dev #3
@@ -1,40 +1,41 @@
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import logging
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# import yaml
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import yaml
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from app.engine.loaders.db import DBLoaderConfig, get_db_documents
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from app.engine.loaders.file import FileLoaderConfig, get_file_documents
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from app.engine.loaders.web import WebLoaderConfig, get_web_documents
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logger = logging.getLogger(__name__)
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# 注释掉 load_configs 函数
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# def load_configs():
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# with open("config/loaders.yaml") as f:
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# configs = yaml.safe_load(f)
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# return configs
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def load_configs():
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with open("config/loaders.yaml") as f:
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configs = yaml.safe_load(f)
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return configs
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def get_documents():
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documents = []
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# 注释掉对 load_configs 的调用
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# config = load_configs()
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# if config is None or len(config.items()) == 0:
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# return documents
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config = load_configs()
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# 使用一个空的 config 替代原有的配置加载逻辑
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config = {}
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if config is None or len(config.items()) == 0:
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return documents
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for loader_type, loader_config in config.items():
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logger.info(
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f"Loading documents from loader: {loader_type}, config: {loader_config}"
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)
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if loader_config.get('enable', True): # 检查 enable 字段
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logger.info(
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f"Loading documents from loader: {loader_type}, config: {loader_config}"
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)
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loader_config = loader_config or []
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match loader_type:
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case "file":
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document = get_file_documents(FileLoaderConfig(**loader_config))
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case "web":
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document = get_web_documents(WebLoaderConfig(**loader_config))
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case _:
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raise ValueError(f"Invalid loader type: {loader_type}")
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documents.extend(document)
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loader_config = loader_config or []
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match loader_type:
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case "file":
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document = get_file_documents(FileLoaderConfig(**loader_config))
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case "web":
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document = get_web_documents(WebLoaderConfig(**loader_config))
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case "db":
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document = get_db_documents(configs=[DBLoaderConfig(**cfg) for cfg in loader_config])
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case _:
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raise ValueError(f"Invalid loader type: {loader_type}")
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documents.extend(document)
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return documents
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@@ -1,12 +1,15 @@
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import logging
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from typing import Any, List, Optional
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from llama_index.core import Document
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from llama_index.core import SQLDatabase, Document
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from llama_index.readers.database import DatabaseReader
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from pydantic import BaseModel
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from sqlalchemy import create_engine, text
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from sqlalchemy.engine import Engine
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logger = logging.getLogger(__name__)
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class CustomDatabaseReader:
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class CustomDatabaseReader(DatabaseReader):
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"""Simple Database reader.
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Concatenates each row into Document used by LlamaIndex.
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@@ -39,8 +42,8 @@ class CustomDatabaseReader:
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def __init__(
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self,
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sql_database: Optional[Any] = None,
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engine: Optional[Any] = None,
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sql_database: Optional[SQLDatabase] = None,
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engine: Optional[Engine] = None,
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uri: Optional[str] = None,
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scheme: Optional[str] = None,
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host: Optional[str] = None,
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@@ -52,24 +55,51 @@ class CustomDatabaseReader:
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**kwargs: Any,
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) -> None:
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"""Initialize with parameters."""
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# Setting the database-related properties to None
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self.sql_database = None
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self.uri = None
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if sql_database:
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self.sql_database = sql_database
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elif engine:
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self.sql_database = SQLDatabase(engine, *args, **kwargs)
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elif uri:
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self.uri = uri
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self.sql_database = SQLDatabase.from_uri(uri, *args, **kwargs)
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elif scheme and host and port and user and password and dbname:
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uri = f"{scheme}://{user}:{password}@{host}:{port}/{dbname}"
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self.uri = uri
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self.sql_database = SQLDatabase.from_uri(uri, *args, **kwargs)
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else:
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raise ValueError(
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"You must provide either a SQLDatabase, "
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"a SQL Alchemy Engine, a valid connection URI, or a valid "
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"set of credentials."
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)
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def load_data(self, query: str, explanation: str) -> List[Document]:
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"""Simulate loading data without a database connection.
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def load_data(self, query: str) -> List[Document]:
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"""Query and load data from the Database, returning a list of Documents.
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Args:
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query (str): Query parameter (not used).
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explanation (str): Explanation to be included in the document.
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query (str): Query parameter to filter tables and rows.
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Returns:
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List[Document]: A list of Document objects.
