예제 #1
0
파일: views.py 프로젝트: zeus911/Gateway
def ajax_overplot(request, model_id):
    flux_data = oplot_process(file=None, model_id=model_id)
    data = {
        "flux_data": flux_data,
    }
    return HttpResponse(simplejson.dumps(data),
                        content_type="application/json")
예제 #2
0
파일: views.py 프로젝트: and1can/odetta
def ajax_overplot(request, model_id):
    print("ajax_overplot")
    flux_data = oplot_process(file=None, model_id=model_id)
    data = {
        "flux_data": flux_data,
    }
    return HttpResponse(simplejson.dumps(data), content_type="application/json")
예제 #3
0
파일: views.py 프로젝트: zeus911/Gateway
def fitter(request):
    import random
    if request.method == "POST":
        uploaded_file = request.FILES.get("file")
        search_option = request.POST.get("fitType")
        flux_data = oplot_process(file=None, model_id=39)
        matched_models = []
        data = {
            "flux_data": flux_data,
        }
        for x in range(10):
            rand = int(random.random() * 40 + 1)
            metatype = Spectra.objects.filter(model_id=rand).distinct(
                "model_id")[0].metatype[:4].title() + Spectra.objects.filter(
                    model_id=rand).distinct("model_id")[0].metatype[
                        5:-1].title() + Spectra.objects.filter(
                            model_id=rand).distinct(
                                "model_id")[0].metatype[-1:].upper()
            meta_data = eval(metatype).objects.filter(model_id=rand)[0]
            matched_models.append(meta_data)
        # fit(uploaded_file,search_option)
        # going to need an array of 10 models, so I can get model_ids in the template
        return render_to_response("fitter_results.html", {
            "data": flux_data,
            "matched_models": matched_models
        },
                                  context_instance=RequestContext(
                                      request, {"home_url": HOME_URL}))
    return render_to_response("fitter_form.html",
                              context_instance=RequestContext(
                                  request, {"home_url": HOME_URL}))
예제 #4
0
def fitter(request):
    import random
    if request.method == "POST":
        uploaded_file = request.FILES.get("file")
        search_option = request.POST.get("fitType")
        flux_data = oplot_process(file=None, model_id=39)
        matched_models = []
        data = {
            "flux_data": flux_data,
        }
        for x in range(10):
            rand = int(random.random() * 40 + 1)
            metatype = Spectra.objects.filter(model_id = rand).distinct("model_id")[0].metatype[:4].title() + Spectra.objects.filter(model_id = rand).distinct("model_id")[0].metatype[5:-1].title() + Spectra.objects.filter(model_id = rand).distinct("model_id")[0].metatype[-1:].upper()
            meta_data = eval(metatype).objects.filter(model_id = rand)[0]
            matched_models.append(meta_data)
        # fit(uploaded_file,search_option)
        # going to need an array of 10 models, so I can get model_ids in the template
        return render_to_response("fitter_results.html", {"data":flux_data, "matched_models":matched_models}, context_instance=RequestContext(request))
    return render_to_response("fitter_form.html", context_instance=RequestContext(request))