Meeting Title: ABC Standup Date: 2025-07-08 Meeting participants: Mustafa Raja, Annie Yu, Casie Aviles, Ryan Luke Daque, Amber Lin


WEBVTT

1 00:02:43.740 00:02:45.000 Amber Lin: Hi! Everyone!

2 00:02:45.470 00:02:47.089 Amber Lin: Thanks for joining.

3 00:02:49.370 00:03:09.709 Amber Lin: I’ll make this quick. We didn’t get to do standups yesterday or Friday or Thursday, I think. Friday. We’ll see how our current progress is. And this should be decently quick. So I want to start off with

4 00:03:10.636 00:03:17.070 Amber Lin: the data side. And then, once we’re done, you guys can hop off and we can talk about the other stuff.

5 00:03:18.060 00:03:27.930 Amber Lin: So oh, look! This says you said, this is blocked. Is there? A way we can

6 00:03:28.970 00:03:33.039 Amber Lin: resolve it, or we need right access. Who has?

7 00:03:33.450 00:03:37.739 Amber Lin: Who can give Luke writing access to this.

8 00:03:41.520 00:03:45.500 Casie Aviles: I don’t think I can. Yeah, I tried adding Luke earlier.

9 00:03:46.440 00:03:48.820 Amber Lin: I think we need someone who’s and.

10 00:03:49.690 00:03:52.750 Mustafa Raja: I think Rico might be able to do this.

11 00:03:53.340 00:03:56.780 Amber Lin: Oh, okay, can we?

12 00:03:58.023 00:04:07.120 Amber Lin: Ask in the channel ping rico, and if he can’t give you access, and then ping utam, so we’ll ping rico first.st

13 00:04:08.080 00:04:08.650 Ryan Luke Daque: Sure.

14 00:04:09.310 00:04:09.850 Amber Lin: Yeah.

15 00:04:14.200 00:04:15.170 Amber Lin: okay.

16 00:04:15.480 00:04:23.973 Amber Lin: so we’ll do that. I guess that blocks. I’ll say that this is Spani is blocked by that

17 00:04:25.350 00:04:28.700 Amber Lin: logged fine. Okay.

18 00:04:31.100 00:04:41.430 Amber Lin: alright sounds good. So for for these I’ll check in, maybe in an hour to see if it’s unblocked. But for now I think Luke and Annie, you guys feel free to hop off.

19 00:04:41.650 00:04:54.719 Amber Lin: we’ll get that unblocked. And and hopefully we get that done to get this ticket done today. So Annie can start looking at it because I wish that 4 51 wouldn’t take too long.

20 00:04:57.040 00:05:00.250 Amber Lin: Okay, thanks you, too.

21 00:05:06.760 00:05:08.070 Amber Lin: So

22 00:05:09.210 00:05:27.270 Amber Lin: long time. No. See, you guys, I know you tested the tested the wait. The Master Spreadsheet, how I I know you sent a loom. Apologize. It did not watch it. Let me go. Let me go find it.

23 00:05:28.120 00:05:32.269 Amber Lin: Oh, wait! Where is that?

24 00:05:34.780 00:05:40.379 Casie Aviles: Yeah, yeah. Second one. I just demonstrated some tests where.

25 00:05:40.380 00:05:45.959 Amber Lin: Oh, sorry. There’s 2 of you speaking. Yeah, keep going, please.

26 00:05:46.420 00:06:02.710 Casie Aviles: Yeah, I just you know, I just checked across reference the output of the AI with the master spreadsheet and just looking at the loom. I think it did. You know it provided accurate answers. So yeah, I think this is this works well so far.

27 00:06:03.410 00:06:08.760 Casie Aviles: although, like it’s not really like super like the edge cases, you know, like

28 00:06:08.970 00:06:11.929 Casie Aviles: I didn’t really test for that. These are just generic.

29 00:06:13.409 00:06:14.140 Casie Aviles: See.

30 00:06:14.370 00:06:23.501 Amber Lin: Yeah, I think at this point it’s so. It’s it’s pretty good. We’ll let them test it, and they will come up with edge cases of like, oh, this doesn’t work that doesn’t work.

31 00:06:23.770 00:06:24.480 Casie Aviles: Okay.

32 00:06:24.630 00:06:30.192 Amber Lin: I think one thing we need to do is also cross-reference it with the original sheet.

33 00:06:31.740 00:06:32.420 Casie Aviles: Oh, okay.

