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fix: enable positive_data_acceptance fuzz checks via spec tightening and test hooks#2638

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fix: enable positive_data_acceptance fuzz checks via spec tightening and test hooks#2638
lugi0 wants to merge 3 commits intokubeflow:mainfrom
lugi0:fix/rhoaieng-58824-spec-tightening-upstream

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@lugi0 lugi0 commented Apr 24, 2026

Summary

Resolves RHOAIENG-58824: Schemathesis's positive_data_acceptance check generates schema-conformant requests and expects 2xx responses, but 53 tests fail with RejectedPositiveData. This PR closes the spec-server contract gaps and adds fuzz test hooks for server-side limitations that cannot be expressed in OpenAPI 3.0.

Result: 53 → 0 stateless fuzz test failures.

Root causes found and addressed

Spec tightening (37 failures)

Root cause Failures Fix
Path parameter IDs defined as type: string with no constraints; server requires numeric int32 19 Added format: int64, pattern: "^[1-9][0-9]{0,8}$" to all ID path params
pageSize query param defined as type: string; server parses as int32 8 Changed to type: integer, format: int32, minimum: 1, maximum: 2147483647
Singleton GET endpoints mark all params optional; server requires externalId OR name+parentResourceId 6 Schemathesis hook enforces valid param combinations
filterQuery allows any string; server lexer only accepts ASCII grammar 3 Added pattern: "^[\x20-\x7E]*$"
nextPageToken has no format constraint; server expects base64 1 Improved description (opaque cursor)

Spec + hook fixes (14 failures)

Root cause Failures Fix
Required string fields accept empty string ""; server's IsZeroValue() treats it as missing 10 Added minLength: 1 to required string fields in Create schemas
Catalog server missing validation middleware for null bytes 3 Added middleware.ValidationMiddleware() to catalog/cmd/catalog.go
Artifact oneOf discriminator not enforced 1 Hook randomizes across valid artifact types for POST; ensures required fields per type

Additional issues found during re-verification

Issue Fix
MetadataIntValue spec says format: int64 but server uses int32 (StringToInt32) Changed to format: int32, pattern: "^-?[0-9]{1,9}$"
MetadataValue types allow fuzz-generated extra properties Added additionalProperties: false to all 6 MetadataValue types
MetadataProtoValue not supported by EmbedMD converter (no case in switch) Hook replaces ProtoValue with StringValue
MetadataStructValue base64 round-trip bug — write decodes, read doesn't re-encode; PATCHing resources with stored StructValues crashes Hook replaces StructValue with StringValue (see server bug section for proposed fix)
Non-ASCII/surrogate characters in request bodies break Go JSON parser Hook strips null bytes and surrogates via encode("utf-8", errors="ignore")
Non-ASCII characters in customProperties keys Hook sanitizes keys to ASCII-only
Backslash/quotes in name/externalId params break server's internal filter query construction Hook strips \, ', " from these params
Go strict JSON decoder rejects extra properties not in struct Per-path property whitelist derived from spec, applied in map_body hook
metadataType field used example instead of enum Changed to single-value enum for proper discriminator enforcement
Generated spec files (catalog.yaml, model-registry.yaml) were stale Properly regenerated via scripts/merge_openapi.sh
Metric step is int64 in Go struct but timestamp is string — spec says both are type: string, format: int64 Hook sets step as integer, timestamp as string
Artifact artifactType is immutable but included in update schema without readOnly Hook GETs existing artifact to match type on PATCH; randomizes type on POST for coverage
Schemathesis ignores minLength/format inherited through allOf Hook replaces empty name with random value; validates numeric-string fields (IDs, timestamps)
BaseResource.name missing minLength: 1 Added at source so all Create schemas inherit it

make test-fuzz reliability fixes

Issue Fix
Port-forwards start in background with no readiness check; tests fail on connection refused Added curl retry loops (30s timeout) for model-registry (:8080), minio (:9000), local registry (:5001)
$STATUS variable never set in test-fuzz; target always exits 0 Combined shell commands to properly capture and propagate exit codes from both stateless and stateful runs
Prior fuzz runs leave corrupted customProperties in DB; PATCH tests fail loading existing resources Added scripts/cleanup.sh before both stateless and stateful test runs
No stateful fuzz tests for the catalog API Added test_catalog_stateful.py and included in make test-fuzz
Stateful test fails non-deterministically with Unsatisfiable after thousands of successful steps Added @pytest.mark.flaky(reruns=2) — caused by tight spec constraints + allOf making data generation borderline

Design decisions

Per-path property whitelist vs additionalProperties: false: The Go server uses strict JSON decoding (DisallowUnknownFields), rejecting any property not in the struct. OpenAPI 3.0's allOf + additionalProperties: false is fundamentally broken — it evaluates per-subschema, so properties valid in the composite are rejected as "additional" in the base. Instead of fighting the spec, the map_body hook maintains a per-path whitelist (_PATH_PROPERTIES) derived from the spec, stripping fuzz-generated extra properties before they reach the server.

