Skip to main content

Package for generating HyP3 products' metadata

Project description

HyP3 Metadata Templates

Package for generating HyP3 products' metadata.

The goal is for each process to have a README text file, which gives an overview of the product, including a list of all the files contained in the product zip file with brief summaries for each file. In addition, some processes have individual xml files for each of the raster files contained in the product archive. They have been designed and formatted to display correctly in the ArcGIS metadata environment (Item Description in ArcGIS Desktop, and Metadata tab in ArcGIS Pro). See the "ArcGIS-Compatible Metadata" section below for formatting tips.

Generating An Example Set

Because we use jinja2 templates to generate the product metadata files, it's not possible to preview your changes live, especially in an ArcGIS environment. To preview your changes, you can generate an example set of metadata for an RTC or InSAR product by running either:

python -m hyp3_metadata rtc
python -m hyp3_metadata insar

which will generate an RTC or InSAR example product containing all of its supported metadata files. You can use a number of options to tune the example product (e.g., the DEM used) or where the product files are generated; see either

python -m hyp3_metadata rtc --help
python -m hyp3_metadata insar --help

for usage details.

Note: This will generate an entire product with pseduo data files (e.g., GeoTIFFs and Browse images), so you don't need to have a HyP3 product on hand.

Generating Data For a HyP3 Product

If you have a current HyP3 product and would like re-generate the metadata for the product, you can do so using the create_metadata_file_set_* functions in hyp3_metadata.create. For example, in a python interpreter, you can create the metadata for an RTC product:

from datetime import datetime
from pathlib import Path

from hyp3_metadata.create import create_metadata_file_set_rtc

PRODUCT_DIR = Path('./S1A_IW_20150621T120220_DVP_RTC10_G_saufem_F8E2')
SOURCE_GRANULE = 'S1A_IW_SLC__1SSV_20150621T120220_20150621T120232_006471_008934_72D8'

create_metadata_file_set_rtc(
    product_dir=PRODUCT_DIR,
    granule_name=SOURCE_GRANULE,
    dem_name='GLO-30',
    processing_date=datetime.now(),
    looks=1,  # Typically 6 for GRDH or (resolution / 10) for SLC
    plugin_name='hyp3_gamma',
    plugin_version='X.Y.Z',
    processor_name='GAMMA',
    processor_version='YYYYMMDD',
)

Warning! This will overwrite existing product metadata; we recommend creating a copy of your product before doing this.

ArcGIS-Compatible Metadata

When editing the xml templates in PyCharm, care must be taken to keep them in a format that can be properly parsed by ArcGIS. Most importantly, the hard wrap options must be disabled. There are also some adjustments that can be made to the default settings to improve the display of the xml elements while editing the content.

Use Ctrl+Alt+S to open the settings window, or select Settings from the File menu.

Change the hard wrap settings:

In Editor > Code Style > XML > Other:

  1. Check the boxes for Keep line breaks and Keep line breaks in text
  2. Set the "Keep blank lines" option to 0
  3. Set the Wrap attributes to "Do not wrap" and remove checks from wrapping and spaces settings

Change the soft wrap settings:

For ease of viewing when editing, in the Editor > General settings, scroll down to Soft Wraps, and make the following changes:

  1. Check the soft wrap files option, and add ; *.xml to the list of file types
  2. Check the option to Use original line's indent for wrapped parts, and set the additional shift if desired



Note that if there are any new lines that are added directly in a text editor by using the return key, they will not render properly in ArcGIS if there are tabs/indentation applied to the code in PyCharm (or any other editor). One way to avoid these issues is to use html formatting tags instead. It's a bit tedious, but it will ensure that the code can be parsed just as well in ArcGIS as in PyCharm.

If you have text breaks that are NOT formatted in the html tags, another option is to change the tabs and indent settings in PyCharm, then reformat the code. To use this method:

  1. In Editor > Code Style > XML > Tabs and Indents, set the Indent and Continuation Indent values to 0 and click OK
  2. With the XML file open, select Reformat Code from the Code menu to remove the tab-based indentations.

If you use this approach frequently, you may want to create different schemes in the Editor > Code Style > XML settings. For example, save an Edit scheme, which keeps the indentation settings (i.e. Indent: 4, Continuation Indent: 8), and a Write scheme, which sets both to 0. Note that the line break settings in the hard wrap section become more important when using the return character approach.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hyp3_metadata-1.3.0.tar.gz (373.4 kB view details)

Uploaded Source

Built Distribution

hyp3_metadata-1.3.0-py3-none-any.whl (221.1 kB view details)

Uploaded Python 3

File details

Details for the file hyp3_metadata-1.3.0.tar.gz.

File metadata

  • Download URL: hyp3_metadata-1.3.0.tar.gz
  • Upload date:
  • Size: 373.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for hyp3_metadata-1.3.0.tar.gz
Algorithm Hash digest
SHA256 b61d1fe791afb01ded1ff39ef9c9d1f6dea101522588a68592cf8e4266390354
MD5 f765c0399c39c8e66abeac3f562a60fe
BLAKE2b-256 d320333faa408912d5e026603e1508023c90658ac8c5c970f6824eea2a9b624e

See more details on using hashes here.

File details

Details for the file hyp3_metadata-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: hyp3_metadata-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 221.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for hyp3_metadata-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cf75febe8b2985799552d9015f77eca88744e72ce3dc80bf849de629ca4d0fad
MD5 9fcb7bfebaeac52214d4b744a613d6cc
BLAKE2b-256 b2ae0720e10c393dd18995472b45fe7403ea804d8e64e7e7d6bd672b425993cb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page