\n| 2<\/td>\n | \u6309\u300c\u8fdb\u6837\u74f6\u4f4d\u300d\u53cd\u67e5\u5bf9\u7167\u8868<\/td>\n | \u6587\u4ef6\u540d\u53ea\u6709\u65f6\u95f4\u6233，\u6837\u54c1\u53f7\u5728\u6587\u4ef6\u91cc<\/td>\n | \u6574\u884c\u6302\u8d77，\u4e0d\u731c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u5bf9\u7167\u8868\u662f\u5916\u7f6e CSV，\u628a\u300c\u4eea\u5668\u6807\u8bc6 \u2194 \u5b9e\u9a8c\u5ba4\u6837\u54c1\u53f7\u300d\u5199\u5728\u4e00\u5904，\u4eea\u5668\u6362\u4e86\u3001\u7f16\u53f7\u89c4\u5219\u6539\u4e86\u6539\u8868\u4e0d\u6539\u4ee3\u7801\u3002<\/p>\n \u7b2c\u4e00\u6b65：\u914d\u7f6e\u8def\u5f84\u4e0e\u5b57\u6bb5<\/h3>\n\u628a\u6240\u6709\u4f1a\u53d8\u7684\u4e1c\u897f\u2014\u2014\u54ea\u4e9b\u662f\u6570\u636e\u6587\u4ef6\u3001\u54ea\u5f20\u662f\u5bf9\u7167\u8868\u3001\u54ea\u4e9b\u5217\u8981\u2014\u2014\u63d0\u5230\u6587\u4ef6\u9876\u90e8\u5f53\u5e38\u91cf\u3002<\/p>\n \u51fa\u5904：run.py \u9876\u90e8\u7684\u8def\u5f84\u4e0e\u5b57\u6bb5\u5e38\u91cf\u533a<\/p>\n BASE = Path(__file__).resolve().parent
\nRAW_DIR = BASE \/ "01_raw_data"
\nOUT_DIR = BASE \/ "02_output"
\nSRC_DIR = BASE \/ "source"
\nTPL_DIR = SRC_DIR \/ "templates"
\nMAP_FILE = TPL_DIR \/ "\u6837\u54c1\u5bf9\u7167\u8868.csv"
\nLOG_FILE = SRC_DIR \/ "run_log.txt"<\/p>\n DATA_SUFFIX = {".csv", ".xlsx", ".xls"}
\nID_COL = "\u8fdb\u6837\u74f6\u4f4d" # \u4eea\u5668\u6807\u8bc6\u6240\u5728\u7684\u5217（\u6587\u4ef6\u540d\u8ba4\u4e0d\u51fa\u6765\u65f6\u9760\u5b83\u53cd\u67e5\u6837\u54c1\u53f7）
\nFILE_ID_RE = re.compile(r"(\\\\d{6,})") # \u6587\u4ef6\u540d\u91cc 6 \u4f4d\u4ee5\u4e0a\u7684\u6570\u5b57\u6bb5，\u89c6\u4e3a\u5019\u9009\u6837\u54c1\u53f7
\nOUT_NAME = "\u4eea\u5668\u7ed3\u679c\u5f52\u5806\u8868.xlsx"
\nNUM_COLS = ["\u4fdd\u7559\u65f6\u95f4", "\u5cf0\u9762\u79ef", "\u5cf0\u9ad8", "\u7ed3\u679c", "\u542b\u91cf(%)"]<\/p>\n \u8def\u5f84\u4e00\u5f8b\u7528 Path(__file__).resolve().parent \u8d77\u5934，\u4e0d\u5199\u7edd\u5bf9\u8def\u5f84\u3002DATA_SUFFIX \u628a\u975e\u6570\u636e\u6587\u4ef6（\u5982\u8bf4\u660e txt）\u6321\u5728\u5916\u9762；\u540c\u5217\u4e0d\u540c\u4eea\u5668\u5199\u6cd5\u4f1a\u98d8（\u8fdb\u6837\u74f6\u4f4d \/ \u74f6\u4f4d \/ Vial），\u522b\u540d\u5168\u6536\u5728 pick_columns() \u91cc\u7ba1\u3002<\/p>\n \u7b2c\u4e8c\u6b65：\u8bfb\u6570\u636e，\u628a\u6837\u54c1\u53f7\u8ba4\u51fa\u6765<\/h3>\n\u539f\u59cb\u8868\u4e0d\u505a\u4efb\u4f55\u89e3\u91ca，\u5148\u539f\u6837\u8bfb\u6210\u4e8c\u7ef4\u8868；\u8ba4\u53f7\u3001\u5207\u884c\u653e\u5230\u540e\u9762\u5355\u72ec\u505a，\u51fa\u9519\u65f6\u597d\u5b9a\u4f4d\u662f\u300c\u8bfb\u9519\u300d\u8fd8\u662f\u300c\u8ba4\u9519\u300d\u3002 \u51fa\u5904：run.py \u7684 load_sample_map() \u4e0e sample_no_from_name()（\u6587\u4ef6\u524d\u4e2d\u90e8）<\/p>\n def load_sample_map(path):
