0d4e281829
- Carga skills desde archivos .md en workspace/skills/ - Agrega skill vendedor_libreria con contexto completo - Agrega skill busqueda_productos con manejo de sinónimos - Agrega skill gestion_ventas para registrar ventas - Nueva tool listar_todo_el_stock para ver inventario completo - Mejora system prompt con reglas claras de uso de tools - Agrega mapeo de sinónimos (fibras→marcadores, bloc→papel) - Procesa múltiples productos en una sola consulta - Ofrece alternativas inteligentes cuando no hay stock
1084 lines
36 KiB
Python
1084 lines
36 KiB
Python
import json
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import os
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import sqlite3
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import logging
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import unicodedata
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from datetime import datetime
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from pathlib import Path
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from typing import Optional, List
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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def normalize_text(text: str) -> str:
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"""Remove accents and normalize text for searching"""
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# Normalize to NFKD and remove combining characters (accents)
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normalized = unicodedata.normalize("NFKD", text)
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return "".join(c for c in normalized if not unicodedata.combining(c))
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from fastapi import (
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FastAPI,
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WebSocket,
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WebSocketDisconnect,
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HTTPException,
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Request,
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)
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from fastapi.templating import Jinja2Templates
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from fastapi.responses import HTMLResponse, JSONResponse
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from pydantic import BaseModel
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import httpx
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# Anthropic API Configuration (Z.ai)
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ANTHROPIC_API_KEY = "6fef8efda3d24eb9ad3d718daf1ae9a1.RcFc7QPe5uZLr2mS"
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ANTHROPIC_BASE_URL = "https://api.z.ai/api/anthropic"
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# Skills directory
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SKILLS_DIR = Path(__file__).parent.parent / "picoclaw" / "workspace" / "skills"
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def load_skills() -> str:
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"""Carga todos los skills disponibles y los combina en un string"""
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skills_content = []
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if SKILLS_DIR.exists():
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for skill_file in sorted(SKILLS_DIR.glob("*.md")):
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try:
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with open(skill_file, "r", encoding="utf-8") as f:
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content = f.read()
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skills_content.append(
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f"\n{'=' * 60}\nSKILL: {skill_file.stem}\n{'=' * 60}\n{content}"
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)
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except Exception as e:
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logger.warning(f"Error cargando skill {skill_file}: {e}")
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return "\n\n".join(skills_content) if skills_content else ""
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# Base system prompt
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BASE_SYSTEM_PROMPT = """Sos el asistente de ventas de Demo Librería, una librería escolar en Argentina.
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## REGLA CRÍTICA - SIEMPRE USAR HERRAMIENTAS
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**NUNCA respondas de memoria.** Antes de dar cualquier información sobre productos, precios o stock, DEBÉS usar una herramienta.
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## HERRAMIENTAS DISPONIBLES
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1. `buscar_productos` - Busca productos específicos por nombre
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Úsala cuando el usuario mencione un producto específico: "cuadernos", "lápices", "biromes", etc.
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2. `listar_todo_el_stock` - Muestra TODO el inventario completo
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Úsala cuando el usuario quiera ver todo: "mostrame todo", "qué tienen", "stock"
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3. `confirmar_venta` - Registra una venta
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Úsala solo cuando el usuario confirme que se vendió algo
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## INSTRUCCIONES IMPORTANTES
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1. **NUNCA inventar precios.** Siempre usar herramientas primero.
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2. **MÚLTIPLES PRODUCTOS**: Cuando pidan varios productos ("bloc, lápices y fibras"), buscar CADA UNO por separado.
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3. Si no hay stock, ofrecer alternativas.
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4. Ser conciso (máximo 3-4 líneas).
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5. Usar español argentino: "vos", "tenés", "querés".
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6. Preguntar siempre al final: "¿Se concretó la venta?"
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## MAPEO DE SINÓNIMOS
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- "fibras" → buscar "marcadores" o "colores"
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- "bloc" → buscar "papel"
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- "lapices de colores" → buscar "caja colores"
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- "biromes" → buscar "birome"
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## EJEMPLOS
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Usuario: "bloc de hojas, lápices de 12 y fibras"
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Acción:
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1. buscar_productos("bloc")
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2. buscar_productos("caja colores")
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3. buscar_productos("fibras")
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Respuesta: Resultados de los 3 productos"""
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# Combinar base prompt con skills
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SKILLS_CONTENT = load_skills()
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SYSTEM_PROMPT = f"{BASE_SYSTEM_PROMPT}\n\n{SKILLS_CONTENT}"
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def db_buscar_productos(query: str) -> list:
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"""Busca productos en la base de datos"""
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conn = sqlite3.connect(DB_PATH)
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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query_normalized = normalize_text(query.lower())
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search_term = f"%{query_normalized}%"
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cursor.execute(
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"""
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SELECT id, nombre, marca, categoria, precio, stock
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FROM productos
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WHERE activo = 1 AND (
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REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(nombre), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ? OR
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REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(marca), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ? OR
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REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(categoria), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ?
