Add last_saved and related fields to the database

This commit is contained in:
Joshua Coles 2024-03-10 18:56:40 +00:00
parent 057fa81e67
commit 32db8446b5
4 changed files with 91 additions and 16 deletions

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@ -7,7 +7,7 @@ license = "MIT OR Apache-2.0"
[dependencies] [dependencies]
clap = { version = "4.4.18", features = ["derive", "env"] } clap = { version = "4.4.18", features = ["derive", "env"] }
sqlx = { version = "0.7.3", features = ["json", "runtime-tokio-rustls", "postgres", "chrono", 'uuid'] } sqlx = { version = "0.7.3", features = ["json", "runtime-tokio-rustls", "postgres", "chrono", "uuid"] }
tokio = { version = "1", features = ["full"] } tokio = { version = "1", features = ["full"] }
flate2 = "1" flate2 = "1"
thiserror = "1" thiserror = "1"

29
DATA_OBSERVATIONS.md Normal file
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@ -0,0 +1,29 @@
# Repeated Entries
```postgresql
with timeline_items as (select jsonb_array_elements(json -> 'timelineItems') - 'samples' as entry
from raw_files)
select entry ->> 'itemId' as item_id,
entry ->> 'lastSaved' as last_saved,
entry ->> 'endDate' as end_date,
entry ->> 'startDate' as start_date
from timeline_items
WHERE entry ->> 'itemId' IN (SELECT entry ->> 'itemId'
FROM timeline_items
GROUP BY entry ->> 'itemId'
HAVING COUNT(entry ->> 'itemId') > 1);
```
```postgresql
select md5(rfe.entry)
from (select jsonb_array_elements(json -> 'timelineItems') - 'samples' as entry
from raw_files) as rfe
where rfe.entry ->> 'itemId' = '01300b32-a3f7-4911-ab63-a0cbf0f312e0';
```
```csv
c7e2a142aabdcdddd00143da6612c235
c7e2a142aabdcdddd00143da6612c235
```
running this query we see that the JSON content of the repeated entry is the same so it can be discounted.

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@ -0,0 +1,32 @@
-- Add last_saved columns
-- timeline_item
alter table timeline_item
add column last_saved timestamptz;
update timeline_item
set last_saved = (json ->> 'lastSaved') :: timestamptz
where last_saved is null;
alter table timeline_item
alter column last_saved set not null;
-- place
alter table place
add column last_saved timestamptz;
update place
set last_saved = (json ->> 'lastSaved') :: timestamptz
where last_saved is null;
alter table place
alter column last_saved set not null;
-- Add server_last_updated columns
alter table timeline_item
add column server_last_updated timestamptz not null default now();
alter table place
add column server_last_updated timestamptz not null default now();

