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