def main():
db_connection = setup_db().connect()
logger = Logger(db_connection)
logger.info('Initializing Downloader')
try:
run_downloader(db_connection, logger)
except Exception:
logger.exception()
logger.info('Finishing Downloader')
def worker(self, ip):
'''
Make the post request for each record that
we have in records list
'''
for host in self.records:
host['ipv4Address'] = ip
Response = self.rest.post('/dns/' + str(host['id']), host)
if Response == True:
Logger.info(f"Updating IP address {ip} to Dynu.net record {host['name']}")
else:
Logger.Error(f"Failed to update IP address {ip} to Dynu.net record {host['name']}")
def create_path_if_not_exists(path):
logger = Logger().getLogger()
p = Path(path)
if not p.exists():
try:
p.mkdir(parents=True, exist_ok=True)
except Exception as ex:
logger.error("Creation of the directory %s failed" % path)
logger.error(ex)
else:
logger.info("Successfully created the directory %s" % path)
class RiotExtractor:
def __init__(self):
self.logger = Logger().getLogger()
def get_data_from_api(self, endpoint="", headers="", api_name=""):
try:
self.logger.info("getting {}'s data from {} with headers {}".format(api_name, endpoint, headers))
response = requests.request("GET", endpoint, headers=headers)
if response.status_code != 200:
raise ValueError('API dont work as expected, getting status code {} and error {}'
.format(response.status_code, response.json()))
return response.json()
except Exception as ex:
self.logger.error("getting {}'s data from {} with headers {}".format(api_name, endpoint, headers))
self.logger.error('Error: {}'.format(ex))
class Writer:
def __init__(self):
self.logger = Logger().getLogger()
def write_json(self, data="", file_name="data.json", output_path=""):
try:
output_path = Utils.remove_slash_in_end_of_string(output_path)
full_output_path = file_name + '.json' if output_path == "" else '{}/{}.json'.format(
output_path, file_name)
if data is not None:
self.logger.info("Writing {} in json format".format(file_name))
with open(full_output_path, 'w') as f:
json.dump(data, f)
else:
raise ValueError(
'file data is none, cannot write in file system')
except Exception as ex:
self.logger.error("can't write json in file system")
self.logger.error('Error: {}'.format(ex))
class RiotChampionPointsXChampionID:
def __init__(self, data):
self.logger = Logger().getLogger()
self.data = data
self.chart = self.plot_chart()
def plot_chart(self):
try:
self.logger.info("Plotting chart")
# filter only championId and championPoints columns
dataframe = pd.DataFrame(
self.data)[['championId', 'championPoints']]
dataframe['championId'] = dataframe['championId'].astype(str)
# sort values to get the top 10 values descending
dataframe = dataframe.sort_values(by=['championPoints'],
ascending=False).head(10)
chart = pygal.Bar(x_title='champion ID', y_title='champion Points')
chart.title = 'Top 10 championPoints by championId'
# adding data into chart object
for index, row in dataframe.iterrows():
chart.add('id ' + row['championId'], row['championPoints'])
self.logger.info("chart plotted")
return chart
except Exception as ex:
self.logger.error("can't plot chart")
self.logger.error('Error: {}'.format(ex))
def save_chart_as_image(self, path=""):
try:
path = Utils.remove_slash_in_end_of_string(path)
path_full_png = path + '/champion_points_champion_id.png'
path_full_svg = path + '/champion_points_champion_id.svg'
self.chart.render_to_file(path_full_svg)
self.chart.render_to_png(filename=path_full_png)
self.logger.info("chart saved at {} as svg".format(path_full_svg))
self.logger.info("chart saved at {} as png".format(path_full_png))
except Exception as ex:
self.logger.error("can't save chart in {}".format(path))
self.logger.error('Error: {}'.format(ex))
def upload_worker(queue, job_id, worker_id):
