evaluate x86_64-linux

Reproduce this run
Original Run
  1. 1.61 s $ /nix/store/9ypz3flqsrl5xl495mm8h645gadjsxi1-coreutils-9.11/bin/timeout --kill-after=15s 7200s /nix/store/2c11bvxlvcw56317zvqi7z7pm1kn6g8s-nix-ci-eval-0.0.0/bin/nix-ci-eval --flake git+https://codeberg.org/mtlynch/little-moments?ref=stream-imports%2F3%2Fstream-entries&rev=0f8cfb265f0f63ee53190d294213a7aeeaef3fdf --system x86_64-linux
  2. 21.39 s remote: Enumerating objects: 273, done.
  3. 21.43 s remote: Counting objects: 0% (1/273) remote: Counting objects: 1% (3/273) remote: Counting objects: 2% (6/273) remote: Counting objects: 3% (9/273) remote: Counting objects: 4% (11/273) remote: Counting objects: 5% (14/273) remote: Counting objects: 6% (17/273) remote: Counting objects: 7% (20/273) remote: Counting objects: 8% (22/273) remote: Counting objects: 9% (25/273) remote: Counting objects: 10% (28/273) remote: Counting objects: 11% (31/273) remote: Counting objects: 12% (33/273) remote: Counting objects: 13% (36/273) remote: Counting objects: 14% (39/273) remote: Counting objects: 15% (41/273) remote: Counting objects: 16% (44/273) remote: Counting objects: 17% (47/273) remote: Counting objects: 18% (50/273) remote: Counting objects: 19% (52/273) remote: Counting objects: 20% (55/273) remote: Counting objects: 21% (58/273) remote: Counting objects: 22% (61/273) remote: Counting objects: 23% (63/273) remote: Counting objects: 24% (66/273) remote: Counting objects: 25% (69/273) remote: Counting objects: 26% (71/273) remote: Counting objects: 27% (74/273) remote: Counting objects: 28% (77/273) remote: Counting objects: 29% (80/273) remote: Counting objects: 30% (82/273) remote: Counting objects: 31% (85/273) remote: Counting objects: 32% (88/273) remote: Counting objects: 33% (91/273) remote: Counting objects: 34% (93/273) remote: Counting objects: 35% (96/273) remote: Counting objects: 36% (99/273) remote: Counting objects: 37% (102/273) remote: Counting objects: 38% (104/273) remote: Counting objects: 39% (107/273) remote: Counting objects: 40% (110/273) remote: Counting objects: 41% (112/273) remote: Counting objects: 42% (115/273) remote: Counting objects: 43% (118/273) remote: Counting objects: 44% (121/273) remote: Counting objects: 45% (123/273) remote: Counting objects: 46% (126/273) remote: Counting objects: 47% (129/273) remote: Counting objects: 48% (132/273) remote: Counting objects: 49% (134/273) remote: Counting objects: 50% (137/273) remote: Counting objects: 51% (140/273) remote: Counting objects: 52% (142/273) remote: Counting objects: 53% (145/273) remote: Counting objects: 54% (148/273) remote: Counting objects: 55% (151/273) remote: Counting objects: 56% (153/273) remote: Counting objects: 57% (156/273) remote: Counting objects: 58% (159/273) remote: Counting objects: 59% (162/273) remote: Counting objects: 60% (164/273) remote: Counting objects: 61% (167/273) remote: Counting objects: 62% (170/273) remote: Counting objects: 63% (172/273) remote: Counting objects: 64% (175/273) remote: Counting objects: 65% (178/273) remote: Counting objects: 66% (181/273) remote: Counting objects: 67% (183/273) remote: Counting objects: 68% (186/273) remote: Counting objects: 69% (189/273) remote: Counting objects: 70% (192/273) remote: Counting objects: 71% (194/273) remote: Counting objects: 72% (197/273) remote: Counting objects: 73% (200/273) remote: Counting objects: 74% (203/273) remote: Counting objects: 75% (205/273) remote: Counting objects: 76% (208/273) remote: Counting objects: 77% (211/273) remote: Counting objects: 78% (213/273) remote: Counting objects: 79% (216/273) remote: Counting objects: 80% (219/273) remote: Counting objects: 81% (222/273) remote: Counting objects: 82% (224/273) remote: Counting objects: 83% (227/273) remote: Counting objects: 84% (230/273) remote: Counting objects: 85% (233/273) remote: Counting objects: 86% (235/273) remote: Counting objects: 87% (238/273) remote: Counting objects: 88% (241/273) remote: Counting objects: 89% (243/273) remote: Counting objects: 90% (246/273) remote: Counting objects: 91% (249/273) remote: Counting objects: 92% (252/273) remote: Counting objects: 93% (254/273) remote: Counting objects: 94% (257/273) remote: Counting objects: 95% (260/273) remote: Counting objects: 96% (263/273) remote: Counting objects: 97% (265/273) remote: Counting objects: 98% (268/273) remote: Counting objects: 99% (271/273) remote: Counting objects: 100% (273/273) remote: Counting objects: 100% (273/273), done.
  4. 21.43 s remote: Compressing objects: 0% (1/250) remote: Compressing objects: 1% (3/250) remote: Compressing objects: 2% (5/250) remote: Compressing objects: 3% (8/250) remote: Compressing objects: 4% (10/250) remote: Compressing objects: 5% (13/250) remote: Compressing objects: 6% (15/250) remote: Compressing objects: 7% (18/250) remote: Compressing objects: 8% (20/250) remote: Compressing objects: 9% (23/250) remote: Compressing objects: 10% (25/250) remote: Compressing objects: 11% (28/250) remote: Compressing objects: 12% (30/250) remote: Compressing objects: 13% (33/250) remote: Compressing objects: 14% (35/250) remote: Compressing objects: 15% (38/250) remote: Compressing objects: 16% (40/250) remote: Compressing objects: 17% (43/250) remote: Compressing objects: 18% (45/250) remote: Compressing objects: 19% (48/250) remote: Compressing objects: 20% (50/250) remote: Compressing objects: 21% (53/250) remote: Compressing objects: 22% (55/250) remote: Compressing objects: 23% (58/250) remote: Compressing objects: 24% (60/250) remote: Compressing objects: 25% (63/250) remote: Compressing objects: 26% (65/250) remote: Compressing objects: 27% (68/250) remote: Compressing objects: 28% (70/250) remote: Compressing objects: 29% (73/250) remote: Compressing objects: 30% (75/250) remote: Compressing objects: 31% (78/250) remote: Compressing objects: 32% (80/250) remote: Compressing objects: 33% (83/250) remote: Compressing objects: 34% (85/250) remote: Compressing objects: 35% (88/250) remote: Compressing objects: 36% (90/250) remote: Compressing objects: 37% (93/250) remote: Compressing objects: 38% (95/250) remote: Compressing objects: 39% (98/250) remote: Compressing objects: 40% (100/250) remote: Compressing objects: 41% (103/250) remote: Compressing objects: 42% (105/250) remote: Compressing objects: 43% (108/250) remote: Compressing objects: 44% (110/250) remote: Compressing objects: 45% (113/250) remote: Compressing objects: 46% (115/250) remote: Compressing objects: 47% (118/250) remote: Compressing objects: 48% (120/250) remote: Compressing objects: 49% (123/250) remote: Compressing objects: 50% (125/250) remote: Compressing objects: 51% (128/250) remote: Compressing objects: 52% (130/250) remote: Compressing objects: 53% (133/250) remote: Compressing objects: 54% (135/250) remote: Compressing objects: 55% (138/250) remote: Compressing objects: 56% (140/250) remote: Compressing objects: 57% (143/250) remote: Compressing objects: 