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fix: close HTTP responses when conversion fails - #2808
Rana Singh (ranadeepsingh) merged 4 commits into
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## Summary Close responses in a finally block when converting HTTP response data. Add a regression that propagates the conversion failure while checking that the response is closed exactly once. ## Prompting Intent Publish the independent response-resource cleanup defect separately from AIPrompt's new opt-in transport behavior. Keep the fix narrow and prove the baseline failure directly. ## Linked Sources - Bug: microsoft#2802 - Scope: microsoft#2759 ## Rationale The existing success-only close skipped cleanup when body conversion threw. A try/finally fixes that path without changing retry accounting, adding response limits or depending on the new native buffering implementation. The regression failed on baseline and passed with the existing response inspection tests. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
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🟢 Approval recommended
No active review issues were identified for the HTTP response-cleanup change.
No open issues 🎉
What changed in this PR
This PR fixes HTTP response cleanup in SynapseML’s core HTTP client so conversion failures do not bypass response closure.
Changes:
- Moves response cleanup into a
finallyblock without changing the conversion logic. - Adds a regression test verifying that a failed body read closes the response exactly once and propagates the original read error.
| File | Description |
|---|---|
| core/src/test/scala/com/microsoft/azure/synapse/ml/io/split1/VerifyResponseBodyInspection.scala | Adds close-counting coverage for response conversion failure. |
| core/src/main/scala/com/microsoft/azure/synapse/ml/io/http/HTTPClients.scala | Ensures response closure after successful or failed conversion. |
Review effort: Balanced
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CI triage: all 114 Vowpal Wabbit tests passed, including independently verified named published results. The failed job is the subsequent coverage publisher's TLS hostname mismatch, tracked in #2812. This is not a product-code failure, but the required publication/CI gate remains blocked. No blind full-build rerun or product workaround was made. |
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Current-head Azure validation is complete for 9f2c4d4: build 244930475 validated its merge with master d3f3af6, and all 65 jobs succeeded. The published VerifyResponseBodyInspection results are 4/4 passed, including the response-conversion cleanup regression. One targeted retry was used for the separately diagnosed Vowpal Wabbit coverage-publication TLS failure; no product tests or assertions were weakened. The publication infrastructure issue remains tracked in #2812. |
## Summary Keep the original response conversion failure when closing the response also fails. Attach a distinct cleanup failure as suppressed, avoid self-suppression, and continue propagating cleanup failures after successful conversion. Make the regression fixtures independent of the response's default locale. ## Prompting Intent Complete validation, reviews, CI, comment resolution, and merge ordering for the AIPrompt prerequisite pull requests. Preserve existing public behavior, prove fixes with regressions, and do not merge any pull request. ## Linked Sources - HTTP response ownership fix: microsoft#2808 - Dependent AIPrompt integration: microsoft#2811 - Preserved review findings and dispositions: reviews/pr-2808/ ## Rationale Unconditional cleanup must not hide the exception that caused conversion to fail. Keeping the same exception instance preserves existing caller behavior; suppressed exceptions retain cleanup diagnostics without duplicate logging. Focused tests cover conversion failure, distinct and identical cleanup failures, and cleanup failure following successful conversion. Java 8 compilation, test compilation, all six response-inspection tests, and both core style checks passed. Integrated Spark port checks also passed. All eighteen reviews in the six-stage pre-commit pass qualified on the same two-file patch. Original superseded feedback and resolutions are retained for archival; current-head CI and the final CI-qualified pass remain pending. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
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## Summary Retain the complete pre-commit and CI-qualified final review sets for the HTTP response cleanup fix. Index superseded reports in their immutable published archive instead of keeping every historical attempt in the final PR diff. ## Prompting Intent Complete missing validation, reviews, CI, and comment resolution for the SynapseML PR stack before describing it as merge-ready. Preserve original feedback and do not merge or enable auto-merge. ## Linked Sources - Pull request: microsoft#2808 - Archived evidence: https://github.com/microsoft/SynapseML/tree/5a756d586411d0fc5bb4f7825c55972c18ee1803/reviews/pr-2808 - Review and retention rules: .github/skills/synapseml-pr-loop/references/review-gauntlet.md and references/loop-control.md ## Rationale All six final rounds completed with clean results from all three required reviewers on the same product patch. This artifact-only publication preserves that fingerprint and avoids recursively reviewing review text. Final-commit CI and remote review remain required; no product code, tests, or dependencies change. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #2808 +/- ##
