Mock Code Generator
Generates mock codes for testing and QA, with customizable length, character set, and reproducibility for developers and testers needing deterministic or random test data.
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About This Tool
Core Logic & Features: The tool can generate codes by sampling from a defined alphabet to a specified length, with optional prefix or suffix. Required features include input validation, duplicate avoidance, and deterministic mode via seed. Optional features include multiple output formats and per-code metadata.
Inputs & Outputs: Inputs include quantity (integer), length (integer, number of characters), charset (choices: alpha, numeric, alphanumeric, hex), seed (string, optional), prefix (string, optional), and output_format (json, csv, or newline-delimited). Outputs include codes (array of strings) and a run_summary with counts and settings.
Algorithms & Calculations: Uses a cryptographically secure RNG when seed is not provided, or a deterministic PRNG when a seed is provided. Ensures uniqueness by checking newly generated codes against the current set; the maximum possible unique codes equals alphabet_size^length. If quantity exceeds this limit, the tool reports an error.
Error & Edge Cases: Handles invalid inputs (length < 1, quantity <= 0, unsupported charset), and detects insufficient space for the requested unique codes. If external randomness is unavailable, falls back to internal pseudo-random generation. Industry/Region & Localization: Locale-neutral; uses standard ASCII alphabets by default; supports customization for different development regions and environments. Localization can apply to date/time formatting in outputs if used in metadata. Assumptions & Exclusions: Assumes all generated codes are for internal testing only; it does not connect to external services, generate real credentials, or assist in unauthorized access.
How to Use
- Provide inputs: quantity, length, charset, optional seed and prefix.
- Choose deterministic mode if a seed is given; otherwise rely on cryptographic RNG.
- Run calculation to generate codes.
- Review outputs and copy or export in JSON, CSV, or newline-delimited format.
- Use seed for reproducible test data in CI pipelines.
- Re-run with the same seed to reproduce the exact set.
Frequently Asked Questions
Find Quick Answers
What is the maximum number of unique codes for a given length and charset?
Can I reproduce codes exactly?
What output formats are supported?
Are the generated codes real credentials?
Need to run multiple calculations?
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