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)
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ORDER BY stock DESC
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LIMIT 10
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""",
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(search_term, search_term, search_term),
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)
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productos = cursor.fetchall()
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conn.close()
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return [
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{
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"id": p["id"],
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"nombre": p["nombre"],
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"marca": p["marca"] or "",
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"categoria": p["categoria"],
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"precio": p["precio"],
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"stock": p["stock"],
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}
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for p in productos
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]
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def db_listar_todo_el_stock() -> dict:
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"""Lista todo el inventario organizado por categorías"""
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conn = sqlite3.connect(DB_PATH)
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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cursor.execute("""
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SELECT DISTINCT nombre, marca, categoria, precio, stock
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FROM productos
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WHERE activo = 1 AND stock > 0
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ORDER BY categoria, nombre
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""")
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productos = cursor.fetchall()
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conn.close()
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# Organizar por categorías
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categorias = {}
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for p in productos:
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cat = p["categoria"]
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if cat not in categorias:
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categorias[cat] = []
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categorias[cat].append(
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{
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"nombre": p["nombre"],
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"marca": p["marca"] or "",
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"precio": p["precio"],
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"stock": p["stock"],
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}
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)
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return {"categorias": categorias, "total_productos": len(productos)}
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def db_confirmar_venta(producto_nombre: str, cantidad: int) -> dict:
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"""Registra una venta en la base de datos"""
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conn = sqlite3.connect(DB_PATH)
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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query_normalized = normalize_text(producto_nombre.lower())
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search_term = f"%{query_normalized}%"
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cursor.execute(
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"""
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SELECT * FROM productos
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WHERE activo = 1 AND (
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REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(nombre), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ?
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)
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LIMIT 1
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""",
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(search_term,),
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)
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producto = cursor.fetchone()
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if not producto:
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conn.close()
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return {"error": f"Producto no encontrado: {producto_nombre}"}
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if producto["stock"] < cantidad:
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conn.close()
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return {
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"error": f"Stock insuficiente. Stock actual: {producto['stock']}, solicitado: {cantidad}",
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"producto": producto["nombre"],
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"stock_disponible": producto["stock"],
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}
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cursor.execute(
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"""
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INSERT INTO ventas (producto_id, cantidad, precio_vendido, vendedor)
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VALUES (?, ?, ?, ?)
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""",
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(producto["id"], cantidad, producto["precio"], "AI Bot"),
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)
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cursor.execute(
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"""
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UPDATE productos SET stock = stock - ?, updated_at = datetime('now')
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WHERE id = ?
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""",
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(cantidad, producto["id"]),
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)
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conn.commit()
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cursor.execute("SELECT stock FROM productos WHERE id = ?", (producto["id"],))
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nuevo_stock = cursor.fetchone()["stock"]
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conn.close()
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return {
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"success": True,
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"producto": producto["nombre"],
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"cantidad": cantidad,
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"precio_unitario": producto["precio"],
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"total": cantidad * producto["precio"],
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"stock_nuevo": nuevo_stock,
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}
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async def chat_with_ai(message: str, session_id: str = "pymesbot") -> Optional[str]:
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"""Send message to Anthropic API with tools"""
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# Definir las herramientas disponibles
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tools = [
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{
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"name": "buscar_productos",
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"description": "Busca productos específicos en el inventario por nombre o descripción. Usar SIEMPRE antes de dar información sobre productos.",
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"input_schema": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string",
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"description": "Nombre o descripción del producto a buscar (ej: 'cuaderno', 'birome', 'lápices')",
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}
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},
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"required": ["query"],
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},
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},
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{
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"name": "listar_todo_el_stock",
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"description": "Muestra TODO el inventario completo de la librería organizado por categorías. Usar cuando el usuario quiera ver todo el stock disponible.",
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"input_schema": {
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"type": "object",
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"properties": {},
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},
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},
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{
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"name": "confirmar_venta",
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"description": "Registra una venta y descuenta el stock del inventario. Usar SOLO cuando el usuario confirme explícitamente que se vendió algo.",
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"input_schema": {
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"type": "object",
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"properties": {
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"producto_nombre": {
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"type": "string",
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"description": "Nombre exacto o similar del producto vendido",
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},
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"cantidad": {
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"type": "integer",
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"description": "Cantidad de unidades vendidas",
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},
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},
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"required": ["producto_nombre", "cantidad"],
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},
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},
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]
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messages = [{"role": "user", "content": message}]
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max_iterations = 5
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async with httpx.AsyncClient(timeout=60.0) as client:
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for iteration in range(max_iterations):
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try:
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response = await client.post(
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f"{ANTHROPIC_BASE_URL}/v1/messages",
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headers={
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"x-api-key": ANTHROPIC_API_KEY,
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"anthropic-version": "2023-06-01",
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"Content-Type": "application/json",
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},
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json={
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"model": "claude-3-5-sonnet-20241022",
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"max_tokens": 1024,
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"system": SYSTEM_PROMPT,
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"messages": messages,
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"tools": tools,
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},
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)
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if response.status_code != 200:
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logger.error(f"API error: {response.status_code} - {response.text}")
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return (
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f"Error al procesar la consulta. Por favor, intentá de nuevo."
