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init(app): Setup client package for web api specific logic

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Prad Nukala
2026-07-02 17:33:29 -04:00
parent f56116a26b
commit bcfeea93c9
27 changed files with 3104 additions and 0 deletions
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app/.gitignore
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node_modules/
dist/
.wrangler/
.dev.vars
seed.generated.sql
worker-configuration.d.ts
app/bun.lock
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"sharp/semver": ["semver@7.8.5", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-Y7/KDsb8LjooZpwaqGyulO6DQlksgCncchHGk+sZIY4SBvUocMBEFH5Ur1fI4dV+Jvl0w6cjvucaIi40puRioA=="],
}
}
app/client/App.tsx
+50
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import { useCallback, useState } from "react";
import type { ChatMessage, JobExtract, ResumePlan } from "../shared/types";
import { Home } from "./screens/Home";
import { PdfScreen } from "./screens/Pdf";
import { Workspace } from "./screens/Workspace";
export interface GeneratedResume {
plan: ResumePlan;
source: "ai" | "fallback";
note?: string;
latex: string;
pdfUrl: string;
}
type Stage =
| { name: "home" }
| { name: "workspace"; jd: JobExtract }
| { name: "pdf"; jd: JobExtract; result: GeneratedResume };
export function App() {
const [stage, setStage] = useState<Stage>({ name: "home" });
const [chat, setChat] = useState<ChatMessage[]>([]);
const openWorkspace = useCallback((jd: JobExtract) => {
setChat([]);
setStage({ name: "workspace", jd });
}, []);
if (stage.name === "home") return <Home onExtracted={openWorkspace} />;
if (stage.name === "workspace") {
return (
<Workspace
jd={stage.jd}
messages={chat}
onMessagesChange={setChat}
onBack={() => setStage({ name: "home" })}
onGenerated={(result) => setStage({ name: "pdf", jd: stage.jd, result })}
/>
);
}
return (
<PdfScreen
result={stage.result}
onBack={() => setStage({ name: "workspace", jd: stage.jd })}
onRecompiled={(result) => setStage({ name: "pdf", jd: stage.jd, result })}
/>
);
}
app/client/api.ts
+57
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export class ApiRequestError extends Error {
readonly log?: string;
constructor(message: string, log?: string) {
super(message);
this.name = "ApiRequestError";
this.log = log;
}
}
async function errorOf(res: Response, fallback: string): Promise<ApiRequestError> {
let message = fallback;
let log: string | undefined;
try {
const data: unknown = await res.json();
if (data && typeof data === "object") {
if ("error" in data && typeof data.error === "string") message = data.error;
if ("log" in data && typeof data.log === "string") log = data.log;
}
} catch {
/* non-JSON error body */
}
return new ApiRequestError(message, log);
}
export async function post<T>(path: string, body: unknown): Promise<T> {
const res = await fetch(path, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
});
if (!res.ok) throw await errorOf(res, `${path} failed (${res.status})`);
return res.json() as Promise<T>;
}
/**
* Compile LaTeX to a PDF blob.
* Dev: the Vite middleware at /local/compile runs the machine's real pdflatex.
* Deployed: that route 404s and we fall back to the Worker's remote compile proxy.
*/
export async function compilePdf(latex: string): Promise<Blob> {
const local = await fetch("/local/compile", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ latex }),
});
if (local.ok) return local.blob();
if (local.status === 422) throw await errorOf(local, "pdflatex failed");
const remote = await fetch("/api/pdf", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ latex }),
});
if (remote.ok) return remote.blob();
throw await errorOf(remote, `PDF compile failed (${remote.status})`);
}
app/client/main.tsx
+7
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import { createRoot } from "react-dom/client";
import { App } from "./App";
import "./styles.css";
const rootEl = document.getElementById("root");
if (!rootEl) throw new Error("missing #root element");
createRoot(rootEl).render(<App />);
app/client/screens/Home.tsx
+125
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import { useState } from "react";
import type { JobExtract } from "../../shared/types";
import { ApiRequestError, post } from "../api";
const MIN_TEXT_CHARS = 120;
export function Home({ onExtracted }: { onExtracted: (jd: JobExtract) => void }) {
const [mode, setMode] = useState<"url" | "paste">("url");
const [url, setUrl] = useState("");
const [title, setTitle] = useState("");
const [text, setText] = useState("");
const [busy, setBusy] = useState(false);
const [error, setError] = useState("");
async function submitUrl(): Promise<void> {
if (busy || url.trim().length === 0) return;
setBusy(true);
setError("");
try {
onExtracted(await post<JobExtract>("/api/extract", { url }));
} catch (err) {
setError(err instanceof ApiRequestError ? err.message : String(err));
setBusy(false);
}
}
function submitPaste(): void {
const trimmedTitle = title.trim();
const trimmedText = text.trim();
if (trimmedTitle.length === 0) {
setError("Give the job opportunity a title.");
return;
}
if (trimmedText.length < MIN_TEXT_CHARS) {
setError(`Paste the full job description (at least ${MIN_TEXT_CHARS} characters).`);
return;
}
onExtracted({ url: "", title: trimmedTitle, text: trimmedText, source: "manual" });
}
function switchMode(next: "url" | "paste"): void {
setMode(next);
setError("");
}
return (
<div className="home">
<div className="home-card">
<h1>CV Tailor</h1>
<p className="sub">
{mode === "url"
? "Paste a link to a job posting. The résumé corpus is matched against it, you refine the selection with an AI agent, and a one-page LaTeX résumé is compiled to PDF."
: "Paste the job description below. The résumé corpus is matched against it, you refine the selection with an AI agent, and a one-page LaTeX résumé is compiled to PDF."}
</p>
{mode === "url" ? (
<form
className="home-form"
onSubmit={(e) => {
e.preventDefault();
void submitUrl();
}}
>
<input
type="url"
value={url}
onChange={(e) => setUrl(e.target.value)}
placeholder="https://boards.greenhouse.io/company/jobs/123456"
autoFocus
required
/>
<button type="submit" className="btn primary" disabled={busy}>
{busy ? "Extracting…" : "Tailor Résumé"}
</button>
</form>
) : (
<form
className="paste-form"
onSubmit={(e) => {
e.preventDefault();
submitPaste();
}}
>
<input
type="text"
value={title}
onChange={(e) => setTitle(e.target.value)}
placeholder="Job opportunity title, e.g. Senior Platform Engineer at Aptos"
autoFocus
required
/>
<textarea
value={text}
onChange={(e) => setText(e.target.value)}
placeholder="Paste the full job description here…"
rows={12}
required
/>
<button type="submit" className="btn primary">
Tailor Résumé
</button>
</form>
)}
{error && <div className="error">{error}</div>}
{mode === "url" ? (
<>
<p className="hint">
Server-rendered boards (Greenhouse, Lever, Workable, Ashby job-post pages) extract
best.
</p>
<button type="button" className="link" onClick={() => switchMode("paste")}>
Or manually paste job description
</button>
</>
) : (
<button type="button" className="link" onClick={() => switchMode("url")}>
Or extract from a job posting URL
</button>
)}
</div>
</div>
);
}
app/client/screens/Pdf.tsx
+79
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import { useState } from "react";
import type { GeneratedResume } from "../App";
import { ApiRequestError, compilePdf } from "../api";
interface PdfScreenProps {
result: GeneratedResume;
onBack: () => void;
onRecompiled: (result: GeneratedResume) => void;
}
export function PdfScreen({ result, onBack, onRecompiled }: PdfScreenProps) {
const [latex, setLatex] = useState(result.latex);
const [busy, setBusy] = useState(false);
const [error, setError] = useState("");
const dirty = latex !== result.latex;
async function recompile(): Promise<void> {
if (busy) return;
setBusy(true);
setError("");
try {
const blob = await compilePdf(latex);
URL.revokeObjectURL(result.pdfUrl);
onRecompiled({ ...result, latex, pdfUrl: URL.createObjectURL(blob) });
} catch (err) {
if (err instanceof ApiRequestError && err.log) {
setError(`${err.message}\n\n${err.log}`);
} else {
setError(err instanceof Error ? err.message : String(err));
}
} finally {
setBusy(false);
}
}
return (
<div className="pdf-screen">
<header className="topbar">
<button type="button" className="btn ghost" onClick={onBack}>
← Back to workspace
</button>
<div className="topbar-title">
<strong>Tailored résumé</strong>
<span className="muted">
plan source: {result.source}
{result.note ? ` (${result.note})` : ""}
</span>
</div>
<div className="topbar-actions">
<button type="button" className="btn" onClick={() => void recompile()} disabled={busy || !dirty}>
{busy ? "Compiling…" : "Recompile"}
</button>
<a className="btn primary" href={result.pdfUrl} download="prad-nukala-resume.pdf">
Download PDF
</a>
</div>
</header>
{error && <pre className="error banner">{error}</pre>}
<div className="pdf-grid">
<section className="panel">
<h2>LaTeX source {dirty && <span className="muted">(edited — recompile to refresh preview)</span>}</h2>
<textarea
className="latex-editor"
value={latex}
onChange={(e) => setLatex(e.target.value)}
spellCheck={false}
/>
</section>
<section className="panel">
<h2>Preview</h2>
<iframe className="preview-frame" title="PDF preview" src={result.pdfUrl} />
</section>
</div>
</div>
);
}
app/client/screens/Workspace.tsx
+198
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import { useEffect, useRef, useState } from "react";
import type { ChatMessage, JobExtract, MatchResult, PlanResponse } from "../../shared/types";
import type { GeneratedResume } from "../App";
import { ApiRequestError, compilePdf, post } from "../api";
interface WorkspaceProps {
jd: JobExtract;
messages: ChatMessage[];
onMessagesChange: (messages: ChatMessage[]) => void;
onBack: () => void;
onGenerated: (result: GeneratedResume) => void;
}
export function Workspace({ jd, messages, onMessagesChange, onBack, onGenerated }: WorkspaceProps) {
const [match, setMatch] = useState<MatchResult | null>(null);
const [matchError, setMatchError] = useState("");
const [draft, setDraft] = useState("");
const [chatBusy, setChatBusy] = useState(false);
const [genStep, setGenStep] = useState("");
const [genError, setGenError] = useState("");
const chatEndRef = useRef<HTMLDivElement | null>(null);
useEffect(() => {
let cancelled = false;
post<MatchResult>("/api/match", { text: jd.text })
.then((m) => {
if (!cancelled) setMatch(m);
})
.catch((err: unknown) => {
if (!cancelled) setMatchError(err instanceof Error ? err.message : String(err));
});
return () => {
cancelled = true;
};
}, [jd.text]);
useEffect(() => {
chatEndRef.current?.scrollIntoView({ behavior: "smooth" });
}, [messages, chatBusy]);
async function sendChat(): Promise<void> {
const content = draft.trim();
if (content.length === 0 || chatBusy || !match) return;
const next: ChatMessage[] = [...messages, { role: "user", content }];
onMessagesChange(next);
setDraft("");
