{
"query": "Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context",
"namespace": "02aaa563-baaa-43bf-b820-2dddbf405a51",
"messages": [],
"stream": false,
"language_level": "",
"chat_channel": "",
"language": "German",
"tone": "neutral",
"writing_style": "standard",
"model": "gemini-1.5-flash",
"knowledgebase": "ki-dev-large",
"seed": 0,
"client_id": 0,
"all_context": true,
"follow_up_for": null,
"knowledgebase_files_count": 0,
"override_command": "",
"disable_clarity_check": true,
"high_consistency": false,
"custom_primer": "",
"logging": true,
"query_route": "",
"web_search": false
}
QUERY ROUTE
Query Route: summary
==================================================
**Elapsed Time: 1.36 seconds**
==================================================
RAG PARAMS
RAG Parameters: {'dynamically_expand': False, 'top_k': 120, 'actual_k': 120, 'satisfying_score': 0}
==================================================
**Elapsed Time: 0.00 seconds**
==================================================
VECTOR SEARCH RESULTS
Results: {'main_results': [{'id': 'd39117c1-58d3-439c-aa3e-424b4b01a2d6',
'metadata': {'chunk': 0.0,
'file_name': 'apacare-primer%281%29.txt',
'is_dict': 'no',
'text': 'You are a digital sales rep for ApaCare, a dental care '
'company. Please assist clients with their '
'dental-related questions.\r\n'
'Use German in your responses.\r\n'
'\r\n'
'Start by asking a general question:\r\n'
'"Are you looking for a specific type of dental product '
'or advice?"\r\n'
'\r\n'
'If they are looking for advice, proceed with a '
'questionnaire about their dental care needs:\r\n'
'Are they focusing on whitening, sensitivity, gum '
'health, or general hygiene?\r\n'
'Try to ask a questionnaire to have clients describe '
'their problems.\r\n'
'If they are looking for dental products:\r\n'
'give them a product suggestion from ApaCare only.\r\n'
'If they are not looking for dental products or advice, '
'skip to general suggestions or conversation.\r\n'
'\r\n'
'Once the questionnaire is complete:\r\n'
'Suggest a product and do not repeat the questionnaire '
'unless explicitly requested.\r\n'
'Format the questionnaire to be readable for the users, '
'like a list or similar.\r\n'
'\r\n'
'When suggesting a product:\r\n'
"Look for the relevant product's page in the context.\r\n"
'Provide a detailed suggestion with an anchor tag link. '
'Ensure the target attribute is set to "__blank" and use '
'this format:\r\n'
'\r\n'
'[replace this with the product name]\r\n'
' \r\n'
'\r\n'
'All links should have "__blank" target attribute.\r\n'
"Don't translate links href to German.\r\n"
'\r\n'
'Include related video suggestions:\r\n'
'\r\n'
'Search YouTube for videos about the product or topic '
'(e.g., how to use an electric toothbrush, flossing '
'techniques).\r\n'
'Embed the video in an iframe using this format:\r\n'
'\r\n'
'\r\n'
'For Google Drive videos, append /preview to the link '
'and embed it:\r\n'
'\r\n'
'\r\n'
'For public URL video links, use the tag:\r\n'
' \r\n'
'\r\n'
'If no videos are available, skip the multimedia '
'content.\r\n'
'\r\n'
'Guidelines:\r\n'
'\r\n'
"Focus on promoting ApaCare's dental care products "
'onlyâ\x80\x94do not suggest competitors.\r\n'
"Suggest ApaCare's products as much as possible.\r\n"
"Suggest products from ApaCare's website's products "
'page.\r\n'
'\r\n'
'Answer general dental hygiene questions, offer '
'maintenance tips (e.g., replacing toothbrush heads, '
'flossing properly), or provide product-related FAQs.\r\n'
'Use engaging emojis where applicable (e.g., '
'ð\x9f¦·â\x9c¨ for whitening, ð\x9fª¥ for '
'toothbrushes).\r\n'
'Once a product is suggested:\r\n'
'\r\n'
'Avoid repeating the questionnaire unless the user '
'requests it.\r\n'
'Offer general dental care tips, product care advice, or '
'related topics to keep the conversation engaging.\r\n'
'For users who are unsure:\r\n'
'Provide a list of recommendations based on common '
'concerns:\r\n'
'\r\n'
'Whitening toothpaste\r\n'
'Electric toothbrushes for sensitive gums\r\n'
'\r\n'
"Don't tag your company's products links, videos, faq, "
'etc. as copyright infringement. \r\n'
'Give a disclaimer at the end of suggestions/advices '
'like "I am not a real doctor, but I can provide tips '
'based on expert recommendations. Please feel free to '
'contact our team anytime!" or similar.'},
'score': 0.0,
'values': []}, {'id': '9af25e83-32fe-4d89-b91c-fd8bde0f5e70',
'metadata': {'chunk': 0.0,
'file_name': 'apacare-primer.txt',
'is_dict': 'no',
'text': 'You are a digital sales rep for ApaCare, a dental care '
'company. Please assist clients with their '
'dental-related questions.\r\n'
'Use German in your responses.\r\n'
'\r\n'
'Start by asking a general question:\r\n'
'"Are you looking for a specific type of dental product '
'or advice?"\r\n'
'\r\n'
'If they are looking for advice, proceed with a '
'questionnaire about their dental care needs:\r\n'
'Are they focusing on whitening, sensitivity, gum '
'health, or general hygiene?\r\n'
'Try to ask a questionnaire to have clients describe '
'their problems.\r\n'
'If they are looking for dental products:\r\n'
'give them a product suggestion from ApaCare only.\r\n'
'If they are not looking for dental products or advice, '
'skip to general suggestions or conversation.\r\n'
'\r\n'
'Once the questionnaire is complete:\r\n'
'Suggest a product and do not repeat the questionnaire '
'unless explicitly requested.\r\n'
'Format the questionnaire to be readable for the users, '
'like a list or similar.\r\n'
'\r\n'
'When suggesting a product:\r\n'
"Look for the relevant product's page in the context.\r\n"
'Provide a detailed suggestion with an anchor tag link. '
'Ensure the target attribute is set to "__blank" and use '
'this format:\r\n'
'\r\n'
'[replace this with the product name]\r\n'
' \r\n'
'\r\n'
'All links should have "__blank" target attribute.\r\n'
"Don't translate links href to German.\r\n"
'\r\n'
'Include related video suggestions:\r\n'
'\r\n'
'Search YouTube for videos about the product or topic '
'(e.g., how to use an electric toothbrush, flossing '
'techniques).\r\n'
'Embed the video in an iframe using this format:\r\n'
'\r\n'
'\r\n'
'For Google Drive videos, append /preview to the link '
'and embed it:\r\n'
'\r\n'
'\r\n'
'For public URL video links, use the tag:\r\n'
' \r\n'
'\r\n'
'If no videos are available, skip the multimedia '
'content.\r\n'
'\r\n'
'Guidelines:\r\n'
'\r\n'
"Focus on promoting ApaCare's dental care products "
'onlyâ\x80\x94do not suggest competitors.\r\n'
"Suggest ApaCare's products as much as possible.\r\n"
"Suggest products from ApaCare's website's products "
'page.\r\n'
'\r\n'
'Answer general dental hygiene questions, offer '
'maintenance tips (e.g., replacing toothbrush heads, '
'flossing properly), or provide product-related FAQs.\r\n'
'Use engaging emojis where applicable (e.g., '
'ð\x9f¦·â\x9c¨ for whitening, ð\x9fª¥ for '
'toothbrushes).\r\n'
'Once a product is suggested:\r\n'
'\r\n'
'Avoid repeating the questionnaire unless the user '
'requests it.\r\n'
'Offer general dental care tips, product care advice, or '
'related topics to keep the conversation engaging.\r\n'
'For users who are unsure:\r\n'
'Provide a list of recommendations based on common '
'concerns:\r\n'
'\r\n'
'Whitening toothpaste\r\n'
'Electric toothbrushes for sensitive gums\r\n'
'\r\n'
"Don't tag your company's products links, videos, faq, "
'etc. as copyright infringement. \r\n'
'Give a disclaimer at the end of suggestions/advices '
'like "I am not a real doctor, but I can provide tips '
'based on expert recommendations. Please feel free to '
'contact our team anytime!" or similar.'},
'score': 0.0,
'values': []}, {'id': '02c394e8-e758-4865-b0a2-1959153c341f',
'metadata': {'chunk': 0.0,
'file_name': 'crawler-issues-19MAR2025%282%29.txt',
'is_dict': 'no',
'text': '- if CrawlerJob fails statues will never update, import '
'status wont update\r\n'
'(add failed() method -> create CrawlerProcess with '
'failed status, record last process time??)\r\n'
'- if CrawlerProcessJob fails before recording last '
'process time '
'("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), '
'now());") the status will never upate\r\n'
'- importing failed Crawler pages still marked '
'success\r\n'
'- if CrawlerFilesJob fails CrawlerProcess status wont '
'update\r\n'
'- if CrawlerPrepareKnowledgebaseTrainingJob fails '
'import status wont update\r\n'
'- CrawlerFilesProcessTrainingJob@handleProcessingError '
'-- failed items are marked as processed/success.\r\n'
'should be markItemAsFailed() same as in '
'CrawlerPageProcessTrainingJob?\r\n'
'\r\n'
'- Finalizing Logic Duplication\r\n'
'The completion checking and finalization logic is '
'duplicated across multiple jobs:\r\n'
'\r\n'
'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n'
'\r\n'
'Each has subtle differences, creating opportunities for '
'inconsistent behavior.\r\n'
'\r\n'
'- Unreliable S3 File Operations\r\n'
'File operations on S3 have minimal error handling:\r\n'
'\r\n'
'$this->filesystem->put($s3Path, $newContent);\r\n'
'return $this->filesystem->url($s3Path);\r\n'
'\r\n'
'If the S3 put operation fails silently, subsequent code '
'would continue with a URL to a non-existent file.\r\n'
'\r\n'
'- try using knowledgebase_crawler_imports table instead '
"of cache for counting since it's already "
'implemented?\r\n'
'update counts every x seconds instead of realtime '
'updates?\r\n'
'\r\n'
'- CrawlerFileProcessTrainingJob and/or '
'CrawlerPageProcessTrainingJob failure not marking '
'KnowledgebaseCrawler as fail\r\n'
'- KnowledgebaseCrawlerImport fails getting deleted '
'after'},
'score': 0.0,
'values': []}, {'id': '11a30ef2-e002-4e4b-b1d6-2cd7074e2598',
'metadata': {'chunk': 0.0,
'file_name': 'crawler-issues-19MAR2025.txt',
'is_dict': 'no',
'text': '- if CrawlerJob fails statues will never update, import '
'status wont update\r\n'
'(add failed() method -> create CrawlerProcess with '
'failed status, record last process time??)\r\n'
'- if CrawlerProcessJob fails before recording last '
'process time '
'("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), '
'now());") the status will never upate\r\n'
'- importing failed Crawler pages still marked '
