update

backend/.env

@@ -1,90 +0,0 @@
-# ========================================
-# 大模型配置 (支持OpenAI协议的第三方服务)
-# ========================================
-# 可选择的提供商: openai, deepseek, doubao, zhipu, moonshot
-LLM_PROVIDER=doubao
-
-# Embedding模型配置
-# 可选择的提供商: openai, deepseek, doubao, zhipu, moonshot
-EMBEDDING_PROVIDER=zhipu
-
-# OpenAI配置
-OPENAI_API_KEY=your-openai-api-key
-OPENAI_BASE_URL=https://api.openai.com/v1
-OPENAI_MODEL=gpt-3.5-turbo
-
-# DeepSeek配置
-DEEPSEEK_API_KEY=your-deepseek-api-key
-DEEPSEEK_BASE_URL=https://api.deepseek.com/v1
-DEEPSEEK_MODEL=deepseek-chat
-
-# 豆包(字节跳动)配置
-DOUBAO_API_KEY=your-doubao-api-key
-DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
-DOUBAO_MODEL=doubao-1-5-pro-32k-250115
-
-# 智谱AI配置
-ZHIPU_API_KEY=your-zhipu-api-key
-ZHIPU_BASE_URL=https://open.bigmodel.cn/api/paas/v4
-ZHIPU_MODEL=glm-4
-ZHIPU_EMBEDDING_MODEL=embedding-3
-
-# 月之暗面配置
-MOONSHOT_API_KEY=your-moonshot-api-key
-MOONSHOT_BASE_URL=https://api.moonshot.cn/v1
-MOONSHOT_MODEL=moonshot-v1-8k
-MOONSHOT_EMBEDDING_MODEL=moonshot-embedding
-
-# Embedding模型配置
-OPENAI_EMBEDDING_MODEL=text-embedding-ada-002
-DEEPSEEK_EMBEDDING_MODEL=deepseek-embedding
-DOUBAO_EMBEDDING_MODEL=doubao-embedding
-
-# 工具API配置
-## tavilySearch api
-TAVILY_API_KEY=your-tavily-api-key
-## 心知天气api
-WEATHER_API_KEY=your_xinzhi_api_key
-
-# ========================================
-# 应用配置
-# ========================================
-# 后端应用配置
-APP_NAME=TH-Agenter
-APP_VERSION=0.1.0
-DEBUG=true
-ENVIRONMENT=development
-HOST=0.0.0.0
-PORT=8000
-
-# 前端应用配置
-VITE_API_BASE_URL=http://localhost:8000/api
-VITE_APP_TITLE=TH-Agenter
-VITE_APP_VERSION=1.0.0
-VITE_ENABLE_MOCK=false
-VITE_UPLOAD_MAX_SIZE=10485760
-VITE_SUPPORTED_FILE_TYPES=pdf,txt,md,doc,docx,ppt,pptx,xls,xlsx
-
-# ========================================
-# 安全配置
-# ========================================
-SECRET_KEY=your-secret-key-here-change-in-production
-ALGORITHM=HS256
-ACCESS_TOKEN_EXPIRE_MINUTES=300
-
-# ========================================
-# 数据库配置
-# ========================================
-# 数据库URL配置
-DATABASE_URL=sqlite:///./TH-Agenter.db
-# DATABASE_URL=postgresql://iagent:iagent@118.196.30.45:5432/iagent
-
-# ========================================
-# 向量数据库配置
-# ========================================
-VECTOR_DB_TYPE=pgvector
-PGVECTOR_HOST=118.196.30.45
-PGVECTOR_PORT=5432
-PGVECTOR_DATABASE=iagent
-PGVECTOR_USER=iagent
-PGVECTOR_PASSWORD=iagent

backend/.env.example

@@ -1,89 +0,0 @@
-# ========================================
-# 大模型配置 (支持OpenAI协议的第三方服务)
-# ========================================
-# 可选择的提供商: openai, deepseek, doubao, zhipu, moonshot
-LLM_PROVIDER=doubao
-
-# Embedding模型配置
-# 可选择的提供商: openai, deepseek, doubao, zhipu, moonshot
-EMBEDDING_PROVIDER=zhipu
-
-# OpenAI配置
-OPENAI_API_KEY=your-openai-api-key
-OPENAI_BASE_URL=https://api.openai.com/v1
-OPENAI_MODEL=gpt-3.5-turbo
-
-# DeepSeek配置
-DEEPSEEK_API_KEY=your-deepseek-api-key
-DEEPSEEK_BASE_URL=https://api.deepseek.com/v1
-DEEPSEEK_MODEL=deepseek-chat
-
-# 豆包(字节跳动)配置
-DOUBAO_API_KEY=your-doubao-api-key
-DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
-DOUBAO_MODEL=doubao-1-5-pro-32k-250115
-
-# 智谱AI配置
-ZHIPU_API_KEY=your-zhipu-api-key
-ZHIPU_BASE_URL=https://open.bigmodel.cn/api/paas/v4
-ZHIPU_MODEL=glm-4
-ZHIPU_EMBEDDING_MODEL=embedding-3
-
-# 月之暗面配置
-MOONSHOT_API_KEY=your-moonshot-api-key
-MOONSHOT_BASE_URL=https://api.moonshot.cn/v1
-MOONSHOT_MODEL=moonshot-v1-8k
-MOONSHOT_EMBEDDING_MODEL=moonshot-embedding
-
-# Embedding模型配置
-OPENAI_EMBEDDING_MODEL=text-embedding-ada-002
-DEEPSEEK_EMBEDDING_MODEL=deepseek-embedding
-DOUBAO_EMBEDDING_MODEL=doubao-embedding
-
-# 工具API配置
-## tavilySearch api
-TAVILY_API_KEY=your-tavily-api-key
-## 心知天气api
-WEATHER_API_KEY=your_xinzhi_api_key
-
-# ========================================
-# 应用配置
-# ========================================
-# 后端应用配置
-APP_NAME=TH-Agenter
-APP_VERSION=0.1.0
-DEBUG=true
-ENVIRONMENT=development
-HOST=0.0.0.0
-PORT=8000
-
-# 前端应用配置
-VITE_API_BASE_URL=http://localhost:8000/api
-VITE_APP_TITLE=TH-Agenter
-VITE_APP_VERSION=1.0.0
-VITE_ENABLE_MOCK=false
-VITE_UPLOAD_MAX_SIZE=10485760
-VITE_SUPPORTED_FILE_TYPES=pdf,txt,md,doc,docx,ppt,pptx,xls,xlsx
-
-# ========================================
-# 安全配置
-# ========================================
-SECRET_KEY=your-secret-key-here-change-in-production
-ALGORITHM=HS256
-ACCESS_TOKEN_EXPIRE_MINUTES=300
-
-# ========================================
-# 数据库配置
-# ========================================
-
-DATABASE_URL=postgresql://iagent:iagent@118.196.30.45:5432/iagent
-
-# ========================================
-# 向量数据库配置
-# ========================================
-VECTOR_DB_TYPE=pgvector
-PGVECTOR_HOST=localhost
-PGVECTOR_PORT=5432
-PGVECTOR_DATABASE=mydb
-PGVECTOR_USER=myuser
-PGVECTOR_PASSWORD=mypassword

