Enhance Telegram bot with database integration and API features
- Added SQLite database support with Alembic for migrations. - Implemented FastAPI for HTTP API to manage duties. - Updated configuration to include database URL and HTTP port. - Created entrypoint script for Docker to handle migrations and permissions. - Expanded command handlers to register users and display duties. - Developed a web application for calendar display of duties. - Included necessary Pydantic schemas and SQLAlchemy models for data handling. - Updated requirements.txt to include new dependencies for FastAPI and SQLAlchemy.
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db/schemas.py
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43
db/schemas.py
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"""Pydantic schemas for API and validation."""
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from pydantic import BaseModel, ConfigDict
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class UserBase(BaseModel):
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full_name: str
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username: str | None = None
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first_name: str | None = None
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last_name: str | None = None
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class UserCreate(UserBase):
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telegram_user_id: int
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class UserInDb(UserBase):
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id: int
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telegram_user_id: int
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model_config = ConfigDict(from_attributes=True)
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class DutyBase(BaseModel):
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user_id: int
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start_at: str # ISO 8601
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end_at: str # ISO 8601
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class DutyCreate(DutyBase):
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pass
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class DutyInDb(DutyBase):
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id: int
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model_config = ConfigDict(from_attributes=True)
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class DutyWithUser(DutyInDb):
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"""Duty with full_name for calendar display."""
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full_name: str
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model_config = ConfigDict(from_attributes=True)
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