Meeting Title: ABC Standup Date: 2025-07-24 Meeting participants: Annie Yu, Mustafa Raja, Casie Aviles, Amber Lin
WEBVTT
1 00:00:18.720 ⇒ 00:00:20.250 Amber Lin: Casey, you’re back.
2 00:00:24.560 ⇒ 00:00:25.260 Casie Aviles: A.
3 00:00:27.900 ⇒ 00:00:29.170 Amber Lin: How’s everything?
4 00:00:29.780 ⇒ 00:00:31.100 Casie Aviles: Yeah. Doing. Good.
5 00:00:31.290 ⇒ 00:00:32.400 Casie Aviles: Much better. Now.
6 00:00:32.940 ⇒ 00:00:33.660 Amber Lin: Okay.
7 00:00:33.950 ⇒ 00:00:35.510 Amber Lin: Glad to hear that.
8 00:00:39.680 ⇒ 00:00:40.580 Amber Lin: All right.
9 00:00:43.090 ⇒ 00:00:43.820 Amber Lin: Here.
10 00:00:46.650 ⇒ 00:00:51.559 Amber Lin: Dashboard issue. Resolved. I know Uton was texting in chat as well.
11 00:00:53.849 ⇒ 00:01:00.079 Annie Yu: No, not really. So the source file. I still have problem connecting.
12 00:01:00.310 ⇒ 00:01:01.240 Annie Yu: And I know that.
13 00:01:01.810 ⇒ 00:01:17.250 Annie Yu: All the in the comment. So right now I can’t get the data if I specify a day. So like July 20 second, I can’t just get all the data.
14 00:01:20.039 ⇒ 00:01:20.620 Annie Yu: And
15 00:01:21.270 ⇒ 00:01:30.550 Annie Yu: with that, when I get try to get all the data, the error code is still the same as what was shown yesterday morning.
16 00:01:30.550 ⇒ 00:01:36.617 Amber Lin: Oh, I see, I see a wish is out today.
17 00:01:37.180 ⇒ 00:01:43.070 Amber Lin: I think you’ll have to get time with Utam to solve that. I know he was responding in the Channel.
18 00:01:43.603 ⇒ 00:01:46.640 Amber Lin: Has has his responses been helpful yet?
19 00:01:47.078 ⇒ 00:02:01.539 Annie Yu: Yes, he helped with the second, so I was unclear with the the second. So it was actually milliseconds. But I fixed the code to get to the accurate seconds. But that’s
20 00:02:01.990 ⇒ 00:02:03.620 Annie Yu: still the other.
21 00:02:03.620 ⇒ 00:02:03.990 Amber Lin: Thanks.
22 00:02:03.990 ⇒ 00:02:06.200 Annie Yu: Still still the main issue.
23 00:02:09.280 ⇒ 00:02:10.350 Amber Lin: I see.
24 00:02:10.949 ⇒ 00:02:11.790 Amber Lin: So.
25 00:02:12.930 ⇒ 00:02:19.390 Annie Yu: But Luke tried on his end. I think he can access
26 00:02:20.400 ⇒ 00:02:23.069 Annie Yu: the data without specifying a date.
27 00:02:24.130 ⇒ 00:02:27.610 Amber Lin: Okay, haven’t so able to do that.
28 00:02:27.950 ⇒ 00:02:37.310 Annie Yu: Yeah, but I can’t. But then, the day before yesterday I I could, and I never changed the code
29 00:02:38.210 ⇒ 00:02:39.490 Annie Yu: in terms of like not.
30 00:02:39.490 ⇒ 00:02:39.820 Amber Lin: So.
31 00:02:40.160 ⇒ 00:02:41.730 Annie Yu: The date, so.
32 00:02:44.690 ⇒ 00:02:48.970 Amber Lin: You know, if you.
33 00:02:49.350 ⇒ 00:02:50.659 Annie Yu: Amber. You’re you’re breaking.
34 00:02:50.660 ⇒ 00:02:52.150 Amber Lin: We can commute.
35 00:02:53.100 ⇒ 00:02:55.710 Amber Lin: Yeah, I I know.
36 00:02:55.710 ⇒ 00:02:56.230 Annie Yu: Much better.
37 00:02:56.230 ⇒ 00:03:01.109 Amber Lin: My my Internet, yeah, my Internet’s pretty bad. So I think
38 00:03:01.430 ⇒ 00:03:05.719 Amber Lin: you’ll need help to solve this issue. I know you’ve been stuck for a few days.
