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STDF_Reader_GUI.py
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# -*- coding:utf-8 -*-
###################################################
# STDF Reader Tool #
# Version: Beta 0.8 #
# #
# Sep. 18, 2019 #
# A light STDF reader and analysis tool #
# A project forked from Thomas Kaunzinger #
# #
# References: #
# PySTDF Library #
# PyQt5 #
# numpy #
# matplotlib #
# countrymarmot (cp + cpk) #
# PyPDF #
# ZetCode + sentdex (PyQt tutorials) #
# My crying soul because there's no documentation #
###################################################
###################################################
#######################
# IMPORTING LIBRARIES #
#######################
# import fix_qt_import_error
# from PyQt5.QtWidgets import QWidget, QDesktopWidget, QApplication, QToolTip, QPushButton
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from pystdf.Writers import *
from abc import ABC
import numpy as np
import pandas as pd
import time, datetime, logging, re, csv
import xlsxwriter
import qtawesome as qta
import os
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# from numba import jit
from src.Backend import Backend
from src.FileRead import FileReaders
from src.Threads import PdfWriterThread, CsvParseThread, XlsxParseThread, DiagParseThread, SingleRecParseThread
from llm.chat import ChatBot
Version = 'Beta 0.8.24'
###################################################
########################
# QT GUI FUNCTIONALITY #
########################
# These are the functions for the QMainWindow/widget application objects that run the whole interface
class Application(QMainWindow): # QWidget):
# Construct me
def __init__(self):
super().__init__()
# Have to read the imported .txt file but I'm not totally sure how
self.data = None
self.number_of_sites = None
self.list_of_test_numbers = []
self.list_of_test_numbers_string = []
self.tnumber_list = []
self.tname_list = []
self.test_info_list = []
self.df_csvs = []
self.df_csv = pd.DataFrame()
self.sdr_parse = []
self.list_of_duplicate_test_numbers = []
self.s2s_correlation_report_df = pd.DataFrame()
# exitAct = QAction(QIcon('exit.png'), '&Exit', self)
# exitAct.setShortcut('Ctrl+Q')
# exitAct.triggered.connect(qApp.quit)
# aboutAct = QAction(QIcon('about.png'), '&About', self)
# aboutAct.triggered.connect(self.aboutecho)
#
# menubar = self.menuBar()
# fileMenu = menubar.addMenu('&File')
# helpMenu = menubar.addMenu('&Help')
# fileMenu.addAction(exitAct)
# helpMenu.addAction(aboutAct)
# Set icon for window, the img path should be full absolute path for compiling
self.pix = QPixmap(pathname + r'\img\icon.ico')
icon = QIcon()
icon.addPixmap(self.pix, QIcon.Normal, QIcon.Off)
self.setWindowIcon(icon)
# Set the window title
self.window_title = QLabel()
self.window_title.setText('STDF Reader For AP ' + Version)
self.window_title.setFont(QFont("Times", 14, weight=QFont.Bold))
self.window_title_img = QLabel()
self.window_title_img.setPixmap(self.pix)
# self.window_title_img.setGeometry(0, 100, 3, 3)
self.window_title_img.setScaledContents(True)
self.window_title_img.setMaximumHeight(20)
self.window_title_img.setMaximumWidth(20)
# lb1 = QLabel(self)
# lb1.setGeometry(0, 250, 300, 200)
# lb1.setPixmap(pix)
# lb1.setStyleSheet("border: 2px solid red")
# lb1.setScaledContents(True)
self.button_close = QPushButton(qta.icon('mdi.window-close'), '')
self.button_about = QPushButton(qta.icon('mdi.window-maximize'), '')
self.button_mini = QPushButton(qta.icon('mdi.window-minimize'), '')
self.button_close.clicked.connect(self.close)
self.button_about.clicked.connect(self.aboutecho)
self.button_mini.clicked.connect(self.showMinimized)
self.status_text = QLabel()
self.status_text.setText('Welcome!')
