diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..a5dae42 --- /dev/null +++ b/.env.example @@ -0,0 +1,3 @@ +OPENAI_API_KEY= +OPENAI_BASE_URL="https://omniroute.app.andreferraro.com/v1" +OPENAI_MODEL="cgpt-web/gpt-5.5" diff --git a/graphify-out/.graphify_labels.json b/graphify-out/.graphify_labels.json index 7c708f5..78b97a3 100644 --- a/graphify-out/.graphify_labels.json +++ b/graphify-out/.graphify_labels.json @@ -148,7 +148,7 @@ "146": "Specification Quality Checklist: Convert Article JSON to Markdown", "147": "CLI Contract: `convert_article_to_markdown.py`", "148": "9. Interface CLI", - "149": "get_hl_gl_ceid", + "149": "sample_rss_xml", "150": "13. Estratégia de testes", "151": "6. Contrato de entrada", "152": "ECPSnapshot", diff --git a/graphify-out/.graphify_labels.json.sig b/graphify-out/.graphify_labels.json.sig index bdef8c4..53a2d8d 100644 --- a/graphify-out/.graphify_labels.json.sig +++ b/graphify-out/.graphify_labels.json.sig @@ -1 +1 @@ -{"0": "36bdb6f09c457f7c", "1": "8c5bf6244cf710c6", "2": "efbcc9c62a3ee78b", "3": "8599153989b07faa", "4": "b5952a1f7fee9f20", "5": "5b8462a3f82d188c", "6": "80f79e9e2011a3e3", "7": "4654167fd211d027", "8": "50acfa00fe353440", "9": "c6d2f770737823f1", "10": "44f2ca451aea24be", "11": "feaac5ab67a8c17a", "12": "b71bd92e5edbf2e0", "13": "219d65ba6d2689e4", "14": "8e30bb8112fd02d1", "15": "03906ab80b99db85", "16": "5d51c60ba1bc2be0", "17": "a1da914f522dcd21", "18": "fbad840891b90569", "19": "0686ff2d6fe29fb3", "20": "060baa9e1924b465", "21": "a5c8f2c3080b8243", "22": "0d76852f1d29eeb1", "23": "6ff68619f2d72924", "24": "3da11675eee7ec46", "25": "a6696589e9556f97", "26": "6c752999e8a4d4b6", "27": "2d4e13ea2111d750", "28": 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"943c894b7e96a921", "46": "b30963ae66d7e3c9", "47": "85bec2d6e2b742cf", "48": "0237e1e02ee47a27", "49": "0d0f9f015921feef", "50": "8d0c81e5ca23e9a6", "51": "f79963571b9c15ee", "52": "5935824c825606cb", "53": "9685f9cbe158e50b", "54": "3d5ab759f350bc79", "55": "d549f24931a990e9", "56": "3cc031dcb648797c", "57": "a0ab88e6c629251d", "58": "76bd6412e2a22ecd", "59": "54827845564490c9", "60": "0a9736c416c0c6b9", "61": "77358620ac528153", "62": "3b0c585df09df48a", "63": "7e78cd3b28828c20", "64": "1c0c958231735f61", "65": "60b0f81225f62f69", "66": "920754c65cc94b88", "67": "df911472140a9b94", "68": "8e17bc11bcea91b9", "69": "7e905b75e4f28b95", "70": "a28424eca5d36c55", "71": "2cdb53d5b6051ab6", "72": "e42fbd3dc744e730", "73": "7fe2cac980de160c", "74": "2b1343a6a9db1487", "75": "54a1bb232f1d4ceb", "76": "442ba11d31ec0e0a", "77": "852a25b8b95bf8d1", "78": "1810ab370b9cd608", "79": "0fc5dca02a3f02f6", "80": "6ff8a97e63c9a2f3", "81": "a38f84ae3d895236", "82": "08e48bd11f9714df", "83": 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"27256931b19a2867", "121": "3d7cd9541766116e", "122": "aa8a1de55696b666", "123": "96618c9a362af46c", "124": "83f104cbb62fd03e", "125": "6db738fb27190349", "126": "6a087a22cbcef972", "127": "85fd71a0cad8d3a5", "128": "22dd4feed96c4229", "129": "c4d2f60f532e6f16", "130": "f6b0aa8a1568926b", "131": "142d0db70bad18fe", "132": "67ea4284cbc02c54", "133": "d899cfc86c7a4a27", "134": "ba9464410a9b4168", "135": "0d496a12149eca27", "136": "521f5c7b9d566b4d", "137": "9e37828bdd2ba8c5", "138": "ec03c97194c56f91", "139": "f4e6d5dfa30034c5", "140": "d9b47fa423cf0748", "141": "1e0330b8757f333e", "142": "f35d75e1194c008d", "143": "4d2ae7190b514a34", "144": "4a98716cabf43f86", "145": "56b2431193739c38", "146": "edc785fd71bb0675", "147": "4c7347f8f86e1fbd", "148": "8ca77cc4fd6fd437", "149": "8968e9e7d55afcbe", "150": "f4f4ce1a1180ddb1", "151": "e426746f6e9ee15f", "152": "73cf7c102ed797ed", "153": "a3593e6f45bafb20", "154": "56747bad6345d66b", "155": "a8e7498fa7e257df", "156": "56e7b2355898077f", "157": "f2fc88f7d8214711", "158": "c966f6f8570c8c29", "159": "5f6094aa385f3bfe", "160": "2834e7d59672e756", "161": "cc6e436d94fd0033", "162": "64f33a2fc8969cd2", "163": "26ac1c0a00eabce1", "164": "cdcea44a6805ae55", "165": "f3f95b2d8f95c75f", "166": "85c97dab928b9b1b", "167": "7ab5695391e32126", "168": "8c55178d04b00f23", "169": "a68dbc0869da4c5e"} \ No newline at end of file diff --git a/graphify-out/2026-08-21/.graphify_labels.json b/graphify-out/2026-08-21/.graphify_labels.json index d875389..7c708f5 100644 --- a/graphify-out/2026-08-21/.graphify_labels.json +++ b/graphify-out/2026-08-21/.graphify_labels.json @@ -46,7 +46,7 @@ "44": "2. Standard Streams & Exit Codes", "45": "ClassificationResult", "46": "test_adversarial.py", - "47": "classifier.py", + "47": "LLMFallbackAdapter", "48": "test_convert_article_to_markdown.py", "49": "content_northvolt_de.md", "50": "content_presal_pt.md", @@ -100,7 +100,7 @@ "98": "Extraction Pipeline Checklist: Article Content Multi-Engine Extractor", "99": "parametrize", "100": "main", - "101": "ECPSnapshot", + "101": "classifier.py", "102": "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)", "103": "4. Requisitos Funcionais (FR)", "104": "Tasks: Article Content Multi-Engine Extractor", @@ -120,7 +120,7 @@ "118": "Tasks: Deterministic Article Content Selection", "119": "select_article_extractor", "120": "process_batch", - "121": "detect_language", + "121": "test_models.py", "122": "test_select_article_extractor.py", "123": "Feature Specification: Deterministic Content Selection", "124": "2. Entity Descriptions & Fields", @@ -148,10 +148,10 @@ "146": "Specification Quality Checklist: Convert Article JSON to Markdown", "147": "CLI Contract: `convert_article_to_markdown.py`", "148": "9. Interface CLI", - "149": "sample_rss_xml", + "149": "get_hl_gl_ceid", "150": "13. Estratégia de testes", "151": "6. Contrato de entrada", - "152": "LLMFallbackAdapter", + "152": "ECPSnapshot", "153": "convert_html_to_markdown", "154": "JSON Schema Contract: Deterministic Article Content Selection", "155": "5. Escopo", @@ -166,5 +166,7 @@ "164": "test_normalize_scalar_non_string_types", "165": "InherenceClassifier", "166": "remove_duplicate_initial_h1", - "167": "test_normalize_scalar_whitespace_collapsing" + "167": "test_normalize_scalar_whitespace_collapsing", + "168": ".disambiguate", + "169": "test_funnel_cli_subprocess_end_to_end" } diff --git a/graphify-out/2026-08-21/GRAPH_REPORT.md b/graphify-out/2026-08-21/GRAPH_REPORT.md index b7c8458..4e8b1de 100644 --- a/graphify-out/2026-08-21/GRAPH_REPORT.md +++ b/graphify-out/2026-08-21/GRAPH_REPORT.md @@ -1,16 +1,16 @@ # Graph Report - TextNLPClassifierApp (2026-08-21) ## Corpus Check -- 202 files · ~112,197 words +- 203 files · ~114,894 words - Verdict: corpus is large enough that graph structure adds value. ## Summary -- 1579 nodes · 2030 edges · 168 communities (120 shown, 48 thin omitted) -- Extraction: 96% EXTRACTED · 4% INFERRED · 0% AMBIGUOUS · INFERRED: 73 edges (avg confidence: 0.95) +- 1651 nodes · 2220 edges · 170 communities (122 shown, 48 thin omitted) +- Extraction: 94% EXTRACTED · 6% INFERRED · 0% AMBIGUOUS · INFERRED: 127 edges (avg confidence: 0.95) - Token cost: 0 input · 0 output ## Graph Freshness -- Built from commit: `bae14405` +- Built from commit: `a874b98d` - Run `git rev-parse HEAD` and compare to check if the graph is stale. - Run `graphify update .` after code changes (no API cost). @@ -58,7 +58,7 @@ - 2. Standard Streams & Exit Codes - ClassificationResult - test_adversarial.py -- classifier.py +- LLMFallbackAdapter - test_convert_article_to_markdown.py - content_northvolt_de.md - content_presal_pt.md @@ -111,7 +111,7 @@ - Extraction Pipeline Checklist: Article Content Multi-Engine Extractor - parametrize - main -- ECPSnapshot +- classifier.py - Feature Specification: Multilingual NLP Entity Inherence Classifier (POC) - 4. Requisitos Funcionais (FR) - Tasks: Article Content Multi-Engine Extractor @@ -130,7 +130,7 @@ - Tasks: Deterministic Article Content Selection - select_article_extractor - process_batch -- detect_language +- test_models.py - test_select_article_extractor.py - Feature Specification: Deterministic Content Selection - 2. Entity Descriptions & Fields @@ -157,10 +157,10 @@ - Specification Quality Checklist: Convert Article JSON to Markdown - CLI Contract: `convert_article_to_markdown.py` - 9. Interface CLI -- sample_rss_xml +- get_hl_gl_ceid - 13. Estratégia de testes - 6. Contrato de entrada -- LLMFallbackAdapter +- ECPSnapshot - convert_html_to_markdown - JSON Schema Contract: Deterministic Article Content Selection - 5. Escopo @@ -176,35 +176,37 @@ - InherenceClassifier - remove_duplicate_initial_h1 - test_normalize_scalar_whitespace_collapsing +- .disambiguate +- test_funnel_cli_subprocess_end_to_end ## God Nodes (most connected - your core abstractions) -1. `ECPSnapshot` - 49 edges -2. `InherenceClassifier` - 36 edges -3. `DecisionCategory` - 35 edges -4. `LLMFallbackAdapter` - 32 edges -5. `ClassificationResult` - 26 edges +1. `ECPSnapshot` - 78 edges +2. `InherenceClassifier` - 62 edges +3. `DecisionCategory` - 62 edges +4. `LLMFallbackAdapter` - 48 edges +5. `ClassificationResult` - 29 edges 6. `select_article_extractor()` - 23 edges 7. `ExtractorName` - 21 edges -8. `PRD — Conversão de artigo JSON para Markdown` - 16 edges -9. `process_batch()` - 15 edges -10. `8. Regras funcionais` - 15 edges +8. `main()` - 20 edges +9. `PRD — Conversão de artigo JSON para Markdown` - 16 edges +10. `process_batch()` - 15 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] +- `main()` --uses--> `ErrorCode` [INFERRED] + classify.py → src/models.py +- `test_e2e_extract_google_news_live_pipeline()` --uses--> `ExtractionResult` [INFERRED] tests/test_extract_google_news.py → scripts/extract_google_news.py - `test_llm_adapter_interface()` --calls--> `LLMFallbackAdapter` [EXTRACTED] tests/test_adapters.py → src/adapters/llm.py - `classifier()` --uses--> `InherenceClassifier` [INFERRED] tests/test_benchmark_24.py → src/classifier.py -- `test_adversarial_apple_fruit_recipe()` --uses--> `DecisionCategory` [INFERRED] - tests/test_adversarial.py → src/models.py ## Import Cycles - None detected. -## Communities (168 total, 48 thin omitted) +## Communities (170 total, 48 thin omitted) ### Community 0 - "Task Planning" Cohesion: 0.07 @@ -348,15 +350,15 @@ Nodes (6): 1.1 Arguments & Options, 1. Command Line Interface, 2.1 Exit Codes, 2 ### Community 45 - "ClassificationResult" Cohesion: 0.10 -Nodes (20): 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., LocalEmbeddingsAdapter (+12 more) +Nodes (19): 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., LocalEmbeddingsAdapter (+11 more) ### Community 46 - "test_adversarial.py" -Cohesion: 0.11 -Nodes (19): 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., Run CLI via subprocess with missing target_name and verify error payload., Run CLI via subprocess with corrupted JSON and verify error payload., Content about apple fruit/culinary recipe against Apple Inc. tech entity., High-weight related entity mentioned in passing without required domain anchors. (+11 more) +Cohesion: 0.10 +Nodes (21): 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., Run CLI via subprocess with missing target_name and verify error payload., Run CLI via subprocess with corrupted JSON and verify error payload., High-weight related entity mentioned in passing without required domain anchors. (+13 more) -### Community 47 - "classifier.py" -Cohesion: 0.16 -Nodes (15): count_phrase_occurrences(), match_phrase_in_text(), Core deterministic classification engine (Tier 1 core)., Check if a normalized phrase appears in normalized text with word boundary…, Count occurrences of a phrase in text., Classify inherence of content against an ECP snapshot., extract_evidence_snippets(), extract_sentences() (+7 more) +### Community 47 - "LLMFallbackAdapter" +Cohesion: 0.06 +Nodes (43): LLMFallbackAdapter, Optional adapter for LLM fallback boundary disambiguation., Any, parametrize, Suíte de Testes Exaustiva para o Classificador de Inerência (classify.py e…, Cenário 4.1: Caso ambíguo elevado para DIRECT_INHERENT pelo LLM., Cenário 4.2: Caso ambíguo elevado para CONTEXTUAL_INHERENT pelo LLM., Cenário 4.3: LLM confirma categoricamente que a menção é periférica /… (+35 more) ### Community 48 - "test_convert_article_to_markdown.py" Cohesion: 0.08 @@ -371,16 +373,16 @@ 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) +Cohesion: 0.20 +Nodes (14): extract_google_news(), _fetch_rss_content(), NewsArticle, _normalize_text_for_comparison(), parse_google_news_rss(), Remove pontuação e espaços extras para comparação de redundância., Parseia o XML do RSS do Google News e extrai os itens estruturados., Resolve em paralelo as URLs intermediárias do Google News para os links finais… (+6 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() +Nodes (5): ExtractionResult, Any, Resultado consolidado da extração., Valida a consolidação do ExtractionResult a partir da busca mockada com URLs…, test_extract_google_news_orchestration_mocked() ### 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) +Cohesion: 0.16 +Nodes (14): Resolve a URL intermediária do Google News para a URL real do veículo., resolve_article_url(), fixture, Testes unitários e de integração para o Extrator de Manchetes do Google News.…, Valida o parsing do feed RSS, higienização de tags HTML e deduplicação., 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… (+6 more) ### Community 85 - "Implementation Tasks: Google News Headlines Extractor" Cohesion: 0.14 @@ -400,7 +402,7 @@ Nodes (7): Architecture & Pipeline, Documentation (this feature), Implementation ### 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() +Nodes (6): Value Object com parâmetros de busca validados., SearchQuery, Valida E2E o fluxo completo de busca, parsing e resolução de URLs reais ao vivo., Valida as regras de negócio e limites de SearchQuery., test_e2e_extract_google_news_live_pipeline(), test_search_query_validation() ### Community 91 - "1. Technical Decisions & Tradeoffs" Cohesion: 0.25 @@ -435,12 +437,12 @@ Cohesion: 0.22 Nodes (9): parametrize, Garante aceitação de URLs absolutas com esquema HTTP e HTTPS válidos., Garante rejeição de esquemas não permitidos, URLs relativas e strings vazias., Garante que a ausência de corpo no extrator selecionado NUNCA faça fallback…, Garante que todos os placeholders documentados no PRD sejam descartados…, test_normalize_scalar_placeholders_discarded(), test_resolve_article_body_strict_isolation_all_extractors(), test_validate_url_invalid_schemes() (+1 more) ### Community 100 - "main" -Cohesion: 0.17 -Nodes (15): emit_error(), main(), parse_args(), Namespace, ClassificationError, ErrorCode, Enum, str (+7 more) +Cohesion: 0.14 +Nodes (20): main(), Path, Cenário 6.1: Caminho de ECP inexistente -> Exit Code 1, error_code:…, Cenário 6.2: Arquivo ECP com sintaxe JSON corrompida., Cenário 6.3: Valida erro para falta de cada um dos campos obrigatórios do ECP., Cenário 6.4: Caminho de arquivo Markdown inexistente., Cenário 6.5: Arquivo Markdown vazio ou contendo apenas espaços em branco., Cenário 6.6: A flag -o / --output cria diretórios aninhados automaticamente. (+12 more) -### Community 101 - "ECPSnapshot" -Cohesion: 0.18 -Nodes (12): ECPSnapshot, Any, classifier(), fixture, parametrize, Controlled 24-case benchmark suite for Multilingual NLP Entity Inherence…, test_benchmark_case(), Unit tests for ECP models, schema validation, and structured error handling. (+4 more) +### Community 101 - "classifier.py" +Cohesion: 0.17 +Nodes (12): emit_error(), parse_args(), Namespace, Core deterministic classification engine (Tier 1 core)., ErrorCode, MatchedGraphEntity, Enum, str (+4 more) ### Community 102 - "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)" Cohesion: 0.14 @@ -514,13 +516,13 @@ Nodes (35): CandidateStatus, extract_candidate_data(), ExtractorName, Any, Enum, Cohesion: 0.11 Nodes (24): atomic_save_json(), process_batch(), Path, Salva