2025-02-10T00:20:05.062: current working dir: /root/qa/mctester.
2025-02-10T00:20:05.163: current logging dir: ../mctester/www.
2025-02-10T00:20:05.163: ---------------------------------------------------------------
2025-02-10T00:20:05.164: mctester entry: 2025-02-10T00:20:05.164 mode=10
2025-02-10T00:20:05.164: ---------------------------------------------------------------
2025-02-10T00:20:05.282: EXE: 1/git describe --tags.
2025-02-10T00:20:05.294: Row 1: v1.1-217-g3c99d76.
2025-02-10T00:20:05.294: EXE: 1/git rev-list --count HEAD.
2025-02-10T00:20:05.300: Row 1: 274.
2025-02-10T00:20:05.301: EXE: 1/git rev-parse HEAD.
2025-02-10T00:20:05.302: Row 1: 3c99d76c329e1bdb31d027d6fb37f178c46e264d.
2025-02-10T00:20:05.303: mctester: v1.1.274 (3c99d76c329e1bdb31d027d6fb37f178c46e264d).
2025-02-10T00:20:05.303: Entering into a RunTestset1+dash mode.
2025-02-10T00:20:05.304: ------ test: start, 2025-02-10T00:20:05.304
2025-02-10T00:20:05.304: ------ test: 16
2025-02-10T00:20:05.305: URL: https://megatron.headai.com/TextToMindMap?token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&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
2025-02-10T00:20:05.994: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_7UKkYRye9z1738362007961.json"}.
2025-02-10T00:20:15.994: URL: https://megatron.headai.com/TextToMindMap?token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&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
2025-02-10T00:20:16.350: SUC: 10689ms, ready", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_7UKkYRye9z1738362007961.json"}, length 129.
2025-02-10T00:20:16.350: URL: https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_7UKkYRye9z1738362007961.json
2025-02-10T00:20:16.366: SUC: 11045ms, development", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 2, "value": 684, "label": "english", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 3, "value": 705, "label": "international", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 4, "value": 868, "label": "engineering", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 5, "value": 242, "label": "programming", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 6, "value": 267, "label": "tools", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 7, "value": 647, "label": "data", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 8, "value": 678, "label": "testing", "group": "1", "search_center": "false", "explain_api_call": "todo" },{"id": 9, "value": 633, "label": "automation", "group": "1", "search_center": "false", "explain_api_, length 9119.
2025-02-10T00:20:16.375: ------ test: 23
2025-02-10T00:20:16.376: URL: https://megatron.headai.com/WordToRelations?dataset=theseus_database&language=fi&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&word=viitekehys
2025-02-10T00:20:16.392: SUC: 16ms, 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.
2025-02-10T00:20:16.393: ------ test: 24
2025-02-10T00:20:16.393: URL: https://megatron.headai.com/WordToRelations?dataset=theseus_database&language=fi&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&word=viitekehys
2025-02-10T00:20:16.411: SUC: 18ms, 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: 2ms"}, length 1360.
2025-02-10T00:20:16.412: ------ test: 26
2025-02-10T00:20:16.412: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:20:16.782: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToKeywords/TextToKeywords_o0pai7mXNi1738362020205.json"}.
2025-02-10T00:20:26.783: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:20:27.205: SUC: 10371ms, ready", "location": "https://megatron.headai.com/analysis/TextToKeywords/TextToKeywords_o0pai7mXNi1738362020205.json"}, length 131.
2025-02-10T00:20:27.205: URL: https://megatron.headai.com/analysis/TextToKeywords/TextToKeywords_o0pai7mXNi1738362020205.json
2025-02-10T00:20:27.207: SUC: 10793ms, 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.
2025-02-10T00:20:27.208: ------ test: 27
2025-02-10T00:20:27.208: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:20:27.580: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_JZQY2hQ6rA1738362031813.json"}.
2025-02-10T00:20:37.580: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:20:37.956: SUC: 10372ms, ready", "location": "https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_JZQY2hQ6rA1738362031813.json"}, length 129.
2025-02-10T00:20:37.956: URL: https://megatron.headai.com/analysis/TextToMindMap/TextToMindMap_JZQY2hQ6rA1738362031813.json
2025-02-10T00:20:37.960: SUC: 10748ms, 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.
2025-02-10T00:20:37.968: ------ test: 28
2025-02-10T00:20:37.968: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:20:38.327: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToStatistics/TextToStatistics_dRt0TYiriE1738786838636.json"}.
2025-02-10T00:20:48.328: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:20:48.677: SUC: 10360ms, ready", "location": "https://megatron.headai.com/analysis/TextToStatistics/TextToStatistics_dRt0TYiriE1738786838636.json"}, length 135.
2025-02-10T00:20:48.677: URL: https://megatron.headai.com/analysis/TextToStatistics/TextToStatistics_dRt0TYiriE1738786838636.json
2025-02-10T00:20:48.680: SUC: 10709ms, Engineering management", "trend": "no_demand", "weight": 4.0, "relevancy": 336.0, "language": "", "relations": [],"demand": [{"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":"2024","month":"10","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"9","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"8","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"7","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"6","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"5","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"4","value":"0"},{"origin":"data","error_factor":"0","year":"2024","month":"3","value":"0"},{"origin":"data","error_factor":"0","year":"20, length 7565.
2025-02-10T00:20:48.687: ------ test: 25
2025-02-10T00:20:48.687: CMD: ssh -o ServerAliveInterval=60 -o ServerAliveCountMax=3 root@megatron.headai.com "top -b -n 1"
2025-02-10T00:20:48.687: EXE: 1/ssh -o ServerAliveInterval=60 -o ServerAliveCountMax=3 root@megatron.headai.com "top -b -n 1".
2025-02-10T00:20:48.948: Row 1: top - 00:20:48 up 10 days, 13:30, 0 users, load average: 0.67, 0.45, 0.39.
2025-02-10T00:20:48.948: Row 2: Tasks: 507 total, 1 running, 506 sleeping, 0 stopped, 0 zombie.
2025-02-10T00:20:48.950: Row 3: %Cpu(s): 7.3 us, 3.2 sy, 0.0 ni, 89.5 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st.
2025-02-10T00:20:48.950: Row 4: KiB Mem : 13202036+total, 668284 free, 62953312 used, 68398776 buff/cache.
2025-02-10T00:20:48.950: Row 5: KiB Swap: 0 total, 0 free, 0 used. 68095088 avail Mem .
2025-02-10T00:20:48.950: Row 6: .
2025-02-10T00:20:48.951: Row 7: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND.
2025-02-10T00:20:48.951: Row 8: 64291 root 20 0 44056 4004 3092 R 6.7 0.0 0:00.01 top.
2025-02-10T00:20:48.951: Row 9: 1 root 20 0 43668 3184 1900 S 0.0 0.0 0:29.60 init.
2025-02-10T00:20:48.951: Row 10: 2 root 20 0 0 0 0 S 0.0 0.0 0:00.03 kthreadd.
2025-02-10T00:20:48.951: Row 11: 3 root 20 0 0 0 0 S 0.0 0.0 0:20.84 ksoftirqd+.
2025-02-10T00:20:48.951: Row 12: 5 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 kworker/0+.
2025-02-10T00:20:48.951: Row 13: 7 root 20 0 0 0 0 S 0.0 0.0 9:02.23 rcu_sched.
2025-02-10T00:20:48.952: Row 14: 8 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_bh.
2025-02-10T00:20:48.952: Row 15: 9 root rt 0 0 0 0 S 0.0 0.0 0:00.25 migration+.
2025-02-10T00:20:48.952: Row 16: 10 root rt 0 0 0 0 S 0.0 0.0 0:02.86 watchdog/0.
2025-02-10T00:20:48.952: Row 17: 11 root rt 0 0 0 0 S 0.0 0.0 0:02.74 watchdog/1.
2025-02-10T00:20:48.952: Row 18: 12 root rt 0 0 0 0 S 0.0 0.0 0:00.98 migration+.
