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
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
// Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
// This product includes software developed at Datadog (https://www.datadoghq.com/).
// Copyright 2019-Present Datadog, Inc.
use serde::de::{Error, MapAccess, Visitor};
use serde::{Deserialize, Deserializer, Serialize};
use serde_with::skip_serializing_none;
use std::fmt::{self, Formatter};
/// A query for host-level process metrics such as CPU and memory usage.
#[non_exhaustive]
#[skip_serializing_none]
#[derive(Clone, Debug, PartialEq, Serialize)]
pub struct ProcessScalarQuery {
/// The type of aggregation that can be performed on metrics-based queries.
#[serde(rename = "aggregator")]
pub aggregator: Option<crate::datadogV2::model::MetricsAggregator>,
/// A data source for process-level infrastructure metrics.
#[serde(rename = "data_source")]
pub data_source: crate::datadogV2::model::ProcessDataSource,
/// Whether CPU metrics should be normalized by core count.
#[serde(rename = "is_normalized_cpu")]
pub is_normalized_cpu: Option<bool>,
/// Maximum number of results to return.
#[serde(rename = "limit")]
pub limit: Option<i64>,
/// The process metric to query.
#[serde(rename = "metric")]
pub metric: String,
/// The variable name for use in formulas.
#[serde(rename = "name")]
pub name: String,
/// Direction of sort.
#[serde(rename = "sort")]
pub sort: Option<crate::datadogV2::model::QuerySortOrder>,
/// Tag filters to narrow down processes.
#[serde(rename = "tag_filters")]
pub tag_filters: Option<Vec<String>>,
/// A full-text search filter to match process names or commands.
#[serde(rename = "text_filter")]
pub text_filter: Option<String>,
#[serde(flatten)]
pub additional_properties: std::collections::BTreeMap<String, serde_json::Value>,
#[serde(skip)]
#[serde(default)]
pub(crate) _unparsed: bool,
}
impl ProcessScalarQuery {
pub fn new(
data_source: crate::datadogV2::model::ProcessDataSource,
metric: String,
name: String,
) -> ProcessScalarQuery {
ProcessScalarQuery {
aggregator: None,
data_source,
is_normalized_cpu: None,
limit: None,
metric,
name,
sort: None,
tag_filters: None,
text_filter: None,
additional_properties: std::collections::BTreeMap::new(),
_unparsed: false,
}
}
pub fn aggregator(mut self, value: crate::datadogV2::model::MetricsAggregator) -> Self {
self.aggregator = Some(value);
self
}
pub fn is_normalized_cpu(mut self, value: bool) -> Self {
self.is_normalized_cpu = Some(value);
self
}
pub fn limit(mut self, value: i64) -> Self {
self.limit = Some(value);
self
}
pub fn sort(mut self, value: crate::datadogV2::model::QuerySortOrder) -> Self {
self.sort = Some(value);
self
}
pub fn tag_filters(mut self, value: Vec<String>) -> Self {
self.tag_filters = Some(value);
self
}
pub fn text_filter(mut self, value: String) -> Self {
self.text_filter = Some(value);
self
}
pub fn additional_properties(
mut self,
value: std::collections::BTreeMap<String, serde_json::Value>,
) -> Self {
self.additional_properties = value;
self
}
}
impl<'de> Deserialize<'de> for ProcessScalarQuery {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where
D: Deserializer<'de>,
{
struct ProcessScalarQueryVisitor;
impl<'a> Visitor<'a> for ProcessScalarQueryVisitor {
type Value = ProcessScalarQuery;
fn expecting(&self, f: &mut Formatter<'_>) -> fmt::Result {
f.write_str("a mapping")
}
fn visit_map<M>(self, mut map: M) -> Result<Self::Value, M::Error>
where
M: MapAccess<'a>,
{
let mut aggregator: Option<crate::datadogV2::model::MetricsAggregator> = None;
let mut data_source: Option<crate::datadogV2::model::ProcessDataSource> = None;
let mut is_normalized_cpu: Option<bool> = None;
let mut limit: Option<i64> = None;
let mut metric: Option<String> = None;
let mut name: Option<String> = None;
let mut sort: Option<crate::datadogV2::model::QuerySortOrder> = None;
let mut tag_filters: Option<Vec<String>> = None;
let mut text_filter: Option<String> = None;
let mut additional_properties: std::collections::BTreeMap<
String,
serde_json::Value,
> = std::collections::BTreeMap::new();
let mut _unparsed = false;
while let Some((k, v)) = map.next_entry::<String, serde_json::Value>()? {
match k.as_str() {
"aggregator" => {
if v.is_null() {
continue;
}
aggregator = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
if let Some(ref _aggregator) = aggregator {
match _aggregator {
crate::datadogV2::model::MetricsAggregator::UnparsedObject(
_aggregator,
) => {
_unparsed = true;
}
_ => {}
}
}
}
"data_source" => {
data_source =
Some(serde_json::from_value(v).map_err(M::Error::custom)?);
if let Some(ref _data_source) = data_source {
match _data_source {
crate::datadogV2::model::ProcessDataSource::UnparsedObject(
_data_source,
) => {
_unparsed = true;
}
_ => {}
}
}
}
"is_normalized_cpu" => {
if v.is_null() {
continue;
}
is_normalized_cpu =
Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"limit" => {
if v.is_null() {
continue;
}
limit = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"metric" => {
metric = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"name" => {
name = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"sort" => {
if v.is_null() {
continue;
}
sort = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
if let Some(ref _sort) = sort {
match _sort {
crate::datadogV2::model::QuerySortOrder::UnparsedObject(
_sort,
) => {
_unparsed = true;
}
_ => {}
}
}
}
"tag_filters" => {
if v.is_null() {
continue;
}
tag_filters =
Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"text_filter" => {
if v.is_null() {
continue;
}
text_filter =
Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
&_ => {
if let Ok(value) = serde_json::from_value(v.clone()) {
additional_properties.insert(k, value);
}
}
}
}
let data_source =
data_source.ok_or_else(|| M::Error::missing_field("data_source"))?;
let metric = metric.ok_or_else(|| M::Error::missing_field("metric"))?;
let name = name.ok_or_else(|| M::Error::missing_field("name"))?;
let content = ProcessScalarQuery {
aggregator,
data_source,
is_normalized_cpu,
limit,
metric,
name,
sort,
tag_filters,
text_filter,
additional_properties,
_unparsed,
};
Ok(content)
}
}
deserializer.deserialize_any(ProcessScalarQueryVisitor)
}
}