python-bigquery-dataframes/third_party/bigframes_vendored/ibis/expr/operations/ai_ops.py at d29f83d71c3bb141e83ef3a5db7af68c212ec4d9 · googleapis/python-bigquery-dataframes · GitHub

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
# Contains code from https://github.com/ibis-project/ibis/blob/9.2.0/ibis/expr/operations/maps.py

"""Operations for working with maps."""

from __future__ import annotations

from typing import Optional

from bigframes_vendored.ibis.common.annotations import attribute
import bigframes_vendored.ibis.expr.datatypes as dt
from bigframes_vendored.ibis.expr.operations.core import Value
import bigframes_vendored.ibis.expr.rules as rlz
from public import public


@public
class AIGenerate(Value):
    """Generate content based on the prompt"""

    prompt: Value
    connection_id: Value[dt.String]
    endpoint: Optional[Value[dt.String]]
    request_type: Value[dt.String]
    model_params: Optional[Value[dt.String]]

    shape = rlz.shape_like("prompt")

    @attribute
    def dtype(self) -> dt.Struct:
        return dt.Struct.from_tuples(
            (("result", dt.string), ("full_resposne", dt.string), ("status", dt.string))
        )


@public
class AIGenerateBool(Value):
    """Generate Bool based on the prompt"""

    prompt: Value
    connection_id: Value[dt.String]
    endpoint: Optional[Value[dt.String]]
    request_type: Value[dt.String]
    model_params: Optional[Value[dt.String]]

    shape = rlz.shape_like("prompt")

    @attribute
    def dtype(self) -> dt.Struct:
        return dt.Struct.from_tuples(
            (("result", dt.bool), ("full_resposne", dt.string), ("status", dt.string))
        )


@public
class AIGenerateInt(Value):
    """Generate integers based on the prompt"""

    prompt: Value
    connection_id: Value[dt.String]
    endpoint: Optional[Value[dt.String]]
    request_type: Value[dt.String]
    model_params: Optional[Value[dt.String]]

    shape = rlz.shape_like("prompt")

    @attribute
    def dtype(self) -> dt.Struct:
        return dt.Struct.from_tuples(
            (("result", dt.int64), ("full_resposne", dt.string), ("status", dt.string))
        )


@public
class AIGenerateDouble(Value):
    """Generate doubles based on the prompt"""

    prompt: Value
    connection_id: Value[dt.String]
    endpoint: Optional[Value[dt.String]]
    request_type: Value[dt.String]
    model_params: Optional[Value[dt.String]]

    shape = rlz.shape_like("prompt")

    @attribute
    def dtype(self) -> dt.Struct:
        return dt.Struct.from_tuples(
            (
                ("result", dt.float64),
                ("full_resposne", dt.string),
                ("status", dt.string),
            )
        )


@public
class AIIf(Value):
    """Generate True/False based on the prompt"""

    prompt: Value
    connection_id: Value[dt.String]

    shape = rlz.shape_like("prompt")

    @attribute
    def dtype(self) -> dt.Struct:
        return dt.bool


@public
class AIScore(Value):
    """Generate doubles based on the prompt"""

    prompt: Value
    connection_id: Value[dt.String]

    shape = rlz.shape_like("prompt")

    @attribute
    def dtype(self) -> dt.Struct:
        return dt.float64