The extensions are another of Harvest's standout features.
#Harvest app json android
Harvest has apps for iOS and Android devices, Macs, as well as a web app that comes with extensions for Chrome and Safari. It's also extremely easy to use, whether you run a timer as you work or you manually enter your time later. Most other apps in this category either have very light invoicing options or they merely connect to external invoicing and accounting apps.
#Harvest app json full
But digital time-tracking tools give you several advantages, such as having the timer appear right on screen alongside your work, automatic calculations, and ease of use when compiling time tracked across multiple people working on the same project.Among time-tracking apps, Harvest stands out for including a full range of invoicing tools. All you really need is a stopwatch and a logbook. The act of tracking time is a simple enough. Time-tracking apps help you record time spent on task, often so that you later create invoices for billable hours. Registry App v1.Harvest is a popular and powerful time-tracking app that includes invoicing. Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_summary.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_colorindex.xml
Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_exnotes.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_ambiguous.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_spinaxis.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_binary.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_diameters.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_references.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_familylookup.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_npa.xml Skipping product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/data/lc_details.xml Processing product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/document/bundle_description.xml Processing product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/document/AA_Document_Index.xml Processing product /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/document/pds_readme.xml Processing collection /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/document/collection_ast-lightcurve-database_document.xml Processing bundle /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0/bundle_ast-lightcurve-database.xml
Processing bundle directory /Users/mdrum/Desktop/alcdb/ast-lightcurve-database_V4_0 Registered products will be processed again. Registry (Elasticsearch) is not configured. Reading configuration from /Users/mdrum/Documents/pds-registry-app-1.0.0/alcdb.cfg Mikes-iMac:pds-registry-app-1.0.0 mdrum$ harvest -c alcdb.cfg -o alcdb Going by the logs, it appears that only the whitelisted collection labels are being read, unlike their products.Įssentially, I would expect the output to look like this: I would expect that products within a collection that are not specified in the 's filtered s would be skipped entirely, not included in logs, and have no processing time spent parsing those labels.
#Harvest app json update
Download the attached config file, change the file extension, and update the path of the sample bundle.Download this small sample bundle to the desktop:.For example, if I wanted to only ingest the data_raw collection of the OREX OCAMS bundle, Harvest tool would still read every single label for every other product in the bundle before even getting to the correct collection, which adds hours and hours to processing time. The labels from collections that filtered out are skipped in the sense that they do not make it to the output registry-docs.json file, but the labels are still read by the tool, which drastically increases processing time. The Harvest tool, when configured to read a bundle but filtered to only specific collections, will still go through the effort of opening and inspecting every single label in the bundle even if it does not need to harvest it.
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