Meeting Title: ABC Standup Date: 2025-07-21 Meeting participants: Amber Lin, Annie Yu, Mustafa Raja, Awaish Kumar
WEBVTT
1 00:00:03.490 ⇒ 00:00:04.889 Amber Lin: Hi! Annie!
2 00:00:05.170 ⇒ 00:00:06.570 Annie Yu: Hello, Amber!
3 00:00:06.570 ⇒ 00:00:10.480 Amber Lin: I am so dead. Do you wanna see my calendar?
4 00:00:10.900 ⇒ 00:00:13.229 Annie Yu: Well, I think I’m good. I think I can.
5 00:00:15.810 ⇒ 00:00:16.680 Annie Yu: Oh, no.
6 00:00:16.680 ⇒ 00:00:21.449 Amber Lin: Like. Do you see it? Do you see my Mondays? I have no break.
7 00:00:21.850 ⇒ 00:00:26.330 Annie Yu: I I was so I don’t know how you do it.
8 00:00:26.330 ⇒ 00:00:31.230 Amber Lin: I don’t know, either. I I can’t. I can’t really handle this. I’m dying.
9 00:00:32.439 ⇒ 00:00:38.519 Amber Lin: And I mean, I realize that right now I sound like Utop, like I, I’ve heard him say this many times.
10 00:00:41.420 ⇒ 00:00:50.770 Amber Lin: okay, so our tickets. No, Casey’s out today. Do you know, do we know if he’s okay?
11 00:00:56.610 ⇒ 00:00:58.130 Annie Yu: Is he sick?
12 00:00:58.190 ⇒ 00:01:05.579 Amber Lin: I don’t know. Yeah, I’m a bit worried, but I know he was out today, and probably tomorrow I’ll check in with him.
13 00:01:06.260 ⇒ 00:01:10.170 Amber Lin: So that’s my stuff up there.
14 00:01:10.470 ⇒ 00:01:12.739 Amber Lin: That’s Casey’s stuff.
15 00:01:13.685 ⇒ 00:01:23.230 Amber Lin: I guess, since Luke is not here, I know, Annie, you’re still blocked on the dashboard. You still can’t see the Timestamps data.
16 00:01:23.230 ⇒ 00:01:25.920 Annie Yu: Yeah, I just checked right before I joined the the meeting.
17 00:01:26.343 ⇒ 00:01:29.729 Amber Lin: Okay. Wish. Could you help with that.
18 00:01:30.600 ⇒ 00:01:35.669 Awaish Kumar: Yeah, I I told you last week I will work on Monday, so I will do it today.
19 00:01:36.130 ⇒ 00:01:44.829 Amber Lin: Awesome. Yeah, Annie, let Wish know if there’s anything in which Annie has the requirements. So I’ll let you guys think on that.
20 00:01:46.900 ⇒ 00:01:50.760 Awaish Kumar: About start and end Timestamps right the the Api.
21 00:01:56.157 ⇒ 00:02:02.729 Awaish Kumar: It’s the same thing about the start and end time. Time stamps.
22 00:02:02.730 ⇒ 00:02:08.530 Amber Lin: Yeah. So Luke confirmed it. We have it. I think it just doesn’t show in real, that’s all.
23 00:02:08.530 ⇒ 00:02:11.340 Awaish Kumar: Yeah, he confirmed with with the
24 00:02:11.840 ⇒ 00:02:15.110 Awaish Kumar: The Api endpoint. I will see if it is working, and.
25 00:02:15.110 ⇒ 00:02:15.780 Amber Lin: Okay.
26 00:02:16.020 ⇒ 00:02:18.920 Awaish Kumar: And if it’s already available in S, 3, yeah.
27 00:02:18.920 ⇒ 00:02:24.729 Amber Lin: Yeah, awesome. I think one last thing before you 2 hop off
28 00:02:25.451 ⇒ 00:02:31.270 Amber Lin: for this Kpi dashboard, I think, is only available until
29 00:02:31.520 ⇒ 00:02:39.189 Amber Lin: July 16.th My assumption is that we just didn’t refresh it. Do we have, like a refresh schedule set up for this dashboard.
30 00:02:41.900 ⇒ 00:02:46.159 Annie Yu: I did not know. That’s something we have to manually
31 00:02:46.600 ⇒ 00:02:48.670 Annie Yu: set up. I can look into that.
32 00:02:48.670 ⇒ 00:02:51.089 Annie Yu: I think that’s a question for a wish of like.
33 00:02:51.927 ⇒ 00:02:58.990 Amber Lin: Do we pull the data and refresh it and reel on a certain cadence? Or does it automatically do that? Because I think
34 00:03:00.120 ⇒ 00:03:02.920 Amber Lin: at July 16.th
35 00:03:03.120 ⇒ 00:03:07.394 Awaish Kumar: Yeah, it’s it’s because, like, I’m like.
