Fix releases

pyproject.toml

@@ -1,5 +1,5 @@
 [build-system]
-requires = ["hatchling"]
+requires = ["hatchling==1.26.3"]
 build-backend = "hatchling.build"
 
 [project]

src/pyrdfrules/__about__.py

@@ -1,4 +1,4 @@
 # SPDX-FileCopyrightText: 2023-present Karel Douda <kareldouda1@gmail.com>
 #
 # SPDX-License-Identifier: MIT
-__version__ = "0.0.1"
+__version__ = "0.0.2"

src/pyrdfrules/common/result/result.py

@@ -1,4 +1,5 @@
 
+from typing import List
 from pyrdfrules.common.rule.resultrule import ResultRule
 from pyrdfrules.common.rule.ruleset import Ruleset
 
@@ -11,6 +12,8 @@ class Result():
     """Ruleset generated by RDFRules.
     """
 
+    predictionTasks: List[dict] = None
+
     data: dict
     """Raw JSON response from RDFRules."""
 
@@ -31,6 +34,8 @@ def _parse_data(self):
         """
 
         rules = []
+        predictionTasks = []
+        evaluate = []
 
         for item in self.data:                
             match item:
@@ -39,11 +44,23 @@ def _parse_data(self):
                     rule = ResultRule.model_validate(item)
                     rules.append(rule)               
                     pass
+
+                case {'candidates': _, 'predictionTask': __}:
+                    # Item is a prediction task
+                    predictionTasks.append(item)
+                    pass
+
+                case {'error': _}:
+                    # Item is an error
+                    print("Error: " + item['error'])
+                    pass
+
                 case _: 
                     print("Unknown item")
                     pass
 
         self.ruleset = Ruleset(rules = rules)
+        self.predictionTasks = predictionTasks
 
     def get_ruleset(self) -> Ruleset:
         """Returns the ruleset generated by RDFRules.

src/tests/data/evaluate.json

@@ -0,0 +1,117 @@
+[
+{
+    "name": "LoadGraph",
+    "parameters": {
+    "path": "/data/wn18rr/train.tsv",
+    "settings": "tsvParsedUris"
+    }
+},
+{
+    "name": "Index",
+    "parameters": {
+    "train": [],
+    "test": []
+    }
+},
+{
+    "name": "Mine",
+    "parameters": {
+    "thresholds": [
+        {
+        "name": "MinHeadSize",
+        "value": 1
+        },
+        {
+        "name": "MinSupport",
+        "value": 5
+        },
+        {
+        "name": "MaxRuleLength",
+        "value": 3
+        }
+    ],
+    "ruleConsumers": [
+        {
+        "name": "topK",
+        "k": 10000,
+        "allowOverflow": true
+        }
+    ],
+    "patterns": [],
+    "constraints": [
+        {
+        "name": "OnlyLowerCardinalitySideConstants"
+        }
+    ],
+    "parallelism": 0
+    }
+},
+{
+    "name": "ComputeConfidence",
+    "parameters": {
+    "name": "QpcaConfidence",
+    "min": 0.2
+    }
+},
+{
+    "name": "SortRuleset",
+    "parameters": {
+    "by": []
+    }
+},
+{
+    "name": "Prune",
+    "parameters": {
+    "strategy": "DataCoveragePruning",
+    "onlyFunctionalProperties": false,
+    "onlyExistingTriples": true,
+    "injectiveMapping": true
+    }
+},
+{
+    "name": "Predict",
+    "parameters": {
+    "rules": [],
+    "chooseTestSet": true,
+    "testPath": "/data/wn18rr/test.tsv",
+    "predictedResults": [],
+    "headVariablePreMapping": {
+        "type": "noMapping"
+    },
+    "injectiveMapping": true,
+    "mergeTestAndTrainForPrediction": true,
+    "onlyTestCoveredPredictions": false
+    }
+},
+{
+    "name": "GroupPredictions",
+    "parameters": {
+    "useScorer": true,
+    "scorer": {
+        "type": "maximum",
+        "confidence": "default"
+    },
+    "useConsumer": false,
+    "confidence": "default"
+    }
+},
+{
+    "name": "ToPredictionTasks",
+    "parameters": {
+    "confidence": "default",
+    "generator": {
+        "type": "testCardinalities"
+    }
+    }
+},
+{
+    "name": "WithModes",
+    "parameters": {}
+},
+{
+    "name": "Evaluate",
+    "parameters": {
+    "ranking": "test"
+    }
+}
+]