PyEcoTrend-ista¶

def __str__(self):
    """Str method.

    Returns
    -------
    str
        String representation of the object.
    """
    if self.response_code is not None:
        return f"{self.response_code}: {self.error_message}"
    return f"{self.error_message}"

def __str__(self) -> str:
    """Return a string representation of an authentication error."""
    return "An authentication error occurred during the request"

def __str__(self) -> str:
    """Return a string representation of parser error."""
    return "Error occurred during parsing of the request response"

def __str__(self) -> str:
    """Return a string representation of the error.."""
    return "Server error occurred during the request"

def __login(self) -> str | None:  # numpydoc ignore=ES01,EX01
    """
    Perform the login process to obtain an access token.

    If the email is a demo account, it logs in using a demo user login function.
    For other accounts, it retrieves a token using a login helper.

    Returns
    -------
    str or None
        The access token if login is successful, None otherwise.
    """
    if self._email == DEMO_USER_ACCOUNT:
        _LOGGER.debug("Logging in as demo user")
        token = self.demo_user_login()
    else:
        token = self.loginhelper.get_token()
    if token:
        self.access_token = token["access_token"]
        self._access_token_expires_in = token["expires_in"]
        self._refresh_token = token["refresh_token"]
        return self.access_token
    return None

def __refresh(self) -> None:  # numpydoc ignore=ES01,EX01
    """
    Refresh the access token using the refresh token.

    This method retrieves a new access token, updates internal variables,
    and resets the token expiration timer.

    Raises
    ------
    ParserError
        If there is an error parsing the request response.
    LoginError
        If there is an authorization failure.
    ServerError
        If there is a server error, connection timeout, or request exception.

    Notes
    -----
    This method assumes `self._refresh_token` is already set.
    """
    (
        self.access_token,
        self._access_token_expires_in,
        self._refresh_token,
    ) = self.loginhelper.refresh_token(self._refresh_token)

    self._header["Authorization"] = f"Bearer {self.access_token}"

def __set_account(self) -> None:  # numpydoc ignore=ES01,EX01
    """
    Fetch and set account information from the API.

    This method performs an API request to retrieve account information,
    handles various potential errors that might occur during the request,
    and sets instance variables accordingly using the response data.

    Raises
    ------
    ParserError
        If there is an error parsing the JSON response.
    LoginError
        If the request fails due to an authorization error.
    ServerError
        If the request fails due to a server error, timeout, or other request exceptions.
    """
    self._header = {
        "Content-Type": "application/json",
        "User-Agent": self.get_user_agent(),
        "Authorization": f"Bearer {self.access_token}",
    }
    url = f"{API_BASE_URL}account"
    try:
        with self.session.get(url, headers=self._header) as r:
            _LOGGER.debug("Performed GET request: %s [%s]:\n%s", url, r.status_code, r.text)
            r.raise_for_status()
            try:
                data = r.json()
            except requests.JSONDecodeError as exc:
                raise ParserError(
                    "Loading account information failed due to an error parsing the request response"
                ) from exc
    except requests.HTTPError as exc:
        if exc.response.status_code == HTTPStatus.UNAUTHORIZED:
            raise LoginError("Loading account information failed due to an authorization failure") from exc

        raise ServerError(
            "Loading account information failed due to a server error "
            f"[{exc.response.status_code}: {exc.response.reason}]"
        ) from exc
    except requests.Timeout as exc:
        raise ServerError("Loading account information failed due a connection timeout") from exc
    except requests.RequestException as exc:
        raise ServerError("Loading account information failed due to a request exception") from exc

    self._account = cast(AccountResponse, data)
    self._uuid = data["activeConsumptionUnit"]

def get_version(self) -> str:  # numpydoc ignore=EX01,ES01
    """
    Get the version of the PyEcotrendIsta client.

    Returns
    -------
    str
        The version number of the PyEcotrendIsta client.
    """
    return VERSION

def login(self, force_login: bool = False, debug: bool = False, **kwargs) -> str | None:  # numpydoc ignore=ES01,EX01,PR01,PR02
    """
    Perform the login process if not already connected or forced.

    Parameters
    ----------
    force_login : bool, optional
        If True, forces a fresh login attempt even if already connected. Default is False.
    debug : bool, optional
        [DEPRECATED] Flag indicating whether to enable debug logging. Default is False.
    forceLogin : bool, optional
        [DEPRECATED] Use `force_login` instead.

