Merge branch 'develop' into feature/drawrects

This commit is contained in:
Jörn-Michael Miehe 2023-09-03 16:45:01 +00:00
commit f0bac2d168
8 changed files with 54 additions and 63 deletions

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@ -20,25 +20,15 @@
"vscode": {
// Set *default* container specific settings.json values on container create.
"settings": {
"python.defaultInterpreterPath": "/usr/local/bin/python",
"python.linting.enabled": true,
"python.linting.pylintEnabled": true,
"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
"python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
"python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
"python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
"python.linting.pylintPath": "/usr/local/py-utils/bin/pylint"
"python.defaultInterpreterPath": "/usr/local/bin/python"
},
// Add the IDs of extensions you want installed when the container is created.
"extensions": [
"be5invis.toml",
"mhutchie.git-graph",
"ms-python.python",
"ms-python.flake8",
"ms-python.black-formatter",
// "ms-python.flake8",
"ms-python.isort",
"ms-python.vscode-pylance"
]

4
api/.flake8 Normal file
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@ -0,0 +1,4 @@
[flake8]
max-line-length = 80
select = C,E,F,W,B,B950
extend-ignore = E203, E501

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@ -1,17 +1,16 @@
{
"python.testing.pytestArgs": [
"tests"
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true,
"python.linting.enabled": true,
"python.linting.pylintEnabled": false,
"python.linting.flake8Enabled": true,
"python.languageServer": "Pylance",
"editor.formatOnSave": true,
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter"
},
"editor.codeActionsOnSave": {
"source.organizeImports": true
},
"git.closeDiffOnOperation": true,
"python.analysis.typeCheckingMode": "basic"
}
"python.analysis.typeCheckingMode": "basic",
"python.analysis.diagnosticMode": "workspace",
}

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@ -6,22 +6,20 @@ from webdav3.client import Client as WebDAVclient
from .settings import SETTINGS
_WEBDAV_CLIENT = WebDAVclient({
_WEBDAV_CLIENT = WebDAVclient(
{
"webdav_hostname": SETTINGS.webdav.url,
"webdav_login": SETTINGS.webdav.username,
"webdav_password": SETTINGS.webdav.password,
"disable_check": SETTINGS.webdav.disable_check,
})
}
)
@AsyncTTL(time_to_live=SETTINGS.cache_ttl)
async def dav_list_files(regex: re.Pattern, directory: str = "") -> list[str]:
ls = _WEBDAV_CLIENT.list(directory)
return [
f"{directory}/{path}"
for path in ls
if regex.search(path)
]
return [f"{directory}/{path}" for path in ls if regex.search(path)]
@AsyncTTL(time_to_live=SETTINGS.cache_ttl)

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@ -1,5 +1,6 @@
import colorsys
from dataclasses import dataclass
from typing import Self
import numpy as np
from PIL import Image, ImageDraw, ImageFont
@ -10,7 +11,7 @@ class AdventImage:
img: Image.Image
@classmethod
async def load_standard(cls, fp) -> "AdventImage":
async def load_standard(cls, fp) -> Self:
"""
Bild laden und einen quadratischen Ausschnitt
aus der Mitte nehmen
@ -24,16 +25,18 @@ class AdventImage:
square = min(width, height)
# 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.crop(
box=(
int((width - square) / 2),
int((height - square) / 2),
int((width + square) / 2),
int((height + square) / 2),
)
)
img = img.resize(
size=(500, 500),
resample=Image.ANTIALIAS,
resample=Image.LANCZOS,
)
# Farbmodell festlegen
@ -79,7 +82,7 @@ class AdventImage:
"""
pixel_data = self.img.crop(box).getdata()
mean_color: np.ndarray = np.mean(pixel_data, axis=0)
mean_color: np.ndarray = np.mean(a=pixel_data, axis=0)
return tuple(mean_color.astype(int).tolist())
@ -98,11 +101,7 @@ class AdventImage:
# betroffenen Bildbereich bestimmen
text_box = await self.get_text_box(
xy=xy,
text=text,
font=font,
anchor=anchor,
**text_kwargs
xy=xy, text=text, font=font, anchor=anchor, **text_kwargs
)
if text_box is not None:
@ -131,5 +130,5 @@ class AdventImage:
font=font,
fill=text_color,
anchor=anchor,
**text_kwargs
**text_kwargs,
)

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@ -1,7 +1,7 @@
import itertools
import random
import re
from typing import Any, Sequence
from typing import Any, Self, Sequence
from fastapi import Depends
from PIL import ImageFont
@ -17,7 +17,7 @@ from ._image import AdventImage
class Random(random.Random):
@classmethod
async def get(cls, bonus_salt: Any = "") -> "Random":
async def get(cls, bonus_salt: Any = "") -> Self:
cfg = await get_config()
return cls(f"{cfg.puzzle.solution}{bonus_salt}")
@ -36,6 +36,7 @@ async def shuffle(seq: Sequence, rnd: random.Random | None = None) -> list:
# Elemente mischen
return rnd.sample(seq, len(seq))
#########
# IMAGE #
#########

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@ -22,8 +22,10 @@ async def uwe(
) -> str:
kurix = await get_kurix(kgs)
return f"UWE hat bei {firma} einen beachtlichen Haufen von " \
return (
f"UWE hat bei {firma} einen beachtlichen Haufen von "
f"{kgs} Kg ({kurix:.3f} Kurix) auf den Läufer geschissen."
)
@router.get("/torsten/{ding}")
@ -41,8 +43,8 @@ async def torsten(ding: str) -> str:
status.HTTP_418_IM_A_TEAPOT: {
"description": "Commit Sudoku",
"content": None,
}
}
},
},
)
async def kys() -> None:
"""

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@ -13,9 +13,7 @@ async def user_is_admin(
credentials: HTTPBasicCredentials = Depends(security),
config: Config = Depends(get_config),
) -> bool:
username_correct = secrets.compare_digest(
credentials.username, config.admin.name
)
username_correct = secrets.compare_digest(credentials.username, config.admin.name)
password_correct = secrets.compare_digest(
credentials.password, config.admin.password