dados em JSON de forma atômica utilizando arquivo temporário e rename., Lê o JSON de entrada, valida a estrutura, processa todos os artigos e grava o…, Path, CT-012: A entrada já contém selected_extractor -> Recalcular e substituir…, CT-013: articles está vazio -> Gerar saída válida com articles vazio. (+16 more) -### Community 121 - "detect_language" -Cohesion: 0.19 -Nodes (16): detect_language(), extract_words(), normalize_text(), Lightweight multilingual language detection and text normalization., Normalize text by converting to lowercase and stripping combining diacritical…, Tokenize text into lowercase alphanumeric words., Detect the ISO-639-1 language code of text among supported languages (pt, en,…, Unit tests for language detection and text normalization. (+8 more) +### Community 121 - "test_models.py" +Cohesion: 0.07 +Nodes (37): 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() (+29 more) ### Community 122 - "test_select_article_extractor.py" Cohesion: 0.18 -Nodes (16): generate_shingles(), normalize_text(), Executa a normalização determinística para comparação: 1. Decodificar entidades…, Gera conjunto de shingles ordenados de tamanho window_size (padrão 5). - Se…, Suíte de Testes Automatizados para o Seletor Determinístico de Extrator. Cobre…, Garante que marcação de imagem Markdown ![alt](url) seja descartada e link…, E2E: Executa CLI com arquivo inexistente e valida código 1 e mensagem no stderr., test_e2e_cli_subprocess_missing_file() (+8 more) +Nodes (16): generate_shingles(), normalize_text(), Executa a normalização determinística para comparação: 1. Decodificar entidades…, Gera conjunto de shingles ordenados de tamanho window_size (padrão 5). - Se…, Suíte de Testes Automatizados para o Seletor Determinístico de Extrator. Cobre…, Garante que marcação de imagem Markdown ![alt](url) seja descartada e link…, E2E: Executa scripts/select_article_extractor.py como subprocesso real na linha…, test_e2e_cli_subprocess_real_execution() (+8 more) ### Community 123 - "Feature Specification: Deterministic Content Selection" Cohesion: 0.17 @@ -622,9 +624,9 @@ Nodes (5): 1. Script Signature, 2. Command-Line Arguments, 3. Exit Codes, 4. Sta Cohesion: 0.40 Nodes (5): 9.1 Script, 9.2 Argumentos, 9.3 Exemplos, 9.4 Saída do processo, 9. Interface CLI -### Community 149 - "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 149 - "get_hl_gl_ceid" +Cohesion: 0.25 +Nodes (8): get_hl_gl_ceid(), Mapeia idioma e locale para os parâmetros hl, gl e ceid do Google News., Valida o mapeamento padrão de idiomas para pares (hl, gl, ceid)., Valida a sobrescrita geográfica quando o argumento locale é especificado., Valida fallback dinâmico para idiomas regionais não listados explicitamente., test_get_hl_gl_ceid_default_mappings(), test_get_hl_gl_ceid_dynamic_fallback(), test_get_hl_gl_ceid_with_custom_locale() ### Community 150 - "13. Estratégia de testes" Cohesion: 0.50 @@ -634,9 +636,9 @@ Nodes (4): 13.1 Testes unitários, 13.2 Testes de integração do CLI, 13.3 Caso Cohesion: 0.50 Nodes (4): 6.1 Formato, 6.2 Valores aceitos para `selected_extractor`, 6.3 Campos obrigatórios após a resolução, 6. Contrato de entrada -### Community 152 - "LLMFallbackAdapter" -Cohesion: 0.08 -Nodes (26): LLMFallbackAdapter, Executes LLM fallback for ambiguous boundary cases. Returns a refined…, Parses and validates structured JSON response from LLM., Optional adapter for LLM fallback boundary disambiguation., Returns True if an API key or custom provider function is configured., Constructs an expert-engineered prompt for multilingual entity inherence…, Any, Suíte de Testes para o Adaptador de Fallback para LLM (Tier 3) do Classificador… (+18 more) +### Community 152 - "ECPSnapshot" +Cohesion: 0.13 +Nodes (20): ECPSnapshot, parametrize, test_benchmark_case(), Suíte de Testes para o Adaptador de Fallback para LLM (Tier 3) do Classificador…, Valida extração de JSON quando a resposta do LLM vem formatada em bloco…, Valida que respostas corrompidas ou JSONs sem campos obrigatórios retornem None…, Garante que o classificador dispare o Tier 3 LLM para casos ambíguos…, Garante que casos claros (alta confiança e alta densidade de âncoras) NÃO… (+12 more) ### Community 153 - "convert_html_to_markdown" Cohesion: 0.33 @@ -651,13 +653,21 @@ Cohesion: 0.67 Nodes (3): 5.1 Incluído, 5.2 Fora do escopo, 5. Escopo ### Community 165 - "InherenceClassifier" -Cohesion: 0.11 -Nodes (30): InherenceClassifier, Tier 1 Deterministic NLP Entity Inherence Classifier with optional Tier 2 /…, DecisionCategory, Content about city/state governance of São Paulo against ECP for São Paulo FC., test_adversarial_sao_paulo_city_vs_fc(), Unit tests for deterministic classification decision logic., test_contextual_inherent(), test_direct_inherent() (+22 more) +Cohesion: 0.07 +Nodes (45): InherenceClassifier, Tier 1 Deterministic NLP Entity Inherence Classifier with optional Tier 2 /…, DecisionCategory, Content about apple fruit/culinary recipe against Apple Inc. tech entity., test_adversarial_apple_fruit_recipe(), Unit tests for deterministic classification decision logic., test_contextual_inherent(), test_direct_inherent() (+37 more) ### Community 166 - "remove_duplicate_initial_h1" Cohesion: 0.50 Nodes (4): Remove o primeiro título H1 do corpo somente quando ele for igual ao título…, remove_duplicate_initial_h1(), Testa remoção de H1 inicial coincidente com título com variações de espaços e…, test_remove_duplicate_initial_h1_exact_and_variations() +### Community 168 - ".disambiguate" +Cohesion: 0.25 +Nodes (4): Executes LLM fallback for ambiguous boundary cases. Returns a refined…, Parses and validates structured JSON response from LLM., Returns True if an API key or custom provider function is configured., Constructs an expert-engineered prompt for multilingual entity inherence… + +### Community 169 - "test_funnel_cli_subprocess_end_to_end" +Cohesion: 0.67 +Nodes (3): Path, Valida o contrato CLI completo classify.py com saída em arquivo JSON e flags…, test_funnel_cli_subprocess_end_to_end() + ## Knowledge Gaps - **696 isolated node(s):** `text-nlp-classifier`, `MatchedGraphEntity`, `graphify`, `Usage`, `What graphify is for` (+691 more) These have ≤1 connection - possible missing edges or undocumented components. @@ -666,17 +676,17 @@ Nodes (4): Remove o primeiro título H1 do corpo somente quando ele for igual ao ## Suggested Questions _Questions this graph is uniquely positioned to answer:_ +- **Why does `ECPSnapshot` connect `ECPSnapshot` to `main`, `classifier.py`, `InherenceClassifier`, `.disambiguate`, `ClassificationResult`, `test_adversarial.py`, `LLMFallbackAdapter`, `test_models.py`?** + _High betweenness centrality (0.009) - this node is a cross-community bridge._ - **Why does `PRD — Conversão de artigo JSON para Markdown` connect `PRD — Conversão de artigo JSON para Markdown` to `8. Regras funcionais`, `12. Critérios de aceite`, `11. Requisitos não funcionais`, `9. Interface CLI`, `13. Estratégia de testes`, `6. Contrato de entrada`, `5. Escopo`?** - _High betweenness centrality (0.006) - this node is a cross-community bridge._ -- **Why does `Tasks: Convert Article JSON to Markdown` connect `Tasks: Convert Article JSON to Markdown` to `005-convert-json-markdown/plan.md`?** _High betweenness centrality (0.004) - this node is a cross-community bridge._ -- **Why does `ECPSnapshot` connect `ECPSnapshot` to `main`, `InherenceClassifier`, `ClassificationResult`, `test_adversarial.py`, `classifier.py`, `LLMFallbackAdapter`?** +- **Why does `InherenceClassifier` connect `InherenceClassifier` to `main`, `classifier.py`, `ClassificationResult`, `test_adversarial.py`, `LLMFallbackAdapter`, `ECPSnapshot`, `test_models.py`?** _High betweenness centrality (0.004) - this node is a cross-community bridge._ -- **Are the 16 inferred relationships involving `ECPSnapshot` (e.g. with `main()` and `BaseNLPAdapter`) actually correct?** - _`ECPSnapshot` has 16 INFERRED edges - model-reasoned connections that need verification._ -- **Are the 7 inferred relationships involving `InherenceClassifier` (e.g. with `LocalEmbeddingsAdapter` and `LLMFallbackAdapter`) actually correct?** - _`InherenceClassifier` has 7 INFERRED edges - model-reasoned connections that need verification._ -- **Are the 24 inferred relationships involving `DecisionCategory` (e.g. with `LLMFallbackAdapter` and `InherenceClassifier`) actually correct?** - _`DecisionCategory` has 24 INFERRED edges - model-reasoned connections that need verification._ +- **Are the 42 inferred relationships involving `ECPSnapshot` (e.g. with `main()` and `BaseNLPAdapter`) actually correct?** + _`ECPSnapshot` has 42 INFERRED edges - model-reasoned connections that need verification._ +- **Are the 8 inferred relationships involving `InherenceClassifier` (e.g. with `LocalEmbeddingsAdapter` and `LLMFallbackAdapter`) actually correct?** + _`InherenceClassifier` has 8 INFERRED edges - model-reasoned connections that need verification._ +- **Are the 50 inferred relationships involving `DecisionCategory` (e.g. with `LLMFallbackAdapter` and `InherenceClassifier`) actually correct?** + _`DecisionCategory` has 50 INFERRED edges - model-reasoned connections that need verification._ - **Are the 4 inferred relationships involving `LLMFallbackAdapter` (e.g. with `ClassificationResult` and `DecisionCategory`) actually correct?** _`LLMFallbackAdapter` has 4 INFERRED edges - model-reasoned connections that need verification._ \ No newline at end of file diff --git a/graphify-out/2026-08-21/graph.json b/graphify-out/2026-08-21/graph.json index 1035ca8..800bbe1 100644 --- a/graphify-out/2026-08-21/graph.json +++ b/graphify-out/2026-08-21/graph.json @@ -3,44 +3,31 @@ "multigraph": false, "graph": {}, "nodes": [ - { - "id": "src_models_classificationerror", - "label": "ClassificationError", - "_callable": true, - "_callable_class": true, - "_origin": "ast", - "community": 100, - "community_name": "main", - "file_type": "code", - "norm_label": "classificationerror", - "source_file": "src/models.py", - "source_location": "L155" - }, { "id": "src_models_errorcode", "label": "ErrorCode", "_callable": true, "_callable_class": true, "_origin": "ast", - "community": 100, - "community_name": "main", + "community": 101, + "community_name": "classifier.py", "file_type": "code", "norm_label": "errorcode", "source_file": "src/models.py", "source_location": "L18" }, { - "id": "src_models_ecpsnapshot", - "label": "ECPSnapshot", + "id": "src_models_matchedgraphentity", + "label": "MatchedGraphEntity", "_callable": true, "_callable_class": true, "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "code", - "norm_label": "ecpsnapshot", + "norm_label": "matchedgraphentity", "source_file": "src/models.py", - "source_location": "L58" + "source_location": "L114" }, { "id": "scripts_select_article_extractor_articleselectionresult", @@ -108,17 +95,30 @@ "source_location": "L33" }, { - "id": "src_adapters_llm_llmfallbackadapter", - "label": "LLMFallbackAdapter", + "id": "src_models_classificationerror", + "label": "ClassificationError", + "_callable": true, + "_callable_class": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "classificationerror", + "source_file": "src/models.py", + "source_location": "L155" + }, + { + "id": "src_models_ecpsnapshot", + "label": "ECPSnapshot", "_callable": true, "_callable_class": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", - "norm_label": "llmfallbackadapter", - "source_file": "src/adapters/llm.py", - "source_location": "L42" + "norm_label": "ecpsnapshot", + "source_file": "src/models.py", + "source_location": "L58" }, { "id": "src_classifier_inherenceclassifier", @@ -185,19 +185,6 @@ "source_file": "src/models.py", "source_location": "L122" }, - { - "id": "src_models_matchedgraphentity", - "label": "MatchedGraphEntity", - "_callable": true, - "_callable_class": true, - "_origin": "ast", - "community": 45, - "community_name": "ClassificationResult", - "file_type": "code", - "norm_label": "matchedgraphentity", - "source_file": "src/models.py", - "source_location": "L114" - }, { "id": "src_models_relatedentity", "label": "RelatedEntity", @@ -211,6 +198,19 @@ "source_file": "src/models.py", "source_location": "L27" }, + { + "id": "src_adapters_llm_llmfallbackadapter", + "label": "LLMFallbackAdapter", + "_callable": true, + "_callable_class": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "llmfallbackadapter", + "source_file": "src/adapters/llm.py", + "source_location": "L42" + }, { "id": "scripts_extract_article_contents_articlecrawler", "label": "ArticleCrawler", @@ -380,18 +380,6 @@ "source_file": "scripts/extract_google_news.py", "source_location": "L32" }, - { - "id": "classify_emit_error", - "label": "emit_error()", - "_callable": true, - "_origin": "ast", - "community": 100, - "community_name": "main", - "file_type": "code", - "norm_label": "emit_error()", - "source_file": "classify.py", - "source_location": "L72" - }, { "id": "classify_main", "label": "main()", @@ -405,52 +393,76 @@ "source_location": "L97" }, { - "id": "classify_parse_args", - "label": "parse_args()", + "id": "tests_test_classify_exhaustive_suite_test_cli_error_content_file_does_not_exist", + "label": "test_cli_error_content_file_does_not_exist()", "_callable": true, "_origin": "ast", "community": 100, "community_name": "main", "file_type": "code", - "norm_label": "parse_args()", - "source_file": "classify.py", - "source_location": "L27" + "norm_label": "test_cli_error_content_file_does_not_exist()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L624" }, { - "id": "src_models_classificationerror_to_dict", - "label": ".to_dict()", + "id": "tests_test_classify_exhaustive_suite_test_cli_error_ecp_corrupted_json_syntax", + "label": "test_cli_error_ecp_corrupted_json_syntax()", "_callable": true, "_origin": "ast", "community": 100, "community_name": "main", "file_type": "code", - "norm_label": ".to_dict()", - "source_file": "src/models.py", - "source_location": "L160" + "norm_label": "test_cli_error_ecp_corrupted_json_syntax()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L580" }, { - "id": "src_models_classificationerror_to_json_str", - "label": ".to_json_str()", + "id": "tests_test_classify_exhaustive_suite_test_cli_error_ecp_file_does_not_exist", + "label": "test_cli_error_ecp_file_does_not_exist()", "_callable": true, "_origin": "ast", "community": 100, "community_name": "main", "file_type": "code", - "norm_label": ".to_json_str()", - "source_file": "src/models.py", - "source_location": "L169" + "norm_label": "test_cli_error_ecp_file_does_not_exist()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L567" }, { - "id": "src_models_classificationresult_to_json_str", - "label": ".to_json_str()", + "id": "tests_test_classify_exhaustive_suite_test_cli_error_ecp_missing_each_required_field", + "label": "test_cli_error_ecp_missing_each_required_field()", "_callable": true, "_origin": "ast", "community": 100, "community_name": "main", "file_type": "code", - "norm_label": ".to_json_str()", - "source_file": "src/models.py", - "source_location": "L150" + "norm_label": "test_cli_error_ecp_missing_each_required_field()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L595" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_cli_error_empty_and_whitespace_content", + "label": "test_cli_error_empty_and_whitespace_content()", + "_callable": true, + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "code", + "norm_label": "test_cli_error_empty_and_whitespace_content()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L648" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_cli_output_file_creates_nested_directories", + "label": "test_cli_output_file_creates_nested_directories()", + "_callable": true, + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "code", + "norm_label": "test_cli_output_file_creates_nested_directories()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L676" }, { "id": "tests_test_cli_test_cli_empty_content_file", @@ -513,64 +525,28 @@ "source_location": "L8" }, { - "id": "tests_test_models_test_classification_error_serialization", - "label": "test_classification_error_serialization()", - "_callable": true, - "_origin": "ast", - "community": 100, - "community_name": "main", - "file_type": "code", - "norm_label": "test_classification_error_serialization()", - "source_file": "tests/test_models.py", - "source_location": "L88" - }, - { - "id": "src_models_classificationresult_to_dict", - "label": ".to_dict()", + "id": "classify_emit_error", + "label": "emit_error()", "_callable": true, "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "code", - "norm_label": ".to_dict()", - "source_file": "src/models.py", - "source_location": "L134" + "norm_label": "emit_error()", + "source_file": "classify.py", + "source_location": "L72" }, { - "id": "src_models_ecpsnapshot_from_dict", - "label": ".from_dict()", + "id": "classify_parse_args", + "label": "parse_args()", "_callable": true, "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "code", - "norm_label": ".from_dict()", - "source_file": "src/models.py", - "source_location": "L69" - }, - { - "id": "src_models_ecpsnapshot_from_json_str", - "label": ".from_json_str()", - "_callable": true, - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": ".from_json_str()", - "source_file": "src/models.py", - "source_location": "L105" - }, - { - "id": "src_models_relatedentity_from_dict", - "label": ".from_dict()", - "_callable": true, - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": ".from_dict()", - "source_file": "src/models.py", - "source_location": "L37" + "norm_label": "parse_args()", + "source_file": "classify.py", + "source_location": "L27" }, { "id": "tests_test_benchmark_24_classifier", @@ -578,72 +554,12 @@ "_callable": true, "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "code", "norm_label": "classifier()", "source_file": "tests/test_benchmark_24.py", "source_location": "L23" }, - { - "id": "tests_test_benchmark_24_test_benchmark_case", - "label": "test_benchmark_case()", - "_callable": true, - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": "test_benchmark_case()", - "source_file": "tests/test_benchmark_24.py", - "source_location": "L28" - }, - { - "id": "tests_test_models_test_classification_result_serialization", - "label": "test_classification_result_serialization()", - "_callable": true, - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": "test_classification_result_serialization()", - "source_file": "tests/test_models.py", - "source_location": "L70" - }, - { - "id": "tests_test_models_test_ecp_snapshot_defaults", - "label": "test_ecp_snapshot_defaults()", - "_callable": true, - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": "test_ecp_snapshot_defaults()", - "source_file": "tests/test_models.py", - "source_location": "L45" - }, - { - "id": "tests_test_models_test_ecp_snapshot_missing_required", - "label": "test_ecp_snapshot_missing_required()", - "_callable": true, - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": "test_ecp_snapshot_missing_required()", - "source_file": "tests/test_models.py", - "source_location": "L59" - }, - { - "id": "tests_test_models_test_ecp_snapshot_valid", - "label": "test_ecp_snapshot_valid()", - "_callable": true, - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": "test_ecp_snapshot_valid()", - "source_file": "tests/test_models.py", - "source_location": "L15" - }, { "id": "scripts_select_article_extractor_break_priority_tie", "label": "break_priority_tie()", @@ -981,16 +897,16 @@ "source_location": "L595" }, { - "id": "tests_test_select_article_extractor_test_e2e_cli_subprocess_real_execution", - "label": "test_e2e_cli_subprocess_real_execution()", + "id": "tests_test_select_article_extractor_test_e2e_cli_subprocess_missing_file", + "label": "test_e2e_cli_subprocess_missing_file()", "_callable": true, "_origin": "ast", "community": 120, "community_name": "process_batch", "file_type": "code", - "norm_label": "test_e2e_cli_subprocess_real_execution()", + "norm_label": "test_e2e_cli_subprocess_missing_file()", "source_file": "tests/test_select_article_extractor.py", - "source_location": "L530" + "source_location": "L608" }, { "id": "tests_test_select_article_extractor_test_integration_large_batch_determinism", @@ -1028,13 +944,49 @@ "source_file": "tests/test_select_article_extractor.py", "source_location": "L370" }, + { + "id": "src_classifier_count_phrase_occurrences", + "label": "count_phrase_occurrences()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "count_phrase_occurrences()", + "source_file": "src/classifier.py", + "source_location": "L30" + }, + { + "id": "src_classifier_inherenceclassifier_classify", + "label": ".classify()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": ".classify()", + "source_file": "src/classifier.py", + "source_location": "L65" + }, + { + "id": "src_classifier_match_phrase_in_text", + "label": "match_phrase_in_text()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "match_phrase_in_text()", + "source_file": "src/classifier.py", + "source_location": "L17" + }, { "id": "src_language_detect_language", "label": "detect_language()", "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "detect_language()", "source_file": "src/language.py", @@ -1046,7 +998,7 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "extract_words()", "source_file": "src/language.py", @@ -1058,19 +1010,127 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "normalize_text()", "source_file": "src/language.py", "source_location": "L462" }, + { + "id": "src_models_classificationerror_to_dict", + "label": ".to_dict()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": ".to_dict()", + "source_file": "src/models.py", + "source_location": "L160" + }, + { + "id": "src_models_classificationerror_to_json_str", + "label": ".to_json_str()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": ".to_json_str()", + "source_file": "src/models.py", + "source_location": "L169" + }, + { + "id": "src_models_classificationresult_to_dict", + "label": ".to_dict()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": ".to_dict()", + "source_file": "src/models.py", + "source_location": "L134" + }, + { + "id": "src_models_classificationresult_to_json_str", + "label": ".to_json_str()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": ".to_json_str()", + "source_file": "src/models.py", + "source_location": "L150" + }, + { + "id": "src_models_ecpsnapshot_from_dict", + "label": ".from_dict()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": ".from_dict()", + "source_file": "src/models.py", + "source_location": "L69" + }, + { + "id": "src_models_relatedentity_from_dict", + "label": ".from_dict()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": ".from_dict()", + "source_file": "src/models.py", + "source_location": "L37" + }, + { + "id": "src_parser_extract_evidence_snippets", + "label": "extract_evidence_snippets()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "extract_evidence_snippets()", + "source_file": "src/parser.py", + "source_location": "L50" + }, + { + "id": "src_parser_extract_sentences", + "label": "extract_sentences()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "extract_sentences()", + "source_file": "src/parser.py", + "source_location": "L42" + }, + { + "id": "src_parser_strip_markdown", + "label": "strip_markdown()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "strip_markdown()", + "source_file": "src/parser.py", + "source_location": "L8" + }, { "id": "tests_test_language_test_detect_english", "label": "test_detect_english()", "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_detect_english()", "source_file": "tests/test_language.py", @@ -1082,7 +1142,7 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_detect_french()", "source_file": "tests/test_language.py", @@ -1094,7 +1154,7 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_detect_german()", "source_file": "tests/test_language.py", @@ -1106,7 +1166,7 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_detect_italian()", "source_file": "tests/test_language.py", @@ -1118,7 +1178,7 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_detect_portuguese()", "source_file": "tests/test_language.py", @@ -1130,7 +1190,7 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_detect_spanish()", "source_file": "tests/test_language.py", @@ -1142,7 +1202,7 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_empty_language()", "source_file": "tests/test_language.py", @@ -1154,12 +1214,84 @@ "_callable": true, "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_normalize_text()", "source_file": "tests/test_language.py", "source_location": "L6" }, + { + "id": "tests_test_models_test_classification_error_serialization", + "label": "test_classification_error_serialization()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "test_classification_error_serialization()", + "source_file": "tests/test_models.py", + "source_location": "L88" + }, + { + "id": "tests_test_models_test_ecp_snapshot_defaults", + "label": "test_ecp_snapshot_defaults()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "test_ecp_snapshot_defaults()", + "source_file": "tests/test_models.py", + "source_location": "L45" + }, + { + "id": "tests_test_models_test_ecp_snapshot_missing_required", + "label": "test_ecp_snapshot_missing_required()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "test_ecp_snapshot_missing_required()", + "source_file": "tests/test_models.py", + "source_location": "L59" + }, + { + "id": "tests_test_models_test_ecp_snapshot_valid", + "label": "test_ecp_snapshot_valid()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "test_ecp_snapshot_valid()", + "source_file": "tests/test_models.py", + "source_location": "L15" + }, + { + "id": "tests_test_models_test_extract_evidence_snippets", + "label": "test_extract_evidence_snippets()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "test_extract_evidence_snippets()", + "source_file": "tests/test_models.py", + "source_location": "L110" + }, + { + "id": "tests_test_models_test_parser_strip_markdown", + "label": "test_parser_strip_markdown()", + "_callable": true, + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "test_parser_strip_markdown()", + "source_file": "tests/test_models.py", + "source_location": "L100" + }, { "id": "scripts_select_article_extractor_generate_shingles", "label": "generate_shingles()", @@ -1185,16 +1317,16 @@ "source_location": "L106" }, { - "id": "tests_test_select_article_extractor_test_e2e_cli_subprocess_missing_file", - "label": "test_e2e_cli_subprocess_missing_file()", + "id": "tests_test_select_article_extractor_test_e2e_cli_subprocess_real_execution", + "label": "test_e2e_cli_subprocess_real_execution()", "_callable": true, "_origin": "ast", "community": 122, "community_name": "test_select_article_extractor.py", "file_type": "code", - "norm_label": "test_e2e_cli_subprocess_missing_file()", + "norm_label": "test_e2e_cli_subprocess_real_execution()", "source_file": "tests/test_select_article_extractor.py", - "source_location": "L608" + "source_location": "L530" }, { "id": "tests_test_select_article_extractor_test_generate_shingles_empty", @@ -1557,100 +1689,76 @@ "source_location": "L755" }, { - "id": "tests_test_extract_google_news_sample_rss_xml", - "label": "sample_rss_xml()", + "id": "scripts_extract_google_news_get_hl_gl_ceid", + "label": "get_hl_gl_ceid()", "_callable": true, "_origin": "ast", "community": 149, - "community_name": "sample_rss_xml", + "community_name": "get_hl_gl_ceid", "file_type": "code", - "norm_label": "sample_rss_xml()", + "norm_label": "get_hl_gl_ceid()", + "source_file": "scripts/extract_google_news.py", + "source_location": "L107" + }, + { + "id": "tests_test_extract_google_news_test_get_hl_gl_ceid_default_mappings", + "label": "test_get_hl_gl_ceid_default_mappings()", + "_callable": true, + "_origin": "ast", + "community": 149, + "community_name": "get_hl_gl_ceid", + "file_type": "code", + "norm_label": "test_get_hl_gl_ceid_default_mappings()", "source_file": "tests/test_extract_google_news.py", - "source_location": "L32" + "source_location": "L37" }, { - "id": "src_adapters_llm_llmfallbackadapter_build_prompt", - "label": ".build_prompt()", + "id": "tests_test_extract_google_news_test_get_hl_gl_ceid_dynamic_fallback", + "label": "test_get_hl_gl_ceid_dynamic_fallback()", "_callable": true, "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", + "community": 149, + "community_name": "get_hl_gl_ceid", "file_type": "code", - "norm_label": ".build_prompt()", - "source_file": "src/adapters/llm.py", - "source_location": "L63" + "norm_label": "test_get_hl_gl_ceid_dynamic_fallback()", + "source_file": "tests/test_extract_google_news.py", + "source_location": "L78" }, { - "id": "src_adapters_llm_llmfallbackadapter_disambiguate", - "label": ".disambiguate()", + "id": "tests_test_extract_google_news_test_get_hl_gl_ceid_with_custom_locale", + "label": "test_get_hl_gl_ceid_with_custom_locale()", "_callable": true, "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", + "community": 149, + "community_name": "get_hl_gl_ceid", "file_type": "code", - "norm_label": ".disambiguate()", - "source_file": "src/adapters/llm.py", - "source_location": "L149" - }, - { - "id": "src_adapters_llm_llmfallbackadapter_evaluate_similarity", - "label": ".evaluate_similarity()", - "_callable": true, - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "code", - "norm_label": ".evaluate_similarity()", - "source_file": "src/adapters/llm.py", + "norm_label": "test_get_hl_gl_ceid_with_custom_locale()", + "source_file": "tests/test_extract_google_news.py", "source_location": "L60" }, { - "id": "src_adapters_llm_llmfallbackadapter_init", - "label": ".__init__()", + "id": "src_models_ecpsnapshot_from_json_str", + "label": ".from_json_str()", "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", - "norm_label": ".__init__()", - "source_file": "src/adapters/llm.py", - "source_location": "L45" + "norm_label": ".from_json_str()", + "source_file": "src/models.py", + "source_location": "L105" }, { - "id": "src_adapters_llm_llmfallbackadapter_is_available", - "label": ".is_available()", + "id": "tests_test_benchmark_24_test_benchmark_case", + "label": "test_benchmark_case()", "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", - "norm_label": ".is_available()", - "source_file": "src/adapters/llm.py", - "source_location": "L56" - }, - { - "id": "src_adapters_llm_llmfallbackadapter_parse_llm_response", - "label": "._parse_llm_response()", - "_callable": true, - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "code", - "norm_label": "._parse_llm_response()", - "source_file": "src/adapters/llm.py", - "source_location": "L214" - }, - { - "id": "src_classifier_inherenceclassifier_init", - "label": ".__init__()", - "_callable": true, - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "code", - "norm_label": ".