Fix errors (#21)

Author: lsbardel

quantflow/cli/app.py

@@ -4,6 +4,7 @@
 from typing import Any
 
 import click
+from fluid.utils.http_client import HttpResponseError
 from prompt_toolkit import PromptSession
 from prompt_toolkit.completion import NestedCompleter
 from prompt_toolkit.formatted_text import HTML
@@ -82,6 +83,7 @@ def handle_command(self, text: str) -> None:
             click.exceptions.MissingParameter,
             click.exceptions.NoSuchOption,
             click.exceptions.UsageError,
+            HttpResponseError,
         ) as e:
             self.error(e)
 

quantflow/cli/commands/crypto.py

@@ -33,6 +33,7 @@ def volatility(currency: str, length: int, height: int, chart: bool) -> None:
     """Provides information about historical volatility for given cryptocurrency"""
     ctx = QuantContext.current()
     df = asyncio.run(get_volatility(ctx, currency))
+    df["volatility"] = df["volatility"].map(lambda p: round_to_step(p, "0.01"))
     if chart:
         data = df["volatility"].tolist()[:length]
         ctx.qf.print(plot(data, {"height": height}))
@@ -99,7 +100,13 @@ def prices(symbol: str, height: int, length: int, chart: bool, frequency: str) -
         data = list(reversed(df["close"].tolist()[:length]))
         ctx.qf.print(plot(data, {"height": height}))
     else:
-        ctx.qf.print(df_to_rich(df[["date", "open", "high", "low", "close", "volume"]]))
+        ctx.qf.print(
+            df_to_rich(
+                df[["date", "open", "high", "low", "close", "volume"]].sort_values(
+                    "date"
+                )
+            )
+        )
 
 
 async def get_volatility(ctx: QuantContext, currency: str) -> pd.DataFrame:

quantflow/data/deribit.py

@@ -4,7 +4,7 @@
 
 import pandas as pd
 from dateutil.parser import parse
-from fluid.utils.http_client import AioHttpClient, HttpResponse
+from fluid.utils.http_client import AioHttpClient, HttpResponse, HttpResponseError
 
 from quantflow.options.surface import VolSecurityType, VolSurfaceLoader
 from quantflow.utils.numbers import round_to_step, to_decimal
@@ -118,6 +118,8 @@ async def get_path(self, path: str, **kw: Any) -> dict:
 
     async def to_result(self, response: HttpResponse) -> list[dict]:
         data = await response.json()
+        if "error" in data:
+            raise HttpResponseError(response, data["error"])
         return cast(list[dict], data["result"])
 
     async def to_df(self, response: HttpResponse) -> pd.DataFrame: