##############################
# Auto-generated. Do not Edit
##############################
import re
from pylipd.utils import uniqid
from pylipd.classes.datatable import DataTable
from pylipd.classes.model import Model
[docs]
class ChronData:
"""Auto-generated LinkedEarth class representing `ChronData`."""
def __init__(self):
"""Initialize a new ChronData instance."""
self.measurementTables: list[DataTable] = []
self.modeledBy: list[Model] = []
self.misc = {}
self.ontns = "http://linked.earth/ontology#"
self.ns = "http://linked.earth/lipd"
self.type = "http://linked.earth/ontology#ChronData"
self.id = self.ns + "/" + uniqid("ChronData.")
[docs]
@staticmethod
def from_data(id, data) -> 'ChronData':
"""Instantiate `ChronData` from an ontology-style data graph.
Parameters
----------
id : str
The node identifier for this object.
data : dict
Dictionary mapping node ids to their predicate lists.
Returns
-------
ChronData
The populated `ChronData` instance.
"""
self = ChronData()
self.id = id
mydata = data[id]
for key in mydata:
value = mydata[key]
obj = None
if key == "type":
for val in value:
self.type = val["@id"]
elif key == "hasMeasurementTable":
for val in value:
if "@id" in val:
obj = DataTable.from_data(val["@id"], data)
else:
obj = val["@value"]
self.measurementTables.append(obj)
elif key == "modeledBy":
for val in value:
if "@id" in val:
obj = Model.from_data(val["@id"], data)
else:
obj = val["@value"]
self.modeledBy.append(obj)
else:
for val in value:
obj = None
if "@id" in val:
obj = data[val["@id"]]
elif "@value" in val:
obj = val["@value"]
self.set_non_standard_property(key, obj)
return self
[docs]
def to_data(self, data={}):
"""Serialize the object into a JSON-LD compatible dictionary.
Parameters
----------
data : dict, optional
Existing data dictionary to extend.
Returns
-------
dict
The updated data dictionary.
"""
data[self.id] = {}
data[self.id]["type"] = [
{
"@id": self.type,
"@type": "uri"
}
]
if len(self.measurementTables):
data[self.id]["hasMeasurementTable"] = []
for value_obj in self.measurementTables:
if type(value_obj) is str:
obj = {
"@value": value_obj,
"@type": "literal",
"@datatype": "http://www.w3.org/2001/XMLSchema#string"
}
else:
obj = {
"@id": value_obj.id,
"@type": "uri"
}
data = value_obj.to_data(data)
data[self.id]["hasMeasurementTable"].append(obj)
if len(self.modeledBy):
data[self.id]["modeledBy"] = []
for value_obj in self.modeledBy:
if type(value_obj) is str:
obj = {
"@value": value_obj,
"@type": "literal",
"@datatype": "http://www.w3.org/2001/XMLSchema#string"
}
else:
obj = {
"@id": value_obj.id,
"@type": "uri"
}
data = value_obj.to_data(data)
data[self.id]["modeledBy"].append(obj)
for key in self.misc:
value = self.misc[key]
data[self.id][key] = []
ptype = None
tp = type(value).__name__
if tp == "int":
ptype = "http://www.w3.org/2001/XMLSchema#integer"
elif tp == "float" or tp == "double":
ptype = "http://www.w3.org/2001/XMLSchema#float"
elif tp == "str":
if re.match(r"\d{4}-\d{2}-\d{2}( |T)\d{2}:\d{2}:\d{2}", value):
ptype = "http://www.w3.org/2001/XMLSchema#datetime"
elif re.match(r"\d{4}-\d{2}-\d{2}", value):
ptype = "http://www.w3.org/2001/XMLSchema#date"
else:
ptype = "http://www.w3.org/2001/XMLSchema#string"
elif tp == "bool":
ptype = "http://www.w3.org/2001/XMLSchema#boolean"
data[self.id][key].append({
"@value": value,
"@type": "literal",
"@datatype": ptype
})
return data
[docs]
def to_json(self):
"""Return a lightweight JSON representation (used by LiPD).