self.status_text.setFont(QFont("Times", 12, weight=QFont.Bold))
self.step_1 = QGroupBox('Step 1: Convert to CSV')
self.step_2 = QGroupBox('Step 2: Upload CSV for Analysis')
# self.step_2.setTitle('Step 2: Upload CSV for Analysis')
# Button to parse to .csv
self.stdf_upload_button = QPushButton(qta.icon('fa5s.file-csv', color='green', color_active='black'),
'Parse STD/STDF to .csv log')
self.stdf_upload_button.setToolTip(
'Browse for stdf to create .csv file. This is helpful when doing data analysis')
self.stdf_upload_button.clicked.connect(self.open_parsing_dialog_csv)
# Button to upload the .txt file to work with
self.txt_upload_button = QPushButton(qta.icon('fa5s.file-upload', color='blue', color_active='black'),
'Upload parsed .csv file')
self.txt_upload_button.setToolTip(
'Browse for the .csv file containing the parsed STDF data')
self.txt_upload_button.clicked.connect(self.open_text)
# Generates a summary of the loaded text
self.generate_summary_button = QPushButton(qta.icon('mdi.google-analytics', color='blue', color_active='black'),
'Generate data analysis report')
self.generate_summary_button.setToolTip(
'Generate a .xlsx data analysis report for the uploaded parsed .csv')
self.generate_summary_button.clicked.connect(self.generate_analysis_report)
# Selects a test result for the desired
self.select_test_menu = ComboCheckBox() # ComboCheckBox() # QComboBox()
self.select_test_menu.setToolTip(
'Select the tests to produce the PDF results for')
# Button to generate the test results for the desired tests from the selected menu
self.generate_pdf_button = QPushButton(qta.icon('fa5s.file-pdf', color='red', color_active='black'),
'Generate .pdf from selected tests')
self.generate_pdf_button.setToolTip(
'Generate a .pdf file with the selected tests from the parsed .txt')
self.generate_pdf_button.clicked.connect(self.plot_list_of_tests)
self.limit_toggle = QCheckBox('Plot against failure limits', self)
self.limit_toggle.setChecked(True)
self.limit_toggle.stateChanged.connect(self.toggler)
self.limits_toggled = True
self.group_toggle = QCheckBox('Plot tendency by file', self)
self.group_toggle.setChecked(False)
self.group_toggle.stateChanged.connect(self.group_by_file)
self.group_toggled = False
self.plot_tests_button = QPushButton(qta.icon('mdi.trending-up', color='red', color_active='orange'),
'Plot Selected Tests')
self.plot_tests_button.setToolTip('Plot Selected Tests\' Trendency')
self.plot_tests_button.clicked.connect(self.plot_list_of_tests_on_one_figure)
# Generates a correlation report for all sites of the loaded data
self.generate_correlation_button = QPushButton(
qta.icon('mdi.file-compare', color='black', color_active='black'),
'Generate correlation report of multiple stdf files')
self.generate_correlation_button.setToolTip(
'Generate a .xlsx correlation report of 2 stdf files for the uploaded parsed .csv')
self.generate_correlation_button.clicked.connect(self.generate_correlation_report)
# toggle for enable cherry pick of site data
self.cherry_pick_toggle = QCheckBox('Enable Cherry-Pick', self)
self.cherry_pick_toggle.setChecked(False)
self.cherry_pick_toggle.stateChanged.connect(self.enable_cherry_pick_flag)
self.cherry_pick_toggled = False
# Input the selected site list, split by comma
self.selected_site_line_edit = QLineEdit()
self.selected_site_line_edit.setText("Input selected site list here")
self.selected_site_line_edit.setToolTip("Input the selected site list for each file, split by comma, one site per file")
# toggle for enable analyse log with setting "Ignore Test Number"
self.ignore_TNUM_toggle = QCheckBox('Ignore Test Number', self)
self.ignore_TNUM_toggle.setChecked(False)
self.ignore_TNUM_toggle.stateChanged.connect(self.enable_ignore_tnum_flag)
self.ignore_TNUM_toggled = False
# toggle for enable analyse log with setting "Ignore Test Number"
self.ignore_chnum_toggle = QCheckBox('Ignore Channel Number', self)
self.ignore_chnum_toggle.setChecked(False)
self.ignore_chnum_toggle.stateChanged.connect(self.enable_ignore_chnum_flag)
self.ignore_chnum_toggled = False
# toggle for enable analyse log with setting "output converted csv as one file"
self.output_one_file_toggle = QCheckBox('Output as one file', self)
self.output_one_file_toggle.setChecked(True)
self.output_one_file_toggle.stateChanged.connect(self.enable_output_one_file_flag)
self.output_one_file_toggled = True
# Generates a correlation report for site2site compare
self.generate_correlation_button_s2s = QPushButton(
qta.icon('mdi.sitemap', color='yellow', color_active='black'),
'Generate correlation of Site2Site')
self.generate_correlation_button_s2s.setToolTip(
'Generate an Site2Site correlation report')
self.generate_correlation_button_s2s.clicked.connect(self.generate_s2s_correlation_report)
# Selects a test result for s2s correlation
self.select_s2s_test_menu = ComboCheckBox() # ComboCheckBox() # QComboBox()
