jason810496 commented on code in PR #70059:
URL: https://github.com/apache/airflow/pull/70059#discussion_r3612734439


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java-sdk/adr/0006-no-lang-sdk-source-display.md:
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+
+# ADR-0006: No Lang-SDK Source Code Display for Mixed-Language (`@task.stub`) 
Dags
+
+## Status
+
+Proposed
+
+> **Note:** This ADR records a *negative* decision. It exists so that future 
feature requests
+> or PRs proposing multi-file / multi-language source display for stub-backed 
Dags can be
+> pointed here instead of re-litigating the design. Tracked operationally in
+> [apache/airflow#67260](https://github.com/apache/airflow/issues/67260), 
which is closed as
+> won't-fix referencing this document.
+
+## Context
+
+Per [AIP-108](https://cwiki.apache.org/confluence/x/pY4mGQ), Java tasks are 
declared as
+`@task.stub` operators in ordinary Python Dag files: the Dag is defined in 
Python, while the
+task implementation lives in a Java-SDK build artifact (a JAR) shipped in the 
same bundle. We
+call this a **mixed-language Dag**. This is distinct from pure Java Dags
+([ADR-0003](0003-pure-java-dags.md)), where the Dag itself is defined in Java 
and the
+coordinator extracts the packed `.java` source via the 
`Airflow-Java-SDK-Dag-Code` manifest
+attribute for display — a mechanism that was removed from AIP-108 scope along 
with pure Java
+Dag authoring.
+
+During AIP-108 testing and demos, users asked whether the UI Code view for a
+mixed-language Dag could show the Java-SDK-side source *in addition to* the 
Python file
+containing the stub declarations
+([apache/airflow#67260](https://github.com/apache/airflow/issues/67260)) — for 
example, as a
+second tab next to the Python source.
+
+A design sketch was drafted to make this work by extending the
+[AIP-85](https://cwiki.apache.org/confluence/x/_Q7OEg) `DagImporter` interface:
+
+1. A `StubDagImporter` subclassing the Python importer, which after parsing 
resolves each stub
+   Dag's backing artifact within the bundle and captures its source.
+2. `get_source_code` becoming **per-Dag and multi-file**
+   (`get_source_code(file_path, dag_id, *, bundle_path, bundle_name) -> 
dict[str, DagSource]`),
+   so sibling Dags defined in one Python file do not leak each other's 
artifacts into the
+   Code view.
+3. A schema change allowing **multiple `DagCode` rows per `DagVersion`** — 
dropping the unique
+   constraint on `DagCode.dag_version_id`, adding `source_file_name`, 
`language`, and an
+   entrypoint marker — with artifact digests participating in `dag_hash` so 
that a JAR rebuild
+   produces a new `DagVersion`.
+4. REST API and UI changes: `GET /dagSources/{dag_id}` gaining a file 
dimension, and the Code
+   tab gaining a file tab bar with per-file language instead of the hardcoded 
Python.
+
+After discussion, we decided not to pursue this.
+
+## Decision
+
+**We will not support viewing the Lang-SDK-side source code for mixed-language 
Dags.** For a
+Python Dag containing `@task.stub` tasks backed by a Lang-SDK artifact, the 
Code view shows
+only the Python Dag file — the existing single-source, per-`DagVersion` 
behavior.
+
+Concretely, none of the following is implemented:
+
+- A `StubDagImporter` (or `CrossLangDagImporter`) that resolves and captures 
Lang-SDK artifact
+  source for stub-backed Dags.
+- Per-Dag, multi-file semantics for `get_source_code`.
+- Multiple `DagCode` rows per `DagVersion`, or `source_file_name` / `language` 
/ entrypoint
+  columns on `DagCode`.
+- A file dimension on `GET /dagSources/{dag_id}` or a multi-file Code tab in 
the UI for this
+  use case.
+- Stamping artifact digests onto the serialized Dag model *for the purpose of 
source display*.
+  (Whether artifact digests should participate in Dag versioning for execution 
correctness is
+  a separate question, out of scope here.)
+
+### Why Not
+
+1. **A Dag with stub tasks is not a distinct Dag category.** A stub operator 
is just another
+   operator inside an ordinary Python Dag. A single Dag may soon mix tasks in 
several
+   languages, so there is no principled, bounded set of "the other side's" 
files to display.
+   Designing importer interfaces around a special stub-Dag concept bakes an 
artificial
+   distinction into AIP-85.
+2. **It degenerates into storing a directory tree in `dag_code`.** Showing 
anything genuinely
+   useful for the Java side means more than one file — Java code in particular 
tends to split
+   each task into its own small file/class. Followed to its conclusion, this 
means persisting
+   an entire directory tree in the `dag_code` table, which is not what that 
table is for.
+3. **The source view is already best-effort in pure Python.** Dags produced by 
factory

Review Comment:
   > so the Code view still shows real Python from the bundle that users can 
navigate from.
   
   The detail page also tells the bundle and the `fileloc` as well.
   
   https://airflow.apache.org/docs/apache-airflow/stable/ui.html#details-tab
   
   > With @task.stub the body is just def extract(): ... - there is no 
reference to the artifact/class anywhere 
   
   However, even we support this feature, it only shows the entypoint file of 
Lang-SDK.
   
   For Java-SDK, it only show something like (IMO, showing the entrypoint 
factory doesn't help much. If I'm user, I'd like to see each Dag definition, 
but it's still impossible with the current design mentioned in the ADR that we 
consider. )
   ```java
   package org.apache.airflow.example;
   
   import java.util.List;
   import org.apache.airflow.sdk.*;
   import org.jetbrains.annotations.NotNull;
   
   public class ExampleBundleBuilder implements BundleBuilder {
     @NotNull
     @Override
     public Iterable<Dag> getDags() {
       return List.of(
           InterfaceExampleBuilder.build(),
           AnnotationExampleBuilder.build(),
           XComCastingExampleBuilder.build());
     }
   
     public static void main(String[] args) {
       var bundle = new ExampleBundleBuilder().build();
       Server.create(args).serve(bundle);
     }
   }
   ```
   
   If we're going to show all the `InterfaceExampleBuilder`, 
`AnnotationExampleBuilder` ..., we will list out the directory tree for each 
the Lang-SDK involved in the Dag (don't forget it's valid to have both Python, 
Go, Java, Ts tasks in the same Dag).



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