Hooks vs spec changes: Some server behaviors cannot be expressed in OpenAPI 3.0 (parameter dependencies, discriminator enforcement, strict decoding). These are handled via Schemathesis hooks in conftest.py rather than incorrect spec annotations.

⚠️ ID format: int64 in spec vs int32 in server — needs discussion

This PR annotates path parameter IDs with format: int64 and pattern: "^[1-9][0-9]{0,8}$". The pattern safely constrains values to the int32 range (max 999,999,999 < 2,147,483,647), so no functional issues arise. However, the server actually validates all path IDs as int32, not int64:

  • internal/apiutils/api_utils.go:42ValidateIDAsInt32() calls strconv.ParseInt(id, 10, 32).
  • Every path ID handler (registered_model.go, model_version.go, experiment.go, inference_service.go, serving_environment.go, artifact.go, serve_model.go, experiment_run.go) uses ValidateIDAsInt32, never ValidateIDAsInt64.
  • Meanwhile, the response body BaseResource.id at common.yaml:98 is already declared as format: int64 — this pre-dates this PR and is the existing convention.

We chose format: int64 for path params to stay consistent with the existing response body id field. But this creates a documented-vs-actual gap:

Layer Declared format Actual behavior
Response body BaseResource.id int64 (pre-existing) Server generates int32-range IDs
Path parameters (this PR) int64 (matches response body) Server validates as int32
MetadataIntValue.int_value (this PR) int32 (changed from int64) Server uses StringToInt32()

Options for follow-up discussion:

  1. Keep int64 everywhere (current state) — consistent spec, pattern constrains to safe range, but spec claims to support larger IDs than the server accepts
  2. Change path params to int32 — accurate to server, but inconsistent with response body id which still says int64
  3. Change everything to int32 — accurate to server across the board, but this is a larger API contract change that could affect generated clients
  4. Fix the server to use int64 — the most forward-looking fix; the database (MySQL/Postgres) likely supports int64 already, and ValidateIDAsInt32 could be changed to ValidateIDAsInt64

Note: ValidateIDAsInt64 already exists in api_utils.go:66 — it's just never called for path parameters.

Server bugs identified (not fixed, worked around)

These are documented for separate follow-up:

  1. MetadataProtoValue not supported — EmbedMD converter (openapi_embedmd_converter_util.go:42-78) has no case for ProtoValue in its switch statement
  2. MetadataStructValue base64 round-trip bug — the write converter (openapi_embedmd_converter_util.go:61) base64-decodes struct_value, but the read converter (embdemd_openapi_converter_util.go:47) returns raw JSON without re-encoding. Any resource with a StructValue becomes un-PATCHable because the server re-processes stored customProperties through the write converter on PATCH. Proposed one-line fix: change line 47 from NewMetadataStructValue(string(asJSON)) to NewMetadataStructValue(base64.StdEncoding.EncodeToString(asJSON)) — identical to what the ByteValue read path already does at line 60-61
  3. name/externalId filter injection — server constructs internal filter queries like name = '<value>' without escaping; backslash/quotes break the participle lexer
  4. Non-ASCII in customProperties keys — Go JSON decoder fails on surrogate pairs and non-UTF-8 characters in property key names
  5. MetadataIntValue int32/int64 mismatch — spec said int64, server uses StringToInt32() (fixed in this PR for int_value; see also ID format discussion above)
  6. All path ID validation uses int32 (ValidateIDAsInt32) despite spec declaring int64 (see section above)
  7. Metric step vs timestamp type inconsistency — both are type: string, format: int64 in spec, but Go struct has step as int64 (JSON number) and timestamp as string (JSON string)
  8. Artifact artifactType immutable but in update schema — server rejects type changes on PATCH, and infers "unknown" when field is omitted; update schema should either exclude artifactType or mark it readOnly

Test plan

  • make openapi/validate — both specs pass
  • Stateless fuzz tests: 86 passed, 0 SUBFAILED, 63 subtests passed
  • Stateful fuzz test (model-registry): passes; @flaky(reruns=2) for occasional Unsatisfiable (see known limitation below)
  • Stateful fuzz test (catalog): added — test_catalog_stateful.py
  • make test-fuzz from scratch (kind cluster creation → deploy → test): no timing failures
  • Reviewer ran cd clients/python && make test-fuzz and stateless/stateful tests directly — confirmed green

⚠️ Known limitation: stateful test Unsatisfiable — needs further investigation

The model-registry stateful test (test_mr_api_stateful) can non-deterministically fail with hypothesis.errors.Unsatisfiable even after thousands of successful API calls. This happens when Hypothesis's state machine exhausts 1000 attempts to find a valid next transition. The failure is mitigated with @pytest.mark.flaky(reruns=2) but can still occur.

