test(e2e): add comprehensive Senior QA E2E text analysis and LLM fallback funnel suite
This commit is contained in:
@@ -99,7 +99,7 @@
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"97": "🧠 TextNLPClassifierApp",
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"98": "Extraction Pipeline Checklist: Article Content Multi-Engine Extractor",
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"99": "parametrize",
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"100": "models.py",
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"100": "main",
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"101": "ECPSnapshot",
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"102": "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)",
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"103": "4. Requisitos Funcionais (FR)",
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@@ -151,7 +151,7 @@
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"149": "sample_rss_xml",
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"150": "13. Estratégia de testes",
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"151": "6. Contrato de entrada",
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"152": "InherenceClassifier",
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"152": "LLMFallbackAdapter",
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"153": "convert_html_to_markdown",
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"154": "JSON Schema Contract: Deterministic Article Content Selection",
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"155": "5. Escopo",
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@@ -164,7 +164,7 @@
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"162": "test_normalize_date_iso_8601_variants",
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"163": "test_metadata_priority_original_url_all_fallbacks",
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"164": "test_normalize_scalar_non_string_types",
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"165": ".disambiguate",
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"165": "InherenceClassifier",
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"166": "remove_duplicate_initial_h1",
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"167": "test_normalize_scalar_whitespace_collapsing"
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}
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@@ -1 +1 @@
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{"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": "4b60cb0ee1ac186a", "29": "f56fbca9bb8235ec", "30": "c7beed940704509f", "31": "38be2d254fb31ae8", "32": "ee5596fcf7e7c0b3", "33": "e4d4e0a440bc599f", "34": "c897e49c001acdae", "35": "3aad272a2cf5d495", "36": "0a197439d306b956", "37": "f43acf5c8b1329af", "38": "6775efafc9b33338", "39": "8176a164778526f9", "40": "66b69189c0acc3ff", "41": "0322ff824966a4d8", "42": "784c9e3d336a7f53", "43": "4b8bb6c3f7b64856", "44": "18c0ff3e6225bcb2", "45": "d5eb5f4efd73cafb", "46": "57116576996271f5", "47": "0fad42a4989aa7e3", "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": "5095122914e83cf5", "84": "1aef305bd7d7d63f", "85": "f8bfd0cfe9e8b478", "86": "410d15a346bd5894", "87": "6b41d288cfd834ab", "88": "5aa6db96312a8811", "89": "80225792bb62ba04", "90": "fd291228c3311f40", "91": "d4579c5b7aa2742a", "92": "7b9ba7c3bff11361", "93": "71cd9c1fa4a857f0", "94": "34cd980be3c32d21", "95": "970093453f3b7d90", "96": "9e96780a2b7c4bd6", "97": "b7c10b0e09caac0b", "98": "089ea6a55861c693", "99": "cb6165a7dc822d29", "100": "7bdb2c6abfbde762", "101": "3e1a3e8ca5030d57", "102": "6aa00d5a83295f11", "103": "f58668f5b10ccdeb", "104": "4ec787414cc6f50b", "105": "1cf3077fd45d874a", "106": "edcd5d9bb3c4b00f", "107": "37f2f47110fe3eaa", "108": "b7ad5abb1da8cf8d", "109": "cb48a9c4f54efa38", "110": "f6dd36fd7f3edbe5", "111": "2925b620f0b1fd17", "112": "d8b3099917c3b711", "113": "3bb61caa0302c804", "114": "0d4f1d08dd056bb9", "115": "4ac2dcddeec2ff11", "116": "07da9aae9668f573", "117": "196f63e0c4536d30", "118": "ade84262e3cfac12", "119": "ebe4e5e0c42c613f", "120": "16f0543249fafdd8", "121": "5396e68ca6c185ad", "122": "d1eeebf358bcab60", "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": "4c30720833331d86", "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": "1e217fe7a21a2501", "166": "85c97dab928b9b1b", "167": "7ab5695391e32126"}
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@@ -148,7 +148,7 @@
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"146": "Specification Quality Checklist: Convert Article JSON to Markdown",
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"147": "CLI Contract: `convert_article_to_markdown.py`",
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"148": "9. Interface CLI",
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"149": "get_hl_gl_ceid",
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"149": "sample_rss_xml",
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"150": "13. Estratégia de testes",
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"151": "6. Contrato de entrada",
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"152": "InherenceClassifier",
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@@ -164,7 +164,7 @@
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"162": "test_normalize_date_iso_8601_variants",
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"163": "test_metadata_priority_original_url_all_fallbacks",
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"164": "test_normalize_scalar_non_string_types",
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"165": "LLMFallbackAdapter",
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"165": ".disambiguate",
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"166": "remove_duplicate_initial_h1",
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"167": "test_normalize_scalar_whitespace_collapsing"
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}
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@@ -1,7 +1,7 @@
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# Graph Report - TextNLPClassifierApp (2026-08-21)
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## Corpus Check
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- 201 files · ~110,162 words
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- 201 files · ~110,615 words
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- Verdict: corpus is large enough that graph structure adds value.
