168 lines
6.6 KiB
Go
168 lines
6.6 KiB
Go
package configupgrade
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import (
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"log"
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hcl2 "github.com/hashicorp/hcl2/hcl"
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hcl2syntax "github.com/hashicorp/hcl2/hcl/hclsyntax"
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"github.com/zclconf/go-cty/cty"
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"github.com/hashicorp/terraform/addrs"
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"github.com/hashicorp/terraform/lang"
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"github.com/hashicorp/terraform/tfdiags"
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)
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// InferExpressionType attempts to determine a result type for the given
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// expression source code, which should already have been upgraded to new
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// expression syntax.
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//
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// If self is non-nil, it will determine the meaning of the special "self"
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// reference.
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//
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// If such an inference isn't possible, either because of limitations of
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// static analysis or because of errors in the expression, the result is
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// cty.DynamicPseudoType indicating "unknown".
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func (an *analysis) InferExpressionType(src []byte, self addrs.Referenceable) cty.Type {
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expr, diags := hcl2syntax.ParseExpression(src, "", hcl2.Pos{Line: 1, Column: 1})
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if diags.HasErrors() {
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// If there's a syntax error then analysis is impossible.
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return cty.DynamicPseudoType
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}
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data := analysisData{an}
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scope := &lang.Scope{
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Data: data,
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SelfAddr: self,
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PureOnly: false,
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BaseDir: ".",
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}
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val, _ := scope.EvalExpr(expr, cty.DynamicPseudoType)
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// Value will be cty.DynamicVal if either inference was impossible or
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// if there was an error, leading to cty.DynamicPseudoType here.
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return val.Type()
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}
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// analysisData is an implementation of lang.Data that returns unknown values
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// of suitable types in order to achieve approximate dynamic analysis of
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// expression result types, which we need for some upgrade rules.
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//
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// Unlike a usual implementation of this interface, this one never returns
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// errors and will instead just return cty.DynamicVal if it can't produce
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// an exact type for any reason. This can then allow partial upgrading to
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// proceed and the caller can emit warning comments for ambiguous situations.
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//
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// N.B.: Source ranges in the data methods are meaningless, since they are
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// just relative to the byte array passed to InferExpressionType, not to
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// any real input file.
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type analysisData struct {
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an *analysis
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}
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var _ lang.Data = (*analysisData)(nil)
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func (d analysisData) StaticValidateReferences(refs []*addrs.Reference, self addrs.Referenceable) tfdiags.Diagnostics {
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// This implementation doesn't do any static validation.
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return nil
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}
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func (d analysisData) GetCountAttr(addr addrs.CountAttr, rng tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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// All valid count attributes are numbers
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return cty.UnknownVal(cty.Number), nil
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}
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func (d analysisData) GetResourceInstance(instAddr addrs.ResourceInstance, rng tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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log.Printf("[TRACE] configupgrade: Determining type for %s", instAddr)
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addr := instAddr.Resource
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// Our analysis pass should've found a suitable schema for every resource
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// type in the module.
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providerType, ok := d.an.ResourceProviderType[addr]
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if !ok {
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// Should not be possible, since analysis visits every resource block.
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log.Printf("[TRACE] configupgrade: analysis.GetResourceInstance doesn't have a provider type for %s", addr)
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return cty.DynamicVal, nil
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}
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providerSchema, ok := d.an.ProviderSchemas[providerType]
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if !ok {
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// Should not be possible, since analysis loads schema for every provider.
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log.Printf("[TRACE] configupgrade: analysis.GetResourceInstance doesn't have a provider schema for for %q", providerType)
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return cty.DynamicVal, nil
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}
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schema, _ := providerSchema.SchemaForResourceAddr(addr)
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if schema == nil {
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// Should not be possible, since analysis loads schema for every provider.
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log.Printf("[TRACE] configupgrade: analysis.GetResourceInstance doesn't have a schema for for %s", addr)
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return cty.DynamicVal, nil
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}
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objTy := schema.ImpliedType()
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// We'll emulate the normal evaluator's behavor of deciding whether to
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// return a list or a single object type depending on whether count is
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// set and whether an instance key is given in the address.
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if d.an.ResourceHasCount[addr] {
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if instAddr.Key == addrs.NoKey {
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log.Printf("[TRACE] configupgrade: %s refers to counted instance without a key, so result is a list of %#v", instAddr, objTy)
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return cty.UnknownVal(cty.List(objTy)), nil
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}
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log.Printf("[TRACE] configupgrade: %s refers to counted instance with a key, so result is single object", instAddr)
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return cty.UnknownVal(objTy), nil
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}
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if instAddr.Key != addrs.NoKey {
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log.Printf("[TRACE] configupgrade: %s refers to non-counted instance with a key, which is invalid", instAddr)
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return cty.DynamicVal, nil
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}
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log.Printf("[TRACE] configupgrade: %s refers to non-counted instance without a key, so result is single object", instAddr)
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return cty.UnknownVal(objTy), nil
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}
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func (d analysisData) GetLocalValue(addrs.LocalValue, tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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// We can only predict these in general by recursively evaluating their
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// expressions, which creates some undesirable complexity here so for
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// now we'll just skip analyses with locals and see if this complexity
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// is warranted with real-world testing.
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return cty.DynamicVal, nil
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}
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func (d analysisData) GetModuleInstance(addrs.ModuleCallInstance, tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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// We only work on one module at a time during upgrading, so we have no
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// information about the outputs of a child module.
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return cty.DynamicVal, nil
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}
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func (d analysisData) GetModuleInstanceOutput(addrs.ModuleCallOutput, tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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// We only work on one module at a time during upgrading, so we have no
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// information about the outputs of a child module.
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return cty.DynamicVal, nil
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}
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func (d analysisData) GetPathAttr(addrs.PathAttr, tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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// All valid path attributes are strings
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return cty.UnknownVal(cty.String), nil
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}
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func (d analysisData) GetTerraformAttr(addrs.TerraformAttr, tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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// All valid "terraform" attributes are strings
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return cty.UnknownVal(cty.String), nil
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}
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func (d analysisData) GetInputVariable(addr addrs.InputVariable, rng tfdiags.SourceRange) (cty.Value, tfdiags.Diagnostics) {
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// TODO: Collect shallow type information (list vs. map vs. string vs. unknown)
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// in analysis and then return a similarly-approximate type here.
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log.Printf("[TRACE] configupgrade: Determining type for %s", addr)
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name := addr.Name
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typeName := d.an.VariableTypes[name]
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switch typeName {
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case "list":
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return cty.UnknownVal(cty.List(cty.DynamicPseudoType)), nil
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case "map":
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return cty.UnknownVal(cty.Map(cty.DynamicPseudoType)), nil
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case "string":
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return cty.UnknownVal(cty.String), nil
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default:
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return cty.DynamicVal, nil
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}
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}
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