MikoPBX OpenAPI Analyzing

Extract and analyze OpenAPI specification to validate endpoints, generate tests, and ensure API compliance.

What This Skill Does

• Fetches OpenAPI 3.1.0 specification from MikoPBX (~9MB, 259 endpoints)
• Extracts endpoint details: parameters, request/response schemas
• Validates compliance with OpenAPI 3.1.0 standard
• Compares code with spec: finds missing parameters and discrepancies
• Generates test data: from schema examples and types
• Provides Python/CLI interface: for automation and integration

When to Use This Skill

This is a helper skill used by other skills and in specific scenarios:

Use automatically with:

• mikopbx-endpoint-validator - validates against OpenAPI spec
• mikopbx-api-test-generator - generates tests from spec

Use manually when:

• Validating API compliance before releases
• Checking endpoint documentation completeness
• Generating test data from schemas
• Comparing code implementation with OpenAPI definition
• Creating API documentation

How It Works

1. Fetch OpenAPI spec from MikoPBX (internal or external URL)
2. Analyze using Python analyzer or CLI commands
3. Extract endpoint details (parameters, schemas, responses)
4. Validate compliance with OpenAPI 3.1.0 standard
5. Compare with code to find discrepancies
6. Generate test data or documentation

---

Quick Start

Step 1: Fetch OpenAPI Specification

The OpenAPI spec is available at two endpoints:

• Internal (no auth): http://mikopbx_php83.localhost:8081/pbxcore/api/v3/openapi:getSpecification
• External (auth required): https://mikopbx_php83.localhost:8445/pbxcore/api/v3/openapi:getSpecification

Fetch from inside container (recommended):

# Get container ID
CONTAINER_ID=$(docker ps -q -f name=mikopbx)

# Fetch spec
docker exec $CONTAINER_ID curl -s http://mikopbx_php83.localhost:8081/pbxcore/api/v3/openapi:getSpecification > /tmp/mikopbx_openapi.json

# Verify
wc -l /tmp/mikopbx_openapi.json  # ~116K lines
ls -lh /tmp/mikopbx_openapi.json # ~9MB

Fetch from outside container (requires Bearer token):

curl -H "Authorization: Bearer $TOKEN" \
  https://mikopbx_php83.localhost:8445/pbxcore/api/v3/openapi:getSpecification \
  -k > /tmp/mikopbx_openapi.json

Step 2: Use Python Analyzer

The analyzer is located at scripts/openapi_analyzer.py.

Basic usage:

# Get API info
python3 scripts/openapi_analyzer.py info

# List all endpoints
python3 scripts/openapi_analyzer.py list

# Filter endpoints
python3 scripts/openapi_analyzer.py list extensions

# Get endpoint details
python3 scripts/openapi_analyzer.py get "/pbxcore/api/v3/extensions" POST

# Validate endpoint
python3 scripts/openapi_analyzer.py validate "/pbxcore/api/v3/extensions" POST

Python API:

import sys
sys.path.insert(0, 'scripts')
from openapi_analyzer import MikoPBXOpenAPIAnalyzer

# Load analyzer
analyzer = MikoPBXOpenAPIAnalyzer('/tmp/mikopbx_openapi.json')

# Get endpoint
endpoint = analyzer.get_endpoint('/pbxcore/api/v3/extensions', 'POST')
print(endpoint['summary'])
print(endpoint['requestBody']['required'])

# Validate compliance
result = analyzer.validate_endpoint_compliance('/pbxcore/api/v3/extensions', 'POST')
print(f"Valid: {result['valid']}, Score: {result['score']}/100")

# Generate test data
test_data = analyzer.generate_test_data(endpoint)
print(test_data)

---

Top 5 Use Cases

Use Case 1: Validate Endpoint Compliance

Check if endpoint meets OpenAPI 3.1.0 standards.

# Validate single endpoint
python3 scripts/openapi_analyzer.py validate "/pbxcore/api/v3/extensions" POST

Output:

{
  "valid": true,
  "issues": [],
  "warnings": [],
  "score": 100
}

What it checks:

• ✓ Has summary and operationId
• ✓ POST/PUT/PATCH has requestBody
• ✓ Has responses defined
• ✓ Has expected response codes (200, 400, 404, etc.)

---

Use Case 2: Compare OpenAPI with Code

Find discrepancies between spec and DataStructure implementation.

import sys
sys.path.insert(0, 'scripts')
from openapi_analyzer import MikoPBXOpenAPIAnalyzer

analyzer = MikoPBXOpenAPIAnalyzer()
endpoint = analyzer.get_endpoint('/pbxcore/api/v3/extensions', 'POST')

# Parameters from your DataStructure.php
code_params = ['number', 'type', 'callerid', 'userid', 'internal_id']

# Compare
comparison = analyzer.compare_with_code(endpoint, code_params)

print(f"Compliance: {comparison['compliance'] * 100:.1f}%")
print(f"In spec only: {comparison['in_spec_only']}")
print(f"In code only: {comparison['in_code_only']}")
print(f"In both: {comparison['in_both']}")

Output:

Compliance: 92.3%
In spec only: {'mobile_number', 'email'}
In code only: {'internal_id'}
In both: {'number', 'type', 'callerid', 'userid'}

Action: Add missing parameters to code or update OpenAPI spec.

