Harden giant receipt fetch CLI
This commit is contained in:
387
scraper.py
387
scraper.py
@@ -1,29 +1,88 @@
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import csv
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import json
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import os
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import time
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from pathlib import Path
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import browser_cookie3
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import pandas as pd
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from curl_cffi import requests
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import click
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BASE = "https://giantfood.com"
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ACCOUNT_PAGE = f"{BASE}/account/history/invoice/in-store"
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USER_ID = "369513017"
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LOYALTY = "440155630880"
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ORDER_FIELDS = [
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"order_id",
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"order_date",
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"delivery_date",
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"service_type",
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"order_total",
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"payment_method",
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"total_item_count",
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"total_savings",
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"your_savings_total",
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"coupons_discounts_total",
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"store_name",
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"store_number",
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"store_address1",
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"store_city",
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"store_state",
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"store_zipcode",
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"refund_order",
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"ebt_order",
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]
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ITEM_FIELDS = [
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"order_id",
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"order_date",
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"line_no",
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"pod_id",
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"item_name",
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"upc",
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"category_id",
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"category",
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"qty",
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"unit",
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"unit_price",
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"line_total",
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"picked_weight",
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"mvp_savings",
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"reward_savings",
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"coupon_savings",
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"coupon_price",
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]
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def load_config():
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try:
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from dotenv import load_dotenv
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except ImportError:
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load_dotenv = None
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if load_dotenv is not None:
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load_dotenv()
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return {
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"user_id": os.getenv("GIANT_USER_ID", "").strip(),
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"loyalty": os.getenv("GIANT_LOYALTY_NUMBER", "").strip(),
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}
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def build_session():
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s = requests.Session()
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s.cookies.update(browser_cookie3.firefox(domain_name="giantfood.com"))
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s.headers.update({
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:148.0) Gecko/20100101 Firefox/148.0",
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"accept": "application/json, text/plain, */*",
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"accept-language": "en-US,en;q=0.9",
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"referer": ACCOUNT_PAGE,
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})
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return s
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session = requests.Session()
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session.cookies.update(browser_cookie3.firefox(domain_name="giantfood.com"))
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session.headers.update(
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{
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"user-agent": (
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:148.0) "
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"Gecko/20100101 Firefox/148.0"
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),
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"accept": "application/json, text/plain, */*",
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"accept-language": "en-US,en;q=0.9",
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"referer": ACCOUNT_PAGE,
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}
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)
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return session
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def safe_get(session, url, **kwargs):
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@@ -31,20 +90,20 @@ def safe_get(session, url, **kwargs):
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for attempt in range(3):
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try:
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r = session.get(
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response = session.get(
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url,
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impersonate="firefox",
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timeout=30,
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**kwargs,
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)
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last_response = r
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last_response = response
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if r.status_code == 200:
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return r
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if response.status_code == 200:
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return response
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print(f"retry {attempt + 1}/3 status={r.status_code}")
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except Exception as e:
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print(f"retry {attempt + 1}/3 error={e}")
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click.echo(f"retry {attempt + 1}/3 status={response.status_code}")
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except Exception as exc: # pragma: no cover - network error path
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click.echo(f"retry {attempt + 1}/3 error={exc}")
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time.sleep(3)
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@@ -54,128 +113,234 @@ def safe_get(session, url, **kwargs):
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raise RuntimeError(f"failed to fetch {url}")
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def get_history(session):
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url = f"{BASE}/api/v6.0/user/{USER_ID}/order/history"
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r = safe_get(
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def get_history(session, user_id, loyalty):
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response = safe_get(
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session,
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url,
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params={
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"filter": "instore",
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"loyaltyNumber": LOYALTY,
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},
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f"{BASE}/api/v6.0/user/{user_id}/order/history",
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params={"filter": "instore", "loyaltyNumber": loyalty},
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)
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return r.json()
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return response.json()
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def get_order_detail(session, order_id):
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url = f"{BASE}/api/v6.0/user/{USER_ID}/order/history/detail/{order_id}"
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r = safe_get(
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def get_order_detail(session, user_id, order_id):
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response = safe_get(
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session,
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url,
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f"{BASE}/api/v6.0/user/{user_id}/order/history/detail/{order_id}",
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params={"isInStore": "true"},
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)
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return r.json()
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return response.json()
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def flatten_orders(history, details):
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orders = []
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items = []
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history_lookup = {record["orderId"]: record for record in history.get("records", [])}
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history_lookup = {
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r["orderId"]: r
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for r in history.get("records", [])
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}
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for detail in details:
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order_id = str(detail["orderId"])
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history_row = history_lookup.get(detail["orderId"], {})
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pickup = detail.get("pup", {})
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for d in details:
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hist = history_lookup.get(d["orderId"], {})
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pup = d.get("pup", {})
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orders.append(
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{
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"order_id": order_id,
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"order_date": detail.get("orderDate"),
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"delivery_date": detail.get("deliveryDate"),
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"service_type": history_row.get("serviceType"),
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"order_total": detail.get("orderTotal"),
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"payment_method": detail.get("paymentMethod"),
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"total_item_count": detail.get("totalItemCount"),
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"total_savings": detail.get("totalSavings"),
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"your_savings_total": detail.get("yourSavingsTotal"),
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"coupons_discounts_total": detail.get("couponsDiscountsTotal"),
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"store_name": pickup.get("storeName"),
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"store_number": pickup.get("aholdStoreNumber"),
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"store_address1": pickup.get("storeAddress1"),
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"store_city": pickup.get("storeCity"),
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"store_state": pickup.get("storeState"),
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"store_zipcode": pickup.get("storeZipcode"),
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"refund_order": detail.get("refundOrder"),
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"ebt_order": detail.get("ebtOrder"),
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}
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)
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orders.append({
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"order_id": d["orderId"],
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"order_date": d.get("orderDate"),
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"delivery_date": d.get("deliveryDate"),
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"service_type": hist.get("serviceType"),
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"order_total": d.get("orderTotal"),
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"payment_method": d.get("paymentMethod"),
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"total_item_count": d.get("totalItemCount"),
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"total_savings": d.get("totalSavings"),
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"your_savings_total": d.get("yourSavingsTotal"),
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"coupons_discounts_total": d.get("couponsDiscountsTotal"),
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"store_name": pup.get("storeName"),
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"store_number": pup.get("aholdStoreNumber"),
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"store_address1": pup.get("storeAddress1"),
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"store_city": pup.get("storeCity"),
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"store_state": pup.get("storeState"),
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"store_zipcode": pup.get("storeZipcode"),
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"refund_order": d.get("refundOrder"),
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"ebt_order": d.get("ebtOrder"),
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})
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for line_no, item in enumerate(detail.get("items", []), start=1):
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items.append(
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{
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"order_id": order_id,
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"order_date": detail.get("orderDate"),
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"line_no": str(line_no),
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"pod_id": item.get("podId"),
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"item_name": item.get("itemName"),
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"upc": item.get("primUpcCd"),
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"category_id": item.get("categoryId"),
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"category": item.get("categoryDesc"),
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"qty": item.get("shipQy"),
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"unit": item.get("lbEachCd"),
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"unit_price": item.get("unitPrice"),
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"line_total": item.get("groceryAmount"),
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"picked_weight": item.get("totalPickedWeight"),
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"mvp_savings": item.get("mvpSavings"),
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"reward_savings": item.get("rewardSavings"),
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"coupon_savings": item.get("couponSavings"),
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"coupon_price": item.get("couponPrice"),
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}
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)
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for i, item in enumerate(d.get("items", []), start=1):
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items.append({
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"order_id": d["orderId"],
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"order_date": d.get("orderDate"),
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"line_no": i,
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"pod_id": item.get("podId"),
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"item_name": item.get("itemName"),
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"upc": item.get("primUpcCd"),
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"category_id": item.get("categoryId"),
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"category": item.get("categoryDesc"),
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"qty": item.get("shipQy"),
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"unit": item.get("lbEachCd"),
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"unit_price": item.get("unitPrice"),
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"line_total": item.get("groceryAmount"),
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"picked_weight": item.get("totalPickedWeight"),
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"mvp_savings": item.get("mvpSavings"),
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"reward_savings": item.get("rewardSavings"),
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"coupon_savings": item.get("couponSavings"),
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"coupon_price": item.get("couponPrice"),
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})
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return pd.DataFrame(orders), pd.DataFrame(items)
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return orders, items
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def main():
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outdir = Path("giant_output")
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def normalize_row(row, fieldnames):
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return {field: stringify(row.get(field)) for field in fieldnames}
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def stringify(value):
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if value is None:
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return ""
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return str(value)
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def read_csv_rows(path):
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if not path.exists():
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return [], []
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with path.open(newline="", encoding="utf-8") as handle:
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reader = csv.DictReader(handle)
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fieldnames = reader.fieldnames or []
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return fieldnames, list(reader)
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def read_existing_order_ids(path):
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_, rows = read_csv_rows(path)
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return {row["order_id"] for row in rows if row.get("order_id")}
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def merge_rows(existing_rows, new_rows, subset):
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merged = []
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row_index = {}
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for row in existing_rows + new_rows:
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key = tuple(stringify(row.get(field)) for field in subset)
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normalized = dict(row)
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if key in row_index:
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merged[row_index[key]] = normalized
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else:
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row_index[key] = len(merged)
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merged.append(normalized)
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return merged
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def append_dedup(path, new_rows, subset, fieldnames):
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existing_fieldnames, existing_rows = read_csv_rows(path)
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all_fieldnames = list(dict.fromkeys(existing_fieldnames + fieldnames))
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merged = merge_rows(
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[normalize_row(row, all_fieldnames) for row in existing_rows],
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[normalize_row(row, all_fieldnames) for row in new_rows],
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subset=subset,
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)
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with path.open("w", newline="", encoding="utf-8") as handle:
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writer = csv.DictWriter(handle, fieldnames=all_fieldnames)
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writer.writeheader()
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writer.writerows(merged)
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return merged
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def write_json(path, payload):
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path.write_text(json.dumps(payload, indent=2), encoding="utf-8")
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@click.command()
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@click.option("--user-id", default=None, help="Giant user id.")
