tantivy-py/src/document.rs

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#![allow(clippy::new_ret_no_self)]
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#![allow(clippy::wrong_self_convention)]
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use itertools::Itertools;
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use pyo3::{
prelude::*,
types::{
PyAny, PyDateAccess, PyDateTime, PyDict, PyList, PyTimeAccess, PyTuple,
},
};
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use chrono::{offset::TimeZone, Datelike, Timelike, Utc};
use tantivy as tv;
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use crate::{facet::Facet, to_pyerr};
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use serde_json::Value as JsonValue;
use std::{
collections::{BTreeMap, HashMap},
fmt,
};
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use tantivy::schema::Value;
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fn value_to_object(val: &JsonValue, py: Python<'_>) -> PyObject {
match val {
JsonValue::Null => py.None(),
JsonValue::Bool(b) => b.to_object(py),
JsonValue::Number(n) => match n {
n if n.is_i64() => n.as_i64().to_object(py),
n if n.is_u64() => n.as_u64().to_object(py),
n if n.is_f64() => n.as_f64().to_object(py),
_ => panic!("number too large"),
},
JsonValue::String(s) => s.to_object(py),
JsonValue::Array(v) => {
let inner: Vec<_> =
v.iter().map(|x| value_to_object(x, py)).collect();
inner.to_object(py)
}
JsonValue::Object(m) => {
let inner: HashMap<_, _> =
m.iter().map(|(k, v)| (k, value_to_object(v, py))).collect();
inner.to_object(py)
}
}
}
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fn value_to_py(py: Python, value: &Value) -> PyResult<PyObject> {
Ok(match value {
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Value::Str(text) => text.into_py(py),
Value::U64(num) => (*num).into_py(py),
Value::I64(num) => (*num).into_py(py),
Value::F64(num) => (*num).into_py(py),
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Value::Bytes(b) => b.to_object(py),
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Value::PreTokStr(_pretoken) => {
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// TODO implement me
unimplemented!();
}
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Value::Date(d) => PyDateTime::new(
py,
d.year(),
d.month() as u8,
d.day() as u8,
d.hour() as u8,
d.minute() as u8,
d.second() as u8,
d.timestamp_subsec_micros(),
None,
)?
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.into_py(py),
Value::Facet(f) => Facet { inner: f.clone() }.into_py(py),
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Value::JsonObject(json_object) => {
let inner: HashMap<_, _> = json_object
.iter()
.map(|(k, v)| (k, value_to_object(&v, py)))
.collect();
inner.to_object(py)
}
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})
}
fn value_to_string(value: &Value) -> String {
match value {
Value::Str(text) => text.clone(),
Value::U64(num) => format!("{}", num),
Value::I64(num) => format!("{}", num),
Value::F64(num) => format!("{}", num),
Value::Bytes(bytes) => format!("{:?}", bytes),
Value::Date(d) => format!("{:?}", d),
Value::Facet(facet) => facet.to_string(),
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Value::PreTokStr(_pretok) => {
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// TODO implement me
unimplemented!();
}
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Value::JsonObject(json_object) => {
serde_json::to_string(&json_object).unwrap()
}
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}
}
/// Tantivy's Document is the object that can be indexed and then searched for.
///
/// Documents are fundamentally a collection of unordered tuples
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/// (field_name, value). In this list, one field may appear more than once.
///
/// Example:
/// >>> doc = tantivy.Document()
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/// >>> doc.add_text("title", "The Old Man and the Sea")
/// >>> doc.add_text("body", ("He was an old man who fished alone in a "
/// "skiff in the Gulf Stream and he had gone "
/// "eighty-four days now without taking a fish."))
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///
/// For simplicity, it is also possible to build a `Document` by passing the field
/// values directly as constructor arguments.
///
/// Example:
/// >>> doc = tantivy.Document(title=["The Old Man and the Sea"], body=["..."])
///
/// As syntactic sugar, tantivy also allows the user to pass a single values
/// if there is only one. In other words, the following is also legal.
///
/// Example:
/// >>> doc = tantivy.Document(title="The Old Man and the Sea", body="...")
