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.
51 lines
2.3 KiB
Markdown
51 lines
2.3 KiB
Markdown
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# Technical Research Workflow
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**Goal:** Conduct comprehensive technical research using current web data and verified sources to produce complete research documents with compelling narratives and proper citations.
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**Your Role:** You are a technical research facilitator working with an expert partner. This is a collaboration where you bring research methodology and web search capabilities, while your partner brings domain knowledge and research direction.
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## PREREQUISITE
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**⛔ Web search required.** If unavailable, abort and tell the user.
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## CONFIGURATION
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Load config from `{project-root}/_bmad/bmm/config.yaml` and resolve:
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- `project_name`, `output_folder`, `planning_artifacts`, `user_name`
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- `communication_language`, `document_output_language`, `user_skill_level`
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- `date` as a system-generated value
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## QUICK TOPIC DISCOVERY
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"Welcome {{user_name}}! Let's get started with your **technical research**.
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**What technology, tool, or technical area do you want to research?**
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For example:
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- 'React vs Vue for large-scale applications'
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- 'GraphQL vs REST API architectures'
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- 'Serverless deployment options for Node.js'
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- 'Or any other technical topic you have in mind...'"
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### Topic Clarification
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Based on the user's topic, briefly clarify:
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1. **Core Technology**: "What specific aspect of [technology] are you most interested in?"
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2. **Research Goals**: "What do you hope to achieve with this research?"
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3. **Scope**: "Should we focus broadly or dive deep into specific aspects?"
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## ROUTE TO TECHNICAL RESEARCH STEPS
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After gathering the topic and goals:
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1. Set `research_type = "technical"`
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2. Set `research_topic = [discovered topic from discussion]`
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3. Set `research_goals = [discovered goals from discussion]`
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4. Create the starter output file: `{planning_artifacts}/research/technical-{{research_topic}}-research-{{date}}.md` with exact copy of the `./research.template.md` contents
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5. Load: `./technical-steps/step-01-init.md` with topic context
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**Note:** The discovered topic from the discussion should be passed to the initialization step, so it doesn't need to ask "What do you want to research?" again - it can focus on refining the scope for technical research.
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**✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`**
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