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Update app-backup2.py

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  1. app-backup2.py +127 -52
app-backup2.py CHANGED
@@ -38,54 +38,109 @@ with open(EVENTS_PATH, encoding="utf-8") as f:
38
  # 3. Helper functions
39
  # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
40
  def half_sine(xs, period, amp):
 
41
  phase = np.mod(xs - CENTER, period)
42
  y = amp * np.sin(np.pi * phase / period)
43
  y[y < 0] = 0
44
  return y
45
 
46
  def build_chart(start: int, end: int):
47
- xs = np.linspace(start, end, max(1000, (end-start)*4))
 
48
  fig = go.Figure()
49
 
50
- # draw half-sine โ€œtowersโ€
51
  for period in ORDERED_PERIODS:
52
- ys = half_sine(xs, period, AMPL[period])
53
- fig.add_trace(go.Scatter(
54
- x=xs, y=ys, mode="lines",
55
- line=dict(color=COLOR[period], width=1),
56
- hoverinfo="skip", showlegend=False))
 
 
 
 
 
 
 
 
 
 
57
 
58
- # annotate events with hover
 
 
 
 
 
 
 
 
 
 
 
59
  for year, evs in EVENTS.items():
60
  if start <= year <= end:
61
  cycle_name = evs[0]["cycle"]
62
- period = PERIOD_BY_CYCLE.get(cycle_name, 50)
63
- y = float(half_sine(np.array([year]), period, AMPL[period]))
64
- txt_en = "<br>".join(e["event_en"] for e in evs)
65
- txt_ko = "<br>".join(e["event_ko"] for e in evs)
 
66
  fig.add_trace(go.Scatter(
67
- x=[year], y=[y], mode="markers",
68
- marker=dict(color="white", size=6),
69
- customdata=[[cycle_name, txt_en, txt_ko]],
70
- hovertemplate=(
 
71
  "Year %{x} โ€ข %{customdata[0]} cycle"
72
  "<br>%{customdata[1]}"
73
  "<br>%{customdata[2]}<extra></extra>"
74
  ),
75
- showlegend=False
76
  ))
77
 
78
- # styling
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
  fig.update_layout(
80
- template="plotly_dark",
81
- height=450,
82
- margin=dict(t=30, l=40, r=40, b=40),
83
- hoverlabel=dict(bgcolor="#222", font_size=11)
 
 
84
  )
85
- fig.update_xaxes(title="Year", range=[start, end])
86
- fig.update_yaxes(title="Relative amplitude", showticklabels=False)
87
 
88
- summary = f"Range {start}-{end} | Events plotted: {sum(1 for y in EVENTS if start<=y<=end)}"
89
  return fig, summary
90
 
91
  # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
@@ -100,14 +155,17 @@ def chat_with_gpt(history, user_msg, chart_summary):
100
  messages = [{"role": "system", "content": BASE_PROMPT}]
101
  if chart_summary not in ("", "No chart yet."):
102
  messages.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"})
 
103
  for u, a in history:
104
- messages.extend([{"role":"user","content":u},{"role":"assistant","content":a}])
105
- messages.append({"role":"user","content":user_msg})
 
 
106
  res = openai.chat.completions.create(
107
- model="gpt-3.5-turbo",
108
- messages=messages,
109
- max_tokens=600,
110
- temperature=0.7
111
  )
112
  return res.choices[0].message.content.strip()
113
 
@@ -116,64 +174,81 @@ def chat_with_gpt(history, user_msg, chart_summary):
116
  # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
117
  def create_app():
118
  with gr.Blocks(theme=gr.themes.Soft()) as demo:
 
119
  gr.Markdown("## ๐Ÿ”ญ **CycleNavigator (Interactive)**")
 
120
  gr.Markdown(
121
  "<sub>"
122
- "K-Wave 50y โ€ข Business 9y โ€ข Finance 80y โ€ข Hegemony 250y"
 
 
 
123
  "</sub>"
124
  )
 
