Files
dbx/crates/dbx-core/src/document_ops.rs
T

753 lines
29 KiB
Rust

use crate::connection::{AppState, PoolKind};
use crate::db::agent_driver::mongo_document_id_params;
use crate::db::document_result::DocumentQueryResult;
use crate::db::{easysearch_driver, elasticsearch_driver, mongo_driver, vector_driver};
pub use crate::db::vector_driver::CollectionInfo;
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct MongoGridFsFileInfo {
pub id: String,
pub filename: Option<String>,
pub length: i64,
pub chunk_size: i32,
pub upload_date: Option<String>,
pub metadata: Option<serde_json::Value>,
pub md5: Option<String>,
pub content_type: Option<String>,
pub aliases: Option<Vec<String>>,
}
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct MongoGridFsBucketInfo {
pub name: String,
pub file_count: u64,
pub total_bytes: i64,
}
fn cmp_names(left: &str, right: &str) -> std::cmp::Ordering {
let left_lower = left.to_lowercase();
let right_lower = right.to_lowercase();
left_lower.cmp(&right_lower).then_with(|| left.cmp(right))
}
fn sort_names(mut names: Vec<String>) -> Vec<String> {
names.sort_by(|left, right| cmp_names(left, right));
names
}
async fn ensure_document_pool(state: &AppState, connection_id: &str) -> Result<(), String> {
state.get_or_create_pool(connection_id, None).await.map(|_| ())
}
pub async fn list_databases_core(state: &AppState, connection_id: &str) -> Result<Vec<String>, String> {
ensure_document_pool(state, connection_id).await?;
let fallback_database = configured_mongo_database(state, connection_id).await;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => match mongo_driver::list_databases(client).await {
Ok(databases) => Ok(sort_names(databases)),
Err(error) if mongo_list_databases_unauthorized(&error) => {
fallback_mongo_database(&error, fallback_database)
}
Err(error) => Err(error),
},
PoolKind::Elasticsearch(_) => Ok(vec!["default".to_string()]),
PoolKind::Easysearch(_) => Ok(vec!["default".to_string()]),
PoolKind::VectorDb(client) => vector_driver::list_databases(client).await,
PoolKind::Agent(client) => {
let mut client = client.lock().await;
match client.mongo_list_databases::<Vec<serde_json::Value>>().await {
Ok(result) => {
Ok(sort_names(result.iter().filter_map(|v| v.get("name")?.as_str().map(String::from)).collect()))
}
Err(error) if mongo_list_databases_unauthorized(&error) => {
fallback_mongo_database(&error, fallback_database)
}
Err(error) => Err(error),
}
}
_ => Err("Not a MongoDB/Elasticsearch/vector connection".to_string()),
}
}
async fn configured_mongo_database(state: &AppState, connection_id: &str) -> Option<String> {
let configs = state.configs.read().await;
configs.get(connection_id).and_then(|config| config.effective_database().map(str::to_string))
}
fn fallback_mongo_database(error: &str, fallback_database: Option<String>) -> Result<Vec<String>, String> {
fallback_database.map(|database| vec![database]).ok_or_else(|| error.to_string())
}
fn mongo_list_databases_unauthorized(error: &str) -> bool {
let lower = error.to_lowercase();
lower.contains("not authorized") && lower.contains("listdatabases")
}
fn mongo_collection_info(name: String, kind: mongo_driver::MongoCollectionKind) -> CollectionInfo {
CollectionInfo { name: name.clone(), id: name, kind: Some(kind.as_str().to_string()), ..Default::default() }
}
fn sort_mongo_collection_specs(
mut specs: Vec<mongo_driver::MongoCollectionSpec>,
) -> Vec<mongo_driver::MongoCollectionSpec> {
specs.sort_by(|left, right| cmp_names(&left.name, &right.name));
specs
}
/// Decode both generations of the Legacy Agent response. Existing installed
/// Agents return names, while current Agents opt into `name` + `kind` specs.
