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Step by Step Guide to Building a Kintone API Integration in Python

Aug 16, 20245 minute read

Introduction

Hey there, fellow developer! Ready to dive into the world of Kintone API integration using Python? You're in for a treat. Kintone's API is a powerhouse for customizing and extending your Kintone apps, and with the pykintone package, it's easier than ever to harness that power in Python. Let's get started!

Prerequisites

Before we jump in, make sure you've got:

  • A Python environment set up (I know you've got this covered)
  • A Kintone account with API access (if you don't have one, go grab it!)

Installation

First things first, let's get pykintone installed:

pip install pykintone

Easy peasy, right?

Authentication

Now, let's set up our API credentials. You'll need your Kintone domain, app ID, and API token. Here's how to initialize the client:

import pykintone kintone = pykintone.app( domain="your-domain.kintone.com", app_id="your_app_id", api_token="your_api_token" )

Basic Operations

Retrieving Records

Want to fetch some records? It's as simple as:

records = kintone.select().execute() print(records.records)

Creating Records

Adding a new record is a breeze:

new_record = {"field_code": "value"} result = kintone.create(new_record) print(result.record_id)

Updating Records

Need to update a record? No sweat:

updated_record = {"field_code": "new_value"} result = kintone.update(record_id, updated_record)

Deleting Records

Goodbye, unwanted record:

result = kintone.delete(record_id)

Advanced Features

Querying with Filters

Let's get fancy with some filtering:

query = "field_code = 'specific_value'" records = kintone.select().where(query).execute()

Bulk Operations

Efficiency is key. Here's how to handle bulk operations:

records_to_create = [{"field_code": f"value_{i}"} for i in range(100)] result = kintone.batch_create(records_to_create)

File Handling

Dealing with files? We've got you covered:

file_key = kintone.upload_file("path/to/file.pdf") new_record = {"attachment_field": [{"fileKey": file_key}]} kintone.create(new_record)

Error Handling and Best Practices

Always wrap your API calls in try-except blocks to handle potential errors gracefully. And remember, Kintone has rate limits, so be mindful of your request frequency, especially for bulk operations.

try: result = kintone.select().execute() except Exception as e: print(f"Oops! Something went wrong: {e}")

Example Use Case

Let's put it all together with a simple app that fetches records, updates them, and logs the changes:

import pykintone import logging logging.basicConfig(level=logging.INFO) kintone = pykintone.app(domain="your-domain.kintone.com", app_id="your_app_id", api_token="your_api_token") def update_status(record_id, new_status): try: kintone.update(record_id, {"status": new_status}) logging.info(f"Updated record {record_id} with status: {new_status}") except Exception as e: logging.error(f"Failed to update record {record_id}: {e}") records = kintone.select().where("status = 'pending'").execute().records for record in records: update_status(record["$id"]["value"], "processed")

Conclusion

And there you have it! You're now equipped to build powerful Kintone integrations with Python. Remember, the pykintone package offers even more features than we've covered here, so don't be afraid to explore and experiment.

Happy coding, and may your integrations be ever smooth and your data always accessible!