[offers][chore] Save the generate offer profile analysis into db

pull/380/head
BryannYeap 3 years ago
parent 490d11e249
commit c12c318a0b

@ -0,0 +1,3 @@
-- AlterTable
ALTER TABLE "OffersAnalysis" ALTER COLUMN "overallPercentile" SET DATA TYPE DOUBLE PRECISION,
ALTER COLUMN "companyPercentile" SET DATA TYPE DOUBLE PRECISION;

@ -365,12 +365,12 @@ model OffersAnalysis {
offerId String @unique
// OVERALL
overallPercentile Int
overallPercentile Float
noOfSimilarOffers Int
topOverallOffers OffersOffer[] @relation("TopOverallOffers")
// Company
companyPercentile Int
companyPercentile Float
noOfSimilarCompanyOffers Int
topCompanyOffers OffersOffer[] @relation("TopCompanyOffers")
}

@ -102,7 +102,7 @@ function Test() {
],
experiences: [
{
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
durationInMonths: 24,
jobType: 'FULLTIME',
level: 'Junior',
@ -151,7 +151,7 @@ function Test() {
},
},
// Comments: '',
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
jobType: 'FULLTIME',
location: 'Singapore, Singapore',
monthYearReceived: new Date('2022-09-30T07:58:54.000Z'),
@ -180,7 +180,7 @@ function Test() {
},
},
comments: undefined,
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
jobType: 'FULLTIME',
location: 'Singapore, Singapore',
monthYearReceived: new Date('2022-09-30T07:58:54.000Z'),
@ -261,7 +261,7 @@ function Test() {
slug: 'meta',
updatedAt: new Date('2022-10-12T16:19:05.196Z'),
},
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
durationInMonths: 24,
id: 'cl96stky6002iw32gpt6t87s2',
jobType: 'FULLTIME',
@ -368,7 +368,7 @@ function Test() {
slug: 'meta',
updatedAt: new Date('2022-10-12T16:19:05.196Z'),
},
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
id: 'cl976t4de00047iygl0zbce11',
jobType: 'FULLTIME',
location: 'Singapore, Singapore',
@ -421,7 +421,7 @@ function Test() {
slug: 'meta',
updatedAt: new Date('2022-10-12T16:19:05.196Z'),
},
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
id: 'cl96stky80031w32gau9mu1gs',
jobType: 'FULLTIME',
location: 'Singapore, Singapore',
@ -474,7 +474,7 @@ function Test() {
slug: 'meta',
updatedAt: new Date('2022-10-12T16:19:05.196Z'),
},
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
id: 'cl96stky9003bw32gc3l955vr',
jobType: 'FULLTIME',
location: 'Singapore, Singapore',
@ -527,7 +527,7 @@ function Test() {
slug: 'meta',
updatedAt: new Date('2022-10-12T16:19:05.196Z'),
},
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
id: 'cl976wf28000t7iyga4noyz7s',
jobType: 'FULLTIME',
location: 'Singapore, Singapore',
@ -580,7 +580,7 @@ function Test() {
slug: 'meta',
updatedAt: new Date('2022-10-12T16:19:05.196Z'),
},
companyId: 'cl95u79f000007im531ysjg79',
companyId: 'cl98yuqk80007txhgjtjp8fk4',
id: 'cl96tbb3o0051w32gjrpaiiit',
jobType: 'FULLTIME',
location: 'Singapore, Singapore',

@ -5,7 +5,7 @@ import { trpc } from '~/utils/trpc';
function profileAnalysis() {
const analysis = trpc.useQuery([
'offers.analysis.generate',
{ profileId: 'cl96stky5002ew32gx2kale2x' },
{ profileId: 'cl98yxuei002htx1s8lrmwzmy' },
]);
return <div>{JSON.stringify(analysis.data)}</div>;