__init__()", - "source_file": "src/classifier.py", - "source_location": "L44" + "norm_label": "test_benchmark_case()", + "source_file": "tests/test_benchmark_24.py", + "source_location": "L28" }, { "id": "tests_test_llm_fallback_test_classifier_graceful_degradation_when_llm_raises_exception", @@ -1658,7 +1766,7 @@ "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_classifier_graceful_degradation_when_llm_raises_exception()", "source_file": "tests/test_llm_fallback.py", @@ -1670,7 +1778,7 @@ "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_classifier_skips_tier3_on_clear_direct_inherent_case()", "source_file": "tests/test_llm_fallback.py", @@ -1682,7 +1790,7 @@ "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_classifier_triggers_tier3_on_ambiguous_tangential_case()", "source_file": "tests/test_llm_fallback.py", @@ -1694,31 +1802,19 @@ "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_cli_execution_with_enable_llm_flag()", "source_file": "tests/test_llm_fallback.py", "source_location": "L291" }, - { - "id": "tests_test_llm_fallback_test_llm_adapter_availability_detection", - "label": "test_llm_adapter_availability_detection()", - "_callable": true, - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "code", - "norm_label": "test_llm_adapter_availability_detection()", - "source_file": "tests/test_llm_fallback.py", - "source_location": "L31" - }, { "id": "tests_test_llm_fallback_test_llm_adapter_build_prompt_structure", "label": "test_llm_adapter_build_prompt_structure()", "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_llm_adapter_build_prompt_structure()", "source_file": "tests/test_llm_fallback.py", @@ -1730,7 +1826,7 @@ "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_llm_adapter_handling_invalid_and_corrupt_responses()", "source_file": "tests/test_llm_fallback.py", @@ -1742,7 +1838,7 @@ "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_llm_adapter_parsing_json_wrapped_in_markdown_codeblock()", "source_file": "tests/test_llm_fallback.py", @@ -1754,7 +1850,7 @@ "_callable": true, "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_llm_adapter_parsing_valid_json_response()", "source_file": "tests/test_llm_fallback.py", @@ -1869,16 +1965,16 @@ "source_location": "L91" }, { - "id": "tests_test_adversarial_test_adversarial_sao_paulo_city_vs_fc", - "label": "test_adversarial_sao_paulo_city_vs_fc()", + "id": "tests_test_adversarial_test_adversarial_apple_fruit_recipe", + "label": "test_adversarial_apple_fruit_recipe()", "_callable": true, "_origin": "ast", "community": 165, "community_name": "InherenceClassifier", "file_type": "code", - "norm_label": "test_adversarial_sao_paulo_city_vs_fc()", + "norm_label": "test_adversarial_apple_fruit_recipe()", "source_file": "tests/test_adversarial.py", - "source_location": "L14" + "source_location": "L44" }, { "id": "tests_test_classifier_test_contextual_inherent", @@ -1941,28 +2037,124 @@ "source_location": "L64" }, { - "id": "tests_test_e2e_text_analysis_pipeline_test_funnel_cli_subprocess_end_to_end", - "label": "test_funnel_cli_subprocess_end_to_end()", + "id": "tests_test_classify_exhaustive_suite_test_borderline_tangential_graph_entity_in_isolation", + "label": "test_borderline_tangential_graph_entity_in_isolation()", "_callable": true, "_origin": "ast", "community": 165, "community_name": "InherenceClassifier", "file_type": "code", - "norm_label": "test_funnel_cli_subprocess_end_to_end()", - "source_file": "tests/test_e2e_text_analysis_pipeline.py", - "source_location": "L293" + "norm_label": "test_borderline_tangential_graph_entity_in_isolation()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L221" }, { - "id": "tests_test_e2e_text_analysis_pipeline_test_funnel_live_api_execution_if_configured", - "label": "test_funnel_live_api_execution_if_configured()", + "id": "tests_test_classify_exhaustive_suite_test_borderline_tangential_single_passing_mention", + "label": "test_borderline_tangential_single_passing_mention()", "_callable": true, "_origin": "ast", "community": 165, "community_name": "InherenceClassifier", "file_type": "code", - "norm_label": "test_funnel_live_api_execution_if_configured()", - "source_file": "tests/test_e2e_text_analysis_pipeline.py", - "source_location": "L347" + "norm_label": "test_borderline_tangential_single_passing_mention()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L210" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_happy_path_contextual_inherent_via_executive_graph_entity", + "label": "test_happy_path_contextual_inherent_via_executive_graph_entity()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_happy_path_contextual_inherent_via_executive_graph_entity()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L134" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_happy_path_contextual_inherent_via_subsidiary_graph_entity", + "label": "test_happy_path_contextual_inherent_via_subsidiary_graph_entity()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_happy_path_contextual_inherent_via_subsidiary_graph_entity()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L119" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_happy_path_direct_inherent_by_repetition_without_heavy_anchors", + "label": "test_happy_path_direct_inherent_by_repetition_without_heavy_anchors()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_happy_path_direct_inherent_by_repetition_without_heavy_anchors()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L105" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_happy_path_direct_inherent_via_alias_and_acronym", + "label": "test_happy_path_direct_inherent_via_alias_and_acronym()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_happy_path_direct_inherent_via_alias_and_acronym()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L92" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_sad_path_not_related_completely_off_topic", + "label": "test_sad_path_not_related_completely_off_topic()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_sad_path_not_related_completely_off_topic()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L152" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_sad_path_not_related_generic_domain_without_target_or_graph", + "label": "test_sad_path_not_related_generic_domain_without_target_or_graph()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_sad_path_not_related_generic_domain_without_target_or_graph()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L167" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_sad_path_not_related_negative_anchor_dominance", + "label": "test_sad_path_not_related_negative_anchor_dominance()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_sad_path_not_related_negative_anchor_dominance()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L183" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_sad_path_not_related_negative_anchor_ties_with_positive_anchor", + "label": "test_sad_path_not_related_negative_anchor_ties_with_positive_anchor()", + "_callable": true, + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "code", + "norm_label": "test_sad_path_not_related_negative_anchor_ties_with_positive_anchor()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L196" }, { "id": "tests_test_e2e_text_analysis_pipeline_test_funnel_llm_failure_graceful_degradation", @@ -2072,6 +2264,66 @@ "source_file": "tests/test_convert_article_to_markdown.py", "source_location": "L54" }, + { + "id": "src_adapters_llm_llmfallbackadapter_build_prompt", + "label": ".build_prompt()", + "_callable": true, + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "code", + "norm_label": ".build_prompt()", + "source_file": "src/adapters/llm.py", + "source_location": "L63" + }, + { + "id": "src_adapters_llm_llmfallbackadapter_disambiguate", + "label": ".disambiguate()", + "_callable": true, + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "code", + "norm_label": ".disambiguate()", + "source_file": "src/adapters/llm.py", + "source_location": "L149" + }, + { + "id": "src_adapters_llm_llmfallbackadapter_is_available", + "label": ".is_available()", + "_callable": true, + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "code", + "norm_label": ".is_available()", + "source_file": "src/adapters/llm.py", + "source_location": "L56" + }, + { + "id": "src_adapters_llm_llmfallbackadapter_parse_llm_response", + "label": "._parse_llm_response()", + "_callable": true, + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "code", + "norm_label": "._parse_llm_response()", + "source_file": "src/adapters/llm.py", + "source_location": "L214" + }, + { + "id": "tests_test_e2e_text_analysis_pipeline_test_funnel_cli_subprocess_end_to_end", + "label": "test_funnel_cli_subprocess_end_to_end()", + "_callable": true, + "_origin": "ast", + "community": 169, + "community_name": "test_funnel_cli_subprocess_end_to_end", + "file_type": "code", + "norm_label": "test_funnel_cli_subprocess_end_to_end()", + "source_file": "tests/test_e2e_text_analysis_pipeline.py", + "source_location": "L293" + }, { "id": "scripts_extract_google_news_build_parser", "label": "build_parser()", @@ -2289,16 +2541,16 @@ "source_location": "L15" }, { - "id": "tests_test_adversarial_test_adversarial_apple_fruit_recipe", - "label": "test_adversarial_apple_fruit_recipe()", + "id": "tests_test_models_test_classification_result_serialization", + "label": "test_classification_result_serialization()", "_callable": true, "_origin": "ast", - "community": 46, - "community_name": "test_adversarial.py", + "community": 45, + "community_name": "ClassificationResult", "file_type": "code", - "norm_label": "test_adversarial_apple_fruit_recipe()", - "source_file": "tests/test_adversarial.py", - "source_location": "L44" + "norm_label": "test_classification_result_serialization()", + "source_file": "tests/test_models.py", + "source_location": "L70" }, { "id": "tests_test_adversarial_test_adversarial_related_entity_without_scope_context", @@ -2312,6 +2564,18 @@ "source_file": "tests/test_adversarial.py", "source_location": "L68" }, + { + "id": "tests_test_adversarial_test_adversarial_sao_paulo_city_vs_fc", + "label": "test_adversarial_sao_paulo_city_vs_fc()", + "_callable": true, + "_origin": "ast", + "community": 46, + "community_name": "test_adversarial.py", + "file_type": "code", + "norm_label": "test_adversarial_sao_paulo_city_vs_fc()", + "source_file": "tests/test_adversarial.py", + "source_location": "L14" + }, { "id": "tests_test_adversarial_test_adversarial_subprocess_cli_corrupted_json", "label": "test_adversarial_subprocess_cli_corrupted_json()", @@ -2372,6 +2636,18 @@ "source_file": "tests/test_classifier.py", "source_location": "L10" }, + { + "id": "tests_test_classify_exhaustive_suite_ecp_tech_corp", + "label": "ecp_tech_corp()", + "_callable": true, + "_origin": "ast", + "community": 46, + "community_name": "test_adversarial.py", + "file_type": "code", + "norm_label": "ecp_tech_corp()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L36" + }, { "id": "tests_test_e2e_text_analysis_pipeline_ecp_river_plate", "label": "ecp_river_plate()", @@ -2385,100 +2661,268 @@ "source_location": "L42" }, { - "id": "src_classifier_count_phrase_occurrences", - "label": "count_phrase_occurrences()", + "id": "src_adapters_llm_llmfallbackadapter_evaluate_similarity", + "label": ".evaluate_similarity()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "count_phrase_occurrences()", + "norm_label": ".evaluate_similarity()", + "source_file": "src/adapters/llm.py", + "source_location": "L60" + }, + { + "id": "src_adapters_llm_llmfallbackadapter_init", + "label": ".__init__()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": ".__init__()", + "source_file": "src/adapters/llm.py", + "source_location": "L45" + }, + { + "id": "src_classifier_inherenceclassifier_init", + "label": ".__init__()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": ".__init__()", "source_file": "src/classifier.py", - "source_location": "L30" + "source_location": "L44" }, { - "id": "src_classifier_inherenceclassifier_classify", - "label": ".classify()", + "id": "tests_test_classify_exhaustive_suite_test_happy_path_direct_inherent_with_canonical_and_anchors", + "label": "test_happy_path_direct_inherent_with_canonical_and_anchors()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": ".classify()", - "source_file": "src/classifier.py", - "source_location": "L65" + "norm_label": "test_happy_path_direct_inherent_with_canonical_and_anchors()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L76" }, { - "id": "src_classifier_match_phrase_in_text", - "label": "match_phrase_in_text()", + "id": "tests_test_classify_exhaustive_suite_test_llm_happy_path_confirmation_of_tangential", + "label": "test_llm_happy_path_confirmation_of_tangential()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "match_phrase_in_text()", - "source_file": "src/classifier.py", - "source_location": "L17" + "norm_label": "test_llm_happy_path_confirmation_of_tangential()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L280" }, { - "id": "src_parser_extract_evidence_snippets", - "label": "extract_evidence_snippets()", + "id": "tests_test_classify_exhaustive_suite_test_llm_happy_path_rejection_to_not_related", + "label": "test_llm_happy_path_rejection_to_not_related()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "extract_evidence_snippets()", - "source_file": "src/parser.py", - "source_location": "L50" + "norm_label": "test_llm_happy_path_rejection_to_not_related()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L301" }, { - "id": "src_parser_extract_sentences", - "label": "extract_sentences()", + "id": "tests_test_classify_exhaustive_suite_test_llm_happy_path_upgrade_tangential_to_contextual_inherent", + "label": "test_llm_happy_path_upgrade_tangential_to_contextual_inherent()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "extract_sentences()", - "source_file": "src/parser.py", - "source_location": "L42" + "norm_label": "test_llm_happy_path_upgrade_tangential_to_contextual_inherent()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L259" }, { - "id": "src_parser_strip_markdown", - "label": "strip_markdown()", + "id": "tests_test_classify_exhaustive_suite_test_llm_happy_path_upgrade_tangential_to_direct_inherent", + "label": "test_llm_happy_path_upgrade_tangential_to_direct_inherent()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "strip_markdown()", - "source_file": "src/parser.py", - "source_location": "L8" + "norm_label": "test_llm_happy_path_upgrade_tangential_to_direct_inherent()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L236" }, { - "id": "tests_test_models_test_extract_evidence_snippets", - "label": "test_extract_evidence_snippets()", + "id": "tests_test_classify_exhaustive_suite_test_llm_optimization_clear_case_bypasses_llm", + "label": "test_llm_optimization_clear_case_bypasses_llm()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "test_extract_evidence_snippets()", - "source_file": "tests/test_models.py", - "source_location": "L110" + "norm_label": "test_llm_optimization_clear_case_bypasses_llm()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L453" }, { - "id": "tests_test_models_test_parser_strip_markdown", - "label": "test_parser_strip_markdown()", + "id": "tests_test_classify_exhaustive_suite_test_llm_provider_gemini_rest_execution", + "label": "test_llm_provider_gemini_rest_execution()", "_callable": true, "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "test_parser_strip_markdown()", - "source_file": "tests/test_models.py", - "source_location": "L100" + "norm_label": "test_llm_provider_gemini_rest_execution()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L515" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_provider_openai_client_execution", + "label": "test_llm_provider_openai_client_execution()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_provider_openai_client_execution()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L479" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_resilience_confidence_clipping", + "label": "test_llm_resilience_confidence_clipping()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_resilience_confidence_clipping()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L431" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_sad_path_flag_enabled_without_api_key_or_provider", + "label": "test_llm_sad_path_flag_enabled_without_