relay_event_normalization/event.rs
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//! Event normalization.
//!
//! This module provides a function to normalize events.
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
use std::mem;
use std::sync::OnceLock;
use itertools::Itertools;
use regex::Regex;
use relay_base_schema::metrics::{
can_be_valid_metric_name, DurationUnit, FractionUnit, MetricUnit,
};
use relay_event_schema::processor::{self, ProcessingAction, ProcessingState, Processor};
use relay_event_schema::protocol::{
AsPair, ClientSdkInfo, Context, ContextInner, Contexts, DebugImage, DeviceClass, Event,
EventId, EventType, Exception, Headers, IpAddr, Level, LogEntry, Measurement, Measurements,
NelContext, PerformanceScoreContext, ReplayContext, Request, Span, SpanStatus, Tags, Timestamp,
TraceContext, User, VALID_PLATFORMS,
};
use relay_protocol::{
Annotated, Empty, Error, ErrorKind, FromValue, Getter, Meta, Object, Remark, RemarkType, Value,
};
use smallvec::SmallVec;
use uuid::Uuid;
use crate::normalize::request;
use crate::span::ai::normalize_ai_measurements;
use crate::span::tag_extraction::extract_span_tags_from_event;
use crate::utils::{self, get_event_user_tag, MAX_DURATION_MOBILE_MS};
use crate::{
breakdowns, event_error, legacy, mechanism, remove_other, schema, span, stacktrace,
transactions, trimming, user_agent, BorrowedSpanOpDefaults, BreakdownsConfig,
CombinedMeasurementsConfig, GeoIpLookup, MaxChars, ModelCosts, PerformanceScoreConfig,
RawUserAgentInfo, SpanDescriptionRule, TransactionNameConfig,
};
/// Configuration for [`normalize_event`].
#[derive(Clone, Debug)]
pub struct NormalizationConfig<'a> {
/// The identifier of the target project, which gets added to the payload.
pub project_id: Option<u64>,
/// The name and version of the SDK that sent the event.
pub client: Option<String>,
/// The internal identifier of the DSN, which gets added to the payload.
///
/// Note that this is different from the DSN's public key. The ID is usually numeric.
pub key_id: Option<String>,
/// The version of the protocol.
///
/// This is a deprecated field, as there is no more versioning of Relay event payloads.
pub protocol_version: Option<String>,
/// Configuration for issue grouping.
///
/// This configuration is persisted into the event payload to achieve idempotency in the
/// processing pipeline and for reprocessing.
pub grouping_config: Option<serde_json::Value>,
/// The IP address of the SDK that sent the event.
///
/// When `{{auto}}` is specified and there is no other IP address in the payload, such as in the
/// `request` context, this IP address gets added to the `user` context.
pub client_ip: Option<&'a IpAddr>,
/// The SDK's sample rate as communicated via envelope headers.
///
/// It is persisted into the event payload.
pub client_sample_rate: Option<f64>,
/// The user-agent and client hints obtained from the submission request headers.
///
/// Client hints are the preferred way to infer device, operating system, and browser
/// information should the event payload contain no such data. If no client hints are present,
/// normalization falls back to the user agent.
pub user_agent: RawUserAgentInfo<&'a str>,
/// The maximum length for names of custom measurements.
///
/// Measurements with longer names are removed from the transaction event and replaced with a
/// metadata entry.
pub max_name_and_unit_len: Option<usize>,
/// Configuration for measurement normalization in transaction events.
///
/// Has an optional [`crate::MeasurementsConfig`] from both the project and the global level.
/// If at least one is provided, then normalization will truncate custom measurements
/// and add units of known built-in measurements.
pub measurements: Option<CombinedMeasurementsConfig<'a>>,
/// Emit breakdowns based on given configuration.
pub breakdowns_config: Option<&'a BreakdownsConfig>,
/// When `Some(true)`, context information is extracted from the user agent.
pub normalize_user_agent: Option<bool>,
/// Configuration to apply to transaction names, especially around sanitizing.
pub transaction_name_config: TransactionNameConfig<'a>,
/// When `true`, it is assumed that the event has been normalized before.
///
/// This disables certain normalizations, especially all that are not idempotent. The
/// renormalize mode is intended for the use in the processing pipeline, so an event modified
/// during ingestion can be validated against the schema and large data can be trimmed. However,
/// advanced normalizations such as inferring contexts or clock drift correction are disabled.
pub is_renormalize: bool,
/// Overrides the default flag for other removal.
pub remove_other: bool,
/// When enabled, adds errors in the meta to the event's errors.
pub emit_event_errors: bool,
/// When `true`, infers the device class from CPU and model.
pub device_class_synthesis_config: bool,
/// When `true`, extracts tags from event and spans and materializes them into `span.data`.
pub enrich_spans: bool,
/// The maximum allowed size of tag values in bytes. Longer values will be cropped.
pub max_tag_value_length: usize, // TODO: move span related fields into separate config.
/// Configuration for replacing identifiers in the span description with placeholders.
///
/// This is similar to `transaction_name_config`, but applies to span descriptions.
pub span_description_rules: Option<&'a Vec<SpanDescriptionRule>>,
/// Configuration for generating performance score measurements for web vitals
pub performance_score: Option<&'a PerformanceScoreConfig>,
/// Configuration for calculating the cost of AI model runs
pub ai_model_costs: Option<&'a ModelCosts>,
/// An initialized GeoIP lookup.
pub geoip_lookup: Option<&'a GeoIpLookup>,
/// When `Some(true)`, individual parts of the event payload is trimmed to a maximum size.
///
/// See the event schema for size declarations.
pub enable_trimming: bool,
/// Controls whether spans should be normalized (e.g. normalizing the exclusive time).
///
/// To normalize spans, `is_renormalize` must be disabled _and_ `normalize_spans` enabled.
pub normalize_spans: bool,
/// The identifier of the Replay running while this event was created.
///
/// It is persisted into the event payload for correlation.
pub replay_id: Option<Uuid>,
/// Controls list of hosts to be excluded from scrubbing
pub span_allowed_hosts: &'a [String],
/// Rules to infer `span.op` from other span fields.
pub span_op_defaults: BorrowedSpanOpDefaults<'a>,
}
impl Default for NormalizationConfig<'_> {
fn default() -> Self {
Self {
project_id: Default::default(),
client: Default::default(),
key_id: Default::default(),
protocol_version: Default::default(),
grouping_config: Default::default(),
client_ip: Default::default(),
client_sample_rate: Default::default(),
user_agent: Default::default(),
max_name_and_unit_len: Default::default(),
breakdowns_config: Default::default(),
normalize_user_agent: Default::default(),
transaction_name_config: Default::default(),
is_renormalize: Default::default(),
remove_other: Default::default(),
emit_event_errors: Default::default(),
device_class_synthesis_config: Default::default(),
enrich_spans: Default::default(),
max_tag_value_length: usize::MAX,
span_description_rules: Default::default(),
performance_score: Default::default(),
geoip_lookup: Default::default(),
ai_model_costs: Default::default(),
enable_trimming: false,
measurements: None,
normalize_spans: true,
replay_id: Default::default(),
span_allowed_hosts: Default::default(),
span_op_defaults: Default::default(),
}
}
}
/// Normalizes an event.
///
/// Normalization consists of applying a series of transformations on the event
/// payload based on the given configuration.
pub fn normalize_event(event: &mut Annotated<Event>, config: &NormalizationConfig) {
let Annotated(Some(ref mut event), ref mut meta) = event else {
return;
};
let is_renormalize = config.is_renormalize;
// Convert legacy data structures to current format
let _ = legacy::LegacyProcessor.process_event(event, meta, ProcessingState::root());
if !is_renormalize {
// Check for required and non-empty values
let _ = schema::SchemaProcessor.process_event(event, meta, ProcessingState::root());
normalize(event, meta, config);
}
if config.enable_trimming {
// Trim large strings and databags down
let _ =
trimming::TrimmingProcessor::new().process_event(event, meta, ProcessingState::root());
}
if config.remove_other {
// Remove unknown attributes at every level
let _ =
remove_other::RemoveOtherProcessor.process_event(event, meta, ProcessingState::root());
}
if config.emit_event_errors {
// Add event errors for top-level keys
let _ =
event_error::EmitEventErrors::new().process_event(event, meta, ProcessingState::root());
}
}
/// Normalizes the given event based on the given config.
fn normalize(event: &mut Event, meta: &mut Meta, config: &NormalizationConfig) {
// Normalize the transaction.
// (internally noops for non-transaction events).
// TODO: Parts of this processor should probably be a filter so we
// can revert some changes to ProcessingAction)
let mut transactions_processor = transactions::TransactionsProcessor::new(
config.transaction_name_config,
config.span_op_defaults,
);
let _ = transactions_processor.process_event(event, meta, ProcessingState::root());
// Process security reports first to ensure all props.
normalize_security_report(event, config.client_ip, &config.user_agent);
// Process NEL reports to ensure all props.
normalize_nel_report(event, config.client_ip);
// Insert IP addrs before recursing, since geo lookup depends on it.
normalize_ip_addresses(
&mut event.request,
&mut event.user,
event.platform.as_str(),
config.client_ip,
);
if let Some(geoip_lookup) = config.geoip_lookup {
if let Some(user) = event.user.value_mut() {
normalize_user_geoinfo(geoip_lookup, user);
}
}
// Validate the basic attributes we extract metrics from
let _ = processor::apply(&mut event.release, |release, meta| {
if crate::validate_release(release).is_ok() {
Ok(())
} else {
meta.add_error(ErrorKind::InvalidData);
Err(ProcessingAction::DeleteValueSoft)
}
});
let _ = processor::apply(&mut event.environment, |environment, meta| {
if crate::validate_environment(environment).is_ok() {
Ok(())
} else {
meta.add_error(ErrorKind::InvalidData);
Err(ProcessingAction::DeleteValueSoft)
}
});
// Default required attributes, even if they have errors
normalize_user(event);
normalize_logentry(&mut event.logentry, meta);
normalize_debug_meta(event);
normalize_breadcrumbs(event);
normalize_release_dist(event); // dist is a tag extracted along with other metrics from transactions
normalize_event_tags(event); // Tags are added to every metric
// TODO: Consider moving to store normalization
if config.device_class_synthesis_config {
normalize_device_class(event);
}
normalize_stacktraces(event);
normalize_exceptions(event); // Browser extension filters look at the stacktrace
normalize_user_agent(event, config.normalize_user_agent); // Legacy browsers filter
normalize_event_measurements(
event,
config.measurements.clone(),
config.max_name_and_unit_len,
); // Measurements are part of the metric extraction
if let Some(version) = normalize_performance_score(event, config.performance_score) {
event
.contexts
.get_or_insert_with(Contexts::new)
.get_or_default::<PerformanceScoreContext>()
.score_profile_version = Annotated::new(version);
}
normalize_ai_measurements(event, config.ai_model_costs);
normalize_breakdowns(event, config.breakdowns_config); // Breakdowns are part of the metric extraction too
normalize_default_attributes(event, meta, config);
normalize_trace_context_tags(event);
let _ = processor::apply(&mut event.request, |request, _| {
request::normalize_request(request);
Ok(())
});
// Some contexts need to be normalized before metrics extraction takes place.
normalize_contexts(&mut event.contexts);
if config.normalize_spans && event.ty.value() == Some(&EventType::Transaction) {
crate::normalize::normalize_app_start_spans(event);
span::exclusive_time::compute_span_exclusive_time(event);
}
if config.enrich_spans {
extract_span_tags_from_event(
event,
config.max_tag_value_length,
config.span_allowed_hosts,
);
}
if let Some(context) = event.context_mut::<TraceContext>() {
context.client_sample_rate = Annotated::from(config.client_sample_rate);
}
normalize_replay_context(event, config.replay_id);
}
fn normalize_replay_context(event: &mut Event, replay_id: Option<Uuid>) {
if let Some(ref mut contexts) = event.contexts.value_mut() {
if let Some(replay_id) = replay_id {
contexts.add(ReplayContext {
replay_id: Annotated::new(EventId(replay_id)),
other: Object::default(),
});
}
}
}
/// Backfills the client IP address on for the NEL reports.