39 00:03:05.720 ⇒ 00:03:08.350 Annie Yu: Yeah, I should try to do what I could.
40 00:03:08.350 ⇒ 00:03:09.540 Amber Lin: To them.
41 00:03:10.010 ⇒ 00:03:11.579 Annie Yu: Okay, yeah. So I know.
42 00:03:12.190 ⇒ 00:03:14.540 Amber Lin: Right now, if you’re stuck we’ll just ask for help.
43 00:03:15.030 ⇒ 00:03:18.589 Annie Yu: Okay, yeah. But the the code itself is
44 00:03:19.440 ⇒ 00:03:27.509 Annie Yu: in a in a good spot. And but I just I can’t really validate some of the
45 00:03:27.630 ⇒ 00:03:30.770 Annie Yu: the numbers without without having all the data.
46 00:03:33.770 ⇒ 00:03:34.850 Amber Lin: Add
47 00:03:35.930 ⇒ 00:03:36.539 Annie Yu: You’ll have them.
48 00:03:36.540 ⇒ 00:03:38.829 Amber Lin: This situation at full time.
49 00:03:39.865 ⇒ 00:03:45.870 Annie Yu: I did. Oh, oh, at Utam. Okay, I think, he added.
50 00:03:45.870 ⇒ 00:03:46.320 Amber Lin: But.
51 00:03:46.320 ⇒ 00:03:48.270 Annie Yu: When he saw that issue.
52 00:03:49.920 ⇒ 00:03:51.890 Amber Lin: Yeah,
53 00:03:53.860 ⇒ 00:03:59.059 Annie Yu: Is it? Is it Utam or Luke, that I should be? Communicate this with.
54 00:04:02.770 ⇒ 00:04:04.550 Casie Aviles: Oh, looks like amber got cut.
55 00:04:05.750 ⇒ 00:04:06.580 Annie Yu: Okay.
56 00:04:36.780 ⇒ 00:04:38.660 Annie Yu: Yeah. I’m not sure if she’s coming back.
57 00:04:40.100 ⇒ 00:04:40.930 Annie Yu: Hello.
58 00:04:40.930 ⇒ 00:04:41.410 Casie Aviles: You know.
59 00:04:41.410 ⇒ 00:04:46.620 Amber Lin: Hi, there! I’m back! I oh, I said, let’s let’s escalate to Utam.
60 00:04:47.770 ⇒ 00:04:52.059 Annie Yu: Okay. And I’m gonna add, Luke, and you as well.
61 00:04:52.060 ⇒ 00:04:57.729 Amber Lin: Sure. Yeah, but I think Uten will be able to solve it. I think Luke wouldn’t know how to do it either.
62 00:04:58.850 ⇒ 00:05:08.119 Annie Yu: Okay, yeah. Yesterday we paired me and Luke and he said, it looks like a wish. Did the data transformation before
63 00:05:08.430 ⇒ 00:05:13.689 Annie Yu: loading? So he also couldn’t see what Oish wrote.
64 00:05:14.320 ⇒ 00:05:24.960 Amber Lin: Hmm, I see. Okay, yeah, we’ll need to ask. CC, a waste just in case it still doesn’t get solved and always gets back. But he’s not here today.
65 00:05:25.300 ⇒ 00:05:25.980 Annie Yu: Okay.
66 00:05:26.420 ⇒ 00:05:27.150 Amber Lin: Awesome.
67 00:05:28.056 ⇒ 00:05:39.450 Amber Lin: I think that’s all on the data side. And he ping me in the channel. If you need anything, if you need me to ping anyone and then we’ll talk, probably later today or tomorrow.
68 00:05:39.450 ⇒ 00:05:51.330 Annie Yu: Yeah. And even with the issue, I still open a Pr, just because I I could still write some code. And I put look as the reviewer, so I’m not sure but that’s kind of like a long
69 00:05:51.630 ⇒ 00:06:00.820 Annie Yu: Pr. So a ticket for him would be would be good. I don’t think that that would be just like a minute task for him.
70 00:06:01.312 ⇒ 00:06:03.280 Amber Lin: Okay, so I will.
71 00:06:03.630 ⇒ 00:06:11.280 Amber Lin: I’ll make a task for review. And Tr alright.