setChatBusy(true);
try {
const { reply } = await post<{ reply: string }>("/api/chat", { jd, match, messages: next });
onMessagesChange([...next, { role: "assistant", content: reply }]);
} catch (err) {
const message = err instanceof Error ? err.message : String(err);
onMessagesChange([...next, { role: "assistant", content: `(error) ${message}` }]);
} finally {
setChatBusy(false);
}
}
async function generate(): Promise<void> {
if (!match || genStep) return;
setGenError("");
try {
setGenStep("Planning selection with AI…");
const planRes = await post<PlanResponse>("/api/plan", { jd, match, chat: messages });
setGenStep("Rendering LaTeX…");
const { latex } = await post<{ latex: string }>("/api/latex", { plan: planRes.plan });
setGenStep("Compiling PDF…");
const blob = await compilePdf(latex);
onGenerated({
plan: planRes.plan,
source: planRes.source,
note: planRes.note,
latex,
pdfUrl: URL.createObjectURL(blob),
});
} catch (err) {
if (err instanceof ApiRequestError && err.log) {
setGenError(`${err.message}\n\n${err.log}`);
} else {
setGenError(err instanceof Error ? err.message : String(err));
}
setGenStep("");
}
}
const matchedItems = match?.items.filter((i) => i.score > 0) ?? [];
return (
<div className="workspace">
<header className="topbar">
<button type="button" className="btn ghost" onClick={onBack}>
← New posting
</button>
<div className="topbar-title">
<strong>{jd.title}</strong>
<span className="muted">
{jd.source === "manual" ? "pasted manually" : `${jd.url} · extracted via ${jd.source}`}
</span>
</div>
<button type="button" className="btn primary" onClick={() => void generate()} disabled={!match || genStep !== ""}>
{genStep !== "" ? genStep : "Generate PDF"}
</button>
</header>
{genError && <pre className="error banner">{genError}</pre>}
<div className="workspace-grid">
<section className="panel">
<h2>Job Posting</h2>
<pre className="jd-text">{jd.text}</pre>
</section>
<section className="panel">
<h2>
Matched Material
{match && <span className="muted"> — {match.skills.length} skills hit</span>}
</h2>
{matchError && <div className="error">{matchError}</div>}
{!match && !matchError && <div className="loading">Matching against the corpus…</div>}
{match && (
<>
<div className="chips">
{match.skills.map((s) => (
<span key={s.name} className={`chip ${s.category}`} title={s.category}>
{s.name} <em>×{s.hits}</em>
</span>
))}
{match.skills.length === 0 && <span className="muted">No skill overlap found.</span>}
</div>
<div className="items">
{matchedItems.map((item) => (
<article key={`${item.type}:${item.slug}`} className="item-card">
<header>
<span className={`badge ${item.type}`}>{item.type}</span>
<strong>{item.title}</strong>
<span className="muted">
{item.company ? `${item.company} · ` : ""}
{item.dates} · score {item.score}
</span>
</header>
<div className="mini-chips">
{item.matchedSkills.map((s) => (
<span key={s} className="chip mini">
{s}
</span>
))}
</div>
<ul>
{item.bullets.slice(0, 3).map((b) => (
<li key={b.slice(0, 40)}>{b}</li>
))}
</ul>
</article>
))}
</div>
</>
)}
</section>
</div>
<section className="chat panel">
<h2>Refine with the agent</h2>
<div className="chat-log">
{messages.length === 0 && (
<div className="muted chat-empty">
Ask the agent to emphasize certain skills, pick different projects, or adjust the
headline — the conversation is folded into the plan when you hit Generate.
</div>
)}
{messages.map((m, i) => (
<div key={`${i}-${m.content.slice(0, 20)}`} className={`msg ${m.role}`}>
{m.content}
</div>
))}
{chatBusy && <div className="msg assistant pending">…</div>}
<div ref={chatEndRef} />
</div>
<form
className="chat-form"
onSubmit={(e) => {
e.preventDefault();
void sendChat();
}}
>
<input
value={draft}
onChange={(e) => setDraft(e.target.value)}
placeholder={match ? "e.g. Lead with the cryptography work, skip consumer apps" : "Waiting for match…"}
disabled={!match}
/>
<button type="submit" className="btn" disabled={!match || chatBusy || draft.trim().length === 0}>
Send
</button>
</form>
</section>
</div>
);
}
app/client/styles.css
+492
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@@ -0,0 +1,492 @@
:root {
color-scheme: dark;
--bg: #0d1117;
--panel: #161b22;
--panel-2: #1c2129;
--border: #2d333b;
--text: #e6edf3;
--muted: #8b949e;
--accent: #4493f8;
--accent-dim: #1f6feb;
--danger: #f85149;
--ok: #3fb950;
}
* {
box-sizing: border-box;
}
html,
body,
#root {
height: 100%;
}
body {
margin: 0;
background: var(--bg);
color: var(--text);
font: 15px/1.5 -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Noto Sans", sans-serif;
}
h1,
h2 {
margin: 0;
}
h2 {
font-size: 13px;
text-transform: uppercase;
letter-spacing: 0.08em;
color: var(--muted);
padding-bottom: 8px;
border-bottom: 1px solid var(--border);
margin-bottom: 10px;
}
.muted {
color: var(--muted);
font-weight: 400;
font-size: 12px;
}
.error {
color: var(--danger);
background: rgba(248, 81, 73, 0.08);
border: 1px solid rgba(248, 81, 73, 0.4);
border-radius: 6px;
padding: 8px 12px;
margin-top: 10px;
white-space: pre-wrap;
font-size: 13px;
}
.error.banner {
margin: 0 16px 12px;
max-height: 180px;
overflow: auto;
}
/* ---------- buttons ---------- */
.btn {
appearance: none;
border: 1px solid var(--border);
background: var(--panel-2);
color: var(--text);
border-radius: 6px;
padding: 8px 14px;
font-size: 14px;
font-weight: 600;
cursor: pointer;
text-decoration: none;
display: inline-flex;
align-items: center;
gap: 6px;
white-space: nowrap;
}
.btn:hover:not(:disabled) {
border-color: var(--muted);
}
.btn:disabled {
opacity: 0.55;
cursor: default;
}
.btn.primary {
background: var(--accent-dim);
border-color: var(--accent-dim);
}
.btn.primary:hover:not(:disabled) {
background: var(--accent);
border-color: var(--accent);
}
.btn.ghost {
background: transparent;
}
/* ---------- home ---------- */
.home {
height: 100%;
display: flex;
align-items: center;
justify-content: center;
padding: 24px;
}
.home-card {
width: min(640px, 100%);
background: var(--panel);
border: 1px solid var(--border);
border-radius: 12px;
padding: 40px;
}
.home-card h1 {
font-size: 32px;
margin-bottom: 8px;
}
.home-card .sub {
color: var(--muted);
margin: 0 0 24px;
}
.home-form {
display: flex;
gap: 10px;
}
.home-form input {
flex: 1;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 10px 12px;
font-size: 14px;
}
.home-form input:focus {
outline: none;
border-color: var(--accent);
}
.paste-form {
display: flex;
flex-direction: column;
gap: 10px;
}
.paste-form input,
.paste-form textarea {
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 10px 12px;
font-size: 14px;
}
.paste-form textarea {
resize: vertical;
min-height: 160px;
font: 13px/1.5 inherit;
}
.paste-form input:focus,
.paste-form textarea:focus {
outline: none;
border-color: var(--accent);
}
.paste-form .btn {
align-self: flex-end;
}
.link {
appearance: none;
background: none;
border: none;
padding: 0;
margin: 12px 0 0;
color: var(--accent);
font-size: 13px;
cursor: pointer;
text-decoration: underline;
text-underline-offset: 3px;
}
.link:hover {
color: var(--text);
}
.hint {
color: var(--muted);
font-size: 12px;
margin: 16px 0 0;
}
/* ---------- shared layout ---------- */
.workspace,
.pdf-screen {
height: 100%;
display: flex;
flex-direction: column;
min-height: 0;
}
.topbar {
display: flex;
align-items: center;
gap: 16px;
padding: 12px 16px;
border-bottom: 1px solid var(--border);
background: var(--panel);
}
.topbar-title {
flex: 1;
display: flex;
flex-direction: column;
min-width: 0;
}
.topbar-title strong {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.topbar-title .muted {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.topbar-actions {
display: flex;
gap: 8px;
}
.panel {
background: var(--panel);
border: 1px solid var(--border);
border-radius: 10px;
padding: 14px;
display: flex;
flex-direction: column;
min-height: 0;
}
/* ---------- workspace ---------- */
.workspace-grid {
flex: 1;
display: grid;
grid-template-columns: 1fr 1fr;
gap: 12px;
padding: 12px 16px;
min-height: 0;
}
.jd-text {
flex: 1;
overflow: auto;
white-space: pre-wrap;
font: 13px/1.55 inherit;
margin: 0;
color: var(--text);
}
.loading {
color: var(--muted);
padding: 20px 0;
}
.chips {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-bottom: 12px;
}
.chip {
background: var(--panel-2);
border: 1px solid var(--border);
border-radius: 999px;
padding: 2px 10px;
font-size: 12px;
}
.chip em {
color: var(--muted);
font-style: normal;
}
.chip.language {
border-color: #3fb95066;
}
.chip.framework {
border-color: #4493f866;
}
.chip.methodology {
border-color: #d2a8ff66;
}
.chip.domain {
border-color: #f0883e66;
}
.chip.mini {
padding: 1px 8px;
font-size: 11px;
}
.items {
flex: 1;
overflow: auto;
display: flex;
flex-direction: column;
gap: 10px;
}
.item-card {
background: var(--panel-2);
border: 1px solid var(--border);
border-radius: 8px;
padding: 10px 12px;
}
.item-card header {
display: flex;
align-items: baseline;
gap: 8px;
flex-wrap: wrap;
}
.item-card ul {
margin: 8px 0 0;
padding-left: 18px;
color: var(--muted);
font-size: 12.5px;
}
.item-card li {
margin-bottom: 4px;
}
.mini-chips {
display: flex;
flex-wrap: wrap;
gap: 4px;
margin-top: 6px;
}
.badge {
font-size: 10px;
text-transform: uppercase;
letter-spacing: 0.06em;
border-radius: 4px;
padding: 1px 6px;
font-weight: 700;
}
.badge.experience {
background: #1f6feb33;
color: var(--accent);
}
.badge.project {
background: #3fb95033;
color: var(--ok);
}
/* ---------- chat ---------- */
.chat {
margin: 0 16px 16px;
height: 240px;
flex-shrink: 0;
}
.chat-log {
flex: 1;
overflow: auto;
display: flex;
flex-direction: column;
gap: 8px;
padding-right: 4px;
}
.chat-empty {
padding: 8px 0;
}
.msg {
max-width: 72%;
padding: 8px 12px;
border-radius: 10px;
font-size: 13.5px;
white-space: pre-wrap;
}
.msg.user {
align-self: flex-end;
background: var(--accent-dim);
}
.msg.assistant {
align-self: flex-start;
background: var(--panel-2);
border: 1px solid var(--border);
}
.msg.pending {
color: var(--muted);
}
.chat-form {
display: flex;
gap: 8px;
margin-top: 10px;
}
.chat-form input {
flex: 1;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 8px 12px;
font-size: 14px;
}
.chat-form input:focus {
outline: none;
border-color: var(--accent);
}
/* ---------- pdf screen ---------- */
.pdf-grid {
flex: 1;
display: grid;
grid-template-columns: 1fr 1fr;
gap: 12px;
padding: 12px 16px;
min-height: 0;
}
.latex-editor {
flex: 1;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
font: 12px/1.5 ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
padding: 10px;
resize: none;
white-space: pre;
}
.latex-editor:focus {
outline: none;
border-color: var(--accent);
}
.preview-frame {
flex: 1;
border: 1px solid var(--border);
border-radius: 6px;
background: #525659;
width: 100%;
}
app/index.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>CV Tailor</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/client/main.tsx"></script>
</body>
</html>
app/migrations/0001_init.sql
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-- CV corpus schema: mirrors the YAML shapes under ../docs.