34 00:06:32.420 00:06:42.760 Amber Lin: That will flatten from, because I I keep worrying that when we flatten it something went wrong because I don’t. Sometimes the spreadsheets. It’s a little bit glitchy, so if we can.

35 00:06:42.760 00:06:43.410 Casie Aviles: I see it. Yeah.

36 00:06:43.410 00:06:52.039 Amber Lin: Probably say like 2 to 3 cases, and then we’ll pass it on to ABC folks, and they can test it, and they will come to us and say like, that doesn’t work that doesn’t work, and then we’ll know.

37 00:06:52.410 00:06:53.550 Casie Aviles: Okay. Then. Okay.

38 00:06:53.780 00:07:02.629 Amber Lin: Okay, so we’ll I’ll once it’s done internal review, we’ll move it to client review. So that’s good.

39 00:07:09.840 00:07:17.909 Amber Lin: okay, Mustafa. How I know that these were an internal review.

40 00:07:18.060 00:07:20.239 Amber Lin: I think these could be.

41 00:07:21.950 00:07:31.770 Amber Lin: I think Andy’s response could be closed off. Do we had a chance to look at? Why the wait. Where is it?

42 00:07:35.490 00:07:38.850 Amber Lin: Sorry. The on the other spreadsheet.

43 00:07:39.430 00:07:44.889 Amber Lin: The one that returns the central dock wasn’t working. Was that fixed.

44 00:07:45.671 00:07:48.558 Mustafa Raja: Yeah, the the reason was

45 00:07:49.310 00:07:56.000 Mustafa Raja: The same thing was turned off the super basic. So.

46 00:07:56.383 00:07:57.150 Amber Lin: I see.

47 00:07:57.150 00:08:00.770 Mustafa Raja: I turn it on so this should be working now.

48 00:08:03.270 00:08:06.750 Amber Lin: I’ll say that is, that is done.

49 00:08:12.340 00:08:15.710 Amber Lin: let me go. Check for the golden data sheet.

50 00:08:16.060 00:08:20.920 Amber Lin: Okay, awesome. I’ll just test these 2 real quick.

51 00:08:27.470 00:08:29.870 Amber Lin: How long does it usually take to generate.

52 00:08:31.630 00:08:34.329 Mustafa Raja: A minute about a minute, I guess.

53 00:08:35.087 00:08:39.869 Mustafa Raja: But but if it doesn’t find anything it’ll it’ll say it does. Didn’t find anything now.

54 00:08:39.870 00:08:40.440 Amber Lin: Oh!

55 00:08:40.440 00:08:46.380 Mustafa Raja: Previously. It wasn’t it? It would leave the cell blank. It wouldn’t leave the cell blank now.

56 00:08:47.040 00:08:55.950 Amber Lin: I see that’s awesome. So I’ll say, I’ll just say they’re oh.

57 00:08:56.820 00:09:06.570 Amber Lin: I’ll say they’re done. I’ll I’ll say we’ll see what it shows. Okay.

58 00:09:10.860 00:09:13.380 Amber Lin: think that’s most of it.

59 00:09:17.040 00:09:24.829 Amber Lin: yeah, I might need some help with the with the central doc, because right now it’s I’m trying to

60 00:09:25.190 00:09:35.819 Amber Lin: trying to. Oh, did it come? Yes, it came out. Yay, happy golden data sheet. Okay, it’s loading awesome. I will close out.

61 00:09:36.440 00:09:39.200 Amber Lin: We’ll close out that one as well.

62 00:09:42.590 00:09:47.719 Amber Lin: Yeah, yeah, just to give you guys context, I’m working

63 00:09:48.788 00:09:55.670 Amber Lin: I’m working on this massive beast. And I’m trying to clean up the whole thing.

64 00:09:55.860 00:10:07.128 Amber Lin: So I might need some help here and there. I still need to define the task. I’ll define the tickets, and if I need help I’ll I’ll let you guys know, probably by tomorrow,

65 00:10:07.560 00:10:11.180 Amber Lin: but hopefully, my goal is. And this week, too.

66 00:10:11.360 00:10:16.250 Amber Lin: have this cleaned up. So I’ll talk to you guys.

67 00:10:16.250 00:10:17.020 Mustafa Raja: Yeah, okay.

68 00:10:18.220 00:10:27.985 Amber Lin: Alrighty. Yeah, maybe there’s nothing from us right now, Casey. We’ll we’ll just test this spreadsheet and then we’re good to go.

