Add symbol searching for ib backend

Obviously this only supports stocks to start, it looks like we might
actually have to hard code some of the futures/forex/cmdtys that don't
have a search.. so lame. Special throttling is added here since the api
will grog out at anything more then 1Hz.

Additionally, decouple the bar loading request error handling from the
shm pushing loop so that we can always recover from a historical bars
throttle-error even if it's on the first try for a new symbol.

piker/brokers/ib.py

@@ -46,8 +46,8 @@ import ib_insync as ibis
 from ib_insync.wrapper import Wrapper
 from ib_insync.client import Client as ib_Client
 from fuzzywuzzy import process as fuzzy
+import numpy as np
 
-from .api import open_cached_client
 from ..log import get_logger, get_console_log
 from .._daemon import maybe_spawn_brokerd
 from ..data._source import from_df
@@ -143,11 +143,21 @@ class NonShittyIB(ibis.IB):
 # map of symbols to contract ids
 _adhoc_cmdty_data_map = {
     # https://misc.interactivebrokers.com/cstools/contract_info/v3.10/index.php?action=Conid%20Info&wlId=IB&conid=69067924
-    # NOTE: cmdtys don't have trade data:
+
+    # NOTE: some cmdtys/metals don't have trade data like gold/usd:
     # https://groups.io/g/twsapi/message/44174
     'XAUUSD': ({'conId': 69067924}, {'whatToShow': 'MIDPOINT'}),
 }
 
+_adhoc_futes_set = {
+    'nq.globex',
+    'mnq.globex',
+    'es.globex',
+    'mes.globex',
+}
+
+    # https://misc.interactivebrokers.com/cstools/contract_info/v3.10/index.php?action=Conid%20Info&wlId=IB&conid=69067924
+
 _enters = 0
 
 
@@ -650,6 +660,8 @@ async def _aio_run_client_method(
         if to_trio and 'to_trio' in args:
             kwargs['to_trio'] = to_trio
 
+        log.runtime(f'Running {meth}({kwargs})')
+
         return await async_meth(**kwargs)
 
 
@@ -786,13 +798,64 @@ def normalize(
     return data
 
 
+async def get_bars(
+    sym: str,
+    end_dt: str = "",
+) -> (dict, np.ndarray):
+
+    _err = None
+
+    for _ in range(1):
+        try:
+
+            bars, bars_array = await _trio_run_client_method(
+                method='bars',
+                symbol=sym,
+                end_dt=end_dt,
+            )
+
+            if bars_array is None:
+                raise SymbolNotFound(sym)
+
+            next_dt = bars[0].date
+
+            return bars, bars_array, next_dt
+
+        except RequestError as err:
+            _err = err
+
+            # TODO: retreive underlying ``ib_insync`` error?
+            if err.code == 162:
+
+                if 'HMDS query returned no data' in err.message:
+                    # means we hit some kind of historical "dead zone"
+                    # and further requests seem to always cause
+                    # throttling despite the rps being low
+                    break
+
+                else:
+                    log.exception(
+                        "Data query rate reached: Press `ctrl-alt-f`"
+                        "in TWS"
+                    )
+
+                    # TODO: should probably create some alert on screen
+                    # and then somehow get that to trigger an event here
+                    # that restarts/resumes this task?
+                    await tractor.breakpoint()
+
+    else:  # throttle wasn't fixed so error out immediately
+        raise _err
+
+
 async def backfill_bars(
     sym: str,
     shm: ShmArray,  # type: ignore # noqa
     # count: int = 20,  # NOTE: any more and we'll overrun underlying buffer
-    count: int = 10,  # NOTE: any more and we'll overrun the underlying buffer
+    count: int = 6,  # NOTE: any more and we'll overrun the underlying buffer
 
     task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
+
 ) -> None:
     """Fill historical bars into shared mem / storage afap.
 
