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Update agents/specialized.py
Browse files- agents/specialized.py +13 -17
agents/specialized.py
CHANGED
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@@ -4,13 +4,17 @@ from utils.prompts import get_today_prefix, get_chat_style
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from agents.registry import AGENT_REGISTRY
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from core.file_builder import build_docx, build_excel
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import re
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AGENT_ROLES = {
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"manager": """
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Eres el gerente principal. Cuando no haya delegación, responde de forma natural, amigable y útil al usuario.
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No necesitas generar JSON aquí, solo contesta directamente.
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""",
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"image_agent": """
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Eres el agente de imágenes.
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Cuando se te pida generar o buscar imágenes, responde SOLO con:
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@@ -61,13 +65,10 @@ async def generate_image_from_prompt(prompt: str, model: str = "black-forest-lab
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image = await asyncio.to_thread(
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client.text_to_image,
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prompt,
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num_inference_steps=20,
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guidance_scale=7.5
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)
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# Guardar temporalmente
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from pathlib import Path
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from datetime import datetime
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DOCS_DIR = Path("data/docs")
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DOCS_DIR.mkdir(exist_ok=True)
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ts = datetime.now().strftime("%Y%m%d_%H%M%S")
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@@ -91,7 +92,6 @@ async def run_specialized_agent(agent_key: str, task: str, context: dict = None)
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full_prompt = today + role + get_chat_style() + f"\n\nTarea asignada: {task}"
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# Agregar contexto si viene de otros agentes
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if context:
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full_prompt += "\n\nContexto de otros agentes:\n" + "\n".join([f"[{k.upper()}] {v[:300]}..." for k, v in context.items()])
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@@ -105,7 +105,8 @@ async def run_specialized_agent(agent_key: str, task: str, context: dict = None)
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"response": response,
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"success": True,
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"file_path": None,
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"file_type": None
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}
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# Generar archivo según agente
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@@ -120,40 +121,35 @@ async def run_specialized_agent(agent_key: str, task: str, context: dict = None)
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result["file_error"] = str(e)
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elif agent_key == "backend_dev":
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# Detectar EXCEL_TEMPLATE
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match = re.search(r'EXCEL_TEMPLATE:\s*(\{.*\})', response, re.DOTALL | re.IGNORECASE)
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if match:
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try:
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import json
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excel_data = json.loads(match.group(1))
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file_path = build_excel(task, excel_data)
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if file_path:
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result["file_path"] = file_path.name
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result["file_type"] = "xlsx"
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result["response"] = response.split("EXCEL_TEMPLATE:")[0].strip()
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except Exception as e:
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result["file_error"] = str(e)
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elif agent_key == "image_agent":
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# Generar queries (como antes)
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match = re.search(r'\{.*"image_queries".*\}', response, re.DOTALL)
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if match:
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try:
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queries = json.loads(match.group(0))["image_queries"]
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result["queries"] = queries
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#
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if any(word in task.lower() for word in ["genera la imagen", "crea la imagen", "muestra la imagen", "imagen real"]):
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# Usa la primera query (o combina todas)
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best_prompt = ", ".join(queries) + ", highly detailed, 8k, masterpiece"
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img_result = await generate_image_from_prompt(best_prompt)
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if img_result["success"]:
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result["image_url"] = img_result["image_url"]
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else:
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result["image_error"] = img_result["error"]
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except:
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return result
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from agents.registry import AGENT_REGISTRY
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from core.file_builder import build_docx, build_excel
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import re
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import json
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from pathlib import Path
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from datetime import datetime
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AGENT_ROLES = {
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"manager": """
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Eres el gerente principal. Cuando no haya delegación o la tarea sea simple, responde de forma natural, amigable y útil al usuario.
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No necesitas generar JSON aquí, solo contesta directamente.
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Mantén un tono profesional pero cercano.
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""",
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"image_agent": """
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Eres el agente de imágenes.
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Cuando se te pida generar o buscar imágenes, responde SOLO con:
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image = await asyncio.to_thread(
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client.text_to_image,
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prompt,
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num_inference_steps=20,
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guidance_scale=7.5
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)
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DOCS_DIR = Path("data/docs")
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DOCS_DIR.mkdir(exist_ok=True)
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ts = datetime.now().strftime("%Y%m%d_%H%M%S")
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full_prompt = today + role + get_chat_style() + f"\n\nTarea asignada: {task}"
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if context:
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full_prompt += "\n\nContexto de otros agentes:\n" + "\n".join([f"[{k.upper()}] {v[:300]}..." for k, v in context.items()])
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"response": response,
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"success": True,
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"file_path": None,
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"file_type": None,
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"image_url": None
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}
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# Generar archivo según agente
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result["file_error"] = str(e)
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elif agent_key == "backend_dev":
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match = re.search(r'EXCEL_TEMPLATE:\s*(\{.*\})', response, re.DOTALL | re.IGNORECASE)
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if match:
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try:
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excel_data = json.loads(match.group(1))
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file_path = build_excel(task, excel_data)
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if file_path:
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result["file_path"] = file_path.name
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result["file_type"] = "xlsx"
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result["response"] = response.split("EXCEL_TEMPLATE:")[0].strip() # limpiar
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except Exception as e:
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result["file_error"] = str(e)
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elif agent_key == "image_agent":
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match = re.search(r'\{.*"image_queries".*\}', response, re.DOTALL)
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if match:
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try:
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queries = json.loads(match.group(0))["image_queries"]
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result["queries"] = queries
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# Generar imagen real si el usuario lo pide explícitamente
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if any(word in task.lower() for word in ["genera la imagen", "crea la imagen", "muestra la imagen", "imagen real"]):
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best_prompt = ", ".join(queries) + ", highly detailed, 8k, masterpiece"
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img_result = await generate_image_from_prompt(best_prompt)
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if img_result["success"]:
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result["image_url"] = img_result["image_url"]
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else:
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result["image_error"] = img_result["error"]
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except Exception as e:
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result["image_error"] = str(e)
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return result
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