The pdg.BaseType object used to construct this instance

The type name of the type object.

Returns the path to an application specified by the given name. The work_item argument may be used to evaluate parms on the Scheduler node.

For example: scheduler.applicationBin('python', None) will return the path to a python executable to be used for python-based jobs.

Deletes the temporary directory and its contents.

The PDG Graph Context which contains this scheduler.

Set to True if the scheduler is configured to compress work item JSON data.

True if the scheduler is configured to wait for failed work items to be resolved before ending the cook.

Returns the static dependency graph for work items that would normally be processed by this scheduler. The graph is represented as a tuple containing a map of work item->dependencies, work item->dependents and a list of items currently ready to cook.

The expand_partitions argument configures whether partitions should be expanded into a flat dependency graph containing only regular work items, or kept in the tuple.

The name of the scheduler.

Issues a cook error on this node.

Issues a cook warning on this node.

Cooks the specified work item in process, if the work item’s isInProcess property is set to True.

Returns the evaluated boolean value of a scheduler parameter, checking if the parameter has been overridden on the node passed to this method.

This method will return the overridden scheduler parameter value if it has been overridden by the node passed to the method. Otherwise, it will return the scheduler’s evaluated parameter value. If the parameter cannot be found on the node or the scheduler, the default value passed to this method will be returned.

The node argument should be the node of the current work item being cooked by the scheduler.

The prefix parameter should specify the prefix of the parameter. For example, all overridable Local scheduler parameters are prefixed with “local”.

parm is the name of the parameter.

work_item is the work item currently being cooked by the scheduler.

default_value is the value to return if the parameter cannot be found on the node or on the scheduler.

Returns the evaluated float value of a scheduler parameter, checking if the parameter has been overridden on the node passed to this method.

This method will return the overridden scheduler parameter value if it has been overridden by the node passed to the method. Otherwise, it will return the scheduler’s evaluated parameter value. If the parameter cannot be found on the node or the scheduler, the default value passed to this method will be returned.

The node argument should be the node of the current work item being cooked by the scheduler.

The prefix parameter should specify the prefix of the parameter. For example, all overridable Local scheduler parameters are prefixed with “local”.

parm is the name of the parameter.

work_item is the work item currently being cooked by the scheduler.

default_value is the value to return if the parameter cannot be found on the node or on the scheduler.

Returns the evaluated integer value of a scheduler parameter, checking if the parameter has been overridden on the node passed to this method.

This method will return the overridden scheduler parameter value if it has been overridden by the node passed to the method. Otherwise, it will return the scheduler’s evaluated parameter value. If the parameter cannot be found on the node or the scheduler, the default value passed to this method will be returned.

The node argument should be the node of the current work item being cooked by the scheduler.

The prefix parameter should specify the prefix of the parameter. For example, all overridable Local scheduler parameters are prefixed with “local”.

parm is the name of the parameter.

work_item is the work item currently being cooked by the scheduler.

default_value is the value to return if the parameter cannot be found on the node or on the scheduler.

Returns the evaluated string value of a scheduler parameter, checking if the parameter has been overridden on the node passed to this method.

This method will return the overridden scheduler parameter value if it has been overridden by the node passed to the method. Otherwise, it will return the scheduler’s evaluated parameter value. If the parameter cannot be found on the node or the scheduler, the default value passed to this method will be returned.

The node argument should be the node of the current work item being cooked by the scheduler.

The prefix parameter should specify the prefix of the parameter. For example, all overridable Local scheduler parameters are prefixed with “local”.

parm is the name of the parameter.

work_item is the work item currently being cooked by the scheduler.

default_value is the value to return if the parameter cannot be found on the node or on the scheduler.

Replace the special PDG tokens in the given command with scheduler-specific values.

There are several text tokens that can be used in paths and command strings. The purpose of these tokens is to provide a way of specifying replacements that need to be done for the particular scheduler. For a local-machine only scheduler, these would be absolute paths. For a farm scheduler they would have to be based on environment variables or some other mechanism for doing machine-specific substitutions. The tokens are:

• __PDG_ITEM_NAME__

• __PDG_DIR__

• __PDG_TEMP__

• __PDG_SCRIPTDIR__

• __PDG_RESULT_SERVER__

• __PDG_PYTHON__

• __PDG_HYTHON__

• __PDG_HFS__

Returns the destination path that local_path will be copied to if it’s transfered by calling pdg.Scheduler.transferFile on this scheduler. When using this method files are always copied directly into the target directory, without preserving their directory structure.

local determines whether or not the local or remote file path prefix should be used in the output.

check_type determines whether or not the file’s extension should be used to determine which directory the file should be copied to. If check_type is True then the default_type is only used if an extension-specific directory can’t be determined. For example, Python scripts and assets are transfered to the PDG script directory and PDG asset directory respectively. Otherwise, if check_type is False, then the default_type argument will always determine the transfer destination.