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## Summary
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- Token cost: 0 input · 0 output
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## Graph Freshness
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- Built from commit: `cb33dafa`
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- Built from commit: `31152d50`
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- Run `git rev-parse HEAD` and compare to check if the graph is stale.
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- Run `graphify update .` after code changes (no API cost).
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@@ -157,7 +157,7 @@
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- Specification Quality Checklist: Convert Article JSON to Markdown
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- CLI Contract: `convert_article_to_markdown.py`
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- 9. Interface CLI
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- get_hl_gl_ceid
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- sample_rss_xml
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- 13. Estratégia de testes
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- 6. Contrato de entrada
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- InherenceClassifier
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@@ -173,7 +173,7 @@
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- test_normalize_date_iso_8601_variants
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- test_metadata_priority_original_url_all_fallbacks
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- test_normalize_scalar_non_string_types
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- LLMFallbackAdapter
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- .disambiguate
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- remove_duplicate_initial_h1
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- test_normalize_scalar_whitespace_collapsing
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@@ -192,7 +192,7 @@
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## Surprising Connections (you probably didn't know these)
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- `main()` --uses--> `ECPSnapshot` [INFERRED]
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classify.py → src/models.py
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- `test_e2e_extract_google_news_live_pipeline()` --uses--> `ExtractionResult` [INFERRED]
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- `test_extract_google_news_orchestration_mocked()` --uses--> `ExtractionResult` [INFERRED]
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tests/test_extract_google_news.py → scripts/extract_google_news.py
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- `test_llm_adapter_interface()` --calls--> `LLMFallbackAdapter` [EXTRACTED]
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tests/test_adapters.py → src/adapters/llm.py
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@@ -371,16 +371,16 @@ Cohesion: 0.08
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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)
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### Community 82 - "extract_google_news.py"
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Cohesion: 0.20
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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)
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Cohesion: 0.15
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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)
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### Community 83 - "ExtractionResult"
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Cohesion: 0.29
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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()
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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()
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### Community 84 - "test_extract_google_news.py"
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Cohesion: 0.16
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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)
