Files
jap_learn/src/data_provider/import.rs
T

86 lines
2.4 KiB
Rust

use rusqlite::Connection;
use serde_json::Value;
use hashbrown::HashMap;
#[derive(Clone)]
pub struct ImportData(pub(crate) Vec<ImportGroup>);
#[derive(Clone, Debug)]
pub struct ImportGroup {
pub id: u64,
pub name: String,
pub fields: Vec<String>,
pub length: u64,
pub mapping: HashMap<String, String>,
pub imported: bool,
}
#[derive(Clone)]
pub struct ImportNote {
pub tags: String,
pub fields: Vec<String>,
}
pub fn load_groups(connection: &Connection) -> ImportData {
let json_models: String = connection
.query_one("select models from col", (), |row| row.get(0))
.unwrap();
let raw: Value = serde_json::from_str(json_models.as_str()).unwrap();
let sets = raw.as_object().unwrap();
let mut total_data = ImportData(vec![]);
let mut count_stmt = connection
.prepare("select mid, count(id) from notes group by mid")
.unwrap();
let counts = count_stmt
.query_map([], |row| Ok((row.get(0)?, row.get(1)?)))
.unwrap()
.map(|x| x.unwrap())
.collect::<Vec<(i64, i64)>>();
for (_, collection) in sets {
let fields = collection["flds"]
.as_array()
.unwrap()
.iter()
.map(|x| x["name"].as_str().unwrap().to_string())
.collect();
let mut group = ImportGroup {
id: collection["id"].as_u64().unwrap(),
name: collection["name"].as_str().unwrap().to_string(),
fields,
mapping: Default::default(),
length: 0,
imported: false,
};
if let Some((_, count)) = counts.iter().find(|(id, _)| *id == group.id as i64) {
group.length = *count as u64
}
println!("{:?}", group);
total_data.0.push(group);
}
total_data
}
pub fn get_words_of_group(connection: &Connection, group_id: u64) -> Vec<ImportNote> {
let mut count_stmt = connection
.prepare("select tags, flds from notes where mid == ?1;")
.unwrap();
count_stmt
.query_map((group_id as i64,), |row| {
Ok(ImportNote {
tags: row.get(0)?,
fields: row
.get::<usize, String>(1)?
.split('')
.map(|x| x.to_string())
.collect(),
})
})
.unwrap()
.map(|x| x.unwrap())
.collect::<Vec<ImportNote>>()
}