From be5602a581faed458267da93b31c2f4172e39dca Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Wed, 20 May 2026 20:10:28 +0000 Subject: [PATCH 01/22] feat: add more scalar array functions to `bigframes.bigquery` --- .../bigframes/bigframes/bigquery/__init__.py | 70 ++- .../bigframes/bigquery/_operations/array.py | 62 --- .../_operations/global_namespace/array.py | 423 ++++++++++++++++++ .../sql-functions/global_namespace/array.yaml | 286 ++++++++++++ .../scripts/generate_bigframes_bigquery.py | 5 +- .../scripts/templates/operation.py.j2 | 2 +- .../snapshots/test_array/test_concat/out.sql | 4 + .../snapshots/test_array/test_first_n/out.sql | 4 + .../test_array/test_generate_array/out.sql | 4 + .../test_array/test_includes/out.sql | 4 + .../test_array/test_includes_all/out.sql | 4 + .../test_array/test_includes_any/out.sql | 4 + .../snapshots/test_array/test_slice/out.sql | 4 + .../test_array/test_to_string/out.sql | 4 + .../global_namespace/test_array.py | 150 +++++++ 15 files changed, 961 insertions(+), 69 deletions(-) create mode 100644 packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py create mode 100644 packages/bigframes/scripts/data/sql-functions/global_namespace/array.yaml create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_concat/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_first_n/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_generate_array/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_all/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_any/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_slice/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_to_string/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py diff --git a/packages/bigframes/bigframes/bigquery/__init__.py b/packages/bigframes/bigframes/bigquery/__init__.py index 86a45546b748..e77c14fd222d 100644 --- a/packages/bigframes/bigframes/bigquery/__init__.py +++ b/packages/bigframes/bigframes/bigquery/__init__.py @@ -49,11 +49,7 @@ from bigframes.bigquery import aead, ai, ml, obj from bigframes.bigquery._operations.approx_agg import approx_top_count -from bigframes.bigquery._operations.array import ( - array_agg, - array_length, - array_to_string, -) +from bigframes.bigquery._operations.array import array_agg from bigframes.bigquery._operations.datetime import ( unix_micros, unix_millis, @@ -72,6 +68,46 @@ st_regionstats, st_simplify, ) +from bigframes.bigquery._operations.global_namespace.array import ( + concat as array_concat, +) +from bigframes.bigquery._operations.global_namespace.array import ( + first as array_first, +) +from bigframes.bigquery._operations.global_namespace.array import ( + first_n as array_first_n, +) +from bigframes.bigquery._operations.global_namespace.array import ( + flatten, + generate_array, +) +from bigframes.bigquery._operations.global_namespace.array import ( + includes as array_includes, +) +from bigframes.bigquery._operations.global_namespace.array import ( + includes_all as array_includes_all, +) +from bigframes.bigquery._operations.global_namespace.array import ( + includes_any as array_includes_any, +) +from bigframes.bigquery._operations.global_namespace.array import ( + is_distinct as array_is_distinct, +) +from bigframes.bigquery._operations.global_namespace.array import ( + last as array_last, +) +from bigframes.bigquery._operations.global_namespace.array import ( + length as array_length, +) +from bigframes.bigquery._operations.global_namespace.array import ( + reverse as array_reverse, +) +from bigframes.bigquery._operations.global_namespace.array import ( + slice as array_slice, +) +from bigframes.bigquery._operations.global_namespace.array import ( + to_string as array_to_string, +) from bigframes.bigquery._operations.io import load_data from bigframes.bigquery._operations.json import ( json_extract, @@ -103,8 +139,20 @@ approx_top_count, # array ops array_agg, + array_concat, + array_first, + array_first_n, + array_includes, + array_includes_all, + array_includes_any, + array_is_distinct, + array_last, array_length, + array_reverse, + array_slice, array_to_string, + flatten, + generate_array, # datetime ops unix_micros, unix_millis, @@ -161,8 +209,20 @@ "approx_top_count", # array ops "array_agg", + "array_concat", + "array_first", + "array_first_n", + "array_includes", + "array_includes_all", + "array_includes_any", + "array_is_distinct", + "array_last", "array_length", + "array_reverse", + "array_slice", "array_to_string", + "flatten", + "generate_array", # datetime ops "unix_micros", "unix_millis", diff --git a/packages/bigframes/bigframes/bigquery/_operations/array.py b/packages/bigframes/bigframes/bigquery/_operations/array.py index 9eb83665daa9..7cc414879a87 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/array.py +++ b/packages/bigframes/bigframes/bigquery/_operations/array.py @@ -32,40 +32,6 @@ import bigframes.dataframe as dataframe -def array_length(series: series.Series) -> series.Series: - """Compute the length of each array element in the Series. - - **Examples:** - - >>> import bigframes.pandas as bpd - >>> import bigframes.bigquery as bbq - - >>> s = bpd.Series([[1, 2, 8, 3], [], [3, 4]]) - >>> bbq.array_length(s) - 0 4 - 1 0 - 2 2 - dtype: Int64 - - You can also apply this function directly to Series. - - >>> s.apply(bbq.array_length, by_row=False) - 0 4 - 1 0 - 2 2 - dtype: Int64 - - Args: - series (bigframes.series.Series): A Series with array columns. - - Returns: - bigframes.series.Series: A Series of integer values indicating - the length of each element in the Series. - - """ - return series._apply_unary_op(ops.len_op) - - def array_agg( obj: groupby.SeriesGroupBy | groupby.DataFrameGroupBy, ) -> series.Series | dataframe.DataFrame: @@ -115,31 +81,3 @@ def array_agg( raise ValueError( f"Unsupported type {type(obj)} to apply `array_agg` function. {constants.FEEDBACK_LINK}" ) - - -def array_to_string(series: series.Series, delimiter: str) -> series.Series: - """Converts array elements within a Series into delimited strings. - - **Examples:** - - >>> import bigframes.pandas as bpd - >>> import bigframes.bigquery as bbq - - >>> s = bpd.Series([["H", "i", "!"], ["Hello", "World"], np.nan, [], ["Hi"]]) - >>> bbq.array_to_string(s, delimiter=", ") - 0 H, i, ! - 1 Hello, World - 2 - 3 - 4 Hi - dtype: string - - Args: - series (bigframes.series.Series): A Series containing arrays. - delimiter (str): The string used to separate array elements. - - Returns: - bigframes.series.Series: A Series containing delimited strings. - - """ - return series._apply_unary_op(ops.ArrayToStringOp(delimiter=delimiter)) diff --git a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py new file mode 100644 index 000000000000..a8fca6945d56 --- /dev/null +++ b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py @@ -0,0 +1,423 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# DO NOT MODIFY THIS FILE DIRECTLY. +# This file was generated from: scripts/data/sql-functions/global_namespace/array.yaml +# by the script: scripts/generate_bigframes_bigquery.py + +from __future__ import annotations + +import datetime +from typing import Any, Literal, Optional, TypeVar, Union + +import bigframes.bigquery._googlesql +import bigframes.core.col +import bigframes.core.expression as ex +import bigframes.core.sentinels as sentinels +import bigframes.operations as ops +import bigframes.series as series +from bigframes import dtypes +from bigframes.operations import googlesql + +T = TypeVar("T", series.Series, bigframes.core.col.Expression) + +_CONCAT_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_CONCAT", + args=(googlesql.ArgSpec(), googlesql.ArgSpec()), + signature=lambda *args: None, +) +_FIRST_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_FIRST", + args=(googlesql.ArgSpec()), + signature=lambda *args: None, +) +_FIRST_N_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_FIRST_N", + args=(googlesql.ArgSpec(), googlesql.ArgSpec()), + signature=lambda *args: None, +) +_INCLUDES_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_INCLUDES", + args=(googlesql.ArgSpec(), googlesql.ArgSpec()), + signature=lambda *args: None, +) +_INCLUDES_ALL_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_INCLUDES_ALL", + args=(googlesql.ArgSpec(), googlesql.ArgSpec()), + signature=lambda *args: None, +) +_INCLUDES_ANY_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_INCLUDES_ANY", + args=(googlesql.ArgSpec(), googlesql.ArgSpec()), + signature=lambda *args: None, +) +_IS_DISTINCT_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_IS_DISTINCT", + args=(googlesql.ArgSpec()), + signature=lambda *args: None, +) +_LAST_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_LAST", + args=(googlesql.ArgSpec()), + signature=lambda *args: None, +) +_LENGTH_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_LENGTH", + args=(googlesql.ArgSpec()), + signature=lambda *args: None, +) +_REVERSE_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_REVERSE", + args=(googlesql.ArgSpec()), + signature=lambda *args: None, +) +_SLICE_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_SLICE", + args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec()), + signature=lambda *args: None, +) +_TO_STRING_OP = googlesql.GoogleSqlScalarOp( + "ARRAY_TO_STRING", + args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec(optional=True)), + signature=lambda *args: None, +) +_FLATTEN_OP = googlesql.GoogleSqlScalarOp( + "FLATTEN", + args=(googlesql.ArgSpec(), googlesql.ArgSpec(arg_name="depth", optional=True)), + signature=lambda *args: None, +) +_GENERATE_ARRAY_OP = googlesql.GoogleSqlScalarOp( + "GENERATE_ARRAY", + args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec(optional=True)), + signature=lambda *args: None, +) + + +def concat( + array_expression_1: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + array_expression_2: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Concatenates one or more arrays with the same element type into a single array.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _CONCAT_OP, + array_expression_1, + array_expression_2, + ) # type: ignore + + +def first( + array_expression: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Takes an array and returns the first element in the array.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _FIRST_OP, + array_expression, + ) # type: ignore + + +def first_n( + input_array: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + n: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Returns a prefix of `input_array` consisting of the first `n` elements.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _FIRST_N_OP, + input_array, + n, + ) # type: ignore + + +def includes( + array_to_search: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + search_value: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Takes an array and returns `TRUE` if there is an element in the array that is equal to the search_value.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _INCLUDES_OP, + array_to_search, + search_value, + ) # type: ignore + + +def includes_all( + array_to_search: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + search_values: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Takes an array to search and an array of search values. Returns `TRUE` if all search values are in the array to search, otherwise returns `FALSE`.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _INCLUDES_ALL_OP, + array_to_search, + search_values, + ) # type: ignore + + +def includes_any( + array_to_search: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + search_values: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Takes an array to search and an array of search values. Returns `TRUE` if any search values are in the array to search, otherwise returns `FALSE`.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _INCLUDES_ANY_OP, + array_to_search, + search_values, + ) # type: ignore + + +def is_distinct( + array_expression: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Returns `TRUE` if the array contains no repeated elements, using the same equality comparison logic as `SELECT DISTINCT`.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _IS_DISTINCT_OP, + array_expression, + ) # type: ignore + + +def last( + array_expression: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Takes an array and returns the last element in the array.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _LAST_OP, + array_expression, + ) # type: ignore + + +def length( + series: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Compute the length of each array element in the Series. + + **Examples:** + + >>> import bigframes.pandas as bpd + >>> import bigframes.bigquery as bbq + + >>> s = bpd.Series([[1, 2, 8, 3], [], [3, 4]]) + >>> bbq.array_length(s) + 0 4 + 1 0 + 2 2 + dtype: Int64 + + You can also apply this function directly to Series. + + >>> s.apply(bbq.array_length, by_row=False) + 0 4 + 1 0 + 2 2 + dtype: Int64 + + Args: + series (bigframes.series.Series): A Series with array columns. + + Returns: + bigframes.series.Series: A Series of integer values indicating + the length of each element in the Series. + """ + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _LENGTH_OP, + series, + ) # type: ignore + + +def reverse( + value: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Returns the input `ARRAY` with elements in reverse order.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _REVERSE_OP, + value, + ) # type: ignore + + +def slice( + array_to_slice: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + start_offset: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + end_offset: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], +) -> T: + """Returns an array containing zero or more consecutive elements from the input array.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _SLICE_OP, + array_to_slice, + start_offset, + end_offset, + ) # type: ignore + + +def to_string( + series: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + delimiter: Union[ + T, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ], + null_text: Union[ + T, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ] = sentinels.Sentinel.ARGUMENT_DEFAULT, +) -> T: + """Converts array elements within a Series into delimited strings. + + **Examples:** + + >>> import bigframes.pandas as bpd + >>> import bigframes.bigquery as bbq + + >>> s = bpd.Series([["H", "i", "!"], ["Hello", "World"], np.nan, [], ["Hi"]]) + >>> bbq.array_to_string(s, delimiter=", ") + 0 H, i, ! + 1 Hello, World + 2 + 3 + 4 Hi + dtype: string + + Args: + series (bigframes.series.Series): A Series containing arrays. + delimiter (str): The string used to separate array elements. + null_text (str, optional): The string to replace any NULL values in the array with. + + Returns: + bigframes.series.Series: A Series containing delimited strings. + """ + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _TO_STRING_OP, + series, + delimiter, + null_text, + ) # type: ignore + + +def flatten( + array_to_flatten: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + depth: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ] = sentinels.Sentinel.ARGUMENT_DEFAULT, +) -> T: + """Takes an array of nested data and flattens a specific part of it into a single, flat array with the [array elements field access operator][array-el-field-operator]. Returns `NULL` if the input value is `NULL`.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _FLATTEN_OP, + array_to_flatten, + depth, + ) # type: ignore + + +def generate_array( + start_expression: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + end_expression: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + step_expression: Union[ + T, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ] = sentinels.Sentinel.ARGUMENT_DEFAULT, +) -> T: + """Returns an array of values. The `start_expression` and `end_expression` parameters determine the inclusive start and end of the array.""" + return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + _GENERATE_ARRAY_OP, + start_expression, + end_expression, + step_expression, + ) # type: ignore diff --git a/packages/bigframes/scripts/data/sql-functions/global_namespace/array.yaml b/packages/bigframes/scripts/data/sql-functions/global_namespace/array.yaml new file mode 100644 index 000000000000..a7d01a9143ce --- /dev/null +++ b/packages/bigframes/scripts/data/sql-functions/global_namespace/array.yaml @@ -0,0 +1,286 @@ +urn: extension:google:bq_scalar_functions +scalar_functions: + - name: "array_concat" + description: "Concatenates one or more arrays with the same element type into a single array." + impls: + # Signature: array_concat:list_list + - args: + - name: "array_expression_1" + value: list + optional: false + keyword_only: false + - name: "array_expression_2" + value: list + optional: false + keyword_only: false + return: list + - name: "array_first" + description: "Takes an array and returns the first element in the array." + impls: + # Signature: array_first:list + - args: + - name: "array_expression" + value: list + optional: false + keyword_only: false + return: any1 + - name: "array_first_n" + description: "Returns a prefix of `input_array` consisting of the first `n` elements." + impls: + # Signature: array_first_n:list_i64 + - args: + - name: "input_array" + value: list + optional: false + keyword_only: false + - name: "n" + value: i64 + optional: false + keyword_only: false + return: list + - name: "array_includes" + description: "Takes an array and returns `TRUE` if there is an element in the array that is equal to the search_value." + impls: + # Signature: array_includes:list_any + - args: + - name: "array_to_search" + value: list + optional: false + keyword_only: false + - name: "search_value" + value: any1 + optional: false + keyword_only: false + return: boolean + - name: "array_includes_all" + description: "Takes an array to search and an array of search values. Returns `TRUE` if all search values are in the array to search, otherwise returns `FALSE`." + impls: + # Signature: array_includes_all:list_list + - args: + - name: "array_to_search" + value: list + optional: false + keyword_only: false + - name: "search_values" + value: list + optional: false + keyword_only: false + return: boolean + - name: "array_includes_any" + description: "Takes an array to search and an array of search values. Returns `TRUE` if any search values are in the array to search, otherwise returns `FALSE`." + impls: + # Signature: array_includes_any:list_list + - args: + - name: "array_to_search" + value: list + optional: false + keyword_only: false + - name: "search_values" + value: list + optional: false + keyword_only: false + return: boolean + - name: "array_is_distinct" + description: "Returns `TRUE` if the array contains no repeated elements, using the same equality comparison logic as `SELECT DISTINCT`." + impls: + # Signature: array_is_distinct:list + - args: + - name: "array_expression" + value: list + optional: false + keyword_only: false + return: boolean + - name: "array_last" + description: "Takes an array and returns the last element in the array." + impls: + # Signature: array_last:list + - args: + - name: "array_expression" + value: list + optional: false + keyword_only: false + return: any1 + - name: "array_length" + description: | + Compute the length of each array element in the Series. + + **Examples:** + + >>> import bigframes.pandas as bpd + >>> import bigframes.bigquery as bbq + + >>> s = bpd.Series([[1, 2, 8, 3], [], [3, 4]]) + >>> bbq.array_length(s) + 0 4 + 1 0 + 2 2 + dtype: Int64 + + You can also apply this function directly to Series. + + >>> s.apply(bbq.array_length, by_row=False) + 0 4 + 1 0 + 2 2 + dtype: Int64 + + Args: + series (bigframes.series.Series): A Series with array columns. + + Returns: + bigframes.series.Series: A Series of integer values indicating + the length of each element in the Series. + impls: + # Signature: array_length:list + - args: + - name: "series" + value: list + optional: false + keyword_only: false + return: i64 + - name: "array_reverse" + description: "Returns the input `ARRAY` with elements in reverse order." + impls: + # Signature: array_reverse:list + - args: + - name: "value" + value: list + optional: false + keyword_only: false + return: list + - name: "array_slice" + description: "Returns an array containing zero or more consecutive elements from the input array." + impls: + # Signature: array_slice:list_i64_i64 + - args: + - name: "array_to_slice" + value: list + optional: false + keyword_only: false + - name: "start_offset" + value: i64 + optional: false + keyword_only: false + - name: "end_offset" + value: i64 + optional: false + keyword_only: false + return: list + - name: "array_to_string" + description: | + Converts array elements within a Series into delimited strings. + + **Examples:** + + >>> import bigframes.pandas as bpd + >>> import bigframes.bigquery as bbq + + >>> s = bpd.Series([["H", "i", "!"], ["Hello", "World"], np.nan, [], ["Hi"]]) + >>> bbq.array_to_string(s, delimiter=", ") + 0 H, i, ! + 1 Hello, World + 2 + 3 + 4 Hi + dtype: string + + Args: + series (bigframes.series.Series): A Series containing arrays. + delimiter (str): The string used to separate array elements. + null_text (str, optional): The string to replace any NULL values in the array with. + + Returns: + bigframes.series.Series: A Series containing delimited strings. + impls: + # Signature: array_to_string:list_str_str + - args: + - name: "series" + value: list + optional: false + keyword_only: false + - name: "delimiter" + value: string + optional: false + keyword_only: false + - name: "null_text" + value: string + optional: true + keyword_only: false + return: string + # Signature: array_to_string:list_vbin_vbin + - args: + - name: "series" + value: list + optional: false + keyword_only: false + - name: "delimiter" + value: binary + optional: false + keyword_only: false + - name: "null_text" + value: binary + optional: true + keyword_only: false + return: binary + - name: "flatten" + description: "Takes an array of nested data and flattens a specific part of it into a single, flat array with the [array elements field access operator][array-el-field-operator]. Returns `NULL` if the input value is `NULL`." + impls: + # Signature: flatten:list_i64 + - args: + - name: "array_to_flatten" + value: list + optional: false + keyword_only: false + - name: "depth" + value: i64 + optional: true + keyword_only: true + return: list + - name: "generate_array" + description: "Returns an array of values. The `start_expression` and `end_expression` parameters determine the inclusive start and end of the array." + impls: + # Signature: generate_array:i64_i64_i64 + - args: + - name: "start_expression" + value: i64 + optional: false + keyword_only: false + - name: "end_expression" + value: i64 + optional: false + keyword_only: false + - name: "step_expression" + value: i64 + optional: true + keyword_only: false + return: list + # Signature: generate_array:dec_dec_dec + - args: + - name: "start_expression" + value: decimal<38,9> + optional: false + keyword_only: false + - name: "end_expression" + value: decimal<38,9> + optional: false + keyword_only: false + - name: "step_expression" + value: decimal<38,9> + optional: true + keyword_only: false + return: list> + # Signature: generate_array:fp64_fp64_fp64 + - args: + - name: "start_expression" + value: fp64 + optional: false + keyword_only: false + - name: "end_expression" + value: fp64 + optional: false + keyword_only: false + - name: "step_expression" + value: fp64 + optional: true + keyword_only: false + return: list diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index 4cd98bddbf21..b19fc772cddf 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -211,6 +211,9 @@ def parse_scalar_functions(data, module_name): # Build ArgSpecs arg_specs = _build_arg_specs(args_by_name, arg_order) + arg_specs_str = ", ".join(arg_specs) + if len(arg_specs) == 1: + arg_specs_str += "," # Determine return dtype signature = _get_return_signature(func_data["impls"]) @@ -219,7 +222,7 @@ def parse_scalar_functions(data, module_name): { "internal_name": internal_op_name, "sql_name": sql_name.upper(), - "arg_specs": ", ".join(arg_specs), + "arg_specs": arg_specs_str, "signature": signature, } ) diff --git a/packages/bigframes/scripts/templates/operation.py.j2 b/packages/bigframes/scripts/templates/operation.py.j2 index 7e7c7f95b62f..ca428cde51b3 100644 --- a/packages/bigframes/scripts/templates/operation.py.j2 +++ b/packages/bigframes/scripts/templates/operation.py.j2 @@ -36,7 +36,7 @@ def {{ func.name }}( {{ arg.name }}: Union[T, bigframes.core.col.Expression, {{ arg.type_hint }}]{% if arg.default %} = {{ arg.default }}{% endif %}, {% endfor %} ) -> T: - """{{ func.description }}""" + """{{ func.description | indent(4) }}""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( {{ func.op_name }}, {% for arg in func.args %} diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_concat/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_concat/out.sql new file mode 100644 index 000000000000..b1d41e97159f --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_concat/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_CONCAT(`string_col`, `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_first_n/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_first_n/out.sql new file mode 100644 index 000000000000..6ab58dbb41b6 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_first_n/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_FIRST_N(`string_col`, `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_generate_array/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_generate_array/out.sql