\n """\u8bfb\u6837\u54c1\u5bf9\u7167\u8868，\u8fd4\u56de (\u4eea\u5668\u6807\u8bc6 \u2192 \u6837\u54c1\u53f7, \u4eea\u5668\u6807\u8bc6 \u2192 \u68c0\u6d4b\u9879\u76ee)\u3002<\/p>\n \u5bf9\u7167\u8868\u662f\u4e1a\u52a1\u8d44\u4ea7：\u5199\u5728\u8868\u91cc\u3001\u4e0d\u5199\u6b7b\u5728\u4ee3\u7801\u91cc\u2014\u2014\u4eea\u5668\u6362\u4e86\u3001\u7f16\u53f7\u89c4\u5219\u6539\u4e86，\u6539\u8868\u4e0d\u6539\u4ee3\u7801\u3002
\n """
\n with path.open(encoding="utf-8-sig", newline="") as f:
\n rows = [r for r in csv.reader(f) if any(str(c).strip() for c in r)]
\n id2no, id2item = {}, {}
\n for r in rows[1:]:
\n ident = str(r[0]).strip()
\n no = str(r[1]).strip() if len(r) > 1 else ""
\n if not ident or not no:
\n continue
\n id2no[norm(ident)] = no
\n id2item[norm(ident)] = str(r[2]).strip() if len(r) > 2 else ""
\n return id2no, id2item<\/p>\n def sample_no_from_name(fname, id2no):
\n """\u5148\u4ece\u6587\u4ef6\u540d\u91cc\u627e\u6837\u54c1\u53f7：\u6587\u4ef6\u540d\u91cc\u7684\u6570\u5b57\u6bb5\u76f4\u63a5\u547d\u4e2d\u5bf9\u7167\u8868\u7684\u6837\u54c1\u53f7\u5373\u91c7\u7528\u3002<\/p>\n \u6587\u4ef6\u540d\u8ba4\u4e0d\u51fa\u6765\u4e0d\u7b97\u9519\u2014\u2014\u53ea\u662f\u8fd9\u4e00\u6761\u8d70\u300c\u6309\u74f6\u4f4d\u53cd\u67e5\u300d\u7684\u8def\u5b50，\u4e0d\u7ec8\u6b62\u89e3\u6790\u3002
\n """
\n known = set(id2no.values())
\n for m in FILE_ID_RE.findall(fname):
\n if m in known:
\n return m
\n return ""<\/p>\n sample_no_from_name() \u8981\u6c42\u6587\u4ef6\u540d\u91cc\u7684\u6570\u5b57\u80fd\u5728\u5bf9\u7167\u8868\u91cc\u627e\u5230\u624d\u7b97\u6837\u54c1\u53f7\u2014\u2014\u6587\u4ef6\u540d\u91cc\u7684 20261010 \u4e5f\u662f 8 \u4f4d\u6570\u5b57\u5374\u4e0d\u662f\u6837\u54c1\u53f7，\u9760\u8fd9\u6761\u628a\u65e5\u671f\u3001\u6279\u6b21\u53f7\u4e00\u5e76\u6321\u6389\u3002<\/p>\n \u51fa\u5904：run.py \u7684 read_text() \u4e0e read_matrix()（\u6587\u4ef6\u4e2d\u90e8）<\/p>\n def read_text(path):
\n """\u6309 utf-8-sig \u2192 gbk \u2192 utf-8 \u4f9d\u6b21\u8bd5；GBK \u6587\u4ef6\u7528 utf-8 \u8bfb\u4f1a\u76f4\u63a5\u629b\u5f02\u5e38，\u4e0d\u662f\u8bfb\u51fa\u4e71\u7801\u3002"""
\n last = None
\n for enc in ("utf-8-sig", "gbk", "utf-8"):
\n try:
\n return path.read_text(encoding=enc), enc
\n except UnicodeDecodeError as e:
\n last = e
