Refine multidomain tasks and episode deadlines
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- LICENSES/MIT-Python-Repair.txt +21 -0
- LICENSES/README.txt +2 -2
- MANIFEST.json +0 -0
- README.md +10 -16
- REGISTRATION.json +13 -22
- SHA256SUMS +52 -194
- SOURCE_LOCK.json +0 -0
- components/awm/Dockerfile +3 -16
- components/awm/NOTICE +1 -1
- components/awm/TASKS.json +0 -36
- components/awm/config.json +0 -11
- components/awm/private/tasks/awm-manufacturing-1-schedule/SOURCE.json +0 -11
- components/awm/private/tasks/awm-manufacturing-1-schedule/initial.db +0 -3
- components/awm/private/tasks/awm-manufacturing-1-schedule/original_api.py +0 -1524
- components/awm/private/tasks/awm-manufacturing-1-schedule/original_verifier.py +0 -104
- components/awm/runtime/awm/adapter.py +7 -4
- components/awm/runtime/awm/worker.py +3 -0
- components/awm/upstream/manufacturing_execution_system_1-gen_db.jsonl +0 -1
- components/awm/upstream/manufacturing_execution_system_1-gen_envs.jsonl +0 -0
- components/awm/upstream/manufacturing_execution_system_1-gen_sample.jsonl +0 -1
- components/loui/.dockerignore +2 -0
- components/loui/Dockerfile +12 -0
- components/loui/README.md +7 -0
- components/loui/SOURCE.json +21 -0
- components/loui/config.json +61 -0
- components/{mimo-code/source_bundle/runtime/code_runtime → loui/runtime/common}/__init__.py +0 -0
- components/{mimo-code/source_bundle → loui}/runtime/common/contracts.py +0 -0
- components/{mimo-code/source_bundle → loui}/runtime/common/models.py +0 -0
- components/{mimo-code/source_bundle/pristine-other/vendor/plaso/dfwinreg → loui/runtime/loui}/__init__.py +0 -0
- components/loui/runtime/loui/child.py +77 -0
- components/loui/runtime/loui/environment.py +159 -0
- components/loui/runtime/loui/executor.py +66 -0
- components/{mimo-code/source_bundle/runtime/code_runtime → loui/runtime/loui}/server.py +5 -5
- components/loui/tasks/expression-3/instruction.md +2 -0
- components/loui/tasks/incident-3/instruction.md +2 -0
- components/loui/upstream/LICENSE +21 -0
- components/loui/upstream/v3/README.md +59 -0
- components/loui/upstream/v3/execution.py +154 -0
- components/loui/upstream/v3/hard_tasks.py +101 -0
- components/loui/upstream/v3/server.py +85 -0
- components/loui/upstream/v3/tasks.jsonl +24 -0
- components/loui/upstream/v3/tasks.py +309 -0
- components/math/ADAPTATIONS.txt +2 -3
- components/math/Dockerfile +5 -0
- components/math/FILE_ALLOWLIST.json +0 -603
- components/math/MANIFEST.json +0 -58
- components/math/NOTICE.txt +3 -5
- components/math/SOURCE.json +9 -17
- components/math/TASKS.json +8 -86
- components/math/config.json +0 -105
LICENSES/MIT-Python-Repair.txt
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MIT License
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Copyright (c) 2026 Louis Grenard
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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LICENSES/README.txt
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@@ -2,8 +2,8 @@ Each upstream component retains its own license and attribution.
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PDBThink original tasks and checkers: Open Athena, Apache-2.0. The upstream source identifies the coordinates as wwPDB CC0 material. See Apache-2.0-PDBThink.txt and components/pdbthink/licenses/.
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TMax original task data: Ai2, ODC-BY 1.0. TMax-NOTICE.txt and the original author citations are retained. The upstream card also specifies research and educational use, the Ai2 Responsible Use Guidelines, and upstream terms for generated content. Those source requirements continue to apply. See ODC-BY-1.0.txt.
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AgentWorldModel: Zhaoyang Wang, Canwen Xu, Boyi Liu, Yite Wang, Siwei Han, Zhewei Yao, Huaxiu Yao, and Yuxiong He, CC BY 4.0. See CC-BY-4.0.txt, components/awm/NOTICE, and LICENSE_SCOPE.json.
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The project's existing MIT license applies to the new adapters and packaging documentation only. It does not replace or alter any upstream license.
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PDBThink original tasks and checkers: Open Athena, Apache-2.0. The upstream source identifies the coordinates as wwPDB CC0 material. See Apache-2.0-PDBThink.txt and components/pdbthink/licenses/.
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TMax original task data: Ai2, ODC-BY 1.0. TMax-NOTICE.txt and the original author citations are retained. The upstream card also specifies research and educational use, the Ai2 Responsible Use Guidelines, and upstream terms for generated content. Those source requirements continue to apply. See ODC-BY-1.0.txt.
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MathConstruct Costas: Viresh Pati and contributors, CC BY 4.0, obtained through amphora's pinned Harbor revision. See components/math/licenses/, NOTICE.txt, and SOURCE.json.
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Python repair tasks: Louistiti, MIT. Original tasks, generators and scoring code are preserved in components/loui/upstream/.
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AgentWorldModel: Zhaoyang Wang, Canwen Xu, Boyi Liu, Yite Wang, Siwei Han, Zhewei Yao, Huaxiu Yao, and Yuxiong He, CC BY 4.0. See CC-BY-4.0.txt, components/awm/NOTICE, and LICENSE_SCOPE.json.
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The project's existing MIT license applies to the new adapters and packaging documentation only. It does not replace or alter any upstream license.
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MANIFEST.json
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See raw diff
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README.md
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path: tasks.jsonl
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---
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| Task type | Count | Source |
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|---|---:|---|
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| Business API
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| Manufacturing log processing | 1 | TMax |
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| Video analysis | 1 | TMax |
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| Physical parameter identification | 1 | TMax |
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| Mathematical constraint construction |
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| Protein geometry |
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`tasks.jsonl`
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`components/` contains runtime adapters,
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`REGISTRATION.json`
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Validate
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```sh
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python3 -B validate_dataset.py
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```
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Restore required source directories after downloading from Hugging Face:
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```sh
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python3 -B prepare_source_tree.py
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path: tasks.jsonl
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---
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Eleven original training tasks served by five OpenEnv images.
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| Task type | Count | Source |
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|---|---:|---|
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| Python repair | 2 | Louistiti/openenv-python-repair |
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| Structured data workflows | 3 | TMax |
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| Business API workflow | 1 | AgentWorldModel |
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| Manufacturing log processing | 1 | TMax |
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| Video analysis | 1 | TMax |
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| Physical parameter identification | 1 | TMax |
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| Mathematical constraint construction | 1 | MathConstruct |
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| Protein geometry | 1 | PDBThink |
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`tasks.jsonl` records task IDs, original instructions and pinned sources. Each ID selects one original task. Reset restores its workspace or database; the Python repair tasks use the original seeded generator, with seed 0 by default. Original graders determine rewards. Python repair uses the original mean of behavior-group pass fractions; the other tasks use binary rewards.
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`components/` contains runtime adapters, task inputs, original graders and dependency records. `upstream/` preserves the selected Harbor materials. All images serve `schema.json` through one persistent WebSocket connection at `/ws`. Shell tasks use `exec` and `finish`; Python repair and business workflows use `call` and `finish`; protein geometry uses `submit_answer` through `call`.
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`REGISTRATION.json` records the 11 available task IDs. `SOURCE_LOCK.json` records provenance; `MANIFEST.json` and `SHA256SUMS` cover package files. Licenses and attribution are in `LICENSES/README.txt` and the component notices.
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Validate a downloaded dataset and restore required empty source directories:
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```sh
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python3 -B prepare_source_tree.py
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REGISTRATION.json
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{
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"selected_task_ids": [
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"candidate-1005-software-systems",
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"task_008667_2151f271",
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"construct-mc-ramsey-l4-s0",
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"awm-accounting-1-invoice",
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"task_000260_7b7cc286",
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"pdbthink-s09-70c0778d985e571dde37",
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"task_000663_dff2c340",
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"candidate-1001-security-forensics",
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"task_000056_f726766b",
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"construct-mc-social-golfers-l4-s0",
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"pdbthink-s09-7ba4aa076b6bb5633953",
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"task_005684_3c8594a3",
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"
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"task_008998_ae4cbe72",
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"pdbthink-s09-772d9c283d4255fc0a11"
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],
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"selected_count": 15,
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"skill_family_count": 8,
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"unregistered_available_tasks": {
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"math": [
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],
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"
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},
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"not_in_primary_package": [
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"PortSim w04"
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],
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"rule": "Only IDs in tasks.jsonl and the submission payload receive training steps. Additional image-supported original tasks are unregistered backups, not extra selected questions."
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}
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{
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"selected_count": 11,
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"selected_task_ids": [
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"awm-accounting-1-invoice",
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"incident-3",
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"task_008667_2151f271",
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"construct-mc-costas-array-l3-s0",
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"task_000260_7b7cc286",
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"task_000663_dff2c340",
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"pdbthink-s09-7ba4aa076b6bb5633953",
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"expression-3",
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"task_000056_f726766b",
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"task_005684_3c8594a3",
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"task_008998_ae4cbe72"
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],
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"skill_family_count": 8,
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"unregistered_available_tasks": {
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"math": [],
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"tmax": [],
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"awm": [],
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"pdbthink": [],
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"loui": []
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}
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}
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SHA256SUMS
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c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4 LICENSES/Apache-2.0-PDBThink.txt
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9e5f1b3c610b9c2da5c313bf81d577a7d1acec686bdb0384edefa6df0f90cd94 LICENSES/CC-BY-4.0.txt
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c9d5f2c24789a4ee7502fd1426c6a2090ba766b24f20d0ef663d3b149b7466d3 LICENSES/MIT-adapters.txt
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11a6d83734845ad09d809667aa219857a5b985b28c258a2eebf5677668a6bd3b LICENSES/ODC-BY-1.0.txt
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-
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85da239bb4104a67e515dca538d1a4b345eed77c5d460fe76625bae905b431ed LICENSES/TMax-NOTICE.txt
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9338fe69c7472bfb396c70489e4edf64d6a30cf696da9a4579d30c743414c529 components/awm/ADAPTATIONS.txt
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-
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1ea6a4d0c80da30d5f658364aaef2664cf09f32da0bce23c448e1fc1e4c4a7a6 components/awm/LICENSE_SCOPE.json
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-
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ae057f0e66d0e924e81f553e729148cd98161bf070283928ef4fb658e9cf3546 components/awm/SOURCE_CREDITS.json
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-
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65d41089191536d5940648213b09924ba93e55d92df0080634e16d13615fd1ac components/awm/awm-requirements.lock
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3a1cc59eece46232d3ebb39df3cbfedd0625ab85bcf5e1d6cb090ea6ecec0e58 components/awm/private/tasks/awm-accounting-1-invoice/SOURCE.json
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8ad2959536e44caba47bcbeca9018e47e7157783194d19b429aa8f22a60f4771 components/awm/private/tasks/awm-accounting-1-invoice/initial.db
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57362b907a2d454bbd29b95dfebb7d84207ce9d7e22533eaf54853ee4fb84990 components/awm/private/tasks/awm-accounting-1-invoice/original_api.py
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| 22 |
3cd0d63022caa900e32bda0b0d3ae5c9948ce3c195b77ba1906c7ddebea9c58b components/awm/private/tasks/awm-accounting-1-invoice/original_verifier.py
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93eda02b7f5e0bd7aca37a2becc3fd20925472a8f33143171e4cc250564ff7b3 components/awm/private/tasks/awm-manufacturing-1-schedule/SOURCE.json
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9a523ebee8c25ca61aa43075c6263e5d3b310d39157ebddabea4cb754e610a1c components/awm/private/tasks/awm-manufacturing-1-schedule/initial.db
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ff94326bc0d2a826a2a211512a617f0b9f5d91866b9c77ea17f6502f77b75aa6 components/awm/private/tasks/awm-manufacturing-1-schedule/original_api.py
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f0cd8fa0f1a17e76f8e87cfbe59a81645a750999f747be36b8d25d9244e5b8f1 components/awm/private/tasks/awm-manufacturing-1-schedule/original_verifier.py
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0078892ae5870080b3417677926bc64f4f87ba9e8110ff400f18954e361455fc components/awm/requirements.lock
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01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b components/awm/runtime/awm/__init__.py
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-
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0638af1cd1c6a311ee85109143ec6a59646a5f3d41c4b30312526dec561da33d components/awm/runtime/awm/launch_service.py
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f47b0cc104a7a962fc932c4d3f3bb8bfcf1524dec049b9c2c33161924038b94e components/awm/runtime/awm/openenv_app.py
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484c7caeaa301b91f468a9e55a251a6b529c6f9d0f2e4951c9602071c40ebcea components/awm/runtime/awm/server.py
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b5267c0f1cc015a68154affade8d89f6b6a01e9e4cc47a2dbdb74020e108ab5f components/awm/runtime/awm/wire_client.py
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01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b components/awm/runtime/common/__init__.py
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b1e1429208e84aefc2422ee1d2400ad793c43cd5c0e8db213a3b669fe0947ce1 components/awm/runtime/common/contracts.py
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7263c04e9175faf66501ed9b2ac2f9a637557a8b1966d839fb9944eb01abac0e components/awm/runtime/common/http_routes.py
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1cd23311c95c9919621b226c99dcab54faf815300c72cd542a394a5e69463a6e components/awm/upstream/accounting_1-gen_db.jsonl
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99f1883338fa6f4827cb9c6c4c9cf9222c28a2a9842202cbe524921921de3ae3 components/awm/upstream/accounting_1-gen_envs.jsonl
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28cf8d5611b0d63b9e17d0e991e328c2970cfef5595c08d084f2b1bad7a441fd components/awm/upstream/accounting_1-gen_sample.jsonl
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9e5f1b3c610b9c2da5c313bf81d577a7d1acec686bdb0384edefa6df0f90cd94 components/math/licenses/MathConstraint-LICENSE
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10afac3400d1abccc7ec2322e07563a3e495c13ac39d3865564aa2e2423b398e components/math/licenses/RLVE-LICENSE
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200b2ce93f2a5b9671165f9aea3cc4d89db995352c1e1e3db6d418262b058516 components/math/licenses/UPSTREAM_COLLECTION_LICENSES.md
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26e7a67537ce7ae34909b724243c37242b9c8055cbfe0c717179dac74347786a components/math/runtime/common/models.py
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01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b components/math/runtime/native_shell/__init__.py
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80eb3b90287840668e72040dc55ba115bfc3f4251a25cb2b94af0ed3759dd6b3 components/math/runtime/native_shell/actor_launcher.py
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| 5 |
-
RUN python -m pip install --no-cache-dir --no-index --find-links=/tmp/sdk-wheels --require-hashes -r /opt/awm/requirements.lock && python -m pip check && rm -rf /tmp/sdk-wheels
|
| 6 |
-
COPY awm_wheels /tmp/awm-wheels
|
| 7 |
-
COPY awm-requirements.lock /opt/awm/awm-requirements.lock
|
| 8 |
-
RUN python -m venv /opt/awm-venv && /opt/awm-venv/bin/python -m pip install --no-cache-dir --no-index --find-links=/tmp/awm-wheels --require-hashes -r /opt/awm/awm-requirements.lock && /opt/awm-venv/bin/python -m pip check && rm -rf /tmp/awm-wheels
|
| 9 |
-
COPY runtime /opt/awm/runtime
|
| 10 |
-
COPY private /opt/awm/private
|
| 11 |
COPY config.json /opt/awm/config.json
|
| 12 |
-
COPY
|
| 13 |
-
RUN
|
| 14 |
-
ENV PYTHONPATH=/opt/awm/runtime PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 ENABLE_WEB_INTERFACE=false OPENENV_MODE=simulation GRADIO_ANALYTICS_ENABLED=false HF_HUB_OFFLINE=1
|
| 15 |
-
WORKDIR /opt/awm
|
| 16 |
-
EXPOSE 8000
|
| 17 |
-
HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 CMD ["python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=3).read()"]
|
| 18 |
-
CMD ["python", "-m", "awm.server"]
|
|
|
|
| 1 |
+
FROM ghcr.io/bochencs/openenv-awm@sha256:ca13dd484ed50f5f72e1de652ab55ac25dd7550ee1558f553a3d6eae5a07cb95
|
| 2 |
USER root
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
COPY config.json /opt/awm/config.json
|
| 4 |
+
COPY runtime/awm/adapter.py runtime/awm/worker.py /opt/awm/runtime/awm/
|
| 5 |
+
RUN rm -rf /opt/awm/private/tasks/awm-manufacturing-1-schedule && chmod 600 /opt/awm/config.json
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
components/awm/NOTICE
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
This image adapts
|
| 2 |
Authors: Zhaoyang Wang, Canwen Xu, Boyi Liu, Yite Wang, Siwei Han, Zhewei Yao, Huaxiu Yao, Yuxiong He.
|
| 3 |
Dataset: https://huggingface.co/datasets/Snowflake/AgentWorldModel-1K/tree/dde80a0283fe781bdc51656bce57063dc5650213
|
| 4 |
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
|
|
|
|
| 1 |
+
This image adapts one unchanged original train task from AgentWorldModel-1K.
|
| 2 |
Authors: Zhaoyang Wang, Canwen Xu, Boyi Liu, Yite Wang, Siwei Han, Zhewei Yao, Huaxiu Yao, Yuxiong He.
|
| 3 |
Dataset: https://huggingface.co/datasets/Snowflake/AgentWorldModel-1K/tree/dde80a0283fe781bdc51656bce57063dc5650213
|
| 4 |
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
|
components/awm/TASKS.json
CHANGED
|
@@ -6,7 +6,6 @@
|
|
| 6 |
"source_record": "gen_tasks.jsonl#scenario=accounting_1;tasks[1]",
|
| 7 |
"source_instruction_sha256": "a08b48d978d8a70cfea5c6e871d079622fc99ac8438fb38d6d6816bdfa399c99",
|
| 8 |
"original_limits": null,
|
| 9 |
-
"original_limits_note": "No numeric episode/CPU/memory limits were found in the selected AWM dataset rows; do not infer defaults.",
|
| 10 |
"adapter_limits": {
|
| 11 |
"episode_seconds": 600,
|
| 12 |
"cpus": 1,
|
|
@@ -33,40 +32,5 @@
|
|
| 33 |
"SOURCE.json": "3a1cc59eece46232d3ebb39df3cbfedd0625ab85bcf5e1d6cb090ea6ecec0e58"
|
| 34 |
},
|
| 35 |
"license": "CC-BY-4.0"
|
| 36 |
-
},
|
| 37 |
-
{
|
| 38 |
-
"task_id": "awm-manufacturing-1-schedule",
|
| 39 |
-
"source_repo": "Snowflake/AgentWorldModel-1K",
|
| 40 |
-
"source_revision": "dde80a0283fe781bdc51656bce57063dc5650213",
|
| 41 |
-
"source_record": "gen_tasks.jsonl#scenario=manufacturing_execution_system_1;tasks[5]",
|
| 42 |
-
"source_instruction_sha256": "95404884accb6e78e1a8421cf62b7a6379955bf931dd35ccd71900d01f5180e4",
|
| 43 |
-
"original_limits": null,
|
| 44 |
-
"original_limits_note": "No numeric episode/CPU/memory limits were found in the selected AWM dataset rows; do not infer defaults.",
|
| 45 |
-
"adapter_limits": {
|
| 46 |
-
"episode_seconds": 600,
|
| 47 |
-
"cpus": 1,
|
| 48 |
-
"memory_mb": 2048,
|
| 49 |
-
"max_context_length": 32768,
|
| 50 |
-
"max_completion_tokens": 32768
|
| 51 |
-
},
|
| 52 |
-
"interface": {
|
| 53 |
-
"schema_sha256": "10993deaaa8553929fa0b3b6bf3c1ad100baaaf9ff10ae8ed139a8ec4279a3c4",
|
| 54 |
-
"ops": [
|
| 55 |
-
"call",
|
| 56 |
-
"finish"
|
| 57 |
-
],
|
| 58 |
-
"business_tools": "Unchanged original FastApiMCP 0.4.0 operation names and argument schemas",
|
| 59 |
-
"shell": false,
|
| 60 |
-
"reset": "Fixed task_id, fresh original seed copy, no random task substitution",
|
| 61 |
-
"reward": "0 or 1 from original pure-code state verifier at finish; terminal immutable"
|
| 62 |
-
},
|
| 63 |
-
"tool_count": 50,
|
| 64 |
-
"original_files_sha256": {
|
| 65 |
-
"original_api.py": "ff94326bc0d2a826a2a211512a617f0b9f5d91866b9c77ea17f6502f77b75aa6",
|
| 66 |
-
"original_verifier.py": "f0cd8fa0f1a17e76f8e87cfbe59a81645a750999f747be36b8d25d9244e5b8f1",
|
| 67 |
-
"initial.db": "9a523ebee8c25ca61aa43075c6263e5d3b310d39157ebddabea4cb754e610a1c",
|
| 68 |
-
"SOURCE.json": "93eda02b7f5e0bd7aca37a2becc3fd20925472a8f33143171e4cc250564ff7b3"
|
| 69 |
-
},
|
| 70 |
-
"license": "CC-BY-4.0"
|
| 71 |
}
|
| 72 |
]
|
|
|
|
| 6 |
"source_record": "gen_tasks.jsonl#scenario=accounting_1;tasks[1]",
|
| 7 |
"source_instruction_sha256": "a08b48d978d8a70cfea5c6e871d079622fc99ac8438fb38d6d6816bdfa399c99",
|
| 8 |
"original_limits": null,
|
|
|
|
| 9 |
"adapter_limits": {
|
| 10 |
"episode_seconds": 600,
|
| 11 |
"cpus": 1,
|
|
|
|
| 32 |
"SOURCE.json": "3a1cc59eece46232d3ebb39df3cbfedd0625ab85bcf5e1d6cb090ea6ecec0e58"
|
| 33 |
},
|
| 34 |
"license": "CC-BY-4.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
}
|
| 36 |
]
|
components/awm/config.json
CHANGED
|
@@ -10,17 +10,6 @@
|
|
| 10 |
"SOURCE.json": "3a1cc59eece46232d3ebb39df3cbfedd0625ab85bcf5e1d6cb090ea6ecec0e58"
|
| 11 |
},
|
| 12 |
"timeout_seconds": 600
|
| 13 |
-
},
|
| 14 |
-
{
|
| 15 |
-
"task_id": "awm-manufacturing-1-schedule",
|
| 16 |
-
"split": "train",
|
| 17 |
-
"original_sha256": {
|
| 18 |
-
"original_api.py": "ff94326bc0d2a826a2a211512a617f0b9f5d91866b9c77ea17f6502f77b75aa6",
|
| 19 |
-
"original_verifier.py": "f0cd8fa0f1a17e76f8e87cfbe59a81645a750999f747be36b8d25d9244e5b8f1",
|
| 20 |
-
"initial.db": "9a523ebee8c25ca61aa43075c6263e5d3b310d39157ebddabea4cb754e610a1c",
|
| 21 |
-
"SOURCE.json": "93eda02b7f5e0bd7aca37a2becc3fd20925472a8f33143171e4cc250564ff7b3"
|
| 22 |
-
},
|
| 23 |
-
"timeout_seconds": 600
|
| 24 |
}
|
| 25 |
]
|
| 26 |
}
|
|
|
|
| 10 |
"SOURCE.json": "3a1cc59eece46232d3ebb39df3cbfedd0625ab85bcf5e1d6cb090ea6ecec0e58"
|
| 11 |
},
|
| 12 |
"timeout_seconds": 600
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
}
|
| 14 |
]
|
| 15 |
}
|
components/awm/private/tasks/awm-manufacturing-1-schedule/SOURCE.json
DELETED
|
@@ -1,11 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"repo": "Snowflake/AgentWorldModel-1K",
|
| 3 |
-
"revision": "dde80a0283fe781bdc51656bce57063dc5650213",
|
| 4 |
-
"scenario": "manufacturing_execution_system_1",
|
| 5 |
-
"task_idx": 5,
|
| 6 |
-
"task": "For job 'J-2025-0332', create three job_tasks: (1) cutting at work_center 'Laser Cutter LC-01' requiring_skill_level = 'intermediate' with planned_start '2026-01-05T08:00:00' and planned_finish '2026-01-05T10:00:00'; (2) welding at 'Weld Cell WC-02' requiring_skill_level = 'advanced' from '2026-01-05T11:00:00' to '2026-01-05T14:00:00'; and (3) painting at 'Paint Booth PB-01' requiring_skill_level = 'intermediate' from '2026-01-06T09:00:00' to '2026-01-06T11:00:00'.",
|
| 7 |
-
"task_id": "awm-manufacturing-1-schedule",
|
| 8 |
-
"license": "CC-BY-4.0",
|
| 9 |
-
"split": "train",
|
| 10 |
-
"original_format": "FastAPI through FastApiMCP 0.4.0"
|
| 11 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
components/awm/private/tasks/awm-manufacturing-1-schedule/initial.db
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:9a523ebee8c25ca61aa43075c6263e5d3b310d39157ebddabea4cb754e610a1c
|
| 3 |
-
size 307200
|
|
|
|
|
|
|
|
|
|
|
|
components/awm/private/tasks/awm-manufacturing-1-schedule/original_api.py
DELETED
|
@@ -1,1524 +0,0 @@
|
|
| 1 |
-
from fastapi import FastAPI, Query, Path, Body
|
| 2 |
-
from pydantic import BaseModel, Field, ConfigDict
|
| 3 |
-
from typing import Optional, List
|
| 4 |
-
from sqlalchemy import create_engine, Column, Integer, String, Float, DateTime, Date, ForeignKey, UniqueConstraint, Index, REAL
|
| 5 |
-
from sqlalchemy.orm import declarative_base, relationship, sessionmaker
|
| 6 |
-
from datetime import datetime
|
| 7 |
-
import os
|
| 8 |
-
|
| 9 |
-
database_url = os.getenv("DATABASE_PATH", "sqlite:///outputs/databases/craftbench_custom_manufacturing_job_tracker.db")
|
| 10 |
-
engine = create_engine(database_url, connect_args={"check_same_thread": False} if database_url.startswith("sqlite") else {})
|
| 11 |
-
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
|
| 12 |
-
Base = declarative_base()
|
| 13 |
-
|
| 14 |
-
class User(Base):
|
| 15 |
-
__tablename__ = "users"
|
| 16 |
-
id = Column(Integer, primary_key=True)
|
| 17 |
-
username = Column(String, unique=True, nullable=False, index=True)
|
| 18 |
-
email = Column(String, unique=True, nullable=False, index=True)
|
| 19 |
-
full_name = Column(String)
|
| 20 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 21 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 22 |
-
|
| 23 |
-
class Customer(Base):
|
| 24 |
-
__tablename__ = "customers"
|
| 25 |
-
id = Column(Integer, primary_key=True)
|
| 26 |
-
name = Column(String, unique=True, nullable=False, index=True)
|
| 27 |
-
billing_address = Column(String, nullable=False)
|
| 28 |
-
contact_person = Column(String)
|
| 29 |
-
email = Column(String)
|
| 30 |
-
phone = Column(String)
|
| 31 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 32 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 33 |
-
|
| 34 |
-
class ProductTemplate(Base):
|
| 35 |
-
__tablename__ = "product_templates"
|
| 36 |
-
id = Column(Integer, primary_key=True)
|
| 37 |
-
name = Column(String, unique=True, nullable=False, index=True)
|
| 38 |
-
description = Column(String)
|
| 39 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 40 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 41 |
-
|
| 42 |
-
class ProductTemplateOption(Base):
|
| 43 |
-
__tablename__ = "product_template_options"
|
| 44 |
-
id = Column(Integer, primary_key=True)
|
| 45 |
-
product_template_id = Column(Integer, ForeignKey("product_templates.id", ondelete="CASCADE"), nullable=False)
|
| 46 |
-
option_name = Column(String, nullable=False)
|
| 47 |
-
option_value = Column(String, nullable=False)
|
| 48 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 49 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 50 |
-
__table_args__ = (UniqueConstraint("product_template_id", "option_name", "option_value"),)
|
| 51 |
-
product_template = relationship("ProductTemplate", foreign_keys=[product_template_id])
|
| 52 |
-
|
| 53 |
-
class StandardTaskSequence(Base):
|
| 54 |
-
__tablename__ = "standard_task_sequences"
|
| 55 |
-
id = Column(Integer, primary_key=True)
|
| 56 |
-
product_template_id = Column(Integer, ForeignKey("product_templates.id", ondelete="CASCADE"), nullable=False)
|
| 57 |
-
sequence_order = Column(Integer, nullable=False)
|
| 58 |
-
task_name = Column(String, nullable=False)
|
| 59 |
-
default_planned_duration_hours = Column(REAL, nullable=False)
|
| 60 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 61 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 62 |
-
__table_args__ = (UniqueConstraint("product_template_id", "sequence_order"),)
|
| 63 |
-
product_template = relationship("ProductTemplate", foreign_keys=[product_template_id])
|
| 64 |
-
|
| 65 |
-
class CustomSpec(Base):
|
| 66 |
-
__tablename__ = "custom_specs"
|
| 67 |
-
id = Column(Integer, primary_key=True)
|
| 68 |
-
customer_id = Column(Integer, ForeignKey("customers.id", ondelete="RESTRICT"), nullable=False)
|
| 69 |
-
product_template_id = Column(Integer, ForeignKey("product_templates.id", ondelete="RESTRICT"), nullable=False)
|
| 70 |
-
notes = Column(String)
|
| 71 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 72 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 73 |
-
customer = relationship("Customer", foreign_keys=[customer_id])
|
| 74 |
-
product_template = relationship("ProductTemplate", foreign_keys=[product_template_id])
|
| 75 |
-
|
| 76 |
-
class CustomSpecOption(Base):
|
| 77 |
-
__tablename__ = "custom_spec_options"
|
| 78 |
-
id = Column(Integer, primary_key=True)
|
| 79 |
-
custom_spec_id = Column(Integer, ForeignKey("custom_specs.id", ondelete="CASCADE"), nullable=False)
|
| 80 |
-
option_name = Column(String, nullable=False)
|
| 81 |
-
option_value = Column(String, nullable=False)
|
| 82 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 83 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 84 |
-
__table_args__ = (UniqueConstraint("custom_spec_id", "option_name"),)
|
| 85 |
-
custom_spec = relationship("CustomSpec", foreign_keys=[custom_spec_id])
|
| 86 |
-
|
| 87 |
-
class CustomSpecNumericParam(Base):
|
| 88 |
-
__tablename__ = "custom_spec_numeric_params"
|
| 89 |
-
id = Column(Integer, primary_key=True)
|
| 90 |
-
custom_spec_id = Column(Integer, ForeignKey("custom_specs.id", ondelete="CASCADE"), nullable=False)
|
| 91 |
-
param_name = Column(String, nullable=False)
|
| 92 |
-
param_value = Column(REAL, nullable=False)
|
| 93 |
-
unit = Column(String)
|
| 94 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 95 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 96 |
-
__table_args__ = (UniqueConstraint("custom_spec_id", "param_name"),)
|
| 97 |
-
custom_spec = relationship("CustomSpec", foreign_keys=[custom_spec_id])
|
| 98 |
-
|
| 99 |
-
class Quote(Base):
|
| 100 |
-
__tablename__ = "quotes"
|
| 101 |
-
id = Column(Integer, primary_key=True)
|
| 102 |
-
quote_number = Column(String, unique=True, nullable=False)
|
| 103 |
-
customer_id = Column(Integer, ForeignKey("customers.id", ondelete="RESTRICT"), nullable=False)
|
| 104 |
-
custom_spec_id = Column(Integer, ForeignKey("custom_specs.id", ondelete="SET NULL"))
|
| 105 |
-
estimated_hours = Column(REAL, nullable=False)
|
| 106 |
-
material_cost = Column(REAL, nullable=False)
|
| 107 |
-
labor_rate = Column(REAL, nullable=False)
|
| 108 |
-
status = Column(String, nullable=False)
|
| 109 |
-
internal_note = Column(String)
|
| 110 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 111 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 112 |
-
customer = relationship("Customer", foreign_keys=[customer_id])
|
| 113 |
-
custom_spec = relationship("CustomSpec", foreign_keys=[custom_spec_id])
|
| 114 |
-
|
| 115 |
-
class Job(Base):
|
| 116 |
-
__tablename__ = "jobs"
|
| 117 |
-
id = Column(Integer, primary_key=True)
|
| 118 |
-
job_number = Column(String, unique=True, nullable=False, index=True)
|
| 119 |
-
customer_id = Column(Integer, ForeignKey("customers.id", ondelete="RESTRICT"), nullable=False)
|
| 120 |
-
quote_id = Column(Integer, ForeignKey("quotes.id", ondelete="SET NULL"))
|
| 121 |
-
custom_spec_id = Column(Integer, ForeignKey("custom_specs.id", ondelete="SET NULL"))
|
| 122 |
-
priority = Column(String, nullable=False)
|
| 123 |
-
due_date = Column(Date)
|
| 124 |
-
status = Column(String, nullable=False)
|
| 125 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 126 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 127 |
-
customer = relationship("Customer", foreign_keys=[customer_id])
|
| 128 |
-
quote = relationship("Quote", foreign_keys=[quote_id])
|
| 129 |
-
custom_spec = relationship("CustomSpec", foreign_keys=[custom_spec_id])
|
| 130 |
-
|
| 131 |
-
class WorkCenter(Base):
|
| 132 |
-
__tablename__ = "work_centers"
|
| 133 |
-
id = Column(Integer, primary_key=True)
|
| 134 |
-
name = Column(String, unique=True, nullable=False, index=True)
|
| 135 |
-
description = Column(String)
|
| 136 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 137 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 138 |
-
|
| 139 |
-
class JobTask(Base):
|
| 140 |
-
__tablename__ = "job_tasks"
|
| 141 |
-
id = Column(Integer, primary_key=True)
|
| 142 |
-
task_code = Column(String, unique=True, nullable=False)
|
| 143 |
-
job_id = Column(Integer, ForeignKey("jobs.id", ondelete="CASCADE"), nullable=False)
|
| 144 |
-
sequence_order = Column(Integer, nullable=False)
|
| 145 |
-
task_name = Column(String, nullable=False)
|
| 146 |
-
work_center_id = Column(Integer, ForeignKey("work_centers.id", ondelete="RESTRICT"), nullable=False)
|
| 147 |
-
requiring_skill_level = Column(String)
|
| 148 |
-
planned_start = Column(DateTime)
|
| 149 |
-
planned_finish = Column(DateTime)
|
| 150 |
-
planned_duration_hours = Column(REAL)
|
| 151 |
-
actual_start = Column(DateTime)
|
| 152 |
-
actual_finish = Column(DateTime)
|
| 153 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 154 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 155 |
-
__table_args__ = (UniqueConstraint("job_id", "sequence_order"),)
|
| 156 |
-
job = relationship("Job", foreign_keys=[job_id])
|
| 157 |
-
work_center = relationship("WorkCenter", foreign_keys=[work_center_id])
|
| 158 |
-
|
| 159 |
-
class TimeLog(Base):
|
| 160 |
-
__tablename__ = "time_logs"
|
| 161 |
-
id = Column(Integer, primary_key=True)
|
| 162 |
-
job_task_id = Column(Integer, ForeignKey("job_tasks.id", ondelete="CASCADE"), nullable=False)
|
| 163 |
-
operator_username = Column(String, nullable=False)
|
| 164 |
-
work_center_id = Column(Integer, ForeignKey("work_centers.id", ondelete="RESTRICT"), nullable=False)
|
| 165 |
-
log_start = Column(DateTime, default=datetime.utcnow)
|
| 166 |
-
actual_duration_hours = Column(REAL, nullable=False)
|
| 167 |
-
scrap_quantity = Column(Integer, default=0)
|
| 168 |
-
note = Column(String)
|
| 169 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 170 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 171 |
-
job_task = relationship("JobTask", foreign_keys=[job_task_id])
|
| 172 |
-
work_center = relationship("WorkCenter", foreign_keys=[work_center_id])
|
| 173 |
-
|
| 174 |
-
class Material(Base):
|
| 175 |
-
__tablename__ = "materials"
|
| 176 |
-
id = Column(Integer, primary_key=True)
|
| 177 |
-
name = Column(String, unique=True, nullable=False, index=True)
|
| 178 |
-
unit_of_measure = Column(String, nullable=False)
|
| 179 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 180 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 181 |
-
|
| 182 |
-
class InventoryLot(Base):
|
| 183 |
-
__tablename__ = "inventory_lots"
|
| 184 |
-
id = Column(Integer, primary_key=True)
|
| 185 |
-
lot_number = Column(String, unique=True, nullable=False, index=True)
|
| 186 |
-
material_id = Column(Integer, ForeignKey("materials.id", ondelete="RESTRICT"), nullable=False)
|
| 187 |
-
on_hand_quantity = Column(REAL, nullable=False)
|
| 188 |
-
reserved_quantity = Column(REAL, nullable=False, default=0)
|
| 189 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 190 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 191 |
-
material = relationship("Material", foreign_keys=[material_id])
|
| 192 |
-
|
| 193 |
-
class MaterialReservation(Base):
|
| 194 |
-
__tablename__ = "material_reservations"
|
| 195 |
-
id = Column(Integer, primary_key=True)
|
| 196 |
-
job_id = Column(Integer, ForeignKey("jobs.id", ondelete="CASCADE"), nullable=False)
|
| 197 |
-
inventory_lot_id = Column(Integer, ForeignKey("inventory_lots.id", ondelete="RESTRICT"), nullable=False)
|
| 198 |
-
quantity = Column(REAL, nullable=False)
|
| 199 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 200 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 201 |
-
job = relationship("Job", foreign_keys=[job_id])
|
| 202 |
-
inventory_lot = relationship("InventoryLot", foreign_keys=[inventory_lot_id])
|
| 203 |
-
|
| 204 |
-
class Shipment(Base):
|
| 205 |
-
__tablename__ = "shipments"
|
| 206 |
-
id = Column(Integer, primary_key=True)
|
| 207 |
-
shipment_number = Column(String, unique=True, nullable=False)
|
| 208 |
-
job_id = Column(Integer, ForeignKey("jobs.id", ondelete="RESTRICT"), nullable=False)
|
| 209 |
-
customer_id = Column(Integer, ForeignKey("customers.id", ondelete="RESTRICT"), nullable=False)
|
| 210 |
-
delivery_status = Column(String, nullable=False)
|
| 211 |
-
shipped_at = Column(DateTime)
|
| 212 |
-
delivered_at = Column(DateTime)
|
| 213 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 214 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 215 |
-
job = relationship("Job", foreign_keys=[job_id])
|
| 216 |
-
customer = relationship("Customer", foreign_keys=[customer_id])
|
| 217 |
-
|
| 218 |
-
class ShipmentPackage(Base):
|
| 219 |
-
__tablename__ = "shipment_packages"
|
| 220 |
-
id = Column(Integer, primary_key=True)
|
| 221 |
-
shipment_id = Column(Integer, ForeignKey("shipments.id", ondelete="CASCADE"), nullable=False)
|
| 222 |
-
package_number = Column(Integer, nullable=False)
|
| 223 |
-
weight_kg = Column(REAL, nullable=False)
|
| 224 |
-
tracking_number = Column(String, nullable=False)
|
| 225 |
-
created_at = Column(DateTime, default=datetime.utcnow)
|
| 226 |
-
updated_at = Column(DateTime, default=datetime.utcnow)
|
| 227 |
-
__table_args__ = (UniqueConstraint("shipment_id", "package_number"), UniqueConstraint("tracking_number"),)
|
| 228 |
-
shipment = relationship("Shipment", foreign_keys=[shipment_id])
|
| 229 |
-
|
| 230 |
-
Index("idx_users_username", User.username)
|
| 231 |
-
Index("idx_users_email", User.email)
|
| 232 |
-
Index("idx_customers_name", Customer.name)
|
| 233 |
-
Index("idx_product_templates_name", ProductTemplate.name)
|
| 234 |
-
Index("idx_pto_template", ProductTemplateOption.product_template_id)
|
| 235 |
-
Index("idx_pto_name_value", ProductTemplateOption.option_name, ProductTemplateOption.option_value)
|
| 236 |
-
Index("idx_sts_template", StandardTaskSequence.product_template_id)
|
| 237 |
-
Index("idx_custom_specs_customer", CustomSpec.customer_id)
|
| 238 |
-
Index("idx_custom_specs_template", CustomSpec.product_template_id)
|
| 239 |
-
Index("idx_quotes_customer", Quote.customer_id)
|
| 240 |
-
Index("idx_quotes_status", Quote.status)
|
| 241 |
-
Index("idx_jobs_job_number", Job.job_number)
|
| 242 |
-
Index("idx_jobs_customer", Job.customer_id)
|
| 243 |
-
Index("idx_jobs_status", Job.status)
|
| 244 |
-
Index("idx_jobs_due_date", Job.due_date)
|
| 245 |
-
Index("idx_work_centers_name", WorkCenter.name)
|
| 246 |
-
Index("idx_job_tasks_job", JobTask.job_id)
|
| 247 |
-
Index("idx_job_tasks_work_center", JobTask.work_center_id)
|
| 248 |
-
Index("idx_job_tasks_planned_range", JobTask.planned_start, JobTask.planned_finish)
|
| 249 |
-
Index("idx_time_logs_job_task", TimeLog.job_task_id)
|
| 250 |
-
Index("idx_time_logs_work_center", TimeLog.work_center_id)
|
| 251 |
-
Index("idx_time_logs_log_start", TimeLog.log_start)
|
| 252 |
-
Index("idx_materials_name", Material.name)
|
| 253 |
-
Index("idx_inventory_lots_material", InventoryLot.material_id)
|
| 254 |
-
Index("idx_inventory_lots_lot_number", InventoryLot.lot_number)
|
| 255 |
-
Index("idx_material_reservations_job", MaterialReservation.job_id)
|
| 256 |
-
Index("idx_material_reservations_lot", MaterialReservation.inventory_lot_id)
|
| 257 |
-
Index("idx_shipments_job", Shipment.job_id)
|
| 258 |
-
Index("idx_shipments_customer", Shipment.customer_id)
|
| 259 |
-
Index("idx_shipments_status", Shipment.delivery_status)
|
| 260 |
-
Index("idx_shipment_packages_shipment", ShipmentPackage.shipment_id)
|
| 261 |
-
Index("idx_shipment_packages_tracking", ShipmentPackage.tracking_number)
|
| 262 |
-
|
| 263 |
-
Base.metadata.create_all(bind=engine)
|
| 264 |
-
|
| 265 |
-
app = FastAPI(title="CraftBench Custom Manufacturing Job Tracker", version="1.0.0")
|
| 266 |
-
|
| 267 |
-
class CustomerCreateRequest(BaseModel):
|
| 268 |
-
name: str = Field(..., description="Unique customer name", example="Acme Robotics LLC")
|
| 269 |
-
billing_address: str = Field(..., description="Full billing address", example="1200 Industrial Way, Dayton, OH 45402")
|
| 270 |
-
contact_person: Optional[str] = Field(None, description="Primary contact person name", example="Maria Santos")
|
| 271 |
-
email: Optional[str] = Field(None, description="Primary contact email", example="m.santos@acmerobotics.com")
|
| 272 |
-
phone: Optional[str] = Field(None, description="Primary contact phone", example="+1-937-555-0142")
|
| 273 |
-
|
| 274 |
-
class CustomerResponse(BaseModel):
|
| 275 |
-
model_config = ConfigDict(from_attributes=True)
|
| 276 |
-
id: int = Field(..., description="Customer primary key", example=1)
|
| 277 |
-
name: str = Field(..., description="Customer name", example="Acme Robotics LLC")
|
| 278 |
-
billing_address: str = Field(..., description="Billing address", example="1200 Industrial Way, Dayton, OH 45402")
|
| 279 |
-
contact_person: Optional[str] = Field(None, description="Contact person", example="Maria Santos")
|
| 280 |
-
email: Optional[str] = Field(None, description="Contact email", example="m.santos@acmerobotics.com")
|
| 281 |
-
phone: Optional[str] = Field(None, description="Contact phone", example="+1-937-555-0142")
|
| 282 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:15:00Z")
|
| 283 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:15:00Z")
|
| 284 |
-
|
| 285 |
-
class CustomersListResponse(BaseModel):
|
| 286 |
-
items: List[CustomerResponse] = Field(..., description="List of customers", example=[])
|
| 287 |
-
total: int = Field(..., description="Total customers matching filter", example=1)
|
| 288 |
-
|
| 289 |
-
class ProductTemplateCreateRequest(BaseModel):
|
| 290 |
-
name: str = Field(..., description="Unique product template name", example="Steel Workbench Pro")
|
| 291 |
-
description: Optional[str] = Field(None, description="Template description", example="Heavy-duty steel workbench for industrial use")
|
| 292 |
-
|
| 293 |
-
class ProductTemplateResponse(BaseModel):
|
| 294 |
-
model_config = ConfigDict(from_attributes=True)
|
| 295 |
-
id: int = Field(..., description="Product template primary key", example=1)
|
| 296 |
-
name: str = Field(..., description="Template name", example="Steel Workbench Pro")
|
| 297 |
-
description: Optional[str] = Field(None, description="Template description", example="Heavy-duty steel workbench for industrial use")
|
| 298 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:20:00Z")
|
| 299 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:20:00Z")
|
| 300 |
-
|
| 301 |
-
class ProductTemplatesListResponse(BaseModel):
|
| 302 |
-
items: List[ProductTemplateResponse] = Field(..., description="List of product templates", example=[])
