mirror of
https://github.com/OneUptime/oneuptime.git
synced 2026-01-11 19:56:44 +00:00
- Add Telemetry service entrypoint - Telemetry/Index.ts: app bootstrap, routes mounting, infrastructure init and Telemetry SDK init. - Unified queue + worker - Telemetry/Jobs/TelemetryIngest/ProcessTelemetry.ts: single worker that dispatches queued jobs to specific processors (logs, traces, metrics, syslog, fluent logs). - Telemetry/Services/Queue/TelemetryQueueService.ts: central queue API and job payload types. - Per-type Queue wrappers (LogsQueueService, MetricsQueueService, TracesQueueService, FluentLogsQueueService, SyslogQueueService). - OpenTelemetry ingestion middleware and proto support - Telemetry/Middleware/OtelRequestMiddleware.ts: detect OTLP endpoint (logs/traces/metrics), decode protobuf bodies using protobufjs and set product type. - Telemetry/ProtoFiles/OTel/v1/*.proto: include common.proto, logs.proto, metrics.proto, resource.proto, traces.proto for OTLP v1 messages. - Ingest services - Telemetry/Services/OtelLogsIngestService.ts: parse incoming OTLP logs, map attributes, convert timestamps, batch insert logs. - Telemetry/Services/OtelTracesIngestService.ts: parse OTLP traces, build span rows, extract exceptions, batch insert spans and exceptions, save telemetry exception summary. - Telemetry/Services/OtelMetricsIngestService.ts: parse OTLP metrics, normalize datapoints, batch insert metrics and index metric name -> service map. - Telemetry/Services/SyslogIngestService.ts: syslog ingestion endpoints, parser integration, map syslog fields to attributes and logs. - Telemetry/Services/FluentLogsIngestService.ts: ingest Fluentd style logs, normalize entries and insert into log backend. - Telemetry/Services/OtelIngestBaseService.ts: helpers to resolve service name from attributes/headers. - Syslog parser and utilities - Telemetry/Utils/SyslogParser.ts: robust RFC5424 and RFC3164 parser, structured data extraction and sanitization. - Telemetry/Tests/Utils/SyslogParser.test.ts: unit tests for parser behavior. - Telemetry exception utilities - Telemetry/Utils/Exception.ts: generate exception fingerprint and upsert telemetry exception status (saveOrUpdateTelemetryException). - Queue & job integration - New integration with Common/Server/Infrastructure/Queue and QueueWorker, job id generation and telemetry job types. - Telemetry services add ingestion jobs instead of processing synchronously. - Config, build and dev tooling - Add Telemetry/package.json, package-lock.json, tsconfig.json, nodemon.json, jest config. - New script configs and dependencies (protobufjs, ts-node, jest, nodemon, etc). - Docker / environment updates - docker-compose.base.yml, docker-compose.dev.yml, docker-compose.yml: rename service from open-telemetry-ingest -> telemetry and wire TELEMETRY_* envs. - config.example.env: rename and consolidate environment variables (OPEN_TELEMETRY_* -> TELEMETRY_*, update hostnames and ports). - Tests/Scripts/status-check.sh: update ready-check target to telemetry/status/ready. - Other - Telemetry/Services/Queue/*: export helpers and legacy-compatible job interface shims. - Memory cleanup and batching safeguards across ingest services. - Logging and capture spans added to key code paths. BREAKING CHANGES / MIGRATION NOTES: - Environment variables and docker service names changed: - Replace OPEN_TELEMETRY_... vars with TELEMETRY_... (PORT, HOSTNAME, CONCURRENCY, DISABLE_TELEMETRY, etc). - docker-compose entries moved from "open-telemetry-ingest" to "telemetry" and image name changed to oneuptime/telemetry. - Update any deployment automation and monitoring checks referencing the old service name or endpoints. - Consumers: OTLP endpoints and behavior remain supported, but ingestion is now queued and processed asynchronously. Testing / Running: - Install deps in Telemetry/ (npm install) after syncing Common workspace. - Run dev: npx nodemon (nodemon.json) or build & start using provided scripts. - Run tests with jest (Telemetry test suite includes SyslogParser unit tests). Files added/modified (high level): - Added many files under Telemetry/: Index, Jobs, Middleware, ProtoFiles, Services, Utils, Tests, package and config artifacts. - Modified docker-compose.* and config.example.env and status check script to use new TELEMETRY service/vars.