Returns the polling client for this scheduler’s MQ server, if applicable. Returns None if there is none; for example, if this scheduler is local.

Returns pdg.workItemReadyResult.WorkItemReady if the specified work item is ready to cook. If the work item has failed dependencies the WorkItemFailed enum entry is returned, otherwise if the work item is still waiting then WorkItemBlocked is returned.

The index argument should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Returns the standard farm job name for the work item. If the work item has a custom label set, this function returns the label as-is. Otherwise, it returns a string using the format @pdg_name @pdg_index:4 @pdg_frame:2.

Localizes a remote path with respect to the scheduler’s working directory. This replaces __PDG_DIR__, __PDG_TEMP__ and __PDG_SCRIPTDIR__, with the absolute paths on the current machine.

Returns the given path to be based on the scheduler text tokens __PDG_DIR__ if possible.

Called to indicate a work item has a new output file. The path is the path to the file as a string, tag is the fie tag string and checksum is an integer value.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

If active_only is True, the scheduler will ignore calls to this method that correspond to work items that have already finished cooking, or are not active in the scheduler.

Called to indicate a work item has an array of new output file. paths is the array of paths to the file as a string, tag is the fie tag string or array of tag strings, and checksums is an array of integer values.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

If active_only is True, the scheduler will ignore calls to this method that correspond to work items that have already finished cooking, or are not active in the scheduler.

This method is more efficient than calling pdg.SchedulerBase.onWorkItemAddOutput multiple times.

Appends the specified log data to the end of the work item’s log. The log_type should be set to one of the enum values from pdg.workItemLogType.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called top indicate a work item has been canceled.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to indicate a work item has failed.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Invalidates the cache of the work item, without changing the output file list. This also causes downstream work items to recook instead of using cache files on the next cook. It has the same effect as calling pdg.WorkItem.invalidateCache directly on the work item.

This method is deprecated. Add an attribute using pdg.SchedulerBase.onWorkItemSetStringAttrib and others.

Called to set/changed an attribute value on a work item. values is an array of str, float or int values, and attribute_name is the string name of the attribute.

Sets the cook percent of the specified work item.

cook_percent: the new completion percentage of the work item. 0 means not started and 100 means it is complete.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Sets the custom state string of the specified work item.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to set/changed an attribute value on a work item. attribute_name is the name of the attribute. If attrib_index is passed, it is the index within the attribute to be set. In that case value should be a string. Otherwise value should be a list of strings.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to set/changed an attribute value on a work item. attribute_name is the name of the attribute. If attrib_index is passed, it is the index within the attribute to be set. In that case value should be an integer. Otherwise value should be a list of values.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to set/changed an attribute value on a work item. attribute_name is the name of the attribute. If attrib_index is passed, it is the index within the attribute to be set. In that case value should be a real number. Otherwise value should be a list of values.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to set/changed an attribute value on a work item. attribute_name is the name of the attribute. If attrib_index is passed, it is the index within the attribute to be set. In that case value should be a pdg.File. Otherwise value should be a list of pdg.File.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to set/changed an attribute value on a work item. attribute_name is the name of the attribute. If attrib_index is passed, it is the index within the attribute to be set. In that case value should be a pdg.Dictionary. Otherwise value should be a list of pdg.Dictionary.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to set/changed an attribute value on a work item. object_repr should be a string repr of a python object, and attribute_name is the string name of the attribute.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to indicate a work item has begun cooking. This method has no effect if the work item has already completed cooking.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

If clear_outputs is True, any existing output files added to the work item from previous cooks will be clear.

Called to indicate a work item has successfully finished.

index should be -1 if the item is not in a batch, or the batch index of the item if the work item is a sub item in a batch.

Called to return the status URI for the specified work item. This appears in the MMB detail window of a work item. It can be formatted to point to a local file with file:/// or a web page with 'http://'.

Returns the log URI for the specified work item. This appears in the MMB detail window of a work item, and is also available with the special @pdg_log attribute. It can be formatted to point to a local file with file:/// or a web page with 'http://'.

Submits the current network as a stand-alone job with this scheduler. The job will typically be a hython process the loads the current hip file and cooks the display node of the topnet that the submitting scheduler was in. The scheduler that is used to cook the topnet is decided by the topnet Default TOP Scheduler parm. Or by the TOP Scheduler Override parm on the TOP nodes.

