ONE-F-M/one_fm
Nov 2024 – Oct 2025
12 Months active
Languages Used
JavaScriptPythonSQLHTMLpythonText
Technical Skills
Backend DevelopmentDocument ManagementERP CustomizationERPNext FrameworkFrappe FrameworkFrontend Development
Ebuka
PROFILE
Ebuka
Ebuka Akeru developed and maintained core business workflows for the ONE-F-M/one_fm repository, delivering features across procurement, HR, attendance, and automation modules. He engineered robust backend systems using Python, JavaScript, and SQL, focusing on data integrity, workflow automation, and modular code organization. His work included building APIs for video-based check-in, leave management, and procurement validation, as well as integrating AI/ML and face recognition for attendance. Ebuka emphasized test coverage, CI/CD reliability, and code refactoring, addressing both feature delivery and bug resolution. The depth of his contributions ensured scalable, maintainable systems that improved operational efficiency and reduced manual intervention.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
238Total
Bugs
42
Commits
238
Features
98
Lines of code
10,785
Activity Months12
Your Network
13 people
Work History
October 2025
59 Commits • 26 Features
Oct 1, 2025Monthly summary for 2025-10 — ONE-F-M/one_fm Overview: In October 2025, the team delivered a broad set of RFM and procurement enhancements, strengthened data integrity, and expanded automation and governance across modules. The work focused on business value: more accurate pricing, reliable linked records, safer UI interactions, and streamlined workflows. Key features delivered: - RFM enhancements: Added Purpose field; Create RFM from existing RFM; RFM Links; Validate Linked RFP. Representative commits: 2be9b364282ee595bad1d859b550f88cbe532b0d, 5a74439fd6c639479c45d82e50883c9a7071a3a0, 730bbeebeb41dc29ccd595f602068182ed42e805, 46f569f236cbfb97b538f8ac3fc9dd51d78e143b - Pricing and procurement improvements: Set currency, exchange rate and Price List in an RFP; Purchase tracker report enhancements with adaptive columns. Commits: a8e2bd0a0c7064d44888478fa39380e738dbdcf8, 64963778297a53f6415e2905c1367aa4ec25e5ae, cb78ae95eee78247e780069615570a16133e1e9b - Data integrity and cleanup: Remove user references across data models; fix broken links and permission issues; prevent unintended UI entries. Commits: b7c0412a2a795b8e17c8684d6156cdb94131a5ef, 91124fd1b817f330d0e089dbf644cd60cc5c92bf, 1937051a101fae379fe82bb997b7baa54babcfcb, c437bd76d85f725e900522293e7814f89c3daac8, 59a7623d38fbf09aaf1c6dfb279535f9fa1fe214 - Workflow automation and preparation: Auto Set action based on status and nationality; Prepare doctype: set dates; Notify Project Team; Update RFP Workflow. Commits: 1597fe3f98668a9adedff3f05ca39d8b9f32a73f, 3dcee56c1a3fdba733b61ab48307491130f5f7f5, 2ed139b88a29fa93a36a1b210e976a9ea6bdb036, 32d147229397470a2202470291bb5fd4ddb1be69 - Quality and maintainability: Code cleanup (removed prints); Set Quick Entry; Custom fields enhancements; Patch management. Commits: 66be9c72e9a295b4c29ee2663be00e36fb1e1d84, f141fa9233449082f7add61caae5bfc60e3a96ee, 8a7cb5c12964ad31ebb1ac9387ff3d4c68a88aa2, 83161d58b8e3c4d4e9c73492bf030bbcf8b28a83, dde9c1e91321d5d6b917be9d28e7d35ca4ee0409
59 Commits • 26 Features
Oct 1, 2025Monthly summary for 2025-10 — ONE-F-M/one_fm Overview: In October 2025, the team delivered a broad set of RFM and procurement enhancements, strengthened data integrity, and expanded automation and governance across modules. The work focused on business value: more accurate pricing, reliable linked records, safer UI interactions, and streamlined workflows. Key features delivered: - RFM enhancements: Added Purpose field; Create RFM from existing RFM; RFM Links; Validate Linked RFP. Representative commits: 2be9b364282ee595bad1d859b550f88cbe532b0d, 5a74439fd6c639479c45d82e50883c9a7071a3a0, 