Email Notification

v2

Class: EmailNotificationBlockV2 (there are multiple versions of this block)

Source: inference.core.workflows.core_steps.sinks.email_notification.v2.EmailNotificationBlockV2

Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning

The Email Notification block allows users to send email notifications as part of a workflow.

Email Provider Options

This block supports two email delivery methods via a dropdown selector:

1. Roboflow Managed API Key (Default) - No SMTP configuration needed. Emails are sent through Roboflow's proxy service:
2. Simplified setup - just provide subject, message, and recipient
3. Secure - your workflow API key is used for authentication

4. No SMTP server required

5. Custom SMTP - Use your own SMTP server:

6. Full control over email delivery
7. Requires SMTP server configuration (host, port, credentials)
8. Supports CC and BCC recipients

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, and bcc_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"].

Using Custom SMTP Server

To use your own SMTP server, select "Custom SMTP" from the email_provider dropdown and configure the following parameters:

• 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 to 465

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 sent with your e-mail. Attachments can be generated in runtime by dedicated blocks or from image outputs.

Supported attachment types: - CSV/Text files: From blocks like CSV Formatter - Images: Any image output from visualization blocks (automatically converted to JPEG) - Binary data: Any bytes output from compatible blocks

To include attachments, provide the attachment filename as the key and reference the block output:

attachments = {
    "report.csv": "$steps.csv_formatter.csv_content",
    "detection.jpg": "$steps.bounding_box_visualization.image"
}

Note: Image attachments are automatically converted to JPEG format. If the filename doesn't include a .jpg or .jpeg extension, it will be added automatically.

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@v2to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
email_provider	str	Choose email delivery method: use Roboflow's managed service or configure your own SMTP server..	❌
subject	str	Subject of 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..	❌
sender_email	str	E-mail to be used to send the message..	✅
smtp_server	str	Custom SMTP server to be used..	✅
sender_email_password	str	Sender e-mail password be used when authenticating to SMTP server..	✅
cc_receiver_email	Optional[List[str], str]	CC e-mail address..	✅
bcc_receiver_email	Optional[List[str], str]	BCC e-mail address..	✅
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 v2.

• inputs: Background Color Visualization, Stitch Images, Size Measurement, Image Slicer, VLM as Classifier, Detections Transformation, Corner Visualization, Identify Outliers, Mask Visualization, CLIP Embedding Model, Local File Sink, Line Counter, Barcode Detection, Email Notification, Model Comparison Visualization, Time in Zone, Florence-2 Model, Multi-Label Classification Model, Ellipse Visualization, Rate Limiter, Camera Focus, OCR Model, Label Visualization, SmolVLM2, LMM For Classification, Blur Visualization, Dot Visualization, Google Vision OCR, Llama 3.2 Vision, Line Counter, Detections Stabilizer, Slack Notification, Cosine Similarity, Image Blur, Stitch OCR Detections, Depth Estimation, Stability AI Outpainting, Halo Visualization, Qwen2.5-VL, Stability AI Inpainting, Continue If, CogVLM, Classification Label Visualization, VLM as Detector, Instance Segmentation Model, Byte Tracker, Image Convert Grayscale, Perception Encoder Embedding Model, Polygon Zone Visualization, Clip Comparison, Detections Stitch, Crop Visualization, Image Slicer, Cache Get, YOLO-World Model, Detections Merge, Multi-Label Classification Model, Icon Visualization, Seg Preview, Color Visualization, Path Deviation, Buffer, Circle Visualization, Bounding Rectangle, CSV Formatter, Time in Zone, SIFT Comparison, Dynamic Crop, Delta Filter, Single-Label Classification Model, SIFT, Line Counter Visualization, PTZ Tracking (ONVIF).md), Image Preprocessing, Trace Visualization, SIFT Comparison, LMM, Dynamic Zone, Model Monitoring Inference Aggregator, Detections Classes Replacement, Camera Calibration, Object Detection Model, QR Code Detection, Keypoint Detection Model, Pixelate Visualization, Anthropic Claude, Relative Static Crop, Google Gemini, Triangle Visualization, Segment Anything 2 Model, Environment Secrets Store, QR Code Generator, Byte Tracker, Dominant Color, Time in Zone, Pixel Color Count, Roboflow Custom Metadata, Cache Set, Florence-2 Model, Identify Changes, Single-Label Classification Model, Overlap Filter, Detection Offset, Stability AI Image Generation, EasyOCR, Absolute Static Crop, SAM 3, Morphological Transformation, Velocity, Clip Comparison, Image Threshold, Byte Tracker, First Non Empty Or Default, Polygon Visualization, OpenAI, Grid Visualization, Roboflow Dataset Upload, Path Deviation, Distance Measurement, Template Matching, Email Notification, Bounding Box Visualization, OpenAI, Keypoint Detection Model, Object Detection Model, Expression, Gaze Detection, Moondream2, Property Definition, Roboflow Dataset Upload, Dimension Collapse, JSON Parser, Keypoint Visualization, Contrast Equalization, Image Contours, Instance Segmentation Model, Detections Filter, OpenAI, VLM as Classifier, Detections Combine, Reference Path Visualization, Twilio SMS Notification, VLM as Detector, Webhook Sink, Detections Consensus, Data Aggregator, Perspective Correction
• outputs: LMM, Background Color Visualization, Size Measurement, Dynamic Zone, Model Monitoring Inference Aggregator, Corner Visualization, Detections Classes Replacement, Object Detection Model, Mask Visualization, CLIP Embedding Model, Line Counter, Model Comparison Visualization, Email Notification, Keypoint Detection Model, Pixelate Visualization, Local File Sink, Time in Zone, Anthropic Claude, Google Gemini, Florence-2 Model, Multi-Label Classification Model, Ellipse Visualization, Triangle Visualization, Segment Anything 2 Model, QR Code Generator, Label Visualization, Time in Zone, Pixel Color Count, Roboflow Custom Metadata, Cache Set, Florence-2 Model, LMM For Classification, Single-Label Classification Model, Blur Visualization, Dot Visualization, Stability AI Image Generation, Google Vision OCR, Llama 3.2 Vision, Line Counter, Slack Notification, SAM 3, Morphological Transformation, Image Blur, Clip Comparison, Image Threshold, Stitch OCR Detections, Stability AI Outpainting, Halo Visualization, Stability AI Inpainting, Polygon Visualization, OpenAI, Roboflow Dataset Upload, Path Deviation, Template Matching, Distance Measurement, Trace Visualization, Classification Label Visualization, CogVLM, Email Notification, Instance Segmentation Model, Bounding Box Visualization, Polygon Zone Visualization, Perception Encoder Embedding Model, OpenAI, Detections Stitch, Keypoint Detection Model, Object Detection Model, Crop Visualization, Cache Get, YOLO-World Model, Multi-Label Classification Model, Gaze Detection, Moondream2, Icon Visualization, Seg Preview, Color Visualization, Roboflow Dataset Upload, Path Deviation, Keypoint Visualization, Contrast Equalization, Instance Segmentation Model, Circle Visualization, OpenAI, Time in Zone, Reference Path Visualization, Twilio SMS Notification, Dynamic Crop, Webhook Sink, Detections Consensus, Single-Label Classification Model, Line Counter Visualization, PTZ Tracking (ONVIF).md), Image Preprocessing, Perspective Correction, SIFT Comparison

