radiens_core.videre_client

VidereClient — offline file-based analysis client.

Attributes

Classes

VidereClient

Bases: BaseFileClient

Client for offline file-based analysis.

Auto-discovers a running radiensserver on the local machine.

Usage::

with VidereClient() as client:
    meta = client.link_data_file("/path/to/recording.xdat")
    sigs = client.get_signals(meta, time_range=[0, 1], signals=[0, 1, 2])

Functions

clear_data_sources

clear_data_sources(dsource_ids)

Clear (unlink) data sources from the server.

Parameters:

Name	Type	Description	Default
`dsource_ids`	`list[str] \| str`	List of IDs (or a single ID) to clear.	required

Returns:

Type	Description
`list[str]`	List of successfully cleared IDs.

close

close()

Close all gRPC channels managed by this client.

copy_data_source_file

copy_data_source_file(src_path, dest_path, *, force=False)

Copy a server-side data source file to a new location.

Parameters:

Name	Type	Description	Default
`src_path`	`str \| Path`	Source file path on the server.	required
`dest_path`	`str \| Path`	Destination file path on the server.	required
`force`	`bool`	If `True`, overwrite existing destination file.	`False`

export_data_source

export_data_source(dsource, dest_path, force=False)

Export a data source to a new file.

Parameters:

Name	Type	Description	Default
`dsource`	`FlexDataset`	The data source to export (ID or metadata object).	required
`dest_path`	`str \| Path`	Destination file path.	required
`force`	`bool`	If `True`, overwrite existing destination file.	`False`

get_detect_params

get_detect_params(spike_sorter_id, channels=None)

Fetch active detection configurations per channel.

Parameters:

Name	Type	Description	Default
`spike_sorter_id`	`str`	Unique ID of the spike sorter.	required
`channels`	`list[int] \| None`	Optional list of native channel indices. If `None`, returns params for all configured channels.	`None`

Returns:

Type	Description
`dict[int, SpikeDetectParams]`	Map from native channel index to its `SpikeDetectParams`.

get_dsp_group

get_dsp_group(dataset)

Get DSP filter configuration for a dataset.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required

Returns:

Type	Description
`DSPGroup`	The current hardware and software filter parameters.

get_kpi_metrics

get_kpi_metrics(
    dataset,
    metrics,
    channel_indices=None,
    time_range=None,
    signal_type=SignalType.AMP,
)

Retrieve computed KPI signal metrics for a linked dataset.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required
`metrics`	`list[KpiMetricId]`	List of KPI metric identifiers to retrieve.	required
`channel_indices`	`list[int] \| None`	Native channel indices (ntvIdxs) to query. `None` returns metrics for all channels.	`None`
`time_range`	`FlexTimeRange \| None`	Time range within the dataset (e.g. `[start, end]` in seconds). `None` returns metrics over the full recording. Lookback mode is not supported for offline files.	`None`
`signal_type`	`SignalType`	Signal type to query (default `AMP`).	`AMP`

Returns:

Type	Description
`KpiMetricsResult`	Metric values as a `(n_channels, n_metrics)` numpy array with row/column labels.

Raises:

Type	Description
`ValueError`	If lookback time range mode is used (not supported offline).
`RadiensError`	On communication failure or server error.

get_kpi_status

get_kpi_status(dataset)

Get the current KPI cache status for a dataset.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required

Returns:

Type	Description
`KpiStatus`	Number of packets in cache, packet duration, memory usage, and availability state.

get_neurons

get_neurons(
    dataset,
    channels=None,
    time_range=None,
    *,
    spikes_id=None,
)

Retrieve neuron descriptors for a linked dataset.

