# Graph Report - TextNLPClassifierApp (2026-08-20) ## Corpus Check - 174 files · ~91,961 words - Verdict: corpus is large enough that graph structure adds value. ## Summary - 1235 nodes · 1548 edges · 131 communities (93 shown, 38 thin omitted) - Extraction: 97% EXTRACTED · 3% INFERRED · 0% AMBIGUOUS · INFERRED: 51 edges (avg confidence: 0.95) - Token cost: 0 input · 0 output ## Graph Freshness - Built from commit: `6a45368c` - Run `git rev-parse HEAD` and compare to check if the graph is stale. - Run `graphify update .` after code changes (no API cost). ## Community Hubs (Navigation) - Task Planning - Convergence Workflow - SpecKit Utilities - Graphify Commands - speckit-analyze/SKILL.md - Tasks: Multilingual NLP Entity Inherence Classifier (POC) - Feature Specification Template - Graphify Rules - Implementation Planning - Feature Specification - Task Generation - Project Constitution - Constitution Template - Graphify Exports - Ponytail Configuration - Implementation Planning Template - Ponytail Help - Checklist Generation - Clarification Workflow - Implementation Workflow - Graph Query - Constitution Workflow - Feature Branch Creation - Ponytail Audit - Ponytail Metrics - Ponytail Review - Task Issue Conversion - Checklist Template - Graphify Watch Mode - Graphify Hooks - Graphify Updates - Ponytail Debt - Repository Merge - Media Transcription - Extraction Specification - Graphify Workflows - main - 1. Technical Decisions & Tradeoffs - 1. Input Schemas - 2. Basic CLI Usage Examples - 2. Standard Streams & Exit Codes - ClassificationResult - InherenceClassifier - classifier.py - main - content_northvolt_de.md - content_presal_pt.md - content_tangential_es.md - adapters/__init__.py - src/__init__.py - de/contextual.md - de/direct.md - de/not_related.md - de/tangential.md - en/contextual.md - en/direct.md - en/not_related.md - en/tangential.md - es/contextual.md - es/direct.md - es/not_related.md - es/tangential.md - fr/contextual.md - fr/direct.md - fr/not_related.md - fr/tangential.md - it/contextual.md - it/direct.md - it/not_related.md - it/tangential.md - pt/contextual.md - pt/direct.md - pt/not_related.md - pt/tangential.md - tests/__init__.py - text-nlp-classifier - test_extract_article_contents.py - Extrator de Notícias do Google News — Guia Completo de Funcionamento - extract_google_news.py - ExtractionResult - test_extract_google_news.py - Implementation Tasks: Google News Headlines Extractor - Feature Specification: Google News Headlines Extractor - 2. Cenários Práticos de Uso - Implementation Plan: Google News Headlines Extractor - scripts/__init__.py - SearchQuery - 1. Technical Decisions & Tradeoffs - General Readiness Checklist: Google News Headlines Extractor - 1. Entidades de Domínio & DTOs - Specification Quality Checklist: Google News Headlines Extractor - CLI Contract: Google News Headlines Extractor - 🧠 TextNLPClassifierApp - Extraction Pipeline Checklist: Article Content Multi-Engine Extractor - sample_rss_xml - models.py - ECPSnapshot - Feature Specification: Multilingual NLP Entity Inherence Classifier (POC) - 4. Requisitos Funcionais (FR) - Tasks: Article Content Multi-Engine Extractor - LocalEmbeddingsAdapter - Implementation Plan: Article Content Multi-Engine Extractor - 2. Cenários de Validação - 1. Technical Decisions & Tradeoffs - Implementation Plan: Multilingual NLP Entity Inherence Classifier (POC) - POC Readiness & Requirements Quality Checklist: Multilingual NLP Entity Inherence Classifier - Specification Quality Checklist: Multilingual NLP Entity Inherence Classifier - CLI Contract: Article Content Multi-Engine Extractor - JSON Schema Contract: Article Content Multi-Engine Extractor - PRD — Seleção determinística da biblioteca de extração de conteúdo - select_article_extractor.py - 1. Text Normalization Pipeline - Tasks: Deterministic Article Content Selection - select_article_extractor - process_batch - test_select_article_extractor.py - Feature Specification: Deterministic Content Selection - 2. Entity Descriptions & Fields - Implementation Plan: Deterministic Article Content Selection - Deterministic Content Selection Checklist: End-to-End Requirements Quality - Quickstart: Deterministic Article Content Selection - Specification Quality Checklist: Deterministic Content Selection - CLI Interface