Merge pull request #833 from danielaskdd/import-as-needed
Implement dynamic database module imports
This commit is contained in:
Yannick Stephan
GitHub
@@ -41,25 +41,35 @@ from .ollama_api import (
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OllamaAPI,
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)
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from .ollama_api import ollama_server_infos
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from ..kg.postgres_impl import (
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PostgreSQLDB,
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PGKVStorage,
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PGVectorStorage,
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PGGraphStorage,
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PGDocStatusStorage,
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)
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from ..kg.oracle_impl import (
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OracleDB,
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OracleKVStorage,
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OracleVectorDBStorage,
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OracleGraphStorage,
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)
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from ..kg.tidb_impl import (
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TiDB,
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TiDBKVStorage,
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TiDBVectorDBStorage,
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TiDBGraphStorage,
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)
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def get_db_type_from_storage_class(class_name: str) -> str | None:
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"""Determine database type based on storage class name"""
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if class_name.startswith("PG"):
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return "postgres"
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elif class_name.startswith("Oracle"):
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return "oracle"
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elif class_name.startswith("TiDB"):
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return "tidb"
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return None
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def import_db_module(db_type: str):
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"""Dynamically import database module"""
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if db_type == "postgres":
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from ..kg.postgres_impl import PostgreSQLDB
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return PostgreSQLDB
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elif db_type == "oracle":
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from ..kg.oracle_impl import OracleDB
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return OracleDB
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elif db_type == "tidb":
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from ..kg.tidb_impl import TiDB
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return TiDB
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return None
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# Load environment variables
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try:
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@@ -333,28 +343,28 @@ def parse_args() -> argparse.Namespace:
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default=get_env_value(
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"LIGHTRAG_KV_STORAGE", DefaultRAGStorageConfig.KV_STORAGE
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),
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help=f"KV存储实现 (default: {DefaultRAGStorageConfig.KV_STORAGE})",
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help=f"KV storage implementation (default: {DefaultRAGStorageConfig.KV_STORAGE})",
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)
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parser.add_argument(
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"--doc-status-storage",
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default=get_env_value(
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"LIGHTRAG_DOC_STATUS_STORAGE", DefaultRAGStorageConfig.DOC_STATUS_STORAGE
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),
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help=f"文档状态存储实现 (default: {DefaultRAGStorageConfig.DOC_STATUS_STORAGE})",
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help=f"Document status storage implementation (default: {DefaultRAGStorageConfig.DOC_STATUS_STORAGE})",
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)
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parser.add_argument(
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"--graph-storage",
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default=get_env_value(
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"LIGHTRAG_GRAPH_STORAGE", DefaultRAGStorageConfig.GRAPH_STORAGE
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),
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help=f"图存储实现 (default: {DefaultRAGStorageConfig.GRAPH_STORAGE})",
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help=f"Graph storage implementation (default: {DefaultRAGStorageConfig.GRAPH_STORAGE})",
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)
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parser.add_argument(
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"--vector-storage",
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default=get_env_value(
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"LIGHTRAG_VECTOR_STORAGE", DefaultRAGStorageConfig.VECTOR_STORAGE
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),
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help=f"向量存储实现 (default: {DefaultRAGStorageConfig.VECTOR_STORAGE})",
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help=f"Vector storage implementation (default: {DefaultRAGStorageConfig.VECTOR_STORAGE})",
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)
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# Bindings configuration
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@@ -788,6 +798,36 @@ class InsertResponse(BaseModel):
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class DocStatusResponse(BaseModel):
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@staticmethod
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def format_datetime(dt: Any) -> Optional[str]:
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"""Format datetime to ISO string
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Args:
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dt: Datetime object or string
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Returns:
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Formatted datetime string or None
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"""
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if dt is None:
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return None
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if isinstance(dt, str):
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return dt
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return dt.isoformat()
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"""Response model for document status
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Attributes:
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id: Document identifier
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content_summary: Summary of document content
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content_length: Length of document content
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status: Current processing status
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created_at: Creation timestamp (ISO format string)
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updated_at: Last update timestamp (ISO format string)
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chunks_count: Number of chunks (optional)
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error: Error message if any (optional)
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metadata: Additional metadata (optional)
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"""
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id: str
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content_summary: str
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content_length: int
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@@ -890,72 +930,51 @@ def create_app(args):
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async def lifespan(app: FastAPI):
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"""Lifespan context manager for startup and shutdown events"""
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# Initialize database connections
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postgres_db = None
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oracle_db = None
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tidb_db = None
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db_instances = {}
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# Store background tasks
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app.state.background_tasks = set()
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try:
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# Check if PostgreSQL is needed
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if any(
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isinstance(
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storage_instance,
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(PGKVStorage, PGVectorStorage, PGGraphStorage, PGDocStatusStorage),
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)
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for _, storage_instance in storage_instances
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):
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postgres_db = PostgreSQLDB(_get_postgres_config())
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await postgres_db.initdb()
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await postgres_db.check_tables()
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# Check which database types are used
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db_types = set()
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for storage_name, storage_instance in storage_instances:
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if isinstance(