fn normalize_nel_report(event: &mut Event, client_ip: Option<&IpAddr>) {
if event.context::<NelContext>().is_none() {
return;
}
if let Some(client_ip) = client_ip {
let user = event.user.value_mut().get_or_insert_with(User::default);
user.ip_address = Annotated::new(client_ip.to_owned());
}
}
/// Backfills common security report attributes.
fn normalize_security_report(
event: &mut Event,
client_ip: Option<&IpAddr>,
user_agent: &RawUserAgentInfo<&str>,
) {
if !is_security_report(event) {
// This event is not a security report, exit here.
return;
}
event.logger.get_or_insert_with(|| "csp".to_string());
if let Some(client_ip) = client_ip {
let user = event.user.value_mut().get_or_insert_with(User::default);
user.ip_address = Annotated::new(client_ip.to_owned());
}
if !user_agent.is_empty() {
let headers = event
.request
.value_mut()
.get_or_insert_with(Request::default)
.headers
.value_mut()
.get_or_insert_with(Headers::default);
user_agent.populate_event_headers(headers);
}
}
fn is_security_report(event: &Event) -> bool {
event.csp.value().is_some()
|| event.expectct.value().is_some()
|| event.expectstaple.value().is_some()
|| event.hpkp.value().is_some()
}
/// Backfills IP addresses in various places.
pub fn normalize_ip_addresses(
request: &mut Annotated<Request>,
user: &mut Annotated<User>,
platform: Option<&str>,
client_ip: Option<&IpAddr>,
) {
// NOTE: This is highly order dependent, in the sense that both the statements within this
// function need to be executed in a certain order, and that other normalization code
// (geoip lookup) needs to run after this.
//
// After a series of regressions over the old Python spaghetti code we decided to put it
// back into one function. If a desire to split this code up overcomes you, put this in a
// new processor and make sure all of it runs before the rest of normalization.
// Resolve {{auto}}
if let Some(client_ip) = client_ip {
if let Some(ref mut request) = request.value_mut() {
if let Some(ref mut env) = request.env.value_mut() {
if let Some(&mut Value::String(ref mut http_ip)) = env
.get_mut("REMOTE_ADDR")
.and_then(|annotated| annotated.value_mut().as_mut())
{
if http_ip == "{{auto}}" {
*http_ip = client_ip.to_string();
}
}
}
}
if let Some(ref mut user) = user.value_mut() {
if let Some(ref mut user_ip) = user.ip_address.value_mut() {
if user_ip.is_auto() {
client_ip.clone_into(user_ip)
}
}
}
}
// Copy IPs from request interface to user, and resolve platform-specific backfilling
let http_ip = request
.value()
.and_then(|request| request.env.value())
.and_then(|env| env.get("REMOTE_ADDR"))
.and_then(Annotated::<Value>::as_str)
.and_then(|ip| IpAddr::parse(ip).ok());
if let Some(http_ip) = http_ip {
let user = user.value_mut().get_or_insert_with(User::default);
user.ip_address.value_mut().get_or_insert(http_ip);
} else if let Some(client_ip) = client_ip {
let user = user.value_mut().get_or_insert_with(User::default);
// auto is already handled above
if user.ip_address.value().is_none() {
// In an ideal world all SDKs would set {{auto}} explicitly.
if let Some("javascript") | Some("cocoa") | Some("objc") = platform {
user.ip_address = Annotated::new(client_ip.to_owned());
}
}
}
}
/// Sets the user's GeoIp info based on user's IP address.
pub fn normalize_user_geoinfo(geoip_lookup: &GeoIpLookup, user: &mut User) {
// Infer user.geo from user.ip_address
if user.geo.value().is_none() {
if let Some(ip_address) = user.ip_address.value() {
if let Ok(Some(geo)) = geoip_lookup.lookup(ip_address.as_str()) {
user.geo.set_value(Some(geo));
}
}
}
}
fn normalize_user(event: &mut Event) {
let Annotated(Some(user), _) = &mut event.user else {
return;
};
if !user.other.is_empty() {
let data = user.data.value_mut().get_or_insert_with(Object::new);
data.extend(std::mem::take(&mut user.other));
}
// We set the `sentry_user` field in the `Event` payload in order to have it ready for the extraction
// pipeline.
let event_user_tag = get_event_user_tag(user);
user.sentry_user.set_value(event_user_tag);
}
fn normalize_logentry(logentry: &mut Annotated<LogEntry>, _meta: &mut Meta) {
let _ = processor::apply(logentry, |logentry, meta| {
crate::logentry::normalize_logentry(logentry, meta)
});
}
/// Normalizes the debug images in the event's debug meta.
fn normalize_debug_meta(event: &mut Event) {
let Annotated(Some(debug_meta), _) = &mut event.debug_meta else {
return;
};
let Annotated(Some(debug_images), _) = &mut debug_meta.images else {
return;
};
for annotated_image in debug_images {
let _ = processor::apply(annotated_image, |image, meta| match image {
DebugImage::Other(_) => {
meta.add_error(Error::invalid("unsupported debug image type"));
Err(ProcessingAction::DeleteValueSoft)
}
_ => Ok(()),
});
}
}
fn normalize_breadcrumbs(event: &mut Event) {
let Annotated(Some(breadcrumbs), _) = &mut event.breadcrumbs else {
return;
};
let Some(breadcrumbs) = breadcrumbs.values.value_mut() else {
return;
};
for annotated_breadcrumb in breadcrumbs {
let Annotated(Some(breadcrumb), _) = annotated_breadcrumb else {
continue;
};
if breadcrumb.ty.value().is_empty() {
breadcrumb.ty.set_value(Some("default".to_string()));
}
if breadcrumb.level.value().is_none() {
breadcrumb.level.set_value(Some(Level::Info));
}
}
}
/// Ensures that the `release` and `dist` fields match up.
fn normalize_release_dist(event: &mut Event) {
normalize_dist(&mut event.dist);
}
fn normalize_dist(distribution: &mut Annotated<String>) {
let _ = processor::apply(distribution, |dist, meta| {
let trimmed = dist.trim();
if trimmed.is_empty() {
return Err(ProcessingAction::DeleteValueHard);
} else if bytecount::num_chars(trimmed.as_bytes()) > MaxChars::Distribution.limit() {
meta.add_error(Error::new(ErrorKind::ValueTooLong));
return Err(ProcessingAction::DeleteValueSoft);
} else if trimmed != dist {
*dist = trimmed.to_string();
}
Ok(())
});
}
struct DedupCache(SmallVec<[u64; 16]>);
impl DedupCache {
pub fn new() -> Self {
Self(SmallVec::default())
}
pub fn probe<H: Hash>(&mut self, element: H) -> bool {
let mut hasher = DefaultHasher::new();
element.hash(&mut hasher);
let hash = hasher.finish();
if self.0.contains(&hash) {
false
} else {
self.0.push(hash);
true
}
}
}
/// Removes internal tags and adds tags for well-known attributes.
fn normalize_event_tags(event: &mut Event) {
let tags = &mut event.tags.value_mut().get_or_insert_with(Tags::default).0;
let environment = &mut event.environment;
if environment.is_empty() {
*environment = Annotated::empty();
}
// Fix case where legacy apps pass environment as a tag instead of a top level key
if let Some(tag) = tags.remove("environment").and_then(Annotated::into_value) {
environment.get_or_insert_with(|| tag);
}
// Remove internal tags, that are generated with a `sentry:` prefix when saving the event.
// They are not allowed to be set by the client due to ambiguity. Also, deduplicate tags.
let mut tag_cache = DedupCache::new();
tags.retain(|entry| {
match entry.value() {
Some(tag) => match tag.key() {
Some("release") | Some("dist") | Some("user") | Some("filename")
| Some("function") => false,
name => tag_cache.probe(name),
},
// ToValue will decide if we should skip serializing Annotated::empty()
None => true,
}
});
for tag in tags.iter_mut() {
let _ = processor::apply(tag, |tag, _| {
if let Some(key) = tag.key() {
if key.is_empty() {
tag.0 = Annotated::from_error(Error::nonempty(), None);
} else if bytecount::num_chars(key.as_bytes()) > MaxChars::TagKey.limit() {
tag.0 = Annotated::from_error(Error::new(ErrorKind::ValueTooLong), None);
}
}
if let Some(value) = tag.value() {
if value.is_empty() {
tag.1 = Annotated::from_error(Error::nonempty(), None);
} else if bytecount::num_chars(value.as_bytes()) > MaxChars::TagValue.limit() {
tag.1 = Annotated::from_error(Error::new(ErrorKind::ValueTooLong), None);
}
}
Ok(())
});
}
let server_name = std::mem::take(&mut event.server_name);
if server_name.value().is_some() {
let tag_name = "server_name".to_string();
tags.insert(tag_name, server_name);
}
let site = std::mem::take(&mut event.site);
if site.value().is_some() {
let tag_name = "site".to_string();
tags.insert(tag_name, site);
}
}
// Reads device specs (family, memory, cpu, etc) from context and sets the device.class tag to high,
// medium, or low.
fn normalize_device_class(event: &mut Event) {
let tags = &mut event.tags.value_mut().get_or_insert_with(Tags::default).0;
let tag_name = "device.class".to_owned();
// Remove any existing device.class tag set by the client, since this should only be set by relay.
tags.remove("device.class");
if let Some(contexts) = event.contexts.value() {
if let Some(device_class) = DeviceClass::from_contexts(contexts) {
tags.insert(tag_name, Annotated::new(device_class.to_string()));
}
}
}
/// Normalizes all the stack traces in the given event.
///
/// Normalized stack traces are `event.stacktrace`, `event.exceptions.stacktrace`, and
/// `event.thread.stacktrace`. Raw stack traces are not normalized.
fn normalize_stacktraces(event: &mut Event) {
normalize_event_stacktrace(event);
normalize_exception_stacktraces(event);
normalize_thread_stacktraces(event);
}
/// Normalizes an event's stack trace, in `event.stacktrace`.
fn normalize_event_stacktrace(event: &mut Event) {
let Annotated(Some(stacktrace), meta) = &mut event.stacktrace else {
return;
};
stacktrace::normalize_stacktrace(&mut stacktrace.0, meta);
}
/// Normalizes the stack traces in an event's exceptions, in `event.exceptions.stacktraces`.
///
/// Note: the raw stack traces, in `event.exceptions.raw_stacktraces` is not normalized.
fn normalize_exception_stacktraces(event: &mut Event) {
let Some(event_exception) = event.exceptions.value_mut() else {
return;
};
let Some(exceptions) = event_exception.values.value_mut() else {
return;
};
for annotated_exception in exceptions {
let Some(exception) = annotated_exception.value_mut() else {
continue;
};
if let Annotated(Some(stacktrace), meta) = &mut exception.stacktrace {
stacktrace::normalize_stacktrace(&mut stacktrace.0, meta);
}
}
}
/// Normalizes the stack traces in an event's threads, in `event.threads.stacktraces`.