Contract: Deterministic Article Content Selection - JSON Schema Contract: Deterministic Article Content Selection ## God Nodes (most connected - your core abstractions) 1. `ECPSnapshot` - 31 edges 2. `InherenceClassifier` - 25 edges 3. `select_article_extractor()` - 23 edges 4. `ExtractorName` - 21 edges 5. `DecisionCategory` - 17 edges 6. `ClassificationResult` - 17 edges 7. `process_batch()` - 15 edges 8. `process_batch()` - 14 edges 9. `LocalEmbeddingsAdapter` - 14 edges 10. `LLMFallbackAdapter` - 14 edges ## Surprising Connections (you probably didn't know these) - `main()` --uses--> `ECPSnapshot` [INFERRED] classify.py → src/models.py - `main()` --uses--> `ErrorCode` [INFERRED] classify.py → src/models.py - `test_extract_google_news_orchestration_mocked()` --uses--> `ExtractionResult` [INFERRED] tests/test_extract_google_news.py → scripts/extract_google_news.py - `test_llm_adapter_interface()` --calls--> `LLMFallbackAdapter` [EXTRACTED] tests/test_adapters.py → src/adapters/llm.py - `classifier()` --uses--> `InherenceClassifier` [INFERRED] tests/test_benchmark_24.py → src/classifier.py ## Import Cycles - None detected. ## Communities (131 total, 38 thin omitted) ### Community 0 - "Task Planning" Cohesion: 0.07 Nodes (26): Dependencies & Execution Order, Format: `[ID] [P?] [Story] Description`, Implementation for User Story 1, Implementation for User Story 2, Implementation for User Story 3, Implementation Strategy, Incremental Delivery, MVP First (User Story 1 Only) (+18 more) ### Community 1 - "Convergence Workflow" Cohesion: 0.12 Nodes (15): 1. Initialize Convergence Context, 2. Load Artifacts (Progressive Disclosure), 3. Build the Intent Inventory, 4. Assess the Codebase and Classify Findings, 5. Assign Severity, 6. Present the In-Session Findings Summary, 7. Append Convergence Tasks (or report converged), 8. Provide Next Actions (Handoff) (+7 more) ### Community 2 - "SpecKit Utilities" Cohesion: 0.23 Nodes (13): Find-SpecifyRoot(), Format-SpecKitCommand(), Get-CurrentBranch(), Get-FeaturePathsEnv(), Get-InvokeSeparator(), Get-NormalizedPriority(), Get-Python3Command(), Get-RepoRoot() (+5 more) ### Community 3 - "Graphify Commands" Cohesion: 0.08 Nodes (24): For /graphify add and --watch, For /graphify query, For the commit hook and native CLAUDE.md integration, For --update and --cluster-only, /graphify, Honesty Rules, Interpreter guard for subcommands, Part A - Structural extraction for code files (+16 more) ### Community 4 - "speckit-analyze/SKILL.md" Cohesion: 0.08 Nodes (25): 1. Initialize Analysis Context, 2. Load Artifacts (Progressive Disclosure), 3. Build Semantic Models, 4. Detection Passes (Token-Efficient Analysis), 5. Severity Assignment, 6. Produce Compact Analysis Report, 7. Provide Next Actions, 8. Offer Remediation (+17 more) ### Community 5 - "Tasks: Multilingual NLP Entity Inherence Classifier (POC)" Cohesion: 0.15 Nodes (13): Dependencies & Execution Order, Implementation for User Story 1, Implementation for User Story 2, Implementation for User Story 3, Implementation Strategy, Phase 1: Setup (Shared Infrastructure), Phase 2: Foundational (Blocking Prerequisites), Phase 3: User Story 1 - Core Tier 1 Deterministic Classification & CLI (Priority: P1) [MVP] (+5 more) ### Community 6 - "Feature Specification Template" Cohesion: 0.15 Nodes (12): Assumptions, Edge Cases, Feature Specification: [FEATURE NAME], Functional Requirements, Key Entities *(include if feature involves data)*, Measurable Outcomes, Requirements *(mandatory)*, Success Criteria *(mandatory)* (+4 more) ### Community 8 - "Implementation Planning" Cohesion: 0.18 Nodes (10): Completion Report, Done When, Key rules, Mandatory Post-Execution Hooks, Outline, Phase 0: Outline & Research, Phase 1: Design & Contracts, Phases (+2 more) ### Community 9 - "Feature Specification" Cohesion: 0.18 Nodes (10): Completion Report, Done When, For AI Generation, Mandatory Post-Execution Hooks, Outline, Pre-Execution Checks, Quick Guidelines, Section Requirements (+2 more) ### Community 10 - "Task Generation" Cohesion: 0.18 Nodes (10): Checklist Format (REQUIRED), Completion Report, Done When, Mandatory Post-Execution Hooks, Outline, Phase Structure, Pre-Execution Checks, Task Generation Rules (+2 more) ### Community 11 - "Project Constitution" Cohesion: 0.18 Nodes (10): Core Principles, Governance, [PRINCIPLE_1_NAME], [PRINCIPLE_2_NAME], [PRINCIPLE_3_NAME], [PRINCIPLE_4_NAME], [PRINCIPLE_5_NAME], [PROJECT_NAME] Constitution (+2 more) ### Community 12 - "Constitution Template" Cohesion: 0.18 Nodes (10): Core Principles, Governance, [PRINCIPLE_1_NAME], [PRINCIPLE_2_NAME], [PRINCIPLE_3_NAME], [PRINCIPLE_4_NAME], [PRINCIPLE_5_NAME], [PROJECT_NAME] Constitution (+2 more) ### Community 13 - "Graphify Exports" Cohesion: 0.22 Nodes (8): graphify reference: extra exports and benchmark, Step 6b - Wiki (only if --wiki flag), Step 7 - Neo4j export (only if --neo4j or --neo4j-push flag), Step 7a - FalkorDB export (only if --falkordb or --falkordb-push flag), Step 7b - SVG export (only if --svg flag), Step 7c - GraphML export (only if --graphml flag), Step 7d - MCP server (only if --mcp flag), Step 8 - Token reduction benchmark (only if total_words > 5000) ### Community 14 - "Ponytail Configuration" Cohesion: 0.22 Nodes (8): Boundaries, Intensity, Output, Persistence, Ponytail, Rules, The ladder, When NOT to be lazy ### Community 15 - "Implementation Planning Template" Cohesion: 0.22 Nodes (8): Complexity Tracking, Constitution Check, Documentation (this feature), Implementation Plan: [FEATURE], Project Structure, Source Code (repository root), Summary, Technical Context ### Community 16 - "Ponytail Help" Cohesion: 0.25 Nodes (7): Configure Default Mode, Deactivate, Levels, More, Ponytail Help, Skills, Update ### Community 17 - "Checklist Generation" Cohesion: 0.25 Nodes (7): Anti-Examples: What NOT To Do, Checklist Purpose: "Unit Tests for English", Example Checklist Types & Sample Items, Execution Steps, Post-Execution Checks, Pre-Execution Checks, User Input ### Community 18 - "Clarification Workflow" Cohesion: 0.29 Nodes (6): Completion Report, Done When, Mandatory Post-Execution Hooks, Outline, Pre-Execution Checks, User Input ### Community 19 - "Implementation Workflow" Cohesion: 0.29 Nodes (6): Completion Report, Done When, Mandatory Post-Execution Hooks, Outline, Pre-Execution Checks, User Input ### Community 20 - "Graph Query" Cohesion: 0.33 Nodes (5): For /graphify explain, For /graphify path, graphify reference: query, path, explain, Step 0 — Constrained query expansion (REQUIRED before traversal), Step 1 — Traversal ### Community 21 - "Constitution Workflow" Cohesion: 0.33 Nodes (5): Outline, Post-Execution Checks, Pre-Execution Checks, Scope Guard, User Input ### Community 23 - "Ponytail Audit" Cohesion: 0.40 Nodes (4): Boundaries, Hunt, Output, Tags ### Community 24 - "Ponytail Metrics" Cohesion: 0.40 Nodes (4): Boundaries, Honesty boundary, Ponytail Gain, Scoreboard ### Community 25 - "Ponytail Review" Cohesion: 0.40 Nodes (4): Boundaries, Examples, Format, Scoring ### Community 26 - "Task Issue Conversion" Cohesion: 0.40 Nodes (4): Outline, Post-Execution Checks, Pre-Execution Checks, User Input ### Community 27 - "Checklist Template" Cohesion: 0.40 Nodes (4): [Category 1], [Category 2], [CHECKLIST TYPE] Checklist: [FEATURE NAME], Notes ### Community 28 - "Graphify Watch Mode" Cohesion: 0.50 Nodes (3): For /graphify add, For --watch, graphify reference: add a URL and watch a folder ### Community 29 - "Graphify Hooks" Cohesion: 0.50 Nodes (3): For git commit hook, For native CLAUDE.md integration, graphify reference: commit hook and native CLAUDE.md integration ### Community 30 - "Graphify Updates" Cohesion: 0.50 Nodes (3): For --cluster-only, For --update (incremental re-extraction), graphify reference: incremental update and cluster-only ### Community 31 - "Ponytail Debt" Cohesion: 0.50 Nodes (3): Boundaries, Output, Scan ### Community 40 - "main" Cohesion: 0.14 Nodes (17): ArgumentParser, CaptureFixture, build_parser(), main(), Cria e configura o parser de argumentos CLI., Ponto de entrada do script CLI., Path, Valida execução padrão do CLI com saída JSON no stdout. (+9 more) ### Community 41 - "1. Technical Decisions & Tradeoffs" Cohesion: 0.22 Nodes (8): 1. Technical Decisions & Tradeoffs, 2. Standardized Error Handling Strategy, Decision 1: Execution Engine & CLI Architecture, Decision 2: Multilingual Language Detection & Normalization (Tier 1 Core), Decision 3: Materialized ECP Snapshot Contract & Matching Logic, Decision 4: Tier 2 (Embeddings) & Tier 3 (LLM) Optional Adapters, Decision 