// // Copyright 2026 The InfiniFlow Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // package task import ( "encoding/json" "reflect" "testing" "ragflow/internal/entity" pipelinepkg "ragflow/internal/ingestion/pipeline" ) // builtinComponentParamsGolden holds hardcoded golden values of // pipeline.ComponentParamsDefaults for every built-in ingestion template. // Each entry is the compact JSON serialization of the resolved default // component params (the "outputs" wire key is already excluded). // // These are NOT derived at runtime: they pin the exact default params that // each template's DSL currently bakes in. If a template's DSL default values // change, the matching entry here MUST be updated in lockstep, otherwise the // corresponding test method fails and flags the regression. // // Comparison is done per-component (see assertComponentsMatch), so the JSON // serialization order inside each entry is irrelevant. var builtinComponentParamsGolden = map[string]string{ "audio": "{\"File\": {}, \"Parser:SongsFillAir\": {\"audio\": {\"output_format\": \"text\", \"preprocess\": [\"main_content\"], \"suffix\": [\"aac\", \"aiff\", \"ape\", \"au\", \"da\", \"flac\", \"midi\", \"mp3\", \"ogg\", \"oggvorbis\", \"realaudio\", \"vqf\", \"wav\", \"wave\", \"wma\"]}}, \"TokenChunker:BlueSkiesLaugh\": {}, \"Tokenizer:KindEyesWatch\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "book": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"doc\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"doc\"]}, \"docx\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"docx\"], \"vlm\": {}}, \"html\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"htm\", \"html\"]}, \"pdf\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"remove_toc\": true, \"suffix\": [\"pdf\"], \"vlm\": {}}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\"]}}, \"TitleChunker:GrumpyGarlicsBake\": {\"hierarchy\": 5, \"include_heading_content\": true, \"levels\": [[\"^#[^#]\", \"^##[^#]\", \"^###[^#]\", \"^####[^#]\"], [\"第[零一二三四五六七八九十百0-9]+(分?编|部分)\", \"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"第[零一二三四五六七八九十百0-9]+条\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\"], [\"第[0-9]+章\", \"第[0-9]+节\", \"[0-9]{1,2}[\\\\. 、]\", \"[0-9]{1,2}\\\\.[0-9]{1,2}($|[^a-zA-Z/%~.-])\", \"[0-9]{1,2}\\\\.[0-9]{1,2}\\\\.[0-9]{1,2}\"], [\"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"[零一二三四五六七八九十百]+[ 、]\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\", \"[\\\\(（][0-9]{,2}[\\\\)）]\"], [\"PART (ONE|TWO|THREE|FOUR|FIVE|SIX|SEVEN|EIGHT|NINE|TEN)\", \"Chapter (I+V?|VI*|XI|IX|X)\", \"Section [0-9]+\", \"Article [0-9]+\"]], \"method\": \"hierarchy\"}, \"Tokenizer:HotDonutsRing\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "email": "{\"File\": {}, \"Parser:BirdsFlutterHigh\": {\"email\": {\"fields\": [\"from\", \"to\", \"cc\", \"bcc\", \"date\", \"subject\", \"body\", \"attachments\"], \"output_format\": \"text\", \"preprocess\": [\"main_content\"], \"suffix\": [\"eml\"]}}, \"TokenChunker:WarmBreadSmells\": {\"children_delimiters\": [], \"chunk_token_size\": 512, \"delimiter_mode\": \"token_size\", \"delimiters\": [\"\\n\", \"!\", \"?\", \"。\", \"；\", \"！\", \"？