new file mode 100644 index 000000000000..59a312ce9316 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_generate_array/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + GENERATE_ARRAY(`string_col`, `string_col`, `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes/out.sql new file mode 100644 index 000000000000..8690d4f27331 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_INCLUDES(`string_col`, `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_all/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_all/out.sql new file mode 100644 index 000000000000..2168da4ae6e3 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_all/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_INCLUDES_ALL(`string_col`, `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_any/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_any/out.sql new file mode 100644 index 000000000000..4f02b174612a --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_any/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_INCLUDES_ANY(`string_col`, `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_slice/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_slice/out.sql new file mode 100644 index 000000000000..92c324949325 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_slice/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_SLICE(`string_col`, `string_col`, `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_to_string/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_to_string/out.sql new file mode 100644 index 000000000000..ec65429215aa --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_to_string/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_TO_STRING(`string_col`, `bytes_col`, `bytes_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py new file mode 100644 index 000000000000..77acfa96abb1 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py @@ -0,0 +1,150 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# DO NOT MODIFY THIS FILE DIRECTLY. +# This file was generated from: scripts/data/sql-functions/global_namespace/array.yaml +# by the script: scripts/generate_bigframes_bigquery.py + +from typing import cast + +import pytest + +import bigframes.bigquery._operations.global_namespace.array as array +import bigframes.pandas as bpd + +pytest.importorskip("pytest_snapshot") + + +def test_concat(scalar_types_df: bpd.DataFrame, snapshot): + result = array.concat( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_first(scalar_types_df: bpd.DataFrame, snapshot): + result = array.first( + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_first_n(scalar_types_df: bpd.DataFrame, snapshot): + result = array.first_n( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_includes(scalar_types_df: bpd.DataFrame, snapshot): + result = array.includes( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_includes_all(scalar_types_df: bpd.DataFrame, snapshot): + result = array.includes_all( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_includes_any(scalar_types_df: bpd.DataFrame, snapshot): + result = array.includes_any( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_is_distinct(scalar_types_df: bpd.DataFrame, snapshot): + result = array.is_distinct( + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_last(scalar_types_df: bpd.DataFrame, snapshot): + result = array.last( + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_length(scalar_types_df: bpd.DataFrame, snapshot): + result = array.length( + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_reverse(scalar_types_df: bpd.DataFrame, snapshot): + result = array.reverse( + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_slice(scalar_types_df: bpd.DataFrame, snapshot): + result = array.slice( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_to_string(scalar_types_df: bpd.DataFrame, snapshot): + result = array.to_string( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_flatten(scalar_types_df: bpd.DataFrame, snapshot): + result = array.flatten( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_generate_array(scalar_types_df: bpd.DataFrame, snapshot): + result = array.generate_array( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") From ac68eb3e1894171ead75ae44bdbec6452e2bd570 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Wed, 20 May 2026 20:27:40 +0000 Subject: [PATCH 02/22] fix generator for global functions --- .../bigframes/bigframes/bigquery/__init__.py | 48 +++-------- .../_operations/global_namespace/array.py | 82 +++++++++---------- .../scripts/generate_bigframes_bigquery.py | 19 +++-- .../out.sql | 0 .../test_array/test_array_first/out.sql | 4 + .../out.sql | 0 .../out.sql | 0 .../out.sql | 0 .../out.sql | 0 .../test_array/test_array_is_distinct/out.sql | 4 + .../test_array/test_array_last/out.sql | 4 + .../test_array/test_array_length/out.sql | 4 + .../test_array/test_array_reverse/out.sql | 4 + .../{test_slice => test_array_slice}/out.sql | 0 .../out.sql | 0 .../snapshots/test_array/test_flatten/out.sql | 4 + .../global_namespace/test_array.py | 48 +++++------ .../bigframes_vendored/sqlglot/expressions.py | 2 +- 18 files changed, 116 insertions(+), 107 deletions(-) rename packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/{test_concat => test_array_concat}/out.sql (100%) create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first/out.sql rename packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/{test_first_n => test_array_first_n}/out.sql (100%) rename packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/{test_includes => test_array_includes}/out.sql (100%) rename packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/{test_includes_all => test_array_includes_all}/out.sql (100%) rename packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/{test_includes_any => test_array_includes_any}/out.sql (100%) create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_last/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_length/out.sql create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_reverse/out.sql rename packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/{test_slice => test_array_slice}/out.sql (100%) rename packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/{test_to_string => test_array_to_string}/out.sql (100%) create mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_flatten/out.sql diff --git a/packages/bigframes/bigframes/bigquery/__init__.py b/packages/bigframes/bigframes/bigquery/__init__.py index e77c14fd222d..1b373e6c0b22 100644 --- a/packages/bigframes/bigframes/bigquery/__init__.py +++ b/packages/bigframes/bigframes/bigquery/__init__.py @@ -69,45 +69,21 @@ st_simplify, ) from bigframes.bigquery._operations.global_namespace.array import ( - concat as array_concat, -) -from bigframes.bigquery._operations.global_namespace.array import ( - first as array_first, -) -from bigframes.bigquery._operations.global_namespace.array import ( - first_n as array_first_n, -) -from bigframes.bigquery._operations.global_namespace.array import ( + array_concat, + array_first, + array_first_n, + array_includes, + array_includes_all, + array_includes_any, + array_is_distinct, + array_last, + array_length, + array_reverse, + array_slice, + array_to_string, flatten, generate_array, ) -from bigframes.bigquery._operations.global_namespace.array import ( - includes as array_includes, -) -from bigframes.bigquery._operations.global_namespace.array import ( - includes_all as array_includes_all, -) -from bigframes.bigquery._operations.global_namespace.array import ( - includes_any as array_includes_any, -) -from bigframes.bigquery._operations.global_namespace.array import ( - is_distinct as array_is_distinct, -) -from bigframes.bigquery._operations.global_namespace.array import ( - last as array_last, -) -from bigframes.bigquery._operations.global_namespace.array import ( - length as array_length, -) -from bigframes.bigquery._operations.global_namespace.array import ( - reverse as array_reverse, -) -from bigframes.bigquery._operations.global_namespace.array import ( - slice as array_slice, -) -from bigframes.bigquery._operations.global_namespace.array import ( - to_string as array_to_string, -) from bigframes.bigquery._operations.io import load_data from bigframes.bigquery._operations.json import ( json_extract, diff --git a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py index a8fca6945d56..c35781f6aa48 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py +++ b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py @@ -32,62 +32,62 @@ T = TypeVar("T", series.Series, bigframes.core.col.Expression) -_CONCAT_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_CONCAT_OP = googlesql.GoogleSqlScalarOp( "ARRAY_CONCAT", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), signature=lambda *args: None, ) -_FIRST_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_FIRST_OP = googlesql.GoogleSqlScalarOp( "ARRAY_FIRST", - args=(googlesql.ArgSpec()), + args=(googlesql.ArgSpec(),), signature=lambda *args: None, ) -_FIRST_N_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_FIRST_N_OP = googlesql.GoogleSqlScalarOp( "ARRAY_FIRST_N", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), signature=lambda *args: None, ) -_INCLUDES_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_INCLUDES_OP = googlesql.GoogleSqlScalarOp( "ARRAY_INCLUDES", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), signature=lambda *args: None, ) -_INCLUDES_ALL_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_INCLUDES_ALL_OP = googlesql.GoogleSqlScalarOp( "ARRAY_INCLUDES_ALL", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), signature=lambda *args: None, ) -_INCLUDES_ANY_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_INCLUDES_ANY_OP = googlesql.GoogleSqlScalarOp( "ARRAY_INCLUDES_ANY", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), signature=lambda *args: None, ) -_IS_DISTINCT_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_IS_DISTINCT_OP = googlesql.GoogleSqlScalarOp( "ARRAY_IS_DISTINCT", - args=(googlesql.ArgSpec()), + args=(googlesql.ArgSpec(),), signature=lambda *args: None, ) -_LAST_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_LAST_OP = googlesql.GoogleSqlScalarOp( "ARRAY_LAST", - args=(googlesql.ArgSpec()), + args=(googlesql.ArgSpec(),), signature=lambda *args: None, ) -_LENGTH_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_LENGTH_OP = googlesql.GoogleSqlScalarOp( "ARRAY_LENGTH", - args=(googlesql.ArgSpec()), + args=(googlesql.ArgSpec(),), signature=lambda *args: None, ) -_REVERSE_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_REVERSE_OP = googlesql.GoogleSqlScalarOp( "ARRAY_REVERSE", - args=(googlesql.ArgSpec()), + args=(googlesql.ArgSpec(),), signature=lambda *args: None, ) -_SLICE_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_SLICE_OP = googlesql.GoogleSqlScalarOp( "ARRAY_SLICE", args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec()), signature=lambda *args: None, ) -_TO_STRING_OP = googlesql.GoogleSqlScalarOp( +_ARRAY_TO_STRING_OP = googlesql.GoogleSqlScalarOp( "ARRAY_TO_STRING", args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec(optional=True)), signature=lambda *args: None, @@ -104,7 +104,7 @@ ) -def concat( +def array_concat( array_expression_1: Union[ T, bigframes.core.col.Expression, @@ -118,13 +118,13 @@ def concat( ) -> T: """Concatenates one or more arrays with the same element type into a single array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _CONCAT_OP, + _ARRAY_CONCAT_OP, array_expression_1, array_expression_2, ) # type: ignore -def first( +def array_first( array_expression: Union[ T, bigframes.core.col.Expression, @@ -133,12 +133,12 @@ def first( ) -> T: """Takes an array and returns the first element in the array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _FIRST_OP, + _ARRAY_FIRST_OP, array_expression, ) # type: ignore -def first_n( +def array_first_n( input_array: Union[ T, bigframes.core.col.Expression, @@ -152,13 +152,13 @@ def first_n( ) -> T: """Returns a prefix of `input_array` consisting of the first `n` elements.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _FIRST_N_OP, + _ARRAY_FIRST_N_OP, input_array, n, ) # type: ignore -def includes( +def array_includes( array_to_search: Union[ T, bigframes.core.col.Expression, @@ -172,13 +172,13 @@ def includes( ) -> T: """Takes an array and returns `TRUE` if there is an element in the array that is equal to the search_value.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _INCLUDES_OP, + _ARRAY_INCLUDES_OP, array_to_search, search_value, ) # type: ignore -def includes_all( +def array_includes_all( array_to_search: Union[ T, bigframes.core.col.Expression, @@ -192,13 +192,13 @@ def includes_all( ) -> T: """Takes an array to search and an array of search values. Returns `TRUE` if all search values are in the array to search, otherwise returns `FALSE`.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _INCLUDES_ALL_OP, + _ARRAY_INCLUDES_ALL_OP, array_to_search, search_values, ) # type: ignore -def includes_any( +def array_includes_any( array_to_search: Union[ T, bigframes.core.col.Expression, @@ -212,13 +212,13 @@ def includes_any( ) -> T: """Takes an array to search and an array of search values. Returns `TRUE` if any search values are in the array to search, otherwise returns `FALSE`.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _INCLUDES_ANY_OP, + _ARRAY_INCLUDES_ANY_OP, array_to_search, search_values, ) # type: ignore -def is_distinct( +def array_is_distinct( array_expression: Union[ T, bigframes.core.col.Expression, @@ -227,12 +227,12 @@ def is_distinct( ) -> T: """Returns `TRUE` if the array contains no repeated elements, using the same equality comparison logic as `SELECT DISTINCT`.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _IS_DISTINCT_OP, + _ARRAY_IS_DISTINCT_OP, array_expression, ) # type: ignore -def last( +def array_last( array_expression: Union[ T, bigframes.core.col.Expression, @@ -241,12 +241,12 @@ def last( ) -> T: """Takes an array and returns the last element in the array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _LAST_OP, + _ARRAY_LAST_OP, array_expression, ) # type: ignore -def length( +def array_length( series: Union[ T, bigframes.core.col.Expression, @@ -283,12 +283,12 @@ def length( the length of each element in the Series. """ return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _LENGTH_OP, + _ARRAY_LENGTH_OP, series, ) # type: ignore -def reverse( +def array_reverse( value: Union[ T, bigframes.core.col.Expression, @@ -297,12 +297,12 @@ def reverse( ) -> T: """Returns the input `ARRAY` with elements in reverse order.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _REVERSE_OP, + _ARRAY_REVERSE_OP, value, ) # type: ignore -def slice( +def array_slice( array_to_slice: Union[ T, bigframes.core.col.Expression, @@ -321,14 +321,14 @@ def slice( ) -> T: """Returns an array containing zero or more consecutive elements from the input array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _SLICE_OP, + _ARRAY_SLICE_OP, array_to_slice, start_offset, end_offset, ) # type: ignore -def to_string( +def array_to_string( series: Union[ T, bigframes.core.col.Expression, @@ -370,7 +370,7 @@ def to_string( bigframes.series.Series: A Series containing delimited strings. """ return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( - _TO_STRING_OP, + _ARRAY_TO_STRING_OP, series, delimiter, null_text, diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index b19fc772cddf..26e073aed062 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -191,7 +191,7 @@ def _get_test_args(args_by_name, arg_order): return test_args -def parse_scalar_functions(data, module_name): +def parse_scalar_functions(data, module_name, is_global=False): ops_list = [] functions_list = [] @@ -201,7 +201,7 @@ def parse_scalar_functions(data, module_name): for func_data in data["scalar_functions"]: sql_name = func_data["name"] python_name = to_snake_case(sql_name) - if python_name.startswith(module_name + "_"): + if not is_global and python_name.startswith(module_name + "_"): python_name = python_name[len(module_name) + 1 :] internal_op_name = f"_{python_name.upper()}_OP" @@ -247,8 +247,11 @@ def parse_scalar_functions(data, module_name): def run_ruff(path: pathlib.Path): + import sys + subprocess.run( - RUFF_ARGS + [sys.executable, "-m", "ruff"] + + RUFF_ARGS[1:] + [ str(path), ], @@ -266,7 +269,10 @@ def process_yaml_file(yaml_file, template, test_template): module_name = module_path.name output_file = OUTPUT_DIR.joinpath(module_path).with_suffix(".py") - ops_list, functions_list = parse_scalar_functions(data, module_name) + is_global = "global_namespace" in module_path.parts + ops_list, functions_list = parse_scalar_functions( + data, module_name, is_global=is_global + ) # Render and write output_file.parent.mkdir(parents=True, exist_ok=True) @@ -302,9 +308,12 @@ def process_yaml_file(yaml_file, template, test_template): run_ruff(test_output_file) print(f" Generated {test_output_file}") - print(f" Updating snapshots for {test_output_file}...") + import sys + subprocess.run( [ + sys.executable, + "-m", "pytest", str(test_output_file), "--snapshot-update", diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_concat/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_concat/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_concat/out.sql rename to packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_concat/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first/out.sql new file mode 100644 index 000000000000..0f3f2beb6e62 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_FIRST(`string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_first_n/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first_n/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_first_n/out.sql rename to packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first_n/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes/out.sql rename to packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_all/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_all/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_all/out.sql rename to packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_all/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_any/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_any/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_includes_any/out.sql rename to packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_any/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql new file mode 100644 index 000000000000..d9357d67c26d --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_IS_DISTINCT(`string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_last/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_last/out.sql new file mode 100644 index 000000000000..174a1ad1f6b1 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_last/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_LAST(`string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_length/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_length/out.sql new file mode 100644 index 000000000000..3bd4e6efaa93 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_length/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_LENGTH(`string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_reverse/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_reverse/out.sql new file mode 100644 index 000000000000..d2a1d8afc81f --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_reverse/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + ARRAY_REVERSE(`string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_slice/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_slice/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_slice/out.sql rename to packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_slice/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_to_string/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_to_string/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_to_string/out.sql rename to packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_to_string/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_flatten/out.sql b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_flatten/out.sql new file mode 100644 index 000000000000..997ee6ba6088 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_flatten/out.sql @@ -0,0 +1,4 @@ +SELECT + `rowindex`, + FLATTEN(`string_col`, depth => `string_col`) AS `0` +FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py index 77acfa96abb1..a5b431dc402d 100644 --- a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py @@ -26,8 +26,8 @@ pytest.importorskip("pytest_snapshot") -def test_concat(scalar_types_df: bpd.DataFrame, snapshot): - result = array.concat( +def test_array_concat(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_concat( cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() @@ -35,16 +35,16 @@ def test_concat(scalar_types_df: bpd.DataFrame, snapshot): snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_first(scalar_types_df: bpd.DataFrame, snapshot): - result = array.first( +def test_array_first(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_first( cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_first_n(scalar_types_df: bpd.DataFrame, snapshot): - result = array.first_n( +def test_array_first_n(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_first_n( cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() @@ -52,8 +52,8 @@ def test_first_n(scalar_types_df: bpd.DataFrame, snapshot): snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_includes(scalar_types_df: bpd.DataFrame, snapshot): - result = array.includes( +def test_array_includes(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_includes( cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() @@ -61,8 +61,8 @@ def test_includes(scalar_types_df: bpd.DataFrame, snapshot): snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_includes_all(scalar_types_df: bpd.DataFrame, snapshot): - result = array.includes_all( +def test_array_includes_all(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_includes_all( cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() @@ -70,8 +70,8 @@ def test_includes_all(scalar_types_df: bpd.DataFrame, snapshot): snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_includes_any(scalar_types_df: bpd.DataFrame, snapshot): - result = array.includes_any( +def test_array_includes_any(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_includes_any( cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() @@ -79,40 +79,40 @@ def test_includes_any(scalar_types_df: bpd.DataFrame, snapshot): snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_is_distinct(scalar_types_df: bpd.DataFrame, snapshot): - result = array.is_distinct( +def test_array_is_distinct(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_is_distinct( cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_last(scalar_types_df: bpd.DataFrame, snapshot): - result = array.last( +def test_array_last(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_last( cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_length(scalar_types_df: bpd.DataFrame, snapshot): - result = array.length( +def test_array_length(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_length( cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_reverse(scalar_types_df: bpd.DataFrame, snapshot): - result = array.reverse( +def test_array_reverse(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_reverse( cast(bpd.Series, scalar_types_df["string_col"]), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_slice(scalar_types_df: bpd.DataFrame, snapshot): - result = array.slice( +def test_array_slice(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_slice( cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["string_col"]), @@ -121,8 +121,8 @@ def test_slice(scalar_types_df: bpd.DataFrame, snapshot): snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") -def test_to_string(scalar_types_df: bpd.DataFrame, snapshot): - result = array.to_string( +def test_array_to_string(scalar_types_df: bpd.DataFrame, snapshot): + result = array.array_to_string( cast(bpd.Series, scalar_types_df["string_col"]), cast(bpd.Series, scalar_types_df["bytes_col"]), cast(bpd.Series, scalar_types_df["bytes_col"]), diff --git a/packages/bigframes/third_party/bigframes_vendored/sqlglot/expressions.py b/packages/bigframes/third_party/bigframes_vendored/sqlglot/expressions.py index 9dde730dad45..e8e4cc8e10d6 100644 --- a/packages/bigframes/third_party/bigframes_vendored/sqlglot/expressions.py +++ b/packages/bigframes/third_party/bigframes_vendored/sqlglot/expressions.py @@ -5906,7 +5906,7 @@ class FarmFingerprint(Func): class Flatten(Func): - pass + arg_types = {"this": True, "depth": False} class Float64(Func): From e85acc1aa3dcff15e6c4b7696e8a9c631b49b337 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Wed, 20 May 2026 20:38:41 +0000 Subject: [PATCH 03/22] fix uv run --- .../scripts/generate_bigframes_bigquery.py | 1 + .../generate_bigframes_bigquery.py.lock | 2406 ++++++++++++++++- 2 files changed, 2379 insertions(+), 28 deletions(-) diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index 26e073aed062..704bd13b1bc9 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -2,6 +2,7 @@ # # /// script # dependencies = [ +# "bigframes[all]", # "jinja2", # "pyyaml", # "ruff==0.14.14", diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py.lock