# Uploader to the S3 bucket.
db_connection = setup_db().connect()
logger = Logger(db_connection, job_id)
bucket_name = environ.get('UPLOAD_BUCKET')
try:
logger.info(f'Creating S3 uploader #{worker_id}')
uploader = S3Uploader(bucket=bucket_name)
granule_serializer = Serializer(db_connection, granule)
while True:
message = queue.get()
if message == 'DONE':
# Put in back for other workers.
queue.put('DONE')
break
product_id, filename = message
try:
checksum = hashlib.md5(open(filename,
'rb').read()).hexdigest().upper()
# Download status = SUCCESS
granule_serializer.put(
product_id, {
'download_status': DownloadStatus.SUCCESS,
'downloaded_at': datetime.now(),
'validated': False,
'checksum': checksum,
's3_location': f'{bucket_name}/filename'
})
logger.info(f'Uploading {product_id} at #{worker_id}',
f'Filename: {filename}')
uploader.upload_file(filename)
remove(filename)
logger.info(f'Uploaded {product_id} at #{worker_id}',
f'Filename: {filename}')
except Exception:
logger.exception()
except Exception:
logger.exception()
if zone == 'global':
continue
provider = config[zone].get('provider')
try:
module = __import__("plugins." + provider, fromlist=[provider])
except ImportError:
Logger.error(f"Unknown provider in zone '{zone}': {provider}")
zones[zone] = getattr(module, provider)(zone, config[zone])
'''
Get the update interval from the configuration file or
fallback to default interval 300 seconds
'''
update_interval_sec = config['global'].get('interval')
if not update_interval_sec:
update_interval_sec = 300
ip = None
while True:
new_ip = IP.getPublic()
if not ip or ip != new_ip:
ip = new_ip
Logger.info(f"IP changed, updating zones/hosts with IP: {new_ip}")
for _, zone_invoke in zones.items():
zone_invoke.worker(ip)
time.sleep(int(update_interval_sec))
class Hemnet():
def __init__(self):
self.log = Logger("Hemnet")
self.request = Request()
#Base objects for searches and results
self.baseUrl = "http://www.hemnet.se"
self.baseSearch = self.baseUrl + "/sok/create"
self.baseLocation = self.baseUrl + "/locations/show?"
self.baseResult = self.baseUrl + "/resultat"
self.searchQuery = {}
#Basetype, english -> Swedish
self.translatedTypes = {
"municipality": "Kommun",
"district": u"Område",
"postal_city": "Stadsdel",
"region": u"Län",
"street": "Gata",
"city": "Stad"
}
#BaseAverageTypes -> Swedish
self.translatedAverageTypes = {
"age": u"List ålder",
"price": "Medelpris",
"price_m2": u"Pris per m²",
"size": u"Storlek (m²)",
"rooms": "Antal rum",
"fee": u"Månadsavgift",
"price_change_up": u"Prisökning (%)",
"price_change_down": u"Prissäkning (%)"
}
#searchTypes
self.searchTypes = {
"f": "fritidshus",
"v": "villa",
"t": "tomt",
"r": "radhus",
"g": "gard",
"b": "bostadsratt",
"o": "other",
"a": "all"
}
#Items to get average for
self.itemAverageTypes = {
"age": 0,
"price": 0,
"price_m2": 0,
"size": 0,
"rooms": 0,
"fee": 0,
"price_change_up": 0,
"price_change_down": 0
}
#Base result format
self.resultFormat = {
"totalItems": 0,
"results": {}
}
self.log.info("Initiated Hemnet")
'''
Searchdata is a formpost in a very specific format
'''
def createSearchFormData(self, data, specificType='a'):
locationData = [{
"id": (data.get("id")),
"name": (data.get("name")),
"parent_id": (data.get("parent_location").get("id")),
"parent_name": (data.get("parent_location").get("name"))
}]
searchData = {
"search[location_search]": locationData,
"search[location_ids][]": data.get("id"),
"search[region_id]": -1,
"search[municipality_ids][]": -1,
"search[country_id]": 0,
"search[item_types][]": "%s" % self.searchTypes[specificType],
"search[price_min]": '',
