refactor(workflow-operator): rename PythonCodegenBase to HuggingFaceCodegenBase for clarity

common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/huggingFace/HuggingFaceInferenceOpDesc.scala

@@ -29,7 +29,7 @@ import org.apache.texera.amber.operator.huggingFace.codegen.{
   CodegenContext,
   ImageTaskCodegen,
   MediaGenCodegen,
-  PythonCodegenBase,
+  HuggingFaceCodegenBase,
   QaRankingCodegen,
   TaskCodegen,
   TextGenCodegen
@@ -47,12 +47,12 @@ import org.apache.texera.amber.pybuilder.PyStringTypes.EncodableString
   * `TaskCodegen` implementations registered in `registeredCodegens`.
   *
   * The Python script that runs at execution time is assembled by
-  * `PythonCodegenBase.render(ctx, codegen)`, which composes the shared
+  * `HuggingFaceCodegenBase.render(ctx, codegen)`, which composes the shared
   * provider-fallback / request-loop infrastructure with the per-task
   * payload + parse snippets supplied by the selected `TaskCodegen`.
   *
   * User-provided string fields are typed as [[EncodableString]] so the
-  * `pyb"..."` macro inside `PythonCodegenBase` emits them as
+  * `pyb"..."` macro inside `HuggingFaceCodegenBase` emits them as
   * base64-decoded expressions at runtime instead of raw Python literals —
   * this is what allows the operator to satisfy
   * `PythonCodeRawInvalidTextSpec`'s contract that arbitrary `@JsonProperty`
@@ -246,7 +246,7 @@ class HuggingFaceInferenceOpDesc extends PythonOperatorDescriptor {
       sentencesColumn = safeSentencesColumn
     )
 
-    PythonCodegenBase.render(ctx, codegenForTask(safeTask))
+    HuggingFaceCodegenBase.render(ctx, codegenForTask(safeTask))
   }
 
   override def operatorInfo: OperatorInfo =

common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/huggingFace/codegen/PythonCodegenBase.scala → common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/huggingFace/codegen/HuggingFaceCodegenBase.scala

@@ -42,7 +42,7 @@ import org.apache.texera.amber.pybuilder.PythonTemplateBuilder.PythonTemplateBui
   * loading, audio MIME inference, media-URL fetching, etc.) will be added
   * in subsequent PRs as the corresponding task families land.
   */
-object PythonCodegenBase {
+object HuggingFaceCodegenBase {
 
   def render(ctx: CodegenContext, codegen: TaskCodegen): String = {
     val payload = codegen.payloadPython(ctx)

common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/huggingFace/codegen/ImageTaskCodegen.scala

@@ -31,11 +31,11 @@ package org.apache.texera.amber.operator.huggingFace.codegen
   *    zero-shot-image-classification, image-text-to-text, image-to-image.
   *
   * Per-row `current_image_bytes` is resolved upstream in
-  * [[PythonCodegenBase]]'s `process_table` (either from the operator's
+  * [[HuggingFaceCodegenBase]]'s `process_table` (either from the operator's
   * uploaded image or from `INPUT_IMAGE_COLUMN`). The image helpers
   * (`_read_image_input`, `_compress_image_bytes`, `_image_input_as_base64`,
   * `_read_binary_value`, `_looks_like_html`, `_html_to_image_bytes`,
-  * `_extract_json_arg`) live in PythonCodegenBase alongside the per-task
+  * `_extract_json_arg`) live in HuggingFaceCodegenBase alongside the per-task
   * tuples (`image_only_tasks`, `image_prompt_tasks`, `image_tasks`).
   */
 object ImageTaskCodegen extends TaskCodegen {

common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/huggingFace/codegen/TaskCodegen.scala

@@ -25,7 +25,7 @@ import org.apache.texera.amber.pybuilder.PyStringTypes.EncodableString
   * Inputs the dispatcher passes through to each TaskCodegen.
   *
   * User-provided string fields are typed as [[EncodableString]] so the
-  * `pyb"..."` macro in [[PythonCodegenBase]] emits them as base64-decoded
+  * `pyb"..."` macro in [[HuggingFaceCodegenBase]] emits them as base64-decoded
   * runtime expressions rather than raw Python string literals — required to
   * pass `PythonCodeRawInvalidTextSpec`'s leakage check.
   */
@@ -57,7 +57,7 @@ final case class CodegenContext(
   * `*Codegen` objects and adding them to that map.
   *
   * Snippets returned by these methods are Python source spliced into the
-  * shared template assembled by [[PythonCodegenBase.render]]. Snippets must
+  * shared template assembled by [[HuggingFaceCodegenBase.render]]. Snippets must
   * NOT directly inline user-provided strings — reference the per-instance
   * attributes `self.HF_API_TOKEN`, `self.MODEL_ID`, `self.PROMPT_COLUMN`,
   * etc. that the base class initializes from `CodegenContext` via the

common/workflow-operator/src/test/scala/org/apache/texera/amber/operator/huggingFace/codegen/PythonCodegenBaseSpec.scala → common/workflow-operator/src/test/scala/org/apache/texera/amber/operator/huggingFace/codegen/HuggingFaceCodegenBaseSpec.scala

