Limits dataset descripiton to 4000 characters

+ Updates UI to warn user about limit in tooltips
+ Adds api test for character limit.

Closes #386

archive_api/models.py

@@ -344,7 +344,7 @@ def data_set_id(self):
         return "NGT{:04}".format(self.ngt_id)
 
     ngt_id = models.IntegerField()
-    description = models.TextField(blank=True, null=True)
+    description = models.TextField(blank=True, null=True, max_length=4000)
     version = models.CharField(max_length=15, default="0.0")
 
     status = models.IntegerField(choices=STATUS_CHOICES,

archive_api/tests/test_api.py

@@ -260,9 +260,11 @@ def test_client_put(self):
         value = json.loads(response.content.decode('utf-8'))
         self.assertEqual(value['description'], "A FooBarBaz DataSet")
 
-    def test_client_put_reference_error(self):
+    def test_client_put_field_character_limits(self):
+        """Test field character limit errors"""
         self.login_user("auser")
         reference = 'a'*2256
+        description = 'a'*4001
         response = self.client.put('/api/v1/datasets/1/', data='{"data_set_id":"FooBarBaz","description":"A FooBarBaz DataSet",'
                                         '"name": "Data Set 1", '
                                         '"status_comment": "",'
@@ -276,6 +278,7 @@ def test_client_put_reference_error(self):
                                         '"doe_funding_contract_numbers": "",'
                                         '"acknowledgement": "",'
                                         '"reference": "'+reference+'",'
+                                        '"description": "'+description+'",'
                                         '"additional_reference_information": "",'
                                         '"additional_access_information": "",'
                                         '"submission_date": "2016-10-28T19:12:35Z",'
@@ -289,7 +292,8 @@ def test_client_put_reference_error(self):
         print(response.content)
         self.assertEqual(status.HTTP_400_BAD_REQUEST, response.status_code)
         value = json.loads(response.content.decode('utf-8'))
-        self.assertEqual(value, {"reference": ["Ensure this field has no more than 2255 characters."]})
+        self.assertEqual(value, {'description': ['Ensure this field has no more than 4000 characters.'],
+                                 'reference': ['Ensure this field has no more than 2255 characters.']})
 
     def test_user_workflow(self):
         """

ui/static/js/app.js

@@ -236,7 +236,7 @@ $(document).ready(function () {
         }
     });
 
-    $.getJSON("static/js/metadata/dataset.json?v=20220901", function (data) {
+    $.getJSON("static/js/metadata/dataset.json?v=20230411", function (data) {
         templates.datasets = data;
         createEditForm('datasets');
     });

ui/static/js/metadata/dataset.json

@@ -30,7 +30,7 @@
         "label": "Dataset Description",
         "sequence": 4,
         "multiple": false,
-        "description": "<p>Dataset description and overview. This should read as an abstract for the dataset, and provide users with adequate information about what the dataset contains, and how to use it. Include details on what data what, when and where data was collected, and if any data processing was done.</p> <p><i>E.g.: Raw output from the data logger connected to 9 sapflow and 5 soil moisture sensors are provided in xxx.dat. The metadata file (BR-Ma2 E-field log_20160501.xls) has information on locations where the sensors were installed, and other installation/maintenance details. No data processing or QA/QC was done on the raw datasets. Processed datasets will be uploaded separately. Contact [email protected] if you need to use this dataset for additional information.</i></p>"
+        "description": "<p>Dataset description and overview. This should read as an abstract for the dataset, and provide users with adequate information about what the dataset contains, and how to use it. Include details on what data what, when and where data was collected, and if any data processing was done.</p> <p><i>E.g.: Raw output from the data logger connected to 9 sapflow and 5 soil moisture sensors are provided in xxx.dat. The metadata file (BR-Ma2 E-field log_20160501.xls) has information on locations where the sensors were installed, and other installation/maintenance details. No data processing or QA/QC was done on the raw datasets. Processed datasets will be uploaded separately. Contact [email protected] if you need to use this dataset for additional information.</i> <b>This field has a limit of 4,000 characters.</b></p>"
     },
     "sites": {
         "type": "reference_list",