92ec910a13
Shared backend + frontend for multi-customer EMS deployments. - 12 enterprise modules: quota, cost, charging, maintenance, analysis, etc. - 120+ API endpoints, 37 database tables - Customer config mechanism (CUSTOMER env var + YAML config) - Collectors: Modbus TCP, MQTT, HTTP API, Sungrow iSolarCloud - Frontend: React 19 + Ant Design + ECharts + Three.js - Infrastructure: Redis cache, rate limiting, aggregation engine Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
54 lines
2.1 KiB
Python
54 lines
2.1 KiB
Python
"""Add quota tables
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Revision ID: 005_quota
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Revises: 004_charging
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Create Date: 2026-04-03
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"""
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from alembic import op
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import sqlalchemy as sa
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revision = "005_quota"
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down_revision = "004_charging"
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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# --- energy_quotas ---
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op.create_table(
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"energy_quotas",
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sa.Column("id", sa.Integer, primary_key=True, autoincrement=True),
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sa.Column("name", sa.String(200), nullable=False),
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sa.Column("target_type", sa.String(50), nullable=False),
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sa.Column("target_id", sa.Integer, nullable=False),
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sa.Column("energy_type", sa.String(50), nullable=False),
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sa.Column("period", sa.String(20), nullable=False),
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sa.Column("quota_value", sa.Float, nullable=False),
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sa.Column("unit", sa.String(20), default="kWh"),
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sa.Column("warning_threshold_pct", sa.Float, default=80),
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sa.Column("alert_threshold_pct", sa.Float, default=95),
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sa.Column("is_active", sa.Boolean, default=True),
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sa.Column("created_by", sa.Integer, sa.ForeignKey("users.id")),
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sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.func.now()),
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sa.Column("updated_at", sa.DateTime(timezone=True), server_default=sa.func.now()),
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)
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# --- quota_usage ---
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op.create_table(
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"quota_usage",
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sa.Column("id", sa.Integer, primary_key=True, autoincrement=True),
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sa.Column("quota_id", sa.Integer, sa.ForeignKey("energy_quotas.id"), nullable=False),
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sa.Column("period_start", sa.DateTime(timezone=True), nullable=False),
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sa.Column("period_end", sa.DateTime(timezone=True), nullable=False),
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sa.Column("actual_value", sa.Float, default=0),
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sa.Column("quota_value", sa.Float, nullable=False),
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sa.Column("usage_rate_pct", sa.Float, default=0),
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sa.Column("status", sa.String(20), default="normal"),
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sa.Column("calculated_at", sa.DateTime(timezone=True), server_default=sa.func.now()),
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)
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def downgrade() -> None:
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op.drop_table("quota_usage")
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op.drop_table("energy_quotas")
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