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stateDapps.py
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stateDapps.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 29 12:26:27 2019
@author: elyhabaro
"""
from common import *
import common
filename = common_get("stateDapps")
driver = common_start('https://www.stateofthedapps.com/rankings')
tree, pagen = common_pagen(driver)
if pagen == -1:
pnumber = tree.xpath('//button[@class="button number last"]/span/text()')
pagen = int(pnumber[0])
print("Crawl pages (auto):", pagen)
links = []
for x in range(-1, math.ceil(pagen) - 1):
if x != -1:
nextpath = "//div[@class='last-wrapper']/button"
nextpathvisible = nextpath
#nextpathvisible = "//div[@data-heading='ID']/text()=" + str((x + 1) * 50 + 1)
print("nextpage:", nextpathvisible)
nextp = driver.find_element_by_xpath(nextpath).click()
element_present = EC.presence_of_element_located((By.XPATH, nextpathvisible))
try:
WebDriverWait(driver, waittime).until(element_present)
except:
tree = html.fromstring(driver.page_source)
if tree.xpath(nextpathvisible):
print("nextpage: assume page load succeeded")
else:
print("nextpage: page load must have failed")
exit(1)
else:
tree = html.fromstring(driver.page_source)
dappNAme = tree.xpath('.//h4[@class="name"]/a/text()')
category = tree.xpath('.//div[@class="RankingTableCategory"]/a/text()')
users = tree.xpath('.//div[@class="table-data col-dau"]/div[1]/span[1]/text()')
Platform = tree.xpath('.//div[@class="RankingTablePlatform"]/a/text()')
Devact = tree.xpath('.//div[@class="table-data col-dev"]/div[1]/span[1]/text()')
Volume7d = tree.xpath('.//div[@class="RankingTableVolume"]/span[2]/text()')
dapplinks = [link.get_attribute('href') for link in driver.find_elements_by_xpath("//h4[@class='name']/a")]
links.extend(dapplinks)
if len(dappNAme) != len(category) or len(category) != len(users) or len(users) != len(Platform) or len(Platform) != len(Devact) or len(Devact) != len(Volume7d):
print("Crawl ERROR: lengths", len(dappNAme), len(category), len(users), len(Platform), len(Devact), len(Volume7d))
exit(1)
dfpage = pd.DataFrame(list(zip(dappNAme,category,users,Platform,Devact,Volume7d)), columns=['dappNAme','category','users','Platform','Devact','Volume7d'])
print("Crawl DApps Index Length:", len(dfpage), "at index", x)
if x == -1:
df = pd.DataFrame()
df = df.append(dfpage)
#dapplimit = int(50 * pagen / math.ceil(pagen))
dapplimit = int(50 * pagen)
print("Crawl DApps Total Length:", len(df), "capped at", dapplimit)
df = df[:dapplimit]
df.reset_index(inplace=True, drop=True)
if not "nosocial" in sys.argv:
print("Crawl DApps:", dapplimit)
#print("DApps:", df)
else:
print("Skip crawling DApps.")
eachdapp = pd.DataFrame(columns=['dappLink','Txn24','Txn7d','github', 'chat','facebook','blog','twitter','reddit','status', 'Date', 'license'])
#for link in links:
linkid = 0
backoff = 1
while linkid < dapplimit and not "nosocial" in sys.argv:
link = links[linkid]
bailout = False
print("DApp", link)
driver.get(link)
tree = html.fromstring(driver.page_source)
try:
if is_element_present(driver, '//a[@title="Github"]'):
#driver.find_element_by_xpath('//a[@title="Github"]'):
Github = tree.xpath('//a[@title="Github"]/@href')
Github = Github[0]
else:
Github = 'null'
if is_element_present(driver, '//a[@title="Reddit"]'):
Reddit = tree.xpath('//a[@title="Reddit"]/@href')
Reddit = Reddit[0]
else:
Reddit = 'null'
if is_element_present(driver, '//a[@title="Twitter"]'):
Twitter = tree.xpath('//a[@title="Twitter"]/@href')
Twitter = Twitter[0]
else:
Twitter = 'null'