\n raise last<\/p>\n \u7f16\u7801\u5fc5\u987b\u4f9d\u6b21\u8bd5\u3001\u4e0d\u80fd\u5199\u6b7b utf-8：\u8001\u4eea\u5668 CSV \u5e38\u89c1 GBK，\u7528 utf-8 \u8bfb\u4f1a\u76f4\u63a5\u629b\u5f02\u5e38\u3002<\/p>\n \u51fa\u5904：run.py \u7684 find_header() \u4e0e pick_columns()（\u6587\u4ef6\u4e2d\u90e8）<\/p>\n def find_header(rows):
\n """\u627e\u8868\u5934\u884c：\u7b2c\u4e00\u4e2a\u300c\u975e\u7a7a\u5355\u5143\u683c >= 2\u300d\u7684\u884c\u3002<\/p>\n \u4e0d\u80fd\u5199\u6b7b header=0\u2014\u2014CDS \u5bfc\u51fa\u5e38\u5728\u8868\u5934\u4e0a\u538b\u51e0\u884c\u5bfc\u51fa\u4fe1\u606f；
\n \u4e5f\u4e0d\u80fd\u9760\u884c\u53f7\u731c，\u6a21\u677f\u6539\u4e00\u7248\u884c\u53f7\u5c31\u5168\u9519\u3002
\n """
\n for i, r in enumerate(rows):
\n if sum(1 for c in r if str(c or "").strip()) >= 2:
\n return i
\n return -1<\/p>\n \u8868\u5934\u4e0d\u5199\u6b7b header=0：CDS \u5bfc\u51fa\u5e38\u5728\u8868\u5934\u538b\u51e0\u884c\u4fe1\u606f，\u4e5f\u4e0d\u80fd\u9760\u884c\u53f7\u731c（\u6539\u4e00\u7248\u6a21\u677f\u884c\u53f7\u5c31\u5168\u9519）\u3002<\/p>\n \u51fa\u5904：run.py \u7684 classify()（\u6587\u4ef6\u4e2d\u90e8）<\/p>\n def classify(rows, hdr, cols, fname, id2no, id2item, name_no):
\n """\u5207\u6570\u636e\u884c，\u9010\u884c\u8ba4\u6837\u54c1\u53f7，\u8fd4\u56de (\u7ed3\u679c\u884c\u5217\u8868, \u6302\u8d77\u5217\u8868)\u3002<\/p>\n \u8ba4\u53f7\u4f18\u5148\u7ea7：\u6587\u4ef6\u540d\u91cc\u7684\u6837\u54c1\u53f7 > \u74f6\u4f4d\u53cd\u67e5\u3002
\n \u6587\u4ef6\u540d\u5df2\u7ecf\u8ba4\u51fa\u6765\u4e86，\u8fd9\u4e00\u4efd\u6587\u4ef6\u6574\u6279\u5c31\u662f\u540c\u4e00\u4e2a\u6837\u54c1，\u9010\u884c\u4e0d\u518d\u6311\u74f6\u4f4d\u2014\u2014
\n \u8001\u4eea\u5668\u5bfc\u51fa\u7684\u8868\u5e72\u8106\u6ca1\u6709\u74f6\u4f4d\u5217，\u786c\u8981\u6c42\u5b83\u6709，\u6574\u4efd\u6587\u4ef6\u5c31\u767d\u767d\u6302\u8d77\u4e86\u3002
\n """
\n data, suspended = [], []
\n for k, r in enumerate(rows[hdr + 1:]):
\n cells = [normalize_value(c) for c in r]
\n if not any(cells):
\n continue
\n pos = k + hdr + 2 # Excel \u884c\u53f7（1 \u8d77\u7b97，\u8868\u5934\u5360 hdr+1 \u884c）
\n ident = cell(cells, cols.get(ID_COL)).strip()
\n no = name_no or id2no.get(norm(ident), "")
\n if not no:
\n suspended.append((fname, f"\u7b2c {pos} \u884c", f"\u6837\u54c1\u53f7\u5339\u914d\u4e0d\u4e0a（\u74f6\u4f4d\u300c{ident}\u300d\u4e0d\u5728\u5bf9\u7167\u8868）"))
\n continue
\n row = {"\u6837\u54c1\u53f7": no, "\u68c0\u6d4b\u9879\u76ee": id2item.get(norm(ident), ""),
\n "\u4eea\u5668\u6807\u8bc6": ident or fname, "\u6765\u6e90\u6587\u4ef6": fname}
\n for name, i in cols.items():