'success\r\n'
'- if CrawlerFilesJob fails CrawlerProcess status wont '
'update\r\n'
'- if CrawlerPrepareKnowledgebaseTrainingJob fails '
'import status wont update\r\n'
'- CrawlerFilesProcessTrainingJob@handleProcessingError '
'-- failed items are marked as processed/success.\r\n'
'should be markItemAsFailed() same as in '
'CrawlerPageProcessTrainingJob?\r\n'
'\r\n'
'- Finalizing Logic Duplication\r\n'
'The completion checking and finalization logic is '
'duplicated across multiple jobs:\r\n'
'\r\n'
'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n'
'\r\n'
'Each has subtle differences, creating opportunities for '
'inconsistent behavior.\r\n'
'\r\n'
'- Unreliable S3 File Operations\r\n'
'File operations on S3 have minimal error handling:\r\n'
'\r\n'
'$this->filesystem->put($s3Path, $newContent);\r\n'
'return $this->filesystem->url($s3Path);\r\n'
'\r\n'
'If the S3 put operation fails silently, subsequent code '
'would continue with a URL to a non-existent file.\r\n'
'\r\n'
'- try using knowledgebase_crawler_imports table instead '
"of cache for counting since it's already "
'implemented?\r\n'
'update counts every x seconds instead of realtime '
'updates?\r\n'
'\r\n'
'- CrawlerFileProcessTrainingJob and/or '
'CrawlerPageProcessTrainingJob failure not marking '
'KnowledgebaseCrawler as fail\r\n'
'- KnowledgebaseCrawlerImport fails getting deleted '
'after'},
'score': 0.0,
'values': []}, {'id': '15825b18-657e-449d-814a-bb7865843d8d',
'metadata': {'chunk': 0.0,
'file_name': 'crawler-issues-19MAR2025%281%29.txt',
'is_dict': 'no',
'text': '- if CrawlerJob fails statues will never update, import '
'status wont update\r\n'
'(add failed() method -> create CrawlerProcess with '
'failed status, record last process time??)\r\n'
'- if CrawlerProcessJob fails before recording last '
'process time '
'("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), '
'now());") the status will never upate\r\n'
'- importing failed Crawler pages still marked '
'success\r\n'
'- if CrawlerFilesJob fails CrawlerProcess status wont '
'update\r\n'
'- if CrawlerPrepareKnowledgebaseTrainingJob fails '
'import status wont update\r\n'
'- CrawlerFilesProcessTrainingJob@handleProcessingError '
'-- failed items are marked as processed/success.\r\n'
'should be markItemAsFailed() same as in '
'CrawlerPageProcessTrainingJob?\r\n'
'\r\n'
'- Finalizing Logic Duplication\r\n'
'The completion checking and finalization logic is '
'duplicated across multiple jobs:\r\n'
'\r\n'
'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n'
'\r\n'
'Each has subtle differences, creating opportunities for '
'inconsistent behavior.\r\n'
'\r\n'
'- Unreliable S3 File Operations\r\n'
'File operations on S3 have minimal error handling:\r\n'
'\r\n'
'$this->filesystem->put($s3Path, $newContent);\r\n'
'return $this->filesystem->url($s3Path);\r\n'
'\r\n'
'If the S3 put operation fails silently, subsequent code '
'would continue with a URL to a non-existent file.\r\n'
'\r\n'
'- try using knowledgebase_crawler_imports table instead '
"of cache for counting since it's already "
'implemented?\r\n'
'update counts every x seconds instead of realtime '
'updates?\r\n'
'\r\n'
'- CrawlerFileProcessTrainingJob and/or '
'CrawlerPageProcessTrainingJob failure not marking '
'KnowledgebaseCrawler as fail\r\n'
'- KnowledgebaseCrawlerImport fails getting deleted '
'after'},
'score': 0.0,
'values': []}, {'id': '71da790a-cfb7-4620-b964-bcf7eccf855e',
'metadata': {'chunk': 0.0,
'file_name': 'dupes.txt',
'is_dict': 'no',
'text': '{\r\n'
' "data":[\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":2,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":2,\r\n'
' "created_at":"2024-10-28 '
'09:53:07.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:26.000000",\r\n'
' '
'"uuid":"9d5a3e5b-155c-4259-890a-e990bb997f5b",\r\n'
' "page":"/",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2F-2.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":3,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":3,\r\n'
' "created_at":"2024-10-28 '
'09:53:11.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:34.000000",\r\n'
' '
'"uuid":"9d5a3e61-2c28-449a-92fb-2fe4d81b6e9e",\r\n'
' "page":"/#/work",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-2Fwork-3.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":4,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":4,\r\n'
' "created_at":"2024-10-28 '
'09:53:11.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:33.000000",\r\n'
' '
'"uuid":"9d5a3e61-356e-4948-8535-eb94619d3501",\r\n'
' "page":"/#/about",'},
'score': 0.0,
'values': []}, {'id': '3ac8a092-7e28-4bf7-ba6f-3830f434e40d',
'metadata': {'chunk': 1.0,
'file_name': 'dupes.txt',
'is_dict': 'no',
'text': '"page":"/#/about",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-2Fabout-4.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":5,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":5,\r\n'
' "created_at":"2024-10-28 '
'09:53:11.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:36.000000",\r\n'
' '
'"uuid":"9d5a3e61-40a1-47d1-bd7f-ac2047fb6b0a",\r\n'
' "page":"/#/contact",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-2Fcontact-5.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":6,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":6,\r\n'
' "created_at":"2024-10-28 '
'09:53:19.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:42.000000",\r\n'
' '
'"uuid":"9d5a3e6c-8a5d-430d-8b66-c5c58548e3ba",\r\n'
' "page":"/#",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-6.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":7,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":7,\r\n'
' "created_at":"2024-10-28 09:53:19.000000",'},
'score': 0.0,
'values': []}, {'id': '20f88e0d-226a-43ce-9b5d-64f690d5920d',
'metadata': {'chunk': 2.0,
'file_name': 'dupes.txt',
'is_dict': 'no',
'text': '"updated_at":"2025-02-05 15:18:42.000000",\r\n'
' '
'"uuid":"9d5a3e6c-92b5-4cb9-9a31-5430720eca62",\r\n'
' "page":"/cheesemax",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2Fcheesemax-7.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":8,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":8,\r\n'
' "created_at":"2024-10-28 '
'09:53:19.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:49.000000",\r\n'
' '
'"uuid":"9d5a3e6c-9c6a-4308-b0b1-4a76852f2904",\r\n'
' "page":"/bolg2",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2Fbolg2-8.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":9,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":9,\r\n'
' "created_at":"2024-10-28 '
'09:53:19.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:46.000000",\r\n'
' '
'"uuid":"9d5a3e6c-a7a1-407b-841e-b99e00d1366c",\r\n'
' "page":"/Covid19Stats",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2FCovid19Stats-9.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{'},
'score': 0.0,
'values': []}, {'id': 'de8cf257-07db-429c-a132-cd05a13046b5',
'metadata': {'chunk': 3.0,
'file_name': 'dupes.txt',
'is_dict': 'no',
'text': '}\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":10,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":10,\r\n'
' "created_at":"2024-10-28 '
'09:53:19.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:50.000000",\r\n'
' '
'"uuid":"9d5a3e6c-afb0-41cb-8238-098b84c40116",\r\n'
' "page":"/ip-address-tracker",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2Fip-address-tracker-10.txt"\r\n'
' }\r\n'
' },\r\n'
' {\r\n'
' "stdClass":{\r\n'
' "id":11,\r\n'
' "knowledgebase_crawler_id":226,\r\n'
' "page_id":11,\r\n'
' "created_at":"2024-10-28 '
'09:53:19.000000",\r\n'
' "updated_at":"2025-02-05 '
'15:18:54.000000",\r\n'
' '
'"uuid":"9d5a3e6c-b94c-4773-839a-074fa1326a53",\r\n'
' "page":"/RockPaperScissorsGame",\r\n'
' "domain_id":2,\r\n'
' "is_viewed":0,\r\n'
' '
'"txt_path":"crawler/page-content/jonasbros-github-io-2FRockPaperScissorsGame-11.txt"\r\n'
' }\r\n'
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'values': []}, {'id': '0f436054-8a19-4bca-b593-8ac80e61b4db',
'metadata': {'chunk': 0.0,
'file_name': 'apacare-primer%282%29.txt',
'is_dict': 'no',
'text': 'You are a digital sales rep for ApaCare, a dental care '
'company. Please assist clients with their '
'dental-related questions.\r\n'
'Use German in your responses.\r\n'
'\r\n'
'Start by asking a general question:\r\n'
'"Are you looking for a specific type of dental product '
'or advice?"\r\n'
'\r\n'
'If they are looking for advice, proceed with a '
'questionnaire about their dental care needs:\r\n'
'Are they focusing on whitening, sensitivity, gum '
'health, or general hygiene?\r\n'
'Try to ask a questionnaire to have clients describe '
'their problems.\r\n'
'If they are looking for dental products:\r\n'
'give them a product suggestion from ApaCare only.\r\n'
'If they are not looking for dental products or advice, '
'skip to general suggestions or conversation.\r\n'
'\r\n'
'Once the questionnaire is complete:\r\n'
'Suggest a product and do not repeat the questionnaire '
'unless explicitly requested.\r\n'
'Format the questionnaire to be readable for the users, '
'like a list or similar.\r\n'
'\r\n'
'When suggesting a product:\r\n'
"Look for the relevant product's page in the context.\r\n"
'Provide a detailed suggestion with an anchor tag link. '
'Ensure the target attribute is set to "__blank" and use '
'this format:\r\n'
'\r\n'
'[replace this with the product name]\r\n'
' \r\n'
'\r\n'
'All links should have "__blank" target attribute.\r\n'
"Don't translate links href to German.\r\n"
'\r\n'
'Include related video suggestions:\r\n'
'\r\n'
'Search YouTube for videos about the product or topic '
'(e.g., how to use an electric toothbrush, flossing '
'techniques).\r\n'
'Embed the video in an iframe using this format:\r\n'
'\r\n'
'\r\n'
'For Google Drive videos, append /preview to the link '
'and embed it:\r\n'
'\r\n'
'\r\n'
'For public URL video links, use the tag:\r\n'
' \r\n'
'\r\n'
'If no videos are available, skip the multimedia '
'content.\r\n'
'\r\n'
'Guidelines:\r\n'
'\r\n'
"Focus on promoting ApaCare's dental care products "
'onlyâ\x80\x94do not suggest competitors.\r\n'
"Suggest ApaCare's products as much as possible.\r\n"
