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datasentry-core

DataSentry AI 核心领域模型与引擎:连接器、检测器、融合、评分、 修复、规则引擎与隐私脱敏。纯离线、零网络依赖,可独立测试。

pip install datasentry-core

模块

  • connectors/ — 多格式数据源(CSV / Parquet / JSONL / XLSX)
  • detectors/ — 检测器注册表与 36+ 内置检测器(Detector 协议)
  • engine/ — 画像、融合、评分
  • repair/ — 修复引擎(propose → preview → apply → rollback)
  • rules/ — 规则模型与预运行引擎(期望语义取反)
  • privacy/ — 确定性 PII 脱敏(mask_profile / mask_rows)
  • llm/ — LLM Provider 协议与数据结构(零网络)
  • plugins.py — 检测器插件加载(插件 API v1,ADR-031)

使用

from datasentry_core.connectors import DataSourceSpec, default_registry
from datasentry_core.detectors.initial import register_default_detectors
from datasentry_core.detectors import DetectorRegistry
from datasentry_core.detectors.runner import ScanRunner

registry = DetectorRegistry()
register_default_detectors(registry)
runner = ScanRunner(registry)

handle = default_registry().open(DataSourceSpec(source_type="csv", path="data.csv"))
runs = runner.run_all(handle, config)

许可

Apache-2.0。完整产品(CLI / API / UI)见 datasentry 包。

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