Merge remote-tracking branch 'origin/master'

# Conflicts:
#	server.py

README.md

@@ -4,44 +4,193 @@
 
 # Zordon
 
-A lightweight, zero-install, distributed rendering and management tool designed to streamline and optimize rendering workflows across multiple machines
+A Python-based distributed rendering management tool that supports Blender, FFmpeg, and other render engines. Zordon efficiently manages render jobs across multiple machines, making it ideal for small render farms in home studios or small businesses.
 
 ## What is Zordon?
 
-Zordon is tool designed for small render farms, such as those used in home studios or small businesses, to efficiently manage and run render jobs for Blender, FFMPEG, and other video renderers. It simplifies the process of distributing rendering tasks across multiple available machines, optimizing the rendering workflow for artists, animators, and video professionals.
+Zordon is a tool designed for small render farms, such as those used in home studios or small businesses, to efficiently manage and run render jobs for Blender, FFmpeg, and other video renderers. It simplifies the process of distributing rendering tasks across multiple available machines, optimizing the rendering workflow for artists, animators, and video professionals.
+
+The system works by:
+- **Server**: Central coordinator that manages job queues and distributes tasks to available workers
+- **Clients**: Lightweight workers that run on rendering machines and execute assigned jobs
+- **API**: RESTful endpoints for programmatic job submission and monitoring
+
+## Features
+
+- **Distributed Rendering**: Queue and distribute render jobs across multiple machines
+- **Multi-Engine Support**: Compatible with Blender, FFmpeg, and extensible to other render engines
+- **Desktop UI**: PyQt6 interface for job management and monitoring
+- **REST API**: Flask-based API for programmatic access
+- **Cross-Platform**: Runs on Windows, macOS, and Linux
+- **Zero-Install Clients**: Lightweight client executables for worker machines
+
+## Installation
+
+### Prerequisites
+
+- Python 3.11 or later
+- Git
+
+### Setup
+
+1. Clone the repository:
+   ```bash
+   git clone https://github.com/blw1138/Zordon.git
+   cd Zordon
+   ```
+
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. (Optional) Install PyInstaller for building executables:
+   ```bash
+   pip install pyinstaller pyinstaller_versionfile
+   ```
+
+## Usage
+
+### Quick Start
+
+1. **Start the Server**: Run the central server to coordinate jobs.
+   ```bash
+   python server.py
+   ```
+
+2. **Launch Clients**: On each rendering machine, run the client to connect to the server.
+   ```bash
+   python client.py
+   ```
 
 
-Notice: This should be considered a beta and is meant for casual / hobbiest use. Do not use in mission critical environments!
 
