feat(submission): Enhance input handling and caching - #285
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📝 WalkthroughWalkthroughThe change adds submission metadata and preview limits, caches submission inputs, joins inputs to assessment results by ChangesAssessment results input integration
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Feature · Severity of issue fixed: Medium Sequence Diagram(s)sequenceDiagram
participant RunRowActions
participant loadSubmissionInputs
participant submissionCache
participant AssessmentDataSource
participant useRunResults
RunRowActions->>loadSubmissionInputs: prefetch on hover or focus
loadSubmissionInputs->>submissionCache: read cached inputs
loadSubmissionInputs->>AssessmentDataSource: request submission preview when needed
AssessmentDataSource-->>loadSubmissionInputs: return preview rows
loadSubmissionInputs->>submissionCache: write converted inputs
useRunResults->>loadSubmissionInputs: load inputs for the run
useRunResults->>useRunResults: join inputs with results and build ordered table
Merge Risk: 🟠 High · up to Assessment results may omit or misattribute source data, particularly for larger runs or after navigating between runs. Resolve these correctness issues before merging. 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
Full details: Linked Issues checkExplanation The PR implements source-row joining, source-first ordering, collision prefixes, and pre-filter row joining in Resolution Support source-row retrieval for runs above 100 rows, such as by returning full source rows, fetching the source file through a signed URL, or increasing the endpoint limit. Ensure the results sheet and CSV include source columns for 1,000-row runs and opening any run does not produce a ✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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The dataset endpoint caps `limit_rows` at 100 and returns 422 above it, so asking for the full row count lost the source columns entirely. Request the run's row count clamped to the cap, and drop the debug logging that went out with the previous commit. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Mirroring the server's `limit_rows` cap in the frontend meant raising it would take a PR in each repo. Request exactly the run's row count instead, so the endpoint's own limit is the only one. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Ayush8923
approved these changes
Sep 21, 2026
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| * own rows are fetched alongside and joined on `row_index`. That fetch is | ||
| * deliberately off the critical path: the grid paints on results alone and the | ||
| * source columns appear when they land, so a slow or failed submission read | ||
| * costs nothing but the extra columns. |
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this comment too much long, so make this simple and bit understandble quickly.
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| /** The dataset endpoint's `limit_rows` is capped at 100 server-side and 422s | ||
| * above it, so a run with more rows than this joins none of its source columns. */ |
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| /** | ||
| * Joins a run's original submission rows onto its flattened results, and fixes | ||
| * the column order the grid renders. | ||
| * | ||
| * Two problems this solves. The run payload only echoes the columns the config | ||
| * mapped, so unmapped source columns never reach the results sheet. And the | ||
| * column order is a first-seen union across rows, so it shifts whenever the | ||
| * model emits output keys in a different order or an early row is a pre-filter | ||
| * placeholder carrying no assessment keys at all. | ||
| * | ||
| * No React, no network. | ||
| */ |
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| /** | ||
| * Original columns first, then everything the run produced. A result key that | ||
| * collides with a source column keeps both, the result copy prefixed — the same | ||
| * convention `flattenBatchRow` already uses for output/input collisions. | ||
| */ |
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| /** | ||
| * Puts the known columns in the declared order and leaves the rest where they | ||
| * were found. Without this the header order is a first-seen union across rows, | ||
| * so it shifts whenever the model reorders its output keys or an early row is a | ||
| * pre-filter placeholder with no assessment keys. | ||
| */ |
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| /** | ||
| * Caches a submission's rows so opening a run's results is snappy. | ||
| * | ||
| * A submission file never changes — re-uploading mints a new id — so entries | ||
| * need no TTL and no invalidation. Memory serves the same tab; IndexedDB | ||
| * survives a reload. Deliberately not localStorage: a thousand rows of source | ||
| * text would evict the spreadsheet snapshots that already compete for the ~5MB | ||
| * origin budget. | ||
| * | ||
| * Every path degrades to a miss, so a blocked or absent store only costs a refetch. | ||
| */ |
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Inline comments:
In `@app/hooks/useRunResults.ts`:
- Around line 91-92: Update the hook’s asynchronous loading and state handling
around setSubmissionId, setConfig, getRunResults, mergeSubmissionInputs, and
column-order construction so all inputs and outputSchema state is scoped to the
current ResultsTarget: clear or owner-key inputs by submissionId, owner-key the
schema by config ID and version, and guard completions with a target identity
rather than the shared cancelledRef alone. Only merge submission rows or build
columns when the stored owner matches the current payload, preventing stale
results, inputs, and schema from a previous target from being applied.