---

Use Case 3: Generate Test Data

Create test data from OpenAPI examples.

analyzer = MikoPBXOpenAPIAnalyzer()
endpoint = analyzer.get_endpoint('/pbxcore/api/v3/extensions', 'POST')

# Generate test data
test_data = analyzer.generate_test_data(endpoint)
print(test_data)

Output:

{
  "number": "201",      # from example
  "type": "SIP",        # from enum
  "callerid": "Test User",  # from example
  "userid": "1"         # from example
}

Use in tests:

response = requests.post(
    f"{BASE_URL}/pbxcore/api/v3/extensions",
    json=test_data,
    headers=headers
)
assert response.status_code == 201

---

Use Case 4: Find Endpoints by Pattern

Discover all endpoints related to a resource.

# Find all extension endpoints
python3 scripts/openapi_analyzer.py list extensions

Output:

/pbxcore/api/v3/extensions
/pbxcore/api/v3/extensions/{id}
/pbxcore/api/v3/extensions/{id}:copy
/pbxcore/api/v3/extensions:getDefault
/pbxcore/api/v3/extensions:getForSelect

Use to:

• Explore API structure
• Find custom actions (with :)
• Plan test coverage
• Generate documentation

---

Use Case 5: Extract Schema Details

Get component schema for data modeling.

# Get Extension schema
python3 scripts/openapi_analyzer.py schema Extension

Output:

{
  "type": "object",
  "properties": {
    "id": {"type": "string"},
    "number": {"type": "string", "example": "201"},
    "type": {"type": "string", "enum": ["SIP", "IAX", "QUEUE"]},
    "callerid": {"type": "string"}
  },
  "required": ["number", "type"]
}

Extract required fields:

python3 scripts/openapi_analyzer.py schema Extension | jq -r '.required[]'

Use to:

• Validate data models
• Generate TypeScript/PHP interfaces
• Create mock data
• Document data structures

---

OpenAPI Specification Details

Metadata

• OpenAPI Version: 3.1.0
• API Version: 3.0.0
• Total Endpoints: 259
• Total Schemas: 96
• File Size: ~9MB, 116K lines JSON

Structure

{
  "openapi": "3.1.0",
  "info": {
    "title": "MikoPBX REST API",
    "version": "3.0.0"
  },
  "paths": {
    "/pbxcore/api/v3/extensions": {
      "get": {...},
      "post": {...}
    }
  },
  "components": {
    "schemas": {
      "Extension": {...},
      "ExtensionListItem": {...}
    }
  }
}

---

Integration Patterns

With mikopbx-endpoint-validator

# 1. Fetch OpenAPI spec
docker exec $CONTAINER_ID curl -s http://mikopbx_php83.localhost:8081/pbxcore/api/v3/openapi:getSpecification > /tmp/openapi.json

# 2. Get endpoint from OpenAPI
python3 scripts/openapi_analyzer.py get "/pbxcore/api/v3/extensions" POST > /tmp/endpoint.json

# 3. Compare with DataStructure.php
# (Extract params from code, then compare)

# 4. Validate compliance
python3 scripts/openapi_analyzer.py validate "/pbxcore/api/v3/extensions" POST

See integration-examples.md for complete workflows.

With mikopbx-api-test-generator

# Generate pytest test from OpenAPI
analyzer = MikoPBXOpenAPIAnalyzer()
endpoint = analyzer.get_endpoint('/pbxcore/api/v3/extensions', 'POST')
test_data = analyzer.generate_test_data(endpoint)

# Use test_data in generated pytest...

See integration-examples.md for test generation.

---

Cache Strategy

OpenAPI spec is large (9MB), so cache it:

SPEC_FILE="/tmp/mikopbx_openapi.json"
CACHE_TTL=3600  # 1 hour

# Check cache age
if [ ! -f "$SPEC_FILE" ] || [ $(($(date +%s) - $(stat -f %m "$SPEC_FILE"))) -gt $CACHE_TTL ]; then
    echo "Fetching fresh spec..."
    docker exec $CONTAINER_ID curl -s http://mikopbx_php83.localhost:8081/pbxcore/api/v3/openapi:getSpecification > "$SPEC_FILE"
else
    echo "Using cached spec"
fi

Python caching:

# Good: Create once, reuse
analyzer = MikoPBXOpenAPIAnalyzer()
for path in paths:
    endpoint = analyzer.get_endpoint(path, 'GET')

