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469
.node-red/.config.nodes.json.backup Normal file
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3
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566
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@ -291,31 +282,55 @@
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"func": "var productos = \"\";\nvar contact = \"\";\nvar sector = \"\";\nvar instagram = \"\";\nvar facebook = \"\";\nvar website = \"\";\nvar email = \"\";\n\nlet emailRegex = /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/;\nlet phoneRegex = /(\\+?\\d{1,4}[-.\\s]?)?(\\(?\\d{2,4}\\)?[-.\\s]?)?\\d{3,4}[-.\\s]?\\d{3,4}/g;\n \nif (msg.payload['Products'].startsWith(\"Sector\") ) {\n sector=msg.payload['Products'].substring(8);\n} else {\n if (msg.payload['Products'].startsWith(\"Produce\")) {\n productos = msg.payload['Products'].substring(9)\n } else {\n productos = msg.payload['Products'];\n }\n}\n\nif (emailRegex.test(msg.payload['Email'])) {\n email = msg.payload['Email'];\n}\n\nif (emailRegex.test(msg.payload['Contact Information'])) {\n email = msg.payload['Contact Information'];\n} else {\n contact = msg.payload['Contact Information']\n}\n\nif (msg.payload['Instagram Link'] == \"null\") {\n msg.payload['Instagram Link'] = \"\";\n};\n\nif (msg.payload['Facebook Link'] == \"null\") {\n msg.payload['Facebook Link'] = \"\";\n};\n\nif (msg.payload['Company Details Link'] == \"null\") {\n msg.payload['Company Details Link'] = \"\";\n};\n\nif (msg.payload['Instagram Link'].search(\"instagram\") == -1) {\n if (msg.payload['Instagram Link'].search(\"facebook\") == -1) {\n website = msg.payload['Instagram Link'];\n } else {\n facebook = msg.payload['Instagram Link'];\n }\n} else {\n instagram = msg.payload['Instagram Link'];\n};\n\nif (msg.payload['Facebook Link'].search(\"facebook\") == -1) { \n if (msg.payload['Facebook Link'].search(\"instagram\") == -1) {\n if (website == \"\") {\n website = msg.payload['Facebook Link'];\n } \n } else {\n if (instagram == \"\") {\n instagram = msg.payload['Facebook Link'];\n }\n }\n} else {\n facebook = msg.payload['Facebook Link'];\n};\n\nvar industry = {\n \"Position\": msg.payload['Position'],\n \"Company Name\": msg.payload['Company Name'].toLocaleUpperCase(),\n \"Sector\": sector.replace(/\\b\\w+/g, word => word.charAt(0).toUpperCase() + word.slice(1).toLowerCase()),\n \"Products\": productos.toLowerCase().replace(/(^|\\.\\s+)([a-z])/g, (match, sep, letter) => sep + letter.toUpperCase()),\n \"Company Size\": msg.payload['Company Size'],\n \"Number of Employees\": msg.payload['Number of Employees'],\n \"Location\": msg.payload['Location'],\n \"Contact Information\": contact,\n \"Email\": email,\n \"Website URL\": website,\n \"Instagram Link\": instagram,\n \"Facebook Link\": facebook,\n \"Company Details Link\": msg.payload['Company Details Link'],\n \"Company Image\": msg.payload['Company Image']\n};\n\nmsg.payload = {};\nmsg.payload = industry;\nreturn msg;",
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"initialize": "",
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"x": 580,
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@ -328,10 +343,10 @@
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@ -342,268 +357,62 @@
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{
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],
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"paytoqs": "ignore",
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{
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},
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"name": "Save industrias (csv-raw)",
"filename": "/home/mrosero/Documentos/mercadeo/industria/mfg001_raw_507.csv",
"filenameType": "str",
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},
@ -613,234 +422,37 @@
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"name": "",
"mode": "auto",
"build": "array",
"build": "string",
"property": "payload",
"propertyType": "msg",
"key": "topic",
"joiner": "\\n",
"joinerType": "str",
"useparts": true,
"useparts": false,
"accumulate": false,
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"count": "",
"reduceRight": false,
"reduceExp": "",
"reduceInit": "",
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"id": "d83575dc7c3a1a52",
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"z": "7f0acab470911e6e",
"name": "To CSV",
"spec": "rfc",
"sep": ",",
"hdrin": "",
"hdrout": "all",
"multi": "mult",
"ret": "\\r\\n",
"temp": "Position,Company Name,Sector,Products,Location,Company Size,Number of Employees,Contact Information,Email,Company Details Link,Company Image,Instagram Link,Facebook Link,Website URL",
"skip": "0",
"strings": true,
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],
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{
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"method": "GET",
"ret": "txt",
"paytoqs": "ignore",
"url": "https://api.browse.ai/v2/status",
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"complete": "payload.robots.items",
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},
{
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15
CHANGELOG.md
View file

