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DRB OData CSC driver

Project description

OData driver

This drb-driver-odata module implements the OData protocol access following the Copernicus Space Component schema with DRB data model. It is able to navigate among Product entities of a OData service.

Nodes

ODataServiceNode

Represents the OData service. There are 3 type of service ODataServiceNodeCSC, ODataServiceNodeDhus and ODataServiceNodeDias. These nodes has no attribute and has as children Product entities of the service defined by ProductNode. A specific ProductNode can be retrieved during the bracket and slash navigation by his Name(str) or by his Id(UUID).

OData services required can be access using the second (optional) parameter auth of ODataServiceNode, this parameter must be an requests.auth.AuthBase object, see requests documentation for more details.

ODataProductNode

Represents a Product entity of the OData service. This node has as attribute properties of the associated entity and has for unique child a ProductAttributeNode

ODataProductAttributeNode

This node allowing to represent the navigation link between the Product entity and its attributes. It has no attribute and has as children Attribute entities associated to the Product entity, defined by AttributeNode

ODataAttributeNode

Represents an Attribute entity. This node has no child and has as attribute properties associated to the Attribute entity.

Predicate

ODataCustomQuery

This predicate allows to retrieve a specific subset of children of an ODataServiceNode.

Cache set up

Some cache has been implemented to limit the number of requests to the server. These cache evicts cache entries based on both time and space. the time and the cache size can be changed by adding these two variables to the runtime environment.

DRB_ODATA_NODE_REQUEST_CACHE_EXPIRE_TIME_SEC = 120
DRB_ODATA_NODE_REQUEST_CACHE_MAX_ELEMENTS = 32

Here are all the queries that use a cache

def req_svc(odata: OdataNode) -> dict:
def req_svc_products(odata: OdataNode, **kwargs) -> list:
def req_product_by_uuid(odata: OdataNode, prd_uuid: str) -> dict:
def req_product_attributes(odata: OdataNode, prd_uuid: str) -> List[dict]:

The time of the cache eviction can be change by calling reset_cache_expiration_time(sec=1) :

req_svc_products.reset_expiration_time(sec=1)

Installation

pip install drb-driver-odata

Examples

from uuid import UUID
from drb.drivers.odata import ODataQueryPredicate, ExpressionFunc, ExpressionType
from drb.topics import resolver


# Add '+odata' for recognize the odata driver usage.
url = 'https+odata://my.csc.odata.com'

# generate ODataServiceNode corresponding to the service.
odata = resolver.create(url)

# total number of children
product_count = len(odata)

# retrieve first ODataProductNode
node_idx = odata[0]

# retrieve last ODataProductNode
node_idx = odata[-1]

# retrieve 10 first products
products = odata[:10]

# retrieve Product by name
name = 'S2B_OPER_MSI_L0__GR_EPAE_..._D05_N02.06.tar'
node_name_list = odata[name]  # returns a list
node_name = odata[name]  # returns first occurrence of the list

# retrieve Product by UUID
uuid = UUID('0723d9bf-02a2-3e99-b1b3-f6d81de84b62')
node_uuid = odata[uuid]


# get product attributes
prd_node = odata[uuid]
attr_node = prd_node['Attributes']['Footprint']

attr_type = attr_node @ 'ValueType'
attr_value = attr_node.value

# filter and order products
filtered_children = odata[
    ODataQueryPredicate(
        filter="startswith(Name,'S1')",
        order="ContentLength desc"
    )
]

# You can also use the Expression given with this driver
filtered_children = odata[
    ODataQueryPredicate(
        filter=ExpressionFunc.startswith(
        ExpressionType.property('Name'),'S1'),
        order=(ExpressionType.property('ContentLength'),
               ExpressionType.property('desc')
        )
    )
]

The same example with DHus catalog (https://scihub.copernicus.eu/dhus/odata/v2)

The only change is

# get product attributes
# For DhuS ValueType not exist in Attributes...
attr_type = attr_node @ 'ContentType'

A similar example with ONDA-DIAS catalog (https://catalogue.onda-dias.eu/dias-catalogue)

import uuid
from drb.drivers.odata import ODataQueryPredicate
from drb.topics import resolver

url = 'https+odata://catalogue.onda-dias.eu/dias-catalogue'