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@ -13,7 +13,7 @@ use uuid::Uuid;
#[derive(Parser, Debug)] #[derive(Parser, Debug)]
struct Cli { struct Cli {
/// Root of the arc iCloud directory /// Root of the Arc iCloud directory
#[arg(long, short, env = "ARC_ROOT")] #[arg(long, short, env = "ARC_ROOT")]
root: PathBuf, root: PathBuf,
@ -31,7 +31,7 @@ struct DateHash {
#[derive(Debug, FromRow)] #[derive(Debug, FromRow)]
struct TimelineItemUpdatedCheckRow { struct TimelineItemUpdatedCheckRow {
item_id: Uuid, item_id: Uuid,
end_date: DateTime<Utc>, last_saved: DateTime<Utc>,
} }
#[derive(Debug)] #[derive(Debug)]
@ -53,6 +53,7 @@ struct TimelineItem {
item_id: Uuid, item_id: Uuid,
place: Option<Place>, place: Option<Place>,
end_date: DateTime<Utc>, end_date: DateTime<Utc>,
last_saved: DateTime<Utc>,
#[serde(flatten)] #[serde(flatten)]
rest: HashMap<String, Value>, rest: HashMap<String, Value>,
@ -62,6 +63,7 @@ struct TimelineItem {
#[serde(rename_all = "camelCase")] #[serde(rename_all = "camelCase")]
struct Place { struct Place {
place_id: Uuid, place_id: Uuid,
last_saved: DateTime<Utc>,
#[serde(flatten)] #[serde(flatten)]
rest: HashMap<String, Value>, rest: HashMap<String, Value>,
@ -79,9 +81,12 @@ async fn find_updated(db: &sqlx::PgPool, files: ReadDir) -> Vec<UpdatedFile> {
let date_hashes = &date_hashes; let date_hashes = &date_hashes;
// Find the files that need to be refreshed, based on the sha256 hash of the file compared to
// the hash stored in the database.
let need_refresh = files.into_iter() let need_refresh = files.into_iter()
.map(|f| f.unwrap().path()) .map(|f| f.unwrap().path())
.map(|path| async move { .map(|path| async move {
// Extract the date from the file name
let date = { let date = {
let file_name = path.file_name().unwrap().to_str().unwrap(); let file_name = path.file_name().unwrap().to_str().unwrap();
let i = file_name.find('.').unwrap(); let i = file_name.find('.').unwrap();
@ -123,9 +128,7 @@ async fn find_updated(db: &sqlx::PgPool, files: ReadDir) -> Vec<UpdatedFile> {
#[tokio::main] #[tokio::main]
async fn main() { async fn main() {
let cli = Cli::parse(); let cli = Cli::parse();
let daily_exports = cli.root.join("Export/JSON/Daily");
let root = cli.root;
let daily_exports = root.join("Export/JSON/Daily");
let files = std::fs::read_dir(daily_exports).unwrap(); let files = std::fs::read_dir(daily_exports).unwrap();
let db = sqlx::PgPool::connect(&cli.conn) let db = sqlx::PgPool::connect(&cli.conn)
@ -145,7 +148,9 @@ async fn main() {
.bind(&updated_file.date) .bind(&updated_file.date)
.bind(&updated_file.sha256) .bind(&updated_file.sha256)
.bind(&serde_json::to_value(&updated_file.json).unwrap()) .bind(&serde_json::to_value(&updated_file.json).unwrap())
.execute(&db).await.unwrap(); .execute(&db)
.await
.unwrap();
} }
// Take all the changed files' timeline items, and group them by item_id, then take the latest one. // Take all the changed files' timeline items, and group them by item_id, then take the latest one.
@ -154,42 +159,51 @@ async fn main() {
.flat_map(|f| f.json.timeline_items) .flat_map(|f| f.json.timeline_items)
.group_by(|item| item.item_id.clone()) .group_by(|item| item.item_id.clone())
.into_iter() .into_iter()
.map(|(_, items)| items.max_by_key(|item| item.end_date).unwrap()).collect_vec(); .map(|(_, items)| items.max_by_key(|item| item.last_saved).unwrap())
.collect_vec();
let possibly_timeline_item_ids = possibly_timeline_items.iter().map(|item| item.item_id.clone()).collect::<Vec<_>>(); let possibly_timeline_item_ids = possibly_timeline_items
.iter()
.map(|item| item.item_id.clone())
.collect::<Vec<_>>();
let existing = sqlx::query_as("SELECT item_id, end_date FROM timeline_item where item_id = ANY($1)") let existing_last_saved_at_map = sqlx::query_as("SELECT item_id, end_date, last_saved FROM timeline_item where item_id = ANY($1)")
.bind(&possibly_timeline_item_ids) .bind(&possibly_timeline_item_ids)
.fetch_all(&db) .fetch_all(&db)
.await .await
.unwrap() .unwrap()
.into_iter() .into_iter()
.map(|row: TimelineItemUpdatedCheckRow| (row.item_id, row.end_date)) .map(|row: TimelineItemUpdatedCheckRow| (row.item_id, row.last_saved))
.collect::<HashMap<_, _>>(); .collect::<HashMap<_, _>>();
for updated_timeline_item in possibly_timeline_items { for updated_timeline_item in possibly_timeline_items {
// If we already have a timeline item with this id, and it has a later end date, we don't need to update it. // The contents of duplicated entries appears to be identical, so we only check to see if
if let Some(existing_end_date) = existing.get(&updated_timeline_item.item_id) { // the last_saved date is newer than the one we have in the database.
if *existing_end_date >= updated_timeline_item.end_date { if let Some(existing_last_saved_at) = existing_last_saved_at_map.get(&updated_timeline_item.item_id) {
if updated_timeline_item.last_saved <= *existing_last_saved_at {
continue; continue;
} }
} }
// We have a new or updated timeline item, we need to insert its associated place first if // We have a new or updated timeline item, we need to insert its associated place first if
// it exists. // it exists.
// ASSUMPTION: This assumes that all place changes as associated with the timeline item
// changes. Is this true?
if let Some(place) = &updated_timeline_item.place { if let Some(place) = &updated_timeline_item.place {
sqlx::query("INSERT INTO place (place_id, json) VALUES ($1, $2 :: jsonb) ON CONFLICT (place_id) DO UPDATE SET json = $2 :: jsonb") sqlx::query("INSERT INTO place (place_id, json, last_saved, server_last_updated) VALUES ($1, $2 :: jsonb, $3, now()) ON CONFLICT (place_id) DO UPDATE SET json = $2 :: jsonb, last_saved = $3, server_last_updated = now()")
.bind(&place.place_id) .bind(&place.place_id)
.bind(&serde_json::to_value(&place).unwrap()) .bind(&serde_json::to_value(&place).unwrap())
.bind(&place.last_saved)
.execute(&db).await.unwrap(); .execute(&db).await.unwrap();
} }
// Then we can insert/update the timeline item. // Then we can insert/update the timeline item.
sqlx::query("INSERT INTO timeline_item (item_id, json, place_id, end_date) VALUES ($1, $2 :: jsonb, $3, $4) ON CONFLICT (item_id) DO UPDATE SET json = $2 :: jsonb, place_id = $3, end_date = $4") sqlx::query("INSERT INTO timeline_item (item_id, json, place_id, end_date, last_saved, server_last_updated) VALUES ($1, $2 :: jsonb, $3, $4, $5, now()) ON CONFLICT (item_id) DO UPDATE SET json = $2 :: jsonb, place_id = $3, end_date = $4, last_saved = $5, server_last_updated = now()")
.bind(&updated_timeline_item.item_id) .bind(&updated_timeline_item.item_id)
.bind(&serde_json::to_value(&updated_timeline_item).unwrap()) .bind(&serde_json::to_value(&updated_timeline_item).unwrap())
.bind(&updated_timeline_item.place.map(|place| place.place_id)) .bind(&updated_timeline_item.place.map(|place| place.place_id))
.bind(&updated_timeline_item.end_date) .bind(&updated_timeline_item.end_date)
.bind(&updated_timeline_item.last_saved)
.execute(&db).await.unwrap(); .execute(&db).await.unwrap();
} }
} }