Integrar Graphify no workflow Gradle: do Knowledge Graph ao diagrama PlantUML em um comando

@startuml
skinparam backgroundColor #FEFEFE
skinparam ActivityBackgroundColor #FDEDEC
skinparam ActivityDiamondBackgroundColor #FFF3CD

start

:Diagrama de arquitetura criado\n(manualmente, à mão);

:O código evolui\n(novas classes, novas dependências);

:Diagrama obsoleto\n(não reflete mais o código);

if (Qui met à jour ?) then (Personne)
    :Documentação falsa;
    note right: Os novos desenvolvedores\nse baseiam nisso... e cometem erros
else (Quelqu'un)
    :Atualização manual\n(2-3 horas de trabalho);
    note right: Já obsoleto\n para a próxima PR
endif

stop

@enduml

@startuml
skinparam backgroundColor #FEFEFE
skinparam componentStyle rectangle

actor Développeur
component "Graphify\n(pip install graphifyy)" as Graphify
collections "graphify-out/graph.json\n(Knowledge Graph)" as KGJSON
component "PlantUML Gradle Plugin\n(generateKnowledgeGraphDiagram)" as Plugin
component "KnowledgeGraphParser" as Parser
component "KnowledgeGraphRenderer" as Renderer
component "PlantumlService\n(validação + renderização PNG)" as PS
collections "diagrams/knowledge-graph/\n(.puml + .png)" as Output

Développeur --> Graphify : graphify . --no-viz
Graphify --> KGJSON : extrai a estrutura\ndo código fonte
Développeur --> Plugin : ./gradlew generateKnowledgeGraphDiagram
Plugin --> Parser : parse(graph.json)
Parser --> Plugin : KnowledgeGraph\n(nós + arestas + comunidades)
Plugin --> Renderer : render(graph, filters)
Renderer --> Plugin : code PlantUML\ndeterministico
Plugin --> PS : validateSyntax + generateImage
PS --> Output : .puml + .png

note bottom of Plugin
Pipeline DÉTERMINISTE
Nenhuma chamada LLM
Resultado reproduzível
end note

@enduml

# Étape 1 : extraire le Knowledge Graph
graphify . --no-viz

# Étape 2 : générer les diagrammes PlantUML
./gradlew generateKnowledgeGraphDiagram

@startuml
skinparam backgroundColor #FEFEFE
skinparam componentStyle rectangle

package "Pipeline normal\n(usuário → diagramas)" as normal {
    [Fichier .prompt] as prompt
    [LlmService\n+ ApiKeyPool] as llm1
    [ProcessPlantumlPromptsTask] as task1
    [Diagramme PNG] as out1

    prompt --> task1
    task1 --> llm1
    llm1 --> out1
}

package "Pipeline Knowledge Graph\n(determinístico, sem LLM)" as kg {
    [graphify-out/graph.json] as kgjson
    [KnowledgeGraphParser] as parser
    [KnowledgeGraphRenderer] as renderer
    [PlantumlService] as ps
    [Diagramme PNG\n(documentation du plugin)] as out2

    kgjson --> parser
    parser --> renderer
    renderer --> ps
    ps --> out2
}

package "Pipeline Dogfooding\n(LLM → documentação do plugin)" as dogfood {
    [GraphifyPromptAdapter] as gpa
    [Fichiers .prompt\nauto-générés] as auto_prompt
    [LlmService\n+ ApiKeyPool] as llm2
    [ProcessPlantumlPromptsTask] as task2
    [Diagramme PNG\n(documentation LLM)] as out3

    kgjson --> gpa
    gpa --> auto_prompt
    auto_prompt --> task2
    task2 --> llm2
    llm2 --> out3
}

note "Mesmo LlmService, mesmo ApiKeyPool,\nmesmo PlantumlService\n— ZERO duplicação" as N

