advent22/api/advent22_api/routers/days.py

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import colorsys
import random
from datetime import date
from io import BytesIO
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import numpy as np
from fastapi import APIRouter, Depends
from fastapi.responses import StreamingResponse
from PIL import Image, ImageDraw, ImageFont
router = APIRouter(prefix="/days", tags=["days"])
loesungswort = "ABCDEFGHIJKLMNOPQRSTUVWX"
async def shuffle(string: str) -> str:
rnd = random.Random(loesungswort)
return "".join(rnd.sample(string, len(string)))
@router.on_event("startup")
async def narf() -> None:
print(loesungswort)
print(await shuffle(loesungswort))
@router.get("/letter/{index}")
async def get_letter(
index: int,
) -> str:
return (await shuffle(loesungswort))[index]
@router.get("/date")
def get_date() -> int:
return date.today().day
@router.get(
"/picture",
response_class=StreamingResponse,
)
async def get_picture():
img = Image.open("hand.png").convert("RGBA")
d1 = ImageDraw.Draw(img)
font = ImageFont.truetype("Lena.ttf", 50)
d1.text((260, 155), "W", font=font, fill=(0, 0, 255))
# d1.text(xy=(400, 210), text="Deine Hände auch?",
# font=Font, fill=(255, 0, 0))
img_buffer = BytesIO()
img.save(img_buffer, format="PNG", quality=85)
img_buffer.seek(0)
return StreamingResponse(
content=img_buffer,
media_type="image/png",
)
async def load_picture_standard() -> Image.Image:
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"""
Bild laden und einen quadratischen Ausschnitt
aus der Mitte nehmen
"""
# Bild laden
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img = Image.open("lena2.jpg")
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# Größen bestimmen
width, height = img.size
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square = min(width, height)
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# Bild zuschneiden und skalieren
img = img.crop(box=(
int((width - square)/2),
int((height - square)/2),
int((width + square)/2),
int((height + square)/2),
))
img = img.resize(
size=(400, 400),
resample=Image.ANTIALIAS,
)
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# Farbmodell festlegen
return img.convert("RGB")
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async def get_text_box(
img: Image.Image,
xy: tuple[float, float],
text: str | bytes,
font: "ImageFont._Font",
anchor: str | None = "mm",
**text_kwargs,
) -> tuple[int, int, int, int] | None:
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"""
Koordinaten (links, oben, rechts, unten) des betroffenen
Rechtecks bestimmen, wenn das Bild `img` mit einem Text
versehen wird
"""
# 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(
xy=xy,
text=text,
font=font,
anchor=anchor,
fill=1,
**text_kwargs,
)
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# betroffenen Pixelbereich bestimmen
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return mask.getbbox()
async def get_average_color(
img: Image.Image,
box: tuple[int, int, int, int],
) -> tuple[int, int, int]:
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"""
Durchschnittsfarbe eines rechteckigen Ausschnitts in
einem Bild `img` berechnen
"""
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pixel_data = img.crop(box).getdata()
mean_color: np.ndarray = np.mean(pixel_data, axis=0)
return tuple(mean_color.astype(int).tolist())
@router.get(
"/picture/{index}",
response_class=StreamingResponse,
)
async def get_picture_for_day(
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index: int,
letter: str = Depends(get_letter),
img: Image.Image = Depends(load_picture_standard),
) -> StreamingResponse:
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"""
Bild für einen Tag erstellen
"""
# Font laden
font = ImageFont.truetype("Lena.ttf", 50)
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# Position des Buchstaben bestimmen
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rnd = random.Random(f"{loesungswort}{index}")
xy = tuple(rnd.choices(range(30, 370), k=2))
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# betroffenen Bildbereich bestimmen
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text_box = await get_text_box(
img=img,
xy=xy,
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text=letter,
font=font,
)
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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(
img=img,
box=text_box,
)
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# etwas heller/dunkler machen
tc_h, tc_s, tc_v = colorsys.rgb_to_hsv(*text_color)
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tc_v = int((tc_v - 127) * 0.97) + 127
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if tc_v < 127:
tc_v += 3
else:
tc_v -= 3
text_color = colorsys.hsv_to_rgb(tc_h, tc_s, tc_v)
text_color = tuple(int(val) for val in text_color)
# Buchstaben verstecken
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ImageDraw.Draw(img).text(
xy=xy,
text=letter,
font=font,
anchor="mm",
fill=text_color,
)
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# Bilddaten in Puffer laden
img_buffer = BytesIO()
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img.save(img_buffer, format="JPEG", quality=85)
img_buffer.seek(0)
return StreamingResponse(
content=img_buffer,
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media_type="image/jpeg",
)