修改save_results
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@@ -64,64 +64,104 @@ class CrawlerService:
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).values(status='processing')
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conn.execute(upd)
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return {"urls": urls}
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from sqlalchemy import select, insert, update, and_
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from .database import db_instance
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from .utils import normalize_url
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class CrawlerService:
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def __init__(self):
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self.db = db_instance
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def save_results(self, task_id: int, results: list):
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"""通用 API 实现的 UPSERT 逻辑:区分插入、更新、失败"""
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inserted_urls, updated_urls, failed_urls = [], [], []
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"""
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保存同一 URL 的多个切片。
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返回:该 URL 下切片的详细处理统计及页面更新状态。
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"""
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if not results:
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return {"msg": "No data provided"}
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# 1. 基础信息提取 (假设 results 里的 source_url 都是一致的)
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first_item = results[0] if isinstance(results[0], dict) else results[0].__dict__
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target_url = normalize_url(first_item.get('source_url'))
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# 结果统计容器
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inserted_chunks = []
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updated_chunks = []
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failed_chunks = []
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is_page_update = False
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with self.db.engine.begin() as conn:
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# 2. 判断该 URL 是否已经有切片存在 (以此判定是否为“页面更新”)
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check_page_stmt = select(self.db.chunks.c.id).where(
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and_(self.db.chunks.c.task_id == task_id, self.db.chunks.c.source_url == target_url)
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).limit(1)
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if conn.execute(check_page_stmt).fetchone():
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is_page_update = True
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# 3. 逐个处理切片
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for res in results:
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# 适配 Dify 传来的字典或对象
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data = res if isinstance(res, dict) else res.__dict__
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clean_url = normalize_url(data.get('source_url'))
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c_idx = data.get('chunk_index')
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try:
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# 1. 检查是否存在该切片
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find_q = select(self.db.chunks).where(
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# 检查具体某个 index 的切片是否存在
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find_chunk_stmt = select(self.db.chunks.c.id).where(
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and_(
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self.db.chunks.c.task_id == task_id,
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self.db.chunks.c.source_url == clean_url,
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self.db.chunks.c.source_url == target_url,
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self.db.chunks.c.chunk_index == c_idx
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)
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)
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existing = conn.execute(find_q).fetchone()
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existing_chunk = conn.execute(find_chunk_stmt).fetchone()
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if existing:
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# 2. 执行更新 API
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upd = update(self.db.chunks).where(self.db.chunks.c.id == existing[0]).values(
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if existing_chunk:
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# 覆盖更新现有切片
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upd_stmt = update(self.db.chunks).where(
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self.db.chunks.c.id == existing_chunk[0]
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).values(
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title=data.get('title'),
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content=data.get('content'),
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embedding=data.get('embedding')
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)
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conn.execute(upd)
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updated_urls.append(clean_url)
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conn.execute(upd_stmt)
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updated_chunks.append(c_idx)
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else:
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# 3. 执行插入 API
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ins = insert(self.db.chunks).values(
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# 插入新切片
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ins_stmt = insert(self.db.chunks).values(
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task_id=task_id,
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source_url=clean_url,
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source_url=target_url,
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chunk_index=c_idx,
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title=data.get('title'),
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content=data.get('content'),
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embedding=data.get('embedding')
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)
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conn.execute(ins)
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inserted_urls.append(clean_url)
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# 4. 更新队列状态
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conn.execute(update(self.db.queue).where(
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and_(self.db.queue.c.task_id == task_id, self.db.queue.c.url == clean_url)
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).values(status='completed'))
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conn.execute(ins_stmt)
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inserted_chunks.append(c_idx)
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except Exception as e:
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print(f"Error: {e}")
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failed_urls.append(clean_url)
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print(f"Chunk {c_idx} failed: {e}")
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failed_chunks.append(c_idx)
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# 4. 最终更新队列状态
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conn.execute(
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update(self.db.queue).where(
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and_(self.db.queue.c.task_id == task_id, self.db.queue.c.url == target_url)
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).values(status='completed')
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)
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return {
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"inserted_urls": list(set(inserted_urls)),
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"updated_urls": list(set(updated_urls)),
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"failed_urls": failed_urls
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"source_url": target_url,
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"is_page_update": is_page_update, # 标志:此页面此前是否有过内容
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"detail": {
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"inserted_chunk_indexes": inserted_chunks,
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"updated_chunk_indexes": updated_chunks,
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"failed_chunk_indexes": failed_chunks
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},
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"counts": {
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"inserted": len(inserted_chunks),
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"updated": len(updated_chunks),
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"failed": len(failed_chunks)
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}
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}
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crawler_service = CrawlerService()
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