jap_learn/src/data_provider/import.rs

use std::collections::BTreeMap;
use crate::helpers::into_result;
use crate::notification::NotificationData;
use crate::notification::NotificationData::IncorrectAnkiFile;
use log::info;
use rusqlite::Connection;
use serde_json::Value;

#[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: BTreeMap<String, String>,
    pub imported: bool,
}

#[derive(Clone)]
pub struct ImportNote {
    pub tags: String,
    pub fields: Vec<String>,
}

pub fn load_groups(connection: &Connection) -> Result<ImportData, NotificationData> {
    let json_models: String = connection
        .query_one("select models from col", (), |row| row.get(0))
        .map_err(|_| IncorrectAnkiFile)?;
    let raw: Value = serde_json::from_str(json_models.as_str()).map_err(|_| IncorrectAnkiFile)?;
    let sets = raw.as_object();
    if let Some(sets) = sets {
        let mut total_data = ImportData(vec![]);

        let mut count_stmt = connection
            .prepare("select mid, count(id) from notes group by mid")
            .map_err(|_| IncorrectAnkiFile)?;

        let counts = count_stmt
            .query_map([], |row| Ok((row.get(0)?, row.get(1)?)))
            .map_err(|_| IncorrectAnkiFile)?
            .filter_map(|x| x.ok())
            .collect::<Vec<(i64, i64)>>();

        for (_, collection) in sets {
            let fields_property = collection.get("flds");
            if let Some(fields_property) = fields_property {
                let fields = into_result(fields_property.as_array(), IncorrectAnkiFile)?
                    .iter()
                    .filter_map(|x| x.get("name"))
                    .map(|x| x.as_str().unwrap().to_string())
                    .collect();
                let id = collection.get("id");
                if id.is_none() || id.unwrap().as_u64().is_none() {
                    return Err(IncorrectAnkiFile);
                }
                let id = id.unwrap().as_u64().unwrap();
                let name = collection.get("name");
                if name.is_none() || name.unwrap().as_str().is_none() {
                    return Err(IncorrectAnkiFile);
                }
                let name = name.unwrap().as_str().unwrap().to_string();

                let mut group = ImportGroup {
                    id,
                    name,
                    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
                }
                info!("{:?}", group);
                total_data.0.push(group);
            }
        }
        return Ok(total_data);
    }
    Err(IncorrectAnkiFile)
}

pub fn get_words_of_group(
    connection: &Connection,
    group_id: u64,
) -> Result<Vec<ImportNote>, NotificationData> {
    let mut count_stmt = connection
        .prepare("select tags, flds from notes where mid == ?1;")
        .map_err(|_| IncorrectAnkiFile)?;

    Ok(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(),
            })
        })
        .map_err(|_| IncorrectAnkiFile)?
        .filter_map(|x| x.ok())
        .collect::<Vec<ImportNote>>())
}