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_email
properties. 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@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.. | ❌ |
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:
Size Measurement
,LMM
,VLM as Detector
,Absolute Static Crop
,Multi-Label Classification Model
,Distance Measurement
,Line Counter Visualization
,OCR Model
,Image Slicer
,Reference Path Visualization
,Triangle Visualization
,Path Deviation
,Line Counter
,Detections Transformation
,Multi-Label Classification Model
,Byte Tracker
,Google Vision OCR
,Llama 3.2 Vision
,Dynamic Zone
,Clip Comparison
,Perspective Correction
,Dot Visualization
,Detections Filter
,Email Notification
,Model Comparison Visualization
,Classification Label Visualization
,Dimension Collapse
,Instance Segmentation Model
,Slack Notification
,Stability AI Image Generation
,Cache Set
,Property Definition
,Time in Zone
,Line Counter
,Time in Zone
,Trace Visualization
,Local File Sink
,Blur Visualization
,CogVLM
,Stability AI Inpainting
,Cosine Similarity
,Circle Visualization
,OpenAI
,Moondream2
,Stitch Images
,Bounding Rectangle
,Byte Tracker
,SmolVLM2
,Grid Visualization
,Dominant Color
,Polygon Zone Visualization
,Keypoint Visualization
,Bounding Box Visualization
,OpenAI
,Halo Visualization
,Google Gemini
,Ellipse Visualization
,Single-Label Classification Model
,Pixel Color Count
,VLM as Detector
,Velocity
,Roboflow Dataset Upload
,Segment Anything 2 Model
,Single-Label Classification Model
,Cache Get
,VLM as Classifier
,Clip Comparison
,Delta Filter
,Mask Visualization
,VLM as Classifier
,Byte Tracker
,Detections Consensus
,Detection Offset
,Roboflow Custom Metadata
,Buffer
,First Non Empty Or Default
,Image Convert Grayscale
,Rate Limiter
,Relative Static Crop
,Detections Classes Replacement
,Gaze Detection
,Background Color Visualization
,Camera Focus
,Image Contours
,Keypoint Detection Model
,Instance Segmentation Model
,SIFT Comparison
,Object Detection Model
,Detections Stabilizer
,Depth Estimation
,Roboflow Dataset Upload
,Object Detection Model
,Crop Visualization
,Webhook Sink
,Identify Changes
,Camera Calibration
,Continue If
,Qwen2.5-VL
,Detections Merge
,Corner Visualization
,Image Threshold
,QR Code Detection
,Keypoint Detection Model
,SIFT
,Overlap Filter
,JSON Parser
,Expression
,Path Deviation
,Florence-2 Model
,Twilio SMS Notification
,Label Visualization
,Image Preprocessing
,Detections Stitch
,Template Matching
,LMM For Classification
,Stitch OCR Detections
,CLIP Embedding Model
,Image Blur
,Color Visualization
,Barcode Detection
,Pixelate Visualization
,SIFT Comparison
,Data Aggregator
,YOLO-World Model
,Polygon Visualization
,CSV Formatter
,Model Monitoring Inference Aggregator
,Image Slicer
,Environment Secrets Store
,Anthropic Claude
,Florence-2 Model
,Identify Outliers
,Dynamic Crop
- outputs:
Size Measurement
,Roboflow Custom Metadata
,LMM
,Multi-Label Classification Model
,Distance Measurement
,Line Counter Visualization
,Gaze Detection
,Background Color Visualization
,Keypoint Detection Model
,Reference Path Visualization
,Instance Segmentation Model
,SIFT Comparison
,Object Detection Model
,Triangle Visualization
,Path Deviation
,Line Counter
,Multi-Label Classification Model
,Llama 3.2 Vision
,Roboflow Dataset Upload
,Google Vision OCR
,Clip Comparison
,Perspective Correction
,Object Detection Model
,Crop Visualization
,Webhook Sink
,Dot Visualization
,Model Comparison Visualization
,Email Notification
,Classification Label Visualization
,Instance Segmentation Model
,Slack Notification
,Stability AI Image Generation
,Cache Set
,Time in Zone
,Time in Zone
,Trace Visualization
,Corner Visualization
,Line Counter
,Image Threshold
,Blur Visualization
,Local File Sink
,CogVLM
,Stability AI Inpainting
,Keypoint Detection Model
,Circle Visualization
,OpenAI
,Path Deviation
,Florence-2 Model
,Twilio SMS Notification
,Label Visualization
,Image Preprocessing
,Detections Stitch
,Template Matching
,Polygon Zone Visualization
,Keypoint Visualization
,LMM For Classification
,Bounding Box Visualization
,Image Blur
,OpenAI
,Halo Visualization
,CLIP Embedding Model
,Ellipse Visualization
,Color Visualization
,Google Gemini
,Pixelate Visualization
,Single-Label Classification Model
,Pixel Color Count
,YOLO-World Model
,Roboflow Dataset Upload
,Polygon Visualization
,Segment Anything 2 Model
,Single-Label Classification Model
,Cache Get
,Model Monitoring Inference Aggregator
,Mask Visualization
,Anthropic Claude
,Florence-2 Model
,Dynamic Crop
,Detections Consensus
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[bytes
,string
]): 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"
}