更新 Elasticsearch 和 MinIO 配置,重构文件上传逻辑,添加图片链接处理功能
This commit is contained in:
@@ -2,7 +2,7 @@ from elasticsearch import Elasticsearch
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# 初始化 Elasticsearch 用户名elastic,密码infini_rag_flow
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es = Elasticsearch(
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[{'host': '192.168.107.165', 'port': 1200, 'scheme': 'http'}],
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[{'host': '127.0.0.1', 'port': 1200, 'scheme': 'http'}],
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basic_auth=('elastic', 'infini_rag_flow')
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)
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@@ -118,12 +118,14 @@ if __name__ == "__main__":
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print("连接失败:", e)
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tenant_id = "d669205e57a211f0b9e7324e7f243034"
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dataset_id = "10345832587311f0919f3a2728512a4b" # dataset_id = kb_id
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tenant_id = "9c73df5a3ebc11f08410c237296aa408"
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dataset_id = "0e6127da574a11f0a59c7e7439a490f8" # dataset_id = kb_id
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doc_id = "cbf576385bc911f08f23fedc3996e479"
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doc_id = "4300e558609511f08b8bde4a87f78768"
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doc_id = "323113d8670c11f0b4255ea1d23c381a"
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chunk_id = "f035247f7de579b0" #
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chunk_id = "5b3445f7861ff772" #
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chunk_id = "b2d53baddbfde97c" #
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new_img_id = "10345832587311f0919f3a2728512a4b-f035247f7de579b0" #"new_img_id_12345"
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new_img_id = "0e6127da574a11f0a59c7e7439a490f8-b2d53baddbfde97c"
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#new_img_id ="c5142bce5ac611f0ae707a8b5ba029cb-thumbnail_fb3cbc165ac611f0b5897a8b5ba029cb.png"
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108
minio_api.py
108
minio_api.py
@@ -2,7 +2,7 @@ from minio import Minio
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from minio.error import S3Error
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import os
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from datetime import timedelta
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MINIO_HOST=os.getenv("MINIO_HOST", "127.0.0.1")
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MINIO_HOST="127.0.0.1"
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MINIO_CONFIG = {
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"endpoint": f"{MINIO_HOST}:{os.getenv('MINIO_PORT', '9000')}",
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@@ -37,35 +37,6 @@ def get_minio_client():
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# 'data': upload_result['data']
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# })
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def upload_files_to_server(files, parent_id=None, user_id=None):
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"""
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上传文件到MinIO服务器
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:param files: 文件路径列表
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:param parent_id: 父级ID(可选)
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:param user_id: 用户ID(可选)
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"""
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for file_path in files:
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if not os.path.isfile(file_path):
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print(f"文件不存在: {file_path}")
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continue
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# 获取文件名
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file_name = os.path.basename(file_path)
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# 上传文件到MinIO
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try:
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with open(file_path, 'rb') as file_data:
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minio_client.put_object (
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bucket_name=parent_id,
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object_name=file_name,
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data=file_data,
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length=os.path.getsize(file_path)
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)
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print(f"文件已上传到MinIO: {parent_id}/{file_name}")
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except S3Error as e:
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print(f"上传文件 '{file_name}' 失败: {e}")
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except Exception as e:
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print(f"发生错误: {e}")
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@@ -81,48 +52,55 @@ def upload_files_to_server(files, parent_id=None, user_id=None):
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# secure=False # 使用HTTPS(如果是本地测试且未配置SSL,可设置为False)
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# )
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minio_client= get_minio_client()
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def upload_file2minio(bucket_name, object_name, file_path):
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"""上传文件到MinIO
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# 通过fput_object上传时:
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# 如果object_name为image\image.jpg,则上传后的名字就是image\image.jpg;
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# 要上传的存储桶信息
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bucket_name = "my-bucket" # 替换为你的存储桶名称
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object_name = "image/1.jpg" # 文件在MinIO中存储的名称
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file_path = "G:\\11\\ragflow_api_test\\2.jpg" # 本地文件路径
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# 通过fput_object上传时:
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# 如果object_name为image\image.jpg,则上传后的名字就是image\image.jpg;
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# 如果object_name为image/image.jpg,则上传后image为文件夹,文件名为image.jpg;
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try:
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# 检查存储桶是否存在,如果不存在则创建(可选)
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if not minio_client.bucket_exists(bucket_name):
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minio_client.make_bucket(bucket_name)
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print(f"Bucket '{bucket_name}' created")
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# 如果object_name为image/image.jpg,则上传后image为文件夹,文件名为image.jpg;
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# 上传文件
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minio_client.fput_object(
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bucket_name=bucket_name,
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object_name=object_name,
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file_path=file_path
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)
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"""
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# 获取文件的预签名URL(可选)
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res = minio_client.get_presigned_url("GET", bucket_name, object_name, expires=timedelta(days=7))
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minio_client= get_minio_client()
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try:
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# 检查存储桶是否存在,如果不存在则创建(可选)
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if not minio_client.bucket_exists(bucket_name):
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minio_client.make_bucket(bucket_name)
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print(f"Bucket '{bucket_name}' created")
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# 上传文件
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minio_client.fput_object(
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bucket_name=bucket_name,
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object_name=object_name,
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file_path=file_path
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)
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# 获取文件的预签名URL(可选)
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#res = minio_client.get_presigned_url("GET", bucket_name, object_name, expires=timedelta(days=7))
