fix: add pipeline_name to PipelineRun and change logging default to ERROR (#675)

<!-- .github/pull_request_template.md -->

## Description
<!-- Provide a clear description of the changes in this PR -->

## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.

.github/pull_request_template.md

@@ -4,4 +4,4 @@
 <!-- Provide a clear description of the changes in this PR -->
 
 ## DCO Affirmation
-I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin
+I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin.

cognee/api/v1/add/__init__.py

@@ -1 +1 @@
-from .add_v2 import add
+from .add import add

cognee/api/v1/add/add.py

@@ -1,176 +1,47 @@
-from typing import List, Union, BinaryIO
+from typing import Union, BinaryIO
-from os import path
-import asyncio
-import dlt
-
-import cognee.modules.ingestion as ingestion
-from cognee.infrastructure.files.storage import LocalStorage
-from cognee.modules.ingestion import get_matched_datasets, save_data_to_file
-from cognee.shared.utils import send_telemetry
-from cognee.base_config import get_base_config
-from cognee.infrastructure.databases.relational import get_relational_engine
-from cognee.modules.users.methods import get_default_user
-from cognee.tasks.ingestion import get_dlt_destination
-from cognee.modules.users.permissions.methods import give_permission_on_document
 from cognee.modules.users.models import User
-from cognee.modules.data.methods import create_dataset
+from cognee.modules.users.methods import get_default_user
+from cognee.modules.pipelines import run_tasks, Task
+from cognee.tasks.ingestion import ingest_data, resolve_data_directories
 from cognee.infrastructure.databases.relational import (
     create_db_and_tables as create_relational_db_and_tables,
 )
 from cognee.infrastructure.databases.vector.pgvector import (
     create_db_and_tables as create_pgvector_db_and_tables,
 )
+from uuid import uuid5, NAMESPACE_OID
 
 
 async def add(
-    data: Union[BinaryIO, List[BinaryIO], str, List[str]],
+    data: Union[BinaryIO, list[BinaryIO], str, list[str]],
     dataset_name: str = "main_dataset",
     user: User = None,
 ):
+    # Create tables for databases
     await create_relational_db_and_tables()
     await create_pgvector_db_and_tables()
 
-    if isinstance(data, str):
+    # Initialize first_run attribute if it doesn't exist
-        if "data://" in data:
+    if not hasattr(add, "first_run"):
-            # data is a data directory path
+        add.first_run = True
-            datasets = get_matched_datasets(data.replace("data://", ""), dataset_name)
-            return await asyncio.gather(
-                *[add(file_paths, dataset_name) for [dataset_name, file_paths] in datasets]
-            )
 
-        if "file://" in data:
+    if add.first_run:
-            # data is a file path
+        from cognee.infrastructure.llm.utils import test_llm_connection, test_embedding_connection
-            return await add([data], dataset_name)
 
-        # data is text
+        # Test LLM and Embedding configuration once before running Cognee
-        else:
+        await test_llm_connection()
-            file_path = save_data_to_file(data)
+        await test_embedding_connection()
-            return await add([file_path], dataset_name)
+        add.first_run = False  # Update flag after first run
 
-    if hasattr(data, "file"):
-        file_path = save_data_to_file(data.file, filename=data.filename)
-        return await add([file_path], dataset_name)
-
-    # data is a list of file paths or texts
-    file_paths = []
-
-    for data_item in data:
-        if hasattr(data_item, "file"):
-            file_paths.append(save_data_to_file(data_item, filename=data_item.filename))
-        elif isinstance(data_item, str) and (
-            data_item.startswith("/") or data_item.startswith("file://")
-        ):
-            file_paths.append(data_item)
-        elif isinstance(data_item, str):
-            file_paths.append(save_data_to_file(data_item))
-
-    if len(file_paths) > 0:
-        return await add_files(file_paths, dataset_name, user)
-
-    return []
-
-
-async def add_files(file_paths: List[str], dataset_name: str, user: User = None):
     if user is None:
         user = await get_default_user()
 
-    base_config = get_base_config()
+    tasks = [Task(resolve_data_directories), Task(ingest_data, dataset_name, user)]
-    data_directory_path = base_config.data_root_directory
 
