- Recipes
- AWS DynamoDB to Toggl
Connect AWS DynamoDB and Toggl in our serverless environment
Use this template to Read items from AWS DynamoDB table using them to create Toggl time entry.
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Read items from AWS DynamoDB table
Used integrations:
- JavaScript
- Python
class AwsDynamodbSourceScan {
async init() {
// TODO: Create your aws-dynamodb credential
// More info at https://yepcode.io/docs/integrations/aws-dynamodb/#credential-configuration
this.awsDynamodb = yepcode.integration.awsDynamodb(
"your-aws-dynamodb-credential-name"
);
}
async fetch(publish, done) {
// TODO: Customize the scan command
// More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/interfaces/scancommandinput.html
const scanCommand = new ScanCommand({
TableName: "table-name"
});
const result = await this.awsDynamodb.send(scanCommand);
for (const item of result.Items) {
await publish(item);
}
done();
}
async close() {}
}
class AwsDynamodbSourceScan:
def setup(self):
# TODO: Create your Dynamodb credential:
# More info at https://yepcode.io/docs/integrations/aws-dynamodb/#credential-configuration
self.aws_dynamodb_client = yepcode.integration.awsDynamodb(
"your-dynamodb-credential-name"
)
def generator(self):
# TODO: Customize your table name
# See all available options at: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/dynamodb/client/scan.html
response = self.aws_dynamodb_client.scan(TableName='table-name')
for item in response.get("Items", []):
yield item
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkCreate Toggl time entry
Used integrations:
- JavaScript
- Python
class HttpTargetTogglCreateTimeEntry {
async init() {
// TODO: Create your http credential with toggl information:
// More info at https://yepcode.io/docs/integrations/http/#credential-configuration
// Official docs: https://developers.track.toggl.com/docs/index.html
this.httpClient = yepcode.integration.http("your-toggl-credential-name");
}
async consume(item) {
// Official docs: https://developers.track.toggl.com/docs/api/time_entries
const workspaceId = "<your-workspace-id>";
const response = await this.httpClient.post(
`workspaces/${workspaceId}/time_entries`, {
description: item.description,
tags: [...item.tags],
workspace_id: workspaceId,
duration: item.duration,
start: new Date(item.date).toISOString(),
created_with: "yepcode",
}
);
}
async close() {}
}
import datetime
class HttpTargetTogglCreateTimeEntry:
def setup(self):
## TODO: Create your http credential with toggl information
## More info at https://yepcode.io/docs/integrations/http/#credential-configuration
## Official docs: https://developers.track.toggl.com/docs/index.html
self.session = yepcode.integration.http("your-toggl-credential-name")
def consume(self, item, done):
## Official docs: https://developers.track.toggl.com/docs/api/time_entries
workspace_id = "<your-workspace-id>"
## Format the start date
input_format = "%Y-%m-%d %H:%M:%S"
date = datetime.datetime.strptime(item["start"], input_format)
date_utc = date.replace(tzinfo=datetime.timezone.utc)
response = self.session.post(
f"workspaces/{workspace_id}/time_entries",
json={
"description": item["description"],
"tags": item["tags"],
"workspace_id": workspace_id,
"duration": item["duration"],
"start": date_utc.isoformat(),
"created_with": "toggl_client",
},
)
done()
def close(self):
pass
FAQs
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We like to call it the Zapier for developers, since we bring all the agility and benefits of NoCode tools (avoid server provisioning, environment configuration, deployments,...), but with all the power of being able to use a programming language like JavaScript or Python.
These recipes are an excellent starting point for creating your own YepCode processes and solving complex integration and automation problems.
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YepCode has been created with a clear enterprise focus, offering a multi-tenant environment, team management capabilities, high security and auditing standards, Identity Provider (IdP) integrations, and on-premise options. It serves as the Swiss army knife for engineering teams, especially those requiring the extraction or transmission of information to external systems. It excels in scenarios demanding flexibility and adaptability to change within the process.
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