///
/// Note: the raw stack traces, in `event.threads.raw_stacktraces`, is not normalized.
fn normalize_thread_stacktraces(event: &mut Event) {
let Some(event_threads) = event.threads.value_mut() else {
return;
};
let Some(threads) = event_threads.values.value_mut() else {
return;
};
for annotated_thread in threads {
let Some(thread) = annotated_thread.value_mut() else {
continue;
};
if let Annotated(Some(stacktrace), meta) = &mut thread.stacktrace {
stacktrace::normalize_stacktrace(&mut stacktrace.0, meta);
}
}
}
fn normalize_exceptions(event: &mut Event) {
let os_hint = mechanism::OsHint::from_event(event);
if let Some(exception_values) = event.exceptions.value_mut() {
if let Some(exceptions) = exception_values.values.value_mut() {
if exceptions.len() == 1 && event.stacktrace.value().is_some() {
if let Some(exception) = exceptions.get_mut(0) {
if let Some(exception) = exception.value_mut() {
mem::swap(&mut exception.stacktrace, &mut event.stacktrace);
event.stacktrace = Annotated::empty();
}
}
}
// Exception mechanism needs SDK information to resolve proper names in
// exception meta (such as signal names). "SDK Information" really means
// the operating system version the event was generated on. Some
// normalization still works without sdk_info, such as mach_exception
// names (they can only occur on macOS).
//
// We also want to validate some other aspects of it.
for exception in exceptions {
normalize_exception(exception);
if let Some(exception) = exception.value_mut() {
if let Some(mechanism) = exception.mechanism.value_mut() {
mechanism::normalize_mechanism(mechanism, os_hint);
}
}
}
}
}
}
fn normalize_exception(exception: &mut Annotated<Exception>) {
static TYPE_VALUE_RE: OnceLock<Regex> = OnceLock::new();
let regex = TYPE_VALUE_RE.get_or_init(|| Regex::new(r"^(\w+):(.*)$").unwrap());
let _ = processor::apply(exception, |exception, meta| {
if exception.ty.value().is_empty() {
if let Some(value_str) = exception.value.value_mut() {
let new_values = regex
.captures(value_str)
.map(|cap| (cap[1].to_string(), cap[2].trim().to_string().into()));
if let Some((new_type, new_value)) = new_values {
exception.ty.set_value(Some(new_type));
*value_str = new_value;
}
}
}
if exception.ty.value().is_empty() && exception.value.value().is_empty() {
meta.add_error(Error::with(ErrorKind::MissingAttribute, |error| {
error.insert("attribute", "type or value");
}));
return Err(ProcessingAction::DeleteValueSoft);
}
Ok(())
});
}
fn normalize_user_agent(_event: &mut Event, normalize_user_agent: Option<bool>) {
if normalize_user_agent.unwrap_or(false) {
user_agent::normalize_user_agent(_event);
}
}
/// Ensures measurements interface is only present for transaction events.
fn normalize_event_measurements(
event: &mut Event,
measurements_config: Option<CombinedMeasurementsConfig>,
max_mri_len: Option<usize>,
) {
if event.ty.value() != Some(&EventType::Transaction) {
// Only transaction events may have a measurements interface
event.measurements = Annotated::empty();
} else if let Annotated(Some(ref mut measurements), ref mut meta) = event.measurements {
normalize_measurements(
measurements,
meta,
measurements_config,
max_mri_len,
event.start_timestamp.0,
event.timestamp.0,
);
}
}
/// Ensure only valid measurements are ingested.
pub fn normalize_measurements(
measurements: &mut Measurements,
meta: &mut Meta,
measurements_config: Option<CombinedMeasurementsConfig>,
max_mri_len: Option<usize>,
start_timestamp: Option<Timestamp>,
end_timestamp: Option<Timestamp>,
) {
normalize_mobile_measurements(measurements);
normalize_units(measurements);
let duration_millis = match (start_timestamp, end_timestamp) {
(Some(start), Some(end)) => relay_common::time::chrono_to_positive_millis(end - start),
_ => 0.0,
};
compute_measurements(duration_millis, measurements);
if let Some(measurements_config) = measurements_config {
remove_invalid_measurements(measurements, meta, measurements_config, max_mri_len);
}
}
pub trait MutMeasurements {
fn measurements(&mut self) -> &mut Annotated<Measurements>;
}
/// Computes performance score measurements for an event.
///
/// This computes score from vital measurements, using config options to define how it is
/// calculated.
pub fn normalize_performance_score(
event: &mut (impl Getter + MutMeasurements),
performance_score: Option<&PerformanceScoreConfig>,
) -> Option<String> {
let mut version = None;
let Some(performance_score) = performance_score else {
return version;
};
for profile in &performance_score.profiles {
if let Some(condition) = &profile.condition {
if !condition.matches(event) {
continue;
}
if let Some(measurements) = event.measurements().value_mut() {
let mut should_add_total = false;
if profile.score_components.iter().any(|c| {
!measurements.contains_key(c.measurement.as_str())
&& c.weight.abs() >= f64::EPSILON
&& !c.optional
}) {
// All non-optional measurements with a profile weight greater than 0 are
// required to exist on the event. Skip this profile if
// a measurement with weight is missing.
continue;
}
let mut score_total = 0.0f64;
let mut weight_total = 0.0f64;
for component in &profile.score_components {
// Skip optional components if they are not present on the event.
if component.optional
&& !measurements.contains_key(component.measurement.as_str())
{
continue;
}
weight_total += component.weight;
}
if weight_total.abs() < f64::EPSILON {
// All components are optional or have a weight of `0`. We cannot compute
// component weights, so we bail.
continue;
}
for component in &profile.score_components {
// Optional measurements that are not present are given a weight of 0.
let mut normalized_component_weight = 0.0;
if let Some(value) = measurements.get_value(component.measurement.as_str()) {
normalized_component_weight = component.weight / weight_total;
let cdf = utils::calculate_cdf_score(
value.max(0.0), // Webvitals can't be negative, but we need to clamp in case of bad data.
component.p10,
component.p50,
);
let component_score = cdf * normalized_component_weight;
score_total += component_score;
should_add_total = true;
measurements.insert(
format!("score.{}", component.measurement),
Measurement {
value: component_score.into(),
unit: (MetricUnit::Fraction(FractionUnit::Ratio)).into(),
}
.into(),
);
}
measurements.insert(
format!("score.weight.{}", component.measurement),
Measurement {
value: normalized_component_weight.into(),
unit: (MetricUnit::Fraction(FractionUnit::Ratio)).into(),
}
.into(),
);
}
if should_add_total {
version.clone_from(&profile.version);
measurements.insert(
"score.total".to_owned(),
Measurement {
value: score_total.into(),
unit: (MetricUnit::Fraction(FractionUnit::Ratio)).into(),
}
.into(),
);
}
}
break; // Stop after the first matching profile.
}
}
version
}
// Extracts lcp related tags from the trace context.
fn normalize_trace_context_tags(event: &mut Event) {
let tags = &mut event.tags.value_mut().get_or_insert_with(Tags::default).0;
if let Some(contexts) = event.contexts.value() {
if let Some(trace_context) = contexts.get::<TraceContext>() {
if let Some(data) = trace_context.data.value() {
if let Some(lcp_element) = data.lcp_element.value() {
if !tags.contains("lcp.element") {
let tag_name = "lcp.element".to_string();
tags.insert(tag_name, Annotated::new(lcp_element.clone()));
}
}
if let Some(lcp_size) = data.lcp_size.value() {
if !tags.contains("lcp.size") {
let tag_name = "lcp.size".to_string();
tags.insert(tag_name, Annotated::new(lcp_size.to_string()));
}
}
if let Some(lcp_id) = data.lcp_id.value() {
let tag_name = "lcp.id".to_string();
if !tags.contains("lcp.id") {
tags.insert(tag_name, Annotated::new(lcp_id.clone()));
}
}
if let Some(lcp_url) = data.lcp_url.value() {
let tag_name = "lcp.url".to_string();
if !tags.contains("lcp.url") {
tags.insert(tag_name, Annotated::new(lcp_url.clone()));
}
}
}
}
}
}
impl MutMeasurements for Event {
fn measurements(&mut self) -> &mut Annotated<Measurements> {
&mut self.measurements
}
}
impl MutMeasurements for Span {
fn measurements(&mut self) -> &mut Annotated<Measurements> {
&mut self.measurements
}
}
/// Compute additional measurements derived from existing ones.
///
/// The added measurements are:
///
/// ```text
/// frames_slow_rate := measurements.frames_slow / measurements.frames_total
/// frames_frozen_rate := measurements.frames_frozen / measurements.frames_total
/// stall_percentage := measurements.stall_total_time / transaction.duration
/// ```
fn compute_measurements(transaction_duration_ms: f64, measurements: &mut Measurements) {
if let Some(frames_total) = measurements.get_value("frames_total") {
if frames_total > 0.0 {
if let Some(frames_frozen) = measurements.get_value("frames_frozen") {
let frames_frozen_rate = Measurement {
value: (frames_frozen / frames_total).into(),
unit: (MetricUnit::Fraction(FractionUnit::Ratio)).into(),
};
measurements.insert("frames_frozen_rate".to_owned(), frames_frozen_rate.into());
}
if let Some(frames_slow) = measurements.get_value("frames_slow") {
let frames_slow_rate = Measurement {
value: (frames_slow / frames_total).into(),
unit: MetricUnit::Fraction(FractionUnit::Ratio).into(),
};
measurements.insert("frames_slow_rate".to_owned(), frames_slow_rate.into());
}
}
}
// Get stall_percentage
if transaction_duration_ms > 0.0 {
if let Some(stall_total_time) = measurements
.get("stall_total_time")
.and_then(Annotated::value)
{
if matches!(
stall_total_time.unit.value(),
// Accept milliseconds or None, but not other units
Some(&MetricUnit::Duration(DurationUnit::MilliSecond) | &MetricUnit::None) | None
) {
if let Some(stall_total_time) = stall_total_time.value.0 {
let stall_percentage = Measurement {
value: (stall_total_time / transaction_duration_ms).into(),
unit: (MetricUnit::Fraction(FractionUnit::Ratio)).into(),
};
measurements.insert("stall_percentage".to_owned(), stall_percentage.into());
}
}
}
}
}
/// Emit any breakdowns
fn normalize_breakdowns(event: &mut Event, breakdowns_config: Option<&BreakdownsConfig>) {
match breakdowns_config {
None => {}
Some(config) => breakdowns::normalize_breakdowns(event, config),
}
}
fn normalize_default_attributes(event: &mut Event, meta: &mut Meta, config: &NormalizationConfig) {
let event_type = infer_event_type(event);
event.ty = Annotated::from(event_type);
event.project = Annotated::from(config.project_id);
event.key_id = Annotated::from(config.key_id.clone());
event.version = Annotated::from(config.protocol_version.clone());
event.grouping_config = config
.grouping_config
.clone()
.map_or(Annotated::empty(), |x| {
FromValue::from_value(Annotated::<Value>::from(x))
});
let _ = relay_event_schema::processor::apply(&mut event.platform, |platform, _| {
if is_valid_platform(platform) {
Ok(())
} else {
Err(ProcessingAction::DeleteValueSoft)
}
});
// Default required attributes, even if they have errors
event.errors.get_or_insert_with(Vec::new);
event.id.get_or_insert_with(EventId::new);
event.platform.get_or_insert_with(|| "other".to_string());
event.logger.get_or_insert_with(String::new);
event.extra.get_or_insert_with(Object::new);
event.level.get_or_insert_with(|| match event_type {
EventType::Transaction => Level::Info,
_ => Level::Error,
});
if event.client_sdk.value().is_none() {
event.client_sdk.set_value(get_sdk_info(config));
}
if event.platform.as_str() == Some("java") {
if let Some(event_logger) = event.logger.value_mut().take() {
let shortened = shorten_logger(event_logger, meta);
event.logger.set_value(Some(shortened));
}
}
}
/// Returns `true` if the given platform string is a known platform identifier.