@enduml

# Documentation déterministe (rapide, pas de LLM)
./gradlew generateKnowledgeGraphDiagram

# Documentation LLM (plus riche, consomme des tokens)
./gradlew generateDiagramDocs

@startuml
skinparam backgroundColor #FEFEFE
skinparam componentStyle rectangle

rectangle "Pipeline DETERMINISTE\n(generateKnowledgeGraphDiagram)" as det {
    [graph.json] as json
    [KnowledgeGraphParser] as parser
    [KnowledgeGraphRenderer] as renderer
    [PlantUML code] as puml

    json --> parser : parse
    parser --> renderer : KnowledgeGraph
    renderer --> puml : render (função pura)
}

rectangle "Pipeline LLM\n(processPlantumlPrompts)" as llm {
    [.prompt] as prompt
    [LlmService] as llmSvc
    [ChatModel] as model
    [PlantUML code] as puml2

    prompt --> llmSvc
    llmSvc --> model : API chamada
    model --> puml2 : resposta não-determinística
}

note bottom of det
Mesma entrada → mesma saída
Sem latência de rede
Sem custo em tokens
Reprodutível em CI
end note

note bottom of llm
Mesma entrada → saída variável
Latência de rede (1-5s)
Custo em tokens
Necessita uma chave API
end note

@enduml

@startuml
skinparam backgroundColor #FEFEFE

participant "Desenvolvedor" as Dev
participant "Gradle" as G
participant "GenerateKnowledgeGraphDiagramTask" as Task
participant "KnowledgeGraphParser" as Parser
participant "KnowledgeGraphRenderer" as Renderer
participant "PlantumlService" as PS
collections "graphify-out/graph.json" as JSON
collections "diagrams/knowledge-graph/" as Out

Dev -> G : ./gradlew generateKnowledgeGraphDiagram
G -> Task : executar
Task -> JSON : ler
Task -> Parser : parse(graph.json)
Parser --> Task : KnowledgeGraph

alt filtres actifs
    Task -> Task : aplicar filtros\n(community, edgeTypes, maxNodes…)
end

Task -> Renderer : render(graph, filters)
Renderer --> Task : código PlantUML

Task -> PS : validateSyntax()
alt valide
    Task -> PS : generateImage()
    PS --> Out : .puml + .png
else invalide
    Task -> Out : .puml (com aviso)
end

@enduml

@startuml
skinparam backgroundColor #FEFEFE
skinparam componentStyle rectangle

package "EAGER\n(sempre carregado)" as eager {
    [PROMPT_REPRISE.adoc\n(contexte session)] as pr
    [INDEX.adoc\n(vue d'ensemble)] as idx
    [GRAPH_REPORT.adoc\n(~50 lignes)] as gr
}

package "LAZY — Estratégia\n(sob demanda)" as lazy_strat {
    [Méthodologies] as meth
    [Archives sessions] as sessions
}

package "LAZY — Graphify\n(consultas direcionadas)" as lazy_graph {
    [graph.json] as gj
    [Queries\n(query/path/explain)] as queries
}

package "Pipeline PlantUML\n(auto-gerado)" as puml {
    [generateKnowledgeGraphDiagram] as kgTask
    [generateDiagramDocs] as ddTask
    [Diagrammes PNG] as diagrams
}

Agent --> eager : Lê no início da sessão
Agent ..> lazy_strat : Carrega se tipo detectado
Agent ..> lazy_graph : se necessário estructual? Wait double-check: I typed incorrectly originally due to mental slip: "estrutural". So correct: "se necessário estrutural".\n\nThus final.\n\n</think>\n\nse necessário estrutural
kgTask --> diagrams : Determinístico
ddTask --> diagrams : Via LLM

note right of gr
Resumo do Knowledge Graph
Nodes de Deus + Comunidades
Substituir ECOSYSTEM_OVERVIEW
(225 linhas → 50 linhas)
end note

@enduml

# Script complet en 5 commandes
uv tool install graphifyy
cat > .graphifyignore << 'EOF'
*-context.yml
*.env
build/
.gradle/
EOF
graphify . --no-viz
./gradlew generateKnowledgeGraphDiagram
git add graphify-out/GRAPH_REPORT.adoc graphify-out/graph.json diagrams/knowledge-graph/

@startuml
skinparam backgroundColor #FEFEFE

rectangle "ANTES" as avant {
    card "Diagramas desenhados à mão\nSempre obsoletos\nNinguém os atualiza" as av1 #FDEDEC
}

rectangle "DEPOIS" as apres {
    card "Diagramas gerados automaticamente\nSempre atualizados com o código\nVersionados no Git\nDeterminísticos e reprodutíveis" as ap1 #E8F8E8
}

avant --> apres : graphify . --no-viz\n+ ./gradlew generateKnowledgeGraphDiagram

@enduml