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evidence and local induction run reports +cad-experience-plugin/work/ + +# STEP inbox and private per-part reconstruction JSON +cad-experience-plugin/parser/input/* +!cad-experience-plugin/parser/input/.gitkeep +cad-experience-plugin/parser/output/* +!cad-experience-plugin/parser/output/.gitkeep diff --git a/CADDesigner-Code/.gitignore b/CADDesigner-Code/.gitignore deleted file mode 100644 index 52e5191..0000000 --- a/CADDesigner-Code/.gitignore +++ /dev/null @@ -1,46 +0,0 @@ -# OS, editor, and local dotfiles -.DS_Store -.* -!**/.gitignore - -# Python caches and build artifacts -**/__pycache__/ -*.py[oc] -build/ -dist/ -wheels/ -*.egg-info/ - -# Virtual environments -.venv/ - -# Local secrets and provider configuration -**/provider.json - -# Runtime data, logs, and generated reports -*.log -*.diff -*.patch -log*/ -pytest-cache-files-*/ -.pytest_cache/ -sandbox/ -sandbox*/ -**/data/ -**/agent_logs/* -agent_logs/* -**/trace_indices/ - -# Non-public experiment and image assets -experiment/ -experiments/ -img/ - -# Generated documentation directories -**/docs/ - -# Workspace: keep skill references, ignore generated outputs -workspace/* -!workspace/.gitignore -!workspace/skills/ -!workspace/skills/** diff --git a/CADDesigner-Code/LICENSE b/CADDesigner-Code/LICENSE deleted file mode 100644 index 89e08fb..0000000 --- a/CADDesigner-Code/LICENSE +++ /dev/null @@ -1,339 +0,0 @@ - GNU GENERAL PUBLIC LICENSE - Version 2, June 1991 - - Copyright (C) 1989, 1991 Free Software Foundation, Inc., - 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The licenses for most software are designed to take away your -freedom to share and change it. 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If this is what you want to do, use the GNU Lesser General -Public License instead of this License. diff --git a/CADDesigner-Code/README.md b/CADDesigner-Code/README.md deleted file mode 100644 index 6dd6c70..0000000 --- a/CADDesigner-Code/README.md +++ /dev/null @@ -1,707 +0,0 @@ -
- -# CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent - -Fengxiao Fan\* · Jingzhe Ni\* · Xiaolong Yin · Sirui Wang · Xingyu Lu · Qiang Zou · Ruofeng Tong · Min Tang · Peng Du† - -Zhejiang University, China - -(\* equal contribution, † corresponding author) - -[![Paper PDF](https://img.shields.io/badge/Paper-PDF-b31b1b.svg)](https://562590763.github.io/CADDesigner/files/CADDesigner.pdf) -[![Elsevier](https://img.shields.io/badge/Elsevier-Published-f36c21.svg)](https://www.sciencedirect.com/science/article/pii/S0010448526000576) -[![Project Page](https://img.shields.io/badge/Project%20Page-Website-blue.svg)](https://562590763.github.io/CADDesigner/) -[![Code](https://img.shields.io/badge/Code-GitHub-black.svg)](https://github.com/562590763/CADDesigner-Code) - -CADDesigner framework - -
- -## News - -- **2026.05**: CADDesigner is published in *Computer-Aided Design*. -- **Code release**: This repository contains the public implementation and setup instructions. - -## Abstract - -Computer-Aided Design (CAD) plays a pivotal role in industrial manufacturing but typically requires a high level of expertise from designers. To lower the entry barrier and improve design efficiency, CADDesigner presents an LLM-powered general-purpose agent for conceptual CAD design. The agent accepts textual descriptions and sketches as input, interacts with users to refine and clarify design requirements, and generates executable CAD modeling code. - -CADDesigner is built around the **Explicit Context Imperative Paradigm (ECIP)**, which makes modeling context, intermediate state, and operation intent explicit during code generation. During generation, the agent uses execution feedback and rendered visual feedback to repair the CAD program iteratively. Generated design cases can be stored in a structured knowledge base, providing a path for continual improvement of CAD code generation. - -## Highlights - -- **Natural-language CAD modeling**: describe a CAD model in text and let the agent generate executable modeling code. -- **Sketch-aware conceptual design**: use sketch or image references together with text prompts. -- **Requirement refinement**: expand vague user requests into structured modeling specifications before code generation. -- **ECIP-based CAD code generation**: represent modeling context and operation state explicitly for more reliable code synthesis. -- **Execution and automatic repair**: run generated code, inspect errors, and repair common CAD modeling failures. -- **Visual feedback loop**: compare rendered model views with the design requirement and revise the model when needed. -- **Interactive development**: support command-line use, API service mode, and a React Web UI. -- **File and artifact management**: save generated scripts, STEP/STL files, rendered images, and conversation context. - -## Method Overview - -CADDesigner follows a ReAct-style agent workflow for conceptual CAD generation: - -1. **Receive Requirement**: the user provides a text prompt and optionally a sketch or reference image. -2. **Requirement Expansion**: a specialist subagent expands the request into dimensions, constraints, assumptions, APIs, and an ordered modeling process. -3. **Code Generation**: CADDesigner produces executable CAD modeling code with explicit context and operation intent. -4. **Execution and Export**: the generated script is executed and exports STEP/STL artifacts. -5. **Error Handling**: tracebacks and missing artifacts trigger automatic repair. -6. **Visual Feedback**: rendered views are checked against the user intent. -7. **Task Completion**: final scripts and exported model artifacts are returned to the user. - -## 🚀 Features - -- **Natural-language CAD modeling**: describe a 3D model in plain language and let the agent generate accurate CAD code. -- **Multi-framework support**: supports CADQuery, SimpleCADAPI, PythonOCC-related workflows, and extensible CAD tooling. -- **Interactive development**: generate, execute, inspect, and debug CAD code in an iterative loop. -- **Intelligent query expansion**: automatically expands ambiguous requirements into detailed modeling specifications. -- **File management**: built-in file tools help save, inspect, and organize generated models. -- **Error handling and automatic repair**: detects common CAD modeling failures and attempts to repair them. -- **Web interface**: provides a FastAPI backend and React frontend for multi-session interaction. - -### Core Components - -1. **BaseAgent**: the main AI agent that coordinates the full workflow. -2. **Tools**: specialized tools for CAD code generation, file operations, command execution, rendering, and feedback. -3. **Config**: manages LLM provider configuration, API keys, and model routing. -4. **CLI Interface**: rich terminal-based interaction for local modeling. -5. **Web Interface**: FastAPI service and React UI for browser-based use. -6. **Skill References**: CAD API and workflow references used by specialist subagents under `workspace/skills/`. - -## 📋 Prerequisites - -### System Requirements - -- Python 3.12, as specified in `pyproject.toml` -- Docker, if you want to use the bundled Redis service or full Docker deployment -- Node.js and pnpm, if you want to run the React frontend in development mode - -### Required Python Packages - -This project uses [uv](https://github.com/astral-sh/uv) for fast and reliable dependency management. - -Install all dependencies with: - -```bash -uv sync -``` - -In the development environment, `pyproject.toml` and `uv.lock` are the source of truth for dependencies. The committed `requirements.txt` is exported from `uv.lock` for Docker and deployment environments. - -## ⚙️ Configuration - -### 1. Environment Variables - -The project reads environment variables from a `.env` file in the repository root. Create one from the provided template: - -```bash -cp docker/env.example .env -``` - -Configurable variables include: - -- **Redis configuration** - - `REDIS_DB`: Redis database index - - `REDIS_PASSWORD`: Redis password - - `REDIS_HOST`: Redis host - - `REDIS_PORT`: Redis port - -- **Storage configuration** - - `CONTEXT_DIR`: context storage directory - - `CONTEXT_AUTO_SUMMARIZE_TRIGGER`: automatic summarization threshold, defaulting to `1000000`, which effectively disables automatic summarization - - `SKETCH_DIR`: SketchPad storage directory - -- **Observability configuration, optional** - - `LANGFUSE_SECRET_KEY`: Langfuse secret key - - `LANGFUSE_PUBLIC_KEY`: Langfuse public key - - `LANGFUSE_BASE_URL`: Langfuse service URL - -### 2. LLM Provider Configuration - -Generate the provider configuration file from the template and then edit it: - -```bash -cp config/provider_template.json config/provider.json -``` - -Edit `config/provider.json` with your own provider settings and API keys: - -```json -{ - "volc_engine": [ - { - "model_name": "deepseek-v3-250324", - "api_keys": ["your_api_key_here"], - "base_url": "https://ark.cn-beijing.volces.com/api/v3/", - "max_retries": 3, - "retry_delay": 1 - } - ], - "openrouter": [ - { - "model_name": "anthropic/claude-sonnet-4.6", - "api_keys": ["your_api_key_here"], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "google/gemini-3.1-pro-preview", - "api_keys": ["your_api_key_here"], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "google/gemini-3-flash-preview", - "api_keys": ["your_api_key_here"], - "base_url": "https://openrouter.ai/api/v1" - } - ] -} -``` - -Do not commit real API keys. - -### 3. LLM Interface Configuration - -The agent uses different LLM interfaces for different tasks: - -- **BASIC_INTERFACE**: general conversation and coordination -- **CODE_INTERFACE**: CAD code generation and repair, usually requiring a stronger model -- **QUICK_INTERFACE**: query expansion and lightweight tasks - -These routes are configured in `config/config.py` and `config/provider.json`. - -## 🚀 Quick Start - -### Installation - -1. Clone the repository: - -```bash -git clone https://github.com/562590763/CADDesigner-Code.git -cd CADDesigner -``` - -2. Install dependencies: - -```bash -uv sync -``` - -3. Install the repository Git hook, optional for development: - -```bash -./scripts/install_git_hooks.sh -``` - -The hook automatically runs `uv export` before commits, refreshing and staging `requirements.txt`. - -4. Configure your LLM provider as described above. - -5. Start Redis, required by the backend. - -The backend uses Redis in CLI, API, and Web modes. By default, the configuration reads `REDIS_HOST=localhost` and `REDIS_PORT=9736` from `.env`. If you do not already have a local Redis instance, use the bundled Docker Compose file: - -```bash -# Start local development Redis -docker compose -f docker/docker-compose.redis.yml up -d - -# Check Redis status -docker compose -f docker/docker-compose.redis.yml ps - -# Stop and remove the Redis container -docker compose -f docker/docker-compose.redis.yml down -``` - -You can also verify Redis manually: - -```bash -docker compose -f docker/docker-compose.redis.yml ps -redis-cli -p 9736 ping -``` - -### Run the Agent - -#### Method 1: Command-Line Interface - -Start interactive CADDesigner: - -```bash -LOG_LEVEL=WARNING uv run python main.py -# Press Ctrl+D after finishing multi-line input -``` - -#### Method 2: Web Interface, Recommended - -The current Web stack uses a FastAPI backend and a React frontend. - -**Option A: one-command startup, recommended** - -```bash -# Start both the API server and the React Web UI -uv run python start_caddesigner_full.py -``` - -**Option B: start services separately** - -```bash -# Terminal 1: start the API server -uv run python start_caddesigner_api.py - -# Terminal 2: start the Web UI -uv run python start_caddesigner_ui.py -``` - -Access the Web interface: - -- **Local React Web UI**: -- **Local API docs**: -- **Local health check**: - -If you start with `--api-host 0.0.0.0` or `--ui-host 0.0.0.0` and want to access from another machine, replace `127.0.0.1` with the server IP or domain: - -- **Remote React Web UI**: `http://:7860` -- **Remote API docs**: `http://:8000/docs` - -#### Method 3: Start the Frontend Directly Under `frontend/` - -The repository also provides a TypeScript + React frontend under `frontend/`, suitable for frontend development and richer multi-session agent chat. - -```bash -# Terminal 1: start API -uv run python start_caddesigner_api.py - -# Terminal 2: start React UI -cd frontend -pnpm install -pnpm dev -``` - -Access addresses: - -- **React UI**: -- **Backend API**: - -#### Advanced Configuration - -**Custom ports and hosts** - -```bash -# Custom configuration -uv run python start_caddesigner_full.py \ - --api-port 8001 \ - --ui-port 7861 \ - --api-host 0.0.0.0 \ - --ui-host 0.0.0.0 - -# Development mode with reload -uv run python start_caddesigner_full.py --reload --debug - -# By default, generated runtime artifacts are written under ./workspace. - -# Production-style deployment -uv run python start_caddesigner_full.py \ - --workers 4 \ - --working-dir /var/lib/caddesigner -``` - -**Remote deployment** - -```bash -# Server A: API service -uv run python start_caddesigner_api.py --host 0.0.0.0 --port 8000 - -# Server B: Web UI pointing to Server A -uv run python start_caddesigner_ui.py \ - --host 0.0.0.0 \ - --port 7860 \ - --api-url http://server-a:8000 -``` - -For detailed startup options, see [STARTUP_GUIDE.md](STARTUP_GUIDE.md). - -#### Method 4: Docker Deployment, Recommended for Production - -Docker can quickly deploy the full CADDesigner system, including Redis, the FastAPI API service, and the React Web UI. - -Notes: - -- `docker/docker-compose.yml` starts **Redis + API + React Web UI** together. -- `docker/docker-compose.redis.yml` starts only Redis, useful for local non-Docker backend development. -- The React Web UI is exposed on port `7860` in Docker. - -**Preparation** - -1. Configure model providers: - -```bash -cp docker/provider_template.json docker/provider.json -``` - -Edit `docker/provider.json` with your model provider and API key settings. - -2. Configure Docker Compose environment variables: - -```bash -cp docker/env.example docker/.env -``` - -Edit `docker/.env` if needed. Common values include: - -```bash -# Storage directories -CONTEXT_DIR=workspace/data/contexts -CONTEXT_AUTO_SUMMARIZE_TRIGGER=1000000 -SKETCH_DIR=workspace/data/sketches - -# Logging -LOG_DIR=workspace/agent_logs -LOG_LEVEL=WARNING -``` - -**Start services** - -```bash -docker compose -f docker/docker-compose.yml up -d --build -``` - -The image build uses `requirements.txt`, which is exported from `uv.lock`. When dependency changes are committed, make sure the Git hook has refreshed `requirements.txt`. - -The Compose file starts three services: - -- `simplecad_redis`: Redis -- `simplecad_api`: FastAPI API service -- `simplecad_webui`: React Web UI, with Vite proxying to the API - -**Access services** - -- **Local React Web UI**: -- **Local API service**: -- **Local API docs**: - -If accessing from another machine, replace `127.0.0.1` with the host IP or domain: - -- **Remote React Web UI**: `http://:7860` -- **Remote API service**: `http://:8000` -- **Remote API docs**: `http://:8000/docs` - -**Manage services** - -```bash -# Show service status -docker compose -f docker/docker-compose.yml ps - -# Follow logs -docker compose -f docker/docker-compose.yml logs -f - -# Stop services -docker compose -f docker/docker-compose.yml down - -# Restart services -docker compose -f docker/docker-compose.yml restart - -# Remove all volumes, use with care -docker compose -f docker/docker-compose.yml down -v -``` - -**Production deployment suggestions** - -1. Change default ports if needed: - -```yaml -# Edit docker/docker-compose.yml -ports: - - "your_port:7860" # React UI port - - "your_port:8000" # API port -``` - -2. Configure a reverse proxy, for example with Nginx: - -```nginx -server { - listen 80; - server_name your-domain.com; - - location / { - proxy_pass http://localhost:7860; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - } - - location /v1/ { - proxy_pass http://localhost:8000/v1/; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - } - - location /health { - proxy_pass http://localhost:8000/health; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - } -} -``` - -### Basic Usage Examples - -1. **Simple object creation** - -```text -Create a cube with side length 50 mm. -``` - -2. **Complex mechanical part** - -```text -Create a DN100 PN16 welding flange according to the ASME B16.5 standard. -``` - -3. **Parametric model** - -```text -Design a gear with 18 teeth, module 2.0, and pressure angle 20 degrees. -``` - -4. **Sketch-conditioned design** - -```text -Use the attached sketch as reference and generate the corresponding CAD model. -``` - -### Workflow - -1. **Query input**: describe the CAD model in natural language and optionally provide a sketch. -2. **Requirement expansion**: the agent asks clarification questions and expands the requirement. -3. **Code generation**: CADDesigner generates CAD modeling code. -4. **Execution and export**: the code is executed and exports STEP/STL artifacts. -5. **Error handling**: the agent automatically repairs issues when possible. -6. **Visual feedback**: rendered model views are checked against the design intent. -7. **Task completion**: final code and generated model artifacts are returned. - -## 🛠️ Development Guide - -### Dependency Workflow - -- Development and lock file: use `pyproject.toml` + `uv.lock`. -- Local installation: run `uv sync`. -- Docker export: the pre-commit hook installed by `./scripts/install_git_hooks.sh` automatically generates and stages `requirements.txt` before commits. -- Manual export: - -```bash -./scripts/export_requirements.sh -``` - -### Project Structure - -```text -agent/ Core agent implementation -config/ LLM provider and routing configuration -context/ Conversation, context, and SketchPad management -docker/ Dockerfiles and Compose templates -frontend/ React Web UI -observability/ Langfuse tracing integration -scripts/ Development helper scripts -tools/ CAD generation, command, file, rendering, and repair tools -web_interface/ FastAPI server and routers -workspace/skills/ CAD skill and API references used by subagents -``` - -#### `agent/BaseAgent.py` - -The core agent is responsible for: - -- managing conversation history and memory -- coordinating tool use -- handling streaming responses -- implementing memory-management strategies - -Key methods: - -- `run()`: main execution method -- `memory_manage()`: summarizes and manages conversation history -- `chat_impl()`: core chat logic and detailed agent instructions - -#### `tools/` - -The tools package contains specialized tools: - -- **`make_user_query_more_detailed`**: expands user requirements into detailed modeling specifications. -- **`cad_code_generator`**: a single-call specialist subagent that creates, modifies, and debugs `model.py` with built-in file tools and command execution. -- **`execute_command`**: runs system commands and modeling scripts. -- **`sketch_pad_operations`**: stores, retrieves, searches, and manages SketchPad data. -- **`get_visual_feedback`**: renders and evaluates generated models with visual feedback. -- **SimpleLLMFunc built-in file tools**: `read_file`, `grep`, `sed`, and `echo_into`. - -#### `config/config.py` - -This module manages: - -- LLM provider configuration -- API key loading -- model-selection strategy -- routing between basic, code, and quick interfaces - -### Adding New Tools - -Add a new CAD tool: - -1. Create the new function in the appropriate split module, such as `tools/code_tools.py`, `tools/command_tools.py`, `tools/requirements_tools.py`, or a new module under `tools/`: - -```python -@tool( - name="your_tool_name", - description="What your tool does" -) -def your_tool_function(param1: str, param2: int) -> str: - """ - Your tool implementation. - """ - # Tool logic goes here. - return result -``` - -2. Export and register the tool in the toolkit. For example, expose it from `tools/__init__.py` and add it to the agent toolkit where the tool list is assembled: - -```python -toolkit = [ - make_user_query_more_detailed, - cad_code_generator, - execute_command, - sketch_pad_operations, - get_visual_feedback, - # SimpleLLMFunc built-in file tools are created from create_builtin_file_tools(...) - your_tool_function, # Add your new tool here. -] -``` - -### Extending LLM Support - -To add a new LLM provider: - -1. Add the provider configuration to `config/provider.json`. -2. Update `config/config.py` if additional routing logic is needed. -3. Test the provider on requirement refinement, code generation, and repair tasks. - -### Customizing Agent Behavior - -Agent behavior is defined by the orchestration logic and prompts in `agent/` and `tools/`. You can customize: - -- response format -- tool-use strategy -- error-handling strategy -- visual-feedback policy -- memory-management strategy - -## 🧪 Testing - -### Manual Testing - -```bash -uv run python main.py -``` - -Example prompt: - -```text -Create a simple cylinder with radius 10 mm and height 20 mm. -``` - -### Automated Testing - -Run tests with: - -```bash -uv run pytest -``` - -Recommended test coverage includes: - -- code generation quality -- error handling -- file operations -- tool integration -- Web event streaming - -## 📁 Output Management - -Generated models are usually saved under task-specific directories. We recommend using `workspace/` as the unified output root: - -```text -workspace/ -|-- DN100_PN16_welding_flange/ -| |-- model.py -| |-- model.step -| |-- model.stl -| `-- model_multi_view_render.png -`-- gear_18_teeth/ - |-- model.py - |-- model.step - |-- model.stl - `-- model_multi_view_render.png -``` - -Generated artifacts and local workspaces should not be committed to the public repository. - -## 🤝 Contributing - -1. Fork the repository. -2. Create a feature branch: `git checkout -b feature-name`. -3. Make changes and test them thoroughly. -4. Submit a pull request with a clear description. - -### Code Style - -- Follow PEP 8 for Python code. -- Use type hints where possible. -- Add docstrings for public functions. -- Test new functionality before committing. - -## 📝 License - -This repository is released under the GPL-2.0 license. See [LICENSE](LICENSE) for details. - -## 🆘 Support - -If you have questions or need support: - -1. Check the troubleshooting and startup documentation. -2. Search existing issues. -3. Create a new issue with detailed error information. - -## 🔮 Roadmap - -- [ ] Browser-based Web interface improvements -- [ ] Integration with more CAD formats, such as IGES and STL -- [ ] Advanced parametric modeling -- [ ] Integration with simulation tools -- [ ] Multilingual support -- [ ] CAD model optimization suggestions -- [ ] Manufacturing database integration - -## Citation - -If you find this work useful, please cite: - -DOI: [10.1016/j.cad.2026.104087](https://doi.org/10.1016/j.cad.2026.104087) - -```bibtex -@article{fan2026caddesigner, - author = {Fengxiao Fan and Jingzhe Ni and Xiaolong Yin and Sirui Wang and Xingyu Lu and Qiang Zou and Ruofeng Tong and Min Tang and Peng Du}, - title = {{CADDesigner}: Conceptual CAD Model Generation with a General-Purpose Agent}, - journal = {Computer-Aided Design}, - volume = {198}, - pages = {104087}, - year = {2026}, - doi = {10.1016/j.cad.2026.104087} -} -``` - -## Acknowledgements - -This work was supported by the Leading Goose R&D Program of Zhejiang under Grant No. 2024C01103. - -CADDesigner builds on open-source CAD and agent tooling, including CADQuery, PythonOCC, FastAPI, React, uv, and the broader Python CAD ecosystem. We thank the maintainers and contributors of these projects. - ---- - -**Note**: This project is designed for research, education, and professional CAD modeling assistance. Always verify that generated models satisfy your specific design, manufacturing, and safety requirements. diff --git a/CADDesigner-Code/STARTUP_GUIDE.md b/CADDesigner-Code/STARTUP_GUIDE.md deleted file mode 100644 index d8e66b0..0000000 --- a/CADDesigner-Code/STARTUP_GUIDE.md +++ /dev/null @@ -1,74 +0,0 @@ -# CADDesigner Startup Guide - -The repository currently keeps one Web runtime stack: FastAPI backend plus React frontend. -The old `web_ui/` Gradio implementation has been removed. - -## Recommended Startup - -### Start Backend And Frontend Together - -```bash -python start_caddesigner_full.py -``` - -Default addresses: - -- React UI: `http://localhost:7860` -- API server: `http://localhost:8000` -- API docs: `http://localhost:8000/docs` - -### Start Backend Only - -```bash -python start_caddesigner_api.py -``` - -### Start Frontend Only - -```bash -python start_caddesigner_ui.py -``` - -This is useful when the API is already running locally or remotely. Use `--api-url` to switch the target API address. - -## Frontend Development Mode - -If you are developing `frontend/` itself, start the backend separately and then run Vite directly: - -```bash -python start_caddesigner_api.py --reload -cd frontend -pnpm install -pnpm dev -``` - -When Vite is run directly, the default address is `http://localhost:4173`. - -## Common Arguments - -`start_caddesigner_full.py`: - -- `--api-host` / `--api-port`: backend listen address -- `--ui-host` / `--ui-port`: frontend listen address -- `--working-dir`: API process working directory. Defaults to `./workspace`, so generated scripts, STEP/STL files, and render artifacts are kept out of the repository root. -- `--reload`: auto-reload backend in development mode -- `--debug`: print additional debugging information - -`start_caddesigner_api.py`: - -- `--host` / `--port`: backend listen address -- `--working-dir`: API process working directory. Defaults to `./workspace`, so generated scripts, STEP/STL files, and render artifacts are kept out of the repository root. -- `--reload`: auto-reload backend in development mode -- `--workers`: number of worker processes when reload is disabled - -`start_caddesigner_ui.py`: - -- `--host` / `--port`: frontend listen address -- `--api-url`: backend address used by the Vite proxy -- `--debug`: print additional debugging information - -## Notes - -- `start_caddesigner_full.py` waits for the backend health check to pass before starting the React UI. -- `start_caddesigner_ui.py` automatically installs frontend dependencies when `frontend/node_modules/` is missing. -- The backend process still controls the business working directory and artifact paths. By default, runtime outputs are written under `workspace/` while the tracked skill references remain under `workspace/skills/`. diff --git a/CADDesigner-Code/agent/AgentRegister.py b/CADDesigner-Code/agent/AgentRegister.py deleted file mode 100644 index e41d33e..0000000 --- a/CADDesigner-Code/agent/AgentRegister.py +++ /dev/null @@ -1,324 +0,0 @@ -""" -Agent registration mechanism. -Used to manage multiple Agent instances and supports selecting different Agents by model name. -""" - -from typing import Dict, Optional, Type, List, Any -from .BaseAgent import BaseAgent -from config.config import get_config -import threading - - -class AgentRegistry: - """Agent registry, managing multiple Agent instances.""" - - def __init__(self): - self._agents: Dict[str, BaseAgent] = {} - self._agent_classes: Dict[str, Type[BaseAgent]] = {} - self._lock = threading.Lock() - - def register_agent_class(self, model_name: str, agent_class: Type[BaseAgent]): - """ - Register an Agent class. - - Args: - model_name: Model name, used for the model parameter in the API - agent_class: Agent class, inheriting from BaseAgent - """ - with self._lock: - self._agent_classes[model_name] = agent_class - - def _create_agent_instance( - self, - model_name: str, - name: Optional[str] = None, - description: Optional[str] = None, - context_file: Optional[str] = None, - **kwargs - ) -> BaseAgent: - """ - Internal method: create an Agent instance. - - Args: - model_name: Model name - name: Agent name - description: Agent description - context_file: Context file path - **kwargs: Other parameters - - Returns: - Agent instance - """ - if model_name not in self._agent_classes: - raise ValueError(f"Unknown model: {model_name}") - - agent_class = self._agent_classes[model_name] - - # Get configuration. - config = get_config() - - # Use default values or passed-in parameters. - agent_name = name or f"{model_name}-agent" - agent_description = description or f"Agent instance for {model_name}" - - # Create the Agent instance. - agent = agent_class( - name=agent_name, - description=agent_description, - llm_interface=config.BASIC_INTERFACE, - context_file=context_file, - model_name=model_name, # Pass model_name to the Agent. - **kwargs - ) - - return agent - - def get_or_create_agent( - self, - model_name: str, - **kwargs - ) -> BaseAgent: - """ - Get or create an Agent instance (singleton pattern). - Ensure each model_name corresponds to only one Agent instance. - - Args: - model_name: Model name - **kwargs: Creation parameters - - Returns: - Agent instance - """ - with self._lock: - if model_name not in self._agents: - self._agents[model_name] = self._create_agent_instance(model_name, **kwargs) - return self._agents[model_name] - - def create_agent( - self, - model_name: str, - force_new: bool = False, - **kwargs - ) -> BaseAgent: - """ - Create an Agent instance. - - Args: - model_name: Model name - force_new: Whether to force creation of a new instance, replacing the existing instance - **kwargs: Other parameters - - Returns: - Agent instance - """ - with self._lock: - if force_new or model_name not in self._agents: - self._agents[model_name] = self._create_agent_instance(model_name, **kwargs) - return self._agents[model_name] - - def get_agent(self, model_name: str) -> Optional[BaseAgent]: - """ - Get an already-created Agent instance. - - Args: - model_name: Model name - - Returns: - Agent instance or None - """ - return self._agents.get(model_name) - - def list_models(self) -> List[str]: - """ - List all registered model names. - - Returns: - List of model names - """ - return list(self._agent_classes.keys()) - - def list_agents(self) -> List[str]: - """ - List all created Agent instances. - - Returns: - List of model names for Agent instances - """ - return list(self._agents.keys()) - - def clear_agents(self): - """Clear all Agent instances.""" - with self._lock: - self._agents.clear() - - def remove_agent(self, model_name: str) -> bool: - """ - Remove an Agent instance. - - Args: - model_name: Model name - - Returns: - Whether removal succeeded - """ - with self._lock: - if model_name in self._agents: - del self._agents[model_name] - return True - return False - - def get_agent_info(self, model_name: str) -> Optional[Dict[str, Any]]: - """ - Get Agent information. - - Args: - model_name: Model name - - Returns: - Agent information dictionary or None - """ - agent = self.get_agent(model_name) - if agent: - return { - "model_name": model_name, - "name": agent.name, - "description": agent.description, - "agent_class": agent.