BLD: [mktplace] switch to mainnet

BLD: Dockerfile[-dev]: s/quantopian/enigmampc/g

Dockerfile

@@ -1,11 +1,11 @@
 #
 # Dockerfile for an image with the currently checked out version of catalyst installed. To build:
 #
-#    docker build -t quantopian/catalyst .
+#    docker build -t enigmampc/catalyst .
 #
 # To run the container:
 #
-#    docker run -v /path/to/your/notebooks:/projects -v ~/.catalyst:/root/.catalyst -p 8888:8888/tcp --name catalyst -it quantopian/catalyst
+#    docker run -v /path/to/your/notebooks:/projects -v ~/.catalyst:/root/.catalyst -p 8888:8888/tcp --name catalyst -it enigmampc/catalyst
 #
 # To access Jupyter when running docker locally (you may need to add NAT rules):
 #

Dockerfile-dev

@@ -1,15 +1,15 @@
 #
 # Dockerfile for an image with the currently checked out version of catalyst installed. To build:
 #
-#    docker build -t quantopian/catalystdev -f Dockerfile-dev .
+#    docker build -t enigmampc/catalystdev -f Dockerfile-dev .
 #
-# Note: the dev build requires a quantopian/catalyst image, which you can build as follows:
+# Note: the dev build requires a enigmampc/catalyst image, which you can build as follows:
 #
-#    docker build -t quantopian/catalyst -f Dockerfile .
+#    docker build -t enigmampc/catalyst -f Dockerfile .
 #
 # To run the container:
 #
-#    docker run -v /path/to/your/notebooks:/projects -v ~/.catalyst:/root/.catalyst -p 8888:8888/tcp --name catalystdev -it quantopian/catalystdev
+#    docker run -v /path/to/your/notebooks:/projects -v ~/.catalyst:/root/.catalyst -p 8888:8888/tcp --name catalystdev -it enigmampc/catalystdev
 #
 # To access Jupyter when running docker locally (you may need to add NAT rules):
 #
@@ -25,7 +25,7 @@
 #
 #    docker exec -it catalystdev catalyst run -f /projects/my_algo.py --start 2015-1-1 --end 2016-1-1 /projects/result.pickle
 #
-FROM quantopian/catalyst
+FROM enigmampc/catalyst
 
 WORKDIR /catalyst
 

catalyst/constants.py

@@ -24,8 +24,7 @@ AUTO_INGEST = False
 
 AUTH_SERVER = 'https://data.enigma.co'
 
-# TODO: switch to mainnet
+ETH_REMOTE_NODE = 'https://mainnet.infura.io'
-ETH_REMOTE_NODE = 'https://rinkeby.infura.io/'
 
 MARKETPLACE_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/' \
                        'catalyst/master/catalyst/marketplace/' \
@@ -35,7 +34,6 @@ MARKETPLACE_CONTRACT_ABI = 'https://raw.githubusercontent.com/enigmampc/' \
                            'catalyst/master/catalyst/marketplace/' \
                            'contract_marketplace_abi.json'
 
-# TODO: switch to mainnet
 ENIGMA_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/' \
                   'catalyst/master/catalyst/marketplace/' \
                   'contract_enigma_address.txt'

catalyst/exchange/exchange_data_portal.py

@@ -1,5 +1,4 @@
 import abc
-import datetime
 
 import numpy as np
 import pandas as pd
@@ -301,34 +300,20 @@ class DataPortalExchangeBacktest(DataPortalExchangeBase):
         )
         adj_bar_count = candle_size * bar_count
 
-        if data_frequency == "minute":
+        if data_frequency == 'minute' and adj_data_frequency == 'daily':
-            # for minute frequency always request data until the
+            end_dt = end_dt.floor('1D')
-            # current minute (do not include the current minute)
-            last_dt_for_series = end_dt - datetime.timedelta(minutes=1)
-
-            # read the minute bundles for daily frequency to
-            # support last partial candle
-            # TODO: optimize this by applying this logic only for the last day
-            if adj_data_frequency == 'daily':
-                adj_data_frequency = 'minute'
-                adj_bar_count = adj_bar_count * 1440
-
-        else:  # data_frequency == "daily":
-            last_dt_for_series = end_dt
 
         series = bundle.get_history_window_series_and_load(
             assets=assets,
-            end_dt=last_dt_for_series,
+            end_dt=end_dt,
             bar_count=adj_bar_count,
             field=field,
             data_frequency=adj_data_frequency,
             algo_end_dt=self._last_available_session,
         )
 
-        start_dt = get_start_dt(last_dt_for_series, adj_bar_count,
+        start_dt = get_start_dt(end_dt, adj_bar_count, adj_data_frequency)
-                                adj_data_frequency, False)
         df = resample_history_df(pd.DataFrame(series), freq, field, start_dt)
-
         return df
 
     def get_exchange_spot_value(self,

docs/source/releases.rst

@@ -2,14 +2,6 @@
 Release Notes
 =============
 
-Version 0.5.8
-^^^^^^^^^^^^^
-**Release Date**: 2018-03-29
-
-Bug Fixes
-~~~~~~~~~
-- Fix Data Marketplace release on mainnet
-
 Version 0.5.7
 ^^^^^^^^^^^^^
 **Release Date**: 2018-03-29
@@ -22,7 +14,7 @@ Build
 
 Bug Fixes
 ~~~~~~~~~
-- fixes in storing and loading the state :issue:`214`, 
+- Added arguments to the ``reduce`` function in tha Asset class :issue:`214`, 
   :issue:`287`
 
 Version 0.5.6

etc/python2.7-environment.yml

@@ -5,7 +5,6 @@ channels:
 dependencies:
 - certifi=2016.2.28=py27_0
 - mkl=2017.0.3
-- matplotlib=2.1.2=py36_0
 - numpy=1.13.1=py27_0
 - openssl=1.0.2l
 - pip=9.0.1=py27_1
@@ -40,7 +39,7 @@ dependencies:
   - lru-dict==1.1.6
   - mako==1.0.7
   - markupsafe==1.0
-  - matplotlib==2.1.0
+  - matplotlib==2.1.2
   - multipledispatch==0.4.9
   - networkx==2.0
   - numexpr==2.6.4