"search[price_max]": '',
"search[fee_max]": '',
"search[rooms_min]": '',
"search[living_area_min]": '',
"search[keywords]": '',
"commit": ''
}
return searchData
def searchRequest(self, query):
return self.request.postRequest(self.baseSearch, query)
'''
Pass a list of keys and a dict of data to caluclate average value for each key
'''
def avgByKey(self, keys, data):
final = {}
for d in data:
for k in d.keys():
if k in keys:
final[k] = final.get(k, 0) + d[k]
for k in final.keys():
final[k] = final[k] / len(data)
return final
def getLocationQueryURL(self, query):
return "%sq=%s" % (self.baseLocation,
urllib.quote(query.encode('utf-8')))
@cache.methodcache.cache('findLocations', expire=72000)
def findLocations(self, query, extra, area=None):
queryURL = self.getLocationQueryURL(query)
cacheResult = cache.locations.get(hashlib.md5(queryURL).hexdigest())
if (cacheResult is not None):
print "Found cached loc"
return cacheResult
locFormData = []
locResponse = self.request.getResponse(queryURL, None)
jdata = json.loads(locResponse)
print json.dumps(jdata, indent=4)
formData = {}
locations = []
for id, item in enumerate(jdata):
item["score"] = Levenshtein.ratio(
item.get("location").get("name"), query)
if (area is not None):
if (item.get("location").get("parent_location").get(
"name").find(area) != -1):
formData = self.createSearchFormData(
item.get("location"), extra)
locations.append(item)
locFormData.append(formData)
else:
formData = self.createSearchFormData(item.get("location"),
extra)
locations.append(item)
locFormData.append(formData)
locations = sorted(locations, key=itemgetter('score'), reverse=True)
result = {
'search': locFormData,
'area': area,
'locations': locations
}
cache.locations[hashlib.md5(queryURL).hexdigest()] = result
return result
@cache.methodcache.cache('performSearch', expire=72000)
def performSearch(self, searchData):
hashkey = hashlib.md5(json.dumps(searchData,
sort_keys=True)).hexdigest()
cachedResult = cache.storage.get(hashkey)
if (cachedResult is not None):
print "Found cached searchResponse"
return cachedResult
print "Performing search on " + json.dumps(searchData, indent=4)
searchRequest = self.searchRequest(searchData)
searchResponse = self.request.getUnicodeDoc(searchRequest)
resultData = self.parseResult(searchResponse, self.resultFormat)
result = self.createResultItem(resultData)
print "Storing hash " + hashkey
chart_list = cache.storage.get(hashkey, {})
# metadata is the chart item minus the actual list plus a size
metadata_keys = filter(lambda k: k != 'list', result.keys())
metadata = {key: result[key] for key in metadata_keys}
chart_list[hashkey] = metadata
cache.storage[hashkey] = chart_list[hashkey]
return result
def parseResult(self, doc, brokers={}):
brokers = self.parseItems(
doc.xpath("//div[contains(@class, 'item result')]"), brokers)
nextpage = doc.xpath('//a[@class="next_page"]')
try:
url = nextpage[0].attrib["href"]
if url is not None:
self.log.info("Parsing %s" % url)
nextDoc = self.request.requestUnicodeDoc(self.baseUrl + url)
self.parseResult(nextDoc, brokers)
except Exception, e:
self.log.debug("ParseResult %s" % e)
pass
return brokers
class Hemnet() :
def __init__(self):
self.log = Logger("Hemnet");
self.request = Request();
#Base objects for searches and results
self.baseUrl = "http://www.hemnet.se";
self.baseSearch = self.baseUrl + "/sok/create";
self.baseLocation = self.baseUrl + "/locations/show?";
self.baseResult = self.baseUrl + "/resultat";
self.searchQuery = {}
#Basetype, english -> Swedish
self.translatedTypes = {
"municipality" : "Kommun",
