scan

plantimager.webui.scan

Scan Configuration and Execution Components for Plant Imager Web UI.

This module provides the user interface components and functionality for configuring and executing plant scans in the Plant Imager system.

Key Features

• TOML-based scan configuration editor
• Dataset name validation with real-time feedback
• Scan execution controls with status reporting
• Configuration file upload functionality
• Comprehensive error handling and user feedback

all_valid_characters

all_valid_characters(dataset_name)

Validates if all characters in a given dataset name are permissible.

Parameters:

Name	Type	Description	Default
dataset_name	str	The name of the dataset to be validated.	required

Returns:

Type	Description
bool	True if all characters in the dataset name are valid otherwise, False.

Source code in plantimager/webui/scan.py

def all_valid_characters(dataset_name: str) -> bool:
    """Validates if all characters in a given dataset name are permissible.

    Parameters
    ----------
    dataset_name : str
        The name of the dataset to be validated.

    Returns
    -------
    bool
        ``True`` if all characters in the dataset name are valid otherwise, ``False``.
    """
    return sum([letter in FORBIDDEN_CHAR for letter in dataset_name]) == 0

check_dataset_name_uniqueness

check_dataset_name_uniqueness(dataset_name, existing_datasets)

Check if the specified dataset name already exists.

Parameters:

Name	Type	Description	Default
dataset_name	str	The name of the dataset input by the user, which needs to be checked for uniqueness.	required
existing_datasets	list of str	A list containing the names of datasets that already exist.	required

Returns:

Type	Description
Dict[str, str]	A style dictionary for controlling the visibility of a message. If the dataset name already exists, the dictionary will display the message. Otherwise, it will hide the message.

Source code in plantimager/webui/scan.py

@callback(
    Output('dataset-exists-message', 'style'),
    Input('dataset-input-name', 'value'),
    State('dataset-list', 'data')
)
def check_dataset_name_uniqueness(dataset_name: str, existing_datasets: list[str]) -> dict[str, str]:
    """Check if the specified dataset name already exists.

    Parameters
    ----------
    dataset_name : str
        The name of the dataset input by the user, which needs to be checked
        for uniqueness.
    existing_datasets : list of str
        A list containing the names of datasets that already exist.

    Returns
    -------
    Dict[str, str]
        A style dictionary for controlling the visibility of a message. If the
        dataset name already exists, the dictionary will display the message.
        Otherwise, it will hide the message.
    """
    if dataset_name in existing_datasets:
        return {'display': 'block', 'margin-top': '10px'}
    else:
        return {'display': 'none'}

config_scan

config_scan(_, url, port, cfg, dataset_name)

Configure a plant scan with the specified configuration.

Parameters:

Name	Type	Description	Default
_	Any	Unused parameter (n_clicks from the button).	required
url	str	The hostname or IP address of the PlantDB REST API server.	required
port	str	The port number of the PlantDB REST API server.	required
cfg	str	The TOML configuration string for the scan.	required
dataset_name	str	The name to use for the dataset that will be created.	required

Returns:

Type	Description
Tuple[str, str]	A tuple containing two status messages: - First message: Short status for the alert component - Second message: Detailed status for the output component

Raises:

Type	Description
RuntimeError	If the Raspberry Pi Controller is not initialized.

Source code in plantimager/webui/scan.py

@callback(
    Output('scan-response', 'children', allow_duplicate=True),
    Output('scan-output', 'children', allow_duplicate=True),
    Input('config-scan-button', 'n_clicks'),
    State('rest-api-host', 'data'),
    State('rest-api-port', 'data'),
    State('scan-cfg-toml', 'value'),
    State('dataset-input-name', 'value'),
    prevent_initial_call=True,
)
def config_scan(_, url: str, port: str, cfg: str, dataset_name: str):
    """Configure a plant scan with the specified configuration.

    Parameters
    ----------
    _ : Any
        Unused parameter (n_clicks from the button).
    url : str
        The hostname or IP address of the PlantDB REST API server.
    port : str
        The port number of the PlantDB REST API server.
    cfg : str
        The TOML configuration string for the scan.
    dataset_name : str
        The name to use for the dataset that will be created.

    Returns
    -------
    Tuple[str, str]
        A tuple containing two status messages:
        - First message: Short status for the alert component
        - Second message: Detailed status for the output component

    Raises
    ------
    RuntimeError
        If the Raspberry Pi Controller is not initialized.
    """
    try:
        controller = RPCController.instance()
    except RuntimeError as e:
        return f"Error: Raspberry Pi Controller not initialized!", str(e)


    controller.set_db_url(f"http://{url}:{port}")
    controller.set_dataset_name(dataset_name)
    print(tomllib.loads(cfg))
    controller.set_config(tomllib.loads(cfg))

    return "Scan configured", "Scan configured, ready to start"

disable_scan_button

disable_scan_button(valid, n_intervals, previous_state)

Disables the 'Start scanning' button based on dataset validation status and if scanner is connected.