fn mongo_collection_specs_from_agent_response(
value: serde_json::Value,
) -> Result<Vec<mongo_driver::MongoCollectionSpec>, String> {
let values =
value.as_array().ok_or_else(|| "Invalid MongoDB legacy collection list: expected an array".to_string())?;
values
.iter()
.map(|value| match value {
serde_json::Value::String(name) => Ok(mongo_driver::MongoCollectionSpec {
name: name.clone(),
kind: mongo_driver::MongoCollectionKind::Collection,
}),
serde_json::Value::Object(spec) => {
let name = spec
.get("name")
.and_then(serde_json::Value::as_str)
.ok_or_else(|| "Invalid MongoDB legacy collection spec: name is required".to_string())?;
let kind = spec.get("kind").or_else(|| spec.get("type")).and_then(serde_json::Value::as_str);
Ok(mongo_driver::MongoCollectionSpec {
name: name.to_string(),
kind: mongo_driver::MongoCollectionKind::from_metadata_kind(kind),
})
}
_ => Err("Invalid MongoDB legacy collection list entry".to_string()),
})
.collect()
}
pub(crate) fn mongo_gridfs_bucket_names(names: &[String]) -> Vec<String> {
use std::collections::BTreeSet;
let name_set: BTreeSet<&str> = names.iter().map(String::as_str).collect();
let bucket_names: Vec<String> = names
.iter()
.filter_map(|name| name.strip_suffix(".files"))
.filter(|prefix| name_set.contains(format!("{prefix}.chunks").as_str()))
.map(str::to_string)
.collect::<BTreeSet<_>>()
.into_iter()
.collect();
sort_names(bucket_names)
}
fn mongo_bucket_infos(names: &[String]) -> Vec<CollectionInfo> {
mongo_gridfs_bucket_names(names)
.into_iter()
.map(|bucket_name| CollectionInfo {
name: bucket_name.clone(),
id: format!("bucket:{bucket_name}"),
kind: Some("bucket".to_string()),
bucket_name: Some(bucket_name),
..Default::default()
})
.collect()
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
enum GridFsBucketSortField {
Name,
FileCount,
TotalBytes,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
struct GridFsBucketSort {
field: GridFsBucketSortField,
descending: bool,
}
fn parse_gridfs_bucket_sort(sort: Option<&str>) -> Result<GridFsBucketSort, String> {
let Some(raw) = sort.map(str::trim).filter(|value| !value.is_empty()) else {
return Ok(GridFsBucketSort { field: GridFsBucketSortField::Name, descending: false });
};
let value: serde_json::Value =
serde_json::from_str(raw).map_err(|e| format!("Invalid GridFS bucket sort JSON: {e}"))?;
let object = value.as_object().ok_or_else(|| "GridFS bucket sort must be a JSON object".to_string())?;
if object.len() != 1 {
return Err("GridFS bucket sort must contain exactly one field".to_string());
}
let (field_name, direction) = object.iter().next().expect("checked len");
let field = match field_name.as_str() {
"name" => GridFsBucketSortField::Name,
"fileCount" => GridFsBucketSortField::FileCount,
"totalBytes" => GridFsBucketSortField::TotalBytes,
_ => return Err(format!("Unsupported GridFS bucket sort field: {field_name}")),
};
let descending = match direction {
serde_json::Value::Number(value) if value.as_i64() == Some(-1) => true,
serde_json::Value::Number(value) if value.as_i64() == Some(1) => false,
serde_json::Value::String(value) if value.eq_ignore_ascii_case("desc") || value == "-1" => true,
serde_json::Value::String(value) if value.eq_ignore_ascii_case("asc") || value == "1" => false,
_ => return Err("GridFS bucket sort direction must be 1, -1, 'asc', or 'desc'".to_string()),
};
Ok(GridFsBucketSort { field, descending })
}
fn filter_and_sort_gridfs_bucket_infos(
mut buckets: Vec<MongoGridFsBucketInfo>,
filter: Option<&str>,
sort: Option<&str>,
) -> Result<Vec<MongoGridFsBucketInfo>, String> {
if let Some(filter_text) = filter.map(str::trim).filter(|value| !value.is_empty()) {
let needle = filter_text.to_lowercase();
buckets.retain(|bucket| bucket.name.to_lowercase().contains(&needle));
}
let sort = parse_gridfs_bucket_sort(sort)?;
