orientation option

main.py

@@ -0,0 +1,111 @@
+import io
+import logging
+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,
+    density: float | None = 0.12,
+    size: float | None = 3,
+    fileformat: str = "svg",
+    orientation: str | None = "landscape",
+):
+    if not fileformat in MEDIA_TYPES:
+        return
+    speckle_colours = speckle_colours.split(",")
+    background = speckle_colours.pop(0)
+    if orientation == "portrait":
+        x, y = (1080, 1920)
+    elif orientation == "landscape":
+        x, y = (1920, 1080)
+    elif "x" in orientation:
+        resolution = orientation.split("x")
+        if len(resolution) !=2 :
+            logging.critical("input resolution has more or less than 2 dimensions")
+            return
+        x,y = resolution
+        if all([x.isdigit(), y.isdigit()]):
+            x,y = int(x), int(y)
+        else:
+            return
+    else:
+        x, y = (1920, 1080)
+    speckles_per_colour = int(x / 128 * y / 128 * density)
+
+    fig, ax = plt.subplots(figsize=(x / 120, y / 120), 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(0, size, 10, base=np.exp(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)

speckles.py

@@ -8,44 +8,17 @@ from pathlib import Path
 import matplotlib.pyplot as plt
 import numpy as np
 
-palettes = [
-        { "colours": ["#eee4ab", "#e5cb9f", "#99c4c8", "#68a7ad"], "votes": 100000 },
-        { "colours": ["#e4d192", "#cba0ae", "#af7ab3", "#80558c"], "votes": 100000 },
-        { "colours": ["#eeeeee", "#e1d4bb", "#cbb279", "#537188"], "votes": 100000 },
-        { "colours": ["#c0dbea", "#ba90c6", "#e8a0bf", "#fdf4f5"], "votes": 100000 },
-        { "colours": ["#f5ffc9", "#b3e5be", "#a86464", "#804674"], "votes": 100000 },
-        { "colours": ["#ffde7d", "#f6416c", "#f8f3d4", "#00b8a9"], "votes": 100000 },
-        { "colours": ["#53354a", "#903749", "#e84545", "#2b2e4a"], "votes": 100000 },
-        { "colours": ["#967e76", "#d7c0ae", "#eee3cb", "#b7c4cf"], "votes": 100000 },
-        { "colours": ["#fc5185", "#f5f5f5", "#3fc1c9", "#364f6b"], "votes": 100000 },
-        { "colours": ["#eaeaea", "#ff2e63", "#252a34", "#08d9d6"], "votes": 100000 },
-        { "colours": ["#eeeeee", "#00adb5", "#393e46", "#222831"], "votes": 100000 },
-        { "colours": ["#2cd3e1", "#a459d1", "#f266ab", "#ffb84c"], "votes": 100000 },
-        { "colours": ["#ffe194", "#e8f6ef", "#1b9c85", "#4c4c6d"], "votes": 100000 },
-        { "colours": ["#146c94", "#19a7ce", "#b0daff", "#feff86"], "votes": 100000 },
-        { "colours": ["#4c3d3d", "#c07f00", "#ffd95a", "#fff7d4"], "votes": 100000 },
-        { "colours": ["#8bacaa", "#b04759", "#e76161", "#f99b7d"], "votes": 100000 },
-        { "colours": ["#146c94", "#19a7ce", "#afd3e2", "#f6f1f1"], "votes": 100000 },
-        { "colours": ["#9ba4b5", "#212a3e", "#394867", "#f1f6f9"], "votes": 100000 },
-        { "colours": ["#00ffca", "#05bfdb", "#088395", "#0a4d68"], "votes": 100000 },
-        { "colours": ["#7c9070", "#9ca777", "#fee8b0", "#f97b22"], "votes": 100000 },
-        { "colours": ["#002a19", "#000000", "#ffffff", "#e0512f"], "votes": 100000 },
-]
-
-palette_files = ["colorhunt.json", "coolors.json"]
-for palette_file in palette_files:
-    with open(palette_file, "rt") as f:
-        palettes += json.load(f)
-
 