72 00:06:11.750 ⇒ 00:06:15.700 Amber Lin: did you ping him the channel that there was a Pr for him?
73 00:06:16.135 ⇒ 00:06:18.310 Annie Yu: There was a github notification.
74 00:06:18.310 ⇒ 00:06:19.180 Amber Lin: Oh, okay.
75 00:06:19.640 ⇒ 00:06:20.750 Amber Lin: Sounds good.
76 00:06:21.180 ⇒ 00:06:22.210 Amber Lin: All right.
77 00:06:23.360 ⇒ 00:06:23.950 Annie Yu: Okay.
78 00:06:24.810 ⇒ 00:06:25.680 Amber Lin: Thank you.
79 00:06:25.900 ⇒ 00:06:26.919 Annie Yu: Thank you.
80 00:06:28.480 ⇒ 00:06:29.040 Amber Lin: Yeah.
81 00:06:30.123 ⇒ 00:06:34.350 Amber Lin: Let’s see, think my Internet has gotten better.
82 00:06:34.620 ⇒ 00:06:39.209 Amber Lin: So let’s see, let’s start here.
83 00:06:41.080 ⇒ 00:06:50.680 Amber Lin: I’ll go. I’ll go test this one and how can I test this.
84 00:06:52.280 ⇒ 00:06:57.990 Mustafa Raja: Yeah. So so you you have typed, do we service access in that?
85 00:07:00.150 ⇒ 00:07:06.207 Mustafa Raja: And I did test it last night. So there should be an example. So there should be some examples.
86 00:07:06.510 ⇒ 00:07:07.660 Amber Lin: Sounds good.
87 00:07:15.220 ⇒ 00:07:17.099 Casie Aviles: Oh, wait! Is this for the spreadsheet?
88 00:07:17.460 ⇒ 00:07:20.210 Casie Aviles: The service area? Oh, okay.
89 00:07:22.074 ⇒ 00:07:25.330 Amber Lin: Wait, do we service?
90 00:07:25.970 ⇒ 00:07:28.559 Amber Lin: Then she’ll pass in.
91 00:07:28.940 ⇒ 00:07:30.479 Amber Lin: Yeah, I just wanted to.
92 00:07:30.590 ⇒ 00:07:33.839 Amber Lin: Okay. It done. I I think
93 00:07:33.970 ⇒ 00:07:38.940 Amber Lin: we have a new issue that we should look at it together.
94 00:07:39.080 ⇒ 00:07:39.970 Amber Lin: Okay, awesome.
95 00:07:40.360 ⇒ 00:07:42.699 Mustafa Raja: The one that came in yesterday.
96 00:07:44.450 ⇒ 00:07:48.139 Amber Lin: I think the one you brought up that things are taking so long.
97 00:07:48.850 ⇒ 00:07:53.680 Mustafa Raja: Yeah, yeah. So so for for this, can I share my screen quickly?
98 00:07:53.680 ⇒ 00:07:54.530 Amber Lin: Yeah. Totally.
99 00:07:57.140 ⇒ 00:07:57.940 Mustafa Raja: Shit.
100 00:08:21.250 ⇒ 00:08:35.836 Mustafa Raja: Okay? Obviously, we see that. Previously, what we were doing, we we were ingesting the whole thing in our AI agent. Right? So I’ve now added the step where it filters only the
101 00:08:36.789 ⇒ 00:08:38.869 Mustafa Raja: zip code that we are looking for.
102 00:08:40.580 ⇒ 00:08:58.850 Mustafa Raja: Yeah, so it only knows knows information about that with, and it’s easier for the AI agent to respond back about it. Also, previously, when when we were giving it the whole thing. It would sometimes give us
103 00:08:59.521 ⇒ 00:09:03.390 Mustafa Raja: the answers that weren’t correct, and it takes about 3 seconds.
104 00:09:05.160 ⇒ 00:09:05.950 Mustafa Raja: No.
105 00:09:06.520 ⇒ 00:09:07.990 Amber Lin: Wow.
106 00:09:07.990 ⇒ 00:09:14.449 Amber Lin: yeah. So this is for the service areas. We can do this for the inspector sheet. I guess.
107 00:09:14.820 ⇒ 00:09:15.500 Mustafa Raja: Also.
108 00:09:16.710 ⇒ 00:09:19.330 Amber Lin: I see. Let me test.
