fix(gcp): select explicitly typed vcpu recommendation amounts - #163
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Reject unknown, missing and ambiguous resource amounts instead of using accelerator quantities or an untyped overview number as vCPUs. Accept decimal integer strings and safe numeric quantities while preserving existing memory aliases and cost-only recommendations. Verify resource ordering and error propagation through the public provider and real SDK against local fixture servers. Closes #80
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. 📝 WalkthroughWalkthroughCompute Engine recommendation conversion now identifies VCPU from typed commitment resource operations and validates the amount. Conversion errors propagate through recommendation listing, which enforces a page cap. Tests cover resource ordering, amount formats, invalid operations, and SDK pagination. ChangesGCP recommendation VCPU parsing
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Bug fix · Severity of issue fixed: Medium Merge Risk: 🟡 Moderate · up to Accounts with 20 or more GCP Compute recommendations, including dismissed ones, would see the whole Compute recommendation call fail instead of returning results. Fix the cap to count SDK pages, or otherwise allow normal completion, before merging. The vCPU parsing changes themselves look sound. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
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Review comments at @providers/gcp/services/computeengine/client.go:
- Line 404: Update the recommendation-fetch loop so maxRecsPages counts SDK page
fetches rather than individual results returned by Next(); keep processing all
recommendations within each permitted page and allow normal iterator completion
at the limit. Add regression coverage for exactly 20 recommendations and for
more than 20 recommendations within the permitted page count.
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Tracked the separately reproduced converter limitations in #164 (string MEMORY amounts) and #165 (cross-resource CPU/memory pairing). Both remain P2 backlog work while actionable P1 issues remain. Their evidence is explicitly synthetic local input; no current live-service incompatibility or wrong cloud purchase is claimed. |
Count SDK page fetches instead of recommendations so buffered items and dismissed rows do not exhaust the page budget. Include empty pages and reject continuation beyond page 20 without returning partial results. Exercise exact item and page boundaries, empty and repeated tokens, cancellation, and API failures through the actual SDK and public provider.
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Addressed the recommendation pagination finding in The baseline already counted individual Local actual-SDK/public-provider verification reproduced the old behavior: 20 and 21 records in one page failed, while 21 empty pages escaped the cap. The updated tests pass those cases, mixed dismissed/active rows, 20-page termination, over-cap responses, empty and repeated-token pages, cancellation, and a later-page permission failure. Original explicit-VCPU SDK scenarios still pass. Full GCP race tests, build, vet, pinned lint, and normal commit hooks passed. SDK tradeoff: The resource payloads remain synthetic generic-contract fixtures. This does not establish current service payload shape or purchase interoperability. Separate memory follow-ups remain #164 and #165. |
An accelerator or Local SSD amount could become the recommended vCPU count because the parser selected the first amount that was not memory. Select explicitly typed VCPU operations instead, accept decimal integer strings and safe numeric quantities, and propagate invalid or ambiguous resource amounts as errors. Remove the untyped overview fallback while preserving cost-only recommendations and existing memory aliases.
Also correct the reviewed recommendation pagination loop: the existing 20-page budget counted items, rejecting even one page containing 20 recommendations. Count server-page fetches in the existing SDK adapter, including empty pages, and reject continuation beyond page 20 without partial results. The SDK InternalFetch hook is unstable; its use is confined to that adapter and protected by actual SDK boundary tests. SDK authentication, retries, and the public iterator interface remain unchanged. Other caps in #52 are outside this change.
Verified through the public GCP provider and real Recommender SDK against local HTTP/gRPC fixtures: the unchanged baseline returned 2 instead of 4 vCPUs; the fix returns 4 across resource permutations and string-quantity cases. The pagination baseline rejected 20/21 items within one page and allowed 21 empty pages. Final tests cover these boundaries, exactly 20 terminal pages, no request 21, dismissed rows, repeated tokens, cancellation, and API errors. Full GCP race tests, build, vet, pinned golangci-lint 2.10.1 and normal hooks passed.
The fixtures exercise the documented generic Operation contract, not a captured Google service response. This change does not establish complete current-service payload support or purchase interoperability. Existing memory limitations are tracked separately in #164 and #165; machine-type parsing remains unchanged.
Independent GPT-6 Astra review approved final commit
40636e7c5f4ad0500d782772c1f00b0f12b653fbwith no actionable findings after re-reading the combined committed diff and freshly passing SDK and focused identity/amount/cancellation race tests. The reviewer independently reproduced both baseline defects. The session authorized this reviewer in place of unavailable Opus 5.5. Required final-SHA CI remains a merge gate.Closes #80
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