# generate ODataServiceNode corresponding to the service.
odata = resolver.create(url)

# retrieve Product by UUID
uuid_node = uuid.UUID('34a0a4ed-0246-4a57-827d-70350b96d03d')
node_uuid = odata[uuid_node]

attr_node = node_uuid['Attributes']
children = attr_node.children
foot_print = node_uuid.get_attribute('footprint')
print(foot_print)
print(attr_node['Online quality check'].value)

# search by product type limited two the 2 first result
filtered_children = odata[
    ODataQueryPredicate(
        search='"(platformName:Sentinel-2) AND (productType:S2MSI2A)"',
        top="2"
    )
]

Odata Query Expression

To help the user can create query by using ExpressionType, ExpressionOperator and ExpressionFunc

ExpressionType

Function Description Example query
bool To put a boolean value in a query ExpressionType.bool(True) true
string To put a string value in a query ExpressionType.string('toto') 'toto'
number To put a int or float value in a query ExpressionType.number(100) 101
collection To put an array of values in a query ExpressionType.collection([1,2,3]) [1,2,3,4,5]
property To put an odata property in a query ExpressionType.property('Name') Name
footprint To put an odata footprint in a query ExpressionType.footprint([(-12, 34), (32, 34))] geography'SRID=4326;Polygon((-12 34,32 34)

ComparisonOperator

Function Description Example Query
eq equal ComparisonOperator.eq(ExpressionType.property('My_Prop'),ExpressionType.string('Toto')) My_Prop eq 'Toto'
ne Not equal ComparisonOperator.ne(ExpressionType.property('My_Prop'),ExpressionType.number(100)) My_Prop ne 100
has Has flags ComparisonOperator.has(ExpressionType.property('Style'),ExpressionType.property("Sales.Color'Yellow'")) Style has Sales.Color'Yellow'
co_in Is a member of ComparisonOperator.co_in(ExpressionType.property('Address/City'),GroupingOperator.group(ExpressionType.property("'Redmond', 'London'"))) Address/City in ('Redmond', 'London')
lt Less than ComparisonOperator.lt(ExpressionType.property('Price'),ExpressionType.number(20) Price lt 20
le less than or equal ComparisonOperator.le(ExpressionType.property('Price'),ExpressionType.number(20) Price le 20
gt greater than ComparisonOperator.gt(ExpressionType.property('Price'),ExpressionType.number(20) Price gt 20
ge greater or equal ComparisonOperator.ge(ExpressionType.property('Price'),ExpressionType.number(20) Price ge 20

LogicalOperator

Function Description Example Query
lo_and Logical and LogicalOperator.lo_and(ge, gt) Price ge 20 and Price gt 20
lo_or Logical or LogicalOperator.lo_or(ge, gt) Price ge 20 or Price gt 20
lo_not Logical negation LogicalOperator.lo_not(ge) not Price ge 20

ArithmeticOperator

Function Description Example Query
add Addition ArithmeticOperator.add(ExpressionType.property('Price'),ExpressionType.number(5)) Price add 20
sub Subtraction ArithmeticOperator.sub(ExpressionType.property('Price'),ExpressionType.number(5)) Price sub 20
mul Multiplication ArithmeticOperator.mul(ExpressionType.property('Price'),ExpressionType.number(5)) Price mul 20
div Division ArithmeticOperator.div(ExpressionType.property('Price'),ExpressionType.number(5)) Price div 20
divby Decimal Division ArithmeticOperator.divby(ExpressionType.property('Price'),ExpressionType.number(5)) Price divby 20
mod Modulo ArithmeticOperator.mod(ExpressionType.property('Price'),ExpressionType.number(5)) Price mod 20

GroupingOperator

Function Description Example Query
group Precedence grouping GroupingOperator.group(ExpressionOperator.add(ExpressionType.property('Price'),ExpressionType.number(5))) (Price add 5)

