add a test for custom sections

rendercv/data_model.py

@@ -835,14 +835,12 @@ class Connection(BaseModel):
 
     @field_validator("value")
     @classmethod
-    def check_type_of_value(
+    def check_type_of_value(cls, value: str) -> str:
-        cls, value: str
-    ) -> str:
         if not re.search(r"[^\d\-+]", str(value)):
             # If there is nothing other than digits, hyphens, and plus signs, then it is
             # a phone number
             value = "tel:" + value
-        
+
         return value
 
     @computed_field
@@ -903,6 +901,11 @@ class Section(BaseModel):
         description="The entries of the section. The format depends on the entry type.",
     )
 
+    @field_validator("title")
+    @classmethod
+    def make_first_letters_uppercase(cls, title: str) -> str:
+        return title.title()
+
 
 class CurriculumVitae(BaseModel):
     """This class bindes all the information of a CV together."""
@@ -1001,6 +1004,36 @@ class CurriculumVitae(BaseModel):
         ),
     )
 
+    @model_validator(mode="after")
+    @classmethod
+    def check_if_the_section_names_are_unique(self, model):
+        pre_defined_section_names = [
+            "Education",
+            "Work Experience",
+            "Academic Projects",
+            "Personal Projects",
+            "Certificates",
+            "Extracurricular Activities",
+            "Test Scores",
+            "Skills",
+            "Publications",
+        ]
+        if model.custom_sections is not None:
+            custom_section_names = []
+            for custom_section in model.custom_sections:
+                custom_section_names.append(custom_section.title)
+
+        section_names = pre_defined_section_names + custom_section_names
+        seen = set()
+        duplicates = {val for val in section_names if (val in seen or seen.add(val))}
+        if len(duplicates) > 0:
+            raise ValueError(
+                "The section names should be unique. The following section names are"
+                f" duplicated: {duplicates}"
+            )
+
+        return model
+
     @computed_field
     @cached_property
     def connections(self) -> list[str]:
@@ -1063,11 +1096,11 @@ class CurriculumVitae(BaseModel):
 
         link_text = None
         for section_name in self.section_order:
-            # capitalize the first letter of each word in the section name:
-            section_name = section_name.title()
-
             # Create a section for each section name in the section order:
             if section_name in pre_defined_sections:
+                if pre_defined_sections[section_name] is None:
+                    continue
+
                 entry_type = pre_defined_sections[section_name][0].__class__.__name__
                 entries = pre_defined_sections[section_name]
                 if section_name == "Test Scores":

tests/test_rendercv.py

@@ -508,6 +508,130 @@ class TestRendercv(unittest.TestCase):
                 result = connection.url
                 self.assertEqual(result, expected)
 
+    def test_data_curriculum_vitae_connections(self):
+        input = {
+            "name": "John Doe",
+            "location": "My Location",
+            "phone": "+905559876543",
+            "email": "john@doe.com",
+            "website": "https://www.example.com/",
+        }
+        exptected_length = 4
+        cv = data_model.CurriculumVitae(**input)
+        result = len(cv.connections)
+        with self.subTest(msg="without social networks"):
+            self.assertEqual(result, exptected_length)
+
+        input = {
+            "name": "John Doe",
+            "location": "My Location",
+            "phone": "+905559876543",
+            "email": "john@doe.com",
+            "website": "https://www.example.com/",
+            "social_networks": [
+                {"network": "LinkedIn", "username": "username"},
+                {"network": "GitHub", "username": "sinaatalay"},
+                {"network": "Instagram", "username": "username"},
+            ],
+        }
+        exptected_length = 7
+        cv = data_model.CurriculumVitae(**input)
+        result = len(cv.connections)
+        with self.subTest(msg="with social networks"):
+            self.assertEqual(result, exptected_length)
+
+    def test_data_curriculum_vitae_custom_sections(self):
+        # Valid custom sections:
+        input = {
+            "name": "John Doe",
+            "custom_sections": [
+                {
+                    "title": "My Custom Section 1",
+                    "entry_type": "OneLineEntry",
+                    "entries": [
+                        {
+                            "name": "My Custom Entry Name",
+                            "details": "My Custom Entry Value",
+                        },
+                        {
+                            "name": "My Custom Entry Name",
+                            "details": "My Custom Entry Value",
+                        },
+                    ],
+                },
+                {
+                    "title": "My Custom Section 2",
+                    "entry_type": "NormalEntry",
+                    "entries": [
+                        {"name": "My Custom Entry Name"},
+                        {"name": "My Custom Entry Name"},
+                    ],
+                },
+                {
+                    "title": "My Custom Section 3",
+                    "entry_type": "ExperienceEntry",
+                    "entries": [
+                        {
+                            "company": "My Custom Entry Name",
+                            "position": "My Custom Entry Value",
+                        },
+                        {
+                            "company": "My Custom Entry Name",
+                            "position": "My Custom Entry Value",
+                        },
+                    ],
+                },
+                {
+                    "title": "My Custom Section 4",
+                    "entry_type": "EducationEntry",
+                    "entries": [
+                        {
+                            "institution": "My Custom Entry Name",
+                            "area": "My Custom Entry Value",
+                        },
+                        {
+                            "institution": "My Custom Entry Name",
+                            "area": "My Custom Entry Value",
+                        },
+                    ],
+                },
+                {
+                    "title": "My Custom Section 5",
+                    "entry_type": "PublicationEntry",
+                    "entries": [
+                        {
+                            "title": "My Publication",
+                            "authors": [
+                                "Author 1",
+                                "Author 2",
+                            ],
+                            "doi": "10.1103/PhysRevB.76.054309",
+                            "date": "2020-01-01",
+                        },
+                        {
+                            "title": "My Publication",
+                            "authors": [
+                                "Author 1",
+                                "Author 2",
+                            ],
+                            "doi": "10.1103/PhysRevB.76.054309",
+                            "date": "2020-01-01",
+                        },
+                    ],
+                },
+            ],
+        }
+
+        with self.subTest(msg="valid custom sections"):
+            cv = data_model.CurriculumVitae(**input)
+            self.assertEqual(len(cv.sections), 5)
+
+        # Custom sections with duplicate titles:
+        input["custom_sections"][1]["title"] = "My Custom Section 1"
+        with self.subTest(msg="custom sections with duplicate titles"):
+            with self.assertRaises(ValidationError):
+                data_model.CurriculumVitae(**input)
+
 
 if __name__ == "__main__":
     unittest.main()