fix(gooddata-eval): scope simulated-user pushback to the original request - #1760
fix(gooddata-eval): scope simulated-user pushback to the original request#1760FrankHuynh wants to merge 1 commit into
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Included review availability: 4 reviews are currently available. Your included PR review attempts over the past 7 days set your current allowance at 5 reviews per hour. 📝 WalkthroughWalkthroughThe metric clarification flow now passes the original user question to simulated response generation. The prompt uses the question and expected MAQL to evaluate proposals. The flow logs metric-branch errors with turn details. Tests cover prompt content, call arguments, filter guidance, and error paths. ChangesMetric clarification flow
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This localized change scopes simulated-user responses to the original request and is supported by the supplied passing test results; no actionable merge-blocking risk remains. Suggested reviewers: Poem
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## master #1760 +/- ##
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+ Coverage 80.61% 80.65% +0.03%
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Files 272 272
Lines 19362 19367 +5
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+ Hits 15609 15620 +11
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Addressed all 5 findings from review: P1-1 (clarifying question branch missing) — added an explicit prompt branch: if the assistant is asking a clarifying question (no proposal yet), the simulated user now answers directly from the ground-truth MAQL instead of trivially agreeing. P1-2 (no deterministic no-filter guard) — extracted P2-1 (uncovered call site + silent except) — added a direct unit test for P2-2 (dropped max_tokens assertion) — restored P2-3 (brittle prose assertions) — reduced the new tests' reliance on exact prompt wording; they now mostly check interpolated data (original_question/expected_maql presence) and the independently-testable 468 tests passing (was 464), ruff clean, coverage gap on |
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In `@packages/gooddata-eval/src/gooddata_eval/core/agentic/metric_skill.py`:
- Line 109: Update the MAQL detection around expected_maql so it recognizes only
standalone WHERE clauses, ignoring occurrences inside identifiers and quoted
string literals. Preserve the existing no-filter behavior and add regression
coverage for both an identifier and a string literal containing “where”.
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CodeRabbit finding on PR #1760: _no_filter_hint()'s naive "WHERE" in maql.upper() check false-positives on identifiers/literals that merely contain the substring (e.g. {metric/somewhere_sales}), silently omitting the no-filter hint even though the MAQL has no real WHERE clause. Reuse the existing _PROTECTED_RE (same protected-span rule already used by _casefold_outside_protected) to strip {type/id} identifiers and quoted literals before matching \bWHERE\b. QA-29094
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Inline comments:
In `@packages/gooddata-eval/src/gooddata_eval/core/agentic/metric_skill.py`:
- Around line 112-113: Update _PROTECTED_RE so quoted literals consume escaped
characters without terminating early, ensuring standalone WHERE text inside
literals is excluded from outside_protected and _no_filter_hint() still adds the
no-filter hint. Add a regression test covering an escaped quote followed by
WHERE inside a literal.
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…uest
generate_simulated_response() only saw the assistant's last message and the
ground-truth MAQL, and was instructed to force every clause of that MAQL to
be satisfied "even if the assistant's question doesn't explicitly ask about
it" -- so it would inject filters/constraints the user's original request
never mentioned, even when the assistant's proposal already matched it.
- Thread the original question through (metric_skill.py's
_execute_single_metric_run already has it in scope; conversation.py's
TurnDefinition.message carries the same for multi-turn conversations) and
rewrite the prompt to agree when the original request is already
satisfied, only adding a clause when it's a reasonable reading of that
request -- not an unconditional replay of expected_outputs[0].
- Add an explicit branch for the dominant real case: the assistant asking a
clarifying question with no proposal yet. Without it, the simulated user
could trivially agree ("nothing proposed yet" == "satisfied") and stall
the conversation, burning iterations without ever supplying the agent a
usable answer.
- Replace fuzzy "is this filter a reasonable reading of the request"
judgment with a deterministic _no_filter_hint(): when the ground-truth
MAQL has no WHERE clause, the prompt explicitly tells the simulated user
no filter is needed, closing the exact loophole that caused the bug.
Matches WHERE as a standalone keyword outside {type/id} identifiers and
quoted literals (reusing the existing _PROTECTED_RE / same rule as
_casefold_outside_protected), so a substring like
{metric/somewhere_sales} isn't mistaken for a real clause.
- conversation.py's metric branch (forwards to
metric_skill.generate_simulated_response) had 0% test coverage behind a
bare `except Exception: pass` -- a future signature mismatch would
silently fall through to the generic fallback prompt. Log the exception
and add a direct unit test for the branch.
- Restore the max_tokens >= 300 assertion, and reduce the new tests'
reliance on exact prompt-prose assertions in favor of checking the
interpolated data and the independently-testable _no_filter_hint() output.
Verified locally: ran the full agent_metric_skill (8 cases) and
agent_conversations (10 cases) suites against ecommerce_demo on
tavern-frank-test -- 18/18 passing with this fix.
QA-29094
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henrynguyengooddata
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Two comments on the QA-29094 fix — the direction looks right and the new test coverage (especially test_get_sim_user_response_metric_branch_forwards_the_turn_message) is a solid addition. Both points below are about scope and about the part of the stated root cause that is still open.
| # The quoted-literal alternatives consume \X escape sequences (including an escaped | ||
| # quote) so an escaped quote inside the literal doesn't end the match early and leak | ||
| # the rest of the literal's text as unprotected. | ||
| _PROTECTED_RE = re.compile(r"\{[^}]*\}|\"(?:[^\"\\]|\\.)*\"|'(?:[^'\\]|\\.)*'") |
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This regex change is out of scope for QA-29094 and lands in the scoring path, not in the new hint.