|
| 303 |
-
total: int = Field(..., description="Total templates matching filter", example=1)
|
| 304 |
-
|
| 305 |
-
class ProductTemplateOptionCreateRequest(BaseModel):
|
| 306 |
-
option_name: str = Field(..., description="Name of the option", example="color")
|
| 307 |
-
option_value: str = Field(..., description="Allowed value for the option", example="blue")
|
| 308 |
-
|
| 309 |
-
class ProductTemplateOptionResponse(BaseModel):
|
| 310 |
-
model_config = ConfigDict(from_attributes=True)
|
| 311 |
-
id: int = Field(..., description="Option primary key", example=1)
|
| 312 |
-
product_template_id: int = Field(..., description="Associated product template ID", example=1)
|
| 313 |
-
option_name: str = Field(..., description="Option name", example="color")
|
| 314 |
-
option_value: str = Field(..., description="Option value", example="blue")
|
| 315 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:25:00Z")
|
| 316 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:25:00Z")
|
| 317 |
-
|
| 318 |
-
class ProductTemplateOptionsListResponse(BaseModel):
|
| 319 |
-
items: List[ProductTemplateOptionResponse] = Field(..., description="List of template options", example=[])
|
| 320 |
-
|
| 321 |
-
class StandardTaskSequenceCreateRequest(BaseModel):
|
| 322 |
-
sequence_order: int = Field(..., description="Order of this task in the sequence", example=1)
|
| 323 |
-
task_name: str = Field(..., description="Name of the task operation", example="cutting")
|
| 324 |
-
default_planned_duration_hours: float = Field(..., description="Default planned duration in hours", example=1.5)
|
| 325 |
-
|
| 326 |
-
class StandardTaskSequenceResponse(BaseModel):
|
| 327 |
-
model_config = ConfigDict(from_attributes=True)
|
| 328 |
-
id: int = Field(..., description="Standard task primary key", example=1)
|
| 329 |
-
product_template_id: int = Field(..., description="Template ID", example=1)
|
| 330 |
-
sequence_order: int = Field(..., description="Sequence order index", example=1)
|
| 331 |
-
task_name: str = Field(..., description="Task name", example="cutting")
|
| 332 |
-
default_planned_duration_hours: float = Field(..., description="Planned duration in hours", example=1.5)
|
| 333 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:30:00Z")
|
| 334 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:30:00Z")
|
| 335 |
-
|
| 336 |
-
class StandardTaskSequencesListResponse(BaseModel):
|
| 337 |
-
items: List[StandardTaskSequenceResponse] = Field(..., description="Standard task sequence steps", example=[])
|
| 338 |
-
|
| 339 |
-
class CustomSpecCreateRequest(BaseModel):
|
| 340 |
-
customer_id: int = Field(..., description="Customer ID owning the spec", example=1)
|
| 341 |
-
product_template_id: int = Field(..., description="Product template ID", example=1)
|
| 342 |
-
notes: Optional[str] = Field(None, description="Freeform notes about the custom spec", example="Blue 6ft workbench with powder coat")
|
| 343 |
-
|
| 344 |
-
class CustomSpecResponse(BaseModel):
|
| 345 |
-
model_config = ConfigDict(from_attributes=True)
|
| 346 |
-
id: int = Field(..., description="Custom spec primary key", example=1)
|
| 347 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 348 |
-
product_template_id: int = Field(..., description="Product template ID", example=1)
|
| 349 |
-
notes: Optional[str] = Field(None, description="Notes", example="Blue 6ft workbench with powder coat")
|
| 350 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:35:00Z")
|
| 351 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:35:00Z")
|
| 352 |
-
|
| 353 |
-
class CustomSpecsListResponse(BaseModel):
|
| 354 |
-
items: List[CustomSpecResponse] = Field(..., description="Custom specs", example=[])
|
| 355 |
-
total: int = Field(..., description="Total matching custom specs", example=1)
|
| 356 |
-
|
| 357 |
-
class CustomSpecOptionUpsertRequest(BaseModel):
|
| 358 |
-
option_name: str = Field(..., description="Option name", example="color")
|
| 359 |
-
option_value: str = Field(..., description="Option value to store", example="blue")
|
| 360 |
-
|
| 361 |
-
class CustomSpecOptionResponse(BaseModel):
|
| 362 |
-
model_config = ConfigDict(from_attributes=True)
|
| 363 |
-
id: int = Field(..., description="Custom spec option ID", example=1)
|
| 364 |
-
custom_spec_id: int = Field(..., description="Parent custom spec ID", example=1)
|
| 365 |
-
option_name: str = Field(..., description="Option name", example="color")
|
| 366 |
-
option_value: str = Field(..., description="Option value", example="blue")
|
| 367 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:40:00Z")
|
| 368 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:45:00Z")
|
| 369 |
-
|
| 370 |
-
class CustomSpecOptionsListResponse(BaseModel):
|
| 371 |
-
items: List[CustomSpecOptionResponse] = Field(..., description="Custom spec options", example=[])
|
| 372 |
-
|
| 373 |
-
class CustomSpecNumericParamUpsertRequest(BaseModel):
|
| 374 |
-
param_name: str = Field(..., description="Parameter name", example="length")
|
| 375 |
-
param_value: float = Field(..., description="Numeric value", example=1830.0)
|
| 376 |
-
unit: Optional[str] = Field(None, description="Measurement unit", example="mm")
|
| 377 |
-
|
| 378 |
-
class CustomSpecNumericParamResponse(BaseModel):
|
| 379 |
-
model_config = ConfigDict(from_attributes=True)
|
| 380 |
-
id: int = Field(..., description="Numeric param ID", example=1)
|
| 381 |
-
custom_spec_id: int = Field(..., description="Custom spec ID", example=1)
|
| 382 |
-
param_name: str = Field(..., description="Parameter name", example="length")
|
| 383 |
-
param_value: float = Field(..., description="Parameter value", example=1830.0)
|
| 384 |
-
unit: Optional[str] = Field(None, description="Parameter unit", example="mm")
|
| 385 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:45:00Z")
|
| 386 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:50:00Z")
|
| 387 |
-
|
| 388 |
-
class CustomSpecNumericParamsListResponse(BaseModel):
|
| 389 |
-
items: List[CustomSpecNumericParamResponse] = Field(..., description="Numeric parameters", example=[])
|
| 390 |
-
|
| 391 |
-
class QuoteCreateRequest(BaseModel):
|
| 392 |
-
quote_number: str = Field(..., description="Unique quote number", example="Q-2025-0147")
|
| 393 |
-
customer_id: int = Field(..., description="Customer ID for this quote", example=1)
|
| 394 |
-
custom_spec_id: Optional[int] = Field(None, description="Linked custom spec ID", example=1)
|
| 395 |
-
estimated_hours: float = Field(..., description="Estimated labor hours", example=12.0)
|
| 396 |
-
material_cost: float = Field(..., description="Estimated material cost", example=420.0)
|
| 397 |
-
labor_rate: float = Field(..., description="Labor rate per hour", example=65.0)
|
| 398 |
-
status: str = Field(..., description="Quote status", example="sent")
|
| 399 |
-
internal_note: Optional[str] = Field(None, description="Internal reference note", example="Rush order requested")
|
| 400 |
-
|
| 401 |
-
class QuoteResponse(BaseModel):
|
| 402 |
-
model_config = ConfigDict(from_attributes=True)
|
| 403 |
-
id: int = Field(..., description="Quote ID", example=1)
|
| 404 |
-
quote_number: str = Field(..., description="Quote number", example="Q-2025-0147")
|
| 405 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 406 |
-
custom_spec_id: Optional[int] = Field(None, description="Custom spec ID or null", example=1)
|
| 407 |
-
estimated_hours: float = Field(..., description="Estimated hours", example=12.0)
|
| 408 |
-
material_cost: float = Field(..., description="Material cost", example=420.0)
|
| 409 |
-
labor_rate: float = Field(..., description="Labor rate", example=65.0)
|
| 410 |
-
status: str = Field(..., description="Quote status", example="sent")
|
| 411 |
-
internal_note: Optional[str] = Field(None, description="Internal note", example="Rush order requested")
|
| 412 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T10:55:00Z")
|
| 413 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T10:55:00Z")
|
| 414 |
-
|
| 415 |
-
class QuotesListItemResponse(BaseModel):
|
| 416 |
-
model_config = ConfigDict(from_attributes=True)
|
| 417 |
-
id: int = Field(..., description="Quote ID", example=1)
|
| 418 |
-
quote_number: str = Field(..., description="Quote number", example="Q-2025-0147")
|
| 419 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 420 |
-
status: str = Field(..., description="Quote status", example="accepted")
|
| 421 |
-
estimated_hours: float = Field(..., description="Estimated hours", example=12.0)
|
| 422 |
-
material_cost: float = Field(..., description="Material cost", example=420.0)
|
| 423 |
-
labor_rate: float = Field(..., description="Labor rate", example=65.0)
|
| 424 |
-
|
| 425 |
-
class QuotesListResponse(BaseModel):
|
| 426 |
-
items: List[QuotesListItemResponse] = Field(..., description="Quotes", example=[])
|
| 427 |
-
total: int = Field(..., description="Total matching quotes", example=1)
|
| 428 |
-
|
| 429 |
-
class QuoteUpdateRequest(BaseModel):
|
| 430 |
-
status: Optional[str] = Field(None, description="New status for the quote", example="sent")
|
| 431 |
-
internal_note: Optional[str] = Field(None, description="Updated internal note", example="Customer confirmed")
|
| 432 |
-
|
| 433 |
-
class QuoteUpdateResponse(BaseModel):
|
| 434 |
-
model_config = ConfigDict(from_attributes=True)
|
| 435 |
-
id: int = Field(..., description="Quote ID", example=1)
|
| 436 |
-
quote_number: str = Field(..., description="Quote number", example="Q-2025-0147")
|
| 437 |
-
status: str = Field(..., description="Updated status", example="sent")
|
| 438 |
-
internal_note: Optional[str] = Field(None, description="Updated note", example="Customer confirmed")
|
| 439 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-02T09:00:00Z")
|
| 440 |
-
|
| 441 |
-
class JobCreateRequest(BaseModel):
|
| 442 |
-
job_number: str = Field(..., description="Unique job number", example="J-2025-0332")
|
| 443 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 444 |
-
quote_id: Optional[int] = Field(None, description="Linked quote ID", example=1)
|
| 445 |
-
custom_spec_id: Optional[int] = Field(None, description="Linked custom spec ID", example=1)
|
| 446 |
-
priority: str = Field(..., description="Job priority", example="high")
|
| 447 |
-
due_date: Optional[datetime] = Field(None, description="Job due date (YYYY-MM-DD)", example="2026-01-20T00:00:00")
|
| 448 |
-
status: str = Field(..., description="Job status", example="planned")
|
| 449 |
-
|
| 450 |
-
class JobResponse(BaseModel):
|
| 451 |
-
model_config = ConfigDict(from_attributes=True)
|
| 452 |
-
id: int = Field(..., description="Job ID", example=1)
|
| 453 |
-
job_number: str = Field(..., description="Job number", example="J-2025-0332")
|
| 454 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 455 |
-
quote_id: Optional[int] = Field(None, description="Quote ID", example=1)
|
| 456 |
-
custom_spec_id: Optional[int] = Field(None, description="Custom spec ID", example=1)
|
| 457 |
-
priority: str = Field(..., description="Job priority", example="high")
|
| 458 |
-
due_date: Optional[datetime] = Field(None, description="Due date", example="2026-01-20T00:00:00")
|
| 459 |
-
status: str = Field(..., description="Job status", example="planned")
|
| 460 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T11:00:00Z")
|
| 461 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T11:00:00Z")
|
| 462 |
-
|
| 463 |
-
class JobsListItemResponse(BaseModel):
|
| 464 |
-
model_config = ConfigDict(from_attributes=True)
|
| 465 |
-
id: int = Field(..., description="Job ID", example=1)
|
| 466 |
-
job_number: str = Field(..., description="Job number", example="J-2025-0332")
|
| 467 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 468 |
-
status: str = Field(..., description="Job status", example="planned")
|
| 469 |
-
priority: str = Field(..., description="Job priority", example="high")
|
| 470 |
-
due_date: Optional[datetime] = Field(None, description="Due date", example="2026-01-20T00:00:00")
|
| 471 |
-
|
| 472 |
-
class JobsListResponse(BaseModel):
|
| 473 |
-
items: List[JobsListItemResponse] = Field(..., description="Jobs", example=[])
|
| 474 |
-
total: int = Field(..., description="Total matching jobs", example=1)
|
| 475 |
-
|
| 476 |
-
class JobUpdateRequest(BaseModel):
|
| 477 |
-
status: Optional[str] = Field(None, description="New job status", example="shipped")
|
| 478 |
-
priority: Optional[str] = Field(None, description="New job priority", example="high")
|
| 479 |
-
due_date: Optional[datetime] = Field(None, description="Updated job due date", example="2026-01-22T00:00:00")
|
| 480 |
-
|
| 481 |
-
class JobUpdateResponse(BaseModel):
|
| 482 |
-
model_config = ConfigDict(from_attributes=True)
|
| 483 |
-
id: int = Field(..., description="Job ID", example=1)
|
| 484 |
-
job_number: str = Field(..., description="Job number", example="J-2025-0279")
|
| 485 |
-
status: str = Field(..., description="Updated status", example="shipped")
|
| 486 |
-
priority: str = Field(..., description="Updated priority", example="high")
|
| 487 |
-
due_date: Optional[datetime] = Field(None, description="Updated due date", example="2026-01-22T00:00:00")
|
| 488 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-02T10:00:00Z")
|
| 489 |
-
|
| 490 |
-
class WorkCenterCreateRequest(BaseModel):
|
| 491 |
-
name: str = Field(..., description="Unique work center name", example="Laser Cutter LC-01")
|
| 492 |
-
description: Optional[str] = Field(None, description="Description of the work center", example="High power laser cutting machine")
|
| 493 |
-
|
| 494 |
-
class WorkCenterResponse(BaseModel):
|
| 495 |
-
model_config = ConfigDict(from_attributes=True)
|
| 496 |
-
id: int = Field(..., description="Work center ID", example=1)
|
| 497 |
-
name: str = Field(..., description="Work center name", example="Laser Cutter LC-01")
|
| 498 |
-
description: Optional[str] = Field(None, description="Work center description", example="High power laser cutting machine")
|
| 499 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T11:10:00Z")
|
| 500 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T11:10:00Z")
|
| 501 |
-
|
| 502 |
-
class WorkCentersListResponse(BaseModel):
|
| 503 |
-
items: List[WorkCenterResponse] = Field(..., description="Work centers", example=[])
|
| 504 |
-
|
| 505 |
-
class JobTaskCreateRequest(BaseModel):
|
| 506 |
-
task_code: str = Field(..., description="Unique task code", example="JT-8793")
|
| 507 |
-
job_id: int = Field(..., description="Associated job ID", example=1)
|
| 508 |
-
sequence_order: int = Field(..., description="Order within the job sequence", example=1)
|
| 509 |
-
task_name: str = Field(..., description="Task operation name", example="cutting")
|
| 510 |
-
work_center_id: int = Field(..., description="Work center ID for this task", example=1)
|
| 511 |
-
requiring_skill_level: Optional[str] = Field(None, description="Required operator skill level", example="intermediate")
|
| 512 |
-
planned_start: Optional[datetime] = Field(None, description="Planned start datetime in ISO8601", example="2026-01-05T08:00:00")
|
| 513 |
-
planned_finish: Optional[datetime] = Field(None, description="Planned finish datetime in ISO8601", example="2026-01-05T10:00:00")
|
| 514 |
-
planned_duration_hours: Optional[float] = Field(None, description="Planned duration in hours", example=2.0)
|
| 515 |
-
|
| 516 |
-
class JobTaskResponse(BaseModel):
|
| 517 |
-
model_config = ConfigDict(from_attributes=True)
|
| 518 |
-
id: int = Field(..., description="Job task ID", example=1)
|
| 519 |
-
task_code: str = Field(..., description="Unique task code", example="JT-8793")
|
| 520 |
-
job_id: int = Field(..., description="Job ID", example=1)
|
| 521 |
-
sequence_order: int = Field(..., description="Sequence order", example=1)
|
| 522 |
-
task_name: str = Field(..., description="Task name", example="cutting")
|
| 523 |
-
work_center_id: int = Field(..., description="Work center ID", example=1)
|
| 524 |
-
requiring_skill_level: Optional[str] = Field(None, description="Required skill level", example="intermediate")
|
| 525 |
-
planned_start: Optional[datetime] = Field(None, description="Planned start datetime", example="2026-01-05T08:00:00")
|
| 526 |
-
planned_finish: Optional[datetime] = Field(None, description="Planned finish datetime", example="2026-01-05T10:00:00")
|
| 527 |
-
planned_duration_hours: Optional[float] = Field(None, description="Planned duration hours", example=2.0)
|
| 528 |
-
actual_start: Optional[datetime] = Field(None, description="Actual start datetime or null", example=None)
|
| 529 |
-
actual_finish: Optional[datetime] = Field(None, description="Actual finish datetime or null", example=None)
|
| 530 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T11:15:00Z")
|
| 531 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T11:15:00Z")
|
| 532 |
-
|
| 533 |
-
class JobTasksListItemResponse(BaseModel):
|
| 534 |
-
model_config = ConfigDict(from_attributes=True)
|
| 535 |
-
id: int = Field(..., description="Task ID", example=1)
|
| 536 |
-
task_code: str = Field(..., description="Task code", example="JT-8793")
|
| 537 |
-
job_id: int = Field(..., description="Job ID", example=1)
|
| 538 |
-
sequence_order: int = Field(..., description="Sequence order", example=1)
|
| 539 |
-
task_name: str = Field(..., description="Task name", example="cutting")
|
| 540 |
-
work_center_id: int = Field(..., description="Work center ID", example=1)
|
| 541 |
-
planned_start: Optional[datetime] = Field(None, description="Planned start", example="2026-01-05T08:00:00")
|
| 542 |
-
planned_finish: Optional[datetime] = Field(None, description="Planned finish", example="2026-01-05T10:00:00")
|
| 543 |
-
planned_duration_hours: Optional[float] = Field(None, description="Planned duration", example=2.0)
|
| 544 |
-
|
| 545 |
-
class JobTasksListResponse(BaseModel):
|
| 546 |
-
items: List[JobTasksListItemResponse] = Field(..., description="Job tasks", example=[])
|
| 547 |
-
total: int = Field(..., description="Total matching tasks", example=3)
|
| 548 |
-
|
| 549 |
-
class TimeLogCreateRequest(BaseModel):
|
| 550 |
-
job_task_id: int = Field(..., description="Job task ID being logged", example=1)
|
| 551 |
-
operator_username: str = Field(..., description="Username of the operator", example="op_jwilliams")
|
| 552 |
-
work_center_id: int = Field(..., description="Work center ID where work was performed", example=2)
|
| 553 |
-
log_start: Optional[datetime] = Field(None, description="Start datetime of the log; defaults to now", example="2026-01-05T11:05:00")
|
| 554 |
-
actual_duration_hours: float = Field(..., description="Actual duration in hours", example=2.4)
|
| 555 |
-
scrap_quantity: Optional[int] = Field(None, description="Quantity scrapped during this log", example=1)
|
| 556 |
-
note: Optional[str] = Field(None, description="Notes about the work performed", example="Rewelded one bracket")
|
| 557 |
-
|
| 558 |
-
class TimeLogResponse(BaseModel):
|
| 559 |
-
model_config = ConfigDict(from_attributes=True)
|
| 560 |
-
id: int = Field(..., description="Time log ID", example=1)
|
| 561 |
-
job_task_id: int = Field(..., description="Job task ID", example=1)
|
| 562 |
-
operator_username: str = Field(..., description="Operator username", example="op_jwilliams")
|
| 563 |
-
work_center_id: int = Field(..., description="Work center ID", example=2)
|
| 564 |
-
log_start: Optional[datetime] = Field(None, description="Log start datetime", example="2026-01-05T11:05:00")
|
| 565 |
-
actual_duration_hours: float = Field(..., description="Actual duration hours", example=2.4)
|
| 566 |
-
scrap_quantity: Optional[int] = Field(None, description="Scrap quantity", example=1)
|
| 567 |
-
note: Optional[str] = Field(None, description="Log note", example="Rewelded one bracket")
|
| 568 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2026-01-05T13:50:00Z")
|
| 569 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2026-01-05T13:50:00Z")
|
| 570 |
-
|
| 571 |
-
class TimeLogsListItemResponse(BaseModel):
|
| 572 |
-
model_config = ConfigDict(from_attributes=True)
|
| 573 |
-
id: int = Field(..., description="Time log ID", example=1)
|
| 574 |
-
job_task_id: int = Field(..., description="Job task ID", example=1)
|
| 575 |
-
operator_username: str = Field(..., description="Operator username", example="op_jwilliams")
|
| 576 |
-
work_center_id: int = Field(..., description="Work center ID", example=2)
|
| 577 |
-
log_start: Optional[datetime] = Field(None, description="Log start datetime", example="2026-01-05T11:05:00")
|
| 578 |
-
actual_duration_hours: float = Field(..., description="Duration hours", example=2.4)
|
| 579 |
-
scrap_quantity: Optional[int] = Field(None, description="Scrap quantity", example=1)
|
| 580 |
-
|
| 581 |
-
class TimeLogsListResponse(BaseModel):
|
| 582 |
-
items: List[TimeLogsListItemResponse] = Field(..., description="Time logs", example=[])
|
| 583 |
-
total: int = Field(..., description="Total matching time logs", example=5)
|
| 584 |
-
|
| 585 |
-
class MaterialCreateRequest(BaseModel):
|
| 586 |
-
name: str = Field(..., description="Unique material name", example="Cold Rolled Steel Sheet 2mm")
|
| 587 |
-
unit_of_measure: str = Field(..., description="Unit of measure", example="kg")
|
| 588 |
-
|
| 589 |
-
class MaterialResponse(BaseModel):
|
| 590 |
-
model_config = ConfigDict(from_attributes=True)
|
| 591 |
-
id: int = Field(..., description="Material ID", example=1)
|
| 592 |
-
name: str = Field(..., description="Material name", example="Cold Rolled Steel Sheet 2mm")
|
| 593 |
-
unit_of_measure: str = Field(..., description="Unit of measure", example="kg")
|
| 594 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T11:25:00Z")
|
| 595 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T11:25:00Z")
|
| 596 |
-
|
| 597 |
-
class MaterialsListResponse(BaseModel):
|
| 598 |
-
items: List[MaterialResponse] = Field(..., description="Materials", example=[])
|
| 599 |
-
|
| 600 |
-
class InventoryLotCreateRequest(BaseModel):
|
| 601 |
-
lot_number: str = Field(..., description="Unique lot identifier", example="LOT-CRS-2401")
|
| 602 |
-
material_id: int = Field(..., description="Associated material ID", example=1)
|
| 603 |
-
on_hand_quantity: float = Field(..., description="Initial on hand quantity", example=1000.0)
|
| 604 |
-
reserved_quantity: Optional[float] = Field(0.0, description="Initial reserved quantity", example=0.0)
|
| 605 |
-
|
| 606 |
-
class InventoryLotResponse(BaseModel):
|
| 607 |
-
model_config = ConfigDict(from_attributes=True)
|
| 608 |
-
id: int = Field(..., description="Inventory lot ID", example=1)
|
| 609 |
-
lot_number: str = Field(..., description="Lot number", example="LOT-CRS-2401")
|
| 610 |
-
material_id: int = Field(..., description="Material ID", example=1)
|
| 611 |
-
on_hand_quantity: float = Field(..., description="On hand quantity", example=1000.0)
|
| 612 |
-
reserved_quantity: float = Field(..., description="Reserved quantity", example=150.0)
|
| 613 |
-
created_at: Optional[datetime] = Field(None, description="Creation time", example="2025-01-01T11:30:00Z")
|
| 614 |
-
updated_at: Optional[datetime] = Field(None, description="Last update time", example="2025-01-01T11:30:00Z")
|
| 615 |
-
|
| 616 |
-
class InventoryLotsListItemResponse(BaseModel):
|
| 617 |
-
model_config = ConfigDict(from_attributes=True)
|
| 618 |
-
id: int = Field(..., description="Lot ID", example=1)
|
| 619 |
-
lot_number: str = Field(..., description="Lot number", example="LOT-CRS-2401")
|
| 620 |
-
material_id: int = Field(..., description="Material ID", example=1)
|
| 621 |
-
on_hand_quantity: float = Field(..., description="On hand quantity", example=850.0)
|
| 622 |
-
reserved_quantity: float = Field(..., description="Reserved quantity", example=150.0)
|
| 623 |
-
|
| 624 |
-
class InventoryLotsListResponse(BaseModel):
|
| 625 |
-
items: List[InventoryLotsListItemResponse] = Field(..., description="Inventory lots", example=[])
|
| 626 |
-
|
| 627 |
-
class InventoryLotAdjustRequest(BaseModel):
|
| 628 |
-
on_hand_delta: Optional[float] = Field(None, description="Delta to apply to on_hand_quantity", example=-150.0)
|
| 629 |
-
reserved_delta: Optional[float] = Field(None, description="Delta to apply to reserved_quantity", example=150.0)
|
| 630 |
-
|
| 631 |
-
class InventoryLotAdjustResponse(BaseModel):
|
| 632 |
-
model_config = ConfigDict(from_attributes=True)
|
| 633 |
-
id: int = Field(..., description="Inventory lot ID", example=1)
|
| 634 |
-
lot_number: str = Field(..., description="Lot number", example="LOT-CRS-2401")
|
| 635 |
-
on_hand_quantity: float = Field(..., description="Updated on hand quantity", example=850.0)
|
| 636 |
-
reserved_quantity: float = Field(..., description="Updated reserved quantity", example=150.0)
|
| 637 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-02T09:00:00Z")
|
| 638 |
-
|
| 639 |
-
class MaterialReservationCreateRequest(BaseModel):
|
| 640 |
-
job_id: int = Field(..., description="Job ID that is reserving material", example=1)
|
| 641 |
-
inventory_lot_id: int = Field(..., description="Inventory lot ID to reserve from", example=1)
|
| 642 |
-
quantity: float = Field(..., description="Quantity to reserve", example=150.0)
|
| 643 |
-
|
| 644 |
-
class MaterialReservationResponse(BaseModel):
|
| 645 |
-
model_config = ConfigDict(from_attributes=True)
|
| 646 |
-
id: int = Field(..., description="Material reservation ID", example=1)
|
| 647 |
-
job_id: int = Field(..., description="Job ID", example=1)
|
| 648 |
-
inventory_lot_id: int = Field(..., description="Inventory lot ID", example=1)
|
| 649 |
-
quantity: float = Field(..., description="Reserved quantity", example=150.0)
|
| 650 |
-
created_at: Optional[datetime] = Field(None, description="Creation timestamp", example="2025-01-01T11:35:00Z")
|
| 651 |
-
updated_at: Optional[datetime] = Field(None, description="Last update timestamp", example="2025-01-01T11:35:00Z")
|
| 652 |
-
|
| 653 |
-
class MaterialReservationsListItemResponse(BaseModel):
|
| 654 |
-
model_config = ConfigDict(from_attributes=True)
|
| 655 |
-
id: int = Field(..., description="Reservation ID", example=1)
|
| 656 |
-
job_id: int = Field(..., description="Job ID", example=1)
|
| 657 |
-
inventory_lot_id: int = Field(..., description="Inventory lot ID", example=1)
|
| 658 |
-
quantity: float = Field(..., description="Reserved quantity", example=150.0)
|
| 659 |
-
|
| 660 |
-
class MaterialReservationsListResponse(BaseModel):
|
| 661 |
-
items: List[MaterialReservationsListItemResponse] = Field(..., description="Material reservations", example=[])
|
| 662 |
-
|
| 663 |
-
class ShipmentCreateRequest(BaseModel):
|
| 664 |
-
shipment_number: str = Field(..., description="Unique shipment number", example="SHP-2025-0101")
|
| 665 |
-
job_id: int = Field(..., description="Job ID being shipped", example=1)
|
| 666 |
-
customer_id: int = Field(..., description="Customer receiving the shipment", example=1)
|
| 667 |
-
delivery_status: str = Field(..., description="Shipment status", example="in_transit")
|
| 668 |
-
shipped_at: Optional[datetime] = Field(None, description="Datetime when shipment left the facility", example="2026-01-10T15:00:00")
|
| 669 |
-
delivered_at: Optional[datetime] = Field(None, description="Datetime when shipment was delivered", example=None)
|
| 670 |
-
|
| 671 |
-
class ShipmentResponse(BaseModel):
|
| 672 |
-
model_config = ConfigDict(from_attributes=True)
|
| 673 |
-
id: int = Field(..., description="Shipment ID", example=1)
|
| 674 |
-
shipment_number: str = Field(..., description="Shipment number", example="SHP-2025-0101")
|
| 675 |
-
job_id: int = Field(..., description="Job ID", example=1)
|
| 676 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 677 |
-
delivery_status: str = Field(..., description="Shipment status", example="in_transit")
|
| 678 |
-
shipped_at: Optional[datetime] = Field(None, description="Shipped datetime", example="2026-01-10T15:00:00")
|
| 679 |
-
delivered_at: Optional[datetime] = Field(None, description="Delivered datetime or null", example=None)
|
| 680 |
-
created_at: Optional[datetime] = Field(None, description="Creation time", example="2026-01-10T15:05:00Z")
|
| 681 |
-
updated_at: Optional[datetime] = Field(None, description="Last update time", example="2026-01-10T15:05:00Z")
|
| 682 |
-
|
| 683 |
-
class ShipmentsListItemResponse(BaseModel):
|
| 684 |
-
model_config = ConfigDict(from_attributes=True)
|
| 685 |
-
id: int = Field(..., description="Shipment ID", example=1)
|
| 686 |
-
shipment_number: str = Field(..., description="Shipment number", example="SHP-2025-0101")
|
| 687 |
-
job_id: int = Field(..., description="Job ID", example=1)
|
| 688 |
-
customer_id: int = Field(..., description="Customer ID", example=1)
|
| 689 |
-
delivery_status: str = Field(..., description="Shipment status", example="in_transit")
|
| 690 |
-
|
| 691 |
-
class ShipmentsListResponse(BaseModel):
|
| 692 |
-
items: List[ShipmentsListItemResponse] = Field(..., description="Shipments", example=[])
|
| 693 |
-
|
| 694 |
-
class ShipmentUpdateRequest(BaseModel):
|
| 695 |
-
delivery_status: Optional[str] = Field(None, description="New delivery status", example="delivered")
|
| 696 |
-
shipped_at: Optional[datetime] = Field(None, description="Updated shipped_at datetime", example="2026-01-10T15:00:00")
|
| 697 |
-
delivered_at: Optional[datetime] = Field(None, description="Updated delivered_at datetime", example="2026-01-15T11:30:00")
|
| 698 |
-
|
| 699 |
-
class ShipmentUpdateResponse(BaseModel):
|
| 700 |
-
model_config = ConfigDict(from_attributes=True)
|
| 701 |
-
id: int = Field(..., description="Shipment ID", example=1)
|
| 702 |
-
shipment_number: str = Field(..., description="Shipment number", example="SHP-2025-0101")
|
| 703 |
-
delivery_status: str = Field(..., description="Updated delivery status", example="delivered")
|
| 704 |
-
shipped_at: Optional[datetime] = Field(None, description="Shipped datetime", example="2026-01-10T15:00:00")
|
| 705 |
-
delivered_at: Optional[datetime] = Field(None, description="Delivered datetime", example="2026-01-15T11:30:00")
|
| 706 |
-
updated_at: Optional[datetime] = Field(None, description="Last update time", example="2026-01-15T11:35:00Z")
|
| 707 |
-
|
| 708 |
-
class ShipmentPackageCreateRequest(BaseModel):
|
| 709 |
-
shipment_id: int = Field(..., description="Shipment ID that this package belongs to", example=1)
|
| 710 |
-
package_number: int = Field(..., description="Sequential package number within the shipment", example=1)
|
| 711 |
-
weight_kg: float = Field(..., description="Weight of the package in kg", example=45.0)
|
| 712 |
-
tracking_number: str = Field(..., description="Unique tracking number", example="CBX123456US")
|
| 713 |
-
|
| 714 |
-
class ShipmentPackageResponse(BaseModel):
|
| 715 |
-
model_config = ConfigDict(from_attributes=True)
|
| 716 |
-
id: int = Field(..., description="Shipment package ID", example=1)
|
| 717 |
-
shipment_id: int = Field(..., description="Shipment ID", example=1)
|
| 718 |
-
package_number: int = Field(..., description="Package number within shipment", example=1)
|
| 719 |
-
weight_kg: float = Field(..., description="Package weight in kg", example=45.0)
|
| 720 |
-
tracking_number: str = Field(..., description="Tracking number", example="CBX123456US")
|
| 721 |
-
created_at: Optional[datetime] = Field(None, description="Creation time", example="2026-01-10T15:10:00Z")
|
| 722 |
-
updated_at: Optional[datetime] = Field(None, description="Last update time", example="2026-01-10T15:10:00Z")
|
| 723 |
-
|
| 724 |
-
class ShipmentPackagesListItemResponse(BaseModel):
|
| 725 |
-
model_config = ConfigDict(from_attributes=True)
|
| 726 |
-
id: int = Field(..., description="Package ID", example=1)
|
| 727 |
-
shipment_id: int = Field(..., description="Shipment ID", example=1)
|
| 728 |
-
package_number: int = Field(..., description="Package number", example=1)
|
| 729 |
-
weight_kg: float = Field(..., description="Weight in kg", example=38.5)
|
| 730 |
-
tracking_number: str = Field(..., description="Tracking number", example="CBX123457US")
|
| 731 |
-
|
| 732 |
-
class ShipmentPackagesListResponse(BaseModel):
|
| 733 |
-
items: List[ShipmentPackagesListItemResponse] = Field(..., description="Shipment packages", example=[])
|
| 734 |
-
|
| 735 |
-
class CapacityTaskItem(BaseModel):
|
| 736 |
-
job_task_id: int = Field(..., description="Job task ID", example=10)
|
| 737 |
-
task_code: str = Field(..., description="Task code", example="JT-8801")
|
| 738 |
-
job_id: int = Field(..., description="Job ID", example=5)
|
| 739 |
-
task_name: str = Field(..., description="Task name", example="cutting")
|
| 740 |
-
planned_start: Optional[datetime] = Field(None, description="Planned start datetime", example="2026-01-05T08:00:00")
|
| 741 |
-
planned_finish: Optional[datetime] = Field(None, description="Planned finish datetime", example="2026-01-05T10:00:00")
|
| 742 |
-
planned_duration_hours: Optional[float] = Field(None, description="Planned hours for this task", example=2.0)
|
| 743 |
-
actual_hours: float = Field(..., description="Sum of actual_duration_hours from time_logs", example=1.8)
|
| 744 |
-
|
| 745 |
-
class CapacityUtilizationResponse(BaseModel):
|
| 746 |
-
work_center_id: int = Field(..., description="Analyzed work center ID", example=1)
|
| 747 |
-
planned_from: datetime = Field(..., description="Start of analysis window", example="2026-01-01T00:00:00")
|
| 748 |
-
planned_to: datetime = Field(..., description="End of analysis window", example="2026-01-31T23:59:59")
|
| 749 |
-
total_planned_hours: float = Field(..., description="Sum of planned_duration_hours", example=120.0)
|
| 750 |
-
total_actual_hours: float = Field(..., description="Sum of actual_duration_hours", example=98.5)
|
| 751 |
-
job_tasks: List[CapacityTaskItem] = Field(..., description="Job tasks scheduled in the period", example=[])
|
| 752 |
-
|
| 753 |
-
@app.post("/api/customers", response_model=CustomerResponse, summary="Create a new customer", description="Add a new customer with billing and contact details", tags=["customers"], operation_id="create_customer")
|
| 754 |
-
async def create_customer(request: CustomerCreateRequest = Body(...)) -> CustomerResponse:
|
| 755 |
-
session = SessionLocal()
|
| 756 |
-
obj = Customer(
|
| 757 |
-
name=request.name,
|
| 758 |
-
billing_address=request.billing_address,
|
| 759 |
-
contact_person=request.contact_person,
|
| 760 |
-
email=request.email,
|
| 761 |
-
phone=request.phone,
|
| 762 |
-
created_at=datetime.utcnow(),
|
| 763 |
-
updated_at=datetime.utcnow(),
|
| 764 |
-
)
|
| 765 |
-
session.add(obj)
|
| 766 |
-
session.commit()
|
| 767 |
-
session.refresh(obj)
|
| 768 |
-
session.close()
|
| 769 |
-
return CustomerResponse.model_validate(obj)
|
| 770 |
-
|
| 771 |
-
@app.get("/api/customers", response_model=CustomersListResponse, summary="List customers with optional name filter", description="Retrieve customers, optionally filtering by exact or partial name", tags=["customers"], operation_id="list_customers")
|
| 772 |
-
async def list_customers(name: Optional[str] = Query(None, description="Filter by name containing this text", example="Acme"), limit: Optional[int] = Query(50, description="Maximum records to return", example=50), offset: Optional[int] = Query(0, description="Offset for pagination", example=0)) -> CustomersListResponse:
|
| 773 |
-
session = SessionLocal()
|
| 774 |
-
query = session.query(Customer)
|
| 775 |
-
if name is not None:
|
| 776 |
-
query = query.filter(Customer.name.contains(name))
|
| 777 |
-
total = query.count()
|
| 778 |
-
objs = query.offset(offset).limit(limit).all()
|
| 779 |
-
items = [CustomerResponse.model_validate(o) for o in objs]
|
| 780 |
-
session.close()
|
| 781 |
-
return CustomersListResponse(items=items, total=total)
|
| 782 |
-
|
| 783 |
-
@app.get("/api/customers/{customer_id}", response_model=CustomerResponse, summary="Get a customer by ID", description="Retrieve a single customer record by its numeric ID", tags=["customers"], operation_id="get_customer_by_id")
|
| 784 |
-
async def get_customer_by_id(customer_id: int = Path(..., description="Customer primary key ID", example=1)) -> CustomerResponse:
|
| 785 |
-
session = SessionLocal()
|
| 786 |
-
obj = session.query(Customer).filter(Customer.id == customer_id).first()
|
| 787 |
-
session.close()
|
| 788 |
-
if obj is None:
|
| 789 |
-
return CustomerResponse(id=0, name="", billing_address="", contact_person=None, email=None, phone=None, created_at=None, updated_at=None)
|
| 790 |
-
return CustomerResponse.model_validate(obj)
|
| 791 |
-
|
| 792 |
-
@app.get("/api/customers/by-name/{customer_name}", response_model=CustomerResponse, summary="Get a customer by exact name", description="Lookup a single customer using its unique name", tags=["customers"], operation_id="get_customer_by_name")
|
| 793 |
-
async def get_customer_by_name(customer_name: str = Path(..., description="Exact customer name to lookup", example="Acme Robotics LLC")) -> CustomerResponse:
|
| 794 |
-
session = SessionLocal()
|
| 795 |
-
obj = session.query(Customer).filter(Customer.name == customer_name).first()
|
| 796 |
-
session.close()
|
| 797 |
-
if obj is None:
|
| 798 |
-
return CustomerResponse(id=0, name="", billing_address="", contact_person=None, email=None, phone=None, created_at=None, updated_at=None)
|
| 799 |
-
return CustomerResponse.model_validate(obj)
|
| 800 |
-
|
| 801 |
-
@app.post("/api/product-templates", response_model=ProductTemplateResponse, summary="Create a new product template", description="Define a new product template record with optional description", tags=["product_templates"], operation_id="create_product_template")
|
| 802 |
-
async def create_product_template(request: ProductTemplateCreateRequest = Body(...)) -> ProductTemplateResponse:
|
| 803 |
-
session = SessionLocal()
|
| 804 |
-
obj = ProductTemplate(
|
| 805 |
-
name=request.name,
|
| 806 |
-
description=request.description,
|
| 807 |
-
created_at=datetime.utcnow(),
|
| 808 |
-
updated_at=datetime.utcnow(),
|
| 809 |
-
)
|
| 810 |
-
session.add(obj)
|
| 811 |
-
session.commit()
|
| 812 |
-
session.refresh(obj)
|
| 813 |
-
session.close()
|
| 814 |
-
return ProductTemplateResponse.model_validate(obj)
|
| 815 |
-
|
| 816 |
-
@app.get("/api/product-templates", response_model=ProductTemplatesListResponse, summary="List product templates", description="Retrieve product templates with optional name filter", tags=["product_templates"], operation_id="list_product_templates")
|
| 817 |
-
async def list_product_templates(name: Optional[str] = Query(None, description="Filter templates containing this name", example="Workbench"), limit: Optional[int] = Query(50, description="Max number of templates to return", example=50), offset: Optional[int] = Query(0, description="Offset for pagination", example=0)) -> ProductTemplatesListResponse:
|
| 818 |
-
session = SessionLocal()
|
| 819 |
-
query = session.query(ProductTemplate)
|
| 820 |
-
if name is not None:
|
| 821 |
-
query = query.filter(ProductTemplate.name.contains(name))
|
| 822 |
-
total = query.count()
|
| 823 |
-
objs = query.offset(offset).limit(limit).all()
|
| 824 |
-
items = [ProductTemplateResponse.model_validate(o) for o in objs]
|
| 825 |
-
session.close()
|
| 826 |
-
return ProductTemplatesListResponse(items=items, total=total)
|
| 827 |
-
|
| 828 |
-
@app.get("/api/product-templates/{product_template_id}", response_model=ProductTemplateResponse, summary="Get product template by ID", description="Retrieve a single product template using its ID", tags=["product_templates"], operation_id="get_product_template_by_id")
|
| 829 |
-
async def get_product_template_by_id(product_template_id: int = Path(..., description="Product template ID", example=1)) -> ProductTemplateResponse:
|
| 830 |
-
session = SessionLocal()
|
| 831 |
-
obj = session.query(ProductTemplate).filter(ProductTemplate.id == product_template_id).first()
|
| 832 |
-
session.close()
|
| 833 |
-
if obj is None:
|
| 834 |
-
return ProductTemplateResponse(id=0, name="", description=None, created_at=None, updated_at=None)
|
| 835 |
-
return ProductTemplateResponse.model_validate(obj)
|
| 836 |
-
|
| 837 |
-
@app.get("/api/product-templates/by-name/{template_name}", response_model=ProductTemplateResponse, summary="Get product template by exact name", description="Lookup a product template using its unique name", tags=["product_templates"], operation_id="get_product_template_by_name")
|
| 838 |
-
async def get_product_template_by_name(template_name: str = Path(..., description="Exact product template name", example="Steel Workbench Pro")) -> ProductTemplateResponse:
|
| 839 |
-
session = SessionLocal()
|
| 840 |
-
obj = session.query(ProductTemplate).filter(ProductTemplate.name == template_name).first()
|
| 841 |
-
session.close()
|
| 842 |
-
if obj is None:
|
| 843 |
-
return ProductTemplateResponse(id=0, name="", description=None, created_at=None, updated_at=None)
|
| 844 |
-
return ProductTemplateResponse.model_validate(obj)
|
| 845 |
-
|
| 846 |
-
@app.post("/api/product-templates/{product_template_id}/options", response_model=ProductTemplateOptionResponse, summary="Create an option for a product template", description="Add a single option value for a given product template", tags=["product_template_options"], operation_id="create_product_template_option")
|
| 847 |
-
async def create_product_template_option(product_template_id: int = Path(..., description="Parent product template ID", example=1), request: ProductTemplateOptionCreateRequest = Body(...)) -> ProductTemplateOptionResponse:
|
| 848 |
-
session = SessionLocal()
|
| 849 |
-
obj = ProductTemplateOption(
|
| 850 |
-
product_template_id=product_template_id,
|
| 851 |
-
option_name=request.option_name,
|
| 852 |
-
option_value=request.option_value,
|
| 853 |
-
created_at=datetime.utcnow(),
|
| 854 |
-
updated_at=datetime.utcnow(),
|
| 855 |
-
)
|
| 856 |
-
session.add(obj)
|
| 857 |
-
session.commit()
|
| 858 |
-
session.refresh(obj)
|
| 859 |
-
session.close()
|
| 860 |
-
return ProductTemplateOptionResponse.model_validate(obj)
|
| 861 |
-
|
| 862 |
-
@app.get("/api/product-templates/{product_template_id}/options", response_model=ProductTemplateOptionsListResponse, summary="List options for a product template", description="Retrieve all option values for a specific product template", tags=["product_template_options"], operation_id="list_product_template_options")
|
| 863 |
-
async def list_product_template_options(product_template_id: int = Path(..., description="Product template ID", example=1), option_name: Optional[str] = Query(None, description="Filter by option name", example="color")) -> ProductTemplateOptionsListResponse:
|
| 864 |
-
session = SessionLocal()
|
| 865 |
-
query = session.query(ProductTemplateOption).filter(ProductTemplateOption.product_template_id == product_template_id)
|
| 866 |
-
if option_name is not None:
|
| 867 |
-
query = query.filter(ProductTemplateOption.option_name == option_name)
|
| 868 |
-
objs = query.all()
|
| 869 |
-
items = [ProductTemplateOptionResponse.model_validate(o) for o in objs]
|
| 870 |
-
session.close()
|
| 871 |
-
return ProductTemplateOptionsListResponse(items=items)
|
| 872 |
-
|
| 873 |
-
@app.post("/api/product-templates/{product_template_id}/standard-tasks", response_model=StandardTaskSequenceResponse, summary="Create a standard task for a template", description="Add a single task step into a product template's standard sequence", tags=["standard_task_sequences"], operation_id="create_standard_task_sequence")
|
| 874 |
-
async def create_standard_task_sequence(product_template_id: int = Path(..., description="Product template ID", example=1), request: StandardTaskSequenceCreateRequest = Body(...)) -> StandardTaskSequenceResponse:
|
| 875 |
-
session = SessionLocal()
|
| 876 |
-
obj = StandardTaskSequence(
|
| 877 |
-
product_template_id=product_template_id,
|
| 878 |
-
sequence_order=request.sequence_order,
|
| 879 |
-
task_name=request.task_name,
|
| 880 |
-
default_planned_duration_hours=request.default_planned_duration_hours,
|
| 881 |
-
created_at=datetime.utcnow(),
|
| 882 |
-
updated_at=datetime.utcnow(),
|
| 883 |
-
)
|
| 884 |
-
session.add(obj)
|
| 885 |
-
session.commit()
|
| 886 |
-
session.refresh(obj)
|
| 887 |
-
session.close()
|
| 888 |
-
return StandardTaskSequenceResponse.model_validate(obj)
|
| 889 |
-
|
| 890 |
-
@app.get("/api/product-templates/{product_template_id}/standard-tasks", response_model=StandardTaskSequencesListResponse, summary="List standard tasks for a template", description="Retrieve all standard tasks for a product template ordered by sequence", tags=["standard_task_sequences"], operation_id="list_standard_task_sequences")
|
| 891 |
-
async def list_standard_task_sequences(product_template_id: int = Path(..., description="Product template ID", example=1)) -> StandardTaskSequencesListResponse:
|
| 892 |
-
session = SessionLocal()
|
| 893 |
-
objs = session.query(StandardTaskSequence).filter(StandardTaskSequence.product_template_id == product_template_id).order_by(StandardTaskSequence.sequence_order.asc()).all()
|
| 894 |
-
items = [StandardTaskSequenceResponse.model_validate(o) for o in objs]
|
| 895 |
-
session.close()
|
| 896 |
-
return StandardTaskSequencesListResponse(items=items)
|
| 897 |
-
|
| 898 |
-
@app.post("/api/custom-specs", response_model=CustomSpecResponse, summary="Create a custom specification", description="Create a custom specification linking a customer and product template", tags=["custom_specs"], operation_id="create_custom_spec")
|
| 899 |
-
async def create_custom_spec(request: CustomSpecCreateRequest = Body(...)) -> CustomSpecResponse:
|
| 900 |
-
session = SessionLocal()
|
| 901 |
-
obj = CustomSpec(
|
| 902 |
-
customer_id=request.customer_id,
|
| 903 |
-
product_template_id=request.product_template_id,
|
| 904 |
-
notes=request.notes,
|
| 905 |
-
created_at=datetime.utcnow(),
|
| 906 |
-
updated_at=datetime.utcnow(),
|
| 907 |
-
)
|
| 908 |
-
session.add(obj)
|
| 909 |
-
session.commit()
|
| 910 |
-
session.refresh(obj)
|
| 911 |
-
session.close()
|
| 912 |
-
return CustomSpecResponse.model_validate(obj)
|
| 913 |
-
|
| 914 |
-
@app.get("/api/custom-specs", response_model=CustomSpecsListResponse, summary="List custom specs", description="List custom specs with optional filters by customer or product template", tags=["custom_specs"], operation_id="list_custom_specs")
|
| 915 |
-
