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TransformedString into own file
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commit
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2 changed files with 97 additions and 85 deletions
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@ -1,13 +1,11 @@
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import re
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import tomllib
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from enum import Enum
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from random import Random
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from markdown import markdown
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from pydantic import BaseModel, ConfigDict, field_validator
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from .dav.webdav import WebDAV
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from .settings import SETTINGS
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from .transformed_string import TransformedString
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class User(BaseModel):
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@ -15,88 +13,6 @@ class User(BaseModel):
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password: str
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class TransformedString(BaseModel):
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class __Whitespace(str, Enum):
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# unverändert
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KEEP = "KEEP"
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# Leerzeichen an Anfang und Ende entfernen
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STRIP = "STRIP"
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# whitespace durch Leerzeichen ersetzen
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SPACE = "SPACE"
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# whitespace entfernen
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REMOVE = "REMOVE"
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class __SpecialChars(str, Enum):
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# unverändert
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KEEP = "KEEP"
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# Sonderzeichen entfernen
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REMOVE = "REMOVE"
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class __Case(str, Enum):
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# unverändert
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KEEP = "KEEP"
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# GROSSBUCHSTABEN
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UPPER = "UPPER"
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# kleinbuchstaben
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LOWER = "LOWER"
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# ZuFÄllIg
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RANDOM = "RANDOM"
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value: str
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whitespace: __Whitespace = __Whitespace.REMOVE
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special_chars: __SpecialChars = __SpecialChars.REMOVE
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case: __Case = __Case.UPPER
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@field_validator("whitespace", "case", mode="before")
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def transform_from_str(cls, v) -> str:
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return str(v).upper()
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@property
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def clean(self) -> str:
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result = self.value
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# Whitespace verarbeiten
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if self.whitespace is TransformedString.__Whitespace.STRIP:
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result = result.strip()
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elif self.whitespace is TransformedString.__Whitespace.SPACE:
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result = re.sub(string=result, pattern=r"\s+", repl=" ")
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elif self.whitespace is TransformedString.__Whitespace.REMOVE:
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result = re.sub(string=result, pattern=r"\s+", repl="")
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# Sonderzeichen verarbeiten
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if self.special_chars is TransformedString.__SpecialChars.REMOVE:
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result = re.sub(string=result, pattern=r"[^a-zA-Z0-9\s]+", repl="")
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# Groß-/Kleinschreibung verarbeiten
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if self.case is TransformedString.__Case.UPPER:
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result = result.upper()
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elif self.case is TransformedString.__Case.LOWER:
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result = result.lower()
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elif self.case is TransformedString.__Case.RANDOM:
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rnd = Random(self.value)
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def randomcase(c: str) -> str:
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if rnd.choice((True, False)):
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return c.upper()
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return c.lower()
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result = "".join(randomcase(c) for c in result)
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return result
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class Site(BaseModel):
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model_config = ConfigDict(validate_default=True)
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96
api/advent22_api/core/transformed_string.py
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96
api/advent22_api/core/transformed_string.py
Normal file
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@ -0,0 +1,96 @@
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import re
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from enum import Enum
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from random import Random
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from pydantic import BaseModel, field_validator
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_RE_WHITESPACE = re.compile(
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pattern=r"\s+",
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flags=re.UNICODE | re.IGNORECASE,
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)
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_RE_SPECIAL_CHARS = re.compile(
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pattern=r"[^a-zA-Z0-9\s]+",
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flags=re.UNICODE | re.IGNORECASE,
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)
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class TransformedString(BaseModel):
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class __Whitespace(str, Enum):
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# unverändert
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KEEP = "KEEP"
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# Leerzeichen an Anfang und Ende entfernen
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STRIP = "STRIP"
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# whitespace durch Leerzeichen ersetzen
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SPACE = "SPACE"
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# whitespace entfernen
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REMOVE = "REMOVE"
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class __SpecialChars(str, Enum):
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# unverändert
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KEEP = "KEEP"
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# Sonderzeichen entfernen
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REMOVE = "REMOVE"
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class __Case(str, Enum):
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# unverändert
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KEEP = "KEEP"
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# GROSSBUCHSTABEN
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UPPER = "UPPER"
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# kleinbuchstaben
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LOWER = "LOWER"
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# ZuFÄllIg
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RANDOM = "RANDOM"
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value: str
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whitespace: __Whitespace = __Whitespace.REMOVE
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special_chars: __SpecialChars = __SpecialChars.REMOVE
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case: __Case = __Case.UPPER
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@field_validator("whitespace", "case", mode="before")
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def transform_from_str(cls, v) -> str:
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return str(v).upper()
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@property
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def clean(self) -> str:
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result = self.value
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# Whitespace verarbeiten
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if self.whitespace is TransformedString.__Whitespace.STRIP:
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result = result.strip()
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elif self.whitespace is TransformedString.__Whitespace.SPACE:
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result = _RE_WHITESPACE.sub(string=result, repl=" ")
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elif self.whitespace is TransformedString.__Whitespace.REMOVE:
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result = _RE_WHITESPACE.sub(string=result, repl="")
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# Sonderzeichen verarbeiten
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if self.special_chars is TransformedString.__SpecialChars.REMOVE:
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result = _RE_SPECIAL_CHARS.sub(string=result, repl="")
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# Groß-/Kleinschreibung verarbeiten
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if self.case is TransformedString.__Case.UPPER:
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result = result.upper()
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elif self.case is TransformedString.__Case.LOWER:
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result = result.lower()
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elif self.case is TransformedString.__Case.RANDOM:
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rnd = Random(self.value)
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def randomcase(c: str) -> str:
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if rnd.choice((True, False)):
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return c.upper()
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return c.lower()
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result = "".join(randomcase(c) for c in result)
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return result
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