2025-02-10T00:20:48.952: Row 19: 13 root 20 0 0 0 0 S 0.0 0.0 0:00.56 ksoftirqd+.
2025-02-10T00:20:48.952: Row 20: 14 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kworker/1+.
2025-02-10T00:20:48.952: Row 21: 15 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 kworker/1+.
2025-02-10T00:20:48.953: Row 22: 16 root rt 0 0 0 0 S 0.0 0.0 0:02.80 watchdog/2.
2025-02-10T00:20:48.953: Row 23: 17 root rt 0 0 0 0 S 0.0 0.0 0:00.39 migration+.
2025-02-10T00:20:48.953: Row 24: 18 root 20 0 0 0 0 S 0.0 0.0 0:00.20 ksoftirqd+.
2025-02-10T00:20:49.026: SUC: 339ms Uptime 10 days, 1min 0.67, 5min 0.45, 15min 0.39, mem:132020360 total / 668284 free / 62953312 used / 68398776 cache / 68095088 avail
2025-02-10T00:20:49.028: ------ test: 29
2025-02-10T00:20:49.028: CMD: top -b -E k -n 1
2025-02-10T00:20:49.028: EXE: 1/top -b -E k -n 1.
2025-02-10T00:20:49.187: Row 1: top - 00:20:49 up 90 days, 7:02, 0 users, load average: 0.09, 0.05, 0.01.
2025-02-10T00:20:49.187: Row 2: Tasks: 106 total, 1 running, 104 sleeping, 0 stopped, 1 zombie.
2025-02-10T00:20:49.187: Row 3: %Cpu(s): 0.0 us, 0.0 sy, 0.0 ni,100.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st.
2025-02-10T00:20:49.188: Row 4: KiB Mem : 1907632 total, 528312 free, 531284 used, 848036 buff/cache.
2025-02-10T00:20:49.188: Row 5: KiB Swap: 0 total, 0 free, 0 used. 1159372 avail Mem .
2025-02-10T00:20:49.188: Row 6: .
2025-02-10T00:20:49.188: Row 7: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND.
2025-02-10T00:20:49.188: Row 8: 3687406 root 12 -8 32.4g 23452 4292 S 6.7 1.2 81:31.48 chrome.
2025-02-10T00:20:49.188: Row 9: 1 root 20 0 166424 10096 6524 S 0.0 0.5 2:19.24 systemd.
2025-02-10T00:20:49.188: Row 10: 2 root 20 0 0 0 0 S 0.0 0.0 0:00.24 kthreadd.
2025-02-10T00:20:49.188: Row 11: 3 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 rcu_gp.
2025-02-10T00:20:49.189: Row 12: 4 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 rcu_par+.
2025-02-10T00:20:49.189: Row 13: 5 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 slub_fl+.
2025-02-10T00:20:49.189: Row 14: 6 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 netns.
2025-02-10T00:20:49.189: Row 15: 8 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 kworker+.
2025-02-10T00:20:49.194: Row 16: 10 root 0 -20 0 0 0 I 0.0 0.0 0:00.00 mm_perc+.
2025-02-10T00:20:49.195: Row 17: 11 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_tas+.
2025-02-10T00:20:49.195: Row 18: 12 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_tas+.
2025-02-10T00:20:49.198: Row 19: 13 root 20 0 0 0 0 S 0.0 0.0 1:16.18 ksoftir+.
2025-02-10T00:20:49.198: Row 20: 14 root 20 0 0 0 0 I 0.0 0.0 2:15.33 rcu_sch+.
2025-02-10T00:20:49.198: Row 21: 15 root rt 0 0 0 0 S 0.0 0.0 0:19.31 migrati+.
2025-02-10T00:20:49.198: Row 22: 16 root -51 0 0 0 0 S 0.0 0.0 0:00.00 idle_in+.
2025-02-10T00:20:49.198: Row 23: 18 root 20 0 0 0 0 S 0.0 0.0 0:00.00 cpuhp/0.
2025-02-10T00:20:49.198: Row 24: 19 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kdevtmp+.
2025-02-10T00:20:49.213: SUC: 184ms Uptime 90 days, 1min 0.09, 5min 0.05, 15min 0.01, mem:1907632 total / 528312 free / 531284 used / 848036 cache / 1159372 avail
2025-02-10T00:20:49.213: ------ test: 40
2025-02-10T00:20:49.217: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:20:49.555: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:20:59.556: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:20:59.894: RUN calculating: 10338ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:21:09.895: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:21:09.962: RUN calculating: 20678ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:21:19.962: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:21:20.002: RUN calculating: 30745ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:21:30.002: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:21:30.034: RUN calculating: 40785ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:21:40.035: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:21:40.096: RUN calculating: 50818ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:21:50.097: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:21:50.123: RUN calculating: 60880ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:22:00.124: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:22:00.164: RUN calculating: 70907ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}.
2025-02-10T00:22:10.164: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:22:10.525: SUC: 80947ms, ready", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json"}, length 141.
2025-02-10T00:22:10.526: URL: https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json
2025-02-10T00:22:10.555: SUC: 81309ms, hiilineutraalisuus", "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": [{"title":"Viestinnän asiantuntija, Generation, Fortum Oyj, Espoo","url":"https://paikat.te-palvelut.fi/tpt/11652339"},{"title":"Diplomityöntekijä, Reaktorifysiikka. Fortum, Espoo","url":"https://duunitori.fi/tyopaikat/tyo/diplomityontekija-reaktorifysiikka-sfsor-15659238"}], "explain_api_call": "https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=job_ads&search_year=2022&text=hiilineutraalisuus", "relations": [] },{"id", length 190915.
2025-02-10T00:22:10.559: ------ test: 41
2025-02-10T00:22:10.559: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:22:11.177: RUN waiting: 0ms, {"status": "work in progress", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json", "current_position": "1"}.
2025-02-10T00:22:21.178: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:22:21.506: RUN calculating: 10618ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:22:31.506: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:22:31.535: RUN calculating: 20947ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:22:41.536: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:22:41.603: RUN calculating: 30976ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:22:51.603: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:22:51.642: RUN calculating: 41044ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:23:01.642: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:23:01.679: RUN calculating: 51083ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:23:11.680: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:23:11.739: RUN calculating: 61121ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:23:21.739: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:23:21.772: RUN calculating: 71180ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:23:31.776: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:23:31.804: RUN calculating: 81217ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:23:41.804: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:23:41.891: RUN calculating: 91245ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:23:51.891: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:23:51.921: RUN calculating: 101332ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:24:01.922: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:24:01.959: RUN calculating: 111363ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:24:11.960: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:24:12.073: RUN calculating: 121401ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:24:22.074: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:24:22.134: RUN calculating: 131514ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:24:32.135: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:24:32.171: RUN calculating: 141576ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:24:42.174: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:24:42.229: RUN calculating: 151615ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:24:52.229: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:24:52.290: RUN calculating: 161670ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:25:02.291: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:02.316: RUN calculating: 171732ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:25:12.316: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:12.383: RUN calculating: 181757ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:25:22.383: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:22.410: RUN calculating: 191824ms, {"status": "work is in calculation", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}.
2025-02-10T00:25:32.410: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:32.756: SUC: 201851ms, ready", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json"}, length 141.
2025-02-10T00:25:32.756: URL: https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json
2025-02-10T00:25:32.834: SUC: 202197ms, 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": [{"title":"System Specialist, Fortum Oyj, Espoo","url":"https://paikat.te-palvelut.fi/tpt/11642905"},{"title":"Project Manager, Business Technology, Fortum Oyj, Espoo","url":"https://tyomarkkinatori.fi/henkiloasiakkaat/avoimet-tyopaikat/63ed509a-ead7-4d30-8b5d-c61086f264b2"},{"title":"B2B-myyjä Fortum, Bookers Group Oy, Helsinki","url":"https://paikat.te-palvelut.fi/tpt/11600940"},{"title":"B2B-myyjä Fortum, Bookers Group Oy, Helsinki","url":"https://tyom, length 863865.
