Fix #510: [Model] JobShopScheduling

[GiggleLiu]

Summary

• Add the execution plan for issue [Model] JobShopScheduling #510 ([Model] JobShopScheduling)
• Track the work needed for the model, CLI support, example-db coverage, and paper entry

Fixes #510

[codecov]

Codecov Report

❌ Patch coverage is 98.87640% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 97.81%. Comparing base (704ed6a) to head (adc0139).
⚠️ Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
src/models/misc/job_shop_scheduling.rs	98.10%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #760      +/-   ##
==========================================
- Coverage   97.82%   97.81%   -0.01%     
==========================================
  Files         599      601       +2     
  Lines       66337    66527     +190     
==========================================
+ Hits        64893    65073     +180     
- Misses       1444     1454      +10     

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[GiggleLiu]

Implementation Summary

Changes

• Added JobShopScheduling in src/models/misc/job_shop_scheduling.rs with validation, Lehmer-code machine-order dimensions, schedule reconstruction, and canonical example support.
• Registered the model through the misc/model/prelude exports and extended example-db plus model tests, including brute-force and schedule-specific checks.
• Extended the CLI create flow to support JobShopScheduling with --job-tasks, --deadline, and optional --num-processors.
• Added the paper entry and worked example for Job-Shop Scheduling in docs/paper/reductions.typ.

Deviations from Plan

• Used machine-order permutation encoding instead of direct start-time variables. The issue discussion clarified the canonical example expects enumeration over per-machine task orders, which also matches the cited 6! * 6! = 518400 search space.
• Set the default complexity metadata to factorial(num_tasks) rather than factorial(num_jobs), because the encoded search space is over machine task orders.

Open Questions

• None.

[GiggleLiu]

Agentic Review Report

Structural Check

Structural Review: model JobShopScheduling

Structural Completeness

#	Check	Status
1	Model file exists	PASS — src/models/misc/job_shop_scheduling.rs added
2	inventory::submit! present	PASS — src/models/misc/job_shop_scheduling.rs:13
3	Serialize / Deserialize derive	PASS — src/models/misc/job_shop_scheduling.rs:29
4	Problem trait impl	PASS — src/models/misc/job_shop_scheduling.rs:216
5	Aggregate metric is present	PASS — type Metric = bool at src/models/misc/job_shop_scheduling.rs:218
6	Test link present	PASS — src/models/misc/job_shop_scheduling.rs:265
7	Test file exists	PASS — src/unit_tests/models/misc/job_shop_scheduling.rs
8	Test file has >= 3 test functions	PASS — 7 tests in src/unit_tests/models/misc/job_shop_scheduling.rs
9	Registered in misc/mod.rs	PASS — src/models/misc/mod.rs:48, src/models/misc/mod.rs:87, src/models/misc/mod.rs:145
10	Re-exported in models/mod.rs	PASS — src/models/mod.rs:40
11	Variant registration exists	PASS — src/models/misc/job_shop_scheduling.rs:239
12	CLI name resolution entry	PASS — problemreductions-cli/src/problem_name.rs:23
13	CLI create support	PASS — problemreductions-cli/src/cli.rs:301, problemreductions-cli/src/commands/create.rs:3614
14	Canonical model example registered	PASS — src/models/misc/mod.rs:145 feeds src/example_db/model_builders.rs
15	Paper display-name entry	PASS — docs/paper/reductions.typ adds JobShopScheduling to display-name
16	Paper problem-def block	PASS — docs/paper/reductions.typ adds a dedicated problem-def("JobShopScheduling") block
17	Deterministic file whitelist	FAIL — model PR touched files outside the model whitelist: problemreductions-cli/src/cli.rs, problemreductions-cli/src/commands/create.rs, problemreductions-cli/src/problem_name.rs, src/lib.rs, src/models/mod.rs, src/unit_tests/example_db.rs, src/unit_tests/trait_consistency.rs
18	Blacklisted auto-generated files committed	PASS — none found

Build Status

• make test: PASS
• make clippy: PASS

Semantic Review

• evaluate() correctness: OK — schedule_from_config() decodes per-machine Lehmer orders, builds the combined precedence DAG, rejects cyclic orders, and enforces the global deadline before returning true.
• dims() correctness: OK — src/models/misc/job_shop_scheduling.rs:224 returns per-machine Lehmer radices, so the search space matches the chosen machine-order encoding.
• Size getter consistency: OK — num_tasks() exists and matches the declare_variants! complexity string at src/models/misc/job_shop_scheduling.rs:239.
• Weight handling: N/A.
• Validation path: ISSUE — the CLI validates processor bounds, but it does not validate the Garey-Johnson consecutive-processor constraint before calling JobShopScheduling::new(). Invalid input therefore panics inside src/models/misc/job_shop_scheduling.rs:60 instead of returning a normal CLI error.

