descripcion reportes

reports/templates/aside.html

@@ -160,7 +160,7 @@
             </a>
             <ul class="treeview-menu sidebar-form">
                 <li>
-                    <a class="treeview submenu" href="#">
+                    <a class="treeview submenu" id="pruebas" href="{% url 'PDF' purchaseID %}" target="_blank">
                         <i class="fa fa-file-code-o"></i>
                         <span>Export to JSON</span>
                         <span class="pull-right-container">

reports/urls.py

@@ -16,4 +16,5 @@ urlpatterns = [
     url(r'^ws/process_progress$', views.wsProcessProgress, name='wsProcessProgress'),
     url(r'^ws/is_public', views.wsIs_Public, name='wsIs_Public'),
     url(r'^ws/wsEditTitle', views.wsEditTitle, name='wsEditTitle'),
+    url(r'^ws/PDF/(?P<purchase_id>(\d+))$', views.PDFGenerator, name='PDF'),
 ]

reports/views.py

@@ -9,7 +9,7 @@ import xml.etree.ElementTree as ET
 from collections import OrderedDict
 
 from datetime import datetime
-from django.http import HttpResponse, Http404, JsonResponse
+from django.http import HttpResponse, Http404, JsonResponse, FileResponse
 from django.shortcuts import render, redirect
 from reportlab.lib.pagesizes import letter
 from reportlab.pdfgen import canvas
@@ -48,7 +48,7 @@ def report_L2ASCL(request, purchase_id):
     reporteDir = 'mask'
     folders = ""
     purchase = Purchase.objects.values('user__email', 'is_public', 'name', 'search__search_name',
-                                       'search__process_id__name').get(pk=purchase_id)
+                                       'search__process_id__name','description').get(pk=purchase_id)
     email = purchase['user__email']
     path = USERS_PATH + email + '/' + purchase_id + '/'
     scl_data_path = USERS_PATH + email + "/" + purchase_id + "/scl_data.json"
@@ -77,13 +77,17 @@ def report_L2ASCL(request, purchase_id):
         "platform": dataProduct['platform'],
         "productLevel": dataProduct['productLevel'],
         "polygon": dataProduct['wkt'],
+        "description": purchase['description'],
         "report_name": "SCL Image Classification Data(Km²)"
     }
 
+    print (searchInfo['description'])
+
     if os.path.exists(path + reporteDir + ".pdf"):
         print ("si existe")
     else:
-        PDFGenerator(request, path, reporteDir, datasets,searchInfo)
+        #PDFGenerator(request, path, reporteDir, datasets,searchInfo)
+        pass
 
     return render(request, template, {"graphData": json.dumps(graphData),
                                       "searchInfo": searchInfo, "IMAGE_PATH": image_path,
@@ -458,10 +462,44 @@ def myBarLegend(drawing, labels):
 
     return d
 
+@csrf_exempt
+#def PDFGenerator(request, ruta, reporteDir, datasets,searchInfo):
+def PDFGenerator(request,purchase_id):
+
+    purchase = Purchase.objects.values('user__email', 'is_public', 'name', 'search__search_name',
+                                       'search__process_id__name', 'description').get(pk=purchase_id)
+    email = purchase['user__email']
+
+    ruta = USERS_PATH + email + '/' + purchase_id + '/'
+    thumbs = ruta + 'out/mask/TCI/thumbnails/'
+    SCL = ruta + 'out/mask/SCL/split/'
+    reporteDir = "mask"
+
+    with open(USERS_PATH + email + "/" + purchase_id + "/findProducts.json") as p:
+        dataProduct = json.load(p)
+        startDate = str(dataProduct['startDate'])[:4] + '-' + str(dataProduct['startDate'])[4:6] + '-' + str(
+            dataProduct['startDate'])[6:8]
+        endDate = str(dataProduct['endDate'])[:4] + '-' + str(dataProduct['endDate'])[4:6] + '-' + str(
+            dataProduct['endDate'])[6:8]
+
+    scl_data_path = USERS_PATH + email + "/" + purchase_id + "/scl_data.json"
+
+    graphData, label, defaultLabel, defaultDataset, datasets = ProcessChartData(scl_data_path)
 
-def PDFGenerator(request, ruta, reporteDir, datasets,searchInfo):
-    thumbs = ruta + 'out/' + reporteDir + '/TCI/thumbnails/'
-    SCL = ruta + 'out/' + reporteDir + '/SCL/split/'
+
+    searchInfo = {
+        "title": purchase['name'],
+        # "title": purchase['search__search_name'],
+        "process": purchase['search__process_id__name'],
+        "startDate": startDate,
+        "endDate": endDate,
+        "clouds": dataProduct['clouds'],
+        "platform": dataProduct['platform'],
+        "productLevel": dataProduct['productLevel'],
+        "polygon": dataProduct['wkt'],
+        "description": purchase['description'],
+        "report_name": "SCL Image Classification Data(Km²)"
+    }
 
     story = []
 
@@ -503,6 +541,10 @@ def PDFGenerator(request, ruta, reporteDir, datasets,searchInfo):
     story.append(Paragraph("<strong>Process: "+searchInfo['process']+"</strong>", style2,))
     story.append(Spacer(1, .40 * inch))
     story.append(Paragraph("<strong>Clouds: "+str(searchInfo['clouds'])+" %</strong>", style2,))
+    story.append(Spacer(1, .70 * inch))
+    story.append(Paragraph("<strong>Description: </strong>", style2, ))
+    story.append(Spacer(1, .30 * inch))
+    story.append(Paragraph(searchInfo['description'], style2,))
     story.append(Spacer(1, .40 * inch))
 
     story.append(PageBreak())
@@ -551,7 +593,10 @@ def PDFGenerator(request, ruta, reporteDir, datasets,searchInfo):
     # build our document with the list of flowables we put together
     doc = SimpleDocTemplate(ruta + reporteDir + ".pdf", pagesize=letter, topMargin=0)
     doc.build(story)
-    pass
+    #return HttpResponse (request.POST.get('ruta'))
+
+    return FileResponse(open(ruta + reporteDir + ".pdf", 'rb'), content_type='application/pdf')
+
 
 
 # -----------------------------------------------------------------------------------------------------------------