update to env path

.gitignore

@@ -15,4 +15,5 @@ fixed/
 *.log
 test/
 fixed/
-nohup.out
+nohup.out
+pdb_test

md_gromacs.sh

@@ -261,7 +261,7 @@ gmx_mpi grompp -f ${MDRUN_NAME}.mdp -c npt.gro -t npt.cpt -p topol.top -o ${TPR_
 
 # Run the simulation
 gmx_mpi mdrun -deffnm ${MDRUN_NAME}
-
+# mpirun -np $(ls | egrep "Scaled[0-9]+$" | wc -l) gmx_mpi mdrun -v --deffnm md -cpi Scaled.cpt -multidir $(ls -v | egrep "Scaled[0-9]+$") -plumed plumed.dat -hrex -replex 1000 >& run_$(date "+%H%M%S_%d%m%Y").log || { echo "mdrun failed at line ${LINENO} "; exit -1; }
 # extra ndx file , select protein
 echo -e "1\nq" | gmx_mpi make_ndx -f ${MDRUN_NAME}.gro -o ${NDX_FILE}
 # echo -e "1\nq" | gmx_mpi make_ndx -f md.gro -o index.ndx

runner.py

@@ -14,6 +14,7 @@ import logging
 from dataclasses import dataclass, field
 from pathlib import Path
 import subprocess
+import multiprocessing
 import shutil
 import os
 
@@ -22,6 +23,7 @@ logging.basicConfig(level=logging.INFO, filename='simulation_log.log', filemode=
                     format='%(asctime)s - %(levelname)s - %(message)s')
 logger = logging.getLogger()
 
+@dataclass
 class SimulationRunner:
     pdb_file: Path
     nsteps: int
@@ -29,7 +31,8 @@ class SimulationRunner:
     base_folder: Path
     bash_script: Path = None  # Bash脚本路径作为可选参数
     gmxrc_path: Path = None  # GMXRC文件路径作为可选参数
-    temp_folder: Path  # 用于存储临时数据和结果数据的路径(轨迹数据处理中间数据等)
+    gpu_id: int = None
+    temp_folder: Path = field(init=False)  # 用于存储临时数据和结果数据的路径(轨迹数据处理中间数据等)
     runner_folder: Path = field(init=False)
     tpr_file: Path = field(init=False)
     xtc_file: Path = field(init=False)
@@ -44,11 +47,15 @@ class SimulationRunner:
         self.temp_folder.mkdir(exist_ok=True)
         self.bash_script = self.bash_script.absolute() if self.bash_script else Path(__file__).resolve().parent / "md_gromacs.sh"
         # 设置 GMXRC_PATH 环境变量
-        self.gmxrc_path = self.gmxrc_path or Path("/home/lingyuzeng/software/gmx2023.2/bin/GMXRC")
+        self.gmxrc_path = self.gmxrc_path
 
     def copy_pdb(self):
         shutil.copy(self.pdb_file, self.runner_folder / self.pdb_file.name)
 
+    def set_gpu(self, gpu_id):
+        """设置要使用的GPU。"""
+        self.gpu_id = gpu_id
+
     @staticmethod
     def read_ndx_file(filename):
         ndx_dict = {}
@@ -67,11 +74,9 @@ class SimulationRunner:
 
         return ndx_dict
 
-    @staticmethod
-echo "Protein" | gmx_mpi trjconv -dt {extract_interval} -s {tpr_file} -f {xtc_file} -n {temp_folder}/tarj_show.ndx -pbc mol -o {temp_folder}/temp.xtc
-
     # 新增处理轨迹的方法
     def process_trajectory(self, extract_interval):
+        # echo "Protein" | gmx_mpi trjconv -dt {extract_interval} -s {tpr_file} -f {xtc_file} -n {temp_folder}/tarj_show.ndx -pbc mol -o {temp_folder}/temp.xtc
         # 根据提供的脚本逻辑读取和保存索引文件
         ndx_dict = self.read_ndx_file(f'{self.runner_folder}/index.ndx')
         
@@ -101,12 +106,15 @@ echo "Protein" | gmx_mpi trjconv -dt {extract_interval} -s {tpr_file} -f {xtc_fi
         result = None
         try:
             env_vars = {
-                "NAME": self.pdb_file.stem,  # 首先将 NAME 设置为文件的 stem
+                "NAME": self.pdb_file.stem,
                 "NSTEPS": str(self.nsteps),
                 "DT": str(self.dt),
-                "GMXRC_PATH": str(self.gmxrc_path)
+                "GMXRC_PATH": str(self.gmxrc_path),
+                "PATH": os.environ.get("PATH", ""),
+                "LD_LIBRARY_PATH": os.environ.get("LD_LIBRARY_PATH", ""),
+                "HOME": os.environ["HOME"],
+                "CUDA_VISIBLE_DEVICES": str(self.gpu_id) if self.gpu_id is not None else ""
             }
-            env_vars["HOME"] = os.environ["HOME"]
             logger.info(f"pdb_file: {self.pdb_file.name}")
             logger.info(f"Executing script at: {self.bash_script}")
             result = subprocess.run(["bash", str(self.bash_script)], env=env_vars, cwd=self.runner_folder,
@@ -130,25 +138,59 @@ echo "Protein" | gmx_mpi trjconv -dt {extract_interval} -s {tpr_file} -f {xtc_fi
         else:
             logger.error(f"Simulation for {self.pdb_file.name} failed in {duration:.2f} seconds.")
 