-## Supported Renderers
+### Detailed Workflow
 
-Zordon supports or plans to support the following renderers:
+#### Setting Up a Render Farm
+
+1. Choose one machine as the server (preferably a dedicated machine with good network connectivity).
+2. Build and distribute client executables to worker machines:
+   ```bash
+   pyinstaller client.spec
+   ```
+   Copy the generated executable to each worker machine.
+
+3. Ensure all machines can communicate via network (same subnet recommended).
+
+#### Submitting Render Jobs
+
+Jobs can be submitted via the desktop UI or programmatically via the API:
+
+- **Via UI**: Use the desktop interface to upload project files, specify render settings, and queue jobs.
+- **Via API**: Send POST requests to `/api/jobs` with job configuration in JSON format.
+
+Example API request:
+```bash
+curl -X POST http://localhost:5000/api/jobs \
+  -H "Content-Type: application/json" \
+  -d '{
+    "engine": "blender",
+    "project_path": "/path/to/project.blend",
+    "output_path": "/path/to/output",
+    "frames": "1-100",
+    "settings": {"resolution": "1920x1080"}
+  }'
+```
+
+#### Monitoring and Managing Jobs
+
+- **UI**: View job status, progress, logs, and worker availability in real-time.
+- **API Endpoints**:
+  - `GET /api/jobs`: List all jobs
+  - `GET /api/jobs/{id}`: Get job details
+  - `DELETE /api/jobs/{id}`: Cancel a job
+  - `GET /api/workers`: List connected workers
+
+#### Worker Management
+
+Workers automatically connect to the server when started. You can:
+- View worker status and capabilities in the dashboard
+- Configure worker priorities and resource limits
+- Monitor CPU/GPU usage per worker
+
+### Development Mode
+
+For development and testing:
+
+Run the server:
+```bash
+python server.py
+```
+
+Run a client (can run multiple for testing):
+```bash
+python client.py
+```
+
+
+### Building Executables
+
+Build server executable:
+```bash
+pyinstaller server.spec
+```
+
+Build client executable:
+```bash
+pyinstaller client.spec
+```
+
+## Configuration
+
+Settings are stored in `src/utilities/config.py`. Supports YAML/JSON for data serialization and environment-specific configurations.
+
+## Architecture
+
+Zordon follows a modular architecture with the following key components:
+
+- **API Server** (`src/api/`): Flask-based REST API
+- **Engine System** (`src/engines/`): Pluggable render engines (Blender, FFmpeg, etc.)
+- **UI** (`src/ui/`): PyQt6-based interface
+- **Job Management** (`src/render_queue.py`): Distributed job queue
+
+Design patterns include Factory Pattern for engine creation, Observer Pattern for status updates, and Strategy Pattern for different worker implementations.
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch: `git checkout -b feature/your-feature`
+3. Follow the code style guidelines in `AGENTS.md`
+4. Test the build: `pyinstaller server.spec`
+5. Submit a pull request
+
+### Commit Message Format
+
+```
+feat: add support for new render engine
+fix: resolve crash when engine path is invalid
+docs: update API documentation
+refactor: simplify job status handling
+```
+
+## Supported Render Engines
 
 - **Blender**
-- **FFMPEG**
-- **Adobe After Effects** ([coming soon](https://github.com/blw1138/Zordon/issues/84))
-- **Cinema 4D** ([planned](https://github.com/blw1138/Zordon/issues/105))
-- **Autodesk Maya** ([planned](https://github.com/blw1138/Zordon/issues/106))
+- **FFmpeg**
+- **Adobe After Effects** (planned)
+- **Cinema 4D** (planned)
+- **Autodesk Maya** (planned)
 
 ## System Requirements
 
 - Windows 10 or later
 - macOS Ventura (13.0) or later
-- Linux (Supported versions TBD)
-
-## Build using Pyinstaller
-
-Zordon is regularly tested with Python 3.11 and later. It's packaged and distributed with pyinstaller. It is supported on Windows, macOS and Linux.
-
-```
-git clone https://github.com/blw1138/Zordon.git
-pip3 install -r requirements.txt
-pip3 install pyinstaller
-pip3 install pyinstaller_versionfile
-pyinstaller client.spec
-pyinstaller server.spec
-```
+- Linux (supported versions TBD)
 
 ## License
 
 Zordon is licensed under the MIT License. See the [LICENSE](LICENSE.txt) file for more details.
+
+## Notice
+
+This software is in beta and intended for casual/hobbyist use. Not recommended for mission-critical environments.

server.py

@@ -69,12 +69,11 @@ class ZordonServer:
         DistributedJobManager._sync_class()
 
         self.api_server = None
-        self.server_hostname = None
+        self.server_hostname: str = socket.gethostname()
 
     def start_server(self):
 
         def existing_process(process_name):
-            import psutil
             current_pid = os.getpid()
             current_process = psutil.Process(current_pid)
             for proc in psutil.process_iter(['pid', 'name', 'ppid']):
@@ -103,7 +102,7 @@ class ZordonServer:
 
         ServerProxyManager.subscribe_to_listener()
 
