Fix Error When Returning Large Data from API Endpoints

[IonesioJunior]

Description

This PR addresses an issue where returning large datasets from API endpoints caused an error. The root cause was the set_result_store function breaking due to an incorrect path: context.server.blob_storage was non-existent. The fix involved updating the path to context.server.services.blob_storage, ensuring proper access to the blob storage service.

Affected Dependencies

• packages/syft/src/syft/service/action/action_service.py

How has this been tested?

<...>

@sy.api_endpoint(path="test.serde")
def test_serde(context, mb):
    import numpy as np
    import pandas as pd
    
    def create_random_dataframe(num_mb: int, num_columns: int = 10):
        size_bytes = num_mb * 1e6
        num_elements = int(size_bytes / 8) # float64 = 8b
        return pd.DataFrame(np.random.rand(num_elements // num_columns, num_columns))
    
    
    df = create_random_dataframe(mb)
    return df

root_client.custom_api.add(test_serde)
x = root_client.api.services.test.serde(mb=1000)  # 1 GB
x.get()