buckets.sort_by(|left, right| {
let name_cmp =
left.name.to_lowercase().cmp(&right.name.to_lowercase()).then_with(|| left.name.cmp(&right.name));
let ordering = match sort.field {
GridFsBucketSortField::Name => name_cmp,
GridFsBucketSortField::FileCount => left.file_count.cmp(&right.file_count).then_with(|| name_cmp),
GridFsBucketSortField::TotalBytes => left.total_bytes.cmp(&right.total_bytes).then_with(|| name_cmp),
};
if sort.descending {
ordering.reverse()
} else {
ordering
}
});
Ok(buckets)
}
pub async fn list_collections_core(
state: &AppState,
connection_id: &str,
database: &str,
) -> Result<Vec<CollectionInfo>, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => {
let specs = sort_mongo_collection_specs(mongo_driver::list_collection_specs(client, database).await?);
let names: Vec<String> = specs.iter().map(|spec| spec.name.clone()).collect();
let mut infos = mongo_bucket_infos(&names);
infos.extend(specs.into_iter().map(|spec| mongo_collection_info(spec.name, spec.kind)));
Ok(infos)
}
PoolKind::Elasticsearch(client) => {
let names = sort_names(elasticsearch_driver::list_indices(client).await?);
Ok(names.into_iter().map(|n| CollectionInfo { name: n.clone(), id: n, ..Default::default() }).collect())
}
PoolKind::Easysearch(client) => {
let names = sort_names(easysearch_driver::list_indices(client).await?);
Ok(names.into_iter().map(|n| CollectionInfo { name: n.clone(), id: n, ..Default::default() }).collect())
}
PoolKind::VectorDb(client) => vector_driver::list_collections_with_db(client, database).await,
PoolKind::Agent(client) => {
let mut client = client.lock().await;
let specs = sort_mongo_collection_specs(mongo_collection_specs_from_agent_response(
client.mongo_list_collection_specs(database).await?,
)?);
let names: Vec<String> = specs.iter().map(|spec| spec.name.clone()).collect();
let mut infos = mongo_bucket_infos(&names);
infos.extend(specs.into_iter().map(|spec| mongo_collection_info(spec.name, spec.kind)));
Ok(infos)
}
_ => Err("Not a MongoDB/Elasticsearch/vector connection".to_string()),
}
}
pub async fn list_gridfs_files_core(
state: &AppState,
connection_id: &str,
database: &str,
bucket: &str,
filter: Option<&str>,
sort: Option<&str>,
) -> Result<Vec<MongoGridFsFileInfo>, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::list_gridfs_files(client, database, bucket, filter, sort).await,
PoolKind::Agent(_) => Err("MongoDB legacy agent does not support GridFS file browsing".to_string()),
_ => Err("Not a MongoDB connection".to_string()),
}
}
pub async fn list_gridfs_buckets_core(
state: &AppState,
connection_id: &str,
database: &str,
filter: Option<&str>,
sort: Option<&str>,
) -> Result<Vec<MongoGridFsBucketInfo>, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => {
let names = sort_names(mongo_driver::list_collections(client, database).await?);
let bucket_names = mongo_gridfs_bucket_names(&names);
let mut buckets = Vec::with_capacity(bucket_names.len());
for bucket_name in bucket_names {
buckets.push(mongo_driver::gridfs_bucket_summary(client, database, &bucket_name).await?);
}
filter_and_sort_gridfs_bucket_infos(buckets, filter, sort)
}
PoolKind::Agent(_) => Err("MongoDB legacy agent does not support GridFS bucket browsing".to_string()),
_ => Err("Not a MongoDB connection".to_string()),
}
}
pub async fn create_gridfs_bucket_core(
state: &AppState,
connection_id: &str,
database: &str,
bucket: &str,
) -> Result<(), String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::create_gridfs_bucket(client, database, bucket).await,
PoolKind::Agent(_) => Err("MongoDB legacy agent does not support GridFS bucket creation".to_string()),
_ => Err("Not a MongoDB connection".to_string()),
}
}
pub async fn delete_gridfs_bucket_core(
state: &AppState,
connection_id: &str,
database: &str,
bucket: &str,
