Local File Sink¶
Class: LocalFileSinkBlockV1
Source: inference.core.workflows.core_steps.sinks.local_file.v1.LocalFileSinkBlockV1
The Local File Sink block saves workflow data as files on a local file system. It allows users to configure how the data is stored, either:
-
aggregating multiple entries into a single file
-
or saving each entry as a separate file.
This block is useful for logging, data export, or preparing files for subsequent processing.
File Content, File Type and Output Mode¶
content
is expected to be the output from another block producing string values of specific types
denoted by file_type
.
output_mode
set into append_log
will make the block appending single file with consecutive entries
passed to content
input up to max_entries_per_file
. In this mode it is important that
file_type
in append_log
mode
Contrary to separate_files
output mode, append_log
mode may introduce subtle changes into
the structure of the content
to properly append it into existing file, hence setting proper
file_type
is crucial:
-
file_type=json
: inappend_log
mode, the block will create*.jsonl
file in JSON Lines format - for that to be possible, each JSON document will be parsed and dumped to ensure that it will fit into single line. -
file_type=csv
: inappend_log
mode, the block will deduct the first line from the content (making it required for CSV content to always be shipped with header row) of consecutive updates into the content of already created file.
Security considerations
The block has an ability to write to the file system. If you find this unintended in your system,
you can disable the block setting environmental variable ALLOW_WORKFLOW_BLOCKS_ACCESSING_LOCAL_STORAGE=False
in the environment which host Workflows Execution Engine.
If you want to restrict the directory which may be used to write data - set
environmental variable WORKFLOW_BLOCKS_WRITE_DIRECTORY
to the absolute path of directory which you
allow to be used.
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/local_file_sink@v1
to add the block as
as step in your workflow.
Properties¶
Name | Type | Description | Refs |
---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
file_type |
str |
Type of the file. | ❌ |
output_mode |
str |
Decides how to organise the content of the file. | ❌ |
target_directory |
str |
Target directory. | ✅ |
file_name_prefix |
str |
File name prefix. | ✅ |
max_entries_per_file |
int |
Defines how many datapoints can be appended to a single file. | ✅ |
The Refs column marks possibility to parametrise the property with dynamic values available
in workflow
runtime. See Bindings for more info.
Available Connections¶
Compatible Blocks
Check what blocks you can connect to Local File Sink
in version v1
.
- inputs:
CogVLM
,VLM as Detector
,Slack Notification
,Local File Sink
,Instance Segmentation Model
,Roboflow Custom Metadata
,OpenAI
,Twilio SMS Notification
,OCR Model
,Multi-Label Classification Model
,Google Vision OCR
,Clip Comparison
,Stitch OCR Detections
,OpenAI
,Single-Label Classification Model
,Webhook Sink
,Google Gemini
,Roboflow Dataset Upload
,Florence-2 Model
,Email Notification
,Object Detection Model
,LMM
,LMM For Classification
,Roboflow Dataset Upload
,CSV Formatter
,Florence-2 Model
,Model Monitoring Inference Aggregator
,Keypoint Detection Model
,Llama 3.2 Vision
,Anthropic Claude
,VLM as Classifier
- outputs:
Line Counter
,Single-Label Classification Model
,Polygon Zone Visualization
,Slack Notification
,Time in Zone
,Local File Sink
,YOLO-World Model
,Instance Segmentation Model
,Trace Visualization
,Roboflow Custom Metadata
,Perspective Correction
,OpenAI
,Distance Measurement
,Circle Visualization
,Clip Comparison
,OpenAI
,Triangle Visualization
,Halo Visualization
,Gaze Detection
,Line Counter
,Size Measurement
,Corner Visualization
,Email Notification
,Object Detection Model
,Template Matching
,LMM
,Detections Consensus
,Roboflow Dataset Upload
,Dynamic Crop
,Cache Set
,Model Monitoring Inference Aggregator
,Cache Get
,Segment Anything 2 Model
,Object Detection Model
,Llama 3.2 Vision
,Model Comparison Visualization
,Anthropic Claude
,Keypoint Detection Model
,Crop Visualization
,Blur Visualization
,CLIP Embedding Model
,CogVLM
,Image Threshold
,Stability AI Inpainting
,Image Preprocessing
,Keypoint Visualization
,Background Color Visualization
,Path Deviation
,Pixel Color Count
,Color Visualization
,Twilio SMS Notification
,Multi-Label Classification Model
,Classification Label Visualization
,Google Vision OCR
,Pixelate Visualization
,Label Visualization
,Time in Zone
,Reference Path Visualization
,Webhook Sink
,Single-Label Classification Model
,Google Gemini
,Roboflow Dataset Upload
,Line Counter Visualization
,Multi-Label Classification Model
,Image Blur
,Florence-2 Model
,SIFT Comparison
,LMM For Classification
,Instance Segmentation Model
,Polygon Visualization
,Florence-2 Model
,Ellipse Visualization
,Mask Visualization
,Keypoint Detection Model
,Detections Stitch
,Bounding Box Visualization
,Dot Visualization
,Stability AI Image Generation
,Path Deviation
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Local File Sink
in version v1
has.
Bindings
-
input
-
output
Example JSON definition of step Local File Sink
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/local_file_sink@v1",
"content": "$steps.csv_formatter.csv_content",
"file_type": "csv",
"output_mode": "append_log",
"target_directory": "some/location",
"file_name_prefix": "my_file",
"max_entries_per_file": 1024
}