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Robert Solovev edited this page Dec 14, 2024
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Clarify Goals:
- Parse HTML into a structured representation (like a tree or graph).
- Capture HTML tags, their attributes, and their content (text or child elements).
- Allow navigation and extraction of elements, attributes, or content.
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Determine Extensibility Needs:
- Should it support HTML5-specific quirks and malformed HTML?
- Should it handle nested structures like
<div><p>Text</p></div>
? - Should it be tolerant of invalid or missing tags?
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Output Requirements:
- Decide the data structure (e.g., a tree with nodes representing elements).
- Define an API for navigation and queries.
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Parsing Mode:
- Top-Down Recursive Descent Parsing: Useful for simplicity and clarity.
- Lexer + Parser Combo: Use a tokenizer to break the input into tokens, then parse the tokens into a tree.
- Stream-Based Parsing: If you need to process large HTML documents efficiently.
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Tokenizer Logic:
- Split the HTML into meaningful tokens (e.g., tags, attributes, content).
- Handle special cases such as:
- Self-closing tags (
<img />
). - Comment tags (
<!-- Comment -->
). - Void elements (
<br>
,<meta>
, etc.).
- Self-closing tags (
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Error Handling:
- Decide how to handle malformed HTML (e.g., unclosed tags, incorrect nesting).
- You can choose to tolerate these errors or strictly validate the input.
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Tree Representation:
- Each node represents an HTML element.
- Each node stores:
- Tag name (e.g.,
div
,p
). - Attributes (as key-value pairs, e.g.,
class="foo"
). - Child nodes (for nested elements).
- Inner text (for leaf nodes or mixed content).
- Tag name (e.g.,
Example (Go Pseudo-Struct):
type Node struct { Tag string Attributes map[string]string Children []*Node Text string }
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Navigation Features:
- Provide methods to traverse:
- Depth-first (DOM-style tree traversal).
- Breadth-first or custom filtering (e.g., find by tag, attribute, or value).
- Provide methods to traverse:
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Lexical Analysis:
- Tokenize the HTML document into:
- Start tags (
<div>
), end tags (</div>
), attributes (key="value"
), and text.
- Start tags (
- Tokenize the HTML document into:
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Syntactic Parsing:
- Construct the tree structure by:
- Starting new nodes when encountering a start tag.
- Closing nodes when encountering end tags.
- Adding text content to the current node.
- Construct the tree structure by:
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Error Recovery:
- Handle situations like missing end tags or stray characters gracefully.
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Navigation:
- Traverse the tree with methods like
GetElementByTag("tag")
,GetElementByID("id")
, etc. - Support advanced queries (e.g., CSS selector-like matching).
- Traverse the tree with methods like
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Manipulation:
- Allow updating attributes or text content in the tree.
- Provide a way to serialize the tree back into valid HTML.
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Extraction:
- Enable easy extraction of:
- Specific tags (e.g., all
<a>
tags withhref
attributes). - Attribute values (e.g.,
src
of<img>
tags). - Enclosed text.
- Specific tags (e.g., all
- Enable easy extraction of:
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Performance Optimization:
- Optimize the tokenizer for speed (e.g., regex vs. manual parsing).
- Efficient tree traversal (cache lookups or indexes for frequently queried nodes).
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Extensibility:
- Allow adding custom handlers for specific tags or attributes.
- Make it modular to handle future needs (e.g., extending for XML or XHTML).
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Test Cases:
- Validate with simple HTML, deeply nested HTML, malformed HTML, and large documents.
- Include edge cases like self-closing tags, void elements, and attributes without values.
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Real-World Scenarios:
- Parse and navigate HTML from popular websites or real-world examples to ensure robustness.
- Start simple (e.g., parse basic valid HTML).
- Add features incrementally (e.g., handle quirks, complex selectors).
- Optimize performance and memory usage once core functionality is solid.