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