariateQuery(table, self).columns(columns) + query = cq.get() with engine.connect() as connection: try: covariates = connection.execute(text(query)).mappings().first() diff --git a/datafaker/generators/partitioned.py b/datafaker/generators/partitioned.py index abbd118..e1e5f0a 100644 --- a/datafaker/generators/partitioned.py +++ b/datafaker/generators/partitioned.py @@ -395,42 +395,6 @@ def get_partition_count_query( f' FROM {table} GROUP BY "index") AS _q {where}' ) - def _get_row_partition( - self, - table: str, - partition: NullPatternPartition, - suppress_count: int = 1, - sample_count: int | None = None, - ) -> RowPartition: - """Get the RowPartition from a NullPatternPartition.""" - cq = CovariateQuery(table, partition.included_numeric) - cq.predicates( - partition.predicates, - ).group_by( - partition.group_by_clause, - ).constants( - partition.constants, - ).constant_clauses( - partition.constant_clauses, - ).suppress_count( - suppress_count, - ).query_var_fn( - self.query_var, - ).query_predicate_fn( - self.query_predicate, - ) - if sample_count: - cq.sample_count(sample_count) - query = cq.get() - return RowPartition( - query, - partition.included_numeric, - partition.included_choice, - partition.excluded, - partition.nones, - [], - ) - # pylint: disable=too-many-arguments too-many-positional-arguments def _get_generator( self, @@ -438,20 +402,38 @@ def _get_generator( table_name: str, columns: list[Column], nullable_columns: list[NullableColumn], - where: str | None = None, name_suffix: str | None = None, suppress_count: int = 1, sample_count: int | None = None, ) -> NullPartitionedNormalGenerator | None: + where = "" + if 1 < suppress_count: + where = f' WHERE {suppress_count} < "count"' query = self.get_partition_count_query(nullable_columns, table_name, where) partitions: dict[int, RowPartition] = {} + cov_query = CovariateQuery(table_name, self).suppress_count(suppress_count) + if sample_count: + cov_query.sample_count(sample_count) for partition_nonnulls in powerset(nullable_columns): partition_def = NullPatternPartition(columns, partition_nonnulls) - partitions[partition_def.index] = self._get_row_partition( - table_name, - partition_def, - suppress_count=suppress_count, - sample_count=sample_count, + cov_query.columns( + partition_def.included_numeric, + ).predicates( + partition_def.predicates, + ).group_by( + partition_def.group_by_clause, + ).constants( + partition_def.constants, + ).constant_clauses( + partition_def.constant_clauses, + ) + partitions[partition_def.index] = RowPartition( + cov_query.get(), + partition_def.included_numeric, + partition_def.included_choice, + partition_def.excluded, + partition_def.nones, + [], ) if not self._execute_partition_queries(connection, partitions): return None @@ -505,7 +487,6 @@ def get_generators( table, columns, nullable_columns, - where=f"WHERE {self.SUPPRESS_COUNT} < count", name_suffix="sampled and suppressed", suppress_count=self.SUPPRESS_COUNT, sample_count=self.SAMPLE_COUNT, @@ -517,7 +498,6 @@ def get_generators( table, columns, nullable_columns, - where=f"WHERE {self.SUPPRESS_COUNT} < count", name_suffix="suppressed", suppress_count=self.SUPPRESS_COUNT, ) From 0230da2fadb554db024864c4147037663028ff09 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Fri, 28 Nov 2025 18:41:55 +0000 Subject: [PATCH 03/15] A bit more refactoring --- datafaker/generators/continuous.py | 8 +++--- datafaker/generators/partitioned.py | 39 +++++++++++++---------------- 2 files changed, 22 insertions(+), 25 deletions(-) diff --git a/datafaker/generators/continuous.py b/datafaker/generators/continuous.py index 9f226eb..890edbc 100644 --- a/datafaker/generators/continuous.py +++ b/datafaker/generators/continuous.py @@ -390,7 +390,7 @@ def __init__( self._group_by_clause = "" self._constant_clauses = "" self._constants = "" - self._suppress_count = 1 + self.suppress_count = 1 self._sample_count: int | None = None self._factory = factory self._predicate_fn = lambda x: x + " IS NOT NULL" @@ -404,7 +404,7 @@ def columns(self, cols: Sequence[Column]) -> Self: self._columns = cols return self - def suppress_count(self, count: int) -> Self: + def set_suppress_count(self, count: int) -> Self: """ Set the suppression count. @@ -413,7 +413,7 @@ def suppress_count(self, count: int) -> Self: :param count: a group smaller than this will be suppressed. """ - self._suppress_count = count + self.suppress_count = count return self def sample_count(self, count: int) -> Self: @@ -485,7 +485,7 @@ def get(self) -> str: # if there are any numeric columns we need at least # two rows to make any (co)variances at all suppress_clause = ( - f" WHERE {self._suppress_count} < _q.count" if self._columns else "" + f" WHERE {self.suppress_count} < _q.count" if self._columns else "" ) rank = len(self._columns) return ( diff --git a/datafaker/generators/partitioned.py b/datafaker/generators/partitioned.py index e1e5f0a..5719d67 100644 --- a/datafaker/generators/partitioned.py +++ b/datafaker/generators/partitioned.py @@ -399,21 +399,16 @@ def get_partition_count_query( def _get_generator( self, connection: Connection, - table_name: str, + cov_query: CovariateQuery, columns: list[Column], nullable_columns: list[NullableColumn], name_suffix: str | None = None, - suppress_count: int = 1, - sample_count: int | None = None, ) -> NullPartitionedNormalGenerator | None: where = "" - if 1 < suppress_count: - where = f' WHERE {suppress_count} < "count"' - query = self.get_partition_count_query(nullable_columns, table_name, where) + if 1 < cov_query.suppress_count: + where = f' WHERE {cov_query.suppress_count} < "count"' + query = self.get_partition_count_query(nullable_columns, cov_query.table, where) partitions: dict[int, RowPartition] = {} - cov_query = CovariateQuery(table_name, self).suppress_count(suppress_count) - if sample_count: - cov_query.sample_count(sample_count) for partition_nonnulls in powerset(nullable_columns): partition_def = NullPatternPartition(columns, partition_nonnulls) cov_query.columns( @@ -438,14 +433,14 @@ def _get_generator( if not self._execute_partition_queries(connection, partitions): return None return NullPartitionedNormalGenerator( - f"{table_name}__{columns[0].name}", + f"{cov_query.table}__{columns[0].name}", partitions, self.function_name(), name_suffix=name_suffix, partition_count_query=PartitionCountQuery( connection, query, - table_name, + cov_query.table, nullable_columns, ), ) @@ -463,43 +458,45 @@ def get_generators( gens: list[Generator | None] = [] try: with engine.connect() as connection: + cov_query = CovariateQuery(table, self) gens.append( self._get_generator( connection, - table, + cov_query, columns, nullable_columns, ) ) + cov_query = cov_query.sample_count(self.SAMPLE_COUNT) gens.append( self._get_generator( connection, - table, + cov_query, columns, nullable_columns, name_suffix="sampled", - sample_count=self.SAMPLE_COUNT, ) ) + cov_query = CovariateQuery(table, self).set_suppress_count( + self.SUPPRESS_COUNT + ) gens.append( self._get_generator( connection, - table, + cov_query, columns, nullable_columns, - name_suffix="sampled and suppressed", - suppress_count=self.SUPPRESS_COUNT, - sample_count=self.SAMPLE_COUNT, + name_suffix="suppressed", ) ) + cov_query = cov_query.sample_count(self.SAMPLE_COUNT) gens.append( self._get_generator( connection, - table, + cov_query, columns, nullable_columns, - name_suffix="suppressed", - suppress_count=self.SUPPRESS_COUNT, + name_suffix="sampled and suppressed", ) ) except sqlalchemy.exc.DatabaseError as exc: From 6d26ee51edb3c916f9ad2200a6bf3df312faa989 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Mon, 1 Dec 2025 10:57:26 +0000 Subject: [PATCH 04/15] Fixed #73 Grouped generators query results overlap --- datafaker/generators/partitioned.py | 1 + ...test_interactive_generators_partitioned.py | 33 +++++++++++++++++++ 2 files changed, 34 insertions(+) diff --git a/datafaker/generators/partitioned.py b/datafaker/generators/partitioned.py index 5719d67..70163e7 100644 --- a/datafaker/generators/partitioned.py +++ b/datafaker/generators/partitioned.py @@ -325,6 +325,7 @@ def __init__( self.group_by_clause = " GROUP BY " + col_name self.constant_clauses += f", _q.{col_name} AS k{index}" self.constants += ", " + col_name + self.predicates.append(f"{col_name} IS NOT NULL") else: self.excluded[col_name] = f"{col_name} IS NULL" self.predicates.append(f"{col_name} IS NULL") diff --git a/tests/test_interactive_generators_partitioned.py b/tests/test_interactive_generators_partitioned.py index c927455..0a8e231 100644 --- a/tests/test_interactive_generators_partitioned.py +++ b/tests/test_interactive_generators_partitioned.py @@ -332,6 +332,39 @@ def test_create_with_null_partitioned_grouped_sampled_and_suppressed(self) -> No self.assertAlmostEqual(stats.fowl.x_mean(), 11.2, delta=8.0) self.assertAlmostEqual(stats.fowl.x_var(), 1.24, delta=0.6) + def test_null_partitioned_grouped_defines_all_its_constants(self) -> None: + """Test EAV for all columns with sampled and suppressed generation.""" + with self._get_cmd({}) as gc: + self.merge_columns( + gc, + "measurement", + [ + "type", + "first_value", + "second_value", + "third_value", + ], + ) + proposals = self._propose(gc) + dist_to_choose = ( + "null-partitioned grouped_multivariate_normal [sampled and suppressed]" + ) + self.assertIn(dist_to_choose, proposals) + prop = proposals[dist_to_choose] + gc.do_compare(str(prop[0])) + gc.do_set(str(prop[0])) + gc.do_quit("") + self.set_configuration(gc.config) + src_stats = self.get_src_stats(gc.config) + results = [result for ss in src_stats.values() for result in ss["results"]] + constants = [ + v + for result in results + for k, v in result.items() + if k[0] == "k" and k[1:].isdecimal() + ] + self.assertNotIn(None, constants) + def test_create_with_null_partitioned_grouped_sampled_only(self) -> None: """Test EAV for all columns with sampled generation but no suppression.""" table_name = "measurement" From c0125c5842d17f6a7cfb4eea515fc8189486b5e9 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Mon, 1 Dec 2025 19:22:39 +0000 Subject: [PATCH 05/15] FKs to concept table named, initial implementation --- datafaker/generators/continuous.py | 61 +++++++++++++++++++++-------- datafaker/generators/partitioned.py | 8 +--- datafaker/main.py | 12 +----- datafaker/make.py | 28 +------------ tests/test_functional.py | 2 - tests/test_main.py | 8 +--- tests/utils.py | 2 +- 7 files changed, 53 insertions(+), 68 deletions(-) diff --git a/datafaker/generators/continuous.py b/datafaker/generators/continuous.py index 890edbc..77495af 100644 --- a/datafaker/generators/continuous.py +++ b/datafaker/generators/continuous.py @@ -388,8 +388,7 @@ def __init__( self._columns: Sequence[Column] = [] self._predicates: Iterable[str] = [] self._group_by_clause = "" - self._constant_clauses = "" - self._constants = "" + self._constant_clauses: dict[int, Column] = {} self.suppress_count = 1 self._sample_count: int | None = None self._factory = factory @@ -445,26 +444,54 @@ def group_by(self, clause: str) -> Self: self._group_by_clause = clause return self - def constant_clauses(self, clause: str) -> Self: + def constant_clauses(self, clauses: dict[int, Column]) -> Self: """ Set constant clauses. - :param constant_clauses: Extra output columns in the outer SELECT clause, such - as ", _q.column_one AS k1, _q.column_two AS k2". Note the initial comma. + :param constant_clauses: Extra output columns in the outer SELECT clause. + This is in the form of a dict from an integer index to the name of the + column being extracted. The index is the position of this constant in + the list of non-null outputs. """ - self._constant_clauses = clause + self._constant_clauses = clauses return self - def constants(self, constants: str) -> Self: + def _get_constants_and_joins(self) -> tuple[str, str]: """ - Set output constants to be selected alongside the actual results. + Extra JOINs to give names to foreign keys. - :param constants: Extra output columns in the inner SELECT clause. Used to - deliver columns to the outer select, such as ", column_one, column_two". - Note the initial comma. + This enables information governance people can understand the results better. + :return: A pair of strings; one is constants in the SELECT clause, the second is + JOIN clauses to join tables to the outer query in order to make names appear + in the output. """ - self._constants = constants - return self + named_tables = {"concept": "concept_name"} + col_to_named_fks = { + col.name: [ + fk.column + for fk in col.foreign_keys + if fk.column.table.name in named_tables + ] + for col in self._constant_clauses.values() + } + col_to_named_fk = {col: fks[0] for col, fks in col_to_named_fks.items() if fks} + name_joins = "" + constants = "" + for index, col in self._constant_clauses.items(): + col_name = col.name + constants += f", _q.{col_name} AS k{index}" + if col_name in col_to_named_fk: + fk_target = col_to_named_fk[col_name] + fk_target_table = fk_target.table.name + name_joins += ( + f" JOIN {fk_target_table} AS _j{index}" + f" ON _q.{col_name}=_j{index}.{fk_target.name}" + ) + constants += ( + f", _j{index}.{named_tables[fk_target_table]}" + f" AS k{index}_{col_name}__name" + ) + return name_joins, constants def get(self) -> str: """ @@ -488,10 +515,11 @@ def get(self) -> str: f" WHERE {self.suppress_count} < _q.count" if self._columns else "" ) rank = len(self._columns) + name_joins, constants = self._get_constants_and_joins() return ( - f"SELECT {rank} AS rank{self._constant_clauses}, _q.count AS count{means}{covs}" + f"SELECT {rank} AS rank{constants}, _q.count AS count{means}{covs}" f" FROM ({self._middle_query(subquery)})" - f" AS _q{suppress_clause}" + f" AS _q{name_joins}{suppress_clause}" ) def _inner_query(self) -> str: @@ -524,8 +552,9 @@ def _middle_query(self, inner_query: str) -> str: f", AVG({self._factory.query_var(col.name)}) AS m{i}" for i, col in enumerate(self._columns) ) + constants = "".join(", " + col.name for col in self._constant_clauses.values()) return ( - f"SELECT COUNT(*) AS count{multiples}{avgs}{self._constants}" + f"SELECT COUNT(*) AS count{multiples}{avgs}{constants}" f" FROM {inner_query}{self._group_by_clause}" ) diff --git a/datafaker/generators/partitioned.py b/datafaker/generators/partitioned.py index 70163e7..29f120b 100644 --- a/datafaker/generators/partitioned.py +++ b/datafaker/generators/partitioned.py @@ -306,8 +306,7 @@ def __init__( self.included_numeric: list[Column] = [] self.included_choice: dict[int, str] = {} self.group_by_clause = "" - self.constant_clauses = "" - self.constants = "" + self.constant_clauses: dict[int, Column] = {} self.excluded: dict[str, str] = {} self.predicates: list[str] = [] self.nones: dict[int, None] = {} @@ -323,8 +322,7 @@ def __init__( self.group_by_clause += ", " + col_name else: self.group_by_clause = " GROUP BY " + col_name - self.constant_clauses += f", _q.{col_name} AS k{index}" - self.constants += ", " + col_name + self.constant_clauses[index] = column self.predicates.append(f"{col_name} IS NOT NULL") else: self.excluded[col_name] = f"{col_name} IS NULL" @@ -418,8 +416,6 @@ def _get_generator( partition_def.predicates, ).group_by( partition_def.group_by_clause, - ).constants( - partition_def.constants, ).constant_clauses( partition_def.constant_clauses, ) diff --git a/datafaker/main.py b/datafaker/main.py index 5a89d5e..47f0888 100644 --- a/datafaker/main.py +++ b/datafaker/main.py @@ -334,13 +334,6 @@ def make_stats( @app.command() def make_tables( - config_file: Optional[str] = Option( - None, - help=( - "The configuration file, used if you want" - " an orm.yaml lacking data for the ignored tables" - ), - ), orm_file: str = Option(ORM_FILENAME, help="Path to write the ORM yaml file to"), force: bool = Option( False, "--force", "-f", help="Overwrite any existing orm yaml file." @@ -357,11 +350,10 @@ def make_tables( if not force: _check_file_non_existence(orm_file_path) - config = read_config_file(config_file) if config_file is not None else {} settings = get_settings() src_dsn: str = _require_src_db_dsn(settings) - content = make_tables_file(src_dsn, settings.src_schema, config) + content = make_tables_file(src_dsn, settings.src_schema) orm_file_path.write_text(content, encoding="utf-8") logger.debug("%s created.", orm_file) @@ -449,7 +441,7 @@ def configure_generators( config = yaml.load( config_file_path.read_text(encoding="UTF-8"), Loader=yaml.SafeLoader ) - metadata = load_metadata(orm_file, config) + metadata = load_metadata(orm_file) config_updated = update_config_generators( src_dsn, settings.src_schema, metadata, config, spec_path=spec ) diff --git a/datafaker/make.py b/datafaker/make.py index 6f4cc9b..1a16ec5 100644 --- a/datafaker/make.py +++ b/datafaker/make.py @@ -29,7 +29,6 @@ create_db_engine, download_table, get_columns_assigned, - get_flag, get_property, get_related_table_names, get_row_generators, @@ -694,37 +693,14 @@ def _generate_vocabulary_table( download_table(table, engine, yaml_file_name, compress) -def make_tables_file( - db_dsn: str, schema_name: Optional[str], config: Mapping[str, Any] -) -> str: +def make_tables_file(db_dsn: str, schema_name: Optional[str]) -> str: """Construct the YAML file representing the schema.""" - tables_config = config.get("tables", {}) engine = get_sync_engine(create_db_engine(db_dsn, schema_name=schema_name)) - def reflect_if(table_name: str, _: Any) -> bool: - table_config = tables_config.get(table_name, {}) - ignore = get_flag(table_config, "ignore") - return not ignore - metadata = MetaData() - metadata.reflect( - engine, - only=reflect_if, - ) + metadata.reflect(engine) meta_dict = metadata_to_dict(metadata, schema_name, engine) - for table_name in metadata.tables.keys(): - table_config = tables_config.get(table_name, {}) - ignore = get_flag(table_config, "ignore") - if ignore: - logger.warning( - "Table %s is supposed to be ignored but there is a foreign key " - "reference to it. " - "You may need to create this table manually at the dst schema before " - "running create-tables.", - table_name, - ) - return yaml.dump(meta_dict) diff --git a/tests/test_functional.py b/tests/test_functional.py index bfb2f09..9d2fad7 100644 --- a/tests/test_functional.py +++ b/tests/test_functional.py @@ -207,7 +207,6 @@ def test_workflow_maximal_args(self) -> None: completed_process = self.invoke( "--verbose", "make-tables", - f"--config-file={self.config_file_path}", f"--orm-file={self.alt_orm_file_path}", "--force", ) @@ -596,7 +595,6 @@ def test_create_schema(self) -> None: self.invoke( "make-tables", "--force", - f"--config-file={self.config_file_path}", env=env, ) diff --git a/tests/test_main.py b/tests/test_main.py index 2167207..a8ab67f 100644 --- a/tests/test_main.py +++ b/tests/test_main.py @@ -259,33 +259,28 @@ def test_create_data( @patch("datafaker.main.Path") @patch("datafaker.main.make_tables_file") @patch("datafaker.main.get_settings") - @patch("datafaker.main.read_config_file") def test_make_tables( self, - mock_config_yaml_file: MagicMock, mock_get_settings: MagicMock, mock_make_tables_file: MagicMock, mock_path: MagicMock, ) -> None: """Test the make-tables sub-command.""" - mock_config = MagicMock() mock_path.return_value.exists.return_value = False mock_get_settings.return_value = get_test_settings() mock_make_tables_file.return_value = "some text" - mock_config_yaml_file.return_value = mock_config result = runner.invoke( app, [ "make-tables", - "--config-file=config.yaml", ], catch_exceptions=False, ) mock_make_tables_file.assert_called_once_with( - "postgresql://suser:spassword@shost:5432/sdbname", None, mock_config + "postgresql://suser:spassword@shost:5432/sdbname", None ) mock_path.return_value.write_text.assert_called_once_with( "some text", encoding="utf-8" @@ -364,7 +359,6 @@ def test_make_tables_with_force_enabled( mock_make_tables.assert_called_once_with( mock_get_settings.return_value.src_dsn, mock_get_settings.return_value.src_schema, - {}, ) mock_path.return_value.write_text.assert_called_once_with( mock_tables_output, encoding="utf-8" diff --git a/tests/utils.py b/tests/utils.py index 4a7e85b..db9a458 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -218,7 +218,7 @@ def setUp(self) -> None: # Generate the `orm.yaml` from the database (self.orm_fd, self.orm_file_path) = mkstemp(".yaml", "orm_", text=True) with os.fdopen(self.orm_fd, "w", encoding="utf-8") as orm_fh: - orm_fh.write(make_tables_file(self.dsn, self.schema_name, {})) + orm_fh.write(make_tables_file(self.dsn, self.schema_name)) def set_configuration(self, config: Mapping[str, Any]) -> None: """Accepts a configuration file, writes it out.""" From 4275014d1b26a8c254d7ef56e6ae84e0f6dfdd49 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Fri, 5 Dec 2025 11:41:38 +0000 Subject: [PATCH 06/15] Many extra comments output with partitions --- datafaker/generators/base.py | 8 +- datafaker/generators/choice.py | 4 +- datafaker/generators/continuous.py | 37 +++++++- datafaker/generators/partitioned.py | 137 +++++++++++++++++++++------ datafaker/interactive/generators.py | 4 +- datafaker/interactive/missingness.py | 30 +++--- 6 files changed, 166 insertions(+), 54 deletions(-) diff --git a/datafaker/generators/base.py b/datafaker/generators/base.py index 5371d4f..16324d5 100644 --- a/datafaker/generators/base.py +++ b/datafaker/generators/base.py @@ -86,7 +86,7 @@ def select_aggregate_clauses(self) -> dict[str, dict[str, str]]: """ return {} - def custom_queries(self) -> dict[str, dict[str, str]]: + def custom_queries(self) -> dict[str, dict[str, Any]]: """ Get the SQL queries to add to SRC_STATS. @@ -95,7 +95,7 @@ def custom_queries(self) -> dict[str, dict[str, str]]: For example {"myquery": { "query": "SELECT one, too AS two FROM mytable WHERE too > 1", - "comment": "big enough one and two from table mytable" + "comments": ["big enough one and two from table mytable"] }} will populate SRC_STATS["myquery"]["results"][0]["one"] and SRC_STATS["myquery"]["results"][0]["two"] @@ -209,7 +209,7 @@ def __init__( logger.debug("Custom query %s is '%s'", name, query) self._custom_queries[name] = { "query": query, - "comment": comments[0] if comments else None, + "comments": comments, } def function_name(self) -> str: @@ -224,7 +224,7 @@ def select_aggregate_clauses(self) -> dict[str, dict[str, str]]: """Get the query fragments the generators need to call.""" return self._select_aggregate_clauses - def custom_queries(self) -> dict[str, dict[str, str]]: + def custom_queries(self) -> dict[str, dict[str, Any]]: """Get the queries the generators need to call.""" return self._custom_queries diff --git a/datafaker/generators/choice.py b/datafaker/generators/choice.py index aa1d838..6f15303 100644 --- a/datafaker/generators/choice.py +++ b/datafaker/generators/choice.py @@ -151,14 +151,14 @@ def actual_kwargs(self) -> dict[str, Any]: "a": self.values, } - def custom_queries(self) -> dict[str, dict[str, str]]: + def custom_queries(self) -> dict[str, dict[str, Any]]: """Get the queries the generators need to call.""" qs = super().custom_queries() return { **qs, f"auto__{self.table_name}__{self.column_name}": { "query": self._query, - "comment": self._comment, + "comments": [self._comment], }, } diff --git a/datafaker/generators/continuous.py b/datafaker/generators/continuous.py index 77495af..48e32be 100644 --- a/datafaker/generators/continuous.py +++ b/datafaker/generators/continuous.py @@ -332,10 +332,10 @@ def custom_queries(self) -> dict[str, Any]: cols = ", ".join(self._columns) return { f"auto__cov__{self._table}": { - "comment": ( + "comments": [ f"Means and covariate matrix for the columns {cols}," " so that we can produce the relatedness between these in the fake data." - ), + ], "query": self._query, } } @@ -367,6 +367,15 @@ def query_predicate(self, column: Column) -> str: def query_var(self, column: str) -> str: """Get the SQL expression of the value to query for this column.""" + @abstractmethod + def query_comment(self) -> str: + """ + Return the human-readable comment for this generator. + + Should have a ``{columns}`` reference to the list of columns, + which will be a string like ``apples, pears and bananas``. + """ + # pylint: disable=too-many-instance-attributes class CovariateQuery: @@ -394,6 +403,15 @@ def __init__( self._factory = factory self._predicate_fn = lambda x: x + " IS NOT NULL" + def get_query_comment(self) -> str: + """ + Return the human-readable comment for this generator. + + Should have a ``{columns}`` reference to the list of columns, + which will be a string like ``apples, pears and bananas``. + """ + return self._factory.query_comment() + def columns(self, cols: Sequence[Column]) -> Self: """ Set the included columns. @@ -465,6 +483,7 @@ def _get_constants_and_joins(self) -> tuple[str, str]: JOIN clauses to join tables to the outer query in order to make names appear in the output. """ + # TODO get this from config.yaml named_tables = {"concept": "concept_name"} col_to_named_fks = { col.name: [ @@ -574,6 +593,13 @@ def query_var(self, column: str) -> str: """Get the SQL expression of the value to query for this column.""" return column + def query_comment(self) -> str: + """Return the human-readable comment for this generator.""" + return ( + "This query provides the covariate matrix for a multivariate" + " normal distribution over the columns {columns}." + ) + def get_generators( self, columns: list[Column], engine: Engine ) -> Sequence[Generator]: @@ -623,3 +649,10 @@ def query_predicate(self, column: Column) -> str: def query_var(self, column: str) -> str: """Get the expression to query for, for this column.""" return f"LN({column})" + + def query_comment(self) -> str: + """Return the human-readable comment for this generator.""" + return ( + "This query provides the covariate matrix for a multivariate" + " lognormal distribution over the columns {columns}." + ) diff --git a/datafaker/generators/partitioned.py b/datafaker/generators/partitioned.py index 29f120b..37f2c8a 100644 --- a/datafaker/generators/partitioned.py +++ b/datafaker/generators/partitioned.py @@ -44,6 +44,7 @@ class RowPartition: """A partition where all the rows have the same pattern of NULLs.""" query: str + query_comment: str # list of numeric columns included_numeric: list[Column] # map of indices to column names that are being grouped by. @@ -56,30 +57,85 @@ class RowPartition: # map of constant outputs that need to be inserted into the # list of included column values (so once the generator has # been run and the included_choice values have been - # added): {index: value} + # added): {index: None}. This is adding excluded column + # values to the output. constant_outputs: dict[int, Any] # The actual covariates from the source database covariates: Sequence[RowMapping] - def comment(self) -> str: - """Make an appropriate comment for this partition.""" + def overall_comment(self) -> str: + """Get a comment about the row generator that uses this query.""" + columns = ( + [c.name for c in self.included_numeric] + + list(self.included_choice.values()) + + list(self.excluded_columns.keys()) + ) + return self.query_comment.format(columns=text_list(columns)) + + def constant_comments(self) -> list[str]: + """Get comments about the kN values in the results.""" + return [ + f"k{index} is the value in column {col}." + for index, col in self.included_choice.items() + ] + + def comments(self) -> list[str]: + """Make a appropriate comments for this partition.""" caveat = "" if self.included_choice: - caveat = f" (for each possible value of {text_list(self.included_choice.values())})" + icvs = self.included_choice.values() + if len(icvs) == 1: + caveat = f" for each value found in the column {list(icvs)[0]}" + else: + caveat = f" for each combination of values found in the columns {text_list(icvs)}" if not self.included_numeric: - return f"Number of rows for which {text_list(self.excluded_columns.values())}{caveat}" + return [ + self.overall_comment(), + f"Number of rows for which {text_list(self.excluded_columns.values())}{caveat}", + ] + self.constant_comments() if not self.excluded_columns: where = "" else: where = f" where {text_list(self.excluded_columns.values())}" if len(self.included_numeric) == 1: - return ( - f"Mean and variance for column {self.included_numeric[0].name}{where}." + return [ + self.overall_comment(), + "These results are the mean (m0) and variance (c0_0) for the numbers" + f" in the column {self.included_numeric[0].name}{where}{caveat}.", + ] + self.constant_comments() + cov_explainers = [ + [ + f"m{index} refers to the mean" + f" of the values in the column {col_name.name}", + f"c{index}_{index} refers to the variance" + f" of the values in the column {col_name.name}", + ] + for index, col_name in enumerate(self.included_numeric) + ] + if len(self.included_numeric) == 2: + cov_explainers.append( + [ + "c0_1 refers to the covariance between columns" + f" {self.included_numeric[0].name} and {self.included_numeric[1].name}" + ] + ) + else: + cov_explainers.append( + [ + "The cN_M results refer to the covariances between these numeric columns" + ] ) return ( - "Means and covariate matrix for the columns " - f"{text_list(col.name for col in self.included_numeric)}{where}{caveat} so that we can" - " produce the relatedness between these in the fake data." + [ + self.overall_comment(), + "These results are the means (mN) and covariate matrix (cN_M)" + " for the columns" + f" {text_list(col.name for col in self.included_numeric)}" + f"{where}{caveat} so that we can" + " produce the relatedness between these in the fake data.", + ] + + [exp for ce in cov_explainers for exp in ce] + + self.constant_comments() ) @@ -99,8 +155,8 @@ def __init__( self, connection: Connection, query: str, - table_name: str, nullable_columns: Iterable[NullableColumn], + overall_comment: str, ) -> None: """ Initialise the partition count query. @@ -113,11 +169,15 @@ def __init__( self.query = query rows = connection.execute(text(query)).mappings().fetchall() self.results = [dict(row) for row in rows] - self.comment = ( - "Number of rows for each combination of the columns" - f" { {nc.column.name for nc in nullable_columns} }" - f" of the table {table_name} being null" - ) + self.comments = [ + overall_comment, + "These results list the number of rows in the source sample that have each" + ' combination of these columns being NULL. Each result has an "index", which' + ' refers to the combination of NULLs and a "count", which refers to the' + " number of rows in the source sample with this combination." + ' The "index" is 0 if all the columns are NULL, otherwise it is the' + " sum of the following values for those columns that are not NULL:", + ] + [f"{nc.column.name}: {nc.bitmask}" for nc in nullable_columns] class NullPartitionedNormalGenerator(Generator): @@ -214,7 +274,7 @@ def custom_queries(self) -> dict[str, Any]: """Get the queries the generators need to call.""" partitions = { f"auto__cov__{self._query_name}__alt_{index}": { - "comment": partition.comment(), + "comments": partition.comments(), "query": partition.query, } for index, partition in self._partitions.items() @@ -223,7 +283,7 @@ def custom_queries(self) -> dict[str, Any]: return partitions return { self._count_query_name(): { - "comment": self._partition_count_query.comment, + "comments": self._partition_count_query.comments, "query": self._partition_count_query.query, }, **partitions, @@ -359,6 +419,18 @@ def query_var(self, column: str) -> str: """Return the expression we are querying for in this column.""" return column + def query_comment(self) -> str: + """ + Return the human-readable comment for this generator. + + Should have a ``{columns}`` reference to the list of columns, + which will be a string like ``apples, pears and bananas``. + """ + return ( + "This query contributes to the multivariate normal generator" + " that covers the columns {columns}." + ) + def get_nullable_columns(self, columns: list[Column]) -> list[NullableColumn]: """Get a list of nullable columns together with bitmasks.""" out: list[NullableColumn] = [] @@ -406,7 +478,6 @@ def _get_generator( where = "" if 1 < cov_query.suppress_count: where = f' WHERE {cov_query.suppress_count} < "count"' - query = self.get_partition_count_query(nullable_columns, cov_query.table, where) partitions: dict[int, RowPartition] = {} for partition_nonnulls in powerset(nullable_columns): partition_def = NullPatternPartition(columns, partition_nonnulls) @@ -420,15 +491,17 @@ def _get_generator( partition_def.constant_clauses, ) partitions[partition_def.index] = RowPartition( - cov_query.get(), - partition_def.included_numeric, - partition_def.included_choice, - partition_def.excluded, - partition_def.nones, - [], + query=cov_query.get(), + query_comment=cov_query.get_query_comment(), + included_numeric=partition_def.included_numeric, + included_choice=partition_def.included_choice, + excluded_columns=partition_def.excluded, + constant_outputs=partition_def.nones, + covariates=[], ) if not self._execute_partition_queries(connection, partitions): return None + query = self.get_partition_count_query(nullable_columns, cov_query.table, where) return NullPartitionedNormalGenerator( f"{cov_query.table}__{columns[0].name}", partitions, @@ -437,8 +510,10 @@ def _get_generator( partition_count_query=PartitionCountQuery( connection, query, - cov_query.table, nullable_columns, + cov_query.get_query_comment().format( + columns=text_list(c.name for c in columns) + ), ), ) @@ -513,7 +588,8 @@ def _execute_partition_queries( """ found_nonzero = False for rp in partitions.values(): - covs = connection.execute(text(rp.query)).mappings().fetchall() + query = rp.query + covs = connection.execute(text(query)).mappings().fetchall() if not covs or covs.count == 0 or covs[0]["count"] is None: rp.covariates = self.EMPTY_RESULT else: @@ -544,3 +620,10 @@ def query_predicate(self, column: Column) -> str: def query_var(self, column: str) -> str: """Get the variable or expression we are querying for this column.""" return f"LN({column})" + + def query_comment(self) -> str: + """Return the human-readable comment for this generator.""" + return ( + "This query contributes to the multivariate lognormal generator" + " that covers the columns {columns}." + ) diff --git a/datafaker/interactive/generators.py b/datafaker/interactive/generators.py index 24ccb52..6bfd29a 100644 --- a/datafaker/interactive/generators.py +++ b/datafaker/interactive/generators.py @@ -283,9 +283,7 @@ def _copy_entries(self) -> None: { "name": cq_key, "query": cq["query"], - "comments": [cq["comment"]] - if "comment" in cq and cq["comment"] - else [], + "comments": cq.get("comments", []), } ) rg: dict[str, Any] = { diff --git a/datafaker/interactive/missingness.py b/datafaker/interactive/missingness.py index bd845c1..d1ce01f 100644 --- a/datafaker/interactive/missingness.py +++ b/datafaker/interactive/missingness.py @@ -21,7 +21,7 @@ class MissingnessType: ) name: str query: str - comment: str + comments: list[str] columns: list[str] @classmethod @@ -73,8 +73,8 @@ class MissingnessCmd(DbCmd): def find_missingness_query( self, missingness_generator: Mapping - ) -> tuple[str, str] | None: - """Find query and comment from src-stats for the passed missingness generator.""" + ) -> tuple[str, list[str]] | None: + """Find query and comments from src-stats for the passed missingness generator.""" kwargs = missingness_generator.get("kwargs", {}) patterns = kwargs.get("patterns", "") pattern_match = self.PATTERN_RE.match(patterns) @@ -85,7 +85,7 @@ def find_missingness_query( query = src_stat.get("query", None) if not isinstance(query, str): return None - return (query, src_stat.get("comment", "")) + return (query, src_stat.get("comments", [])) return None def make_table_entry( @@ -113,20 +113,20 @@ def make_table_entry( old = MissingnessType( name="none", query="", - comment="", + comments=[], columns=[], ) elif len(mgs) == 1: mg = mgs[0] mg_name = mg.get("name", None) if isinstance(mg_name, str): - query_comment = self.find_missingness_query(mg) - if query_comment is not None: - (query, comment) = query_comment + query_comments = self.find_missingness_query(mg) + if query_comments is not None: + (query, comments) = query_comments old = MissingnessType( name=mg_name, query=query, - comment=comment, + comments=comments, columns=mg.get("columns_assigned", []), ) if old is None: @@ -209,9 +209,7 @@ def _copy_entries(self) -> None: { "name": src_stat_key, "query": entry.new_type.query, - "comments": [] - if entry.new_type.comment is None - else [entry.new_type.comment], + "comments": entry.new_type.comments, } ) self.set_table_config(entry.name, table) @@ -291,7 +289,7 @@ def do_previous(self, _arg: str) -> None: if not self._set_table_index(self.table_index - 1): self.print(self.ERROR_ALREADY_AT_START) - def _set_type(self, name: str, query: str, comment: str) -> None: + def _set_type(self, name: str, query: str, comments: list[str]) -> None: """Set the current table entry's query.""" if len(self.table_entries) <= self.table_index: return @@ -299,7 +297,7 @@ def _set_type(self, name: str, query: str, comment: str) -> None: entry.new_type = MissingnessType( name=name, query=query, - comment=comment, + comments=comments, columns=self.get_nonnull_columns(entry.name), ) @@ -341,10 +339,10 @@ def do_sampled(self, arg: str) -> None: count, self.get_nonnull_columns(entry.name), ), - ( + [ "The missingness patterns and how often they appear in a" f" sample of {count} from table {entry.name}" - ), + ], ) self.print("Table {} set to sampled missingness", self.table_name()) self.next_table() From a0d4b16f9bf6b25522ff662b4d7b8b661c58dc7a Mon Sep 17 00:00:00 2001 From: Tim Band Date: Mon, 8 Dec 2025 18:45:51 +0000 Subject: [PATCH 07/15] Named column fetched from config.yaml --- datafaker/generators/__init__.py | 42 ++++++++--------- datafaker/generators/base.py | 2 +- datafaker/generators/continuous.py | 24 +++++++--- datafaker/generators/partitioned.py | 25 ++++++++++- datafaker/interactive/generators.py | 4 +- datafaker/json_schemas/config_schema.json | 4 ++ datafaker/make.py | 2 +- datafaker/utils.py | 9 +++- ...test_interactive_generators_partitioned.py | 45 +++++++++++++++++++ 9 files changed, 124 insertions(+), 33 deletions(-) diff --git a/datafaker/generators/__init__.py b/datafaker/generators/__init__.py index 650c8ba..42c9604 100644 --- a/datafaker/generators/__init__.py +++ b/datafaker/generators/__init__.py @@ -1,5 +1,6 @@ """Generators write generator function definitions and queries into config.yaml.""" +from collections.abc import Mapping from functools import lru_cache from datafaker.generators.base import ( @@ -28,26 +29,25 @@ ) -# Using a cache instead of just initializing an object to avoid -# startup time being spent when it isn't needed. -@lru_cache(1) -def everything_factory() -> GeneratorFactory: - """Get a factory that encapsulates all the other factories.""" +def everything_factory(config: Mapping) -> GeneratorFactory: + """ + Get a factory that encapsulates all the other factories. + + :param config: The ``config.yaml`` configuration. + """ return MultiGeneratorFactory( - [ - MimesisStringGeneratorFactory(), - MimesisIntegerGeneratorFactory(), - MimesisFloatGeneratorFactory(), - MimesisDateGeneratorFactory(), - MimesisDateTimeGeneratorFactory(), - MimesisTimeGeneratorFactory(), - ContinuousDistributionGeneratorFactory(), - ContinuousLogDistributionGeneratorFactory(), - ChoiceGeneratorFactory(), - ConstantGeneratorFactory(), - MultivariateNormalGeneratorFactory(), - MultivariateLogNormalGeneratorFactory(), - NullPartitionedNormalGeneratorFactory(), - NullPartitionedLogNormalGeneratorFactory(), - ] + MimesisStringGeneratorFactory(), + MimesisIntegerGeneratorFactory(), + MimesisFloatGeneratorFactory(), + MimesisDateGeneratorFactory(), + MimesisDateTimeGeneratorFactory(), + MimesisTimeGeneratorFactory(), + ContinuousDistributionGeneratorFactory(), + ContinuousLogDistributionGeneratorFactory(), + ChoiceGeneratorFactory(), + ConstantGeneratorFactory(), + MultivariateNormalGeneratorFactory(), + MultivariateLogNormalGeneratorFactory(), + NullPartitionedNormalGeneratorFactory(config), + NullPartitionedLogNormalGeneratorFactory(config), ) diff --git a/datafaker/generators/base.py b/datafaker/generators/base.py index 16324d5..6243726 100644 --- a/datafaker/generators/base.py +++ b/datafaker/generators/base.py @@ -352,7 +352,7 @@ def fit_from_values(self, values: list[float]) -> float: class MultiGeneratorFactory(GeneratorFactory): """A composite factory.""" - def __init__(self, factories: list[GeneratorFactory]): + def __init__(self, *factories: GeneratorFactory): """Initialise a MultiGeneratorFactory.""" super().