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Fix api_schemas/json_encoders by manually converting NaT values to empty Strings 

makes import of datetime columns more robust by first checking
if value is null because strftime can't handle NaT values

use `isnull()` because it handles all NaN/None/NaT cases
This commit is contained in:
Joe Schr 2022-02-01 19:34:50 +01:00
parent 06387478b5
commit 118ae8a3d0
1 changed files with 4 additions and 1 deletions
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5
freqtrade/rpc/api_server/api_schemas.py
View File

@ -1,4 +1,5 @@
from datetime import date, datetime from datetime import date, datetime
from pandas import isnull
from typing import Any, Dict, List, Optional, Union from typing import Any, Dict, List, Optional, Union
from pydantic import BaseModel from pydantic import BaseModel
@ -355,7 +356,9 @@ class PairHistory(BaseModel):
class Config: class Config:
json_encoders = { json_encoders = {
datetime: lambda v: v.strftime(DATETIME_PRINT_FORMAT), datetime: lambda v: v.strftime(DATETIME_PRINT_FORMAT)
# needed for aslong NaT doesn't work with strftime
if not isnull(v) else "",
} }