jrv-mock-data

# jrv-mock-data Generate realistic test data instantly — no API key, no network. Supports dozens of data types, bulk generation, and multiple output formats including JSON, CSV, and SQL. ## Quick Start ```bash # Generate 10 fake users as JSON python3 scripts/mock_data.py user --count 10 # Generate fake email addresses python3 scripts/mock_data.py email --count 5 # Generate addresses python3 scripts/mock_data.py address --count 3 # Generate a custom record with multiple fields python3 scripts/mock_data.py record --fields "name,email,phone,company" --count 5 # Output as CSV python3 scripts/mock_data.py user --count 20 --format csv # Output as SQL INSERT python3 scripts/mock_data.py user --count 10 --format sql --table users # Single values (no count) python3 scripts/mock_data.py uuid python3 scripts/mock_data.py name python3 scripts/mock_data.py lorem --words 50 # Save to file python3 scripts/mock_data.py user --count 100 --format csv --output test_users.csv ``` ## Commands & Data Types | Type | Description | Example Output | |------|-------------|----------------| | `user` | Full user record (name, email, phone, address) | `{"name": "Jane Smith", "email": "jane@example.com", ...}` | | `name` | Full name | `"Marcus Rivera"` | | `email` | Email address | `"tmarcus@fakecorp.io"` | | `phone` | US phone number | `"(415) 555-0193"` | | `address` | Street address | `"1234 Oak Ave, Austin TX 78701"` | | `company` | Company name | `"Nexigen Solutions LLC"` | | `uuid` | UUID v4 | `"f47ac10b-58cc-..."` | | `date` | Random date | `"2024-07-15"` | | `datetime` | Random datetime | `"2024-07-15T14:23:00"` | | `lorem` | Lorem ipsum text | `"Lorem ipsum dolor sit amet..."` | | `number` | Random integer | `42` | | `float` | Random float | `3.14159` | | `bool` | True/false | `true` | | `color` | Hex color | `"#3a7bd5"` | | `url` | Fake URL | `"https://fakecorp.io/api/v1"` | | `ip` | IPv4 address | `"192.168.1.104"` | | `record` | Custom fields combo | Use `--fields name,email,phone` | ## Formats | Format | Flag | Notes | |--------|------|-------| | JSON | `--format json` (default) | Pretty-printed array | | CSV | `--format csv` | With header row | | SQL | `--format sql --table <name>` | INSERT statements | | Lines | `--format lines` | One value per line | ## Options | Flag | Description | |------|-------------| | `--count N` | Number of records (default: 1) | | `--format <fmt>` | Output format: json, csv, sql, lines | | `--table <name>` | Table name for SQL output | | `--fields <list>` | Comma-separated fields for `record` type | | `--seed N` | Random seed for reproducible output | | `--output <file>` | Write to file instead of stdout | ## Use Cases - **API testing**: Seed databases with realistic-looking test records - **UI prototyping**: Fill mockups with plausible names and emails - **QA automation**: Generate test fixtures in CSV or JSON - **SQL seeding**: Ready-to-paste INSERT statements for dev databases - **Load testing**: Generate thousands of unique records instantly