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# Copyright 2024 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.
"""This module integrates BigQuery built-in functions for use with DataFrame objects,
such as array functions:
https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions. """
import sys
from bigframes.bigquery import ai
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.datetime import (
unix_micros,
unix_millis,
unix_seconds,
)
from bigframes.bigquery._operations.geo import (
st_area,
st_buffer,
st_centroid,
st_convexhull,
st_difference,
st_distance,
st_intersection,
st_isclosed,
st_length,
st_regionstats,
st_simplify,
)
from bigframes.bigquery._operations.json import (
json_extract,
json_extract_array,
json_extract_string_array,
json_keys,
json_query,
json_query_array,
json_set,
json_value,
json_value_array,
parse_json,
to_json,
to_json_string,
)
from bigframes.bigquery._operations.search import create_vector_index, vector_search
from bigframes.bigquery._operations.sql import sql_scalar
from bigframes.bigquery._operations.struct import struct
from bigframes.core import log_adapter
_functions = [
# approximate aggregate ops
approx_top_count,
# array ops
array_agg,
array_length,
array_to_string,
# datetime ops
unix_micros,
unix_millis,
unix_seconds,
# geo ops
st_area,
st_buffer,
st_centroid,
st_convexhull,
st_difference,
st_distance,
st_intersection,
st_isclosed,
st_length,
st_regionstats,
st_simplify,
# json ops
json_extract,
json_extract_array,
json_extract_string_array,
json_query,
json_query_array,
json_set,
json_value,
json_value_array,
parse_json,
to_json,
to_json_string,
# search ops
create_vector_index,
vector_search,
# sql ops
sql_scalar,
# struct ops
struct,
]
_module = sys.modules[__name__]
for f in _functions:
_decorated_object = log_adapter.method_logger(f, custom_base_name="bigquery")
setattr(_module, f.__name__, _decorated_object)
del f
__all__ = [
# approximate aggregate ops
"approx_top_count",
# array ops
"array_agg",
"array_length",
"array_to_string",
# datetime ops
"unix_micros",
"unix_millis",
"unix_seconds",
# geo ops
"st_area",
"st_buffer",
"st_centroid",
"st_convexhull",
"st_difference",
"st_distance",
"st_intersection",
"st_isclosed",
"st_length",
"st_regionstats",
"st_simplify",
# json ops
"json_extract",
"json_extract_array",
"json_extract_string_array",
"json_keys",
"json_query",
"json_query_array",
"json_set",
"json_value",
"json_value_array",
"parse_json",
"to_json",
"to_json_string",
# search ops
"create_vector_index",
"vector_search",
# sql ops
"sql_scalar",
# struct ops
"struct",
# Modules / SQL namespaces
"ai",
]