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executable file
·817 lines (704 loc) · 27.6 KB
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#!/usr/bin/env python3
import argparse
import json
import logging
import os
import pathlib
import sys
from lib import utils, VERSION, SHORT_VERSION
DOMAINS = {
"arcticdem": {
"title": "ArcticDEM",
"description": "ArcticDEM Project",
"keywords": [ "ArcticDEM" ]
},
"earthdem": {
"title": "EarthDEM",
"description": "EarthDEM Project",
"keywords": [ "EarthDEM" ]
},
"rema": {
"title": "REMA",
"description": "Reference Elevation Model of Antarctica (REMA) Project",
"keywords": [ "REMA", "Antarctica" ]
}
}
KEYWORDS_COMMON = [
"DSM", "DEM", "elevation", "stereo", "photogrammetry", "digital surface model", "satellite"
]
#### Create Logger
logger = logging.getLogger("logger")
logger.setLevel(logging.DEBUG)
def main():
#### Set Up Arguments
parser = argparse.ArgumentParser(
description="Build STAC Catalog & Collection JSON tree."
)
#### Positional Arguments
parser.add_argument('src', help="source directory")
#### Optional Arguments
parser.add_argument('-v', action='store_true', default=False, help="verbose output")
parser.add_argument('--overwrite', action='store_true', default=False,
help="overwrite existing stac item json")
parser.add_argument('--validate', action='store_true', default=False,
help="validate stac item json")
parser.add_argument('--stac-base-url', help="STAC Catalog Base URL", default="https://pgc-opendata-dems.s3.us-west-2.amazonaws.com")
parser.add_argument('--version', action='version', version=f"Current version: {SHORT_VERSION}",
help='print version and exit')
#### Parse Arguments
scriptpath = os.path.abspath(sys.argv[0])
args = parser.parse_args()
src = os.path.abspath(args.src)
#### Verify Arguments
if not os.path.isdir(args.src) and not os.path.isfile(args.src):
parser.error("Source directory or file does not exist: %s" %args.src)
if args.validate:
import pystac
## Setup Logging options
if args.v:
log_level = logging.DEBUG
else:
log_level = logging.INFO
lsh = logging.StreamHandler()
lsh.setLevel(log_level)
formatter = logging.Formatter('%(asctime)s %(levelname)s- %(message)s','%m-%d-%Y %H:%M:%S')
lsh.setFormatter(formatter)
logger.addHandler(lsh)
logger.info("Current version: %s", VERSION)
#### ID rasters
logger.info('Identifying STAC Items')
item_paths = []
if os.path.isdir(src):
for root,dirs,files in os.walk(src):
for f in files:
if f.endswith(".json") and "m_" in f:
srcfp = os.path.join(root,f)
logger.debug(srcfp)
item_paths.append(pathlib.Path(srcfp))
else:
logger.error("src must be a directory")
src_path = pathlib.Path(src)
logger.info('Reading STAC Items')
j = 0
total = len(item_paths)
# Collect ID Tree
pgc_catalog = { }
item_paths.sort() # this should also keep the order of links/assets in the catalog sorted
for ip in item_paths:
j+=1
utils.progress(j, total, "STAC Items identified")
with open(ip) as f:
stac_item = json.load(f)
stac_item_id = stac_item["id"]
ids = stac_item["collection"].split("-")
stac_geocell_catalog_dir = ip.parent
if ids[1] == "strips":
# This is an item for a SETSM DEM
stac_geocell_catalog_id = stac_item["collection"] + "-" + stac_item["properties"]["pgc:geocell"]
elif ids[1] == "mosaics":
# This is an item for a mosaic tile
stac_geocell_catalog_id = stac_item["collection"] + "-" + stac_item["properties"]["pgc:supertile"]
else:
logger.error(f"Unknown item type {ids}. Expecting a SETSM strip or a mosaic tile.")
