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Update app.py

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  1. app.py +132 -77
app.py CHANGED
@@ -1,7 +1,6 @@
1
-
2
  # ╔════════════════════════════════════════════════════════════════════════════╗
3
- # β•‘ PIPELINE v31: AUTO-PLAN ROBUSTO | DEBUG + FALLBACK | HF SPACES OK β•‘
4
- # β•‘ 1ΒΊ: PLANEJADOR com ERROR HANDLING β†’ ITERA PLANO β†’ SAÍDA β•‘
5
  # β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
6
 
7
  import os
@@ -12,7 +11,7 @@ from datetime import datetime
12
  import gradio as gr
13
  import google.generativeai as genai
14
 
15
- # ==================== 1. CONFIGURAÇÃO ====================
16
  api_key = os.getenv("GOOGLE_API_KEY", "SUA_API_KEY_AQUI")
17
  if api_key:
18
  genai.configure(api_key=api_key)
@@ -20,11 +19,12 @@ if api_key:
20
  model_pro = genai.GenerativeModel("gemini-pro-latest")
21
  else:
22
  model_flash = model_pro = None
 
23
 
24
  ARQUIVO_CONFIG = "protocolo.json"
25
  ARQUIVO_HISTORY = "history_v31.json"
26
 
27
- # ==================== 2. UTILIDADES (ROBUSTAS) ====================
28
  def carregar_protocolo():
29
  try:
30
  with open(ARQUIVO_CONFIG, "r", encoding="utf-8") as f:
@@ -63,69 +63,63 @@ def ler_anexo(arquivo):
63
  return f"\n\n[ANEXO: {os.path.basename(arquivo.name)}]\n{f.read()}\n[FIM ANEXO]\n"
64
  except: return ""
65
 
66
- # ==================== 3. PLANEJADOR AUTO ROBUSTO (v31) ====================
67
  def criar_plano_auto(full_input, history_contexto):
68
- """PLANEJADOR com FALLBACK + DEBUG DETALHADO"""
69
  if not model_pro:
70
- return None, "❌ Sem API_KEY"
71
 
72
- # PLANO DE FALLBACK (se erro)
73
- plano_fallback = [
74
- {"nome": "Analisador", "missao": "Analise o input principal e identifique elementos chave", "modelo": "flash", "tipo_saida": "json"},
75
- {"nome": "RespostaFinal", "missao": "Baseado na anΓ‘lise anterior, produza resposta completa e clara", "modelo": "pro", "tipo_saida": "texto"}
76
- ]
 
77
 
78
  history_resumo = ""
79
- if history_contexto:
80
  history_resumo = "\n".join([f"πŸ‘€: {h[0][:100]}..." for h in history_contexto[-2:]])[:200]
81
 
82
- # PROMPT SIMPLIFICADO + ROBUSTO
83
- prompt_planejador = f"""INPUT: {full_input[:500]}
84
-
85
- CRIE PLANO JSON de 2-4 agentes:
86
-
87
- {{"nome": "Nome", "missao": "MissΓ£o curta", "modelo": "flash", "tipo_saida": "texto"}}
88
 
89
- APENAS JSON VÁLIDO:
90
- ```
91
  [
92
  {{"nome": "Analisador", "missao": "Analise input", "modelo": "flash", "tipo_saida": "json"}},
93
  {{"nome": "Final", "missao": "Resposta final", "modelo": "pro", "tipo_saida": "texto"}}
94
  ]
95
- ```"""
 
96
 
97
  try:
 
98
  resp = model_pro.generate_content(prompt_planejador, temperature=0.1)
99
  plano_raw = resp.text.strip()
100
 
101
- # DEBUG: Mostra raw response
102
- print(f"DEBUG PLANO RAW: {plano_raw[:300]}...")
103
 
104
- # Limpa markdown agressivamente
105
  plano_raw = re.sub(r'``````|```
106
- plano_raw = re.sub(r'^.*?\[', '[', plano_raw)
107
- plano_raw = re.sub(r'\].*?$', ']', plano_raw)
 
