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// Copyright 2022 Datafuse Labs.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::collections::HashMap;
use std::sync::Arc;
use futures::StreamExt;
use futures::TryStreamExt;
use crate::layers::ErrorContextLayer;
use crate::layers::TypeEraseLayer;
use crate::object::ObjectLister;
use crate::raw::*;
use crate::*;
/// User-facing APIs for object and object streams.
#[derive(Clone, Debug)]
pub struct Operator {
accessor: FusedAccessor,
}
impl From<FusedAccessor> for Operator {
fn from(accessor: FusedAccessor) -> Self {
Self { accessor }
}
}
impl Operator {
/// Create a new operator.
///
/// # Examples
///
/// Read more backend init examples in [examples](https://github.com/datafuselabs/opendal/tree/main/examples).
///
/// ```
/// # use anyhow::Result;
/// use opendal::services::Fs;
/// use opendal::Builder;
/// use opendal::Operator;
/// #[tokio::main]
/// async fn main() -> Result<()> {
/// // Create fs backend builder.
/// let mut builder = Fs::default();
/// // Set the root for fs, all operations will happen under this root.
/// //
/// // NOTE: the root must be absolute path.
/// builder.root("/tmp");
///
/// // Build an `Operator` to start operating the storage.
/// let op: Operator = Operator::new(builder.build()?).finish();
///
/// // Create an object handle to start operation on object.
/// let _ = op.object("test_file");
///
/// Ok(())
/// }
/// ```
#[allow(clippy::new_ret_no_self)]
pub fn new<A: Accessor>(acc: A) -> OperatorBuilder<impl Accessor> {
OperatorBuilder::new(acc)
}
/// Create a new operator with input builder.
///
/// OpenDAL will call `builder.build()` internally, so we don't need
/// to import `opendal::Builder` trait.
///
/// # Examples
///
/// Read more backend init examples in [examples](https://github.com/datafuselabs/opendal/tree/main/examples).
///
/// ```
/// # use anyhow::Result;
/// use opendal::services::Fs;
/// use opendal::Operator;
/// #[tokio::main]
/// async fn main() -> Result<()> {
/// // Create fs backend builder.
/// let mut builder = Fs::default();
/// // Set the root for fs, all operations will happen under this root.
/// //
/// // NOTE: the root must be absolute path.
/// builder.root("/tmp");
///
/// // Build an `Operator` to start operating the storage.
/// let op: Operator = Operator::create(builder)?.finish();
///
/// // Create an object handle to start operation on object.
/// let _ = op.object("test_file");
///
/// Ok(())
/// }
/// ```
pub fn create<B: Builder>(mut ab: B) -> Result<OperatorBuilder<impl Accessor>> {
let acc = ab.build()?;
Ok(OperatorBuilder::new(acc))
}
/// Create a new operator from given map.
///
/// ```
/// # use anyhow::Result;
/// use std::collections::HashMap;
///
/// use opendal::services::Fs;
/// use opendal::Operator;
/// #[tokio::main]
/// async fn main() -> Result<()> {
/// let map = HashMap::from([
/// // Set the root for fs, all operations will happen under this root.
/// //
/// // NOTE: the root must be absolute path.
/// ("root".to_string(), "/tmp".to_string()),
/// ]);
///
/// // Build an `Operator` to start operating the storage.
/// let op: Operator = Operator::from_map::<Fs>(map)?.finish();
///
/// // Create an object handle to start operation on object.
/// let _ = op.object("test_file");
///
/// Ok(())
/// }
/// ```
pub fn from_map<B: Builder>(
map: HashMap<String, String>,
) -> Result<OperatorBuilder<impl Accessor>> {
let acc = B::from_map(map).build()?;
Ok(OperatorBuilder::new(acc))
}
/// Create a new operator from iter.
///
/// # WARNING
///
/// It's better to use `from_map`. We may remove this API in the
/// future.
#[allow(clippy::should_implement_trait)]
pub fn from_iter<B: Builder>(
iter: impl Iterator<Item = (String, String)>,
) -> Result<OperatorBuilder<impl Accessor>> {
let acc = B::from_iter(iter).build()?;
Ok(OperatorBuilder::new(acc))
}
/// Create a new operator from env.
///
/// # WARNING
///
/// It's better to use `from_map`. We may remove this API in the
/// future.
pub fn from_env<B: Builder>() -> Result<OperatorBuilder<impl Accessor>> {
let acc = B::from_env().build()?;
Ok(OperatorBuilder::new(acc))
}
/// Get inner accessor.
///
/// This function should only be used by developers to implement layers.
pub fn inner(&self) -> FusedAccessor {
self.accessor.clone()
}
/// Create a new layer with dynamic dispatch.