2025-02-10T00:25:32.835: ------ test: 42
2025-02-10T00:25:32.835: URL: https://megatron.headai.com/SumMaps?map_url_1=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json&map_url_2=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json&label_1=helsinki&label_2=espoo&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:25:33.759: RUN waiting: 0ms, {"status": "work in progress", "location": "https://megatron.headai.com/analysis/SumMaps/SumMaps_NdJoNSPjeU1739139933447.json", "current_position": "1"}.
2025-02-10T00:25:43.760: URL: https://megatron.headai.com/SumMaps?map_url_1=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_1cPitoQKMf1738362055033.json&map_url_2=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json&label_1=helsinki&label_2=espoo&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:44.123: SUC: 10925ms, ready", "location": "https://megatron.headai.com/analysis/SumMaps/SumMaps_NdJoNSPjeU1739139933447.json"}, length 117.
2025-02-10T00:25:44.123: URL: https://megatron.headai.com/analysis/SumMaps/SumMaps_NdJoNSPjeU1739139933447.json
2025-02-10T00:25:44.149: SUC: 11288ms, business_to_business", "weight": 5.0, "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": 76, "value": 12, "label": "business_to_consumer", "weight": 5.0, "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": 77, "value": 49, "label": "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": 78, "value": 12, "label": "consumer", "weight": 5.0, "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" }, length 345973.
2025-02-10T00:25:44.150: URL: https://megatron.headai.com//Utils?action=delete_data&url=https://megatron.headai.com/analysis/SumMaps/SumMaps_NdJoNSPjeU1739139933447.json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:45.127: SUC: 977ms, "status": "done", "file_deleted": true, "file": "SumMaps_NdJoNSPjeU1739139933447.json", "code": 2}, length 100.
2025-02-10T00:25:45.128: ------ test: 50
2025-02-10T00:25:45.128: URL: https://megatron.headai.com/Utils?language=en&word=obj&action=autocomplete&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:46.138: SUC: 1010ms, 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.
2025-02-10T00:25:46.138: ------ test: 51
2025-02-10T00:25:46.138: URL: https://megatron.headai.com/CourseToMindMap?course_code=XX00CG13&language=fi&output=json&word_type=&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:25:46.812: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/CourseToMindMap/CourseToMindMap_2eaLJKOwqE1668007519546.json"}.
2025-02-10T00:25:56.813: URL: https://megatron.headai.com/CourseToMindMap?course_code=XX00CG13&language=fi&output=json&word_type=&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:25:57.138: SUC: 10674ms, ready", "location": "https://megatron.headai.com/analysis/CourseToMindMap/CourseToMindMap_2eaLJKOwqE1668007519546.json"}, length 133.
2025-02-10T00:25:57.138: URL: https://megatron.headai.com/analysis/CourseToMindMap/CourseToMindMap_2eaLJKOwqE1668007519546.json
2025-02-10T00:25:57.139: SUC: 11000ms, 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.
2025-02-10T00:25:57.141: ------ test: 52
2025-02-10T00:25:57.141: URL: https://megatron.headai.com/Utils?action=skills_compass&data=data_LT&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:26:08.300: SUC: 11159ms, 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 66110.
2025-02-10T00:26:08.301: ------ test: 53
2025-02-10T00:26:08.301: URL: https://megatron.headai.com/Scorecard?language=fi&text_1=ammattitaito,tekij%C3%A4,fi,html,rakennusalan,rakennusalan,fi,luotettavuus,joustavuus,joustavuutta,asiakas,rakennustarvikkeet,suojavarusteet,henkil%C3%B6st%C3%B6hallinno,mittauslaitteet,valvoa,asentaa%20eristysmateriaaleja,asentaa%20eristysmateriaalia,asentaa%20rakennusprofiileja,huolehtia%20henkil%C3%B6st%C3%B6hallinnon%20asiakirjoista,huolehtia%20ty%C3%B6skentelyalueen%20puhtaudesta,k%C3%A4sitell%C3%A4%20saapuvia%20rakennustarvikkeita,k%C3%A4ytt%C3%A4%C3%A4%20hiomakoneita,k%C3%A4ytt%C3%A4%C3%A4%20hiomakonetta,k%C3%A4ytt%C3%A4%C3%A4%20mittauslaitteita,k%C3%A4ytt%C3%A4%C3%A4%20ristimittausta,k%C3%A4ytt%C3%A4%C3%A4%20suojavarusteita%20rakennusty%C3%B6maalla,lajitella%20j%C3%A4tett%C3%A4,merkit%C3%A4%20viiva%20v%C3%A4rilangalla,pit%C3%A4%C3%A4%20kirjaa%20ty%C3%B6n%20edistymisest%C3%A4,tarkastaa%20rakennustarvikkeita,tilata%20rakennustarvikkeita,tulkita%20kaksiulotteisia%20suunnitelmia,tulkita%20kolmiulotteisia%20suunnitelmia,ty%C3
2025-02-10T00:26:08.878: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/BuildScorecard/BuildScorecard_tl3t1IhdtR1738362443772.json"}.
2025-02-10T00:26:18.879: URL: https://megatron.headai.com/Scorecard?language=fi&text_1=ammattitaito,tekij%C3%A4,fi,html,rakennusalan,rakennusalan,fi,luotettavuus,joustavuus,joustavuutta,asiakas,rakennustarvikkeet,suojavarusteet,henkil%C3%B6st%C3%B6hallinno,mittauslaitteet,valvoa,asentaa%20eristysmateriaaleja,asentaa%20eristysmateriaalia,asentaa%20rakennusprofiileja,huolehtia%20henkil%C3%B6st%C3%B6hallinnon%20asiakirjoista,huolehtia%20ty%C3%B6skentelyalueen%20puhtaudesta,k%C3%A4sitell%C3%A4%20saapuvia%20rakennustarvikkeita,k%C3%A4ytt%C3%A4%C3%A4%20hiomakoneita,k%C3%A4ytt%C3%A4%C3%A4%20hiomakonetta,k%C3%A4ytt%C3%A4%C3%A4%20mittauslaitteita,k%C3%A4ytt%C3%A4%C3%A4%20ristimittausta,k%C3%A4ytt%C3%A4%C3%A4%20suojavarusteita%20rakennusty%C3%B6maalla,lajitella%20j%C3%A4tett%C3%A4,merkit%C3%A4%20viiva%20v%C3%A4rilangalla,pit%C3%A4%C3%A4%20kirjaa%20ty%C3%B6n%20edistymisest%C3%A4,tarkastaa%20rakennustarvikkeita,tilata%20rakennustarvikkeita,tulkita%20kaksiulotteisia%20suunnitelmia,tulkita%20kolmiulotteisia%20suunnitelmia,ty%C3
2025-02-10T00:26:19.233: SUC: 10577ms, ready", "location": "https://megatron.headai.com/analysis/BuildScorecard/BuildScorecard_tl3t1IhdtR1738362443772.json"}, length 131.
2025-02-10T00:26:19.249: URL: https://megatron.headai.com/analysis/BuildScorecard/BuildScorecard_tl3t1IhdtR1738362443772.json
2025-02-10T00:26:19.254: SUC: 10948ms, suojavarusteet", "weight": 5.0, "group": "2", "sources": [{"title":"dream","url":"dream"}], "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": "ammattitaito", "weight": 1.0, "group": "2", "sources": [{"title":"dream","url":"dream"}], "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": 1, "label": "luotettavuus", "weight": 1.0, "group": "2", "sources": [{"title":"dream","url":"dream"}], "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": 1, "label": "joustavuus", "weight": 2.0, "group": "2", "sources": [{"title":"dream","url":"dream"}], "searc, length 54260.
