tantivy-py/src/index.rs

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#![allow(clippy::new_ret_no_self)]
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::PyAny;
use crate::document::{extract_value, Document};
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use crate::query::Query;
use crate::schema::Schema;
use crate::searcher::Searcher;
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use crate::{get_field, to_pyerr};
use tantivy as tv;
use tantivy::directory::MmapDirectory;
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use tantivy::schema::{NamedFieldDocument, Term, Value};
const RELOAD_POLICY: &str = "commit";
/// IndexWriter is the user entry-point to add documents to the index.
///
/// To create an IndexWriter first create an Index and call the writer() method
/// on the index object.
#[pyclass]
pub(crate) struct IndexWriter {
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inner_index_writer: tv::IndexWriter,
schema: tv::schema::Schema,
}
#[pymethods]
impl IndexWriter {
/// Add a document to the index.
///
/// If the indexing pipeline is full, this call may block.
///
/// Returns an `opstamp`, which is an increasing integer that can be used
/// by the client to align commits with its own document queue.
/// The `opstamp` represents the number of documents that have been added
/// since the creation of the index.
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pub fn add_document(&mut self, doc: &Document) -> PyResult<u64> {
let named_doc = NamedFieldDocument(doc.field_values.clone());
let doc = self.schema.convert_named_doc(named_doc).map_err(to_pyerr)?;
Ok(self.inner_index_writer.add_document(doc))
}
/// Helper for the `add_document` method, but passing a json string.
///
/// If the indexing pipeline is full, this call may block.
///
/// Returns an `opstamp`, which is an increasing integer that can be used
/// by the client to align commits with its own document queue.
/// The `opstamp` represents the number of documents that have been added
/// since the creation of the index.
pub fn add_json(&mut self, json: &str) -> PyResult<u64> {
let doc = self.schema.parse_document(json).map_err(to_pyerr)?;
let opstamp = self.inner_index_writer.add_document(doc);
Ok(opstamp)
}
/// Commits all of the pending changes
///
/// A call to commit blocks. After it returns, all of the document that
/// were added since the last commit are published and persisted.
///
/// In case of a crash or an hardware failure (as long as the hard disk is
/// spared), it will be possible to resume indexing from this point.
///
/// Returns the `opstamp` of the last document that made it in the commit.
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fn commit(&mut self) -> PyResult<u64> {
self.inner_index_writer.commit().map_err(to_pyerr)
}
/// Rollback to the last commit
///
/// This cancels all of the update that happened before after the last
/// commit. After calling rollback, the index is in the same state as it
/// was after the last commit.
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fn rollback(&mut self) -> PyResult<u64> {
self.inner_index_writer.rollback().map_err(to_pyerr)
}
/// Detect and removes the files that are not used by the index anymore.
fn garbage_collect_files(&mut self) -> PyResult<()> {
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use futures::executor::block_on;
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block_on(self.inner_index_writer.garbage_collect_files())
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.map_err(to_pyerr)?;
Ok(())
}
/// The opstamp of the last successful commit.
///
/// This is the opstamp the index will rollback to if there is a failure
/// like a power surge.
///
/// This is also the opstamp of the commit that is currently available
/// for searchers.
#[getter]
fn commit_opstamp(&self) -> u64 {
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self.inner_index_writer.commit_opstamp()
}
/// Delete all documents containing a given term.
///
/// Args:
/// field_name (str): The field name for which we want to filter deleted docs.
/// field_value (PyAny): Python object with the value we want to filter.
///
/// If the field_name is not on the schema raises ValueError exception.
/// If the field_value is not supported raises Exception.
fn delete_documents(
&mut self,
field_name: &str,
field_value: &PyAny,
) -> PyResult<u64> {
let field = get_field(&self.schema, field_name)?;
let value = extract_value(field_value)?;
let term = match value {
Value::Str(text) => Term::from_field_text(field, &text),
Value::U64(num) => Term::from_field_u64(field, num),
Value::I64(num) => Term::from_field_i64(field, num),
Value::F64(num) => Term::from_field_f64(field, num),
Value::Date(d) => Term::from_field_date(field, &d),
Value::Facet(facet) => Term::from_facet(field, &facet),
Value::Bytes(_) => {
return Err(exceptions::ValueError::py_err(format!(
"Field `{}` is bytes type not deletable.",
field_name
)))
}
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Value::PreTokStr(_pretok) => {
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return Err(exceptions::ValueError::py_err(format!(
"Field `{}` is pretokenized. This is not authorized for delete.",
field_name
)))
}
};
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Ok(self.inner_index_writer.delete_term(term))
}
}
/// Create a new index object.
///
/// Args:
/// schema (Schema): The schema of the index.
/// path (str, optional): The path where the index should be stored. If
/// no path is provided, the index will be stored in memory.
/// reuse (bool, optional): Should we open an existing index if one exists
/// or always create a new one.
///
/// If an index already exists it will be opened and reused. Raises OSError
/// if there was a problem during the opening or creation of the index.
#[pyclass]
pub(crate) struct Index {
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pub(crate) index: tv::Index,
reader: tv::IndexReader,
}
#[pymethods]
impl Index {
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#[staticmethod]
fn open(path: &str) -> PyResult<Index> {
let index = tv::Index::open_in_dir(path).map_err(to_pyerr)?;
let reader = index.reader().map_err(to_pyerr)?;
Ok(Index { index, reader })
}
#[new]
#[args(reuse = true)]
fn new(
schema: &Schema,
path: Option<&str>,
reuse: bool,
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) -> PyResult<Self> {
let index = match path {
Some(p) => {
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let directory = MmapDirectory::open(p).map_err(to_pyerr)?;
if reuse {
tv::Index::open_or_create(directory, schema.inner.clone())
} else {
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tv::Index::create(directory, schema.inner.clone())
}
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.map_err(to_pyerr)?
