feat(jobs): add job listings with AI-powered resume tailoring (#2788)

* feat: add job listings feature with JSearch API integration, resume tailoring, and per-user rate limiting

* feat(jobs): add search filters UI, filter helper functions with tests, and job_search_quota DB migration

* feat(jobs): add pagination with 30 results per page and prev/next navigation

* refactor(job-detail): Adjust sheet width and scroll area height

* feat(ai): Add resume tailoring feature and prompt

* refactor(ai): Revise tailoring prompts and schema for full skill rewrite

* feat(ai): Add reference tailoring and output sanitization

* feat(testing): Add Vitest testing framework

* fix: address PR review - atomic rate limiting, calendar-month quota, skill sync warning, gitignore routeTree.gen.ts

* feat(jobs): Add location filter to job listings

* feat(job-listings): Add DOCX document generation

* feat(job-listings): Enable search by location and on Enter key

* feat(job-listings): Split location filter into city, state, and country

* feat(jobs): Implement job search adapter and JSearch

* Update 'locale/' directory

* feat(resume): Simplify filename generation and add tests

* fix(JSearch): reduce JSearch API usage to 1 request per search to prevent quota exhaustion

* fix(JSearch): Displayed quota amounts on Job Search functionality and settings fixed to pull from RapidAPI/JSearch response

* fix(internal rate limit): Removed internal rate limit and .env.example addition, cloud based implementation handles.

* style(job-filters): Adjust layout of switch filters

* fix(typecheck): Fixed typecheck issues introduced to sync with origin

* feat(jobs): Enhance tailor dialog with apply link and tags

* feat(locale files): updated locale files with the latest build

* feat(jobs): Add job search provider and integrate testing functionality

- Introduced `createJobSearchProvider` function to instantiate a JSearchProvider.
- Enhanced job search provider with methods for searching jobs, retrieving job details, and testing connection.
- Updated `vite.config.ts` to include new testing configurations and plugins.
- Added new dependencies in `package.json` for testing and document generation.
- Removed obsolete `vitest.config.ts` file.
- Improved job search provider tests for better coverage and reliability.

* refactor: Update job search routes and remove obsolete test configurations

- Removed the test configuration from `vite.config.ts`.
- Updated localization files to reflect changes in job search routes, renaming references from `jobs` to `job-search` across multiple languages.
- Adjusted autofix workflow to run formatting without the `--fix` flag for better control over code style adjustments.

* chore: Update dependencies and improve animation performance

- Added `jsdom` as a new dependency in `package.json`.
- Updated `vite-plus` and `vitest` to the latest versions for better compatibility.
- Enhanced animation components with `willChange` styles to optimize rendering performance.
- Adjusted various UI components to improve responsiveness and visual effects.
- Removed obsolete job details functionality from the job search provider and related tests.

* chore(locales): Update localization files for job search improvements

- Modified job search related strings to remove references to "this month" for a more concise format.
- Updated file references in localization entries to reflect changes in the job search component structure.
- Added new strings for API usage, quota remaining, and job fetching error messages across multiple languages.
- Removed obsolete "Monthly Usage" string from localization files.

* chore(dependencies): Update @typescript/native-preview to version 7.0.0-dev.20260319.1

