Docs: Add sftp option for filesystem source

docs/website/docs/dlt-ecosystem/destinations/filesystem.md

@@ -302,7 +302,10 @@ sftp_gss_deleg_creds  # Delegate credentials with GSS-API, defaults to True
 sftp_gss_host         # Host for GSS-API, defaults to None
 sftp_gss_trust_dns    # Trust DNS for GSS-API, defaults to True
 ```
-> For more information about credentials parameters: https://docs.paramiko.org/en/3.3/api/client.html#paramiko.client.SSHClient.connect
+
+:::info
+For more information about credentials parameters: https://docs.paramiko.org/en/3.3/api/client.html#paramiko.client.SSHClient.connect
+:::
 
 ### Authentication methods
 

docs/website/docs/dlt-ecosystem/verified-sources/filesystem/basic.md

@@ -6,7 +6,7 @@ keywords: [readers source and filesystem, files, filesystem, readers source, clo
 import Header from '../_source-info-header.md';
 <Header/>
 
-Filesystem source allows loading files from remote locations (AWS S3, Google Cloud Storage, Google Drive, Azure) or the local filesystem seamlessly. Filesystem source natively supports `csv`, `parquet`, and `jsonl` files and allows customization for loading any type of structured files.
+Filesystem source allows loading files from remote locations (AWS S3, Google Cloud Storage, Google Drive, Azure Blob Storage, SFTP server) or the local filesystem seamlessly. Filesystem source natively supports `csv`, `parquet`, and `jsonl` files and allows customization for loading any type of structured files.
 
 To load unstructured data (`.pdf`, `.txt`, e-mail), please refer to the [unstructured data source](https://github.com/dlt-hub/verified-sources/tree/master/sources/unstructured_data).
 
@@ -75,6 +75,7 @@ To get started with your data pipeline, follow these steps:
     {"label": "AWS S3", "value": "aws"},
     {"label": "GCS/GDrive", "value": "gcp"},
     {"label": "Azure", "value": "azure"},
+    {"label": "SFTP", "value": "sftp"},
     {"label": "Local filesystem", "value": "local"},
 ]}>
 
@@ -122,6 +123,18 @@ For more info, see
 
 </TabItem>
 
+<TabItem value="sftp">
+
+dlt supports several authentication methods:
+
+1. Key-based authentication
+2. SSH Agent-based authentication
+3. Username/Password authentication
+4. GSS-API authentication
+
+Learn more about SFTP authentication options in [SFTP section](../../destinations/filesystem#sftp). To obtain credentials, contact your server administrator.
+</TabItem>
+
 <TabItem value="local">
 You don't need any credentials for the local filesystem.
 </TabItem>
@@ -143,6 +156,7 @@ a bucket, can be specified in `config.toml`.
     {"label": "AWS S3", "value": "aws"},
     {"label": "GCS/GDrive", "value": "gcp"},
     {"label": "Azure", "value": "azure"},
+    {"label": "SFTP", "value": "sftp"},
     {"label": "Local filesystem", "value": "local"},
 ]}>
 
@@ -195,6 +209,24 @@ bucket_url="gs://<bucket_name>/<path_to_files>/"
 ```
 </TabItem>
 
+<TabItem value="sftp">
+
+Learn how to set up SFTP credentials for each authentication method in the [SFTP section](../../destinations/filesystem#sftp).
+For example, in case of key-based authentication, you can configure the source the following way:
+
+```toml
+# secrets.toml
+[sources.filesystem.credentials]
+sftp_username = "foo"
+sftp_key_filename = "/path/to/id_rsa"     # Replace with the path to your private key file
+sftp_key_passphrase = "your_passphrase"   # Optional: passphrase for your private key
+
+# config.toml
+[sources.filesystem] # use [sources.readers.credentials] for the "readers" source
+bucket_url = "sftp://[hostname]/[path]"
+```
+</TabItem>
+
 <TabItem value="local">
 
 You can use both native local filesystem paths and `file://` URI. Absolute, relative, and UNC Windows paths are supported.
@@ -219,7 +251,7 @@ bucket_url='~\Documents\csv_files\'
 </Tabs>
 
 You can also specify the credentials using Environment variables. The name of the corresponding environment
-variable should be slightly different than the corresponding name in the `toml` file. Simply replace dots `.` with double
+variable should be slightly different from the corresponding name in the `toml` file. Simply replace dots `.` with double
 underscores `__`:
 
 ```sh

docs/website/docs/dlt-ecosystem/verified-sources/filesystem/index.md

@@ -1,14 +1,15 @@
 ---
-title: Filesystem & Buckets
-description: dlt-verified source for Filesystem & Buckets
+title: Filesystem & cloud storage
+description: dlt-verified source for Filesystem & cloud storage
 keywords: [readers source and filesystem, files, filesystem, readers source, cloud storage]
 ---
 
 The Filesystem source allows seamless loading of files from the following locations:
 * AWS S3
 * Google Cloud Storage
 * Google Drive
-* Azure
+* Azure Blob Storage
+* remote filesystem (via SFTP)
 * local filesystem
 
 The Filesystem source natively supports `csv`, `parquet`, and `jsonl` files and allows customization for loading any type of structured files.

docs/website/docs/tutorial/filesystem.md

@@ -4,7 +4,7 @@ description: Learn how to load data files like JSON, JSONL, CSV, and Parquet fro
 keywords: [dlt, tutorial, filesystem, cloud storage, file system, python, data pipeline, incremental loading, json, jsonl, csv, parquet, duckdb]
 ---
 
-This tutorial is for you if you need to load data files like JSONL, CSV, and Parquet from either Cloud Storage (e.g., AWS S3, Google Cloud Storage, Google Drive, Azure Blob Storage) or a local file system.
+This tutorial is for you if you need to load data files like JSONL, CSV, and Parquet from either Cloud Storage (e.g., AWS S3, Google Cloud Storage, Google Drive, Azure Blob Storage), a remote (SFTP), or a local file system.
 
 ## What you will learn
 

docs/website/sidebars.js

@@ -67,7 +67,7 @@ const sidebars = {
         {
           type: 'category',
           label: 'Filesystem & cloud storage',
-          description: 'AWS S3, Google Cloud Storage, Azure Blob Storage, local file system',
+          description: 'AWS S3, Google Cloud Storage, Azure, SFTP, local file system',
             link: {
             type: 'doc',
             id: 'dlt-ecosystem/verified-sources/filesystem/index',