/**
 * ATS fidelity test fixtures — three ResumeData shapes for the Chromium vs
 * WeasyPrint PDF comparison (scripts/ats-fidelity.ts).
 *
 * These conform to the same `ResumeData` the React HTML templates consume
 * (src/components/builder/use-resume.ts), NOT `RenderableResume`. The
 * difference matters: `ResumeData` lifts `projects`/`certifications`/`languages`
 * to top-level typed arrays and uses `templateConfigs` (plural, keyed by
 * templateId), where `RenderableResume` nests them under `sections` and uses
 * a single `templateConfig`. The React templates (`*-doc.tsx`) read the
 * top-level shape, so the fixtures match what real users edit.
 *
 * Three fixtures cover the three ATS failure modes that distinguish Chromium
 * print-to-PDF from purpose-built PDF engines:
 *
 *   - STANDARD: the canonical happy path. Catches bulk character loss.
 *   - UNICODE:  non-ASCII names/locations + smart punctuation. Catches
 *               encoding round-trip errors and ligature/run fragmentation.
 *   - LONG:     3-4 pages of content forcing cross-page breaks. Catches the
 *               classic Chromium PDF bug where a word straddling a page
 *               boundary gets split into separate text runs.
 *
 * The string values here are the GROUND TRUTH the metrics check against
 * (scripts/ats-fidelity/metrics.ts). Don't paraphrase them — the metrics do
 * exact substring matching.
 */
import type { ResumeData } from "@/components/builder/use-resume";

/** Base shape shared by all three fixtures — every field is overridden per
 *  fixture; this just provides the boilerplate (`id`, empty containers). */
function base(overrides: Partial<ResumeData>): ResumeData {
  return {
    id: "fixture",
    templateId: "classic",
    firstName: "",
    lastName: "",
    headline: null,
    contact: { links: [] },
    summary: null,
    experience: [],
    education: [],
    skills: [],
    projects: [],
    certifications: [],
    languages: [],
    sections: {},
    templateConfigs: {},
    draftState: {},
    ...overrides,
  };
}

/**
 * STANDARD — the canonical senior-engineer profile.
 *
 * Mirrors src/lib/demo-resume.ts content (the same resume every gallery
 * visitor sees), restructured into the React template's `ResumeData` shape.
 * Pure ASCII, normal-length fields, two experience entries + one education.
 * This is the "everything should work" baseline.
 */
export const STANDARD: ResumeData = base({
  templateId: "classic",
  firstName: "Ada",
  lastName: "Lovelace",
  headline: "Senior Software Engineer",
  contact: {
    email: "ada@example.com",
    phone: "+1 (555) 123-4567",
    location: "San Francisco, CA",
    links: [
      { type: "github", url: "https://github.com/ada", label: "GitHub" },
      { type: "linkedin", url: "https://linkedin.com/in/ada", label: "LinkedIn" },
    ],
  },
  summary:
    "Senior engineer with 8+ years building distributed systems and developer platforms. Led the redesign of a payments pipeline processing $2B annually, cutting latency 40% and cost 30%. Passionate about systems that scale cleanly and teams that ship calmly.",
  experience: [
    {
      id: "e1",
      role: "Senior Software Engineer",
      company: "Anthropic",
      location: "San Francisco",
      startDate: "2023",
      endDate: "Present",
      bullets: [
        "Led the design of a streaming inference pipeline serving 1M+ daily requests at p99 < 80ms.",
        "Cut inference cost 38% by re-architecting the model router on a tiered GPU fleet.",
        "Mentored 4 engineers; established the team's on-call runbooks and incident review process.",
      ],
    },
    {
      id: "e2",
      role: "Software Engineer",
      company: "Stripe",
      location: "Remote",
      startDate: "2020",
      endDate: "2023",
      bullets: [
        "Shipped the payment-intents retry engine, reducing failed-charge leakage by 22%.",
        "Owned the idempotency layer across 4 services handling $2B+ in annual volume.",
      ],
    },
  ],
  education: [
    {
      id: "ed1",
      institution: "Stanford University",
      degree: "B.S. Computer Science",
      field: "Systems & AI",
      startDate: "2012",
      endDate: "2016",
    },
  ],
  skills: [
    { category: "Languages", items: ["TypeScript", "Go", "Python", "Rust"] },
    { category: "Infrastructure", items: ["Postgres", "Kubernetes", "Terraform", "Redis"] },
    { category: "Domains", items: ["Distributed Systems", "LLM Infra", "Payments"] },
  ],
  projects: [
    {
      id: "p1",
      name: "OpenMetrics",
      description: "Open-source Prometheus-compatible metrics aggregator.",
      company: "Side Project",
      startDate: "2022",
      endDate: "Present",
      bullets: ["1.2k GitHub stars; adopted by 3 mid-size companies."],
    },
  ],
  certifications: [{ id: "c1", name: "AWS Solutions Architect — Professional" }],
  languages: [
    { id: "l1", name: "English", level: "Native" },
    { id: "l2", name: "Mandarin", level: "Professional" },
  ],
});