ExpressionFunc

function Example Query
concat ExpressionFunc.concat(ExpressionType.property('City'),ExpressionType.string(', ')) concat(City,', ')
contains ExpressionFunc.contains(ExpressionType.property('City'),'London') contains(City,'London')
endswith ExpressionFunc.endswith(ExpressionType.property('City'),'on') endswith(City,'on')
startswith ExpressionFunc.startswith(ExpressionType.property('City'),'Lo') startswith(City,'Lo')
indexof ExpressionFunc.indexof(ExpressionType.property('Company'),'Gael') indexof(Company,'Gael')
length ExpressionFunc.length(ExpressionType.property('Company')) length(Company)
substring ExpressionFunc.substring(ExpressionType.property('Company'),1) substring(Company,1)
hassubset ExpressionFunc.hassubset(ExpressionType.array([1, 2, 3, 4, 5]), ExpressionType.array([3, 4])) hassubset([1,2,3,4,5],[3,4])
hassubsequence ExpressionFunc.hassubsequence(ExpressionType.array([1, 2, 3, 4, 5]), ExpressionType.array([3, 5]) ) hassubsequence([1,2,3,4,5],[3,5])
matchesPattern ExpressionFunc.matchesPattern(ExpressionType.property('CompanyName'),ExpressionType.string('%5EA.*e$')) matchesPattern(CompanyName,'%5EA.*e$')
tolower ExpressionFunc.tolower(ExpressionType.property('CompanyName')) tolower(CompanyName)
toupper ExpressionFunc.toupper(ExpressionType.property('CompanyName')) toupper(CompanyName)
trim ExpressionFunc.trim(ExpressionType.property('CompanyName')) trim(CompanyName)
day ExpressionFunc.day(ExpressionType.property('StartTime')) day(StartTime)
date ExpressionFunc.date(ExpressionType.property('StartTime')) date(StartTime)
second ExpressionFunc.second(ExpressionType.property('StartTime')) second(StartTime)
hour ExpressionFunc.hour(ExpressionType.property('StartTime')) hour(StartTime)
minute ExpressionFunc.minute(ExpressionType.property('StartTime')) minute(StartTime)
month ExpressionFunc.month(ExpressionType.property('StartTime')) month(StartTime)
time ExpressionFunc.time(ExpressionType.property('StartTime')) time(StartTime)
totaloffsetminutes ExpressionFunc.totaloffsetminutes(ExpressionType.property('StartTime')) totaloffsetminutes(StartTime)
totalseconds ExpressionFunc.totalseconds(ExpressionType.property('StartTime')) totalseconds(StartTime)
year ExpressionFunc.year(ExpressionType.property('StartTime')) year(StartTime)
maxdatetime ExpressionFunc.maxdatetime(ExpressionType.property('StartTime')) maxdatetime(StartTime)
mindatetime ExpressionFunc.mindatetime(ExpressionType.property('StartTime')) mindatetime(StartTime)
now ExpressionFunc.now() now()
ceiling ExpressionFunc.ceiling(ExpressionType.property('Freight')) ceiling(Freight)
floor ExpressionFunc.floor(ExpressionType.property('Freight')) floor(Freight)
round ExpressionFunc.round(ExpressionType.property('Freight')) round(Freight)
cast ExpressionFunc.cast(ExpressionType.property('ShipCountry'),ExpressionType.property('Edm.String')) cast(ShipCountry,Edm.String)
isof ExpressionFunc.isof(ExpressionType.property('ShipCountry'),ExpressionType.property('Edm.String')) isof(ShipCountry,Edm.String)
geo_distance ExpressionFunc.geo_distance(ExpressionType.property('CurrentPosition'),ExpressionType.property('TargetArea')) geo.distance(CurrentPosition,TargetArea)
geo_intersects ExpressionFunc.geo_intersects(ExpressionType.property('CurrentPosition'),ExpressionType.property('TargetArea')) geo.intersects(CurrentPosition,TargetArea)
csc_intersect ExpressionFunc.csc_intersect(ExpressionType.property('CurrentPosition'),ExpressionType.property('TargetArea')) OData.CSC.Intersects(CurrentPosition,TargetArea)
geo_length ExpressionFunc.geo_length(ExpressionType.property('DirectRoute')) geo.length(DirectRoute)
case ExpressionFunc.case([(ExpressionOperator.gt(ExpressionType.property('X'),ExpressionType.number(0)),1),(ExpressionOperator.lt(ExpressionType.property('X'),ExpressionType.number(0)),-1),(ExpressionType.bool(True),0)]) case(X gt 0:1,X lt 0:-1,true:0)
any ExpressionFunc.any('a',ExpressionOperator.gt(ExpressionType.property('a/TotalPrice'),ExpressionType.number(100))) any(a:a/TotalPrice gt 100)
all ExpressionFunc.all('d' ExpressionOperator.gt(ExpressionType.property('d/TotalPrice'),ExpressionType.number(100))) all(d:d/TotalPrice gt 100)

Geographic query argument

For geographic query this driver supports:

  • String query like:
    "geography'SRID=4326;Polygon((0.0 0.0,1.0 0.0,1.0 1.0,0.0 1.0,0.0 0.0))'"
  • List of tuple representing coordinate:
    [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0)])
  • A polygon:
    Polygon([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])

Odata Query Builder

Another way to build Odata queries consists in using the query_builder helper.

