... | ... | @@ -234,8 +234,8 @@ FIWARE ADAPTER (this component is reading data from Fiware API and uploads them |
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5. Checking Kafka topics can be done like this: `run: docker exec -it kafka bash`, to enter Kafka container. Then run: `cd kafka/` and in this directory there should be only one directory called: kafka-logs-<some letters and numbers>. Go inside this directory and there should be some other folders called: measurements_node_alicante_... Each of these folders contains data for a topic whose name is the same as the folder name. You can also go into this folders and check the content of the .log files. This can be done by: `cat <file_name>.log`
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DATA FUSION ALICANTE FORECASTING (this component aggregates data from InfluxDB and Kafka and produces feature vectors for Alicante forecasting component)
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1. `docker pull e3ailab/df_alicante_forcasting`
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2. `docker run -d --network="host" e3ailab/df_alicante_forcasting`
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1. `docker pull e3ailab/df_alicante_forecasting`
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2. `docker run -d --network="host" e3ailab/df_alicante_forecasting`
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3. This component should start working quickly.
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4. Data produced by this component can be seen on Kafka on topics starting with name: feature_...
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... | ... | @@ -268,6 +268,7 @@ Then when this is set we can run the following containers (you will probably nee |
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15. `docker run -d --network="host" e3ailab/lstm_braila_univariate`
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16. `docker run -d --network="host" e3ailab/uploader_braila_consumption`
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17. `docker run -d --network="host" e3ailab/uploader_braila_ad_ms`
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18. `docker run -d --network="host" e3ailab/df_alicante_forecasting_w`
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### DSS
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... | ... | |