"district" : u"Område",
"postal_city" : "Stadsdel",
"region" : u"Län",
"street" : "Gata",
"city" : "Stad"
}
#BaseAverageTypes -> Swedish
self.translatedAverageTypes = {
"age" : u"List ålder",
"price" : "Medelpris",
"price_m2" : u"Pris per m²",
"size" : u"Storlek (m²)",
"rooms" : "Antal rum",
"fee" : u"Månadsavgift",
"price_change_up" : u"Prisökning (%)",
"price_change_down" : u"Prissäkning (%)"
}
#searchTypes
self.searchTypes = {
"f" : "fritidshus",
"v" : "villa",
"t" : "tomt",
"r" : "radhus",
"g" : "gard",
"b" : "bostadsratt",
"o" : "other",
"a" : "all"
}
#Items to get average for
self.itemAverageTypes = {
"age" : 0,
"price" : 0,
"price_m2" : 0,
"size" : 0,
"rooms" : 0,
"fee" : 0,
"price_change_up" : 0,
"price_change_down" : 0
};
#Base result format
self.resultFormat = {
"totalItems" : 0,
"results" : {}
};
self.log.info("Initiated Hemnet");
'''
Searchdata is a formpost in a very specific format
'''
def createSearchFormData(self, data, specificType = 'a') :
locationData = [{
"id": (data.get("id")),
"name": (data.get("name")),
"parent_id": (data.get("parent_location").get("id")),
"parent_name": (data.get("parent_location").get("name"))
}]
searchData = {
"search[location_search]" : locationData,
"search[location_ids][]": data.get("id"),
"search[region_id]":-1,
"search[municipality_ids][]":-1,
"search[country_id]":0,
"search[item_types][]": "%s" % self.searchTypes[specificType],
"search[price_min]": '',
"search[price_max]": '',
"search[fee_max]": '',
"search[rooms_min]": '',
"search[living_area_min]": '',
"search[keywords]":'',
"commit": ''
}
return searchData;
def searchRequest(self, query) :
return self.request.postRequest(self.baseSearch, query);
'''
Pass a list of keys and a dict of data to caluclate average value for each key
'''
def avgByKey(self, keys, data):
final = {}
for d in data:
for k in d.keys():
if k in keys:
final[k] = final.get(k,0) + d[k]
for k in final.keys():
final[k] = final[k]/len(data);
return final;
def getLocationQueryURL(self, query):
return "%sq=%s" % (self.baseLocation, urllib.quote(query.encode('utf-8')))
@cache.methodcache.cache('findLocations', expire=72000)
def findLocations(self, query, extra, area = None) :
queryURL = self.getLocationQueryURL(query);
cacheResult = cache.locations.get(hashlib.md5(queryURL).hexdigest());
if( cacheResult is not None):
print "Found cached loc";
return cacheResult;
locFormData = []
locResponse = self.request.getResponse(queryURL, None)
jdata = json.loads(locResponse);
print json.dumps(jdata, indent=4);
formData = {}
locations = []
for id, item in enumerate(jdata) :
item["score"] = Levenshtein.ratio(item.get("location").get("name"), query)
if( area is not None ):
if( item.get("location").get("parent_location").get("name").find(area) != -1 ):
formData = self.createSearchFormData(item.get("location"), extra);
locations.append(item)
locFormData.append(formData);
else:
formData = self.createSearchFormData(item.get("location"), extra);
locations.append(item)
locFormData.append(formData);
locations = sorted(locations, key=itemgetter('score'), reverse=True)
result = {'search' : locFormData, 'area' : area, 'locations' : locations };
cache.locations[hashlib.md5(queryURL).hexdigest()] = result
return result;
@cache.methodcache.cache('performSearch', expire=72000)
def performSearch(self, searchData):
hashkey = hashlib.md5(
json.dumps(searchData, sort_keys=True)
).hexdigest();
cachedResult = cache.storage.get(hashkey);
if(cachedResult is not None):
print "Found cached searchResponse";
return cachedResult;
print "Performing search on " + json.dumps(searchData, indent=4);
