Data-driven presentations are crucial for effective decision-making, but manually updating reports can be time-consuming and error-prone. By leveraging Python, Looker’s API, and FlashDocs’ API, businesses can streamline reporting workflows and ensure their presentations always reflect the latest insights.
This guide walks you through automating a Looker dashboard with Google Slides using Python, covering key steps, best practices, and tools like the FlashDocs API to simplify the process.
Manually exporting data from Looker and inserting it into Google Slides is inefficient. Automation ensures your slides stay up-to-date with minimal intervention.
Automating the process reduces the risk of human errors that can occur during data transfers, ensuring reports remain reliable.
Organizations with recurring reports can generate presentations dynamically, reducing redundancy and improving efficiency.
By automating Google Slides from Looker, teams can access the most current insights, enabling data-driven decision-making.
To extract data from Looker, you need API access. Follow these steps:
pip install looker-sdk
import looker_sdk
sdk = looker_sdk.init40(config_file="looker.ini")
Retrieve data from a specific Looker dashboard using the API:response = sdk.run_look(look_id=1234, result_format="json")
This will fetch the dashboard data in JSON format for further processing.
prompt = response.json()
Instead of manually creating and formatting Google Slides, you can use FlashDocs API to generate slides dynamically.
First, install the necessary dependencies:
pip install requests
Next, send the Looker data to FlashDocs API to generate the slides:import requests
FLASHDOCS_API_KEY = "your_flashdocs_api_key"
FLASHDOCS_URL = "https://api.flashdocs.ai/v3/generate/deck"
headers = {
"Authorization": f"Bearer {FLASHDOCS_API_KEY}",
"Content-Type": "application/json"
}
payload = {
"prompt": "Generate a summary of key insights from the Looker dashboard.",
"source_document_id": "your_source_document_id",
"number_slides": 5,
"outline": [
{
"content_instruction": "Summarize key trends and insights from the dashboard.",
"layout_instruction": "Bullet points with data highlights."
}
],
"audience_domain": "yourcompany.com",
"presentation_name": "Looker Dashboard Insights",
"google_document_editors": ["analyst@yourcompany.com"]
}
response = requests.post(FLASHDOCS_URL, headers=headers, json=payload)
slides_link = response.json().get("document_url")
print(f"Generated Google Slides: {slides_link}")
This sends Looker’s extracted data to FlashDocs, which processes it and returns a link to the newly created Google Slides presentation.
To keep your reports updated automatically, schedule this script using a cron job or a cloud function.For example, using a cron job:
crontab -e
Add the following line to run the script daily at 8 AM:0 8 * * * /usr/bin/python3 /path/to/your_script.py
Simplify the Process with FlashDocs APIWe have built FlashDocs API to make Looker and Google Slides automation even easier. Our API enables businesses to generate and edit Google Slides presentations effortlessly, eliminating the need for complex scripting.Key Features:
Automating a Looker dashboard with Google Slides and Python enhances efficiency, ensures accuracy, and enables real-time reporting. By leveraging Looker’s API and FlashDocs API, teams can generate dynamic presentations effortlessly.🚀
Get started with FlashDocs API today: FlashDocs API Docs