    Returns
    -------
    str or None
        The access token if login is successful, None otherwise.

    Raises
    ------
    LoginError
        If the login process fails due to an error.
    ServerError
        If a server error occurs during login attempts.
    InternalServerError
        If an internal server error occurs during login attempts.
    Exception
        For any other unexpected errors during the login process.

    """
    if debug:
        warnings.warn(
            "The 'debug' parameter is deprecated and will be removed in a future release.",
            DeprecationWarning,
            stacklevel=2,
        )

    if "forceLogin" in kwargs:
        warnings.warn(
            "The 'forceLogin' keyword parameter is deprecated and will be removed in a future release. "
            "Use force_login instead.",
            DeprecationWarning,
            stacklevel=2,
        )
        force_login = kwargs["forceLogin"]

    if not self._is_connected() or force_login:
        try:
            self.__login()
            self.__set_account()
        except (KeycloakError, LoginError) as exc:
            # Login failed
            self._access_token = None
            raise LoginError(
                "Login failed due to an authorization failure, please verify your email and password"
            ) from exc
        except ServerError as exc:
            raise ServerError("Login failed due to a request exception, please try again later") from exc

    return self.access_token

def userinfo(self, token):
    """
    Retrieve user information using the provided access token.

    This method constructs an authorization header using the provided access token
    and sends a GET request to the userinfo endpoint of the provider API. It expects
    a JSON response with user information.

    Parameters
    ----------
    token : str
        The access token used for authentication.

    Returns
    -------
    Any
        JSON response containing user information.

    Raises
    ------
    requests.exceptions.RequestException
        If an error occurs while making the HTTP request.

    Notes
    -----
    This method constructs an authorization header using the provided access token
    and sends a GET request to the userinfo endpoint of the provider API.
    It expects a JSON response with user information.

    Examples
    --------
    >>> client = PyEcotrendIsta(email="user@example.com", password="password")
    >>> token = client.login()
    >>> user_info = client.userinfo(token)
    """
    return self.loginhelper.userinfo(token=token)

def logout(self) -> None:
    """
    Perform logout operation by invalidating the current session.

    This method invokes the logout functionality in the loginhelper module,
    passing the current refresh token for session invalidation.

    Raises
    ------
    KeycloakPostError
    If an error occurs during the logout process. This error is raised based on the response from the logout request.

    Notes
    -----
    This method assumes `self._refresh_token` is already set.

    Examples
    --------
    >>> client = PyEcotrendIsta(email="user@example.com", password="password")
    >>> client.login()
    >>> client.logout()
    """
    if self.loginhelper.username != DEMO_USER_ACCOUNT:
        self.loginhelper.logout(self._refresh_token)

def get_uuids(self) -> list[str]:  # numpydoc ignore=ES01
    """
    Retrieve UUIDs of consumption units registered in the account.

    Returns
    -------
    list[str]
        A list containing UUIDs of consumption units. Each UUID represents a consumption unit,
        which could be a flat or a house for which consumption readings are provided.

    Notes
    -----
    A consumption unit represents a residence or building where consumption readings are recorded.
    The UUIDs are extracted from the `_residentAndConsumptionUuidsMap` attribute.

    Examples
    --------
    >>> client = PyEcotrendIsta(email="user@example.com", password="password")
    >>> client.login()
    >>> uuids = client.get_uuids()
    >>> print(uuids)
    ['uuid1', 'uuid2', 'uuid3']
    """
    return list(self._account.get("residentAndConsumptionUuidsMap", {}).values())

def consum_raw(  # noqa: C901
    self,
    select_year: list[int] | None = None,
    select_month: list[int] | None = None,
    filter_none: bool = True,
    obj_uuid: str | None = None,
) -> dict[str, Any] | ConsumptionsResponse:  # noqa: C901
    """
    Process and filter consumption and cost data for a given consumption unit.

    This method processes consumption and cost data obtained from the `get_consumption_data` method.
    It filters and aggregates data based on the parameters provided.

    Parameters
    ----------
    select_year : list[int] | None, optional
        List of years to filter data by year, default is None.
    select_month : list[int] | None, optional
        List of months to filter data by month, default is None.
    filter_none : bool, optional
        Whether to filter out None values in readings, default is True.
    obj_uuid : str | None, optional
        UUID of the consumption unit to fetch data for, default is None.