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)
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result = response.json()
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content = result.get("content", [])
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# Verificar si hay tool calls
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tool_calls = [
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block for block in content if block.get("type") == "tool_use"
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]
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text_response = [
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block for block in content if block.get("type") == "text"
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]
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if not tool_calls:
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# No hay tool calls, devolver la respuesta de texto
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if text_response:
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return text_response[0].get(
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"text", "No pude generar una respuesta."
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)
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return "No pude generar una respuesta."
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# Procesar tool calls
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tool_results = []
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for tool_call in tool_calls:
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tool_name = tool_call.get("name")
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tool_input = tool_call.get("input", {})
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if tool_name == "buscar_productos":
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query = tool_input.get("query", "")
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productos = db_buscar_productos(query)
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tool_results.append(
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{
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"type": "tool_result",
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"tool_use_id": tool_call.get("id"),
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"content": json.dumps({"productos": productos}),
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}
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)
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elif tool_name == "listar_todo_el_stock":
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inventario = db_listar_todo_el_stock()
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tool_results.append(
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{
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"type": "tool_result",
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"tool_use_id": tool_call.get("id"),
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"content": json.dumps(inventario),
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}
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)
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elif tool_name == "confirmar_venta":
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producto_nombre = tool_input.get("producto_nombre", "")
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cantidad = tool_input.get("cantidad", 1)
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resultado = db_confirmar_venta(producto_nombre, cantidad)
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tool_results.append(
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{
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"type": "tool_result",
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"tool_use_id": tool_call.get("id"),
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"content": json.dumps(resultado),
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}
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)
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# Agregar el tool use y los resultados a los mensajes
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messages.append({"role": "assistant", "content": json.dumps(content)})
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messages.append({"role": "user", "content": json.dumps(tool_results)})
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except Exception as e:
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logger.error(f"Error in chat_with_ai: {e}")
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return f"Error al procesar la consulta: {str(e)}"
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# Si llegamos aquí, se agotaron las iteraciones
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return "Lo siento, no pude completar la consulta en el tiempo permitido."
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# Alias para compatibilidad
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chat_with_openclaw = chat_with_ai
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DATA_DIR = Path(__file__).parent / "data"
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DB_PATH = DATA_DIR / "stock.db"
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TEMPLATES_DIR = Path(__file__).parent / "templates"
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def get_db():
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if not DB_PATH.exists():
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init_db()
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return DB_PATH
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def init_db():
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DATA_DIR.mkdir(parents=True, exist_ok=True)
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conn = sqlite3.connect(DB_PATH)
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cursor = conn.cursor()
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS productos (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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nombre TEXT NOT NULL,
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marca TEXT,
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categoria TEXT NOT NULL DEFAULT 'general',
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precio REAL NOT NULL,
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stock INTEGER NOT NULL DEFAULT 0,
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variantes TEXT,
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codigo TEXT,
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activo INTEGER NOT NULL DEFAULT 1,
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created_at TEXT NOT NULL DEFAULT (datetime('now')),
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updated_at TEXT NOT NULL DEFAULT (datetime('now'))
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)