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storage_instance,
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(
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PGKVStorage,
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PGVectorStorage,
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PGGraphStorage,
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PGDocStatusStorage,
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),
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):
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storage_instance.db = postgres_db
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logger.info(f"Injected postgres_db to {storage_name}")
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db_type = get_db_type_from_storage_class(
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storage_instance.__class__.__name__
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)
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if db_type:
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db_types.add(db_type)
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# Check if Oracle is needed
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if any(
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isinstance(
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storage_instance,
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(OracleKVStorage, OracleVectorDBStorage, OracleGraphStorage),
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)
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for _, storage_instance in storage_instances
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):
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oracle_db = OracleDB(_get_oracle_config())
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await oracle_db.check_tables()
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for storage_name, storage_instance in storage_instances:
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if isinstance(
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storage_instance,
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(OracleKVStorage, OracleVectorDBStorage, OracleGraphStorage),
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):
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storage_instance.db = oracle_db
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logger.info(f"Injected oracle_db to {storage_name}")
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# Import and initialize databases as needed
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for db_type in db_types:
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if db_type == "postgres":
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DB = import_db_module("postgres")
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db = DB(_get_postgres_config())
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await db.initdb()
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await db.check_tables()
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db_instances["postgres"] = db
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elif db_type == "oracle":
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DB = import_db_module("oracle")
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db = DB(_get_oracle_config())
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await db.check_tables()
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db_instances["oracle"] = db
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elif db_type == "tidb":
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DB = import_db_module("tidb")
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db = DB(_get_tidb_config())
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await db.check_tables()
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db_instances["tidb"] = db
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# Check if TiDB is needed
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if any(
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isinstance(
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storage_instance,
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(TiDBKVStorage, TiDBVectorDBStorage, TiDBGraphStorage),
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)
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for _, storage_instance in storage_instances
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):
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tidb_db = TiDB(_get_tidb_config())
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await tidb_db.check_tables()
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# Inject database instances into storage classes
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for storage_name, storage_instance in storage_instances:
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if isinstance(
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storage_instance,
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(TiDBKVStorage, TiDBVectorDBStorage, TiDBGraphStorage),
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):
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storage_instance.db = tidb_db
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logger.info(f"Injected tidb_db to {storage_name}")
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db_type = get_db_type_from_storage_class(
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storage_instance.__class__.__name__
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)
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if db_type:
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if db_type not in db_instances:
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error_msg = f"Database type '{db_type}' is required by {storage_name} but not initialized"
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logger.error(error_msg)
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raise RuntimeError(error_msg)
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storage_instance.db = db_instances[db_type]
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logger.info(f"Injected {db_type} db to {storage_name}")
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# Auto scan documents if enabled
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if args.auto_scan_at_startup:
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@@ -981,17 +1000,17 @@ def create_app(args):
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finally:
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# Clean up database connections
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if postgres_db and hasattr(postgres_db, "pool"):
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await postgres_db.pool.close()
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logger.info("Closed PostgreSQL connection pool")
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if oracle_db and hasattr(oracle_db, "pool"):
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await oracle_db.pool.close()
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logger.info("Closed Oracle connection pool")
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if tidb_db and hasattr(tidb_db, "pool"):
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await tidb_db.pool.close()
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logger.info("Closed TiDB connection pool")
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for db_type, db in db_instances.items():
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if hasattr(db, "pool"):
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await db.pool.close()
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# Use more accurate database name display
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db_names = {
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"postgres": "PostgreSQL",
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"oracle": "Oracle",
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"tidb": "TiDB",
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}
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db_name = db_names.get(db_type, db_type)
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logger.info(f"Closed {db_name} database connection pool")
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# Initialize FastAPI
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app = FastAPI(
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@@ -1311,7 +1330,7 @@ def create_app(args):
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case ".pdf":
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if not pm.is_installed("pypdf2"):
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pm.install("pypdf2")
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from PyPDF2 import PdfReader
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from PyPDF2 import PdfReader # type: ignore
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from io import BytesIO
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pdf_file = BytesIO(file)
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@@ -1869,8 +1888,12 @@ def create_app(args):
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content_summary=doc_status.content_summary,
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content_length=doc_status.content_length,
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status=doc_status.status,
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created_at=doc_status.created_at,
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updated_at=doc_status.updated_at,
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created_at=DocStatusResponse.format_datetime(
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doc_status.created_at
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),
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updated_at=DocStatusResponse.format_datetime(
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doc_status.updated_at
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),
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chunks_count=doc_status.chunks_count,
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error=doc_status.error,
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metadata=doc_status.metadata,
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@@ -1,6 +1,5 @@
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ascii_colors
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fastapi
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nest_asyncio
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numpy
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pipmaster
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python-dotenv
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