Expression¶
Class: ExpressionBlockV1
Source: inference.core.workflows.core_steps.formatters.expression.v1.ExpressionBlockV1
Create conditional logic and business rules in workflows using switch-case statements that evaluate conditions on input variables, optionally transform data with operations, and return different outputs based on which condition matches, enabling conditional execution, business logic implementation, rule-based decision making, and dynamic output generation workflows.
How This Block Works¶
This block implements conditional logic similar to switch-case or if-else-if statements in programming. The block:
- Receives input data as a dictionary of named variables from workflow steps
- Optionally applies data transformations using operations:
- Performs operations on data variables before condition evaluation
- Uses the same operation system as Property Definition block
- Transforms data (e.g., extract properties, filter, select) to prepare variables for conditions
- Stores transformed values as variables for use in conditions
- Evaluates switch-case statements sequentially:
- Tests each case condition in order until one matches
- Stops at the first matching case and returns its result
- If no case matches, returns the default result
- Evaluates conditions using a flexible expression system:
- Binary Statements: Compare two values using operators (==, !=, >, <, >=, <=, contains, startsWith, endsWith, in, any in, all in)
- Unary Statements: Test single values (Exists, DoesNotExist, is True, is False, is empty, is not empty)
- Statement Groups: Combine multiple statements with AND/OR operators for complex conditions
- Conditions can reference variables by name (DynamicOperand) or use literal values (StaticOperand)
- Returns results based on matched case:
Static Results: - Returns a fixed value defined in the case (e.g., "PASS", "FAIL", numeric values, strings)
Dynamic Results: - Returns a value from a variable (can reference any input variable) - Optionally applies operations to transform the variable before returning - Enables returning computed or extracted values as output
- Handles default case:
- If no case condition matches, returns the default result
- Default can be static or dynamic, just like case results
The block enables complex conditional logic by combining data transformation operations with flexible condition evaluation. Conditions can compare variables, test existence, check membership, perform string operations, and combine multiple conditions with logical operators. This makes it powerful for implementing business rules, validation logic, classification based on multiple criteria, and conditional data transformation.
Common Use Cases¶
- Business Logic Implementation: Implement conditional business rules and validation logic (e.g., validate detection matches reference, implement quality checks, enforce business rules), enabling business logic workflows
- Conditional Classification: Classify data based on multiple conditions and criteria (e.g., classify detections based on properties, categorize results by conditions, implement multi-criteria classification), enabling conditional classification workflows
- Validation and Quality Control: Validate data or predictions against reference values or thresholds (e.g., validate predictions match expected classes, check quality thresholds, verify compliance), enabling validation workflows
- Rule-Based Decision Making: Make decisions based on complex rule sets (e.g., approve/reject based on multiple criteria, route data based on conditions, make decisions using rule sets), enabling rule-based decision workflows
- Dynamic Output Generation: Generate different outputs based on input conditions (e.g., return different values based on conditions, generate conditional outputs, create dynamic results), enabling dynamic output workflows
- Multi-Condition Filtering: Implement complex filtering logic with multiple conditions (e.g., filter based on multiple criteria, apply complex conditional filters, implement multi-factor filtering), enabling conditional filtering workflows
Connecting to Other Blocks¶
This block receives data from workflow steps and produces conditional output:
- After model or analytics blocks to implement conditional logic on predictions or results (e.g., validate predictions, classify results, apply conditional rules), enabling conditional logic workflows
- After Property Definition blocks to use extracted properties in conditions (e.g., use extracted values in conditions, compare extracted properties, implement logic on extracted data), enabling property-to-condition workflows
- Before logic blocks like Continue If to provide conditional inputs (e.g., provide conditional values for filtering, supply conditional inputs for decisions), enabling expression-to-logic workflows
- Before data storage blocks to conditionally format or transform data for storage (e.g., conditionally format for storage, apply conditional transformations, prepare conditional outputs), enabling conditional storage workflows
- Before notification blocks to send conditional notifications (e.g., send conditional alerts, notify based on conditions, trigger conditional notifications), enabling conditional notification workflows
- In workflow outputs to provide conditional final outputs (e.g., conditional workflow outputs, dynamic result generation, conditional output formatting), enabling conditional output workflows
Requirements¶
This block requires input data as a dictionary where keys are variable names and values are data from workflow steps. The switch parameter defines cases with conditions and results. Conditions support binary comparisons (==, !=, >, <, >=, <=, contains, in, etc.), unary tests (Exists, is empty, etc.), and logical combinations (AND/OR). Data operations are optional and use the same operation system as Property Definition block. The block evaluates cases in order and returns the result of the first matching case, or the default result if no cases match. Results can be static values or dynamic values from variables (optionally with operations applied).