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"""
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dco_str = explanation + "\n"
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# Simulate data without querying a real database
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dco_str += "Simulated column1, Simulated column2\n"
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dco_str += "Simulated data1, Simulated data2\n"
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dco_str = ""
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with self.sql_database.engine.connect() as connection:
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if query is None:
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raise ValueError("A query parameter is necessary to filter the data")
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else:
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result = connection.execute(text(query))
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dco_str += ", ".join(
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[f"{entry}" for entry in result.keys()]
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) + "\n"
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for item in result.fetchall():
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# Fetch each item
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record_str = ", ".join(
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[f"{entry}" for col, entry in zip(result.keys(), item)]
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)
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dco_str += record_str + "\n"
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doc = Document(text=dco_str)
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doc.metadata["name"] = query
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@@ -81,10 +111,10 @@ class DBLoaderConfig(BaseModel):
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uri: str
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queries: List[dict]
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def get_db_documents(configs: list[DBLoaderConfig]):
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def get_db_documents(configs: List[DBLoaderConfig]) -> List[Document]:
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docs = []
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if len(configs) == 0 or configs[0].uri == "":
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if not configs or not configs[0].uri:
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logger.warning(
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f"Failed to load database, error message: uri is empty. Return as empty document list."
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)
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@@ -95,13 +125,20 @@ def get_db_documents(configs: list[DBLoaderConfig]):
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}
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for entry in configs:
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# Skipping the database connection part
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loader = CustomDatabaseReader()
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engine = create_engine(entry.uri)
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sql_database = SQLDatabase(engine)
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loader = CustomDatabaseReader(sql_database)
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for query_dict in entry.queries:
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query = query_dict.get("sql", "")
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explanation = query_dict.get("explanation", "")
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logger.info(f"Loading data from database with query: {query}")
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documents = loader.load_data(query=query, explanation=explanation)
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documents = loader.load_data(query=query)
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# 添加解释到元数据中
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for doc in documents:
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doc.metadata["explanation"] = explanation
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doc.metadata.update(metadata) # 更新或添加额外的元数据
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docs.append(doc)
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docs.extend(documents)
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return docs
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@@ -1,4 +1,5 @@
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file:
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enable: true # 添加 enable 字段
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# use_llama_parse: Use LlamaParse if `true`. Needs a `LLAMA_CLOUD_API_KEY` from https://cloud.llamaindex.ai set as environment variable
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use_llama_parse: false
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@@ -7,27 +8,20 @@ db:
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# uri: The URI for the database. E.g.: mysql+pymysql://user:password@localhost:3306/db or postgresql+psycopg2://user:password@localhost:5432/db
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# query: The query to fetch data from the database. E.g.: SELECT * FROM table
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- uri: mysql+pymysql://zjinfo1:Dy2Bcr53Hm5xRkba@110.42.234.166:3306/zjinfo1
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#- uri: mysql+pymysql://zjinfo:Y6EAjEEdSYmskA8B@110.42.234.166:3306/zjinfo
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# - uri: mysql+pymysql://zjinfo2:GSKcziSdBixDXwcd@110.42.234.166:3306/zjinfo2
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enable: true # 添加 enable 字段
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queries:
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- sql: select * from ProjectProperties limit 30;
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- sql: select * from ProjectProperties;
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explanation: "工程属性表数据,层级关系包含在博微电力造价工程文件格式_ProjectProperties.json文件中。"
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- sql: select Id, ParentId, Level, Name, Code, Amount, Amount_Total from TotalCalculateTable;
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explanation: "总算表数据,层级关系包含在博微电力造价工程文件格式_TotalCalculateTable.json文件中。"
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- sql: select Id, ParentId, Level, SerialNumber, Name, Quantity, Rate, Sum_Price from ProjectDivision where Level = 3 and ProfessionalType = '线路' limit 50;
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- sql: select Id, ParentId, Level, SerialNumber, Name, Quantity, Rate, Sum_Price from ProjectDivision where ProfessionalType = '线路';
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explanation: "专业类型为线路的项目划分表数据,层级关系包含在博微电力造价工程文件格式_ProjectDivision.json文件中。"
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- sql: select Id, ParentId, Level, SerialNumber, Name, Quantity, Rate, Sum_Price from ProjectDivision where Level = 3 and ProfessionalType = '余物清理' limit 50;
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- sql: select Id, ParentId, Level, SerialNumber, Name, Quantity, Rate, Sum_Price from ProjectDivision where ProfessionalType = '余物清理';
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explanation: "专业类型为余物清理的项目划分表数据,层级关系包含在博微电力造价工程文件格式_ProjectDivision.json文件中。"
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- sql: select Id, ParentId, Level, SerialNumber, Name, Quantity, Rate, Sum_Price from ProjectDivision where Level = 3 and ProfessionalType = '拆除线路' limit 50;
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- sql: select Id, ParentId, Level, SerialNumber, Name, Quantity, Rate, Sum_Price from ProjectDivision where ProfessionalType = '拆除线路';
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explanation: "专业类型为拆除线路的项目划分表数据,层级关系包含在博微电力造价工程文件格式_ProjectDivision.json文件中。"
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- sql: select Id, ParentId, Level, Name, Code, Rate, Amount from OtherFee;
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explanation: "其他费用表数据,层级关系包含在博微电力造价工程文件格式_OtherFee.json文件中"
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#web:
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# driver_arguments:
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# # The arguments to pass to the webdriver. E.g.: add --headless to run in headless mode
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