730bbeebeb41dc29ccd595f602068182ed42e805, 46f569f236cbfb97b538f8ac3fc9dd51d78e143b - Pricing and procurement improvements: Set currency, exchange rate and Price List in an RFP; Purchase tracker report enhancements with adaptive columns. Commits: a8e2bd0a0c7064d44888478fa39380e738dbdcf8, 64963778297a53f6415e2905c1367aa4ec25e5ae, cb78ae95eee78247e780069615570a16133e1e9b - Data integrity and cleanup: Remove user references across data models; fix broken links and permission issues; prevent unintended UI entries. Commits: b7c0412a2a795b8e17c8684d6156cdb94131a5ef, 91124fd1b817f330d0e089dbf644cd60cc5c92bf, 1937051a101fae379fe82bb997b7baa54babcfcb, c437bd76d85f725e900522293e7814f89c3daac8, 59a7623d38fbf09aaf1c6dfb279535f9fa1fe214 - Workflow automation and preparation: Auto Set action based on status and nationality; Prepare doctype: set dates; Notify Project Team; Update RFP Workflow. Commits: 1597fe3f98668a9adedff3f05ca39d8b9f32a73f, 3dcee56c1a3fdba733b61ab48307491130f5f7f5, 2ed139b88a29fa93a36a1b210e976a9ea6bdb036, 32d147229397470a2202470291bb5fd4ddb1be69 - Quality and maintainability: Code cleanup (removed prints); Set Quick Entry; Custom fields enhancements; Patch management. Commits: 66be9c72e9a295b4c29ee2663be00e36fb1e1d84, f141fa9233449082f7add61caae5bfc60e3a96ee, 8a7cb5c12964ad31ebb1ac9387ff3d4c68a88aa2, 83161d58b8e3c4d4e9c73492bf030bbcf8b28a83, dde9c1e91321d5d6b917be9d28e7d35ca4ee0409
October 2025
September 2025
15 Commits • 5 Features
Sep 1, 2025September 2025 monthly summary for ONE-F-M/one_fm. Delivered end-to-end procurement workflow enhancements (RFP/RFM/PO validations and UI state management) with synchronized draft POs. Upgraded Mindee API client to v2 and corrected civil ID data mapping to ensure passport and civil ID fields are reliably extracted and stored. Improved data accuracy in AttendanceCheck with date-range and employee filtering. Expanded session management and RBAC: post-login can optionally record session_end and audit_user; added administrator flag for role-based access control. Strengthened form data submission controls and cleaned test fixtures/patches to improve test reliability. These changes reduce validation errors, accelerate procurement cycles, improve data integrity, enhance security/auditability, and lower operational risk.
September 2025
15 Commits • 5 Features
Sep 1, 2025September 2025 monthly summary for ONE-F-M/one_fm. Delivered end-to-end procurement workflow enhancements (RFP/RFM/PO validations and UI state management) with synchronized draft POs. Upgraded Mindee API client to v2 and corrected civil ID data mapping to ensure passport and civil ID fields are reliably extracted and stored. Improved data accuracy in AttendanceCheck with date-range and employee filtering. Expanded session management and RBAC: post-login can optionally record session_end and audit_user; added administrator flag for role-based access control. Strengthened form data submission controls and cleaned test fixtures/patches to improve test reliability. These changes reduce validation errors, accelerate procurement cycles, improve data integrity, enhance security/auditability, and lower operational risk.
August 2025
57 Commits • 24 Features
Aug 1, 2025August 2025: Delivered end-to-end leave management enhancements, expanded data modeling, testing automation, and CI/CD stability in ONE-F-M/one_fm. Highlights include a new Submit Leave Application flow, HR Settings Custom Fields, and substantial test infrastructure investments. Implemented data model improvements (Gender, Item stock/UoM, company defaults) and workflow enhancements (manual workflow state, leave type validation, and patch lifecycle). Hardened release quality with multiple bug fixes (Reliever Assignment Creation, Location Setting, Leave Application Validation) and CI actions improvements (GitHub Actions fixes) alongside broader test updates and new test data.