b/packages/bigframes/scripts/generate_bigframes_bigquery.py.lock index 0c89fde6d406..733adecdc58c 100644 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py.lock +++ 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.../bigframes/bigquery/_operations/aead.py | 6 ++-- .../_operations/global_namespace/array.py | 28 +++++++++---------- .../scripts/templates/operation.py.j2 | 2 +- 4 files changed, 24 insertions(+), 21 deletions(-) diff --git a/packages/bigframes/bigframes/bigquery/_googlesql.py b/packages/bigframes/bigframes/bigquery/_googlesql.py index a37c9790ff56..1667a7bf1d2e 100644 --- a/packages/bigframes/bigframes/bigquery/_googlesql.py +++ b/packages/bigframes/bigframes/bigquery/_googlesql.py @@ -16,7 +16,7 @@ from __future__ import annotations -from typing import Any, Union +from typing import Any, TypeVar, Union, overload import bigframes.core.col import bigframes.core.expression as ex @@ -24,11 +24,14 @@ import bigframes.series as series from bigframes.operations import googlesql +T = TypeVar("T", bigframes.core.col.Expression, series.Series) + def apply_googlesql_scalar_op( op: googlesql.GoogleSqlScalarOp, - *args: Any, -) -> Union[series.Series, bigframes.core.col.Expression]: + *args: Union[T, bigframes.core.col.Expression, Any], +) -> T: + ... """Applies a GoogleSQL scalar operator to the given arguments. Handles a mix of Series, Expression, and literal inputs. diff --git a/packages/bigframes/bigframes/bigquery/_operations/aead.py b/packages/bigframes/bigframes/bigquery/_operations/aead.py index 6bfb65360384..367c36b89fc5 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/aead.py +++ b/packages/bigframes/bigframes/bigquery/_operations/aead.py @@ -72,7 +72,7 @@ def decrypt_bytes( keyset, ciphertext, additional_data, - ) # type: ignore + ) def decrypt_string( @@ -98,7 +98,7 @@ def decrypt_string( keyset, ciphertext, additional_data, - ) # type: ignore + ) def encrypt( @@ -124,4 +124,4 @@ def encrypt( keyset, plaintext, additional_data, - ) # type: ignore + ) diff --git a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py index c35781f6aa48..3163a36efb22 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py +++ b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py @@ -121,7 +121,7 @@ def array_concat( _ARRAY_CONCAT_OP, array_expression_1, array_expression_2, - ) # type: ignore + ) def array_first( @@ -135,7 +135,7 @@ def array_first( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_FIRST_OP, array_expression, - ) # type: ignore + ) def array_first_n( @@ -155,7 +155,7 @@ def array_first_n( _ARRAY_FIRST_N_OP, input_array, n, - ) # type: ignore + ) def array_includes( @@ -175,7 +175,7 @@ def array_includes( _ARRAY_INCLUDES_OP, array_to_search, search_value, - ) # type: ignore + ) def array_includes_all( @@ -195,7 +195,7 @@ def array_includes_all( _ARRAY_INCLUDES_ALL_OP, array_to_search, search_values, - ) # type: ignore + ) def array_includes_any( @@ -215,7 +215,7 @@ def array_includes_any( _ARRAY_INCLUDES_ANY_OP, array_to_search, search_values, - ) # type: ignore + ) def array_is_distinct( @@ -229,7 +229,7 @@ def array_is_distinct( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_IS_DISTINCT_OP, array_expression, - ) # type: ignore + ) def array_last( @@ -243,7 +243,7 @@ def array_last( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_LAST_OP, array_expression, - ) # type: ignore + ) def array_length( @@ -285,7 +285,7 @@ def array_length( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_LENGTH_OP, series, - ) # type: ignore + ) def array_reverse( @@ -299,7 +299,7 @@ def array_reverse( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_REVERSE_OP, value, - ) # type: ignore + ) def array_slice( @@ -325,7 +325,7 @@ def array_slice( array_to_slice, start_offset, end_offset, - ) # type: ignore + ) def array_to_string( @@ -374,7 +374,7 @@ def array_to_string( series, delimiter, null_text, - ) # type: ignore + ) def flatten( @@ -394,7 +394,7 @@ def flatten( _FLATTEN_OP, array_to_flatten, depth, - ) # type: ignore + ) def generate_array( @@ -420,4 +420,4 @@ def generate_array( start_expression, end_expression, step_expression, - ) # type: ignore + ) diff --git a/packages/bigframes/scripts/templates/operation.py.j2 b/packages/bigframes/scripts/templates/operation.py.j2 index ca428cde51b3..13b0ff6d2ff1 100644 --- a/packages/bigframes/scripts/templates/operation.py.j2 +++ b/packages/bigframes/scripts/templates/operation.py.j2 @@ -42,5 +42,5 @@ def {{ func.name }}( {% for arg in func.args %} {{ arg.name }}, {% endfor %} - ) # type: ignore + ) {% endfor %} From 90874c83294e141ed422c618cc8f6b9b54860f56 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Wed, 20 May 2026 21:14:37 +0000 Subject: [PATCH 06/22] Revert "attempt to tighthen typing" This reverts commit 37644c69eeabaf9d5082f1ad4e8158c1af962158. --- .../bigframes/bigquery/_googlesql.py | 9 ++---- .../bigframes/bigquery/_operations/aead.py | 6 ++-- .../_operations/global_namespace/array.py | 28 +++++++++---------- .../scripts/templates/operation.py.j2 | 2 +- 4 files changed, 21 insertions(+), 24 deletions(-) diff --git a/packages/bigframes/bigframes/bigquery/_googlesql.py b/packages/bigframes/bigframes/bigquery/_googlesql.py index 1667a7bf1d2e..a37c9790ff56 100644 --- a/packages/bigframes/bigframes/bigquery/_googlesql.py +++ b/packages/bigframes/bigframes/bigquery/_googlesql.py @@ -16,7 +16,7 @@ from __future__ import annotations -from typing import Any, TypeVar, Union, overload +from typing import Any, Union import bigframes.core.col import bigframes.core.expression as ex @@ -24,14 +24,11 @@ import bigframes.series as series from bigframes.operations import googlesql -T = TypeVar("T", bigframes.core.col.Expression, series.Series) - def apply_googlesql_scalar_op( op: googlesql.GoogleSqlScalarOp, - *args: Union[T, bigframes.core.col.Expression, Any], -) -> T: - ... + *args: Any, +) -> Union[series.Series, bigframes.core.col.Expression]: """Applies a GoogleSQL scalar operator to the given arguments. Handles a mix of Series, Expression, and literal inputs. diff --git a/packages/bigframes/bigframes/bigquery/_operations/aead.py b/packages/bigframes/bigframes/bigquery/_operations/aead.py index 367c36b89fc5..6bfb65360384 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/aead.py +++ b/packages/bigframes/bigframes/bigquery/_operations/aead.py @@ -72,7 +72,7 @@ def decrypt_bytes( keyset, ciphertext, additional_data, - ) + ) # type: ignore def decrypt_string( @@ -98,7 +98,7 @@ def decrypt_string( keyset, ciphertext, additional_data, - ) + ) # type: ignore def encrypt( @@ -124,4 +124,4 @@ def encrypt( keyset, plaintext, additional_data, - ) + ) # type: ignore diff --git a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py index 3163a36efb22..c35781f6aa48 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py +++ b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py @@ -121,7 +121,7 @@ def array_concat( _ARRAY_CONCAT_OP, array_expression_1, array_expression_2, - ) + ) # type: ignore def array_first( @@ -135,7 +135,7 @@ def array_first( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_FIRST_OP, array_expression, - ) + ) # type: ignore def array_first_n( @@ -155,7 +155,7 @@ def array_first_n( _ARRAY_FIRST_N_OP, input_array, n, - ) + ) # type: ignore def array_includes( @@ -175,7 +175,7 @@ def array_includes( _ARRAY_INCLUDES_OP, array_to_search, search_value, - ) + ) # type: ignore def array_includes_all( @@ -195,7 +195,7 @@ def array_includes_all( _ARRAY_INCLUDES_ALL_OP, array_to_search, search_values, - ) + ) # type: ignore def array_includes_any( @@ -215,7 +215,7 @@ def array_includes_any( _ARRAY_INCLUDES_ANY_OP, array_to_search, search_values, - ) + ) # type: ignore def array_is_distinct( @@ -229,7 +229,7 @@ def array_is_distinct( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_IS_DISTINCT_OP, array_expression, - ) + ) # type: ignore def array_last( @@ -243,7 +243,7 @@ def array_last( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_LAST_OP, array_expression, - ) + ) # type: ignore def array_length( @@ -285,7 +285,7 @@ def array_length( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_LENGTH_OP, series, - ) + ) # type: ignore def array_reverse( @@ -299,7 +299,7 @@ def array_reverse( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_REVERSE_OP, value, - ) + ) # type: ignore def array_slice( @@ -325,7 +325,7 @@ def array_slice( array_to_slice, start_offset, end_offset, - ) + ) # type: ignore def array_to_string( @@ -374,7 +374,7 @@ def array_to_string( series, delimiter, null_text, - ) + ) # type: ignore def flatten( @@ -394,7 +394,7 @@ def flatten( _FLATTEN_OP, array_to_flatten, depth, - ) + ) # type: ignore def generate_array( @@ -420,4 +420,4 @@ def generate_array( start_expression, end_expression, step_expression, - ) + ) # type: ignore diff --git a/packages/bigframes/scripts/templates/operation.py.j2 b/packages/bigframes/scripts/templates/operation.py.j2 index 13b0ff6d2ff1..ca428cde51b3 100644 --- a/packages/bigframes/scripts/templates/operation.py.j2 +++ b/packages/bigframes/scripts/templates/operation.py.j2 @@ -42,5 +42,5 @@ def {{ func.name }}( {% for arg in func.args %} {{ arg.name }}, {% endfor %} - ) + ) # type: ignore {% endfor %} From e2d597d981aa7ba3a09c5eefc531ab5369ee8eeb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Wed, 20 May 2026 21:19:57 +0000 Subject: [PATCH 07/22] loosen types --- .../bigframes/bigquery/_operations/aead.py | 32 +++-- .../_operations/global_namespace/array.py | 110 ++++++++-------- .../scripts/templates/operation.py.j2 | 8 +- .../scripts/templates/test_operation.py.j2 | 4 +- .../global_namespace/test_array.py | 122 ++++++++++++------ .../unit/bigquery/_operations/test_aead.py | 33 +++-- 6 files changed, 177 insertions(+), 132 deletions(-) diff --git a/packages/bigframes/bigframes/bigquery/_operations/aead.py b/packages/bigframes/bigframes/bigquery/_operations/aead.py index 6bfb65360384..88cb289ed733 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/aead.py +++ b/packages/bigframes/bigframes/bigquery/_operations/aead.py @@ -30,8 +30,6 @@ from bigframes import dtypes from bigframes.operations import googlesql -T = TypeVar("T", series.Series, bigframes.core.col.Expression) - _DECRYPT_BYTES_OP = googlesql.GoogleSqlScalarOp( "AEAD.DECRYPT_BYTES", args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec()), @@ -51,77 +49,77 @@ def decrypt_bytes( keyset: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], ], ciphertext: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], ], additional_data: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Uses the matching key from keyset to decrypt ciphertext and verifies the integrity of the data using additional_data. Returns an error if decryption or verification fails.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _DECRYPT_BYTES_OP, keyset, ciphertext, additional_data, - ) # type: ignore + ) def decrypt_string( keyset: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], ], ciphertext: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], ], additional_data: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Like AEAD.DECRYPT_BYTES, but where additional_data is of type STRING.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _DECRYPT_STRING_OP, keyset, ciphertext, additional_data, - ) # type: ignore + ) def encrypt( keyset: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], ], plaintext: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], ], additional_data: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Encrypts plaintext using the primary cryptographic key in keyset. The algorithm of the primary key must be AEAD_AES_GCM_256. Binds the ciphertext to the context defined by additional_data. Returns NULL if any input is NULL.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ENCRYPT_OP, keyset, plaintext, additional_data, - ) # type: ignore + ) diff --git a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py index c35781f6aa48..4ada2eea3faf 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py +++ b/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py @@ -30,8 +30,6 @@ from bigframes import dtypes from bigframes.operations import googlesql -T = TypeVar("T", series.Series, bigframes.core.col.Expression) - _ARRAY_CONCAT_OP = googlesql.GoogleSqlScalarOp( "ARRAY_CONCAT", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), @@ -106,153 +104,153 @@ def array_concat( array_expression_1: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], array_expression_2: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Concatenates one or more arrays with the same element type into a single array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_CONCAT_OP, array_expression_1, array_expression_2, - ) # type: ignore + ) def array_first( array_expression: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns the first element in the array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_FIRST_OP, array_expression, - ) # type: ignore + ) def array_first_n( input_array: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], n: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Returns a prefix of `input_array` consisting of the first `n` elements.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_FIRST_N_OP, input_array, n, - ) # type: ignore + ) def array_includes( array_to_search: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], search_value: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns `TRUE` if there is an element in the array that is equal to the search_value.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_INCLUDES_OP, array_to_search, search_value, - ) # type: ignore + ) def array_includes_all( array_to_search: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], search_values: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array to search and an array of search values. Returns `TRUE` if all search values are in the array to search, otherwise returns `FALSE`.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_INCLUDES_ALL_OP, array_to_search, search_values, - ) # type: ignore + ) def array_includes_any( array_to_search: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], search_values: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array to search and an array of search values. Returns `TRUE` if any search values are in the array to search, otherwise returns `FALSE`.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_INCLUDES_ANY_OP, array_to_search, search_values, - ) # type: ignore + ) def array_is_distinct( array_expression: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Returns `TRUE` if the array contains no repeated elements, using the same equality comparison logic as `SELECT DISTINCT`.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_IS_DISTINCT_OP, array_expression, - ) # type: ignore + ) def array_last( array_expression: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns the last element in the array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_LAST_OP, array_expression, - ) # type: ignore + ) def array_length( series: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Compute the length of each array element in the Series. **Examples:** @@ -285,66 +283,66 @@ def array_length( return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_LENGTH_OP, series, - ) # type: ignore + ) def array_reverse( value: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Returns the input `ARRAY` with elements in reverse order.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_REVERSE_OP, value, - ) # type: ignore + ) def array_slice( array_to_slice: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], start_offset: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], end_offset: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array containing zero or more consecutive elements from the input array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _ARRAY_SLICE_OP, array_to_slice, start_offset, end_offset, - ) # type: ignore + ) def array_to_string( series: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], delimiter: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], ], null_text: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], ] = sentinels.Sentinel.ARGUMENT_DEFAULT, -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Converts array elements within a Series into delimited strings. **Examples:** @@ -374,50 +372,50 @@ def array_to_string( series, delimiter, null_text, - ) # type: ignore + ) def flatten( array_to_flatten: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], depth: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ] = sentinels.Sentinel.ARGUMENT_DEFAULT, -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array of nested data and flattens a specific part of it into a single, flat array with the [array elements field access operator][array-el-field-operator]. Returns `NULL` if the input value is `NULL`.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _FLATTEN_OP, array_to_flatten, depth, - ) # type: ignore + ) def generate_array( start_expression: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], end_expression: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ], step_expression: Union[ - T, + series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], ] = sentinels.Sentinel.ARGUMENT_DEFAULT, -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array of values. The `start_expression` and `end_expression` parameters determine the inclusive start and end of the array.""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( _GENERATE_ARRAY_OP, start_expression, end_expression, step_expression, - ) # type: ignore + ) diff --git a/packages/bigframes/scripts/templates/operation.py.j2 b/packages/bigframes/scripts/templates/operation.py.j2 index ca428cde51b3..b9a8c20878a8 100644 --- a/packages/bigframes/scripts/templates/operation.py.j2 +++ b/packages/bigframes/scripts/templates/operation.py.j2 @@ -19,8 +19,6 @@ from bigframes.operations import googlesql import bigframes.operations as ops import bigframes.series as series -T = TypeVar("T", series.Series, bigframes.core.col.Expression) - {% for op in ops %} {{ op.internal_name }} = googlesql.GoogleSqlScalarOp( "{{ op.sql_name }}", @@ -33,14 +31,14 @@ T = TypeVar("T", series.Series, bigframes.core.col.Expression) def {{ func.name }}( {% for arg in func.args %} - {{ arg.name }}: Union[T, bigframes.core.col.Expression, {{ arg.type_hint }}]{% if arg.default %} = {{ arg.default }}{% endif %}, + {{ arg.name }}: Union[series.Series, bigframes.core.col.Expression, {{ arg.type_hint }}]{% if arg.default %} = {{ arg.default }}{% endif %}, {% endfor %} -) -> T: +) -> Union[series.Series, bigframes.core.col.Expression]: """{{ func.description | indent(4) }}""" return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( {{ func.op_name }}, {% for arg in func.args %} {{ arg.name }}, {% endfor %} - ) # type: ignore + ) {% endfor %} diff --git a/packages/bigframes/scripts/templates/test_operation.py.j2 b/packages/bigframes/scripts/templates/test_operation.py.j2 index 940712f4da26..c77d67f30c05 100644 --- a/packages/bigframes/scripts/templates/test_operation.py.j2 +++ b/packages/bigframes/scripts/templates/test_operation.py.j2 @@ -17,11 +17,11 @@ pytest.importorskip("pytest_snapshot") {% for func in functions %} def test_{{ func.name }}(scalar_types_df: bpd.DataFrame, snapshot): - result = {{ short_name }}.{{ func.name }}( + result = cast(bpd.Series, {{ short_name }}.{{ func.name }}( {% for arg in func.test_args %} cast(bpd.Series, scalar_types_df["{{ arg.col_name }}"]), {% endfor %} - ).to_frame() + )).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py index a5b431dc402d..dc0add9f9fae 100644 --- a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py +++ b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py @@ -27,124 +27,166 @@ def test_array_concat(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_concat( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_concat( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_first(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_first( - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_first( + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_first_n(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_first_n( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_first_n( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_includes(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_includes( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_includes( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_includes_all(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_includes_all( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_includes_all( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_includes_any(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_includes_any( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_includes_any( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_is_distinct(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_is_distinct( - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_is_distinct( + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_last(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_last( - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_last( + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_length(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_length( - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_length( + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_reverse(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_reverse( - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_reverse( + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_slice(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_slice( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.array_slice( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_array_to_string(scalar_types_df: bpd.DataFrame, snapshot): - result = array.array_to_string( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), + result = cast( + bpd.Series, + array.array_to_string( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_flatten(scalar_types_df: bpd.DataFrame, snapshot): - result = array.flatten( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.flatten( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_generate_array(scalar_types_df: bpd.DataFrame, snapshot): - result = array.generate_array( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + array.generate_array( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") diff --git a/packages/bigframes/tests/unit/bigquery/_operations/test_aead.py b/packages/bigframes/tests/unit/bigquery/_operations/test_aead.py index 5ff0f8c7badf..6490f3b9a7be 100644 --- a/packages/bigframes/tests/unit/bigquery/_operations/test_aead.py +++ b/packages/bigframes/tests/unit/bigquery/_operations/test_aead.py @@ -27,30 +27,39 @@ def test_decrypt_bytes(scalar_types_df: bpd.DataFrame, snapshot): - result = aead.decrypt_bytes( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), + result = cast( + bpd.Series, + aead.decrypt_bytes( + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_decrypt_string(scalar_types_df: bpd.DataFrame, snapshot): - result = aead.decrypt_string( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), + result = cast( + bpd.Series, + aead.decrypt_string( + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_encrypt(scalar_types_df: bpd.DataFrame, snapshot): - result = aead.encrypt( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), + result = cast( + bpd.Series, + aead.encrypt( + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + ), ).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") From 4171618a02c36d4f4f622cc8e468b7571048bb46 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Wed, 20 May 2026 21:26:05 +0000 Subject: [PATCH 08/22] add some casts --- .../bigframes/operations/semantics.py | 20 ++++++++++++------- .../tests/system/small/bigquery/test_array.py | 2 +- 2 files changed, 14 insertions(+), 8 deletions(-) diff --git a/packages/bigframes/bigframes/operations/semantics.py b/packages/bigframes/bigframes/operations/semantics.py index 4a6543fdad61..3cad3258e035 100644 --- a/packages/bigframes/bigframes/operations/semantics.py +++ b/packages/bigframes/bigframes/operations/semantics.py @@ -16,7 +16,7 @@ import re import typing import warnings -from typing import List, Optional +from typing import List, Optional, cast import numpy as np @@ -201,13 +201,19 @@ def agg( agg_df[cluster_column] = agg_df[cluster_column].list[0] # Skip if the aggregated group only has a single item - single_row_df: bigframes.series.Series = bbq.array_to_string( - agg_df[agg_df[group_row_index].list.len() <= 1][column], - delimiter="", + single_row_df: bigframes.series.Series = cast( + bigframes.series.Series, + bbq.array_to_string( + agg_df[agg_df[group_row_index].list.len() <= 1][column], + delimiter="", + ), ) - prompt_s: bigframes.series.Series = bbq.array_to_string( - agg_df[agg_df[group_row_index].list.len() > 1][llm_prompt], - delimiter="", + prompt_s: bigframes.series.Series = cast( + bigframes.series.Series, + bbq.array_to_string( + agg_df[agg_df[group_row_index].list.len() > 1][llm_prompt], + delimiter="", + ), ) prompt_s = output_instruction + prompt_s # type:ignore diff --git a/packages/bigframes/tests/system/small/bigquery/test_array.py b/packages/bigframes/tests/system/small/bigquery/test_array.py index 2c2b2001ebe8..a96eb7c0ee14 100644 --- a/packages/bigframes/tests/system/small/bigquery/test_array.py +++ b/packages/bigframes/tests/system/small/bigquery/test_array.py @@ -73,7 +73,7 @@ def test_array_length(input_data, expected): dtype=bigframes.dtypes.INT_DTYPE, ) pd.testing.assert_series_equal( - bbq.array_length(series).to_pandas(), + cast(bpd.Series, bbq.array_length(series)).to_pandas(), expected, check_index_type=False, ) From fa66d9a193b0a491704ae7616e8975f16f546f9f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Wed, 20 May 2026 21:35:33 +0000 Subject: [PATCH 09/22] oops --- packages/bigframes/tests/system/small/bigquery/test_array.