Moar `.accounting` tweaks

- start flipping over internals to `Position.cumsize`
- allow passing in a `_mktmap_table` to `Account.update_from_ledger()`
  for cases where the caller wants to per-call-dyamically insert the
  `MktPair` via a one-off table (cough IB).
- use `polars.from_dicts()` in `.calc.open_ledger_dfs()`. and wrap the
  whole func in a new `toolz.open_crash_handler()`.

piker/accounting/_pos.py

@@ -324,7 +324,7 @@ class Position(Struct):
         (fiat) units.
 
         '''
-        return self.ppu * self.size
+        return self.ppu * self.cumsize
 
     def expired(self) -> bool:
         '''
@@ -483,6 +483,8 @@ class Account(Struct):
         cost_scalar: float = 2,
         symcache: SymbologyCache | None = None,
 
+        _mktmap_table: dict[str, MktPair] | None = None,
+
     ) -> dict[str, Position]:
         '''
         Update the internal `.pps[str, Position]` table from input
@@ -519,7 +521,14 @@ class Account(Struct):
 
             # template the mkt-info presuming a legacy market ticks
             # if no info exists in the transactions..
-            mkt: MktPair = symcache.mktmaps[fqme]
+            try:
+                mkt: MktPair = symcache.mktmaps[fqme]
+            except KeyError:
+                # XXX: caller is allowed to provide a fallback
+                # mktmap table for the case where a new position is
+                # being added and the preloaded symcache didn't
+                # have this entry prior (eg. with frickin IB..)
+                mkt = _mktmap_table[fqme]
 
             if not (pos := pps.get(bs_mktid)):
 

piker/accounting/calc.py

@@ -361,8 +361,8 @@ def open_ledger_dfs(
     if not ledger:
         import time
         from tractor._debug import open_crash_handler
-        now = time.time()
 
+        now = time.time()
         with (
             open_crash_handler(),
 
@@ -390,26 +390,29 @@ def open_ledger_dfs(
             # )
 
     txns: dict[str, Transaction] = ledger.to_txns()
-    ldf = pl.DataFrame(
+    # ldf = pl.DataFrame(
+    #     list(txn.to_dict() for txn in txns.values()),
+    ldf = pl.from_dicts(
         list(txn.to_dict() for txn in txns.values()),
-        # schema=[
-        #     ('tid', str),
-        #     ('fqme', str),
-        #     ('dt', str),
-        #     ('size', pl.Float64),
-        #     ('price', pl.Float64),
-        #     ('cost', pl.Float64),
-        #     ('expiry', str),
-        #     ('bs_mktid', str),
-        # ],
-    # ).sort('dt').select([
-    ).sort('dt').with_columns([
-        # pl.col('fqme'),
+
+        # only for ordering the cols
+        schema=[
+            ('fqme', str),
+            ('tid', str),
+            ('bs_mktid', str),
+            ('expiry', str),
+            ('etype', str),
+            ('dt', str),
+            ('size', pl.Float64),
+            ('price', pl.Float64),
+            ('cost', pl.Float64),
+        ],
+    ).sort(  # chronological order
+        'dt'
+    ).with_columns([
         pl.col('dt').str.to_datetime(),
-        # pl.col('expiry').dt.datetime(),
-        # pl.col('bs_mktid'),
-        # pl.col('size'),
-        # pl.col('price'),
+        # pl.col('expiry').str.to_datetime(),
+        # pl.col('expiry').dt.date(),
     ])
 
     # filter out to the columns matching values filter passed
@@ -423,20 +426,24 @@ def open_ledger_dfs(
 
     #     fdf = df.filter(pred)
 
-        # bs_mktid: str = fdf[0]['bs_mktid']
-        # pos: Position = acnt.pps[bs_mktid]
-
-    # TODO: not sure if this is even possible but..
-    # ppt = df.groupby('fqme').agg([
-    #     # TODO: ppu and bep !!
-    #     pl.cumsum('size').alias('cumsum'),
-    # ])
+    # break up into a frame per mkt / fqme
     dfs: dict[str, pl.DataFrame] = ldf.partition_by(
         'fqme',
         as_dict=True,
     )
+
+    # TODO: not sure if this is even possible but..
+    # - it'd be more ideal to use `ppt = df.groupby('fqme').agg([`
+    # - ppu and bep calcs!
     for key in dfs:
         df = dfs[key]
+
+        # TODO: pass back the current `Position` object loaded from
+        # the account as well? Would provide incentive to do all
+        # this ledger loading inside a new async open_account().
+        # bs_mktid: str = df[0]['bs_mktid']
+        # pos: Position = acnt.pps[bs_mktid]
+
         dfs[key] = df.with_columns([
             pl.cumsum('size').alias('cumsize'),
         ])

piker/accounting/cli.py

@@ -253,6 +253,7 @@ def disect(
     ),
 ):
     from piker.log import get_console_log
+    from piker.toolz import open_crash_handler
     get_console_log(loglevel)
 
     pair: tuple[str, str]
@@ -266,10 +267,14 @@ def disect(
     # actual ledger ref filled in with all txns
     ldgr: TransactionLedger
 
-    with open_ledger_dfs(
-        brokername,
-        account,
-    ) as (dfs, ldgr):
+    pl.Config.set_tbl_cols(16)
+    with (
+        open_crash_handler(),
+        open_ledger_dfs(
+            brokername,
+            account,
+        ) as (dfs, ldgr),
+    ):
 
         # look up specific frame for fqme-selected asset
         df = dfs[fqme]