In `@app/lib/assessment/inputJoin.ts`:
- Line 84: Update the result-key generation in the input-join mapping around the
assignment to merged so the assessment-prefixed key is resolved uniquely against
all source headers, preserving source values such as score and assessment_score.
Reuse that resolved key when buildColumnOrder ranks prefilter and schema output
columns.
In `@app/lib/assessment/submissionInputs.ts`:
- Line 25: Update the submission preview retrieval around getSubmissionPreview
so requests remain within the endpoint’s supported row limit while still loading
all expectedRows, using backend pagination or an approved higher-limit
mechanism. Preserve the hook and hover-prefetch behavior and ensure source
columns render for submissions exceeding 100 rows.
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app/components/assessment/home/RunRowActions.tsxapp/hooks/useRunResults.tsapp/lib/assessment/api/runs.tsapp/lib/assessment/api/submissions.tsapp/lib/assessment/apiSource.tsapp/lib/assessment/inputJoin.tsapp/lib/assessment/results.tsapp/lib/assessment/submissionCache.tsapp/lib/assessment/submissionInputs.tsapp/lib/types/assessment/batch.tsapp/lib/types/assessment/dataSource.ts
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Switching runs reset the cancelled flag, so an in-flight fetch for the previous target passed the guard and wrote its payload over the new one. The joined inputs and output schema outlived the switch too, colouring the next run's sheet. Key the target, own the inputs by submission and the schema by config version, and apply each only while it still matches. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Issue
Closes #286
Summary
The assessment results sheet showed only what a run produced — the submission's own columns were absent, so a reviewer could not see the input behind a score. Column order also shifted between runs.
row_index, source columns first. A result key colliding with a source column keeps both, the result copy prefixedassessment_— the conventionflattenBatchRowalready used for output/input collisions. Row numbering is detected from the lowestrow_indexpresent, so 0- and 1-based payloads both line up.output_schemaorder. Previously the header row was a first-seen union across rows, so it reshuffled whenever the model emitted output keys in a different order, or when an early row was a pre-filter placeholder carrying no assessment keys. Unknown keys keep their discovered order at the end.submission_id. Submissions are immutable — re-uploading mints a new id — so entries need no TTL. IndexedDB rather thanlocalStoragedeliberately: a thousand rows of source text would evict the spreadsheet snapshots already competing for the ~5MB origin budget, silently losing users' sheet edits. Every cache path degrades to a miss, so a blocked store only costs a refetch.Known limitation
Only runs of 100 rows or fewer join their source columns today. The dataset endpoint validates
limit_rowswithle=100and returns422above it.The frontend deliberately adds no cap of its own — it asks for exactly the run's row count and lets the endpoint own the ceiling, so raising
le=server-side is all it takes to serve larger runs, with no second PR here. Until then a larger run 422s and degrades to the output-only sheet it shows today: no error surfaced, no regression. #286 tracks it.Checklist
Before submitting a pull request, please ensure that you mark these task.
npm run devandnpm run buildin the repository root and test.Notes
Verified against a real run: source columns appear, and
output_schemaordering holds. Not yet verified above 100 rows — that path is blocked on #286.Two things worth a reviewer's eye:
row_indexis assumed to index the original file and to stay dense once pre-filter placeholders are counted. Worth confirming against a run with rejections.output_schema, column order stays stable but stops matching emission order.Unrelated to this PR, but found while tracing the join and left alone:
useRunResultsnever retries a failed first load —statusstaysnull, soisPollingisfalseand no interval is scheduled — and polling stops the instant status goes terminal even ifitemsis still short. The second looks like the cause of results not appearing minutes after a batch completes.Summary by CodeRabbit
New Features
Performance