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Index the geo points
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@ -0,0 +1,46 @@
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use std::fs::File;
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use std::io;
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use concat_arrays::concat_arrays;
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use log::warn;
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use serde_json::Value;
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use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
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use crate::{FieldId, InternalError, Result};
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/// Extracts the geographical coordinates contained in each document under the `_geo` field.
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///
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/// Returns the generated grenad reader containing the docid as key associated to the (latitude, longitude)
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pub fn extract_geo_points<R: io::Read>(
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mut obkv_documents: grenad::Reader<R>,
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indexer: GrenadParameters,
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geo_field_id: Option<FieldId>, // faire un grenad vide
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) -> Result<grenad::Reader<File>> {
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let mut writer = tempfile::tempfile().and_then(|file| {
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create_writer(indexer.chunk_compression_type, indexer.chunk_compression_level, file)
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})?;
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// we never encountered any documents with a `_geo` field. We can skip entirely this step
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if geo_field_id.is_none() {
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return Ok(writer_into_reader(writer)?);
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}
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let geo_field_id = geo_field_id.unwrap();
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while let Some((docid_bytes, value)) = obkv_documents.next()? {
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let obkv = obkv::KvReader::new(value);
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let point = obkv.get(geo_field_id).unwrap(); // TODO: TAMO where should we handle this error?
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let point: Value = serde_json::from_slice(point).map_err(InternalError::SerdeJson)?;
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if let Some((lat, long)) = point["lat"].as_f64().zip(point["long"].as_f64()) {
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// this will create an array of 16 bytes (two 8 bytes floats)
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let bytes: [u8; 16] = concat_arrays![lat.to_le_bytes(), long.to_le_bytes()];
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writer.insert(docid_bytes, bytes)?;
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} else {
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// TAMO: improve the warn
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warn!("Malformed `_geo` field");
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continue;
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}
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}
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Ok(writer_into_reader(writer)?)
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}
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