refactor(management): 种子函数移入management包+深拷贝冻结配置+清理死代码
Co-Authored-By: Claude Code <noreply@anthropic.com>
This commit is contained in:
@@ -7,6 +7,10 @@ DEFAULT_SCORE_CONFIG 为 v1.0 试算起点——所有阈值标「试算」,调
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"""
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from __future__ import annotations
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import copy
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import sqlalchemy as sa
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# direction: +1 越大越好 / -1 越小越好;caliber 注明与看板差异
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METRIC_DEFINITIONS: dict[str, dict] = {
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"msg_sent": {"name": "发出消息(1:1)", "unit": "条", "direction": 1,
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@@ -103,3 +107,37 @@ def validate_config(config: dict) -> list[str]:
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if src not in METRIC_DEFINITIONS:
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problems.append(f"{key}.{code} 引用未定义指标 {src}")
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return problems
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async def _seed_score_config(session) -> str | None:
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"""种子默认评分配置;已存在同版本返回 None(幂等)。纯会话函数可测。
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同 ensure_starter_words 先例:域包提供纯会话种子函数,CLI 只做接线。
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config_json 用 deepcopy 冻结快照——JSON 列须整列重赋值,深拷贝防止
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长驻 API 进程未来的原地修改波及模块常量。
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"""
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from app.db.models import EmployeeScoreConfig
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problems = validate_config(DEFAULT_SCORE_CONFIG)
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if problems:
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raise ValueError(f"score config invalid: {problems}")
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exists = (
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await session.execute(
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sa.select(EmployeeScoreConfig.id).where(
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EmployeeScoreConfig.version == DEFAULT_SCORE_CONFIG["version"]
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)
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)
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).scalar_one_or_none()
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if exists is not None:
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return None
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session.add(
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EmployeeScoreConfig(
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version=DEFAULT_SCORE_CONFIG["version"],
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name=DEFAULT_SCORE_CONFIG["name"],
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status="active",
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config_json=copy.deepcopy(DEFAULT_SCORE_CONFIG),
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created_by="seed-cli",
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)
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)
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await session.flush()
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return DEFAULT_SCORE_CONFIG["version"]
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@@ -17,6 +17,7 @@ Three invocations (plus analytics backfills, see below)::
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python -m app.sync.cli sensitive-scan --full
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python -m app.sync.cli first-reply-facts
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python -m app.sync.cli employee-metrics
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python -m app.sync.cli score-config
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Auth + DB
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---------
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@@ -471,43 +472,12 @@ async def _cmd_employee_metrics(args: argparse.Namespace) -> int:
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await engine.dispose()
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async def _seed_score_config(session) -> str | None:
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"""种子默认评分配置;已存在同版本返回 None(幂等)。纯会话函数可测。"""
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from app.db.models import EmployeeScoreConfig
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from app.management.metric_definitions import (
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DEFAULT_SCORE_CONFIG,
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validate_config,
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)
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problems = validate_config(DEFAULT_SCORE_CONFIG)
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if problems:
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raise ValueError(f"score config invalid: {problems}")
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exists = (
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await session.execute(
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sa.select(EmployeeScoreConfig.id).where(
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EmployeeScoreConfig.version == DEFAULT_SCORE_CONFIG["version"]
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)
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)
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).scalar_one_or_none()
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if exists is not None:
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return None
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session.add(
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EmployeeScoreConfig(
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version=DEFAULT_SCORE_CONFIG["version"],
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name=DEFAULT_SCORE_CONFIG["name"],
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status="active",
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config_json=DEFAULT_SCORE_CONFIG,
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created_by="seed-cli",
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)
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)
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await session.flush()
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return DEFAULT_SCORE_CONFIG["version"]
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async def _cmd_score_config(args: argparse.Namespace) -> int:
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settings = get_settings()
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engine, session_maker = await _init_db(settings.db_url)
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try:
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from app.management.metric_definitions import _seed_score_config
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async with session_maker() as session:
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version = await _seed_score_config(session)
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await session.commit()
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@@ -36,7 +36,6 @@ def test_metric_definitions_cover_scored_metrics():
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# 每个参与评分的 metric_code 都有元数据(名称/单位/方向)
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for dim in DEFAULT_SCORE_CONFIG["dimensions"].values():
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for code in dim.get("metrics", {}):
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md = METRIC_DEFINITIONS[code if code in METRIC_DEFINITIONS else "active_share"]
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# band 型指标的 key 带 _band 后缀,spec 里有 metric 字段:
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spec = dim["metrics"][code]
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src = spec.get("metric", code)
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@@ -46,7 +45,7 @@ def test_metric_definitions_cover_scored_metrics():
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async def test_seed_and_idempotent(make_session):
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from app.sync.cli import _seed_score_config # 纯会话函数
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from app.management.metric_definitions import _seed_score_config # 纯会话函数
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s = make_session
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v1 = await _seed_score_config(s)
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await s.commit()
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