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:
Absolute Static Crop,Relative Static Crop,Expression,LMM For Classification,VLM as Classifier,Seg Preview,Instance Segmentation Model,Color Visualization,Trace Visualization,Polygon Zone Visualization,Camera Focus,Halo Visualization,Identify Changes,VLM as Classifier,Camera Calibration,Triangle Visualization,Single-Label Classification Model,Image Threshold,Detections Classes Replacement,Gaze Detection,Single-Label Classification Model,Detection Offset,Morphological Transformation,Roboflow Custom Metadata,Grid Visualization,Image Preprocessing,Cache Set,Line Counter Visualization,SIFT Comparison,Stitch OCR Detections,Path Deviation,PTZ Tracking (ONVIF).md),Model Comparison Visualization,Multi-Label Classification Model,Multi-Label Classification Model,Roboflow Dataset Upload,Template Matching,Line Counter,Path Deviation,Polygon Visualization,Detections Stabilizer,Llama 3.2 Vision,Icon Visualization,Bounding Rectangle,Local File Sink,VLM as Detector,Twilio SMS Notification,SIFT,Cosine Similarity,Classification Label Visualization,Background Color Visualization,Webhook Sink,Dynamic Crop,Dominant Color,Pixelate Visualization,Detections Consensus,QR Code Detection,Email Notification,Buffer,Image Slicer,Crop Visualization,Keypoint Detection Model,Mask Visualization,Detections Merge,Barcode Detection,Environment Secrets Store,Detections Transformation,Depth Estimation,Rate Limiter,Perspective Correction,Keypoint Detection Model,EasyOCR,Distance Measurement,Circle Visualization,Stability AI Outpainting,Byte Tracker,Size Measurement,VLM as Detector,JSON Parser,Byte Tracker,Keypoint Visualization,Object Detection Model,Clip Comparison,SmolVLM2,Google Vision OCR,Slack Notification,Dimension Collapse,CSV Formatter,OCR Model,Dynamic Zone,Segment Anything 2 Model,Stability AI Inpainting,Reference Path Visualization,Corner Visualization,Ellipse Visualization,OpenAI,Time in Zone,CogVLM,OpenAI,YOLO-World Model,Continue If,Florence-2 Model,Roboflow Dataset Upload,Data Aggregator,Label Visualization,OpenAI,Line Counter,First Non Empty Or Default,Model Monitoring Inference Aggregator,Time in Zone,Velocity,Instance Segmentation Model,Time in Zone,Blur Visualization,Delta Filter,Image Contours,Clip Comparison,Identify Outliers,Object Detection Model,Overlap Filter,Moondream2,Property Definition,Bounding Box Visualization,Dot Visualization,Byte Tracker,CLIP Embedding Model,Detections Combine,Stitch Images,Detections Filter,Qwen2.5-VL,Perception Encoder Embedding Model,SIFT Comparison,Pixel Color Count,QR Code Generator,Google Gemini,Image Slicer,Image Convert Grayscale,Stability AI Image Generation,Contrast Equalization,Anthropic Claude,Cache Get,Image Blur,LMM,Detections Stitch,Florence-2 Model - outputs:
Size Measurement,Keypoint Visualization,Object Detection Model,LMM For Classification,Google Vision OCR,Slack Notification,Trace Visualization,Color Visualization,Instance Segmentation Model,Polygon Zone Visualization,Halo Visualization,Dynamic Zone,Triangle Visualization,Single-Label Classification Model,Segment Anything 2 Model,Stability AI Inpainting,Reference Path Visualization,Image Threshold,Corner Visualization,Detections Classes Replacement,Ellipse Visualization,Gaze Detection,OpenAI,Single-Label Classification Model,Time in Zone,Morphological Transformation,Roboflow Custom Metadata,Image Preprocessing,Cache Set,CogVLM,Line Counter Visualization,OpenAI,YOLO-World Model,Florence-2 Model,Roboflow Dataset Upload,Stitch OCR Detections,Path Deviation,Label Visualization,PTZ Tracking (ONVIF).md),Model Comparison Visualization,Multi-Label Classification Model,Multi-Label Classification Model,Roboflow Dataset Upload,Template Matching,OpenAI,Line Counter,Line Counter,Model Monitoring Inference Aggregator,Polygon Visualization,Time in Zone,Instance Segmentation Model,Path Deviation,Llama 3.2 Vision,Icon Visualization,Local File Sink,Time in Zone,Blur Visualization,Clip Comparison,Object Detection Model,Twilio SMS Notification,Bounding Box Visualization,Moondream2,Classification Label Visualization,Background Color Visualization,Webhook Sink,Dynamic Crop,Dot Visualization,Pixelate Visualization,Detections Consensus,Email Notification,CLIP Embedding Model,Crop Visualization,Keypoint Detection Model,Perception Encoder Embedding Model,SIFT Comparison,Mask Visualization,Pixel Color Count,QR Code Generator,Google Gemini,Perspective Correction,Keypoint Detection Model,Stability AI Image Generation,Distance Measurement,Contrast Equalization,Anthropic Claude,Image Blur,Cache Get,Circle Visualization,Stability AI Outpainting,LMM,Detections Stitch,Florence-2 Model
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[list_of_values,string]): Destination e-mail address..message_parameters(*): Data to be used inside the message..cc_receiver_email(Union[list_of_values,string]): Destination e-mail address..bcc_receiver_email(Union[list_of_values,string]): Destination e-mail address..attachments(Union[string,bytes]): Attachments.smtp_server(string): Custom SMTP server to be used..sender_email_password(Union[secret,string]): 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"
}