/**
 * UNICODE — non-ASCII names, smart punctuation, em-dashes.
 *
 * The string values the metrics check are in `UNICODE_TOKENS` below — keep
 * them in sync with the fixture body if you edit either.
 *
 * Catches:
 *   - UTF-8 round-trip errors (the most common silent PDF failure)
 *   - Smart-quote and em-dash normalization (some PDFs replace these with ?)
 *   - Ligature run fragmentation on accented characters
 */
export const UNICODE: ResumeData = base({
  templateId: "classic",
  firstName: "José",
  lastName: "Müller",
  headline: "Ingénieur Logiciel Senior",
  contact: {
    email: "jose.muller@example.com",
    phone: "+41 44 555 12 34",
    location: "Zürich, Switzerland",
    links: [{ type: "website", url: "https://jose-muller.example", label: "Portfolio" }],
  },
  summary:
    "Ingénieur logiciel avec 8 ans d'expérience en systèmes distribués — “the right tool for the job” — spécialisé dans les plateformes à fort trafic.",
  experience: [
    {
      id: "e1",
      role: "Ingénieur Principal",
      company: "Müller GmbH",
      location: "Zürich",
      startDate: "2020",
      endDate: "Présent",
      bullets: [
        "Conception d'un pipeline traitant 1M+ requêtes/jour — latence p99 < 80ms.",
        "Réduction des coûts d'infrastructure de 38% via une architecture tiered GPU.",
        "Mentorat de 4 ingénieurs ; mise en place des runbooks d'astreinte.",
      ],
    },
  ],
  education: [
    {
      id: "ed1",
      institution: "ETH Zürich",
      degree: "M.Sc. Informatik",
      field: "Systèmes distribués",
      startDate: "2012",
      endDate: "2016",
    },
  ],
  skills: [
    { category: "Langues de programmation", items: ["TypeScript", "Go", "Python"] },
    { category: "Infrastructure", items: ["Postgres", "Kubernetes", "Terraform"] },
  ],
  projects: [
    {
      id: "p1",
      name: "ÜberMetrics",
      description: "Agrégateur de métriques open-source — compatible Prometheus.",
      startDate: "2022",
      endDate: "Présent",
      bullets: ["1.2k étoiles GitHub ; adopté par 3 entreprises."],
    },
  ],
  certifications: [{ id: "c1", name: "AWS Solutions Architect — Professional" }],
  languages: [
    { id: "l1", name: "Français", level: "Natif" },
    { id: "l2", name: "Deutsch", level: "Courant" },
    { id: "l3", name: "English", level: "Full Professional" },
  ],
});

/** Tokens the metrics must find verbatim in the UNICODE fixture's extracted
 *  text. If any of these is missing or mangled, Unicode fidelity failed.
 *  Keep in sync with `UNICODE` above. */
export const UNICODE_TOKENS: string[] = [
  "José",
  "Müller",
  "Zürich",
  "—", // em-dash
  "“", // left smart quote
  "”", // right smart quote
  "Ingénieur",
  "d'expérience",
  "Présent",
];

/** A unique marker prepended to the cross-page test bullet so the metrics
 *  can locate it in extracted text even after Chromium has fragmented it.
 *  Must not appear anywhere else in any fixture. Declared before `longContent`
 *  because the LONG fixture embeds it. */
export const CROSS_PAGE_MARKER = "CROSSPAGE-X9K2";

/**
 * LONG — 3-4 pages of content forcing cross-page breaks.
 *
 * Catches the classic Chromium PDF bug: a bullet that straddles a page
 * boundary gets split into two text runs, and `pdftotext` reads them as
 * separate fragments. The metrics check whether a specific long bullet
 * (marked with CROSS_PAGE_MARKER) survives extraction as one continuous
 * string.
 *
 * Built by replicating STANDARD's content 6× — enough to overflow 2 A4
 * pages reliably across all five templates (page capacity varies by
 * template density; 6× guarantees overflow even in the densest).
 */
function longContent(): ResumeData {
  const baseExperience = STANDARD.experience[0];
  const longExperience = Array.from({ length: 6 }, (_, i) => ({
    ...baseExperience,
    id: `e${i + 1}`,
    company: `${baseExperience.company} (Tenure ${i + 1})`,
    bullets: [
      // A long bullet — the kind most likely to straddle a page break. The
      // CROSS_PAGE_MARKER prefix lets metrics.ts locate this specific bullet
      // in extracted text even if Chromium splits it across text runs/pages.
      `${CROSS_PAGE_MARKER} Led a multi-quarter initiative to redesign the request pipeline from ingress through the model router, eliminating three legacy proxies, consolidating four telemetry systems into one, and reducing end-to-end p99 latency from 240ms to 78ms while cutting monthly infrastructure spend by $340K and improving developer velocity measurably across the org.`,
      ...baseExperience.bullets,
    ],
  }));

  return base({
    templateId: "classic",
    firstName: STANDARD.firstName,
    lastName: STANDARD.lastName,
    headline: STANDARD.headline,
    contact: STANDARD.contact,
    summary: STANDARD.summary,
    experience: longExperience,
    education: [...STANDARD.education, ...STANDARD.education],
    skills: [
      ...STANDARD.skills,
      { category: "Frontend", items: ["React", "Next.js", "Tailwind", "Vite"] },
      { category: "Cloud", items: ["AWS", "GCP", "Cloudflare", "Fly.io"] },
    ],
    projects: [...STANDARD.projects, ...STANDARD.projects, ...STANDARD.projects],
    certifications: [
      ...STANDARD.certifications,
      { id: "c2", name: "Certified Kubernetes Administrator (CKA)" },
      { id: "c3", name: "Google Cloud Professional Cloud Architect" },
    ],
    languages: STANDARD.languages,
  });
}

export const LONG: ResumeData = longContent();

/** All fixtures keyed by name for iteration in the runner. */
export const FIXTURES: Record<string, ResumeData> = {
  standard: STANDARD,
  unicode: UNICODE,
  long: LONG,
};