-    processed_file_paths = []
+    dataset_id = uuid5(NAMESPACE_OID, dataset_name)
-
+    pipeline = run_tasks(
-    for file_path in file_paths:
+        tasks=tasks, dataset_id=dataset_id, data=data, pipeline_name="add_pipeline"
-        file_path = file_path.replace("file://", "")
-
-        if data_directory_path not in file_path:
-            file_name = file_path.split("/")[-1]
-            file_directory_path = (
-                data_directory_path
-                + "/"
-                + (dataset_name.replace(".", "/") + "/" if dataset_name != "main_dataset" else "")
-            )
-            dataset_file_path = path.join(file_directory_path, file_name)
-
-            LocalStorage.ensure_directory_exists(file_directory_path)
-
-            LocalStorage.copy_file(file_path, dataset_file_path)
-            processed_file_paths.append(dataset_file_path)
-        else:
-            processed_file_paths.append(file_path)
-
-    destination = get_dlt_destination()
-
-    pipeline = dlt.pipeline(
-        pipeline_name="file_load_from_filesystem",
-        destination=destination,
     )
 
-    dataset_name = (
+    async for pipeline_status in pipeline:
-        dataset_name.replace(" ", "_").replace(".", "_")
+        print(f"Pipeline run status: {pipeline_status.pipeline_name} - {pipeline_status.status}")
-        if dataset_name is not None
-        else "main_dataset"
-    )
-
-    @dlt.resource(standalone=True, merge_key="id")
-    async def data_resources(file_paths: str, user: User):
-        for file_path in file_paths:
-            with open(file_path.replace("file://", ""), mode="rb") as file:
-                classified_data = ingestion.classify(file)
-
-                data_id = ingestion.identify(classified_data)
-
-                file_metadata = classified_data.get_metadata()
-
-                from sqlalchemy import select
-                from cognee.modules.data.models import Data
-
-                db_engine = get_relational_engine()
-
-                async with db_engine.get_async_session() as session:
-                    dataset = await create_dataset(dataset_name, user.id, session)
-
-                    data = (
-                        await session.execute(select(Data).filter(Data.id == data_id))
-                    ).scalar_one_or_none()
-
-                    if data is not None:
-                        data.name = file_metadata["name"]
-                        data.raw_data_location = file_metadata["file_path"]
-                        data.extension = file_metadata["extension"]
-                        data.mime_type = file_metadata["mime_type"]
-
-                        await session.merge(data)
-                        await session.commit()
-                    else:
-                        data = Data(
-                            id=data_id,
-                            name=file_metadata["name"],
-                            raw_data_location=file_metadata["file_path"],
-                            extension=file_metadata["extension"],
-                            mime_type=file_metadata["mime_type"],
-                        )
-
-                        dataset.data.append(data)
-                        await session.commit()
-
-                yield {
-                    "id": data_id,
-                    "name": file_metadata["name"],
-                    "file_path": file_metadata["file_path"],
-                    "extension": file_metadata["extension"],
-                    "mime_type": file_metadata["mime_type"],
-                }
-
-                await give_permission_on_document(user, data_id, "read")
-                await give_permission_on_document(user, data_id, "write")
-
-    send_telemetry("cognee.add EXECUTION STARTED", user_id=user.id)
-    run_info = pipeline.run(
-        data_resources(processed_file_paths, user),
-        table_name="file_metadata",
-        dataset_name=dataset_name,
-        write_disposition="merge",
-    )
-    send_telemetry("cognee.add EXECUTION COMPLETED", user_id=user.id)
-
-    return run_info

cognee/api/v1/add/add_v2.py

@@ -1,47 +0,0 @@
-from typing import Union, BinaryIO
-from cognee.modules.users.models import User
-from cognee.modules.users.methods import get_default_user
-from cognee.modules.pipelines import run_tasks, Task
-from cognee.tasks.ingestion import ingest_data, resolve_data_directories
-from cognee.infrastructure.databases.relational import (
-    create_db_and_tables as create_relational_db_and_tables,
-)
-from cognee.infrastructure.databases.vector.pgvector import (
-    create_db_and_tables as create_pgvector_db_and_tables,
-)
-from uuid import uuid5, NAMESPACE_OID
-
-
-async def add(
-    data: Union[BinaryIO, list[BinaryIO], str, list[str]],
-    dataset_name: str = "main_dataset",
-    user: User = None,
-):
-    # Create tables for databases
-    await create_relational_db_and_tables()
-    await create_pgvector_db_and_tables()
-
-    # Initialize first_run attribute if it doesn't exist
-    if not hasattr(add, "first_run"):
-        add.first_run = True
-
-    if add.first_run:
-        from cognee.infrastructure.llm.utils import test_llm_connection, test_embedding_connection
-
-        # Test LLM and Embedding configuration once before running Cognee
-        await test_llm_connection()
-        await test_embedding_connection()
-        add.first_run = False  # Update flag after first run
-
-    if user is None:
-        user = await get_default_user()
-
-    tasks = [Task(resolve_data_directories), Task(ingest_data, dataset_name, user)]
-
-    dataset_id = uuid5(NAMESPACE_OID, dataset_name)
-    pipeline = run_tasks(
-        tasks=tasks, dataset_id=dataset_id, data=data, pipeline_name="add_pipeline"
-    )
-
-    async for result in pipeline:
-        print(result)