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""")
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS ventas (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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producto_id INTEGER NOT NULL,
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cantidad INTEGER NOT NULL,
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precio_vendido REAL NOT NULL,
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vendedor TEXT,
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notas TEXT,
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timestamp TEXT NOT NULL DEFAULT (datetime('now')),
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FOREIGN KEY (producto_id) REFERENCES productos(id)
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)
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""")
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS config (
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clave TEXT PRIMARY KEY,
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valor TEXT NOT NULL
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)
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""")
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default_config = [
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("nombre_negocio", "Demo Librería"),
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("moneda", "ARS"),
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("moneda_simbolo", "$"),
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("alerta_stock_minimo", "5"),
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("vendedor_pin", "1234"),
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("admin_password", "admin123"),
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("rubro", "libreria"),
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]
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for clave, valor in default_config:
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cursor.execute(
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"INSERT OR IGNORE INTO config (clave, valor) VALUES (?, ?)", (clave, valor)
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)
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sample_products = [
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(
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"Birome Bic Cristal Azul",
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"Bic",
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"escritura",
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850,
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50,
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'{"color": ["azul"]}',
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"7501031311309",
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),
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(
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"Birome Bic Cristal Rojo",
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"Bic",
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"escritura",
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850,
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30,
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'{"color": ["rojo"]}',
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"7501031311316",
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),
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(
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"Birome Bic Cristal Negro",
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"Bic",
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"escritura",
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850,
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45,
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'{"color": ["negro"]}',
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"7501031311323",
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),
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(
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"Cuaderno Rivadavia 48 Hojas",
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"Rivadavia",
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"cuadernos",
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2500,
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20,
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'{"tipo": ["rayado", "blanco"]}',
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None,
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),
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("Lápiz Faber Castell 2B", "Faber Castell", "escritura", 450, 100, None, None),
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("Goma de borrar Staedtler", "Staedtler", "escritura", 320, 25, None, None),
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("Regla 30cm", "Maped", "geometria", 650, 15, None, None),
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("Compás Prisma", "Prisma", "geometria", 2500, 8, None, None),
|
|
("Caja de colores 12", "Maped", "colores", 3200, 18, None, None),
|
|
("Papel glasé x 20", "Laprida", "colores", 850, 40, None, None),
|
|
]
|
|
|
|
for nombre, marca, categoria, precio, stock, variantes, codigo in sample_products:
|
|
v = variantes if variantes else None
|
|
cursor.execute(
|
|
"""
|
|
INSERT INTO productos (nombre, marca, categoria, precio, stock, variantes, codigo)
|
|
VALUES (?, ?, ?, ?, ?, ?, ?)
|
|
""",
|
|
(nombre, marca, categoria, precio, stock, v, codigo),
|
|
)
|
|
|
|
conn.commit()
|
|
conn.close()
|
|
|
|
|
|
class BuscarStockRequest(BaseModel):
|
|
query: str
|
|
limit: int = 5
|
|
|
|
|
|
class ConfirmarVentaRequest(BaseModel):
|
|
producto_id: int
|
|
cantidad: int
|
|
precio_vendido: float
|
|
vendedor: str = "vendedor"
|
|
|
|
|
|
class LoginRequest(BaseModel):
|
|
pin: str
|
|
|
|
|
|
app = FastAPI(title="PymesBot Backend")
|
|
|
|
if TEMPLATES_DIR.exists():
|
|
templates = Jinja2Templates(directory=str(TEMPLATES_DIR))
|
|
else:
|
|
templates = None
|
|
|
|
|
|
@app.on_event("startup")
|
|
async def startup():
|
|
init_db()
|
|
|
|
|
|
@app.get("/health")
|
|
async def health():
|
|
conn = sqlite3.connect(DB_PATH)
|
|
cursor = conn.cursor()
|
|
cursor.execute("SELECT valor FROM config WHERE clave = 'nombre_negocio'")
|
|
nombre = cursor.fetchone()
|
|
conn.close()
|
|
return {"status": "ok", "negocio": nombre[0] if nombre else "Demo"}
|
|
|
|
|
|
@app.get("/stock/search")
|
|
async def buscar_stock(q: str, limit: int = 5):
|
|
conn = sqlite3.connect(DB_PATH)
|
|
conn.row_factory = sqlite3.Row
|
|
cursor = conn.cursor()
|
|
|
|
q_lower = q.lower()
|
|
cursor.execute(
|
|
"""
|
|
SELECT * FROM productos
|
|
WHERE activo = 1 AND (
|
|
LOWER(nombre) LIKE ? OR
|
|
LOWER(marca) LIKE ? OR
|
|
LOWER(categoria) LIKE ?
|
|
)
|
|
ORDER BY
|
|
CASE
|
|
WHEN LOWER(nombre) LIKE ? THEN 1
|
|
ELSE 2
|
|
END,
|
|
stock DESC
|
|
LIMIT ?