CREATE TABLE profile (
id INTEGER PRIMARY KEY,
full_name TEXT NOT NULL,
email TEXT,
phone TEXT,
website TEXT,
linkedin TEXT,
github TEXT,
twitter TEXT
);
CREATE TABLE summaries (
id INTEGER PRIMARY KEY AUTOINCREMENT,
role TEXT NOT NULL,
summary TEXT NOT NULL
);
CREATE TABLE experience (
slug TEXT PRIMARY KEY,
title TEXT NOT NULL,
company TEXT NOT NULL,
start_date TEXT NOT NULL,
end_date TEXT,
location TEXT,
profile_heading TEXT
);
CREATE TABLE projects (
slug TEXT PRIMARY KEY,
title TEXT NOT NULL,
start_date TEXT,
end_date TEXT,
url TEXT,
-- slug of the experience (or 'education') this project belongs to
associated_with TEXT
);
-- One row per "- " bullet from the YAML description block scalars.
CREATE TABLE bullets (
id INTEGER PRIMARY KEY AUTOINCREMENT,
parent_type TEXT NOT NULL CHECK (parent_type IN ('experience', 'project')),
parent_slug TEXT NOT NULL,
position INTEGER NOT NULL,
text TEXT NOT NULL
);
CREATE INDEX idx_bullets_parent ON bullets (parent_type, parent_slug);
-- Canonical skill names attached to experience/project/education entries.
CREATE TABLE item_skills (
parent_type TEXT NOT NULL CHECK (parent_type IN ('experience', 'project', 'education')),
parent_slug TEXT NOT NULL,
skill TEXT NOT NULL
);
CREATE INDEX idx_item_skills_skill ON item_skills (skill);
-- The skill inventory (docs/skills/*): languages carry a tier,
-- frameworks carry a group parsed from the YAML comment headers.
CREATE TABLE skills (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
category TEXT NOT NULL CHECK (category IN ('language', 'framework', 'methodology')),
grp TEXT,
tier TEXT,
position INTEGER NOT NULL
);
CREATE TABLE education (
id INTEGER PRIMARY KEY,
school TEXT NOT NULL,
degree TEXT,
field TEXT,
start_date TEXT,
end_date TEXT,
activities TEXT
);
CREATE TABLE honors (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title TEXT NOT NULL,
date TEXT,
institution TEXT
);
CREATE TABLE organizations (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
url TEXT,
title TEXT
);
app/package.json
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{
"name": "cv-tailor",
"private": true,
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build",
"deploy": "vite build && wrangler deploy",
"check": "tsc -p tsconfig.app.json && tsc -p tsconfig.worker.json && tsc -p tsconfig.node.json",
"types": "wrangler types"
},
"dependencies": {
"hono": "^4",
"react": "^19",
"react-dom": "^19"
},
"devDependencies": {
"@cloudflare/vite-plugin": "^1",
"@types/js-yaml": "^4",
"@types/node": "^26.1.0",
"@types/react": "^19",
"@types/react-dom": "^19",
"@vitejs/plugin-react": "^5",
"js-yaml": "^4",
"typescript": "^5",
"vite": "^7",
"wrangler": "^4"
}
}
app/plugins/latex-dev.ts
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import { execFile } from "node:child_process";
import { mkdtemp, readFile, rm, writeFile } from "node:fs/promises";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { promisify } from "node:util";
import type { Plugin } from "vite";
const run = promisify(execFile);
/**
* Dev-only PDF compiler. Uses the same local TeX Live toolchain as the
* repository Makefile, so dev output is byte-identical to `make`.
* In production the client falls back to the Worker's /api/pdf route.
*/
export function latexDev(): Plugin {
return {
name: "latex-dev-compiler",
apply: "serve",
configureServer(server) {
server.middlewares.use("/local/compile", (req, res) => {
if (req.method !== "POST") {
res.statusCode = 405;
res.end();
return;
}
const chunks: Buffer[] = [];
req.on("data", (c: Buffer) => chunks.push(c));
req.on("end", () => {
void (async () => {
let dir: string | undefined;
try {
const { latex } = JSON.parse(Buffer.concat(chunks).toString("utf8")) as {
latex: string;
};
dir = await mkdtemp(join(tmpdir(), "cvtex-"));
await writeFile(join(dir, "main.tex"), latex, "utf8");
await run("pdflatex", ["-interaction=nonstopmode", "-halt-on-error", "main.tex"], {
cwd: dir,
timeout: 30_000,
});
const pdf = await readFile(join(dir, "main.pdf"));
res.setHeader("Content-Type", "application/pdf");
res.end(pdf);
} catch (err) {
let log = err instanceof Error ? err.message : String(err);
if (dir) {
try {
log = (await readFile(join(dir, "main.log"), "utf8")).slice(-4000);
} catch {
/* no log written */
}
}
res.statusCode = 422;
res.setHeader("Content-Type", "application/json");
res.end(JSON.stringify({ error: "pdflatex failed", log }));
} finally {
if (dir) void rm(dir, { recursive: true, force: true });
}
})();
});
});
},
};
}
app/scripts/sync.ts
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/**
* Synchronize the YAML corpus under ../docs into the local D1 database.
*
* Usage: bun scripts/sync.ts [--remote]
*
* Applies migrations, regenerates seed.generated.sql from the YAML files,
* and executes it against D1 (local by default).
