Exact Shap calculations for logistic regression?

Given the relatively simple form of the model of standard logistic regression. I was wondering if there is an exact calculation of shap values for logistic regressions. To be clear I am looking for a closed formula depending on features ($X_i$) and coefficients ($\beta_i$) to calculate Shapley values and their corresponding importance.