mirror of
https://code.lenaisten.de/Lenaisten/advent22.git
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198 lines
4.4 KiB
Python
198 lines
4.4 KiB
Python
import colorsys
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import random
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from datetime import date
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from io import BytesIO
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import numpy as np
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from fastapi import APIRouter, Depends
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from fastapi.responses import StreamingResponse
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from PIL import Image, ImageDraw, ImageFont
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router = APIRouter(prefix="/days", tags=["days"])
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loesungswort = "ABCDEFGHIJKLMNOPQRSTUVWX"
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async def shuffle(string: str) -> str:
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rnd = random.Random(loesungswort)
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return "".join(rnd.sample(string, len(string)))
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@router.on_event("startup")
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async def narf() -> None:
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print(loesungswort)
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print(await shuffle(loesungswort))
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@router.get("/letter/{index}")
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async def get_letter(
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index: int,
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) -> str:
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return (await shuffle(loesungswort))[index]
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@router.get("/date")
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def get_date() -> int:
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return date.today().day
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@router.get(
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"/picture",
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response_class=StreamingResponse,
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)
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async def get_picture():
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img = Image.open("hand.png").convert("RGBA")
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d1 = ImageDraw.Draw(img)
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font = ImageFont.truetype("Lena.ttf", 50)
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d1.text((260, 155), "W", font=font, fill=(0, 0, 255))
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# d1.text(xy=(400, 210), text="Deine Hände auch?",
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# font=Font, fill=(255, 0, 0))
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img_buffer = BytesIO()
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img.save(img_buffer, format="PNG", quality=85)
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img_buffer.seek(0)
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return StreamingResponse(
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content=img_buffer,
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media_type="image/png",
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)
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async def load_picture_standard() -> Image.Image:
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"""
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Bild laden und einen quadratischen Ausschnitt
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aus der Mitte nehmen
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"""
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# Bild laden
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img = Image.open("hand.png")
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# Größen bestimmen
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width, height = img.size
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square = min(width, height)
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# Bild zuschneiden und skalieren
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img = img.crop(box=(
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int((width - square)/2),
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int((height - square)/2),
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int((width + square)/2),
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int((height + square)/2),
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))
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img = img.resize(
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size=(400, 400),
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resample=Image.ANTIALIAS,
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)
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# Farbmodell festlegen
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return img.convert("RGB")
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async def get_text_box(
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img: Image.Image,
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xy: tuple[float, float],
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text: str | bytes,
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font: "ImageFont._Font",
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anchor: str | None = "mm",
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**text_kwargs,
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) -> tuple[int, int, int, int] | None:
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"""
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Koordinaten (links, oben, rechts, unten) des betroffenen
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Rechtecks bestimmen, wenn das Bild `img` mit einem Text
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versehen wird
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"""
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# Neues 1-Bit Bild, gleiche Größe
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mask = Image.new(mode="1", size=img.size, color=0)
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# Text auf Maske auftragen
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ImageDraw.Draw(mask).text(
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xy=xy,
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text=text,
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font=font,
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anchor=anchor,
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fill=1,
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**text_kwargs,
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)
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# betroffenen Pixelbereich bestimmen
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return mask.getbbox()
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async def get_average_color(
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img: Image.Image,
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box: tuple[int, int, int, int],
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) -> tuple[int, int, int]:
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"""
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Durchschnittsfarbe eines rechteckigen Ausschnitts in
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einem Bild `img` berechnen
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"""
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pixel_data = img.crop(box).getdata()
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mean_color: np.ndarray = np.mean(pixel_data, axis=0)
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return tuple(mean_color.astype(int).tolist())
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@router.get(
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"/picture/{index}",
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response_class=StreamingResponse,
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)
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async def get_picture_for_day(
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letter: str = Depends(get_letter),
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img: Image.Image = Depends(load_picture_standard),
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) -> StreamingResponse:
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"""
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Bild für einen Tag erstellen
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"""
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# Font laden
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font = ImageFont.truetype("Lena.ttf", 50)
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# Position des Buchstaben bestimmen
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xy = (100, 150)
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# betroffenen Bildbereich bestimmen
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text_box = await get_text_box(
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img=img,
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xy=xy,
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text=letter,
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font=font,
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)
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if text_box is not None:
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# Durchschnittsfarbe bestimmen
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text_color = await get_average_color(
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img=img,
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box=text_box,
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)
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# etwas heller/dunkler machen
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tc_h, tc_s, tc_v = colorsys.rgb_to_hsv(*text_color)
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if tc_v < 127:
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tc_v += 3
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else:
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tc_v -= 3
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text_color = colorsys.hsv_to_rgb(tc_h, tc_s, tc_v)
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text_color = tuple(int(val) for val in text_color)
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# Buchstaben verstecken
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ImageDraw.Draw(img).text(
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xy=xy,
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text=letter,
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font=font,
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anchor="mm",
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fill=text_color,
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)
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# Bilddaten in Puffer laden
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img_buffer = BytesIO()
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img.save(img_buffer, format="PNG", quality=85)
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img_buffer.seek(0)
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return StreamingResponse(
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content=img_buffer,
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media_type="image/png",
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)
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