backend/.gitignore

@@ -1,179 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control. See https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
-
-# VS Code
-.vscode/*
-!.vscode/extensions.json
-
-# Logs
-logs/
-*.log
-webIOs/output/logs/
-
-# OS generated files
-Thumbs.db
-.DS_Store
-.DS_Store?
-._*
-.Spotlight-V100
-.Trashes
-ehthumbs.db
-
-# FastAPI specific
-*.pyc
-uvicorn*.log

backend/alembic.ini

@@ -1,147 +0,0 @@
-# A generic, single database configuration.
-
-[alembic]
-# path to migration scripts.
-# this is typically a path given in POSIX (e.g. forward slashes)
-# format, relative to the token %(here)s which refers to the location of this
-# ini file
-script_location = %(here)s/alembic
-
-# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
-# Uncomment the line below if you want the files to be prepended with date and time
-# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
-# for all available tokens
-# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
-
-# sys.path path, will be prepended to sys.path if present.
-# defaults to the current working directory.  for multiple paths, the path separator
-# is defined by "path_separator" below.
-prepend_sys_path = .
-
-# timezone to use when rendering the date within the migration file
-# as well as the filename.
-# If specified, requires the tzdata library which can be installed by adding
-# `alembic[tz]` to the pip requirements.
-# string value is passed to ZoneInfo()
-# leave blank for localtime
-# timezone =
-
-# max length of characters to apply to the "slug" field
-# truncate_slug_length = 40
-
-# set to 'true' to run the environment during
-# the 'revision' command, regardless of autogenerate
-# revision_environment = false
-
-# set to 'true' to allow .pyc and .pyo files without
-# a source .py file to be detected as revisions in the
-# versions/ directory
-# sourceless = false
-
-# version location specification; This defaults
-# to <script_location>/versions.  When using multiple version
-# directories, initial revisions must be specified with --version-path.
-# The path separator used here should be the separator specified by "path_separator"
-# below.
-# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions
-
-# path_separator; This indicates what character is used to split lists of file
-# paths, including version_locations and prepend_sys_path within configparser
-# files such as alembic.ini.
-# The default rendered in new alembic.ini files is "os", which uses os.pathsep
-# to provide os-dependent path splitting.
-#
-# Note that in order to support legacy alembic.ini files, this default does NOT
-# take place if path_separator is not present in alembic.ini.  If this
-# option is omitted entirely, fallback logic is as follows:
-#
-# 1. Parsing of the version_locations option falls back to using the legacy
-#    "version_path_separator" key, which if absent then falls back to the legacy
-#    behavior of splitting on spaces and/or commas.
-# 2. Parsing of the prepend_sys_path option falls back to the legacy
-#    behavior of splitting on spaces, commas, or colons.
-#
-# Valid values for path_separator are:
-#
-# path_separator = :
-# path_separator = ;
-# path_separator = space
-# path_separator = newline
-#
-# Use os.pathsep. Default configuration used for new projects.
-path_separator = os
-
-
-# set to 'true' to search source files recursively
-# in each "version_locations" directory
-# new in Alembic version 1.10
-# recursive_version_locations = false
-
-# the output encoding used when revision files
-# are written from script.py.mako
-# output_encoding = utf-8
-
-# database URL.  This is consumed by the user-maintained env.py script only.
-# other means of configuring database URLs may be customized within the env.py
-# file.
-# sqlalchemy.url = driver://user:pass@localhost/dbname
-
-
-[post_write_hooks]
-# post_write_hooks defines scripts or Python functions that are run
-# on newly generated revision scripts.  See the documentation for further
-# detail and examples
-
-# format using "black" - use the console_scripts runner, against the "black" entrypoint
-# hooks = black
-# black.type = console_scripts
-# black.entrypoint = black
-# black.options = -l 79 REVISION_SCRIPT_FILENAME
-
-# lint with attempts to fix using "ruff" - use the module runner, against the "ruff" module
-# hooks = ruff
-# ruff.type = module
-# ruff.module = ruff
-# ruff.options = check --fix REVISION_SCRIPT_FILENAME
-
-# Alternatively, use the exec runner to execute a binary found on your PATH
-# hooks = ruff
-# ruff.type = exec
-# ruff.executable = ruff
-# ruff.options = check --fix REVISION_SCRIPT_FILENAME
-
-# Logging configuration.  This is also consumed by the user-maintained
-# env.py script only.
-[loggers]
-keys = root,sqlalchemy,alembic
-
-[handlers]
-keys = console
-
-[formatters]
-keys = generic
-
-[logger_root]
-level = WARNING
-handlers = console
-qualname =
-
-[logger_sqlalchemy]
-level = WARNING
-handlers =
-qualname = sqlalchemy.engine
-
-[logger_alembic]
-level = INFO
-handlers =
-qualname = alembic
-
-[handler_console]
-class = StreamHandler
-args = (sys.stderr,)
-level = NOTSET
-formatter = generic
-
-[formatter_generic]
-format = %(levelname)-5.5s [%(name)s] %(message)s
-datefmt = %H:%M:%S

backend/alembic/README

@@ -1,4 +0,0 @@
-Generic single-database configuration with an async dbapi.
-
-alembic revision --autogenerate -m  "init"
-alembic upgrade head

backend/alembic/env.py

@@ -1,101 +0,0 @@
-import asyncio, os
-from logging.config import fileConfig
-
-from sqlalchemy import pool
-from sqlalchemy.engine import Connection
-from sqlalchemy.ext.asyncio import async_engine_from_config
-
-from alembic import context
-
-# this is the Alembic Config object, which provides
-# access to the values within the .ini file in use.
-config = context.config
-
-from dotenv import load_dotenv
-load_dotenv()
-database_url = os.getenv("DATABASE_URL")
-if not database_url:
-    raise ValueError("环境变量DATABASE_URL未设置")
-
-config.set_main_option("sqlalchemy.url", database_url)
-
-
-
-# Interpret the config file for Python logging.
-# This line sets up loggers basically.
-if config.config_file_name is not None:
-    fileConfig(config.config_file_name)
-
-# add your model's MetaData object here
-# for 'autogenerate' support
-# from myapp import mymodel
-# target_metadata = mymodel.Base.metadata
-from th_agenter.db import Base
-# from th_agenter.models import User, Conversation, Message, KnowledgeBase, Document, AgentConfig, ExcelFile, Role, UserRole, LLMConfig, Workflow, WorkflowExecution, NodeExecution, DatabaseConfig, TableMetadata
-target_metadata = Base.metadata 
-
-# other values from the config, defined by the needs of env.py,
-# can be acquired:
-# my_important_option = config.get_main_option("my_important_option")
-# ... etc.
-
-
-def run_migrations_offline() -> None:
-    """Run migrations in 'offline' mode.
-
-    This configures the context with just a URL
-    and not an Engine, though an Engine is acceptable
-    here as well.  By skipping the Engine creation
-    we don't even need a DBAPI to be available.
-
-    Calls to context.execute() here emit the given string to the
-    script output.
-
-    """
-    url = config.get_main_option("sqlalchemy.url")
-    context.configure(
-        url=url,
-        target_metadata=target_metadata,
-        literal_binds=True,
-        dialect_opts={"paramstyle": "named"},
-    )
-
-    with context.begin_transaction():
-        context.run_migrations()
-
-
-def do_run_migrations(connection: Connection) -> None:
-    context.configure(connection=connection, target_metadata=target_metadata)
-
-    with context.begin_transaction():
-        context.run_migrations()
-
-
-async def run_async_migrations() -> None:
-    """In this scenario we need to create an Engine
-    and associate a connection with the context.
-
-    """
-
-    connectable = async_engine_from_config(
-        config.get_section(config.config_ini_section, {}),
-        prefix="sqlalchemy.",
-        poolclass=pool.NullPool,
-    )
-
-    async with connectable.connect() as connection:
-        await connection.run_sync(do_run_migrations)
-
-    await connectable.dispose()
-
-
-def run_migrations_online() -> None:
-    """Run migrations in 'online' mode."""
-
-    asyncio.run(run_async_migrations())
-
-
-if context.is_offline_mode():
-    run_migrations_offline()
-else:
-    run_migrations_online()