api_key_or_provider()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_sad_path_flag_enabled_without_api_key_or_provider()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L340" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_sad_path_http_500_server_error_graceful_degradation", + "label": "test_llm_sad_path_http_500_server_error_graceful_degradation()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_sad_path_http_500_server_error_graceful_degradation()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L369" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_sad_path_llm_disabled_by_default_never_invokes_adapter", + "label": "test_llm_sad_path_llm_disabled_by_default_never_invokes_adapter()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_sad_path_llm_disabled_by_default_never_invokes_adapter()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L322" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_sad_path_malformed_json_and_non_json_strings", + "label": "test_llm_sad_path_malformed_json_and_non_json_strings()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_sad_path_malformed_json_and_non_json_strings()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L385" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_sad_path_missing_decision_key_in_json", + "label": "test_llm_sad_path_missing_decision_key_in_json()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_sad_path_missing_decision_key_in_json()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L407" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_sad_path_network_timeout_graceful_degradation", + "label": "test_llm_sad_path_network_timeout_graceful_degradation()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_sad_path_network_timeout_graceful_degradation()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L353" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_llm_sad_path_unknown_hallucinated_decision_enum", + "label": "test_llm_sad_path_unknown_hallucinated_decision_enum()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_sad_path_unknown_hallucinated_decision_enum()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L419" + }, + { + "id": "tests_test_classify_exhaustive_suite_test_multilingual_matrix_6_languages", + "label": "test_multilingual_matrix_6_languages()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_multilingual_matrix_6_languages()", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L782" + }, + { + "id": "tests_test_e2e_text_analysis_pipeline_test_funnel_live_api_execution_if_configured", + "label": "test_funnel_live_api_execution_if_configured()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_funnel_live_api_execution_if_configured()", + "source_file": "tests/test_e2e_text_analysis_pipeline.py", + "source_location": "L347" + }, + { + "id": "tests_test_llm_fallback_test_llm_adapter_availability_detection", + "label": "test_llm_adapter_availability_detection()", + "_callable": true, + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "test_llm_adapter_availability_detection()", + "source_file": "tests/test_llm_fallback.py", + "source_location": "L31" }, { "id": "tests_test_convert_article_to_markdown_test_cli_default_output_naming", @@ -3104,18 +3548,6 @@ "source_file": "scripts/extract_google_news.py", "source_location": "L253" }, - { - "id": "scripts_extract_google_news_get_hl_gl_ceid", - "label": "get_hl_gl_ceid()", - "_callable": true, - "_origin": "ast", - "community": 82, - "community_name": "extract_google_news.py", - "file_type": "code", - "norm_label": "get_hl_gl_ceid()", - "source_file": "scripts/extract_google_news.py", - "source_location": "L107" - }, { "id": "scripts_extract_google_news_normalize_text_for_comparison", "label": "_normalize_text_for_comparison()", @@ -3152,18 +3584,6 @@ "source_file": "scripts/extract_google_news.py", "source_location": "L220" }, - { - "id": "tests_test_extract_google_news_test_parse_google_news_rss_with_fixture", - "label": "test_parse_google_news_rss_with_fixture()", - "_callable": true, - "_origin": "ast", - "community": 82, - "community_name": "extract_google_news.py", - "file_type": "code", - "norm_label": "test_parse_google_news_rss_with_fixture()", - "source_file": "tests/test_extract_google_news.py", - "source_location": "L111" - }, { "id": "tests_test_extract_google_news_test_resolve_articles_urls_batch", "label": "test_resolve_articles_urls_batch()", @@ -3201,16 +3621,16 @@ "source_location": "L73" }, { - "id": "tests_test_extract_google_news_test_e2e_extract_google_news_live_pipeline", - "label": "test_e2e_extract_google_news_live_pipeline()", + "id": "tests_test_extract_google_news_test_extract_google_news_orchestration_mocked", + "label": "test_extract_google_news_orchestration_mocked()", "_callable": true, "_origin": "ast", "community": 83, "community_name": "ExtractionResult", "file_type": "code", - "norm_label": "test_e2e_extract_google_news_live_pipeline()", + "norm_label": "test_extract_google_news_orchestration_mocked()", "source_file": "tests/test_extract_google_news.py", - "source_location": "L302" + "source_location": "L186" }, { "id": "scripts_extract_google_news_resolve_article_url", @@ -3224,6 +3644,18 @@ "source_file": "scripts/extract_google_news.py", "source_location": "L207" }, + { + "id": "tests_test_extract_google_news_sample_rss_xml", + "label": "sample_rss_xml()", + "_callable": true, + "_origin": "ast", + "community": 84, + "community_name": "test_extract_google_news.py", + "file_type": "code", + "norm_label": "sample_rss_xml()", + "source_file": "tests/test_extract_google_news.py", + "source_location": "L32" + }, { "id": "tests_test_extract_google_news_test_e2e_resolve_real_google_news_url", "label": "test_e2e_resolve_real_google_news_url()", @@ -3237,40 +3669,16 @@ "source_location": "L281" }, { - "id": "tests_test_extract_google_news_test_get_hl_gl_ceid_default_mappings", - "label": "test_get_hl_gl_ceid_default_mappings()", + "id": "tests_test_extract_google_news_test_parse_google_news_rss_with_fixture", + "label": "test_parse_google_news_rss_with_fixture()", "_callable": true, "_origin": "ast", "community": 84, "community_name": "test_extract_google_news.py", "file_type": "code", - "norm_label": "test_get_hl_gl_ceid_default_mappings()", + "norm_label": "test_parse_google_news_rss_with_fixture()", "source_file": "tests/test_extract_google_news.py", - "source_location": "L37" - }, - { - "id": "tests_test_extract_google_news_test_get_hl_gl_ceid_dynamic_fallback", - "label": "test_get_hl_gl_ceid_dynamic_fallback()", - "_callable": true, - "_origin": "ast", - "community": 84, - "community_name": "test_extract_google_news.py", - "file_type": "code", - "norm_label": "test_get_hl_gl_ceid_dynamic_fallback()", - "source_file": "tests/test_extract_google_news.py", - "source_location": "L78" - }, - { - "id": "tests_test_extract_google_news_test_get_hl_gl_ceid_with_custom_locale", - "label": "test_get_hl_gl_ceid_with_custom_locale()", - "_callable": true, - "_origin": "ast", - "community": 84, - "community_name": "test_extract_google_news.py", - "file_type": "code", - "norm_label": "test_get_hl_gl_ceid_with_custom_locale()", - "source_file": "tests/test_extract_google_news.py", - "source_location": "L60" + "source_location": "L111" }, { "id": "tests_test_extract_google_news_test_resolve_article_url_fallback", @@ -3345,16 +3753,16 @@ "source_location": "L40" }, { - "id": "tests_test_extract_google_news_test_extract_google_news_orchestration_mocked", - "label": "test_extract_google_news_orchestration_mocked()", + "id": "tests_test_extract_google_news_test_e2e_extract_google_news_live_pipeline", + "label": "test_e2e_extract_google_news_live_pipeline()", "_callable": true, "_origin": "ast", "community": 90, "community_name": "SearchQuery", "file_type": "code", - "norm_label": "test_extract_google_news_orchestration_mocked()", + "norm_label": "test_e2e_extract_google_news_live_pipeline()", "source_file": "tests/test_extract_google_news.py", - "source_location": "L186" + "source_location": "L302" }, { "id": "tests_test_extract_google_news_test_search_query_validation", @@ -4078,46 +4486,13 @@ "source_location": "L11" }, { - "id": "classify", - "label": "classify.py", + "id": "tests_test_classify_exhaustive_suite_py_path", + "label": "Path", "_origin": "ast", "community": 100, "community_name": "main", "file_type": "code", - "norm_label": "classify.py", - "source_file": "classify.py", - "source_location": "L1" - }, - { - "id": "classify_py_namespace", - "label": "Namespace", - "_origin": "ast", - "community": 100, - "community_name": "main", - "file_type": "code", - "norm_label": "namespace", - "source_file": "", - "source_location": "" - }, - { - "id": "src_models_py_enum", - "label": "Enum", - "_origin": "ast", - "community": 100, - "community_name": "main", - "file_type": "code", - "norm_label": "enum", - "source_file": "", - "source_location": "" - }, - { - "id": "src_models_py_str", - "label": "str", - "_origin": "ast", - "community": 100, - "community_name": "main", - "file_type": "code", - "norm_label": "str", + "norm_label": "path", "source_file": "", "source_location": "" }, @@ -4132,6 +4507,72 @@ "source_file": "tests/test_cli.py", "source_location": "L1" }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_568", + "label": "Cen\u00e1rio 6.1: Caminho de ECP inexistente -> Exit Code 1, error_code:\u2026", + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "rationale", + "norm_label": "cenario 6.1: caminho de ecp inexistente -> exit code 1, error_code:...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L568" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_581", + "label": "Cen\u00e1rio 6.2: Arquivo ECP com sintaxe JSON corrompida.", + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "rationale", + "norm_label": "cenario 6.2: arquivo ecp com sintaxe json corrompida.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L581" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_596", + "label": "Cen\u00e1rio 6.3: Valida erro para falta de cada um dos campos obrigat\u00f3rios do ECP.", + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "rationale", + "norm_label": "cenario 6.3: valida erro para falta de cada um dos campos obrigatorios do ecp.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L596" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_625", + "label": "Cen\u00e1rio 6.4: Caminho de arquivo Markdown inexistente.", + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "rationale", + "norm_label": "cenario 6.4: caminho de arquivo markdown inexistente.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L625" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_649", + "label": "Cen\u00e1rio 6.5: Arquivo Markdown vazio ou contendo apenas espa\u00e7os em branco.", + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "rationale", + "norm_label": "cenario 6.5: arquivo markdown vazio ou contendo apenas espacos em branco.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L649" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_677", + "label": "Cen\u00e1rio 6.6: A flag -o / --output cria diret\u00f3rios aninhados automaticamente.", + "_origin": "ast", + "community": 100, + "community_name": "main", + "file_type": "rationale", + "norm_label": "cenario 6.6: a flag -o / --output cria diretorios aninhados automaticamente.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L677" + }, { "id": "tests_test_cli_rationale_1", "label": "CLI execution tests covering flags, arguments, stdout, and error handling.", @@ -4144,13 +4585,68 @@ "source_location": "L1" }, { - "id": "src_models_py_any", - "label": "Any", + "id": "classify", + "label": "classify.py", "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "code", - "norm_label": "any", + "norm_label": "classify.py", + "source_file": "classify.py", + "source_location": "L1" + }, + { + "id": "classify_py_namespace", + "label": "Namespace", + "_origin": "ast", + "community": 101, + "community_name": "classifier.py", + "file_type": "code", + "norm_label": "namespace", + "source_file": "", + "source_location": "" + }, + { + "id": "src_classifier", + "label": "classifier.py", + "_origin": "ast", + "community": 101, + "community_name": "classifier.py", + "file_type": "code", + "norm_label": "classifier.py", + "source_file": "src/classifier.py", + "source_location": "L1" + }, + { + "id": "src_models", + "label": "models.py", + "_origin": "ast", + "community": 101, + "community_name": "classifier.py", + "file_type": "code", + "norm_label": "models.py", + "source_file": "src/models.py", + "source_location": "L1" + }, + { + "id": "src_models_py_enum", + "label": "Enum", + "_origin": "ast", + "community": 101, + "community_name": "classifier.py", + "file_type": "code", + "norm_label": "enum", + "source_file": "", + "source_location": "" + }, + { + "id": "src_models_py_str", + "label": "str", + "_origin": "ast", + "community": 101, + "community_name": "classifier.py", + "file_type": "code", + "norm_label": "str", "source_file": "", "source_location": "" }, @@ -4159,7 +4655,7 @@ "label": "test_benchmark_24.py", "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "code", "norm_label": "test_benchmark_24.py", "source_file": "tests/test_benchmark_24.py", @@ -4170,32 +4666,32 @@ "label": "fixture", "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "code", "norm_label": "fixture", "source_file": "", "source_location": "" }, { - "id": "tests_test_benchmark_24_py_parametrize", - "label": "parametrize", + "id": "src_classifier_rationale_1", + "label": "Core deterministic classification engine (Tier 1 core).", "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": "parametrize", - "source_file": "", - "source_location": "" + "community_name": "classifier.py", + "file_type": "rationale", + "norm_label": "core deterministic classification engine (tier 1 core).", + "source_file": "src/classifier.py", + "source_location": "L1" }, { - "id": "tests_test_models", - "label": "test_models.py", + "id": "src_models_rationale_1", + "label": "Data models and validation schemas for Multilingual NLP Entity Inherence\u2026", "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", - "file_type": "code", - "norm_label": "test_models.py", - "source_file": "tests/test_models.py", + "community_name": "classifier.py", + "file_type": "rationale", + "norm_label": "data models and validation schemas for multilingual nlp entity inherence...", + "source_file": "src/models.py", "source_location": "L1" }, { @@ -4203,23 +4699,12 @@ "label": "Controlled 24-case benchmark suite for Multilingual NLP Entity Inherence\u2026", "_origin": "ast", "community": 101, - "community_name": "ECPSnapshot", + "community_name": "classifier.py", "file_type": "rationale", "norm_label": "controlled 24-case benchmark suite for multilingual nlp entity inherence...", "source_file": "tests/test_benchmark_24.py", "source_location": "L1" }, - { - "id": "tests_test_models_rationale_1", - "label": "Unit tests for ECP models, schema validation, and structured error handling.", - "_origin": "ast", - "community": 101, - "community_name": "ECPSnapshot", - "file_type": "rationale", - "norm_label": "unit tests for ecp models, schema validation, and structured error handling.", - "source_file": "tests/test_models.py", - "source_location": "L1" - }, { "id": "specs_001_multilingual_entity_classifier_spec_assumptions", "label": "Assumptions", @@ -7361,17 +7846,6 @@ "source_file": "tests/test_select_article_extractor.py", "source_location": "L494" }, - { - "id": "tests_test_select_article_extractor_rationale_531", - "label": "E2E: Executa scripts/select_article_extractor.py como subprocesso real na linha\u2026", - "_origin": "ast", - "community": 120, - "community_name": "process_batch", - "file_type": "rationale", - "norm_label": "e2e: executa scripts/select_article_extractor.py como subprocesso real na linha...", - "source_file": "tests/test_select_article_extractor.py", - "source_location": "L531" - }, { "id": "tests_test_select_article_extractor_rationale_568", "label": "E2E: Executa CLI sem a flag -o e valida cria\u00e7\u00e3o autom\u00e1tica de\u2026", @@ -7394,34 +7868,111 @@ "source_file": "tests/test_select_article_extractor.py", "source_location": "L596" }, + { + "id": "tests_test_select_article_extractor_rationale_609", + "label": "E2E: Executa CLI com arquivo inexistente e valida c\u00f3digo 1 e mensagem no stderr.", + "_origin": "ast", + "community": 120, + "community_name": "process_batch", + "file_type": "rationale", + "norm_label": "e2e: executa cli com arquivo inexistente e valida codigo 1 e mensagem no stderr.", + "source_file": "tests/test_select_article_extractor.py", + "source_location": "L609" + }, { "id": "src_language", "label": "language.py", "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "language.py", "source_file": "src/language.py", "source_location": "L1" }, + { + "id": "src_models_py_any", + "label": "Any", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "any", + "source_file": "", + "source_location": "" + }, + { + "id": "src_parser", + "label": "parser.py", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "parser.py", + "source_file": "src/parser.py", + "source_location": "L1" + }, { "id": "tests_test_language", "label": "test_language.py", "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "code", "norm_label": "test_language.py", "source_file": "tests/test_language.py", "source_location": "L1" }, + { + "id": "tests_test_models", + "label": "test_models.py", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "code", + "norm_label": "test_models.py", + "source_file": "tests/test_models.py", + "source_location": "L1" + }, + { + "id": "src_classifier_rationale_18", + "label": "Check if a normalized phrase appears in normalized text with word boundary\u2026", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "check if a normalized phrase appears in normalized text with word boundary...", + "source_file": "src/classifier.py", + "source_location": "L18" + }, + { + "id": "src_classifier_rationale_31", + "label": "Count occurrences of a phrase in text.", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "count occurrences of a phrase in text.", + "source_file": "src/classifier.py", + "source_location": "L31" + }, + { + "id": "src_classifier_rationale_66", + "label": "Classify inherence of content against an ECP snapshot.", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "classify inherence of content against an ecp snapshot.", + "source_file": "src/classifier.py", + "source_location": "L66" + }, { "id": "src_language_rationale_1", "label": "Lightweight multilingual language detection and text normalization.", "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "rationale", "norm_label": "lightweight multilingual language detection and text normalization.", "source_file": "src/language.py", @@ -7432,7 +7983,7 @@ "label": "Normalize text by converting to lowercase and stripping combining diacritical\u2026", "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "rationale", "norm_label": "normalize text by converting to lowercase and stripping combining diacritical...", "source_file": "src/language.py", @@ -7443,7 +7994,7 @@ "label": "Tokenize text into lowercase alphanumeric words.", "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "rationale", "norm_label": "tokenize text into lowercase alphanumeric words.", "source_file": "src/language.py", @@ -7454,23 +8005,78 @@ "label": "Detect the ISO-639-1 language code of text among supported languages (pt, en,\u2026", "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "rationale", "norm_label": "detect the iso-639-1 language code of text among supported languages (pt, en,...", "source_file": "src/language.py", "source_location": "L478" }, + { + "id": "src_parser_rationale_1", + "label": "Markdown content parser and excerpt extraction utilities.", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "markdown content parser and excerpt extraction utilities.", + "source_file": "src/parser.py", + "source_location": "L1" + }, + { + "id": "src_parser_rationale_43", + "label": "Split text into individual sentences.", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "split text into individual sentences.", + "source_file": "src/parser.py", + "source_location": "L43" + }, + { + "id": "src_parser_rationale_53", + "label": "Extract relevant sentence excerpts from Markdown text that contain any of the\u2026", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "extract relevant sentence excerpts from markdown text that contain any of the...", + "source_file": "src/parser.py", + "source_location": "L53" + }, + { + "id": "src_parser_rationale_9", + "label": "Remove markdown syntax markers (headers, bold, italics, links, code blocks) to\u2026", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "remove markdown syntax markers (headers, bold, italics, links, code blocks) to...", + "source_file": "src/parser.py", + "source_location": "L9" + }, { "id": "tests_test_language_rationale_1", "label": "Unit tests for language detection and text normalization.", "_origin": "ast", "community": 121, - "community_name": "detect_language", + "community_name": "test_models.py", "file_type": "rationale", "norm_label": "unit tests for language detection and text normalization.", "source_file": "tests/test_language.py", "source_location": "L1" }, + { + "id": "tests_test_models_rationale_1", + "label": "Unit tests for ECP models, schema validation, and structured error handling.", + "_origin": "ast", + "community": 121, + "community_name": "test_models.py", + "file_type": "rationale", + "norm_label": "unit tests for ecp models, schema validation, and structured error handling.", + "source_file": "tests/test_models.py", + "source_location": "L1" + }, { "id": "tests_test_select_article_extractor", "label": "test_select_article_extractor.py", @@ -7527,15 +8133,15 @@ "source_location": "L50" }, { - "id": "tests_test_select_article_extractor_rationale_609", - "label": "E2E: Executa CLI com arquivo inexistente e valida c\u00f3digo 1 e mensagem no stderr.", + "id": "tests_test_select_article_extractor_rationale_531", + "label": "E2E: Executa scripts/select_article_extractor.py como subprocesso real na linha\u2026", "_origin": "ast", "community": 122, "community_name": "test_select_article_extractor.py", "file_type": "rationale", - "norm_label": "e2e: executa cli com arquivo inexistente e valida codigo 1 e mensagem no stderr.", + "norm_label": "e2e: executa scripts/select_article_extractor.py como subprocesso real na linha...", "source_file": "tests/test_select_article_extractor.py", - "source_location": "L609" + "source_location": "L531" }, { "id": "specs_004_deterministic_content_selection_spec_assumptions", @@ -10506,26 +11112,48 @@ "source_location": "L290" }, { - "id": "tests_test_extract_google_news_py_fixture", - "label": "fixture", + "id": "scripts_extract_google_news_rationale_108", + "label": "Mapeia idioma e locale para os par\u00e2metros hl, gl e ceid do Google News.", "_origin": "ast", "community": 149, - "community_name": "sample_rss_xml", - "file_type": "code", - "norm_label": "fixture", - "source_file": "", - "source_location": "" + "community_name": "get_hl_gl_ceid", + "file_type": "rationale", + "norm_label": "mapeia idioma e locale para os parametros hl, gl e ceid do google news.", + "source_file": "scripts/extract_google_news.py", + "source_location": "L108" }, { - "id": "tests_test_extract_google_news_rationale_33", - "label": "Fixture que fornece o conte\u00fado do XML de exemplo para testes offline.", + "id": "tests_test_extract_google_news_rationale_38", + "label": "Valida o mapeamento padr\u00e3o de idiomas para pares (hl, gl, ceid).", "_origin": "ast", "community": 149, - "community_name": "sample_rss_xml", + "community_name": "get_hl_gl_ceid", "file_type": "rationale", - "norm_label": "fixture que fornece o conteudo do xml de exemplo para testes offline.", + "norm_label": "valida o mapeamento padrao de idiomas para pares (hl, gl, ceid).", "source_file": "tests/test_extract_google_news.py", - "source_location": "L33" + "source_location": "L38" + }, + { + "id": "tests_test_extract_google_news_rationale_61", + "label": "Valida a sobrescrita geogr\u00e1fica quando o argumento locale \u00e9 especificado.", + "_origin": "ast", + "community": 149, + "community_name": "get_hl_gl_ceid", + "file_type": "rationale", + "norm_label": "valida a sobrescrita geografica quando o argumento locale e especificado.", + "source_file": "tests/test_extract_google_news.py", + "source_location": "L61" + }, + { + "id": "tests_test_extract_google_news_rationale_79", + "label": "Valida fallback din\u00e2mico para idiomas regionais n\u00e3o listados explicitamente.", + "_origin": "ast", + "community": 149, + "community_name": "get_hl_gl_ceid", + "file_type": "rationale", + "norm_label": "valida fallback dinamico para idiomas regionais nao listados explicitamente.", + "source_file": "tests/test_extract_google_news.py", + "source_location": "L79" }, { "id": "specify_templates_plan_template", @@ -10732,13 +11360,13 @@ "source_location": "L61" }, { - "id": "src_classifier_py_any", - "label": "Any", + "id": "tests_test_benchmark_24_py_parametrize", + "label": "parametrize", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", - "norm_label": "any", + "norm_label": "parametrize", "source_file": "", "source_location": "" }, @@ -10747,73 +11375,18 @@ "label": "test_llm_fallback.py", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "code", "norm_label": "test_llm_fallback.py", "source_file": "tests/test_llm_fallback.py", "source_location": "L1" }, - { - "id": "src_adapters_llm_rationale_155", - "label": "Executes LLM fallback for ambiguous boundary cases. Returns a refined\u2026", - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "rationale", - "norm_label": "executes llm fallback for ambiguous boundary cases. returns a refined...", - "source_file": "src/adapters/llm.py", - "source_location": "L155" - }, - { - "id": "src_adapters_llm_rationale_219", - "label": "Parses and validates structured JSON response from LLM.", - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "rationale", - "norm_label": "parses and validates structured json response from llm.", - "source_file": "src/adapters/llm.py", - "source_location": "L219" - }, - { - "id": "src_adapters_llm_rationale_43", - "label": "Optional adapter for LLM fallback boundary disambiguation.", - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "rationale", - "norm_label": "optional adapter for llm fallback boundary disambiguation.", - "source_file": "src/adapters/llm.py", - "source_location": "L43" - }, - { - "id": "src_adapters_llm_rationale_57", - "label": "Returns True if an API key or custom provider function is configured.", - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "rationale", - "norm_label": "returns true if an api key or custom provider function is configured.", - "source_file": "src/adapters/llm.py", - "source_location": "L57" - }, - { - "id": "src_adapters_llm_rationale_66", - "label": "Constructs an expert-engineered prompt for multilingual entity inherence\u2026", - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "rationale", - "norm_label": "constructs an expert-engineered prompt for multilingual entity inherence...", - "source_file": "src/adapters/llm.py", - "source_location": "L66" - }, { "id": "tests_test_llm_fallback_rationale_1", "label": "Su\u00edte de Testes para o Adaptador de Fallback para LLM (Tier 3) do Classificador\u2026", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "suite de testes para o adaptador de fallback para llm (tier 3) do classificador...", "source_file": "tests/test_llm_fallback.py", @@ -10824,7 +11397,7 @@ "label": "Valida extra\u00e7\u00e3o de JSON quando a resposta do LLM vem formatada em bloco\u2026", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "valida extracao de json quando a resposta do llm vem formatada em bloco...", "source_file": "tests/test_llm_fallback.py", @@ -10835,7 +11408,7 @@ "label": "Valida que respostas corrompidas ou JSONs sem campos obrigat\u00f3rios retornem None\u2026", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "valida que respostas corrompidas ou jsons sem campos obrigatorios retornem none...", "source_file": "tests/test_llm_fallback.py", @@ -10846,7 +11419,7 @@ "label": "Garante que o classificador dispare o Tier 3 LLM para casos amb\u00edguos\u2026", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "garante que o classificador dispare o tier 3 llm para casos ambiguos...", "source_file": "tests/test_llm_fallback.py", @@ -10857,7 +11430,7 @@ "label": "Garante que casos claros (alta confian\u00e7a e alta densidade de \u00e2ncoras) N\u00c3O\u2026", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "garante que casos claros (alta confianca e alta densidade de ancoras) nao...", "source_file": "tests/test_llm_fallback.py", @@ -10868,7 +11441,7 @@ "label": "Garante que se o LLM falhar por erro de rede ou timeout, o classificador\u2026", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "garante que se o llm falhar por erro de rede ou timeout, o classificador...", "source_file": "tests/test_llm_fallback.py", @@ -10879,29 +11452,18 @@ "label": "Garante que a CLI classify.py aceite e processe a flag --enable-llm sem erros.", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "garante que a cli classify.py aceite e processe a flag --enable-llm sem erros.", "source_file": "tests/test_llm_fallback.py", "source_location": "L292" }, - { - "id": "tests_test_llm_fallback_rationale_32", - "label": "Valida detec\u00e7\u00e3o de disponibilidade por chave de API ou provider customizado.", - "_origin": "ast", - "community": 152, - "community_name": "LLMFallbackAdapter", - "file_type": "rationale", - "norm_label": "valida deteccao de disponibilidade por chave de api ou provider customizado.", - "source_file": "tests/test_llm_fallback.py", - "source_location": "L32" - }, { "id": "tests_test_llm_fallback_rationale_49", "label": "Valida a montagem do prompt de desambigua\u00e7\u00e3o com metadados do ECP e documento.", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "valida a montagem do prompt de desambiguacao com metadados do ecp e documento.", "source_file": "tests/test_llm_fallback.py", @@ -10912,7 +11474,7 @@ "label": "Valida o parsing e instancia\u00e7\u00e3o correta do ClassificationResult a partir da\u2026", "_origin": "ast", "community": 152, - "community_name": "LLMFallbackAdapter", + "community_name": "ECPSnapshot", "file_type": "rationale", "norm_label": "valida o parsing e instanciacao correta do classificationresult a partir da...", "source_file": "tests/test_llm_fallback.py", @@ -11318,17 +11880,6 @@ "source_file": "", "source_location": "" }, - { - "id": "tests_test_e2e_text_analysis_pipeline_py_path", - "label": "Path", - "_origin": "ast", - "community": 165, - "community_name": "InherenceClassifier", - "file_type": "code", - "norm_label": "path", - "source_file": "", - "source_location": "" - }, { "id": "src_classifier_rationale_42", "label": "Tier 1 Deterministic NLP Entity Inherence Classifier with optional Tier 2 /\u2026", @@ -11341,15 +11892,15 @@ "source_location": "L42" }, { - "id": "tests_test_adversarial_rationale_15", - "label": "Content about city/state governance of S\u00e3o Paulo against ECP for S\u00e3o Paulo FC.", + "id": "tests_test_adversarial_rationale_45", + "label": "Content about apple fruit/culinary recipe against Apple Inc. tech entity.", "_origin": "ast", "community": 165, "community_name": "InherenceClassifier", "file_type": "rationale", - "norm_label": "content about city/state governance of sao paulo against ecp for sao paulo fc.", + "norm_label": "content about apple fruit/culinary recipe against apple inc. tech entity.", "source_file": "tests/test_adversarial.py", - "source_location": "L15" + "source_location": "L45" }, { "id": "tests_test_classifier_rationale_1", @@ -11362,6 +11913,116 @@ "source_file": "tests/test_classifier.py", "source_location": "L1" }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_106", + "label": "Cen\u00e1rio 1.3: O nome 'TechCorp' aparece 3 vezes no texto, satisfazendo a regra\u2026", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 1.3: o nome 'techcorp' aparece 3 vezes no texto, satisfazendo a regra...