def main():
# Create credentials for use with an secured channel
creds = grpc.ssl_channel_credentials(open(PATH_TO_CERT_FILE, 'rb').read())
# Initialize GRPC channel
channel = grpc.secure_channel(SERVER_ADDRESS, creds)
# create stub
stub = types_pb2_grpc.HistoricDataStub(channel)
# create timeframe
now = time.time()
seconds = int(now)
to_time = timestamp_pb2.Timestamp(seconds=seconds)
from_time = timestamp_pb2.Timestamp(seconds=to_time.seconds -
int(86400 / 4)) # last 6 hours
# in our case we have to use kwarg because `from` is
# is recognized as python keyword so there would syntax be error
# if you want get value you have to use getattr()
historic_request_kwargs = {
'from': from_time,
'to': to_time,
'filter': types_pb2.AssetsFilter(assets=['BTC', 'ETH'],
all_assets=False)
}
req = types_pb2.HistoricRequest(**historic_request_kwargs)
article_stream = stub.HistoricArticles(req)
for article in article_stream:
print(article.base.id, article.base.title)
def main():
assert TOKEN != '', 'You need to set TOKEN. To obtain your token visit https://cryptomood.com/business/products/sentiment-analysis-api/.'
# Create credentials for use with an secured channel
credentials = grpc.ssl_channel_credentials(open(PATH_TO_CERT_FILE, 'rb').read())
call_credentials = grpc.access_token_call_credentials(TOKEN)
credentials = grpc.composite_channel_credentials(credentials, call_credentials)
channel = grpc.secure_channel(SERVER_ADDRESS, credentials)
# create stub
stub = types_pb2_grpc.HistoricDataStub(channel)
# create timeframe
now = time.time()
seconds = int(now)
to_time = timestamp_pb2.Timestamp(seconds=seconds)
from_time = timestamp_pb2.Timestamp(seconds=to_time.seconds - int(86400 / 4)) # last 6 hours
# in our case we have to use kwarg because `from` is
# is recognized as python keyword so there would syntax be error
# if you want get value you have to use getattr()
historic_request_kwargs = { 'from': from_time, 'to': to_time,
'filter': types_pb2.AssetsFilter(assets=['BTC', 'ETH'], all_assets=False)}
req = types_pb2.HistoricRequest(**historic_request_kwargs)
article_stream = stub.HistoricArticles(req)
for article in article_stream:
print(article.base.id, article.base.title)
def main():
# Create credentials for use with an secured channel
credentials = grpc.ssl_channel_credentials(
open(PATH_TO_CERT_FILE, 'rb').read())
# uncomment commands below if token auth is required
# call_credentials = grpc.access_token_call_credentials('YOUR_TOKEN')
# credentials = grpc.composite_channel_credentials(credentials, call_credentials)
channel = grpc.secure_channel(SERVER_ADDRESS, credentials)
# create stub
stub = types_pb2_grpc.HistoricDataStub(channel)
# create timeframe
now = time.time()
seconds = int(now)
to_time = timestamp_pb2.Timestamp(seconds=seconds)
from_time = timestamp_pb2.Timestamp(seconds=to_time.seconds -
int(86400 / 4)) # last 6 hours
# in our case we have to use kwarg because `from` is
# is recognized as python keyword so there would syntax be error
# if you want get value you have to use getattr()
historic_request_kwargs = {
'from': from_time,
'to': to_time,
'filter': types_pb2.AssetsFilter(assets=['BTC', 'ETH'],
all_assets=False)
}
req = types_pb2.HistoricRequest(**historic_request_kwargs)
reddit_stream = stub.HistoricRedditPosts(req)
for reddit in reddit_stream:
print(reddit.base.id, reddit.base.content)
def main():
assert TOKEN != '', 'You need to set TOKEN. To obtain your token visit https://cryptomood.com/business/products/sentiment-analysis-api/.'
