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Task definitions for the Shopify Store Audit environment.
Tasks define difficulty parameters — issue count, step budget, hint level,
and which issue categories to sample from. The IssuePool handles actual
issue selection with optional random seeding.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Dict, List, Optional
@dataclass
class TaskConfig:
task_id: str
title: str
description: str
difficulty: str
max_steps: int
num_issues: int
hint_level: str = "full" # full | descriptions | summary
issue_categories: Optional[List[str]] = None
allow_regressions: bool = True
TASK_PRODUCT_QA = TaskConfig(
task_id="product_listing_qa",
title="Product Listing Quality Assurance",
description=(
"Audit a real Shopify store catalog loaded from product exports. "
"Find and fix 8 product data issues — missing descriptions, $0 prices, "
"absent SKUs, negative inventory, draft products. Use query_store_health "
"to see issues and their suggested commands, then apply fixes."
),
difficulty="easy",
max_steps=25,
num_issues=8,
hint_level="full",
issue_categories=["product", "inventory"],
allow_regressions=False,
)
TASK_SEO_COLLECTIONS = TaskConfig(
task_id="seo_collection_optimization",
title="SEO & Collection Optimization",
description=(
"The store's search visibility needs work. Fix 12 issues across SEO "
"metadata, image alt text, collection structure, and product tags. "
"query_store_health shows issue descriptions — you must figure out "
"which commands and parameters to use."
),
difficulty="medium",
max_steps=35,
num_issues=12,
hint_level="descriptions",
issue_categories=["seo", "collection", "product"],
)
TASK_FULL_AUDIT = TaskConfig(
task_id="full_store_audit",
title="Full Store Health Audit",
description=(
"Comprehensive audit: 20 issues across product data, SEO, inventory, "
"collections, and orders. query_store_health only shows category counts — "
"you must explore with query_products, query_inventory, query_orders etc. "
"to discover and diagnose issues yourself."
),
difficulty="hard",
max_steps=50,
num_issues=20,
hint_level="summary",
issue_categories=None,
)
ALL_TASKS: Dict[str, TaskConfig] = {
TASK_PRODUCT_QA.task_id: TASK_PRODUCT_QA,
TASK_SEO_COLLECTIONS.task_id: TASK_SEO_COLLECTIONS,
TASK_FULL_AUDIT.task_id: TASK_FULL_AUDIT,
}
DEFAULT_TASK = TASK_PRODUCT_QA.task_id
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