Data validation using Python type hints
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A data validation and serialization system for user activity records that customizes output formatting for reporting purposes.
@generates
from datetime import datetime
from pydantic import BaseModel
class UserActivity(BaseModel):
"""Represents a single user activity event."""
user_id: int
action: str
timestamp: datetime
# Customizes serialization to format timestamp and uppercase action
class ActivityReport(BaseModel):
"""Generates a report with summary statistics from activity data."""
activities: list[UserActivity]
# Customizes serialization to add computed fields: total_activities and action_breakdownProvides data validation and custom serialization support.
@satisfied-by
Install with Tessl CLI
npx tessl i tessl/pypi-pydanticdocs
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