vagrant
547 lines
19 KiB
Python
547 lines
19 KiB
Python
import sys
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sys.path.insert(0, '/home/frappe/erpnext-bench/apps/frappe')
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import frappe
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from frappe.utils import now, now_datetime, flt
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from frappe import _
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import json
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import re
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import time
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import urllib.parse
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OXYLABS_API = "https://realtime.oxylabs.io/v1/queries"
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ACTOR_ID = "caffein.dev~ebay-sold-listings"
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API_BASE = "https://api.apify.com/v2"
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MFR_CLEANUP = {
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"Dell Inc": "Dell", "HP HP": "HP", "HP": "HP",
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"LENOVO": "Lenovo", "Lenovo": "Lenovo",
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"Microsoft Corporation": "Microsoft", "Apple Inc": "Apple",
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"ASUSTeK COMPUTER INC.": "ASUS", "Acer": "Acer",
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"Panasonic": "Panasonic", "Samsung": "Samsung",
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"Toshiba": "Toshiba", "Fujitsu": "Fujitsu",
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"Hewlett-Packard": "HP", "HUAWEI": "Huawei",
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}
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def _get_settings():
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if not frappe.db.exists("eBay Pricing Settings", "eBay Pricing Settings"):
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return None
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return frappe.get_doc("eBay Pricing Settings", "eBay Pricing Settings")
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def _get_oxylabs_creds():
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settings = _get_settings()
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user = password = ""
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if settings:
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user = settings.get("oxylabs_user") or ""
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try:
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password = settings.get_password("oxylabs_password") or ""
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except Exception:
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pass
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if not user:
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user = frappe.conf.get("oxylabs_user", "")
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if not password:
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password = frappe.conf.get("oxylabs_password", "")
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return (user, password)
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def _get_apify_token():
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settings = _get_settings()
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token = ""
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if settings:
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try:
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token = settings.get_password("apify_token") or ""
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except Exception:
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pass
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if not token:
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token = frappe.conf.get("apify_token", "")
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return token
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def clean_manufacturer(mfr):
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return MFR_CLEANUP.get(mfr, mfr)
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@frappe.whitelist()
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def search_model(query=None, manufacturer=None, model=None, source="auto"):
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if not query and not (manufacturer and model):
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return {"error": "Provide query or manufacturer + model"}
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if not manufacturer or not model:
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parts = (query or "").split(None, 1)
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if len(parts) >= 2:
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manufacturer, model = parts[0], parts[1]
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else:
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manufacturer, model = query, ""
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items, used_source = _search_ebay_sold(model, manufacturer, source=source)
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pricing = _parse_prices(items, manufacturer, model, source=used_source or "unknown")
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if pricing:
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_upsert_system_pricing(manufacturer, model, pricing)
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_update_item_market_data(manufacturer, model, pricing)
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_log_api_call(manufacturer, model, query, used_source,
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len(items) if items else 0, "Success")
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return {"results": items or [], "pricing": pricing}
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else:
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_log_api_call(manufacturer, model, query, used_source, 0, "Failed")
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return {"results": items or [], "pricing": None,
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"message": "No pricing data found"}
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def _search_ebay_sold_oxylabs(model, manufacturer):
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user, password = _get_oxylabs_creds()
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if not user or not password:
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return None
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import requests as req_module
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clean_mfr = clean_manufacturer(manufacturer)
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query = f"{clean_mfr} {model}"
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payloads = [
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{
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"source": "universal",
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"url": f"https://www.ebay.com/sch/i.html?_nkw={urllib.parse.quote(query)}&LH_Sold=1&_ipg=240",
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"render": "html",
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},
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{
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"source": "ebay_search",
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"query": query,
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"domain": "com",
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"render": "html",
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},
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]
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for payload in payloads:
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try:
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resp = req_module.post(OXYLABS_API, auth=(user, password),
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json=payload, timeout=120)
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if resp.status_code != 200:
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continue
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data = resp.json()
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if "results" not in data or not data["results"]:
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continue
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content = data["results"][0].get("content", "")
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if not isinstance(content, str) or len(content) < 100000:
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continue
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listings = _parse_ebay_html(content)
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if listings and len(listings) >= 3:
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return listings
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except Exception:
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continue
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return None
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def _parse_ebay_html(content):
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listings = []
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card_blocks = re.split(r'class="s-card\s', content)
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for block in card_blocks[1:]:
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listing = {}
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price_m = re.search(
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r's-card__price[^>]*>\$([\d,.]+(?:\.\d{2})?)(?:\s*to\s*\$[\d,.]+(?:\.\d{2})?)?</span>',
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block,
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)
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if price_m:
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listing["price"] = float(price_m.group(1).replace(",", ""))
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title_m = re.search(r's-card__title[^>]*><span[^>]*>([^<]+)</span>', block)
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if title_m:
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listing["title"] = title_m.group(1).strip()
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if listing["title"].lower() in ("shop on ebay", ""):
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continue
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else:
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heading_m = re.search(r'role=heading[^>]*>(.*?)</(?:div|span|h\d)>',
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block, re.DOTALL)
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if heading_m:
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title_text = re.sub(r'<[^>]+>', '', heading_m.group(1)).strip()
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if title_text.lower() != "shop on ebay":
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listing["title"] = title_text
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sold_m = re.search(r'(\d[\d,]*)\s+sold', block, re.IGNORECASE)
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if sold_m:
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listing["sold"] = int(sold_m.group(1).replace(",", ""))
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if re.search(r'Free (?:shipping|delivery|Standard Shipping)',
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block, re.IGNORECASE):
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listing["shipping"] = "Free"
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else:
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ship_m = re.search(
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r'\+\$?([\d,.]+)\s+(?:shipping|delivery|Standard Shipping)',
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block, re.IGNORECASE,
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)
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if ship_m:
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listing["shipping"] = float(ship_m.group(1).replace(",", ""))
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else:
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ship_alt = re.search(r'\$([\d,.]+)\s+(?:shipping|delivery)',
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block, re.IGNORECASE)
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if ship_alt:
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listing["shipping"] = float(ship_alt.group(1).replace(",", ""))
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cond_m = re.search(
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r'(Pre-Owned|Used|Brand New|New \(Other\)|Refurbished|Open Box|'
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r'For parts or not working|Seller refurbished|New with defects|'
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r'New with box|New without box|New with tags)',
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block, re.IGNORECASE,
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)
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if cond_m:
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listing["condition"] = cond_m.group(1)
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if listing.get("price") or listing.get("title"):
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listings.append(listing)
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return listings if listings else None
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def _search_ebay_sold_apify(model, manufacturer):
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token = _get_apify_token()
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if not token:
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return None
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import requests as req_module
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clean_mfr = clean_manufacturer(manufacturer)
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query = f"{clean_mfr} {model}"
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run_input = {
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"keywords": [query],
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"daysToScrape": 60,
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"count": 30,
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"categoryId": "0",
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"ebaySite": "ebay.com",
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"sortOrder": "endedRecently",
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"itemCondition": "any",
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"itemLocation": "domestic",
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}
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url = f"{API_BASE}/acts/{ACTOR_ID}/runs?token={token}"
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try:
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resp = req_module.post(url, json=run_input, timeout=30)
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result = resp.json()
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run_id = result["data"]["id"]
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dataset_id = result["data"].get("defaultDatasetId")
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except Exception:
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return None
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max_wait = 120
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start = time.time()
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while time.time() - start < max_wait:
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time.sleep(8)
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try:
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status_url = f"{API_BASE}/actor-runs/{run_id}?token={token}"
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status_resp = req_module.get(status_url, timeout=10)
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status = status_resp.json()
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run_status = status["data"]["status"]
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if run_status == "SUCCEEDED":
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break
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elif run_status in ("FAILED", "ABORTED", "TIMED-OUT"):
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return None
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except Exception:
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continue
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try:
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results_url = f"{API_BASE}/datasets/{dataset_id}/items?token={token}&limit=30&clean=true"
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results_resp = req_module.get(results_url, timeout=15)
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return results_resp.json()
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except Exception:
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return None
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def _search_ebay_sold(model, manufacturer, source="auto"):
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if source in ("auto", "oxylabs"):
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result = _search_ebay_sold_oxylabs(model, manufacturer)
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if result is not None:
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return result, "oxylabs"
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if source in ("auto", "apify"):
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result = _search_ebay_sold_apify(model, manufacturer)
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if result is not None:
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return result, "apify"
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return None, None
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def _parse_prices(items, manufacturer, model, source="oxylabs"):
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if not items:
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return None
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prices = []
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for item in items:
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if item.get("error"):
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continue
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if source == "oxylabs":
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price_val = item.get("price")
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if isinstance(price_val, str):
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price_str = price_val.replace("$", "").replace(",", "").strip()
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if " to " in price_str:
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price_str = price_str.split(" to ")[0]
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try:
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price_val = float(price_str)
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except (ValueError, TypeError):
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continue
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if not isinstance(price_val, (int, float)):
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continue
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p = float(price_val)
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if 5 < p < 10000:
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title = item.get("title", "").upper()
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model_upper = model.upper()
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model_words = model_upper.split()
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if len(items) > 5:
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short_model_words = [w for w in model_words if len(w) > 2]
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if short_model_words and not any(w in title for w in short_model_words):
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continue
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prices.append(p)
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else:
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price_str = item.get("totalPrice") or item.get("soldPrice")
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if not price_str:
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continue
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try:
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p = float(str(price_str).replace(",", "").replace("$", "").strip())
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if 5 < p < 10000:
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prices.append(p)
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except (ValueError, TypeError):
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continue
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if not prices:
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return None
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prices.sort()
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if len(prices) >= 5:
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trim = max(1, int(len(prices) * 0.1))
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trimmed = prices[trim : len(prices) - trim]
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if trimmed:
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prices = trimmed
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if not prices:
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return None
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avg = sum(prices) / len(prices)
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median = prices[len(prices) // 2]
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return {
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"price_high": round(max(prices), 2),
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"price_low": round(min(prices), 2),
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"price_average": round(avg, 2),
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"price_auction": round(median, 2),
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"sample_count": len(prices),
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"source": source or "unknown",
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"scraped_at": now(),
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}
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def _upsert_system_pricing(manufacturer, model, pricing):
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existing = frappe.db.get_value(
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"System Pricing",
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{"manufacturer": manufacturer, "model": model},
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"name",
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)
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doc = None
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if existing:
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doc = frappe.get_doc("System Pricing", existing)
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else:
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doc = frappe.new_doc("System Pricing")
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doc.manufacturer = manufacturer
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doc.model = model
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for key in ("price_high", "price_low", "price_average", "price_auction",
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"sample_count", "scraped_at"):
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if key in pricing:
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setattr(doc, key, pricing[key])
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# Fix source to match allowed values
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if "source" in pricing:
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raw_source = pricing["source"]
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if raw_source.startswith("ebay_"):
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raw_source = raw_source.replace("ebay_", "")
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if raw_source not in ("oxylabs", "apify"):
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raw_source = "unknown"
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setattr(doc, "source", raw_source)
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if doc.scraped_at:
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scraped = frappe.utils.get_datetime(doc.scraped_at)
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now = now_datetime()
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doc.days_since_pricing = (now - scraped).days
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else:
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doc.days_since_pricing = 0
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doc.pricing_status = "Priced"
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doc.save()
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frappe.db.commit()
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def _update_item_market_data(manufacturer, model, pricing):
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clean_mfr = clean_manufacturer(manufacturer)
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model_lower = model.lower()
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# Match by brand (exact) + item_name (contains model)
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items = frappe.get_all(
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"Item",
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filters={
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"item_group": ["in", ["Laptop", "Desktop", "Tablet", "Phone", "Workstation"]],
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"disabled": 0,
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"brand": clean_mfr,
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},
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fields=["name", "item_name"],
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)
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matched = None
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for item in items:
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item_name_lower = (item.item_name or "").lower()
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if model_lower in item_name_lower:
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matched = item.name
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break
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if not matched:
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return
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item_doc = frappe.get_doc("Item", matched)
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item_doc.base_market_price = pricing.get("price_average", 0)
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item_doc.market_high = pricing.get("price_high", 0)
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item_doc.market_low = pricing.get("price_low", 0)
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item_doc.market_median = pricing.get("price_auction", 0)
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item_doc.market_average = pricing.get("price_average", 0)
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item_doc.market_samples = pricing.get("sample_count", 0)
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item_doc.market_last_priced = pricing.get("scraped_at")
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item_doc.save()
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frappe.db.commit()
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return {"item": matched, "updated": True}
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def _log_api_call(manufacturer, model, search_query, source, results_count, status):
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try:
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log = frappe.new_doc("eBay Pricing Log")
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log.manufacturer = manufacturer
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log.model = model
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log.search_query = search_query
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log.source = source or "unknown"
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log.timestamp = now()
