2025-10-16T11:20:04.397: current working dir: /root/qa/mctester.
2025-10-16T11:20:04.440: current logging dir: ../mctester/www.
2025-10-16T11:20:04.440: ---------------------------------------------------------------
2025-10-16T11:20:04.447: mctester entry: 2025-10-16T11:20:04.441226 mode=10
2025-10-16T11:20:04.447: ---------------------------------------------------------------
2025-10-16T11:20:04.518: EXE: 1/git describe --tags.
2025-10-16T11:20:04.529: Row 1: v1.1-494-g45cee6d.
2025-10-16T11:20:04.530: EXE: 1/git rev-list --count HEAD.
2025-10-16T11:20:04.537: Row 1: 551.
2025-10-16T11:20:04.538: EXE: 1/git rev-parse HEAD.
2025-10-16T11:20:04.540: Row 1: 45cee6d9f6eab125f831db2c3089b904511d840e.
2025-10-16T11:20:04.549: mctester: v1.1.551 (45cee6d9f6eab125f831db2c3089b904511d840e).
2025-10-16T11:20:04.549: Entering into a RunTestset1+dash mode.
2025-10-16T11:20:04.551: ------ test: start, 2025-10-16T11:20:04.550
2025-10-16T11:20:04.553: ------ test: 16
2025-10-16T11:20:04.555: URL: https://megatron.headai.com/TextToMindMap?token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&language=fi&ontology=headai&search_text=python&word_type=&noise=full&prediction_type=linear&cluster_name=TT_EL&country=fi&months=12&size=20&city=&output=json&dataset=job_ads&update=true
2025-10-16T11:20:04.987: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_l95CucoiPR1759267205141.json"}.
2025-10-16T11:20:14.988: URL: https://megatron.headai.com/TextToMindMap?token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&language=fi&ontology=headai&search_text=python&word_type=&noise=full&prediction_type=linear&cluster_name=TT_EL&country=fi&months=12&size=20&city=&output=json&dataset=job_ads
2025-10-16T11:20:15.334: SUC: 10433ms, ready", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_l95CucoiPR1759267205141.json"}, length 129.
2025-10-16T11:20:15.334: URL: https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_l95CucoiPR1759267205141.json
2025-10-16T11:20:15.353: SUC: 10779ms, development", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 2, "value": 545, "label": "english", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 3, "value": 710, "label": "international", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 4, "value": 259, "label": "programming", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 5, "value": 792, "label": "engineering", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 6, "value": 246, "label": "tools", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 7, "value": 683, "label": "data", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 8, "value": 697, "label": "testing", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 9, "value": 643, "label": "automation", "group": "1", "search_center": "false", "explain_api_, length 9276.
2025-10-16T11:20:15.363: ------ test: 23
2025-10-16T11:20:15.363: URL: https://megatron.headai.com/WordToRelations?dataset=theseus_database&language=fi&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&word=viitekehys
2025-10-16T11:20:15.390: SUC: 27ms, organisaatio" },{"id": 4, "label": "tutkimuk" },{"id": 5, "label": "yhteistyö" },{"id": 6, "label": "media" },{"id": 7, "label": "opas" },{"id": 8, "label": "tutkimusmenetelmä" },{"id": 9, "label": "tulos" },{"id": 10, "label": "tutkimusmenetelm" },{"id": 11, "label": "tutkimusaineisto" },{"id": 12, "label": "palvelumuotoilu" },{"id": 13, "label": "esimiestyö" },{"id": 14, "label": "kehittämise" },{"id": 15, "label": "hoitotyö" },{"id": 16, "label": "oppimi" },{"id": 17, "label": "sosiaalis" },{"id": 18, "label": "malli" },{"id": 19, "label": "lastensuojelu" },{"id": 20, "label": "prosess" },{"id": 21, "label": "asiak" },{"id": 22, "label": "esimies" },{"id": 23, "label": "harjoittelu" },{"id": 24, "label": "potil" },{"id": 25, "label": "oppimisympäristö" },{"id": 26, "label": "toimintaympäristö" },{"id": 27, "label": "liiketalous" },{"id": 28, "label": "sosiaalityö" },{"id": 29, "label": "business" },{"id": 30, "label": "tervey" },{"id": 31, "label": "port, length 1360.
2025-10-16T11:20:15.391: ------ test: 24
2025-10-16T11:20:15.391: URL: https://megatron.headai.com/WordToRelations?dataset=theseus_database&language=fi&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&word=viitekehys
2025-10-16T11:20:15.415: SUC: 23ms, palvelumuotoilu" },{"id": 13, "label": "esimiestyö" },{"id": 14, "label": "kehittämise" },{"id": 15, "label": "hoitotyö" },{"id": 16, "label": "oppimi" },{"id": 17, "label": "sosiaalis" },{"id": 18, "label": "malli" },{"id": 19, "label": "lastensuojelu" },{"id": 20, "label": "prosess" },{"id": 21, "label": "asiak" },{"id": 22, "label": "esimies" },{"id": 23, "label": "harjoittelu" },{"id": 24, "label": "potil" },{"id": 25, "label": "oppimisympäristö" },{"id": 26, "label": "toimintaympäristö" },{"id": 27, "label": "liiketalous" },{"id": 28, "label": "sosiaalityö" },{"id": 29, "label": "business" },{"id": 30, "label": "tervey" },{"id": 31, "label": "portfolio" },{"id": 32, "label": "sähköis" },{"id": 33, "label": "yrittäjä" },{"id": 34, "label": "johtajuu" },{"id": 35, "label": "taloushallinno" },{"id": 36, "label": "hotelli" }]},"build_info": "runtime: 1ms"}, length 1360.