    Returns
    -------
    dict[str, Any] | ConsumptionsResponse
        Processed data including consumption types, total additional values, last values,
        last costs, sum by year, and last year compared consumption.

    Raises
    ------
    Exception
        If there is an unexpected error during data processing.

    Notes
    -----
    This method processes consumption and cost data obtained from the `get_consumption_data` method.
    It filters and aggregates data based on the parameters provided.

    Examples
    --------
    >>> api = PyEcotrendIsta()
    >>> result = api.consum_raw(select_year=[2023], select_month=[7], filter_none=True, obj_uuid="uuid")
    >>> print(result)
    """
    # Fetch raw consumption data for the specified UUID
    c_raw: ConsumptionsResponse = self.get_consumption_data(obj_uuid)

    if not isinstance(c_raw, dict) or (c_raw.get("consumptions") is None and c_raw.get("costs") is None):
        return c_raw

    if "consumptions" not in c_raw or not isinstance(c_raw.get("consumptions"), list):
        c_raw["consumptions"] = []

    consum_types = []
    all_dates = []
    indices_to_delete_consumption = []

    for i, consumption in enumerate(c_raw.get("consumptions", [])):
        if (
            not isinstance(consumption, dict)
            or "readings" not in consumption
            or consumption.get("readings") is None
            or not isinstance(consumption.get("readings"), list)
        ):
            consumption = {}
            continue

        for reading in consumption.get("readings", []):
            if reading["additionalValue"] is not None or reading["value"] is not None:
                consum_types.append(reading["type"])

        consum_types = list({consum_type for consum_type in consum_types if i is not None})

        new_readings = []
        if "date" in consumption:
            all_dates.append(consumption["date"])
        if select_month is None and select_year is None:
            for reading in consumption.get("readings", []):
                if filter_none and reading["type"] is not None:
                    new_readings.append(reading)
                elif not filter_none:
                    new_readings.append(reading)
        elif (
            select_year is not None
            and select_month is not None
            and consumption["date"]["year"] in select_year
            and consumption["date"]["month"] in select_month
        ):
            for reading in consumption.get("readings", []):
                if filter_none and reading["type"] is not None:
                    new_readings.append(reading)
                elif not filter_none:
                    new_readings.append(reading)
        elif select_year is not None and consumption["date"]["year"] in select_year and select_month is None:
            for reading in consumption.get("readings", []):
                if filter_none and reading["type"] is not None:
                    new_readings.append(reading)
                elif not filter_none:
                    new_readings.append(reading)
        elif select_month is not None and consumption["date"]["month"] in select_month and select_year is None:
            for reading in consumption.get("readings", []):
                if filter_none and reading["type"] is not None:
                    new_readings.append(reading)
                elif not filter_none:
                    new_readings.append(reading)
        if new_readings:
            consumption["readings"] = new_readings
        else:
            indices_to_delete_consumption.append(i)

    for index in sorted(indices_to_delete_consumption, reverse=True):
        if index < len(c_raw["consumptions"]):
            del c_raw["consumptions"][index]

    _all_date = all_dates
    new_date = []
    sum_by_year = {}
    for date in _all_date:
        if select_year is None or date["year"] in select_year:
            new_date.append(date["year"])
    new_date = list(dict.fromkeys(new_date))

    cost_consum_types = consum_types

    sum_by_year = {typ: {year: 0.0 for year in new_date} for typ in cost_consum_types}

    # pylint: disable=too-many-nested-blocks
    for item in c_raw.get("consumptions", []):
        if "readings" not in item or not item["readings"]:
            continue
        for reading in item.get("readings", []):
            if reading.get("type", None) is None:
                continue
            for typ in cost_consum_types:
                for year in new_date:
                    if reading["type"] == typ and item["date"]["year"] == year:
                        if reading["value"]:
                            sum_by_year[typ][year] += round(
                                float(reading["value"].replace(",", ".")),
                                1,
                            )
                        else:
                            sum_by_year[typ][year] += round(
                                (
                                    float(reading["additionalValue"].replace(",", "."))
                                    if reading["additionalValue"] is not None
                                    else 0.0
                                ),
                                1,
                            )

