#![allow(clippy::new_ret_no_self)] #![allow(clippy::wrong_self_convention)] use itertools::Itertools; use pyo3::{ prelude::*, types::{ PyAny, PyDateAccess, PyDateTime, PyDict, PyList, PyTimeAccess, PyTuple, }, }; use chrono::{offset::TimeZone, Datelike, Timelike, Utc}; use tantivy as tv; use crate::{facet::Facet, to_pyerr}; use serde_json::Value as JsonValue; use std::{ collections::{BTreeMap, HashMap}, fmt, }; use tantivy::schema::Value; 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) } } } fn value_to_py(py: Python, value: &Value) -> PyResult { Ok(match value { 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), Value::Bytes(b) => b.to_object(py), Value::PreTokStr(_pretoken) => { // TODO implement me unimplemented!(); } 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, )? .into_py(py), Value::Facet(f) => Facet { inner: f.clone() }.into_py(py), Value::JsonObject(json_object) => { let inner: HashMap<_, _> = json_object .iter() .map(|(k, v)| (k, value_to_object(&v, py))) .collect(); inner.to_object(py) } }) } 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(), Value::PreTokStr(_pretok) => { // TODO implement me unimplemented!(); } Value::JsonObject(json_object) => { serde_json::to_string(&json_object).unwrap() } } } /// Tantivy's Document is the object that can be indexed and then searched for. /// /// Documents are fundamentally a collection of unordered tuples /// (field_name, value). In this list, one field may appear more than once. /// /// Example: /// >>> doc = tantivy.Document() /// >>> 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.")) /// /// 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] #[derive(Default)] pub(crate) struct Document { pub(crate) field_values: BTreeMap>, } 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(); format!("{}=[{}]", field_name, values_str) }) .join(","); write!(f, "Document({})", doc_str) } } fn add_value(doc: &mut Document, field_name: String, value: T) where Value: From, { doc.field_values .entry(field_name) .or_insert_with(Vec::new) .push(Value::from(value)); } pub(crate) fn extract_value(any: &PyAny) -> PyResult { if let Ok(s) = any.extract::() { return Ok(Value::Str(s)); } if let Ok(num) = any.extract::() { return Ok(Value::I64(num)); } if let Ok(num) = any.extract::() { return Ok(Value::F64(num)); } if let Ok(py_datetime) = any.downcast::() { 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)); } if let Ok(facet) = any.extract::() { return Ok(Value::Facet(facet.inner.clone())); } Err(to_pyerr(format!("Value unsupported {:?}", any))) } fn extract_value_single_or_list(any: &PyAny) -> PyResult> { if let Ok(values) = any.downcast::() { values.iter().map(extract_value).collect() } else { Ok(vec![extract_value(any)?]) } } #[pymethods] impl Document { #[new] #[args(kwargs = "**")] fn new(kwargs: Option<&PyDict>) -> PyResult { let mut document = Document::default(); if let Some(field_dict) = kwargs { document.extend(field_dict)?; } Ok(document) } fn extend(&mut self, py_dict: &PyDict) -> PyResult<()> { let mut field_values: BTreeMap> = BTreeMap::new(); for key_value_any in py_dict.items() { if let Ok(key_value) = key_value_any.downcast::() { if key_value.len() != 2 { continue; } let key: String = key_value.get_item(0)?.extract()?; let value_list = extract_value_single_or_list(key_value.get_item(1)?)?; field_values.insert(key, value_list); } } self.field_values.extend(field_values.into_iter()); Ok(()) } #[staticmethod] fn from_dict(py_dict: &PyDict) -> PyResult { let mut field_values: BTreeMap> = BTreeMap::new(); for key_value_any in py_dict.items() { if let Ok(key_value) = key_value_any.downcast::() { if key_value.len() != 2 { continue; } let key: String = key_value.get_item(0)?.extract()?; let value_list = extract_value_single_or_list(key_value.get_item(1)?)?; 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 { let dict = PyDict::new(py); for (key, values) in &self.field_values { let values_py: Vec = values .iter() .map(|v| value_to_py(py, v)) .collect::>()?; 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. 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. 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. fn add_integer(&mut self, field_name: String, value: i64) { 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. fn add_date(&mut self, field_name: String, value: &PyDateTime) { let datetime = Utc .ymd( 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(), value.get_microsecond(), ); 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. 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. fn add_bytes(&mut self, field_name: String, bytes: Vec) { add_value(self, field_name, bytes); } /// 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] fn num_fields(&self) -> usize { self.field_values.len() } /// True if the document is empty, False otherwise. #[getter] fn is_empty(&self) -> bool { 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. fn get_first( &self, py: Python, fieldname: &str, ) -> PyResult> { 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. fn get_all(&self, py: Python, field_name: &str) -> PyResult> { self.iter_values_for_field(field_name) .map(|value| value_to_py(py, value)) .collect::>>() } fn __getitem__(&self, field_name: &str) -> PyResult> { let gil = Python::acquire_gil(); let py = gil.python(); self.get_all(py, field_name) } fn __repr__(&self) -> PyResult { Ok(format!("{:?}", self)) } } impl Document { fn iter_values_for_field<'a>( &'a self, field: &str, ) -> impl Iterator + 'a { self.field_values .get(field) .into_iter() .flat_map(|values| values.iter()) } }