Delete app-backup.py

app-backup.py

@@ -1,188 +0,0 @@
-# cycles_chat_app.py  —  CycleNavigator (4-Cycle 버전)
-import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr
-import openai
-
-# ──────────────────────────────────────────────────────────────
-# 0. OpenAI API 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
-# ──────────────────────────────────────────────────────────────
-CYCLES = {
-    "K-Wave (50 yr)":               50,   # 장기 콘드라티에프 파동
-    "Business Cycle (Juglar 9 yr)":  9,   # 설비투자·신용 경기순환
-    "Finance Cycle (80 yr)":        80,   # 신용·금융 장주기
-    "Hegemony Cycle (250 yr)":     250,   # 패권 흥망
-}
-COLOR_MAP     = {50: "#ff3333",  9: "#66ff66", 80: "#ffcc00", 250: "#66ccff"}
-AMPLITUDE_MAP = {50: 1.0,        9: 0.6,      80: 1.6,        250: 4.0}
-CENTER = 2025  # alignment reference
-
-def _half_sine(xs, period, amp):
-    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):
-    xs = np.linspace(start, end, (end - start) * 4)
-    fig, ax = plt.subplots(figsize=(14, 6))
-    fig.subplots_adjust(top=0.9)
-
-    summaries, align_years, all_year_labels = [], None, set()
-
-    for period in sorted(set(CYCLES.values())):  # iterate periods in ascending order
-        col, amp = COLOR_MAP[period], AMPLITUDE_MAP[period]
-        for frac in np.linspace(amp / 30, amp, 30):
-            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)]
-        name = [k for k, v in CYCLES.items() if v == period][0]
-        summaries.append(f"{name} peaks: {years}")
-        align_years = set(years) if align_years is None else align_years & set(years)
-        all_year_labels.update(years)
-
-    # small baseline labels
-    for y in sorted(all_year_labels):
-        if start <= y <= end:
-            ax.text(y, -0.1, str(y), ha="center", va="top",
-                    fontsize=6, color="white", rotation=90)
-
-    ax.set_facecolor("black"); fig.patch.set_facecolor("black")
-    ax.set_xlim(start, end)
-    ax.set_ylim(-0.2, max(AMPLITUDE_MAP.values()) + 0.2)
-    ax.set_xlabel("Year", color="white")
-    ax.set_ylabel("Relative Amplitude", color="white")
-    ax.tick_params(colors="white")
-    for spine in ax.spines.values():
-        spine.set_color("white")
-    ax.grid(axis="y", color="white", ls="--", lw=.3, alpha=.3)
-
-    # alignment marker
-    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)
-               + "\nAlignment year inside range: "
-               + (", ".join(map(str, sorted(align_years))) if align_years else "None"))
-    return fig, summary
-
-# ──────────────────────────────────────────────────────────────
-# 2. GPT chat helper
-# ──────────────────────────────────────────────────────────────
-BASE_PROMPT = (
-    "You are a concise and accurate Korean assistant. "
-    "Always incorporate the provided [Chart summary] when replying."
-)
-
-def chat_with_gpt(history, user_msg, chart_summary):
-    msgs = [{"role": "system", "content": BASE_PROMPT}]
-    if chart_summary != "No chart yet.":
-        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})
-
-    reply = openai.chat.completions.create(
-        model="gpt-3.5-turbo",
-        messages=msgs,
-        max_tokens=600,
-        temperature=0.7
-    ).choices[0].message.content.strip()
-    return reply
-
-# ──────────────────────────────────────────────────────────────
-# 3. Gradio UI
-# ──────────────────────────────────────────────────────────────
-custom_css = """
-#wave_plot {width: 100% !important;}
-#wave_plot canvas {width: 100% !important; height: auto !important;}
-"""
-
-with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
-    # ── 서비스 제목 ────────────────────────────────────────────
-    gr.Markdown("## 🔭 **CycleNavigator**")
-
-    # ── 네 사이클 간단 설명 (작은 글씨) ────────────────────────
-    gr.Markdown(
-        "<sub>"
-
-        "**Business (Juglar 9 yr)** – Credit-driven capital investment booms & busts. "
-        "**K-Wave (50 yr)** – Long-wave industrial & technological shifts. "        
-        "**Finance (80 yr)** – Extended credit cycles culminating in crises. "
-        "**Hegemony (250 yr)** – Rise & decline of world powers."
-        "</sub>"
-    )
-
-    chart_summary_state = gr.State(value="No chart yet.")
-
-    with gr.Tabs():
-        # ▸ Tab 1 — Timeline Chart
-        with gr.TabItem("Timeline Chart"):
-            fig0, summ0 = build_wave_chart_and_summary(1500, 2500)
-            plot_out = gr.Plot(value=fig0, elem_id="wave_plot")
-
-            with gr.Row():
-                start_year = gr.Number(label="Start Year", value=1500)
-                end_year   = gr.Number(label="End Year",   value=2500)
-                zoom_in_btn  = gr.Button("🔍 Zoom In")
-                zoom_out_btn = gr.Button("🔎 Zoom Out")
-
-            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])
-
-            def zoom(s, e, factor):
-                mid  = (s + e) / 2
-                span = (e - s) * factor / 2
-                new_s, new_e = int(mid - span), int(mid + span)
-                fig, summ = build_wave_chart_and_summary(new_s, new_e)
-                return new_s, new_e, fig, summ
-
-            zoom_in_btn.click(
-                lambda s, e: zoom(s, e, 0.5),
-                inputs=[start_year, end_year],
-                outputs=[start_year, end_year, plot_out, chart_summary_state],
-            )
-            zoom_out_btn.click(
-                lambda s, e: zoom(s, e, 2.0),
-                inputs=[start_year, end_year],
-                outputs=[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):
-                ans = chat_with_gpt(chat_hist, user_msg, summary)
-                chat_hist.append((user_msg, ans))
-                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()