# Create credentials for use with an secured channel
credentials = grpc.ssl_channel_credentials(
open(PATH_TO_CERT_FILE, 'rb').read())
call_credentials = grpc.access_token_call_credentials(TOKEN)
credentials = grpc.composite_channel_credentials(credentials,
call_credentials)
channel = grpc.secure_channel(SERVER_ADDRESS, credentials)
# create stub
stub = types_pb2_grpc.SentimentsStub(channel)
# create request
req = types_pb2.AggregationCandleFilter(
resolution='M1',
assets_filter=types_pb2.AssetsFilter(assets=['BTC'], all_assets=False))
# Response-streaming RPC
candle_stream = stub.SubscribeSocialSentiment(req)
for candle in candle_stream:
# attributes are same as defined in proto messages
print(candle.id, candle.a)
def main():
# Create credentials for use with an secured channel
creds = grpc.ssl_channel_credentials(open(PATH_TO_CERT_FILE, 'rb').read())
# Initialize GRPC channel
channel = grpc.secure_channel(SERVER_ADDRESS, creds)
# create stub
stub = types_pb2_grpc.MessagesProxyStub(channel)
# create request
assets_filter = types_pb2.AssetsFilter(assets = ['BTC'], all_assets = False)
# Response-streaming RPC
telegram_stream = stub.SubscribeTelegram(assets_filter)
for telegram in telegram_stream:
# attributes are same as defined in proto messages
print(telegram.user_message.base.id, telegram.user_message.message)
def main():
# Create credentials for use with an secured channel
creds = grpc.ssl_channel_credentials(open(PATH_TO_CERT_FILE, 'rb').read())
# Initialize GRPC channel
channel = grpc.secure_channel(SERVER_ADDRESS, creds)
# create stub
stub = types_pb2_grpc.SentimentsStub(channel)
# create request
req = types_pb2.AggregationCandleFilter(
resolution='M1',
assets_filter=types_pb2.AssetsFilter(assets=['BTC'], all_assets=False))
# Response-streaming RPC
candle_stream = stub.SubscribeNewsSentiment(req)
for candle in candle_stream:
# attributes are same as defined in proto messages
print(candle.id, candle.a)
def main():
# Create credentials for use with an secured channel
credentials = grpc.ssl_channel_credentials(open(PATH_TO_CERT_FILE, 'rb').read())
# uncomment commands below if token auth is required
# call_credentials = grpc.access_token_call_credentials('YOUR_TOKEN')
# credentials = grpc.composite_channel_credentials(credentials, call_credentials)
channel = grpc.secure_channel(SERVER_ADDRESS, credentials))
# create stub
stub = types_pb2_grpc.MessagesProxyStub(channel)
# create request
assets_filter = types_pb2.AssetsFilter(assets = ['BTC'], all_assets = False)
# Response-streaming RPC
tweet_stream = stub.SubscribeTweet(assets_filter)
for tweet in tweet_stream:
# attributes are same as defined in proto messages
print(tweet.id, tweet.content)
def main():
# Create credentials for use with an secured channel
credentials = grpc.ssl_channel_credentials(open(PATH_TO_CERT_FILE, 'rb').read())
# uncomment commands below if token auth is required
# call_credentials = grpc.access_token_call_credentials('YOUR_TOKEN')
# credentials = grpc.composite_channel_credentials(credentials, call_credentials)
channel = grpc.secure_channel(SERVER_ADDRESS, credentials)
# create stub
stub = types_pb2_grpc.SentimentsStub(channel)
# create request
req = types_pb2.AggregationCandleFilter(resolution='M1', assets_filter=types_pb2.AssetsFilter(assets = ['BTC'], all_assets = False))
# Response-streaming RPC
candle_stream = stub.SubscribeNewsSentiment(req)
for candle in candle_stream:
# attributes are same as defined in proto messages
print(candle.id, candle.a)
def main():
assert TOKEN != '', 'You need to set TOKEN. To obtain your token visit https://cryptomood.com/business/products/sentiment-analysis-api/.'
# Create credentials for use with an secured channel
credentials = grpc.ssl_channel_credentials(open(PATH_TO_CERT_FILE, 'rb').read())
call_credentials = grpc.access_token_call_credentials(TOKEN)
credentials = grpc.composite_channel_credentials(credentials, call_credentials)
channel = grpc.secure_channel(SERVER_ADDRESS, credentials)
# create stub
stub = types_pb2_grpc.MessagesProxyStub(channel)
# create request
assets_filter = types_pb2.AssetsFilter(assets = ['BTC'], all_assets = False)
# Response-streaming RPC
article_stream = stub.SubscribeArticle(assets_filter)
for article in article_stream:
# attributes are same as defined in proto messages
print(article.base.id, article.base.content)