2025-10-16T11:20:15.415: ------ test: 26
2025-10-16T11:20:15.417: URL: https://megatron.headai.com/TextToKeywords?language=en&text=Student%20understands%20the%20basic%20principles%20of%20data%20and%20software%20business%2C%20and%20the%20special%20characteristics%20of%20software%20industry.%20He%2Fshe%20can%20critically%20analyze%20how%20it%20is%20possible%20to%20monetize%20with%20data%20and%20software.%20He%2Fshe%20can%20analyze%20the%20feasibility%20of%20software%20business%20models.%20Student%20can%20apply%20theoretical%20knowledge%20and%20understanding%20of%20the%20data%20anad%20software%20business%20characteristics%20to%20create%20a%20solid%20lean%20canvas%20model%20for%20a%20software%20start-up.&ontology=headai&keyword_type=empty&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:20:15.745: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToKeywords/TextToKeywords_Dn2aVYSGae1759267216770.json"}.
2025-10-16T11:20:25.745: URL: https://megatron.headai.com/TextToKeywords?language=en&text=Student%20understands%20the%20basic%20principles%20of%20data%20and%20software%20business%2C%20and%20the%20special%20characteristics%20of%20software%20industry.%20He%2Fshe%20can%20critically%20analyze%20how%20it%20is%20possible%20to%20monetize%20with%20data%20and%20software.%20He%2Fshe%20can%20analyze%20the%20feasibility%20of%20software%20business%20models.%20Student%20can%20apply%20theoretical%20knowledge%20and%20understanding%20of%20the%20data%20anad%20software%20business%20characteristics%20to%20create%20a%20solid%20lean%20canvas%20model%20for%20a%20software%20start-up.&ontology=headai&keyword_type=empty&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:20:26.076: SUC: 10328ms, ready", "location": "https://megatron.headai.com/analysis/TextToKeywords/TextToKeywords_Dn2aVYSGae1759267216770.json"}, length 131.
2025-10-16T11:20:26.076: URL: https://megatron.headai.com/analysis/TextToKeywords/TextToKeywords_Dn2aVYSGae1759267216770.json
2025-10-16T11:20:26.088: SUC: 10659ms, industry. he she can critically analyze how it is possible to monetize with data and software. he she can analyze the feasibility of software business models. student can apply theoretical knowledge and understanding of the data anad software business characteristics to create a solid lean canvas model for a software start-up.","skills": [{"concept": "software", "displayname": "Software", "count": 4, "weight": 2.0, "relevancy": 8.0, "language": "en", "alternative_concepts": [],"relations": []}, {"concept": "business_to_business", "displayname": "Business to business", "count": 3, "weight": 5.0, "relevancy": 15.0, "language": "en", "alternative_concepts": [],"relations": []}, {"concept": "business_software", "displayname": "Business software", "count": 3, "weight": 3.0, "relevancy": 9.0, "language": "en", "alternative_concepts": [],"relations": []}, {"concept": "principle", "displayname": "Principle", "count": 1, "weight": 2.0, "relevancy": 2.0, "language": "en", "alternative_concepts", length 2916.
2025-10-16T11:20:26.089: ------ test: 27
2025-10-16T11:20:26.090: URL: https://megatron.headai.com/TextToMindMap?country=fi&ontology=headai&dataset=job_ads&cluster_name=&search_text=engineer&language=fi&months=12&size=20&city=&noise=full&prediction_type=linear&word_type=&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:20:26.421: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_sQZKQO3sMH1759267228045.json"}.
2025-10-16T11:20:36.421: URL: https://megatron.headai.com/TextToMindMap?country=fi&ontology=headai&dataset=job_ads&cluster_name=&search_text=engineer&language=fi&months=12&size=20&city=&noise=full&prediction_type=linear&word_type=&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:20:36.748: SUC: 10331ms, ready", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_sQZKQO3sMH1759267228045.json"}, length 129.
2025-10-16T11:20:36.748: URL: https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_sQZKQO3sMH1759267228045.json
2025-10-16T11:20:36.761: SUC: 10658ms, development", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 5, "value": 2192, "label": "automation", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 6, "value": 1136, "label": "industry", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 7, "value": 967, "label": "sales", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 8, "value": 837, "label": "quality", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 9, "value": 808, "label": "leader", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 10, "value": 785, "label": "business", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 11, "value": 1237, "label": "r&d", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 12, "value": 752, "label": "leading", "group": "1", "search_center": "false", "explain_api_call": ", length 12129.
2025-10-16T11:20:36.762: ------ test: 28
2025-10-16T11:20:36.763: URL: https://megatron.headai.com/TextToStatistics?country=fi&ontology=headai&dataset=job_ads&cluster_name=TT_IT&search_text=engineer&months=12&size=20&city=&noise=full&word_type=--&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:20:37.278: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToStatistics/TextToStatistics_3PlUwSHqRh1759267239305.json"}.
2025-10-16T11:20:47.279: URL: https://megatron.headai.com/TextToStatistics?country=fi&ontology=headai&dataset=job_ads&cluster_name=TT_IT&search_text=engineer&months=12&size=20&city=&noise=full&word_type=--&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:20:47.613: SUC: 10516ms, ready", "location": "https://megatron.headai.com/analysis/TextToStatistics/TextToStatistics_3PlUwSHqRh1759267239305.json"}, length 135.
2025-10-16T11:20:47.614: URL: https://megatron.headai.com/analysis/TextToStatistics/TextToStatistics_3PlUwSHqRh1759267239305.json
2025-10-16T11:20:47.634: SUC: 10851ms, Engineering management", "trend": "no_demand", "weight": 4.0, "relevancy": 336.0, "language": "", "relations": [],"demand": [{"origin":"data","error_factor":"0","year":"2025","month":"9","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"8","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"7","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"6","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"5","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"4","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"3","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"2","value":"0"},{"origin":"data","error_factor":"0","year":"2025","month":"1","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"12","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"11","value":"0"},{"origin":"data","error_factor":"0","year":"202, length 7565.
2025-10-16T11:20:47.635: ------ test: 25
2025-10-16T11:20:47.636: CMD: ssh -o ServerAliveInterval=60 -o ServerAliveCountMax=3 root@megatron.headai.com "top -b -n 1"
2025-10-16T11:20:47.636: EXE: 1/ssh -o ServerAliveInterval=60 -o ServerAliveCountMax=3 root@megatron.headai.com "top -b -n 1".