///
/// See [`VALID_PLATFORMS`] for a list of all known platforms.
pub fn is_valid_platform(platform: &str) -> bool {
VALID_PLATFORMS.contains(&platform)
}
/// Infers the `EventType` from the event's interfaces.
fn infer_event_type(event: &Event) -> EventType {
// The event type may be set explicitly when constructing the event items from specific
// items. This is DEPRECATED, and each distinct event type may get its own base class. For
// the time being, this is only implemented for transactions, so be specific:
if event.ty.value() == Some(&EventType::Transaction) {
return EventType::Transaction;
}
if event.ty.value() == Some(&EventType::UserReportV2) {
return EventType::UserReportV2;
}
// The SDKs do not describe event types, and we must infer them from available attributes.
let has_exceptions = event
.exceptions
.value()
.and_then(|exceptions| exceptions.values.value())
.filter(|values| !values.is_empty())
.is_some();
if has_exceptions {
EventType::Error
} else if event.csp.value().is_some() {
EventType::Csp
} else if event.hpkp.value().is_some() {
EventType::Hpkp
} else if event.expectct.value().is_some() {
EventType::ExpectCt
} else if event.expectstaple.value().is_some() {
EventType::ExpectStaple
} else if event.context::<NelContext>().is_some() {
EventType::Nel
} else {
EventType::Default
}
}
/// Returns the SDK info from the config.
fn get_sdk_info(config: &NormalizationConfig) -> Option<ClientSdkInfo> {
config.client.as_ref().and_then(|client| {
client
.splitn(2, '/')
.collect_tuple()
.or_else(|| client.splitn(2, ' ').collect_tuple())
.map(|(name, version)| ClientSdkInfo {
name: Annotated::new(name.to_owned()),
version: Annotated::new(version.to_owned()),
..Default::default()
})
})
}
/// If the logger is longer than [`MaxChars::Logger`], it returns a String with
/// a shortened version of the logger. If not, the same logger is returned as a
/// String. The resulting logger is always trimmed.
///
/// To shorten the logger, all extra chars that don't fit into the maximum limit
/// are removed, from the beginning of the logger. Then, if the remaining
/// substring contains a `.` somewhere but in the end, all chars until `.`
/// (exclusive) are removed.
///
/// Additionally, the new logger is prefixed with `*`, to indicate it was
/// shortened.
fn shorten_logger(logger: String, meta: &mut Meta) -> String {
let original_len = bytecount::num_chars(logger.as_bytes());
let trimmed = logger.trim();
let logger_len = bytecount::num_chars(trimmed.as_bytes());
if logger_len <= MaxChars::Logger.limit() {
if trimmed == logger {
return logger;
} else {
if trimmed.is_empty() {
meta.add_remark(Remark {
ty: RemarkType::Removed,
rule_id: "@logger:remove".to_owned(),
range: Some((0, original_len)),
});
} else {
meta.add_remark(Remark {
ty: RemarkType::Substituted,
rule_id: "@logger:trim".to_owned(),
range: None,
});
}
meta.set_original_length(Some(original_len));
return trimmed.to_string();
};
}
let mut tokens = trimmed.split("").collect_vec();
// Remove empty str tokens from the beginning and end.
tokens.pop();
tokens.reverse(); // Prioritize chars from the end of the string.
tokens.pop();
let word_cut = remove_logger_extra_chars(&mut tokens);
if word_cut {
remove_logger_word(&mut tokens);
}
tokens.reverse();
meta.add_remark(Remark {
ty: RemarkType::Substituted,
rule_id: "@logger:replace".to_owned(),
range: Some((0, logger_len - tokens.len())),
});
meta.set_original_length(Some(original_len));
format!("*{}", tokens.join(""))
}
/// Remove as many tokens as needed to match the maximum char limit defined in
/// [`MaxChars::Logger`], and an extra token for the logger prefix. Returns
/// whether a word has been cut.
///
/// A word is considered any non-empty substring that doesn't contain a `.`.
fn remove_logger_extra_chars(tokens: &mut Vec<&str>) -> bool {
// Leave one slot of space for the prefix
let mut remove_chars = tokens.len() - MaxChars::Logger.limit() + 1;
let mut word_cut = false;
while remove_chars > 0 {
if let Some(c) = tokens.pop() {
if !word_cut && c != "." {
word_cut = true;
} else if word_cut && c == "." {
word_cut = false;
}
}
remove_chars -= 1;
}
word_cut
}
/// If the `.` token is present, removes all tokens from the end of the vector
/// until `.`. If it isn't present, nothing is removed.
fn remove_logger_word(tokens: &mut Vec<&str>) {
let mut delimiter_found = false;
for token in tokens.iter() {
if *token == "." {
delimiter_found = true;
break;
}
}
if !delimiter_found {
return;
}
while let Some(i) = tokens.last() {
if *i == "." {
break;
}
tokens.pop();
}
}
/// Normalizes incoming contexts for the downstream metric extraction.
fn normalize_contexts(contexts: &mut Annotated<Contexts>) {
let _ = processor::apply(contexts, |contexts, _meta| {
// Reprocessing context sent from SDKs must not be accepted, it is a Sentry-internal
// construct.
// [`normalize`] does not run on renormalization anyway.
contexts.0.remove("reprocessing");
for annotated in &mut contexts.0.values_mut() {
if let Some(ContextInner(Context::Trace(context))) = annotated.value_mut() {
context.status.get_or_insert_with(|| SpanStatus::Unknown);
}
if let Some(context_inner) = annotated.value_mut() {
crate::normalize::contexts::normalize_context(&mut context_inner.0);
}
}
Ok(())
});
}
/// New SDKs do not send measurements when they exceed 180 seconds.
///
/// Drop those outlier measurements for older SDKs.
fn filter_mobile_outliers(measurements: &mut Measurements) {
for key in [
"app_start_cold",
"app_start_warm",
"time_to_initial_display",
"time_to_full_display",
] {
if let Some(value) = measurements.get_value(key) {
if value > MAX_DURATION_MOBILE_MS {
measurements.remove(key);
}
}
}
}
fn normalize_mobile_measurements(measurements: &mut Measurements) {
normalize_app_start_measurements(measurements);
filter_mobile_outliers(measurements);
}
fn normalize_units(measurements: &mut Measurements) {
for (name, measurement) in measurements.iter_mut() {
let measurement = match measurement.value_mut() {
Some(m) => m,
None => continue,
};
let stated_unit = measurement.unit.value().copied();
let default_unit = get_metric_measurement_unit(name);
measurement
.unit
.set_value(Some(stated_unit.or(default_unit).unwrap_or_default()))
}
}
/// Remove measurements that do not conform to the given config.
///
/// Built-in measurements are accepted if their unit is correct, dropped otherwise.
/// Custom measurements are accepted up to a limit.
///
/// Note that [`Measurements`] is a BTreeMap, which means its keys are sorted.
/// This ensures that for two events with the same measurement keys, the same set of custom
/// measurements is retained.
fn remove_invalid_measurements(
measurements: &mut Measurements,
meta: &mut Meta,
measurements_config: CombinedMeasurementsConfig,
max_name_and_unit_len: Option<usize>,
) {
let max_custom_measurements = measurements_config.max_custom_measurements().unwrap_or(0);
let mut custom_measurements_count = 0;
let mut removed_measurements = Object::new();
measurements.retain(|name, value| {
let measurement = match value.value_mut() {
Some(m) => m,
None => return false,
};
if !can_be_valid_metric_name(name) {
meta.add_error(Error::invalid(format!(
"Metric name contains invalid characters: \"{name}\""
)));
removed_measurements.insert(name.clone(), Annotated::new(std::mem::take(measurement)));
return false;
}
// TODO(jjbayer): Should we actually normalize the unit into the event?
let unit = measurement.unit.value().unwrap_or(&MetricUnit::None);
if let Some(max_name_and_unit_len) = max_name_and_unit_len {
let max_name_len = max_name_and_unit_len - unit.to_string().len();
if name.len() > max_name_len {
meta.add_error(Error::invalid(format!(
"Metric name too long {}/{max_name_len}: \"{name}\"",
name.len(),
)));
removed_measurements
.insert(name.clone(), Annotated::new(std::mem::take(measurement)));
return false;
}
}
// Check if this is a builtin measurement:
for builtin_measurement in measurements_config.builtin_measurement_keys() {
if builtin_measurement.name() == name {
let value = measurement.value.value().unwrap_or(&0.0);
// Drop negative values if the builtin measurement does not allow them.
if !builtin_measurement.allow_negative() && *value < 0.0 {
meta.add_error(Error::invalid(format!(
"Negative value for measurement {name} not allowed: {value}",
)));
removed_measurements
.insert(name.clone(), Annotated::new(std::mem::take(measurement)));
return false;
}
// If the unit matches a built-in measurement, we allow it.
// If the name matches but the unit is wrong, we do not even accept it as a custom measurement,
// and just drop it instead.
return builtin_measurement.unit() == unit;
}
}
// For custom measurements, check the budget:
if custom_measurements_count < max_custom_measurements {
custom_measurements_count += 1;
return true;
}
meta.add_error(Error::invalid(format!("Too many measurements: {name}")));
removed_measurements.insert(name.clone(), Annotated::new(std::mem::take(measurement)));
false
});
if !removed_measurements.is_empty() {
meta.set_original_value(Some(removed_measurements));
}
}
/// Returns the unit of the provided metric.
///
/// For known measurements, this returns `Some(MetricUnit)`, which can also include
/// `Some(MetricUnit::None)`. For unknown measurement names, this returns `None`.
fn get_metric_measurement_unit(measurement_name: &str) -> Option<MetricUnit> {
match measurement_name {
// Web
"fcp" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"lcp" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"fid" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"fp" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"inp" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"ttfb" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"ttfb.requesttime" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"cls" => Some(MetricUnit::None),
// Mobile
"app_start_cold" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"app_start_warm" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"frames_total" => Some(MetricUnit::None),
"frames_slow" => Some(MetricUnit::None),
"frames_slow_rate" => Some(MetricUnit::Fraction(FractionUnit::Ratio)),
"frames_frozen" => Some(MetricUnit::None),
"frames_frozen_rate" => Some(MetricUnit::Fraction(FractionUnit::Ratio)),
"time_to_initial_display" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"time_to_full_display" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
// React-Native
"stall_count" => Some(MetricUnit::None),
"stall_total_time" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"stall_longest_time" => Some(MetricUnit::Duration(DurationUnit::MilliSecond)),
"stall_percentage" => Some(MetricUnit::Fraction(FractionUnit::Ratio)),
// Default
_ => None,
}
}
/// Replaces dot.case app start measurements keys with snake_case keys.
///
/// The dot.case app start measurements keys are treated as custom measurements.
