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feat: scenarios for type mismatch across the value types - #393

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@aepfli aepfli commented Sep 11, 2026

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Nothing in the provider harness checks that asking for a flag through the wrong accessor is refused. The evaluator harness checks one row — wrong-flag as an integer — and that is the whole of it across both suites.

A coerced value is the worst failure mode a flag has: the application receives something plausible and no signal that anything went wrong. This is worth asking about directly rather than assuming, because it is not hypothetical.

coverage before after
gherkin/ (provider harness) none new errors.feature, 11 rows
evaluator/gherkin/errors.feature 1 row +9 rows

No new flags. Every key used here is already in flags/ and in evaluator/flags/testkit-flags.json, so this is scenarios-only and cannot disturb any existing test.

The two rows that motivated it

Requesting boolean-flag as a Float through openfeature-flagd-core returns 1.0 with reason STATIC and no error code — open-feature/python-sdk-contrib#417, filed today. The same quirk in the Integer direction was open-feature/python-sdk#619, fixed by open-feature/python-sdk#621.

Both exist because Python's bool is a subclass of int, so isinstance(True, int) is True and a naive check admits a boolean. That is exactly the kind of thing one language gets wrong while the others cannot: Go's bool is not an int, Java's Boolean is not a Number, and TypeScript distinguishes them.

The rest of the matrix is here because a matrix with holes in it invites the same surprise somewhere else.

Compatibility — please read before merging

Expect boolean-flag as a Float to fail for Python in both harnesses, until open-feature/python-sdk-contrib#417 is fixed. That is the finding rather than a side effect, but it is a real impact on a downstream suite and it is your call how to land it.

The provider-harness feature carries @type-mismatch at the feature level, so an implementation that cannot pass it yet can exclude the file and migrate incrementally — which is what the tagging scheme in the README is for. Everything else is expected to pass: these same assertions already pass against flagd in Go, Java and JavaScript through the OpenFeature provider conformance suite.

Numeric coercion is deliberately absent

No integer/float row. Whether 0.5 may be narrowed to an integer is unsettled in the specification (open-feature/spec#430), and flagd's own numeric coercion ADR permits coercion when it is lossless — so such a row would assert a rule that does not exist yet.

"Is a string a boolean?" needs no such defence. That is the same line the OpenFeature provider conformance suite draws in its own version of this matrix (open-feature/spec#423), and the assertions here are deliberately a subset of that one rather than a new rule invented in this repository.

Verification

npm run gherkin-lint, which is what CI runs: clean. It caught one violation on the first attempt (no-background-only-scenario — a Background is not allowed when a feature has a single scenario), fixed by inlining those two steps into the outline.

Related

Nothing in the provider harness checks that asking for a flag through the wrong
accessor is refused. The evaluator harness checks one row -- wrong-flag as an
integer -- and that is the whole of it across both suites.

A coerced value is the worst failure mode a flag has: the application receives
something plausible and no signal that anything went wrong. Worth asking about
directly rather than assuming, because it is not hypothetical. Requesting
boolean-flag as a Float through openfeature-flagd-core returns 1.0 with reason
STATIC and no error code, and it went unnoticed until a suite asked
(open-feature/python-sdk-contrib#417). The same quirk in the integer direction
was open-feature/python-sdk#619. Both exist because Python's bool is a subclass
of int, so isinstance(True, int) is True and a naive check admits a boolean --
which is exactly the kind of thing one language gets wrong and the others do not.

So the two boolean-to-number rows are the point of this, and the rest of the
matrix is here because a matrix with holes in it invites the same surprise
somewhere else.

Numeric coercion is deliberately absent. Whether 0.5 may be narrowed to an
integer is unsettled in the specification (open-feature/spec#430), and flagd's
own ADR permits coercion when it is lossless, so an integer/float row would
assert a rule that does not exist yet. "Is a string a boolean?" needs no such
defence, which is the line the OpenFeature provider conformance suite draws in
the same matrix (open-feature/spec#423).

No new flags: every key used here is already in flags/ and in
evaluator/flags/testkit-flags.json.

The provider-harness feature is tagged @type-mismatch at the feature level so an
implementation that cannot pass it yet can exclude the file and migrate, which is
what the tagging scheme in the README is for.

Signed-off-by: Simon Schrottner <simon.schrottner@flagsmith.com>
@aepfli
aepfli requested a review from a team as a code owner September 11, 2026 12:34
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coderabbitai Bot commented Sep 11, 2026

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📝 Walkthrough

Walkthrough

The changes add Gherkin coverage for flag type mismatches. Scenarios verify that incompatible accessors return the configured fallback and report TYPE_MISMATCH.

Changes

Type mismatch coverage

Layer / File(s) Summary
Type mismatch scenarios
gherkin/errors.feature, evaluator/gherkin/errors.feature
Scenario outlines cover incompatible boolean, string, integer, and float accessors. The scenarios assert fallback values and the TYPE_MISMATCH error code.

Priority: ⬇️ Low

Estimated code review effort: 2 (Simple) | ~10 minutes

Change: Other

Suggested reviewers: bacherfl

Merge Risk: 🔵 Low · up to de2dd

The new evaluator scenarios do not verify that a float requested as a string returns the fallback and TYPE_MISMATCH. Add this case before merge to prevent an unchecked coercion regression.

🚥 Pre-merge checks | ✅ 5
✅ Passed checks (5 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies the main change: adding scenarios for type mismatches across value types. It is concise and specific.
Description check ✅ Passed The description directly explains the added type-mismatch scenarios, expected behavior, compatibility considerations, scope, and verification results.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff. Analyzed 0 functions across 0…
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

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Actionable comments posted: 1

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Inline comments:
In `@evaluator/gherkin/errors.feature`:
- Line 48: Add a String accessor test row for the existing float-flag case in
the relevant Gherkin scenario, expecting TYPE_MISMATCH when the Float value is
coerced to a string; preserve the existing Boolean row.

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Comment thread evaluator/gherkin/errors.feature
The evaluator suite's matrix had three holes the provider suite does not:
boolean-flag as String, string-flag as Float, and float-flag as String.
CodeRabbit flagged the last of those; the other two are the same oversight.

"A matrix with holes in it invites the same surprise somewhere else" is the
reason the outline exists at all, so both suites should ask the same questions
of the same flags. They now do -- the two row sets are identical.

Renames the first Examples block from "requested as a number" to "requested as
something else", since it is no longer only numbers. The comment about Python's
bool being a subclass of int still applies to the two numeric rows and now says
so.

No new flags: boolean-flag, string-flag and float-flag are all already in
evaluator/flags/testkit-flags.json.

Signed-off-by: Simon Schrottner <simon.schrottner@flagsmith.com>
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