Meeting Title: ABC Standup Date: 2025-07-09 Meeting participants: Awaish Kumar, Luke Daque, Annie Yu, Casie Aviles, Mustafa Raja, Amber Lin


WEBVTT

1 00:03:05.830 00:03:09.139 Amber Lin: Hi, sorry I have bad Internet. I’m late.

2 00:03:13.380 00:03:17.350 Amber Lin: Pulling up the issues really fast. I will make this quick.

3 00:03:17.600 00:03:28.199 Amber Lin: So on the dashboard side. Any updates on the errors that it was showing.

4 00:03:30.220 00:03:34.100 Amber Lin: I know we had to create a Snowflake service account.

5 00:03:37.130 00:03:39.879 Luke Daque: Are you referring to the real dashboard.

6 00:03:40.976 00:03:42.170 Amber Lin: Yes, yes.

7 00:03:42.170 00:03:50.630 Luke Daque: Yeah, I’m working on the creating, the reconnecting the Snowflake Service account.

8 00:03:51.030 00:03:54.289 Luke Daque: But I I was able to add the S. 3

9 00:03:55.353 00:03:57.829 Luke Daque: sources, and we should be able to.

10 00:03:57.830 00:03:58.260 Amber Lin: Okay.

11 00:03:58.320 00:04:01.029 Luke Daque: Work on the S resources there.

12 00:04:01.170 00:04:04.729 Luke Daque: But yeah, the Snowflake one is still in progress.

13 00:04:06.380 00:04:06.919 Luke Daque: I just.

14 00:04:06.920 00:04:07.320 Amber Lin: Nice.

15 00:04:07.320 00:04:10.919 Luke Daque: Service account. Earlier I was having trouble.

16 00:04:11.810 00:04:12.890 Amber Lin: That’s awesome.

17 00:04:14.390 00:04:17.209 Awaish Kumar: What table do we need access to.

18 00:04:18.690 00:04:19.630 Luke Daque: What is that?

19 00:04:21.213 00:04:25.620 Awaish Kumar: Like, what tables like do do we have a

20 00:04:25.910 00:04:28.780 Awaish Kumar: schema specific schema which we need.

21 00:04:29.430 00:04:33.430 Luke Daque: I believe it was the ABC.

22 00:04:33.700 00:04:36.419 Luke Daque: Something schema. Wait! Let me check.

23 00:04:37.860 00:04:39.220 Awaish Kumar: ABC logs.

24 00:04:39.220 00:04:44.250 Luke Daque: ABC logs database, ABC schema schema

25 00:04:45.092 00:04:48.660 Luke Daque: I did create. If you look at the the roles I mean the users. I did.

26 00:04:48.660 00:04:49.880 Awaish Kumar: I saw.

27 00:04:49.880 00:04:50.669 Luke Daque: At least.

28 00:04:52.530 00:04:57.100 Awaish Kumar: I see 2 different service users created recently.

29 00:04:57.600 00:04:59.969 Luke Daque: I created the real service user one.

30 00:05:01.530 00:05:02.250 Awaish Kumar: Okay.

31 00:05:02.510 00:05:05.419 Luke Daque: And that’s what I’m trying to connect to the real account.

32 00:05:07.830 00:05:14.768 Luke Daque: I also, I believe I saved it in one password. But let me double check on that for the keys, the Rsa. And

33 00:05:15.640 00:05:18.510 Luke Daque: B. 8 fuck us, Keiths.

34 00:05:23.520 00:05:31.299 Luke Daque: I’m just having a little bit of the base. 64 encrypted ones. But yeah, that’s I. I believe that’s the only thing that’s left.

35 00:05:31.420 00:05:33.100 Luke Daque: and we should be able to connect.

36 00:05:34.010 00:05:34.670 Awaish Kumar: Okay.

37 00:05:38.540 00:05:45.349 Amber Lin: Okay. I guess my question is, when can Annie be able to do stuff in vail.

38 00:05:51.100 00:05:57.179 Luke Daque: If there’s anything to do with regards to the S. 3 data, then Annie should be able to

39 00:05:57.430 00:06:01.360 Luke Daque: look into that. But for the snowflake one. We’ll have to

40 00:06:01.530 00:06:04.709 Luke Daque: yeah UN until we can access it. And we should be good.

41 00:06:04.710 00:06:09.869 Amber Lin: Okay? So the S. 3 date is one we got from 8 by 8, right?

42 00:06:12.030 00:06:14.849 Luke Daque: I believe. So. Yeah, that one that’s in aws.

43 00:06:15.370 00:06:15.780 Amber Lin: Okay.

44 00:06:15.780 00:06:16.310 Luke Daque: Yep.

45 00:06:20.114 00:06:24.270 Amber Lin: Where would Annie be able to see it? Would she be able to see it in real.

46 00:06:26.200 00:06:29.090 Luke Daque: Yeah, if she goes to the real instance and

47 00:06:29.450 00:06:32.140 Luke Daque: started locally, you should be able to see.

48 00:06:32.760 00:06:41.640 Amber Lin: Okay, that’s awesome so I think, oh, let’s see.