Issue Compliance

#	Check	Status
1	Problem name matches issue	OK
2	Mathematical definition matches	OK — processor routes, precedence, machine capacity, and deadline are all represented
3	Problem framing matches	OK — implemented as a satisfaction problem with Metric = bool
4	Type parameters match	OK — none
5	Configuration space matches	ISSUE — the linked issue body still describes start-time variables, but src/models/misc/job_shop_scheduling.rs:224 implements per-machine Lehmer-order variables instead
6	Feasibility check matches	OK
7	Objective function matches	OK
8	Complexity matches	ISSUE — the linked issue body says factorial(num_jobs), while src/models/misc/job_shop_scheduling.rs:239 registers factorial(num_tasks)

Summary

• 17/18 structural checks passed
• 6/8 issue compliance checks passed
• Deterministic whitelist failed because the PR also touches CLI / re-export / support files outside the model-only whitelist
• CLI validation is incomplete for the consecutive-processor constraint, so invalid --job-tasks can panic the process
• The implementation deliberately deviates from the linked issue on configuration space and complexity (num_tasks machine-order encoding instead of start-time variables / factorial(num_jobs))

---

Quality Check

Quality Review

Design Principles

• DRY: OK — the model logic is centralized in src/models/misc/job_shop_scheduling.rs; the only duplicated checks are lightweight CLI guards around constructor preconditions.
• KISS: OK — the machine-order encoding plus longest-path schedule reconstruction is a direct fit for this satisfaction model.
• HC/LC: OK — scheduling semantics stay in the model file, while argument parsing and user messaging stay in the CLI crate.

HCI (CLI changed)

• Error messages: ISSUE — pred create JobShopScheduling --job-tasks "0:1,0:1" --deadline 2 exits with code 101 and a Rust panic from src/models/misc/job_shop_scheduling.rs:60 instead of an actionable CLI validation error. The missing guard is in problemreductions-cli/src/commands/create.rs:3623.
• Discoverability: OK — pred list, pred show JobShopScheduling, and bare pred create JobShopScheduling all expose the new model and show a working example.
• Consistency: OK — --job-tasks, --deadline, and --num-processors/--m follow the existing scheduling command patterns.
• Least surprise: OK — pred solve <instance> without --solver brute-force fails, but the error explicitly tells the user to retry with --solver brute-force.
• Feedback: OK — pred create writes the JSON instance and pred solve / pred evaluate return clear machine-readable output.

Test Quality

• Naive test detection: ISSUE
  • problemreductions-cli/src/commands/create.rs:7820 adds happy-path and malformed-token coverage, but it misses the regression where structurally invalid job routes (0:1,0:1) crash the CLI instead of producing a handled error.

Issues

Critical (Must Fix)

• None.

Important (Should Fix)

• Missing CLI validation for consecutive same-processor tasks causes a user-triggerable panic on invalid --job-tasks input. Reproduced with pred create JobShopScheduling --job-tasks "0:1,0:1" --deadline 2.

Minor (Nice to Have)

• The linked-issue spec and implementation disagree on the chosen encoding / complexity string, which should be reconciled before merge so the issue, PR body, and catalog metadata say the same thing.

Summary

• Valid JobShopScheduling flows are discoverable and work end-to-end.
• Invalid job-route input currently crashes the CLI instead of returning a normal validation error.
• The new tests are generally solid, but they do not cover the reproduced panic path.