__init__() self.factories = factories diff --git a/datafaker/generators/continuous.py b/datafaker/generators/continuous.py index 48e32be..3d9b9c8 100644 --- a/datafaker/generators/continuous.py +++ b/datafaker/generators/continuous.py @@ -2,7 +2,7 @@ import itertools from abc import abstractmethod -from collections.abc import Iterable, Sequence +from collections.abc import Iterable, Mapping, Sequence from typing import Any from sqlalchemy import Column, Engine, RowMapping, text @@ -376,6 +376,17 @@ def query_comment(self) -> str: which will be a string like ``apples, pears and bananas``. """ + def get_named_tables(self) -> Mapping[str, str]: + """ + Get a mapping showing which tables have naming columns. + + A naming column is a column that provides a nice name for the row. + We could call tables containing such a column as a "named table". + :return: A map mapping names of named tables to the names of their + naming columns. + """ + return {} + # pylint: disable=too-many-instance-attributes class CovariateQuery: @@ -474,17 +485,19 @@ def constant_clauses(self, clauses: dict[int, Column]) -> Self: self._constant_clauses = clauses return self - def _get_constants_and_joins(self) -> tuple[str, str]: + def _get_constants_and_joins( + self, named_tables: Mapping[str, str] + ) -> tuple[str, str]: """ Extra JOINs to give names to foreign keys. This enables information governance people can understand the results better. + :param named_tables: A mapping of tables that have names to columns + that supply those names. :return: A pair of strings; one is constants in the SELECT clause, the second is JOIN clauses to join tables to the outer query in order to make names appear in the output. """ - # TODO get this from config.yaml - named_tables = {"concept": "concept_name"} col_to_named_fks = { col.name: [ fk.column @@ -534,7 +547,8 @@ def get(self) -> str: f" WHERE {self.suppress_count} < _q.count" if self._columns else "" ) rank = len(self._columns) - name_joins, constants = self._get_constants_and_joins() + named_tables = self._factory.get_named_tables() + name_joins, constants = self._get_constants_and_joins(named_tables) return ( f"SELECT {rank} AS rank{constants}, _q.count AS count{means}{covs}" f" FROM ({self._middle_query(subquery)})" diff --git a/datafaker/generators/partitioned.py b/datafaker/generators/partitioned.py index 37f2c8a..493c264 100644 --- a/datafaker/generators/partitioned.py +++ b/datafaker/generators/partitioned.py @@ -1,8 +1,9 @@ """Powerful generators for numbers, choices and related missingness.""" +from collections.abc import Iterable, Mapping, Sequence from dataclasses import dataclass from itertools import chain, combinations -from typing import Any, Iterable, Sequence, Union +from typing import Any, Union import sqlalchemy from sqlalchemy import Column, Connection, Engine, RowMapping, text @@ -13,7 +14,7 @@ CovariateQuery, MultivariateNormalGeneratorFactory, ) -from datafaker.utils import T, logger +from datafaker.utils import T, get_property, logger NumericType = Union[int, float] @@ -431,6 +432,26 @@ def query_comment(self) -> str: " that covers the columns {columns}." ) + def get_named_tables(self) -> Mapping[str, str]: + """ + Get a mapping showing which tables have naming columns. + + Based on the configuration file. + + :return: A map mapping names of named tables to the names of their + naming columns. + """ + return self._named_tables + + def __init__(self, config: Mapping[str, Any]) -> None: + """Initialize the null partitioned generator factory.""" + tables = get_property(config, "tables", dict, {}) + self._named_tables = { + table_name: table_conf["name_column"] + for table_name, table_conf in tables.items() + if isinstance(table_conf, Mapping) and "name_column" in table_conf + } + def get_nullable_columns(self, columns: list[Column]) -> list[NullableColumn]: """Get a list of nullable columns together with bitmasks.""" out: list[NullableColumn] = [] diff --git a/datafaker/interactive/generators.py b/datafaker/interactive/generators.py index 6bfd29a..0e87699 100644 --- a/datafaker/interactive/generators.py +++ b/datafaker/interactive/generators.py @@ -567,7 +567,9 @@ def _get_generator_proposals(self) -> list[Generator]: self.generators = None if self.generators is None: columns = self._column_metadata() - gens = everything_factory().get_generators(columns, self.sync_engine) + gens = everything_factory(self.config).get_generators( + columns, self.sync_engine + ) sorted_gens = sorted(gens, key=lambda g: g.fit(9999)) self.generators = sorted_gens self.generators_valid_columns = ( diff --git a/datafaker/json_schemas/config_schema.json b/datafaker/json_schemas/config_schema.json index 8cb08b8..a6695a4 100644 --- a/datafaker/json_schemas/config_schema.json +++ b/datafaker/json_schemas/config_schema.json @@ -242,6 +242,10 @@ } } } + }, + "name_column": { + "description": "Column that provides a name for each row in the table. Used to make foreign keys to this table more readable in the src-stats.yaml file.", + "type": "string" } } } diff --git a/datafaker/make.py b/datafaker/make.py index 1a16ec5..c89a02b 100644 --- a/datafaker/make.py +++ b/datafaker/make.py @@ -509,7 +509,7 @@ def _get_generator_for_table( class_name=table.name.title() + "Generator", nonnull_columns=nonnull_columns, column_choices=column_choices, - rows_per_pass=get_property(table_config, "num_rows_per_pass", 1), + rows_per_pass=get_property(table_config, "num_rows_per_pass", int, 1), unique_constraints=constraints, ) diff --git a/datafaker/utils.py b/datafaker/utils.py index 7ef91bf..8bd21a7 100644 --- a/datafaker/utils.py +++ b/datafaker/utils.py @@ -17,6 +17,7 @@ Generic, Iterable, Optional, + Type, TypeVar, Union, ) @@ -337,17 +338,21 @@ def get_flag(maybe_dict: Any, key: Any) -> bool: return isinstance(maybe_dict, Mapping) and maybe_dict.get(key, False) -def get_property(maybe_dict: Any, key: Any, default: T) -> T: +def get_property(maybe_dict: Any, key: Any, required_type: Type[T], default: T) -> T: """ Get a specific property from a dict or a default if that does not exist. :param maybe_dict: A mapping, or possibly not. :param key: A key in ``maybe_dict``, or possibly not. + :param required_type: The type ``maybe_dict[key]`` needs to be an instance of. :param default: The return value if ``maybe_dict`` is not a mapping, or if ``key`` is not a key of ``maybe_dict``. :return: ``maybe_dict[key]`` if this makes sense, or ``default`` if not. """ - return maybe_dict.get(key, default) if isinstance(maybe_dict, Mapping) else default + if not isinstance(maybe_dict, Mapping): + return default + v = maybe_dict.get(key, default) + return v if isinstance(v, required_type) else default def fk_refers_to_ignored_table(fk: ForeignKey) -> bool: diff --git a/tests/test_interactive_generators_partitioned.py b/tests/test_interactive_generators_partitioned.py index 0a8e231..b1357d8 100644 --- a/tests/test_interactive_generators_partitioned.py +++ b/tests/test_interactive_generators_partitioned.py @@ -450,3 +450,48 @@ def test_create_with_null_partitioned_grouped_sampled_tiny(self) -> None: foods = {row.third_value for row in rows} self.assert_subset(foods, {"ham", "eggs", "cheese"}) self.assertLess(len(foods), 3) + + def test_named_foreign_keys(self) -> None: + """Test foreign keys gain names in source stats.""" + with self._get_cmd( + { + "tables": { + "measurement_type": { + "name_column": "name", + }, + }, + } + ) as gc: + self.merge_columns( + gc, + "measurement", + [ + "type", + "first_value", + "second_value", + "third_value", + ], + ) + proposals = self._propose(gc) + dist_to_choose = "null-partitioned grouped_multivariate_normal" + self.assertIn(dist_to_choose, proposals) + prop = proposals[dist_to_choose] + gc.do_compare(str(prop[0])) + gc.do_set(str(prop[0])) + gc.do_quit("") + self.set_configuration(gc.config) + src_stats = self.get_src_stats(gc.config) + with self.sync_engine.connect() as conn: + stmt = select(self.metadata.tables["measurement_type"]) + rows = conn.execute(stmt).fetchall() + mt = {row.id: row.name for row in rows} + results = [ + result for ss in src_stats.values() for result in ss["results"] + ] + ids = set() + for result in results: + if "k0" in result: + k0 = result["k0"] + ids.add(k0) + self.assertEqual(result["k0_type__name"], mt[k0]) + self.assertSetEqual(ids, set(mt.keys())) From dd1e852537541c90d58a99f6222eaaf2e8933dcc Mon Sep 17 00:00:00 2001 From: Tim Band Date: Tue, 9 Dec 2025 13:10:18 +0000 Subject: [PATCH 08/15] configure-tables allows the setting of naming columns --- datafaker/interactive/base.py | 11 +- datafaker/interactive/table.py | 216 +++++++++++++++++++------ docs/source/_static/config_schema.html | 48 ++++++ tests/test_interactive_table.py | 52 ++++++ 4 files changed, 279 insertions(+), 48 deletions(-) diff --git a/datafaker/interactive/base.py b/datafaker/interactive/base.py index 8793cac..61ccf3f 100644 --- a/datafaker/interactive/base.py +++ b/datafaker/interactive/base.py @@ -94,6 +94,7 @@ def fk_column_name(fk: ForeignKey) -> str: return str(fk.target_fullname) +# pylint: disable=too-many-public-methods class DbCmd(ABC, cmd.Cmd): """Base class for interactive configuration commands.""" @@ -406,12 +407,16 @@ def do_peek(self, arg: str) -> None: return self.print_table(list(result.keys()), result.fetchmany(max_peek_rows)) + def get_column_completions(self, text: str) -> list[str]: + """Get completions for text to column names in the current table.""" + return [ + col for col in self.table_metadata().columns.keys() if col.startswith(text) + ] + def complete_peek( self, text: str, _line: str, _begidx: int, _endidx: int ) -> list[str]: """Completions for the ``peek`` command.""" if len(self._table_entries) <= self.table_index: return [] - return [ - col for col in self.table_metadata().columns.keys() if col.startswith(text) - ] + return self.get_column_completions(text) diff --git a/datafaker/interactive/table.py b/datafaker/interactive/table.py index beb6bc5..407f98e 100644 --- a/datafaker/interactive/table.py +++ b/datafaker/interactive/table.py @@ -20,9 +20,12 @@ class TableCmdTableEntry(TableEntry): """Table entry for the table command shell.""" old_type: TableType + old_name_column: str | None new_type: TableType + new_name_column: str | None +# pylint: disable=too-many-public-methods class TableCmd(DbCmd): """Command shell allowing the user to set the type of each table.""" @@ -42,7 +45,9 @@ class TableCmd(DbCmd): "Vocabulary table {0} references non-vocabulary table {1}" ) WARNING_TEXT_NON_EMPTY_TO_EMPTY = ( - "Empty table {1} referenced from non-empty table {0}. {1} will need stories." + "Empty table {1} referenced from non-empty table {0}. Foreign keys" + " from {0} to {1} cannot be chosen by the default generator unless" + " {1} has stories." ) WARNING_TEXT_PROBLEMS_EXIST = "WARNING: The following table types have problems:" WARNING_TEXT_POTENTIAL_PROBLEMS = ( @@ -50,6 +55,7 @@ class TableCmd(DbCmd): ) NOTE_TEXT_NO_CHANGES = "You have made no changes." NOTE_TEXT_CHANGING = "Changing {0} from {1} to {2}" + NOTE_TEXT_TABLE_WITH_NAME = "{0} (name column: {1})" def make_table_entry( self, table_name: str, table_config: Mapping @@ -61,17 +67,28 @@ def make_table_entry( :param table: The part of ``config.yaml`` corresponding to this table. :return: The newly-constructed table entry. """ + nc = table_config.get("name_column", None) + if not isinstance(nc, str): + nc = None if table_config.get("ignore", False): - return TableCmdTableEntry(table_name, TableType.IGNORE, TableType.IGNORE) + return TableCmdTableEntry( + table_name, TableType.IGNORE, nc, TableType.IGNORE, nc + ) if table_config.get("vocabulary_table", False): return TableCmdTableEntry( - table_name, TableType.VOCABULARY, TableType.VOCABULARY + table_name, TableType.VOCABULARY, nc, TableType.VOCABULARY, nc ) if table_config.get("primary_private", False): - return TableCmdTableEntry(table_name, TableType.PRIVATE, TableType.PRIVATE) + return TableCmdTableEntry( + table_name, TableType.PRIVATE, nc, TableType.PRIVATE, nc + ) if table_config.get("num_rows_per_pass", 1) == 0: - return TableCmdTableEntry(table_name, TableType.EMPTY, TableType.EMPTY) - return TableCmdTableEntry(table_name, TableType.GENERATE, TableType.GENERATE) + return TableCmdTableEntry( + table_name, TableType.EMPTY, nc, TableType.EMPTY, nc + ) + return TableCmdTableEntry( + table_name, TableType.GENERATE, nc, TableType.GENERATE, nc + ) def __init__( self, @@ -106,16 +123,13 @@ def set_prompt(self) -> None: else: self.prompt = "(table) " - def set_type(self, t_type: TableType) -> None: - """Set the type of the current table.""" - if self.table_index < len(self.table_entries): - entry = self.table_entries[self.table_index] - entry.new_type = t_type - def _copy_entries(self) -> None: """Alter the configuration to match the new table entries.""" for entry in self.table_entries: - if entry.old_type != entry.new_type: + if ( + entry.old_type != entry.new_type + or entry.old_name_column != entry.new_name_column + ): table = self.get_table_config(entry.name) if ( entry.old_type == TableType.EMPTY @@ -143,6 +157,10 @@ def _copy_entries(self) -> None: table.pop("ignore", None) table.pop("vocabulary_table", None) table.pop("primary_private", None) + if entry.new_name_column: + table["name_column"] = entry.new_name_column + else: + table.pop("name_column", None) self.set_table_config(entry.name, table) def _get_referenced_tables(self, from_table_name: str) -> set[str]: @@ -196,18 +214,37 @@ def _sanity_check_warnings(self) -> list[tuple[str, str, str]]: ) return warnings + def _print_change_note(self, entry: TableCmdTableEntry) -> int: + """ + Print a note if the table entry has changed. + + :return: The number of notes written + """ + if ( + entry.old_type == entry.new_type + and entry.old_name_column == entry.new_name_column + ): + return 0 + if entry.old_name_column: + old = self.NOTE_TEXT_TABLE_WITH_NAME.format( + entry.old_type.value, entry.old_name_column + ) + else: + old = entry.old_type.value + if entry.new_name_column: + new = self.NOTE_TEXT_TABLE_WITH_NAME.format( + entry.new_type.value, entry.new_name_column + ) + else: + new = entry.new_type.value + self.print(self.NOTE_TEXT_CHANGING, entry.name, old, new) + return 1 + def do_quit(self, _arg: str) -> bool: """Check the updates, save them if desired and quit the configurer.""" count = 0 for entry in self.table_entries: - if entry.old_type != entry.new_type: - count += 1 - self.print( - self.NOTE_TEXT_CHANGING, - entry.name, - entry.old_type.value, - entry.new_type.value, - ) + count += self._print_change_note(entry) if count == 0: self.print(self.NOTE_TEXT_NO_CHANGES) failures = self._sanity_check_failures() @@ -261,35 +298,124 @@ def do_previous(self, _arg: str) -> None: if not self._set_table_index(self.table_index - 1): self.print(self.ERROR_ALREADY_AT_START) - def do_ignore(self, _arg: str) -> None: - """Set the current table as ignored, and go to the next table.""" - self.set_type(TableType.IGNORE) - self.print("Table {} set as ignored", self.table_name()) - self.next_table() + def set_table_type(self, arg: str, new_type: TableType, type_name: str) -> None: + """ + Set the current table type from a command argument list. - def do_vocabulary(self, _arg: str) -> None: - """Set the current table as a vocabulary table, and go to the next table.""" - self.set_type(TableType.VOCABULARY) - self.print("Table {} set to be a vocabulary table", self.table_name()) + :param arg: The arg passed to the ``do_`` function. + :param new_type: The type to set. + :param type_name: The human-readable name of the type being set. + """ + if len(self.table_entries) <= self.table_index: + return + entry = self.table_entries[self.table_index] + args = arg.split() + new_name_column: str | None = None + if len(args) == 2 and args[0] == "name": + new_name_column = args[1] + args = [] + if args: + self.print( + f"""Did not understand these arguments. +Correct formats are: +{new_type.value} -- just set the type to {type_name} +{new_type.value} name ColumnName -- set the type and the naming column of the table""" + ) + entry.new_type = new_type + entry.new_name_column = new_name_column + self.print("Table {} set as {}", self.table_name(), type_name) self.next_table() - def do_private(self, _arg: str) -> None: - """Set the current table as a primary private table (such as the table of patients).""" - self.set_type(TableType.PRIVATE) - self.print("Table {} set to be a primary private table", self.table_name()) - self.next_table() + def do_ignore(self, arg: str) -> None: + """ + Set the current table as ignored, and go to the next table. - def do_generate(self, _arg: str) -> None: - """Set the current table as to be generated, and go to the next table.""" - self.set_type(TableType.GENERATE) - self.print("Table {} generate", self.table_name()) - self.next_table() + "ignore name " sets the table to ignored but also sets + the column to be the column from which we can get + human-readable names for the rows. + """ + self.set_table_type(arg, TableType.IGNORE, "ignored") - def do_empty(self, _arg: str) -> None: - """Set the current table as empty; no generators will be run for it.""" - self.set_type(TableType.EMPTY) - self.print("Table {} empty", self.table_name()) - self.next_table() + def get_table_type_completions( + self, text: str, line: str, begidx: int + ) -> list[str]: + """Get the completions for ignore/vocabulary/generate etcetera.""" + previous_parts = line[: begidx - 1].split() + if len(previous_parts) == 1: + return [x for x in ["name"] if x.startswith(text)] + if len(previous_parts) == 2 and previous_parts[1] == "name": + return self.get_column_completions(text) + return [] + + def complete_ignore( + self, text: str, line: str, begidx: int, _endidx: int + ) -> list[str]: + """Get the completions for ignore.""" + return self.get_table_type_completions(text, line, begidx) + + def do_vocabulary(self, arg: str) -> None: + """ + Set the current table as a vocabulary table, and go to the next table. + + "vocabulary name " sets the table to vocabulary but also + sets the column to be the column from which we can get + human-readable names for the rows. + """ + self.set_table_type(arg, TableType.VOCABULARY, "vocabulary") + + def complete_vocabulary( + self, text: str, line: str, begidx: int, _endidx: int + ) -> list[str]: + """Get the completions for vocabulary.""" + return self.get_table_type_completions(text, line, begidx) + + def do_private(self, arg: str) -> None: + """ + Set the current table as a primary private table (such as the table of patients). + + "vocabulary name " sets the table to vocabulary but also + sets the column to be the column from which we can get + human-readable names for the rows. + """ + self.set_table_type(arg, TableType.PRIVATE, "primary private") + + def complete_private( + self, text: str, line: str, begidx: int, _endidx: int + ) -> list[str]: + """Get the completions for private.""" + return self.get_table_type_completions(text, line, begidx) + + def do_generate(self, arg: str) -> None: + """ + Set the current table as to be generated, and go to the next table. + + "vocabulary name " sets the table to vocabulary but also + sets the column to be the column from which we can get + human-readable names for the rows. + """ + self.set_table_type(arg, TableType.GENERATE, "generate") + + def complete_generate( + self, text: str, line: str, begidx: int, _endidx: int + ) -> list[str]: + """Get the completions for generate.""" + return self.get_table_type_completions(text, line, begidx) + + def do_empty(self, arg: str) -> None: + """ + Set the current table as empty; no generators will be run for it. + + "empty name " sets the table to empty but also sets + the column to be the column from which we can get + human-readable names for the rows. + """ + self.set_table_type(arg, TableType.EMPTY, "empty") + + def complete_empty( + self, text: str, line: str, begidx: int, _endidx: int + ) -> list[str]: + """Get the completions for empty.""" + return self.get_table_type_completions(text, line, begidx) def do_columns(self, _arg: str) -> None: """Report the column names and metadata.""" diff --git a/docs/source/_static/config_schema.html b/docs/source/_static/config_schema.html index e78949f..2e48585 100644 --- a/docs/source/_static/config_schema.html +++ b/docs/source/_static/config_schema.html @@ -2740,6 +2740,54 @@

+ + + + +
+
+
+

+ +

+
+ +
+
+ +
root + + + + tables + + + + .* + + + + name_column
Type: string
+

Column that provides a name for each row in the table. Used to make foreign keys to this table more readable in the src-stats.yaml file.