2025-02-10T00:26:19.255: ------ test: 59
2025-02-10T00:26:19.255: URL: https://megatron.headai.com/Utils?action=get_single_job_add&keywords=pesu%7C0.55&language=fi&noise_list=&limit=1&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:26:19.277: SUC: 22ms, pesu sekä varastointi. Tämä työ sopii erityisesti niille, joiden mielestä salikortti on yliarvostettu - täällä kunto kasvaa varmasti töiden parissa! Mitä odotamme sinulta? Reipas ja positiivinen asenne, joka ei hyydy sesongin kiireisimpänäkään hetkenä. Valmius fyysisesti raskaaseen työhön - näissä hommissa hikipisarat ovat yhtä taattuja kuin kevätsateet. Paineensietokyky, sillä sesonki on välillä kuin Formula 1 -varikko. Kokemus autoalalta ja/tai rengasasennuksesta on ehdoton plussa - mutta jos et ole vielä renkaanvaihdon mestari, sinut perehdytetään tehtäviin! Huolellisuutta ja tarkkuutta asiakkaiden renkaiden kanssa - ne ovat kuin heidän lempikenkänsä, ja niitä kohdellaan sen mukaisesti. Ajokortti (B, manuaali) on plussaa, ja työturvallisuuskortti ei myöskään haittaa! Työskentelyajat ja kesto Työpäivät sijoittuvat arkisin klo 8-17 välille. Sesongin huipuissa voi tulla lauantain työvuorojakin, joten varaudu myös viikonloppurumbaan. Työt alkavat noin maalis-huhtikuussa ja kestävät noi, length 2284.
2025-02-10T00:26:19.281: ------ test: 60
2025-02-10T00:26:19.281: URL: https://megatron.headai.com/Utils?action=get_single_course&course_code=fitech04343&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:26:19.299: SUC: 18ms, perspective. Responsibility and sustainability in projects and project networks with different collaboration models are also covered. The course provides in depth understanding on these themes and the related topics mentioned in the course content. Common course themes are. Project value creation and cooperation models. Responsibility and sustainability in projects and project networks with measures. Strategic project management and long term value creation. This course is organised in collaboration with Åbo Akademi, University of Oulu and Tampere University. Teaching schedule. Lectures will be held on Mondays and Thursdays at 16 00 19 00 through Zoom mandatory participation. Pre assignments need to be submitted before each lecture. Students also need to submit a final essay deadline 30.9.. Workload. Pre assignments reading pre material, watching videos, doing assignments, personal reflection 7 x 10 h 70 h. Lectures incl. class assignments, personal reflection 7 x 4 h 28 h. Final cour, length 1862.
2025-02-10T00:26:19.301: ------ test: 61
2025-02-10T00:26:19.302: URL: https://megatron.headai.com/Utils?action=get_job_title&title=business&language=en&additional_data=true&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:26:19.354: SUC: 52ms, 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.
2025-02-10T00:26:19.356: ------ test: 62
2025-02-10T00:26:19.356: URL: https://megatron.headai.com/Utils?action=futureproof_feedback&text_1=data&text_2=pata&list1=&list2=2&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:26:19.374: SUC: 18ms, feedback given"}, length 27.
2025-02-10T00:26:19.374: ------ test: 65
2025-02-10T00:26:19.374: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:26:20.327: SUC: 953ms, research", "weight": 1.0, "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=research", "relations": [] },{"id": 2, "value": 1, "label": "agent", "weight": 1.0, "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=agent", "relations": [] }],"edges": [{"from": 0, "to": 1, "value": 1, "title": "intelligent_agent - research"},{"from": 0, "to": 2, "value": 1, "title": "intelligent_agent - agent"},{"from": 1, "to": 2, "value": 1, "title": "research - agent"}]}, "indicators": {"processing_time": 928,"word_count": 20, "keyword_count": 3, "unique_keyword_count": 3, "cumulative_weight": 12.0, "machine_readability": 100, "machine_readability_text": "green", "information_quality": 30.0, "information_quality_text": "S, length 1820.
2025-02-10T00:26:20.328: ------ test: 66
2025-02-10T00:26:20.328: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:26:21.091: SUC: 763ms, 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": 6.0, "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": 736,"word_count": 20, "keyword_count": 3, "unique_keyword_count": 3, "cumulative_weight": 7.9999999998, "machine_readability": 100, "machine_readability_text": "green", "information_quality": 19.99999999949999, length 1848.
2025-02-10T00:26:21.092: ------ test: 43
2025-02-10T00:26:21.445: SQL: select country, count(id) from items_2021 where country=? and language=? and datediff(readtime, now())>? group by country; fi/fi, -30, 5000, .
2025-02-10T00:26:36.219: SUC: 15127ms fi/75237
2025-02-10T00:26:36.221: ------ test: 44
2025-02-10T00:26:36.302: SQL: select country, count(id) from items_2021 where country=? and language=? and datediff(readtime, now())>? group by country; fi/fi, -7, 1000, .
2025-02-10T00:26:50.955: SUC: 14734ms fi/19412
2025-02-10T00:26:50.960: ------ test: 45
2025-02-10T00:26:51.026: SQL: select country, count(id) from items_2021 where country=? and language=? and datediff(readtime, now())>? group by country; ph/en, -30, 500, .
2025-02-10T00:26:59.907: SUC: 8947ms ph/825
2025-02-10T00:26:59.908: ------ test: 46
2025-02-10T00:26:59.979: SQL: select country, count(id) from items_2021 where country=? and language=? and datediff(readtime, now())>? group by country; se/sv, -30, 2000, .
2025-02-10T00:27:23.088: SUC: 23180ms se/54819
2025-02-10T00:27:23.088: ------ test: 49
2025-02-10T00:27:23.155: SQL: select country, count(id) from items_2021 where country=? and language=? and datediff(readtime, now())>? group by country; eg/en, -7, 100, .
2025-02-10T00:27:33.207: SUC: 10118ms eg/1186
2025-02-10T00:27:33.208: ------ test: 70
2025-02-10T00:27:33.272: SQL: select country, count(id) from items_2021 where country=? and language=? and datediff(readtime, now())>? group by country; za/en, -30, 100, .
2025-02-10T00:27:41.837: SUC: 8629ms za/6561
2025-02-10T00:27:41.838: ------ test: 71
2025-02-10T00:27:41.922: SQL: select country, count(id) from items_2021 where country=? and language=? and datediff(readtime, now())>? group by country; nl/nl, -30, 100, .
2025-02-10T00:27:45.195: SUC: 3357ms nl/36347
2025-02-10T00:27:45.195: ------ test: 73
2025-02-10T00:27:45.195: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:27:45.744: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToGraph/TextToGraph_9zNKOgiLpj1738362550752.json"}.
2025-02-10T00:27:55.744: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:27:56.106: SUC: 10549ms, ready", "location": "https://megatron.headai.com/analysis/TextToGraph/TextToGraph_9zNKOgiLpj1738362550752.json"}, length 125.
2025-02-10T00:27:56.106: URL: https://megatron.headai.com/analysis/TextToGraph/TextToGraph_9zNKOgiLpj1738362550752.json
2025-02-10T00:27:56.108: SUC: 10911ms, java", "weight": 1.0, "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=java", "relations": [] },{"id": 1, "value": 1, "label": "intelligent_agent", "weight": 10.0, "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=intelligent_agent", "relations": [] },{"id": 2, "value": 1, "label": "research", "weight": 1.0, "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=research", "relations": [] },{"id": 3, "value": 1, "label": "agent", "weight": 1.0, "group": "1", "search_center": "false", "sources": [{"title": "", "url": ""}], "explain_api_call": "https://megatron.he, length 2297.