backend/alembic/script.py.mako

@@ -1,28 +0,0 @@
-"""${message}
-
-Revision ID: ${up_revision}
-Revises: ${down_revision | comma,n}
-Create Date: ${create_date}
-
-"""
-from typing import Sequence, Union
-
-from alembic import op
-import sqlalchemy as sa
-${imports if imports else ""}
-
-# revision identifiers, used by Alembic.
-revision: str = ${repr(up_revision)}
-down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)}
-branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
-depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
-
-
-def upgrade() -> None:
-    """Upgrade schema."""
-    ${upgrades if upgrades else "pass"}
-
-
-def downgrade() -> None:
-    """Downgrade schema."""
-    ${downgrades if downgrades else "pass"}

backend/alembic/versions/1ea5548d641d_init.py

@@ -1,359 +0,0 @@
-"""init
-
-Revision ID: 1ea5548d641d
-Revises: 
-Create Date: 2025-12-13 13:47:07.838600
-
-"""
-from typing import Sequence, Union
-
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision: str = '1ea5548d641d'
-down_revision: Union[str, Sequence[str], None] = None
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    """Upgrade schema."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table('agent_configs',
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('name', sa.String(length=100), nullable=False),
-    sa.Column('description', sa.Text(), nullable=True),
-    sa.Column('enabled_tools', sa.JSON(), nullable=False),
-    sa.Column('max_iterations', sa.Integer(), nullable=False),
-    sa.Column('temperature', sa.String(length=10), nullable=False),
-    sa.Column('system_message', sa.Text(), nullable=True),
-    sa.Column('verbose', sa.Boolean(), nullable=False),
-    sa.Column('model_name', sa.String(length=100), nullable=False),
-    sa.Column('max_tokens', sa.Integer(), nullable=False),
-    sa.Column('is_active', sa.Boolean(), nullable=False),
-    sa.Column('is_default', sa.Boolean(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_agent_configs'))
-    )
-    op.create_index(op.f('ix_agent_configs_id'), 'agent_configs', ['id'], unique=False)
-    op.create_index(op.f('ix_agent_configs_name'), 'agent_configs', ['name'], unique=False)
-    op.create_table('conversations',
-    sa.Column('title', sa.String(length=200), nullable=False),
-    sa.Column('user_id', sa.Integer(), nullable=False),
-    sa.Column('knowledge_base_id', sa.Integer(), nullable=True),
-    sa.Column('system_prompt', sa.Text(), nullable=True),
-    sa.Column('model_name', sa.String(length=100), nullable=False),
-    sa.Column('temperature', sa.String(length=10), nullable=False),
-    sa.Column('max_tokens', sa.Integer(), nullable=False),
-    sa.Column('is_archived', sa.Boolean(), nullable=False),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_conversations'))
-    )
-    op.create_index(op.f('ix_conversations_id'), 'conversations', ['id'], unique=False)
-    op.create_table('database_configs',
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('name', sa.String(length=100), nullable=False),
-    sa.Column('db_type', sa.String(length=20), nullable=False),
-    sa.Column('host', sa.String(length=255), nullable=False),
-    sa.Column('port', sa.Integer(), nullable=False),
-    sa.Column('database', sa.String(length=100), nullable=False),
-    sa.Column('username', sa.String(length=100), nullable=False),
-    sa.Column('password', sa.Text(), nullable=False),
-    sa.Column('is_active', sa.Boolean(), nullable=False),
-    sa.Column('is_default', sa.Boolean(), nullable=False),
-    sa.Column('connection_params', sa.JSON(), nullable=True),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_database_configs')),
-    sa.UniqueConstraint('db_type', name=op.f('uq_database_configs_db_type'))
-    )
-    op.create_index(op.f('ix_database_configs_id'), 'database_configs', ['id'], unique=False)
-    op.create_table('documents',
-    sa.Column('knowledge_base_id', sa.Integer(), nullable=False),
-    sa.Column('filename', sa.String(length=255), nullable=False),
-    sa.Column('original_filename', sa.String(length=255), nullable=False),
-    sa.Column('file_path', sa.String(length=500), nullable=False),
-    sa.Column('file_size', sa.Integer(), nullable=False),
-    sa.Column('file_type', sa.String(length=50), nullable=False),
-    sa.Column('mime_type', sa.String(length=100), nullable=True),
-    sa.Column('is_processed', sa.Boolean(), nullable=False),
-    sa.Column('processing_error', sa.Text(), nullable=True),
-    sa.Column('content', sa.Text(), nullable=True),
-    sa.Column('doc_metadata', sa.JSON(), nullable=True),
-    sa.Column('chunk_count', sa.Integer(), nullable=False),
-    sa.Column('embedding_model', sa.String(length=100), nullable=True),
-    sa.Column('vector_ids', sa.JSON(), nullable=True),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_documents'))
-    )
-    op.create_index(op.f('ix_documents_id'), 'documents', ['id'], unique=False)
-    op.create_table('excel_files',
-    sa.Column('original_filename', sa.String(length=255), nullable=False),
-    sa.Column('file_path', sa.String(length=500), nullable=False),
-    sa.Column('file_size', sa.Integer(), nullable=False),
-    sa.Column('file_type', sa.String(length=50), nullable=False),
-    sa.Column('sheet_names', sa.JSON(), nullable=False),
-    sa.Column('default_sheet', sa.String(length=100), nullable=True),
-    sa.Column('columns_info', sa.JSON(), nullable=False),
-    sa.Column('preview_data', sa.JSON(), nullable=False),
-    sa.Column('data_types', sa.JSON(), nullable=True),
-    sa.Column('total_rows', sa.JSON(), nullable=True),
-    sa.Column('total_columns', sa.JSON(), nullable=True),
-    sa.Column('is_processed', sa.Boolean(), nullable=False),
-    sa.Column('processing_error', sa.Text(), nullable=True),
-    sa.Column('last_accessed', sa.DateTime(), nullable=True),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_excel_files'))
-    )
-    op.create_index(op.f('ix_excel_files_id'), 'excel_files', ['id'], unique=False)
-    op.create_table('knowledge_bases',
-    sa.Column('name', sa.String(length=100), nullable=False),
-    sa.Column('description', sa.Text(), nullable=True),
-    sa.Column('embedding_model', sa.String(length=100), nullable=False),
-    sa.Column('chunk_size', sa.Integer(), nullable=False),
-    sa.Column('chunk_overlap', sa.Integer(), nullable=False),
-    sa.Column('is_active', sa.Boolean(), nullable=False),
-    sa.Column('vector_db_type', sa.String(length=50), nullable=False),
-    sa.Column('collection_name', sa.String(length=100), nullable=True),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_knowledge_bases'))
-    )
-    op.create_index(op.f('ix_knowledge_bases_id'), 'knowledge_bases', ['id'], unique=False)
-    op.create_index(op.f('ix_knowledge_bases_name'), 'knowledge_bases', ['name'], unique=False)
-    op.create_table('llm_configs',
-    sa.Column('name', sa.String(length=100), nullable=False),
-    sa.Column('provider', sa.String(length=50), nullable=False),
-    sa.Column('model_name', sa.String(length=100), nullable=False),
-    sa.Column('api_key', sa.String(length=500), nullable=False),
-    sa.Column('base_url', sa.String(length=200), nullable=True),
-    sa.Column('max_tokens', sa.Integer(), nullable=False),
-    sa.Column('temperature', sa.Float(), nullable=False),
-    sa.Column('top_p', sa.Float(), nullable=False),
-    sa.Column('frequency_penalty', sa.Float(), nullable=False),
-    sa.Column('presence_penalty', sa.Float(), nullable=False),
-    sa.Column('description', sa.Text(), nullable=True),
-    sa.Column('is_active', sa.Boolean(), nullable=False),
-    sa.Column('is_default', sa.Boolean(), nullable=False),
-    sa.Column('is_embedding', sa.Boolean(), nullable=False),
-    sa.Column('extra_config', sa.JSON(), nullable=True),
-    sa.Column('usage_count', sa.Integer(), nullable=False),
-    sa.Column('last_used_at', sa.DateTime(), nullable=True),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_llm_configs'))
-    )
-    op.create_index(op.f('ix_llm_configs_id'), 'llm_configs', ['id'], unique=False)
-    op.create_index(op.f('ix_llm_configs_name'), 'llm_configs', ['name'], unique=False)
-    op.create_index(op.f('ix_llm_configs_provider'), 'llm_configs', ['provider'], unique=False)
-    op.create_table('messages',
-    sa.Column('conversation_id', sa.Integer(), nullable=False),
-    sa.Column('role', sa.Enum('USER', 'ASSISTANT', 'SYSTEM', name='messagerole'), nullable=False),
-    sa.Column('content', sa.Text(), nullable=False),
-    sa.Column('message_type', sa.Enum('TEXT', 'IMAGE', 'FILE', 'AUDIO', name='messagetype'), nullable=False),
-    sa.Column('message_metadata', sa.JSON(), nullable=True),
-    sa.Column('context_documents', sa.JSON(), nullable=True),
-    sa.Column('prompt_tokens', sa.Integer(), nullable=True),
-    sa.Column('completion_tokens', sa.Integer(), nullable=True),
-    sa.Column('total_tokens', sa.Integer(), nullable=True),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_messages'))
-    )
-    op.create_index(op.f('ix_messages_id'), 'messages', ['id'], unique=False)
-    op.create_table('roles',
-    sa.Column('name', sa.String(length=100), nullable=False),