stac_resolution_collection_dir = stac_geocell_catalog_dir.parent
stac_resolution_collection_id = "-".join(ids)
stac_version_collection_dir = stac_resolution_collection_dir.parent
stac_version_collection_id = "-".join(ids[0:-1])
stac_kind_collection_dir = stac_version_collection_dir.parent
stac_kind_collection_id = "-".join(ids[0:-2])
stac_domain_collection_dir = stac_kind_collection_dir.parent
stac_domain_collection_id = "-".join(ids[0:-3])
stac_pgc_catalog_dir = stac_domain_collection_dir.parent
if stac_pgc_catalog_dir != src_path:
logger.error("Directory tree not as expected")
sys.exit(1)
if not stac_domain_collection_id in pgc_catalog:
pgc_catalog[stac_domain_collection_id] = {}
if not stac_kind_collection_id in pgc_catalog[stac_domain_collection_id]:
pgc_catalog[stac_domain_collection_id][stac_kind_collection_id] = {}
if not stac_version_collection_id in pgc_catalog[stac_domain_collection_id][stac_kind_collection_id]:
pgc_catalog[stac_domain_collection_id][stac_kind_collection_id][stac_version_collection_id] = {}
if not stac_resolution_collection_id in pgc_catalog[stac_domain_collection_id][stac_kind_collection_id][stac_version_collection_id]:
pgc_catalog[stac_domain_collection_id][stac_kind_collection_id][stac_version_collection_id][stac_resolution_collection_id] = {}
if not stac_geocell_catalog_id in pgc_catalog[stac_domain_collection_id][stac_kind_collection_id][stac_version_collection_id][stac_resolution_collection_id]:
pgc_catalog[stac_domain_collection_id][stac_kind_collection_id][stac_version_collection_id][stac_resolution_collection_id][stac_geocell_catalog_id] = {}
pgc_catalog[stac_domain_collection_id][stac_kind_collection_id][stac_version_collection_id][stac_resolution_collection_id][stac_geocell_catalog_id][stac_item_id] = stac_item
#print(json.dumps(pgc_catalog))
# Collate/roll-up PGC catalog levels and create STAC JSON items
stac_catalog = stac_pgc_catalog(args.stac_base_url)
stac_catalog_path = src + "/pgc-data-stac.json"
for domain_id, kinds in pgc_catalog.items():
domain_collection = stac_domain_collection(args.stac_base_url, domain_id)
domain_collection_path = src + f"/{domain_id}.json"
domain_bbox = [ 180, 90, -180, -90 ]
domain_mindate = "9999-01-01T00:00:00Z"
for kind_id, versions in kinds.items():
kind_collection = stac_kind_collection(args.stac_base_url, domain_collection, kind_id)
kind_collection_path = src + f"/{kind_id.replace('-','/')}.json"
kind_bbox = [ 180, 90, -180, -90 ]
kind_mindate = "9999-01-01T00:00:00Z"
for version_id, resolutions in versions.items():
version_collection = stac_version_collection(args.stac_base_url, kind_collection, version_id)
version_collection_path = src + f"/{version_id.replace('-','/')}.json"
version_bbox = [ 180, 90, -180, -90 ]
version_mindate = "9999-01-01T00:00:00Z"
for resolution_id, geocells in resolutions.items():
resolution_collection = stac_resolution_collection(args.stac_base_url, version_collection, resolution_id)
resolution_collection_path = src + f"/{resolution_id.replace('-','/')}.json"
resolution_bbox = [ 180, 90, -180, -90 ]
resolution_mindate = "9999-01-01T00:00:00Z"
for geocell_id, items in geocells.items():
geocell_catalog = stac_geocell_catalog(args.stac_base_url, resolution_collection, geocell_id)
geocell_catalog_path = src + f"/{geocell_id.replace('-','/')}.json"
for item_id, item in items.items():
stac_add_child(args.stac_base_url, geocell_catalog, item)
resolution_bbox = merge_bbox(resolution_bbox, item["bbox"])
resolution_mindate = min(resolution_mindate, item["properties"]["datetime"])
write_json(geocell_catalog, geocell_catalog_path, args.overwrite)
stac_add_child(args.stac_base_url, resolution_collection, geocell_catalog)
# end geocell
version_bbox = merge_bbox(version_bbox, resolution_bbox)
version_mindate = min(version_mindate, resolution_mindate)
resolution_collection["extent"]["spatial"]["bbox"][0] = resolution_bbox
resolution_collection["extent"]["temporal"]["interval"][0][0] = resolution_mindate
write_json(resolution_collection, resolution_collection_path, args.overwrite)
stac_add_child(args.stac_base_url, version_collection, resolution_collection)
# end resolution
kind_bbox = merge_bbox(kind_bbox, version_bbox)
kind_mindate = min(kind_mindate, version_mindate)