#[pyclass]
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#[derive(Default)]
pub(crate) struct Document {
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pub(crate) field_values: BTreeMap<String, Vec<tv::schema::Value>>,
}
impl fmt::Debug for Document {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
let doc_str = self
.field_values
.iter()
.map(|(field_name, field_values)| {
let values_str: String = field_values
.iter()
.map(value_to_string)
.join(",")
.chars()
.take(10)
.collect();
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format!("{}=[{}]", field_name, values_str)
})
.join(",");
write!(f, "Document({})", doc_str)
}
}
fn add_value<T>(doc: &mut Document, field_name: String, value: T)
where
Value: From<T>,
{
doc.field_values
.entry(field_name)
.or_insert_with(Vec::new)
.push(Value::from(value));
}
pub(crate) fn extract_value(any: &PyAny) -> PyResult<Value> {
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if let Ok(s) = any.extract::<String>() {
return Ok(Value::Str(s));
}
if let Ok(num) = any.extract::<i64>() {
return Ok(Value::I64(num));
}
if let Ok(num) = any.extract::<f64>() {
return Ok(Value::F64(num));
}
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if let Ok(py_datetime) = any.downcast::<PyDateTime>() {
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let datetime = Utc
.ymd(
py_datetime.get_year(),
py_datetime.get_month().into(),
py_datetime.get_day().into(),
)
.and_hms_micro(
py_datetime.get_hour().into(),
py_datetime.get_minute().into(),
py_datetime.get_second().into(),
py_datetime.get_microsecond(),
);
return Ok(Value::Date(datetime));
}
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if let Ok(facet) = any.extract::<Facet>() {
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return Ok(Value::Facet(facet.inner.clone()));
}
Err(to_pyerr(format!("Value unsupported {:?}", any)))
}
fn extract_value_single_or_list(any: &PyAny) -> PyResult<Vec<Value>> {
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if let Ok(values) = any.downcast::<PyList>() {
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values.iter().map(extract_value).collect()
} else {
Ok(vec![extract_value(any)?])
}
}
#[pymethods]
impl Document {
#[new]
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#[args(kwargs = "**")]
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fn new(kwargs: Option<&PyDict>) -> PyResult<Self> {
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let mut document = Document::default();
if let Some(field_dict) = kwargs {
document.extend(field_dict)?;
}
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Ok(document)
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}
fn extend(&mut self, py_dict: &PyDict) -> PyResult<()> {
let mut field_values: BTreeMap<String, Vec<tv::schema::Value>> =
BTreeMap::new();
for key_value_any in py_dict.items() {
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if let Ok(key_value) = key_value_any.downcast::<PyTuple>() {
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if key_value.len() != 2 {
continue;
}
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let key: String = key_value.get_item(0)?.extract()?;
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let value_list =
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extract_value_single_or_list(key_value.get_item(1)?)?;
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field_values.insert(key, value_list);
}
}
self.field_values.extend(field_values.into_iter());
Ok(())
}
#[staticmethod]
fn from_dict(py_dict: &PyDict) -> PyResult<Document> {
let mut field_values: BTreeMap<String, Vec<tv::schema::Value>> =
BTreeMap::new();
for key_value_any in py_dict.items() {
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if let Ok(key_value) = key_value_any.downcast::<PyTuple>() {
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if key_value.len() != 2 {
continue;
}
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let key: String = key_value.get_item(0)?.extract()?;
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let value_list =
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extract_value_single_or_list(key_value.get_item(1)?)?;
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field_values.insert(key, value_list);
}
}
Ok(Document { field_values })
}
/// Returns a dictionary with the different
/// field values.
///
/// In tantivy, `Document` can be hold multiple
/// values for a single field.
///
/// For this reason, the dictionary, will associate
/// a list of value for every field.
fn to_dict(&self, py: Python) -> PyResult<PyObject> {
let dict = PyDict::new(py);
for (key, values) in &self.field_values {
let values_py: Vec<PyObject> = values
.iter()
.map(|v| value_to_py(py, v))
.collect::<PyResult<_>>()?;
dict.set_item(key, values_py)?;
}
Ok(dict.into())
}
/// Add a text value to the document.