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Email Notification in version v2 has.

Bindings

• input

  • receiver_email (Union[string, list_of_values]): Destination e-mail address..
  • message_parameters (*): Data to be used inside the message..
  • sender_email (string): E-mail to be used to send the message..
  • 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..
  • cc_receiver_email (Union[string, list_of_values]): CC e-mail address..
  • bcc_receiver_email (Union[string, list_of_values]): BCC e-mail address..
  • attachments (Union[bytes, string, image]): Attachments.
  • 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

  • error_status (boolean): Boolean flag.
  • throttling_status (boolean): Boolean flag.
  • message (string): String value.

Example JSON definition of step Email Notification in version v2

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/email_notification@v2",
    "email_provider": "Roboflow Managed API Key",
    "subject": "Workflow alert",
    "receiver_email": "receiver@gmail.com",
    "message": "During last 5 minutes detected {{ $parameters.num_instances }} instances",
    "message_parameters": {
        "predictions": "$steps.model.predictions",
        "reference": "$inputs.reference_class_names"
    },
    "message_parameters_operations": {
        "predictions": [
            {
                "property_name": "class_name",
                "type": "DetectionsPropertyExtract"
            }
        ]
    },
    "sender_email": "sender@gmail.com",
    "smtp_server": "$inputs.smtp_server",
    "sender_email_password": "$inputs.email_password",
    "cc_receiver_email": "cc-receiver@gmail.com",
    "bcc_receiver_email": "bcc-receiver@gmail.com",
    "smtp_port": 465,
    "attachments": {
        "report.cvs": "$steps.csv_formatter.csv_content"
    },
    "fire_and_forget": "$inputs.fire_and_forget",
    "disable_sink": false,
    "cooldown_seconds": "$inputs.cooldown_seconds"
}

v1

Class: EmailNotificationBlockV1 (there are multiple versions of this block)

Source: inference.core.workflows.core_steps.sinks.email_notification.v1.EmailNotificationBlockV1

Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning

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, and bcc_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 to 465

