[][src]Crate xmlparser

xmlparser is a low-level, pull-based, zero-allocation XML 1.0 parser.

Example

for token in xmlparser::Tokenizer::from("<tagname name='value'/>") {
    println!("{:?}", token);
}

Why a new library?

This library is basically a low-level XML tokenizer that preserves the positions of the tokens and is not intended to be used directly. If you are looking for a higher level solution, check out roxmltree.

Benefits

  • All tokens contain StrSpan structs which represent the position of the substring in the original document.
  • Good error processing. All error types contain the position (line:column) where it occurred.
  • No heap allocations.
  • No dependencies.
  • Tiny. ~1400 LOC and ~30KiB in the release build according to cargo-bloat.
  • Supports no_std builds. To use without the standard library, disable the default features.

Limitations

  • Currently, only ENTITY objects are parsed from the DOCTYPE. All others are ignored.
  • No tree structure validation. So an XML like <root><child></root></child> or a string without root element will be parsed without errors. You should check for this manually. On the other hand <a/><a/> will lead to an error.
  • Duplicated attributes is not an error. So XML like <item a="v1" a="v2"/> will be parsed without errors. You should check for this manually.
  • UTF-8 only.

Safety

  • The library must not panic. Any panic is considered a critical bug and should be reported.
  • The library forbids unsafe code.

Structs

StrSpan

A string slice.

Stream

A streaming XML parsing interface.

TextPos

Position in text.

Tokenizer

Tokenizer for the XML structure.

Enums

ElementEnd

ElementEnd token.

EntityDefinition

Representation of the EntityDef value.

Error

An XML parser errors.

ExternalId

Representation of the ExternalID value.

Reference

Representation of the Reference value.

StreamError

A stream parser errors.

Token

An XML token.

Traits

XmlByteExt

Extension methods for XML-subset only operations.

XmlCharExt

Extension methods for XML-subset only operations.