*/
import { execSync } from "node:child_process";
import { readFileSync, readdirSync, writeFileSync } from "node:fs";
import { basename, join } from "node:path";
import yaml from "js-yaml";
const APP = join(import.meta.dirname, "..");
const DOCS = join(APP, "..", "docs");
const TARGET = process.argv.includes("--remote") ? "--remote" : "--local";
// ---------- helpers ----------
const sql = (v: string | number | null | undefined): string =>
v == null ? "NULL" : typeof v === "number" ? String(v) : `'${v.replace(/'/g, "''")}'`;
/** js-yaml parses ISO dates into Date objects; normalize everything to strings. */
function iso(v: unknown): string | null {
if (v == null) return null;
if (v instanceof Date) return v.toISOString().slice(0, 10);
return String(v);
}
/** Split a `description` block scalar into its "- " bullets (with wrapped-line continuation). */
function bulletsOf(desc: unknown): string[] {
if (typeof desc !== "string") return [];
const out: string[] = [];
for (const line of desc.split("\n")) {
const t = line.trim();
if (t.startsWith("- ")) out.push(t.slice(2).trim());
else if (t && out.length > 0) out[out.length - 1] += ` ${t}`;
}
return out;
}
function loadYaml(path: string): Record<string, unknown> {
return yaml.load(readFileSync(path, "utf8")) as Record<string, unknown>;
}
// ---------- build statements ----------
const stmts: string[] = [
"DELETE FROM profile;",
"DELETE FROM summaries;",
"DELETE FROM experience;",
"DELETE FROM projects;",
"DELETE FROM bullets;",
"DELETE FROM item_skills;",
"DELETE FROM skills;",
"DELETE FROM education;",
"DELETE FROM honors;",
"DELETE FROM organizations;",
];
// about/profile.yml
{
const p = loadYaml(join(DOCS, "about/profile.yml"));
stmts.push(
`INSERT INTO profile (id, full_name, email, phone, website, linkedin, github, twitter) VALUES (1, ${sql(
String(p["full-name"]),
)}, ${sql(iso(p.email))}, ${sql(iso(p.phone))}, ${sql(iso(p.website))}, ${sql(
iso(p.linkedin),
)}, ${sql(iso(p.github))}, ${sql(iso(p.twitter))});`,
);
for (const s of (p.summary as { role: string; summary: string }[] | undefined) ?? []) {
stmts.push(
`INSERT INTO summaries (role, summary) VALUES (${sql(s.role)}, ${sql(s.summary.trim())});`,
);
}
}
// about/education.yml
{
const e = loadYaml(join(DOCS, "about/education.yml"));
stmts.push(
`INSERT INTO education (id, school, degree, field, start_date, end_date, activities) VALUES (1, ${sql(
iso(e.school),
)}, ${sql(iso(e.degree))}, ${sql(iso(e.field))}, ${sql(iso(e.start))}, ${sql(
iso(e.end),
)}, ${sql(typeof e.activities === "string" ? e.activities.trim() : null)});`,
);
for (const skill of (e.skills as string[] | undefined) ?? []) {
stmts.push(
`INSERT INTO item_skills (parent_type, parent_slug, skill) VALUES ('education', 'education', ${sql(skill)});`,
);
}
}
// about/honors.yml + organizations.yml (top-level lists)
for (const h of yaml.load(readFileSync(join(DOCS, "about/honors.yml"), "utf8")) as Record<
string,
unknown
>[]) {
stmts.push(
`INSERT INTO honors (title, date, institution) VALUES (${sql(iso(h.title))}, ${sql(
iso(h.date),
)}, ${sql(iso(h.institution))});`,
);
}
for (const o of yaml.load(readFileSync(join(DOCS, "about/organizations.yml"), "utf8")) as Record<
string,
unknown
>[]) {
stmts.push(
`INSERT INTO organizations (name, url, title) VALUES (${sql(iso(o.name))}, ${sql(
iso(o.url),
)}, ${sql(iso(o.title))});`,
);
}
// skills/languages.yml (tiered map)
{
const tiers = loadYaml(join(DOCS, "skills/languages.yml")) as Record<string, string[]>;
let pos = 0;
for (const tier of ["expert", "strong", "familiar"]) {
for (const name of tiers[tier] ?? []) {
stmts.push(
`INSERT INTO skills (name, category, tier, position) VALUES (${sql(name)}, 'language', ${sql(tier)}, ${pos++});`,
);
}
}
}
// skills/frameworks.yml (flat list; group headers live in YAML comments)
{
let grp: string | null = null;
let pos = 0;
for (const line of readFileSync(join(DOCS, "skills/frameworks.yml"), "utf8").split("\n")) {
const t = line.trim();
if (t.startsWith("#")) grp = t.replace(/^#\s*/, "");
else if (t.startsWith("- "))
stmts.push(
`INSERT INTO skills (name, category, grp, position) VALUES (${sql(t.slice(2).trim())}, 'framework', ${sql(grp)}, ${pos++});`,
);
}
}
// skills/methodology.yml (flat list)
{
const items = yaml.load(readFileSync(join(DOCS, "skills/methodology.yml"), "utf8")) as string[];
items.forEach((name, pos) =>
stmts.push(
`INSERT INTO skills (name, category, position) VALUES (${sql(name)}, 'methodology', ${pos});`,
),
);
}
// experience/*.yml
for (const file of readdirSync(join(DOCS, "experience")).filter((f) => /\.ya?ml$/.test(f)).sort()) {
const slug = file.replace(/\.ya?ml$/, "");
const e = loadYaml(join(DOCS, "experience", file));
stmts.push(
`INSERT INTO experience (slug, title, company, start_date, end_date, location, profile_heading) VALUES (${sql(
slug,
)}, ${sql(iso(e.title))}, ${sql(iso(e.company))}, ${sql(iso(e.start))}, ${sql(
iso(e.end),
)}, ${sql(iso(e.location))}, ${sql(iso(e["profile-heading"]))});`,
);
bulletsOf(e.description).forEach((text, position) =>
stmts.push(
`INSERT INTO bullets (parent_type, parent_slug, position, text) VALUES ('experience', ${sql(slug)}, ${position}, ${sql(text)});`,
),
);
for (const skill of (e.skills as string[] | undefined) ?? []) {
stmts.push(
`INSERT INTO item_skills (parent_type, parent_slug, skill) VALUES ('experience', ${sql(slug)}, ${sql(skill)});`,
);
}
}
// projects/*.yml
for (const file of readdirSync(join(DOCS, "projects")).filter((f) => /\.ya?ml$/.test(f)).sort()) {
const slug = file.replace(/\.ya?ml$/, "");
const p = loadYaml(join(DOCS, "projects", file));
stmts.push(
`INSERT INTO projects (slug, title, start_date, end_date, url, associated_with) VALUES (${sql(
slug,
)}, ${sql(iso(p.title))}, ${sql(iso(p.start))}, ${sql(iso(p.end))}, ${sql(
iso(p["project-url"]),
)}, ${sql(typeof p["associated-with"] === "string" ? basename(p["associated-with"]).replace(/\.ya?ml$/, "") : null)});`,
);
bulletsOf(p.description).forEach((text, position) =>
stmts.push(
`INSERT INTO bullets (parent_type, parent_slug, position, text) VALUES ('project', ${sql(slug)}, ${position}, ${sql(text)});`,
),
);
for (const skill of (p.skills as string[] | undefined) ?? []) {
stmts.push(
`INSERT INTO item_skills (parent_type, parent_slug, skill) VALUES ('project', ${sql(slug)}, ${sql(skill)});`,
);
}
}
// ---------- execute ----------
const seedPath = join(APP, "seed.generated.sql");
writeFileSync(seedPath, `${stmts.join("\n")}\n`);
console.log(`Wrote ${stmts.length} statements to seed.generated.sql`);
execSync(`bunx wrangler d1 migrations apply cv-tailor ${TARGET}`, { cwd: APP, stdio: "inherit" });
execSync(`bunx wrangler d1 execute cv-tailor ${TARGET} --file seed.generated.sql`, {
cwd: APP,
stdio: "inherit",
});
console.log("Sync complete.");
app/shared/types.ts
+73
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/** Shared API contract between the Worker and the React client. */
export interface JobExtract {
url: string;
title: string;
text: string;
/** Where the text came from: JobPosting JSON-LD, stripped body HTML, non-HTML response, or user paste. */
source: "json-ld" | "html" | "plain" | "manual";
}
export interface MatchedSkill {
name: string;
category: "language" | "framework" | "methodology" | "domain";
/** Number of times the skill (or an alias) appears in the job text. */
hits: number;
}
export interface RankedItem {
type: "experience" | "project";
slug: string;
title: string;
company?: string;
dates: string;
score: number;
matchedSkills: string[];
bullets: string[];
}
export interface MatchResult {
skills: MatchedSkill[];
items: RankedItem[];
}
export interface ChatMessage {
role: "user" | "assistant";
content: string;
}
export interface PlanSkillGroup {
group: string;
items: string[];
}
export interface PlanExperience {
slug: string;
bullets: string[];
}
export interface PlanProject {
slug: string;
heading: string;
bullets: string[];
}
/** The tailored selection the LaTeX template is filled from. */
export interface ResumePlan {
/** Headline under the name, e.g. "Senior Blockchain & Protocol Engineer". */
title: string;
skills: PlanSkillGroup[];
experience: PlanExperience[];
projects: PlanProject[];
}
export interface PlanResponse {
plan: ResumePlan;
source: "ai" | "fallback";
note?: string;
}
export interface ApiError {
error: string;
log?: string;
}
app/tsconfig.app.json
+16
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@@ -0,0 +1,16 @@
{
"compilerOptions": {
"target": "ES2022",
"lib": ["ES2023", "DOM", "DOM.Iterable"],
"module": "ESNext",
"moduleResolution": "bundler",
"jsx": "react-jsx",
"types": [],
"strict": true,
"noEmit": true,
"skipLibCheck": true,
"verbatimModuleSyntax": true,
"forceConsistentCasingInFileNames": true
},
"include": ["client", "shared"]
}
app/tsconfig.json
+8
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@@ -0,0 +1,8 @@
{
"files": [],
"references": [
{ "path": "./tsconfig.app.json" },
{ "path": "./tsconfig.worker.json" },
{ "path": "./tsconfig.node.json" }
]
}
app/tsconfig.node.json
+14
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@@ -0,0 +1,14 @@
{
"compilerOptions": {
"target": "ES2023",
"lib": ["ES2023"],
"module": "ESNext",
"moduleResolution": "bundler",
"types": ["node"],
"strict": true,
"noEmit": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true
},
"include": ["vite.config.ts", "plugins", "scripts"]
}
app/tsconfig.worker.json
+15
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@@ -0,0 +1,15 @@
{
"compilerOptions": {
"target": "ES2022",
"lib": ["ES2023"],
"module": "ESNext",
"moduleResolution": "bundler",
"types": [],
"strict": true,
"noEmit": true,
"skipLibCheck": true,
"verbatimModuleSyntax": true,
"forceConsistentCasingInFileNames": true
},
"include": ["worker", "shared", "worker-configuration.d.ts"]
}
app/vite.config.ts
+8
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import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
import { cloudflare } from "@cloudflare/vite-plugin";
import { latexDev } from "./plugins/latex-dev";
export default defineConfig({
plugins: [latexDev(), react(), cloudflare()],
});
app/worker/ai.ts
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import type {
ChatMessage,
JobExtract,
MatchResult,
PlanExperience,
PlanProject,
PlanResponse,
PlanSkillGroup,
ResumePlan,
} from "../shared/types";
import { formatRange, type Corpus } from "./db";
const LIMITS = {
skillGroups: 3,
groupItems: 9,
experiences: 2,
expBullets: 3,
projects: 3,
projBullets: 3,
bulletChars: 340,
};
/** A rewrite thinner than this is a stub — fall back to the source bullet. */
const MIN_BULLET_WORDS = 12;
const MIN_BULLET_CHARS = 80;
const BULLET_SCHEMA = {
type: "object",
additionalProperties: false,
required: ["i", "text"],
properties: {
i: { type: "integer", description: "Index of the source bullet this rewrite is based on" },
text: {
type: "string",
description:
"Rewrite of source bullet i: 18-30 words, keeps every number/metric and key technology from the source",
},
},
};
const PLAN_SCHEMA = {
type: "object",
additionalProperties: false,
required: ["title", "skills", "experience", "projects"],
properties: {
title: { type: "string", description: "Resume headline under the name, at most 6 words" },
skills: {
type: "array",
maxItems: LIMITS.skillGroups,
items: {
type: "object",
additionalProperties: false,
required: ["group", "items"],
properties: {
group: { type: "string" },
items: { type: "array", maxItems: LIMITS.groupItems, items: { type: "string" } },
},
},
},
experience: {
type: "array",
maxItems: LIMITS.experiences,
items: {
type: "object",
additionalProperties: false,
required: ["slug", "bullets"],
properties: {
slug: { type: "string" },
bullets: { type: "array", maxItems: LIMITS.expBullets, items: BULLET_SCHEMA },
},
},
},
projects: {
type: "array",
maxItems: LIMITS.projects,
items: {
type: "object",
additionalProperties: false,
required: ["slug", "heading", "bullets"],
properties: {
slug: { type: "string" },
heading: { type: "string", description: "Descriptive Title Case heading, at most 5 words" },
bullets: { type: "array", maxItems: LIMITS.projBullets, items: BULLET_SCHEMA },
},
},
},
},
};
const PLAN_SYSTEM = `You are an elite resume writer tailoring Prad Nukala's resume to a specific job posting. You receive the posting, a keyword match report, Prad's complete career materials (experience entries and projects addressed by slug, each with an indexed pool of factual source bullets), and optionally a conversation with Prad.
