stock-data-skill
OpenClaw Skill for stock data analysis
Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install datadrivenconstruction/data-lineage-tracker打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Track the origin, transformations, and flow of construction data through systems. Provides audit trails for compliance, helps debug data issues, and ensures data governance.
Construction projects require data accountability:
from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional, Set
from datetime import datetime
from enum import Enum
import json
import hashlib
import uuid
class TransformationType(Enum):
EXTRACT = "extract"
TRANSFORM = "transform"
LOAD = "load"
AGGREGATE = "aggregate"
JOIN = "join"
FILTER = "filter"
CALCULATE = "calculate"
MANUAL_EDIT = "manual_edit"
IMPORT = "import"
EXPORT = "export"
@dataclass
class DataSource:
id: str
name: str
system: str
location: str
owner: str
created_at: datetime
@dataclass
class TransformationStep:
id: str
transformation_type: TransformationType
description: str
input_entities: List[str]
output_entities: List[str]
logic: str # SQL, Python, or description
performed_by: str # user or system
performed_at: datetime
parameters: Dict[str, Any] = field(default_factory=dict)
@dataclass
class DataEntity:
id: str
name: str
source_id: str
entity_type: str # table, file, field, record
created_at: datetime
version: int = 1
checksum: Optional[str] = None
parent_entities: List[str] = field(default_factory=list)
metadata: Dict[str, Any] = field(default_factory=dict)
@dataclass
class LineageRecord:
id: str
entity_id: st...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Data Lineage Tracker for Construction
## Overview
Track the origin, transformations, and flow of construction data through systems. Provides audit trails for compliance, helps debug data issues, and ensures data governance.
## Business Case
Construction projects require data accountability:
- **Audit Compliance**: Know where every number came from
- **Issue Resolution**: Trace data problems to their source
- **Change Impact**: Understand what downstream systems are affected
- **Regulatory Requirements**: Maintain data provenance for legal/insurance
## Technical Implementation
```python
from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional, Set
from datetime import datetime
from enum import Enum
import json
import hashlib
import uuid
class TransformationType(Enum):
EXTRACT = "extract"
TRANSFORM = "transform"
LOAD = "load"
AGGREGATE = "aggregate"
JOIN = "join"
FILTER = "filter"
CALCULATE = "calculate"
MANUAL_EDIT = "manual_edit"
IMPORT = "import"
EXPORT = "export"
@dataclass
class DataSource:
id: str
name: str
system: str
location: str
owner: str
created_at: datetime
@dataclass
class TransformationStep:
id: str
transformation_type: TransformationType
description: str
input_entities: List[str]
output_entities: List[str]
logic: str # SQL, Python, or description
performed_by: str # user or system
performed_at: datetime
parameters: Dict[str, Any] = field(default_factory=dict)
@dataclass
class DataEntity:
id: str
name: str
source_id: str
entity_type: str # table, file, field, record
created_at: datetime
version: int = 1
checksum: Optional[str] = None
parent_entities: List[str] = field(default_factory=list)
metadata: Dict[str, Any] = field(default_factory=dict)
@dataclass
class LineageRecord:
id: str
entity_id: st...OpenClaw Skill for stock data analysis
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