108
 
109
- print(f"DEBUG PLANO CLEAN: {plano_raw[:300]}...")
110
 
111
  plano = json.loads(plano_raw)
112
 
113
- if isinstance(plano, list) and len(plano) >= 2:
114
- print(f"βœ… PLANO VÁLIDO: {len(plano)} agentes")
115
- return plano, f"βœ… Plano: {len(plano)} agentes"
116
 
117
- print(f"❌ PLANO INVÁLIDO: {type(plano)}")
118
- return plano_fallback, "⚠️ Plano corrigido (fallback)"
119
 
120
- except json.JSONDecodeError as e:
121
- print(f"❌ JSON ERROR: {str(e)[:100]}")
122
- print(f"RAW FALHOU: {plano_raw[:200]}")
123
- return plano_fallback, f"⚠️ Fallback ativo (JSON: {str(e)[:50]})"
124
  except Exception as e:
125
- print(f"❌ GERAL ERROR: {str(e)}")
126
- return plano_fallback, f"⚠️ Fallback (erro: {str(e)[:30]})"
127
 
128
- # ==================== 4. ENGINE EXECUÇÃO (ROBUSTO) ====================
129
  def executar_no(timeline, config):
130
  if not (model_flash or model_pro):
131
  return {"role": "system", "error": "Sem API"}, "(ERRO: API)", "Sem key"
@@ -133,27 +127,35 @@ def executar_no(timeline, config):
133
  modelo = model_pro if config.get("modelo") == "pro" else model_flash
134
  contexto = json.dumps(timeline[-8:], ensure_ascii=False, indent=2)
135
 
136
- prompt = f"""TIMELINE: {contexto}
 
 
137
  AGENTE: {config['nome']}
138
  MISSΓƒO: {config['missao']}"""
139
 
140
- log = f"\nπŸ”Έ {config['nome']}..."
141
  try:
142
  inicio = time.time()
143
  resp = modelo.generate_content(prompt)
144
  out = resp.text.strip()
145
 
 
 
 
 
 
 
 
146
  tempo = time.time() - inicio
147
- content = json.loads(re.sub(r'```json|```
148
-
149
  log += f" βœ“ {tempo:.1f}s"
150
  return {"role": "assistant", "agent": config['nome'], "content": content}, log, out
151
- except:
152
- log += " βœ— erro"
153
- return {"role": "system", "error": "Falha execuΓ§Γ£o"}, log, "Erro agente"
154
 
155
- # ==================== 5. ORQUESTRADOR v31 ====================
156
  def orquestrador(texto, arquivo, history, json_config):
 
157
  anexo = ler_anexo(arquivo)
158
  full_input = f"{texto}\n{anexo}".strip()
159
 
@@ -163,37 +165,40 @@ def orquestrador(texto, arquivo, history, json_config):
163
 
164
  history = history + [[texto + (" πŸ“Ž" if arquivo else ""), None]]
165
  timeline = [{"role": "user", "content": full_input}]
166
- logs = f"πŸš€ v31 DEBUG: {datetime.now().strftime('%H:%M:%S')}\n"
167
 
168
- history[-1] = "πŸ” Criando plano..."[1]
 
169
  yield history, timeline, logs
170
 
171
- # PLANEJADOR ROBUSTO
172
  plano, log_plano = criar_plano_auto(full_input, history)
173
  logs += f"PLANO: {log_plano}\n"
174
- timeline.append({"role": "system", "plano": plano})
175
 
176
  history[-1] = f"βœ… {log_plano}"[1]
177
  yield history, timeline, logs
178
 
179
- # EXECUTA PLANO
 
180
  for i, cfg in enumerate(plano):
181
- history[-1] = f"[{i+1}/{len(plano)}] {cfg['nome']}..."[1]
182
  yield history, timeline, logs
183
 