async def list_custom_specs(customer_id: Optional[int] = Query(None, description="Filter by customer ID", example=1), product_template_id: Optional[int] = Query(None, description="Filter by product template ID", example=1), limit: Optional[int] = Query(50, description="Max records to return", example=50), offset: Optional[int] = Query(0, description="Offset for pagination", example=0)) -> CustomSpecsListResponse:
|
| 916 |
-
session = SessionLocal()
|
| 917 |
-
query = session.query(CustomSpec)
|
| 918 |
-
if customer_id is not None:
|
| 919 |
-
query = query.filter(CustomSpec.customer_id == customer_id)
|
| 920 |
-
if product_template_id is not None:
|
| 921 |
-
query = query.filter(CustomSpec.product_template_id == product_template_id)
|
| 922 |
-
total = query.count()
|
| 923 |
-
objs = query.offset(offset).limit(limit).all()
|
| 924 |
-
items = [CustomSpecResponse.model_validate(o) for o in objs]
|
| 925 |
-
session.close()
|
| 926 |
-
return CustomSpecsListResponse(items=items, total=total)
|
| 927 |
-
|
| 928 |
-
@app.get("/api/custom-specs/{custom_spec_id}", response_model=CustomSpecResponse, summary="Get custom spec by ID", description="Retrieve a single custom spec by its ID", tags=["custom_specs"], operation_id="get_custom_spec_by_id")
|
| 929 |
-
async def get_custom_spec_by_id(custom_spec_id: int = Path(..., description="Custom spec ID", example=1)) -> CustomSpecResponse:
|
| 930 |
-
session = SessionLocal()
|
| 931 |
-
obj = session.query(CustomSpec).filter(CustomSpec.id == custom_spec_id).first()
|
| 932 |
-
session.close()
|
| 933 |
-
if obj is None:
|
| 934 |
-
return CustomSpecResponse(id=0, customer_id=0, product_template_id=0, notes=None, created_at=None, updated_at=None)
|
| 935 |
-
return CustomSpecResponse.model_validate(obj)
|
| 936 |
-
|
| 937 |
-
@app.post("/api/custom-specs/{custom_spec_id}/options", response_model=CustomSpecOptionResponse, summary="Create or update a custom spec option", description="Set a named option value for a custom spec, upserting by option name", tags=["custom_spec_options"], operation_id="upsert_custom_spec_option")
|
| 938 |
-
async def upsert_custom_spec_option(custom_spec_id: int = Path(..., description="Custom spec ID", example=1), request: CustomSpecOptionUpsertRequest = Body(...)) -> CustomSpecOptionResponse:
|
| 939 |
-
session = SessionLocal()
|
| 940 |
-
obj = session.query(CustomSpecOption).filter(CustomSpecOption.custom_spec_id == custom_spec_id, CustomSpecOption.option_name == request.option_name).first()
|
| 941 |
-
now = datetime.utcnow()
|
| 942 |
-
if obj is None:
|
| 943 |
-
obj = CustomSpecOption(
|
| 944 |
-
custom_spec_id=custom_spec_id,
|
| 945 |
-
option_name=request.option_name,
|
| 946 |
-
option_value=request.option_value,
|
| 947 |
-
created_at=now,
|
| 948 |
-
updated_at=now,
|
| 949 |
-
)
|
| 950 |
-
session.add(obj)
|
| 951 |
-
else:
|
| 952 |
-
obj.option_value = request.option_value
|
| 953 |
-
obj.updated_at = now
|
| 954 |
-
session.commit()
|
| 955 |
-
session.refresh(obj)
|
| 956 |
-
session.close()
|
| 957 |
-
return CustomSpecOptionResponse.model_validate(obj)
|
| 958 |
-
|
| 959 |
-
@app.get("/api/custom-specs/{custom_spec_id}/options", response_model=CustomSpecOptionsListResponse, summary="List options for a custom spec", description="Retrieve all option name/value pairs for a custom spec", tags=["custom_spec_options"], operation_id="list_custom_spec_options")
|
| 960 |
-
async def list_custom_spec_options(custom_spec_id: int = Path(..., description="Custom spec ID", example=1)) -> CustomSpecOptionsListResponse:
|
| 961 |
-
session = SessionLocal()
|
| 962 |
-
objs = session.query(CustomSpecOption).filter(CustomSpecOption.custom_spec_id == custom_spec_id).all()
|
| 963 |
-
items = [CustomSpecOptionResponse.model_validate(o) for o in objs]
|
| 964 |
-
session.close()
|
| 965 |
-
return CustomSpecOptionsListResponse(items=items)
|
| 966 |
-
|
| 967 |
-
@app.post("/api/custom-specs/{custom_spec_id}/numeric-params", response_model=CustomSpecNumericParamResponse, summary="Create or update a numeric param", description="Set a numeric parameter with unit for a custom spec, upserting by name", tags=["custom_spec_numeric_params"], operation_id="upsert_custom_spec_numeric_param")
|
| 968 |
-
async def upsert_custom_spec_numeric_param(custom_spec_id: int = Path(..., description="Custom spec ID", example=1), request: CustomSpecNumericParamUpsertRequest = Body(...)) -> CustomSpecNumericParamResponse:
|
| 969 |
-
session = SessionLocal()
|
| 970 |
-
obj = session.query(CustomSpecNumericParam).filter(CustomSpecNumericParam.custom_spec_id == custom_spec_id, CustomSpecNumericParam.param_name == request.param_name).first()
|
| 971 |
-
now = datetime.utcnow()
|
| 972 |
-
if obj is None:
|
| 973 |
-
obj = CustomSpecNumericParam(
|
| 974 |
-
custom_spec_id=custom_spec_id,
|
| 975 |
-
param_name=request.param_name,
|
| 976 |
-
param_value=request.param_value,
|
| 977 |
-
unit=request.unit,
|
| 978 |
-
created_at=now,
|
| 979 |
-
updated_at=now,
|
| 980 |
-
)
|
| 981 |
-
session.add(obj)
|
| 982 |
-
else:
|
| 983 |
-
obj.param_value = request.param_value
|
| 984 |
-
obj.unit = request.unit
|
| 985 |
-
obj.updated_at = now
|
| 986 |
-
session.commit()
|
| 987 |
-
session.refresh(obj)
|
| 988 |
-
session.close()
|
| 989 |
-
return CustomSpecNumericParamResponse.model_validate(obj)
|
| 990 |
-
|
| 991 |
-
@app.get("/api/custom-specs/{custom_spec_id}/numeric-params", response_model=CustomSpecNumericParamsListResponse, summary="List numeric params for a custom spec", description="Retrieve all numeric parameters and units for a custom spec", tags=["custom_spec_numeric_params"], operation_id="list_custom_spec_numeric_params")
|
| 992 |
-
async def list_custom_spec_numeric_params(custom_spec_id: int = Path(..., description="Custom spec ID", example=1)) -> CustomSpecNumericParamsListResponse:
|
| 993 |
-
session = SessionLocal()
|
| 994 |
-
objs = session.query(CustomSpecNumericParam).filter(CustomSpecNumericParam.custom_spec_id == custom_spec_id).all()
|
| 995 |
-
items = [CustomSpecNumericParamResponse.model_validate(o) for o in objs]
|
| 996 |
-
session.close()
|
| 997 |
-
return CustomSpecNumericParamsListResponse(items=items)
|
| 998 |
-
|
| 999 |
-
@app.post("/api/quotes", response_model=QuoteResponse, summary="Create a quote", description="Create a quote linked to a customer and optional custom spec", tags=["quotes"], operation_id="create_quote")
|
| 1000 |
-
async def create_quote(request: QuoteCreateRequest = Body(...)) -> QuoteResponse:
|
| 1001 |
-
session = SessionLocal()
|
| 1002 |
-
obj = Quote(
|
| 1003 |
-
quote_number=request.quote_number,
|
| 1004 |
-
customer_id=request.customer_id,
|
| 1005 |
-
custom_spec_id=request.custom_spec_id,
|
| 1006 |
-
estimated_hours=request.estimated_hours,
|
| 1007 |
-
material_cost=request.material_cost,
|
| 1008 |
-
labor_rate=request.labor_rate,
|
| 1009 |
-
status=request.status,
|
| 1010 |
-
internal_note=request.internal_note,
|
| 1011 |
-
created_at=datetime.utcnow(),
|
| 1012 |
-
updated_at=datetime.utcnow(),
|
| 1013 |
-
)
|
| 1014 |
-
session.add(obj)
|
| 1015 |
-
session.commit()
|
| 1016 |
-
session.refresh(obj)
|
| 1017 |
-
session.close()
|
| 1018 |
-
return QuoteResponse.model_validate(obj)
|
| 1019 |
-
|
| 1020 |
-
@app.get("/api/quotes", response_model=QuotesListResponse, summary="List quotes with filters", description="Retrieve quotes filtered by customer, status, or quote number", tags=["quotes"], operation_id="list_quotes")
|
| 1021 |
-
async def list_quotes(quote_number: Optional[str] = Query(None, description="Filter by exact quote number", example="Q-2025-0147"), customer_id: Optional[int] = Query(None, description="Filter by customer ID", example=1), status: Optional[str] = Query(None, description="Filter by quote status", example="accepted"), limit: Optional[int] = Query(50, description="Max records to return", example=50), offset: Optional[int] = Query(0, description="Offset for pagination", example=0)) -> QuotesListResponse:
|
| 1022 |
-
session = SessionLocal()
|
| 1023 |
-
query = session.query(Quote)
|
| 1024 |
-
if quote_number is not None:
|
| 1025 |
-
query = query.filter(Quote.quote_number == quote_number)
|
| 1026 |
-
if customer_id is not None:
|
| 1027 |
-
query = query.filter(Quote.customer_id == customer_id)
|
| 1028 |
-
if status is not None:
|
| 1029 |
-
query = query.filter(Quote.status == status)
|
| 1030 |
-
total = query.count()
|
| 1031 |
-
objs = query.offset(offset).limit(limit).all()
|
| 1032 |
-
items = [QuotesListItemResponse.model_validate(o) for o in objs]
|
| 1033 |
-
session.close()
|
| 1034 |
-
return QuotesListResponse(items=items, total=total)
|
| 1035 |
-
|
| 1036 |
-
@app.get("/api/quotes/by-number/{quote_number}", response_model=QuoteResponse, summary="Get quote by quote number", description="Retrieve a single quote by its unique quote_number", tags=["quotes"], operation_id="get_quote_by_number")
|
| 1037 |
-
async def get_quote_by_number(quote_number: str = Path(..., description="Exact quote number to lookup", example="Q-2025-0147")) -> QuoteResponse:
|
| 1038 |
-
session = SessionLocal()
|
| 1039 |
-
obj = session.query(Quote).filter(Quote.quote_number == quote_number).first()
|
| 1040 |
-
session.close()
|
| 1041 |
-
if obj is None:
|
| 1042 |
-
return QuoteResponse(id=0, quote_number="", customer_id=0, custom_spec_id=None, estimated_hours=0.0, material_cost=0.0, labor_rate=0.0, status="", internal_note=None, created_at=None, updated_at=None)
|
| 1043 |
-
return QuoteResponse.model_validate(obj)
|
| 1044 |
-
|
| 1045 |
-
@app.patch("/api/quotes/{quote_id}", response_model=QuoteUpdateResponse, summary="Update quote status or note", description="Update mutable fields such as status or internal_note for a quote", tags=["quotes"], operation_id="update_quote_partial")
|
| 1046 |
-
async def update_quote_partial(quote_id: int = Path(..., description="Quote ID to update", example=1), request: QuoteUpdateRequest = Body(...)) -> QuoteUpdateResponse:
|
| 1047 |
-
session = SessionLocal()
|
| 1048 |
-
obj = session.query(Quote).filter(Quote.id == quote_id).first()
|
| 1049 |
-
now = datetime.utcnow()
|
| 1050 |
-
if obj is not None:
|
| 1051 |
-
if request.status is not None:
|
| 1052 |
-
obj.status = request.status
|
| 1053 |
-
if request.internal_note is not None:
|
| 1054 |
-
obj.internal_note = request.internal_note
|
| 1055 |
-
obj.updated_at = now
|
| 1056 |
-
session.commit()
|
| 1057 |
-
session.refresh(obj)
|
| 1058 |
-
session.close()
|
| 1059 |
-
if obj is None:
|
| 1060 |
-
return QuoteUpdateResponse(id=0, quote_number="", status="", internal_note=None, updated_at=None)
|
| 1061 |
-
return QuoteUpdateResponse.model_validate(obj)
|
| 1062 |
-
|
| 1063 |
-
@app.post("/api/jobs", response_model=JobResponse, summary="Create a job", description="Create a manufacturing job linked to customer, quote, and custom spec", tags=["jobs"], operation_id="create_job")
|
| 1064 |
-
async def create_job(request: JobCreateRequest = Body(...)) -> JobResponse:
|
| 1065 |
-
session = SessionLocal()
|
| 1066 |
-
due = None
|
| 1067 |
-
if request.due_date is not None:
|
| 1068 |
-
if isinstance(request.due_date, datetime):
|
| 1069 |
-
due = request.due_date.date()
|
| 1070 |
-
obj = Job(
|
| 1071 |
-
job_number=request.job_number,
|
| 1072 |
-
customer_id=request.customer_id,
|
| 1073 |
-
quote_id=request.quote_id,
|
| 1074 |
-
custom_spec_id=request.custom_spec_id,
|
| 1075 |
-
priority=request.priority,
|
| 1076 |
-
due_date=due,
|
| 1077 |
-
status=request.status,
|
| 1078 |
-
created_at=datetime.utcnow(),
|
| 1079 |
-
updated_at=datetime.utcnow(),
|
| 1080 |
-
)
|
| 1081 |
-
session.add(obj)
|
| 1082 |
-
session.commit()
|
| 1083 |
-
session.refresh(obj)
|
| 1084 |
-
session.close()
|
| 1085 |
-
resp_due = None
|
| 1086 |
-
if obj.due_date is not None:
|
| 1087 |
-
resp_due = datetime.combine(obj.due_date, datetime.min.time())
|
| 1088 |
-
return JobResponse(
|
| 1089 |
-
id=obj.id,
|
| 1090 |
-
job_number=obj.job_number,
|
| 1091 |
-
customer_id=obj.customer_id,
|
| 1092 |
-
quote_id=obj.quote_id,
|
| 1093 |
-
custom_spec_id=obj.custom_spec_id,
|
| 1094 |
-
priority=obj.priority,
|
| 1095 |
-
due_date=resp_due,
|
| 1096 |
-
status=obj.status,
|
| 1097 |
-
created_at=obj.created_at,
|
| 1098 |
-
updated_at=obj.updated_at,
|
| 1099 |
-
)
|
| 1100 |
-
|
| 1101 |
-
@app.get("/api/jobs", response_model=JobsListResponse, summary="List jobs with filters", description="Retrieve jobs filtered by customer, status, or job_number", tags=["jobs"], operation_id="list_jobs")
|
| 1102 |
-
async def list_jobs(job_number: Optional[str] = Query(None, description="Filter by exact job number", example="J-2025-0332"), customer_id: Optional[int] = Query(None, description="Filter by customer ID", example=1), status: Optional[str] = Query(None, description="Filter by job status", example="planned"), due_date_from: Optional[datetime] = Query(None, description="Filter by due date on or after this date", example="2026-01-01T00:00:00"), due_date_to: Optional[datetime] = Query(None, description="Filter by due date on or before this date", example="2026-01-31T00:00:00"), limit: Optional[int] = Query(50, description="Max records to return", example=50), offset: Optional[int] = Query(0, description="Offset for pagination", example=0)) -> JobsListResponse:
|
| 1103 |
-
session = SessionLocal()
|
| 1104 |
-
query = session.query(Job)
|
| 1105 |
-
if job_number is not None:
|
| 1106 |
-
query = query.filter(Job.job_number == job_number)
|
| 1107 |
-
if customer_id is not None:
|
| 1108 |
-
query = query.filter(Job.customer_id == customer_id)
|
| 1109 |
-
if status is not None:
|
| 1110 |
-
query = query.filter(Job.status == status)
|
| 1111 |
-
if due_date_from is not None:
|
| 1112 |
-
query = query.filter(Job.due_date >= due_date_from.date())
|
| 1113 |
-
if due_date_to is not None:
|
| 1114 |
-
query = query.filter(Job.due_date <= due_date_to.date())
|
| 1115 |
-
total = query.count()
|
| 1116 |
-
objs = query.offset(offset).limit(limit).all()
|
| 1117 |
-
items: List[JobsListItemResponse] = []
|
| 1118 |
-
for o in objs:
|
| 1119 |
-
resp_due = None
|
| 1120 |
-
if o.due_date is not None:
|
| 1121 |
-
resp_due = datetime.combine(o.due_date, datetime.min.time())
|
| 1122 |
-
items.append(JobsListItemResponse(id=o.id, job_number=o.job_number, customer_id=o.customer_id, status=o.status, priority=o.priority, due_date=resp_due))
|
| 1123 |
-
session.close()
|
| 1124 |
-
return JobsListResponse(items=items, total=total)
|
| 1125 |
-
|
| 1126 |
-
@app.get("/api/jobs/by-number/{job_number}", response_model=JobResponse, summary="Get job by job number", description="Retrieve a single job by its unique job_number", tags=["jobs"], operation_id="get_job_by_number")
|
| 1127 |
-
async def get_job_by_number(job_number: str = Path(..., description="Exact job number to lookup", example="J-2025-0332")) -> JobResponse:
|
| 1128 |
-
session = SessionLocal()
|
| 1129 |
-
obj = session.query(Job).filter(Job.job_number == job_number).first()
|
| 1130 |
-
session.close()
|
| 1131 |
-
if obj is None:
|
| 1132 |
-
return JobResponse(id=0, job_number="", customer_id=0, quote_id=None, custom_spec_id=None, priority="", due_date=None, status="", created_at=None, updated_at=None)
|
| 1133 |
-
resp_due = None
|
| 1134 |
-
if obj.due_date is not None:
|
| 1135 |
-
resp_due = datetime.combine(obj.due_date, datetime.min.time())
|
| 1136 |
-
return JobResponse(id=obj.id, job_number=obj.job_number, customer_id=obj.customer_id, quote_id=obj.quote_id, custom_spec_id=obj.custom_spec_id, priority=obj.priority, due_date=resp_due, status=obj.status, created_at=obj.created_at, updated_at=obj.updated_at)
|
| 1137 |
-
|
| 1138 |
-
@app.patch("/api/jobs/{job_id}", response_model=JobUpdateResponse, summary="Update job status or priority", description="Update mutable job fields like status, priority, or due_date", tags=["jobs"], operation_id="update_job_partial")
|
| 1139 |
-
async def update_job_partial(job_id: int = Path(..., description="Job ID to update", example=1), request: JobUpdateRequest = Body(...)) -> JobUpdateResponse:
|
| 1140 |
-
session = SessionLocal()
|
| 1141 |
-
obj = session.query(Job).filter(Job.id == job_id).first()
|
| 1142 |
-
now = datetime.utcnow()
|
| 1143 |
-
if obj is not None:
|
| 1144 |
-
if request.status is not None:
|
| 1145 |
-
obj.status = request.status
|
| 1146 |
-
if request.priority is not None:
|
| 1147 |
-
obj.priority = request.priority
|
| 1148 |
-
if request.due_date is not None:
|
| 1149 |
-
if isinstance(request.due_date, datetime):
|
| 1150 |
-
obj.due_date = request.due_date.date()
|
| 1151 |
-
obj.updated_at = now
|
| 1152 |
-
session.commit()
|
| 1153 |
-
session.refresh(obj)
|
| 1154 |
-
session.close()
|
| 1155 |
-
if obj is None:
|
| 1156 |
-
return JobUpdateResponse(id=0, job_number="", status="", priority="", due_date=None, updated_at=None)
|
| 1157 |
-
resp_due = None
|
| 1158 |
-
if obj.due_date is not None:
|
| 1159 |
-
resp_due = datetime.combine(obj.due_date, datetime.min.time())
|
| 1160 |
-
return JobUpdateResponse(id=obj.id, job_number=obj.job_number, status=obj.status, priority=obj.priority, due_date=resp_due, updated_at=obj.updated_at)
|
| 1161 |
-
|
| 1162 |
-
@app.post("/api/work-centers", response_model=WorkCenterResponse, summary="Create a work center", description="Create a new work center such as a machine or cell", tags=["work_centers"], operation_id="create_work_center")
|
| 1163 |
-
async def create_work_center(request: WorkCenterCreateRequest = Body(...)) -> WorkCenterResponse:
|
| 1164 |
-
session = SessionLocal()
|
| 1165 |
-
obj = WorkCenter(
|
| 1166 |
-
name=request.name,
|
| 1167 |
-
description=request.description,
|
| 1168 |
-
created_at=datetime.utcnow(),
|
| 1169 |
-
updated_at=datetime.utcnow(),
|
| 1170 |
-
)
|
| 1171 |
-
session.add(obj)
|
| 1172 |
-
session.commit()
|
| 1173 |
-
session.refresh(obj)
|
| 1174 |
-
session.close()
|
| 1175 |
-
return WorkCenterResponse.model_validate(obj)
|
| 1176 |
-
|
| 1177 |
-
@app.get("/api/work-centers", response_model=WorkCentersListResponse, summary="List work centers", description="Retrieve work centers with optional name filter", tags=["work_centers"], operation_id="list_work_centers")
|
| 1178 |
-
async def list_work_centers(name: Optional[str] = Query(None, description="Filter by name containing this text", example="Laser Cutter")) -> WorkCentersListResponse:
|
| 1179 |
-
session = SessionLocal()
|
| 1180 |
-
query = session.query(WorkCenter)
|
| 1181 |
-
if name is not None:
|
| 1182 |
-
query = query.filter(WorkCenter.name.contains(name))
|
| 1183 |
-
objs = query.all()
|
| 1184 |
-
items = [WorkCenterResponse.model_validate(o) for o in objs]
|
| 1185 |
-
session.close()
|
| 1186 |
-
return WorkCentersListResponse(items=items)
|
| 1187 |
-
|
| 1188 |
-
@app.get("/api/work-centers/by-name/{work_center_name}", response_model=WorkCenterResponse, summary="Get work center by name", description="Lookup a work center by its unique name", tags=["work_centers"], operation_id="get_work_center_by_name")
|
| 1189 |
-
async def get_work_center_by_name(work_center_name: str = Path(..., description="Exact work center name", example="Laser Cutter LC-01")) -> WorkCenterResponse:
|
| 1190 |
-
session = SessionLocal()
|
| 1191 |
-
obj = session.query(WorkCenter).filter(WorkCenter.name == work_center_name).first()
|
| 1192 |
-
session.close()
|
| 1193 |
-
if obj is None:
|
| 1194 |
-
return WorkCenterResponse(id=0, name="", description=None, created_at=None, updated_at=None)
|
| 1195 |
-
return WorkCenterResponse.model_validate(obj)
|
| 1196 |
-
|
| 1197 |
-
@app.post("/api/job-tasks", response_model=JobTaskResponse, summary="Create a job task", description="Create a single job task step for a specific job and work center", tags=["job_tasks"], operation_id="create_job_task")
|
| 1198 |
-
async def create_job_task(request: JobTaskCreateRequest = Body(...)) -> JobTaskResponse:
|
| 1199 |
-
session = SessionLocal()
|
| 1200 |
-
obj = JobTask(
|
| 1201 |
-
task_code=request.task_code,
|
| 1202 |
-
job_id=request.job_id,
|
| 1203 |
-
sequence_order=request.sequence_order,
|
| 1204 |
-
task_name=request.task_name,
|
| 1205 |
-
work_center_id=request.work_center_id,
|
| 1206 |
-
requiring_skill_level=request.requiring_skill_level,
|
| 1207 |
-
planned_start=request.planned_start,
|
| 1208 |
-
planned_finish=request.planned_finish,
|
| 1209 |
-
planned_duration_hours=request.planned_duration_hours,
|
| 1210 |
-
actual_start=None,
|
| 1211 |
-
actual_finish=None,
|
| 1212 |
-
created_at=datetime.utcnow(),
|
| 1213 |
-
updated_at=datetime.utcnow(),
|
| 1214 |
-
)
|
| 1215 |
-
session.add(obj)
|
| 1216 |
-
session.commit()
|
| 1217 |
-
session.refresh(obj)
|
| 1218 |
-
session.close()
|
| 1219 |
-
return JobTaskResponse.model_validate(obj)
|
| 1220 |
-
|
| 1221 |
-
@app.get("/api/job-tasks", response_model=JobTasksListResponse, summary="List job tasks with filters", description="List job tasks filtered by job, work center, or date range", tags=["job_tasks"], operation_id="list_job_tasks")
|
| 1222 |
-
async def list_job_tasks(job_id: Optional[int] = Query(None, description="Filter by job ID", example=1), work_center_id: Optional[int] = Query(None, description="Filter by work center ID", example=1), planned_start_from: Optional[datetime] = Query(None, description="Filter tasks with planned_start on or after this datetime", example="2026-01-01T00:00:00"), planned_finish_to: Optional[datetime] = Query(None, description="Filter tasks with planned_finish on or before this datetime", example="2026-01-31T23:59:59"), limit: Optional[int] = Query(100, description="Max records to return", example=100), offset: Optional[int] = Query(0, description="Offset for pagination", example=0)) -> JobTasksListResponse:
|
| 1223 |
-
session = SessionLocal()
|
| 1224 |
-
query = session.query(JobTask)
|
| 1225 |
-
if job_id is not None:
|
| 1226 |
-
query = query.filter(JobTask.job_id == job_id)
|
| 1227 |
-
if work_center_id is not None:
|
| 1228 |
-
query = query.filter(JobTask.work_center_id == work_center_id)
|
| 1229 |
-
if planned_start_from is not None:
|
| 1230 |
-
query = query.filter(JobTask.planned_start >= planned_start_from)
|
| 1231 |
-
if planned_finish_to is not None:
|
| 1232 |
-
query = query.filter(JobTask.planned_finish <= planned_finish_to)
|
| 1233 |
-
total = query.count()
|
| 1234 |
-
objs = query.offset(offset).limit(limit).all()
|
| 1235 |
-
items = [JobTasksListItemResponse.model_validate(o) for o in objs]
|
| 1236 |
-
session.close()
|
| 1237 |
-
return JobTasksListResponse(items=items, total=total)
|
| 1238 |
-
|
| 1239 |
-
@app.get("/api/job-tasks/by-code/{task_code}", response_model=JobTaskResponse, summary="Get job task by task code", description="Retrieve a single job task by its unique task_code", tags=["job_tasks"], operation_id="get_job_task_by_code")
|
| 1240 |
-
async def get_job_task_by_code(task_code: str = Path(..., description="Task code to lookup", example="JT-8793")) -> JobTaskResponse:
|
| 1241 |
-
session = SessionLocal()
|
| 1242 |
-
obj = session.query(JobTask).filter(JobTask.task_code == task_code).first()
|
| 1243 |
-
session.close()
|
| 1244 |
-
if obj is None:
|
| 1245 |
-
return JobTaskResponse(id=0, task_code="", job_id=0, sequence_order=0, task_name="", work_center_id=0, requiring_skill_level=None, planned_start=None, planned_finish=None, planned_duration_hours=None, actual_start=None, actual_finish=None, created_at=None, updated_at=None)
|
| 1246 |
-
return JobTaskResponse.model_validate(obj)
|
| 1247 |
-
|
| 1248 |
-
@app.post("/api/time-logs", response_model=TimeLogResponse, summary="Create a time log for a job task", description="Record actual time, scrap, and notes for a job task at a work center", tags=["time_logs"], operation_id="create_time_log")
|
| 1249 |
-
async def create_time_log(request: TimeLogCreateRequest = Body(...)) -> TimeLogResponse:
|
| 1250 |
-
session = SessionLocal()
|
| 1251 |
-
log_start_value = request.log_start if request.log_start is not None else datetime.utcnow()
|
| 1252 |
-
scrap_quantity_value = request.scrap_quantity if request.scrap_quantity is not None else 0
|
| 1253 |
-
obj = TimeLog(
|
| 1254 |
-
job_task_id=request.job_task_id,
|
| 1255 |
-
operator_username=request.operator_username,
|
| 1256 |
-
work_center_id=request.work_center_id,
|
| 1257 |
-
log_start=log_start_value,
|
| 1258 |
-
actual_duration_hours=request.actual_duration_hours,
|
| 1259 |
-
scrap_quantity=scrap_quantity_value,
|
| 1260 |
-
note=request.note,
|
| 1261 |
-
created_at=datetime.utcnow(),
|
| 1262 |
-
updated_at=datetime.utcnow(),
|
| 1263 |
-
)
|
| 1264 |
-
session.add(obj)
|
| 1265 |
-
session.commit()
|
| 1266 |
-
session.refresh(obj)
|
| 1267 |
-
session.close()
|
| 1268 |
-
return TimeLogResponse.model_validate(obj)
|
| 1269 |
-
|
| 1270 |
-
@app.get("/api/time-logs", response_model=TimeLogsListResponse, summary="List time logs with filters", description="List time logs by job_task, work center, or date range", tags=["time_logs"], operation_id="list_time_logs")
|
| 1271 |
-
async def list_time_logs(job_task_id: Optional[int] = Query(None, description="Filter by job task ID", example=1), work_center_id: Optional[int] = Query(None, description="Filter by work center ID", example=2), log_start_from: Optional[datetime] = Query(None, description="Filter logs with log_start on or after this datetime", example="2026-01-01T00:00:00"), log_start_to: Optional[datetime] = Query(None, description="Filter logs with log_start on or before this datetime", example="2026-01-31T23:59:59"), limit: Optional[int] = Query(100, description="Max records to return", example=100), offset: Optional[int] = Query(0, description="Offset for pagination", example=0)) -> TimeLogsListResponse:
|
| 1272 |
-
session = SessionLocal()
|
| 1273 |
-
query = session.query(TimeLog)
|
| 1274 |
-
if job_task_id is not None:
|
| 1275 |
-
query = query.filter(TimeLog.job_task_id == job_task_id)
|
| 1276 |
-
if work_center_id is not None:
|
| 1277 |
-
query = query.filter(TimeLog.work_center_id == work_center_id)
|
| 1278 |
-
if log_start_from is not None:
|
| 1279 |
-
query = query.filter(TimeLog.log_start >= log_start_from)
|
| 1280 |
-
if log_start_to is not None:
|
| 1281 |
-
query = query.filter(TimeLog.log_start <= log_start_to)
|
| 1282 |
-
total = query.count()
|
| 1283 |
-
objs = query.offset(offset).limit(limit).all()
|
| 1284 |
-
items = [TimeLogsListItemResponse.model_validate(o) for o in objs]
|
| 1285 |
-
session.close()
|
| 1286 |
-
return TimeLogsListResponse(items=items, total=total)
|
| 1287 |
-
|
| 1288 |
-
@app.post("/api/materials", response_model=MaterialResponse, summary="Create a material", description="Create a new material definition with unit of measure", tags=["materials"], operation_id="create_material")
|
| 1289 |
-
async def create_material(request: MaterialCreateRequest = Body(...)) -> MaterialResponse:
|
| 1290 |
-
session = SessionLocal()
|
| 1291 |
-
obj = Material(
|
| 1292 |
-
name=request.name,
|
| 1293 |
-
unit_of_measure=request.unit_of_measure,
|
| 1294 |
-
created_at=datetime.utcnow(),
|
| 1295 |
-
updated_at=datetime.utcnow(),
|
| 1296 |
-
)
|
| 1297 |
-
session.add(obj)
|
| 1298 |
-
session.commit()
|
| 1299 |
-
session.refresh(obj)
|
| 1300 |
-
session.close()
|
| 1301 |
-
return MaterialResponse.model_validate(obj)
|
| 1302 |
-
|
| 1303 |
-
@app.get("/api/materials", response_model=MaterialsListResponse, summary="List materials", description="Retrieve materials with optional name filter", tags=["materials"], operation_id="list_materials")
|
| 1304 |
-
async def list_materials(name: Optional[str] = Query(None, description="Filter materials containing this name", example="Cold Rolled Steel")) -> MaterialsListResponse:
|
| 1305 |
-
session = SessionLocal()
|
| 1306 |
-
query = session.query(Material)
|
| 1307 |
-
if name is not None:
|
| 1308 |
-
query = query.filter(Material.name.contains(name))
|
| 1309 |
-
objs = query.all()
|
| 1310 |
-
items = [MaterialResponse.model_validate(o) for o in objs]
|
| 1311 |
-
session.close()
|
| 1312 |
-
return MaterialsListResponse(items=items)
|
| 1313 |
-
|
| 1314 |
-
@app.get("/api/materials/by-name/{material_name}", response_model=MaterialResponse, summary="Get material by name", description="Lookup a material by its unique name", tags=["materials"], operation_id="get_material_by_name")
|
| 1315 |
-
async def get_material_by_name(material_name: str = Path(..., description="Exact material name", example="Cold Rolled Steel Sheet 2mm")) -> MaterialResponse:
|
| 1316 |
-
session = SessionLocal()
|
| 1317 |
-
obj = session.query(Material).filter(Material.name == material_name).first()
|
| 1318 |
-
session.close()
|
| 1319 |
-
if obj is None:
|
| 1320 |
-
return MaterialResponse(id=0, name="", unit_of_measure="", created_at=None, updated_at=None)
|
| 1321 |
-
return MaterialResponse.model_validate(obj)
|
| 1322 |
-
|
| 1323 |
-
@app.post("/api/inventory-lots", response_model=InventoryLotResponse, summary="Create an inventory lot", description="Create a new inventory lot for a material with quantity balances", tags=["inventory_lots"], operation_id="create_inventory_lot")
|
| 1324 |
-
async def create_inventory_lot(request: InventoryLotCreateRequest = Body(...)) -> InventoryLotResponse:
|
| 1325 |
-
session = SessionLocal()
|
| 1326 |
-
reserved = request.reserved_quantity if request.reserved_quantity is not None else 0.0
|
| 1327 |
-
obj = InventoryLot(
|
| 1328 |
-
lot_number=request.lot_number,
|
| 1329 |
-
material_id=request.material_id,
|
| 1330 |
-
on_hand_quantity=request.on_hand_quantity,
|
| 1331 |
-
reserved_quantity=reserved,
|
| 1332 |
-
created_at=datetime.utcnow(),
|
| 1333 |
-
updated_at=datetime.utcnow(),
|
| 1334 |
-
)
|
| 1335 |
-
session.add(obj)
|
| 1336 |
-
session.commit()
|
| 1337 |
-
session.refresh(obj)
|
| 1338 |
-
session.close()
|
| 1339 |
-
return InventoryLotResponse.model_validate(obj)
|
| 1340 |
-
|
| 1341 |
-
@app.get("/api/inventory-lots", response_model=InventoryLotsListResponse, summary="List inventory lots", description="List inventory lots filtered by material or lot_number", tags=["inventory_lots"], operation_id="list_inventory_lots")
|
| 1342 |
-
async def list_inventory_lots(lot_number: Optional[str] = Query(None, description="Filter by exact lot number", example="LOT-CRS-2401"), material_id: Optional[int] = Query(None, description="Filter by material ID", example=1)) -> InventoryLotsListResponse:
|
| 1343 |
-
session = SessionLocal()
|
| 1344 |
-
query = session.query(InventoryLot)
|
| 1345 |
-
if lot_number is not None:
|
| 1346 |
-
query = query.filter(InventoryLot.lot_number == lot_number)
|
| 1347 |
-
if material_id is not None:
|
| 1348 |
-
query = query.filter(InventoryLot.material_id == material_id)
|
| 1349 |
-
objs = query.all()
|
| 1350 |
-
items = [InventoryLotsListItemResponse.model_validate(o) for o in objs]
|
| 1351 |
-
session.close()
|
| 1352 |
-
return InventoryLotsListResponse(items=items)
|
| 1353 |
-
|
| 1354 |
-
@app.get("/api/inventory-lots/by-number/{lot_number}", response_model=InventoryLotResponse, summary="Get inventory lot by lot number", description="Retrieve a single inventory lot by its unique lot_number", tags=["inventory_lots"], operation_id="get_inventory_lot_by_number")
|
| 1355 |
-
async def get_inventory_lot_by_number(lot_number: str = Path(..., description="Exact lot number", example="LOT-CRS-2401")) -> InventoryLotResponse:
|
| 1356 |
-
session = SessionLocal()
|
| 1357 |
-
obj = session.query(InventoryLot).filter(InventoryLot.lot_number == lot_number).first()
|
| 1358 |
-
session.close()
|
| 1359 |
-
if obj is None:
|
| 1360 |
-
return InventoryLotResponse(id=0, lot_number="", material_id=0, on_hand_quantity=0.0, reserved_quantity=0.0, created_at=None, updated_at=None)
|
| 1361 |
-
return InventoryLotResponse.model_validate(obj)
|
| 1362 |
-
|
| 1363 |
-
@app.post("/api/inventory-lots/{inventory_lot_id}/adjust", response_model=InventoryLotAdjustResponse, summary="Adjust inventory lot quantities", description="Atomically adjust on_hand_quantity and reserved_quantity for a lot", tags=["inventory_lots"], operation_id="adjust_inventory_lot")
|
| 1364 |
-
async def adjust_inventory_lot(inventory_lot_id: int = Path(..., description="Inventory lot ID", example=1), request: InventoryLotAdjustRequest = Body(...)) -> InventoryLotAdjustResponse:
|
| 1365 |
-
session = SessionLocal()
|
| 1366 |
-
obj = session.query(InventoryLot).filter(InventoryLot.id == inventory_lot_id).first()
|
| 1367 |
-
if obj is not None:
|
| 1368 |
-
if request.on_hand_delta is not None:
|
| 1369 |
-
obj.on_hand_quantity = obj.on_hand_quantity + request.on_hand_delta
|
| 1370 |
-
if request.reserved_delta is not None:
|
| 1371 |
-
obj.reserved_quantity = obj.reserved_quantity + request.reserved_delta
|
| 1372 |
-
obj.updated_at = datetime.utcnow()
|
| 1373 |
-
session.commit()
|
| 1374 |
-
session.refresh(obj)
|
| 1375 |
-
session.close()
|
| 1376 |
-
if obj is None:
|
| 1377 |
-
return InventoryLotAdjustResponse(id=0, lot_number="", on_hand_quantity=0.0, reserved_quantity=0.0, updated_at=None)
|
| 1378 |
-
return InventoryLotAdjustResponse.model_validate(obj)
|
| 1379 |
-
|
| 1380 |
-
@app.post("/api/material-reservations", response_model=MaterialReservationResponse, summary="Create a material reservation", description="Reserve a quantity from an inventory lot for a job", tags=["material_reservations"], operation_id="create_material_reservation")
|
| 1381 |
-
async def create_material_reservation(request: MaterialReservationCreateRequest = Body(...)) -> MaterialReservationResponse:
|
| 1382 |
-
session = SessionLocal()
|
| 1383 |
-
obj = MaterialReservation(
|
| 1384 |
-
job_id=request.job_id,
|
| 1385 |
-
inventory_lot_id=request.inventory_lot_id,
|
| 1386 |
-
quantity=request.quantity,
|
| 1387 |
-
created_at=datetime.utcnow(),
|
| 1388 |
-
updated_at=datetime.utcnow(),
|
| 1389 |
-
)
|
| 1390 |
-
session.add(obj)
|
| 1391 |
-
lot = session.query(InventoryLot).filter(InventoryLot.id == request.inventory_lot_id).first()
|
| 1392 |
-
if lot is not None:
|
| 1393 |
-
lot.reserved_quantity = lot.reserved_quantity + request.quantity
|
| 1394 |
-
lot.on_hand_quantity = lot.on_hand_quantity - request.quantity
|
| 1395 |
-
lot.updated_at = datetime.utcnow()
|
| 1396 |
-
session.commit()
|
| 1397 |
-
session.refresh(obj)
|
| 1398 |
-
session.close()
|
| 1399 |
-
return MaterialReservationResponse.model_validate(obj)
|
| 1400 |
-
|
| 1401 |
-
@app.get("/api/material-reservations", response_model=MaterialReservationsListResponse, summary="List material reservations", description="List material reservations filtered by job or inventory lot", tags=["material_reservations"], operation_id="list_material_reservations")
|
| 1402 |
-
async def list_material_reservations(job_id: Optional[int] = Query(None, description="Filter by job ID", example=1), inventory_lot_id: Optional[int] = Query(None, description="Filter by inventory lot ID", example=1)) -> MaterialReservationsListResponse:
|
| 1403 |
-
session = SessionLocal()
|
| 1404 |
-
query = session.query(MaterialReservation)
|
| 1405 |
-
if job_id is not None:
|
| 1406 |
-
query = query.filter(MaterialReservation.job_id == job_id)
|
| 1407 |
-
if inventory_lot_id is not None:
|
| 1408 |
-
query = query.filter(MaterialReservation.inventory_lot_id == inventory_lot_id)
|
| 1409 |
-
objs = query.all()
|
| 1410 |
-
items = [MaterialReservationsListItemResponse.model_validate(o) for o in objs]
|
| 1411 |
-
session.close()
|
| 1412 |
-
return MaterialReservationsListResponse(items=items)
|
| 1413 |
-
|
| 1414 |
-
@app.post("/api/shipments", response_model=ShipmentResponse, summary="Create a shipment", description="Create a shipment record for a job and customer with initial status", tags=["shipments"], operation_id="create_shipment")
|
| 1415 |
-
async def create_shipment(request: ShipmentCreateRequest = Body(...)) -> ShipmentResponse:
|
| 1416 |
-
session = SessionLocal()
|
| 1417 |
-
obj = Shipment(
|
| 1418 |
-
shipment_number=request.shipment_number,
|
| 1419 |
-
job_id=request.job_id,
|
| 1420 |
-
customer_id=request.customer_id,
|
| 1421 |
-
delivery_status=request.delivery_status,
|
| 1422 |
-
shipped_at=request.shipped_at,
|
| 1423 |
-
delivered_at=request.delivered_at,
|
| 1424 |
-
created_at=datetime.utcnow(),
|
| 1425 |
-
updated_at=datetime.utcnow(),
|
| 1426 |
-
)
|
| 1427 |
-
session.add(obj)
|
| 1428 |
-
session.commit()
|
| 1429 |
-
session.refresh(obj)
|
| 1430 |
-
session.close()
|
| 1431 |
-
return ShipmentResponse.model_validate(obj)
|
| 1432 |
-
|
| 1433 |
-
@app.get("/api/shipments", response_model=ShipmentsListResponse, summary="List shipments", description="List shipments filtered by job, customer, or status", tags=["shipments"], operation_id="list_shipments")
|
| 1434 |
-
async def list_shipments(shipment_number: Optional[str] = Query(None, description="Filter by shipment number", example="SHP-2025-0101"), job_id: Optional[int] = Query(None, description="Filter by job ID", example=1), customer_id: Optional[int] = Query(None, description="Filter by customer ID", example=1), delivery_status: Optional[str] = Query(None, description="Filter by delivery status", example="in_transit")) -> ShipmentsListResponse:
|
| 1435 |
-
session = SessionLocal()
|
| 1436 |
-
query = session.query(Shipment)
|
| 1437 |
-
if shipment_number is not None:
|
| 1438 |
-
query = query.filter(Shipment.shipment_number == shipment_number)
|
| 1439 |
-
if job_id is not None:
|
| 1440 |
-
query = query.filter(Shipment.job_id == job_id)
|
| 1441 |
-
if customer_id is not None:
|
| 1442 |
-
query = query.filter(Shipment.customer_id == customer_id)
|
| 1443 |
-
if delivery_status is not None:
|
| 1444 |
-
query = query.filter(Shipment.delivery_status == delivery_status)
|
| 1445 |
-
objs = query.all()
|
| 1446 |
-
items = [ShipmentsListItemResponse.model_validate(o) for o in objs]
|
| 1447 |
-
session.close()
|
| 1448 |
-
return ShipmentsListResponse(items=items)
|
| 1449 |
-
|
| 1450 |
-
@app.patch("/api/shipments/{shipment_id}", response_model=ShipmentUpdateResponse, summary="Update shipment status or dates", description="Update shipment delivery_status, shipped_at, or delivered_at", tags=["shipments"], operation_id="update_shipment_partial")
|
| 1451 |
-
async def update_shipment_partial(shipment_id: int = Path(..., description="Shipment ID", example=1), request: ShipmentUpdateRequest = Body(...)) -> ShipmentUpdateResponse:
|
| 1452 |
-
session = SessionLocal()
|
| 1453 |
-
obj = session.query(Shipment).filter(Shipment.id == shipment_id).first()
|
| 1454 |
-
now = datetime.utcnow()
|
| 1455 |
-
if obj is not None:
|
| 1456 |
-
if request.delivery_status is not None:
|
| 1457 |
-
obj.delivery_status = request.delivery_status
|
| 1458 |
-
if request.shipped_at is not None:
|
| 1459 |
-
obj.shipped_at = request.shipped_at
|
| 1460 |
-
if request.delivered_at is not None:
|
| 1461 |
-
obj.delivered_at = request.delivered_at
|
| 1462 |
-
obj.updated_at = now
|
| 1463 |
-
session.commit()
|
| 1464 |
-
session.refresh(obj)
|
| 1465 |
-
session.close()
|
| 1466 |
-
if obj is None:
|
| 1467 |
-
return ShipmentUpdateResponse(id=0, shipment_number="", delivery_status="", shipped_at=None, delivered_at=None, updated_at=None)
|
| 1468 |
-
return ShipmentUpdateResponse.model_validate(obj)
|
| 1469 |
-
|
| 1470 |
-
@app.post("/api/shipment-packages", response_model=ShipmentPackageResponse, summary="Create a shipment package", description="Create a single package entry for an existing shipment", tags=["shipment_packages"], operation_id="create_shipment_package")
|
| 1471 |
-
async def create_shipment_package(request: ShipmentPackageCreateRequest = Body(...)) -> ShipmentPackageResponse:
|
| 1472 |
-
session = SessionLocal()
|
| 1473 |
-
obj = ShipmentPackage(
|
| 1474 |
-
shipment_id=request.shipment_id,
|
| 1475 |
-
package_number=request.package_number,
|
| 1476 |
-
weight_kg=request.weight_kg,
|
| 1477 |
-
tracking_number=request.tracking_number,
|
| 1478 |
-
created_at=datetime.utcnow(),
|
| 1479 |
-
updated_at=datetime.utcnow(),
|
| 1480 |
-
)
|
| 1481 |
-
session.add(obj)
|
| 1482 |
-
session.commit()
|
| 1483 |
-
session.refresh(obj)
|
| 1484 |
-
session.close()
|
| 1485 |
-
return ShipmentPackageResponse.model_validate(obj)
|
| 1486 |
-
|
| 1487 |
-
@app.get("/api/shipment-packages", response_model=ShipmentPackagesListResponse, summary="List shipment packages", description="List packages filtered by shipment or tracking_number", tags=["shipment_packages"], operation_id="list_shipment_packages")
|
| 1488 |
-
async def list_shipment_packages(shipment_id: Optional[int] = Query(None, description="Filter by shipment ID", example=1), tracking_number: Optional[str] = Query(None, description="Filter by tracking number", example="CBX123456US")) -> ShipmentPackagesListResponse:
|
| 1489 |
-
session = SessionLocal()
|
| 1490 |
-
query = session.query(ShipmentPackage)
|
| 1491 |
-
if shipment_id is not None:
|
| 1492 |
-
query = query.filter(ShipmentPackage.shipment_id == shipment_id)
|
| 1493 |
-
if tracking_number is not None:
|
| 1494 |
-
query = query.filter(ShipmentPackage.tracking_number == tracking_number)
|
| 1495 |
-
objs = query.all()
|
| 1496 |
-
items = [ShipmentPackagesListItemResponse.model_validate(o) for o in objs]
|
| 1497 |
-
session.close()
|
| 1498 |
-
return ShipmentPackagesListResponse(items=items)
|
| 1499 |
-
|
| 1500 |
-
@app.get("/api/work-centers/{work_center_id}/capacity-utilization", response_model=CapacityUtilizationResponse, summary="Get work center capacity utilization", description="Aggregate planned vs actual hours for a work center over a date range", tags=["capacity", "work_centers", "job_tasks", "time_logs"], operation_id="get_work_center_capacity_utilization")
|
| 1501 |
-
async def get_work_center_capacity_utilization(work_center_id: int = Path(..., description="Work center ID to analyze", example=1), planned_from: datetime = Query(..., description="Start of planned window (inclusive, ISO8601 datetime)", example="2026-01-01T00:00:00"), planned_to: datetime = Query(..., description="End of planned window (inclusive, ISO8601 datetime)", example="2026-01-31T23:59:59")) -> CapacityUtilizationResponse:
|
| 1502 |
-
session = SessionLocal()
|
| 1503 |
-
tasks_query = session.query(JobTask).filter(JobTask.work_center_id == work_center_id, JobTask.planned_start != None, JobTask.planned_finish != None, JobTask.planned_start >= planned_from, JobTask.planned_finish <= planned_to)
|
| 1504 |
-
tasks = tasks_query.all()
|
| 1505 |
-
total_planned_hours = 0.0
|
| 1506 |
-
total_actual_hours = 0.0
|
| 1507 |
-
items: List[CapacityTaskItem] = []
|
| 1508 |
-
for t in tasks:
|
| 1509 |
-
planned = t.planned_duration_hours if t.planned_duration_hours is not None else 0.0
|
| 1510 |
-
total_planned_hours = total_planned_hours + planned
|
| 1511 |
-
logs = session.query(TimeLog).filter(TimeLog.job_task_id == t.id, TimeLog.work_center_id == work_center_id).all()
|
| 1512 |
-
actual_sum = 0.0
|
| 1513 |
-
for lg in logs:
|
| 1514 |
-
actual_sum = actual_sum + float(lg.actual_duration_hours)
|
| 1515 |
-
total_actual_hours = total_actual_hours + actual_sum
|
| 1516 |
-
items.append(CapacityTaskItem(job_task_id=t.id, task_code=t.task_code, job_id=t.job_id, task_name=t.task_name, planned_start=t.planned_start, planned_finish=t.planned_finish, planned_duration_hours=t.planned_duration_hours if t.planned_duration_hours is not None else 0.0, actual_hours=actual_sum))
|
| 1517 |
-
session.close()
|
| 1518 |
-
return CapacityUtilizationResponse(work_center_id=work_center_id, planned_from=planned_from, planned_to=planned_to, total_planned_hours=total_planned_hours, total_actual_hours=total_actual_hours, job_tasks=items)
|
| 1519 |
-
|
| 1520 |
-
if __name__ == "__main__":
|
| 1521 |
-
import uvicorn
|
| 1522 |
-
host = os.getenv("HOST", "127.0.0.1")
|
| 1523 |
-
port = int(os.getenv("PORT", "8000"))
|
| 1524 |
-
uvicorn.run(app, host=host, port=port)
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|
components/awm/private/tasks/awm-manufacturing-1-schedule/original_verifier.py
DELETED
|
@@ -1,104 +0,0 @@
|
|
| 1 |
-
def verify_task_completion(initial_db_path: str, final_db_path: str, final_answer: str | None = None) -> dict:
|
| 2 |
-
import sqlite3
|
| 3 |
-
from datetime import datetime
|
| 4 |
-
|
| 5 |
-
def safe_query(db_path: str, query: str, params: tuple = ()) -> list:
|
| 6 |
-
try:
|
| 7 |
-
conn = sqlite3.connect(f"file:{db_path}?mode=ro", uri=True)
|
| 8 |
-
cursor = conn.cursor()
|
| 9 |
-
cursor.execute(query, params)
|
| 10 |
-
results = cursor.fetchall()
|
| 11 |
-
conn.close()
|
| 12 |
-
return results
|
| 13 |
-
except Exception:
|
| 14 |
-
return []
|
| 15 |
-
|
| 16 |
-
# Get job_id for J-2025-0332
|
| 17 |
-
job_query = "SELECT id FROM jobs WHERE job_number = ?"
|
| 18 |
-
job_results = safe_query(final_db_path, job_query, ('J-2025-0332',))
|
| 19 |
-
if not job_results:
|
| 20 |
-
return {"result": "others"}
|
| 21 |
-
job_id = job_results[0][0]
|
| 22 |
-
|
| 23 |
-
# Get work center IDs
|
| 24 |
-
wc_query = "SELECT id, name FROM work_centers WHERE name IN (?, ?, ?)"
|
| 25 |
-
wc_results = safe_query(final_db_path, wc_query, ('Laser Cutter LC-01', 'Weld Cell WC-02', 'Paint Booth PB-01'))
|
| 26 |
-
if len(wc_results) != 3:
|
| 27 |
-
return {"result": "others"}
|
| 28 |
-
|
| 29 |
-
wc_map = {name: wc_id for wc_id, name in wc_results}
|
| 30 |
-
laser_cutter_id = wc_map.get('Laser Cutter LC-01')
|
| 31 |
-
weld_cell_id = wc_map.get('Weld Cell WC-02')
|
| 32 |
-
paint_booth_id = wc_map.get('Paint Booth PB-01')
|
| 33 |
-
|
| 34 |
-
if not all([laser_cutter_id, weld_cell_id, paint_booth_id]):
|
| 35 |
-
return {"result": "others"}
|
| 36 |
-
|
| 37 |
-
# Count initial job_tasks for this job
|
| 38 |
-
initial_tasks_query = "SELECT COUNT(*) FROM job_tasks WHERE job_id = ?"
|
| 39 |
-
initial_count_result = safe_query(initial_db_path, initial_tasks_query, (job_id,))
|
| 40 |
-
initial_count = initial_count_result[0][0] if initial_count_result else 0
|
| 41 |
-
|
| 42 |
-
# Count final job_tasks for this job
|
| 43 |
-
final_count_result = safe_query(final_db_path, initial_tasks_query, (job_id,))
|
| 44 |
-
final_count = final_count_result[0][0] if final_count_result else 0
|
| 45 |
-
|
| 46 |
-
# Should have exactly 3 more tasks
|
| 47 |
-
if final_count != initial_count + 3:
|
| 48 |
-
return {"result": "others"}
|
| 49 |
-
|
| 50 |
-
# Get all job_tasks for this job from final database
|
| 51 |
-
tasks_query = """SELECT task_name, work_center_id, requiring_skill_level,
|
| 52 |
-
planned_start, planned_finish
|
| 53 |
-
FROM job_tasks
|
| 54 |
-
WHERE job_id = ?
