Update pysmartdatamodels.py

pysmartdatamodels/README.md

@@ -200,6 +200,10 @@ print(sdm.validate_dcat_ap_distribution_sdm(content_DCAT))
 print("25:")
 print(sdm.subject_for_datamodel(dataModel))
 
+# Return a fake normalized ngsi-ld format example based on the given json schema (passed as a string)
+print("26 : ")
+print(sdm.ngsi_ld_example_generator_str(schema: str, dataModel: str, subject: str))
+
 ```
 
 ## Functions available include:
@@ -439,7 +443,6 @@ print(sdm.subject_for_datamodel(dataModel))
           if there's any problem related to input parameter and json schema:
               False
 
-
 18- Return a fake key value ngsi-ld format example. Function ngsi_ld_keyvalue_example_generator(schemaUrl)
 
         It returns a fake key value ngsi-ld format example based on the given json schema
@@ -578,6 +581,20 @@ print(sdm.subject_for_datamodel(dataModel))
            Usually only one element in the array isa returned because there are few clashes in data model names
            False if no subject is found         
 
+26- Return a fake normalized ngsi-ld format example. Function ngsi_ld_example_generator_str(schema: str, dataModel: str, subject: str)
+
+        It returns a fake normalized ngsi-ld format example based on the given json schema
+            Parameters:
+                schema: schema.json contents
+                dataModel: repo name
+                subject: model name
+
+            Returns:
+                if the input parameter exists and the json schema is a valide json:
+                    a fake normalized ngsi-ld format example stored in dictionary format
+                if there's any problem related to input parameter and json schema:
+                    False
+
 ## Pending features (glad to receive contributions to them)
 
 A.- Function to allow submission of improvements (i.e. missing recommended units or model) and comments to the different data models. Currently, you can do it searching for your data model here 
@@ -592,6 +609,6 @@ if you want to suggest other functions/ needs please let us know at info@smartda
 
 Special thanks to the following contributors:
 
-- [fdrobnic](https://github.com/fdrobnic): Changes for porting to Windows
+- [fdrobnic](https://github.com/fdrobnic): Changes for porting to Windows and a function for generating a fake example from a non-published schema
 - [Antonio Jara](https://twitter.com/Antonio_Jara): New function for inserting data into broker
 - [María José Bernal]([email protected]): Necessary extension for function update_broker() to allow updating nonexistent attribute into broker

pysmartdatamodels/pysmartdatamodels.py

@@ -843,46 +843,7 @@ def ngsi_ld_example_generator(schema_url: str):
     payload = open_jsonref(schema_url)
     if payload == "": return False
 
-    output = {}
-    fullDict = {}
-
-    # Parse the "allOf", "anyOf", "oneOf" structure
-    if "allOf" in payload:
-        for index in range(len(payload["allOf"])):
-            if "properties" in payload["allOf"][index]:
-                fullDict = {**fullDict, **payload["allOf"][index]["properties"]}
-            else:
-                fullDict = {**fullDict, **payload["allOf"][index]}
-    elif "anyOf" in payload:
-        for index in range(len(payload["anyOf"])):
-            if "properties" in payload["anyOf"][index]:
-                fullDict = {**fullDict, **payload["anyOf"][index]["properties"]}
-            else:
-                fullDict = {**fullDict, **payload["anyOf"][index]}
-    elif "oneOf" in payload:
-        for index in range(len(payload["oneOf"])):
-            if "properties" in payload["oneOf"][index]:
-                fullDict = {**fullDict, **payload["oneOf"][index]["properties"]}
-            else:
-                fullDict = {**fullDict, **payload["oneOf"][index]}
-    else:
-        fullDict = payload["properties"].copy()
-
-    for prop in fullDict:
-
-        parsedProperty = parse_property2ngsild_example({prop: fullDict[prop]}, dataModel, 0)
-
-        # id and type should be key-value format in ngsild format
-        if prop in ["id"]:
-            output = {**output, **parsedProperty}
-        elif prop in ["type"]:
-            output = {**output, **{prop: parsedProperty}}
-        else:
-            output = {**output, **{prop: parsedProperty}}
-
-    output["@context"] = [create_context(subject)]
-
-    return output
+    return ngsi_ld_example_generator_str(payload, dataModel, subject)
 
 
 # 18
@@ -1613,3 +1574,78 @@ def subject_for_datamodel(datamodel):
     else:
         return subjects
 
+
+# 26