///
/// # Notes
///
/// `OperatorBuilder::layer()` is using static dispatch which is zero
/// cost. `Operator::layer()` is using dynamic dispatch which has a
/// bit runtime overhead with an extra vtable lookup and unable to
/// inline.
///
/// It's always recommanded to use `OperatorBuilder::layer()` instead.
///
/// # Examples
///
/// ```no_run
/// # use std::sync::Arc;
/// # use anyhow::Result;
/// use opendal::services::Fs;
/// use opendal::Operator;
/// use opendal::layers::LoggingLayer;
///
/// # #[tokio::main]
/// # async fn main() -> Result<()> {
/// let op = Operator::create(Fs::default())?.finish();
/// let op = op.layer(LoggingLayer::default());
/// // All operations will go through the new_layer
/// let _ = op.object("test_file").read().await?;
/// # Ok(())
/// # }
/// ```
#[must_use]
pub fn layer<L: Layer<FusedAccessor>>(self, layer: L) -> Self {
Self {
accessor: Arc::new(TypeEraseLayer.layer(layer.layer(self.accessor))),
}
}
/// Get metadata of underlying accessor.
///
/// # Examples
///
/// ```
/// # use std::sync::Arc;
/// # use anyhow::Result;
/// use opendal::Operator;
///
/// # #[tokio::main]
/// # async fn test(op: Operator) -> Result<()> {
/// let meta = op.metadata();
/// # Ok(())
/// # }
/// ```
pub fn metadata(&self) -> OperatorMetadata {
OperatorMetadata {
acc: self.accessor.metadata(),
}
}
/// Create a new batch operator handle to take batch operations
/// like `walk` and `remove`.
pub fn batch(&self) -> BatchOperator {
BatchOperator::new(self.clone())
}
/// Create a new [`Object`][crate::Object] handle to take operations.
pub fn object(&self, path: &str) -> Object {
Object::new(self.clone(), path)
}
/// Check if this operator can work correctly.
///
/// We will send a `list` request to path and return any errors we met.
///
/// ```
/// # use std::sync::Arc;
/// # use anyhow::Result;
/// use opendal::Operator;
///
/// # #[tokio::main]
/// # async fn test(op: Operator) -> Result<()> {
/// op.check().await?;
/// # Ok(())
/// # }
/// ```
pub async fn check(&self) -> Result<()> {
let mut ds = self.object("/").list().await?;
match ds.next().await {
Some(Err(e)) if e.kind() != ErrorKind::ObjectNotFound => Err(e),
_ => Ok(()),
}
}
}
/// OperatorBuilder is a typed builder to builder an Operator.
///
/// # Notes
///
/// OpenDAL uses static dispatch internally and only perform dynamic
/// dispatch at the outmost type erase layer. OperatorBuilder is the only
/// public API provided by OpenDAL come with generic parameters.
///
/// It's required to call `finish` after the operator built.
///
/// # Examples
///
/// For users who want to support many services, we can build a helper fucntion like the following:
///
/// ```
/// use std::collections::HashMap;
///
/// use backon::ExponentialBackoff;
/// use opendal::layers::LoggingLayer;
/// use opendal::layers::RetryLayer;
/// use opendal::services;
/// use opendal::Builder;
/// use opendal::Operator;
/// use opendal::Result;
/// use opendal::Scheme;
///
/// fn init_service<B: Builder>(cfg: HashMap<String, String>) -> Result<Operator> {
/// let op = Operator::from_map::<B>(cfg)?
/// .layer(LoggingLayer::default())
/// .layer(RetryLayer::new(ExponentialBackoff::default()))
/// .finish();
///
/// Ok(op)
/// }
///
/// async fn init(scheme: Scheme, cfg: HashMap<String, String>) -> Result<()> {
/// let _ = match scheme {
/// Scheme::S3 => init_service::<services::S3>(cfg)?,
/// Scheme::Fs => init_service::<services::Fs>(cfg)?,
/// _ => todo!(),
/// };
///
/// Ok(())
/// }
/// ```
pub struct OperatorBuilder<A: Accessor> {
accessor: A,
}
impl<A: Accessor> OperatorBuilder<A> {
/// Create a new operator builder.
#[allow(clippy::new_ret_no_self)]
pub fn new(accessor: A) -> OperatorBuilder<impl Accessor> {
// Make sure error context layer hass been attached.
OperatorBuilder { accessor }.layer(ErrorContextLayer)
}
/// Create a new layer with static dispatch.
///
/// # Notes
///
/// `OperatorBuilder::layer()` is using static dispatch which is zero
/// cost. `Operator::layer()` is using dynamic dispatch which has a
/// bit runtime overhead with an extra vtable lookup and unable to
/// inline.
///
/// It's always recommanded to use `OperatorBuilder::layer()` instead.