5: Controlled 24-Case POC Benchmark Suite, Technical Research & Architecture Decisions (POC) ### Community 42 - "1. Input Schemas" Cohesion: 0.25 Nodes (7): 1.1 ECP Snapshot Schema (`snapshot.json`), 1.2 Content Item Schema (`content.md`), 1. Input Schemas, 2.1 Classification Success Result Schema (`result.json`), 2.2 Error Result Schema, 2. Output Schemas, Data Models & Schemas (POC) ### Community 43 - "2. Basic CLI Usage Examples" Cohesion: 0.25 Nodes (7): 1. Prerequisites & Installation, 2.1 Direct Inherence (Portuguese), 2.2 Contextual Inherence via Graph Snapshot (German), 2.3 Tangential Mention (Spanish), 2. Basic CLI Usage Examples, 3. Running the Controlled 24-Case Benchmark, Quickstart & Validation Guide (POC) ### Community 44 - "2. Standard Streams & Exit Codes" Cohesion: 0.29 Nodes (6): 1.1 Arguments & Options, 1. Command Line Interface, 2.1 Exit Codes, 2.2 Standard Output (`stdout`) / Standard Error (`stderr`), 2. Standard Streams & Exit Codes, CLI Contract & Interface Specification (POC) ### Community 45 - "ClassificationResult" Cohesion: 0.14 Nodes (12): ABC, BaseNLPAdapter, Base abstract adapter interface for optional Tier 2 / Tier 3 NLP enhancers., Abstract interface for pluggable NLP classification adapters., Return True if the underlying provider or model is installed and configured., Compute semantic similarity score between text and a set of candidate terms., Optionally refine an ambiguous classification result., LLMFallbackAdapter (+4 more) ### Community 46 - "InherenceClassifier" Cohesion: 0.12 Nodes (27): InherenceClassifier, Tier 1 Deterministic NLP Entity Inherence Classifier., DecisionCategory, RelatedEntity, Adversarial and robustness test suite for Multilingual NLP Entity Inherence…, Run CLI via subprocess without --output and verify stdout is pure parseable…, Run CLI via subprocess with empty content and verify error code and exit code., Content about city/state governance of São Paulo against ECP for São Paulo FC. (+19 more) ### Community 47 - "classifier.py" Cohesion: 0.10 Nodes (31): count_phrase_occurrences(), match_phrase_in_text(), Core deterministic classification engine (Tier 1 core)., Check if a normalized phrase appears in normalized text with word boundary…, Count occurrences of a phrase in text., Classify inherence of content against an ECP snapshot., detect_language(), extract_words() (+23 more) ### Community 48 - "main" Cohesion: 0.31 Nodes (9): main(), parse_args(), Namespace, CLI execution tests covering flags, arguments, stdout, and error handling., test_cli_empty_content_file(), test_cli_missing_ecp_file(), test_cli_missing_required_ecp_field(), test_cli_output_file() (+1 more) ### Community 80 - "test_extract_article_contents.py" Cohesion: 0.06 Nodes (56): ArticleCrawler, extract_all_engines(), ExtractedArticle, ExtractionBatchReport, InputArticle, load_search_json(), log_info(), main() (+48 more) ### Community 81 - "Extrator de Notícias do Google News — Guia Completo de Funcionamento" Cohesion: 0.08 Nodes (24): 1. Visão geral (arquitetura), 2.1 DTO de entrada (`googlenews_etl/application/dtos/extract_news_dto.py`), 2.2 Value Object de validação (`googlenews_etl/domain/entities/search_query.py`), 2. Entrada, 3.1 O caso de uso (`googlenews_etl/application/use_cases/extract_news_use_case.py`), 3.2 A porta (`googlenews_etl/domain/ports/news_extractor_port.py`), 3.3.1 Inicialização: sessão HTTP com impersonação de browser, 3.3.2 Mapeamento idioma → parâmetros `hl`/`gl` (`_get_hl_gl`) (+16 more) ### Community 82 - "extract_google_news.py" Cohesion: 0.15 Nodes (18): extract_google_news(), _fetch_rss_content(), get_hl_gl_ceid(), NewsArticle, _normalize_text_for_comparison(), parse_google_news_rss(), Mapeia idioma e locale para os parâmetros hl, gl e ceid do Google News., Remove pontuação e espaços extras para comparação de redundância. (+10 more) ### Community 83 - "ExtractionResult" Cohesion: 0.29 Nodes (5): ExtractionResult, Any, Resultado consolidado da extração., Valida E2E o fluxo completo de busca, parsing e resolução de URLs reais ao vivo., test_e2e_extract_google_news_live_pipeline() ### Community 84 - "test_extract_google_news.py" Cohesion: 0.15 Nodes (15): Resolve a URL intermediária do Google News para a URL real do veículo., resolve_article_url(), Testes unitários e de integração para o Extrator de Manchetes do Google News.