2025-10-16T11:20:47.867: Row 1: top - 11:20:47 up 137 days, 1:08, 0 users, load average: 0.09, 0.51, 1.34.
2025-10-16T11:20:47.867: Row 2: Tasks: 504 total, 1 running, 503 sleeping, 0 stopped, 0 zombie.
2025-10-16T11:20:47.868: Row 3: %Cpu(s): 1.4 us, 0.2 sy, 0.0 ni, 98.4 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st.
2025-10-16T11:20:47.868: Row 4: KiB Mem : 13202036+total, 731528 free, 66695556 used, 64593288 buff/cache.
2025-10-16T11:20:47.868: Row 5: KiB Swap: 0 total, 0 free, 0 used. 64323668 avail Mem .
2025-10-16T11:20:47.868: Row 6: .
2025-10-16T11:20:47.868: Row 7: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND.
2025-10-16T11:20:47.869: Row 8: 111586 root 20 0 44056 4088 3188 R 6.2 0.0 0:00.01 top.
2025-10-16T11:20:47.869: Row 9: 1 root 20 0 43692 4152 2780 S 0.0 0.0 7:08.72 init.
2025-10-16T11:20:47.869: Row 10: 2 root 20 0 0 0 0 S 0.0 0.0 0:00.92 kthreadd.
2025-10-16T11:20:47.869: Row 11: 3 root 20 0 0 0 0 S 0.0 0.0 0:47.63 ksoftirqd+.
2025-10-16T11:20:47.869: Row 12: 4 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kworker/0+.
2025-10-16T11:20:47.869: Row 13: 5 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 kworker/0+.
2025-10-16T11:20:47.869: Row 14: 7 root 20 0 0 0 0 S 0.0 0.0 58:41.52 rcu_sched.
2025-10-16T11:20:47.870: Row 15: 8 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_bh.
2025-10-16T11:20:47.870: Row 16: 9 root rt 0 0 0 0 S 0.0 0.0 0:02.68 migration+.
2025-10-16T11:20:47.870: Row 17: 10 root rt 0 0 0 0 S 0.0 0.0 0:33.20 watchdog/0.
2025-10-16T11:20:47.870: Row 18: 11 root rt 0 0 0 0 S 0.0 0.0 0:32.25 watchdog/1.
2025-10-16T11:20:47.870: Row 19: 12 root rt 0 0 0 0 S 0.0 0.0 0:11.18 migration+.
2025-10-16T11:20:47.870: Row 20: 13 root 20 0 0 0 0 S 0.0 0.0 0:02.39 ksoftirqd+.
2025-10-16T11:20:47.871: Row 21: 14 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kworker/1+.
2025-10-16T11:20:47.871: Row 22: 15 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 kworker/1+.
2025-10-16T11:20:47.871: Row 23: 16 root rt 0 0 0 0 S 0.0 0.0 0:32.48 watchdog/2.
2025-10-16T11:20:47.871: Row 24: 17 root rt 0 0 0 0 S 0.0 0.0 0:03.94 migration+.
2025-10-16T11:20:47.956: SUC: 316ms Uptime 137 days, 1min 0.09, 5min 0.51, 15min 1.34, mem:132020360 total / 731528 free / 66695556 used / 64593288 cache / 64323668 avail
2025-10-16T11:20:47.957: ------ test: 29
2025-10-16T11:20:47.957: CMD: top -b -E k -n 1
2025-10-16T11:20:47.957: EXE: 1/top -b -E k -n 1.
2025-10-16T11:20:48.115: Row 1: top - 11:20:48 up 52 days, 1:34, 0 users, load average: 3.84, 3.94, 3.98.
2025-10-16T11:20:48.116: Row 2: Tasks: 163 total, 1 running, 160 sleeping, 1 stopped, 1 zombie.
2025-10-16T11:20:48.116: Row 3: %Cpu(s): 6.5 us, 0.0 sy, 0.8 ni, 92.7 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st.
2025-10-16T11:20:48.116: Row 4: KiB Mem : 16480104 total, 5297276 free, 1195312 used, 9987516 buff/cache.
2025-10-16T11:20:48.116: Row 5: KiB Swap: 0 total, 0 free, 0 used. 14846348 avail Mem .
2025-10-16T11:20:48.116: Row 6: .
2025-10-16T11:20:48.116: Row 7: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND.
2025-10-16T11:20:48.116: Row 8: 2718166 root 20 0 5313328 107152 28100 S 46.7 0.7 0:02.23 java.
2025-10-16T11:20:48.117: Row 9: 1799496 tomcat 39 19 242988 23184 5356 T 13.3 0.1 104308:43 [kswapd+.
2025-10-16T11:20:48.117: Row 10: 1 root 20 0 167780 13280 8396 S 0.0 0.1 1:25.56 systemd.
2025-10-16T11:20:48.117: Row 11: 2 root 20 0 0 0 0 S 0.0 0.0 0:00.52 kthreadd.
2025-10-16T11:20:48.117: Row 12: 3 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 rcu_gp.
2025-10-16T11:20:48.117: Row 13: 4 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 rcu_par+.
2025-10-16T11:20:48.117: Row 14: 5 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 slub_fl+.
2025-10-16T11:20:48.117: Row 15: 6 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 netns.
2025-10-16T11:20:48.118: Row 16: 8 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 kworker+.
2025-10-16T11:20:48.118: Row 17: 10 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 mm_perc+.
2025-10-16T11:20:48.118: Row 18: 11 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_tas+.
2025-10-16T11:20:48.118: Row 19: 12 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_tas+.
2025-10-16T11:20:48.118: Row 20: 13 root 20 0 0 0 0 S 0.0 0.0 0:00.84 ksoftir+.
2025-10-16T11:20:48.118: Row 21: 14 root 20 0 0 0 0 I 0.0 0.0 2:19.58 rcu_sch+.
2025-10-16T11:20:48.118: Row 22: 15 root rt 0 0 0 0 S 0.0 0.0 0:09.92 migrati+.