@@ -800,10 +863,7 @@ async def backfill_bars(
     https://github.com/pikers/piker/issues/128
 
     """
-    first_bars, bars_array = await _trio_run_client_method(
+    first_bars, bars_array, next_dt = await get_bars(sym)
-        method='bars',
-        symbol=sym,
-    )
 
     # write historical data to buffer
     shm.push(bars_array)
@@ -812,46 +872,12 @@ async def backfill_bars(
 
         task_status.started(cs)
 
-        next_dt = first_bars[0].date
-
         i = 0
         while i < count:
 
-            try:
+            bars, bars_array, next_dt = await get_bars(sym, end_dt=next_dt)
-                bars, bars_array = await _trio_run_client_method(
+            shm.push(bars_array, prepend=True)
-                    method='bars',
+            i += 1
-                    symbol=sym,
-                    end_dt=next_dt,
-                )
-
-                if bars_array is None:
-                    raise SymbolNotFound(sym)
-
-                shm.push(bars_array, prepend=True)
-                i += 1
-                next_dt = bars[0].date
-
-            except RequestError as err:
-                # TODO: retreive underlying ``ib_insync`` error?
-
-                if err.code == 162:
-
-                    if 'HMDS query returned no data' in err.message:
-                        # means we hit some kind of historical "dead zone"
-                        # and further requests seem to always cause
-                        # throttling despite the rps being low
-                        break
-
-                    else:
-                        log.exception(
-                            "Data query rate reached: Press `ctrl-alt-f`"
-                            "in TWS"
-                        )
-
-                        # TODO: should probably create some alert on screen
-                        # and then somehow get that to trigger an event here
-                        # that restarts/resumes this task?
-                        await tractor.breakpoint()
 
 
 asset_type_map = {
@@ -1201,28 +1227,59 @@ async def stream_trades(
 @tractor.context
 async def open_symbol_search(
     ctx: tractor.Context,
-) -> Client:
+) -> None:
-    async with open_cached_client('ib') as client:
+    # async with open_cached_client('ib') as client:
 
-        # load all symbols locally for fast search
+    # load all symbols locally for fast search
-        await ctx.started({})
+    await ctx.started({})
 
-        async with ctx.open_stream() as stream:
+    async with ctx.open_stream() as stream:
 
-            async for pattern in stream:
+        last = time.time()
 
-                if not pattern:
+        async for pattern in stream:
-                    # will get error on empty request
+            log.debug(f'received {pattern}')
-                    continue
+            now = time.time()
 
-                results = await client.search_stocks(pattern=pattern, upto=5)
+            assert pattern, 'IB can not accept blank search pattern'
 
-                matches = fuzzy.extractBests(
+            # throttle search requests to no faster then 1Hz
-                    pattern,
+            diff = now - last
-                    results,
+            if diff < 1.0:
-                    score_cutoff=50,
+                log.debug('throttle sleeping')
-                )
+                await trio.sleep(diff)
-                await stream.send(
+                try:
-                    {item[2]: item[0]
+                    pattern = stream.receive_nowait()
-                     for item in matches}
+                    # if new:
-                )
+                    #     pattern = new
+                except trio.WouldBlock:
+                    pass
+
+            log.debug(f'searching for {pattern}')
+            # await tractor.breakpoint()
+            last = time.time()
+            results = await _trio_run_client_method(
+                method='search_stocks',
+                pattern=pattern,
+                upto=5,
+            )
+            log.debug(f'got results {results.keys()}')
+            # results = await client.search_stocks(
+            #     pattern=pattern, upto=5)
+
+            # if cs.cancelled_caught:
+            #     print(f'timed out search for {pattern} !?')
+            #     # await tractor.breakpoint()
+            #     await stream.send({})
+            #     continue
+
+            log.debug("fuzzy matching")
+            matches = fuzzy.extractBests(
+                pattern,
+                results,
+                score_cutoff=50,
+            )
+
+            matches = {item[2]: item[0] for item in matches}
+            log.debug(f"sending matches: {matches.keys()}")
+            await stream.send(matches)