\n if name in (ID_COL,):
\n continue
\n row[name] = cell(cells, i)
\n data.append(row)
\n return data, suspended<\/p>\n no = name_no or id2no.get(norm(ident), "") \u51b3\u5b9a\u8ba4\u53f7\u4f18\u5148\u7ea7：\u6587\u4ef6\u540d\u8ba4\u51fa\u6765\u5c31\u6574\u6279\u7528\u8fd9\u4e2a\u6837\u54c1\u53f7，\u4e0d\u518d\u9010\u884c\u6311\u74f6\u4f4d\u3002<\/p>\n \u8e29\u8fc7\u7684\u5751：\u7b2c\u4e00\u7248\u628a\u300c\u5fc5\u987b\u6709 \u8fdb\u6837\u74f6\u4f4d \u5217\u300d\u5f53\u524d\u7f6e\u6761\u4ef6，\u4e00\u4efd\u6587\u4ef6\u540d\u5e26\u7740 0000190 \u7684\u8001\u6587\u4ef6\u56e0\u8868\u91cc\u6ca1\u74f6\u4f4d\u5217\u88ab\u6574\u4efd\u6302\u8d77\u3002\u8ba4\u4e0d\u51fa\u6837\u54c1\u53f7\u624d\u6302\u8d77，\u4e0d\u662f\u6ca1\u74f6\u4f4d\u5217\u5c31\u6302\u8d77\u3002<\/p>\n \u4e00\u4efd\u6587\u4ef6\u91cc\u53ef\u80fd\u6df7\u7740\u4e24\u4e2a\u6837\u54c1（\u4e00\u6b21\u5e8f\u5217\u8dd1\u5b8c\u5bfc\u6210\u4e00\u4efd\u6c47\u603b），\u5f52\u5806\u6309\u884c\u505a\u3002<\/p>\n \u7b2c\u4e09\u6b65：\u62fc\u6570\u636e，\u628a\u91cd\u590d\u548c\u5f02\u5e38\u6311\u51fa\u6765<\/h3>\n\u6837\u54c1\u53f7\u8ba4\u51fa\u6765\u540e\u6309\u6837\u54c1\u5f52\u5806，\u540c\u65f6\u5904\u7406\u4e24\u7c7b\u5f02\u5e38：\u540c\u4e00\u6837\u54c1\u51fa\u73b0\u591a\u6761\u7ed3\u679c（\u590d\u68c0 \/ \u5e73\u884c\u6837），\u4ee5\u53ca\u7ed3\u679c\u503c\u4e0d\u662f\u7eaf\u6570\u5b57（\u672a\u68c0\u51fa \/ ND \/ <0.05）\u3002 \u51fa\u5904：run.py \u7684 flag_dupes()（\u6587\u4ef6\u4e2d\u90e8）<\/p>\n def flag_dupes(data):
\n """\u540c\u4e00\u6837\u54c1\u53f7 + \u540c\u4e00\u68c0\u6d4b\u9879\u76ee\u51fa\u73b0\u591a\u884c\u65f6\u6807\u8bb0\u51fa\u6765（\u590d\u68c0 \/ \u5e73\u884c\u6837），\u4f46\u4e0d\u64c5\u81ea\u53d6\u6570\u3002"""
\n from collections import Counter
\n counter = Counter((r["\u6837\u54c1\u53f7"], r.get("\u7ec4\u5206", "")) for r in data)
\n for r in data:
\n key = (r["\u6837\u54c1\u53f7"], r.get("\u7ec4\u5206", ""))
\n if counter[key] > 1:
\n r["\u91cd\u590d\u6807\u8bb0"] = f"\u540c\u4e00\u6837\u54c1\u540c\u4e00\u7ec4\u5206 {counter[key]} \u6761"
\n else:
\n r["\u91cd\u590d\u6807\u8bb0"] = ""
\n return data<\/p>\n \u540c\u4e00\u6837\u54c1\u4e24\u6761\u7ed3\u679c\u53ea\u6253\u6807\u3001\u4e0d\u66ff\u4eba\u6311\u4e00\u6761（\u8c01\u5bf9\u8c01\u9519\u662f\u4e1a\u52a1\u5224\u65ad，\u6311\u9519\u6bd4\u4e0d\u6311\u66f4\u5371\u9669）：<\/p>\n \n\u52a8\u4f5c\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u5199<\/tr>\n \n\n| \u7528 Counter \u6309（\u6837\u54c1\u53f7 + \u7ec4\u5206）\u8ba1\u6570<\/td>\n | \u53ea\u5728\u540c\u4e00\u68c0\u6d4b\u9879\u5185\u7b97\u91cd\u590d，\u4e0d\u540c\u68c0\u6d4b\u9879\u5404\u7b97\u5404\u7684<\/td>\n<\/tr>\n | \n| \u91cd\u590d\u53ea\u6807\u8bb0\u3001\u4e0d\u5220<\/td>\n | \u590d\u68c0\u7ed3\u679c\u53ef\u80fd\u8981\u7559\u4f5c\u5386\u53f2，\u5220\u4e86\u5c31\u6ca1\u4e86<\/td>\n<\/tr>\n | \n| \u7ed3\u679c\u503c\u539f\u6837\u4fdd\u7559，\u4e0d\u8f6c\u6570\u5b57<\/td>\n | \u672a\u68c0\u51fa \/ <0.05 \u8f6c\u6210 0 \u6216 NaN \u5c31\u5931\u771f\u4e86<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u7ed3\u679c\u5217\u4e0d\u505a\u5355\u4f4d\u6362\u7b97\u3001\u4e0d\u586b\u8865\u7f3a\u5931\u3001\u4e0d\u628a\u300c\u672a\u68c0\u51fa\u300d\u5f53 0\u2014\u2014\u8fd9\u662f\u6570\u636e\u5b8c\u6574\u6027\u5e95\u7ebf：\u4eea\u5668\u62a5\u300c\u672a\u68c0\u51fa\u300d\u548c\u300c\u7ed3\u679c\u4e3a 0\u300d\u662f\u4e24\u56de\u4e8b，\u6df7\u4e00\u8d77\u5165\u5e93\u65f6\u5c31\u5206\u4e0d\u6e05\u4e86\u3002<\/p>\n \u51fa\u5904：run.py \u7684 collect()（\u6587\u4ef6\u4e2d\u90e8）<\/p>\n cols = pick_columns(rows[hdr])
\n name_no = sample_no_from_name(path.name, id2no)
\n # \u4e24\u6761\u8def\u90fd\u8d70\u4e0d\u901a\u624d\u6302\u8d77\u6574\u4efd\u6587\u4ef6：\u6587\u4ef6\u540d\u8ba4\u4e0d\u51fa\u3001\u4e14\u8868\u91cc\u4e5f\u6ca1\u6709\u80fd\u53cd\u67e5\u7684\u74f6\u4f4d\u5217
\n if not name_no and ID_COL not in cols:
\n suspended.append((path.name, "\u6574\u4e2a\u6587\u4ef6",
\n f"\u6587\u4ef6\u540d\u8ba4\u4e0d\u51fa\u6837\u54c1\u53f7，\u8868\u91cc\u4e5f\u6ca1\u6709\u300c{ID_COL}\u300d\u5217"))
\n continue
\n got, susp = classify(rows, hdr, cols, path.name, id2no, id2item, name_no)
\n trace.append((path.name, enc, hdr + 1, len(got), len(susp),
\n "\u6587\u4ef6\u540d\u8ba4\u53f7" if name_no else "\u6309\u74f6\u4f4d\u53cd\u67e5"))<\/p>\n collect() \u904d\u5386\u76ee\u5f55，\u6bcf\u4e2a\u6587\u4ef6\u8d70\u4e00\u904d\u300c\u8bfb \u2192 \u627e\u8868\u5934 \u2192 \u8ba4\u53f7 \u2192 \u5f52\u5806\u300d；if not name_no and ID_COL not in cols\u2014\u2014\u4e24\u6761\u8def\u90fd\u4e0d\u901a\u624d\u6302\u8d77\u6574\u4efd\u6587\u4ef6\u3002<\/p>\n \u7b2c\u56db\u6b65：\u8f93\u51fa，\u4e09\u4efd\u8868\u4e00\u8d77\u843d\u76d8<\/h3>\n\u6700\u540e\u5199\u4e09\u4efd：\u5f52\u5806\u8868（\u53ef\u5165\u5e93\u6e05\u5355）\u3001\u8ba4\u53f7\u7559\u75d5（\u6bcf\u4e2a\u6587\u4ef6\u600e\u4e48\u8ba4\u7684\u53f7）\u3001\u6302\u8d77\u6e05\u5355（\u54ea\u4e9b\u6ca1\u5bf9\u4e0a\u3001\u4e3a\u4ec0\u4e48）\u3002<\/p>\n \u51fa\u5904：run.py \u7684 write_outputs()（\u6587\u4ef6\u540e\u4e2d\u90e8）<\/p>\n cols = ["\u6837\u54c1\u53f7", "\u68c0\u6d4b\u9879\u76ee", "\u4eea\u5668\u6807\u8bc6", "\u7ec4\u5206",