2025-10-16T11:20:48.119: Row 23: 16 root -51 0 0 0 0 S 0.0 0.0 0:00.00 idle_in+.
2025-10-16T11:20:48.119: Row 24: 18 root 20 0 0 0 0 S 0.0 0.0 0:00.00 cpuhp/0.
2025-10-16T11:20:48.139: SUC: 182ms Uptime 52 days, 1min 3.84, 5min 3.94, 15min 3.98, mem:16480104 total / 5297276 free / 1195312 used / 9987516 cache / 14846348 avail
2025-10-16T11:20:48.140: ------ test: 40
2025-10-16T11:20:48.140: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=10&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:20:48.470: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json"}.
2025-10-16T11:20:58.471: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=10&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:20:58.802: RUN calculating: 10331ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json", "progress_status": "0"}.
2025-10-16T11:21:08.802: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=10&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:21:09.129: RUN calculating: 20662ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json", "progress_status": "25"}.
2025-10-16T11:21:19.129: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=10&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:21:19.461: RUN calculating: 30989ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json", "progress_status": "63"}.
2025-10-16T11:21:29.461: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=10&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:21:29.788: SUC: 41321ms, ready", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json"}, length 141.
2025-10-16T11:21:29.788: URL: https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json
2025-10-16T11:21:29.809: SUC: 41648ms, hiilidioksidipäästöt", "weight": 1.0, "group": "1", "metadata": {"tag": "topic", "professional_level":"not_defined","industry":"not_defined","ammatillinen_erityisosaaminen":"not_defined","ammatillinen_ydinosaaminen":"not_defined","vihreä_osaaminen":"not_defined","yleinen_osaaminen":"not_defined","digitaaliset_kansalaistaidot":"not_defined","digitaalinen_osaaminen":"not_defined","henkilökohtaiset_ominaisuudet":"not_defined","is_esco_skill":"not_defined","is_esco_title":"not_defined","is_isco_title":"not_defined"}, "search_center": "false", "sources": [1,7], "tags": [8,1,7,3,4], "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=jobs.items_2022&text=hiilidioksidipäästöt", "relations": [] },{"id": 37, "value": 2, "unique_value": 2, "normalized_value": 250.0, "label": "eurooppa", "weight": 2.0, "group": "1", "metadata": {"tag": "topic", "professional_level":"not_defined","industry":"not_defined","ammatillinen_erityisosaaminen":"not_defined",", length 167597.
2025-10-16T11:21:29.810: ------ test: 41
2025-10-16T11:21:29.811: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:21:30.426: RUN waiting: 0ms, {"status": "work in progress", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "current_position": "1"}.
2025-10-16T11:21:40.426: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:21:40.756: RUN calculating: 10615ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "2"}.
2025-10-16T11:21:50.757: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:21:51.084: RUN calculating: 20946ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "11"}.
2025-10-16T11:22:01.085: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:22:01.419: RUN calculating: 31274ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "18"}.
2025-10-16T11:22:11.420: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:22:11.802: RUN calculating: 41609ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "23"}.
2025-10-16T11:22:21.803: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:22:22.148: RUN calculating: 51992ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "30"}.
2025-10-16T11:22:32.149: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:22:32.479: RUN calculating: 62338ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "34"}.
2025-10-16T11:22:42.479: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:22:42.809: RUN calculating: 72668ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "41"}.
2025-10-16T11:22:52.809: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:22:53.133: RUN calculating: 82998ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "48"}.
2025-10-16T11:23:03.133: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:23:03.463: RUN calculating: 93322ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "52"}.
2025-10-16T11:23:13.463: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:23:13.794: RUN calculating: 103652ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "61"}.
2025-10-16T11:23:23.795: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:23:24.117: RUN calculating: 113984ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "68"}.
2025-10-16T11:23:34.117: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:23:34.451: RUN calculating: 124306ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "75"}.
2025-10-16T11:23:44.451: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:23:44.773: RUN calculating: 134640ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "80"}.
2025-10-16T11:23:54.774: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:23:55.101: RUN calculating: 144963ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "84"}.
2025-10-16T11:24:05.102: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:24:05.428: RUN calculating: 155291ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "89"}.
2025-10-16T11:24:15.429: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:24:15.755: RUN calculating: 165617ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json", "progress_status": "93"}.
2025-10-16T11:24:25.756: URL: https://megatron.headai.com/BuildKnowledgeGraph?dataset=job_ads&search_text=1463611-4-and-helsinki,0643134-6-and-helsinki,1463611-4-and-espoo&search_year=2022&search_month=9&search_day=&language=fi&word_type=&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:24:26.082: SUC: 175945ms, ready", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json"}, length 141.
2025-10-16T11:24:26.082: URL: https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json
2025-10-16T11:24:26.119: SUC: 176271ms, team", "weight": 2.0, "group": "1", "metadata": {"tag": "topic", "professional_level":"not_defined","industry":"not_defined","ammatillinen_erityisosaaminen":"not_defined","ammatillinen_ydinosaaminen":"not_defined","vihreä_osaaminen":"not_defined","yleinen_osaaminen":"not_defined","digitaaliset_kansalaistaidot":"not_defined","digitaalinen_osaaminen":"not_defined","henkilökohtaiset_ominaisuudet":"not_defined","is_esco_skill":"not_defined","is_esco_title":"not_defined","is_isco_title":"not_defined"}, "search_center": "false", "sources": [2,7,15,18,36], "tags": [5,1,9,14,3,6], "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=jobs.items_2022&text=team", "relations": [] },{"id": 62, "value": 1, "unique_value": 1, "normalized_value": 22.0, "label": "tuotteiden_esillepano", "weight": 4.0, "group": "1", "metadata": {"tag": "topic", "professional_level":"not_defined","industry":"not_defined","ammatillinen_erityisosaaminen":"not_defined","ammatill, length 672428.