/// The snake_case is the key expected by the Sentry UI to aggregate and display in graphs.
fn normalize_app_start_measurements(measurements: &mut Measurements) {
if let Some(app_start_cold_value) = measurements.remove("app.start.cold") {
measurements.insert("app_start_cold".to_string(), app_start_cold_value);
}
if let Some(app_start_warm_value) = measurements.remove("app.start.warm") {
measurements.insert("app_start_warm".to_string(), app_start_warm_value);
}
}
#[cfg(test)]
mod tests {
use std::collections::BTreeMap;
use insta::assert_debug_snapshot;
use itertools::Itertools;
use relay_common::glob2::LazyGlob;
use relay_event_schema::protocol::{Breadcrumb, Csp, DebugMeta, DeviceContext, Values};
use relay_protocol::{get_value, SerializableAnnotated};
use serde_json::json;
use super::*;
use crate::{ClientHints, MeasurementsConfig, ModelCost};
const IOS_MOBILE_EVENT: &str = r#"
{
"sdk": {"name": "sentry.cocoa"},
"contexts": {
"trace": {
"op": "ui.load"
}
},
"measurements": {
"app_start_warm": {
"value": 8049.345970153808,
"unit": "millisecond"
},
"time_to_full_display": {
"value": 8240.571022033691,
"unit": "millisecond"
},
"time_to_initial_display": {
"value": 8049.345970153808,
"unit": "millisecond"
}
}
}
"#;
const ANDROID_MOBILE_EVENT: &str = r#"
{
"sdk": {"name": "sentry.java.android"},
"contexts": {
"trace": {
"op": "ui.load"
}
},
"measurements": {
"app_start_cold": {
"value": 22648,
"unit": "millisecond"
},
"time_to_full_display": {
"value": 22647,
"unit": "millisecond"
},
"time_to_initial_display": {
"value": 22647,
"unit": "millisecond"
}
}
}
"#;
#[test]
fn test_normalize_dist_none() {
let mut dist = Annotated::default();
normalize_dist(&mut dist);
assert_eq!(dist.value(), None);
}
#[test]
fn test_normalize_dist_empty() {
let mut dist = Annotated::new("".to_string());
normalize_dist(&mut dist);
assert_eq!(dist.value(), None);
}
#[test]
fn test_normalize_dist_trim() {
let mut dist = Annotated::new(" foo ".to_string());
normalize_dist(&mut dist);
assert_eq!(dist.value(), Some(&"foo".to_string()));
}
#[test]
fn test_normalize_dist_whitespace() {
let mut dist = Annotated::new(" ".to_owned());
normalize_dist(&mut dist);
assert_eq!(dist.value(), None);
}
#[test]
fn test_normalize_platform_and_level_with_transaction_event() {
let json = r#"
{
"type": "transaction"
}
"#;
let Annotated(Some(mut event), mut meta) = Annotated::<Event>::from_json(json).unwrap()
else {
panic!("Invalid transaction json");
};
normalize_default_attributes(&mut event, &mut meta, &NormalizationConfig::default());
assert_eq!(event.level.value().unwrap().to_string(), "info");
assert_eq!(event.ty.value().unwrap().to_string(), "transaction");
assert_eq!(event.platform.as_str().unwrap(), "other");
}
#[test]
fn test_normalize_platform_and_level_with_error_event() {
let json = r#"
{
"type": "error",
"exception": {
"values": [{"type": "ValueError", "value": "Should not happen"}]
}
}
"#;
let Annotated(Some(mut event), mut meta) = Annotated::<Event>::from_json(json).unwrap()
else {
panic!("Invalid error json");
};
normalize_default_attributes(&mut event, &mut meta, &NormalizationConfig::default());
assert_eq!(event.level.value().unwrap().to_string(), "error");
assert_eq!(event.ty.value().unwrap().to_string(), "error");
assert_eq!(event.platform.value().unwrap().to_owned(), "other");
}
#[test]
fn test_computed_measurements() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"frames_slow": {"value": 1},
"frames_frozen": {"value": 2},
"frames_total": {"value": 4},
"stall_total_time": {"value": 4000, "unit": "millisecond"}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
normalize_event_measurements(&mut event, None, None);
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r#"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"measurements": {
"frames_frozen": {
"value": 2.0,
"unit": "none",
},
"frames_frozen_rate": {
"value": 0.5,
"unit": "ratio",
},
"frames_slow": {
"value": 1.0,
"unit": "none",
},
"frames_slow_rate": {
"value": 0.25,
"unit": "ratio",
},
"frames_total": {
"value": 4.0,
"unit": "none",
},
"stall_percentage": {
"value": 0.8,
"unit": "ratio",
},
"stall_total_time": {
"value": 4000.0,
"unit": "millisecond",
},
},
}
"#);
}
#[test]
fn test_filter_custom_measurements() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"my_custom_measurement_1": {"value": 123},
"frames_frozen": {"value": 666, "unit": "invalid_unit"},
"frames_slow": {"value": 1},
"my_custom_measurement_3": {"value": 456},
"my_custom_measurement_2": {"value": 789}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let project_measurement_config: MeasurementsConfig = serde_json::from_value(json!({
"builtinMeasurements": [
{"name": "frames_frozen", "unit": "none"},
{"name": "frames_slow", "unit": "none"}
],
"maxCustomMeasurements": 2,
"stray_key": "zzz"
}))
.unwrap();
let dynamic_measurement_config =
CombinedMeasurementsConfig::new(Some(&project_measurement_config), None);
normalize_event_measurements(&mut event, Some(dynamic_measurement_config), None);
// Only two custom measurements are retained, in alphabetic order (1 and 2)
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r#"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"measurements": {
"frames_slow": {
"value": 1.0,
"unit": "none",
},
"my_custom_measurement_1": {
"value": 123.0,
"unit": "none",
},
"my_custom_measurement_2": {
"value": 789.0,
"unit": "none",
},
},
"_meta": {
"measurements": {
"": Meta(Some(MetaInner(
err: [
[
"invalid_data",
{
"reason": "Too many measurements: my_custom_measurement_3",
},
],
],
val: Some({
"my_custom_measurement_3": {
"unit": "none",
"value": 456.0,
},
}),
))),
},
},
}
"#);
}
#[test]
fn test_normalize_units() {
let mut measurements = Annotated::<Measurements>::from_json(
r#"{
"fcp": {"value": 1.1},
"stall_count": {"value": 3.3},
"foo": {"value": 8.8}
}"#,
)
.unwrap()
.into_value()
.unwrap();
insta::assert_debug_snapshot!(measurements, @r#"
Measurements(
{
"fcp": Measurement {
value: 1.1,
unit: ~,
},
"foo": Measurement {
value: 8.8,
unit: ~,
},
"stall_count": Measurement {
value: 3.3,
unit: ~,
},
},
)
"#);
normalize_units(&mut measurements);
insta::assert_debug_snapshot!(measurements, @r#"
Measurements(
{
"fcp": Measurement {
value: 1.1,
unit: Duration(
MilliSecond,
),
},
"foo": Measurement {
value: 8.8,
unit: None,
},
"stall_count": Measurement {
value: 3.3,
unit: None,
},
},
)
"#);
}
#[test]
fn test_normalize_security_report() {
let mut event = Event {
csp: Annotated::from(Csp::default()),
..Default::default()
};
let ipaddr = IpAddr("213.164.1.114".to_string());
let client_ip = Some(&ipaddr);
let user_agent = RawUserAgentInfo {
user_agent: Some("Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) Gecko/20100101 Firefox/109.0"),
client_hints: ClientHints {
sec_ch_ua_platform: Some("macOS"),
sec_ch_ua_platform_version: Some("13.2.0"),
sec_ch_ua: Some(r#""Chromium";v="110", "Not A(Brand";v="24", "Google Chrome";v="110""#),
sec_ch_ua_model: Some("some model"),
}
};
// This call should fill the event headers with info from the user_agent which is
// tested below.
normalize_security_report(&mut event, client_ip, &user_agent);
let headers = event
.request
.value_mut()
.get_or_insert_with(Request::default)
.headers
.value_mut()
.get_or_insert_with(Headers::default);
assert_eq!(
event.user.value().unwrap().ip_address,
Annotated::from(ipaddr)
);
assert_eq!(
headers.get_header(RawUserAgentInfo::USER_AGENT),
user_agent.user_agent
);
assert_eq!(
headers.get_header(ClientHints::SEC_CH_UA),
user_agent.client_hints.sec_ch_ua,
);
assert_eq!(
headers.get_header(ClientHints::SEC_CH_UA_MODEL),
user_agent.client_hints.sec_ch_ua_model,
);
assert_eq!(
headers.get_header(ClientHints::SEC_CH_UA_PLATFORM),
user_agent.client_hints.sec_ch_ua_platform,
);
assert_eq!(
headers.get_header(ClientHints::SEC_CH_UA_PLATFORM_VERSION),
user_agent.client_hints.sec_ch_ua_platform_version,
);
assert!(
std::mem::size_of_val(&ClientHints::<&str>::default()) == 64,
"If you add new fields, update the test accordingly"
);
}
#[test]
fn test_no_device_class() {
let mut event = Event {
..Default::default()
};
normalize_device_class(&mut event);
let tags = &event.tags.value_mut().get_or_insert_with(Tags::default).0;
assert_eq!(None, tags.get("device_class"));
}
#[test]
fn test_apple_low_device_class() {
let mut event = Event {
contexts: {
let mut contexts = Contexts::new();
contexts.add(DeviceContext {
family: "iPhone".to_string().into(),
model: "iPhone8,4".to_string().into(),
..Default::default()
});
Annotated::new(contexts)
},
..Default::default()
};
normalize_device_class(&mut event);
assert_debug_snapshot!(event.tags, @r#"
Tags(
PairList(
[
TagEntry(
"device.class",
"1",
),
],
),
)
"#);
}
#[test]
fn test_apple_medium_device_class() {
let mut event = Event {
contexts: {
let mut contexts = Contexts::new();
contexts.add(DeviceContext {
family: "iPhone".to_string().into(),
model: "iPhone12,8".to_string().into(),
..Default::default()
});
Annotated::new(contexts)
},
..Default::default()
};
normalize_device_class(&mut event);
assert_debug_snapshot!(event.tags, @r#"
Tags(
PairList(
[
TagEntry(
"device.class",
"2",
),
],
),
)
"#);
}
#[test]
fn test_android_low_device_class() {
let mut event = Event {
contexts: {
let mut contexts = Contexts::new();
contexts.add(DeviceContext {
family: "android".to_string().into(),
processor_frequency: 1000.into(),
processor_count: 6.into(),
memory_size: (2 * 1024 * 1024 * 1024).into(),
..Default::default()
});
Annotated::new(contexts)
},
..Default::default()
};
normalize_device_class(&mut event);
assert_debug_snapshot!(event.tags, @r#"
Tags(
PairList(
[
TagEntry(
"device.class",
"1",
),
],
),
)
"#);
}
#[test]
fn test_android_medium_device_class() {
let mut event = Event {
contexts: {
let mut contexts = Contexts::new();
contexts.add(DeviceContext {
family: "android".to_string().into(),
processor_frequency: 2000.into(),
processor_count: 8.into(),
memory_size: (6 * 1024 * 1024 * 1024).into(),
..Default::default()
});
Annotated::new(contexts)
},
..Default::default()
};
normalize_device_class(&mut event);
assert_debug_snapshot!(event.tags, @r#"
Tags(
PairList(
[
TagEntry(
"device.class",
"2",
),
],
),
)
"#);
}
#[test]
fn test_android_high_device_class() {
let mut event = Event {
contexts: {
let mut contexts = Contexts::new();
contexts.add(DeviceContext {
family: "android".to_string().into(),
processor_frequency: 2500.into(),
processor_count: 8.into(),
memory_size: (6 * 1024 * 1024 * 1024).into(),
..Default::default()
});
Annotated::new(contexts)
},
..Default::default()
};
normalize_device_class(&mut event);
assert_debug_snapshot!(event.tags, @r#"
Tags(
PairList(
[
TagEntry(
"device.class",
"3",
),
],
),
)
"#);
}
#[test]
fn test_keeps_valid_measurement() {
let name = "lcp";
let measurement = Measurement {
value: Annotated::new(420.69),
unit: Annotated::new(MetricUnit::Duration(DurationUnit::MilliSecond)),
};
assert!(!is_measurement_dropped(name, measurement));
}
#[test]
fn test_drops_too_long_measurement_names() {
let name = "lcpppppppppppppppppppppppppppp";
let measurement = Measurement {
value: Annotated::new(420.69),
unit: Annotated::new(MetricUnit::Duration(DurationUnit::MilliSecond)),
};
assert!(is_measurement_dropped(name, measurement));
}
#[test]
fn test_drops_measurements_with_invalid_characters() {
let name = "i æm frøm nørwåy";
let measurement = Measurement {
value: Annotated::new(420.69),
unit: Annotated::new(MetricUnit::Duration(DurationUnit::MilliSecond)),
};
assert!(is_measurement_dropped(name, measurement));
}
fn is_measurement_dropped(name: &str, measurement: Measurement) -> bool {
let max_name_and_unit_len = Some(30);
let mut measurements: BTreeMap<String, Annotated<Measurement>> = Object::new();
measurements.insert(name.to_string(), Annotated::new(measurement));
let mut measurements = Measurements(measurements);
let mut meta = Meta::default();
let measurements_config = MeasurementsConfig {
max_custom_measurements: 1,
..Default::default()
};
let dynamic_config = CombinedMeasurementsConfig::new(Some(&measurements_config), None);
// Just for clarity.