__class__.__name__, - "toolkit_size": len(agent.toolkit), - "session_info": agent.get_session_info(), - "is_singleton": True # Mark this as a singleton instance. - } - return None - - def get_all_agents_info(self) -> Dict[str, Dict[str, Any]]: - """ - Get information for all Agents. - - Returns: - Dictionary of all Agent information - """ - result = {} - with self._lock: - for model_name in self._agents: - info = self.get_agent_info(model_name) - if info: - result[model_name] = info - return result - - def is_agent_active(self, model_name: str) -> bool: - """ - Check whether the Agent with the specified model_name has been created. - - Args: - model_name: Model name - - Returns: - Whether it has been created - """ - return model_name in self._agents - - def get_agent_stats(self) -> Dict[str, Any]: - """ - Get registry statistics. - - Returns: - Statistics dictionary - """ - with self._lock: - return { - "registered_models": len(self._agent_classes), - "active_agents": len(self._agents), - "registered_model_list": list(self._agent_classes.keys()), - "active_agent_list": list(self._agents.keys()) - } - - -# Global Agent registry instance. -_global_registry = AgentRegistry() - - -def get_agent_registry() -> AgentRegistry: - """Get the global Agent registry.""" - return _global_registry - - -def register_agent(model_name: str, agent_class: Type[BaseAgent]): - """ - Convenience function for registering an Agent class. - - Args: - model_name: Model name - agent_class: Agent class - """ - _global_registry.register_agent_class(model_name, agent_class) - - -def get_agent(model_name: str, **kwargs) -> BaseAgent: - """ - Convenience function for getting or creating an Agent instance (singleton pattern). - - Args: - model_name: Model name - **kwargs: Creation parameters, used only during first creation - - Returns: - Agent instance - """ - return _global_registry.get_or_create_agent(model_name, **kwargs) - - -def get_existing_agent(model_name: str) -> Optional[BaseAgent]: - """ - Convenience function for getting an existing Agent instance. - - Args: - model_name: Model name - - Returns: - Agent instance or None - """ - return _global_registry.get_agent(model_name) - - -def create_new_agent(model_name: str, **kwargs) -> BaseAgent: - """ - Convenience function for forcing creation of a new Agent instance. - - Args: - model_name: Model name - **kwargs: Creation parameters - - Returns: - Agent instance - """ - return _global_registry.create_agent(model_name, force_new=True, **kwargs) - - -def list_available_models() -> List[str]: - """ - Convenience function for listing all available models. - - Returns: - List of model names - """ - return _global_registry.list_models() - - -def get_registry_stats() -> Dict[str, Any]: - """ - Convenience function for getting registry statistics. - - Returns: - Statistics dictionary - """ - return _global_registry.get_agent_stats() - - -def clear_all_agents(): - """ - Convenience function for clearing all Agent instances. - """ - _global_registry.clear_agents() - # Also clear BaseAgent's class-level instance cache. - from .BaseAgent import BaseAgent - BaseAgent.clear_instances() diff --git a/CADDesigner-Code/agent/BaseAgent.py b/CADDesigner-Code/agent/BaseAgent.py deleted file mode 100644 index ed8da2b..0000000 --- a/CADDesigner-Code/agent/BaseAgent.py +++ /dev/null @@ -1,473 +0,0 @@ -""" -BaseAgent is the base class for all agents. It defines the basic agent interface and common functionality. -All concrete agent implementations should inherit from this class and implement the abstract methods. - -BaseAgent provides the following features: -- Singleton pattern -- Conversation history management -- SketchPad management -- Toolkit management -""" - -from bootstrap_env import load_project_env - -load_project_env() - -from typing import ( - Dict, - List, - Optional, - Generator, - Sequence, - Tuple, - AsyncGenerator, - Any, -) -from abc import ABC, abstractmethod -from SimpleLLMFunc import llm_chat, OpenAICompatible # type: ignore -import threading -from context.conversation_manager import get_current_context, get_current_sketch_pad -from context.schemas import Message -from react_stream import extract_output_text, is_response_yield -import json -import os -import uuid - - -class BaseAgent(ABC): - """ - Agent base class, defining the basic agent interface and common functionality. - - All concrete agent implementations should inherit from this class and implement the abstract methods. - """ - - # Class-level instance cache, ensuring a singleton for each Agent subclass. - _class_instances: Dict[str, "BaseAgent"] = {} - _class_lock = threading.Lock() - - @classmethod - def get_instance( - cls, - model_name: str, - name: Optional[str] = None, - description: Optional[str] = None, - llm_interface: Optional[OpenAICompatible] = None, - **kwargs, - ) -> "BaseAgent": - """ - Class method for obtaining an Agent instance (singleton pattern). - - Args: - model_name: Model name - name: Agent name - description: Agent description - llm_interface: LLM interface - **kwargs: Other parameters - - Returns: - Agent instance - """ - with cls._class_lock: - # Use the class name and model_name as the unique identifier. - instance_key = f"{cls.__name__}:{model_name}" - - if instance_key not in cls._class_instances: - if not llm_interface: - # If llm_interface is not provided, try to obtain it from the configuration. - from config.config import get_config - - config = get_config() - llm_interface = config.BASIC_INTERFACE - - instance_name = name or f"{model_name}-agent" - instance_description = description or f"Agent instance for {model_name}" - - cls._class_instances[instance_key] = cls( - name=instance_name, - description=instance_description, - llm_interface=llm_interface, - model_name=model_name, - **kwargs, - ) - - return cls._class_instances[instance_key] - - @classmethod - def clear_instances(cls): - """Clear all instance caches.""" - with cls._class_lock: - cls._class_instances.clear() - - @classmethod - def get_all_instances(cls) -> Dict[str, "BaseAgent"]: - """Get all instances.""" - return cls._class_instances.copy() - - def __init__( - self, - name: str, - description: str, - llm_interface: Optional[OpenAICompatible] = None, - model_name: Optional[str] = None, # Add the model_name parameter. - **kwargs, # Extra parameters that subclasses can handle. - ): - self.name = name - self.description = description - self.model_name = model_name # Store model_name. - self.llm_interface = llm_interface - - if not self.llm_interface: - raise ValueError("llm_interface must be provided") - - # Subclasses need to define their own toolkit. - self.toolkit = self.get_toolkit() - - # Initialize the chat function. - self.chat = llm_chat( - llm_interface=self.llm_interface, - toolkit=self.toolkit, # type: ignore - stream=True, - return_mode="raw", - enable_event=True, - max_tool_calls=2000, - timeout=600, - temperature=1.0, - )(self.chat_impl) - - @abstractmethod - def get_toolkit(self) -> Sequence[Any]: - """ - Get the agent-specific toolkit (abstract method). - - Subclasses must implement this method to define their own toolkit. - - Returns: - List of tool functions - """ - pass - - @abstractmethod - def chat_impl( - self, - history: List[Dict[str, Any]], - query: Any, - sketch_pad_summary: str, - ) -> Generator[Tuple[str, List[Dict[str, Any]]], None, None]: - """ - Agent conversation implementation logic (abstract method). - - Subclasses must implement this method to define the concrete conversation behavior. - - Args: - history: Conversation history - query: User query - sketch_pad_summary: SketchPad summary - - Returns: - Generator yielding (response_chunk, updated_history) - """ - pass - - @abstractmethod - def run( - self, query: Any, raw_user_content: Any = None - ) -> AsyncGenerator[Any, None]: - """ - Run the agent to process the user query (abstract method). - - Args: - query: User query - raw_user_content: Raw user message content (optional), used for persisting multimodal messages - - Returns: - AsyncGenerator yielding response chunks - """ - pass - - # Common helper methods. - def get_sketch_pad_summary(self) -> str: - """Get SketchPad summary information, including all keys and truncated values.""" - try: - sketch_pad = get_current_sketch_pad() - if sketch_pad is None: - return "SketchPad unavailable: no active conversation context" - - # Get detailed information for all items (including values). - all_items = sketch_pad.list_items(include_value=True) - - if not all_items: - return "SketchPad is empty: no stored content" - - summary_lines = [f"Current SketchPad state ({len(all_items)} items total):"] - - for item in all_items[:20]: # Limit display to the first 20 items. - key = item.key - tags = ", ".join(item.tags) if item.tags else "no tags" - timestamp = item.timestamp - content_type = item.content_type - - # Use the value included in the list item for preview. - value_obj = item.value - value_str = str(value_obj) if value_obj is not None else "" - if len(value_str) > 100: - value_preview = value_str[:100] + "..." - else: - value_preview = value_str - - value_preview = value_preview.replace("\n", "\\n") - - summary_lines.append( - f" - {key}: [{content_type}] {value_preview} " - f"(tags: {tags}, time: {timestamp[:19]})" - ) - - if len(all_items) > 20: - summary_lines.append(f" ... {len(all_items) - 20} more items not shown") - - return "\n".join(summary_lines) - - except Exception as e: - return f"Error while retrieving SketchPad summary: {str(e)}" - - # Convenience methods for context management. - def get_conversation_history(self, limit: Optional[int] = None): - """Get the conversation history for the current session.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - return context.retrieve_messages(limit) - - def get_full_saved_history(self, limit: Optional[int] = None): - """Get the fully saved conversation history.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - return context.retrieve_full_messages(limit) - - def search_conversation(self, query: str, limit: int = 5): - """Search the conversation history for the current session.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - # Use a simple search implementation. - return context.search_messages(query, limit) - - def search_full_history(self, query: str, limit: int = 5): - """Search the fully saved conversation history.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - return context.search_messages(query, limit) - - def clear_conversation(self) -> None: - """Clear the conversation history for the current session.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - context.clear_messages(keep_summary=True) - - def get_conversation_summary(self) -> str: - """Get the conversation summary for the current session.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - return context.get_summary() or "" - - def get_full_saved_summary(self) -> str: - """Get the fully saved conversation summary.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - return context.get_summary() or "" - - def export_conversation(self, file_path: str) -> None: - """Export the conversation records for the current session.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - data = context.serialize() - dir_path = os.path.dirname(file_path) - if dir_path: - os.makedirs(dir_path, exist_ok=True) - with open(file_path, "w", encoding="utf-8") as f: - json.dump(data, f, ensure_ascii=False, indent=2) - - def import_conversation(self, file_path: str, merge: bool = False) -> None: - """Import conversation records.""" - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - with open(file_path, "r", encoding="utf-8") as f: - data = json.load(f) - if not merge: - # Clear existing messages while preserving the summary. - context.clear_messages(keep_summary=True) - context.deserialize(data) - - # Convenience methods for SketchPad management. - async def store_in_sketch_pad( - self, - value, - key: Optional[str] = None, - tags: Optional[List[str]] = None, - ttl: Optional[int] = None, - ) -> str: - """Store data in SketchPad.""" - sketch_pad = get_current_sketch_pad() - if sketch_pad is None: - raise RuntimeError("No active conversation context") - # Generate a key name if one is not provided. - item_key = key or f"item_{uuid.uuid4().hex[:8]}" - # Convert tags to a set. - tags_set = set(tags) if tags else None - await sketch_pad.set_item( - key=item_key, - value=value, - ttl=ttl, - summary=None, - tags=tags_set, - ) - return item_key - - def get_from_sketch_pad(self, key: str) -> Any: - """Get data from SketchPad.""" - sketch_pad = get_current_sketch_pad() - if sketch_pad is None: - raise RuntimeError("No active conversation context") - return sketch_pad.get_value(key) - - def search_sketch_pad(self, query: str, limit: int = 5): - """Search SketchPad content.""" - sketch_pad = get_current_sketch_pad() - if sketch_pad is None: - raise RuntimeError("No active conversation context") - return sketch_pad.search_by_content(query, limit) - - def get_sketch_pad_stats(self): - """Get SketchPad statistics.""" - sketch_pad = get_current_sketch_pad() - if sketch_pad is None: - raise RuntimeError("No active conversation context") - return sketch_pad.get_statistics() - - def clear_sketch_pad(self): - """Clear SketchPad.""" - sketch_pad = get_current_sketch_pad() - if sketch_pad is None: - raise RuntimeError("No active conversation context") - sketch_pad.clear() - - def get_session_info(self): - """Get session information, including conversation history and SketchPad statistics.""" - try: - conversation_count = len(self.get_conversation_history()) - sketch_pad_stats = self.get_sketch_pad_stats() - conversation_summary = self.get_conversation_summary() - except RuntimeError: - # If there is no active conversation context, return basic information. - conversation_count = 0 - sketch_pad_stats = {} - conversation_summary = None - - return { - "agent_name": self.name, - "model_name": self.model_name, - "agent_class": self.__class__.__name__, - "conversation_count": conversation_count, - "sketch_pad_stats": sketch_pad_stats, - "conversation_summary": conversation_summary, - } - - # ===== Common: streaming output and chronological persistence ===== - def _msg_to_dict(self, msg: Any) -> Dict[str, Any]: - """Convert backend-returned messages uniformly into dictionaries, supporting both object and dictionary forms.""" - if isinstance(msg, dict): - return msg - return { - "role": getattr(msg, "role", None), - "content": getattr(msg, "content", None), - "tool_calls": getattr(msg, "tool_calls", None), - "tool_call_id": getattr(msg, "tool_call_id", None), - } - - async def _stream_and_persist( - self, response_packages: AsyncGenerator[Any, None] - ) -> AsyncGenerator[Any, None]: - """ - Unified streaming processing and history persistence logic: - - Continuously accumulate assistant text; when encountering tooluse/tool results, persist the accumulated text first, then write the tool message. - - Ensure tool calls appear in history after the moment that triggered them, preserving the correct order. - """ - context = get_current_context() - if context is None: - raise RuntimeError("No active conversation context") - - assistant_buffer: str = "" - baseline_len: Optional[int] = None - - async for output in response_packages: - yield output - - if not is_response_yield(output): - continue - - current_messages = output.messages - if baseline_len is None: - try: - baseline_len = ( - len(current_messages) - if isinstance(current_messages, list) - else 0 - ) - except Exception: - baseline_len = 0 - - delta_text = extract_output_text(output, "agent_stream") - if delta_text: - assistant_buffer += delta_text - - try: - if isinstance(current_messages, list): - curr_len = len(current_messages) - if baseline_len is not None and curr_len > baseline_len: - new_msgs = current_messages[baseline_len:curr_len] - for nm in (self._msg_to_dict(x) for x in new_msgs): - role = nm.get("role") - content = nm.get("content") - tool_calls = nm.get("tool_calls") - tool_call_id = nm.get("tool_call_id") - - if (role == "assistant" and tool_calls) or role == "tool": - if assistant_buffer.strip(): - await context.store_message( - Message( - role="assistant", content=assistant_buffer - ) - ) - assistant_buffer = "" - - if role == "assistant" and tool_calls: - await context.store_message( - Message( - role="assistant", - content=None, - tool_calls=tool_calls, - ) - ) - elif role == "tool": - await context.store_message( - Message( - role="tool", - content=content, - tool_call_id=tool_call_id, - ) - ) - baseline_len = curr_len - except Exception: - pass - - # At the end of the stream, write the remaining assistant text. - if assistant_buffer.strip(): - await context.store_message( - Message(role="assistant", content=assistant_buffer) - ) diff --git a/CADDesigner-Code/agent/CADAgent.py b/CADDesigner-Code/agent/CADAgent.py deleted file mode 100644 index 8c752a8..0000000 --- a/CADDesigner-Code/agent/CADAgent.py +++ /dev/null @@ -1,345 +0,0 @@ -from typing import Dict, List, Generator, Tuple, AsyncGenerator, override, Any -from .BaseAgent import BaseAgent -from context.conversation_manager import get_current_context -from SimpleLLMFunc.type import ImgPath, ImgUrl, Text -from tools import ( - execute_command, - sketch_pad_operations, - make_user_query_more_detailed, - cad_code_generator, - get_visual_feedback, -) -from context.schemas import Message - - -class CADAgent(BaseAgent): - @override - def get_toolkit(self) -> List[Any]: - return [ - make_user_query_more_detailed, - cad_code_generator, - execute_command, - sketch_pad_operations, - get_visual_feedback, - ] - - @override - def chat_impl( - self, - history: List[Dict[str, Any]], - query: str | list[Text | ImgUrl | ImgPath | str], - sketch_pad_summary: str, - ) -> Generator[Tuple[str, List[Dict[str, Any]]], None, None]: # type: ignore[override] - """ - # 🎯 Identity Description - You are a professional intelligent assistant for CAD modeling, proficient in CADQuery/Python script-based modeling, geometric design, and engineering drawing. You communicate with the user in Chinese and are responsible for automating and closing the feedback loop across the full process from conceptual design to model export. - - Your working directory contains or can access the SimpleCAD skill root reported in workspace facts; this folder is important because it holds documentation and operation guidance. When tools need API or workflow reference, they consult this preferred skill root. - - --- - - # 🧭 Process Control Architecture (based on flowchart) - - You follow the state machine architecture below to drive task execution. All state decisions and transitions are made autonomously by you. - - ## [State Nodes] - - 1. **Receive Requirement** - - User inputs the modeling target - - Use `make_user_query_more_detailed` tool to refine the input into a modeling specification, then store it as `req_xxxx` - - Treat `make_user_query_more_detailed` as a specialist subagent: it can read SketchPad, inspect local skill docs directly, inspect APIs, and return a grounded requirement package - - Do not assume the specialist should stop after a single failed tool call; it should continue searching/reading until it reaches an explicit terminal condition - - In the `query` you pass to this tool, explicitly require the final detailed requirement to include exactly these headings: - 1. `## API Reference` - 2. `## Refined User Requirements` - 3. `## Parameter Table` - 4. `## Modeling Process` - 5. `## Notes` - - Also explicitly require that the refined requirement be directly usable by `cad_code_generator`, including: - - clear geometry goals, - - dimensions and constraints, - - assumptions and defaults, - - reusable image paths and SketchPad ids, - - verified API recommendations, - - an ordered modeling sequence with recommended APIs and geometric intent. - - Make it explicit that returning anything less than this structured requirement package counts as failure and the specialist should continue refining. - - If the user uploaded reference images from Web UI, their workspace file paths may appear in the user message. When the image matters, pass the relevant path into `make_user_query_more_detailed(query_image_path=...)`. - - Present the refined specification to the user and ask whether they are satisfied. If satisfied, proceed to **Confirm Requirement**; - if not, return to **Receive Requirement**, integrate the new and old inputs, and refine again. - - 2. **Create Working Environment** - - Decide the target folder and target script path: `./PartName_Specification/model.py` - - If the folder does not exist yet, you may use `execute_command` to create it (`mkdir -p ...`) - - Then proceed to **Generate Code** - - 3. **Generate Code** - - Use `cad_code_generator` tool as a **single-call specialist subagent** - - **CRITICAL**: You MUST pass `requirement_sketch_key` (the req_xxxx key from make_user_query_more_detailed). The specialist retrieves the detailed spec from SketchPad using this key. - - Pass `task`, `target_file_path`, and `requirement_sketch_key` - - `task` MUST explicitly include three parts: (1) mission, (2) context, (3) termination condition - - Mission must clearly state: "Generate a SimpleCADAPI Python script to `target_file_path`" - - Context must clearly state: user intent + `requirement_sketch_key` (which SketchPad key to read) + current failure/feedback (if any) - - Termination condition must clearly state: "Run the script and export both STL and STEP/STP successfully; otherwise continue debugging" - - Put all context into `task`: full user intent, create/modify type, modification target, traceback/visual feedback, success criteria - - In `task`, explicitly instruct the specialist to validate and keep debugging until the script successfully exports the model files (normally STL and STEP/STP) - - If API references are needed, tell the specialist to consult the preferred skill root's `references` directory briefly, then continue coding/debugging - - In `task`, focus on objective/context/termination only; do not provide long workflow instructions - - Do not assume the specialist should stop after one failed tool call or one failed patch; the intended behavior is to continue retrying until the explicit terminal condition is reached - - Make it explicit that returning analysis without actually writing `target_file_path` counts as failure - - The tool should be used when you need code creation, code modification, or self-contained code repair for the CAD script - - Use this compact task template when calling `cad_code_generator`: - `Mission: Generate a SimpleCADAPI script to . Context: read SketchPad key ; user intent is ; failure context is . Done only when the script has been executed and both .stl and .step/.stp are exported successfully.` - - 4. **Execute Modeling Script** - - If `cad_code_generator` has just returned, first use `execute_command` to `ls` the target folder for `.stl` and `.step`/`.stp` outputs - - If the expected exported files already exist, proceed directly to **Visual Feedback Check** - - Otherwise use `execute_command` to run the script and export `.step`, `.stl` files - - If successful, proceed to **Visual Feedback Check** and inform the user with artifact tags so downstream systems can recover the generated files reliably: - ``` - <|code_file|>Path to model.py - <|output_file|>Path to .stl file - <|output_file|>Path to .step or .stp file - ``` - At minimum, always include the final `model.py` path with `<|code_file|>` and the final `.stl` path with `<|output_file|>`. - Example: - `<|code_file|>./Screwdriver_Slotted/model.py` - `<|output_file|>./Screwdriver_Slotted/Screwdriver.stl` - `<|output_file|>./Screwdriver_Slotted/Screwdriver.step` - - If execution fails or the model is not exported, enter Debug Phase (Traceback) - - 5. **Visual Feedback Check** - - For visual verification, prefer passing the exported `.step`/`.stp` file into `get_visual_feedback`; use `.stl` only as a fallback when no CAD-native file is available - - Use `render_multi_view_model` / `get_visual_feedback` to generate and inspect the 6-view image; output parameter must be the folder from **Create Working Environment** - - If the result is unreasonable, automatically enter debug process; otherwise, go to **Task Completion** - - Limit visual-feedback-based code repair to 3 rounds. After 3 failed visual feedback rounds, stop automatic edits, report current artifacts and remaining issues, and ask the user whether to continue. - - 6. **Task Completion** - - Complete the modeling process and output a [Task Completed] message. - - Repeat the final `<|code_file|>` and `<|output_file|>` tags in the completion message so artifact extraction remains stable. - - --- - - ## [Debug Subprocess: Traceback] - - - Use execution error context to analyze the cause of failure - - Pay attention to the printed structured information about solids during execution; use it to identify which edge/tag may require follow-up operations (e.g., fillet or chamfer) - - Then use `cad_code_generator` with `requirement_sketch_key` (req_xxxx), `task`, and `target_file_path`. - - **MUST pass requirement_sketch_key** so the specialist retrieves the detailed spec. **Always provide the full modeling goal every time you invoke it** - - Prefer to send traceback / visual feedback / current intent back into `cad_code_generator` so the specialist subagent can repair the file itself - - Debug responsibility is primarily on `cad_code_generator`; only handle debugging outside it when strictly necessary for workflow orchestration - - When calling `cad_code_generator`, the `task` must clearly say whether it is a **modify-existing-code** task or a **create-new-file** task - - In every debug call, `task` must still keep the same three-part structure: mission, context (`requirement_sketch_key` and latest failure), and termination condition (script executed and both STL + STEP/STP exported) - - Pass enough context in `task` every time: full user intent, current target file path, what changed, what failed, and what success should look like - - Also make `task` explicitly require validation and debugging until STL and STEP/STP export succeeds; a clean script run without exported models is **not** enough - - If the specialist needs API docs, point it to the preferred skill root's `references` directory - - Assume the specialist runs under the workspace root, so all paths in `task` should be workspace-relative or absolute and should not reference repo-only helper paths - - When you regain control after `cad_code_generator`, prefer `ls` export checks before rerunning the script; rerun only when outputs are missing or a fresh traceback is needed - - Return to Step 4 **Execute Modeling Script** to retry after applying necessary fixes (feedback, traceback, etc.), until model export and render are successful; however, visual-feedback-based repair must stop after 3 rounds and wait for user confirmation. - - --- - - # 🧰 Tool Usage Guide (Summary) - - | Tool Name | Purpose | - |-----------|---------| - | `make_user_query_more_detailed` | Specialist subagent for refining vague requirements into a grounded modeling spec; may inspect docs/APIs/SketchPad before saving `req_xxxx` | - | `cad_code_generator` | Generate or modify SimpleCADAPI code based on requirement and write directly to target file | - | `execute_command` | Execute Python scripts or shell commands | - | `sketch_pad_operations` | Perform `store/retrieve/search/delete/list/search_tags/search/clear/stats` on SketchPad | - | `get_visual_feedback` | Given the requirement, code, and model path, return targeted visual feedback and modification suggestions. Prefer STEP/STP as `model_path` when available | - - Notes on `cad_code_generator`: - - Treat it as a specialist coding subagent, not as a dumb text generator. - - **MUST pass requirement_sketch_key** (req_xxxx from make_user_query_more_detailed). The specialist uses it to retrieve the detailed spec. - - Pass `task`, `target_file_path`, and `requirement_sketch_key`. - - Your responsibility is to pack the right context into `task` and always provide the requirement key. - - Its responsibility is to create/repair `model.py` until validation passes and the model export succeeds, or it can clearly explain what extra context is still missing. - - --- - - # 📂 File Organization Requirements - - - Folder structure: `./PartType_Parameters/` - - Script filename: `model.py` - - Execute via: `cd ./PartType_Parameters && uv run python model.py` to ensure outputs reside in the same folder - - Export check via: `cd ./PartType_Parameters && ls *.stl && (ls *.step || ls *.stp)` - - Output file names: `PartName.step`, `PartName.stl` - - Render image name: `PartName_multi_view_render.png` - - All files must be in the same folder - - When you know the generated script path, include `<|code_file|>...