c630b500ef
* DB: users + user_profiles/filters/notifications/preferences; applications gets user_id + forensics_json + profile_snapshot_json; new errors table with 14d retention; schema versioning via MIGRATIONS list * auth: password hashes in DB (argon2); env vars seed first admin; per-user sessions; CSRF bound to user id * apply: personal info/WBS moved out of env into the request body; providers take an ApplyContext with Profile + submit_forms; full Playwright recorder (step log, console, page errors, network, screenshots, final HTML) * web: five top-level tabs (Wohnungen/Bewerbungen/Logs/Fehler/Einstellungen); settings sub-tabs profil/filter/benachrichtigungen/account/benutzer; per-user matching, auto-apply and notifications (UI/Telegram/SMTP); red auto-apply switch on Wohnungen tab; forensics detail view for bewerbungen and fehler; retention background thread Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
"""Applicant profile passed from web → apply on each request."""
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from dataclasses import dataclass, field
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from datetime import datetime
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@dataclass
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class Profile:
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salutation: str = "Herr"
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firstname: str = ""
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lastname: str = ""
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email: str = ""
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telephone: str = ""
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street: str = ""
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house_number: str = ""
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postcode: str = ""
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city: str = ""
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# WBS
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is_possessing_wbs: bool = False
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wbs_type: str = "0"
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wbs_valid_till: str = "1970-01-01" # ISO date string
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wbs_rooms: int = 0
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wbs_adults: int = 0
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wbs_children: int = 0
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is_prio_wbs: bool = False
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# optional: immomio login for providers that need it
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immomio_email: str = ""
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immomio_password: str = ""
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@property
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def person_count(self) -> int:
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return self.wbs_adults + self.wbs_children
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@property
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def adult_count(self) -> int:
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return self.wbs_adults
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@property
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def children_count(self) -> int:
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return self.wbs_children
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def wbs_valid_till_dt(self) -> datetime:
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try:
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return datetime.strptime(self.wbs_valid_till, "%Y-%m-%d")
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except ValueError:
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return datetime(1970, 1, 1)
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@classmethod
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def from_dict(cls, d: dict) -> "Profile":
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safe = {k: d.get(k) for k in cls.__dataclass_fields__.keys() if k in d and d[k] is not None}
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# normalise booleans + ints
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for k in ("is_possessing_wbs", "is_prio_wbs"):
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if k in safe:
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v = safe[k]
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if isinstance(v, str):
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safe[k] = v.lower() in ("true", "1", "yes", "on")
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else:
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safe[k] = bool(v)
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for k in ("wbs_rooms", "wbs_adults", "wbs_children"):
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if k in safe:
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try:
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safe[k] = int(safe[k])
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except (TypeError, ValueError):
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safe[k] = 0
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return cls(**safe)
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