Return ONLY JSON matching the schema.
BULLET QUALITY BAR — the resume lives or dies here:
- Every bullet must read like a senior engineer's resume line: strong verb + specific system/technology + scope + concrete outcome, 18-30 words.
- Preserve EVERY metric and number from the source bullet ($4.7M, 120+, 1M+, 4th-highest, 6-engineer). Never drop or round them. Never invent new ones.
- Keep the source bullet's specific technologies; cut only filler words.
- Stub bullets are forbidden. "Founded Sonr", "Led fundraising", "Used Flutter framework" are automatic failures — any bullet under 15 words is rejected and replaced.
- Each bullet object carries "i" (the [index] of the source bullet in the materials) and "text" (your rewrite of THAT bullet).
Example rewrite:
source [0]: "Founded the startup and successfully led executive fundraising efforts, securing $4.7M in capital to build a peer-to-peer identity and asset management system leveraging decentralized identifiers (DIDs), WebAuthn, and IPFS."
GOOD: {"i": 0, "text": "Founded Sonr and raised $4.7M to build a peer-to-peer identity and asset-management platform on decentralized identifiers (DIDs), WebAuthn, and IPFS."}
BAD: {"i": 0, "text": "Founded Sonr and led fundraising."}
SELECTION:
- "title": resume headline, at most 6 words, mirroring how the posting names the role.
- "skills": exactly 3 groups; the first is "Languages". Name the other two using the posting's own vocabulary (e.g. "Protocols & Frameworks", "Infrastructure & Security"). 5-9 items per group, copied verbatim from the skill inventory — exact spelling, no additions.
- "experience": 1-2 entries by slug, most relevant first; 3 bullets for the first, 2 for the second. Pick the source bullets whose facts best answer the posting's requirements.
- "projects": 2-3 entries by slug; heading is a short descriptive Title Case name (e.g. "Layer-1 Blockchain & Identity"), never a slug; 2-3 bullets each.
- One-page budget: at most 11 bullets total across experience and projects.
- Honor explicit requests from the conversation with Prad.
OUTPUT SHAPE (follow EXACTLY — "skills" is an ARRAY of {group, items} objects, never a map):
{"title":"Senior Platform Engineer","skills":[{"group":"Languages","items":["Go","Rust"]},{"group":"Infrastructure","items":["Kubernetes","Docker"]}],"experience":[{"slug":"sonr","bullets":[{"i":0,"text":"..."}]}],"projects":[{"slug":"appchain","heading":"Layer-1 Blockchain & Identity","bullets":[{"i":1,"text":"..."}]}]}`;
/** Extract assistant text from any Workers AI output shape (legacy, ChatCompletions, Responses). */
function textOf(out: unknown): string {
if (typeof out === "string") return out;
if (out && typeof out === "object") {
if ("response" in out) {
const r: unknown = out.response;
if (typeof r === "string") return r;
// json_schema mode returns the parsed object directly in `response`.
if (r && typeof r === "object") return JSON.stringify(r);
}
if ("choices" in out && Array.isArray(out.choices)) {
const first: unknown = out.choices[0];
if (first && typeof first === "object" && "message" in first) {
const msg: unknown = first.message;
if (msg && typeof msg === "object" && "content" in msg && typeof msg.content === "string") {
return msg.content;
}
}
}
if ("output_text" in out && typeof out.output_text === "string") return out.output_text;
}
throw new Error("Workers AI returned an unexpected shape");
}
/** Frontier model (ChatCompletions shape) used for resume plan generation. */
async function runPlanModel(env: Env, system: string, user: string): Promise<string> {
const messages: ChatCompletionMessageParam[] = [
{ role: "system", content: system },
{ role: "user", content: user },
];
const out = await env.AI.run(env.PLAN_MODEL, {
messages,
max_tokens: 4096,
temperature: 0.4,
// Reasoning models otherwise think past the AI gateway timeout (504) on this prompt size.
reasoning_effort: "low",
chat_template_kwargs: { enable_thinking: false },
response_format: {
type: "json_schema",
json_schema: { name: "resume_plan", schema: PLAN_SCHEMA },
},
});
return textOf(out);
}
/** Fast model used for the interactive chat. */
async function runChatModel(env: Env, system: string, history: ChatMessage[]): Promise<string> {
const out = await env.AI.run(env.CHAT_MODEL, {
messages: [{ role: "system", content: system }, ...history.slice(-12)],
max_tokens: 640,
temperature: 0.7,
});
return textOf(out);
}
function materialsDigest(corpus: Corpus, match: MatchResult): string {
const lines: string[] = [];
lines.push("SKILL INVENTORY");
for (const category of ["language", "framework", "methodology"] as const) {
const names = corpus.skills.filter((s) => s.category === category).map((s) => s.name);
lines.push(`- ${category}: ${names.join(", ")}`);
}
lines.push("", "EXPERIENCE ENTRIES");
for (const e of corpus.experience) {
lines.push(`slug=${e.slug} | ${e.title} @ ${e.company} | ${formatRange(e.start_date, e.end_date, "month")}`);
e.bullets.forEach((b, i) => lines.push(` [${i}] ${b}`));
}
const projectRank = new Map<string, number>();
match.items.forEach((item, i) => {
if (item.type === "project") projectRank.set(item.slug, i);
});
const ranked = [...corpus.projects].sort(
(a, b) => (projectRank.get(a.slug) ?? 99) - (projectRank.get(b.slug) ?? 99),
);
lines.push("", "PROJECTS (most relevant first)");
for (const p of ranked.slice(0, 9)) {
lines.push(`slug=${p.slug} | ${p.title} | ${formatRange(p.start_date, p.end_date, "year")}`);
p.bullets.forEach((b, i) => lines.push(` [${i}] ${b}`));
}
const rest = ranked.slice(9);
if (rest.length > 0) {
lines.push("", `OTHER PROJECT SLUGS: ${rest.map((p) => `${p.slug} (${p.title})`).join("; ")}`);
}
return lines.join("\n");
}
function matchDigest(match: MatchResult): string {
const skills = match.skills.map((s) => `${s.name} x${s.hits}`).join(", ");
const items = match.items
.filter((i) => i.score > 0)
.slice(0, 12)
.map((i) => `${i.type}:${i.slug} score=${i.score} [${i.matchedSkills.join(", ")}]`)
.join("\n");
return `Matched skills: ${skills || "none"}\nRanked material:\n${items || "none"}`;
}
function parseLooseJson(text: string): unknown {
const stripped = text.replace(/```(?:json)?/gi, "");
const start = stripped.indexOf("{");
const end = stripped.lastIndexOf("}");
if (start < 0 || end <= start) throw new Error("model output contained no JSON object");
return JSON.parse(stripped.slice(start, end + 1));
}
/**
* Vet a rewritten bullet against its source. A stub (too short) or a rewrite
* that lost the source's numbers is replaced by the source bullet verbatim —
* the corpus bullets are professionally written, so verbatim is the floor.
*/
function vetBullet(rewrite: unknown, source: string | undefined): string | null {
const text = typeof rewrite === "string" ? rewrite.trim() : "";
const words = text.length > 0 ? text.split(/\s+/).length : 0;
const tooThin = text.length < MIN_BULLET_CHARS || words < MIN_BULLET_WORDS;
const lostNumbers = source !== undefined && /\d/.test(source) && !/\d/.test(text);
if (!tooThin && !lostNumbers) return text.slice(0, LIMITS.bulletChars);
if (source !== undefined) return source.slice(0, LIMITS.bulletChars);
return words >= 8 ? text.slice(0, LIMITS.bulletChars) : null;
}
/** Resolve `{i, text}` bullet entries against the item's source pool, vetting each rewrite. */
function pickBullets(rawBullets: unknown, pool: string[], cap: number): string[] {
if (!Array.isArray(rawBullets)) return [];
const out: string[] = [];
const usedSources = new Set<number>();
for (const rb of rawBullets) {
if (out.length >= cap) break;
let idx = -1;
let text: unknown = rb;
if (rb && typeof rb === "object") {
if ("i" in rb && typeof rb.i === "number") idx = Math.trunc(rb.i);
if ("text" in rb) text = rb.text;
}
const source = idx >= 0 && idx < pool.length ? pool[idx] : undefined;
if (source !== undefined) {
if (usedSources.has(idx)) continue;
usedSources.add(idx);
}
const vetted = vetBullet(text, source);
if (vetted !== null && !out.includes(vetted)) out.push(vetted);
}
return out;
}
/**
* Map a model-proposed skill name onto the canonical corpus spelling.
* Exact (case-insensitive) match first, then substring either way for
* abbreviations like "AWS" -> "AWS Lambda", "Cryptography" -> "Cryptography (ZKP & MPC)".