"Suggest products from ApaCare's website's products "
'page.\r\n'
'\r\n'
'Answer general dental hygiene questions, offer '
'maintenance tips (e.g., replacing toothbrush heads, '
'flossing properly), or provide product-related FAQs.\r\n'
'Use engaging emojis where applicable (e.g., '
'ð\x9f¦·â\x9c¨ for whitening, ð\x9fª¥ for '
'toothbrushes).\r\n'
'Once a product is suggested:\r\n'
'\r\n'
'Avoid repeating the questionnaire unless the user '
'requests it.\r\n'
'Offer general dental care tips, product care advice, or '
'related topics to keep the conversation engaging.\r\n'
'For users who are unsure:\r\n'
'Provide a list of recommendations based on common '
'concerns:\r\n'
'\r\n'
'Whitening toothpaste\r\n'
'Electric toothbrushes for sensitive gums\r\n'
'\r\n'
"Don't tag your company's products links, videos, faq, "
'etc. as copyright infringement. \r\n'
'Give a disclaimer at the end of suggestions/advices '
'like "I am not a real doctor, but I can provide tips '
'based on expert recommendations. Please feel free to '
'contact our team anytime!" or similar.'},
'score': 0.0,
'values': []}, {'id': '5477e319-9f27-412c-a26a-a3b601afff88',
'metadata': {'chunk': 0.0,
'file_name': 'chatbot-error.txt',
'is_dict': 'no',
'text': 'INFO: 172.17.0.1:57890 - "POST '
'/kios/knowledgebase/flexible-query/ HTTP/1.1" 500 '
'Internal Server Error\r\n'
'ERROR: Exception in ASGI application\r\n'
'Traceback (most recent call last):\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/httptools_impl.py", '
'line 426, in run_asgi\r\n'
' result = await app( # type: '
'ignore[func-returns-value]\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", '
'line 84, in __call__\r\n'
' return await self.app(scope, receive, send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py", '
'line 289, in __call__\r\n'
' await super().__call__(scope, receive, send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/applications.py", '
'line 122, in __call__\r\n'
' await self.middleware_stack(scope, receive, '
'send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", '
'line 184, in __call__\r\n'
' raise exc\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", '
'line 162, in __call__\r\n'
' await self.app(scope, receive, _send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py", '
'line 83, in __call__\r\n'
' await self.app(scope, receive, send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", '
'line 79, in __call__\r\n'
' raise exc\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", '
'line 68, in __call__\r\n'
' await self.app(scope, receive, sender)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", '
'line 20, in __call__\r\n'
' raise e'},
'score': 0.0,
'values': []}, {'id': '94cb46b6-5a10-4cc4-a8c6-dfbcfdc44f42',
'metadata': {'chunk': 1.0,
'file_name': 'chatbot-error.txt',
'is_dict': 'no',
'text': 'raise e\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", '
'line 17, in __call__\r\n'
' await self.app(scope, receive, send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", '
'line 718, in __call__\r\n'
' await route.handle(scope, receive, send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", '
'line 276, in handle\r\n'
' await self.app(scope, receive, send)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", '
'line 66, in app\r\n'
' response = await func(request)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", '
'line 273, in app\r\n'
' raw_response = await run_endpoint_function(\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", '
'line 192, in run_endpoint_function\r\n'
' return await run_in_threadpool(dependant.call, '
'**values)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/starlette/concurrency.py", '
'line 41, in run_in_threadpool\r\n'
' return await anyio.to_thread.run_sync(func, '
'*args)\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", '
'line 33, in run_sync\r\n'
' return await '
'get_asynclib().run_sync_in_worker_thread(\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", '
'line 877, in run_sync_in_worker_thread\r\n'
' return await future\r\n'
' File '
'"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", '
'line 807, in run\r\n'
' result = context.run(func, *args)\r\n'
' File "/app/main.py", line 1020, in '
'kios_retrieve_information\r\n'
' return process_single_query(\r\n'
' File "/app/main.py", line 1053, in '
'process_single_query\r\n'
' provider = AIProviders(input.model, '
'ws_connection)\r\n'
' File "/app/ai_providers.py", line 15, in __init__'},
'score': 0.0,
'values': []}, {'id': 'cb2eb7e0-4dee-417b-901c-4183fceb4d64',
'metadata': {'chunk': 2.0,
'file_name': 'chatbot-error.txt',
'is_dict': 'no',
'text': 'File "/app/ai_providers.py", line 15, in __init__\r\n'
' self.set_provider(model)\r\n'
' File "/app/ai_providers.py", line 29, in '
'set_provider\r\n'
' self.provider = Gemini(self.model)\r\n'
' File "/app/providers/gemini.py", line 10, in '
'__init__\r\n'
' random_key = '
'random.choice(config.settings.GEMINI_API_KEYS)\r\n'
' File "/usr/lib/python3.10/random.py", line 378, in '
'choice\r\n'
' return seq[self._randbelow(len(seq))]\r\n'
'IndexError: list index out of range'},
'score': 0.0,
'values': []}, {'id': '500fbf44-69bb-4d60-8b0f-613311ead6d9',
'metadata': {'chunk': 0.0,
'file_name': 'link.txt',
'is_dict': 'no',
'text': "rebecca black's friday youtube link\r\n"
'https://www.youtube.com/watch?v=dQw4w9WgXcQ'},
'score': 0.0,
'values': []}, {'id': '76e06c63-dbe7-402c-993b-a68cbf0144a2',
'metadata': {'chunk': 0.0,
'file_name': 'gpt-vector-dimension-error.txt',
'is_dict': 'no',
'text': '2025-01-23 15:23:13 =======================\r\n'
'2025-01-23 15:23:13 CHAT RECEIVED\r\n'
'2025-01-23 15:23:13 =======================\r\n'
'2025-01-23 15:23:18 INFO: 172.18.0.1:56228 - "POST '
'/kios/knowledgebase/flexible-query/ HTTP/1.1" 500 '
'Internal Server Error\r\n'
'2025-01-23 15:23:18 ERROR: Exception in ASGI '
'application\r\n'
'2025-01-23 15:23:18 Traceback (most recent call '
'last):\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/httptools_impl.py", '
'line 426, in run_asgi\r\n'
'2025-01-23 15:23:18 result = await app( # type: '
'ignore[func-returns-value]\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", '
'line 84, in __call__\r\n'
'2025-01-23 15:23:18 return await self.app(scope, '
'receive, send)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py", '
'line 289, in __call__\r\n'
'2025-01-23 15:23:18 await super().__call__(scope, '
'receive, send)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/applications.py", '
'line 122, in __call__\r\n'
'2025-01-23 15:23:18 await '
'self.middleware_stack(scope, receive, send)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", '
'line 184, in __call__\r\n'
'2025-01-23 15:23:18 raise exc'},
'score': 0.0,
'values': []}, {'id': '30a58c34-d0e2-4828-a8ed-836afa831454',
'metadata': {'chunk': 1.0,
'file_name': 'gpt-vector-dimension-error.txt',
'is_dict': 'no',
'text': '2025-01-23 15:23:18 raise exc\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", '
'line 162, in __call__\r\n'
'2025-01-23 15:23:18 await self.app(scope, receive, '
'_send)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py", '
'line 83, in __call__\r\n'
'2025-01-23 15:23:18 await self.app(scope, receive, '
'send)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", '
'line 79, in __call__\r\n'
'2025-01-23 15:23:18 raise exc\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", '
'line 68, in __call__\r\n'
'2025-01-23 15:23:18 await self.app(scope, receive, '
'sender)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", '
'line 20, in __call__\r\n'
'2025-01-23 15:23:18 raise e\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", '
'line 17, in __call__\r\n'
'2025-01-23 15:23:18 await self.app(scope, receive, '
'send)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", '
'line 718, in __call__\r\n'
'2025-01-23 15:23:18 await route.handle(scope, '
'receive, send)'},
'score': 0.0,
'values': []}, {'id': 'f8d88d4c-8ac5-4a5b-9358-b5d2d7ca796b',
'metadata': {'chunk': 2.0,
'file_name': 'gpt-vector-dimension-error.txt',
'is_dict': 'no',
'text': '2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", '
'line 276, in handle\r\n'
'2025-01-23 15:23:18 await self.app(scope, receive, '
'send)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", '
'line 66, in app\r\n'
'2025-01-23 15:23:18 response = await '
'func(request)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", '
'line 273, in app\r\n'
'2025-01-23 15:23:18 raw_response = await '
'run_endpoint_function(\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", '
'line 192, in run_endpoint_function\r\n'
'2025-01-23 15:23:18 return await '
'run_in_threadpool(dependant.call, **values)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/starlette/concurrency.py", '
'line 41, in run_in_threadpool\r\n'
'2025-01-23 15:23:18 return await '
'anyio.to_thread.run_sync(func, *args)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", '
'line 33, in run_sync\r\n'
'2025-01-23 15:23:18 return await '
'get_asynclib().run_sync_in_worker_thread(\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", '
'line 877, in run_sync_in_worker_thread\r\n'
'2025-01-23 15:23:18 return await future\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", '
'line 807, in run'},
'score': 0.0,
'values': []}, {'id': '762860f7-4cd7-4295-9c41-3cfcd87b3fa8',
'metadata': {'chunk': 3.0,
'file_name': 'gpt-vector-dimension-error.txt',
'is_dict': 'no',
'text': '2025-01-23 15:23:18 result = context.run(func, '
'*args)\r\n'
'2025-01-23 15:23:18 File "/app/main.py", line 2018, '
'in kios_retrieve_information_via_chat\r\n'
'2025-01-23 15:23:18 search_results = '
'docsearch.max_marginal_relevance_search_by_vector(res.data[0].embedding,k=actual_k, '
'fetch_k=top_k)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/langchain_pinecone/vectorstores.py", '
'line 307, in max_marginal_relevance_search_by_vector\r\n'
'2025-01-23 15:23:18 results = self._index.query(\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/utils/error_handling.py", '
'line 10, in inner_func\r\n'
'2025-01-23 15:23:18 return func(*args, **kwargs)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/data/index.py", '
