Пример #1
0
def test_load_plugins(datafiles):
    from sheetwork.core.adapters.base.connection import BaseConnection, BaseCredentials
    from sheetwork.core.adapters.base.impl import BaseSQLAdapter
    from sheetwork.core.adapters.factory import AdapterContainer
    from sheetwork.core.config.profile import Profile
    from sheetwork.core.config.project import Project
    from sheetwork.core.flags import FlagParser
    from sheetwork.core.main import parser

    flags = FlagParser(parser,
                       project_dir=str(datafiles),
                       profile_dir=str(datafiles))
    project = Project(flags)
    profile = Profile(project, "dev")
    profile.read_profile()

    a_c = AdapterContainer()
    a_c.register_adapter(profile)
    a_c.load_plugins()
    allowed_adaptors = {
        "sql_adapter": BaseSQLAdapter,
        "connection_adapter": BaseConnection,
        "credentials_adapter": BaseCredentials,
    }
    for plugin_type, plugin_class in allowed_adaptors.items():
        c_ada = getattr(a_c, plugin_type)
        assert issubclass(c_ada, plugin_class)
Пример #2
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def test_read_profile(datafiles):
    from sheetwork.core.config.profile import Profile
    from sheetwork.core.config.project import Project
    from sheetwork.core.flags import FlagParser
    from sheetwork.core.main import parser

    flags = FlagParser(parser,
                       project_dir=str(datafiles),
                       profile_dir=str(datafiles))
    project = Project(flags)
    profile = Profile(project, "dev")
    profile.read_profile()

    assert profile.profile_dict == EXPECTED_DEV_TEST_PROFILE
Пример #3
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def test_make_df_from_worksheet(datafiles, monkeypatch, empty_workbook):
    from sheetwork.core.clients.google import GoogleSpreadsheet
    from sheetwork.core.config.profile import Profile
    from sheetwork.core.flags import FlagParser
    from sheetwork.core.config.project import Project
    from sheetwork.core.main import parser
    from sheetwork.core.exceptions import SheetLoadingError, NoWorkbookLoadedError

    flags = FlagParser(parser,
                       project_dir=str(datafiles),
                       profile_dir=str(datafiles))
    project = Project(flags)
    profile = Profile(project)

    def mock__check_google_creds_exist(self):
        return True, Path()

    monkeypatch.setattr(GoogleSpreadsheet, "_check_google_creds_exist",
                        mock__check_google_creds_exist)
    g = GoogleSpreadsheet(profile)
    if empty_workbook:
        with pytest.raises(NoWorkbookLoadedError):
            g.workbook = None
            g.make_df_from_worksheet()
    else:
        g.workbook = "dummy_non_empty_content"
        with pytest.raises(SheetLoadingError):
            g.make_df_from_worksheet()
Пример #4
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def handle(parser: argparse.ArgumentParser) -> Union[InitTask, SheetBag, None]:
    """Pure orchestrator function.

    Calls pipeline based on the command asked for. It also sets up log levels and calls for CLI arg
    parsing JIT!.

    Args:
        parser (argparse.ArgumentParser): parser module to use for CLI parsing

    Returns:
        Union[InitTask, SheetBag, None]: Ran object of type Task (need to rework TODO)
    """
    flag_parser = FlagParser(parser)
    flag_parser.consume_cli_arguments()

    # set up traceback override
    SheetworkTracebackManager(flag_parser)

    if flag_parser.log_level == "debug":
        log_manager.set_debug()

    if flag_parser.args.command == "init":
        task: Union[init_task.InitTask, upload_task.SheetBag] = init_task.InitTask(flag_parser)
        return task.run()

    if flag_parser.args.command == "upload":
        project = Project(flag_parser)
        config = ConfigLoader(flag_parser, project)
        profile = Profile(project)
        task = upload_task.SheetBag(config, flag_parser, profile)
        return task.run()

    raise NotImplementedError(f"{flag_parser.args.command} is not supported")
Пример #5
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def test__override_gspread_default_creds(datafiles, monkeypatch):
    import gspread

    from sheetwork.core.clients.google import GoogleSpreadsheet
    from sheetwork.core.config.profile import Profile
    from sheetwork.core.config.project import Project
    from sheetwork.core.flags import FlagParser
    from sheetwork.core.main import parser

