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