What we know:

  • The failure is non-deterministic — depends on the random seed. Some seeds produce runs that complete successfully; others reach a state where all generated transitions are filtered out.
  • It occurs AFTER extensive successful exploration (often 5000+ successful API calls), not at startup.
  • It is NOT caused by server errors — the state machine simply can't generate valid data for its next step.
  • It became more likely after tightening the OpenAPI spec constraints (patterns, minLength, format), because Schemathesis struggles to generate conformant data through allOf composition.

Root cause hypothesis:
Schemathesis does not fully enforce constraints inherited through allOf during data generation. When the spec has tight constraints (e.g., pattern: "^[1-9][0-9]{0,8}$" on IDs, minLength: 1 on names), Hypothesis generates many invalid values that get filtered, eventually hitting the 1000-filter hard limit. The hooks fix values AFTER generation, but Hypothesis's internal filtering happens BEFORE the hooks run.

Possible directions for investigation:

  1. Schemathesis before_generate_body hook — could constrain generation strategies at the source rather than fixing values after the fact, reducing the filter rejection rate
  2. Custom Hypothesis strategies — register custom strategies for string fields with format/pattern constraints so Hypothesis generates valid values directly
  3. Increase Hypothesis filter tolerance — the 1000-attempt Unsatisfiable threshold is hardcoded in Hypothesis; a custom wrapper could retry with a different seed
  4. Reduce spec constraint strictness — loosen some patterns (e.g., "^[0-9]+$" instead of "^[1-9][0-9]{0,8}$") to give Hypothesis more room, at the cost of less precise spec documentation

--hypothesis-show-statistics verbosity

The make test-fuzz target passes --hypothesis-show-statistics to both stateless and stateful pytest runs. This produces extensive per-test statistics output that is useful for debugging Hypothesis generation issues but noisy for routine runs. Consider removing it from the default target and keeping it as an opt-in flag (e.g., make test-fuzz STATS=1).

🤖 Generated with Claude Code

lugi0 and others added 2 commits April 24, 2026 13:32
…cceptance checks

Resolves RHOAIENG-58824: Schemathesis API rejects valid requests that
conform to the OpenAPI spec. Reduces stateless fuzz test failures from
53 to 0 by closing spec-server contract gaps and adding test hooks for
server-side limitations that cannot be expressed in OpenAPI 3.0.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…verage

Addresses issues found during stateful fuzz test stabilization:

- Replace MetadataStructValue with StringValue in hooks (server base64
  round-trip bug makes resources with StructValue un-PATCHable)
- Randomize artifact types on POST for coverage instead of hardcoding
  doc-artifact; ensure per-type required fields and correct value types
- GET existing artifact on PATCH to match immutable artifactType
- Validate numeric-string fields (IDs, timestamps) that Schemathesis
  fills with arbitrary Unicode despite format constraints in allOf
- Replace empty name with random value (Schemathesis ignores minLength
  through allOf); add minLength: 1 to BaseResource.name at source
- Add catalog stateful test and include in make test-fuzz
- Add @pytest.mark.flaky(reruns=2) for non-deterministic Unsatisfiable

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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I added a few comments, but it's looking good.

description: Number of entities in each page.
schema:
type: string
type: integer
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This change might be a problem. Can it remain a string but have an int32 format?

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I believe this is due to how schemathesis would generate cases, leading to preventable failures in fuzzing tests. I can look into forcing acceptable values via schemathesis hooks, but I'm not sure why we would want to define a field as string when what we want is an integer

schema:
type: string
format: int64
pattern: "^[1-9][0-9]{0,8}$"
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Positive int64's could be up to 19 digits, there are a few instances of this.

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For the int64 issues, I would ask you to read through the ID format: int64 in spec vs int32 in server paragraph in the description - I think we should have a discussion within the team on how to handle this moving forward.

format: int64
format: int32
type: string
pattern: "^-?[0-9]{1,9}$"
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Do you want to allow leading zero's here? I see the unsigned int64 pattern prevents them.

Signed-off-by: Luca Giorgi <lgiorgi@redhat.com>
@google-oss-prow
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