260 lines
6.2 KiB
Go
260 lines
6.2 KiB
Go
package scheduler
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import (
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"fmt"
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"reflect"
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"strings"
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"github.com/hashicorp/nomad/nomad/structs"
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)
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// FeasibleIterator is used to iteratively yield nodes that
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// match feasibility constraints. The iterators may manage
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// some state for performance optimizations.
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type FeasibleIterator interface {
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// Next yields a feasible node or nil if exhausted
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Next() *structs.Node
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// Reset is invoked when an allocation has been placed
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// to reset any stale state.
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Reset()
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}
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// StaticIterator is a FeasibleIterator which returns nodes
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// in a static order. This is used at the base of the iterator
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// chain only for testing due to deterministic behavior.
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type StaticIterator struct {
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ctx Context
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nodes []*structs.Node
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offset int
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seen int
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}
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// NewStaticIterator constructs a random iterator from a list of nodes
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func NewStaticIterator(ctx Context, nodes []*structs.Node) *StaticIterator {
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iter := &StaticIterator{
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ctx: ctx,
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nodes: nodes,
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}
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return iter
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}
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func (iter *StaticIterator) Next() *structs.Node {
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// Check if exhausted
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n := len(iter.nodes)
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if iter.offset == n || iter.seen == n {
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if iter.seen != n {
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iter.offset = 0
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} else {
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return nil
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}
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}
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// Return the next offset
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offset := iter.offset
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iter.offset += 1
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iter.seen += 1
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iter.ctx.Metrics().EvaluateNode()
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return iter.nodes[offset]
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}
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func (iter *StaticIterator) Reset() {
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iter.seen = 0
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}
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func (iter *StaticIterator) SetNodes(nodes []*structs.Node) {
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iter.nodes = nodes
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iter.offset = 0
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iter.seen = 0
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}
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// NewRandomIterator constructs a static iterator from a list of nodes
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// after applying the Fisher-Yates algorithm for a random shuffle. This
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// is applied in-place
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func NewRandomIterator(ctx Context, nodes []*structs.Node) *StaticIterator {
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// shuffle with the Fisher-Yates algorithm
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shuffleNodes(nodes)
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// Create a static iterator
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return NewStaticIterator(ctx, nodes)
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}
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// DriverIterator is a FeasibleIterator which returns nodes that
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// have the drivers necessary to scheduler a task group.
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type DriverIterator struct {
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ctx Context
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source FeasibleIterator
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drivers map[string]struct{}
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}
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// NewDriverIterator creates a DriverIterator from a source and set of drivers
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func NewDriverIterator(ctx Context, source FeasibleIterator, drivers map[string]struct{}) *DriverIterator {
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iter := &DriverIterator{
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ctx: ctx,
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source: source,
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drivers: drivers,
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}
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return iter
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}
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func (iter *DriverIterator) SetDrivers(d map[string]struct{}) {
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iter.drivers = d
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}
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func (iter *DriverIterator) Next() *structs.Node {
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for {
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// Get the next option from the source
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option := iter.source.Next()
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if option == nil {
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return nil
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}
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// Use this node if possible
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if iter.hasDrivers(option) {
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return option
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}
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iter.ctx.Metrics().FilterNode(option, "missing drivers")
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}
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}
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func (iter *DriverIterator) Reset() {
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iter.source.Reset()
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}
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// hasDrivers is used to check if the node has all the appropriate
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// drivers for this task group. Drivers are registered as node attribute
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// like "driver.docker=1" with their corresponding version.
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func (iter *DriverIterator) hasDrivers(option *structs.Node) bool {
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for driver := range iter.drivers {
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driverStr := fmt.Sprintf("driver.%s", driver)
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_, ok := option.Attributes[driverStr]
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if !ok {
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return false
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}
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}
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return true
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}
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// ConstraintIterator is a FeasibleIterator which returns nodes
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// that match a given set of constraints. This is used to filter
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// on job, task group, and task constraints.
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type ConstraintIterator struct {
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ctx Context
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source FeasibleIterator
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constraints []*structs.Constraint
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}
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// NewConstraintIterator creates a ConstraintIterator from a source and set of constraints
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func NewConstraintIterator(ctx Context, source FeasibleIterator, constraints []*structs.Constraint) *ConstraintIterator {
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iter := &ConstraintIterator{
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ctx: ctx,
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source: source,
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constraints: constraints,
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}
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return iter
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}
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func (iter *ConstraintIterator) SetConstraints(c []*structs.Constraint) {
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iter.constraints = c
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}
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func (iter *ConstraintIterator) Next() *structs.Node {
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for {
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// Get the next option from the source
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option := iter.source.Next()
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if option == nil {
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return nil
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}
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// Use this node if possible
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if iter.meetsConstraints(option) {
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return option
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}
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}
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}
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func (iter *ConstraintIterator) Reset() {
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iter.source.Reset()
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}
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func (iter *ConstraintIterator) meetsConstraints(option *structs.Node) bool {
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for _, constraint := range iter.constraints {
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if !iter.meetsConstraint(constraint, option) {
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iter.ctx.Metrics().FilterNode(option, constraint.String())
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return false
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}
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}
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return true
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}
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func (iter *ConstraintIterator) meetsConstraint(constraint *structs.Constraint, option *structs.Node) bool {
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// Only enforce hard constraints, soft constraints are used for ranking
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if !constraint.Hard {
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return true
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}
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// Resolve the targets
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lVal, ok := resolveConstraintTarget(constraint.LTarget, option)
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if !ok {
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return false
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}
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rVal, ok := resolveConstraintTarget(constraint.RTarget, option)
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if !ok {
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return false
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}
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// Check if satisfied
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return checkConstraint(constraint.Operand, lVal, rVal)
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}
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// resolveConstraintTarget is used to resolve the LTarget and RTarget of a Constraint
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func resolveConstraintTarget(target string, node *structs.Node) (interface{}, bool) {
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// If no prefix, this must be a literal value
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if !strings.HasPrefix(target, "$") {
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return target, true
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}
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// Handle the interpolations
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switch {
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case "$node.id" == target:
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return node.ID, true
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case "$node.datacenter" == target:
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return node.Datacenter, true
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case "$node.name" == target:
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return node.Name, true
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case strings.HasPrefix(target, "$attr."):
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attr := strings.TrimPrefix(target, "$attr.")
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val, ok := node.Attributes[attr]
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return val, ok
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case strings.HasPrefix(target, "$meta."):
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meta := strings.TrimPrefix(target, "$meta.")
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val, ok := node.Meta[meta]
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return val, ok
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default:
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return nil, false
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}
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}
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// checkConstraint checks if a constraint is satisfied
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func checkConstraint(operand string, lVal, rVal interface{}) bool {
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switch operand {
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case "=", "==", "is":
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return reflect.DeepEqual(lVal, rVal)
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case "!=", "not":
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return !reflect.DeepEqual(lVal, rVal)
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case "<", "<=", ">", ">=":
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// TODO: Implement
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return false
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case "contains":
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// TODO: Implement
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return false
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default:
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return false
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}
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}
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