// Checks that there is 1 measurement before processing.
assert_eq!(measurements.len(), 1);
remove_invalid_measurements(
&mut measurements,
&mut meta,
dynamic_config,
max_name_and_unit_len,
);
// Checks whether the measurement is dropped.
measurements.len() == 0
}
#[test]
fn test_normalize_app_start_measurements_does_not_add_measurements() {
let mut measurements = Annotated::<Measurements>::from_json(r###"{}"###)
.unwrap()
.into_value()
.unwrap();
insta::assert_debug_snapshot!(measurements, @r###"
Measurements(
{},
)
"###);
normalize_app_start_measurements(&mut measurements);
insta::assert_debug_snapshot!(measurements, @r###"
Measurements(
{},
)
"###);
}
#[test]
fn test_normalize_app_start_cold_measurements() {
let mut measurements =
Annotated::<Measurements>::from_json(r#"{"app.start.cold": {"value": 1.1}}"#)
.unwrap()
.into_value()
.unwrap();
insta::assert_debug_snapshot!(measurements, @r###"
Measurements(
{
"app.start.cold": Measurement {
value: 1.1,
unit: ~,
},
},
)
"###);
normalize_app_start_measurements(&mut measurements);
insta::assert_debug_snapshot!(measurements, @r###"
Measurements(
{
"app_start_cold": Measurement {
value: 1.1,
unit: ~,
},
},
)
"###);
}
#[test]
fn test_normalize_app_start_warm_measurements() {
let mut measurements =
Annotated::<Measurements>::from_json(r#"{"app.start.warm": {"value": 1.1}}"#)
.unwrap()
.into_value()
.unwrap();
insta::assert_debug_snapshot!(measurements, @r###"
Measurements(
{
"app.start.warm": Measurement {
value: 1.1,
unit: ~,
},
},
)
"###);
normalize_app_start_measurements(&mut measurements);
insta::assert_debug_snapshot!(measurements, @r###"
Measurements(
{
"app_start_warm": Measurement {
value: 1.1,
unit: ~,
},
},
)
"###);
}
#[test]
fn test_ai_measurements() {
let json = r#"
{
"spans": [
{
"timestamp": 1702474613.0495,
"start_timestamp": 1702474613.0175,
"description": "OpenAI ",
"op": "ai.chat_completions.openai",
"span_id": "9c01bd820a083e63",
"parent_span_id": "a1e13f3f06239d69",
"trace_id": "922dda2462ea4ac2b6a4b339bee90863",
"measurements": {
"ai_total_tokens_used": {
"value": 1230
}
},
"data": {
"ai.pipeline.name": "Autofix Pipeline",
"ai.model_id": "claude-2.1"
}
},
{
"timestamp": 1702474613.0495,
"start_timestamp": 1702474613.0175,
"description": "OpenAI ",
"op": "ai.chat_completions.openai",
"span_id": "ac01bd820a083e63",
"parent_span_id": "a1e13f3f06239d69",
"trace_id": "922dda2462ea4ac2b6a4b339bee90863",
"measurements": {
"ai_prompt_tokens_used": {
"value": 1000
},
"ai_completion_tokens_used": {
"value": 2000
}
},
"data": {
"ai.pipeline.name": "Autofix Pipeline",
"ai.model_id": "gpt4-21-04"
}
}
]
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap();
normalize_event(
&mut event,
&NormalizationConfig {
ai_model_costs: Some(&ModelCosts {
version: 1,
costs: vec![
ModelCost {
model_id: LazyGlob::new("claude-2*"),
for_completion: false,
cost_per_1k_tokens: 1.0,
},
ModelCost {
model_id: LazyGlob::new("gpt4-21*"),
for_completion: false,
cost_per_1k_tokens: 2.0,
},
ModelCost {
model_id: LazyGlob::new("gpt4-21*"),
for_completion: true,
cost_per_1k_tokens: 20.0,
},
],
}),
..NormalizationConfig::default()
},
);
let spans = event.value().unwrap().spans.value().unwrap();
assert_eq!(spans.len(), 2);
assert_eq!(
spans
.first()
.unwrap()
.value()
.unwrap()
.measurements
.value()
.unwrap()
.get_value("ai_total_cost"),
Some(1.23)
);
assert_eq!(
spans
.get(1)
.unwrap()
.value()
.unwrap()
.measurements
.value()
.unwrap()
.get_value("ai_total_cost"),
Some(20.0 * 2.0 + 2.0)
);
}
#[test]
fn test_apple_high_device_class() {
let mut event = Event {
contexts: {
let mut contexts = Contexts::new();
contexts.add(DeviceContext {
family: "iPhone".to_string().into(),
model: "iPhone15,3".to_string().into(),
..Default::default()
});
Annotated::new(contexts)
},
..Default::default()
};
normalize_device_class(&mut event);
assert_debug_snapshot!(event.tags, @r#"
Tags(
PairList(
[
TagEntry(
"device.class",
"3",
),
],
),
)
"#);
}
#[test]
fn test_filter_mobile_outliers() {
let mut measurements =
Annotated::<Measurements>::from_json(r#"{"app_start_warm": {"value": 180001}}"#)
.unwrap()
.into_value()
.unwrap();
assert_eq!(measurements.len(), 1);
filter_mobile_outliers(&mut measurements);
assert_eq!(measurements.len(), 0);
}
#[test]
fn test_computed_performance_score() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"fid": {"value": 213, "unit": "millisecond"},
"fcp": {"value": 1237, "unit": "millisecond"},
"lcp": {"value": 6596, "unit": "millisecond"},
"cls": {"value": 0.11}
},
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser"
}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "fcp",
"weight": 0.15,
"p10": 900,
"p50": 1600
},
{
"measurement": "lcp",
"weight": 0.30,
"p10": 1200,
"p50": 2400
},
{
"measurement": "fid",
"weight": 0.30,
"p10": 100,
"p50": 300
},
{
"measurement": "cls",
"weight": 0.25,
"p10": 0.1,
"p50": 0.25
},
{
"measurement": "ttfb",
"weight": 0.0,
"p10": 0.2,
"p50": 0.4
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome"
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser",
},
},
"measurements": {
"cls": {
"value": 0.11,
},
"fcp": {
"value": 1237.0,
"unit": "millisecond",
},
"fid": {
"value": 213.0,
"unit": "millisecond",
},
"lcp": {
"value": 6596.0,
"unit": "millisecond",
},
"score.cls": {
"value": 0.21864170607444863,
"unit": "ratio",
},
"score.fcp": {
"value": 0.10750855443790831,
"unit": "ratio",
},
"score.fid": {
"value": 0.19657361348282545,
"unit": "ratio",
},
"score.lcp": {
"value": 0.009238896571386584,
"unit": "ratio",
},
"score.total": {
"value": 0.531962770566569,
"unit": "ratio",
},
"score.weight.cls": {
"value": 0.25,
"unit": "ratio",
},
"score.weight.fcp": {
"value": 0.15,
"unit": "ratio",
},
"score.weight.fid": {
"value": 0.3,
"unit": "ratio",
},
"score.weight.lcp": {
"value": 0.3,
"unit": "ratio",
},
"score.weight.ttfb": {
"value": 0.0,
"unit": "ratio",
},
},
}
"###);
}
// Test performance score is calculated correctly when the sum of weights is under 1.
// The expected result should normalize the weights to a sum of 1 and scale the weight measurements accordingly.
#[test]
fn test_computed_performance_score_with_under_normalized_weights() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"fid": {"value": 213, "unit": "millisecond"},
"fcp": {"value": 1237, "unit": "millisecond"},
"lcp": {"value": 6596, "unit": "millisecond"},
"cls": {"value": 0.11}
},
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser"
}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "fcp",
"weight": 0.03,
"p10": 900,
"p50": 1600
},
{
"measurement": "lcp",
"weight": 0.06,
"p10": 1200,
"p50": 2400
},
{
"measurement": "fid",
"weight": 0.06,
"p10": 100,
"p50": 300
},
{
"measurement": "cls",
"weight": 0.05,
"p10": 0.1,
"p50": 0.25
},
{
"measurement": "ttfb",
"weight": 0.0,
"p10": 0.2,
"p50": 0.4
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome"
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser",
},
},
"measurements": {
"cls": {
"value": 0.11,
},
"fcp": {
"value": 1237.0,
"unit": "millisecond",
},
"fid": {
"value": 213.0,
"unit": "millisecond",
},
"lcp": {
"value": 6596.0,
"unit": "millisecond",
},
"score.cls": {
"value": 0.21864170607444863,
"unit": "ratio",
},
"score.fcp": {
"value": 0.10750855443790831,
"unit": "ratio",
},
"score.fid": {
"value": 0.19657361348282545,
"unit": "ratio",
},
"score.lcp": {
"value": 0.009238896571386584,
"unit": "ratio",
},
"score.total": {
"value": 0.531962770566569,
"unit": "ratio",
},
"score.weight.cls": {
"value": 0.25,
"unit": "ratio",
},
"score.weight.fcp": {
"value": 0.15,
"unit": "ratio",
},
"score.weight.fid": {
"value": 0.3,
"unit": "ratio",
},
"score.weight.lcp": {
"value": 0.3,
"unit": "ratio",
},
"score.weight.ttfb": {
"value": 0.0,
"unit": "ratio",
},
},
}
"###);
}
// Test performance score is calculated correctly when the sum of weights is over 1.
// The expected result should normalize the weights to a sum of 1 and scale the weight measurements accordingly.