if is_element_present(driver, '//a[@title="Blog"]'):
Blog = tree.xpath('//a[@title="Blog"]/@href')
Blog = Blog[0]
else:
Blog = 'null'
if is_element_present(driver, '//a[@title="Facebook"]'):
Facebook = tree.xpath('//a[@title="Facebook"]/@href')
Facebook = Facebook[0]
else:
Facebook = 'null'
if is_element_present(driver, '//a[@title="Chat"]'):
Chat = tree.xpath('//a[@title="Chat"]/@href')
Chat = Chat[0]
else:
Chat = 'null'
except:
print("Bailout social:", link)
Github = 'null'
Reddit = 'null'
Twitter = 'null'
Blog = 'null'
Facebook = 'null'
Chat = 'null'
bailout = True
try:
dappLink = tree.xpath('//div[@class="DappDetailBodyContentCtas"]/div/div[2]/a/@href')
Txn24 = tree.xpath('//div[@class="module-wrapper -tier-4"]/div[2]/div/ul/li[1]/span[2]/text()')
Txn7d = tree.xpath('//div[@class="module-wrapper -tier-4"]/div[2]/div/ul/li[2]/span[2]/text()')
status = tree.xpath('//div[@class="DappDetailBodyContentModulesStatus"]/strong/text()')
Date = tree.xpath('//div[@class="DappDetailBodyContentModulesSubmitted"]/strong/text()')
Slicense = tree.xpath('//p[@class="license-data"]/text()')
except:
print("Bailout smart contracts:", link)
dappLink = ''
Txn24 = ''
Txn7d = ''
status = ''
Date = ''
Slicense = ''
bailout = True
if bailout and backoff < 10:
print("Retry...")
time.sleep(backoff)
backoff *= 2
continue
linkid += 1
backoff = 1
eachdapp = eachdapp.append(pd.DataFrame([[dappLink[0],Txn24[0],Txn7d[0],Github,Chat,Facebook,Blog,Twitter,Reddit,status[0],Date[0],Slicense[0]]], columns=eachdapp.columns))
#Go back to the previous ranking page
#driver.get(currenturl)
eachdapp.reset_index(inplace=True, drop=True)
result = pd.concat([df, eachdapp], axis=1)
#print("DApps+Social:", result)
#Close and quit the chrome driver
driver.quit()
#df.reset_index(inplace=True, drop=True)
#eachdapp.reset_index(inplace=True, drop=True)
#result = pd.concat([df, eachdapp], axis=1)
#print(result)
##Close and quit the chrome driver
#driver.quit()
#Create folder to save figures and extracted data
os.mkdir(filename)
#os.makedirs(filename, exist_ok=True)
# A general describe of the extracted data
# TODO ERROR -- TypeError: unhashable type: 'list'
#result.describe(include=['object'])
#print(result) # alternative to the above
if "noplot" in sys.argv:
print("Skip plotting.")
else:
print("Plotting...")
fig1 = plt.figure(1)
result['Platform'].value_counts().plot(kind='bar',title='number of DApps in each platform')
fig1.tight_layout()
fig1.savefig(filename+'/dappsPlatform.png',dpi=1000)
# add plt.close() after you've saved the figure
plt.close(fig1)
#number of DApps in each category
fig2 = plt.figure(2)
result['category'].value_counts().plot(kind='bar',title='number of DApps in each category')
fig2.tight_layout()
fig2.savefig(filename+'/dappsCategory.png',dpi=1000)
plt.close(fig2)
#Status of the DApps
fig3 = plt.figure(3)
result['status'].value_counts().plot(kind='bar',title='Status of the DApps')
fig3.tight_layout()
fig3.savefig(filename+'/dappsStatus.png',dpi=1000)
plt.close(fig3)
#Used software license
fig4 = plt.figure(4)
result['license'].value_counts().head(10).plot(kind='bar',title='Used software license')
fig4.tight_layout()
fig4.savefig(filename+'/dappslicense.png',dpi=1000)
plt.close(fig4)
#Active users per blockchain platform
result['users'] = result['users'].str.replace('-', '0')
result['users'] = result['users'].str.replace(',', '').astype(int)
df1=result.groupby('Platform', as_index=False)['users'].sum()
fig5 = plt.figure(5)
plot=df1.plot(x='Platform',kind='bar',title='Active users per blockchain platform')
fig5 = plot.get_figure()
fig5.tight_layout()