|
|
""",
|
|
(f"%{q_lower}%", f"%{q_lower}%", f"%{q_lower}%", f"%{q_lower}%", limit),
|
|
)
|
|
|
|
rows = cursor.fetchall()
|
|
resultados = []
|
|
|
|
for row in rows:
|
|
resultados.append(
|
|
{
|
|
"id": row["id"],
|
|
"nombre": row["nombre"],
|
|
"marca": row["marca"],
|
|
"categoria": row["categoria"],
|
|
"precio": row["precio"],
|
|
"precio_formateado": f"${row['precio']:.0f}",
|
|
"stock": row["stock"],
|
|
"variantes": json.loads(row["variantes"]) if row["variantes"] else {},
|
|
"hay_stock": row["stock"] > 0,
|
|
"promo_activa": None,
|
|
}
|
|
)
|
|
|
|
conn.close()
|
|
|
|
return {"resultados": resultados, "total": len(resultados), "query": q}
|
|
|
|
|
|
@app.get("/stock/producto/{producto_id}")
|
|
async def get_producto(producto_id: int):
|
|
conn = sqlite3.connect(DB_PATH)
|
|
conn.row_factory = sqlite3.Row
|
|
cursor = conn.cursor()
|
|
|
|
cursor.execute("SELECT * FROM productos WHERE id = ?", (producto_id,))
|
|
row = cursor.fetchone()
|
|
conn.close()
|
|
|
|
if not row:
|
|
raise HTTPException(
|
|
status_code=404, detail=f"Producto con id {producto_id} no encontrado"
|
|
)
|
|
|
|
return {
|
|
"id": row["id"],
|
|
"nombre": row["nombre"],
|
|
"marca": row["marca"],
|
|
"categoria": row["categoria"],
|
|
"precio": row["precio"],
|
|
"stock": row["stock"],
|
|
"variantes": json.loads(row["variantes"]) if row["variantes"] else {},
|
|
"codigo": row["codigo"],
|
|
"activo": bool(row["activo"]),
|
|
"created_at": row["created_at"],
|
|
"updated_at": row["updated_at"],
|
|
}
|
|
|
|
|
|
@app.post("/venta/confirmar")
|
|
async def confirmar_venta(req: ConfirmarVentaRequest):
|
|
conn = sqlite3.connect(DB_PATH)
|
|
cursor = conn.cursor()
|
|
|
|
cursor.execute(
|
|
"SELECT * FROM productos WHERE id = ? AND activo = 1", (req.producto_id,)
|
|
)
|
|
producto = cursor.fetchone()
|
|
|
|
if not producto:
|
|
conn.close()
|
|
raise HTTPException(status_code=404, detail="Producto no encontrado")
|
|
|
|
if producto[4] < req.cantidad:
|
|
conn.close()
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=f"Stock insuficiente. Stock actual: {producto[4]}, solicitado: {req.cantidad}",
|
|
)
|
|
|
|
cursor.execute(
|
|
"""
|
|
INSERT INTO ventas (producto_id, cantidad, precio_vendido, vendedor)
|
|
VALUES (?, ?, ?, ?)
|
|
""",
|
|
(req.producto_id, req.cantidad, req.precio_vendido, req.vendedor),
|
|
)
|
|
|
|
cursor.execute(
|
|
"""
|
|
UPDATE productos SET stock = stock - ?, updated_at = datetime('now')
|
|
WHERE id = ?
|
|
""",
|
|
(req.cantidad, req.producto_id),
|
|
)
|
|
|
|
conn.commit()
|
|
|
|
cursor.execute("SELECT stock FROM productos WHERE id = ?", (req.producto_id,))
|
|
nuevo_stock = cursor.fetchone()[0]
|
|
|
|
venta_id = cursor.lastrowid
|
|
conn.close()
|
|
|
|
return {
|
|
"venta_id": venta_id,
|
|
"producto": producto[1],
|
|
"cantidad": req.cantidad,
|
|
"precio_vendido": req.precio_vendido,
|
|
"total": req.cantidad * req.precio_vendido,
|
|
"stock_anterior": producto[4],
|
|
"stock_nuevo": nuevo_stock,
|
|
"timestamp": datetime.now().isoformat(),
|
|
}
|
|
|
|
|
|
# ============================================================================
|
|
# TOOLS PARA PICOCLAW
|
|
# ============================================================================
|
|
|
|
|
|
class BuscarProductosTool(BaseModel):
|
|
query: str
|
|
|
|
|
|
class ConfirmarVentaTool(BaseModel):
|
|
producto_nombre: str
|
|
cantidad: int
|
|
|
|
|
|
@app.get("/api/tools/listar_productos")
|
|
async def tool_listar_productos():
|
|
"""Tool para PicoClaw: Lista todos los productos disponibles"""
|
|
conn = sqlite3.connect(DB_PATH)
|
|
conn.row_factory = sqlite3.Row
|
|
cursor = conn.cursor()
|
|
|
|
cursor.execute("""
|
|
SELECT id, nombre, marca, categoria, precio, stock
|
|
FROM productos
|
|
WHERE activo = 1 AND stock > 0
|
|
ORDER BY categoria, nombre
|
|
""")
|
|
|
|
productos = cursor.fetchall()
|
|
conn.close()
|
|
|
|
result = []
|
|
for p in productos:
|
|
result.append(
|
|
{
|
|
"id": p["id"],
|
|
"nombre": p["nombre"],
|
|
"marca": p["marca"] or "",
|
|
"categoria": p["categoria"],
|
|
"precio": p["precio"],
|
|
"stock": p["stock"],
|
|
}
|
|
)
|
|
|
|
return {"productos": result, "total": len(result)}
|
|
|
|
|
|
@app.post("/api/tools/buscar_productos")
|
|
async def tool_buscar_productos(req: BuscarProductosTool):
|
|
"""Tool para PicoClaw: Busca productos por nombre o descripción"""
|
|
conn = sqlite3.connect(DB_PATH)
|
|
conn.row_factory = sqlite3.Row
|
|
cursor = conn.cursor()
|
|
|
|
# Normalizar búsqueda (quitar tildes)
|
|
query_normalized = normalize_text(req.query.lower())
|
|
search_term = f"%{query_normalized}%"
|
|
|
|
cursor.execute(
|
|
"""
|
|
SELECT id, nombre, marca, categoria, precio, stock
|
|
FROM productos
|
|
WHERE activo = 1 AND (
|
|
REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(nombre), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ? OR
|
|
REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(marca), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ? OR
|
|
REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(categoria), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ?
