{ "meta": { "complete": true, "started_at": "2025-02-25 23:22:34.576128Z", "commit": "8eb57e98b3e8aecc629ca7f4b137b01b0f5a77d5", "platform": { "cargo_version": "cargo 1.84.1 (66221abde 2024-11-19)", "rustc_version": "rustc 1.84.1 (e71f9a9a9 2025-01-27)", "python_version": "3.10.12", "platform": "Linux-5.15.0-133-generic-x86_64-with-glibc2.35" }, "rand_seed": 2025225232234, "ended_at": "2025-02-26 00:11:13.124361Z", "elapsed_ms": 2918548, "ragit_version": "ragit 0.3.1-dev", "commit_title": "fix image reader", "commit_message": "I guess it fixes 060b963a.\n" }, "tests": { "cargo_tests": { "seq": 0, "pass": true, "error": null, "elapsed_ms": 124840 }, "add_and_rm": { "seq": 1, "pass": true, "error": null, "elapsed_ms": 33370 }, "add_and_rm2": { "seq": 2, "pass": true, "error": null, "elapsed_ms": 8605 }, "ignore": { "seq": 3, "pass": true, "error": null, "elapsed_ms": 2956 }, "recover": { "seq": 4, "pass": true, "error": null, "elapsed_ms": 2886 }, "clone": { "seq": 5, "pass": true, "error": null, "elapsed_ms": 95325 }, "clone2": { "seq": 6, "pass": true, "error": null, "elapsed_ms": 5897 }, "cli": { "seq": 7, "pass": true, "error": null, "elapsed_ms": 3447 }, "archive": { "seq": 8, "pass": true, "error": null, "elapsed_ms": 191308 }, "many_chunks": { "seq": 9, "pass": true, "error": null, "elapsed_ms": 574261 }, "many_jobs": { "seq": 10, "pass": true, "error": null, "elapsed_ms": 135007 }, "ls": { "seq": 11, "pass": true, "error": null, "elapsed_ms": 68001 }, "meta": { "seq": 12, "pass": true, "error": null, "elapsed_ms": 1604 }, "symlink": { "seq": 13, "pass": true, "error": null, "elapsed_ms": 2897 }, "ii": { "seq": 14, "pass": false, "error": "tfidf result on term 'search gpg annot select earlier' is not close enough. error: `answer[0] not in approximation`, answer: ['c5719c769542cb0cde49558784948082703f2da9618c29d80000000100000fb3', '6d1b2eeef26e5ce9672e62a7ca43412c66b86ad0e48d27620000000100000fa0', '606389435f969a017ad1cf63a7a30eba0d1a08c743efea9f0000000100000318', 'f386d96798aad5baf548b6985b367932bdc89483b756b515000000010000081f', 'c66345d5ab119b4cf05a6899472b54a4fd0041ee2b83b9f80000000100000fa2', '509b4b369f9f9729365a6947ce43335209d934562feeb7220000000100000fa2', '82ad9747a31109a3ef965e4168a0968cb56a448390416e290000000100000bf5', '32554f9be3b61155179977f424364fff96202b51535d30090000000100000909', '7472ab4509992e5940b2f3a91f52b507ae2ad379b627943b0000000100000fa4', '3e0d93ece16c10490435c08b7b755db9a57e53b818a9e62c0000000100000fa3'], approximation: ['7472ab4509992e5940b2f3a91f52b507ae2ad379b627943b0000000100000fa4', 'c66345d5ab119b4cf05a6899472b54a4fd0041ee2b83b9f80000000100000fa2', '4beba6c006a8fbdfd72cc5210437cc899f46f395c987e23e0000000100000fa3', 'c4196c255a8610593944d2f32671d9149827cc32b6a8c82a0000000100000e4b', 'ba0bb24aad260afdc95df8db0971e1043e931cce7e88f1020000000100000faa', '509b4b369f9f9729365a6947ce43335209d934562feeb7220000000100000fa2', '9a612907f290740621462e08e2830268d09ac26e9cff873a0000000100000923', '44d60659215a52584298fa4fffeb6d5e0a81f4ae2347b5c90000000100000fa9', '3db111125d5584b0b57d5bcd77f1606387f2eeb763ff7c7e0000000100000ca7', '06c3deffb849cbabcfd04707b4f485056b2834d2ad216ab70000000100000e51']\nTraceback (most recent call last):\n File \"/home/baehyunsol/Documents/ragit/tests/ii.py\", line 100, in ii_worker\n raise AssertionError(f\"answer[{i}] not in approximation\")\nAssertionError: answer[0] not in approximation\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/baehyunsol/Documents/ragit/tests/tests.py\", line 437, in \n test()\n File \"/home/baehyunsol/Documents/ragit/tests/ii.py\", line 49, in ii\n ii_worker()\n File \"/home/baehyunsol/Documents/ragit/tests/ii.py\", line 116, in ii_worker\n raise AssertionError(f\"tfidf result on term '{term}' is not close enough. error: `{e}`, answer: {answer}, approximation: {approximation}\")\nAssertionError: tfidf result on term 'search gpg annot select earlier' is not close enough. error: `answer[0] not in approximation`, answer: ['c5719c769542cb0cde49558784948082703f2da9618c29d80000000100000fb3', '6d1b2eeef26e5ce9672e62a7ca43412c66b86ad0e48d27620000000100000fa0', '606389435f969a017ad1cf63a7a30eba0d1a08c743efea9f0000000100000318', 'f386d96798aad5baf548b6985b367932bdc89483b756b515000000010000081f', 'c66345d5ab119b4cf05a6899472b54a4fd0041ee2b83b9f80000000100000fa2', '509b4b369f9f9729365a6947ce43335209d934562feeb7220000000100000fa2', '82ad9747a31109a3ef965e4168a0968cb56a448390416e290000000100000bf5', '32554f9be3b61155179977f424364fff96202b51535d30090000000100000909', '7472ab4509992e5940b2f3a91f52b507ae2ad379b627943b0000000100000fa4', '3e0d93ece16c10490435c08b7b755db9a57e53b818a9e62c0000000100000fa3'], approximation: ['7472ab4509992e5940b2f3a91f52b507ae2ad379b627943b0000000100000fa4', 'c66345d5ab119b4cf05a6899472b54a4fd0041ee2b83b9f80000000100000fa2', '4beba6c006a8fbdfd72cc5210437cc899f46f395c987e23e0000000100000fa3', 'c4196c255a8610593944d2f32671d9149827cc32b6a8c82a0000000100000e4b', 'ba0bb24aad260afdc95df8db0971e1043e931cce7e88f1020000000100000faa', '509b4b369f9f9729365a6947ce43335209d934562feeb7220000000100000fa2', '9a612907f290740621462e08e2830268d09ac26e9cff873a0000000100000923', '44d60659215a52584298fa4fffeb6d5e0a81f4ae2347b5c90000000100000fa9', '3db111125d5584b0b57d5bcd77f1606387f2eeb763ff7c7e0000000100000ca7', '06c3deffb849cbabcfd04707b4f485056b2834d2ad216ab70000000100000e51']\n", "elapsed_ms": 150686 }, "cat_file": { "seq": 15, "pass": true, "error": null, "elapsed_ms": 15370 }, "images": { "seq": 16, "pass": true, "error": null, "elapsed_ms": 3932 }, "markdown_reader": { "seq": 17, "pass": true, "error": null, "elapsed_ms": 4880 }, "csv_reader": { "seq": 18, "pass": true, "error": null, "elapsed_ms": 2323 }, "subdir": { "seq": 19, "pass": true, "error": null, "elapsed_ms": 8592 }, "tfidf": { "seq": 20, "pass": true, "error": null, "elapsed_ms": 9905 }, "merge": { "seq": 21, "pass": true, "error": null, "elapsed_ms": 13279 }, "external_bases": { "seq": 22, "pass": true, "error": null, "elapsed_ms": 35907 }, "end_to_end dummy": { "seq": 23, "pass": true, "error": null, "elapsed_ms": 39488 }, "end_to_end llama3.3-70b": { "seq": 24, "pass": true, "error": null, "elapsed_ms": 69967 }, "prompts dummy": { "seq": 25, "pass": true, "error": null, "elapsed_ms": 5323 }, "prompts gpt-4o-mini": { "seq": 26, "pass": true, "error": null, "elapsed_ms": 54737 }, "prompts claude-3.5-sonnet": { "seq": 27, "pass": true, "error": null, "elapsed_ms": 433599 }, "empty dummy": { "seq": 28, "pass": true, "error": null, "elapsed_ms": 2616 }, "empty llama3.3-70b": { "seq": 29, "pass": true, "error": null, "elapsed_ms": 3536 }, "images2 gpt-4o-mini": { "seq": 30, "pass": true, "error": null, "elapsed_ms": 13047 }, "images3 gpt-4o-mini": { "seq": 31, "pass": true, "error": null, "elapsed_ms": 11237 }, "web_images gpt-4o-mini": { "seq": 32, "pass": true, "error": null, "elapsed_ms": 30185 }, "images2 claude-3.5-sonnet": { "seq": 33, "pass": true, "error": null, "elapsed_ms": 10114 }, "extract_keywords dummy": { "seq": 34, "pass": true, "error": null, "elapsed_ms": 1552 }, "extract_keywords gpt-4o-mini": { "seq": 35, "pass": true, "error": null, "elapsed_ms": 11017 }, "ragit_api command-r": { "seq": 36, "pass": true, "error": null, "elapsed_ms": 1738 }, "migrate": { "seq": 37, "pass": true, "error": null, "elapsed_ms": 90796 }, "migrate2": { "seq": 38, "pass": true, "error": null, "elapsed_ms": 616929 } }, "result": { "total": 39, "complete": 39, "pass": 38, "fail": 1, "remaining": 0 } }