…, Valida fallback gracioso de URL quando não é link do Google News ou em erro., Valida resolução bem-sucedida de URL do Google News para o portal destino., Valida E2E que o decodificador resolve uma URL real do Google News para o…, Valida o mapeamento padrão de idiomas para pares (hl, gl, ceid)., Valida a sobrescrita geográfica quando o argumento locale é especificado. (+7 more) ### Community 85 - "Implementation Tasks: Google News Headlines Extractor" Cohesion: 0.14 Nodes (14): Implementation for User Story 1, Implementation for User Story 2, Implementation for User Story 3, Implementation Tasks: Google News Headlines Extractor, Phase 1: Setup (Shared Infrastructure), Phase 2: Foundational (Blocking Prerequisites), Phase 3: User Story 1 - Extração Básica de Notícias por Assunto e Idioma (Priority: P1) 🌟 MVP, Phase 4: User Story 2 - Filtragem Regional e Edição Geográfica (Priority: P2) (+6 more) ### Community 86 - "Feature Specification: Google News Headlines Extractor" Cohesion: 0.18 Nodes (11): Clarifications, Edge Cases, Feature Specification: Google News Headlines Extractor, Functional Requirements, Requirements *(mandatory)*, Session 2026-08-20, Success Criteria *(mandatory)*, User Scenarios & Testing *(mandatory)* (+3 more) ### Community 87 - "2. Cenários Práticos de Uso" Cohesion: 0.20 Nodes (9): 1. Pré-requisitos e Instalação, 2. Cenários Práticos de Uso, 3. Validação dos Testes Automatizados e Linter, Cenário 1: River Plate — Argentina (Espanhol / 2 Páginas / Salvar em Arquivo), Cenário 2: Cruzeiro — Brasil (Português / Formatado no Terminal), Cenário 3: Fórmula 1 — Reino Unido (Inglês), Cenário 4: Integração em Pipeline com `jq` (Modo Silencioso), Cenário 5: Extração Rápida com Links Brutos (Sem Resolução de URLs) (+1 more) ### Community 88 - "Implementation Plan: Google News Headlines Extractor" Cohesion: 0.29 Nodes (7): Architecture & Pipeline, Documentation (this feature), Implementation Plan: Google News Headlines Extractor, Project Structure, Source Code, Summary, Technical Context ### Community 90 - "SearchQuery" Cohesion: 0.20 Nodes (6): Value Object com parâmetros de busca validados., SearchQuery, Valida a consolidação do ExtractionResult a partir da busca mockada com URLs…, Valida as regras de negócio e limites de SearchQuery., test_extract_google_news_orchestration_mocked(), test_search_query_validation() ### Community 91 - "1. Technical Decisions & Tradeoffs" Cohesion: 0.25 Nodes (7): 1. Technical Decisions & Tradeoffs, Decision 1: Motor de Requisição e Scraping com `foxcape` em Modo Headless, Decision 2: Endpoint RSS do Google News vs. Scraping de DOM, Decision 3: Mapeamento de Idioma e Locale (`hl`, `gl`, `ceid`), Decision 4: Resolução de URLs do Google News via `googlenewsdecoder`, Decision 5: Logging em Tempo Real no `stderr` e Segregação de Streams, Research: Google News Headlines Extractor ### Community 92 - "General Readiness Checklist: Google News Headlines Extractor" Cohesion: 0.29 Nodes (7): CLI Interface & Parameter Contracts, Data Sanitization & Article Extraction, Error Handling & Edge Cases, General Readiness Checklist: Google News Headlines Extractor, Non-Functional & Operational Readiness, Notes, Scraping Engine & Feed Mapping ### Community 93 - "1. Entidades de Domínio & DTOs" Cohesion: 0.29 Nodes (6): 1.1 SearchQuery (Parâmetros da Busca), 1.2 NewsArticle (Item de Notícia), 1.3 ExtractionResult (Saída Estruturada Consolidada), 1. Entidades de Domínio & DTOs, 2. Esquema JSON de Saída, Data Model: Google News Headlines Extractor ### Community 94 - "Specification Quality Checklist: Google News Headlines Extractor" Cohesion: 0.33 Nodes (5): Content Quality, Feature Readiness, Notes, Requirement Completeness, Specification Quality Checklist: Google News Headlines Extractor ### Community 95 - "CLI Contract: Google News Headlines Extractor" Cohesion: 0.33 Nodes (6): 1. Comando e Argumentos, 2. Códigos de Saída (Exit Codes), 3. Protocolo de Streams (Stdout / Stderr), Argumentos de Linha de Comando, CLI Contract: Google News Headlines Extractor, Sintaxe ### Community 97 - "🧠 TextNLPClassifierApp" Cohesion: 0.06 Nodes (35): 1. 🧠 Classificador de Conteúdo e Inerência (NLP / LLM / ECP), 1. Clonar o Repositório e Criar Ambiente Virtual, 1. Execução Padrão Automática, 2. Execução com Modo Verboso, 2. 