This callback function determines whether the 'start-scan-button' element should be disabled or enabled based on the validity of input provided to the 'dataset-input-name' element. If the input is not valid, the 'start-scan-button' is disabled.

Parameters:

Name	Type	Description	Default
valid	bool	Indicates whether the dataset input is valid. True if valid, False otherwise.	required
n_intervals	int	Number of times interval is raised	required

Returns:

Type	Description
bool	Returns True if the scan button should be disabled, and False if it should be enabled.

Source code in plantimager/webui/scan.py

@callback(
    Output('start-scan-button', 'disabled'),
    Output('config-scan-button', 'disabled'),
    Input('dataset-input-name', 'valid'),
    Input('main-interval', 'n_intervals'),
    State('start-scan-button', 'disabled')
)
def disable_scan_button(valid: bool, n_intervals: int, previous_state: bool) -> tuple[bool, bool]:
    """Disables the 'Start scanning' button based on dataset validation status and if scanner is connected.

    This callback function determines whether the 'start-scan-button' element
    should be disabled or enabled based on the validity of input provided
    to the 'dataset-input-name' element. If the input is not valid, the
    'start-scan-button' is disabled.

    Parameters
    ----------
    valid : bool
        Indicates whether the dataset input is valid.
        ``True`` if valid, ``False`` otherwise.
    n_intervals : int
        Number of times interval is raised

    Returns
    -------
    bool
        Returns ``True`` if the scan button should be disabled, and ``False``
        if it should be enabled.
    """
    try:
        RPCController.instance()
    except RuntimeError as e:
        if previous_state:
            raise PreventUpdate
        return True, True
    if previous_state == (not valid):
        raise PreventUpdate
    return not valid, not valid

is_valid_dataset_name

is_valid_dataset_name(dataset_name, existing_datasets)

Check if a dataset name is valid and does not already exist.

Parameters:

Name	Type	Description	Default
dataset_name	str	The name of the dataset to be validated.	required
existing_datasets	list of str	A list of dataset names that already exist.	required

Returns:

Type	Description
bool	True if the dataset name is valid and does not exist in the list of existing datasets, False otherwise.

Source code in plantimager/webui/scan.py

def is_valid_dataset_name(dataset_name: str, existing_datasets: list[str]) -> bool:
    """Check if a dataset name is valid and does not already exist.

    Parameters
    ----------
    dataset_name : str
        The name of the dataset to be validated.
    existing_datasets : list of str
        A list of dataset names that already exist.

    Returns
    -------
    bool
        ``True`` if the dataset name is valid and does not exist in the list of
        existing datasets, ``False`` otherwise.
    """
    if dataset_name not in existing_datasets and all_valid_characters(dataset_name):
        return True
    else:
        return False

run_scan

run_scan(_, url, port, cfg, dataset_name)

Execute a plant scan with the specified configuration.

Parameters:

Name	Type	Description	Default
_	Any	Unused parameter (n_clicks from the button).	required
url	str	The hostname or IP address of the PlantDB REST API server.	required
port	str	The port number of the PlantDB REST API server.	required
cfg	str	The TOML configuration string for the scan.	required
dataset_name	str	The name to use for the dataset that will be created.	required

Returns:

Type	Description
Tuple[str, str]	A tuple containing two status messages: - First message: Short status for the alert component - Second message: Detailed status for the output component

Raises:

Type	Description
RuntimeError	If the Raspberry Pi Controller is not initialized.

Source code in plantimager/webui/scan.py

@callback(
    Output('scan-response', 'children'),
    Output('scan-output', 'children', allow_duplicate=True),
    Input('start-scan-button', 'n_clicks'),
    State('rest-api-host', 'data'),
    State('rest-api-port', 'data'),
    State('scan-cfg-toml', 'value'),
    State('dataset-input-name', 'value'),
    prevent_initial_call=True,
    running=[
        (Output('start-scan-button', 'disabled', allow_duplicate=True), True, False),
        (Output('config-scan-button', 'disabled'), True, False),
        (Output('scan-progress-interval', 'disabled'), False, True),
        (Output('scan-response', 'children'), 'Scan in progress', ""),
        (Output('scan-output', 'children'), 'Scan in progress', ""),
    ]
)
def run_scan(_, url: str, port: str, cfg: str, dataset_name: str):
    """Execute a plant scan with the specified configuration.

    Parameters
    ----------
    _ : Any
        Unused parameter (n_clicks from the button).
    url : str
        The hostname or IP address of the PlantDB REST API server.
    port : str
        The port number of the PlantDB REST API server.
    cfg : str
        The TOML configuration string for the scan.
    dataset_name : str
        The name to use for the dataset that will be created.

