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t=this.formatInlineExpression(e.children);t?(this.layout.add(e.openParen),this.layout.add(...t.getLayoutItems()),this.layout.add(i.NO_SPACE,e.closeParen,i.SPACE)):(this.layout.add(e.openParen,i.NEWLINE),ng(this.cfg)?(this.layout.add(i.INDENT),this.layout=this.formatSubExpression(e.children)):(this.layout.indentation.increaseBlockLevel(),this.layout.add(i.INDENT),this.layout=this.formatSubExpression(e.children),this.layout.indentation.decreaseBlockLevel()),this.layout.add(i.NEWLINE,i.INDENT,e.closeParen,i.SPACE))}formatBetweenPredicate(e){this.layout.add(this.showKw(e.betweenKw),i.SPACE),this.layout=this.formatSubExpression(e.expr1),this.layout.add(i.NO_SPACE,i.SPACE,this.showNonTabularKw(e.andKw),i.SPACE),this.layout=this.formatSubExpression(e.expr2),this.layout.add(i.SPACE)}formatCaseExpression(e){this.formatNode(e.caseKw),this.layout.indentation.increaseBlockLevel(),this.layout=this.formatSubExpression(e.expr),this.layout=this.formatSubExpression(e.clauses),this.layout.indentation.decreaseBlockLevel(),this.layout.add(i.NEWLINE,i.INDENT),this.formatNode(e.endKw)}formatCaseWhen(e){this.layout.add(i.NEWLINE,i.INDENT),this.formatNode(e.whenKw),this.layout=this.formatSubExpression(e.condition),this.formatNode(e.thenKw),this.layout=this.formatSubExpression(e.result)}formatCaseElse(e){this.layout.add(i.NEWLINE,i.INDENT),this.formatNode(e.elseKw),this.layout=this.formatSubExpression(e.result)}formatClause(e){this.isOnelineClause(e)?this.formatClauseInOnelineStyle(e):ng(this.cfg)?this.formatClauseInTabularStyle(e):this.formatClauseInIndentedStyle(e)}isOnelineClause(e){return this.dialectCfg.onelineClauses[e.nameKw.text]}formatClauseInIndentedStyle(e){this.layout.add(i.NEWLINE,i.INDENT,this.showKw(e.nameKw),i.NEWLINE),this.layout.indentation.increaseTopLevel(),this.layout.add(i.INDENT),this.layout=this.formatSubExpression(e.children),this.layout.indentation.decreaseTopLevel()}formatClauseInOnelineStyle(e){this.layout.add(i.NEWLINE,i.INDENT,this.showKw(e.nameKw),i.SPACE),this.layout=this.formatSubExpression(e.children)}formatClauseInTabularStyle(e){this.layout.add(i.NEWLINE,i.INDENT,this.showKw(e.nameKw),i.SPACE),this.layout.indentation.increaseTopLevel(),this.layout=this.formatSubExpression(e.children),this.layout.indentation.decreaseTopLevel()}formatSetOperation(e){this.layout.add(i.NEWLINE,i.INDENT,this.showKw(e.nameKw),i.NEWLINE),this.layout.add(i.INDENT),this.layout=this.formatSubExpression(e.children)}formatLimitClause(e){this.withComments(e.limitKw,()=>{this.layout.add(i.NEWLINE,i.INDENT,this.showKw(e.limitKw))}),this.layout.indentation.increaseTopLevel(),ng(this.cfg)?this.layout.add(i.SPACE):this.layout.add(i.NEWLINE,i.INDENT),e.offset&&(this.layout=this.formatSubExpression(e.offset),this.layout.add(i.NO_SPACE,",",i.SPACE)),this.layout=this.formatSubExpression(e.count),this.layout.indentation.decreaseTopLevel()}formatAllColumnsAsterisk(e){this.layout.add("*",i.SPACE)}formatLiteral(e){this.layout.add(e.text,i.SPACE)}formatIdentifier(e){this.layout.add(e.text,i.SPACE)}formatParameter(e){this.layout.add(this.params.get(e),i.SPACE)}formatOperator({text:e}){this.cfg.denseOperators||this.dialectCfg.alwaysDenseOperators.includes(e)?this.layout.add(i.NO_SPACE,e):":"===e?this.layout.add(i.NO_SPACE,e,i.SPACE):this.layout.add(e,i.SPACE)}formatComma(e){this.inline?this.layout.add(i.NO_SPACE,",",i.SPACE):this.layout.add(i.NO_SPACE,",",i.NEWLINE,i.INDENT)}withComments(e,t){this.formatComments(e.leadingComments),t(),this.formatComments(e.trailingComments)}formatComments(e){e&&e.forEach(e=>{e.type===o.line_comment?this.formatLineComment(e):this.formatBlockComment(e)})}formatLineComment(e){P(e.precedingWhitespace||"")?this.layout.add(i.NEWLINE,i.INDENT,e.text,i.MANDATORY_NEWLINE,i.INDENT):this.layout.getLayoutItems().length>0?this.layout.add(i.NO_NEWLINE,i.SPACE,e.text,i.MANDATORY_NEWLINE,i.INDENT):this.layout.add(e.text,i.MANDATORY_NEWLINE,i.INDENT)}formatBlockComment(e){this.isMultilineBlockComment(e)?(this.splitBlockComment(e.text).forEach(e=>{this.layout.add(i.NEWLINE,i.INDENT,e)}),this.layout.add(i.NEWLINE,i.INDENT)):this.layout.add(e.text,i.SPACE)}isMultilineBlockComment(e){return 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\ No newline at end of file diff --git a/dbgpt/app/static/database/index.html b/dbgpt/app/static/database/index.html index df61974ce..58149a7e7 100644 --- a/dbgpt/app/static/database/index.html +++ b/dbgpt/app/static/database/index.html @@ -1 +1 @@ -
MySQL