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Cohesion: 0.15
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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)
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### Community 85 - "Implementation Tasks: Google News Headlines Extractor"
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Cohesion: 0.14
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@@ -400,7 +400,7 @@ Nodes (7): Architecture & Pipeline, Documentation (this feature), Implementation
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### Community 90 - "SearchQuery"
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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
|
||||
@@ -622,9 +622,9 @@ 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. Estratégia de testes"
|
||||
Cohesion: 0.50
|
||||
@@ -635,8 +635,8 @@ 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 - "InherenceClassifier"
|
||||
Cohesion: 0.14
|
||||
Nodes (24): InherenceClassifier, Tier 1 Deterministic NLP Entity Inherence Classifier with optional Tier 2 /…, DecisionCategory, Unit tests for deterministic classification decision logic., test_contextual_inherent(), test_direct_inherent(), test_negative_anchor_suppression(), test_not_related() (+16 more)
|
||||
Cohesion: 0.11
|
||||
Nodes (31): LLMFallbackAdapter, Optional adapter for LLM fallback boundary disambiguation., InherenceClassifier, Any, Tier 1 Deterministic NLP Entity Inherence Classifier with optional Tier 2 /…, DecisionCategory, Unit tests for deterministic classification decision logic., test_contextual_inherent() (+23 more)
|
||||
|
||||
### Community 153 - "convert_html_to_markdown"
|
||||
Cohesion: 0.33
|
||||
@@ -650,9 +650,9 @@ Nodes (3): 1. Input JSON Schema, 2. Output JSON Schema, JSON Schema Contract: De
|
||||
Cohesion: 0.67
|
||||
Nodes (3): 5.1 Incluído, 5.2 Fora do escopo, 5. Escopo
|
||||
|
||||
### Community 165 - "LLMFallbackAdapter"
|
||||
Cohesion: 0.13
|
||||
Nodes (11): LLMFallbackAdapter, Optional adapter for LLM fallback boundary disambiguation., Returns True if an API key or custom provider function is configured., Constructs a structured disambiguation prompt for the LLM., Executes LLM fallback for ambiguous boundary cases. Returns a refined…, Parses and validates structured JSON response from LLM., Any, Valida detecção de disponibilidade por chave de API ou provider customizado. (+3 more)
|
||||
### Community 165 - ".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 166 - "remove_duplicate_initial_h1"
|
||||
Cohesion: 0.50
|
||||
|
||||
+371
-371
File diff suppressed because it is too large
Load Diff
@@ -330,9 +330,9 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"src/adapters/llm.py": {
|
||||
"mtime": 1787320047.0352886,
|
||||
"seen": 1787320239.0258572,
|
||||
"ast_hash": "ffcf26cb4e89395aa8771ddb4f5de785",
|
||||
"mtime": 1787320797.2485664,
|
||||
"seen": 1787320818.2953389,
|
||||
"ast_hash": "a5cd6f66048ee1d443c2c91ae9947a14",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"src/classifier.py": {
|
||||
@@ -912,9 +912,9 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"tests/test_llm_fallback.py": {
|
||||
"mtime": 1787320089.2120655,
|
||||
"seen": 1787320239.0310187,
|
||||
"ast_hash": "74bc17c4668551e77214d6581baf206c",
|
||||
"mtime": 1787320797.249565,
|
||||
"seen": 1787320818.2967606,
|
||||
"ast_hash": "e5d98de814ceeecd8bd601a7c206e92d",
|
||||
"semantic_hash": ""
|
||||
}
|
||||
}
|
||||
@@ -1,16 +1,16 @@
|
||||
# Graph Report - TextNLPClassifierApp (2026-08-21)
|
||||
|
||||
## Corpus Check
|
||||
- 201 files · ~110,615 words
|
||||
- 202 files · ~112,197 words
|
||||
- Verdict: corpus is large enough that graph structure adds value.
|
||||
|
||||
## Summary
|
||||
- 1554 nodes · 1970 edges · 168 communities (120 shown, 48 thin omitted)
|
||||
- Extraction: 97% EXTRACTED · 3% INFERRED · 0% AMBIGUOUS · INFERRED: 59 edges (avg confidence: 0.95)
|
||||
- 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)
|
||||
- Token cost: 0 input · 0 output
|
||||
|
||||
## Graph Freshness
|
||||
- Built from commit: `31152d50`
|
||||
- Built from commit: `bae14405`
|
||||
- Run `git rev-parse HEAD` and compare to check if the graph is stale.
|
||||
- Run `graphify update .` after code changes (no API cost).
