import sys import unittest from pathlib import Path ROOT = Path(__file__).resolve().parents[1] sys.path.insert(0, str(ROOT / 'server')) from analysis import analyze, ensure_experience_solution, normalize, _review_issue, _buyer_evidence, detect_category, _category_parameter_facts, core_solution_diagnostics, repair_core_solution_with_evidence from renderer import render from server import TASK_JS, task_evidence_summary, task_page class EvidenceOnlyReportTest(unittest.TestCase): def setUp(self): self.analysis = { 'facts': { 'product': {'title': '用户评价·51', 'itemId': '900653753390'}, 'sales': {'sold': '700+', 'currentPrice': '395.25'}, 'attributes': [ {'name': '1024', 'value': '"lg",'}, {'name': 'console.log("onload]', 'value': 'performance.now()'}, {'name': '面料支数', 'value': '60支'}, {'name': '床单面料材质', 'value': '全棉'}, {'name': '适用床尺寸', 'value': '1.2m床三件套'}, ], 'reviews': [ {'content': '2025年4月18日已购：【四件套】测试规格'}, {'content': '花色好看，摸起来很舒服', 'images': ['https://img.alicdn.com/review-rate.jpg'], 'source': 'dom_visible'}, {'content': '1米2床单尺寸小，床边不够'}, ], 'questions': [ {'question': '问大家·5 问 有味道吗 更多回答 问 盖上舒服吗 更多回答'}, {'question': '问 有味道吗 更多回答'}, ], 'collection': { 'reviewCollectionComplete': False, 'publicReviewCount': '51', 'reviewStopReason': 'no_progress_after_4_rounds', 'reviewPagesVisited': 35, }, 'images': {'main': [ 'https://img.alicdn.com/tps-120-60.png', 'https://img.alicdn.com/item_pic.jpg', ], 'detail': [], 'sku': [], 'buyerShow': [], 'all': []}, }, 'experienceSolution': {}, 'meta': {}, } def test_empty_model_result_still_generates_reviewable_report(self): result = ensure_experience_solution(self.analysis) self.assertFalse(result['meta']['fallbackReport']) self.assertTrue(result['meta']['reportReady']) self.assertFalse(result['meta']['reportAuditPassed']) self.assertEqual('needs_review', result['meta']['reportQuality']) self.assertIn('审核未通过', result['meta']['reportNotice']) self.assertEqual('', result['facts']['product']['title']) self.assertEqual(['面料支数', '床单面料材质', '适用床尺寸'], [x['name'] for x in result['facts']['attributes']]) self.assertEqual(2, result['baseline']['reviewCount']) self.assertEqual(2, result['baseline']['questionCount']) cards = result['experienceSolution']['ownerOverview']['cards'] self.assertTrue(cards) self.assertEqual('下一款明确卖点', cards[0]['label']) self.assertIn('ATTR_0003', cards[0]['evidenceIds']) self.assertEqual([], result['experienceSolution']['productExperience']['gates']) html = render(result, 'fixture') self.assertIn('审核未通过', html) def test_analysis_runs_without_model_channel_uses_evidence_fallback(self): raw = dict(self.analysis['facts']) raw['_model_available'] = False result = analyze(raw) self.assertFalse(result['meta']['modelUsed']) self.assertEqual('9.3.0', result['meta']['engineVersion']) self.assertEqual('home_textile', result['meta']['industryTemplate']) self.assertFalse(result['meta']['fallbackReport']) self.assertTrue(result['meta']['reportReady']) self.assertTrue(result['experienceSolution']['reportSummary']['title']) self.assertEqual(7, len(result['roleOutputs'])) def test_historical_fallback_json_is_rejected(self): result = ensure_experience_solution({ 'facts': self.analysis['facts'], 'experienceSolution': {'reportSummary': {'title': '旧报告', 'verdict': '旧结论'}}, 'meta': {'fallbackReport': True}, }) self.assertFalse(result['meta']['reportReady']) self.assertIn('历史分析标记为兜底结果', result['meta']['reportBlockedReason']) def test_dormitory_spec_never_invents_12m_issue_and_title_is_clean(self): facts = { 