---------

Co-authored-by: Amruth Pillai <im.amruth@gmail.com>
This commit is contained in:
Luka Fagundes
2026-03-19 01:48:02 -07:00
committed by GitHub
parent 56a1838315
commit 3e16586d7a
150 changed files with 28149 additions and 388 deletions
+51 -1
View File
@@ -4,7 +4,9 @@ import { AISDKError, type UIMessage } from "ai";
import { OllamaError } from "ai-sdk-ollama";
import z, { flattenError, ZodError } from "zod";
import type { ResumeData } from "@/schema/resume/data";
import { jobResultSchema } from "@/schema/jobs";
import { type ResumeData, resumeDataSchema } from "@/schema/resume/data";
import { tailorOutputSchema } from "@/schema/tailor";
import { protectedProcedure } from "../context";
import { aiCredentialsSchema, aiProviderSchema, aiService, fileInputSchema } from "../services/ai";
@@ -172,6 +174,54 @@ export const aiRouter = {
throw new ORPCError("BAD_GATEWAY", { message: error.message });
}
throw error;
}
}),
tailorResume: protectedProcedure
.route({
method: "POST",
path: "/ai/tailor-resume",
tags: ["AI"],
operationId: "tailorResume",
summary: "Auto-tailor resume for a job posting",
description:
"Uses AI to automatically tailor a resume for a specific job posting. Rewrites the summary, adjusts experience descriptions, and curates skills for ATS optimization. Returns structured modifications as a simplified output object. Requires authentication and AI credentials.",
successDescription: "Structured tailoring output returned successfully.",
})
.input(
z.object({
...aiCredentialsSchema.shape,
resumeData: resumeDataSchema,
job: jobResultSchema,
}),
)
.output(tailorOutputSchema)
.errors({
BAD_GATEWAY: {
message: "The AI provider returned an error or is unreachable.",
status: 502,
},
BAD_REQUEST: {
message: "The AI returned an improperly formatted structure.",
status: 400,
},
})
.handler(async ({ input }) => {
try {
return await aiService.tailorResume(input);
} catch (error) {
if (error instanceof AISDKError || error instanceof OllamaError) {
throw new ORPCError("BAD_GATEWAY", { message: error.message });
}
if (error instanceof ZodError) {
throw new ORPCError("BAD_REQUEST", {
message: "Invalid resume data structure",
cause: flattenError(error),
});
}
throw error;
}
}),
+4 -2
View File
@@ -1,6 +1,7 @@
import { aiRouter } from "./ai";
import { authRouter } from "./auth";
import { flagsRouter } from "./flags";
import { jobsRouter } from "./jobs";
import { printerRouter } from "./printer";
import { resumeRouter } from "./resume";
import { statisticsRouter } from "./statistics";
@@ -10,8 +11,9 @@ export default {
ai: aiRouter,
auth: authRouter,
flags: flagsRouter,
resume: resumeRouter,
storage: storageRouter,
jobs: jobsRouter,
printer: printerRouter,
resume: resumeRouter,
statistics: statisticsRouter,
storage: storageRouter,
};
+79
View File
@@ -0,0 +1,79 @@
import { ORPCError } from "@orpc/client";
import z from "zod";
import { postFilterOptionsSchema, searchParamsSchema } from "@/schema/jobs";
import { protectedProcedure } from "../context";
import { jobsService } from "../services/jobs";
export const jobsRouter = {
testConnection: protectedProcedure
.route({
method: "POST",
path: "/jobs/test-connection",
tags: ["Jobs"],
operationId: "testJobsConnection",
summary: "Test RapidAPI JSearch connection",
description:
"Validates the RapidAPI key by performing a minimal test search against the JSearch API. Requires authentication.",
successDescription: "The RapidAPI key is valid and JSearch is reachable.",
})
.input(z.object({ apiKey: z.string().min(1) }))
.errors({
BAD_GATEWAY: {
message: "The JSearch API returned an error or is unreachable.",
status: 502,
},
})
.handler(async ({ input }) => {
try {
return await jobsService.testConnection(input.apiKey);
} catch (error) {
throw new ORPCError("BAD_GATEWAY", {
message: error instanceof Error ? error.message : "Connection test failed",
});
}
}),
search: protectedProcedure
.route({
method: "POST",
path: "/jobs/search",
tags: ["Jobs"],
operationId: "searchJobs",
summary: "Search for job listings",
description:
"Searches the JSearch API for job listings matching the given parameters. Results are deduplicated and optionally filtered. Requires authentication.",
successDescription: "Job search results returned successfully.",
})
.input(
z.object({
apiKey: z.string().min(1),
params: searchParamsSchema,
filters: postFilterOptionsSchema.optional(),
}),
)
.errors({
BAD_GATEWAY: {
message: "The JSearch API returned an error or is unreachable.",
status: 502,
},
})
.handler(async ({ input }) => {
try {
const response = await jobsService.search(input.apiKey, input.params);
let jobs = jobsService.deduplicateJobs(response.data);
if (input.filters) {
jobs = jobsService.applyPostFilters(jobs, input.filters);
}
return { data: jobs, rapidApiQuota: response.rapidApiQuota };
} catch (error) {
throw new ORPCError("BAD_GATEWAY", {
message: error instanceof Error ? error.message : "Search failed",
});
}
}),
};