|
||||
|
||||
@@ -110,7 +110,7 @@
|
||||
- 🧠 TextNLPClassifierApp
|
||||
- Extraction Pipeline Checklist: Article Content Multi-Engine Extractor
|
||||
- parametrize
|
||||
- models.py
|
||||
- main
|
||||
- ECPSnapshot
|
||||
- Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)
|
||||
- 4. Requisitos Funcionais (FR)
|
||||
@@ -160,7 +160,7 @@
|
||||
- sample_rss_xml
|
||||
- 13. Estratégia de testes
|
||||
- 6. Contrato de entrada
|
||||
- InherenceClassifier
|
||||
- LLMFallbackAdapter
|
||||
- convert_html_to_markdown
|
||||
- JSON Schema Contract: Deterministic Article Content Selection
|
||||
- 5. Escopo
|
||||
@@ -173,16 +173,16 @@
|
||||
- test_normalize_date_iso_8601_variants
|
||||
- test_metadata_priority_original_url_all_fallbacks
|
||||
- test_normalize_scalar_non_string_types
|
||||
- .disambiguate
|
||||
- InherenceClassifier
|
||||
- remove_duplicate_initial_h1
|
||||
- test_normalize_scalar_whitespace_collapsing
|
||||
|
||||
## God Nodes (most connected - your core abstractions)
|
||||
1. `ECPSnapshot` - 40 edges
|
||||
2. `InherenceClassifier` - 29 edges
|
||||
3. `DecisionCategory` - 28 edges
|
||||
4. `LLMFallbackAdapter` - 26 edges
|
||||
5. `ClassificationResult` - 24 edges
|
||||
1. `ECPSnapshot` - 49 edges
|
||||
2. `InherenceClassifier` - 36 edges
|
||||
3. `DecisionCategory` - 35 edges
|
||||
4. `LLMFallbackAdapter` - 32 edges
|
||||
5. `ClassificationResult` - 26 edges
|
||||
6. `select_article_extractor()` - 23 edges
|
||||
7. `ExtractorName` - 21 edges
|
||||
8. `PRD — Conversão de artigo JSON para Markdown` - 16 edges
|
||||
@@ -347,12 +347,12 @@ Cohesion: 0.29
|
||||
Nodes (6): 1.1 Arguments & Options, 1. Command Line Interface, 2.1 Exit Codes, 2.2 Standard Output (`stdout`) / Standard Error (`stderr`), 2. Standard Streams & Exit Codes, CLI Contract & Interface Specification (POC)
|
||||
|
||||
### Community 45 - "ClassificationResult"
|
||||
Cohesion: 0.11
|
||||
Nodes (17): 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 (+9 more)
|
||||
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)
|
||||
|
||||
### Community 46 - "test_adversarial.py"
|
||||
Cohesion: 0.10
|
||||
Nodes (19): Any, 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. (+11 more)
|
||||
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)
|
||||
|
||||
### Community 47 - "classifier.py"
|
||||
Cohesion: 0.16
|
||||
@@ -434,13 +434,13 @@ Nodes (34): 1. Requirement Completeness, 2. Requirement Clarity & Non-Ambiguity,
|
||||
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 - "models.py"
|
||||
Cohesion: 0.15
|
||||
Nodes (17): emit_error(), main(), parse_args(), Namespace, ClassificationError, ErrorCode, MatchedGraphEntity, Enum (+9 more)
|
||||
### Community 100 - "main"
|
||||
Cohesion: 0.17
|
||||
Nodes (15): emit_error(), main(), parse_args(), Namespace, ClassificationError, ErrorCode, Enum, str (+7 more)
|
||||
|
||||
### Community 101 - "ECPSnapshot"
|
||||
Cohesion: 0.24
|
||||
Nodes (10): ECPSnapshot, 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., test_ecp_snapshot_defaults() (+2 more)
|
||||
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 102 - "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)"
|
||||
Cohesion: 0.14
|
||||
@@ -520,7 +520,7 @@ Nodes (16): detect_language(), extract_words(), normalize_text(), Lightweight mu
|
||||
|
||||
### 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  seja descartada e link…, E2E: Executa scripts/select_article_extractor.py como subprocesso real na linha…, test_e2e_cli_subprocess_real_execution() (+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  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)
|
||||
|
||||
### Community 123 - "Feature Specification: Deterministic Content Selection"
|
||||
Cohesion: 0.17
|
||||
@@ -634,9 +634,9 @@ 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 - "InherenceClassifier"
|
||||
Cohesion: 0.11
|
||||
Nodes (31): LLMFallbackAdapter, Optional adapter for LLM fallback boundary disambiguation., InherenceClassifier, Any, Tier 1 Deterministic NLP Entity Inherence Classifier with optional Tier 2 /…, DecisionCategory, Unit tests for deterministic classification decision logic., test_contextual_inherent() (+23 more)
