fix(gooddata-eval): stop transient gen-ai faults from being scored as content failures - #1793
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fix(gooddata-eval): stop transient gen-ai faults from being scored as content failures#1793Tomkess wants to merge 6 commits into
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…g validation
When `create_adhoc_visualization` fails (e.g. the data source is unreachable),
`_build_chat_result` falls back to the agent's raw tool-call arguments so the
turn can still be scored on the visualization the agent *intended*. But those
arguments describe a definition, not a persisted object, so they carry no `id`
-- and `CreatedVisualization.id` is required with no default.
The result is that the fallback path could never validate. Every turn that
reached it raised
ValidationError: 1 validation error for ChatResult
createdVisualizations.objects.0.id
Field required
and was recorded as a hard error, which is precisely the outcome the fallback
was added to prevent: a stalled data source scored as an agent content failure.
Observed on 10 of 56 runs in one recent visualization eval batch.
Synthesize a sentinel id on the fallback path only. An `id` present in the
arguments still wins.
Both existing fallback tests hand-wrote an `id` into the tool arguments, which
real agent calls do not have -- so CI passed while production failed 100% of
the time this path was taken. The added test uses realistic arguments and fails
against the unfixed parser with the exact error above.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthroughThe evaluation package now retries HTTP 500 responses, resolves supported relative date filters against a shared date anchor, preserves literal WEEK comparison, and adds regression coverage for SSE parsing and visualization filter reporting. ChangesSSE handling
Date filter scoring
Priority: ⬇️ Low Estimated code review effort: 3 (Moderate) | ~20 minutes Suggested reviewers: Merge Risk: ⚪ Minimal · up to This updates retry handling and date-filter evaluation so transient failures are retried and relative date filters are scored and reported consistently. The covered changes are ready to merge. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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…ng the run `_RETRYABLE_STATUS_CODES` omitted 500, so a mid-stream `statusCode: 500` from gen-ai raised a terminal `ChatError` with zero retry attempts -- the same shape as the `RemoteProtocolError` gap already documented just below it. Evidence that these are transient rather than deterministic server bugs: in one visualization eval batch, 10 of 56 runs died this way, and *every* affected question scored normally when the same question/model ran again the next day. Not one reproduced. A genuinely deterministic 500 still terminates the run, just after the bounded backoff (`GOODDATA_EVAL_CHAT_MAX_RETRIES`, default 5) rather than immediately. Two existing tests used 500 as a generic "hard error" code. Since 500 now raises `TransientChatError` -- a `ChatError` subclass -- they would still have passed while no longer testing the terminal path they were written for, so they move to 400. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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…alent The agent may express "last month" either relatively (`granularity: MONTH, from: -1, to: -1`) or absolutely (`from: 2026-08-01, to: 2026-08-31`). `_normalize_date_filter` passed `from`/`to`/`granularity` straight through, so the two encodings could never compare equal -- a correct answer in whichever encoding the fixture did not happen to use was scored as a wrong date period. Both forms now resolve to the inclusive absolute span they denote, for DAY, MONTH, QUARTER and YEAR. The WEEK family deliberately falls back to literal comparison: its start-of-week convention varies (WEEK vs WEEK_US), and guessing would trade a false negative for a false positive. Resolution uses a single `today` anchor threaded through `check_filters`, so both sides resolve against the same date even if a run straddles midnight. Note this changes the rendering of `detail.expected_filters` / `actual_filters` for resolvable granularities: an entry now carries an absolute `from`/`to` and no `granularity` key. That is also more legible when diagnosing a date-score failure, which is what those fields exist for. Verified against a real eval batch: two runs scored as date-period failures are correctly matches. Genuinely different windows still fail -- an absolute range spanning two months does not match a one-month relative filter, and an off-by-one day count still differs. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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In `@packages/gooddata-eval/src/gooddata_eval/core/scoring.py`:
- Line 135: Update _absolute_span to catch ValueError and OverflowError from
invalid or overflowing YEAR, DAY, MONTH, and QUARTER offset calculations,
returning None so check_filters uses the existing literal fallback.