                        if reading["type"] == "warmwater":
                            sum_by_year["ww"] = reading["unit"]
                        elif reading["type"] == "water":
                            sum_by_year["w"] = reading["unit"]
                        elif reading["type"] == "heating" and reading["unit"]:
                            sum_by_year["h"] = reading["unit"]
                        elif reading["type"] == "heating":
                            sum_by_year["h"] = reading["additionalUnit"]

    indices_to_delete_costs = []

    if "costs" not in c_raw or not isinstance(c_raw.get("costs"), list):
        c_raw["costs"] = []

    for i, costs in enumerate(c_raw.get("costs", [])):
        new_readings = []
        if "costsByEnergyType" in costs:
            if select_month is None and select_year is None:
                for reading in costs.get("costsByEnergyType", []):
                    if filter_none and reading["type"] is not None:
                        new_readings.append(reading)
                    elif not filter_none:
                        new_readings.append(reading)
            elif (
                select_year is not None
                and select_month is not None
                and costs["date"]["year"] in select_year
                and costs["date"]["month"] in select_month
            ):
                for reading in costs.get("costsByEnergyType", []):
                    if filter_none and reading["type"] is not None:
                        new_readings.append(reading)
                    elif not filter_none:
                        new_readings.append(reading)
            elif select_year is not None and costs["date"]["year"] in select_year and select_month is None:
                for reading in costs.get("costsByEnergyType", []):
                    if filter_none and reading["type"] is not None:
                        new_readings.append(reading)
                    elif not filter_none:
                        new_readings.append(reading)
            elif select_month is not None and costs["date"]["month"] in select_month and select_year is None:
                for reading in costs.get("costsByEnergyType", []):
                    if filter_none and reading["type"] is not None:
                        new_readings.append(reading)
                    elif not filter_none:
                        new_readings.append(reading)
        if new_readings:
            costs["costsByEnergyType"] = new_readings
        else:
            indices_to_delete_costs.append(i)
    for index in sorted(indices_to_delete_costs, reverse=True):
        if "costs" in c_raw and index < len(c_raw["costs"]):
            del c_raw["costs"][index]

    for key in [
        "consumptionsBillingPeriods",
        "costsBillingPeriods",
        "resident",
        "co2Emissions",
        "co2EmissionsBillingPeriods",
    ]:
        if key in c_raw:
            del c_raw[key]

    consumptions: list = c_raw.get("consumptions", [])
    costs: list = c_raw.get("costs", [])

    combined_data = []
    for cost_entry in costs:
        for consumption_entry in consumptions:
            # Überprüfen, ob die Daten das gleiche Datum haben
            if cost_entry["date"] == consumption_entry["date"]:
                # Wenn ja, kombiniere die Kosten- und Verbrauchsdaten in einem Eintrag
                combined_entry = {
                    "date": cost_entry["date"],
                    "consumptions": consumption_entry["readings"],
                    "costs": cost_entry["costsByEnergyType"],
                }

                combined_data.append(combined_entry)

    total_additional_values = {}
    total_additional_custom_values = {}
    for consumption_unit in consumptions:
        if "readings" not in consumption_unit or not consumption_unit["readings"]:
            continue
        for reading in consumption_unit.get("readings", []):
            if reading["type"] is None or (reading["value"] is None and reading["additionalValue"] is None):
                continue

            if reading["type"] not in total_additional_custom_values:
                total_additional_custom_values[reading["type"]] = 0.0
            if reading["additionalValue"]:
                total_additional_custom_values[reading["type"]] += round(
                    float(reading["additionalValue"].replace(",", ".")), 1
                )
            else:
                total_additional_custom_values[reading["type"]] += round(
                    (float(reading["value"].replace(",", ".")) if reading["value"] is not None else 0.0),
                    1,
                )

            if reading["type"] == "warmwater":
                total_additional_custom_values["ww"] = reading["additionalUnit"]
            elif reading["type"] == "water":
                total_additional_custom_values["w"] = reading["additionalUnit"]
            elif reading["type"] == "heating" and reading["additionalUnit"]:
                total_additional_custom_values["h"] = reading["additionalUnit"]
            elif reading["type"] == "heating":
                total_additional_custom_values["h"] = reading["unit"]