searchRequest = self.searchRequest(searchData);
searchResponse = self.request.getUnicodeDoc(searchRequest);
resultData = self.parseResult(searchResponse, self.resultFormat);
result = self.createResultItem(resultData);
print "Storing hash " + hashkey;
chart_list = cache.storage.get(hashkey, {})
# metadata is the chart item minus the actual list plus a size
metadata_keys = filter(lambda k: k != 'list', result.keys())
metadata = { key: result[key] for key in metadata_keys }
chart_list[hashkey] = metadata
cache.storage[hashkey] = chart_list[hashkey]
return result;
def parseResult(self, doc, brokers = {}) :
brokers = self.parseItems(doc.xpath("//div[contains(@class, 'item result')]"), brokers);
nextpage = doc.xpath('//a[@class="next_page"]');
try:
url = nextpage[0].attrib["href"];
if url is not None:
self.log.info("Parsing %s" % url);
nextDoc = self.request.requestUnicodeDoc(self.baseUrl + url);
self.parseResult(nextDoc, brokers);
except Exception,e:
self.log.debug("ParseResult %s" % e)
pass;
return brokers;
def compare_files(file_set1, file_set2, data_folder_1, data_folder_2, config):
# Print info about the compared files
Logger.output("Directory1: {}\nDirectory2: {}".format(
data_folder_1, data_folder_2))
# Make sure this is flushed before multiprocessing starts, otherwise
# it may be written multiple times
# Passing "flush=True" is not enough if the output target is a file
Logger.flush_output()
comparator = FilesetComparator(files1, files2, config)
pairs = comparator.get_files_to_compare()
# When sorting , every value has to be computed before starting printing
delay_output = False
if config.sort_order.lower() == "distance":
delay_output = True
elif config.sort_order.lower() == "path":
delay_output = True
# Build a partial func by passing config and delay output, so the result
# can be used by pool.map
func = partial(_compare, config, delay_output)
# Use lock so lines aren't mixed up in output
lock = multiprocessing.Lock()
with multiprocessing.Pool(config.jobs,
initializer=_init_process,
initargs=(lock, )) as pool:
edits = pool.map(func, pairs)
edits = [edit for edit in edits if edit is not None]
# If necessary, sort and then output the result
Logger.progress("Generating output...")
if config.sort_order.lower() == "distance":
edits.sort(key=operator.itemgetter(2), reverse=True)
elif config.sort_order.lower() == "path":
edits.sort(key=operator.itemgetter(0), reverse=True)
if delay_output:
for edit in edits:
output_change(edit, config)
# Print info about the added and removed files
added_count = 0
for added in comparator.added_files:
added_count += 1
mime = "{} ({})".format(added.type["full"], added.type["mime"])
Logger.output("\nAdded: {}\nMime: {}".format(added.path, mime))
removed_count = 0
for removed in comparator.removed_files:
removed_count += 1
mime = "{} ({})".format(removed.type["full"], removed.type["mime"])
Logger.output("\nRemoved: {}\nMime: {}".format(removed.path, mime))
# Print overall statistics
Logger.info(
"\nFound {} added files, {} removed files and {} changed files ({} files in total)"
.format(added_count, removed_count, len(edits),
added_count + removed_count + len(edits)))
except Exception:
print(
"Must turn debugger on at port {}. See https://www.jetbrains.com/help/idea/remote-debugging-with-product.html#remote-debug-config"
.format(debuggerPort))
sys.exit()
# initialize.PyfyApp().run()
print("does this run now?")
if args.symbol:
symbol = args.symbol
Logger.trace("Symbol passed in: {}".format(args.symbol))
quote = iex.getQuote(symbol)
Logger.trace("Queried Symbol Quote is ...")