*/
function resolveSkill(name: string, canon: Map<string, string>): string | null {
const lower = name.trim().toLowerCase();
if (lower.length < 2) return null;
const exact = canon.get(lower);
if (exact) return exact;
if (lower.length < 3) return null;
for (const [key, value] of canon) {
if (key.includes(lower) || lower.includes(key)) return value;
}
return null;
}
/** Accept skills as the schema's array of {group, items} OR a loose {group: items[]} map. */
function readSkillGroups(raw: unknown): { group: string; items: unknown[] }[] {
if (Array.isArray(raw)) {
const out: { group: string; items: unknown[] }[] = [];
for (const g of raw) {
if (g && typeof g === "object" && "group" in g && "items" in g && typeof g.group === "string" && Array.isArray(g.items)) {
out.push({ group: g.group, items: g.items });
}
}
return out;
}
if (raw && typeof raw === "object") {
return Object.entries(raw).flatMap(([group, items]) => (Array.isArray(items) ? [{ group, items }] : []));
}
return [];
}
function sanitizePlan(raw: unknown, corpus: Corpus): ResumePlan {
if (!raw || typeof raw !== "object") throw new Error("plan is not an object");
const title =
"title" in raw && typeof raw.title === "string" && raw.title.trim().length > 0
? raw.title.trim().slice(0, 80)
: "Software Engineer";
const canon = new Map<string, string>();
for (const s of corpus.skills) canon.set(s.name.toLowerCase(), s.name);
for (const item of [...corpus.experience, ...corpus.projects]) {
for (const s of item.skills) if (!canon.has(s.toLowerCase())) canon.set(s.toLowerCase(), s);
}
const skills: PlanSkillGroup[] = [];
const usedSkills = new Set<string>();
for (const g of ("skills" in raw ? readSkillGroups(raw.skills) : []).slice(0, LIMITS.skillGroups)) {
const items: string[] = [];
for (const x of g.items) {
if (items.length >= LIMITS.groupItems || typeof x !== "string") continue;
const resolved = resolveSkill(x, canon);
if (resolved && !usedSkills.has(resolved)) {
usedSkills.add(resolved);
items.push(resolved);
}
}
if (items.length >= 2) skills.push({ group: g.group.trim().slice(0, 40), items });
}
const experience: PlanExperience[] = [];
if ("experience" in raw && Array.isArray(raw.experience)) {
for (const e of raw.experience.slice(0, LIMITS.experiences)) {
if (!e || typeof e !== "object" || !("slug" in e) || !("bullets" in e)) continue;
if (typeof e.slug !== "string") continue;
const row = corpus.experience.find((x) => x.slug === e.slug);
if (!row) continue;
const cap = experience.length === 0 ? LIMITS.expBullets : 2;
const bullets = pickBullets(e.bullets, row.bullets, cap);
if (bullets.length > 0) experience.push({ slug: e.slug, bullets });
}
}
const projects: PlanProject[] = [];
if ("projects" in raw && Array.isArray(raw.projects)) {
for (const pr of raw.projects.slice(0, LIMITS.projects)) {
if (!pr || typeof pr !== "object" || !("slug" in pr) || !("bullets" in pr)) continue;
if (typeof pr.slug !== "string") continue;
const row = corpus.projects.find((p) => p.slug === pr.slug);
if (!row) continue;
const bullets = pickBullets(pr.bullets, row.bullets, LIMITS.projBullets);
const heading =
"heading" in pr && typeof pr.heading === "string" && pr.heading.trim().length > 0
? pr.heading.trim().slice(0, 48)
: row.title.split(/[—|]/)[0].trim().slice(0, 48);
if (bullets.length > 0) projects.push({ slug: pr.slug, heading, bullets });
}
}
if (experience.length === 0 || skills.length === 0) throw new Error("plan missing required sections");
return { title, skills, experience, projects };
}
/** Deterministic plan used when Workers AI is unavailable or returns garbage. */
export function fallbackPlan(corpus: Corpus, match: MatchResult): ResumePlan {
const matched = new Set(match.skills.map((s) => s.name));
const pick = (category: "language" | "framework" | "methodology", count: number): string[] => {
const all = corpus.skills.filter((s) => s.category === category);
const preferred = all.filter((s) => matched.has(s.name));
const rest = all.filter((s) => !matched.has(s.name) && (category !== "language" || s.tier === "expert"));
return [...preferred, ...rest].slice(0, count).map((s) => s.name);
};
const experience: PlanExperience[] = match.items
.filter((i) => i.type === "experience")
.slice(0, LIMITS.experiences)
.map((i, idx) => ({ slug: i.slug, bullets: i.bullets.slice(0, idx === 0 ? 3 : 2) }));
const projects: PlanProject[] = match.items
.filter((i) => i.type === "project" && i.score > 0)
.slice(0, LIMITS.projects)
.map((i) => ({
slug: i.slug,
heading: i.title.split(/[—|]/)[0].trim().slice(0, 48),
bullets: i.bullets.slice(0, 2),
}));
return {
title: "Senior Software Engineer",
skills: [
{ group: "Languages", items: pick("language", 7) },
{ group: "Frameworks", items: pick("framework", 8) },
{ group: "Methodology", items: pick("methodology", 6) },
],
experience,
projects,
};
}
export async function buildPlan(
env: Env,
corpus: Corpus,
jd: JobExtract,
match: MatchResult,
chat: ChatMessage[],
): Promise<PlanResponse> {
const sections = [
`JOB POSTING: ${jd.title}`,
jd.text.slice(0, 6000),
"",
"MATCH REPORT",
matchDigest(match),
"",
materialsDigest(corpus, match),
];
if (chat.length > 0) {
sections.push("", "CONVERSATION WITH PRAD (honor explicit requests)");
for (const m of chat.slice(-12)) sections.push(`${m.role}: ${m.content}`);
}
sections.push("", "Return the JSON plan now.");
try {
const text = await runPlanModel(env, PLAN_SYSTEM, sections.join("\n"));
return { plan: sanitizePlan(parseLooseJson(text), corpus), source: "ai" };
} catch (err) {
return {
plan: fallbackPlan(corpus, match),
source: "fallback",
note: err instanceof Error ? err.message : String(err),
};
}
}
export async function chatReply(
env: Env,
corpus: Corpus,
jd: JobExtract,
match: MatchResult,
history: ChatMessage[],
): Promise<string> {
const system = `You are a resume-tailoring assistant helping Prad Nukala tailor his resume to a job posting. Be concise and concrete (2-5 sentences unless asked for more). You can discuss which experience, projects, skills, and phrasing to emphasize; the final resume is generated when Prad clicks Generate, and your conversation is taken into account. Never invent facts not present in the materials.
JOB POSTING: ${jd.title}
${jd.text.slice(0, 3500)}
MATCH REPORT
${matchDigest(match)}
${materialsDigest(corpus, match).slice(0, 6000)}`;
const text = await runChatModel(env, system, history);
return text.trim();
}
app/worker/db.ts
+161
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/** Row shapes and corpus loader for the cv-tailor D1 database. */
export interface ProfileRow {
full_name: string;
email: string | null;
phone: string | null;
website: string | null;
linkedin: string | null;
github: string | null;
twitter: string | null;
}
export interface SummaryRow {
role: string;
summary: string;
}
export interface ExperienceItem {
slug: string;
title: string;
company: string;
start_date: string;
end_date: string | null;
location: string | null;
profile_heading: string | null;
bullets: string[];
skills: string[];
}
export interface ProjectItem {
slug: string;
title: string;
start_date: string | null;
end_date: string | null;
url: string | null;
associated_with: string | null;
bullets: string[];
skills: string[];
}
export interface SkillRow {
name: string;
category: "language" | "framework" | "methodology";
grp: string | null;
tier: string | null;
position: number;
}
export interface EducationRow {
school: string;
degree: string | null;
field: string | null;
start_date: string | null;
end_date: string | null;
activities: string | null;
}
export interface HonorRow {
title: string;
date: string | null;
institution: string | null;
}
export interface OrganizationRow {
name: string;
url: string | null;
title: string | null;
}
export interface Corpus {
profile: ProfileRow;
summaries: SummaryRow[];
experience: ExperienceItem[];
projects: ProjectItem[];
skills: SkillRow[];
education: EducationRow | null;
honors: HonorRow[];
organizations: OrganizationRow[];
}
interface BulletRow {
parent_type: string;
parent_slug: string;
position: number;
text: string;
}
interface ItemSkillRow {
parent_type: string;
parent_slug: string;
skill: string;
}
type ExperienceDbRow = Omit<ExperienceItem, "bullets" | "skills">;
type ProjectDbRow = Omit<ProjectItem, "bullets" | "skills">;
const MONTHS = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"];
/**
* "2021-03-01".."" -> "Mar 2021 – Present" (month style) or "2021 – Present" (year style).
* Uses an en dash; the LaTeX escaper converts it to `--`.
