forked from M-Labs/artiq
dashboard: Plumb through datasets client to ExperimentManager
This is analogous to the explist/schedule subscribers, and allows custom argument editors (such as ndscan) to provide hints/defaults/… from datasets once available.
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@ -544,7 +544,7 @@ class _QuickOpenDialog(QtWidgets.QDialog):
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class ExperimentManager:
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def __init__(self, main_window,
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def __init__(self, main_window, dataset_sub,
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explist_sub, schedule_sub,
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schedule_ctl, experiment_db_ctl):
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self.main_window = main_window
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@ -556,6 +556,8 @@ class ExperimentManager:
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self.submission_options = dict()
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self.submission_arguments = dict()
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self.datasets = dict()
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dataset_sub.add_setmodel_callback(self.set_dataset_model)
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self.explist = dict()
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explist_sub.add_setmodel_callback(self.set_explist_model)
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self.schedule = dict()
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@ -570,6 +572,9 @@ class ExperimentManager:
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quick_open_shortcut.setContext(QtCore.Qt.ApplicationShortcut)
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quick_open_shortcut.activated.connect(self.show_quick_open)
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def set_dataset_model(self, model):
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self.datasets = model
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def set_explist_model(self, model):
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self.explist = model.backing_store
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@ -169,6 +169,7 @@ def main():
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# create UI components
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expmgr = experiments.ExperimentManager(main_window,
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sub_clients["datasets"],
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sub_clients["explist"],
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sub_clients["schedule"],
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rpc_clients["schedule"],
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