Once you have provided the url of your catalog (CSS, DAS, Dhus, Dias), the Odata service node, provides a class query_builder to build the query filter compatible with your catalog

This class enables to build complex Odata queries using methods to filter products by

  • date (sensing date, publication date, ...)
  • geographic area ( polygon)
  • string ( product name)
  • numerical parameters (cloud coverage, online)
  • collection of product (Sentinel-1, 2 ...)

Examples

from drb.drivers.odata import ODataQueryPredicate, OdataFactory
from datetime import datetime, date
import json


# Add '+odata' for recognize the odata driver usage.
url = 'https+odata://my.csc.odata.com'

# generate ODataServiceNode corresponding to the service.
svc = OdataFactory().create(url)

# retrieve the query filter builder
qbuilder = svc.get_filterquery_builder()

# to search for products acquired between two dates
# you can use either 
qbuilder.add_date_filter(qbuilder.tag_product_sensing_date, 
                        ("2023-11-01T00:00:00.0Z", 
                         "2023-11-30T00:00:00.0Z"))
# or
qbuilder.add_product_sensing_date_filter(
    ("2023-11-01T00:00:00.0Z", 
    "2023-11-30T00:00:00.0Z"))
# or 
qbuilder.add_product_sensing_date_filter(
    (datetime(2023,11,1),datetime(2023,11,30)))

# to search for products whose product name start either by S1
# or S2 and contains either OCN or MSIL2A 
qbuilder.add_string_filter(tag = qbuilder.tag_product_name, 
                         startswith=("S1", "S2"),
                         contains = ("OCN", "MSIL2A"))
# or
qbuilder.add_product_name_filter(startswith=("S1", "S2"),
                                contains = ("SLC", "MSIL2A"))



 # to search for product intersecting a geographic polygon area
long_min = -8 
long_max = 8
lat_max = 55
lat_min = 40
qbuilder.add_geometry_filter(((long_min, lat_min),
                              (long_max, lat_min),
                              (long_max, lat_max),
                              (long_min, lat_max),
                              (long_min, lat_min)))
# or using a geoJson coordinates syntax 
AGeoJson = [ [long_min, lat_min ],
             [long_max, lat_min ],
             [long_max, lat_max ],
             [long_min, lat_max ],
             [long_min, lat_min ]
           ]        
qbuilder.add_geometry_filter(AGeoJson)


# to search for products by attributs (cloud coverage <=50% )
qbuilder.add_attribute_parameters(qbuilder.tag_cloud_attribute,
                                  50,
                                  "=<")
# or
qbuilder.add_product_cloud_parameters(50,"=<")

# to print the Odata filter
print(qbuilder.build_filter().filter)

# exemple of result for CSC catalog 
"(startswith(Name,'S1') or startswith(Name,'S2')) and (contains(Name,'SLC') or contains(Name,'MSIL2A')) and ContentDate/Start gt 2023-08-01T00:00:00.0Z and ContentDate/Start lt 2023-09-01T00:00:00.0Z and OData.CSC.Intersects(area=geography'SRID=4326;POLYGON((-8.0 40.0,8.0 40.0,8.0 55.0,-8.0 55.0,-8.0 40.0))') and Attributes/OData.CSC.DoubleAttribute/any(att:att/Name eq 'cloudCover' and att/OData.CSC.DoubleAttribute/Value eq 50.0)"
# and for DIAS
'(name:S1* OR name:S2*) AND (name:*SLC* OR name:*MSIL2A*) AND beginPosition:[2023-08-01T00:00:00.0Z TO *] AND beginPosition:[* TO 2023-09-01T00:00:00.0Z] AND footprint:"Intersects(POLYGON((-8.0 40.0,8.0 40.0,8.0 55.0,-8.0 55.0,-8.0 40.0)))" AND cloudCoverPercentage:[* TO 50.0]'

# and finally to apply your filters and get the list of wanted products, put the predicate in your odata service node
result = svc[qbuilder.build_filter()]
for node in result:
    print(node.name)

Another useful methods of the class query_builder are:

# to reset your query builder content
qbuilder.clear_filter()

# to set query filters using a unique method
qbuilder.query_builder(
    sensingdate = (datetime(2023,8,1),datetime(2023,9,1)),
    footprint = AGeoJson,
    mission =  ProductCollection.Sentinel3)

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