2025-02-10T00:27:56.108: ------ test: 74
2025-02-10T00:27:56.109: URL: https://megatron.headai.com/SemanticSimilarity?language=en&ontology=headai&high_privacy_mode=true&text=java&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:27:56.709: SUC: 600ms, java", "weight": 2.0}, {"keyword": "intelligent_agent", "weight": 3.0}, {"keyword": "research", "weight": 3.0}, {"keyword": "agent", "weight": 2.0}], "matching_words": [{"keyword": "java", "weight": 2.0}], "score": 2.0}, {"item": "qa-sdg-short", "namespace": "", "json_url": "https://megatron.headai.com/analysis/TextToGraph/TextToGraph_t4trClbTeq1677056836793.json", "language": "en", "ontology": "headai", "keywords": [{"keyword": "sustainable_future", "weight": 3.0}, {"keyword": "technologies", "weight": 1.0}, {"keyword": "sustainable", "weight": 2.0}, {"keyword": "technology", "weight": 2.0}, {"keyword": "continue", "weight": 1.0}, {"keyword": "future", "weight": 2.0}, {"keyword": "climate", "weight": 2.0}, {"keyword": "commitment", "weight": 1.0}, {"keyword": "set", "weight": 2.0}, {"keyword": "scenarios", "weight": 1.0}, {"keyword": "solutions", "weight": 1.0}, {"keyword": "industry", "weight": 2.0}, {"keyword": "business_to_business", "weight": 5.0}, {"keyword": "ethical", "weight", length 1749.
2025-02-10T00:27:56.712: ------ test: 75
2025-02-10T00:27:56.712: URL: https://megatron.headai.com/TranslateKnowledgeGraph?language=en&translate_to=fi&high_privacy_mode=true&url=https://megatron.headai.com/analysis/TextToGraph/TextToGraph_9zNKOgiLpj1738362550752.json&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:27:56.749: SUC: 37ms, agentti","relations":[],"original_label":"intelligent_agent","value":1,"search_center":"false","group":"1"},{"explain_api_call":"https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=&search_year=0&text=tutkimus","sources":[{"title":"","url":""}],"weight":1,"id":2,"label":"tutkimus","relations":[],"original_label":"research","value":1,"search_center":"false","group":"1"},{"explain_api_call":"https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=&search_year=0&text=agentti","sources":[{"title":"","url":""}],"weight":1,"id":3,"label":"agentti","relations":[],"original_label":"agent","value":1,"search_center":"false","group":"1"}],"unique_identifier":"mawopstbcn1739140068395","edges":[{"from":0,"to":1,"title":"java - älykäs_agentti","value":1},{"from":0,"to":2,"title":"java - tutkimus","value":1},{"from":0,"to":3,"title":"java - agentti","value":1},{"from":1,"to":2,"title":"älykäs_agentti - tutkimus","value":1},{"from":1,"to":3,"title":"älykäs_agentt, length 2218.
2025-02-10T00:27:56.750: ------ test: 76
2025-02-10T00:27:56.750: URL: https://megatron.headai.com/TextToGraph?ontology=headai&cache=true&language=en&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&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
2025-02-10T00:27:57.186: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/TextToGraph/TextToGraph_rgcZzdJrH21738362563164.json"}.
2025-02-10T00:28:07.187: URL: https://megatron.headai.com/TextToGraph?ontology=headai&cache=true&language=en&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&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
2025-02-10T00:28:07.526: SUC: 10437ms, ready", "location": "https://megatron.headai.com/analysis/TextToGraph/TextToGraph_rgcZzdJrH21738362563164.json"}, length 125.
2025-02-10T00:28:07.526: URL: https://megatron.headai.com/analysis/TextToGraph/TextToGraph_rgcZzdJrH21738362563164.json
2025-02-10T00:28:07.528: SUC: 10776ms, artificial_intelligence", "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=artificial_intelligence", "relations": [] },{"id": 1, "value": 1, "label": "system", "weight": 1.0, "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=system", "relations": [] },{"id": 2, "value": 3, "label": "applications_of_artificial_intelligence", "weight": 9.0, "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=applications_of_artificial_intelligence", "relations": [] },{"id": 3, "value": 1, "label": "computer_vision", "weight": 5.0, "group": "1", "search_center": ", length 14832.
2025-02-10T00:28:07.531: ------ test: 77
2025-02-10T00:28:07.531: URL: https://megatron.headai.com/JoinKnowledgeGraphs?language=en&high_privacy_mode=true&urls=https://megatron.headai.com/analysis/TextToGraph/TextToGraph_9zNKOgiLpj1738362550752.json,https://megatron.headai.com/analysis/TextToGraph/TextToGraph_rgcZzdJrH21738362563164.json&title=qa77&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:28:07.570: SUC: 39ms, agent","value":2,"search_center":"false","group":"1"},{"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","sources":[{"title":"TextToGraph_9zNKOgiLpj1738362550752.json","url":"https://megatron.headai.com/analysis/TextToGraph/TextToGraph_9zNKOgiLpj1738362550752.json"}],"weight":3,"id":2,"label":"research","value":1,"search_center":"false","group":"1"},{"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","sources":[{"title":"TextToGraph_9zNKOgiLpj1738362550752.json","url":"https://megatron.headai.com/analysis/TextToGraph/TextToGraph_9zNKOgiLpj1738362550752.json"},{"title":"TextToGraph_rgcZzdJrH21738362563164.json","url":"https://megatron.headai.com/analysis/TextToGraph/TextToGraph_rgcZzdJrH21738362563164.json"}],"weight":2,"id":3,"label":"agent","value":2,"search_center":"false","group":"1"},{"exp, length 19258.
2025-02-10T00:28:07.570: ------ test: 78
2025-02-10T00:28:07.575: URL: https://megatron.headai.com/ModifyKnowledgeGraph?keywords=&high_privacy_mode=true&weight=5&url=https://megatron.headai.com/analysis/TextToGraph/TextToGraph_rgcZzdJrH21738362563164.json&output=json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:28:07.864: SUC: 289ms, computer_vision","sources":[{"title":"","url":""}],"weight":5,"id":3,"label":"computer_vision","relations":[],"value":1,"search_center":"false","group":"1"},{"explain_api_call":"https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=&search_year=0&text=intelligent_systems","sources":[{"title":"","url":""}],"weight":7,"id":6,"label":"intelligent_systems","relations":[],"value":1,"search_center":"false","group":"1"},{"explain_api_call":"https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=&search_year=0&text=artificial_intelligence_systems","sources":[{"title":"","url":""}],"weight":10,"id":7,"label":"artificial_intelligence_systems","relations":[],"value":1,"search_center":"false","group":"1"},{"explain_api_call":"https://megatron.headai.com/mc_api?action=explain_map&type=json&data_set=&search_year=0&text=intelligent_agent","sources":[{"title":"","url":""}],"weight":10,"id":8,"label":"intelligent_agent","relations":[],"value":1,"search_center":"fal, length 4903.
2025-02-10T00:28:07.864: ------ test: 79
2025-02-10T00:28:07.864: URL: https://megatron.headai.com/BuildKnowledgeGraph?language=fi&size=200&ontology=headai&word_type=&output=json&dataset=job_ads&search_year=2021&search_month=&country=fi&update=&search_text=tietoturva,palvelunesto,virustorjunta,yksityisyys,yksityisyyden_suoja,cyber,gdpr,kyberturvallisuus,luottamuksellisuus,kyber&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:28:08.182: SUC: 0ms, ready", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_67q5i4GIBa1738362574932.json"}, length 141.
2025-02-10T00:28:08.183: URL: https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_67q5i4GIBa1738362574932.json
2025-02-10T00:28:08.329: SUC: 319ms, "title": "", "info": {"24h_limit_occured": false,"sources": {"document": "jobs.items_2021_from_serach_text_tietoturva-palvelunesto-virustorjunta-yksityisyys-yksityisyyden_suoja-cyber-gdpr-kyberturvallisuus-luottamuksellisuus-kyber_headai_fi"},"build": {"algorithm": "headai_graphimind_BuildMindMap_2022","build_date": "2025-02-01"}}, "data": {"legends": {"1": ""},"indicators": {"sample_size": 200, "total_data_size_matching_query": 1498}, "nodes": [{"id": 0, "value": 23, "unique_value": 15, "normalized_value": 115.0, "label": "sovellus", "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, length 2631018.