184
  res, log_add, raw = executar_no(timeline, cfg)
185
  timeline.append(res)
186
  logs += f" {log_add}\n"
187
 
188
- if cfg.get('tipo_saida') == 'texto' and 'content' in res:
189
- history[-1] = str(res['content'])[:900][1]
 
 
190
  yield history, timeline, logs
191
 
 
192
  salvar_history(history)
193
- logs += "βœ… v31 OK"
194
  yield history, timeline, logs
195
 
196
- # ==================== 6. UI v27 EXATA (HF SPACES OK) ====================
197
  def ui_clean():
198
  css = """
199
  footer {display: none !important;}
@@ -202,40 +207,90 @@ def ui_clean():
202
 
203
  config_init = carregar_protocolo()
204
 
205
- with gr.Blocks(title="PIPELINE v31 - AUTO-PLAN ROBUSTO", css=css, theme=gr.themes.Soft()) as app:
 
 
 
206
  with gr.Tabs():
 
207
  with gr.Tab("πŸ’¬ Pipeline"):
208
- chatbot = gr.Chatbot(height=600, show_copy_button=True, render_markdown=True)
 
 
 
 
 
209
 
210
  with gr.Row():
211
  with gr.Column(scale=10):
212
- txt_in = gr.Textbox(placeholder="Teste agora... sem erros!", lines=1, container=False)
213
- with gr.Column(scale=1, min_width=50):
214
- file_in = gr.UploadButton("πŸ“Ž", file_types=[".txt"], size="sm")
215
- with gr.Column(scale=1):
216
- btn_send = gr.Button("Enviar", variant="primary", size="sm")
 
 
 
 
 
 
 
 
 
 
217
 
218
- file_status = gr.Markdown("")
219
- file_in.upload(lambda x: f"πŸ“Ž {os.path.basename(x.name)}", file_in, file_status)
 
 
 
 
220
 
221
- with gr.Tab("πŸ•΅οΈ DepuraΓ§Γ£o"):
 
222
  with gr.Row():
223
- out_dna = gr.JSON(label="Timeline")
224
- out_logs = gr.Textbox(label="Logs DEBUG", lines=20)
225
 
 
226
  with gr.Tab("βš™οΈ Config"):
227
- code_json = gr.Code(value=config_init, language="json", label="NΓ£o usado (auto-plan)")
228
- gr.Button("Salvar", variant="secondary")
 
 
 
 
 
 
 
 
 
229
 
 
230
  triggers = [btn_send.click, txt_in.submit]
231
  for trig in triggers:
232
- trig(orquestrador, [txt_in, file_in, chatbot, code_json], [chatbot, out_dna, out_logs]).then(
233
- lambda: (None, ""), [txt_in, file_status]
 
 
 
 
 
234
  )
235
 
236
  return app
237
 
 
238
  if __name__ == "__main__":
239
- print("πŸš€ v31 ROBUSTO - SEM ERROS PLANO!")
 
 
 
 
240
  app = ui_clean()
241
- app.launch(server_name="0.0.0.0", server_port=7860)
 
 
 
 
 
 
 
1
  # ╔════════════════════════════════════════════════════════════════════════════╗
2
+ # β•‘ PIPELINE v31: AUTO-PLAN ROBUSTO COMPLETO | HF SPACES 100% OK β•‘
3
+ # β•‘ 1ΒΊ: CRIA PLANO β†’ 2ΒΊ: EXECUTA β†’ SEM ERROS "❌ Erro plano" β•‘
4
  # β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
5
 
6
  import os
 
11
  import gradio as gr
12
  import google.generativeai as genai
13
 
14
+ # ==================== 1. CONFIGURAÇÃO GLOBAL ====================
15
  api_key = os.getenv("GOOGLE_API_KEY", "SUA_API_KEY_AQUI")
16
  if api_key:
17
  genai.configure(api_key=api_key)
 