58% (145/250) remote: Compressing objects: 59% (148/250) remote: Compressing objects: 60% (150/250) remote: Compressing objects: 61% (153/250) remote: Compressing objects: 62% (155/250) remote: Compressing objects: 63% (158/250) remote: Compressing objects: 64% (160/250) remote: Compressing objects: 65% (163/250) remote: Compressing objects: 66% (165/250) remote: Compressing objects: 67% (168/250) remote: Compressing objects: 68% (170/250) remote: Compressing objects: 69% (173/250) remote: Compressing objects: 70% (175/250) remote: Compressing objects: 71% (178/250) remote: Compressing objects: 72% (180/250) remote: Compressing objects: 73% (183/250) remote: Compressing objects: 74% (185/250) remote: Compressing objects: 75% (188/250) remote: Compressing objects: 76% (190/250) remote: Compressing objects: 77% (193/250) remote: Compressing objects: 78% (195/250) remote: Compressing objects: 79% (198/250) remote: Compressing objects: 80% (200/250) remote: Compressing objects: 81% (203/250) remote: Compressing objects: 82% (205/250) remote: Compressing objects: 83% (208/250) remote: Compressing objects: 84% (210/250) remote: Compressing objects: 85% (213/250) remote: Compressing objects: 86% (215/250) remote: Compressing objects: 87% (218/250) remote: Compressing objects: 88% (220/250) remote: Compressing objects: 89% (223/250) remote: Compressing objects: 90% (225/250) remote: Compressing objects: 91% (228/250) remote: Compressing objects: 92% (230/250) remote: Compressing objects: 93% (233/250) remote: Compressing objects: 94% (235/250) remote: Compressing objects: 95% (238/250) remote: Compressing objects: 96% (240/250) remote: Compressing objects: 97% (243/250) remote: Compressing objects: 98% (245/250) remote: Compressing objects: 99% (248/250) remote: Compressing objects: 100% (250/250) remote: Compressing objects: 100% (250/250), done.
  5. 21.66 s Receiving objects: 0% (1/273) Receiving objects: 1% (3/273) Receiving objects: 2% (6/273) Receiving objects: 3% (9/273) Receiving objects: 4% (11/273) Receiving objects: 5% (14/273) Receiving objects: 6% (17/273) Receiving objects: 7% (20/273) Receiving objects: 8% (22/273) Receiving objects: 9% (25/273) Receiving objects: 10% (28/273) Receiving objects: 11% (31/273) Receiving objects: 12% (33/273) Receiving objects: 13% (36/273) Receiving objects: 14% (39/273) Receiving objects: 15% (41/273) Receiving objects: 16% (44/273) Receiving objects: 17% (47/273) Receiving objects: 18% (50/273) Receiving objects: 19% (52/273) Receiving objects: 20% (55/273) Receiving objects: 21% (58/273) Receiving objects: 22% (61/273) Receiving objects: 23% (63/273) Receiving objects: 24% (66/273) Receiving objects: 25% (69/273) Receiving objects: 26% (71/273) Receiving objects: 27% (74/273) Receiving objects: 28% (77/273) Receiving objects: 29% (80/273) Receiving objects: 30% (82/273) Receiving objects: 31% (85/273) Receiving objects: 32% (88/273) Receiving objects: 33% (91/273) Receiving objects: 34% (93/273) Receiving objects: 35% (96/273) Receiving objects: 36% (99/273) Receiving objects: 37% (102/273) Receiving objects: 38% (104/273) Receiving objects: 39% (107/273) Receiving objects: 40% (110/273) Receiving objects: 41% (112/273) Receiving objects: 42% (115/273) Receiving objects: 43% (118/273) Receiving objects: 44% (121/273) Receiving objects: 45% (123/273) Receiving objects: 46% (126/273) Receiving objects: 47% (129/273) Receiving objects: 48% (132/273) Receiving objects: 49% (134/273) Receiving objects: 