This seems to have been broken in refactoring from commit 279c899de5
which was never tested against multiple accounts/clients.
The fix is 2 part:
- position tables are now correctly loaded ahead of time and used by
account for each connected client in processing of ledgers and
existing positions.
- a task for each API client is started (as implemented prior) so that
we actually get status updates for every client used for submissions.
Further we add a bit of code using `bisect.insort()` to normalize
ledgers to a datetime sorted list records (though pretty sure the `dict`
transform ruins it?) in an effort to avoid issues with ledger
transaction processing with previously minimized `Position.clears`
tables, which should (but might not?) avoid incorporating clear events
prior to the last "net-zero" positioning state.
This firstly changes `.audit_sizing()` => `.ensure_state()` and makes it
return `None` as well as only error when split ratio denoted (via
config) positions do not size as expected.
Further refinements,
- add an `.expired()` predicate method
- always return a size of zero from `.calc_size()` on expired assets
- load each `pps.toml` entry's clear tabe into `Transaction`s and use
`.add_clear()` during from config init.
In order to avoid issues with reloading ledger and API trades after an
existing `pps.toml` exists we have to make sure we not only avoid
duplicate entries but also avoid re-adding entries that would have been
removed during a prior call to the `Position.minimize_clears()` filter.
The easiest way to do this is to sort on timestamps and avoid adding any
record that pre-existed the last net-zero position ledger event that
`.minimize_clears()` discarded. In order to implement this it means
parsing config file clears table's timestamps into datetime objects for
inequality checks and we add a `Position.first_clear_dt` attr for
storing this value when managing pps in object form but never store it
in the config (since it should be obviously from the sorted clear event
table).
The (partial) fills from this sub are most indicative of clears (also
says support) whereas the msgs in the `ownTrades` sub are only emitted
after the entire order request has completed - there is no size-vlm
remaining.
Further enhancements:
- this also includes proper subscription-syncing inside `subscribe()` with
a small pre-msg-loop which waits on ack-msgs for each sub and raises any
errors. This approach should probably be implemented for the data feed
streams as well.
- configure the `ownTrades` sub to not bother sending historical data on
startup.
- make the `openOrders` sub include rate limit counters.
- handle the rare case where the ems is trying to cancel an order which
was just edited and hasn't yet had it's new `txid` registered.
Since we figured out how to pass through ems dialog ids to the
`openOrders` sub we don't really need to do much with status updates
other then error handling. This drops `process_status()` and moves the
error handling logic into a status handler sub-block; we now just
info-log status updates for troubleshooting purposes.
Why we need so many fields to accomplish passing through a dialog key to
orders is beyond me but this is how they do it with edits..
Allows not having to handle `editOrderStatus` msgs to update the dialog
key table and instead just do it in the `openOrders` sub by checking the
canceled msg for a 'cancel_reason' of 'Order replaced', in which case we
just pop the txid and wait for the new order the kraken backend engine
will submit automatically, which will now have the correct 'userref'
value we passed in via the `newuserref`, and then we add that new `txid`
to our table.
Turns out you can pass both thus making mapping an ems `oid` to
a brokerd-side `reqid` much more simple. This allows us to avoid keeping
as much local dialog state but with still the following caveats:
- ok `editOrder` msgs must update the reqid<->txid map
- only pop `reqids2txids` entries inside the `cancelOrderStatus` handler
If we don't have a pos table built out already (in mem) we can't figure
out the likely dst asset (since there's no pair entry to guide us) that
we should use to search for withdrawal transactions; so move it later.
Further this ports to the new api changes in `piker.pp`` that will land
with #365.
This ended up driving the rework of the `piker.pp` apis to use context
manager + table style which resulted in a much easier to follow
state/update system B). Also added is a flag to do a manual simulation
of a "fill triggered rt pp msg" which requires the user to delete the
last ledgered trade entry from config files and then allowing that trade
to emit through the `openOrders` sub and update client shortly after
order mode boot; this is how the rt updates were verified to work
without doing even more live orders 😂.
Patch details:
- open both `open_trade_ledger()` and `open_pps()` inside the trade
dialog startup and conduct a "pp state sync" logic phase where we now
pull the account balances and incrementally load pp data (in order,
from `pps.toml`, ledger, api) until we can generate the asset balance
by reverse incrementing through trade history eventually erroring out
if we can't reproduce the balance value.
- rework the `trade2pps()` to take in the `PpTable` and generate new
ems msgs from table updates.
- return the new `dict[str, Transaction]` expected from
`norm_trade_records()`
- only update pp config and ledger on dialog exit.
Since our ems doesn't actually do blocking style client-side submission
updates, thus resulting in the client being able to update an existing
order's state before knowing its current state, we can run into race
conditions where for some backends an order is updated using the wrong
order id. For kraken we manually implement detecting this race (lol, for
now anyway) such that when a new client side edit comes in before the
new `txid` is known, we simply expect the handler loop to cancel the
order. Further this adds cancellation on arbitrary status errors, like
rate limits.
Also this adds 2 leg (ems <-> brokerd <-> kraken) msg tracing using
a `collections.ChainMap` which is likely going to end up being the POC
for a more general data structure recommended for backends that need to
trace msg flow for translation with the ems.
goodboy
Tyler Goodlet
Guillermo Rodriguez