The Pythonic Financial Information eXchange client for humans.
Project description
WTFIX
The Pythonic Financial Information eXchange client for humans.
Project Highlights
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Pure Python3.
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Batteries included - everything you need to connect to a FIX server and start sending and receiving messages in minutes.
- Authentication
- Maintaining a heartbeat
- Sequence number management and resend requests
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Fast, easy to understand message processing pipeline based on a modern
async and await
implementation. -
Easily extendable architecture - modular 'apps' can be added to the pipeline stack to add new application logic.
PIPELINE_APPS = [ "my_app.apps.SecretAlgoTradingRecipe", # <-- Your application logic "wtfix.apps.admin.HeartbeatApp", # Heartbeat monitoring and maintenance "wtfix.apps.admin.AuthenticationApp", # Login / logout handling "wtfix.apps.admin.SeqNumManagerApp", # Message gap detection and filling "wtfix.apps.parsers.RawMessageParserApp", # Message parsing: Logon (A): {BeginString (8):FIX.4.4 | BodyLength (9):99 | MsgType (35):A | MsgSeqNum (34):1 | SenderCompID (49):SENDER | SendingTime (52):20190305-08:45:45.979 | TargetCompID (56):TARGET | EncryptMethod (98):0 | HeartBtInt (108):30 | Username (553):USERNAME | Password (554):PASSWORD | ResetSeqNumFlag (141):Y | CheckSum (10):94} "wtfix.apps.wire.WireCommsApp", # Raw message encoding / decoding: b'8=FIX.4.4\x019=99\x0135=A\x0134=1\x0149=SENDER\x0152=20190305-08:42:32.793\x0156=TARGET\x0198=0\x01108=30\x01553=USERNAME\x01554=PASSWORD\x01141=Y\x0110=081\x01' "wtfix.apps.sessions.ClientSessionApp", # HTTP session management ]
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Convenient message hooks for adding new apps to the message processing pipeline:
from wtfix.apps.base import MessageTypeHandlerApp, on from wtfix.protocol.common import MsgType from wtfix.conf import logger class SecretAlgoTradingRecipe(MessageTypeHandlerApp): @on(MsgType.Logon) # Only invokved when 'Logon (type A)' messages are received. def on_logon(self, message): self.send_security_definition_request() return message def on_receive(self, message): # Invoked for every type of message logger.info(f"Received message {message}!")
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A Message tag syntax with convenience methods that are kind to humans. Example
Logon
message:>>> from wtfix.message import admin >>> from wtfix.protocol.common import Tag >>> logon_msg = admin.LogonMessage("my_username", "my_password", heartbeat_int=b"30") # Determining the message type >>> logon_msg.type 'A' >>> logon_msg.name 'Logon' >>> logon_msg.seq_num 1 # Various ways for accessing message tags >>> logon_msg[108] # Using old school tag number (108, b"30") >>> logon_msg[Tag.HeartBtInt] # Using Tag name as per FIX specification (108, b"30") >>> logon_msg.HeartBtInt # Using shortcut approach (108, b"30")
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A unicode sandwich based approach means that you do not need to deal with bytestrings...
# Duck typing for doing tag value comparisons >>> logon_msg.HeartBtInt == 30 True >>> logon_msg.HeartBtInt == "30" True >>> logon_msg.HeartBtInt == b"30" True
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...unless you want to:
# Accessing the underlying byte string >>> logon_msg.HeartBtInt.value_ref.value b'30' >>> logon_msg.raw b'35=A\x0198=0\x01108=30\x01553=my_username\x01554=my_password\x01'
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...with on the fly type conversions:
>>> logon_msg.HeartBtInt.as_str '30' >>> logon_msg.HeartBtInt.as_int 30
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A very forgiving approach to repeating groups of message tags:
from wtfix.message.message import generic_message_factory # If you provide a group template, then messages are stored in a more efficient 'OrderedDict' >>> msg = generic_message_factory((1, "a"), (2, 2), (3, "1st_group_tag3"), (4, "1st_group_tag_4"), (3, "2nd_group_tag3"), (4, "2nd_group_tag_4"), group_templates={2: [3, 4,]}) >>> msg_.fields OrderedDict([(1, (1, a)), (2, [(2, 2)]:[(3, 1st_group_tag3), (4, 1st_group_tag_4)], [(3, 2nd_group_tag3), (4, 2nd_group_tag_4)])]) # ...providing fast group and group instance lookups: >>> group = msg.get_group(2) # Determine the number of instances in the group >>> group.size 2 # Retrive the second group instance >>> group.instances[1] [(3, 2nd_group_tag3), (4, 2nd_group_tag_4)] # Without a pre-defined group template we fall back to using a (slightly slower) list structure for representing message fields internally >>> msg = generic_message_factory((1, "a"), (2, 2), (3, "1st_group_tag3"), (4, "1st_group_tag_4"), (3, "2nd_group_tag3"), (4, "2nd_group_tag_4")) >>> msg_.fields [(1, a), (2, 2), (3, 1st_group_tag3), (4, 1st_group_tag_4), (3, 2nd_group_tag3), (4, 2nd_group_tag_4)]
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