57 Commits • 24 Features
Aug 1, 2025August 2025: Delivered end-to-end leave management enhancements, expanded data modeling, testing automation, and CI/CD stability in ONE-F-M/one_fm. Highlights include a new Submit Leave Application flow, HR Settings Custom Fields, and substantial test infrastructure investments. Implemented data model improvements (Gender, Item stock/UoM, company defaults) and workflow enhancements (manual workflow state, leave type validation, and patch lifecycle). Hardened release quality with multiple bug fixes (Reliever Assignment Creation, Location Setting, Leave Application Validation) and CI actions improvements (GitHub Actions fixes) alongside broader test updates and new test data.
August 2025
July 2025
4 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Delivered targeted fixes and logging enhancements in ONE-F-M/one_fm to improve reliability, reduce false positives in access control, and strengthen debugging clarity. Key outcomes include: - Assignment Rule Error Logging Robustness: fixed logging for malformed assignment rule names and enhanced error reporting in the assignment rule module, using commit db2764a06bc0f26b01beaa3a715daae3378fed9c. - Document Access Control False Positives Fix: refined permission checks so errors are raised only when the user genuinely lacks permissions, preventing false positives in RFM document access, with commit a5ae7046142afe2de8307726333d9ecf4dea9137. - Logging: Robustness and Consistency Enhancements (feature): improved error logging by using named arguments for title and message and ensuring exception messages are logged as strings, via commits 4c3a34f56519bd090eb717f14b59165b35569db0 and 9e8252ecbe4e5df8f7083af804043f68f79992aa. Overall impact: increased reliability of the rule and access control workflows, faster issue diagnosis, and a stronger foundation for observability in the RFM system. Technologies/skills demonstrated: Python logging best practices, structured error handling, and disciplined code-quality improvements.
July 2025
4 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Delivered targeted fixes and logging enhancements in ONE-F-M/one_fm to improve reliability, reduce false positives in access control, and strengthen debugging clarity. Key outcomes include: - Assignment Rule Error Logging Robustness: fixed logging for malformed assignment rule names and enhanced error reporting in the assignment rule module, using commit db2764a06bc0f26b01beaa3a715daae3378fed9c. - Document Access Control False Positives Fix: refined permission checks so errors are raised only when the user genuinely lacks permissions, preventing false positives in RFM document access, with commit a5ae7046142afe2de8307726333d9ecf4dea9137. - Logging: Robustness and Consistency Enhancements (feature): improved error logging by using named arguments for title and message and ensuring exception messages are logged as strings, via commits 4c3a34f56519bd090eb717f14b59165b35569db0 and 9e8252ecbe4e5df8f7083af804043f68f79992aa. Overall impact: increased reliability of the rule and access control workflows, faster issue diagnosis, and a stronger foundation for observability in the RFM system. Technologies/skills demonstrated: Python logging best practices, structured error handling, and disciplined code-quality improvements.
June 2025
24 Commits • 10 Features
Jun 1, 2025June 2025 – ONE-F-M/one_fm delivered a set of focused platform improvements that drive faster configuration, stronger data integrity, and more reliable automation. The work emphasizes business value: reduced manual field customization time, improved attendance accuracy, and more robust HR/interview and roster workflows, underpinned by CI/hook reliability.
24 Commits • 10 Features
Jun 1, 2025June 2025 – ONE-F-M/one_fm delivered a set of focused platform improvements that drive faster configuration, stronger data integrity, and more reliable automation. The work emphasizes business value: reduced manual field customization time, improved attendance accuracy, and more robust HR/interview and roster workflows, underpinned by CI/hook reliability.
June 2025
May 2025
30 Commits • 16 Features
May 1, 2025May 2025 summary for ONE-F-M/one_fm. Delivered core employee workflow enhancements and strengthened data integrity with broad scheduling improvements. Key feature deliveries: Employee Daily Action Module (initial setup and daily actions), Validation Improvements, Reference Fields, Pagination Controls, Assignment Rule for Leave, Set Line Manager, Roster Post Actions, UI Link to Operations Role Column, Code Quality improvements (Uniform Returns), and Operations Site scheduling/shifts updates (date derivation, freeze message, post schedule naming/checks). Major bugs fixed: on_update method, removal of obsolete field, removal of unused method, and date issue fix. Impact: smoother daily workflows, fewer data inconsistencies, more reliable scheduling, and cleaner codebase. Technologies/skills: Python/JS module work, data modeling, validation, UI navigation enhancements, and refactoring/cleanup.