MySQL

Fast, reliable, scalable open-source relational database management system.

MSSQL

MSSQL

Powerful, scalable, secure relational database system by Microsoft.

DuckDB

DuckDB

In-memory analytical database with efficient query processing.

Sqlite

Sqlite

Lightweight embedded relational database with simplicity and portability.

ClickHouse

ClickHouse

Columnar database for high-performance analytics and real-time queries.

Oracle

Oracle

Robust, scalable, secure relational database widely used in enterprises.

Access

Access

Easy-to-use relational database for small-scale applications by Microsoft.

MongoDB

MongoDB

Flexible, scalable NoSQL document database for web and mobile apps.

ApacheDoris

ApacheDoris

A new-generation open-source real-time data warehouse.

StarRocks

StarRocks

An Open-Source, High-Performance Analytical Database.

DB2

DB2

Scalable, secure relational database system developed by IBM.

HBase

HBase

Distributed, scalable NoSQL database for large structured/semi-structured data.

Redis

Redis

Fast, versatile in-memory data structure store as cache, DB, or broker.

Cassandra

Cassandra

Scalable, fault-tolerant distributed NoSQL database for large data.

Couchbase

Couchbase

High-performance NoSQL document database with distributed architecture.

PostgreSQL

PostgreSQL

Powerful open-source relational database with extensibility and SQL standards.

Vertica

Vertica

Vertica is a strongly consistent, ACID-compliant, SQL data warehouse, built for the scale and complexity of today’s data-driven world.

Spark

Spark

Unified engine for large-scale data analytics.

Hive

Hive

A distributed fault-tolerant data warehouse system.

Space

Space

knowledge analytics.

TuGraph

TuGraph

TuGraph is a high-performance graph database jointly developed by Ant Group and Tsinghua University.

\ No newline at end of file +
MySQL

MySQL

Fast, reliable, scalable open-source relational database management system.

OceanBase

OceanBase

An Ultra-Fast & Cost-Effective Distributed SQL Database.

MSSQL

MSSQL

Powerful, scalable, secure relational database system by Microsoft.

DuckDB

DuckDB

In-memory analytical database with efficient query processing.

Sqlite

Sqlite

Lightweight embedded relational database with simplicity and portability.

ClickHouse

ClickHouse

Columnar database for high-performance analytics and real-time queries.