` in an assistant message using a workspace-relative path when possible - - When you know generated model artifact paths, include `<|output_file|>...` for each key artifact you want surfaced; this must include the final `.stl`, and should include the final `.step`/`.stp` when available - - --- - - # 🧠 Intelligent Behavior Constraints - - - Only store data in SketchPad when it is truly needed for cross-step context; do not save generated code into SketchPad by default - - After a failure, return to the corresponding state and attempt to fix it - - Do not proceed past user confirmation in any phase - - If the task is too complex, proactively suggest requirement decomposition - - --- - - # 💡 Important Notes - - - Always call `sketch_pad_operations: clear` before starting each task to reset the environment - - Do not generate code or write files without user confirmation - - Visual verification stage is mandatory; must use `get_visual_feedback` and rigorously follow suggestions - - Visual-feedback-based automatic repair is capped at 3 rounds per task; execution/export failures may be retried more, but repeated visual mismatches require user confirmation after the cap. - - When both STL and STEP/STP exist, visual feedback should use the STEP/STP file because it renders CAD geometry more faithfully - - Once user confirms satisfaction, summarize the modeling process and declare "This modeling task is completed, code archived". - - Clearly indicate the **current state node**, and state clearly what will be done next at the end of each state - - Tool calls must be clearly announced before use with appropriate emoji - - Example Response: - ### Entering [Receive Requirement] State - - - We will use the `make_user_query_more_detailed` tool to convert vague input into a structured modeling spec. - - I now know the detailed modeling spec is saved in SketchPad under key: xxxxxx - - ### Entering [Confirm Requirement] State - - - Next, I will use the `sketch_pad_operations` tool to retrieve and display the spec for your confirmation. - - #### Modeling Requirement: - - xxxxxxxx - - Does this description match your expectations? Would you like any changes? If confirmed, we will proceed to [Create Working Environment]; otherwise, we will iterate again until you are satisfied. - - - Always use a line break for state entry descriptions and mark the current state with `###` headings. - - Use proper emoji for tool invocation. - - When using file operation tools to debug, ensure correct indentation. Read context before writing. - - If reusing `cad_code_generator`, always provide full user intent + API reference + current code. - - Always converse with user in English. - """ - return # type: ignore[return-value] - - async def run( - self, query: Any, raw_user_content: Any = None - ) -> AsyncGenerator[Any, None]: # type: ignore[override] - """Run the agent with the given query. - - Args: - query (str): The query to process. - - Returns: - Generator[str, None, None]: The response chunks from the agent. - """ - if not query: - raise ValueError("Query must not be empty") - - # Get the SketchPad keys and truncated value contents. - sketch_pad_summary = self.get_sketch_pad_summary() - - import re - - raw_query = raw_user_content if raw_user_content is not None else query - - def _normalize_query_for_chat(content: Any) -> Any: - if isinstance(content, str): - query_image_match = re.search(r"(.*?)", content) - if query_image_match: - query_image = query_image_match.group(1) - text_query = re.sub(r".*?", "", content).strip() - try: - return ( - [Text(text_query), ImgPath(query_image)] - if text_query - else [ImgPath(query_image)] - ) - except Exception: - if text_query: - return ( - text_query - + f" (Attached image: the image file path is {query_image}. You can pass this path to `make_user_query_more_detailed` or later to the `get_visual_feedback` tool to obtain more information.)" - ) - return re.sub(r".*?", "", content).strip() - - if isinstance(content, list): - normalized_parts: list[Text | ImgUrl | ImgPath] = [] - for item in content: - if isinstance(item, Text): - normalized_parts.append(item) - continue - if isinstance(item, ImgUrl): - normalized_parts.append(item) - continue - if isinstance(item, ImgPath): - normalized_parts.append(item) - continue - if isinstance(item, str): - if item.strip(): - normalized_parts.append(Text(item)) - continue - - item_type = getattr(item, "type", None) or ( - item.get("type") if isinstance(item, dict) else None - ) - if item_type == "text": - text_value = getattr(item, "text", None) or ( - item.get("text") if isinstance(item, dict) else None - ) - if isinstance(text_value, str) and text_value.strip(): - normalized_parts.append(Text(text_value)) - elif item_type == "image_url": - image_payload = getattr(item, "image_url", None) or ( - item.get("image_url") if isinstance(item, dict) else None - ) - if isinstance(image_payload, dict) and isinstance( - image_payload.get("url"), str - ): - detail = image_payload.get("detail") - if not isinstance(detail, str): - detail = "auto" - normalized_parts.append( - ImgUrl(image_payload["url"], detail=detail) - ) - - if len(normalized_parts) == 1 and isinstance(normalized_parts[0], Text): - return str(normalized_parts[0]) - return normalized_parts - - return str(content) - - chat_query = _normalize_query_for_chat(query) - - # Get the current conversation context. - current_context = get_current_context() - if current_context is None: - raise RuntimeError("No active conversation context") - - def _normalize_message_content_for_history(content: Any) -> Any: - if isinstance(content, str) or content is None: - return content or "" - if isinstance(content, list): - normalized_items: List[Dict[str, Any]] = [] - for item in content: - if isinstance(item, dict): - normalized_items.append(item) - elif hasattr(item, "model_dump"): - normalized_items.append(item.model_dump()) - return normalized_items - return str(content) - - history_messages = current_context.retrieve_messages() - history: List[Dict[str, Any]] = [] - for m in history_messages: - if m.role in ("user", "assistant"): - history.append( - { - "role": m.role, - "content": _normalize_message_content_for_history(m.content), - } - ) - - # Before starting the conversation, store the current user message in the context. - await current_context.store_message(Message(role="user", content=raw_query)) - - # Call the LLM in raw streaming mode. - response_packages = self.chat(history, chat_query, sketch_pad_summary) - - # Reuse the base class streaming processing and history persistence logic. - async for raw in self._stream_and_persist(response_packages): - yield raw diff --git a/CADDesigner-Code/agent/__init__.py b/CADDesigner-Code/agent/__init__.py deleted file mode 100644 index 523edfa..0000000 --- a/CADDesigner-Code/agent/__init__.py +++ /dev/null @@ -1,25 +0,0 @@ -from .BaseAgent import BaseAgent -from .AgentRegister import ( - AgentRegistry, - get_agent_registry, - register_agent, - get_agent, - list_available_models -) - - -from .CADAgent import CADAgent - - -__all__ = [ - 'BaseAgent', - 'AgentRegistry', - 'get_agent_registry', - 'register_agent', - 'get_agent', - 'list_available_models', -] - - -# Register CADAgent. -register_agent("cadagent", CADAgent) diff --git a/CADDesigner-Code/assets/framework.png b/CADDesigner-Code/assets/framework.png deleted file mode 100644 index 98750e50a52489c54cffb52aab7ee0e59ad9696f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 232180 zcmcG#bx_+;7bc7pC|=y5xI=M=wzwB)ad&rjihFT_mg2?T-MtXBxCRgI@&)?7JKxUE z&h9^ZXBcLZ{BqAdexCaz{ELDlDiR?Q6ciMyw3L`K6x5p&C@7fZxA2fx2HMShA^#BV zr8JzNptL1k{-CiFML$77y@!$(`}Ea4<8ax{`Kvh5z^R=p5X6yqCeqbE8KJd*8;h_x@XR5UvzBof%9fE#?2w(=}ifl#!8e$b3F} 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zg)Y)8rR#S&?1_jwPoYX?f$btakJ;}KfU%;UE%D~gox5tJjAiYlSc^2vj^Iz98(Idb zkyGU`A@t<8)@|p}0wqe(lZCr~-MMtQH$y=% z9U)+SS?!HCpKBBx5b*Jj28 zV2kBDLmzV`E4op~+^FF}t str: - """Resolve runtime output paths into the project workspace.""" - - path = Path(path_value).expanduser() - if path.is_absolute(): - return str(path) - - parts = path.parts - if parts and parts[0] == "workspace": - return str((PROJECT_ROOT / path).resolve()) - return str((PROJECT_ROOT / "workspace" / path).resolve()) - - -def _normalize_runtime_path_env() -> None: - """Keep runtime data, sketch, and log directories out of the repository root.""" - - for env_name, default_relative_path in _RUNTIME_PATH_DEFAULTS.items(): - raw_value = os.getenv(env_name) - os.environ[env_name] = _workspace_runtime_path( - raw_value if raw_value else default_relative_path - ) - - -def load_project_env() -> None: - """Load the project .env before importing libraries that snapshot env at import time.""" - - load_dotenv(PROJECT_ENV_FILE, override=False) - _normalize_runtime_path_env() - - -load_project_env() - - -__all__ = ["load_project_env", "PROJECT_ROOT", "PROJECT_ENV_FILE"] diff --git a/CADDesigner-Code/config/__init__.py b/CADDesigner-Code/config/__init__.py deleted file mode 100644 index 4e1cf6b..0000000 --- a/CADDesigner-Code/config/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from config.config import get_config - -__all__ = [ - "get_config", -] \ No newline at end of file diff --git a/CADDesigner-Code/config/config.py b/CADDesigner-Code/config/config.py deleted file mode 100644 index 90ff5f4..0000000 --- a/CADDesigner-Code/config/config.py +++ /dev/null @@ -1,53 +0,0 @@ -from bootstrap_env import load_project_env - -load_project_env() - -from SimpleLLMFunc import OpenAICompatible -from functools import lru_cache -import os -from typing import Optional -from dotenv import load_dotenv - -# Load the .env file under the working directory. -load_dotenv() - - -current_file_dir = ( - __file__.rsplit("/", 1)[0] if "/" in __file__ else __file__.rsplit("\\", 1)[0] -) - - -class Config: - JSON_FILE = current_file_dir + "/provider.json" - INTERFACE_COLLECTION = OpenAICompatible.load_from_json_file(JSON_FILE) - - BASIC_INTERFACE = INTERFACE_COLLECTION["openrouter"]["anthropic/claude-sonnet-4.6"] - CODE_INTERFACE = INTERFACE_COLLECTION["openrouter"]["google/gemini-3.1-pro-preview"] - REASONING_INTERFACE = INTERFACE_COLLECTION["openrouter"]["anthropic/claude-sonnet-4.6"] - QUICK_INTERFACE = INTERFACE_COLLECTION["openrouter"]["google/gemini-3-flash-preview"] - MULTIMODALITY_INTERFACE = INTERFACE_COLLECTION["openrouter"]["google/gemini-3-flash-preview"] - CONTEXT_SUMMARY_INTERFACE = INTERFACE_COLLECTION["openrouter"]["google/gemini-3-flash-preview"] - - # ==================== Context & Sketch configuration parameters ==================== - - # redis url - REDIS_DB: int = int(os.getenv("REDIS_DB", 0)) - REDIS_PASSWORD: Optional[str] = os.getenv("REDIS_PASSWORD", None) - REDIS_HOST: str = os.getenv("REDIS_HOST", "localhost") - REDIS_PORT: int = int(os.getenv("REDIS_PORT", 9736)) - - # Context storage directory configuration. - CONTEXT_DIR: str = os.getenv("CONTEXT_DIR", "workspace/data/contexts") - CONTEXT_MAX_HISTORY_LENGTH: int = int(os.getenv("CONTEXT_MAX_HISTORY_LENGTH", 10)) - CONTEXT_AUTO_SUMMARIZE_TRIGGER: int = int( - os.getenv("CONTEXT_AUTO_SUMMARIZE_TRIGGER", 1000000) - ) - - # SketchPad storage directory configuration. - SKETCH_DIR: str = os.getenv("SKETCH_DIR", "workspace/data/sketches") - - -@lru_cache() -def get_config() -> Config: - """Get the configuration instance.""" - return Config() diff --git a/CADDesigner-Code/config/provider_template.json b/CADDesigner-Code/config/provider_template.json deleted file mode 100644 index dcb80d3..0000000 --- a/CADDesigner-Code/config/provider_template.json +++ /dev/null @@ -1,52 +0,0 @@ -{ - "volc_engine": [ - { - "model_name": "deepseek-v3-250324", - "api_keys": [ - "your_keys" - ], - "base_url": "https://ark.cn-beijing.volces.com/api/v3/", - "max_retries": 3, - "retry_delay": 1 - }, - { - "model_name": "doubao-1-5-pro-32k-250115", - "api_keys": [ - "your_keys" - ], - "base_url": "https://ark.cn-beijing.volces.com/api/v3/", - "max_retries": 3, - "retry_delay": 1 - } - ], - "openrouter": [ - { - "model_name": "z-ai/glm-5", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "google/gemini-3.1-pro-preview", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "anthropic/claude-sonnet-4.6", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "google/gemini-3-flash-preview", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - } - ] -} diff --git a/CADDesigner-Code/context/__init__.py b/CADDesigner-Code/context/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/CADDesigner-Code/context/context.py b/CADDesigner-Code/context/context.py deleted file mode 100644 index 84eff71..0000000 --- a/CADDesigner-Code/context/context.py +++ /dev/null @@ -1,634 +0,0 @@ -from typing import Dict, List, Optional, Any, Union, override -from SimpleLLMFunc import async_llm_function, OpenAICompatible -import json -import os -import redis -import threading -from datetime import datetime -from abc import ABC, abstractmethod -from context.schemas import Message, ChatMessages - - -class ContextBackend(ABC): - """ - ContextBackend is the backend interface for context storage, defining the interfaces used by backend implementations. - - Main responsibilities: - 1. Define core interfaces for storage, querying, serialization, and persistence - 2. Provide a unified abstraction layer that supports different storage implementations - 3. Manage core data such as conversation history, summaries, and metadata - """ - - @abstractmethod - def __init__( - self, - context_id: str, - llm_interface: Optional[OpenAICompatible] = None, - max_history_length: int = 5, - auto_summarize_trigger: int = 1000000, - file_path: Optional[str] = None, - ): - """ - Initialize the context backend. - - Args: - context_id: Unique context identifier - llm_interface: LLM interface used for history summarization - max_history_length: Maximum history record length - auto_summarize_trigger: Automatic summary trigger threshold - file_path: File persistence path (optional) - """ - pass - - # ===== Core storage interface ===== - - @abstractmethod - async def store_message(self, message: Message) -> None: - """Store one message.""" - pass - - @abstractmethod - def retrieve_messages(self, limit: Optional[int] = None) -> List[Message]: - """Retrieve message history.""" - pass - - @abstractmethod - def retrieve_full_messages(self, limit: Optional[int] = None) -> List[Message]: - """Retrieve the complete persisted message history.""" - pass - - @abstractmethod - def update_summary(self, summary: str) -> None: - """Update the conversation summary.""" - pass - - @abstractmethod - def get_summary(self) -> Optional[str]: - """Get the conversation summary.""" - pass - - @abstractmethod - def update_metadata(self, metadata: Dict[str, Any]) -> None: - """Update metadata.""" - pass - - @abstractmethod - def get_metadata(self) -> Dict[str, Any]: - """Get metadata.""" - pass - - # ===== Query interface ===== - - @abstractmethod - def search_messages(self, query: str, limit: int = 5) -> List[Message]: - """Search messages.""" - pass - - @abstractmethod - def get_message_count(self) -> int: - """Get the message count.""" - pass - - @abstractmethod - def get_total_message_count(self) -> int: - """Get the message count in the complete persisted history.""" - pass - - @abstractmethod - def clear_messages(self, keep_summary: bool = True) -> None: - """Clear message history.""" - pass - - # ===== Serialization interface ===== - - @abstractmethod - def serialize(self) -> Dict[str, Any]: - """Serialize to a dictionary.""" - pass - - @abstractmethod - def deserialize(self, data: Dict[str, Any]) -> None: - """Deserialize from a dictionary.""" - pass - - # ===== Persistence interface ===== - - @abstractmethod - async def persist(self) -> bool: - """Persist to storage.""" - pass - - @abstractmethod - async def restore(self) -> bool: - """Restore from storage.""" - pass - - # ===== Advanced feature interface ===== - - @abstractmethod - async def auto_summarize(self) -> str: - """Automatically summarize history records.""" - pass - - @abstractmethod - def get_context_for_llm(self) -> str: - """Get a context string suitable for the LLM.""" - pass - - -class RedisFileContextBackend(ContextBackend): - """ - ## RedisFileContextBackend combines immediate Redis storage with file-system persistence for context backend implementation. - - Features: - 1. Redis provides high-performance immediate access - 2. The file system provides reliable persistence - 3. Supports automatic synchronization and recovery - 4. Uses Redis AOF + RDB mechanisms - """ - - @override - def __init__( - self, - context_id: str, - llm_interface: Optional[OpenAICompatible] = None, - max_history_length: int = 5, - auto_summarize_trigger: int = 1000000, - redis_host: str = "localhost", - redis_port: int = 6379, - redis_db: int = 0, - file_path: Optional[str] = None, - ): - """ - Initialize the Redis file backend. - - Args: - context_id: Unique context identifier - llm_interface: LLM interface used for history summarization - max_history_length: Maximum history record length - auto_summarize_trigger: Automatic summary trigger threshold - redis_host: Redis host address - redis_port: Redis port - redis_db: Redis database number - file_path: File persistence path - """ - self.context_id = context_id - self.llm_interface = llm_interface - self.max_history_length = max_history_length - self.auto_summarize_trigger = auto_summarize_trigger - self.file_path = file_path or f"contexts/ctx_{context_id}.json" - - # Redis connection. - self.redis_client = redis.Redis( - host=redis_host, port=redis_port, db=redis_db, decode_responses=True - ) - - # Thread lock. - self._lock = threading.RLock() - - # Initialize the history summarization function. - self._summarize_func = None - if self.llm_interface: - self._summarize_func = async_llm_function( - llm_interface=self.llm_interface, - toolkit=[], - timeout=600, - )(self._summarize_history_impl) - - # Initialize metadata. - self._init_metadata() - - # Try to restore data from storage. - self._restore_from_storage() - - def _init_metadata(self) -> None: - """Initialize metadata.""" - self._metadata = { - "context_id": self.context_id, - "session_id": self.context_id, - "start_time": datetime.now().isoformat(), - "last_activity": datetime.now().isoformat(), - "total_messages": 0, - "max_history_length": self.max_history_length, - "auto_summarize_trigger": self.auto_summarize_trigger, - } - - def _normalize_metadata(self) -> None: - """Normalize session metadata to ensure conversation and tracing session alignment.""" - self._metadata["context_id"] = self.context_id - self._metadata["session_id"] = self.context_id - self._metadata.setdefault("start_time", datetime.now().isoformat()) - self._metadata.setdefault("last_activity", datetime.now().isoformat()) - self._metadata.setdefault("total_messages", 0) - self._metadata.setdefault("max_history_length", self.max_history_length) - self._metadata.setdefault("auto_summarize_trigger", self.auto_summarize_trigger) - - def _generate_session_id(self) -> str: - """Generate a session ID.""" - return f"session_{datetime.now().strftime('%Y%m%d_%H%M%S')}" - - def _get_redis_key(self, key: str) -> str: - """Get the Redis key name.""" - return f"context:{self.context_id}:{key}" - - def _serialize_message(self, message: Message) -> str: - return message.model_dump_json() - - def _append_to_working_messages(self, message: Message) -> None: - messages_key = self._get_redis_key("messages") - self.redis_client.lpush(messages_key, self._serialize_message(message)) - - def _append_to_full_messages(self, message: Message) -> None: - messages_key = self._get_redis_key("full_messages") - self.redis_client.rpush(messages_key, self._serialize_message(message)) - - def _replace_working_messages(self, messages: List[Message]) -> None: - messages_key = self._get_redis_key("messages") - self.redis_client.delete(messages_key) - for message in messages: - self._append_to_working_messages(message) - - def _store_metadata_snapshot(self) -> None: - metadata_key = self._get_redis_key("metadata") - self.redis_client.set(metadata_key, json.dumps(self._metadata)) - - @override - async def store_message(self, message: Message) -> None: - """ - Store one message. - If the number of messages exceeds max_history_length, automatically trigger the summarization strategy and update the conversation records according to that strategy. - Args: - message: Message to store - - Returns: - None - """ - with self._lock: - # Ensure the message has a timestamp. - if message.timestamp is None: - message.timestamp = datetime.now().isoformat() - - # Store into working memory and full history. - self._append_to_working_messages(message) - self._append_to_full_messages(message) - - # Automatic memory management. - await self._auto_memory_manage() - - # Limit history length. - messages_key = self._get_redis_key("messages") - self.redis_client.ltrim(messages_key, 0, self.max_history_length - 1) - - # Update metadata. - current_total = self._metadata.get("total_messages", 0) - if isinstance(current_total, (int, float)): - self._metadata["total_messages"] = int(current_total) + 1 - else: - self._metadata["total_messages"] = 1 - self._metadata["last_activity"] = datetime.now().isoformat() - self._store_metadata_snapshot() - - # Automatic persistence. - await self.persist() - - @override - def retrieve_messages(self, limit: Optional[int] = None) -> List[Message]: - """Retrieve message history.""" - with self._lock: - messages_key = self._get_redis_key("messages") - message_data_list = self.redis_client.lrange(messages_key, 0, -1) - - messages = [] - for message_data in message_data_list: - try: - message_dict = json.loads(message_data) - message = Message(**message_dict) - messages.append(message) - except Exception as e: - print(f"Warning: Failed to deserialize message: {e}") - - # Sort by time, newest first. - messages.reverse() - - if limit is not None: - messages = messages[-limit:] - - return messages - - @override - def retrieve_full_messages(self, limit: Optional[int] = None) -> List[Message]: - """Retrieve the complete persisted message history.""" - with self._lock: - messages_key = self._get_redis_key("full_messages") - message_data_list = self.redis_client.lrange(messages_key, 0, -1) - - messages = [] - for message_data in message_data_list: - try: - message_dict = json.loads(message_data) - message = Message(**message_dict) - messages.append(message) - except Exception as e: - print(f"Warning: Failed to deserialize full history message: {e}") - - if not messages: - messages = self.retrieve_messages() - - if limit is not None: - messages = messages[-limit:] - - return messages - - @override - def update_summary(self, summary: str) -> None: - """Update the conversation summary.""" - with self._lock: - summary_key = self._get_redis_key("summary") - self.redis_client.set(summary_key, summary) - - @override - def get_summary(self) -> Optional[str]: - """Get the conversation summary.""" - with self._lock: - summary_key = self._get_redis_key("summary") - return self.redis_client.get(summary_key) - - @override - def update_metadata(self, metadata: Dict[str, Any]) -> None: - """Update metadata.""" - with self._lock: - self._metadata.update(metadata) - self._store_metadata_snapshot() - - @override - def get_metadata(self) -> Dict[str, Any]: - """Get metadata.""" - with self._lock: - return self._metadata.copy() - - @override - def search_messages(self, query: str, limit: int = 5) -> List[Message]: - """ - Search messages. - - Args: - query: Search keyword - limit: Search result count limit - - Returns: - List[Message]: Search result list - """ - messages = self.retrieve_messages() - results = [] - query_lower = query.lower() - - for message in reversed(messages): - content = message.content - if isinstance(content, str) and query_lower in content.lower(): - results.append(message) - if len(results) >= limit: - break - - return list(reversed(results)) - - @override - def get_message_count(self) -> int: - """Get the message count.""" - with self._lock: - messages_key = self._get_redis_key("messages") - return self.redis_client.llen(messages_key) - - @override - def get_total_message_count(self) -> int: - """Get the message count in the complete persisted history.""" - with self._lock: - messages_key = self._get_redis_key("full_messages") - total = self.redis_client.llen(messages_key) - if total == 0: - return self.get_message_count() - return total - - @override - def clear_messages(self, keep_summary: bool = True) -> None: - """Clear message history.""" - with self._lock: - messages_key = self._get_redis_key("messages") - full_messages_key = self._get_redis_key("full_messages") - self.redis_client.delete(messages_key) - self.redis_client.delete(full_messages_key) - - if not keep_summary: - summary_key = self._get_redis_key("summary") - self.redis_client.delete(summary_key) - - self._metadata["total_messages"] = 0 - self._metadata["last_activity"] = datetime.now().isoformat() - self._store_metadata_snapshot() - - @override - def serialize(self) -> Dict[str, Any]: - """Serialize to a dictionary.""" - with self._lock: - return { - "context_id": self.context_id, - "metadata": self._metadata, - "messages": [msg.model_dump() for msg in self.retrieve_full_messages()], - "working_messages": [ - msg.model_dump() for msg in self.retrieve_messages() - ], - "summary": self.get_summary(), - "serialization_timestamp": datetime.now().isoformat(), - } - - @override - def deserialize(self, data: Dict[str, Any]) -> None: - """Deserialize from a dictionary.""" - with self._lock: - # Restore metadata. - if "metadata" in data: - self._metadata.update(data["metadata"]) - self._normalize_metadata() - - # Restore messages. - full_history_payload = data.get("messages", []) - full_messages: List[Message] = [] - for message_data in full_history_payload: - try: - full_messages.append(Message(**message_data)) - except Exception as e: - print(f"Warning: Failed to deserialize full history message: {e}") - - full_messages_key = self._get_redis_key("full_messages") - self.redis_client.delete(full_messages_key) - for message in full_messages: - self._append_to_full_messages(message) - - working_payload = data.get("working_messages") - working_messages: List[Message] = [] - if isinstance(working_payload, list): - for message_data in working_payload: - try: - working_messages.append(Message(**message_data)) - except Exception as e: - print(f"Warning: Failed to deserialize working message: {e}") - elif full_messages: - working_messages = full_messages[-self.max_history_length :] - - self._replace_working_messages(working_messages) - - # Restore summary. - if "summary" in data and data["summary"]: - self.update_summary(data["summary"]) - - @override - async def persist(self) -> bool: - """Persist to file.""" - try: - # Ensure the directory exists. - dir_path = os.path.dirname(self.file_path) - if dir_path: - os.makedirs(dir_path, exist_ok=True) - - # Serialize data. - data = self.serialize() - - # Write to file. - with open(self.file_path, "w", encoding="utf-8") as f: - json.dump(data, f, ensure_ascii=False, indent=2) - - return True - except Exception as e: - print(f"Warning: Failed to persist context: {e}") - return False - - @override - async def restore(self) -> bool: - """Restore from file.""" - if not os.path.exists(self.file_path): - return False - - try: - with open(self.file_path, "r", encoding="utf-8") as f: - data = json.load(f) - - self.deserialize(data) - return True - except Exception as e: - print(f"Warning: Failed to restore context: {e}") - return False - - def _restore_from_storage(self) -> None: - """Restore data from storage.""" - # Try to restore from Redis. - metadata_key = self._get_redis_key("metadata") - stored_metadata = self.redis_client.get(metadata_key) - if stored_metadata: - try: - self._metadata.update(json.loads(stored_metadata)) - self._normalize_metadata() - except Exception as e: - print(f"Warning: Failed to restore metadata from Redis: {e}") - - # Try to restore from file. - if os.path.exists(self.file_path): - import asyncio - - asyncio.create_task(self.restore()) - - async def _auto_memory_manage(self) -> None: - """Automatic memory management.""" - if ( - self.get_message_count() > self.auto_summarize_trigger - and self.llm_interface - ): - # Create summary. - summary = await self.auto_summarize() - - # Save summary. - current_summary = self.get_summary() - if current_summary: - self.update_summary(f"{current_summary}\n\n{summary}") - else: - self.update_summary(summary) - - # Keep the most recent message. - messages = self.retrieve_messages() - if messages: - self._replace_working_messages([messages[-1]]) - - @override - async def auto_summarize(self) -> str: - """Automatically summarize history records.""" - if self._summarize_func: - messages = self.retrieve_messages() - return await self._summarize_func(messages) - else: - count = self.get_message_count() - return f"The conversation contains {count} messages." - - @override - def get_context_for_llm(self) -> str: - """Get a context string suitable for the LLM.""" - context_parts = [] - - # Add summary. - summary = self.get_summary() - if summary: - context_parts.append(f"Conversation summary:\n{summary}\n") - - # Add recent history records. - messages = self.retrieve_messages() - if messages: - context_parts.append("Recent conversation history:") - for message in messages: - role = message.role - content = message.content - if isinstance(content, str): - context_parts.append(f"{role}: {content}") - - return "\n".join(context_parts) - - @staticmethod - async def _summarize_history_impl(messages: List[Message]) -> str: # type: ignore - """ - Please extract and summarize key information from the following conversation history. Requirements: - - 1. Distill the user's core intent and clearly describe it under the [User Intent] field. - 2. Extract all key parameters, variable names, keys, file names, and similar information that appeared, and list them under the [Key Information] field. Use one item per line and indicate the type, such as file, key, parameter, and so on. - 3. Preserve important operations, decisions, or changes involved in the conversation, and concisely summarize them under the [Conversation Highlights] field. - 4. Output all fields strictly in the following format: - - [User Intent] - ... (briefly describe the user's main requirements and goals) - - [Key Information] - - Type: Name - - Type: Name - ... - - [Conversation Highlights] - - Highlight 1 - - Highlight 2 - - [Files Operated On] - - File 1 - - File 2 - - File 3 - - [Next-Step Plan] - - Plan 1 - - Plan 2 - - Plan 3 - - [Summary] - - Summary 1 - - Summary 2 - - ... - - Ensure the summary is accurate and clearly structured, making it easy for later retrieval and context recovery. - Args: - messages: Message list - Returns: - str: Summarized conversation history - """ diff --git a/CADDesigner-Code/context/context_manager.py b/CADDesigner-Code/context/context_manager.py deleted file mode 100644 index 32c2773..0000000 --- a/CADDesigner-Code/context/context_manager.py +++ /dev/null @@ -1,478 +0,0 @@ -import os -import json -import uuid -import threading -from typing import Dict, Optional, List, Type, Any, Literal, cast -from datetime import datetime -import redis -from SimpleLLMFunc import OpenAICompatible -from context.schemas import Message -from context.context import ContextBackend, RedisFileContextBackend -from config.config import get_config -from SimpleLLMFunc.logger import push_warning, app_log - - -class ContextManager: - """ - General-purpose context manager that supports different backend implementations. - - Main responsibilities: - 1. Manage creation and lifecycle of ContextBackend instances - 2. Provide advanced convenience interfaces - 3. Handle batch operations and cleanup tasks - 4. Support pluggable backend implementations - """ - - _instance = None - _lock: threading.Lock = threading.Lock() - - def __new__(cls, backend_class: Type[ContextBackend] = RedisFileContextBackend): - """Singleton pattern implementation.""" - if cls._instance is None: - with cls._lock: - if cls._instance is None: - cls._instance = super(ContextManager, cls).