#[test]
fn test_computed_performance_score_with_over_normalized_weights() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"fid": {"value": 213, "unit": "millisecond"},
"fcp": {"value": 1237, "unit": "millisecond"},
"lcp": {"value": 6596, "unit": "millisecond"},
"cls": {"value": 0.11}
},
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser"
}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "fcp",
"weight": 0.30,
"p10": 900,
"p50": 1600
},
{
"measurement": "lcp",
"weight": 0.60,
"p10": 1200,
"p50": 2400
},
{
"measurement": "fid",
"weight": 0.60,
"p10": 100,
"p50": 300
},
{
"measurement": "cls",
"weight": 0.50,
"p10": 0.1,
"p50": 0.25
},
{
"measurement": "ttfb",
"weight": 0.0,
"p10": 0.2,
"p50": 0.4
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome"
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser",
},
},
"measurements": {
"cls": {
"value": 0.11,
},
"fcp": {
"value": 1237.0,
"unit": "millisecond",
},
"fid": {
"value": 213.0,
"unit": "millisecond",
},
"lcp": {
"value": 6596.0,
"unit": "millisecond",
},
"score.cls": {
"value": 0.21864170607444863,
"unit": "ratio",
},
"score.fcp": {
"value": 0.10750855443790831,
"unit": "ratio",
},
"score.fid": {
"value": 0.19657361348282545,
"unit": "ratio",
},
"score.lcp": {
"value": 0.009238896571386584,
"unit": "ratio",
},
"score.total": {
"value": 0.531962770566569,
"unit": "ratio",
},
"score.weight.cls": {
"value": 0.25,
"unit": "ratio",
},
"score.weight.fcp": {
"value": 0.15,
"unit": "ratio",
},
"score.weight.fid": {
"value": 0.3,
"unit": "ratio",
},
"score.weight.lcp": {
"value": 0.3,
"unit": "ratio",
},
"score.weight.ttfb": {
"value": 0.0,
"unit": "ratio",
},
},
}
"###);
}
#[test]
fn test_computed_performance_score_missing_measurement() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"a": {"value": 213, "unit": "millisecond"}
},
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser"
}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 900,
"p50": 1600
},
{
"measurement": "b",
"weight": 0.30,
"p10": 1200,
"p50": 2400
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome"
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser",
},
},
"measurements": {
"a": {
"value": 213.0,
"unit": "millisecond",
},
},
}
"###);
}
#[test]
fn test_computed_performance_score_optional_measurement() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"a": {"value": 213, "unit": "millisecond"},
"b": {"value": 213, "unit": "millisecond"}
},
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser"
}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 900,
"p50": 1600,
},
{
"measurement": "b",
"weight": 0.30,
"p10": 1200,
"p50": 2400,
"optional": true
},
{
"measurement": "c",
"weight": 0.55,
"p10": 1200,
"p50": 2400,
"optional": true
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome"
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser",
},
},
"measurements": {
"a": {
"value": 213.0,
"unit": "millisecond",
},
"b": {
"value": 213.0,
"unit": "millisecond",
},
"score.a": {
"value": 0.33333215313291975,
"unit": "ratio",
},
"score.b": {
"value": 0.66666415149198,
"unit": "ratio",
},
"score.total": {
"value": 0.9999963046248997,
"unit": "ratio",
},
"score.weight.a": {
"value": 0.33333333333333337,
"unit": "ratio",
},
"score.weight.b": {
"value": 0.6666666666666667,
"unit": "ratio",
},
"score.weight.c": {
"value": 0.0,
"unit": "ratio",
},
},
}
"###);
}
#[test]
fn test_computed_performance_score_weight_0() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"cls": {"value": 0.11}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "cls",
"weight": 0,
"p10": 0.1,
"p50": 0.25
},
],
"condition": {
"op":"and",
"inner": []
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"measurements": {
"cls": {
"value": 0.11,
},
},
}
"###);
}
#[test]
fn test_computed_performance_score_negative_value() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"ttfb": {"value": -100, "unit": "millisecond"}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "ttfb",
"weight": 1.0,
"p10": 100.0,
"p50": 250.0
},
],
"condition": {
"op":"and",
"inner": []
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"measurements": {
"score.total": {
"value": 1.0,
"unit": "ratio",
},
"score.ttfb": {
"value": 1.0,
"unit": "ratio",
},
"score.weight.ttfb": {
"value": 1.0,
"unit": "ratio",
},
"ttfb": {
"value": -100.0,
"unit": "millisecond",
},
},
}
"###);
}
#[test]
fn test_filter_negative_web_vital_measurements() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"ttfb": {"value": -100, "unit": "millisecond"}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
// Allow ttfb as a builtinMeasurement with allow_negative defaulted to false.
let project_measurement_config: MeasurementsConfig = serde_json::from_value(json!({
"builtinMeasurements": [
{"name": "ttfb", "unit": "millisecond"},
],
}))
.unwrap();
let dynamic_measurement_config =
CombinedMeasurementsConfig::new(Some(&project_measurement_config), None);
normalize_event_measurements(&mut event, Some(dynamic_measurement_config), None);
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"measurements": {},
"_meta": {
"measurements": {
"": Meta(Some(MetaInner(
err: [
[
"invalid_data",
{
"reason": "Negative value for measurement ttfb not allowed: -100",
},
],
],
val: Some({
"ttfb": {
"unit": "millisecond",
"value": -100.0,
},
}),
))),
},
},
}
"###);
}
#[test]
fn test_computed_performance_score_multiple_profiles() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"cls": {"value": 0.11},
"inp": {"value": 120.0}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "cls",
"weight": 0,
"p10": 0.1,
"p50": 0.25
},
],
"condition": {
"op":"and",
"inner": []
}
},
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "inp",
"weight": 1.0,
"p10": 0.1,
"p50": 0.25
},
],
"condition": {
"op":"and",
"inner": []
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"measurements": {
"cls": {
"value": 0.11,
},
"inp": {
"value": 120.0,
},
"score.inp": {
"value": 0.0,
"unit": "ratio",
},
"score.total": {
"value": 0.0,
"unit": "ratio",
},
"score.weight.inp": {
"value": 1.0,
"unit": "ratio",
},
},
}
"###);
}
#[test]
fn test_compute_performance_score_for_mobile_ios_profile() {
let mut event = Annotated::<Event>::from_json(IOS_MOBILE_EVENT)
.unwrap()
.0
.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Mobile",
"scoreComponents": [
{
"measurement": "time_to_initial_display",
"weight": 0.25,
"p10": 1800.0,
"p50": 3000.0,
"optional": true
},
{
"measurement": "time_to_full_display",
"weight": 0.25,
"p10": 2500.0,
"p50": 4000.0,
"optional": true
},
{
"measurement": "app_start_warm",
"weight": 0.25,
"p10": 200.0,
"p50": 500.0,
"optional": true
},
{
"measurement": "app_start_cold",
"weight": 0.25,
"p10": 200.0,
"p50": 500.0,
"optional": true
}
],
"condition": {
"op": "and",
"inner": [
{
"op": "or",
"inner": [
{
"op": "eq",
"name": "event.sdk.name",
"value": "sentry.cocoa"
},
{
"op": "eq",
"name": "event.sdk.name",
"value": "sentry.java.android"
}
]
},
{
"op": "eq",
"name": "event.contexts.trace.op",
"value": "ui.load"
}
]
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {});
}
#[test]
fn test_compute_performance_score_for_mobile_android_profile() {
let mut event = Annotated::<Event>::from_json(ANDROID_MOBILE_EVENT)
.unwrap()
.0
.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Mobile",
"scoreComponents": [
{
"measurement": "time_to_initial_display",
"weight": 0.25,
"p10": 1800.0,
"p50": 3000.0,
"optional": true
},
{
"measurement": "time_to_full_display",
"weight": 0.25,
"p10": 2500.0,
"p50": 4000.0,
"optional": true
},
{
"measurement": "app_start_warm",
"weight": 0.25,
"p10": 200.0,
"p50": 500.0,
"optional": true
},
{
"measurement": "app_start_cold",
"weight": 0.25,
"p10": 200.0,
"p50": 500.0,
"optional": true
}
],
"condition": {
"op": "and",
"inner": [
{
"op": "or",
"inner": [
{
"op": "eq",
"name": "event.sdk.name",
"value": "sentry.cocoa"
},
{
"op": "eq",
"name": "event.sdk.name",
"value": "sentry.java.android"
}
]
},
{
"op": "eq",
"name": "event.contexts.trace.op",
"value": "ui.load"
}
]
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {});
}
#[test]
fn test_computes_performance_score_and_tags_with_profile_version() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"inp": {"value": 120.0}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "inp",
"weight": 1.0,
"p10": 0.1,
"p50": 0.25
},
],
"condition": {
"op":"and",
"inner": []
},
"version": "beta"
}
]
}))
.unwrap();
normalize(
&mut event,
&mut Meta::default(),
&NormalizationConfig {
performance_score: Some(&performance_score),
..Default::default()
},
);
insta::assert_ron_snapshot!(SerializableAnnotated(&event.contexts), {}, @r###"
{
"performance_score": {
"score_profile_version": "beta",
"type": "performancescore",
},
}
"###);
insta::assert_ron_snapshot!(SerializableAnnotated(&event.measurements), {}, @r###"
{
"inp": {
"value": 120.0,
"unit": "millisecond",
},
"score.inp": {
"value": 0.0,
"unit": "ratio",
},
"score.total": {
"value": 0.0,
"unit": "ratio",
},
"score.weight.inp": {
"value": 1.0,
"unit": "ratio",
},
}
"###);
}
#[test]
fn test_computes_standalone_cls_performance_score() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"cls": {"value": 0.5}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Default",
"scoreComponents": [
{
"measurement": "fcp",
"weight": 0.15,
"p10": 900.0,
"p50": 1600.0,
"optional": true,
},
{
"measurement": "lcp",
"weight": 0.30,
"p10": 1200.0,
"p50": 2400.0,
"optional": true,
},
{
"measurement": "cls",
"weight": 0.15,
"p10": 0.1,
"p50": 0.25,
"optional": true,
},
{
"measurement": "ttfb",
"weight": 0.10,
"p10": 200.0,
"p50": 400.0,
"optional": true,
},
],
"condition": {
"op": "and",
"inner": [],
},
}
]
}))
.unwrap();
normalize(
&mut event,
&mut Meta::default(),
&NormalizationConfig {
performance_score: Some(&performance_score),
..Default::default()
},
);
insta::assert_ron_snapshot!(SerializableAnnotated(&event.measurements), {}, @r###"
{
"cls": {
"value": 0.5,
"unit": "none",
},
"score.cls": {
"value": 0.16615877613713903,
"unit": "ratio",
},
"score.total": {
"value": 0.16615877613713903,
"unit": "ratio",
},
"score.weight.cls": {
"value": 1.0,
"unit": "ratio",
},
"score.weight.fcp": {
"value": 0.0,
"unit": "ratio",
},
"score.weight.lcp": {
"value": 0.0,
"unit": "ratio",
},
"score.weight.ttfb": {
"value": 0.0,
"unit": "ratio",
},
}
"###);
}
#[test]
fn test_computed_performance_score_uses_first_matching_profile() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"a": {"value": 213, "unit": "millisecond"},
"b": {"value": 213, "unit": "millisecond"}
},
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser"
}
}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Mobile",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 100,
"p50": 200,
},
{
"measurement": "b",
"weight": 0.30,
"p10": 100,
"p50": 200,
"optional": true
},
{
"measurement": "c",
"weight": 0.55,
"p10": 100,
"p50": 200,
"optional": true
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome Mobile"
}
},
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 900,
"p50": 1600,
},
{
"measurement": "b",
"weight": 0.30,
"p10": 1200,
"p50": 2400,
"optional": true
},
{
"measurement": "c",
"weight": 0.55,
"p10": 1200,
"p50": 2400,
"optional": true
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome"
}
},
{
"name": "Default",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 100,
"p50": 200,
},
{
"measurement": "b",
"weight": 0.30,
"p10": 100,
"p50": 200,
"optional": true
},
{
"measurement": "c",
"weight": 0.55,
"p10": 100,
"p50": 200,
"optional": true
},
],
"condition": {
"op": "and",
"inner": [],