@ -5,20 +5,6 @@ Todos los cambios notables en este proyecto se documentarán en este archivo.
El formato está basado en [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
y este proyecto adhiere a [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [0.5.0] - 2025-03-26
### Añadido
- Documentación detallada sobre herramientas y plataformas utilizadas
- Nueva sección "Herramientas de Procesamiento" en README.md
- Información sobre integración con Browse AI y procesamiento mediante expresiones regulares
- Detalles sobre fuentes de datos (IPACOOP, MICI)
- Requisito de cuenta en Browse AI para el flujo de industrias
### Mejorado
- Sección de tecnologías expandida con información más completa
- Detalles sobre el proceso de extracción y normalización de datos
- Documentación sobre el script personalizado para gestión del servicio
## [0.4.0] - 2025-03-26
### Añadido
@ -65,7 +51,6 @@ y este proyecto adhiere a [Semantic Versioning](https://semver.org/spec/v2.0.0.h
- Licencia privativa (LICENSE.md)
- Configuración inicial del repositorio
[0.5.0]: https://github.com/username/webservices/compare/v0.4.0...v0.5.0
[0.4.0]: https://github.com/username/webservices/compare/v0.3.0...v0.4.0
[0.3.0]: https://github.com/username/webservices/compare/v0.2.0...v0.3.0
[0.2.0]: https://github.com/username/webservices/compare/v0.1.0...v0.2.0

31
README.md
View file

@ -8,15 +8,11 @@
Plataforma de servicios web basada en Node-RED para orquestación y automatización de servicios WEBAPI. El proyecto incluye flujos automatizados para extracción de datos (web scraping) y procesamiento de información desde fuentes públicas.
## 🔧 Tecnologías y Plataformas
## 🔧 Tecnologías
```
Framework Principal: Node-RED v4.0.9
Framework: Node-RED v4.0.9
Plataforma: Node.js
Extracción de Datos: Browse AI, Web Scraping Directo
Análisis de Contenido: HTML Parser, Expresiones Regulares
Procesamiento: Transformación JSON/CSV, Normalización de Texto
Almacenamiento: Archivos CSV Locales
Fecha de Creación: 2025-03-23
```
@ -129,34 +125,11 @@ Flujo para procesar y normalizar datos de industrias manufactureras en Panamá.
**Fuente de datos:** MICI - Directorio de Empresas (datos preexistentes)
## 🛠️ Herramientas de Procesamiento
El proyecto utiliza varias herramientas especializadas para el procesamiento de datos:
### Extracción de Datos
- **Web Scraping Directo**: Utilizando nodos HTTP y HTML para obtener datos del sitio de IPACOOP
- **Browse AI**: Plataforma de automatización para scraping que facilita la extracción de datos estructurados de sitios complejos
### Procesamiento de Datos
- **HTML Parser**: Extracción y manipulación de tablas y elementos HTML
- **Expresiones Regulares**: Identificación de patrones para emails, teléfonos y URLs
- **Normalización de Texto**: Capitalización adecuada, eliminación de espacios innecesarios
- **Validación de Datos**: Verificación de formatos para información de contacto
### Fuentes de Datos
- **IPACOOP**: Instituto Panameño Autónomo Cooperativo (datos de cooperativas)
- **MICI**: Ministerio de Comercio e Industrias (directorio de empresas)
### Gestión del Servicio
- **Script Personalizado**: Facilita el inicio/detención del servicio de Node-RED
- **PM2**: Para ejecución como servicio en producción
## 🔍 Prerrequisitos
- Node.js 18.x o superior
- NPM 8.x o superior
- Permisos para instalar paquetes globales (opcional)
- Cuenta en Browse AI (para el flujo de industrias)
## ⚙️ Configuración