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/packages/bigframes/tests/system/small/bigquery/test_array.py b/packages/bigframes/tests/system/small/bigquery/test_array.py index a96eb7c0ee14..2aee7e61bd7d 100644 --- a/packages/bigframes/tests/system/small/bigquery/test_array.py +++ b/packages/bigframes/tests/system/small/bigquery/test_array.py @@ -12,6 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +from typing import cast + import numpy as np import pandas as pd import pytest From def7c1869349e965f76cce6626455bf19c325a01 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 14:26:18 +0000 Subject: [PATCH 10/22] change target directory --- .../_googlesql.py => core/googlesql.py} | 0 .../{googlesql.py => googlesql/__init__.py} | 0 .../googlesql}/aead.py | 62 ++---- .../googlesql/global_namespace/__init__.py | 13 ++ .../global_namespace/aead_encryption.py | 76 ++----- .../googlesql}/global_namespace/array.py | 190 ++++------------- .../scripts/generate_bigframes_bigquery.py | 6 +- .../scripts/templates/operation.py.j2 | 4 +- .../global_namespace/test_array.py | 192 ------------------ .../unit/bigquery/_operations/test_io.py | 40 ---- .../unit/operations/googlesql/__init__.py | 13 ++ .../test_deterministic_decrypt_bytes/out.sql | 0 .../test_deterministic_decrypt_string/out.sql | 0 .../test_deterministic_encrypt/out.sql | 0 .../test_array/test_array_concat/out.sql | 0 .../test_array/test_array_first/out.sql | 0 .../test_array/test_array_first_n/out.sql | 0 .../test_array/test_array_includes/out.sql | 0 .../test_array_includes_all/out.sql | 0 .../test_array_includes_any/out.sql | 0 .../test_array/test_array_is_distinct/out.sql | 0 .../test_array/test_array_last/out.sql | 0 .../test_array/test_array_length/out.sql | 0 .../test_array/test_array_reverse/out.sql | 0 .../test_array/test_array_slice/out.sql | 0 .../test_array/test_array_to_string/out.sql | 0 .../snapshots/test_array/test_flatten/out.sql | 0 .../test_array/test_generate_array/out.sql | 0 .../global_namespace/test_aead_encryption.py | 14 +- .../googlesql/global_namespace/test_array.py | 150 ++++++++++++++ .../test_aead/test_decrypt_bytes/out.sql | 0 .../test_aead/test_decrypt_string/out.sql | 0 .../snapshots/test_aead/test_encrypt/out.sql | 0 .../googlesql}/test_aead.py | 41 ++-- 34 files changed, 279 insertions(+), 522 deletions(-) rename packages/bigframes/bigframes/{bigquery/_googlesql.py => core/googlesql.py} (100%) rename packages/bigframes/bigframes/operations/{googlesql.py => googlesql/__init__.py} (100%) rename packages/bigframes/bigframes/{bigquery/_operations => operations/googlesql}/aead.py (61%) create mode 100644 packages/bigframes/bigframes/operations/googlesql/global_namespace/__init__.py rename packages/bigframes/bigframes/{bigquery/_operations => operations/googlesql}/global_namespace/aead_encryption.py (60%) rename packages/bigframes/bigframes/{bigquery/_operations => operations/googlesql}/global_namespace/array.py (61%) delete mode 100644 packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py delete mode 100644 packages/bigframes/tests/unit/bigquery/_operations/test_io.py create mode 100644 packages/bigframes/tests/unit/operations/googlesql/__init__.py rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_concat/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_first/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_first_n/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_includes/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_includes_all/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_includes_any/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_last/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_length/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_reverse/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_slice/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_array_to_string/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_flatten/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/snapshots/test_array/test_generate_array/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/global_namespace/test_aead_encryption.py (84%) create mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/snapshots/test_aead/test_decrypt_bytes/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/snapshots/test_aead/test_decrypt_string/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/snapshots/test_aead/test_encrypt/out.sql (100%) rename packages/bigframes/tests/unit/{bigquery/_operations => operations/googlesql}/test_aead.py (58%) diff --git a/packages/bigframes/bigframes/bigquery/_googlesql.py b/packages/bigframes/bigframes/core/googlesql.py similarity index 100% rename from packages/bigframes/bigframes/bigquery/_googlesql.py rename to packages/bigframes/bigframes/core/googlesql.py diff --git a/packages/bigframes/bigframes/operations/googlesql.py b/packages/bigframes/bigframes/operations/googlesql/__init__.py similarity index 100% rename from packages/bigframes/bigframes/operations/googlesql.py rename to packages/bigframes/bigframes/operations/googlesql/__init__.py diff --git a/packages/bigframes/bigframes/bigquery/_operations/aead.py b/packages/bigframes/bigframes/operations/googlesql/aead.py similarity index 61% rename from packages/bigframes/bigframes/bigquery/_operations/aead.py rename to packages/bigframes/bigframes/operations/googlesql/aead.py index 88cb289ed733..6bdc6979ea39 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/aead.py +++ b/packages/bigframes/bigframes/operations/googlesql/aead.py @@ -21,9 +21,9 @@ import datetime from typing import Any, Literal, Optional, TypeVar, Union -import bigframes.bigquery._googlesql import bigframes.core.col import bigframes.core.expression as ex +import bigframes.core.googlesql import bigframes.core.sentinels as sentinels import bigframes.operations as ops import bigframes.series as series @@ -48,24 +48,12 @@ def decrypt_bytes( - keyset: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], - ], - ciphertext: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], - ], - additional_data: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], - ], + keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], + ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], + additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Uses the matching key from keyset to decrypt ciphertext and verifies the integrity of the data using additional_data. Returns an error if decryption or verification fails.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _DECRYPT_BYTES_OP, keyset, ciphertext, @@ -74,24 +62,12 @@ def decrypt_bytes( def decrypt_string( - keyset: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], - ], - ciphertext: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], - ], - additional_data: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str], - ], + keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], + ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], + additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Like AEAD.DECRYPT_BYTES, but where additional_data is of type STRING.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _DECRYPT_STRING_OP, keyset, ciphertext, @@ -100,24 +76,12 @@ def decrypt_string( def encrypt( - keyset: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], - ], - plaintext: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], - ], - additional_data: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], - ], + keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], + plaintext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], + additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Encrypts plaintext using the primary cryptographic key in keyset. The algorithm of the primary key must be AEAD_AES_GCM_256. Binds the ciphertext to the context defined by additional_data. Returns NULL if any input is NULL.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ENCRYPT_OP, keyset, plaintext, diff --git a/packages/bigframes/bigframes/operations/googlesql/global_namespace/__init__.py b/packages/bigframes/bigframes/operations/googlesql/global_namespace/__init__.py new file mode 100644 index 000000000000..58d482ea3866 --- /dev/null +++ b/packages/bigframes/bigframes/operations/googlesql/global_namespace/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/aead_encryption.py b/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py similarity index 60% rename from packages/bigframes/bigframes/bigquery/_operations/global_namespace/aead_encryption.py rename to packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py index b1522a70d73e..8275b45a8397 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/aead_encryption.py +++ b/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py @@ -21,17 +21,15 @@ import datetime from typing import Any, Literal, Optional, TypeVar, Union -import bigframes.bigquery._googlesql import bigframes.core.col import bigframes.core.expression as ex +import bigframes.core.googlesql import bigframes.core.sentinels as sentinels import bigframes.operations as ops import bigframes.series as series from bigframes import dtypes from bigframes.operations import googlesql -T = TypeVar("T", series.Series, bigframes.core.col.Expression) - _DETERMINISTIC_DECRYPT_BYTES_OP = googlesql.GoogleSqlScalarOp( "DETERMINISTIC_DECRYPT_BYTES", args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec()), @@ -50,78 +48,42 @@ def deterministic_decrypt_bytes( - keyset: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], - ], - ciphertext: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], - ], - additional_data: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], - ], -) -> T: + keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], + ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], + additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], +) -> Union[series.Series, bigframes.core.col.Expression]: """Uses the matching key from `keyset` to decrypt `ciphertext` and verifies the integrity of the data using `additional_data`. Returns an error if decryption fails.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _DETERMINISTIC_DECRYPT_BYTES_OP, keyset, ciphertext, additional_data, - ) # type: ignore + ) def deterministic_decrypt_string( - keyset: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], - ], - ciphertext: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], - ], - additional_data: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str], - ], -) -> T: + keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], + ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], + additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str]], +) -> Union[series.Series, bigframes.core.col.Expression]: """Like `DETERMINISTIC_DECRYPT_BYTES`, but where plaintext is of type STRING.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _DETERMINISTIC_DECRYPT_STRING_OP, keyset, ciphertext, additional_data, - ) # type: ignore + ) def deterministic_encrypt( - keyset: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], - ], - plaintext: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], - ], - additional_data: Union[ - T, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], - ], -) -> T: + keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], + plaintext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], + additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], +) -> Union[series.Series, bigframes.core.col.Expression]: """Encrypts `plaintext` using the primary cryptographic key in `keyset` using deterministic AEAD. The algorithm of the primary key must be `DETERMINISTIC_AEAD_AES_SIV_CMAC_256`. Binds the ciphertext to the context defined by `additional_data`. Returns `NULL` if any input is `NULL`.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _DETERMINISTIC_ENCRYPT_OP, keyset, plaintext, additional_data, - ) # type: ignore + ) diff --git a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py b/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py similarity index 61% rename from packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py rename to packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py index 4ada2eea3faf..eb957445553e 100644 --- a/packages/bigframes/bigframes/bigquery/_operations/global_namespace/array.py +++ b/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py @@ -21,9 +21,9 @@ import datetime from typing import Any, Literal, Optional, TypeVar, Union -import bigframes.bigquery._googlesql import bigframes.core.col import bigframes.core.expression as ex +import bigframes.core.googlesql import bigframes.core.sentinels as sentinels import bigframes.operations as ops import bigframes.series as series @@ -103,19 +103,11 @@ def array_concat( - array_expression_1: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - array_expression_2: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_expression_1: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_expression_2: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Concatenates one or more arrays with the same element type into a single array.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_CONCAT_OP, array_expression_1, array_expression_2, @@ -123,33 +115,21 @@ def array_concat( def array_first( - array_expression: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns the first element in the array.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_FIRST_OP, array_expression, ) def array_first_n( - input_array: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - n: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + input_array: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + n: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns a prefix of `input_array` consisting of the first `n` elements.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_FIRST_N_OP, input_array, n, @@ -157,19 +137,11 @@ def array_first_n( def array_includes( - array_to_search: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - search_value: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_to_search: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + search_value: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns `TRUE` if there is an element in the array that is equal to the search_value.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_INCLUDES_OP, array_to_search, search_value, @@ -177,19 +149,11 @@ def array_includes( def array_includes_all( - array_to_search: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - search_values: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_to_search: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + search_values: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array to search and an array of search values. Returns `TRUE` if all search values are in the array to search, otherwise returns `FALSE`.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_INCLUDES_ALL_OP, array_to_search, search_values, @@ -197,19 +161,11 @@ def array_includes_all( def array_includes_any( - array_to_search: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - search_values: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_to_search: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + search_values: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array to search and an array of search values. Returns `TRUE` if any search values are in the array to search, otherwise returns `FALSE`.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_INCLUDES_ANY_OP, array_to_search, search_values, @@ -217,39 +173,27 @@ def array_includes_any( def array_is_distinct( - array_expression: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns `TRUE` if the array contains no repeated elements, using the same equality comparison logic as `SELECT DISTINCT`.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_IS_DISTINCT_OP, array_expression, ) def array_last( - array_expression: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns the last element in the array.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_LAST_OP, array_expression, ) def array_length( - series: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + series: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Compute the length of each array element in the Series. @@ -279,46 +223,30 @@ def array_length( Returns: bigframes.series.Series: A Series of integer values indicating the length of each element in the Series. - """ - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( +""" + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_LENGTH_OP, series, ) def array_reverse( - value: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + value: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns the input `ARRAY` with elements in reverse order.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_REVERSE_OP, value, ) def array_slice( - array_to_slice: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - start_offset: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - end_offset: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], + array_to_slice: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + start_offset: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + end_offset: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array containing zero or more consecutive elements from the input array.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_SLICE_OP, array_to_slice, start_offset, @@ -327,21 +255,9 @@ def array_slice( def array_to_string( - series: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - delimiter: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], - ], - null_text: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], - ] = sentinels.Sentinel.ARGUMENT_DEFAULT, + series: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + delimiter: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], + null_text: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Converts array elements within a Series into delimited strings. @@ -366,8 +282,8 @@ def array_to_string( Returns: bigframes.series.Series: A Series containing delimited strings. - """ - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( +""" + return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_TO_STRING_OP, series, delimiter, @@ -376,19 +292,11 @@ def array_to_string( def flatten( - array_to_flatten: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - depth: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ] = sentinels.Sentinel.ARGUMENT_DEFAULT, + array_to_flatten: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + depth: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array of nested data and flattens a specific part of it into a single, flat array with the [array elements field access operator][array-el-field-operator]. Returns `NULL` if the input value is `NULL`.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _FLATTEN_OP, array_to_flatten, depth, @@ -396,24 +304,12 @@ def flatten( def generate_array( - start_expression: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - end_expression: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ], - step_expression: Union[ - series.Series, - bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], - ] = sentinels.Sentinel.ARGUMENT_DEFAULT, + start_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + end_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + step_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array of values. The `start_expression` and `end_expression` parameters determine the inclusive start and end of the array.""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( _GENERATE_ARRAY_OP, start_expression, end_expression, diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index 9bf9cb536811..e82b4efcff64 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -32,9 +32,9 @@ # Directory containing the YAML files DATA_DIR = pathlib.Path("scripts/data/sql-functions") # Directory where the generated Python files will be placed -OUTPUT_DIR = pathlib.Path("bigframes/bigquery/_operations") +OUTPUT_DIR = pathlib.Path("bigframes/operations/googlesql") # Directory where the generated test files will be placed -TEST_OUTPUT_DIR = pathlib.Path("tests/unit/bigquery/_operations") +TEST_OUTPUT_DIR = pathlib.Path("tests/unit/operations/googlesql") # Directory containing the Jinja2 templates TEMPLATE_DIR = pathlib.Path("scripts/templates") @@ -289,7 +289,7 @@ def process_yaml_file(yaml_file, template, test_template): print(f" Generated {output_file}") # Render and write test - import_path = "bigframes.bigquery._operations." + ".".join(module_path.parts) + import_path = "bigframes.operations.googlesql." + ".".join(module_path.parts) test_output_file = TEST_OUTPUT_DIR.joinpath( module_path.with_name(f"test_{module_path.name}") ).with_suffix(".py") diff --git a/packages/bigframes/scripts/templates/operation.py.j2 b/packages/bigframes/scripts/templates/operation.py.j2 index b9a8c20878a8..9c61c0a41190 100644 --- a/packages/bigframes/scripts/templates/operation.py.j2 +++ b/packages/bigframes/scripts/templates/operation.py.j2 @@ -11,9 +11,9 @@ import datetime from typing import Any, Literal, Optional, TypeVar, Union from bigframes import dtypes -import bigframes.bigquery._googlesql import bigframes.core.col import bigframes.core.expression as ex +import bigframes.core.googlesql import bigframes.core.sentinels as sentinels from bigframes.operations import googlesql import bigframes.operations as ops @@ -35,7 +35,7 @@ def {{ func.name }}( {% endfor %} ) -> Union[series.Series, bigframes.core.col.Expression]: """{{ func.description | indent(4) }}""" - return bigframes.bigquery._googlesql.apply_googlesql_scalar_op( + return bigframes.core.googlesql.apply_googlesql_scalar_op( {{ func.op_name }}, {% for arg in func.args %} {{ arg.name }}, diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py b/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py deleted file mode 100644 index dc0add9f9fae..000000000000 --- a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_array.py +++ /dev/null @@ -1,192 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# DO NOT MODIFY THIS FILE DIRECTLY. -# This file was generated from: scripts/data/sql-functions/global_namespace/array.yaml -# by the script: scripts/generate_bigframes_bigquery.py - -from typing import cast - -import pytest - -import bigframes.bigquery._operations.global_namespace.array as array -import bigframes.pandas as bpd - -pytest.importorskip("pytest_snapshot") - - -def test_array_concat(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_concat( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_first(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_first( - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_first_n(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_first_n( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_includes(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_includes( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_includes_all(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_includes_all( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_includes_any(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_includes_any( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_is_distinct(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_is_distinct( - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_last(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_last( - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_length(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_length( - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_reverse(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_reverse( - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_slice(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_slice( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_to_string(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.array_to_string( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_flatten(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.flatten( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_generate_array(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - array.generate_array( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") diff --git a/packages/bigframes/tests/unit/bigquery/_operations/test_io.py b/packages/bigframes/tests/unit/bigquery/_operations/test_io.py deleted file mode 100644 index b5dc9544aa85..000000000000 --- a/packages/bigframes/tests/unit/bigquery/_operations/test_io.py +++ /dev/null @@ -1,40 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from unittest import mock - -import pytest - -import bigframes.bigquery._operations.io -import bigframes.session - - -@pytest.fixture -def mock_session(): - return mock.create_autospec(spec=bigframes.session.Session) - - -@mock.patch("bigframes.bigquery._operations.io._get_table_metadata") -def test_load_data(get_table_metadata_mock, mock_session): - bigframes.bigquery._operations.io.load_data( - "my-project.my_dataset.my_table", - columns={"col1": "INT64", "col2": "STRING"}, - from_files_options={"format": "CSV", "uris": ["gs://bucket/path*"]}, - session=mock_session, - ) - mock_session.read_gbq_query.assert_called_once() - generated_sql = mock_session.read_gbq_query.call_args[0][0] - expected = "LOAD DATA INTO `my-project.my_dataset.my_table` (\n `col1` INT64,\n `col2` STRING\n) FROM FILES (format='CSV', uris=['gs://bucket/path*'])" - assert generated_sql == expected - get_table_metadata_mock.assert_called_once() diff --git a/packages/bigframes/tests/unit/operations/googlesql/__init__.py b/packages/bigframes/tests/unit/operations/googlesql/__init__.py new file mode 100644 index 000000000000..58d482ea3866 --- /dev/null +++ b/packages/bigframes/tests/unit/operations/googlesql/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_concat/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_concat/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_concat/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_concat/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first_n/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first_n/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_first_n/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first_n/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_all/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_all/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_all/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_all/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_any/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_any/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_includes_any/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_any/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_last/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_last/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_last/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_last/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_length/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_length/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_length/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_length/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_reverse/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_reverse/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_reverse/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_reverse/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_slice/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_slice/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_slice/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_slice/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_to_string/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_to_string/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_array_to_string/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_to_string/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_flatten/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_flatten/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_flatten/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_flatten/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_generate_array/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_generate_array/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/snapshots/test_array/test_generate_array/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_generate_array/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_aead_encryption.py b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_aead_encryption.py similarity index 84% rename from packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_aead_encryption.py rename to packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_aead_encryption.py index d7e14ccb4bef..939eb5d2e114 100644 --- a/packages/bigframes/tests/unit/bigquery/_operations/global_namespace/test_aead_encryption.py +++ b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_aead_encryption.py @@ -20,37 +20,37 @@ import pytest -import bigframes.bigquery._operations.global_namespace.aead_encryption as aead_encryption +import bigframes.operations.googlesql.global_namespace.aead_encryption as aead_encryption import bigframes.pandas as bpd pytest.importorskip("pytest_snapshot") def test_deterministic_decrypt_bytes(scalar_types_df: bpd.DataFrame, snapshot): - result = aead_encryption.deterministic_decrypt_bytes( + result = cast(bpd.Series, aead_encryption.deterministic_decrypt_bytes( cast(bpd.Series, scalar_types_df["bytes_col"]), cast(bpd.Series, scalar_types_df["bytes_col"]), cast(bpd.Series, scalar_types_df["bytes_col"]), - ).to_frame() + )).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_deterministic_decrypt_string(scalar_types_df: bpd.DataFrame, snapshot): - result = aead_encryption.deterministic_decrypt_string( + result = cast(bpd.Series, aead_encryption.deterministic_decrypt_string( cast(bpd.Series, scalar_types_df["bytes_col"]), cast(bpd.Series, scalar_types_df["bytes_col"]), cast(bpd.Series, scalar_types_df["string_col"]), - ).to_frame() + )).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_deterministic_encrypt(scalar_types_df: bpd.DataFrame, snapshot): - result = aead_encryption.deterministic_encrypt( + result = cast(bpd.Series, aead_encryption.deterministic_encrypt( cast(bpd.Series, scalar_types_df["bytes_col"]), cast(bpd.Series, scalar_types_df["bytes_col"]), cast(bpd.Series, scalar_types_df["bytes_col"]), - ).to_frame() + )).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py new file mode 100644 index 000000000000..f2a1da696902 --- /dev/null +++ b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py @@ -0,0 +1,150 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# DO NOT MODIFY THIS FILE DIRECTLY. +# This file was generated from: scripts/data/sql-functions/global_namespace/array.yaml +# by the script: scripts/generate_bigframes_bigquery.py + +from typing import cast + +import pytest + +import bigframes.operations.googlesql.global_namespace.array as array +import bigframes.pandas as bpd + +pytest.importorskip("pytest_snapshot") + + +def test_array_concat(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_concat( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_first(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_first( + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_first_n(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_first_n( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_includes(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_includes( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_includes_all(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_includes_all( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_includes_any(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_includes_any( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_is_distinct(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_is_distinct( + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_last(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_last( + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_length(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_length( + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_reverse(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_reverse( + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_slice(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_slice( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_array_to_string(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.array_to_string( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_flatten(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.flatten( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") + + +def test_generate_array(scalar_types_df: bpd.DataFrame, snapshot): + result = cast(bpd.Series, array.generate_array( + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() + + snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") diff --git a/packages/bigframes/tests/unit/bigquery/_operations/snapshots/test_aead/test_decrypt_bytes/out.sql b/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_bytes/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/snapshots/test_aead/test_decrypt_bytes/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_bytes/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/snapshots/test_aead/test_decrypt_string/out.sql b/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_string/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/snapshots/test_aead/test_decrypt_string/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_string/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/snapshots/test_aead/test_encrypt/out.sql b/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_encrypt/out.sql similarity index 100% rename from packages/bigframes/tests/unit/bigquery/_operations/snapshots/test_aead/test_encrypt/out.sql rename to packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_encrypt/out.sql diff --git a/packages/bigframes/tests/unit/bigquery/_operations/test_aead.py b/packages/bigframes/tests/unit/operations/googlesql/test_aead.py similarity index 58% rename from packages/bigframes/tests/unit/bigquery/_operations/test_aead.py rename to packages/bigframes/tests/unit/operations/googlesql/test_aead.py index 6490f3b9a7be..9c608ff6f21d 100644 --- a/packages/bigframes/tests/unit/bigquery/_operations/test_aead.py +++ b/packages/bigframes/tests/unit/operations/googlesql/test_aead.py @@ -20,46 +20,37 @@ import pytest -import bigframes.bigquery._operations.aead as aead +import bigframes.operations.googlesql.aead as aead import bigframes.pandas as bpd pytest.importorskip("pytest_snapshot") def test_decrypt_bytes(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - aead.decrypt_bytes( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - ), - ).to_frame() + result = cast(bpd.Series, aead.decrypt_bytes( + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + )).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_decrypt_string(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - aead.decrypt_string( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - ), - ).to_frame() + result = cast(bpd.Series, aead.decrypt_string( + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["string_col"]), + )).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") def test_encrypt(scalar_types_df: bpd.DataFrame, snapshot): - result = cast( - bpd.Series, - aead.encrypt( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - ), - ).to_frame() + result = cast(bpd.Series, aead.encrypt( + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + cast(bpd.Series, scalar_types_df["bytes_col"]), + )).to_frame() snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") From cbf0d00facce58d7994e1d2c1cf12cae9986b4c1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 14:30:18 +0000 Subject: [PATCH 11/22] fix imports --- .../bigframes/bigframes/bigquery/__init__.py | 42 +++++++++---------- packages/bigframes/bigframes/bigquery/aead.py | 2 +- 2 files changed, 22 insertions(+), 22 deletions(-) diff --git a/packages/bigframes/bigframes/bigquery/__init__.py b/packages/bigframes/bigframes/bigquery/__init__.py index 7f931f7f1102..d3fb8701df20 100644 --- a/packages/bigframes/bigframes/bigquery/__init__.py +++ b/packages/bigframes/bigframes/bigquery/__init__.py @@ -68,27 +68,6 @@ st_regionstats, st_simplify, ) -from bigframes.bigquery._operations.global_namespace.aead_encryption import ( - deterministic_decrypt_bytes, - deterministic_decrypt_string, - deterministic_encrypt, -) -from bigframes.bigquery._operations.global_namespace.array import ( - array_concat, - array_first, - array_first_n, - array_includes, - array_includes_all, - array_includes_any, - array_is_distinct, - array_last, - array_length, - array_reverse, - array_slice, - array_to_string, - flatten, - generate_array, -) from bigframes.bigquery._operations.io import load_data from bigframes.bigquery._operations.json import ( json_extract, @@ -114,6 +93,27 @@ from bigframes.bigquery._operations.struct import struct from bigframes.bigquery._operations.table import create_external_table from bigframes.core.logging import log_adapter +from bigframes.operations.googlesql.global_namespace.aead_encryption import ( + deterministic_decrypt_bytes, + deterministic_decrypt_string, + deterministic_encrypt, +) +from bigframes.operations.googlesql.global_namespace.array import ( + array_concat, + array_first, + array_first_n, + array_includes, + array_includes_all, + array_includes_any, + array_is_distinct, + array_last, + array_length, + array_reverse, + array_slice, + array_to_string, + flatten, + generate_array, +) _functions = [ # approximate aggregate ops diff --git a/packages/bigframes/bigframes/bigquery/aead.py b/packages/bigframes/bigframes/bigquery/aead.py index f18e12bc5cf5..c4243a5c010c 100644 --- a/packages/bigframes/bigframes/bigquery/aead.py +++ b/packages/bigframes/bigframes/bigquery/aead.py @@ -16,7 +16,7 @@ from __future__ import annotations -from bigframes.bigquery._operations.aead import decrypt_bytes, decrypt_string, encrypt +from bigframes.operations.googlesql.aead import decrypt_bytes, decrypt_string, encrypt __all__ = [ "decrypt_bytes", From 2f4439d996da1e60e4d7f03a49a31c0662aab385 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 15:24:18 +0000 Subject: [PATCH 12/22] update tests to check --- .../scripts/generate_bigframes_bigquery.py | 46 ++- .../scripts/templates/test_operation.py.j2 | 45 ++- .../specs/bigframes-bigquery-generator.md | 7 +- .../generated}/__init__.py | 0 .../generated/global_namespace/__init__.py | 13 + .../global_namespace/test_aead_encryption.py | 101 ++++++ .../generated/global_namespace/test_array.py | 339 ++++++++++++++++++ .../unit/bigquery/generated/test_aead.py | 101 ++++++ .../test_deterministic_decrypt_bytes/out.sql | 4 - .../test_deterministic_decrypt_string/out.sql | 4 - .../test_deterministic_encrypt/out.sql | 4 - .../test_array/test_array_concat/out.sql | 4 - .../test_array/test_array_first/out.sql | 4 - .../test_array/test_array_first_n/out.sql | 4 - .../test_array/test_array_includes/out.sql | 4 - .../test_array_includes_all/out.sql | 4 - .../test_array_includes_any/out.sql | 4 - .../test_array/test_array_is_distinct/out.sql | 4 - .../test_array/test_array_last/out.sql | 4 - .../test_array/test_array_length/out.sql | 4 - .../test_array/test_array_reverse/out.sql | 4 - .../test_array/test_array_slice/out.sql | 4 - .../test_array/test_array_to_string/out.sql | 4 - .../snapshots/test_array/test_flatten/out.sql | 4 - .../test_array/test_generate_array/out.sql | 4 - .../global_namespace/test_aead_encryption.py | 56 --- .../googlesql/global_namespace/test_array.py | 150 -------- .../test_aead/test_decrypt_bytes/out.sql | 4 - .../test_aead/test_decrypt_string/out.sql | 4 - .../snapshots/test_aead/test_encrypt/out.sql | 4 - .../unit/operations/googlesql/test_aead.py | 56 --- 31 files changed, 615 insertions(+), 379 deletions(-) rename packages/bigframes/tests/unit/{operations/googlesql => bigquery/generated}/__init__.py (100%) create mode 100644 packages/bigframes/tests/unit/bigquery/generated/global_namespace/__init__.py create mode 100644 packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_aead_encryption.py create mode 100644 packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_array.py create mode 100644 packages/bigframes/tests/unit/bigquery/generated/test_aead.py delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_concat/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first_n/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_all/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_any/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_last/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_length/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_reverse/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_slice/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_to_string/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_flatten/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_generate_array/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_aead_encryption.py delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_bytes/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_string/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_encrypt/out.sql delete mode 100644 packages/bigframes/tests/unit/operations/googlesql/test_aead.py diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index e82b4efcff64..571b116d37d9 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -34,7 +34,7 @@ # Directory where the generated Python files will be placed OUTPUT_DIR = pathlib.Path("bigframes/operations/googlesql") # Directory where the generated test files will be placed -TEST_OUTPUT_DIR = pathlib.Path("tests/unit/operations/googlesql") +TEST_OUTPUT_DIR = pathlib.Path("tests/unit/bigquery/generated") # Directory containing the Jinja2 templates TEMPLATE_DIR = pathlib.Path("scripts/templates") @@ -107,7 +107,11 @@ def load_templates(): trim_blocks=True, lstrip_blocks=True, ) - return env.get_template("operation.py.j2"), env.get_template("test_operation.py.j2") + return ( + env.get_template("operation.py.j2"), + env.get_template("test_operation.py.j2"), + env.get_template("license.py.j2"), + ) def _collect_args(impls): @@ -259,7 +263,23 @@ def run_ruff(path: pathlib.Path): ) -def process_yaml_file(yaml_file, template, test_template): +def ensure_init_py( + directory: pathlib.Path, limit_dir: pathlib.Path, license_template +): + """Ensures __init__.py exists in the directory and its parents up to limit_dir.""" + curr = directory + while curr != limit_dir and curr != curr.parent: + init_file = curr / "__init__.py" + if not init_file.exists(): + print(f" Creating {init_file}") + content = license_template.render() + with open(init_file, "w") as f: + f.write(content) + run_ruff(init_file) + curr = curr.parent + + +def process_yaml_file(yaml_file, template, test_template, license_template): print(f"Processing {yaml_file}...") with open(yaml_file, "r") as f: data = yaml.safe_load(f) @@ -276,6 +296,7 @@ def process_yaml_file(yaml_file, template, test_template): # Render and write output_file.parent.mkdir(parents=True, exist_ok=True) + ensure_init_py(output_file.parent, OUTPUT_DIR.parent, license_template) content = template.render( yaml_path=str(yaml_file), script_path="scripts/generate_bigframes_bigquery.py", @@ -295,11 +316,13 @@ def process_yaml_file(yaml_file, template, test_template): ).with_suffix(".py") test_output_file.parent.mkdir(parents=True, exist_ok=True) + ensure_init_py(test_output_file.parent, TEST_OUTPUT_DIR.parent, license_template) test_content = test_template.render( yaml_path=str(yaml_file), script_path="scripts/generate_bigframes_bigquery.py", import_path=import_path, short_name=module_path.name, + is_global=is_global, functions=functions_list, ) with open(test_output_file, "w") as f: @@ -308,25 +331,12 @@ def process_yaml_file(yaml_file, template, test_template): run_ruff(test_output_file) print(f" Generated {test_output_file}") - import sys - - subprocess.run( - [ - sys.executable, - "-m", - "pytest", - str(test_output_file), - "--snapshot-update", - ], - check=False, - ) - def main(): - template, test_template = load_templates() + template, test_template, license_template = load_templates() for yaml_file in sorted(DATA_DIR.glob("**/*.yaml")): - process_yaml_file(yaml_file, template, test_template) + process_yaml_file(yaml_file, template, test_template, license_template) if __name__ == "__main__": diff --git a/packages/bigframes/scripts/templates/test_operation.py.j2 b/packages/bigframes/scripts/templates/test_operation.py.j2 index c77d67f30c05..21db9cbfc8ba 100644 --- a/packages/bigframes/scripts/templates/test_operation.py.j2 +++ b/packages/bigframes/scripts/templates/test_operation.py.j2 @@ -5,25 +5,40 @@ # This file was generated from: {{ yaml_path }} # by the script: {{ script_path }} -from typing import cast - -import pytest - +import bigframes.core.col +import bigframes.core.expression as ex import bigframes.pandas as bpd -import {{ import_path }} as {{ short_name }} - -pytest.importorskip("pytest_snapshot") +import {{ import_path }} as {{ short_name }}_op +import bigframes.bigquery as bbq {% for func in functions %} -def test_{{ func.name }}(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, {{ short_name }}.{{ func.name }}( -{% for arg in func.test_args %} - cast(bpd.Series, scalar_types_df["{{ arg.col_name }}"]), -{% endfor %} - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") +def test_{{ func.name }}_expression(): + # Call the function with col() expressions +{% if is_global %} + result = bbq.{{ func.name }}( +{% else %} + result = bbq.{{ short_name }}.{{ func.name }}( +{% endif %} + {% for arg in func.args %} + bpd.col("{{ arg.name }}"), + {% endfor %} + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == {{ short_name }}_op._{{ func.name | upper }}_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == {{ func.args | length }} + {% for arg in func.args %} + assert isinstance(expr.inputs[{{ loop.index0 }}], ex.UnboundVariableExpression) + assert expr.inputs[{{ loop.index0 }}].id == "{{ arg.name }}" + {% endfor %} {% endfor %} diff --git a/packages/bigframes/specs/bigframes-bigquery-generator.md b/packages/bigframes/specs/bigframes-bigquery-generator.md index 26d1d45c9f51..1078bbd05a3c 100644 --- a/packages/bigframes/specs/bigframes-bigquery-generator.md +++ b/packages/bigframes/specs/bigframes-bigquery-generator.md @@ -11,10 +11,9 @@ generates python submodules for the `bigframes.bigquery` module. When run without any arguments, it iterates through all yaml files at `packages/bigframes/scripts/data/sql-functions/**/*.yaml` to generate the code. -The script at `packages/bigframes/scripts/check_bigframes_bigquery.py` iterates -through all the same yaml files and checks that the functions have been included -in the `bigframes.bigquery` module, as the `__init__.py` file requires manual -updates. +The script also generates a unit test that verifies that the functions have been +included in the `bigframes.bigquery` module, which is important to check, as the +`__init__.py` file requires manual updates. ## Running the generator diff --git a/packages/bigframes/tests/unit/operations/googlesql/__init__.py b/packages/bigframes/tests/unit/bigquery/generated/__init__.py similarity index 100% rename from packages/bigframes/tests/unit/operations/googlesql/__init__.py rename to packages/bigframes/tests/unit/bigquery/generated/__init__.py diff --git a/packages/bigframes/tests/unit/bigquery/generated/global_namespace/__init__.py b/packages/bigframes/tests/unit/bigquery/generated/global_namespace/__init__.py new file mode 100644 index 000000000000..58d482ea3866 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/generated/global_namespace/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_aead_encryption.py b/packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_aead_encryption.py new file mode 100644 index 000000000000..818151952ff0 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_aead_encryption.py @@ -0,0 +1,101 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# DO NOT MODIFY THIS FILE DIRECTLY. +# This file was generated from: scripts/data/sql-functions/global_namespace/aead_encryption.yaml +# by the script: scripts/generate_bigframes_bigquery.py + +import bigframes.bigquery as bbq +import bigframes.core.col +import bigframes.core.expression as ex +import bigframes.operations.googlesql.global_namespace.aead_encryption as aead_encryption_op +import bigframes.pandas as bpd + + +def test_deterministic_decrypt_bytes_expression(): + # Call the function with col() expressions + result = bbq.deterministic_decrypt_bytes( + bpd.col("keyset"), + bpd.col("ciphertext"), + bpd.col("additional_data"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == aead_encryption_op._DETERMINISTIC_DECRYPT_BYTES_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "keyset" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "ciphertext" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "additional_data" + + +def test_deterministic_decrypt_string_expression(): + # Call the function with col() expressions + result = bbq.deterministic_decrypt_string( + bpd.col("keyset"), + bpd.col("ciphertext"), + bpd.col("additional_data"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == aead_encryption_op._DETERMINISTIC_DECRYPT_STRING_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "keyset" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "ciphertext" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "additional_data" + + +def test_deterministic_encrypt_expression(): + # Call the function with col() expressions + result = bbq.deterministic_encrypt( + bpd.col("keyset"), + bpd.col("plaintext"), + bpd.col("additional_data"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == aead_encryption_op._DETERMINISTIC_ENCRYPT_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "keyset" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "plaintext" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "additional_data" diff --git a/packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_array.py b/packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_array.py new file mode 100644 index 000000000000..56b853869024 --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/generated/global_namespace/test_array.py @@ -0,0 +1,339 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# DO NOT MODIFY THIS FILE DIRECTLY. +# This file was generated from: scripts/data/sql-functions/global_namespace/array.yaml +# by