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TextNLPClassifierApp/graphify-out/2026-08-24/.graphify_labels.json
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2026-08-24 19:34:16 -03:00

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{
"0": "Task Planning",
"1": "Convergence Workflow",
"2": "SpecKit Utilities",
"3": "Graphify Commands",
"4": "speckit-analyze/SKILL.md",
"5": "Tasks: Multilingual NLP Entity Inherence Classifier (POC)",
"6": "Feature Specification Template",
"7": "Graphify Rules",
"8": "Implementation Planning",
"9": "Feature Specification",
"10": "Task Generation",
"11": "Project Constitution",
"12": "Constitution Template",
"13": "Graphify Exports",
"14": "Ponytail Configuration",
"15": "Implementation Planning Template",
"16": "Ponytail Help",
"17": "Checklist Generation",
"18": "Clarification Workflow",
"19": "Implementation Workflow",
"20": "Graph Query",
"21": "Constitution Workflow",
"22": "Feature Branch Creation",
"23": "Ponytail Audit",
"24": "Ponytail Metrics",
"25": "Ponytail Review",
"26": "Task Issue Conversion",
"27": "Checklist Template",
"28": "Graphify Watch Mode",
"29": "Graphify Hooks",
"30": "Graphify Updates",
"31": "Ponytail Debt",
"32": "Repository Merge",
"33": "Media Transcription",
"34": "Extraction Specification",
"35": "Prerequisite Checks",
"36": "Template Resolution",
"37": "Plan Setup",
"38": "Task Setup",
"39": "Graphify Workflows",
"40": "main",
"41": "1. Technical Decisions & Tradeoffs",
"42": "1. Input Schemas",
"43": "2. Basic CLI Usage Examples",
"44": "2. Standard Streams & Exit Codes",
"45": "ClassificationResult",
"46": "ECPSnapshot",
"47": "LLMFallbackAdapter",
"48": "classifier.py",
"49": "content_northvolt_de.md",
"50": "content_presal_pt.md",
"51": "content_tangential_es.md",
"52": "config.py",
"53": "src/__init__.py",
"54": "de/contextual.md",
"55": "de/direct.md",
"56": "de/not_related.md",
"57": "de/tangential.md",
"58": "en/contextual.md",
"59": "en/direct.md",
"60": "en/not_related.md",
"61": "en/tangential.md",
"62": "es/contextual.md",
"63": "es/direct.md",
"64": "es/not_related.md",
"65": "es/tangential.md",
"66": "fr/contextual.md",
"67": "fr/direct.md",
"68": "fr/not_related.md",
"69": "fr/tangential.md",
"70": "it/contextual.md",
"71": "it/direct.md",
"72": "it/not_related.md",
"73": "it/tangential.md",
"74": "pt/contextual.md",
"75": "pt/direct.md",
"76": "pt/not_related.md",
"77": "pt/tangential.md",
"78": "tests/__init__.py",
"79": "text-nlp-classifier",
"80": "test_extract_article_contents.py",
"81": "Extrator de Notícias do Google News — Guia Completo de Funcionamento",
"82": "extract_google_news.py",
"83": "ExtractionResult",
"84": "test_extract_google_news.py",
"85": "Implementation Tasks: Google News Headlines Extractor",
"86": "Feature Specification: Google News Headlines Extractor",
"87": "2. Cenários Práticos de Uso",
"88": "Implementation Plan: Google News Headlines Extractor",
"89": "scripts/__init__.py",
"90": "SearchQuery",
"91": "1. Technical Decisions & Tradeoffs",
"92": "General Readiness Checklist: Google News Headlines Extractor",
"93": "1. Entidades de Domínio & DTOs",
"94": "Specification Quality Checklist: Google News Headlines Extractor",
"95": "CLI Contract: Google News Headlines Extractor",
"96": "readiness.md",
"97": "5. 📝 Conversor de Artigo JSON para Markdown",
"98": "Extraction Pipeline Checklist: Article Content Multi-Engine Extractor",
"99": "ModelGatewayClient",
"100": "SQLiteStore",
"101": "main",
"102": "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)",
"103": "4. Requisitos Funcionais (FR)",
"104": "Tasks: Article Content Multi-Engine Extractor",
"105": "Tasks: Convert Article JSON to Markdown",
"106": "Implementation Plan: Article Content Multi-Engine Extractor",
"107": "2. Cenários de Validação",
"108": "1. Technical Decisions & Tradeoffs",
"109": "Implementation Plan: Multilingual NLP Entity Inherence Classifier (POC)",
"110": "POC Readiness & Requirements Quality Checklist: Multilingual NLP Entity Inherence Classifier",
"111": "Specification Quality Checklist: Multilingual NLP Entity Inherence Classifier",
"112": "CLI Contract: Article Content Multi-Engine Extractor",
"113": "001-multilingual-entity-classifier/spec.md",