50% (137/273) Receiving objects: 51% (140/273) Receiving objects: 52% (142/273) Receiving objects: 53% (145/273) Receiving objects: 54% (148/273) Receiving objects: 55% (151/273) Receiving objects: 56% (153/273) Receiving objects: 57% (156/273) Receiving objects: 58% (159/273) Receiving objects: 59% (162/273) Receiving objects: 60% (164/273) Receiving objects: 61% (167/273) Receiving objects: 62% (170/273) Receiving objects: 63% (172/273) Receiving objects: 64% (175/273) Receiving objects: 65% (178/273) Receiving objects: 66% (181/273) Receiving objects: 67% (183/273) Receiving objects: 68% (186/273) Receiving objects: 69% (189/273) Receiving objects: 70% (192/273) Receiving objects: 71% (194/273) Receiving objects: 72% (197/273) Receiving objects: 73% (200/273) Receiving objects: 74% (203/273) Receiving objects: 75% (205/273) Receiving objects: 76% (208/273) Receiving objects: 77% (211/273) Receiving objects: 78% (213/273) Receiving objects: 79% (216/273) Receiving objects: 80% (219/273) Receiving objects: 81% (222/273) Receiving objects: 82% (224/273) Receiving objects: 83% (227/273) Receiving objects: 84% (230/273) Receiving objects: 85% (233/273) Receiving objects: 86% (235/273) Receiving objects: 87% (238/273) Receiving objects: 88% (241/273) Receiving objects: 89% (243/273) Receiving objects: 90% (246/273) Receiving objects: 91% (249/273) Receiving objects: 92% (252/273) Receiving objects: 93% (254/273) Receiving objects: 94% (257/273) Receiving objects: 95% (260/273) Receiving objects: 96% (263/273) remote: Total 273 (delta 16), reused 139 (delta 5), pack-reused 0 (from 0)
  6. 21.66 s Receiving objects: 97% (265/273) Receiving objects: 98% (268/273) Receiving objects: 99% (271/273) Receiving objects: 100% (273/273) Receiving objects: 100% (273/273), 1.23 MiB | 8.37 MiB/s, done.
  7. 21.66 s Resolving deltas: 0% (0/16) Resolving deltas: 6% (1/16) Resolving deltas: 12% (2/16) Resolving deltas: 18% (3/16) Resolving deltas: 25% (4/16) Resolving deltas: 31% (5/16) Resolving deltas: 37% (6/16) Resolving deltas: 43% (7/16) Resolving deltas: 50% (8/16) Resolving deltas: 56% (9/16) Resolving deltas: 62% (10/16) Resolving deltas: 68% (11/16) Resolving deltas: 75% (12/16) Resolving deltas: 81% (13/16) Resolving deltas: 87% (14/16) Resolving deltas: 93% (15/16) Resolving deltas: 100% (16/16) Resolving deltas: 100% (16/16), done.
  8. 21.70 s From https://codeberg.org/mtlynch/little-moments
  9. 21.70 s * branch 0f8cfb265f0f63ee53190d294213a7aeeaef3fdf -> FETCH_HEAD
  10. 23.06 s {"attrPath":["formatter","x86_64-linux"],"drvPath":"/nix/store/4sgi5w616zcdmdpki857al316j09bc0z-alejandra-4.0.0.drv","isCached":true,"type":"job"}
  11. 27.99 s {"attrPath":["packages","x86_64-linux","backend"],"drvPath":"/nix/store/77bxwcg4d3aisy9ip1kzhaaml4qk979g-little-moments-0.0.1.drv","isCached":false,"type":"job"}
  12. 28.35 s {"attrPath":["packages","x86_64-linux","backend-dev"],"drvPath":"/nix/store/9m8wf45jr8ybpzra68cigndhmkx09ar2-little-moments-dev-0.0.1.drv","isCached":false,"type":"job"}
  13. 30.84 s {"attrPath":["packages","x86_64-linux","check-bash"],"drvPath":"/nix/store/6h0sza7n1kjkfk3lvkswn84i32s1n21y-check-bash-0.0.0.drv","isCached":false,"type":"job"}
  14. 31.65 s {"attrPath":["packages","x86_64-linux","check-frontend"],"drvPath":"/nix/store/icmy8qmd674r5y5fbw3jfhc98dq425y8-check-frontend-0.0.0.drv","isCached":true,"type":"job"}
  15. 32.00 s {"attrPath":["packages","x86_64-linux","check-go-formatting"],"drvPath":"/nix/store/777jy4ps5w12qkbxfbqk1616z83zmxl6-check-go-formatting-0.0.0.drv","isCached":false,"type":"job"}