@ -8,6 +8,7 @@ import type {
OffersOffer,
OffersProfile,
} from '@prisma/client';
import { JobType } from '@prisma/client';
import { TRPCError } from '@trpc/server';
import { createRouter } from '../context';
@ -31,14 +32,32 @@ const binarySearchOfferPercentile = (
let start = 0;
let end = similarOffers.length - 1;
const salary =
offer.jobType === JobType.FULLTIME
? offer.OffersFullTime?.totalCompensation.value
: offer.OffersIntern?.monthlySalary.value;
if (!salary) {
throw new TRPCError({
code: 'BAD_REQUEST',
message: 'Cannot analyse without salary',
});
}
while (start <= end) {
const mid = Math.floor((start + end) / 2);
if (similarOffers[mid].id === offer.id) {
const similarOffer = similarOffers[mid];
const similarSalary =
similarOffer.jobType === JobType.FULLTIME
? similarOffer.OffersFullTime?.totalCompensation.value
: similarOffer.OffersIntern?.monthlySalary.value;
if (similarSalary === salary) {
return mid;
}
if (offer.id < similarOffers[mid].id) {
if (salary < similarSalary) {
end = mid - 1;
} else {
start = mid + 1;
@ -199,30 +218,29 @@ export const offersAnalysisRouter = createRouter().query('generate', {
});
let similarCompanyOffers = similarOffers.filter(
(offer) => offer.companyId === overallHighestOffer.companyId,
(offer: { companyId: string }) =>
offer.companyId === overallHighestOffer.companyId,
);
// CALCULATE PERCENTILES
const highestOfferAgainstOverallIndex = binarySearchOfferPercentile(
const overallIndex = binarySearchOfferPercentile(
overallHighestOffer,
similarOffers,
);
const highestOfferAgainstOverallPercentile =
highestOfferAgainstOverallIndex / similarOffers.length;
const overallPercentile = overallIndex / similarOffers.length;
const highestOfferAgainstCompanyIndex = binarySearchOfferPercentile(
const companyIndex = binarySearchOfferPercentile(
overallHighestOffer,
similarCompanyOffers,
);
const highestOfferAgainstCompanyPercentile =
highestOfferAgainstCompanyIndex / similarCompanyOffers.length;
const companyPercentile = companyIndex / similarCompanyOffers.length;
// FIND TOP >=90 PERCENTILE OFFERS
similarOffers = similarOffers.filter(
(offer) => offer.id !== overallHighestOffer.id,
(offer: { id: string }) => offer.id !== overallHighestOffer.id,
);
similarCompanyOffers = similarCompanyOffers.filter(
(offer) => offer.id !== overallHighestOffer.id,
(offer: { id: string }) => offer.id !== overallHighestOffer.id,
);
const noOfSimilarOffers = similarOffers.length;
@ -247,18 +265,113 @@ export const offersAnalysisRouter = createRouter().query('generate', {
)
: similarCompanyOffers;
return {
company: {
highestOfferAgainstCompanyPercentile,
const analysis = await ctx.prisma.offersAnalysis.create({
data: {
companyPercentile,
noOfSimilarCompanyOffers,
topPercentileCompanyOffers,
},
overall: {
highestOfferAgainstOverallPercentile,
noOfSimilarOffers,
topPercentileOffers,
overallHighestOffer: {
connect: {
id: overallHighestOffer.id,
},
},
overallPercentile,
profile: {
connect: {
id: input.profileId,
},
},
topCompanyOffers: {
connect: topPercentileCompanyOffers.map((offer) => {
return { id: offer.id };
}),
},
topOverallOffers: {
connect: topPercentileOffers.map((offer) => {
return { id: offer.id };
}),
},
},
overallHighestOffer,
};
include: {
overallHighestOffer: {
include: {
OffersFullTime: {
include: {
totalCompensation: true,
},
},
OffersIntern: {
include: {
monthlySalary: true,
},
},
company: true,
profile: {
include: {
background: true,
},
},
},
},
topCompanyOffers: {
include: {
OffersFullTime: {
include: {
totalCompensation: true,
},
},
OffersIntern: {
include: {
monthlySalary: true,
},
},
company: true,
profile: {
include: {
background: {
include: {
experiences: {
include: {
company: true,
},
},
},
},
},
},
},
},
topOverallOffers: {
include: {
OffersFullTime: {
include: {
totalCompensation: true,
},
},
OffersIntern: {
include: {
monthlySalary: true,
},
},
company: true,
profile: {
include: {
background: {
include: {
experiences: {
include: {
company: true,
},
},
},
},
},
},
},
},
},
});
return analysis;
},
});

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