Adding sensors in scrape-util require manual change of initial timestamp

[carlosparadis]

When adding the webctrl sensors to #30, the steps described in the config wiki were followed, but sensors would still not work.

Additionally, inspecting the state timestamp of the individual sensors /var/local/scrape-util/projects/uhm-frog/state-files, suggested the sensors were not being added to the state file, as their names did not appear.

To force start adding it, rather than wait for the crontab, I then executed scrape-util manually:

sudo vim /etc/crontab 

Was used to see the current cron tabs, and then executing scrape-util in the same way as the crontab.
This resulted in the sensors being added to:

/var/local/scrape-util/projects/uhm-frog/state-files/webctrl.toml

After the sensors were added with the timestamp in unix, the data was still not being inserted in the database.

The default unix timestamp that is used in state-files/webctrl.toml after modifying value-remap.toml and webctrl-config.toml as part of the process in adding a new sensor explained in the config wiki seems to date to May 2017. Replacing it to the day before the readings of the new sensors in

/var/local/scrape-util/projects/uhm-frog/state-files/webctrl.toml

And re-running scrape-util made it work. It was also noted on the output the insertions happened (sample below of how it looks like, this is a small portion of the log it generates):

row(datetime=1557887700.0, purpose_id=118, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557888000.0, purpose_id=118, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557888300.0, purpose_id=118, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557888600.0, purpose_id=118, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557888900.0, purpose_id=118, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557889200.0, purpose_id=118, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557888600.0, purpose_id=83, units='wm-2', reading=389.0, upload_timestamp=1557889255.24)
row(datetime=1557888900.0, purpose_id=83, units='wm-2', reading=453.6, upload_timestamp=1557889255.24)
row(datetime=1557889200.0, purpose_id=83, units='wm-2', reading=458.0, upload_timestamp=1557889255.24)
row(datetime=1557876600.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557876900.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557877200.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557877500.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557877800.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557878100.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557878400.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557878700.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557879000.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557879300.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557879600.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557879900.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)
row(datetime=1557880200.0, purpose_id=119, units='bool', reading=0.0, upload_timestamp=1557889255.24)