133 lines
4 KiB
TypeScript
133 lines
4 KiB
TypeScript
import TelemetryException from "Common/Models/DatabaseModels/TelemetryException";
|
|
import TelemetryExceptionService from "Common/Server/Services/TelemetryExceptionService";
|
|
import OneUptimeDate from "Common/Types/Date";
|
|
import BadDataException from "Common/Types/Exception/BadDataException";
|
|
import ObjectID from "Common/Types/ObjectID";
|
|
import Crypto from "Common/Utils/Crypto";
|
|
|
|
export interface ExceptionFingerprintInput {
|
|
message?: string;
|
|
stackTrace?: string;
|
|
exceptionType?: string;
|
|
projectId?: ObjectID;
|
|
serviceId?: ObjectID;
|
|
}
|
|
|
|
export interface TelemetryExceptionPayload {
|
|
fingerprint: string;
|
|
projectId: ObjectID;
|
|
serviceId: ObjectID;
|
|
exceptionType?: string;
|
|
stackTrace?: string;
|
|
message?: string;
|
|
}
|
|
|
|
export default class ExceptionUtil {
|
|
public static getFingerprint(data: ExceptionFingerprintInput): string {
|
|
const message: string = data.message || "";
|
|
const stackTrace: string = data.stackTrace || "";
|
|
const type: string = data.exceptionType || "";
|
|
const projectId: string = data.projectId?.toString() || "";
|
|
const serviceId: string = data.serviceId?.toString() || "";
|
|
|
|
const hash: string = Crypto.getSha256Hash(
|
|
projectId + serviceId + message + stackTrace + type,
|
|
);
|
|
|
|
return hash;
|
|
}
|
|
|
|
public static async saveOrUpdateTelemetryException(
|
|
exception: TelemetryExceptionPayload,
|
|
): Promise<void> {
|
|
// Exception is saved to main database as well (not just analytics db), so users can assgin it, resolve it, etc.
|
|
|
|
if (!exception.fingerprint) {
|
|
throw new BadDataException(
|
|
"Fingerprint is required to save exception status",
|
|
);
|
|
}
|
|
|
|
if (!exception.projectId) {
|
|
throw new BadDataException(
|
|
"Project ID is required to save exception status",
|
|
);
|
|
}
|
|
|
|
if (!exception.serviceId) {
|
|
throw new BadDataException(
|
|
"Service ID is required to save exception status",
|
|
);
|
|
}
|
|
|
|
const fingerprint: string = exception.fingerprint;
|
|
|
|
// check if the exception with the same fingerprint already exists in the database
|
|
|
|
const existingExceptionStatus: TelemetryException | null =
|
|
await TelemetryExceptionService.findOneBy({
|
|
query: {
|
|
fingerprint: fingerprint,
|
|
projectId: exception.projectId,
|
|
telemetryServiceId: exception.serviceId,
|
|
},
|
|
select: {
|
|
_id: true,
|
|
occuranceCount: true,
|
|
},
|
|
props: {
|
|
isRoot: true,
|
|
},
|
|
});
|
|
|
|
if (existingExceptionStatus) {
|
|
// then update last seen as and unmark as resolved/muted
|
|
await TelemetryExceptionService.updateOneBy({
|
|
query: {
|
|
_id: existingExceptionStatus._id,
|
|
},
|
|
data: {
|
|
lastSeenAt: OneUptimeDate.now(),
|
|
markedAsResolvedByUserId: null,
|
|
isResolved: false,
|
|
markedAsResolvedAt: null, // unmark as resolved if it was marked as resolved
|
|
occuranceCount: (existingExceptionStatus.occuranceCount || 0) + 1,
|
|
},
|
|
props: {
|
|
isRoot: true,
|
|
},
|
|
});
|
|
}
|
|
|
|
if (!existingExceptionStatus) {
|
|
// Create a new exception status if it doesn't exist
|
|
const newExceptionStatus: TelemetryException = new TelemetryException();
|
|
newExceptionStatus.fingerprint = exception.fingerprint;
|
|
newExceptionStatus.projectId = exception.projectId;
|
|
newExceptionStatus.telemetryServiceId = exception.serviceId;
|
|
newExceptionStatus.lastSeenAt = OneUptimeDate.now();
|
|
newExceptionStatus.firstSeenAt = OneUptimeDate.now();
|
|
newExceptionStatus.occuranceCount = 1;
|
|
|
|
if (exception.exceptionType) {
|
|
newExceptionStatus.exceptionType = exception.exceptionType;
|
|
}
|
|
|
|
if (exception.message) {
|
|
newExceptionStatus.message = exception.message;
|
|
}
|
|
|
|
if (exception.stackTrace) {
|
|
newExceptionStatus.stackTrace = exception.stackTrace;
|
|
}
|
|
|
|
// Save the new exception status to the database
|
|
await TelemetryExceptionService.create({
|
|
data: newExceptionStatus,
|
|
props: {
|
|
isRoot: true,
|
|
},
|
|
});
|
|
}
|
|
}
|
|
}
|