|
| 55 |
-
ORDER BY id"""
|
| 56 |
-
final_tasks = safe_query(final_db_path, tasks_query, (job_id,))
|
| 57 |
-
|
| 58 |
-
if len(final_tasks) < 3:
|
| 59 |
-
return {"result": "others"}
|
| 60 |
-
|
| 61 |
-
# Get the last 3 tasks (newly added)
|
| 62 |
-
new_tasks = final_tasks[-3:]
|
| 63 |
-
|
| 64 |
-
# Expected task definitions
|
| 65 |
-
expected_tasks = [
|
| 66 |
-
('cutting', laser_cutter_id, 'intermediate', '2026-01-05 08:00:00', '2026-01-05 10:00:00'),
|
| 67 |
-
('welding', weld_cell_id, 'advanced', '2026-01-05 11:00:00', '2026-01-05 14:00:00'),
|
| 68 |
-
('painting', paint_booth_id, 'intermediate', '2026-01-06 09:00:00', '2026-01-06 11:00:00')
|
| 69 |
-
]
|
| 70 |
-
|
| 71 |
-
# Verify each new task matches expected values
|
| 72 |
-
for i, (task_name, work_center_id, skill_level, planned_start, planned_finish) in enumerate(new_tasks):
|
| 73 |
-
expected = expected_tasks[i]
|
| 74 |
-
|
| 75 |
-
# Check task_name
|
| 76 |
-
if task_name != expected[0]:
|
| 77 |
-
return {"result": "others"}
|
| 78 |
-
|
| 79 |
-
# Check work_center_id
|
| 80 |
-
if work_center_id != expected[1]:
|
| 81 |
-
return {"result": "others"}
|
| 82 |
-
|
| 83 |
-
# Check requiring_skill_level
|
| 84 |
-
if skill_level != expected[2]:
|
| 85 |
-
return {"result": "others"}
|
| 86 |
-
|
| 87 |
-
# Check planned_start (normalize format)
|
| 88 |
-
if planned_start:
|
| 89 |
-
planned_start_normalized = planned_start.replace('T', ' ').replace('.000000', '')
|
| 90 |
-
if planned_start_normalized != expected[3]:
|
| 91 |
-
return {"result": "others"}
|
| 92 |
-
else:
|
| 93 |
-
return {"result": "others"}
|
| 94 |
-
|
| 95 |
-
# Check planned_finish (normalize format)
|
| 96 |
-
if planned_finish:
|
| 97 |
-
planned_finish_normalized = planned_finish.replace('T', ' ').replace('.000000', '')
|
| 98 |
-
if planned_finish_normalized != expected[4]:
|
| 99 |
-
return {"result": "others"}
|
| 100 |
-
else:
|
| 101 |
-
return {"result": "others"}
|
| 102 |
-
|
| 103 |
-
# All checks passed
|
| 104 |
-
return {"result": "complete"}
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
components/awm/runtime/awm/adapter.py
CHANGED
|
@@ -58,7 +58,7 @@ class AWMAdapter:
|
|
| 58 |
|
| 59 |
def _terminal(self):
|
| 60 |
if self.reward is None:
|
| 61 |
-
|
| 62 |
if type(reward) not in (int,float) or not math.isfinite(reward) or reward not in (0,1):raise RuntimeError('Invalid original AWM reward')
|
| 63 |
self.reward=float(reward)
|
| 64 |
self.done=True
|
|
@@ -70,13 +70,16 @@ class AWMAdapter:
|
|
| 70 |
if hasattr(action,'action_payload'):action=action.action_payload()
|
| 71 |
jsonschema.validate(action,ACTION_SCHEMA)
|
| 72 |
if self.done:return self._terminal()
|
| 73 |
-
if time.monotonic()-self.started>=self.registry[self.task_id]['timeout_seconds']:return self._terminal()
|
| 74 |
if action['op']=='finish':return self._terminal()
|
|
|
|
|
|
|
| 75 |
if action['op']=='exec':
|
| 76 |
return observation_payload(self.task_id,'Shell execution is unavailable. Use a listed business tool.',{'is_error':True,'tool_calls':self.tool_calls},reward=0.0,done=False)
|
| 77 |
value=self._worker('call',{'name':action['tool'],'arguments':action['arguments']});self.tool_calls=value['tool_calls']
|
| 78 |
-
|
| 79 |
-
|
|
|
|
|
|
|
| 80 |
|
| 81 |
@property
|
| 82 |
@serialized
|
|
|
|
| 58 |
|
| 59 |
def _terminal(self):
|
| 60 |
if self.reward is None:
|
| 61 |
+
value=self._worker('finish');reward=value['reward']
|
| 62 |
if type(reward) not in (int,float) or not math.isfinite(reward) or reward not in (0,1):raise RuntimeError('Invalid original AWM reward')
|
| 63 |
self.reward=float(reward)
|
| 64 |
self.done=True
|
|
|
|
| 70 |
if hasattr(action,'action_payload'):action=action.action_payload()
|
| 71 |
jsonschema.validate(action,ACTION_SCHEMA)
|
| 72 |
if self.done:return self._terminal()
|
|
|
|
| 73 |
if action['op']=='finish':return self._terminal()
|
| 74 |
+
if time.monotonic()-self.started>=self.registry[self.task_id]['timeout_seconds']:
|
| 75 |
+
return observation_payload(self.task_id,'Episode time limit reached. Send {"op":"finish"}.',{'finish_required':True,'tool_calls':self.tool_calls},reward=0.0,done=False)
|
| 76 |
if action['op']=='exec':
|
| 77 |
return observation_payload(self.task_id,'Shell execution is unavailable. Use a listed business tool.',{'is_error':True,'tool_calls':self.tool_calls},reward=0.0,done=False)
|
| 78 |
value=self._worker('call',{'name':action['tool'],'arguments':action['arguments']});self.tool_calls=value['tool_calls']
|
| 79 |
+
data={'is_error':value['is_error'],'tool_calls':self.tool_calls}
|
| 80 |
+
if time.monotonic()-self.started>=self.registry[self.task_id]['timeout_seconds']:
|
| 81 |
+
data['finish_required']=True
|
| 82 |
+
return observation_payload(self.task_id,value['content'],data,reward=0.0,done=False)
|
| 83 |
|
| 84 |
@property
|
| 85 |
@serialized
|
components/awm/runtime/awm/worker.py
CHANGED
|
@@ -135,6 +135,9 @@ async def main():
|
|
| 135 |
request=json.loads(base64.b64decode(sys.argv[4])) if len(sys.argv)>4 else {}
|
| 136 |
if operation=='reset':result=controller.reset()
|
| 137 |
elif operation=='call':result=await controller.call(request['name'],request['arguments'])
|
|
|
|
|
|
|
|
|
|
| 138 |
elif operation=='finalize':result=controller.finalize()
|
| 139 |
elif operation=='verify':
|
| 140 |
result=controller.verify()
|
|
|
|
| 135 |
request=json.loads(base64.b64decode(sys.argv[4])) if len(sys.argv)>4 else {}
|
| 136 |
if operation=='reset':result=controller.reset()
|
| 137 |
elif operation=='call':result=await controller.call(request['name'],request['arguments'])
|
| 138 |
+
elif operation=='finish':
|
| 139 |
+
controller.finalize()
|
| 140 |
+
result=controller.verify()
|
| 141 |
elif operation=='finalize':result=controller.finalize()
|
| 142 |
elif operation=='verify':
|
| 143 |
result=controller.verify()
|
components/awm/upstream/manufacturing_execution_system_1-gen_db.jsonl
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
{"scenario": "manufacturing_execution_system_1", "db_schema": {"tables": [{"name": "users", "ddl": "CREATE TABLE users (\n id INTEGER PRIMARY KEY,\n username TEXT UNIQUE NOT NULL,\n email TEXT UNIQUE NOT NULL,\n full_name TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP\n);", "indexes": ["CREATE INDEX idx_users_username ON users(username);", "CREATE INDEX idx_users_email ON users(email);"]}, {"name": "customers", "ddl": "CREATE TABLE customers (\n id INTEGER PRIMARY KEY,\n name TEXT NOT NULL UNIQUE,\n billing_address TEXT NOT NULL,\n contact_person TEXT,\n email TEXT,\n phone TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP\n);", "indexes": ["CREATE INDEX idx_customers_name ON customers(name);"]}, {"name": "product_templates", "ddl": "CREATE TABLE product_templates (\n id INTEGER PRIMARY KEY,\n name TEXT NOT NULL UNIQUE,\n description TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP\n);", "indexes": ["CREATE INDEX idx_product_templates_name ON product_templates(name);"]}, {"name": "product_template_options", "ddl": "CREATE TABLE product_template_options (\n id INTEGER PRIMARY KEY,\n product_template_id INTEGER NOT NULL,\n option_name TEXT NOT NULL,\n option_value TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (product_template_id) REFERENCES product_templates(id) ON DELETE CASCADE,\n UNIQUE (product_template_id, option_name, option_value)\n);", "indexes": ["CREATE INDEX idx_pto_template ON product_template_options(product_template_id);", "CREATE INDEX idx_pto_name_value ON product_template_options(option_name, option_value);"]}, {"name": "standard_task_sequences", "ddl": "CREATE TABLE standard_task_sequences (\n id INTEGER PRIMARY KEY,\n product_template_id INTEGER NOT NULL,\n sequence_order INTEGER NOT NULL,\n task_name TEXT NOT NULL,\n default_planned_duration_hours REAL NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (product_template_id) REFERENCES product_templates(id) ON DELETE CASCADE,\n UNIQUE (product_template_id, sequence_order)\n);", "indexes": ["CREATE INDEX idx_sts_template ON standard_task_sequences(product_template_id);"]}, {"name": "custom_specs", "ddl": "CREATE TABLE custom_specs (\n id INTEGER PRIMARY KEY,\n customer_id INTEGER NOT NULL,\n product_template_id INTEGER NOT NULL,\n notes TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (customer_id) REFERENCES customers(id) ON DELETE RESTRICT,\n FOREIGN KEY (product_template_id) REFERENCES product_templates(id) ON DELETE RESTRICT\n);", "indexes": ["CREATE INDEX idx_custom_specs_customer ON custom_specs(customer_id);", "CREATE INDEX idx_custom_specs_template ON custom_specs(product_template_id);"]}, {"name": "custom_spec_options", "ddl": "CREATE TABLE custom_spec_options (\n id INTEGER PRIMARY KEY,\n custom_spec_id INTEGER NOT NULL,\n option_name TEXT NOT NULL,\n option_value TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (custom_spec_id) REFERENCES custom_specs(id) ON DELETE CASCADE,\n UNIQUE (custom_spec_id, option_name)\n);", "indexes": ["CREATE INDEX idx_cso_custom_spec ON custom_spec_options(custom_spec_id);"]}, {"name": "custom_spec_numeric_params", "ddl": "CREATE TABLE custom_spec_numeric_params (\n id INTEGER PRIMARY KEY,\n custom_spec_id INTEGER NOT NULL,\n param_name TEXT NOT NULL,\n param_value REAL NOT NULL,\n unit TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (custom_spec_id) REFERENCES custom_specs(id) ON DELETE CASCADE,\n UNIQUE (custom_spec_id, param_name)\n);", "indexes": ["CREATE INDEX idx_csnp_custom_spec ON custom_spec_numeric_params(custom_spec_id);"]}, {"name": "quotes", "ddl": "CREATE TABLE quotes (\n id INTEGER PRIMARY KEY,\n quote_number TEXT NOT NULL UNIQUE,\n customer_id INTEGER NOT NULL,\n custom_spec_id INTEGER,\n estimated_hours REAL NOT NULL,\n material_cost REAL NOT NULL,\n labor_rate REAL NOT NULL,\n status TEXT NOT NULL,\n internal_note TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (customer_id) REFERENCES customers(id) ON DELETE RESTRICT,\n FOREIGN KEY (custom_spec_id) REFERENCES custom_specs(id) ON DELETE SET NULL\n);", "indexes": ["CREATE INDEX idx_quotes_customer ON quotes(customer_id);", "CREATE INDEX idx_quotes_status ON quotes(status);"]}, {"name": "jobs", "ddl": "CREATE TABLE jobs (\n id INTEGER PRIMARY KEY,\n job_number TEXT NOT NULL UNIQUE,\n customer_id INTEGER NOT NULL,\n quote_id INTEGER,\n custom_spec_id INTEGER,\n priority TEXT NOT NULL,\n due_date DATE,\n status TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (customer_id) REFERENCES customers(id) ON DELETE RESTRICT,\n FOREIGN KEY (quote_id) REFERENCES quotes(id) ON DELETE SET NULL,\n FOREIGN KEY (custom_spec_id) REFERENCES custom_specs(id) ON DELETE SET NULL\n);", "indexes": ["CREATE INDEX idx_jobs_job_number ON jobs(job_number);", "CREATE INDEX idx_jobs_customer ON jobs(customer_id);", "CREATE INDEX idx_jobs_status ON jobs(status);", "CREATE INDEX idx_jobs_due_date ON jobs(due_date);"]}, {"name": "work_centers", "ddl": "CREATE TABLE work_centers (\n id INTEGER PRIMARY KEY,\n name TEXT NOT NULL UNIQUE,\n description TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP\n);", "indexes": ["CREATE INDEX idx_work_centers_name ON work_centers(name);"]}, {"name": "job_tasks", "ddl": "CREATE TABLE job_tasks (\n id INTEGER PRIMARY KEY,\n task_code TEXT NOT NULL UNIQUE,\n job_id INTEGER NOT NULL,\n sequence_order INTEGER NOT NULL,\n task_name TEXT NOT NULL,\n work_center_id INTEGER NOT NULL,\n requiring_skill_level TEXT,\n planned_start DATETIME,\n planned_finish DATETIME,\n planned_duration_hours REAL,\n actual_start DATETIME,\n actual_finish DATETIME,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (job_id) REFERENCES jobs(id) ON DELETE CASCADE,\n FOREIGN KEY (work_center_id) REFERENCES work_centers(id) ON DELETE RESTRICT,\n UNIQUE (job_id, sequence_order)\n);", "indexes": ["CREATE INDEX idx_job_tasks_job ON job_tasks(job_id);", "CREATE INDEX idx_job_tasks_work_center ON job_tasks(work_center_id);", "CREATE INDEX idx_job_tasks_planned_range ON job_tasks(planned_start, planned_finish);"]}, {"name": "time_logs", "ddl": "CREATE TABLE time_logs (\n id INTEGER PRIMARY KEY,\n job_task_id INTEGER NOT NULL,\n operator_username TEXT NOT NULL,\n work_center_id INTEGER NOT NULL,\n log_start DATETIME DEFAULT CURRENT_TIMESTAMP,\n actual_duration_hours REAL NOT NULL,\n scrap_quantity INTEGER DEFAULT 0,\n note TEXT,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (job_task_id) REFERENCES job_tasks(id) ON DELETE CASCADE,\n FOREIGN KEY (work_center_id) REFERENCES work_centers(id) ON DELETE RESTRICT\n);", "indexes": ["CREATE INDEX idx_time_logs_job_task ON time_logs(job_task_id);", "CREATE INDEX idx_time_logs_work_center ON time_logs(work_center_id);", "CREATE INDEX idx_time_logs_log_start ON time_logs(log_start);"]}, {"name": "materials", "ddl": "CREATE TABLE materials (\n id INTEGER PRIMARY KEY,\n name TEXT NOT NULL UNIQUE,\n unit_of_measure TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP\n);", "indexes": ["CREATE INDEX idx_materials_name ON materials(name);"]}, {"name": "inventory_lots", "ddl": "CREATE TABLE inventory_lots (\n id INTEGER PRIMARY KEY,\n lot_number TEXT NOT NULL UNIQUE,\n material_id INTEGER NOT NULL,\n on_hand_quantity REAL NOT NULL,\n reserved_quantity REAL NOT NULL DEFAULT 0,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (material_id) REFERENCES materials(id) ON DELETE RESTRICT\n);", "indexes": ["CREATE INDEX idx_inventory_lots_material ON inventory_lots(material_id);", "CREATE INDEX idx_inventory_lots_lot_number ON inventory_lots(lot_number);"]}, {"name": "material_reservations", "ddl": "CREATE TABLE material_reservations (\n id INTEGER PRIMARY KEY,\n job_id INTEGER NOT NULL,\n inventory_lot_id INTEGER NOT NULL,\n quantity REAL NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (job_id) REFERENCES jobs(id) ON DELETE CASCADE,\n FOREIGN KEY (inventory_lot_id) REFERENCES inventory_lots(id) ON DELETE RESTRICT\n);", "indexes": ["CREATE INDEX idx_material_reservations_job ON material_reservations(job_id);", "CREATE INDEX idx_material_reservations_lot ON material_reservations(inventory_lot_id);"]}, {"name": "shipments", "ddl": "CREATE TABLE shipments (\n id INTEGER PRIMARY KEY,\n shipment_number TEXT NOT NULL UNIQUE,\n job_id INTEGER NOT NULL,\n customer_id INTEGER NOT NULL,\n delivery_status TEXT NOT NULL,\n shipped_at DATETIME,\n delivered_at DATETIME,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (job_id) REFERENCES jobs(id) ON DELETE RESTRICT,\n FOREIGN KEY (customer_id) REFERENCES customers(id) ON DELETE RESTRICT\n);", "indexes": ["CREATE INDEX idx_shipments_job ON shipments(job_id);", "CREATE INDEX idx_shipments_customer ON shipments(customer_id);", "CREATE INDEX idx_shipments_status ON shipments(delivery_status);"]}, {"name": "shipment_packages", "ddl": "CREATE TABLE shipment_packages (\n id INTEGER PRIMARY KEY,\n shipment_id INTEGER NOT NULL,\n package_number INTEGER NOT NULL,\n weight_kg REAL NOT NULL,\n tracking_number TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (shipment_id) REFERENCES shipments(id) ON DELETE CASCADE,\n UNIQUE (shipment_id, package_number),\n UNIQUE (tracking_number)\n);", "indexes": ["CREATE INDEX idx_shipment_packages_shipment ON shipment_packages(shipment_id);", "CREATE INDEX idx_shipment_packages_tracking ON shipment_packages(tracking_number);"]}]}, "db_path": "./outputs/databases/manufacturing_execution_system_1.db"}
|
|
|
|
|
|
components/awm/upstream/manufacturing_execution_system_1-gen_envs.jsonl
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|
components/awm/upstream/manufacturing_execution_system_1-gen_sample.jsonl
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
{"scenario": "manufacturing_execution_system_1", "tables_count": 18, "inserts_count": 114, "sample_data": {"tables": [{"table_name": "users", "reasoning": "Users represent system operators or authenticated agents. Creating a primary user with id=1 and additional users allows time_logs and ownership associations for realistic operations. Although user_id is not referenced directly in other tables, having multiple realistic users supports broader testing and aligns with the requirement that user id=1 exists as the main actor.", "insert_statements": ["INSERT INTO users (id, username, email, full_name, created_at, updated_at) VALUES (1, 'planner_anna', 'anna.planner@example.com', 'Anna Planner', '2025-10-01 09:00:00', '2025-12-01 10:00:00');", "INSERT INTO users (id, username, email, full_name, created_at, updated_at) VALUES (2, 'op_jwilliams', 'jwilliams@example.com', 'James Williams', '2025-10-05 08:30:00', '2025-12-15 14:20:00');", "INSERT INTO users (id, username, email, full_name, created_at, updated_at) VALUES (3, 'op_mgarcia', 'mgarcia@example.com', 'Maria Garcia', '2025-11-01 07:45:00', '2025-12-20 16:10:00');", "INSERT INTO users (id, username, email, full_name, created_at, updated_at) VALUES (4, 'scheduler_bot', 'scheduler.bot@example.com', 'Scheduler Bot', '2025-12-01 12:00:00', '2025-12-25 12:00:00');"]}, {"table_name": "customers", "reasoning": "Customers are required for creating quotes, jobs, custom specs, and shipments. We create Acme Robotics LLC for the tasks plus additional customers to support searching, listing, and shipping variations. Data adheres to schema constraints including unique names and non-null billing_address.", "insert_statements": ["INSERT INTO customers (id, name, billing_address, contact_person, email, phone, created_at, updated_at) VALUES (1, 'Acme Robotics LLC', '1200 Industrial Way, Dayton, OH 45402', 'Maria Santos', 'm.santos@acmerobotics.com', '+1-937-555-0142', '2025-12-20 10:00:00', '2025-12-20 10:00:00');", "INSERT INTO customers (id, name, billing_address, contact_person, email, phone, created_at, updated_at) VALUES (2, 'Precision Automation Inc', '4550 Tech Park Dr, Columbus, OH 43215', 'Liam Chen', 'liam.chen@precisionauto.com', '+1-614-555-0101', '2025-11-15 09:30:00', '2025-12-10 11:45:00');", "INSERT INTO customers (id, name, billing_address, contact_person, email, phone, created_at, updated_at) VALUES (3, 'Greenfield Fabrication Co', '890 Foundry Rd, Cincinnati, OH 45202', 'Emily Davis', 'edavis@greenfieldfab.com', '+1-513-555-0199', '2025-10-05 14:15:00', '2025-12-05 16:00:00');", "INSERT INTO customers (id, name, billing_address, contact_person, email, phone, created_at, updated_at) VALUES (4, 'Summit Industrial Solutions', '2300 Summit Blvd, Akron, OH 44308', 'Robert King', 'rking@summitindustrial.com', '+1-330-555-0222', '2025-09-01 11:20:00', '2025-11-01 12:00:00');", "INSERT INTO customers (id, name, billing_address, contact_person, email, phone, created_at, updated_at) VALUES (5, 'Metro Machine Works', '101 Machine Way, Toledo, OH 43604', 'Olivia Perez', 'operez@metromachineworks.com', '+1-419-555-0333', '2025-07-18 13:40:00', '2025-12-01 09:05:00');"]}, {"table_name": "product_templates", "reasoning": "Product templates define configurable products used by custom_specs and standard_task_sequences. We add Steel Workbench Pro per the task and other templates for diversity. Names are unique as required, enabling agents to select templates and derive default task sequences.", "insert_statements": ["INSERT INTO product_templates (id, name, description, created_at, updated_at) VALUES (1, 'Steel Workbench Pro', 'Heavy-duty steel workbench with configurable size, color, and finish.', '2025-12-21 09:00:00', '2025-12-21 09:00:00');", "INSERT INTO product_templates (id, name, description, created_at, updated_at) VALUES (2, 'Aluminum Equipment Rack', 'Modular aluminum equipment rack for industrial control systems.', '2025-10-10 10:00:00', '2025-12-01 10:00:00');", "INSERT INTO product_templates (id, name, description, created_at, updated_at) VALUES (3, 'Stainless Storage Cabinet', 'Corrosion-resistant storage cabinet with adjustable shelves.', '2025-09-15 11:30:00', '2025-11-01 08:20:00');", "INSERT INTO product_templates (id, name, description, created_at, updated_at) VALUES (4, 'Robot Safety Guard Rail', 'Guard rail system for robotic work cells.', '2025-08-05 13:10:00', '2025-10-01 09:45:00');", "INSERT INTO product_templates (id, name, description, created_at, updated_at) VALUES (5, 'Custom Machine Base', 'Fabricated steel base for automated machinery.', '2025-07-22 15:00:00', '2025-09-20 15:30:00');"]}, {"table_name": "product_template_options", "reasoning": "Template options define available discrete configuration choices for each product template, like color or size. We create full option sets for Steel Workbench Pro and varied options for other templates. Unique constraints per template and option_name/option_value are respected.", "insert_statements": ["INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (1, 1, 'color', 'gray', '2025-12-21 09:05:00', '2025-12-21 09:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (2, 1, 'color', 'blue', '2025-12-21 09:05:00', '2025-12-21 09:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (3, 1, 'size', '4ft', '2025-12-21 09:05:00', '2025-12-21 09:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (4, 1, 'size', '6ft', '2025-12-21 09:05:00', '2025-12-21 09:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (5, 1, 'finish_type', 'powder_coat', '2025-12-21 09:05:00', '2025-12-21 09:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (6, 1, 'finish_type', 'galvanized', '2025-12-21 09:05:00', '2025-12-21 09:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (7, 2, 'height', '42U', '2025-10-10 10:05:00', '2025-10-10 10:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (8, 2, 'height', '24U', '2025-10-10 10:05:00', '2025-10-10 10:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (9, 2, 'finish', 'anodized', '2025-10-10 10:05:00', '2025-10-10 10:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (10, 3, 'door_type', 'swing', '2025-09-15 11:35:00', '2025-09-15 11:35:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (11, 3, 'door_type', 'sliding', '2025-09-15 11:35:00', '2025-09-15 11:35:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (12, 4, 'coating', 'safety_yellow', '2025-08-05 13:15:00', '2025-08-05 13:15:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (13, 4, 'coating', 'galvanized', '2025-08-05 13:15:00', '2025-08-05 13:15:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (14, 5, 'mounting_style', 'floor', '2025-07-22 15:05:00', '2025-07-22 15:05:00');", "INSERT INTO product_template_options (id, product_template_id, option_name, option_value, created_at, updated_at) VALUES (15, 5, 'mounting_style', 'frame', '2025-07-22 15:05:00', '2025-07-22 15:05:00');"]}, {"table_name": "standard_task_sequences", "reasoning": "Standard task sequences provide default operations and durations for each product template. We define the requested cutting\u2192welding\u2192grinding\u2192painting sequence for Steel Workbench Pro and additional sequences for other templates. This supports auto-creation of job_tasks from templates.", "insert_statements": ["INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (1, 1, 1, 'cutting', 1.5, '2025-12-21 09:10:00', '2025-12-21 09:10:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (2, 1, 2, 'welding', 2.0, '2025-12-21 09:10:00', '2025-12-21 09:10:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (3, 1, 3, 'grinding', 0.75, '2025-12-21 09:10:00', '2025-12-21 09:10:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (4, 1, 4, 'painting', 1.0, '2025-12-21 09:10:00', '2025-12-21 09:10:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (5, 2, 1, 'cutting', 1.0, '2025-10-10 10:10:00', '2025-10-10 10:10:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (6, 2, 2, 'drilling', 1.2, '2025-10-10 10:10:00', '2025-10-10 10:10:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (7, 2, 3, 'assembly', 1.5, '2025-10-10 10:10:00', '2025-10-10 10:10:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (8, 3, 1, 'cutting', 0.8, '2025-09-15 11:40:00', '2025-09-15 11:40:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (9, 3, 2, 'forming', 1.3, '2025-09-15 11:40:00', '2025-09-15 11:40:00');", "INSERT INTO standard_task_sequences (id, product_template_id, sequence_order, task_name, default_planned_duration_hours, created_at, updated_at) VALUES (10, 3, 3, 'welding', 1.7, '2025-09-15 11:40:00', '2025-09-15 11:40:00');"]}, {"table_name": "custom_specs", "reasoning": "Custom specs bind a customer to a product template with specific configuration. We create the requested spec for Acme Robotics LLC and others for variety. Foreign keys to customers and product_templates ensure integrity, enabling quoting and job creation based on these specs.", "insert_statements": ["INSERT INTO custom_specs (id, customer_id, product_template_id, notes, created_at, updated_at) VALUES (1, 1, 1, 'Blue 6ft workbench with powder coat finish for robotics cell.', '2025-12-22 08:00:00', '2025-12-22 08:00:00');", "INSERT INTO custom_specs (id, customer_id, product_template_id, notes, created_at, updated_at) VALUES (2, 2, 2, '42U anodized rack with reinforced base.', '2025-11-20 09:15:00', '2025-11-20 09:15:00');", "INSERT INTO custom_specs (id, customer_id, product_template_id, notes, created_at, updated_at) VALUES (3, 3, 3, 'Stainless cabinet for chemical storage, sliding doors.', '2025-10-10 10:20:00', '2025-10-10 10:20:00');", "INSERT INTO custom_specs (id, customer_id, product_template_id, notes, created_at, updated_at) VALUES (4, 1, 4, 'Guard rail around dual-robot cell.', '2025-11-05 13:00:00', '2025-11-05 13:00:00');", "INSERT INTO custom_specs (id, customer_id, product_template_id, notes, created_at, updated_at) VALUES (5, 4, 5, 'Machine base with integrated leveling feet.', '2025-09-25 14:30:00', '2025-09-25 14:30:00');"]}, {"table_name": "custom_spec_options", "reasoning": "Custom spec options store chosen values for configurable attributes per custom spec. We add explicit color, size, and finish_type for Acme\u2019s Steel Workbench Pro and other specs. Unique constraints per custom_spec_id and option_name are respected to avoid duplicates.", "insert_statements": ["INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (1, 1, 'color', 'blue', '2025-12-22 08:05:00', '2025-12-22 08:05:00');", "INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (2, 1, 'size', '6ft', '2025-12-22 08:05:00', '2025-12-22 08:05:00');", "INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (3, 1, 'finish_type', 'powder_coat', '2025-12-22 08:05:00', '2025-12-22 08:05:00');", "INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (4, 2, 'height', '42U', '2025-11-20 09:20:00', '2025-11-20 09:20:00');", "INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (5, 2, 'finish', 'anodized', '2025-11-20 09:20:00', '2025-11-20 09:20:00');", "INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (6, 3, 'door_type', 'sliding', '2025-10-10 10:25:00', '2025-10-10 10:25:00');", "INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (7, 4, 'coating', 'safety_yellow', '2025-11-05 13:05:00', '2025-11-05 13:05:00');", "INSERT INTO custom_spec_options (id, custom_spec_id, option_name, option_value, created_at, updated_at) VALUES (8, 5, 'mounting_style', 'floor', '2025-09-25 14:35:00', '2025-09-25 14:35:00');"]}, {"table_name": "custom_spec_numeric_params", "reasoning": "Numeric parameters store dimensional and tolerance data for each spec. We define length, width, height, and flatness_tolerance for Acme\u2019s workbench and additional metrics for other specs. Units are provided where appropriate, supporting engineering calculations and quoting.", "insert_statements": ["INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (1, 1, 'length', 1830.0, 'mm', '2025-12-22 08:10:00', '2025-12-22 08:10:00');", "INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (2, 1, 'width', 760.0, 'mm', '2025-12-22 08:10:00', '2025-12-22 08:10:00');", "INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (3, 1, 'height', 900.0, 'mm', '2025-12-22 08:10:00', '2025-12-22 08:10:00');", "INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (4, 1, 'flatness_tolerance', 0.5, 'mm', '2025-12-22 08:10:00', '2025-12-22 08:10:00');", "INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (5, 2, 'depth', 800.0, 'mm', '2025-11-20 09:25:00', '2025-11-20 09:25:00');", "INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (6, 3, 'height', 2000.0, 'mm', '2025-10-10 10:30:00', '2025-10-10 10:30:00');", "INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (7, 4, 'rail_length', 6000.0, 'mm', '2025-11-05 13:10:00', '2025-11-05 13:10:00');", "INSERT INTO custom_spec_numeric_params (id, custom_spec_id, param_name, param_value, unit, created_at, updated_at) VALUES (8, 5, 'base_length', 2500.0, 'mm', '2025-09-25 14:40:00', '2025-09-25 14:40:00');"]}, {"table_name": "quotes", "reasoning": "Quotes link customers to estimated cost and time for custom specs, feeding job creation. We include the requested new quote for Acme\u2019s workbench, plus quote Q-2025-0147 in accepted status and several others with varied statuses, supporting conversion and listing workflows.", "insert_statements": ["INSERT INTO quotes (id, quote_number, customer_id, custom_spec_id, estimated_hours, material_cost, labor_rate, status, internal_note, created_at, updated_at) VALUES (1, 'Q-2025-0100', 2, 2, 18.0, 650.00, 70.00, 'draft', 'Initial rack concept.', '2025-11-21 10:00:00', '2025-11-22 11:00:00');", "INSERT INTO quotes (id, quote_number, customer_id, custom_spec_id, estimated_hours, material_cost, labor_rate, status, internal_note, created_at, updated_at) VALUES (2, 'Q-2025-0125', 3, 3, 22.5, 980.00, 62.00, 'sent', 'Stainless cabinet for chemical storage.', '2025-10-12 09:30:00', '2025-10-13 09:30:00');", "INSERT INTO quotes (id, quote_number, customer_id, custom_spec_id, estimated_hours, material_cost, labor_rate, status, internal_note, created_at, updated_at) VALUES (3, 'Q-2025-0140', 1, 4, 30.0, 1500.00, 65.00, 'rejected', 'Guard rail around dual-robot cell, price too high per customer.', '2025-11-06 10:15:00', '2025-11-20 10:15:00');", "INSERT INTO quotes (id, quote_number, customer_id, custom_spec_id, estimated_hours, material_cost, labor_rate, status, internal_note, created_at, updated_at) VALUES (4, 'Q-2025-0147', 1, 1, 16.0, 520.00, 65.00, 'accepted', 'Steel Workbench Pro for robotics line.', '2025-12-10 08:45:00', '2025-12-18 09:00:00');", "INSERT INTO quotes (id, quote_number, customer_id, custom_spec_id, estimated_hours, material_cost, labor_rate, status, internal_note, created_at, updated_at) VALUES (5, 'Q-2025-0155', 4, 5, 40.0, 2100.00, 68.00, 'accepted', 'Custom machine base with vibration damping.', '2025-09-27 13:00:00', '2025-10-02 13:00:00');", "INSERT INTO quotes (id, quote_number, customer_id, custom_spec_id, estimated_hours, material_cost, labor_rate, status, internal_note, created_at, updated_at) VALUES (6, 'Q-2025-0160', 1, 1, 12.0, 420.00, 65.00, 'sent', 'Rush order requested, target ship in 10 business days.', '2025-12-22 09:00:00', '2025-12-22 09:00:00');"]}, {"table_name": "jobs", "reasoning": "Jobs represent approved work tied to customers, quotes, and specs. We add job from accepted quote Q-2025-0147 with high priority and planned status, plus jobs J-2025-0332 and J-2025-0279 for tasks, inventory, and shipment operations, and additional jobs for capacity analysis.", "insert_statements": ["INSERT INTO jobs (id, job_number, customer_id, quote_id, custom_spec_id, priority, due_date, status, created_at, updated_at) VALUES (1, 'J-2025-0279', 1, 3, 4, 'medium', '2025-12-15', 'completed', '2025-11-25 08:00:00', '2025-12-16 17:00:00');", "INSERT INTO jobs (id, job_number, customer_id, quote_id, custom_spec_id, priority, due_date, status, created_at, updated_at) VALUES (2, 'J-2025-0332', 2, 1, 2, 'high', '2026-01-22', 'in_progress', '2025-12-28 09:00:00', '2025-12-30 10:00:00');", "INSERT INTO jobs (id, job_number, customer_id, quote_id, custom_spec_id, priority, due_date, status, created_at, updated_at) VALUES (3, 'J-2025-0340', 3, 2, 3, 'low', '2026-01-10', 'planned', '2025-12-20 10:30:00', '2025-12-20 10:30:00');", "INSERT INTO jobs (id, job_number, customer_id, quote_id, custom_spec_id, priority, due_date, status, created_at, updated_at) VALUES (4, 'J-2025-0350', 4, 5, 5, 'high', '2026-01-18', 'planned', '2025-12-21 11:00:00', '2025-12-21 11:00:00');", "INSERT INTO jobs (id, job_number, customer_id, quote_id, custom_spec_id, priority, due_date, status, created_at, updated_at) VALUES (5, 'J-2026-0005', 1, 4, 1, 'high', '2026-01-20', 'planned', '2025-12-22 10:00:00', '2025-12-22 10:00:00');", "INSERT INTO jobs (id, job_number, customer_id, quote_id, custom_spec_id, priority, due_date, status, created_at, updated_at) VALUES (6, 'J-2026-0006', 1, 6, 1, 'high', '2026-01-25', 'planned', '2025-12-23 09:15:00', '2025-12-23 09:15:00');"]}, {"table_name": "work_centers", "reasoning": "Work centers identify physical or logical production resources used in job_tasks and time_logs. We add Laser Cutter LC-01, Weld Cell WC-02, Paint Booth PB-01, and other centers for diverse scheduling and capacity utilization analysis, conforming to unique name constraint.", "insert_statements": ["INSERT INTO work_centers (id, name, description, created_at, updated_at) VALUES (1, 'Laser Cutter LC-01', 'Trumpf fiber laser cutting cell.', '2025-07-01 08:00:00', '2025-12-01 08:00:00');", "INSERT INTO work_centers (id, name, description, created_at, updated_at) VALUES (2, 'Weld Cell WC-02', 'Robotic MIG welding cell.', '2025-07-01 08:05:00', '2025-12-01 08:05:00');", "INSERT INTO work_centers (id, name, description, created_at, updated_at) VALUES (3, 'Paint Booth PB-01', 'Powder coating booth.', '2025-07-01 08:10:00', '2025-12-01 08:10:00');", "INSERT INTO work_centers (id, name, description, created_at, updated_at) VALUES (4, 'Grinding Station GS-01', 'Manual grinding station.', '2025-07-01 08:15:00', '2025-12-01 08:15:00');", "INSERT INTO work_centers (id, name, description, created_at, updated_at) VALUES (5, 'Assembly Cell AC-01', 'Bench assembly area.', '2025-07-01 08:20:00', '2025-12-01 08:20:00');"]}, {"table_name": "job_tasks", "reasoning": "Job tasks break jobs into sequenced operations at specific work centers, required for planning, execution, and time logging. We define tasks for job J-2025-0332 per instructions, create task JT-8793 for welding, and add multiple LC-01 tasks in January 2026 for utilization queries.", "insert_statements": ["INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (1, 'JT-8001', 2, 1, 'cutting', 1, 'intermediate', '2026-01-05 08:00:00', '2026-01-05 10:00:00', 2.0, NULL, NULL, '2025-12-28 09:10:00', '2025-12-28 09:10:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (2, 'JT-8002', 2, 2, 'welding', 2, 'advanced', '2026-01-05 11:00:00', '2026-01-05 14:00:00', 3.0, NULL, NULL, '2025-12-28 09:10:00', '2025-12-28 09:10:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (3, 'JT-8003', 2, 3, 'painting', 3, 'intermediate', '2026-01-06 09:00:00', '2026-01-06 11:00:00', 2.0, NULL, NULL, '2025-12-28 09:10:00', '2025-12-28 09:10:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (4, 'JT-8793', 2, 4, 'welding rework', 2, 'advanced', '2026-01-07 08:00:00', '2026-01-07 10:30:00', 2.5, NULL, NULL, '2025-12-29 08:00:00', '2025-12-29 08:00:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (5, 'JT-8100', 1, 1, 'cutting', 1, 'intermediate', '2025-12-05 08:00:00', '2025-12-05 10:00:00', 2.0, '2025-12-05 08:05:00', '2025-12-05 09:50:00', '2025-11-25 08:10:00', '2025-12-05 10:00:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (6, 'JT-8101', 1, 2, 'welding', 2, 'advanced', '2025-12-06 08:00:00', '2025-12-06 11:00:00', 3.0, '2025-12-06 08:10:00', '2025-12-06 11:05:00', '2025-11-25 08:10:00', '2025-12-06 11:10:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (7, 'JT-8200', 3, 1, 'cutting', 1, 'intermediate', '2026-01-03 07:00:00', '2026-01-03 09:00:00', 2.0, NULL, NULL, '2025-12-20 10:40:00', '2025-12-20 10:40:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (8, 'JT-8201', 4, 1, 'cutting', 1, 'intermediate', '2026-01-15 08:00:00', '2026-01-15 12:00:00', 4.0, NULL, NULL, '2025-12-21 11:10:00', '2025-12-21 11:10:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (9, 'JT-8202', 5, 1, 'cutting', 1, 'intermediate', '2026-01-20 13:00:00', '2026-01-20 16:00:00', 3.0, NULL, NULL, '2025-12-22 10:10:00', '2025-12-22 10:10:00');", "INSERT INTO job_tasks (id, task_code, job_id, sequence_order, task_name, work_center_id, requiring_skill_level, planned_start, planned_finish, planned_duration_hours, actual_start, actual_finish, created_at, updated_at) VALUES (10, 'JT-8203', 6, 1, 'cutting', 1, 'intermediate', '2026-02-01 09:00:00', '2026-02-01 11:00:00', 2.0, NULL, NULL, '2025-12-23 09:20:00', '2025-12-23 09:20:00');"]}, {"table_name": "time_logs", "reasoning": "Time logs capture actual work done on job_tasks at specific work centers, with operators, durations, and scrap. We add the requested log for operator op_jwilliams on JT-8793 and additional logs for various LC-01 tasks to enable capacity utilization and performance analysis.", "insert_statements": ["INSERT INTO time_logs (id, job_task_id, operator_username, work_center_id, log_start, actual_duration_hours, scrap_quantity, note, created_at, updated_at) VALUES (1, 4, 'op_jwilliams', 2, '2026-01-07 08:05:00', 2.4, 1, 'Rewelded one bracket due to misalignment found during in-process check', '2026-01-07 10:45:00', '2026-01-07 10:45:00');", "INSERT INTO time_logs (id, job_task_id, operator_username, work_center_id, log_start, actual_duration_hours, scrap_quantity, note, created_at, updated_at) VALUES (2, 1, 'op_mgarcia', 1, '2026-01-05 08:00:00', 1.8, 0, 'Cut parts per program WB-332.', '2026-01-05 10:00:00', '2026-01-05 10:00:00');", "INSERT INTO time_logs (id, job_task_id, operator_username, work_center_id, log_start, actual_duration_hours, scrap_quantity, note, created_at, updated_at) VALUES (3, 7, 'op_mgarcia', 1, '2026-01-03 07:05:00', 2.1, 0, 'Cut cabinet panels.', '2026-01-03 09:15:00', '2026-01-03 09:15:00');", "INSERT INTO time_logs (id, job_task_id, operator_username, work_center_id, log_start, actual_duration_hours, scrap_quantity, note, created_at, updated_at) VALUES (4, 8, 'op_jwilliams', 1, '2026-01-15 08:10:00', 3.9, 2, 'Extra skeleton parts cut due to nesting error.', '2026-01-15 12:10:00', '2026-01-15 12:10:00');", "INSERT INTO time_logs (id, job_task_id, operator_username, work_center_id, log_start, actual_duration_hours, scrap_quantity, note, created_at, updated_at) VALUES (5, 9, 'op_mgarcia', 1, '2026-01-20 13:05:00', 2.7, 0, 'Rush laser job for Acme workbench.', '2026-01-20 16:00:00', '2026-01-20 16:00:00');", "INSERT INTO time_logs (id, job_task_id, operator_username, work_center_id, log_start, actual_duration_hours, scrap_quantity, note, created_at, updated_at) VALUES (6, 5, 'op_mgarcia', 1, '2025-12-05 08:05:00', 1.6, 0, 'Cut parts for completed job.', '2025-12-05 09:55:00', '2025-12-05 09:55:00');"]}, {"table_name": "materials", "reasoning": "Materials represent inventory items that can be reserved for jobs. We create Cold Rolled Steel Sheet 2mm for the reservation task and several other materials to simulate a realistic inventory environment with different units of measure.", "insert_statements": ["INSERT INTO materials (id, name, unit_of_measure, created_at, updated_at) VALUES (1, 'Cold Rolled Steel Sheet 2mm', 'sheet', '2025-06-01 08:00:00', '2025-12-01 08:00:00');", "INSERT INTO materials (id, name, unit_of_measure, created_at, updated_at) VALUES (2, 'Hot Rolled Steel Plate 10mm', 'kg', '2025-06-01 08:05:00', '2025-12-01 08:05:00');", "INSERT INTO materials (id, name, unit_of_measure, created_at, updated_at) VALUES (3, 'Stainless Steel Sheet 1.5mm', 'sheet', '2025-06-01 08:10:00', '2025-12-01 08:10:00');", "INSERT INTO materials (id, name, unit_of_measure, created_at, updated_at) VALUES (4, 'Powder Coat Paint Blue', 'kg', '2025-06-01 08:15:00', '2025-12-01 08:15:00');", "INSERT INTO materials (id, name, unit_of_measure, created_at, updated_at) VALUES (5, 'Shielding Gas Mix 92/8', 'cylinder', '2025-06-01 08:20:00', '2025-12-01 08:20:00');"]}, {"table_name": "inventory_lots", "reasoning": "Inventory lots track on-hand and reserved quantities per material. We define LOT-CRS-2401 with sufficient quantity for the 150-unit reservation and multiple other lots to test different reservation and availability scenarios. Quantities comply with non-null constraints.", "insert_statements": ["INSERT INTO inventory_lots (id, lot_number, material_id, on_hand_quantity, reserved_quantity, created_at, updated_at) VALUES (1, 'LOT-CRS-2401', 1, 500.0, 0.0, '2025-12-15 09:00:00', '2025-12-15 09:00:00');", "INSERT INTO inventory_lots (id, lot_number, material_id, on_hand_quantity, reserved_quantity, created_at, updated_at) VALUES (2, 'LOT-CRS-2399', 1, 120.0, 20.0, '2025-11-10 09:00:00', '2025-12-10 09:00:00');", "INSERT INTO inventory_lots (id, lot_number, material_id, on_hand_quantity, reserved_quantity, created_at, updated_at) VALUES (3, 'LOT-HRS-2310', 2, 2000.0, 300.0, '2025-10-01 08:00:00', '2025-12-01 08:00:00');", "INSERT INTO inventory_lots (id, lot_number, material_id, on_hand_quantity, reserved_quantity, created_at, updated_at) VALUES (4, 'LOT-SSS-2402', 3, 150.0, 0.0, '2025-12-18 10:00:00', '2025-12-18 10:00:00');", "INSERT INTO inventory_lots (id, lot_number, material_id, on_hand_quantity, reserved_quantity, created_at, updated_at) VALUES (5, 'LOT-PCB-2401', 4, 80.0, 10.0, '2025-12-01 11:00:00', '2025-12-10 11:00:00');"]}, {"table_name": "material_reservations", "reasoning": "Material reservations link jobs to specific inventory lots and quantities. We reserve 150 units from LOT-CRS-2401 for job J-2025-0332 as requested, and create additional reservations to test reporting and constraints. Values observe foreign keys to jobs and inventory_lots.", "insert_statements": ["INSERT INTO material_reservations (id, job_id, inventory_lot_id, quantity, created_at, updated_at) VALUES (1, 2, 1, 150.0, '2025-12-29 09:30:00', '2025-12-29 09:30:00');", "INSERT INTO material_reservations (id, job_id, inventory_lot_id, quantity, created_at, updated_at) VALUES (2, 1, 2, 50.0, '2025-11-26 08:30:00', '2025-11-26 08:30:00');", "INSERT INTO material_reservations (id, job_id, inventory_lot_id, quantity, created_at, updated_at) VALUES (3, 3, 4, 40.0, '2025-12-21 09:00:00', '2025-12-21 09:00:00');", "INSERT INTO material_reservations (id, job_id, inventory_lot_id, quantity, created_at, updated_at) VALUES (4, 5, 1, 80.0, '2025-12-23 10:30:00', '2025-12-23 10:30:00');"]}, {"table_name": "shipments", "reasoning": "Shipments capture outbound deliveries of completed jobs to customers. We create a shipment for completed job J-2025-0279 to Acme Robotics LLC with status in_transit so job_status can be updated to shipped by the agent, plus extra shipments to support listing and filtering.", "insert_statements": ["INSERT INTO shipments (id, shipment_number, job_id, customer_id, delivery_status, shipped_at, delivered_at, created_at, updated_at) VALUES (1, 'SHP-2025-0200', 1, 1, 'in_transit', '2025-12-17 09:00:00', NULL, '2025-12-17 09:00:00', '2025-12-17 09:00:00');", "INSERT INTO shipments (id, shipment_number, job_id, customer_id, delivery_status, shipped_at, delivered_at, created_at, updated_at) VALUES (2, 'SHP-2025-0180', 3, 3, 'delivered', '2025-12-10 14:00:00', '2025-12-12 10:00:00', '2025-12-10 14:00:00', '2025-12-12 10:00:00');", "INSERT INTO shipments (id, shipment_number, job_id, customer_id, delivery_status, shipped_at, delivered_at, created_at, updated_at) VALUES (3, 'SHP-2025-0185', 4, 4, 'ready_to_ship', NULL, NULL, '2025-12-15 15:00:00', '2025-12-15 15:00:00');"]}, {"table_name": "shipment_packages", "reasoning": "Shipment packages store per-package weights and tracking numbers. For the Acme job shipment, we create two packages with specified weights and tracking numbers. Additional packages for other shipments provide variety. Unique constraints on tracking_number and (shipment_id, package_number) are maintained.", "insert_statements": ["INSERT INTO shipment_packages (id, shipment_id, package_number, weight_kg, tracking_number, created_at, updated_at) VALUES (1, 1, 1, 45.0, 'CBX123456US', '2025-12-17 09:05:00', '2025-12-17 09:05:00');", "INSERT INTO shipment_packages (id, shipment_id, package_number, weight_kg, tracking_number, created_at, updated_at) VALUES (2, 1, 2, 38.5, 'CBX123457US', '2025-12-17 09:05:00', '2025-12-17 09:05:00');", "INSERT INTO shipment_packages (id, shipment_id, package_number, weight_kg, tracking_number, created_at, updated_at) VALUES (3, 2, 1, 55.0, 'CBX123458US', '2025-12-10 14:05:00', '2025-12-10 14:05:00');", "INSERT INTO shipment_packages (id, shipment_id, package_number, weight_kg, tracking_number, created_at, updated_at) VALUES (4, 3, 1, 30.0, 'CBX123459US', '2025-12-15 15:05:00', '2025-12-15 15:05:00');"]}]}}
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components/loui/.dockerignore
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+
__pycache__
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+
*.pyc
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components/loui/Dockerfile
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FROM ghcr.io/bochencs/openenv-pdbthink@sha256:93c21c8ccca55b7bb0af838eb42c64e6702dd9d97cd689357f5929ae72460f71
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| 2 |
+
USER root
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| 3 |
+
COPY runtime /opt/loui/runtime
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+
COPY upstream /opt/loui/upstream
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+
COPY tasks /opt/loui/tasks
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| 6 |
+
COPY SOURCE.json config.json /opt/loui/
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| 7 |
+
RUN chmod -R go-rwx /opt/loui && mkdir -p /var/lib/loui-exec && chmod 711 /var/lib/loui-exec
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| 8 |
+
ENV PYTHONPATH=/opt/loui/runtime:/opt/loui/upstream/v3 PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 ENABLE_WEB_INTERFACE=false OPENENV_MODE=simulation GRADIO_ANALYTICS_ENABLED=false HF_HUB_OFFLINE=1
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| 9 |
+
WORKDIR /opt/loui
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| 10 |
+
EXPOSE 8000
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| 11 |
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HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 CMD ["python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=3).read()"]
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| 12 |
+
CMD ["python", "-m", "loui.server"]
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components/loui/README.md
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# Original multi-module repair tasks
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`incident-3` and `expression-3` reuse Python Repair Lab v3 at Hugging Face revision `f82d0dabb0da9b1b913ef95f89f54c7a8f39d0ad`. Original source and MIT license are in `upstream/`.
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+
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+
Use `op=call` with `read`, `write`, `test`, or `submit`; tool arguments are listed on reset. `op=finish` grades the current source. Reset defaults to the original seed 0. The 30-action limit and original mean over six verification groups are preserved.
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+
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The runtime uses the Arena-pinned OpenEnv SDK. Candidate code runs as UID 2000 with no network or child processes. Source, reference implementations, and grading state remain in the root supervisor.