-    sa.Column('code', sa.String(length=100), nullable=False),
-    sa.Column('description', sa.Text(), nullable=True),
-    sa.Column('is_system', sa.Boolean(), nullable=False),
-    sa.Column('is_active', sa.Boolean(), nullable=False),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_roles'))
-    )
-    op.create_index(op.f('ix_roles_code'), 'roles', ['code'], unique=True)
-    op.create_index(op.f('ix_roles_id'), 'roles', ['id'], unique=False)
-    op.create_index(op.f('ix_roles_name'), 'roles', ['name'], unique=True)
-    op.create_table('table_metadata',
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('table_name', sa.String(length=100), nullable=False),
-    sa.Column('table_schema', sa.String(length=50), nullable=False),
-    sa.Column('table_type', sa.String(length=20), nullable=False),
-    sa.Column('table_comment', sa.Text(), nullable=True),
-    sa.Column('database_config_id', sa.Integer(), nullable=True),
-    sa.Column('columns_info', sa.JSON(), nullable=False),
-    sa.Column('primary_keys', sa.JSON(), nullable=True),
-    sa.Column('foreign_keys', sa.JSON(), nullable=True),
-    sa.Column('indexes', sa.JSON(), nullable=True),
-    sa.Column('sample_data', sa.JSON(), nullable=True),
-    sa.Column('row_count', sa.Integer(), nullable=False),
-    sa.Column('is_enabled_for_qa', sa.Boolean(), nullable=False),
-    sa.Column('qa_description', sa.Text(), nullable=True),
-    sa.Column('business_context', sa.Text(), nullable=True),
-    sa.Column('last_synced_at', sa.DateTime(timezone=True), nullable=True),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_table_metadata'))
-    )
-    op.create_index(op.f('ix_table_metadata_id'), 'table_metadata', ['id'], unique=False)
-    op.create_index(op.f('ix_table_metadata_table_name'), 'table_metadata', ['table_name'], unique=False)
-    op.create_table('users',
-    sa.Column('username', sa.String(length=50), nullable=False),
-    sa.Column('email', sa.String(length=100), nullable=False),
-    sa.Column('hashed_password', sa.String(length=255), nullable=False),
-    sa.Column('full_name', sa.String(length=100), nullable=True),
-    sa.Column('is_active', sa.Boolean(), nullable=False),
-    sa.Column('avatar_url', sa.String(length=255), nullable=True),
-    sa.Column('bio', sa.Text(), nullable=True),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_users'))
-    )
-    op.create_index(op.f('ix_users_email'), 'users', ['email'], unique=True)
-    op.create_index(op.f('ix_users_id'), 'users', ['id'], unique=False)
-    op.create_index(op.f('ix_users_username'), 'users', ['username'], unique=True)
-    op.create_table('user_roles',
-    sa.Column('user_id', sa.Integer(), nullable=False),
-    sa.Column('role_id', sa.Integer(), nullable=False),
-    sa.ForeignKeyConstraint(['role_id'], ['roles.id'], name=op.f('fk_user_roles_role_id_roles')),
-    sa.ForeignKeyConstraint(['user_id'], ['users.id'], name=op.f('fk_user_roles_user_id_users')),
-    sa.PrimaryKeyConstraint('user_id', 'role_id', name=op.f('pk_user_roles'))
-    )
-    op.create_table('workflows',
-    sa.Column('name', sa.String(length=100), nullable=False, comment='工作流名称'),
-    sa.Column('description', sa.Text(), nullable=True, comment='工作流描述'),
-    sa.Column('status', sa.Enum('DRAFT', 'PUBLISHED', 'ARCHIVED', name='workflowstatus'), nullable=False, comment='工作流状态'),
-    sa.Column('is_active', sa.Boolean(), nullable=False, comment='是否激活'),
-    sa.Column('definition', sa.JSON(), nullable=False, comment='工作流定义'),
-    sa.Column('version', sa.String(length=20), nullable=False, comment='版本号'),
-    sa.Column('owner_id', sa.Integer(), nullable=False, comment='所有者ID'),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.ForeignKeyConstraint(['owner_id'], ['users.id'], name=op.f('fk_workflows_owner_id_users')),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_workflows'))
-    )
-    op.create_index(op.f('ix_workflows_id'), 'workflows', ['id'], unique=False)
-    op.create_table('workflow_executions',
-    sa.Column('workflow_id', sa.Integer(), nullable=False, comment='工作流ID'),
-    sa.Column('status', sa.Enum('PENDING', 'RUNNING', 'COMPLETED', 'FAILED', 'CANCELLED', name='executionstatus'), nullable=False, comment='执行状态'),
-    sa.Column('input_data', sa.JSON(), nullable=True, comment='输入数据'),
-    sa.Column('output_data', sa.JSON(), nullable=True, comment='输出数据'),
-    sa.Column('started_at', sa.String(length=50), nullable=True, comment='开始时间'),
-    sa.Column('completed_at', sa.String(length=50), nullable=True, comment='完成时间'),
-    sa.Column('error_message', sa.Text(), nullable=True, comment='错误信息'),
-    sa.Column('executor_id', sa.Integer(), nullable=False, comment='执行者ID'),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.ForeignKeyConstraint(['executor_id'], ['users.id'], name=op.f('fk_workflow_executions_executor_id_users')),
-    sa.ForeignKeyConstraint(['workflow_id'], ['workflows.id'], name=op.f('fk_workflow_executions_workflow_id_workflows')),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_workflow_executions'))
-    )
-    op.create_index(op.f('ix_workflow_executions_id'), 'workflow_executions', ['id'], unique=False)
-    op.create_table('node_executions',
-    sa.Column('workflow_execution_id', sa.Integer(), nullable=False, comment='工作流执行ID'),
-    sa.Column('node_id', sa.String(length=50), nullable=False, comment='节点ID'),
-    sa.Column('node_type', sa.Enum('START', 'END', 'LLM', 'CONDITION', 'LOOP', 'CODE', 'HTTP', 'TOOL', name='nodetype'), nullable=False, comment='节点类型'),
-    sa.Column('node_name', sa.String(length=100), nullable=False, comment='节点名称'),
-    sa.Column('status', sa.Enum('PENDING', 'RUNNING', 'COMPLETED', 'FAILED', 'CANCELLED', name='executionstatus'), nullable=False, comment='执行状态'),
-    sa.Column('input_data', sa.JSON(), nullable=True, comment='输入数据'),
-    sa.Column('output_data', sa.JSON(), nullable=True, comment='输出数据'),
-    sa.Column('started_at', sa.String(length=50), nullable=True, comment='开始时间'),
-    sa.Column('completed_at', sa.String(length=50), nullable=True, comment='完成时间'),
-    sa.Column('duration_ms', sa.Integer(), nullable=True, comment='执行时长(毫秒)'),
-    sa.Column('error_message', sa.Text(), nullable=True, comment='错误信息'),
-    sa.Column('id', sa.Integer(), nullable=False),
-    sa.Column('created_at', sa.DateTime(), nullable=False),
-    sa.Column('updated_at', sa.DateTime(), nullable=False),
-    sa.Column('created_by', sa.Integer(), nullable=True),
-    sa.Column('updated_by', sa.Integer(), nullable=True),
-    sa.ForeignKeyConstraint(['workflow_execution_id'], ['workflow_executions.id'], name=op.f('fk_node_executions_workflow_execution_id_workflow_executions')),
-    sa.PrimaryKeyConstraint('id', name=op.f('pk_node_executions'))
-    )
-    op.create_index(op.f('ix_node_executions_id'), 'node_executions', ['id'], unique=False)
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade schema."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_index(op.f('ix_node_executions_id'), table_name='node_executions')
-    op.drop_table('node_executions')
-    op.drop_index(op.f('ix_workflow_executions_id'), table_name='workflow_executions')
-    op.drop_table('workflow_executions')
-    op.drop_index(op.f('ix_workflows_id'), table_name='workflows')
-    op.drop_table('workflows')
-    op.drop_table('user_roles')
-    op.drop_index(op.f('ix_users_username'), table_name='users')
-    op.drop_index(op.f('ix_users_id'), table_name='users')
-    op.drop_index(op.f('ix_users_email'), table_name='users')
-    op.drop_table('users')
-    op.drop_index(op.f('ix_table_metadata_table_name'), table_name='table_metadata')
-    op.drop_index(op.f('ix_table_metadata_id'), table_name='table_metadata')
-    op.drop_table('table_metadata')
-    op.drop_index(op.f('ix_roles_name'), table_name='roles')
-    op.drop_index(op.f('ix_roles_id'), table_name='roles')
-    op.drop_index(op.f('ix_roles_code'), table_name='roles')
-    op.drop_table('roles')
-    op.drop_index(op.f('ix_messages_id'), table_name='messages')
-    op.drop_table('messages')
-    op.drop_index(op.f('ix_llm_configs_provider'), table_name='llm_configs')
-    op.drop_index(op.f('ix_llm_configs_name'), table_name='llm_configs')
-    op.drop_index(op.f('ix_llm_configs_id'), table_name='llm_configs')
-    op.drop_table('llm_configs')
-    op.drop_index(op.f('ix_knowledge_bases_name'), table_name='knowledge_bases')
-    op.drop_index(op.f('ix_knowledge_bases_id'), table_name='knowledge_bases')
-    op.drop_table('knowledge_bases')
-    op.drop_index(op.f('ix_excel_files_id'), table_name='excel_files')
-    op.drop_table('excel_files')
-    op.drop_index(op.f('ix_documents_id'), table_name='documents')
-    op.drop_table('documents')
-    op.drop_index(op.f('ix_database_configs_id'), table_name='database_configs')
-    op.drop_table('database_configs')
-    op.drop_index(op.f('ix_conversations_id'), table_name='conversations')
-    op.drop_table('conversations')
-    op.drop_index(op.f('ix_agent_configs_name'), table_name='agent_configs')
-    op.drop_index(op.f('ix_agent_configs_id'), table_name='agent_configs')
-    op.drop_table('agent_configs')
-    # ### end Alembic commands ###

