FunctionGraph Function Creation & Invocation Skill

Overview

This skill manages FunctionGraph functions on Huawei Cloud, supporting creation with advanced configuration (VPC, environment variables) and function invocation (sync/async).

Architecture: Uses Huawei Cloud FunctionGraph Python SDK to interact with FunctionGraph service.

Applicable Scenarios:

• Quickly create cloud functions without manual console login
• Batch creation of multiple functions with VPC or environment variable configuration
• Foundation component for workflow deployment
• CI/CD integration for function deployment
• Invoke and test deployed functions

Typical Use Cases:

1. "Create a Python function named my_handler"
2. "Deploy this code to FunctionGraph with VPC configuration"
3. "Create a function with environment variables"
4. "Invoke the function I just created"

Prerequisites

1. Python Environment

• Python 3.9+
• Verify: python --version

2. SDK Installation

pip install huaweicloudsdkfunctiongraph

3. Authentication Configuration

• Valid Huawei Cloud credentials (AK/SK mode)
• Configure via environment variables:

export HUAWEI_AK="your-access-key"
export HUAWEI_SK="your-secret-key"
export HUAWEI_REGION="cn-north-4"
export HUAWEI_PROJECT_ID="your-project-id"

Security Rules:

• NEVER expose AK/SK values in code or logs
• NEVER let users input AK/SK directly in conversation
• ALWAYS use environment variables for credentials
• Recommend using IAM user instead of main account

4. IAM Permission Requirements

• functiongraph:function:create - Create function
• functiongraph:function:get - Query function details
• functiongraph:function:list - List functions
• functiongraph:function:invoke - Invoke function

See IAM Policies for detailed permission configuration.

Workflow

User Request → Parse Parameters → Validate Input
  → Create Function (with optional VPC/Env Vars) → Return Function URN
  → (Optional) Invoke Function → Return Invocation Result

Usage

Create a Function

cd scripts

# Basic creation
python create_function.py create \
  --name my_function \
  --runtime Python3.9 \
  --handler index.handler \
  --code main.py

# With VPC configuration
python create_function.py create \
  --name my_function \
  --runtime Python3.9 \
  --handler index.handler \
  --code main.py \
  --vpc-id vpc-xxx \
  --subnet-id subnet-xxx \
  --security-group-id sg-xxx

# With environment variables
python create_function.py create \
  --name my_function \
  --runtime Python3.9 \
  --handler index.handler \
  --code main.py \
  --env-vars '{"DB_HOST":"localhost","DB_PORT":"3306"}'

# Full configuration
python create_function.py create \
  --name my_function \
  --runtime Python3.9 \
  --handler index.handler \
  --code main.py \
  --memory 256 \
  --timeout 30 \
  --description "My production function" \
  --vpc-id vpc-xxx \
  --subnet-id subnet-xxx \
  --security-group-id sg-xxx \
  --env-vars '{"DEBUG":"true","LOG_LEVEL":"info"}'

Invoke a Function

# Synchronous invocation (default)
python create_function.py invoke \
  --function-urn urn:fg:cn-north-4:PROJECT_ID:function:my_function:latest \
  --body '{"key1":"value1","source":"test"}'

# Asynchronous invocation
python create_function.py invoke \
  --function-urn urn:fg:cn-north-4:PROJECT_ID:function:my_function:latest \
  --body '{"async":true}' \
  --invocation-type async

# Invoke with log tail (returns last 4KB of log)
python create_function.py invoke \
  --function-urn urn:fg:cn-north-4:PROJECT_ID:function:my_function:latest \
  --body '{"test":"data"}' \
  --log-type tail

Parameter Confirmation

Create Parameters

Invoke Parameters

Runtime Options

Verification Method

See Verification Method for detailed procedures.

Quick Verification

# Verify function exists using SDK

from huaweicloudsdkfunctiongraph.v2.functiongraph_client import FunctionGraphClient
from huaweicloudsdkfunctiongraph.v2.model import ListFunctionsRequest

# List functions to verify creation
client = FunctionGraphClient.new_builder().build()
request = ListFunctionsRequest()
response = client.list_functions(request)
print(f"Total functions: {len(response.functions)}")

Output Format

Create Output

The script returns a structured JSON object:

{
  "status": "success",
  "function_urn": "urn:fss:cn-north-4:project_id:function:default:my_function",
  "function_name": "my_function",
  "runtime": "Python3.9",
  "memory_size": 128,
  "timeout": 3,
  "handler": "index.handler",
  "code_size": 1234,
  "message": "Function created successfully"
}

Invoke Output

{
  "status": "success",
  "function_urn": "urn:fss:cn-north-4:project_id:function:default:my_function",
  "invocation_type": "sync",
  "result": {
    "output": "..."
  },
  "request_id": "a1b2c3d4-...",
  "message": "Function invoked successfully"
}

Best Practices

1. Test before production: Always test in a development environment first
2. Monitor resources: Set up monitoring for function invocations and errors
3. Use environment variables: Store sensitive data in environment variables
4. Implement error handling: Add proper error handling in function code
5. Set appropriate timeouts: Configure timeout based on function logic
6. VPC for private resources: Use VPC configuration when functions need access to private network resources

Error Handling

References

• FunctionGraph Documentation
• Python SDK Documentation
• IAM Policies Guide
• Verification Method
• Acceptance Criteria