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