OpenAI Files & Vector Store Hooks

airflow/providers/openai/hooks/openai.py

@@ -18,13 +18,22 @@
 from __future__ import annotations
 
 from functools import cached_property
-from typing import TYPE_CHECKING, Any, Literal
+from typing import TYPE_CHECKING, Any, BinaryIO, Literal
 
 from openai import OpenAI
 
 if TYPE_CHECKING:
-    from openai.types.beta import Assistant, AssistantDeleted, Thread, ThreadDeleted
+    from openai.types import FileDeleted, FileObject
+    from openai.types.beta import (
+        Assistant,
+        AssistantDeleted,
+        Thread,
+        ThreadDeleted,
+        VectorStore,
+        VectorStoreDeleted,
+    )
     from openai.types.beta.threads import Message, Run
+    from openai.types.beta.vector_stores import VectorStoreFile, VectorStoreFileBatch, VectorStoreFileDeleted
     from openai.types.chat import (
         ChatCompletionAssistantMessageParam,
         ChatCompletionFunctionMessageParam,
@@ -111,7 +120,8 @@ def create_chat_completion(
         return response.choices
 
     def create_assistant(self, model: str = "gpt-3.5-turbo", **kwargs: Any) -> Assistant:
-        """Create an OpenAI assistant using the given model.
+        """
+        Create an OpenAI assistant using the given model.
 
         :param model: The OpenAI model for the assistant to use.
         """
@@ -133,26 +143,26 @@ def get_assistants(self, **kwargs: Any) -> list[Assistant]:
         return assistants.data
 
     def get_assistant_by_name(self, assistant_name: str) -> Assistant | None:
-        """Get an OpenAI Assistant object for a given name.
+        """
+        Get an OpenAI Assistant object for a given name.
 
         :param assistant_name: The name of the assistant to retrieve
         """
-        response = self.get_assistants()
-        for assistant in response:
-            if assistant.name == assistant_name:
-                return assistant
-        return None
+        assistants = self.get_assistants()
+        return next((assistant for assistant in assistants if assistant.name == assistant_name), None)
 
     def modify_assistant(self, assistant_id: str, **kwargs: Any) -> Assistant:
-        """Modify an existing Assistant object.
+        """
+        Modify an existing Assistant object.
 
         :param assistant_id: The ID of the assistant to be modified.
         """
         assistant = self.conn.beta.assistants.update(assistant_id=assistant_id, **kwargs)
         return assistant
 
     def delete_assistant(self, assistant_id: str) -> AssistantDeleted:
-        """Delete an OpenAI Assistant for a given ID.
+        """
+        Delete an OpenAI Assistant for a given ID.
 
         :param assistant_id: The ID of the assistant to delete.
         """
@@ -165,16 +175,18 @@ def create_thread(self, **kwargs: Any) -> Thread:
         return thread
 
     def modify_thread(self, thread_id: str, metadata: dict[str, Any]) -> Thread:
-        """Modify an existing Thread object.
+        """
+        Modify an existing Thread object.
 
-        :param thread_id: The ID of the thread to modify.
+        :param thread_id: The ID of the thread to modify. Only the metadata can be modified.
         :param metadata: Set of 16 key-value pairs that can be attached to an object.
         """
         thread = self.conn.beta.threads.update(thread_id=thread_id, metadata=metadata)
         return thread
 
     def delete_thread(self, thread_id: str) -> ThreadDeleted:
-        """Delete an OpenAI thread for a given thread_id.
+        """
+        Delete an OpenAI thread for a given thread_id.
 
         :param thread_id: The ID of the thread to delete.
         """
@@ -184,7 +196,8 @@ def delete_thread(self, thread_id: str) -> ThreadDeleted:
     def create_message(
         self, thread_id: str, role: Literal["user", "assistant"], content: str, **kwargs: Any
     ) -> Message:
-        """Create a message for a given Thread.
+        """
+        Create a message for a given Thread.
 
         :param thread_id: The ID of the thread to create a message for.
         :param role: The role of the entity that is creating the message. Allowed values include: 'user', 'assistant'.
@@ -196,15 +209,17 @@ def create_message(
         return thread_message
 
     def get_messages(self, thread_id: str, **kwargs: Any) -> list[Message]:
-        """Return a list of messages for a given Thread.
+        """
+        Return a list of messages for a given Thread.
 