📰 Extrator de Manchetes do Google News, 2. Instalar Dependências, 3. Baixar Binários do Navegador Stealth (Camoufox), 3. 📄 Extrator e Parser Multimotor de Artigos (+27 more) ### Community 98 - "Extraction Pipeline Checklist: Article Content Multi-Engine Extractor" Cohesion: 0.05 Nodes (34): 1. Requirement Completeness, 2. Requirement Clarity & Non-Ambiguity, 3. Requirement Consistency & Data Contracts, 4. Scenario & Edge Case Coverage, 5. Non-Functional & Operational Readiness, Extraction Pipeline Checklist: Article Content Multi-Engine Extractor, Notes, Content Quality (+26 more) ### Community 99 - "sample_rss_xml" Cohesion: 0.67 Nodes (3): fixture, Fixture que fornece o conteúdo do XML de exemplo para testes offline., sample_rss_xml() ### Community 100 - "models.py" Cohesion: 0.24 Nodes (8): emit_error(), ClassificationError, ErrorCode, MatchedGraphEntity, Enum, str, Data models and validation schemas for Multilingual NLP Entity Inherence…, test_classification_error_serialization() ### Community 101 - "ECPSnapshot" Cohesion: 0.19 Nodes (11): parametrize, ECPSnapshot, Any, classifier(), fixture, Controlled 24-case benchmark suite for Multilingual NLP Entity Inherence…, test_benchmark_case(), Unit tests for ECP models, schema validation, and structured error handling. (+3 more) ### Community 102 - "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)" Cohesion: 0.14 Nodes (14): Assumptions, Assumptions & Scope, Clarifications, Explicit Out of Scope (POC), Feature Specification: Multilingual NLP Entity Inherence Classifier (POC), Functional Requirements, Key Entities *(data models & domain entities)*, Measurable Outcomes (+6 more) ### Community 103 - "4. Requisitos Funcionais (FR)" Cohesion: 0.10 Nodes (20): 1.1 Objetivo do Produto, 1. Visão Geral e Contexto, 2. Personas e Casos de Uso, 3. Arquitetura e Fluxo do Sistema, 4. Requisitos Funcionais (FR), 5. Requisitos Não Funcionais (NFR), 6.1 Esquema do JSON de Entrada (`Input`), 6.2 Esquema do JSON Consolidado de Saída (`Output`) (+12 more) ### Community 104 - "Tasks: Article Content Multi-Engine Extractor" Cohesion: 0.11 Nodes (18): Dependencies & Execution Order, Entrega Incremental, Implementation Strategy, Implementação da User Story 1, Implementação da User Story 2, Implementação da User Story 3, MVP First (User Story 1 Only), Oportunidades de Execução Paralela (+10 more) ### Community 105 - "LocalEmbeddingsAdapter" Cohesion: 0.18 Nodes (7): LocalEmbeddingsAdapter, Optional local vector embeddings adapter (Tier 2). Disabled by default.…, Optional adapter for local multilingual semantic vector embeddings., Unit tests for optional adapter interfaces (Tier 2 / Tier 3)., test_classifier_with_adapter_flags(), test_embeddings_adapter_interface(), test_llm_adapter_interface() ### Community 106 - "Implementation Plan: Article Content Multi-Engine Extractor" Cohesion: 0.17 Nodes (11): Constitution Check, Documentation (this feature), Implementation Phases, Implementation Plan: Article Content Multi-Engine Extractor, Phase 0: Outline & Research *(Completed)*, Phase 1: Design & Contracts *(Completed)*, Phase 2: Tasks & Execution *(Completed)*, Project Structure (+3 more) ### Community 107 - "2. Cenários de Validação" Cohesion: 0.22 Nodes (8): 1. Pré-requisitos, 2. Cenários de Validação, 3. Validação Automatizada de Testes, Cenário 1: Extração com Amostragem Rápida (Limit 2), Cenário 2: Caminho Customizado de Saída, Cenário 3: Modo Silencioso (`--silent`), Cenário 4: Resiliência contra URLs Inválidas, Quickstart & Validation Guide: Article Content Multi-Engine Extractor ### Community 108 - "1. Technical Decisions & Tradeoffs" Cohesion: 0.22 Nodes (8): 1. Technical Decisions & Tradeoffs, Decision 1: Motor de Navegação e Renderização com `foxcape` em Sessão Única, Decision 2: Orquestração Tripla de Extração de Conteúdo (NLP & Web Scraping), Decision 3: Resiliência e Isolamento de Falhas por Camada, Decision 4: Herança Inteligente de Idioma para NLP, Decision 5: Gerenciamento de Memória e Descarte do Raw HTML, Decision 6: Segregação de Streams e Feedback Visual em `stderr`, Research: Article Content Multi-Engine Extractor ### Community 109 - "Implementation Plan: Multilingual NLP Entity Inherence Classifier (POC)" Cohesion: 0.25 Nodes (8): Complexity