acepy | Automatic Concurrent Execution in Python

acepy is a Python library. acepy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However acepy build file is not available. You can download it from GitHub.

Automatic Concurrent Execution in Python. Given a list of tasks, AcePy finds the most optimal sequence to complete the tasks, executing them in parallel whenever possible. AcePy accomplishes this automatically, and requires minimal refactoring of your code to work. For example, suppose we are building a dashboard for an online shopping site. Suppose we need to do the following API/RPC calls to get all the relevant data to show. To write the code to accomplish the above tasks, we can just call each function from top to bottom. Each time a function finishes, we forward its return value into the parameter of the next function that needs it. It is easy to write the code to do these tasks one by one. However, if we want to reduce some time waiting on IO operations to complete, then we could instead execute the functions concurrently. But, we can't just do all of them at once. For example, isEligibleForDiscount depends on membership status and the available discounts, thus can only be run once everything else has been completed. In this small example it is not too hard to figure out which functions can be called concurrently and which need to wait for others to finish. However, in a larger codebase it can be extremely difficult to find the most optimal scheduling. As a result, manually writing the code to chain together IO tasks is very error prone, hard to read, and often times suboptimal.