}
None => tv::Index::create_in_ram(schema.inner.clone()),
};
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let reader = index.reader().map_err(to_pyerr)?;
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Ok(Index { index, reader })
}
/// Create a `IndexWriter` for the index.
///
/// The writer will be multithreaded and the provided heap size will be
/// split between the given number of threads.
///
/// Args:
/// overall_heap_size (int, optional): The total target memory usage of
/// the writer, can't be less than 3000000.
/// num_threads (int, optional): The number of threads that the writer
/// should use. If this value is 0, tantivy will choose
/// automatically the number of threads.
///
/// Raises ValueError if there was an error while creating the writer.
#[args(heap_size = 3000000, num_threads = 0)]
fn writer(
&self,
heap_size: usize,
num_threads: usize,
) -> PyResult<IndexWriter> {
let writer = match num_threads {
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0 => self.index.writer(heap_size),
_ => self.index.writer_with_num_threads(num_threads, heap_size),
}
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.map_err(to_pyerr)?;
let schema = self.index.schema();
Ok(IndexWriter {
inner_index_writer: writer,
schema,
})
}
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/// Configure the index reader.
///
/// Args:
/// reload_policy (str, optional): The reload policy that the
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/// IndexReader should use. Can be `Manual` or `OnCommit`.
/// num_searchers (int, optional): The number of searchers that the
/// reader should create.
#[args(reload_policy = "RELOAD_POLICY", num_searchers = 0)]
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fn config_reader(
&mut self,
reload_policy: &str,
num_searchers: usize,
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) -> Result<(), PyErr> {
let reload_policy = reload_policy.to_lowercase();
let reload_policy = match reload_policy.as_ref() {
"commit" => tv::ReloadPolicy::OnCommit,
"on-commit" => tv::ReloadPolicy::OnCommit,
"oncommit" => tv::ReloadPolicy::OnCommit,
"manual" => tv::ReloadPolicy::Manual,
_ => return Err(exceptions::ValueError::py_err(
"Invalid reload policy, valid choices are: 'manual' and 'OnCommit'"
))
};
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let builder = self.index.reader_builder();
let builder = builder.reload_policy(reload_policy);
let builder = if num_searchers > 0 {
builder.num_searchers(num_searchers)
} else {
builder
};
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self.reader = builder.try_into().map_err(to_pyerr)?;
Ok(())
}
/// Acquires a Searcher from the searcher pool.
///
/// If no searcher is available during the call, note that
/// this call will block until one is made available.
///
/// Searcher are automatically released back into the pool when
/// they are dropped. If you observe this function to block forever
/// you probably should configure the Index to have a larger
/// searcher pool, or you are holding references to previous searcher
/// for ever.
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fn searcher(&self) -> Searcher {
Searcher {
inner: self.reader.searcher(),
}
}
/// Check if the given path contains an existing index.
/// Args:
/// path: The path where tantivy will search for an index.
///
/// Returns True if an index exists at the given path, False otherwise.
///
/// Raises OSError if the directory cannot be opened.
#[staticmethod]
fn exists(path: &str) -> PyResult<bool> {
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let directory = MmapDirectory::open(path).map_err(to_pyerr)?;
Ok(tv::Index::exists(&directory))
}
/// The schema of the current index.
#[getter]
fn schema(&self) -> Schema {
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let schema = self.index.schema();
Schema { inner: schema }
}
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/// Update searchers so that they reflect the state of the last .commit().
///
/// If you set up the the reload policy to be on 'commit' (which is the
/// default) every commit should be rapidly reflected on your IndexReader
/// and you should not need to call reload() at all.
fn reload(&self) -> PyResult<()> {
self.reader.reload().map_err(to_pyerr)
}
/// Parse a query
///
/// Args:
/// query: the query, following the tantivy query language.
/// default_fields (List[Field]): A list of fields used to search if no
/// field is specified in the query.
///
#[args(reload_policy = "RELOAD_POLICY")]
pub fn parse_query(
&self,
query: &str,
default_field_names: Option<Vec<String>>,
) -> PyResult<Query> {
let mut default_fields = vec![];
let schema = self.index.schema();
if let Some(default_field_names_vec) = default_field_names {
for default_field_name in &default_field_names_vec {
if let Some(field) = schema.get_field(default_field_name) {
let field_entry = schema.get_field_entry(field);
if !field_entry.is_indexed() {
return Err(exceptions::ValueError::py_err(format!(
"Field `{}` is not set as indexed in the schema.",
default_field_name
)));
}
default_fields.push(field);
} else {
return Err(exceptions::ValueError::py_err(format!(
"Field `{}` is not defined in the schema.",
default_field_name
)));
}
}
} else {
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for (field, field_entry) in self.index.schema().fields() {
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if field_entry.is_indexed() {
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default_fields.push(field);
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}
}
}
let parser =
tv::query::QueryParser::for_index(&self.index, default_fields);
let query = parser.parse_query(query).map_err(to_pyerr)?;
Ok(Query { inner: query })
}
}