import json
from datetime import datetime

import gradio as gr
from huggingface_hub import hf_hub_download

DATASET_REPO = "MatverseHub/WebX"
REMOTE_PATH = "metrics/metrics.json"


def load_metrics():
    local_path = hf_hub_download(repo_id=DATASET_REPO, repo_type="dataset", filename=REMOTE_PATH)
    with open(local_path, "r", encoding="utf-8") as f:
        payload = json.load(f)
    return payload


def render(payload):
    m = payload.get("metrics", {})
    updated_at = payload.get("updated_at") or "?"
    src = payload.get("source", {})

    lines = []
    lines.append(f"Updated: {updated_at}")
    if src:
        lines.append(f"Source: {src.get('repo','?')}@{src.get('commit','?')}")
    lines.append("")

    def fmt(key):
        v = m.get(key)
        return "?" if v is None else str(v)

    lines.append(f"Ω (omega): {fmt('omega')}")
    lines.append(f"Ψ (psi): {fmt('psi')}")
    lines.append(f"Θ (theta): {fmt('theta')}")
    lines.append(f"CVaR: {fmt('cvar')}")

    # Optional extras
    for extra in ["ccr", "viability", "antifragility", "epsilon", "energy", "tau", "delta_i"]:
        if extra in m:
            lines.append(f"{extra}: {m.get(extra)}")

    return "\n".join(lines)


with gr.Blocks(title="MatVerse WebX Dashboard") as demo:
    gr.Markdown(
        """
# MatVerse WebX Dashboard

This dashboard pulls **real metrics** from the WebX dataset (`MatverseHub/WebX`).

If it shows `?`, your dataset file is missing or malformed.
"""
    )

    out = gr.Textbox(label="Current Metrics", lines=12)

    def refresh():
        payload = load_metrics()
        return render(payload)

    btn = gr.Button("Refresh Metrics")
    btn.click(fn=refresh, outputs=out)

    # Auto-load on startup
    demo.load(fn=refresh, outputs=out)


demo.launch()