refactor(iql): add iql gen exception (#77)

src/dbally/iql_generator/iql_generator.py

@@ -5,6 +5,7 @@
 from dbally.iql_generator.prompt import IQL_GENERATION_TEMPLATE, IQLGenerationPromptFormat
 from dbally.llms.base import LLM
 from dbally.llms.clients.base import LLMOptions
+from dbally.llms.clients.exceptions import LLMError
 from dbally.prompt.elements import FewShotExample
 from dbally.prompt.template import PromptTemplate
 from dbally.views.exposed_functions import ExposedFunction
@@ -52,13 +53,15 @@ async def generate_iql(
             event_tracker: Event store used to audit the generation process.
             examples: List of examples to be injected into the conversation.
             llm_options: Options to use for the LLM client.
-            n_retries: Number of retries to regenerate IQL in case of errors.
+            n_retries: Number of retries to regenerate IQL in case of errors in parsing or LLM connection.
 
         Returns:
             Generated IQL query.
 
         Raises:
-            IQLError: If IQL generation fails after all retries.
+            LLMError: If LLM text generation fails after all retries.
+            IQLError: If IQL parsing fails after all retries.
+            UnsupportedQueryError: If the question is not supported by the view.
         """
         prompt_format = IQLGenerationPromptFormat(
             question=question,
@@ -82,6 +85,9 @@ async def generate_iql(
                     allowed_functions=filters,
                     event_tracker=event_tracker,
                 )
+            except LLMError as exc:
+                if retry == n_retries:
+                    raise exc
             except IQLError as exc:
                 if retry == n_retries:
                     raise exc

src/dbally/llms/base.py

@@ -69,6 +69,9 @@ async def generate_text(
 
         Returns:
             Text response from LLM.
+
+        Raises:
+            LLMError: If LLM text generation fails.
         """
         options = (self.default_options | options) if options else self.default_options
         event = LLMEvent(prompt=prompt.chat, type=type(prompt).__name__)

src/dbally/nl_responder/nl_responder.py

@@ -59,6 +59,9 @@ async def generate_response(
 
         Returns:
             Natural language response to the user question.
+
+        Raises:
+            LLMError: If LLM text generation fails.
         """
         prompt_format = NLResponsePromptFormat(
             question=question,

src/dbally/view_selection/llm_view_selector.py

@@ -48,6 +48,9 @@ async def select_view(
 
         Returns:
             The most relevant view name.
+
+        Raises:
+            LLMError: If LLM text generation fails.
         """
         prompt_format = ViewSelectionPromptFormat(question=question, views=views)
         formatted_prompt = self._prompt_template.format_prompt(prompt_format)

src/dbally/views/exceptions.py

@@ -0,0 +1,26 @@
+from typing import Optional
+
+from dbally.exceptions import DbAllyError
+
+
+class IQLGenerationError(DbAllyError):
+    """
+    Exception for when an error occurs while generating IQL for a view.
+    """
+
+    def __init__(
+        self,
+        view_name: str,
+        filters: Optional[str] = None,
+        aggregation: Optional[str] = None,
+    ) -> None:
+        """
+        Args:
+            view_name: Name of the view that caused the error.
+            filters: Filters generated by the view.
+            aggregation: Aggregation generated by the view.
+        """
+        super().__init__(f"Error while generating IQL for view {view_name}")
+        self.view_name = view_name
+        self.filters = filters
+        self.aggregation = aggregation

src/dbally/views/structured.py

@@ -5,9 +5,12 @@
 from dbally.audit.event_tracker import EventTracker
 from dbally.collection.results import ViewExecutionResult
 from dbally.iql import IQLQuery
+from dbally.iql._exceptions import IQLError
 from dbally.iql_generator.iql_generator import IQLGenerator
+from dbally.iql_generator.prompt import UnsupportedQueryError
 from dbally.llms.base import LLM
 from dbally.llms.clients.base import LLMOptions
+from dbally.views.exceptions import IQLGenerationError
 from dbally.views.exposed_functions import ExposedFunction
 
 from ..similarity import AbstractSimilarityIndex
@@ -57,21 +60,36 @@ async def ask(
             The result of the query.
 
         Raises:
-            IQLError: If the generated IQL query is not valid.
+            LLMError: If LLM text generation API fails.
+            IQLGenerationError: If the IQL generation fails.
         """
         iql_generator = self.get_iql_generator(llm)
 
         filters = self.list_filters()
         examples = self.list_few_shots()
 
-        iql = await iql_generator.generate_iql(
-            question=query,
-            filters=filters,
-            examples=examples,
-            event_tracker=event_tracker,
-            llm_options=llm_options,
-            n_retries=n_retries,
-        )
+        try:
+            iql = await iql_generator.generate_iql(
+                question=query,
+                filters=filters,
+                examples=examples,
+                event_tracker=event_tracker,
+                llm_options=llm_options,
+                n_retries=n_retries,
+            )
+        except UnsupportedQueryError as exc:
+            raise IQLGenerationError(
+                view_name=self.__class__.__name__,
+                filters=None,
+                aggregation=None,
+            ) from exc
+        except IQLError as exc:
+            raise IQLGenerationError(
+                view_name=self.__class__.__name__,
+                filters=exc.source,
+                aggregation=None,
+            ) from exc
+
         await self.apply_filters(iql)
 
         result = self.execute(dry_run=dry_run)