2025-10-16T11:24:26.125: ------ test: 42
2025-10-16T11:24:26.125: URL: https://megatron.headai.com/SumMaps?map_url_1=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json&map_url_2=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json&label_1=helsinki&label_2=espoo&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:24:27.072: RUN waiting: 0ms, {"status": "work in progress", "location": "https://megatron.headai.com/analysis/SumMaps/SumMaps_IcKWjoznwY1760603066744.json", "current_position": "1"}.
2025-10-16T11:24:37.073: URL: https://megatron.headai.com/SumMaps?map_url_1=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_5pfwNTNLdm1760037648351.json&map_url_2=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json&label_1=helsinki&label_2=espoo&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:24:37.518: SUC: 10948ms, ready", "location": "https://megatron.headai.com/analysis/SumMaps/SumMaps_IcKWjoznwY1760603066744.json"}, length 117.
2025-10-16T11:24:37.518: URL: https://megatron.headai.com/analysis/SumMaps/SumMaps_IcKWjoznwY1760603066744.json
2025-10-16T11:24:37.542: SUC: 11393ms, business", "weight": 2.0, "group": "1", "search_center": "false", "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=headai_curriculum_db&search_year=0&text=not-available" },{"id": 5, "value": 1, "label": "continuous_improvement", "weight": 4.0, "group": "2", "search_center": "false", "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=headai_curriculum_db&search_year=0&text=not-available" },{"id": 6, "value": 8, "label": "communication", "weight": 2.0, "group": "1", "search_center": "false", "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=headai_curriculum_db&search_year=0&text=not-available" },{"id": 7, "value": 3, "label": "compliance", "weight": 2.0, "group": "1", "search_center": "false", "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=headai_curriculum_db&search_year=0&text=not-available" },{"id": 8, length 350346.
2025-10-16T11:24:37.544: URL: https://megatron.headai.com//Utils?action=delete_data&url=https://megatron.headai.com/analysis/SumMaps/SumMaps_IcKWjoznwY1760603066744.json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:24:38.542: SUC: 998ms, "status": "done", "file_deleted": true, "file": "SumMaps_IcKWjoznwY1760603066744.json", "code": 2}, length 100.
2025-10-16T11:24:38.543: ------ test: 50
2025-10-16T11:24:38.543: URL: https://megatron.headai.com/Utils?language=en&word=obj&action=autocomplete&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:24:39.797: SUC: 1254ms, object detection", "object animation", "object databases", "objective setting", "object recognition", "objective function", "object oriented css", "objects conservator", "object role modeling", "object access methods", "object query language", "object identification", "object windows library", "object oriented design", "object relational bridge", "object modeling language", "object oriented database", "object oriented analysis", "object oriented modeling", "object relational mapping", "object modeling technique", "object oriented languages", "objectorientedprogramming", "object oriented modelling", "object oriented javascript", "object relational database", "object constraint language", "object oriented constructs", "object oriented frameworks"]}, length 1090.
2025-10-16T11:24:39.798: ------ test: 51
2025-10-16T11:24:39.798: URL: https://megatron.headai.com/CourseToMindMap?course_code=XX00CG13&language=fi&output=json&word_type=&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:24:40.121: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/CourseToMindMap/CourseToMindMap_d0dl7sJPKX1756467904666.json"}.
2025-10-16T11:24:50.121: URL: https://megatron.headai.com/CourseToMindMap?course_code=XX00CG13&language=fi&output=json&word_type=&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:24:50.449: SUC: 10323ms, ready", "location": "https://megatron.headai.com/analysis/CourseToMindMap/CourseToMindMap_d0dl7sJPKX1756467904666.json"}, length 133.
2025-10-16T11:24:50.450: URL: https://megatron.headai.com/analysis/CourseToMindMap/CourseToMindMap_d0dl7sJPKX1756467904666.json
2025-10-16T11:24:50.459: SUC: 10652ms, tuotteistaminen", "group": "1", "search_center": "false", "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=headai_curriculum_db&search_year=2021&text=tuotteistaminen" },{"id": 1, "value": 41, "label": "muotoilu", "group": "1", "search_center": "false", "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=headai_curriculum_db&search_year=2021&text=muotoilu" },{"id": 2, "value": 41, "label": "laitteiden_ja_työkalujen_muotoilu", "group": "1", "search_center": "false", "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=headai_curriculum_db&search_year=2021&text=laitteiden_ja_työkalujen_muotoilu" }],"edges": [{"from": 0, "to": 1, "value": 3, "title": "tuotteistaminen - muotoilu"},{"from": 2, "to": 0, "value": 3, "title": "laitteiden_ja_työkalujen_muotoilu - tuotteistaminen"},{"from": 2, "to": 1, "value": 3, "title": "laitteiden_ja_työkalujen_muotoilu - muotoi, length 1062.
2025-10-16T11:24:50.460: ------ test: 52
2025-10-16T11:24:50.460: URL: https://megatron.headai.com/Utils?action=skills_compass&data=data_LT&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:25:01.347: SUC: 10887ms, management(3), content_management(3), operations_management(4), focus_on_service(5), innovation(2), customer(2), customer_management(5), customer_processes(3), innovation_management(4), innovation_processes(5), best_practices(3), international_research(4), application(1), research_management(3), industry(2), future(2), operating(2), cooperation(2), manage_work(3), sustainable(2), grounds(1), manager(2), managers(1), customer_service(3), customer_services(3), change_management(3), service_innovations(5), social_innovations(3), social_services(3), networks(1), build_networks(3), partnerships(1), partnership(2), strategic_management(3), system_know_how(5), systems_management(3), work_organisation(5), network_services(3), manners(1), ", "new_skills": ["social_work", "area_management", "content_management", "operations_management", "focus_on_service", "innovation", "customer", "customer_management", "customer_processes", "innovation_management", "innovation_processes", "best_practices", "i, length 65837.
2025-10-16T11:25:01.348: ------ test: 53
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2025-10-16T11:25:01.677: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/BuildScorecard/BuildScorecard_SHG4fWv13Z1759267527542.json"}.
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2025-10-16T11:25:12.010: SUC: 10329ms, ready", "location": "https://megatron.headai.com/analysis/BuildScorecard/BuildScorecard_SHG4fWv13Z1759267527542.json"}, length 131.
