RegexSolver Python API Client

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RegexSolver is a powerful toolkit for building, combining, and analyzing regular expressions. It is designed for constraint solvers, test generators, and other systems that need advanced regex operations.

Installation

pip install regexsolver

Requirements: Python >= 3.10

Quick Start

1. Create an API token in the Developer Console.
2. Initialize the client and start working with terms.

Synchronous Usage

The synchronous client provides a simple, blocking API.

from regexsolver import RegexSolverClient, Term

client = RegexSolverClient("REGEXSOLVER_API_TOKEN")

term1 = Term.regex(r"(abc|de|fg){2,}")
term2 = Term.regex(r"de.*")

intersection = client.intersection(term1, term2)
pattern = client.get_pattern(intersection)
print(pattern)  # de(abc|de|fg)+

Asynchronous Usage

For non-blocking applications, use the asynchronous client.

import asyncio
from regexsolver import AsyncRegexSolverClient, Term

async def main():
    async with AsyncRegexSolverClient("REGEXSOLVER_API_TOKEN") as client:
        term1 = Term.regex(r"(abc|de|fg){2,}")
        term2 = Term.regex(r"de.*")

        intersection = await client.intersection(term1, term2)
        pattern = await client.get_pattern(intersection)
        print(pattern)  # de(abc|de|fg)+


asyncio.run(main())

Key Concepts & Limitations

RegexSolver supports a subset of regular expressions that adhere to the principles of regular languages. Here are the key characteristics and limitations of the regular expressions supported by RegexSolver:

• Anchored Expressions: All regular expressions in RegexSolver are anchored. This means that the expressions are treated as if they start and end at the boundaries of the input text. For example, the expression abc will match the string "abc" but not "xabc" or "abcx".
• Lookahead/Lookbehind: RegexSolver does not support lookahead ((?=...)) or lookbehind ((?<=...)) assertions. Using them returns an error.
• Pure Regular Expressions: RegexSolver focuses on pure regular expressions as defined in regular language theory. This means features that extend beyond regular languages, such as backreferences (\1, \2, etc.), are not supported. Any use of backreference would return an error.
• Greedy/Ungreedy Quantifiers: The concept of ungreedy (*?, +?, ??) quantifiers is not supported. All quantifiers are treated as greedy. For example, a* or a*? will match the longest possible sequence of "a"s.
• Line Feed and Dot: RegexSolver handles all characters the same way. The dot . matches any Unicode character including line feed (\n).
• Empty Regular Expressions: The empty language (matches no string) is represented by constructs like [] (empty character class). This is distinct from the empty string.

Response Formats

The API can handle terms in two formats:

• regex: a regular expression pattern
• fair: FAIR (Fast Automaton Internal Representation), a stable, signed format used internally by the engine

By default, the engine returns whatever the operation produces, with no extra conversion. Override with response_format, accepted by the operations that return a term:

from regexsolver import ResponseFormat

term1 = Term.regex(r"abcde")
term2 = Term.regex(r"de")

result = client.union(term1, term2, response_format=ResponseFormat.REGEX)
print(result)  # regex=(abc)?de

result = client.union(term1, term2, response_format=ResponseFormat.FAIR)
print(result)  # fair=...

If the format does not matter, omit response_format or set it to ResponseFormat.ANY.

Regardless of the format, you can always call get_pattern() to obtain the regex pattern of a term.

Bounding execution time

Set a server-side compute timeout in milliseconds with execution_timeout:

from regexsolver.exceptions import TimeoutExceededError

# Limit the server-side compute time to 100 ms
try:
    term1 = Term.regex(r".*ab.*c(de|fg).*dab.*c(de|fg).*ab.*c(de|fg).*dab.*c")
    term2 = Term.regex(r".*abc.*")
    
    res = client.difference(term1, term2, execution_timeout=100)
except TimeoutExceededError as error:
    print(error) # The API returned the following error: The operation took too much time.

Timeout is best effort. The exact time is not guaranteed.

API Overview

RegexSolverClient and AsyncRegexSolverClient expose the following methods. Every method accepts optional keyword arguments: operations that return a term take response_format, deterministic and execution_timeout, while analyze operations and determinize() take execution_timeout only; the response format is not theirs to choose. generate_strings() additionally takes its ordering, seed, length and charset options as keyword arguments.

Analyze

Method	Return	Description
client.equivalent(term1, term2, **kwargs)	bool	True if term1 and term2 accept exactly the same language.
client.get_cardinality(term, **kwargs)	Cardinality	Returns the number of possible matched strings.
client.get_dot(term, **kwargs)	str	Returns a Graphviz DOT representation of the automaton.
client.get_length(term, **kwargs)	Length	Returns the minimum and maximum length of matched strings.
client.get_pattern(term, **kwargs)	str	Returns a regular expression pattern for the term.
client.is_empty(term, **kwargs)	bool	True if the term matches no string.
client.is_empty_string(term, **kwargs)	bool	True if the term matches only the empty string.
client.is_total(term, **kwargs)	bool	True if the term matches all possible strings.
client.is_deterministic(term, **kwargs)	bool	True if the term's automaton is deterministic. Only a deterministic FAIR guarantees consistent string ordering across paginated generate_strings() calls; call determinize() first if this is False.
client.subset(term_subset, term_superset, **kwargs)	bool	True if every string matched by term_subset is also matched by term_superset.

Note: For AsyncRegexSolverClient, these methods are coroutines and must be awaited.

Compute

Method	Return	Description
client.complement(term, **kwargs)	Term	Computes the complement of the given term.
client.concat(term1, term2, ..., **kwargs)	Term	Concatenates multiple terms in order.
client.determinize(term, **kwargs)	Term	Computes a deterministic FAIR for the given term, suitable for consistent pagination with generate_strings().
client.difference(base_term, excluded_term, **kwargs)	Term	Computes the difference base_term - excluded_term.
client.intersection(term1, term2, ..., **kwargs)	Term	Computes the intersection of the given terms.
client.repeat(term, min_val, max_val, **kwargs)	Term	Computes the repetition of the term between min_val and max_val times.
client.union(term1, term2, ..., **kwargs)	Term	Computes the union of the given terms.

Note: For AsyncRegexSolverClient, these methods are coroutines and must be awaited.

Generate

Method	Return	Description
client.generate_strings(term, limit, offset, **kwargs)	List[str]	Generates up to limit unique strings matched by term, skipping the first offset strings. Keyword arguments control path_order, character_order, seed, min_length, max_length and charset.

Note: For AsyncRegexSolverClient, this method is a coroutine and must be awaited.

Cross-Language Support

If you want to use this library with other programming languages, we provide:

• regexsolver-java
• regexsolver-js

For more information about how to use the wrappers, you can refer to our guide.

You can also take a look at regexsolver which contains the source code of the engine.

License

This project is licensed under the MIT License.