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log.results_count = results_count or 0
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log.status = status
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log.save()
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frappe.db.commit()
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except Exception:
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pass
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@frappe.whitelist()
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def run_batch(batch_size=10, source="auto", force=False):
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batch_size = int(batch_size) if batch_size != "all" else 999999
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force = bool(force)
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# Get unique models from Items that have serials
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models = frappe.db.sql(
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"""
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SELECT DISTINCT i.brand as manufacturer, i.item_name as model
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FROM `tabItem` i
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INNER JOIN `tabSerial No` sn ON sn.item_code = i.name
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WHERE i.brand IS NOT NULL AND i.brand != ''
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AND i.disabled = 0
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ORDER BY i.modified DESC
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LIMIT %s
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""",
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(batch_size,),
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as_dict=True,
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)
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priced = failed = skipped = 0
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for row in models:
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mfr = row.manufacturer
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mdl = row.model
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if not force:
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exists = frappe.db.exists("System Pricing", {"manufacturer": mfr, "model": mdl})
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if exists:
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skipped += 1
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continue
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items, used_source = _search_ebay_sold(mdl, mfr, source=source)
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pricing = _parse_prices(items, mfr, mdl, source=used_source or "unknown")
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if pricing:
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_upsert_system_pricing(mfr, mdl, pricing)
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_update_item_market_data(mfr, mdl, pricing)
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_log_api_call(mfr, mdl, f"{mfr} {mdl}", used_source,
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len(items) if items else 0, "Success")
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priced += 1
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else:
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_log_api_call(mfr, mdl, f"{mfr} {mdl}", used_source, 0, "Failed")
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failed += 1
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if used_source == "oxylabs":
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time.sleep(2)
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else:
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time.sleep(3)
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return {"priced": priced, "failed": failed, "skipped": skipped, "total": len(models)}
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@frappe.whitelist()
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def get_recent_pricing(limit=50, status_filter=None):
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filters = {}
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if status_filter:
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filters["pricing_status"] = status_filter
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records = frappe.get_all(
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"System Pricing",
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filters=filters,
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fields=[
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"name", "manufacturer", "model", "pricing_status",
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"scraped_at", "days_since_pricing",
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"price_high", "price_low", "price_average",
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"sample_count", "source",
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],
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order_by="scraped_at desc",
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limit=int(limit),
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)
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for r in records:
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r["days_since_pricing"] = r.get("days_since_pricing") or 0
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for key in ("price_high", "price_low", "price_average"):
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if r.get(key) is not None:
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r[key] = round(r[key], 2)
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return records
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@frappe.whitelist()
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def apply_serial_pricing(serial_no):
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serial = frappe.get_doc("Serial No", serial_no)
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if not serial.item_code:
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return {"error": "No item linked"}
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item = frappe.get_doc("Item", serial.item_code)
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grade = serial.grade
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price_point = serial.price_point
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if not grade:
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serial.pricing_status = "Needs Grading"
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serial.save()
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return {"status": "needs_grading"}
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if grade in ("C", "D", "F"):
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serial.assigned_price = item.commodity_flat_price or 0
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serial.commodity_value = item.commodity_flat_price or 0
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serial.pricing_status = "Commodity"
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serial.pricing_source = item.name
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serial.save()
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|
frappe.db.commit()
|
|
return {"status": "commodity", "price": serial.assigned_price}
|
|
if not price_point:
|
|
serial.pricing_status = "Needs Pricing"
|
|
serial.save()
|
|
return {"status": "needs_price_point"}
|
|
base_price = 0
|
|
if price_point == "Low":
|
|
base_price = item.market_low or item.base_market_price or 0
|
|
elif price_point == "Median":
|
|
base_price = item.market_median or item.base_market_price or 0
|
|
elif price_point == "Average":
|
|
base_price = item.market_average or item.base_market_price or 0
|
|
elif price_point == "High":
|
|
base_price = item.market_high or item.base_market_price or 0
|
|
elif price_point == "Manual":
|
|
base_price = serial.manual_price or 0
|
|
multiplier = 1.0
|
|
if grade == "A":
|
|
multiplier = item.grade_a_multiplier or 1.0
|
|
elif grade == "B":
|
|
multiplier = item.grade_b_multiplier or 0.8
|
|
final_price = flt(base_price) * flt(multiplier)
|
|
serial.assigned_price = round(final_price, 2)
|
|
serial.pricing_status = "Priced" if price_point != "Manual" else "Manual Override"
|
|
serial.pricing_source = item.name
|
|
serial.save()
|
|
frappe.db.commit()
|
|
return {
|
|
"status": serial.pricing_status,
|
|
"price": serial.assigned_price,
|
|
"base": base_price,
|
|
"multiplier": multiplier,
|
|
}
|
|
|
|
|
|
@frappe.whitelist()
|
|
def batch_apply_pricing(item_code=None, batch_size=50):
|
|
filters = {"pricing_status": ["in", ["Needs Grading", "Needs Pricing", "Priced"]]}
|
|
if item_code:
|
|
filters["item_code"] = item_code
|
|
serials = frappe.get_all(
|
|
"Serial No",
|
|
filters=filters,
|
|
fields=["name", "item_code", "grade", "price_point"],
|
|
limit=int(batch_size),
|
|
)
|
|
results = {"priced": 0, "commodity": 0, "needs_grading": 0, "needs_price_point": 0, "errors": 0}
|
|
for s in serials:
|
|
try:
|
|
result = apply_serial_pricing(s.name)
|
|
status = result.get("status", "")
|
|
if status == "commodity":
|
|
results["commodity"] += 1
|
|
elif status == "needs_grading":
|
|
results["needs_grading"] += 1
|
|
elif status == "needs_price_point":
|
|
results["needs_price_point"] += 1
|
|
elif status in ("Priced", "Manual Override"):
|
|
results["priced"] += 1
|
|
else:
|
|
results["errors"] += 1
|
|
except Exception as e:
|
|
frappe.log_error(f"Pricing error for {s.name}: {e}", "eBay Pricing")
|
|
results["errors"] += 1
|
|
return results
|