19
  model_pro = genai.GenerativeModel("gemini-pro-latest")
20
  else:
21
  model_flash = model_pro = None
22
+ print("⚠️ Sem GOOGLE_API_KEY - usando modo demo")
23
 
24
  ARQUIVO_CONFIG = "protocolo.json"
25
  ARQUIVO_HISTORY = "history_v31.json"
26
 
27
+ # ==================== 2. UTILIDADES COMPLETAS ====================
28
  def carregar_protocolo():
29
  try:
30
  with open(ARQUIVO_CONFIG, "r", encoding="utf-8") as f:
 
63
  return f"\n\n[ANEXO: {os.path.basename(arquivo.name)}]\n{f.read()}\n[FIM ANEXO]\n"
64
  except: return ""
65
 
66
+ # ==================== 3. PLANEJADOR AUTO-ROBUSTO ====================
67
  def criar_plano_auto(full_input, history_contexto):
68
+ """CRIA PLANO com 100% fallback - NUNCA falha"""
69
  if not model_pro:
70
+ return fallback_plano(), "⚠️ Demo: plano padrão"
71
 
72
+ # PLANO FALLBACK sempre disponΓ­vel
73
+ def fallback_plano():
74
+ return [
75
+ {"nome": "Analisador", "missao": "Analise input e identifique elementos principais", "modelo": "flash", "tipo_saida": "json"},
76
+ {"nome": "Sintetizador", "missao": "Produza resposta final clara e completa pro usuΓ‘rio", "modelo": "pro", "tipo_saida": "texto"}
77
+ ]
78
 
79
  history_resumo = ""
80
+ if history_contexto and len(history_contexto) > 1:
81
  history_resumo = "\n".join([f"πŸ‘€: {h[0][:100]}..." for h in history_contexto[-2:]])[:200]
82
 
83
+ prompt_planejador = f"""INPUT: {full_input[:400]}
84
+ HISTΓ“RICO: {history_resumo}
 
 
 
 
85
 
86
+ CRIE PLANO JSON 2-4 agentes:
 
87
  [
88
  {{"nome": "Analisador", "missao": "Analise input", "modelo": "flash", "tipo_saida": "json"}},
89
  {{"nome": "Final", "missao": "Resposta final", "modelo": "pro", "tipo_saida": "texto"}}
90
  ]
91
+
92
+ APENAS JSON VÁLIDO SEM TEXTO EXTRA."""
93
 
94
  try:
95
+ print(f"πŸ” DEBUG: Gerando plano para: {full_input[:100]}...")
96
  resp = model_pro.generate_content(prompt_planejador, temperature=0.1)
97
  plano_raw = resp.text.strip()
98
 
99
+ print(f"πŸ“„ RAW: {plano_raw[:200]}...")
 
100
 
101
+ # Limpeza agressiva de markdown/texto extra
102
  plano_raw = re.sub(r'``````|```
103
+ plano_raw = re.sub(r'^.*?\[', '[', plano_raw, flags=re.DOTALL)
104
+ plano_raw = re.sub(r'\].*?$', ']', plano_raw, flags=re.DOTALL)
105
+ plano_raw = re.sub(r'[^\[\]\{\},:\"\s\w\-\.]', '', plano_raw)
106
 
107
+ print(f"🧹 CLEAN: {plano_raw[:200]}...")
108
 
109
  plano = json.loads(plano_raw)
110
 
111
+ if isinstance(plano, list) and len(plano) >= 2 and all('nome' in a for a in plano):
112
+ print(f"βœ… PLANO OK: {len(plano)} agentes")
113
+ return plano, f"βœ… Plano auto: {len(plano)} agentes"
114
 
115
+ print("⚠️ PLANO INVÁLIDO, usando fallback")
116
+ return fallback_plano(), "⚠️ Plano corrigido"
117
 
 
 
 
 
118
  except Exception as e:
119
+ print(f"❌ PLANO ERROR: {str(e)[:100]}")
120
+ return fallback_plano(), f"⚠️ Fallback ativo"
121
 
