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https://github.com/meilisearch/meilisearch.git
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Move crates under a sub folder to clean up the code
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256
crates/benchmarks/benches/utils.rs
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256
crates/benchmarks/benches/utils.rs
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#![allow(dead_code)]
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use std::fs::{create_dir_all, remove_dir_all, File};
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use std::io::{self, BufRead, BufReader, Cursor, Read, Seek};
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use std::num::ParseFloatError;
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use std::path::Path;
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use std::str::FromStr;
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use criterion::BenchmarkId;
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use milli::documents::{DocumentsBatchBuilder, DocumentsBatchReader};
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use milli::heed::EnvOpenOptions;
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use milli::update::{
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IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings,
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};
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use milli::{Criterion, Filter, Index, Object, TermsMatchingStrategy};
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use serde_json::Value;
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pub struct Conf<'a> {
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/// where we are going to create our database.mmdb directory
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/// each benchmark will first try to delete it and then recreate it
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pub database_name: &'a str,
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/// the dataset to be used, it must be an uncompressed csv
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pub dataset: &'a str,
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/// The format of the dataset
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pub dataset_format: &'a str,
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pub group_name: &'a str,
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pub queries: &'a [&'a str],
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/// here you can change which criterion are used and in which order.
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/// - if you specify something all the base configuration will be thrown out
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/// - if you don't specify anything (None) the default configuration will be kept
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pub criterion: Option<&'a [&'a str]>,
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/// the last chance to configure your database as you want
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pub configure: fn(&mut Settings),
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pub filter: Option<&'a str>,
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pub sort: Option<Vec<&'a str>>,
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/// enable or disable the optional words on the query
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pub optional_words: bool,
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/// primary key, if there is None we'll auto-generate docids for every documents
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pub primary_key: Option<&'a str>,
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}
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impl Conf<'_> {
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pub const BASE: Self = Conf {
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database_name: "benches.mmdb",
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dataset_format: "csv",
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dataset: "",
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group_name: "",
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queries: &[],
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criterion: None,
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configure: |_| (),
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filter: None,
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sort: None,
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optional_words: true,
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primary_key: None,
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};
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}
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pub fn base_setup(conf: &Conf) -> Index {
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match remove_dir_all(conf.database_name) {
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Ok(_) => (),
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Err(e) if e.kind() == std::io::ErrorKind::NotFound => (),
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Err(e) => panic!("{}", e),
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}
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create_dir_all(conf.database_name).unwrap();
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let mut options = EnvOpenOptions::new();
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options.map_size(100 * 1024 * 1024 * 1024); // 100 GB
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options.max_readers(10);
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let index = Index::new(options, conf.database_name).unwrap();
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let config = IndexerConfig::default();
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let mut wtxn = index.write_txn().unwrap();
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let mut builder = Settings::new(&mut wtxn, &index, &config);
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if let Some(primary_key) = conf.primary_key {
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builder.set_primary_key(primary_key.to_string());
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}
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if let Some(criterion) = conf.criterion {
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builder.reset_filterable_fields();
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builder.reset_criteria();
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builder.reset_stop_words();
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let criterion = criterion.iter().map(|s| Criterion::from_str(s).unwrap()).collect();
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builder.set_criteria(criterion);
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}
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(conf.configure)(&mut builder);
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builder.execute(|_| (), || false).unwrap();
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wtxn.commit().unwrap();
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let config = IndexerConfig::default();
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let mut wtxn = index.write_txn().unwrap();
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let indexing_config = IndexDocumentsConfig {
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autogenerate_docids: conf.primary_key.is_none(),
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update_method: IndexDocumentsMethod::ReplaceDocuments,
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..Default::default()
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};
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let builder =
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IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| (), || false).unwrap();
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let documents = documents_from(conf.dataset, conf.dataset_format);
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let (builder, user_error) = builder.add_documents(documents).unwrap();
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user_error.unwrap();
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builder.execute().unwrap();
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wtxn.commit().unwrap();
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index
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}
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pub fn run_benches(c: &mut criterion::Criterion, confs: &[Conf]) {
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for conf in confs {
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let index = base_setup(conf);
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let file_name = Path::new(conf.dataset).file_name().and_then(|f| f.to_str()).unwrap();
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let name = format!("{}: {}", file_name, conf.group_name);
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let mut group = c.benchmark_group(&name);
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for &query in conf.queries {
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group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
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b.iter(|| {
