I am just learning OOP and PySide. I have created a code as below.
The application doesn't do anything much (it's a development project in learning stages).
import numpy as np
import sys
from qtpy.QtWidgets import (
QWidget,
QMainWindow,
QVBoxLayout,
QAction,
QMenu,
QLabel,
QApplication,
QMessageBox,
QDesktopWidget,
)
from qtpy.QtCore import Qt, Slot, QPoint, QObject
from qwt import (
QwtPlot,
QwtPlotMarker,
QwtPlotGrid,
QwtLegend,
QwtPlotCurve,
QwtLegendData,
)
class contexMenuHelper(QObject):
def __init__(self, plot, legend, legendItem):
super(contexMenuHelper, self).__init__()
self.plot = plot
self.legend = legend
self.legendItem = legendItem
#Slot(QPoint)
def contextMenuSlot(self, pos):
context = QMenu(self.legendItem)
context.addAction(QAction("Delete", self))
context.exec_(self.legendItem.mapToGlobal(pos))
class Plot(QwtPlot, QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.setAxisTitle(QwtPlot.xBottom, "X-axis")
self.setAxisTitle(QwtPlot.yLeft, "Y-axis")
self.setCanvasBackground(Qt.white)
self.setAxisScale(QwtPlot.yLeft, -2, 2)
QwtPlotGrid.make(self, color=Qt.lightGray, width=0, style=Qt.DotLine)
legend = QwtLegend()
legend.setDefaultItemMode(QwtLegendData.Checkable)
self.insertLegend(legend, QwtPlot.RightLegend)
x = np.arange(-5.0, 5.0, 0.1)
curves = []
curves.append(
QwtPlotCurve.make(
x, np.cos(x), "Cosinus", self, linecolor="red", antialiased=True
)
)
curves.append(
QwtPlotCurve.make(
x, np.sin(x), "Sinus", self, linecolor="blue", antialiased=True
)
)
self.helpers = dict()
for a in curves:
legend.legendWidget(a).setContextMenuPolicy(Qt.CustomContextMenu)
h = contexMenuHelper(self, legend, legend.legendWidget(a))
self.helpers[a] = h
legend.legendWidget(a).customContextMenuRequested.connect(h.contextMenuSlot)
QwtPlotMarker.make(
align=Qt.AlignRight | Qt.AlignTop,
linestyle=QwtPlotMarker.HLine,
color="black",
plot=self,
)
for keys, value in self.helpers.items():
print(keys)
print(value)
# insert a vertical marker at x = 0
QwtPlotMarker.make(
align=Qt.AlignRight | Qt.AlignTop,
linestyle=QwtPlotMarker.VLine,
color="black",
plot=self,
)
legend.checked.connect(self.showCurve)
self.replot()
#Slot(object, bool, int)
def showCurve(self, obj, condition, num):
obj.setVisible(not condition)
self.replot()
#Slot(object, bool, int)
def __del__(self, obj, condition):
print('Destructor called, vehicle deleted.')
class SimplePlot(QWidget):
def __init__(self, parent=None):
super().__init__(parent)
layout = QVBoxLayout()
self.setLayout(layout)
plot = Plot()
plot.setTitle("Trigonometric")
self.setWindowTitle("Trigonometric")
layout.addWidget(plot)
label = QLabel("Press the legend to en/disable a curve")
layout.addWidget(label)
self.center()
def center(self):
qr = self.frameGeometry()
cp = QDesktopWidget().availableGeometry().center()
qr.moveCenter(cp)
self.move(qr.topLeft())
def closeEvent(self, event):
reply = QMessageBox.question(
self,
"Message",
"Are you sure to quit?",
QMessageBox.Yes | QMessageBox.No,
QMessageBox.No,
)
if reply == QMessageBox.Yes:
event.accept()
else:
event.ignore()
if __name__ == "__main__":
app = QApplication(sys.argv)
window = SimplePlot()
window.show()
window.resize(800, 600)
sys.exit(app.exec_())
I made the active legend and the context menu:
I want to make it so that when I select "Delete" from the context menu, the corresponding function waveform in the graph and the corresponding object in the legend will be deleted.