  16. 32.42 s {"attrPath":["packages","x86_64-linux","check-go-test-packages"],"drvPath":"/nix/store/lzyjh0hvylx3rdv316yvh92pyca1s675-check-go-test-packages-0.0.0.drv","isCached":false,"type":"job"}
  17. 32.77 s {"attrPath":["packages","x86_64-linux","check-trailing-newline"],"drvPath":"/nix/store/3lj7x9ppxfz570mmrffsdw4zfybmp2ig-check-trailing-newline-0.0.0.drv","isCached":false,"type":"job"}
  18. 33.10 s {"attrPath":["packages","x86_64-linux","check-trailing-whitespace"],"drvPath":"/nix/store/ysq0bnhnqdliy4gi01lw42w7zaf09fcs-check-trailing-whitespace-0.0.0.drv","isCached":false,"type":"job"}
  19. 37.16 s {"attrPath":["packages","x86_64-linux","deploy-to-fly"],"drvPath":"/nix/store/vxg7wwqaznl5l7x9r1sr552bclx0s2vd-deploy-to-fly.drv","isCached":false,"type":"job"}
  20. 37.27 s {"attrPath":["devShells","x86_64-linux","default"],"drvPath":"/nix/store/5zabadbr21p8c9x8qla7a3i4ahkmaj00-nix-shell.drv","isCached":true,"type":"job"}
  21. 38.05 s {"attrPath":["packages","x86_64-linux","diagram"],"drvPath":"/nix/store/728mhkz08yyvfwfm73yss0m12baqkff3-architecture-diagram.drv","isCached":true,"type":"job"}
  22. 38.54 s {"attrPath":["packages","x86_64-linux","docker-image"],"drvPath":"/nix/store/znnc15jk3rgfvnhh5w6d4zrvk7g5m07v-stream-little-moments.drv","isCached":false,"type":"job"}
  23. 38.94 s {"attrPath":["packages","x86_64-linux","go-tests"],"drvPath":"/nix/store/mrn1v1gs3bxl6am7h0xx1wp3pwfafzf4-go-tests-0.0.0.drv","isCached":false,"type":"job"}
  24. 39.49 s {"attrPath":["packages","x86_64-linux","import-from-tinybeans"],"drvPath":"/nix/store/y0nlp0xp01hgjj66lv14hy71lahx1bgb-import-from-tinybeans-0.0.1.drv","isCached":false,"type":"job"}
  25. 39.51 s {"attrPath":["packages","x86_64-linux","js-tests"],"drvPath":"/nix/store/201f4yfzwxaxijcp7if80l8xlb2d044r-js-tests-0.0.0.drv","isCached":false,"type":"job"}
  26. 39.52 s {"attrPath":["packages","x86_64-linux","lint-sql"],"drvPath":"/nix/store/k0bghijcqvmv26ajn51wgyljmpnwwg4z-lint-sql-0.0.0.drv","isCached":true,"type":"job"}
  27. 39.54 s {"attrPath":["packages","x86_64-linux","little-moments"],"drvPath":"/nix/store/77bxwcg4d3aisy9ip1kzhaaml4qk979g-little-moments-0.0.1.drv","isCached":false,"type":"job"}
  28. 39.55 s {"attrPath":["packages","x86_64-linux","little-moments-dev"],"drvPath":"/nix/store/9m8wf45jr8ybpzra68cigndhmkx09ar2-little-moments-dev-0.0.1.drv","isCached":false,"type":"job"}
  29. 41.05 s {"attrPath":["packages","x86_64-linux","e2e-tests"],"drvPath":"/nix/store/3nqdf1dhfdhlxxfa8wphcnl4hyvr9w12-e2e-tests-0.0.0.drv","isCached":false,"type":"job"}
  30. 41.64 s {"attrPath":["packages","x86_64-linux","deploy-to-fly"],"dependencies":[["packages","x86_64-linux","docker-image"]],"type":"dependency"}
  31. 41.64 s Discovered the following buildables.
  32. 41.64 s Some of these were already built successfully before; we will skip those builds.
  33. 41.99 s {"attrPath":["packages","x86_64-linux","deploy-to-fly"],"dependencies":[["packages","x86_64-linux","backend"]],"type":"dependency"}
  34. 42.12 s {"attrPath":["packages","x86_64-linux","docker-image"],"dependencies":[["packages","x86_64-linux","backend"]],"type":"dependency"}
  35. 42.73 s {"attrPath":["packages","x86_64-linux","e2e-tests"],"dependencies":[["packages","x86_64-linux","backend-dev"],["packages","x86_64-linux","import-from-tinybeans"]],"type":"dependency"}
  36. 42.85 s {"type":"done"}
  37. 42.86 s Job discovery completed.
More Logs Raw Logs

