app.py

# cycles_chat_app.py
import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr
import openai

# ──────────────────────────────────────────────────────────────
# 0. OpenAI key
# ──────────────────────────────────────────────────────────────
if "OPENAI_API_KEY" not in os.environ:
    os.environ["OPENAI_API_KEY"] = input("🔑 Enter your OpenAI API key: ").strip()
openai.api_key = os.environ["OPENAI_API_KEY"]

# ──────────────────────────────────────────────────────────────
# 1.  Wave-style chart utilities  (← NEW)
# ──────────────────────────────────────────────────────────────
CYCLES = {
    "Tech Cycle (50 yr)": 50,
    "Finance Cycle (80 yr)": 80,
    "Hegemony Cycle (250 yr)": 250,
}
COLOR_MAP = {50: "#ff3333", 80: "#ffcc00", 250: "#66ccff"}        # red / yellow / blue
AMPLITUDE_MAP = {50: 1.0, 80: 1.6, 250: 4.0}                     # taller tower for longer cycle
CENTER = 2025                                                    # alignment reference

def _half_sine(xs, period, amp):
    """positive half-sine wave, aligned so peak at CENTER, 0 elsewhere"""
    phase = np.mod(xs - CENTER, period)
    y = amp * np.sin(np.pi * phase / period)
    y[y < 0] = 0
    return y

def build_wave_chart_and_summary(start: int, end: int):
    """return (matplotlib figure, text summary)"""
    xs = np.linspace(start, end, (end - start) * 4)              # 4 pts/yr ⇒ smooth
    fig, ax = plt.subplots(figsize=(10, 3))
    summaries, align_years = [], None

    # draw many stacked half-sine lines for each cycle → “tower” 느낌
    for period in sorted(CYCLES.values()):
        col, amp = COLOR_MAP[period], AMPLITUDE_MAP[period]
        for frac in np.linspace(amp / 30, amp, 30):              # 30 concentric lines
            ax.plot(xs, _half_sine(xs, period, frac),
                    color=col, alpha=0.85, lw=0.6)

        years = [CENTER + n * period for n in range(
                 math.ceil((start - CENTER) / period),
                 math.floor((end   - CENTER) / period) + 1)]
        summaries.append(f"{period}-yr cycle peaks: {years}")
        align_years = set(years) if align_years is None else align_years & set(years)

    # cosmetic — black bg & white grid
    ax.set_facecolor("black"); fig.patch.set_facecolor("black")
    ax.set_xlim(start, end); ax.set_ylim(0, max(AMPLITUDE_MAP.values()) + .2)
    ax.set_xlabel("Year", color="white"); ax.set_ylabel("Relative Amplitude", color="white")
    ax.set_title("Technology · Finance · Hegemony Cycles", color="white", pad=20)
    ax.tick_params(colors="white");  [s.set_color("white") for s in ax.spines.values()]
    ax.grid(color="white", ls="--", lw=.3, alpha=.3)

    # vertical dashed line at alignment year + 250-yr span arrow
    ax.axvline(CENTER, color="white", ls="--", lw=1, alpha=.6)
    arrow_y = AMPLITUDE_MAP[250] * 1.05
    ax.annotate("", xy=(CENTER - 125, arrow_y), xytext=(CENTER + 125, arrow_y),
                arrowprops=dict(arrowstyle="<|-|>", color="white", lw=1.2))
    ax.text(CENTER, arrow_y + .15, "250 yr", color="white",
            ha="center", va="bottom", fontsize=10, fontweight="bold")

    summary = (f"Range {start}-{end}\n" +
               "\n".join(summaries) +
               f"\nAlignment year inside range: {', '.join(map(str, sorted(align_years))) if align_years else 'None'}")
    return fig, summary

# ──────────────────────────────────────────────────────────────
# 2.  GPT chat (차트 요약 → system 프롬프트에 자동 삽입)
# ──────────────────────────────────────────────────────────────
BASE_PROMPT = (
    "당신은 간결하고 정확한 한국어 어시스턴트입니다. "
    "사용자의 질문에 답할 때, 제공된 [Chart summary] 내용을 반드시 반영하세요."
)

def chat_with_gpt(history, user_msg, chart_summary):
    msgs = [{"role": "system", "content": BASE_PROMPT}]
    if chart_summary != "No chart yet.":        # 차트가 이미 그려졌다면
        msgs.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"})

    for u, a in history:
        msgs += [{"role": "user", "content": u}, {"role": "assistant", "content": a}]
    msgs.append({"role": "user", "content": user_msg})

    answer = openai.chat.completions.create(
        model="gpt-3.5-turbo", messages=msgs,
        max_tokens=600, temperature=0.7).choices[0].message.content.strip()
    return answer

# ──────────────────────────────────────────────────────────────
# 3.  Gradio UI
# ──────────────────────────────────────────────────────────────
with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("## 📊 Wave-style Cycle Timeline & 💬 GPT Chat")

    chart_summary_state = gr.State(value="No chart yet.")

    with gr.Tabs():
        # ▸ Tab 1 — Chart
        with gr.TabItem("Timeline Chart"):
            start_year = gr.Number(label="Start Year", value=1500)
            end_year   = gr.Number(label="End Year",   value=2500)

            fig0, summ0 = build_wave_chart_and_summary(1500, 2500)
            plot_out = gr.Plot(value=fig0)

            def refresh_chart(s, e):
                fig, summ = build_wave_chart_and_summary(int(s), int(e))
                return fig, summ

            start_year.change(refresh_chart, [start_year, end_year],
                              [plot_out, chart_summary_state])
            end_year.change(refresh_chart,   [start_year, end_year],
                              [plot_out, chart_summary_state])

        # ▸ Tab 2 — GPT Chat
        with gr.TabItem("GPT Chat"):
            chatbot = gr.Chatbot(label="Assistant")
            user_in = gr.Textbox(lines=3, placeholder="메시지를 입력하세요…")
            send_btn = gr.Button("Send", variant="primary")

            def respond(chat_hist, user_msg, summary):
                reply = chat_with_gpt(chat_hist, user_msg, summary)
                chat_hist.append((user_msg, reply))
                return chat_hist, gr.Textbox(value="", interactive=True)

            send_btn.click(respond, [chatbot, user_in, chart_summary_state],
                                       [chatbot, user_in])
            user_in.submit(respond, [chatbot, user_in, chart_summary_state],
                                       [chatbot, user_in])

if __name__ == "__main__":
    demo.launch()