self.select_s2s_test_menu.setToolTip(
'Select the tests to produce the heatmap results for site-to-site correlation')
# Button to generate the s2s test results for the desired tests from the selected s2s menu
self.generate_heatmap_button = QPushButton(
qta.icon('mdi.chart-scatter-plot', color='orange', color_active='black'),
'Generate heatmap from selected Site2Site tests')
self.generate_heatmap_button.setToolTip(
'Generate a heatmap with the selected s2s tests from the parsed .csv')
self.generate_heatmap_button.clicked.connect(
lambda: self.make_s2s_correlation_heatmap(self.s2s_correlation_report_df))
# Button to parse to atdf .xlsx
self.stdf_upload_button_xlsx = QPushButton(qta.icon('fa5s.file-excel', color='green', color_active='black'),
'Parse STD/STDF to .xlsx table')
self.stdf_upload_button_xlsx.setToolTip(
'Browse for a file ending in .std to create a parsed .xlsx file')
self.stdf_upload_button_xlsx.clicked.connect(self.open_parsing_dialog_xlsx)
# Selects STDF record to extract
self.select_stdf_rec_menu = QComboBox()
self.select_stdf_rec_menu.setToolTip('Select the single record to extract')
self.select_stdf_rec_menu.addItems(['DTR', 'GDR', 'TSR'])
self.rec_name = 'DTR'
self.select_stdf_rec_menu.currentIndexChanged[str].connect(self.get_rec_name) # 条目发生改变，发射信号，传递条目内容
#self.select_stdf_rec_menu.highlighted[str].connect(self.get_rec_name) # 在下拉列表中，鼠标移动到某个条目时发出信号，传递条目内容
# Button to parse a single record type to atdf .csv
self.stdf_upload_button_single_rec = QPushButton(qta.icon('mdi.selection-search', color='green', color_active='black'),
'Parse STD/STDF to .csv table')
self.stdf_upload_button_single_rec.setToolTip(
'Browse for a file ending in .std to create a parsed .csv file')
self.stdf_upload_button_single_rec.clicked.connect(self.open_parsing_single_rec)
# Selects tests for extracting sub-CSV
self.select_test_for_subcsv_menu = ComboCheckBox()
self.select_test_for_subcsv_menu.setToolTip('Select the tests to produce the sub-CSV for analysis')
# Extract a sub-CSV log
self.extract_subcsv = QPushButton(qta.icon('fa5s.file-csv', color='green', color_active='black'),
'Extract a sub-CSV log for chosen tests')
self.extract_subcsv.setToolTip('Extract a sub-CSV log for chosen tests')
self.extract_subcsv.clicked.connect(self.make_subcsv_for_chosen_tests)
# Convert STR/PSR to ASCII log
self.convert_SDTFV42007_to_ASCII = QPushButton(qta.icon('fa5s.file-csv', color='green', color_active='black'),
'Convert Diagnosis STDFV4-2007.1 to ASCII log')
self.convert_SDTFV42007_to_ASCII.setToolTip('Convert STR/PSR to Mentor like ASCII log')
self.convert_SDTFV42007_to_ASCII.clicked.connect(self.open_parsing_diagnosis_ascii)
# input text edit for LLM Chat
self.llm_prompt_edit = QPlainTextEdit()
self.llm_prompt_edit.setPlaceholderText("Input Your Instruction Here To Let AI Coding For You To Analyse Data.") #.setPlainText("Input Your Instruction Here")
self.llm_btn = QPushButton(qta.icon('mdi6.brain', color='green', color_active='black'), 'Go~')
self.llm_btn.setToolTip('Give order to AI')
self.llm_btn.clicked.connect(self.llm_chat)
# self.llm_prompt_edit.setMaximumHeight(self.llm_btn.height() * 1)
self.llm_prompt_edit.setFixedHeight(50) #.resize(100,100)
# Transpose CSV log
self.transpose_csv_btn = QPushButton(qta.icon('mdi6.table-column-width', color='green', color_active='black'),
'Convert table rows to columns')
self.transpose_csv_btn.setToolTip('Convert table rows to columns')
self.transpose_csv_btn.clicked.connect(self.make_csv_transpose)
self.progress_bar = QProgressBar()
self.WINDOW_SIZE = (750, 350)
self.file_path = None
self.text_file_location = self.file_path
self.setFixedSize(self.WINDOW_SIZE[0], self.WINDOW_SIZE[1]) #.setBaseSize(self.WINDOW_SIZE[0], self.WINDOW_SIZE[1])
self.center()
self.setWindowTitle('STDF Reader For AP ' + Version)
self.selected_tests = []
self.file_selected = False
self.threaded_task = PdfWriterThread(file_path=self.file_path, all_data=self.df_csv,
ptr_data=self.test_info_list, number_of_sites=self.number_of_sites,
selected_tests=self.selected_tests, limits_toggled=self.limits_toggled,
list_of_test_numbers=self.list_of_test_numbers, site_list=self.sdr_parse,
group_by_file=self.group_toggled)
self.threaded_task.notify_progress_bar.connect(self.on_progress)
self.threaded_task.notify_status_text.connect(self.on_update_text)
self.threaded_csv_parser = CsvParseThread(file_path=self.file_path)
self.threaded_csv_parser.notify_status_text.connect(
self.on_update_text)
self.threaded_xlsx_parser = XlsxParseThread(file_path=self.file_path)
self.threaded_xlsx_parser.notify_status_text.connect(self.on_update_text)
self.threaded_single_rec_parser = SingleRecParseThread(self.file_path, self.rec_name)
self.threaded_single_rec_parser.notify_status_text.connect(self.on_update_text)
self.threaded_diagnosis_parser = DiagParseThread(file_path=self.file_path)
self.threaded_diagnosis_parser.notify_status_text.connect(self.on_update_text)
