63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
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"""首响时长+回复率聚合列(msg_daily_stats / stat_daily_staff 各 3 列)
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Revision ID: d9e0f1a2b3c4
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Revises: c3d4e5f6a7b8
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Create Date: 2026-09-07
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数据分析板块批1(A1+A2,2026-09-07):管理层要看「每个人的响应质量」。
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两表各加 cust_threads / threads_answered / fr_sum_ms——消息串算法见
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app/storage/summary.py(口径与 8-24 spec 对齐,日切近似 v1)。
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fr_cnt ≡ threads_answered(被回串数=样本数),不单列。
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幂等:sa.inspect 先查列存在则跳过(照 9b0d0c133035 惯例,SQLite/MySQL
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通用);downgrade 对称删列。模型侧 models.py 同步双声明,防 alembic
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autogenerate 反 DROP。NOT NULL + server_default 0:旧行/旧构造不传也不炸。
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"""
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from collections.abc import Sequence
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision: str = "d9e0f1a2b3c4"
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down_revision: str | Sequence[str] | None = "c3d4e5f6a7b8"
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branch_labels: str | Sequence[str] | None = None
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depends_on: str | Sequence[str] | None = None
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_COLUMNS: tuple[tuple[str, str, sa.types.TypeEngine], ...] = (
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("msg_daily_stats", "cust_threads", sa.Integer()),
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("msg_daily_stats", "threads_answered", sa.Integer()),
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("msg_daily_stats", "fr_sum_ms", sa.BigInteger()),
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("stat_daily_staff", "cust_threads", sa.Integer()),
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("stat_daily_staff", "threads_answered", sa.Integer()),
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("stat_daily_staff", "fr_sum_ms", sa.BigInteger()),
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)
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def _has_column(bind, table: str, column: str) -> bool:
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insp = sa.inspect(bind)
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if not insp.has_table(table):
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return False
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return column in {c["name"] for c in insp.get_columns(table)}
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def upgrade() -> None:
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"""Upgrade schema."""
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bind = op.get_bind()
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for table, column, type_ in _COLUMNS:
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if _has_column(bind, table, column):
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continue # 幂等:已加过则跳过
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op.add_column(
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table,
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sa.Column(column, type_, nullable=False, server_default=sa.text("0")),
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)
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def downgrade() -> None:
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"""Downgrade schema."""
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bind = op.get_bind()
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for table, column, _ in _COLUMNS:
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if _has_column(bind, table, column):
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op.drop_column(table, column)
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