Tracking, Constitution Check, Documentation (this feature), Implementation Plan: Multilingual NLP Entity Inherence Classifier (POC), Project Structure, Source Code (repository root), Summary, Technical Context ### Community 110 - "POC Readiness & Requirements Quality Checklist: Multilingual NLP Entity Inherence Classifier" Cohesion: 0.29 Nodes (7): 1. Requirement Completeness & Scope Boundaries, 2. Requirement Clarity & Decision Semantics, 3. Requirement Consistency & Alignment, 4. Acceptance Criteria & Measurability, 5. Scenario & Edge Case Coverage, Notes, POC Readiness & Requirements Quality Checklist: Multilingual NLP Entity Inherence Classifier ### Community 111 - "Specification Quality Checklist: Multilingual NLP Entity Inherence Classifier" Cohesion: 0.33 Nodes (5): Content Quality, Feature Readiness, Notes, Requirement Completeness, Specification Quality Checklist: Multilingual NLP Entity Inherence Classifier ### Community 112 - "CLI Contract: Article Content Multi-Engine Extractor" Cohesion: 0.33 Nodes (5): 1. Comando de Execução, 2. Argumentos e Flags, 3. Códigos de Saída (Exit Codes), 4. Comportamento de Streams (I/O), CLI Contract: Article Content Multi-Engine Extractor ### Community 114 - "JSON Schema Contract: Article Content Multi-Engine Extractor" Cohesion: 0.50 Nodes (3): 1. Schema de Entrada (Input JSON), 2. Schema de Saída (Output JSON), JSON Schema Contract: Article Content Multi-Engine Extractor ### Community 115 - "PRD — Seleção determinística da biblioteca de extração de conteúdo" Cohesion: 0.07 Nodes (29): 10. Requisitos não funcionais, 11. Critérios de aceite, 12. Casos obrigatórios de teste, 13. Definition of Done, 1. Contexto, 2. Objetivo, 3.1 Incluído, 3.2 Fora do escopo (+21 more) ### Community 116 - "select_article_extractor.py" Cohesion: 0.16 Nodes (17): BatchProcessingResult, break_priority_tie(), calculate_consensus_metrics(), ExtractorCandidate, form_active_set(), main(), parse_args(), Namespace (+9 more) ### Community 117 - "1. Text Normalization Pipeline" Cohesion: 0.11 Nodes (18): 1. Text Normalization Pipeline, 2. 5-Token Shingles & Consensus Metrics, 3. Regras de Decisão, Empate Técnico e Desempate Hierárquico, 4. Estratégia de I/O Não Destrutiva e Escrita Atômica, Alternatives Considered, Context, Context, Context (+10 more) ### Community 118 - "Tasks: Deterministic Article Content Selection" Cohesion: 0.11 Nodes (18): Dependencies & Execution Order, Implementation for User Story 1, Implementation for User Story 2, Implementation for User Story 3, Implementation Strategy, Incremental Delivery (Phases 4, 5 & 6), MVP First (Phases 1, 2 & 3), Parallel Opportunities (+10 more) ### Community 119 - "select_article_extractor" Cohesion: 0.08 Nodes (37): ArticleSelectionResult, CandidateStatus, extract_candidate_data(), ExtractorName, Any, Enum, str, Extrai campo de texto, erro e calcula tokens/shingles para um motor. (+29 more) ### Community 120 - "process_batch" Cohesion: 0.10 Nodes (26): atomic_save_json(), process_batch(), Path, Salva dados em JSON de forma atômica utilizando arquivo temporário e rename., Lê o JSON de entrada, valida a estrutura, processa todos os artigos e grava o…, Path, CT-012: A entrada já contém selected_extractor -> Recalcular e substituir…, CT-013: articles está vazio -> Gerar saída válida com articles vazio. (+18 more) ### Community 122 - "test_select_article_extractor.py" Cohesion: 0.21 Nodes (14): generate_shingles(), normalize_text(), Executa a normalização determinística para comparação: 1. Decodificar entidades…, Gera conjunto de shingles ordenados de tamanho window_size (padrão 5). - Se…, Suíte de Testes Automatizados para o Seletor Determinístico de Extrator. Cobre…, Garante que marcação de imagem Markdown ![alt](url) seja descartada e link…, test_generate_shingles_empty(), test_generate_shingles_short_text() (+6 more) ### Community 123 - "Feature Specification: Deterministic Content Selection" Cohesion: 0.17 Nodes (12): Assumptions, Edge Cases, Feature Specification: Deterministic Content Selection, Functional Requirements, Key Entities *(include if feature involves data)*, Measurable Outcomes, Requirements *(mandatory)*, Success Criteria *(mandatory)* (+4 more) ### Community 124 - "2. Entity Descriptions & Fields" Cohesion: 0.18 Nodes (11): 1. Domain Entities & Value Types, 