May 2025
30 Commits • 16 Features
May 1, 2025May 2025 summary for ONE-F-M/one_fm. Delivered core employee workflow enhancements and strengthened data integrity with broad scheduling improvements. Key feature deliveries: Employee Daily Action Module (initial setup and daily actions), Validation Improvements, Reference Fields, Pagination Controls, Assignment Rule for Leave, Set Line Manager, Roster Post Actions, UI Link to Operations Role Column, Code Quality improvements (Uniform Returns), and Operations Site scheduling/shifts updates (date derivation, freeze message, post schedule naming/checks). Major bugs fixed: on_update method, removal of obsolete field, removal of unused method, and date issue fix. Impact: smoother daily workflows, fewer data inconsistencies, more reliable scheduling, and cleaner codebase. Technologies/skills: Python/JS module work, data modeling, validation, UI navigation enhancements, and refactoring/cleanup.
April 2025
16 Commits • 3 Features
Apr 1, 2025April 2025 highlights for ONE-F-M/one_fm: Delivered core features, reliability improvements, and data-quality enhancements that directly translate to better hiring decisions, operational automation, and reduced admin effort. The work focused on surfacing actionable references, robust scheduling, clearer penalty communications, and improved check-in/permission workflows.
16 Commits • 3 Features
Apr 1, 2025April 2025 highlights for ONE-F-M/one_fm: Delivered core features, reliability improvements, and data-quality enhancements that directly translate to better hiring decisions, operational automation, and reduced admin effort. The work focused on surfacing actionable references, robust scheduling, clearer penalty communications, and improved check-in/permission workflows.
April 2025
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for ONE-F-M/one_fm focusing on automation, accuracy, and reporting improvements that deliver measurable business value. Implementations include automated PO approval date tracking, enhanced print formats and reporting, attendance tracking accuracy improvements, and workflow action URL correctness; these changes reduce manual data entry, improve data accuracy, and strengthen procurement and HR workflows.
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for ONE-F-M/one_fm focusing on automation, accuracy, and reporting improvements that deliver measurable business value. Implementations include automated PO approval date tracking, enhanced print formats and reporting, attendance tracking accuracy improvements, and workflow action URL correctness; these changes reduce manual data entry, improve data accuracy, and strengthen procurement and HR workflows.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly work summary highlighting delivered features, fixes, and impact in ONE-F-M/one_fm. Focused on restoring invoicing accuracy, simplifying integration surfaces, and enabling proactive LMS communications with improved observability.
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly work summary highlighting delivered features, fixes, and impact in ONE-F-M/one_fm. Focused on restoring invoicing accuracy, simplifying integration surfaces, and enabling proactive LMS communications with improved observability.
February 2025
January 2025
7 Commits • 3 Features
Jan 1, 2025January 2025 performance summary for ONE-F-M/one_fm: Delivered video-based check-in verification API with video parameter support, including Android enrollment/check-in integration; added mobile face recognition endpoint state checks gating video usage by endpoint status and exposing status in location data; fixed critical API syntax issue in face recognition by removing an extraneous parenthesis; refactored data persistence and model lifecycle for employee data and enrollment to streamline saves, tokens updates, and enrollment status; hardened holiday data processing and enabled remote invocation for check-in reminders by whitelisting run_checkin_reminder. Overall impact: improved verification reliability, smoother enrollment flows, and automated reminders driving engagement and efficiency. Technologies demonstrated: API design and integration, Android/mobile development enhancements, data persistence optimization, state management, and remote invocation patterns.
January 2025
7 Commits • 3 Features
Jan 1, 2025January 2025 performance summary for ONE-F-M/one_fm: Delivered video-based check-in verification API with video parameter support, including Android enrollment/check-in integration; added mobile face recognition endpoint state checks gating video usage by endpoint status and exposing status in location data; fixed critical API syntax issue in face recognition by removing an extraneous parenthesis; refactored data persistence and model lifecycle for employee data and enrollment to streamline saves, tokens updates, and enrollment status; hardened holiday data processing and enabled remote invocation for check-in reminders by whitelisting run_checkin_reminder. Overall impact: improved verification reliability, smoother enrollment flows, and automated reminders driving engagement and efficiency. Technologies demonstrated: API design and integration, Android/mobile development enhancements, data persistence optimization, state management, and remote invocation patterns.
