Merge branch 'dev' of https://github.com/MaiM-with-u/MaiBot into dev

scripts/info_extraction.py

@@ -4,11 +4,13 @@ import signal
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from threading import Lock, Event
 import sys
+import glob
+import datetime
 
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 # 添加项目根目录到 sys.path
 
-import tqdm
+from rich.progress import Progress  # 替换为 rich 进度条
 
 from src.common.logger import get_module_logger
 from src.plugins.knowledge.src.lpmmconfig import global_config
@@ -16,10 +18,31 @@ from src.plugins.knowledge.src.ie_process import info_extract_from_str
 from src.plugins.knowledge.src.llm_client import LLMClient
 from src.plugins.knowledge.src.open_ie import OpenIE
 from src.plugins.knowledge.src.raw_processing import load_raw_data
+from rich.progress import (
+    BarColumn,
+    TimeElapsedColumn,
+    TimeRemainingColumn,
+    TaskProgressColumn,
+    MofNCompleteColumn,
+    SpinnerColumn,
+    TextColumn,
+)
 
 logger = get_module_logger("LPMM知识库-信息提取")
 
-TEMP_DIR = "./temp"
+
+ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
+TEMP_DIR = os.path.join(ROOT_PATH, "temp")
+IMPORTED_DATA_PATH = (
+    global_config["persistence"]["raw_data_path"]
+    if global_config["persistence"]["raw_data_path"]
+    else os.path.join(ROOT_PATH, "data/imported_lpmm_data")
+)
+OPENIE_OUTPUT_DIR = (
+    global_config["persistence"]["openie_data_path"]
+    if global_config["persistence"]["openie_data_path"]
+    else os.path.join(ROOT_PATH, "data/openie")
+)
 
 # 创建一个线程安全的锁，用于保护文件操作和共享数据
 file_lock = Lock()
@@ -70,8 +93,7 @@ def process_single_text(pg_hash, raw_data, llm_client_list):
                 # 如果保存失败，确保不会留下损坏的文件
                 if os.path.exists(temp_file_path):
                     os.remove(temp_file_path)
-                # 设置shutdown_event以终止程序
-                shutdown_event.set()
+                sys.exit(0)
                 return None, pg_hash
         return doc_item, None
 
@@ -79,7 +101,7 @@ def process_single_text(pg_hash, raw_data, llm_client_list):
 def signal_handler(_signum, _frame):
     """处理Ctrl+C信号"""
     logger.info("\n接收到中断信号，正在优雅地关闭程序...")
-    shutdown_event.set()
+    sys.exit(0)
 
 
 def main():
@@ -110,33 +132,61 @@ def main():
             global_config["llm_providers"][key]["api_key"],
         )
 
-    logger.info("正在加载原始数据")
-    sha256_list, raw_datas = load_raw_data()
-    logger.info("原始数据加载完成\n")
+    # 检查 openie 输出目录
+    if not os.path.exists(OPENIE_OUTPUT_DIR):
+        os.makedirs(OPENIE_OUTPUT_DIR)
+        logger.info(f"已创建输出目录: {OPENIE_OUTPUT_DIR}")
 
-    # 创建临时目录
-    if not os.path.exists(f"{TEMP_DIR}"):
-        os.makedirs(f"{TEMP_DIR}")
+    # 确保 TEMP_DIR 目录存在
+    if not os.path.exists(TEMP_DIR):
+        os.makedirs(TEMP_DIR)
+        logger.info(f"已创建缓存目录: {TEMP_DIR}")
+
+    # 遍历IMPORTED_DATA_PATH下所有json文件
+    imported_files = sorted(glob.glob(os.path.join(IMPORTED_DATA_PATH, "*.json")))
+    if not imported_files:
+        logger.error(f"未在 {IMPORTED_DATA_PATH} 下找到任何json文件")
+        sys.exit(1)
+
+    all_sha256_list = []
+    all_raw_datas = []
+
+    for imported_file in imported_files:
+        logger.info(f"正在处理文件: {imported_file}")
+        try:
+            sha256_list, raw_datas = load_raw_data(imported_file)
+        except Exception as e:
+            logger.error(f"读取文件失败: {imported_file}, 错误: {e}")
+            continue
+        all_sha256_list.extend(sha256_list)
+        all_raw_datas.extend(raw_datas)
 
     failed_sha256 = []
     open_ie_doc = []
 
