Use pydantic for data validation (instead of jsonschema)

Fix/improve various pydantic shema models.

tests/controller/test_project.py

@@ -655,7 +655,8 @@ async def test_clean_pictures_and_keep_supplier_logo(project):
     """
 
     project.supplier = {
-        'logo': 'logo.png'
+        'logo': 'logo.png',
+        'url': 'http://acme.com'
     }
 
     drawing = await project.add_drawing()

tests/controller/test_template.py

@@ -16,7 +16,7 @@
 # along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 import pytest
-import jsonschema
+import pydantic
 
 from gns3server.controller.template import Template
 
@@ -39,7 +39,7 @@ def test_template_json():
 
 def test_template_json_with_not_known_category():
 
-    with pytest.raises(jsonschema.ValidationError):
+    with pytest.raises(pydantic.ValidationError):
         Template(None, {
             "node_type": "qemu",
             "name": "Test",

tests/endpoints/controller/test_templates.py

@@ -908,7 +908,12 @@ async def test_cloud_template_create(controller_api):
                          "compute_id": "local",
                          "default_name_format": "Cloud{0}",
                          "name": "Cloud template",
-                         "symbol": ":/symbols/cloud.svg"}
+                         "ports_mapping": [],
+                         "symbol": ":/symbols/cloud.svg",
+                         "remote_console_host": "127.0.0.1",
+                         "remote_console_port": 23,
+                         "remote_console_type": "none",
+                         "remote_console_http_path": "/"}
 
     for item, value in expected_response.items():
         assert response.json.get(item) == value