backend/apps/drgraph/drgraph_session.py

@@ -1,66 +0,0 @@
-import re
-import traceback
-from loguru import logger
-
-class DrGraphSession:
-    def __init__(self, stepIndex: int, msg: str, session_id: str):
-        logger.info(f"DrGraphSession.__init__: stepIndex={stepIndex}, msg={msg}, session_id={session_id}")
-        self.stepIndex = stepIndex
-        self.session_id = session_id
-        
-        match = re.search(r";(-\d+)", msg);
-        level = -3
-        if match:
-            level = int(match.group(1))
-            value = value.replace(f";{level}", "")
-            level = -3 + level                
-        
-        if "警告" in value or value.startswith("WARNING"):
-            self.log_warning(f"第 {self.stepIndex} 步 - {value}", level = level)
-        elif "异常" in value or value.startswith("EXCEPTION"):
-            self.log_exception(f"第 {self.stepIndex} 步 - {value}", level = level)
-        elif "成功" in value or value.startswith("SUCCESS"):
-            self.log_success(f"第 {self.stepIndex} 步 - {value}", level = level)
-        elif "开始" in value or value.startswith("START"):
-            self.log_success(f"第 {self.stepIndex} 步 - {value}", level = level)
-        elif "失败" in value or value.startswith("ERROR"):
-            self.log_error(f"第 {self.stepIndex} 步 - {value}", level = level)
-        else:
-            self.log_info(f"第 {self.stepIndex} 步 - {value}", level = level)
-    
-    def log_prefix(self) -> str:
-        """Get log prefix with session ID and desc."""
-        return f"〖Session{self.session_id}〗"
-    
-    def parse_source_pos(self, level: int):
-        pos = (traceback.format_stack())[level - 1].strip().split('\n')[0]
-        match = re.search(r"File \"(.+?)\", line (\d+), in (\w+)", pos);
-        if match:
-            file = match.group(1).replace("F:\\DrGraph_Python\\FastAPI\\", "")
-            pos = f"{file}:{match.group(2)} in {match.group(3)}"
-        return pos
-    
-    def log_info(self, msg: str, level: int = -2):
-        """Log info message with session ID."""
-        pos = self.parse_source_pos(level)
-        logger.info(f"{self.log_prefix()} {msg} >>> @ {pos}")
-    
-    def log_success(self, msg: str, level: int = -2):
-        """Log success message with session ID."""
-        pos = self.parse_source_pos(level)
-        logger.success(f"{self.log_prefix()} {msg} >>> @ {pos}")
-    
-    def log_warning(self, msg: str, level: int = -2):
-        """Log warning message with session ID."""
-        pos = self.parse_source_pos(level)
-        logger.warning(f"{self.log_prefix()} {msg} >>> @ {pos}")
-    
-    def log_error(self, msg: str, level: int = -2):
-        """Log error message with session ID."""      
-        pos = self.parse_source_pos(level)
-        logger.error(f"{self.log_prefix()} {msg} >>> @ {pos}")
-    
-    def log_exception(self, msg: str, level: int = -2):
-        """Log exception message with session ID."""
-        pos = self.parse_source_pos(level)
-        logger.exception(f"{self.log_prefix()} {msg} >>> @ {pos}")

