Add production logging, datetime fixes, and session tests
DateTime Timezone Handling (Critical Bug Fix): - Updated all models to use DateTime(timezone=True) for PostgreSQL - Changed datetime defaults to lambda: datetime.now(timezone.utc) - Fixed mixing of timezone-aware and timezone-naive datetime objects - Resolved Internal Server Errors in session completion endpoint - Affected models: User, Team, Tree, Session, Attachment Production Logging System: - Created logging_config.py with structured logging setup - Added log rotation (10MB files, 10 backups) for production - Implemented RequestLoggingMiddleware with correlation IDs - Added ErrorLoggingMiddleware for comprehensive error tracking - Integrated logging into main.py application startup - Supports dev/prod modes with appropriate log levels Integration Tests - Session Workflow: - Created test_sessions.py with 12 comprehensive tests - Session lifecycle: create, update, complete - Session export in multiple formats (markdown, text, HTML) - Error handling and authorization checks - Added pytest.ini with coverage configuration - Added requirements-dev.txt with pytest dependencies Following 2026 FastAPI best practices for timezone handling and structured logging. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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@@ -1,5 +1,5 @@
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import uuid
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from datetime import datetime
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from datetime import datetime, timezone
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from typing import Optional, Any
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from sqlalchemy import String, Text, DateTime, ForeignKey, Boolean, Integer, Index
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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@@ -33,13 +33,13 @@ class Tree(Base):
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is_active: Mapped[bool] = mapped_column(Boolean, default=True)
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version: Mapped[int] = mapped_column(Integer, default=1)
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created_at: Mapped[datetime] = mapped_column(
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DateTime,
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default=datetime.utcnow
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc)
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime,
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default=datetime.utcnow,
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onupdate=datetime.utcnow
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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onupdate=lambda: datetime.now(timezone.utc)
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)
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usage_count: Mapped[int] = mapped_column(Integer, default=0)
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