\"], \"image_context_size\": 0, \"overlapped_percent\": 0, \"table_context_size\": 0}, \"Tokenizer:NiceWordsSpoken\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "general": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"doc\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"doc\"]}, \"docx\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"docx\"], \"vlm\": {}}, \"html\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"htm\", \"html\"]}, \"markdown\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"md\", \"markdown\", \"mdx\"], \"vlm\": {}}, \"pdf\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pdf\"], \"vlm\": {}}, \"spreadsheet\": {\"flatten_media_to_text\": false, \"output_format\": \"html\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"xls\", \"xlsx\", \"csv\"], \"vlm\": {}}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\", \"py\", \"js\", \"java\", \"c\", \"cpp\", \"h\", \"php\", \"go\", \"ts\", \"sh\", \"cs\", \"kt\", \"sql\"]}}, \"TokenChunker:SixApplesFall\": {\"children_delimiters\": [], \"chunk_token_size\": 512, \"delimiter_mode\": \"token_size\", \"delimiters\": [\"\\n\", \"!\", \"?\", \"。\", \"；\", \"！\", \"？\"], \"image_context_size\": 0, \"overlapped_percent\": 0, \"table_context_size\": 0}, \"Tokenizer:LegalReadersDecide\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "laws": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"doc\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"doc\"]}, \"docx\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"docx\"], \"vlm\": {}}, \"html\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"htm\", \"html\"]}, \"markdown\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"md\", \"markdown\", \"mdx\"], \"vlm\": {}}, \"pdf\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"remove_toc\": true, \"suffix\": [\"pdf\"], \"vlm\": {}}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\"]}}, \"TitleChunker:SpicyKeysKick\": {\"hierarchy\": 2, \"include_heading_content\": false, \"levels\": [[\"^#[^#]\", \"^##[^#]\", \"^###[^#]\", \"^####[^#]\"], [\"第[零一二三四五六七八九十百0-9]+(分?编|部分)\", \"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"第[零一二三四五六七八九十百0-9]+条\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\"], [\"第[0-9]+章\", \"第[0-9]+节\", \"[0-9]{1,2}[\\\\. 、]\", \"[0-9]{1,2}\\\\.[0-9]{1,2}($|[^a-zA-Z/%~.-])\", \"[0-9]{1,2}\\\\.[0-9]{1,2}\\\\.[0-9]{1,2}\"], [\"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"[零一二三四五六七八九十百]+[ 、]\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\", \"[\\\\(（][0-9]{,2}[\\\\)）]\"], [\"PART (ONE|TWO|THREE|FOUR|FIVE|SIX|SEVEN|EIGHT|NINE|TEN)\", \"Chapter (I+V?|VI*|XI|IX|X)\", \"Section [0-9]+\", \"Article [0-9]+\"]], \"method\": \"hierarchy\"}, \"Tokenizer:PublicJobsTake\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "manual": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"doc\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"doc\"]}, \"docx\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"docx\"], \"vlm\": {}}, \"pdf\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pdf\"], \"vlm\": {}}}, \"TitleChunker:NineInsectsFind\": {\"hierarchy\": 0, \"include_heading_content\": false, \"levels\": [[\"^#[^#]\", \"^##[^#]\", \"^###[^#]\", \"^####[^#]\"], [\"第[零一二三四五六七八九十百0-9]+(分?编|部分)\", \"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"第[零一二三四五六七八九十百0-9]+条\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\"], [\"第[0-9]+章\", \"第[0-9]+节\", \"[0-9]{1,2}[\\\\. 、]\", \"[0-9]{1,2}\\\\.[0-9]{1,2}($|[^a-zA-Z/%~.-])\", \"[0-9]{1,2}\\\\.[0-9]{1,2}\\\\.[0-9]{1,2}\"], [\"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"[零一二三四五六七八九十百]+[ 、]\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\", \"[\\\\(（][0-9]{,2}[\\\\)）]\"], [\"PART (ONE|TWO|THREE|FOUR|FIVE|SIX|SEVEN|EIGHT|NINE|TEN)\", \"Chapter (I+V?