Field-level confidence evaluator SDK for routed extraction results
Project description
routed-confidence
字段级置信度评估 SDK。
这个包只负责一件事:输入一条提取结果,输出每个字段的置信度分数。它不计算检出率、误伤率、日报统计,也不包含 Web、API 服务或自动迭代逻辑。
位置
源码目录:
routed_confidence/
主要入口:
routed_confidence/evaluator.py
内部评分组件:
routed_confidence/internal/confidence_evaluators/
默认规则文件:
routed_confidence/rules/meeting_ruler.json
安装
在当前仓库本地开发安装:
pip install -e .
从本地 wheel 安装:
python3 -m pip wheel . --no-deps --no-build-isolation -w dist
pip install dist/routed_confidence-0.1.0-py3-none-any.whl
如果发布到 PyPI 或私有 PyPI 后:
pip install routed-confidence
Python 导入名使用下划线:
from routed_confidence import ConfidenceEvaluator
使用
from routed_confidence import ConfidenceEvaluator
record = {
"extraction_result": {
"会议召开时间": {
"value": "2026-05-20 14:00:00",
"content": "会议召开时间为2026年5月20日14:00",
"type": "text",
"title_path": ["一、会议基本情况"],
}
},
"input_text": "会议召开时间为2026年5月20日14:00。",
}
evaluator = ConfidenceEvaluator()
result = evaluator.evaluate(record)
print(result)
也可以使用一次性函数:
from routed_confidence import evaluate_confidence
result = evaluate_confidence(record)
返回格式
{
"field_scores": {
"会议召开时间": {
"source_value": "2026-05-20 14:00:00",
"total_score": 0.75,
"dimension_scores": {
"schema": 1.0,
"similarity": 0.82,
"historical": 0.5,
"relation": 1.0
},
"reason": "字段符合规则要求",
"violations": [],
"suggestions": []
}
},
"summary": {
"total_fields": 1,
"average_score": 0.75
}
}
注意:SDK 不返回 is_correct。is_correct 属于“标注数据 vs 提取数据”的评测逻辑,不属于置信度 SDK。
自定义规则和权重
from routed_confidence import ConfidenceEvaluator
evaluator = ConfidenceEvaluator(
rules_file="/path/to/meeting_ruler.json",
weights={
"schema": 0.1,
"sim": 0.2,
"wilson": 0.1,
"relation": 0.6,
},
)
如果不传 rules_file,SDK 会优先寻找当前项目里的 schema/ruler/meeting_ruler.json,找不到时使用包内置的默认规则。
发布
安装构建工具:
pip install build twine
构建:
python -m build
会生成:
dist/routed_confidence-0.1.0-py3-none-any.whl
dist/routed_confidence-0.1.0.tar.gz
上传到 PyPI:
twine upload dist/*
上传到私有 PyPI:
twine upload --repository-url https://your-private-pypi/simple/ dist/*
发布后安装:
pip install routed-confidence
当前边界
- 只做单条/字段级置信度评估。
- 不计算检出率。
- 不计算误伤率。
- 不依赖
methods/api、methods/web_conf、methods/reflect_rule。 - 不要求用户导入内部四维组件。
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