backend/check_jwt.py

@@ -1,9 +0,0 @@
-import jwt
-import inspect
-
-print(f"jwt module path: {inspect.getfile(jwt)}")
-print(f"jwt module attributes: {dir(jwt)}")
-try:
-    print(f"jwt module __version__: {jwt.__version__}")
-except AttributeError:
-    print("jwt module has no __version__ attribute")

backend/configs/settings.yaml

@@ -11,7 +11,7 @@ app:
 file:
   upload_dir: "./data/uploads"
   max_size: 10485760  # 10MB
-  allowed_extensions: [".txt", ".pdf", ".docx", ".md"]
+  allowed_extensions: [".txt", ".pdf", ".docx", ".doc", ".md"]
   chunk_size: 1000
   chunk_overlap: 200
   semantic_splitter_enabled: true  # 启用语义分割器
@@ -46,4 +46,11 @@ cors:
 chat:
   max_history_length: 10
   system_prompt: "你是一个有用的AI助手，请根据提供的上下文信息回答用户的问题。"
-  max_response_tokens: 1000
+  max_response_tokens: 1000
+
+# Redis Configuration
+redis:
+  host: "localhost"
+  port: 6379
+  db: 0
+  password: null

backend/data/uploads/kb_6/47a6f3b3-f860-4b12-8472-5374918aedb9_周报.txt

@@ -0,0 +1,40 @@
+
+
+
+2025.10.13-2025.10.17 
+
+1、项目支撑
+
+1.1）边缘计算项目评估支撑 -- 提供算法，确定提供算法模型，100%；
+1.2）陕西交控算法训练 ，待提供素材；
+1.3）水利标书文件算法部分补充，100%；
+1.4）溧宁高速算法优化，已确定问题，待排期处理。
+1.5）外购数据集评估，100%；
+
+2、算法开发
+
+2.1) yolov11算法 的环境搭建，测试，训练完成 ，下一步将其移植到AILIB2框架优化现有算法。100%
+2.2）公路违停算法优化：标注车道线数据集并训练，已完成 ，下一步测试算法效果。80%
+
+3、DSP优化：
+3.1）自测功能中，下周完成转测 ，70%。
+
+
+
+
+[2025-11-14 11:28:16] 执行命令: train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01
+[2025-11-14 11:28:16] 完整命令: cd /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics && echo '===== 训练任务信息 =====' > 003_CarRoadLane_N_1114-1100.log && echo '运行名称: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo '训练时间: $(date)' >> 003_CarRoadLane_N_1114-1100.log && echo 'YOLO版本: yolo11' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo 'project_path: /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics' >> 003_CarRoadLane_N_1114-1100.log && echo 'data_file: /home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml' >> 003_CarRoadLane_N_1114-1100.log && echo 'model_file: /home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt' >> 003_CarRoadLane_N_1114-1100.log && echo 'epochs: 220' >> 003_CarRoadLane_N_1114-1100.log && echo 'batch_size: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'img_size: 1280' >> 003_CarRoadLane_N_1114-1100.log && echo 'workers: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'device: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'project: 003_CarRoadLane' >> 003_CarRoadLane_N_1114-1100.log && echo 'name: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo 'exist_ok: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'resume: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'optimizer: SGD' >> 003_CarRoadLane_N_1114-1100.log && echo 'lr0: 0.01' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo '===== 开始训练 =====' >> 003_CarRoadLane_N_1114-1100.log && CUDA_VISIBLE_DEVICES=0 nohup /home/thsw2/miniconda3/envs/jcq_yolo11/bin/yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 >> 003_CarRoadLane_N_1114-1100.log 2>&1 & echo $!
+[2025-11-14 11:28:34] 输出: 994531
+
+
+
+
+
+
+yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 
+
+
+
+
+
+

backend/data/uploads/kb_6/65483448-1076-499a-915e-4ded81664153_周报.txt

@@ -0,0 +1,40 @@
+
+
+
+2025.10.13-2025.10.17 
+
+1、项目支撑
+
+1.1）边缘计算项目评估支撑 -- 提供算法，确定提供算法模型，100%；
+1.2）陕西交控算法训练 ，待提供素材；
+1.3）水利标书文件算法部分补充，100%；
+1.4）溧宁高速算法优化，已确定问题，待排期处理。
+1.5）外购数据集评估，100%；
+
+2、算法开发
+
+2.1) yolov11算法 的环境搭建，测试，训练完成 ，下一步将其移植到AILIB2框架优化现有算法。100%
+2.2）公路违停算法优化：标注车道线数据集并训练，已完成 ，下一步测试算法效果。80%
+
+3、DSP优化：
+3.1）自测功能中，下周完成转测 ，70%。
+
+
+
+
+[2025-11-14 11:28:16] 执行命令: train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01
+[2025-11-14 11:28:16] 完整命令: cd /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics && echo '===== 训练任务信息 =====' > 003_CarRoadLane_N_1114-1100.log && echo '运行名称: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo '训练时间: $(date)' >> 003_CarRoadLane_N_1114-1100.log && echo 'YOLO版本: yolo11' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo 'project_path: /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics' >> 003_CarRoadLane_N_1114-1100.log && echo 'data_file: /home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml' >> 003_CarRoadLane_N_1114-1100.log && echo 'model_file: /home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt' >> 003_CarRoadLane_N_1114-1100.log && echo 'epochs: 220' >> 003_CarRoadLane_N_1114-1100.log && echo 'batch_size: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'img_size: 1280' >> 003_CarRoadLane_N_1114-1100.log && echo 'workers: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'device: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'project: 003_CarRoadLane' >> 003_CarRoadLane_N_1114-1100.log && echo 'name: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo 'exist_ok: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'resume: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'optimizer: SGD' >> 003_CarRoadLane_N_1114-1100.log && echo 'lr0: 0.01' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo '===== 开始训练 =====' >> 003_CarRoadLane_N_1114-1100.log && CUDA_VISIBLE_DEVICES=0 nohup /home/thsw2/miniconda3/envs/jcq_yolo11/bin/yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 >> 003_CarRoadLane_N_1114-1100.log 2>&1 & echo $!
+[2025-11-14 11:28:34] 输出: 994531
+
+
+
+
+
+
+yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 
+
+
+
+
+
+

