The AI assignment path was receiving project tags as flat strings, losing
the confidence scores from AI tagging. Now both the GPT path and the
fallback algorithm weight tag matches by confidence — a 0.9 tag matters
more than a 0.5 one.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
- 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>
- 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>
- 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>
- 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>
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>
