Add Snips Inference Module

Add slightly modified version of the original Snips NLU
library. This module adds support for Python upto version
3.10.

Bug-AGL: SPEC-4856
Signed-off-by: Malik Talha <talhamalik727x@gmail.com>
Change-Id: I6d7e9eb181e6ff4aed9b6291027877ccb9f0d846

1 files changed, 55 insertions, 0 deletions

diff --git a/snips_inference_agl/pipeline/configs/nlu_engine.py b/snips_inference_agl/pipeline/configs/nlu_engine.py
new file mode 100644
index 0000000..3826702
--- /dev/null
+++ b/snips_inference_agl/pipeline/configs/nlu_engine.py
@@ -0,0 +1,55 @@
+from __future__ import unicode_literals
+
+from snips_inference_agl.common.from_dict import FromDict
+from snips_inference_agl.constants import CUSTOM_ENTITY_PARSER_USAGE
+from snips_inference_agl.entity_parser import CustomEntityParserUsage
+from snips_inference_agl.pipeline.configs import ProcessingUnitConfig
+from snips_inference_agl.resources import merge_required_resources
+
+
+class NLUEngineConfig(FromDict, ProcessingUnitConfig):
+    """Configuration of a :class:`.SnipsNLUEngine` object
+
+    Args:
+        intent_parsers_configs (list): List of intent parser configs
+            (:class:`.ProcessingUnitConfig`). The order in the list determines
+            the order in which each parser will be called by the nlu engine.
+    """
+
+    def __init__(self, intent_parsers_configs=None, random_seed=None):
+        from snips_inference_agl.intent_parser import IntentParser
+
+        if intent_parsers_configs is None:
+            from snips_inference_agl.pipeline.configs import (
+                ProbabilisticIntentParserConfig,
+                DeterministicIntentParserConfig)
+            intent_parsers_configs = [
+                DeterministicIntentParserConfig(),
+                ProbabilisticIntentParserConfig()
+            ]
+        self.intent_parsers_configs = [
+            IntentParser.get_config(conf) for conf in intent_parsers_configs]
+        self.random_seed = random_seed
+
+    @property
+    def unit_name(self):
+        from snips_inference_agl.nlu_engine.nlu_engine import SnipsNLUEngine
+        return SnipsNLUEngine.unit_name
+
+    def get_required_resources(self):
+        # Resolving custom slot values must be done without stemming
+        resources = {
+            CUSTOM_ENTITY_PARSER_USAGE: CustomEntityParserUsage.WITHOUT_STEMS
+        }
+        for config in self.intent_parsers_configs:
+            resources = merge_required_resources(
+                resources, config.get_required_resources())
+        return resources
+
+    def to_dict(self):
+        return {
+            "unit_name": self.unit_name,
+            "intent_parsers_configs": [
+                config.to_dict() for config in self.intent_parsers_configs
+            ]
+        }