I have implemented it as follows. Perhaps someone will find my thinking useful. It works correctly and as I expected although there is a tiny error in the operation itself .
Do you see what error I mean?
class contexMenuHelper(QObject):
def __init__(self, plot, legend, legendItem):
super(contexMenuHelper, self).__init__()
self.plot = plot
self.legend = legend
self.legendItem = legendItem
self.emlSel = QAction("Delete")
#Slot(QPoint)
def contextMenuSlot(self, pos):
context = QMenu(self.legendItem)
context.addAction(self.emlSel)
context.exec_(self.legendItem.mapToGlobal(pos))
self.emlSel.triggered.connect(self.destroy())
#Slot()
def destroy(self):
QwtPlotCurve.detach(self.legend)
class Plot(QwtPlot, QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.setAxisTitle(QwtPlot.xBottom, "X-axis")
self.setAxisTitle(QwtPlot.yLeft, "Y-axis")
self.setCanvasBackground(Qt.white)
self.setAxisScale(QwtPlot.yLeft, -2, 2)
QwtPlotGrid.make(self, color=Qt.lightGray, width=0, style=Qt.DotLine)
legend = QwtLegend()
legend.setDefaultItemMode(QwtLegendData.Checkable)
legend.resize(100,100)
self.insertLegend(legend, QwtPlot.RightLegend)
x = np.arange(-5.0, 5.0, 0.1)
curves = []
curves.append(
QwtPlotCurve.make(
x, np.cos(x), "Cosinus", self, linecolor="red", antialiased=True
)
)
curves.append(
QwtPlotCurve.make(
x, np.sin(x), "Sinus", self, linecolor="blue", antialiased=True
)
)
self.helpers = dict()
for a in curves:
legend.legendWidget(a).setContextMenuPolicy(Qt.CustomContextMenu)
h = contexMenuHelper(self, a, legend.legendWidget(a))
self.helpers[a] = h
legend.legendWidget(a).customContextMenuRequested.connect(h.contextMenuSlot)
QwtPlotMarker.make(
align=Qt.AlignRight | Qt.AlignTop,
linestyle=QwtPlotMarker.HLine,
color="black",
plot=self,
)
QwtPlotMarker.make(
align=Qt.AlignRight | Qt.AlignTop,
linestyle=QwtPlotMarker.VLine,
color="black",
plot=self,
)
legend.checked.connect(self.showCurve)
self.replot()
#Slot(object, bool, int)
def showCurve(self, obj, condition, num):
obj.setVisible(not condition)
self.replot()
class SimplePlot(QWidget):
def __init__(self, parent=None):
super().__init__(parent)
layout = QVBoxLayout()
self.setLayout(layout)
plot = Plot()
plot.setTitle("Trigonometric")
self.setWindowTitle("Trigonometric")
layout.addWidget(plot)
label = QLabel("Press the legend to en/disable a curve")
layout.addWidget(label)
self.center()
def center(self):
qr = self.frameGeometry()
cp = QDesktopWidget().availableGeometry().center()
qr.moveCenter(cp)
self.move(qr.topLeft())
def closeEvent(self, event):
reply = QMessageBox.question(
self,
"Message",
"Are you sure to quit?",
QMessageBox.Yes | QMessageBox.No,
QMessageBox.No,
)
if reply == QMessageBox.Yes:
event.accept()
else:
event.ignore()
if __name__ == "__main__":
app = QApplication(sys.argv)
window = SimplePlot()
window.show()
window.resize(850, 600)
sys.exit(app.exec_())
Related
I have a TreeView which is displaying items from an AbstractItemModel..
Now I wanted to add extra Filter functionality to my application, but somehow, the data is not visible in the TreeView (after calling newData()).
