Build and deployment process of Hivemind project is splitted into several stages:
Build and deployment process of Hivemind project is splitted into several stages:
- build of python code (production of distribution package (i.e. egg) next to be installed at specified Python site
- build of python code (production of distribution package (i.e. egg) next to be installed at specified Python site
- data supply - first part of application testing covering initial sync phase. Here are executed initial sync process (`hive sync`) filling up the storage database basing on specified hived node url being a data source
- data supply - first part of application testing covering initial sync phase. Here are executed initial sync process (`hive sync`) filling up the storage database basing on specified hived node url being a data source
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@@ -6,4 +8,11 @@ Build and deployment process of Hivemind project is splitted into several stages
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@@ -6,4 +8,11 @@ Build and deployment process of Hivemind project is splitted into several stages
Right now basic deployment and testing phase covers `smoketest` set of e2e tests and the sync limited to 5M blocks (due to time required for sync).
Right now basic deployment and testing phase covers `smoketest` set of e2e tests and the sync limited to 5M blocks (due to time required for sync).
1. Job parameters
The data supply, deployment and e2e testing can be parametrized by specifying following variables at pipeline spawn:
*`HIVEMIND_MAX_BLOCK` number of blocks to perform `hive sync` process for
*`HIVEMIND_SOURCE_HIVED_URL` url of a `hived` node providing blocks and virtual operations during syncing i.e.: `{"default":"http://hive-4:8091"}`
*`HIVEMIND_HTTP_PORT` basic port of hive-server process (to be started after successfull sync). This number can be modified by CI system by adding a value of `$CI_CONCURRENT_ID` variable if few concurrent jobs were running. Job description prints a actual port the started hivemind instance is listening to. Also dedicated entry to the created environment is created (including name of branch being deployed to such instance)