__new__(cls) - cls._instance.backend_class = backend_class - return cls._instance - - def __init__(self, backend_class: Type[ContextBackend]): - """ - Initialize the context manager. - - Args: - backend_class: Backend implementation class, defaulting to RedisFileBackend - """ - # Prevent duplicate initialization. - if hasattr(self, "_initialized"): - return - - self.backend_class = backend_class - self.config = get_config() - self.context_dir = self.config.CONTEXT_DIR - self._active_contexts: Dict[str, ContextBackend] = {} - - # Ensure the directory exists. - os.makedirs(self.context_dir, exist_ok=True) - - self._initialized = True - - def _redis_client(self) -> redis.Redis: - return redis.Redis( - host=self.config.REDIS_HOST, - port=int(self.config.REDIS_PORT), - db=int(self.config.REDIS_DB), - decode_responses=True, - ) - - def _list_context_ids_from_redis(self) -> set[str]: - context_ids: set[str] = set() - try: - client = self._redis_client() - raw_keys = cast(Any, client.keys("context:*:*")) - for key in cast(List[str], raw_keys): - parts = key.split(":", 2) - if len(parts) >= 3 and parts[0] == "context" and parts[1]: - context_ids.add(parts[1]) - except Exception as e: - print(f"Warning: Failed to list context ids from Redis: {e}") - return context_ids - - def _delete_context_redis_keys(self, context_id: str) -> bool: - try: - client = self._redis_client() - raw_keys = cast(Any, client.keys(f"context:{context_id}:*")) - keys = cast(List[str], raw_keys) - if not keys: - return False - deleted = cast(Any, client.delete(*keys)) - return int(deleted) > 0 - except Exception as e: - print(f"Warning: Failed to delete Redis context keys for {context_id}: {e}") - return False - - def create_context( - self, - context_id: Optional[str] = None, - llm_interface: Optional[ - OpenAICompatible - ] = get_config().CONTEXT_SUMMARY_INTERFACE, - max_history_length: int = get_config().CONTEXT_MAX_HISTORY_LENGTH, - auto_summarize_trigger: int = get_config().CONTEXT_AUTO_SUMMARIZE_TRIGGER, - **backend_kwargs, - ) -> ContextBackend: - """ - Create a new context object. - - Args: - context_id: Context ID; generated automatically if None - llm_interface: LLM interface - max_history_length: Maximum history length - auto_summarize_trigger: Automatic summary trigger threshold - **backend_kwargs: Extra parameters passed to the backend - - Returns: - ContextBackend: Created context object - """ - with self._lock: - if context_id is None: - context_id = str(uuid.uuid4()) - - # Check whether it already exists. - if context_id in self._active_contexts: - app_log( - f"Context {context_id} already exists, and is in active contexts. Returning the existing context." - ) - return self._active_contexts[context_id] - - # Generate the file path if the backend needs one. - if "file_path" not in backend_kwargs: - context_file = os.path.join(self.context_dir, f"ctx_{context_id}.json") - backend_kwargs["file_path"] = context_file - push_warning(f"Context file path: {context_file}") - - # Create the context object. - context = self.backend_class( - context_id=context_id, - llm_interface=llm_interface, - max_history_length=max_history_length, - auto_summarize_trigger=auto_summarize_trigger, - **backend_kwargs, - ) - - # Add it to the active context list. - self._active_contexts[context_id] = context - - return context - - def get_context(self, context_id: str) -> Optional[ContextBackend]: - """ - Get the context object with the specified ID. - - Args: - context_id: Context ID - - Returns: - ContextBackend: Context object, or None if it does not exist - """ - with self._lock: - # First check active contexts. - if context_id in self._active_contexts: - return self._active_contexts[context_id] - - # Try to load from file if the backend supports it. - context_file = os.path.join(self.context_dir, f"ctx_{context_id}.json") - if os.path.exists(context_file): - try: - context = self.backend_class( - context_id=context_id, - llm_interface=self.config.CONTEXT_SUMMARY_INTERFACE, # Can be configured later. - max_history_length=self.config.CONTEXT_MAX_HISTORY_LENGTH, - auto_summarize_trigger=self.config.CONTEXT_AUTO_SUMMARIZE_TRIGGER, - file_path=context_file, - ) - self._active_contexts[context_id] = context - return context - except Exception as e: - print(f"Warning: Failed to load context {context_id}: {e}") - - return None - - def delete_context(self, context_id: str) -> bool: - """ - Delete the context object with the specified ID. - - Args: - context_id: Context ID - - Returns: - bool: Whether deletion succeeded - """ - with self._lock: - success = False - - # Remove it from active contexts. - if context_id in self._active_contexts: - del self._active_contexts[context_id] - success = True - - # Delete context keys from Redis. - if self._delete_context_redis_keys(context_id): - success = True - - # Delete the file if it exists. - context_file = os.path.join(self.context_dir, f"ctx_{context_id}.json") - if os.path.exists(context_file): - try: - os.remove(context_file) - success = True - except Exception as e: - print(f"Warning: Failed to delete context file {context_file}: {e}") - - return success - - def list_context_ids(self) -> List[str]: - """List all known context IDs, including Redis and the file system.""" - context_ids = set(self._active_contexts.keys()) - context_ids.update(self._list_context_ids_from_redis()) - - try: - for filename in os.listdir(self.context_dir): - if filename.startswith("ctx_") and filename.endswith(".json"): - context_ids.add(filename[4:-5]) - except Exception as e: - print(f"Warning: Failed to scan context dir for ids: {e}") - - return sorted(context_ids) - - def list_contexts(self) -> List[Dict[str, Any]]: - """ - List all available contexts. - - Returns: - List[Dict]: Context information list - """ - contexts = [] - - # Scan context files in the file system. - try: - for filename in os.listdir(self.context_dir): - if filename.startswith("ctx_") and filename.endswith(".json"): - context_id = filename[4:-5] # Remove the "ctx_" prefix and ".json" suffix. - - context_info = { - "context_id": context_id, - "file_path": os.path.join(self.context_dir, filename), - "is_active": context_id in self._active_contexts, - } - - # Try to read basic information. - try: - file_path = context_info["file_path"] - if isinstance(file_path, str): - with open(file_path, "r", encoding="utf-8") as f: - data = json.load(f) - metadata = data.get("metadata", {}) - context_info.update( - { - "start_time": metadata.get("start_time"), - "last_activity": metadata.get("last_activity"), - "total_messages": metadata.get( - "total_messages", 0 - ), - } - ) - except Exception: - pass # Ignore read errors. - - contexts.append(context_info) - - except Exception as e: - print(f"Warning: Failed to list contexts: {e}") - - return contexts - - async def save_context(self, context_id: str) -> bool: - """ - Manually save the specified context to file. - - Args: - context_id: Context ID - - Returns: - bool: Whether saving succeeded - """ - with self._lock: - context = self._active_contexts.get(context_id) - - if context is None: - return False - - try: - return await context.persist() - except Exception as e: - print(f"Warning: Failed to save context {context_id}: {e}") - return False - - async def save_all_contexts(self) -> int: - """ - Save all active contexts to files. - - Returns: - int: Number of contexts successfully saved - """ - saved_count = 0 - with self._lock: - context_ids = list(self._active_contexts.keys()) - - for context_id in context_ids: - if await self.save_context(context_id): - saved_count += 1 - - return saved_count - - async def cleanup_inactive_contexts(self, max_inactive_time: int = 3600) -> int: - """ - Clean up contexts that have been inactive for a long time. - - Args: - max_inactive_time: Maximum inactive time in seconds - - Returns: - int: Number of cleaned contexts - """ - cleaned_count = 0 - current_time = datetime.now() - contexts_to_persist: list[tuple[str, ContextBackend]] = [] - - with self._lock: - contexts_to_remove = [] - - for context_id, context in self._active_contexts.items(): - try: - metadata = context.get_metadata() - last_activity_str = metadata.get("last_activity") - if last_activity_str: - last_activity = datetime.fromisoformat(last_activity_str) - inactive_time = (current_time - last_activity).total_seconds() - - if inactive_time > max_inactive_time: - # Persist the context before removing it. - contexts_to_persist.append((context_id, context)) - contexts_to_remove.append(context_id) - cleaned_count += 1 - except Exception as e: - print( - f"Warning: Error checking activity for context {context_id}: {e}" - ) - - for context_id, context in contexts_to_persist: - try: - await context.persist() - except Exception as e: - print(f"Warning: Failed to persist inactive context {context_id}: {e}") - - with self._lock: - for context_id in contexts_to_remove: - del self._active_contexts[context_id] - - return cleaned_count - - # ===== Convenience interfaces ===== - - async def add_message( - self, - context_id: str, - message: Message, - ) -> bool: - """ - Convenience method for adding a message. - - Args: - context_id: Context ID - role: Message role - content: Message content - **message_kwargs: Other message parameters - - Returns: - bool: Whether adding succeeded - """ - backend = self.get_context(context_id) - if not backend: - return False - - try: - await backend.store_message(message) - return True - except Exception as e: - print(f"Warning: Failed to add message: {e}") - return False - - def get_history(self, context_id: str, limit: Optional[int] = None) -> List: - """ - Get conversation history. - - Args: - context_id: Context ID - limit: Limit on the number of returned messages - - Returns: - List: Message history - """ - backend = self.get_context(context_id) - if not backend: - return [] - - return backend.retrieve_messages(limit) - - async def summarize_context(self, context_id: str) -> Optional[str]: - """ - Summarize the context. - - Args: - context_id: Context ID - - Returns: - Optional[str]: Summary content - """ - backend = self.get_context(context_id) - if not backend: - return None - - return await backend.auto_summarize() - - -# Global instance. -_global_context_manager: Optional[ContextManager] = None - - -def get_context_manager() -> ContextManager: - """Get the global ContextManager instance.""" - global _global_context_manager - if _global_context_manager is None: - # Get Redis configuration from config. - config = get_config() - - # redis config - redis_host = config.REDIS_HOST - redis_port = int(config.REDIS_PORT) - redis_db = int(config.REDIS_DB) - - # Create a custom backend class with preconfigured Redis parameters. - class ConfiguredRedisFileBackend(RedisFileContextBackend): - def __init__( - self, - context_id: str, - llm_interface: Optional[ - OpenAICompatible - ] = config.CONTEXT_SUMMARY_INTERFACE, - max_history_length: int = config.CONTEXT_MAX_HISTORY_LENGTH, - auto_summarize_trigger: int = config.CONTEXT_AUTO_SUMMARIZE_TRIGGER, - redis_host: str = redis_host, - redis_port: int = redis_port, - redis_db: int = redis_db, - file_path: str = "", - ): - super().__init__( - context_id=context_id, - llm_interface=llm_interface, - max_history_length=max_history_length, - auto_summarize_trigger=auto_summarize_trigger, - redis_host=redis_host, - redis_port=redis_port, - redis_db=redis_db, - file_path=file_path, - ) - self.file_path = file_path - self.context_id = context_id - self.llm_interface = llm_interface - self.max_history_length = max_history_length - self.auto_summarize_trigger = auto_summarize_trigger - self.redis_host = redis_host - self.redis_port = redis_port - self.redis_db = redis_db - - # Create ContextManager using the configured backend class. - _global_context_manager = ContextManager( - backend_class=ConfiguredRedisFileBackend - ) - return _global_context_manager diff --git a/CADDesigner-Code/context/conversation_manager.py b/CADDesigner-Code/context/conversation_manager.py deleted file mode 100644 index 51ac1a6..0000000 --- a/CADDesigner-Code/context/conversation_manager.py +++ /dev/null @@ -1,456 +0,0 @@ -from __future__ import annotations -import uuid -import threading -import os -from typing import Dict, Optional, List, Any -from datetime import datetime -from dataclasses import dataclass -from SimpleLLMFunc import OpenAICompatible -from SimpleLLMFunc.logger import push_warning, push_error, app_log -from context.context_manager import get_context_manager, ContextManager -from context.sketch_manager import get_sketch_manager, SketchManager -from context.sketch_pad import SketchPadBackend -from context.context import ContextBackend -from config.config import get_config - - -# Global current conversation context variable. -_current_conversation: Optional[Conversation] = None -_conversation_context_lock = threading.RLock() - - -def get_current_conversation() -> Optional[Conversation]: - """Get the Conversation in the current context.""" - global _current_conversation - with _conversation_context_lock: - return _current_conversation - - -def get_current_context() -> Optional[ContextBackend]: - """Get the Context in the current context.""" - conversation = get_current_conversation() - return conversation.context if conversation else None - - -def get_current_sketch_pad() -> Optional[SketchPadBackend]: - """Get the SketchPad in the current context.""" - conversation = get_current_conversation() - return conversation.sketch_pad if conversation else None - - -@dataclass -class Conversation: - """ - Conversation data class representing a complete conversation session. - Contains a unique UUID, associated Context, and SketchPad. - Supports use as a context manager. - """ - - uuid: str - context: ContextBackend - sketch_pad: SketchPadBackend - created_at: datetime - last_accessed: datetime - - def update_access_time(self): - """Update the last access time.""" - self.last_accessed = datetime.now() - - def __enter__(self): - """Enter the context manager.""" - global _current_conversation - with _conversation_context_lock: - if _current_conversation is not None: - raise RuntimeError("Cannot nest conversation contexts") - _current_conversation = self - self.update_access_time() - return self - - def __exit__(self, exc_type, exc_val, exc_tb): - """Exit the context manager.""" - global _current_conversation - with _conversation_context_lock: - _current_conversation = None - return False - - -class ConversationManager: - """ - Conversation manager responsible for creating, managing, and coordinating Conversation lifecycles. - Each Conversation contains one Context and one SketchPad, and they share the same UUID. - - ConversationManager is a global singleton that uses ContextManager and SketchManager - to manage the underlying Context and SketchPad objects. - """ - - _instance = None - _lock = threading.Lock() - - def __new__(cls): - """Singleton pattern implementation.""" - if cls._instance is None: - with cls._lock: - if cls._instance is None: - cls._instance = super(ConversationManager, cls).__new__(cls) - return cls._instance - - def __init__(self): - """Initialize ConversationManager.""" - # Prevent duplicate initialization. - if hasattr(self, "_initialized"): - return - - self.config = get_config() - self.context_manager: ContextManager = get_context_manager() - self.sketch_manager: SketchManager = get_sketch_manager() - self._active_conversations: Dict[str, Conversation] = {} - self._lock = threading.RLock() - - # Create the conversations directory. - self.conversations_dir = os.path.join( - os.path.dirname(self.config.CONTEXT_DIR), "conversations" - ) - os.makedirs(self.conversations_dir, exist_ok=True) - - self._initialized = True - - def create_conversation( - self, - conversation_id: Optional[str] = None, - llm_interface: Optional[OpenAICompatible] = None, - max_history_length: int = 5, - ) -> Conversation: - """ - Create a new Conversation. - - Args: - conversation_id: Conversation UUID; generated automatically if None - llm_interface: LLM interface used for Context - max_history_length: Maximum Context history length - - Returns: - Conversation: Created Conversation object - """ - with self._lock: - if conversation_id is None: - conversation_id = str(uuid.uuid4()) - - # Check whether it already exists. - if conversation_id in self._active_conversations: - conversation = self._active_conversations[conversation_id] - conversation.update_access_time() - return conversation - - # Create Context with the ctx prefix. - context = self.context_manager.create_context( - context_id=conversation_id, - llm_interface=llm_interface, - max_history_length=max_history_length, - ) - - # Create SketchPad with the skt prefix. - sketch_pad = self.sketch_manager.create_sketch_pad( - sketch_id=conversation_id - ) - - # Create the Conversation object. - now = datetime.now() - conversation = Conversation( - uuid=conversation_id, - context=context, - sketch_pad=sketch_pad, - created_at=now, - last_accessed=now, - ) - - # Add it to the active Conversation list. - self._active_conversations[conversation_id] = conversation - - # Immediately persist context and sketch_pad to the file system. - try: - import asyncio - - # Create an event loop to run the asynchronous task. - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - try: - loop.run_until_complete(context.persist()) - # Synchronously call sketch_pad.persist(). - sketch_pad.persist() - finally: - loop.close() - app_log(f"Conversation {conversation_id} was successfully persisted to the file system") - except Exception as e: - push_warning(f"Failed to persist conversation {conversation_id}: {e}") - - # Create a persistence marker file. - self._create_conversation_marker(conversation_id) - - return conversation - - def get_conversation(self, conversation_id: str) -> Optional[Conversation]: - """ - Get the Conversation with the specified ID. - - Args: - conversation_id: Conversation UUID - - Returns: - Conversation: Conversation object, or None if it does not exist - """ - with self._lock: - # First check active Conversations. - if conversation_id in self._active_conversations: - conversation = self._active_conversations[conversation_id] - conversation.update_access_time() - return conversation - - # Try to rebuild from the file system. - context = self.context_manager.get_context(conversation_id) - sketch_pad = self.sketch_manager.get_sketch_pad(conversation_id) - - if context is not None and sketch_pad is not None: - # Rebuild the Conversation object. - now = datetime.now() - conversation = Conversation( - uuid=conversation_id, - context=context, - sketch_pad=sketch_pad, - created_at=now, # Use the current time as the rebuild time. - last_accessed=now, - ) - - self._active_conversations[conversation_id] = conversation - return conversation - - return None - - def delete_conversation(self, conversation_id: str) -> bool: - """ - Delete the Conversation with the specified ID. - - Args: - conversation_id: Conversation UUID - - Returns: - bool: Whether deletion succeeded - """ - with self._lock: - success = False - - # Remove it from active Conversations. - if conversation_id in self._active_conversations: - del self._active_conversations[conversation_id] - success = True - - # Delete the underlying Context and SketchPad. - context_deleted = self.context_manager.delete_context(conversation_id) - sketch_deleted = self.sketch_manager.delete_sketch_pad(conversation_id) - - # Delete the marker file. - marker_file = os.path.join( - self.conversations_dir, f"conv_{conversation_id}.marker" - ) - if os.path.exists(marker_file): - try: - os.remove(marker_file) - except Exception as e: - push_warning(f"Failed to delete marker file {marker_file}: {e}") - - return success or context_deleted or sketch_deleted - - def _discover_conversation_ids(self) -> List[str]: - """Discover all known conversation ids across memory, files, and Redis-backed stores.""" - conversation_ids = set(self._active_conversations.keys()) - - try: - for filename in os.listdir(self.conversations_dir): - if filename.startswith("conv_") and filename.endswith(".marker"): - conversation_ids.add(filename[5:-7]) - except Exception as e: - push_warning(f"Failed to scan conversation markers: {e}") - - try: - conversation_ids.update(self.context_manager.list_context_ids()) - except Exception as e: - push_warning(f"Failed to collect context ids: {e}") - - try: - conversation_ids.update(self.sketch_manager.list_sketch_ids()) - except Exception as e: - push_warning(f"Failed to collect sketch ids: {e}") - - return sorted(conversation_ids) - - def delete_all_conversations(self) -> List[str]: - """Delete all known conversations from memory, files, and Redis-backed stores.""" - deleted_ids: List[str] = [] - for conversation_id in self._discover_conversation_ids(): - if self.delete_conversation(conversation_id): - deleted_ids.append(conversation_id) - return deleted_ids - - def list_conversations(self) -> List[Dict[str, Any]]: - """ - List all available Conversations. - - Returns: - List[Dict]: Conversation information list - """ - conversations = [] - - try: - for conversation_id in self._discover_conversation_ids(): - marker_file = os.path.join( - self.conversations_dir, f"conv_{conversation_id}.marker" - ) - conversation_info = { - "conversation_id": conversation_id, - "marker_file": marker_file if os.path.exists(marker_file) else None, - "is_active": conversation_id in self._active_conversations, - } - - context = self.context_manager.get_context(conversation_id) - sketch_pad = self.sketch_manager.get_sketch_pad(conversation_id) - - if context: - metadata = context.get_metadata() - conversation_info.update( - { - "context_start_time": metadata.get("start_time"), - "context_last_activity": metadata.get("last_activity"), - "context_total_messages": context.get_total_message_count(), - "context_has_summary": bool(context.get_summary()), - } - ) - - if sketch_pad: - stats = sketch_pad.get_statistics() - conversation_info.update( - { - "sketch_total_items": stats.total_items, - "sketch_max_items": stats.max_items, - "sketch_memory_usage": stats.memory_usage_percent, - } - ) - - conversations.append(conversation_info) - except Exception as e: - push_warning(f"Failed to list conversations: {e}") - - return conversations - - async def save_conversation(self, conversation_id: str) -> bool: - """ - Manually save the specified Conversation to files. - - Args: - conversation_id: Conversation UUID - - Returns: - bool: Whether saving succeeded - """ - with self._lock: - if conversation_id in self._active_conversations: - try: - conversation = self._active_conversations[conversation_id] - - # Save Context. - context_saved = await conversation.context.persist() - - # Save SketchPad. - conversation.sketch_pad.persist() - sketch_saved = True - - return bool(context_saved and sketch_saved) - except Exception as e: - push_warning(f"Failed to save conversation {conversation_id}: {e}") - - return False - - async def save_all_conversations(self) -> int: - """ - Save all active Conversations to files. - - Returns: - int: Number of Conversations successfully saved - """ - saved_count = 0 - with self._lock: - for conversation_id in list(self._active_conversations.keys()): - if await self.save_conversation(conversation_id): - saved_count += 1 - - return saved_count - - async def cleanup_inactive_conversations( - self, max_inactive_time: int = 3600 - ) -> int: - """ - Clean up Conversations that have been inactive for a long time. - - Args: - max_inactive_time: Maximum inactive time in seconds - - Returns: - int: Number of cleaned Conversations - """ - cleaned_count = 0 - current_time = datetime.now() - - with self._lock: - conversations_to_remove = [] - - for conversation_id, conversation in self._active_conversations.items(): - try: - inactive_time = ( - current_time - conversation.last_accessed - ).total_seconds() - - if inactive_time > max_inactive_time: - # Save the Conversation before removing it. - await self.save_conversation(conversation_id) - conversations_to_remove.append(conversation_id) - cleaned_count += 1 - except Exception as e: - push_warning( - f"Error checking activity for conversation {conversation_id}: {e}" - ) - - # Remove inactive Conversations. - for conversation_id in conversations_to_remove: - del self._active_conversations[conversation_id] - - return cleaned_count - - def _create_conversation_marker(self, conversation_id: str) -> None: - """ - Create a Conversation marker file. - - Args: - conversation_id: Conversation UUID - """ - try: - marker_file = os.path.join( - self.conversations_dir, f"conv_{conversation_id}.marker" - ) - with open(marker_file, "w") as f: - f.write( - f"Conversation {conversation_id} created at {datetime.now().isoformat()}" - ) - except Exception as e: - push_warning( - f"Failed to create marker file for conversation {conversation_id}: {e}" - ) - - -# Global instance. -_global_conversation_manager: Optional[ConversationManager] = None - - -def get_conversation_manager() -> ConversationManager: - """Get the global ConversationManager instance.""" - global _global_conversation_manager - if _global_conversation_manager is None: - _global_conversation_manager = ConversationManager() - return _global_conversation_manager diff --git a/CADDesigner-Code/context/schemas.py b/CADDesigner-Code/context/schemas.py deleted file mode 100644 index 8fd2138..0000000 --- a/CADDesigner-Code/context/schemas.py +++ /dev/null @@ -1,275 +0,0 @@ -from typing import Literal, List, Optional, Union, Any, Dict, Set -from pydantic import BaseModel, Field, model_validator, field_validator, RootModel -from datetime import datetime -import hashlib - - -def _content_item_type(value: Any) -> Optional[str]: - if isinstance(value, dict): - item_type = value.get("type") - return item_type if isinstance(item_type, str) else None - - item_type = getattr(value, "type", None) - return item_type if isinstance(item_type, str) else None - - -def _content_item_text(value: Any) -> Optional[str]: - if isinstance(value, dict): - text = value.get("text") - return text if isinstance(text, str) else None - - text = getattr(value, "text", None) - return text if isinstance(text, str) else None - - -def _content_item_image_payload(value: Any) -> Any: - if isinstance(value, dict): - return value.get("image_url") - return getattr(value, "image_url", None) - - -def _image_payload_string_field(payload: Any, field_name: str) -> Optional[str]: - if isinstance(payload, dict): - value = payload.get(field_name) - return value if isinstance(value, str) else None - - value = getattr(payload, field_name, None) - return value if isinstance(value, str) else None - - -def _normalize_multimodal_content_item(value: Any) -> Dict[str, Any]: - if hasattr(value, "model_dump"): - value = value.model_dump() - - item_type = _content_item_type(value) - if item_type == "text": - text = _content_item_text(value) - if text is None: - raise ValueError("Text content item is missing a valid 'text' field") - return {"type": "text", "text": text} - - if item_type == "image_url": - image_payload = _content_item_image_payload(value) - url = _image_payload_string_field(image_payload, "url") - if url is None: - raise ValueError( - "Image content item is missing a valid 'image_url.url' field" - ) - - normalized_payload: Dict[str, Any] = {"url": url} - - detail = _image_payload_string_field(image_payload, "detail") - if detail in {"auto", "low", "high"}: - normalized_payload["detail"] = detail - - local_path = _image_payload_string_field(image_payload, "local_path") - if local_path: - normalized_payload["local_path"] = local_path - - return {"type": "image_url", "image_url": normalized_payload} - - raise ValueError(f"Unsupported multimodal content item: {type(value).