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components/loui/SOURCE.json
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{
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+
"source_dataset": "Louistiti/openenv-python-repair",
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+
"source_revision": "f82d0dabb0da9b1b913ef95f89f54c7a8f39d0ad",
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| 4 |
+
"source_url": "https://huggingface.co/datasets/Louistiti/openenv-python-repair/tree/f82d0dabb0da9b1b913ef95f89f54c7a8f39d0ad/v3",
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| 5 |
+
"source_github_revision": "8762c34c465ab37304f2c967d5a01d55283f2531",
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| 6 |
+
"license": "MIT",
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| 7 |
+
"registered_tasks": [
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| 8 |
+
"incident-3",
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| 9 |
+
"expression-3"
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| 10 |
+
],
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| 11 |
+
"default_seed": 0,
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| 12 |
+
"files": {
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| 13 |
+
"upstream/LICENSE": "a5958627f5ebeaf73b280a5b983d86d79c2144c988d761ea7769158788a90de6",
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| 14 |
+
"upstream/v3/server.py": "67f546daef6e7902c12754cbbd883657e57d2cb21e109275af123c552cc93422",
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| 15 |
+
"upstream/v3/execution.py": "578814be5152b9b00c7eeae387544a94db159c9e8e3456e5cb56b31b6a731e9a",
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| 16 |
+
"upstream/v3/tasks.py": "71caf0175532025bf138398229d466f18e5e03365b48853efd92f61f6dae2d66",
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| 17 |
+
"upstream/v3/README.md": "bf5da0c7b871459278ad174cfd3c4ba90de9fbe74d35decce007bed13535d32d",
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| 18 |
+
"upstream/v3/tasks.jsonl": "9715cdabe6e67287399a3fe2bad435852510bf854982d2f6695b3d87db395c88",
|
| 19 |
+
"upstream/v3/hard_tasks.py": "f140fcf554e97b67afb14e961affc46c14320cb784fe1f7444585e77ceb89ea0"
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| 20 |
+
}
|
| 21 |
+
}
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components/loui/config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"tasks": [
|
| 3 |
+
{
|
| 4 |
+
"task_id": "incident-3",
|
| 5 |
+
"split": "train",
|
| 6 |
+
"seed": 0,
|
| 7 |
+
"family": "incident",
|
| 8 |
+
"instruction_source": "upstream/v3/tasks.jsonl",
|
| 9 |
+
"instruction_sha256": "682c7db0f0911e85174652574349fbe957c1cc235a68d224c569e405d9674452",
|
| 10 |
+
"source_dataset": "Louistiti/openenv-python-repair",
|
| 11 |
+
"source_revision": "f82d0dabb0da9b1b913ef95f89f54c7a8f39d0ad",
|
| 12 |
+
"source_url": "https://huggingface.co/datasets/Louistiti/openenv-python-repair/tree/f82d0dabb0da9b1b913ef95f89f54c7a8f39d0ad/v3",
|
| 13 |
+
"license": "MIT",
|
| 14 |
+
"grading": "Unchanged original mean of per-behavior-group pass fractions",
|
| 15 |
+
"default_empty_finish": "Original starter partial reward; not forced to zero",
|
| 16 |
+
"instruction_jsonl_row": 12,
|
| 17 |
+
"instruction_field": "prompt",
|
| 18 |
+
"original_instruction": "tasks/incident-3/instruction.md"
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"task_id": "expression-3",
|
| 22 |
+
"split": "train",
|
| 23 |
+
"seed": 0,
|
| 24 |
+
"family": "expression",
|
| 25 |
+
"instruction_source": "upstream/v3/tasks.jsonl",
|
| 26 |
+
"instruction_sha256": "09ef2d8fc856ca3dc5662c279df705e9accc827f4472dc34758ffe769d116128",
|
| 27 |
+
"source_dataset": "Louistiti/openenv-python-repair",
|
| 28 |
+
"source_revision": "f82d0dabb0da9b1b913ef95f89f54c7a8f39d0ad",
|
| 29 |
+
"source_url": "https://huggingface.co/datasets/Louistiti/openenv-python-repair/tree/f82d0dabb0da9b1b913ef95f89f54c7a8f39d0ad/v3",
|
| 30 |
+
"license": "MIT",
|
| 31 |
+
"grading": "Unchanged original mean of per-behavior-group pass fractions",
|
| 32 |
+
"default_empty_finish": "Original starter partial reward; not forced to zero",
|
| 33 |
+
"instruction_jsonl_row": 24,
|
| 34 |
+
"instruction_field": "prompt",
|
| 35 |
+
"original_instruction": "tasks/expression-3/instruction.md"
|
| 36 |
+
}
|
| 37 |
+
],
|
| 38 |
+
"max_actions": 30,
|
| 39 |
+
"execution_cpu_seconds": 2,
|
| 40 |
+
"execution_wall_seconds": 3,
|
| 41 |
+
"execution_memory_mib": 256,
|
| 42 |
+
"upstream_files": [
|
| 43 |
+
"upstream/LICENSE",
|
| 44 |
+
"upstream/v3/README.md",
|
| 45 |
+
"upstream/v3/execution.py",
|
| 46 |
+
"upstream/v3/hard_tasks.py",
|
| 47 |
+
"upstream/v3/server.py",
|
| 48 |
+
"upstream/v3/tasks.jsonl",
|
| 49 |
+
"upstream/v3/tasks.py"
|
| 50 |
+
],
|
| 51 |
+
"adapter_files": [
|
| 52 |
+
"runtime/common/__init__.py",
|
| 53 |
+
"runtime/common/contracts.py",
|
| 54 |
+
"runtime/common/models.py",
|
| 55 |
+
"runtime/loui/__init__.py",
|
| 56 |
+
"runtime/loui/child.py",
|
| 57 |
+
"runtime/loui/environment.py",
|
| 58 |
+
"runtime/loui/executor.py",
|
| 59 |
+
"runtime/loui/server.py"
|
| 60 |
+
]
|
| 61 |
+
}
|
components/{mimo-code/source_bundle/runtime/code_runtime → loui/runtime/common}/__init__.py
RENAMED
|
File without changes
|
components/{mimo-code/source_bundle → loui}/runtime/common/contracts.py
RENAMED
|
File without changes
|
components/{mimo-code/source_bundle → loui}/runtime/common/models.py
RENAMED
|
File without changes
|
components/{mimo-code/source_bundle/pristine-other/vendor/plaso/dfwinreg → loui/runtime/loui}/__init__.py
RENAMED
|
File without changes
|
components/loui/runtime/loui/child.py
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import base64
|
| 2 |
+
import ctypes
|
| 3 |
+
import errno
|
| 4 |
+
import os
|
| 5 |
+
import resource
|
| 6 |
+
import sys
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def restrict():
|
| 10 |
+
if sys.platform != 'linux' or os.geteuid() != 0:
|
| 11 |
+
raise RuntimeError('Linux root supervisor required')
|
| 12 |
+
libc = ctypes.CDLL(None, use_errno=True)
|
| 13 |
+
for option, value in [(38, 1), (47, 4), (8, 0)]:
|
| 14 |
+
if libc.prctl(option, value, 0, 0, 0):
|
| 15 |
+
raise OSError(ctypes.get_errno(), 'Process isolation failed')
|
| 16 |
+
os.setgroups([])
|
| 17 |
+
os.setresgid(2000, 2000, 2000)
|
| 18 |
+
os.setresuid(2000, 2000, 2000)
|
| 19 |
+
if libc.prctl(4, 0, 0, 0, 0):
|
| 20 |
+
raise OSError(ctypes.get_errno(), 'Process privacy failed')
|
| 21 |
+
resource.setrlimit(resource.RLIMIT_NPROC, (16, 16))
|
| 22 |
+
lib = ctypes.CDLL('libseccomp.so.2', use_errno=True)
|
| 23 |
+
lib.seccomp_init.argtypes = [ctypes.c_uint32]
|
| 24 |
+
lib.seccomp_init.restype = ctypes.c_void_p
|
| 25 |
+
lib.seccomp_syscall_resolve_name.argtypes = [ctypes.c_char_p]
|
| 26 |
+
lib.seccomp_syscall_resolve_name.restype = ctypes.c_int
|
| 27 |
+
lib.seccomp_rule_add.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_int, ctypes.c_uint]
|
| 28 |
+
lib.seccomp_rule_add.restype = ctypes.c_int
|
| 29 |
+
lib.seccomp_load.argtypes = [ctypes.c_void_p]
|
| 30 |
+
lib.seccomp_load.restype = ctypes.c_int
|
| 31 |
+
lib.seccomp_release.argtypes = [ctypes.c_void_p]
|
| 32 |
+
context = lib.seccomp_init(0x7FFF0000)
|
| 33 |
+
if not context:
|
| 34 |
+
raise RuntimeError('seccomp initialization failed')
|
| 35 |
+
blocked = ('socket', 'socketpair', 'connect', 'bind', 'listen', 'accept', 'accept4',
|
| 36 |
+
'sendto', 'sendmsg', 'sendmmsg', 'recvfrom', 'recvmsg', 'recvmmsg',
|
| 37 |
+
'io_uring_setup', 'io_uring_register', 'io_uring_enter',
|
| 38 |
+
'fork', 'vfork', 'clone', 'clone3', 'ptrace', 'process_vm_readv',
|
| 39 |
+
'process_vm_writev', 'kill', 'tkill', 'tgkill', 'pidfd_send_signal',
|
| 40 |
+
'mount', 'umount2', 'unshare', 'setns')
|
| 41 |
+
try:
|
| 42 |
+
for name in blocked:
|
| 43 |
+
number = lib.seccomp_syscall_resolve_name(name.encode())
|
| 44 |
+
if number < 0:
|
| 45 |
+
raise RuntimeError('Unsupported syscall: ' + name)
|
| 46 |
+
rc = lib.seccomp_rule_add(context, 0x00050000 | errno.EPERM, number, 0)
|
| 47 |
+
if rc:
|
| 48 |
+
raise OSError(-rc, 'seccomp rule failed')
|
| 49 |
+
rc = lib.seccomp_load(context)
|
| 50 |
+
if rc:
|
| 51 |
+
raise OSError(-rc, 'seccomp activation failed')
|
| 52 |
+
finally:
|
| 53 |
+
lib.seccomp_release(context)
|
| 54 |
+
state = dict(line.split(':', 1) for line in open('/proc/self/status') if ':' in line)
|
| 55 |
+
if os.getresuid() != (2000, 2000, 2000) or int(state['CapEff'].strip(), 16):
|
| 56 |
+
raise RuntimeError('Learner identity verification failed')
|
| 57 |
+
if state['NoNewPrivs'].strip() != '1' or state['Seccomp'].strip() != '2':
|
| 58 |
+
raise RuntimeError('Learner isolation verification failed')
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
def main():
|
| 62 |
+
fd = int(sys.argv[1])
|
| 63 |
+
try:
|
| 64 |
+
runner = compile(base64.b64decode(sys.argv[2]), '<original-runner>', 'exec')
|
| 65 |
+
restrict()
|
| 66 |
+
except BaseException as error:
|
| 67 |
+
os.write(fd, ('error:' + str(error)).encode()[:2048])
|
| 68 |
+
raise
|
| 69 |
+
else:
|
| 70 |
+
os.write(fd, b'ready')
|
| 71 |
+
finally:
|
| 72 |
+
os.close(fd)
|
| 73 |
+
exec(runner, {'__name__': '__main__'})
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
if __name__ == '__main__':
|
| 77 |
+
main()
|
components/loui/runtime/loui/environment.py
ADDED
|
@@ -0,0 +1,159 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import hashlib
|
| 2 |
+
import importlib
|
| 3 |
+
import json
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from threading import RLock
|
| 6 |
+
from uuid import uuid4
|
| 7 |
+
|
| 8 |
+
from openenv.core.env_server.interfaces import Environment
|
| 9 |
+
from openenv.core.env_server.types import State, EnvironmentMetadata
|
| 10 |
+
from common.models import ArenaAction, ArenaObservation
|
| 11 |
+
from .executor import configure, InfrastructureError
|
| 12 |
+
|
| 13 |
+
ROOT = Path('/opt/loui')
|
| 14 |
+
SOURCE = json.loads((ROOT / 'SOURCE.json').read_text())
|
| 15 |
+
for relative, digest in SOURCE['files'].items():
|
| 16 |
+
if hashlib.sha256((ROOT / relative).read_bytes()).hexdigest() != digest:
|
| 17 |
+
raise InfrastructureError('Original source hash mismatch')
|
| 18 |
+
original_tasks = importlib.import_module('tasks')
|
| 19 |
+
original_execution = importlib.import_module('execution')
|
| 20 |
+
for module in [original_tasks, original_execution]:
|
| 21 |
+
if Path(module.__file__).parent != ROOT / 'upstream/v3':
|
| 22 |
+
raise InfrastructureError('Unexpected original module location')
|
| 23 |
+
configure(original_execution)
|
| 24 |
+
TASK_IDS = tuple(SOURCE['registered_tasks'])
|
| 25 |
+
MAX_STEPS = 30
|
| 26 |
+
TOOLS = [
|
| 27 |
+
{'name': 'read', 'arguments': {'path': 'observed module filename'}},
|
| 28 |
+
{'name': 'write', 'arguments': {'path': 'observed editable module filename', 'code': 'complete replacement source'}},
|
| 29 |
+
{'name': 'test', 'arguments': {}},
|
| 30 |
+
{'name': 'submit', 'arguments': {}},
|
| 31 |
+
]
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
class LouiEnvironment(Environment):
|
| 35 |
+
SUPPORTS_CONCURRENT_SESSIONS = True
|
| 36 |
+
|
| 37 |
+
def __init__(self):
|
| 38 |
+
self.lock = RLock()
|
| 39 |
+
self.task = None
|
| 40 |
+
self.files = {}
|
| 41 |
+
self.count = 0
|
| 42 |
+
self.episode_id = None
|
| 43 |
+
self.terminal = None
|
| 44 |
+
|
| 45 |
+
def _observation(self, message, files=None, reward=0.0, done=False):
|
| 46 |
+
return ArenaObservation(task_id=self.task.task_id if self.task else '', message=message,
|
| 47 |
+
data={'files': files or {}, 'steps_left': max(0, MAX_STEPS-self.count)}, reward=reward, done=done)
|
| 48 |
+
|
| 49 |
+
def reset(self, *, task_id=None, seed=None, index=None, split='train', episode_id=None, **kwargs):
|
| 50 |
+
with self.lock:
|
| 51 |
+
if split != 'train':
|
| 52 |
+
raise ValueError('Unknown split')
|
| 53 |
+
if index is not None:
|
| 54 |
+
if type(index) is not int or not 0 <= index < len(TASK_IDS):
|
| 55 |
+
raise ValueError('Invalid task index')
|
| 56 |
+
if task_id is not None and task_id != TASK_IDS[index]:
|
| 57 |
+
raise ValueError('Task selection mismatch')
|
| 58 |
+
task_id = TASK_IDS[index]
|
| 59 |
+
task_id = task_id or TASK_IDS[0]
|
| 60 |
+
if task_id not in TASK_IDS or (seed is not None and type(seed) is not int):
|
| 61 |
+
raise ValueError('Invalid task or seed')
|
| 62 |
+
self.task = original_tasks.make_task(task_id, 0 if seed is None else seed)
|
| 63 |
+
self.files = dict(self.task.starter)
|
| 64 |
+
self.count = 0
|
| 65 |
+
self.episode_id = episode_id or uuid4().hex
|
| 66 |
+
self.terminal = None
|
| 67 |
+
note = 'Read with {"op":"call","tool":"read","arguments":{"path":"main.py"}}. Other tools: write, test, submit. Finish with {"op":"finish"}. '
|
| 68 |
+
value = self._observation(note+self.task.prompt+'\nPublic examples: '+json.dumps(self.task.visible), dict(self.files))
|
| 69 |
+
value.data['tools'] = TOOLS
|
| 70 |
+
value.data['available_ops'] = ['call', 'finish']
|
| 71 |
+
return value
|
| 72 |
+
|
| 73 |
+
def _finish(self):
|
| 74 |
+
if self.terminal is None:
|
| 75 |
+
result = original_execution.grade(self.files, self.task.hidden)
|
| 76 |
+
self.terminal = self._observation(json.dumps(result), reward=result['reward'], done=True)
|
| 77 |
+
return self.terminal
|
| 78 |
+
|
| 79 |
+
def step(self, action, timeout_s=None, **kwargs):
|
| 80 |
+
with self.lock:
|
| 81 |
+
action = action.action_payload() if isinstance(action, ArenaAction) else ArenaAction.model_validate(action).action_payload()
|
| 82 |
+
if self.task is None:
|
| 83 |
+
raise ValueError('Reset before stepping')
|
| 84 |
+
if self.terminal is not None:
|
| 85 |
+
return self.terminal
|
| 86 |
+
self.count += 1
|
| 87 |
+
if action['op'] == 'finish':
|
| 88 |
+
return self._finish()
|
| 89 |
+
message, files = '', {}
|
| 90 |
+
if action['op'] != 'call':
|
| 91 |
+
message = 'Shell execution is unavailable. Use read, write, test or submit.'
|
| 92 |
+
else:
|
| 93 |
+
tool, args = action['tool'], action['arguments']
|
| 94 |
+
if tool == 'submit':
|
| 95 |
+
if args:
|
| 96 |
+
message = 'submit takes no arguments.'
|
| 97 |
+
else:
|
| 98 |
+
return self._finish()
|
| 99 |
+
elif tool == 'read':
|
| 100 |
+
path = args.get('path')
|
| 101 |
+
if set(args) == {'path'} and isinstance(path, str) and path in self.files:
|
| 102 |
+
files[path] = self.files[path]
|
| 103 |
+
message = 'File contents.'
|
| 104 |
+
else:
|
| 105 |
+
message = 'Unknown file or invalid read arguments.'
|
| 106 |
+
elif tool == 'write':
|
| 107 |
+
path, code = args.get('path'), args.get('code')
|
| 108 |
+
if set(args) != {'path', 'code'} or not isinstance(path, str) or not isinstance(code, str) or len(code) > 16000:
|
| 109 |
+
message = 'Invalid write arguments.'
|
| 110 |
+
elif path not in self.files or path == 'settings.py':
|
| 111 |
+
message = 'Unknown or read-only file. Source unchanged.'
|
| 112 |
+
else:
|
| 113 |
+
candidate = dict(self.files, **{path: code})
|
| 114 |
+
try:
|
| 115 |
+
original_execution.validate(candidate)
|
| 116 |
+
self.files = candidate
|
| 117 |
+
message = 'Module replaced. Use test or submit.'
|
| 118 |
+
except (SyntaxError, ValueError, RecursionError) as error:
|
| 119 |
+
message = 'Rejected; source unchanged: '+str(error)[:180]
|
| 120 |
+
elif tool == 'test':
|
| 121 |
+
message = 'test takes no arguments.' if args else json.dumps(original_execution.grade(self.files, self.task.visible, feedback=True))
|
| 122 |
+
else:
|
| 123 |
+
message = 'Unknown tool. Use read, write, test or submit.'
|
| 124 |
+
if self.count >= MAX_STEPS:
|
| 125 |
+
return self._finish()
|
| 126 |
+
return self._observation(message, files)
|
| 127 |
+
|
| 128 |
+
@property
|
| 129 |
+
def state(self):
|
| 130 |
+
return State(episode_id=self.episode_id, step_count=self.count,
|
| 131 |
+
task_id=self.task.task_id if self.task else None, done=self.terminal is not None)
|
| 132 |
+
|
| 133 |
+
def close(self):
|
| 134 |
+
with self.lock:
|
| 135 |
+
self.task = None
|
| 136 |
+
self.files = {}
|
| 137 |
+
self.count = 0
|
| 138 |
+
self.terminal = None
|
| 139 |
+
self.episode_id = None
|
| 140 |
+
|
| 141 |
+
def get_metadata(self):
|
| 142 |
+
return EnvironmentMetadata(name='loui_repair', version='1.0.0', description='Original multi-module repair tasks.')
|
| 143 |
+
|
| 144 |
+
def list_splits(self):
|
| 145 |
+
return ['train']
|
| 146 |
+
|
| 147 |
+
def list_tasks(self, split):
|
| 148 |
+
if split != 'train':
|
| 149 |
+
raise ValueError('Unknown split')
|
| 150 |
+
return [{'id': name, 'index': i} for i, name in enumerate(TASK_IDS)]
|
| 151 |
+
|
| 152 |
+
def num_tasks(self, split):
|
| 153 |
+
return len(self.list_tasks(split))
|
| 154 |
+
|
| 155 |
+
def get_task(self, split, index):
|
| 156 |
+
return self.list_tasks(split)[index]
|
| 157 |
+
|
| 158 |
+
def get_task_range(self, split, start=None, stop=None):
|
| 159 |
+
return self.list_tasks(split)[start:stop]
|
components/loui/runtime/loui/executor.py
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import base64
|
| 2 |
+
import os
|
| 3 |
+
from pathlib import Path
|
| 4 |
+
import signal
|
| 5 |
+
import subprocess
|
| 6 |
+
import sys
|
| 7 |
+
import tempfile
|
| 8 |
+
from types import SimpleNamespace
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
class InfrastructureError(RuntimeError):
|
| 12 |
+
pass
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
def configure(module):
|
| 16 |
+
original_runner = module.RUNNER
|
| 17 |
+
root = Path('/var/lib/loui-exec')
|
| 18 |
+
root.mkdir(mode=0o711, parents=True, exist_ok=True)
|
| 19 |
+
os.chmod(root, 0o711)
|
| 20 |
+
|
| 21 |
+
def temporary_directory(*args, **kwargs):
|
| 22 |
+
return tempfile.TemporaryDirectory(*args, **{**kwargs, 'dir': str(root)})
|
| 23 |
+
|
| 24 |
+
def run(argv, *, input, text, stdout, stderr, timeout, cwd, env):
|
| 25 |
+
if argv != [sys.executable, '-I', '-S', '-c', original_runner]:
|
| 26 |
+
raise InfrastructureError('Unexpected verifier command')
|
| 27 |
+
if sys.platform != 'linux' or os.geteuid() != 0:
|
| 28 |
+
raise InfrastructureError('Linux root supervisor required')
|
| 29 |
+
work = Path(cwd)
|
| 30 |
+
if work.parent != root or work.is_symlink() or not work.is_dir():
|
| 31 |
+
raise InfrastructureError('Invalid execution directory')
|
| 32 |
+
os.chown(work, 2000, 2000)
|
| 33 |
+
os.chmod(work, 0o700)
|
| 34 |
+
read_fd, write_fd = os.pipe()
|
| 35 |
+
process = None
|
| 36 |
+
encoded = base64.b64encode(original_runner.encode()).decode()
|
| 37 |
+
command = [sys.executable, '-I', '-S', str(Path(__file__).with_name('child.py')), str(write_fd), encoded]
|
| 38 |
+
try:
|
| 39 |
+
process = subprocess.Popen(command, stdin=subprocess.PIPE, stdout=stdout, stderr=stderr,
|
| 40 |
+
text=text, cwd=cwd, env=env, pass_fds=(write_fd,), start_new_session=True)
|
| 41 |
+
os.close(write_fd)
|
| 42 |
+
write_fd = None
|
| 43 |
+
timed_out = None
|
| 44 |
+
try:
|
| 45 |
+
out, err = process.communicate(input, timeout=timeout)
|
| 46 |
+
except subprocess.TimeoutExpired as error:
|
| 47 |
+
timed_out = error
|
| 48 |
+
os.killpg(process.pid, signal.SIGKILL)
|
| 49 |
+
out, err = process.communicate()
|
| 50 |
+
status = os.read(read_fd, 2048)
|
| 51 |
+
if status != b'ready':
|
| 52 |
+
raise InfrastructureError('Learner isolation failed: ' + status.decode(errors='replace'))
|
| 53 |
+
if timed_out is not None:
|
| 54 |
+
raise timed_out
|
| 55 |
+
return subprocess.CompletedProcess(argv, process.returncode, out, err)
|
| 56 |
+
finally:
|
| 57 |
+
if write_fd is not None:
|
| 58 |
+
os.close(write_fd)
|
| 59 |
+
os.close(read_fd)
|
| 60 |
+
if process is not None and process.poll() is None:
|
| 61 |
+
os.killpg(process.pid, signal.SIGKILL)
|
| 62 |
+
process.wait()
|
| 63 |
+
|
| 64 |
+
module.subprocess = SimpleNamespace(run=run, DEVNULL=subprocess.DEVNULL,
|
| 65 |
+
TimeoutExpired=subprocess.TimeoutExpired)
|
| 66 |
+
module.tempfile = SimpleNamespace(TemporaryDirectory=temporary_directory)
|
components/{mimo-code/source_bundle/runtime/code_runtime → loui/runtime/loui}/server.py
RENAMED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
-
|
| 2 |
from openenv.core.env_server.http_server import create_app
|
| 3 |
from common.models import ArenaAction, ArenaObservation
|
| 4 |
-
from .environment import
|
| 5 |
|
| 6 |
-
app=create_app(
|
| 7 |
|
| 8 |
|
| 9 |
def main():
|
| 10 |
import uvicorn
|
| 11 |
-
uvicorn.run(app,host='0.0.0.0',port=8000,log_level='warning')
|
| 12 |
|
| 13 |
|
| 14 |
-
if __name__=='__main__':
|
|
|
|
|
|
|
|
|
| 1 |
from openenv.core.env_server.http_server import create_app
|
| 2 |
from common.models import ArenaAction, ArenaObservation
|
| 3 |
+
from .environment import LouiEnvironment
|
| 4 |
|
| 5 |
+
app = create_app(LouiEnvironment, ArenaAction, ArenaObservation, env_name='loui_repair', max_concurrent_envs=5)
|
| 6 |
|
| 7 |
|
| 8 |
def main():
|
| 9 |
import uvicorn
|
| 10 |
+
uvicorn.run(app, host='0.0.0.0', port=8000, log_level='warning')
|
| 11 |
|
| 12 |
|
| 13 |
+
if __name__ == '__main__':
|
| 14 |
+
main()
|
components/loui/tasks/expression-3/instruction.md
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
solve(text): text is a valid arithmetic expression of nonnegative integer literals, whitespace, parentheses, unary +/- and binary + - * / ^. Use exact rational arithmetic. Power is right-associative and binds MORE tightly than unary signs; multiplication/division are left-associative and bind more tightly than addition/subtraction. Exponents evaluate to nonnegative integers; no zero divisor occurs. Return the canonical fractions.Fraction string, integer if denominator=1, else numerator/denominator. Example -2^2 is -4, 2^3^2 is 512, 8/4/2 is 1. Input unchanged.
|
| 2 |
+
Runtime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.
|
components/loui/tasks/incident-3/instruction.md
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
solve(events): process events by (time, original index), preserving ties. Global event id deduplication keeps the first in that sorted order. Group failures by (user,ip). At each failure retain times in inclusive [time-WINDOW,time]. Alert [user,ip,time] only on a crossing from fewer than THRESHOLD failures to at least THRESHOLD. A success clears that pair only. Return alerts in processing order, without mutating events.
|
| 2 |
+
Runtime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.
|
components/loui/upstream/LICENSE
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
MIT License
|
| 2 |
+
|
| 3 |
+
Copyright (c) 2026 Louis Grenard
|
| 4 |
+
|
| 5 |
+
Permission is hereby granted, free of charge, to any person obtaining a copy
|
| 6 |
+
of this software and associated documentation files (the "Software"), to deal
|
| 7 |
+
in the Software without restriction, including without limitation the rights
|
| 8 |
+
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
| 9 |
+
copies of the Software, and to permit persons to whom the Software is
|
| 10 |
+
furnished to do so, subject to the following conditions:
|
| 11 |
+
|
| 12 |
+
The above copyright notice and this permission notice shall be included in all
|
| 13 |
+
copies or substantial portions of the Software.
|
| 14 |
+
|
| 15 |
+
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
| 16 |
+
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
| 17 |
+
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
| 18 |
+
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
| 19 |
+
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
| 20 |
+
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
| 21 |
+
SOFTWARE.
|
components/loui/upstream/v3/README.md
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Python Repair Lab v3
|
| 2 |
+
|
| 3 |
+
Status: implemented, locally verified and probed with real quantized Qwen. The owner approved proceeding to public image/source publication without further tuning; CI verifies the Linux container and anonymous pull before any submission. NOT full-precision calibrated or submitted to Arena. Invalid replies and budget limits still confound the difficulty probe. An official-template raw adapter resolved local tool-parser errors. No score improvement is claimed. The published v2 baseline is preserved at https://github.com/louistiti/openenv-python-repair .
|
| 4 |
+
|
| 5 |
+
## What changed
|
| 6 |
+
|
| 7 |
+
24 declared task IDs: eight algorithmic families, three defect counts (one, two or three). Each reset creates five Python modules, seeded constants and examples, and a seeded subset of defects in separate modules. This is eight repair families, not 1,200 unrelated algorithms. The 1,200 replays below are verification episodes, not model rollouts or a training dataset row-count claim.
|
| 8 |
+
|
| 9 |
+
Families: FIFO multi-account accounting; half-open weighted capacity scheduling; dependency-graph timing and invalidity; deduplicated incident correlation; calibrated sensor aggregation; exact quoted-CSV reconciliation; min-cost capacitated allocation with reassignment; rational expression parsing with unary signs and right-associative powers.
|
| 10 |
+
|
| 11 |
+
Actions: read, write, test, submit. Initial observation contains the workspace, specification and three public examples. Write replaces one observed module after validation; settings.py is read-only. Test shows only public-example feedback. Submit uses hidden edge/random checks and ends; the 30-action budget also forces terminal grading. Invalid/fenced/non-JSON model replies are handled by the rollout harness by submitting current source, as in the Arena finish-action mechanism.
|
| 12 |
+
|
| 13 |
+
Terminal reward is the mean of per-behavior-group pass rates, not the pass rate dominated by numerous random cases. Intermediate reward is zero. Exact type-aware recursive comparisons reject bool/int confusion, extra keys, nonfinite values and input mutation. Parent-side verifiers alone own expected outputs and reward. Candidate execution receives input arguments and source, not references, expected answers, verifier groups or rewards.
|
| 14 |
+
|
| 15 |
+
## Local verification
|
| 16 |
+
|
| 17 |
+
Pinned OpenEnv SDK: 86a180ede21e044f7929b9a7783ad83aa67d83a3.
|
| 18 |
+
|
| 19 |
+
- 100 tests passed (environment, WebSocket/HTTP sessions, attack/resource checks, calibration-harness unit tests, and deterministic witnesses for every designed defect).
|
| 20 |
+
- 1,200 fresh episodes: 50 reset seeds (1000 through 1049) for every one of the 24 IDs. Every reference scored 1; every starter scored below 1.
|
| 21 |
+
- 2,400 single-defect ablations: every remaining defect was detected by hidden checks.
|
| 22 |
+
- Real network WebSocket replay of all 24 IDs at seed 1234 passed for reference and starter outcomes.
|
| 23 |
+
- Official live OpenEnv runtime validation: 6/6 checks passed. This is contract validation, not Arena admission or model evaluation.
|
| 24 |
+
- Real local Qwen probes: 12 completed primary episodes, plus 25 completed episodes out of a requested 32 across all eight families. One extra diagnostic episode was completed separately. A further official-template raw sweep completed 32/32 episodes with zero inference errors, 15 full rewards and seven mixed groups. Nine earlier inference-aborted attempts across runs were not scored as zero. See CALIBRATION.md for limits and replacement accounting. Mock transport tests do not count as model results.
|
| 25 |
+
|
| 26 |
+
Evidence: replay-results.json, live-replay-results.json, validation-runtime.json and test-results.txt. The raw replay progress is in replay-progress.jsonl.
|
| 27 |
+
|
| 28 |
+
## Reproduce
|
| 29 |
+
|
| 30 |
+
From this directory, use the virtual environment one level above. For a fresh checkout or extracted draft, create it first (Python 3.11+ and Git required):
|
| 31 |
+
|
| 32 |
+
python3 -m venv ../.venv
|
| 33 |
+
../.venv/bin/python -m pip install -r requirements-calibration.txt pytest
|
| 34 |
+
|
| 35 |
+
Then run:
|
| 36 |
+
|
| 37 |
+
../.venv/bin/python -m pytest -q test_environment.py test_calibrate.py test_targeted.py test_calibrate_raw.py
|
| 38 |
+
../.venv/bin/python replay.py --seeds 50 --start 1000
|
| 39 |
+
../.venv/bin/uvicorn server:app --host 127.0.0.1 --port 8766
|
| 40 |
+
../.venv/bin/openenv validate --url http://127.0.0.1:8766 --level runtime --json
|
| 41 |
+
|
| 42 |
+
Public Linux image: ghcr.io/louistiti/openenv-python-repair:v3. See https://github.com/louistiti/openenv-python-repair/releases/tag/v3 for container validation and anonymous pull reports once CI completes. The workflow tests all 24 IDs over a real WebSocket and checks the exact SDK schema. The proposed submission is submission-v3.json; its image tag is replaced by the verified immutable digest before owner review. Separate explicit owner approval is required before submission.
|
| 43 |
+
|
| 44 |
+
## Qwen calibration gate
|
| 45 |
+
|
| 46 |
+
The owner updated Ollama to 0.40.2; qwen3.8:27b was successfully downloaded and tested using its nvfp4/MLX runner. No paid GPU/inference service was used or authorized. The chat API produced mixed rewards but also HTTP 500 EOF/XML tool-parser errors. The official-template raw adapter removed those errors: 32/32 episodes completed; seven groups were mixed. After excluding invalid endings, only workflow, incident, allocation and expression still showed reward variation, with some budget confounding. Frequent invalid JSON/prose still prevents a clean overall task-difficulty claim. See CALIBRATION.md. With Ollama listening locally, reproduce a probe using:
|
| 47 |
+
|
| 48 |
+
ollama pull qwen3.8:27b
|
| 49 |
+
../.venv/bin/python calibrate_raw.py --tasks allocation-3 expression-3 incident-3 workflow-3 --seed 5001 --repeats 4
|
| 50 |
+
|
| 51 |
+
The harness uses untrained local Qwen, thinking off, one exact JSON action per response, no JSON-constrained decoding and four stochastic rollouts per task/reset group. Inspect full and partial reward spread, invalid-action rate, truncations and elapsed time. If every group is uniformly perfect or uniformly unsuccessful, change difficulty and rerun. Mixed rewards are a candidate GRPO signal, NOT evidence of an optimizer gradient or learning gain.
|
| 52 |
+
|
| 53 |
+
Local Ollama uses quantized weights, unlike Arena's full-precision model. Runtime/template details are recorded; completion budget counts generated model tokens plus an explicitly approximate observation-token estimate. Context uses Ollama's prompt counter. The per-reply generation cap is 1,600 tokens, with a 4,096-token approximate completion budget and 8,192-token context. Temperature is a configurable local choice, not asserted to match Arena. Inference errors are recorded as ungraded attempts, not reward zero; reports distinguish requested and completed episode counts. Results are a proxy, never an Arena score prediction. For strong evidence, follow this with an authorized full-precision Qwen3.8-27B preflight. Never spend the daily submission slot as a substitute for calibration.
|
| 54 |
+
|
| 55 |
+
## Limits and originality
|
| 56 |
+
|
| 57 |
+
This is restricted Python, not a general Python sandbox. Only local modules and tightly exposed csv, io.StringIO and fractions.Fraction imports are available. No dynamic introspection, private attributes, filesystem, network or processes. A fresh isolated interpreter has CPU/wall/file/descriptor caps; Linux adds a 256 MiB address-space cap. Mac address-space limits are not applied. The container is the outer security boundary; more adversarial audit is needed before treating this as a secure arbitrary-code runner.
|
| 58 |
+
|
| 59 |
+
Templates still exist, and an effective learner could master all eight solution programs. Seeded data and interacting defects reduce simple single-line repetition but do not by themselves prove useful transfer to Arena's eight evaluation domains. Correctness testing and learning testing are separate gates. All code, tasks and oracles are original synthetic work; no personal data, credentials or private evaluation tasks are included. MIT license inherited from repository root.
|
components/loui/upstream/v3/execution.py
ADDED
|
@@ -0,0 +1,154 @@
|
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|
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|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Bounded restricted Python execution. Parent owns all expected answers and rewards.
|
| 2 |
+
|
| 3 |
+
Not a general sandbox. AST/builtin restrictions and a subprocess are defense in
|
| 4 |
+
depth; the container is the outer isolation boundary. Hidden tests, references
|
| 5 |
+
and grading state are never sent to the candidate interpreter.
|
| 6 |
+
"""
|
| 7 |
+
import ast
|
| 8 |
+
import json
|
| 9 |
+
import math
|
| 10 |
+
import subprocess
|
| 11 |
+
import sys
|
| 12 |
+
import tempfile
|
| 13 |
+
from pathlib import Path
|
| 14 |
+
|
| 15 |
+
STDLIB = {'csv', 'io', 'fractions'}
|
| 16 |
+
EXPORTS = {'csv': {'DictReader', 'reader'}, 'io': {'StringIO'}, 'fractions': {'Fraction'}}
|
| 17 |
+
METHODS = set('append extend pop insert remove clear sort reverse count index get keys values items setdefault add discard union intersection difference split splitlines join strip lstrip rstrip replace startswith endswith lower upper casefold isdigit isalpha isalnum isspace copy fromkeys numerator denominator limit_denominator'.split()) | set().union(*EXPORTS.values())
|
| 18 |
+
MAX_SOURCE = 48000
|
| 19 |
+
RUNNER = r'''
|
| 20 |
+
import builtins, contextlib, importlib, io, json, resource, sys, types
|
| 21 |
+
resource.setrlimit(resource.RLIMIT_CPU, (2,2))
|
| 22 |
+
if sys.platform != 'darwin':
|
| 23 |
+
resource.setrlimit(resource.RLIMIT_AS,(256*1024*1024,256*1024*1024))
|
| 24 |
+
resource.setrlimit(resource.RLIMIT_FSIZE,(1048576,1048576))
|
| 25 |
+
resource.setrlimit(resource.RLIMIT_NOFILE,(16,16))
|
| 26 |
+
resource.setrlimit(resource.RLIMIT_CORE,(0,0))
|
| 27 |
+
payload=json.load(sys.stdin)
|
| 28 |
+
sources={p[:-3]:c for p,c in payload['files'].items()}
|
| 29 |
+
allowed={n:getattr(builtins,n) for n in 'abs all any bool dict enumerate filter float int isinstance len list map max min pow range reversed round set sorted str sum tuple zip Exception ValueError TypeError'.split()}
|
| 30 |
+
cache={}
|
| 31 |
+
loading=set()
|
| 32 |
+
def load(name,globals=None,locals=None,fromlist=(),level=0):
|
| 33 |
+
if level or '.' in name:
|
| 34 |
+
raise ImportError('only absolute top-level imports')
|
| 35 |
+
if name in ('csv','io','fractions'):
|
| 36 |
+
names={'csv':['DictReader','reader'],'io':['StringIO'],'fractions':['Fraction']}[name]
|
| 37 |
+
safe=types.ModuleType(name)
|
| 38 |
+
original=importlib.import_module(name)
|
| 39 |
+
for n in names:
|
| 40 |
+
setattr(safe,n,getattr(original,n))
|
| 41 |
+
return safe
|
| 42 |
+
if name not in sources:
|
| 43 |
+
raise ImportError(name)
|
| 44 |
+
if name in loading:
|
| 45 |
+
raise ImportError('circular local import')
|
| 46 |
+
if name not in cache:
|
| 47 |
+
loading.add(name)
|
| 48 |
+
module=types.ModuleType(name)
|
| 49 |
+
module.__dict__['__builtins__']=dict(allowed, __import__=load)
|
| 50 |
+
exec(sources[name],module.__dict__,module.__dict__)
|
| 51 |
+
cache[name]=module
|
| 52 |
+
loading.remove(name)
|
| 53 |
+
return cache[name]
|
| 54 |
+
results=[]
|
| 55 |
+
try:
|
| 56 |
+
with contextlib.redirect_stdout(io.StringIO()):
|
| 57 |
+
solve=load('main').solve
|
| 58 |
+
for args in payload['args']:
|
| 59 |
+
original=json.dumps(args,sort_keys=True,allow_nan=False)
|
| 60 |
+
try:
|
| 61 |
+
output=solve(*args)
|
| 62 |
+
encoded=json.dumps(output,allow_nan=False)
|
| 63 |
+
if len(encoded)>20000:
|
| 64 |
+
raise ValueError('output too large')
|
| 65 |
+
results.append({'output':json.loads(encoded),'mutated':original!=json.dumps(args,sort_keys=True,allow_nan=False)})
|
| 66 |
+
except BaseException as e:
|
| 67 |
+
results.append({'error':type(e).__name__})
|
| 68 |
+
except BaseException as e:
|
| 69 |
+
results=[{'error':type(e).__name__} for args in payload['args']]
|
| 70 |
+
print(json.dumps(results,allow_nan=False))
|
| 71 |
+
'''
|
| 72 |
+
|
| 73 |
+
def validate(files):
|
| 74 |
+
if 'main.py' not in files or sum(len(c) for c in files.values()) > MAX_SOURCE:
|
| 75 |
+
raise ValueError('Missing main.py or workspace too large')
|
| 76 |
+
locals_allowed = {p[:-3] for p in files}
|
| 77 |
+
for path, code in files.items():
|
| 78 |
+
if not path.endswith('.py') or not path[:-3].isidentifier() or path.startswith('_'):
|
| 79 |
+
raise ValueError('Only flat public Python module names')
|
| 80 |
+
tree = ast.parse(code)
|
| 81 |
+
if path == 'main.py' and not any(isinstance(n,ast.FunctionDef) and n.name=='solve' for n in tree.body):
|
| 82 |
+
raise ValueError('main.py must define solve')
|
| 83 |
+
for n in ast.walk(tree):
|
| 84 |
+
if isinstance(n,(ast.ClassDef,ast.AsyncFunctionDef,ast.Await,ast.With,ast.AsyncWith,ast.Global,ast.Nonlocal)):
|
| 85 |
+
raise ValueError('Unsupported control construct')
|
| 86 |
+
if isinstance(n,ast.Import):
|
| 87 |
+
for a in n.names:
|
| 88 |
+
if a.name not in locals_allowed | STDLIB or (a.asname or a.name).startswith('_'):
|
| 89 |
+
raise ValueError('Import unavailable')
|
| 90 |
+
if isinstance(n,ast.ImportFrom):
|
| 91 |
+
if n.level or n.module not in locals_allowed | STDLIB or any(a.name.startswith('_') or (a.asname or '').startswith('_') or a.name=='*' or (n.module in STDLIB and a.name not in EXPORTS[n.module]) for a in n.names):
|
| 92 |
+
raise ValueError('Import unavailable')
|
| 93 |
+
if isinstance(n,ast.Attribute) and n.attr not in METHODS:
|
| 94 |
+
raise ValueError('Private attributes and I/O unavailable')
|
| 95 |
+
if isinstance(n,ast.Name) and (n.id.startswith('_') or n.id in {'open','eval','exec','compile','globals','locals','vars','getattr','setattr','delattr','hasattr','type','input','print','breakpoint','help','dir','memoryview'}):
|
| 96 |
+
raise ValueError('Private/dynamic names and I/O unavailable')
|
| 97 |
+
if isinstance(n,(ast.FunctionDef,ast.arg)):
|
| 98 |
+
name=n.name if isinstance(n,ast.FunctionDef) else n.arg
|
| 99 |
+
if name.startswith('_') or (isinstance(n,ast.FunctionDef) and n.decorator_list):
|
| 100 |
+
raise ValueError('Private or decorated functions unavailable')
|
| 101 |
+
if isinstance(n,ast.ExceptHandler) and n.name and n.name.startswith('_'):
|
| 102 |
+
raise ValueError('Private exception alias unavailable')
|
| 103 |
+
return True
|
| 104 |
+
|
| 105 |
+
def equal(actual, expected):
|
| 106 |
+
if isinstance(actual,bool) or isinstance(expected,bool):
|
| 107 |
+
return type(actual) is type(expected) and actual==expected
|
| 108 |
+
if isinstance(actual,(int,float)) and isinstance(expected,(int,float)):
|
| 109 |
+
return math.isfinite(actual) and math.isclose(actual,expected,rel_tol=1e-10,abs_tol=1e-10)
|
| 110 |
+
if isinstance(actual,list) and isinstance(expected,list):
|
| 111 |
+
return len(actual)==len(expected) and all(equal(a,b) for a,b in zip(actual,expected))
|
| 112 |
+
if isinstance(actual,dict) and isinstance(expected,dict):
|
| 113 |
+
return actual.keys()==expected.keys() and all(equal(actual[k],expected[k]) for k in expected)
|
| 114 |
+
return type(actual) is type(expected) and actual==expected
|
| 115 |
+
|
| 116 |
+
def grade(files, cases, feedback=False):
|
| 117 |
+
total=len(cases)
|
| 118 |
+
outputs=[]
|
| 119 |
+
error=None
|
| 120 |
+
try:
|
| 121 |
+
validate(files)
|
| 122 |
+
# Bounded spool prevents untrusted output exhausting parent memory.
|
| 123 |
+
with tempfile.TemporaryDirectory(prefix='repair-v3-') as work:
|
| 124 |
+
output_path=Path(work)/'result'
|
| 125 |
+
with output_path.open('w+') as out:
|
| 126 |
+
process=subprocess.run([sys.executable,'-I','-S','-c',RUNNER],
|
| 127 |
+
input=json.dumps({'files':files,'args':[c['args'] for c in cases]}),
|
| 128 |
+
text=True,stdout=out,stderr=subprocess.DEVNULL,timeout=3,
|
| 129 |
+
cwd=work,env={'PATH':'/usr/bin:/bin'})
|
| 130 |
+
out.seek(0)
|
| 131 |
+
raw=out.read(1048577)
|
| 132 |
+
if process.returncode or len(raw)>1048576:
|
| 133 |
+
raise ValueError('execution/resource limit')
|
| 134 |
+
outputs=json.loads(raw)
|
| 135 |
+
if not isinstance(outputs,list) or len(outputs)!=total:
|
| 136 |
+
raise ValueError('invalid result protocol')
|
| 137 |
+
except (ValueError,SyntaxError,RecursionError,subprocess.TimeoutExpired) as e:
|
| 138 |
+
error=type(e).__name__+': '+str(e)[:150]
|
| 139 |
+
groups, failures, passed={},[],0
|
| 140 |
+
for i,c in enumerate(cases):
|
| 141 |
+
result=outputs[i] if i<len(outputs) else {'error':error or 'no output'}
|
| 142 |
+
ok=isinstance(result,dict) and 'output' in result and not result.get('mutated') and equal(result['output'],c['expected'])
|
| 143 |
+
passed+=int(ok)
|
| 144 |
+
tally=groups.setdefault(c['group'],[0,0]); tally[0]+=int(ok); tally[1]+=1
|
| 145 |
+
if feedback and not ok and len(failures)<3:
|
| 146 |
+
failures.append({'args':c['args'],'expected':c['expected'],'actual':result})
|
| 147 |
+
# Balance distinct behaviors instead of allowing random easy cases to swamp edge cases.
|
| 148 |
+
reward=sum(a/b for a,b in groups.values())/len(groups) if groups else 0.0
|
| 149 |
+
result={'passed':passed,'total':total,'reward':reward}
|
| 150 |
+
if feedback:
|
| 151 |
+
result['failures']=failures
|
| 152 |
+
if error:
|
| 153 |
+
result['error']=error
|
| 154 |
+
return result
|
components/loui/upstream/v3/hard_tasks.py
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Harder algorithmic repair families with independent small-instance oracles."""
|
| 2 |
+
import ast
|
| 3 |
+
from fractions import Fraction
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
def allocation_ref(workers,jobs,quotes):
|
| 7 |
+
cost={(w,j):c for w,j,c in quotes}
|
| 8 |
+
slots=[j for j,d in jobs for _ in range(d)]
|
| 9 |
+
remaining=dict(workers)
|
| 10 |
+
best=(0,0)
|
| 11 |
+
def search(i,filled,total):
|
| 12 |
+
nonlocal best
|
| 13 |
+
if i==len(slots):
|
| 14 |
+
if filled>best[0] or (filled==best[0] and total<best[1]):
|
| 15 |
+
best=(filled,total)
|
| 16 |
+
return
|
| 17 |
+
search(i+1,filled,total)
|
| 18 |
+
j=slots[i]
|
| 19 |
+
for w in remaining:
|
| 20 |
+
if remaining[w]>0 and (w,j) in cost:
|
| 21 |
+
remaining[w]-=1
|
| 22 |
+
search(i+1,filled+1,total+cost[w,j])
|
| 23 |
+
remaining[w]+=1
|
| 24 |
+
search(0,0,0)
|
| 25 |
+
return {'filled':best[0],'cost':best[1]}
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def expression_ref(text):
|
| 29 |
+
# AST visitor is independent of the candidate's tokenizer/Pratt parser.
|
| 30 |
+
tree=ast.parse(text.strip().replace('^','**'),mode='eval')
|
| 31 |
+
def evaluate(n):
|
| 32 |
+
if isinstance(n,ast.Constant) and type(n.value) is int:
|
| 33 |
+
return Fraction(n.value)
|
| 34 |
+
if isinstance(n,ast.UnaryOp):
|
| 35 |
+
v=evaluate(n.operand)
|
| 36 |
+
return -v if isinstance(n.op,ast.USub) else v
|
| 37 |
+
a,b=evaluate(n.left),evaluate(n.right)
|
| 38 |
+
if isinstance(n.op,ast.Add): return a+b
|
| 39 |
+
if isinstance(n.op,ast.Sub): return a-b
|
| 40 |
+
if isinstance(n.op,ast.Mult): return a*b
|
| 41 |
+
if isinstance(n.op,ast.Div): return a/b
|
| 42 |
+
if isinstance(n.op,ast.Pow): return a**b
|
| 43 |
+
raise ValueError('operator')
|
| 44 |
+
return str(evaluate(tree.body))
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
HARD_SPECS={
|
| 48 |
+
'allocation': (
|
| 49 |
+
'solve(workers,jobs,quotes): workers=[[name,capacity],...], jobs=[[name,demand],...], quotes=[[worker,job,cost_per_unit],...] (unique pairs, nonnegative integer costs). Unquoted assignments are forbidden. Allocate integer units, never exceed a worker capacity or job demand. First maximize total filled demand, then minimize cost among all such allocations. Return exactly {filled:int,cost:int}. A greedy edge ordering is insufficient; reassignment may be necessary. Names in each list are unique. Empty and disconnected instances are valid; do not mutate inputs.',
|
| 50 |
+
{
|
| 51 |
+
'network.py': "def edge(graph,a,b,cap,cost):\n graph[a].append([b,len(graph[b]),cap,cost])\n graph[b].append([a,len(graph[a])-1,0,-cost])\n",
|
| 52 |
+
'paths.py': "def shortest(graph,source):\n n=len(graph)\n distance=[None]*n\n parent=[None]*n\n distance[source]=0\n for turn in range(n-1):\n changed=False\n for a in range(n):\n if distance[a] is not None:\n for idx,e in enumerate(graph[a]):\n b,rev,cap,cost=e\n if cap>0 and (distance[b] is None or distance[a]+cost<distance[b]):\n distance[b]=distance[a]+cost\n parent[b]=(a,idx)\n changed=True\n if not changed:\n break\n return distance,parent\n",
|
| 53 |
+
'augment.py': "def send(graph,parent,source,sink):\n path=[]\n v=sink\n while v!=source:\n a,idx=parent[v]\n path.append((a,idx))\n v=a\n amount=min(graph[a][idx][2] for a,idx in path)\n for a,idx in path:\n b,rev,cap,cost=graph[a][idx]\n graph[a][idx][2]-=amount\n graph[b][rev][2]+=amount\n return amount\n",
|
| 54 |
+
'main.py': "from network import edge\nfrom paths import shortest\nfrom augment import send\ndef solve(workers,jobs,quotes):\n wmap={name:i+1 for i,(name,c) in enumerate(workers)}\n jmap={name:len(workers)+i+1 for i,(name,d) in enumerate(jobs)}\n source,sink=0,len(workers)+len(jobs)+1\n graph=[[] for i in range(sink+1)]\n for name,c in workers:\n edge(graph,source,wmap[name],c,0)\n for name,d in jobs:\n edge(graph,jmap[name],sink,d,0)\n for w,j,c in quotes:\n edge(graph,wmap[w],jmap[j],sum(d for name,d in jobs),c)\n filled,total=0,0\n while True:\n distance,parent=shortest(graph,source)\n if distance[sink] is None:\n break\n amount=send(graph,parent,source,sink)\n filled+=amount\n total+=amount*distance[sink]\n return {'filled':filled,'cost':total}\n",
|
| 55 |
+
}, [('network.py','len(graph[a])-1,0,-cost','len(graph[a])-1,0,cost'),
|
| 56 |
+
('paths.py','range(n-1)','range(1)'),
|
| 57 |
+
('augment.py','amount=min(','amount=max(')]),
|
| 58 |
+
'expression': (
|
| 59 |
+
'solve(text): text is a valid arithmetic expression of nonnegative integer literals, whitespace, parentheses, unary +/- and binary + - * / ^. Use exact rational arithmetic. Power is right-associative and binds MORE tightly than unary signs; multiplication/division are left-associative and bind more tightly than addition/subtraction. Exponents evaluate to nonnegative integers; no zero divisor occurs. Return the canonical fractions.Fraction string, integer if denominator=1, else numerator/denominator. Example -2^2 is -4, 2^3^2 is 512, 8/4/2 is 1. Input unchanged.',
|
| 60 |
+
{
|
| 61 |
+
'lex.py': "def tokens(text):\n out=[]\n i=0\n while i<len(text):\n c=text[i]\n if c.isspace():\n i+=1\n elif c.isdigit():\n j=i+1\n while j<len(text) and text[j].isdigit():\n j+=1\n out.append(text[i:j])\n i=j\n else:\n out.append(c)\n i+=1\n return out\n",
|
| 62 |
+
'binding.py': "def powers(op):\n if op in ('+','-'): return (10,11)\n if op in ('*','/'): return (20,21)\n if op=='^': return (40,40)\n return (-1,-1)\n",
|
| 63 |
+
'unary.py': "def precedence():\n return 30\n",
|
| 64 |
+
'main.py': "from fractions import Fraction\nfrom lex import tokens\nfrom binding import powers\nfrom unary import precedence\ndef parse(ts,pos,minimum):\n token=ts[pos]\n if token in ('+','-'):\n value,pos=parse(ts,pos+1,precedence())\n if token=='-': value=-value\n elif token=='(':\n value,pos=parse(ts,pos+1,0)\n if ts[pos]!=')': raise ValueError('parenthesis')\n pos+=1\n else:\n value=Fraction(int(token))\n pos+=1\n while pos<len(ts):\n op=ts[pos]\n left,right=powers(op)\n if left<minimum: break\n other,pos=parse(ts,pos+1,right)\n if op=='+': value+=other\n elif op=='-': value-=other\n elif op=='*': value*=other\n elif op=='/': value/=other\n elif op=='^': value=value**other\n return value,pos\ndef solve(text):\n ts=tokens(text)\n value,pos=parse(ts,0,0)\n if pos!=len(ts): raise ValueError('trailing tokens')\n return str(value)\n",
|
| 65 |
+
}, [('lex.py','while j<len(text) and text[j].isdigit():','while False:'),
|
| 66 |
+
('binding.py',"if op=='^': return (40,40)","if op=='^': return (40,41)"),
|
| 67 |
+
('unary.py','return 30','return 50')]),
|
| 68 |
+
}
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
def hard_cases(family,rng):
|
| 72 |
+
out=[]
|
| 73 |
+
def add(group,*args):
|
| 74 |
+
out.append({'group':group,'args':list(args)})
|
| 75 |
+
if family=='allocation':
|
| 76 |
+
add('empty',[],[],[])
|
| 77 |
+
add('reroute',[['a',1],['b',1]],[['x',1],['y',1]],[['a','x',1],['a','y',2],['b','x',2],['b','y',100]])
|
| 78 |
+
add('bottleneck',[['a',4]],[['x',1]],[['a','x',3]])
|
| 79 |
+
add('shortfall',[['a',2]],[['x',1],['y',3]],[['a','x',2]])
|
| 80 |
+
add('reverse_order',[['b',1],['a',1]],[['y',1],['x',1]],[['a','x',1],['a','y',2],['b','x',2],['b','y',100]])
|
| 81 |
+
for i in range(30):
|
| 82 |
+
workers=[[f'w{j}',rng.randint(1,3)] for j in range(rng.randint(2,3))]
|
| 83 |
+
jobs=[[f'j{j}',rng.randint(1,2)] for j in range(rng.randint(2,3))]
|
| 84 |
+
quotes=[[w,j,rng.randint(0,20)] for w,c in workers for j,d in jobs if rng.random()<.8]
|
| 85 |
+
rng.shuffle(workers); rng.shuffle(jobs); rng.shuffle(quotes)
|
| 86 |
+
add('random',workers,jobs,quotes)
|
| 87 |
+
else:
|
| 88 |
+
add('literal',str(rng.randint(10,99)))
|
| 89 |
+
add('unary',f'-{rng.randint(2,5)}^2')
|
| 90 |
+
add('power','2^3^2')
|
| 91 |
+
add('rational','8/4/2 + 1/3')
|
| 92 |
+
add('parentheses','-(12 + 3) * (5 - 8)')
|
| 93 |
+
def expression(depth):
|
| 94 |
+
if depth==0: return str(rng.randint(1,20))
|
| 95 |
+
op=rng.choice(['+','-','*','/','^'])
|
| 96 |
+
a=expression(depth-1)
|
| 97 |
+
b=str(rng.randint(1,5)) if op=='/' else str(rng.randint(0,3)) if op=='^' else expression(depth-1)
|
| 98 |
+
value=f'({a} {op} {b})'
|
| 99 |
+
return '-'+value if rng.random()<.25 else value
|
| 100 |
+
for i in range(30): add('random',expression(rng.randint(1,3)))
|
| 101 |
+
return out
|
components/loui/upstream/v3/server.py
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Python Repair Lab v3: generated multi-file debugging, OpenEnv pinned SDK."""