Returns
-------
dict
A dictionary representation of this object.
"""
data = {
"@id": self.id
}
if len(self.measurementTables):
data["measurementTable"] = []
for value_obj in self.measurementTables:
obj = value_obj.to_json()
data["measurementTable"].append(obj)
if len(self.modeledBy):
data["model"] = []
for value_obj in self.modeledBy:
obj = value_obj.to_json()
data["model"].append(obj)
for key in self.misc:
value = self.misc[key]
data[key] = value
return data
[docs]
@staticmethod
def from_json(data) -> 'ChronData':
"""Instantiate `ChronData` from its lightweight JSON representation.
Parameters
----------
data : dict
The JSON dictionary to parse.
Returns
-------
ChronData
The populated `ChronData` instance.
"""
self = ChronData()
for key in data:
pvalue = data[key]
if key == "@id":
self.id = pvalue
elif key == "measurementTable":
for value in pvalue:
obj = DataTable.from_json(value)
self.measurementTables.append(obj)
elif key == "model":
for value in pvalue:
obj = Model.from_json(value)
self.modeledBy.append(obj)
else:
self.set_non_standard_property(key, pvalue)
return self
[docs]
def set_non_standard_property(self, key, value):
"""Store a predicate that is not defined in the ontology schema.
This is useful for forward-compatibility with new properties that are
not yet part of the official schema.
Parameters
----------
key : str
The property name.
value : any
The property value.
"""
if key not in self.misc:
self.misc[key] = value
[docs]
def get_non_standard_property(self, key):
"""Return a single non-standard property by key.
Parameters
----------
key : str
The property name.
Returns
-------
any
The property value.
"""
return self.misc[key]
[docs]
def get_all_non_standard_properties(self):
"""Return the dictionary of all non-standard properties.
Returns
-------
dict
Dictionary of all non-standard properties.
"""
return self.misc
[docs]
def add_non_standard_property(self, key, value):
"""Append a value to a list-valued non-standard property.
Parameters
----------
key : str
The property name.
value : any
The value to append.
"""
if key not in self.misc:
self.misc[key] = []
self.misc[key].append(value)
[docs]
def getMeasurementTables(self) -> list[DataTable]:
"""Get measurementTables list.
Returns
-------
list[DataTable]
A list of DataTable objects.
"""
return self.measurementTables
[docs]
def setMeasurementTables(self, measurementTables:list[DataTable]):
"""Set the measurementTables list.
Parameters
----------
measurementTables : list[DataTable]
The list to assign.
"""
assert isinstance(measurementTables, list), "Error: measurementTables is not a list"
assert all(isinstance(x, DataTable) for x in measurementTables), f"Error: '{measurementTables}' is not of type DataTable"
self.measurementTables = measurementTables
[docs]
def addMeasurementTable(self, measurementTables:DataTable):
"""Add a value to the measurementTables list.
Parameters
----------
measurementTables : DataTable
The value to append.
"""
assert isinstance(measurementTables, DataTable), f"Error: '{measurementTables}' is not of type DataTable"
self.measurementTables.append(measurementTables)
[docs]
def getModeledBy(self) -> list[Model]:
"""Get modeledBy list.
Returns
-------
list[Model]
A list of Model objects.
"""
return self.modeledBy
[docs]
def setModeledBy(self, modeledBy:list[Model]):
"""Set the modeledBy list.
Parameters
----------
modeledBy : list[Model]
The list to assign.
"""
assert isinstance(modeledBy, list), "Error: modeledBy is not a list"
assert all(isinstance(x, Model) for x in modeledBy), f"Error: '{modeledBy}' is not of type Model"
self.modeledBy = modeledBy
[docs]
def addModeledBy(self, modeledBy:Model):
"""Add a value to the modeledBy list.
Parameters
----------
modeledBy : Model
The value to append.
"""
assert isinstance(modeledBy, Model), f"Error: '{modeledBy}' is not of type Model"
self.modeledBy.append(modeledBy)