История

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azure-ai-contentsafety	…
azure-ai-formrecognizer	…
azure-ai-language-conversations	…
azure-ai-language-questionanswering	…
azure-ai-metricsadvisor	…
azure-ai-ml	…
azure-ai-textanalytics	…
azure-ai-translation-document	…
azure-ai-translation-text	…
azure-appconfiguration	…
azure-communication	…
azure-confidentialledger	…
azure-containerregistry	…
azure-core	…
azure-cosmos	…
azure-data-tables	…
azure-developer-loadtesting	…
azure-digitaltwins-core	…
azure-eventgrid	…
azure-eventhub	…
azure-identity	…
azure-iot-deviceupdate	…
azure-keyvault	…
azure-messaging-webpubsubclient	…
azure-messaging-webpubsubservice	…
azure-mgmt	…
azure-monitor-ingestion	…
azure-monitor-query	…
azure-schemaregistry	…
azure-search-documents	…
azure-security-attestation	…
azure-servicebus	…
azure-storage	…
msal	…
msal-extensions	…
msrest	…
uamqp	…
README.md	…
conda_env.yml	…

README.md

Azure SDK Conda Recipes

The conda recipes contained within this folder are used in conjunction with the azure-sdk-tools command sdk_build_conda.

This script accepts a json blob which defines a set of workloads (defined in eng/pipelines/templates/stages/conda-sdk-client.yml), then for each one:

Download the necessary source distribution code
Assemble a combined source distribution (in azure-storage case combining queue, blob, file, and datalake)
Generate a meta.yml that references the newly created source distribution
Assemble the final conda package using the meta.yml

If a json blob workload is not provided, a default one is generated from a yml configuration. Again, this file is located at eng/pipelines/templates/stages/conda-sdk-client.yml.

Within, there is a parameter defined called CondaArtifacts being passed to template build-conda-artifacts. That is the value that is parsed out, defaulting the in_batch variables to True. If you don't specify, you get everything!