'product': {'title': '宿舍七件套新生床品-tmall.com天猫', 'itemId': '2'}, 'sales': {'sold': '1万+', 'currentPrice': '637.5'}, 'attributes': [ {'name': '套件组成', 'value': '被芯、床垫、床单、被套、枕芯、枕套、床帘'}, {'name': '适用床尺寸', 'value': '80×190cm、90×190cm、90×200cm；床垫厚4cm/6cm'}, {'name': '面料材质', 'value': '聚酯纤维'}, {'name': '适用人群', 'value': '学生'}, ], 'reviews': [ {'content': '七件配齐，开学直接用，尺寸合适'}, {'content': '枕套实物和页面有色差', 'sku': '90×190cm / 4cm床垫'}, ], 'questions': [], 'images': {}, } clean = normalize(facts);issue = _review_issue(clean) self.assertEqual('宿舍七件套新生床品', clean['product']['title']) self.assertEqual('实物色差', issue['label']) self.assertNotIn('1.2m', str(issue)) self.assertNotIn('1米2', str(issue)) def test_real_12m_comment_keeps_12m_evidence(self): clean = normalize(self.analysis['facts']);issue = _review_issue(clean) self.assertIn('1米2床单尺寸小，床边不够', issue['text']) self.assertEqual('尺寸与床型适配', issue['label']) def test_apparel_uses_dynamic_category_dimensions(self): raw=normalize({'product':{'title':'女士宽松连衣裙'},'attributes':[{'name':'尺码','value':'S M L XL'},{'name':'面料成分','value':'棉 95% 氨纶 5%'},{'name':'版型','value':'宽松'}],'reviews':[{'content':'尺码合身，版型显瘦'}],'images':{}}) route=detect_category(raw) facts=_category_parameter_facts(raw) self.assertEqual('apparel',route['key']) self.assertIn('尺码与适配',[x['label'] for x in facts]) self.assertIn('面料与成分',[x['label'] for x in facts]) self.assertNotIn('套件 BOM',[x['label'] for x in facts]) def test_food_beauty_and_digital_route_to_their_own_dimensions(self): fixtures=[ ('food',{'product':{'title':'坚果零食礼盒'},'attributes':[{'name':'净含量','value':'750g'},{'name':'配料表','value':'坚果'}]}), ('beauty',{'product':{'title':'敏感肌保湿精华'},'attributes':[{'name':'主要成分','value':'透明质酸'},{'name':'适用肤质','value':'敏感肌'}]}), ('digital',{'product':{'title':'无线蓝牙耳机'},'attributes':[{'name':'兼容系统','value':'iOS/Android'},{'name':'续航时间','value':'30小时'}]}), ] for expected,data in fixtures: data.update({'reviews':[],'images':{}}) clean=normalize(data); route=detect_category(clean) self.assertEqual(expected,route['key']) self.assertTrue(_category_parameter_facts(clean)) def test_complete_evidence_backed_ai_output_is_rendered_and_sanitized(self): facts = { 'product': {'title': '全棉三件套-taobao.com淘宝网', 'itemId': '3'}, 'sales': {}, 'attributes': [ {'name': '床单面料材质', 'value': '全棉'}, {'name': '套件组成', 'value': '床单、被套、枕套'}, {'name': '适用床尺寸', 'value': '0.9m床三件套'}, ], 'reviews': [{'content': '摸起来柔软舒服'}], 'questions': [{'question': '会不会起球？'}], 'images': {}, } exp = { 'reportSummary': {'title': '省心型大众爆款，提升转化', 'verdict': '先完成样品验证'}, 'ownerOverview': {'chapterTitle': '页面事实与评论结果已形成', 'cards': [ {'label': '客户为什么购买', 'headline': '决定成交', 'evidenceIds': ['REV_000001']}, {'label': '页面产品定义', 'headline': '全棉三件套', 'evidenceIds': ['ATTR_0001', 'ATTR_0002']}, {'label': '下一款怎么开', 'headline': '先校准规格', 'evidenceIds': ['ATTR_0003']}, ]}, 'customerExperience': { 'chapterTitle': '1 条评论确认柔软触感', 'journeyTitle': '只显示评论已确认结果', 'stats': [{'label': '有效评论', 'value': '1'}], 'stages': [ {'stageNo': '01', 'label': '实际使用', 'positiveConfirmation': '1 条确认柔软舒服', 'evidenceIds': ['REV_000001']}, {'stageNo': '02', 'label': '选择规格', 'positiveConfirmation': '页面标注0.9m床三件套', 'evidenceIds': ['ATTR_0003']}, ], 'signals': {'positive': [], 'questions': [], 'risks': [ {'label': '起球产品缺陷', 'evidenceIds': ['QA_00001']}, ]}, }, 'productExperience': {'chapterTitle': '材质、BOM与床型必须一致', 'parameterFacts': [ {'label': '材质 / 成分', 'value': '全棉', 'evidenceIds': ['ATTR_0001']}, {'label': '套件 BOM', 'value': '床单、被套、枕套', 'evidenceIds': ['ATTR_0002']}, ], 'gates': [ {'priority': 'P0', 'label': '材质核对', 'action': '核对标签与样品', 'evidenceIds': ['ATTR_0001']}, {'priority': 'P0', 'label': '规格实测', 'action': '按0.9m床铺装', 'evidenceIds': ['ATTR_0003']}, ]}, 'newProductPlans': {'plans': [ {'type': '主销款', 'name': '主销', 'positioning': '保持全棉三件套定义', 'evidenceIds': ['ATTR_0001']}, {'name': '无证据升级', 'evidenceIds': []}, {'type': '升级款', 'name': '第三套', 'positioning': '按BOM校准', 'evidenceIds': ['ATTR_0002']}, ], 'chapterTitle': '只输出有证据的开品方向'}, 'validationLoop': {'chapterTitle': '三道验证门决定是否上架', 'rows': [ {'stage': '商品定义', 'owner': '商品企划 / 商品运营', 'metrics': '核对定义', 'successMeaning': '参数一致', 'nextAction': '进入打样', 'evidenceIds': ['ATTR_0001']}, {'stage': '规格实测', 'owner': '供应链 / 品控', 'metrics': '实床铺装', 'successMeaning': '规格适配', 'nextAction': '锁定SKU', 'evidenceIds': ['ATTR_0003']}, {'stage': '页面验收', 'owner': '视觉与内容', 'metrics': '核对页面', 'successMeaning': '页面一致', 'nextAction': '上架', 'evidenceIds': ['ATTR_0002']}, ]}, } result = ensure_experience_solution({'facts': facts, 'experienceSolution': exp, 'meta': {}}) output = str(result['experienceSolution']) labels = [x['label'] for x in result['experienceSolution']['productExperience']['parameterFacts']] signals = result['experienceSolution']['customerExperience']['signals'] self.assertTrue(result['meta']['reportReady']) self.assertEqual('全棉三件套', result['facts']['product']['title']) self.assertIn('套件 BOM', labels) self.assertIn('材质 / 成分', labels) self.assertEqual([], signals['risks']) self.assertTrue(signals['questions'][0]['label'].startswith('购买前关注：')) self.assertEqual(2, len(result['experienceSolution']['newProductPlans']['plans'])) self.assertNotIn('无证据升级', output) self.assertNotIn('项目负责人', output) self.assertNotIn('客户为什么购买', output) self.assertNotIn('提升转化', output) self.assertNotIn('决定成交', output) self.assertNotIn('爆款', output) doc = render(result, 'evidence-only') self.assertIn('window.REPORT_DATA=', doc) self.assertIn('Sansong Product Intelligence V9.3.0', doc) self.assertIn('', doc) self.assertNotIn('项目负责人', doc) def test_incomplete_final_editor_output_is_repaired_from_real_evidence(self): facts = { 'product': {'title': '学生宿舍全棉三件套', 'itemId': 'repair-1'}, 'sales': {'sold': '1000+', 'currentPrice': '129'}, 'attributes': [ {'name': '床单面料材质', 'value': '全棉'}, {'name': '套件组成', 'value': '床单、被套、枕套'}, {'name': '适用床尺寸', 'value': '0.9m床三件套'}, {'name': '产品等级', 'value': '合格品'}, ], 'reviews': [ {'content': '面料柔软，尺寸合适'}, {'content': '花色好看，宿舍床铺上正好'}, ], 'questions': [{'question': '洗后会不会缩水？'}], 'images': {}, } repaired = repair_core_solution_with_evidence({}, facts) result = ensure_experience_solution({'facts': facts, 'experienceSolution': repaired, 'meta': {}}) self.assertTrue(result['meta']['reportReady']) self.assertTrue(result['meta']['reportValidation']['ok']) self.assertEqual([], result['meta']['reportValidation']['missing']) self.assertFalse(result['meta']['fallbackReport']) self.assertIn('evidenceIds', result['experienceSolution']['validationLoop']['rows'][0]) def test_legacy_grouped_images_are_preserved_without_strict_provenance(self): raw={ 'product':{'title':'测试商品','itemId':'1'}, 'reviews':[], 'images':{ 'main':['https://img.alicdn.com/item_pic.jpg'], 'detail':['https://img.alicdn.com/detail_01.jpg'], 'sku':['https://img.alicdn.com/sku_01.jpg'], 'buyerShow':[] } } clean=normalize(raw) self.assertEqual(['https://img.alicdn.com/item_pic.jpg'], clean['images']['main']) self.assertEqual(['https://img.alicdn.com/detail_01.jpg'], clean['images']['detail']) self.assertEqual(['https://img.alicdn.com/sku_01.jpg'], clean['images']['sku']) self.assertEqual('legacy-review-only', clean['images']['classification']['version']) sources={x['group']:x['source'] for