feat: task.name -> name in task.toml

joj3_config_generator/generator.py

@@ -27,7 +27,7 @@ def convert_joj1_conf(joj1_conf: joj1.Config) -> task.Config:
 def convert_joj3_conf(repo_conf: repo.Config, task_conf: task.Config) -> result.Config:
     # Create the base ResultConf object
     result_conf = result.Config(
-        name=task_conf.task.name,
+        name=task_conf.name,
         # exact folder difference specified by type
         log_path=str(JOJ3_LOG_BASE_PATH / task_conf.suffix / JOJ3_LOG_FILENAME),
         # TODO: remove these 2 fields, will be handled in the health check stage

joj3_config_generator/models/task.py

@@ -266,7 +266,8 @@ class Config(BaseModel):
     path: Path = Field(Path("task.toml"), exclude=True)
     suffix: str = Field("", exclude=True)
 
-    task: Task = Task()  # Task name (e.g., hw3 ex5)
+    task: Task = Task()  # TODO: remove it in the future
+    name: str = "unknown"  # Task name (e.g., hw3 ex5)
     max_total_score: Optional[int] = Field(
         None, validation_alias=AliasChoices("max-total-score", "max_total_score")
     )
@@ -277,10 +278,17 @@ class Config(BaseModel):
     penalties: Penalties = Penalties()
     stages: List[Stage] = []  # list of stage configurations
 
+    # TODO: remove this validator in the future
+    @model_validator(mode="after")
+    def set_name(self) -> "Config":
+        if "task" in self.model_fields_set and "name" in self.task.model_fields_set:
+            self.name = self.task.name
+        return self
+
     @model_validator(mode="after")
     def set_suffix(self) -> "Config":
         if not self.suffix:
-            self.suffix = re.split(r"[-_/\s]+", self.task.name)[0]
+            self.suffix = re.split(r"[-_/\s]+", self.name)[0]
         return self
 
     @model_validator(mode="after")

joj3_config_generator/transformers/answer.py

@@ -9,16 +9,16 @@ def get_task_conf_from_answers(answers: answer.Answers) -> task.Config:
     if answers.template_file_content:
         toml_dict = tomli.loads(answers.template_file_content)
         return task.Config(
-            task=task.Task(name=answers.name),
+            name=answers.name,
             stages=toml_dict["stages"],
         )
     language = answers.language
     transformer_dict = get_transformer_dict()
     if language not in transformer_dict:
-        return task.Config(task=task.Task(name=answers.name), stages=[])
+        return task.Config(name=answers.name, stages=[])
     transformer = transformer_dict[language]
     stages = transformer(language)
-    return task.Config(task=task.Task(name=answers.name), stages=stages)
+    return task.Config(name=answers.name, stages=stages)
 
 
 def get_transformer_dict() -> Dict[