Implement workflows for fake data generation, scouter processing, and core scouter operations - Added `FakeData` workflow to generate random data and send it to a Kafka topic. - Implemented `Scouter` workflow to load data from Kafka and trigger the core scouter workflow. - Created `CoreScouter` workflow to process data through quality gates, aggregation, and export to PostgreSQL. - Developed comprehensive unit tests for activities and workflows, ensuring proper functionality and error handling. - Enhanced Redis and Postgres activities with robust testing for data handling and error notifications. - Introduced quality filters for data validation and implemented tests to verify their functionality.
8 lines
172 B
Plaintext
8 lines
172 B
Plaintext
temporalio
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psycopg2-binary
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sqlalchemy
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asyncua
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redis
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git+ssh://git@github.com/Aignosi/sientia-dataops-library.git
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git+ssh://git@github.com/Aignosi/sientia-mlops-library.git
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