Email Notification¶
Class: EmailNotificationBlockV1
Source: inference.core.workflows.core_steps.sinks.email_notification.v1.EmailNotificationBlockV1
The Email Notification block allows users to send email notifications as part of a workflow. It requires SMTP server setup to send the notification
Customizable Email Content¶
-
Subject: Set the subject field to define the subject line of the email.
-
Message: Use the message field to write the body content of the email. Message can be parametrised with data generated during workflow run. See Dynamic Parameters section.
-
Recipients (To, CC, BCC): Define who will receive the email using
receiver_email,cc_receiver_email, andbcc_receiver_emailproperties. You can input a single email or a list.
Dynamic Parameters¶
Content of the message can be parametrised with Workflow execution outcomes. Take a look at the example message using dynamic parameters:
message = "This is example notification. Predicted classes: {{ $parameters.predicted_classes }}"
Message parameters are delivered by Workflows Execution Engine by setting proper data selectors in
message_parameters field, for example:
message_parameters = {
"predicted_classes": "$steps.model.predictions"
}
Selecting data is not the only option - data may be processed in the block. In the example below we wish to
extract names of predicted classes. We can apply transformation for each parameter by setting
message_parameters_operations:
message_parameters_operations = {
"predictions": [
{"type": "DetectionsPropertyExtract", "property_name": "class_name"}
]
}
As a result, in the e-mail that will be sent, you can expect:
This is example notification. Predicted classes: ["class_a", "class_b"].
Configuring SMTP server¶
Those are the parameters configuring SMTP server:
-
smtp_server- hostname of the SMTP server to use -
sender_email- e-mail account to be used as sender -
sender_email_password- password for sender e-mail account -
smtp_port- port of SMTP service - defaults to465
Block enforces SSL over SMTP.
Typical scenario for using custom SMTP server involves sending e-mail through Google SMTP server. Take a look at Google tutorial to configure the block properly.
GMAIL password will not work if 2-step verification is turned on
GMAIL users choosing custom SMTP server as e-mail service provider must configure application password to avoid problems with 2-step verification protected account. Beware that application password must be kept protected - we recommend sending the password in Workflow input and providing it each time by the caller, avoiding storing it in Workflow definition.
Cooldown¶
The block accepts cooldown_seconds (which defaults to 5 seconds) to prevent unintended bursts of
notifications. Please adjust it according to your needs, setting 0 indicate no cooldown.
During cooldown period, consecutive runs of the step will cause throttling_status output to be set True
and no notification will be sent.
Cooldown limitations
Current implementation of cooldown is limited to video processing - using this block in context of a
Workflow that is run behind HTTP service (Roboflow Hosted API, Dedicated Deployment or self-hosted
inference server) will have no effect for processing HTTP requests.
Attachments¶
You may specify attachment files to be send with your e-mail. Attachments can only be generated in runtime by dedicated blocks (for instance CSV Formatter)
To include attachments, simply provide the attachment name and refer to other block outputs:
attachments = {
"report.pdf": "$steps.report_generator.output"
}
Async execution¶
Configure the fire_and_forget property. Set it to True if you want the email to be sent in the background, allowing the
Workflow to proceed without waiting on e-mail to be sent. In this case you will not be able to rely on
error_status output which will always be set to False, so we recommend setting the fire_and_forget=False for
debugging purposes.