+ + + + + + +
diff --git a/tests/test_interactive_table.py b/tests/test_interactive_table.py index 8bcd904..200e6dc 100644 --- a/tests/test_interactive_table.py +++ b/tests/test_interactive_table.py @@ -170,6 +170,58 @@ def test_configure_tables(self) -> None: self.assertFalse(tables["empty_vocabulary"].get("primary_private", False)) self.assertEqual(tables["empty_vocabulary"].get("num_rows_per_pass", 1), 0) + def test_configure_naming_columns(self) -> None: + """Test that we can change tables' naming columns.""" + config = { + "tables": { + "unique_constraint_test": { + "vocabulary_table": True, + "name_column": None, + }, + "no_pk_test": { + "ignore": True, + "name_column": "not_an_id", + }, + "hospital_visit": { + "num_rows_per_pass": 0, + }, + "empty_vocabulary": { + "num_rows_per_pass": 0, + "name_column": "entry_id", + }, + }, + } + with self._get_cmd(config) as tc: + tc.do_next("unique_constraint_test") + tc.do_generate("name c") + tc.do_next("person") + tc.do_vocabulary("") + tc.do_next("mitigation_type") + tc.do_ignore("") + tc.do_next("hospital_visit") + tc.do_private("") + tc.do_quit("") + # changing name column but not type + tc.do_next("empty_vocabulary") + tc.do_empty("name entry_name") + tc.do_quit("") + tables = tc.config["tables"] + self.assertEqual( + tables["unique_constraint_test"].get("name_column", None), + "c", + ) + self.assertEqual( + tables["no_pk_test"].get("name_column", None), + "not_an_id", + ) + self.assertIsNone(tables["person"].get("name_column", None)) + self.assertIsNone(tables["mitigation_type"].get("name_column", None)) + self.assertIsNone(tables["hospital_visit"].get("name_column", None)) + self.assertEqual( + tables["empty_vocabulary"].get("name_column", None), + "entry_name", + ) + def test_print_data(self) -> None: """Test that we can print random rows from the table and random data from columns.""" person_table = self.metadata.tables["person"] From 1377fc0b3362a707d579fad12fc87479fb92446c Mon Sep 17 00:00:00 2001 From: Tim Band Date: Wed, 10 Dec 2025 18:28:19 +0000 Subject: [PATCH 09/15] Experimental DuckDB output support --- datafaker/create.py | 34 +- poetry.lock | 2140 +++++++++++++++++++++++++------------------ pyproject.toml | 1 + 3 files changed, 1272 insertions(+), 903 deletions(-) diff --git a/datafaker/create.py b/datafaker/create.py index 5cddeb2..b739d0f 100644 --- a/datafaker/create.py +++ b/datafaker/create.py @@ -6,8 +6,9 @@ from sqlalchemy import Connection, insert, inspect from sqlalchemy.exc import IntegrityError +from sqlalchemy.ext.compiler import compiles from sqlalchemy.orm import Session -from sqlalchemy.schema import CreateSchema, MetaData, Table +from sqlalchemy.schema import CreateColumn, CreateSchema, CreateTable, MetaData, Table from datafaker.base import FileUploader, TableGenerator from datafaker.settings import get_settings @@ -24,6 +25,37 @@ RowCounts = Counter[str] +@compiles(CreateColumn, "duckdb") +def remove_serial(element: CreateColumn, compiler: Any, **kw: Any): + """ + Hook compilation for column creation, removing PostgreSQL's ``SERIAL``. + + DuckDB does not understand ``SERIAL``, and we don't care about + autoincrementing in datafaker. Ideally ``duckdb_engine`` would remove + this for us, or DuckDB would implement ``SERIAL`` + :param element: The CreateColumn being executed. + :param compiler: Actually a DDLCompiler, but that type is not exported. + :param kw: Further arguments. + """ + text = compiler.visit_create_column(element, **kw) + return text.replace(" SERIAL ", " INTEGER ") + + +@compiles(CreateTable, "duckdb") +def remove_on_delete_cascade(element: CreateTable, compiler: Any, **kw: Any): + """ + Hook compilation for column creation, removing ``ON DELETE CASCADE``. + + DuckDB does not understand cascades, and we don't care about + that in datafaker. Ideally ``duckdb_engine`` would remove this for us. + :param element: The CreateTable being executed. + :param compiler: Actually a DDLCompiler, but that type is not exported. + :param kw: Further arguments. + """ + text = compiler.visit_create_table(element, **kw) + return text.replace(" ON DELETE CASCADE", "") + + def create_db_tables(metadata: MetaData) -> None: """Create tables described by the sqlalchemy metadata object.""" settings = get_settings() diff --git a/poetry.lock b/poetry.lock index d42dabf..42ef1dc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -34,13 +34,13 @@ files = [ [[package]] name = "astroid" -version = "3.3.10" +version = "3.3.11" description = "An abstract syntax tree for Python with inference support." optional = false python-versions = ">=3.9.0" files = [ - {file = "astroid-3.3.10-py3-none-any.whl", hash = "sha256:104fb9cb9b27ea95e847a94c003be03a9e039334a8ebca5ee27dafaf5c5711eb"}, - {file = "astroid-3.3.10.tar.gz", hash = "sha256:c332157953060c6deb9caa57303ae0d20b0fbdb2e59b4a4f2a6ba49d0a7961ce"}, + {file = "astroid-3.3.11-py3-none-any.whl", hash = "sha256:54c760ae8322ece1abd213057c4b5bba7c49818853fc901ef09719a60dbf9dec"}, + {file = "astroid-3.3.11.tar.gz", hash = "sha256:1e5a5011af2920c7c67a53f65d536d65bfa7116feeaf2354d8b94f29573bb0ce"}, ] [package.dependencies] @@ -125,23 +125,15 @@ test = ["distro (>=1.9.0,<1.10.0)", "flake8 (>=6.1,<7.0)", "flake8-pyi (>=24.1.0 [[package]] name = "attrs" -version = "25.3.0" +version = "25.4.0" description = "Classes Without Boilerplate" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"}, - {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"}, + {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, + {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, ] -[package.extras] -benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"] -tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] - [[package]] name = "babel" version = "2.17.0" @@ -204,125 +196,146 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "certifi" -version = "2025.4.26" +version = "2025.11.12" description = "Python package for providing Mozilla's CA Bundle." optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"}, - {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"}, + {file = "certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b"}, + {file = "certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316"}, ] [[package]] name = "cfgv" -version = "3.4.0" +version = "3.5.0" description = "Validate configuration and produce human readable error messages." optional = false -python-versions = ">=3.8" +python-versions = ">=3.10" files = [ - {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, - {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, + {file = "cfgv-3.5.0-py2.py3-none-any.whl", hash = "sha256:a8dc6b26ad22ff227d2634a65cb388215ce6cc96bbcc5cfde7641ae87e8dacc0"}, + {file = "cfgv-3.5.0.tar.gz", hash = "sha256:d5b1034354820651caa73ede66a6294d6e95c1b00acc5e9b098e917404669132"}, ] [[package]] name = "charset-normalizer" -version = "3.4.2" +version = "3.4.4" description = "The Real First Universal Charset Detector. 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python-versions = ">=3.10,<3.14" -content-hash = "2f216e837c818ce64bdc0001ad9ee094360ef3c0ff29aeaf112510097113e65e" +content-hash = "286e65845544c571c37b22bc9645562b03ab3e8de82c4e3f29a0844e2c1731fc" diff --git a/pyproject.toml b/pyproject.toml index 17ca5d8..ce6f4b3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,6 +35,7 @@ pymysql = "^1.1.0" pandas = "^2" parsy = "^2.1" prettytable = "^3.15.1" +duckdb-engine = "^0.17.0" [tool.poetry.group.dev.dependencies] isort = "^5.10.1" From fae9305cc48d145ca7d59ec1b929fabde476eaa7 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Fri, 12 Dec 2025 18:25:47 +0000 Subject: [PATCH 10/15] Parquet output for dump-data --- datafaker/dump.py | 179 ++++++++++++++++++++---- datafaker/main.py | 81 +++++++++-- datafaker/utils.py | 9 ++ poetry.lock | 329 +++++++++++++++++++++++++++++++++------------ pyproject.toml | 1 + 5 files changed, 476 insertions(+), 123 deletions(-) diff --git a/datafaker/dump.py b/datafaker/dump.py index 2307ba4..fe06ec3 100644 --- a/datafaker/dump.py +++ b/datafaker/dump.py @@ -1,38 +1,159 @@ """Data dumping functions.""" +from abc import ABC, abstractmethod import csv import io -from typing import TYPE_CHECKING +import pandas as pd import sqlalchemy from sqlalchemy.schema import MetaData from datafaker.utils import create_db_engine, get_sync_engine, logger -if TYPE_CHECKING: - from _csv import Writer - - -def _make_csv_writer(file: io.TextIOBase) -> "Writer": - """Make the standard CSV file writer.""" - return csv.writer(file, quoting=csv.QUOTE_MINIMAL) - - -def dump_db_tables( - metadata: MetaData, - dsn: str, - schema: str | None, - table_name: str, - file: io.TextIOBase, -) -> None: - """Output the table as CSV.""" - if table_name not in metadata.tables: - logger.error("%s is not a table described in the ORM file", table_name) - return - table = metadata.tables[table_name] - csv_out = _make_csv_writer(file) - csv_out.writerow(table.columns.keys()) - engine = get_sync_engine(create_db_engine(dsn, schema_name=schema)) - with engine.connect() as connection: - result = connection.execute(sqlalchemy.select(table)) - for row in result: - csv_out.writerow(row) + +class TableWriter(ABC): + """ + Writes a table out to a file. + """ + + EXTENSION = ".csv" + + def __init__(self, metadata: MetaData, dsn: str, schema: str | None) -> None: + """ + Initialize the TableWriter + + :param metadata: The metadata for our database. + :param dsn: The connection string for our database. + :param schema: The schema name for our database, or None for the default. + """ + self._metadata = metadata + self._dsn = dsn + self._schema = schema + + def connect(self) -> sqlalchemy.engine.Connection: + """Connect to the database.""" + engine = get_sync_engine( + create_db_engine(self._dsn, schema_name=self._schema) + ) + return engine.connect() + + @abstractmethod + def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + """ + Write the named table into the named file. + + :param table: The table to output + :param filename: The filename of the file to write to. + :return: ``true`` on success, otherwise ``false``. + """ + + def write(self, table: sqlalchemy.Table) -> bool: + return self.write_file(table, f"{table.name}{self.EXTENSION}") + + +class ParquetTableWriter(TableWriter): + """Writes the table to a Parquet file.""" + + EXTENSION = ".parquet" + + def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + """ + Write the named table into the named file. + + :param table: The table to output + :param filename: The filename of the file to write to. + :return: ``true`` on success, otherwise ``false``. + """ + with self.connect() as connection: + dates = [ + str(name) + for name, col in table.columns.items() + if isinstance( + col.type, sqlalchemy.types.DATE + ) or isinstance(col.type, sqlalchemy.types.DATETIME) + ] + df = pd.read_sql( + sql=f"SELECT * FROM {table.name}", + con=connection, + columns=[str(col.name) for col in table.columns.values()], + parse_dates=dates, + ) + df.to_parquet(filename) + return True + + +class DuckDbParquetTableWriter(ParquetTableWriter): + """ + Writes the table to a Parquet file using DuckDB SQL. + + The Pandas method used by ParquetTableWriter currently + does not work with DuckDB. + """ + + def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + """ + Write the named table into the named file. + + :param table: The table to output + :param filename: The filename of the file to write to. + :return: ``true`` on success, otherwise ``false``. + """ + with self.connect() as connection: + result = connection.execute(sqlalchemy.text( + f"COPY {table.name} TO '{filename}' (FORMAT PARQUET)" + )) + return result is not None + + +def get_parquet_table_writer(metadata: MetaData, dsn: str, schema: str | None) -> TableWriter: + if dsn.startswith("duckdb:"): + return DuckDbParquetTableWriter(metadata, dsn, schema) + return ParquetTableWriter(metadata, dsn, schema) + + +class TableWriterIO(TableWriter): + """Writes the table to an output object.""" + + @abstractmethod + def write_io(self, table: sqlalchemy.Table, out: io.TextIOBase) -> bool: + """ + Write the named table into the named file. + + :param table: The table to output + :param filename: The filename of the file to write to. + :return: ``true`` on success, otherwise ``false``. + """ + + def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + """ + Write the named table into the named file. + + :param table: The table to output + :param filename: The filename of the file to write to. + :return: ``true`` on success, otherwise ``false``. + """ + with open(filename, "wt", newline="", encoding="utf-8") as out: + return self.write_io(table, out) + + +class CsvTableWriter(TableWriterIO): + """Writes the table to a CSV file.""" + + def write_io(self, table: sqlalchemy.Table, out: io.TextIOBase) -> bool: + """ + Write the named table into the named file. + + :param table: The table to output + :param filename: The filename of the file to write to. + :return: ``True`` on success, otherwise ``False``. + """ + if table.name not in self._metadata.tables: + logger.error("%s is not a table described in the ORM file", table.name) + return False + table = self._metadata.tables[table.name] + csv_out = csv.writer(out, quoting=csv.QUOTE_MINIMAL) + csv_out.writerow(table.columns.keys()) + with self.connect() as connection: + result = connection.execute(sqlalchemy.select(table)) + for row in result: + csv_out.writerow(row) + return True diff --git a/datafaker/main.py b/datafaker/main.py index 47f0888..eb5b1d9 100644 --- a/datafaker/main.py +++ b/datafaker/main.py @@ -11,11 +11,11 @@ import yaml from jsonschema.exceptions import ValidationError from jsonschema.validators import validate -from sqlalchemy import MetaData +from sqlalchemy import MetaData, Table from typer import Argument, Exit, Option, Typer from datafaker.create import create_db_data, create_db_tables, create_db_vocab -from datafaker.dump import dump_db_tables +from datafaker.dump import CsvTableWriter, ParquetTableWriter, get_parquet_table_writer from datafaker.interactive import ( update_config_generators, update_config_tables, @@ -34,6 +34,8 @@ conf_logger, generators_require_stats, get_flag, + get_ignored_table_names, + get_vocabulary_table_names, import_file, logger, read_config_file, @@ -107,7 +109,7 @@ def load_metadata(orm_file_name: str, config: dict | None = None) -> MetaData: return dict_to_metadata(meta_dict, None) -def load_metadata_for_output(orm_file_name: str, config: dict | None = None) -> Any: +def load_metadata_for_output(orm_file_name: str, config: dict | None = None) -> MetaData: """Load metadata excluding any foreign keys pointing to ignored tables.""" meta_dict = load_metadata_config(orm_file_name, config) return dict_to_metadata(meta_dict, config) @@ -453,28 +455,87 @@ def configure_generators( logger.debug("Generators configured in %s.", config_file) +def convert_table_names_to_tables(table_names: list[str], metadata: MetaData) -> list[Table]: + """ + Convert a list of table names to SQLAlchemy Tables + + :param table_names: List of names of tables + :param metadata: Metadata of the database + :return: List of tables with names matching ``table_names`` + """ + failed_count = 0 + results: list[Table] = [] + for name in table_names: + table = metadata.tables.get(name, None) + if table is not None: + results.append(table) + else: + failed_count += 1 + logger.error("%s is not the name of a table in the destination database") + if failed_count: + sys.exit(1) + return results + + @app.command() def dump_data( config_file: Optional[str] = Option( - CONFIG_FILENAME, help="Path of the configuration file to alter" + CONFIG_FILENAME, help="Path of the configuration file to use" ), orm_file: str = Option(ORM_FILENAME, help="The name of the ORM yaml file"), - table: str = Argument(help="The table to dump"), - output: str | None = Option(None, help="output CSV file name"), + table: list[str] = Option( + default=[], + help="The tables to dump (default is all non-ignored, non-vocabulary tables)" + ), + output: str | None = Option(None, help="output CSV or Parquet file name or - to output to the console (only if exactly one table is given, default is to derive it from the table name)"), + parquet: bool = Option(False, help="Use Parquet format (default use CSV unless --output specifies a .parquet file)") ) -> None: """Dump a whole table as a CSV file (or to the console) from the destination database.""" + if len(table) != 1 and output: + logger.error("Must specify exactly one table if the output name is specified") + sys.exit(1) settings = get_settings() dst_dsn: str = settings.dst_dsn or "" assert dst_dsn != "", "Missing DST_DSN setting." schema_name = settings.dst_schema config = read_config_file(config_file) if config_file is not None else {} metadata = load_metadata_for_output(orm_file, config) - if output is None: + mtables = convert_table_names_to_tables(table, metadata) + writer = CsvTableWriter(metadata, dst_dsn, schema_name) + if output == "-": if isinstance(sys.stdout, io.TextIOBase): - dump_db_tables(metadata, dst_dsn, schema_name, table, sys.stdout) + writer.write_io(mtables[0], sys.stdout) return - with open(output, "wt", newline="", encoding="utf-8") as out: - dump_db_tables(metadata, dst_dsn, schema_name, table, out) + if not mtables: + not_for_output = ( + get_vocabulary_table_names(config) + | get_ignored_table_names(config) + ) + mtables = [ + table + for table in metadata.tables.values() + if table.name not in not_for_output + ] + if output: + if parquet or output.endswith(ParquetTableWriter.EXTENSION): + writer = get_parquet_table_writer(metadata, dst_dsn, schema_name) + if not writer.write_file(mtables[0], output): + logger.error("Could not write table %s to file %s", table, output) + return + if parquet: + writer = get_parquet_table_writer(metadata, dst_dsn, schema_name) + count_written = 0 + failed: list[str] = [] + for mtable in mtables: + if writer.write(mtable): + count_written += 1 + else: + failed.append(mtable.name) + logger.info("%d