|VI*|XI|IX|X)\", \"Section [0-9]+\", \"Article [0-9]+\"]], \"method\": \"group\"}, \"Tokenizer:FunnyBalloonsGrin\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "one": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"doc\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"doc\"]}, \"docx\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"docx\"], \"vlm\": {}}, \"html\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"htm\", \"html\"]}, \"markdown\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"md\", \"markdown\", \"mdx\"], \"vlm\": {}}, \"pdf\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pdf\"], \"vlm\": {}}, \"spreadsheet\": {\"flatten_media_to_text\": false, \"output_format\": \"html\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"xls\", \"xlsx\"], \"vlm\": {}}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\"]}}, \"OneChunker:DryDrinksVisit\": {}, \"Tokenizer:FrankWeeksListen\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "paper": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"pdf\": {\"enable_multi_column\": true, \"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pdf\"], \"vlm\": {}}}, \"TitleChunker:SparklySchoolsTravel\": {\"hierarchy\": 0, \"include_heading_content\": false, \"levels\": [[\"^#[^#]\", \"^##[^#]\", \"^###[^#]\", \"^####[^#]\"], [\"第[零一二三四五六七八九十百0-9]+(分?编|部分)\", \"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"第[零一二三四五六七八九十百0-9]+条\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\"], [\"第[0-9]+章\", \"第[0-9]+节\", \"[0-9]{1,2}[\\\\. 、]\", \"[0-9]{1,2}\\\\.[0-9]{1,2}($|[^a-zA-Z/%~.-])\", \"[0-9]{1,2}\\\\.[0-9]{1,2}\\\\.[0-9]{1,2}\"], [\"第[零一二三四五六七八九十百0-9]+章\", \"第[零一二三四五六七八九十百0-9]+节\", \"[零一二三四五六七八九十百]+[ 、]\", \"[\\\\(（][零一二三四五六七八九十百]+[\\\\)）]\", \"[\\\\(（][0-9]{,2}[\\\\)）]\"], [\"PART (ONE|TWO|THREE|FOUR|FIVE|SIX|SEVEN|EIGHT|NINE|TEN)\", \"Chapter (I+V?|VI*|XI|IX|X)\", \"Section [0-9]+\", \"Article [0-9]+\"]], \"method\": \"group\"}, \"Tokenizer:GreatCarsWash\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "picture": "{\"File\": {}, \"Parser:ViewsCaptureLight\": {\"image\": {\"output_format\": \"text\", \"parse_method\": \"ocr\", \"preprocess\": [\"main_content\"], \"suffix\": [\"bmp\", \"gif\", \"jpeg\", \"jpg\", \"png\", \"svg\", \"tif\", \"tiff\", \"webp\"]}, \"video\": {\"output_format\": \"text\", \"preprocess\": [\"main_content\"], \"suffix\": [\"3gp\", \"3gpp\", \"avi\", \"flv\", \"mkv\", \"mov\", \"mp4\", \"mpeg\", \"mpg\", \"webm\", \"wmv\"]}}, \"TokenChunker:BrightColorsGlow\": {}, \"Tokenizer:SharpLensFocus\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "presentation": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"pdf\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pdf\"], \"vlm\": {}}, \"slides\": {\"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pptx\", \"ppt\"]}}, \"Tokenizer:TallTreesDance\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"PresentationChunker:HappyHillsGlow\": {}, \"Extractor:AutoExtractDefault\": {\"field_name\": \"\", \"auto_keywords\": 0, \"auto_questions\": 0, \"llm_id\": \"\", \"auto_tags\": 0}}", "qa": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"docx\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"docx\"], \"vlm\": {}}, \"markdown\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"md\", \"markdown\", \"mdx\"], \"vlm\": {}}, \"pdf\": {\"flatten_media_to_text\": false, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pdf\"], \"vlm\": {}}, \"spreadsheet\": {\"flatten_media_to_text\": false, \"output_format\": \"html\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"xls\", \"xlsx\", \"csv\"], \"vlm\": {}}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\"]}}, \"Tokenizer:ColdCloudsDream\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}, \"QAChunker:TidyCloudsThink\": {}}", "resume": "{\"Extractor:ThreeDrinksAct\": {\"field_name\": \"metadata\", \"frequencyPenaltyEnabled\": true, \"frequency_penalty\": 0.7, \"llm_id\": \"THUDM/GLM-4.1V-9B-Thinking@SILICONFLOW\", \"maxTokensEnabled\": false, \"max_tokens\": 256, \"presencePenaltyEnabled\": true, \"presence_penalty\": 0.4, \"prompts\": [{\"content\": \"Content: {TitleChunker:FlatMiceFix@chunks}\", \"role\": \"user\"}], \"sys_prompt\": \"Act as a precise resume metadata extractor. Extract stable, chunk-supported metadata from the provided resume content.