SkillOPIC

应用简介

实施Odoo电子数据交换(EDI)指南:X12、EDIFACT文档映射、合作伙伴注册和自动化订单处理。

---
name: odoo-edi-connector
description: "Guide for implementing EDI (Electronic Data Interchange) with Odoo: X12, EDIFACT document mapping, partner onboarding, and automated order processing."
risk: unknown
source: community
---

# Odoo EDI Connector

## Overview

Electronic Data Interchange (EDI) is the standard for automated B2B document exchange — purchase orders, invoices, ASNs (Advance Shipping Notices). This skill guides you through mapping EDI transactions (ANSI X12 or EDIFACT) to Odoo business objects, setting up trading partner configurations, and automating inbound/outbound document flows.

## When to Use This Skill

- A retail partner requires EDI 850 (Purchase Orders) to do business with you.
- You need to send EDI 856 (ASN) when goods are shipped.
- Automating EDI 810 (Invoice) generation from Odoo confirmed deliveries.
- Mapping EDI fields to Odoo fields for a new trading partner.

## How It Works

1. **Activate**: Mention `@odoo-edi-connector` and specify the EDI transaction set and trading partner.
2. **Map**: Receive a complete field mapping table between EDI segments and Odoo fields.
3. **Automate**: Get Python code to parse incoming EDI files and create Odoo records.

## EDI ↔ Odoo Object Mapping

| EDI Transaction | Odoo Object |
|---|---|
| 850 Purchase Order | `sale.order` (inbound customer PO) |
| 855 PO Acknowledgment | Confirmation email / SO confirmation |
| 856 ASN (Advance Ship Notice) | `stock.picking` (delivery order) |
| 810 Invoice | `account.move` (customer invoice) |
| 846 Inventory Inquiry | `product.product` stock levels |
| 997 Functional Acknowledgment | Automated receipt confirmation |

## Examples

### Example 1: Parse EDI 850 and Create Odoo Sale Order (Python)

```python
from pyx12 import x12file  # pip install pyx12
from datetime import datetime

import xmlrpc.client
import os

odoo_url = os.getenv("ODOO_URL")
db = os.getenv("ODOO_DB")
pwd = os.getenv("ODOO_API_KEY") 
uid = int(os.getenv("ODOO_UID", "2"))

models = xmlrpc.client.ServerProxy(f"{odoo_url}/xmlrpc/2/object")

def process_850(edi_file_path):
    """Parse X12 850 Purchase Order and create Odoo Sale Order"""
    with x12file.X12File(edi_file_path) as f:
        for transaction in f.get_transaction_sets():
            # Extract header info (BEG segment)                     
            po_number = transaction['BEG'][3]    # Purchase Order Number                                                    
            po_date   = transaction['BEG'][5]    # Purchase Order Date 

            # IDEMPOTENCY CHECK: Verify PO doesn't already exist in Odoo
            existing = models.execute_kw(db, uid, pwd, 'sale.order', 'search', [
                [['client_order_ref', '=', po_number]]
            ])
            if existing:
                print(f"Skipping: PO {po_number} already exists.")
                continue 

            # Extract partner (N1 segment — Buyer)


                        # Extract partner (N1 segment — Buyer)                  
            partner_name = transaction.get_segment('N1')[2] if transaction.get_segment('N1') else "Unknown"                                                                             
            
            # Find partner in Odoo                                  
            partner = models.execute_kw(db, uid, pwd, 'res.partner', 'search',                                                  
                                [[['name', 'ilike', partner_name]]])                
            
            if not partner:
                print(f"Error: Partner '{partner_name}' not found. Skipping transaction.")
                continue
                
            partner_id = partner[0]

            # Extract line items (PO1 segments)
            order_lines = []
            for po1 in transaction.get_segments('PO1'):
                sku     = po1[7]    # Product ID
                qty     = float(po1[2])
                price   = float(po1[4])

                product = models.execute_kw(db, uid, pwd, 'product.product', 'search',
                    [[['default_code', '=', sku]]])
                if product:
                    order_lines.append((0, 0, {
                        'product_id': product[0],
                        'product_uom_qty': qty,
                        'price_unit': price,
                    }))

            # Create Sale Order
            if partner_id and order_lines:
                models.execute_kw(db, uid, pwd, 'sale.order', 'create', [{
                    'partner_id': partner_id,
                    'client_order_ref': po_number,
                    'order_line': order_lines,
                }])
```

### Example 2: Send EDI 997 Acknowledgment

```python
def generate_997(isa_control, gs_control, transaction_control):
    """Generate a functional acknowledgment for received EDI"""
    today = datetime.now().strftime('%y%m%d')
    return f"""ISA*00*          *00*          *ZZ*YOURISAID      *ZZ*PARTNERISAID   *{today}*1200*^*00501*{isa_control}*0*P*>~
GS*FA*YOURGID*PARTNERGID*{today}*1200*{gs_control}*X*005010X231A1~
ST*997*0001~
AK1*PO*{gs_control}~
AK9*A*1*1*1~
SE*4*0001~
GE*1*{gs_control}~
IEA*1*{isa_control}~"""
```

## Best Practices

- ✅ **Do:** Store every raw EDI transaction in an audit log table before processing.
- ✅ **Do:** Always send a **997 Functional Acknowledgment** within 24 hours of receiving a transaction.
- ✅ **Do:** Negotiate a test cycle with trading partners before going live — use test ISA qualifier `T`.
- ❌ **Don't:** Process EDI files synchronously in web requests — queue them for async processing.
- ❌ **Don't:** Hardcode trading partner qualifiers — store them in a configuration table per partner.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
发布日期

5/16/2026

提供方

SkillOPIC

来源类型

导入

sickn33
other

数据安全

使用 Skill 时,您的对话内容将被发送至 AI 模型进行处理。我们会严格保护您的隐私数据,不会将您的对话内容用于模型训练或分享给第三方。 以下为此 Skill 的数据处理说明。

此 Skill 将处理您的对话输入

您的消息将作为 Prompt 上下文发送至 AI 模型

所有通信均通过加密通道传输
对话记录仅保存在本地

您可以随时清除本地对话历史,清除后数据不可恢复

评分和评价

已验证评分
0 / 5
0条评价
1
0
2
0
3
0
4
0
5
0

暂无评价,快来抢沙发吧!

Skill 信息

了解此 Skill 的详细信息和功能特性

其他

职场发展

文件结构
1 个文件· 5.9 KB
SKILL.md5.9 KB
版本历史
  • 公开
  • 来源于用户导入

如需详细了解相关要求,请访问帮助中心,或给我们提交反馈信息