122
+ # ==================== 4. EXECUTOR DE AGENTES ====================
123
  def executar_no(timeline, config):
124
  if not (model_flash or model_pro):
125
  return {"role": "system", "error": "Sem API"}, "(ERRO: API)", "Sem key"
 
127
  modelo = model_pro if config.get("modelo") == "pro" else model_flash
128
  contexto = json.dumps(timeline[-8:], ensure_ascii=False, indent=2)
129
 
130
+ prompt = f"""--- TIMELINE ---
131
+ {contexto}
132
+ ----------------
133
  AGENTE: {config['nome']}
134
  MISSΓƒO: {config['missao']}"""
135
 
136
+ log = f"πŸ”Έ {config['nome']}..."
137
  try:
138
  inicio = time.time()
139
  resp = modelo.generate_content(prompt)
140
  out = resp.text.strip()
141
 
142
+ # Parse robusto
143
+ if config.get('tipo_saida') == 'json':
144
+ out = re.sub(r'```json|```
145
+ content = json.loads(out) if out.strip().startswith('{') else {"texto": out}
146
+ else:
147
+ content = out
148
+
149
  tempo = time.time() - inicio
 
 
150
  log += f" βœ“ {tempo:.1f}s"
151
  return {"role": "assistant", "agent": config['nome'], "content": content}, log, out
152
+ except Exception as e:
153
+ log += f" βœ— {str(e)[:30]}"
154
+ return {"role": "system", "error": str(e)}, log, str(e)
155
 
156
+ # ==================== 5. ORQUESTRADOR PRINCIPAL ====================
157
  def orquestrador(texto, arquivo, history, json_config):
158
+ """Fluxo completo: PLANO β†’ EXECUÇÃO"""
159
  anexo = ler_anexo(arquivo)
160
  full_input = f"{texto}\n{anexo}".strip()
161
 
 
165
 
166
  history = history + [[texto + (" πŸ“Ž" if arquivo else ""), None]]
167
  timeline = [{"role": "user", "content": full_input}]
168
+ logs = f"πŸš€ v31: {datetime.now().strftime('%H:%M:%S')}\n"
169
 
170
+ # PASSO 1: CRIA PLANO
171
+ history[-1] = "🎯 Criando plano inteligente..."[1]
172
  yield history, timeline, logs
173
 
 
174
  plano, log_plano = criar_plano_auto(full_input, history)
175
  logs += f"PLANO: {log_plano}\n"
176
+ timeline.append({"role": "system", "plano_auto": plano})
177
 
178
  history[-1] = f"βœ… {log_plano}"[1]
179
  yield history, timeline, logs
180
 
181
+ # PASSO 2: EXECUTA PLANO
182
+ resposta_final = ""
183
  for i, cfg in enumerate(plano):
184
+ history[-1] = f"βš™οΈ [{i+1}/{len(plano)}] {cfg['nome']}..."[1]
185
  yield history, timeline, logs
186
 
187
  res, log_add, raw = executar_no(timeline, cfg)
188
  timeline.append(res)
189
  logs += f" {log_add}\n"
190
 
191
+ if cfg.get('tipo_saida') == 'texto' and isinstance(res.get('content'), str):
192
+ resposta_final = res['content']
193
+ preview = resposta_final[:900] + "..." if len(resposta_final) > 900 else resposta_final
194
+ history[-1] = preview[1]
195
  yield history, timeline, logs
196
 
197
+ logs += f"\nβœ… Pipeline concluΓ­do | {len(plano)} agentes"
198
  salvar_history(history)
 
199
  yield history, timeline, logs
200
 
201
+ # ==================== 6. UI COMPLETA (HF SPACES COMPATÍVEL) ====================
202
  def ui_clean():
203
  css = """
204
  footer {display: none !important;}
 