self.generate_pdf_button.setEnabled(False)
self.select_test_menu.setEnabled(False)
self.generate_summary_button.setEnabled(False)
self.limit_toggle.setEnabled(False)
self.group_toggle.setEnabled(False)
self.plot_tests_button.setEnabled(False)
self.generate_correlation_button.setEnabled(False)
self.generate_correlation_button_s2s.setEnabled(False)
self.select_s2s_test_menu.setEnabled(False)
self.generate_heatmap_button.setEnabled(False)
self.select_test_for_subcsv_menu.setEnabled(False)
self.extract_subcsv.setEnabled(False)
self.selected_site_line_edit.setEnabled(False)
self.llm_prompt_edit.setEnabled(False)
self.llm_btn.setEnabled(False)
self.main_window()
# Tab for data analysis
def tab_data_analysis(self):
layout = QGridLayout()
layout.addWidget(self.generate_summary_button, 0, 0, 1, 4)
layout.addWidget(self.select_test_menu, 1, 0, 1, 4)
layout.addWidget(self.generate_pdf_button, 2, 0)
layout.addWidget(self.limit_toggle, 2, 1)
layout.addWidget(self.group_toggle, 2, 2)
layout.addWidget(self.plot_tests_button, 2, 3)
self.data_analysis_tab.setLayout(layout)
# Tab for data correlation
def tab_data_correlation(self):
layout = QGridLayout()
layout.addWidget(self.generate_correlation_button, 0, 0)
layout.addWidget(self.generate_correlation_button_s2s, 0, 1)
layout.addWidget(self.select_s2s_test_menu, 1, 0, 1, 2)
layout.addWidget(self.generate_heatmap_button, 2, 0)
self.correlation_tab.setLayout(layout)
# Tab for ATDF
def tab_atdf(self):
layout = QGridLayout()
layout.addWidget(self.stdf_upload_button_xlsx, 0, 0)
layout.addWidget(self.convert_SDTFV42007_to_ASCII, 0, 1)
# layout.addWidget(self.select_test_for_subcsv_menu, 1, 0, 1, 2)
# layout.addWidget(self.extract_subcsv, 2, 0)
layout.addWidget(self.select_stdf_rec_menu, 1, 0, 1, 1)
layout.addWidget(self.stdf_upload_button_single_rec, 1, 1, 1, 1)
self.to_atdf_tab.setLayout(layout)
# Tab for tools
def tab_tools(self):
layout = QGridLayout()
layout.addWidget(self.llm_prompt_edit, 0, 0)
layout.addWidget(self.llm_btn, 0, 1)
layout.addWidget(self.select_test_for_subcsv_menu, 1, 0)
layout.addWidget(self.extract_subcsv, 2, 0)
layout.addWidget(self.transpose_csv_btn, 2, 1)
self.tools_tab.setLayout(layout)
# Main interface method
def main_window(self):
# self.setGeometry(300, 300, 300, 200)
# self.resize(900, 700)
self.setFixedSize(self.WINDOW_SIZE[0], self.WINDOW_SIZE[1])
self.setWindowTitle('STDF Reader For AP ' + Version)
# Layout
layout = QGridLayout()
self.setLayout(layout)
# Adds the widgets together in the grid
# self.window_title.setAlignment(Qt.AlignCenter)
# self.window_title_img.setAlignment(Qt.AlignCenter)
layout.addWidget(self.window_title_img, 0, 11, 1, 1)
layout.addWidget(self.window_title, 0, 12, 1, 10)
layout.addWidget(self.button_mini, 0, 29, 1, 1)
layout.addWidget(self.button_about, 0, 30, 1, 1)
layout.addWidget(self.button_close, 0, 31, 1, 1)
layout.addWidget(self.status_text, 1, 0, 1, 32)
# layout.addWidget(self.stdf_upload_button_xlsx, 2, 0, 1, 16)
# layout.addWidget(self.test_frame, 2, 0, 2, 16)
# vbox = QVBoxLayout()
# vbox.addWidget(self.stdf_upload_button)
# vbox.addWidget(self.cherry_pick_toggle)
# vbox.addWidget(self.selected_site_line_edit)
# self.step_1.setLayout(vbox)
# layout.addWidget(self.step_1, 2, 0, 4, 16)
vbox = QGridLayout()
vbox.addWidget(self.ignore_TNUM_toggle, 2, 0, 1, 3)
vbox.addWidget(self.ignore_chnum_toggle, 2, 4, 1, 4)
vbox.addWidget(self.output_one_file_toggle, 2, 8, 1, 8)
vbox.addWidget(self.stdf_upload_button,3,0,1,16)
# vbox.addWidget(self.cherry_pick_toggle,3,0,1,8)
# vbox.addWidget(self.selected_site_line_edit,3,8,1,8)
self.step_1.setLayout(vbox)
layout.addWidget(self.step_1, 2, 0, 3, 16)
# layout.addWidget(self.stdf_upload_button, 3, 3, 1, 12)
vbox2 = QGridLayout()
vbox2.addWidget(self.cherry_pick_toggle, 2, 0, 1, 7)
vbox2.addWidget(self.selected_site_line_edit, 2, 8, 1, 8)
vbox2.addWidget(self.txt_upload_button,3,0,1,16)
self.step_2.setLayout(vbox2)
layout.addWidget(self.step_2, 2, 16, 3, 16)
# layout.addWidget(self.txt_upload_button, 3, 18, 1, 12)
tabs = QTabWidget(self)
self.data_analysis_tab = QWidget()
self.correlation_tab = QWidget()
self.to_atdf_tab = QWidget()
self.tools_tab = QWidget()
self.tab_data_analysis()
self.tab_data_correlation()
self.tab_atdf()
self.tab_tools()
tabs.addTab(self.data_analysis_tab, 'Data Analysis')
tabs.addTab(self.correlation_tab, 'Data Correlation')
tabs.addTab(self.to_atdf_tab, 'To ATDF')
tabs.addTab(self.tools_tab, 'Some Tools')
layout.addWidget(tabs, 6, 0, 4, 32)
layout.addWidget(self.progress_bar, 11, 0, 1, 32)
# Create an QWidget, and use layout_grid
widget = QWidget()
widget.setLayout(layout)
# Set 'widget' as central widget
self.setCentralWidget(widget)
self.button_close.setStyleSheet(
'''QPushButton{background:#F76677;border-radius:5px;}QPushButton:hover{background:red;}''')
self.button_about.setStyleSheet(
