Commit Graph

9 Commits

Author SHA1 Message Date
6ca39c976b Competition/Round architecture: full platform rewrite (Phases 1-9)
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Replace Pipeline/Stage system with Competition/Round architecture.
New schema: Competition, Round (7 types), JuryGroup, AssignmentPolicy,
ProjectRoundState, DeliberationSession, ResultLock, SubmissionWindow.
New services: round-engine, round-assignment, deliberation, result-lock,
submission-manager, competition-context, ai-prompt-guard.
Full admin/jury/applicant/mentor UI rewrite. AI prompt hardening with
structured prompts, retry logic, and injection detection. All legacy
pipeline/stage code removed. 4 new migrations + seed aligned.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 23:04:15 +01:00
Matt
b5425e705e Apply full refactor updates plus pipeline/email UX confirmations
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2026-02-14 15:26:42 +01:00
70cfad7d46 Platform polish: bulk invite, file requirements, filtering redesign, UX fixes
- F1: Set seed jury/mentors/observers to NONE status (not invited), remove passwords
- F2: Add bulk invite UI with checkbox selection and floating toolbar
- F3: Add getProjectRequirements backend query + requirement slots on project detail
- F4: Redesign filtering section: AI criteria textarea, "What AI sees" card,
  field-aware eligibility rules with human-readable previews
- F5: Auto-redirect to pipeline detail when only one pipeline exists
- F6: Make project names clickable in pipeline intake panel
- F7: Fix pipeline creation error: edition context fallback + .min(1) validation
- Pipeline wizard sections: add isActive locking, info tooltips, UX improvements

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-13 23:45:21 +01:00
bf187e4b9a Improve AI assignment error messages for invalid models
- Add try-catch around OpenAI API call to catch model errors
- Provide clearer error messages when model name is invalid
- Handle empty response cases with helpful feedback
- Suggest checking AI Configuration settings when model fails

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 14:56:21 +01:00
6f6d5ef501 Add visual progress indicator for AI assignment batches
- Add AssignmentJob model to track AI assignment progress
- Create startAIAssignmentJob mutation for background processing
- Add getAIAssignmentJobStatus query for polling progress
- Update AI assignment service with progress callback support
- Add progress bar UI showing batch/project processing status
- Add toast notifications for job completion/failure
- Add AI_SUGGESTIONS_READY notification type

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 17:40:26 +01:00
6d2537ec04 Add per-round assignment constraints (min/max per judge)
- Add minAssignmentsPerJuror and maxAssignmentsPerJuror fields to Round model
- Update assignment router:
  - Calculate effective max from user override or round default
  - Add forceOverride parameter for manual assignment beyond limits
  - Update getSuggestions to use round constraints with min target bonus
  - Update getAISuggestions to pass constraints to AI service
- Update AI assignment service:
  - Add minAssignmentsPerJuror to constraints interface
  - Update fallback algorithm with under-min bonus scoring
  - New score weights: 50% expertise, 30% load, 20% under-min bonus
- Update round router:
  - Add new constraint fields to create/update schemas
  - Add validation for min <= max constraint
- Update admin UI:
  - Add min/max constraint fields to round edit page
  - Remove hardcoded maxPerJuror from assignments page
- Add migration files for production deployment:
  - User.bio field for judge/mentor profiles
  - Round assignment constraint fields

Constraint hierarchy:
1. User.maxAssignments (if set) overrides round default
2. Round.maxAssignmentsPerJuror is the default cap
3. Admin can force-override any limit with confirmation

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 16:01:18 +01:00
928b1c65dc Optimize AI system with batching, token tracking, and GDPR compliance
- Add AIUsageLog model for persistent token/cost tracking
- Implement batched processing for all AI services:
  - Assignment: 15 projects/batch
  - Filtering: 20 projects/batch
  - Award eligibility: 20 projects/batch
  - Mentor matching: 15 projects/batch
- Create unified error classification (ai-errors.ts)
- Enhance anonymization with comprehensive project data
- Add AI usage dashboard to Settings page
- Add usage stats endpoints to settings router
- Create AI system documentation (5 files)
- Create GDPR compliance documentation (2 files)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 11:58:12 +01:00
bfcfd84008 Use admin-configured AI model and add GPT-5/o-series options
- Add getConfiguredModel() that reads ai_model from SystemSettings
- AI assignment and mentor matching now use the admin-selected model
- Remove duplicate OpenAI client in mentor-matching (use shared singleton)
- Add GPT-5, GPT-5 Mini, o3, o3 Mini, o4 Mini to model dropdown

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-30 16:24:46 +01:00
a606292aaa Initial commit: MOPC platform with Docker deployment setup
Full Next.js 15 platform with tRPC, Prisma, PostgreSQL, NextAuth.
Includes production Dockerfile (multi-stage, port 7600), docker-compose
with registry-based image pull, Gitea Actions CI workflow, nginx config
for portal.monaco-opc.com, deployment scripts, and DEPLOYMENT.md guide.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-30 13:41:32 +01:00