backend/data/uploads/kb_6/7d5d2079-231b-44c3-abbe-87d40d1c0e9f_周报.txt

@@ -0,0 +1,40 @@
+
+
+
+2025.10.13-2025.10.17 
+
+1、项目支撑
+
+1.1）边缘计算项目评估支撑 -- 提供算法，确定提供算法模型，100%；
+1.2）陕西交控算法训练 ，待提供素材；
+1.3）水利标书文件算法部分补充，100%；
+1.4）溧宁高速算法优化，已确定问题，待排期处理。
+1.5）外购数据集评估，100%；
+
+2、算法开发
+
+2.1) yolov11算法 的环境搭建，测试，训练完成 ，下一步将其移植到AILIB2框架优化现有算法。100%
+2.2）公路违停算法优化：标注车道线数据集并训练，已完成 ，下一步测试算法效果。80%
+
+3、DSP优化：
+3.1）自测功能中，下周完成转测 ，70%。
+
+
+
+
+[2025-11-14 11:28:16] 执行命令: train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01
+[2025-11-14 11:28:16] 完整命令: cd /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics && echo '===== 训练任务信息 =====' > 003_CarRoadLane_N_1114-1100.log && echo '运行名称: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo '训练时间: $(date)' >> 003_CarRoadLane_N_1114-1100.log && echo 'YOLO版本: yolo11' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo 'project_path: /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics' >> 003_CarRoadLane_N_1114-1100.log && echo 'data_file: /home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml' >> 003_CarRoadLane_N_1114-1100.log && echo 'model_file: /home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt' >> 003_CarRoadLane_N_1114-1100.log && echo 'epochs: 220' >> 003_CarRoadLane_N_1114-1100.log && echo 'batch_size: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'img_size: 1280' >> 003_CarRoadLane_N_1114-1100.log && echo 'workers: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'device: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'project: 003_CarRoadLane' >> 003_CarRoadLane_N_1114-1100.log && echo 'name: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo 'exist_ok: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'resume: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'optimizer: SGD' >> 003_CarRoadLane_N_1114-1100.log && echo 'lr0: 0.01' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo '===== 开始训练 =====' >> 003_CarRoadLane_N_1114-1100.log && CUDA_VISIBLE_DEVICES=0 nohup /home/thsw2/miniconda3/envs/jcq_yolo11/bin/yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 >> 003_CarRoadLane_N_1114-1100.log 2>&1 & echo $!
+[2025-11-14 11:28:34] 输出: 994531
+
+
+
+
+
+
+yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 
+
+
+
+
+
+

backend/data/uploads/kb_7/d9857870-20aa-44c6-9022-43502b369956_周报.txt

@@ -0,0 +1,40 @@
+
+
+
+2025.10.13-2025.10.17 
+
+1、项目支撑
+
+1.1）边缘计算项目评估支撑 -- 提供算法，确定提供算法模型，100%；
+1.2）陕西交控算法训练 ，待提供素材；
+1.3）水利标书文件算法部分补充，100%；
+1.4）溧宁高速算法优化，已确定问题，待排期处理。
+1.5）外购数据集评估，100%；
+
+2、算法开发
+
+2.1) yolov11算法 的环境搭建，测试，训练完成 ，下一步将其移植到AILIB2框架优化现有算法。100%
+2.2）公路违停算法优化：标注车道线数据集并训练，已完成 ，下一步测试算法效果。80%
+
+3、DSP优化：
+3.1）自测功能中，下周完成转测 ，70%。
+
+
+
+
+[2025-11-14 11:28:16] 执行命令: train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01
+[2025-11-14 11:28:16] 完整命令: cd /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics && echo '===== 训练任务信息 =====' > 003_CarRoadLane_N_1114-1100.log && echo '运行名称: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo '训练时间: $(date)' >> 003_CarRoadLane_N_1114-1100.log && echo 'YOLO版本: yolo11' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo 'project_path: /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics' >> 003_CarRoadLane_N_1114-1100.log && echo 'data_file: /home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml' >> 003_CarRoadLane_N_1114-1100.log && echo 'model_file: /home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt' >> 003_CarRoadLane_N_1114-1100.log && echo 'epochs: 220' >> 003_CarRoadLane_N_1114-1100.log && echo 'batch_size: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'img_size: 1280' >> 003_CarRoadLane_N_1114-1100.log && echo 'workers: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'device: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'project: 003_CarRoadLane' >> 003_CarRoadLane_N_1114-1100.log && echo 'name: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo 'exist_ok: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'resume: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'optimizer: SGD' >> 003_CarRoadLane_N_1114-1100.log && echo 'lr0: 0.01' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo '===== 开始训练 =====' >> 003_CarRoadLane_N_1114-1100.log && CUDA_VISIBLE_DEVICES=0 nohup /home/thsw2/miniconda3/envs/jcq_yolo11/bin/yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 >> 003_CarRoadLane_N_1114-1100.log 2>&1 & echo $!
+[2025-11-14 11:28:34] 输出: 994531
+
+
+
+
+
+
+yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 
+
+
+
+
+
+

backend/data/uploads/kb_7/da0ec296-a120-4114-8edc-a03f35fd4d6e_周报.txt

@@ -0,0 +1,40 @@
+
+
+
+2025.10.13-2025.10.17 
+
+1、项目支撑
+
+1.1）边缘计算项目评估支撑 -- 提供算法，确定提供算法模型，100%；
+1.2）陕西交控算法训练 ，待提供素材；
+1.3）水利标书文件算法部分补充，100%；
+1.4）溧宁高速算法优化，已确定问题，待排期处理。
+1.5）外购数据集评估，100%；
+
+2、算法开发
+
+2.1) yolov11算法 的环境搭建，测试，训练完成 ，下一步将其移植到AILIB2框架优化现有算法。100%
+2.2）公路违停算法优化：标注车道线数据集并训练，已完成 ，下一步测试算法效果。80%
+
+3、DSP优化：
+3.1）自测功能中，下周完成转测 ，70%。
+
+
+
+
+[2025-11-14 11:28:16] 执行命令: train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01
+[2025-11-14 11:28:16] 完整命令: cd /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics && echo '===== 训练任务信息 =====' > 003_CarRoadLane_N_1114-1100.log && echo '运行名称: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo '训练时间: $(date)' >> 003_CarRoadLane_N_1114-1100.log && echo 'YOLO版本: yolo11' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo 'project_path: /home/thsw2/jcq/projects/yolov11/ultralytics-main/ultralytics' >> 003_CarRoadLane_N_1114-1100.log && echo 'data_file: /home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml' >> 003_CarRoadLane_N_1114-1100.log && echo 'model_file: /home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt' >> 003_CarRoadLane_N_1114-1100.log && echo 'epochs: 220' >> 003_CarRoadLane_N_1114-1100.log && echo 'batch_size: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'img_size: 1280' >> 003_CarRoadLane_N_1114-1100.log && echo 'workers: 4' >> 003_CarRoadLane_N_1114-1100.log && echo 'device: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'project: 003_CarRoadLane' >> 003_CarRoadLane_N_1114-1100.log && echo 'name: 003_CarRoadLane_N_1114-1100' >> 003_CarRoadLane_N_1114-1100.log && echo 'exist_ok: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'resume: False' >> 003_CarRoadLane_N_1114-1100.log && echo 'optimizer: SGD' >> 003_CarRoadLane_N_1114-1100.log && echo 'lr0: 0.01' >> 003_CarRoadLane_N_1114-1100.log && echo '' >> 003_CarRoadLane_N_1114-1100.log && echo '===== 开始训练 =====' >> 003_CarRoadLane_N_1114-1100.log && CUDA_VISIBLE_DEVICES=0 nohup /home/thsw2/miniconda3/envs/jcq_yolo11/bin/yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 >> 003_CarRoadLane_N_1114-1100.log 2>&1 & echo $!
+[2025-11-14 11:28:34] 输出: 994531
+
+
+
+
+
+
+yolo train data=/home/thsw2/jcq/projects/yolov11/tuohengTraintask/Datasets/jcq/003_CarRoadLane.yaml model=/home/thsw2/jcq/projects/yolov11/weights/yolo11n.pt epochs=220 batch=4 imgsz=1280 workers=4 project=003_CarRoadLane name=003_CarRoadLane_N_1114-1100 optimizer=SGD lr0=0.01 
+
+
+
+
+
+