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L106" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_120", + "label": "Cen\u00e1rio 1.4: Men\u00e7\u00e3o da subsidi\u00e1ria 'CloudPlatform Solutions' com \u00e2ncoras de\u2026", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 1.4: mencao da subsidiaria 'cloudplatform solutions' com ancoras de...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L120" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_135", + "label": "Cen\u00e1rio 1.5: Men\u00e7\u00e3o ao CEO no grafo + \u00e2ncoras de tecnologia.", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 1.5: mencao ao ceo no grafo + ancoras de tecnologia.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L135" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_153", + "label": "Cen\u00e1rio 2.1: Conte\u00fado totalmente desvinculado (culin\u00e1ria/jardinagem).", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 2.1: conteudo totalmente desvinculado (culinaria/jardinagem).", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L153" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_168", + "label": "Cen\u00e1rio 2.2: Artigo cita muitas \u00e2ncoras ('cloud', 'software'), mas N\u00c3O cita a\u2026", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 2.2: artigo cita muitas ancoras ('cloud', 'software'), mas nao cita a...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L168" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_184", + "label": "Cen\u00e1rio 2.3: Hom\u00f4nimo 'TechCorp Cal\u00e7ados' dispara \u00e2ncora negativa dominante.", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 2.3: homonimo 'techcorp calcados' dispara ancora negativa dominante.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L184" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_197", + "label": "Cen\u00e1rio 2.4: 1 \u00e2ncora negativa e 1 positiva -> prioridade de seguran\u00e7a rejeita\u2026", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 2.4: 1 ancora negativa e 1 positiva -> prioridade de seguranca rejeita...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L197" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_211", + "label": "Cen\u00e1rio 3.1: Men\u00e7\u00e3o \u00fanica isolada sem \u00e2ncoras tem\u00e1ticas -> TANGENTIAL com baixa\u2026", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 3.1: mencao unica isolada sem ancoras tematicas -> tangential com baixa...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L211" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_222", + "label": "Cen\u00e1rio 3.2: Entidade do grafo mencionada sem contexto de dom\u00ednio -> TANGENTIAL.", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 3.2: entidade do grafo mencionada sem contexto de dominio -> tangential.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L222" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_93", + "label": "Cen\u00e1rio 1.2: Apenas o alias / sigla 'TCG' \u00e9 mencionado, com \u00e2ncoras do dom\u00ednio.", + "_origin": "ast", + "community": 165, + "community_name": "InherenceClassifier", + "file_type": "rationale", + "norm_label": "cenario 1.2: apenas o alias / sigla 'tcg' e mencionado, com ancoras do dominio.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L93" + }, { "id": "tests_test_e2e_text_analysis_pipeline_rationale_1", "label": "Su\u00edte de Testes E2E e de Integra\u00e7\u00e3o Completa para An\u00e1lise de Texto e\u2026", @@ -11439,28 +12100,6 @@ "source_file": "tests/test_e2e_text_analysis_pipeline.py", "source_location": "L282" }, - { - "id": "tests_test_e2e_text_analysis_pipeline_rationale_294", - "label": "Valida o contrato CLI completo classify.py com sa\u00edda em arquivo JSON e flags\u2026", - "_origin": "ast", - "community": 165, - "community_name": "InherenceClassifier", - "file_type": "rationale", - "norm_label": "valida o contrato cli completo classify.py com saida em arquivo json e flags...", - "source_file": "tests/test_e2e_text_analysis_pipeline.py", - "source_location": "L294" - }, - { - "id": "tests_test_e2e_text_analysis_pipeline_rationale_348", - "label": "Executa chamada ao vivo contra OpenAI ou Gemini caso OPENAI_API_KEY ou\u2026", - "_origin": "ast", - "community": 165, - "community_name": "InherenceClassifier", - "file_type": "rationale", - "norm_label": "executa chamada ao vivo contra openai ou gemini caso openai_api_key ou...", - "source_file": "tests/test_e2e_text_analysis_pipeline.py", - "source_location": "L348" - }, { "id": "scripts_convert_article_to_markdown_rationale_484", "label": "Remove o primeiro t\u00edtulo H1 do corpo somente quando ele for igual ao t\u00edtulo\u2026", @@ -11494,6 +12133,72 @@ "source_file": "tests/test_convert_article_to_markdown.py", "source_location": "L55" }, + { + "id": "src_adapters_llm_rationale_155", + "label": "Executes LLM fallback for ambiguous boundary cases. Returns a refined\u2026", + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "rationale", + "norm_label": "executes llm fallback for ambiguous boundary cases. returns a refined...", + "source_file": "src/adapters/llm.py", + "source_location": "L155" + }, + { + "id": "src_adapters_llm_rationale_219", + "label": "Parses and validates structured JSON response from LLM.", + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "rationale", + "norm_label": "parses and validates structured json response from llm.", + "source_file": "src/adapters/llm.py", + "source_location": "L219" + }, + { + "id": "src_adapters_llm_rationale_57", + "label": "Returns True if an API key or custom provider function is configured.", + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "rationale", + "norm_label": "returns true if an api key or custom provider function is configured.", + "source_file": "src/adapters/llm.py", + "source_location": "L57" + }, + { + "id": "src_adapters_llm_rationale_66", + "label": "Constructs an expert-engineered prompt for multilingual entity inherence\u2026", + "_origin": "ast", + "community": 168, + "community_name": ".disambiguate", + "file_type": "rationale", + "norm_label": "constructs an expert-engineered prompt for multilingual entity inherence...", + "source_file": "src/adapters/llm.py", + "source_location": "L66" + }, + { + "id": "tests_test_e2e_text_analysis_pipeline_py_path", + "label": "Path", + "_origin": "ast", + "community": 169, + "community_name": "test_funnel_cli_subprocess_end_to_end", + "file_type": "code", + "norm_label": "path", + "source_file": "", + "source_location": "" + }, + { + "id": "tests_test_e2e_text_analysis_pipeline_rationale_294", + "label": "Valida o contrato CLI completo classify.py com sa\u00edda em arquivo JSON e flags\u2026", + "_origin": "ast", + "community": 169, + "community_name": "test_funnel_cli_subprocess_end_to_end", + "file_type": "rationale", + "norm_label": "valida o contrato cli completo classify.py com saida em arquivo json e flags...", + "source_file": "tests/test_e2e_text_analysis_pipeline.py", + "source_location": "L294" + }, { "id": "agents_skills_speckit_checklist_skill", "label": "speckit-checklist/SKILL.md", @@ -14004,17 +14709,6 @@ "source_file": "src/adapters/llm.py", "source_location": "L1" }, - { - "id": "src_models", - "label": "models.py", - "_origin": "ast", - "community": 45, - "community_name": "ClassificationResult", - "file_type": "code", - "norm_label": "models.py", - "source_file": "src/models.py", - "source_location": "L1" - }, { "id": "tests_test_adapters", "label": "test_adapters.py", @@ -14125,17 +14819,6 @@ "source_file": "src/adapters/llm.py", "source_location": "L21" }, - { - "id": "src_models_rationale_1", - "label": "Data models and validation schemas for Multilingual NLP Entity Inherence\u2026", - "_origin": "ast", - "community": 45, - "community_name": "ClassificationResult", - "file_type": "rationale", - "norm_label": "data models and validation schemas for multilingual nlp entity inherence...", - "source_file": "src/models.py", - "source_location": "L1" - }, { "id": "tests_test_adapters_rationale_1", "label": "Unit tests for optional adapter interfaces (Tier 2 / Tier 3).", @@ -14169,6 +14852,17 @@ "source_file": "", "source_location": "" }, + { + "id": "tests_test_classify_exhaustive_suite_py_fixture", + "label": "fixture", + "_origin": "ast", + "community": 46, + "community_name": "test_adversarial.py", + "file_type": "code", + "norm_label": "fixture", + "source_file": "", + "source_location": "" + }, { "id": "tests_test_e2e_text_analysis_pipeline_py_fixture", "label": "fixture", @@ -14213,6 +14907,17 @@ "source_file": "tests/test_adversarial.py", "source_location": "L149" }, + { + "id": "tests_test_adversarial_rationale_15", + "label": "Content about city/state governance of S\u00e3o Paulo against ECP for S\u00e3o Paulo FC.", + "_origin": "ast", + "community": 46, + "community_name": "test_adversarial.py", + "file_type": "rationale", + "norm_label": "content about city/state governance of sao paulo against ecp for sao paulo fc.", + "source_file": "tests/test_adversarial.py", + "source_location": "L15" + }, { "id": "tests_test_adversarial_rationale_186", "label": "Run CLI via subprocess with missing target_name and verify error payload.", @@ -14235,17 +14940,6 @@ "source_file": "tests/test_adversarial.py", "source_location": "L221" }, - { - "id": "tests_test_adversarial_rationale_45", - "label": "Content about apple fruit/culinary recipe against Apple Inc. tech entity.", - "_origin": "ast", - "community": 46, - "community_name": "test_adversarial.py", - "file_type": "rationale", - "norm_label": "content about apple fruit/culinary recipe against apple inc. tech entity.", - "source_file": "tests/test_adversarial.py", - "source_location": "L45" - }, { "id": "tests_test_adversarial_rationale_69", "label": "High-weight related entity mentioned in passing without required domain anchors.", @@ -14269,114 +14963,268 @@ "source_location": "L43" }, { - "id": "src_classifier", - "label": "classifier.py", + "id": "src_classifier_py_any", + "label": "Any", "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "classifier.py", - "source_file": "src/classifier.py", - "source_location": "L1" + "norm_label": "any", + "source_file": "", + "source_location": "" }, { - "id": "src_parser", - "label": "parser.py", + "id": "tests_test_classify_exhaustive_suite", + "label": "test_classify_exhaustive_suite.py", "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "code", - "norm_label": "parser.py", - "source_file": "src/parser.py", + "norm_label": "test_classify_exhaustive_suite.py", + "source_file": "tests/test_classify_exhaustive_suite.py", "source_location": "L1" }, { - "id": "src_classifier_rationale_1", - "label": "Core deterministic classification engine (Tier 1 core).", + "id": "tests_test_classify_exhaustive_suite_py_parametrize", + "label": "parametrize", "_origin": "ast", "community": 47, - "community_name": "classifier.py", - "file_type": "rationale", - "norm_label": "core deterministic classification engine (tier 1 core).", - "source_file": "src/classifier.py", - "source_location": "L1" + "community_name": "LLMFallbackAdapter", + "file_type": "code", + "norm_label": "parametrize", + "source_file": "", + "source_location": "" }, { - "id": "src_classifier_rationale_18", - "label": "Check if a normalized phrase appears in normalized text with word boundary\u2026", + "id": "src_adapters_llm_rationale_43", + "label": "Optional adapter for LLM fallback boundary disambiguation.", "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "rationale", - "norm_label": "check if a normalized phrase appears in normalized text with word boundary...", - "source_file": "src/classifier.py", - "source_location": "L18" - }, - { - "id": "src_classifier_rationale_31", - "label": "Count occurrences of a phrase in text.", - "_origin": "ast", - "community": 47, - "community_name": "classifier.py", - "file_type": "rationale", - "norm_label": "count occurrences of a phrase in text.", - "source_file": "src/classifier.py", - "source_location": "L31" - }, - { - "id": "src_classifier_rationale_66", - "label": "Classify inherence of content against an ECP snapshot.", - "_origin": "ast", - "community": 47, - "community_name": "classifier.py", - "file_type": "rationale", - "norm_label": "classify inherence of content against an ecp snapshot.", - "source_file": "src/classifier.py", - "source_location": "L66" - }, - { - "id": "src_parser_rationale_1", - "label": "Markdown content parser and excerpt extraction utilities.", - "_origin": "ast", - "community": 47, - "community_name": "classifier.py", - "file_type": "rationale", - "norm_label": "markdown content parser and excerpt extraction utilities.", - "source_file": "src/parser.py", - "source_location": "L1" - }, - { - "id": "src_parser_rationale_43", - "label": "Split text into individual sentences.", - "_origin": "ast", - "community": 47, - "community_name": "classifier.py", - "file_type": "rationale", - "norm_label": "split text into individual sentences.", - "source_file": "src/parser.py", + "norm_label": "optional adapter for llm fallback boundary disambiguation.", + "source_file": "src/adapters/llm.py", "source_location": "L43" }, { - "id": "src_parser_rationale_53", - "label": "Extract relevant sentence excerpts from Markdown text that contain any of the\u2026", + "id": "tests_test_classify_exhaustive_suite_rationale_1", + "label": "Su\u00edte de Testes Exaustiva para o Classificador de Iner\u00eancia (classify.py e\u2026", "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "rationale", - "norm_label": "extract relevant sentence excerpts from markdown text that contain any of the...", - "source_file": "src/parser.py", - "source_location": "L53" + "norm_label": "suite de testes exaustiva para o classificador de inerencia (classify.py e...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L1" }, { - "id": "src_parser_rationale_9", - "label": "Remove markdown syntax markers (headers, bold, italics, links, code blocks) to\u2026", + "id": "tests_test_classify_exhaustive_suite_rationale_237", + "label": "Cen\u00e1rio 4.1: Caso amb\u00edguo elevado para DIRECT_INHERENT pelo LLM.", "_origin": "ast", "community": 47, - "community_name": "classifier.py", + "community_name": "LLMFallbackAdapter", "file_type": "rationale", - "norm_label": "remove markdown syntax markers (headers, bold, italics, links, code blocks) to...", - "source_file": "src/parser.py", - "source_location": "L9" + "norm_label": "cenario 4.1: caso ambiguo elevado para direct_inherent pelo llm.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L237" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_260", + "label": "Cen\u00e1rio 4.2: Caso amb\u00edguo elevado para CONTEXTUAL_INHERENT pelo LLM.", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.2: caso ambiguo elevado para contextual_inherent pelo llm.