version_collection["extent"]["spatial"]["bbox"][0] = version_bbox
version_collection["extent"]["temporal"]["interval"][0][0] = version_mindate
write_json(version_collection, version_collection_path, args.overwrite)
stac_add_child(args.stac_base_url, kind_collection, version_collection)
# end version
domain_bbox = merge_bbox(domain_bbox, kind_bbox)
domain_mindate = min(domain_mindate, kind_mindate)
kind_collection["extent"]["spatial"]["bbox"][0] = kind_bbox
kind_collection["extent"]["temporal"]["interval"][0][0] = kind_mindate
write_json(kind_collection, kind_collection_path, args.overwrite)
stac_add_child(args.stac_base_url, domain_collection, kind_collection)
# end kind
domain_collection["extent"]["spatial"]["bbox"][0] = domain_bbox
domain_collection["extent"]["temporal"]["interval"][0][0] = domain_mindate
write_json(domain_collection, domain_collection_path, args.overwrite)
stac_add_child(args.stac_base_url, stac_catalog, domain_collection)
# end domain
write_json(stac_catalog, stac_catalog_path, args.overwrite)
def merge_bbox(bbox1, bbox2):
# note compare with both min and max values for bbox of upstream lon in case spanning 180
return [
min(bbox1[0], bbox2[0], bbox2[2]),
min(bbox1[1], bbox2[1]),
max(bbox1[2], bbox2[0], bbox2[2]),
max(bbox1[3], bbox2[3])
]
def write_json(stac_obj, stac_json_path, overwrite):
if not os.path.exists(stac_json_path) or overwrite:
with open(stac_json_path, "w") as f:
logger.info('Writing '+stac_json_path)
stac_json = json.dumps(stac_obj, indent=2, sort_keys=False)
f.write(stac_json)
# Returns arcticdem, earthdem, rema
def get_domain(stac_id):
return stac_id.split('-')[0]
# Returns strips or mosaics
def get_kind(stac_id):
return stac_id.split('-')[1]
# Returns version from id (s2s041 or v2.0)
def get_version(stac_id):
return stac_id.split('-')[2]
# Returns resolution from id (2m, 10m, 32m)
def get_resolution(stac_id):
return stac_id.split('-')[3]
def stac_get_self_link(stac):
for link in stac["links"]:
if link["rel"] == "self":
return link
return None
def stac_add_child(base_url, parent, child):
# find child.link{rel=self}
child_href = stac_get_self_link(child)["href"]
child_title = None
if "title" in child:
child_title = child["title"]
else:
child_title = child["properties"]["title"]
child_type = "application/json"
if child["type"] == "Feature":
child_type = "application/geo+json"
parent["links"].append({
"rel": "child",
"href": child_href,
"title": child_title,
"type": child_type
})
return parent
def stac_pgc_catalog(base_url):
catalog = {
"type": "Catalog",
"stac_version": "1.1.0",
"id": "pgc-data-stac",
"title": "PGC Data Catalog",
"description": "PGC Data Catalog of open digital elevation models",
"links": [
{
"rel": "root",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
},
{
"rel": "self",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
}
]
}
return catalog
# ArcticDEM, EarthDEM, REMA
def stac_domain_collection(base_url, domain):
id = domain.lower()
collection = {
"type": "Collection",
"stac_version": "1.1.0",
"id": id,
"title": DOMAINS[domain]["title"],
"description": DOMAINS[domain]["description"],
"keywords": DOMAINS[get_domain(id)]["keywords"] + KEYWORDS_COMMON + ["time series", "mosaic"],
"license": "CC-BY-4.0",
"providers": [
{
"name": "maxar",
"description": "Maxar/Digital Globe",
"roles": ["producer"],
"url": "https://www.maxar.com"
},
{
"name": "pgc",
"description": "Polar Geospatial Center",
"roles": ["processor"],
"url": "https://pgc.umn.edu"
}
],
"extent": {
"spatial": {
"bbox": [[ 180, 90, -180, -90 ]]
},
"temporal": {
"interval": [[ "1970-01-01T00:00:00Z", None ]]
}
},
"links": [
{
"rel": "self",
"title": DOMAINS[domain]["title"],
"href": f"{base_url}/{id}.json",
"type": "application/json"
},
{
"rel": "root",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
},
{
"rel": "parent",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
}
]
}
return collection
# strips, mosaic
def stac_kind_collection(base_url, domain, kind):
id = kind.lower()
title = f"{domain['title']} DEM {get_kind(id)}"
if get_kind(id) == "mosaics":
description = f"{DOMAINS[get_domain(id)]['title']} DEM mosaics"
keywords = [ "mosaics" ]
else:
description = f"{DOMAINS[get_domain(id)]['title']} time-stamped strip DEMs"
keywords = [ "time series" ]
domain_self = stac_get_self_link(domain)
collection = {
"type": "Collection",
"stac_version": "1.1.0",
"id": id,
"title": title,
"description": description,
"keywords": DOMAINS[get_domain(id)]["keywords"] + KEYWORDS_COMMON + keywords,
"license": "CC-BY-4.0",
"providers": [
{
"name": "maxar",
"description": "Maxar/Digital Globe",
"roles": ["producer"],
"url": "https://www.maxar.com"
},
{
"name": "pgc",
"description": "Polar Geospatial Center",
"roles": ["processor"],
"url": "https://pgc.umn.edu"
}
],
"extent": {
"spatial": {
"bbox": [[ 180, 90, -180, -90 ]]
},
"temporal": {
"interval": [[ "1970-01-01T00:00:00Z", None ]]
}
},
"links": [
{
"rel": "self",
"title": title,
"href": f"{base_url}/{id.replace('-','/')}.json",
"type": "application/json"
},
{
"rel": "root",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
},
{
"rel": "parent",
"title": domain_self["title"],
"href": domain_self["href"],
"type": "application/json"
}
]
}
return collection
# s2s041, v2.0
def stac_version_collection(base_url, kind, version):
id = version.lower()
if get_kind(id) == "mosaics":
title = f"{kind['title']} {get_version(id)}"
description = f"{kind['description']}, version {get_version(id)[1:]}"
keywords = [ "mosaics" ]
else:
s2sver = get_version(id) #s2s041 -> 4.1, ideally would be from properties.pgc:s2s_version, but we don't have access to that here.
numver = str(int(s2sver[3:5])) + "." + s2sver[5]
title = f"{kind['title']}, version {s2sver}"
description = f"{kind['description']}, s2s version {numver}"
keywords = [ "time series" ]
kind_self = stac_get_self_link(kind)
collection = {
"type": "Collection",
"stac_version": "1.1.0",
"id": id,
"title": title,
"description": description,
"keywords": DOMAINS[get_domain(id)]["keywords"] + KEYWORDS_COMMON + keywords,
"license": "CC-BY-4.0",
"providers": [
{
"name": "maxar",
"description": "Maxar/Digital Globe",
"roles": ["producer"],
"url": "https://www.maxar.com"
},
{
"name": "pgc",
"description": "Polar Geospatial Center",
"roles": ["processor"],
"url": "https://pgc.umn.edu"
}
],
"extent": {
"spatial": {
"bbox": [[ 1, 2, 3, 4 ]]
},
"temporal": {
"interval": [[ "2010-01-01T00:00:00Z", None ]]
}
},
"links": [
{
"rel": "self",
"title": title,
"href": f"{base_url}/{id.replace('-','/')}.json",
"type": "application/json"
},
{
"rel": "root",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
},
{
"rel": "parent",
"title": kind_self["title"],
"href": kind_self["href"],
"type": "application/json"
}
]
}
return collection
# 2m, 10m, 32m
def stac_resolution_collection(base_url, version, resolution):
id = resolution.lower()
title = f"{version['title']} {get_resolution(id)}"
if get_kind(id) == "mosaics":
keywords = [ "mosaics" ]
else:
keywords = [ "time series" ]
version_self = stac_get_self_link(version)
collection = {
"type": "Collection",
"stac_version": "1.1.0",
"id": id,
"title": title,
"description": f"{version['description']}, {get_resolution(id)} resolution",
"keywords": DOMAINS[get_domain(id)]["keywords"] + KEYWORDS_COMMON + keywords,
"license": "CC-BY-4.0",
"providers": [
{
"name": "maxar",
"description": "Maxar/Digital Globe",
"roles": ["producer"],
"url": "https://www.maxar.com"
},
{
"name": "pgc",
"description": "Polar Geospatial Center",
"roles": ["processor"],
"url": "https://pgc.umn.edu"
}
],
"extent": {
"spatial": {
"bbox": [[ 1, 2, 3, 4 ]]
},
"temporal": {
"interval": [[ "2010-01-01T00:00:00Z", None ]]
}
},
"links": [
{
"rel": "self",
"title": title,
"href": f"{base_url}/{id.replace('-','/')}.json",
"type": "application/json"
},
{
"rel": "root",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
},
{
"rel": "parent",
"title": version_self["title"],
"href": version_self["href"],
"type": "application/json"
}
],
"item_assets": item_assets_factory(collection=id)
}
return collection
def item_assets_factory(collection: str) -> dict:
item_asset_dict_funcs = {
"arcticdem-mosaics-v3.0-2m": arcticdem_mosaics_v3_0_item_assets,
"arcticdem-mosaics-v3.0-10m": arcticdem_mosaics_v3_0_item_assets,
"arcticdem-mosaics-v3.0-32m": arcticdem_mosaics_v3_0_item_assets,
"arcticdem-mosaics-v4.1-2m": arcticdem_moasics_v4_1_item_assets,
"arcticdem-mosaics-v4.1-10m": arcticdem_moasics_v4_1_item_assets,
"arcticdem-mosaics-v4.1-32m": arcticdem_moasics_v4_1_item_assets,
"arcticdem-strips-s2s041-2m": strip_vs2s041_item_assets,