Logger.trace(quote)
if (quote != None):
Logger.info('Current Price: {}'.format(quote.get('latestPrice')))
Logger.info('PE Ratio: {}'.format(quote.get('peRatio')))
Logger.info('52-Week High: {}'.format(quote.get('week52High')))
Logger.info('52-Week Low: {}'.format(quote.get('week52Low')))
else:
Logger.error(
'Could not print symbol information for {}'.format(symbol))
if args.price_dates:
parsedDate = dateparser.parse(args.graphprice)
if (parsedDate.weekday() < 5):
graphs.byMinuteIntradayLineGraph(symbol, 'average', parsedDate)
else:
Logger.all('Provided date is not a weekday, the day was: ' +
parsedDate.strftime('%A'))
class ArbitrageProcess:
logger = None
open_order = False
exchanges_one = []
exchanges_two = []
exchange_manager = None
arbitrage_manager = None
bot_manager = None
arbitrage = None
bot = None
# TODO: maybe change to some config file
BALANCE_LIMIT = 0.002 # minimum balance needed on the exchange
def __init__(self, botId):
self.logger = Logger("arbitrage")
self.logger.info("#" + str(botId) + ": Initializing.")
self.bot_manager = BotManager()
self.exchange_manager = ExchangeManager()
self.arbitrage_manager = ArbitrageManager()
self.bot = self.bot_manager.get_bot(botId)
self.arbitrage = self.arbitrage_manager.get_arbitrage(botId)
def start_process(self):
"""
Start the arbitrage process by checking the balances on the exchanges first,
then making a verdict on the prices and if viable place an order, repeat.
"""
print(
strftime('%Y%m%d%H%M%S') + ' starting arbitrage process for bot#' +
str(self.bot.get_id()))
self.logger.info("#" + str(self.bot.get_id()) + ": Starting.")
while not self.open_order:
try:
if not self.exchanges_one or not self.exchanges_two:
self.init_exchanges()
if self.check_balance():
verdict = self.do_magic()
if verdict:
self.place_orders(verdict)
self.finish_bot()
except Exception as e:
print(strftime('%Y%m%d%H%M%S') + ' ' + str(e))
self.logger.info(str(e))
self.logger.info(traceback.format_exc())
# TODO: uncomment this line
# self.bot_manager.update_bot(self.bot.get_id, {Bot.BOT_STATUS: Bot.STATUS_ERROR})
break
print(
strftime('%Y%m%d%H%M%S') + ' finished arbitrage process for bot#' +
str(self.bot.get_id()))
self.logger.info("#" + str(self.bot.get_id()) + ": Finished.")
# TODO: uncomment this line
# self.bot_manager.update_bot(self.bot.get_id, {Bot.BOT_STATUS: Bot.STATUS_FINISHED})
def init_exchanges(self):
"""
Find the exchanges that are needed for the arbitrage
"""
exchange_one = self.fetch_exchanges(self.arbitrage.get_exchange_one())
exchange_two = self.fetch_exchanges(self.arbitrage.get_exchange_two())
if exchange_one and exchange_two:
self.exchanges_one = exchange_one
self.exchanges_two = exchange_two
else:
raise Exception("Exchanges not found.")
def fetch_exchanges(self, exchange):
"""
Fetch exchanges
:param exchange:
:return:
"""
if exchange == "all":
return self.exchange_manager.get_exchanges(
{Exchange.EXCHANGE_USER: self.bot.get_userid()})
else:
return self.exchange_manager.get_exchanges({
Exchange.EXCHANGE_USER:
self.bot.get_userid(),
Exchange.EXCHANGE_NAME:
exchange
})
def check_balance(self):
# TODO: might place this somewehere else for more process to acces? maybe an abstract class that each process can inherent
"""
Check balances on all exchanges
:return bool:
"""
exchanges = self.exchanges_one.copy()
exchanges.extend(self.exchanges_two)
for exchange in exchanges:
balance = self.exchange_manager.fetch_balance(
exchange, self.bot.get_pair())
if not balance or float(balance) < float(self.BALANCE_LIMIT):
raise Exception("Not enough balance on exchange '" +
exchange.get_name() + "' / '" + balance + "'.")
