Pre-Reveal Sales
[1]:
"""
Update Parameters Here
"""
COLLECTION_NAME = "MekaVerse"
CONTRACT = "0x9A534628B4062E123cE7Ee2222ec20B86e16Ca8F"
YEAR = "2021"
MONTH = "10"
DAY = "13"
HOUR = "15"
MINUTE = "00"
METHOD = "raritytools"
TOKEN_COL = "TOKEN_ID"
[2]:
"""
@author: mdigi14
"""
import pandas as pd
import matplotlib.pyplot as plt
from honestnft_utils import config
from honestnft_utils import constants
from honestnft_utils import opensea
REVEAL_TIME = "{}-{}-{}T{}:{}:00".format(YEAR, MONTH, DAY, HOUR, MINUTE)
"""
Plot params
"""
plt.rcParams.update({"figure.facecolor": "white", "savefig.facecolor": "white"})
"""
Helper Functions
"""
def get_all_sales():
data = opensea.get_opensea_events(
contract_address=CONTRACT,
occurred_before=REVEAL_TIME,
event_type="successful",
)
print("Events returned :", len(data))
return data
[3]:
RARITY_CSV = f"{config.RARITY_FOLDER}/{COLLECTION_NAME}_{METHOD}.csv"
RARITY_DB = pd.read_csv(RARITY_CSV)
sales_list = []
data = get_all_sales()
for event in data:
try:
token_id = int(event["asset"]["token_id"])
sale = dict()
sale[TOKEN_COL] = token_id
sale["USER"] = event["transaction"]["from_account"]["address"]
sale["DATE"] = event["created_date"]
sale["RANK"] = int(RARITY_DB[RARITY_DB[TOKEN_COL] == token_id]["Rank"])
sale["PRICE"] = float(event["total_price"]) / constants.ETHER_UNITS # type: ignore
sales_list.append(sale)
except:
continue
"""
Generate Plot
"""
sales_df = pd.DataFrame(sales_list)
sales_df = sales_df.sort_values(by="DATE")
sales_df.to_csv(
f"{config.PRE_REVEAL_SALES_FOLDER}/{COLLECTION_NAME}_pre-reveal_sales.csv",
index=False,
)
ax = sales_df.plot.scatter(
x="TOKEN_ID",
y="RANK",
grid=True,
alpha=0.25,
title=f"{COLLECTION_NAME} - Pre-reveal Sales",
figsize=(14, 7),
xlabel="Token ID",
ylabel="Rarity Rank",
)
Events returned : 4491