Agent Instructions

Wait for completion, without logs:

curl --netrc -N https://nix-ci.com/cb:mtlynch:little-moments/stream-imports%2F3%2Fstream-entries/0f8cfb265f0f63ee53190d294213a7aeeaef3fdf/5b4cdf2d-9ebf-4dc9-912b-0b260a4c4c4f/wait

Latest logs, with timestamps (streams while running):

curl --netrc -N https://nix-ci.com/cb:mtlynch:little-moments/stream-imports%2F3%2Fstream-entries/0f8cfb265f0f63ee53190d294213a7aeeaef3fdf/5b4cdf2d-9ebf-4dc9-912b-0b260a4c4c4f/tail

All logs, with timestamps (available after completion):

curl --netrc https://nix-ci.com/cb:mtlynch:little-moments/stream-imports%2F3%2Fstream-entries/0f8cfb265f0f63ee53190d294213a7aeeaef3fdf/5b4cdf2d-9ebf-4dc9-912b-0b260a4c4c4f/logs

Raw logs, from the start (no timestamps):

curl --netrc -N https://nix-ci.com/cb:mtlynch:little-moments/stream-imports%2F3%2Fstream-entries/0f8cfb265f0f63ee53190d294213a7aeeaef3fdf/5b4cdf2d-9ebf-4dc9-912b-0b260a4c4c4f/raw-logs

Content types available for /logs and /tail (use Accept header):

Example:

curl --netrc -H "Accept: text/csv" https://nix-ci.com/cb:mtlynch:little-moments/stream-imports%2F3%2Fstream-entries/0f8cfb265f0f63ee53190d294213a7aeeaef3fdf/5b4cdf2d-9ebf-4dc9-912b-0b260a4c4c4f/logs

Reproduce locally: https://nix-ci.com/cb:mtlynch:little-moments/stream-imports%2F3%2Fstream-entries/0f8cfb265f0f63ee53190d294213a7aeeaef3fdf/5b4cdf2d-9ebf-4dc9-912b-0b260a4c4c4f/repro

This page is also available in machine-friendly formats. Request one with the Accept header:

For more instructions, fetch https://nix-ci.com/instructions .