215 lines
11 KiB
Python
215 lines
11 KiB
Python
import pdfplumber
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import openpyxl
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import os
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import time
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from PySide6.QtCore import Signal, QThread
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from codes.common import clibs
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class IsoDataProcess(QThread):
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output = Signal(str, str)
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def __init__(self, dir_path, /):
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super().__init__()
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self.dir_path = dir_path
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self.idx = 2
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def logger(self, level, module, content, color="black", error="", flag="both"):
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flag = "cursor" if level.upper() == "DEBUG" else "both"
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clibs.logger(level, module, content, color, flag, signal=self.output)
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if level.upper() == "ERROR":
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raise Exception(f"{error} | {content}")
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def p_iso(self, file, p_files, ws, tmpfile):
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p_files.append(file)
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pdf = pdfplumber.open(file)
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with open(tmpfile, mode="w", encoding="utf-8") as fb:
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for page in pdf.pages:
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fb.write(page.extract_text())
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with open(tmpfile, mode="r", encoding="utf-8") as fb:
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lines = fb.readlines()
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lines = [line for line in lines if not line.startswith("Page ")]
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for line in lines:
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if line.strip() == "Pose Accuracy and Repeatability":
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index = lines.index(line)
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ws.cell(row=3, column=7).value = float(lines[index+4].split()[1])
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ws.cell(row=4, column=7).value = float(lines[index+5].split()[1])
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ws.cell(row=5, column=7).value = float(lines[index+6].split()[1])
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ws.cell(row=6, column=7).value = float(lines[index+7].split()[1])
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ws.cell(row=7, column=7).value = float(lines[index+8].split()[1])
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ws.cell(row=8, column=7).value = float(lines[index+4].split()[2])
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ws.cell(row=9, column=7).value = float(lines[index+5].split()[2])
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ws.cell(row=10, column=7).value = float(lines[index+6].split()[2])
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ws.cell(row=11, column=7).value = float(lines[index+7].split()[2])
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ws.cell(row=12, column=7).value = float(lines[index+8].split()[2])
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elif line.strip() == "Pose Accuracy Variation":
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index = lines.index(line)
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ws.cell(row=13, column=7).value = float(lines[index+4].split()[1])
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ws.cell(row=14, column=7).value = float(lines[index+5].split()[1])
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ws.cell(row=15, column=7).value = float(lines[index+6].split()[1])
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elif line.strip() == "Distance Accuracy":
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index = lines.index(line)
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ws.cell(row=16, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=17, column=7).value = float(lines[index + 4].split()[2])
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elif line.strip() == "Stabilisation Time and Overshoot":
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index = lines.index(line)
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ws.cell(row=18, column=7).value = float(lines[index + 7].split()[3])
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ws.cell(row=19, column=7).value = float(lines[index + 7].split()[2])
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elif line.strip() == "Velocity Accuracy and Repeatability":
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index = lines.index(line)
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ws.cell(row=20, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=21, column=7).value = float(lines[index + 4].split()[2])
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ws.cell(row=22, column=7).value = float(lines[index + 4].split()[3])
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elif line.strip()[:31] == "Path Accuracy and Repeatability":
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index = lines.index(line)
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ws.cell(row=29, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=30, column=7).value = float(lines[index + 4].split()[2])
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elif line.strip() == "Corner Overshoot and Roundoff":
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index = lines.index(line)
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ws.cell(row=35, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=36, column=7).value = float(lines[index + 4].split()[2])
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elif line.strip() == "Robot Weaving":
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index = lines.index(line)
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ws.cell(row=41, column=7).value = float(lines[index + 4].split()[2])
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ws.cell(row=42, column=7).value = float(lines[index + 4].split()[3])
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ws.cell(row=43, column=7).value = float(lines[index + 4].split()[4])
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else:
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pass
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pdf.close()
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def p_iso_100(self, file, p_files, ws, tmpfile):
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p_files.append(file)
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pdf = pdfplumber.open(file)
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with open(tmpfile, mode="w", encoding="utf-8") as fb:
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for page in pdf.pages:
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fb.write(page.extract_text())
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with open(tmpfile, mode="r", encoding="utf-8") as fb:
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lines = fb.readlines()
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lines = [line for line in lines if not line.startswith("Page ")]
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for line in lines:
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if line.strip() == "Velocity Accuracy and Repeatability":
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index = lines.index(line)
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ws.cell(row=26, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=27, column=7).value = float(lines[index + 4].split()[2])
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ws.cell(row=28, column=7).value = float(lines[index + 4].split()[3])
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elif line.strip()[:31] == "Path Accuracy and Repeatability":
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index = lines.index(line)
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ws.cell(row=33, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=34, column=7).value = float(lines[index + 4].split()[2])
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elif line.strip() == "Corner Overshoot and Roundoff":
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index = lines.index(line)
