[DAR-6481][external] Remove 'dataset report' command

darwin/cli.py

@@ -145,8 +145,6 @@ def _run(args: Namespace, parser: ArgumentParser) -> None:
         # Remove a project (remotely)
         elif args.action == "remove":
             f.remove_remote_dataset(args.dataset)
-        elif args.action == "report":
-            f.dataset_report(args.dataset, args.granularity or "day", args.pretty)
         elif args.action == "export":
             f.export_dataset(
                 args.dataset,

darwin/cli_functions.py

@@ -300,65 +300,6 @@ def url(dataset_slug: str) -> None:
         _error(f"Dataset '{e.name}' does not exist.")
 
 
-def dataset_report(dataset_slug: str, granularity: str, pretty: bool) -> None:
-    """
-    Prints a dataset's report in CSV format.
-    Exits the application if no dataset is found.
-
-    Parameters
-    ----------
-    dataset_slug : str
-        The dataset's slug.
-    granularity : str
-        Granularity of the report, can be 'day', 'week' or 'month'.
-    pretty : bool
-        If ``True``, it will print the output in a Rich formatted table.
-    """
-    client: Client = _load_client()
-    console = Console(theme=_console_theme())
-    try:
-        remote_dataset: RemoteDataset = client.get_remote_dataset(
-            dataset_identifier=dataset_slug
-        )
-        report: str = remote_dataset.get_report(granularity)
-
-        if not pretty:
-            # if no one worked in the report, we print nothing
-            print(report)
-            return
-
-        lines: List[str] = report.split("\n")
-        lines.pop(0)  # remove csv headers
-
-        if not lines:
-            console.print("No one has worked on this dataset yet!\n", style="success")
-            return
-
-        lines.pop()  # remove last line, which is empty
-
-        table: Table = Table(show_header=True, header_style="bold cyan")
-        table.add_column("Date")
-        table.add_column("Dataset Id", justify="right")
-        table.add_column("Dataset Name", justify="right")
-        table.add_column("User Id", justify="right")
-        table.add_column("Email", justify="right")
-        table.add_column("First Name", justify="right")
-        table.add_column("Last Name", justify="right")
-        table.add_column("Annotation Time", justify="right")
-        table.add_column("Annotations Approved", justify="right")
-        table.add_column("Annotations Created", justify="right")
-        table.add_column("Images Annotated", justify="right")
-        table.add_column("Images Approved", justify="right")
-        table.add_column("Images Rejected", justify="right")
-
-        for row in lines:
-            table.add_row(*row.split(","))
-
-        console.print(table)
-    except NotFound:
-        _error(f"Dataset '{dataset_slug}' does not exist.")
-
-
 def export_dataset(
     dataset_slug: str,
     include_url_token: bool,

darwin/client.py

@@ -615,43 +615,6 @@ def annotation_types(self) -> List[Dict[str, UnknownType]]:
         )
         return response
 
-    def get_report(
-        self, dataset_id: int, granularity: str, team_slug: Optional[str] = None
-    ) -> Response:
-        """
-        Gets the report for the given dataset.
-
-        Parameters
-        ----------
-        dataset_id: int
-            The id of the dataset.
-        granularity: str
-            Granularity of the report, can be 'day', 'week' or 'month'.
-        team_slug: Optional[str]
-            Team slug of the team the dataset will belong to. Defaults to None.
-
-        Returns
-        ------
-        Response
-            The raw response of the report (CSV format) or None if the Team was not found.
-
-        Raises
-        ------
-        ValueError
-            If no team was found.
-        """
-        the_team: Optional[Team] = self.config.get_team(team_slug or self.default_team)
-
-        if not the_team:
-            raise ValueError("No team was found.")
-
-        the_team_slug: str = the_team.slug
-
-        return self._get_raw(
-            f"/reports/{the_team_slug}/annotation?group_by=dataset,user&dataset_ids={dataset_id}&granularity={granularity}&format=csv&include=dataset.name,user.first_name,user.last_name,user.email",
-            the_team_slug,
-        )
-
     def get_annotators_report(
         self,
         dataset_ids: list[int],

darwin/dataset/remote_dataset.py

@@ -718,22 +718,6 @@ def export(
             Omit this option to get your team's default.
         """
 
-    @abstractmethod
-    def get_report(self, granularity: str = "day") -> str:
-        """
-        Returns a String representation of a CSV report for this ``RemoteDataset``.
-
-        Parameters
-        ----------
-        granularity : str, default: "day"
-            The granularity of the report, can be 'day', 'week' or 'month'.
-
-        Returns
-        -------
-        str
-            A CSV report.
-        """
-
     @abstractmethod
     def get_releases(self, include_unavailable: bool = False) -> List["Release"]:
         """

darwin/dataset/remote_dataset_v2.py

@@ -13,7 +13,6 @@
     Iterable,
 )
 from pydantic import ValidationError
-from requests.models import Response
 
 from darwin.dataset import RemoteDataset
 from darwin.dataset.release import Release
@@ -504,25 +503,6 @@ def export(
             team_slug=self.team,
         )
 
-    def get_report(self, granularity: str = "day") -> str:
-        """
-        Returns a String representation of a CSV report for this ``RemoteDataset``.
-
-        Parameters
-        ----------
-        granularity : str, default: "day"
-            The granularity of the report, can be 'day', 'week' or 'month'.
-
-        Returns
-        -------
-        str
-            A CSV report.
-        """
-        response: Response = self.client.get_report(
-            self.dataset_id, granularity, self.team
-        )
-        return response.text
-
     def workview_url_for_item(self, item: DatasetItem) -> str:
         """
         Returns the darwin URL for the given ``DatasetItem``.

darwin/options.py

@@ -199,26 +199,6 @@ def __init__(self) -> None:
             "dataset", type=str, help="Remote dataset name to delete."
         )
 
-        # Report
-        parser_report = dataset_action.add_parser(
-            "report", help="Report about the annotators."
-        )
-        parser_report.add_argument(
-            "dataset", type=str, help="Remote dataset name to report on."
-        )
-        parser_report.add_argument(
-            "-g",
-            "--granularity",
-            choices=["day", "week", "month", "total"],
-            help="Granularity of the report.",
-        )
-        parser_report.add_argument(
-            "-r",
-            "--pretty",
-            action="store_true",
-            default=False,
-            help="Prints the results formatted in a rich table.",
-        )
         # Export
         parser_export = dataset_action.add_parser(
             "export", help="Export a version of a dataset."