- Recipes
- Amazon S3 CSV file to Factorial employees
Connect Amazon S3 CSV file and Factorial employees in our serverless environment
Use this template to Read CSV file entries from Amazon S3 bucket using them to create employees using Factorial HR API.
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Read CSV file entries from Amazon S3 bucket
Used integrations:
JavaScript
Python
class AwsS3SourceReadRemoteCsv {
async init() {
// More info at https://www.npmjs.com/package/@aws-sdk/client-s3
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
this.awsS3 = new S3Client({
region: yepcode.env.AWS_REGION,
credentials: {
accessKeyId: yepcode.env.AWS_ACCESS_KEY_ID,
secretAccessKey: yepcode.env.AWS_SECRET_ACCESS_KEY,
},
});
}
async fetch(publish, done) {
// TODO: Customize the command to be executed
// More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-s3/interfaces/getobjectcommandinput.html
const getObjectCommand = new GetObjectCommand({
Bucket: "your-bucket-name",
Key: "your-file-name",
});
const getObjectResult = await this.awsS3.send(getObjectCommand);
// Result.Body is a stream of object content
getObjectResult.Body.pipe(
csv.parse({
delimiter: ",",
columns: true,
})
)
.on("data", publish)
.on("end", done);
}
async close() {}
}
import csv
import io
import boto3
class AwsS3SourceReadRemoteCsv:
def setup(self):
# More info at https://boto3.amazonaws.com/v1/documentation/api/latest/index.html
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
self.aws_s3_client = boto3.client(
's3',
aws_access_key_id=yepcode.env.AWS_ACCESS_KEY_ID,
aws_secret_access_key=yepcode.env.AWS_SECRET_ACCESS_KEY,
region_name=yepcode.env.AWS_REGION
)
# TODO: If your csv does no have headers, you can define them here as a list:
# self.fieldnames = ["column1", "column2", "column3"]
self.fieldnames = None
def generator(self):
# TODO: Customize your bucket name and object key
# See all supported params in: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3/client/get_object.html
response = self.aws_s3_client.get_object(
Bucket="your-bucket-name",
Key="your-file-name",
)
bytes_stream = response["Body"]
csv_file_stream = io.TextIOWrapper(bytes_stream, encoding="utf-8")
reader = csv.DictReader(
csv_file_stream, delimiter=",", fieldnames=self.fieldnames
)
for row in reader:
yield row
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkCreate employees using Factorial HR API
Used integrations:
- JavaScript
- Python
class HttpTargetFactorialCreateEmployee {
async init() {
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
// TODO: Add your http credential with factorial information:
// baseUrl: https://api.factorialhr.com/api/v2/
// HTTP Headers: { "Authorization": "Bearer your-access-token" }
this.httpClient = axios.create({
baseURL: yepcode.env.FACTORIAL_BASE_URL,
headers: {
Authorization: `Bearer ${yepcode.env.FACTORIAL_ACCESS_TOKEN}`,
},
});
}
async consume(item) {
// TODO: Customize your request checking the API documentation:
// https://apidoc.factorialhr.com/
await this.httpClient.post("/core/employees", {
// TODO: map your fields from item
email: item.email,
first_name: item.first_name,
last_name: item.last_name,
birthday_on: "<date>",
start_date: "today",
regular_access_starts_on: "YYYY-MM-DD",
manager_id: "<long>",
role: "<string>",
timeoff_manager_id: "<long>",
terminated_on: "<date>",
termination_reason: "<string>",
});
}
async close() {}
}
import requests
from urllib.parse import urljoin
class HttpTargetFactorialCreateEmployee:
def setup(self):
# More info at https://pypi.org/project/requests/
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
# baseUrl: https://api.factorialhr.com/api/v1/
# HTTP Headers: { "Authorization": "Bearer your-access-token" }
self.base_url = "https://api.factorialhr.com/api/v1/"
self.session = requests.Session()
self.session.headers.update({
'Accept': 'application/json',
'Content-Type': 'application/json',
'Authorization': f'Bearer {yepcode.env.FACTORIAL_API_KEY}'
})
def consume(self, generator, done):
for item in generator:
self.process(item)
done()
def process(self, item):
# TODO: Customize your request checking the API documentation:
# https://apidoc.factorialhr.com/
response = self.session.post(
urljoin(self.base_url, "/core/employees"),
json={
# TODO: map your fields from item object
"email": item["email"],
"first_name": item["first_name"],
"last_name": item["last_name"],
"birthday_on": "<date>",
"start_date": "today",
"regular_access_starts_on": "YYYY-MM-DD",
"manager_id": "<long>",
"role": "<string>",
"timeoff_manager_id": "<long>",
"terminated_on": "<date>",
"termination_reason": "<string>",
},
)
response.raise_for_status()
def close(self):
pass
CSVFAQs
YepCode is a SaaS platform that enables the creation, execution and monitoring of integrations and automations using source code in a serverless environment.
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.
Sure! You only need to configure YepCode servers to establish a connection with that service. Check our docs page to get more information.