use serde_json::json;
use super::common::{
current_section_heading, heading_path_strings, parse_html_blocks, remove_comments,
split_sentences, update_heading_stack, ChunkRecordInput, ContentType, HtmlBlockType,
};
struct IndexedSentence {
text: String, para_index: usize,
section_heading: Option<String>, heading_path: Vec<String>,
}
pub fn build_sentence_chunks(bytes: &[u8], sentences_per_chunk: usize) -> Result<Vec<ChunkRecordInput>, String> {
if sentences_per_chunk == 0 { return Err("sentences_per_chunk must be > 0".to_string()); }
let text = std::str::from_utf8(bytes).map(|s| s.to_string()).unwrap_or_else(|_| String::from_utf8_lossy(bytes).to_string());
if text.trim().is_empty() { return Err("HTML file is empty".to_string()); }
let blocks = parse_html_blocks(&remove_comments(&text));
let total = blocks.len();
let mut result: Vec<ChunkRecordInput> = Vec::new();
let mut heading_stack: Vec<(u8, String)> = Vec::new();
let mut sentences: Vec<IndexedSentence> = Vec::new();
let mut para_index = 0usize; let mut chunk_index = 0usize;
let flush = |sentences: &mut Vec<IndexedSentence>, result: &mut Vec<ChunkRecordInput>, ci: &mut usize, spc: usize, total: usize| {
let mut i = 0usize;
while i < sentences.len() {
let end = (i + spc).min(sentences.len());
let window = &sentences[i..end];
let content = window.iter().map(|s| s.text.as_str()).collect::<Vec<_>>().join(" ");
if !content.is_empty() {
result.push(ChunkRecordInput {
content_type: ContentType::Sentence, content,
metadata: json!({
"sentences_per_chunk": spc, "actual_sentence_count": window.len(),
"chunk_index": *ci, "source_paragraph_index": window[0].para_index,
"section_heading": window[0].section_heading, "heading_path": window[0].heading_path,
"document_metadata": { "source_type": "html", "total_input_blocks": total }
}),
});
*ci += 1;
}
i = end;
}
sentences.clear();
};
for block in &blocks {
match block.block_type {
HtmlBlockType::Heading => {
flush(&mut sentences, &mut result, &mut chunk_index, sentences_per_chunk, total);
update_heading_stack(&mut heading_stack, block.heading_level, block.content.clone());
result.push(ChunkRecordInput {
content_type: ContentType::HeadingSection, content: block.content.clone(),
metadata: json!({
"section_heading": block.content, "section_level": block.heading_level,
"heading_path": heading_path_strings(&heading_stack), "chunk_index": chunk_index,
"document_metadata": { "source_type": "html", "total_input_blocks": total }
}),
});
chunk_index += 1;
}
HtmlBlockType::Code | HtmlBlockType::Table => {
flush(&mut sentences, &mut result, &mut chunk_index, sentences_per_chunk, total);
let ct = if block.block_type == HtmlBlockType::Code { ContentType::CodeBlock } else { ContentType::Table };
result.push(ChunkRecordInput {
content_type: ct, content: block.content.clone(),
metadata: json!({ "section_heading": current_section_heading(&heading_stack), "heading_path": heading_path_strings(&heading_stack), "chunk_index": chunk_index, "document_metadata": { "source_type": "html", "total_input_blocks": total } }),
});
chunk_index += 1; para_index += 1;
}
HtmlBlockType::List => {
let sh = current_section_heading(&heading_stack);
let hp = heading_path_strings(&heading_stack);
let pi = para_index;
for line in block.content.lines() {
let t = line.trim().to_string();
if !t.is_empty() { sentences.push(IndexedSentence { text: t, para_index: pi, section_heading: sh.clone(), heading_path: hp.clone() }); }
}
para_index += 1;
}
HtmlBlockType::Paragraph => {
let clean = block.content.trim().to_string();
if clean.is_empty() { continue; }
let sh = current_section_heading(&heading_stack);
let hp = heading_path_strings(&heading_stack);
let pi = para_index;
for s in split_sentences(&clean) {
sentences.push(IndexedSentence { text: s, para_index: pi, section_heading: sh.clone(), heading_path: hp.clone() });
}
para_index += 1;
}
}
}
flush(&mut sentences, &mut result, &mut chunk_index, sentences_per_chunk, total);
if result.is_empty() { return Err("No sentence chunks generated".to_string()); }
Ok(result)
}