Returns spike count, rate, SNR, waveform peak amplitude, and probe position for each sorted neuron, organized by recording channel.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required
`channels`	`FlexSignalSpec \| None`	Channels to include. Accepts a `list[int]` of amplifier channel indices, a `SignalSpec`, `"all"`, or `None`. `None` returns all amplifier channels.	`None`
`time_range`	`FlexTimeRange \| None`	Time range within the dataset (e.g. `[start, end]` in seconds). `None` returns neurons over the full recording. Lookback mode is not supported for offline files.	`None`
`spikes_id`	`str \| None`	Explicit spikes datasource ID. When `None` (the default), uses the first entry from `DatasetMetadata.associated_spikes_ids`.	`None`

Returns:

Type	Description
`NeuronsResult`	Neuron descriptors grouped by native channel index.

Raises:

Type	Description
`ValueError`	If lookback time range mode is used (not supported offline).
`RadiensError`	On communication failure or server error.

get_signals

get_signals(dataset, time_range=None, signals=None)

Retrieve signal data for a specific time range and channel selection.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required
`time_range`	`FlexTimeRange \| None`	Time range specification (e.g. `[start, end]` in seconds). `None` returns the full recording. Lookback mode is not supported for offline files.	`None`
`signals`	`FlexSignalSpec \| None`	Signal selection (e.g. list of amplifier channel indices). `None` returns all amplifier channels.	`None`

Returns:

Type	Description
`SignalArrays`	The requested signal data as numpy arrays.

Raises:

Type	Description
`ValueError`	If lookback time range mode is used (not supported offline).
`RadiensError`	On communication failure or server error.

get_spike_sorter_dashboard

get_spike_sorter_dashboard(spike_sorter_id, elements=None)

Get the spike sorter dashboard for monitoring sorting progress.

Parameters:

Name	Type	Description	Default
`spike_sorter_id`	`str`	Unique ID of the spike sorter to query.	required
`elements`	`list[DashElement] \| None`	Optional list of dashboard elements to include. If `None`, returns all default elements.	`None`

Returns:

Type	Description
`SpikeSorterDashboard`	Comprehensive dashboard data including summary metrics and port status.

get_spike_sorter_ids

get_spike_sorter_ids(dataset)

Get the IDs of all active spike sorters for a dataset.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required

Returns:

Type	Description
`list[str]`	List of active spike sorter IDs.

get_spike_sorter_state

get_spike_sorter_state(spike_sorter_id)

Get the current state and progress of a spike sorter.

Parameters:

Name	Type	Description	Default
`spike_sorter_id`	`str`	Unique ID of the spike sorter to query.	required

Returns:

Type	Description
`SpikeSorterState`	Current state including system status, progress, and messages.

get_spikes_by_channel

get_spikes_by_channel(
    dataset,
    channels=None,
    time_range=None,
    include_waveforms=False,
    *,
    spikes_id=None,
)

Retrieve spike timestamps and neuron labels per recording channel.

Returns one ChannelSpikeData entry per channel that has spikes in the requested time range.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required
`channels`	`FlexSignalSpec \| None`	Channels to include. Accepts a `list[int]` of amplifier channel indices, a `SignalSpec`, `"all"`, or `None`. `None` returns all amplifier channels.	`None`
`time_range`	`FlexTimeRange \| None`	Time range within the dataset (e.g. `[start, end]` in seconds). `None` returns spikes over the full recording. Lookback mode is not supported for offline files.	`None`
`include_waveforms`	`bool`	If `True`, also fetch waveform snippets for each spike. Adds a second RPC call. Default `False`.	`False`
`spikes_id`	`str \| None`	Explicit spikes datasource ID. When `None` (the default), uses the first entry from `DatasetMetadata.associated_spikes_ids`.	`None`

Returns:

Type	Description
`dict[int, ChannelSpikeData]`	Map from native channel index to spike data.

Raises:

Type	Description
`ValueError`	If lookback time range mode is used (not supported offline).
`RadiensError`	On communication failure or server error.

get_spikes_by_neuron

get_spikes_by_neuron(
    dataset,
    channels=None,
    time_range=None,
    include_waveforms=False,
    *,
    spikes_id=None,
)

Retrieve spike timestamps per sorted neuron.

