REPOSITORY
ontariotech/path-optimization Private
[참조 MVP] 농작업 경로 최적화 A-SW — 작업 구간을 최근접 휴리스틱으로 재정렬해 공차 이동거리를 줄입니다.
https://git.agrithing.ai/ontariotech/path-optimization.git 31e9d33 feat: adopt python SERVICE SDV reference implementation
9a8e645 feat: adopt python SERVICE SDV reference implementation
78244d2 ci: add language-specific static and dynamic analysis
3e39860 docs: define component scope and interface contract
511863b ci: verify contract tests and evidence package
de87e68 feat: add executable reference MVP
fe5cc8b docs: define component scope and interface contract
2 items · main
·/ .asw/quality-profile.json
json · 949 B · 265ac1a Download
{ "schemaVersion": "asw.quality-profile/v1", "repository": "ontariotech/path-optimization", "scope": "platform", "language": "python", "runtime": "python>=3.11", "executionTarget": "service", "buildSystem": "unittest", "staticAnalysis": { "adapter": "python-ast-policy", "command": "python tools/quality_scan.py static --output dist/quality/static-analysis.json", "reportFormat": "asw.quality-result/v1", "required": true, "thresholds": { "critical": 0, "high": 0, "warnings": 0 } }, "dynamicAnalysis": { "adapter": "unittest-scenario", "command": "python tools/quality_scan.py dynamic --output dist/quality/dynamic-analysis.json", "reportFormat": "asw.quality-result/v1", "required": true, "thresholds": { "minimumPassRate": 1 } }, "evidence": [ "quality/static-analysis.json", "quality/dynamic-analysis.json", "quality/summary.json" ]}