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Download runtime/contracts.py from G-ACE/astera-customerAI: direct link, hf CLI and curl.
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- Download file 3.07 kB
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https://huggingface.co/spaces/G-ACE/astera-customerAI/resolve/main/runtime/contracts.py
- Command line
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hf download hf://spaces/G-ACE/astera-customerAI/runtime/contracts.py
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curl -L -o contracts.py https://huggingface.co/spaces/G-ACE/astera-customerAI/resolve/main/runtime/contracts.py
3.07 kB
| from __future__ import annotations | |
| from enum import Enum | |
| from typing import Literal | |
| from pydantic import BaseModel, Field | |
| from .schemas import NeedTask | |
| class SearchMode(str, Enum): | |
| RUNTIME_GROUNDING = "runtime_grounding" | |
| KB_HARVEST = "kb_harvest" | |
| SKILL_SEARCH = "skill_search" | |
| class TaskContract(BaseModel): | |
| purpose: str | |
| target: str | |
| conditions: list[str] = Field(default_factory=list) | |
| constraints: list[str] = Field(default_factory=list) | |
| premises: list[str] = Field(default_factory=list) | |
| missing_information: list[str] = Field(default_factory=list) | |
| success_criteria: list[str] = Field(default_factory=list) | |
| need_tasks: list[NeedTask] = Field(default_factory=list) | |
| completion_conditions: list[str] = Field(default_factory=list) | |
| class NeedSearchPlan(BaseModel): | |
| task_id: str | |
| stable_need_id: str | None = None | |
| targets: list[str] = Field(default_factory=list) | |
| search_terms: list[str] = Field(default_factory=list) | |
| required_evidence: list[str] = Field(default_factory=list) | |
| reuse_fact_ids: list[str] = Field(default_factory=list) | |
| refresh_fact_ids: list[str] = Field(default_factory=list) | |
| invalidation_reasons: list[str] = Field(default_factory=list) | |
| class SearchPlan(BaseModel): | |
| targets: list[str] = Field(default_factory=list) | |
| search_terms: list[str] = Field(default_factory=list) | |
| required_evidence: list[str] = Field(default_factory=list) | |
| source_priority: list[str] = Field(default_factory=list) | |
| comparison_conditions: list[str] = Field(default_factory=list) | |
| verification_conditions: list[str] = Field(default_factory=list) | |
| unresolved_gaps: list[str] = Field(default_factory=list) | |
| need_plans: list[NeedSearchPlan] = Field(default_factory=list) | |
| mode: SearchMode | |
| class HarvestCandidate(BaseModel): | |
| statement: str | |
| source_uri: str | |
| issuer: str | None = None | |
| retrieved_at: str | |
| published_updated_effective_date: str | None = None | |
| supported_scope: list[str] = Field(default_factory=list) | |
| conditions: list[str] = Field(default_factory=list) | |
| exceptions: list[str] = Field(default_factory=list) | |
| counter_evidence: list[str] = Field(default_factory=list) | |
| retrieval_status: Literal["candidate", "conflict", "rejected"] = "candidate" | |
| unresolved_gaps: list[str] = Field(default_factory=list) | |
| canonical: bool = False | |
| class SkillValidationState(str, Enum): | |
| IMPORTED = "IMPORTED" | |
| SCHEMA_VALID = "SCHEMA_VALID" | |
| SYNTAX_VALID = "SYNTAX_VALID" | |
| DEPENDENCY_READY = "DEPENDENCY_READY" | |
| UNIT_TESTED = "UNIT_TESTED" | |
| SANDBOX_TESTED = "SANDBOX_TESTED" | |
| ACTIVE = "ACTIVE" | |
| class SkillDescriptor(BaseModel): | |
| skill_id: str | |
| name: str | |
| languages: list[str] | |
| capabilities: list[str] | |
| task_shapes: list[str] = Field(default_factory=list) | |
| capsule: str | |
| state: SkillValidationState = SkillValidationState.IMPORTED | |
| baseline: bool = False | |
| class CapabilityCapsule(BaseModel): | |
| skill_id: str | |
| text: str | |
| score: int | |
| capabilities: list[str] = Field(default_factory=list) | |