    # mock check for credentials so that we don't have to have a creds file in GH actions
    def mock__check_google_creds_exist(self) -> Tuple[bool, Path]:
        return True, Path("dummy")

    monkeypatch.setattr(GoogleSpreadsheet, "_check_google_creds_exist",
                        mock__check_google_creds_exist)

    # Patch gspread functions so they don't attempt to do stuff
    def mock_load_credentials(self) -> None:
        # noop
        pass

    def mock_store_credentials(self) -> None:
        # noop
        pass

    monkeypatch.setattr(gspread.auth, "load_credentials",
                        mock_load_credentials)
    monkeypatch.setattr(gspread.auth, "store_credentials",
                        mock_store_credentials)

    flags = FlagParser(parser,
                       project_dir=str(datafiles),
                       profile_dir=str(datafiles))
    project = Project(flags)
    profile = Profile(project, "end_user")
    gsheet = GoogleSpreadsheet(profile)

    # testing this also because who knows these might become deprecated
    assert hasattr(gspread.auth, "DEFAULT_CONFIG_DIR")
    assert hasattr(gspread.auth, "DEFAULT_CREDENTIALS_FILENAME")
    assert hasattr(gspread.auth, "DEFAULT_AUTHORIZED_USER_FILENAME")
    assert hasattr(gspread.auth, "DEFAULT_SERVICE_ACCOUNT_FILENAME")

    # now make the replacements
    gsheet._override_gspread_default_creds()
    g_creds_dir = profile.google_credentials_dir

    project_name = "sheetwork_test"
    assert gspread.auth.DEFAULT_CONFIG_DIR == g_creds_dir
    assert gspread.auth.DEFAULT_CREDENTIALS_FILENAME == g_creds_dir.joinpath(
        f"{project_name}.json")
    assert gspread.auth.DEFAULT_AUTHORIZED_USER_FILENAME == g_creds_dir.joinpath(
        f"{project_name}_authorised_user.json")
    assert gspread.auth.DEFAULT_SERVICE_ACCOUNT_FILENAME == g_creds_dir.joinpath(
        f"{project_name}_service_account.json")
Пример #6
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def test_exclude_columns(datafiles):
    from sheetwork.core.sheetwork import SheetBag
    from sheetwork.core.main import parser

    flags = FlagParser(
        parser,
        test_sheet_name="df_dropper",
        project_dir=str(datafiles),
        sheet_config_dir=str(datafiles),
        profile_dir=str(datafiles),
    )
    project = Project(flags)
    profile = Profile(project)
    config = ConfigLoader(flags, project)
    df = generate_test_df(DROP_COL_DF)
    excluded_df = SheetBag(config, flags, profile).exclude_columns(df)

    assert excluded_df.columns.tolist() == EXCLUDED_DF_COLS
Пример #7
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def test_rename_columns(datafiles):
    from sheetwork.core.sheetwork import SheetBag
    from sheetwork.core.main import parser

    flags = FlagParser(
        parser,
        test_sheet_name="df_renamer",
        project_dir=str(datafiles),
        sheet_config_dir=str(datafiles),
        profile_dir=str(datafiles),
    )
    project = Project(flags)
    profile = Profile(project)
    config = ConfigLoader(flags, project)
    df = generate_test_df(DIRTY_DF)
    renamed_df = SheetBag(config, flags, profile).rename_columns(df)

    assert renamed_df.columns.tolist() == RENAMED_COLS
Пример #8
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def test_load_sheet(datafiles):
    from sheetwork.core.sheetwork import SheetBag
    from sheetwork.core.main import parser

    flags = FlagParser(
        parser,
        test_sheet_name="df_renamer",
        project_dir=str(datafiles),
        sheet_config_dir=str(datafiles),
        profile_dir=str(datafiles),
    )
    project = Project(flags)
    config = ConfigLoader(flags, project)
    profile = Profile(project)
    with mock.patch.object(SheetBag,
                           "_obtain_googlesheet",
                           return_value=generate_test_df(DIRTY_DF)):
        sheetbag = SheetBag(config, flags, profile)
        sheetbag.load_sheet()
        target_df = generate_test_df(RENAMED_DF)
        assert target_df.equals(sheetbag.sheet_df)