125
 
126
  chart_summary_state = gr.State(value="No chart yet.")
127
 
128
  with gr.Tabs():
129
- # โ”€โ”€ Chart Tab โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
130
  with gr.TabItem("Timeline Chart"):
131
  with gr.Row():
132
- start_year = gr.Number(label="Start Year", value=1775, precision=0)
133
- end_year = gr.Number(label="End Year", value=2025, precision=0)
134
  zoom_in = gr.Button("๐Ÿ” Zoom In")
135
  zoom_out = gr.Button("๐Ÿ”Ž Zoom Out")
136
 
137
- fig0, summ0 = build_chart(1775, 2025)
 
138
  plot = gr.Plot(value=fig0)
139
  chart_summary_state.value = summ0
140
 
 
141
  def refresh(s, e):
142
  fig, summ = build_chart(int(s), int(e))
143
  return fig, summ
144
- start_year.change(refresh, [start_year, end_year], [plot, chart_summary_state])
145
- end_year.change(refresh, [start_year, end_year], [plot, chart_summary_state])
 
 
146
 
 
147
  def zoom(s, e, factor):
148
- mid = (s+e)/2
149
- span = (e-s)*factor/2
150
- ns, ne = int(mid-span), int(mid+span)
151
  fig, summ = build_chart(ns, ne)
152
  return ns, ne, fig, summ
153
- zoom_in.click(lambda s,e: zoom(s,e,0.5),
154
- inputs=[start_year,end_year],
155
- outputs=[start_year,end_year,plot,chart_summary_state])
156
- zoom_out.click(lambda s,e: zoom(s,e,2.0),
157
- inputs=[start_year,end_year],
158
- outputs=[start_year,end_year,plot,chart_summary_state])
159
 
 
 
 
 
 
 
 
 
160
  gr.File(value=str(EVENTS_PATH), label="Download cycle_events.json")
161
 
162
- # โ”€โ”€ GPT Chat Tab โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
163
  with gr.TabItem("GPT Chat"):
164
- chatbot = gr.Chatbot(label="Assistant")
165
  user_input = gr.Textbox(lines=3, placeholder="๋ฉ”์‹œ์ง€๋ฅผ ์ž…๋ ฅํ•˜์„ธ์š”โ€ฆ")
166
- send_btn = gr.Button("Send")
167
 
168
  def respond(history, msg, summ):
169
  reply = chat_with_gpt(history, msg, summ)
170
  history.append((msg, reply))
171
  return history, gr.Textbox(value="")
172
- send_btn.click(respond, [chatbot, user_input, chart_summary_state],
 
 
173
  [chatbot, user_input])
174
- user_input.submit(respond, [chatbot, user_input, chart_summary_state],
 
175
  [chatbot, user_input])
176
  return demo
177
 
 
178
  if __name__ == "__main__":
179
  create_app().launch()
 
38
  # 3. Helper functions
39
  # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
40
  def half_sine(xs, period, amp):
41
+ """Half-sine โ€˜towerโ€™ with zero bottom floor."""
42
  phase = np.mod(xs - CENTER, period)
43
  y = amp * np.sin(np.pi * phase / period)
44
  y[y < 0] = 0
45
  return y
46
 
47
  def build_chart(start: int, end: int):
48
+ """Return (Plotly figure, summary string) for the requested year range."""
49
+ xs = np.linspace(start, end, max(1000, (end - start) * 4))
50
  fig = go.Figure()
51
 
52
+ # โ—ผ 1) Draw gradient half-sine โ€˜towersโ€™ (30 layers each, like old matplotlib version)
53
  for period in ORDERED_PERIODS:
54
+ base_amp = AMPL[period]
55
+ color = COLOR[period]
56
+
57
+ # โ”€โ”€ gradient layers (thin, semi-transparent) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
58
+ for frac in np.linspace(base_amp / 30, base_amp, 30):
59
+ ys = half_sine(xs, period, frac)
60
+ fig.add_trace(go.Scatter(
61
+ x = xs,
62
+ y = ys,
63
+ mode = "lines",
64
+ line = dict(color=color, width=0.8),
65
+ opacity = 0.6,
66
+ hoverinfo = "skip",
67
+ showlegend = False
68
+ ))
69
 