files successfully written", count_written) + if failed: + logger.warning("%d files failed:", len(failed)) + for f in failed: + logger.warning("Failed to write %s", f) @app.command() diff --git a/datafaker/utils.py b/datafaker/utils.py index 8bd21a7..86785b4 100644 --- a/datafaker/utils.py +++ b/datafaker/utils.py @@ -442,6 +442,15 @@ def get_vocabulary_table_names(config: Mapping) -> set[str]: } +def get_ignored_table_names(config: Mapping) -> set[str]: + """Extract the table names with a ignore: true property.""" + return { + table_name + for (table_name, table_config) in config.get("tables", {}).items() + if get_flag(table_config, "ignore") + } + + def get_columns_assigned( row_generator_config: Mapping[str, Any] ) -> Generator[str, None, None]: diff --git a/poetry.lock b/poetry.lock index 42ef1dc..530234f 100644 --- a/poetry.lock 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9dd40738f38fb5db4875eab7e117e9425260be59 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Wed, 17 Dec 2025 11:47:31 +0000 Subject: [PATCH 11/15] DuckDB with files df.py fixed DuckDB usage documentation Fixed DuckDB parquet output dump-data --output as-directory choice proposal crash fixed --- datafaker/dump.py | 15 ++++-- datafaker/generators/base.py | 4 +- datafaker/generators/mimesis.py | 30 ++++++----- datafaker/main.py | 20 ++++--- datafaker/make.py | 10 ++-- datafaker/serialize_metadata.py | 15 +++--- datafaker/utils.py | 33 +++++++++++- docs/source/duckdb.rst | 96 +++++++++++++++++++++++++++++++++ 8 files changed, 185 insertions(+), 38 deletions(-) create mode 100644 docs/source/duckdb.rst diff --git a/datafaker/dump.py b/datafaker/dump.py index fe06ec3..9429696 100644 --- a/datafaker/dump.py +++ b/datafaker/dump.py @@ -2,6 +2,7 @@ from abc import ABC, abstractmethod import csv import io +from pathlib import Path import pandas as pd import sqlalchemy @@ -42,12 +43,17 @@ def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: Write the named table into the named file. :param table: The table to output - :param filename: The filename of the file to write to. + :param dir: The directory to write into. :return: ``true`` on success, otherwise ``false``. """ - def write(self, table: sqlalchemy.Table) -> bool: - return self.write_file(table, f"{table.name}{self.EXTENSION}") + def write(self, table: sqlalchemy.Table, dir: Path) -> bool: + tn = table.name + # DuckDB tables derived from files have confusing suffixes + # that we should probably remove + tn = tn.removesuffix(".csv") + tn = tn.removesuffix(".parquet") + return self.write_file(table, dir / f"{tn}{self.EXTENSION}") class ParquetTableWriter(TableWriter): @@ -99,7 +105,8 @@ def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: """ with self.connect() as connection: result = connection.execute(sqlalchemy.text( - f"COPY {table.name} TO '{filename}' (FORMAT PARQUET)" + # We need the double quotes to get DuckDB to read the table not the file. + f"COPY \"{table.name}\" TO '{filename}' (FORMAT PARQUET)" )) return result is not None diff --git a/datafaker/generators/base.py b/datafaker/generators/base.py index 6243726..c50811d 100644 --- a/datafaker/generators/base.py +++ b/datafaker/generators/base.py @@ -291,7 +291,7 @@ def __init__( ) self.buckets: Sequence[int] = [0] * 10 for rb in raw_buckets: - if rb.b is not None: + if isinstance(rb.b, Numeric) and rb.b.is_integer(): bucket = min(9, max(0, int(rb.b) + 1)) self.buckets[bucket] += rb.f / count self.mean = mean @@ -406,7 +406,7 @@ class ConstantGeneratorFactory(GeneratorFactory): """Just the null generator.""" def get_generators( - self, columns: list[Column], engine: Engine + self, columns: list[Column], _engine: Engine ) -> Sequence[Generator]: """Get the generators appropriate for these columns.""" if len(columns) != 1: diff --git a/datafaker/generators/mimesis.py b/datafaker/generators/mimesis.py index a0fa426..736c819 100644 --- a/datafaker/generators/mimesis.py +++ b/datafaker/generators/mimesis.py @@ -292,6 +292,15 @@ class MimesisStringGeneratorFactory(GeneratorFactory): "text.word", ] + def _get_generators_with(self, gen_class: Callable, **kwargs) -> list[Generator]: + gens: Generator = [] + for name in self.GENERATOR_NAMES: + try: + gens.append(gen_class(name, **kwargs)) + except: + pass + return gens + def get_generators( self, columns: list[Column], engine: Engine ) -> Sequence[Generator]: @@ -317,19 +326,16 @@ def get_generators( fitness_fn = None length = column_type.length if length: - return list( - map( - lambda gen: MimesisGeneratorTruncated( - gen, length, fitness_fn, buckets - ), - self.GENERATOR_NAMES, - ) - ) - return list( - map( - lambda gen: MimesisGenerator(gen, fitness_fn, buckets), - self.GENERATOR_NAMES, + return self._get_generators_with( + MimesisGeneratorTruncated, + length=length, + value_fn=fitness_fn, + buckets=buckets, ) + return self._get_generators_with( + MimesisGenerator, + value_fn=fitness_fn, + buckets=buckets, ) diff --git a/datafaker/main.py b/datafaker/main.py index eb5b1d9..a6e8895 100644 --- a/datafaker/main.py +++ b/datafaker/main.py @@ -487,13 +487,21 @@ def dump_data( default=[], help="The tables to dump (default is all non-ignored, non-vocabulary tables)" ), - output: str | None = Option(None, help="output CSV or Parquet file name or - to output to the console (only if exactly one table is given, default is to derive it from the table name)"), + output: str | None = Option(None, help="Output CSV or Parquet file name, directory to write into or - to output to the console"), parquet: bool = Option(False, help="Use Parquet format (default use CSV unless --output specifies a .parquet file)") ) -> None: """Dump a whole table as a CSV file (or to the console) from the destination database.""" - if len(table) != 1 and output: - logger.error("Must specify exactly one table if the output name is specified") - sys.exit(1) + dir = Path(".") + if output: + if Path(output).is_dir(): + dir = Path(output) + output = None + elif len(table) != 1: + logger.error( + "Must specify exactly one table if the output name is" + " specified, or specify an existing directory" + ) + sys.exit(1) settings = get_settings() dst_dsn: str = settings.dst_dsn or "" assert dst_dsn != "", "Missing DST_DSN setting." @@ -519,7 +527,7 @@ def dump_data( if output: if parquet or output.endswith(ParquetTableWriter.EXTENSION): writer = get_parquet_table_writer(metadata, dst_dsn, schema_name) - if not writer.write_file(mtables[0], output): + if not writer.write_file(mtables[0], dir / output): logger.error("Could not write table %s to file %s", table, output) return if parquet: @@ -527,7 +535,7 @@ def dump_data( count_written = 0 failed: list[str] = [] for mtable in mtables: - if writer.write(mtable): + if writer.write(mtable, dir): count_written += 1 else: failed.append(mtable.name) diff --git a/datafaker/make.py b/datafaker/make.py index c89a02b..aa0ddbc 100644 --- a/datafaker/make.py +++ b/datafaker/make.py @@ -35,6 +35,8 @@ get_sync_engine, get_vocabulary_table_names, logger, + make_primary_key_name, + split_foreign_key_target, ) from .serialize_metadata import metadata_to_dict @@ -211,9 +213,7 @@ def _get_default_generator(column: Column) -> RowGeneratorInfo: "Can't handle multiple foreign keys for one column." ) fkey = next(iter(column.foreign_keys)) - target_name_parts = fkey.target_fullname.split(".") - target_table_name = ".".join(target_name_parts[:-1]) - target_column_name = target_name_parts[-1] + (target_table_name, target_column_name) = split_foreign_key_target(fkey.target_fullname) variable_names = [column.name] generator_function = "generic.column_value_provider.column_value" @@ -492,7 +492,7 @@ def _get_generator_for_table( constraints: Sequence[UniqueConstraint | _PrimaryConstraint] = unique_constraints if 1 < len(primary_keys): primary_constraint = _PrimaryConstraint( - columns=primary_keys, name=f"{table.name}_primary_key" + columns=primary_keys, name=make_primary_key_name(table.name) ) constraints = unique_constraints + [primary_constraint] column_choices = make_column_choices(table_config) @@ -506,7 +506,7 @@ def _get_generator_for_table( nonnull_columns = {str(col.name) for col in table.columns} table_data: TableGeneratorInfo = TableGeneratorInfo( table_name=table.name, - class_name=table.name.title() + "Generator", + class_name=table.name.title().replace(".", "") + "Generator", nonnull_columns=nonnull_columns, column_choices=column_choices, rows_per_pass=get_property(table_config, "num_rows_per_pass", int, 1), diff --git a/datafaker/serialize_metadata.py b/datafaker/serialize_metadata.py index b7f5cf2..4d817b9 100644 --- a/datafaker/serialize_metadata.py +++ b/datafaker/serialize_metadata.py @@ -7,8 +7,11 @@ from sqlalchemy.dialects import oracle, postgresql from sqlalchemy.sql import schema, sqltypes -from datafaker.utils import make_foreign_key_name - +from datafaker.utils import ( + make_foreign_key_name, + split_foreign_key_target, + get_property, +) TableT = dict[str, typing.Any] @@ -307,12 +310,8 @@ def should_ignore_fk(tables_dict: dict[str, TableT], fk: str) -> bool: :param tables_dict: The ``tables`` value from ``config.yaml``. :param fk: The name of the foreign key. """ - fk_bits = fk.split(".", 2) - if len(fk_bits) != 2: - return True - if fk_bits[0] not in tables_dict: - return False - return bool(tables_dict[fk_bits[0]].get("ignore", False)) + (table, _column) = split_foreign_key_target(fk) + return get_property(tables_dict, table, bool, False) def _always_false(_: str) -> bool: diff --git a/datafaker/utils.py b/datafaker/utils.py index 86785b4..f381ffc 100644 --- a/datafaker/utils.py +++ b/datafaker/utils.py @@ -8,6 +8,7 @@ import sys from collections.abc import Mapping, Sequence from pathlib import Path +import re from types import ModuleType from typing import ( Any, @@ -489,9 +490,25 @@ def get_row_generators( yield (name, rg) +_alphanumeric_re = re.compile(r"[^a-zA-Z0-9]") + + +def normalize_table_name(table_name: str) -> str: + """Remove non alphanumeric characters from table name.""" + name = _alphanumeric_re.sub("_", table_name) + if not name or not name[0].isalpha(): + return "_" + name + return name + + def make_foreign_key_name(table_name: str, col_name: str) -> str: """Make a suitable foreign key name.""" - return f"{table_name}_{col_name}_fkey" + return f"{normalize_table_name(table_name)}_{col_name}_fkey" + + +def make_primary_key_name(table_name: str) -> str: + """Make a suitable primary key name.""" + return f"{normalize_table_name(table_name)}_primary_key" def remove_vocab_foreign_key_constraints( @@ -756,3 +773,17 @@ def generators_require_stats(config: Mapping) -> bool: for error in errors: logger.error(*error) return stats_required + +def split_foreign_key_target(fk_target: str) -> tuple[str, str]: + """ + Split a foreign key target string into table and column. + + :param fk: The string, such as ``artist.artist_id`` or ``artist.parquet.artist_id``. + :return: A pair of strings; the table name and the column name. For example + ``("artist.parquet", "artist_id")``. + """ + target_name_parts = fk_target.split(".") + return ( + ".".join(target_name_parts[:-1]), + target_name_parts[-1], + ) diff --git a/docs/source/duckdb.rst b/docs/source/duckdb.rst new file mode 100644 index 0000000..3b504ef --- /dev/null +++ b/docs/source/duckdb.rst @@ -0,0 +1,96 @@ +Working with CSV and Parquet files with DuckDB +============================================== + +DuckDB is supported for both the source and the destination database. +DuckDB is famous for being able to work with ``.parquet`` and ``.csv`` files without first pulling the data into its own database. +(A Parquet file is a data format like CSV but much more efficient for storage and searching, and not human readable). + +Using DuckDB without using Parquet or CSV files +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +DuckDB will work as source and/or destination databases like this: + +.. code-block:: shell + + export SRC_DSN=duckdb:////path/to/file/duck.db + export DST_DSN=duckdb:////path/to/file/fake.db + +This will use the DuckDB database in the file ``/path/to/file/duck.db`` and output to the file ``/path/to/file/fake.db``. +The destination file must exist before the call to ``datafaker create-tables``. +This is achieved most simply like this: + +.. code-block:: shell + + duckdb /path/to/file/fake.db -c "" + +This will write an empty database to the file ``/path/to/file/fake.db``. + +Using DuckDB to source from Parquet or CSV files +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +You do not need to set up a real DuckDB database if all your source data is in Parquet or CSV files. +Simply set your source connection string to an in-memory database: + +.. code-block:: shell + + export SRC_DSN=duckdb:///:memory: + +If you do this, `datafaker create-tables` will not work as there is nothing in this database, so you will have to write your ``orm.yaml`` file by hand. +Assume you have two Parquet files, ``artist.parquet`` and ``artwork.parquet``. + +Our ``orm.yaml`` file must specify these files and the columns within them, for example: + +.. code-block:: yaml + + tables: + artist.parquet: # this is the name of the parquet file + columns: + artist_id: + type: INTEGER + primary: true # mark artist_id as the primary key + nullable: false # columns are nullable by default, so set this if not. + name: + type: TEXT + gender: + type: TEXT + nationality: + type: TEXT + birth_date: + type: DATE + end_date: + type: DATE + artwork.parquet: # The other parquet file + columns: + artwork_id: + type: INTEGER + primary: true + nullable: false + artist_id: + foreign_keys: + - artist.parquet.artist_id # Maps to the artist_id column of the artist.parquet file + name: + type: TEXT + date: + type: date + medium: + type: TEXT + +Now you can run ``datafaker configure-tables`` and similar to begin configuring datafaker. + +Using DuckDB to write fake Parquet or CSV files +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +You cannot use an in-memory DuckDB for the destination database because it needs to survive multiple calls to ``datafaker``. +Luckily it is not hard to set up a DuckDB database; use the command above (``duckdb fake.db -c ""``) and set your ``DST_DSN`` string accordingly. + +Now you can use ``datafaker create-tables``, ``datafaker create-generators``, and ``datafaker create-data``. +You now have a file containing the fake data. If you want CSV of parquet files you can use the following commands: + +.. code-block:: shell + + mkdir fake_csv + datafaker dump-data --output fake_csv/ + mkdir fake_parquet + datafaker dump-data --parquet --output fake_parquet/ + +You now have a directory of fake data in CSV format and anther directory of the same fake data in parquet format. From d70f39ce9006f07dc61078e07409c2decda59d33 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Wed, 17 Dec 2025 18:33:53 +0000 Subject: [PATCH 12/15] Fixed test_dump --- tests/test_dump.py | 58 +++++++++++++++++++++++++++++----------------- 1 file changed, 37 insertions(+), 21 deletions(-) diff --git a/tests/test_dump.py b/tests/test_dump.py index 2340a6c..236de2d 100644 --- a/tests/test_dump.py +++ b/tests/test_dump.py @@ -1,10 +1,10 @@ """Tests for the base module.""" -import io -from unittest.mock import MagicMock, call, patch +import csv +from pathlib import Path +import tempfile -from sqlalchemy.schema import MetaData - -from datafaker.dump import dump_db_tables +from datafaker.dump import CsvTableWriter, get_parquet_table_writer +import pandas as pd from tests.utils import RequiresDBTestCase @@ -15,19 +15,35 @@ class DumpTests(RequiresDBTestCase): database_name = "instrument" schema_name = "public" - @patch("datafaker.dump._make_csv_writer") - def test_dump_data(self, make_csv_writer: MagicMock) -> None: - """Test dump-data.""" - test_output_file = io.StringIO() - metadata = MetaData() - metadata.reflect(self.sync_engine) - dump_db_tables(metadata, self.dsn, self.schema_name, "player", test_output_file) - make_csv_writer.assert_called_once_with(test_output_file) - make_csv_writer.assert_has_calls( - [ - call().writerow(["id", "given_name", "family_name"]), - call().writerow((1, "Mark", "Samson")), - call().writerow((2, "Tim", "Friedman")), - call().writerow((3, "Pierre", "Marchmont")), - ] - ) + def test_dump_data_csv(self) -> None: + """Test dump-data for CSV output.""" + outdir = Path(tempfile.mkdtemp("dump")) + writer = CsvTableWriter(self.metadata, self.dsn, None) + table_name = "manufacturer" + writer.write(self.metadata.tables[table_name], outdir) + table_path = outdir / f"{table_name}.csv" + self.assertTrue(table_path.is_file()) + with table_path.open() as table_fh: + reader = csv.reader(table_fh) + content = list(reader) + self.assertListEqual(content[0], ["id", "name", "founded"]) + self.assertListEqual(content[1], ["1", "Blender", "1951-01-08 12:05:06+00:00"]) + self.assertListEqual(content[2], ["2", "Gibbs", "1959-03-04 15:08:09+00:00"]) + + def test_dump_data_parquet(self) -> None: + """Test dump-data for Parquet output.""" + outdir = Path(tempfile.mkdtemp("dump")) + writer = get_parquet_table_writer(self.metadata, self.dsn, None) + table_name = "manufacturer" + writer.write(self.metadata.tables[table_name], outdir) + table_path = outdir / f"{table_name}.parquet" + self.assertTrue(table_path.is_file()) + df = pd.read_parquet(table_path) + self.assertListEqual(df.columns.to_list(), ["id", "name", "founded"]) + self.assertListEqual(df["id"].to_list(), [1, 2]) + self.assertListEqual(df["name"].to_list(), ["Blender", "Gibbs"]) + founded = [ + pd.Timestamp("1951-01-08 12:05:06+00:00"), + pd.Timestamp("1959-03-04 15:08:09+00:00"), + ] + self.assertListEqual(df["founded"].to_list(), founded) From a968e5d2476ddce9328dfe3f0f5bdab7d3cb1f4e Mon Sep 17 00:00:00 2001 From: Tim Band Date: Fri, 19 Dec 2025 19:40:56 +0000 Subject: [PATCH 13/15] dump-data tests now run with DuckDB and PostgreSQL --- poetry.lock | 450 ++++++++++++++++++++++----------------------- pyproject.toml | 3 +- tests/test_dump.py | 67 +++++-- tests/utils.py | 232 +++++++++++++++++++---- 4 files changed, 479 insertions(+), 273 deletions(-) diff --git a/poetry.lock b/poetry.lock index 530234f..9dd1340 100644 --- a/poetry.lock +++ b/poetry.lock @@ -708,13 +708,13 @@ lzo = ["python-lzo"] [[package]] name = "filelock" -version = "3.20.0" +version = "3.20.1" description = "A platform independent file lock." optional = false python-versions = ">=3.10" files = [ - {file = "filelock-3.20.0-py3-none-any.whl", hash = "sha256:339b4732ffda5cd79b13f4e2711a31b0365ce445d95d243bb996273d072546a2"}, - {file = "filelock-3.20.0.tar.gz", hash = "sha256:711e943b4ec6be42e1d4e6690b48dc175c822967466bb31c0c293f34334c13f4"}, + {file = 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"058c4d6fe8505ea24ee9761e4edfb4a94f4a96f7185577fd74d09a93fa51ff42" +content-hash = "46492f0dc854272da6017e48e141f2c62b53acd8ed38011f00110697a1904aaa" diff --git a/pyproject.toml b/pyproject.toml index e6ab21d..5f88d5c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,7 +22,7 @@ sqlalchemy-utils = "^0.41.2" mimesis = "^18.0.0" typer = "^0.15.4" pyyaml = "^6.0" -sqlalchemy = "^2" +sqlalchemy = "^2, != 2.0.45" sphinx-rtd-theme = {version = "^1.2.0", optional = true} sphinxcontrib-napoleon = {version = "^0.7", optional = true} smartnoise-sql = "^1" @@ -50,6 +50,7 @@ rstcheck-core = {extras = ["sphinx"], version = "^1.0.3"} json-schema-for-humans = "^1.3.4" pre-commit = "^3.3.3" testing-postgresql = "^1.3.0" +duckdb = "^1.4.3" [tool.poetry.group.extras.dependencies] tqdm = "^4.65.0" diff --git a/tests/test_dump.py b/tests/test_dump.py index 236de2d..8ad925a 100644 --- a/tests/test_dump.py +++ b/tests/test_dump.py @@ -1,24 +1,51 @@ """Tests for the base module.""" import csv -from pathlib import Path import tempfile +from collections.abc import Iterable +from pathlib import Path +from typing import Any -from datafaker.dump import CsvTableWriter, get_parquet_table_writer import pandas as pd -from tests.utils import RequiresDBTestCase +from datafaker.dump import CsvTableWriter, get_parquet_table_writer +from tests.utils import DuckDbTestCase, PostgresTestCase, RequiresDbTestMixin -class DumpTests(RequiresDBTestCase): + +class DumpTests(RequiresDbTestMixin): """Testing configure-tables.""" dump_file_path = "instrument.sql" database_name = "instrument" schema_name = "public" + def assert_equal(self, a: Any, b: Any) -> None: + self.assertEqual(a, b) # pylint: disable=no-member + + def assert_true(self, a: bool) -> None: + self.assertTrue(a) # pylint: disable=no-member + + def assert_list_equal(self, xs: Iterable, ys: Iterable) -> None: + self.assertListEqual(xs, ys) # pylint: disable=no-member + + def assert_timestamps_equal(self, ts1: pd.Timestamp, ts2: pd.Timestamp) -> None: + """ + Assert that the timestamps are equal. + + Timezone-naive timestamps are put into UTC. + """ + if ts1.tz is None: + if ts2.tz is not None: + self.assert_equal(ts1.tz_localize("UTC"), ts2) + return + elif ts2.tz is None: + self.assert_equal(ts1, ts2.tz_localize("UTC")) + return + self.assert_equal(ts1, ts2) + def test_dump_data_csv(self) -> None: """Test dump-data for CSV output.""" outdir = Path(tempfile.mkdtemp("dump")) - writer = CsvTableWriter(self.metadata, self.dsn, None) + writer = CsvTableWriter(self.metadata, self.dsn, self.schema_name) table_name = "manufacturer" writer.write(self.metadata.tables[table_name], outdir) table_path = outdir / f"{table_name}.csv" @@ -27,13 +54,17 @@ def test_dump_data_csv(self) -> None: reader = csv.reader(table_fh) content = list(reader) self.assertListEqual(content[0], ["id", "name", "founded"]) - self.assertListEqual(content[1], ["1", "Blender", "1951-01-08 12:05:06+00:00"]) - self.assertListEqual(content[2], ["2", "Gibbs", "1959-03-04 15:08:09+00:00"]) + self.assertListEqual( + content[1], ["1", "Blender", "1951-01-08 12:05:06+00:00"] + ) + self.assertListEqual( + content[2], ["2", "Gibbs", "1959-03-04 15:08:09+00:00"] + ) def test_dump_data_parquet(self) -> None: """Test dump-data for Parquet output.""" outdir = Path(tempfile.mkdtemp("dump")) - writer = get_parquet_table_writer(self.metadata, self.dsn, None) + writer = get_parquet_table_writer(self.metadata, self.dsn, self.schema_name) table_name = "manufacturer" writer.write(self.metadata.tables[table_name], outdir) table_path = outdir / f"{table_name}.parquet" @@ -42,8 +73,18 @@ def test_dump_data_parquet(self) -> None: self.assertListEqual(df.columns.to_list(), ["id", "name", "founded"]) self.assertListEqual(df["id"].to_list(), [1, 2]) self.assertListEqual(df["name"].to_list(), ["Blender", "Gibbs"]) - founded = [ - pd.Timestamp("1951-01-08 12:05:06+00:00"), - pd.Timestamp("1959-03-04 15:08:09+00:00"), - ] - self.assertListEqual(df["founded"].to_list(), founded) + self.assert_equal(len(df["founded"]), 2) + self.assert_timestamps_equal( + df["founded"][0], pd.Timestamp("1951-01-08 12:05:06+00:00") + ) + self.assert_timestamps_equal( + df["founded"][1], pd.Timestamp("1959-03-04 15:08:09+00:00") + ) + + +class DumpTestsPostgres(DumpTests, PostgresTestCase): + """DumpTests against PostgreSQL.""" + + +class DumpTestsDuckDb(DumpTests, DuckDbTestCase): + """DumpTests against DuckDB.""" diff --git a/tests/utils.py b/tests/utils.py index db9a458..66b48e9 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -1,16 +1,22 @@ """Utilities for testing.""" import asyncio import os +import random +import re import shutil +import string +import time import traceback +from abc import ABC, abstractmethod from collections.abc import MutableSequence, Sequence from functools import lru_cache from pathlib import Path from subprocess import run -from tempfile import mkstemp +from tempfile import mkdtemp, mkstemp from typing import Any, Mapping from unittest import TestCase, skipUnless +import duckdb import testing.postgresql import yaml from sqlalchemy.schema import MetaData @@ -46,15 +52,16 @@ def get_test_settings() -> settings.Settings: ) -class DatafakerTestCase(TestCase): +class DatafakerTestMixin: """Parent class for all TestCases in datafaker.""" def __init__(self, *args: Any, **kwargs: Any) -> None: """Initialize an instance of DatafakerTestCase.""" - self.maxDiff = None # pylint: disable=invalid-name + self.database = None super().__init__(*args, **kwargs) - def setUp(self) -> None: + def mixin_set_up(self) -> None: + """Set up but for mixins (unittest.TestCase.setUp does not super() call).""" settings.get_settings.cache_clear() def assertReturnCode( # pylint: disable=invalid-name @@ -118,8 +125,27 @@ def assert_subset(self, set1: set[T], set2: set[T], msg: str | None = None) -> N self.fail(self._formatMessage(msg, standard_msg)) -@skipUnless(shutil.which("psql"), "need to find 'psql': install PostgreSQL to enable") -class RequiresDBTestCase(DatafakerTestCase): +class TestDatabaseBase(ABC): + """Abstract base class for test databases.""" + + @abstractmethod + def close(self) -> None: + """Tear down the test database.""" + + @abstractmethod + def open(self) -> None: + """Open a fresh test database (closing any previous).""" + + @abstractmethod + def dsn(self) -> str: + """Get the DSN for the test database.""" + + @abstractmethod + def run_sql(self, sql_file: Path) -> None: + """Run the provided SQL file on the test database.""" + + +class RequiresDbTestMixin(DatafakerTestMixin): """ A test case that only runs if PostgreSQL is installed. A test postgres is installed @@ -135,25 +161,18 @@ class RequiresDBTestCase(DatafakerTestCase): examples_dir = Path("tests/examples") dump_file_path: str | None = None database_name: str | None = None - Postgresql = None - - @classmethod - def setUpClass(cls) -> None: - cls.Postgresql = testing.postgresql.PostgresqlFactory(cache_initialized_db=True) - @classmethod - def tearDownClass(cls) -> None: - if cls.Postgresql is not None: - cls.Postgresql.clear_cache() + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) - def setUp(self) -> None: - super().setUp() - assert self.Postgresql is not None - self.postgresql = self.Postgresql() # pylint: disable=not-callable - if self.dump_file_path is not None: - self.run_psql(Path(self.examples_dir) / Path(self.dump_file_path)) + def mixin_set_up(self) -> None: + super().mixin_set_up() + assert self.database is not None, ( + "PostgresTestCase or DuckDbTestCase should" + " be added (or moved left in the super class list)" + ) self.engine = create_db_engine( - self.dsn, + self.database.dsn(self.database_name), schema_name=self.schema_name, use_asyncio=self.use_asyncio, ) @@ -161,22 +180,52 @@ def setUp(self) -> None: self.metadata = MetaData() self.metadata.reflect(self.sync_engine) - def tearDown(self) -> None: - self.postgresql.stop() - super().tearDown() - @property def dsn(self) -> str: """Get the database connection string.""" - if self.database_name: - url = self.postgresql.url(database=self.database_name) + assert self.database is not None + return self.database.dsn(self.database_name) + + +class TestPostgres(TestDatabaseBase): + """Postgres test database.""" + + Postgresql = None + + @classmethod + def setup(cls) -> None: + cls.Postgresql = testing.postgresql.PostgresqlFactory(cache_initialized_db=True) + + def __init__(self): + super().__init__() + self.open() + + def open(self) -> None: + """Start the test database""" + self.postgresql = self.Postgresql() # pylint: disable=not-callable + + def close(self) -> None: + """Tear down the test database.""" + if self.postgresql is not None: + self.postgresql.terminate() + + @classmethod + def final(cls) -> None: + """Clean up after all testing""" + if cls.Postgresql is not None: + cls.Postgresql.clear_cache() + + def dsn(self, database_name: str | None) -> str: + """Get the DSN for the test database.""" + if database_name: + url = self.postgresql.url(database=database_name) else: url = self.postgresql.url() assert isinstance(url, str) return url - def run_psql(self, dump_file: Path) -> None: - """Run psql and pass dump_file_name as the --file option.""" + def run_sql(self, sql_file: Path) -> None: + """Run psql and pass a sql file as the --file option.""" # If you need to update a .dump file, use # PGPASSWORD=password pg_dump \ @@ -192,7 +241,7 @@ def run_psql(self, dump_file: Path) -> None: # Clear and re-create the test database completed_process = run( - ["psql", "-d", self.postgresql.url(), "-f", dump_file], + ["psql", "-d", self.postgresql.url(), "-f", sql_file], capture_output=True, check=True, ) @@ -200,7 +249,114 @@ def run_psql(self, dump_file: Path) -> None: assert completed_process.stderr == b"", completed_process.stderr -class GeneratesDBTestCase(RequiresDBTestCase): +@skipUnless(shutil.which("psql"), "need to find 'psql': install PostgreSQL to enable") +class PostgresTestCase(TestCase): + """Postgres database test case.""" + + @classmethod + def setUpClass(cls) -> None: + TestPostgres.setup() + super().setUpClass() + + @classmethod + def tearDownClass(cls) -> None: + TestPostgres.final() + + def setUp(self) -> None: + super().setUp() + self.database = TestPostgres() + if self.dump_file_path is not None: + self.database.run_sql(Path(self.examples_dir) / Path(self.dump_file_path)) + self.mixin_set_up() + + def tearDown(self) -> None: + self.database.close() + super().tearDown() + + +class TestDuckDb(TestDatabaseBase): + """Test DuckDB database.""" + + SQL_REMOVALS_RE = re.compile( + r"^(CREATE DATABASE .*;)|(\\.*)|(ALTER [^;]*;)", re.MULTILINE + ) + # Postgres' default stupid time format, ingoring time zone for now + TIME_FORMAT_RE = re.compile( + r"'([A-Z][a-z]+ \d+ \d\d:\d\d:\d\d \d\d\d\d) ([A-Z+\-0-9:]+)'" + ) + + def __init__(self, *args, **kwargs): + """Initialize DuckDbTestCase""" + super().__init__(*args, **kwargs) + self._duckdb_con: Any = None + self._db_dir = Path(mkdtemp("duck")) + self._make_con_string() + + def _make_con_string(self) -> None: + """Make a fresh connection string.""" + self._db_path = self._db_dir / ( + "".join(random.choice(string.ascii_letters) for _ in range(8)) + ".db" + ) + + def open(self) -> None: + """Start the test database""" + self.close() + self._make_con_string() + # create the database (must be non-read-only) + duckdb_con = duckdb.connect(self._db_path) + duckdb_con.close() + + def close(self) -> None: + """Tear down the test database.""" + if self._duckdb_con is not None: + self._duckdb_con.close() + self._duckdb_con = None + + def dsn(self, _database_name: str | None) -> str: + """Get the DSN for the test database.""" + return f"duckdb:///{self._db_path}" + + def run_sql(self, sql_file: Path) -> None: + """Run all the SQL commands in ``sql_file`` on the database.""" + with sql_file.open() as sql_fh: + sql = sql_fh.read() + # Remove Postgresisms that DuckDB doesn't understand + sanitized1 = re.sub(self.SQL_REMOVALS_RE, "", sql) + # Convert time formats + sanitized = re.sub( + self.TIME_FORMAT_RE, + lambda tf: time.strftime( + f"(TIMESTAMPTZ '%Y-%m-%d %H:%M:%S {tf.group(2)}')", + time.strptime(tf.group(1), "%B %d %H:%M:%S %Y"), + ), + sanitized1, + ) + # Postgres has default schema "public", so we must have the same + duckdb_con = duckdb.connect(self._db_path) + duckdb_con.execute("CREATE SCHEMA public;") + duckdb_con.execute(sanitized) + duckdb_con.close() + + +@skipUnless(shutil.which("duckdb"), "install DuckDB to enable") +class DuckDbTestCase(TestCase): + """DuckDb database test case.""" + + def setUp(self) -> None: + super().setUp() + if self.database is None: + self.database = TestDuckDb() + self.database.open() + if self.dump_file_path is not None: + self.database.run_sql(Path(self.examples_dir) / Path(self.dump_file_path)) + self.mixin_set_up() + + def tearDown(self) -> None: + self.database.close() + super().tearDown() + + +class GeneratesDBTestMixin(RequiresDbTestMixin): """A test case for which a database is generated.""" def __init__(self, *args: Any, **kwargs: Any) -> None: @@ -333,3 +489,15 @@ def columnize(self, items: Sequence[str] | None, _displaywidth: int = 80) -> Non def ask_save(self) -> str: """Quitting always works without needing to ask the user.""" return "yes" + + +class DatafakerTestCase(DatafakerTestMixin, TestCase): + """Basic test case.""" + + +class RequiresDBTestCase(RequiresDbTestMixin, PostgresTestCase): + """PostgreSQL database test case.""" + + +class GeneratesDBTestCase(GeneratesDBTestMixin, PostgresTestCase): + """PostgreSQL database generation test case.""" From 29db13a53b3c83d45a70d4576d82273de7b90013 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Thu, 8 Jan 2026 13:40:31 +0000 Subject: [PATCH 14/15] precommit hooks pass --- datafaker/create.py | 14 +- datafaker/dump.py | 71 ++++--- datafaker/generators/base.py | 10 +- datafaker/generators/mimesis.py | 8 +- datafaker/main.py | 125 +++++++----- datafaker/make.py | 4 +- datafaker/serialize_metadata.py | 3 +- datafaker/utils.py | 21 +- tests/test_dump.py | 35 ++-- tests/test_functional.py | 11 -- tests/utils.py | 328 ++++++++++++++++---------------- 11 files changed, 344 insertions(+), 286 deletions(-) diff --git a/datafaker/create.py b/datafaker/create.py index b739d0f..ef30217 100644 --- a/datafaker/create.py +++ b/datafaker/create.py @@ -26,9 +26,9 @@ @compiles(CreateColumn, "duckdb") -def remove_serial(element: CreateColumn, compiler: Any, **kw: Any): +def remove_serial(element: CreateColumn, compiler: Any, **kw: Any) -> str: """ - Hook compilation for column creation, removing PostgreSQL's ``SERIAL``. + Intercede in compilation for column creation, removing PostgreSQL's ``SERIAL``. DuckDB does not understand ``SERIAL``, and we don't care about autoincrementing in datafaker. Ideally ``duckdb_engine`` would remove @@ -36,23 +36,25 @@ def remove_serial(element: CreateColumn, compiler: Any, **kw: Any): :param element: The CreateColumn being executed. :param compiler: Actually a DDLCompiler, but that type is not exported. :param kw: Further arguments. + :return: Corrected SQL. """ - text = compiler.visit_create_column(element, **kw) + text: str = compiler.visit_create_column(element, **kw) return text.replace(" SERIAL ", " INTEGER ") @compiles(CreateTable, "duckdb") -def remove_on_delete_cascade(element: CreateTable, compiler: Any, **kw: Any): +def remove_on_delete_cascade(element: CreateTable, compiler: Any, **kw: Any) -> str: """ - Hook compilation for column creation, removing ``ON DELETE CASCADE``. + Intercede in compilation for column creation, removing ``ON DELETE CASCADE``. DuckDB does not understand cascades, and we don't care about that in datafaker. Ideally ``duckdb_engine`` would remove this for us. :param element: The CreateTable being executed. :param compiler: Actually a DDLCompiler, but that type is not exported. :param kw: Further arguments. + :return: Corrected SQL. """ - text = compiler.visit_create_table(element, **kw) + text: str = compiler.visit_create_table(element, **kw) return text.replace(" ON DELETE CASCADE", "") diff --git a/datafaker/dump.py b/datafaker/dump.py index 9429696..bd8889d 100644 --- a/datafaker/dump.py +++ b/datafaker/dump.py @@ -1,7 +1,7 @@ """Data dumping functions.""" -from abc import ABC, abstractmethod import csv import io +from abc import ABC, abstractmethod from pathlib import Path import pandas as pd @@ -12,16 +12,14 @@ class TableWriter(ABC): - """ - Writes a table out to a file. - """ + """Writes a table out to a file.""" EXTENSION = ".csv" def __init__(self, metadata: MetaData, dsn: str, schema: str | None) -> None: """ - Initialize the TableWriter - + Initialize the TableWriter. + :param metadata: The metadata for our database. :param dsn: The connection string for our database. :param schema: The schema name for our database, or None for the default. @@ -32,13 +30,11 @@ def __init__(self, metadata: MetaData, dsn: str, schema: str | None) -> None: def connect(self) -> sqlalchemy.engine.Connection: """Connect to the database.""" - engine = get_sync_engine( - create_db_engine(self._dsn, schema_name=self._schema) - ) + engine = get_sync_engine(create_db_engine(self._dsn, schema_name=self._schema)) return engine.connect() @abstractmethod - def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + