def build_rep_arrays(self):
""" Build reputation arrays """
self.rep_timestamp = [self.timestamps[1]]
self.rep = [reputation_to_score(0)]
current_reputation = 0
for (ts, rshares, rep) in zip(self.in_vote_timestamp,
self.in_vote_rshares, self.in_vote_rep):
if rep > 0:
if rshares > 0 or (rshares < 0 and rep > current_reputation):
current_reputation += rshares >> 6
self.rep.append(reputation_to_score(current_reputation))
self.rep_timestamp.append(ts)
def main(args=None):
args = parse_args(args)
authorperm = args.authorperm
comment = Comment(authorperm)
title = comment["title"]
author = comment["author"]
rep = reputation_to_score(comment["author_reputation"])
time_created = comment["created"]
utc = pytz.timezone('UTC')
td_created = utc.localize(datetime.utcnow()) - time_created
md = '# ' + title + '\n' + author
md += '(%.2f) ' % (rep)
md += formatTimedelta(td_created) + '\n\n'
md += comment["body"]
extensions = ['extra', 'smarty']
html = markdown.markdown(md, extensions=extensions, output_format='html5')
doc = jinja2.Template(TEMPLATE).render(content=html, title=title)
args.out.write(doc)
def main(args=None):
"""pandoc -s test.md --from markdown-blank_before_header-blank_before_blockquote+lists_without_preceding_blankline -o test.pdf"""
args = parse_args(args)
authorperm = args.authorperm
comment = Comment(authorperm)
title = comment["title"]
author = comment["author"]
rep = reputation_to_score(comment["author_reputation"])
time_created = comment["created"]
if True:
md = '% Title:\t ' + title + '\n'
md += '% Author:\t' + author + '(%.2f) ' % (rep) + '\n'
md += '% Date:\t' + time_created.strftime("%d.%m.%Y") + '\n'
md += '% Comment:\n'
else:
md = '# ' + title + '\n'
md += author + '(%.2f) ' % (rep) + ' ' + time_created.strftime(
"%d.%m.%Y") + '\n\n'
md += comment["body"]
args.out.write(md)
import matplotlib.pyplot as plt
if __name__ == "__main__":
stm = Steem()
price = Amount(stm.get_current_median_history()["base"])
reps = [0]
for i in range(26, 91):
reps.append(int(10**((i - 25) / 9 + 9)))
# reps = np.logspace(9, 16, 60)
used_power = stm._calc_resulting_vote()
last_sp = 0
sp_list = []
rep_score_list = []
for goal_rep in reps:
score = reputation_to_score(goal_rep)
rep_score_list.append(score)
needed_rshares = int(goal_rep) << 6
needed_vests = needed_rshares / used_power / 100
needed_sp = stm.vests_to_sp(needed_vests)
sp_list.append(needed_sp / 1000)
# print("| %.1f | %.2f | %.2f | " % (score, needed_sp / 1000, needed_sp / 1000 - last_sp / 1000))
last_sp = needed_sp
plt.figure(figsize=(12, 6))
opts = {'linestyle': '-', 'marker': '.'}
plt.semilogx(sp_list, rep_score_list, label="Reputation", **opts)
plt.grid()
plt.legend()
plt.title("Required number of 1k SP upvotes to reach certain reputation")
plt.xlabel("1k SP votes")
'allow_curation_rewards', 'allow_curation_rewards', 'beneficiaries',
'promoted', 'depth'
]
query = "SELECT %s from Comments WHERE " \
"created BETWEEN '%s' AND '%s'" % \
(", ".join(fields), start_date, stop_date)
entries = []
cursor.execute(query)
for op in cursor:
entry = {}
for key, value in zip(fields, op):
if key in ['active_votes', 'beneficiaries']:
if not value:
entry[key] = {}
else:
entry[key] = json.loads(value)
elif key == 'author_reputation':
entry[key] = reputation_to_score(int(value))
else:
entry[key] = value
entries.append(entry)
s = shelve.open("posts-%s.shelf" % (datestr(start_date)))
s['posts'] = entries
s.close()
print(start_date, len(entries))
start_date = stop_date
connection.close()