Pyinstaller 生成的可执行文件变为空白并崩溃

Question

我对这一切都很陌生，但我有一个脚本，为了让事情变得更简单，我想让它成为一个可执行文件，所以我安装了 pyintaller 并使用“--onefile”命令运行它......当我得到可执行文件它只打开一个空白的控制台窗口，在我什至可以读取上面显示的内容之前，它就关闭了

我将保留整个脚本，因为它不是那么大，它有很多解释，因为主要目标是将其提供给其他人，以便他们可以在没有太多知识的情况下使用它，这是使其成为可执行文件如此重要的原因之一:

from rdkit import Chem
from mordred import Calculator, descriptors
import pandas as pd
import csv
import datetime
import time
import os


# start date
P = datetime.datetime.now()

# flair
print("----------------------------------------------------------------")
print("                                                                ")
print("                             START                              ")
print("                                                                ")
print("----------------------------------------------------------------")

# directions
print("                                     WARNING!!!                                   ")
print(" ")
print("- ONLY PUT THE NAMES OF THE FILES, EXTENSIONS ARE NOT NESESARY.")
print(" ")
print("- MAKE SURE THAT THE FILE NEEDED IS IN THE SAME DIRECTORY AS THE SCRIPT.")
print(" ")
print("- THE PROGRAM DIFERENTIATES BETWEEN .CSV AND .XLSX FILES, THE INPUT IS IN .XLSX AND THE")
print("  OUTPUT IS IN .CSV")
print("  YOU MUST BE CAREFULL SINCE IT IS POSIBLE TO END WITH TWO FILES WITH THE SAME NAME")
print("  BUT DIFERENT EXTENSIONS (YOUR_FILE.XLXS AND YOUR_FILE.CSV)")
print(" ")
# imputs and otputs

print(" ")
inputfile = input("Enter filename (can only be an excel file): ")
column = input("Name of column where aminoacids sequences are: ")
outputfile = input("Name of resulting .csv file: ")
print(" ")

# verification

test = f"{outputfile}.csv"

def file_exists(test):
    return os.path.isfile(test)

# Check if the file already exists in the directory
if file_exists(test):
    print("Warning: File '{}' already exists in the directory.".format(outputfile))
    while True:
        choice = input("Do you want to rename (1), stop the program (2), or continue with the same name (3)? (1/2/3): ").lower()
        if choice == '1':
            new_filename = input("Enter the new filename: ")
            test2 = f"{new_filename}.csv"
            if file_exists(test2):
                print("Error: File '{}' already exists in the directory.".format(new_filename))
            else:
                os.rename(test, test2)
                print("File '{}' renamed to '{}'.".format(outputfile, new_filename))
                outputfile = new_filename
                break
        elif choice == '2':
            print("Program stopped.")
            quit()
        elif choice == '3':
            print("Continuing with the same filename '{}'...".format(outputfile))
            break
        else:
            print("Invalid choice. Please enter rename, stop or continue; '1', '2', or '3'.")

# Define a mapping between amino acids and their SMILES representations
amino_acid_smiles = {
    'A': 'CC(C)(C)C(=O)N',
    'R': 'N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](CCCNC(N)=N)C(=O)NCC',
    'N': 'NC(CO)C(=O)O',
    'D': 'NC(CC(=O)O)C(=O)O',
    'C': 'C(C(=O)O)N',
    'Q': 'NC(CCC(N)=O)C(=O)O',
    'E': 'NC(CC(=O)O)C(=O)O',
    'G': 'NCC(=O)O',
    'H': 'NC1=NC=CC=C1CCC(=O)N',
    'I': 'CC(C)CC(C(=O)O)N',
    'L': 'CC(C)CC(C(=O)O)N',
    'K': 'NCCCC[C@H](N)C(=O)O',
    'M': 'CC(C)C[C@H](N)C(=O)O',
    'F': 'c1ccc(cc1)C[C@@H](C(=O)O)N',
    'P': 'C1CC(NC1)C(=O)O',
    'S': 'C(CO)N',
    'T': 'CC(C(O)C)N',
    'W': 'C1=C(NC=N1)C[C@@H](C(=O)O)N',
    'Y': 'c1ccc(cc1)C[C@H](C(=O)O)N',
    'V': 'CC(C)C(C(=O)O)N'
}

# Function to convert an amino acid sequence to a SMILES sequence
def sequence_to_smiles(sequence):
    smiles_sequence = ''
    for aa in sequence:
        if aa in amino_acid_smiles:
            smiles_sequence += amino_acid_smiles[aa]
    return smiles_sequence

# INICIATE CALCULATOR
calc = Calculator(descriptors, ignore_3D=True)

def calculate_descriptors(smiles_list):
    results = []
    for smiles in smiles_list:
        mol = Chem.MolFromSmiles(smiles)
        if mol:
            # Calculate descriptors
            result = calc(mol)
            results.append(result)
        else:
            results.append(None)

    return results

if __name__ == "__main__":
    # READ SEQUENCES FROM EXCEL FILE
    file_path = f'{inputfile}.xlsx'
    column_name = f'{column}'  # Specify the column name where the sequences are located
    df = pd.read_excel(file_path)
    sequence_list = df[column_name].tolist()

    # CONVERT AA TO SMILES
    smiles_list = [sequence_to_smiles(sequence) for sequence in sequence_list]

    # CalCULATE DESCRIPTORS
    descriptor_results = calculate_descriptors(smiles_list)

    # save to csv
    output_file = f'{outputfile}.csv'
    with open(output_file, 'w', newline='') as csvfile:
        csvwriter = csv.writer(csvfile)

        # NAMING THE COLUMNS
        header = ['Sequence', 'SMILES'] + list(calc.descriptors)  # Convert tuple to list
        csvwriter.writerow(header)

        # PUTING THE DATA
        for sequence, smiles, result in zip(sequence_list, smiles_list, descriptor_results):
            if result is not None:
                # CONVERT TO LIST
                result_list = list(result)
                csvwriter.writerow([sequence, smiles] + result_list)
            else:
                csvwriter.writerow([sequence, smiles] + ['Error: Invalid SMILES'])

    # record finishing time
    Q = datetime.datetime.now()

    # finishing statements
    print("----------------------------------------------------------------")
    print(" ")
    print("                             FINISH                             ")
    print(" ")
    print("started at", P, "finished at", Q)
    print(f"Descriptor results saved to {output_file}")
    print(" ")
    print("----------------------------------------------------------------")

Answer 1

这个可以解决您的疑问吗？

如果这不能解决问题，我认为问题在于

if __name__ == "__main__":

存在检查以查看文件是直接作为脚本运行还是作为模块运行。但由于我们正在执行二进制文件，因此可能会导致错误。

检查潜在错误语句的另一种方法是添加

time.sleep(10)

行，以便控制台保持打开状态以供您查看错误是什么（不要忘记

import time

）