Oracle

Oracle

Robust, scalable, secure relational database widely used in enterprises.

Access

Access

Easy-to-use relational database for small-scale applications by Microsoft.

MongoDB

MongoDB

Flexible, scalable NoSQL document database for web and mobile apps.

ApacheDoris

ApacheDoris

A new-generation open-source real-time data warehouse.

StarRocks

StarRocks

An Open-Source, High-Performance Analytical Database.

DB2

DB2

Scalable, secure relational database system developed by IBM.

HBase

HBase

Distributed, scalable NoSQL database for large structured/semi-structured data.

Redis

Redis

Fast, versatile in-memory data structure store as cache, DB, or broker.

Cassandra

Cassandra

Scalable, fault-tolerant distributed NoSQL database for large data.

Couchbase

Couchbase

High-performance NoSQL document database with distributed architecture.

PostgreSQL

PostgreSQL

Powerful open-source relational database with extensibility and SQL standards.

Vertica

Vertica

Vertica is a strongly consistent, ACID-compliant, SQL data warehouse, built for the scale and complexity of today’s data-driven world.

Spark

Spark

Unified engine for large-scale data analytics.

Hive

Hive

A distributed fault-tolerant data warehouse system.

Space

Space

knowledge analytics.

TuGraph

TuGraph

TuGraph is a high-performance graph database jointly developed by Ant Group and Tsinghua University.

