146 lines
5.3 KiB
Python
146 lines
5.3 KiB
Python
import os
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import glob
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import re
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# exact infos from the files
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def extract_info(file_path):
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"""提取关键信息"""
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area_info = []
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sram_timing = []
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error_msgs = []
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with open(file_path, 'r') as f:
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lines = f.readlines()
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in_area = False
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for i, line in enumerate(lines):
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# 提取Area信息块
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if line.strip().startswith("1. Area"):
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area_info = lines[i:i+8]
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break # 每个文件只提取第一个Area块
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# 提取时序信息（直接搜索tcyc到tbwh）
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tcyc_line = next((i for i, line in enumerate(lines) if line.strip().startswith("2.2 SRAM timing")), None)
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tbwh_line = next((i for i, line in enumerate(lines) if line.strip().startswith("tbwh")), None)
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if tbwh_line is None:
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tbwh_line = tcyc_line + 10
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if tcyc_line is not None and tbwh_line is not None:
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sram_timing = lines[tcyc_line+2:tbwh_line+1]
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else:
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print(f"Warning: Timing info not found in {file_path}")
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# 新增数值提取逻辑
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tcyc_value = None
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tcd_value = None
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# 提取时序值
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for line in lines:
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line_clean = line.strip()
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# 提取tcyc值
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if line_clean.startswith('tcyc'):
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parts = line_clean.split()
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if len(parts) >= 2:
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val_str = parts[1]
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print(f"Processing tcyc value: {val_str}")
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try:
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tcyc_value = float(val_str)
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if tcyc_value > 0.8:
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error_msgs.append(f"Error: tcyc OVER ({tcyc_value}ns > 0.8ns)")
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except ValueError:
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pass
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# 提取tcd值
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elif line_clean.startswith('tcd'):
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parts = line_clean.split()
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if len(parts) >= 2:
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val_str = parts[1]
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print(f"Processing tcyc value: {val_str}")
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try:
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tcd_value = float(val_str)
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if tcd_value > 0.6:
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error_msgs.append(f"Error: tcd OVER ({tcd_value}ns > 0.6ns)")
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except ValueError:
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pass
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# get the area value
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area_value = 'N/A'
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if len(area_info) >= 4:
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area_line = area_info[3].strip().split()
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if len(area_line) >= 3:
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area_value = area_line[2]
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tcyc_str = f"{tcyc_value:.4f}" if tcyc_value else "N/A"
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tcd_str = f"{tcd_value:.4f}" if tcd_value else "N/A"
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conclusion = f"[Conclusion]\nArea: {area_value} tcyc: {tcyc_str} tcd: {tcd_str}"
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return area_info, sram_timing, error_msgs, conclusion
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# write info into files
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def write_info():
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output = []
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# 递归所有子目录
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for root, _, files in os.walk('.'):
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# 匹配目标文件模式
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for ds_file in glob.glob(os.path.join(root, '*_ssgnp0p72v125c.ds')):
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print(f"Processing: {ds_file}")
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area, timing, error_msgs, conclusion = extract_info(ds_file)
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output.append(f"[DS]======== {os.path.basename(ds_file)} ==========\n")
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output.append("[Area Info]\n")
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output.extend(area)
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output.append("[Timing Info]\n")
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output.extend(timing)
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output.append("\n")
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output.append(conclusion + "\n")
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if error_msgs:
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output.append("\n")
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print (f"Errors found in {ds_file}: {error_msgs}")
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output.extend([msg + "\n" for msg in error_msgs])
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output.append("\n" + "="*80 + "\n")
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# Finally
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output.append("\n")
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# 写入结果文件
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with open('area_and_timing.txt', 'w') as f:
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f.writelines(output)
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# parse the area_and_timig.txt file
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def parse_summary():
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spec_dict = {}
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processed_ds = set() # 新增：用于跟踪已处理的DS文件
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with open('area_and_timing.txt', 'r') as f:
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current_spec = None
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current_ds = None
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for line in f:
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if line.startswith('[DS]'):
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ds_name = line.split('========')[1].strip().split()[0]
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if match := re.search(r'(\d+x\d+)', ds_name):
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current_spec = match.group(1)
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current_ds = ds_name
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else:
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current_spec = None
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current_ds = None
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elif line.startswith('Area:'):
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if current_spec and current_ds:
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# 新增去重判断
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if current_ds not in processed_ds:
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new_line = f"{line.strip()} From {current_ds}"
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spec_dict.setdefault(current_spec, []).append(new_line)
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processed_ds.add(current_ds) # 记录已处理文件
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# ... 保持后续写入代码不变 ...
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# 追加汇总信息到文件
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with open('area_and_timing.txt', 'a') as f:
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f.write("\n\n[Summary]")
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for spec, values in spec_dict.items():
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f.write(f"\n== {spec} ==\n")
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f.write('\n'.join(values))
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if __name__ == "__main__":
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write_info()
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parse_summary() # 新增汇总解析
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