2025-02-10T00:28:08.330: ------ test: 80
2025-02-10T00:28:08.330: 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=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:28:08.648: SUC: 0ms, ready", "location": "https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_tVDeXfYxax1738363500376.json"}, length 141.
2025-02-10T00:28:08.648: URL: https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_tVDeXfYxax1738363500376.json
2025-02-10T00:28:08.889: SUC: 318ms, "title": "", "info": {"24h_limit_occured": false,"sources": {"document": "jobs.items_2021_from_serach_text_tietoturva-palvelunesto-virustorjunta-yksityisyys-yksityisyyden_suoja-cyber-gdpr-kyberturvallisuus-luottamuksellisuus-kyber_headai_fi"},"build": {"algorithm": "headai_graphimind_BuildMindMap_2022","build_date": "2025-02-01"}}, "data": {"legends": {"1": ""},"indicators": {"sample_size": 200, "total_data_size_matching_query": 11858}, "nodes": [{"id": 0, "value": 25, "unique_value": 9, "normalized_value": 125.0, "label": "postinjakaja", "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":, length 4539038.
2025-02-10T00:28:08.894: ------ test: 81
2025-02-10T00:28:08.894: URL: https://megatron.headai.com/BuildMapPrediction?urls=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_67q5i4GIBa1738362574932.json,https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_tVDeXfYxax1738363500376.json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:28:09.283: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/BuildMapPrediction/BuildMapPrediction_T9YDmGFx1Y1738365145003.json"}.
2025-02-10T00:28:19.283: URL: https://megatron.headai.com/BuildMapPrediction?urls=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_67q5i4GIBa1738362574932.json,https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_tVDeXfYxax1738363500376.json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:28:19.643: SUC: 10389ms, ready", "location": "https://megatron.headai.com/analysis/BuildMapPrediction/BuildMapPrediction_T9YDmGFx1Y1738365145003.json"}, length 139.
2025-02-10T00:28:19.643: URL: https://megatron.headai.com/analysis/BuildMapPrediction/BuildMapPrediction_T9YDmGFx1Y1738365145003.json
2025-02-10T00:28:19.859: SUC: 10749ms, "data":{"edges":[{"from":0,"to":0,"title":"postinjakaja - postinjakaja","value":46,"normalized_value":115},{"from":0,"to":1,"title":"postinjakaja - polkupyörät","value":8,"normalized_value":20},{"from":0,"to":2,"title":"postinjakaja - kattava","value":10,"normalized_value":25},{"from":0,"to":3,"title":"postinjakaja - varusteet","value":4,"normalized_value":10},{"from":0,"to":4,"title":"postinjakaja - varuste","value":2,"normalized_value":5},{"from":1,"to":2,"title":"polkupyörät - kattava","value":2,"normalized_value":5},{"from":1,"to":3,"title":"polkupyörät - varusteet","value":2,"normalized_value":5},{"from":1,"to":4,"title":"polkupyörät - varuste","value":2,"normalized_value":5},{"from":1,"to":5,"title":"polkupyörät - käyttää_paikkatietojärjestelmiä","value":2,"normalized_value":5},{"from":2,"to":3,"title":"kattava - varusteet","value":2,"normalized_value":5},{"from":2,"to":4,"title":"kattava - varuste","value":2,"normalized_value":5},{"from":2,"to":5,"title":"kattava - käyttää_paik, length 4266480.
2025-02-10T00:28:19.860: ------ test: 82
2025-02-10T00:28:19.860: URL: https://megatron.headai.com/BuildSignals?urls=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_67q5i4GIBa1738362574932.json,https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_tVDeXfYxax1738363500376.json&map_legends=2021,2022&dataset=custom&keyword=keywordtitteli&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC&update=true
2025-02-10T00:28:20.222: RUN qeueing-1: 0ms, {"status": "New calculation requested. Work is in queue.", "location": "https://megatron.headai.com/analysis/BuildSignals/BuildSignals_TYcpUYk1MS1738365157071.json"}.
2025-02-10T00:28:30.222: URL: https://megatron.headai.com/BuildSignals?urls=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_67q5i4GIBa1738362574932.json,https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_tVDeXfYxax1738363500376.json&map_legends=2021,2022&dataset=custom&keyword=keywordtitteli&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:28:30.556: SUC: 10362ms, ready", "location": "https://megatron.headai.com/analysis/BuildSignals/BuildSignals_TYcpUYk1MS1738365157071.json"}, length 127.
2025-02-10T00:28:30.557: URL: https://megatron.headai.com/analysis/BuildSignals/BuildSignals_TYcpUYk1MS1738365157071.json
2025-02-10T00:28:30.558: SUC: 10697ms, "data":[{"buttonTitle":"2021","hideLegend":true,"url":"https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_67q5i4GIBa1738362574932.json"},{"buttonTitle":">","url":"https://megatron.headai.com/analysis/BuildMapWithSignals/BuildMapWithSignals_i5dcC0EpdY1738365163112.json"},{"buttonTitle":"2022","hideLegend":true,"url":"https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_tVDeXfYxax1738363500376.json"}],"info":{"timeLabels":["2021","2022"]}}, length 493.
2025-02-10T00:28:30.558: ------ test: 83
2025-02-10T00:28:30.559: CMD: df -h
2025-02-10T00:28:30.559: EXE: 1/df -h.
2025-02-10T00:28:30.564: Row 1: Filesystem Size Used Avail Use% Mounted on.
2025-02-10T00:28:30.565: Row 2: tmpfs 187M 20M 167M 11% /run.
2025-02-10T00:28:30.565: Row 3: /dev/vda2 20G 15G 4.0G 80% /.
2025-02-10T00:28:30.565: Row 4: tmpfs 932M 0 932M 0% /dev/shm.
2025-02-10T00:28:30.565: Row 5: tmpfs 5.0M 0 5.0M 0% /run/lock.
2025-02-10T00:28:30.567: SUC: 8ms Diskfree qa.headai.com: tmpfs:11%, /dev/vda2:80%, tmpfs:0%, tmpfs:0%.
2025-02-10T00:28:30.567: ------ test: 84
2025-02-10T00:28:30.567: CMD: ssh -o ServerAliveInterval=60 -o ServerAliveCountMax=3 root@megatron.headai.com "df -h"
2025-02-10T00:28:30.567: EXE: 1/ssh -o ServerAliveInterval=60 -o ServerAliveCountMax=3 root@megatron.headai.com "df -h".
2025-02-10T00:28:30.665: Row 1: Filesystem Size Used Avail Use% Mounted on.
2025-02-10T00:28:30.665: Row 2: udev 63G 4.0K 63G 1% /dev.
2025-02-10T00:28:30.665: Row 3: tmpfs 13G 5.5M 13G 1% /run.
2025-02-10T00:28:30.665: Row 4: /dev/vda1 757G 527G 200G 73% /.
2025-02-10T00:28:30.665: Row 5: none 4.0K 0 4.0K 0% /sys/fs/cgroup.
2025-02-10T00:28:30.665: Row 6: none 5.0M 0 5.0M 0% /run/lock.
2025-02-10T00:28:30.666: Row 7: cgmfs 100K 0 100K 0% /run/cgmanager/fs.
2025-02-10T00:28:30.666: Row 8: none 63G 0 63G 0% /run/shm.
2025-02-10T00:28:30.666: Row 9: none 100M 0 100M 0% /run/user.
2025-02-10T00:28:30.666: Row 10: /dev/vdb 985G 242G 693G 26% /opt/tomcat/webapps/ROOT/analysis.
2025-02-10T00:28:30.666: Row 11: tmpfs 100K 0 100K 0% /var/lib/lxd/shmounts.
2025-02-10T00:28:30.666: Row 12: tmpfs 100K 0 100K 0% /var/lib/lxd/devlxd.