\\n\\nRules:\\n1. Use only information explicitly stated in the content. Do not infer, guess, normalize, or add missing facts.\\n2. The input may be only one chunk of a resume. Extract only what this content directly supports.\\n3. Use only these field names:\\ncandidate_name, gender, phone, email, city, location, nationality, linkedin, github, website, highest_degree, degree_levels, school_names, majors, graduation_years, work_experience_years, current_job_title, job_titles, company_names, job_experience, industries, target_job_titles, target_locations, employment_types, skills, certificates, awards, summary_tags\\n4. Ignore detailed responsibilities, project descriptions, achievement narratives, self-evaluation, and other low-value local details.\\n5. Keep values in the same language as the source text whenever possible.\\n6. Remove duplicates and keep only concise, high-value metadata.\\n7. Return only fields that are explicitly supported by the content. Do not return empty or unsupported fields.\\n\\nField guidance:\\n- highest_degree: highest explicit degree level mentioned\\n- degree_levels: all explicit degree levels mentioned\\n- school_names: explicit school, college, or university names\\n- majors: explicit fields of study\\n- graduation_years: explicit graduation years only\\n- work_experience_years: only if explicitly stated\\n- current_job_title: only if explicitly current or most recent\\n- job_titles: explicit role titles\\n- company_names: explicit employer names\\n- job_experience: concise structured work entries explicitly supported by the content, preferably including title, company, and time information when available\\n- industries: explicit industry names only\\n- target_job_titles: explicit desired roles only\\n- target_locations: explicit desired work locations only\\n- skills: concise, core, search-useful skills explicitly mentioned\\n- certificates: explicit certificate names only\\n- awards: explicit award names only\\n- summary_tags: short, high-value tags strictly supported by the content\\n\\nReturn only the extracted metadata. Do not output explanatory text.\", \"temperature\": 0.1, \"temperatureEnabled\": true, \"tenant_llm_id\": 29, \"topPEnabled\": true, \"top_p\": 0.3, \"auto_keywords\": 0, \"auto_questions\": 0, \"auto_tags\": 0}, \"File\": {}, \"Parser:HipSignsRhyme\": {\"docx\": {\"flatten_media_to_text\": true, \"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"docx\"], \"vlm\": {}}, \"pdf\": {\"flatten_media_to_text\": true, \"output_format\": \"json\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"pdf\"], \"vlm\": {}}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\"]}}, \"TitleChunker:FlatMiceFix\": {\"hierarchy\": 1, \"include_heading_content\": false, \"levels\": [[\"^\\\\s*(?i:(?:\\\\d+[\\\\.\\\\)]\\\\s*)?