Add `Storage.load()` and `.write_ohlcv()`

piker/data/marketstore.py

@@ -24,6 +24,7 @@
 
 '''
 from contextlib import asynccontextmanager as acm
+from datetime import datetime
 from pprint import pformat
 from typing import (
     Any,
@@ -45,6 +46,7 @@ from anyio_marketstore import (
     MarketstoreClient,
     Params,
 )
+import pendulum
 import purerpc
 
 from .feed import maybe_open_feed
@@ -240,8 +242,29 @@ class Storage:
     async def write_ticks(self, ticks: list) -> None:
         ...
 
-    async def write_ohlcv(self, ohlcv: np.ndarray) -> None:
+    async def load(
-        ...
+        self,
+        fqsn: str,
+
+    ) -> tuple[
+        dict[int, np.ndarray],  # timeframe (in secs) to series
+        Optional[datetime],  # first dt
+        Optional[datetime],  # last dt
+    ]:
+
+        first_tsdb_dt, last_tsdb_dt = None, None
+        tsdb_arrays = await self.read_ohlcv(fqsn)
+        log.info(f'Loaded tsdb history {tsdb_arrays}')
+
+        if tsdb_arrays:
+            fastest = list(tsdb_arrays.values())[0]
+            times = fastest['Epoch']
+            first, last = times[0], times[-1]
+            first_tsdb_dt, last_tsdb_dt = map(
+                pendulum.from_timestamp, [first, last]
+            )
+
+        return tsdb_arrays, first_tsdb_dt, last_tsdb_dt
 
     async def read_ohlcv(
         self,
@@ -319,6 +342,49 @@ class Storage:
 
         return await client.destroy(tbk=key)
 
+    async def write_ohlcv(
+        self,
+        fqsn: str,
+        ohlcv: np.ndarray,
+
+    ) -> None:
+        # build mkts schema compat array for writing
+        mkts_dt = np.dtype(_ohlcv_dt)
+        mkts_array = np.zeros(
+            len(ohlcv),
+            dtype=mkts_dt,
+        )
+        # copy from shm array (yes it's this easy):
+        # https://numpy.org/doc/stable/user/basics.rec.html#assignment-from-other-structured-arrays
+        mkts_array[:] = ohlcv[[
+            'time',
+            'open',
+            'high',
+            'low',
+            'close',
+            'volume',
+        ]]
+
+        # write to db
+        resp = await self.client.write(
+            mkts_array,
+            tbk=f'{fqsn}/1Sec/OHLCV',
+
+            # NOTE: will will append duplicates
+            # for the same timestamp-index.
+            # TODO: pre deduplicate?
+            isvariablelength=True,
+        )
+
+        log.info(
+            f'Wrote {mkts_array.size} datums to tsdb\n'
+        )
+
+        for resp in resp.responses:
+            err = resp.error
+            if err:
+                raise MarketStoreError(err)
+
 
 @acm
 async def open_storage_client(
@@ -402,6 +468,9 @@ async def tsdb_history_update(
         to_append = feed.shm.array
         to_prepend = None
 
+        from tractor.trionics import ipython_embed
+        await ipython_embed()
+
         # hist diffing
         if tsdb_arrays:
             onesec = tsdb_arrays[1]
@@ -417,47 +486,9 @@ async def tsdb_history_update(
             log.info(
                 f'Writing datums {array.size} -> to tsdb from shm\n'
             )
+            await storage.write_ohlcv(fqsn, array)
 
-            # build mkts schema compat array for writing
+        profiler('Finished db writes')
-            mkts_dt = np.dtype(_ohlcv_dt)
-            mkts_array = np.zeros(
-                len(array),
-                dtype=mkts_dt,
-            )
-            # copy from shm array (yes it's this easy):
-            # https://numpy.org/doc/stable/user/basics.rec.html#assignment-from-other-structured-arrays
-            mkts_array[:] = array[[
-                'time',
-                'open',
-                'high',
-                'low',
-                'close',
-                'volume',
-            ]]
-
-            # write to db
-            resp = await storage.client.write(
-                mkts_array,
-                tbk=f'{fqsn}/1Sec/OHLCV',
-
-                # NOTE: will will append duplicates
-                # for the same timestamp-index.
-                # TODO: pre deduplicate?
-                isvariablelength=True,
-            )
-
-            log.info(
-                f'Wrote {to_append.size} datums to tsdb\n'
-            )
-            profiler('Finished db writes')
-
-            for resp in resp.responses:
-                err = resp.error
-                if err:
-                    raise MarketStoreError(err)
-
-        from tractor.trionics import ipython_embed
-        await ipython_embed()
 
 
 async def ingest_quote_stream(