Samir Boulahtit
26b3dc9e3b
- Add validator_type field to scans and violations (architecture, security, performance) - Create security validator with SEC-xxx rules - Create performance validator with PERF-xxx rules - Add base validator class for shared functionality - Add validate_all.py script to run all validators - Update code quality service with validator type filtering - Add validator type tabs to dashboard UI - Add validator type filter to violations list - Update stats response with per-validator breakdown - Add security and performance rules documentation - Add chat-bubble icons to icon library 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
320 lines
9.6 KiB
Python
320 lines
9.6 KiB
Python
from datetime import datetime
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from decimal import Decimal
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from typing import Any
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from pydantic import BaseModel, Field
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class StatsResponse(BaseModel):
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"""Comprehensive platform statistics response schema."""
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total_products: int
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unique_brands: int
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unique_categories: int
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unique_marketplaces: int = 0
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unique_vendors: int = 0
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total_inventory_entries: int = 0
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total_inventory_quantity: int = 0
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class MarketplaceStatsResponse(BaseModel):
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"""Statistics per marketplace response schema."""
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marketplace: str
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total_products: int
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unique_vendors: int
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unique_brands: int
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# ============================================================================
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# Import Statistics
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# ============================================================================
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class ImportStatsResponse(BaseModel):
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"""Import job statistics response schema.
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Used by: GET /api/v1/admin/marketplace-import-jobs/stats
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"""
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total: int = Field(..., description="Total number of import jobs")
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pending: int = Field(..., description="Jobs waiting to start")
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processing: int = Field(..., description="Jobs currently running")
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completed: int = Field(..., description="Successfully completed jobs")
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failed: int = Field(..., description="Failed jobs")
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success_rate: float = Field(..., description="Percentage of successful imports")
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# ============================================================================
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# User Statistics
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# ============================================================================
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class UserStatsResponse(BaseModel):
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"""User statistics response schema.
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Used by: Platform statistics endpoints
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"""
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total_users: int = Field(..., description="Total number of users")
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active_users: int = Field(..., description="Number of active users")
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inactive_users: int = Field(..., description="Number of inactive users")
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admin_users: int = Field(..., description="Number of admin users")
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activation_rate: float = Field(..., description="Percentage of active users")
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# ============================================================================
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# Vendor Statistics (Admin)
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# ============================================================================
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class VendorStatsResponse(BaseModel):
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"""Vendor statistics response schema for admin dashboard.
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Used by: GET /api/v1/admin/vendors/stats
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"""
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total: int = Field(..., description="Total number of vendors")
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verified: int = Field(..., description="Number of verified vendors")
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pending: int = Field(..., description="Number of pending verification vendors")
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inactive: int = Field(..., description="Number of inactive vendors")
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# ============================================================================
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# Product Statistics
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# ============================================================================
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class ProductStatsResponse(BaseModel):
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"""Product statistics response schema.
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Used by: Platform statistics endpoints
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"""
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total_products: int = Field(0, description="Total number of products")
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active_products: int = Field(0, description="Number of active products")
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out_of_stock: int = Field(0, description="Number of out-of-stock products")
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# ============================================================================
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# Platform Statistics (Combined)
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# ============================================================================
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class PlatformStatsResponse(BaseModel):
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"""Combined platform statistics response schema.
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Used by: GET /api/v1/admin/dashboard/stats/platform
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"""
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users: UserStatsResponse
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vendors: VendorStatsResponse
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products: ProductStatsResponse
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orders: "OrderStatsBasicResponse"
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imports: ImportStatsResponse
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class OrderStatsBasicResponse(BaseModel):
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"""Basic order statistics (stub until Order model is fully implemented).
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Used by: Platform statistics endpoints
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"""
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total_orders: int = Field(0, description="Total number of orders")
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pending_orders: int = Field(0, description="Number of pending orders")
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completed_orders: int = Field(0, description="Number of completed orders")
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# ============================================================================
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# Admin Dashboard Response
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# ============================================================================
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class AdminDashboardResponse(BaseModel):
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"""Admin dashboard response schema.
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Used by: GET /api/v1/admin/dashboard
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"""
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platform: dict[str, Any] = Field(..., description="Platform information")
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users: UserStatsResponse
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vendors: VendorStatsResponse
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recent_vendors: list[dict[str, Any]] = Field(
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default_factory=list, description="Recent vendors"
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)
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recent_imports: list[dict[str, Any]] = Field(
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default_factory=list, description="Recent import jobs"
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)
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# ============================================================================
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# Vendor Dashboard Statistics
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# ============================================================================
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class VendorProductStats(BaseModel):
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"""Vendor product statistics."""
