def list_requests()

in src/guclimate/requests/cli.py [0:0]
87 lines of code
11 McCabe index (conditional complexity)

def list_requests():
    client = ApiClient(progress=False,)

    job_choices = []
    longest_name_chars = 0

    jobs = client.get_jobs().response.json()["jobs"]

    for job in jobs:
        del job["links"]

        if "datasetMetadata" in job:
            del job["datasetMetadata"]

        job["parameters"] = client.get_remote(job["jobID"]).request

        name_and_variable = format_job_dataset_variable(job)

        if len(name_and_variable) > longest_name_chars:
            longest_name_chars = len(name_and_variable)

    for job in jobs:
        name_and_variable = format_job_dataset_variable(job)
        name_and_variable += " " * \
            (longest_name_chars - len(name_and_variable) + 3)

        formatted_job = (
            name_and_variable
            + format_job_status(job)
            + " "
            + format_iso_date(job["created"])
        )

        job_choices.append(
            (
                formatted_job,
                job,
            )
        )

    chosen_job = inquirer.list_input(
        message="Select a CDS request",
        choices=job_choices,
    )

    chosen_action = inquirer.list_input(
        message="What would you like to do with this request?",
        choices=[
            ("Download", "download"),
            (
                f"{ui.color('grey', 'Store in S3')}   {
                    ui.badge('grey', 'Coming soon')}",
                "s3",
            ),
        ],
        validate=lambda _, answer: answer != "s3",
    )

    if chosen_action == "download":
        chosen_format = inquirer.list_input(
            message="What format should this download be in?",
            choices=[
                ("GRIB", "grib"),
                ("NetCDF", "nc"),
                ("CSV", "csv"),
            ],
        )

        job_variable = chosen_job["parameters"]["variable"]

        if isinstance(job_variable, list):
            job_variable = job_variable[0]

        filename = inquirer.text(
            message="What will this file be called?",
            default=f"{job_variable}.{chosen_format}",
        )

        if not filename.endswith(chosen_format):
            filename += chosen_format

        full_download_path = os.getcwd() + "/" + filename

        with CdsDownload(client, chosen_job["jobID"]) as download:
            print("\nWorking on it...\n")

            download.download()

            with CdsTransformer(download) as transformer:
                if chosen_format == "grib":
                    result = transformer.save_as("grib", full_download_path)
                elif chosen_format == "nc":
                    result = transformer.save_as("nc", full_download_path)
                else:
                    result = transformer.save_as("csv", full_download_path)

                if result["files_created"] > 1:
                    ui.success(
                        f"'{result['filename']}' folder successfully created, "
                        + f"containing {result['files_created']} files."
                        + " Run [blue]open .[/blue] to see the file in Finder",
                        before="\n",
                    )
                else:
                    ui.success(
                        f"'{result['filename']}' successfully created."
                        + " Run [blue]open .[/blue] to see the file in Finder",
                        before="\n",
                    )