\n "\u4fdd\u7559\u65f6\u95f4", "\u5cf0\u9762\u79ef", "\u5cf0\u9ad8", "\u7ed3\u679c", "\u542b\u91cf(%)", "\u91cd\u590d\u6807\u8bb0", "\u6765\u6e90\u6587\u4ef6"]
\n df = pd.DataFrame([{c: r.get(c, "") for c in cols} for r in data], columns=cols)
\n out = OUT_DIR \/ OUT_NAME
\n df.to_excel(out, index=False, sheet_name="\u5f52\u5806\u7ed3\u679c")
\n wb = load_workbook(out)
\n ws = wb["\u5f52\u5806\u7ed3\u679c"]
\n for j, name in enumerate(cols, 1): # \u6587\u672c\u5217\u8bbe\u6210\u6587\u672c\u683c\u5f0f，\u524d\u5bfc\u96f6\u624d\u4e0d\u4f1a\u88ab\u5403\u6389
\n if name in NUM_COLS:
\n continue
\n for i in range(2, ws.max_row + 1):
\n ws.cell(row=i, column=j).number_format = "@"
\n wb.save(out)<\/p>\n \u6837\u54c1\u53f7\u5fc5\u987b\u6309\u6587\u672c\u683c\u5f0f\u5b58，\u5426\u5219 0000182 \u4f1a\u88ab Excel \u5403\u6389\u524d\u5bfc\u96f6\u53d8\u6210 182，\u8ddf LIMS \u7f16\u53f7\u5c31\u5bf9\u4e0d\u4e0a\u3002\u505a\u6cd5：pandas \u5148\u5199\u51fa\u6587\u4ef6，\u518d load_workbook \u6253\u5f00\u3001\u628a\u975e\u6570\u503c\u5217\u8bbe\u6210 "@" \u540e save，\u591a\u4e00\u6b21\u8bfb\u5199\u6362\u524d\u5bfc\u96f6\u4e0d\u4e22\u3002<\/p>\n \u51fa\u5904：run.py \u7684 main()（\u6587\u4ef6\u672b\u5c3e）<\/p>\n data, trace, suspended, files = collect(id2no, id2item)
\n data = flag_dupes(data)
\n print(f"\u626b\u63cf\u6587\u4ef6 {len(files)} \u4e2a \u2192 \u5f52\u5806 {len(data)} \u884c \/ \u6302\u8d77 {len(suspended)} \u6761")<\/p>\n out = write_outputs(data, trace, suspended)
\n print(f"\u5df2\u751f\u6210：{out.name}")
\n ok = verify(data, trace, suspended)<\/p>\n run.py \u8fd8\u5e26\u4e00\u5c42\u5de5\u7a0b\u5916\u58f3：\u7f3a\u4f9d\u8d56\u81ea\u52a8\u4ece\u6e05\u534e\u6e90\u88c5\u3001\u6bcf\u6b21\u5f80 source\/run_log.txt \u8ffd\u52a0\u65e5\u5fd7（\u5f00\u5934\u8bb0\u8fd0\u884c\u4e3b\u673a\u4e0e IP）\u3001\u751f\u6210\u540e\u81ea\u52a8\u56de\u8bfb\u65ad\u8a00\u6253\u5370 OK \/ FAIL\u3002\u4e0d\u5f71\u54cd\u4e3b\u7ebf，\u4e0d\u5c55\u5f00\u3002<\/p>\n \u5c0f\u7ed3<\/h3>\n\u628a\u4eea\u5668\u6570\u636e\u5bf9\u63a5\u8fdb LIMS，\u6700\u524d\u9762\u90a3\u4e00\u6b65\u4e0d\u662f\u8fde\u63a5\u53e3，\u662f\u628a\u4eea\u5668\u5410\u51fa\u6765\u7684\u4e1c\u897f\u7ffb\u8bd1\u6210\u5b9e\u9a8c\u5ba4\u8ba4\u5f97\u7684\u6837\u54c1\u53f7\u3002\u8fd9\u7bc7\u7684\u56db\u6b65\u89e3\u51b3\u7684\u5c31\u662f\u5b83：<\/p>\n \n- \u8ba4\u53f7\u6709\u4f18\u5148\u7ea7：\u6587\u4ef6\u540d\u4f18\u5148，\u8ba4\u4e0d\u51fa\u6309\u300c\u8fdb\u6837\u74f6\u4f4d\u300d\u53cd\u67e5\u5916\u7f6e\u5bf9\u7167\u8868；<\/li>\n