            if reading["type"] not in total_additional_values:
                total_additional_values[reading["type"]] = 0.0
            if reading["value"]:
                total_additional_values[reading["type"]] += round(float(reading["value"].replace(",", ".")), 1)
            else:
                total_additional_values[reading["type"]] += round(
                    (
                        float(reading["additionalValue"].replace(",", "."))
                        if reading["additionalValue"] is not None
                        else 0.0
                    ),
                    1,
                )

            if reading["type"] == "warmwater":
                total_additional_values["ww"] = reading["unit"]
            elif reading["type"] == "water":
                total_additional_values["w"] = reading["unit"]
            elif reading["type"] == "heating" and reading["unit"]:
                total_additional_values["h"] = reading["unit"]
            elif reading["type"] == "heating":
                total_additional_values["h"] = reading["additionalUnit"]

    last_value = None
    last_custom_value = None
    last_year_compared_consumption = None

    if consumptions:
        last_value = {}
        last_custom_value = {}
        last_year_compared_consumption = {}

        if len(consumptions) > 0 and "readings" in consumptions[0] and consumptions[0]["readings"]:
            for reading in consumptions[0]["readings"]:
                if reading["type"] is None or (reading["value"] is None and reading["additionalValue"] is None):
                    continue

                if reading["comparedConsumption"]:
                    last_year_compared_consumption[reading["type"]] = reading["comparedConsumption"]
                    last_year_compared_consumption[reading["type"]]["comparedValue"] = float(
                        last_year_compared_consumption[reading["type"]]["comparedValue"].replace(",", ".")
                    )

                    if reading["value"]:
                        last_year_compared_consumption[reading["type"]]["nowYearValue"] = float(
                            reading["value"].replace(",", ".")
                        )
                    elif reading["additionalValue"]:
                        last_year_compared_consumption[reading["type"]]["nowYearValue"] = float(
                            reading["additionalValue"].replace(",", ".")
                        )
                    if "period" in last_year_compared_consumption[reading["type"]]:
                        del last_year_compared_consumption[reading["type"]]["period"]

                if reading["type"] not in last_custom_value:
                    last_custom_value[reading["type"]] = 0.0
                if reading["additionalValue"]:
                    last_custom_value[reading["type"]] += float(reading["additionalValue"].replace(",", "."))
                else:
                    last_custom_value[reading["type"]] += (
                        float(reading["value"].replace(",", ".")) if reading["value"] is not None else 0.0
                    )

                if reading["type"] == "warmwater":
                    last_custom_value["ww"] = reading["additionalUnit"]
                elif reading["type"] == "water":
                    last_custom_value["w"] = reading["additionalUnit"]
                elif reading["type"] == "heating" and reading["additionalUnit"]:
                    last_custom_value["h"] = reading["additionalUnit"]
                elif reading["type"] == "heating":
                    last_custom_value["h"] = reading["unit"]

                if reading["type"] not in last_value:
                    last_value[reading["type"]] = 0.0
                if reading["value"]:  # reading["type"] in ("warmwater", "water", "heating") and
                    last_value[reading["type"]] += float(reading["value"].replace(",", "."))
                else:
                    last_value[reading["type"]] += (
                        float(reading["additionalValue"].replace(",", "."))
                        if reading["additionalValue"] is not None
                        else 0.0
                    )
                if reading["type"] == "warmwater":
                    last_value["ww"] = reading["unit"]
                elif reading["type"] == "water":
                    last_value["w"] = reading["unit"]
                elif reading["type"] == "heating" and reading["additionalUnit"]:
                    last_value["h"] = reading["unit"]
                elif reading["type"] == "heating":
                    last_value["h"] = reading["additionalUnit"]

        last_custom_value["month"] = consumptions[0]["date"]["month"]
        last_custom_value["year"] = consumptions[0]["date"]["year"]

        last_value["month"] = consumptions[0]["date"]["month"]
        last_value["year"] = consumptions[0]["date"]["year"]

    last_costs = None
    if costs:
        if last_costs is None:
            last_costs = {}
        for costs_by_energy_type in costs[0]["costsByEnergyType"]:
            # pylint: disable=too-many-boolean-expressions
            if (
                costs_by_energy_type is None
                or "type" not in costs_by_energy_type
                or costs_by_energy_type["type"] is None
                or "comparedCost" not in costs_by_energy_type
                or costs_by_energy_type["comparedCost"] is None
                or "smiley" not in costs_by_energy_type["comparedCost"]
                or costs_by_energy_type["comparedCost"]["smiley"] is None
                or "comparedPercentage" not in costs_by_energy_type["comparedCost"]
                or costs_by_energy_type["comparedCost"]["comparedPercentage"] is None
            ):
                continue