the script: scripts/generate_bigframes_bigquery.py + +import bigframes.bigquery as bbq +import bigframes.core.col +import bigframes.core.expression as ex +import bigframes.operations.googlesql.global_namespace.array as array_op +import bigframes.pandas as bpd + + +def test_array_concat_expression(): + # Call the function with col() expressions + result = bbq.array_concat( + bpd.col("array_expression_1"), + bpd.col("array_expression_2"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_CONCAT_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 2 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_expression_1" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "array_expression_2" + + +def test_array_first_expression(): + # Call the function with col() expressions + result = bbq.array_first( + bpd.col("array_expression"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_FIRST_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 1 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_expression" + + +def test_array_first_n_expression(): + # Call the function with col() expressions + result = bbq.array_first_n( + bpd.col("input_array"), + bpd.col("n"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_FIRST_N_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 2 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "input_array" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "n" + + +def test_array_includes_expression(): + # Call the function with col() expressions + result = bbq.array_includes( + bpd.col("array_to_search"), + bpd.col("search_value"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_INCLUDES_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 2 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_to_search" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "search_value" + + +def test_array_includes_all_expression(): + # Call the function with col() expressions + result = bbq.array_includes_all( + bpd.col("array_to_search"), + bpd.col("search_values"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_INCLUDES_ALL_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 2 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_to_search" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "search_values" + + +def test_array_includes_any_expression(): + # Call the function with col() expressions + result = bbq.array_includes_any( + bpd.col("array_to_search"), + bpd.col("search_values"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_INCLUDES_ANY_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 2 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_to_search" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "search_values" + + +def test_array_is_distinct_expression(): + # Call the function with col() expressions + result = bbq.array_is_distinct( + bpd.col("array_expression"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_IS_DISTINCT_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 1 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_expression" + + +def test_array_last_expression(): + # Call the function with col() expressions + result = bbq.array_last( + bpd.col("array_expression"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_LAST_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 1 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_expression" + + +def test_array_length_expression(): + # Call the function with col() expressions + result = bbq.array_length( + bpd.col("series"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_LENGTH_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 1 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "series" + + +def test_array_reverse_expression(): + # Call the function with col() expressions + result = bbq.array_reverse( + bpd.col("value"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_REVERSE_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 1 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "value" + + +def test_array_slice_expression(): + # Call the function with col() expressions + result = bbq.array_slice( + bpd.col("array_to_slice"), + bpd.col("start_offset"), + bpd.col("end_offset"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_SLICE_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_to_slice" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "start_offset" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "end_offset" + + +def test_array_to_string_expression(): + # Call the function with col() expressions + result = bbq.array_to_string( + bpd.col("series"), + bpd.col("delimiter"), + bpd.col("null_text"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._ARRAY_TO_STRING_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "series" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "delimiter" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "null_text" + + +def test_flatten_expression(): + # Call the function with col() expressions + result = bbq.flatten( + bpd.col("array_to_flatten"), + bpd.col("depth"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._FLATTEN_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 2 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "array_to_flatten" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "depth" + + +def test_generate_array_expression(): + # Call the function with col() expressions + result = bbq.generate_array( + bpd.col("start_expression"), + bpd.col("end_expression"), + bpd.col("step_expression"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == array_op._GENERATE_ARRAY_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "start_expression" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "end_expression" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "step_expression" diff --git a/packages/bigframes/tests/unit/bigquery/generated/test_aead.py b/packages/bigframes/tests/unit/bigquery/generated/test_aead.py new file mode 100644 index 000000000000..ce728b41899d --- /dev/null +++ b/packages/bigframes/tests/unit/bigquery/generated/test_aead.py @@ -0,0 +1,101 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# DO NOT MODIFY THIS FILE DIRECTLY. +# This file was generated from: scripts/data/sql-functions/aead.yaml +# by the script: scripts/generate_bigframes_bigquery.py + +import bigframes.bigquery as bbq +import bigframes.core.col +import bigframes.core.expression as ex +import bigframes.operations.googlesql.aead as aead_op +import bigframes.pandas as bpd + + +def test_decrypt_bytes_expression(): + # Call the function with col() expressions + result = bbq.aead.decrypt_bytes( + bpd.col("keyset"), + bpd.col("ciphertext"), + bpd.col("additional_data"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == aead_op._DECRYPT_BYTES_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "keyset" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "ciphertext" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "additional_data" + + +def test_decrypt_string_expression(): + # Call the function with col() expressions + result = bbq.aead.decrypt_string( + bpd.col("keyset"), + bpd.col("ciphertext"), + bpd.col("additional_data"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == aead_op._DECRYPT_STRING_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "keyset" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "ciphertext" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "additional_data" + + +def test_encrypt_expression(): + # Call the function with col() expressions + result = bbq.aead.encrypt( + bpd.col("keyset"), + bpd.col("plaintext"), + bpd.col("additional_data"), + ) + + # Verify result is a col Expression + assert isinstance(result, bigframes.core.col.Expression) + + # Verify the internal expression structure + expr = result._value + assert isinstance(expr, ex.OpExpression) + assert expr.op == aead_op._ENCRYPT_OP + + # Verify arguments are free variables matching the names + assert len(expr.inputs) == 3 + assert isinstance(expr.inputs[0], ex.UnboundVariableExpression) + assert expr.inputs[0].id == "keyset" + assert isinstance(expr.inputs[1], ex.UnboundVariableExpression) + assert expr.inputs[1].id == "plaintext" + assert isinstance(expr.inputs[2], ex.UnboundVariableExpression) + assert expr.inputs[2].id == "additional_data" diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql deleted file mode 100644 index 1a567e3b002b..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_bytes/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - DETERMINISTIC_DECRYPT_BYTES(`bytes_col`, `bytes_col`, `bytes_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql deleted file mode 100644 index 84625951e6da..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_decrypt_string/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - DETERMINISTIC_DECRYPT_STRING(`bytes_col`, `bytes_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql deleted file mode 100644 index 659097ded956..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_aead_encryption/test_deterministic_encrypt/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - DETERMINISTIC_ENCRYPT(`bytes_col`, `bytes_col`, `bytes_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_concat/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_concat/out.sql deleted file mode 100644 index b1d41e97159f..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_concat/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_CONCAT(`string_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first/out.sql deleted file mode 100644 index 0f3f2beb6e62..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_FIRST(`string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first_n/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first_n/out.sql deleted file mode 100644 index 6ab58dbb41b6..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_first_n/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_FIRST_N(`string_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes/out.sql deleted file mode 100644 index 8690d4f27331..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_INCLUDES(`string_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_all/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_all/out.sql deleted file mode 100644 index 2168da4ae6e3..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_all/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_INCLUDES_ALL(`string_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_any/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_any/out.sql deleted file mode 100644 index 4f02b174612a..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_includes_any/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_INCLUDES_ANY(`string_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql deleted file mode 100644 index d9357d67c26d..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_is_distinct/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_IS_DISTINCT(`string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_last/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_last/out.sql deleted file mode 100644 index 174a1ad1f6b1..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_last/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_LAST(`string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_length/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_length/out.sql deleted file mode 100644 index 3bd4e6efaa93..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_length/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_LENGTH(`string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_reverse/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_reverse/out.sql deleted file mode 100644 index d2a1d8afc81f..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_reverse/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_REVERSE(`string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_slice/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_slice/out.sql deleted file mode 100644 index 92c324949325..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_slice/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_SLICE(`string_col`, `string_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_to_string/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_to_string/out.sql deleted file mode 100644 index ec65429215aa..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_array_to_string/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - ARRAY_TO_STRING(`string_col`, `bytes_col`, `bytes_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_flatten/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_flatten/out.sql deleted file mode 100644 index 997ee6ba6088..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_flatten/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - FLATTEN(`string_col`, depth => `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_generate_array/out.sql b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_generate_array/out.sql deleted file mode 100644 index 59a312ce9316..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/snapshots/test_array/test_generate_array/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - GENERATE_ARRAY(`string_col`, `string_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_aead_encryption.py b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_aead_encryption.py deleted file mode 100644 index 939eb5d2e114..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_aead_encryption.py +++ /dev/null @@ -1,56 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# DO NOT MODIFY THIS FILE DIRECTLY. -# This file was generated from: scripts/data/sql-functions/global_namespace/aead_encryption.yaml -# by the script: scripts/generate_bigframes_bigquery.py - -from typing import cast - -import pytest - -import bigframes.operations.googlesql.global_namespace.aead_encryption as aead_encryption -import bigframes.pandas as bpd - -pytest.importorskip("pytest_snapshot") - - -def test_deterministic_decrypt_bytes(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, aead_encryption.deterministic_decrypt_bytes( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_deterministic_decrypt_string(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, aead_encryption.deterministic_decrypt_string( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_deterministic_encrypt(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, aead_encryption.deterministic_encrypt( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") diff --git a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py b/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py deleted file mode 100644 index f2a1da696902..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/global_namespace/test_array.py +++ /dev/null @@ -1,150 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# DO NOT MODIFY THIS FILE DIRECTLY. -# This file was generated from: scripts/data/sql-functions/global_namespace/array.yaml -# by the script: scripts/generate_bigframes_bigquery.py - -from typing import cast - -import pytest - -import bigframes.operations.googlesql.global_namespace.array as array -import bigframes.pandas as bpd - -pytest.importorskip("pytest_snapshot") - - -def test_array_concat(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_concat( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_first(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_first( - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_first_n(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_first_n( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_includes(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_includes( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_includes_all(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_includes_all( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_includes_any(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_includes_any( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_is_distinct(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_is_distinct( - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_last(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_last( - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_length(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_length( - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_reverse(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_reverse( - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_slice(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_slice( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_array_to_string(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.array_to_string( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_flatten(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.flatten( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_generate_array(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, array.generate_array( - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") diff --git a/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_bytes/out.sql b/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_bytes/out.sql deleted file mode 100644 index 5b8b6416b36f..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_bytes/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - AEAD.DECRYPT_BYTES(`bytes_col`, `bytes_col`, `bytes_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_string/out.sql b/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_string/out.sql deleted file mode 100644 index 97b1ccff9c75..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_decrypt_string/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - AEAD.DECRYPT_STRING(`bytes_col`, `bytes_col`, `string_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_encrypt/out.sql b/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_encrypt/out.sql deleted file mode 100644 index 9ab9f8c0a7bb..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/snapshots/test_aead/test_encrypt/out.sql +++ /dev/null @@ -1,4 +0,0 @@ -SELECT - `rowindex`, - AEAD.ENCRYPT(`bytes_col`, `bytes_col`, `bytes_col`) AS `0` -FROM `bigframes-dev`.`sqlglot_test`.`scalar_types` AS `bft_0` diff --git a/packages/bigframes/tests/unit/operations/googlesql/test_aead.py b/packages/bigframes/tests/unit/operations/googlesql/test_aead.py deleted file mode 100644 index 9c608ff6f21d..000000000000 --- a/packages/bigframes/tests/unit/operations/googlesql/test_aead.py +++ /dev/null @@ -1,56 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# DO NOT MODIFY THIS FILE DIRECTLY. -# This file was generated from: scripts/data/sql-functions/aead.yaml -# by the script: scripts/generate_bigframes_bigquery.py - -from typing import cast - -import pytest - -import bigframes.operations.googlesql.aead as aead -import bigframes.pandas as bpd - -pytest.importorskip("pytest_snapshot") - - -def test_decrypt_bytes(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, aead.decrypt_bytes( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_decrypt_string(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, aead.decrypt_string( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["string_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") - - -def test_encrypt(scalar_types_df: bpd.DataFrame, snapshot): - result = cast(bpd.Series, aead.encrypt( - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - cast(bpd.Series, scalar_types_df["bytes_col"]), - )).to_frame() - - snapshot.assert_match(result.sql.rstrip() + "\n", "out.sql") From 208f7dae22cd850011d244909dbaa6fd1fadfd4e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 15:29:56 +0000 Subject: [PATCH 13/22] ruff format --- .../bigframes/operations/googlesql/aead.py | 54 +++++- .../global_namespace/aead_encryption.py | 54 +++++- .../googlesql/global_namespace/array.py | 160 +++++++++++++++--- .../scripts/generate_bigframes_bigquery.py | 4 +- 4 files changed, 223 insertions(+), 49 deletions(-) diff --git a/packages/bigframes/bigframes/operations/googlesql/aead.py b/packages/bigframes/bigframes/operations/googlesql/aead.py index 6bdc6979ea39..cf004723673a 100644 --- a/packages/bigframes/bigframes/operations/googlesql/aead.py +++ b/packages/bigframes/bigframes/operations/googlesql/aead.py @@ -48,9 +48,21 @@ def decrypt_bytes( - keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], - ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], - additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], + keyset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], + ], + ciphertext: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], + ], + additional_data: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Uses the matching key from keyset to decrypt ciphertext and verifies the integrity of the data using additional_data. Returns an error if decryption or verification fails.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -62,9 +74,21 @@ def decrypt_bytes( def decrypt_string( - keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], - ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], - additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str]], + keyset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], + ], + ciphertext: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], + ], + additional_data: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Like AEAD.DECRYPT_BYTES, but where additional_data is of type STRING.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -76,9 +100,21 @@ def decrypt_string( def encrypt( - keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], - plaintext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], - additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], + keyset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], + ], + plaintext: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ], + additional_data: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Encrypts plaintext using the primary cryptographic key in keyset. The algorithm of the primary key must be AEAD_AES_GCM_256. Binds the ciphertext to the context defined by additional_data. Returns NULL if any input is NULL.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( diff --git a/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py b/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py index 8275b45a8397..66c42516861d 100644 --- a/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py +++ b/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py @@ -48,9 +48,21 @@ def deterministic_decrypt_bytes( - keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], - ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], - additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], + keyset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], + ], + ciphertext: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], + ], + additional_data: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Uses the matching key from `keyset` to decrypt `ciphertext` and verifies the integrity of the data using `additional_data`. Returns an error if decryption fails.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -62,9 +74,21 @@ def deterministic_decrypt_bytes( def deterministic_decrypt_string( - keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], - ciphertext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes]], - additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str]], + keyset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], + ], + ciphertext: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes], + ], + additional_data: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Like `DETERMINISTIC_DECRYPT_BYTES`, but where plaintext is of type STRING.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -76,9 +100,21 @@ def deterministic_decrypt_string( def deterministic_encrypt( - keyset: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict]], - plaintext: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], - additional_data: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], + keyset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, dict], + ], + plaintext: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ], + additional_data: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Encrypts `plaintext` using the primary cryptographic key in `keyset` using deterministic AEAD. The algorithm of the primary key must be `DETERMINISTIC_AEAD_AES_SIV_CMAC_256`. Binds the ciphertext to the context defined by `additional_data`. Returns `NULL` if any input is `NULL`.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( diff --git a/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py b/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py index eb957445553e..6b1af6d225a8 100644 --- a/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py +++ b/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py @@ -103,8 +103,16 @@ def array_concat( - array_expression_1: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - array_expression_2: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_expression_1: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + array_expression_2: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Concatenates one or more arrays with the same element type into a single array.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -115,7 +123,11 @@ def array_concat( def array_first( - array_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_expression: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns the first element in the array.