# Bad: Recreates analyzer each time
for path in paths:
    analyzer = MikoPBXOpenAPIAnalyzer()  # Reloads 9MB file!

---

Common Patterns

Pattern 1: Batch Validation

Validate all endpoints and find issues:

python3 scripts/openapi_analyzer.py list | while read path; do
    for method in GET POST PUT DELETE; do
        python3 scripts/openapi_analyzer.py validate "$path" "$method" 2>/dev/null
    done
done | jq -s 'map(select(.valid == false))'

Pattern 2: Generate Compliance Report

#!/bin/bash
total=0
valid=0
total_score=0

while read path; do
    result=$(python3 scripts/openapi_analyzer.py validate "$path" "POST" 2>/dev/null)
    if [ $? -eq 0 ]; then
        total=$((total + 1))
        [ "$(echo "$result" | jq -r '.valid')" == "true" ] && valid=$((valid + 1))
        total_score=$((total_score + $(echo "$result" | jq -r '.score')))
    fi
done < <(python3 scripts/openapi_analyzer.py list)

echo "Valid: $valid/$total ($((valid * 100 / total))%)"
echo "Average score: $((total_score / total))/100"

Pattern 3: Extract Test Data

python3 scripts/openapi_analyzer.py get "/pbxcore/api/v3/extensions" POST | \
  jq '.requestBody.properties | to_entries | map({
    key: .key,
    value: (.value.example // .value.enum[0] // "test")
  }) | from_entries'

---

Output Format

Always provide structured reports:

📋 OpenAPI Analysis Report
==========================

🔍 Endpoint: POST /pbxcore/api/v3/extensions
📖 Operation ID: createExtension
📝 Summary: Создать новый добавочный

✅ OpenAPI Compliance:
   Score: 95/100
   Status: Valid
   Issues: None
   Warnings: Missing description for parameter 'callerid'

📊 Parameter Comparison:
   ✅ In both (5): number, type, callerid, userid, show_in_phonebook
   ⚠️  In OpenAPI only (2): mobile_number, email
   ⚠️  In Code only (1): internal_extension_id

📝 Required Parameters:
   • number (string, example: "201")
   • type (enum: SIP, IAX, QUEUE, IVR, CONFERENCE, EXTERNAL)

💡 Recommendations:
   1. Add 'mobile_number' and 'email' to DataStructure
   2. Add description for 'callerid' parameter in OpenAPI
   3. Consider if 'internal_extension_id' should be in OpenAPI spec

---

Troubleshooting

Spec fetch fails

# Check container is running
docker ps | grep mikopbx

# Try internal URL
docker exec $CONTAINER_ID curl -s http://mikopbx_php83.localhost:8081/pbxcore/api/v3/openapi:getSpecification

# Check curl works in container
docker exec $CONTAINER_ID curl --version

Python import error

# Ensure script path is correct
python3 scripts/openapi_analyzer.py info

# Or use full path
python3 /full/path/to/scripts/openapi_analyzer.py info

Endpoint not found

# List available endpoints
python3 scripts/openapi_analyzer.py list

# Check exact path format (include /pbxcore/api/v3 prefix)
python3 scripts/openapi_analyzer.py get "/pbxcore/api/v3/extensions" POST

Large output

# Pipe to less
python3 scripts/openapi_analyzer.py get "/path" POST | less

# Save to file
python3 scripts/openapi_analyzer.py get "/path" POST > /tmp/endpoint.json

# Extract specific fields
python3 scripts/openapi_analyzer.py get "/path" POST | jq '.summary'

---

Additional Resources

Complete Documentation

• Python API Reference - Full API documentation for MikoPBXOpenAPIAnalyzer class
• CLI Usage Guide - Complete command-line interface reference with examples
• Integration Examples - Integration with mikopbx-endpoint-validator and mikopbx-api-test-generator

Quick Links

• OpenAPI 3.1.0 Specification: https://spec.openapis.org/oas/v3.1.0
• Python analyzer: scripts/openapi_analyzer.py
• MikoPBX OpenAPI endpoint: /pbxcore/api/v3/openapi:getSpecification

---

Success Criteria

Analysis is successful when:

• ✅ OpenAPI spec fetched successfully
• ✅ Endpoint found in specification
• ✅ All parameters extracted correctly
• ✅ Schemas resolved (including $ref)
• ✅ Comparison with code completed
• ✅ Validation results clear and actionable
• ✅ Test data generated successfully

Best Practices

1. Cache the spec - It's 9MB, fetch once per session or hour
2. Use Python for complex analysis - CLI for simple queries
3. Validate both ways - Code→OpenAPI and OpenAPI→Code
4. Check examples - Use for test data generation
5. Monitor compliance - Aim for 90+ score
6. Track required fields - Critical for validation
7. Document discrepancies - Note mismatches for later fixes