From d0fccd1050f5d6ccc24c1e4d2b7d1c0ed94fb2a7 Mon Sep 17 00:00:00 2001
From: bobzel <zzzman@gmail.com>
Date: Sun, 23 Mar 2025 10:27:28 -0400
Subject: updated more [DocData] to .$ things

---
 .../collections/collectionFreeForm/ImageLabelBox.tsx  | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

(limited to 'src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx')

diff --git a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx
index a3d9641da..c983d7c26 100644
--- a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx
+++ b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx
@@ -9,7 +9,6 @@ import React from 'react';
 import { imageUrlToBase64 } from '../../../../ClientUtils';
 import { Utils, numberRange } from '../../../../Utils';
 import { Doc, NumListCast, Opt } from '../../../../fields/Doc';
-import { DocData } from '../../../../fields/DocSymbols';
 import { List } from '../../../../fields/List';
 import { ImageCast } from '../../../../fields/Types';
 import { gptGetEmbedding, gptImageLabel } from '../../../apis/gpt/GPT';
@@ -165,7 +164,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent<FieldViewProps>() {
         // Converts the images into a Base64 format, afterwhich the information is sent to GPT to label them.
 
         const imageInfos = this._selectedImages.map(async doc => {
-            if (!doc[DocData].tags_chat) {
+            if (!doc.$tags_chat) {
                 const [name, type] = ImageCast(doc[Doc.LayoutFieldKey(doc)]).url.href.split('.');
                 return imageUrlToBase64(`${name}_o.${type}`).then(hrefBase64 =>
                 !hrefBase64 ? undefined : 
@@ -176,7 +175,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent<FieldViewProps>() {
 
         (await Promise.all(imageInfos)).forEach(imageInfo => {
             if (imageInfo) {
-                imageInfo.doc[DocData].tags_chat = (imageInfo.doc[DocData].tags_chat as List<string>) ?? new List<string>();
+                imageInfo.doc.$tags_chat = (imageInfo.doc.$tags_chat as List<string>) ?? new List<string>();
 
                 const labels = imageInfo.labels.split('\n');
                 labels.forEach(label => {
@@ -186,7 +185,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent<FieldViewProps>() {
                             .replace(/^\d+\.\s*|-|f\*/, '')
                             .replace(/^#/, '')
                             .trim();
-                    (imageInfo.doc[DocData].tags_chat as List<string>).push(hashLabel);
+                    (imageInfo.doc.$tags_chat as List<string>).push(hashLabel);
                 });
             }
         });
@@ -201,10 +200,10 @@ export class ImageLabelBox extends ViewBoxBaseComponent<FieldViewProps>() {
         this.startLoading();
 
         for (const doc of this._selectedImages) {
-            for (let index = 0; index < (doc[DocData].tags_chat as List<string>).length; index++) {
-                const label = (doc[DocData].tags_chat as List<string>)[index];
+            for (let index = 0; index < (doc.$tags_chat as List<string>).length; index++) {
+                const label = (doc.$tags_chat as List<string>)[index];
                 const embedding = await gptGetEmbedding(label);
-                doc[DocData][`tags_embedding_${index + 1}`] = new List<number>(embedding);
+                doc[`$tags_embedding_${index + 1}`] = new List<number>(embedding);
             }
         }
 
@@ -215,13 +214,13 @@ export class ImageLabelBox extends ViewBoxBaseComponent<FieldViewProps>() {
         // For each image, loop through the labels, and calculate similarity. Associate it with the
         // most similar one.
         this._selectedImages.forEach(doc => {
-            const embedLists = numberRange((doc[DocData].tags_chat as List<string>).length).map(n => Array.from(NumListCast(doc[DocData][`tags_embedding_${n + 1}`])));
+            const embedLists = numberRange((doc.$tags_chat as List<string>).length).map(n => Array.from(NumListCast(doc[`$tags_embedding_${n + 1}`])));
             const bestEmbedScore = (embedding: Opt<number[]>) => Math.max(...embedLists.map(l => (embedding && similarity(Array.from(embedding), l)!) || 0));
             const {label: mostSimilarLabelCollect} = 
                 this._labelGroups.map(label => ({ label, similarityScore: bestEmbedScore(labelToEmbedding.get(label)) }))
                            .reduce((prev, cur) => cur.similarityScore < 0.3 || cur.similarityScore <= prev.similarityScore ? prev: cur,
                                    { label: '', similarityScore: 0, }); // prettier-ignore
-            doc[DocData].data_label = mostSimilarLabelCollect; // The label most similar to the image's contents.
+            doc.$data_label = mostSimilarLabelCollect; // The label most similar to the image's contents.
         });
 
         this.endLoading();
@@ -322,7 +321,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent<FieldViewProps>() {
                                             await DocumentView.showDocument(doc, { willZoomCentered: true });
                                         }}></img>
                                     <div className="image-information-labels" onClick={() => this._props.addDocTab(doc, OpenWhere.addRightKeyvalue)}>
-                                        {(doc[DocData].tags_chat as List<string>).map(label => {
+                                        {(doc.$tags_chat as List<string>).map(label => {
                                             return (
                                                 <div key={Utils.GenerateGuid()} className="image-label" style={{ backgroundColor: SettingsManager.userVariantColor, borderColor: SettingsManager.userColor }}>
                                                     {label}
-- 
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