def test_cards_indv_call(self):
try:
api = sep_api
mycall = api.cards()
mycall.individual_cards(1, 1)
mycall.individual_cards(1, 1, full_response=True)
mycall.individual_cards(1, 1, 'trades')
mycall.individual_cards(1, 1, ns.Shard('trades'))
mycall.individual_cards(1, 1, (ns.Shard('trades'), ))
# mycall.get_shards(choice(mycall.auto_shards))
# mycall.get_shards(choice(mycall.auto_shards), full_response=True)
except Exception as Err:
raise Err
self.fail(Err)
def census_score_history(self, scales=None):
""" Returns the history of weighted census scores for the nation. Return format is (timestamp, scores)
where timestamp is a list of unix timestamp and scores a list of scores.
these can be plotted using a module like matplotlib to view trends in the nation's score"""
if not scales:
scales = list(range(65)) + list(range(67, 80)) + [85] # Z-day and WA-stats as well as Residency removed as these make the data really unclear
response = self.nation.get_shards(ns.Shard("census", scale=scales, mode="history"))
min_ts = 1e100
max_ts = 0
for scale in response.census.scale:
for point in scale.point:
ts = int(point.timestamp)
if ts < min_ts:
min_ts = ts
if ts > max_ts:
max_ts = ts
if max_ts == 0:
return # something went wrong
x = np.arange(min_ts, max_ts, 24*60**2)
y = np.array([0. for o in x])
for scale in response.census.scale:
c_id = int(scale.id)
# we must use interpolation as the timestamps aren't always the same for all scales
interp_x = np.array([int(p.timestamp) for p in scale.point])
interp_y = self.census_weights[c_id] * np.array([float(p.score) for p in scale.point])
# Black market does something odd on 2019-11-19 (see https://www.nationstates.net/page=news/2019/index.html)
# We need to adjust for this (the other changes are more negligible)
if c_id == 79:
i = 0
while i < len(interp_x) and interp_x[i] < 1574164800:
i += 1
interp_y[:i] /= 6 # this is an approximation and the exact number will vary for all nations. a jump will still be seen, but that is fine
y += np.interp(x, interp_x, interp_y)
return x, y
def test_shard(self):
self.assertEqual(
core.Shard("numnations")._get_main_value(), "numnations")
def test_shard_eq(self):
self.assertEqual(core.Shard("TEST"), core.Shard("TEST"))
def test_shard_string(self):
try:
str(core.Shard("TEST"))
core.Shard("TEST").name
except:
self.fail()
def test_shard_repr(self):
self.assertIsInstance(core.Shard("test").__repr__(), str)
self.assertIsInstance(core.Shard("test", test="test").__repr__(), str)
def test_shard_tail_gen(self):
self.assertEqual(
core.Shard("dispatch", dispatchid="1").tail_gen(),
{"dispatchid": "1"})
reg = api.region(rnamef)
pid = '0' if sid == '' else sid
start = '\nArchive starts from Post ID ' + pid + ' as Post ' + str(
n
) + '\n' + '=' * 80 if pid != '0' or n != 1 else '' # Adds archive start info to heading
#Prints the heading to the file.
f.write(
'=' * 80 + '\n' + rname + ' NationStates RMB Archive\non ' + nt + '\n' +
'=' * 80 +
'\nPython script by Merni\npynationstates API wrapper by DolphDev (github)/United Island Tribes (NS)\n'
+ '=' * 80 + start)
while True:
#Gets messages as list 'msgs' of dicts
shd = ns.Shard('messages', limit='100', fromid=str(int(pid) + 1))
x = reg.get_shards(shd)
if x['messages'] == None or x['messages']['post'] == None: break
msgs = x['messages']['post']
for i in msgs:
#unpacks individual attributes of each message (i) and processed them to be ready to write
t = int(i['timestamp'])
dt = datetime.utcfromtimestamp(t).strftime('%Y-%m-%d at %H:%M:%S UTC')
#Previous line by 'rkachach' at Stack Overflow
poster = i['nation']
pid = i['id']
likes = int(i['likes'])
status = int(i['status'])
if likes != 0:
likers = i['likers']