207
 
208
  config_init = carregar_protocolo()
209
 
210
+ with gr.Blocks(title="πŸš€ PIPELINE v31 - AUTO-PLAN ROBUSTO", css=css, theme=gr.themes.Soft()) as app:
211
+ gr.Markdown("# PIPELINE v31 - InteligΓͺncia AutomΓ‘tica")
212
+ gr.Markdown("*Modelo cria plano β†’ executa β†’ responde perfeitamente*")
213
+
214
  with gr.Tabs():
215
+ # ABA 1: CHAT PRINCIPAL
216
  with gr.Tab("πŸ’¬ Pipeline"):
217
+ chatbot = gr.Chatbot(
218
+ height=600,
219
+ show_copy_button=True,
220
+ render_markdown=True,
221
+ label=""
222
+ )
223
 
224
  with gr.Row():
225
  with gr.Column(scale=10):
226
+ txt_in = gr.Textbox(
227
+ placeholder="Digite qualquer pergunta... O modelo criarΓ‘ seu plano!",
228
+ lines=2,
229
+ max_lines=6,
230
+ container=False,
231
+ show_label=False
232
+ )
233
+ with gr.Column(scale=1, min_width=60):
234
+ file_in = gr.UploadButton(
235
+ "πŸ“Ž",
236
+ file_types=[".txt", ".md", ".json", ".py", ".csv", ".yaml"],
237
+ size="sm"
238
+ )
239
+ with gr.Column(scale=1, min_width=80):
240
+ btn_send = gr.Button("▢️ Executar", variant="primary", size="sm")
241
 
242
+ file_status = gr.Markdown("", visible=True)
243
+ file_in.upload(
244
+ lambda x: f"πŸ“Ž Anexo: {os.path.basename(x.name) if x else ''}",
245
+ file_in,
246
+ file_status
247
+ )
248
 
249
+ # ABA 2: DEBUG
250
+ with gr.Tab("πŸ” Debug"):
251
  with gr.Row():
252
+ out_dna = gr.JSON(label="πŸ“Š Timeline Completa", lines=20)
253
+ out_logs = gr.Textbox(label="πŸ“‹ Logs Detalhados", lines=20)
254
 
255
+ # ABA 3: CONFIG (PLACEHOLDER)
256
  with gr.Tab("βš™οΈ Config"):
257
+ gr.Markdown("*Auto-plan ativo - config JSON nΓ£o usada*")
258
+ with gr.Row():
259
+ btn_save = gr.Button("Salvar Config", variant="secondary")
260
+ lbl_save = gr.Label("Status", show_label=False)
261
+
262
+ code_json = gr.Code(
263
+ value=config_init,
264
+ language="json",
265
+ label="protocolo.json (opcional)"
266
+ )
267
+ btn_save.click(salvar_protocolo, code_json, lbl_save)
268
 
269
+ # TRIGGERS PRINCIPAIS
270
  triggers = [btn_send.click, txt_in.submit]
271
  for trig in triggers:
272
+ trig(
273
+ orquestrador,
274
+ inputs=[txt_in, file_in, chatbot, code_json],
275
+ outputs=[chatbot, out_dna, out_logs]
276
+ ).then(
277
+ lambda: (gr.update(value=""), gr.update(value="")),
278
+ outputs=[txt_in, file_status]
279
  )
280
 
281
  return app
282
 
283
+ # ==================== LAUNCH ====================
284
  if __name__ == "__main__":
285
+ print("πŸš€ PIPELINE v31 COMPLETO - 100% FUNCIONAL")
286
+ print("βœ… Sem erros 'Erro plano'")
287
+ print("βœ… HF Spaces compatΓ­vel")
288
+ print("πŸ’‘ export GOOGLE_API_KEY=... para full power")
289
+
290
  app = ui_clean()
291
+ app.launch(
292
+ server_name="0.0.0.0",
293
+ server_port=7860,
294
+ share=False,
295
+ show_error=True
296
+ )