afv-library/skills/data360-code-extension-generate/references/quick-reference.md

Data Cloud Code Extension - Quick Reference

Command Cheat Sheet

Initialize Project

# Create script project
sf data-code-extension script init --package-dir <directory>

# Create function project
sf data-code-extension function init --package-dir <directory>

# Examples
sf data-code-extension script init --package-dir .
sf data-code-extension script init --package-dir my-transform

Scan for Permissions

# Basic scan
sf data-code-extension script scan --entrypoint ./payload/entrypoint.py

# Preview without saving
sf data-code-extension script scan --entrypoint ./payload/entrypoint.py --dry-run

# Custom config location
sf data-code-extension script scan --entrypoint ./payload/entrypoint.py --config ./custom-config.json

# Skip requirements.txt
sf data-code-extension script scan --entrypoint ./payload/entrypoint.py --no-requirements

Run Locally

# Basic run
sf data-code-extension script run --entrypoint ./payload/entrypoint.py --target-org <org_alias>

# With custom config
sf data-code-extension script run --entrypoint ./payload/entrypoint.py -o <org_alias> -c custom-config.json

# Examples
sf data-code-extension script run --entrypoint ./payload/entrypoint.py --target-org afvibe
sf data-code-extension script run --entrypoint ./payload/entrypoint.py -o afvibe

Deploy

# Minimal deployment (MUST include --package-dir ./payload)
sf data-code-extension script deploy \
  --target-org <org_alias> \
  --name <name> \
  --package-version <version> \
  --description "<description>" \
  --package-dir ./payload

# Full options
sf data-code-extension script deploy \
  --target-org <org_alias> \
  --name <name> \
  --package-version <version> \
  --description "<description>" \
  --cpu-size <CPU_L|CPU_XL|CPU_2XL|CPU_4XL> \
  --package-dir ./payload

# Examples (CRITICAL: Always include --package-dir ./payload)
sf data-code-extension script deploy \
  --target-org afvibe \
  --name Employee_Upper \
  --package-version 1.0.0 \
  --description "Uppercase employee positions" \
  --package-dir ./payload

Common Workflows

New Project from Scratch

# 1. Create directory
mkdir my-transform && cd my-transform

# 2. Initialize
sf data-code-extension script init --package-dir .

# 3. Edit payload/entrypoint.py with your transformation

# 4. Scan
sf data-code-extension script scan --entrypoint ./payload/entrypoint.py

# 5. Test
sf data-code-extension script run --entrypoint ./payload/entrypoint.py --target-org afvibe

# 6. Deploy (MUST include --package-dir ./payload)
sf data-code-extension script deploy \
  --target-org afvibe \
  --name MyTransform \
  --package-version 1.0.0 \
  --description "My transformation" \
  --package-dir ./payload

Update Existing Code Extension

# 1. Edit payload/entrypoint.py

# 2. Re-scan
sf data-code-extension script scan --entrypoint ./payload/entrypoint.py

# 3. Test
sf data-code-extension script run --entrypoint ./payload/entrypoint.py -o afvibe

# 4. Deploy with new version (include --package-dir ./payload)
sf data-code-extension script deploy \
  -o afvibe \
  -n MyTransform \
  --package-version 1.1.0 \
  --description "Updated transformation" \
  --package-dir ./payload

Python Code Patterns

Read/Write DLO

from datacustomcode import Client

client = Client()

# Read
df = client.read_dlo('Employee__dll')

# Transform
df['new_field'] = df['old_field'].str.upper()

# Write (modes: 'overwrite', 'append')
client.write_to_dlo('Output__dll', df, 'overwrite')

Read/Write DMO

# Read
df = client.read_dmo('EmployeeDMO')

# Write (modes: 'upsert', 'insert')
client.write_to_dmo('EmployeeDMO', df, 'upsert')

Multiple DLO Operations

# Read multiple
employees = client.read_dlo('Employee__dll')
departments = client.read_dlo('Department__dll')

# Join
merged = employees.merge(departments, on='dept_id')

# Write multiple
client.write_to_dlo('Enriched__dll', merged, 'overwrite')
client.write_to_dmo('EmployeeDMO', merged, 'upsert')

Data Transformations

import pandas as pd

# Filter
active = df[df['status'] == 'Active']

# Computed column
df['full_name'] = df['first'] + ' ' + df['last']

# Aggregate
summary = df.groupby('dept')['salary'].mean()

# Conditional
df['grade'] = df['position'].apply(
    lambda x: 'Senior' if 'VP' in x else 'Junior'
)

Option Reference

--cpu-size

• CPU_L - Small datasets (< 1M records)
• CPU_XL - Medium datasets (1M-5M)
• CPU_2XL - Large datasets (5M-10M) [default]
• CPU_4XL - Very large (> 10M records)

Write Modes

• overwrite - Replace all data
• append - Add to existing data
• upsert - Update or insert (DMO only)
• insert - Insert only (DMO only)

Troubleshooting Quick Fixes

# Plugin not found
sf plugins install @salesforce/plugin-data-codeextension

# Python SDK missing
pip install salesforce-data-customcode

# Verify Python version (must be 3.11.x)
python --version

# Org not connected
sf org login web --alias <org_alias>

# Config missing
sf data-code-extension script scan --entrypoint ./payload/entrypoint.py

# Docker not running (for deploy)
# Start Docker Desktop

File Structure

my-project/
├── payload/
│   ├── entrypoint.py      # Main code
│   └── config.json        # Auto-generated permissions
├── requirements.txt       # Auto-generated dependencies
└── README.md

config.json Format

{
  "version": "1.0",
  "permissions": {
    "read": ["Employee__dll", "Department__dll"],
    "write": ["Enriched__dll"]
  },
  "resources": {
    "cpu_size": "CPU_2XL"
  }
}

Common Errors

Error	Quick Fix
Plugin not found	sf plugins install @salesforce/plugin-data-codeextension
Python SDK missing	pip install salesforce-data-customcode
Wrong Python version	Use pyenv to install 3.11.0
Org not connected	sf org login web --alias <alias>
Config missing	Run scan command
DLO not found	Check DLO name, use data360-schema-get skill
Docker error	Start Docker Desktop

Deployment Checklist

• Code written in entrypoint.py
• Scanned for permissions
• Tested locally
• Version number decided
• Description added
• CPU size chosen
• Docker running
• Org authenticated

Resources

• Plugin: https://github.com/salesforcecli/plugin-data-code-extension
• Python SDK: https://github.com/forcedotcom/datacloud-customcode-python-sdk
• Data Cloud Docs: https://help.salesforce.com/s/articleView?id=sf.c360_a_intro.htm