Method task_names

invoke/collection.py:513–542

Return all task identifiers for this collection as a one-level dict. Specifically, a dict with the primary/"real" task names as the key, and any aliases as a list value. It basically collapses the namespace tree into a single easily-scannable collection of

(self)

    @property
    def task_names(self) -> Dict[str, List[str]]:
        """
        Return all task identifiers for this collection as a one-level dict.

        Specifically, a dict with the primary/"real" task names as the key, and
        any aliases as a list value.

        It basically collapses the namespace tree into a single
        easily-scannable collection of invocation strings, and is thus suitable
        for things like flat-style task listings or transformation into parser
        contexts.

        .. versionadded:: 1.0
        """
        ret = {}
        # Our own tasks get no prefix, just go in as-is: {name: [aliases]}
        for name, task in self.tasks.items():
            ret[name] = list(map(self.transform, task.aliases))
        # Subcollection tasks get both name + aliases prefixed
        for coll_name, coll in self.collections.items():
            for task_name, aliases in coll.task_names.items():
                aliases = list(
                    map(lambda x: self.subtask_name(coll_name, x), aliases)
                )
                # Tack on collection name to alias list if this task is the
                # collection's default.
                if coll.default == task_name:
                    aliases += (coll_name,)
                ret[self.subtask_name(coll_name, task_name)] = aliases
        return ret

    def configuration(self, taskpath: Optional[str] = None) -> Dict[str, Any]:
        """