forked from googleapis/python-bigquery-dataframes
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathjson_ops.py
More file actions
136 lines (111 loc) · 4.39 KB
/
Copy pathjson_ops.py
File metadata and controls
136 lines (111 loc) · 4.39 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
# Copyright 2025 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.
import dataclasses
import typing
import pandas as pd
import pyarrow as pa
from bigframes import dtypes
from bigframes.operations import base_ops
@dataclasses.dataclass(frozen=True)
class JSONExtract(base_ops.UnaryOp):
name: typing.ClassVar[str] = "json_extract"
json_path: str
def output_type(self, *input_types):
input_type = input_types[0]
if not dtypes.is_json_like(input_type):
raise TypeError(
"Input type must be a valid JSON object or JSON-formatted string type."
+ f" Received type: {input_type}"
)
return input_type
@dataclasses.dataclass(frozen=True)
class JSONExtractArray(base_ops.UnaryOp):
name: typing.ClassVar[str] = "json_extract_array"
json_path: str
def output_type(self, *input_types):
input_type = input_types[0]
if not dtypes.is_json_like(input_type):
raise TypeError(
"Input type must be a valid JSON object or JSON-formatted string type."
+ f" Received type: {input_type}"
)
return pd.ArrowDtype(
pa.list_(dtypes.bigframes_dtype_to_arrow_dtype(input_type))
)
@dataclasses.dataclass(frozen=True)
class JSONExtractStringArray(base_ops.UnaryOp):
name: typing.ClassVar[str] = "json_extract_string_array"
json_path: str
def output_type(self, *input_types):
input_type = input_types[0]
if not dtypes.is_json_like(input_type):
raise TypeError(
"Input type must be a valid JSON object or JSON-formatted string type."
+ f" Received type: {input_type}"
)
return pd.ArrowDtype(
pa.list_(dtypes.bigframes_dtype_to_arrow_dtype(dtypes.STRING_DTYPE))
)
@dataclasses.dataclass(frozen=True)
class ParseJSON(base_ops.UnaryOp):
name: typing.ClassVar[str] = "parse_json"
def output_type(self, *input_types):
input_type = input_types[0]
if input_type != dtypes.STRING_DTYPE:
raise TypeError(
"Input type must be a valid JSON-formatted string type."
+ f" Received type: {input_type}"
)
return dtypes.JSON_DTYPE
@dataclasses.dataclass(frozen=True)
class ToJSONString(base_ops.UnaryOp):
name: typing.ClassVar[str] = "to_json_string"
def output_type(self, *input_types):
input_type = input_types[0]
if not dtypes.is_json_like(input_type):
raise TypeError(
"Input type must be a valid JSON object or JSON-formatted string type."
+ f" Received type: {input_type}"
)
return dtypes.STRING_DTYPE
@dataclasses.dataclass(frozen=True)
class JSONSet(base_ops.BinaryOp):
name: typing.ClassVar[str] = "json_set"
json_path: str
def output_type(self, *input_types):
left_type = input_types[0]
right_type = input_types[1]
if not dtypes.is_json_like(left_type):
raise TypeError(
"Input type must be a valid JSON object or JSON-formatted string type."
+ f" Received type: {left_type}"
)
if not dtypes.is_json_encoding_type(right_type):
raise TypeError(
"The value to be assigned must be a type that can be encoded as JSON."
+ f"Received type: {right_type}"
)
return dtypes.JSON_DTYPE
@dataclasses.dataclass(frozen=True)
class JSONValue(base_ops.UnaryOp):
name: typing.ClassVar[str] = "json_value"
json_path: str
def output_type(self, *input_types):
input_type = input_types[0]
if not dtypes.is_json_like(input_type):
raise TypeError(
"Input type must be a valid JSON object or JSON-formatted string type."
+ f" Received type: {input_type}"
)
return dtypes.STRING_DTYPE