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Consider supporting method chaining to simplify query creation \ data selection \ data reading (OData Functions). #115
Description
In the python data science ecosystem method chaining is a common way of simplifying query creation and data manipulations.
I came across a recent odata python client, odata-bc, that implemented method chaining for complex queries that resulted in very readable code:
from odata import OData, Q
from datetime import date
client = OData("http://localhost:42001/api/data-store/v1/odata")
test_results = (
client("TestResults")
.filter((Q("StartDateTime") >= date(2026, 1, 1)) & (Q("StartDateTime") <= date(2026, 12, 31)))
.select("Name","StartDateTime" ,"EndDateTime" ,"Outcome", "OperatorId", "TestStationId", "Id")
.orderby("StartDateTime")
.fetch()
)
test_results.head()This is just intended as illustration of the concept, the odata-bc library has its limitations with no public repository or documentations.
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