109 00:09:19.330 ⇒ 00:09:26.080 Mustafa Raja: Yeah, most of it was done by Casey. I just added the the step. I just tested it and added the step for
110 00:09:26.290 ⇒ 00:09:30.840 Mustafa Raja: oh, making it. Yeah. Use only the thing that we need.
111 00:09:32.340 ⇒ 00:09:36.620 Casie Aviles: Thanks. Mustafa. Yeah. I didn’t think of the filtering part.
112 00:09:37.250 ⇒ 00:09:44.100 Mustafa Raja: Yeah, yeah, it’s easier if if it were in super base, because we can then pull only the things that we need right?
113 00:09:44.970 ⇒ 00:09:45.790 Casie Aviles: Yeah, that.
114 00:09:45.790 ⇒ 00:09:51.560 Amber Lin: Yeah, we can make it into super base. I think we can. We can make that happen.
115 00:09:51.710 ⇒ 00:09:55.089 Mustafa Raja: Yeah, I let me share my screen once again.
116 00:09:57.580 ⇒ 00:10:07.139 Casie Aviles: I’m just curious, like, what approach do we use like? Is it still going to be the vector, search? Or will it be a different way of querying.
117 00:10:09.979 ⇒ 00:10:10.799 Mustafa Raja: this?
118 00:10:11.180 ⇒ 00:10:15.350 Mustafa Raja: No, no, it’s not going to be the victor. Search we can. We can do a query. No.
119 00:10:15.730 ⇒ 00:10:16.599 Mustafa Raja: for the.
120 00:10:16.600 ⇒ 00:10:17.070 Casie Aviles: Yeah, yeah.
121 00:10:17.810 ⇒ 00:10:26.929 Mustafa Raja: Yeah, that’s all everything. But I saw that amber amber is just in that we need to. We might need to flatten it. But.
122 00:10:27.751 ⇒ 00:10:35.140 Mustafa Raja: I don’t think the columns at the top are even getting picked up by this.
123 00:10:35.670 ⇒ 00:10:36.460 Casie Aviles: Yeah, it’s.
124 00:10:36.460 ⇒ 00:10:39.649 Mustafa Raja: These columns are not. These columns are not involved at all.
125 00:10:39.650 ⇒ 00:10:40.520 Amber Lin: Hmm.
126 00:10:40.790 ⇒ 00:10:44.490 Mustafa Raja: Wait? Then how do they? How do they know if we.
127 00:10:45.290 ⇒ 00:10:50.299 Amber Lin: Like. If it says Yes, we service residential pests like, how how is that accurate.
128 00:10:50.300 ⇒ 00:10:55.953 Mustafa Raja: It is, it has to either inferring this, and may maybe Casey has,
129 00:10:57.326 ⇒ 00:11:02.790 Mustafa Raja: laid out these in the system prompt which things belong.
130 00:11:03.140 ⇒ 00:11:04.489 Casie Aviles: No, no, I did not.
131 00:11:04.780 ⇒ 00:11:12.570 Mustafa Raja: Yeah, we for these things, we can say, this, this belongs to this, and this. This belongs to this in the
132 00:11:13.010 ⇒ 00:11:15.120 Mustafa Raja: system prompt. So it knows.
133 00:11:20.170 ⇒ 00:11:20.850 Amber Lin: Yeah.
134 00:11:20.850 ⇒ 00:11:21.610 Amber Lin: Hmm.
135 00:11:22.570 ⇒ 00:11:23.539 Mustafa Raja: It’s not that big.
136 00:11:23.540 ⇒ 00:11:32.259 Mustafa Raja: currently, it’s not even looking at these columns we can just put if we want to. I don’t think we have to, because it’s pretty good right now.
137 00:11:32.530 ⇒ 00:11:40.829 Mustafa Raja: if you want to, though, we can just put these, put this there and let it know which column belongs to which thing.
138 00:11:41.180 ⇒ 00:11:54.940 Amber Lin: Yeah, I mean another thing. Yeah, we can also just copy the the text pest and add it in front of bed. Bug, add it in front of commercial pest, and then just, and we can eliminate the row one.
139 00:11:56.150 ⇒ 00:11:57.540 Mustafa Raja: For flattening.
140 00:11:57.620 ⇒ 00:12:03.740 Amber Lin: Oh, I think when we talked to Utam, I think when we talk, we talked about flattening.