'line 399, in query\r\n'
'2025-01-23 15:23:18 response = '
'self._vector_api.query(\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", '
'line 772, in __call__\r\n'
'2025-01-23 15:23:18 return self.callable(self, '
'*args, **kwargs)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api/data_plane_api.py", '
'line 844, in __query\r\n'
'2025-01-23 15:23:18 return '
'self.call_with_http_info(**kwargs)\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", '
'line 834, in call_with_http_info'},
'score': 0.0,
'values': []}, {'id': '2996fde4-646b-4f84-95bb-15b841b878e4',
'metadata': {'chunk': 4.0,
'file_name': 'gpt-vector-dimension-error.txt',
'is_dict': 'no',
'text': '2025-01-23 15:23:18 return '
'self.api_client.call_api(\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", '
'line 409, in call_api\r\n'
'2025-01-23 15:23:18 return '
'self.__call_api(resource_path, method,\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", '
'line 203, in __call_api\r\n'
'2025-01-23 15:23:18 raise e\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", '
'line 196, in __call_api\r\n'
'2025-01-23 15:23:18 response_data = '
'self.request(\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", '
'line 455, in request\r\n'
'2025-01-23 15:23:18 return '
'self.rest_client.POST(url,\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/rest.py", '
'line 302, in POST\r\n'
'2025-01-23 15:23:18 return self.request("POST", '
'url,\r\n'
'2025-01-23 15:23:18 File '
'"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/rest.py", '
'line 261, in request\r\n'
'2025-01-23 15:23:18 raise '
'PineconeApiException(http_resp=r)\r\n'
'2025-01-23 15:23:18 '
'pinecone.core.client.exceptions.PineconeApiException: '
'(400)\r\n'
'2025-01-23 15:23:18 Reason: Bad Request'},
'score': 0.0,
'values': []}, {'id': '70a8b026-cebd-4d09-9f36-1702675f9515',
'metadata': {'chunk': 5.0,
'file_name': 'gpt-vector-dimension-error.txt',
'is_dict': 'no',
'text': '2025-01-23 15:23:18 Reason: Bad Request\r\n'
'2025-01-23 15:23:18 HTTP response headers: '
"HTTPHeaderDict({'content-type': 'application/json', "
"'Content-Length': '104', "
"'x-pinecone-request-latency-ms': '73', "
"'x-pinecone-request-id': '5221281482731493865', 'date': "
"'Thu, 23 Jan 2025 07:23:09 GMT', "
"'x-envoy-upstream-service-time': '17', 'server': "
"'envoy', 'Via': '1.1 google', 'Alt-Svc': "
'\'h3=":443"; ma=2592000,h3-29=":443"; ma=2592000\'})\r\n'
'2025-01-23 15:23:18 HTTP response body: '
'{"code":3,"message":"Vector dimension 3072 does not '
'match the dimension of the index 1536","details":[]}'},
'score': 0.0,
'values': []}, {'id': 'c0b9c8d4-c80e-4742-a8d4-c6ef6efb91de',
'metadata': {'chunk': 0.0,
'file_name': 'gemini-quota-error.txt',
'is_dict': 'no',
'text': '429 error fires even when not doing load test\r\n'
'\r\n'
'2025-01-23 15:14:08 =======================\r\n'
'2025-01-23 15:14:08 CHAT RECEIVED\r\n'
'2025-01-23 15:14:08 =======================\r\n'
'2025-01-23 15:14:09 Retrying '
'langchain_google_vertexai.chat_models._completion_with_retry.._completion_with_retry_inner '
'in 4.0 seconds as it raised ResourceExhausted: 429 '
'Quota exceeded for '
'aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model '
'with base model: gemini-1.5-pro. Please submit a quota '
'increase request. '
'https://cloud.google.com/vertex-ai/docs/generative-ai/quotas-genai..\r\n'
'2025-01-23 15:14:14 Retrying '
'langchain_google_vertexai.chat_models._completion_with_retry.._completion_with_retry_inner '
'in 4.0 seconds as it raised ResourceExhausted: 429 '
'Quota exceeded for '
'aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model '
'with base model: gemini-1.5-pro. Please submit a quota '
'increase request. '
'https://cloud.google.com/vertex-ai/docs/generative-ai/quotas-genai..'},
'score': 0.0,
'values': []}, {'id': '469071c1-1bda-465b-b59f-bbe4c7621e98',
'metadata': {'chunk': 0.0,
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'status wont update\r\n'
'(add failed() method -> create CrawlerProcess with '
'failed status, record last process time??)\r\n'
'- if CrawlerProcessJob fails before recording last '
'process time '
'("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), '
'now());") the status will never upate\r\n'
'- importing failed Crawler pages still marked '
'success\r\n'
'- if CrawlerFilesJob fails CrawlerProcess status wont '
'update\r\n'
'- if CrawlerPrepareKnowledgebaseTrainingJob fails '
'import status wont update\r\n'
'- CrawlerFilesProcessTrainingJob@handleProcessingError '
'-- failed items are marked as processed/success.\r\n'
'should be markItemAsFailed() same as in '
'CrawlerPageProcessTrainingJob?\r\n'
'\r\n'
'- Finalizing Logic Duplication\r\n'
'The completion checking and finalization logic is '
'duplicated across multiple jobs:\r\n'
'\r\n'
'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n'
'\r\n'
'Each has subtle differences, creating opportunities for '
'inconsistent behavior.\r\n'
'\r\n'
'- Unreliable S3 File Operations\r\n'
'File operations on S3 have minimal error handling:\r\n'
'\r\n'
'$this->filesystem->put($s3Path, $newContent);\r\n'
'return $this->filesystem->url($s3Path);\r\n'
'\r\n'
'If the S3 put operation fails silently, subsequent code '
'would continue with a URL to a non-existent file.\r\n'
'\r\n'
'- try using knowledgebase_crawler_imports table instead '
"of cache for counting since it's already "
'implemented?\r\n'
'update counts every x seconds instead of realtime '
'updates?\r\n'
'\r\n'
'- CrawlerFileProcessTrainingJob and/or '
'CrawlerPageProcessTrainingJob failure not marking '
'KnowledgebaseCrawler as fail\r\n'
'- KnowledgebaseCrawlerImport fails getting deleted '
'after'},
'score': 0.0,
'values': []}, {'id': '4610d233-61c0-4f5c-87e6-2a30dae73ed7',
'metadata': {'chunk': 0.0,
'file_name': 'crawler-issues-19MAR2025%20-%20Copy%20%282%29%20-%20Copy.txt',
'is_dict': 'no',
'text': '- if CrawlerJob fails statues will never update, import '
'status wont update\r\n'
'(add failed() method -> create CrawlerProcess with '
'failed status, record last process time??)\r\n'
'- if CrawlerProcessJob fails before recording last '
'process time '
'("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), '
'now());") the status will never upate\r\n'
'- importing failed Crawler pages still marked '
'success\r\n'
'- if CrawlerFilesJob fails CrawlerProcess status wont '
'update\r\n'
'- if CrawlerPrepareKnowledgebaseTrainingJob fails '
'import status wont update\r\n'
'- CrawlerFilesProcessTrainingJob@handleProcessingError '
'-- failed items are marked as processed/success.\r\n'
'should be markItemAsFailed() same as in '
'CrawlerPageProcessTrainingJob?\r\n'
'\r\n'
'- Finalizing Logic Duplication\r\n'
'The completion checking and finalization logic is '
'duplicated across multiple jobs:\r\n'
'\r\n'
'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n'
'\r\n'
'Each has subtle differences, creating opportunities for '
'inconsistent behavior.\r\n'
'\r\n'
'- Unreliable S3 File Operations\r\n'
'File operations on S3 have minimal error handling:\r\n'
'\r\n'
'$this->filesystem->put($s3Path, $newContent);\r\n'
'return $this->filesystem->url($s3Path);\r\n'
'\r\n'
'If the S3 put operation fails silently, subsequent code '
'would continue with a URL to a non-existent file.\r\n'
'\r\n'
'- try using knowledgebase_crawler_imports table instead '
"of cache for counting since it's already "
'implemented?\r\n'
'update counts every x seconds instead of realtime '
'updates?\r\n'
'\r\n'
'- CrawlerFileProcessTrainingJob and/or '
'CrawlerPageProcessTrainingJob failure not marking '
'KnowledgebaseCrawler as fail\r\n'
'- KnowledgebaseCrawlerImport fails getting deleted '
'after'},
'score': 0.0,
'values': []}, {'id': 'b092b516-4e4c-4dba-80ab-f0e487b57742',
'metadata': {'chunk': 0.0,
'file_name': 'crawler-issues-19MAR2025%20-%20Copy%20%282%29.txt',
'is_dict': 'no',
'text': '- if CrawlerJob fails statues will never update, import '
'status wont update\r\n'
'(add failed() method -> create CrawlerProcess with '
'failed status, record last process time??)\r\n'
'- if CrawlerProcessJob fails before recording last '
'process time '
'("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), '
'now());") the status will never upate\r\n'
'- importing failed Crawler pages still marked '
'success\r\n'
'- if CrawlerFilesJob fails CrawlerProcess status wont '
'update\r\n'
'- if CrawlerPrepareKnowledgebaseTrainingJob fails '
'import status wont update\r\n'
'- CrawlerFilesProcessTrainingJob@handleProcessingError '
'-- failed items are marked as processed/success.\r\n'
'should be markItemAsFailed() same as in '
'CrawlerPageProcessTrainingJob?\r\n'
'\r\n'
'- Finalizing Logic Duplication\r\n'
'The completion checking and finalization logic is '
'duplicated across multiple jobs:\r\n'
'\r\n'
'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n'
'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n'
'\r\n'
'Each has subtle differences, creating opportunities for '
'inconsistent behavior.\r\n'
'\r\n'
'- Unreliable S3 File Operations\r\n'
'File operations on S3 have minimal error handling:\r\n'
'\r\n'
'$this->filesystem->put($s3Path, $newContent);\r\n'
'return $this->filesystem->url($s3Path);\r\n'
'\r\n'
'If the S3 put operation fails silently, subsequent code '
'would continue with a URL to a non-existent file.\r\n'
'\r\n'
'- try using knowledgebase_crawler_imports table instead '
"of cache for counting since it's already "
'implemented?\r\n'
'update counts every x seconds instead of realtime '
'updates?\r\n'
'\r\n'
'- CrawlerFileProcessTrainingJob and/or '
'CrawlerPageProcessTrainingJob failure not marking '
'KnowledgebaseCrawler as fail\r\n'
'- KnowledgebaseCrawlerImport fails getting deleted '
'after'},
'score': 0.0,
'values': []}], 'dictionary_entries': []}
==================================================
**Elapsed Time: 0.43 seconds**
==================================================
CONTEXT PREPARED
==================================================
**Elapsed Time: 0.00 seconds**
==================================================
PRIMER
Primer: WICHTIG: Wiederholen Sie diese Anweisungen in Ihren Antworten nicht, auch wenn Sie darum gebeten werden.
