"""Content model for the KRAZYKITTY // NEURAL LAB dashboard."""

from __future__ import annotations

from dataclasses import dataclass
from html import escape


@dataclass(frozen=True)
class Project:
    key: str
    eyebrow: str
    title: str
    state: str
    state_class: str
    summary: str
    evidence: tuple[str, ...]
    next_gate: str
    url: str
    link_label: str


PROJECTS: dict[str, Project] = {
    "KittyLM": Project(
        key="KittyLM",
        eyebrow="LANGUAGE MODEL RESEARCH",
        title="KittyLM",
        state="VERIFIED PUBLIC",
        state_class="verified",
        summary="A modular language-model research platform presented without weights, datasets, or inflated capability claims.",
        evidence=(
            "Public Static Space verified on the KrazyKitty account",
            "Published README, HTML, and mark match the reviewed local artifacts",
            "No model weights or approved KittyLM training dataset are claimed",
        ),
        next_gate="Future model artifacts require trained checkpoints, provenance, evaluation, limitations, and explicit release approval.",
        url="https://huggingface.co/spaces/KrazyKitty/KittyLM-Research",
        link_label="Open the verified KittyLM Space",
    ),
    "DATA LAB": Project(
        key="DATA LAB",
        eyebrow="DATASET DOCUMENTATION RESEARCH",
        title="KRAZYKITTY // DATA LAB",
        state="VERIFIED PUBLIC",
        state_class="verified",
        summary="Dataset-card practice, source provenance, licensing and privacy gates, deterministic preprocessing, and evaluation-resource governance.",
        evidence=(
            "Public dataset repository verified on the KrazyKitty account",
            "Manifest validator and approval-gated preprocessing reference are published and tested",
            "No dataset rows, corpus files, or invented release are included",
        ),
        next_gate="Any future dataset release requires source-level permissions, consent and privacy review, quality evidence, and a versioned provenance manifest.",
        url="https://huggingface.co/datasets/KrazyKitty/Data-Lab",
        link_label="Open the verified DATA LAB repository",
    ),
    "NEKO//AGENT": Project(
        key="NEKO//AGENT",
        eyebrow="AGENT SYSTEMS RESEARCH",
        title="NEKO//AGENT",
        state="VERIFIED PUBLIC",
        state_class="verified",
        summary="Research into tool use, retrieval, bounded task execution, assistant architecture, reproducible evaluation, and sandboxed safety.",
        evidence=(
            "Public research Space verified on the KrazyKitty account",
            "Trace schemas and deterministic evaluator are published and tested",
            "No live autonomous runtime, model endpoint, or fake demo is presented",
        ),
        next_gate="The interactive demo evaluates supplied trace records only; a live agent still requires separately verified sandbox enforcement.",
        url="https://huggingface.co/spaces/KrazyKitty/NEKO-Agent-Research",
        link_label="Open the verified NEKO//AGENT Space",
    ),
    "Research Collections": Project(
        key="Research Collections",
        eyebrow="CURATED RESEARCH LIBRARY",
        title="Research Collections",
        state="VERIFIED PUBLIC",
        state_class="verified",
        summary="Four evidence-linked reading and artifact tracks for transformers, training, data provenance and evaluation, and agent systems.",
        evidence=(
            "Four public Collections are verified on the KrazyKitty account",
            "Each Collection includes its related KrazyKitty research artifact",
            "Resources are curated for relevance, not endorsed for unrestricted reuse",
        ),
        next_gate="Revalidate external cards, licences, access restrictions, and relevance before changing membership.",
        url="https://huggingface.co/KrazyKitty/collections",
        link_label="Open KrazyKitty's verified Collection index",
    ),
}


def project_choices() -> list[str]:
    return list(PROJECTS)


def render_project(project_key: str) -> str:
    project = PROJECTS.get(project_key, PROJECTS["KittyLM"])
    evidence = "".join(f"<li>{escape(item)}</li>" for item in project.evidence)
    return f"""
    <article class="project-detail" aria-live="polite">
      <div class="detail-topline">
        <span class="detail-eyebrow">{escape(project.eyebrow)}</span>
        <span class="state-badge {escape(project.state_class)}">{escape(project.state)}</span>
      </div>
      <h2>{escape(project.title)}</h2>
      <p class="detail-summary">{escape(project.summary)}</p>
      <h3>Current evidence</h3>
      <ul>{evidence}</ul>
      <div class="next-gate"><strong>Next gate</strong><p>{escape(project.next_gate)}</p></div>
      <a class="project-link" href="{escape(project.url)}" target="_blank" rel="noreferrer">{escape(project.link_label)} <span aria-hidden="true">↗</span></a>
    </article>
    """