141 00:12:04.180 ⇒ 00:12:21.419 Amber Lin: it’s kind of like for zip code, you know that there’s bed bug, commercial pest residential like each of those would be a row with that zip code. And then the spreadsheet would just be very, very, very long, and then if if we flatten it that way, we can put it in super base. But I don’t know if.
142 00:12:21.530 ⇒ 00:12:39.169 Amber Lin: like, I don’t know why we need to flatten it. I think there probably is a reason that it’s easier for super base or for AI to process but I wanted to see what you guys think of if something is taking way too long, does it help if we flatten? Say the inspector, she and
143 00:12:39.890 ⇒ 00:12:43.499 Amber Lin: put it in super base? Or do you think the current approach works.
144 00:12:49.590 ⇒ 00:12:57.979 Mustafa Raja: So my question would be regarding that is, are we going to only ask for one zip code every time.
145 00:13:00.170 ⇒ 00:13:05.540 Amber Lin: I think so, cause the I think the the case is that the customer is only in one zip code.
146 00:13:06.840 ⇒ 00:13:12.149 Mustafa Raja: Yeah, okay, so we don’t. We don’t need to move it to superbase, we can just fetch it.
147 00:13:12.150 ⇒ 00:13:14.860 Mustafa Raja: Oh, okay, filter, give it to them. Yeah.
148 00:13:14.860 ⇒ 00:13:16.549 Amber Lin: Okay, sounds good.
149 00:13:17.480 ⇒ 00:13:18.730 Amber Lin: So.
150 00:13:19.080 ⇒ 00:13:20.130 Mustafa Raja: I guess that’s it.
151 00:13:20.310 ⇒ 00:13:26.940 Amber Lin: Yeah, okay, I’ll just make a I’ll make a ticket to add filtering to Inspector
152 00:13:27.500 ⇒ 00:13:37.279 Amber Lin: Sheet. I don’t think we have it for the skills and zip sheet right? Because the skills and zips are not like by each Zip code is kind of groups of zip codes.
153 00:13:37.900 ⇒ 00:13:38.830 Casie Aviles: Yes.
154 00:13:38.830 ⇒ 00:13:43.590 Amber Lin: Okay? And I, what’s the processing time like for the skills and zip sheet.
155 00:13:45.110 ⇒ 00:13:46.460 Casie Aviles: Oh, I I haven’t really.
156 00:13:46.460 ⇒ 00:13:46.980 Mustafa Raja: This.
157 00:13:47.210 ⇒ 00:13:48.310 Casie Aviles: Checked.
158 00:13:48.900 ⇒ 00:13:49.770 Amber Lin: Oh, yeah.
159 00:13:49.770 ⇒ 00:13:50.820 Casie Aviles: Check, right now.
160 00:13:51.440 ⇒ 00:13:53.260 Amber Lin: It hasn’t the -
161 00:13:53.540 ⇒ 00:13:54.610 Mustafa Raja: Yeah, the technician.
162 00:13:56.174 ⇒ 00:14:05.400 Amber Lin: No, for the technicians, you know, we have inspectors, and then we have technicians. It’s for the other sheet that Casey added a long time ago.
163 00:14:05.960 ⇒ 00:14:06.740 Mustafa Raja: Oh!
164 00:14:09.500 ⇒ 00:14:10.900 Casie Aviles: Let me check.
165 00:14:12.560 ⇒ 00:14:16.469 Mustafa Raja: Yeah. The inspector sheet was taking about a minute and 10 seconds.
166 00:14:16.470 ⇒ 00:14:16.900 Amber Lin: Hmm.
167 00:14:16.900 ⇒ 00:14:18.310 Mustafa Raja: A minute and 10 seconds.
168 00:14:18.310 ⇒ 00:14:19.430 Amber Lin: Yeah.
169 00:14:20.750 ⇒ 00:14:23.349 Mustafa Raja: Yeah, we can fix that with filtering on. I feel
170 00:14:23.720 ⇒ 00:14:26.750 Mustafa Raja: I haven’t tested, tested it, though.
171 00:14:36.270 ⇒ 00:14:39.060 Casie Aviles: Okay. Yeah, I did reply. Something.
172 00:14:43.890 ⇒ 00:14:49.069 Casie Aviles: I’ll have to test a bit more, because you know, sometimes it’s fast, but sometimes
173 00:14:50.285 ⇒ 00:14:53.609 Casie Aviles: it takes a long time. So I want to see, like how many.