+# def main(simulation_steps, time_step, pdb_folder_path, bash_script_path, gmxrc_path):
+#     pdb_folder = Path(pdb_folder_path).resolve()
+#     for pdb_file in pdb_folder.glob("*.pdb"):
+#         runner = SimulationRunner(pdb_file, simulation_steps, time_step, pdb_folder, bash_script_path, gmxrc_path)
+#         runner.copy_pdb()
+#         logger.info(f"Running simulation for {pdb_file.name} in {runner.runner_folder}...")
+#         runner.run_simulation()
+#         logger.info(f"Finished simulation for {pdb_file.name}.")
+#         runner.process_trajectory(extract_interval=100)  # 例如，每100ps抽取一次轨迹
+#         logger.info(f"Finished processing trajectory for {pdb_file.name}. per 100ps")
+def detect_gpus():
+    """检测系统上的GPU数量。"""
+    try:
+        output = subprocess.check_output("nvidia-smi -L", shell=True).decode('utf-8')
+        return len(output.strip().split('\n'))
+    except subprocess.CalledProcessError:
+        return 0
+
+def run_simulation_task(pdb_file, simulation_steps, time_step, pdb_folder, bash_script_path, gmxrc_path, gpu_id):
+    runner = SimulationRunner(pdb_file, simulation_steps, time_step, pdb_folder, bash_script_path, gmxrc_path)
+    runner.set_gpu(gpu_id)  # 设置要使用的GPU
+    runner.copy_pdb()
+    logger.info(f"Running simulation for {pdb_file.name} on GPU {gpu_id}...")
+    runner.run_simulation()
+    runner.process_trajectory(extract_interval=100)
+    logger.info(f"Finished processing trajectory for {pdb_file.name} on GPU {gpu_id}.")
+
 def main(simulation_steps, time_step, pdb_folder_path, bash_script_path, gmxrc_path):
     pdb_folder = Path(pdb_folder_path).resolve()
-    for pdb_file in pdb_folder.glob("*.pdb"):
-        runner = SimulationRunner(pdb_file, simulation_steps, time_step, pdb_folder, bash_script_path, gmxrc_path)
-        runner.copy_pdb()
-        logger.info(f"Running simulation for {pdb_file.name} in {runner.runner_folder}...")
-        runner.run_simulation()
-        logger.info(f"Finished simulation for {pdb_file.name}.")
-        runner.process_trajectory(extract_interval=100)  # 例如，每100ps抽取一次轨迹
-        logger.info(f"Finished processing trajectory for {pdb_file.name}. per 100ps")
+    pdb_files = list(pdb_folder.glob("*.pdb"))
+    num_gpus = detect_gpus()
+    
+    if num_gpus == 0:
+        logger.error("No GPUs detected, exiting.")
+        return
+
+    # 创建一个进程池，每个GPU运行两个任务
+    with multiprocessing.Pool(processes=num_gpus * 2) as pool:
+        for i, pdb_file in enumerate(pdb_files):
+            gpu_id = i % num_gpus  # 分配GPU
+            pool.apply_async(run_simulation_task, (pdb_file, simulation_steps, time_step, pdb_folder, bash_script_path, gmxrc_path, gpu_id))
+        
+        pool.close()
+        pool.join()
 
 if __name__ == "__main__":
     NSTEPS = 50000000  # Example: 50000000 steps
     DT = 0.002  # Example: 2 fs time step
-    PDB_FOLDER_PATH = Path("./pdb_files")  # Assuming the PDB files are in a folder named 'pdb_files' in the current directory
+    PDB_FOLDER_PATH = Path("./pdb_test")  # Assuming the PDB files are in a folder named 'pdb_files' in the current directory
     # 传入自定义的bash脚本路径
     CUSTOM_BASH_SCRIPT_PATH = Path('md_gromacs.sh')
     # 传入 GMXRC 文件的路径
-    GMXRC_PATH = Path('/root/software/gmx2023.2/bin/GMXRC')
+    GMXRC_PATH = Path('/usr/local/gromacs-2021.4-plumed-2.8.0/bin/GMXRC')
     main(NSTEPS, DT, PDB_FOLDER_PATH, CUSTOM_BASH_SCRIPT_PATH, GMXRC_PATH)