Same data as get_spikes_by_channel() but regrouped by neuron identity rather than by channel.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required
`channels`	`FlexSignalSpec \| None`	Channels to include. Accepts a `list[int]` of amplifier channel indices, a `SignalSpec`, `"all"`, or `None`. `None` returns all amplifier channels.	`None`
`time_range`	`FlexTimeRange \| None`	Time range within the dataset (e.g. `[start, end]` in seconds). `None` returns spikes over the full recording. Lookback mode is not supported for offline files.	`None`
`include_waveforms`	`bool`	If `True`, also fetch waveform snippets for each spike. Adds a second RPC call. Default `False`.	`False`
`spikes_id`	`str \| None`	Explicit spikes datasource ID. When `None` (the default), uses the first entry from `DatasetMetadata.associated_spikes_ids`.	`None`

Returns:

Type	Description
`dict[int, NeuronSpikeData]`	Map from integer neuron label to spike data.

Raises:

Type	Description
`ValueError`	If lookback time range mode is used (not supported offline).
`RadiensError`	On communication failure or server error.

get_spikes_spec

get_spikes_spec(dataset, *, spikes_id=None)

Retrieve spike interface metadata for a linked dataset.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to query (metadata object, ID string, or file path).	required
`spikes_id`	`str \| None`	Explicit spikes datasource ID. When `None` (the default), uses the first entry from `DatasetMetadata.associated_spikes_ids`.	`None`

Returns:

Type	Description
`SpikesSpec`	Spike metadata including the biointerface ID, enabled channel indices, and spike time range.

Raises:

Type	Description
`RadiensError`	On communication failure or server error.

healthcheck

healthcheck(service=ServiceEndpoint.RADIENS_LIFECYCLE)

Verify the radiensserver is responsive.

Parameters:

Name	Type	Description	Default
`service`	`ServiceEndpoint`	Which gRPC service to probe (default `RADIENS_LIFECYCLE`). `RADIENS_CORE` is also supported.	`RADIENS_LIFECYCLE`

Raises:

Type	Description
`RadiensError`	If the health check fails or the server is unresponsive.

kpi_calculate

kpi_calculate(dataset)

Trigger KPI computation for a linked dataset.

Must be called before get_kpi_metrics returns useful data on a freshly linked file.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to compute KPIs for (metadata object, ID string, or file path).	required

Raises:

Type	Description
`RadiensError`	On communication failure or server error.

kpi_clear

kpi_clear(dataset)

Clear the KPI cache for a dataset.

Resets accumulated KPI state. Useful before rerunning with changed parameters.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to clear KPI state for (metadata object, ID string, or file path).	required

Raises:

Type	Description
`RadiensError`	On communication failure or server error.

link_data_file

link_data_file(fpath, file_type=None)

Link a recording file and return its metadata.

Also discovers and registers any associated .spikes file found alongside the recording. If found, the returned DatasetMetadata will have associated_spikes_ids populated, enabling the spike data methods on VidereClient.

Parameters:

Name	Type	Description	Default
`path`		Path to the recording file (e.g. `.xdat`, `.rhd`).	required

Returns:

Type	Description
`DatasetMetadata`	Metadata for the linked dataset.

Raises:

Type	Description
`RadiensError`	On communication failure or server error.

list_data_source_ids

list_data_source_ids()

List IDs of all currently linked data sources.

Returns:

Type	Description
`list[str]`	List of data source IDs.

list_data_sources

list_data_sources(dsource_ids=None)

List linked data sources and their metadata.

Parameters:

Name	Type	Description	Default
`dsource_ids`	`list[str] \| str \| None`	Optional list of specific IDs to query. If `None`, lists all.	`None`

Returns:

Type	Description
`dict[str, DatasetMetadata]`	Map of data source ID to metadata.

list_directory

list_directory(directory)

List files in a remote server-side directory.