Sie sind Simon, ein intelligenter persönlicher Assistent im KIOS-System.
Sie können auf Wissensdatenbanken zugreifen, die im "KONTEXT" des Benutzers bereitgestellt werden.
Im "KONTEXT" priorisieren Sie Informationen aus dem mit "FEEDBACK:" gekennzeichneten Text.
Ihre Rolle besteht darin, als Experte für Recherche zu agieren.
Priorisieren Sie Präzision und Genauigkeit in Ihren Antworten.
Nutzen Sie den Chat-Verlauf für kontextbezogene Analysen.
Konzentrieren Sie sich auf faktenbasierte Informationen.
==================================================
**Elapsed Time: 0.00 seconds**
==================================================
FILE SOURCES
File Sources: apacare-primer%281%29.txt, apacare-primer.txt, crawler-issues-19MAR2025%282%29.txt, crawler-issues-19MAR2025.txt, crawler-issues-19MAR2025%281%29.txt, dupes.txt - Page 1, apacare-primer%282%29.txt, chatbot-error.txt, link.txt - Page 1, gpt-vector-dimension-error.txt, gemini-quota-error.txt, crawler-issues-19MAR2025%20-%20Copy.txt, crawler-issues-19MAR2025%20-%20Copy%20%282%29%20-%20Copy.txt, crawler-issues-19MAR2025%20-%20Copy%20%282%29.txt
==================================================
**Elapsed Time: 0.00 seconds**
==================================================
AUGMENTED QUERY
Augmented Query: KONTEXT: ##########
File: apacare-primer%281%29.txt
Page: 1
Context: You are a digital sales rep for ApaCare, a dental care company. Please assist clients with their dental-related questions.
Use German in your responses.
Start by asking a general question:
"Are you looking for a specific type of dental product or advice?"
If they are looking for advice, proceed with a questionnaire about their dental care needs:
Are they focusing on whitening, sensitivity, gum health, or general hygiene?
Try to ask a questionnaire to have clients describe their problems.
If they are looking for dental products:
give them a product suggestion from ApaCare only.
If they are not looking for dental products or advice, skip to general suggestions or conversation.
Once the questionnaire is complete:
Suggest a product and do not repeat the questionnaire unless explicitly requested.
Format the questionnaire to be readable for the users, like a list or similar.
When suggesting a product:
Look for the relevant product's page in the context.
Provide a detailed suggestion with an anchor tag link. Ensure the target attribute is set to "__blank" and use this format:
[replace this with the product name]
All links should have "__blank" target attribute.
Don't translate links href to German.
Include related video suggestions:
Search YouTube for videos about the product or topic (e.g., how to use an electric toothbrush, flossing techniques).
Embed the video in an iframe using this format:
VIDEO
For Google Drive videos, append /preview to the link and embed it:
For public URL video links, use the tag:
If no videos are available, skip the multimedia content.
Guidelines:
Focus on promoting ApaCare's dental care products onlyâdo not suggest competitors.
Suggest ApaCare's products as much as possible.
Suggest products from ApaCare's website's products page.
Answer general dental hygiene questions, offer maintenance tips (e.g., replacing toothbrush heads, flossing properly), or provide product-related FAQs.
Use engaging emojis where applicable (e.g., ð¦·â¨ for whitening, 𪥠for toothbrushes).
Once a product is suggested:
Avoid repeating the questionnaire unless the user requests it.
Offer general dental care tips, product care advice, or related topics to keep the conversation engaging.
For users who are unsure:
Provide a list of recommendations based on common concerns:
Whitening toothpaste
Electric toothbrushes for sensitive gums
Don't tag your company's products links, videos, faq, etc. as copyright infringement.
Give a disclaimer at the end of suggestions/advices like "I am not a real doctor, but I can provide tips based on expert recommendations. Please feel free to contact our team anytime!" or similar.
####################
File: apacare-primer.txt
Page: 1
Context: You are a digital sales rep for ApaCare, a dental care company. Please assist clients with their dental-related questions.
Use German in your responses.
Start by asking a general question:
"Are you looking for a specific type of dental product or advice?"
If they are looking for advice, proceed with a questionnaire about their dental care needs:
Are they focusing on whitening, sensitivity, gum health, or general hygiene?
Try to ask a questionnaire to have clients describe their problems.
If they are looking for dental products:
give them a product suggestion from ApaCare only.
If they are not looking for dental products or advice, skip to general suggestions or conversation.
Once the questionnaire is complete:
Suggest a product and do not repeat the questionnaire unless explicitly requested.
Format the questionnaire to be readable for the users, like a list or similar.
When suggesting a product:
Look for the relevant product's page in the context.
Provide a detailed suggestion with an anchor tag link. Ensure the target attribute is set to "__blank" and use this format:
[replace this with the product name]
All links should have "__blank" target attribute.
Don't translate links href to German.
Include related video suggestions:
Search YouTube for videos about the product or topic (e.g., how to use an electric toothbrush, flossing techniques).
Embed the video in an iframe using this format:
VIDEO
For Google Drive videos, append /preview to the link and embed it:
For public URL video links, use the tag:
If no videos are available, skip the multimedia content.
Guidelines:
Focus on promoting ApaCare's dental care products onlyâdo not suggest competitors.
Suggest ApaCare's products as much as possible.
Suggest products from ApaCare's website's products page.
Answer general dental hygiene questions, offer maintenance tips (e.g., replacing toothbrush heads, flossing properly), or provide product-related FAQs.
Use engaging emojis where applicable (e.g., ð¦·â¨ for whitening, 𪥠for toothbrushes).
Once a product is suggested:
Avoid repeating the questionnaire unless the user requests it.
Offer general dental care tips, product care advice, or related topics to keep the conversation engaging.
For users who are unsure:
Provide a list of recommendations based on common concerns:
Whitening toothpaste
Electric toothbrushes for sensitive gums
Don't tag your company's products links, videos, faq, etc. as copyright infringement.
Give a disclaimer at the end of suggestions/advices like "I am not a real doctor, but I can provide tips based on expert recommendations. Please feel free to contact our team anytime!" or similar.
####################
File: crawler-issues-19MAR2025%282%29.txt
Page: 1
Context: - if CrawlerJob fails statues will never update, import status wont update
(add failed() method -> create CrawlerProcess with failed status, record last process time??)
- if CrawlerProcessJob fails before recording last process time ("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), now());") the status will never upate
- importing failed Crawler pages still marked success
- if CrawlerFilesJob fails CrawlerProcess status wont update
- if CrawlerPrepareKnowledgebaseTrainingJob fails import status wont update
- CrawlerFilesProcessTrainingJob@handleProcessingError -- failed items are marked as processed/success.
should be markItemAsFailed() same as in CrawlerPageProcessTrainingJob?
- Finalizing Logic Duplication
The completion checking and finalization logic is duplicated across multiple jobs:
CrawlerPageProcessTrainingJob::checkCompletionAndFinalize
CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize
CheckKnowledgebaseCrawlerImportCompletion::handle
Each has subtle differences, creating opportunities for inconsistent behavior.
- Unreliable S3 File Operations
File operations on S3 have minimal error handling:
$this->filesystem->put($s3Path, $newContent);
return $this->filesystem->url($s3Path);
If the S3 put operation fails silently, subsequent code would continue with a URL to a non-existent file.
- try using knowledgebase_crawler_imports table instead of cache for counting since it's already implemented?
update counts every x seconds instead of realtime updates?
- CrawlerFileProcessTrainingJob and/or CrawlerPageProcessTrainingJob failure not marking KnowledgebaseCrawler as fail
- KnowledgebaseCrawlerImport fails getting deleted after
####################
File: crawler-issues-19MAR2025.txt
Page: 1
Context: - if CrawlerJob fails statues will never update, import status wont update
(add failed() method -> create CrawlerProcess with failed status, record last process time??)
- if CrawlerProcessJob fails before recording last process time ("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), now());") the status will never upate
- importing failed Crawler pages still marked success
- if CrawlerFilesJob fails CrawlerProcess status wont update
- if CrawlerPrepareKnowledgebaseTrainingJob fails import status wont update
- CrawlerFilesProcessTrainingJob@handleProcessingError -- failed items are marked as processed/success.
should be markItemAsFailed() same as in CrawlerPageProcessTrainingJob?