    Returns
    -------
    Tuple[str, str]
        A tuple containing two status messages:
        - First message: Short status for the alert component
        - Second message: Detailed status for the output component

    Raises
    ------
    RuntimeError
        If the Raspberry Pi Controller is not initialized.
    """
    try:
        controller = RPCController.instance()
    except RuntimeError as e:
        return f"Error: Raspberry Pi Controller not initialized!", str(e)

    set_props('scan-response', {'children': "Scan started"})
    set_props('scan-output', {'children': "Scan in progress ..."})

    controller.progressChanged.connect(update_progress)
    controller.maxProgressChanged.connect(update_max_progress)
    update_progress(controller.progress)
    update_max_progress(controller.max_progress)

    controller.set_db_url(f"http://{url}:{port}")
    controller.set_dataset_name(dataset_name)
    print(tomllib.loads(cfg))
    controller.set_config(tomllib.loads(cfg))
    controller.run_scan()

    return "Scan finished", "Scan complete"

update_interval

update_interval(n_intervals)

Updates various components on a timer

Updates the camera list

Parameters:

Name	Type	Description	Default
n_intervals			required

Returns:

Name	Type	Description
str		Markdown message which is printed at available-cameras

Source code in plantimager/webui/scan.py

@callback(
    Output("available-cameras", "children"),
    Input("main-interval", "n_intervals"))
def update_interval(n_intervals):
    """Updates various components on a timer

    Updates the camera list

    Parameters
    ----------
    n_intervals

    Returns
    -------
    str:
        Markdown message which is printed at available-cameras

    """
    try:
        controller = RPCController.instance()
    except RuntimeError as e:
        return f"Controller not connected", str(e)
    if update_available_cameras not in controller.cameraNamesChanged.connections:
        controller.cameraNamesChanged.connect(update_available_cameras)
        update_available_cameras(controller.camera_names)


    if available_cameras:
        lines = []
        for camera in available_cameras:
            lines.append(f"- {camera}")
        return "\n".join(lines)
    else:
        return "No camera connected"

update_toml_cfg

update_toml_cfg(contents)

Updates the TOML configuration text area with the content of the uploaded base64 encoded config file.

Parameters:

Name	Type	Description	Default
contents	str	The base64 encoded string of the config file, containing both the content type and the encoded content, separated by a comma.	required

Returns:

Type	Description
str	The decoded TOML configuration string extracted from the uploaded base64 encoded config file.

Source code in plantimager/webui/scan.py

@callback(Output('scan-cfg-toml', 'value'),
          Input('cfg-upload', 'contents'),
          prevent_initial_call=True)
def update_toml_cfg(contents: str) -> str:
    """Updates the TOML configuration text area with the content of the uploaded base64 encoded config file.

    Parameters
    ----------
    contents : str
        The base64 encoded string of the config file, containing both the
        content type and the encoded content, separated by a comma.

    Returns
    -------
    str
        The decoded TOML configuration string extracted from the uploaded
        base64 encoded config file.
    """
    # Parse base64 encoded config file contents and update TOML text area
    content_type, content_string = contents.split(',')
    cfg = b64decode(content_string)
    return cfg.decode()

validate_dataset_name

validate_dataset_name(dataset_name, existing_datasets)

Callback to validate the selected dataset name.

It should follow two rules: 1. unicity: it should not exist in the database 2. decency: no fancy/weird/impossible characters are allowed!

Parameters:

Name	Type	Description	Default
dataset_name	str	The dataset name to validate.	required
existing_datasets	list	The dataset indexed dictionary that exists in the database.	required

Returns:

Type	Description
bool	The invalid state of the 'dataset-input-name' Input component.
bool	The valid state of the 'dataset-input-name' Input component.
str	The name of the dataset.

Source code in plantimager/webui/scan.py

@callback(
    Output('dataset-input-name', 'invalid'),
    Output('dataset-input-name', 'valid'),
    Output('dataset-id', 'data'),
    Input('dataset-input-name', 'value'),
    State('dataset-list', 'data')
)
def validate_dataset_name(dataset_name: str, existing_datasets: list[str]) -> tuple[bool, bool, str]:
    """Callback to validate the selected dataset name.

    It should follow two rules:
        1. unicity: it should not exist in the database
        2. decency: no fancy/weird/impossible characters are allowed!

    Parameters
    ----------
    dataset_name : str
        The dataset name to validate.
    existing_datasets : list
        The dataset indexed dictionary that exists in the database.

    Returns
    -------
    bool
        The `invalid` state of the 'dataset-input-name' `Input` component.
    bool
        The `valid` state of the 'dataset-input-name' `Input` component.
    str
        The name of the dataset.
    """
    if dataset_name is not None and is_valid_dataset_name(dataset_name, existing_datasets):
        return False, True, dataset_name
    else:
        return True, False, dataset_name