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: Background Color Visualization, Stitch Images, Size Measurement, Image Slicer, VLM as Classifier, Detections Transformation, Corner Visualization, Identify Outliers, Mask Visualization, CLIP Embedding Model, Local File Sink, Line Counter, Barcode Detection, Email Notification, Model Comparison Visualization, Time in Zone, Florence-2 Model, Multi-Label Classification Model, Ellipse Visualization, Rate Limiter, Camera Focus, OCR Model, Label Visualization, SmolVLM2, LMM For Classification, Blur Visualization, Dot Visualization, Google Vision OCR, Llama 3.2 Vision, Line Counter, Detections Stabilizer, Slack Notification, Cosine Similarity, Image Blur, Stitch OCR Detections, Depth Estimation, Stability AI Outpainting, Halo Visualization, Qwen2.5-VL, Stability AI Inpainting, Continue If, CogVLM, Classification Label Visualization, VLM as Detector, Instance Segmentation Model, Byte Tracker, Image Convert Grayscale, Perception Encoder Embedding Model, Polygon Zone Visualization, Clip Comparison, Detections Stitch, Crop Visualization, Image Slicer, Cache Get, YOLO-World Model, Detections Merge, Multi-Label Classification Model, Icon Visualization, Seg Preview, Color Visualization, Path Deviation, Buffer, Circle Visualization, Bounding Rectangle, CSV Formatter, Time in Zone, SIFT Comparison, Dynamic Crop, Delta Filter, Single-Label Classification Model, SIFT, Line Counter Visualization, PTZ Tracking (ONVIF).md), Image Preprocessing, Trace Visualization, SIFT Comparison, LMM, Dynamic Zone, Model Monitoring Inference Aggregator, Detections Classes Replacement, Camera Calibration, Object Detection Model, QR Code Detection, Keypoint Detection Model, Pixelate Visualization, Anthropic Claude, Relative Static Crop, Google Gemini, Triangle Visualization, Segment Anything 2 Model, Environment Secrets Store, QR Code Generator, Byte Tracker, Dominant Color, Time in Zone, Pixel Color Count, Roboflow Custom Metadata, Cache Set, Florence-2 Model, Identify Changes, Single-Label Classification Model, Overlap Filter, Detection Offset, Stability AI Image Generation, EasyOCR, Absolute Static Crop, SAM 3, Morphological Transformation, Velocity, Clip Comparison, Image Threshold, Byte Tracker, First Non Empty Or Default, Polygon Visualization, OpenAI, Grid Visualization, Roboflow Dataset Upload, Path Deviation, Distance Measurement, Template Matching, Email Notification, Bounding Box Visualization, OpenAI, Keypoint Detection Model, Object Detection Model, Expression, Gaze Detection, Moondream2, Property Definition, Roboflow Dataset Upload, Dimension Collapse, JSON Parser, Keypoint Visualization, Contrast Equalization, Image Contours, Instance Segmentation Model, Detections Filter, OpenAI, VLM as Classifier, Detections Combine, Reference Path Visualization, Twilio SMS Notification, VLM as Detector, Webhook Sink, Detections Consensus, Data Aggregator, Perspective Correction
• outputs: LMM, Background Color Visualization, Size Measurement, Dynamic Zone, Model Monitoring Inference Aggregator, Corner Visualization, Detections Classes Replacement, Object Detection Model, Mask Visualization, CLIP Embedding Model, Line Counter, Model Comparison Visualization, Email Notification, Keypoint Detection Model, Pixelate Visualization, Local File Sink, Time in Zone, Anthropic Claude, Google Gemini, Florence-2 Model, Multi-Label Classification Model, Ellipse Visualization, Triangle Visualization, Segment Anything 2 Model, QR Code Generator, Label Visualization, Time in Zone, Pixel Color Count, Roboflow Custom Metadata, Cache Set, Florence-2 Model, LMM For Classification, Single-Label Classification Model, Blur Visualization, Dot Visualization, Stability AI Image Generation, Google Vision OCR, Llama 3.2 Vision, Line Counter, Slack Notification, SAM 3, Morphological Transformation, Image Blur, Clip Comparison, Image Threshold, Stitch OCR Detections, Stability AI Outpainting, Halo Visualization, Stability AI Inpainting, Polygon Visualization, OpenAI, Roboflow Dataset Upload, Path Deviation, Template Matching, Distance Measurement, Trace Visualization, Classification Label Visualization, CogVLM, Email Notification, Instance Segmentation Model, Bounding Box Visualization, Polygon Zone Visualization, Perception Encoder Embedding Model, OpenAI, Detections Stitch, Keypoint Detection Model, Object Detection Model, Crop Visualization, Cache Get, YOLO-World Model, Multi-Label Classification Model, Gaze Detection, Moondream2, Icon Visualization, Seg Preview, Color Visualization, Roboflow Dataset Upload, Path Deviation, Keypoint Visualization, Contrast Equalization, Instance Segmentation Model, Circle Visualization, OpenAI, Time in Zone, Reference Path Visualization, Twilio SMS Notification, Dynamic Crop, Webhook Sink, Detections Consensus, Single-Label Classification Model, Line Counter Visualization, PTZ Tracking (ONVIF).md), Image Preprocessing, Perspective Correction, SIFT Comparison

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[string, list_of_values]): Destination e-mail address..
  • message_parameters (*): Data to be used inside the message..
  • cc_receiver_email (Union[string, list_of_values]): Destination e-mail address..
  • bcc_receiver_email (Union[string, list_of_values]): 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

  • error_status (boolean): Boolean flag.
  • throttling_status (boolean): Boolean flag.
  • message (string): String value.

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"
}