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Coverage 87.99% 88.00%
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Files 347 347
Lines 21608 21615 +7
Branches 2297 2279 -18
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+ Hits 19015 19022 +7
Misses 2593 2593
🚀 New features to boost your workflow:
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## Summary Remove one trailing-whitespace line from a preserved PR review artifact. No production code, tests, build inputs, or review conclusions change. ## Prompting Intent Make the necessary minor fixes to the reviewed SynapseML PRs, address review feedback, and verify full CI against each final head without merging. ## Linked Sources - PR: microsoft#2808 - Issue: microsoft#2802 - Repository artifact policy: AGENTS.md, Pull requests and CI ## Rationale Keep the numbered review artifacts and their provenance as required by the repository guide while making the complete PR diff whitespace-clean. The verified HTTP response ownership fix and its tests are untouched. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 0e8fdfb7-dcdd-4074-aabb-8634695107f2
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CI triage for head The changed HTTP path did execute: Requested a retry of the failed jobs on the same build and exact source/target, preserving successful job results. No product, test, dependency, or pipeline change was made to work around the agent failure. Full CI remains pending until that retry completes and its named results are checked. |
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Engineering readiness verified for The minor follow-up removed one trailing-whitespace defect only. Required review artifacts and provenance were retained; production and tests are unchanged from the independent ownership/leak evaluation.
Only the required human approval remains. The PR has not been merged. |
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AB#5837660 ## Summary Add a combined persistence regression after integrating the latest master fixes. Verify that an explicitly assigned Spark session is used without promoting default scalar parameters into explicit values. Preserve the historical review archive through rebased links and include the focused integration review. ## Prompting Intent The engineer approved resolving the newly introduced merge conflicts without losing either CU behavior or upstream fixes, validating and reviewing the result, publishing with an explicit force-with-lease, and rerunning CI. ## Linked Sources - Feature PR: microsoft#2815 - Python method extraction: microsoft#2810 - Assigned Spark sessions: microsoft#2809 - Response cleanup: microsoft#2808 - Attachment cancellation: microsoft#2807 - Global parameter synchronization: microsoft#2806 - Integration target: 6c2699d - Focused review: reviews/pr-2815/task-5837660-attempt-10-review-0-harness.md ## Rationale Keep both sides of the code-generation and persistence conflicts rather than choosing one wholesale. A combined public save/load test checks the interaction that independent upstream and CU tests do not explicitly cover. Rebase preserves the six original changes and their messages; all 53 archived report blobs and modes are unchanged. Local validation passed 310 Scala and 73 Python tests, with one existing ignored global-fuzzing test, plus style, compilation, codegen and pinned formatting. New-head CI remains a separate post-publication gate. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 653e4257-0554-408f-9e0e-b23750249edb
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
* feat: add unified AI prompting and native decision model support Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: #2759 - Deferred recovery: #2800 - Deferred live Decisions qualification: #2760 - Global parameter prerequisite: #2806 - Attachment cancellation prerequisite: #2807 - Response cleanup prerequisite: #2808 - Assigned-session prerequisite: #2809 - Python stub prerequisite: #2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * style: format AIPrompt Python regression tests Summary - Apply the pinned Black formatter to the AIPrompt regression suite and its Fabric validation helper. Prompting Intent - Keep the focused AIPrompt pull request limited to required feature work and repairs to its own validation gates. Linked Sources - #2811 - https://github.com/microsoft/SynapseML/actions/runs/42014432464 Rationale - The Python style gate identified formatting in two new test files. - The changes preserve both files' Python ASTs, and the repository's tracked Python files pass Black 22.3.0. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: align AIPrompt coverage count and notebook formatting ## Summary Account for the additional AI test lane in Codecov's expected upload count and apply the pinned notebook formatter to the new AIPrompt tutorial. ## Prompting Intent Repair the deterministic checks introduced by the focused AIPrompt change without changing dependency pins, workflows, release tooling or unrelated notebooks, and preserve the already-executed tutorial behavior. ## Linked Sources - #2759 - #2811 ## Rationale The authorized AI matrix lane raises expected uploads from 54 to 55. Keep the existing coverage-count assertion unchanged and fix its configuration. Black 22.3.0 with Jupyter support changes formatting only: all 18 code-cell ASTs, metadata and markdown remain identical, outputs stay cleared and OpenAIDecisions remains commented. The full CI Black command and the targeted coverage-upload selection test pass locally. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: harden AIPrompt cancellation and compatibility boundaries Integrate reviewed session-persistence, codegen and attachment fixes; retain task kill reasons, transport cancellation, value-codec regressions and the 32 supported notebook examples. Freeze scope, finish running reviews, address blockers, publish and run current-head CI instead of starting additional full review matrices. - #2811 - #2818 - #2819 - #2820 Ensure the integrated public AIPrompt path preserves the same cancellation, persistence and generated-wrapper contracts as the prerequisite fixes. Keep unsupported Decisions examples commented out and existing limitations visible. Do not expand scope to unrelated codegen or connector behavior. Source-scoped qualification covers 511 cognitive and 189 core cases with zero skips, six notebook cases and 33 installed Python cases. Compile, style, codegen, packaging and exact installed artifact provenance are retained. The latest test-only changes passed targeted regressions without altering the qualified runtime artifacts. Existing reviews and dispositions are retained; no additional full matrix is claimed. Fresh CI is still required. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * docs: explain AIPrompt API contracts with a diagram ## Summary Add a shared API-routing diagram to the AIPrompt getting-started notebook and usage guide. Clarify supported parameter mappings, intentional legacy differences, native results and provider availability without changing code. ## Prompting Intent Explain whether AIPrompt supports all five API types and preserves the semantics and parameters of OpenAIPrompt and the native decision stages. Generate an understandable diagram and include it in the PR description and the getting-started notebook. ## Linked Sources - #2811 - #2759 - #2760 - docs/Explore Algorithms/OpenAI/Unified AI prompting.md - cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/ai/AIRequestAdapter.scala - cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/ai/AIPrompt.scala - https://github.com/user-attachments/assets/bfcb52f9-b019-455b-9e23-598a44fae229 ## Rationale Use one GitHub-hosted diagram in the PR, notebook and guide, following the tutorials' hosted-image convention. Combine a generated background with deterministic labels and connectors for precise technical content. Keep the existing runnable examples unchanged and explicitly distinguish Foundry SystemOne from the unsupported Azure OpenAI/Foundry Decisions path. Describe per-API support instead of claiming universal legacy parity. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: route AIPrompt API versions without a version allowlist Summary: - Select the v1 Chat Completions and Responses route with apiVersion. - Forward other version strings in api-version, including for Decisions. - Default OpenAIDecisions to v1 while preserving complete URL overrides. - Cover scalar, per-row and persisted versions and document migration. Prompting Intent: Let callers use v1, preview, dated and future API versions through the existing parameter without library-maintained version restrictions. Linked Sources: - User request to select the v1 URI and forward all other version strings. - #2759 - #2811 Rationale: API version selection belongs to the provider. Reuse the existing ServiceParam and preserve public signatures, legacy stages and URL override behavior instead of introducing a separate routing parameter. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: default AIPrompt chat and responses to v1 Summary: - Default Chat Completions and Responses requests to the v1 route. - Preserve explicit and configured version overrides and embedding defaults. - Cover default routing through copy, save/load and clearing an override. - Update the usage guide and notebook migration notes. Prompting Intent: Keep v1 as the default API version for Chat Completions and Responses, alongside the existing OpenAIDecisions v1 default. Linked Sources: - User request: keep v1 as the default for Chat Completions and Responses. - #2811 - #2759 Rationale: Use the v1 route without requiring a redundant setter. Change only the generative fallback so configured scalar and per-row versions, complete URL overrides, embeddings and legacy OpenAI stages retain their behavior. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: support Foundry Decisions inference Foundry exposes Decisions for supported gpt-6-luna deployments, but the new stages rejected Azure hosts before HTTP and selected bearer-key authentication for every Decisions endpoint. Route Azure resource roots through /openai/v1/decisions, retain api-key authentication for Azure keys, and preserve Entra, proxy, version and complete-URL behavior. Replace obsolete rejection tests with routing and authentication regressions. Add opt-in Chat and Responses live tests, enable the notebook's Foundry Decisions examples, and correct the guide and shared diagram. User intent: correct Foundry support and live-test all four inference APIs. Sources: #2759, #2760, https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/decisions Validation: 215 Scala cases, 33 installed-package Python cases, six notebook tests and four real service tests passed with zero skips. The live tests exercised Chat, Responses, Decisions and SystemOne using six valid stage invocations on existing Sweden Central deployments. Compilation, Scala style, Python formatting, codegen and packaging passed. Loaded JARs and generated Python sources matched the validated build. No new deployments or dependency changes; no full notebook rerun or current-head remote CI pass is claimed. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
AB#5837660 ## Summary Add a combined persistence regression after integrating the latest master fixes. Verify that an explicitly assigned Spark session is used without promoting default scalar parameters into explicit values. Preserve the historical review archive through rebased links and include the focused integration review. ## Prompting Intent The engineer approved resolving the newly introduced merge conflicts without losing either CU behavior or upstream fixes, validating and reviewing the result, publishing with an explicit force-with-lease, and rerunning CI. ## Linked Sources - Feature PR: microsoft#2815 - Python method extraction: microsoft#2810 - Assigned Spark sessions: microsoft#2809 - Response cleanup: microsoft#2808 - Attachment cancellation: microsoft#2807 - Global parameter synchronization: microsoft#2806 - Integration target: 6c2699d - Focused review: reviews/pr-2815/task-5837660-attempt-10-review-0-harness.md ## Rationale Keep both sides of the code-generation and persistence conflicts rather than choosing one wholesale. A combined public save/load test checks the interaction that independent upstream and CU tests do not explicitly cover. Rebase preserves the six original changes and their messages; all 53 archived report blobs and modes are unchanged. Local validation passed 310 Scala and 73 Python tests, with one existing ignored global-fuzzing test, plus style, compilation, codegen and pinned formatting. New-head CI remains a separate post-publication gate. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 653e4257-0554-408f-9e0e-b23750249edb
Failed response conversion can leave HTTP connections open. Cleanup must also preserve the original conversion error rather than replace it with a second failure from closing the response. This change always closes the response and preserves both failures when they occur together.
Related Issues/PRs
Fixes #2802.
Extracted from the scope refinement for #2759. This fix is independent of the native feature and optional recovery work.
What changes are proposed in this pull request?
Close the response in
finally, including when conversion fails. Preserve a conversion failure as the primary exception and attach a distinct cleanup failure as suppressed; still propagate cleanup failure when conversion succeeds. Add focused regressions with locale-independent response fixtures.Retry behavior, buffering, response-size configuration and native inference remain outside this PR.
How is this patch tested?
The source published in
5a756d586411d0fc5bb4f7825c55972c18ee1803was validated in this standalone PR worktree before publication, using the branch-selected Java 8 toolchain:sbt core/compile core/Test/compile— passed.sbt "core/testOnly com.microsoft.azure.synapse.ml.io.split1.VerifyResponseBodyInspection"— 6 passed; zero failed, canceled, ignored or pending.sbt core/scalastyle core/Test/scalastyle— passed, zero errors or warnings.The tests cover conversion failure closing the response, simultaneous conversion/cleanup failure preserving the original error, cleanup failure after successful conversion, and the existing response-inspection behavior. The original missing-close regression failed before the fix; the additional exception-preservation regression also failed before its correction.
The six-stage, three-model pre-commit review is complete, with original reports retained under
reviews/pr-2808/. Current-head Azure validation has been requested; its results, current-head remote review, the separate CI-qualified final review and human approval remain outstanding. This PR is not yet being claimed merge-ready.Does this PR change any dependencies?
Does this PR add a new feature? If so, have you added samples on website?
website/docs/documentationfolder.Make sure you choose the correct class
estimators/transformersand namespace.DocTablepoints to correct API link.npm startto make sure the website renders correctly.<!--pytest-codeblocks:cont-->before each python code blocks to enable auto-tests for python samples.WebsiteSamplesTestsjob pass in the pipeline.