174 00:14:53.960 ⇒ 00:14:57.030 Casie Aviles: how often will it go slow? Or you know.
175 00:14:57.030 ⇒ 00:15:20.390 Amber Lin: I see. I see. I don’t think we have complaints about that breaking down. I think we just. We’ll do the inspector sheet first, st and then we’ll we’ll see about the other stuff later. I think, for the remaining of this week we have today and tomorrow I wanted to see how’s the progress on the mechanical versus past, like the routing house progress.
176 00:15:20.390 ⇒ 00:15:23.100 Mustafa Raja: Oh, yeah, I haven’t. I haven’t started it yet.
177 00:15:24.000 ⇒ 00:15:24.839 Amber Lin: Hmm,
178 00:15:25.780 ⇒ 00:15:32.130 Amber Lin: Do you think it’s easier if you guys pair on that? Or is it better that just one person does it.
179 00:15:33.270 ⇒ 00:15:34.919 Casie Aviles: Yeah, don’t mind bearing with Mustafa.
180 00:15:34.920 ⇒ 00:15:36.880 Mustafa Raja: Yeah, yeah, I’m down to pay.
181 00:15:37.190 ⇒ 00:15:44.459 Amber Lin: Okay? Yeah. Cause I’m meeting with them Monday. Do you think that’s enough? Time.
182 00:15:44.460 ⇒ 00:15:45.349 Mustafa Raja: Yeah, yeah.
183 00:15:45.350 ⇒ 00:15:46.730 Amber Lin: Okay, do you wanna.
184 00:15:46.730 ⇒ 00:15:48.000 Mustafa Raja: We can do a Poc right?
185 00:15:49.450 ⇒ 00:15:52.219 Mustafa Raja: We we only need to do a proof of concept right? No.
186 00:15:52.220 ⇒ 00:16:03.600 Amber Lin: Yeah, yeah, just to see, maybe test with our account. Does it work if we route to mechanical? And then it gives mechanical responses. I have the Central Doc ready for you all.
187 00:16:05.170 ⇒ 00:16:09.490 Mustafa Raja: Oh, so the so the central dock has now the mechanical information, too.
188 00:16:10.125 ⇒ 00:16:14.259 Amber Lin: It’s a different document. Hence. Why, we probably need some routing.
189 00:16:14.410 ⇒ 00:16:18.160 Amber Lin: Yeah, I’ve put it in the spike ticket.
190 00:16:18.630 ⇒ 00:16:23.450 Amber Lin: So it’s all also in the sections of the the Central Doc. So
191 00:16:23.690 ⇒ 00:16:33.290 Amber Lin: think you guys would pair on that? I know. Oh, I’m not sharing my screen, I know. Last time we talked we said we also wanted to
192 00:16:33.908 ⇒ 00:16:37.419 Amber Lin: combine the rag approaches for the central dock.
193 00:16:38.100 ⇒ 00:16:38.640 Mustafa Raja: Yeah.
194 00:16:39.050 ⇒ 00:16:41.899 Amber Lin: Maybe you guys can talk about that one as well.
195 00:16:44.970 ⇒ 00:16:54.139 Mustafa Raja: Yeah. So Casey, what we ended up doing was connecting the rag that I developed for the trainer bot.
196 00:16:55.500 ⇒ 00:16:57.758 Mustafa Raja: since it already had the
197 00:16:59.127 ⇒ 00:17:14.619 Mustafa Raja: trigger and it’s now connected with the production Central Dock that we are using. So I just want to know if we, if we feel that we need to bring any changes to that.
198 00:17:15.303 ⇒ 00:17:21.200 Mustafa Raja: To how we are, we are splitting the document and saving it in the vectors.
199 00:17:22.770 ⇒ 00:17:28.609 Casie Aviles: Oh, okay, okay. I think for that one. It’s just that we’re not using
200 00:17:29.290 ⇒ 00:17:34.127 Casie Aviles: like, how how are we chunking the central dock in that approach.
201 00:17:34.500 ⇒ 00:17:44.999 Mustafa Raja: Yeah. So so so what happens is we chunk the central doc, with each heading right?
202 00:17:45.840 ⇒ 00:17:46.290 Casie Aviles: Yeah, that.
203 00:17:46.520 ⇒ 00:17:47.380 Mustafa Raja: That that’s what they did.