) -> Result<(), String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::delete_gridfs_bucket(client, database, bucket).await,
PoolKind::Agent(_) => Err("MongoDB legacy agent does not support GridFS bucket deletion".to_string()),
_ => Err("Not a MongoDB connection".to_string()),
}
}
pub async fn download_gridfs_file_core(
state: &AppState,
connection_id: &str,
database: &str,
bucket: &str,
file_id: &str,
) -> Result<Vec<u8>, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::download_gridfs_file(client, database, bucket, file_id).await,
PoolKind::Agent(_) => Err("MongoDB legacy agent does not support GridFS download".to_string()),
_ => Err("Not a MongoDB connection".to_string()),
}
}
pub async fn upload_gridfs_file_core(
state: &AppState,
connection_id: &str,
database: &str,
bucket: &str,
file_name: &str,
data: &[u8],
content_type: Option<&str>,
) -> Result<String, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => {
mongo_driver::upload_gridfs_file(client, database, bucket, file_name, data, content_type).await
}
PoolKind::Agent(_) => Err("MongoDB legacy agent does not support GridFS uploads".to_string()),
_ => Err("Not a MongoDB connection".to_string()),
}
}
pub async fn delete_gridfs_file_core(
state: &AppState,
connection_id: &str,
database: &str,
bucket: &str,
file_id: &str,
) -> Result<(), String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::delete_gridfs_file(client, database, bucket, file_id).await,
PoolKind::Agent(_) => Err("MongoDB legacy agent does not support GridFS file deletion".to_string()),
_ => Err("Not a MongoDB connection".to_string()),
}
}
#[allow(clippy::too_many_arguments)]
pub async fn find_documents_core(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
skip: u64,
limit: i64,
filter: Option<&str>,
projection: Option<&str>,
sort: Option<&str>,
collation: Option<&str>,
) -> Result<DocumentQueryResult, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => {
// Document browser responses must retain BSON type metadata so nested filters
// can round-trip ObjectId, Date, and int64 values through Extended JSON.
mongo_driver::find_documents_extended_json(
client, database, collection, skip, limit, filter, projection, sort, collation,
)
.await
}
PoolKind::Elasticsearch(client) => {
let client = client.clone();
drop(connections);
elasticsearch_driver::find_documents(&client, collection, skip, limit, filter, sort).await
}
PoolKind::Easysearch(client) => {
let client = client.clone();
drop(connections);
easysearch_driver::find_documents(&client, collection, skip, limit, filter, sort).await
}
PoolKind::VectorDb(client) => {
let client = client.clone();
drop(connections);
let _ = (filter, sort);
vector_driver::find_documents(&client, database, collection, skip, limit).await
}
PoolKind::Agent(client) => {
let mut client = client.lock().await;
let mut params = serde_json::json!({
"database": database,
"collection": collection,
"skip": skip,
"limit": limit,
"filter": filter,
"sort": sort,
});
if let Some(projection) = projection {
params["projection"] = serde_json::json!(projection);
}
if let Some(collation) = collation {
params["collation"] = serde_json::json!(collation);
}
match client.mongo_find_documents_extended_json(params.clone()).await {
Ok(result) => Ok(result),
Err(error) if is_unknown_agent_method_error(&error, "find_documents_extended_json") => {
client.mongo_find_documents(params).await
}
Err(error) => Err(error),
}
}
_ => Err("Not a MongoDB/Elasticsearch/vector connection".to_string()),
}
}
pub async fn count_elasticsearch_documents_core(
state: &AppState,
connection_id: &str,
index: &str,
filter: Option<&str>,
) -> Result<u64, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::Elasticsearch(client) => {
let client = client.clone();
drop(connections);
elasticsearch_driver::count_documents(&client, index, filter).await
}
PoolKind::Easysearch(client) => {
