Delete msp_to_mgf.py
Browse files- msp_to_mgf.py +0 -178
msp_to_mgf.py
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# -*- coding: utf-8 -*-
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import re
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from pathlib import Path
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from openpyxl import Workbook
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# =========================================================
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# 1) 路径配置:改这里即可
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# INPUT_DIR : 你截图里的 extracted 目录(存放 .msp)
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# OUTPUT_DIR: 输出 .mgf 的目录(会自动创建)
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# EXCEL_PATH: 输出统计表
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# =========================================================
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INPUT_DIR = Path("/Users/guanmumu/Desktop/Data/Rat/extracted")
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OUTPUT_DIR = Path("/Users/guanmumu/Desktop/Data/Rat/mgf")
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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EXCEL_PATH = OUTPUT_DIR / "msp_to_mgf_summary.xlsx"
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# 进度打印(大文件可调)
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PROGRESS_EVERY_SPECTRA = 50000
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# =========================================================
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# 2) MSP 字段解析函数(保持和你单文件脚本一致)
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# =========================================================
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def parse_sequence_from_name(name_val: str) -> str:
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# Name: SEQUENCE/charge_...
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return name_val.split("/", 1)[0].strip()
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def parse_charge_from_name(name_val: str):
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m = re.search(r"/(\d+)", name_val)
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return int(m.group(1)) if m else None
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def parse_mz_exact_from_comment(line: str):
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# Comment: ... Mz_exact=536.5844 ...
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m = re.search(r"\bMz_exact=([0-9]*\.?[0-9]+)", line)
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return float(m.group(1)) if m else None
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# =========================================================
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# 3) 转换单个 MSP -> MGF,并返回统计信息
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# - Spectra count: Num peaks 次数
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# - Unique peptides: 对 Name: 的 seq 去重(与你单文件脚本一致)
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# =========================================================
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def convert_one_msp(msp_path: Path, mgf_path: Path):
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spectra_count = 0
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unique_peptides = set()
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with msp_path.open("r", encoding="utf-8", errors="replace") as fin, \
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mgf_path.open("w", encoding="utf-8") as fout:
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name_val = None
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seq = None
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charge = None
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mw = None # 你要求用作 PEPMASS
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precursor_mz = None # 仅用于辅助记录(Mz_exact)
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for line in fin:
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line = line.rstrip("\n")
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if line.startswith("Name:"):
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name_val = line.split("Name:", 1)[1].strip()
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seq = parse_sequence_from_name(name_val)
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charge = parse_charge_from_name(name_val)
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unique_peptides.add(seq)
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elif line.startswith("MW:"):
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try:
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mw = float(line.split("MW:", 1)[1].strip())
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except Exception:
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mw = None
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elif line.startswith("Comment:"):
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precursor_mz = parse_mz_exact_from_comment(line)
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elif line.startswith("Num peaks:"):
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num_peaks = int(line.split("Num peaks:", 1)[1].strip())
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spectra_count += 1
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# ===== 写一个 MGF block =====
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fout.write("BEGIN IONS\n")
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if seq is not None and charge is not None:
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fout.write(f"TITLE={seq}/z{charge}\n")
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elif seq is not None:
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fout.write(f"TITLE={seq}\n")
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else:
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fout.write(f"TITLE=Spectrum_{spectra_count}\n")
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# 你要求:PEPMASS = MW(不做换算)
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if mw is not None:
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fout.write(f"PEPMASS={mw:.6f}\n")
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if charge is not None:
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fout.write(f"CHARGE={charge}+\n")
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# 自定义字段
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if seq is not None:
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fout.write(f"SEQ={seq}\n")
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# 可选:记录 Mz_exact(不影响你要求)
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if precursor_mz is not None:
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fout.write(f"PRECURSOR_MZ={precursor_mz:.6f}\n")
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# 峰:每行 "m/z intensity"
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for _ in range(num_peaks):
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peak_line = next(fin).strip()
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if not peak_line:
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continue
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parts = peak_line.split()
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if len(parts) >= 2:
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fout.write(f"{parts[0]} {parts[1]}\n")
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fout.write("END IONS\n\n")
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# reset 当前谱状态(与你单文件脚本一致)
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name_val = None
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seq = None
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charge = None
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mw = None
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precursor_mz = None
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if spectra_count % PROGRESS_EVERY_SPECTRA == 0:
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print(f" ... {msp_path.name}: spectra={spectra_count}")
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return spectra_count, len(unique_peptides)
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# =========================================================
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# 4) 写 Excel(3列:文件名 / Spectra count / Unique peptides)
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# =========================================================
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def write_excel(excel_path: Path, rows):
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wb = Workbook()
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ws = wb.active
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ws.title = "summary"
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for r in rows:
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ws.append(list(r))
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ws.column_dimensions["A"].width = 55
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ws.column_dimensions["B"].width = 18
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ws.column_dimensions["C"].width = 20
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wb.save(excel_path)
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# =========================================================
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# 5) 批量处理
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# =========================================================
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def main():
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if not INPUT_DIR.exists():
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raise FileNotFoundError(f"INPUT_DIR not found: {INPUT_DIR}")
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msp_files = sorted(INPUT_DIR.glob("*.msp"))
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if not msp_files:
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print(f"No .msp files found in: {INPUT_DIR}")
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return
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print(f"Input dir : {INPUT_DIR}")
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print(f"Output dir: {OUTPUT_DIR}")
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print(f"Found {len(msp_files)} MSP files.")
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rows = [("file_name", "spectra_count", "unique_peptides")]
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for idx, msp_path in enumerate(msp_files, 1):
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mgf_path = OUTPUT_DIR / (msp_path.stem + ".mgf")
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print(f"\n[{idx}/{len(msp_files)}] Converting: {msp_path.name}")
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spectra_count, unique_pep = convert_one_msp(msp_path, mgf_path)
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print(f" -> MGF: {mgf_path.name}")
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print(f" Spectra count : {spectra_count}")
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print(f" Unique peptides : {unique_pep}")
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rows.append((msp_path.name, spectra_count, unique_pep))
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write_excel(EXCEL_PATH, rows)
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print("\n================= DONE =================")
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print(f"Excel summary: {EXCEL_PATH}")
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if __name__ == "__main__":
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main()
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