-    # 创建线程池，最大线程数为50
     workers = global_config["info_extraction"]["workers"]
     with ThreadPoolExecutor(max_workers=workers) as executor:
-        # 提交所有任务到线程池
         future_to_hash = {
             executor.submit(process_single_text, pg_hash, raw_data, llm_client_list): pg_hash
-            for pg_hash, raw_data in zip(sha256_list, raw_datas)
+            for pg_hash, raw_data in zip(all_sha256_list, all_raw_datas)
         }
 
-        # 使用tqdm显示进度
-        with tqdm.tqdm(total=len(future_to_hash), postfix="正在进行提取：") as pbar:
-            # 处理完成的任务
+        with Progress(
+            SpinnerColumn(),
+            TextColumn("[progress.description]{task.description}"),
+            BarColumn(),
+            TaskProgressColumn(),
+            MofNCompleteColumn(),
+            "•",
+            TimeElapsedColumn(),
+            "<",
+            TimeRemainingColumn(),
+            transient=False,
+        ) as progress:
+            task = progress.add_task("正在进行提取：", total=len(future_to_hash))
             try:
                 for future in as_completed(future_to_hash):
                     if shutdown_event.is_set():
-                        # 取消所有未完成的任务
                         for f in future_to_hash:
                             if not f.done():
                                 f.cancel()
@@ -149,26 +199,38 @@ def main():
                     elif doc_item:
                         with open_ie_doc_lock:
                             open_ie_doc.append(doc_item)
-                    pbar.update(1)
+                    progress.update(task, advance=1)
             except KeyboardInterrupt:
-                # 如果在这里捕获到KeyboardInterrupt，说明signal_handler可能没有正常工作
                 logger.info("\n接收到中断信号，正在优雅地关闭程序...")
                 shutdown_event.set()
-                # 取消所有未完成的任务
                 for f in future_to_hash:
                     if not f.done():
                         f.cancel()
 
-    # 保存信息提取结果
-    sum_phrase_chars = sum([len(e) for chunk in open_ie_doc for e in chunk["extracted_entities"]])
-    sum_phrase_words = sum([len(e.split()) for chunk in open_ie_doc for e in chunk["extracted_entities"]])
-    num_phrases = sum([len(chunk["extracted_entities"]) for chunk in open_ie_doc])
-    openie_obj = OpenIE(
-        open_ie_doc,
-        round(sum_phrase_chars / num_phrases, 4),
-        round(sum_phrase_words / num_phrases, 4),
-    )
-    OpenIE.save(openie_obj)
+    # 合并所有文件的提取结果并保存
+    if open_ie_doc:
+        sum_phrase_chars = sum([len(e) for chunk in open_ie_doc for e in chunk["extracted_entities"]])
+        sum_phrase_words = sum([len(e.split()) for chunk in open_ie_doc for e in chunk["extracted_entities"]])
+        num_phrases = sum([len(chunk["extracted_entities"]) for chunk in open_ie_doc])
+        openie_obj = OpenIE(
+            open_ie_doc,
+            round(sum_phrase_chars / num_phrases, 4) if num_phrases else 0,
+            round(sum_phrase_words / num_phrases, 4) if num_phrases else 0,
+        )
+        # 输出文件名格式：MM-DD-HH-ss-openie.json
+        now = datetime.datetime.now()
+        filename = now.strftime("%m-%d-%H-%S-openie.json")
+        output_path = os.path.join(OPENIE_OUTPUT_DIR, filename)
+        with open(output_path, "w", encoding="utf-8") as f:
+            json.dump(
+                openie_obj.to_dict() if hasattr(openie_obj, "to_dict") else openie_obj.__dict__,
+                f,
+                ensure_ascii=False,
+                indent=4,
+            )
+        logger.info(f"信息提取结果已保存到: {output_path}")
+    else:
+        logger.warning("没有可保存的信息提取结果")
 
     logger.info("--------信息提取完成--------")
     logger.info(f"提取失败的文段SHA256：{failed_sha256}")