-        # get hostname
+        # update hostname
         self.server_hostname = socket.gethostname()
 
         # configure and start API server

src/api/api_server.py

@@ -300,26 +300,7 @@ def add_job_handler():
         return err_msg, 500
 
     try:
-        loaded_project_local_path = processed_job_data['__loaded_project_local_path']
-        created_jobs = []
-        if processed_job_data.get("child_jobs"):
-            for child_job_diffs in processed_job_data["child_jobs"]:
-                processed_child_job_data = processed_job_data.copy()
-                processed_child_job_data.pop("child_jobs")
-                processed_child_job_data.update(child_job_diffs)
-                child_job = DistributedJobManager.create_render_job(processed_child_job_data, loaded_project_local_path)
-                created_jobs.append(child_job)
-        else:
-            new_job = DistributedJobManager.create_render_job(processed_job_data, loaded_project_local_path)
-            created_jobs.append(new_job)
-
-        # Save notes to .txt
-        if processed_job_data.get("notes"):
-            parent_dir = Path(loaded_project_local_path).parent.parent
-            notes_name = processed_job_data['name'] + "-notes.txt"
-            with (Path(parent_dir) / notes_name).open("w") as f:
-                f.write(processed_job_data["notes"])
-        return [x.json() for x in created_jobs]
+        return JobImportHandler.create_jobs_from_processed_data(processed_job_data)
     except Exception as e:
         logger.exception(f"Error creating render job: {e}")
     return 'unknown error', 500
@@ -447,6 +428,7 @@ def engine_info():
             return result
 
         except Exception as e:
+            traceback.print_exc(e)
             logger.error(f"Error fetching details for engine '{engine.name()}': {e}")
             return {}
 
@@ -650,6 +632,7 @@ def handle_404(error):
 
 @server.errorhandler(Exception)
 def handle_general_error(general_error):
+    traceback.print_exception(type(general_error), general_error, general_error.__traceback__)
     err_msg = f"Server error: {general_error}"
     logger.error(err_msg)
     return err_msg, 500

src/api/job_import_handler.py

@@ -5,19 +5,77 @@ import shutil
 import tempfile
 import zipfile
 from datetime import datetime
+from pathlib import Path
 
 import requests
-from pathlib import Path
 from tqdm import tqdm
 from werkzeug.utils import secure_filename
 
+from src.distributed_job_manager import DistributedJobManager
+
 logger = logging.getLogger()
 
 
 class JobImportHandler:
+    """Handles job import operations for rendering projects.
+
+    This class provides functionality to validate, download, and process
+    job data and project files for the rendering queue system.
+    """
+
+    @classmethod
+    def create_jobs_from_processed_data(cls, processed_job_data: dict) -> list[dict]:
+        """ Takes processed job data and creates new jobs
+
+        Args: processed_job_data: Dictionary containing job information"""
+        loaded_project_local_path = processed_job_data['__loaded_project_local_path']
+
+        # prepare child job data
+        job_data_to_create = []
+        if processed_job_data.get("child_jobs"):
+            for child_job_diffs in processed_job_data["child_jobs"]:
+                processed_child_job_data = processed_job_data.copy()
+                processed_child_job_data.pop("child_jobs")
+                processed_child_job_data.update(child_job_diffs)
+                job_data_to_create.append(processed_child_job_data)
+        else:
+            job_data_to_create.append(processed_job_data)
+
+        # create the jobs
+        created_jobs = []
+        for job_data in job_data_to_create:
+            new_job = DistributedJobManager.create_render_job(job_data, loaded_project_local_path)
+            created_jobs.append(new_job)
+
+        # Save notes to .txt
+        if processed_job_data.get("notes"):
+            parent_dir = Path(loaded_project_local_path).parent.parent
+            notes_name = processed_job_data['name'] + "-notes.txt"
+            with (Path(parent_dir) / notes_name).open("w") as f:
+                f.write(processed_job_data["notes"])
+        return [x.json() for x in created_jobs]
 
