import re
import matplotlib.pyplot as plt

log_file = '/home/hui007/rna/first_stage/log/train_20250811_2359_totalbatchsize256/train_20250811_2359.log'  # 替换为你的log文件名
steps = []
contrast_losses = []
denoising_losses = []
avg_losses = []

with open(log_file, 'r') as f:
    for line in f:
        match = re.search(
            r'Step: (\d+), avg_contrast_loss: ([-\d.]+), avg_denoising_loss: ([-\d.]+), Avg Loss: ([-\d.]+)',
            line
        )
        if match:
            step = int(match.group(1))
            contrast_loss = float(match.group(2))
            denoising_loss = float(match.group(3))
            avg_loss = float(match.group(4))

            steps.append(step)
            contrast_losses.append(contrast_loss)
            denoising_losses.append(denoising_loss)
            avg_losses.append(avg_loss)

# 画图
plt.figure(figsize=(8, 5))
plt.plot(steps, contrast_losses, label='Avg Contrast Loss')
plt.plot(steps, denoising_losses, label='Avg Denoising Loss')
plt.plot(steps, avg_losses, label='Avg Loss')

plt.xlabel('Step')
plt.ylabel('Loss')
plt.title('Loss over Training Steps')
plt.grid(True)
plt.legend()
plt.tight_layout()

# 保存为 PNG 文件
plt.savefig('/home/hui007/rna/first_stage/figures/loss_vs_step_v3.png', dpi=300)
plt.close()

# log_file = '/home/hui007/rna/first_stage/second_stage.log'  # 替换为你的log文件名
# steps = []
# avg_nce_losses = []
# avg_mlm_losses = []
# avg_losses = []

# with open(log_file, 'r') as f:
#     for line in f:
#         match = re.search(
#             r'Step: (\d+), avg_nce_loss: ([-\d.]+), avg_mlm_loss: ([-\d.]+), Avg Loss: ([-\d.]+)',
#             line
#         )
#         if match:
#             step = int(match.group(1))
#             avg_nce_loss = float(match.group(2))
#             avg_mlm_loss = float(match.group(3))
#             avg_loss = float(match.group(4))

#             steps.append(step)
#             avg_nce_losses.append(avg_nce_loss)
#             avg_mlm_losses.append(avg_mlm_loss)
#             avg_losses.append(avg_loss)

# # 画图
# plt.figure(figsize=(8, 5))
# plt.plot(steps, avg_nce_losses, label='Avg Contrast Loss')
# plt.plot(steps, avg_mlm_losses, label='Avg MLM Loss')
# plt.plot(steps, avg_losses, label='Avg Loss')

# plt.xlabel('Step')
# plt.ylabel('Loss')
# plt.title('Loss over Training Steps')
# plt.grid(True)
# plt.legend()
# plt.tight_layout()

# # 保存为 PNG 文件
# plt.savefig('/home/hui007/rna/first_stage/figures/loss_vs_step_2nd.png', dpi=300)
# plt.close()