|
| 2 |
+
import json
|
| 3 |
+
from typing import Literal
|
| 4 |
+
from uuid import uuid4
|
| 5 |
+
|
| 6 |
+
from openenv.core.env_server.http_server import create_app
|
| 7 |
+
from openenv.core.env_server.interfaces import Environment
|
| 8 |
+
from openenv.core.env_server.types import Action, Observation, State
|
| 9 |
+
from pydantic import Field
|
| 10 |
+
|
| 11 |
+
from tasks import TASK_IDS, make_task
|
| 12 |
+
from execution import grade, validate
|
| 13 |
+
|
| 14 |
+
MAX_STEPS = 30
|
| 15 |
+
|
| 16 |
+
class RepairAction(Action):
|
| 17 |
+
operation: Literal['read','write','test','submit'] = Field(description='read returns a workspace file; write replaces one module; test runs visible examples; submit grades hidden cases and ends.')
|
| 18 |
+
path: str = Field(default='',max_length=80,description='Observed flat Python filename for read/write. No paths, new files or changes to settings.py.')
|
| 19 |
+
code: str = Field(default='',max_length=16000,description='Full replacement module for write. Allowed: local imports, csv.DictReader/reader, io.StringIO, fractions.Fraction and ordinary builtins/methods. No private attributes, filesystem, network, process or dynamic execution.')
|
| 20 |
+
|
| 21 |
+
class RepairObservation(Observation):
|
| 22 |
+
task_id: str = ''
|
| 23 |
+
message: str = ''
|
| 24 |
+
files: dict[str,str] = Field(default_factory=dict)
|
| 25 |
+
steps_left: int = MAX_STEPS
|
| 26 |
+
|
| 27 |
+
class RepairEnvironment(Environment):
|
| 28 |
+
SUPPORTS_CONCURRENT_SESSIONS = True
|
| 29 |
+
|
| 30 |
+
def __init__(self):
|
| 31 |
+
self._state = State(episode_id=str(uuid4()),step_count=0)
|
| 32 |
+
self.task = None
|
| 33 |
+
self.files = {}
|
| 34 |
+
self.ended = False
|
| 35 |
+
self.last_reward = 0.0
|
| 36 |
+
|
| 37 |
+
@property
|
| 38 |
+
def state(self):
|
| 39 |
+
return self._state
|
| 40 |
+
|
| 41 |
+
def reset(self, seed=None, task_id=None, **kwargs):
|
| 42 |
+
seed = 0 if seed is None else seed
|
| 43 |
+
if task_id is None:
|
| 44 |
+
task_id = TASK_IDS[seed % len(TASK_IDS)]
|
| 45 |
+
self.task = make_task(task_id,seed)
|
| 46 |
+
self.files = dict(self.task.starter)
|
| 47 |
+
self.ended = False
|
| 48 |
+
self.last_reward = 0.0
|
| 49 |
+
self._state = State(episode_id=str(uuid4()),step_count=0)
|
| 50 |
+
return RepairObservation(task_id=task_id,message=self.task.prompt+'\nPublic examples: '+json.dumps(self.task.visible),files=dict(self.files),reward=0.0,done=False)
|
| 51 |
+
|
| 52 |
+
def step(self,action,**kwargs):
|
| 53 |
+
if self.task is None:
|
| 54 |
+
self.reset()
|
| 55 |
+
if self.ended:
|
| 56 |
+
return RepairObservation(task_id=self.task.task_id,message='Episode ended.',done=True,reward=self.last_reward,steps_left=0)
|
| 57 |
+
self._state.step_count += 1
|
| 58 |
+
message, files = '', {}
|
| 59 |
+
if action.operation == 'read':
|
| 60 |
+
if action.path in self.files:
|
| 61 |
+
files[action.path] = self.files[action.path]
|
| 62 |
+
message = 'File contents.'
|
| 63 |
+
else:
|
| 64 |
+
message = 'Unknown file.'
|
| 65 |
+
elif action.operation == 'write':
|
| 66 |
+
if action.path not in self.files or action.path=='settings.py':
|
| 67 |
+
message = 'Unknown or read-only file. Source unchanged.'
|
| 68 |
+
else:
|
| 69 |
+
candidate = dict(self.files, **{action.path:action.code})
|
| 70 |
+
try:
|
| 71 |
+
validate(candidate)
|
| 72 |
+
self.files = candidate
|
| 73 |
+
message = 'Module replaced. Use test or submit.'
|
| 74 |
+
except (SyntaxError,ValueError,RecursionError) as error:
|
| 75 |
+
message = 'Rejected; source unchanged: '+str(error)[:180]
|
| 76 |
+
elif action.operation == 'test':
|
| 77 |
+
message = json.dumps(grade(self.files,self.task.visible,feedback=True))
|
| 78 |
+
self.ended = action.operation=='submit' or self._state.step_count>=MAX_STEPS
|
| 79 |
+
if self.ended:
|
| 80 |
+
result = grade(self.files,self.task.hidden)
|
| 81 |
+
self.last_reward = result['reward']
|
| 82 |
+
message = json.dumps(result)
|
| 83 |
+
return RepairObservation(task_id=self.task.task_id,message=message,files=files,done=self.ended,reward=self.last_reward if self.ended else 0.0,steps_left=max(0,MAX_STEPS-self._state.step_count))
|
| 84 |
+
|
| 85 |
+
app = create_app(RepairEnvironment,RepairAction,RepairObservation,env_name='python_repair_lab_v3',max_concurrent_envs=5)
|
components/loui/upstream/v3/tasks.jsonl
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"task_id": "ledger-1", "family": "ledger", "defect_count": 1, "example_seed": 0, "prompt": "solve(events): FIFO accounting in input order. Each event has account, asset, side (buy/sell), qty (positive integer), price (integer cents). Separate lots by (account,asset). Sell only available units, do not create shorts. Deduct FEE cents per filled sold unit. Return pnl, unfilled (total requested units lacking stock), and sorted nonempty positions [account,asset,qty,cost_basis]. Do not mutate input.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"identity.py": "def key(e):\n return (e['account'], e['asset'])\n", "lots.py": "def consume(queue, qty):\n used = min(qty, sum(n for n, p in queue))\n remaining, cost = used, 0\n while remaining:\n n, p = queue[0]\n take = min(n, remaining)\n cost += take * p\n remaining -= take\n if take == n:\n queue.pop(0)\n else:\n queue[0] = (n - take, p)\n return used, cost\n", "charges.py": "from settings import FEE\ndef profit(qty, price, cost):\n return qty * price - FEE - cost\n", "main.py": "from identity import key\nfrom lots import consume\nfrom charges import profit\ndef solve(events):\n lots, pnl, unfilled = {}, 0, 0\n for e in events:\n k = key(e)\n q = lots.setdefault(k, [])\n if e['side'] == 'buy':\n q.append((e['qty'], e['price']))\n else:\n used, cost = consume(q, e['qty'])\n pnl += profit(used, e['price'], cost)\n unfilled += e['qty'] - used\n return {'pnl': pnl, 'unfilled': unfilled, 'positions': [[a, s, sum(n for n, p in q), sum(n*p for n,p in q)] for (a,s),q in sorted(lots.items()) if q]}\n", "settings.py": "FEE = 1\nLIMIT = 7\nWINDOW = 20\nTHRESHOLD = 3\nCALIBRATIONS = {'s0': [1, 0], 's1': [4, 1], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"pnl": 0, "unfilled": 0, "positions": []}}, {"group": "identity", "args": [[{"account": "a", "asset": "x", "side": "buy", "qty": 3, "price": 100}, {"account": "b", "asset": "x", "side": "sell", "qty": 2, "price": 150}]], "expected": {"pnl": 0, "unfilled": 2, "positions": [["a", "x", 3, 300]]}}, {"group": "random", "args": [[{"account": "a", "asset": "x", "side": "sell", "qty": 6, "price": 231}, {"account": "b", "asset": "z", "side": "buy", "qty": 5, "price": 186}, {"account": "b", "asset": "x", "side": "buy", "qty": 4, "price": 84}, {"account": "c", "asset": "z", "side": "buy", "qty": 4, "price": 232}, {"account": "b", "asset": "x", "side": "buy", "qty": 2, "price": 82}, {"account": "a", "asset": "x", "side": "sell", "qty": 5, "price": 171}, {"account": "c", "asset": "y", "side": "sell", "qty": 3, "price": 145}, {"account": "c", "asset": "x", "side": "sell", "qty": 2, "price": 196}, {"account": "b", "asset": "x", "side": "sell", "qty": 6, "price": 193}, {"account": "a", "asset": "z", "side": "sell", "qty": 5, "price": 146}, {"account": "a", "asset": "z", "side": "sell", "qty": 2, "price": 59}]], "expected": {"pnl": 652, "unfilled": 23, "positions": [["b", "z", 5, 930], ["c", "z", 4, 928]]}}], "selected_for_submission": false}
|
| 2 |
+
{"task_id": "ledger-2", "family": "ledger", "defect_count": 2, "example_seed": 0, "prompt": "solve(events): FIFO accounting in input order. Each event has account, asset, side (buy/sell), qty (positive integer), price (integer cents). Separate lots by (account,asset). Sell only available units, do not create shorts. Deduct FEE cents per filled sold unit. Return pnl, unfilled (total requested units lacking stock), and sorted nonempty positions [account,asset,qty,cost_basis]. Do not mutate input.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"identity.py": "def key(e):\n return (e['asset'], e['asset'])\n", "lots.py": "def consume(queue, qty):\n used = min(qty, sum(n for n, p in queue))\n remaining, cost = used, 0\n while remaining:\n n, p = queue[0]\n take = min(n, remaining)\n cost += take * p\n remaining -= take\n if take == n:\n queue.pop(0)\n else:\n queue[0] = (n - take, p)\n return used, cost\n", "charges.py": "from settings import FEE\ndef profit(qty, price, cost):\n return qty * price - FEE - cost\n", "main.py": "from identity import key\nfrom lots import consume\nfrom charges import profit\ndef solve(events):\n lots, pnl, unfilled = {}, 0, 0\n for e in events:\n k = key(e)\n q = lots.setdefault(k, [])\n if e['side'] == 'buy':\n q.append((e['qty'], e['price']))\n else:\n used, cost = consume(q, e['qty'])\n pnl += profit(used, e['price'], cost)\n unfilled += e['qty'] - used\n return {'pnl': pnl, 'unfilled': unfilled, 'positions': [[a, s, sum(n for n, p in q), sum(n*p for n,p in q)] for (a,s),q in sorted(lots.items()) if q]}\n", "settings.py": "FEE = 6\nLIMIT = 3\nWINDOW = 14\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 2], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"pnl": 0, "unfilled": 0, "positions": []}}, {"group": "identity", "args": [[{"account": "a", "asset": "x", "side": "buy", "qty": 3, "price": 100}, {"account": "b", "asset": "x", "side": "sell", "qty": 2, "price": 150}]], "expected": {"pnl": 0, "unfilled": 2, "positions": [["a", "x", 3, 300]]}}, {"group": "random", "args": [[{"account": "b", "asset": "x", "side": "sell", "qty": 6, "price": 40}, {"account": "b", "asset": "x", "side": "buy", "qty": 1, "price": 103}, {"account": "a", "asset": "z", "side": "sell", "qty": 1, "price": 78}, {"account": "a", "asset": "z", "side": "buy", "qty": 1, "price": 163}, {"account": "c", "asset": "x", "side": "sell", "qty": 4, "price": 29}, {"account": "b", "asset": "z", "side": "buy", "qty": 2, "price": 181}, {"account": "a", "asset": "x", "side": "buy", "qty": 6, "price": 48}, {"account": "b", "asset": "x", "side": "sell", "qty": 6, "price": 52}, {"account": "b", "asset": "y", "side": "sell", "qty": 1, "price": 98}, {"account": "c", "asset": "z", "side": "buy", "qty": 3, "price": 29}, {"account": "b", "asset": "y", "side": "buy", "qty": 6, "price": 64}, {"account": "b", "asset": "x", "side": "buy", "qty": 2, "price": 207}, {"account": "b", "asset": "x", "side": "buy", "qty": 3, "price": 216}, {"account": "b", "asset": "x", "side": "sell", "qty": 6, "price": 129}, {"account": "a", "asset": "x", "side": "sell", "qty": 1, "price": 167}, {"account": "b", "asset": "z", "side": "buy", "qty": 3, "price": 167}, {"account": "b", "asset": "z", "side": "sell", "qty": 5, "price": 126}, {"account": "c", "asset": "z", "side": "buy", "qty": 3, "price": 85}, {"account": "b", "asset": "x", "side": "buy", "qty": 3, "price": 73}, {"account": "a", "asset": "z", "side": "buy", "qty": 6, "price": 244}, {"account": "a", "asset": "z", "side": "buy", "qty": 6, "price": 78}, {"account": "a", "asset": "z", "side": "buy", "qty": 5, "price": 26}]], "expected": {"pnl": -654, "unfilled": 18, "positions": [["a", "x", 5, 240], ["a", "z", 18, 2225], ["b", "x", 3, 219], ["b", "y", 6, 384], ["c", "z", 6, 342]]}}], "selected_for_submission": false}
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{"task_id": "ledger-3", "family": "ledger", "defect_count": 3, "example_seed": 0, "prompt": "solve(events): FIFO accounting in input order. Each event has account, asset, side (buy/sell), qty (positive integer), price (integer cents). Separate lots by (account,asset). Sell only available units, do not create shorts. Deduct FEE cents per filled sold unit. Return pnl, unfilled (total requested units lacking stock), and sorted nonempty positions [account,asset,qty,cost_basis]. Do not mutate input.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"identity.py": "def key(e):\n return (e['asset'], e['asset'])\n", "lots.py": "def consume(queue, qty):\n used = min(qty, sum(n for n, p in queue))\n remaining, cost = used, 0\n while remaining:\n n, p = queue[-1]\n take = min(n, remaining)\n cost += take * p\n remaining -= take\n if take == n:\n queue.pop(0)\n else:\n queue[-1] = (n - take, p)\n return used, cost\n", "charges.py": "from settings import FEE\ndef profit(qty, price, cost):\n return qty * price - FEE - cost\n", "main.py": "from identity import key\nfrom lots import consume\nfrom charges import profit\ndef solve(events):\n lots, pnl, unfilled = {}, 0, 0\n for e in events:\n k = key(e)\n q = lots.setdefault(k, [])\n if e['side'] == 'buy':\n q.append((e['qty'], e['price']))\n else:\n used, cost = consume(q, e['qty'])\n pnl += profit(used, e['price'], cost)\n unfilled += e['qty'] - used\n return {'pnl': pnl, 'unfilled': unfilled, 'positions': [[a, s, sum(n for n, p in q), sum(n*p for n,p in q)] for (a,s),q in sorted(lots.items()) if q]}\n", "settings.py": "FEE = 4\nLIMIT = 8\nWINDOW = 5\nTHRESHOLD = 4\nCALIBRATIONS = {'s0': [1, 0], 's1': [3, 1], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"pnl": 0, "unfilled": 0, "positions": []}}, {"group": "identity", "args": [[{"account": "a", "asset": "x", "side": "buy", "qty": 3, "price": 100}, {"account": "b", "asset": "x", "side": "sell", "qty": 2, "price": 150}]], "expected": {"pnl": 0, "unfilled": 2, "positions": [["a", "x", 3, 300]]}}, {"group": "random", "args": [[{"account": "b", "asset": "y", "side": "buy", "qty": 2, "price": 118}, {"account": "c", "asset": "z", "side": "buy", "qty": 2, "price": 212}, {"account": "b", "asset": "x", "side": "sell", "qty": 3, "price": 165}, {"account": "b", "asset": "x", "side": "buy", "qty": 5, "price": 158}, {"account": "b", "asset": "y", "side": "sell", "qty": 1, "price": 92}, {"account": "a", "asset": "x", "side": "buy", "qty": 3, "price": 187}]], "expected": {"pnl": -30, "unfilled": 3, "positions": [["a", "x", 3, 561], ["b", "x", 5, 790], ["b", "y", 1, 118], ["c", "z", 2, 424]]}}], "selected_for_submission": false}
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{"task_id": "capacity-1", "family": "capacity", "defect_count": 1, "example_seed": 0, "prompt": "solve(bookings): each [start,end,weight] is a half-open integer-time weighted reservation. Ignore zero-length and nonpositive-weight entries. Return peak load, merged maximal overload intervals where load > LIMIT, and integral of max(load-LIMIT,0) over time as excess_area. Touching overload intervals must merge. Input unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"events.py": "def endpoints(bookings):\n delta = {}\n for a,b,w in bookings:\n if a < b and w > 0:\n delta[a] = delta.get(a, 0) + w\n delta[b] = delta.get(b, 0) - w\n return sorted(delta.items())\n", "rules.py": "from settings import LIMIT\ndef overloaded(load):\n return load > LIMIT\ndef excess(load):\n return max(0, load - LIMIT)\n", "merge.py": "def append_span(spans, a, b):\n if spans and spans[-1][1] > a:\n spans[-1][1] = b\n else:\n spans.append([a,b])\n", "main.py": "from events import endpoints\nfrom rules import overloaded, excess\nfrom merge import append_span\ndef solve(bookings):\n points = endpoints(bookings)\n load, peak, area, spans = 0, 0, 0, []\n for i in range(len(points)-1):\n a,delta = points[i]\n b = points[i+1][0]\n load += delta\n peak = max(peak, load)\n area += excess(load) * (b-a)\n if overloaded(load):\n append_span(spans, a, b)\n return {'peak': peak, 'overload': spans, 'excess_area': area}\n", "settings.py": "FEE = 4\nLIMIT = 6\nWINDOW = 5\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 3], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"peak": 0, "overload": [], "excess_area": 0}}, {"group": "half_open", "args": [[[0, 4, 6], [4, 7, 6]]], "expected": {"peak": 6, "overload": [], "excess_area": 0}}, {"group": "random", "args": [[[10, 19, 2], [12, 12, 6], [0, 7, 7], [12, 22, 7], [-2, 7, 6], [12, 13, 9], [10, 17, 2], [12, 13, 2], [10, 19, 0], [0, 1, 2], [-1, 9, 4], [7, 13, 8], [-2, 3, 7]]], "expected": {"peak": 30, "overload": [[-2, 22]], "excess_area": 197}}], "selected_for_submission": false}
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{"task_id": "capacity-2", "family": "capacity", "defect_count": 2, "example_seed": 0, "prompt": "solve(bookings): each [start,end,weight] is a half-open integer-time weighted reservation. Ignore zero-length and nonpositive-weight entries. Return peak load, merged maximal overload intervals where load > LIMIT, and integral of max(load-LIMIT,0) over time as excess_area. Touching overload intervals must merge. Input unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"events.py": "def endpoints(bookings):\n delta = {}\n for a,b,w in bookings:\n if a < b and w > 0:\n delta[a] = delta.get(a, 0) + w\n delta[b] = delta.get(b, 0) - w\n return sorted(delta.items())\n", "rules.py": "from settings import LIMIT\ndef overloaded(load):\n return load >= LIMIT\ndef excess(load):\n return max(0, load - LIMIT)\n", "merge.py": "def append_span(spans, a, b):\n if spans and spans[-1][1] > a:\n spans[-1][1] = b\n else:\n spans.append([a,b])\n", "main.py": "from events import endpoints\nfrom rules import overloaded, excess\nfrom merge import append_span\ndef solve(bookings):\n points = endpoints(bookings)\n load, peak, area, spans = 0, 0, 0, []\n for i in range(len(points)-1):\n a,delta = points[i]\n b = points[i+1][0]\n load += delta\n peak = max(peak, load)\n area += excess(load) * (b-a)\n if overloaded(load):\n append_span(spans, a, b)\n return {'peak': peak, 'overload': spans, 'excess_area': area}\n", "settings.py": "FEE = 6\nLIMIT = 2\nWINDOW = 14\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 5], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"peak": 0, "overload": [], "excess_area": 0}}, {"group": "half_open", "args": [[[0, 4, 2], [4, 7, 2]]], "expected": {"peak": 2, "overload": [], "excess_area": 0}}, {"group": "random", "args": [[[14, 16, 4], [-4, -2, 4], [9, 9, 6], [10, 14, -1], [11, 17, 5], [-4, -2, 4], [9, 11, 5], [15, 25, 0], [7, 16, 1], [6, 7, 3], [9, 13, 3], [5, 11, 2], [8, 11, 4]]], "expected": {"peak": 15, "overload": [[-4, -2], [6, 17]], "excess_area": 84}}], "selected_for_submission": false}
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{"task_id": "capacity-3", "family": "capacity", "defect_count": 3, "example_seed": 0, "prompt": "solve(bookings): each [start,end,weight] is a half-open integer-time weighted reservation. Ignore zero-length and nonpositive-weight entries. Return peak load, merged maximal overload intervals where load > LIMIT, and integral of max(load-LIMIT,0) over time as excess_area. Touching overload intervals must merge. Input unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"events.py": "def endpoints(bookings):\n delta = {}\n for a,b,w in bookings:\n if a < b and w > 0:\n delta[a] = delta.get(a, 0) + w\n delta[b] = delta.get(b, 0) + w\n return sorted(delta.items())\n", "rules.py": "from settings import LIMIT\ndef overloaded(load):\n return load >= LIMIT\ndef excess(load):\n return max(0, load - LIMIT)\n", "merge.py": "def append_span(spans, a, b):\n if spans and spans[-1][1] > a:\n spans[-1][1] = b\n else:\n spans.append([a,b])\n", "main.py": "from events import endpoints\nfrom rules import overloaded, excess\nfrom merge import append_span\ndef solve(bookings):\n points = endpoints(bookings)\n load, peak, area, spans = 0, 0, 0, []\n for i in range(len(points)-1):\n a,delta = points[i]\n b = points[i+1][0]\n load += delta\n peak = max(peak, load)\n area += excess(load) * (b-a)\n if overloaded(load):\n append_span(spans, a, b)\n return {'peak': peak, 'overload': spans, 'excess_area': area}\n", "settings.py": "FEE = 7\nLIMIT = 6\nWINDOW = 18\nTHRESHOLD = 4\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 1], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"peak": 0, "overload": [], "excess_area": 0}}, {"group": "half_open", "args": [[[0, 4, 6], [4, 7, 6]]], "expected": {"peak": 6, "overload": [], "excess_area": 0}}, {"group": "random", "args": [[[4, 5, 7], [6, 16, 4], [8, 13, 4], [5, 8, 9], [6, 9, 10]]], "expected": {"peak": 23, "overload": [[4, 13]], "excess_area": 58}}], "selected_for_submission": false}
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| 7 |
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{"task_id": "workflow-1", "family": "workflow", "defect_count": 1, "example_seed": 0, "prompt": "solve(jobs): jobs have unique id, duration>=0, release>=0, deadline, deps (job IDs). Unlimited parallel workers. Start each job at max(release, predecessor finish times), then add duration. Return status=ok, sorted finish pairs and IDs with finish strictly greater than deadline as late. Missing dependencies or any cycle make the whole graph invalid: status=invalid, finish=[], late=[]. Jobs are arbitrarily ordered; do not mutate them.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"graph.py": "def ready(job, pending, finished):\n return all(d not in pending for d in job['deps'])\n", "timing.py": "def end_time(job, finished):\n return max([job['release']] + [finished[d] for d in job['deps']]) + job['duration']\n", "report.py": "def report(jobs, finished):\n return {'status': 'ok', 'finish': [[n,finished[n]] for n in sorted(finished)], 'late': sorted(j['id'] for j in jobs if finished[j['id']] > j['deadline'])}\n", "main.py": "from graph import ready\nfrom timing import end_time\nfrom report import report\ndef solve(jobs):\n pending = {j['id']:j for j in jobs}\n finished = {}\n while pending:\n progress = False\n for name,job in list(pending.items()):\n if ready(job, pending, finished):\n finished[name] = end_time(job, finished)\n del pending[name]\n progress = True\n if not progress:\n return {'status':'invalid','finish':[],'late':[]}\n return report(jobs, finished)\n", "settings.py": "FEE = 7\nLIMIT = 5\nWINDOW = 14\nTHRESHOLD = 3\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 5], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"status": "ok", "finish": [], "late": []}}, {"group": "missing", "args": [[{"id": "a", "deps": ["absent"], "duration": 2, "release": 0, "deadline": 10}]], "expected": {"status": "invalid", "finish": [], "late": []}}, {"group": "random", "args": [[{"id": "n3", "deps": [], "duration": 6, "release": 8, "deadline": 13}, {"id": "n2", "deps": ["n1"], "duration": 4, "release": 3, "deadline": 20}, {"id": "n5", "deps": ["n0", "n2"], "duration": 4, "release": 4, "deadline": 19}, {"id": "n0", "deps": [], "duration": 2, "release": 0, "deadline": 20}, {"id": "n6", "deps": ["n5"], "duration": 6, "release": 5, "deadline": 2}, {"id": "n1", "deps": [], "duration": 5, "release": 9, "deadline": 17}, {"id": "n4", "deps": ["n2"], "duration": 4, "release": 5, "deadline": 20}]], "expected": {"status": "ok", "finish": [["n0", 2], ["n1", 14], ["n2", 18], ["n3", 14], ["n4", 22], ["n5", 22], ["n6", 28]], "late": ["n3", "n4", "n5", "n6"]}}], "selected_for_submission": true}
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{"task_id": "workflow-2", "family": "workflow", "defect_count": 2, "example_seed": 0, "prompt": "solve(jobs): jobs have unique id, duration>=0, release>=0, deadline, deps (job IDs). Unlimited parallel workers. Start each job at max(release, predecessor finish times), then add duration. Return status=ok, sorted finish pairs and IDs with finish strictly greater than deadline as late. Missing dependencies or any cycle make the whole graph invalid: status=invalid, finish=[], late=[]. Jobs are arbitrarily ordered; do not mutate them.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"graph.py": "def ready(job, pending, finished):\n return all(d in finished for d in job['deps'])\n", "timing.py": "def end_time(job, finished):\n return job['release'] + sum(finished[d] for d in job['deps']) + job['duration']\n", "report.py": "def report(jobs, finished):\n return {'status': 'ok', 'finish': [[n,finished[n]] for n in sorted(finished)], 'late': sorted(j['id'] for j in jobs if finished[j['id']] >= j['deadline'])}\n", "main.py": "from graph import ready\nfrom timing import end_time\nfrom report import report\ndef solve(jobs):\n pending = {j['id']:j for j in jobs}\n finished = {}\n while pending:\n progress = False\n for name,job in list(pending.items()):\n if ready(job, pending, finished):\n finished[name] = end_time(job, finished)\n del pending[name]\n progress = True\n if not progress:\n return {'status':'invalid','finish':[],'late':[]}\n return report(jobs, finished)\n", "settings.py": "FEE = 4\nLIMIT = 3\nWINDOW = 9\nTHRESHOLD = 4\nCALIBRATIONS = {'s0': [1, 0], 's1': [4, 5], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"status": "ok", "finish": [], "late": []}}, {"group": "missing", "args": [[{"id": "a", "deps": ["absent"], "duration": 2, "release": 0, "deadline": 10}]], "expected": {"status": "invalid", "finish": [], "late": []}}, {"group": "random", "args": [[{"id": "n1", "deps": [], "duration": 3, "release": 1, "deadline": 22}, {"id": "n3", "deps": ["n0"], "duration": 6, "release": 6, "deadline": 11}, {"id": "n6", "deps": ["n0", "n4"], "duration": 0, "release": 7, "deadline": 11}, {"id": "n4", "deps": ["n0", "n1"], "duration": 5, "release": 7, "deadline": 23}, {"id": "n2", "deps": ["n0", "n1"], "duration": 3, "release": 1, "deadline": 25}, {"id": "n0", "deps": [], "duration": 3, "release": 7, "deadline": 9}, {"id": "n5", "deps": ["n0", "n1", "n4"], "duration": 2, "release": 0, "deadline": 5}]], "expected": {"status": "ok", "finish": [["n0", 10], ["n1", 4], ["n2", 13], ["n3", 16], ["n4", 15], ["n5", 17], ["n6", 15]], "late": ["n0", "n3", "n5", "n6"]}}], "selected_for_submission": true}
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| 9 |
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{"task_id": "workflow-3", "family": "workflow", "defect_count": 3, "example_seed": 0, "prompt": "solve(jobs): jobs have unique id, duration>=0, release>=0, deadline, deps (job IDs). Unlimited parallel workers. Start each job at max(release, predecessor finish times), then add duration. Return status=ok, sorted finish pairs and IDs with finish strictly greater than deadline as late. Missing dependencies or any cycle make the whole graph invalid: status=invalid, finish=[], late=[]. Jobs are arbitrarily ordered; do not mutate them.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"graph.py": "def ready(job, pending, finished):\n return all(d not in pending for d in job['deps'])\n", "timing.py": "def end_time(job, finished):\n return job['release'] + sum(finished[d] for d in job['deps']) + job['duration']\n", "report.py": "def report(jobs, finished):\n return {'status': 'ok', 'finish': [[n,finished[n]] for n in sorted(finished)], 'late': sorted(j['id'] for j in jobs if finished[j['id']] >= j['deadline'])}\n", "main.py": "from graph import ready\nfrom timing import end_time\nfrom report import report\ndef solve(jobs):\n pending = {j['id']:j for j in jobs}\n finished = {}\n while pending:\n progress = False\n for name,job in list(pending.items()):\n if ready(job, pending, finished):\n finished[name] = end_time(job, finished)\n del pending[name]\n progress = True\n if not progress:\n return {'status':'invalid','finish':[],'late':[]}\n return report(jobs, finished)\n", "settings.py": "FEE = 7\nLIMIT = 2\nWINDOW = 13\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 4], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": {"status": "ok", "finish": [], "late": []}}, {"group": "missing", "args": [[{"id": "a", "deps": ["absent"], "duration": 2, "release": 0, "deadline": 10}]], "expected": {"status": "invalid", "finish": [], "late": []}}, {"group": "random", "args": [[{"id": "n3", "deps": ["n1", "n2"], "duration": 6, "release": 4, "deadline": 18}, {"id": "n4", "deps": ["n1"], "duration": 4, "release": 8, "deadline": 18}, {"id": "n0", "deps": [], "duration": 3, "release": 3, "deadline": 11}, {"id": "n5", "deps": ["n0", "n1", "n4"], "duration": 0, "release": 9, "deadline": 16}, {"id": "n1", "deps": [], "duration": 1, "release": 3, "deadline": 17}, {"id": "n2", "deps": [], "duration": 4, "release": 6, "deadline": 20}]], "expected": {"status": "ok", "finish": [["n0", 6], ["n1", 4], ["n2", 10], ["n3", 16], ["n4", 12], ["n5", 12]], "late": []}}], "selected_for_submission": true}
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| 10 |
+
{"task_id": "incident-1", "family": "incident", "defect_count": 1, "example_seed": 0, "prompt": "solve(events): process events by (time, original index), preserving ties. Global event id deduplication keeps the first in that sorted order. Group failures by (user,ip). At each failure retain times in inclusive [time-WINDOW,time]. Alert [user,ip,time] only on a crossing from fewer than THRESHOLD failures to at least THRESHOLD. A success clears that pair only. Return alerts in processing order, without mutating events.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"order.py": "def ordered(events):\n return sorted(enumerate(events), key=lambda x: (x[1]['time'], x[0]))\n", "window.py": "from settings import WINDOW\ndef trim(times, now):\n return [t for t in times if t > now - WINDOW]\n", "resetter.py": "def reset(history, key):\n history.pop(key, None)\n", "main.py": "from settings import THRESHOLD\nfrom order import ordered\nfrom window import trim\nfrom resetter import reset\ndef solve(events):\n history, seen, alerts = {}, set(), []\n for idx,e in ordered(events):\n if e['id'] in seen:\n continue\n seen.add(e['id'])\n k = (e['user'],e['ip'])\n if e['outcome'] == 'success':\n reset(history,k)\n else:\n prior = trim(history.get(k,[]),e['time'])\n history[k] = prior + [e['time']]\n if len(prior) < THRESHOLD <= len(prior)+1:\n alerts.append([e['user'],e['ip'],e['time']])\n return alerts\n", "settings.py": "FEE = 5\nLIMIT = 4\nWINDOW = 9\nTHRESHOLD = 3\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 1], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": []}, {"group": "boundary", "args": [[{"id": "0", "time": 0, "user": "u", "ip": "ip", "outcome": "failure"}, {"id": "1", "time": 9, "user": "u", "ip": "ip", "outcome": "failure"}, {"id": "2", "time": 9, "user": "u", "ip": "ip", "outcome": "failure"}]], "expected": [["u", "ip", 9]]}, {"group": "random", "args": [[{"id": "25", "time": 4, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "9", "time": 14, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "44", "time": 25, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "16", "time": 27, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "35", "time": 0, "user": "a", "ip": "ip2", "outcome": "success"}, {"id": "34", "time": 7, "user": "a", "ip": "ip2", "outcome": "success"}, {"id": "6", "time": 22, "user": "b", "ip": "ip2", "outcome": "success"}, {"id": "43", "time": 24, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "0", "time": 25, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "29", "time": 20, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "32", "time": 18, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "0", "time": 25, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "20", "time": 15, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "42", "time": 27, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "37", "time": 17, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "28", "time": 17, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "5", "time": 2, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "13", "time": 24, "user": "b", "ip": "ip1", "outcome": "success"}, {"id": "41", "time": 24, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "1", "time": 12, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "19", "time": 2, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "3", "time": 12, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "22", "time": 10, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "3", "time": 12, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "30", "time": 8, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "36", "time": 20, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "15", "time": 14, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "27", "time": 17, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "2", "time": 9, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "31", "time": 0, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "4", "time": 0, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "17", "time": 13, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "40", "time": 9, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "39", "time": 7, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "11", "time": 25, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "24", "time": 22, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "7", "time": 17, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "38", "time": 11, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "21", "time": 2, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "8", "time": 19, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "26", "time": 23, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "12", "time": 26, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "1", "time": 12, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "23", "time": 8, "user": "b", "ip": "ip2", "outcome": "success"}, {"id": "10", "time": 0, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "14", "time": 27, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "18", "time": 13, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "4", "time": 0, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "2", "time": 9, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "33", "time": 18, "user": "a", "ip": "ip1", "outcome": "failure"}]], "expected": [["b", "ip2", 2], ["a", "ip2", 11], ["b", "ip1", 13], ["a", "ip1", 17], ["b", "ip1", 18], ["b", "ip2", 25], ["a", "ip1", 27]]}], "selected_for_submission": true}
|
| 11 |
+
{"task_id": "incident-2", "family": "incident", "defect_count": 2, "example_seed": 0, "prompt": "solve(events): process events by (time, original index), preserving ties. Global event id deduplication keeps the first in that sorted order. Group failures by (user,ip). At each failure retain times in inclusive [time-WINDOW,time]. Alert [user,ip,time] only on a crossing from fewer than THRESHOLD failures to at least THRESHOLD. A success clears that pair only. Return alerts in processing order, without mutating events.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"order.py": "def ordered(events):\n return sorted(enumerate(events), key=lambda x: (x[1]['time'], -x[0]))\n", "window.py": "from settings import WINDOW\ndef trim(times, now):\n return [t for t in times if t >= now - WINDOW]\n", "resetter.py": "def reset(history, key):\n history.clear()\n", "main.py": "from settings import THRESHOLD\nfrom order import ordered\nfrom window import trim\nfrom resetter import reset\ndef solve(events):\n history, seen, alerts = {}, set(), []\n for idx,e in ordered(events):\n if e['id'] in seen:\n continue\n seen.add(e['id'])\n k = (e['user'],e['ip'])\n if e['outcome'] == 'success':\n reset(history,k)\n else:\n prior = trim(history.get(k,[]),e['time'])\n history[k] = prior + [e['time']]\n if len(prior) < THRESHOLD <= len(prior)+1:\n alerts.append([e['user'],e['ip'],e['time']])\n return alerts\n", "settings.py": "FEE = 5\nLIMIT = 2\nWINDOW = 10\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 3], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": []}, {"group": "boundary", "args": [[{"id": "0", "time": 0, "user": "u", "ip": "ip", "outcome": "failure"}, {"id": "1", "time": 10, "user": "u", "ip": "ip", "outcome": "failure"}]], "expected": [["u", "ip", 10]]}, {"group": "random", "args": [[{"id": "17", "time": 29, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "31", "time": 11, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "11", "time": 21, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "1", "time": 3, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "24", "time": 7, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "0", "time": 21, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "2", "time": 14, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "43", "time": 18, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "40", "time": 1, "user": "b", "ip": "ip2", "outcome": "success"}, {"id": "32", "time": 26, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "20", "time": 27, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "10", "time": 27, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "4", "time": 0, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "16", "time": 22, "user": "a", "ip": "ip2", "outcome": "success"}, {"id": "25", "time": 13, "user": "b", "ip": "ip1", "outcome": "success"}, {"id": "15", "time": 24, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "19", "time": 18, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "4", "time": 0, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "3", "time": 22, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "38", "time": 30, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "7", "time": 25, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "37", "time": 1, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "33", "time": 15, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "23", "time": 12, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "13", "time": 16, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "29", "time": 19, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "8", "time": 11, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "6", "time": 9, "user": "b", "ip": "ip2", "outcome": "success"}, {"id": "12", "time": 22, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "2", "time": 14, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "39", "time": 22, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "3", "time": 22, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "35", "time": 4, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "42", "time": 0, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "18", "time": 7, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "5", "time": 10, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "1", "time": 3, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "36", "time": 17, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "34", "time": 18, "user": "b", "ip": "ip1", "outcome": "success"}, {"id": "27", "time": 14, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "14", "time": 26, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "41", "time": 29, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "26", "time": 23, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "30", "time": 12, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "28", "time": 21, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "9", "time": 26, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "0", "time": 21, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "44", "time": 18, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "22", "time": 21, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "21", "time": 23, "user": "a", "ip": "ip2", "outcome": "failure"}]], "expected": [["b", "ip1", 0], ["b", "ip2", 4], ["a", "ip1", 7], ["b", "ip1", 12], ["b", "ip2", 12], ["a", "ip2", 17], ["b", "ip1", 18], ["a", "ip1", 21], ["a", "ip2", 22], ["b", "ip1", 29]]}], "selected_for_submission": true}
|
| 12 |
+
{"task_id": "incident-3", "family": "incident", "defect_count": 3, "example_seed": 0, "prompt": "solve(events): process events by (time, original index), preserving ties. Global event id deduplication keeps the first in that sorted order. Group failures by (user,ip). At each failure retain times in inclusive [time-WINDOW,time]. Alert [user,ip,time] only on a crossing from fewer than THRESHOLD failures to at least THRESHOLD. A success clears that pair only. Return alerts in processing order, without mutating events.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"order.py": "def ordered(events):\n return sorted(enumerate(events), key=lambda x: (x[1]['time'], -x[0]))\n", "window.py": "from settings import WINDOW\ndef trim(times, now):\n return [t for t in times if t > now - WINDOW]\n", "resetter.py": "def reset(history, key):\n history.clear()\n", "main.py": "from settings import THRESHOLD\nfrom order import ordered\nfrom window import trim\nfrom resetter import reset\ndef solve(events):\n history, seen, alerts = {}, set(), []\n for idx,e in ordered(events):\n if e['id'] in seen:\n continue\n seen.add(e['id'])\n k = (e['user'],e['ip'])\n if e['outcome'] == 'success':\n reset(history,k)\n else:\n prior = trim(history.get(k,[]),e['time'])\n history[k] = prior + [e['time']]\n if len(prior) < THRESHOLD <= len(prior)+1:\n alerts.append([e['user'],e['ip'],e['time']])\n return alerts\n", "settings.py": "FEE = 7\nLIMIT = 8\nWINDOW = 20\nTHRESHOLD = 3\nCALIBRATIONS = {'s0': [1, 0], 's1': [3, 4], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": []}, {"group": "boundary", "args": [[{"id": "0", "time": 0, "user": "u", "ip": "ip", "outcome": "failure"}, {"id": "1", "time": 20, "user": "u", "ip": "ip", "outcome": "failure"}, {"id": "2", "time": 20, "user": "u", "ip": "ip", "outcome": "failure"}]], "expected": [["u", "ip", 20]]}, {"group": "random", "args": [[{"id": "18", "time": 38, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "23", "time": 13, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "38", "time": 41, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "8", "time": 60, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "34", "time": 6, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "1", "time": 23, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "21", "time": 1, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "5", "time": 54, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "0", "time": 7, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "3", "time": 32, "user": "b", "ip": "ip1", "outcome": "success"}, {"id": "43", "time": 42, "user": "b", "ip": "ip2", "outcome": "success"}, {"id": "10", "time": 7, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "2", "time": 58, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "16", "time": 50, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "28", "time": 34, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "42", "time": 23, "user": "b", "ip": "ip2", "outcome": "success"}, {"id": "11", "time": 19, "user": "a", "ip": "ip1", "outcome": "success"}, {"id": "40", "time": 49, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "20", "time": 4, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "1", "time": 23, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "4", "time": 49, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "17", "time": 53, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "22", "time": 27, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "31", "time": 31, "user": "a", "ip": "ip1", "outcome": "success"}, {"id": "36", "time": 47, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "0", "time": 7, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "13", "time": 13, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "39", "time": 12, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "2", "time": 58, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "7", "time": 46, "user": "a", "ip": "ip1", "outcome": "success"}, {"id": "19", "time": 16, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "37", "time": 58, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "6", "time": 30, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "12", "time": 30, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "44", "time": 9, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "27", "time": 45, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "3", "time": 32, "user": "b", "ip": "ip1", "outcome": "success"}, {"id": "26", "time": 8, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "32", "time": 29, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "33", "time": 0, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "29", "time": 31, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "30", "time": 15, "user": "b", "ip": "ip1", "outcome": "success"}, {"id": "14", "time": 57, "user": "a", "ip": "ip2", "outcome": "failure"}, {"id": "35", "time": 36, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "4", "time": 49, "user": "a", "ip": "ip1", "outcome": "failure"}, {"id": "9", "time": 2, "user": "b", "ip": "ip2", "outcome": "failure"}, {"id": "24", "time": 23, "user": "b", "ip": "ip1", "outcome": "failure"}, {"id": "15", "time": 34, "user": "b", "ip": "ip2", "outcome": "success"}, {"id": "25", "time": 21, "user": "a", "ip": "ip2", "outcome": "success"}, {"id": "41", "time": 32, "user": "a", "ip": "ip2", "outcome": "failure"}]], "expected": [["b", "ip1", 4], ["b", "ip2", 13], ["b", "ip2", 23], ["a", "ip2", 45], ["a", "ip1", 50], ["a", "ip2", 57]]}], "selected_for_submission": true}
|
| 13 |
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{"task_id": "sensor-1", "family": "sensor", "defect_count": 1, "example_seed": 0, "prompt": "solve(readings): readings have sensor, time, value (integer), valid (bool). Ignore invalid readings; for duplicate (sensor,time), keep the last valid occurrence in input order. Convert each retained value with CALIBRATIONS[sensor]=[gain,offset] as gain*value+offset BEFORE aggregation. Return sorted [time,median,alarm] rows; even-count median averages the middle two; alarm is median strictly > THRESHOLD. Inputs unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"dedup.py": "def latest(readings):\n kept = {}\n for r in readings:\n if r['valid']:\n kept.setdefault((r['sensor'],r['time']), r)\n return list(kept.values())\n", "convert.py": "from settings import CALIBRATIONS\ndef convert(r):\n gain,offset = CALIBRATIONS[r['sensor']]\n return gain*r['value']+offset\n", "stats.py": "def median(values):\n v = sorted(values)\n n = len(v)\n return v[n//2] if n%2 else (v[n//2-1]+v[n//2])/2\n", "main.py": "from settings import THRESHOLD\nfrom dedup import latest\nfrom convert import convert\nfrom stats import median\ndef solve(readings):\n groups = {}\n for r in latest(readings):\n groups.setdefault(r['time'],[]).append(convert(r))\n return [[t, median(v), median(v)>THRESHOLD] for t,v in sorted(groups.items())]\n", "settings.py": "FEE = 5\nLIMIT = 6\nWINDOW = 8\nTHRESHOLD = 3\nCALIBRATIONS = {'s0': [1, 0], 's1': [4, 5], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": []}, {"group": "dedup", "args": [[{"sensor": "s0", "time": 1, "value": 0, "valid": true}, {"sensor": "s0", "time": 1, "value": 9, "valid": true}, {"sensor": "s0", "time": 1, "value": 100, "valid": false}]], "expected": [[1, 9.0, true]]}, {"group": "random", "args": [[{"sensor": "s2", "time": 5, "value": 9, "valid": true}, {"sensor": "s2", "time": 4, "value": -3, "valid": true}, {"sensor": "s2", "time": 5, "value": -4, "valid": false}, {"sensor": "s2", "time": 5, "value": 2, "valid": false}, {"sensor": "s1", "time": 3, "value": 6, "valid": true}, {"sensor": "s1", "time": 1, "value": 9, "valid": true}, {"sensor": "s0", "time": 0, "value": -7, "valid": true}, {"sensor": "s0", "time": 6, "value": 7, "valid": true}, {"sensor": "s2", "time": 6, "value": -3, "valid": true}, {"sensor": "s0", "time": 4, "value": -9, "valid": false}, {"sensor": "s2", "time": 4, "value": -3, "valid": true}, {"sensor": "s2", "time": 2, "value": -7, "valid": false}, {"sensor": "s2", "time": 4, "value": -10, "valid": true}, {"sensor": "s0", "time": 2, "value": 2, "valid": false}, {"sensor": "s0", "time": 1, "value": 12, "valid": true}, {"sensor": "s1", "time": 6, "value": 6, "valid": false}, {"sensor": "s1", "time": 6, "value": 16, "valid": true}, {"sensor": "s2", "time": 5, "value": 16, "valid": true}, {"sensor": "s2", "time": 1, "value": 17, "valid": true}, {"sensor": "s1", "time": 3, "value": 10, "valid": true}, {"sensor": "s2", "time": 5, "value": -5, "valid": true}, {"sensor": "s2", "time": 0, "value": -7, "valid": true}, {"sensor": "s1", "time": 0, "value": 12, "valid": false}, {"sensor": "s1", "time": 6, "value": 6, "valid": true}, {"sensor": "s2", "time": 2, "value": 15, "valid": true}]], "expected": [[0, 1.5, false], [1, 12.0, true], [2, -12.0, false], [3, 45.0, true], [4, 13.0, true], [5, 8.0, true], [6, 7.0, true]]}], "selected_for_submission": false}
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{"task_id": "sensor-2", "family": "sensor", "defect_count": 2, "example_seed": 0, "prompt": "solve(readings): readings have sensor, time, value (integer), valid (bool). Ignore invalid readings; for duplicate (sensor,time), keep the last valid occurrence in input order. Convert each retained value with CALIBRATIONS[sensor]=[gain,offset] as gain*value+offset BEFORE aggregation. Return sorted [time,median,alarm] rows; even-count median averages the middle two; alarm is median strictly > THRESHOLD. Inputs unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"dedup.py": "def latest(readings):\n kept = {}\n for r in readings:\n if r['valid']:\n kept.setdefault((r['sensor'],r['time']), r)\n return list(kept.values())\n", "convert.py": "from settings import CALIBRATIONS\ndef convert(r):\n gain,offset = CALIBRATIONS[r['sensor']]\n return gain*(r['value']+offset)\n", "stats.py": "def median(values):\n v = sorted(values)\n n = len(v)\n return v[n//2] if n%2 else (v[n//2-1]+v[n//2])/2\n", "main.py": "from settings import THRESHOLD\nfrom dedup import latest\nfrom convert import convert\nfrom stats import median\ndef solve(readings):\n groups = {}\n for r in latest(readings):\n groups.setdefault(r['time'],[]).append(convert(r))\n return [[t, median(v), median(v)>THRESHOLD] for t,v in sorted(groups.items())]\n", "settings.py": "FEE = 7\nLIMIT = 5\nWINDOW = 10\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [3, 4], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": []}, {"group": "dedup", "args": [[{"sensor": "s0", "time": 1, "value": 0, "valid": true}, {"sensor": "s0", "time": 1, "value": 9, "valid": true}, {"sensor": "s0", "time": 1, "value": 100, "valid": false}]], "expected": [[1, 9.0, true]]}, {"group": "random", "args": [[{"sensor": "s0", "time": 5, "value": 3, "valid": true}, {"sensor": "s0", "time": 5, "value": 20, "valid": true}, {"sensor": "s0", "time": 5, "value": 7, "valid": true}, {"sensor": "s0", "time": 5, "value": 17, "valid": false}, {"sensor": "s2", "time": 5, "value": 1, "valid": true}, {"sensor": "s0", "time": 0, "value": 3, "valid": true}, {"sensor": "s2", "time": 1, "value": 20, "valid": true}, {"sensor": "s2", "time": 1, "value": 12, "valid": true}, {"sensor": "s0", "time": 3, "value": 14, "valid": false}, {"sensor": "s1", "time": 3, "value": 19, "valid": false}, {"sensor": "s1", "time": 5, "value": 7, "valid": true}, {"sensor": "s1", "time": 2, "value": 1, "valid": true}, {"sensor": "s0", "time": 2, "value": 17, "valid": true}, {"sensor": "s2", "time": 5, "value": 5, "valid": true}, {"sensor": "s1", "time": 2, "value": -10, "valid": true}, {"sensor": "s2", "time": 5, "value": 9, "valid": false}, {"sensor": "s1", "time": 3, "value": -10, "valid": true}, {"sensor": "s2", "time": 6, "value": 16, "valid": false}, {"sensor": "s0", "time": 2, "value": 11, "valid": true}, {"sensor": "s2", "time": 2, "value": 16, "valid": true}, {"sensor": "s1", "time": 0, "value": -1, "valid": true}, {"sensor": "s1", "time": 6, "value": 14, "valid": false}, {"sensor": "s0", "time": 5, "value": -7, "valid": true}, {"sensor": "s0", "time": 1, "value": 18, "valid": true}, {"sensor": "s0", "time": 0, "value": 12, "valid": true}]], "expected": [[0, 6.5, true], [1, 4.5, true], [2, -13.0, false], [3, -26.0, false], [5, -2.0, false]]}], "selected_for_submission": false}
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{"task_id": "sensor-3", "family": "sensor", "defect_count": 3, "example_seed": 0, "prompt": "solve(readings): readings have sensor, time, value (integer), valid (bool). Ignore invalid readings; for duplicate (sensor,time), keep the last valid occurrence in input order. Convert each retained value with CALIBRATIONS[sensor]=[gain,offset] as gain*value+offset BEFORE aggregation. Return sorted [time,median,alarm] rows; even-count median averages the middle two; alarm is median strictly > THRESHOLD. Inputs unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"dedup.py": "def latest(readings):\n kept = {}\n for r in readings:\n if r['valid']:\n kept.setdefault((r['sensor'],r['time']), r)\n return list(kept.values())\n", "convert.py": "from settings import CALIBRATIONS\ndef convert(r):\n gain,offset = CALIBRATIONS[r['sensor']]\n return gain*(r['value']+offset)\n", "stats.py": "def median(values):\n v = sorted(values)\n n = len(v)\n return v[n//2] if n%2 else v[n//2]\n", "main.py": "from settings import THRESHOLD\nfrom dedup import latest\nfrom convert import convert\nfrom stats import median\ndef solve(readings):\n groups = {}\n for r in latest(readings):\n groups.setdefault(r['time'],[]).append(convert(r))\n return [[t, median(v), median(v)>THRESHOLD] for t,v in sorted(groups.items())]\n", "settings.py": "FEE = 2\nLIMIT = 5\nWINDOW = 12\nTHRESHOLD = 4\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 2], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[]], "expected": []}, {"group": "dedup", "args": [[{"sensor": "s0", "time": 1, "value": 0, "valid": true}, {"sensor": "s0", "time": 1, "value": 9, "valid": true}, {"sensor": "s0", "time": 1, "value": 100, "valid": false}]], "expected": [[1, 9.0, true]]}, {"group": "random", "args": [[{"sensor": "s0", "time": 0, "value": 12, "valid": true}, {"sensor": "s0", "time": 4, "value": 19, "valid": true}, {"sensor": "s1", "time": 6, "value": 7, "valid": true}, {"sensor": "s1", "time": 0, "value": 10, "valid": true}, {"sensor": "s0", "time": 3, "value": -6, "valid": true}, {"sensor": "s0", "time": 6, "value": 12, "valid": true}, {"sensor": "s2", "time": 2, "value": -4, "valid": true}, {"sensor": "s1", "time": 4, "value": 12, "valid": true}, {"sensor": "s0", "time": 3, "value": -1, "valid": true}, {"sensor": "s2", "time": 4, "value": -6, "valid": true}, {"sensor": "s2", "time": 2, "value": 8, "valid": true}, {"sensor": "s2", "time": 0, "value": 15, "valid": true}, {"sensor": "s2", "time": 5, "value": 7, "valid": true}, {"sensor": "s2", "time": 5, "value": 1, "valid": true}, {"sensor": "s0", "time": 0, "value": -2, "valid": true}, {"sensor": "s1", "time": 1, "value": -4, "valid": true}, {"sensor": "s2", "time": 5, "value": 19, "valid": false}, {"sensor": "s1", "time": 1, "value": 5, "valid": true}, {"sensor": "s2", "time": 5, "value": 3, "valid": false}, {"sensor": "s2", "time": 4, "value": 10, "valid": true}, {"sensor": "s0", "time": 0, "value": 12, "valid": true}, {"sensor": "s2", "time": 5, "value": 20, "valid": false}, {"sensor": "s2", "time": 6, "value": 7, "valid": true}, {"sensor": "s0", "time": 5, "value": 7, "valid": true}, {"sensor": "s1", "time": 4, "value": 10, "valid": true}]], "expected": [[0, 12.0, true], [1, 12.0, true], [2, -5.0, false], [3, -1.0, false], [4, 19.0, true], [5, 4.5, true], [6, 12.0, true]]}], "selected_for_submission": false}
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{"task_id": "reconcile-1", "family": "reconcile", "defect_count": 1, "example_seed": 0, "prompt": "solve(left,right): two CSV strings with header key,amount,kind. CSV quoting follows Python csv rules. Normalize keys using strip().casefold(). Amount is a finite decimal string, kind is debit or credit; credits negate the amount. Sum duplicates separately in each file using exact arithmetic. Return sorted [key,delta] for nonzero left-minus-right differences. delta MUST be canonical Fraction string (integer if denominator=1, otherwise numerator/denominator), not decimal or float.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"parse.py": "import csv\nimport io\ndef rows(text):\n return [dict(zip(['key','amount','kind'],line.split(','))) for line in text.splitlines()[1:]]\n", "keys.py": "def key(row):\n return row['key'].strip().casefold()\n", "amounts.py": "from fractions import Fraction\ndef amount(row):\n value = Fraction(row['amount'])\n return -value if row['kind']=='credit' else value\n", "main.py": "from fractions import Fraction\nfrom parse import rows\nfrom keys import key\nfrom amounts import amount\ndef totals(text):\n out = {}\n for row in rows(text):\n k = key(row)\n out[k] = out.get(k,Fraction(0)) + amount(row)\n return out\ndef solve(left,right):\n a,b = totals(left),totals(right)\n return [[k,str(a.get(k,Fraction(0))-b.get(k,Fraction(0)))] for k in sorted(set(a)|set(b)) if a.get(k,Fraction(0))!=b.get(k,Fraction(0))]\n", "settings.py": "FEE = 7\nLIMIT = 3\nWINDOW = 11\nTHRESHOLD = 3\nCALIBRATIONS = {'s0': [1, 0], 's1': [3, 1], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": ["key,amount,kind\r\n", "key,amount,kind\r\n"], "expected": []}, {"group": "quoting", "args": ["key,amount,kind\r\n\"a,b\",1.25,debit\r\n\"a\nline\",2,debit\r\n", "key,amount,kind\r\n"], "expected": [["a\nline", "2"], ["a,b", "5/4"]]}, {"group": "random", "args": ["key,amount,kind\r\nSTRASSE,6.83,debit\r\n\"a\nline\",5.81,debit\r\nALPHA,-4.68,debit\r\n\"a\nline\",0.06,credit\r\n\"a\nline\",-2.95,credit\r\n\"a,b\",-5.21,debit\r\n", "key,amount,kind\r\nStra\u00dfe,-9.89,credit\r\n Alpha ,-0.45,credit\r\n\"a\nline\",-6.68,credit\r\n\"a\nline\",-7.02,debit\r\n Alpha ,0.81,credit\r\n\"\"\"quote\"\"\",8.16,credit\r\n Alpha ,9.65,credit\r\nALPHA,5.93,debit\r\nALPHA,-4.00,credit\r\nStra\u00dfe,-7.02,credit\r\n"], "expected": [["\"quote\"", "204/25"], ["a\nline", "226/25"], ["a,b", "-521/100"], ["alpha", "-23/5"], ["strasse", "-252/25"]]}], "selected_for_submission": false}
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{"task_id": "reconcile-2", "family": "reconcile", "defect_count": 2, "example_seed": 0, "prompt": "solve(left,right): two CSV strings with header key,amount,kind. CSV quoting follows Python csv rules. Normalize keys using strip().casefold(). Amount is a finite decimal string, kind is debit or credit; credits negate the amount. Sum duplicates separately in each file using exact arithmetic. Return sorted [key,delta] for nonzero left-minus-right differences. delta MUST be canonical Fraction string (integer if denominator=1, otherwise numerator/denominator), not decimal or float.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"parse.py": "import csv\nimport io\ndef rows(text):\n return [dict(zip(['key','amount','kind'],line.split(','))) for line in text.splitlines()[1:]]\n", "keys.py": "def key(row):\n return row['key'].strip().lower()\n", "amounts.py": "from fractions import Fraction\ndef amount(row):\n value = Fraction(row['amount'])\n return -value if row['kind']=='credit' else value\n", "main.py": "from fractions import Fraction\nfrom parse import rows\nfrom keys import key\nfrom amounts import amount\ndef totals(text):\n out = {}\n for row in rows(text):\n k = key(row)\n out[k] = out.get(k,Fraction(0)) + amount(row)\n return out\ndef solve(left,right):\n a,b = totals(left),totals(right)\n return [[k,str(a.get(k,Fraction(0))-b.get(k,Fraction(0)))] for k in sorted(set(a)|set(b)) if a.get(k,Fraction(0))!=b.get(k,Fraction(0))]\n", "settings.py": "FEE = 2\nLIMIT = 4\nWINDOW = 5\nTHRESHOLD = 4\nCALIBRATIONS = {'s0': [1, 0], 's1': [4, 5], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": ["key,amount,kind\r\n", "key,amount,kind\r\n"], "expected": []}, {"group": "quoting", "args": ["key,amount,kind\r\n\"a,b\",1.25,debit\r\n\"a\nline\",2,debit\r\n", "key,amount,kind\r\n"], "expected": [["a\nline", "2"], ["a,b", "5/4"]]}, {"group": "random", "args": ["key,amount,kind\r\n Alpha ,-7.11,debit\r\n\"\"\"quote\"\"\",6.93,credit\r\n\"a\nline\",-3.19,debit\r\n Alpha ,5.85,debit\r\nbeta,9.07,debit\r\nbeta,1.31,credit\r\n\"a\nline\",-5.20,credit\r\n", "key,amount,kind\r\n\"a\nline\",6.88,debit\r\n\"a\nline\",2.65,credit\r\n\"a\nline\",-0.52,debit\r\nALPHA,4.24,debit\r\nbeta,-2.87,debit\r\n\"a,b\",2.78,debit\r\nStra\u00dfe,5.56,credit\r\nStra\u00dfe,-5.02,debit\r\nbeta,-0.71,debit\r\nStra\u00dfe,1.96,credit\r\nStra\u00dfe,8.53,credit\r\nSTRASSE,-0.72,debit\r\nSTRASSE,9.35,credit\r\n"], "expected": [["\"quote\"", "-693/100"], ["a\nline", "-17/10"], ["a,b", "-139/50"], ["alpha", "-11/2"], ["beta", "567/50"], ["strasse", "1557/50"]]}], "selected_for_submission": false}
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{"task_id": "reconcile-3", "family": "reconcile", "defect_count": 3, "example_seed": 0, "prompt": "solve(left,right): two CSV strings with header key,amount,kind. CSV quoting follows Python csv rules. Normalize keys using strip().casefold(). Amount is a finite decimal string, kind is debit or credit; credits negate the amount. Sum duplicates separately in each file using exact arithmetic. Return sorted [key,delta] for nonzero left-minus-right differences. delta MUST be canonical Fraction string (integer if denominator=1, otherwise numerator/denominator), not decimal or float.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"parse.py": "import csv\nimport io\ndef rows(text):\n return [dict(zip(['key','amount','kind'],line.split(','))) for line in text.splitlines()[1:]]\n", "keys.py": "def key(row):\n return row['key'].strip().lower()\n", "amounts.py": "from fractions import Fraction\ndef amount(row):\n value = Fraction(row['amount'])\n return value\n", "main.py": "from fractions import Fraction\nfrom parse import rows\nfrom keys import key\nfrom amounts import amount\ndef totals(text):\n out = {}\n for row in rows(text):\n k = key(row)\n out[k] = out.get(k,Fraction(0)) + amount(row)\n return out\ndef solve(left,right):\n a,b = totals(left),totals(right)\n return [[k,str(a.get(k,Fraction(0))-b.get(k,Fraction(0)))] for k in sorted(set(a)|set(b)) if a.get(k,Fraction(0))!=b.get(k,Fraction(0))]\n", "settings.py": "FEE = 7\nLIMIT = 3\nWINDOW = 12\nTHRESHOLD = 4\nCALIBRATIONS = {'s0': [1, 0], 's1': [4, 4], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": ["key,amount,kind\r\n", "key,amount,kind\r\n"], "expected": []}, {"group": "quoting", "args": ["key,amount,kind\r\n\"a,b\",1.25,debit\r\n\"a\nline\",2,debit\r\n", "key,amount,kind\r\n"], "expected": [["a\nline", "2"], ["a,b", "5/4"]]}, {"group": "random", "args": ["key,amount,kind\r\n\"a,b\",-4.76,debit\r\n\"\"\"quote\"\"\",2.42,debit\r\n\"\"\"quote\"\"\",-3.65,debit\r\nStra\u00dfe,-6.47,credit\r\n\"a,b\",-2.10,credit\r\n", "key,amount,kind\r\nbeta,2.74,debit\r\nStra\u00dfe,-2.07,credit\r\n\"\"\"quote\"\"\",3.24,debit\r\nbeta,6.67,debit\r\nbeta,-9.72,credit\r\n\"\"\"quote\"\"\",-0.18,debit\r\nStra\u00dfe,1.23,credit\r\nSTRASSE,-3.20,credit\r\n Alpha ,-1.67,debit\r\n Alpha ,-9.72,debit\r\nbeta,0.16,credit\r\n\"a,b\",1.03,debit\r\nStra\u00dfe,6.35,credit\r\n\"\"\"quote\"\"\",-2.23,credit\r\nALPHA,-2.26,credit\r\n"], "expected": [["\"quote\"", "-163/25"], ["a,b", "-369/100"], ["alpha", "913/100"], ["beta", "-1897/100"], ["strasse", "439/50"]]}], "selected_for_submission": false}
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| 19 |
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{"task_id": "allocation-1", "family": "allocation", "defect_count": 1, "example_seed": 0, "prompt": "solve(workers,jobs,quotes): workers=[[name,capacity],...], jobs=[[name,demand],...], quotes=[[worker,job,cost_per_unit],...] (unique pairs, nonnegative integer costs). Unquoted assignments are forbidden. Allocate integer units, never exceed a worker capacity or job demand. First maximize total filled demand, then minimize cost among all such allocations. Return exactly {filled:int,cost:int}. A greedy edge ordering is insufficient; reassignment may be necessary. Names in each list are unique. Empty and disconnected instances are valid; do not mutate inputs.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"network.py": "def edge(graph,a,b,cap,cost):\n graph[a].append([b,len(graph[b]),cap,cost])\n graph[b].append([a,len(graph[a])-1,0,-cost])\n", "paths.py": "def shortest(graph,source):\n n=len(graph)\n distance=[None]*n\n parent=[None]*n\n distance[source]=0\n for turn in range(n-1):\n changed=False\n for a in range(n):\n if distance[a] is not None:\n for idx,e in enumerate(graph[a]):\n b,rev,cap,cost=e\n if cap>0 and (distance[b] is None or distance[a]+cost<distance[b]):\n distance[b]=distance[a]+cost\n parent[b]=(a,idx)\n changed=True\n if not changed:\n break\n return distance,parent\n", "augment.py": "def send(graph,parent,source,sink):\n path=[]\n v=sink\n while v!=source:\n a,idx=parent[v]\n path.append((a,idx))\n v=a\n amount=max(graph[a][idx][2] for a,idx in path)\n for a,idx in path:\n b,rev,cap,cost=graph[a][idx]\n graph[a][idx][2]-=amount\n graph[b][rev][2]+=amount\n return amount\n", "main.py": "from network import edge\nfrom paths import shortest\nfrom augment import send\ndef solve(workers,jobs,quotes):\n wmap={name:i+1 for i,(name,c) in enumerate(workers)}\n jmap={name:len(workers)+i+1 for i,(name,d) in enumerate(jobs)}\n source,sink=0,len(workers)+len(jobs)+1\n graph=[[] for i in range(sink+1)]\n for name,c in workers:\n edge(graph,source,wmap[name],c,0)\n for name,d in jobs:\n edge(graph,jmap[name],sink,d,0)\n for w,j,c in quotes:\n edge(graph,wmap[w],jmap[j],sum(d for name,d in jobs),c)\n filled,total=0,0\n while True:\n distance,parent=shortest(graph,source)\n if distance[sink] is None:\n break\n amount=send(graph,parent,source,sink)\n filled+=amount\n total+=amount*distance[sink]\n return {'filled':filled,'cost':total}\n", "settings.py": "FEE = 3\nLIMIT = 3\nWINDOW = 13\nTHRESHOLD = 4\nCALIBRATIONS = {'s0': [1, 0], 's1': [3, 1], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[], [], []], "expected": {"filled": 0, "cost": 0}}, {"group": "reroute", "args": [[["a", 1], ["b", 1]], [["x", 1], ["y", 1]], [["a", "x", 1], ["a", "y", 2], ["b", "x", 2], ["b", "y", 100]]], "expected": {"filled": 2, "cost": 4}}, {"group": "random", "args": [[["w0", 2], ["w1", 3]], [["j0", 1], ["j1", 2], ["j2", 2]], [["w0", "j2", 16], ["w0", "j1", 3], ["w0", "j0", 17], ["w1", "j0", 17], ["w1", "j2", 7]]], "expected": {"filled": 5, "cost": 37}}], "selected_for_submission": true}
|
| 20 |
+
{"task_id": "allocation-2", "family": "allocation", "defect_count": 2, "example_seed": 0, "prompt": "solve(workers,jobs,quotes): workers=[[name,capacity],...], jobs=[[name,demand],...], quotes=[[worker,job,cost_per_unit],...] (unique pairs, nonnegative integer costs). Unquoted assignments are forbidden. Allocate integer units, never exceed a worker capacity or job demand. First maximize total filled demand, then minimize cost among all such allocations. Return exactly {filled:int,cost:int}. A greedy edge ordering is insufficient; reassignment may be necessary. Names in each list are unique. Empty and disconnected instances are valid; do not mutate inputs.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"network.py": "def edge(graph,a,b,cap,cost):\n graph[a].append([b,len(graph[b]),cap,cost])\n graph[b].append([a,len(graph[a])-1,0,-cost])\n", "paths.py": "def shortest(graph,source):\n n=len(graph)\n distance=[None]*n\n parent=[None]*n\n distance[source]=0\n for turn in range(1):\n changed=False\n for a in range(n):\n if distance[a] is not None:\n for idx,e in enumerate(graph[a]):\n b,rev,cap,cost=e\n if cap>0 and (distance[b] is None or distance[a]+cost<distance[b]):\n distance[b]=distance[a]+cost\n parent[b]=(a,idx)\n changed=True\n if not changed:\n break\n return distance,parent\n", "augment.py": "def send(graph,parent,source,sink):\n path=[]\n v=sink\n while v!=source:\n a,idx=parent[v]\n path.append((a,idx))\n v=a\n amount=max(graph[a][idx][2] for a,idx in path)\n for a,idx in path:\n b,rev,cap,cost=graph[a][idx]\n graph[a][idx][2]-=amount\n graph[b][rev][2]+=amount\n return amount\n", "main.py": "from network import edge\nfrom paths import shortest\nfrom augment import send\ndef solve(workers,jobs,quotes):\n wmap={name:i+1 for i,(name,c) in enumerate(workers)}\n jmap={name:len(workers)+i+1 for i,(name,d) in enumerate(jobs)}\n source,sink=0,len(workers)+len(jobs)+1\n graph=[[] for i in range(sink+1)]\n for name,c in workers:\n edge(graph,source,wmap[name],c,0)\n for name,d in jobs:\n edge(graph,jmap[name],sink,d,0)\n for w,j,c in quotes:\n edge(graph,wmap[w],jmap[j],sum(d for name,d in jobs),c)\n filled,total=0,0\n while True:\n distance,parent=shortest(graph,source)\n if distance[sink] is None:\n break\n amount=send(graph,parent,source,sink)\n filled+=amount\n total+=amount*distance[sink]\n return {'filled':filled,'cost':total}\n", "settings.py": "FEE = 7\nLIMIT = 4\nWINDOW = 9\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [4, 3], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[], [], []], "expected": {"filled": 0, "cost": 0}}, {"group": "reroute", "args": [[["a", 1], ["b", 1]], [["x", 1], ["y", 1]], [["a", "x", 1], ["a", "y", 2], ["b", "x", 2], ["b", "y", 100]]], "expected": {"filled": 2, "cost": 4}}, {"group": "random", "args": [[["w0", 3], ["w2", 2], ["w1", 2]], [["j1", 1], ["j0", 2]], [["w0", "j1", 4], ["w0", "j0", 1], ["w1", "j0", 0], ["w2", "j1", 6], ["w1", "j1", 12], ["w2", "j0", 11]]], "expected": {"filled": 3, "cost": 4}}], "selected_for_submission": true}
|
| 21 |
+
{"task_id": "allocation-3", "family": "allocation", "defect_count": 3, "example_seed": 0, "prompt": "solve(workers,jobs,quotes): workers=[[name,capacity],...], jobs=[[name,demand],...], quotes=[[worker,job,cost_per_unit],...] (unique pairs, nonnegative integer costs). Unquoted assignments are forbidden. Allocate integer units, never exceed a worker capacity or job demand. First maximize total filled demand, then minimize cost among all such allocations. Return exactly {filled:int,cost:int}. A greedy edge ordering is insufficient; reassignment may be necessary. Names in each list are unique. Empty and disconnected instances are valid; do not mutate inputs.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"network.py": "def edge(graph,a,b,cap,cost):\n graph[a].append([b,len(graph[b]),cap,cost])\n graph[b].append([a,len(graph[a])-1,0,cost])\n", "paths.py": "def shortest(graph,source):\n n=len(graph)\n distance=[None]*n\n parent=[None]*n\n distance[source]=0\n for turn in range(1):\n changed=False\n for a in range(n):\n if distance[a] is not None:\n for idx,e in enumerate(graph[a]):\n b,rev,cap,cost=e\n if cap>0 and (distance[b] is None or distance[a]+cost<distance[b]):\n distance[b]=distance[a]+cost\n parent[b]=(a,idx)\n changed=True\n if not changed:\n break\n return distance,parent\n", "augment.py": "def send(graph,parent,source,sink):\n path=[]\n v=sink\n while v!=source:\n a,idx=parent[v]\n path.append((a,idx))\n v=a\n amount=max(graph[a][idx][2] for a,idx in path)\n for a,idx in path:\n b,rev,cap,cost=graph[a][idx]\n graph[a][idx][2]-=amount\n graph[b][rev][2]+=amount\n return amount\n", "main.py": "from network import edge\nfrom paths import shortest\nfrom augment import send\ndef solve(workers,jobs,quotes):\n wmap={name:i+1 for i,(name,c) in enumerate(workers)}\n jmap={name:len(workers)+i+1 for i,(name,d) in enumerate(jobs)}\n source,sink=0,len(workers)+len(jobs)+1\n graph=[[] for i in range(sink+1)]\n for name,c in workers:\n edge(graph,source,wmap[name],c,0)\n for name,d in jobs:\n edge(graph,jmap[name],sink,d,0)\n for w,j,c in quotes:\n edge(graph,wmap[w],jmap[j],sum(d for name,d in jobs),c)\n filled,total=0,0\n while True:\n distance,parent=shortest(graph,source)\n if distance[sink] is None:\n break\n amount=send(graph,parent,source,sink)\n filled+=amount\n total+=amount*distance[sink]\n return {'filled':filled,'cost':total}\n", "settings.py": "FEE = 1\nLIMIT = 4\nWINDOW = 8\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 3], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "empty", "args": [[], [], []], "expected": {"filled": 0, "cost": 0}}, {"group": "reroute", "args": [[["a", 1], ["b", 1]], [["x", 1], ["y", 1]], [["a", "x", 1], ["a", "y", 2], ["b", "x", 2], ["b", "y", 100]]], "expected": {"filled": 2, "cost": 4}}, {"group": "random", "args": [[["w1", 3], ["w0", 2]], [["j1", 1], ["j2", 2], ["j0", 1]], [["w1", "j0", 20], ["w0", "j1", 6], ["w0", "j2", 16], ["w1", "j1", 15], ["w1", "j2", 6]]], "expected": {"filled": 4, "cost": 38}}], "selected_for_submission": true}
|
| 22 |
+
{"task_id": "expression-1", "family": "expression", "defect_count": 1, "example_seed": 0, "prompt": "solve(text): text is a valid arithmetic expression of nonnegative integer literals, whitespace, parentheses, unary +/- and binary + - * / ^. Use exact rational arithmetic. Power is right-associative and binds MORE tightly than unary signs; multiplication/division are left-associative and bind more tightly than addition/subtraction. Exponents evaluate to nonnegative integers; no zero divisor occurs. Return the canonical fractions.Fraction string, integer if denominator=1, else numerator/denominator. Example -2^2 is -4, 2^3^2 is 512, 8/4/2 is 1. Input unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"lex.py": "def tokens(text):\n out=[]\n i=0\n while i<len(text):\n c=text[i]\n if c.isspace():\n i+=1\n elif c.isdigit():\n j=i+1\n while False:\n j+=1\n out.append(text[i:j])\n i=j\n else:\n out.append(c)\n i+=1\n return out\n", "binding.py": "def powers(op):\n if op in ('+','-'): return (10,11)\n if op in ('*','/'): return (20,21)\n if op=='^': return (40,40)\n return (-1,-1)\n", "unary.py": "def precedence():\n return 30\n", "main.py": "from fractions import Fraction\nfrom lex import tokens\nfrom binding import powers\nfrom unary import precedence\ndef parse(ts,pos,minimum):\n token=ts[pos]\n if token in ('+','-'):\n value,pos=parse(ts,pos+1,precedence())\n if token=='-': value=-value\n elif token=='(':\n value,pos=parse(ts,pos+1,0)\n if ts[pos]!=')': raise ValueError('parenthesis')\n pos+=1\n else:\n value=Fraction(int(token))\n pos+=1\n while pos<len(ts):\n op=ts[pos]\n left,right=powers(op)\n if left<minimum: break\n other,pos=parse(ts,pos+1,right)\n if op=='+': value+=other\n elif op=='-': value-=other\n elif op=='*': value*=other\n elif op=='/': value/=other\n elif op=='^': value=value**other\n return value,pos\ndef solve(text):\n ts=tokens(text)\n value,pos=parse(ts,0,0)\n if pos!=len(ts): raise ValueError('trailing tokens')\n return str(value)\n", "settings.py": "FEE = 1\nLIMIT = 7\nWINDOW = 14\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [3, 5], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "literal", "args": ["30"], "expected": "30"}, {"group": "unary", "args": ["-2^2"], "expected": "-4"}, {"group": "random", "args": ["(((10 - 1) - (7 * 19)) - -((1 - 4) * (6 * 5)))"], "expected": "-214"}], "selected_for_submission": true}
|
| 23 |
+
{"task_id": "expression-2", "family": "expression", "defect_count": 2, "example_seed": 0, "prompt": "solve(text): text is a valid arithmetic expression of nonnegative integer literals, whitespace, parentheses, unary +/- and binary + - * / ^. Use exact rational arithmetic. Power is right-associative and binds MORE tightly than unary signs; multiplication/division are left-associative and bind more tightly than addition/subtraction. Exponents evaluate to nonnegative integers; no zero divisor occurs. Return the canonical fractions.Fraction string, integer if denominator=1, else numerator/denominator. Example -2^2 is -4, 2^3^2 is 512, 8/4/2 is 1. Input unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"lex.py": "def tokens(text):\n out=[]\n i=0\n while i<len(text):\n c=text[i]\n if c.isspace():\n i+=1\n elif c.isdigit():\n j=i+1\n while False:\n j+=1\n out.append(text[i:j])\n i=j\n else:\n out.append(c)\n i+=1\n return out\n", "binding.py": "def powers(op):\n if op in ('+','-'): return (10,11)\n if op in ('*','/'): return (20,21)\n if op=='^': return (40,40)\n return (-1,-1)\n", "unary.py": "def precedence():\n return 50\n", "main.py": "from fractions import Fraction\nfrom lex import tokens\nfrom binding import powers\nfrom unary import precedence\ndef parse(ts,pos,minimum):\n token=ts[pos]\n if token in ('+','-'):\n value,pos=parse(ts,pos+1,precedence())\n if token=='-': value=-value\n elif token=='(':\n value,pos=parse(ts,pos+1,0)\n if ts[pos]!=')': raise ValueError('parenthesis')\n pos+=1\n else:\n value=Fraction(int(token))\n pos+=1\n while pos<len(ts):\n op=ts[pos]\n left,right=powers(op)\n if left<minimum: break\n other,pos=parse(ts,pos+1,right)\n if op=='+': value+=other\n elif op=='-': value-=other\n elif op=='*': value*=other\n elif op=='/': value/=other\n elif op=='^': value=value**other\n return value,pos\ndef solve(text):\n ts=tokens(text)\n value,pos=parse(ts,0,0)\n if pos!=len(ts): raise ValueError('trailing tokens')\n return str(value)\n", "settings.py": "FEE = 5\nLIMIT = 3\nWINDOW = 12\nTHRESHOLD = 2\nCALIBRATIONS = {'s0': [1, 0], 's1': [2, 1], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "literal", "args": ["70"], "expected": "70"}, {"group": "unary", "args": ["-3^2"], "expected": "-9"}, {"group": "random", "args": ["(((13 - 20) + (2 + 16)) ^ 0)"], "expected": "1"}], "selected_for_submission": true}
|
| 24 |
+
{"task_id": "expression-3", "family": "expression", "defect_count": 3, "example_seed": 0, "prompt": "solve(text): text is a valid arithmetic expression of nonnegative integer literals, whitespace, parentheses, unary +/- and binary + - * / ^. Use exact rational arithmetic. Power is right-associative and binds MORE tightly than unary signs; multiplication/division are left-associative and bind more tightly than addition/subtraction. Exponents evaluate to nonnegative integers; no zero divisor occurs. Return the canonical fractions.Fraction string, integer if denominator=1, else numerator/denominator. Example -2^2 is -4, 2^3^2 is 512, 8/4/2 is 1. Input unchanged.\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.", "starter": {"lex.py": "def tokens(text):\n out=[]\n i=0\n while i<len(text):\n c=text[i]\n if c.isspace():\n i+=1\n elif c.isdigit():\n j=i+1\n while False:\n j+=1\n out.append(text[i:j])\n i=j\n else:\n out.append(c)\n i+=1\n return out\n", "binding.py": "def powers(op):\n if op in ('+','-'): return (10,11)\n if op in ('*','/'): return (20,21)\n if op=='^': return (40,41)\n return (-1,-1)\n", "unary.py": "def precedence():\n return 50\n", "main.py": "from fractions import Fraction\nfrom lex import tokens\nfrom binding import powers\nfrom unary import precedence\ndef parse(ts,pos,minimum):\n token=ts[pos]\n if token in ('+','-'):\n value,pos=parse(ts,pos+1,precedence())\n if token=='-': value=-value\n elif token=='(':\n value,pos=parse(ts,pos+1,0)\n if ts[pos]!=')': raise ValueError('parenthesis')\n pos+=1\n else:\n value=Fraction(int(token))\n pos+=1\n while pos<len(ts):\n op=ts[pos]\n left,right=powers(op)\n if left<minimum: break\n other,pos=parse(ts,pos+1,right)\n if op=='+': value+=other\n elif op=='-': value-=other\n elif op=='*': value*=other\n elif op=='/': value/=other\n elif op=='^': value=value**other\n return value,pos\ndef solve(text):\n ts=tokens(text)\n value,pos=parse(ts,0,0)\n if pos!=len(ts): raise ValueError('trailing tokens')\n return str(value)\n", "settings.py": "FEE = 2\nLIMIT = 7\nWINDOW = 8\nTHRESHOLD = 3\nCALIBRATIONS = {'s0': [1, 0], 's1': [4, 2], 's2': [-1, 3]}\n"}, "public_examples": [{"group": "literal", "args": ["91"], "expected": "91"}, {"group": "unary", "args": ["-2^2"], "expected": "-4"}, {"group": "random", "args": ["((14 + 4) ^ 2)"], "expected": "324"}], "selected_for_submission": true}
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components/loui/upstream/v3/tasks.py
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|
| 1 |
+
"""Original seeded multi-module repair tasks; references never enter candidate execution."""
|
| 2 |
+
import copy
|
| 3 |
+
import csv
|
| 4 |
+
import io
|
| 5 |
+
import random
|
| 6 |
+
from dataclasses import dataclass
|
| 7 |
+
from fractions import Fraction
|
| 8 |
+
from hard_tasks import HARD_SPECS, allocation_ref, expression_ref, hard_cases
|
| 9 |
+
|
| 10 |
+
FAMILIES = ('ledger', 'capacity', 'workflow', 'incident', 'sensor', 'reconcile', 'allocation', 'expression')
|
| 11 |
+
TASK_IDS = tuple(f'{f}-{level}' for f in FAMILIES for level in (1, 2, 3))
|
| 12 |
+
|
| 13 |
+
@dataclass
|
| 14 |
+
class Task:
|
| 15 |
+
task_id: str
|
| 16 |
+
seed: int
|
| 17 |
+
prompt: str
|
| 18 |
+
starter: dict
|
| 19 |
+
solution: dict
|
| 20 |
+
visible: list
|
| 21 |
+
hidden: list
|
| 22 |
+
mutations: list
|
| 23 |
+
|
| 24 |
+
def ledger_ref(events, fee):
|
| 25 |
+
lots, pnl, missing = {}, 0, 0
|
| 26 |
+
for e in events:
|
| 27 |
+
key = (e['account'], e['asset'])
|
| 28 |
+
queue = lots.setdefault(key, [])
|
| 29 |
+
if e['side'] == 'buy':
|
| 30 |
+
queue.extend([e['price']] * e['qty'])
|
| 31 |
+
else:
|
| 32 |
+
amount = min(e['qty'], len(queue))
|
| 33 |
+
pnl += sum(e['price'] - p - fee for p in queue[:amount])
|
| 34 |
+
del queue[:amount]
|
| 35 |
+
missing += e['qty'] - amount
|
| 36 |
+
return {'pnl': pnl, 'unfilled': missing, 'positions': [
|
| 37 |
+
[a, s, len(q), sum(q)] for (a, s), q in sorted(lots.items()) if q]}
|
| 38 |
+
|
| 39 |
+
def capacity_ref(bookings, limit):
|
| 40 |
+
# Independent interval scan, not the submitted endpoint sweep.
|
| 41 |
+
boundaries = sorted({x for a, b, weight in bookings for x in (a, b) if a < b and weight > 0})
|
| 42 |
+
segments, peak, area = [], 0, 0
|
| 43 |
+
for a, b in zip(boundaries, boundaries[1:]):
|
| 44 |
+
load = sum(w for s, e, w in bookings if s <= a < e and w > 0)
|
| 45 |
+
peak = max(peak, load)
|
| 46 |
+
area += max(0, load - limit) * (b - a)
|
| 47 |
+
if load > limit:
|
| 48 |
+
if segments and segments[-1][1] == a:
|
| 49 |
+
segments[-1][1] = b
|
| 50 |
+
else:
|
| 51 |
+
segments.append([a, b])
|
| 52 |
+
return {'peak': peak, 'overload': segments, 'excess_area': area}
|
| 53 |
+
|
| 54 |
+
def workflow_ref(jobs):
|
| 55 |
+
lookup = {j['id']: j for j in jobs}
|
| 56 |
+
finish, visiting = {}, set()
|
| 57 |
+
def visit(name):
|
| 58 |
+
if name not in lookup or name in visiting:
|
| 59 |
+
raise ValueError('invalid dependencies')
|
| 60 |
+
if name not in finish:
|
| 61 |
+
visiting.add(name)
|
| 62 |
+
j = lookup[name]
|
| 63 |
+
finish[name] = j['duration'] + max([j['release']] + [visit(d) for d in j['deps']])
|
| 64 |
+
visiting.remove(name)
|
| 65 |
+
return finish[name]
|
| 66 |
+
try:
|
| 67 |
+
for j in jobs:
|
| 68 |
+
visit(j['id'])
|
| 69 |
+
return {'status': 'ok', 'finish': [[n, finish[n]] for n in sorted(finish)],
|
| 70 |
+
'late': sorted(j['id'] for j in jobs if finish[j['id']] > j['deadline'])}
|
| 71 |
+
except ValueError:
|
| 72 |
+
return {'status': 'invalid', 'finish': [], 'late': []}
|
| 73 |
+
|
| 74 |
+
def incident_ref(events, window, threshold):
|
| 75 |
+
ordered = sorted(enumerate(events), key=lambda x: (x[1]['time'], x[0]))
|
| 76 |
+
history, seen, alerts = {}, set(), []
|
| 77 |
+
for _, e in ordered:
|
| 78 |
+
if e['id'] in seen:
|
| 79 |
+
continue
|
| 80 |
+
seen.add(e['id'])
|
| 81 |
+
key = (e['user'], e['ip'])
|
| 82 |
+
if e['outcome'] == 'success':
|
| 83 |
+
history.pop(key, None)
|
| 84 |
+
continue
|
| 85 |
+
prior = [t for t in history.get(key, []) if e['time'] - window <= t]
|
| 86 |
+
history[key] = prior + [e['time']]
|
| 87 |
+
if len(prior) < threshold <= len(prior) + 1:
|
| 88 |
+
alerts.append([e['user'], e['ip'], e['time']])
|
| 89 |
+
return alerts
|
| 90 |
+
|
| 91 |
+
def sensor_ref(readings, calibrations, threshold):
|
| 92 |
+
converted = {}
|
| 93 |
+
for r in readings:
|
| 94 |
+
if r['valid']:
|
| 95 |
+
gain, offset = calibrations[r['sensor']]
|
| 96 |
+
converted[(r['sensor'], r['time'])] = gain * r['value'] + offset
|
| 97 |
+
groups = {}
|
| 98 |
+
for (_, time), value in converted.items():
|
| 99 |
+
groups.setdefault(time, []).append(value)
|
| 100 |
+
result = []
|
| 101 |
+
for time, values in sorted(groups.items()):
|
| 102 |
+
ordered = sorted(values)
|
| 103 |
+
n = len(ordered)
|
| 104 |
+
mid = Fraction(ordered[n // 2]) if n % 2 else Fraction(ordered[n//2-1] + ordered[n//2], 2)
|
| 105 |
+
result.append([time, float(mid), mid > threshold])
|
| 106 |
+
return result
|
| 107 |
+
|
| 108 |
+
def reconcile_ref(left, right):
|
| 109 |
+
totals = [{}, {}]
|
| 110 |
+
for side, text in enumerate((left, right)):
|
| 111 |
+
for row in csv.DictReader(io.StringIO(text)):
|
| 112 |
+
key = row['key'].strip().casefold()
|
| 113 |
+
value = Fraction(row['amount'])
|
| 114 |
+
if row['kind'] == 'credit':
|
| 115 |
+
value = -value
|
| 116 |
+
totals[side][key] = totals[side].get(key, Fraction(0)) + value
|
| 117 |
+
return [[key, str(totals[0].get(key, Fraction(0)) - totals[1].get(key, Fraction(0)))]
|
| 118 |
+
for key in sorted(totals[0].keys() | totals[1].keys())
|
| 119 |
+
if totals[0].get(key, Fraction(0)) != totals[1].get(key, Fraction(0))]
|
| 120 |
+
|
| 121 |
+
REFERENCES = dict(zip(FAMILIES, (ledger_ref, capacity_ref, workflow_ref, incident_ref, sensor_ref, reconcile_ref)))
|
| 122 |
+
|
| 123 |
+
# Each defect is in a distinct module and has a targeted verifier group.
|
| 124 |
+
SPECS = {
|
| 125 |
+
'ledger': (
|
| 126 |
+
'solve(events): FIFO accounting in input order. Each event has account, asset, side (buy/sell), qty (positive integer), price (integer cents). Separate lots by (account,asset). Sell only available units, do not create shorts. Deduct FEE cents per filled sold unit. Return pnl, unfilled (total requested units lacking stock), and sorted nonempty positions [account,asset,qty,cost_basis]. Do not mutate input.',
|
| 127 |
+
{
|
| 128 |
+
'identity.py': "def key(e):\n return (e['account'], e['asset'])\n",
|
| 129 |
+
'lots.py': "def consume(queue, qty):\n used = min(qty, sum(n for n, p in queue))\n remaining, cost = used, 0\n while remaining:\n n, p = queue[0]\n take = min(n, remaining)\n cost += take * p\n remaining -= take\n if take == n:\n queue.pop(0)\n else:\n queue[0] = (n - take, p)\n return used, cost\n",
|
| 130 |
+
'charges.py': "from settings import FEE\ndef profit(qty, price, cost):\n return qty * (price - FEE) - cost\n",
|
| 131 |
+
'main.py': "from identity import key\nfrom lots import consume\nfrom charges import profit\ndef solve(events):\n lots, pnl, unfilled = {}, 0, 0\n for e in events:\n k = key(e)\n q = lots.setdefault(k, [])\n if e['side'] == 'buy':\n q.append((e['qty'], e['price']))\n else:\n used, cost = consume(q, e['qty'])\n pnl += profit(used, e['price'], cost)\n unfilled += e['qty'] - used\n return {'pnl': pnl, 'unfilled': unfilled, 'positions': [[a, s, sum(n for n, p in q), sum(n*p for n,p in q)] for (a,s),q in sorted(lots.items()) if q]}\n",
|
| 132 |
+
}, [('identity.py', "(e['account'], e['asset'])", "(e['asset'], e['asset'])"),
|
| 133 |
+
('lots.py', 'queue[0]', 'queue[-1]'),
|
| 134 |
+
('charges.py', 'qty * (price - FEE) - cost', 'qty * price - FEE - cost')]),
|
| 135 |
+
'capacity': (
|
| 136 |
+
'solve(bookings): each [start,end,weight] is a half-open integer-time weighted reservation. Ignore zero-length and nonpositive-weight entries. Return peak load, merged maximal overload intervals where load > LIMIT, and integral of max(load-LIMIT,0) over time as excess_area. Touching overload intervals must merge. Input unchanged.',
|
| 137 |
+
{
|
| 138 |
+
'events.py': "def endpoints(bookings):\n delta = {}\n for a,b,w in bookings:\n if a < b and w > 0:\n delta[a] = delta.get(a, 0) + w\n delta[b] = delta.get(b, 0) - w\n return sorted(delta.items())\n",
|
| 139 |
+
'rules.py': "from settings import LIMIT\ndef overloaded(load):\n return load > LIMIT\ndef excess(load):\n return max(0, load - LIMIT)\n",
|
| 140 |
+
'merge.py': "def append_span(spans, a, b):\n if spans and spans[-1][1] == a:\n spans[-1][1] = b\n else:\n spans.append([a,b])\n",
|
| 141 |
+
'main.py': "from events import endpoints\nfrom rules import overloaded, excess\nfrom merge import append_span\ndef solve(bookings):\n points = endpoints(bookings)\n load, peak, area, spans = 0, 0, 0, []\n for i in range(len(points)-1):\n a,delta = points[i]\n b = points[i+1][0]\n load += delta\n peak = max(peak, load)\n area += excess(load) * (b-a)\n if overloaded(load):\n append_span(spans, a, b)\n return {'peak': peak, 'overload': spans, 'excess_area': area}\n",
|
| 142 |
+
}, [('events.py', 'delta.get(b, 0) - w', 'delta.get(b, 0) + w'),
|
| 143 |
+
('rules.py', 'load > LIMIT', 'load >= LIMIT'),
|
| 144 |
+
('merge.py', 'spans[-1][1] == a', 'spans[-1][1] > a')]),
|
| 145 |
+
'workflow': (
|
| 146 |
+
'solve(jobs): jobs have unique id, duration>=0, release>=0, deadline, deps (job IDs). Unlimited parallel workers. Start each job at max(release, predecessor finish times), then add duration. Return status=ok, sorted finish pairs and IDs with finish strictly greater than deadline as late. Missing dependencies or any cycle make the whole graph invalid: status=invalid, finish=[], late=[]. Jobs are arbitrarily ordered; do not mutate them.',
|
| 147 |
+
{
|
| 148 |
+
'graph.py': "def ready(job, pending, finished):\n return all(d in finished for d in job['deps'])\n",
|
| 149 |
+
'timing.py': "def end_time(job, finished):\n return max([job['release']] + [finished[d] for d in job['deps']]) + job['duration']\n",
|
| 150 |
+
'report.py': "def report(jobs, finished):\n return {'status': 'ok', 'finish': [[n,finished[n]] for n in sorted(finished)], 'late': sorted(j['id'] for j in jobs if finished[j['id']] > j['deadline'])}\n",
|
| 151 |
+
'main.py': "from graph import ready\nfrom timing import end_time\nfrom report import report\ndef solve(jobs):\n pending = {j['id']:j for j in jobs}\n finished = {}\n while pending:\n progress = False\n for name,job in list(pending.items()):\n if ready(job, pending, finished):\n finished[name] = end_time(job, finished)\n del pending[name]\n progress = True\n if not progress:\n return {'status':'invalid','finish':[],'late':[]}\n return report(jobs, finished)\n",
|
| 152 |
+
}, [('graph.py', "all(d in finished for d in job['deps'])", "all(d not in pending for d in job['deps'])"),
|
| 153 |
+
('timing.py', "max([job['release']] + [finished[d] for d in job['deps']])", "job['release'] + sum(finished[d] for d in job['deps'])"),
|
| 154 |
+
('report.py', "> j['deadline']", ">= j['deadline']")]),
|
| 155 |
+
'incident': (
|
| 156 |
+
'solve(events): process events by (time, original index), preserving ties. Global event id deduplication keeps the first in that sorted order. Group failures by (user,ip). At each failure retain times in inclusive [time-WINDOW,time]. Alert [user,ip,time] only on a crossing from fewer than THRESHOLD failures to at least THRESHOLD. A success clears that pair only. Return alerts in processing order, without mutating events.',
|
| 157 |
+
{
|
| 158 |
+
'order.py': "def ordered(events):\n return sorted(enumerate(events), key=lambda x: (x[1]['time'], x[0]))\n",
|
| 159 |
+
'window.py': "from settings import WINDOW\ndef trim(times, now):\n return [t for t in times if t >= now - WINDOW]\n",
|
| 160 |
+
'resetter.py': "def reset(history, key):\n history.pop(key, None)\n",
|
| 161 |
+
'main.py': "from settings import THRESHOLD\nfrom order import ordered\nfrom window import trim\nfrom resetter import reset\ndef solve(events):\n history, seen, alerts = {}, set(), []\n for idx,e in ordered(events):\n if e['id'] in seen:\n continue\n seen.add(e['id'])\n k = (e['user'],e['ip'])\n if e['outcome'] == 'success':\n reset(history,k)\n else:\n prior = trim(history.get(k,[]),e['time'])\n history[k] = prior + [e['time']]\n if len(prior) < THRESHOLD <= len(prior)+1:\n alerts.append([e['user'],e['ip'],e['time']])\n return alerts\n",
|
| 162 |
+
}, [('order.py', "(x[1]['time'], x[0])", "(x[1]['time'], -x[0])"),
|
| 163 |
+
('window.py', 't >= now - WINDOW', 't > now - WINDOW'),
|
| 164 |
+
('resetter.py', 'history.pop(key, None)', 'history.clear()')]),
|
| 165 |
+
'sensor': (
|
| 166 |
+
'solve(readings): readings have sensor, time, value (integer), valid (bool). Ignore invalid readings; for duplicate (sensor,time), keep the last valid occurrence in input order. Convert each retained value with CALIBRATIONS[sensor]=[gain,offset] as gain*value+offset BEFORE aggregation. Return sorted [time,median,alarm] rows; even-count median averages the middle two; alarm is median strictly > THRESHOLD. Inputs unchanged.',
|
| 167 |
+
{
|
| 168 |
+
'dedup.py': "def latest(readings):\n kept = {}\n for r in readings:\n if r['valid']:\n kept[(r['sensor'],r['time'])] = r\n return list(kept.values())\n",
|
| 169 |
+
'convert.py': "from settings import CALIBRATIONS\ndef convert(r):\n gain,offset = CALIBRATIONS[r['sensor']]\n return gain*r['value']+offset\n",
|
| 170 |
+
'stats.py': "def median(values):\n v = sorted(values)\n n = len(v)\n return v[n//2] if n%2 else (v[n//2-1]+v[n//2])/2\n",
|
| 171 |
+
'main.py': "from settings import THRESHOLD\nfrom dedup import latest\nfrom convert import convert\nfrom stats import median\ndef solve(readings):\n groups = {}\n for r in latest(readings):\n groups.setdefault(r['time'],[]).append(convert(r))\n return [[t, median(v), median(v)>THRESHOLD] for t,v in sorted(groups.items())]\n",
|
| 172 |
+
}, [('dedup.py', "kept[(r['sensor'],r['time'])] = r", "kept.setdefault((r['sensor'],r['time']), r)"),
|
| 173 |
+
('convert.py', "gain*r['value']+offset", "gain*(r['value']+offset)"),
|
| 174 |
+
('stats.py', '(v[n//2-1]+v[n//2])/2', 'v[n//2]')]),
|
| 175 |
+
'reconcile': (
|
| 176 |
+
'solve(left,right): two CSV strings with header key,amount,kind. CSV quoting follows Python csv rules. Normalize keys using strip().casefold(). Amount is a finite decimal string, kind is debit or credit; credits negate the amount. Sum duplicates separately in each file using exact arithmetic. Return sorted [key,delta] for nonzero left-minus-right differences. delta MUST be canonical Fraction string (integer if denominator=1, otherwise numerator/denominator), not decimal or float.',
|
| 177 |
+
{
|
| 178 |
+
'parse.py': "import csv\nimport io\ndef rows(text):\n return list(csv.DictReader(io.StringIO(text)))\n",
|
| 179 |
+
'keys.py': "def key(row):\n return row['key'].strip().casefold()\n",
|
| 180 |
+
'amounts.py': "from fractions import Fraction\ndef amount(row):\n value = Fraction(row['amount'])\n return -value if row['kind']=='credit' else value\n",
|
| 181 |
+
'main.py': "from fractions import Fraction\nfrom parse import rows\nfrom keys import key\nfrom amounts import amount\ndef totals(text):\n out = {}\n for row in rows(text):\n k = key(row)\n out[k] = out.get(k,Fraction(0)) + amount(row)\n return out\ndef solve(left,right):\n a,b = totals(left),totals(right)\n return [[k,str(a.get(k,Fraction(0))-b.get(k,Fraction(0)))] for k in sorted(set(a)|set(b)) if a.get(k,Fraction(0))!=b.get(k,Fraction(0))]\n",
|
| 182 |
+
}, [('parse.py', 'list(csv.DictReader(io.StringIO(text)))', "[dict(zip(['key','amount','kind'],line.split(','))) for line in text.splitlines()[1:]]"),
|
| 183 |
+
('keys.py', ".strip().casefold()", ".strip().lower()"),
|
| 184 |
+
('amounts.py', "-value if row['kind']=='credit' else value", 'value')]),
|
| 185 |
+
}
|
| 186 |
+
|
| 187 |
+
def csv_text(rows):
|
| 188 |
+
f = io.StringIO()
|
| 189 |
+
w = csv.writer(f)
|
| 190 |
+
w.writerow(['key','amount','kind'])
|
| 191 |
+
w.writerows(rows)
|
| 192 |
+
return f.getvalue()
|
| 193 |
+
|
| 194 |
+
def cases(family, rng, config):
|
| 195 |
+
"""Targeted edge groups plus compositional random tests; no private benchmark data."""