            if costs_by_energy_type["type"] not in last_costs:
                last_costs[costs_by_energy_type["type"]] = 0.0
            last_costs[costs_by_energy_type["type"]] += costs_by_energy_type["value"]
            last_costs["unit"] = costs_by_energy_type["unit"]
            if costs_by_energy_type["type"] == "warmwater":
                if costs_by_energy_type["comparedCost"]["smiley"] == ["MAD", "EQUAL"]:
                    last_costs["ww"] = costs_by_energy_type["comparedCost"]["comparedPercentage"]
                elif costs_by_energy_type["comparedCost"]["smiley"] in ["HAPPY"]:
                    last_costs["ww"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] * -1
            elif costs_by_energy_type["type"] == "water":
                if costs_by_energy_type["comparedCost"]["smiley"] == ["MAD", "EQUAL"]:
                    last_costs["w"] = costs_by_energy_type["comparedCost"]["comparedPercentage"]
                elif costs_by_energy_type["comparedCost"]["smiley"] in ["HAPPY"]:
                    last_costs["w"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] * -1
            elif costs_by_energy_type["type"] == "heating":
                if costs_by_energy_type["comparedCost"]["smiley"] in ["MAD", "EQUAL"]:
                    last_costs["h"] = costs_by_energy_type["comparedCost"]["comparedPercentage"]
                elif costs_by_energy_type["comparedCost"]["smiley"] in ["HAPPY"]:
                    last_costs["h"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] * -1
        last_costs["month"] = costs[0]["date"]["month"]
        last_costs["year"] = costs[0]["date"]["year"]

    return CustomRaw.from_dict(
        {
            "consum_types": consum_types,
            "combined_data": None,  # combined_data,
            "total_additional_values": total_additional_values,
            "total_additional_custom_values": total_additional_custom_values,
            "last_value": last_value,
            "last_custom_value": last_custom_value,
            "last_costs": last_costs,
            "all_dates": None,  # all_dates,
            "sum_by_year": sum_by_year,
            "last_year_compared_consumption": last_year_compared_consumption,
        }
    ).to_dict()

def get_consumption_data(self, obj_uuid: str | None = None) -> ConsumptionsResponse:
    """
    Fetch consumption data from the API for a specific consumption unit.

    This method sends a GET request to the ista EcoTrend API to retrieve consumption data
    for a specific consumption unit identified by the provided UUID. If no UUID is provided,
    the method uses the UUID associated with the instance.

    Parameters
    ----------
    obj_uuid : str, optional
        The UUID of the consumption unit. If not provided,
        defaults to the UUID associated with the instance (`self._uuid`).

    Returns
    -------
    ConsumptionsResponse
        A dictionary containing the consumption data fetched from the API.


    Raises
    ------
    LoginError
        If the API responds with an error indicating authorization failure.
    ParserError
        If there is an error parsing the request response.
    ValueError
        If the provided UUID is invalid.
    ServerError
        If there is a server error, connection timeout, or request exception.

    Examples
    --------
    >>> api = PyEcotrendIsta()
    >>> data = api.get_consumption_data(obj_uuid="uuid")
    >>> print(data)
    """
    params = {"consumptionUnitUuid": obj_uuid or self._uuid}
    url = f"{API_BASE_URL}consumptions"
    try:
        with self.session.get(
            url,
            params=params,
            headers=self._header,
        ) as result:
            _LOGGER.debug("Performed GET request: %s [%s]:\n%s", url, result.status_code, result.text[:100])
            result.raise_for_status()
            try:
                return cast(ConsumptionsResponse, result.json())
            except requests.JSONDecodeError as exc:
                raise ParserError("Loading consumption data failed due to an error parsing the request response") from exc
    except requests.HTTPError as exc:
        if exc.response.status_code == HTTPStatus.UNAUTHORIZED:
            raise LoginError("Loading consumption data failed failed due to an authorization failure") from exc
        if exc.response.status_code == HTTPStatus.BAD_REQUEST:
            raise ValueError(
                f"Invalid UUID. Retrieving data for consumption unit {obj_uuid or self._uuid} failed"
            ) from exc
        raise ServerError(
            "Loading consumption data failed due to a server error " f"[{exc.response.status_code}: {exc.response.reason}]"
        ) from exc
    except requests.Timeout as exc:
        raise ServerError("Loading consumption data failed due a connection timeout") from exc
    except requests.RequestException as exc:
        raise ServerError("Loading consumption data failed due to a request exception") from exc

def get_consumption_unit_details(self) -> ConsumptionUnitDetailsResponse:  # numpydoc ignore=ES01,EX01
    """
    Retrieve details of the consumption unit from the API.