def write_file(self, table: sqlalchemy.Table, filepath: Path) -> bool: """ Write the named table into the named file. @@ -47,13 +43,20 @@ def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: :return: ``true`` on success, otherwise ``false``. """ - def write(self, table: sqlalchemy.Table, dir: Path) -> bool: + def write(self, table: sqlalchemy.Table, directory: Path) -> bool: + """ + Write the table into a directory with a filename based on the table's name. + + :param table: The table to write out. + :param directory: The directory to write the table into. + :return: ``true`` on success, otherwise ``false``. + """ tn = table.name # DuckDB tables derived from files have confusing suffixes # that we should probably remove tn = tn.removesuffix(".csv") tn = tn.removesuffix(".parquet") - return self.write_file(table, dir / f"{tn}{self.EXTENSION}") + return self.write_file(table, directory / f"{tn}{self.EXTENSION}") class ParquetTableWriter(TableWriter): @@ -61,10 +64,10 @@ class ParquetTableWriter(TableWriter): EXTENSION = ".parquet" - def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + def write_file(self, table: sqlalchemy.Table, filepath: Path) -> bool: """ Write the named table into the named file. - + :param table: The table to output :param filename: The filename of the file to write to. :return: ``true`` on success, otherwise ``false``. @@ -74,8 +77,8 @@ def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: str(name) for name, col in table.columns.items() if isinstance( - col.type, sqlalchemy.types.DATE - ) or isinstance(col.type, sqlalchemy.types.DATETIME) + col.type, (sqlalchemy.types.DATE, sqlalchemy.types.DATETIME) + ) ] df = pd.read_sql( sql=f"SELECT * FROM {table.name}", @@ -83,7 +86,7 @@ def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: columns=[str(col.name) for col in table.columns.values()], parse_dates=dates, ) - df.to_parquet(filename) + df.to_parquet(filepath) return True @@ -95,23 +98,35 @@ class DuckDbParquetTableWriter(ParquetTableWriter): does not work with DuckDB. """ - def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + def write_file(self, table: sqlalchemy.Table, filepath: Path) -> bool: """ Write the named table into the named file. - + :param table: The table to output :param filename: The filename of the file to write to. :return: ``true`` on success, otherwise ``false``. """ with self.connect() as connection: - result = connection.execute(sqlalchemy.text( - # We need the double quotes to get DuckDB to read the table not the file. - f"COPY \"{table.name}\" TO '{filename}' (FORMAT PARQUET)" - )) + result = connection.execute( + sqlalchemy.text( + # We need the double quotes to get DuckDB to read the table not the file. + f"COPY \"{table.name}\" TO '{filepath}' (FORMAT PARQUET)" + ) + ) return result is not None -def get_parquet_table_writer(metadata: MetaData, dsn: str, schema: str | None) -> TableWriter: +def get_parquet_table_writer( + metadata: MetaData, dsn: str, schema: str | None +) -> TableWriter: + """ + Get a ``TableWriter`` that writes parquet files. + + :param metadata: The database metadata containing the tables to be dumped to files. + :param dsn: The database connection string. + :param schema: The schema name, if required. + :return: ``TableWriter`` to write a parquet file. + """ if dsn.startswith("duckdb:"): return DuckDbParquetTableWriter(metadata, dsn, schema) return ParquetTableWriter(metadata, dsn, schema) @@ -124,13 +139,13 @@ class TableWriterIO(TableWriter): def write_io(self, table: sqlalchemy.Table, out: io.TextIOBase) -> bool: """ Write the named table into the named file. - + :param table: The table to output :param filename: The filename of the file to write to. :return: ``true`` on success, otherwise ``false``. """ - def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: + def write_file(self, table: sqlalchemy.Table, filepath: Path) -> bool: """ Write the named table into the named file. @@ -138,7 +153,7 @@ def write_file(self, table: sqlalchemy.Table, filename: str) -> bool: :param filename: The filename of the file to write to. :return: ``true`` on success, otherwise ``false``. """ - with open(filename, "wt", newline="", encoding="utf-8") as out: + with open(filepath, "wt", newline="", encoding="utf-8") as out: return self.write_io(table, out) @@ -148,7 +163,7 @@ class CsvTableWriter(TableWriterIO): def write_io(self, table: sqlalchemy.Table, out: io.TextIOBase) -> bool: """ Write the named table into the named file. - + :param table: The table to output :param filename: The filename of the file to write to. :return: ``True`` on success, otherwise ``False``. diff --git a/datafaker/generators/base.py b/datafaker/generators/base.py index c50811d..d46ec39 100644 --- a/datafaker/generators/base.py +++ b/datafaker/generators/base.py @@ -291,9 +291,13 @@ def __init__( ) self.buckets: Sequence[int] = [0] * 10 for rb in raw_buckets: - if isinstance(rb.b, Numeric) and rb.b.is_integer(): - bucket = min(9, max(0, int(rb.b) + 1)) - self.buckets[bucket] += rb.f / count + try: + x = float(rb.b) + if x.is_integer(): + bucket = min(9, max(0, int(x) + 1)) + self.buckets[bucket] += rb.f / count + except TypeError: + pass self.mean = mean self.stddev = stddev diff --git a/datafaker/generators/mimesis.py b/datafaker/generators/mimesis.py index 736c819..78894ea 100644 --- a/datafaker/generators/mimesis.py +++ b/datafaker/generators/mimesis.py @@ -292,12 +292,14 @@ class MimesisStringGeneratorFactory(GeneratorFactory): "text.word", ] - def _get_generators_with(self, gen_class: Callable, **kwargs) -> list[Generator]: - gens: Generator = [] + def _get_generators_with( + self, gen_class: Callable, **kwargs: Any + ) -> list[Generator]: + gens: list[Generator] = [] for name in self.GENERATOR_NAMES: try: gens.append(gen_class(name, **kwargs)) - except: + except: # pylint: disable=bare-except pass return gens diff --git a/datafaker/main.py b/datafaker/main.py index a6e8895..4829dbf 100644 --- a/datafaker/main.py +++ b/datafaker/main.py @@ -4,6 +4,7 @@ import io import json import sys +from collections.abc import Iterable from enum import Enum from pathlib import Path from typing import Any, Final, Optional @@ -15,7 +16,12 @@ from typer import Argument, Exit, Option, Typer from datafaker.create import create_db_data, create_db_tables, create_db_vocab -from datafaker.dump import CsvTableWriter, ParquetTableWriter, get_parquet_table_writer +from datafaker.dump import ( + CsvTableWriter, + ParquetTableWriter, + TableWriter, + get_parquet_table_writer, +) from datafaker.interactive import ( update_config_generators, update_config_tables, @@ -32,10 +38,9 @@ from datafaker.utils import ( CONFIG_SCHEMA_PATH, conf_logger, + generated_tables, generators_require_stats, get_flag, - get_ignored_table_names, - get_vocabulary_table_names, import_file, logger, read_config_file, @@ -109,7 +114,9 @@ def load_metadata(orm_file_name: str, config: dict | None = None) -> MetaData: return dict_to_metadata(meta_dict, None) -def load_metadata_for_output(orm_file_name: str, config: dict | None = None) -> MetaData: +def load_metadata_for_output( + orm_file_name: str, config: dict | None = None +) -> MetaData: """Load metadata excluding any foreign keys pointing to ignored tables.""" meta_dict = load_metadata_config(orm_file_name, config) return dict_to_metadata(meta_dict, config) @@ -455,10 +462,12 @@ def configure_generators( logger.debug("Generators configured in %s.", config_file) -def convert_table_names_to_tables(table_names: list[str], metadata: MetaData) -> list[Table]: +def convert_table_names_to_tables( + table_names: list[str], metadata: MetaData +) -> list[Table]: """ - Convert a list of table names to SQLAlchemy Tables - + Convert a list of table names to SQLAlchemy Tables. + :param table_names: List of names of tables :param metadata: Metadata of the database :return: List of tables with names matching ``table_names`` @@ -477,6 +486,49 @@ def convert_table_names_to_tables(table_names: list[str], metadata: MetaData) -> return results +def _dump_csv_to_stdout( + table: Table, + metadata: MetaData, + dsn: str, + schema_name: str | None, +) -> None: + """Dump the table to stdout if possible.""" + if isinstance(sys.stdout, io.TextIOBase): + csv_writer = CsvTableWriter(metadata, dsn, schema_name) + csv_writer.write_io(table, sys.stdout) + + +def _get_writer( + parquet: bool, + output: str | None, + metadata: MetaData, + dsn: str, + schema_name: str | None, +) -> TableWriter: + if parquet or output and output.endswith(ParquetTableWriter.EXTENSION): + return get_parquet_table_writer(metadata, dsn, schema_name) + return CsvTableWriter(metadata, dsn, schema_name) + + +def _dump_tables_to_directory( + writer: TableWriter, + directory: Path, + tables: Iterable[Table], +) -> None: + count_written = 0 + failed: list[str] = [] + for mtable in tables: + if writer.write(mtable, directory): + count_written += 1 + else: + failed.append(mtable.name) + logger.info("%d files successfully written", count_written) + if failed: + logger.warning("%d files failed:", len(failed)) + for f in failed: + logger.warning("Failed to write %s", f) + + @app.command() def dump_data( config_file: Optional[str] = Option( @@ -485,16 +537,26 @@ def dump_data( orm_file: str = Option(ORM_FILENAME, help="The name of the ORM yaml file"), table: list[str] = Option( default=[], - help="The tables to dump (default is all non-ignored, non-vocabulary tables)" + help="The tables to dump (default is all non-ignored, non-vocabulary tables)", + ), + output: str + | None = Option( + None, + help=( + "Output CSV or Parquet file name," + " directory to write into or - to output to the console" + ), + ), + parquet: bool = Option( + False, + help="Use Parquet format (default use CSV unless --output specifies a .parquet file)", ), - output: str | None = Option(None, help="Output CSV or Parquet file name, directory to write into or - to output to the console"), - parquet: bool = Option(False, help="Use Parquet format (default use CSV unless --output specifies a .parquet file)") ) -> None: """Dump a whole table as a CSV file (or to the console) from the destination database.""" - dir = Path(".") + directory = Path(".") if output: if Path(output).is_dir(): - dir = Path(output) + directory = Path(output) output = None elif len(table) != 1: logger.error( @@ -509,41 +571,18 @@ def dump_data( config = read_config_file(config_file) if config_file is not None else {} metadata = load_metadata_for_output(orm_file, config) mtables = convert_table_names_to_tables(table, metadata) - writer = CsvTableWriter(metadata, dst_dsn, schema_name) + if not mtables: + mtables = generated_tables(metadata, config) if output == "-": - if isinstance(sys.stdout, io.TextIOBase): - writer.write_io(mtables[0], sys.stdout) + _dump_csv_to_stdout(mtables[0], metadata, dst_dsn, schema_name) return - if not mtables: - not_for_output = ( - get_vocabulary_table_names(config) - | get_ignored_table_names(config) - ) - mtables = [ - table - for table in metadata.tables.values() - if table.name not in not_for_output - ] + writer = _get_writer(parquet, output, metadata, dst_dsn, schema_name) if output: - if parquet or output.endswith(ParquetTableWriter.EXTENSION): - writer = get_parquet_table_writer(metadata, dst_dsn, schema_name) - if not writer.write_file(mtables[0], dir / output): - logger.error("Could not write table %s to file %s", table, output) + mtable = mtables[0] + if not writer.write_file(mtable, directory / output): + logger.error("Could not write table %s to file %s", mtable.name, output) return - if parquet: - writer = get_parquet_table_writer(metadata, dst_dsn, schema_name) - count_written = 0 - failed: list[str] = [] - for mtable in mtables: - if writer.write(mtable, dir): - count_written += 1 - else: - failed.append(mtable.name) - logger.info("%d files successfully written", count_written) - if failed: - logger.warning("%d files failed:", len(failed)) - for f in failed: - logger.warning("Failed to write %s", f) + _dump_tables_to_directory(writer, directory, mtables) @app.command() diff --git a/datafaker/make.py b/datafaker/make.py index aa0ddbc..7dd1e7e 100644 --- a/datafaker/make.py +++ b/datafaker/make.py @@ -213,7 +213,9 @@ def _get_default_generator(column: Column) -> RowGeneratorInfo: "Can't handle multiple foreign keys for one column." ) fkey = next(iter(column.foreign_keys)) - (target_table_name, target_column_name) = split_foreign_key_target(fkey.target_fullname) + (target_table_name, target_column_name) = split_foreign_key_target( + fkey.target_fullname + ) variable_names = [column.name] generator_function = "generic.column_value_provider.column_value" diff --git a/datafaker/serialize_metadata.py b/datafaker/serialize_metadata.py index 4d817b9..844e51d 100644 --- a/datafaker/serialize_metadata.py +++ b/datafaker/serialize_metadata.py @@ -8,10 +8,11 @@ from sqlalchemy.sql import schema, sqltypes from datafaker.utils import ( + get_property, make_foreign_key_name, split_foreign_key_target, - get_property, ) + TableT = dict[str, typing.Any] diff --git a/datafaker/utils.py b/datafaker/utils.py index f381ffc..4f05a12 100644 --- a/datafaker/utils.py +++ b/datafaker/utils.py @@ -5,10 +5,10 @@ import io import json import logging +import re import sys from collections.abc import Mapping, Sequence from pathlib import Path -import re from types import ModuleType from typing import ( Any, @@ -688,6 +688,22 @@ def sorted_non_vocabulary_tables(metadata: MetaData, config: Mapping) -> list[Ta return [metadata.tables[tn] for tn in sorted_tables] +def generated_tables(metadata: MetaData, config: Mapping) -> list[Table]: + """ + Get all the non-ignored, non-vocabulary tables. + + :param metadata: MetaData of the database. + :param config: Mapping from `config.yaml`. + :return: All the non-ignored, non-vocabulary tables. + """ + not_for_output = get_vocabulary_table_names(config) | get_ignored_table_names( + config + ) + return [ + table for table in metadata.tables.values() if table.name not in not_for_output + ] + + def underline_error(e: SyntaxError) -> str: r""" Make an underline for this error. @@ -774,10 +790,11 @@ def generators_require_stats(config: Mapping) -> bool: logger.error(*error) return stats_required + def split_foreign_key_target(fk_target: str) -> tuple[str, str]: """ Split a foreign key target string into table and column. - + :param fk: The string, such as ``artist.artist_id`` or ``artist.parquet.artist_id``. :return: A pair of strings; the table name and the column name. For example ``("artist.parquet", "artist_id")``. diff --git a/tests/test_dump.py b/tests/test_dump.py index 8ad925a..2ed8202 100644 --- a/tests/test_dump.py +++ b/tests/test_dump.py @@ -1,33 +1,24 @@ """Tests for the base module.""" import csv import tempfile -from collections.abc import Iterable from pathlib import Path -from typing import Any import pandas as pd from datafaker.dump import CsvTableWriter, get_parquet_table_writer -from tests.utils import DuckDbTestCase, PostgresTestCase, RequiresDbTestMixin +from tests.utils import RequiresDBTestCase, TestDuckDb -class DumpTests(RequiresDbTestMixin): +class DumpTests(RequiresDBTestCase): """Testing configure-tables.""" dump_file_path = "instrument.sql" database_name = "instrument" schema_name = "public" - def assert_equal(self, a: Any, b: Any) -> None: - self.assertEqual(a, b) # pylint: disable=no-member - - def assert_true(self, a: bool) -> None: - self.assertTrue(a) # pylint: disable=no-member - - def assert_list_equal(self, xs: Iterable, ys: Iterable) -> None: - self.assertListEqual(xs, ys) # pylint: disable=no-member - - def assert_timestamps_equal(self, ts1: pd.Timestamp, ts2: pd.Timestamp) -> None: + def assert_timestamps_equal( # type: ignore[no-any-unimported] + self, ts1: pd.Timestamp, ts2: pd.Timestamp + ) -> None: """ Assert that the timestamps are equal. @@ -35,12 +26,12 @@ def assert_timestamps_equal(self, ts1: pd.Timestamp, ts2: pd.Timestamp) -> None: """ if ts1.tz is None: if ts2.tz is not None: - self.assert_equal(ts1.tz_localize("UTC"), ts2) + self.assertEqual(ts1.tz_localize("UTC"), ts2) return elif ts2.tz is None: - self.assert_equal(ts1, ts2.tz_localize("UTC")) + self.assertEqual(ts1, ts2.tz_localize("UTC")) return - self.assert_equal(ts1, ts2) + self.assertEqual(ts1, ts2) def test_dump_data_csv(self) -> None: """Test dump-data for CSV output.""" @@ -73,7 +64,7 @@ def test_dump_data_parquet(self) -> None: self.assertListEqual(df.columns.to_list(), ["id", "name", "founded"]) self.assertListEqual(df["id"].to_list(), [1, 2]) self.assertListEqual(df["name"].to_list(), ["Blender", "Gibbs"]) - self.assert_equal(len(df["founded"]), 2) + self.assertEqual(len(df["founded"]), 2) self.assert_timestamps_equal( df["founded"][0], pd.Timestamp("1951-01-08 12:05:06+00:00") ) @@ -82,9 +73,7 @@ def test_dump_data_parquet(self) -> None: ) -class DumpTestsPostgres(DumpTests, PostgresTestCase): - """DumpTests against PostgreSQL.""" - - -class DumpTestsDuckDb(DumpTests, DuckDbTestCase): +class DumpTestsDuckDb(DumpTests): """DumpTests against DuckDB.""" + + database_type = TestDuckDb diff --git a/tests/test_functional.py b/tests/test_functional.py index 9d2fad7..4315db2 100644 --- a/tests/test_functional.py +++ b/tests/test_functional.py @@ -52,17 +52,6 @@ def setUp(self) -> None: env=self.env, ) - self.env = { - "src_dsn": self.dsn, - "src_schema": self.schema_name, - "dst_dsn": self.dsn, - "dst_schema": "dstschema", - } - self.runner = CliRunner( - mix_stderr=False, - env=self.env, - ) - # Copy some of the example files over to the workspace. self.test_dir = Path(tempfile.mkdtemp(prefix="df-")) for file in self.generator_file_paths + (self.config_file_path,): diff --git a/tests/utils.py b/tests/utils.py index 66b48e9..5505ea3 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -14,11 +14,12 @@ from subprocess import run from tempfile import mkdtemp, mkstemp from typing import Any, Mapping -from unittest import TestCase, skipUnless +from unittest import SkipTest, TestCase import duckdb import testing.postgresql import yaml +from sqlalchemy import Engine from sqlalchemy.schema import MetaData from datafaker import settings @@ -27,6 +28,7 @@ from datafaker.make import make_src_stats, make_table_generators, make_tables_file from datafaker.remove import remove_db_data_from from datafaker.utils import ( + MaybeAsyncEngine, T, create_db_engine, get_sync_engine, @@ -52,81 +54,21 @@ def get_test_settings() -> settings.Settings: ) -class DatafakerTestMixin: - """Parent class for all TestCases in datafaker.""" - - def __init__(self, *args: Any, **kwargs: Any) -> None: - """Initialize an instance of DatafakerTestCase.""" - self.database = None - super().