Task-oriented and view-angle-invariable multi-mode fault diagnosis method and system

The invention discloses a task-oriented and view-invariant multi-modal fault diagnosis method and system. The method comprises the following steps: constructing an instance dependency graph of a micro-service system based on tracking information to obtain multi-modal event expressions of instances; based on the instance dependency graph, part of non-root-cause nodes are randomly inactivated, and an augmented data set is obtained; feature aggregation is carried out on the instance dependency graph based on a graph neural network, a multi-modal graph-level fault expression is obtained, and task-oriented learning and cross-modal association construction are carried out on the multi-modal graph-level fault expression; and based on graph-level fault expression, two fault diagnosis tasks of root cause positioning and fault classification are jointly learned, and a final fault root cause ranking and a fault type are obtained. According to the method, the hidden association between the diagnosis task and the differen