__name__}") - - -def _normalize_message_content(value: Any) -> Any: - if value is None or isinstance(value, str): - return value - - if isinstance(value, list): - return [_normalize_multimodal_content_item(item) for item in value] - - return value - - -class TextContent(BaseModel): - type: Literal["text"] = Field(..., description="Content block type: plain text") - text: str = Field(..., description="Text content of the message") - - -class ImageURL(BaseModel): - url: str = Field(..., description="Public access URL for the image") - detail: Optional[Literal["auto", "low", "high"]] = Field( - None, description="Optional image detail level" - ) - local_path: Optional[str] = Field(None, description="Local path of the image in the workspace") - - -class ImageContent(BaseModel): - type: Literal["image_url"] = Field(..., description="Content block type: image URL") - image_url: ImageURL = Field(..., description="Detailed information for the image content") - - -MessageContent = Union[str, None, List[Union[TextContent, ImageContent]]] - - -class FunctionCall(BaseModel): - name: str = Field(..., description="Name of the function to call") - arguments: str = Field(..., description="JSON-formatted string of arguments to pass") - - -class ToolCall(BaseModel): - id: str = Field(..., description="Unique ID of this tool call") - type: Literal["function"] = Field(..., description="Type of called tool (function)") - function: FunctionCall = Field(..., description="Function call specification") - - -class Message(BaseModel): - role: Literal["system", "user", "assistant", "tool"] = Field( - ..., description="Role of the message sender" - ) - content: MessageContent = Field( - ..., - description=( - "Message content. It can be a string, null (when calling tools), or a list of structured multimodal blocks." - ), - ) - name: Optional[str] = Field( - default=None, - description="Optional sender name, required when the role is 'user' or 'tool'", - max_length=64, - pattern=r"^[a-zA-Z0-9_]*$", - ) - tool_calls: Optional[List[ToolCall]] = Field( - default=None, description="List of tool calls the assistant wants to invoke" - ) - tool_call_id: Optional[str] = Field( - default=None, description="Tool call ID that this tool message responds to" - ) - timestamp: Optional[str] = Field(default=None, description="Message timestamp (ISO format)") - - @field_validator("content", mode="before") - @classmethod - def normalize_content(cls, value: Any): - return _normalize_message_content(value) - - @model_validator(mode="after") - def validate_tool_message_consistency(cls, values): - role = values.role - content = values.content - tool_calls = values.tool_calls - tool_call_id = values.tool_call_id - - if role == "assistant" and tool_calls and content is not None: - raise ValueError( - "When role is 'assistant' and tool_calls exist, content must be None." - ) - if role == "tool" and not tool_call_id: - raise ValueError("When role is 'tool', tool_call_id must be provided.") - return values - - -class ChatMessages(RootModel[List[Message]]): - """Chat message list ordered chronologically.""" - - -class SketchPadItem(BaseModel): - """Data structure for a SketchPad storage item.""" - - value: Any = Field(..., description="Stored value") - timestamp: datetime = Field(default_factory=datetime.now, description="Creation time") - summary: Optional[str] = Field(default=None, description="Content summary") - expires_at: Optional[datetime] = Field(default=None, description="Expiration time") - access_count: int = Field(default=0, description="Access count") - last_accessed: Optional[datetime] = Field(default=None, description="Last access time") - tags: Set[str] = Field(default_factory=set, description="Tag set") - content_type: str = Field(default="text", description="Content type") - content_hash: Optional[str] = Field(default=None, description="Content hash value") - - @field_validator("last_accessed", mode="before") - @classmethod - def set_last_accessed(cls, v): - """If last_accessed is None, set it to the current time.""" - if v is None: - return datetime.now() - return v - - @field_validator("content_hash", mode="before") - @classmethod - def set_content_hash(cls, v, info): - """If content_hash is None, compute the hash value.""" - if v is None: - value = info.data.get("value") - if value is not None: - content_str = str(value) - return hashlib.md5(content_str.encode()).hexdigest()[:8] - return v - - def is_expired(self) -> bool: - """Check whether the item has expired.""" - return self.expires_at is not None and datetime.now() > self.expires_at - - def update_access(self): - """Update access information for LRU caching.""" - self.access_count += 1 - self.last_accessed = datetime.now() - - def to_dict(self) -> Dict[str, Any]: - """Convert to a dictionary for serialization.""" - return { - "value": self.value, - "timestamp": self.timestamp.isoformat(), - "summary": self.summary, - "expires_at": self.expires_at.isoformat() if self.expires_at else None, - "access_count": self.access_count, - "last_accessed": ( - self.last_accessed.isoformat() if self.last_accessed else None - ), - "tags": list(self.tags), - "content_type": self.content_type, - "content_hash": self.content_hash, - } - - @classmethod - def from_dict(cls, data: Dict[str, Any]) -> "SketchPadItem": - """Create an instance from a dictionary.""" - # Process time fields. - if isinstance(data.get("timestamp"), str): - data["timestamp"] = datetime.fromisoformat(data["timestamp"]) - if data.get("expires_at") and isinstance(data["expires_at"], str): - data["expires_at"] = datetime.fromisoformat(data["expires_at"]) - if data.get("last_accessed") and isinstance(data["last_accessed"], str): - data["last_accessed"] = datetime.fromisoformat(data["last_accessed"]) - - # Process tags. - if data.get("tags") and isinstance(data["tags"], list): - data["tags"] = set(data["tags"]) - - return cls(**data) - - -class SketchPadStatistics(BaseModel): - """SketchPad statistics.""" - - total_items: int = Field(..., description="Total number of items") - max_items: int = Field(..., description="Maximum number of items") - items_with_summary: int = Field(..., description="Number of items with summaries") - total_accesses: int = Field(..., description="Total number of accesses") - popular_tags: Dict[str, int] = Field(..., description="Popular tag statistics") - content_types: Dict[str, int] = Field(..., description="Content type statistics") - avg_access_per_item: float = Field(..., description="Average accesses per item") - memory_usage_percent: float = Field(..., description="Memory usage percentage") - - -class SketchPadSearchResult(BaseModel): - """SketchPad search result.""" - - key: str = Field(..., description="Item key") - value: Any = Field(..., description="Item value") - summary: Optional[str] = Field(default=None, description="Item summary") - timestamp: str = Field(..., description="Creation time (ISO format)") - tags: List[str] = Field(default_factory=list, description="Tag list") - content_type: str = Field(..., description="Content type") - access_count: int = Field(..., description="Access count") - - -class SketchPadListItem(BaseModel): - """SketchPad list item.""" - - key: str = Field(..., description="Item key") - summary: Optional[str] = Field(default=None, description="Item summary") - timestamp: str = Field(..., description="Creation time (ISO format)") - tags: List[str] = Field(default_factory=list, description="Tag list") - content_type: str = Field(..., description="Content type") - access_count: int = Field(..., description="Access count") - content_hash: Optional[str] = Field(default=None, description="Content hash value") - value: Optional[Any] = Field(default=None, description="Item value, only present when content is included") diff --git a/CADDesigner-Code/context/sketch_manager.py b/CADDesigner-Code/context/sketch_manager.py deleted file mode 100644 index 4890d9a..0000000 --- a/CADDesigner-Code/context/sketch_manager.py +++ /dev/null @@ -1,540 +0,0 @@ -import os -import json -import uuid -import threading -from typing import Dict, Optional, List, Type, Any, cast -from datetime import datetime -import redis -from SimpleLLMFunc import OpenAICompatible - -from context.sketch_pad import SketchPadBackend, RedisFileSketchPadBackend -from config.config import get_config - - -class SketchManager: - """ - General-purpose SketchPad manager that supports different backend implementations. - - Main responsibilities: - 1. Manage creation and lifecycle of SketchPadBackend instances - 2. Provide advanced convenience interfaces - 3. Handle batch operations and cleanup tasks - 4. Support pluggable backend implementations - """ - - _instance = None - _lock: threading.Lock = threading.Lock() - - def __new__(cls, backend_class: Type[SketchPadBackend] = RedisFileSketchPadBackend): - """Singleton pattern implementation.""" - if cls._instance is None: - with cls._lock: - if cls._instance is None: - cls._instance = super(SketchManager, cls).__new__(cls) - cls._instance.backend_class = backend_class - return cls._instance - - def __init__(self, backend_class: Type[SketchPadBackend]): - """ - Initialize the SketchPad manager. - - Args: - backend_class: Backend implementation class, defaulting to RedisFileSketchPadBackend - """ - # Prevent duplicate initialization. - if hasattr(self, "_initialized"): - return - - self.backend_class = backend_class - self.config = get_config() - self.sketch_dir = self.config.SKETCH_DIR - self._active_sketches: Dict[str, SketchPadBackend] = {} - - # Ensure the directory exists. - os.makedirs(self.sketch_dir, exist_ok=True) - - self._initialized = True - - def _redis_client(self) -> redis.Redis: - return redis.Redis( - host=self.config.REDIS_HOST, - port=int(self.config.REDIS_PORT), - db=int(self.config.REDIS_DB), - decode_responses=True, - ) - - def _list_sketch_ids_from_redis(self) -> set[str]: - sketch_ids: set[str] = set() - try: - client = self._redis_client() - raw_keys = cast(Any, client.keys("sketch_pad:*:*")) - for key in cast(List[str], raw_keys): - parts = key.split(":", 2) - if len(parts) >= 3 and parts[0] == "sketch_pad" and parts[1]: - sketch_ids.add(parts[1]) - except Exception as e: - print(f"Warning: Failed to list sketch ids from Redis: {e}") - return sketch_ids - - def _delete_sketch_redis_keys(self, sketch_id: str) -> bool: - try: - client = self._redis_client() - raw_keys = cast(Any, client.keys(f"sketch_pad:{sketch_id}:*")) - keys = cast(List[str], raw_keys) - if not keys: - return False - deleted = cast(Any, client.delete(*keys)) - return int(deleted) > 0 - except Exception as e: - print(f"Warning: Failed to delete Redis sketch keys for {sketch_id}: {e}") - return False - - def create_sketch_pad( - self, - sketch_id: Optional[str] = None, - **backend_kwargs, - ) -> SketchPadBackend: - """ - Create a new SketchPad object. - - Args: - sketch_id: SketchPad ID; generated automatically if None - **backend_kwargs: Extra parameters passed to the backend - - Returns: - SketchPadBackend: Created SketchPad object - """ - with self._lock: - if sketch_id is None: - sketch_id = str(uuid.uuid4()) - - # Check whether it already exists. - if sketch_id in self._active_sketches: - return self._active_sketches[sketch_id] - - # Generate the file path if the backend needs one. - if "file_path" not in backend_kwargs: - sketch_file = os.path.join(self.sketch_dir, f"skt_{sketch_id}.json") - backend_kwargs["file_path"] = sketch_file - - # Create the SketchPad object. - sketch_pad = self.backend_class( - sketch_pad_id=sketch_id, - **backend_kwargs, - ) - - # Add it to the active SketchPad list. - self._active_sketches[sketch_id] = sketch_pad - - return sketch_pad - - def get_sketch_pad(self, sketch_id: str) -> Optional[SketchPadBackend]: - """ - Get the SketchPad object with the specified ID. - - Args: - sketch_id: SketchPad ID - - Returns: - SketchPadBackend: SketchPad object, or None if it does not exist - """ - with self._lock: - # First check active SketchPads. - if sketch_id in self._active_sketches: - return self._active_sketches[sketch_id] - - # Try to load from file if the backend supports it. - sketch_file = os.path.join(self.sketch_dir, f"skt_{sketch_id}.json") - if os.path.exists(sketch_file): - try: - sketch_pad = self.backend_class( - sketch_pad_id=sketch_id, - file_path=sketch_file, - ) - self._active_sketches[sketch_id] = sketch_pad - return sketch_pad - except Exception as e: - print(f"Warning: Failed to load sketch {sketch_id}: {e}") - - return None - - def delete_sketch_pad(self, sketch_id: str) -> bool: - """ - Delete the SketchPad object with the specified ID. - - Args: - sketch_id: SketchPad ID - - Returns: - bool: Whether deletion succeeded - """ - with self._lock: - success = False - - # Remove it from active SketchPads. - if sketch_id in self._active_sketches: - del self._active_sketches[sketch_id] - success = True - - # Delete sketch keys from Redis. - if self._delete_sketch_redis_keys(sketch_id): - success = True - - # Delete the file if it exists. - sketch_file = os.path.join(self.sketch_dir, f"skt_{sketch_id}.json") - if os.path.exists(sketch_file): - try: - os.remove(sketch_file) - success = True - except Exception as e: - print(f"Warning: Failed to delete sketch file {sketch_file}: {e}") - - return success - - def list_sketch_ids(self) -> List[str]: - """List all known SketchPad IDs, including Redis and the file system.""" - sketch_ids = set(self._active_sketches.keys()) - sketch_ids.update(self._list_sketch_ids_from_redis()) - - try: - for filename in os.listdir(self.sketch_dir): - if filename.startswith("skt_") and filename.endswith(".json"): - sketch_ids.add(filename[4:-5]) - except Exception as e: - print(f"Warning: Failed to scan sketch dir for ids: {e}") - - return sorted(sketch_ids) - - def list_sketch_pads(self) -> List[Dict[str, Any]]: - """ - List all available SketchPads. - - Returns: - List[Dict]: SketchPad information list - """ - sketches = [] - - # Scan SketchPad files in the file system. - try: - for filename in os.listdir(self.sketch_dir): - if filename.startswith("skt_") and filename.endswith(".json"): - sketch_id = filename[4:-5] # Remove the "skt_" prefix and ".json" suffix. - - sketch_info = { - "sketch_id": sketch_id, - "file_path": os.path.join(self.sketch_dir, filename), - "is_active": sketch_id in self._active_sketches, - } - - # Try to read basic information. - try: - file_path = sketch_info["file_path"] - if isinstance(file_path, str): - with open(file_path, "r", encoding="utf-8") as f: - data = json.load(f) - sketch_info.update( - { - "total_items": len(data.get("items", {})), - "last_saved": data.get( - "serialization_timestamp" - ), - "sketch_pad_id": data.get("sketch_pad_id"), - } - ) - except Exception: - pass # Ignore read errors. - - sketches.append(sketch_info) - - except Exception as e: - print(f"Warning: Failed to list sketches: {e}") - - return sketches - - def save_sketch_pad(self, sketch_id: str) -> bool: - """ - Manually save the specified SketchPad to file. - - Args: - sketch_id: SketchPad ID - - Returns: - bool: Whether saving succeeded - """ - with self._lock: - if sketch_id in self._active_sketches: - try: - sketch_pad = self._active_sketches[sketch_id] - sketch_pad.persist() - return True - except Exception as e: - print(f"Warning: Failed to save sketch {sketch_id}: {e}") - - return False - - async def save_all_sketch_pads(self) -> int: - """ - Save all active SketchPads to files. - - Returns: - int: Number of SketchPads successfully saved - """ - saved_count = 0 - with self._lock: - for sketch_id in list(self._active_sketches.keys()): - if self.save_sketch_pad(sketch_id): - saved_count += 1 - - return saved_count - - async def cleanup_inactive_sketches(self, max_inactive_count: int = 10) -> int: - """ - Clean up inactive SketchPads based on usage frequency. - - Args: - max_inactive_count: Maximum number of SketchPads to keep active - - Returns: - int: Number of cleaned SketchPads - """ - cleaned_count = 0 - - with self._lock: - if len(self._active_sketches) <= max_inactive_count: - return 0 - - # Sort by access statistics and keep the most-used items. - sketches_by_usage = [] - for sketch_id, sketch_pad in self._active_sketches.items(): - try: - stats = sketch_pad.get_statistics() - total_accesses = stats.total_accesses - sketches_by_usage.append((sketch_id, sketch_pad, total_accesses)) - except Exception: - sketches_by_usage.append((sketch_id, sketch_pad, 0)) - - # Sort by access count. - sketches_by_usage.sort(key=lambda x: x[2], reverse=True) - - # Save and remove low-usage SketchPads. - sketches_to_remove = sketches_by_usage[max_inactive_count:] - for sketch_id, sketch_pad, _ in sketches_to_remove: - try: - # Save to file. - sketch_pad.persist() - - # Remove from the active list. - del self._active_sketches[sketch_id] - cleaned_count += 1 - except Exception as e: - print(f"Warning: Error cleaning sketch {sketch_id}: {e}") - - return cleaned_count - - # ===== Convenience interfaces ===== - - async def set_item( - self, - sketch_id: str, - key: str, - value: Any, - ttl: Optional[int] = None, - summary: Optional[str] = None, - tags: Optional[set] = None, - ) -> Optional[str]: - """ - Convenience method for setting an item. - - Args: - sketch_id: SketchPad ID - key: Key name - value: Value - ttl: Expiration time in seconds - summary: Summary - tags: Tags - - Returns: - Optional[str]: Set key name, or None on failure - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return None - - try: - return await sketch_pad.set_item(key, value, ttl, summary, tags) - except Exception as e: - print(f"Warning: Failed to set item: {e}") - return None - - def get_item(self, sketch_id: str, key: str) -> Optional[Any]: - """ - Get an item. - - Args: - sketch_id: SketchPad ID - key: Key name - - Returns: - Optional[Any]: Item value - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return None - - return sketch_pad.get_item(key) - - def get_value(self, sketch_id: str, key: str) -> Optional[Any]: - """ - Get a value. - - Args: - sketch_id: SketchPad ID - key: Key name - - Returns: - Optional[Any]: Value - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return None - - return sketch_pad.get_value(key) - - def search_by_tags( - self, sketch_id: str, tags: set, match_all: bool = False - ) -> List[tuple]: - """ - Search by tags. - - Args: - sketch_id: SketchPad ID - tags: Tag set - match_all: Whether to match all tags - - Returns: - List[tuple]: Search results - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return [] - - return sketch_pad.search_by_tags(tags, match_all) - - def search_by_content( - self, sketch_id: str, query: str, limit: int = 5 - ) -> List[tuple]: - """ - Search by content. - - Args: - sketch_id: SketchPad ID - query: Search query - limit: Result count limit - - Returns: - List[tuple]: Search results - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return [] - - return sketch_pad.search_by_content(query, limit) - - def delete_item(self, sketch_id: str, key: str) -> bool: - """ - Delete an item. - - Args: - sketch_id: SketchPad ID - key: Key name - - Returns: - bool: Whether deletion succeeded - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return False - - return sketch_pad.delete(key) - - def get_statistics(self, sketch_id: str) -> Optional[Any]: - """ - Get statistics. - - Args: - sketch_id: SketchPad ID - - Returns: - Optional[Any]: Statistics - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return None - - try: - return sketch_pad.get_statistics() - except Exception as e: - print(f"Warning: Failed to get statistics: {e}") - return None - - def list_items(self, sketch_id: str, include_value: bool = False) -> List[Any]: - """ - List all items. - - Args: - sketch_id: SketchPad ID - include_value: Whether to include values - - Returns: - List[Any]: Item list - """ - sketch_pad = self.get_sketch_pad(sketch_id) - if not sketch_pad: - return [] - - try: - return sketch_pad.list_items(include_value) - except Exception as e: - print(f"Warning: Failed to list items: {e}") - return [] - - -# Global instance. -_global_sketch_manager: Optional[SketchManager] = None - - -def get_sketch_manager() -> SketchManager: - """Get the global SketchManager instance.""" - global _global_sketch_manager - if _global_sketch_manager is None: - # Get Redis configuration from config. - config = get_config() - - # redis config - redis_host = config.REDIS_HOST - redis_port = int(config.REDIS_PORT) - redis_db = int(config.REDIS_DB) - - # Create a custom backend class with preconfigured Redis parameters. - class ConfiguredRedisFileSketchPadBackend(RedisFileSketchPadBackend): - def __init__( - self, - sketch_pad_id: str, - redis_host: str = redis_host, - redis_port: int = redis_port, - redis_db: int = redis_db, - file_path: Optional[str] = None, - ): - super().__init__( - sketch_pad_id=sketch_pad_id, - redis_host=redis_host, - redis_port=redis_port, - redis_db=redis_db, - file_path=file_path, - ) - - # Create SketchManager using the configured backend class. - _global_sketch_manager = SketchManager( - backend_class=ConfiguredRedisFileSketchPadBackend - ) - return _global_sketch_manager diff --git a/CADDesigner-Code/context/sketch_pad.py b/CADDesigner-Code/context/sketch_pad.py deleted file mode 100644 index 01affe1..0000000 --- a/CADDesigner-Code/context/sketch_pad.py +++ /dev/null @@ -1,586 +0,0 @@ -from abc import ABC, abstractmethod -from typing import Any, Dict, List, Optional, Union, Set, Tuple, override, cast -from datetime import datetime, timedelta -import threading -import json -import os -import hashlib -from context.schemas import ( - SketchPadItem, - SketchPadStatistics, - SketchPadListItem, -) -from redis import Redis - -class SketchPadBackend(ABC): - """ - SketchPad base interface. - Defines the operations that any SketchPad backend implementation must support. - - Every sketch item has the following attributes: - - value: Any = Field(..., description="Stored value") - timestamp: datetime = Field(default_factory=datetime.now, description="Creation time") - summary: Optional[str] = Field(default=None, description="Content summary") - expires_at: Optional[datetime] = Field(default=None, description="Expiration time") - access_count: int = Field(default=0, description="Access count") - last_accessed: Optional[datetime] = Field(default=None, description="Last access time") - tags: Set[str] = Field(default_factory=set, description="Tag set") - content_type: str = Field(default="text", description="Content type") - content_hash: Optional[str] = Field(default=None, description="Content hash value") - """ - - @abstractmethod - def __init__( - self, - sketch_pad_id: str, - file_path: Optional[str] = None, - ): - """ - Initialize the SketchPad backend. - - Args: - sketch_pad_id: Unique identifier for the SketchPad backend - file_path: File path used for persisting data - """ - pass - - @abstractmethod - async def set_item( - self, - key: str, - value: Any, - ttl: Optional[int] = None, - summary: Optional[str] = None, - tags: Optional[Set[str]] = None, - ) -> str: - """Set a key-value pair.""" - pass - - @abstractmethod - def get_item(self, key: str) -> Optional[SketchPadItem]: - """Get complete item information.""" - pass - - @abstractmethod - def get_value(self, key: str) -> Any: - """Get only the value.""" - pass - - @abstractmethod - def search_by_tags( - self, tags: Set[str], match_all: bool = False - ) -> List[Tuple[str, SketchPadItem]]: - """Search by tags.""" - pass - - @abstractmethod - def search_by_content( - self, query: str, limit: int = 5 - ) -> List[Tuple[str, SketchPadItem]]: - """Simple content-based search.""" - pass - - @abstractmethod - def delete(self, key: str) -> bool: - """Delete a key-value pair.""" - pass - - @abstractmethod - def exists(self, key: str) -> bool: - """Check whether a key exists.""" - pass - - @abstractmethod - def keys(self, pattern: Optional[str] = None) -> List[str]: - """Get all key names.""" - pass - - @abstractmethod - def clear(self) -> None: - """Clear all data.""" - pass - - @abstractmethod - def serialize(self) -> Dict[str, Any]: - """Serialize to a dictionary for saving to file.""" - pass - - @abstractmethod - def deserialize(self, data: Dict[str, Any]) -> None: - """Deserialize from a dictionary for loading from file.""" - pass - - @abstractmethod - def persist(self) -> None: - """Persist data.""" - pass - - @abstractmethod - def restore(self) -> None: - """Restore from persisted data.""" - pass - - @abstractmethod - def get_statistics(self) -> SketchPadStatistics: - """Get statistics.""" - pass - - @abstractmethod - def list_items(self, include_value: bool = False) -> List[SketchPadListItem]: - """List all items.""" - pass - - -class RedisFileSketchPadBackend(SketchPadBackend): - """ - RedisFileSketchPadBackend combines immediate Redis storage with file-system persistence for SketchPad backend implementation. - - Features: - 1. Redis provides high-performance immediate access - 2. The file system provides reliable persistence - 3. Supports automatic synchronization and recovery - 4. Uses Redis AOF + RDB mechanisms - """ - - @override - def __init__( - self, - sketch_pad_id: str, - redis_host: str = "localhost", - redis_port: int = 6379, - redis_db: int = 0, - file_path: Optional[str] = None, - ): - """ - Initialize RedisFileSketchPadBackend. - - Args: - sketch_pad_id: Unique SketchPad identifier - redis_host: Redis host - redis_port: Redis port - redis_db: Redis database - file_path: File path used for persisting data - """ - - self.sketch_pad_id = sketch_pad_id - self.file_path = file_path or f"sketch_pads/sketch_{sketch_pad_id}.json" - self.redis_host = redis_host - self.redis_port = redis_port - self.redis_db = redis_db - self.redis: Redis = Redis(host=self.redis_host, port=self.redis_port, db=self.redis_db) - - self._lock = threading.RLock() - self._restore_from_storage() - - # ---- Redis typed helpers (to avoid Awaitable union types in stubs) ---- - def _redis_get(self, key: str) -> Optional[bytes]: - raw = cast(Any, self.redis.get(key)) - return cast(Optional[bytes], raw) - - def _redis_keys(self, pattern: str) -> List[bytes]: - raw = cast(Any, self.redis.keys(pattern)) - return cast(List[bytes], raw) - - def _redis_smembers(self, key: str) -> Set[bytes]: - raw = cast(Any, self.redis.smembers(key)) - return cast(Set[bytes], raw) - - def _redis_delete(self, *keys: Union[str, bytes]) -> int: - raw = cast(Any, self.redis.delete(*keys)) - return cast(int, raw) - - def _redis_exists(self, key: str) -> int: - raw = cast(Any, self.redis.exists(key)) - return cast(int, raw) - - def _restore_from_storage(self) -> None: - """Restore from storage.""" - with self._lock: - if self.file_path is None: - return - if os.path.exists(self.file_path): - try: - with open(self.file_path, "r", encoding="utf-8") as f: - data = json.load(f) - self.deserialize(data) - except Exception as e: - print(f"Warning: Failed to restore from file: {e}") - - def _get_redis_key(self, key: str) -> str: - """Get the Redis key name.""" - return f"sketch_pad:{self.sketch_pad_id}:{key}" - - def _get_content_hash(self, value: Any) -> str: - """Compute the hash value of the content.""" - content_str = json.dumps(value, sort_keys=True, ensure_ascii=False) - return hashlib.md5(content_str.encode('utf-8')).hexdigest() - - @override - async def set_item( - self, - key: str, - value: Any, - ttl: Optional[int] = None, - summary: Optional[str] = None, - tags: Optional[Set[str]] = None, - ) -> str: - """ - Set a key-value pair. - - Args: - key: Key - value: Value - ttl: Expiration time in seconds - summary: Summary - tags: Tags - """ - with self._lock: - # Create SketchPadItem. - item = SketchPadItem( - value=value, - timestamp=datetime.now(), - summary=summary, - tags=tags