**Scammer blocklist** - migration 006: scammer_blocklist table (platform + seller_id unique key, source: manual|csv_import|community) - ScammerEntry dataclass + Store.add/remove/list_blocklist methods - blocklist.ts Pinia store — CRUD, export CSV, import CSV with validation - BlocklistView.vue — list with search, export/import, bulk-remove; sellers show on ListingCard with force-score-0 badge - API: GET/POST/DELETE /api/blocklist + CSV export/import endpoints - Router: /blocklist route added; AppNav link **Migration renumber** - 002_background_tasks.sql → 007_background_tasks.sql (correct sequence after blocklist; idempotent CREATE IF NOT EXISTS safe for existing DBs) **Search + listing UI overhaul** - SearchView.vue: keyword expansion preview, filter chips for condition/ format/price, saved-search quick-run button, paginated results - ListingCard.vue: trust tier badge, scammer flag overlay, photo count chip, quick-block button, save-to-search action - savedSearches store: optimistic update on run, last-run timestamp **Tier refactor** - tiers.py: full rewrite with docstring ladder, BYOK LOCAL_VISION_UNLOCKABLE flag, intentionally-free list with rationale (scammer_db, saved_searches, market_comps free to maximise adoption) **Trust aggregator + scraper** - aggregator.py: blocklist check short-circuits scoring to 0/BAD_ACTOR - scraper.py: listing format detection, photo count, improved title parsing **Theme** - theme.css: trust tier color tokens, badge variants, blocklist badge
104 lines
3 KiB
Python
104 lines
3 KiB
Python
"""Dataclasses for all Snipe domain objects."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Optional
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@dataclass
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class Seller:
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platform: str
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platform_seller_id: str
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username: str
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account_age_days: Optional[int] # None = not yet fetched (scraper tier)
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feedback_count: int
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feedback_ratio: float # 0.0–1.0
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category_history_json: str # JSON blob of past category sales
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id: Optional[int] = None
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fetched_at: Optional[str] = None
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@dataclass
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class Listing:
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platform: str
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platform_listing_id: str
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title: str
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price: float
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currency: str
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condition: str
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seller_platform_id: str
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url: str
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photo_urls: list[str] = field(default_factory=list)
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listing_age_days: int = 0
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buying_format: str = "fixed_price" # "fixed_price", "auction", "best_offer"
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ends_at: Optional[str] = None # ISO8601 auction end time; None for fixed-price
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id: Optional[int] = None
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fetched_at: Optional[str] = None
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trust_score_id: Optional[int] = None
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category_name: Optional[str] = None # leaf category from eBay API (e.g. "Graphics/Video Cards")
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# Staging DB fields — populated from DB after upsert
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first_seen_at: Optional[str] = None
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last_seen_at: Optional[str] = None
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times_seen: int = 1
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price_at_first_seen: Optional[float] = None
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@dataclass
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class TrustScore:
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listing_id: int
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composite_score: int # 0–100
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account_age_score: int # 0–20
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feedback_count_score: int # 0–20
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feedback_ratio_score: int # 0–20
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price_vs_market_score: int # 0–20
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category_history_score: int # 0–20
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photo_hash_duplicate: bool = False
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photo_analysis_json: Optional[str] = None
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red_flags_json: str = "[]"
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score_is_partial: bool = False
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id: Optional[int] = None
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scored_at: Optional[str] = None
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@dataclass
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class MarketComp:
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platform: str
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query_hash: str
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median_price: float
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sample_count: int
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expires_at: str # ISO8601 — checked against current time
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id: Optional[int] = None
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fetched_at: Optional[str] = None
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@dataclass
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class SavedSearch:
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"""Schema scaffolded in v0.1; background monitoring wired in v0.2."""
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name: str
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query: str
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platform: str
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filters_json: str = "{}"
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id: Optional[int] = None
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created_at: Optional[str] = None
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last_run_at: Optional[str] = None
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@dataclass
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class ScammerEntry:
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"""A seller manually or community-flagged as a known scammer."""
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platform: str
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platform_seller_id: str
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username: str
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reason: Optional[str] = None
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source: str = "manual" # "manual" | "csv_import" | "community"
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id: Optional[int] = None
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created_at: Optional[str] = None
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@dataclass
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class PhotoHash:
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"""Perceptual hash store for cross-search dedup (v0.2+). Schema scaffolded in v0.1."""
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listing_id: int
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photo_url: str
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phash: str # hex string from imagehash
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id: Optional[int] = None
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first_seen_at: Optional[str] = None
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