@@ -23,7 +23,7 @@ import org.apache.texera.amber.pybuilder.PyStringTypes.EncodableString
 import org.scalatest.flatspec.AnyFlatSpec
 import org.scalatest.matchers.should.Matchers
 
-class PythonCodegenBaseSpec extends AnyFlatSpec with Matchers {
+class HuggingFaceCodegenBaseSpec extends AnyFlatSpec with Matchers {
 
   // A stand-in TaskCodegen whose payload/parse snippets are distinctive
   // sentinels. Because payloadPython/parsePython return plain Python source
@@ -59,8 +59,8 @@ class PythonCodegenBaseSpec extends AnyFlatSpec with Matchers {
       safeTemp = safeTemp
     )
 
-  "PythonCodegenBase.render" should "emit the ProcessTableOperator skeleton and shared helpers" in {
-    val out = PythonCodegenBase.render(makeCtx(), StubCodegen)
+  "HuggingFaceCodegenBase.render" should "emit the ProcessTableOperator skeleton and shared helpers" in {
+    val out = HuggingFaceCodegenBase.render(makeCtx(), StubCodegen)
     out should include("class ProcessTableOperator(UDFTableOperator):")
     out should include("def open(self):")
     out should include("def process_table(")
@@ -73,7 +73,7 @@ class PythonCodegenBaseSpec extends AnyFlatSpec with Matchers {
   }
 
   it should "splice the per-task codegen's payload and parse snippets into the template" in {
-    val out = PythonCodegenBase.render(makeCtx(), StubCodegen)
+    val out = HuggingFaceCodegenBase.render(makeCtx(), StubCodegen)
     out should include("STUB_PAYLOAD_zX7q42")
     out should include("STUB_PARSE_zX7q42")
   }
@@ -82,8 +82,8 @@ class PythonCodegenBaseSpec extends AnyFlatSpec with Matchers {
     // The same context routed through two different codegens must yield the
     // spliced fragments of whichever codegen is passed, proving the base is a
     // pure host for the codegen's snippets.
-    val stub = PythonCodegenBase.render(makeCtx(), StubCodegen)
-    val real = PythonCodegenBase.render(makeCtx(), TextGenCodegen)
+    val stub = HuggingFaceCodegenBase.render(makeCtx(), StubCodegen)
+    val real = HuggingFaceCodegenBase.render(makeCtx(), TextGenCodegen)
     stub should include("STUB_PAYLOAD_zX7q42")
     real should not include "STUB_PAYLOAD_zX7q42"
     // TextGenCodegen's real payload/parse markers appear only in the real run.
@@ -96,13 +96,14 @@ class PythonCodegenBaseSpec extends AnyFlatSpec with Matchers {
   }
 
   it should "interpolate the numeric context fields as raw Python literals" in {
-    val out = PythonCodegenBase.render(makeCtx(safeMaxTokens = 512, safeTemp = 0.9), StubCodegen)
+    val out =
+      HuggingFaceCodegenBase.render(makeCtx(safeMaxTokens = 512, safeTemp = 0.9), StubCodegen)
     out should include("self.MAX_NEW_TOKENS = 512")
     out should include("self.TEMPERATURE = 0.9")
   }
 
   it should "assign user-provided strings via runtime base64 decode expressions, not raw literals" in {
-    val out = PythonCodegenBase.render(makeCtx(), StubCodegen)
+    val out = HuggingFaceCodegenBase.render(makeCtx(), StubCodegen)
     // Every user-supplied string field open() assigns is set through the safe
     // decode helper. This covers all EncodableString context fields, including
     // the result/task and per-task (image/audio/context/labels/sentences)
@@ -125,7 +126,7 @@ class PythonCodegenBaseSpec extends AnyFlatSpec with Matchers {
   it should "never leak raw user-provided string values into the generated source" in {
     // Sentinels contain underscores, which base64 output cannot contain, so a
     // literal match here can only mean the raw value leaked past the encoder.
-    val out = PythonCodegenBase.render(
+    val out = HuggingFaceCodegenBase.render(
       makeCtx(
         hfApiToken = "MARKER_TOKEN_zXyq42",
         modelId = "MARKER_MODEL_zXyq42",

frontend/src/app/workspace/component/hugging-face-image-upload/hugging-face-image-upload.component.ts

@@ -22,7 +22,7 @@ import { CommonModule } from "@angular/common";
 import { FieldType, FieldTypeConfig } from "@ngx-formly/core";
 import { NzButtonModule } from "ng-zorro-antd/button";
 
-// Keep in sync with PythonCodegenBase._compress_image_bytes(max_bytes) on the backend:
+// Keep in sync with HuggingFaceCodegenBase._compress_image_bytes(max_bytes) on the backend:
 // the uploaded data URL must stay within the size the inference helpers expect.
 const MAX_DATA_URL_LENGTH = 45000;
 const INITIAL_MAX_DIMENSION = 512;