Info log fsp output for now

piker/fsp.py

@@ -82,7 +82,7 @@ async def pull_and_process(
             filter_by_sym(symbol, stream),
             bars,
         ):
-            print(f"{fsp_func_name}: {processed}")
+            log.info(f"{fsp_func_name}: {processed}")
             yield processed
 
 
@@ -105,27 +105,13 @@ async def latency(
     async for quote in source:
         ts = quote.get('broker_ts')
         if ts:
-            print(
-                f"broker time: {quote['broker_ts']}"
-                f"brokerd time: {quote['brokerd_ts']}"
-            )
+            # This is codified in the per-broker normalization layer
+            # TODO: Add more measure points and diffs for full system
+            # stack tracing.
             value = quote['brokerd_ts'] - quote['broker_ts']
             yield value
 
 
-async def last(
-    source: 'TickStream[Dict[str, float]]',
-    ohlcv: np.ndarray
-) -> AsyncIterator[np.ndarray]:
-    """Compute High-Low midpoint value.
-    """
-    # deliver historical processed data first
-    yield ohlcv['close']
-
-    async for quote in source:
-        yield quote['close']
-
-
 async def wma(
     source,  #: AsyncStream[np.ndarray],
     ohlcv: np.ndarray,  # price time-frame "aware"