_PROTECTED_RE is shared: _casefold_outside_protected (L54–59) → _normalize_maql (L67) → _best_maql_match (L84) — i.e. the comparator that decides maql_correct. So this edit changes pass/fail semantics for MAQL comparison, while the four new tests only cover _no_filter_hint. There is no test on _normalize_maql for the input the regex was changed for.
Behaviour does diverge. Repro (old vs new regex through _casefold_outside_protected):
IN : SELECT {metric/x} WHERE {label/path} = "C:\" AND {label/y} = "Active"
OLD : select {metric/x} where {label/path} = "C:\" and {label/y} = "Active"
NEW : select {metric/x} where {label/path} = "C:\" AND {label/y} = "active"
^^^ not casefolded ^^^ literal casefolded
The trigger is narrow — a literal ending in an odd run of backslashes — so I'm not claiming this fires often. The concern is that it changes the comparator at all, in a direction we haven't established:
- If MAQL string literals do not support
\escapes (a backslash is just a character), the old regex was right and the new one over-consumes past the closing quote. - If they do, the old regex was wrong and this is a real fix — but then it deserves its own commit, a
_normalize_maqltest, and a note in the ticket.
Right now the PR assumes the second without evidence, and either way the change isn't tested.
Could we do one of these?
- Keep QA-29094 scoped: give
_no_filter_hintits own local regex and leave_PROTECTED_REuntouched. The hint only needs to blank out spans before a\bWHERE\bsearch, so it can afford to be conservative in a way the comparator cannot. - Keep the change, but confirm MAQL's escaping rule (docs or backend parser), add
_normalize_maqlcases for"…\"and'…\', and say so in the PR description so it's reviewed as a comparator change rather than a helper detail.
I'd lean towards (1) for this PR and (2) as a follow-up, so a flaky-test fix can't move the pass/fail line underneath the eval datasets.
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| def generate_simulated_response(agent_message: str, expected_output: dict) -> str: | ||
| def _no_filter_hint(expected_maql: str) -> str: |
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_no_filter_hint only ever sees the first candidate, which can turn QA-29094 into the mirror-image false failure.
_execute_single_metric_run passes primary_expected = expected_outputs[0] (L266 → L313), so both the prompt's ground-truth MAQL and this hint are derived from candidate 0 alone. But _best_maql_match (L84) accepts any candidate, and the ticket's own root cause calls this out:
a single "ground-truth" MAQL (expected_outputs[0], the first of possibly several valid fixture candidates)
So for a fixture whose candidate 0 has no WHERE but candidate 1 does, the simulated user is now told, deterministically:
say no filter is needed
That actively steers the agent away from a candidate the scorer would have accepted. The old bug was "injects a filter nobody asked for"; this is "blocks a filter the fixture allows". Same false maql_correct=0, opposite direction — and harder to spot, because the hint reads as the safe choice.
Suggestion — take the whole candidate list and only emit the hint when none of them filter:
def _no_filter_hint(expected_maqls: list[str]) -> str:
if any(
re.search(r"\bWHERE\b", _PROTECTED_RE.sub(" ", maql), re.IGNORECASE)
for maql in expected_maqls
):
return ""
return " This metric needs no filter. …"That means threading expected_outputs (not just primary_expected) into generate_simulated_response. It's a slightly bigger signature change, but it's the part of the stated root cause the PR currently leaves open, and it's cheaper to do now than after the prompt ships.
Two smaller things while we're here:
- Naming: the function says "no filter" but only matches
\bWHERE\b. Either rename it_no_where_clause_hintor widen the detection — right now the name promises more than the code checks. - Hardcoded example:
"(e.g. cancelled orders, a status, a date range)"lifts the QA-29094 repro domain into a generic helper. Every metric fixture now gets "cancelled orders" in its prompt, which is exactly the kind of nudge we're trying to remove. Suggest dropping the concrete example.
2 participants
Summary
generate_simulated_response()only received the assistant's last message and the ground-truth MAQL, and its prompt forced every clause of that MAQL to be satisfied "even if the assistant's question doesn't explicitly ask about it" — so the simulated user would inject filters/constraints the original request never mentioned, even when the assistant's proposal already matched it._execute_single_metric_runalready hasquestionin scope;conversation.py'sTurnDefinition.messagecarries the same for multi-turnagent_conversations), and rewrote the prompt to agree when the original request is already satisfied, only adding a clause when it's a reasonable reading of that request.Test plan
pytest packages/gooddata-eval/tests/test_agentic_metric_skill.py packages/gooddata-eval/tests/test_agentic_conversation.py -q— 50 passedgooddata-evalsuite — 464 passedruff checkon changed files — clean (3 pre-existing unrelated errors elsewhere in the package, untouched by this change)test_generate_simulated_response_prompt_agrees_when_the_original_request_is_already_satisfied) reproducing the QA-29094 scenario (chatbot proposal already satisfies the original ask → simulated user must agree, not inject a new filter)test_generate_simulated_response_prompt_preserves_maql_fidelityassertions to match the new conditional prompt wording (dropped the now-removed "every clause" unconditional phrase, kept the verbatim/filter-fidelity checks it originally guarded)jira: QA-29094
risk: nonprod
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