|
|
)
|
|
ORDER BY stock DESC
|
|
LIMIT 10
|
|
""",
|
|
(search_term, search_term, search_term),
|
|
)
|
|
|
|
productos = cursor.fetchall()
|
|
conn.close()
|
|
|
|
if not productos:
|
|
return {
|
|
"productos": [],
|
|
"mensaje": f"No se encontraron productos para: {req.query}",
|
|
}
|
|
|
|
result = []
|
|
for p in productos:
|
|
result.append(
|
|
{
|
|
"id": p["id"],
|
|
"nombre": p["nombre"],
|
|
"marca": p["marca"] or "",
|
|
"categoria": p["categoria"],
|
|
"precio": p["precio"],
|
|
"stock": p["stock"],
|
|
}
|
|
)
|
|
|
|
return {"productos": result, "query": req.query}
|
|
|
|
|
|
@app.post("/api/tools/confirmar_venta")
|
|
async def tool_confirmar_venta(req: ConfirmarVentaTool):
|
|
"""Tool para PicoClaw: Registra una venta y descuenta stock"""
|
|
conn = sqlite3.connect(DB_PATH)
|
|
conn.row_factory = sqlite3.Row
|
|
cursor = conn.cursor()
|
|
|
|
# Buscar producto por nombre
|
|
query_normalized = normalize_text(req.producto_nombre.lower())
|
|
search_term = f"%{query_normalized}%"
|
|
|
|
cursor.execute(
|
|
"""
|
|
SELECT * FROM productos
|
|
WHERE activo = 1 AND (
|
|
REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(LOWER(nombre), 'á', 'a'), 'é', 'e'), 'í', 'i'), 'ó', 'o'), 'ú', 'u') LIKE ?
|
|
)
|
|
LIMIT 1
|
|
""",
|
|
(search_term,),
|
|
)
|
|
|
|
producto = cursor.fetchone()
|
|
|
|
if not producto:
|
|
conn.close()
|
|
return {"error": f"Producto no encontrado: {req.producto_nombre}"}
|
|
|
|
if producto["stock"] < req.cantidad:
|
|
conn.close()
|
|
return {
|
|
"error": f"Stock insuficiente. Stock actual: {producto['stock']}, solicitado: {req.cantidad}",
|
|
"producto": producto["nombre"],
|
|
"stock_disponible": producto["stock"],
|
|
}
|
|
|
|
# Registrar venta
|
|
cursor.execute(
|
|
"""
|
|
INSERT INTO ventas (producto_id, cantidad, precio_vendido, vendedor)
|
|
VALUES (?, ?, ?, ?)
|
|
""",
|
|
(producto["id"], req.cantidad, producto["precio"], "PicoClaw Bot"),
|
|
)
|
|
|
|
# Actualizar stock
|
|
cursor.execute(
|
|
"""
|
|
UPDATE productos SET stock = stock - ?, updated_at = datetime('now')
|
|
WHERE id = ?