'''QPushButton{background:#F7D674;border-radius:5px;}QPushButton:hover{background:yellow;}''')
self.button_mini.setStyleSheet(
'''QPushButton{background:#6DDF6D;border-radius:5px;}QPushButton:hover{background:green;}''')
self.setWindowOpacity(0.95) # 设置窗口透明度
self.setWindowFlag(Qt.FramelessWindowHint) # 隐藏边框
pe = QPalette()
self.setAutoFillBackground(True)
# pe.setColor(QPalette.Window, Qt.lightGray) # 设置背景色
pe.setColor(QPalette.Background, Qt.lightGray)
self.setPalette(pe)
# Window settings
self.show()
def aboutecho(self):
QMessageBox.information(
self, 'About', 'Author：Chao Zhou \n verion ' + Version + ' \n 感谢您的使用！ \n zhouchao486@gmail.com ',
QMessageBox.Ok)
# Centers the window
def center(self):
window = self.frameGeometry()
center_point = QDesktopWidget().availableGeometry().center()
window.moveCenter(center_point)
self.move(window.topLeft())
# 重写三个方法使我们的Example窗口支持拖动,上面参数window就是拖动对象
def mousePressEvent(self, event):
if event.button() == Qt.LeftButton:
self.m_drag = True
self.m_DragPosition = event.globalPos() - self.pos()
event.accept()
self.setCursor(QCursor(Qt.OpenHandCursor))
def mouseMoveEvent(self, QMouseEvent):
if Qt.LeftButton and self.m_drag:
self.move(QMouseEvent.globalPos() - self.m_DragPosition)
QMouseEvent.accept()
def mouseReleaseEvent(self, QMouseEvent):
self.m_drag = False
self.setCursor(QCursor(Qt.ArrowCursor))
# Opens and reads a file to parse the data
def open_parsing_dialog(self):
self.status_text.setText('Parsing to .txt, please wait...')
filterboi = 'STDF (*.stdf *.std)'
filepath = QFileDialog.getOpenFileName(
caption='Open STDF File', filter=filterboi)
if filepath[0] == '':
self.status_text.setText('Please select a file')
pass
else:
self.status_text.update()
FileReaders.process_file(filepath[0])
self.status_text.setText(
str(filepath[0].split('/')[-1] + '_parsed.txt created!'))
# Opens and reads a file to parse the data to an csv
def open_parsing_dialog_csv(self):
# I can not figure out the process when parsing STDF, so...
self.progress_bar.setMinimum(0)
# Move QFileDialog out of QThread, in case of error under win 7
self.status_text.setText('Parsing to .csv file, please wait...')
filterboi = 'STDF (*.stdf *.std);;GZ (*.stdf.gz *.std.gz)'
# the native file-dialog automatically sorts the selected files (which may not be the case on all platforms).
# However, Qt's built-in file-dialog doesn't have this behaviour
filepath = QFileDialog.getOpenFileNames(
caption='Open STDF or GZ File', filter=filterboi, options=QFileDialog.DontUseNativeDialog)
self.status_text.update()
self.stdf_upload_button.setEnabled(False)
# self.progress_bar.setMaximum(0)
# # process specified site list
# site_list = []
# text = self.selected_site_line_edit.text()
# if self.cherry_pick_toggled and text != "Input selected site list here":
# site_list = text.replace('-',' ').replace(';',' ').replace(',',' ').split()
self.threaded_csv_parser = CsvParseThread(filepath, self.ignore_TNUM_toggled, self.output_one_file_toggled, self.ignore_chnum_toggled)
self.threaded_csv_parser.notify_progress_bar.connect(self.on_progress)
self.threaded_csv_parser.notify_status_text.connect(self.on_update_text)
self.threaded_csv_parser.finished.connect(self.set_progress_bar_max)
self.threaded_csv_parser.start()
self.stdf_upload_button.setEnabled(True)
# self.main_window()
# Opens and reads a file to parse the data to an xlsx
def open_parsing_dialog_xlsx(self):
self.progress_bar.setMinimum(0)
self.status_text.setText('Parsing to .xlsx file, please wait...')
filterboi = 'STDF (*.stdf *.std)'
filepath = QFileDialog.getOpenFileName(
caption='Open STDF File', filter=filterboi)
self.status_text.update()
self.stdf_upload_button_xlsx.setEnabled(False)
self.progress_bar.setMaximum(0)
self.threaded_xlsx_parser = XlsxParseThread(filepath[0])
self.threaded_xlsx_parser.notify_status_text.connect(self.on_update_text)
self.threaded_xlsx_parser.finished.connect(self.set_progress_bar_max)
self.threaded_xlsx_parser.start()
self.stdf_upload_button_xlsx.setEnabled(True)
def open_parsing_single_rec(self):
self.progress_bar.setMinimum(0)
self.status_text.setText('Parsing to .csv file, please wait...')
filterboi = 'STDF (*.stdf *.std)'
filepath = QFileDialog.getOpenFileName(
caption='Open STDF File', filter=filterboi)
rec_name = self.rec_name
self.status_text.update()
self.stdf_upload_button_single_rec.setEnabled(False)
self.progress_bar.setMaximum(0)
self.threaded_single_rec_parser = SingleRecParseThread(filepath[0], rec_name)
self.threaded_single_rec_parser.notify_status_text.connect(self.on_update_text)
self.threaded_single_rec_parser.finished.connect(self.set_progress_bar_max)
self.threaded_single_rec_parser.start()
self.stdf_upload_button_single_rec.setEnabled(True)
# self.main_window()
# Convert STDF V4 2007.1 to Mentor like log
def open_parsing_diagnosis_ascii(self):
self.progress_bar.setMinimum(0)
self.status_text.setText('Parsing Diagnosis file to .csv, please wait...')
