openDAQ/openDAQ
Feb 2025 – Mar 2025
2 Months active
Languages Used
AsciiDocC++CMake
Technical Skills
C++C++ DevelopmentCMakeData RecordingDocumentationFile I/O
David Norris
PROFILE
David Norris
David Norris developed a robust data recording framework for the openDAQ/openDAQ repository, focusing on persistent signal capture and scalable storage. He designed and implemented the IRecorder interface and the BasicCsvRecorder module in C++, enabling dynamic signal connections and reliable CSV output with strong file I/O error handling. To improve cross-platform reliability, David refactored filesystem interactions to use the project’s internal coretypes/filesystem.h. He also introduced asynchronous data capture by adding a background worker thread, ensuring non-blocking acquisition and higher throughput. Comprehensive documentation updates and consistent API design contributed to improved onboarding and established a solid foundation for future enhancements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
2,723
Activity Months2
Your Network
13 peopleSame Organization
@opendaq.com1
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for openDAQ/openDAQ focus on delivering non-blocking data capture and cross-platform reliability. Completed asynchronous CSV packet recording with a standardized filesystem, enabling robust long-term recording workflows across supported platforms.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for openDAQ/openDAQ focus on delivering non-blocking data capture and cross-platform reliability. Completed asynchronous CSV packet recording with a standardized filesystem, enabling robust long-term recording workflows across supported platforms.
March 2025
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 — openDAQ/openDAQ: Key features and outcomes focused on establishing a robust data recording pathway and aligning the API for scalable persistence. Key features delivered: - Data Recording Framework: Introduced IRecorder interface and BasicCsvRecorder to record input signals to CSV with dynamic signal connections, controllable via properties/functions, and robust file I/O error handling. Renamed the previous BasicRecorder to BasicCsvRecorder for clarity and consistency. Documentation updated to reflect the recorder usage and API contract. Major bugs fixed: - No explicit bug fixes recorded this month. Notable stability and reliability improvements stem from enhanced I/O error handling and a clearer API as part of the new recorder framework. Impact and accomplishments: - Establishes a persistent data recording pathway for signals, enabling reliable data capture for analysis, debugging, and metrics. - Provides a standard interface (IRecorder) and a CSV-based recorder that can be extended to other backends, reducing integration risk and accelerating data-driven workflows. - Improved onboarding and developer adoption through updated documentation and consistent naming. Technologies/skills demonstrated: - API design and refactoring (IRecorder, BasicCsvRecorder) - Modular recorder architecture with dynamic signal wiring - Robust file I/O error handling and reliability improvements - Documentation practices and versioned commits for traceability Commit highlights: - 1f98c41e5fa13a565bb4c60f8cef6522a7383d4c: initial BasicRecorder implementation - 57601cd0775374cf502b1f3128c2925c212f858c: add IRecorder interface - e66f4f444a0cc9df29d7d1a01ed565f8094f1f38: rename basic CSV recorder - a59f9f8b6e4522701a7b26e8ef7e2c01cdf802f5: IRecorder / BasicCsvRecorder docs
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 — openDAQ/openDAQ: Key features and outcomes focused on establishing a robust data recording pathway and aligning the API for scalable persistence. Key features delivered: - Data Recording Framework: Introduced IRecorder interface and BasicCsvRecorder to record input signals to CSV with dynamic signal connections, controllable via properties/functions, and robust file I/O error handling. Renamed the previous BasicRecorder to BasicCsvRecorder for clarity and consistency. Documentation updated to reflect the recorder usage and API contract. Major bugs fixed: - No explicit bug fixes recorded this month. Notable stability and reliability improvements stem from enhanced I/O error handling and a clearer API as part of the new recorder framework. Impact and accomplishments: - Establishes a persistent data recording pathway for signals, enabling reliable data capture for analysis, debugging, and metrics. - Provides a standard interface (IRecorder) and a CSV-based recorder that can be extended to other backends, reducing integration risk and accelerating data-driven workflows. - Improved onboarding and developer adoption through updated documentation and consistent naming. Technologies/skills demonstrated: - API design and refactoring (IRecorder, BasicCsvRecorder) - Modular recorder architecture with dynamic signal wiring - Robust file I/O error handling and reliability improvements - Documentation practices and versioned commits for traceability Commit highlights: - 1f98c41e5fa13a565bb4c60f8cef6522a7383d4c: initial BasicRecorder implementation - 57601cd0775374cf502b1f3128c2925c212f858c: add IRecorder interface - e66f4f444a0cc9df29d7d1a01ed565f8094f1f38: rename basic CSV recorder - a59f9f8b6e4522701a7b26e8ef7e2c01cdf802f5: IRecorder / BasicCsvRecorder docs
Activity
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Quality Metrics
Correctness91.8%
Maintainability90.0%
Architecture88.4%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
AsciiDocC++CMake
Technical Skills
Asynchronous ProgrammingC++C++ DevelopmentCMakeData RecordingDocumentationFile I/OInterface DesignModule DevelopmentMultithreadingRefactoringSoftware ArchitectureSoftware Module Development
Repositories Contributed To
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