__init__(*args, **kwargs) - - def mixin_set_up(self) -> None: - """Set up but for mixins (unittest.TestCase.setUp does not super() call).""" - settings.get_settings.cache_clear() - - def assertReturnCode( # pylint: disable=invalid-name - self, result: Any, expected_code: int - ) -> None: - """Give details for a subprocess result and raise if it's not as expected.""" - code = result.exit_code if hasattr(result, "exit_code") else result.returncode - if code != expected_code: - print(result.stdout) - print(result.stderr) - self.assertEqual(expected_code, code) - - def assertSuccess(self, result: Any) -> None: # pylint: disable=invalid-name - """Give details for a subprocess result and raise if the result isn't good.""" - self.assertReturnCode(result, 0) - - def assertFailure(self, result: Any) -> None: # pylint: disable=invalid-name - """Give details for a subprocess result and raise if the result isn't bad.""" - self.assertReturnCode(result, 1) - - def assertNoException(self, result: Any) -> None: # pylint: disable=invalid-name - """Assert that the result has no exception.""" - if result.exception is None: - return - self.fail("".join(traceback.format_exception(result.exception))) - - def assert_greater_and_not_none(self, left: float | None, right: float) -> None: - """ - Assert left is not None and greater than right - """ - if left is None: - self.fail("first argument is None") - else: - self.assertGreater(left, right) - - def assert_subset(self, set1: set[T], set2: set[T], msg: str | None = None) -> None: - """Assert a set is a (non-strict) subset. - - :param set1: The asserted subset. - :param set2: The asserted superset. - :param msg: Optional message to use on failure instead of a list of - differences. - """ - try: - difference = set1.difference(set2) - except TypeError as e: - self.fail(f"invalid type when attempting set difference: {e}") - except AttributeError as e: - self.fail(f"first argument does not support set difference: {e}") - - if not difference: - return - - lines = [] - if difference: - lines.append("Items in the first set but not the second:") - for item in difference: - lines.append(repr(item)) +class TestDatabaseBase(ABC): + """Abstract base class for test databases.""" - standard_msg = "\n".join(lines) - self.fail(self._formatMessage(msg, standard_msg)) + @classmethod + @abstractmethod + def skip(cls) -> str | None: + """Returns an error message if this database type is not availalble.""" + @classmethod + def setup(cls) -> None: + """Set up the class.""" -class TestDatabaseBase(ABC): - """Abstract base class for test databases.""" + @classmethod + def final(cls) -> None: + """Clean up the class.""" @abstractmethod def close(self) -> None: @@ -137,7 +79,7 @@ def open(self) -> None: """Open a fresh test database (closing any previous).""" @abstractmethod - def dsn(self) -> str: + def get_dsn(self, database_name: str | None) -> str: """Get the DSN for the test database.""" @abstractmethod @@ -145,63 +87,33 @@ def run_sql(self, sql_file: Path) -> None: """Run the provided SQL file on the test database.""" -class RequiresDbTestMixin(DatafakerTestMixin): - """ - A test case that only runs if PostgreSQL is installed. - A test postgres is installed - dump_file_path can be set to run in this postgres database. - database_name is the name of the database referred to in dump_file_path. - You can use ``self.dsn`` to retrieve the DSN of this database, ``self.engine`` - to get an engine to access the database and self.metadata to get metadata - reflected from that engine. - """ - - schema_name: str | None = None - use_asyncio = False - examples_dir = Path("tests/examples") - dump_file_path: str | None = None - database_name: str | None = None - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - def mixin_set_up(self) -> None: - super().mixin_set_up() - assert self.database is not None, ( - "PostgresTestCase or DuckDbTestCase should" - " be added (or moved left in the super class list)" - ) - self.engine = create_db_engine( - self.database.dsn(self.database_name), - schema_name=self.schema_name, - use_asyncio=self.use_asyncio, - ) - self.sync_engine = get_sync_engine(self.engine) - self.metadata = MetaData() - self.metadata.reflect(self.sync_engine) - - @property - def dsn(self) -> str: - """Get the database connection string.""" - assert self.database is not None - return self.database.dsn(self.database_name) - - class TestPostgres(TestDatabaseBase): """Postgres test database.""" Postgresql = None + @classmethod + def skip(cls) -> str | None: + if shutil.which("psql"): + return None + return "need to find 'psql': install PostgreSQL to enable" + @classmethod def setup(cls) -> None: + """Set up the test database.""" cls.Postgresql = testing.postgresql.PostgresqlFactory(cache_initialized_db=True) - def __init__(self): + def __init__(self) -> None: + """Initialize the test database.""" + if self.Postgresql is None: + self.setup() super().__init__() + self.postgresql: Any = None self.open() def open(self) -> None: """Start the test database""" + assert self.Postgresql is not None self.postgresql = self.Postgresql() # pylint: disable=not-callable def close(self) -> None: @@ -215,7 +127,7 @@ def final(cls) -> None: if cls.Postgresql is not None: cls.Postgresql.clear_cache() - def dsn(self, database_name: str | None) -> str: + def get_dsn(self, database_name: str | None) -> str: """Get the DSN for the test database.""" if database_name: url = self.postgresql.url(database=database_name) @@ -249,31 +161,6 @@ def run_sql(self, sql_file: Path) -> None: assert completed_process.stderr == b"", completed_process.stderr -@skipUnless(shutil.which("psql"), "need to find 'psql': install PostgreSQL to enable") -class PostgresTestCase(TestCase): - """Postgres database test case.""" - - @classmethod - def setUpClass(cls) -> None: - TestPostgres.setup() - super().setUpClass() - - @classmethod - def tearDownClass(cls) -> None: - TestPostgres.final() - - def setUp(self) -> None: - super().setUp() - self.database = TestPostgres() - if self.dump_file_path is not None: - self.database.run_sql(Path(self.examples_dir) / Path(self.dump_file_path)) - self.mixin_set_up() - - def tearDown(self) -> None: - self.database.close() - super().tearDown() - - class TestDuckDb(TestDatabaseBase): """Test DuckDB database.""" @@ -285,8 +172,14 @@ class TestDuckDb(TestDatabaseBase): r"'([A-Z][a-z]+ \d+ \d\d:\d\d:\d\d \d\d\d\d) ([A-Z+\-0-9:]+)'" ) - def __init__(self, *args, **kwargs): - """Initialize DuckDbTestCase""" + @classmethod + def skip(cls) -> str | None: + if shutil.which("duckdb"): + return None + return "need to find 'duckdb': install DuckDB to enable" + + def __init__(self, *args: Any, **kwargs: Any) -> None: + """Initialize TestDuckDb""" super().__init__(*args, **kwargs) self._duckdb_con: Any = None self._db_dir = Path(mkdtemp("duck")) @@ -312,7 +205,7 @@ def close(self) -> None: self._duckdb_con.close() self._duckdb_con = None - def dsn(self, _database_name: str | None) -> str: + def get_dsn(self, _database_name: str | None) -> str: """Get the DSN for the test database.""" return f"duckdb:///{self._db_path}" @@ -338,25 +231,142 @@ def run_sql(self, sql_file: Path) -> None: duckdb_con.close() -@skipUnless(shutil.which("duckdb"), "install DuckDB to enable") -class DuckDbTestCase(TestCase): - """DuckDb database test case.""" +class DatafakerTestCase(TestCase): + """Parent class for all TestCases in datafaker.""" + + schema_name: str | None = None + use_asyncio = False + examples_dir = Path("tests/examples") + dump_file_path: str | None = None + database_name: str | None = None + + def assertReturnCode( # pylint: disable=invalid-name + self, result: Any, expected_code: int + ) -> None: + """Give details for a subprocess result and raise if it's not as expected.""" + code = result.exit_code if hasattr(result, "exit_code") else result.returncode + if code != expected_code: + print(result.stdout) + print(result.stderr) + self.assertEqual(expected_code, code) + + def assertSuccess(self, result: Any) -> None: # pylint: disable=invalid-name + """Give details for a subprocess result and raise if the result isn't good.""" + self.assertReturnCode(result, 0) + + def assertFailure(self, result: Any) -> None: # pylint: disable=invalid-name + """Give details for a subprocess result and raise if the result isn't bad.""" + self.assertReturnCode(result, 1) + + # pylint: disable=invalid-name + def assertNoException(self, result: Any) -> None: + """Assert that the result has no exception.""" + assert hasattr(result, "exception") + if result.exception is None: + return + self.fail("".join(traceback.format_exception(result.exception))) + + def assert_greater_and_not_none(self, left: float | None, right: float) -> None: + """ + Assert left is not None and greater than right + """ + if left is None: + self.fail("first argument is None") + else: + self.assertGreater(left, right) + + def assert_subset(self, set1: set[T], set2: set[T], msg: str | None = None) -> None: + """Assert a set is a (non-strict) subset. + + :param set1: The asserted subset. + :param set2: The asserted superset. + :param msg: Optional message to use on failure instead of a list of + differences. + """ + try: + difference = set1.difference(set2) + except TypeError as e: + self.fail(f"invalid type when attempting set difference: {e}") + except AttributeError as e: + self.fail(f"first argument does not support set difference: {e}") + + if not difference: + return + + lines = [] + if difference: + lines.append("Items in the first set but not the second:") + for item in difference: + lines.append(repr(item)) + + standard_msg = "\n".join(lines) + self.fail(self._formatMessage(msg, standard_msg)) + + +class RequiresDBTestCase(DatafakerTestCase): + """ + A test case that only runs if PostgreSQL is installed. + A test postgres is installed + dump_file_path can be set to run in this postgres database. + database_name is the name of the database referred to in dump_file_path. + You can use ``self.dsn`` to retrieve the DSN of this database, ``self.engine`` + to get an engine to access the database and self.metadata to get metadata + reflected from that engine. + """ + + database_type: type[TestDatabaseBase] = TestPostgres + + @classmethod + def setUpClass(cls) -> None: + super().setUpClass() + skip_msg = cls.database_type.skip() + if skip_msg: + raise SkipTest(skip_msg) + cls.database_type.setup() + + @classmethod + def tearDownClass(cls) -> None: + cls.database_type.final() + super().tearDownClass() + + def __init__(self, *args: Any, **kwargs: Any) -> None: + """Initialise RequiresDBTestCase.""" + super().__init__(*args, **kwargs) + self.database: TestDatabaseBase | None = None + self.metadata = MetaData() + self.engine: MaybeAsyncEngine + self.sync_engine: Engine def setUp(self) -> None: + settings.get_settings.cache_clear() super().setUp() if self.database is None: - self.database = TestDuckDb() - self.database.open() + self.database = self.database_type() + else: + self.database.open() if self.dump_file_path is not None: self.database.run_sql(Path(self.examples_dir) / Path(self.dump_file_path)) - self.mixin_set_up() + self.engine = create_db_engine( + self.database.get_dsn(self.database_name), + schema_name=self.schema_name, + use_asyncio=self.use_asyncio, + ) + self.sync_engine = get_sync_engine(self.engine) + self.metadata.reflect(self.sync_engine) def tearDown(self) -> None: + assert self.database is not None self.database.close() super().tearDown() + @property + def dsn(self) -> str: + """Get the database connection string.""" + assert self.database is not None + return self.database.get_dsn(self.database_name) -class GeneratesDBTestMixin(RequiresDbTestMixin): + +class GeneratesDBTestCase(RequiresDBTestCase): """A test case for which a database is generated.""" def __init__(self, *args: Any, **kwargs: Any) -> None: @@ -489,15 +499,3 @@ def columnize(self, items: Sequence[str] | None, _displaywidth: int = 80) -> Non def ask_save(self) -> str: """Quitting always works without needing to ask the user.""" return "yes" - - -class DatafakerTestCase(DatafakerTestMixin, TestCase): - """Basic test case.""" - - -class RequiresDBTestCase(RequiresDbTestMixin, PostgresTestCase): - """PostgreSQL database test case.""" - - -class GeneratesDBTestCase(GeneratesDBTestMixin, PostgresTestCase): - """PostgreSQL database generation test case.""" From 1896db03a205c27b033cec5a49f5cad6f7573996 Mon Sep 17 00:00:00 2001 From: Tim Band Date: Thu, 8 Jan 2026 18:41:53 +0000 Subject: [PATCH 15/15] A couple more tests for DuckDB --- tests/test_functional.py | 36 +++++++++++++++++++--------- tests/test_interactive_generators.py | 24 ++++++++++++------- 2 files changed, 41 insertions(+), 19 deletions(-) diff --git a/tests/test_functional.py b/tests/test_functional.py index 4315db2..370b3cd 100644 --- a/tests/test_functional.py +++ b/tests/test_functional.py @@ -9,30 +9,22 @@ from typer.testing import CliRunner, Result from datafaker.main import app -from tests.utils import RequiresDBTestCase +from tests.utils import RequiresDBTestCase, TestDuckDb # pylint: disable=subprocess-run-check -class DBFunctionalTestCase(RequiresDBTestCase): - """End-to-end tests that require a database.""" - - dump_file_path = "src.dump" - database_name = "src" - schema_name = "public" +class DBFunctionalTestCaseBase(RequiresDBTestCase): + """Base class for test that call the CLI and require a database.""" examples_dir = Path("tests/examples") orm_file_path = Path("orm.yaml") datafaker_file_path = Path("df.py") - alt_orm_file_path = Path("my_orm.yaml") - alt_datafaker_file_path = Path("my_df.py") - generator_file_paths = tuple( map(Path, ("story_generators.py", "row_generators.py")), ) - # dump_file_path = Path("dst.dump") config_file_path = Path("example_config2.yaml") stats_file_path = Path("example_stats.yaml") @@ -75,6 +67,17 @@ def assert_silent_success(self, completed_process: Result) -> None: self.assertEqual(completed_process.stderr, "") self.assertEqual(completed_process.stdout, "") + +class DBFunctionalTestCase(DBFunctionalTestCaseBase): + """End-to-end tests that require a database.""" + + dump_file_path = "src.dump" + database_name = "src" + schema_name = "public" + + alt_orm_file_path = Path("my_orm.yaml") + alt_datafaker_file_path = Path("my_df.py") + def test_workflow_minimal_args(self) -> None: """Test the recommended CLI workflow runs without errors.""" shutil.copy(self.config_file_path, "config.yaml") @@ -597,3 +600,14 @@ def test_create_schema(self) -> None: engine = create_engine(self.env["dst_dsn"]) inspector = inspect(engine) self.assertTrue(inspector.has_schema(env["dst_schema"])) + + +class DuckDbFunctionalTestCase(DBFunctionalTestCaseBase): + """End-to-end tests for the DuckDB workflow.""" + + dump_file_path = "instrument.sql" + database_name = "instrument" + schema_name = "public" + + database_type = TestDuckDb + diff --git a/tests/test_interactive_generators.py b/tests/test_interactive_generators.py index 104f0d3..a9c78cf 100644 --- a/tests/test_interactive_generators.py +++ b/tests/test_interactive_generators.py @@ -8,7 +8,7 @@ from datafaker.generators.choice import ChoiceGeneratorFactory from datafaker.interactive.generators import GeneratorCmd -from tests.utils import GeneratesDBTestCase, RequiresDBTestCase, TestDbCmdMixin +from tests.utils import GeneratesDBTestCase, RequiresDBTestCase, TestDbCmdMixin, TestDuckDb class TestGeneratorCmd(GeneratorCmd, TestDbCmdMixin): @@ -737,6 +737,11 @@ def test_create_with_weighted_choice(self) -> None: self.assertSetEqual(stats.threes, {1, 2, 3, 4, 5}) +class GeneratorsOutputTestsDuckDb(GeneratorsOutputTests): + """As ``GeneratorsOutputTests`` but with DuckDB.""" + database_type = TestDuckDb + + class GeneratorTests(GeneratesDBTestCase): """Testing configure-generators with generation.""" @@ -753,19 +758,14 @@ def test_set_null(self) -> None: with self._get_cmd({}) as gc: gc.do_next("string.position") gc.do_set("dist_gen.constant") - self.assertListEqual(gc.messages, []) - gc.reset() gc.do_next("string.frequency") gc.do_set("dist_gen.constant") - self.assertListEqual(gc.messages, []) - gc.reset() gc.do_next("signature_model.name") gc.do_set("dist_gen.constant") - self.assertListEqual(gc.messages, []) - gc.reset() gc.do_next("signature_model.based_on") gc.do_set("dist_gen.constant") - # we have got to the end of the columns, but shouldn't have any errors + # We should have got no errors, but one of these will have been + # the last table and so would have produced the "no more tables" error self.assertListEqual( gc.messages, [(GeneratorCmd.INFO_NO_MORE_TABLES, (), {})] ) @@ -836,6 +836,9 @@ def assert_are_truncated_to(self, xs: Iterable[str], length: int) -> None: def test_varchar_ns_are_truncated(self) -> None: """Tests that mimesis generators for VARCHAR(N) truncate to N characters""" + if self.database_type is TestDuckDb: + # DuckDB does not support limited width VARCHARs + return generator = "generic.text.quote" table = "signature_model" column = "name" @@ -861,3 +864,8 @@ def test_varchar_ns_are_truncated(self) -> None: stmt = select(self.metadata.tables[table].c[column]) rows = conn.execute(stmt).scalars().fetchall() self.assert_are_truncated_to(rows, 20) + + +class GeneratorTestsDuckDb(GeneratorTests): + """As ``GeneratorTests`` but with DuckDB.""" + database_type = TestDuckDb