|
||||
### 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 153 - "convert_html_to_markdown"
|
||||
Cohesion: 0.33
|
||||
@@ -650,9 +650,9 @@ Nodes (3): 1. Input JSON Schema, 2. Output JSON Schema, JSON Schema Contract: De
|
||||
Cohesion: 0.67
|
||||
Nodes (3): 5.1 Incluído, 5.2 Fora do escopo, 5. Escopo
|
||||
|
||||
### Community 165 - ".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 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)
|
||||
|
||||
### Community 166 - "remove_duplicate_initial_h1"
|
||||
Cohesion: 0.50
|
||||
@@ -667,16 +667,16 @@ Nodes (4): Remove o primeiro título H1 do corpo somente quando ele for igual ao
|
||||
_Questions this graph is uniquely positioned to answer:_
|
||||
|
||||
- **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 (0.008) - this node is a cross-community bridge._
|
||||
- **Why does `Implementation Plan: Convert Article JSON to Markdown` connect `Implementation Plan: Convert Article JSON to Markdown` to `005-convert-json-markdown/plan.md`?**
|
||||
_High betweenness centrality (0.004) - this node is a cross-community bridge._
|
||||
_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._
|
||||
- **Are the 10 inferred relationships involving `ECPSnapshot` (e.g. with `main()` and `BaseNLPAdapter`) actually correct?**
|
||||
_`ECPSnapshot` has 10 INFERRED edges - model-reasoned connections that need verification._
|
||||
- **Are the 6 inferred relationships involving `InherenceClassifier` (e.g. with `LocalEmbeddingsAdapter` and `LLMFallbackAdapter`) actually correct?**
|
||||
_`InherenceClassifier` has 6 INFERRED edges - model-reasoned connections that need verification._
|
||||
- **Are the 18 inferred relationships involving `DecisionCategory` (e.g. with `LLMFallbackAdapter` and `InherenceClassifier`) actually correct?**
|
||||
_`DecisionCategory` has 18 INFERRED edges - model-reasoned connections that need verification._
|
||||
- **Why does `ECPSnapshot` connect `ECPSnapshot` to `main`, `InherenceClassifier`, `ClassificationResult`, `test_adversarial.py`, `classifier.py`, `LLMFallbackAdapter`?**
|
||||
_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 4 inferred relationships involving `LLMFallbackAdapter` (e.g. with `ClassificationResult` and `DecisionCategory`) actually correct?**
|
||||
_`LLMFallbackAdapter` has 4 INFERRED edges - model-reasoned connections that need verification._
|
||||
+1
File diff suppressed because one or more lines are too long
+1
File diff suppressed because one or more lines are too long
+1
File diff suppressed because one or more lines are too long
Vendored
+1
-1
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+1332
-356
File diff suppressed because it is too large
Load Diff
@@ -330,9 +330,9 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"src/adapters/llm.py": {
|
||||
"mtime": 1787320797.2485664,
|
||||
"seen": 1787320818.2953389,
|
||||
"ast_hash": "a5cd6f66048ee1d443c2c91ae9947a14",
|
||||
"mtime": 1787321086.752706,
|
||||
"seen": 1787321205.5144775,
|
||||
"ast_hash": "21ac74a13ac5dfad7db498b17165f8b3",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"src/classifier.py": {
|
||||
@@ -654,9 +654,9 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"README.md": {
|
||||
"mtime": 1787320219.5852203,
|
||||
"seen": 1787320239.0933797,
|
||||
"ast_hash": "ce59670fbaebc5e408a30a1009a58d12",
|
||||
"mtime": 1787321187.0812356,
|
||||
"seen": 1787321205.5201268,
|
||||
"ast_hash": "aedfaf7a245288227952a2e28e7e7b13",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"scripts/extract_article_contents.py": {
|
||||
@@ -916,5 +916,11 @@
|
||||
"seen": 1787320818.2967606,
|
||||
"ast_hash": "e5d98de814ceeecd8bd601a7c206e92d",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"tests/test_e2e_text_analysis_pipeline.py": {
|
||||
"mtime": 1787321086.751707,
|
||||
"seen": 1787321205.5156026,
|
||||
"ast_hash": "3a2d47f2ffcf8371ffdf90bb797b5346",
|
||||
"semantic_hash": ""
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user