[traceRetrieval] implemented enum parsing

src/participation-hub/business-logic-microservice/app/_add_use_case_scripts/debug/sample_trace.json

+{
+    "ApplicationType": "debug",
+    "docType": "pizza",
+    "id": 1,
+    "dough": {
+        "type": "wheat",
+        "spinach": false
+    },
+    "toppings": [
+        {
+            "name": "cheese",
+            "price": 0.99
+        }
+    ],
+    "name": "Margherita"
+}
\ No newline at end of file

src/participation-hub/business-logic-microservice/app/_add_use_case_scripts/debug/tables/add_pizza_table.py

@@ -64,6 +64,7 @@ def main(use_case: str):
         {
             "UniqueID": "id",
             "name": "name",
+            "nameIndex": "enum(name)",
             "doughType": "dough//type",
             "hasSpinach": "dough//spinach",
             "firstTopping": "toppings[0]//name",
@@ -81,10 +82,11 @@ def main(use_case: str):
                 "name": "Price_Layer",
                 "properties": [
                     "UniqueID",
-                    "firstToppingPrice"
+                    "firstToppingPrice",
+                    "nameIndex"
                 ],
                 "cluster_properties": [
-                    "firstToppingPrice"
+                    "firstToppingPrice",
                 ]
             },
             {

src/transaction-hub-in/trace-retrieval-microservice/app/messaging/MessageHandler.py

+from typing import Dict
 from security.token_manager import TokenManager
 import network_constants
 from database.entities.transaction import Transaction
@@ -10,11 +11,10 @@ import logging
 import requests
 requests.packages.urllib3.disable_warnings()
 
-from typing import Dict
-
 
 LOGGER = logging.getLogger(__name__)
 
+
 class MessageHandler:
     MSG_NOT_JSON = "Message is not in JSON format and is ignored"
     MSG_NO_TYPE = "Message has no type field and is ignored"
@@ -25,14 +25,13 @@ class MessageHandler:
     _message_sender = None
     _rest_fetcher = None
 
-    def __init__(self, mongo_repo, message_sender, rest_fetcher:RestFetcher):
+    def __init__(self, mongo_repo, message_sender, rest_fetcher: RestFetcher):
         self._mongo_repo = mongo_repo
         self._message_sender = message_sender
         self._message_sender.create_message_destination('datahub', 'direct')
         self._rest_fetcher = rest_fetcher
 
     def handle_generic(self, body):
-        
         result = None
 
         message = None
@@ -58,40 +57,10 @@ class MessageHandler:
             LOGGER.warning(result)
             LOGGER.info(f"Received message: {body}")
 
-
-        #LOGGER.info(result) #too much spam
+        # LOGGER.info(result) #too much spam
         return result
 
-    def _resolve_path(self, data: Dict, path:str) -> Dict:
-        '''
-        resolves a path without concatenation in a json dictionary
-
-        @params
-        data - Required: Dictionary that is the decoded json string
-        path - Required: path of multiple keys seperated by "//" and list indizes "[5]"
-        '''
-        path_pieces = path.split("//")
-        value = data
-
-        # resolve all pieces of the path in order
-        for i in range(0,len(path_pieces)):
-            piece = path_pieces[i]
-
-            # is the current path piece in the form attribute[index]?
-            if piece[-1] == "]":
-                start = piece.index("[")
-
-                # stem ... attribute name
-                # index ... list index
-                stem = piece[:start]
-                index = int(piece[start+1:-1])
-
-                value = value[stem][index]
-            else:
-                value = value[piece]
-        return value
-
-    def _flatten_transaction(self, transaction: Dict, mappings: Dict):
+    def _flatten_transaction(self, transaction: Dict, mappings: Dict, use_case: str, table: str):
         '''
         Resolves all paths in [mappings] with the data from [transaction] and creates
         a non-nested flattened element.
@@ -101,34 +70,83 @@ class MessageHandler:
         mappings    - Required: contains string->path mappings, describing how the flattened object is built
         '''
 
-        # print("TRANSACTION: "+str(transaction))
-        # print("MAPPINGS: "+str(mappings))
-
+        print("yey new trace ^.^")
         flattened = {}
 