How does the interaction between the QAbstractItemModel and the QSortFilterProxyModel happens?
what should the QSortFilterProxyModel knows more the the setSource(QAbstractItemModel)
Here my code (copied from: https://stackoverflow.com/a/60910989/298487)
import logging
import sys
from PySide6 import QtCore, QtWidgets
from PySide6.QtCore import QSortFilterProxyModel
class DBObject:
def __init__(self, name, parent, children=None):
self.name = name
self.parent = parent
self.children = children or list()
def __repr__(self):
return f"name: {self.name}, parent: {self.parent.name if self.parent is not None else '-'}"
class Model(QtCore.QAbstractItemModel):
def __init__(self, parent=None):
super().__init__(parent)
self._root = DBObject("root", None)
def newData(self):
items = ["foo", "bar", "baz"]
for x in items:
child = DBObject(x + "0", self._root)
self._root.children.append(child)
for y in items:
child.children.append(DBObject(y + "1", child))
def columnCount(self, parent=QtCore.QModelIndex()):
return 1
def rowCount(self, parent=QtCore.QModelIndex()):
if not parent.isValid():
return 1
parentItem = parent.internalPointer()
rowCount = len(parentItem.children)
logging.info(f"rowCount({parentItem}): rowCount={rowCount}")
return rowCount
def parent(self, index):
if not index.isValid():
return QtCore.QModelIndex()
item = index.internalPointer()
parentItem = item.parent
logging.info(f"parent({item}): parent={parentItem}")
if parentItem is None:
return QtCore.QModelIndex()
else:
if parentItem.parent is None:
return self.createIndex(0, 0, parentItem)
else:
return self.createIndex(parentItem.parent.children.index(parentItem), 0, parentItem)
def index(self, row, column, parent=QtCore.QModelIndex()):
if not parent.isValid():
if row != 0 or column != 0:
return QtCore.QModelIndex()
else:
logging.info(f"index({row}, {column}, None): index={self._root}")
return self.createIndex(0, 0, self._root)
parentItem = parent.internalPointer()
if 0 <= row < len(parentItem.children):
logging.info(f"index({row}, {column}, {parentItem}): index={parentItem.children[row]}")
return self.createIndex(row, column, parentItem.children[row])
else:
logging.info(f"index({row}, {column}, {parentItem}): index=None")
return QtCore.QModelIndex()
def data(self, index, role=QtCore.Qt.ItemDataRole.DisplayRole):
if not index.isValid():
return None
item = index.internalPointer()
if role == QtCore.Qt.ItemDataRole.DisplayRole:
return item.name
else:
return None
def flags(self, index):
if not index.isValid():
return QtCore.Qt.ItemFlag.NoItemFlags
return (
QtCore.Qt.ItemFlag.ItemIsEnabled
| QtCore.Qt.ItemFlag.ItemIsSelectable)
class ProxyModel(QSortFilterProxyModel):
def __init__(self, parent=None):
super().__init__(parent)
self.setFilterKeyColumn(0)
self.setRecursiveFilteringEnabled(True)
class MainWindow(QtWidgets.QMainWindow):
def __init__(self):
super().__init__()
self.setMinimumSize(640, 480)
centralWidget = QtWidgets.QWidget(self)
self.setCentralWidget(centralWidget)
layout = QtWidgets.QVBoxLayout(centralWidget)
self._treeView = QtWidgets.QTreeView(self)
layout.addWidget(self._treeView)
self._model = Model()
self._proxyModel = ProxyModel()
self._proxyModel.setSourceModel(self._model)
# this line will not work
self._treeView.setModel(self._proxyModel)
# if i replace it with this line, it is working
# but the filtering will not work
self._treeView.setModel(self._model)
self._proxyModel.setFilterFixedString("bar1")
button = QtWidgets.QPushButton("Add")
layout.addWidget(button)
button.clicked.connect(self._Clicked)
def _Clicked(self):
self._model.newData()
self._treeView.expandAll()
def main():
app = QtWidgets.QApplication(sys.argv)
mainWindow = MainWindow()
mainWindow.show()
app.exec()
if __name__ == "__main__":
main()
'''
Does not appear the buttons inside recycleview
'''
class RV(RecycleView):
def __init__(self, **kwargs):
super(RV, self).__init__(**kwargs)
self.bx = RecycleBoxLayout(default_size=(None, dp(56)), default_size_hint=(1, None),
size_hint=(1, None), orientation='vertical',)
self.but = Button(text= 'hola')
self.bx.add_widget(self.but)
self.bx.bind(minimum_height=self.bx.setter("height"))
self.data = [{'text': str(x)} for x in range(100)]
class TestApp(App):
def build(self):
return RV()
if __name__ == '__main__':
TestApp().run()
The class RecycleView uses the attribute viewclass as data container, so you have to use self.viewclass = Button here.