     @classmethod
     def validate_job_data(cls, new_job_data: dict, upload_directory: Path, uploaded_file=None) -> dict:
+        """Validates and prepares job data for import.
+
+        This method validates the job data dictionary, handles project file
+        acquisition (upload, download, or local copy), and prepares the job
+        directory structure.
+
+        Args:
+            new_job_data: Dictionary containing job information including
+                'name', 'engine_name', and optionally 'url' or 'local_path'.
+            upload_directory: Base directory for storing uploaded jobs.
+            uploaded_file: Optional uploaded file object from the request.
+
+        Returns:
+            The validated job data dictionary with additional metadata.
+
+        Raises:
+            KeyError: If required fields 'name' or 'engine_name' are missing.
+            FileNotFoundError: If no valid project file can be found.
+        """
         loaded_project_local_path = None
 
         # check for required keys
@@ -25,7 +83,7 @@ class JobImportHandler:
         engine_name = new_job_data.get('engine_name')
         if not job_name:
             raise KeyError("Missing job name")
-        elif not engine_name:
+        if not engine_name:
             raise KeyError("Missing engine name")
 
         project_url = new_job_data.get('url', None)
@@ -45,8 +103,7 @@ class JobImportHandler:
 
         # Prepare the local filepath
         cleaned_path_name = job_name.replace(' ', '-')
-        timestamp = datetime.now().strftime("%Y.%m.%d_%H.%M.%S")
-        folder_name = f"{cleaned_path_name}-{engine_name}-{timestamp}"
+        folder_name = f"{cleaned_path_name}-{engine_name}-{datetime.now().strftime('%Y.%m.%d_%H.%M.%S')}"
         job_dir = Path(upload_directory) / folder_name
         os.makedirs(job_dir, exist_ok=True)
         project_source_dir = Path(job_dir) / 'source'
@@ -81,12 +138,24 @@ class JobImportHandler:
 
     @staticmethod
     def download_project_from_url(project_url: str):
+        """Downloads a project file from the given URL.
+
+        Downloads the file from the specified URL to a temporary directory
+        with progress tracking. Returns the filename and temporary path.
+
+        Args:
+            project_url: The URL to download the project file from.
+
+        Returns:
+            A tuple of (filename, temp_file_path) if successful,
+            (None, None) if download fails.
+        """
         # This nested function is to handle downloading from a URL
         logger.info(f"Downloading project from url: {project_url}")
         referred_name = os.path.basename(project_url)
 
         try:
-            response = requests.get(project_url, stream=True)
+            response = requests.get(project_url, stream=True, timeout=300)
             if response.status_code == 200:
                 # Get the total file size from the "Content-Length" header
                 file_size = int(response.headers.get("Content-Length", 0))
@@ -113,8 +182,8 @@ class JobImportHandler:
         """
         Processes a zipped project.
 
-        This method takes a path to a zip file, extracts its contents, and returns the path to the extracted project file.
-        If the zip file contains more than one project file or none, an error is raised.
+        This method takes a path to a zip file, extracts its contents, and returns the path to the extracted project
+        file. If the zip file contains more than one project file or none, an error is raised.
 
         Args:
             zip_path (Path): The path to the zip file.
@@ -148,5 +217,5 @@ class JobImportHandler:
 
         except (zipfile.BadZipFile, zipfile.LargeZipFile) as e:
             logger.error(f"Error processing zip file: {e}")
-            raise ValueError(f"Error processing zip file: {e}")
+            raise ValueError(f'Error processing zip file: {e}') from e
         return extracted_project_path

src/engines/core/base_engine.py

@@ -19,6 +19,7 @@ class BaseRenderEngine(object):
     """
 
     install_paths: List[str] = []
+    binary_names: Dict[str, str] = {}
 
     # --------------------------------------------
     # Required Overrides for Subclasses: