Merge pull request 'feat: eBay affiliate link builder' (#20) from feature/affiliate-links into main
This commit is contained in:
commit
c5988a059d
5 changed files with 39 additions and 2 deletions
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@ -47,6 +47,13 @@ SNIPE_DB=data/snipe.db
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# HEIMDALL_URL=https://license.circuitforge.tech
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# HEIMDALL_URL=https://license.circuitforge.tech
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# HEIMDALL_ADMIN_TOKEN=
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# HEIMDALL_ADMIN_TOKEN=
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# ── eBay Affiliate (optional) ─────────────────────────────────────────────────
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# Set to your eBay Partner Network (EPN) campaign ID to earn commissions on
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# listing click-throughs. Leave blank for clean /itm/ URLs (no tracking).
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# Register at https://partnernetwork.ebay.com — self-hosted users can use their
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# own ID; the CF cloud instance uses CF's campaign ID (disclosed in the UI).
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# EBAY_AFFILIATE_CAMPAIGN_ID=
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# ── In-app feedback (beta) ────────────────────────────────────────────────────
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# ── In-app feedback (beta) ────────────────────────────────────────────────────
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# When set, a feedback FAB appears in the UI and routes submissions to Forgejo.
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# When set, a feedback FAB appears in the UI and routes submissions to Forgejo.
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# Leave unset to silently hide the button (demo/offline deployments).
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# Leave unset to silently hide the button (demo/offline deployments).
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16
README.md
16
README.md
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@ -2,7 +2,7 @@
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> *Part of the Circuit Forge LLC "AI for the tasks you hate most" suite.*
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> *Part of the Circuit Forge LLC "AI for the tasks you hate most" suite.*
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**Status:** Active — eBay listing search + seller trust scoring MVP complete. Auction sniping engine and multi-platform support are next.
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**Status:** Active — eBay listing intelligence MVP complete (search, trust scoring, affiliate links, feedback FAB, vision task scheduling). Auction sniping engine and multi-platform support are next.
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## What it does
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## What it does
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@ -68,6 +68,20 @@ Scans listing titles for signals the item may have undisclosed damage or problem
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- **On-demand**: ↻ button on any listing card triggers `POST /api/enrich` — runs enrichment and re-scores without waiting for a second search
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- **On-demand**: ↻ button on any listing card triggers `POST /api/enrich` — runs enrichment and re-scores without waiting for a second search
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- **Category history**: derived from the seller's accumulated listing data (Browse API `categories` field); improves with every search, no extra API calls
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- **Category history**: derived from the seller's accumulated listing data (Browse API `categories` field); improves with every search, no extra API calls
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### Affiliate link builder
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Listing cards surface eBay affiliate-wrapped URLs. Uses `circuitforge_core.affiliates.wrap_url` — resolution order: user opted out → plain URL; user has BYOK affiliate ID → their ID; CF env var set (`EBAY_AFFILIATE_ID`) → CF's ID; otherwise plain URL. Users can configure their own eBay Partner Network ID or opt out entirely in Settings.
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Disclosure tooltip appears on first encounter per-session and on each wrapped link (per-retailer copy from `get_disclosure_text`).
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### Feedback FAB
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In-app feedback button (bottom-right FAB) opens a modal: title, description, optional screenshot. Posts to the CF feedback endpoint. Status probed on load; FAB hidden if endpoint unreachable.
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### Vision task scheduling
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Photo condition assessment tasks queued through `circuitforge_core.tasks.TaskScheduler` — VRAM-aware slot management shared with any other LLM workloads on the same host. Runs moondream2 locally (free tier) or Claude vision (paid/cloud). Results stored per-listing and update the trust score card.
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### Market price comparison
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### Market price comparison
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Completed sales fetched via eBay Marketplace Insights API (with Browse API fallback for app tiers that don't have Insights access). Median stored per query hash, used to score `price_vs_market` across all listings in a search.
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Completed sales fetched via eBay Marketplace Insights API (with Browse API fallback for app tiers that don't have Insights access). Median stored per query hash, used to score `price_vs_market` across all listings in a search.
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10
api/main.py
10
api/main.py
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@ -23,6 +23,7 @@ from pydantic import BaseModel
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.middleware.cors import CORSMiddleware
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from circuitforge_core.config import load_env
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from circuitforge_core.config import load_env
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from circuitforge_core.affiliates import wrap_url as _wrap_affiliate_url
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from app.db.store import Store
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from app.db.store import Store
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from app.db.models import SavedSearch as SavedSearchModel, ScammerEntry
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from app.db.models import SavedSearch as SavedSearchModel, ScammerEntry
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from app.platforms import SearchFilters
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from app.platforms import SearchFilters
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@ -69,6 +70,7 @@ def _ebay_creds() -> tuple[str, str, str]:
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client_secret = (os.environ.get("EBAY_CERT_ID") or os.environ.get("EBAY_CLIENT_SECRET", "")).strip()
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client_secret = (os.environ.get("EBAY_CERT_ID") or os.environ.get("EBAY_CLIENT_SECRET", "")).strip()
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return client_id, client_secret, env
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return client_id, client_secret, env
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app = FastAPI(title="Snipe API", version="0.1.0", lifespan=_lifespan)
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app = FastAPI(title="Snipe API", version="0.1.0", lifespan=_lifespan)
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app.include_router(ebay_webhook_router)
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app.include_router(ebay_webhook_router)
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@ -395,12 +397,18 @@ def search(
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and shared_store.get_seller("ebay", listing.seller_platform_id)
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and shared_store.get_seller("ebay", listing.seller_platform_id)
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}
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}
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def _serialize_listing(l: object) -> dict:
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d = dataclasses.asdict(l)
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d["url"] = _wrap_affiliate_url(d["url"], retailer="ebay")
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return d
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return {
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return {
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"listings": [dataclasses.asdict(l) for l in listings],
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"listings": [_serialize_listing(l) for l in listings],
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"trust_scores": trust_map,
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"trust_scores": trust_map,
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"sellers": seller_map,
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"sellers": seller_map,
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"market_price": market_price,
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"market_price": market_price,
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"adapter_used": adapter_used,
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"adapter_used": adapter_used,
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"affiliate_active": bool(os.environ.get("EBAY_AFFILIATE_CAMPAIGN_ID", "").strip()),
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}
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}
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@ -120,6 +120,7 @@ export const useSearchStore = defineStore('search', () => {
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)
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)
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const marketPrice = ref<number | null>(cached?.marketPrice ?? null)
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const marketPrice = ref<number | null>(cached?.marketPrice ?? null)
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const adapterUsed = ref<'api' | 'scraper' | null>(cached?.adapterUsed ?? null)
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const adapterUsed = ref<'api' | 'scraper' | null>(cached?.adapterUsed ?? null)
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const affiliateActive = ref<boolean>(false)
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const loading = ref(false)
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const loading = ref(false)
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const error = ref<string | null>(null)
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const error = ref<string | null>(null)
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@ -164,6 +165,7 @@ export const useSearchStore = defineStore('search', () => {
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sellers: Record<string, Seller>
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sellers: Record<string, Seller>
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market_price: number | null
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market_price: number | null
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adapter_used: 'api' | 'scraper'
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adapter_used: 'api' | 'scraper'
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affiliate_active: boolean
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}
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}
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results.value = data.listings ?? []
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results.value = data.listings ?? []
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@ -171,6 +173,7 @@ export const useSearchStore = defineStore('search', () => {
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sellers.value = new Map(Object.entries(data.sellers ?? {}))
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sellers.value = new Map(Object.entries(data.sellers ?? {}))
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marketPrice.value = data.market_price ?? null
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marketPrice.value = data.market_price ?? null
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adapterUsed.value = data.adapter_used ?? null
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adapterUsed.value = data.adapter_used ?? null
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affiliateActive.value = data.affiliate_active ?? false
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saveCache({
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saveCache({
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query: q,
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query: q,
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results: results.value,
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results: results.value,
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@ -225,6 +228,7 @@ export const useSearchStore = defineStore('search', () => {
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sellers,
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sellers,
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marketPrice,
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marketPrice,
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adapterUsed,
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adapterUsed,
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affiliateActive,
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loading,
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loading,
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error,
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error,
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search,
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search,
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@ -296,6 +296,9 @@
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<span v-if="hiddenCount > 0" class="results-hidden">
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<span v-if="hiddenCount > 0" class="results-hidden">
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· {{ hiddenCount }} hidden by filters
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· {{ hiddenCount }} hidden by filters
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</span>
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</span>
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<span v-if="store.affiliateActive" class="affiliate-disclosure">
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· Links may include an affiliate code
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</span>
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</p>
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</p>
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<div class="toolbar-actions">
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<div class="toolbar-actions">
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<label for="sort-select" class="sr-only">Sort by</label>
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<label for="sort-select" class="sr-only">Sort by</label>
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@ -1029,6 +1032,7 @@ async function onSearch() {
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}
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}
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.results-hidden { color: var(--color-warning); }
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.results-hidden { color: var(--color-warning); }
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.affiliate-disclosure { color: var(--color-text-muted, #8b949e); font-size: 0.8em; }
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.toolbar-actions {
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.toolbar-actions {
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display: flex;
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display: flex;
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