-
Notifications
You must be signed in to change notification settings - Fork 13
Expand file tree
/
Copy pathpython_udf_event_semantics.sql
More file actions
91 lines (81 loc) · 2.75 KB
/
Copy pathpython_udf_event_semantics.sql
File metadata and controls
91 lines (81 loc) · 2.75 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
-- 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.
-- Example: Event classification using Python UDF kernels.
--
-- Prerequisites:
-- Register UDFs from deploy/python_udf/register.sql
--
-- Replace PROJECT, DATASET, and UDF_DATASET with your values.
-- ------------------------------------------------------------------ --
-- 1. Classify errors and tool outcomes per event --
-- ------------------------------------------------------------------ --
SELECT
session_id,
event_type,
timestamp,
`PROJECT.UDF_DATASET.bqaa_is_error_event`(
event_type, error_message, status
) AS is_error,
`PROJECT.UDF_DATASET.bqaa_tool_outcome`(
event_type, status
) AS tool_result
FROM
`PROJECT.DATASET.agent_events`
WHERE
event_type IN ('TOOL_STARTING', 'TOOL_COMPLETED', 'TOOL_ERROR')
ORDER BY
session_id, timestamp;
-- ------------------------------------------------------------------ --
-- 2. Extract agent responses from LLM events --
-- ------------------------------------------------------------------ --
-- The content column is JSON-typed in the SDK schema. The UDF expects
-- a plain STRING, so use TO_JSON_STRING to convert the JSON value to
-- its string representation for the Python UDF to parse.
SELECT
session_id,
timestamp,
`PROJECT.UDF_DATASET.bqaa_extract_response_text`(
TO_JSON_STRING(content)
) AS response_text
FROM
`PROJECT.DATASET.agent_events`
WHERE
event_type IN ('LLM_RESPONSE', 'AGENT_COMPLETED')
AND content IS NOT NULL
ORDER BY
session_id, timestamp;
-- ------------------------------------------------------------------ --
-- 3. Error rate per session using the UDF for classification --
-- ------------------------------------------------------------------ --
SELECT
session_id,
COUNT(*) AS total_events,
COUNTIF(
`PROJECT.UDF_DATASET.bqaa_is_error_event`(
event_type, error_message, status
)
) AS error_events,
COUNTIF(
`PROJECT.UDF_DATASET.bqaa_tool_outcome`(event_type, status) = 'error'
) AS tool_errors,
COUNTIF(
`PROJECT.UDF_DATASET.bqaa_tool_outcome`(event_type, status) = 'success'
) AS tool_successes
FROM
`PROJECT.DATASET.agent_events`
GROUP BY
session_id
ORDER BY
error_events DESC
LIMIT 50;