2025-02-10T00:28:30.668: SUC: 101ms Diskfree megatron.headai.com: udev:1%, tmpfs:1%, /dev/vda1:73%, none:0%, none:0%, cgmfs:0%, none:0%, none:0%, /dev/vdb:26%, tmpfs:0%, tmpfs:0%.
2025-02-10T00:28:30.668: ------ test: 87
2025-02-10T00:28:30.737: SQL: show global status like 'threads_connected';.
2025-02-10T00:28:30.740: Results: value=1/300.
2025-02-10T00:28:30.741: SQL: value, lines: 1, ret=1, 1.
2025-02-10T00:28:30.742: SUC: 73ms 1
2025-02-10T00:28:30.745: ------ test: 88
2025-02-10T00:28:30.745: URL: https://megatron.headai.com//Utils?action=get_jobs_by_text&search=&area=paris&author=hellowork&keywords=java,python&language=fr&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:28:34.333: SUC: 3588ms, java,python", "skills_searched": "python, java", "language": "fr", "area": ["paris"], "data": [{"author": "hellowork", "results": []}]}, length 148.
2025-02-10T00:28:34.334: ------ test: 89
2025-02-10T00:28:34.334: URL: https://headai.com
2025-02-10T00:28:34.676: SUC: 342ms, Trusted by 100+ customers and partners globally, length 188919.
2025-02-10T00:28:34.677: ------ test: 90
2025-02-10T00:28:34.712: SQL: SHOW PROCESSLIST;.
2025-02-10T00:28:34.716: Row 1: 6753001,root,localhost:40334,null,Query,0,starting,SHOW PROCESSLIST.
2025-02-10T00:28:34.717: SQL: COUNTNOTLINES:Command, lines: 1, ret=1, 1.
2025-02-10T00:28:34.721: SUC: 44ms 1
2025-02-10T00:28:34.722: ------ test: 91
2025-02-10T00:28:34.793: SQL: SHOW PROCESSLIST;.
2025-02-10T00:28:34.794: Row 1: 6753002,root,localhost:40336,null,Query,0,starting,SHOW PROCESSLIST.
2025-02-10T00:28:34.794: SQL: COUNT, lines: 1, ret=1, 1.
2025-02-10T00:28:34.795: SUC: 73ms 1
2025-02-10T00:28:34.797: ------ test: 93
2025-02-10T00:28:34.797: URL: https://megatron.headai.com//Utils?action=delete_data&url=https://megatron.headai.com/analysis/BuildKnowledgeGraph/BuildKnowledgeGraph_c29B2zsNfR1739139730870.json&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:28:35.776: SUC: 979ms, "status": "done", "file_deleted": true, "file": "BuildKnowledgeGraph_c29B2zsNfR1739139730870.json", "code": 2}, length 112.
2025-02-10T00:28:35.777: ------ test: 94
2025-02-10T00:28:35.777: EXE: 1/git ls-remote git@github.com:Headai/qa.git.
2025-02-10T00:28:37.126: Row 1: 3c99d76c329e1bdb31d027d6fb37f178c46e264d HEAD.
2025-02-10T00:28:37.126: Row 2: 3c99d76c329e1bdb31d027d6fb37f178c46e264d refs/heads/main.
2025-02-10T00:28:37.126: SUC: 94, 1349ms, lines: 2.
2025-02-10T00:28:37.127: checkJavaStack starting: 95.
2025-02-10T00:28:37.239: ------ test: 95
2025-02-10T00:28:37.239: EXE: 5/"jstack 1968 | awk '/nid=/ {if (in_block && has_h1_h2) {for (i = start_line; i <= last_h1_h2; i++) print lines[i]} start_line = NR; last_h1_h2 = 0; has_h1_h2 = 0; in_block = 1} /h1|h2/ {has_h1_h2 = 1; last_h1_h2 = NR} {lines[NR] = $0} END {if (in_block && has_h1_h2) {for (i = start_line; i <= last_h1_h2; i++) print lines[i]}}' || true".
2025-02-10T00:28:37.539: Row 1: "https-openssl-nio-443-exec-1812" #515126 daemon prio=5 os_prio=0 tid=0x00007fdd4c01e000 nid=0x115e6 runnable [0x00007fdf4a83c000].
2025-02-10T00:28:37.539: Row 2: java.lang.Thread.State: RUNNABLE.
2025-02-10T00:28:37.539: Row 3: at java.net.SocketInputStream.socketRead0(Native Method).
2025-02-10T00:28:37.540: Row 4: at java.net.SocketInputStream.socketRead(SocketInputStream.java:116).
2025-02-10T00:28:37.542: Row 5: at java.net.SocketInputStream.read(SocketInputStream.java:171).
2025-02-10T00:28:37.542: Row 6: at java.net.SocketInputStream.read(SocketInputStream.java:141).
2025-02-10T00:28:37.542: Row 7: at sun.security.ssl.SSLSocketInputRecord.read(SSLSocketInputRecord.java:457).
2025-02-10T00:28:37.542: Row 8: at sun.security.ssl.SSLSocketInputRecord.bytesInCompletePacket(SSLSocketInputRecord.java:68).
2025-02-10T00:28:37.542: Row 9: at sun.security.ssl.SSLSocketImpl.readApplicationRecord(SSLSocketImpl.java:1332).
2025-02-10T00:28:37.542: Row 10: at sun.security.ssl.SSLSocketImpl.access$300(SSLSocketImpl.java:73).
2025-02-10T00:28:37.542: Row 11: at sun.security.ssl.SSLSocketImpl$AppInputStream.read(SSLSocketImpl.java:948).
2025-02-10T00:28:37.543: Row 12: at java.io.BufferedInputStream.fill(BufferedInputStream.java:246).
2025-02-10T00:28:37.543: Row 13: at java.io.BufferedInputStream.read1(BufferedInputStream.java:286).
2025-02-10T00:28:37.543: Row 14: at java.io.BufferedInputStream.read(BufferedInputStream.java:345).
2025-02-10T00:28:37.543: Row 15: - locked <0x0000000792984168> (a java.io.BufferedInputStream).
2025-02-10T00:28:37.543: Row 16: at sun.net.www.http.HttpClient.parseHTTPHeader(HttpClient.java:735).
2025-02-10T00:28:37.543: Row 17: at sun.net.www.http.HttpClient.parseHTTP(HttpClient.java:678).
2025-02-10T00:28:37.543: Row 18: at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1593).
2025-02-10T00:28:37.543: Row 19: - locked <0x000000079280db58> (a sun.net.www.protocol.https.DelegateHttpsURLConnection).
2025-02-10T00:28:37.544: Row 20: at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1498).
2025-02-10T00:28:37.544: Row 21: - locked <0x000000079280db58> (a sun.net.www.protocol.https.DelegateHttpsURLConnection).
2025-02-10T00:28:37.544: Row 22: at java.net.HttpURLConnection.getResponseCode(HttpURLConnection.java:480).
2025-02-10T00:28:37.544: Row 23: at sun.net.www.protocol.https.HttpsURLConnectionImpl.getResponseCode(HttpsURLConnectionImpl.java:352).
2025-02-10T00:28:37.544: Row 24: at org.jsoup.helper.HttpConnection$Response.execute(HttpConnection.java:567).
2025-02-10T00:28:37.547: SUC: 95, 308ms, lines: 50.
2025-02-10T00:28:37.548: checkJavaStack end: 95, pid/ret=50.
2025-02-10T00:28:37.551: ------ test: 96
2025-02-10T00:28:37.553: URL: https://megatron.headai.com/Utils?action=validate_token&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:28:37.574: SUC: 21ms, 6, length 3.
2025-02-10T00:28:37.575: ------ test: 97
2025-02-10T00:28:37.575: EXE: 1/curl -s -X POST "https://megatron.headai.com/Utils?action=document_to_text&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC" -F "file=@resources/nok-small.pdf".
2025-02-10T00:28:37.745: 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.