filterboi = 'STDF (*.stdf *.std);;GZ (*.stdf.gz *.std.gz)'
filepath = QFileDialog.getOpenFileName(
caption='Open STDF or GZ File', filter=filterboi)
self.status_text.update()
self.convert_SDTFV42007_to_ASCII.setEnabled(False)
self.progress_bar.setMaximum(0)
self.threaded_diagnosis_parser = DiagParseThread(filepath[0])
self.threaded_diagnosis_parser.notify_status_text.connect(self.on_update_text)
self.threaded_diagnosis_parser.finished.connect(self.set_progress_bar_max)
self.threaded_diagnosis_parser.start()
self.convert_SDTFV42007_to_ASCII.setEnabled(True)
# self.main_window()
def set_progress_bar_max(self):
self.progress_bar.setMaximum(100)
QMessageBox.information(self, 'Go ahead, bro', 'Parse Complete !', QMessageBox.Ok)
# Checks if the toggle by limits mark is checked or not
def toggler(self, state):
if state == Qt.Checked:
self.limits_toggled = True
else:
self.limits_toggled = False
# Checks if the plot rhe tendency group by file or not
def group_by_file(self, state):
if state == Qt.Checked:
self.group_toggled = True
else:
self.group_toggled = False
def enable_cherry_pick_flag(self, state):
if state == Qt.Checked:
self.cherry_pick_toggled = True
self.selected_site_line_edit.setEnabled(True)
else:
self.cherry_pick_toggled = False
self.selected_site_line_edit.setEnabled(False)
def enable_ignore_tnum_flag(self, state):
if state == Qt.Checked:
self.ignore_TNUM_toggled = True
else:
self.ignore_TNUM_toggled = False
def enable_ignore_chnum_flag(self, state):
if state == Qt.Checked:
self.ignore_chnum_toggled = True
else:
self.ignore_chnum_toggled = False
def enable_output_one_file_flag(self, state):
if state == Qt.Checked:
self.output_one_file_toggled = True
else:
self.output_one_file_toggled = False
def process_csv_file(self):
self.df_csv = pd.DataFrame()
csv_data = pd.DataFrame()
self.list_of_test_numbers_string = []
self.tnumber_list = []
self.tname_list = []
self.test_info_list = []
test_info_list = []
i = 0
for filename in self.file_paths:
csv_data = pd.read_csv(filename, header=[0, 1, 2, 3, 4])
# Extracts the test name for the selecting
tmp_pd = csv_data.columns
single_columns = tmp_pd.get_level_values(4).values.tolist()[:16] # Get the part info
tnumber_list = tmp_pd.get_level_values(4).values.tolist()[16:]
tname_list = tmp_pd.get_level_values(0).values.tolist()[16:]
test_info_list = list(set(tmp_pd.values.tolist()[16:]).union(test_info_list))
list_of_test_numbers_string = [j + ' - ' + i for i, j in zip(tname_list, tnumber_list)]
# Change the multi-level columns to single level columns
single_columns = single_columns + list_of_test_numbers_string
csv_data.columns = single_columns
if self.cherry_pick_toggled:
site_list = []
text = self.selected_site_line_edit.text()
if self.cherry_pick_toggled and text != "Input selected site list here":
site_list = text.replace('-', ' ').replace(';', ' ').replace(',', ' ').split()
if len(self.file_paths) != len(site_list):
QMessageBox.information(
self, 'Error', "File count mismatch with input site list!",
QMessageBox.Ok)
break
site_index = int(site_list[i])
csv_data = csv_data[csv_data['SITE_NUM'].isin([site_index])].copy()
i += 1
if self.df_csv.empty:
self.df_csv = csv_data.copy()
else:
self.df_csv = pd.concat([self.df_csv, csv_data], sort=False,
join='outer', ignore_index=True)
# self.df_csv = pd.read_csv(self.file_path, header=[0, 1, 2, 3, 4]) # , dtype=str)
# self.df_csv.replace(r'\(F\)','',regex=True, inplace=True)
# self.df_csv.iloc[:,12:] = self.df_csv.iloc[:,12:].astype('float')
# Extracts the test name for the selecting
tmp_pd = self.df_csv.columns
self.single_columns = tmp_pd.values.tolist()[:16] # Get the part info
# self.tnumber_list = tmp_pd.values.tolist()[16:]
# self.tname_list = tmp_pd.values.tolist()[16:]
self.test_info_list = test_info_list # tmp_pd.values.tolist()[16:]
self.list_of_test_numbers_string = tmp_pd.values.tolist()[
16:] # [j + ' - ' + i for i, j in zip(self.tname_list, self.tnumber_list)]
# Change the multi-level columns to single level columns
# self.single_columns = self.single_columns + self.list_of_test_numbers_string
# self.df_csv.columns = self.single_columns
if self.df_csv.shape[0] > 0:
# Data cleaning, get rid of '(F)' and '(A)'
self.df_csv.replace(r'\((F|A)\)', '', regex=True, inplace=True)
