"""
This example demonstrates the use of pyqtgraph's parametertree system. This provides
a simple way to generate user interfaces that control sets of parameters. The example
demonstrates a variety of different parameter types (int, float, list, etc.)
as well as some customized parameter types

"""
import initExample ## Add path to library (just for examples; you do not need this)

import pyqtgraph as pg
# `makeAllParamTypes` creates several parameters from a dictionary of config specs.
# This contains information about the options for each parameter so they can be directly
# inserted into the example parameter tree. To create your own parameters, simply follow
# the guidelines demonstrated by other parameters created here.
from examples._buildParamTypes import makeAllParamTypes
from pyqtgraph.Qt import QtGui


app = pg.mkQApp("Parameter Tree Example")
import pyqtgraph.parametertree.parameterTypes as pTypes
from pyqtgraph.parametertree import Parameter, ParameterTree


## test subclassing parameters
## This parameter automatically generates two child parameters which are always reciprocals of each other
class ComplexParameter(pTypes.GroupParameter):
    def __init__(self, **opts):
        opts['type'] = 'bool'
        opts['value'] = True
        pTypes.GroupParameter.__init__(self, **opts)
        
        self.addChild({'name': 'A = 1/B', 'type': 'float', 'value': 7, 'suffix': 'Hz', 'siPrefix': True})
        self.addChild({'name': 'B = 1/A', 'type': 'float', 'value': 1/7., 'suffix': 's', 'siPrefix': True})
        self.a = self.param('A = 1/B')
        self.b = self.param('B = 1/A')
        self.a.sigValueChanged.connect(self.aChanged)
        self.b.sigValueChanged.connect(self.bChanged)
        
    def aChanged(self):
        self.b.setValue(1.0 / self.a.value(), blockSignal=self.bChanged)

    def bChanged(self):
        self.a.setValue(1.0 / self.b.value(), blockSignal=self.aChanged)


## test add/remove
## this group includes a menu allowing the user to add new parameters into its child list
class ScalableGroup(pTypes.GroupParameter):
    def __init__(self, **opts):
        opts['type'] = 'group'
        opts['addText'] = "Add"
        opts['addList'] = ['str', 'float', 'int']
        pTypes.GroupParameter.__init__(self, **opts)
    
    def addNew(self, typ):
        val = {
            'str': '',
            'float': 0.0,
            'int': 0
        }[typ]
        self.addChild(dict(name="ScalableParam %d" % (len(self.childs)+1), type=typ, value=val, removable=True, renamable=True))




params = [
    makeAllParamTypes(),
    {'name': 'Save/Restore functionality', 'type': 'group', 'children': [
        {'name': 'Save State', 'type': 'action'},
        {'name': 'Restore State', 'type': 'action', 'children': [
            {'name': 'Add missing items', 'type': 'bool', 'value': True},
            {'name': 'Remove extra items', 'type': 'bool', 'value': True},
        ]},
    ]},
    {'name': 'Custom context menu', 'type': 'group', 'children': [
        {'name': 'List contextMenu', 'type': 'float', 'value': 0, 'context': [
            'menu1',
            'menu2'
        ]},
        {'name': 'Dict contextMenu', 'type': 'float', 'value': 0, 'context': {
            'changeName': 'Title',
            'internal': 'What the user sees',
        }},
    ]},
    ComplexParameter(name='Custom parameter group (reciprocal values)'),
    ScalableGroup(name="Expandable Parameter Group", tip='Click to add children', children=[
        {'name': 'ScalableParam 1', 'type': 'str', 'value': "default param 1"},
        {'name': 'ScalableParam 2', 'type': 'str', 'value': "default param 2"},
    ]),
]

## Create tree of Parameter objects
p = Parameter.create(name='params', type='group', children=params)

## If anything changes in the tree, print a message
def change(param, changes):
    print("tree changes:")
    for param, change, data in changes:
        path = p.childPath(param)
        if path is not None:
            childName = '.'.join(path)
        else:
            childName = param.name()
        print('  parameter: %s'% childName)
        print('  change:    %s'% change)
        print('  data:      %s'% str(data))
        print('  ----------')
    
p.sigTreeStateChanged.connect(change)


def valueChanging(param, value):
    print("Value changing (not finalized): %s %s" % (param, value))
    
# Too lazy for recursion:
for child in p.children():
    child.sigValueChanging.connect(valueChanging)
    for ch2 in child.children():
        ch2.sigValueChanging.connect(valueChanging)
        

def save():
    global state
    state = p.saveState()

def restore():
    global state
    add = p['Save/Restore functionality', 'Restore State', 'Add missing items']
    rem = p['Save/Restore functionality', 'Restore State', 'Remove extra items']
    p.restoreState(state, addChildren=add, removeChildren=rem)
p.param('Save/Restore functionality', 'Save State').sigActivated.connect(save)
p.param('Save/Restore functionality', 'Restore State').sigActivated.connect(restore)


## Create two ParameterTree widgets, both accessing the same data
t = ParameterTree()
t.setParameters(p, showTop=False)
t.setWindowTitle('pyqtgraph example: Parameter Tree')
t2 = ParameterTree()
t2.setParameters(p, showTop=False)

win = QtGui.QWidget()
layout = QtGui.QGridLayout()
win.setLayout(layout)
layout.addWidget(QtGui.QLabel("These are two views of the same data. They should always display the same values."), 0,  0, 1, 2)
layout.addWidget(t, 1, 0, 1, 1)
layout.addWidget(t2, 1, 1, 1, 1)
win.show()

## test save/restore
state = p.saveState()
p.restoreState(state)
compareState = p.saveState()
assert pg.eq(compareState, state)

if __name__ == '__main__':
    pg.exec()