"114": "JSON Schema Contract: Article Content Multi-Engine Extractor",
"115": "PRD — Seleção determinística da biblioteca de extração de conteúdo",
"116": "select_article_extractor.py",
"117": "1. Text Normalization Pipeline",
"118": "Tasks: Deterministic Article Content Selection",
"119": "select_article_extractor",
"120": "process_batch",
"121": "detect_language",
"122": "test_select_article_extractor.py",
"123": "Feature Specification: Deterministic Content Selection",
"124": "2. Entity Descriptions & Fields",
"125": "Implementation Plan: Deterministic Article Content Selection",
"126": "Deterministic Content Selection Checklist: End-to-End Requirements Quality",
"127": "Quickstart: Deterministic Article Content Selection",
"128": "Specification Quality Checklist: Deterministic Content Selection",
"129": "CLI Interface Contract: Deterministic Article Content Selection",
"130": "004-deterministic-content-selection/spec.md",
"131": "convert_article_to_markdown.py",
"132": "8. Regras funcionais",
"133": "12. Critérios de aceite",
"134": "PRD — Conversão de artigo JSON para Markdown",
"135": "resolve_article_body",
"136": "Implementation Plan: Convert Article JSON to Markdown",
"137": "2. Technical Decisions & Research Findings",
"138": "Feature Specification: Convert Article JSON to Markdown",
"139": "Markdown Conversion Checklist: End-to-End Requirements Quality",
"140": "convert_article",
"141": "005-convert-json-markdown/plan.md",
"142": "Quickstart: Convert Article JSON to Markdown",
"143": "1. Domain Entities & Schemas",
"144": "11. Requisitos não funcionais",
"145": "parse_arguments",
"146": "Specification Quality Checklist: Convert Article JSON to Markdown",
"147": "CLI Contract: `convert_article_to_markdown.py`",
"148": "9. Interface CLI",
"149": "test_convert_article_to_markdown.py",
"150": "13. Estratégia de testes",
"151": "6. Contrato de entrada",
"152": "test_models.py",
"153": "convert_html_to_markdown",
"154": "properties",
"155": "5. Escopo",
"156": "Los puntajes de River vs. Independiente Santa Fe, por la Copa Sudamericana - TyC Sports",
"157": "valid_newspaper4k.md",
"158": "valid_readability.md",
"159": "consolidate.py",
"160": "run_preflight_checks",
"161": "adapter.py",
"162": "validate_and_extract_enrichment",
"163": "candidate/parser.py",
"164": "hygiene/harness.py",
"165": "SanitizedJsonLogger",
"166": "InputSizeExceededError",
"167": "CandidateObject",
"168": "enum",
"169": "Plano de testes e evals — Runtime de consolidação de artigos",
"170": "Especificação de prompt, contexto e harness — Runtime",
"171": "ExecutionStateMachine",
"172": "Implementation Tasks: Article Consolidation and Hygiene Runtime",
"173": "🧪 Documentação da Suíte de Testes Automatizados",
"174": "properties",
"175": "repair-operations.schema.json",
"176": "Functional Requirements",
"177": "test_equivalence_mapping.py",
"178": "enrichment-response.schema.json",
"179": "create_manifest_dict",
"180": "Catálogo de métricas e KPIs — Runtime de consolidação de artigos",
"181": "article_content_hygiene",
"182": "._get_connection",
"183": "Documento de Arquitetura — Runtime de consolidação de artigos",
"184": "null",
"185": "Runbook de produção — Runtime de consolidação de artigos",
"186": "article_content_hygiene",
"187": "properties",
"188": "properties",
"189": "PRD — Runtime de consolidação e higienização de artigos",
"190": "required",
"191": "properties",
"192": "type",
"193": "properties",
"194": "build_minimal_hygiene_projection",
"195": "check_zero_regex.py",
"196": "properties",
"197": "runtime-config.schema.json",
"198": "properties",
"199": "object",
"200": "candidates-payload.schema.json",
"201": "limits",
"202": "langfuse",
"203": "string",
"204": "type",
"205": "CLI Interface Contract: Article Consolidation and Hygiene Runtime",
"206": "2. Entity Definitions",
"207": "3. Concrete Architectural & Technical Decisions",
"208": "Requirements Readiness Checklist: Article Consolidation and Hygiene Runtime",
"209": "object",
"210": "null",
"211": "properties",
"212": "calculate_execution_fingerprint",
"213": "model_versions",
"214": "3. Operational Execution Scenarios",
"215": "type",
"216": "test_cli_subprocess_pipeline.py",
"217": "clean_body_images",
"218": "ecp",
"219": "paths",