or set(), - expires_at=datetime.now() + timedelta(seconds=ttl) if ttl else None, - content_hash=self._get_content_hash(value), - ) - - # Store in Redis. - item_json = item.model_dump_json() - redis_key = self._get_redis_key(key) - self.redis.set(redis_key, item_json) - - # Set expiration time. - if ttl: - self.redis.expire(redis_key, ttl) - - # Update tag index. - if tags: - for tag in tags: - tag_key = self._get_redis_key(f"tag:{tag}") - self.redis.sadd(tag_key, key) - - return key - - @override - def get_item(self, key: str) -> Optional[SketchPadItem]: - """Get complete item information.""" - with self._lock: - item_json_opt = self._redis_get(self._get_redis_key(key)) - if item_json_opt is None: - return None - - try: - item_bytes = cast(bytes, item_json_opt) - item = SketchPadItem.model_validate_json(item_bytes) - # Update access information. - item.access_count += 1 - item.last_accessed = datetime.now() - - # Update access information in Redis. - item_json_str: str = item.model_dump_json() - self.redis.set(self._get_redis_key(key), item_json_str) - - return item - except Exception as e: - print(f"Warning: Failed to deserialize item: {e}") - return None - - @override - def get_value(self, key: str) -> Any: - """Get only the value.""" - item = self.get_item(key) - return item.value if item else None - - @override - def search_by_tags( - self, tags: Set[str], match_all: bool = False - ) -> List[Tuple[str, SketchPadItem]]: - """Search by tags.""" - with self._lock: - results: List[Tuple[str, SketchPadItem]] = [] - - if match_all: - # Must match all tags. - if not tags: - return results - - # Get all keys for the first tag. - first_tag = list(tags)[0] - tag_key = self._get_redis_key(f"tag:{first_tag}") - candidate_keys = self._redis_smembers(tag_key) - - # Check whether each candidate key contains all tags. - for cand_key in candidate_keys: - cand_key_str: str = cand_key.decode('utf-8') - item = self.get_item(cand_key_str) - if item and tags.issubset(item.tags): - results.append((cand_key_str, item)) - else: - # Match any tag. - for tag in tags: - tag_key = self._get_redis_key(f"tag:{tag}") - keys = self._redis_smembers(tag_key) - - for member_key in keys: - member_key_str: str = member_key.decode('utf-8') - item = self.get_item(member_key_str) - if item and (member_key_str, item) not in results: - results.append((member_key_str, item)) - - return results - - @override - def search_by_content( - self, query: str, limit: int = 5 - ) -> List[Tuple[str, SketchPadItem]]: - """Simple content-based search.""" - with self._lock: - results: List[Tuple[str, SketchPadItem]] = [] - query_lower = query.lower() - - # Get all keys, but filter out tag index keys. - pattern = self._get_redis_key("*") - all_keys = self._redis_keys(pattern) - - for key in all_keys: - redis_key_string: str = key.decode('utf-8') - # Filter out tag index keys. - if ":tag:" in redis_key_string: - continue - - # Extract the original key name. - original_key = redis_key_string.split(":", 2)[-1] - - item = self.get_item(original_key) - if item: - # Search value, summary, and tags. - searchable_text = "" - if isinstance(item.value, str): - searchable_text += item.value + " " - if item.summary: - searchable_text += item.summary + " " - if item.tags: - searchable_text += " ".join(item.tags) + " " - - if query_lower in searchable_text.lower(): - results.append((original_key, item)) - if len(results) >= limit: - break - - return results - - @override - def delete(self, key: str) -> bool: - """Delete a key-value pair.""" - with self._lock: - # Get the item to delete tag indexes. - item = self.get_item(key) - if item and item.tags: - for tag in item.tags: - tag_key = self._get_redis_key(f"tag:{tag}") - self.redis.srem(tag_key, key) - - # Delete the primary key. - redis_key = self._get_redis_key(key) - result = self._redis_delete(redis_key) - return result > 0 - - @override - def exists(self, key: str) -> bool: - """Check whether a key exists.""" - with self._lock: - exists_count = self._redis_exists(self._get_redis_key(key)) - return exists_count > 0 - - @override - def keys(self, pattern: Optional[str] = None) -> List[str]: - """Get all key names.""" - with self._lock: - redis_pattern = self._get_redis_key(pattern or "*") - keys = self._redis_keys(redis_pattern) - - # Extract the original key name. - result: List[str] = [] - for key in keys: - redis_key_str_list: str = key.decode('utf-8') - original_key = redis_key_str_list.split(":", 2)[-1] - result.append(original_key) - - return result - - @override - def clear(self) -> None: - """Clear all data.""" - with self._lock: - # Get all keys. - pattern = self._get_redis_key("*") - keys = self._redis_keys(pattern) - - # Delete all keys. - if keys: - self._redis_delete(*keys) - - @override - def serialize(self) -> Dict[str, Any]: - """Serialize to a dictionary for saving to file.""" - with self._lock: - data: Dict[str, Any] = { - "sketch_pad_id": self.sketch_pad_id, - "items": {}, - "serialization_timestamp": datetime.now().isoformat(), - } - - # Serialize all items, but filter out tag index keys. - pattern = self._get_redis_key("*") - all_keys = self._redis_keys(pattern) - - for key in all_keys: - redis_key_str_ser: str = key.decode('utf-8') - # Filter out tag index keys. - if ":tag:" in redis_key_str_ser: - continue - - # Extract the original key name. - original_key = redis_key_str_ser.split(":", 2)[-1] - - item = self.get_item(original_key) - if item: - data["items"][original_key] = item.model_dump() - - return data - - @override - def deserialize(self, data: Dict[str, Any]) -> None: - """Deserialize from a dictionary for loading from file.""" - with self._lock: - if "items" in data: - for key, item_data in data["items"].items(): - try: - item = SketchPadItem(**item_data) - item_json = item.model_dump_json() - self.redis.set(self._get_redis_key(key), item_json) - - # Restore tag indexes. - if item.tags: - for tag in item.tags: - tag_key = self._get_redis_key(f"tag:{tag}") - self.redis.sadd(tag_key, key) - except Exception as e: - print(f"Warning: Failed to deserialize item {key}: {e}") - - @override - def persist(self) -> None: - """Persist data.""" - try: - # Ensure the directory exists. - dir_path = os.path.dirname(self.file_path) - if dir_path: - os.makedirs(dir_path, exist_ok=True) - - # Serialize data. - data = self.serialize() - - # Write to file. - with open(self.file_path, "w", encoding="utf-8") as f: - json.dump(data, f, ensure_ascii=False, indent=2, default=str) - except Exception as e: - print(f"Warning: Failed to persist sketch pad: {e}") - - @override - def restore(self) -> None: - """Restore from persisted data.""" - if not os.path.exists(self.file_path): - return - - try: - with open(self.file_path, "r", encoding="utf-8") as f: - data = json.load(f) - - self.deserialize(data) - except Exception as e: - print(f"Warning: Failed to restore sketch pad: {e}") - - def get_statistics(self) -> SketchPadStatistics: - """Get statistics.""" - with self._lock: - # Get only actual data keys, excluding tag index keys. - pattern = self._get_redis_key("*") - all_keys = self._redis_keys(pattern) - data_keys: List[str] = [] - - for key in all_keys: - redis_key_str_stats: str = key.decode('utf-8') - # Filter out tag index keys. - if not redis_key_str_stats.endswith(":tag:") and ":tag:" not in redis_key_str_stats: - original_key = redis_key_str_stats.split(":", 2)[-1] - data_keys.append(original_key) - - total_items = len(data_keys) - total_accesses = 0 - items_with_summary = 0 - popular_tags: Dict[str, int] = {} - content_types: Dict[str, int] = {} - - for data_key in data_keys: - item = self.get_item(data_key) - if item: - total_accesses += item.access_count - if item.summary: - items_with_summary += 1 - - # Count tags. - for tag in item.tags: - popular_tags[tag] = popular_tags.get(tag, 0) + 1 - - # Count content types. - content_types[item.content_type] = content_types.get(item.content_type, 0) + 1 - - avg_access_per_item = total_accesses / total_items if total_items > 0 else 0 - memory_usage_percent = (total_items / 1000) * 100 # Assume a maximum of 1000 items. - - return SketchPadStatistics( - total_items=total_items, - max_items=1000, - items_with_summary=items_with_summary, - total_accesses=total_accesses, - popular_tags=popular_tags, - content_types=content_types, - avg_access_per_item=avg_access_per_item, - memory_usage_percent=memory_usage_percent, - ) - - def list_items(self, include_value: bool = False) -> List[SketchPadListItem]: - """List all items.""" - with self._lock: - items: List[SketchPadListItem] = [] - # Get all keys, but filter out tag index keys. - pattern = self._get_redis_key("*") - all_keys = self._redis_keys(pattern) - - for key in all_keys: - redis_key_str_list_items: str = key.decode('utf-8') - # Filter out tag index keys. - if ":tag:" in redis_key_str_list_items: - continue - - # Extract the original key name. - original_key = redis_key_str_list_items.split(":", 2)[-1] - - item = self.get_item(original_key) - if item: - list_item = SketchPadListItem( - key=original_key, - summary=item.summary, - timestamp=item.timestamp.isoformat(), - tags=list(item.tags), - content_type=item.content_type, - access_count=item.access_count, - content_hash=item.content_hash, - value=item.value if include_value else None, - ) - items.append(list_item) - - return items - diff --git a/CADDesigner-Code/docker/Dockerfile b/CADDesigner-Code/docker/Dockerfile deleted file mode 100644 index 273c691..0000000 --- a/CADDesigner-Code/docker/Dockerfile +++ /dev/null @@ -1,78 +0,0 @@ -# Use Python 3.12 as the base image (satisfies requires-python >=3.12). -# Force the amd64 architecture to obtain an available `cadquery-ocp` wheel; Linux aarch64 has no official wheel. -FROM --platform=linux/amd64 python:3.12-slim - -# Set the working directory. -WORKDIR /app - -# Set environment variables. -ENV PYTHONPATH=/app -ENV PYTHONUNBUFFERED=1 -ENV DEBIAN_FRONTEND=noninteractive - -RUN set -e; . /etc/os-release; \ - codename="${VERSION_CODENAME}"; \ - printf 'deb https://mirrors.ustc.edu.cn/debian/ %s main contrib non-free non-free-firmware\n' "$codename" > /etc/apt/sources.list; \ - printf 'deb https://mirrors.ustc.edu.cn/debian/ %s-updates main contrib non-free non-free-firmware\n' "$codename" >> /etc/apt/sources.list; \ - printf 'deb https://mirrors.ustc.edu.cn/debian-security %s-security main contrib non-free non-free-firmware\n' "$codename" >> /etc/apt/sources.list; \ - printf 'deb https://mirrors.ustc.edu.cn/debian/ %s-backports main contrib non-free non-free-firmware\n' "$codename" >> /etc/apt/sources.list - -# Install system dependencies, including OpenGL runtime libraries for libGL.so.1. -RUN apt-get update && apt-get install -y \ - build-essential \ - curl \ - git \ - # OpenGL/GLX/EGL runtime libraries commonly needed by VTK/Qt/pyvista. - libgl1 \ - libglib2.0-0 \ - libsm6 \ - libxext6 \ - libxrender1 \ - libglu1-mesa \ - libglx-mesa0 \ - libegl1 \ - # Headless rendering with Xvfb. - xvfb \ - xauth \ - libx11-6 \ - libxkbcommon0 \ - fonts-dejavu-core \ - && rm -rf /var/lib/apt/lists/* - -ENV TMPDIR=/app/tmp -RUN mkdir -p /app/tmp && chmod 1777 /app/tmp - - -# Copy only exported requirements to maximize layer caching. -COPY requirements.txt ./ - -# requirements.txt is automatically exported from uv.lock in pre-commit. -RUN export PIP_INDEX_URL="https://mirrors.ustc.edu.cn/pypi/web/simple" \ - && pip install --no-cache-dir -r requirements.txt - -ENV DISPLAY=:99 -ENV PYVISTA_OFF_SCREEN=true -ENV PYVISTA_USE_PANEL=false -ENV QT_QPA_PLATFORM=offscreen -ENV MPLBACKEND=Agg -ENV LIBGL_ALWAYS_SOFTWARE=1 - -# Copy project files. -COPY . . - -# Create required directories. -RUN mkdir -p /app/data /app/logs /app/workspace - -# Set permissions. -RUN chmod +x /app/start_caddesigner_api.py - -# Copy and configure the entrypoint script to provide Xvfb headless rendering for the API service. -COPY docker/entrypoint.sh /app/entrypoint.sh -RUN chmod +x /app/entrypoint.sh - -# Expose the API port. -EXPOSE 8000 - -# The entrypoint script starts Xvfb and then executes the final command. -ENTRYPOINT ["/app/entrypoint.sh"] -# Start the API by default. diff --git a/CADDesigner-Code/docker/Dockerfile.frontend b/CADDesigner-Code/docker/Dockerfile.frontend deleted file mode 100644 index 26e7d25..0000000 --- a/CADDesigner-Code/docker/Dockerfile.frontend +++ /dev/null @@ -1,17 +0,0 @@ -FROM node:22-bookworm-slim - -WORKDIR /app/frontend - -ENV CI=true - -COPY frontend/package.json frontend/pnpm-lock.yaml ./ - -RUN corepack enable \ - && corepack prepare pnpm@10.29.3 --activate \ - && pnpm install --frozen-lockfile - -COPY frontend/ ./ - -EXPOSE 7860 - -CMD ["sh", "-lc", "pnpm dev --host 0.0.0.0 --port 7860 --strictPort"] diff --git a/CADDesigner-Code/docker/docker-compose.redis.yml b/CADDesigner-Code/docker/docker-compose.redis.yml deleted file mode 100644 index fc88699..0000000 --- a/CADDesigner-Code/docker/docker-compose.redis.yml +++ /dev/null @@ -1,21 +0,0 @@ -services: - # Start Redis only for local development integration. - simplecad_redis_dev: - image: redis:7-alpine - container_name: simplecad_redis_dev - restart: unless-stopped - ports: - - "9736:9736" - volumes: - - simplecad_redis_data:/data/simplecad_redis - - ./redis.conf:/usr/local/etc/redis/redis.conf:ro - command: redis-server /usr/local/etc/redis/redis.conf - healthcheck: - test: ["CMD", "redis-cli", "-p", "9736", "ping"] - interval: 10s - timeout: 5s - retries: 5 - -volumes: - simplecad_redis_data: - driver: local diff --git a/CADDesigner-Code/docker/docker-compose.yml b/CADDesigner-Code/docker/docker-compose.yml deleted file mode 100644 index 924db1f..0000000 --- a/CADDesigner-Code/docker/docker-compose.yml +++ /dev/null @@ -1,88 +0,0 @@ -services: - # Redis service. - simplecad_redis: - image: redis:7-alpine - container_name: simplecad_redis - restart: unless-stopped - ports: - - "9736:9736" - volumes: - - simplecad_redis_data:/data/simplecad_redis - - ./redis.conf:/usr/local/etc/redis/redis.conf:ro - command: redis-server /usr/local/etc/redis/redis.conf - networks: - - simplecad_network - healthcheck: - test: ["CMD", "redis-cli", "-p", "9736", "ping"] - interval: 10s - timeout: 5s - retries: 5 - - # API service. - simplecad_api: - build: - context: .. - dockerfile: docker/Dockerfile - platform: linux/amd64 - container_name: simplecad_api - restart: unless-stopped - ports: - - "8000:8000" - env_file: - - ${CADDESIGNER_DOCKER_ENV_FILE:-.env} - environment: - - REDIS_HOST=simplecad_redis - - REDIS_PORT=9736 - - REDIS_DB=0 - - LOG_LEVEL=WARNING - volumes: - - app_data:/app/data - - app_logs:/app/logs - - app_workspace:/app/workspace - - ./provider.json:/app/config/provider.json:ro - depends_on: - simplecad_redis: - condition: service_healthy - command: ["python", "start_caddesigner_api.py", "--host", "0.0.0.0", "--port", "8000", "--working-dir", "/app/workspace"] - networks: - - simplecad_network - healthcheck: - test: ["CMD", "curl", "-f", "http://localhost:8000/health"] - interval: 15s - timeout: 5s - retries: 5 - start_period: 40s - # Linux compatibility: allow the container to resolve the host machine domain. - extra_hosts: - - "host.docker.internal:host-gateway" - - # React Web UI service. - simplecad_webui: - build: - context: .. - dockerfile: docker/Dockerfile.frontend - container_name: simplecad_webui - restart: unless-stopped - ports: - - "7860:7860" - environment: - - CADDESIGNER_API_PROXY_TARGET=http://simplecad_api:8000 - depends_on: - simplecad_api: - condition: service_healthy - networks: - - simplecad_network - -volumes: - simplecad_redis_data: - driver: local - app_data: - driver: local - app_logs: - driver: local - app_workspace: - driver: local - -networks: - simplecad_network: - driver: bridge diff --git a/CADDesigner-Code/docker/entrypoint.sh b/CADDesigner-Code/docker/entrypoint.sh deleted file mode 100644 index b6253ef..0000000 --- a/CADDesigner-Code/docker/entrypoint.sh +++ /dev/null @@ -1,19 +0,0 @@ -#!/usr/bin/env sh -set -e - -export DISPLAY=:99 -rm -f /tmp/.X99-lock - -if ! pgrep -x Xvfb >/dev/null 2>&1; then - echo "[entrypoint] Starting Xvfb on $DISPLAY" - Xvfb $DISPLAY -screen 0 1920x1080x24 -nolisten tcp & -fi - -# Wait for Xvfb to become ready. -sleep 0.5 - -# Execute the passed command. -exec "$@" - - - diff --git a/CADDesigner-Code/docker/env.example b/CADDesigner-Code/docker/env.example deleted file mode 100644 index a86d882..0000000 --- a/CADDesigner-Code/docker/env.example +++ /dev/null @@ -1,19 +0,0 @@ -# Redis configuration -REDIS_DB=0 -REDIS_PASSWORD= -REDIS_HOST=localhost -REDIS_PORT=9736 - -# Storage directories -CONTEXT_DIR=workspace/data/contexts -CONTEXT_AUTO_SUMMARIZE_TRIGGER=1000000 -SKETCH_DIR=workspace/data/sketches - -# Logging -LOG_DIR=workspace/agent_logs -LOG_LEVEL=WARNING - -# Langfuse configuration, optional -LANGFUSE_SECRET_KEY=your_langfuse_secret_key -LANGFUSE_PUBLIC_KEY=your_langfuse_public_key -LANGFUSE_BASE_URL=https://cloud.langfuse.com diff --git a/CADDesigner-Code/docker/provider_template.json b/CADDesigner-Code/docker/provider_template.json deleted file mode 100644 index dcb80d3..0000000 --- a/CADDesigner-Code/docker/provider_template.json +++ /dev/null @@ -1,52 +0,0 @@ -{ - "volc_engine": [ - { - "model_name": "deepseek-v3-250324", - "api_keys": [ - "your_keys" - ], - "base_url": "https://ark.cn-beijing.volces.com/api/v3/", - "max_retries": 3, - "retry_delay": 1 - }, - { - "model_name": "doubao-1-5-pro-32k-250115", - "api_keys": [ - "your_keys" - ], - "base_url": "https://ark.cn-beijing.volces.com/api/v3/", - "max_retries": 3, - "retry_delay": 1 - } - ], - "openrouter": [ - { - "model_name": "z-ai/glm-5", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "google/gemini-3.1-pro-preview", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "anthropic/claude-sonnet-4.6", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - }, - { - "model_name": "google/gemini-3-flash-preview", - "api_keys": [ - "your_keys" - ], - "base_url": "https://openrouter.ai/api/v1" - } - ] -} diff --git a/CADDesigner-Code/docker/redis.conf b/CADDesigner-Code/docker/redis.conf deleted file mode 100644 index 19fcf00..0000000 --- a/CADDesigner-Code/docker/redis.conf +++ /dev/null @@ -1,52 +0,0 @@ -# Redis configuration file. -# Basic settings. -bind 0.0.0.0 -port 9736 -timeout 0 -tcp-keepalive 300 - -# Memory management. -maxmemory 256mb -maxmemory-policy allkeys-lru - -# Persistence settings. -save 900 1 -save 300 10 -save 60 10000 -stop-writes-on-bgsave-error yes -rdbcompression yes -rdbchecksum yes -dbfilename dump_backend_redis.rdb -dir /data/simplecad_redis - -# AOF settings. -appendonly yes -appendfilename "appendonly.aof" -appendfsync everysec -no-appendfsync-on-rewrite no -auto-aof-rewrite-percentage 100 -auto-aof-rewrite-min-size 64mb - -# Logging settings. -loglevel notice -logfile "" - -# Security settings. -# requirepass your_redis_password_here # Uncomment and set a password. - -# Performance optimization. -tcp-backlog 511 -databases 16 -hash-max-ziplist-entries 512 -hash-max-ziplist-value 64 -list-max-ziplist-size -2 -list-compress-depth 0 -set-max-intset-entries 512 -zset-max-ziplist-entries 128 -zset-max-ziplist-value 64 -activerehashing yes -client-output-buffer-limit normal 0 0 0 -client-output-buffer-limit slave 256mb 64mb 60 -client-output-buffer-limit pubsub 32mb 8mb 60 -hz 10 -aof-rewrite-incremental-fsync yes diff --git a/CADDesigner-Code/examples/sketch_pad_example.py b/CADDesigner-Code/examples/sketch_pad_example.py deleted file mode 100644 index 3966fba..0000000 --- a/CADDesigner-Code/examples/sketch_pad_example.py +++ /dev/null @@ -1,218 +0,0 @@ -import sys -import os -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) - -import asyncio -import tempfile -from context.sketch_pad import RedisFileSketchPadBackend - - -async def sketch_pad_example(): - """SketchPad usage example.""" - print("=== SketchPad Usage Example ===") - - # Create a temporary file. - with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as f: - temp_file = f.name - - try: - # Initialize SketchPad. - sketch_pad = RedisFileSketchPadBackend( - sketch_pad_id="example_pad", - file_path=temp_file - ) - - print("1. Storing user preference settings...") - await sketch_pad.set_item( - key="user_preferences", - value={ - "theme": "dark", - "language": "en-US", - "notifications": True, - "auto_save": True - }, - summary="User interface preference settings", - tags={"preferences", "ui", "settings"} - ) - - print("2. Storing recently accessed files...") - await sketch_pad.set_item( - key="recent_files", - value=[ - {"name": "main.py", "path": "/project/main.py", "last_accessed": "2024-01-15"}, - {"name": "config.json", "path": "/project/config.json", "last_accessed": "2024-01-14"}, - {"name": "README.md", "path": "/project/README.md", "last_accessed": "2024-01-13"} - ], - summary="List of recently accessed files", - tags={"files", "recent", "history"} - ) - - print("3. Storing temporary calculation results...") - await sketch_pad.set_item( - key="temp_calculation", - value={ - "expression": "2 + 3 * 4", - "result": 14, - "timestamp": "2024-01-15T10:30:00" - }, - summary="Temporary math calculation result", - tags={"calculation", "temp", "math"}, - ttl=300 # Expires after 5 minutes. - ) - - print("4. Storing code snippets...") - await sketch_pad.set_item( - key="code_snippet", - value={ - "language": "python", - "code": "def hello_world():\n print('Hello, World!')", - "description": "Simple Hello World function" - }, - summary="Python code snippet", - tags={"code", "python", "snippet"} - ) - - print("\n5. Querying and retrieving...") - - # Get user preferences. - preferences = sketch_pad.get_item("user_preferences") - print(f" User preferences: {preferences.value if preferences else 'Not found'}") - - # Search for items containing "file". - file_items = sketch_pad.search_by_content("file", limit=5) - print(f" Items containing 'file': {len(file_items)}") - - # Search for items with a specific tag. - recent_items = sketch_pad.search_by_tags({"recent"}) - print(f" Recent item count: {len(recent_items)}") - - # Search for items with multiple tags. - ui_items = sketch_pad.search_by_tags({"ui", "settings"}, match_all=True) - print(f" Items containing both ui and settings tags: {len(ui_items)}") - - print("\n6. Statistics...") - stats = sketch_pad.get_statistics() - print(f" Total item count: {stats.total_items}") - print(f" Total accesses: {stats.total_accesses}") - print(f" Popular tags: {stats.popular_tags}") - - print("\n7. Listing all items...") - items = sketch_pad.list_items(include_value=False) - for item in items: - print(f" - {item.key}: {item.summary} (tags: {item.tags})") - - print("\n8. Persisting data...") - sketch_pad.persist() - print(" Data saved to file") - - print("\n=== Example Complete ===") - - finally: - if os.path.exists(temp_file): - os.unlink(temp_file) - - -async def llm_integration_example(): - """Example showing SketchPad integration with an LLM.""" - print("\n=== SketchPad and LLM Integration Example ===") - - with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as f: - temp_file = f.name - - try: - sketch_pad = RedisFileSketchPadBackend( - sketch_pad_id="llm_memory", - file_path=temp_file - ) - - print("1. Storing LLM conversation context...") - await sketch_pad.set_item( - key="conversation_context", - value={ - "user_intent": "Create a Python function to calculate the Fibonacci sequence", - "current_step": "Implementing the function logic", - "requirements": ["recursive implementation", "performance optimization", "error handling"], - "code_progress": "def fibonacci(n):\n if n <= 1:\n return n\n return fibonacci(n-1) + fibonacci(n-2)" - }, - summary="LLM conversation context - Fibonacci function development", - tags={"llm", "conversation", "python", "fibonacci", "development"} - ) - - print("2. Storing user feedback...") - await sketch_pad.set_item( - key="user_feedback", - value={ - "feedback_type": "positive", - "message": "The function works well, but it could use some comments", - "suggestions": ["add a docstring", "add type hints", "add examples"], - "timestamp": "2024-01-15T11:00:00" - }, - summary="User feedback on the Fibonacci function", - tags={"feedback", "user", "improvement"} - ) - - print("3. Storing code version...") - await sketch_pad.set_item( - key="code_version_1", - value={ - "version": "1.0", - "code": "def fibonacci(n):\n \"\"\"Calculate the nth term of the Fibonacci sequence.\"\"\"\n if n <= 1:\n return n\n return fibonacci(n-1) + fibonacci(n-2)", - "features": ["basic recursive implementation", "simple error handling"], - "performance": "O(2^n) time complexity" - }, - summary="Fibonacci function version 1.0", - tags={"code", "version", "fibonacci", "recursive"} - ) - - print("\n4. LLM query example...") - - # Simulate an LLM querying related context. - context_items = sketch_pad.search_by_tags({"llm", "conversation"}) - print(f" Found {len(context_items)} conversation context items") - - # Simulate an LLM querying user feedback. - feedback_items = sketch_pad.search_by_content("feedback", limit=3) - print(f" Found {len(feedback_items)} feedback-related items") - - # Simulate an LLM querying code versions. - code_items = sketch_pad.search_by_tags({"code", "version"}) - print(f" Found {len(code_items)} code version items") - - print("\n5. Building LLM context...") - context_parts = [] - - # Get conversation context. - conv_context = sketch_pad.get_item("conversation_context") - if conv_context: - context_parts.append(f"Conversation context: {conv_context.value}") - - # Get user feedback. - feedback = sketch_pad.get_item("user_feedback") - if feedback: - context_parts.append(f"User feedback: {feedback.value}") - - # Get the latest code version. - code_version = sketch_pad.get_item("code_version_1") - if code_version: - context_parts.append(f"Current code: {code_version.value}") - - print(" Constructed LLM context:") - for i, part in enumerate(context_parts, 1): - print(f" {i}. {part[:100]}...") - - print("\n=== LLM Integration Example Complete ===") - - finally: - if os.path.exists(temp_file): - os.unlink(temp_file) - - -async def main(): - """Main function.""" - await sketch_pad_example() - await llm_integration_example() - print("\nAll examples complete!") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/CADDesigner-Code/frontend/.gitignore b/CADDesigner-Code/frontend/.gitignore deleted file mode 100644 index a547bf3..0000000 --- a/CADDesigner-Code/frontend/.gitignore +++ /dev/null @@ -1,24 +0,0 @@ -# Logs -logs -*.log -npm-debug.log* -yarn-debug.log* -yarn-error.log* -pnpm-debug.log* -lerna-debug.log* - -node_modules -dist -dist-ssr -*.local - -# Editor directories and files -.vscode/* -!.vscode/extensions.json -.idea -.DS_Store -*.suo -*.ntvs* -*.njsproj -*.sln -*.sw? diff --git a/CADDesigner-Code/frontend/README.md b/CADDesigner-Code/frontend/README.md deleted file mode 100644 index c327d00..0000000 --- a/CADDesigner-Code/frontend/README.md +++ /dev/null @@ -1,46 +0,0 @@ -# CADDesigner React UI - -This directory contains the standalone TypeScript + React frontend for the CADDesigner project. - -## What It Includes - -- A collapsible session sidebar with conversation stats and history -- A left-side chat timeline that interleaves assistant text and tool calls in event order -- A right-side workbench with a resizable 3D preview pane and code viewer -- Native streaming from the backend `POST /v1/chat/events` SSE endpoint -- A Vite dev proxy for `/health` and `/v1/*` - -## Run It - -For the standard local workflow from the repo root, use the startup scripts: - -```bash -uv run python start_caddesigner_full.py -``` - -If you are working on the frontend itself, start the FastAPI backend first on -`http://127.0.0.1:8000`, then run: - -```bash -pnpm install -pnpm dev -``` - -The direct Vite dev server runs on `http://127.0.0.1:4173` by default. - -The wrapper script `start_caddesigner_ui.py` starts the same frontend on -`http://127.0.0.1:7860` and auto-installs dependencies when `node_modules/` -is missing. - -## Build It - -```bash -pnpm build -``` - -## Notes - -- `frontend/.gitignore` ignores local frontend build artifacts like `node_modules/` and `dist/`. -- The startup scripts prefer `pnpm`; they fall back to `npm` only if `pnpm` is unavailable. -- The current 3D viewport focuses on STL previews, which matches the agent's main output flow. -- Model preview assets are loaded through the backend artifact endpoints added under `/v1/conversations/{conversation_id}/artifacts/*`. diff --git a/CADDesigner-Code/frontend/eslint.config.js b/CADDesigner-Code/frontend/eslint.config.js deleted file mode 100644 index 5e6b472..0000000 --- a/CADDesigner-Code/frontend/eslint.config.js +++ /dev/null @@ -1,23 +0,0 @@ -import js from '@eslint/js' -import globals from 'globals' -import reactHooks from 'eslint-plugin-react-hooks' -import reactRefresh from 'eslint-plugin-react-refresh' -import tseslint from 'typescript-eslint' -import { defineConfig, globalIgnores } from 'eslint/config' - -export default defineConfig([ - globalIgnores(['dist']), - { - files: ['**/*.{ts,tsx}'], - extends: [ - js.configs.recommended, - tseslint.configs.recommended, - reactHooks.configs.flat.recommended, - reactRefresh.configs.vite, - ], - languageOptions: { - ecmaVersion: 2020, - globals: globals.browser, - }, - }, -]) diff --git a/CADDesigner-Code/frontend/index.html b/CADDesigner-Code/frontend/index.html deleted file mode 100644 index 0fca6f0..0000000 --- a/CADDesigner-Code/frontend/index.html +++ /dev/null @@ -1,13 +0,0 @@ - - - - - - - frontend - - -