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"contexts": {
"browser": {
"name": "Chrome",
"version": "120.1.1",
"type": "browser",
},
},
"measurements": {
"a": {
"value": 213.0,
"unit": "millisecond",
},
"b": {
"value": 213.0,
"unit": "millisecond",
},
"score.a": {
"value": 0.33333215313291975,
"unit": "ratio",
},
"score.b": {
"value": 0.66666415149198,
"unit": "ratio",
},
"score.total": {
"value": 0.9999963046248997,
"unit": "ratio",
},
"score.weight.a": {
"value": 0.33333333333333337,
"unit": "ratio",
},
"score.weight.b": {
"value": 0.6666666666666667,
"unit": "ratio",
},
"score.weight.c": {
"value": 0.0,
"unit": "ratio",
},
},
}
"###);
}
#[test]
fn test_computed_performance_score_falls_back_to_default_profile() {
let json = r#"
{
"type": "transaction",
"timestamp": "2021-04-26T08:00:05+0100",
"start_timestamp": "2021-04-26T08:00:00+0100",
"measurements": {
"a": {"value": 213, "unit": "millisecond"},
"b": {"value": 213, "unit": "millisecond"}
},
"contexts": {}
}
"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
let performance_score: PerformanceScoreConfig = serde_json::from_value(json!({
"profiles": [
{
"name": "Mobile",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 900,
"p50": 1600,
"optional": true
},
{
"measurement": "b",
"weight": 0.30,
"p10": 1200,
"p50": 2400,
"optional": true
},
{
"measurement": "c",
"weight": 0.55,
"p10": 1200,
"p50": 2400,
"optional": true
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome Mobile"
}
},
{
"name": "Desktop",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 900,
"p50": 1600,
"optional": true
},
{
"measurement": "b",
"weight": 0.30,
"p10": 1200,
"p50": 2400,
"optional": true
},
{
"measurement": "c",
"weight": 0.55,
"p10": 1200,
"p50": 2400,
"optional": true
},
],
"condition": {
"op":"eq",
"name": "event.contexts.browser.name",
"value": "Chrome"
}
},
{
"name": "Default",
"scoreComponents": [
{
"measurement": "a",
"weight": 0.15,
"p10": 100,
"p50": 200,
"optional": true
},
{
"measurement": "b",
"weight": 0.30,
"p10": 100,
"p50": 200,
"optional": true
},
{
"measurement": "c",
"weight": 0.55,
"p10": 100,
"p50": 200,
"optional": true
},
],
"condition": {
"op": "and",
"inner": [],
}
}
]
}))
.unwrap();
normalize_performance_score(&mut event, Some(&performance_score));
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r###"
{
"type": "transaction",
"timestamp": 1619420405.0,
"start_timestamp": 1619420400.0,
"contexts": {},
"measurements": {
"a": {
"value": 213.0,
"unit": "millisecond",
},
"b": {
"value": 213.0,
"unit": "millisecond",
},
"score.a": {
"value": 0.15121816827413334,
"unit": "ratio",
},
"score.b": {
"value": 0.3024363365482667,
"unit": "ratio",
},
"score.total": {
"value": 0.4536545048224,
"unit": "ratio",
},
"score.weight.a": {
"value": 0.33333333333333337,
"unit": "ratio",
},
"score.weight.b": {
"value": 0.6666666666666667,
"unit": "ratio",
},
"score.weight.c": {
"value": 0.0,
"unit": "ratio",
},
},
}
"###);
}
#[test]
fn test_normalization_removes_reprocessing_context() {
let json = r#"{
"contexts": {
"reprocessing": {}
}
}"#;
let mut event = Annotated::<Event>::from_json(json).unwrap();
assert!(get_value!(event.contexts!).contains_key("reprocessing"));
normalize_event(&mut event, &NormalizationConfig::default());
assert!(!get_value!(event.contexts!).contains_key("reprocessing"));
}
#[test]
fn test_renormalization_does_not_remove_reprocessing_context() {
let json = r#"{
"contexts": {
"reprocessing": {}
}
}"#;
let mut event = Annotated::<Event>::from_json(json).unwrap();
assert!(get_value!(event.contexts!).contains_key("reprocessing"));
normalize_event(
&mut event,
&NormalizationConfig {
is_renormalize: true,
..Default::default()
},
);
assert!(get_value!(event.contexts!).contains_key("reprocessing"));
}
#[test]
fn test_normalize_user() {
let json = r#"{
"user": {
"id": "123456",
"username": "john",
"other": "value"
}
}"#;
let mut event = Annotated::<Event>::from_json(json).unwrap();
normalize_user(event.value_mut().as_mut().unwrap());
let user = event.value().unwrap().user.value().unwrap();
assert_eq!(user.data, {
let mut map = Object::new();
map.insert(
"other".to_string(),
Annotated::new(Value::String("value".to_owned())),
);
Annotated::new(map)
});
assert_eq!(user.other, Object::new());
assert_eq!(user.username, Annotated::new("john".to_string().into()));
assert_eq!(user.sentry_user, Annotated::new("id:123456".to_string()));
}
#[test]
fn test_handle_types_in_spaced_exception_values() {
let mut exception = Annotated::new(Exception {
value: Annotated::new("ValueError: unauthorized".to_string().into()),
..Exception::default()
});
normalize_exception(&mut exception);
let exception = exception.value().unwrap();
assert_eq!(exception.value.as_str(), Some("unauthorized"));
assert_eq!(exception.ty.as_str(), Some("ValueError"));
}
#[test]
fn test_handle_types_in_non_spaced_excepton_values() {
let mut exception = Annotated::new(Exception {
value: Annotated::new("ValueError:unauthorized".to_string().into()),
..Exception::default()
});
normalize_exception(&mut exception);
let exception = exception.value().unwrap();
assert_eq!(exception.value.as_str(), Some("unauthorized"));
assert_eq!(exception.ty.as_str(), Some("ValueError"));
}
#[test]
fn test_rejects_empty_exception_fields() {
let mut exception = Annotated::new(Exception {
value: Annotated::new("".to_string().into()),
ty: Annotated::new("".to_string()),
..Default::default()
});
normalize_exception(&mut exception);
assert!(exception.value().is_none());
assert!(exception.meta().has_errors());
}
#[test]
fn test_json_value() {
let mut exception = Annotated::new(Exception {
value: Annotated::new(r#"{"unauthorized":true}"#.to_string().into()),
..Exception::default()
});
normalize_exception(&mut exception);
let exception = exception.value().unwrap();
// Don't split a json-serialized value on the colon
assert_eq!(exception.value.as_str(), Some(r#"{"unauthorized":true}"#));
assert_eq!(exception.ty.value(), None);
}
#[test]
fn test_exception_invalid() {
let mut exception = Annotated::new(Exception::default());
normalize_exception(&mut exception);
let expected = Error::with(ErrorKind::MissingAttribute, |error| {
error.insert("attribute", "type or value");
});
assert_eq!(
exception.meta().iter_errors().collect_tuple(),
Some((&expected,))
);
}
#[test]
fn test_normalize_exception() {
let mut event = Annotated::new(Event {
exceptions: Annotated::new(Values::new(vec![Annotated::new(Exception {
// Exception with missing type and value
ty: Annotated::empty(),
value: Annotated::empty(),
..Default::default()
})])),
..Default::default()
});
normalize_event(&mut event, &NormalizationConfig::default());
let exception = event
.value()
.unwrap()
.exceptions
.value()
.unwrap()
.values
.value()
.unwrap()
.first()
.unwrap();
assert_debug_snapshot!(exception.meta(), @r#"
Meta {
remarks: [],
errors: [
Error {
kind: MissingAttribute,
data: {
"attribute": String(
"type or value",
),
},
},
],
original_length: None,
original_value: Some(
Object(
{
"mechanism": ~,
"module": ~,
"raw_stacktrace": ~,
"stacktrace": ~,
"thread_id": ~,
"type": ~,
"value": ~,
},
),
),
}"#);
}
#[test]
fn test_normalize_breadcrumbs() {
let mut event = Event {
breadcrumbs: Annotated::new(Values {
values: Annotated::new(vec![Annotated::new(Breadcrumb::default())]),
..Default::default()
}),
..Default::default()
};
normalize_breadcrumbs(&mut event);
let breadcrumb = event
.breadcrumbs
.value()
.unwrap()
.values
.value()
.unwrap()
.first()
.unwrap()
.value()
.unwrap();
assert_eq!(breadcrumb.ty.value().unwrap(), "default");
assert_eq!(&breadcrumb.level.value().unwrap().to_string(), "info");
}
#[test]
fn test_other_debug_images_have_meta_errors() {
let mut event = Event {
debug_meta: Annotated::new(DebugMeta {
images: Annotated::new(vec![Annotated::new(
DebugImage::Other(BTreeMap::default()),
)]),
..Default::default()
}),
..Default::default()
};
normalize_debug_meta(&mut event);
let debug_image_meta = event
.debug_meta
.value()
.unwrap()
.images
.value()
.unwrap()
.first()
.unwrap()
.meta();
assert_debug_snapshot!(debug_image_meta, @r#"
Meta {
remarks: [],
errors: [
Error {
kind: InvalidData,
data: {
"reason": String(
"unsupported debug image type",
),
},
},
],
original_length: None,
original_value: Some(
Object(
{},
),
),
}"#);
}
#[test]
fn test_skip_span_normalization_when_configured() {
let json = r#"{
"type": "transaction",
"start_timestamp": 1,
"timestamp": 2,
"contexts": {
"trace": {
"trace_id": "4c79f60c11214eb38604f4ae0781bfb2",
"span_id": "aaaaaaaaaaaaaaaa"
}
},
"spans": [
{
"op": "db",
"description": "SELECT * FROM table;",
"start_timestamp": 1,
"timestamp": 2,
"trace_id": "4c79f60c11214eb38604f4ae0781bfb2",
"span_id": "bbbbbbbbbbbbbbbb",
"parent_span_id": "aaaaaaaaaaaaaaaa"
}
]
}"#;
let mut event = Annotated::<Event>::from_json(json).unwrap();
assert!(get_value!(event.spans[0].exclusive_time).is_none());
normalize_event(
&mut event,
&NormalizationConfig {
is_renormalize: true,
..Default::default()
},
);
assert!(get_value!(event.spans[0].exclusive_time).is_none());
normalize_event(
&mut event,
&NormalizationConfig {
is_renormalize: false,
..Default::default()
},
);
assert!(get_value!(event.spans[0].exclusive_time).is_some());
}
#[test]
fn test_normalize_trace_context_tags_extracts_lcp_info() {
let json = r#"{
"type": "transaction",
"start_timestamp": 1,
"timestamp": 2,
"contexts": {
"trace": {
"data": {
"lcp.element": "body > div#app > div > h1#header",
"lcp.size": 24827,
"lcp.id": "header",
"lcp.url": "http://example.com/image.jpg"
}
}
},
"measurements": {
"lcp": { "value": 146.20000000298023, "unit": "millisecond" }
}
}"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
normalize_trace_context_tags(&mut event);
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r#"
{
"type": "transaction",
"timestamp": 2.0,
"start_timestamp": 1.0,
"contexts": {
"trace": {
"data": {
"lcp.element": "body > div#app > div > h1#header",
"lcp.size": 24827,
"lcp.id": "header",
"lcp.url": "http://example.com/image.jpg",
},
"type": "trace",
},
},
"tags": [
[
"lcp.element",
"body > div#app > div > h1#header",
],
[
"lcp.size",
"24827",
],
[
"lcp.id",
"header",
],
[
"lcp.url",
"http://example.com/image.jpg",
],
],
"measurements": {
"lcp": {
"value": 146.20000000298023,
"unit": "millisecond",
},
},
}
"#);
}
#[test]
fn test_normalize_trace_context_tags_does_not_overwrite_lcp_tags() {
let json = r#"{
"type": "transaction",
"start_timestamp": 1,
"timestamp": 2,
"contexts": {
"trace": {
"data": {
"lcp.element": "body > div#app > div > h1#id",
"lcp.size": 33333,
"lcp.id": "id",
"lcp.url": "http://example.com/another-image.jpg"
}
}
},
"tags": {
"lcp.element": "body > div#app > div > h1#header",
"lcp.size": 24827,
"lcp.id": "header",
"lcp.url": "http://example.com/image.jpg"
},
"measurements": {
"lcp": { "value": 146.20000000298023, "unit": "millisecond" }
}
}"#;
let mut event = Annotated::<Event>::from_json(json).unwrap().0.unwrap();
normalize_trace_context_tags(&mut event);
insta::assert_ron_snapshot!(SerializableAnnotated(&Annotated::new(event)), {}, @r#"
{
"type": "transaction",
"timestamp": 2.0,
"start_timestamp": 1.0,
"contexts": {
"trace": {
"data": {
"lcp.element": "body > div#app > div > h1#id",
"lcp.size": 33333,
"lcp.id": "id",
"lcp.url": "http://example.com/another-image.jpg",
},
"type": "trace",
},
},
"tags": [
[
"lcp.element",
"body > div#app > div > h1#header",
],
[
"lcp.id",
"header",
],
[
"lcp.size",
"24827",
],
[
"lcp.url",
"http://example.com/image.jpg",
],
],
"measurements": {
"lcp": {
"value": 146.20000000298023,
"unit": "millisecond",
},
},
}
"#);
}
}