49 00:06:41.640 00:06:48.169 Awaish Kumar: So like, I have a question for Luke like like, Are you able? Were you able to

50 00:06:48.540 00:06:57.570 Awaish Kumar: update the the vimal file I showed you with the required report types.

51 00:06:59.210 00:07:02.180 Luke Daque: I added, all in the ticket.

52 00:07:03.610 00:07:06.070 Luke Daque: Yeah, please do add.

53 00:07:07.340 00:07:10.899 Awaish Kumar: Like, please do add these in the, in the form

54 00:07:11.050 00:07:15.920 Awaish Kumar: format which is in the vimil file I have. There is one like example.

55 00:07:16.360 00:07:18.460 Luke Daque: The yaml file, you mean, which.

56 00:07:18.460 00:07:20.369 Awaish Kumar: Yeah, yeah, in the Github file.

57 00:07:20.370 00:07:23.230 Luke Daque: Oh, I did not know that.

58 00:07:24.650 00:07:26.179 Awaish Kumar: I showed you the file.

59 00:07:27.390 00:07:30.539 Luke Daque: Is it in the ABC. Dashboard? I mean the repo.

60 00:07:30.800 00:07:31.490 Awaish Kumar: Yep

61 00:07:34.780 00:07:39.830 Awaish Kumar: in in. No sorry it’s in dexter pipelines. I when I was showing you my pipeline.

62 00:07:40.040 00:07:42.260 Awaish Kumar: which basically gets data from Api.

63 00:07:43.160 00:07:47.470 Awaish Kumar: there’s a conflict. Can we open the github

64 00:07:50.560 00:07:51.560 Awaish Kumar: like.

65 00:07:52.665 00:07:57.390 Amber Lin: I can’t open it. I will need to log in. It will take too long.

66 00:07:57.880 00:07:59.959 Awaish Kumar: Can I? Can. I just do that.

67 00:08:00.210 00:08:10.070 Amber Lin: Chat real quick, or I wish maybe you can share your screen. And Lou can look at it together. I mean, if that’s the yeah, okay

68 00:08:21.650 00:08:22.200 Awaish Kumar: Okay.

69 00:08:23.880 00:08:27.840 Amber Lin: Wait. I can’t. I can’t. Yeah, I can’t see your screen. There we go.

70 00:08:28.110 00:08:34.300 Awaish Kumar: Okay, yeah. Now, so like I, I in the pipelines.

71 00:08:34.650 00:08:41.679 Awaish Kumar: we have this 8 by 8 pipeline right? And I showed you that this is the format, right?

72 00:08:41.919 00:08:49.359 Awaish Kumar: So basically, all other values will be kind of same top. 3

73 00:08:49.640 00:08:52.599 Awaish Kumar: fields needs to be changed for every report. So.

74 00:08:52.740 00:09:00.540 Awaish Kumar: like, you know you will. You might have identified what report types we need to get the required data.

75 00:09:00.780 00:09:03.099 Awaish Kumar: We will just fill out that one.

76 00:09:03.390 00:09:07.160 Awaish Kumar: The title is just the name we we give to that report.

77 00:09:07.280 00:09:10.250 Awaish Kumar: And this group I condition is also part of

78 00:09:10.660 00:09:13.730 Awaish Kumar: when we we were identifying report types.

79 00:09:13.830 00:09:18.590 Awaish Kumar: There will be kind of multiple ways you can go by.

80 00:09:18.940 00:09:21.410 Awaish Kumar: So this is like, not

81 00:09:21.660 00:09:27.509 Awaish Kumar: so if you have, like shortlisted the list of report types, just add it here.

82 00:09:30.340 00:09:33.610 Luke Daque: Sounds good. I’ll create a Pr in a bit.

83 00:09:33.610 00:09:34.280 Awaish Kumar: Okay.

84 00:09:36.470 00:09:38.200 Awaish Kumar: Okay, yeah, that’s it.

85 00:09:52.350 00:09:54.909 Awaish Kumar: Yeah. Amber drop. I don’t know why.

86 00:09:58.610 00:10:02.609 Mustafa Raja: Yeah, she mentioned her Internet is a little weak.

87 00:10:03.300 00:10:05.940 Awaish Kumar: So like any one of you have the

88 00:10:06.800 00:10:09.330 Awaish Kumar: contacts on your tickets, you you can.

89 00:10:09.570 00:10:10.929 Awaish Kumar: How we stand off.

90 00:10:21.940 00:10:25.219 Annie Yu: We are. We supposed to go to the breakout room.

91 00:10:28.240 00:10:32.730 Awaish Kumar: But how to work. I I didn’t receive any gentrification.

92 00:10:34.190 00:10:36.470 Luke Daque: Yeah, I didn’t receive any as well.

93 00:10:37.530 00:10:43.080 Awaish Kumar: Okay? So yeah, like, okay for me, it’s done.

94 00:10:43.470 00:10:48.899 Awaish Kumar: You can join them if if you want to. You can ask amber and slack.

95 00:10:50.040 00:10:51.179 Luke Daque: Sounds good.

96 00:10:51.620 00:10:52.470 Luke Daque: Right.