telegram refactor 1/

move out freqcode from telegram

freqtrade/rpc/__init__.py

@@ -1,5 +1,11 @@
 import logging
+import re
+import arrow
+from pandas import DataFrame
 
+from freqtrade.persistence import Trade
+from freqtrade.misc import State, get_state
+from freqtrade import exchange
 from . import telegram
 
 logger = logging.getLogger(__name__)
@@ -40,3 +46,50 @@ def send_msg(msg: str) -> None:
     logger.info(msg)
     if 'telegram' in REGISTERED_MODULES:
         telegram.send_msg(msg)
+
+
+def shorten_date(_date):
+    """
+    Trim the date so it fits on small screens
+    """
+    new_date = re.sub('seconds?', 'sec', _date)
+    new_date = re.sub('minutes?', 'min', new_date)
+    new_date = re.sub('hours?', 'h', new_date)
+    new_date = re.sub('days?', 'd', new_date)
+    new_date = re.sub('^an?', '1', new_date)
+    return new_date
+
+
+#
+# Below follows the RPC backend
+# it is prefixed with rpc_
+# to raise awareness that it is
+# a remotely exposed function
+
+
+def rpc_status_table():
+    trades = Trade.query.filter(Trade.is_open.is_(True)).all()
+    if get_state() != State.RUNNING:
+        return (True, '*Status:* `trader is not running`')
+    elif not trades:
+        return (True, '*Status:* `no active order`')
+    else:
+        trades_list = []
+        for trade in trades:
+            # calculate profit and send message to user
+            current_rate = exchange.get_ticker(trade.pair, False)['bid']
+            trades_list.append([
+                trade.id,
+                trade.pair,
+                shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
+                '{:.2f}%'.format(100 * trade.calc_profit_percent(current_rate))
+            ])
+
+        columns = ['ID', 'Pair', 'Since', 'Profit']
+        df_statuses = DataFrame.from_records(trades_list, columns=columns)
+        df_statuses = df_statuses.set_index(columns[0])
+        # The style used throughout is to return a tuple
+        # consisting of (error_occured?, result)
+        # Another approach would be to just return the
+        # result, or raise error
+        return (False, df_statuses)