         # iterate over schema mappings and resolve paths
-        for mapping in mappings.keys():
-            full_path = mappings[mapping]
+        for mapping_name in mappings.keys():
+            full_path = mappings[mapping_name]
 
             concat_paths = full_path.split("+")
             values = []
 
+            # resolve individual path parts
             for path in concat_paths:
-                values.append(
-                    self._resolve_path(transaction, path)
-                )
+                resolved_value = self._resolve_path(mapping_name, transaction, path)
+
+                if path.startswith("enum("):
+                    resolved_value = self._resolve_enum(use_case, table, mapping_name, resolved_value)
+                    
+                values.append(resolved_value)
 
+            # rejoin individual parts
             if len(values) > 1:
                 final_value = "".join([str(value) for value in values])
             else:
                 final_value = values[0]
 
-            flattened[mapping] = final_value
+            flattened[mapping_name] = final_value
 
-        flattened["UniqueID"] = hashlib.sha256(str(flattened["UniqueID"]).encode("utf-8")).hexdigest()
+        flattened["UniqueID"] = hashlib.sha256(
+            str(flattened["UniqueID"]).encode("utf-8")).hexdigest()
 
         return flattened
 
+    def _resolve_enum(self, use_case: str, table: str, enum_name: str, enum_value: str):
+        return RestFetcher().fetch_enum_value(use_case, table, enum_name, enum_value)
+
+    def _resolve_path(self, attribute_name: str, data: Dict, path: str) -> Dict:
+        '''
+        resolves a path WITHOUT concatenation in a json dictionary. ignores enum
+        calculation and returns the value to be enumified instead.
+
+        @params
+        data - Required: Dictionary that is the decoded json string
+        path - Required: path of multiple keys seperated by "//" and list indizes "[5]"
+        '''
+
+        # cutoff of enum if present
+        if path.startswith("enum("):
+            path = path[5:-1]
+
+        path_pieces = path.split("//")
+        value = data
+
+        # resolve all pieces of the path in order
+        for i in range(0, len(path_pieces)):
+            piece = path_pieces[i]
+            value = self._resolve_path_part(value, piece)
+
+        return value
+
+    def _resolve_path_part(self, data: Dict, path_part: str):
+        value = None
+
+        # is the current path piece in the form attribute[index]?
+        if path_part[-1] == "]":
+            start = path_part.index("[")
+
+            # stem ... attribute name
+            # index ... list index
+            stem = path_part[:start]
+            index = int(path_part[start+1:-1])
+
+            value = data[stem][index]
+        else:
+            value = data[path_part]
+
+        return value
+
     def handle_blockchain_transaction(self, transaction_message: Dict):
         '''
         Proccesses a blockchain transaction. The schema gets fetched from the business-logic microservice and a flattened
@@ -140,14 +158,16 @@ class MessageHandler:
 
         # check if there is a use-case in the message
         if "ApplicationType" not in transaction_message:
-            LOGGER.error("Transaction has no ApplicationType, storing it under use-case 'unknown'.")
+            LOGGER.error(
+                "Transaction has no ApplicationType, storing it under use-case 'unknown'.")
             transaction_message["ApplicationType"] = "unknown"
             self._mongo_repo.add_failed_transaction(transaction_message)
             return
 
         # check if there is a table in the message
         if "docType" not in transaction_message:
-            LOGGER.error("Transaction has no docType, storing it under table 'unknown'.")
+            LOGGER.error(
+                "Transaction has no docType, storing it under table 'unknown'.")
             transaction_message["docType"] = "unknown"
             self._mongo_repo.add_failed_transaction(transaction_message)
             return
@@ -156,9 +176,11 @@ class MessageHandler:
         transaction_table = transaction_message["docType"]
 
         try:
-            tables = self._rest_fetcher.fetch_schema_information(transaction_use_case)
+            tables = self._rest_fetcher.fetch_schema_information(
+                transaction_use_case)
         except ValueError as e:
-            LOGGER.error(f"{e}\nCould not fetch schema, storing it as a failed transaction..")
+            LOGGER.error(
+                f"{e}\nCould not fetch schema, storing it as a failed transaction..")
             self._mongo_repo.add_failed_transaction(transaction_message)
             return
 
@@ -171,25 +193,35 @@ class MessageHandler:
 
