|
| 1 | +use crate::{ |
| 2 | + models::{activities::Activity, users::User}, |
| 3 | + routers::users::time::UserActivityTime, |
| 4 | +}; |
| 5 | +use bson::{doc, from_document}; |
| 6 | +use futures::stream::TryStreamExt; |
| 7 | +use mongodb::{Collection, Database}; |
| 8 | +use polars::{df, frame::DataFrame, prelude::NamedFrom, series::Series}; |
| 9 | +use std::sync::Arc; |
| 10 | +use tokio::sync::Mutex; |
1 | 11 |
|
| 12 | +async fn export(db: Arc<Mutex<Database>>) -> Result<DataFrame, String> { |
| 13 | + let db = db.lock().await; |
| 14 | + let mut df = df!( |
| 15 | + "_id" => &["".to_string()], |
| 16 | + "id" => &["0".to_string()], |
| 17 | + "name" => &["Example".to_string()], |
| 18 | + "class" => &["".to_string()], |
| 19 | + "on_campus" => &[0.0], |
| 20 | + "off_campus" => &[0.0], |
| 21 | + "social_practice" => &[0.0], |
| 22 | + "total" => &[0.0] |
| 23 | + ) |
| 24 | + .unwrap(); |
| 25 | + |
| 26 | + let users_collection: Collection<User> = db.collection("users"); |
| 27 | + let activities_collection: Collection<Activity> = db.collection("activities"); |
| 28 | + |
| 29 | + let mut users = users_collection.find(doc! {}, None).await.unwrap(); |
| 30 | + |
| 31 | + while let Some(doc) = users.try_next().await.unwrap() { |
| 32 | + let pipeline = vec![ |
| 33 | + doc! { |
| 34 | + "$match": { |
| 35 | + "$or": [ |
| 36 | + { "members._id": doc._id.clone() }, |
| 37 | + { "members._id": doc._id.to_hex() } |
| 38 | + ] |
| 39 | + } |
| 40 | + }, |
| 41 | + doc! { |
| 42 | + "$unwind": "$members" |
| 43 | + }, |
| 44 | + doc! { |
| 45 | + "$match": { |
| 46 | + "$or": [ |
| 47 | + { "members._id": doc._id.clone() }, |
| 48 | + { "members._id": doc._id.to_hex() } |
| 49 | + ] |
| 50 | + } |
| 51 | + }, |
| 52 | + doc! { |
| 53 | + "$group": { |
| 54 | + "_id": "$members.mode", |
| 55 | + "totalDuration": { "$sum": "$members.duration" } |
| 56 | + } |
| 57 | + }, |
| 58 | + doc! { |
| 59 | + "$group": { |
| 60 | + "_id": null, |
| 61 | + "on_campus": { |
| 62 | + "$sum": { |
| 63 | + "$cond": [{ "$eq": ["$_id", "on-campus"] }, "$totalDuration", 0.0] |
| 64 | + } |
| 65 | + }, |
| 66 | + "off_campus": { |
| 67 | + "$sum": { |
| 68 | + "$cond": [{ "$eq": ["$_id", "off-campus"] }, "$totalDuration", 0.0] |
| 69 | + } |
| 70 | + }, |
| 71 | + "social_practice": { |
| 72 | + "$sum": { |
| 73 | + "$cond": [{ "$eq": ["$_id", "social-practice"] }, "$totalDuration", 0.0] |
| 74 | + } |
| 75 | + }, |
| 76 | + "total": { "$sum": "$totalDuration" } |
| 77 | + } |
| 78 | + }, |
| 79 | + doc! { |
| 80 | + "$project": { |
| 81 | + "_id": 0, |
| 82 | + "on_campus": 1, |
| 83 | + "off_campus": 1, |
| 84 | + "social_practice": 1, |
| 85 | + "total": 1 |
| 86 | + } |
| 87 | + }, |
| 88 | + ]; |
| 89 | + let cursor = activities_collection.aggregate(pipeline, None).await; |
| 90 | + if let Err(_) = cursor { |
| 91 | + return Err("Failed to get cursor".to_string()); |
| 92 | + } |
| 93 | + let mut cursor = cursor.unwrap(); |
| 94 | + let result = cursor.try_next().await; |
| 95 | + if let Err(_) = result { |
| 96 | + return Err("Failed to get result".to_string()); |
| 97 | + } |
| 98 | + let result = result.unwrap(); |
| 99 | + if let None = result { |
| 100 | + return Err("Failed to get result".to_string()); |
| 101 | + } |
| 102 | + let result = result.unwrap(); |
| 103 | + let result: UserActivityTime = from_document(result).unwrap(); |
| 104 | + let extend = DataFrame::new(vec![ |
| 105 | + Series::new("_id", vec![doc._id.clone().to_hex()]), |
| 106 | + Series::new("id", vec![doc.id.clone()]), |
| 107 | + Series::new("name", vec![doc.name.clone()]), |
| 108 | + Series::new("class", vec!["".to_string()]), |
| 109 | + Series::new("on_campus", vec![result.on_campus]), |
| 110 | + Series::new("off_campus", vec![result.off_campus]), |
| 111 | + Series::new("social_practice", vec![result.social_practice]), |
| 112 | + Series::new("total", vec![result.total]), |
| 113 | + ]); |
| 114 | + if let Err(_) = extend { |
| 115 | + return Err("Failed to create DataFrame".to_string()); |
| 116 | + } |
| 117 | + let extend = extend.unwrap(); |
| 118 | + df.extend(&extend).unwrap(); |
| 119 | + } |
| 120 | + Ok(df) |
| 121 | +} |
0 commit comments