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L260" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_281", + "label": "Cen\u00e1rio 4.3: LLM confirma categoricamente que a men\u00e7\u00e3o \u00e9 perif\u00e9rica /\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.3: llm confirma categoricamente que a mencao e periferica /...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L281" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_302", + "label": "Cen\u00e1rio 4.4: LLM identifica hom\u00f4nimo n\u00e3o mapeado nas regras determin\u00edsticas e\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.4: llm identifica homonimo nao mapeado nas regras deterministicas e...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L302" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_323", + "label": "Cen\u00e1rio 4.5: Quando enable_llm=False (padr\u00e3o), o LLM NUNCA \u00e9 chamado mesmo em\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.5: quando enable_llm=false (padrao), o llm nunca e chamado mesmo em...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L323" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_341", + "label": "Cen\u00e1rio 4.6: enable_llm=True mas sem chaves no ambiente -> degrada sem quebrar,\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.6: enable_llm=true mas sem chaves no ambiente -> degrada sem quebrar,...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L341" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_354", + "label": "Cen\u00e1rio 4.7: API do LLM sofre TimeoutError -> ret\u00e9m Tier 1 e registra aviso em\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.7: api do llm sofre timeouterror -> retem tier 1 e registra aviso em...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L354" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_370", + "label": "Cen\u00e1rio 4.8: API do LLM retorna erro 500 / ConnectionError -> ret\u00e9m Tier 1 com\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.8: api do llm retorna erro 500 / connectionerror -> retem tier 1 com...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L370" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_386", + "label": "Cen\u00e1rio 4.9: LLM retorna texto livre ou JSON quebrado -> parser ignora com\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.9: llm retorna texto livre ou json quebrado -> parser ignora com...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L386" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_408", + "label": "Cen\u00e1rio 4.10: LLM retorna JSON v\u00e1lido mas sem o campo obrigat\u00f3rio 'decision'.", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.10: llm retorna json valido mas sem o campo obrigatorio 'decision'.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L408" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_420", + "label": "Cen\u00e1rio 4.11: LLM alucina uma categoria inexistente (ex: 'SUPER_INHERENT').", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.11: llm alucina uma categoria inexistente (ex: 'super_inherent').", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L420" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_432", + "label": "Cen\u00e1rio 4.12: LLM retorna confidence fora do intervalo [0.0, 1.0] -> clippa com\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.12: llm retorna confidence fora do intervalo [0.0, 1.0] -> clippa com...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L432" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_454", + "label": "Cen\u00e1rio 4.13: Caso claro de alta densidade N\u00c3O chama LLM mesmo com\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 4.13: caso claro de alta densidade nao chama llm mesmo com...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L454" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_480", + "label": "Cen\u00e1rio 5.1: Simula execu\u00e7\u00e3o bem-sucedida via cliente OpenAI SDK.", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 5.1: simula execucao bem-sucedida via cliente openai sdk.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L480" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_516", + "label": "Cen\u00e1rio 5.2: Simula execu\u00e7\u00e3o bem-sucedida via API REST do Google Gemini.", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 5.2: simula execucao bem-sucedida via api rest do google gemini.", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L516" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_77", + "label": "Cen\u00e1rio 1.1: Nome can\u00f4nico + m\u00faltiplas \u00e2ncoras tem\u00e1ticas -> DIRECT_INHERENT com\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "cenario 1.1: nome canonico + multiplas ancoras tematicas -> direct_inherent com...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L77" + }, + { + "id": "tests_test_classify_exhaustive_suite_rationale_792", + "label": "Garante a precis\u00e3o e robustez do classificador nos 6 idiomas suportados pela\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "garante a precisao e robustez do classificador nos 6 idiomas suportados pela...", + "source_file": "tests/test_classify_exhaustive_suite.py", + "source_location": "L792" + }, + { + "id": "tests_test_e2e_text_analysis_pipeline_rationale_348", + "label": "Executa chamada ao vivo contra OpenAI ou Gemini caso OPENAI_API_KEY ou\u2026", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "executa chamada ao vivo contra openai ou gemini caso openai_api_key ou...", + "source_file": "tests/test_e2e_text_analysis_pipeline.py", + "source_location": "L348" + }, + { + "id": "tests_test_llm_fallback_rationale_32", + "label": "Valida detec\u00e7\u00e3o de disponibilidade por chave de API ou provider customizado.", + "_origin": "ast", + "community": 47, + "community_name": "LLMFallbackAdapter", + "file_type": "rationale", + "norm_label": "valida deteccao de disponibilidade por chave de api ou provider customizado.", + "source_file": "tests/test_llm_fallback.py", + "source_location": "L32" }, { "id": "tests_test_convert_article_to_markdown", @@ -16323,17 +17171,6 @@ "source_file": "scripts/extract_google_news.py", "source_location": "L1" }, - { - "id": "scripts_extract_google_news_rationale_108", - "label": "Mapeia idioma e locale para os par\u00e2metros hl, gl e ceid do Google News.", - "_origin": "ast", - "community": 82, - "community_name": "extract_google_news.py", - "file_type": "rationale", - "norm_label": "mapeia idioma e locale para os parametros hl, gl e ceid do google news.", - "source_file": "scripts/extract_google_news.py", - "source_location": "L108" - }, { "id": "scripts_extract_google_news_rationale_152", "label": "Remove pontua\u00e7\u00e3o e espa\u00e7os extras para compara\u00e7\u00e3o de redund\u00e2ncia.", @@ -16400,17 +17237,6 @@ "source_file": "scripts/extract_google_news.py", "source_location": "L65" }, - { - "id": "tests_test_extract_google_news_rationale_112", - "label": "Valida o parsing do feed RSS, higieniza\u00e7\u00e3o de tags HTML e deduplica\u00e7\u00e3o.", - "_origin": "ast", - "community": 82, - "community_name": "extract_google_news.py", - "file_type": "rationale", - "norm_label": "valida o parsing do feed rss, higienizacao de tags html e deduplicacao.", - "source_file": "tests/test_extract_google_news.py", - "source_location": "L112" - }, { "id": "tests_test_extract_google_news_rationale_162", "label": "Valida a resolu\u00e7\u00e3o concorrente em lote de uma lista de NewsArticle.", @@ -16445,15 +17271,15 @@ "source_location": "L85" }, { - "id": "tests_test_extract_google_news_rationale_303", - "label": "Valida E2E o fluxo completo de busca, parsing e resolu\u00e7\u00e3o de URLs reais ao vivo.", + "id": "tests_test_extract_google_news_rationale_187", + "label": "Valida a consolida\u00e7\u00e3o do ExtractionResult a partir da busca mockada com URLs\u2026", "_origin": "ast", "community": 83, "community_name": "ExtractionResult", "file_type": "rationale", - "norm_label": "valida e2e o fluxo completo de busca, parsing e resolucao de urls reais ao vivo.", + "norm_label": "valida a consolidacao do extractionresult a partir da busca mockada com urls...", "source_file": "tests/test_extract_google_news.py", - "source_location": "L303" + "source_location": "L187" }, { "id": "tests_test_extract_google_news", @@ -16466,6 +17292,17 @@ "source_file": "tests/test_extract_google_news.py", "source_location": "L1" }, + { + "id": "tests_test_extract_google_news_py_fixture", + "label": "fixture", + "_origin": "ast", + "community": 84, + "community_name": "test_extract_google_news.py", + "file_type": "code", + "norm_label": "fixture", + "source_file": "", + "source_location": "" + }, { "id": "scripts_extract_google_news_rationale_208", "label": "Resolve a URL intermedi\u00e1ria do Google News para a URL real do ve\u00edculo.", @@ -16488,6 +17325,17 @@ "source_file": "tests/test_extract_google_news.py", "source_location": "L1" }, + { + "id": "tests_test_extract_google_news_rationale_112", + "label": "Valida o parsing do feed RSS, higieniza\u00e7\u00e3o de tags HTML e deduplica\u00e7\u00e3o.", + "_origin": "ast", + "community": 84, + "community_name": "test_extract_google_news.py", + "file_type": "rationale", + "norm_label": "valida o parsing do feed rss, higienizacao de tags html e deduplicacao.", + "source_file": "tests/test_extract_google_news.py", + "source_location": "L112" + }, { "id": "tests_test_extract_google_news_rationale_139", "label": "Valida fallback gracioso de URL quando n\u00e3o \u00e9 link do Google News ou em erro.", @@ -16522,37 +17370,15 @@ "source_location": "L282" }, { - "id": "tests_test_extract_google_news_rationale_38", - "label": "Valida o mapeamento padr\u00e3o de idiomas para pares (hl, gl, ceid).", + "id": "tests_test_extract_google_news_rationale_33", + "label": "Fixture que fornece o conte\u00fado do XML de exemplo para testes offline.", "_origin": "ast", "community": 84, "community_name": "test_extract_google_news.py", "file_type": "rationale", - "norm_label": "valida o mapeamento padrao de idiomas para pares (hl, gl, ceid).", + "norm_label": "fixture que fornece o conteudo do xml de exemplo para testes offline.", "source_file": "tests/test_extract_google_news.py", - "source_location": "L38" - }, - { - "id": "tests_test_extract_google_news_rationale_61", - "label": "Valida a sobrescrita geogr\u00e1fica quando o argumento locale \u00e9 especificado.", - "_origin": "ast", - "community": 84, - "community_name": "test_extract_google_news.py", - "file_type": "rationale", - "norm_label": "valida a sobrescrita geografica quando o argumento locale e especificado.", - "source_file": "tests/test_extract_google_news.py", - "source_location": "L61" - }, - { - "id": "tests_test_extract_google_news_rationale_79", - "label": "Valida fallback din\u00e2mico para idiomas regionais n\u00e3o listados explicitamente.", - "_origin": "ast", - "community": 84, - "community_name": "test_extract_google_news.py", - "file_type": "rationale", - "norm_label": "valida fallback dinamico para idiomas regionais nao listados explicitamente.", - "source_file": "tests/test_extract_google_news.py", - "source_location": "L79" + "source_location": "L33" }, { "id": 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1787320239.025866, - "ast_hash": "d6cc674d407a99ab52f6d5156f9b3d8e", + "mtime": 1787321309.8981817, + "seen": 1787321481.1505442, + "ast_hash": "a4e5dafed12aa4eaf096988b2c6a8ae0", "semantic_hash": "" }, "src/language.py": { @@ -654,9 +654,9 @@ "semantic_hash": "" }, "README.md": { - "mtime": 1787321187.0812356, - "seen": 1787321205.5201268, - "ast_hash": "aedfaf7a245288227952a2e28e7e7b13", + "mtime": 1787321467.0542295, + "seen": 1787321481.1561577, + "ast_hash": "0cde8e800125cbba61a1d7de9d9d2c9e", "semantic_hash": "" }, "scripts/extract_article_contents.py": { @@ -922,5 +922,11 @@ "seen": 1787321205.5156026, "ast_hash": "3a2d47f2ffcf8371ffdf90bb797b5346", "semantic_hash": "" + }, + "tests/test_classify_exhaustive_suite.py": { + "mtime": 1787321371.2658408, + "seen": 1787321481.15137, + "ast_hash": "08e3c680d8669b2849a19d73b27b869a", + "semantic_hash": "" } } \ No newline at end of file diff --git a/graphify-out/GRAPH_REPORT.md b/graphify-out/GRAPH_REPORT.md index 4e8b1de..e1209b3 100644 --- a/graphify-out/GRAPH_REPORT.md +++ b/graphify-out/GRAPH_REPORT.md @@ -1,7 +1,7 @@ # Graph Report - TextNLPClassifierApp (2026-08-21) ## Corpus Check -- 203 files · ~114,894 words +- 203 files · ~114,931 words - Verdict: corpus is large enough that graph structure adds value. ## Summary @@ -10,7 +10,7 @@ - Token cost: 0 input · 0 output ## Graph Freshness -- Built from commit: `a874b98d` +- Built from commit: `2cdd3547` - Run `git rev-parse HEAD` and compare to check if the graph is stale. - Run `graphify update .` after code changes (no API cost). @@ -157,7 +157,7 @@ - Specification Quality Checklist: Convert Article JSON to Markdown - CLI Contract: `convert_article_to_markdown.py` - 9. Interface CLI -- get_hl_gl_ceid +- sample_rss_xml - 13. Estratégia de testes - 6. Contrato de entrada - ECPSnapshot @@ -196,7 +196,7 @@ classify.py → src/models.py - `main()` --uses--> `ErrorCode` [INFERRED] classify.py → src/models.py -- `test_e2e_extract_google_news_live_pipeline()` --uses--> `ExtractionResult` [INFERRED] +- `test_extract_google_news_orchestration_mocked()` --uses--> `ExtractionResult` [INFERRED] tests/test_extract_google_news.py → scripts/extract_google_news.py - `test_llm_adapter_interface()` --calls--> `LLMFallbackAdapter` [EXTRACTED] tests/test_adapters.py → src/adapters/llm.py @@ -373,16 +373,16 @@ 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: 0.20 -Nodes (14): extract_google_news(), _fetch_rss_content(), NewsArticle, _normalize_text_for_comparison(), parse_google_news_rss(), Remove pontuação e espaços extras para comparação de redundância., Parseia o XML do RSS do Google News e extrai os itens estruturados., Resolve em paralelo as URLs intermediárias do Google News para os links finais… (+6 more) +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 a consolidação do ExtractionResult a partir da busca mockada com URLs…, test_extract_google_news_orchestration_mocked() +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: 0.16 -Nodes (14): Resolve a URL intermediária do Google News para a URL real do veículo., resolve_article_url(), fixture, Testes unitários e de integração para o Extrator de Manchetes do Google News.…, Valida o parsing do feed RSS, higienização de tags HTML e deduplicação., 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… (+6 more) +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 @@ -402,7 +402,7 @@ Nodes (7): Architecture & Pipeline, Documentation (this feature), Implementation ### Community 90 - "SearchQuery" Cohesion: 0.20 -Nodes (6): Value Object com parâmetros de busca validados., SearchQuery, Valida E2E o fluxo completo de busca, parsing e resolução de URLs reais ao vivo., Valida as regras de negócio e limites de SearchQuery., test_e2e_extract_google_news_live_pipeline(), test_search_query_validation() +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 @@ -624,9 +624,9 @@ Nodes (5): 1. Script Signature, 2. Command-Line Arguments, 3. Exit Codes, 4. Sta Cohesion: 0.40 Nodes (5): 9.1 Script, 9.2 Argumentos, 9.3 Exemplos, 9.4 Saída do processo, 9. Interface CLI -### Community 149 - "get_hl_gl_ceid" -Cohesion: 0.25 -Nodes (8): get_hl_gl_ceid(), Mapeia idioma e locale para os parâmetros hl, gl e ceid do Google News., Valida o mapeamento padrão de idiomas para pares (hl, gl, ceid)., Valida a sobrescrita geográfica quando o argumento locale é especificado., Valida fallback dinâmico para idiomas regionais não listados explicitamente., test_get_hl_gl_ceid_default_mappings(), test_get_hl_gl_ceid_dynamic_fallback(), test_get_hl_gl_ceid_with_custom_locale() +### Community 149 - "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 150 - "13. 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