|
|
""",
|
|
(req.cantidad, producto["id"]),
|
|
)
|
|
|
|
conn.commit()
|
|
|
|
# Obtener stock actualizado
|
|
cursor.execute("SELECT stock FROM productos WHERE id = ?", (producto["id"],))
|
|
nuevo_stock = cursor.fetchone()["stock"]
|
|
|
|
conn.close()
|
|
|
|
return {
|
|
"success": True,
|
|
"producto": producto["nombre"],
|
|
"cantidad": req.cantidad,
|
|
"precio_unitario": producto["precio"],
|
|
"total": req.cantidad * producto["precio"],
|
|
"stock_anterior": producto["stock"],
|
|
"stock_nuevo": nuevo_stock,
|
|
}
|
|
|
|
|
|
# ============================================================================
|
|
# FIN TOOLS PICOCLAW
|
|
# ============================================================================
|
|
|
|
|
|
@app.get("/stats/ventas")
|
|
async def ventas_stats(periodo: str = "hoy"):
|
|
conn = sqlite3.connect(DB_PATH)
|
|
cursor = conn.cursor()
|
|
|
|
if periodo == "hoy":
|
|
cursor.execute("""
|
|
SELECT COUNT(*), SUM(cantidad * precio_vendido), AVG(cantidad * precio_vendido)
|
|
FROM ventas
|
|
WHERE date(timestamp) = date('now')
|
|
""")
|
|
elif periodo == "semana":
|
|
cursor.execute("""
|
|
SELECT COUNT(*), SUM(cantidad * precio_vendido), AVG(cantidad * precio_vendido)
|
|
FROM ventas
|
|
WHERE timestamp >= datetime('now', '-7 days')
|
|
""")
|
|
else:
|
|
cursor.execute("""
|
|
SELECT COUNT(*), SUM(cantidad * precio_vendido), AVG(cantidad * precio_vendido)
|
|
FROM ventas
|
|
WHERE timestamp >= datetime('now', '-30 days')
|
|
""")
|
|
|
|
row = cursor.fetchone()
|
|
conn.close()
|
|
|
|
return {
|
|
"periodo": periodo,
|
|
"total_ventas": row[0] or 0,
|
|
"total_pesos": row[1] or 0,
|
|
"ticket_promedio": row[2] or 0,
|
|
}
|
|
|
|
|
|
@app.get("/")
|
|
async def root(request: Request):
|
|
if templates:
|
|
return templates.TemplateResponse(
|
|
"chat.html", {"request": request, "nombre_negocio": "Demo Librería"}
|
|
)
|
|
return HTMLResponse("""
|
|
<html>
|
|
<head>
|
|
<title>PymesBot - Demo</title>
|
|
<meta name="viewport" content="width=device-width, initial-scale=1">
|
|
<style>
|
|
* { box-sizing: border-box; margin: 0; padding: 0; }
|
|
body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; }
|
|
.container { max-width: 800px; margin: 0 auto; padding: 20px; }
|
|
.chat-box { background: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); height: 70vh; display: flex; flex-direction: column; }
|
|
.chat-header { padding: 16px 20px; border-bottom: 1px solid #eee; display: flex; align-items: center; gap: 12px; }
|
|
.chat-header h1 { font-size: 18px; color: #333; }
|
|
.chat-messages { flex: 1; overflow-y: auto; padding: 20px; }
|
|
.message { margin-bottom: 16px; max-width: 80%; }
|
|
.message.bot { margin-right: auto; }
|
|
.message.user { margin-left: auto; text-align: right; }
|
|
.message .bubble { display: inline-block; padding: 12px 16px; border-radius: 18px; }
|
|
.message.bot .bubble { background: #f0f0f0; color: #333; }
|
|
.message.user .bubble { background: #007bff; color: white; }
|
|
.typing { color: #888; font-style: italic; padding: 8px; }
|
|
.chat-input { padding: 16px 20px; border-top: 1px solid #eee; display: flex; gap: 12px; }
|
|
.chat-input input { flex: 1; padding: 12px 16px; border: 1px solid #ddd; border-radius: 24px; outline: none; font-size: 16px; }
|
|
.chat-input button { padding: 12px 24px; background: #007bff; color: white; border: none; border-radius: 24px; cursor: pointer; font-size: 16px; }
|
|
.chat-input button:hover { background: #0056b3; }
|
|
.sidebar { background: white; border-radius: 12px; padding: 20px; margin-bottom: 20px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); }
|
|
.sidebar h2 { font-size: 16px; margin-bottom: 12px; color: #333; }
|
|
.stat { display: flex; justify-content: space-between; padding: 8px 0; border-bottom: 1px solid #eee; }
|
|
.stat-value { font-weight: 600; color: #007bff; }
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<div class="container">
|
|
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 20px;">
|
|
<div class="chat-box">
|
|
<div class="chat-header">
|
|