fig5.savefig(filename+'/dappsUsers.png',dpi=1000)
plt.close(fig5)
#Development activity of the DApps in each platform
result['Devact'] = result['Devact'].str.replace('-', '0')
result['Devact'] = result['Devact'].str.replace(',', '').astype(int)
df2=result.groupby('Platform', as_index=False)['Devact'].sum()
fig6 = plt.figure(6)
plot=df2.plot(x='Platform',kind='bar',title='Development activity of the DApps in each platform' )
fig6 = plot.get_figure()
fig6.tight_layout()
fig6.savefig(filename+'/dappsActivity.png',dpi=1000)
plt.close(fig6)
#Weekly volume for each blockchain platform
result['Volume7d'] = result['Volume7d'].str.replace('USD', '')
result['Volume7d'] = result['Volume7d'].str.replace('-', '0')
result['Volume7d'] = result['Volume7d'].str.replace(',', '').astype(int)
df3=result.groupby('Platform', as_index=False)['Volume7d'].sum()
fig7 = plt.figure(7)
plot=df3.plot(x='Platform',kind='bar',title='Weekly volume for each blockchain platform' )
fig7 = plot.get_figure()
fig7.tight_layout()
fig7.savefig(filename+'/dappsVolume.png',dpi=1000)
plt.close(fig7)
result['date'] = pd.to_datetime(result.Date)
#Platform EOS
df4=result.loc[result['Platform'] == 'EOS']
df4['count']=1
agg1 = df4.resample('M', on='date').sum()
#Platform Ethereum
df5=result.loc[result['Platform'] == 'Ethereum']
df5['count']=1
agg2 = df5.resample('M', on='date').sum()
#Platform POA
df6=result.loc[result['Platform'] == 'POA']
df6['count']=1
agg3 = df6.resample('M', on='date').sum()
# Platform Steem
df7=result.loc[result['Platform'] == 'Steem']
df7['count']=1
agg4 = df7.resample('M', on='date').sum()
#Plot
agg1['date'] = agg1.index.values
agg2['date'] = agg2.index.values
agg3['date'] = agg3.index.values
agg4['date'] = agg4.index.values
fig8, ax1 = plt.subplots(figsize=(16, 9))
ax1.set_xlabel('Date')
ax1.set_ylabel('number of new Dapps', color='k')
ax1.plot(agg2['date'], agg2['count'], color='r', label='Ethereum')
ax1.plot(agg1['date'], agg1['count'], color='b', label='EOS')
ax1.plot(agg3['date'], agg3['count'], color='g', label='POA')
ax1.plot(agg4['date'], agg4['count'], color='y', label='Steem')
ax1.tick_params(axis='y', labelcolor='k')
plt.xticks(rotation=90)
fig8.tight_layout() # otherwise the right y-label is slightly clipped
#plt.title('Comparison between Ethereum new DApps and new smart contracts ')
plt.legend()
fig8.savefig(filename+'/newDapps.png',dpi=1000)
plt.close(fig8)
#save the dataframe to spreadsheet file
#result.to_excel(filename+'/StateDapps.xlsx', index=False)
result.to_csv(filename+'/StateDapps.csv', index=False)
#compare the file with a previous file (from the day before)
today = date.today()
yesterday = today - timedelta(days=1)
yesterday=yesterday.strftime('%Y-%m-%d')
filepathY='stateofthedapp-'+yesterday
if os.path.exists(filepathY):
f2=pd.read_csv(filepathY+'/StateDapps.csv')
f2.columns=['dappNAme', 'category', 'users', 'Platform', 'Devact', 'Volume7d','dappLink','Txn24','Txn7d','github', 'chat','facebook','blog','twitter','reddit','status', 'Date', 'license']
xf1=f2[~f2.dappNAme.isin(result.dappNAme)]
xf2=result[~result.dappNAme.isin(f2.dappNAme)]
if xf1.dappNAme.count() > 0:
print("\n \033[1m The new dapps added: "+str(xf1.dappNAme.count())+" DApps\033[0m \n")
print(xf1)
else :
print("\n \033[1m There is no new DApps\033[0m \n")
if xf2.dappNAme.count() > 0:
print("\n \033[1m The removed dapps: "+str(xf2.dappNAme.count())+" DApps \033[0m \n")
print(xf2)
else :
print("\n \033[1m There is no removed DApps\033[0m \n")
else :
print("There is no file to compare with")
print("Finished:", datetime.datetime.now().isoformat())