*/
export function formatRange(
start: string | null,
end: string | null,
style: "month" | "year",
): string {
if (!start) return "";
let from: string;
let to = "Present";
if (style === "month") {
from = `${MONTHS[Number(start.slice(5, 7)) - 1]} ${start.slice(0, 4)}`;
if (end) to = `${MONTHS[Number(end.slice(5, 7)) - 1]} ${end.slice(0, 4)}`;
} else {
from = start.slice(0, 4);
if (end) to = end.slice(0, 4);
}
return `${from} – ${to}`;
}
export async function loadCorpus(db: D1Database): Promise<Corpus> {
const [profile, summaries, experience, projects, bullets, itemSkills, skills, education, honors, organizations] =
await Promise.all([
db.prepare("SELECT * FROM profile LIMIT 1").all<ProfileRow>(),
db.prepare("SELECT role, summary FROM summaries").all<SummaryRow>(),
db.prepare("SELECT * FROM experience ORDER BY start_date DESC").all<ExperienceDbRow>(),
db.prepare("SELECT * FROM projects ORDER BY start_date DESC").all<ProjectDbRow>(),
db
.prepare("SELECT parent_type, parent_slug, position, text FROM bullets ORDER BY position")
.all<BulletRow>(),
db.prepare("SELECT parent_type, parent_slug, skill FROM item_skills").all<ItemSkillRow>(),
db
.prepare("SELECT name, category, grp, tier, position FROM skills ORDER BY position")
.all<SkillRow>(),
db.prepare("SELECT * FROM education LIMIT 1").all<EducationRow>(),
db.prepare("SELECT title, date, institution FROM honors").all<HonorRow>(),
db.prepare("SELECT name, url, title FROM organizations").all<OrganizationRow>(),
]);
const profileRow = profile.results[0];
if (!profileRow) throw new Error("D1 is empty — run `bun run sync` first.");
const experienceItems: ExperienceItem[] = experience.results.map((r) => ({ ...r, bullets: [], skills: [] }));
const projectItems: ProjectItem[] = projects.results.map((r) => ({ ...r, bullets: [], skills: [] }));
const bySlug = new Map<string, { bullets: string[]; skills: string[] }>();
for (const item of experienceItems) bySlug.set(`experience:${item.slug}`, item);
for (const item of projectItems) bySlug.set(`project:${item.slug}`, item);
for (const b of bullets.results) bySlug.get(`${b.parent_type}:${b.parent_slug}`)?.bullets.push(b.text);
for (const s of itemSkills.results) bySlug.get(`${s.parent_type}:${s.parent_slug}`)?.skills.push(s.skill);
return {
profile: profileRow,
summaries: summaries.results,
experience: experienceItems,
projects: projectItems,
skills: skills.results,
education: education.results[0] ?? null,
honors: honors.results,
organizations: organizations.results,
};
}
app/worker/extract.ts
+163
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import type { JobExtract } from "../shared/types";
const UA =
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36";
const MAX_BYTES = 4_000_000;
const MAX_TEXT = 24_000;
/** Fetch a job posting URL and extract readable text, preferring JobPosting JSON-LD. */
export async function extractJob(url: string): Promise<JobExtract> {
const res = await fetch(url, {
redirect: "follow",
headers: {
"User-Agent": UA,
Accept: "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9",
},
});
if (!res.ok) throw new Error(`upstream responded ${res.status} ${res.statusText}`);
const raw = await readCapped(res);
const contentType = res.headers.get("content-type") ?? "";
if (!contentType.includes("html")) {
return { url, title: url, text: tidy(raw).slice(0, MAX_TEXT), source: "plain" };
}
const posting = findJobPostingLd(raw);
if (posting) return { url, title: posting.title, text: posting.text.slice(0, MAX_TEXT), source: "json-ld" };
const titleMatch = /<title[^>]*>([\s\S]*?)<\/title>/i.exec(raw);
const title = titleMatch ? tidy(decodeEntities(titleMatch[1])) : url;
return { url, title: title || url, text: stripHtml(raw).slice(0, MAX_TEXT), source: "html" };
}
/** Stream the body with a byte cap so an unbounded response cannot exhaust memory. */
async function readCapped(res: Response): Promise<string> {
if (!res.body) return "";
const reader = res.body.getReader();
const chunks: Uint8Array[] = [];
let bytes = 0;
for (;;) {
const { done, value } = await reader.read();
if (done) break;
bytes += value.length;
chunks.push(value);
if (bytes >= MAX_BYTES) {
await reader.cancel();
break;
}
}
const merged = new Uint8Array(Math.min(bytes, MAX_BYTES));
let offset = 0;
for (const chunk of chunks) {
const slice = chunk.subarray(0, Math.min(chunk.length, merged.length - offset));
merged.set(slice, offset);
offset += slice.length;
if (offset >= merged.length) break;
}
return new TextDecoder("utf-8", { fatal: false, ignoreBOM: false }).decode(merged);
}
/** Walk every <script type="application/ld+json"> looking for a schema.org JobPosting. */
function findJobPostingLd(html: string): { title: string; text: string } | null {
const scriptRe = /<script[^>]*type\s*=\s*["']application\/ld\+json["'][^>]*>([\s\S]*?)<\/script>/gi;
for (let m = scriptRe.exec(html); m; m = scriptRe.exec(html)) {
let parsed: unknown;
try {
parsed = JSON.parse(m[1]);
} catch {
continue;
}
const posting = findPostingNode(parsed);
if (!posting) continue;
const parts: string[] = [];
const title = typeof posting.title === "string" ? tidy(posting.title) : "";
if (title) parts.push(title);
if (posting.hiringOrganization && typeof posting.hiringOrganization === "object") {
const org = posting.hiringOrganization;
if ("name" in org && typeof org.name === "string") parts.push(`Company: ${org.name}`);
}
if (typeof posting.description === "string") parts.push(stripHtml(posting.description));
if (parts.length > (title ? 1 : 0)) return { title: title || "Job Posting", text: parts.join("\n\n") };
}
return null;
}
interface JobPostingNode {
title?: unknown;
description?: unknown;
hiringOrganization?: unknown;
}
function findPostingNode(node: unknown): JobPostingNode | null {
if (Array.isArray(node)) {
for (const child of node) {
const found = findPostingNode(child);
if (found) return found;
}
return null;
}
if (!node || typeof node !== "object") return null;
if ("@type" in node) {
const t = node["@type"];
const isPosting = t === "JobPosting" || (Array.isArray(t) && t.includes("JobPosting"));
if (isPosting) {
return {
title: "title" in node ? node.title : undefined,
description: "description" in node ? node.description : undefined,
hiringOrganization: "hiringOrganization" in node ? node.hiringOrganization : undefined,
};
}
}
if ("@graph" in node) return findPostingNode(node["@graph"]);
return null;
}
/** Strip an HTML document (or fragment) down to readable plain text. */
export function stripHtml(html: string): string {
let t = html
.replace(/<!--[\s\S]*?-->/g, " ")
.replace(/<(script|style|noscript|template|svg|head)\b[\s\S]*?<\/\1>/gi, " ")
.replace(/<(br|\/p|\/div|\/li|\/tr|\/h[1-6]|\/section|\/article|\/ul|\/ol)[^>]*>/gi, "\n")
.replace(/<li[^>]*>/gi, "\n- ")
.replace(/<[^>]+>/g, " ");
return tidy(decodeEntities(t));
}
const NAMED_ENTITIES: Record<string, string> = {
amp: "&",
lt: "<",
gt: ">",
quot: '"',
apos: "'",
nbsp: " ",
ndash: "–",
mdash: "—",
bull: "•",
hellip: "…",
rsquo: "'",
lsquo: "'",
rdquo: '"',
ldquo: '"',
};
function decodeEntities(s: string): string {
return s.replace(/&(#x?[0-9a-f]+|[a-z]+);/gi, (whole, code: string) => {
if (code.startsWith("#x") || code.startsWith("#X"))
return String.fromCodePoint(Number.parseInt(code.slice(2), 16));
if (code.startsWith("#")) return String.fromCodePoint(Number.parseInt(code.slice(1), 10));
return NAMED_ENTITIES[code.toLowerCase()] ?? whole;
});
}
/** Normalize whitespace: collapse runs, trim lines, drop blank-line stacks. */
function tidy(s: string): string {
return s
.replace(/\r/g, "")
.split("\n")
.map((line) => line.replace(/[ \t\u00a0]+/g, " ").trim())
.join("\n")
.replace(/\n{3,}/g, "\n\n")
.trim();
}
app/worker/index.ts
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import { Hono } from "hono";
import type { ChatMessage, JobExtract, MatchResult, ResumePlan } from "../shared/types";
import { buildPlan, chatReply } from "./ai";
import { loadCorpus } from "./db";
import { extractJob } from "./extract";
import { renderLatex } from "./latex";
import { matchCorpus } from "./match";
const app = new Hono<{ Bindings: Env }>();
app.onError((err, c) => {
console.error(JSON.stringify({ level: "error", path: c.req.path, message: err.message }));
return c.json({ error: err.message }, 500);
});
app.post("/api/extract", async (c) => {
const { url } = await c.req.json<{ url?: string }>();
const trimmed = url?.trim() ?? "";
if (!/^https?:\/\//i.test(trimmed)) {
return c.json({ error: "Enter a full http(s) URL to a job posting." }, 400);
}
let jd: JobExtract;
try {
jd = await extractJob(trimmed);
} catch (err) {
const message = err instanceof Error ? err.message : String(err);
return c.json({ error: `Could not fetch the posting: ${message}` }, 502);
}
if (jd.text.length < 120) {
return c.json(
{ error: "The page yielded almost no text (likely rendered by JavaScript). Try the direct job-board URL (Greenhouse/Lever/Workable)." },
422,
);
}
return c.json(jd);
});
app.post("/api/match", async (c) => {
const { text } = await c.req.json<{ text?: string }>();
if (!text) return c.json({ error: "Missing job text." }, 400);
const corpus = await loadCorpus(c.env.DB);
return c.json(matchCorpus(corpus, text));
});
app.post("/api/chat", async (c) => {
const body = await c.req.json<{ jd: JobExtract; match: MatchResult; messages: ChatMessage[] }>();
const corpus = await loadCorpus(c.env.DB);
try {
const reply = await chatReply(c.env, corpus, body.jd, body.match, body.messages ?? []);
return c.json({ reply });
} catch (err) {
const message = err instanceof Error ? err.message : String(err);
return c.json({ error: `Workers AI is unavailable (${message}). Check \`wrangler login\` / network.` }, 502);
}
});
app.post("/api/plan", async (c) => {
const body = await c.req.json<{ jd: JobExtract; match?: MatchResult; chat?: ChatMessage[] }>();
if (!body.jd?.text) return c.json({ error: "Missing job extract." }, 400);
const corpus = await loadCorpus(c.env.DB);
const match = body.match ?? matchCorpus(corpus, body.jd.text);
return c.json(await buildPlan(c.env, corpus, body.jd, match, body.chat ?? []));
});
app.post("/api/latex", async (c) => {
const { plan } = await c.req.json<{ plan?: ResumePlan }>();
if (!plan) return c.json({ error: "Missing plan." }, 400);
const corpus = await loadCorpus(c.env.DB);
return c.json({ latex: renderLatex(corpus, plan) });
});
/** Production fallback compiler; local dev uses the Vite /local/compile middleware (real pdflatex). */
app.post("/api/pdf", async (c) => {
const { latex } = await c.req.json<{ latex?: string }>();
if (!latex) return c.json({ error: "Missing latex source." }, 400);
const res = await fetch("https://latex.ytotech.com/builds/sync", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ compiler: "pdflatex", resources: [{ main: true, content: latex }] }),
});
if (res.ok && res.body) {
return new Response(res.body, { headers: { "Content-Type": "application/pdf" } });
}
const log = (await res.text()).slice(0, 4000);
return c.json({ error: `Remote LaTeX service responded ${res.status}`, log }, 502);
});
export default app;
app/worker/latex.ts
+153
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import type { ResumePlan } from "../shared/types";
import { formatRange, type Corpus } from "./db";
/** Escape dynamic text for pdflatex (inputenc utf8 + fontenc T1, Computer Modern). */
export function escapeLatex(s: string): string {
let t = s.replace(/\\/g, "\u0000");
t = t.replace(/([&%$#_{}])/g, "\\$1");
t = t.replace(/~/g, "\\textasciitilde{}").replace(/\^/g, "\\textasciicircum{}");
t = t.replace(/\u0000/g, "\\textbackslash{}");
t = t
.replace(/[\u2018\u2019\u02bc]/g, "'")
.replace(/\u201c/g, "``")
.replace(/\u201d/g, "''")
.replace(/"([^"]*)"/g, "``$1''")
.replace(/"/g, "''")
.replace(/\u2014/g, "---")
.replace(/[\u2012\u2013]/g, "--")
.replace(/[\u2010\u2011\u2212]/g, "-")
.replace(/\u00b7/g, "\\textperiodcentered{}")
.replace(/[\u2022\u25aa\u25cf]/g, "\\textbullet{}")
.replace(/\u2026/g, "\\ldots{}")
.replace(/[\u00a0\u2007\u202f]/g, "~");
return t.replace(/[^\x20-\x7e]/g, "");
}
function itemize(bullets: string[]): string {
const items = bullets.map((b) => ` \\item \\small{${escapeLatex(b)}}`).join("\n");
return `\\begin{itemize}[leftmargin=*, nosep, topsep=2pt]\n${items}\n\\end{itemize}`;
}
/**
* Fill the shared résumé template (same preamble and layout as ../src/*.tex)
* with a tailored plan plus the role-independent corpus blocks.