<h1>🛒 Demo Librería</h1>
|
|
</div>
|
|
<div class="chat-messages" id="messages">
|
|
<div class="message bot">
|
|
<div class="bubble">¡Hola! Soy el asistente de ventas de Demo Librería. ¿Qué estás buscando?</div>
|
|
</div>
|
|
</div>
|
|
<div class="chat-input">
|
|
<input type="text" id="msgInput" placeholder="Escribí tu consulta..." autocomplete="off">
|
|
<button onclick="sendMessage()">Enviar</button>
|
|
</div>
|
|
</div>
|
|
<div>
|
|
<div class="sidebar">
|
|
<h2>📊 Hoy</h2>
|
|
<div class="stat">
|
|
<span>Ventas</span>
|
|
<span class="stat-value" id="ventas-hoy">0</span>
|
|
</div>
|
|
<div class="stat">
|
|
<span>Total</span>
|
|
<span class="stat-value" id="total-hoy">$0</span>
|
|
</div>
|
|
</div>
|
|
<div class="sidebar">
|
|
<h2>⚠️ Stock bajo</h2>
|
|
<div id="alertas-stock"></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<script>
|
|
let ws = null;
|
|
const sessionId = Math.random().toString(36).substring(7);
|
|
|
|
function connect() {
|
|
const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';
|
|
ws = new WebSocket(`${protocol}//${window.location.host}/chat/ws/${sessionId}`);
|
|
ws.onmessage = (event) => {
|
|
const data = JSON.parse(event.data);
|
|
if (data.msg) {
|
|
addMessage(data.msg, 'bot');
|
|
}
|
|
if (data.stats) {
|
|
document.getElementById('ventas-hoy').textContent = data.stats.total_ventas;
|
|
document.getElementById('total-hoy').textContent = '$' + data.stats.total_pesos.toLocaleString();
|
|
}
|
|
};
|
|
}
|
|
|
|
function addMessage(text, type) {
|
|
const div = document.createElement('div');
|
|
div.className = `message ${type}`;
|
|
div.innerHTML = `<div class="bubble">${text}</div>`;
|
|
document.getElementById('messages').appendChild(div);
|
|
document.getElementById('messages').scrollTop = document.getElementById('messages').scrollHeight;
|
|
}
|
|
|
|
function sendMessage() {
|
|
const input = document.getElementById('msgInput');
|
|
const text = input.value.trim();
|
|
if (!text || !ws) return;
|
|
addMessage(text, 'user');
|
|
ws.send(JSON.stringify({ msg: text, session_id: sessionId }));
|
|
input.value = '';
|
|
}
|
|
|
|
document.getElementById('msgInput').addEventListener('keypress', (e) => {
|
|
if (e.key === 'Enter') sendMessage();
|
|
});
|
|
|
|
connect();
|
|
|
|
fetch('/stats/ventas?periodo=hoy')
|
|
.then(r => r.json())
|
|
.then(data => {
|
|
document.getElementById('ventas-hoy').textContent = data.total_ventas;
|
|
document.getElementById('total-hoy').textContent = '$' + data.total_pesos.toLocaleString();
|
|
});
|
|
</script>
|
|
</body>
|
|
</html>
|
|
""")
|
|
|
|
|
|
chat_sessions = {}
|
|
|
|
|
|
@app.websocket("/chat/ws/{session_id}")
|
|
async def websocket_chat(websocket: WebSocket, session_id: str):
|
|
await websocket.accept()
|
|
logger.info(f"[WS] Accepted connection for session: {session_id}")
|
|
|
|
if session_id not in chat_sessions:
|
|
chat_sessions[session_id] = []
|
|
|
|
try:
|
|
while True:
|
|
data = await websocket.receive_json()
|
|
logger.info(f"[WS] Received: {data}")
|
|
mensaje = data.get("msg", "")
|
|
session_id = data.get("session_id", session_id)
|
|
|
|
await websocket.send_json({"typing": True})
|
|
|
|
logger.info(f"[WS] Processing message: {mensaje}")
|
|
|
|
try:
|
|
# Usar AI con tools para respuestas inteligentes
|
|
logger.info(f"[WS] Processing: {mensaje}")
|
|
respuesta = await chat_with_ai(mensaje, session_id)
|
|
|
|
chat_sessions[session_id].append({"role": "user", "content": mensaje})
|
|
chat_sessions[session_id].append(
|
|
{"role": "assistant", "content": respuesta}
|
|
)
|
|
|
|
await websocket.send_json({"typing": False})
|
|
await websocket.send_json({"msg": respuesta})
|
|
logger.info("[WS] Response sent")
|
|
|
|
except Exception as e:
|
|
logger.error(f"[WS] Error: {e}")
|
|
await websocket.send_json({"typing": False})
|
|
await websocket.send_json(
|
|
{"msg": "Ups, algo salió mal. ¿Podés repetir la consulta?"}
|
|
)
|
|
|
|
except WebSocketDisconnect:
|
|
pass
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import uvicorn
|
|
|
|
uvicorn.run(app, host="0.0.0.0", port=8000)
|