---

Agentic Feature Tests

Feature Test Report: problem-reductions

Date: 2026-03-23
Project type: CLI + library
Features tested: JobShopScheduling
Profile: ephemeral
Use Case: Act as a downstream CLI user who wants to discover the new model, inspect it, create an example instance, create a manual instance, and solve/evaluate it from the command line.
Expected Outcome: The model is discoverable from CLI docs, valid instances can be created and solved with the documented brute-force flow, and invalid inputs fail gracefully with actionable feedback.
Verdict: pass
Critical Issues: 0

Summary

Feature	Discoverable	Setup	Works	Expected Outcome Met	Doc Quality
JobShopScheduling	yes	yes	partial	partial	good

Per-Feature Details

JobShopScheduling

• Role: downstream CLI user building and exercising pred from source.
• Use Case: discover the new model, inspect its schema, create valid example/manual instances, solve them, and check how invalid route input is handled.
• What they tried:
  • pred list
  • pred show JobShopScheduling
  • pred create JobShopScheduling with no flags
  • pred create --example JobShopScheduling
  • pred solve <instance> --solver brute-force
  • pred evaluate <instance> --config 0,0,0,0,0,0,1,3,0,1,1,0
  • pred create JobShopScheduling --job-tasks "0:3,1:4;1:2,0:3,1:2;0:4,1:3;1:5,0:2;0:2,1:3,0:1" --deadline 20 --num-processors 2
  • pred create JobShopScheduling --job-tasks "0:1,0:1" --deadline 2
• Discoverability: Good. The model appears in pred list, pred show explains the fields and complexity, and bare pred create JobShopScheduling prints parameter help plus a concrete example command.
• Setup: Good. target/debug/pred built successfully from the branch.
• Functionality: Valid example and manual instances both serialize correctly and solve with --solver brute-force. pred evaluate on the paper witness returns true.
• Expected vs Actual Outcome: The documented valid path works. Invalid route input does not fail gracefully: instead of a handled CLI error, the command panics.
• Blocked steps: None.
• Friction points: The invalid-input panic is the only reproduced friction point. Running pred solve <instance> without --solver brute-force fails, but the message is actionable and points to the right fix.
• Doc suggestions: None required for the happy path; the main fix is implementation-side input validation.

Expected vs Actual Outcome

• Expected: discoverable model with working create/show/solve flow and graceful handling of invalid input.
• Actual: discoverability and valid create/show/solve flow are good; invalid consecutive same-processor tasks trigger a panic instead of a normal validation error.

Issues Found

• Confirmed / Should Fix: pred create JobShopScheduling --job-tasks "0:1,0:1" --deadline 2 exits with code 101 and panics in src/models/misc/job_shop_scheduling.rs:60 because the CLI path does not validate the consecutive-processor constraint before calling the constructor.
• Not a bug: pred solve <instance> without --solver brute-force fails with No reduction path ... Try --solver brute-force. This is expected and documented by the error message.

Suggestions

• Validate the consecutive-processor constraint in problemreductions-cli/src/commands/create.rs before constructing JobShopScheduling, and return an anyhow error instead of letting the constructor panic.
• Add a CLI regression test for the reproduced invalid-input path so this stays handled.

---

Generated by review-pipeline

[isPANN]

On Hold: The linked issue #510 explicitly requires an optimization formulation (Value = Min<usize>, minimize makespan), but the current implementation uses a satisfaction/decision formulation (Value = Or with a deadline parameter). The PR needs to be reworked to match the issue spec.

Additional items to address during rework:

1. Config space / complexity: Issue describes start-time variables and factorial(num_jobs); implementation uses Lehmer-order encoding and factorial(num_tasks). These should be reconciled with the optimization formulation.
2. CLI validation: pred create JobShopScheduling --job-tasks "0:1,0:1" --deadline 2 panics instead of returning a CLI error — add consecutive-processor validation before calling the constructor.

[isPANN]

Rework: satisfaction → optimization

Converted JobShopScheduling from a satisfaction/decision model (Value = Or, with deadline) to an optimization model (Value = Min<u64>, minimize makespan), matching the issue #510 spec.

Changes

• Model: Value = Min<u64>, removed deadline field. evaluate() returns Min(Some(makespan)) for valid configs, Min(None) for invalid.
• CLI: Removed --deadline requirement. Added consecutive-processor validation before calling the constructor (fixes the panic on --job-tasks "0:1,0:1").
• Tests: Updated all assertions to use Min(Some(...)) / Min(None). Added test_create_job_shop_scheduling_rejects_consecutive_same_processor. Brute-force solver confirms optimal makespan = 2 for the small instance.
• Paper: Updated problem-def to optimization formulation. Removed deadline marker from Gantt chart figure.
• Canonical example: optimal_value changed from true to 19.
• Issue [Model] JobShopScheduling #510: Updated body to match — optimization formulation, Lehmer-code variables, factorial(num_tasks) complexity, no deadline in schema.

Also resolved merge conflicts with main and adapted to the Metric → Value trait rename.