Set up Cursor Cloud development environment#20
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Co-authored-by: TuanNX <tuannx87@gmail.com>
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Architecture Drift ReportAlgorithm: PKG | Entities: 656 | Components: 7 Drift from Baseline
Changes
Smells (1)
Generated by arcade-agent |
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🤖 Architecture Analysis SummaryPowered by arcade-agent — automatic architectural self-analysis 📈 Metric EvolutionBaseline commit: Legend: 🟢 better · 🔴 worse · 🟡 low impact · ⚪ no change
🏛️ Current Architecture
🧭 Principle Signals
🎯 Score DriversBiggest risks
Strongest areas
🕸️ High-Level Designgraph TD
Algorithms["Algorithms\n39 entities\n5 classes / 3 methods"]
Budget["Budget\n3 entities\n0 classes / 0 methods"]
Cache["Cache\n4 entities\n0 classes / 0 methods"]
Ci["Ci\n5 entities\n0 classes / 0 methods"]
Exporters["Exporters\n14 entities\n1 classes / 0 methods"]
Incremental["Incremental\n2 entities\n1 classes / 2 methods"]
Parsers["Parsers\n17 entities\n11 classes / 27 methods"]
Serialization["Serialization\n8 entities\n0 classes / 0 methods"]
Tools["Tools\n20 entities\n2 classes / 1 methods"]
Cache --> Serialization
Ci --> Algorithms
Ci --> Exporters
Ci --> Serialization
Ci --> Tools
Serialization --> Algorithms
Serialization --> Parsers
Tools --> Algorithms
Tools --> Cache
Tools --> Exporters
Tools --> Parsers
🏗️ Components breakdown
🚨 Architectural Smells✅ No architectural smells detected. 📈 Evolution vs BaselineBaseline commit: Architecture-to-Architecture (A2A) Comparison
Component matching detailsMatched:
High-level component statistics
Before/After Mermaid diagramsBaseline graph TD
Algorithms["Algorithms\n39 entities\n5 classes / 3 methods"]
Budget["Budget\n3 entities\n0 classes / 0 methods"]
Cache["Cache\n4 entities\n0 classes / 0 methods"]
Ci["Ci\n5 entities\n0 classes / 0 methods"]
Exporters["Exporters\n14 entities\n1 classes / 0 methods"]
Incremental["Incremental\n2 entities\n1 classes / 2 methods"]
Parsers["Parsers\n17 entities\n11 classes / 27 methods"]
Serialization["Serialization\n8 entities\n0 classes / 0 methods"]
Tools["Tools\n20 entities\n2 classes / 1 methods"]
Cache --> Serialization
Ci --> Algorithms
Ci --> Exporters
Ci --> Serialization
Ci --> Tools
Serialization --> Algorithms
Serialization --> Parsers
Tools --> Algorithms
Tools --> Cache
Tools --> Exporters
Tools --> Parsers
Current graph TD
Algorithms["Algorithms\n39 entities\n5 classes / 3 methods"]
Budget["Budget\n3 entities\n0 classes / 0 methods"]
Cache["Cache\n4 entities\n0 classes / 0 methods"]
Ci["Ci\n5 entities\n0 classes / 0 methods"]
Exporters["Exporters\n14 entities\n1 classes / 0 methods"]
Incremental["Incremental\n2 entities\n1 classes / 2 methods"]
Parsers["Parsers\n17 entities\n11 classes / 27 methods"]
Serialization["Serialization\n8 entities\n0 classes / 0 methods"]
Tools["Tools\n20 entities\n2 classes / 1 methods"]
Cache --> Serialization
Ci --> Algorithms
Ci --> Exporters
Ci --> Serialization
Ci --> Tools
Serialization --> Algorithms
Serialization --> Parsers
Tools --> Algorithms
Tools --> Cache
Tools --> Exporters
Tools --> Parsers
Component dependency delta
💡 CI/CD Insights
📄 View HTML reports and artifacts This comment is auto-generated by the self-dogfooding CI job. It updates on every push to this PR. |
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Summary
Sets up and verifies the development environment for
arcade-agent(Python 3.12+ library/CLI for software architecture analysis). No application code changed — only addsAGENTS.mdwith durable cloud-agent notes. The dependency-refresh update script is configured separately via the environment setup tool.Environment
.venv(.gitignored).pip install -e ".[dev,languages,mcp]".python3.12-venvsystem package (installed into the snapshot).Verification (all from
.venv)ruff check src/ tests/pytest --tb=shortmypy src/python examples/basic_analysis.py src/arcade_agent --language python -o report.htmlThe one failing test (
tests/test_cache.py::test_cache_key_changes_with_file_modification) is an environment/filesystem limitation: the workspace is onoverlayfswith coarsest_mtime_nsgranularity, so two rapid writes hash to the same cache key. Not a code defect.Hello-world
Ran the full
ingest → parse → recover → detect_smells → compute_metrics → visualizepipeline against the project's own source and rendered the generated HTML report in a browser to confirm core functionality works end-to-end.