///
/// # Examples
///
/// ```no_run
/// # use std::sync::Arc;
/// # use anyhow::Result;
/// use opendal::services::Fs;
/// use opendal::Operator;
/// use opendal::layers::LoggingLayer;
///
/// # #[tokio::main]
/// # async fn main() -> Result<()> {
/// let op = Operator::create(Fs::default())?.layer(LoggingLayer::default()).finish();
/// // All operations will go through the new_layer
/// let _ = op.object("test_file").read().await?;
/// # Ok(())
/// # }
/// ```
#[must_use]
pub fn layer<L: Layer<A>>(self, layer: L) -> OperatorBuilder<L::LayeredAccessor> {
OperatorBuilder {
accessor: layer.layer(self.accessor),
}
}
/// Finish the building to construct an Operator.
pub fn finish(self) -> Operator {
let ob = self.layer(TypeEraseLayer);
Operator {
accessor: Arc::new(ob.accessor),
}
}
}
/// BatchOperator is used to take batch operations like walk_dir and remove_all, should
/// be constructed by [`Operator::batch()`].
///
/// # TODO
///
/// We will support batch operators between two different operators like copy and move.
#[derive(Clone, Debug)]
pub struct BatchOperator {
src: Operator,
}
impl BatchOperator {
pub(crate) fn new(op: Operator) -> Self {
BatchOperator { src: op }
}
/// Walk a dir in the best way that suitable for underlying storage.
///
/// The returning order could be differ for different underlying storage.
/// And could be changed at any time. Users MUST NOT relay on the order.
pub fn walk(&self, path: &str) -> Result<ObjectLister> {
// # TODO
//
// After https://github.com/datafuselabs/opendal/issues/353, we can
// use prefix list for walk_bottom_up.
self.walk_top_down(path)
}
/// Walk a dir in top down way: list current dir first and then list nested dir.
///
/// Refer to [`TopDownWalker`] for more about the behavior details.
pub fn walk_top_down(&self, path: &str) -> Result<ObjectLister> {
Ok(ObjectLister::new(
self.src.clone(),
Box::new(TopDownWalker::new(self.src.inner(), path)),
))
}
/// Walk a dir in bottom up way: list nested dir first and then current dir.
///
/// Refer to [`BottomUpWalker`] for more about the behavior details.
pub fn walk_bottom_up(&self, path: &str) -> Result<ObjectLister> {
Ok(ObjectLister::new(
self.src.clone(),
Box::new(BottomUpWalker::new(self.src.inner(), path)),
))
}
/// Remove the path and all nested dirs and files recursively.
///
/// **Use this function in cautions to avoid unexpected data loss.**
pub async fn remove_all(&self, path: &str) -> Result<()> {
let parent = self.src.object(path);
let meta = parent.metadata().await?;
if meta.mode() != ObjectMode::DIR {
return parent.delete().await;
}
let obs = self.walk_bottom_up(path)?;
obs.try_for_each(|v| async move { v.delete().await }).await
}
}
/// Metadata for operator, users can use this metadata to get information of operator.
#[derive(Clone, Debug, Default)]
pub struct OperatorMetadata {
acc: AccessorMetadata,
}
impl OperatorMetadata {
/// [`Scheme`] of operator.
pub fn scheme(&self) -> Scheme {
self.acc.scheme()
}
/// Root of operator, will be in format like `/path/to/dir/`
pub fn root(&self) -> &str {
self.acc.root()
}
/// Name of backend, could be empty if underlying backend doesn't have namespace concept.
///
/// For example:
///
/// - name for `s3` => bucket name
/// - name for `azblob` => container name
pub fn name(&self) -> &str {
self.acc.name()
}
/// Check if current backend supports [`Accessor::read`] or not.
pub fn can_read(&self) -> bool {
self.acc.capabilities().contains(AccessorCapability::Read)
}
/// Check if current backend supports [`Accessor::write`] or not.
pub fn can_write(&self) -> bool {
self.acc.capabilities().contains(AccessorCapability::Write)
}
/// Check if current backend supports [`Accessor::list`] or not.
pub fn can_list(&self) -> bool {
self.acc.capabilities().contains(AccessorCapability::List)
}
/// Check if current backend supports [`Accessor::presign`] or not.
pub fn can_presign(&self) -> bool {
self.acc
.capabilities()
.contains(AccessorCapability::Presign)
}
/// Check if current backend supports multipart operations or not.
pub fn can_multipart(&self) -> bool {
self.acc
.capabilities()
.contains(AccessorCapability::Multipart)
}
/// Check if current backend supports blocking operations or not.
pub fn can_blocking(&self) -> bool {
self.acc
.capabilities()
.contains(AccessorCapability::Blocking)
}
}