*/
export function renderLatex(corpus: Corpus, plan: ResumePlan): string {
const p = corpus.profile;
const contact: string[] = [];
if (p.email) contact.push(`\\href{mailto:${p.email}}{${escapeLatex(p.email)}}`);
if (p.phone) contact.push(escapeLatex(p.phone));
if (p.website) contact.push(`\\href{${p.website}}{Website}`);
if (p.linkedin) contact.push(`\\href{${p.linkedin}}{LinkedIn}`);
if (p.github) contact.push(`\\href{${p.github}}{GitHub}`);
if (p.twitter) contact.push(`\\href{${p.twitter}}{Twitter}`);
const skillGroups = plan.skills
.map((g) => `\\textbf{${escapeLatex(g.group)}}\\\\[1pt]\n${escapeLatex(g.items.join(", "))}\\\\[5pt]`)
.join("\n");
const honors = corpus.honors
.map(
(h) =>
`\\textbf{${escapeLatex(h.title)}}\\\\[1pt]\n${escapeLatex(h.institution ?? "")} \\hfill \\textit{${h.date?.slice(0, 4) ?? ""}}\\\\[4pt]`,
)
.join("\n");
const organizations = corpus.organizations
.map((o) => `\\textbf{${escapeLatex(o.name)}}\\\\[1pt]\n${escapeLatex(o.title ?? "")}\\\\[4pt]`)
.join("\n");
const experience = plan.experience
.flatMap((sel) => {
const row = corpus.experience.find((e) => e.slug === sel.slug);
if (!row || sel.bullets.length === 0) return [];
const dates = escapeLatex(formatRange(row.start_date, row.end_date, "month"));
const where = row.location ? `${escapeLatex(row.company)} --- ${escapeLatex(row.location)}` : escapeLatex(row.company);
return [
`\\textbf{${escapeLatex(row.title)}} \\hfill \\textit{${dates}}\\\\\n\\textit{${where}}\n${itemize(sel.bullets)}\n\\vspace{6pt}`,
];
})
.join("\n");
const projects = plan.projects
.flatMap((sel) => {
const row = corpus.projects.find((pr) => pr.slug === sel.slug);
if (!row || sel.bullets.length === 0) return [];
const dates = escapeLatex(formatRange(row.start_date, row.end_date, "year"));
return [`\\textbf{${escapeLatex(sel.heading)}} \\hfill \\textit{${dates}}\n${itemize(sel.bullets)}\n\\vspace{4pt}`];
})
.join("\n");
const edu = corpus.education;
const education = edu
? `\\textbf{B.S. in ${escapeLatex(edu.field ?? "")}} \\hfill \\textit{${escapeLatex(formatRange(edu.start_date, edu.end_date, "year"))}}\\\\\n\\textit{${escapeLatex(edu.school)}}`
: "";
return `\\documentclass[11pt]{article}
\\usepackage[utf8]{inputenc}
\\usepackage[T1]{fontenc}
\\usepackage{geometry}
\\usepackage{enumitem}
\\usepackage{paracol}
\\usepackage[hidelinks]{hyperref}
\\geometry{a4paper, margin=0.5in}
\\setlength{\\parindent}{0pt}
\\setlength{\\parskip}{2pt}
\\columnratio{0.3}
\\begin{document}
{\\centering
{\\Huge \\textbf{${escapeLatex(p.full_name)}}}\\\\[2pt]
{\\large ${escapeLatex(plan.title)}}
\\par
}
\\vspace{14pt}
\\begin{paracol}{2}
\\raggedright
\\small
{\\bfseries Contact}\\\\[2pt]
\\rule{\\linewidth}{0.4pt}\\\\[4pt]
${contact.join("\\\\[2pt]\n")}
\\vspace{8pt}
{\\bfseries Skills}\\\\[2pt]
\\rule{\\linewidth}{0.4pt}\\\\[4pt]
${skillGroups}
\\vspace{8pt}
{\\bfseries Honors}\\\\[2pt]
\\rule{\\linewidth}{0.4pt}\\\\[4pt]
${honors}
\\vspace{8pt}
{\\bfseries Organizations}\\\\[2pt]
\\rule{\\linewidth}{0.4pt}\\\\[4pt]
${organizations}
\\switchcolumn
\\normalsize
\\raggedright
{\\bfseries Experience}\\\\[2pt]
\\rule{\\linewidth}{0.4pt}\\\\[4pt]
${experience}
{\\bfseries Projects}\\\\[2pt]
\\rule{\\linewidth}{0.4pt}\\\\[4pt]
${projects}
{\\bfseries Education}\\\\[2pt]
\\rule{\\linewidth}{0.4pt}\\\\[4pt]
${education}
\\vspace{4pt}
\\end{paracol}
\\end{document}
`;
}
app/worker/match.ts
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import type { MatchResult, MatchedSkill, RankedItem } from "../shared/types";
import { formatRange, type Corpus } from "./db";
/** Skill names that collide with common English words — match these case-sensitively. */
const CASE_SENSITIVE = new Set(["Go", "R", "C", "Swift", "Dart", "Unity", "Agile", "Matrix"]);
/** Hand-curated aliases beyond the automatic parenthetical/slash splits. */
const EXTRA_ALIASES: Record<string, string[]> = {
Go: ["Golang"],
Kubernetes: ["K8s"],
"Google Cloud": ["GCP"],
"Test-Driven Development": ["TDD"],
"Continuous Integration": ["CI/CD", "CI"],
"React.js": ["ReactJS"],
"Protocol Buffers": ["Protobufs", "Protobuf"],
Protobufs: ["Protocol Buffers", "Protobuf"],
"Matrix Protocol": ["Matrix"],
"Decentralized Identifiers (DIDs)": ["DID"],
"Cloudflare Workers": ["Cloudflare"],
PostgreSQL: ["Postgres"],
};
/** "WebAssembly (WASM)" -> ["WebAssembly (WASM)", "WebAssembly", "WASM"]; "HTML/CSS" -> [..., "HTML", "CSS"]. */
function aliasesFor(name: string): string[] {
const out = [name];
const paren = /^(.*?)\s*\((.*?)\)$/.exec(name);
if (paren) {
out.push(paren[1].trim());
for (const part of paren[2].split(/\s*(?:[&,/·]|and)\s*/)) if (part.trim()) out.push(part.trim());
} else if (name.includes("/") && name !== "CI/CD") {
for (const part of name.split("/")) if (part.trim()) out.push(part.trim());
}
for (const extra of EXTRA_ALIASES[name] ?? []) out.push(extra);
return [...new Set(out)];
}
function countHits(text: string, name: string): number {
let hits = 0;
for (const alias of aliasesFor(name)) {
if (alias.length < 2 && !CASE_SENSITIVE.has(alias)) continue;
const escaped = alias.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
const flags = CASE_SENSITIVE.has(alias) ? "g" : "gi";
const re = new RegExp(`(?<![A-Za-z0-9#+])${escaped}(?![A-Za-z0-9#+])`, flags);
hits += text.match(re)?.length ?? 0;
}
return hits;
}
function rankItem(
type: RankedItem["type"],
slug: string,
title: string,
company: string | undefined,
dates: string,
bullets: string[],
itemSkills: string[],
hitsByName: Map<string, number>,
): RankedItem {
const matchedSkills = itemSkills.filter((s) => hitsByName.has(s));
let bulletHits = 0;
for (const bullet of bullets) {
const lower = bullet.toLowerCase();
for (const s of matchedSkills) {
const stem = s.replace(/\s*\(.*\)$/, "").toLowerCase();
if (lower.includes(stem)) bulletHits++;
}
}
const score = matchedSkills.length * 3 + Math.min(bulletHits, 6);
return { type, slug, title, company, dates, score, matchedSkills, bullets };
}
/** Deterministic skill-keyword match of the corpus against extracted job text. */
export function matchCorpus(corpus: Corpus, jdText: string): MatchResult {
const categories = new Map<string, MatchedSkill["category"]>();
for (const s of corpus.skills) categories.set(s.name, s.category);
const universe = new Set<string>(corpus.skills.map((s) => s.name));
for (const item of corpus.experience) for (const s of item.skills) universe.add(s);
for (const item of corpus.projects) for (const s of item.skills) universe.add(s);
const hitsByName = new Map<string, number>();
for (const name of universe) {
const hits = countHits(jdText, name);
if (hits > 0) hitsByName.set(name, hits);
}
const skills: MatchedSkill[] = [...hitsByName.entries()]
.map(([name, hits]) => ({ name, hits, category: categories.get(name) ?? ("domain" as const) }))
.sort((a, b) => b.hits - a.hits);
const items: RankedItem[] = [];
for (const e of corpus.experience) {
items.push(
rankItem("experience", e.slug, e.title, e.company, formatRange(e.start_date, e.end_date, "month"), e.bullets, e.skills, hitsByName),
);
}
for (const p of corpus.projects) {
items.push(
rankItem("project", p.slug, p.title, undefined, formatRange(p.start_date, p.end_date, "year"), p.bullets, p.skills, hitsByName),
);
}
items.sort((a, b) => b.score - a.score);
return { skills, items };
}
app/wrangler.jsonc
+34
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{
"$schema": "node_modules/wrangler/config-schema.json",
"name": "cv-tailor",
"main": "worker/index.ts",
"compatibility_date": "2026-06-20",
"compatibility_flags": ["nodejs_compat"],
"assets": {
"not_found_handling": "single-page-application"
},
"observability": {
"enabled": true
},
"vars": {
// Frontier open-weight model for resume plan generation. The remote AI
// binding has a ~60s gateway cap; kimi-k2.6 (1T) exceeds it on this prompt.
"PLAN_MODEL": "@cf/openai/gpt-oss-120b",
// Fast model for the interactive chat.
"CHAT_MODEL": "@cf/meta/llama-3.3-70b-instruct-fp8-fast"
},
"d1_databases": [
{
"binding": "DB",
"database_name": "cv-tailor",
// Placeholder for local dev. Replace with the real ID from
// `wrangler d1 create cv-tailor` before deploying.
"database_id": "00000000-0000-4000-8000-0000c0ffee00",
"migrations_dir": "migrations"
}
],
"ai": {
"binding": "AI",
"remote": true
}
}