How suratlayek/path-interpolator works
1. What this repository is
- A desktop Python GUI application for geometric path processing, not a web service.
- The core workflow is: load coordinate file → apply offset/buffer → interpolate points at fixed spacing → preview result → save a new output file.
2. Primary runtime entry point
- main.py is the app launcher and likely starts the Qt event loop.
- interface.py is the main application module where UI behavior, file handling, and path-processing orchestration most likely live.
3. UI construction and presentation
- Assets/interface.ui is a Qt Designer file, so the window layout is defined declaratively and then loaded or compiled into the Python app.
- Assets/Adaptic.qss provides the application theme/styling, giving the GUI a consistent dark look.
- This means the visual layer is separated from the processing logic rather than being hand-built entirely in code.
4. User input boundary
- The app accepts coordinate files via browse or drag-and-drop.
- Supported file types in the README are .txt, .tpl, and .dat.
- The input format is simple text with space-separated X and Y values per line, which becomes the raw data boundary for the processing pipeline.
5. Geometry processing subsystem
- The main computational features are:
- Path offsetting using a buffer-like operation, with positive values expanding the path and negative values contracting it.
- Interpolation of points at a user-defined spacing r along the resulting path length.
- The README explicitly ties offsetting to Shapely buffers, so the geometry engine is centered on Shapely-style planar geometry operations.
6. Visualization subsystem
- The app includes a live preview plot powered by pyqtgraph.
- The plot is used to compare the original path and the processed/interpolated path, which makes the visualization layer a distinct consumer of the processed geometry output.
7. Output flow
- After generation, the tool writes a new file with an _interpolated suffix.
- This makes file export part of the main processing pipeline, not a separate reporting step.
- The output is likely another plain coordinate file, matching the app’s text-based input style.
8. Project packaging and dependency management
- pyproject.toml and uv.lock indicate the project is managed with uv, so dependency resolution and environment setup are centralized there.
- .python-version suggests the repo pins a specific Python runtime version.
- This is a standard desktop-app packaging setup rather than a service deployment model.
9. Distribution and release boundary
- The README references a standalone Windows installer .exe, implying the app is also packaged for non-Python end users.
- That installer is a distribution artifact; it is not part of the runtime architecture inside the repository tree.
10. Static/documentation assets
- index.html appears to be a static page or auxiliary artifact rather than core application logic.
- README.md acts as the primary usage and workflow documentation.
11. Architectural boundaries to draw
- Input layer: file selection / drag-drop and parsing of text coordinates.
- UI layer: Qt window, controls, styling, and interaction.
- Geometry engine: offset and interpolation calculations.
- Visualization layer: pyqtgraph preview of original vs transformed paths.
- Persistence layer: generation of the _interpolated output file.
12. Overall structure
- This is a single-user desktop application with a fairly tight loop between UI and computation.
- There is no evidence of a server, database, or networked backend.
- The important diagram should show a Qt-based front end orchestrating a geometry-processing core and a plotting/output path.
Main entry points: interface.py App Logic · pyproject.toml Project Config · main.py Launcher · .python-version Python Pin
Components 12
Desktop UI
Qt window, controls, styling, and user interaction.
Processing Core
Geometry transformation and file pipeline.
- Input Parse · Reads space-separated X/Y coordinate lines from supported files.
- Offset Path · Expands or contracts the path using buffer-like planar geometry operations.
- Interpolate · Generates points along the processed path at user-defined spacing.
- Export File · Writes the processed coordinates to a new file with an interpolated suffix.
Assets
Designer and theme files used by the GUI.
- Window Layout · Declarative definition of the application window and controls.
Assets/interface.ui - Theme · Visual styling for the desktop interface.
Assets/Adaptic.qss
Project Setup
Python runtime pinning and dependency management.
- Project Config · Defines package metadata and dependencies.
pyproject.toml - Locked Deps · Pins resolved dependency versions for reproducible installs.
uv.lock - Python Pin · Pins the Python version used by the app.
.python-version
Connections 12
- Launcher → App Logic: launches · Main module starts the app controller and Qt loop.
- App Logic → Window Layout: loads UI · The interface is built from the Qt Designer layout.
- App Logic → Theme: applies theme · Stylesheet is used to skin the window.
- App Logic → Input Parse: reads files · User-selected or dropped coordinate files are parsed into path data.
- Input Parse → Offset Path: path data · Parsed coordinates feed the geometric transformation stage.
- Offset Path → Interpolate: processed path · Offset result is sampled at fixed spacing.
- Interpolate → Preview Plot: renders · Interpolated output is visualized alongside the original path.
- Input Parse → Preview Plot: original path · Raw geometry is also shown in the preview.
- Interpolate → Export File: exports · Final coordinates are written to a new output file.
- App Logic → Preview Plot: updates view · UI orchestrates live plot refreshes during interaction.
- Project Config → Locked Deps: resolves · Project configuration is locked into reproducible dependency versions.
- Python Pin → Project Config: pins runtime · The project targets a specific Python version.