36 00:03:08.290 ⇒ 00:03:15.000 Awaish Kumar: it’s like for the real, like, somebody should configure it to for the schedules. Right?
37 00:03:15.799 ⇒ 00:03:22.349 Awaish Kumar: Otherwise it’s just the so it’s it’s like, is anyone who is building the model right.
38 00:03:23.170 ⇒ 00:03:24.560 Awaish Kumar: In the real.
39 00:03:25.187 ⇒ 00:03:37.409 Awaish Kumar: I’m not sure if any is working with the vimal files or not. But like, if if you are in there. If you are working on those vinyl files. Yeah, I think you can add the schedules there if we want to run.
40 00:03:37.730 ⇒ 00:03:45.960 Amber Lin: Okay. Any. Are you comfortable? With that I can assign this to you. You can ask for help if you can’t figure that one out, is that okay?
41 00:03:45.960 ⇒ 00:03:46.350 Annie Yu: Yeah, okay.
42 00:03:46.640 ⇒ 00:03:47.700 Amber Lin: Sounds good.
43 00:03:47.700 ⇒ 00:03:51.430 Annie Yu: Yeah, likely I will need help. But I I can look into it first.st
44 00:03:51.430 ⇒ 00:03:56.200 Amber Lin: Okay, so that will be the Yaml files in real.
45 00:03:56.690 ⇒ 00:04:08.170 Amber Lin: Probably AI will have some help on helping you write that if possible. Probably a wish is, is every hour like a re, or every half hour a reasonable timeframe? Or is that too frequent.
46 00:04:08.647 ⇒ 00:04:13.419 Awaish Kumar: It depends on. It depends on really the customer requirements.
47 00:04:13.420 ⇒ 00:04:16.050 Amber Lin: Yeah, the customer want a half hour. So I got.
48 00:04:16.050 ⇒ 00:04:30.090 Awaish Kumar: Half hour is, is just going to like. I’m not sure. How much like, how do you feel about their business like? Is it so critical, like data is not.
49 00:04:30.240 ⇒ 00:04:34.669 Amber Lin: I I wanted to be half day like I don’t think half hour is necessary.
50 00:04:34.980 ⇒ 00:04:50.170 Awaish Kumar: Like like, are they really making the the decisions every half hour based on our data? No, right? So it’s not like, we can say, okay, we can do, maybe 4 times a day, like 6 every 6 h.
51 00:04:50.430 ⇒ 00:04:51.030 Amber Lin: Okay.
52 00:04:54.090 ⇒ 00:04:54.610 Amber Lin: Oh.
53 00:04:54.610 ⇒ 00:04:55.270 Awaish Kumar: 6 h.
54 00:04:55.270 ⇒ 00:04:57.209 Amber Lin: 3, 6 h.
55 00:04:57.450 ⇒ 00:05:02.640 Amber Lin: Yeah, we could also just refresh during business hours, you know, like we could do.
56 00:05:02.640 ⇒ 00:05:10.340 Awaish Kumar: Yeah, like we do start with in the mornings like 9, 8, 9 am. And then
57 00:05:11.120 ⇒ 00:05:13.879 Awaish Kumar: like that, after every 6 h.
58 00:05:14.280 ⇒ 00:05:19.850 Amber Lin: And then, okay, I guess, Annie, just
59 00:05:20.150 ⇒ 00:05:28.650 Amber Lin: if you figure out how to do the refreshes, I think we can define the schedule a lot easier I’ll leave it. I’ll leave it up to you.
60 00:05:29.370 ⇒ 00:05:30.490 Annie Yu: Okay. Okay.
61 00:05:30.490 ⇒ 00:05:31.260 Amber Lin: All right.
62 00:05:32.018 ⇒ 00:05:34.650 Amber Lin: I think that’s it for the
63 00:05:35.450 ⇒ 00:05:43.030 Amber Lin: yeah. I think that’s it for the data side. I’ll stay on to talk with Mustafa about a ticket, but you 2 feel free to hop off.
64 00:05:43.170 ⇒ 00:05:44.290 Amber Lin: Don’t want to take more time.
65 00:05:45.830 ⇒ 00:05:46.750 Amber Lin: Thank you both.
66 00:05:47.050 ⇒ 00:05:48.269 Awaish Kumar: Thank you. Bye.
67 00:05:48.610 ⇒ 00:05:49.390 Amber Lin: Bye.
68 00:05:50.750 ⇒ 00:05:56.770 Amber Lin: Oh, I was just testing this one. I was looking at the looking at the doc.
69 00:05:58.770 ⇒ 00:06:06.389 Amber Lin: I have a question as in like when we add new ones. Does it replace the old ones in there?
70 00:06:14.320 ⇒ 00:06:15.290 Amber Lin: Hello!
71 00:06:15.460 ⇒ 00:06:17.849 Amber Lin: Or you’re muted. If you’re talking.