| """ |
| Potato Annotation Platform |
| |
| A flexible, web-based platform for text annotation tasks. |
| |
| This package provides a comprehensive annotation system with the following features: |
| - Multi-phase annotation workflows (consent, instructions, training, annotation, post-study) |
| - Support for various annotation types (labels, spans, text, likert scales, best-worst scaling) |
| - User authentication and session management |
| - Active learning capabilities |
| - Admin dashboard for monitoring progress |
| - Configurable assignment strategies |
| - Multi-language and multi-task support |
| |
| Main Components: |
| - flask_server: Core Flask application and server logic |
| - routes: HTTP route handlers and request processing |
| - user_state_management: User progress tracking and state persistence |
| - item_state_management: Data item management and assignment |
| - authentificaton: User authentication backends |
| - admin: Admin dashboard functionality |
| - activelearning: Active learning algorithms and model training |
| |
| Usage: |
| from potato.flask_server import create_app |
| app = create_app() |
| app.run() |
| """ |
|
|
| from .flask_server import create_app |
|
|
| __version__ = "2.6.0" |
| __author__ = "Potato Annotation Platform Team" |
| __description__ = "A flexible, web-based platform for text annotation tasks" |
|
|
|
|
| def __getattr__(name): |
| """Lazy imports for optional heavy dependencies.""" |
| if name == "load_as_dataset": |
| from .datasets_integration import load_as_dataset |
| return load_as_dataset |
| if name == "load_annotations": |
| from .datasets_integration import load_annotations |
| return load_annotations |
| raise AttributeError(f"module 'potato' has no attribute {name!r}") |