cognee/infrastructure/databases/graph/networkx/adapter.py

@@ -5,7 +5,6 @@ import os
 import json
 import asyncio
 from cognee.shared.logging_utils import get_logger
-from sqlalchemy import text
 from typing import Dict, Any, List, Union
 from uuid import UUID
 import aiofiles

cognee/infrastructure/databases/relational/create_db_and_tables.py

@@ -1,15 +1,7 @@
-from cognee.infrastructure.files.storage import LocalStorage
+from .get_relational_engine import get_relational_engine
-from .ModelBase import Base
-from .get_relational_engine import get_relational_engine, get_relational_config
 
 
 async def create_db_and_tables():
-    relational_config = get_relational_config()
     relational_engine = get_relational_engine()
 
-    if relational_engine.engine.dialect.name == "sqlite":
+    await relational_engine.create_database()
-        LocalStorage.ensure_directory_exists(relational_config.db_path)
-
-    async with relational_engine.engine.begin() as connection:
-        if len(Base.metadata.tables.keys()) > 0:
-            await connection.run_sync(Base.metadata.create_all)

cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py

@@ -307,7 +307,7 @@ class SQLAlchemyAdapter:
                 raise e
 
     async def create_database(self):
-        if self.engine.dialect.name == "sqlite":
+        if self.engine.dialect.name == "sqlite" and not os.path.exists(self.db_path):
             from cognee.infrastructure.files.storage import LocalStorage
 
             db_directory = path.dirname(self.db_path)
@@ -322,7 +322,9 @@ class SQLAlchemyAdapter:
             if self.engine.dialect.name == "sqlite":
                 from cognee.infrastructure.files.storage import LocalStorage
 
-                LocalStorage.remove(self.db_path)
+                await self.engine.dispose(close=True)
+                with open(self.db_path, "w") as file:
+                    file.write("")
             else:
                 async with self.engine.begin() as connection:
                     schema_list = await self.get_schema_list()

cognee/modules/pipelines/models/PipelineRun.py

@@ -20,6 +20,7 @@ class PipelineRun(Base):
 
     status = Column(Enum(PipelineRunStatus))
     pipeline_run_id = Column(UUID, index=True)
+    pipeline_name = Column(String)
     pipeline_id = Column(UUID, index=True)
     dataset_id = Column(UUID, index=True)
     run_info = Column(JSON)

cognee/modules/pipelines/operations/log_pipeline_run_complete.py

@@ -1,4 +1,4 @@
-from uuid import UUID, uuid4
+from uuid import UUID
 from cognee.infrastructure.databases.relational import get_relational_engine
 from cognee.modules.data.models import Data
 from cognee.modules.pipelines.models import PipelineRun, PipelineRunStatus
@@ -6,7 +6,7 @@ from typing import Any
 
 
 async def log_pipeline_run_complete(
-    pipeline_run_id: UUID, pipeline_id: str, dataset_id: UUID, data: Any
+    pipeline_run_id: UUID, pipeline_id: str, pipeline_name: str, dataset_id: UUID, data: Any
 ):
     if not data:
         data_info = "None"
@@ -17,6 +17,7 @@ async def log_pipeline_run_complete(
 
     pipeline_run = PipelineRun(
         pipeline_run_id=pipeline_run_id,
+        pipeline_name=pipeline_name,
         pipeline_id=pipeline_id,
         status=PipelineRunStatus.DATASET_PROCESSING_COMPLETED,
         dataset_id=dataset_id,

cognee/modules/pipelines/operations/log_pipeline_run_error.py

@@ -1,4 +1,4 @@
-from uuid import UUID, uuid4
+from uuid import UUID
 from cognee.infrastructure.databases.relational import get_relational_engine
 from cognee.modules.data.models import Data
 from cognee.modules.pipelines.models import PipelineRun, PipelineRunStatus
@@ -6,7 +6,12 @@ from typing import Any
 
 
 async def log_pipeline_run_error(
-    pipeline_run_id: UUID, pipeline_id: str, dataset_id: UUID, data: Any, e: Exception
+    pipeline_run_id: UUID,
+    pipeline_id: str,
+    pipeline_name: str,
+    dataset_id: UUID,
+    data: Any,
+    e: Exception,
 ):
     if not data:
         data_info = "None"
@@ -17,6 +22,7 @@ async def log_pipeline_run_error(
 
     pipeline_run = PipelineRun(
         pipeline_run_id=pipeline_run_id,
+        pipeline_name=pipeline_name,
         pipeline_id=pipeline_id,
         status=PipelineRunStatus.DATASET_PROCESSING_ERRORED,
         dataset_id=dataset_id,

cognee/modules/pipelines/operations/log_pipeline_run_start.py

@@ -5,7 +5,7 @@ from cognee.modules.pipelines.models import PipelineRun, PipelineRunStatus
 from typing import Any
 
 
-async def log_pipeline_run_start(pipeline_id: str, dataset_id: UUID, data: Any):
+async def log_pipeline_run_start(pipeline_id: str, pipeline_name: str, dataset_id: UUID, data: Any):
     if not data:
         data_info = "None"
     elif isinstance(data, list) and all(isinstance(item, Data) for item in data):
@@ -17,6 +17,7 @@ async def log_pipeline_run_start(pipeline_id: str, dataset_id: UUID, data: Any):
 
     pipeline_run = PipelineRun(
         pipeline_run_id=pipeline_run_id,
+        pipeline_name=pipeline_name,
         pipeline_id=pipeline_id,
         status=PipelineRunStatus.DATASET_PROCESSING_STARTED,
         dataset_id=dataset_id,

cognee/modules/pipelines/operations/run_tasks.py

@@ -277,7 +277,7 @@ async def run_tasks(
 ):
     pipeline_id = uuid5(NAMESPACE_OID, pipeline_name)
 
-    pipeline_run = await log_pipeline_run_start(pipeline_id, dataset_id, data)
+    pipeline_run = await log_pipeline_run_start(pipeline_id, pipeline_name, dataset_id, data)
 
     yield pipeline_run
     pipeline_run_id = pipeline_run.pipeline_run_id
@@ -286,8 +286,12 @@ async def run_tasks(
         async for _ in run_tasks_with_telemetry(tasks, data, pipeline_id):
             pass
 
-        yield await log_pipeline_run_complete(pipeline_run_id, pipeline_id, dataset_id, data)
+        yield await log_pipeline_run_complete(
+            pipeline_run_id, pipeline_id, pipeline_name, dataset_id, data
+        )
 
     except Exception as e:
-        yield await log_pipeline_run_error(pipeline_run_id, pipeline_id, dataset_id, data, e)
+        yield await log_pipeline_run_error(
+            pipeline_run_id, pipeline_id, pipeline_name, dataset_id, data, e
+        )
         raise e

cognee/shared/logging_utils.py

@@ -1,5 +1,5 @@
-import sys
 import os
+import sys
 import threading
 import logging
 import structlog
@@ -14,6 +14,15 @@ WARNING = logging.WARNING
 ERROR = logging.ERROR
 CRITICAL = logging.CRITICAL
 
+log_levels = {
+    "CRITICAL": logging.CRITICAL,
+    "ERROR": logging.ERROR,
+    "WARNING": logging.WARNING,
+    "INFO": logging.INFO,
+    "DEBUG": logging.DEBUG,
+    "NOTSET": logging.NOTSET,
+}
+
 # Track if logging has been configured
 _is_configured = False
 
@@ -108,12 +117,12 @@ class PlainFileHandler(logging.FileHandler):
             self.flush()
 
 
-def get_logger(name=None, level=INFO):
+def get_logger(name=None, level=None):
     """Get a configured structlog logger.
 
     Args:
         name: Logger name (default: None, uses __name__)
-        level: Logging level (default: INFO)
+        level: Logging level (default: None)
 
     Returns:
         A configured structlog logger instance
@@ -164,17 +173,19 @@ def cleanup_old_logs(logs_dir, max_files):
         return False
 
 
-def setup_logging(log_level=INFO, name=None):
+def setup_logging(log_level=None, name=None):
     """Sets up the logging configuration with structlog integration.
 
