kraken: handle ws live trading API symbology

Of course I missed this first try but, we need to use the ws market pair
symbology set (since apparently kraken loves redundancy at least 3 times
XD) when processing transactions that arrive from live clears since it's
an entirely different `LTC/EUR` style key then the `XLTCEUR` style
delivered from the ReST eps..

As part of this:
- add `Client._altnames`, `._wsnames` as `dict[str, Pair]` tables,
  leaving the `._AssetPairs` table as is keyed by the "xname"s.
- Change `Pair.respname: str` -> `.xname` since these keys all just seem
  to have a weird 'X' prefix.
- do the appropriately keyed pair table lookup via a new `api_name_set:
  str` to `norm_trade_records()` and set is correctly in the ws live txn
  handler task.

piker/brokers/kraken/api.py

@@ -106,16 +106,19 @@ class InvalidKey(ValueError):
 
 class Client:
 
-    # symbol mapping from all names to the altname
+    # assets and mkt pairs are key-ed by kraken's ReST response
-    _altnames: dict[str, str] = {}
+    # symbol-bs_mktids (we call them "X-keys" like fricking
-
+    # "XXMRZEUR"). these keys used directly since ledger endpoints
-    # key-ed by kraken's own bs_mktids (like fricking "XXMRZEUR")
+    # return transaction sets keyed with the same set!
-    # with said keys used directly from EP responses so that ledger
-    # parsing can be easily accomplished from both trade-event-msgs
-    # and offline toml files
     _Assets: dict[str, Asset] = {}
     _AssetPairs: dict[str, Pair] = {}
 
+    # offer lookup tables for all .altname and .wsname
+    # to the equivalent .xname so that various symbol-schemas
+    # can be mapped to `Pair`s in the tables above.
+    _altnames: dict[str, str] = {}
+    _wsnames: dict[str, str] = {}
+
     # key-ed by `Pair.bs_fqme: str`, and thus used for search
     # allowing for lookup using piker's own FQME symbology sys.
     _pairs: dict[str, Pair] = {}
@@ -209,8 +212,8 @@ class Client:
         by_bsmktid: dict[str, dict] = resp['result']
 
         balances: dict = {}
-        for respname, bal in by_bsmktid.items():
+        for xname, bal in by_bsmktid.items():
-            asset: Asset = self._Assets[respname]
+            asset: Asset = self._Assets[xname]
 
             # TODO: which KEY should we use? it's used to index
             # the `Account.pps: dict` ..
@@ -367,7 +370,6 @@ class Client:
             asset_key: str = entry['asset']
             asset: Asset = self._Assets[asset_key]
             asset_key: str = asset.name.lower()
-            # asset_key: str = self._altnames[asset_key].lower()
 
             # XXX: this is in the asset units (likely) so it isn't
             # quite the same as a commisions cost necessarily..)
@@ -473,25 +475,31 @@ class Client:
             if err:
                 raise SymbolNotFound(pair_patt)
 
-            # NOTE: we key pairs by our custom defined `.bs_fqme`
+            # NOTE: we try to key pairs by our custom defined
-            # field since we want to offer search over this key
+            # `.bs_fqme` field since we want to offer search over
-            # set, callers should fill out lookup tables for
+            # this pattern set, callers should fill out lookup
-            # kraken's bs_mktid keys to map to these keys!
+            # tables for kraken's bs_mktid keys to map to these
-            for key, data in resp['result'].items():
+            # keys!
-                pair = Pair(respname=key, **data)
+            # XXX: FURTHER kraken's data eng team decided to offer
+            # 3 frickin market-pair-symbol key sets depending on
+            # which frickin API is being used.
+            # Example for the trading pair 'LTC<EUR'
+            # - the "X-key" from rest eps 'XLTCZEUR'
+            # - the "websocket key" from ws msgs is 'LTC/EUR'
+            # - the "altname key" also delivered in pair info is 'LTCEUR'
+            for xkey, data in resp['result'].items():
 
-                # always cache so we can possibly do faster lookup
+                # NOTE: always cache in pairs tables for faster lookup
-                self._AssetPairs[key] = pair
+                pair = Pair(xname=xkey, **data)
 
-                bs_fqme: str = pair.bs_fqme
+                # register the above `Pair` structs for all
-
+                # key-sets/monikers: a set of 4 (frickin) tables
-                self._pairs[bs_fqme] = pair
+                # acting as a combined surjection of all possible
-
+                # (and stupid) kraken names to their `Pair` obj.
-                # register the piker pair under all monikers, a giant flat
+                self._AssetPairs[xkey] = pair
-                # surjection of all possible (and stupid) kraken names to
+                self._pairs[pair.bs_fqme] = pair
-                # the FMQE style piker key.
+                self._altnames[pair.altname] = pair
-                self._altnames[pair.altname] = bs_fqme
+                self._wsnames[pair.wsname] = pair
-                self._altnames[pair.wsname] = bs_fqme
 
         if pair_patt is not None:
             return next(iter(self._pairs.items()))[1]
@@ -506,12 +514,13 @@ class Client:
         Load all market pair info build and cache it for downstream
         use.
 
-        An ``._altnames: dict[str, str]`` is available for looking
+        Multiple pair info lookup tables (like ``._altnames:
-        up the piker-native FQME style `Pair.bs_fqme: str` for any
+        dict[str, str]``) are created for looking up the
-        input of the three (yes, it's that idiotic) available
+        piker-native `Pair`-struct from any input of the three
-        key-sets that kraken frickin offers depending on the API
+        (yes, it's that idiotic..) available symbol/pair-key-sets
-        including the .altname, .wsname and the weird ass default
+        that kraken frickin offers depending on the API including
-        set they return in rest responses..
+        the .altname, .wsname and the weird ass default set they
+        return in ReST responses .xname..
 
         '''
         if (
@@ -628,7 +637,7 @@ class Client:
     def to_bs_fqme(
         cls,
         pair_str: str
-    ) -> tuple[str, Pair]:
+    ) -> str:
         '''
         Normalize symbol names to to a 3x3 pair from the global
         definition map which we build out from the data retreived from
@@ -636,7 +645,7 @@ class Client:
 
         '''
         try:
-            return cls._altnames[pair_str.upper()]
+            return cls._altnames[pair_str.upper()].bs_fqme
         except KeyError as ke:
             raise SymbolNotFound(f'kraken has no {ke.args[0]}')
 

piker/brokers/kraken/broker.py

@@ -513,6 +513,7 @@ async def open_trade_dialog(
             ledger_trans: dict[str, Transaction] = await norm_trade_records(
                 ledger,
                 client,
+                api_name_set='xname',
             )
 
             if not acnt.pps:
@@ -534,6 +535,7 @@ async def open_trade_dialog(
             api_trans: dict[str, Transaction] = await norm_trade_records(
                 tids2trades,
                 client,
+                api_name_set='xname',
             )
 
             # retrieve kraken reported balances
@@ -743,6 +745,7 @@ async def handle_order_updates(
                 new_trans = await norm_trade_records(
                     trades,
                     client,
+                    api_name_set='wsname',
                 )
                 ppmsgs = trades2pps(
                     acnt,

piker/brokers/kraken/ledger.py

@@ -64,9 +64,19 @@ def norm_trade(
         'sell': -1,
     }[record['type']]
 
-    rest_pair_key: str = record['pair']
+    # NOTE: this value may be either the websocket OR the rest schema
-    pair: Pair = pairs[rest_pair_key]
+    # so we need to detect the key format and then choose the
+    # correct symbol lookup table to evetually get a ``Pair``..
+    # See internals of `Client.asset_pairs()` for deats!
+    src_pair_key: str = record['pair']
 
+    # XXX: kraken's data engineering is soo bad they require THREE
+    # different pair schemas (more or less seemingly tied to
+    # transport-APIs)..LITERALLY they return different market id
+    # pairs in the ledger endpoints vs. the websocket event subs..
+    # lookup pair using appropriately provided tabled depending
+    # on API-key-schema..
+    pair: Pair = pairs[src_pair_key]
     fqme: str = pair.bs_fqme.lower() + '.kraken'
 
     return Transaction(
@@ -83,6 +93,7 @@ def norm_trade(
 async def norm_trade_records(
     ledger: dict[str, Any],
     client: Client,
+    api_name_set: str = 'xname',
 
 ) -> dict[str, Transaction]:
     '''
@@ -97,11 +108,16 @@ async def norm_trade_records(
         # mkt: MktPair = (await get_mkt_info(manual_fqme))[0]
         # fqme: str = mkt.fqme
         # assert fqme == manual_fqme
+        pairs: dict[str, Pair] = {
+            'xname': client._AssetPairs,
+            'wsname': client._wsnames,
+            'altname': client._altnames,
+        }[api_name_set]
 
         records[tid] = norm_trade(
             tid,
             record,
-            pairs=client._AssetPairs,
+            pairs=pairs,
         )
 
     return records

piker/brokers/kraken/symbols.py

@@ -43,7 +43,7 @@ from piker.accounting._mktinfo import (
 
 # https://www.kraken.com/features/api#get-tradable-pairs
 class Pair(Struct):
-    respname: str  # idiotic bs_mktid equiv i guess?
+    xname: str  # idiotic bs_mktid equiv i guess?
     altname: str  # alternate pair name
     wsname: str  # WebSocket pair name (if available)
     aclass_base: str  # asset class of base component
@@ -94,7 +94,7 @@ class Pair(Struct):
         make up their minds on a better key set XD
 
         '''
-        return self.respname
+        return self.xname
 
     @property
     def price_tick(self) -> Decimal:

piker/data/_web_bs.py

@@ -234,10 +234,13 @@ async def _reconnect_forever(
             f'{url} trying (RE)CONNECT'
         )
 
-        async with trio.open_nursery() as n:
-            cs = nobsws._cs = n.cancel_scope
         ws: WebSocketConnection
-            async with open_websocket_url(url) as ws:
+        try:
+            async with (
+                trio.open_nursery() as n,
+                open_websocket_url(url) as ws,
+            ):
+                cs = nobsws._cs = n.cancel_scope
                 nobsws._ws = ws
                 log.info(
                     f'{src_mod}\n'
@@ -269,9 +272,11 @@ async def _reconnect_forever(
                 # to let tasks run **inside** the ws open block above.
                 nobsws._connected.set()
                 await trio.sleep_forever()
+        except HandshakeError:
+            log.exception(f'Retrying connection')
+
+        # ws & nursery block ends
 
-            # ws open block end
-        # nursery block end
         nobsws._connected = trio.Event()
         if cs.cancelled_caught:
             log.cancel(
@@ -284,7 +289,8 @@ async def _reconnect_forever(
                 and not nobsws._connected.is_set()
             )
 
-        # -> from here, move to next reconnect attempt
+        # -> from here, move to next reconnect attempt iteration
+        # in the while loop above Bp
 
     else:
         log.exception(