"earthdem-strips-s2s041-2m": strip_vs2s041_item_assets,
"rema-mosaics-v2.0-2m": rema_mosaic_v2_0_item_assets,
"rema-mosaics-v2.0-10m": rema_mosaic_v2_0_item_assets,
"rema-mosaics-v2.0-32m": rema_mosaic_v2_0_item_assets,
"rema-strips-s2s041-2m": strip_vs2s041_item_assets,
}
resolution = collection.split("-")[-1]
return item_asset_dict_funcs[collection](resolution)
def strip_vs2s041_item_assets(_resolution: str) -> dict:
return {
"dem": {
"title": "2m DEM",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["data"],
},
"hillshade": {
"title": "10m hillshade",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["overview", "visual"],
},
"hillshade_masked": {
"title": "Masked 10m hillshade",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["overview", "visual"],
},
"mask": {
"title": "Valid data mask",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "data-mask", "land-water", "water-mask", "cloud"],
},
"matchtag": {
"title": "Match point mask",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "matchtag"],
},
"metadata": {
"title": "Metadata",
"type": "text/plain",
"roles": ["metadata"],
},
"readme": {
"title": "Readme",
"type": "text/plain",
"roles": ["metadata"],
},
}
def arcticdem_mosaics_v3_0_item_assets(resolution: str) -> dict:
d = {
"dem": {
"title": f"{resolution} DEM",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["data"],
},
"metadata": {
"title": "Metadata",
"type": "text/plain",
"roles": ["metadata"],
},
}
if resolution == "2m":
d.update(
{
"browse": {
"title": "Browse",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["overview", "visual"],
}
}
)
return d
def arcticdem_moasics_v4_1_item_assets(resolution: str) -> dict:
return {
"dem": {
"title": f"{resolution} DEM",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["data"],
},
"hillshade": {
"title": "Hillshade",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["overview", "visual"],
},
"datamask": {
"title": "Valid data mask",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "data-mask"],
},
"count": {
"title": "Count",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "count"],
},
"mad": {
"title": "Median Absolute Deviation",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "mad"],
},
"maxdate": {
"title": "Max date",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "date"],
},
"mindate": {
"title": "Min date",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "date"],
},
"metadata": {
"title": "Metadata",
"type": "text/plain",
"roles": ["metadata"],
},
}
def rema_mosaic_v2_0_item_assets(resolution: str) -> dict:
return {
"dem": {
"title": f"{resolution} DEM",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["data"],
},
"hillshade": {
"title": "Hillshade",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["overview", "visual"],
},
"count": {
"title": "Count",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "Count"],
},
"mad": {
"title": "Median Absolute Deviation",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "mad"],
},
"maxdate": {
"title": "Max date",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "date"],
},
"mindate": {
"title": "Min date",
"type": "image/tiff; application=geotiff; profile=cloud-optimized",
"roles": ["metadata", "date"],
},
"metadata": {
"title": "Metadata",
"type": "text/plain",
"roles": ["metadata"],
},
}
# Geocell: n67w132 or Supertile: 34_45
def stac_geocell_catalog(base_url, resolution, geocell):
id = geocell.lower()
if get_kind(id) == "mosaics":
title = f"Tile {geocell.split('-')[-1]}"
else:
title = f"Geocell {geocell.split('-')[-1]}"
domain_title = DOMAINS[get_domain(id)]["title"]
resolution_self = stac_get_self_link(resolution)
catalog = {
"type": "Catalog",
"stac_version": "1.1.0",
"id": id,
"title": title,
"description": f"{domain_title} geographic grouping: {title}",
"license": "CC-BY-4.0",
"links": [
{
"rel": "self",
"title": title,
"href": f"{base_url}/{id.replace('-','/')}.json",
"type": "application/json"
},
{
"rel": "root",
"title": "PGC Data Catalog",
"href": f"{base_url}/pgc-data-stac.json",
"type": "application/json"
},
{
"rel": "parent",
"title": resolution_self["title"],
"href": resolution_self["href"],
"type": "application/json"
}
]
}
return catalog
if __name__ == '__main__':
main()