Removed Analyzer export

kobocat-template/static/css/kobo-single-project.css

@@ -351,7 +351,7 @@ a.dashboard__formbutton-refresh {
 
 .dashboard__download__drop {
   position: absolute;
-  right: 22px;
+  left: 0;
   bottom: -150px;
   width: 124px;
   border: 1px solid #E7E8E9;
@@ -629,4 +629,4 @@ span.poshytip {
   .dashboard__download__drop {
     bottom: -190px;
   }
-}
+}

kobocat-template/templates/show.html

@@ -188,7 +188,6 @@ <h2 class="dashboard__group-label">
           <a href="{% url "onadata.apps.viewer.views.export_list" content_user.username xform.id_string 'csv' %}" class="download__drop-button">CSV</a>
           <a href="{% url "onadata.apps.viewer.views.export_list" content_user.username xform.id_string 'zip' %}" class="download__drop-button">ZIP</a>
           <a href="{% url "onadata.apps.viewer.views.export_list" content_user.username xform.id_string 'kml'%}"  class="download__drop-button">KML</a>
-          <a href="{% url "onadata.apps.viewer.views.export_list" content_user.username xform.id_string 'analyser' %}"  class="download__drop-button">Excel Analyser</a>
         </div>
       </div>
 

onadata/apps/viewer/models/export.py

@@ -28,7 +28,6 @@ def __str__(self):
     CSV_EXPORT = 'csv'
     KML_EXPORT = 'kml'
     ZIP_EXPORT = 'zip'
-    ANALYSER_EXPORT = 'analyser'
 
     EXPORT_MIMES = {
         'xls': 'vnd.ms-excel',
@@ -42,8 +41,7 @@ def __str__(self):
         (XLS_EXPORT, 'Excel'),
         (CSV_EXPORT, 'CSV'),
         (ZIP_EXPORT, 'ZIP'),
-        (KML_EXPORT, 'kml'),
-        (ANALYSER_EXPORT, 'Analyser')
+        (KML_EXPORT, 'kml')
     ]
 
     EXPORT_TYPE_DICT = dict(export_type for export_type in EXPORT_TYPES)

onadata/apps/viewer/tasks.py

@@ -60,8 +60,6 @@ def _create_export(xform, export_type):
         # start async export
         result = create_kml_export.apply_async(
             (), arguments, countdown=10)
-    elif export_type == Export.ANALYSER_EXPORT:
-        result = create_analyser_export.apply_async((), arguments, countdown=10)
     else:
         raise Export.ExportTypeError
     if result:
@@ -116,45 +114,6 @@ def create_xls_export(username, id_string, export_id, query=None,
         return gen_export.id
 
 
-@task()
-def create_analyser_export(username, id_string, export_id, query=None):
-    # Mostly a serving of copy pasta based on the above `create_xls_export()`. Enjoy.
-
-    # we re-query the db instead of passing model objects according to
-    # http://docs.celeryproject.org/en/latest/userguide/tasks.html#state
-    ext = 'xlsx'
-
-    try:
-        export = Export.objects.get(id=export_id)
-    except Export.DoesNotExist:
-        # no export for this ID return None.
-        return None
-
-    # though export is not available when for has 0 submissions, we
-    # catch this since it potentially stops celery
-    try:
-        gen_export = generate_export(Export.ANALYSER_EXPORT, ext, username, id_string, export_id, 
-                                     query, group_delimiter='/', split_select_multiples=True, 
-                                     binary_select_multiples=False)
-    except (Exception, NoRecordsFoundError) as e:
-        export.internal_status = Export.FAILED
-        export.save()
-        # mail admins
-        details = {
-            'export_id': export_id,
-            'username': username,
-            'id_string': id_string
-        }
-        report_exception("Analyser Export Exception: Export ID - "
-                         "%(export_id)s, /%(username)s/%(id_string)s"
-                         % details, e, sys.exc_info())
-        # Raise for now to let celery know we failed
-        # - doesnt seem to break celery`
-        raise
-    else:
-        return gen_export.id
-
-
 @task()
 def create_csv_export(username, id_string, export_id, query=None,
                       group_delimiter='/', split_select_multiples=True,

onadata/libs/utils/export_tools.py

@@ -47,7 +47,6 @@
     TAGS,
     NOTES
 )
-from .analyser_export import generate_analyser
 
 
 # this is Mongo Collection where we will store the parsed submissions
@@ -514,29 +513,6 @@ def write_row(data, work_sheet, fields, work_sheet_titles):
 
         wb.save(filename=path)
 
-    def to_analyser_export(self, path, data, username, xform_id_string, *args):
-        # Get the XLSForm.
-        xform = XForm.objects.get(user__username__iexact=username, id_string__exact=xform_id_string)
-        xlsform_io= xform.to_xlsform()
-
-        if xlsform_io is None:
-            raise RuntimeError('XLSForm `{}` for user `{}` could not be retrieved from storage.'.
-                               format(xform_id_string, username))
-
-        prefix = slugify('analyser_data__{}__{}'.format(username, xform_id_string))
-        with tempfile.NamedTemporaryFile('w+b', prefix=prefix, suffix='.xlsx',) as xls_data:
-            # Generate a new XLS export to work from.
-            self.to_xls_export(xls_data.name, data)
-            xls_data.file.seek(0)
-
-            # Generate the analyser file.
-            analyser_io= generate_analyser(xlsform_io, xls_data)
-
-        # Write the generated analyser file to the specified path
-        #   ...which itself points to a temp file.
-        with open(path, 'wb') as analyser_file:
-            analyser_file.write(analyser_io.read())
-
     def to_flat_csv_export(
             self, path, data, username, id_string, filter_query):
         # TODO resolve circular import
@@ -565,7 +541,6 @@ def generate_export(export_type, extension, username, id_string,
     export_type_func_map = {
         Export.XLS_EXPORT: 'to_xls_export',
         Export.CSV_EXPORT: 'to_flat_csv_export',
-        Export.ANALYSER_EXPORT: 'to_analyser_export'
     }
 
     xform = XForm.objects.get(
@@ -592,9 +567,6 @@ def generate_export(export_type, extension, username, id_string,
     # generate filename
     basename = "%s_%s" % (
         id_string, datetime.now().strftime("%Y_%m_%d_%H_%M_%S"))
-    if export_type == Export.ANALYSER_EXPORT:
-        # Analyser exports should be distinguished by more than just their file extension.
-        basename= '{}_ANALYSER_{}'.format(id_string, datetime.now().strftime("%Y_%m_%d_%H_%M_%S"))
     filename = basename + "." + extension
 
     # check filename is unique