def __init__(self, **kwargs):
super(RV, self).__init__(**kwargs)
self.bx = RecycleBoxLayout(
default_size=(None, dp(56)),
default_size_hint=(1, None),
size_hint=(1, None),
orientation='vertical',
)
self.bx.bind(minimum_height=self.bx.setter("height"))
self.add_widget(self.bx)
Clock.schedule_once(self.update_view)
def update_view(self, *args):
#Items that will be used as data-container.
self.viewclass = Button # Or, "Button"
self.data = [{'text': str(x)} for x in range(100)]
Also note that you've to schedule the data updation in order to get the view. Alternatively, you can define (almost) everything in kivy-lang without the need of scheduling. You can find an example in Kivy documentation.
I am trying to do learning rate decay challange of Building Your Own Federated Learning Algorithm tutorial. I have used the following code
import nest_asyncio
nest_asyncio.apply()
import collections
import attr
import functools
import numpy as np
import tensorflow as tf
import tensorflow_federated as tff
np.random.seed(0)
emnist_train, emnist_test = tff.simulation.datasets.emnist.load_data()
NUM_CLIENTS = 10
BATCH_SIZE = 20
initial_lr = 0.01
decay_rate = 0.0005
minimum_lr = initial_lr/2
def preprocess(dataset):
def batch_format_fn(element):
return(tf.reshape(element['pixels'],[-1,784]),
tf.reshape(element['label'],[-1,1]))
return dataset.batch(BATCH_SIZE).map(batch_format_fn)
client_ids = np.random.choice(emnist_train.client_ids,
size=NUM_CLIENTS, replace=False)
federated_train_data = [preprocess(emnist_train.create_tf_dataset_for_client(x))
for x in client_ids]
def create_keras_model():
return tf.keras.models.Sequential([
tf.keras.layers.InputLayer(input_shape=(784,)),
tf.keras.layers.Dense(10, kernel_initializer='zeros'),
tf.keras.layers.Softmax(),
])
def model_fn():
keras_model = create_keras_model()
return tff.learning.from_keras_model(
keras_model,
input_spec=federated_train_data[0].element_spec,
loss=tf.keras.losses.SparseCategoricalCrossentropy(),
metrics=[tf.keras.metrics.SparseCategoricalAccuracy()])
#tf.function
def client_update(model, dataset, server_weights, client_optimizer):
client_weights = model.trainable_variables
tf.nest.map_structure(lambda x,y: x.assign(y),
client_weights, server_weights)
for batch in dataset:
with tf.GradientTape() as tape:
outputs = model.forward_pass(batch)
grads = tape.gradient(outputs.loss, client_weights)
grads = tf.clip_by_global_norm(grads, 5.0)[0]
grads_and_vars = zip(grads, client_weights)
client_optimizer.apply_gradients(grads_and_vars)
return client_weights
#tf.function
def server_update(model, mean_client_weights):
model_weights = model.trainable_variables
tf.nest.map_structure(lambda x,y: x.assign(y),
model_weights, mean_client_weights)
return model_weights
#tff.tf_computation
def server_init():
model = model_fn()
return model.trainable_variables
#tff.federated_computation
def initialize_fn():
return [tff.federated_value(server_init(), tff.SERVER), tff.federated_value(initial_lr, tff.SERVER)]
#return tff.federated_value([server_init(),initial_lr], tff.SERVER)
whimsy_model = model_fn()
tf_dataset_type = tff.SequenceType(whimsy_model.input_spec)
str(tf_dataset_type)
model_weights_type = server_init.type_signature.result
str(model_weights_type)
#tff.tf_computation(tf_dataset_type, model_weights_type,tf.float32)
def client_update_fn(tf_dataset, server_weights, LR):
model = model_fn()
client_optimizer=tf.keras.optimizers.SGD(learning_rate=LR)
return client_update(model, tf_dataset, server_weights, client_optimizer)
#tff.tf_computation(model_weights_type)
def server_update_fn(mean_client_weights):
model = model_fn()
return server_update(model, mean_client_weights)
federated_server_type = tff.FederatedType(model_weights_type,
tff.SERVER)
federated_dataset_type = tff.FederatedType(tf_dataset_type,
tff.CLIENTS)
