What does the Mock YAML Generator do?
The Mock YAML Generator creates realistic, structured YAML datasets and sequences populated with configurable placeholder mock data (such as UUIDs, sequential numbers, mock names, email addresses, phone numbers, cities, countries, date timestamps, custom numeric bounds, and boolean flags).
Core Concepts
Understanding mock YAML data generation options and structure synthesis:
- Field Type Generators: Supports specialized generator types including UUIDs, auto-incrementing numbers, first/last/full names, domain-customized emails, phone numbers, cities, countries, integers, and floats.
- Custom Numeric & Date Boundaries: Configure explicit minimum/maximum numeric ranges, decimal precision offsets, and starting/ending calendar date bounds.
- Deterministic Batch Synthesizing: Generates clean, parseable YAML sequences adhering strictly to YAML 1.2 syntax specifications.
How to use the tool?
- Configure Schema Fields: Click Add Field to define field names and assign data types (e.g.
userIdasID,emailasEmail Address,countryasCountry). - Set Record Count: Specify how many mock YAML sequence items to generate (between 1 and 1000 records).
- Copy & Export: Updates automatically in real time. Click Copy or Download to save your mock YAML document.
Related Developer Utilities
If you work with mock datasets, YAML transformation, and Kubernetes configuration testing, explore these complementary tools:
- Mock JSON Generator: Generate realistic mock JSON datasets with configurable schemas.
- YAML to TypeScript Converter: Generate TypeScript interfaces from mock YAML schemas.
- YAML to JSON Converter: Convert YAML manifests into standard JSON payloads.
- YAML Formatter: Clean and re-indent messy YAML configuration files.
REST API Integration
blueutils.com provides a free REST API endpoint (POST https://blueutils.com/api/yaml/generate) to programmatically generate structured, realistic mock YAML documents and sequences from configurable fields, type configurations, and target record densities.
API Request Parameters
| Name | Type | Description | Example |
|---|---|---|---|
fields |
Array | Non-empty array of field configuration objects containing name and type (aliases: schema, columns). |
[{"name":"id","type":"id"}] |
count |
Number | Count of mock objects to generate (min: 1, max: 20; aliases: records, rows, limit). Defaults to 10. |
10 |
API Request Payload Examples
cURL
curl -X POST https://blueutils.com/api/yaml/generate \
-H "Content-Type: application/json" \
-d '{
"fields": [
{ "name": "userId", "type": "id", "options": { "format": "uuid" } },
{ "name": "userName", "type": "fullName" },
{ "name": "userEmail", "type": "email" }
],
"count": 3
}'Python
import requests
url = "https://blueutils.com/api/yaml/generate"
payload = {
"fields": [
{"name": "userId", "type": "id", "options": {"format": "uuid"}},
{"name": "userName", "type": "fullName"},
{"name": "userEmail", "type": "email"}
],
"count": 3
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())Java
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
public class Main {
public static void main(String[] args) throws Exception {
String jsonPayload = """
{
"fields": [
{ "name": "userId", "type": "id", "options": { "format": "uuid" } },
{ "name": "userName", "type": "fullName" }
],
"count": 2
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://blueutils.com/api/yaml/generate"))
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(jsonPayload))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}API Response Parameters
| Name | Type | Description | Example |
|---|---|---|---|
isValid |
Boolean | Indicates whether generation completed successfully. | true |
result |
String | YAML formatted string containing generated sequence elements. | "- userId: ...\n" |
API Response Payload Examples
Success Response (HTTP 200 OK)
{
"isValid": true,
"result": "- userId: e12d5d8e-3be7-463d-82d2-5a9d8c2e6840\n userName: John Smith\n userEmail: john.smith@example.com\n"
}Validation Failure Response (HTTP 400 Bad Request)
{
"isValid": false,
"error": "Fields configuration must be a non-empty array."
}Rate Limit Exceeded Response (HTTP 429 Too Many Requests)
{
"error": "API rate limit exceeded. Please wait or contact support@blueutils.com."
}Why use an API to generate mock YAML?
Integrating the Mock YAML Generator API into automated DevOps pipelines, test suites, or AI agent tool calling provides key benefits:
- Rapid Script Validation: Instantly produces mock Kubernetes config maps and manifest sequences for automated deployment testing.
- Optimized Token Efficiency for AI Agents: LLMs spend hundreds of tokens writing out mock YAML sequences. Calling the API synthesizes structured datasets with zero hallucination.
- Deterministic Accuracy Without Hallucinations: Guarantees valid UUIDs, clean email formatting, and accurate numeric boundaries.
Native Usage
How to generate mock YAML data locally in terminal environments or scripts:
Windows (CMD / PowerShell)
# Generate mock YAML in PowerShell using Python
python -c "import yaml, random, uuid; print(yaml.dump([{'id': str(uuid.uuid4()), 'score': random.randint(1,100)} for _ in range(3)]))"Linux / Unix (Bash)
# Generate mock YAML using Python in Linux
python3 -c "import yaml, random, uuid; print(yaml.dump([{'id': str(uuid.uuid4()), 'score': random.randint(1,100)} for _ in range(3)]))"Python
Using Python yaml, random, and uuid:
import yaml
import random
import uuid
data = [
{
"id": str(uuid.uuid4()),
"name": random.choice(["Alice", "Bob", "Charlie"]),
"score": random.randint(10, 100)
}
for _ in range(3)
]
print(yaml.dump(data, sort_keys=False))Java
Using Java and SnakeYAML:
import org.yaml.snakeyaml.Yaml;
import java.util.*;
public class MockYamlExample {
public static void main(String[] args) {
List<Map<String, Object>> list = new ArrayList<>();
for (int i = 1; i <= 3; i++) {
Map<String, Object> record = new HashMap<>();
record.put("id", UUID.randomUUID().toString());
record.put("index", i);
list.add(record);
}
Yaml yaml = new Yaml();
System.out.println(yaml.dump(list));
}
}