backend/docker-compose.yml

@@ -1,17 +0,0 @@
-services:
-  db:
-    image: pgvector/pgvector:pg16
-    container_name: pgvector-db
-    environment:
-      POSTGRES_USER: drgraph
-      POSTGRES_PASSWORD: yingping
-      POSTGRES_DB: th_agenter
-    ports:
-      - "5432:5432"
-    volumes:
-      - pgdata:/var/lib/postgresql/data
-    restart: unless-stopped
-
-volumes:
-  pgdata:
-  # docker exec -it pgvector-db psql -U drgraph -d th_agenter

backend/main.py

@@ -1,157 +0,0 @@
-# uvicorn main:app --host 0.0.0.0 --port 8000 --reload
-from fastapi import FastAPI
-from os.path import dirname, realpath
-
-from dotenv import load_dotenv
-load_dotenv()
-
-from utils.util_log import init_logger
-from loguru import logger
-base_dir: str = dirname(realpath(__file__))
-init_logger(base_dir)
-
-from th_agenter.api.routes import router
-from contextlib import asynccontextmanager
-from starlette.exceptions import HTTPException as StarletteHTTPException
-from fastapi.exceptions import RequestValidationError
-from fastapi.responses import JSONResponse
-from fastapi.staticfiles import StaticFiles
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    """Application lifespan manager."""
-    logger.info("[生命周期] - Starting up TH Agenter application...")
-    yield
-    # Shutdown
-    logger.info("[生命周期] - Shutting down TH Agenter application...")
-
-def setup_exception_handlers(app: FastAPI) -> None:
-    """Setup global exception handlers."""
-    
-    # Import custom exceptions and handlers
-    from utils.util_exceptions import ChatAgentException, chat_agent_exception_handler
-    
-    @app.exception_handler(ChatAgentException)
-    async def custom_chat_agent_exception_handler(request, exc):
-        return await chat_agent_exception_handler(request, exc)
-    
-    @app.exception_handler(StarletteHTTPException)
-    async def http_exception_handler(request, exc):
-        from utils.util_exceptions import HxfErrorResponse
-        logger.exception(f"HTTP Exception: {exc.status_code} - {exc.detail} - {request.method} {request.url}")
-        return HxfErrorResponse(exc.status_code, exc.detail)
-    
-    def make_json_serializable(obj):
-        """递归地将对象转换为JSON可序列化的格式"""
-        if obj is None or isinstance(obj, (str, int, float, bool)):
-            return obj
-        elif isinstance(obj, bytes):
-            return obj.decode('utf-8')
-        elif isinstance(obj, (ValueError, Exception)):
-            return str(obj)
-        elif isinstance(obj, dict):
-            return {k: make_json_serializable(v) for k, v in obj.items()}
-        elif isinstance(obj, (list, tuple)):
-            return [make_json_serializable(item) for item in obj]
-        else:
-            # For any other object, convert to string
-            return str(obj)
-
-    @app.exception_handler(RequestValidationError)
-    async def validation_exception_handler(request, exc):
-        # Convert any non-serializable objects to strings in error details
-        try:
-            errors = make_json_serializable(exc.errors())
-        except Exception as e:
-            # Fallback: if even our conversion fails, use a simple error message
-            errors = [{"type": "serialization_error", "msg": f"Error processing validation details: {str(e)}"}]
-            logger.exception(f"Request Validation Error: {errors}")
-        
-        logger.exception(f"validation_error: {errors}")
-        return JSONResponse(
-            status_code=422,
-            content={
-                "error": {
-                    "type": "validation_error",
-                    "message": "Request validation failed",
-                    "details": errors
-                }
-            }
-        )
-    
-    @app.exception_handler(Exception)
-    async def general_exception_handler(request, exc):
-        logger.error(f"Unhandled exception: {exc}", exc_info=True)
-        return JSONResponse(
-            status_code=500,
-            content={
-                "error": {
-                    "type": "internal_error",
-                    "message": "Internal server error"
-                }
-            }
-        )
-
-def create_app() -> FastAPI:
-    """Create and configure FastAPI application."""
-    from th_agenter.core.config import get_settings
-    settings = get_settings()
-    
-    # Create FastAPI app
-    app = FastAPI(
-        title=settings.app_name,
-        version=settings.app_version,
-        description="基于Vue的第一个聊天智能体应用，使用FastAPI后端，由TH Agenter修改",
-        debug=settings.debug,
-        lifespan=lifespan,
-    )
-    app.mount("/static", StaticFiles(directory="static"), name="th_agenter_static")
-    
-    # Add middleware
-    from th_agenter.core.app import setup_middleware
-    setup_middleware(app, settings)  
-    
-    # # Add exception handlers
-    setup_exception_handlers(app)
-    add_router(app)
-
-    return app
-
-def add_router(app: FastAPI) -> None:
-    """Add default routers to the FastAPI application."""
-
-    @app.get("/")
-    def read_root():
-        logger.info("Hello World")
-        return {"Hello": "World"}
-
-    # Include routers
-    app.include_router(router, prefix="/api")
-
-
-
-    # app.include_router(table_metadata.router)
-    # # 在现有导入中添加
-    # from ..api.endpoints import database_config
-
-    # # 在路由注册部分添加
-    # app.include_router(database_config.router)
-    # # Health check endpoint
-    # @app.get("/health")
-    # async def health_check():
-    #     return {"status": "healthy", "version": settings.app_version}
-    
-    # # Root endpoint
-    # @app.get("/")
-    # async def root():
-    #     return {"message": "Chat Agent API is running"}
-    
-    # # Test endpoint
-    # @app.get("/test")
-    # async def test_endpoint():
-    #     return {"message": "API is working"}
-    
-
-app = create_app()
-
-# from utils.util_test import test_db
-# test_db()

backend/th_agenter/api/__init__.py

@@ -1 +1 @@
-"""API module for TH Agenter."""
+"""API module for TH-Agenter."""

backend/th_agenter/api/endpoints/__init__.py

@@ -1 +1 @@
-"""API endpoints for TH Agenter."""
+"""API endpoints for TH-Agenter."""