x in clean['images']['provenance'] if x['group'] in ('main','detail','sku')} self.assertEqual('legacy_group_main', sources['main']) self.assertEqual('legacy_group_detail', sources['detail']) self.assertEqual('legacy_group_sku', sources['sku']) def test_validation_reports_exact_missing_fields(self): validation = core_solution_diagnostics({'reportSummary': {'title': '有标题'}}) self.assertFalse(validation['ok']) self.assertNotIn('reportSummary.title', validation['missing']) self.assertIn('reportSummary.verdict', validation['missing']) self.assertIn('validationLoop.rows', validation['missing']) def test_task_progress_exposes_real_evidence_counts(self): raw = self.analysis['facts'] summary = task_evidence_summary(raw) self.assertEqual(3, summary['counts']['parameters']) self.assertEqual(2, summary['counts']['reviews']) self.assertEqual(1, summary['counts']['main']) self.assertEqual(0, summary['counts']['detail']) self.assertEqual(1, summary['counts']['buyerShow']) self.assertEqual('51', summary['publicReviewCount']) self.assertFalse(summary['reviewComplete']) page = task_page('fixture') self.assertIn('本次证据', page) self.assertIn('生成进度', page) self.assertIn('evidenceStats', page) self.assertIn("not_collected:'未采到'", TASK_JS) self.assertIn("visual:'商品主图核验'", TASK_JS) self.assertIn("detail:'商品详情图核验'", TASK_JS) self.assertIn("editor:'最终报告汇总与校验'", TASK_JS) self.assertIn("failed:'失败'", TASK_JS) self.assertNotIn("visual:'主图成交'", TASK_JS) def test_strict_image_groups_are_disjoint_and_traceable(self): shared = 'https://img.alicdn.com/shared-review.jpg' buyer_two = 'https://img.alicdn.com/second-review.jpg' main = 'https://img.alicdn.com/verified-main.jpg' structured_main = 'https://img.alicdn.com/structured-main.jpg' detail = 'https://img.alicdn.com/verified-detail.jpg' structured_detail = 'https://img.alicdn.com/structured-detail.jpg' facts = { 'meta': {'imageClassificationVersion': 'strict-v1'}, 'product': {'title': '真实商品标题', 'itemId': '1'}, 'sales': {}, 'attributes': [], 'questions': [], 'reviews': [{'content': '评论原文', 'images': [shared, buyer_two], 'source': 'dom_visible'}], 'images': { 'main': [shared, main, structured_main], 'detail': [shared, detail, structured_detail], 'sku': [], 'buyerShow': [shared, buyer_two], 'provenance': [ {'url': shared, 'group': 'buyerShow', 'source': 'review_record'}, {'url': buyer_two, 'group': 'buyerShow', 'source': 'review_record'}, {'url': shared, 'group': 'main', 'source': 'dom_main_gallery'}, {'url': main, 'group': 'main', 'source': 'dom_main_gallery'}, {'url': structured_main, 'group': 'main', 'source': 'structured_main_gallery'}, {'url': detail, 'group': 'detail', 'source': 'dom_product_description'}, {'url': structured_detail, 'group': 'detail', 'source': 'structured_product_description'}, ], }, } clean = normalize(facts) groups = clean['images'] self.assertEqual([shared, buyer_two], groups['buyerShow']) self.assertEqual([main, structured_main], groups['main']) self.assertEqual([detail, structured_detail], groups['detail']) self.assertTrue(groups['classification']['groupsAreDisjoint']) self.assertEqual(6, len(set(groups['buyerShow'] + groups['main'] + groups['detail']))) buyer_items = _buyer_evidence(clean) buyer = buyer_items[0] self.assertEqual('REV_000001', buyer['reviewEvidenceId']) self.assertEqual(2, len(buyer_items)) if __name__ == '__main__': unittest.main()