- \u4e00\u4efd\u6587\u4ef6\u53ef\u80fd\u6df7\u591a\u4e2a\u6837\u54c1，\u5f52\u5806\u6309\u884c\u505a；<\/li>\n
- \u540c\u4e00\u6837\u54c1\u591a\u6761\u7ed3\u679c\u53ea\u6807\u8bb0\u3001\u4e0d\u64c5\u81ea\u53d6\u6570；<\/li>\n
- \u8ba4\u4e0d\u51fa\u7684\u6574\u884c\u6302\u8d77\u3001\u5199\u660e\u539f\u56e0，\u4e0d\u731c\u3001\u4e0d\u5c31\u8fd1\u8865；<\/li>\n
- \u7ed3\u679c\u975e\u6570\u503c（\u672a\u68c0\u51fa \/ ND \/ <0.05）\u539f\u6837\u4fdd\u7559，\u7edd\u4e0d\u5f53 0\u3002<\/li>\n<\/ul>\n
\u5bf9\u5f97\u4e0a\u3001\u7559\u4e86\u75d5\u3001\u6302\u8d77\u7684\u4e5f\u6807\u6e05\u4e86，\u518d\u8c08\u5165\u5e93\u6216\u63a5 LIMS \u91c7\u96c6\u624d\u4e0d\u5bb9\u6613\u51fa\u5c94\u5b50\u3002<\/p>\n \u5b8c\u6574\u6e90\u7801<\/h3>\n\u5b8c\u6574\u53ef\u8dd1\u793a\u4f8b（\u542b\u9020\u6570\u636e\u811a\u672c\u3001\u5bf9\u7167\u8868\u6a21\u677f\u3001\u56de\u8bfb\u65ad\u8a00）：<\/p>\n huang_jianhua0101\/examples – Gitee.com<\/p>\n \u5173\u4e8e\u6211<\/h3>\n\u5728\u5b9e\u9a8c\u5ba4\u4e00\u7ebf\u5f85\u4e86 13 \u5e74（9 \u5e74\u5236\u836f + 4 \u5e74\u7b2c\u4e09\u65b9\u68c0\u6d4b），\u505a\u7684\u4e00\u76f4\u662f\u5b9e\u9a8c\u5ba4\u4fe1\u606f\u5316\u3002\u505a\u8fc7 STARLIMS \u7684\u7532\u65b9 PM\u2014\u2014\u4e00\u671f\u3001\u4e8c\u671f\u4e24\u8f6e\u4e0a\u7ebf\u90fd\u7531\u6211\u4e3b\u5bfc（\u62db\u6807\u5230 3Q \u9a8c\u8bc1\u5230\u9a8c\u6536\u5168\u6d41\u7a0b）；\u4e5f\u5728\u7cfb\u7edf\u4e0a\u81ea\u5df1\u505a\u8fc7\u4e8c\u6b21\u5f00\u53d1\u2014\u2014\u628a\u7eb8\u8d28\u7684\u8d26\u53f7\u7533\u8bf7\u6d41\u7a0b\u642c\u5230\u7ebf\u4e0a\u8dd1；\u5728 STARLIMS \u4e4b\u524d\u8fd8\u6709 6 \u5e74\u591a CS \u67b6\u6784 LIMS \u7684\u4f7f\u7528\u4e0e\u8fd0\u7ef4\u7ecf\u9a8c（\u5176\u4e2d\u4e00\u6bb5\u7ecf Citrix \u8fdc\u7a0b\u63a5\u5165）\u3002\u73b0\u5728\u4e13\u505a\u5b9e\u9a8c\u5ba4\u91cc\u90a3\u4e9b\u91cd\u590d\u52b3\u52a8：\u62a5\u8868\u81ea\u52a8\u751f\u6210\u3001\u4eea\u5668\u6570\u636e\u5bf9\u63a5\u3001\u5408\u89c4\u6587\u6863\u6279\u91cf\u5904\u7406\u3002<\/p>\n \u672c\u79d1\u7269\u7406\u5316\u5b66\u3001\u7855\u58eb\u8ba1\u7b97\u673a\u5316\u5b66，\u65e2\u542c\u5f97\u61c2 QA \u8bf4\u7684\u53d8\u66f4\u63a7\u5236，\u4e5f\u770b\u5f97\u61c2\u4eea\u5668\u5bfc\u51fa\u7684\u539f\u59cb\u6570\u636e\u957f\u4ec0\u4e48\u6837\u3002SOP\u3001\u504f\u5dee\u3001OOS\u3001\u6837\u672c\u6d41\u8f6c\u8fd9\u4e9b\u8bcd，\u4e0d\u7528\u4f60\u89e3\u91ca\u3002<\/p>\n \u73b0\u5728\u4e3b\u8981\u505a\u8fd9\u51e0\u7c7b： – \u68c0\u9a8c\u62a5\u544a\u4e0e\u53f0\u8d26\u6279\u91cf\u751f\u6210：\u6a21\u677f\u4e0d\u52a8，\u6570\u636e\u81ea\u52a8\u586b，\u683c\u5f0f\u4e00\u6b65\u4e0d\u9519 – \u4eea\u5668\u6570\u636e\u5bf9\u63a5：\u8272\u8c31\u3001\u5149\u8c31\u3001\u9176\u6807\u4eea\u5bfc\u51fa\u7684\u539f\u59cb\u6587\u4ef6，\u89e3\u6790\u3001\u6e05\u6d17\u3001\u5165\u5e93\u3001\u8f6c\u6210\u62a5\u8868 – \u5408\u89c4\u6587\u6863\u81ea\u52a8\u5316：SOP\u3001\u9a8c\u8bc1\u65b9\u6848\u3001\u6279\u8bb0\u5f55\u8fd9\u7c7b\u91cd\u590d\u6587\u6863\u7684\u6279\u91cf\u751f\u6210\u4e0e\u6838\u5bf9 – \u6570\u636e\u5b8c\u6574\u6027\u6838\u67e5：\u6309 ALCOA+ \u9010\u6761\u6838\u5bf9\u539f\u59cb\u6570\u636e\u4e0e\u8bb0\u5f55\u662f\u5426\u5bf9\u5f97\u4e0a<\/p>\n \u624b\u91cc\u6709\u8fd9\u7c7b\u6d3b\u513f\u5361\u7740，\u6216\u8005\u53ea\u662f\u60f3\u95ee\u95ee\u80fd\u4e0d\u80fd\u81ea\u52a8\u5316，\u90fd\u6b22\u8fce\u8bc4\u8bba\u533a\u804a，\u5148\u628a\u95ee\u9898\u8bf4\u6e05\u695a\u518d\u8c08\u600e\u4e48\u505a\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u8272\u8c31\u5de5\u4f5c\u7ad9\u8dd1\u5b8c\u4e00\u6279\u6837，\u5bfc\u51fa\u4e00\u5806\u7ed3\u679c\u6587\u4ef6；\u8981\u8fdb LIMS，\u7b2c\u4e00\u6b65\u5c31\u5361\u5728\u300c\u8fd9\u4e2a\u6587\u4ef6\u3001\u8fd9\u4e00\u884c\u662f\u8c01\u7684\u6837\u54c1\u300d\u3002\u6587\u4ef6\u540d\u6709\u7684\u5e26\u6837\u54c1\u53f7，\u6709\u7684\u53ea\u6709\u65f6\u95f4\u6233，\u6837\u54c1\u53f7\u85cf\u5728\u300c\u8fdb\u6837\u74f6\u4f4d\u300d\u5217\u91cc，\u8fd8\u5f97\u5bf9\u7740\u53f0\u8d26\u4e00\u6761\u6761\u7ffb\u3002\u4e00\u5929\u51e0\u5341\u4e2a\u6587\u4ef6，\u624b\u5de5\u5bf9\u4e0b\u6765\u53c8\u6162\u53c8\u5bb9\u6613\u9519\u3002
\n\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898，Python \u63d0\u4f9b\u4e86 pandas \u548c openpyxl \u8fd9\u5957\u7ec4\u5408：\u8bfb\u6587\u4ef6\u3001\u6309\u5217\u540d\u53d6\u6570\u3001\u6309\u8868\u5f52\u5806\u3001\u5199\u51fa E<\/p>\n","protected":false},"author":2,"featured_media":115233,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[13100,13099,722,81,190],"topic":[],"class_list":["post-115234","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-lims","tag-13099","tag-ecmascript","tag-python","tag-190"],"yoast_head":"\n \u4eea\u5668\u6570\u636e\u8981\u5bf9\u63a5\u8fdb LIMS\uff0c\u7ed3\u679c\u6587\u4ef6\u548c\u6837\u54c1\u53f7\u600e\u4e48\u81ea\u52a8\u5bf9\u4e0a - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/115234.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4eea\u5668\u6570\u636e\u8981\u5bf9\u63a5\u8fdb LIMS\uff0c\u7ed3\u679c\u6587\u4ef6\u548c\u6837\u54c1\u53f7\u600e\u4e48\u81ea\u52a8\u5bf9\u4e0a - 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