2025-02-10T00:28:37.748: SUC: 97, 173ms, lines: 2.
2025-02-10T00:28:37.748: ------ test: 98
2025-02-10T00:28:37.748: EXE: 1/python3 -m pip show playwright.
2025-02-10T00:28:38.302: Row 1: Name: playwright.
2025-02-10T00:28:38.302: Row 2: Version: 1.48.0.
2025-02-10T00:28:38.304: Row 3: Summary: A high-level API to automate web browsers.
2025-02-10T00:28:38.307: Row 4: Home-page: https://github.com/Microsoft/playwright-python.
2025-02-10T00:28:38.308: Row 5: Author: Microsoft Corporation.
2025-02-10T00:28:38.308: Row 6: Author-email: .
2025-02-10T00:28:38.309: Row 7: License: Apache-2.0.
2025-02-10T00:28:38.309: Row 8: Location: /usr/local/lib/python3.10/dist-packages.
2025-02-10T00:28:38.309: Row 9: Requires: greenlet, pyee.
2025-02-10T00:28:38.310: Row 10: Required-by: .
2025-02-10T00:28:38.351: SUC: 98, 603ms, lines: 10.
2025-02-10T00:28:38.352: ------ test: 99
2025-02-10T00:28:38.352: EXE: 1/python3 ../playw/login.py.
2025-02-10T00:28:51.237: Row 1: SUC:.
2025-02-10T00:28:51.252: SUC: 99, 12900ms, lines: 1.
2025-02-10T00:28:51.253: ------ test: 100
2025-02-10T00:28:51.253: EXE: 1/python3 ../playw/yle.py.
2025-02-10T00:28:55.405: Row 1: SUC:.
2025-02-10T00:28:55.421: SUC: 100, 4168ms, lines: 1.
2025-02-10T00:28:55.421: ------ test: 101
2025-02-10T00:28:55.422: EXE: 1/python3 ../playw/yle-strict.py.
2025-02-10T00:28:59.553: Row 1: Console error ignored: Failed to load resource: the server responded with a status of 401 ().
2025-02-10T00:28:59.554: Row 2: Console error ignored: Failed to load resource: the server responded with a status of 401 ().
2025-02-10T00:28:59.554: Row 3: SUC:ok.
2025-02-10T00:28:59.569: SUC: 101, 4147ms, lines: 1.
2025-02-10T00:28:59.570: ------ test: 102
2025-02-10T00:28:59.570: EXE: 1/python3 ../playw/platform-strict2.py.
2025-02-10T00:29:25.315: WRN: stderr, Traceback (most recent call last):.
2025-02-10T00:29:25.316: WRN: stderr, File "/root/qa/mctester/../playw/platform-strict2.py", line 45, in .
2025-02-10T00:29:25.316: WRN: stderr, result = run().
2025-02-10T00:29:25.316: WRN: stderr, File "/root/qa/mctester/../playw/platform-strict2.py", line 30, in run.
2025-02-10T00:29:25.316: WRN: stderr, expect(page.get_by_role("heading")).to_contain_text("Headai Cloud").
2025-02-10T00:29:25.316: WRN: stderr, File "/usr/local/lib/python3.10/dist-packages/playwright/sync_api/_generated.py", line 18953, in to_contain_text.
2025-02-10T00:29:25.316: WRN: stderr, self._sync(.
2025-02-10T00:29:25.316: WRN: stderr, File "/usr/local/lib/python3.10/dist-packages/playwright/_impl/_sync_base.py", line 115, in _sync.
2025-02-10T00:29:25.317: WRN: stderr, return task.result().
2025-02-10T00:29:25.317: WRN: stderr, File "/usr/local/lib/python3.10/dist-packages/playwright/_impl/_assertions.py", line 201, in to_contain_text.
2025-02-10T00:29:25.318: WRN: stderr, await self._expect_impl(.
2025-02-10T00:29:25.318: WRN: stderr, File "/usr/local/lib/python3.10/dist-packages/playwright/_impl/_assertions.py", line 63, in _expect_impl.
2025-02-10T00:29:25.319: WRN: stderr, result = await self._actual_locator._expect(expression, expect_options).
2025-02-10T00:29:25.319: WRN: stderr, File "/usr/local/lib/python3.10/dist-packages/playwright/_impl/_locator.py", line 703, in _expect.
2025-02-10T00:29:25.319: WRN: stderr, result = await self._frame._channel.send_return_as_dict(.
2025-02-10T00:29:25.319: WRN: stderr, File "/usr/local/lib/python3.10/dist-packages/playwright/_impl/_connection.py", line 64, in send_return_as_dict.
2025-02-10T00:29:25.319: WRN: stderr, return await self._connection.wrap_api_call(.
2025-02-10T00:29:25.319: WRN: stderr, File "/usr/local/lib/python3.10/dist-packages/playwright/_impl/_connection.py", line 520, in wrap_api_call.
2025-02-10T00:29:25.319: WRN: stderr, raise rewrite_error(error, f"{parsed_st['apiName']}: {error}") from None.
2025-02-10T00:29:25.319: WRN: stderr, playwright._impl._errors.Error: LocatorAssertions.to_contain_text: Error: strict mode violation: get_by_role("heading") resolved to 2 elements:.
2025-02-10T00:29:25.319: WRN: stderr, 1) Predicting Your Next Action
aka get_by_role("heading", name="Predicting Your Next Action").
2025-02-10T00:29:25.320: WRN: stderr, 2) Login to your Account
aka get_by_role("heading", name="Login to your Account").
2025-02-10T00:29:25.320: WRN: stderr, .
2025-02-10T00:29:25.320: WRN: stderr, Call log:.
2025-02-10T00:29:25.320: WRN: stderr, LocatorAssertions.to_contain_text with timeout 5000ms.
2025-02-10T00:29:25.320: WRN: stderr, - waiting for get_by_role("heading").
2025-02-10T00:29:25.320: WRN: stderr, .
2025-02-10T00:29:25.350: Abnormal exit: 1, lines: 0, output: .
2025-02-10T00:29:25.351: ERR: 102, 25781ms, lines: 0.
2025-02-10T00:29:25.351: fileio: /var/www/html/ivves/notices.txt, mode: 3, length: 3099.
2025-02-10T00:29:25.352: fileio: /var/www/html/ivves/notices.txt, mode: 2, length: 3099.
2025-02-10T00:29:25.375: ------ test: 103
2025-02-10T00:29:25.375: EXE: 1/python3 ../playw/nok.py.
2025-02-10T00:29:26.524: Row 1: SUC:.
2025-02-10T00:29:26.540: SUC: 103, 1165ms, lines: 1.
2025-02-10T00:29:26.540: ------ test: 200
2025-02-10T00:29:26.541: EXE: 1/python3 ../playw/platform-strict2.py.
2025-02-10T00:29:52.505: Row 1: SUC:ok..
2025-02-10T00:29:52.518: SUC: 200, 25977ms, lines: 1.
2025-02-10T00:29:52.518: ------ test: 300
2025-02-10T00:29:52.518: EXE: stressTest, iterations: 2, delay: 10.
2025-02-10T00:29:52.529: ------ test: 50
2025-02-10T00:29:52.529: URL: https://megatron.headai.com/Utils?language=en&word=obj&action=autocomplete&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:29:53.551: SUC: 1022ms, 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.
2025-02-10T00:29:53.552: SUC: Successfully completed iteration 0
2025-02-10T00:30:02.530: ------ test: 50
2025-02-10T00:30:02.530: URL: https://megatron.headai.com/Utils?language=en&word=obj&action=autocomplete&token=w5NfVx1bxmdwHjpb9VbdTuWDGZlZSFOC
2025-02-10T00:30:03.511: SUC: 981ms, 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.
2025-02-10T00:30:03.511: SUC: Successfully completed iteration 1
2025-02-10T00:30:12.531: ------ test: end, 607227ms. Score 60/59.
2025-02-10T00:30:12.531: Test duration: 10m7s.