#federated_server_type_with_LR = tff.FederatedType([model_weights_type,tff.to_type((tf.float32))],tff.SERVER)
federated_server_type_with_LR = [tff.FederatedType(model_weights_type,tff.SERVER),
tff.FederatedType(tff.to_type((tf.float32)),tff.SERVER)]
#tf.function
def decay_lr(lr):
if lr-decay_rate > minimum_lr:
return lr-decay_rate
else:
return minimum_lr
#tff.tf_computation(tf.float32)
def decay_lr_fn(lr):
return decay_lr(lr)
#tff.federated_computation(federated_server_type_with_LR, federated_dataset_type)
def next_fn(server_weights_and_LR, federated_dataset):
server_weights = server_weights_and_LR[0]
#LR_SERVER = server_weights_and_LR[1]
#LR_CLIENTS = tff.federated_broadcast(server_weights_and_LR[1])
LR = server_weights_and_LR[1]
LR_NEW = tff.federated_map(decay_lr_fn, LR)
LR_NEW_CLIENTS = tff.federated_broadcast(LR_NEW)
# Broadcast the server weights to the clients
server_weights_at_client = tff.federated_broadcast(server_weights)
# Each client computes their updated weights
client_weights = tff.federated_map(
client_update_fn, (federated_dataset, server_weights_at_client, LR_NEW_CLIENTS))
# The server averages are updated
mean_client_weights = tff.federated_mean(client_weights)
# The surver update
server_weights = tff.federated_map(server_update_fn, mean_client_weights)
#return server_weights_and_LR
return [server_weights, LR_NEW]
federated_algorithm = tff.templates.IterativeProcess(
initialize_fn=initialize_fn,
next_fn=next_fn)
sorted_client_ids = sorted(emnist_test.client_ids)
sorted_client_ids2 = sorted_client_ids[0:100]
def data(client, source=emnist_test):
return preprocess(source.create_tf_dataset_for_client(client))
central_emnist_test = (tf.data.Dataset.from_tensor_slices(
[data(client) for client in sorted_client_ids2])).flat_map(lambda x: x)
def evaluate(server_state):
keras_model = create_keras_model()
keras_model.compile(
loss=tf.keras.losses.SparseCategoricalCrossentropy(),
metrics=[tf.keras.metrics.SparseCategoricalAccuracy()]
)
keras_model.set_weights(server_state)
keras_model.evaluate(central_emnist_test)
server_state = federated_algorithm.initialize()
evaluate(server_state[0])
for round in range(15):
print(round)
#server_state_temp = federated_algorithm.next(server_state, federated_train_data)
#server_state = [server_state_temp[0], decaying_lr(round)]
server_state = federated_algorithm.next(server_state, federated_train_data)
print(server_state[1])
evaluate(server_state[0])
This code works just fine, but I want to add the learning rate definition to server_init() function. So basically have the following
#tff.tf_computation
def server_init():
model = model_fn()
return [model.trainable_variables, initial_lr]
#tff.federated_computation
def initialize_fn():
return tff.federated_value(server_init(), tff.SERVER)
But doing so leads to following problem
The return type of `initialize_fn` must be assignable to the first input argument of `next_fn`, but:
`initialize_fn` returned type:
<<float32[784,10],float32[10]>,float32>#SERVER
and the first input argument of `next_fn` is:
<server_weights_and_LR=<<float32[784,10],float32[10]>#SERVER,float32#SERVER>,federated_dataset={<float32[?,784],int32[?,1]>*}#CLIENTS>
The problem is return [server_weights, LR_NEW] code at the end of next_fn() has <float32[784,10],float32[10]>#SERVER,float32#SERVER> type. Both server_weights and LR_NEW has already #SERVER placement. Currently
#tff.tf_computation
def server_init():
model = model_fn()
return model.trainable_variables
#tff.federated_computation
def initialize_fn():
return [tff.federated_value(server_init(), tff.SERVER), tff.federated_value(initial_lr, tff.SERVER)]
also returns <float32[784,10],float32[10]>#SERVER,float32#SERVER>
But as I said I want to change that part so to do that I want to remove the placements of server_weight and LR_NEW in next_fn and apply placement to the list containing both of those. How can I do that?