 def make_wallpaper(
     background: str,
     speckle_colours: list[str],
     filename: str | Path,
-    density: int = 20,
+    density: int = 0.6,
     dimensions: tuple[float | int, float | int] = (1920, 1080),
 ) -> None:
     x, y = dimensions
+    speckles_per_colour = 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()]
@@ -58,8 +31,8 @@ def make_wallpaper(
         np.logspace(1, 6, 8, base=2),
     ):
         plt.scatter(
-            [random.random() * x / 8 for _ in range(density)],
-            [random.random() * y / 8 for _ in range(density)],
+            [random.random() * x / 8 for _ in range(speckles_per_colour)],
+            [random.random() * y / 8 for _ in range(speckles_per_colour)],
             c=color,
             s=size,
         )
@@ -101,9 +74,43 @@ def night_sky(palette):
     )
 
 
-print(len(palettes))
-palettes = [palette["colours"] for palette in palettes if palette["votes"] > 30000 or len(palette["colours"]) > 5]
-print(len(palettes))
-for palette in palettes:
+if __name__ == "__main__":
+    palettes = [
+        {"colours": ["#eee4ab", "#e5cb9f", "#99c4c8", "#68a7ad"], "votes": 100000},
+        {"colours": ["#e4d192", "#cba0ae", "#af7ab3", "#80558c"], "votes": 100000},
+        {"colours": ["#eeeeee", "#e1d4bb", "#cbb279", "#537188"], "votes": 100000},
+        {"colours": ["#c0dbea", "#ba90c6", "#e8a0bf", "#fdf4f5"], "votes": 100000},
+        {"colours": ["#f5ffc9", "#b3e5be", "#a86464", "#804674"], "votes": 100000},
+        {"colours": ["#ffde7d", "#f6416c", "#f8f3d4", "#00b8a9"], "votes": 100000},
+        {"colours": ["#53354a", "#903749", "#e84545", "#2b2e4a"], "votes": 100000},
+        {"colours": ["#967e76", "#d7c0ae", "#eee3cb", "#b7c4cf"], "votes": 100000},
+        {"colours": ["#fc5185", "#f5f5f5", "#3fc1c9", "#364f6b"], "votes": 100000},
+        {"colours": ["#eaeaea", "#ff2e63", "#252a34", "#08d9d6"], "votes": 100000},
+        {"colours": ["#eeeeee", "#00adb5", "#393e46", "#222831"], "votes": 100000},
+        {"colours": ["#2cd3e1", "#a459d1", "#f266ab", "#ffb84c"], "votes": 100000},
+        {"colours": ["#ffe194", "#e8f6ef", "#1b9c85", "#4c4c6d"], "votes": 100000},
+        {"colours": ["#146c94", "#19a7ce", "#b0daff", "#feff86"], "votes": 100000},
+        {"colours": ["#4c3d3d", "#c07f00", "#ffd95a", "#fff7d4"], "votes": 100000},
+        {"colours": ["#8bacaa", "#b04759", "#e76161", "#f99b7d"], "votes": 100000},
+        {"colours": ["#146c94", "#19a7ce", "#afd3e2", "#f6f1f1"], "votes": 100000},
+        {"colours": ["#9ba4b5", "#212a3e", "#394867", "#f1f6f9"], "votes": 100000},
+        {"colours": ["#00ffca", "#05bfdb", "#088395", "#0a4d68"], "votes": 100000},
+        {"colours": ["#7c9070", "#9ca777", "#fee8b0", "#f97b22"], "votes": 100000},
+        {"colours": ["#002a19", "#000000", "#ffffff", "#e0512f"], "votes": 100000},
+    ]
+
+    palette_files = ["colorhunt.json"]
+    for palette_file in palette_files:
+        with open(palette_file, "rt") as f:
+            palettes += json.load(f)
+
+    print(len(palettes))
+    palettes = [
+        palette["colours"]
+        for palette in palettes
+        if palette["votes"] > 30000 or len(palette["colours"]) > 5
+    ]
+    print(len(palettes))
+    for palette in palettes:
         night_sky(palette)
         speckles(palette)