Runs the specified callable object function on the main thread. If wait is True this method will block until the function has finished executing, otherwise it will return immediately. The return value produced by the function is returned by this method when wait is True. If wait is False this method will return a pdg.PyDeferredTask handle that refers to the task that will run on the main thread. It’s possible to wait on the task at any point by calling pdg.PyDeferredTask.wait on the handle.

Extra positional and key word arguments passed are passed to the function when it get invoked.

The method looks for a special work_item keyword argument to determine which work item should be made active while function is evaluating. If that argument is provided, the work item will be used for any parameter evaluations performed by the function.

Only one function can run on the main thread at a time. Each time this method is called the function is added to a queue of pending main thread calls, which are processed by the main thread while the PDG graph is cooking. If the graph is canceled any queued operations that have not yet begun to execute are also canceled. Scripts that are waiting on this method will be unblocked, with a return result of None.

For example, putting following code in a Python Script TOP will create work items that displays a Qt message that blocks the cook from continuing, until someone clicks on the OK button in the Qt dialog:

def show_dialog(message, text):
    from hutil.Qt import QtWidgets

    dialog = QtWidgets.QMessageBox()
    dialog.setWindowTitle(message)
    dialog.setText(text)

    dialog.exec_()

work_item.node.scheduler.runOnMainThread(
    True, show_dialog, "Cook PDG Message", "Click 'OK' to continue cooking.")

Transfers a local file into the scheduler’s working directory. If local_path is a file it is copied directly into the destination directory, and intermediate paths are not preserved. Returns True on success, and throws an exception if an error occurs while transfering the file.

check_type determines whether or not the file’s extension should be used to determine which directory the file should be copied to. If check_type is True then the default_type is only used if an extension-specific directory can’t be determined. For example, Python scripts and assets are transfered to the PDG script directory and PDG asset directory respectively. Otherwise, if check_type is False, then the default_type argument will always determine the transfer destination.

Returns the local absolute path to the working directory if local is True, otherwise returns the remote version of that path, which is specific to this scheduler. This is equivalent to __PDG_DIR__.

Returns the local absolute path to the temp directory if local is True, otherwise returns the remote version of that path, which is specific to this scheduler. This is the directory which will contain the pdgtemp subdirectory, which is used to store transient files for the cook, such as log files and script files.

Returns the local absolute path to the temporary script directory if local is True, otherwise returns the remote version of that path, which is specific to this scheduler. This is a convenience method to return the equivalent of tempDir(local) + "/scripts"

Returns the local absolute path to the temporary logs directory if local is True, otherwise returns the remote version of that path, which is specific to this scheduler. This is a convenience method to return the equivalent of tempDir(local) + "/logs"

Should be called in a local subprocess just before child is executed (Posix only). Creates a new session and assigns with the groupid equal to the new pid, for use will os.killpg. This ensures that the entire subprocess tree can be cleaned up. Also ensures that the subprocess lifetime is tied to the parent with a SIGTERM being sent to the subprocess when the parent dies.

Returns the number of logical CPU cores available to the process. This will be equal to the core count of the local machine unless modified by hou.setMaxThreads() or the environment variable HOUDINI_MAXTHREADS.

Returns the local absolute path to the temporary data directory if local is True, otherwise returns the remote version of that path, which is specific to this scheduler. This is a convenience method to return the equivalent of tempDir(local) + "/data". This directory holds serialized work items, usually in JSON format to be used by job scripts.

Sets whether or not the scheduler accepts in-process work items. By default this is False, except for the In-Process Scheduler TOP.

Sets the values of the local and remote working directory paths. See workingDir.

Sets the values of the local and remote temp directory paths. See tempDir.

Returns the network endpoint for the work item result server, in the format <HOST>:<PORT>, this is equivalent to the __PDG_RESULT_SERVER__ command token, and the job environment variable $PDG_RESULT_SERVER. This will typically be an XMLRPC API server.

Sets the value to be returned by workItemResultServerAddr

The PDG Service Manager will call this method to start a service using this scheduler. The scheduler must provide an implementation for this method if it supports PDG services.

The method should return True to indicate success, and False for failure.

The PDG Service Manager will call this method to stop a service that was started by this scheduler. The scheduler must provide an implementation for this method if it supports PDG services.

The method should return True to indicate success, and False for failure.

The /tops/pdg/Py.pdg.WorkItemDataSource.html setting for this scheduler, which determines how item data is transferred to a remote worker machine.