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// 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};
/// Use the Arithmetic Processor to add a new attribute (without spaces or special characters
/// in the new attribute name) to a log with the result of the provided formula.
/// This enables you to remap different time attributes with different units into a single attribute,
/// or to compute operations on attributes within the same log.
///
/// The formula can use parentheses and the basic arithmetic operators `-`, `+`, `*`, `/`.
///
/// By default, the calculation is skipped if an attribute is missing.
/// Select “Replace missing attribute by 0” to automatically populate
/// missing attribute values with 0 to ensure that the calculation is done.
/// An attribute is missing if it is not found in the log attributes,
/// or if it cannot be converted to a number.
///
/// *Notes*:
///
/// - The operator `-` needs to be space split in the formula as it can also be contained in attribute names.
/// - If the target attribute already exists, it is overwritten by the result of the formula.
/// - Results are rounded up to the 9th decimal. For example, if the result of the formula is `0.1234567891`,
/// the actual value stored for the attribute is `0.123456789`.
/// - If you need to scale a unit of measure,
/// see [Scale Filter](<https://docs.datadoghq.com/logs/log_configuration/parsing/?tab=filter#matcher-and-filter>).
#[non_exhaustive]
#[skip_serializing_none]
#[derive(Clone, Debug, PartialEq, Serialize)]
pub struct LogsArithmeticProcessor {
/// Arithmetic operation between one or more log attributes.
#[serde(rename = "expression")]
pub expression: String,
/// Whether or not the processor is enabled.
#[serde(rename = "is_enabled")]
pub is_enabled: Option<bool>,
/// If `true`, it replaces all missing attributes of expression by `0`, `false`
/// skip the operation if an attribute is missing.
#[serde(rename = "is_replace_missing")]
pub is_replace_missing: Option<bool>,
/// Name of the processor.
#[serde(rename = "name")]
pub name: Option<String>,
/// Name of the attribute that contains the result of the arithmetic operation.
#[serde(rename = "target")]
pub target: String,
/// Type of logs arithmetic processor.
#[serde(rename = "type")]
pub type_: crate::datadogV1::model::LogsArithmeticProcessorType,
#[serde(flatten)]
pub additional_properties: std::collections::BTreeMap<String, serde_json::Value>,
#[serde(skip)]
#[serde(default)]
pub(crate) _unparsed: bool,
}
impl LogsArithmeticProcessor {
pub fn new(
expression: String,
target: String,
type_: crate::datadogV1::model::LogsArithmeticProcessorType,
) -> LogsArithmeticProcessor {
LogsArithmeticProcessor {
expression,
is_enabled: None,
is_replace_missing: None,
name: None,
target,
type_,
additional_properties: std::collections::BTreeMap::new(),
_unparsed: false,
}
}
pub fn is_enabled(mut self, value: bool) -> Self {
self.is_enabled = Some(value);
self
}
pub fn is_replace_missing(mut self, value: bool) -> Self {
self.is_replace_missing = Some(value);
self
}
pub fn name(mut self, value: String) -> Self {
self.name = 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 LogsArithmeticProcessor {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where
D: Deserializer<'de>,
{
struct LogsArithmeticProcessorVisitor;
impl<'a> Visitor<'a> for LogsArithmeticProcessorVisitor {
type Value = LogsArithmeticProcessor;
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 expression: Option<String> = None;
let mut is_enabled: Option<bool> = None;
let mut is_replace_missing: Option<bool> = None;
let mut name: Option<String> = None;
let mut target: Option<String> = None;
let mut type_: Option<crate::datadogV1::model::LogsArithmeticProcessorType> = 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() {
"expression" => {
expression = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"is_enabled" => {
if v.is_null() {
continue;
}
is_enabled = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"is_replace_missing" => {
if v.is_null() {
continue;
}
is_replace_missing =
Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"name" => {
if v.is_null() {
continue;
}
name = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"target" => {
target = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
}
"type" => {
type_ = Some(serde_json::from_value(v).map_err(M::Error::custom)?);
if let Some(ref _type_) = type_ {
match _type_ {
crate::datadogV1::model::LogsArithmeticProcessorType::UnparsedObject(_type_) => {
_unparsed = true;
},
_ => {}
}
}
}
&_ => {
if let Ok(value) = serde_json::from_value(v.clone()) {
additional_properties.insert(k, value);
}
}
}
}
let expression = expression.ok_or_else(|| M::Error::missing_field("expression"))?;
let target = target.ok_or_else(|| M::Error::missing_field("target"))?;
let type_ = type_.ok_or_else(|| M::Error::missing_field("type_"))?;
let content = LogsArithmeticProcessor {
expression,
is_enabled,
is_replace_missing,
name,
target,
type_,
additional_properties,
_unparsed,
};
Ok(content)
}
}
deserializer.deserialize_any(LogsArithmeticProcessorVisitor)
}
}