- Implemented Pydantic models for Kubernetes cluster state representation in `cluster.py`. - Created a `Resource` class for converting JSON/dict to Python objects in `resource.py`. - Established user models and services for user management, including password hashing and JWT token generation. - Developed application orchestration services for managing Kubernetes applications, including installation and uninstallation. - Added cluster service for retrieving cluster status and health reports. - Introduced node service for fetching node resource details and health status. - Implemented user service for handling user authentication and management.
29 lines
704 B
Mako
29 lines
704 B
Mako
"""${message}
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Revision ID: ${up_revision}
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Revises: ${down_revision | comma,n}
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Create Date: ${create_date}
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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${imports if imports else ""}
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# revision identifiers, used by Alembic.
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revision: str = ${repr(up_revision)}
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down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)}
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branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
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depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
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def upgrade() -> None:
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"""Upgrade schema."""
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${upgrades if upgrades else "pass"}
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def downgrade() -> None:
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"""Downgrade schema."""
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${downgrades if downgrades else "pass"}
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