+def ngsi_ld_example_generator_str(schema: str, dataModel: str, subject: str):
+    """It returns a fake normalized ngsi-ld format example based on the given json schema
+    Parameters:
+        schema: schema.json contents
+        dataModel: repo name
+        subject: model name
+    Returns:
+        if the input parameter exists and the json schema is a valide json:
+            a fake normalized ngsi-ld format example stored in dictionary format
+        if there's any problem related to input parameter and json schema:
+            False
+    """
+
+    if dataModel == "" or subject == "":
+        return False
+
+    output = {}
+    tz = pytz.timezone("Europe/Madrid")
+
+    try:
+        payload = json.loads(schema)
+    except ValueError:
+        output["result"] = False
+        output["cause"] = "Schema parameter value is not a valid json"
+        output["time"] = str(datetime.datetime.now(tz=tz))
+        # output["parameters"] = {"schema_url: ": schema_url}
+        print(json.dumps(output))
+        sys.exit()
+
+    if payload == "":
+        return False
+
+    fullDict = {}
+    fullDict['id'] = {}
+
+    # Parse the "allOf", "anyOf", "oneOf" structure
+    if "allOf" in payload:
+        for index in range(len(payload["allOf"])):
+            if "properties" in payload["allOf"][index]:
+                fullDict = {**fullDict, **payload["allOf"][index]["properties"]}
+            else:
+                fullDict = {**fullDict, **payload["allOf"][index]}
+    elif "anyOf" in payload:
+        for index in range(len(payload["anyOf"])):
+            if "properties" in payload["anyOf"][index]:
+                fullDict = {**fullDict, **payload["anyOf"][index]["properties"]}
+            else:
+                fullDict = {**fullDict, **payload["anyOf"][index]}
+    elif "oneOf" in payload:
+        for index in range(len(payload["oneOf"])):
+            if "properties" in payload["oneOf"][index]:
+                fullDict = {**fullDict, **payload["oneOf"][index]["properties"]}
+            else:
+                fullDict = {**fullDict, **payload["oneOf"][index]}
+    else:
+        fullDict = payload["properties"].copy()
+
+    for prop in fullDict:
+
+        parsedProperty = parse_property2ngsild_example({prop: fullDict[prop]}, dataModel, 0)
+
+        # id and type should be key-value format in ngsild format
+        if prop in ["id"]:
+            output = {**output, **parsedProperty}
+        elif prop in ["type"]:
+            output = {**output, **{prop: parsedProperty}}
+        else:
+            output = {**output, **{prop: parsedProperty}}
+
+    output["@context"] = [create_context('dataModel.' + dataModel)]
+    # output["@context"] = [create_context(subject)]
+
+    return output

pysmartdatamodels/pysmartdatamodels/pysmartdatamodels.py

@@ -842,8 +842,44 @@ def ngsi_ld_example_generator(schema_url: str):
     payload = open_jsonref(schema_url)
     if payload == "": return False
 
+    return ngsi_ld_example_generator_str(payload, dataModel, subject)
+
+def ngsi_ld_example_generator_str(schema: str, dataModel: str, subject: str):
+    """It returns a fake normalized ngsi-ld format example based on the given json schema
+    Parameters:
+        schema: schema.json contents
+        dataModel: repo name
+        subject: model name
+
+    Returns:
+        if the input parameter exists and the json schema is a valide json:
+            a fake normalized ngsi-ld format example stored in dictionary format
+        if there's any problem related to input parameter and json schema:
+            False
+    """
+
+    if dataModel == "" or subject == "":
+        return False
+
     output = {}
+    tz = pytz.timezone("Europe/Madrid")
+
+    try:
+        payload = json.loads(schema)
+    except ValueError:
+        output["result"] = False
+        output["cause"] = "Schema parameter value is not a valid json"
+        output["time"] = str(datetime.datetime.now(tz=tz))
+        # output["parameters"] = {"schema_url: ": schema_url}
+        print(json.dumps(output))
+        sys.exit()
+
+    if payload == "":
+        return False
+
+    # print(payload["allOf"])
     fullDict = {}
+    fullDict['id'] = {}
 
     # Parse the "allOf", "anyOf", "oneOf" structure
     if "allOf" in payload:
@@ -879,7 +915,8 @@ def ngsi_ld_example_generator(schema_url: str):
         else:
             output = {**output, **{prop: parsedProperty}}
 
-    output["@context"] = [create_context(subject)]
+    output["@context"] = [create_context('dataModel.' + dataModel)]
+    # output["@context"] = [create_context(subject)]
 
     return output