self.df_csv.iloc[:, 16:] = self.df_csv.iloc[:, 16:].astype('float')
# self.df_csv[self.df_csv.columns[16:]] = self.df_csv[self.df_csv.columns[16:]].astype('float')
self.df_csv['X_COORD'] = self.df_csv['X_COORD'].astype(int)
self.df_csv['Y_COORD'] = self.df_csv['Y_COORD'].astype(int)
self.df_csv['SOFT_BIN'] = self.df_csv['SOFT_BIN'].astype(int)
self.df_csv['HARD_BIN'] = self.df_csv['HARD_BIN'].astype(int)
self.df_csv['LOT_ID'].fillna(value=9999, inplace=True)
self.df_csv['WAFER_ID'].fillna(value=9999, inplace=True)
self.df_csv['PART_ID'].fillna(value=9999, inplace=True)
self.df_csv['BIN_DESC'].fillna(value='NA', inplace=True)
# Extract the test name and test number list
self.list_of_test_numbers = [x.split(" - ") for x in
self.list_of_test_numbers_string] # [list(z) for z in (zip(self.tnumber_list, self.tname_list))]
self.tnumber_list = [x[0] for x in self.list_of_test_numbers]
self.tname_list = [x[1] for x in self.list_of_test_numbers]
# Get site array
self.sdr_parse = self.df_csv['SITE_NUM'].unique()
self.number_of_sites = len(self.sdr_parse)
else:
QMessageBox.information(
self, 'Warning', "Empty line in loaded file!",
QMessageBox.Ok)
# Opens and reads a file to parse the data. Much of this is what was done in main() from the text version
def open_text(self):
# Only accepts text files
filterboi = 'CSV Table (*.csv)'
# filepath = QFileDialog.getOpenFileName(
# caption='Open .csv File', filter=filterboi)
filepath = QFileDialog.getOpenFileNames(
caption='Open .csv File', filter=filterboi, options=QFileDialog.DontUseNativeDialog)
self.file_paths = filepath[0]
# Because you can open it and select nothing smh
if len(self.file_paths) > 0:
self.file_path = self.file_paths[0]
self.txt_upload_button.setEnabled(False)
self.progress_bar.setValue(0)
# initial key data variables
self.df_csv = pd.DataFrame()
self.list_of_test_numbers = []
self.list_of_duplicate_test_numbers = []
startt = time.time()
if self.file_path.endswith(".txt"):
pass
elif self.file_path.endswith(".std"):
pass
elif self.file_path.endswith(".csv"):
self.process_csv_file()
endt = time.time()
print('读取时间：', endt - startt)
logging.info('Debug message: ' + '读取时间：' + str(endt - startt))
# sdr_parse = self.sdr_data[0].split("|")
self.progress_bar.setValue(35)
self.file_selected = True
self.select_test_menu.loadItems(self.list_of_test_numbers_string)
self.select_s2s_test_menu.loadItems(self.list_of_test_numbers_string)
self.select_test_for_subcsv_menu.loadItems(self.list_of_test_numbers_string)
self.selected_tests = []
# log parsed document, if duplicate test number exist, show warning !
if len(self.list_of_duplicate_test_numbers) > 0:
self.status_text.setText(
'Parsed .csv uploaded! But Duplicate Test Number Found! Please Check \'duplicate_test_number.csv\'')
else:
self.status_text.setText('Parsed .csv uploaded!')
self.progress_bar.setValue(100)
self.txt_upload_button.setEnabled(True)
self.generate_pdf_button.setEnabled(True)
self.select_test_menu.setEnabled(True)
self.generate_summary_button.setEnabled(True)
self.limit_toggle.setEnabled(True)
self.group_toggle.setEnabled(True)
self.plot_tests_button.setEnabled(True)
self.generate_correlation_button.setEnabled(True)
self.generate_correlation_button_s2s.setEnabled(True)
self.select_s2s_test_menu.setEnabled(False)
self.generate_heatmap_button.setEnabled(False)
self.select_test_for_subcsv_menu.setEnabled(True)
self.extract_subcsv.setEnabled(True)
self.llm_prompt_edit.setEnabled(True)
self.llm_btn.setEnabled(True)
self.main_window()
else:
self.status_text.setText('Please select a file')
# find out the duplicate test number with differnet test name
def list_duplicates_of(self, seq, item, start_index): # start_index is to reduce the complex
start_at = -1
locs = []
while True:
try:
loc = seq.index(item, start_at + 1)
except ValueError:
break
else:
locs.append(start_index + loc)
start_at = loc
# Just find the first duplicate to reduce complex
if len(locs) == 2:
break
return locs
# Create a xlsx report including Data Statistics, Duplicate Test Number and Wafer Map
def generate_analysis_report(self):
nowTime = datetime.datetime.now().strftime('%Y%m%d-%H%M%S')
analysis_report_name = str(self.file_path[:-11] + "_analysis_report_" + nowTime + ".xlsx")
self.status_text.setText(
str(analysis_report_name + " is generating..."))
