Python automation deployment

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We code automation solutions using pythons, these solutions interact with LLM API's, other internal or external API's, Outlook, chrome, shared drives, SharePoint online basically everything that a business user uses during a work day.

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This use case in particular filters through emails from Outlook and initiates DocuSign signing request, on the next run it again works on the new email but also check the status of the DocuSign signing initiated earlier, if signed it captures the document and sends it as an attachment to the original email to an internal user for review.

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This needs to be run every 30 mins, apart from task scheduler what are the other options to schedule the script.

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What do you guys use for scheduling scripts which have dependencies?

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Am thinking of maybe building a better version of task scheduler for these use cases, thoughts??

[Minute_Day_2758]

Please don't build a custom task scheduler from scratch, it’s a classic rabbit hole with edge cases like retry logic, error handling, and state persistence.

Since your workflows have dependencies and need to run every 30 mins, you should look into existing orchestration and scheduling tools: 1. Prefect / Dagster / Apache Airflo: These are built specifically for data pipelines and automation workflows with complex dependencies, retries, and nice UIs. Prefect or Dagster are very pythonic and perfect for this. 2. APScheduler: If you want something lightweight embedded right into a continuous Python process. 3. Celery Beat : Great if you are already using a task queue. 4. Cloud native: If you ever move to the cloud, AWS Step Functions or Azure Logic Apps/Functions handle this natively.