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2025-10-16T11:25:12.022: URL: https://megatron.headai.com/Utils?action=get_single_job_add&keywords=pesu%7C0.55&language=fi&noise_list=&limit=1&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:25:12.058: url without content/body.
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2025-10-16T11:25:12.059: URL: https://megatron.headai.com/Utils?action=get_single_course&course_code=fitech04343&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
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2025-10-16T11:25:12.090: ------ test: 61
2025-10-16T11:25:12.090: URL: https://megatron.headai.com/Utils?action=get_job_title&title=business&language=en&additional_data=true&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:25:12.149: SUC: 58ms, market research", "risk management"]}, {"job_title": "business and marketing vocational teacher", "source": "ESCO", "language": "en", "job_titles_skills": ["teach marketing principles", "work in vocational school", "adapt training to labour market", "teach customer service techniques", "monitor developments in field of expertise", "facilitate teamwork between students", "guarantee students' safety", "apply teaching strategies", "manage student relationships", "assist students in their learning", "prepare lesson content", "observe student's progress", "maintain students' discipline", "assign homework", "perform classroom management", "apply intercultural teaching strategies", "assess students", "give constructive feedback", "adapt teaching to student's capabilities", "develop course outline", "customer service", "learning difficulties", "teamwork principles", "assessment processes", "curriculum objectives", "marketing principles", "sales activities"]}, {"job_title": "business coach", ", length 13732.
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2025-10-16T11:25:12.149: URL: https://megatron.headai.com/Utils?action=futureproof_feedback&text_1=data&text_2=pata&list1=&list2=2&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
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2025-10-16T11:25:12.176: URL: https://megatron.headai.com/TextToGraph?update=true&language=en&output=json&high_privacy_mode=true&text=Several%20important%20sub-fields%20of%20AI%20research%20(as%20opposed%20to%20AI%20itself)%20have%20used%20working%20definitions%20of%20the%20intelligent%20agents&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
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2025-10-16T11:25:12.911: URL: https://megatron.headai.com/TextToGraph?update=true&translate_to=fi&language=en&output=json&high_privacy_mode=true&text=Several%20important%20sub-fields%20of%20AI%20research%20(as%20opposed%20to%20AI%20itself)%20have%20used%20working%20definitions%20of%20the%20intelligent%20agents&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:25:13.641: SUC: 730ms, tutkimus", "weight": 0.9999999999, "group": "1", "search_center": "false", "sources": [{"title": "", "url": ""}], "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=&search_year=0&text=tutkimus", "relations": [] },{"id": 2, "value": 1, "label": "agentti", "weight": 3.0, "group": "1", "search_center": "false", "sources": [{"title": "", "url": ""}], "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=&search_year=0&text=agentti", "relations": [] }],"edges": [{"from": 0, "to": 1, "value": 1, "title": "älykäs agentti - tutkimus"},{"from": 0, "to": 2, "value": 1, "title": "älykäs agentti - agentti"},{"from": 1, "to": 2, "value": 1, "title": "tutkimus - agentti"}]}, "indicators": {"processing_time": 681,"word_count": 20, "keyword_count": 3, "unique_keyword_count": 3, "cumulative_weight": 4.9999999998, "machine_readability": 100, "machine_readability_text": "green", "information_quality": 12.4999999995, "i, length 1843.
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2025-10-16T11:25:13.832: SQL: select country, count(id) from items_2025 where country=? and language=? and datediff(readtime, now())>? group by country; fi/fi, -30, 5000, .
2025-10-16T11:25:14.949: SUC: 1306ms fi/45680
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2025-10-16T11:25:15.021: SQL: select country, count(id) from items_2025 where country=? and language=? and datediff(readtime, now())>? group by country; fi/fi, -7, 1000, .
2025-10-16T11:25:16.081: SUC: 1131ms fi/9620
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2025-10-16T11:25:16.150: SQL: select country, count(id) from items_2025 where country=? and language=? and datediff(readtime, now())>? group by country; ph/en, -30, 500, .
2025-10-16T11:25:16.651: SUC: 569ms ph/875
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2025-10-16T11:25:16.712: SQL: select country, count(id) from items_2025 where country=? and language=? and datediff(readtime, now())>? group by country; se/sv, -30, 2000, .
2025-10-16T11:25:17.616: SUC: 964ms se/46479
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2025-10-16T11:25:17.682: SQL: select country, count(id) from items_2025 where country=? and language=? and datediff(readtime, now())>? group by country; eg/en, -7, 100, .
2025-10-16T11:25:18.176: SUC: 560ms eg/883
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2025-10-16T11:25:18.241: SQL: select country, count(id) from items_2025 where country=? and language=? and datediff(readtime, now())>? group by country; za/en, -30, 100, .
2025-10-16T11:25:18.737: SUC: 559ms za/5626
2025-10-16T11:25:18.738: ------ test: 71
2025-10-16T11:25:18.816: SQL: select country, count(id) from items_2025 where country=? and language=? and datediff(readtime, now())>? group by country; nl/nl, -30, 100, .
2025-10-16T11:25:20.061: SUC: 1323ms nl/80135
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2025-10-16T11:25:20.063: URL: https://megatron.headai.com/TextToGraph?ontology=headai&cache=true&language=en&output=json&text=Several%20important%20sub-fields%20of%20AI%20research%20(as%20opposed%20to%20AI%20itself)%20have%20used%20working%20definitions%20of%20the%20intelligent%20agents%20java&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:25:20.409: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToGraph/TextToGraph_eoyotlmpU81759267547063.json"}.
