Merge pull request #481 from guardrails-ai/shreya/safe-get-async-vali…

…date

.github/workflows/scripts/run_notebooks.sh

@@ -9,7 +9,7 @@ cd docs/examples
 # Function to process a notebook
 process_notebook() {
     notebook="$1"
-    invalid_notebooks=("valid_chess_moves.ipynb" "translation_with_quality_check.ipynb" "llamaindex-output-parsing.ipynb" "competitors_check.ipynb")
+    invalid_notebooks=("valid_chess_moves.ipynb" "translation_with_quality_check.ipynb" "llamaindex-output-parsing.ipynb")
     if [[ ! " ${invalid_notebooks[@]} " =~ " ${notebook} " ]]; then
         echo "Processing $notebook..."
         poetry run jupyter nbconvert --to notebook --execute "$notebook"

guardrails/document_store.py

@@ -241,21 +241,21 @@ class FallbackEphemeralDocumentStore:
         def __init__(self):
             raise ImportError(
                 "SQLAlchemy is required for EphemeralDocumentStore"
-                "Please install it using `pip install SqlAlchemy`"
+                "Please install it using `poetry add SqlAlchemy`"
             )
 
     class FallbackSQLDocument:
         def __init__(self):
             raise ImportError(
                 "SQLAlchemy is required for SQLDocument"
-                "Please install it using `pip install SqlAlchemy`"
+                "Please install it using `poetry add SqlAlchemy`"
             )
 
     class FallbackSQLMetadataStore:
         def __init__(self):
             raise ImportError(
                 "SQLAlchemy is required for SQLMetadataStore"
-                "Please install it using `pip install SqlAlchemy`"
+                "Please install it using `poetry add SqlAlchemy`"
             )
 
     EphemeralDocumentStore = FallbackEphemeralDocumentStore

guardrails/embedding.py

@@ -20,7 +20,7 @@ def __init__(
         except ImportError:
             raise ImportError(
                 f"`numpy` is required for `{self.__class__.__name__}` class."
-                "Please install it with `pip install numpy`."
+                "Please install it with `poetry add numpy`."
             )
 
         self._model = model
@@ -55,7 +55,7 @@ def _len_safe_get_embedding(
         except ImportError:
             raise ImportError(
                 f"`numpy` is required for `{self.__class__.__name__}` class."
-                "Please install it with `pip install numpy`."
+                "Please install it with `poetry add numpy`."
             )
 
         chunk_embeddings_list = []
@@ -179,7 +179,7 @@ def __init__(
         except ImportError:
             raise ImportError(
                 "The `manifest` package is not installed. "
-                "Install with `pip install manifest-ml`"
+                "Install with `poetry add manifest-ml`"
             )
         super().__init__(engine, encoding_name, max_tokens)
         self._client_name = client_name

guardrails/llm_providers.py

@@ -204,7 +204,7 @@ def _invoke_llm(
         except ImportError:
             raise PromptCallableException(
                 "The `manifest` package is not installed. "
-                "Install with `pip install manifest-ml`"
+                "Install with `poetry add manifest-ml`"
             )
         client = cast(manifest.Manifest, client)
         manifest_response = client.run(
@@ -469,7 +469,7 @@ async def invoke_llm(
         except ImportError:
             raise PromptCallableException(
                 "The `manifest` package is not installed. "
-                "Install with `pip install manifest-ml`"
+                "Install with `poetry add manifest-ml`"
             )
         client = cast(manifest.Manifest, client)
         manifest_response = await client.arun_batch(

guardrails/utils/docs_utils.py

@@ -75,7 +75,7 @@ def sentence_split(text: str) -> t.List[str]:
     except ImportError:
         raise ImportError(
             "nltk is required for sentence splitting. Please install it using "
-            "`pip install nltk`"
+            "`poetry add nltk`"
         )
 
     # Download the nltk punkt tokenizer if it's not already downloaded.
@@ -123,11 +123,11 @@ def get_chunks_from_text(
 
     nltk_error = (
         "nltk is required for sentence splitting. Please install it using "
-        "`pip install nltk`"
+        "`poetry add nltk`"
     )
     tiktoken_error = (
         "tiktoken is required for token splitting. Please install it using "
-        "`pip install tiktoken`"
+        "`poetry add tiktoken`"
     )
 
     if chunk_strategy == "sentence":

guardrails/utils/sql_utils.py

@@ -55,7 +55,7 @@ def __init__(self, schema_file: Optional[str], conn: Optional[str]) -> None:
         if not _HAS_SQLALCHEMY:
             raise ImportError(
                 """The functionality requires sqlalchemy to be installed.
-                              Please install it using `pip install SqlAlchemy`"""
+                              Please install it using `poetry add SqlAlchemy`"""
             )
 
         if schema_file is not None and conn is None:

guardrails/validator_service.py

@@ -256,7 +256,7 @@ async def validate_dependents(
         iteration: Iteration,
     ):
         async def process_child(child_setup):
-            child_value = value[child_setup.key]
+            child_value = safe_get(value, child_setup.key)
             new_child_value, new_metadata = await self.async_validate(
                 child_value,
                 metadata,

guardrails/validators/competitor_check.py

@@ -2,7 +2,7 @@
 from typing import Callable, Dict, List, Optional
 
 from guardrails.logger import logger
-from guardrails.validator_base import (
+from guardrails.validators import (
     FailResult,
     PassResult,
     ValidationResult,

guardrails/vectordb/faiss.py

@@ -12,7 +12,7 @@
 
 faiss_error = (
     "`faiss` is required for using vectordb.faiss."
-    "Install it with `pip install faiss-cpu`."
+    "Install it with `poetry add faiss-cpu`."
 )