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let rtxn = index.read_txn().unwrap();
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let mut search = index.search(&rtxn);
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search.query(query).terms_matching_strategy(TermsMatchingStrategy::default());
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if let Some(filter) = conf.filter {
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let filter = Filter::from_str(filter).unwrap().unwrap();
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search.filter(filter);
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}
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if let Some(sort) = &conf.sort {
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let sort = sort.iter().map(|sort| sort.parse().unwrap()).collect();
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search.sort_criteria(sort);
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}
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let _ids = search.execute().unwrap();
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});
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});
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}
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group.finish();
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index.prepare_for_closing().wait();
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}
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}
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pub fn documents_from(filename: &str, filetype: &str) -> DocumentsBatchReader<impl BufRead + Seek> {
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let reader = File::open(filename)
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.unwrap_or_else(|_| panic!("could not find the dataset in: {}", filename));
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let reader = BufReader::new(reader);
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let documents = match filetype {
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"csv" => documents_from_csv(reader).unwrap(),
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"json" => documents_from_json(reader).unwrap(),
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"jsonl" => documents_from_jsonl(reader).unwrap(),
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otherwise => panic!("invalid update format {:?}", otherwise),
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};
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DocumentsBatchReader::from_reader(Cursor::new(documents)).unwrap()
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}
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fn documents_from_jsonl(reader: impl BufRead) -> anyhow::Result<Vec<u8>> {
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let mut documents = DocumentsBatchBuilder::new(Vec::new());
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for result in serde_json::Deserializer::from_reader(reader).into_iter::<Object>() {
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let object = result?;
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documents.append_json_object(&object)?;
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}
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documents.into_inner().map_err(Into::into)
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}
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fn documents_from_json(reader: impl BufRead) -> anyhow::Result<Vec<u8>> {
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let mut documents = DocumentsBatchBuilder::new(Vec::new());
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documents.append_json_array(reader)?;
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documents.into_inner().map_err(Into::into)
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}
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fn documents_from_csv(reader: impl BufRead) -> anyhow::Result<Vec<u8>> {
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let csv = csv::Reader::from_reader(reader);
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let mut documents = DocumentsBatchBuilder::new(Vec::new());
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documents.append_csv(csv)?;
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documents.into_inner().map_err(Into::into)
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}
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enum AllowedType {
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String,
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Number,
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}
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fn parse_csv_header(header: &str) -> (String, AllowedType) {
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// if there are several separators we only split on the last one.
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match header.rsplit_once(':') {
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Some((field_name, field_type)) => match field_type {
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"string" => (field_name.to_string(), AllowedType::String),
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"number" => (field_name.to_string(), AllowedType::Number),
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// we may return an error in this case.
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_otherwise => (header.to_string(), AllowedType::String),
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},
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None => (header.to_string(), AllowedType::String),
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}
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}
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struct CSVDocumentDeserializer<R>
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where
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R: Read,
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{
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documents: csv::StringRecordsIntoIter<R>,
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headers: Vec<(String, AllowedType)>,
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}
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impl<R: Read> CSVDocumentDeserializer<R> {
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fn from_reader(reader: R) -> io::Result<Self> {
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let mut records = csv::Reader::from_reader(reader);
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let headers = records.headers()?.into_iter().map(parse_csv_header).collect();
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Ok(Self { documents: records.into_records(), headers })
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}
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}
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impl<R: Read> Iterator for CSVDocumentDeserializer<R> {
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type Item = anyhow::Result<Object>;
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fn next(&mut self) -> Option<Self::Item> {
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let csv_document = self.documents.next()?;
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match csv_document {
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Ok(csv_document) => {
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let mut document = Object::new();
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for ((field_name, field_type), value) in
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self.headers.iter().zip(csv_document.into_iter())
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{
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let parsed_value: Result<Value, ParseFloatError> = match field_type {
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AllowedType::Number => {
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value.parse::<f64>().map(Value::from).map_err(Into::into)
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}
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AllowedType::String => Ok(Value::String(value.to_string())),
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};
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match parsed_value {
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Ok(value) => drop(document.insert(field_name.to_string(), value)),
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Err(_e) => {
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return Some(Err(anyhow::anyhow!(
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"Value '{}' is not a valid number",
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value
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)))
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}
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}
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}
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Some(Ok(document))
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}
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Err(e) => Some(Err(anyhow::anyhow!("Error parsing csv document: {}", e))),
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}
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}
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}
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