2025-10-16T11:25:30.409: URL: https://megatron.headai.com/TextToGraph?ontology=headai&cache=true&language=en&output=json&text=Several%20important%20sub-fields%20of%20AI%20research%20(as%20opposed%20to%20AI%20itself)%20have%20used%20working%20definitions%20of%20the%20intelligent%20agents%20java&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
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2025-10-16T11:25:30.743: URL: https://megatron.headai.com/analysis/TextToGraph/TextToGraph_eoyotlmpU81759267547063.json
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2025-10-16T11:25:30.757: URL: https://megatron.headai.com/SemanticSimilarity?language=en&ontology=headai&high_privacy_mode=true&text=java&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
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2025-10-16T11:25:31.373: URL: https://megatron.headai.com/TranslateKnowledgeGraph?language=en&translate_to=fi&high_privacy_mode=true&url=https://megatron.headai.com/analysis/TextToGraph/TextToGraph_eoyotlmpU81759267547063.json&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
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2025-10-16T11:25:31.436: URL: https://megatron.headai.com/TextToGraph?ontology=headai&cache=true&language=en&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&text=While+intelligent+agents+as+systems+that+use+artificial+intelligence+are+an+important+application+of+AI%2C+many+AI+systems+do+not+perform+any+procedural+steps+with+the+outputs+of+the+AI+at+all%2C+such+as+computer+vision%2C+speech+recognition%2C+or+recommender+systems.+The+term+artificial+intelligence+had+previously+been+used+to+describe+machines+that+mimic+and+display+human+cognitive+skills+that+are+associated+with+the+human+mind%2C+such+as+learning+and+problem-solving.&oq=While+intelligent+agents+as+systems+that+use+artificial+intelligence+are+an+important+application+of+AI%2C+many+AI+systems+do+not+perform+any+procedural+steps+with+the+outputs+of+the+AI+at+all%2C+such+as+computer+vision%2C+speech+recognition%2C+or+recommender+systems.+The+term+artificial+intelligence+had+previously+been+used+to+describe+machines+that+mimic+and+display+human+cognitive
2025-10-16T11:25:31.756: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToGraph/TextToGraph_PvHTKH4f6H1759267559169.json"}.
2025-10-16T11:25:41.757: URL: https://megatron.headai.com/TextToGraph?ontology=headai&cache=true&language=en&output=json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&text=While+intelligent+agents+as+systems+that+use+artificial+intelligence+are+an+important+application+of+AI%2C+many+AI+systems+do+not+perform+any+procedural+steps+with+the+outputs+of+the+AI+at+all%2C+such+as+computer+vision%2C+speech+recognition%2C+or+recommender+systems.+The+term+artificial+intelligence+had+previously+been+used+to+describe+machines+that+mimic+and+display+human+cognitive+skills+that+are+associated+with+the+human+mind%2C+such+as+learning+and+problem-solving.&oq=While+intelligent+agents+as+systems+that+use+artificial+intelligence+are+an+important+application+of+AI%2C+many+AI+systems+do+not+perform+any+procedural+steps+with+the+outputs+of+the+AI+at+all%2C+such+as+computer+vision%2C+speech+recognition%2C+or+recommender+systems.+The+term+artificial+intelligence+had+previously+been+used+to+describe+machines+that+mimic+and+display+human+cognitive
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2025-10-16T11:25:42.084: URL: https://megatron.headai.com/analysis/TextToGraph/TextToGraph_PvHTKH4f6H1759267559169.json
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2025-10-16T11:25:42.093: ------ test: 77
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2025-10-16T11:25:42.150: ------ test: 78
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2025-10-16T11:25:42.194: ------ test: 79
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2025-10-16T11:25:42.577: ------ test: 80
2025-10-16T11:25:42.577: URL: https://megatron.headai.com/BuildKnowledgeGraph?language=fi&size=200&ontology=headai&word_type=&output=json&dataset=job_ads&search_year=2022&search_month=&country=fi&update=&search_text=tietoturva,palvelunesto,virustorjunta,yksityisyys,yksityisyyden_suoja,cyber,gdpr,kyberturvallisuus,luottamuksellisuus,kyber&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
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2025-10-16T11:25:43.102: ------ test: 81
2025-10-16T11:25:43.102: URL: https://megatron.headai.com/BuildMapPrediction?urls=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_axYsckOtTU1759267570870.json,https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ItuQs0fQAA1759267899740.json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
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2025-10-16T11:25:53.894: ------ test: 82
2025-10-16T11:25:53.894: URL: https://megatron.headai.com/BuildSignals?urls=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_axYsckOtTU1759267570870.json,https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ItuQs0fQAA1759267899740.json&map_legends=2021,2022&dataset=custom&keyword=keywordtitteli&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH&update=true
2025-10-16T11:25:54.210: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/BuildSignals/BuildSignals_khZRqcz9cU1759269301535.json"}.
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2025-10-16T11:26:04.540: ------ test: 83
2025-10-16T11:26:04.540: CMD: df -h
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2025-10-16T11:26:04.556: CMD: ssh -o ServerAliveInterval=60 -o ServerAliveCountMax=3 root@megatron.headai.com "df -h"
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2025-10-16T11:26:04.624: ------ test: 87
2025-10-16T11:26:04.643: SQL: show global status like 'threads_connected';.
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2025-10-16T11:26:04.651: SQL: value, lines: 1, ret=1, 1.
2025-10-16T11:26:04.652: SUC: 28ms 1
2025-10-16T11:26:04.652: ------ test: 88
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2025-10-16T11:26:09.457: ------ test: 89
2025-10-16T11:26:09.457: URL: https://headai.com
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2025-10-16T11:26:09.817: ------ test: 90
2025-10-16T11:26:09.837: SQL: SHOW PROCESSLIST;.
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2025-10-16T11:26:09.843: SQL: COUNTNOTLINES:Command, lines: 2, ret=2, 2.
2025-10-16T11:26:09.844: SUC: 27ms 2
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2025-10-16T11:26:09.916: SQL: SHOW PROCESSLIST;.
2025-10-16T11:26:09.919: Row 1: 55088884,root,localhost:51366,null,Query,0,starting,SHOW PROCESSLIST.
2025-10-16T11:26:09.919: SQL: COUNT, lines: 1, ret=1, 1.