Also does anyone have a "cleaner" solution to that challenge?
EDIT:
I just want to clarify the input-output match for initialize/input and next is "cyclic". So we seek a match between output of initialize and input of next but also want one between output of next and input argument.
The first return argument of `next_fn` must be assignable to its first input argument, but found
`next_fn` which returns type:
<<float32[784,10],float32[10]>#SERVER,float32#SERVER>
which does not match its first input argument:
<<float32[784,10],float32[10]>,float32>#SERVER
The problem in your code is when manually creating federated_server_type_with_LR.
In the type system, <A#SERVER, B#SERVER> different from <A, B>#SERVER. You can convert the former to the latter by using tff.federated_zip(), which promotes the placement to the top-level.
Two solutions:
(1) Modify the decorator of next_fn to be #tff.federated_computation(tff.federated_zip(federated_server_type_with_LR), federated_dataset_type)
(2) [preferred, to avoid this kind of issue] Do not create the type manually, and read it from initialize_fn instead. The decorator would be #tff.federated_computation(initialize_fn.type_signature.result, federated_dataset_type)
I want to use FileChooser for basic operation. I select folder using FileChooser, I will remove it using own function. Folder is removed and I want to show new contents of disc but contents is incorrect How do I show current right contents of disc?
My question based from problem with next code. When I removed folder in root directory, contens of FileChooserListView was incorrect. Source of problem was in discname. Last symbol in disc name wasn't '**'. After added this ( function delete_dir() isn't problem.
Builder.load_string('''
<ConfirmPopup>:
cols:1
Label:
text: root.text
GridLayout:
cols: 2
size_hint_y: None
height: '44sp'
Button:
text: 'Yes'
on_release: root.dispatch('on_answer','yes')
Button:
text: 'No'
on_release: root.dispatch('on_answer', 'no')
''')
class ConfirmPopup(GridLayout):
text = StringProperty('')
def __init__(self,**kwargs):
self.register_event_type('on_answer')
super(ConfirmPopup,self).__init__(**kwargs)
def on_answer(self, *args):
pass
class PopupYesNo(GridLayout):
def __init__(self, save_as, task):
self.save_as = save_as
self.task = task
def show_widget(self, question):
self.content = ConfirmPopup(text= question)
self.content.bind(on_answer = self._on_answer)
self.popup = Popup(title="Answer Question",
content=self.content,
size_hint=(None, None),
size=(480,400),
auto_dismiss= False)
self.popup.open()
def _on_answer(self, instance, answer):
if answer == 'yes':
self.save_as.act_task()
self.popup.dismiss()
return
class SaveAs(BoxLayout):
def __init__(self, **kwargs):
super(SaveAs,self).__init__(**kwargs)
self.orientation = 'vertical'
self.fichoo = FileChooserListView(size_hint_y = 0.8)
self.add_widget(self.fichoo)
control = GridLayout(cols = 5, row_force_default=True, row_default_height=35, size_hint_y = 0.14)
self.tein_dir = TextInput(size_hint_x = None, width = 350)
self.tein_dir.multiline = False
bt_del_dir = Button(text = 'Remove',size_hint_x = None, width = 80)
bt_del_dir.bind(on_release = self.on_delete_dir)
control.add_widget(self.tein_dir)
control.add_widget(bt_del_dir)
self.fichoo.bind(path = self.on_path_select)
self.add_widget(control)
return
def on_path_select(self, inst, val):
self.tein_dir.text = str(self.fichoo.path)
return
def on_delete_dir(self, obj):
question = 'Do You want to remove: '+ self.tein_dir.text+ '?'
