- Add full Telegram bot functionality with Z.AI API integration
- Implement 4 tools: Bash, FileEdit, WebSearch, Git
- Add 3 agents: Code Reviewer, Architect, DevOps Engineer
- Add 6 skills for common coding tasks
- Add systemd service file for 24/7 operation
- Add nginx configuration for HTTPS webhook
- Add comprehensive documentation
- Implement WebSocket server for real-time updates
- Add logging system with Winston
- Add environment validation
🤖 zCode CLI X - Agentic coder with Z.AI + Telegram integration
89 lines
3.5 KiB
JavaScript
89 lines
3.5 KiB
JavaScript
/*
|
|
* Copyright The OpenTelemetry Authors
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
*/
|
|
import { merge } from '@opentelemetry/core';
|
|
import { defaultResource } from '@opentelemetry/resources';
|
|
import { Tracer } from './Tracer';
|
|
import { loadDefaultConfig } from './config';
|
|
import { MultiSpanProcessor } from './MultiSpanProcessor';
|
|
import { reconfigureLimits } from './utility';
|
|
export var ForceFlushState;
|
|
(function (ForceFlushState) {
|
|
ForceFlushState[ForceFlushState["resolved"] = 0] = "resolved";
|
|
ForceFlushState[ForceFlushState["timeout"] = 1] = "timeout";
|
|
ForceFlushState[ForceFlushState["error"] = 2] = "error";
|
|
ForceFlushState[ForceFlushState["unresolved"] = 3] = "unresolved";
|
|
})(ForceFlushState || (ForceFlushState = {}));
|
|
/**
|
|
* This class represents a basic tracer provider which platform libraries can extend
|
|
*/
|
|
export class BasicTracerProvider {
|
|
_config;
|
|
_tracers = new Map();
|
|
_resource;
|
|
_activeSpanProcessor;
|
|
constructor(config = {}) {
|
|
const mergedConfig = merge({}, loadDefaultConfig(), reconfigureLimits(config));
|
|
this._resource = mergedConfig.resource ?? defaultResource();
|
|
this._config = Object.assign({}, mergedConfig, {
|
|
resource: this._resource,
|
|
});
|
|
const spanProcessors = [];
|
|
if (config.spanProcessors?.length) {
|
|
spanProcessors.push(...config.spanProcessors);
|
|
}
|
|
this._activeSpanProcessor = new MultiSpanProcessor(spanProcessors);
|
|
}
|
|
getTracer(name, version, options) {
|
|
const key = `${name}@${version || ''}:${options?.schemaUrl || ''}`;
|
|
if (!this._tracers.has(key)) {
|
|
this._tracers.set(key, new Tracer({ name, version, schemaUrl: options?.schemaUrl }, this._config, this._resource, this._activeSpanProcessor));
|
|
}
|
|
// eslint-disable-next-line @typescript-eslint/no-non-null-assertion
|
|
return this._tracers.get(key);
|
|
}
|
|
forceFlush() {
|
|
const timeout = this._config.forceFlushTimeoutMillis;
|
|
const promises = this._activeSpanProcessor['_spanProcessors'].map((spanProcessor) => {
|
|
return new Promise(resolve => {
|
|
let state;
|
|
const timeoutInterval = setTimeout(() => {
|
|
resolve(new Error(`Span processor did not completed within timeout period of ${timeout} ms`));
|
|
state = ForceFlushState.timeout;
|
|
}, timeout);
|
|
spanProcessor
|
|
.forceFlush()
|
|
.then(() => {
|
|
clearTimeout(timeoutInterval);
|
|
if (state !== ForceFlushState.timeout) {
|
|
state = ForceFlushState.resolved;
|
|
resolve(state);
|
|
}
|
|
})
|
|
.catch(error => {
|
|
clearTimeout(timeoutInterval);
|
|
state = ForceFlushState.error;
|
|
resolve(error);
|
|
});
|
|
});
|
|
});
|
|
return new Promise((resolve, reject) => {
|
|
Promise.all(promises)
|
|
.then(results => {
|
|
const errors = results.filter(result => result !== ForceFlushState.resolved);
|
|
if (errors.length > 0) {
|
|
reject(errors);
|
|
}
|
|
else {
|
|
resolve();
|
|
}
|
|
})
|
|
.catch(error => reject([error]));
|
|
});
|
|
}
|
|
shutdown() {
|
|
return this._activeSpanProcessor.shutdown();
|
|
}
|
|
}
|
|
//# sourceMappingURL=BasicTracerProvider.js.map
|