///
/// Args:
/// field_name (str): The field name for which we are adding the text.
/// text (str): The text that will be added to the document.
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fn add_text(&mut self, field_name: String, text: &str) {
add_value(self, field_name, text);
}
/// Add an unsigned integer value to the document.
///
/// Args:
/// field_name (str): The field name for which we are adding the unsigned integer.
/// value (int): The integer that will be added to the document.
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fn add_unsigned(&mut self, field_name: String, value: u64) {
add_value(self, field_name, value);
}
/// Add a signed integer value to the document.
///
/// Args:
/// field_name (str): The field name for which we are adding the integer.
/// value (int): The integer that will be added to the document.
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fn add_integer(&mut self, field_name: String, value: i64) {
add_value(self, field_name, value);
}
/// Add a float value to the document.
///
/// Args:
/// field_name (str): The field name for which we are adding the integer.
/// value (f64): The float that will be added to the document.
fn add_float(&mut self, field_name: String, value: f64) {
add_value(self, field_name, value);
}
/// Add a date value to the document.
///
/// Args:
/// field_name (str): The field name for which we are adding the date.
/// value (datetime): The date that will be added to the document.
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fn add_date(&mut self, field_name: String, value: &PyDateTime) {
let datetime = Utc
.ymd(
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value.get_year(),
value.get_month().into(),
value.get_day().into(),
)
.and_hms_micro(
value.get_hour().into(),
value.get_minute().into(),
value.get_second().into(),
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value.get_microsecond(),
);
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add_value(self, field_name, datetime);
}
/// Add a facet value to the document.
/// Args:
/// field_name (str): The field name for which we are adding the facet.
/// value (Facet): The Facet that will be added to the document.
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fn add_facet(&mut self, field_name: String, facet: &Facet) {
add_value(self, field_name, facet.inner.clone());
}
/// Add a bytes value to the document.
///
/// Args:
/// field_name (str): The field for which we are adding the bytes.
/// value (bytes): The bytes that will be added to the document.
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fn add_bytes(&mut self, field_name: String, bytes: Vec<u8>) {
add_value(self, field_name, bytes);
}
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/// Add a bytes value to the document.
///
/// Args:
/// field_name (str): The field for which we are adding the bytes.
/// value (str): The json object that will be added to the document.
fn add_json(&mut self, field_name: String, json: &str) {
let json_object: serde_json::Value =
serde_json::from_str(json).unwrap();
add_value(self, field_name, json_object);
}
/// Returns the number of added fields that have been added to the document
#[getter]
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fn num_fields(&self) -> usize {
self.field_values.len()
}
/// True if the document is empty, False otherwise.
#[getter]
fn is_empty(&self) -> bool {
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self.field_values.is_empty()
}
/// Get the first value associated with the given field.
///
/// Args:
/// field (Field): The field for which we would like to get the value.
///
/// Returns the value if one is found, otherwise None.
/// The type of the value depends on the field.
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fn get_first(
&self,
py: Python,
fieldname: &str,
) -> PyResult<Option<PyObject>> {
if let Some(value) = self.iter_values_for_field(fieldname).next() {
let py_value = value_to_py(py, value)?;
Ok(Some(py_value))
} else {
Ok(None)
}
}
/// Get the all values associated with the given field.
///
/// Args:
/// field (Field): The field for which we would like to get the values.
///
/// Returns a list of values.
/// The type of the value depends on the field.
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fn get_all(&self, py: Python, field_name: &str) -> PyResult<Vec<PyObject>> {
self.iter_values_for_field(field_name)
.map(|value| value_to_py(py, value))
.collect::<PyResult<Vec<_>>>()
}
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fn __getitem__(&self, field_name: &str) -> PyResult<Vec<PyObject>> {
let gil = Python::acquire_gil();
let py = gil.python();
self.get_all(py, field_name)
}
fn __repr__(&self) -> PyResult<String> {
Ok(format!("{:?}", self))
}
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}
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impl Document {
fn iter_values_for_field<'a>(
&'a self,
field: &str,
) -> impl Iterator<Item = &'a Value> + 'a {
self.field_values
.get(field)
.into_iter()
.flat_map(|values| values.iter())
}
}