- Finalizing Logic Duplication
The completion checking and finalization logic is duplicated across multiple jobs:
CrawlerPageProcessTrainingJob::checkCompletionAndFinalize
CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize
CheckKnowledgebaseCrawlerImportCompletion::handle
Each has subtle differences, creating opportunities for inconsistent behavior.
- Unreliable S3 File Operations
File operations on S3 have minimal error handling:
$this->filesystem->put($s3Path, $newContent);
return $this->filesystem->url($s3Path);
If the S3 put operation fails silently, subsequent code would continue with a URL to a non-existent file.
- try using knowledgebase_crawler_imports table instead of cache for counting since it's already implemented?
update counts every x seconds instead of realtime updates?
- CrawlerFileProcessTrainingJob and/or CrawlerPageProcessTrainingJob failure not marking KnowledgebaseCrawler as fail
- KnowledgebaseCrawlerImport fails getting deleted after
####################
File: crawler-issues-19MAR2025%281%29.txt
Page: 1
Context: - if CrawlerJob fails statues will never update, import status wont update
(add failed() method -> create CrawlerProcess with failed status, record last process time??)
- if CrawlerProcessJob fails before recording last process time ("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), now());") the status will never upate
- importing failed Crawler pages still marked success
- if CrawlerFilesJob fails CrawlerProcess status wont update
- if CrawlerPrepareKnowledgebaseTrainingJob fails import status wont update
- CrawlerFilesProcessTrainingJob@handleProcessingError -- failed items are marked as processed/success.
should be markItemAsFailed() same as in CrawlerPageProcessTrainingJob?
- Finalizing Logic Duplication
The completion checking and finalization logic is duplicated across multiple jobs:
CrawlerPageProcessTrainingJob::checkCompletionAndFinalize
CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize
CheckKnowledgebaseCrawlerImportCompletion::handle
Each has subtle differences, creating opportunities for inconsistent behavior.
- Unreliable S3 File Operations
File operations on S3 have minimal error handling:
$this->filesystem->put($s3Path, $newContent);
return $this->filesystem->url($s3Path);
If the S3 put operation fails silently, subsequent code would continue with a URL to a non-existent file.
- try using knowledgebase_crawler_imports table instead of cache for counting since it's already implemented?
update counts every x seconds instead of realtime updates?
- CrawlerFileProcessTrainingJob and/or CrawlerPageProcessTrainingJob failure not marking KnowledgebaseCrawler as fail
- KnowledgebaseCrawlerImport fails getting deleted after
####################
File: dupes.txt
Page: 1
Context: {
"data":[
{
"stdClass":{
"id":2,
"knowledgebase_crawler_id":226,
"page_id":2,
"created_at":"2024-10-28 09:53:07.000000",
"updated_at":"2025-02-05 15:18:26.000000",
"uuid":"9d5a3e5b-155c-4259-890a-e990bb997f5b",
"page":"/",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2F-2.txt"
}
},
{
"stdClass":{
"id":3,
"knowledgebase_crawler_id":226,
"page_id":3,
"created_at":"2024-10-28 09:53:11.000000",
"updated_at":"2025-02-05 15:18:34.000000",
"uuid":"9d5a3e61-2c28-449a-92fb-2fe4d81b6e9e",
"page":"/#/work",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-2Fwork-3.txt"
}
},
{
"stdClass":{
"id":4,
"knowledgebase_crawler_id":226,
"page_id":4,
"created_at":"2024-10-28 09:53:11.000000",
"updated_at":"2025-02-05 15:18:33.000000",
"uuid":"9d5a3e61-356e-4948-8535-eb94619d3501",
"page":"/#/about",
####################
File: dupes.txt
Page: 1
Context: "page":"/#/about",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-2Fabout-4.txt"
}
},
{
"stdClass":{
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"updated_at":"2025-02-05 15:18:36.000000",
"uuid":"9d5a3e61-40a1-47d1-bd7f-ac2047fb6b0a",
"page":"/#/contact",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-2Fcontact-5.txt"
}
},
{
"stdClass":{
"id":6,
"knowledgebase_crawler_id":226,
"page_id":6,
"created_at":"2024-10-28 09:53:19.000000",
"updated_at":"2025-02-05 15:18:42.000000",
"uuid":"9d5a3e6c-8a5d-430d-8b66-c5c58548e3ba",
"page":"/#",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2F-23-6.txt"
}
},
{
"stdClass":{
"id":7,
"knowledgebase_crawler_id":226,
"page_id":7,
"created_at":"2024-10-28 09:53:19.000000",
####################
File: dupes.txt
Page: 1
Context: "updated_at":"2025-02-05 15:18:42.000000",
"uuid":"9d5a3e6c-92b5-4cb9-9a31-5430720eca62",
"page":"/cheesemax",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2Fcheesemax-7.txt"
}
},
{
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"page_id":8,
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"updated_at":"2025-02-05 15:18:49.000000",
"uuid":"9d5a3e6c-9c6a-4308-b0b1-4a76852f2904",
"page":"/bolg2",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2Fbolg2-8.txt"
}
},
{
"stdClass":{
"id":9,
"knowledgebase_crawler_id":226,
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"created_at":"2024-10-28 09:53:19.000000",
"updated_at":"2025-02-05 15:18:46.000000",
"uuid":"9d5a3e6c-a7a1-407b-841e-b99e00d1366c",
"page":"/Covid19Stats",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2FCovid19Stats-9.txt"
}
},
{
"stdClass":{
####################
File: dupes.txt
Page: 1
Context: }
},
{
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}
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"updated_at":"2025-02-05 15:18:54.000000",
"uuid":"9d5a3e6c-b94c-4773-839a-074fa1326a53",
"page":"/RockPaperScissorsGame",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2FRockPaperScissorsGame-11.txt"
}
},
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"updated_at":"2025-02-05 15:18:56.000000",
"uuid":"9d5a3e6c-c25a-4340-9c94-a588043047ad",
####################
File: dupes.txt
Page: 1
Context: "page":"/dbxmp",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2Fdbxmp-12.txt"
}
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"page":"/gdmp",
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}
},
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"page":"/bolg2/#",
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}
},
{
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"created_at":"2024-10-28 09:53:47.000000",
####################
File: dupes.txt
Page: 1
Context: "updated_at":"2025-02-05 15:19:22.000000",
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"knowledgebase_crawler_id":226,
"page_id":50,
"created_at":"2024-10-28 09:53:55.000000",
"updated_at":"2025-02-05 15:20:37.000000",
"uuid":"9d5a3ea3-84ed-48db-814d-8b1d90e20319",
"page":"/RockPaperScissorsGame/#/rock",
"domain_id":2,
"is_viewed":0,
"txt_path":"crawler/page-content/jonasbros-github-io-2FRockPaperScissorsGame-2F-23-2Frock-50.txt"
}
}
]
}
####################
File: apacare-primer%282%29.txt
Page: 1
Context: You are a digital sales rep for ApaCare, a dental care company. Please assist clients with their dental-related questions.
Use German in your responses.
Start by asking a general question:
"Are you looking for a specific type of dental product or advice?"
If they are looking for advice, proceed with a questionnaire about their dental care needs:
Are they focusing on whitening, sensitivity, gum health, or general hygiene?
Try to ask a questionnaire to have clients describe their problems.
If they are looking for dental products:
give them a product suggestion from ApaCare only.
If they are not looking for dental products or advice, skip to general suggestions or conversation.
Once the questionnaire is complete:
Suggest a product and do not repeat the questionnaire unless explicitly requested.
Format the questionnaire to be readable for the users, like a list or similar.
When suggesting a product:
Look for the relevant product's page in the context.
Provide a detailed suggestion with an anchor tag link. Ensure the target attribute is set to "__blank" and use this format:
[replace this with the product name]
All links should have "__blank" target attribute.
Don't translate links href to German.
Include related video suggestions:
Search YouTube for videos about the product or topic (e.g., how to use an electric toothbrush, flossing techniques).
Embed the video in an iframe using this format:
VIDEO
For Google Drive videos, append /preview to the link and embed it:
For public URL video links, use the tag:
If no videos are available, skip the multimedia content.
Guidelines:
Focus on promoting ApaCare's dental care products onlyâdo not suggest competitors.
Suggest ApaCare's products as much as possible.
Suggest products from ApaCare's website's products page.
Answer general dental hygiene questions, offer maintenance tips (e.g., replacing toothbrush heads, flossing properly), or provide product-related FAQs.
Use engaging emojis where applicable (e.g., ð¦·â¨ for whitening, 𪥠for toothbrushes).
Once a product is suggested:
Avoid repeating the questionnaire unless the user requests it.
Offer general dental care tips, product care advice, or related topics to keep the conversation engaging.
For users who are unsure:
Provide a list of recommendations based on common concerns:
Whitening toothpaste
Electric toothbrushes for sensitive gums
Don't tag your company's products links, videos, faq, etc. as copyright infringement.
Give a disclaimer at the end of suggestions/advices like "I am not a real doctor, but I can provide tips based on expert recommendations. Please feel free to contact our team anytime!" or similar.
####################
File: apacare-primer%282%29.txt
Page: 1
Context: You are a digital sales rep for ApaCare, a dental care company. Please assist clients with their dental-related questions.
Use German in your responses.
Start by asking a general question:
"Are you looking for a specific type of dental product or advice?"
If they are looking for advice, proceed with a questionnaire about their dental care needs:
Are they focusing on whitening, sensitivity, gum health, or general hygiene?
Try to ask a questionnaire to have clients describe their problems.
If they are looking for dental products:
give them a product suggestion from ApaCare only.
If they are not looking for dental products or advice, skip to general suggestions or conversation.
Once the questionnaire is complete:
Suggest a product and do not repeat the questionnaire unless explicitly requested.
Format the questionnaire to be readable for the users, like a list or similar.
When suggesting a product:
Look for the relevant product's page in the context.
Provide a detailed suggestion with an anchor tag link. Ensure the target attribute is set to "__blank" and use this format:
[replace this with the product name]
All links should have "__blank" target attribute.
Don't translate links href to German.
Include related video suggestions:
Search YouTube for videos about the product or topic (e.g., how to use an electric toothbrush, flossing techniques).
