fabric8-stack-analysis/stack/stack-analyses.service.ts

Fabric8 Stack Analysis Feature

// import { RECOMMENDER_API_URL } from './recommender-api';
import { Injectable } from '@angular/core';
import { Http, Response } from '@angular/http';
// import { Logger } from '../node_modules/ngx-login-client';

import { Observable } from 'rxjs/Observable';
import 'rxjs/add/operator/catch';
import 'rxjs/add/operator/map';

@Injectable()
export class StackAnalysesService {

  private stackAnalysesUrl;

  constructor(
    private http: Http,
    // private logger: Logger,
  ) {
    this.stackAnalysesUrl =  'http://api-bayesian.dev.rdu2c.fabric8.io/api/v1/'; //apiUrl;
  }

  getStackAnalyses(id: string): Observable<any> {
    return this.http.get(this.buildStackAnalysesUrl(id))
      .map(this.extractData)
      .catch(this.handleError);
  }

  private buildStackAnalysesUrl(id: string): string {
    return this.stackAnalysesUrl + 'stack-analyses/' + id;
  }

  private extractData(res: Response) {
    let body = res.json();
    return body || {};
  }

  private handleError(error: Response | any) {
    // In a real world app, we might use a remote logging infrastructure
    let errMsg: string;
    if (error instanceof Response) {
      const body = error.json() || '';
      const err = body.error || JSON.stringify(body);
      errMsg = `${error.status} - ${error.statusText || ''} ${err}`;
    } else {
      errMsg = error.message ? error.message : error.toString();
    }
   // this.logger.error(errMsg);
    return Observable.throw(errMsg);
  }

}