test positions
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@@ -1,5 +1,5 @@
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from elasticsearch import Elasticsearch
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from src.add_chunk_cli_pdf_img import update_positon_img_id_in_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': '127.0.0.1', 'port': 1200, 'scheme': 'http'}],
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@@ -58,6 +58,39 @@ def update_img_id_in_elasticsearch(tenant_id, doc_id, chunk_id, new_img_id):
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else:
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return {"code": 100, "message": "Failed to update img_id"}
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def get_index_mapping(tenant_id):
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"""
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获取指定索引的 mapping 信息
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:param tenant_id: 租户 ID
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:return: mapping 信息
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"""
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index_name = f"ragflow_{tenant_id}"
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try:
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mapping = es.indices.get_mapping(index=index_name)
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# 将 ObjectApiResponse 转换为普通字典
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mapping_dict = dict(mapping)
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return {"code": 0, "message": "", "data": mapping_dict}
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except Exception as e:
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return {"code": 500, "message": str(e), "data": {}}
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# 在主函数中调用示例
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if __name__ == "__main__":
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# ... 现有代码 ...
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# 获取 mapping 信息
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tenant_id = "9c73df5a3ebc11f08410c237296aa408"
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mapping_result = get_index_mapping(tenant_id)
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if mapping_result["code"] == 0:
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print("索引 mapping 信息:")
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import json
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# 使用 default=str 处理不能直接序列化的对象
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print(json.dumps(mapping_result["data"], indent=2, ensure_ascii=False, default=str))
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else:
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print(f"获取 mapping 失败: {mapping_result['message']}")
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def list_chunk_information(tenant_id, dataset_id, doc_id=None, chunk_id=None, size=1000):
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"""
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@@ -121,17 +154,33 @@ if __name__ == "__main__":
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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 = "323113d8670c11f0b4255ea1d23c381a"
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doc_id = "323113d8670c11f0b4255ea1d23c381a"
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doc_id = "5cdab2fa67cb11f0a21592edb0e63cad" #
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chunk_id = "f035247f7de579b0" #
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chunk_id = "b2d53baddbfde97c" #
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chunk_id = "e46a067c1edf939a"
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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 = "0e6127da574a11f0a59c7e7439a490f8-b2d53baddbfde97c"
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#new_img_id ="c5142bce5ac611f0ae707a8b5ba029cb-thumbnail_fb3cbc165ac611f0b5897a8b5ba029cb.png"
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pos= [3, 317, 397, 123, 182]
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# 获取 mapping 信息
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tenant_id = "9c73df5a3ebc11f08410c237296aa408"
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mapping_result = get_index_mapping(tenant_id)
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if mapping_result["code"] == 0:
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print("索引 mapping 信息:")
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import json
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print(json.dumps(mapping_result["data"], indent=2, ensure_ascii=False))
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else:
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print(f"获取 mapping 失败: {mapping_result['message']}")
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#chunk_list = list_chunk_information(tenant_id, dataset_id, doc_id=doc_id)
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update_img_id_in_elasticsearch(tenant_id, doc_id, chunk_id,new_img_id)
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# update_img_id_in_elasticsearch(tenant_id, doc_id, chunk_id,new_img_id)
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update_positon_img_id_in_elasticsearch(tenant_id, doc_id, chunk_id, pos, new_img_id)
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# if chunk_list["code"] == 0:
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# print(f"找到 {len(chunk_list['data'])} 个 chunks")
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# for chunk in chunk_list['data']:
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@@ -10,7 +10,7 @@ from elasticsearch import Elasticsearch
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from minio import Minio
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from minio.error import S3Error
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from get_pos_pdf import smart_fuzzy_find_text_batch, find_text_positions_batch
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# from get_pos_pdf import smart_fuzzy_find_text_batch, find_text_positions_batch
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from dotenv import load_dotenv # 新增
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@@ -59,6 +59,7 @@ def update_positon_img_id_in_elasticsearch(tenant_id, doc_id, chunk_id, position
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:return: 更新结果
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"""
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try:
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# 构建索引名称
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index_name = f"ragflow_{tenant_id}"
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@@ -93,7 +94,23 @@ def update_positon_img_id_in_elasticsearch(tenant_id, doc_id, chunk_id, position
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# 只有当 position 存在时才更新 positions
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if position is not None:
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update_body["doc"]["positions"] = position
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# 如果传入的是嵌套字典格式的 position
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if isinstance(position, list) and all(isinstance(p, dict) for p in position):
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# 将字典格式转换为整数列表格式
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formatted_positions = []
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for pos in position:
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pos_list = [
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pos.get('page', 0), # 页码
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int(round(float(pos.get('x0', 0)))), # x0
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int(round(float(pos.get('x1', 0)))), # x1
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int(round(float(pos.get('y0', 0)))), # y0
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int(round(float(pos.get('y1', 0)))) # y1
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]
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formatted_positions.append(pos_list)
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update_body["doc"]["positions"] = formatted_positions
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# 如果已经是整数列表格式
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elif isinstance(position, list):
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update_body["doc"]["positions"] = position
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# 如果没有需要更新的字段,直接返回成功
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if not update_body["doc"]:
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