import pdfplumber import openpyxl import os from common import clibs def p_iso(file, p_files, ws, tmpfile): p_files.append(file) pdf = pdfplumber.open(file) with open(tmpfile, mode="w", encoding="utf-8") as fb: for page in pdf.pages: fb.write(page.extract_text()) with open(tmpfile, mode="r", encoding="utf-8") as fb: lines = fb.readlines() lines = [line for line in lines if not line.startswith("Page ")] for line in lines: if line.strip() == "Pose Accuracy and Repeatability": index = lines.index(line) ws.cell(row=3, column=7).value = float(lines[index+4].split()[1]) ws.cell(row=4, column=7).value = float(lines[index+5].split()[1]) ws.cell(row=5, column=7).value = float(lines[index+6].split()[1]) ws.cell(row=6, column=7).value = float(lines[index+7].split()[1]) ws.cell(row=7, column=7).value = float(lines[index+8].split()[1]) ws.cell(row=8, column=7).value = float(lines[index+4].split()[2]) ws.cell(row=9, column=7).value = float(lines[index+5].split()[2]) ws.cell(row=10, column=7).value = float(lines[index+6].split()[2]) ws.cell(row=11, column=7).value = float(lines[index+7].split()[2]) ws.cell(row=12, column=7).value = float(lines[index+8].split()[2]) elif line.strip() == "Pose Accuracy Variation": index = lines.index(line) ws.cell(row=13, column=7).value = float(lines[index+4].split()[1]) ws.cell(row=14, column=7).value = float(lines[index+5].split()[1]) ws.cell(row=15, column=7).value = float(lines[index+6].split()[1]) elif line.strip() == "Distance Accuracy": index = lines.index(line) ws.cell(row=16, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=17, column=7).value = float(lines[index + 4].split()[2]) elif line.strip() == "Stabilisation Time and Overshoot": index = lines.index(line) ws.cell(row=18, column=7).value = float(lines[index + 7].split()[3]) ws.cell(row=19, column=7).value = float(lines[index + 7].split()[2]) elif line.strip() == "Velocity Accuracy and Repeatability": index = lines.index(line) ws.cell(row=20, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=21, column=7).value = float(lines[index + 4].split()[2]) ws.cell(row=22, column=7).value = float(lines[index + 4].split()[3]) elif line.strip()[:31] == "Path Accuracy and Repeatability": index = lines.index(line) ws.cell(row=29, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=30, column=7).value = float(lines[index + 4].split()[2]) elif line.strip() == "Corner Overshoot and Roundoff": index = lines.index(line) ws.cell(row=35, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=36, column=7).value = float(lines[index + 4].split()[2]) elif line.strip() == "Robot Weaving": index = lines.index(line) ws.cell(row=41, column=7).value = float(lines[index + 4].split()[2]) ws.cell(row=42, column=7).value = float(lines[index + 4].split()[3]) ws.cell(row=43, column=7).value = float(lines[index + 4].split()[4]) else: pass pdf.close() def p_iso_100(file, p_files, ws, tmpfile): p_files.append(file) pdf = pdfplumber.open(file) with open(tmpfile, mode="w", encoding="utf-8") as fb: for page in pdf.pages: fb.write(page.extract_text()) with open(tmpfile, mode="r", encoding="utf-8") as fb: lines = fb.readlines() lines = [line for line in lines if not line.startswith("Page ")] for line in lines: if line.strip() == "Velocity Accuracy and Repeatability": index = lines.index(line) ws.cell(row=26, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=27, column=7).value = float(lines[index + 4].split()[2]) ws.cell(row=28, column=7).value = float(lines[index + 4].split()[3]) elif line.strip()[:31] == "Path Accuracy and Repeatability": index = lines.index(line) ws.cell(row=33, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=34, column=7).value = float(lines[index + 4].split()[2]) elif line.strip() == "Corner Overshoot and Roundoff": index = lines.index(line) ws.cell(row=39, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=40, column=7).value = float(lines[index + 4].split()[2]) elif line.strip() == "Robot Weaving": index = lines.index(line) ws.cell(row=47, column=7).value = float(lines[index + 4].split()[2]) ws.cell(row=48, column=7).value = float(lines[index + 4].split()[3]) ws.cell(row=49, column=7).value = float(lines[index + 4].split()[4]) else: pass pdf.close() def p_iso_1000(file, p_files, ws, tmpfile): p_files.append(file) pdf = pdfplumber.open(file) with open(tmpfile, mode="w", encoding="utf-8") as fb: for page in pdf.pages: fb.write(page.extract_text()) with open(tmpfile, mode="r", encoding="utf-8") as fb: lines = fb.readlines() lines = [line for line in lines if not line.startswith("Page ")] for line in lines: if line.strip() == "Velocity Accuracy and Repeatability": index = lines.index(line) ws.cell(row=23, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=24, column=7).value = float(lines[index + 4].split()[2]) ws.cell(row=25, column=7).value = float(lines[index + 4].split()[3]) elif line.strip()[:31] == "Path Accuracy and Repeatability": index = lines.index(line) ws.cell(row=31, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=32, column=7).value = float(lines[index + 4].split()[2]) elif line.strip() == "Corner Overshoot and Roundoff": index = lines.index(line) ws.cell(row=37, column=7).value = float(lines[index + 4].split()[1]) ws.cell(row=38, column=7).value = float(lines[index + 4].split()[2]) elif line.strip() == "Robot Weaving": index = lines.index(line) ws.cell(row=44, column=7).value = float(lines[index + 4].split()[2]) ws.cell(row=45, column=7).value = float(lines[index + 4].split()[3]) ws.cell(row=46, column=7).value = float(lines[index + 4].split()[4]) else: pass pdf.close() def main(): path = clibs.data_dp["_path"] w2t = clibs.w2t dirs, files = clibs.traversal_files(path, 1) filename = f"{path}/iso-results.xlsx" tmpfile = f"{path}/data.txt" wb, ws = None, None try: wb = openpyxl.load_workbook(filename) ws = wb.active for i in range(3, 50): ws.cell(row=i, column=7).value = None except Exception as Err: clibs.insert_logdb("ERROR", "iso", f"main: 无法打开文件 {filename}") w2t(f"发生错误:{Err}", "red", "FileOpenError") p_files = [] for file in files: if file.endswith(".pdf") and file.split("/")[-1] == "ISO.pdf": w2t(f"正在处理{file}......\n") p_iso(file, p_files, ws, tmpfile) w2t(f"文件{file}已处理完毕。\n") elif file.endswith(".pdf") and file.split("/")[-1] == "ISO-V100.pdf": w2t(f"正在处理{file}......\n") p_iso_100(file, p_files, ws, tmpfile) w2t(f"文件{file}已处理完毕。\n") elif file.endswith(".pdf") and file.split("/")[-1] == "ISO-V1000.pdf": w2t(f"正在处理{file}......\n") p_iso_1000(file, p_files, ws, tmpfile) w2t(f"文件{file}已处理完毕。\n") else: pass wb.save(filename) wb.close() if len(p_files) == 0: w2t(f"目录 {path} 下没有需要处理的文件,需要确认......", "red") else: os.remove(tmpfile) w2t("------------------------------------------\n") w2t("所有文件均已处理完毕!\n") if __name__ == "__main__": main()