2025-10-16T11:26:09.919: SUC: 75ms 1
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2025-10-16T11:26:09.919: URL: https://megatron.headai.com//Utils?action=delete_data&url=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_ecREY9Ds3X1760602890125.json&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
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2025-10-16T11:26:10.915: ------ test: 94
2025-10-16T11:26:10.915: EXE: 1/git ls-remote git@github.com:Headai/qa.git.
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2025-10-16T11:26:12.643: URL: https://megatron.headai.com/Utils?action=validate_token&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:26:12.680: SUC: 37ms, 65, length 4.
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2025-10-16T11:26:12.681: EXE: 1/curl -s -X POST "https://megatron.headai.com/Utils?action=document_to_text&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH" -F "file=@resources/nok-small.pdf".
2025-10-16T11:26:12.816: Row 1: {"text": "People Planet 2020 Technology and digitalization continue to play a key role in enabling a sustainable future. Our climate commitments are set for the 1.5 C scenario. The critical solutions we create are keeping people connected and enable sustainable industries. Trust, integrity and ethical behavior define how we do business. Our technology is a social good and we strive to ensure it is not misused. We work hard to build a responsible, transparent supply chain. We enable and promote human rights and collaborate with our value chain and beyond. We celebrate an inclusive, diverse world where nobody is left behind. 2Improving lives Climate changeNokia People Planet Report 2020 Integrity Our culture Key dataOur approach Letter from the President and CEO This was a year of many extraordinary and unexpected events. Think back to the start of 2020. Few people would have anticipated that a new virus only recently identified would spread so rapidly around the world.
2025-10-16T11:26:12.818: SUC: 97, 137ms, lines: 2.
2025-10-16T11:26:12.819: ------ test: 98
2025-10-16T11:26:12.819: EXE: 1/python3 -m pip show playwright.
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2025-10-16T11:26:13.541: Row 4: Home-page: .
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2025-10-16T11:26:13.541: Row 6: Author-email: .
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2025-10-16T11:26:13.541: Row 9: Requires: greenlet, pyee.
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2025-10-16T11:26:13.583: SUC: 98, 763ms, lines: 10.
2025-10-16T11:26:13.583: ------ test: 99
2025-10-16T11:26:13.583: EXE: 1/python3 ../playw/login.py.
2025-10-16T11:26:25.912: Row 1: SUC:.
2025-10-16T11:26:25.918: SUC: 99, 12335ms, lines: 1.
2025-10-16T11:26:25.919: ------ test: 100
2025-10-16T11:26:25.919: EXE: 1/python3 ../playw/yle.py.
2025-10-16T11:26:29.305: Row 1: SUC:.
2025-10-16T11:26:29.320: SUC: 100, 3401ms, lines: 1.
2025-10-16T11:26:29.320: ------ test: 101
2025-10-16T11:26:29.320: EXE: 1/python3 ../playw/yle-strict.py.
2025-10-16T11:26:32.454: Row 1: Console error ignored: Failed to load resource: the server responded with a status of 401 ().
2025-10-16T11:26:32.454: Row 2: Console error ignored: Failed to load resource: the server responded with a status of 401 ().
2025-10-16T11:26:32.454: Row 3: SUC:ok.
2025-10-16T11:26:32.470: SUC: 101, 3149ms, lines: 1.
2025-10-16T11:26:32.470: ------ test: 103
2025-10-16T11:26:32.470: EXE: 1/python3 ../playw/nok.py.
2025-10-16T11:26:33.370: Row 1: SUC:.
2025-10-16T11:26:33.386: SUC: 103, 915ms, lines: 1.
2025-10-16T11:26:33.386: ------ test: 300
2025-10-16T11:26:33.386: EXE: stressTest, iterations: 2, delay: 10.
2025-10-16T11:26:33.388: ------ test: 50
2025-10-16T11:26:33.389: URL: https://megatron.headai.com/Utils?language=en&word=obj&action=autocomplete&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:26:34.312: SUC: 923ms, object detection", "object animation", "object databases", "objective setting", "object recognition", "objective function", "object oriented css", "objects conservator", "object role modeling", "object access methods", "object query language", "object identification", "object windows library", "object oriented design", "object relational bridge", "object modeling language", "object oriented database", "object oriented analysis", "object oriented modeling", "object relational mapping", "object modeling technique", "object oriented languages", "objectorientedprogramming", "object oriented modelling", "object oriented javascript", "object relational database", "object constraint language", "object oriented constructs", "object oriented frameworks"]}, length 1090.
2025-10-16T11:26:34.313: SUC: Successfully completed iteration 0
2025-10-16T11:26:43.388: ------ test: 50
2025-10-16T11:26:43.388: URL: https://megatron.headai.com/Utils?language=en&word=obj&action=autocomplete&token=FHbkh2SbQQmVOIcEaPTnyQVP3q7WY3gH
2025-10-16T11:26:44.499: SUC: 1111ms, object detection", "object animation", "object databases", "objective setting", "object recognition", "objective function", "object oriented css", "objects conservator", "object role modeling", "object access methods", "object query language", "object identification", "object windows library", "object oriented design", "object relational bridge", "object modeling language", "object oriented database", "object oriented analysis", "object oriented modeling", "object relational mapping", "object modeling technique", "object oriented languages", "objectorientedprogramming", "object oriented modelling", "object oriented javascript", "object relational database", "object constraint language", "object oriented constructs", "object oriented frameworks"]}, length 1090.
2025-10-16T11:26:44.499: SUC: Successfully completed iteration 1
2025-10-16T11:26:53.390: ------ test: 400
2025-10-16T11:26:53.390: URL: https://qa.headai.com/healthcheck
2025-10-16T11:26:53.399: SUC: 9ms, OK., length 50.
2025-10-16T11:26:53.399: ------ test: 401
2025-10-16T11:26:53.399: URL: https://qa.headai.com:8081/healthcheck
2025-10-16T11:26:53.407: SUC: 8ms, running..."}, length 23.
2025-10-16T11:26:53.410: ------ test: end, 408857ms. Score 60/60.
2025-10-16T11:26:53.412: Test duration: 6m48s.