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 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 / 24)) # last hour
# 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()}
sentiment_historic_request_kwargs = { 'from': from_time, 'to': to_time, 'resolution': 'M1', 'asset': 'BTC' }
req = types_pb2.SentimentHistoricRequest(**sentiment_historic_request_kwargs)
candle_stream = stub.HistoricSocialSentiment(req)
for candle in candle_stream:
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.SentimentsStub(channel)
# create timeframe
now = time.time()
seconds = int(now)
to_time = timestamp_pb2.Timestamp(seconds=seconds - int(86400 / 6))
from_time = timestamp_pb2.Timestamp(seconds=to_time.seconds - int(2 * 86400)) # last two days
# 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()}
sentiment_historic_request_kwargs = { 'from': from_time, 'to': to_time, 'resolution': 'D1', 'asset': 'BTC' }
req = types_pb2.SentimentHistoricRequest(**sentiment_historic_request_kwargs)
candle_stream = stub.HistoricSocialSentiment(req)
for candle in candle_stream:
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.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 get_historic_socials_sentiment(channel, requests):
# create stub
stub = types_pb2_grpc.SentimentsStub(channel=channel)
candle_wrapper = []
for i, req in enumerate(requests):
candle_wrapper.append([])
candle_stream = stub.HistoricSocialSentiment(req)
for candle in candle_stream:
candle_wrapper[i].append(candle)
return candle_wrapper
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.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)
