Bruno Charest
493668f746
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82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
"""
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Model for storing ansible-lint results per playbook.
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"""
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from datetime import datetime, timezone
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from typing import Optional
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from sqlalchemy import Column, DateTime, Integer, String, Text, JSON
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from sqlalchemy.orm import Mapped, mapped_column
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from .database import Base
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class PlaybookLintResult(Base):
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"""Stores the latest ansible-lint result for each playbook."""
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__tablename__ = "playbook_lint_results"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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# Playbook filename (unique constraint)
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filename: Mapped[str] = mapped_column(String(255), unique=True, nullable=False, index=True)
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# Quality score (0-100)
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quality_score: Mapped[int] = mapped_column(Integer, nullable=False, default=100)
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# Summary counts
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total_issues: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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errors_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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warnings_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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# Execution time in milliseconds
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execution_time_ms: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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# Full issues list as JSON
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issues_json: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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# Raw output from ansible-lint (for copy to clipboard)
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raw_output: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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# Timestamps
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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nullable=False,
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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(timezone=True),
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nullable=False,
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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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def __repr__(self) -> str:
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return f"<PlaybookLintResult(filename={self.filename}, score={self.quality_score})>"
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def to_dict(self) -> dict:
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"""Convert to dictionary for API response."""
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import json
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issues = []
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if self.issues_json:
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try:
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issues = json.loads(self.issues_json)
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except (json.JSONDecodeError, TypeError):
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issues = []
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return {
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"id": self.id,
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"filename": self.filename,
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"quality_score": self.quality_score,
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"summary": {
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"total": self.total_issues,
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"errors": self.errors_count,
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"warnings": self.warnings_count,
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},
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"issues": issues,
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"execution_time_ms": self.execution_time_ms,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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"updated_at": self.updated_at.isoformat() if self.updated_at else None,
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}
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