- - - diff --git a/CADDesigner-Code/frontend/package.json b/CADDesigner-Code/frontend/package.json deleted file mode 100644 index 9e3bf55..0000000 --- a/CADDesigner-Code/frontend/package.json +++ /dev/null @@ -1,41 +0,0 @@ -{ - "name": "frontend", - "private": true, - "version": "0.0.0", - "packageManager": "pnpm@10.29.3", - "type": "module", - "scripts": { - "dev": "vite", - "build": "tsc -b && vite build", - "lint": "eslint .", - "preview": "vite preview" - }, - "dependencies": { - "@react-three/drei": "^10.7.7", - "@react-three/fiber": "^9.5.0", - "lucide-react": "^0.577.0", - "react": "^19.2.4", - "react-dom": "^19.2.4", - "react-markdown": "^10.1.0", - "react-resizable-panels": "^4.7.3", - "react-syntax-highlighter": "^16.1.1", - "remark-gfm": "^4.0.1", - "three": "^0.183.2" - }, - "devDependencies": { - "@eslint/js": "^9.39.4", - "@types/node": "^24.12.0", - "@types/react": "^19.2.14", - "@types/react-dom": "^19.2.3", - "@types/react-syntax-highlighter": "^15.5.13", - "@types/three": "^0.183.1", - 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opacity: 1; -} - -.conversation-delete-button:hover { - border-color: #6e4b49; - color: #efac9e; -} - -.conversation-delete-button:disabled { - opacity: 0.55; - cursor: default; -} - -.conversation-item.is-active, -.rail-item.is-active { - border-color: var(--accent-line); - background: var(--surface-active); -} - -.conversation-item-primary { - display: flex; - align-items: center; - justify-content: space-between; - gap: 0.75rem; -} - -.conversation-item-primary strong { - font-size: 0.84rem; - font-weight: 600; -} - -.conversation-item-secondary { - margin-top: 0.2rem; -} - -.empty-card { - padding: 0.85rem; - border: 1px dashed var(--line); - border-radius: 0.55rem; - color: var(--muted); - font-size: 0.84rem; -} - -.rail-list { - display: flex; - flex: 1; - flex-direction: column; - gap: 0.5rem; -} - -.rail-item { - width: 100%; - height: 2.25rem; - font-size: 0.78rem; - text-transform: uppercase; -} - -.workspace-shell { - flex: 1; - min-width: 0; - min-height: 0; - height: 100%; - padding: 0.875rem; - overflow: hidden; -} - -.workspace-panels, -.main-panel-group, -.workbench-group, -.panel-shell, -.chat-panel-shell, -.workbench-panel, -.workbench-content, -.viewport-panel-content, -.code-panel-content, -.model-canvas-shell { - min-height: 0; -} - -.workspace-panels, -.main-panel-group, -.workbench-group, -.chat-panel-shell { - height: 100%; -} - -.panel-shell { - display: flex; - flex-direction: column; - gap: 0.75rem; - height: 100%; - padding: 0.875rem; - border: 1px solid var(--line); - background: var(--surface); -} - -.panel-header { - display: flex; - align-items: center; - justify-content: space-between; - gap: 0.75rem; -} - -.panel-header-actions { - display: flex; - align-items: center; - justify-content: flex-end; - gap: 0.5rem; - flex-wrap: wrap; -} - -.panel-title-group { - min-width: 0; -} - -.panel-title-group h2 { - margin: 0; - font-size: 0.95rem; - font-weight: 600; -} - -.panel-caption { - margin: 0.1rem 0 0; -} - -.model-select { - display: flex; - align-items: center; - gap: 0.5rem; - font-size: 0.8rem; - color: var(--muted); -} - -.artifact-picker { - min-width: 0; -} - -.model-select select { - padding: 0.45rem 0.6rem; - border-radius: 0.45rem; - appearance: none; - font: inherit; -} - -.artifact-picker select { - max-width: min(22rem, 46vw); -} - -.download-link { - display: inline-flex; - align-items: center; - justify-content: center; - padding: 0.45rem 0.65rem; - border-radius: 0.45rem; - text-decoration: none; - font-size: 0.8rem; -} - -.chat-timeline { - display: flex; - flex: 1; - flex-direction: column; - gap: 1rem; - padding-right: 0.1rem; -} - -.turn { - display: grid; - gap: 0.65rem; -} - -.bubble, -.tool-card, -.chat-composer, -.error-banner, -.code-scroll-shell, -.empty-state { - border: 1px solid var(--line); - background: var(--surface-soft); -} - -.bubble, -.tool-card, -.chat-composer, -.error-banner, -.empty-state, -.code-scroll-shell { - border-radius: 0.55rem; -} - -.bubble { - padding: 0.8rem 0.9rem; - transition: - border-color 220ms var(--motion-soft), - background-color 220ms var(--motion-soft), - transform 260ms var(--motion-emphasized), - box-shadow 260ms var(--motion-soft); -} - -.bubble-user { - max-width: min(40rem, 84%); - justify-self: end; - background: #161c24; -} - -.bubble-assistant { - max-width: min(46rem, 92%); -} - -.bubble-thinking { - border-style: dashed; - position: relative; - overflow: hidden; - background: - radial-gradient(circle at top left, rgba(143, 197, 255, 0.12), transparent 46%), - linear-gradient(180deg, rgba(18, 24, 31, 0.92), rgba(14, 19, 25, 0.88)); - animation: thinking-breath 1800ms var(--motion-soft) infinite; -} - -.bubble-thinking::after { - content: ''; - position: absolute; - inset: -1px; - background: linear-gradient( - 105deg, - transparent 0%, - transparent 34%, - rgba(255, 255, 255, 0.03) 48%, - transparent 62%, - transparent 100% - ); - transform: translateX(-120%); - animation: thinking-sheen 2400ms var(--motion-emphasized) infinite; - pointer-events: none; -} - -.thinking-indicator { - display: grid; - gap: 0.45rem; -} - -.thinking-indicator-line { - display: inline-flex; - align-items: center; - gap: 0.5rem; -} - -.thinking-indicator-text { - font-weight: 500; - letter-spacing: 0.01em; -} - -.thinking-indicator-dots { - display: inline-flex; - align-items: center; - gap: 0.28rem; -} - -.thinking-indicator-dot { - width: 0.38rem; - height: 0.38rem; - border-radius: 999px; - background: rgba(184, 220, 255, 0.92); - box-shadow: 0 0 0.55rem rgba(143, 197, 255, 0.35); - animation: thinking-dot-pulse 960ms var(--motion-snappy) infinite; -} - -.thinking-indicator-dot:nth-child(2) { - animation-delay: 120ms; -} - -.thinking-indicator-dot:nth-child(3) { - animation-delay: 240ms; -} - -.thinking-indicator p { - margin: 0; - color: var(--muted); - font-size: 0.82rem; - line-height: 1.6; - max-width: 34rem; -} - -.bubble-role { - display: inline-block; - margin-bottom: 0.4rem; - text-transform: uppercase; - letter-spacing: 0.08em; - font-size: 0.68rem; -} - -.bubble p { - margin: 0; - line-height: 1.65; -} - -.assistant-sequence { - display: flex; - flex-direction: column; - gap: 0.55rem; -} - -.markdown-body { - line-height: 1.7; - transform-origin: left top; -} - -.markdown-body p, -.markdown-body ul, -.markdown-body ol, -.markdown-body pre, -.markdown-body blockquote { - margin: 0 0 0.85rem; -} - -.markdown-body > :last-child { - margin-bottom: 0; -} - -.markdown-body pre, -.tool-card-body pre { - margin: 0; - padding: 0.75rem; - border: 1px solid var(--line); - border-radius: 0.45rem; - background: #0f141a; - overflow: auto; - font-family: 'IBM Plex Mono', 'SFMono-Regular', Consolas, monospace; - white-space: pre-wrap; - word-break: break-word; -} - -.tool-card-body pre { - font-size: 0.74rem; - line-height: 1.45; -} - -.tool-card { - max-width: min(46rem, 92%); - overflow: hidden; - transform-origin: top left; - transition: - border-color 240ms var(--motion-soft), - background-color 240ms var(--motion-soft), - transform 300ms var(--motion-emphasized), - box-shadow 300ms var(--motion-soft); -} - -.reasoning-card { - max-width: min(46rem, 92%); - overflow: hidden; - border: 1px dashed rgba(143, 197, 255, 0.42); - border-radius: 0.55rem; - background: rgba(143, 197, 255, 0.08); - transform-origin: top left; - transition: - border-color 240ms var(--motion-soft), - background-color 240ms var(--motion-soft), - transform 300ms var(--motion-emphasized), - box-shadow 300ms var(--motion-soft); -} - -.reasoning-card-summary, -.tool-card-summary, -.tool-nested-summary { - width: 100%; - border: 0; - background: transparent; - color: inherit; - font: inherit; - text-align: left; -} - -.reasoning-card-summary { - display: flex; - align-items: center; - justify-content: space-between; - gap: 0.75rem; - list-style: none; - cursor: pointer; - padding: 0.7rem 0.85rem; - transition: padding 260ms var(--motion-emphasized); -} - -.reasoning-card-title { - display: inline-flex; - align-items: center; - gap: 0.55rem; -} - -.reasoning-card-title strong { - font-size: 0.8rem; - color: #b8dcff; -} - -.reasoning-card-body-wrap { - height: 0; - opacity: 0; - transform: translateY(-0.25rem) scaleY(0.985); - transform-origin: top; - overflow: hidden; - will-change: height, opacity, transform; - transition: - height 420ms var(--motion-emphasized), - opacity 260ms var(--motion-soft), - transform 420ms var(--motion-emphasized); -} - -.reasoning-card.is-open .reasoning-card-body-wrap { - opacity: 1; - transform: translateY(0) scaleY(1); -} - -.reasoning-card-body { - min-height: 0; - overflow: hidden; - padding: 0 0.85rem 0.85rem; -} - -.tool-card-summary { - display: flex; - align-items: center; - justify-content: space-between; - gap: 0.75rem; - list-style: none; - cursor: pointer; - padding: 0.75rem 0.85rem; - transition: padding 280ms var(--motion-emphasized); -} - -.tool-card.is-open { - border-color: var(--line-strong); - box-shadow: 0 18px 36px rgba(6, 10, 14, 0.16); - transform: translateY(-0.05rem); -} - -.tool-card-title-row, -.tool-card-title { - display: flex; - align-items: center; - gap: 0.6rem; -} - -.tool-card-title-row { - width: 100%; - justify-content: space-between; -} - -.tool-card-title strong { - font-size: 0.84rem; -} - -.tool-status-pill { - display: inline-flex; - align-items: center; - gap: 0.35rem; - padding: 0.2rem 0.45rem; - border: 1px solid var(--line); - border-radius: 0.4rem; - font-size: 0.74rem; - color: var(--muted); -} - -.tool-status-pill.is-running, -.tool-status-pill.is-pending { - color: #8fc5ff; -} - -.tool-status-pill.is-completed { - color: #96d7b5; -} - -.tool-status-pill.is-error { - color: #efac9e; -} - -.tool-card-chevron { - color: var(--muted); - transition: transform 260ms var(--motion-snappy), color 180ms var(--motion-soft); -} - -.tool-card.is-open .tool-card-chevron { - transform: rotate(180deg); -} - -.tool-card-body { - display: grid; - gap: 0.75rem; - padding: 0 0.85rem 0.85rem; -} - -.tool-card-body-wrap { - height: 0; - opacity: 0; - transform: translateY(-0.25rem) scaleY(0.985); - transform-origin: top; - overflow: hidden; - will-change: height, opacity, transform; - transition: - height 420ms var(--motion-emphasized), - opacity 240ms var(--motion-soft), - transform 420ms var(--motion-emphasized); -} - -.tool-card.is-open .tool-card-body-wrap { - opacity: 1; - transform: translateY(0) scaleY(1); -} - -.tool-card-body-wrap > .tool-card-body { - min-height: 0; - overflow: hidden; -} - -.tool-card-section { - display: grid; - gap: 0.35rem; -} - -.tool-nested-list { - display: grid; - gap: 0.45rem; -} - -.tool-card-middle-sequence { - display: grid; - gap: 0.55rem; -} - -.bubble-tool-inline, -.tool-inline-reasoning { - max-width: 100%; -} - -.bubble-tool-inline { - background: #12171d; -} - -.bubble-tool-inline .bubble-role { - color: #96d7b5; -} - -.bubble-tool-inline .markdown-body > :first-child, -.tool-inline-reasoning .markdown-body > :first-child { - margin-top: 0; -} - -.stream-delta { - display: inline; - animation: stream-delta-in 900ms var(--motion-emphasized) both; - will-change: opacity, filter; -} - -.tool-nested-item { - border: 1px solid var(--line); - border-radius: 0.45rem; - background: #12171d; - overflow: hidden; -} - -.tool-nested-item.is-response { - border-color: rgba(150, 215, 181, 0.32); - background: rgba(150, 215, 181, 0.08); -} - -.tool-nested-item.is-reasoning { - border-color: rgba(143, 197, 255, 0.34); - background: rgba(143, 197, 255, 0.08); -} - -.tool-nested-item.is-progress { - border-color: rgba(255, 196, 107, 0.28); - background: rgba(255, 196, 107, 0.07); -} - -.tool-nested-item.is-error { - border-color: rgba(239, 172, 158, 0.3); - background: rgba(239, 172, 158, 0.08); -} - -.tool-nested-item.is-result { - border-color: rgba(154, 168, 183, 0.24); - background: rgba(154, 168, 183, 0.05); -} - -.tool-nested-item-topline { - display: flex; - align-items: center; - justify-content: space-between; - gap: 0.75rem; -} - -.tool-nested-item-actions { - display: inline-flex; - align-items: center; - gap: 0.45rem; -} - -.tool-nested-summary { - display: flex; - align-items: center; - justify-content: space-between; - gap: 0.75rem; - padding: 0.6rem 0.7rem; - cursor: pointer; -} - -.tool-nested-body-wrap { - height: 0; - opacity: 0; - transform: translateY(-0.2rem) scaleY(0.985); - transform-origin: top; - overflow: hidden; - will-change: height, opacity, transform; - transition: - height 360ms var(--motion-emphasized), - opacity 220ms var(--motion-soft), - transform 360ms var(--motion-emphasized); -} - -.tool-nested-item.is-open .tool-nested-body-wrap { - opacity: 1; - transform: translateY(0) scaleY(1); -} - -.tool-nested-body { - min-height: 0; - overflow: hidden; - display: grid; - gap: 0.45rem; - padding: 0 0.7rem 0.7rem; -} - -.tool-nested-chevron { - color: var(--muted); - transition: transform 220ms var(--motion-snappy), color 180ms var(--motion-soft); -} - -.tool-nested-item.is-open .tool-nested-chevron { - transform: rotate(180deg); -} - -.tool-nested-item-topline strong { - font-size: 0.78rem; - font-weight: 600; -} - -.tool-nested-item p { - margin: 0.35rem 0 0; - font-size: 0.74rem; - line-height: 1.45; - color: var(--muted); - white-space: pre-wrap; - word-break: break-word; -} - -.tool-nested-block { - display: grid; - gap: 0.3rem; - margin-top: 0.45rem; -} - -.tool-nested-block.is-response .tool-card-label { - color: #96d7b5; -} - -.tool-nested-block.is-reasoning .tool-card-label { - color: #8fc5ff; -} - -.tool-nested-block.is-progress .tool-card-label { - color: #ffc46b; -} - -.tool-nested-block.is-error .tool-card-label { - color: #efac9e; -} - -.tool-nested-block pre { - margin: 0; - padding: 0.65rem; - border: 1px solid var(--line); - border-radius: 0.45rem; - background: #0f141a; - overflow: auto; - font-family: 'IBM Plex Mono', 'SFMono-Regular', Consolas, monospace; - font-size: 0.72rem; - line-height: 1.45; - white-space: pre-wrap; - word-break: break-word; -} - -.tool-nested-status { - font-size: 0.72rem; - color: var(--muted); -} - -.tool-nested-status.is-running { - color: #8fc5ff; -} - -.tool-nested-status.is-completed { - color: #96d7b5; -} - -.tool-nested-status.is-error { - color: #efac9e; -} - -.tool-card-label { - text-transform: uppercase; - letter-spacing: 0.06em; -} - -.chat-composer-shell { - display: grid; - gap: 0.5rem; -} - -.chat-composer-shell.is-dragging-files { - outline: 1px dashed var(--accent-line); - outline-offset: 0.25rem; -} - -.chat-composer-row { - display: flex; - align-items: stretch; - gap: 0.5rem; -} - -.composer-attach-button { - display: inline-flex; - align-items: center; - justify-content: center; - width: 2.75rem; - border: 1px solid var(--line); - border-radius: 0.55rem; - background: var(--surface); - color: var(--ink); - cursor: pointer; - transition: border-color 140ms ease, background-color 140ms ease; -} - -.composer-attach-button:hover { - border-color: var(--line-strong); -} - -.composer-attach-button input { - display: none; -} - -.composer-image-list { - display: flex; - flex-wrap: wrap; - gap: 0.5rem; -} - -.composer-image-item { - width: 7rem; - border: 1px solid var(--line); - border-radius: 0.55rem; - background: var(--surface-soft); - overflow: hidden; -} - -.composer-image-item img, -.user-image-preview { - display: block; - width: 100%; - object-fit: cover; - cursor: zoom-in; -} - -.composer-image-item img { - height: 5rem; -} - -.composer-image-meta { - display: flex; - align-items: center; - justify-content: space-between; - gap: 0.35rem; - padding: 0.45rem 0.5rem; -} - -.composer-image-meta span { - min-width: 0; - font-size: 0.72rem; - color: var(--muted); - overflow: hidden; - text-overflow: ellipsis; - white-space: nowrap; -} - -.composer-image-remove { - display: inline-flex; - align-items: center; - justify-content: center; - width: 1.5rem; - height: 1.5rem; - border: 1px solid var(--line); - border-radius: 0.4rem; - background: var(--surface); - color: var(--muted); - cursor: pointer; -} - -.composer-image-remove:hover { - border-color: var(--line-strong); - color: var(--ink); -} - -.user-image-grid { - display: grid; - grid-template-columns: repeat(auto-fit, minmax(6.5rem, 1fr)); - gap: 0.5rem; - margin-bottom: 0.65rem; -} - -.user-image-preview { - max-height: 10rem; - border: 1px solid var(--line); - border-radius: 0.45rem; - background: #10151b; -} - -.image-lightbox { - position: fixed; - inset: 0; - z-index: 30; - display: grid; - place-items: center; - padding: 1.5rem; - background: rgba(9, 12, 16, 0.82); - backdrop-filter: blur(6px); -} - -.image-lightbox-content { - position: relative; - max-width: min(92vw, 72rem); - max-height: min(92vh, 56rem); - display: grid; - gap: 0.65rem; - padding: 0.85rem; - border: 1px solid var(--line-strong); - border-radius: 0.75rem; - background: #12161c; -} - -.image-lightbox-close { - position: absolute; - top: 0.75rem; - right: 0.75rem; - display: inline-flex; - align-items: center; - justify-content: center; - width: 2rem; - height: 2rem; - border: 1px solid var(--line); - border-radius: 999px; - background: rgba(18, 22, 28, 0.92); - color: var(--ink); - cursor: pointer; -} - -.image-lightbox-image { - max-width: 100%; - max-height: min(80vh, 48rem); - border-radius: 0.45rem; - object-fit: contain; -} - -.image-lightbox-caption { - margin: 0; - font-size: 0.82rem; - color: var(--muted); - text-align: center; -} - -.chat-composer { - flex: 1; - resize: none; - min-height: 4.1rem; - padding: 0.6rem 0.75rem; - line-height: 1.45; - font: inherit; - color: var(--ink); -} - -.send-button { - flex: 0 0 2.75rem; - width: 2.75rem; - height: auto; -} - -.error-banner { - padding: 0.7rem 0.8rem; - color: #f0c0b5; - background: #211716; - border-color: #3b2421; -} - -.resize-handle { - position: relative; - background: transparent; -} - -.resize-handle::before { - content: ''; - position: absolute; - inset: 0; - margin: auto; - background: var(--line-strong); -} - -.resize-handle-vertical { - width: 0.625rem; -} - -.resize-handle-vertical::before { - width: 1px; - height: 100%; -} - -.resize-handle-horizontal { - height: 0.625rem; -} - -.resize-handle-horizontal::before { - width: 100%; - height: 1px; -} - -.viewport-panel-content, -.code-panel-content { - flex: 1; -} - -.code-scroll-shell { - height: 100%; - overflow: auto; -} - -.code-scroll-view { - margin: 0; - min-height: 100%; - padding: 0.75rem 0; - font-size: 0.82rem; - font-family: 'IBM Plex Mono', 'SFMono-Regular', Consolas, monospace; -} - -.code-syntax-view { - min-height: 100%; -} - -.code-syntax-view pre, -.code-syntax-view code { - font-family: 'IBM Plex Mono', 'SFMono-Regular', Consolas, monospace !important; -} - -.code-syntax-view .linenumber { - min-width: 2.4rem !important; -} - -.model-canvas-shell, -.code-panel-content > div { - height: 100%; -} - -.viewport-empty-state, -.code-empty-state, -.chat-empty-state { - height: 100%; -} - -.empty-state { - display: grid; - place-items: center; - gap: 0.4rem; - padding: 1.25rem; - text-align: center; -} - -.empty-state.is-clickable { - width: 100%; - font: inherit; - color: inherit; - cursor: pointer; - transition: border-color 140ms ease, background-color 140ms ease; -} - -.empty-state.is-clickable:hover { - border-color: var(--line-strong); - background: var(--surface-active); -} - -.empty-state.is-clickable h3, -.empty-state.is-clickable p { - pointer-events: none; -} - -.empty-state h3 { - margin: 0; - font-size: 0.95rem; - font-weight: 600; -} - -.empty-state p { - margin: 0; - color: var(--muted); -} - -.hidden-file-input { - display: none; -} - -.toolbar-button:focus-visible, -.send-button:focus-visible, -.conversation-item:focus-visible, -.conversation-delete-button:focus-visible, -.composer-attach-button:focus-visible, -.composer-image-remove:focus-visible, -.image-lightbox-close:focus-visible, -.rail-item:focus-visible, -.chat-composer:focus-visible, -.tool-card-summary:focus-visible, -.reasoning-card-summary:focus-visible, -.tool-nested-summary:focus-visible, -.model-select select:focus-visible, -.download-link:focus-visible { - outline: 2px solid var(--focus); - outline-offset: 1px; -} - -.empty-state.is-clickable:focus-visible { - outline: 2px solid var(--focus); - outline-offset: 1px; -} - -.spin { - animation: spin 1.1s linear infinite; -} - -@keyframes spin { - from { - transform: rotate(0deg); - } - to { - transform: rotate(360deg); - } -} - -@keyframes stream-delta-in { - 0% { - opacity: 0; - filter: blur(9px); - } - - 18% { - opacity: 0.04; - filter: blur(8.4px); - } - - 42% { - opacity: 0.18; - filter: blur(6.4px); - } - - 72% { - opacity: 0.64; - filter: blur(2.6px); - } - - 100% { - opacity: 1; - filter: blur(0); - } -} - -@keyframes thinking-breath { - 0%, - 100% { - border-color: rgba(143, 197, 255, 0.28); - box-shadow: 0 0 0 rgba(143, 197, 255, 0); - } - - 50% { - border-color: rgba(143, 197, 255, 0.5); - box-shadow: 0 0 1.2rem rgba(143, 197, 255, 0.08); - } -} - -@keyframes thinking-dot-pulse { - 0%, - 100% { - opacity: 0.28; - transform: translateY(0) scale(0.82); - filter: blur(0.6px); - } - - 45% { - opacity: 1; - transform: translateY(-0.08rem) scale(1.08); - filter: blur(0); - } -} - -@keyframes thinking-sheen { - 0% { - transform: translateX(-120%); - opacity: 0; - } - - 18% { - opacity: 1; - } - - 58% { - transform: translateX(120%); - opacity: 0.7; - } - - 100% { - transform: translateX(120%); - opacity: 0; - } -} - -@media (prefers-reduced-motion: reduce) { - .sidebar, - .bubble, - .tool-card, - .reasoning-card, - .tool-card-summary, - .reasoning-card-summary, - .tool-nested-summary, - .tool-card-chevron, - .tool-nested-chevron, - .tool-card-body-wrap, - .reasoning-card-body-wrap, - .tool-nested-body-wrap, - .bubble-thinking, - .bubble-thinking::after, - .thinking-indicator-dot, - .stream-delta { - transition: none !important; - animation: none !important; - transform: none !important; - filter: none !important; - } -} - -@media (max-width: 1080px) { - .app-shell { - flex-direction: column; - } - - .sidebar, - .sidebar.is-collapsed { - width: auto; - flex-basis: auto; - height: auto; - } - - .workspace-shell { - padding-top: 0; - } - - .panel-header, - .chat-composer-row { - flex-direction: column; - align-items: stretch; - } - - .send-button { - width: 100%; - flex-basis: auto; - } -} diff --git a/CADDesigner-Code/frontend/src/App.tsx b/CADDesigner-Code/frontend/src/App.tsx deleted file mode 100644 index 028bb96..0000000 --- a/CADDesigner-Code/frontend/src/App.tsx +++ /dev/null @@ -1,642 +0,0 @@ -import { Suspense, lazy, useCallback, useEffect, useState } from 'react' -import { Group, Panel, Separator } from 'react-resizable-panels' - -import './App.css' -import { - appendAssistantTextBlock, - applyStreamPacketToTurn, - buildChatTurns, - createTurn, - extractArtifactTagPaths, -} from './lib/chat' -import { - createConversation, - deleteConversation, - getConversationArtifactUrl, - getConversationHistory, - getHealth, - getLatestArtifacts, - listConversations, - listModels, - probeConversationArtifact, - readConversationArtifactText, - streamChatEvents, -} from './lib/api' -import { ConversationView } from './components/ConversationView' -import { Sidebar } from './components/Sidebar' -import type { - ArtifactFileInfo, - ChatTurn, - ComposerImageAttachment, - ConversationSummary, - LatestArtifactsResponse, - ModelInfo, - RawChatMessage, - RawMessageContentPart, -} from './types' - -const WorkbenchPane = lazy(async () => { - const module = await import('./components/WorkbenchPane') - return { default: module.WorkbenchPane } -}) - -function sortConversations(items: ConversationSummary[]): ConversationSummary[] { - return [...items].sort((left, right) => { - const rightTime = new Date( - right.context_last_activity ?? right.context_start_time ?? 0, - ).getTime() - const leftTime = new Date( - left.context_last_activity ?? left.context_start_time ?? 0, - ).getTime() - return rightTime - leftTime - }) -} - -function buildErrorTurn(turns: ChatTurn[], message: string): ChatTurn[] { - if (!turns.length) { - return [appendAssistantTextBlock(createTurn(''), `Error: ${message}`)] - } - - const nextTurns = [...turns] - nextTurns[nextTurns.length - 1] = appendAssistantTextBlock( - nextTurns[nextTurns.length - 1], - `Error: ${message}`, - ) - return nextTurns -} - -function makeAttachmentId(): string { - if (typeof crypto !== 'undefined' && typeof crypto.randomUUID === 'function') { - return crypto.randomUUID() - } - - return `${Date.now()}-${Math.random().toString(36).slice(2, 10)}` -} - -async function fileToDataUrl(file: File): Promise { - return new Promise((resolve, reject) => { - const reader = new FileReader() - reader.onload = () => { - if (typeof reader.result === 'string') { - resolve(reader.result) - return - } - - reject(new Error('Failed to encode image attachment')) - } - reader.onerror = () => reject(reader.error ?? new Error('Failed to read image file')) - reader.readAsDataURL(file) - }) -} - -function dedupeArtifactFiles(items: ArtifactFileInfo[]): ArtifactFileInfo[] { - const seen = new Set() - return items.filter((item) => { - if (!item.path || seen.has(item.path)) { - return false - } - - seen.add(item.path) - return true - }) -} - -function candidateArtifactPaths(path: string): string[] { - const trimmedPath = path.trim() - if (!trimmedPath) { - return [] - } - - const normalizedPath = trimmedPath.replace(/\\/g, '/').replace(/^\.\//, '') - const nextPaths = [trimmedPath] - - if (normalizedPath && normalizedPath !== trimmedPath) { - nextPaths.push(normalizedPath) - } - - if (normalizedPath && !normalizedPath.startsWith('workspace/')) { - nextPaths.push(`workspace/${normalizedPath}`) - } - - return Array.from(new Set(nextPaths)) -} - -async function resolveCodeArtifact( - conversationId: string, - taggedPath: string, -): Promise { - for (const candidatePath of candidateArtifactPaths(taggedPath)) { - const content = await readConversationArtifactText(conversationId, candidatePath) - if (content == null) { - continue - } - - return { - path: candidatePath, - content, - url: getConversationArtifactUrl(conversationId, candidatePath), - content_type: 'text/plain; charset=utf-8', - } - } - - return null -} - -async function resolveModelArtifact( - conversationId: string, - taggedPath: string, -): Promise { - for (const candidatePath of candidateArtifactPaths(taggedPath)) { - const exists = await probeConversationArtifact(conversationId, candidatePath) - if (!exists) { - continue - } - - return { - path: candidatePath, - url: getConversationArtifactUrl(conversationId, candidatePath), - } - } - - return null -} - -async function buildArtifactsFromHistory( - conversationId: string, - messages: RawChatMessage[], -): Promise { - const taggedArtifacts = extractArtifactTagPaths(messages) - const [codeFiles, modelFiles] = await Promise.all([ - Promise.all(taggedArtifacts.codePaths.map((path) => resolveCodeArtifact(conversationId, path))), - Promise.all(taggedArtifacts.modelPaths.map((path) => resolveModelArtifact(conversationId, path))), - ]) - - const resolvedCodeFiles = dedupeArtifactFiles(codeFiles.filter((item): item is ArtifactFileInfo => item !== null)) - const resolvedModelFiles = dedupeArtifactFiles( - modelFiles.filter((item): item is ArtifactFileInfo => item !== null), - ) - - return { - conversation_id: conversationId, - code_file: resolvedCodeFiles[0] ?? null, - code_files: resolvedCodeFiles, - model_file: resolvedModelFiles[0] ?? null, - model_files: resolvedModelFiles, - output_files: resolvedModelFiles.map((item) => item.path), - } -} - -function mergeArtifacts( - backendArtifacts: LatestArtifactsResponse | null, - historyArtifacts: LatestArtifactsResponse | null, -): LatestArtifactsResponse | null { - if (!backendArtifacts && !historyArtifacts) { - return null - } - - const baseArtifacts = backendArtifacts ?? historyArtifacts - if (!baseArtifacts) { - return null - } - - const codeFiles = dedupeArtifactFiles([ - ...(backendArtifacts?.code_files ?? []), - ...(backendArtifacts?.code_file ? [backendArtifacts.code_file] : []), - ...(historyArtifacts?.code_files ?? []), - ...(historyArtifacts?.code_file ? [historyArtifacts.code_file] : []), - ]) - const modelFiles = dedupeArtifactFiles([ - ...(backendArtifacts?.model_files ?? []), - ...(backendArtifacts?.model_file ? [backendArtifacts.model_file] : []), - ...(historyArtifacts?.model_files ?? []), - ...(historyArtifacts?.model_file ? [historyArtifacts.model_file] : []), - ]) - const outputFiles = Array.from( - new Set([...(backendArtifacts?.output_files ?? []), ...(historyArtifacts?.output_files ?? [])]), - ) - - return { - conversation_id: baseArtifacts.conversation_id, - code_file: backendArtifacts?.code_file ?? historyArtifacts?.code_file ?? codeFiles[0] ?? null, - code_files: codeFiles, - model_file: backendArtifacts?.model_file ?? historyArtifacts?.model_file ?? modelFiles[0] ?? null, - model_files: modelFiles, - output_files: outputFiles, - } -} - -function App() { - const [sidebarCollapsed, setSidebarCollapsed] = useState(false) - const [conversations, setConversations] = useState([]) - const [activeConversationId, setActiveConversationId] = useState('') - const [turns, setTurns] = useState([]) - const [artifacts, setArtifacts] = useState(null) - const [models, setModels] = useState([]) - const [selectedModel, setSelectedModel] = useState('cadagent') - const [input, setInput] = useState('') - const [attachments, setAttachments] = useState([]) - const [bootstrapping, setBootstrapping] = useState(true) - const [artifactLoading, setArtifactLoading] = useState(false) - const [streaming, setStreaming] = useState(false) - const [errorMessage, setErrorMessage] = useState(null) - - const clearConversationState = useCallback(() => { - setActiveConversationId('') - setTurns([]) - setArtifacts(null) - }, []) - - const handleAttachImages = useCallback(async (files: File[]) => { - if (!files.length) { - return - } - - try { - const nextAttachments = await Promise.all( - Array.from(files).map(async (file) => ({ - id: makeAttachmentId(), - name: file.name, - dataUrl: await fileToDataUrl(file), - })), - ) - - setAttachments((current) => [...current, ...nextAttachments]) - } catch (error) { - setErrorMessage(error instanceof Error ? error.message : 'Failed to load image attachment') - } - }, []) - - const handleRemoveImage = useCallback((attachmentId: string) => { - setAttachments((current) => current.filter((attachment) => attachment.id !== attachmentId)) - }, []) - - const refreshConversationList = useCallback(async (): Promise => { - const nextConversations = sortConversations(await listConversations()) - setConversations(nextConversations) - return nextConversations - }, []) - - const loadConversationState = useCallback(async (conversationId: string) => { - setArtifactLoading(true) - - const [historyResult, artifactsResult] = await Promise.allSettled([ - getConversationHistory(conversationId), - getLatestArtifacts(conversationId), - ]) - const historyArtifacts = - historyResult.status === 'fulfilled' - ? await buildArtifactsFromHistory(conversationId, historyResult.value) - : null - - if (historyResult.status === 'fulfilled') { - setTurns(buildChatTurns(historyResult.value)) - } else { - setTurns([]) - } - - if (artifactsResult.status === 'fulfilled') { - console.info('[artifacts] loaded latest artifacts', { - conversationId, - historyMessageCount: - historyResult.status === 'fulfilled' ? historyResult.value.length : undefined, - codeFile: artifactsResult.value.code_file?.path ?? null, - codeFiles: (artifactsResult.value.code_files ?? []).map((item) => item.path), - modelFile: artifactsResult.value.model_file?.path ?? null, - modelFiles: (artifactsResult.value.model_files ?? []).map((item) => item.path), - outputFiles: artifactsResult.value.output_files ?? [], - }) - } else { - console.warn('[artifacts] failed to load latest artifacts', { - conversationId, - historyStatus: historyResult.status, - reason: - artifactsResult.reason instanceof Error - ? artifactsResult.reason.message - : artifactsResult.reason, - }) - } - - if (historyArtifacts) { - console.info('[artifacts] history tag fallback', { - conversationId, - codeFile: historyArtifacts.code_file?.path ?? null, - codeFiles: historyArtifacts.code_files.map((item) => item.path), - modelFile: historyArtifacts.model_file?.path ?? null, - modelFiles: historyArtifacts.model_files.map((item) => item.path), - outputFiles: historyArtifacts.output_files, - }) - } - - const mergedArtifacts = mergeArtifacts( - artifactsResult.status === 'fulfilled' ? artifactsResult.value : null, - historyArtifacts, - ) - - console.info('[artifacts] merged artifact state', { - conversationId, - codeFile: mergedArtifacts?.code_file?.path ?? null, - codeFiles: mergedArtifacts?.code_files.map((item) => item.path) ?? [], - modelFile: mergedArtifacts?.model_file?.path ?? null, - modelFiles: mergedArtifacts?.model_files.map((item) => item.path) ?? [], - outputFiles: mergedArtifacts?.output_files ?? [], - }) - - setArtifacts(mergedArtifacts) - - if (historyResult.status === 'rejected') { - console.warn('[history] failed to load conversation history', { - conversationId, - reason: - historyResult.reason instanceof Error ? historyResult.reason.message : historyResult.reason, - }) - } - - setArtifactLoading(false) - }, []) - - const ensureConversation = useCallback(async (): Promise => { - if (activeConversationId) { - return activeConversationId - } - - const created = await createConversation() - setActiveConversationId(created.conversation_id) - return created.conversation_id - }, [activeConversationId]) - - const bootstrap = useCallback(async () => { - setBootstrapping(true) - setErrorMessage(null) - - try { - await getHealth() - } catch (error) { - setErrorMessage(error instanceof Error ? error.message : 'Backend unavailable') - } - - try { - const [availableModels, knownConversations] = await Promise.all([ - listModels(), - refreshConversationList(), - ]) - setModels(availableModels) - - if (availableModels.length) { - setSelectedModel((currentModel) => - availableModels.some((model) => model.id === currentModel) - ? currentModel - : availableModels[0].id, - ) - } - - const nextConversationId = - knownConversations[0]?.conversation_id ?? (await createConversation()).conversation_id - - setActiveConversationId(nextConversationId) - await loadConversationState(nextConversationId) - await refreshConversationList() - } catch (error) { - setErrorMessage( - error instanceof Error ? error.message : 'Failed to initialize the React UI', - ) - } finally { - setBootstrapping(false) - } - }, [loadConversationState, refreshConversationList]) - - useEffect(() => { - void bootstrap() - }, [bootstrap]) - - const handleCreateConversation = useCallback(async () => { - setErrorMessage(null) - - try { - const created = await createConversation() - setActiveConversationId(created.conversation_id) - setTurns([]) - setArtifacts(null) - await refreshConversationList() - await loadConversationState(created.conversation_id) - } catch (error) { - setErrorMessage(error instanceof Error ? error.message : 'Failed to create session') - } - }, [loadConversationState, refreshConversationList]) - - const handleSelectConversation = useCallback( - async (conversationId: string) => { - setActiveConversationId(conversationId) - setErrorMessage(null) - await loadConversationState(conversationId) - }, - [loadConversationState], - ) - - const handleDeleteConversation = useCallback( - async (conversationId: string) => { - if (streaming || bootstrapping) { - return - } - - const shortId = conversationId.slice(0, 8) - if (!window.confirm(`Delete conversation ${shortId}? This cannot be undone.`)) { - return - } - - setErrorMessage(null) - - try { - await deleteConversation(conversationId) - const refreshed = await refreshConversationList() - - if (conversationId !== activeConversationId) { - return - } - - const nextConversation = refreshed.find( - (conversation) => conversation.conversation_id !== conversationId, - ) - - if (!nextConversation) { - clearConversationState() - return - } - - setActiveConversationId(nextConversation.conversation_id) - await loadConversationState(nextConversation.conversation_id) - } catch (error) { - setErrorMessage(error instanceof Error ? error.message : 'Failed to delete conversation') - } - }, - [ - activeConversationId, - bootstrapping, - clearConversationState, - loadConversationState, - refreshConversationList, - streaming, - ], - ) - - useEffect(() => { - const intervalId = window.setInterval(() => { - void refreshConversationList() - }, 10000) - - return () => { - window.clearInterval(intervalId) - } - }, [refreshConversationList]) - - const handleSendMessage = useCallback(async () => { - const nextMessage = input.trim() - if ((!nextMessage && !attachments.length) || streaming) { - return - } - - const pendingAttachments = attachments - setStreaming(true) - setErrorMessage(null) - setInput('') - setAttachments([]) - - const messageContent: string | RawMessageContentPart[] = pendingAttachments.length - ? [ - ...(nextMessage ? [{ type: 'text', text: nextMessage } as const] : []), - ...pendingAttachments.map( - (attachment) => - ({ - type: 'image_url', - image_url: { url: attachment.dataUrl }, - }) as const, - ), - ] - : nextMessage - - try { - const conversationId = await ensureConversation() - setActiveConversationId(conversationId) - - const optimisticTurn = createTurn( - nextMessage, - pendingAttachments.map((attachment) => attachment.dataUrl), - ) - setTurns((currentTurns) => [...currentTurns, optimisticTurn]) - - const result = await streamChatEvents({ - conversationId, - model: selectedModel, - messageContent, - onPacket: (packet) => { - if (packet.event === 'done') { - return - } - - if (packet.event === 'error') { - const packetMessage = - typeof packet.data === 'object' && - packet.data !== null && - 'message' in packet.data && - typeof packet.data.message === 'string' - ? packet.data.message - : 'The stream reported an unknown error.' - - setErrorMessage(packetMessage) - setTurns((currentTurns) => buildErrorTurn(currentTurns, packetMessage)) - return - } - - setTurns((currentTurns) => { - if (!currentTurns.length) { - return currentTurns - } - - const nextTurns = [...currentTurns] - nextTurns[nextTurns.length - 1] = applyStreamPacketToTurn( - nextTurns[nextTurns.length - 1], - packet, - ) - return nextTurns - }) - }, - }) - - const finalConversationId = result.conversationId || conversationId - setActiveConversationId(finalConversationId) - await Promise.all([refreshConversationList(), loadConversationState(finalConversationId)]) - } catch (error) { - const message = error instanceof Error ? error.message : 'Streaming request failed' - setErrorMessage(message) - setAttachments(pendingAttachments) - setTurns((currentTurns) => buildErrorTurn(currentTurns, message)) - } finally { - setStreaming(false) - } - }, [ - attachments, - ensureConversation, - input, - loadConversationState, - refreshConversationList, - selectedModel, - streaming, - ]) - - return ( -
- setSidebarCollapsed((value) => !value)} - onCreateConversation={() => void handleCreateConversation()} - onSelectConversation={(conversationId) => void handleSelectConversation(conversationId)} - onDeleteConversation={(conversationId) => void handleDeleteConversation(conversationId)} - /> - -
-
- - - void handleAttachImages(files)} - onRemoveImage={handleRemoveImage} - onModelChange={setSelectedModel} - onSubmit={() => void handleSendMessage()} - /> - - - - - - -
-

