feat: implement faces api with resource and data source
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@@ -0,0 +1,149 @@
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package provider
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import (
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"context"
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"fmt"
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"github.com/hashicorp/terraform-plugin-framework/datasource"
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"github.com/hashicorp/terraform-plugin-framework/datasource/schema"
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"github.com/hashicorp/terraform-plugin-framework/types"
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"github.com/tfmm/terraform-provider-immich/internal/client"
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)
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// Ensure the implementation satisfies the expected interfaces.
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var _ datasource.DataSource = &facesDataSource{}
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func NewFacesDataSource() datasource.DataSource {
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return &facesDataSource{}
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}
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// facesDataSource defines the data source implementation.
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type facesDataSource struct {
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client *client.Client
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}
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// facesDataSourceModel describes the data source data model.
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type facesDataSourceModel struct {
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AssetId types.String `tfsdk:"asset_id"`
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Faces []facesModel `tfsdk:"faces"`
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}
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type facesModel struct {
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ID types.String `tfsdk:"id"`
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PersonId types.String `tfsdk:"person_id"`
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BoundingBoxX1 types.Float64 `tfsdk:"bounding_box_x1"`
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BoundingBoxY1 types.Float64 `tfsdk:"bounding_box_y1"`
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BoundingBoxX2 types.Float64 `tfsdk:"bounding_box_x2"`
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BoundingBoxY2 types.Float64 `tfsdk:"bounding_box_y2"`
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ImageHeight types.Int64 `tfsdk:"image_height"`
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ImageWidth types.Int64 `tfsdk:"image_width"`
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}
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func (d *facesDataSource) Metadata(ctx context.Context, req datasource.MetadataRequest, resp *datasource.MetadataResponse) {
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resp.TypeName = req.ProviderTypeName + "_faces"
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}
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func (d *facesDataSource) Schema(ctx context.Context, req datasource.SchemaRequest, resp *datasource.SchemaResponse) {
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resp.Schema = schema.Schema{
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MarkdownDescription: "Retrieves a list of faces for a specific asset.",
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Attributes: map[string]schema.Attribute{
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"asset_id": schema.StringAttribute{
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Required: true,
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MarkdownDescription: "The ID of the asset.",
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},
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"faces": schema.ListNestedAttribute{
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Computed: true,
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MarkdownDescription: "List of faces.",
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NestedObject: schema.NestedAttributeObject{
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Attributes: map[string]schema.Attribute{
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"id": schema.StringAttribute{
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Computed: true,
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MarkdownDescription: "Unique identifier for the face.",
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},
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"person_id": schema.StringAttribute{
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Computed: true,
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MarkdownDescription: "The ID of the person associated with this face.",
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},
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"bounding_box_x1": schema.Float64Attribute{
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Computed: true,
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MarkdownDescription: "The left coordinate of the bounding box.",
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},
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"bounding_box_y1": schema.Float64Attribute{
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Computed: true,
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MarkdownDescription: "The top coordinate of the bounding box.",
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},
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"bounding_box_x2": schema.Float64Attribute{
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Computed: true,
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MarkdownDescription: "The right coordinate of the bounding box.",
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},
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"bounding_box_y2": schema.Float64Attribute{
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Computed: true,
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MarkdownDescription: "The bottom coordinate of the bounding box.",
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},
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"image_height": schema.Int64Attribute{
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Computed: true,
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MarkdownDescription: "The height of the image in pixels.",
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},
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"image_width": schema.Int64Attribute{
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Computed: true,
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MarkdownDescription: "The width of the image in pixels.",
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},
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},
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},
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},
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},
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}
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}
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func (d *facesDataSource) Configure(ctx context.Context, req datasource.ConfigureRequest, resp *datasource.ConfigureResponse) {
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if req.ProviderData == nil {
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return
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}
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client, ok := req.ProviderData.(*client.Client)
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if !ok {
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resp.Diagnostics.AddError(
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"Unexpected Data Source Configure Type",
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fmt.Sprintf("Expected *client.Client, got: %T. Please report this issue to the provider developers.", req.ProviderData),
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)
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return
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}
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d.client = client
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}
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func (d *facesDataSource) Read(ctx context.Context, req datasource.ReadRequest, resp *datasource.ReadResponse) {
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var data facesDataSourceModel
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resp.Diagnostics.Append(req.Config.Get(ctx, &data)...)
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if resp.Diagnostics.HasError() {
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return
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}
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faces, err := d.client.GetFaces(data.AssetId.ValueString())
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if err != nil {
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resp.Diagnostics.AddError("Client Error", fmt.Sprintf("Unable to read faces, got error: %s", err))
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return
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}
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data.Faces = []facesModel{}
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for _, f := range faces {
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fState := facesModel{
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ID: types.StringValue(f.ID),
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PersonId: types.StringValue(f.PersonId),
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BoundingBoxX1: types.Float64Value(f.BoundingBoxX1),
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BoundingBoxY1: types.Float64Value(f.BoundingBoxY1),
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BoundingBoxX2: types.Float64Value(f.BoundingBoxX2),
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BoundingBoxY2: types.Float64Value(f.BoundingBoxY2),
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ImageHeight: types.Int64Value(int64(f.ImageHeight)),
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ImageWidth: types.Int64Value(int64(f.ImageWidth)),
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}
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data.Faces = append(data.Faces, fState)
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}
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resp.Diagnostics.Append(resp.State.Set(ctx, &data)...)
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}
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