introduce toolbox for draw route between some points in a point layer to some point to another point layer with polyline layer

To create a toolbox for drawing routes between points in two separate point layers using a polyline layer, you can develop a solution based on geographic information systems (GIS) principles. This toolbox can be implemented using programming languages and tools like Python with libraries such as `geopandas`, `shapely`, or `ArcPy` if you are using ArcGIS.

Here’s a general outline to guide you in creating such a toolbox:

### Step 1: Define the Purpose and Functionality
- **Input**: Two point layers (e.g., `layerA` and `layerB`).
- **Output**: A polyline layer that represents the routes between the points in the two layers.
- **Functionality**: 
  - Select specific points from `layerA` and `layerB`.
  - Calculate the routes (straight-line, shortest path, etc.).
  - Create polylines representing these routes.

### Step 2: Data Structure and Input Handling
- Use `Geopandas` to read and handle the spatial data in your point layers.
- Ensure that both layers are in the same coordinate reference system (CRS).

### Step 3: Calculate Routes
**Options**:
- **Straight-line Distance**: You can simply connect points from one layer to the other.
- **Network Analysis**: For more realistic routing (e.g., using roads), you can integrate with existing road network data.

#### Example Code using Geopandas and Shapely:
```python
import geopandas as gpd
from shapely.geometry import LineString

# Load point layers
layerA = gpd.read_file('path/to/layerA.shp')
layerB = gpd.read_file('path/to/layerB.shp')

# Create a GeoDataFrame for routes
routes = gpd.GeoDataFrame(columns=['geometry'])

# Iterate over points in layerA and layerB to create routes
for pointA in layerA.geometry:
    for pointB in layerB.geometry:
        # Create a LineString for the route
        line = LineString([pointA, pointB])
        
        # Append to routes GeoDataFrame
        routes = routes.append({'geometry': line}, ignore_index=True)

# Save your routes to a new shapefile
routes.to_file('path/to/routes_layer.shp')
```

### Step 4: Visualization
You can use libraries like `matplotlib` for basic visualization:
```python
import matplotlib.pyplot as plt

# Plot the points from both layers
base = layerA.plot(color='blue', marker='o', label='Layer A', figsize=(10, 10))
layerB.plot(ax=base, color='red', marker='o', label='Layer B')
routes.plot(ax=base, color='green', linewidth=1, label='Routes')

plt.legend()
plt.show()
```

### Step 5: User Interface
If you want a more user-friendly approach, consider creating a GUI using libraries such as:
- `Tkinter` for a standalone app.
- `Dash` or `Streamlit` for web applications.

### Step 6: Additional Features
- Add options for user-selectable points.
- Implement network analysis for more realistic routing (using libraries like `networkx` or `osmnx`).

### Conclusion
This toolbox allows you to draw routes between points across different layers and visualize these connections. It can be expanded with network analysis capabilities for practical applications. Adjust the code snippets to fit your specific use case and data formats.