let client = client.clone();
drop(connections);
easysearch_driver::count_documents(&client, index, filter).await
}
_ => Err("Not an Elasticsearch connection".to_string()),
}
}
fn is_unknown_agent_method_error(error: &str, method: &str) -> bool {
let lower = error.to_ascii_lowercase();
lower.contains(method) && (lower.contains("unknown method") || lower.contains("method not found"))
}
pub async fn insert_document_core(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
doc_json: &str,
routing: Option<&str>,
) -> Result<String, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::insert_document(client, database, collection, doc_json).await,
PoolKind::Elasticsearch(client) => {
let client = client.clone();
drop(connections);
elasticsearch_driver::insert_document(&client, collection, doc_json, routing).await
}
PoolKind::Easysearch(client) => {
let client = client.clone();
drop(connections);
easysearch_driver::insert_document(&client, collection, doc_json, routing).await
}
PoolKind::Agent(client) => {
let mut client = client.lock().await;
let result: serde_json::Value = client
.mongo_insert_document(serde_json::json!({
"database": database,
"collection": collection,
"doc_json": doc_json,
}))
.await?;
Ok(result.get("inserted_id").and_then(|v| v.as_str()).unwrap_or("").to_string())
}
_ => Err("Not a MongoDB/Elasticsearch connection".to_string()),
}
}
pub async fn insert_document_preserving_bson_types_core(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
doc_json: &str,
routing: Option<&str>,
) -> Result<String, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => {
mongo_driver::insert_document_extended_json(client, database, collection, doc_json).await
}
_ => {
drop(connections);
insert_document_core(state, connection_id, database, collection, doc_json, routing).await
}
}
}
pub async fn update_document_core(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
id: &str,
doc_json: &str,
routing: Option<&str>,
) -> Result<u64, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::update_document(client, database, collection, id, doc_json).await,
PoolKind::Elasticsearch(client) => {
let client = client.clone();
drop(connections);
// Elasticsearch requires the same custom routing value for writes
// as was used to index the document.
elasticsearch_driver::update_document(&client, collection, id, doc_json, routing).await
}
PoolKind::Easysearch(client) => {
let client = client.clone();
drop(connections);
easysearch_driver::update_document(&client, collection, id, doc_json, routing).await
}
PoolKind::Agent(client) => {
let mut client = client.lock().await;
let result: serde_json::Value = client
.mongo_update_document(serde_json::json!({
"database": database,
"collection": collection,
"id": id,
"doc_json": doc_json,
}))
.await?;
Ok(result.get("modified_count").and_then(|v| v.as_u64()).unwrap_or(0))
}
_ => Err("Not a MongoDB/Elasticsearch connection".to_string()),
}
}
pub async fn delete_document_core(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
id: &str,
routing: Option<&str>,
) -> Result<u64, String> {
delete_document_core_with_type(state, connection_id, database, collection, id, routing, None).await
}
pub async fn delete_document_core_with_type(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
id: &str,
routing: Option<&str>,
document_type: Option<&str>,
) -> Result<u64, String> {
ensure_document_pool(state, connection_id).await?;
let connections = state.connections.read().await;
match connections.get(connection_id).ok_or("Not found")? {
PoolKind::MongoDb(client) => mongo_driver::delete_document(client, database, collection, id).await,
PoolKind::Elasticsearch(client) => {
let client = client.clone();
drop(connections);
// Elasticsearch requires the same custom routing value for writes
// as was used to index the document.
