Files
TextNLPClassifierApp/graphify-out/GRAPH_REPORT.md
T
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

28 KiB

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
    1. Basic CLI Usage Examples
    1. 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
    1. 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)
    1. Requisitos Funcionais (FR)
  • Tasks: Article Content Multi-Engine Extractor
  • models.py
  • Implementation Plan: Article Content Multi-Engine Extractor
    1. 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.