December 2024
5 Commits • 4 Features
Dec 1, 2024December 2024: Four key feature deliveries across ONE-F-M/one_fm focused on attendance integrity, debugging and observability, procurement reliability, and AI assistant enhancements. The month also reinforced security, data handling, and user guidance for Lumina, supporting smoother operations and quicker issue resolution.
5 Commits • 4 Features
Dec 1, 2024December 2024: Four key feature deliveries across ONE-F-M/one_fm focused on attendance integrity, debugging and observability, procurement reliability, and AI assistant enhancements. The month also reinforced security, data handling, and user guidance for Lumina, supporting smoother operations and quicker issue resolution.
December 2024
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 – ONE-F-M/one_fm: Key feature delivery and data model enhancements to strengthen meeting follow-up workflows and attendance tracking. Delivered two new doctype-based capabilities with automated workflows and cross-record validation. No major bugs fixed this month. This work reduces manual follow-ups, improves data integrity, and establishes a scalable foundation for ongoing governance of meeting attendance and follow-ups. Key features delivered: - POC Check doctype: new POC Check to manage follow-ups for meetings where not all attendees have confirmed attendance; automatically creates a POC Check on MOM submission; includes validation and updates to related POC records. - Missing POC Attendance: new document type 'Missing POC Attendance' to capture and manage cases where attendees' POC attendance is missing; sets foundation for tracking and management. Commit highlights (for traceability): - POC Check: Create POC Check doctype (d29c81eb4e7b097fbdd294050ff9403ce35f3e1f, 0e3e0c380d1abfd3ec3ad74001593a278b177b21, 45c30d13b5170c3c6cb110dcdbdc2a5b95a75f29, efe921764f88a371c8ddfd36ea82bca57cb2cf2a) - Missing POC Attendance: Added missing poc attendance (fed06b5182512b53c9decf6aaf7c29bc367ec1c5, 0b95013a49c9385fde34abe7627117bd47d3d2f4) Technologies/skills demonstrated: - Data modeling with new Doctypes - Workflow automation: auto-creation on MOM submission - Validation and cross-record updates for data integrity
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 – ONE-F-M/one_fm: Key feature delivery and data model enhancements to strengthen meeting follow-up workflows and attendance tracking. Delivered two new doctype-based capabilities with automated workflows and cross-record validation. No major bugs fixed this month. This work reduces manual follow-ups, improves data integrity, and establishes a scalable foundation for ongoing governance of meeting attendance and follow-ups. Key features delivered: - POC Check doctype: new POC Check to manage follow-ups for meetings where not all attendees have confirmed attendance; automatically creates a POC Check on MOM submission; includes validation and updates to related POC records. - Missing POC Attendance: new document type 'Missing POC Attendance' to capture and manage cases where attendees' POC attendance is missing; sets foundation for tracking and management. Commit highlights (for traceability): - POC Check: Create POC Check doctype (d29c81eb4e7b097fbdd294050ff9403ce35f3e1f, 0e3e0c380d1abfd3ec3ad74001593a278b177b21, 45c30d13b5170c3c6cb110dcdbdc2a5b95a75f29, efe921764f88a371c8ddfd36ea82bca57cb2cf2a) - Missing POC Attendance: Added missing poc attendance (fed06b5182512b53c9decf6aaf7c29bc367ec1c5, 0b95013a49c9385fde34abe7627117bd47d3d2f4) Technologies/skills demonstrated: - Data modeling with new Doctypes - Workflow automation: auto-creation on MOM submission - Validation and cross-record updates for data integrity
Activity
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Quality Metrics
Correctness83.2%
Maintainability83.8%
Architecture76.6%
Performance78.2%
AI Usage21.4%
Skills & Technologies
Programming Languages
HTMLJavaScriptPythonSQLTextpython
Technical Skills
AI/MLAPI DevelopmentAPI IntegrationAutomationBack End DevelopmentBackend DevelopmentBug FixingCI/CDChatbot DevelopmentCode CleanupCode OrganizationCode RefactoringConfigurationConfiguration ManagementCron Jobs
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