feature/Automatically update AWS_stations_metadata.csv and AWS_sites_metadata.csv from L3 files #277
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PR to change file path inference is now here: #279 |
PennyHow
requested changes
Jul 9, 2024
| 'lat_last_known': lat_last_known, | ||
| 'lon_last_known': lon_last_known, | ||
| 'alt_last_known': alt_last_known | ||
| }, name=s_id) |
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I think we could split this step into its own function (from line 43-89) for constructing metadata from a single csv file... I think I will open a PR with all these changes to address this function split.
* paths specified
BaptisteVandecrux
changed the base branch from
develop
to
feature/surface-heights-and-thermistor-depths
* paths specified
…ps://github.com/GEUS-Glaciology-and-Climate/pypromice into feature/automatically-update-metadata-CSV-files
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The idea is that, every time the level 3 data is processed, we read the output files and update the
AWS_stations_metadata,csvandAWS_sites_metadata.csvwith the latest timestamps and coordinates.Since not every station is updated at each iteration, the script needs to first load the existing file and then only update the necessary rows.
Requires small edits of AWS-operational-processing:
https://github.com/GEUS-Glaciology-and-Climate/aws-operational-processing/pull/35