204 00:17:47.380 ⇒ 00:17:47.810 Mustafa Raja: It’s.
205 00:17:47.810 ⇒ 00:17:49.450 Casie Aviles: The latest version, yeah.
206 00:17:49.450 ⇒ 00:18:11.140 Mustafa Raja: Yeah, and that gets stored in the super base and then super base in the super base central doc table, not in the vector, table. So when when any row of that table gets updated or created or deleted all these operations trigger, a web hook
207 00:18:11.660 ⇒ 00:18:20.860 Mustafa Raja: in na, 10 that tells whether to delete a vector or update a vector or add a new vector.
208 00:18:22.330 ⇒ 00:18:23.040 Casie Aviles: Okay.
209 00:18:23.490 ⇒ 00:18:26.820 Mustafa Raja: Yeah. So that’s that’s really what what’s happening.
210 00:18:28.570 ⇒ 00:18:28.980 Casie Aviles: I see.
211 00:18:28.980 ⇒ 00:18:29.560 Mustafa Raja: We can.
212 00:18:29.560 ⇒ 00:18:30.489 Casie Aviles: So it’s my heading again.
213 00:18:30.490 ⇒ 00:18:36.069 Mustafa Raja: I can. Yeah, I I can. I can share my screen and explain a little bit more. If if you want
214 00:18:36.720 ⇒ 00:18:37.520 Mustafa Raja: that.
215 00:18:37.520 ⇒ 00:18:41.980 Casie Aviles: Yeah, I I think, yeah, we could go deeper later if you if.
216 00:18:41.980 ⇒ 00:18:42.929 Mustafa Raja: Oh, later. Yeah.
217 00:18:42.930 ⇒ 00:18:47.420 Casie Aviles: We? Yeah, if we need any, if we need to talk a little bit more about the other tickets.
218 00:18:47.420 ⇒ 00:18:54.570 Mustafa Raja: Yeah, yeah, I just, I just want to know your I just want your feedback on it. If we if we are missing missing anything
219 00:18:54.820 ⇒ 00:18:56.160 Mustafa Raja: on that
220 00:18:57.800 ⇒ 00:19:00.409 Casie Aviles: A bit deeper. But yeah, it’s good
221 00:19:00.410 ⇒ 00:19:04.959 Casie Aviles: that we are able to do that like the real time updates, that’s what’s lacking from my
222 00:19:05.190 ⇒ 00:19:08.230 Casie Aviles: my implementation. So we definitely that.
223 00:19:09.610 ⇒ 00:19:10.160 Mustafa Raja: Yeah.
224 00:19:13.560 ⇒ 00:19:15.060 Mustafa Raja: yeah, I guess we can proceed.
225 00:19:15.890 ⇒ 00:19:20.540 Amber Lin: Okay, let’s see.
226 00:19:21.130 ⇒ 00:19:29.450 Amber Lin: okay, so those will be for today. I know you guys will talk about that and then
227 00:19:30.320 ⇒ 00:19:36.880 Amber Lin: think there was something with the inspector sheet. That wasn’t because you remember that we
228 00:19:39.880 ⇒ 00:19:59.100 Amber Lin: like, added everything based on the separate spreadsheets. And did the vlookup. I think some of them may not have registered. So I’ll go. I’ll go and check, I’ll point out, because Denise was like, Oh, this one’s not in there, so I’ll go in and check. I think some of them we didn’t do the
229 00:19:59.370 ⇒ 00:20:02.310 Amber Lin: header match. I think we just did a
230 00:20:03.520 ⇒ 00:20:09.979 Amber Lin: a different type of Matching, but I’ll I’ll go ahead. I’ll check it, and if I need any help I’ll let you know.
231 00:20:11.320 ⇒ 00:20:12.010 Casie Aviles: Okay.
232 00:20:12.730 ⇒ 00:20:22.930 Amber Lin: Yeah, I’m thinking, we suppose we’re supposed to have a grooming today, I think I just wanna
233 00:20:23.620 ⇒ 00:20:48.460 Amber Lin: give you guys an overview on what will be we’ll be focusing on, because right now the main focus is adding mechanical, because the more you more they use it, once they use it more than 2,000 per month. We earn more. So the main focus can be on mechanical. I’m gonna try to get them to add lawn and home improvement, and I think among these is one to set up the routing
234 00:20:48.710 ⇒ 00:20:50.190 Amber Lin: and 2 to.