70
+ # โ”€โ”€ outer edge line (slightly thicker) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
71
+ ys = half_sine(xs, period, base_amp)
72
+ fig.add_trace(go.Scatter(
73
+ x = xs,
74
+ y = ys,
75
+ mode = "lines",
76
+ line = dict(color=color, width=1.6),
77
+ hoverinfo = "skip",
78
+ showlegend = False
79
+ ))
80
+
81
+ # โ—ผ 2) Event markers with bilingual hover text โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
82
  for year, evs in EVENTS.items():
83
  if start <= year <= end:
84
  cycle_name = evs[0]["cycle"]
85
+ period = PERIOD_BY_CYCLE.get(cycle_name, 50)
86
+ y_val = float(half_sine(np.array([year]), period, AMPL[period]))
87
+ txt_en = "<br>".join(e["event_en"] for e in evs)
88
+ txt_ko = "<br>".join(e["event_ko"] for e in evs)
89
+
90
  fig.add_trace(go.Scatter(
91
+ x = [year], y = [y_val],
92
+ mode = "markers",
93
+ marker = dict(color="white", size=6),
94
+ customdata = [[cycle_name, txt_en, txt_ko]],
95
+ hovertemplate = (
96
  "Year %{x} โ€ข %{customdata[0]} cycle"
97
  "<br>%{customdata[1]}"
98
  "<br>%{customdata[2]}<extra></extra>"
99
  ),
100
+ showlegend = False
101
  ))
102
 
103
+ # โ—ผ 3) Cosmetic touches: centre line, 250-yr arrow, background, axes โ”€โ”€โ”€โ”€
104
+ # centre alignment marker
105
+ fig.add_vline(
106
+ x = CENTER,
107
+ line_dash = "dash",
108
+ line_color = "white",
109
+ opacity = 0.6
110
+ )
111
+
112
+ # 250-year span arrow (โ†”) across the top of chart
113
+ arrow_y = AMPL[250] * 1.05
114
+ fig.add_annotation(
115
+ x = CENTER - 125, y = arrow_y,
116
+ ax = CENTER + 125, ay = arrow_y,
117
+ xref = "x", yref = "y", axref = "x", ayref = "y",
118
+ showarrow = True,
119
+ arrowhead = 3,
120
+ arrowsize = 1,
121
+ arrowwidth = 1.2,
122
+ arrowcolor = "white"
123
+ )
124
+ fig.add_annotation(
125
+ x = CENTER, y = arrow_y + 0.15,
126
+ text = "250 yr",
127
+ showarrow = False,
128
+ font = dict(color="white", size=10)
129
+ )
130
+
131
+ # global styling
132
  fig.update_layout(
133
+ template = "plotly_dark",
134
+ paper_bgcolor = "black",
135
+ plot_bgcolor = "black",
136
+ height = 450,
137
+ margin = dict(t=30, l=40, r=40, b=40),
138
+ hoverlabel = dict(bgcolor="#222", font_size=11)
139
  )
140
+ fig.update_xaxes(title="Year", range=[start, end], showgrid=False)
141
+ fig.update_yaxes(title="Relative amplitude", showticklabels=False, showgrid=False)
142
 
143
+ summary = f"Range {start}-{end} | Events plotted: {sum(1 for y in EVENTS if start <= y <= end)}"
144
  return fig, summary
145
 
146
  # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
 
155
  messages = [{"role": "system", "content": BASE_PROMPT}]
156
  if chart_summary not in ("", "No chart yet."):
157
  messages.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"})
158
+
159
  for u, a in history:
160
+ messages.extend([{"role": "user", "content": u},
161
+ {"role": "assistant", "content": a}])
162
+ messages.append({"role": "user", "content": user_msg})
163
+
164
  res = openai.chat.completions.create(
165
+ model = "gpt-3.5-turbo",
166
+ messages = messages,
167
+ max_tokens = 600,
168
+ temperature = 0.7
169
  )
170
  return res.choices[0].message.content.strip()
171
 