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total: int = Field(0, description="Total products in catalog")
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active: int = Field(0, description="Active products")
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class VendorOrderStats(BaseModel):
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"""Vendor order statistics."""
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total: int = Field(0, description="Total orders")
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pending: int = Field(0, description="Pending orders")
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completed: int = Field(0, description="Completed orders")
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class VendorCustomerStats(BaseModel):
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"""Vendor customer statistics."""
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total: int = Field(0, description="Total customers")
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active: int = Field(0, description="Active customers")
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class VendorRevenueStats(BaseModel):
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"""Vendor revenue statistics."""
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total: float = Field(0, description="Total revenue")
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this_month: float = Field(0, description="Revenue this month")
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class VendorInfo(BaseModel):
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"""Vendor basic info for dashboard."""
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id: int
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name: str
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vendor_code: str
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class VendorDashboardStatsResponse(BaseModel):
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"""Vendor dashboard statistics response schema.
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Used by: GET /api/v1/vendor/dashboard/stats
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"""
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vendor: VendorInfo
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products: VendorProductStats
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orders: VendorOrderStats
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customers: VendorCustomerStats
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revenue: VendorRevenueStats
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# ============================================================================
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# Vendor Analytics
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# ============================================================================
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class VendorAnalyticsImports(BaseModel):
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"""Vendor import analytics."""
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count: int = Field(0, description="Number of imports in period")
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class VendorAnalyticsCatalog(BaseModel):
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"""Vendor catalog analytics."""
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products_added: int = Field(0, description="Products added in period")
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class VendorAnalyticsInventory(BaseModel):
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"""Vendor inventory analytics."""
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total_locations: int = Field(0, description="Total inventory locations")
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class VendorAnalyticsResponse(BaseModel):
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"""Vendor analytics response schema.
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Used by: GET /api/v1/vendor/analytics
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"""
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period: str = Field(..., description="Analytics period (e.g., '30d')")
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start_date: str = Field(..., description="Period start date")
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imports: VendorAnalyticsImports
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catalog: VendorAnalyticsCatalog
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inventory: VendorAnalyticsInventory
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# ============================================================================
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# Code Quality Dashboard Statistics
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# ============================================================================
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class ValidatorStats(BaseModel):
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"""Statistics for a single validator type."""
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total_violations: int = 0
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errors: int = 0
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warnings: int = 0
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last_scan: str | None = None
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class CodeQualityDashboardStatsResponse(BaseModel):
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"""Code quality dashboard statistics response schema.
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Used by: GET /api/v1/admin/code-quality/stats
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Supports multiple validator types: architecture, security, performance.
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When validator_type is specified, returns stats for that type only.
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When not specified, returns combined stats with per-validator breakdown.
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"""
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total_violations: int
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errors: int
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warnings: int
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info: int = 0
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open: int
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assigned: int
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resolved: int
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ignored: int
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technical_debt_score: int
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trend: list[dict[str, Any]] = Field(default_factory=list)
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by_severity: dict[str, Any] = Field(default_factory=dict)
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by_rule: dict[str, Any] = Field(default_factory=dict)
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by_module: dict[str, Any] = Field(default_factory=dict)
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top_files: list[dict[str, Any]] = Field(default_factory=list)
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last_scan: str | None = None
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validator_type: str | None = None # Set when filtering by type
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by_validator: dict[str, ValidatorStats] = Field(
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default_factory=dict,
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description="Per-validator breakdown (architecture, security, performance)",
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)
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# ============================================================================
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# Customer Statistics (Coming Soon)
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# ============================================================================
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class CustomerStatsResponse(BaseModel):
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"""Schema for customer statistics."""
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customer_id: int
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total_orders: int
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total_spent: Decimal
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average_order_value: Decimal
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last_order_date: datetime | None
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first_order_date: datetime | None
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lifetime_value: Decimal
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# ============================================================================
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# Order Statistics (Coming Soon)
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# ============================================================================
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class OrderStatsResponse(BaseModel):
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"""Schema for order statistics."""
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total_orders: int
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pending_orders: int
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processing_orders: int
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shipped_orders: int
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delivered_orders: int
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cancelled_orders: int
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total_revenue: Decimal
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average_order_value: Decimal
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