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shyimon

PROFILE

Shyimon

Cosimo Botticelli developed a dynamic KPI engine and supporting API framework for the belgio99/smartfactory repository, focusing on scalable, containerized deployment and robust formula management. He implemented dynamic formula parsing, time-period support, and API endpoints using Python and FastAPI, enabling flexible KPI calculation and retrieval. The solution integrated a knowledge base for externalized formula and unit management, with error handling for edge cases such as division by zero. Botticelli improved repository hygiene through code cleanup, standardized folder structures, and enhanced documentation. Docker and Docker Compose were used to ensure reproducible deployments, supporting both development and production environments with environment-based configuration.

Overall Statistics

Feature vs Bugs

79%Features

Repository Contributions

43Total
Bugs
3
Commits
43
Features
11
Lines of code
2,199
Activity Months2

Work History

December 2024

19 Commits • 3 Features

Dec 1, 2024

December 2024: Delivered containerized KPI Engine deployment and a Knowledge Base (KB) backed KPI computation pipeline, enabling reproducible, scalable production deployments and externalized formula management. Implemented API exposure for dynamic KPI retrieval with robust error handling, unit support, and resilience. Also restructured project documentation to improve accessibility and onboarding for new contributors.

November 2024

24 Commits • 8 Features

Nov 1, 2024

November 2024 monthly summary for belgio99/smartfactory: Delivered a foundational KPI engine and dynamic KPI framework with API scaffolding, dynamic formula parsing, and time-period support (KPI Calculation API v0.1). Expanded KPI catalog and completed taxonomy for uncalculable KPIs. Implemented dynamic KPI handling with mocks and dynamic invocation, and enhanced the JSON API to return formula results. Strengthened deployment readiness with environment configuration (gitignore, env vars, cache) and improved repository hygiene (notebook cleanup, cache ignore, folder name consistency). These efforts deliver faster KPI-enabled insights, broader KPI coverage, and more reliable deployment.

Activity

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Quality Metrics

Correctness82.0%
Maintainability83.8%
Architecture81.0%
Performance73.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

DockerfileGitJSONJupyter NotebookMarkdownPythonYAML

Technical Skills

API DevelopmentAPI IntegrationBackend DevelopmentCode CleanupCode OrganizationConfigurationContainerizationData AnalysisData EngineeringData ProcessingDockerDocker ComposeEnvironment ConfigurationEnvironment VariablesError Handling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

belgio99/smartfactory

Nov 2024 Dec 2024
2 Months active

Languages Used

GitJSONJupyter NotebookPythonDockerfileMarkdownYAML

Technical Skills

API DevelopmentAPI IntegrationBackend DevelopmentCode CleanupCode OrganizationConfiguration

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