feat: Projektfundament mit Datenmodell, Migrationen und Seed
- Repo-Struktur für Backend, Frontend, Dokumentation und Gitea-Workflows - FastAPI-Skeleton mit pydantic-settings und RFC-7807-artigem Fehlerformat - Vollständiges Datenmodell (15 Tabellen) als SQLAlchemy-2.0-Modelle - Alembic gegen die Async-Engine inklusive Erstmigration - Idempotenter Seed für den deutschen Kategoriebaum und Standardregeln - Endpunkte /api/health und /api/version - pytest-Infrastruktur mit transaktionsisolierten Fixtures Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014e7t8UpmoVNMtWivY5LiSH
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# Alembic-Konfiguration. Die DSN kommt aus der Umgebung (siehe alembic/env.py).
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[alembic]
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script_location = alembic
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prepend_sys_path = .
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version_path_separator = os
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timezone = Europe/Berlin
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file_template = %%(year)d%%(month).2d%%(day).2d_%%(hour).2d%%(minute).2d_%%(slug)s
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[loggers]
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keys = root,sqlalchemy,alembic
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[handlers]
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keys = console
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[formatters]
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keys = generic
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[logger_root]
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level = WARNING
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handlers = console
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qualname =
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[logger_sqlalchemy]
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level = WARNING
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handlers =
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qualname = sqlalchemy.engine
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[logger_alembic]
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level = INFO
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handlers =
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qualname = alembic
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[handler_console]
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class = StreamHandler
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args = (sys.stderr,)
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level = NOTSET
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formatter = generic
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[formatter_generic]
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format = %(levelname)-5.5s [%(name)s] %(message)s
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datefmt = %H:%M:%S
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