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ws.cell(row=39, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=40, column=7).value = float(lines[index + 4].split()[2])
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elif line.strip() == "Robot Weaving":
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index = lines.index(line)
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ws.cell(row=47, column=7).value = float(lines[index + 4].split()[2])
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ws.cell(row=48, column=7).value = float(lines[index + 4].split()[3])
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ws.cell(row=49, column=7).value = float(lines[index + 4].split()[4])
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else:
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pass
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pdf.close()
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def p_iso_1000(self, file, p_files, ws, tmpfile):
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p_files.append(file)
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pdf = pdfplumber.open(file)
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with open(tmpfile, mode="w", encoding="utf-8") as fb:
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for page in pdf.pages:
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fb.write(page.extract_text())
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with open(tmpfile, mode="r", encoding="utf-8") as fb:
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lines = fb.readlines()
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lines = [line for line in lines if not line.startswith("Page ")]
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for line in lines:
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if line.strip() == "Velocity Accuracy and Repeatability":
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index = lines.index(line)
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ws.cell(row=23, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=24, column=7).value = float(lines[index + 4].split()[2])
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ws.cell(row=25, column=7).value = float(lines[index + 4].split()[3])
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elif line.strip()[:31] == "Path Accuracy and Repeatability":
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index = lines.index(line)
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ws.cell(row=31, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=32, column=7).value = float(lines[index + 4].split()[2])
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elif line.strip() == "Corner Overshoot and Roundoff":
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index = lines.index(line)
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ws.cell(row=37, column=7).value = float(lines[index + 4].split()[1])
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ws.cell(row=38, column=7).value = float(lines[index + 4].split()[2])
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elif line.strip() == "Robot Weaving":
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index = lines.index(line)
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ws.cell(row=44, column=7).value = float(lines[index + 4].split()[2])
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ws.cell(row=45, column=7).value = float(lines[index + 4].split()[3])
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ws.cell(row=46, column=7).value = float(lines[index + 4].split()[4])
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else:
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pass
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pdf.close()
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def initialization(self):
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dirs, files = clibs.traversal_files(self.dir_path, self.output)
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if len(dirs) != 0:
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self.logger("ERROR", "iso", f"init: 工作目录下不可以有文件夹！", "red", "InitFileError")
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for file in files:
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file = file.lower()
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if file.endswith("iso-results.xlsx"):
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pass
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elif file.endswith("iso-v1000.pdf"):
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pass
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elif file.endswith("iso-v100.pdf"):
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pass
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elif file.endswith("iso.pdf"):
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pass
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else:
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self.logger("ERROR", "iso", f"init: 工作目录下只允许有如下四个文件，不区分大小写，pdf文件最少有一个！<br>1. iso-results.xlsx<br>2. ISO.pdf<br>3. ISO-V100.pdf<br>4. ISO-V1000.pdf", "red", "InitFileError")
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return files
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def processing(self):
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time_start = time.time()
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clibs.running[self.idx] = 1
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files = self.initialization()
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filename = f"{self.dir_path}/iso-results.xlsx"
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tmpfile = f"{self.dir_path}/data.txt"
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wb, ws = None, None
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try:
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wb = openpyxl.load_workbook(filename)
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ws = wb.active
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for i in range(3, 50):
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ws.cell(row=i, column=7).value = None
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except Exception as Err:
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self.logger("ERROR", "iso", f"main: 无法打开文件 {filename}<br>{Err}", "red", "FileOpenError")
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p_files = []
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for file in files:
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if file.split("/")[-1].lower() == "iso.pdf":
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self.logger("INFO", "iso", f"正在处理{file}......")
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self.p_iso(file, p_files, ws, tmpfile)
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self.logger("INFO", "iso", f"文件{file}已处理完毕。")
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elif file.split("/")[-1].lower() == "iso-v100.pdf":
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self.logger("INFO", "iso", f"正在处理{file}......")
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self.p_iso_100(file, p_files, ws, tmpfile)
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self.logger("INFO", "iso", f"文件{file}已处理完毕。")
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elif file.split("/")[-1].lower() == "iso-v1000.pdf":
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self.logger("INFO", "iso", f"正在处理{file}......")
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self.p_iso_1000(file, p_files, ws, tmpfile)
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self.logger("INFO", "iso", f"文件{file}已处理完毕。")
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else:
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pass
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wb.save(filename)
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wb.close()
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if len(p_files) == 0:
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self.logger("ERROR", "iso", f"目录 {self.dir_path} 下没有需要处理的文件，需要确认......", "red", "FileNotFound")
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else:
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os.remove(tmpfile)
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self.logger("INFO", "current-processing", "-" * 60 + "<br>全部处理完毕<br>", "purple")
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time_total = time.time() - time_start
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msg = f"数据处理时间：{time_total // 3600:02.0f} h {time_total % 3600 // 60:02.0f} m {time_total % 60:02.0f} s\n"
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self.logger("INFO", "current-processing", msg)
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