(?:EDUCATION|ACADEMIC\\\\s*BACKGROUND|ACADEMIC\\\\s*HISTORY|EDUCATIONAL\\\\s*BACKGROUND|RELEVANT\\\\s*COURSEWORK|COURSEWORK|EXPERIENCE|WORK\\\\s*EXPERIENCE|PROFESSIONAL\\\\s*EXPERIENCE|RELEVANT\\\\s*EXPERIENCE|EMPLOYMENT\\\\s*HISTORY|CAREER\\\\s*HISTORY|INTERNSHIP\\\\s*EXPERIENCE|PROJECTS|PROJECT\\\\s*EXPERIENCE|ACADEMIC\\\\s*PROJECTS|PROFESSIONAL\\\\s*PROJECTS|SKILLS|TECHNICAL\\\\s*SKILLS|CORE\\\\s*COMPETENCIES|COMPETENCIES|QUALIFICATIONS|SUMMARY\\\\s*OF\\\\s*QUALIFICATIONS|CERTIFICATIONS|LICENSES|CERTIFICATES|AWARDS|HONORS|HONOURS|ACHIEVEMENTS|PUBLICATIONS|RESEARCH|RESEARCH\\\\s*EXPERIENCE|LEADERSHIP|LEADERSHIP\\\\s*EXPERIENCE|ACTIVITIES|EXTRACURRICULAR\\\\s*ACTIVITIES|ACTIVITIES\\\\s*(?:&|AND)\\\\s*SKILLS|INVOLVEMENT|CAMPUS\\\\s*INVOLVEMENT|VOLUNTEER\\\\s*EXPERIENCE|VOLUNTEERING|COMMUNITY\\\\s*SERVICE|LANGUAGES|INTERESTS|HOBBIES|PROFILE|PROFESSIONAL\\\\s*PROFILE|SUMMARY|PROFESSIONAL\\\\s*SUMMARY|CAREER\\\\s*SUMMARY|OBJECTIVE|CAREER\\\\s*OBJECTIVE|PERSONAL\\\\s*INFORMATION|CONTACT\\\\s*INFORMATION|ADDITIONAL\\\\s*INFORMATION|TRAINING))\\\\s*[:：]?\\\\s*$\"], [\"^\\\\s*(?:\\\\d+[\\\\.、\\\\)]\\\\s*)?(?:教育背景|教育经历|学历背景|学术背景|技术背景|工作经历|工作经验|实习经历|项目经历|项目经验|科研经历|研究经历|校园经历|实践经历|专业经历|职业经历|技能|专业技能|技能特长|核心技能|技术栈|个人技能|工作技能|职业技能|技能与评价|技能与自我评价|工作技能与自我评价|职业技能与自我评价|证书|资格证书|职业资格|资质证书|获奖情况|获奖经历|荣誉|荣誉奖项|奖项|科研成果|论文发表|发表论文|领导经历|学生工作|校园活动|社团经历|活动经历|志愿经历|志愿服务|社会实践|语言能力|语言|自我评价|个人评价|自我总结|个人总结|个人优势|个人简介|个人信息|基本信息|联系方式|求职意向|应聘意向|职业目标|求职目标|兴趣爱好|兴趣特长|培训经历|其他信息|附加信息)\\\\s*[:：]?\\\\s*$\"]], \"method\": \"hierarchy\"}, \"Tokenizer:KindHandsWin\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}}", "table": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"spreadsheet\": {\"flatten_media_to_text\": false, \"output_format\": \"html\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"xls\", \"xlsx\", \"csv\"], \"vlm\": {}, \"column_mode\": \"auto\", \"column_roles\": {}, \"column_names\": []}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\"]}}, \"TableChunker:FastFoxesJump\": {}, \"Tokenizer:DeepLakesShine\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}}", "tag": "{\"File\": {}, \"Parser:HipSignsRhyme\": {\"spreadsheet\": {\"flatten_media_to_text\": false, \"output_format\": \"html\", \"parse_method\": \"DeepDOC\", \"preprocess\": [\"main_content\"], \"suffix\": [\"xls\", \"xlsx\", \"csv\"], \"vlm\": {}}, \"text&code\": {\"output_format\": \"json\", \"preprocess\": [\"main_content\"], \"suffix\": [\"txt\"]}}, \"TagChunker:NewNoonsGlow\": {}, \"Tokenizer:OldOwlsWatch\": {\"fields\": \"text\", \"filename_embd_weight\": 0.1, \"search_method\": [\"embedding\", \"full_text\"]}}", } // Per-template test methods. Each resolves default component params from a // built-in template DSL and verifies: (1) they match the hardcoded golden, // (2) they survive a JSON round-trip through entity.JSONMap (DB storage). func TestBuildComponentParams_Audio(t *testing.T) { assertTemplateComponentParams(t, "audio") } func TestBuildComponentParams_Book(t *testing.T) { assertTemplateComponentParams(t, "book") } func TestBuildComponentParams_Email(t *testing.T) { assertTemplateComponentParams(t, "email") } func TestBuildComponentParams_General(t *testing.T) { assertTemplateComponentParams(t, "general") } func TestBuildComponentParams_Laws(t *testing.T) { assertTemplateComponentParams(t, "laws") } func TestBuildComponentParams_Manual(t *testing.T) { assertTemplateComponentParams(t, "manual") } func TestBuildComponentParams_One(t *testing.T) { assertTemplateComponentParams(t, "one") } func TestBuildComponentParams_Paper(t *testing.T) { assertTemplateComponentParams(t, "paper") } func TestBuildComponentParams_Picture(t *testing.T) { assertTemplateComponentParams(t, "picture") } func TestBuildComponentParams_Presentation(t *testing.T) { assertTemplateComponentParams(t, "presentation") } func TestBuildComponentParams_Qa(t *testing.T) { assertTemplateComponentParams(t, "qa") } func TestBuildComponentParams_Resume(t *testing.T) { assertTemplateComponentParams(t, "resume") } func TestBuildComponentParams_Table(t *testing.T) { assertTemplateComponentParams(t, "table") } func TestBuildComponentParams_Tag(t *testing.T) { assertTemplateComponentParams(t, "tag") } // assertTemplateComponentParams