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React Flow
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React Flow
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\ No newline at end of file diff --git a/dbgpt/app/static/prompt/index.html b/dbgpt/app/static/prompt/index.html index ef46b3cbe..6f81af638 100644 --- a/dbgpt/app/static/prompt/index.html +++ b/dbgpt/app/static/prompt/index.html @@ -1 +1 @@ -
NameSceneSub SceneContentOperation
No data
\ No newline at end of file +
NameSceneSub SceneContentOperation
No data
\ No newline at end of file diff --git a/dbgpt/datasource/manages/connector_manager.py b/dbgpt/datasource/manages/connector_manager.py index fb9a2a4d9..debbc3481 100644 --- a/dbgpt/datasource/manages/connector_manager.py +++ b/dbgpt/datasource/manages/connector_manager.py @@ -49,6 +49,7 @@ def on_init(self): from dbgpt.datasource.rdbms.conn_hive import HiveConnector # noqa: F401 from dbgpt.datasource.rdbms.conn_mssql import MSSQLConnector # noqa: F401 from dbgpt.datasource.rdbms.conn_mysql import MySQLConnector # noqa: F401 + from dbgpt.datasource.rdbms.conn_oceanbase import OceanBaseConnect # noqa: F401 from dbgpt.datasource.rdbms.conn_postgresql import ( # noqa: F401 PostgreSQLConnector, ) @@ -57,6 +58,9 @@ def on_init(self): StarRocksConnector, ) from dbgpt.datasource.rdbms.conn_vertica import VerticaConnector # noqa: F401 + from dbgpt.datasource.rdbms.dialect.oceanbase.ob_dialect import ( # noqa: F401 + OBDialect, + ) from .connect_config_db import ConnectConfigEntity # noqa: F401 diff --git a/dbgpt/datasource/rdbms/conn_oceanbase.py b/dbgpt/datasource/rdbms/conn_oceanbase.py new file mode 100644 index 000000000..0eb81de8c --- /dev/null +++ b/dbgpt/datasource/rdbms/conn_oceanbase.py @@ -0,0 +1,37 @@ +"""Ocean base connect.""" + +import logging + +from dbgpt.datasource.rdbms.base import RDBMSConnector + +logger = logging.getLogger(__name__) + + +class OceanBaseConnect(RDBMSConnector): + """Connect Oceanbase Database fetch MetaData. + + Args: + Usage: + """ + + db_type: str = "oceanbase" + db_dialect: str = "mysql" + driver: str = "mysql+ob" + + default_db = ["information_schema", "performance_schema", "sys", "mysql"] + + def get_users(self): + """Get_users.""" + return [] + + def get_grants(self): + """Get_grants.""" + return [] + + def get_collation(self): + """Get collation.""" + return "UTF-8" + + def get_charset(self): + """Get_charset.""" + return "UTF-8" diff --git a/dbgpt/datasource/rdbms/dialect/oceanbase/__init__.py b/dbgpt/datasource/rdbms/dialect/oceanbase/__init__.py new file mode 100644 index 000000000..1f14e6ff5 --- /dev/null +++ b/dbgpt/datasource/rdbms/dialect/oceanbase/__init__.py @@ -0,0 +1 @@ +"""Oceanbase connect Module.""" diff --git a/dbgpt/datasource/rdbms/dialect/oceanbase/ob_dialect.py b/dbgpt/datasource/rdbms/dialect/oceanbase/ob_dialect.py new file mode 100644 index 000000000..a4d920351 --- /dev/null +++ b/dbgpt/datasource/rdbms/dialect/oceanbase/ob_dialect.py @@ -0,0 +1,26 @@ +"""OB Dialect support.""" + +from sqlalchemy.dialects import registry +from sqlalchemy.dialects.mysql import pymysql + + +class OBDialect(pymysql.MySQLDialect_pymysql): + """OBDialect expend.""" + + def initialize(self, connection): + """Ob dialect initialize.""" + super(OBDialect, self).initialize(connection) + self._server_version_info = (5, 7, 19) + self.server_version_info = (5, 7, 19) + + def _server_version_info(self, connection): + """Ob set fixed version ending compatibility issue.""" + return (5, 7, 19) + + def get_isolation_level(self, dbapi_connection): + """Ob set fixed version ending compatibility issue.""" + self.server_version_info = (5, 7, 19) + return super(OBDialect, self).get_isolation_level(dbapi_connection) + + +registry.register("mysql.ob", __name__, "OBDialect") diff --git a/dbgpt/model/adapter/hf_adapter.py b/dbgpt/model/adapter/hf_adapter.py index d71453e54..3576bb706 100644 --- a/dbgpt/model/adapter/hf_adapter.py +++ b/dbgpt/model/adapter/hf_adapter.py @@ -315,7 +315,6 @@ def do_match(self, lower_model_name_or_path: Optional[str] = None): class Qwen2Adapter(QwenAdapter): - support_4bit: bool = True support_8bit: bool = True diff --git a/dbgpt/model/proxy/llms/zhipu.py b/dbgpt/model/proxy/llms/zhipu.py index dc1c9b666..bf33f32ef 100644 --- a/dbgpt/model/proxy/llms/zhipu.py +++ b/dbgpt/model/proxy/llms/zhipu.py @@ -99,7 +99,6 @@ def sync_generate_stream( request: ModelRequest, message_converter: Optional[MessageConverter] = None, ) -> Iterator[ModelOutput]: - request = self.local_covert_message(request, message_converter) messages = request.to_common_messages(support_system_role=False) diff --git a/dbgpt/rag/embedding/embeddings.py b/dbgpt/rag/embedding/embeddings.py index 2457cd8f7..a73cd7890 100644 --- a/dbgpt/rag/embedding/embeddings.py +++ b/dbgpt/rag/embedding/embeddings.py @@ -90,9 +90,9 @@ def __init__(self, **kwargs: Any): ) from exc kwargs["client"] = sentence_transformers.SentenceTransformer( - kwargs.get("model_name"), + kwargs.get("model_name") or DEFAULT_MODEL_NAME, cache_folder=kwargs.get("cache_folder"), - **kwargs.get("model_kwargs"), + **(kwargs.get("model_kwargs") or {}), ) super().