TextNLPClassifierApp/graphify-out/2026-08-20/GRAPH_REPORT.md

# Graph Report - TextNLPClassifierApp  (2026-08-20)

## Corpus Check
- 161 files · ~78,476 words
- Verdict: corpus is large enough that graph structure adds value.

## Summary
- 1000 nodes · 1226 edges · 115 communities (77 shown, 38 thin omitted)
- Extraction: 97% EXTRACTED · 3% INFERRED · 0% AMBIGUOUS · INFERRED: 39 edges (avg confidence: 0.95)
- Token cost: 0 input · 0 output

## Graph Freshness
- Built from commit: `6e3d5761`
- 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
- LocalEmbeddingsAdapter
- InherenceClassifier
- detect_language
- classifier.py
- 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
- ClassificationResult
- 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

## God Nodes (most connected - your core abstractions)
1. `ECPSnapshot` - 31 edges
2. `InherenceClassifier` - 25 edges
3. `DecisionCategory` - 18 edges
4. `ClassificationResult` - 17 edges
5. `process_batch()` - 15 edges
6. `LocalEmbeddingsAdapter` - 14 edges
7. `LLMFallbackAdapter` - 14 edges
8. `detect_language()` - 14 edges
9. `main()` - 13 edges
10. `ArticleCrawler` - 13 edges

## Surprising Connections (you probably didn't know these)
- `main()` --uses--> `ECPSnapshot`  [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
- `classifier()` --uses--> `InherenceClassifier`  [INFERRED]
  tests/test_benchmark_24.py → src/classifier.py
- `test_classification_result_serialization()` --uses--> `DecisionCategory`  [INFERRED]
  tests/test_models.py → src/models.py
- `petrobras_ecp()` --uses--> `ECPSnapshot`  [INFERRED]
  tests/test_classifier.py → src/models.py

## Import Cycles
- None detected.

## Communities (115 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 - "LocalEmbeddingsAdapter"
Cohesion: 0.14
Nodes (8): LocalEmbeddingsAdapter, Optional adapter for local multilingual semantic vector embeddings., LLMFallbackAdapter, Optional adapter for LLM fallback boundary disambiguation., Unit tests for optional adapter interfaces (Tier 2 / Tier 3)., test_classifier_with_adapter_flags(), test_embeddings_adapter_interface(), test_llm_adapter_interface()

### 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 with empty content and verify error code and exit code., Content about city/state governance of São Paulo against ECP for São Paulo FC., Run CLI via subprocess with missing target_name and verify error payload. (+19 more)

### Community 47 - "detect_language"
Cohesion: 0.14
Nodes (21): count_phrase_occurrences(), match_phrase_in_text(), 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(), normalize_text() (+13 more)

### Community 48 - "classifier.py"
Cohesion: 0.24
Nodes (11): Core deterministic classification engine (Tier 1 core)., extract_evidence_snippets(), extract_sentences(), Markdown content parser and excerpt extraction utilities., Remove markdown syntax markers (headers, bold, italics, links, code blocks) to…, Split text into individual sentences., Extract relevant sentence excerpts from Markdown text that contain any of the…, strip_markdown() (+3 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 (33): 1. 🧠 Classificador de Conteúdo e Inerência (NLP / LLM / ECP), 1. Clonar o Repositório e Criar Ambiente Virtual, 1. Extração Completa Automática, 1. River Plate (Argentina / Espanhol / 2 Páginas / Salvar em Arquivo), 2. Amostragem Rápida (Limit 2 Notícias), 2. Cruzeiro (Brasil / Português / Formatado no Terminal), 2. 📰 Extrator de Manchetes do Google News, 2. Instalar Dependências (+25 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: 0.15
Nodes (17): emit_error(), main(), parse_args(), Namespace, Enum, ClassificationError, ErrorCode, MatchedGraphEntity (+9 more)

### Community 101 - "ECPSnapshot"
Cohesion: 0.22
Nodes (10): parametrize, ECPSnapshot, Any, classifier(), fixture, Controlled 24-case benchmark suite for Multilingual NLP Entity Inherence…, test_benchmark_case(), test_ecp_snapshot_defaults() (+2 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 - "ClassificationResult"
Cohesion: 0.16
Nodes (11): 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., Optional local vector embeddings adapter (Tier 2). Disabled by default.… (+3 more)

### 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 *(Next: `/speckit-tasks`)*, 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

## Knowledge Gaps
- **465 isolated node(s):** `text-nlp-classifier`, `MatchedGraphEntity`, `graphify`, `Usage`, `What graphify is for` (+460 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`, `ClassificationResult`, `LocalEmbeddingsAdapter`, `InherenceClassifier`, `detect_language`, `classifier.py`?**
  _High betweenness centrality (0.005) - this node is a cross-community bridge._
- **Why does `InherenceClassifier` connect `InherenceClassifier` to `models.py`, `ECPSnapshot`, `ClassificationResult`, `LocalEmbeddingsAdapter`, `detect_language`, `classifier.py`?**
  _High betweenness centrality (0.003) - this node is a cross-community bridge._
- **Why does `detect_language()` connect `detect_language` to `classifier.py`?**
  _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 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._
- **Are the 4 inferred relationships involving `ClassificationResult` (e.g. with `BaseNLPAdapter` and `LocalEmbeddingsAdapter`) actually correct?**
  _`ClassificationResult` has 4 INFERRED edges - model-reasoned connections that need verification._