Density option

main.py

@@ -0,0 +1,94 @@
+import io
+import itertools
+import json
+import random
+from collections import Counter
+from copy import deepcopy
+from datetime import datetime
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import numpy as np
+import uvicorn
+from fastapi import FastAPI, Response
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import StreamingResponse
+
+app = FastAPI(title="Speckles API", root_path="/images")
+origins = [
+    "http://localhost",
+    "http://localhost:3000",
+    "https://localhost",
+    "https://0124816.xyz",
+    "http://0124816.xyz:3001",
+]
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+MEDIA_TYPES = {
+    "png": "image/png",
+    "jpeg": "image/jpeg",
+    "jpg": "image/jpeg",
+    "svg": "image/svg+xml",
+    "pdf": "application/pdf",
+}
+
+
+@app.get("/speckles/")
+def make_wallpaper(
+    speckle_colours: str,
+    dimensions: tuple[float | int, float | int] = (1920, 1080),
+    density: float | None = 0.12,
+    fileformat: str = "svg",
+):
+    if not fileformat in MEDIA_TYPES:
+        return
+    speckle_colours = speckle_colours.split(",")
+    background = speckle_colours.pop(0)
+    x, y = dimensions
+    speckles_per_colour = int(x / 100 * y / 100 * density)
+
+    fig, ax = plt.subplots(figsize=(x / 100, y / 100), facecolor=background)
+    ax.set_facecolor(background)
+    [spine.set_color(background) for spine in ax.spines.values()]
+    ax.set_xticks([])
+    ax.set_yticks([])
+    ax.margins(0, 0)
+
+    for color, size in itertools.product(
+        speckle_colours,
+        np.logspace(1, 6.6, 8, base=2),
+    ):
+        ax.scatter(
+            [random.random() * x / 8 for _ in range(speckles_per_colour)],
+            [random.random() * y / 8 for _ in range(speckles_per_colour)],
+            c=color,
+            s=size,
+        )
+
+    fig.tight_layout()
+    # plt.xlim(0, x)
+    # plt.ylim(0, y)
+    # plt.axis("off")
+
+    buf = io.BytesIO()
+    fig.savefig(
+        buf,
+        format=fileformat,
+        dpi=128,
+        bbox_inches="tight",
+        pad_inches=0,
+    )
+    buf.seek(0)
+    return StreamingResponse(content=buf, media_type=MEDIA_TYPES[fileformat])
+    buf.close()
+
+
+if __name__ == "__main__":
+    uvicorn.run("main:app", workers=2, port=8099, reload=False)