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@click.option("--loyalty", default=None, help="Giant loyalty number.")
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@click.option(
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"--outdir",
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default="giant_output",
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show_default=True,
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help="Directory for raw json and csv outputs.",
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)
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@click.option(
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"--sleep-seconds",
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default=1.5,
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show_default=True,
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type=float,
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help="Delay between order detail requests.",
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)
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def main(user_id, loyalty, outdir, sleep_seconds):
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config = load_config()
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user_id = user_id or config["user_id"] or click.prompt("Giant user id", type=str)
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loyalty = loyalty or config["loyalty"] or click.prompt(
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"Giant loyalty number", type=str
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)
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outdir = Path(outdir)
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rawdir = outdir / "raw"
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rawdir.mkdir(parents=True, exist_ok=True)
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orders_csv = outdir / "orders.csv"
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items_csv = outdir / "items.csv"
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click.echo("Using cookies from your current Firefox profile.")
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click.echo(f"Open Giant here, confirm you're logged in, then return: {ACCOUNT_PAGE}")
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click.pause(info="Press any key once Giant is open and logged in")
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session = build_session()
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print("fetching order history...")
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history = get_history(session)
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click.echo("Fetching order history...")
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history = get_history(session, user_id, loyalty)
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write_json(rawdir / "history.json", history)
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(rawdir / "history.json").write_text(
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json.dumps(history, indent=2),
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encoding="utf-8",
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records = history.get("records", [])
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click.echo(f"History returned {len(records)} visits.")
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click.echo(
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"Note: Giant appears to expose only the most recent 50 visits, "
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"so run this periodically if you want full continuity."
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)
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order_ids = [r["orderId"] for r in history.get("records", [])]
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print(f"{len(order_ids)} orders found")
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history_order_ids = [str(record["orderId"]) for record in records]
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existing_order_ids = read_existing_order_ids(orders_csv)
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new_order_ids = [order_id for order_id in history_order_ids if order_id not in existing_order_ids]
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click.echo(f"Existing orders in csv: {len(existing_order_ids)}")
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click.echo(f"New orders to fetch: {len(new_order_ids)}")
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if not new_order_ids:
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click.echo("No new orders found. Done.")
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return
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details = []
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for order_id in order_ids:
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print(f"fetching {order_id}")
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d = get_order_detail(session, order_id)
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details.append(d)
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for order_id in new_order_ids:
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click.echo(f"Fetching {order_id}")
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detail = get_order_detail(session, user_id, order_id)
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details.append(detail)
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write_json(rawdir / f"{order_id}.json", detail)
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time.sleep(sleep_seconds)
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(rawdir / f"{order_id}.json").write_text(
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json.dumps(d, indent=2),
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encoding="utf-8",
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)
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click.echo("Flattening new data...")
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orders, items = flatten_orders(history, details)
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time.sleep(1.5)
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all_orders = append_dedup(
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orders_csv,
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orders,
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subset=["order_id"],
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fieldnames=ORDER_FIELDS,
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)
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all_items = append_dedup(
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items_csv,
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items,
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subset=["order_id", "line_no", "item_name", "upc", "line_total"],
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fieldnames=ITEM_FIELDS,
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)
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print("flattening data...")
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orders_df, items_df = flatten_orders(history, details)
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orders_df.to_csv(outdir / "orders.csv", index=False)
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items_df.to_csv(outdir / "items.csv", index=False)
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print("done")
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print(f"{len(orders_df)} orders written to {outdir / 'orders.csv'}")
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print(f"{len(items_df)} items written to {outdir / 'items.csv'}")
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click.echo("Done.")
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click.echo(f"Orders csv: {orders_csv}")
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click.echo(f"Items csv: {items_csv}")
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click.echo(f"Total orders stored: {len(all_orders)}")
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click.echo(f"Total item rows stored: {len(all_items)}")
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if __name__ == "__main__":
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main()
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main()
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Reference in New Issue
Block a user