2. Entity Descriptions & Fields, 3. JSON Schema Mapping, `ArticleSelectionResult` (Dataclass), `BatchProcessingResult` (Dataclass), `CandidateStatus` (Enum), Data Model: Deterministic Content Selection, Entrada (+3 more) ### Community 125 - "Implementation Plan: Deterministic Article Content Selection" Cohesion: 0.18 Nodes (11): Constitution Check, Documentation (this feature), Implementation Phases, Implementation Plan: Deterministic Article Content Selection, Phase 0: Outline & Research *(Completed)*, Phase 1: Design & Contracts *(Completed)*, Phase 2: Tasks & Execution *(Next Step via `/speckit-tasks`)*, Project Structure (+3 more) ### Community 126 - "Deterministic Content Selection Checklist: End-to-End Requirements Quality" Cohesion: 0.25 Nodes (7): Candidate State Transitions & Resilience, Decision & Tie-Breaking Hierarchy, Deterministic Content Selection Checklist: End-to-End Requirements Quality, JSON Schema Integrity & Atomic I/O, Notes, Shingles & Consensus Metric Formulation, Text Normalization & Tokenization Quality ### Community 127 - "Quickstart: Deterministic Article Content Selection" Cohesion: 0.29 Nodes (7): 1. Pré-requisitos, 2. Execução Rápida via CLI, 3. Execução dos Testes Automatizados, 4. Validação Programática / Uso como Módulo Python, Cenário 1: Selecionar o melhor extrator para uma extração existente, Cenário 2: Especificar caminho de saída customizado e modo verboso, Quickstart: Deterministic Article Content Selection ### Community 128 - "Specification Quality Checklist: Deterministic Content Selection" Cohesion: 0.33 Nodes (5): Content Quality, Feature Readiness, Notes, Requirement Completeness, Specification Quality Checklist: Deterministic Content Selection ### Community 129 - "CLI Interface Contract: Deterministic Article Content Selection" Cohesion: 0.33 Nodes (5): 1. Command Syntax, 2. Arguments and Flags, 3. Standard Streams (I/O), 4. Exit Codes, CLI Interface Contract: Deterministic Article Content Selection ### Community 131 - "JSON Schema Contract: Deterministic Article Content Selection" Cohesion: 0.50 Nodes (3): 1. Input JSON Schema, 2. Output JSON Schema, JSON Schema Contract: Deterministic Article Content Selection ## Knowledge Gaps - **562 isolated node(s):** `text-nlp-classifier`, `MatchedGraphEntity`, `graphify`, `Usage`, `What graphify is for` (+557 more) These have ≤1 connection - possible missing edges or undocumented components. - **38 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes. ## Suggested Questions _Questions this graph is uniquely positioned to answer:_ - **Why does `ECPSnapshot` connect `ECPSnapshot` to `models.py`, `LocalEmbeddingsAdapter`, `ClassificationResult`, `InherenceClassifier`, `classifier.py`, `main`?** _High betweenness centrality (0.003) - this node is a cross-community bridge._ - **Why does `LLMFallbackAdapter` connect `ClassificationResult` to `LocalEmbeddingsAdapter`, `ECPSnapshot`, `InherenceClassifier`, `classifier.py`?** _High betweenness centrality (0.003) - this node is a cross-community bridge._ - **Why does `Research & Architectural Decisions: Deterministic Content Selection` connect `1. Text Normalization Pipeline` to `004-deterministic-content-selection/spec.md`?** _High betweenness centrality (0.003) - this node is a cross-community bridge._ - **Are the 10 inferred relationships involving `ECPSnapshot` (e.g. with `main()` and `BaseNLPAdapter`) actually correct?** _`ECPSnapshot` has 10 INFERRED edges - model-reasoned connections that need verification._ - **Are the 6 inferred relationships involving `InherenceClassifier` (e.g. with `LocalEmbeddingsAdapter` and `LLMFallbackAdapter`) actually correct?** _`InherenceClassifier` has 6 INFERRED edges - model-reasoned connections that need verification._ - **Are the 12 inferred relationships involving `ExtractorName` (e.g. with `test_article_1_regression_technical_tie_markdown_images()` and `test_ct_001_three_candidates_clear_winner()`) actually correct?** _`ExtractorName` has 12 INFERRED edges - model-reasoned connections that need verification._ - **Are the 10 inferred relationships involving `DecisionCategory` (e.g. with `InherenceClassifier` and `test_adversarial_apple_fruit_recipe()`) actually correct?** _`DecisionCategory` has 10 INFERRED edges - model-reasoned connections that need verification._