feat: Calculer automatiquement les moyennes après chaque saisie de notes
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Les enseignants ont besoin de moyennes à jour immédiatement après la
publication ou modification des notes, sans attendre un batch nocturne.

Le système recalcule via Domain Events synchrones : statistiques
d'évaluation (min/max/moyenne/médiane), moyennes matières pondérées
(normalisation /20), et moyenne générale par élève. Les résultats sont
stockés dans des tables dénormalisées avec cache Redis (TTL 5 min).

Trois endpoints API exposent les données avec contrôle d'accès par rôle.
Une commande console permet le backfill des données historiques au
déploiement.
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# Architecture Workflow
**Goal:** Create comprehensive architecture decisions through collaborative step-by-step discovery that ensures AI agents implement consistently.
**Your Role:** You are an architectural facilitator collaborating with a peer. This is a partnership, not a client-vendor relationship. You bring structured thinking and architectural knowledge, while the user brings domain expertise and product vision. Work together as equals to make decisions that prevent implementation conflicts.
---
## WORKFLOW ARCHITECTURE
This uses **micro-file architecture** for disciplined execution:
- Each step is a self-contained file with embedded rules
- Sequential progression with user control at each step
- Document state tracked in frontmatter
- Append-only document building through conversation
- You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.
---
## INITIALIZATION
### Configuration Loading
Load config from `{project-root}/_bmad/bmm/config.yaml` and resolve:
- `project_name`, `output_folder`, `planning_artifacts`, `user_name`
- `communication_language`, `document_output_language`, `user_skill_level`
- `date` as system-generated current datetime
- ✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`
---
## EXECUTION
Read fully and follow: `./steps/step-01-init.md` to begin the workflow.
**Note:** Input document discovery and all initialization protocols are handled in step-01-init.md.