resolves the default component params for the // given built-in template and verifies two layers per-component: // // 1. Layer 1 (DSL parse): pipeline.ComponentParamsDefaults returns exactly the // hardcoded golden. // 2. Layer 2 (storage round-trip): the parsed result survives JSON // marshal→entity.JSONMap→unmarshal, simulating the GORM DB round-trip that // runPipelineWithDSL's parserConfig reads from Doc.ParserConfig. func assertTemplateComponentParams(t *testing.T, ref string) { t.Helper() got, want := loadTemplateDefaults(t, ref) // Layer 1: parsed defaults match the golden per-component. assertComponentsMatch(t, "Layer1 parse", got, want) // Layer 2: defaults survive a JSON round-trip through entity.JSONMap // (the DB storage format — GORM deserializes into map[string]any, then // runPipelineWithDSL reads it back as map[string]interface{}). raw, err := json.Marshal(got) if err != nil { t.Fatalf("marshal %q: %v", ref, err) } var stored entity.JSONMap if err := json.Unmarshal(raw, &stored); err != nil { t.Fatalf("unmarshal into JSONMap %q: %v", ref, err) } var roundTripped map[string]map[string]any if err := json.Unmarshal(raw, &roundTripped); err != nil { t.Fatalf("unmarshal back %q: %v", ref, err) } assertComponentsMatch(t, "Layer2 round-trip", roundTripped, got) } // loadTemplateDefaults loads the builtin DSL for ref, parses the default // component params, and returns both the parsed result and the hardcoded // golden expectation. func loadTemplateDefaults(t *testing.T, ref string) (got, want map[string]map[string]any) { t.Helper() golden, ok := builtinComponentParamsGolden[ref] if !ok { t.Fatalf("missing golden entry for template %q", ref) } if err := json.Unmarshal([]byte(golden), &want); err != nil { t.Fatalf("unmarshal golden %q: %v", ref, err) } dsl, err := pipelinepkg.LoadBuiltinDSL(ref) if err != nil { t.Fatalf("load builtin DSL %q: %v", ref, err) } got, err = pipelinepkg.ComponentParamsDefaults([]byte(dsl)) if err != nil { t.Fatalf("ComponentParamsDefaults %q: %v", ref, err) } return } func assertComponentsMatch(t *testing.T, label string, got, want map[string]map[string]any) { t.Helper() for cpnID := range got { if _, ok := want[cpnID]; !ok { t.Errorf("[%s] unexpected component %q", label, cpnID) } } for cpnID, wantParams := range want { t.Run(cpnID, func(t *testing.T) { gotParams, ok := got[cpnID] if !ok { t.Errorf("[%s] missing component %q", label, cpnID) return } if !reflect.DeepEqual(gotParams, wantParams) { t.Errorf("[%s] component %q params mismatch\n got=%#v\nwant=%#v", label, cpnID, gotParams, wantParams) } }) } } // TestBuildComponentParams_GoldenCoversAllTemplates keeps the hardcoded golden // table in lockstep with the built-in template registry. A renamed or added // template must get a matching golden entry, and a removed template must drop // its entry, otherwise this test fails. ("naive" is an alias for "general" and // is intentionally not a separate file/template.) func TestBuildComponentParams_GoldenCoversAllTemplates(t *testing.T) { reg, err := pipelinepkg.DefaultRegistry() if err != nil { t.Fatalf("builtin registry: %v", err) } refs := reg.Refs() if len(refs) == 0 { t.Fatal("builtin registry returned no templates") } if len(refs) != len(builtinComponentParamsGolden) { t.Fatalf("golden table has %d entries but registry has %d templates: %v", len(builtinComponentParamsGolden), len(refs), refs) } refSet := make(map[string]struct{}, len(refs)) for _, r := range refs { refSet[r] = struct{}{} } for g := range builtinComponentParamsGolden { if _, ok := refSet[g]; !ok { t.Errorf("golden entry %q has no matching builtin template", g) } } }