return True
def do_magic(self):
"""
Take exchange as base exchange (A) value,
loop through the other exchange (B) and compare value with base exchange,
if base exchange is value A significantly lower than B,
put base exchange A as BUY and exchange B as SELL.
"""
# TODO: check on fees, make a real arbitrage transaction and see what fees are applied
print("magic starts")
amount = float(self.bot.get_amount())
win_limit = float(self.bot.get_win_limit())
pair = self.bot.get_pair()
buy_and_sell = {}
for a_exchange in self.exchanges_one:
a_fee_percentage = self.exchange_manager.get_exchange_trading_fee(
a_exchange, pair, "maker") # maker costs in %
a_price = self.exchange_manager.get_market_price(
a_exchange, pair, "buy") # get price from base exchange
fee_maker = (
a_price * amount
) * a_fee_percentage # calculate the maker fee in 'base currency BTC/USD (BTC)?'
for b_exchange in self.exchanges_two: # now loop through the remainder of the exchanges
if b_exchange != a_exchange:
# TODO: INTERCHANGE THESE 2 IF's
# if b_exchange.get_id() != a_exchange.get_id():
b_fee_percentage = self.exchange_manager.get_exchange_trading_fee(
b_exchange, pair, "taker") # taker costs in %t
b_price = self.exchange_manager.get_market_price(
b_exchange, pair,
"sell") # get price from comparison exchange
fee_taker = (
b_price * amount
) * b_fee_percentage # calculate the taker fee in #?
turnover = (b_price -
a_price) * amount # calculate the turnover
total_fees = fee_maker + fee_taker # calculate the total fees
min_profit = (a_price * amount) * (
win_limit / float(100)
) # calculate the required profit
if (turnover - total_fees) > min_profit:
# if these exchanges make the required profit, set the list up to place the orders
buy_and_sell["buy"] = {
"exchange": a_exchange,
"price": a_price
}
buy_and_sell["sell"] = {
"exchange": b_exchange,
"price": b_price
}
return buy_and_sell
def place_orders(self, verdict):
"""
Place an order depending on the verdict.
Buy from exchange1 and sell to exchange 2 and vice versa.
:param verdict:
:return:
"""
print(verdict)
print("placing order")
# first do the buy order
buy_order = verdict["buy"]
buy_result = self.exchange_manager.place_order(buy_order["exchange"],
self.bot.get_pair(),
"buy",
self.bot.get_amount())
#TODO: CREATE ORDER MODEL WITH BUY TYPE
if not buy_result["id"]:
raise Exception("Could not place BUY order. " + buy_result["info"])
# then if it went sucessfully place the sell order
sell_order = verdict["sell"]
sell_result = self.exchange_manager.place_order(
sell_order["exchange"], self.bot.get_pair(), "sell",
self.bot.get_amount())
#TODO: CREATE ORDER MODEL WITH SELL TYPE
if not sell_result["id"]:
raise Exception("Could not place SELL order. " +
sell_result["info"])
self.open_order = True
def finish_bot(self):
"""
Set local open order variable to true so no new order will be placed for this bot
:return:
"""
#TODO: fetch the order data wait untill closed and save them in order DB?
self.bot.set_status(Bot.STATUS_FINISHED)
def worker(self, ip):
"""
:param ip: str IPv4 address to use in the request to update
"""
Logger.info(f"using IP {ip}")
def __init__(self, config):
Logger.info(config)