     Args:
-        log_level: The logging level to use (default: INFO)
+        log_level: The logging level to use (default: None, uses INFO)
         name: Optional logger name (default: None, uses __name__)
 
     Returns:
         A configured structlog logger instance
     """
 
+    log_level = log_level if log_level else log_levels[os.getenv("LOG_LEVEL", "INFO")]
+
     def exception_handler(logger, method_name, event_dict):
         """Custom processor to handle uncaught exceptions."""
         # Check if there's an exc_info that needs to be processed
@@ -274,6 +285,17 @@ def setup_logging(log_level=INFO, name=None):
     root_logger.addHandler(file_handler)
     root_logger.setLevel(log_level)
 
+    if log_level > logging.WARNING:
+        import warnings
+        from sqlalchemy.exc import SAWarning
+
+        warnings.filterwarnings(
+            "ignore", category=SAWarning, module="dlt.destinations.impl.sqlalchemy.merge_job"
+        )
+        warnings.filterwarnings(
+            "ignore", category=SAWarning, module="dlt.destinations.impl.sqlalchemy.load_jobs"
+        )
+
     # Clean up old log files, keeping only the most recent ones
     cleanup_old_logs(LOGS_DIR, MAX_LOG_FILES)
 

cognee/tasks/ingestion/ingest_data.py

@@ -18,7 +18,7 @@ async def ingest_data(data: Any, dataset_name: str, user: User):
     destination = get_dlt_destination()
 
     pipeline = dlt.pipeline(
-        pipeline_name="file_load_from_filesystem",
+        pipeline_name="metadata_extraction_pipeline",
         destination=destination,
     )
 
@@ -119,6 +119,7 @@ async def ingest_data(data: Any, dataset_name: str, user: User):
 
                 await give_permission_on_document(user, data_id, "read")
                 await give_permission_on_document(user, data_id, "write")
+
         return file_paths
 
     db_engine = get_relational_engine()

cognee/tests/test_library.py

@@ -89,9 +89,9 @@ async def main():
 
     from cognee.infrastructure.databases.relational import get_relational_engine
 
-    assert not os.path.exists(get_relational_engine().db_path), (
+    with open(get_relational_engine().db_path, "r") as file:
-        "SQLite relational database is not empty"
+        content = file.read()
-    )
+        assert content == "", "SQLite relational database is not empty"
 
     from cognee.infrastructure.databases.graph import get_graph_config
 

cognee/tests/test_neo4j.py

@@ -86,7 +86,7 @@ async def main():
     user = await get_default_user()
     history = await get_history(user.id)
 
-    assert len(history) == 10, "Search history is not correct."
+    assert len(history) == 8, "Search history is not correct."
 
     await cognee.prune.prune_data()
     assert not os.path.isdir(data_directory_path), "Local data files are not deleted"

poetry.lock

@@ -1692,14 +1692,14 @@ files = [
 
 [[package]]
 name = "dlt"
-version = "1.8.1"
+version = "1.9.0"
 description = "dlt is an open-source python-first scalable data loading library that does not require any backend to run."
 optional = false
 python-versions = "<3.14,>=3.9"
 groups = ["main"]
 files = [
-    {file = "dlt-1.8.1-py3-none-any.whl", hash = "sha256:154699cc70e4263a294b576ca8d22bb7e153bfb872acabba08fcfecd9b9d285a"},
+    {file = "dlt-1.9.0-py3-none-any.whl", hash = "sha256:4b95f5ba243a4b694d33915145d71ed389499e68e76693b80219de53108a31b8"},
-    {file = "dlt-1.8.1.tar.gz", hash = "sha256:6ff9c56d7ea416cd01bce874348023042a441d6f83b35495d234efd709d9fd77"},
+    {file = "dlt-1.9.0.tar.gz", hash = "sha256:d274e9de1e993a2cf21862c9c34a457fa4ba3794e9be379d8f5a7530fbc709e9"},
 ]
 
