0f9c2a1cbd
- add backend README and refresh API map and smoke regression docs - add full backend smoke regression script - add admin pricing cleanup preview and dry-run endpoints - add helper script for test pricing cleanup - verify typed error contracts, draft flow, publish readiness and preview flows - verify publish preview retention and clean backend startup behavior
52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
from pydantic import BaseModel, Field
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class PricingCleanupPreviewItem(BaseModel):
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pricing_category_id: str
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name: str
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code: str
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rules_count: int = Field(ge=0)
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matched_by: list[str]
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deletable: bool
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class PricingCleanupPreviewResponse(BaseModel):
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scheme_id: str
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code_prefixes: list[str]
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name_prefixes: list[str]
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pricing_category_ids: list[str]
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delete_only_without_rules: bool
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total_candidates: int = Field(ge=0)
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safe_to_delete_count: int = Field(ge=0)
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items: list[PricingCleanupPreviewItem]
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class PricingCleanupExecuteRequest(BaseModel):
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code_prefixes: list[str] = Field(default_factory=list)
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name_prefixes: list[str] = Field(default_factory=list)
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pricing_category_ids: list[str] = Field(default_factory=list)
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delete_only_without_rules: bool = True
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dry_run: bool = True
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class PricingCleanupSkippedItem(BaseModel):
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pricing_category_id: str
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reason: str
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class PricingCleanupExecuteResponse(BaseModel):
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scheme_id: str
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dry_run: bool
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delete_only_without_rules: bool
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requested_total: int = Field(ge=0)
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matched_total: int = Field(ge=0)
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would_delete_count: int = Field(ge=0)
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deleted_count: int = Field(ge=0)
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skipped_count: int = Field(ge=0)
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would_delete_category_ids: list[str]
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deleted_category_ids: list[str]
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skipped: list[PricingCleanupSkippedItem]
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