Disabling notifications based on runtime parameter¶
Sometimes it would be convenient to manually disable the e-mail notifier block. This is possible
setting disable_sink flag to hold reference to Workflow input. with such setup, caller would be
able to disable the sink when needed sending agreed input parameter.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/email_notification@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
subject |
str |
Subject of the message.. | ❌ |
sender_email |
str |
E-mail to be used to send the message.. | ✅ |
receiver_email |
Union[List[str], str] |
Destination e-mail address.. | ✅ |
message |
str |
Content of the message to be send.. | ❌ |
message_parameters |
Dict[str, Union[bool, float, int, str]] |
Data to be used inside the message.. | ✅ |
message_parameters_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]]] |
Preprocessing operations to be performed on message parameters.. | ❌ |
cc_receiver_email |
Optional[List[str], str] |
Destination e-mail address.. | ✅ |
bcc_receiver_email |
Optional[List[str], str] |
Destination e-mail address.. | ✅ |
smtp_server |
str |
Custom SMTP server to be used.. | ✅ |
sender_email_password |
str |
Sender e-mail password be used when authenticating to SMTP server.. | ✅ |
smtp_port |
int |
SMTP server port.. | ❌ |
fire_and_forget |
bool |
Boolean flag to run the block asynchronously (True) for faster workflows or synchronously (False) for debugging and error handling.. | ✅ |
disable_sink |
bool |
Boolean flag to disable block execution.. | ✅ |
cooldown_seconds |
int |
Number of seconds until a follow-up notification can be sent. . | ✅ |
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 Email Notification in version v1.
- inputs:
PTZ Tracking (ONVIF).md),Local File Sink,Barcode Detection,Stability AI Inpainting,Delta Filter,VLM as Classifier,Distance Measurement,Perception Encoder Embedding Model,QR Code Generator,Path Deviation,Time in Zone,Environment Secrets Store,Size Measurement,Continue If,Identify Outliers,Detections Combine,Polygon Zone Visualization,EasyOCR,Contrast Equalization,Object Detection Model,Florence-2 Model,Gaze Detection,Detections Consensus,Roboflow Dataset Upload,Clip Comparison,Detections Filter,Detection Offset,Absolute Static Crop,Pixelate Visualization,Relative Static Crop,Perspective Correction,Line Counter,VLM as Detector,Single-Label Classification Model,LMM For Classification,Detections Stitch,LMM,Multi-Label Classification Model,SmolVLM2,Model Monitoring Inference Aggregator,Image Convert Grayscale,CogVLM,Model Comparison Visualization,Template Matching,Twilio SMS Notification,First Non Empty Or Default,Byte Tracker,Single-Label Classification Model,Polygon Visualization,Keypoint Detection Model,Byte Tracker,Instance Segmentation Model,VLM as Detector,Label Visualization,OpenAI,Circle Visualization,Keypoint Visualization,Trace Visualization,Camera Calibration,Instance Segmentation Model,Expression,Stability AI Image Generation,Dot Visualization,Reference Path Visualization,Bounding Rectangle,CLIP Embedding Model,VLM as Classifier,Object Detection Model,Stability AI Outpainting,Detections Merge,Multi-Label Classification Model,Cache Set,Line Counter Visualization,Detections Classes Replacement,Ellipse Visualization,Roboflow Custom Metadata,Dimension Collapse,Background Color Visualization,CSV Formatter,Roboflow Dataset Upload,Dynamic Zone,Image Slicer,Qwen2.5-VL,Google Gemini,Byte Tracker,Google Vision OCR,Image Threshold,SIFT Comparison,Identify Changes,Image Preprocessing,Icon Visualization,OCR Model,YOLO-World Model,Seg Preview,Buffer,Image Blur,Florence-2 Model,Pixel Color Count,Llama 3.2 Vision,Line Counter,Time in Zone,Clip Comparison,SIFT,Halo Visualization,Cache Get,Anthropic Claude,Triangle Visualization,Cosine Similarity,Keypoint Detection Model,Depth Estimation,Image Contours,Mask Visualization,Image Slicer,Stitch OCR Detections,Time in Zone,QR Code Detection,Moondream2,Corner Visualization,Crop Visualization,Stitch Images,Blur Visualization,Dynamic Crop,Detections Stabilizer,Overlap Filter,Detections Transformation,OpenAI,Email Notification,Camera Focus,Segment Anything 2 Model,Color Visualization,Velocity,Data Aggregator,Classification Label Visualization,Property Definition,SIFT Comparison,Morphological Transformation,OpenAI,JSON Parser,Bounding Box Visualization,Dominant Color,Grid Visualization,Path Deviation,Slack Notification,Webhook Sink,Rate Limiter - outputs:
PTZ Tracking (ONVIF).md),Local File Sink,Dot Visualization,Stability AI Inpainting,Reference Path Visualization,CLIP Embedding Model,Object Detection Model,Stability AI Outpainting,Distance Measurement,Perception Encoder Embedding Model,Multi-Label Classification Model,QR Code Generator,Path Deviation,Time in Zone,Cache Set,Line Counter Visualization,Detections Classes Replacement,Size Measurement,Ellipse Visualization,Roboflow Custom Metadata,Polygon Zone Visualization,Background Color Visualization,Roboflow Dataset Upload,Contrast Equalization,Object Detection Model,Dynamic Zone,Google Gemini,Florence-2 Model,Gaze Detection,Google Vision OCR,SIFT Comparison,Detections Consensus,Image Threshold,Image Preprocessing,Icon Visualization,YOLO-World Model,Roboflow Dataset Upload,Pixelate Visualization,Image Blur,Perspective Correction,Line Counter,Florence-2 Model,Pixel Color Count,Single-Label Classification Model,LMM For Classification,Llama 3.2 Vision,Detections Stitch,Line Counter,Time in Zone,LMM,Clip Comparison,Multi-Label Classification Model,Halo Visualization,Model Monitoring Inference Aggregator,Cache Get,Anthropic Claude,Triangle Visualization,Keypoint Detection Model,Mask Visualization,CogVLM,Model Comparison Visualization,Template Matching,Twilio SMS Notification,Time in Zone,Stitch OCR Detections,Single-Label Classification Model,Moondream2,Polygon Visualization,Corner Visualization,Crop Visualization,Blur Visualization,Keypoint Detection Model,Dynamic Crop,Instance Segmentation Model,OpenAI,Segment Anything 2 Model,Email Notification,Color Visualization,Classification Label Visualization,Label Visualization,OpenAI,Keypoint Visualization,Circle Visualization,Trace Visualization,Instance Segmentation Model,Morphological Transformation,OpenAI,Bounding Box Visualization,Path Deviation,Slack Notification,Webhook Sink,Stability AI Image Generation
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Email Notification in version v1 has.
Bindings
-
input
sender_email(string): E-mail to be used to send the message..receiver_email(Union[string,list_of_values]): Destination e-mail address..message_parameters(*): Data to be used inside the message..cc_receiver_email(Union[string,list_of_values]): Destination e-mail address..bcc_receiver_email(Union[string,list_of_values]): Destination e-mail address..attachments(Union[string,bytes]): Attachments.smtp_server(string): Custom SMTP server to be used..sender_email_password(Union[string,secret]): Sender e-mail password be used when authenticating to SMTP server..fire_and_forget(boolean): Boolean flag to run the block asynchronously (True) for faster workflows or synchronously (False) for debugging and error handling..disable_sink(boolean): Boolean flag to disable block execution..cooldown_seconds(integer): Number of seconds until a follow-up notification can be sent. .
-
output
Example JSON definition of step Email Notification in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/email_notification@v1",
"subject": "Workflow alert",
"sender_email": "sender@gmail.com",
"receiver_email": "receiver@gmail.com",
"message": "During last 5 minutes detected {{ $parameters.num_instances }} instances",
"message_parameters": {
"predictions": "$steps.model.predictions",
"reference": "$inputs.reference_class_names"
},
"message_parameters_operations": {
"predictions": [
{
"property_name": "class_name",
"type": "DetectionsPropertyExtract"
}
]
},
"cc_receiver_email": "cc-receiver@gmail.com",
"bcc_receiver_email": "bcc-receiver@gmail.com",
"attachments": {
"report.cvs": "$steps.csv_formatter.csv_content"
},
"smtp_server": "$inputs.smtp_server",
"sender_email_password": "$inputs.email_password",
"smtp_port": 465,
"fire_and_forget": "$inputs.fire_and_forget",
"disable_sink": false,
"cooldown_seconds": "$inputs.cooldown_seconds"
}