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/expression@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
data_operations |
Dict[str, List[Union[ClassificationPropertyExtract, ConvertDictionaryToJSON, ConvertImageToBase64, ConvertImageToJPEG, DetectionsFilter, DetectionsOffset, DetectionsPropertyExtract, DetectionsRename, DetectionsSelection, DetectionsShift, DetectionsToDictionary, Divide, ExtractDetectionProperty, ExtractFrameMetadata, ExtractImageProperty, LookupTable, Multiply, NumberRound, NumericSequenceAggregate, PickDetectionsByParentClass, RandomNumber, SequenceAggregate, SequenceApply, SequenceElementsCount, SequenceLength, SequenceMap, SortDetections, StringMatches, StringSubSequence, StringToLowerCase, StringToUpperCase, TimestampToISOFormat, ToBoolean, ToNumber, ToString]]] |
Optional dictionary of operations to transform data variables before condition evaluation. Keys are variable names from data, values are lists of operations (same as Property Definition block). Operations are applied to transform variables before they are used in conditions. Useful for extracting properties, filtering, or transforming data before evaluation. Empty dictionary (default) means no transformations are applied.. | ❌ |
switch |
CasesDefinition |
Switch-case logic definition containing cases with conditions and results. Each case has a condition (StatementGroup with binary/unary statements) and a result (static value or dynamic variable). Cases are evaluated in order - first matching case's result is returned. Default result is returned if no cases match. Supports complex conditions with AND/OR operators, comparison operators (==, !=, >, <, >=, <=), string operations (contains, startsWith, endsWith), membership tests (in, any in, all in), and existence tests (Exists, is empty).. | ❌ |
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 Expression in version v1.
- inputs:
Detections Stitch,Triangle Visualization,Detections Classes Replacement,Ellipse Visualization,Florence-2 Model,Blur Visualization,Anthropic Claude,Google Gemini,Motion Detection,Keypoint Visualization,Qwen3-VL,Pixelate Visualization,Size Measurement,SIFT Comparison,Line Counter,Image Slicer,Keypoint Detection Model,Dynamic Zone,Distance Measurement,Clip Comparison,SAM 3,Image Slicer,CSV Formatter,EasyOCR,Object Detection Model,Anthropic Claude,Detections Combine,Google Gemini,Perception Encoder Embedding Model,Pixel Color Count,Background Color Visualization,Property Definition,Image Convert Grayscale,Camera Calibration,Time in Zone,Image Preprocessing,Byte Tracker,VLM As Detector,PTZ Tracking (ONVIF).md),Detections Transformation,SIFT,Stability AI Outpainting,Single-Label Classification Model,Moondream2,Stitch OCR Detections,Data Aggregator,Detection Offset,OpenAI,Trace Visualization,YOLO-World Model,Icon Visualization,Qwen2.5-VL,Cache Set,Dot Visualization,Time in Zone,Delta Filter,Email Notification,Environment Secrets Store,Instance Segmentation Model,Path Deviation,Camera Focus,Contrast Equalization,Segment Anything 2 Model,Detections Filter,Text Display,Reference Path Visualization,Image Threshold,Perspective Correction,Image Contours,Multi-Label Classification Model,Detection Event Log,Local File Sink,Identify Changes,Byte Tracker,Google Vision OCR,Crop Visualization,Detections List Roll-Up,Barcode Detection,Google Gemini,Webhook Sink,Classification Label Visualization,VLM As Classifier,OpenAI,Seg Preview,Gaze Detection,Stability AI Image Generation,Roboflow Dataset Upload,Morphological Transformation,Cache Get,LMM,CLIP Embedding Model,Halo Visualization,Camera Focus,Llama 3.2 Vision,Model Comparison Visualization,VLM As Detector,Stitch OCR Detections,Roboflow Dataset Upload,Line Counter Visualization,SmolVLM2,Label Visualization,SIFT Comparison,QR Code Generator,Email Notification,Buffer,Detections Stabilizer,Slack Notification,Object Detection Model,Path Deviation,Corner Visualization,Florence-2 Model,SAM 3,QR Code Detection,OpenAI,Bounding Box Visualization,Keypoint Detection Model,Anthropic Claude,Background Subtraction,Polygon Visualization,Image Blur,VLM As Classifier,Relative Static Crop,Clip Comparison,Detections Merge,Heatmap Visualization,CogVLM,Mask Visualization,Twilio SMS Notification,Instance Segmentation Model,OpenAI,OCR Model,Stitch Images,Continue If,Dynamic Crop,Model Monitoring Inference Aggregator,Circle Visualization,Byte Tracker,First Non Empty Or Default,Color Visualization,Dimension Collapse,Cosine Similarity,Velocity,Expression,Twilio SMS/MMS Notification,Depth Estimation,LMM For Classification,Roboflow Custom Metadata,Bounding Rectangle,Grid Visualization,Dominant Color,Polygon Zone Visualization,Polygon Visualization,Halo Visualization,JSON Parser,SAM 3,Stability AI Inpainting,Time in Zone,Identify Outliers,Detections Consensus,Template Matching,Overlap Filter,Absolute Static Crop,Multi-Label Classification Model,Line Counter,Single-Label Classification Model,Rate Limiter - outputs:
Triangle Visualization,Detections Stitch,Ellipse Visualization,Detections Classes Replacement,Florence-2 Model,Blur Visualization,Anthropic Claude,Google Gemini,Motion Detection,Keypoint Visualization,Qwen3-VL,Pixelate Visualization,Size Measurement,SIFT Comparison,Line Counter,Image Slicer,Keypoint Detection Model,Dynamic Zone,Distance Measurement,Clip Comparison,SAM 3,Image Slicer,EasyOCR,CSV Formatter,Object Detection Model,Anthropic Claude,Detections Combine,Google Gemini,Perception Encoder Embedding Model,Pixel Color Count,Background Color Visualization,Property Definition,Image Convert Grayscale,Camera Calibration,Time in Zone,Image Preprocessing,Byte Tracker,VLM As Detector,PTZ Tracking (ONVIF).md),Detections Transformation,SIFT,Single-Label Classification Model,Stability AI Outpainting,Moondream2,Stitch OCR Detections,Data Aggregator,Detection Offset,Trace Visualization,OpenAI,Qwen2.5-VL,Icon Visualization,YOLO-World Model,Dot Visualization,Cache Set,Time in Zone,Delta Filter,Email Notification,Instance Segmentation Model,Path Deviation,Camera Focus,Contrast Equalization,Segment Anything 2 Model,Text Display,Detections Filter,Reference Path Visualization,Image Threshold,Perspective Correction,Multi-Label Classification Model,Image Contours,Detection Event Log,Local File Sink,Identify Changes,Byte Tracker,Google Vision OCR,Crop Visualization,Detections List Roll-Up,Google Gemini,Barcode Detection,Webhook Sink,Classification Label Visualization,VLM As Classifier,Seg Preview,OpenAI,Gaze Detection,Stability AI Image Generation,Roboflow Dataset Upload,Morphological Transformation,Cache Get,LMM,CLIP Embedding Model,Halo Visualization,Camera Focus,Llama 3.2 Vision,Model Comparison Visualization,VLM As Detector,Stitch OCR Detections,Roboflow Dataset Upload,Line Counter Visualization,SmolVLM2,SIFT Comparison,Label Visualization,QR Code Generator,Email Notification,Buffer,Slack Notification,Detections Stabilizer,Object Detection Model,Path Deviation,Florence-2 Model,Corner Visualization,SAM 3,QR Code Detection,OpenAI,Bounding Box Visualization,Keypoint Detection Model,Anthropic Claude,Background Subtraction,Polygon Visualization,Image Blur,VLM As Classifier,Relative Static Crop,Clip Comparison,Detections Merge,Heatmap Visualization,CogVLM,Mask Visualization,Twilio SMS Notification,Instance Segmentation Model,OpenAI,OCR Model,Stitch Images,Continue If,Dynamic Crop,Model Monitoring Inference Aggregator,Circle Visualization,Byte Tracker,First Non Empty Or Default,Color Visualization,Dimension Collapse,Cosine Similarity,Velocity,Expression,Twilio SMS/MMS Notification,Depth Estimation,Roboflow Custom Metadata,LMM For Classification,Bounding Rectangle,Grid Visualization,Dominant Color,Polygon Zone Visualization,Polygon Visualization,Halo Visualization,JSON Parser,SAM 3,Time in Zone,Stability AI Inpainting,Identify Outliers,Detections Consensus,Template Matching,Overlap Filter,Absolute Static Crop,Multi-Label Classification Model,Single-Label Classification Model,Line Counter,Rate Limiter
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Expression in version v1 has.
Bindings
-
input
data(*): Dictionary of named variables containing data from workflow steps. Variable names are used in conditions and results. Keys are variable names, values are selectors referencing workflow step outputs. Variables can be referenced in conditions and dynamic results. Example: {'predictions': '$steps.model.predictions', 'reference': '$inputs.reference_class_names'} creates variables 'predictions' and 'reference'..
-
output
output(*): Equivalent of any element.
Example JSON definition of step Expression in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/expression@v1",
"data": {
"predictions": "$steps.model.predictions",
"reference": "$inputs.reference_class_names"
},
"data_operations": {
"predictions": [
{
"property_name": "class_name",
"type": "DetectionsPropertyExtract"
}
]
},
"switch": {
"cases": [
{
"condition": {
"statements": [
{
"comparator": {
"type": "=="
},
"left_operand": {
"operand_name": "class_name",
"type": "DynamicOperand"
},
"right_operand": {
"operand_name": "reference",
"type": "DynamicOperand"
},
"type": "BinaryStatement"
}
],
"type": "StatementGroup"
},
"result": {
"type": "StaticCaseResult",
"value": "PASS"
},
"type": "CaseDefinition"
}
],
"default": {
"type": "StaticCaseResult",
"value": "FAIL"
},
"type": "CasesDefinition"
}
}