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feat(runner): support local page classification models - #2652
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🔵 Needs a closer look
Validate structurally invalid model files so initialization fails as documented.
Review effort: Lite
Findings: None
What changed in this PR
Adds support for selecting locally provisioned dit page-classification models while preserving opt-in behavior and automatic discovery.
Changes:
- Adds
Options.PageTypeModeland-ptm/-page-type-model. - Loads explicit local models without fallback downloads.
- Adds tests and README documentation.
| File | Summary |
|---|---|
runner/runner.go |
Loads configured models; structurally empty JSON models require validation. |
runner/options.go |
Adds the SDK option and CLI flag. |
runner/classifier_test.go |
Tests local-model behavior and error cases. |
README.md |
Documents provisioning and usage. |
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- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
In @runner/runner.go:
- Around line 436-437: Load the explicit PageTypeModel via dit.Load before
deleting response index catalogs or creating runner resources in Runner.New.
Ensure an invalid model returns before those side effects occur.
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📒 Files selected for processing (4)
README.mdrunner/classifier_test.gorunner/options.gorunner/runner.go
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The model validation concern is addressed in 536d1cd. Explicit models now have to complete a page/form classification check before initialization changes output files. Tests cover empty and malformed models, including a corrupt feature that only fails on later input. The startup check can't validate every possible input, so inference panics are also caught per response. That applies to default models too; I've corrected the PR description, which was too broad about unchanged behavior without |
Fixes #2686
Proposed changes
Add
-page-type-model(-ptm) andOptions.PageTypeModelto select a locally provisioned dit model when using-kb,-fpt, or deprecated-fep. This lets environments without Hugging Face access initialize page classification from a copied model file.Related to #2568. This provides a local-model option for the restricted-network use case; it does not bundle the model or change its hosting.
An explicit path bypasses automatic discovery/download. Missing, unreadable, or invalid JSON files fail initialization before output-file setup or runner resource allocation, without falling back to a download. Classification remains opt-in: setting the path alone does not enable it. Without this option, model discovery and downloading are unchanged. The inference panic handler applies to both local and default models: a dependency panic now omits classification for that response instead of terminating the scan. README examples cover provisioning and CLI/SDK usage.
Explicit models also undergo a page/form classification readiness check, including two named fields to exercise an optional field classifier. Dependency errors or panics during loading and this check become initialization errors before output setup. Runtime inference also converts dependency panics into the existing classification-error path, since a sample cannot exercise every input-dependent feature. A failed response has no page-type classification and emits a debug diagnostic; the shared classifier remains unchanged for later responses. This is an operational readiness check, not exhaustive validation of model contents.
Proof
Tests train a tiny local model and verify page/form classification, all three enabling options, explicit-path precedence, missing/invalid JSON models, preservation of existing response/screenshot indexes on loading failure, opt-in behavior, and existing default discovery. Tests require no model download.
Further regression cases cover absent/empty models, missing classes/coefficients/intercepts/vectorizers, malformed optional field models, valid optional field classification, and a corrupt vocabulary entry that passes startup but panics only on a later matching page. The runtime guard contains that failure and subsequent valid inference still works. Tests reproduced initialization acceptance and dependency panics before the fix.
Passed on Windows with
GOMAXPROCS=2:go test -p 2 ./...go vet -p 2 ./...go build -p 2 ./cmd/httpxThe additional Linux focused race run reports an existing rate-limiter initialization race (
runner.Newcopies the active limiter). It also reproduces on untouched upstreamdevusing the existingTestRunner_duplicatetest:GOMAXPROCS=2 go test -p 2 -race ./runner -run TestRunner_duplicate -count=10That independent issue is fixed separately in #2654. With its pointer fix temporarily applied through a Go build overlay, this feature's focused race tests pass for three repetitions:
The overlay changes only limiter initialization/storage and is not part of this feature branch.
Checklist
Summary by CodeRabbit
Summary
New Features
-ptmto specify a local page-classification model when using-kbor-fpt. An explicit path takes precedence over automatic discovery and skips model downloads.-ptmalone does not enable classification.Bug Fixes
-debug.