    Returns
    -------
    ConsumptionUnitDetailsResponse
        A dictionary containing the details of the consumption unit.

    Raises
    ------
    LoginError
        If the API responds with an authorization failure.
    ParserError
        If there is an issue with decoding the JSON response
    ServerError
        If there is a server error, connection timeout, or request exception.
    """
    url = f"{API_BASE_URL}menu"
    try:
        with self.session.get(url, headers=self._header) as r:
            _LOGGER.debug("Performed GET request: %s [%s]:\n%s", url, r.status_code, r.text)

            r.raise_for_status()
            try:
                return cast(ConsumptionUnitDetailsResponse, r.json())
            except requests.JSONDecodeError as exc:
                raise ParserError(
                    "Loading consumption unit details failed due to an error parsing the request response"
                ) from exc
    except requests.HTTPError as exc:
        if exc.response.status_code == HTTPStatus.UNAUTHORIZED:
            raise LoginError("Loading consumption unit details failed failed due to an authorization failure") from exc

        raise ServerError(
            "Loading consumption unit details failed due to a server error "
            f"[{exc.response.status_code}: {exc.response.reason}]"
        ) from exc
    except requests.Timeout as exc:
        raise ServerError("Loading consumption unit details failed due a connection timeout") from exc
    except requests.RequestException as exc:
        raise ServerError("Loading consumption unit details failed due to a request exception") from exc

def get_support_code(self) -> str | None:  # numpydoc ignore=ES01,EX01
    """
    Return the support code associated with the instance.

    Returns
    -------
    str or None
        The support code associated with the instance, or None if not set.
    """
    return getattr(self, "_account", {}).get("supportCode")

def get_user_agent(self) -> str:  # numpydoc ignore=ES01,EX01
    """
    Return the User-Agent string used for HTTP requests.

    Returns
    -------
    str
        The User-Agent string.

    Notes
    -----
    This method provides a static User-Agent string commonly used for web browsers.
    """
    return (
        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.67"
        " Safari/537.36"
    )

def demo_user_login(self) -> GetTokenResponse:  # numpydoc ignore=ES01,EX01
    """
    Retrieve authentication tokens for the demo user.

    Returns
    -------
    GetTokenResponse
        A TypedDict containing authentication tokens including 'accessToken',
        'accessTokenExpiresIn', and 'refreshToken'.

    Raises
    ------
    ParserError
        If there is an error parsing the request response.
    ServerError
        If there is a server error, connection timeout, or request exception.
    """
    url = f"{API_BASE_URL}demo-user-token"
    try:
        self._header["User-Agent"] = self.get_user_agent()
        with self.session.get(url, headers=self._header) as r:
            _LOGGER.debug("Performed GET request %s [%s]:\n%s", url, r.status_code, r.text)

            r.raise_for_status()
            try:
                data = r.json()
                key = iter(GetTokenResponse.__annotations__)
                token = {next(key): value for value in data.values()}
                return cast(GetTokenResponse, token)
            except requests.JSONDecodeError as exc:
                raise ParserError("Demo user authentication failed due to an error parsing the request response") from exc
    except requests.HTTPError as exc:
        raise ServerError(
            "Demo user authentication failed due to a server error " f"[{exc.response.status_code}: {exc.response.reason}]"
        ) from exc
    except requests.Timeout as exc:
        raise ServerError("Demo user authentication failed due a connection timeout") from exc
    except requests.RequestException as exc:
        raise ServerError("Demo user authentication failed due to a request exception") from exc

def get_account(self) -> AccountResponse | None:  # numpydoc ignore=ES01,EX01
    """
    Retrieve the account information.

    Returns the `_account` attribute if it exists, otherwise returns None.

    Returns
    -------
    AccountResponse | None
        Account information if available, otherwise None.
    """
    return getattr(self, "_account", None)