import os import random import sqlite3 from datetime import date, timedelta random.seed(1337) DB_PATH = "store.db" def ensure_project_dir(): os.makedirs(".", exist_ok=True) def remove_zero_width(s: str) -> str: for ch in ("\u200b", "\u200c", "\u200d", "\ufeff"): s = s.replace(ch, "") return s def normalize_email(email): if email is None: return None s = str(email).strip().lower() s = remove_zero_width(s) if s in ("", "null", "none", "na"): return None return s def random_signup(): start = date(2020, 1, 1) return (start + timedelta(days=random.randint(0, 1600))).isoformat() def random_order_date_valid(): d = date(2023, 1, 1) + timedelta(days=random.randint(0, 730)) fmt = random.choice(["iso", "slash", "us"]) if fmt == "iso": return d.strftime("%Y-%m-%d") if fmt == "slash": return d.strftime("%Y/%m/%d") return d.strftime("%m/%d/%Y") def random_order_date_invalid(): return random.choice( [ "2024-13-01", "2024/99/99", "31/31/2024", "not-a-date", "", "2024-02-30", ] ) def amount_to_storage(value): style = random.choice( ["float", "plain", "ws", "currency", "comma", "currency_ws"] ) if style == "float": return round(value, 2) if style == "plain": return f"{value:.2f}" if style == "ws": return f" {value:.2f} " if style == "currency": return f"${value:.2f}" if style == "comma": return f"{value:,.2f}" return f" ${value:,.2f} " def bad_amount(): return random.choice( ["", "abc", "null", "None", "$", "1,2,3", "12.3.4", " ", None] ) def status_variant(base): variants = { "paid": ["paid", "PAID", " paid ", "Paid"], "shipped": ["shipped", "SHIPPED", " shipped ", "Shipped"], "bad": ["pending", "cancelled", "refunded", " failed ", "", "unknown"], } return random.choice(variants[base]) def source_variant(): return random.choice(["web", "mobile", "store", "import", "partner"]) def main(): ensure_project_dir() if os.path.exists(DB_PATH): os.remove(DB_PATH) conn = sqlite3.connect(DB_PATH) cur = conn.cursor() cur.execute( """ CREATE TABLE customers ( id INTEGER PRIMARY KEY, name TEXT, email TEXT, city TEXT, signup_date TEXT ) """ ) cur.execute( """ CREATE TABLE orders ( id INTEGER PRIMARY KEY, customer_id INTEGER, amount, order_date TEXT, status TEXT, source TEXT ) """ ) customer_rows = [] logical_customers = [] cities = ["New York", "Chicago", "Dallas", "Seattle", "Austin", "Miami"] # 900 unique-email logical customers next_customer_id = 1 for i in range(1, 901): email = f"customer{i:04d}@example.com" row = ( next_customer_id, f"Customer_{i:04d}", email, random.choice(cities), random_signup(), ) customer_rows.append(row) logical_customers.append( { "canonical_id": next_customer_id, "all_ids": [next_customer_id], "name": row[1], "norm_email": normalize_email(email), } ) next_customer_id += 1 # 50 duplicate groups, each with 2 rows => 50 logical customers, 100 physical rows for i in range(901, 951): base_email = f"dup{i:04d}@example.com" email1 = base_email.upper() email2 = " \u200b" + base_email + " " id1 = next_customer_id customer_rows.append( ( id1, f"Customer_{i:04d}_A", email1, random.choice(cities), random_signup(), ) ) next_customer_id += 1 id2 = next_customer_id customer_rows.append( ( id2, f"Customer_{i:04d}_B", email2, random.choice(cities), random_signup(), ) ) next_customer_id += 1 logical_customers.append( { "canonical_id": min(id1, id2), "all_ids": [id1, id2], "name": f"Customer_{i:04d}_A", "norm_email": normalize_email(base_email), } ) # 50 missing-email customers, each remains distinct logical customer missing_email_values = [None, "", " ", "NULL", "None", "na", "\u200b", " NA "] for i in range(951, 1001): email = random.choice(missing_email_values) row = ( next_customer_id, f"Customer_{i:04d}", email, random.choice(cities), random_signup(), ) customer_rows.append(row) logical_customers.append( { "canonical_id": next_customer_id, "all_ids": [next_customer_id], "name": row[1], "norm_email": None, } ) next_customer_id += 1 cur.executemany( "INSERT INTO customers (id, name, email, city, signup_date) VALUES (?, ?, ?, ?, ?)", customer_rows, ) # Orders order_rows = [] next_order_id = 1 # 700 logical customers active, 300 inactive active_indices = set(random.sample(range(len(logical_customers)), 700)) for idx, logical in enumerate(logical_customers): ids = logical["all_ids"] if idx in active_indices: # 1-6 qualifying orders, spread across duplicate ids if any qcount = random.randint(1, 6) for _ in range(qcount): cust_id = random.choice(ids) amount = round(random.uniform(5, 2500), 2) order_rows.append( ( next_order_id, cust_id, amount_to_storage(amount), random_order_date_valid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) next_order_id += 1 # plus 0-3 junk orders for same logical customer for _ in range(random.randint(0, 3)): cust_id = random.choice(ids) junk_kind = random.choice(["bad_status", "bad_amount", "bad_date", "nonpos"]) if junk_kind == "bad_status": amount = round(random.uniform(5, 500), 2) order_rows.append( ( next_order_id, cust_id, amount_to_storage(amount), random_order_date_valid(), status_variant("bad"), source_variant(), ) ) elif junk_kind == "bad_amount": order_rows.append( ( next_order_id, cust_id, bad_amount(), random_order_date_valid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) elif junk_kind == "bad_date": amount = round(random.uniform(5, 500), 2) order_rows.append( ( next_order_id, cust_id, amount_to_storage(amount), random_order_date_invalid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) else: amount = random.choice([0, "0", "0.00", -5, "-10.00", "$0.00"]) order_rows.append( ( next_order_id, cust_id, amount, random_order_date_valid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) next_order_id += 1 else: # inactive logical customers may still have only non-qualifying orders for _ in range(random.randint(0, 2)): cust_id = random.choice(ids) junk_kind = random.choice(["bad_status", "bad_amount", "bad_date", "nonpos"]) if junk_kind == "bad_status": amount = round(random.uniform(5, 500), 2) order_rows.append( ( next_order_id, cust_id, amount_to_storage(amount), random_order_date_valid(), status_variant("bad"), source_variant(), ) ) elif junk_kind == "bad_amount": order_rows.append( ( next_order_id, cust_id, bad_amount(), random_order_date_valid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) elif junk_kind == "bad_date": amount = round(random.uniform(5, 500), 2) order_rows.append( ( next_order_id, cust_id, amount_to_storage(amount), random_order_date_invalid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) else: amount = random.choice([0, "0", "0.00", -1, "-2.50", "$0.00"]) order_rows.append( ( next_order_id, cust_id, amount, random_order_date_valid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) next_order_id += 1 # Add orphan orders with nonexistent customer ids for _ in range(120): fake_customer_id = random.randint(5000, 7000) amount = round(random.uniform(10, 900), 2) order_rows.append( ( next_order_id, fake_customer_id, amount_to_storage(amount), random_order_date_valid(), status_variant(random.choice(["paid", "shipped"])), source_variant(), ) ) next_order_id += 1 cur.executemany( """ INSERT INTO orders (id, customer_id, amount, order_date, status, source) VALUES (?, ?, ?, ?, ?, ?) """, order_rows, ) conn.commit() conn.close() print( f"Generated {len(customer_rows)} customer rows, " f"{len(logical_customers)} logical customers, " f"{len(order_rows)} orders." ) if __name__ == "__main__": main()