69 00:10:28.620 00:10:31.779 Amber Lin: let me see if this updated

70 00:10:32.050 00:10:36.230 Amber Lin: also, the all the dashboards are down.

71 00:10:37.330 00:10:39.819 Amber Lin: What do you guys know? Why, that is.

72 00:10:40.110 00:10:40.910 Casie Aviles: He?

73 00:10:41.472 00:10:50.540 Casie Aviles: I’m not sure about exactly why, but I I do suspect it’s because of the enforcement of Mfa. For Snowflake, like the the authentication.

74 00:10:51.000 00:10:54.059 Amber Lin: Oh, is there a way we can.

75 00:10:54.810 00:11:03.969 Casie Aviles: Yeah, because it affected also our I mean Andy, when so like the exchange exchanges with the Csr. Are not being logged to Snowflake.

76 00:11:04.410 00:11:06.740 Casie Aviles: Oh, created like a ticket for that.

77 00:11:07.784 00:11:12.279 Amber Lin: Sorry. Where is that right now? Is it? Is it in here?

78 00:11:13.760 00:11:14.185 Casie Aviles: Oh,

79 00:11:14.880 00:11:17.850 Casie Aviles: I I created the ticket on our channel.

80 00:11:18.070 00:11:23.599 Amber Lin: Yeah, yeah, it’s there. I just think it didn’t get added to this cycle. I’m just trying to find it.

81 00:11:23.740 00:11:24.820 Casie Aviles: Oh, okay. Yeah.

82 00:11:24.820 00:11:26.000 Amber Lin: Issues.

83 00:11:26.340 00:11:27.800 Amber Lin: What was it called?

84 00:11:28.910 00:11:30.810 Casie Aviles: It’s AI, 3, 8, 4.

85 00:11:31.920 00:11:36.549 Amber Lin: Oh, I see! So it would be. It would be in in the AI team, I think.

86 00:11:37.730 00:11:40.110 Casie Aviles: Oh, oh, I see, I see. Yeah, I

87 00:11:40.460 00:11:42.899 Casie Aviles: I’m gonna reassign that I’m sorry.

88 00:11:42.900 00:11:47.530 Amber Lin: Okay, I actually need 4 Issue key.

89 00:11:51.794 00:11:55.789 Amber Lin: There, I’ll move it. Let’s see if we can.

90 00:11:56.370 00:12:02.200 Amber Lin: Let’s see if we can move that move to team. ABC, okay.

91 00:12:02.310 00:12:10.779 Amber Lin: fail to authenticate. Would you be dealing with this, or would Luke be dealing with this? I don’t know if Luke has the logins. Yet

92 00:12:11.950 00:12:13.339 Amber Lin: I think he does.

93 00:12:15.862 00:12:23.210 Casie Aviles: I mean, I, what I could do is check on any 10 side, because that’s where the

94 00:12:23.380 00:12:26.159 Casie Aviles: you know it. It’s not working with the Mfa.

95 00:12:27.530 00:12:33.549 Casie Aviles: So I’ll I’ll do the yeah. I’ll check the N. 8 N. Side. If there’s anything we can do, otherwise I’ll

96 00:12:33.790 00:12:34.843 Casie Aviles: I’ll let

97 00:12:35.540 00:12:39.030 Casie Aviles: I’ll let Luke know that I need help with the Snowflake side.

98 00:12:39.030 00:12:43.390 Amber Lin: Okay, sounds good. I’ll assign it to you. I’ll say

99 00:12:43.838 00:12:54.580 Amber Lin: ideally. We get this fixed by Thursday. So if we can take a look at this today. That will be great, because I want to show like for Thursday. I want to show them some numbers.

100 00:12:55.360 00:12:56.140 Casie Aviles: Sucking.

101 00:12:56.400 00:13:02.440 Amber Lin: Okay. So I’ll say, this is on da-da.

102 00:13:02.910 00:13:05.520 Amber Lin: Alright, that’s all.

103 00:13:08.850 00:13:11.600 Amber Lin: Thank you guys. We’ll talk tomorrow.

104 00:13:12.240 00:13:13.119 Casie Aviles: Okay, thank you.

105 00:13:13.120 00:13:13.970 Casie Aviles: Thanks. Amber.

106 00:13:13.970 00:13:14.870 Amber Lin: Bye.