Parameters:

Name	Type	Description	Default
`directory`	`str \| Path`	Server-side directory path to list.	required

Returns:

Type	Description
`list[FileInfo]`	Metadata for each file found in the directory.

move_data_source_file

move_data_source_file(src_path, dest_path, *, force=False)

Move a server-side data source file to a new location.

Parameters:

Name	Type	Description	Default
`src_path`	`str \| Path`	Source file path on the server.	required
`dest_path`	`str \| Path`	Destination file path on the server.	required
`force`	`bool`	If `True`, overwrite existing destination file.	`False`

remove_data_source_file

remove_data_source_file(path, *, force=False)

Remove a server-side data source file.

Parameters:

Name	Type	Description	Default
`path`	`str \| Path`	File path on the server to remove.	required
`force`	`bool`	If `True`, force removal even if the file is in use.	`False`

set_detect_params

set_detect_params(spike_sorter_id, params, channels)

Bulk-apply threshold, shadow, and window updates to targeted channels.

Fields in params that are None will not be modified.

Parameters:

Name	Type	Description	Default
`spike_sorter_id`	`str`	Unique ID of the spike sorter.	required
`params`	`SpikeDetectParams`	The detection parameters to apply.	required
`channels`	`list[int]`	List of native channel indices to apply the parameters to.	required

set_dsp_group

set_dsp_group(dataset, *, stage, params)

Update DSP filter configuration for a specific dataset and stage.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to update (metadata object, ID string, or file path).	required
`stage`	`FilterStage`	The filter stage to update (e.g. `STAGE1`, `STAGE2`).	required
`params`	`list[DSPParams]`	List of filter parameters for this stage.	required

set_kpi_packet_dur

set_kpi_packet_dur(dataset, packet_dur)

Set the KPI packet duration (integration window) for a dataset.

Parameters:

Name	Type	Description	Default
`dataset`	`FlexDataset`	Dataset to configure (metadata object, ID string, or file path).	required
`packet_dur`	`float`	Duration of each KPI packet in seconds.	required

Raises:

Type	Description
`RadiensError`	On communication failure or server error.

spike_sorter_cancel

spike_sorter_cancel(spike_sorter_id)

Cancel a running spike sorter.

Sends an OFF command. After this call, the server removes the sorter immediately — subsequent calls to get_spike_sorter_state or get_spike_sorter_dashboard with the same ID will raise ServerCommunicationError ("not found"). Use spike_sorter_delete() afterward only if auto-cleanup did not occur.

Equivalent to spike_sorter_command(id, SpikeSorterCommand.OFF).

Parameters:

Name	Type	Description	Default
`spike_sorter_id`	`str`	Unique ID of the spike sorter to cancel.	required

spike_sorter_command

spike_sorter_command(
    spike_sorter_id,
    cmd,
    *,
    sub_cmd=SpikeSorterSubCommand.NULL,
)

Send a command to a running spike sorter.

Parameters:

Name	Type	Description	Default
`spike_sorter_id`	`str`	Unique ID of the spike sorter to control.	required
`cmd`	`SpikeSorterCommand`	The command to execute (e.g., OFF, REBASE, CLEAR_SORT).	required
`sub_cmd`	`SpikeSorterSubCommand`	Optional sub-command modifier.	`NULL`

spike_sorter_delete

spike_sorter_delete(spike_sorter_id)

Delete a spike sorter and release its resources.

Parameters:

Name	Type	Description	Default
`spike_sorter_id`	`str`	Unique ID of the spike sorter to delete.	required

Raises:

Type	Description
`RadiensError`	On communication failure or server error.

spike_sorter_launch

spike_sorter_launch(params)

Launch a new spike sorter on a dataset.

Parameters:

Name	Type	Description	Default
`params`	`SpikeSorterLaunchParams`	Parameters for the sorter launch, including the target dataset ID, optional clustering/feature parameters, and noise discovery settings.	required

Returns:

Type	Description
`SpikeSorterLaunchResult`	The unique ID and type of the launched sorter.

Raises:

Type	Description
`RadiensError`	On communication failure or server error.