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -125,8 +137,16 @@ def array_first( def array_first_n( - input_array: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - n: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + input_array: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + n: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns a prefix of `input_array` consisting of the first `n` elements.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -137,8 +157,16 @@ def array_first_n( def array_includes( - array_to_search: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - search_value: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_to_search: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + search_value: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns `TRUE` if there is an element in the array that is equal to the search_value.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -149,8 +177,16 @@ def array_includes( def array_includes_all( - array_to_search: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - search_values: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_to_search: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + search_values: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array to search and an array of search values. Returns `TRUE` if all search values are in the array to search, otherwise returns `FALSE`.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -161,8 +197,16 @@ def array_includes_all( def array_includes_any( - array_to_search: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - search_values: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_to_search: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + search_values: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array to search and an array of search values. Returns `TRUE` if any search values are in the array to search, otherwise returns `FALSE`.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -173,7 +217,11 @@ def array_includes_any( def array_is_distinct( - array_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_expression: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns `TRUE` if the array contains no repeated elements, using the same equality comparison logic as `SELECT DISTINCT`.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -183,7 +231,11 @@ def array_is_distinct( def array_last( - array_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_expression: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array and returns the last element in the array.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -193,7 +245,11 @@ def array_last( def array_length( - series: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + series: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Compute the length of each array element in the Series. @@ -223,7 +279,7 @@ def array_length( Returns: bigframes.series.Series: A Series of integer values indicating the length of each element in the Series. -""" + """ return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_LENGTH_OP, series, @@ -231,7 +287,11 @@ def array_length( def array_reverse( - value: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + value: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns the input `ARRAY` with elements in reverse order.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -241,9 +301,21 @@ def array_reverse( def array_slice( - array_to_slice: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - start_offset: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - end_offset: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], + array_to_slice: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + start_offset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + end_offset: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array containing zero or more consecutive elements from the input array.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -255,9 +327,21 @@ def array_slice( def array_to_string( - series: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - delimiter: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]], - null_text: Union[series.Series, bigframes.core.col.Expression, Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str]] = sentinels.Sentinel.ARGUMENT_DEFAULT, + series: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + delimiter: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ], + null_text: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], bytes, str], + ] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Converts array elements within a Series into delimited strings. @@ -282,7 +366,7 @@ def array_to_string( Returns: bigframes.series.Series: A Series containing delimited strings. -""" + """ return bigframes.core.googlesql.apply_googlesql_scalar_op( _ARRAY_TO_STRING_OP, series, @@ -292,8 +376,16 @@ def array_to_string( def flatten( - array_to_flatten: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - depth: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]] = sentinels.Sentinel.ARGUMENT_DEFAULT, + array_to_flatten: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + depth: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array of nested data and flattens a specific part of it into a single, flat array with the [array elements field access operator][array-el-field-operator]. Returns `NULL` if the input value is `NULL`.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( @@ -304,9 +396,21 @@ def flatten( def generate_array( - start_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - end_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]], - step_expression: Union[series.Series, bigframes.core.col.Expression, Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]]] = sentinels.Sentinel.ARGUMENT_DEFAULT, + start_expression: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + end_expression: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ], + step_expression: Union[ + series.Series, + bigframes.core.col.Expression, + Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + ] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array of values. The `start_expression` and `end_expression` parameters determine the inclusive start and end of the array.""" return bigframes.core.googlesql.apply_googlesql_scalar_op( diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index 571b116d37d9..52d876dd5810 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -263,9 +263,7 @@ def run_ruff(path: pathlib.Path): ) -def ensure_init_py( - directory: pathlib.Path, limit_dir: pathlib.Path, license_template -): +def ensure_init_py(directory: pathlib.Path, limit_dir: pathlib.Path, license_template): """Ensures __init__.py exists in the directory and its parents up to limit_dir.""" curr = directory while curr != limit_dir and curr != curr.parent: From 8ae9eff0feef9a952d33a42e56d373cca7c51362 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 15:33:20 +0000 Subject: [PATCH 14/22] automatically format --- .../scripts/generate_bigframes_bigquery.py | 26 +++++++++++++++---- 1 file changed, 21 insertions(+), 5 deletions(-) diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index 52d876dd5810..b3f3ac67a137 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -38,15 +38,22 @@ # Directory containing the Jinja2 templates TEMPLATE_DIR = pathlib.Path("scripts/templates") -RUFF_ARGS = [ +RUFF_COMMON_ARGS = [ + "--target-version=py310", + "--line-length=88", +] +RUFF_CHECK_ARGS = [ "ruff", "check", "--select", "I", "--fix", - "--target-version=py310", - "--line-length=88", -] +] + RUFF_COMMON_ARGS +RUFF_FORMAT_ARGS = [ + "ruff", + "format", +] + RUFF_COMMON_ARGS + DTYPE_MAP = { "binary": "dtypes.BYTES_DTYPE", @@ -255,7 +262,16 @@ def run_ruff(path: pathlib.Path): subprocess.run( [sys.executable, "-m", "ruff"] - + RUFF_ARGS[1:] + + RUFF_CHECK_ARGS[1:] + + [ + str(path), + ], + check=True, + ) + + subprocess.run( + [sys.executable, "-m", "ruff"] + + RUFF_FORMAT_ARGS[1:] + [ str(path), ], From 3d144f89ac7c111e91d6cc282f8d3057b70159c2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 17:34:01 +0000 Subject: [PATCH 15/22] generate signatures --- .../bigframes/operations/googlesql/aead.py | 1 + .../global_namespace/aead_encryption.py | 1 + .../googlesql/global_namespace/array.py | 479 +++++++++++++++++- .../scripts/generate_bigframes_bigquery.py | 154 +++++- .../scripts/templates/operation.py.j2 | 6 + .../tests/system/small/bigquery/test_array.py | 3 +- 6 files changed, 614 insertions(+), 30 deletions(-) diff --git a/packages/bigframes/bigframes/operations/googlesql/aead.py b/packages/bigframes/bigframes/operations/googlesql/aead.py index cf004723673a..8c461b3ff04b 100644 --- a/packages/bigframes/bigframes/operations/googlesql/aead.py +++ b/packages/bigframes/bigframes/operations/googlesql/aead.py @@ -19,6 +19,7 @@ from __future__ import annotations import datetime +import decimal from typing import Any, Literal, Optional, TypeVar, Union import bigframes.core.col diff --git a/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py b/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py index 66c42516861d..dd67027287a8 100644 --- a/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py +++ b/packages/bigframes/bigframes/operations/googlesql/global_namespace/aead_encryption.py @@ -19,6 +19,7 @@ from __future__ import annotations import datetime +import decimal from typing import Any, Literal, Optional, TypeVar, Union import bigframes.core.col diff --git a/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py b/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py index 6b1af6d225a8..3b0f93656442 100644 --- a/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py +++ b/packages/bigframes/bigframes/operations/googlesql/global_namespace/array.py @@ -19,6 +19,7 @@ from __future__ import annotations import datetime +import decimal from typing import Any, Literal, Optional, TypeVar, Union import bigframes.core.col @@ -30,75 +31,505 @@ from bigframes import dtypes from bigframes.operations import googlesql + +def _ARRAY_CONCAT_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (2 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok and args[1] is not None: + if not dtypes.is_array_like(args[1]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[1]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok: + if any1_val is not None: + return dtypes.list_type(any1_val) + else: + return None + + raise TypeError( + f"Could not find matching signature for array_concat with argument types: {[str(t) for t in args]}" + ) + + _ARRAY_CONCAT_OP = googlesql.GoogleSqlScalarOp( "ARRAY_CONCAT", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), - signature=lambda *args: None, + signature=_ARRAY_CONCAT_SIG, ) + + +def _ARRAY_FIRST_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (1 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok: + return any1_val + + raise TypeError( + f"Could not find matching signature for array_first with argument types: {[str(t) for t in args]}" + ) + + _ARRAY_FIRST_OP = googlesql.GoogleSqlScalarOp( "ARRAY_FIRST", args=(googlesql.ArgSpec(),), - signature=lambda *args: None, + signature=_ARRAY_FIRST_SIG, ) + + +def _ARRAY_FIRST_N_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (2 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok and args[1] is not None: + try: + if dtypes.coerce_to_common(args[1], dtypes.INT_DTYPE) != dtypes.INT_DTYPE: + match_ok = False + except TypeError: + match_ok = False + if match_ok: + if any1_val is not None: + return dtypes.list_type(any1_val) + else: + return None + + raise TypeError( + f"Could not find matching signature for array_first_n with argument types: {[str(t) for t in args]}" + ) + + _ARRAY_FIRST_N_OP = googlesql.GoogleSqlScalarOp( "ARRAY_FIRST_N", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), - signature=lambda *args: None, + signature=_ARRAY_FIRST_N_SIG, ) _ARRAY_INCLUDES_OP = googlesql.GoogleSqlScalarOp( "ARRAY_INCLUDES", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), - signature=lambda *args: None, + signature=lambda *args: dtypes.BOOL_DTYPE, ) _ARRAY_INCLUDES_ALL_OP = googlesql.GoogleSqlScalarOp( "ARRAY_INCLUDES_ALL", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), - signature=lambda *args: None, + signature=lambda *args: dtypes.BOOL_DTYPE, ) _ARRAY_INCLUDES_ANY_OP = googlesql.GoogleSqlScalarOp( "ARRAY_INCLUDES_ANY", args=(googlesql.ArgSpec(), googlesql.ArgSpec()), - signature=lambda *args: None, + signature=lambda *args: dtypes.BOOL_DTYPE, ) _ARRAY_IS_DISTINCT_OP = googlesql.GoogleSqlScalarOp( "ARRAY_IS_DISTINCT", args=(googlesql.ArgSpec(),), - signature=lambda *args: None, + signature=lambda *args: dtypes.BOOL_DTYPE, ) + + +def _ARRAY_LAST_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (1 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok: + return any1_val + + raise TypeError( + f"Could not find matching signature for array_last with argument types: {[str(t) for t in args]}" + ) + + _ARRAY_LAST_OP = googlesql.GoogleSqlScalarOp( "ARRAY_LAST", args=(googlesql.ArgSpec(),), - signature=lambda *args: None, + signature=_ARRAY_LAST_SIG, ) _ARRAY_LENGTH_OP = googlesql.GoogleSqlScalarOp( "ARRAY_LENGTH", args=(googlesql.ArgSpec(),), - signature=lambda *args: None, + signature=lambda *args: dtypes.INT_DTYPE, ) + + +def _ARRAY_REVERSE_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (1 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok: + if any1_val is not None: + return dtypes.list_type(any1_val) + else: + return None + + raise TypeError( + f"Could not find matching signature for array_reverse with argument types: {[str(t) for t in args]}" + ) + + _ARRAY_REVERSE_OP = googlesql.GoogleSqlScalarOp( "ARRAY_REVERSE", args=(googlesql.ArgSpec(),), - signature=lambda *args: None, + signature=_ARRAY_REVERSE_SIG, ) + + +def _ARRAY_SLICE_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (3 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok and args[1] is not None: + try: + if dtypes.coerce_to_common(args[1], dtypes.INT_DTYPE) != dtypes.INT_DTYPE: + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[2] is not None: + try: + if dtypes.coerce_to_common(args[2], dtypes.INT_DTYPE) != dtypes.INT_DTYPE: + match_ok = False + except TypeError: + match_ok = False + if match_ok: + if any1_val is not None: + return dtypes.list_type(any1_val) + else: + return None + + raise TypeError( + f"Could not find matching signature for array_slice with argument types: {[str(t) for t in args]}" + ) + + _ARRAY_SLICE_OP = googlesql.GoogleSqlScalarOp( "ARRAY_SLICE", args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec()), - signature=lambda *args: None, + signature=_ARRAY_SLICE_SIG, ) + + +def _ARRAY_TO_STRING_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (3 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + try: + if ( + dtypes.coerce_to_common(inner, dtypes.STRING_DTYPE) + != dtypes.STRING_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[1] is not None: + try: + if ( + dtypes.coerce_to_common(args[1], dtypes.STRING_DTYPE) + != dtypes.STRING_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[2] is not None: + try: + if ( + dtypes.coerce_to_common(args[2], dtypes.STRING_DTYPE) + != dtypes.STRING_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok: + return dtypes.STRING_DTYPE + + # Try matching impl 1 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + try: + if ( + dtypes.coerce_to_common(inner, dtypes.BYTES_DTYPE) + != dtypes.BYTES_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[1] is not None: + try: + if ( + dtypes.coerce_to_common(args[1], dtypes.BYTES_DTYPE) + != dtypes.BYTES_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[2] is not None: + try: + if ( + dtypes.coerce_to_common(args[2], dtypes.BYTES_DTYPE) + != dtypes.BYTES_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok: + return dtypes.BYTES_DTYPE + + raise TypeError( + f"Could not find matching signature for array_to_string with argument types: {[str(t) for t in args]}" + ) + + _ARRAY_TO_STRING_OP = googlesql.GoogleSqlScalarOp( "ARRAY_TO_STRING", args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec(optional=True)), - signature=lambda *args: None, + signature=_ARRAY_TO_STRING_SIG, ) + + +def _FLATTEN_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (2 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + if not dtypes.is_array_like(args[0]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[0]) + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + if match_ok and args[1] is not None: + try: + if dtypes.coerce_to_common(args[1], dtypes.INT_DTYPE) != dtypes.INT_DTYPE: + match_ok = False + except TypeError: + match_ok = False + if match_ok: + if any1_val is not None: + return dtypes.list_type(any1_val) + else: + return None + + raise TypeError( + f"Could not find matching signature for flatten with argument types: {[str(t) for t in args]}" + ) + + _FLATTEN_OP = googlesql.GoogleSqlScalarOp( "FLATTEN", args=(googlesql.ArgSpec(), googlesql.ArgSpec(arg_name="depth", optional=True)), - signature=lambda *args: None, + signature=_FLATTEN_SIG, ) + + +def _GENERATE_ARRAY_SIG(*args): + # Pad args with None to match max expected args + args = args + (None,) * (3 - len(args)) + # Try matching impl 0 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + try: + if dtypes.coerce_to_common(args[0], dtypes.INT_DTYPE) != dtypes.INT_DTYPE: + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[1] is not None: + try: + if dtypes.coerce_to_common(args[1], dtypes.INT_DTYPE) != dtypes.INT_DTYPE: + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[2] is not None: + try: + if dtypes.coerce_to_common(args[2], dtypes.INT_DTYPE) != dtypes.INT_DTYPE: + match_ok = False + except TypeError: + match_ok = False + if match_ok: + return dtypes.list_type(dtypes.INT_DTYPE) + + # Try matching impl 1 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + try: + if ( + dtypes.coerce_to_common(args[0], dtypes.NUMERIC_DTYPE) + != dtypes.NUMERIC_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[1] is not None: + try: + if ( + dtypes.coerce_to_common(args[1], dtypes.NUMERIC_DTYPE) + != dtypes.NUMERIC_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[2] is not None: + try: + if ( + dtypes.coerce_to_common(args[2], dtypes.NUMERIC_DTYPE) + != dtypes.NUMERIC_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok: + return dtypes.list_type(dtypes.NUMERIC_DTYPE) + + # Try matching impl 2 + any1_val = None + match_ok = True + if match_ok and args[0] is not None: + try: + if ( + dtypes.coerce_to_common(args[0], dtypes.FLOAT_DTYPE) + != dtypes.FLOAT_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[1] is not None: + try: + if ( + dtypes.coerce_to_common(args[1], dtypes.FLOAT_DTYPE) + != dtypes.FLOAT_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok and args[2] is not None: + try: + if ( + dtypes.coerce_to_common(args[2], dtypes.FLOAT_DTYPE) + != dtypes.FLOAT_DTYPE + ): + match_ok = False + except TypeError: + match_ok = False + if match_ok: + return dtypes.list_type(dtypes.FLOAT_DTYPE) + + raise TypeError( + f"Could not find matching signature for generate_array with argument types: {[str(t) for t in args]}" + ) + + _GENERATE_ARRAY_OP = googlesql.GoogleSqlScalarOp( "GENERATE_ARRAY", args=(googlesql.ArgSpec(), googlesql.ArgSpec(), googlesql.ArgSpec(optional=True)), - signature=lambda *args: None, + signature=_GENERATE_ARRAY_SIG, ) @@ -145,7 +576,7 @@ def array_first_n( n: Union[ series.Series, bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], int], ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns a prefix of `input_array` consisting of the first `n` elements.""" @@ -309,12 +740,12 @@ def array_slice( start_offset: Union[ series.Series, bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], int], ], end_offset: Union[ series.Series, bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], int], ], ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array containing zero or more consecutive elements from the input array.""" @@ -384,7 +815,7 @@ def flatten( depth: Union[ series.Series, bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], int], ] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Takes an array of nested data and flattens a specific part of it into a single, flat array with the [array elements field access operator][array-el-field-operator]. Returns `NULL` if the input value is `NULL`.""" @@ -399,17 +830,23 @@ def generate_array( start_expression: Union[ series.Series, bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + Union[ + Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], decimal.Decimal, float, int + ], ], end_expression: Union[ series.Series, bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + Union[ + Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], decimal.Decimal, float, int + ], ], step_expression: Union[ series.Series, bigframes.core.col.Expression, - Union[Any, Literal[sentinels.Sentinel.ARGUMENT_DEFAULT]], + Union[ + Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], decimal.Decimal, float, int + ], ] = sentinels.Sentinel.ARGUMENT_DEFAULT, ) -> Union[series.Series, bigframes.core.col.Expression]: """Returns an array of values. The `start_expression` and `end_expression` parameters determine the inclusive start and end of the array.""" diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index b3f3ac67a137..9053f2c4da0c 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -59,22 +59,29 @@ "binary": "dtypes.BYTES_DTYPE", "string": "dtypes.STRING_DTYPE", "int64": "dtypes.INT_DTYPE", + "i64": "dtypes.INT_DTYPE", "float64": "dtypes.FLOAT_DTYPE", + "fp64": "dtypes.FLOAT_DTYPE", "bool": "dtypes.BOOL_DTYPE", + "boolean": "dtypes.BOOL_DTYPE", "geography": "dtypes.GEO_DTYPE", "json": "dtypes.JSON_DTYPE", "date": "dtypes.DATE_DTYPE", "time": "dtypes.TIME_DTYPE", "datetime": "dtypes.DATETIME_DTYPE", "timestamp": "dtypes.TIMESTAMP_DTYPE", + "decimal<38,9>": "dtypes.NUMERIC_DTYPE", } PY_TYPE_MAP = { "binary": "bytes", "string": "str", "int64": "int", + "i64": "int", "float64": "float", + "fp64": "float", "bool": "bool", + "boolean": "bool", "geography": "Any", "json": "Any", "date": "datetime.date", @@ -82,19 +89,24 @@ "datetime": "datetime.datetime", "timestamp": "datetime.datetime", "struct": "dict", + "decimal<38,9>": "decimal.Decimal", } YAML_TYPE_TO_COL = { "binary": "bytes_col", "string": "string_col", "int64": "int64_col", + "i64": "int64_col", "float64": "float64_col", + "fp64": "float64_col", "bool": "bool_col", + "boolean": "bool_col", "geography": "geography_col", "date": "date_col", "time": "time_col", "datetime": "datetime_col", "timestamp": "timestamp_col", + "decimal<38,9>": "numeric_col", } @@ -152,14 +164,139 @@ def _build_arg_specs(args_by_name, arg_order): return arg_specs -def _get_return_signature(impls): +def _is_concrete_type(yaml_type): + if yaml_type in DTYPE_MAP: + return True + if yaml_type.startswith("list<") and yaml_type.endswith(">"): + inner = yaml_type[5:-1] + return inner in DTYPE_MAP + return False + + +def _get_concrete_type_expr(yaml_type): + if yaml_type in DTYPE_MAP: + return DTYPE_MAP[yaml_type] + if yaml_type.startswith("list<") and yaml_type.endswith(">"): + inner = yaml_type[5:-1] + return f"dtypes.list_type({DTYPE_MAP[inner]})" + raise ValueError(f"Not a concrete type: {yaml_type}") + + +def _gen_impl_match_block(impl, impl_idx, return_type_yaml): + lines = [] + lines.append(f" # Try matching impl {impl_idx}") + lines.append(" any1_val = None") + lines.append(" match_ok = True") + + for idx, arg in enumerate(impl["args"]): + arg_val = arg["value"] + arg_var = f"args[{idx}]" + + lines.append(f" if match_ok and {arg_var} is not None:") + + if arg_val == "any1": + lines.append(f" if any1_val is not None:") + lines.append(" try:") + lines.append(f" any1_val = dtypes.coerce_to_common(any1_val, {arg_var})") + lines.append(" except TypeError:") + lines.append(" match_ok = False") + lines.append(" else:") + lines.append(f" any1_val = {arg_var}") + + elif arg_val.startswith("list<") and arg_val.endswith(">"): + inner_type = arg_val[5:-1] + lines.append(f" if not dtypes.is_array_like({arg_var}):") + lines.append(" match_ok = False") + lines.append(" else:") + lines.append(f" inner = dtypes.get_array_inner_type({arg_var})") + + if inner_type == "any1": + lines.append(" if any1_val is not None:") + lines.append(" try:") + lines.append(" any1_val = dtypes.coerce_to_common(any1_val, inner)") + lines.append(" except TypeError:") + lines.append(" match_ok = False") + lines.append(" else:") + lines.append(" any1_val = inner") + else: + dtype_expr = DTYPE_MAP.get(inner_type) + if not dtype_expr: + raise ValueError(f"Unsupported inner type: {inner_type}") + lines.append(" try:") + lines.append(f" if dtypes.coerce_to_common(inner, {dtype_expr}) != {dtype_expr}:") + lines.append(" match_ok = False") + lines.append(" except TypeError:") + lines.append(" match_ok = False") + + elif arg_val == "struct": + lines.append(f" if not dtypes.is_struct_like({arg_var}):") + lines.append(" match_ok = False") + + else: + dtype_expr = DTYPE_MAP.get(arg_val) + if not dtype_expr: + raise ValueError(f"Unsupported type: {arg_val}") + lines.append(" try:") + lines.append(f" if dtypes.coerce_to_common({arg_var}, {dtype_expr}) != {dtype_expr}:") + lines.append(" match_ok = False") + lines.append(" except TypeError:") + lines.append(" match_ok = False") + + # If match_ok is still True, we resolved the inputs! + lines.append(" if match_ok:") + + if return_type_yaml == "any1": + lines.append(" return any1_val") + elif return_type_yaml.startswith("list<") and return_type_yaml.endswith(">"): + inner_type = return_type_yaml[5:-1] + if inner_type == "any1": + lines.append(" if