I have a client trying to migrate from Eikon Data API to the RD Library. He has been successful in transitioning the code besides when obtaining option chain data. They are able to run the query in Codebook but when they try to run the query locally, they get this error "StreamingChain :: waiting to update because chain decode does not completed.". Below I have attached their queries. I believe it may be due to how they are opening the session. Thanks in advance for any help that is provided.
Hi @Chris.Iemma ,
I raised this to the dev team and just learned that it will be resolved in the new version of the library.
Best regards,
Haykaz
Hi @Chris.Iemma ,
It is actually an information log informing that the request is still processing, if the client keeps waiting until the request is finished, the API will return the list of chain constituents as in case of Codebook.
Best regards,
Haykaz
Hi Haykaz,
Thank you for your quick response. Two follow ups:
Thanks again for your help.
While I will be checking with the Product team, could you please let me know what is the version of RD Libs, the client is using?
Best regards,
Haykaz
I can disable the warning log on the console by enabling file logging.
import refinitiv.data as rd
from refinitiv.data.discovery import Chain
config = rd.get_config()
config.set_param("logs.transports.file.enabled", True)
config.set_param("logs.transports.file.name", "refinitiv-data-lib.log")
config.set_param("logs.level", "ERROR")
rd.open_session(app_key='<app key>')
rics = Chain("0#MSFT*.U")
rics.constituents
It takes times to get all chain elements because this method subscribes to real-time chain RICs from Real-Time feed to get all chain elements and there are 3076 chain elements for these chain RICs.
Typically, each chain RIC can provide 14 chain elements. Therefore, it needs to subscribe to around 220 chain RICs to get all chain elements.
The client can try another function, such as rd.discovery.search. For example:
df = rd.discovery.search( view=rd.discovery.Views.EQUITY_QUOTES, filter="startswith(RIC,'MSFT') and endswith(RIC,'0.U')", top=5000, select="DocumentTitle, BusinessEntity, RIC, AssetType, AssetState" ) df