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#res = "http://127.0.0.1:9000" + "/"+bucket_name+"/" + object_name
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#print(res)
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print(f"文件 '{file_path}' 成功上传到存储桶 '{bucket_name}' 为 '{object_name}'")
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except S3Error as exc:
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print("MinIO错误:", exc)
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except Exception as e:
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print("发生错误:", e)
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if __name__ == "__main__":
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# 要上传的存储桶信息
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bucket_name = "my-bucket" # 替换为你的存储桶名称
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object_name = "image/1.jpg" # 文件在MinIO中存储的名称
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file_path = "G:\\11\\ragflow_api_test\\2.jpg" # 本地文件路径
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upload_file2minio(bucket_name, object_name, file_path)
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#res = "http://127.0.0.1:9000" + "/"+bucket_name+"/" + object_name
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print(res)
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print(f"文件 '{file_path}' 成功上传到存储桶 '{bucket_name}' 为 '{object_name}'")
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except S3Error as exc:
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print("MinIO错误:", exc)
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except Exception as e:
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print("发生错误:", e)
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@@ -7,10 +7,148 @@ base_url = "http://127.0.0.1:8099"
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## 公司内网
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base_url = "http://192.168.107.165:8099"
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api_key = "ragflow-I5ZDNjMWNhNTdlMjExZjBiOTEwMzI0ZT"
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# base_url = "http://192.168.107.165:8099"
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# api_key = "ragflow-I5ZDNjMWNhNTdlMjExZjBiOTEwMzI0ZT"
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elastic_tenant_id = "9c73df5a3ebc11f08410c237296aa408"
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rag_object = RAGFlow(api_key=api_key, base_url=base_url)
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elastic_url = "127.0.0.1"
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from elasticsearch import Elasticsearch
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# 初始化 Elasticsearch 用户名elastic,密码infini_rag_flow
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es = Elasticsearch(
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[{'host': elastic_url, 'port': 1200, 'scheme': 'http'}],
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basic_auth=('elastic', 'infini_rag_flow')
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)
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def update_img_id_in_elasticsearch(tenant_id, doc_id, chunk_id, new_img_id):
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"""
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在 Elasticsearch 中更新指定文档块的 img_id。
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如果img_id不存在,则增加一个新的 img_id。
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:param tenant_id: 租户 ID
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:param doc_id: 文档 ID
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:param chunk_id: 文档块 ID
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:param new_img_id: 新的 img_id
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:return: 更新结果
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"""
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# 构建索引名称
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index_name = f"ragflow_{tenant_id}" # 这里需要替换为实际的索引名称生成逻辑
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# 构建查询条件
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query = {
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"bool": {
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"must": [
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{"term": {"doc_id": doc_id}},
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{"term": {"_id": chunk_id}}
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]
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}
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}
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# 搜索目标文档
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result = es.search(index=index_name, body={"query": query})
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# 检查是否找到目标文档
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if result['hits']['total']['value'] == 0:
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return {"code": 102, "message": f"Can't find this chunk {chunk_id}"}
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# 获取目标文档的 ID
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hit = result['hits']['hits'][0]
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doc_id_in_es = hit['_id']
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update_body = {
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"doc": {
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"img_id": new_img_id
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}
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}
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# 更新文档
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update_result = es.update(index=index_name, id=doc_id_in_es, body=update_body)
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print("更新结果:", update_result)
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if update_result['result'] == 'updated':
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return {"code": 0, "message": ""}
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else:
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return {"code": 100, "message": "Failed to update img_id"}
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from minio import Minio
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from minio.error import S3Error
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MINIO_HOST="127.0.0.1"
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MINIO_CONFIG = {
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"endpoint": f"{MINIO_HOST}:{os.getenv('MINIO_PORT', '9000')}",
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"access_key": os.getenv("MINIO_USER", "rag_flow"),
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"secret_key": os.getenv("MINIO_PASSWORD", "infini_rag_flow"),
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"secure": False
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}
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def get_minio_client():
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"""创建MinIO客户端"""
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return Minio(
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endpoint=MINIO_CONFIG["endpoint"],
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access_key=MINIO_CONFIG["access_key"],
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secret_key=MINIO_CONFIG["secret_key"],
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secure=MINIO_CONFIG["secure"]
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)
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def upload_file2minio(bucket_name, object_name, file_path):
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"""上传文件到MinIO
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# 通过fput_object上传时:
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# 如果object_name为image\image.jpg,则上传后的名字就是image\image.jpg;
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# 如果object_name为image/image.jpg,则上传后image为文件夹,文件名为image.jpg;
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"""
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minio_client= get_minio_client()
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try:
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# 检查存储桶是否存在,如果不存在则创建(可选)
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if not minio_client.bucket_exists(bucket_name):
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minio_client.make_bucket(bucket_name)
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print(f"Bucket '{bucket_name}' created")
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# 上传文件
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minio_client.fput_object(
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bucket_name=bucket_name,
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object_name=object_name,
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file_path=file_path
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)
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# 获取文件的预签名URL(可选)
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#res = minio_client.get_presigned_url("GET", bucket_name, object_name, expires=timedelta(days=7))
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#res = "http://127.0.0.1:9000" + "/"+bucket_name+"/" + object_name
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#print(res)
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print(f"文件 '{file_path}' 成功上传到存储桶 '{bucket_name}' 为 '{object_name}'")
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return True
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except S3Error as exc:
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print("MinIO错误:", exc)
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return False
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except Exception as e:
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print("发生错误:", e)
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return False
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@@ -120,17 +258,29 @@ def divid_txt_chunk_img(txt_chunk):
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return clean_text, image_paths
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def upload_images_to_minio(image_paths, document):
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"""
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上传图片到MinIO,
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def extract_images_from_chunk( content):
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"""从chunk内容中提取图片链接"""
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img_pattern = r'!\[.*?\]\((.*?)\)'
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return re.findall(img_pattern, content)
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def remove_images_from_content( content):
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"""从内容中移除图片链接"""
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# 移除markdown图片语法 
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content = re.sub(r'!\[.*?\]\(.*?\)', '', content)
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# 清理多余的空行
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content = re.sub(r'\n\s*\n\s*\n', '\n\n', content)
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return content.strip()
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def process_txt_chunks( dataset_id, document, txt_path):
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"""处理文本分块并添加到文档
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dataset_id = kb_id
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"""
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def process_txt_chunks(document, txt_path):
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"""处理文本分块并添加到文档"""
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try:
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with open(txt_path, 'r', encoding='utf-8') as file:
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file_content = file.read()
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@@ -138,23 +288,51 @@ def process_txt_chunks(document, txt_path):
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for num, txt_chunk in enumerate(file_content.split('\n\n')):
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if txt_chunk.strip():
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print(f"处理文本块: {txt_chunk[:30]}...")
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chunk = document.add_chunk(content=txt_chunk)
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img_urls= extract_images_from_chunk(txt_chunk)
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img_url = img_urls[0] if img_urls else None
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if img_url:
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print(f"检测到图片链接: {img_url}")
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# 清楚图片链接
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clean_chunk = remove_images_from_content(txt_chunk)
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chunk = document.add_chunk(content=clean_chunk)
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# 判断是相对路径还是绝对路径
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if not os.path.isabs(img_url):
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img_abs_path = os.path.join(os.path.dirname(txt_path), img_url)
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else:
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img_abs_path = img_url
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print(f"图片绝对路径: {img_abs_path}")
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if not os.path.exists(img_abs_path):
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print(f"图片未找到: {img_abs_path},跳过。")
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continue
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else:
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if(upload_file2minio(dataset_id, chunk.id, img_abs_path)):
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new_img_id = f"{dataset_id}-{chunk.id}"
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print(f"图片 {img_abs_path} 已上传,新的 img_id: {new_img_id}")
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update_img_id_in_elasticsearch(elastic_tenant_id, document.id, chunk.id, new_img_id)
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else:
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print("未检测到图片链接,直接添加文本块。")
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chunk = document.add_chunk(content=txt_chunk)
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print(f"第{num+1} Chunk添加成功! ID: {chunk.id}")
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except Exception as e:
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print(f"处理文本文件时出错: {txt_path},错误: {e}")
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def process_pdf_txt_pairs(pdf_dict, txt_dict, dataset):
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"""处理PDF-TXT文件对"""
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for name, pdf_path in pdf_dict.items():
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display_name = os.path.basename(pdf_path)
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document = upload_or_get_document(dataset, pdf_path, display_name)
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print(f"选择的文档: {document.name},ID: {document.id}")
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if not document:
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continue
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txt_path = txt_dict.get(name)
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if txt_path:
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process_txt_chunks(document, txt_path)
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process_txt_chunks(dataset.id,document, txt_path)
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def main():
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@@ -163,12 +341,12 @@ def main():
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dataset.id = bucket_name
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chunk_id = object_name
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"""
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file_path = "g:\\11\\22\\规范\\"
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#pdf_dict, txt_dict = pair_pdf_and_txt(file_path, file_path)
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file_path = "g:\\11\\22\\test\\"
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pdf_dict, txt_dict = pair_pdf_and_txt(file_path, file_path)
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# if not pdf_dict:
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# print("未选择任何文件。")
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# return
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if not pdf_dict:
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print("未选择任何文件。")
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return
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dataset = select_dataset(rag_object)
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print(f"选择的数据集: {dataset.name}")
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@@ -177,7 +355,7 @@ def main():
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print("未选择数据集。")
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return
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||||
|
||||
#process_pdf_txt_pairs(pdf_dict, txt_dict, dataset)
|
||||
process_pdf_txt_pairs(pdf_dict, txt_dict, dataset)
|
||||
|
||||
|
||||
|
||||
|
Reference in New Issue
Block a user