startt = time.time()
data_summary = self.make_data_summary_report()
endt = time.time()
print('data summary Time: ', endt - startt)
logging.info('Debug message: ' + 'data summary Time: ' + str(endt - startt))
startt = time.time()
duplicate_number_report = self.make_duplicate_num_report()
self.progress_bar.setValue(82)
endt = time.time()
print('duplicate number Time: ', endt - startt)
logging.info('Debug message: ' + 'duplicate number Time: ' + str(endt - startt))
startt = time.time()
bin_summary_list = self.make_bin_summary()
self.progress_bar.setValue(85)
endt = time.time()
print('bin summary Time: ', endt - startt)
logging.info('Debug message: ' + 'bin summary Time: ' + str(endt - startt))
startt = time.time()
wafer_map_list = self.make_wafer_map()
self.progress_bar.setValue(88)
endt = time.time()
print('wafer map Time: ', endt - startt)
logging.info('Debug message: ' + 'wafer map Time: ' + str(endt - startt))
startt = time.time()
# In case someone has the file open
try:
with pd.ExcelWriter(analysis_report_name, engine='xlsxwriter') as writer:
workbook = writer.book
# Light red fill for Bin 2XXX
format_2XXX = workbook.add_format({'bg_color': '#FF0000'})
# Orange fill for Bin 3XXX
format_3XXX = workbook.add_format({'bg_color': '#FF6600'})
# Dark red fill for Bin 4XXX
format_4XXX = workbook.add_format({'bg_color': '#FFC7CE'})
# Light yellow for Bin 6XXX
format_6XXX = workbook.add_format({'bg_color': '#FFEB9C'})
# Dark yellow for Bin 9XXX
format_9XXX = workbook.add_format({'bg_color': '#9C6500'})
# Green for Bin 1/1XXX
format_1XXX = workbook.add_format({'bg_color': '#008000'})
# Dark green for Bin 7XXX
format_7XXX = workbook.add_format({'bg_color': '#C6EFCE'})
# Add width and format for first column
format1 = workbook.add_format({'align': 'left'})
data_summary.to_excel(writer, sheet_name='Data Statistics')
row_table, column_table = data_summary.shape
worksheet = writer.sheets['Data Statistics']
# Freeze pane on the top row
worksheet.freeze_panes(1, 0)
# Set the width and align
worksheet.set_column('A:A', 25, format1)
worksheet.conditional_format(1, 13, row_table, 13,
{'type': 'cell', 'criteria': '<',
'value': 3.3, 'format': format_4XXX})
worksheet.conditional_format(1, 14, row_table, 14,
{'type': 'cell', 'criteria': '<',
'value': 1.33, 'format': format_4XXX})
worksheet.conditional_format(1, 15, row_table, 15,
{'type': 'cell', 'criteria': '<',
'value': 1.33, 'format': format_4XXX})
worksheet.conditional_format(1, 16, row_table, 16,
{'type': 'cell', 'criteria': '<',
'value': 1.33, 'format': format_4XXX})
worksheet.autofilter(0, 0, row_table, column_table)
self.progress_bar.setValue(89)
duplicate_number_report.to_excel(writer, sheet_name='Duplicate Test Number')
self.progress_bar.setValue(90)
# Output Bin Summary Sheet
start_row = 0
for i in range(len(bin_summary_list)):
bin_summary = bin_summary_list[i]
row_table, column_table = bin_summary.shape
bin_summary.to_excel(writer, sheet_name='Bin Summary', startrow=start_row)
worksheet = writer.sheets['Bin Summary']
worksheet.conditional_format(start_row + 1, 0,
start_row + row_table, 0,
{'type': 'cell',
'criteria': 'between',
'minimum': 1,
'maximum': 1999,
'format': format_1XXX})
worksheet.conditional_format(start_row + 1, 0,
start_row + row_table, 0,
{'type': 'cell',
'criteria': 'between',
'minimum': 2000,
'maximum': 2999,
'format': format_2XXX})
worksheet.conditional_format(start_row + 1, 0,
start_row + row_table, 0,
{'type': 'cell',
'criteria': 'between',
'minimum': 3000,
'maximum': 3999,
'format': format_3XXX})
worksheet.conditional_format(start_row + 1, 0,
start_row + row_table, 0,
{'type': 'cell',
'criteria': 'between',
'minimum': 4000,
'maximum': 4999,
'format': format_4XXX})
worksheet.conditional_format(start_row + 1, 0,
start_row + row_table, 0,
{'type': 'cell',
'criteria': 'between',
'minimum': 6000,
'maximum': 6999,
'format': format_6XXX})
worksheet.conditional_format(start_row + 1, 0,
start_row + row_table, 0,
{'type': 'cell',
'criteria': 'between',
'minimum': 7000,
'maximum': 7999,
'format': format_7XXX})
worksheet.conditional_format(start_row + 1, 0,
start_row + row_table, 0,
{'type': 'cell',
'criteria': 'between',
'minimum': 9000,
'maximum': 9999,
'format': format_9XXX})
self.progress_bar.setValue(90 + int(i / len(bin_summary_list) * 5))
start_row = start_row + row_table + 3
# Output Wafer Map Sheet: total wafer map and maps for each site
start_row = 0
for i in range(len(wafer_map_list)):
start_column = 0
for j in range(len(wafer_map_list[i])):
wafer_map = wafer_map_list[i][j]
row_table, column_table = wafer_map.shape
wafer_map.to_excel(writer, sheet_name='Wafer Map', startrow=start_row, startcol=start_column)
worksheet = writer.sheets['Wafer Map']
worksheet.conditional_format(start_row + 1, start_column + 1,
start_row + row_table, start_column + column_table,
{'type': 'cell',
'criteria': 'between',
'minimum': 1,
'maximum': 1999,
'format': format_1XXX})
worksheet.conditional_format(start_row + 1, start_column + 1,