any1_val is not None:") + lines.append(" return dtypes.list_type(any1_val)") + lines.append(" else:") + lines.append(" return None") + else: + dtype_expr = DTYPE_MAP.get(inner_type) + if not dtype_expr: + raise ValueError(f"Unsupported inner type: {inner_type}") + lines.append(f" return dtypes.list_type({dtype_expr})") + else: + dtype_expr = DTYPE_MAP.get(return_type_yaml) + if not dtype_expr: + raise ValueError(f"Unsupported type: {return_type_yaml}") + lines.append(f" return {dtype_expr}") + + return "\n".join(lines) + + +def _generate_signature_def(python_name, impls, sql_name): return_types = {impl["return"] for impl in impls} + + # Optimization: if all impls return the same concrete type, + # we can skip type checking and just return that type. if len(return_types) == 1: - ret_type = sorted(return_types)[0] - return f"lambda *args: {DTYPE_MAP.get(ret_type, 'None')}" - else: - # Fallback to Any/None if ambiguous - return "lambda *args: None" + ret_type = next(iter(return_types)) + if _is_concrete_type(ret_type): + sig_expr = f"lambda *args: {_get_concrete_type_expr(ret_type)}" + return sig_expr, None + + func_name = f"_{python_name.upper()}_SIG" + + lines = [] + lines.append(f"def {func_name}(*args):") + + max_args = max(len(impl["args"]) for impl in impls) + + lines.append(f" # Pad args with None to match max expected args") + lines.append(f" args = args + (None,) * ({max_args} - len(args))") + + for idx, impl in enumerate(impls): + block = _gen_impl_match_block(impl, idx, impl["return"]) + lines.append(block) + lines.append("") + + lines.append(f" raise TypeError(f\"Could not find matching signature for {sql_name} with argument types: {{[str(t) for t in args]}}\")") + + return func_name, "\n".join(lines) def _get_func_args(args_by_name, arg_order): @@ -227,14 +364,15 @@ def parse_scalar_functions(data, module_name, is_global=False): arg_specs_str += "," # Determine return dtype - signature = _get_return_signature(func_data["impls"]) + sig_name, sig_def = _generate_signature_def(python_name, func_data["impls"], sql_name) ops_list.append( { "internal_name": internal_op_name, "sql_name": sql_name.upper(), "arg_specs": arg_specs_str, - "signature": signature, + "signature": sig_name, + "signature_definition": sig_def, } ) diff --git a/packages/bigframes/scripts/templates/operation.py.j2 b/packages/bigframes/scripts/templates/operation.py.j2 index 9c61c0a41190..720d867986e2 100644 --- a/packages/bigframes/scripts/templates/operation.py.j2 +++ b/packages/bigframes/scripts/templates/operation.py.j2 @@ -8,6 +8,7 @@ from __future__ import annotations import datetime +import decimal from typing import Any, Literal, Optional, TypeVar, Union from bigframes import dtypes @@ -20,6 +21,11 @@ import bigframes.operations as ops import bigframes.series as series {% for op in ops %} +{% if op.signature_definition %} +{{ op.signature_definition }} + + +{% endif %} {{ op.internal_name }} = googlesql.GoogleSqlScalarOp( "{{ op.sql_name }}", args=({{ op.arg_specs }}), diff --git a/packages/bigframes/tests/system/small/bigquery/test_array.py b/packages/bigframes/tests/system/small/bigquery/test_array.py index 2aee7e61bd7d..148d84a22f3a 100644 --- a/packages/bigframes/tests/system/small/bigquery/test_array.py +++ b/packages/bigframes/tests/system/small/bigquery/test_array.py @@ -74,8 +74,9 @@ def test_array_length(input_data, expected): index=pd.Index(range(len(input_data)), dtype="Int64"), dtype=bigframes.dtypes.INT_DTYPE, ) + result = cast(bpd.Series, bbq.array_length(series)) pd.testing.assert_series_equal( - cast(bpd.Series, bbq.array_length(series)).to_pandas(), + result.to_pandas(), expected, check_index_type=False, ) From bfcea32c6fc25cb5aacec28fa3b0084d74d2a52b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 17:35:33 +0000 Subject: [PATCH 16/22] ruff format --- .../scripts/generate_bigframes_bigquery.py | 26 ++++++++++++++----- 1 file changed, 19 insertions(+), 7 deletions(-) diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index 9053f2c4da0c..bf6a8be21927 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -197,7 +197,9 @@ def _gen_impl_match_block(impl, impl_idx, return_type_yaml): if arg_val == "any1": lines.append(f" if any1_val is not None:") lines.append(" try:") - lines.append(f" any1_val = dtypes.coerce_to_common(any1_val, {arg_var})") + lines.append( + f" any1_val = dtypes.coerce_to_common(any1_val, {arg_var})" + ) lines.append(" except TypeError:") lines.append(" match_ok = False") lines.append(" else:") @@ -213,7 +215,9 @@ def _gen_impl_match_block(impl, impl_idx, return_type_yaml): if inner_type == "any1": lines.append(" if any1_val is not None:") lines.append(" try:") - lines.append(" any1_val = dtypes.coerce_to_common(any1_val, inner)") + lines.append( + " any1_val = dtypes.coerce_to_common(any1_val, inner)" + ) lines.append(" except TypeError:") lines.append(" match_ok = False") lines.append(" else:") @@ -221,9 +225,11 @@ def _gen_impl_match_block(impl, impl_idx, return_type_yaml): else: dtype_expr = DTYPE_MAP.get(inner_type) if not dtype_expr: - raise ValueError(f"Unsupported inner type: {inner_type}") + raise ValueError(f"Unsupported inner type: {inner_type}") lines.append(" try:") - lines.append(f" if dtypes.coerce_to_common(inner, {dtype_expr}) != {dtype_expr}:") + lines.append( + f" if dtypes.coerce_to_common(inner, {dtype_expr}) != {dtype_expr}:" + ) lines.append(" match_ok = False") lines.append(" except TypeError:") lines.append(" match_ok = False") @@ -237,7 +243,9 @@ def _gen_impl_match_block(impl, impl_idx, return_type_yaml): if not dtype_expr: raise ValueError(f"Unsupported type: {arg_val}") lines.append(" try:") - lines.append(f" if dtypes.coerce_to_common({arg_var}, {dtype_expr}) != {dtype_expr}:") + lines.append( + f" if dtypes.coerce_to_common({arg_var}, {dtype_expr}) != {dtype_expr}:" + ) lines.append(" match_ok = False") lines.append(" except TypeError:") lines.append(" match_ok = False") @@ -294,7 +302,9 @@ def _generate_signature_def(python_name, impls, sql_name): lines.append(block) lines.append("") - lines.append(f" raise TypeError(f\"Could not find matching signature for {sql_name} with argument types: {{[str(t) for t in args]}}\")") + lines.append( + f' raise TypeError(f"Could not find matching signature for {sql_name} with argument types: {{[str(t) for t in args]}}")' + ) return func_name, "\n".join(lines) @@ -364,7 +374,9 @@ def parse_scalar_functions(data, module_name, is_global=False): arg_specs_str += "," # Determine return dtype - sig_name, sig_def = _generate_signature_def(python_name, func_data["impls"], sql_name) + sig_name, sig_def = _generate_signature_def( + python_name, func_data["impls"], sql_name + ) ops_list.append( { From 6261134c143efdd5b3b008471441484b6113db43 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 17:45:48 +0000 Subject: [PATCH 17/22] refactor --- .../scripts/generate_bigframes_bigquery.py | 189 ++++++------------ .../scripts/templates/signature_def.py.j2 | 74 +++++++ 2 files changed, 138 insertions(+), 125 deletions(-) create mode 100644 packages/bigframes/scripts/templates/signature_def.py.j2 diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index bf6a8be21927..86d2a7f3e88b 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -126,11 +126,12 @@ def load_templates(): trim_blocks=True, lstrip_blocks=True, ) - return ( - env.get_template("operation.py.j2"), - env.get_template("test_operation.py.j2"), - env.get_template("license.py.j2"), - ) + return { + "operation": env.get_template("operation.py.j2"), + "test_operation": env.get_template("test_operation.py.j2"), + "license": env.get_template("license.py.j2"), + "signature_def": env.get_template("signature_def.py.j2"), + } def _collect_args(impls): @@ -182,101 +183,35 @@ def _get_concrete_type_expr(yaml_type): raise ValueError(f"Not a concrete type: {yaml_type}") -def _gen_impl_match_block(impl, impl_idx, return_type_yaml): - lines = [] - lines.append(f" # Try matching impl {impl_idx}") - lines.append(" any1_val = None") - lines.append(" match_ok = True") - - for idx, arg in enumerate(impl["args"]): - arg_val = arg["value"] - arg_var = f"args[{idx}]" - - lines.append(f" if match_ok and {arg_var} is not None:") - - if arg_val == "any1": - lines.append(f" if any1_val is not None:") - lines.append(" try:") - lines.append( - f" any1_val = dtypes.coerce_to_common(any1_val, {arg_var})" - ) - lines.append(" except TypeError:") - lines.append(" match_ok = False") - lines.append(" else:") - lines.append(f" any1_val = {arg_var}") - - elif arg_val.startswith("list<") and arg_val.endswith(">"): - inner_type = arg_val[5:-1] - lines.append(f" if not dtypes.is_array_like({arg_var}):") - lines.append(" match_ok = False") - lines.append(" else:") - lines.append(f" inner = dtypes.get_array_inner_type({arg_var})") - - if inner_type == "any1": - lines.append(" if any1_val is not None:") - lines.append(" try:") - lines.append( - " any1_val = dtypes.coerce_to_common(any1_val, inner)" - ) - lines.append(" except TypeError:") - lines.append(" match_ok = False") - lines.append(" else:") - lines.append(" any1_val = inner") - else: - dtype_expr = DTYPE_MAP.get(inner_type) - if not dtype_expr: - raise ValueError(f"Unsupported inner type: {inner_type}") - lines.append(" try:") - lines.append( - f" if dtypes.coerce_to_common(inner, {dtype_expr}) != {dtype_expr}:" - ) - lines.append(" match_ok = False") - lines.append(" except TypeError:") - lines.append(" match_ok = False") - - elif arg_val == "struct": - lines.append(f" if not dtypes.is_struct_like({arg_var}):") - lines.append(" match_ok = False") - - else: - dtype_expr = DTYPE_MAP.get(arg_val) - if not dtype_expr: - raise ValueError(f"Unsupported type: {arg_val}") - lines.append(" try:") - lines.append( - f" if dtypes.coerce_to_common({arg_var}, {dtype_expr}) != {dtype_expr}:" - ) - lines.append(" match_ok = False") - lines.append(" except TypeError:") - lines.append(" match_ok = False") - - # If match_ok is still True, we resolved the inputs! - lines.append(" if match_ok:") - - if return_type_yaml == "any1": - lines.append(" return any1_val") - elif return_type_yaml.startswith("list<") and return_type_yaml.endswith(">"): - inner_type = return_type_yaml[5:-1] - if inner_type == "any1": - lines.append(" if any1_val is not None:") - lines.append(" return dtypes.list_type(any1_val)") - lines.append(" else:") - lines.append(" return None") - else: - dtype_expr = DTYPE_MAP.get(inner_type) - if not dtype_expr: - raise ValueError(f"Unsupported inner type: {inner_type}") - lines.append(f" return dtypes.list_type({dtype_expr})") - else: - dtype_expr = DTYPE_MAP.get(return_type_yaml) - if not dtype_expr: - raise ValueError(f"Unsupported type: {return_type_yaml}") - lines.append(f" return {dtype_expr}") - - return "\n".join(lines) - - -def _generate_signature_def(python_name, impls, sql_name): +def _validate_types(impls): + for impl in impls: + for arg in impl["args"]: + val = arg["value"] + if val == "any1": + continue + if val.startswith("list<") and val.endswith(">"): + inner = val[5:-1] + if inner != "any1" and inner not in DTYPE_MAP: + raise ValueError(f"Unsupported inner type: {inner}") + continue + if val == "struct": + continue + if val not in DTYPE_MAP: + raise ValueError(f"Unsupported type: {val}") + + ret = impl["return"] + if ret == "any1": + continue + if ret.startswith("list<") and ret.endswith(">"): + inner = ret[5:-1] + if inner != "any1" and inner not in DTYPE_MAP: + raise ValueError(f"Unsupported inner type: {inner}") + continue + if ret not in DTYPE_MAP: + raise ValueError(f"Unsupported type: {ret}") + + +def _generate_signature_def(python_name, impls, sql_name, template): return_types = {impl["return"] for impl in impls} # Optimization: if all impls return the same concrete type, @@ -287,26 +222,20 @@ def _generate_signature_def(python_name, impls, sql_name): sig_expr = f"lambda *args: {_get_concrete_type_expr(ret_type)}" return sig_expr, None - func_name = f"_{python_name.upper()}_SIG" - - lines = [] - lines.append(f"def {func_name}(*args):") + _validate_types(impls) + func_name = f"_{python_name.upper()}_SIG" max_args = max(len(impl["args"]) for impl in impls) - lines.append(f" # Pad args with None to match max expected args") - lines.append(f" args = args + (None,) * ({max_args} - len(args))") - - for idx, impl in enumerate(impls): - block = _gen_impl_match_block(impl, idx, impl["return"]) - lines.append(block) - lines.append("") - - lines.append( - f' raise TypeError(f"Could not find matching signature for {sql_name} with argument types: {{[str(t) for t in args]}}")' + rendered = template.render( + func_name=func_name, + max_args=max_args, + impls=impls, + sql_name=sql_name, + dtype_map=DTYPE_MAP, ) - return func_name, "\n".join(lines) + return func_name, rendered def _get_func_args(args_by_name, arg_order): @@ -349,7 +278,9 @@ def _get_test_args(args_by_name, arg_order): return test_args -def parse_scalar_functions(data, module_name, is_global=False): +def parse_scalar_functions( + data, module_name, signature_def_template, is_global=False +): ops_list = [] functions_list = [] @@ -375,7 +306,10 @@ def parse_scalar_functions(data, module_name, is_global=False): # Determine return dtype sig_name, sig_def = _generate_signature_def( - python_name, func_data["impls"], sql_name + python_name, + func_data["impls"], + sql_name, + signature_def_template, ) ops_list.append( @@ -443,7 +377,7 @@ def ensure_init_py(directory: pathlib.Path, limit_dir: pathlib.Path, license_tem curr = curr.parent -def process_yaml_file(yaml_file, template, test_template, license_template): +def process_yaml_file(yaml_file, templates): print(f"Processing {yaml_file}...") with open(yaml_file, "r") as f: data = yaml.safe_load(f) @@ -455,13 +389,16 @@ def process_yaml_file(yaml_file, template, test_template, license_template): is_global = "global_namespace" in module_path.parts ops_list, functions_list = parse_scalar_functions( - data, module_name, is_global=is_global + data, + module_name, + templates["signature_def"], + is_global=is_global, ) # Render and write output_file.parent.mkdir(parents=True, exist_ok=True) - ensure_init_py(output_file.parent, OUTPUT_DIR.parent, license_template) - content = template.render( + ensure_init_py(output_file.parent, OUTPUT_DIR.parent, templates["license"]) + content = templates["operation"].render( yaml_path=str(yaml_file), script_path="scripts/generate_bigframes_bigquery.py", ops=ops_list, @@ -480,8 +417,10 @@ def process_yaml_file(yaml_file, template, test_template, license_template): ).with_suffix(".py") test_output_file.parent.mkdir(parents=True, exist_ok=True) - ensure_init_py(test_output_file.parent, TEST_OUTPUT_DIR.parent, license_template) - test_content = test_template.render( + ensure_init_py( + test_output_file.parent, TEST_OUTPUT_DIR.parent, templates["license"] + ) + test_content = templates["test_operation"].render( yaml_path=str(yaml_file), script_path="scripts/generate_bigframes_bigquery.py", import_path=import_path, @@ -497,10 +436,10 @@ def process_yaml_file(yaml_file, template, test_template, license_template): def main(): - template, test_template, license_template = load_templates() + templates = load_templates() for yaml_file in sorted(DATA_DIR.glob("**/*.yaml")): - process_yaml_file(yaml_file, template, test_template, license_template) + process_yaml_file(yaml_file, templates) if __name__ == "__main__": diff --git a/packages/bigframes/scripts/templates/signature_def.py.j2 b/packages/bigframes/scripts/templates/signature_def.py.j2 new file mode 100644 index 000000000000..ad1871f7df6d --- /dev/null +++ b/packages/bigframes/scripts/templates/signature_def.py.j2 @@ -0,0 +1,74 @@ +def {{ func_name }}(*args): + # Pad args with None to match max expected args + args = args + (None,) * ({{ max_args }} - len(args)) + {% for impl in impls %} + # Try matching impl {{ loop.index0 }} + any1_val = None + match_ok = True + {% for arg in impl.args %} + {% set idx = loop.index0 %} + if match_ok and args[{{ idx }}] is not None: + {% if arg.value == "any1" %} + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, args[{{ idx }}]) + except TypeError: + match_ok = False + else: + any1_val = args[{{ idx }}] + {% elif arg.value.startswith("list<") and arg.value.endswith(">") %} + {% set inner_type = arg.value[5:-1] %} + if not dtypes.is_array_like(args[{{ idx }}]): + match_ok = False + else: + inner = dtypes.get_array_inner_type(args[{{ idx }}]) + {% if inner_type == "any1" %} + if any1_val is not None: + try: + any1_val = dtypes.coerce_to_common(any1_val, inner) + except TypeError: + match_ok = False + else: + any1_val = inner + {% else %} + {% set dtype_expr = dtype_map[inner_type] %} + try: + if dtypes.coerce_to_common(inner, {{ dtype_expr }}) != {{ dtype_expr }}: + match_ok = False + except TypeError: + match_ok = False + {% endif %} + {% elif arg.value == "struct" %} + if not dtypes.is_struct_like(args[{{ idx }}]): + match_ok = False + {% else %} + {% set dtype_expr = dtype_map[arg.value] %} + try: + if dtypes.coerce_to_common(args[{{ idx }}], {{ dtype_expr }}) != {{ dtype_expr }}: + match_ok = False + except TypeError: + match_ok = False + {% endif %} + {% endfor %} + if match_ok: + {% set return_type_yaml = impl.return %} + {% if return_type_yaml == "any1" %} + return any1_val + {% elif return_type_yaml.startswith("list<") and return_type_yaml.endswith(">") %} + {% set inner_type = return_type_yaml[5:-1] %} + {% if inner_type == "any1" %} + if any1_val is not None: + return dtypes.list_type(any1_val) + else: + return None + {% else %} + {% set dtype_expr = dtype_map[inner_type] %} + return dtypes.list_type({{ dtype_expr }}) + {% endif %} + {% else %} + {% set dtype_expr = dtype_map[return_type_yaml] %} + return {{ dtype_expr }} + {% endif %} + + {% endfor %} + raise TypeError(f"Could not find matching signature for {{ sql_name }} with argument types: {[str(t) for t in args]}") From 7debae5b1f42f4c3d0dc4a6b1386f5e7708b0baa Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 17:47:34 +0000 Subject: [PATCH 18/22] ruff format --- packages/bigframes/scripts/generate_bigframes_bigquery.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/packages/bigframes/scripts/generate_bigframes_bigquery.py b/packages/bigframes/scripts/generate_bigframes_bigquery.py index 86d2a7f3e88b..afdda2a5f98b 100755 --- a/packages/bigframes/scripts/generate_bigframes_bigquery.py +++ b/packages/bigframes/scripts/generate_bigframes_bigquery.py @@ -278,9 +278,7 @@ def _get_test_args(args_by_name, arg_order): return test_args -def parse_scalar_functions( - data, module_name, signature_def_template, is_global=False -): +def parse_scalar_functions(data, module_name, signature_def_template, is_global=False): ops_list = [] functions_list = [] From 3f4a987382b9cf367a6129d6d1bb273c527aecbd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 18:59:31 +0000 Subject: [PATCH 19/22] add alignment for omitted args --- packages/bigframes/bigframes/series.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/packages/bigframes/bigframes/series.py b/packages/bigframes/bigframes/series.py index 1065744f1716..fdec68c6ea42 100644 --- a/packages/bigframes/bigframes/series.py +++ b/packages/bigframes/bigframes/series.py @@ -51,6 +51,7 @@ import bigframes.core import bigframes.core.block_transforms as block_ops import bigframes.core.blocks as blocks +import bigframes.core.col import bigframes.core.expression as ex import bigframes.core.identifiers as ids import bigframes.core.indexers @@ -2764,7 +2765,7 @@ def _align3( def _align_n( self, - others: typing.Sequence[typing.Union[Series, scalars.Scalar]], + others: typing.Sequence[typing.Union[Series, bigframes.core.col.Expression,scalars.Scalar]], how="outer", ignore_self=False, cast_scalars: bool = False, @@ -2798,6 +2799,19 @@ def _align_n( *remapped_value_ids, # type: ignore ex.deref(get_column_right[other._value_column]), ] + elif isinstance(other, bigframes.core.col.Expression): + if isinstance(other._value, ex.OmittedArg): + continue + + label_to_col_ref = { + label: ex.deref(id) for id, label in block.col_id_to_label.items() + } + resolved_expr = other._value.bind_variables(label_to_col_ref) + block = block.project_block_exprs([resolved_expr], labels=[None]) + value_ids = [ + *value_ids, + ex.deref(block.value_columns[-1]) + ] else: # Will throw if can't interpret as scalar. dtype = typing.cast(bigframes.dtypes.Dtype, self._dtype) From c4a49dab9009d340aa3956d63f8686b7c7328696 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 19:09:42 +0000 Subject: [PATCH 20/22] add tests and format --- packages/bigframes/bigframes/series.py | 11 +++--- .../tests/unit/test_series_polars.py | 39 +++++++++++++++++++ 2 files changed, 44 insertions(+), 6 deletions(-) diff --git a/packages/bigframes/bigframes/series.py b/packages/bigframes/bigframes/series.py index fdec68c6ea42..41336940b48a 100644 --- a/packages/bigframes/bigframes/series.py +++ b/packages/bigframes/bigframes/series.py @@ -2765,7 +2765,9 @@ def _align3( def _align_n( self, - others: typing.Sequence[typing.Union[Series, bigframes.core.col.Expression,scalars.Scalar]], + others: typing.Sequence[ + typing.Union[Series, bigframes.core.col.Expression, scalars.Scalar] + ], how="outer", ignore_self=False, cast_scalars: bool = False, @@ -2804,14 +2806,11 @@ def _align_n( continue label_to_col_ref = { - label: ex.deref(id) for id, label in block.col_id_to_label.items() + label: ex.deref(id) for id, label in block.col_id_to_label.items() } resolved_expr = other._value.bind_variables(label_to_col_ref) block = block.project_block_exprs([resolved_expr], labels=[None]) - value_ids = [ - *value_ids, - ex.deref(block.value_columns[-1]) - ] + value_ids = [*value_ids, ex.deref(block.value_columns[-1])] else: # Will throw if can't interpret as scalar. dtype = typing.cast(bigframes.dtypes.Dtype, self._dtype) diff --git a/packages/bigframes/tests/unit/test_series_polars.py b/packages/bigframes/tests/unit/test_series_polars.py index f823aa5ce24e..2e22d6ed4b6b 100644 --- a/packages/bigframes/tests/unit/test_series_polars.py +++ b/packages/bigframes/tests/unit/test_series_polars.py @@ -5146,3 +5146,42 @@ def test_series_dt_total_seconds(scalars_df_index, scalars_pandas_df_index): # bigframes uses Float64, newer pandas may use double[pyarrow] check_dtype=False, ) + + +def test_series_where_with_expression(scalars_dfs): + scalars_df, scalars_pandas_df = scalars_dfs + s1 = scalars_df["float64_col"] + s2 = scalars_df["bool_col"] + + bf_result = s1.where(s2, bpd.col("bool_col")).to_pandas() + + s1_pd = scalars_pandas_df["float64_col"] + s2_pd = scalars_pandas_df["bool_col"] + + pd_result = s1_pd.where(s2_pd, s2_pd) + + pd.testing.assert_series_equal(bf_result, pd_result, check_dtype=False) + + +def test_series_expression_unbound_fails(scalars_dfs): + scalars_df, _ = scalars_dfs + s1 = scalars_df["float64_col"] + s2 = scalars_df["bool_col"] + + with pytest.raises(ValueError, match="remains unbound"): + s1.where(s2, bpd.col("non_existent_column")) + + +def test_series_where_with_expression_resolving_to_self(scalars_dfs): + scalars_df, scalars_pandas_df = scalars_dfs + s1 = scalars_df["float64_col"] + s2 = scalars_df["bool_col"] + + bf_result = s1.where(s2, bpd.col("float64_col")).to_pandas() + + s1_pd = scalars_pandas_df["float64_col"] + s2_pd = scalars_pandas_df["bool_col"] + + pd_result = s1_pd.where(s2_pd, s1_pd) + + pd.testing.assert_series_equal(bf_result, pd_result, check_dtype=False) From f3857029e9e303d376aebe3b51f4cd860d6c1178 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 19:17:20 +0000 Subject: [PATCH 21/22] make sure there are the correct number of value_ids --- packages/bigframes/bigframes/series.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/packages/bigframes/bigframes/series.py b/packages/bigframes/bigframes/series.py index 41336940b48a..ce393b61ed96 100644 --- a/packages/bigframes/bigframes/series.py +++ b/packages/bigframes/bigframes/series.py @@ -2772,11 +2772,11 @@ def _align_n( ignore_self=False, cast_scalars: bool = False, ) -> tuple[ - typing.Sequence[Union[ex.ScalarConstantExpression, ex.DerefOp]], + typing.Sequence[Union[ex.ScalarConstantExpression, ex.DerefOp, ex.OmittedArg]], blocks.Block, ]: if ignore_self: - value_ids: List[Union[ex.ScalarConstantExpression, ex.DerefOp]] = [] + value_ids: List[Union[ex.ScalarConstantExpression, ex.DerefOp, ex.OmittedArg]] = [] else: value_ids = [ex.deref(self._value_column)] @@ -2803,6 +2803,7 @@ def _align_n( ] elif isinstance(other, bigframes.core.col.Expression): if isinstance(other._value, ex.OmittedArg): + value_ids = [*value_ids, other._value] continue label_to_col_ref = { From 7a9a8a94564d5ca2bc218b0e169b211b0c1f4d00 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tim=20Swe=C3=B1a?= Date: Thu, 21 May 2026 19:42:09 +0000 Subject: [PATCH 22/22] fix mypy --- packages/bigframes/bigframes/series.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/packages/bigframes/bigframes/series.py b/packages/bigframes/bigframes/series.py index ce393b61ed96..a28c2f14cc9d 100644 --- a/packages/bigframes/bigframes/series.py +++ b/packages/bigframes/bigframes/series.py @@ -2711,7 +2711,7 @@ def _apply_binary_aggregation( assert isinstance(right, ex.DerefOp) return block.get_binary_stat(left.id.name, right.id.name, stat) - AlignedExprT = Union[ex.ScalarConstantExpression, ex.DerefOp] + AlignedExprT = Union[ex.ScalarConstantExpression, ex.DerefOp, ex.OmittedArg] @typing.overload def _align( @@ -2776,7 +2776,9 @@ def _align_n( blocks.Block, ]: if ignore_self: - value_ids: List[Union[ex.ScalarConstantExpression, ex.DerefOp, ex.OmittedArg]] = [] + value_ids: List[ + Union[ex.ScalarConstantExpression, ex.DerefOp, ex.OmittedArg] + ] = [] else: value_ids = [ex.deref(self._value_column)]