Files
TextNLPClassifierApp/graphify-out/GRAPH_REPORT.md
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andreferraro 6a45368cb0 feat(extractor): implement multi-engine article content extractor
- Added scripts/extract_article_contents.py for batch scraping with stealth Foxcape and triple extraction (Trafilatura, Newspaper4k, Readability)
- Created unit, integration, and E2E test suite in tests/test_extract_article_contents.py (90/90 passing)
- Updated specs/003-article-content-extractor and README.md with usage documentation and CLI contracts
- Passed ruff linting/formatting and mypy type checking cleanly
2026-08-20 19:22:20 -03:00

462 lines
28 KiB
Markdown

# Graph Report - TextNLPClassifierApp (2026-08-20)
## Corpus Check
- 161 files · ~78,549 words
- Verdict: corpus is large enough that graph structure adds value.
## Summary
- 1000 nodes · 1220 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
- classifier.py
- InherenceClassifier
- detect_language
- ClassificationError
- 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
- main
- ECPSnapshot
- Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)
- 4. Requisitos Funcionais (FR)
- Tasks: Article Content Multi-Engine Extractor
- models.py
- 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` - 17 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
- `test_classification_error_serialization()` --uses--> `ErrorCode` [INFERRED]
tests/test_models.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 - "classifier.py"
Cohesion: 0.14
Nodes (9): LocalEmbeddingsAdapter, Optional adapter for local multilingual semantic vector embeddings., LLMFallbackAdapter, Optional adapter for LLM fallback boundary disambiguation., Core deterministic classification engine (Tier 1 core)., Unit tests for optional adapter interfaces (Tier 2 / Tier 3)., test_classifier_with_adapter_flags(), test_embeddings_adapter_interface() (+1 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 - "detect_language"
Cohesion: 0.09
Nodes (30): 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() (+22 more)
### Community 48 - "ClassificationError"
Cohesion: 0.29
Nodes (3): ClassificationError, Any, test_classification_error_serialization()
### 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 - "main"
Cohesion: 0.23
Nodes (13): emit_error(), main(), parse_args(), Namespace, Enum, ErrorCode, str, CLI execution tests covering flags, arguments, stdout, and error handling. (+5 more)
### Community 101 - "ECPSnapshot"
Cohesion: 0.22
Nodes (11): parametrize, ECPSnapshot, 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., test_classification_result_serialization() (+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 - "models.py"
Cohesion: 0.16
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., Optional local vector embeddings adapter (Tier 2). Disabled by default.… (+4 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 *(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
## 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 `main`, `models.py`, `classifier.py`, `InherenceClassifier`, `detect_language`?**
_High betweenness centrality (0.006) - this node is a cross-community bridge._
- **Why does `InherenceClassifier` connect `InherenceClassifier` to `main`, `ECPSnapshot`, `models.py`, `classifier.py`, `detect_language`?**
_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._