Now that we have a half-decent keyword generator for the pipeline, and capabilities to have a user return these keywords via the outbound API, I think it would be good to have a python job that accesses the database, extracts the keywords and the data of publication, and maps them as a trend onto a chart and return it to the user.
This would likely require converting the dates published into the ISO 8601 format somewhere in the data pipeline before storing in DB.
Then, create a similar python job to the current test one.
Now that we have a half-decent keyword generator for the pipeline, and capabilities to have a user return these keywords via the outbound API, I think it would be good to have a python job that accesses the database, extracts the keywords and the data of publication, and maps them as a trend onto a chart and return it to the user.
This would likely require converting the dates published into the ISO 8601 format somewhere in the data pipeline before storing in DB. Then, create a similar python job to the current test one.