         # abort if table does not exist.
         if target_table == None:
-            LOGGER.error(f"There is no table '{transaction_table}', storing it as a failed transaction.")
+            LOGGER.error(
+                f"There is no table '{transaction_table}', storing it as a failed transaction.")
             self._mongo_repo.add_failed_transaction(transaction_message)
             return
 
         mappings = table["mappings"]
         try:
-            flattened = self._flatten_transaction(transaction_message, mappings)
+            flattened = self._flatten_transaction(
+                transaction_message, 
+                mappings, 
+                transaction_use_case,
+                transaction_table
+            )
         except KeyError as e:
-            LOGGER.error(f"Failed while flattening with KeyError: {str(e)}, storing it as a failed transaction.")
+            LOGGER.error(
+                f"Failed while flattening with KeyError: {str(e)}, storing it as a failed transaction.")
             self._mongo_repo.add_failed_transaction(transaction_message)
             return
 
-        transaction = Transaction(transaction_use_case, target_table["name"], flattened)
+        transaction = Transaction(
+            transaction_use_case, target_table["name"], flattened)
 
-        #check for duplicates
+        # check for duplicates
         try:
-            references = self._mongo_repo.get_transaction_with_id(transaction.id(),transaction_use_case,transaction_table)
+            references = self._mongo_repo.get_transaction_with_id(
+                transaction.id(), transaction_use_case, transaction_table)
             if references != None:
-                LOGGER.info("Found duplicate, storing it as a duplicated transaction.")
+                LOGGER.info(
+                    "Found duplicate, storing it as a duplicated transaction.")
                 self._mongo_repo.add_duplicated_transaction(transaction)
                 return
         except ValueError as e:
@@ -203,7 +235,6 @@ class MessageHandler:
             # self._mongo_repo.add_failed_transaction(transaction_message)
             return
 
-
         msg = {
             "type": "new-trace",
             "content": transaction.to_serializable_dict()
@@ -212,4 +243,5 @@ class MessageHandler:
         msg_string = json.dumps(msg)
 
         # inform semantic linking microservice
-        self._message_sender.send_message('datahub', 'semantic-linking', msg_string)
+        self._message_sender.send_message(
\ No newline at end of file
+            'datahub', 'semantic-linking', msg_string)

src/transaction-hub-in/trace-retrieval-microservice/app/messaging/rest_fetcher.py

@@ -2,9 +2,33 @@ from security.token_manager import TokenManager
 import network_constants
 
 from typing import List
-import json, requests
+import json
+import requests
+
 
 class RestFetcher:
+
+    def fetch_enum_value(self, use_case: str, table: str, enum_name: str, enum_value: str) -> int:
+        jwt_token = TokenManager.getInstance().getToken()
+        url = f'https://{network_constants.BUSINESS_LOGIC_HOSTNAME}:{network_constants.BUSINESS_LOGIC_REST_PORT}/api/use-cases/{use_case}/tables/{table}/enum/{enum_name}?value={enum_value}'
+        print(f"calling {url}")
+
+        # query tables for use-case
+        url = url
+        response = requests.put(
+            url,
+            verify=False,
+            proxies={"http": None, "https": None},
+            headers={"Authorization": f"Bearer {jwt_token}"},
+        )
+
+        if response.status_code != 200:
+            raise ValueError(
+                f"Error while retrieving Enum information.\tStatus-code:{response.status_code}")
+
+        enum = json.loads(response.text)
+        return enum["index"]
+
     def fetch_schema_information(self, use_case: str) -> List:
         jwt_token = TokenManager.getInstance().getToken()
 
@@ -12,13 +36,14 @@ class RestFetcher:
         url = f'https://{network_constants.BUSINESS_LOGIC_HOSTNAME}:{network_constants.BUSINESS_LOGIC_REST_PORT}/api/use-cases/{use_case}/tables'
         response = requests.get(
             url,
-                verify = False, 
-                proxies = { "http":None, "https":None },
-                headers = { "Authorization": f"Bearer {jwt_token}"}
+            verify=False,
+            proxies={"http": None, "https": None},
+            headers={"Authorization": f"Bearer {jwt_token}"}
         )
 
         if response.status_code != 200:
-            raise ValueError(f"Error while retrieving schema information.\tStatus-code:{response.status_code}")
+            raise ValueError(
+                f"Error while retrieving schema information.\tStatus-code:{response.status_code}")
 
         tables = json.loads(response.text)
         return tables