__init__(**kwargs) diff --git a/dbgpt/rag/embedding/rerank.py b/dbgpt/rag/embedding/rerank.py index 5d901f7b9..a226f89c8 100644 --- a/dbgpt/rag/embedding/rerank.py +++ b/dbgpt/rag/embedding/rerank.py @@ -3,6 +3,7 @@ from typing import Any, Dict, List, Optional, cast import aiohttp +import numpy as np import requests from dbgpt._private.pydantic import EXTRA_FORBID, BaseModel, ConfigDict, Field @@ -16,7 +17,7 @@ class CrossEncoderRerankEmbeddings(BaseModel, RerankEmbeddings): client: Any #: :meta private: model_name: str = "BAAI/bge-reranker-base" - max_length: Optional[int] = None + max_length: int """Max length for input sequences. Longer sequences will be truncated. If None, max length of the model will be used""" """Model name to use.""" @@ -33,9 +34,9 @@ def __init__(self, **kwargs: Any): ) kwargs["client"] = CrossEncoder( - kwargs.get("model_name"), + kwargs.get("model_name", "BAAI/bge-reranker-base"), max_length=kwargs.get("max_length"), - **kwargs.get("model_kwargs"), + **(kwargs.get("model_kwargs") or {}), ) super().__init__(**kwargs) @@ -54,7 +55,9 @@ def predict(self, query: str, candidates: List[str]) -> List[float]: query_content_pairs = [[query, candidate] for candidate in candidates] _model = cast(CrossEncoder, self.client) rank_scores = _model.predict(sentences=query_content_pairs) - return rank_scores.tolist() + if isinstance(rank_scores, np.ndarray): + rank_scores = rank_scores.tolist() + return rank_scores class OpenAPIRerankEmbeddings(BaseModel, RerankEmbeddings): diff --git a/dbgpt/rag/retriever/rerank.py b/dbgpt/rag/retriever/rerank.py index 39485d835..a328cae33 100644 --- a/dbgpt/rag/retriever/rerank.py +++ b/dbgpt/rag/retriever/rerank.py @@ -244,8 +244,8 @@ def rank( contents = [candidate.content for candidate in candidates_with_scores] query_content_pairs = [ [ - query, - content, + query if query is not None else "", + content if content is not None else "", ] for content in contents ] diff --git a/dbgpt/storage/schema.py b/dbgpt/storage/schema.py index be604dea5..6052de228 100644 --- a/dbgpt/storage/schema.py +++ b/dbgpt/storage/schema.py @@ -16,8 +16,8 @@ def __init__(self, name, is_file_db: bool = False): class DBType(Enum): """Database type enumeration.""" - Mysql = DbInfo("mysql") - OCeanBase = DbInfo("oceanbase") + MySQL = DbInfo("mysql") + OceanBase = DbInfo("oceanbase") DuckDb = DbInfo("duckdb", True) SQLite = DbInfo("sqlite", True) Oracle = DbInfo("oracle") diff --git a/examples/agents/sql_agent_dialogue_example.py b/examples/agents/sql_agent_dialogue_example.py index fea102f18..b6dbfc79a 100644 --- a/examples/agents/sql_agent_dialogue_example.py +++ b/examples/agents/sql_agent_dialogue_example.py @@ -30,7 +30,6 @@ async def main(): - from dbgpt.model.proxy import OpenAILLMClient llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo") diff --git a/web/public/icons/oceanbase.png b/web/public/icons/oceanbase.png new file mode 100644 index 000000000..9d43ce829 Binary files /dev/null and b/web/public/icons/oceanbase.png differ diff --git a/web/utils/constants.ts b/web/utils/constants.ts index 8c5876da4..11c594b58 100644 --- a/web/utils/constants.ts +++ b/web/utils/constants.ts @@ -45,6 +45,7 @@ export const MODEL_ICON_MAP: Record export const dbMapper: Record = { mysql: { label: 'MySQL', icon: '/icons/mysql.png', desc: 'Fast, reliable, scalable open-source relational database management system.' }, + oceanbase: { label: 'OceanBase', icon: '/icons/oceanbase.png', desc: 'An Ultra-Fast & Cost-Effective Distributed SQL Database.' }, mssql: { label: 'MSSQL', icon: '/icons/mssql.png', desc: 'Powerful, scalable, secure relational database system by Microsoft.' }, duckdb: { label: 'DuckDB', icon: '/icons/duckdb.png', desc: 'In-memory analytical database with efficient query processing.' }, sqlite: { label: 'Sqlite', icon: '/icons/sqlite.png', desc: 'Lightweight embedded relational database with simplicity and portability.' },