|
| 196 |
+
out = []
|
| 197 |
+
def add(group, *args):
|
| 198 |
+
out.append({'group': group, 'args': list(args)})
|
| 199 |
+
if family == 'ledger':
|
| 200 |
+
def event(a, s, side, n, p):
|
| 201 |
+
return dict(account=a,asset=s,side=side,qty=n,price=p)
|
| 202 |
+
add('empty', [])
|
| 203 |
+
add('identity', [event('a','x','buy',3,100),event('b','x','sell',2,150)])
|
| 204 |
+
add('fifo', [event('a','x','buy',2,10),event('a','x','buy',3,30),event('a','x','sell',3,45)])
|
| 205 |
+
add('fee', [event('a','x','buy',4,7),event('a','x','sell',4,12)])
|
| 206 |
+
add('shortfall', [event('a','x','buy',1,10),event('a','x','sell',5,30)])
|
| 207 |
+
for i in range(30):
|
| 208 |
+
add('random', [event(rng.choice('abc'),rng.choice('xyz'),rng.choice(['buy','sell']),rng.randint(1,6),rng.randint(1,250)) for _ in range(rng.randint(4,30))])
|
| 209 |
+
elif family == 'capacity':
|
| 210 |
+
limit = config['LIMIT']
|
| 211 |
+
add('empty', [])
|
| 212 |
+
add('half_open', [[0,4,limit],[4,7,limit]])
|
| 213 |
+
add('strict', [[0,5,limit]])
|
| 214 |
+
add('merge', [[0,3,limit+1],[3,6,limit+2]])
|
| 215 |
+
add('ignore', [[0,0,99],[1,5,0],[2,8,-3]])
|
| 216 |
+
for i in range(30):
|
| 217 |
+
values=[]
|
| 218 |
+
for j in range(rng.randint(2,15)):
|
| 219 |
+
a = rng.randint(-5,15)
|
| 220 |
+
values.append([a,a+rng.randint(0,10),rng.randint(-1,limit+4)])
|
| 221 |
+
add('random', values)
|
| 222 |
+
elif family == 'workflow':
|
| 223 |
+
def job(n, deps, duration=2, release=0, deadline=10):
|
| 224 |
+
return dict(id=n,deps=deps,duration=duration,release=release,deadline=deadline)
|
| 225 |
+
add('empty', [])
|
| 226 |
+
add('missing', [job('a',['absent'])])
|
| 227 |
+
add('cycle', [job('a',['b']),job('b',['a'])])
|
| 228 |
+
add('join', [job('c',['a','b'],3,4),job('b',[],5,2),job('a',[],2,1)])
|
| 229 |
+
add('deadline', [job('a',[],5,0,5)])
|
| 230 |
+
for i in range(30):
|
| 231 |
+
rows=[]
|
| 232 |
+
for j in range(rng.randint(3,12)):
|
| 233 |
+
rows.append(job(f'n{j}',[f'n{k}' for k in range(j) if rng.random()<.35],rng.randint(0,6),rng.randint(0,9),rng.randint(2,25)))
|
| 234 |
+
if i%7==0:
|
| 235 |
+
rows[0]['deps'] = [rows[-1]['id']]
|
| 236 |
+
rows[-1]['deps'].append(rows[0]['id'])
|
| 237 |
+
rng.shuffle(rows)
|
| 238 |
+
add('random', rows)
|
| 239 |
+
elif family == 'incident':
|
| 240 |
+
window, threshold = config['WINDOW'], config['THRESHOLD']
|
| 241 |
+
def event(i,t,u='u',ip='ip',outcome='failure'):
|
| 242 |
+
return dict(id=str(i),time=t,user=u,ip=ip,outcome=outcome)
|
| 243 |
+
add('empty', [])
|
| 244 |
+
add('boundary', [event(i,0 if i==0 else window) for i in range(threshold)])
|
| 245 |
+
add('ties', [event('s',0,outcome='success')]+[event(i,0) for i in range(threshold)]+[event(f'later{i}',1) for i in range(threshold)])
|
| 246 |
+
add('reset_scope', [event(i,0,'a') for i in range(threshold-1)]+[event('s',1,'b',outcome='success'),event('last',2,'a')])
|
| 247 |
+
add('dedup', [event('dup',0)]*threshold)
|
| 248 |
+
for i in range(30):
|
| 249 |
+
rows=[event(j,rng.randint(0,window*3),rng.choice('ab'),rng.choice(['ip1','ip2']),rng.choice(['failure']*5+['success'])) for j in range(45)]
|
| 250 |
+
rows.extend(copy.deepcopy(rows[:5]))
|
| 251 |
+
rng.shuffle(rows)
|
| 252 |
+
add('random', rows)
|
| 253 |
+
elif family == 'sensor':
|
| 254 |
+
names=list(config['CALIBRATIONS'])
|
| 255 |
+
def reading(s,t,v,valid=True):
|
| 256 |
+
return dict(sensor=s,time=t,value=v,valid=valid)
|
| 257 |
+
add('empty', [])
|
| 258 |
+
add('dedup', [reading(names[0],1,0),reading(names[0],1,9),reading(names[0],1,100,False)])
|
| 259 |
+
add('convert', [reading(names[1],2,3)])
|
| 260 |
+
add('median', [reading(names[0],3,0),reading(names[1],3,10)])
|
| 261 |
+
add('invalid', [reading(names[0],4,5,False)])
|
| 262 |
+
for i in range(30):
|
| 263 |
+
add('random', [reading(rng.choice(names),rng.randint(0,6),rng.randint(-10,20),rng.random()>.2) for _ in range(25)])
|
| 264 |
+
else:
|
| 265 |
+
add('empty', csv_text([]),csv_text([]))
|
| 266 |
+
add('quoting',csv_text([('a,b','1.25','debit'),('a\nline','2','debit')]),csv_text([]))
|
| 267 |
+
add('unicode',csv_text([(' Straße ','3','debit')]),csv_text([('STRASSE','3','debit')]))
|
| 268 |
+
add('sign',csv_text([('x','0.1','credit'),('x','0.2','debit')]),csv_text([('x','0.1','debit')]))
|
| 269 |
+
add('exact',csv_text([('x','0.1','debit'),('x','0.2','debit')]),csv_text([('x','0.3','debit')]))
|
| 270 |
+
keys = [' Alpha ','ALPHA','beta','Straße','STRASSE','a,b','a\nline','"quote"']
|
| 271 |
+
for i in range(30):
|
| 272 |
+
pair=[]
|
| 273 |
+
for side in range(2):
|
| 274 |
+
pair.append(csv_text([(rng.choice(keys),f'{rng.randint(-1000,1000)/100:.2f}',rng.choice(['debit','credit'])) for _ in range(rng.randint(1,20))]))
|
| 275 |
+
add('random',*pair)
|
| 276 |
+
return out
|
| 277 |
+
|
| 278 |
+
def make_task(task_id, seed=0):
|
| 279 |
+
if task_id not in TASK_IDS:
|
| 280 |
+
raise ValueError('Unknown task_id')
|
| 281 |
+
family, level_text = task_id.rsplit('-',1)
|
| 282 |
+
level = int(level_text)
|
| 283 |
+
rng = random.Random(f'v3/{task_id}/{seed}')
|
| 284 |
+
config = {'FEE':rng.randint(1,7), 'LIMIT':rng.randint(2,8), 'WINDOW':rng.randint(5,20),
|
| 285 |
+
'THRESHOLD':rng.randint(2,4), 'CALIBRATIONS':{'s0':[1,0],'s1':[rng.randint(2,4),rng.randint(1,5)],'s2':[-1,3]}}
|
| 286 |
+
instruction, modules, defects = (HARD_SPECS if family in HARD_SPECS else SPECS)[family]
|
| 287 |
+
solution = dict(modules)
|
| 288 |
+
# Rotating subsets avoid a fixed easy starter for the lower levels.
|
| 289 |
+
chosen = rng.sample(defects,level)
|
| 290 |
+
starter = dict(solution)
|
| 291 |
+
for path, before, after in chosen:
|
| 292 |
+
assert before in starter[path], (family,path,before)
|
| 293 |
+
starter[path] = starter[path].replace(before,after)
|
| 294 |
+
settings = '\n'.join(f'{k} = {v!r}' for k,v in config.items())+'\n'
|
| 295 |
+
starter['settings.py'] = solution['settings.py'] = settings
|
| 296 |
+
all_cases = hard_cases(family,rng) if family in HARD_SPECS else cases(family,rng,config)
|
| 297 |
+
if family=='ledger': extra=[config['FEE']]
|
| 298 |
+
elif family=='capacity': extra=[config['LIMIT']]
|
| 299 |
+
elif family=='incident': extra=[config['WINDOW'],config['THRESHOLD']]
|
| 300 |
+
elif family=='sensor': extra=[config['CALIBRATIONS'],config['THRESHOLD']]
|
| 301 |
+
else: extra=[]
|
| 302 |
+
for c in all_cases:
|
| 303 |
+
reference = {'allocation':allocation_ref,'expression':expression_ref}.get(family) or REFERENCES[family]
|
| 304 |
+
c['expected'] = reference(*copy.deepcopy(c['args']),*extra)
|
| 305 |
+
visible = [copy.deepcopy(all_cases[i]) for i in (0,1,len(all_cases)-1)]
|
| 306 |
+
# Disjoint random held-outs; edge groups may share semantic shapes, not random payloads.
|
| 307 |
+
hidden = all_cases[:-1]
|
| 308 |
+
prompt = instruction + '\nRuntime constants are in settings.py. There are multiple modules; main.solve is the entry point. Repair any necessary files. Imports may use these local modules or csv, io, fractions. No filesystem/network/process access. Use read/write/test/submit; test exposes only public examples; submit runs hidden checks. Maximum 30 actions. Fresh data and defect combinations depend on reset seed.'
|
| 309 |
+
return Task(task_id,seed,prompt,starter,solution,visible,hidden,[p for p,_,_ in chosen])
|
components/math/ADAPTATIONS.txt
CHANGED
|
@@ -1,3 +1,2 @@
|
|
| 1 |
-
|
| 2 |
-
Reset restores the
|
| 3 |
-
Episode transport: a persistent WebSocket connection at /ws. HTTP reset and step are stateless SDK probes.
|
|
|
|
| 1 |
+
Actions: exec and finish. Workspace: /workdir. Input: instance.json. Output: answer.json. Persistent episode transport: /ws.
|
| 2 |
+
Reset restores the task input; finish invokes the original checker.
|
|
|
components/math/Dockerfile
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
FROM ghcr.io/bochencs/openenv-math@sha256:a68a875afe093fd2ca29c1d5f8a4465bba39da60262faddd4548e684befc161f
|
| 2 |
+
USER root
|
| 3 |
+
COPY config.json /opt/native-shell/config.json
|
| 4 |
+
COPY runtime/native_shell/backend.py /opt/native-shell/runtime/native_shell/backend.py
|
| 5 |
+
RUN rm -rf /opt/native-shell/tasks/construct-mc-ramsey-l4-s0 /opt/native-shell/tasks/construct-rlve-round-robin-scores-l3-s0 /opt/native-shell/tasks/construct-mc-social-golfers-l4-s0 && chmod 600 /opt/native-shell/config.json
|
components/math/FILE_ALLOWLIST.json
DELETED
|
@@ -1,603 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"component": "math",
|
| 3 |
-
"files": [
|
| 4 |
-
{
|
| 5 |
-
"path": "ADAPTATIONS.txt",
|
| 6 |
-
"sha256": "67afb4d3cf0def4023ec8a5320476a19e813d48fc4772a043e2ae991817928e3",
|
| 7 |
-
"bytes": 360,
|
| 8 |
-
"role": "adapter_documentation",
|
| 9 |
-
"parent_sha256": "15c3c4f106c052941f16970b3981ae9c9a7bbe4c913430bcac10edbc14e73151"
|
| 10 |
-
},
|
| 11 |
-
{
|
| 12 |
-
"path": "NOTICE.txt",
|
| 13 |
-
"sha256": "73b544ecebc5d10e34e72f187bfdccf8ad66c9df4c37b03eeca7323a12401248",
|
| 14 |
-
"bytes": 703,
|
| 15 |
-
"role": "license_and_attribution"
|
| 16 |
-
},
|
| 17 |
-
{
|
| 18 |
-
"path": "SDK_DEPENDENCIES.json",
|
| 19 |
-
"sha256": "a037cf3ce617aa3e0216bf5e0677d229679bfffdd30dba9057b58bb413c39732",
|
| 20 |
-
"bytes": 25904,
|
| 21 |
-
"role": "dependency_manifest"
|
| 22 |
-
},
|
| 23 |
-
{
|
| 24 |
-
"path": "SOURCE.json",
|
| 25 |
-
"sha256": "a91ceb6c6b39e532fbef753034f1979d2364672d9bb6a45395c946dd8208befd",
|
| 26 |
-
"bytes": 1081,
|
| 27 |
-
"role": "metadata"
|
| 28 |
-
},
|
| 29 |
-
{
|
| 30 |
-
"path": "TASKS.json",
|
| 31 |
-
"sha256": "fe67677e50ff773b044feb9122e26a4dbb1dc647a5c88ba9db0adf952167104a",
|
| 32 |
-
"bytes": 3905,
|
| 33 |
-
"role": "metadata",
|
| 34 |
-
"parent_sha256": "55358840bcbda8eb1efed14464392594a96390c781ff914756eea0acfbe36137"
|
| 35 |
-
},
|
| 36 |
-
{
|
| 37 |
-
"path": "config.json",
|
| 38 |
-
"sha256": "190f2c6c257c0cbc4cb6bfa2efe8e5fdca221b1c18b39aa70331781f2be79afa",
|
| 39 |
-
"bytes": 5968,
|
| 40 |
-
"role": "runtime_registry"
|
| 41 |
-
},
|
| 42 |
-
{
|
| 43 |
-
"path": "licenses/MathConstraint-LICENSE",
|
| 44 |
-
"sha256": "9e5f1b3c610b9c2da5c313bf81d577a7d1acec686bdb0384edefa6df0f90cd94",
|
| 45 |
-
"bytes": 18656,
|
| 46 |
-
"role": "license_and_attribution",
|
| 47 |
-
"source": {
|
| 48 |
-
"repo": "vireshpati/Math-Constraint",
|
| 49 |
-
"source_url": "https://github.com/vireshpati/Math-Constraint/blob/main/LICENSE",
|
| 50 |
-
"git_blob_sha": "4ea99c213c5c0c005ae4e80df8e52169d06896ec",
|
| 51 |
-
"license": {
|
| 52 |
-
"key": "cc-by-4.0",
|
| 53 |
-
"name": "Creative Commons Attribution 4.0 International",
|
| 54 |
-
"spdx_id": "CC-BY-4.0",
|
| 55 |
-
"url": "https://api.github.com/licenses/cc-by-4.0",
|
| 56 |
-
"node_id": "MDc6TGljZW5zZTI1"
|
| 57 |
-
},
|
| 58 |
-
"sha256": "9e5f1b3c610b9c2da5c313bf81d577a7d1acec686bdb0384edefa6df0f90cd94",
|
| 59 |
-
"retrieval_scope": "license text only; not a claim about the original generator revision"
|
| 60 |
-
}
|
| 61 |
-
},
|
| 62 |
-
{
|
| 63 |
-
"path": "licenses/RLVE-LICENSE",
|
| 64 |
-
"sha256": "10afac3400d1abccc7ec2322e07563a3e495c13ac39d3865564aa2e2423b398e",
|
| 65 |
-
"bytes": 1069,
|
| 66 |
-
"role": "license_and_attribution",
|
| 67 |
-
"source": {
|
| 68 |
-
"repo": "Zhiyuan-Zeng/RLVE",
|
| 69 |
-
"source_url": "https://github.com/Zhiyuan-Zeng/RLVE/blob/main/LICENSE",
|
| 70 |
-
"git_blob_sha": "5677eb6d02ee26cd27b6dce1cbfaa9676b1a2382",
|
| 71 |
-
"license": {
|
| 72 |
-
"key": "mit",
|
| 73 |
-
"name": "MIT License",
|
| 74 |
-
"spdx_id": "MIT",
|
| 75 |
-
"url": "https://api.github.com/licenses/mit",
|
| 76 |
-
"node_id": "MDc6TGljZW5zZTEz"
|
| 77 |
-
},
|
| 78 |
-
"sha256": "10afac3400d1abccc7ec2322e07563a3e495c13ac39d3865564aa2e2423b398e",
|
| 79 |
-
"retrieval_scope": "license text only; not a claim about the original generator revision"
|
| 80 |
-
}
|
| 81 |
-
},
|
| 82 |
-
{
|
| 83 |
-
"path": "licenses/UPSTREAM_COLLECTION_LICENSES.md",
|
| 84 |
-
"sha256": "200b2ce93f2a5b9671165f9aea3cc4d89db995352c1e1e3db6d418262b058516",
|
| 85 |
-
"bytes": 462,
|
| 86 |
-
"role": "license_and_attribution"
|
| 87 |
-
},
|
| 88 |
-
{
|
| 89 |
-
"path": "runtime/common/__init__.py",
|
| 90 |
-
"sha256": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",
|
| 91 |
-
"bytes": 1,
|
| 92 |
-
"role": "execution_adapter",
|
| 93 |
-
"parent_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
|
| 94 |
-
},
|
| 95 |
-
{
|
| 96 |
-
"path": "runtime/common/contracts.py",
|
| 97 |
-
"sha256": "b1e1429208e84aefc2422ee1d2400ad793c43cd5c0e8db213a3b669fe0947ce1",
|
| 98 |
-
"bytes": 1015,
|
| 99 |
-
"role": "execution_adapter",
|
| 100 |
-
"parent_sha256": "2df4ab6636056806069216ee52576ac979255cb895b49b0c72c3686f3d9c5ae2"
|
| 101 |
-
},
|
| 102 |
-
{
|
| 103 |
-
"path": "runtime/common/http_routes.py",
|
| 104 |
-
"sha256": "7263c04e9175faf66501ed9b2ac2f9a637557a8b1966d839fb9944eb01abac0e",
|
| 105 |
-
"bytes": 2380,
|
| 106 |
-
"role": "execution_adapter",
|
| 107 |
-
"parent_sha256": "2876ad9a5d35eeb0e1ebb40346e5d230d8326ac8280ec260459798cf7a4eee18"
|
| 108 |
-
},
|
| 109 |
-
{
|
| 110 |
-
"path": "runtime/common/models.py",
|
| 111 |
-
"sha256": "26e7a67537ce7ae34909b724243c37242b9c8055cbfe0c717179dac74347786a",
|
| 112 |
-
"bytes": 1815,
|
| 113 |
-
"role": "execution_adapter",
|
| 114 |
-
"parent_sha256": "9fa259555127367477c21ca27f0ee6ac4a49e5f5744ecd91bf23a3ea1d0ab07d"
|
| 115 |
-
},
|
| 116 |
-
{
|
| 117 |
-
"path": "runtime/native_shell/__init__.py",
|
| 118 |
-
"sha256": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",
|
| 119 |
-
"bytes": 1,
|
| 120 |
-
"role": "execution_adapter",
|
| 121 |
-
"parent_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
|
| 122 |
-
},
|
| 123 |
-
{
|
| 124 |
-
"path": "runtime/native_shell/actor_launcher.py",
|
| 125 |
-
"sha256": "80eb3b90287840668e72040dc55ba115bfc3f4251a25cb2b94af0ed3759dd6b3",
|
| 126 |
-
"bytes": 5012,
|
| 127 |
-
"role": "execution_adapter",
|
| 128 |
-
"parent_sha256": "254abfeedc1d69cf228f923b5b43452d820c8ba5889fd8595e322e19efc7a896"
|
| 129 |
-
},
|
| 130 |
-
{
|
| 131 |
-
"path": "runtime/native_shell/backend.py",
|
| 132 |
-
"sha256": "0b2d9a50ee5d97721a7ca24b728687a9bab474b33e788524118625ebc346ad0e",
|
| 133 |
-
"bytes": 13327,
|
| 134 |
-
"role": "execution_adapter",
|
| 135 |
-
"parent_sha256": "6cc693d7a384d6d76b8c99bfb6af2e5188c03aac81671cfec3414733fb98089a"
|
| 136 |
-
},
|
| 137 |
-
{
|
| 138 |
-
"path": "runtime/native_shell/environment.py",
|
| 139 |
-
"sha256": "cfe9ed6c11b9da324f5e752ffbf1d8ca5c074120f6067dd01d99590e568adf53",
|
| 140 |
-
"bytes": 1616,
|
| 141 |
-
"role": "execution_adapter",
|
| 142 |
-
"parent_sha256": "1c1ded0928c4757a87696f818cf9004a29e55f992495ffa0aacde9112dad7fea"
|
| 143 |
-
},
|
| 144 |
-
{
|
| 145 |
-
"path": "runtime/native_shell/guard.py",
|
| 146 |
-
"sha256": "31adf40fa408c39a70fd78882f10b472b8bae1a55efae89192f956001e6a423e",
|
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|
components/math/MANIFEST.json
DELETED
|
@@ -1,58 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"SOURCE.json": "a91ceb6c6b39e532fbef753034f1979d2364672d9bb6a45395c946dd8208befd",
|
| 3 |
-
"config.json": "190f2c6c257c0cbc4cb6bfa2efe8e5fdca221b1c18b39aa70331781f2be79afa",
|
| 4 |
-
"NOTICE.txt": "73b544ecebc5d10e34e72f187bfdccf8ad66c9df4c37b03eeca7323a12401248",
|
| 5 |
-
"SDK_DEPENDENCIES.json": "a037cf3ce617aa3e0216bf5e0677d229679bfffdd30dba9057b58bb413c39732",
|
| 6 |
-
"TASKS.json": "fe67677e50ff773b044feb9122e26a4dbb1dc647a5c88ba9db0adf952167104a",
|
| 7 |
-
"ADAPTATIONS.txt": "67afb4d3cf0def4023ec8a5320476a19e813d48fc4772a043e2ae991817928e3",
|
| 8 |
-
"FILE_ALLOWLIST.json": "f447268ed179fc7f665bc58d47fafa01816a052aed273b9a6175876e9eddf241",
|
| 9 |
-
"licenses/RLVE-LICENSE": "10afac3400d1abccc7ec2322e07563a3e495c13ac39d3865564aa2e2423b398e",
|
| 10 |
-
"licenses/MathConstraint-LICENSE": "9e5f1b3c610b9c2da5c313bf81d577a7d1acec686bdb0384edefa6df0f90cd94",
|
| 11 |
-
"licenses/UPSTREAM_COLLECTION_LICENSES.md": "200b2ce93f2a5b9671165f9aea3cc4d89db995352c1e1e3db6d418262b058516",
|
| 12 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/instruction.md": "db8d002ee820a699d6b7b819cb88ed583990529649255af446c22c98889ad370",
|
| 13 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/task.toml": "d42f4225ae8850e6abe3e1b612b0da6f2e896322a3e9e00e6addb988a8f8332a",
|
| 14 |
-
"upstream/construct-mc-costas-array-l3-s0/instruction.md": "88e4a26e71d8483fbc89627210e4ed07f6dfef0fb16ce3e6d31e84a04bd050f9",
|
| 15 |
-
"upstream/construct-mc-costas-array-l3-s0/task.toml": "b62ba527da418f1b84d165707ea56ea805953289b0993cc3176e988ef59c3d32",
|
| 16 |
-
"upstream/construct-mc-social-golfers-l4-s0/instruction.md": "a638ef887b79167571086549b8d9438447d07b800772aac868b3e9a2e6899cd2",
|
| 17 |
-
"upstream/construct-mc-social-golfers-l4-s0/task.toml": "fb08db6bba18360321c1ac959d0af5f655435579d5cb88864d924897254c7546",
|
| 18 |
-
"upstream/construct-mc-ramsey-l4-s0/instruction.md": "dacf1d28faa912ac766cb9a8859b9a2d08940d2c52a9f8460c85ce0595a16c81",
|
| 19 |
-
"upstream/construct-mc-ramsey-l4-s0/task.toml": "d2ea623dfdf1ab4864399d4231f17b7c6800cc73e1ad9d1c583816d149dca377",
|
| 20 |
-
"upstream/construct-mc-ramsey-l4-s0/tests/run.py": "d364958443f46cf3ebb71808afc270e23203f62550246eb5008a847a8701bd73",
|
| 21 |
-
"upstream/construct-mc-ramsey-l4-s0/tests/check.py": "923f9e1258610a3cc3d5c2984b1855ed7341af13bc7592ff42aed0e0f91fc74d",
|
| 22 |
-
"upstream/construct-mc-ramsey-l4-s0/tests/instance.json": "9c2fb12f3e08390c54d4ec516860f404fee82ff0c9d1fdc952364965b6307b92",
|
| 23 |
-
"upstream/construct-mc-ramsey-l4-s0/tests/test.sh": "a35b815edf35d07fee8b5b341be2af0539010888f73ce39a0c15f025367eae3e",
|
| 24 |
-
"upstream/construct-mc-ramsey-l4-s0/environment/Dockerfile": "56b0b880643a6915bad1e66b9d127578e69853f00a5e198ddfdf3d72a490fa1c",
|
| 25 |
-
"upstream/construct-mc-ramsey-l4-s0/environment/instance.json": "9c2fb12f3e08390c54d4ec516860f404fee82ff0c9d1fdc952364965b6307b92",
|
| 26 |
-
"upstream/construct-mc-social-golfers-l4-s0/tests/run.py": "d364958443f46cf3ebb71808afc270e23203f62550246eb5008a847a8701bd73",
|
| 27 |
-
"upstream/construct-mc-social-golfers-l4-s0/tests/check.py": "9514518058e308fc2ae0ec0b8ce8a50993d5dfa09708ac9c3609e1edbbae126a",
|
| 28 |
-
"upstream/construct-mc-social-golfers-l4-s0/tests/instance.json": "cb27969d6fe8e38fac137b603f5e86da8b5f66023bc8288c6476e1b8881bfe73",
|
| 29 |
-
"upstream/construct-mc-social-golfers-l4-s0/tests/test.sh": "a35b815edf35d07fee8b5b341be2af0539010888f73ce39a0c15f025367eae3e",
|
| 30 |
-
"upstream/construct-mc-social-golfers-l4-s0/environment/Dockerfile": "56b0b880643a6915bad1e66b9d127578e69853f00a5e198ddfdf3d72a490fa1c",
|
| 31 |
-
"upstream/construct-mc-social-golfers-l4-s0/environment/instance.json": "cb27969d6fe8e38fac137b603f5e86da8b5f66023bc8288c6476e1b8881bfe73",
|
| 32 |
-
"upstream/construct-mc-costas-array-l3-s0/tests/run.py": "d364958443f46cf3ebb71808afc270e23203f62550246eb5008a847a8701bd73",
|
| 33 |
-
"upstream/construct-mc-costas-array-l3-s0/tests/check.py": "3c0290e35201f077926099989cd0e82c10bf091cb33c572cacc02bca075debdb",
|
| 34 |
-
"upstream/construct-mc-costas-array-l3-s0/tests/instance.json": "15a02495c009c52f7cbc0f2c1daa95e0a4d0981026e123b83aaa892565fd68b5",
|
| 35 |
-
"upstream/construct-mc-costas-array-l3-s0/tests/test.sh": "a35b815edf35d07fee8b5b341be2af0539010888f73ce39a0c15f025367eae3e",
|
| 36 |
-
"upstream/construct-mc-costas-array-l3-s0/environment/Dockerfile": "56b0b880643a6915bad1e66b9d127578e69853f00a5e198ddfdf3d72a490fa1c",
|
| 37 |
-
"upstream/construct-mc-costas-array-l3-s0/environment/instance.json": "15a02495c009c52f7cbc0f2c1daa95e0a4d0981026e123b83aaa892565fd68b5",
|
| 38 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/tests/run.py": "d364958443f46cf3ebb71808afc270e23203f62550246eb5008a847a8701bd73",
|
| 39 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/tests/check.py": "930cd10836482427303a497cfa896934ccdc24116879eaa4c5d32a572d01353c",
|
| 40 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/tests/instance.json": "b8c26f77936e8e23c97ff9488800c364a5c1b8663a93d508500dcde958a4721a",
|
| 41 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/tests/test.sh": "a35b815edf35d07fee8b5b341be2af0539010888f73ce39a0c15f025367eae3e",
|
| 42 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/environment/Dockerfile": "56b0b880643a6915bad1e66b9d127578e69853f00a5e198ddfdf3d72a490fa1c",
|
| 43 |
-
"upstream/construct-rlve-round-robin-scores-l3-s0/environment/instance.json": "b8c26f77936e8e23c97ff9488800c364a5c1b8663a93d508500dcde958a4721a",
|
| 44 |
-
"runtime/native_shell/server.py": "c8bb079f359fe4ac6c1764cbf47fdcfaa3f3caee35ff6c41e845bee3e965d454",
|
| 45 |
-
"runtime/native_shell/backend.py": "0b2d9a50ee5d97721a7ca24b728687a9bab474b33e788524118625ebc346ad0e",
|
| 46 |
-
"runtime/native_shell/launch_service.py": "db4dc3e27abe2dc45cc29b534882975aa9ea8e5b8ebedb67c943fad83810805b",
|
| 47 |
-
"runtime/native_shell/wire_client.py": "b8b67cfcd0115be0bcd984543e962adebe2528dc2cd18324e032d155563220af",
|
| 48 |
-
"runtime/native_shell/__init__.py": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",
|
| 49 |
-
"runtime/native_shell/verifier_launcher.py": "6934b8fa5117549cb5ba30a1e6ebbd00df2bf4191ba10765473d05a3fd346465",
|
| 50 |
-
"runtime/native_shell/environment.py": "cfe9ed6c11b9da324f5e752ffbf1d8ca5c074120f6067dd01d99590e568adf53",
|
| 51 |
-
"runtime/native_shell/guard.py": "31adf40fa408c39a70fd78882f10b472b8bae1a55efae89192f956001e6a423e",
|
| 52 |
-
"runtime/native_shell/actor_launcher.py": "80eb3b90287840668e72040dc55ba115bfc3f4251a25cb2b94af0ed3759dd6b3",
|
| 53 |
-
"runtime/common/models.py": "26e7a67537ce7ae34909b724243c37242b9c8055cbfe0c717179dac74347786a",
|
| 54 |
-
"runtime/common/__init__.py": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",
|
| 55 |
-
"runtime/common/http_routes.py": "7263c04e9175faf66501ed9b2ac2f9a637557a8b1966d839fb9944eb01abac0e",
|
| 56 |
-
"runtime/common/contracts.py": "b1e1429208e84aefc2422ee1d2400ad793c43cd5c0e8db213a3b669fe0947ce1",
|
| 57 |
-
"runtime/native_shell/process_scope.py": "1401916b276c6a19805b8bf405d11ffb014794c59a1eda55a91fa2edf06a0e7e"
|
| 58 |
-
}
|
|
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|
|
components/math/NOTICE.txt
CHANGED
|
@@ -1,5 +1,3 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
Tournament score realisation originates in RLVE-Gym by Zhiyuan Zeng and contributors, https://github.com/Zhiyuan-Zeng/RLVE, MIT. Original copyright notices are preserved in licenses/.
|
| 5 |
-
The Harbor publisher adapted upstream checkers; we preserve that published version byte for byte. Our adaptation is limited to the OpenEnv interface and isolated execution.
|
|
|
|
| 1 |
+
Costas array task published by amphora; immutable revision in SOURCE.json.
|
| 2 |
+
Original source: MathConstraint by Viresh Pati and contributors, https://github.com/vireshpati/Math-Constraint. License: CC BY 4.0.
|
| 3 |
+
The original prompt, instance and checker are preserved. OpenEnv transport and isolated execution are local adaptations.
|
|
|
|
|
|
components/math/SOURCE.json
CHANGED
|
@@ -7,22 +7,14 @@
|
|
| 7 |
"task_id": "construct-mc-costas-array-l3-s0",
|
| 8 |
"source": "MathConstraint",
|
| 9 |
"license": "CC-BY-4.0"
|
| 10 |
-
},
|
| 11 |
-
{
|
| 12 |
-
"task_id": "construct-mc-ramsey-l4-s0",
|
| 13 |
-
"source": "MathConstraint",
|
| 14 |
-
"license": "CC-BY-4.0"
|
| 15 |
-
},
|
| 16 |
-
{
|
| 17 |
-
"task_id": "construct-rlve-round-robin-scores-l3-s0",
|
| 18 |
-
"source": "RLVE-Gym/round_robin",
|
| 19 |
-
"license": "MIT"
|
| 20 |
-
},
|
| 21 |
-
{
|
| 22 |
-
"task_id": "construct-mc-social-golfers-l4-s0",
|
| 23 |
-
"source": "MathConstraint",
|
| 24 |
-
"license": "CC-BY-4.0"
|
| 25 |
}
|
| 26 |
],
|
| 27 |
-
"adaptation": "Original prompts, instances and checker files unchanged. Shared OpenEnv action/observation and isolated shell execution added. Original task workspace and no-network policy preserved. Upstream solution scripts omitted from runtime and this source component."
|
| 28 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
"task_id": "construct-mc-costas-array-l3-s0",
|
| 8 |
"source": "MathConstraint",
|
| 9 |
"license": "CC-BY-4.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
}
|
| 11 |
],
|
| 12 |
+
"adaptation": "Original prompts, instances and checker files unchanged. Shared OpenEnv action/observation and isolated shell execution added. Original task workspace and no-network policy preserved. Upstream solution scripts omitted from runtime and this source component.",
|
| 13 |
+
"inventory": "../../SOURCE_LOCK.json",
|
| 14 |
+
"execution_limits": {
|
| 15 |
+
"commands": 64,
|
| 16 |
+
"command_timeout_seconds": 90,
|
| 17 |
+
"verifier_timeout_cap_seconds": 90,
|
| 18 |
+
"finish_after_command_budget": "separate_request"
|
| 19 |
+
}
|
| 20 |
+
}
|
components/math/TASKS.json
CHANGED
|
@@ -2,7 +2,6 @@
|
|
| 2 |
"tasks": [
|
| 3 |
{
|
| 4 |
"task_id": "construct-mc-costas-array-l3-s0",
|
| 5 |
-
"selection": "primary_candidate",
|
| 6 |
"interface": {
|
| 7 |
"operations": [
|
| 8 |
"exec",
|
|
@@ -11,13 +10,16 @@
|
|
| 11 |
"workspace": "/workdir",
|
| 12 |
"input": "/workdir/instance.json",
|
| 13 |
"output": "/workdir/answer.json",
|
| 14 |
-
"network": false
|
|
|
|
| 15 |
},
|
| 16 |
"resources": {
|
| 17 |
"cpus": 2,
|
| 18 |
"memory_mb": 4096,
|
| 19 |
"agent_timeout_sec": 900.0,
|
| 20 |
-
"verifier_timeout_sec":
|
|
|
|
|
|
|
| 21 |
},
|
| 22 |
"source": {
|
| 23 |
"repo": "amphora/MathConstructOptimize-Envs-harbor",
|
|
@@ -26,94 +28,14 @@
|
|
| 26 |
"original_family": "MathConstraint/costas_array",
|
| 27 |
"license": "CC-BY-4.0"
|
| 28 |
},
|
| 29 |
-
"
|
| 30 |
-
},
|
| 31 |
-
{
|
| 32 |
-
"task_id": "construct-mc-ramsey-l4-s0",
|
| 33 |
-
"selection": "primary_candidate",
|
| 34 |
-
"interface": {
|
| 35 |
-
"operations": [
|
| 36 |
-
"exec",
|
| 37 |
-
"finish"
|
| 38 |
-
],
|
| 39 |
-
"workspace": "/workdir",
|
| 40 |
-
"input": "/workdir/instance.json",
|
| 41 |
-
"output": "/workdir/answer.json",
|
| 42 |
-
"network": false
|
| 43 |
-
},
|
| 44 |
-
"resources": {
|
| 45 |
"cpus": 2,
|
| 46 |
"memory_mb": 4096,
|
| 47 |
"agent_timeout_sec": 900.0,
|
| 48 |
"verifier_timeout_sec": 300.0
|
| 49 |
-
}
|
| 50 |
-
"source": {
|
| 51 |
-
"repo": "amphora/MathConstructOptimize-Envs-harbor",
|
| 52 |
-
"revision": "66cd5c87d51113c76faaef1b05397f1a6282a0f7",
|
| 53 |
-
"path": "tasks/construct-mc-ramsey-l4-s0",
|
| 54 |
-
"original_family": "MathConstraint/ramsey",
|
| 55 |
-
"license": "CC-BY-4.0"
|
| 56 |
-
},
|
| 57 |
-
"model_evidence": "No valid target-model calibration for this exact task; original-checker and actual wire CPU controls only."
|
| 58 |
-
},
|
| 59 |
-
{
|
| 60 |
-
"task_id": "construct-rlve-round-robin-scores-l3-s0",
|
| 61 |
-
"selection": "available_not_selected",
|
| 62 |
-
"interface": {
|
| 63 |
-
"operations": [
|
| 64 |
-
"exec",
|
| 65 |
-
"finish"
|
| 66 |
-
],
|
| 67 |
-
"workspace": "/workdir",
|
| 68 |
-
"input": "/workdir/instance.json",
|
| 69 |
-
"output": "/workdir/answer.json",
|
| 70 |
-
"network": false
|
| 71 |
-
},
|
| 72 |
-
"resources": {
|
| 73 |
-
"cpus": 2,
|
| 74 |
-
"memory_mb": 4096,
|
| 75 |
-
"agent_timeout_sec": 900.0,
|
| 76 |
-
"verifier_timeout_sec": 300.0
|
| 77 |
-
},
|
| 78 |
-
"source": {
|
| 79 |
-
"repo": "amphora/MathConstructOptimize-Envs-harbor",
|
| 80 |
-
"revision": "66cd5c87d51113c76faaef1b05397f1a6282a0f7",
|
| 81 |
-
"path": "tasks/construct-rlve-round-robin-scores-l3-s0",
|
| 82 |
-
"original_family": "RLVE-Gym/round_robin",
|
| 83 |
-
"license": "MIT"
|
| 84 |
-
},
|
| 85 |
-
"model_evidence": "No valid target-model calibration for this exact task; original-checker and actual wire CPU controls only."
|
| 86 |
-
},
|
| 87 |
-
{
|
| 88 |
-
"task_id": "construct-mc-social-golfers-l4-s0",
|
| 89 |
-
"selection": "primary_candidate",
|
| 90 |
-
"interface": {
|
| 91 |
-
"operations": [
|
| 92 |
-
"exec",
|
| 93 |
-
"finish"
|
| 94 |
-
],
|
| 95 |
-
"workspace": "/workdir",
|
| 96 |
-
"input": "/workdir/instance.json",
|
| 97 |
-
"output": "/workdir/answer.json",
|
| 98 |
-
"network": false
|
| 99 |
-
},
|
| 100 |
-
"resources": {
|
| 101 |
-
"cpus": 2,
|
| 102 |
-
"memory_mb": 4096,
|
| 103 |
-
"agent_timeout_sec": 900.0,
|
| 104 |
-
"verifier_timeout_sec": 300.0
|
| 105 |
-
},
|
| 106 |
-
"source": {
|
| 107 |
-
"repo": "amphora/MathConstructOptimize-Envs-harbor",
|
| 108 |
-
"revision": "66cd5c87d51113c76faaef1b05397f1a6282a0f7",
|
| 109 |
-
"path": "tasks/construct-mc-social-golfers-l4-s0",
|
| 110 |
-
"original_family": "MathConstraint/social_golfers",
|
| 111 |
-
"license": "CC-BY-4.0"
|
| 112 |
-
},
|
| 113 |
-
"model_evidence": "No valid target-model calibration for this exact task; original-checker and actual wire CPU controls only."
|
| 114 |
}
|
| 115 |
],
|
| 116 |
"schema_sha256": "10993deaaa8553929fa0b3b6bf3c1ad100baaaf9ff10ae8ed139a8ec4279a3c4",
|
| 117 |
-
"image_task_count":
|
| 118 |
-
"selection_is_not_automatically_all_available_tasks": true
|
| 119 |
}
|
|
|
|
| 2 |
"tasks": [
|
| 3 |
{
|
| 4 |
"task_id": "construct-mc-costas-array-l3-s0",
|
|
|
|
| 5 |
"interface": {
|
| 6 |
"operations": [
|
| 7 |
"exec",
|
|
|
|
| 10 |
"workspace": "/workdir",
|
| 11 |
"input": "/workdir/instance.json",
|
| 12 |
"output": "/workdir/answer.json",
|
| 13 |
+
"network": false,
|
| 14 |
+
"finish_after_command_budget": "separate_request"
|
| 15 |
},
|
| 16 |
"resources": {
|
| 17 |
"cpus": 2,
|
| 18 |
"memory_mb": 4096,
|
| 19 |
"agent_timeout_sec": 900.0,
|
| 20 |
+
"verifier_timeout_sec": 90,
|
| 21 |
+
"command_timeout_sec": 90,
|
| 22 |
+
"max_commands": 64
|
| 23 |
},
|
| 24 |
"source": {
|
| 25 |
"repo": "amphora/MathConstructOptimize-Envs-harbor",
|
|
|
|
| 28 |
"original_family": "MathConstraint/costas_array",
|
| 29 |
"license": "CC-BY-4.0"
|
| 30 |
},
|
| 31 |
+
"original_limits": {
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
"cpus": 2,
|
| 33 |
"memory_mb": 4096,
|
| 34 |
"agent_timeout_sec": 900.0,
|
| 35 |
"verifier_timeout_sec": 300.0
|
| 36 |
+
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
}
|
| 38 |
],
|
| 39 |
"schema_sha256": "10993deaaa8553929fa0b3b6bf3c1ad100baaaf9ff10ae8ed139a8ec4279a3c4",
|
| 40 |
+
"image_task_count": 1
|
|
|
|
| 41 |
}
|
components/math/config.json
CHANGED
|
@@ -34,111 +34,6 @@
|
|
| 34 |
"pristine_sha256": {
|
| 35 |
"instance.json": "15a02495c009c52f7cbc0f2c1daa95e0a4d0981026e123b83aaa892565fd68b5"
|
| 36 |
}
|
| 37 |
-
},
|
| 38 |
-
{
|
| 39 |
-
"id": "construct-mc-ramsey-l4-s0",
|
| 40 |
-
"source": "/opt/native-shell/tasks/construct-mc-ramsey-l4-s0/source",
|
| 41 |
-
"pristine_workspace": "/opt/native-shell/tasks/construct-mc-ramsey-l4-s0/pristine",
|
| 42 |
-
"workspace": "/workdir",
|
| 43 |
-
"inputs": [
|
| 44 |
-
"/workdir/instance.json"
|
| 45 |
-
],
|
| 46 |
-
"outputs": [
|
| 47 |
-
"/workdir/answer.json"
|
| 48 |
-
],
|
| 49 |
-
"editable": [],
|
| 50 |
-
"grading_mode": "file-output",
|
| 51 |
-
"grader": {
|
| 52 |
-
"kind": "original-shell",
|
| 53 |
-
"script": "test.sh",
|
| 54 |
-
"executes_learner_code": false
|
| 55 |
-
},
|
| 56 |
-
"python": "/usr/local/bin/python3",
|
| 57 |
-
"cpus": 2,
|
| 58 |
-
"memory_mb": 4096,
|
| 59 |
-
"agent_timeout_sec": 900.0,
|
| 60 |
-
"verifier_timeout_sec": 300.0,
|
| 61 |
-
"source_sha256": {
|
| 62 |
-
"task.toml": "d2ea623dfdf1ab4864399d4231f17b7c6800cc73e1ad9d1c583816d149dca377",
|
| 63 |
-
"instruction.md": "dacf1d28faa912ac766cb9a8859b9a2d08940d2c52a9f8460c85ce0595a16c81",
|
| 64 |
-
"tests/run.py": "d364958443f46cf3ebb71808afc270e23203f62550246eb5008a847a8701bd73",
|
| 65 |
-
"tests/check.py": "923f9e1258610a3cc3d5c2984b1855ed7341af13bc7592ff42aed0e0f91fc74d",
|
| 66 |
-
"tests/test.sh": "a35b815edf35d07fee8b5b341be2af0539010888f73ce39a0c15f025367eae3e",
|
| 67 |
-
"tests/instance.json": "9c2fb12f3e08390c54d4ec516860f404fee82ff0c9d1fdc952364965b6307b92"
|
| 68 |
-
},
|
| 69 |
-
"pristine_sha256": {
|
| 70 |
-
"instance.json": "9c2fb12f3e08390c54d4ec516860f404fee82ff0c9d1fdc952364965b6307b92"
|
| 71 |
-
}
|
| 72 |
-
},
|
| 73 |
-
{
|
| 74 |
-
"id": "construct-rlve-round-robin-scores-l3-s0",
|
| 75 |
-
"source": "/opt/native-shell/tasks/construct-rlve-round-robin-scores-l3-s0/source",
|
| 76 |
-
"pristine_workspace": "/opt/native-shell/tasks/construct-rlve-round-robin-scores-l3-s0/pristine",
|
| 77 |
-
"workspace": "/workdir",
|
| 78 |
-
"inputs": [
|
| 79 |
-
"/workdir/instance.json"
|
| 80 |
-
],
|
| 81 |
-
"outputs": [
|
| 82 |
-
"/workdir/answer.json"
|
| 83 |
-
],
|
| 84 |
-
"editable": [],
|
| 85 |
-
"grading_mode": "file-output",
|
| 86 |
-
"grader": {
|
| 87 |
-
"kind": "original-shell",
|
| 88 |
-
"script": "test.sh",
|
| 89 |
-
"executes_learner_code": false
|
| 90 |
-
},
|
| 91 |
-
"python": "/usr/local/bin/python3",
|
| 92 |
-
"cpus": 2,
|
| 93 |
-
"memory_mb": 4096,
|
| 94 |
-
"agent_timeout_sec": 900.0,
|
| 95 |
-
"verifier_timeout_sec": 300.0,
|
| 96 |
-
"source_sha256": {
|
| 97 |
-
"task.toml": "d42f4225ae8850e6abe3e1b612b0da6f2e896322a3e9e00e6addb988a8f8332a",
|
| 98 |
-
"instruction.md": "db8d002ee820a699d6b7b819cb88ed583990529649255af446c22c98889ad370",
|
| 99 |
-
"tests/run.py": "d364958443f46cf3ebb71808afc270e23203f62550246eb5008a847a8701bd73",
|
| 100 |
-
"tests/check.py": "930cd10836482427303a497cfa896934ccdc24116879eaa4c5d32a572d01353c",
|
| 101 |
-
"tests/test.sh": "a35b815edf35d07fee8b5b341be2af0539010888f73ce39a0c15f025367eae3e",
|
| 102 |
-
"tests/instance.json": "b8c26f77936e8e23c97ff9488800c364a5c1b8663a93d508500dcde958a4721a"
|
| 103 |
-
},
|
| 104 |
-
"pristine_sha256": {
|
| 105 |
-
"instance.json": "b8c26f77936e8e23c97ff9488800c364a5c1b8663a93d508500dcde958a4721a"
|
| 106 |
-
}
|
| 107 |
-
},
|
| 108 |
-
{
|
| 109 |
-
"id": "construct-mc-social-golfers-l4-s0",
|
| 110 |
-
"source": "/opt/native-shell/tasks/construct-mc-social-golfers-l4-s0/source",
|
| 111 |
-
"pristine_workspace": "/opt/native-shell/tasks/construct-mc-social-golfers-l4-s0/pristine",
|
| 112 |
-
"workspace": "/workdir",
|
| 113 |
-
"inputs": [
|
| 114 |
-
"/workdir/instance.json"
|
| 115 |
-
],
|
| 116 |
-
"outputs": [
|
| 117 |
-
"/workdir/answer.json"
|
| 118 |
-
],
|
| 119 |
-
"editable": [],
|
| 120 |
-
"grading_mode": "file-output",
|
| 121 |
-
"grader": {
|
| 122 |
-
"kind": "original-shell",
|
| 123 |
-
"script": "test.sh",
|
| 124 |
-
"executes_learner_code": false
|
| 125 |
-
},
|
| 126 |
-
"python": "/usr/local/bin/python3",
|
| 127 |
-
"cpus": 2,
|
| 128 |
-
"memory_mb": 4096,
|
| 129 |
-
"agent_timeout_sec": 900.0,
|
| 130 |
-
"verifier_timeout_sec": 300.0,
|
| 131 |
-
"source_sha256": {
|
| 132 |
-
"task.toml": "fb08db6bba18360321c1ac959d0af5f655435579d5cb88864d924897254c7546",
|
| 133 |
-
"instruction.md": "a638ef887b79167571086549b8d9438447d07b800772aac868b3e9a2e6899cd2",
|
| 134 |
-
"tests/run.py": "d364958443f46cf3ebb71808afc270e23203f62550246eb5008a847a8701bd73",
|
| 135 |
-
"tests/check.py": "9514518058e308fc2ae0ec0b8ce8a50993d5dfa09708ac9c3609e1edbbae126a",
|
| 136 |
-
"tests/test.sh": "a35b815edf35d07fee8b5b341be2af0539010888f73ce39a0c15f025367eae3e",
|
| 137 |
-
"tests/instance.json": "cb27969d6fe8e38fac137b603f5e86da8b5f66023bc8288c6476e1b8881bfe73"
|
| 138 |
-
},
|
| 139 |
-
"pristine_sha256": {
|
| 140 |
-
"instance.json": "cb27969d6fe8e38fac137b603f5e86da8b5f66023bc8288c6476e1b8881bfe73"
|
| 141 |
-
}
|
| 142 |
}
|
| 143 |
],
|
| 144 |
"private_root": "/opt/native-shell/private",
|
|
|
|
| 34 |
"pristine_sha256": {
|
| 35 |
"instance.json": "15a02495c009c52f7cbc0f2c1daa95e0a4d0981026e123b83aaa892565fd68b5"
|
| 36 |
}
|
|
|
|
|
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| 37 |
}
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| 38 |
],
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| 39 |
"private_root": "/opt/native-shell/private",
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