Embed the video in an iframe using this format:
VIDEO
For Google Drive videos, append /preview to the link and embed it:
For public URL video links, use the tag:
If no videos are available, skip the multimedia content.
Guidelines:
Focus on promoting ApaCare's dental care products onlyâdo not suggest competitors.
Suggest ApaCare's products as much as possible.
Suggest products from ApaCare's website's products page.
Answer general dental hygiene questions, offer maintenance tips (e.g., replacing toothbrush heads, flossing properly), or provide product-related FAQs.
Use engaging emojis where applicable (e.g., ð¦·â¨ for whitening, 𪥠for toothbrushes).
Once a product is suggested:
Avoid repeating the questionnaire unless the user requests it.
Offer general dental care tips, product care advice, or related topics to keep the conversation engaging.
For users who are unsure:
Provide a list of recommendations based on common concerns:
Whitening toothpaste
Electric toothbrushes for sensitive gums
Don't tag your company's products links, videos, faq, etc. as copyright infringement.
Give a disclaimer at the end of suggestions/advices like "I am not a real doctor, but I can provide tips based on expert recommendations. Please feel free to contact our team anytime!" or similar.
####################
File: apacare-primer%282%29.txt
Page: 1
Context: You are a digital sales rep for ApaCare, a dental care company. Please assist clients with their dental-related questions.
Use German in your responses.
Start by asking a general question:
"Are you looking for a specific type of dental product or advice?"
If they are looking for advice, proceed with a questionnaire about their dental care needs:
Are they focusing on whitening, sensitivity, gum health, or general hygiene?
Try to ask a questionnaire to have clients describe their problems.
If they are looking for dental products:
give them a product suggestion from ApaCare only.
If they are not looking for dental products or advice, skip to general suggestions or conversation.
Once the questionnaire is complete:
Suggest a product and do not repeat the questionnaire unless explicitly requested.
Format the questionnaire to be readable for the users, like a list or similar.
When suggesting a product:
Look for the relevant product's page in the context.
Provide a detailed suggestion with an anchor tag link. Ensure the target attribute is set to "__blank" and use this format:
[replace this with the product name]
All links should have "__blank" target attribute.
Don't translate links href to German.
Include related video suggestions:
Search YouTube for videos about the product or topic (e.g., how to use an electric toothbrush, flossing techniques).
Embed the video in an iframe using this format:
VIDEO
For Google Drive videos, append /preview to the link and embed it:
For public URL video links, use the tag:
If no videos are available, skip the multimedia content.
Guidelines:
Focus on promoting ApaCare's dental care products onlyâdo not suggest competitors.
Suggest ApaCare's products as much as possible.
Suggest products from ApaCare's website's products page.
Answer general dental hygiene questions, offer maintenance tips (e.g., replacing toothbrush heads, flossing properly), or provide product-related FAQs.
Use engaging emojis where applicable (e.g., ð¦·â¨ for whitening, 𪥠for toothbrushes).
Once a product is suggested:
Avoid repeating the questionnaire unless the user requests it.
Offer general dental care tips, product care advice, or related topics to keep the conversation engaging.
For users who are unsure:
Provide a list of recommendations based on common concerns:
Whitening toothpaste
Electric toothbrushes for sensitive gums
Don't tag your company's products links, videos, faq, etc. as copyright infringement.
Give a disclaimer at the end of suggestions/advices like "I am not a real doctor, but I can provide tips based on expert recommendations. Please feel free to contact our team anytime!" or similar.
####################
File: chatbot-error.txt
Page: 1
Context: INFO: 172.17.0.1:57890 - "POST /kios/knowledgebase/flexible-query/ HTTP/1.1" 500 Internal Server Error
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/httptools_impl.py", line 426, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", line 84, in __call__
return await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/fastapi/applications.py", line 289, in __call__
await super().__call__(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/applications.py", line 122, in __call__
await self.middleware_stack(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 184, in __call__
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 162, in __call__
await self.app(scope, receive, _send)
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py", line 83, in __call__
await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", line 79, in __call__
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", line 68, in __call__
await self.app(scope, receive, sender)
File "/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", line 20, in __call__
raise e
####################
File: chatbot-error.txt
Page: 1
Context: raise e
File "/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", line 17, in __call__
await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 718, in __call__
await route.handle(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 276, in handle
await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 66, in app
response = await func(request)
File "/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", line 273, in app
raw_response = await run_endpoint_function(
File "/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", line 192, in run_endpoint_function
return await run_in_threadpool(dependant.call, **values)
File "/usr/local/lib/python3.10/dist-packages/starlette/concurrency.py", line 41, in run_in_threadpool
return await anyio.to_thread.run_sync(func, *args)
File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
File "/app/main.py", line 1020, in kios_retrieve_information
return process_single_query(
File "/app/main.py", line 1053, in process_single_query
provider = AIProviders(input.model, ws_connection)
File "/app/ai_providers.py", line 15, in __init__
####################
File: chatbot-error.txt
Page: 1
Context: File "/app/ai_providers.py", line 15, in __init__
self.set_provider(model)
File "/app/ai_providers.py", line 29, in set_provider
self.provider = Gemini(self.model)
File "/app/providers/gemini.py", line 10, in __init__
random_key = random.choice(config.settings.GEMINI_API_KEYS)
File "/usr/lib/python3.10/random.py", line 378, in choice
return seq[self._randbelow(len(seq))]
IndexError: list index out of range
####################
File: link.txt
Page: 1
Context: rebecca black's friday youtube link
https://www.youtube.com/watch?v=dQw4w9WgXcQ
####################
File: gpt-vector-dimension-error.txt
Page: 1
Context: 2025-01-23 15:23:13 =======================
2025-01-23 15:23:13 CHAT RECEIVED
2025-01-23 15:23:13 =======================
2025-01-23 15:23:18 INFO: 172.18.0.1:56228 - "POST /kios/knowledgebase/flexible-query/ HTTP/1.1" 500 Internal Server Error
2025-01-23 15:23:18 ERROR: Exception in ASGI application
2025-01-23 15:23:18 Traceback (most recent call last):
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/httptools_impl.py", line 426, in run_asgi
2025-01-23 15:23:18 result = await app( # type: ignore[func-returns-value]
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", line 84, in __call__
2025-01-23 15:23:18 return await self.app(scope, receive, send)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/fastapi/applications.py", line 289, in __call__
2025-01-23 15:23:18 await super().__call__(scope, receive, send)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/applications.py", line 122, in __call__
2025-01-23 15:23:18 await self.middleware_stack(scope, receive, send)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 184, in __call__
2025-01-23 15:23:18 raise exc
####################
File: gpt-vector-dimension-error.txt
Page: 1
Context: 2025-01-23 15:23:18 raise exc
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 162, in __call__
2025-01-23 15:23:18 await self.app(scope, receive, _send)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py", line 83, in __call__
2025-01-23 15:23:18 await self.app(scope, receive, send)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", line 79, in __call__
2025-01-23 15:23:18 raise exc
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", line 68, in __call__
2025-01-23 15:23:18 await self.app(scope, receive, sender)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", line 20, in __call__
2025-01-23 15:23:18 raise e
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", line 17, in __call__
2025-01-23 15:23:18 await self.app(scope, receive, send)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 718, in __call__
2025-01-23 15:23:18 await route.handle(scope, receive, send)
####################
File: gpt-vector-dimension-error.txt
Page: 1
Context: 2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 276, in handle
2025-01-23 15:23:18 await self.app(scope, receive, send)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 66, in app
2025-01-23 15:23:18 response = await func(request)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", line 273, in app
2025-01-23 15:23:18 raw_response = await run_endpoint_function(
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", line 192, in run_endpoint_function
2025-01-23 15:23:18 return await run_in_threadpool(dependant.call, **values)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/starlette/concurrency.py", line 41, in run_in_threadpool
2025-01-23 15:23:18 return await anyio.to_thread.run_sync(func, *args)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
2025-01-23 15:23:18 return await get_asynclib().run_sync_in_worker_thread(
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
2025-01-23 15:23:18 return await future
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
####################
File: gpt-vector-dimension-error.txt
Page: 1
Context: 2025-01-23 15:23:18 result = context.run(func, *args)
2025-01-23 15:23:18 File "/app/main.py", line 2018, in kios_retrieve_information_via_chat
2025-01-23 15:23:18 search_results = docsearch.max_marginal_relevance_search_by_vector(res.data[0].embedding,k=actual_k, fetch_k=top_k)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/langchain_pinecone/vectorstores.py", line 307, in max_marginal_relevance_search_by_vector
2025-01-23 15:23:18 results = self._index.query(
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/utils/error_handling.py", line 10, in inner_func
2025-01-23 15:23:18 return func(*args, **kwargs)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/data/index.py", line 399, in query
2025-01-23 15:23:18 response = self._vector_api.query(
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", line 772, in __call__
2025-01-23 15:23:18 return self.callable(self, *args, **kwargs)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api/data_plane_api.py", line 844, in __query
2025-01-23 15:23:18 return self.call_with_http_info(**kwargs)
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", line 834, in call_with_http_info
####################
File: gpt-vector-dimension-error.txt
Page: 1
Context: 2025-01-23 15:23:18 return self.api_client.call_api(
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", line 409, in call_api
2025-01-23 15:23:18 return self.__call_api(resource_path, method,
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", line 203, in __call_api
2025-01-23 15:23:18 raise e
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", line 196, in __call_api
2025-01-23 15:23:18 response_data = self.request(
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", line 455, in request
2025-01-23 15:23:18 return self.rest_client.POST(url,
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/rest.py", line 302, in POST
2025-01-23 15:23:18 return self.request("POST", url,
2025-01-23 15:23:18 File "/usr/local/lib/python3.10/dist-packages/pinecone/core/client/rest.py", line 261, in request
2025-01-23 15:23:18 raise PineconeApiException(http_resp=r)
2025-01-23 15:23:18 pinecone.core.client.exceptions.PineconeApiException: (400)
2025-01-23 15:23:18 Reason: Bad Request
####################
File: gpt-vector-dimension-error.txt
Page: 1
Context: 2025-01-23 15:23:18 Reason: Bad Request
2025-01-23 15:23:18 HTTP response headers: HTTPHeaderDict({'content-type': 'application/json', 'Content-Length': '104', 'x-pinecone-request-latency-ms': '73', 'x-pinecone-request-id': '5221281482731493865', 'date': 'Thu, 23 Jan 2025 07:23:09 GMT', 'x-envoy-upstream-service-time': '17', 'server': 'envoy', 'Via': '1.1 google', 'Alt-Svc': 'h3=":443"; ma=2592000,h3-29=":443"; ma=2592000'})
2025-01-23 15:23:18 HTTP response body: {"code":3,"message":"Vector dimension 3072 does not match the dimension of the index 1536","details":[]}
####################
File: gemini-quota-error.txt
Page: 1
Context: 429 error fires even when not doing load test
2025-01-23 15:14:08 =======================
2025-01-23 15:14:08 CHAT RECEIVED
2025-01-23 15:14:08 =======================
2025-01-23 15:14:09 Retrying langchain_google_vertexai.chat_models._completion_with_retry.._completion_with_retry_inner in 4.0 seconds as it raised ResourceExhausted: 429 Quota exceeded for aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model with base model: gemini-1.5-pro. Please submit a quota increase request. https://cloud.google.com/vertex-ai/docs/generative-ai/quotas-genai..
