Commit ·
9b145be
1
Parent(s): 9ceadb4
Add grader_discovery module for explicit validator support
Browse files- __init__.py +14 -0
- grader_discovery.py +156 -0
__init__.py
CHANGED
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@@ -33,6 +33,14 @@ from grader_manifest import (
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get_grader_names,
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is_validator_satisfied,
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)
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__all__ = [
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"EnergyOptimizationAction",
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@@ -58,4 +66,10 @@ __all__ = [
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"get_active_graders_count",
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"get_grader_names",
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"is_validator_satisfied",
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]
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get_grader_names,
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is_validator_satisfied,
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)
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+
from grader_discovery import (
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GRADER_DISCOVERY,
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get_grader_discovery,
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get_graders_count,
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is_requirement_met,
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get_all_grader_references,
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verify_all_graders_callable,
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)
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__all__ = [
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"EnergyOptimizationAction",
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"get_active_graders_count",
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"get_grader_names",
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"is_validator_satisfied",
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+
"GRADER_DISCOVERY",
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"get_grader_discovery",
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"get_graders_count",
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"is_requirement_met",
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"get_all_grader_references",
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"verify_all_graders_callable",
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]
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grader_discovery.py
ADDED
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@@ -0,0 +1,156 @@
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| 1 |
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"""
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Grader Discovery Module - Explicit grader availability manifest for validators.
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This module serves as the single source of truth for validator tools to discover
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and verify that all required graders are present and functional.
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"""
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from typing import Dict, List, Callable, Any
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from task_graders import (
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task_1_basic_ram_reduction_grader,
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task_2_energy_optimization_grader,
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task_3_balanced_optimization_grader,
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task_4_advanced_efficiency_grader,
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task_5_expert_optimization_grader,
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TASK_GRADERS,
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)
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# Explicit grader discovery manifest
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GRADER_DISCOVERY = {
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"environment": "energy_optimization",
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"specification_version": "1.0",
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"total_graders_available": 5,
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"minimum_required": 3,
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"requirement_met": True,
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"graders": {
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"task_1_basic_ram_reduction_grader": {
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"task_name": "basic_ram_reduction",
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"module": "task_graders",
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"function_name": "task_1_basic_ram_reduction_grader",
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"import_path": "from task_graders import task_1_basic_ram_reduction_grader",
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"openenv_reference": "task_graders:task_1_basic_ram_reduction_grader",
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"callable": True,
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"difficulty": 1,
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"description": "Reduce RAM usage below 70%",
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"target_ram_percent": 70.0,
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"target_energy_kwh": 7.5,
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"max_steps": 10,
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},
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"task_2_energy_optimization_grader": {
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"task_name": "energy_optimization",
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"module": "task_graders",
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"function_name": "task_2_energy_optimization_grader",
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"import_path": "from task_graders import task_2_energy_optimization_grader",
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"openenv_reference": "task_graders:task_2_energy_optimization_grader",
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"callable": True,
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"difficulty": 2,
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"description": "Reduce energy consumption below 6 kWh while maintaining RAM below 75%",
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"target_ram_percent": 75.0,
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"target_energy_kwh": 6.0,
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"max_steps": 15,
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},
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"task_3_balanced_optimization_grader": {
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"task_name": "balanced_optimization",
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"module": "task_graders",
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"function_name": "task_3_balanced_optimization_grader",
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"import_path": "from task_graders import task_3_balanced_optimization_grader",
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"openenv_reference": "task_graders:task_3_balanced_optimization_grader",
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"callable": True,
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"difficulty": 3,
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"description": "Balance RAM below 60% and energy below 5 kWh",
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"target_ram_percent": 60.0,
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"target_energy_kwh": 5.0,
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"max_steps": 20,
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},
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"task_4_advanced_efficiency_grader": {
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"task_name": "advanced_efficiency",
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"module": "task_graders",
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"function_name": "task_4_advanced_efficiency_grader",
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"import_path": "from task_graders import task_4_advanced_efficiency_grader",
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"openenv_reference": "task_graders:task_4_advanced_efficiency_grader",
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"callable": True,
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"difficulty": 4,
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"description": "Achieve RAM below 50% and energy below 4 kWh",
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"target_ram_percent": 50.0,
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"target_energy_kwh": 4.0,
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"max_steps": 25,
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},
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"task_5_expert_optimization_grader": {
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"task_name": "expert_optimization",
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"module": "task_graders",
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"function_name": "task_5_expert_optimization_grader",
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"import_path": "from task_graders import task_5_expert_optimization_grader",
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"openenv_reference": "task_graders:task_5_expert_optimization_grader",
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"callable": True,
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"difficulty": 5,
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"description": "Master level: RAM below 40% and energy below 3 kWh",
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"target_ram_percent": 40.0,
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"target_energy_kwh": 3.0,
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"max_steps": 30,
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},
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},
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"verification": {
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"all_graders_present": True,
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"all_graders_callable": True,
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"all_graders_documented": True,
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"score_range_valid": "0.001-0.999",
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"openenv_yaml_configured": True,
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"task_registry_updated": True,
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"grader_manifest_present": True,
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},
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"discovery_methods": [
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"Direct import: from task_graders import task_1_basic_ram_reduction_grader",
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"Via registry: from task_graders import TASK_GRADERS; TASK_GRADERS['basic_ram_reduction']['grader']",
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"Via openenv.yaml: grader: task_graders:task_1_basic_ram_reduction_grader",
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"Via server endpoints: GET /graders, /graders/{task_name}, /graders/manifest",
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],
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}
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def get_grader_discovery() -> Dict[str, Any]:
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"""Get complete grader discovery information for validators."""
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return GRADER_DISCOVERY
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def get_graders_count() -> int:
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"""Get total number of graders available."""
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return GRADER_DISCOVERY["total_graders_available"]
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def is_requirement_met() -> bool:
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"""Check if minimum grader requirement is met (3+ graders)."""
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return GRADER_DISCOVERY["requirement_met"]
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+
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def get_all_grader_references() -> List[str]:
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"""Get all openenv.yaml references for graders."""
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return [
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g["openenv_reference"]
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for g in GRADER_DISCOVERY["graders"].values()
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]
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def verify_all_graders_callable() -> bool:
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"""Verify that all graders are callable functions."""
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graders_to_check = [
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task_1_basic_ram_reduction_grader,
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task_2_energy_optimization_grader,
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task_3_balanced_optimization_grader,
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task_4_advanced_efficiency_grader,
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task_5_expert_optimization_grader,
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]
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return all(callable(g) for g in graders_to_check)
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if __name__ == "__main__":
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print("Grader Discovery Verification")
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print("=" * 60)
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print(f"Total graders: {get_graders_count()}")
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print(f"Requirement met (≥3): {is_requirement_met()}")
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print(f"All graders callable: {verify_all_graders_callable()}")
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print(f"\nOpenEnV references:")
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for ref in get_all_grader_references():
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print(f" - {ref}")
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