- Line 263: Update the visualization evaluator to capture a single date anchor
and pass that same value to check_filters and both normalized_filters calls for
expected and actual visualizations, ensuring comparison results and
result.detail use identical periods.
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packages/gooddata-eval/src/gooddata_eval/core/chat/sse_client.pypackages/gooddata-eval/src/gooddata_eval/core/scoring.pypackages/gooddata-eval/tests/test_scoring.pypackages/gooddata-eval/tests/test_sse_client.pypackages/gooddata-eval/tests/test_visualization_evaluator.py
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WEEK_US names a Sunday-start week, so unlike a bare WEEK it can be resolved to an absolute span without guessing a convention -- and a bare WEEK is not in the AAC granularity enum at all (the convertor rewrites WEEK_US to AFM's WEEK). Without this, a fixture pinned to WEEK_US could never match an agent that answered the same period absolutely. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
…ring anchor Two defects in relative-date scoring, both found in review of this PR. An offset far enough out to leave the representable date range raised out of _absolute_span instead of resolving. Every granularity can be pushed past it: a YEAR offset of -today.year lands on year 0, large DAY/WEEK_US offsets exceed timedelta's magnitude limit, and large MONTH/QUARTER offsets leave 1..9999. The exception escaped through _normalize_date_filter and check_filters, failing the whole item over one malformed filter. It now resolves to None, putting the filter back on the literal-comparison path an unresolvable span already takes. Separately, check_filters shared one anchor across its two sides, but the evaluator resolved the filters it reports through separate normalized_filters calls, each taking its own date.today(). A run straddling midnight could report periods the verdict was never computed from -- a detail contradicting its own score. The anchor is now captured once in _evaluate_visualization and passed to check_filters and both normalized_filters calls; _evaluate_against_candidates captures one too, so candidates are never ranked on spans from different days. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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Two independent defects in
sse_client.py, both with the same consequence: a transient infrastructure fault is recorded as a hard eval failure. Together they accounted for 20 of 56 runs (36%) in one recent visualization eval batch (vis_agentic+visualization, Boozt workspace) — those runs produced no score at all.1. The adhoc-visualization fallback could never validate
When
create_adhoc_visualizationfails (e.g. the data source is unreachable),_build_chat_resultfalls back to the agent's raw tool-call arguments so the turn can still be scored on the visualization the agent intended.Those arguments describe a definition, not a persisted object, so they carry no
id— butCreatedVisualization.idis required with no default. Every turn reaching this path raised:…which is precisely the outcome the fallback exists to prevent: a stalled data source scored as an agent content failure. 10 of 56 runs.
Fix: synthesize a sentinel id on the fallback path only. An
idpresent in the arguments still wins.Why CI didn't catch it: both existing fallback tests hand-write an
idinto the tool arguments. Real agent calls do not — so CI passed while this path failed 100% of the time in production. The added test uses realistic arguments and fails against the unfixed parser with the exact error above.2. Mid-stream 500s were not retryable
_RETRYABLE_STATUS_CODESomitted 500, so astatusCode: 500raised a terminalChatErrorwith zero retry attempts — the same gap theRemoteProtocolErrorcomment right below it already documents.Evidence these are transient, not deterministic server bugs: 10 of 56 runs died this way, and every affected question scored normally when the same question/model ran again the next day. None reproduced.
A genuinely deterministic 500 still terminates, just after the bounded backoff (
GOODDATA_EVAL_CHAT_MAX_RETRIES, default 5) rather than immediately.Two existing tests used 500 as a generic "hard error" code. Since
TransientChatErrorsubclassesChatErrorthey would have kept passing while no longer testing the terminal path they were written for, so they move to 400.Verification
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