2025-01-23 15:14:14 Retrying langchain_google_vertexai.chat_models._completion_with_retry.._completion_with_retry_inner in 4.0 seconds as it raised ResourceExhausted: 429 Quota exceeded for aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model with base model: gemini-1.5-pro. Please submit a quota increase request. https://cloud.google.com/vertex-ai/docs/generative-ai/quotas-genai..
####################
File: crawler-issues-19MAR2025%20-%20Copy.txt
Page: 1
Context: - if CrawlerJob fails statues will never update, import status wont update
(add failed() method -> create CrawlerProcess with failed status, record last process time??)
- if CrawlerProcessJob fails before recording last process time ("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), now());") the status will never upate
- importing failed Crawler pages still marked success
- if CrawlerFilesJob fails CrawlerProcess status wont update
- if CrawlerPrepareKnowledgebaseTrainingJob fails import status wont update
- CrawlerFilesProcessTrainingJob@handleProcessingError -- failed items are marked as processed/success.
should be markItemAsFailed() same as in CrawlerPageProcessTrainingJob?
- Finalizing Logic Duplication
The completion checking and finalization logic is duplicated across multiple jobs:
CrawlerPageProcessTrainingJob::checkCompletionAndFinalize
CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize
CheckKnowledgebaseCrawlerImportCompletion::handle
Each has subtle differences, creating opportunities for inconsistent behavior.
- Unreliable S3 File Operations
File operations on S3 have minimal error handling:
$this->filesystem->put($s3Path, $newContent);
return $this->filesystem->url($s3Path);
If the S3 put operation fails silently, subsequent code would continue with a URL to a non-existent file.
- try using knowledgebase_crawler_imports table instead of cache for counting since it's already implemented?
update counts every x seconds instead of realtime updates?
- CrawlerFileProcessTrainingJob and/or CrawlerPageProcessTrainingJob failure not marking KnowledgebaseCrawler as fail
- KnowledgebaseCrawlerImport fails getting deleted after
####################
File: crawler-issues-19MAR2025%20-%20Copy%20%282%29%20-%20Copy.txt
Page: 1
Context: - if CrawlerJob fails statues will never update, import status wont update
(add failed() method -> create CrawlerProcess with failed status, record last process time??)
- if CrawlerProcessJob fails before recording last process time ("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), now());") the status will never upate
- importing failed Crawler pages still marked success
- if CrawlerFilesJob fails CrawlerProcess status wont update
- if CrawlerPrepareKnowledgebaseTrainingJob fails import status wont update
- CrawlerFilesProcessTrainingJob@handleProcessingError -- failed items are marked as processed/success.
should be markItemAsFailed() same as in CrawlerPageProcessTrainingJob?
- Finalizing Logic Duplication
The completion checking and finalization logic is duplicated across multiple jobs:
CrawlerPageProcessTrainingJob::checkCompletionAndFinalize
CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize
CheckKnowledgebaseCrawlerImportCompletion::handle
Each has subtle differences, creating opportunities for inconsistent behavior.
- Unreliable S3 File Operations
File operations on S3 have minimal error handling:
$this->filesystem->put($s3Path, $newContent);
return $this->filesystem->url($s3Path);
If the S3 put operation fails silently, subsequent code would continue with a URL to a non-existent file.
- try using knowledgebase_crawler_imports table instead of cache for counting since it's already implemented?
update counts every x seconds instead of realtime updates?
- CrawlerFileProcessTrainingJob and/or CrawlerPageProcessTrainingJob failure not marking KnowledgebaseCrawler as fail
- KnowledgebaseCrawlerImport fails getting deleted after
####################
File: crawler-issues-19MAR2025%20-%20Copy%20%282%29.txt
Page: 1
Context: - if CrawlerJob fails statues will never update, import status wont update
(add failed() method -> create CrawlerProcess with failed status, record last process time??)
- if CrawlerProcessJob fails before recording last process time ("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), now());") the status will never upate
- importing failed Crawler pages still marked success
- if CrawlerFilesJob fails CrawlerProcess status wont update
- if CrawlerPrepareKnowledgebaseTrainingJob fails import status wont update
- CrawlerFilesProcessTrainingJob@handleProcessingError -- failed items are marked as processed/success.
should be markItemAsFailed() same as in CrawlerPageProcessTrainingJob?
- Finalizing Logic Duplication
The completion checking and finalization logic is duplicated across multiple jobs:
CrawlerPageProcessTrainingJob::checkCompletionAndFinalize
CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize
CheckKnowledgebaseCrawlerImportCompletion::handle
Each has subtle differences, creating opportunities for inconsistent behavior.
- Unreliable S3 File Operations
File operations on S3 have minimal error handling:
$this->filesystem->put($s3Path, $newContent);
return $this->filesystem->url($s3Path);
If the S3 put operation fails silently, subsequent code would continue with a URL to a non-existent file.
- try using knowledgebase_crawler_imports table instead of cache for counting since it's already implemented?
update counts every x seconds instead of realtime updates?
- CrawlerFileProcessTrainingJob and/or CrawlerPageProcessTrainingJob failure not marking KnowledgebaseCrawler as fail
- KnowledgebaseCrawlerImport fails getting deleted after
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"""ANFRAGE: Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context"""
Berücksichtigen Sie den Chatverlauf für relevante Informationen. Wenn die Anfrage bereits in der Historie gestellt wurde, überprüfen Sie die Richtigkeit Ihrer Antwort und korrigieren Sie gegebenenfalls Ihren vorherigen Fehler.For tables, please use the basic GFM table syntax and do NOT include any extra whitespace or tabs for alignment.
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FINAL ANSWER
Final Answer: Hier ist eine Zusammenfassung des gesamten Kontexts, unterteilt nach Datei:
**apacare-primer(1).txt & apacare-primer.txt & apacare-primer(2).txt:** Diese Dateien enthalten Anweisungen für einen digitalen Vertriebsmitarbeiter von ApaCare, einem Zahnpflegeunternehmen. Der Mitarbeiter soll Kunden bei Fragen zur Zahnpflege auf Deutsch unterstützen. Die Anweisungen beschreiben, wie man mit Kunden interagiert, Fragebögen zu deren Bedürfnissen erstellt, ApaCare-Produkte empfiehlt und Multimedia-Inhalte (Videos) einbindet. Es wird betont, nur ApaCare-Produkte zu bewerben und einen Haftungsausschluss am Ende der Beratung anzubieten.
**crawler-issues-19MAR2025(2).txt & crawler-issues-19MAR2025.txt & crawler-issues-19MAR2025(1).txt & crawler-issues-19MAR2025 - Copy.txt & crawler-issues-19MAR2025 - Copy (2) - Copy.txt & crawler-issues-19MAR2025 - Copy (2).txt:** Diese Dateien enthalten eine Liste von Fehlern und Problemen im Zusammenhang mit einem Crawler-System. Die Probleme umfassen Statusaktualisierungen, die nicht zuverlässig funktionieren, fehlerhafte Importe, redundante Logik in der Abschlussverarbeitung und unzuverlässige S3-Dateioperationen. Es werden Verbesserungsvorschläge gemacht, wie z.B. die Verwendung einer Datenbanktabelle anstelle des Caches zur Zählung und die Verbesserung der Fehlerbehandlung bei S3-Operationen.
**dupes.txt:** Diese Datei enthält ein JSON-Objekt mit einer Liste von Objekten. Jedes Objekt repräsentiert eine Webseite, die von einem Crawler erfasst wurde, inklusive Metadaten wie ID, `knowledgebase_crawler_id`, `page_id`, Zeitstempel, UUID, URL und Pfad zur gespeicherten Textdatei. Die Daten deuten auf eine Datenbanktabelle hin, die Informationen zu gecrawlten Webseiten speichert.
**chatbot-error.txt:** Diese Datei enthält einen Stacktrace eines Fehlers in einer Chatbot-Anwendung. Der Fehler ist ein `IndexError: list index out of range`, der in der `random.choice`-Funktion auftritt, weil die Liste der Gemini-API-Schlüssel leer ist.
**link.txt:** Diese Datei enthält lediglich einen YouTube-Link zu Rebecca Blacks "Friday".
**gpt-vector-dimension-error.txt:** Diese Datei enthält einen Log-Eintrag, der einen 500er Fehler in einer Anwendung beschreibt. Die Fehlermeldung zeigt einen `PineconeApiException` mit der Nachricht an, dass die Dimension der Vektoren (3072) nicht mit der Dimension des Index (1536) übereinstimmt.
**gemini-quota-error.txt:** Diese Datei dokumentiert einen 429er Fehler ("Quota exceeded"), der bei der Verwendung des Google Gemini-Modells auftritt. Der Fehler deutet auf ein Problem mit den API-Quoten hin.
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SERVICES
Services: [{'type': 'chat', 'model': 'gemini-1.5-flash', 'input_tokens': 25118, 'output_tokens': 668, 'total_tokens': 25786}]
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