elasticsearch_driver::delete_document(&client, collection, id, document_type, routing).await
}
PoolKind::Easysearch(client) => {
let client = client.clone();
drop(connections);
easysearch_driver::delete_document(&client, collection, id, document_type, routing).await
}
PoolKind::Agent(client) => {
let mut client = client.lock().await;
let result: serde_json::Value =
client.mongo_delete_document(mongo_document_id_params(database, collection, id)).await?;
Ok(result.get("deleted_count").and_then(|v| v.as_u64()).unwrap_or(0))
}
_ => Err("Not a MongoDB/Elasticsearch connection".to_string()),
}
}
#[cfg(test)]
mod tests {
use super::{
fallback_mongo_database, filter_and_sort_gridfs_bucket_infos, mongo_collection_specs_from_agent_response,
mongo_gridfs_bucket_names, mongo_list_databases_unauthorized, parse_gridfs_bucket_sort, sort_names,
MongoGridFsBucketInfo,
};
use crate::db::mongo_driver::MongoCollectionKind;
#[test]
fn sorts_names_case_insensitively() {
let sorted = sort_names(vec![
"movies".to_string(),
"Comments".to_string(),
"users".to_string(),
"embedded_movies".to_string(),
]);
assert_eq!(sorted, vec!["Comments", "embedded_movies", "movies", "users"]);
}
#[test]
fn detects_mongo_list_databases_unauthorized_errors() {
assert!(mongo_list_databases_unauthorized(
"Command failed with error 13 (Unauthorized): not authorized on admin to execute command { listDatabases: 1 }",
));
assert!(!mongo_list_databases_unauthorized("not authorized to execute command { find: \"orders\" }"));
}
#[test]
fn falls_back_to_configured_mongo_database() {
assert_eq!(
fallback_mongo_database("not authorized", Some("app".to_string())).unwrap(),
vec!["app".to_string()],
);
assert_eq!(fallback_mongo_database("not authorized", None).unwrap_err(), "not authorized");
}
#[test]
fn extracts_gridfs_bucket_names_from_matching_files_and_chunks_collections() {
let buckets = mongo_gridfs_bucket_names(&[
"orders.files".to_string(),
"orders.chunks".to_string(),
"reports.files".to_string(),
"reports.chunks".to_string(),
"reports.files".to_string(),
"loose.files".to_string(),
]);
assert_eq!(buckets, vec!["orders".to_string(), "reports".to_string()]);
}
#[test]
fn decodes_legacy_collection_names_and_type_aware_specs() {
let specs = mongo_collection_specs_from_agent_response(serde_json::json!([
"orders",
{ "name": "report_view", "kind": "view" },
{ "name": "metrics", "kind": "timeseries" },
{ "name": "future_kind", "kind": "unknown" }
]))
.unwrap();
assert_eq!(
specs.into_iter().map(|spec| (spec.name, spec.kind)).collect::<Vec<_>>(),
vec![
("orders".to_string(), MongoCollectionKind::Collection),
("report_view".to_string(), MongoCollectionKind::View),
("metrics".to_string(), MongoCollectionKind::Timeseries),
("future_kind".to_string(), MongoCollectionKind::Collection),
]
);
}
#[test]
fn filters_gridfs_buckets_by_case_insensitive_name_match() {
let buckets = filter_and_sort_gridfs_bucket_infos(
vec![
MongoGridFsBucketInfo { name: "images".to_string(), file_count: 4, total_bytes: 512 },
MongoGridFsBucketInfo { name: "nightly-reports".to_string(), file_count: 9, total_bytes: 4096 },
MongoGridFsBucketInfo { name: "videos".to_string(), file_count: 2, total_bytes: 8192 },
],
Some("REPORT"),
None,
)
.unwrap();
assert_eq!(
buckets.into_iter().map(|bucket| bucket.name).collect::<Vec<_>>(),
vec!["nightly-reports".to_string()]
);
}
#[test]
fn sorts_gridfs_buckets_by_total_bytes_descending() {
let buckets = filter_and_sort_gridfs_bucket_infos(
vec![
MongoGridFsBucketInfo { name: "images".to_string(), file_count: 4, total_bytes: 512 },
MongoGridFsBucketInfo { name: "nightly-reports".to_string(), file_count: 9, total_bytes: 4096 },
MongoGridFsBucketInfo { name: "videos".to_string(), file_count: 2, total_bytes: 8192 },
],
None,
Some(r#"{"totalBytes":-1}"#),
)
.unwrap();
assert_eq!(
buckets.into_iter().map(|bucket| bucket.name).collect::<Vec<_>>(),
vec!["videos".to_string(), "nightly-reports".to_string(), "images".to_string()]
);
}
#[test]
fn gridfs_bucket_sort_rejects_unknown_fields() {
let error = parse_gridfs_bucket_sort(Some(r#"{"createdAt":-1}"#)).unwrap_err();
assert!(error.contains("Unsupported GridFS bucket sort field"));
}
}