 [package.dependencies]
@@ -1728,6 +1728,7 @@ semver = ">=3.0.0"
 setuptools = ">=65.6.0"
 simplejson = ">=3.17.5"
 sqlalchemy = {version = ">=1.4", optional = true, markers = "extra == \"sql-database\" or extra == \"sqlalchemy\" or extra == \"pyiceberg\""}
+sqlglot = ">=23.0.0"
 tenacity = ">=8.0.2"
 tomlkit = ">=0.11.3"
 typing-extensions = ">=4.8.0"
@@ -1744,7 +1745,7 @@ databricks = ["databricks-sdk (>=0.38.0)", "databricks-sql-connector (>=2.9.3,<4
 deltalake = ["deltalake (>=0.21.0)", "pyarrow (>=12.0.0,<18) ; python_version >= \"3.9\" and python_version < \"3.13\"", "pyarrow (>=18.0.0) ; python_version >= \"3.13\""]
 dremio = ["pyarrow (>=12.0.0,<18) ; python_version >= \"3.9\" and python_version < \"3.13\"", "pyarrow (>=18.0.0) ; python_version >= \"3.13\""]
 duckdb = ["duckdb (>=0.9)"]
-filesystem = ["botocore (>=1.28)", "s3fs (>=2022.4.0)", "sqlglot (>=20.0.0)"]
+filesystem = ["botocore (>=1.28)", "s3fs (>=2022.4.0)"]
 gcp = ["db-dtypes (>=1.2.0)", "gcsfs (>=2022.4.0)", "google-cloud-bigquery (>=2.26.0)", "grpcio (>=1.50.0)"]
 gs = ["gcsfs (>=2022.4.0)"]
 lancedb = ["lancedb (>=0.8.2) ; python_version < \"3.13\"", "pyarrow (>=12.0.0,<18) ; python_version >= \"3.9\" and python_version < \"3.13\"", "pyarrow (>=18.0.0) ; python_version >= \"3.13\"", "tantivy (>=0.22.0)"]
@@ -2585,7 +2586,7 @@ description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"
+markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""
 files = [
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+    {file = "sqlalchemy-2.0.39.tar.gz", hash = "sha256:5d2d1fe548def3267b4c70a8568f108d1fed7cbbeccb9cc166e05af2abc25c22"},
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") or extra == \"asyncio\""}
+greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") or extra == \"asyncio\""}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -9643,6 +9644,22 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
+[[package]]
+name = "sqlglot"
+version = "26.11.1"
+description = "An easily customizable SQL parser and transpiler"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "sqlglot-26.11.1-py3-none-any.whl", hash = "sha256:5659fb46937ed89da6854e30eb318f57110f5526ef555407a2bf8f714e70496d"},
+    {file = "sqlglot-26.11.1.tar.gz", hash = "sha256:e1e7c9bbabc9f8cefa35aa07daf3ac0048dacd9bc3131225785596beb0d844d6"},
+]
+
+[package.extras]
+dev = ["duckdb (>=0.6)", "maturin (>=1.4,<2.0)", "mypy", "pandas", "pandas-stubs", "pdoc", "pre-commit", "python-dateutil", "pytz", "ruff (==0.7.2)", "types-python-dateutil", "types-pytz", "typing_extensions"]
+rs = ["sqlglotrs (==0.4.0)"]
+
 [[package]]
 name = "squarify"
 version = "0.4.4"
@@ -11252,4 +11269,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<=3.13"
-content-hash = "f1cdc7b38e1551ec9cc5a1eaf195dde0607c466e2c490d1d882f645082fee656"
+content-hash = "4bda223028508503b326912854c60fa4a5f60349370d26f22dd997d0dec11e01"

pyproject.toml

@@ -29,7 +29,7 @@ numpy = ">=1.26.4, <=2.1"
 pandas = "2.2.3"
 boto3 = "^1.26.125"
 botocore="^1.35.54"
-sqlalchemy = "2.0.36"
+sqlalchemy = "2.0.39"
 aiosqlite = "^0.20.0"
 tiktoken = "<=0.9.0"
 litellm = ">=1.57.4"
@@ -52,7 +52,7 @@ fastapi = {version = "0.115.7"}
 fastapi-users = {version = "14.0.0", extras = ["sqlalchemy"]}
 uvicorn = {version = "0.34.0", optional = true}
 gunicorn = {version = "^20.1.0", optional = true}
-dlt = {extras = ["sqlalchemy"], version = "^1.4.1"}
+dlt = {extras = ["sqlalchemy"], version = "^1.9.0"}
 qdrant-client = {version = "^1.9.0", optional = true}
 weaviate-client = {version = "4.9.6", optional = true}
 neo4j = {version = "^5.20.0", optional = true}