"220": "properties",
"221": "properties",
"222": "properties",
"223": "required",
"224": "required",
"225": "kept_block_ids",
"226": "parametrize",
"227": "4. 🎯 Seletor Determinístico de Conteúdo de Artigos",
"228": "1. Operational Commands",
"229": "sqlite",
"230": "required",
"231": "pricing",
"232": "article-input.schema.json",
"233": "properties",
"234": "enum",
"235": "required",
"236": "Implementation Plan: Article Consolidation and Hygiene Runtime",
"237": "verify_all_11_invariants",
"238": "enum",
"239": "required",
"240": "manifest-output.schema.json",
"241": "Prompts Versioned Contract: Article Consolidation and Hygiene Runtime",
"242": "6. 🚀 Runtime de Consolidação e Higienização de Artigos (006-article-consolidation-runtime)",
"243": "13. Parsing estrutural sem regex",
"244": "metadata_candidates",
"245": "enum",
"246": "required",
"247": "enum",
"248": "ecp-snapshot.schema.json",
"249": "hygiene-response.schema.json",
"250": "🧠 TextNLPClassifierApp",
"251": "ADR-003 — Usar orquestração explícita em Python, sem LangChain ou LangGraph",
"252": "required",
"253": "Specification Quality Checklist: Article Consolidation and Hygiene Runtime",
"254": "enum",
"255": "enum",
"256": "1. 🧠 Classificador de Conteúdo e Inerência (NLP / LLM / ECP)",
"257": "10. Contrato de saída",
"258": "14. Higienização por LLM",
"259": "4. Regras mandatórias",
"260": "8. Contrato de entrada do artigo",
"261": "18. Integração ECP",
"262": "7. Orquestração",
"263": "ADR-001 — Separar runtime e self-healing",
"264": "ADR-002 — Iniciar o runtime após a seleção do extrator",
"265": "ADR-004 — Gateway agnóstico com apenas modelos baratos no runtime",
"266": "ADR-005 — Proibir regex e palavras-chave manuais em decisões textuais",
"267": "ADR-006 — LLM seleciona evidências e propõe reparos, não regenera o artigo",
"268": "ADR-007 — Tornar o ECP obrigatório antes de toda saída editorial",
"269": "ADR-008 — Langfuse no runtime e Promptfoo no CI",
"270": "ADR-009 — Persistir estado em SQLite e saídas no filesystem",
"271": "ADR-010 — Produzir resultado estruturado sempre e Markdown condicionalmente",
"272": "ADR-011 — Definir SLOs de custo e latência a partir de staging",
"273": "7. Checklist de release",
"274": "eval_runner.py",
"275": "ecp-profile.schema.json",
"276": "prompt_versions",
"277": "12. Preparação determinística",
"278": "15. Pequenos reparos textuais",
"279": "9. Contrato do ECP",
"280": "15. Higienização extrativa",
"281": "16. Pequenos reparos",
"282": "20. Model Gateway",
"283": "23. Observabilidade",
"284": "3. Limites do sistema",
"285": "9. Política de dependências",
"286": "12. Monitoramento",
"287": "14. Reprocessamento",
"288": "16. Falha do provider primário",
"289": "21. Falha do SQLite",
"290": "6. Configuração obrigatória",
"291": "build_release_metadata.py",
"292": "removal_reasons",
"293": "kept_image_ids",
"296": "test_prompts_contract.py",
"298": "Release Quality Summary Report",
"299": "Comandos e Utilitários CLI",
"300": "13. Candidatos e proveniência",
"301": "16. Imagens e links",
"302": "17. Gate ECP",
"303": "18. Enriquecimento",
"304": "5. Escopo",
"305": "14. Modelo de candidatos",
"306": "22. Renderer e arquivos",
"307": "Architecture Decision Records — Runtime de consolidação de artigos",
"308": "15. Falha de validação de entrada",
"309": "17. Falha semântica ou de grounding",
"310": "18. Falha do ECP",
"311": "20. Falha do Langfuse",
"312": "22. Falha de filesystem ou disco",
"313": "26. Rollback manual",
"314": "ci_check.py",
"315": "prepare_reference_20.py",
"316": "test_contract_parity.py",
"317": "test_zero_regex_enforcement.py",
"318": "sample_rss_xml",
"319": "runtime/__init__.py",
"320": "adapters/__init__.py",
"321": "tools/__init__.py",
"322": "test_normalize_list_author_url_filtering",
"323": "test_normalize_list_deduplication_preserves_case_and_order",
"324": "test_normalize_date_iso_8601_variants",
"325": "test_normalize_date_invalid_and_placeholders",
"326": "test_metadata_priority_original_url_all_fallbacks",
"327": "test_normalize_scalar_whitespace_collapsing",
"328": "test_normalize_scalar_non_string_types",
"329": "2. 📰 Extrator de Manchetes do Google News",
"331": "⚙️ Instalação e Setup",
"332": "3. 📄 Extrator e Parser Multimotor de Artigos"
}