235 00:20:50.330 ⇒ 00:20:55.499 Amber Lin: Probably we need to do a routing or tagging as well for the feedback sheet.
236 00:20:56.101 ⇒ 00:21:09.600 Amber Lin: We’ll we’ll have to find a way to either separate it from the current one, or make sure that people know that it’s for mechanical, because it’s different people making the updates. So those are the main 2 things on mechanical side.
237 00:21:10.639 ⇒ 00:21:14.100 Amber Lin: And then, I think for
238 00:21:17.680 ⇒ 00:21:20.339 Amber Lin: for this one. I think we have.
239 00:21:21.870 ⇒ 00:21:24.599 Amber Lin: Think we have just no, not that one.
240 00:21:24.760 ⇒ 00:21:32.440 Amber Lin: Then we have this one of the Pest directory, which is also probably pretty straightforward. It’s it’s pretty
241 00:21:32.860 ⇒ 00:21:39.379 Amber Lin: flat rows, and none of the the ones that we’ve seen before with the Inspector sheet, where it’s just
242 00:21:40.040 ⇒ 00:21:44.330 Amber Lin: random cubes of text. So that should be a lot easier.
243 00:21:46.510 ⇒ 00:21:48.569 Amber Lin: I think we don’t need that.
244 00:21:49.700 ⇒ 00:21:56.989 Amber Lin: So okay, knowledge base. And
245 00:22:00.690 ⇒ 00:22:03.040 Amber Lin: I think we don’t.
246 00:22:03.170 ⇒ 00:22:06.279 Amber Lin: Yeah, I think the main focus next sprint would just be
247 00:22:08.490 ⇒ 00:22:14.260 Amber Lin: mechanical, and then adding the one remaining spreadsheet.
248 00:22:14.870 ⇒ 00:22:21.340 Amber Lin: And then, if there’s anything like related to processing speed and stuff, we’ll troubleshoot as they come up.
249 00:22:26.090 ⇒ 00:22:27.180 Amber Lin: That’s all.
250 00:22:27.860 ⇒ 00:22:28.470 Casie Aviles: Okay.
251 00:22:29.370 ⇒ 00:22:30.220 Casie Aviles: Sounds good.
252 00:22:30.380 ⇒ 00:22:31.070 Amber Lin: Okay.
253 00:22:33.590 ⇒ 00:22:34.720 Amber Lin: Alrighty.
254 00:22:35.240 ⇒ 00:22:35.870 Amber Lin: Oh.
255 00:22:35.870 ⇒ 00:22:41.869 Mustafa Raja: Yeah, for the inspector sheet filtering. Let me know the deadline.
256 00:22:42.130 ⇒ 00:22:45.699 Amber Lin: Oh, I see. How long would it take you?
257 00:22:46.980 ⇒ 00:22:48.610 Mustafa Raja: 5 min.
258 00:22:49.430 ⇒ 00:22:53.069 Amber Lin: 5 min. Okay, if it’s if it’s.
259 00:22:53.070 ⇒ 00:22:54.320 Casie Aviles: After. I guess we’ll.
260 00:22:54.320 ⇒ 00:22:54.650 Amber Lin: Okay.
261 00:22:54.650 ⇒ 00:22:56.689 Casie Aviles: After, so that’ll take some more time.
262 00:22:56.920 ⇒ 00:22:57.575 Mustafa Raja: Yeah.
263 00:23:00.991 ⇒ 00:23:19.439 Amber Lin: We’ll say, like end of end of cycle, because they will, they will use it. They will use the instructor sheet more than these. So if you can, just to make make sure that it’s working, and then we’ll test. We’ll like, do the test later on. So maybe this one
264 00:23:20.350 ⇒ 00:23:22.589 Amber Lin: higher priority as well.
265 00:23:23.910 ⇒ 00:23:24.620 Mustafa Raja: Okay.
266 00:23:24.970 ⇒ 00:23:32.620 Amber Lin: Okay, all right, thanks. Guys. Update me in the in the slack.
267 00:23:33.670 ⇒ 00:23:35.260 Mustafa Raja: Yeah, okay.
268 00:23:35.480 ⇒ 00:23:36.130 Amber Lin: Thanks.
269 00:23:36.540 ⇒ 00:23:37.260 Mustafa Raja: My.
270 00:23:37.260 ⇒ 00:23:38.110 Amber Lin: Bye.