 
174
  # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
175
  def create_app():
176
  with gr.Blocks(theme=gr.themes.Soft()) as demo:
177
+ # โ”€โ”€ Title & subtitle
178
  gr.Markdown("## ๐Ÿ”ญ **CycleNavigator (Interactive)**")
179
+ gr.Markdown("### <sub>Interactive visual service delivering insights at a glance into the four major long cyclesโ€”9-year business cycle, 50-year Kondratiev wave, 80-year financial credit cycle, and 250-year hegemony cycleโ€”through dynamic charts and AI chat.</sub>")
180
  gr.Markdown(
181
  "<sub>"
182
+ "<b>Business 9y</b> (credit-investment business cycle) โ€ข "
183
+ "<b>K-Wave 50y</b> (long technological-industrial wave) โ€ข "
184
+ "<b>Finance 80y</b> (long credit-debt cycle) โ€ข "
185
+ "<b>Hegemony 250y</b> (rise & fall of global powers cycle)"
186
  "</sub>"
187
  )
188
+
189
 
190
  chart_summary_state = gr.State(value="No chart yet.")
191
 
192
  with gr.Tabs():
193
+ # โ”€โ”€ Tab 1: Timeline Chart โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
194
  with gr.TabItem("Timeline Chart"):
195
  with gr.Row():
196
+ start_year = gr.Number(label="Start Year", value=1500, precision=0)
197
+ end_year = gr.Number(label="End Year", value=2500, precision=0)
198
  zoom_in = gr.Button("๐Ÿ” Zoom In")
199
  zoom_out = gr.Button("๐Ÿ”Ž Zoom Out")
200
 
201
+ # initial plot
202
+ fig0, summ0 = build_chart(1500, 2500)
203
  plot = gr.Plot(value=fig0)
204
  chart_summary_state.value = summ0
205
 
206
+ # refresh on year change
207
  def refresh(s, e):
208
  fig, summ = build_chart(int(s), int(e))
209
  return fig, summ
210
+ start_year.change(refresh, [start_year, end_year],
211
+ [plot, chart_summary_state])
212
+ end_year.change(refresh, [start_year, end_year],
213
+ [plot, chart_summary_state])
214
 
215
+ # zoom helpers
216
  def zoom(s, e, factor):
217
+ mid = (s + e) / 2
218
+ span = (e - s) * factor / 2
219
+ ns, ne = int(mid - span), int(mid + span)
220
  fig, summ = build_chart(ns, ne)
221
  return ns, ne, fig, summ
 
 
 
 
 
 
222
 
223
+ zoom_in.click(lambda s, e: zoom(s, e, 0.5),
224
+ inputs = [start_year, end_year],
225
+ outputs = [start_year, end_year, plot, chart_summary_state])
226
+ zoom_out.click(lambda s, e: zoom(s, e, 2.0),
227
+ inputs = [start_year, end_year],
228
+ outputs = [start_year, end_year, plot, chart_summary_state])
229
+
230
+ # JSON download
231
  gr.File(value=str(EVENTS_PATH), label="Download cycle_events.json")
232
 
233
+ # โ”€โ”€ Tab 2: GPT Chat โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
234
  with gr.TabItem("GPT Chat"):
235
+ chatbot = gr.Chatbot(label="Assistant")
236
  user_input = gr.Textbox(lines=3, placeholder="๋ฉ”์‹œ์ง€๋ฅผ ์ž…๋ ฅํ•˜์„ธ์š”โ€ฆ")
237
+ send_btn = gr.Button("Send")
238
 
239
  def respond(history, msg, summ):
240
  reply = chat_with_gpt(history, msg, summ)
241
  history.append((msg, reply))
242
  return history, gr.Textbox(value="")
243
+
244
+ send_btn.click(respond,
245
+ [chatbot, user_input, chart_summary_state],
246
  [chatbot, user_input])
247
+ user_input.submit(respond,
248
+ [chatbot, user_input, chart_summary_state],
249
  [chatbot, user_input])
250
  return demo
251
 
252
+
253
  if __name__ == "__main__":
254
  create_app().launch()