self.act_task = self.delete_dir
popup = PopupYesNo(self, SaveAs.delete_dir)
popup.show_widget(question)
return
def delete_dir(self):
pos = self.fichoo.path.rfind('\\', 0, len(self.fichoo.path))
new_path = str(self.fichoo.path)[0:pos]
if new_path[-1] == ':':
new_path += '\\' # last symbol in discname is '\'
self.tein_dir.text = new_path
os.chdir(new_path)
shutil.rmtree(str(self.fichoo.path))
self.fichoo.path = new_path
return
class ExplorerApp(App):
def build(self):
self.save_as = SaveAs()
return self.save_as
if __name__ == '__main__':
ExplorerApp().run()
I'm trying to get back into Python and I'm once again stuck with this problem I've had before of making objects accessible to one another. In this simple example I am displaying a panel with a button and a text box. Clicking on the text box calls a function which queries a database and returns a cursor with the retrieved data. I need to make it so that either the LookupSQL function or the ShowClientData function can write this output, in a loop, to the Text box. The TextBox (outputBox) is unknown to any other functions currently. How do I make it so that the other functions know what it is?
import wx
import pypyodbc
conn = pypyodbc.connect(driver='{SQL Server}', server='.', database='TheDB', uid='sa', pwd='Pass')
class Audit(wx.Frame):
def __init__(self, *args, **kwargs):
super(Example, self).__init__(*args, **kwargs)
self.InitUI()
def InitUI(self):
panel = wx.Panel(self)
hbox = wx.BoxSizer()
sizer = wx.GridSizer(6,1,2,2)
btn1 = wx.Button(panel, label='Clients')
outputBox = wx.TextCtrl(panel, -1, style = wx.TE_MULTILINE|wx.TE_READONLY|wx.HSCROLL)
sizer.AddMany([btn1, btn2, btn3, btn4, btn5, btn6])
hbox.Add(sizer, 0, wx.ALL, 15)
hbox.Add(outputBox, 1, wx.EXPAND)
panel.SetSizer(hbox)
btn1.Bind(wx.EVT_BUTTON, self.ShowClientData)
self.SetSize((800, 600))
self.SetTitle('Audit View')
self.Centre()
self.Show(True)
def ShowClientData(self, event):
SQL = 'select * from V_UpdatedClient'
recursor = lookupSQL(SQL)
for row in recursor:
rChange = row[0]
rItemType = row[1]
rPK = row[2]
rItemCode = row[3]
rFieldName = row[4]
rOldValue = row[5]
rNewValue = row[6]
rUpdateDate = row[7]
rUserName = row[8]
print('%s %s %s %s %s %s %s %s %s' % (rChange, rItemType, rPK, rItemCode, rFieldName, rOldValue, rNewValue, rUpdateDate, rUserName))
def lookupSQL(SQLString):
cursor = conn.cursor()
cursor.execute(SQLString)
return cursor
cursor.close()
def main():
ex = wx.App()
Audit(None)
ex.MainLoop()
if __name__ == '__main__':
main()
What you are looking for is called data attributes.
self.outputBox = wx.TextCtrl(panel, -1, style = wx.TE_MULTILINE|wx.TE_READONLY|wx.HSCROLL)
And then within ShowClientData you can write
self.outputBox.AppendText("some text")
As long as you have that self reference, you can access its attributes.
Edit:
When you do the above change, you can't refer to the text box by just outputBox anymore, you should instead access it via self:
hbox.Add(self.outputBox, 1, wx.EXPAND)
Declaring it as globally is very bad!