def clean_old_entries():
"""cleans up entries from database(s) that are older than a day for moon call and ops log"""
tables = [str(env + "_moon_call"), str(env + "_twitter_scores")]
when = helpers.get_time_now()
for table in tables:
col = ""
if "moon_call" in table:
col = "main_end"
when = when - timedelta(weeks=1)
if "twitter_scores" in table:
col = "created"
when = when - timedelta(hours=24)
with Db() as db:
try:
db.cur.execute("delete from " + table +
" where to_timestamp(" + col + ") <= " +
str(when))
except psycopg2.Error as e:
print e
pass
def get_cutoff(x):
now = get_time_now(naive=False)
day_delta = timedelta(hours=24)
return {
"day": now - day_delta,
}[x]
def on_message(self, message):
print('[WS] Incoming message:', message)
date = helpers.get_time_now()
f = open("/home/pi/" + message + ".txt", "a")
f.write(date + "\n")
f.close()
# Broadcast message to all clients
[
client.write_message({
"date": date,
"list": message
}) for client in connections
]
def moon_call():
""" call hot shots on market symbols """
operations_log = {}
operations_log["main_start"] = helpers.get_time_now(stringify=True)
print("[JOB] Starting moon_call at " + operations_log["main_start"])
summaries = rex.get_market_summaries()
scores = []
print("[JOB] Searching Twitter for BTRX symbol high volume list...")
operations_log["twitter_search_start"] = helpers.get_time_now(
stringify=True)
avg_res = archivist.get_moon_call_res_duration()
print("[JOB] Scoring " + str(len(summaries)) + " coins...")
# get and score relevant tweets per symbol.
for summary in summaries:
entry = summary
entry["created"] = helpers.get_time_now(stringify=True)
coin_symbol = "$" + summary["symbol"]
# search twitter
tweets = twit.search(coin_symbol)
score = logician.judge(tweets, stale_break=avg_res + 3200)
# if score sucks, go to next symbol
if not score:
continue
entry["score"] = int(score)
postgres.add_twitter_score(entry)
scores.append(entry)
operations_log["twitter_search_end"] = helpers.get_time_now(stringify=True)
# sort and find hottest trends
sorted_scores = sorted(scores,
key=operator.itemgetter("score"),
reverse=True)
hourly_top_scores = sorted_scores[:5]
print("[JOB] Preparing message templates...")
daily_top_scores = archivist.get_score_history(tf="day")
# track the daily coins for each call
operations_log["daily_coins"] = []
for coin in daily_top_scores:
operations_log["daily_coins"].append(coin["symbol"])
# ensure that we are not unnecessarily sending daily/ block
last_daily = archivist.get_last_scores("day")
day_matches_last_moon_call = False
if last_daily is not None:
day_matches_last_moon_call = last_daily == operations_log[
"daily_coins"]
if day_matches_last_moon_call:
daily_top_scores = []
# prepare message for telegram
operations_log["send_message_start"] = helpers.get_time_now(stringify=True)
bot.generate_and_post_message(hourly_top_scores, daily_top_scores)
operations_log["send_message_end"] = helpers.get_time_now(stringify=True)
print("[JOB] Moon call complete, message sent at " +
helpers.get_time_now(stringify=True))
print("[JOB] Sleeping now for one hour...\n\n")
operations_log["main_end"] = helpers.get_time_now(stringify=True)
postgres.add_operations_log(operations_log)
postgres.clean_old_entries()
GPIO.setup(23, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
GPIO.setup(24, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
GPIO.setup(25, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
# GPIO.setup(24, GPIO.OUT) # set GPIO24 as an output (LED)
prev_input23 = 0
prev_input24 = 0
prev_input25 = 0
try:
while True: # this will carry on until you hit CTRL+C
if (GPIO.input(23) == True):
if (not prev_input23): # if port 23 == 1 and it was previously 0
print("Port 23 is 1/HIGH/True - BUTTON PRESSED")
# payload = { "date": datetime.now().strftime('%Y-%m-%dT%H:%M:%SZ'), "list": "kitties" }
payload = {"date": helpers.get_time_now(), "list": "kitties"}
# r = requests.post("http://192.168.0.104/post", data = payload)
r = requests.post("http://127.0.0.1/post", data=payload)
print(r.text)
# GPIO.output(24, (not GPIO.input(24))) # Toggle pin 24 - set port/pin value to 1/HIGH/True
prev_input23 = True
else:
prev_input23 = False
if (GPIO.input(24) == True):
if (not prev_input24): # if port 24 == 1 and it was previously 0
print("Port 24 is 1/HIGH/True - BUTTON PRESSED")
# payload = { "date": datetime.now().strftime('%Y-%m-%dT%H:%M:%SZ'), "list": "andi" }
payload = {"date": helpers.get_time_now(), "list": "andi"}
# r = requests.post("http://192.168.0.104/post", data = payload)
r = requests.post("http://127.0.0.1/post", data=payload)
def judge(tweets, stale_break):
"""
judge provides a score judging an array of tweets based on
- user credibility
- tweet quality, hype
"""
scores = []
for tweet in tweets:
# ignore stale tweets.
if parse_date(tweet.created_at) < get_time_now() - timedelta(
seconds=stale_break):
break
score = 0
# judge user credibility
user = tweet.user
twitter_handle = user.screen_name
followers = user.followers_count
# f**k potential bots.
# - default profile means they have not modified at all.
if user.default_profile is True:
continue
# f**k shills and spammers.
if twitter_handle in SHILLS:
continue
score += followers
if user.verified:
score *= 2
# judge tweet quality
favs = tweet.favorite_count
retweets = tweet.retweet_count
text = tweet.text
# TODO: check tweet.entities
# https://dev.twitter.com/overview/api/entities
# if these entities are in CRYPTO_TERMS yeahhh
if favs:
score += favs * 4
if retweets:
score += retweets * 4
# vips get bumps.
if twitter_handle in VIP_PLAYERS:
score *= 2
# deduct points for coin spamming
if text.count("$") > 3:
score *= 0.5
# TODO: add sentiment analysis here!
# - take the polarity of the text and simply multiply the score by that
scores.append(score)
if not scores:
return 0
return sum(scores) / float(len(scores))