253 lines
6.0 KiB
Rust
253 lines
6.0 KiB
Rust
use pile_config::{ConfigToml, DatasetFts, Label, objectpath::ObjectPath};
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use pile_value::{
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extract::traits::ExtractState,
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value::{Item, PileValue},
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};
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use std::{path::PathBuf, sync::LazyLock};
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use tantivy::{
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DocAddress, Index, ReloadPolicy, TantivyDocument, TantivyError,
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collector::Collector,
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query::QueryParser,
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schema::{self, Schema, Value as TantivyValue},
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};
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use tracing::warn;
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#[derive(Debug, Clone)]
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pub struct FtsLookupResult {
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pub score: f32,
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pub source: Label,
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pub key: String,
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}
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pub struct DbFtsIndex {
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pub path: PathBuf,
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pub cfg: ConfigToml,
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pub schema: Schema,
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}
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impl DbFtsIndex {
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fn fts_cfg(&self) -> &DatasetFts {
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static DEFAULT: LazyLock<DatasetFts> = LazyLock::new(DatasetFts::default);
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self.cfg.fts.as_ref().unwrap_or(&DEFAULT)
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}
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}
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impl DbFtsIndex {
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pub fn new(path: impl Into<PathBuf>, cfg: &ConfigToml) -> Self {
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let path = path.into();
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let cfg = cfg.clone();
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let schema = {
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let mut schema_builder = Schema::builder();
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schema_builder.add_text_field("_meta_source", schema::STORED);
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schema_builder.add_text_field("_meta_key", schema::STORED);
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let default = DatasetFts::default();
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let fields = &cfg.fts.as_ref().unwrap_or(&default).fields;
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for (name, field) in fields {
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if field.tokenize {
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schema_builder.add_text_field(name, schema::TEXT);
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} else {
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schema_builder.add_text_field(name, schema::STRING);
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}
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}
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schema_builder.build()
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};
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Self { path, cfg, schema }
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}
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//
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// MARK: write
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//
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/// Turn an entry into a tantivy document
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pub async fn entry_to_document(
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&self,
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state: &ExtractState,
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item: &Item,
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) -> Result<Option<TantivyDocument>, TantivyError> {
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let mut doc = TantivyDocument::default();
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let key = item.key();
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doc.add_text(self.schema.get_field("_meta_source")?, item.source_name());
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doc.add_text(self.schema.get_field("_meta_key")?, key);
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let item = PileValue::Item(item.clone());
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let mut empty = true;
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for name in self.fts_cfg().fields.keys() {
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let vals = self.get_field(state, &item, name).await?;
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let field = self.schema.get_field(name)?;
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for v in vals {
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empty = false;
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doc.add_text(field, v);
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}
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}
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return Ok((!empty).then_some(doc));
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}
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//
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// MARK: read
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//
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pub async fn get_field(
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&self,
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state: &ExtractState,
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extractor: &PileValue,
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field_name: &Label,
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) -> Result<Vec<String>, std::io::Error> {
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let field = match self.cfg.schema.get(field_name) {
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Some(x) => x,
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None => {
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warn!("Unknown field {field_name:?}");
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return Ok(Vec::new());
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}
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};
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// Try paths in order, using the first value we find
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for path in field.path.as_slice() {
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let val = match extractor.query(state, path).await? {
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Some(PileValue::Null) | None => continue,
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Some(x) => x,
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};
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let val = val_to_string(state, &val, path, field_name).await?;
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if !val.is_empty() {
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return Ok(val);
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}
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}
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return Ok(Vec::new());
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}
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/// Run the given query on this table's ftx index.
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/// Returns `None` if this table does not have an fts index.
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///
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/// Note that concurrent writes to the table may invalidate `Entry::Id`.
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/// When you use [Table::get_meta] on this method's results, there is
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/// NO GUARANTEE that the entries returned by this method will exist.
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pub fn lookup<C>(
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&self,
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query: impl Into<String>,
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collector: impl AsRef<C> + Send + 'static,
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) -> Result<Vec<FtsLookupResult>, TantivyError>
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where
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C: Collector,
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C::Fruit: IntoIterator<Item = (f32, DocAddress)>,
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{
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if !self.path.exists() {
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return Ok(Vec::new());
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}
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if !self.path.is_dir() {
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warn!("fts index at {} is not a directory?!", self.path.display());
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return Ok(Vec::new());
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}
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let index = Index::open_in_dir(&self.path)?;
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let reader = index
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.reader_builder()
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.reload_policy(ReloadPolicy::OnCommitWithDelay)
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.try_into()?;
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let schema = index.schema();
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let mut fields = Vec::new();
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for f in self.schema.fields() {
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fields.push(f.0)
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}
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let query: String = query.into();
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let searcher = reader.searcher();
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let query_parser = QueryParser::for_index(&index, fields);
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let query = query_parser.parse_query(&query)?;
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let res = searcher.search(&query, collector.as_ref())?;
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let mut out = Vec::new();
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for (score, doc) in res {
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let retrieved_doc: TantivyDocument = searcher.doc(doc)?;
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#[expect(clippy::unwrap_used)]
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let source_name = {
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let f_source = schema.get_field("_meta_source").unwrap();
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let mut source = None;
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for v in retrieved_doc.get_all(f_source) {
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assert!(source.is_none()); // Must only exist once
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let v = v.as_str().unwrap().to_owned();
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let v = Label::new(v).unwrap();
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source = Some(v)
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}
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source.unwrap()
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};
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#[expect(clippy::unwrap_used)]
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let key = {
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let f_source = schema.get_field("_meta_key").unwrap();
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let mut source = None;
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for v in retrieved_doc.get_all(f_source) {
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assert!(source.is_none()); // Must only exist once
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let v = v.as_str().unwrap().to_owned();
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source = Some(v)
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}
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source.unwrap()
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};
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out.push(FtsLookupResult {
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score,
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source: source_name,
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key,
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});
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}
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return Ok(out);
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}
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}
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async fn val_to_string(
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state: &ExtractState,
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val: &PileValue,
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path: &ObjectPath,
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field_name: &str,
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) -> Result<Vec<String>, std::io::Error> {
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match val {
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PileValue::String(x) => return Ok(vec![x.to_string()]),
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PileValue::U64(x) => return Ok(vec![x.to_string()]),
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PileValue::I64(x) => return Ok(vec![x.to_string()]),
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PileValue::Array(x) => {
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let mut out = Vec::new();
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for x in x.iter() {
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out.extend(Box::pin(val_to_string(state, x, path, field_name)).await?);
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}
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return Ok(out);
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}
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#[expect(clippy::unwrap_used)]
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PileValue::ListExtractor(x) => {
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let mut out = Vec::new();
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let len = x.len(state).await?;
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for i in 0..len {
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let v = x.get(state, i).await?;
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out.extend(Box::pin(val_to_string(state, &v.unwrap(), path, field_name)).await?);
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}
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return Ok(out);
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}
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PileValue::Null => {}
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PileValue::ObjectExtractor(_) => {}
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PileValue::Item(_) => {}
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PileValue::Binary(_) => {}
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}
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return Ok(Vec::new());
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}
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