Loading workbench

-

Preparing the preview and code panels.

-
- - } - > - - - - -
-
-
- ) -} - -export default App diff --git a/CADDesigner-Code/frontend/src/assets/hero.png b/CADDesigner-Code/frontend/src/assets/hero.png deleted file mode 100644 index cc51a3d20ad4bc961b596a6adfd686685cd84bb0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 44919 zcma%i^5TDbT`tlgo2c`(n!ND-Q6MGAYIbZ-QCh5-QC^YozK_ne*b_MKK#O- zIWy zd$aJVZ?rl%;eiC7d#Sl-cWLv9rA0(UOX(@I3k&yyL+3GaQ4xpb1EGC|i|{byaTI># zBO=0pyZu5XO!hzGNPch4cx%6XJAJpDa<+98BOcYNo1=XER1sv!UW z^>ZDMp%FSmVnt)n^EIR+Nth`vRO^_=UF3EWv75ym{S;#2F8MPot@-y$>ioj!)a1bE zijXPQY;U`qNwl9|wl{W>{FhMSb<>m4{;8Udp4psl)NwFRo(W-T)Y6-qDf=L#U?g<@ zV+T|3+RuE~!E&nodKrkfPcOpJ)&1|p`Tbtd12@MSE8DjWkD|9M>GZsHLf>TTbLx)B z#5K5l%gS7s(yWk?Lj{Nvm`Z-s8xb-Xr`5-xRr%w8v>!oSz{dN*MmxbscQl#Z40qSd z!PQXs-utLEF&$@S#__Lo*pOhG{l(%jyCh-0ME8owiT>U~r&q@MaDRePL(aZAAff9= zBd@*7RZxmiqK^nZH7`bTjIEQw#Y=V6(h{$>7ZIf=7S0;$8~4NXLd4T;Ai~C8&3k-; zYEtJWq6x$#5rrCJ%zspgO z((R)&>BIkkr^qQSEZljO*B+ZDvTeBKJ9N%8Ej=U+62GI)dc|ZMEM66~W12v&QFAIS 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a/CADDesigner-Code/frontend/src/assets/react.svg b/CADDesigner-Code/frontend/src/assets/react.svg deleted file mode 100644 index 6c87de9..0000000 --- a/CADDesigner-Code/frontend/src/assets/react.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/CADDesigner-Code/frontend/src/assets/vite.svg b/CADDesigner-Code/frontend/src/assets/vite.svg deleted file mode 100644 index 5101b67..0000000 --- a/CADDesigner-Code/frontend/src/assets/vite.svg +++ /dev/null @@ -1 +0,0 @@ -Vite diff --git a/CADDesigner-Code/frontend/src/components/AnimatedDisclosure.tsx b/CADDesigner-Code/frontend/src/components/AnimatedDisclosure.tsx deleted file mode 100644 index 9227c3a..0000000 --- a/CADDesigner-Code/frontend/src/components/AnimatedDisclosure.tsx +++ /dev/null @@ -1,72 +0,0 @@ -import { type ReactNode, useId, useLayoutEffect, useRef, useState } from 'react' - -interface AnimatedDisclosureProps { - className: string - summaryClassName: string - bodyWrapClassName: string - bodyClassName: string - open: boolean - onToggle: (nextOpen: boolean) => void - summary: ReactNode - children: ReactNode -} - -export function AnimatedDisclosure({ - className, - summaryClassName, - bodyWrapClassName, - bodyClassName, - open, - onToggle, - summary, - children, -}: AnimatedDisclosureProps) { - const bodyId = useId() - const bodyRef = useRef(null) - const [contentHeight, setContentHeight] = useState(0) - - useLayoutEffect(() => { - const node = bodyRef.current - if (!node) { - return - } - - const measure = () => { - setContentHeight(node.scrollHeight) - } - - measure() - - if (typeof ResizeObserver === 'undefined') { - return - } - - const observer = new ResizeObserver(() => { - measure() - }) - observer.observe(node) - return () => { - observer.disconnect() - } - }, [children]) - - return ( -
- - -
-
- {children} -
-
-
- ) -} diff --git a/CADDesigner-Code/frontend/src/components/ConversationView.tsx b/CADDesigner-Code/frontend/src/components/ConversationView.tsx deleted file mode 100644 index 0686e35..0000000 --- a/CADDesigner-Code/frontend/src/components/ConversationView.tsx +++ /dev/null @@ -1,437 +0,0 @@ -import { type ClipboardEvent, useEffect, useMemo, useRef, useState } from 'react' -import { Brain, ImagePlus, Send, X } from 'lucide-react' - -import { sanitizeAssistantText } from '../lib/chat' -import type { ChatTurn, ComposerImageAttachment, ModelInfo } from '../types' -import { AnimatedDisclosure } from './AnimatedDisclosure' -import { StreamingMarkdown } from './StreamingMarkdown' -import { ToolCallCard } from './ToolCallCard' - -interface ConversationViewProps { - turns: ChatTurn[] - activeConversationId: string - isStreaming: boolean - input: string - attachments: ComposerImageAttachment[] - models: ModelInfo[] - selectedModel: string - errorMessage: string | null - onInputChange: (value: string) => void - onAttachImages: (files: File[]) => void - onRemoveImage: (attachmentId: string) => void - onModelChange: (value: string) => void - onSubmit: () => void -} - -interface ImagePreviewState { - src: string - label: string -} - -const AUTO_SCROLL_THRESHOLD = 120 -const AUTO_SCROLL_UP_EPSILON = 6 - -interface ReasoningCardProps { - title: string - text: string - autoOpen: boolean -} - -function ReasoningCard({ title, text, autoOpen }: ReasoningCardProps) { - const [isOpen, setIsOpen] = useState(autoOpen) - - useEffect(() => { - if (autoOpen) { - setIsOpen(true) - } - }, [autoOpen]) - - return ( - - - {title} - - } - summaryClassName="reasoning-card-summary" - > - - - ) -} - -function collectImageFiles(files: Iterable): File[] { - return Array.from(files).filter((file) => file.type.startsWith('image/')) -} - -function collectClipboardImages(event: ClipboardEvent): File[] { - return Array.from(event.clipboardData.items) - .filter((item) => item.kind === 'file' && item.type.startsWith('image/')) - .map((item) => item.getAsFile()) - .filter((file): file is File => file !== null) -} - -function isNearTimelineBottom(node: HTMLDivElement): boolean { - return node.scrollHeight - node.scrollTop - node.clientHeight <= AUTO_SCROLL_THRESHOLD -} - -export function ConversationView({ - turns, - activeConversationId, - isStreaming, - input, - attachments, - models, - selectedModel, - errorMessage, - onInputChange, - onAttachImages, - onRemoveImage, - onModelChange, - onSubmit, -}: ConversationViewProps) { - const timelineRef = useRef(null) - const shouldAutoScrollRef = useRef(true) - const pendingConversationScrollRef = useRef(false) - const lastScrollTopRef = useRef(0) - const [isDraggingFiles, setIsDraggingFiles] = useState(false) - const [previewImage, setPreviewImage] = useState(null) - - useEffect(() => { - const node = timelineRef.current - if (!node) { - return - } - - pendingConversationScrollRef.current = true - shouldAutoScrollRef.current = true - node.scrollTop = node.scrollHeight - lastScrollTopRef.current = node.scrollTop - }, [activeConversationId]) - - useEffect(() => { - const node = timelineRef.current - if (!node) { - return - } - - const shouldSnapToBottom = pendingConversationScrollRef.current || (isStreaming && shouldAutoScrollRef.current) - if (!shouldSnapToBottom) { - return - } - - node.scrollTop = node.scrollHeight - lastScrollTopRef.current = node.scrollTop - - if (pendingConversationScrollRef.current && turns.length > 0) { - pendingConversationScrollRef.current = false - } - }, [turns, isStreaming]) - - useEffect(() => { - const node = timelineRef.current - if (!node) { - return - } - - const handleScroll = () => { - const currentScrollTop = node.scrollTop - const nearBottom = isNearTimelineBottom(node) - const scrolledUp = currentScrollTop < lastScrollTopRef.current - AUTO_SCROLL_UP_EPSILON - - if (nearBottom) { - shouldAutoScrollRef.current = true - } else if (scrolledUp) { - shouldAutoScrollRef.current = false - } - - lastScrollTopRef.current = currentScrollTop - } - - handleScroll() - node.addEventListener('scroll', handleScroll) - - return () => { - node.removeEventListener('scroll', handleScroll) - } - }, []) - - const streamingTurnId = useMemo( - () => (isStreaming ? turns.at(-1)?.id : undefined), - [isStreaming, turns], - ) - - useEffect(() => { - if (!previewImage) { - return - } - - const handleKeyDown = (event: KeyboardEvent) => { - if (event.key === 'Escape') { - setPreviewImage(null) - } - } - - window.addEventListener('keydown', handleKeyDown) - return () => { - window.removeEventListener('keydown', handleKeyDown) - } - }, [previewImage]) - - return ( -
-
-
-

Chat

-

- {activeConversationId - ? `Conversation ${activeConversationId.slice(0, 8)}` - : 'New conversation'} -

-
- - -
- -
- {turns.length === 0 ? ( -
-

Start a conversation

-

Describe the part you want, or paste/drag reference images, and the agent will stream text and tool calls in order.

-
- ) : null} - - {turns.map((turn) => { - const isActiveStreamingTurn = turn.id === streamingTurnId - - return ( -
-
- You - {turn.userImages.length ? ( -
- {turn.userImages.map((imageUrl, index) => ( - {`User - setPreviewImage({ - src: imageUrl, - label: `Conversation image ${index + 1}`, - }) - } - /> - ))} -
- ) : null} - {turn.userText ?

{turn.userText}

: null} -
- -
- {turn.segments.map((segment) => { - if (segment.kind === 'tool') { - return - } - - if (segment.kind === 'reasoning') { - const visibleReasoning = segment.rawText.trim() - if (!visibleReasoning) { - return null - } - - return ( - - ) - } - - const visibleText = sanitizeAssistantText(segment.rawText) - if (!visibleText) { - return null - } - - return ( -
- Agent - -
- ) - })} - - {isActiveStreamingTurn && !turn.segments.length ? ( -
- Agent -
-
- Thinking -
-

Planning the next step, selecting tools, and preparing the first response.

-
-
- ) : null} -
-
- ) - })} -
- -