         :param thread_id: The ID of the thread the messages belong to.
         """
         messages = self.conn.beta.threads.messages.list(thread_id=thread_id, **kwargs)
         return messages.data
 
     def modify_message(self, thread_id: str, message_id, **kwargs: Any) -> Message:
-        """Modify an existing message for a given Thread.
+        """
+        Modify an existing message for a given Thread.
 
         :param thread_id: The ID of the thread to which this message belongs.
         :param message_id: The ID of the message to modify.
@@ -215,16 +230,31 @@ def modify_message(self, thread_id: str, message_id, **kwargs: Any) -> Message:
         return thread_message
 
     def create_run(self, thread_id: str, assistant_id: str, **kwargs: Any) -> Run:
-        """Create a run for a given thread and assistant.
+        """
+        Create a run for a given thread and assistant.
 
         :param thread_id: The ID of the thread to run.
         :param assistant_id: The ID of the assistant to use to execute this run.
         """
         run = self.conn.beta.threads.runs.create(thread_id=thread_id, assistant_id=assistant_id, **kwargs)
         return run
 
+    def create_run_and_poll(self, thread_id: str, assistant_id: str, **kwargs: Any) -> Run:
+        """
+        Create a run for a given thread and assistant and then polls until completion.
+
+        :param thread_id: The ID of the thread to run.
+        :param assistant_id: The ID of the assistant to use to execute this run.
+        :return: An OpenAI Run object
+        """
+        run = self.conn.beta.threads.runs.create_and_poll(
+            thread_id=thread_id, assistant_id=assistant_id, **kwargs
+        )
+        return run
+
     def get_run(self, thread_id: str, run_id: str) -> Run:
-        """Retrieve a run for a given thread and run.
+        """
+        Retrieve a run for a given thread and run.
 
         :param thread_id: The ID of the thread that was run.
         :param run_id: The ID of the run to retrieve.
@@ -257,11 +287,137 @@ def create_embeddings(
         model: str = "text-embedding-ada-002",
         **kwargs: Any,
     ) -> list[float]:
-        """Generate embeddings for the given text using the given model.
+        """
+        Generate embeddings for the given text using the given model.
 
         :param text: The text to generate embeddings for.
         :param model: The model to use for generating embeddings.
         """
         response = self.conn.embeddings.create(model=model, input=text, **kwargs)
         embeddings: list[float] = response.data[0].embedding
         return embeddings
+
+    def upload_file(self, file: str, purpose: Literal["fine-tune", "assistants"]) -> FileObject:
+        """
+        Upload a file that can be used across various endpoints. The size of all the files uploaded by one organization can be up to 100 GB.
+
+        :param file: The File object (not file name) to be uploaded.
+        :param purpose: The intended purpose of the uploaded file. Use "fine-tune" for
+            Fine-tuning and "assistants" for Assistants and Messages.
+        """
+        file_object = self.conn.files.create(file=open(file, "rb"), purpose=purpose)
+        return file_object
+
+    def get_file(self, file_id: str) -> FileObject:
+        """
+        Return information about a specific file.
+
+        :param file_id: The ID of the file to use for this request.
+        """
+        file = self.conn.files.retrieve(file_id=file_id)
+        return file
+
+    def get_files(self) -> list[FileObject]:
+        """Return a list of files that belong to the user's organization."""
+        files = self.conn.files.list()
+        return files.data
+
+    def get_file_by_name(self, file_name: str) -> FileObject | None:
+        """
+        Get an OpenAI Assistant object for a given name.
+
+        :param file_name: The name of the file object to retrieve
+        """
+        files = self.get_files()
+        return next((file for file in files if file.filename == file_name), None)
+
+    def delete_file(self, file_id) -> FileDeleted:
+        """
+        Delete a file.
+
+        :param file_id: The ID of the file to be deleted.
+        """
+        response = self.conn.files.delete(file_id=file_id)
+        return response
+
+    def create_vector_store(self, **kwargs) -> VectorStore:
+        """Create a vector store."""
+        vector_store = self.conn.beta.vector_stores.create(**kwargs)
+        return vector_store
+
+    def get_vectors_stores(self, **kwargs) -> list[VectorStore]:
+        """Return a list of vector stores."""
+        vector_stores = self.conn.beta.vector_stores.list(**kwargs)
+        return vector_stores.data
+
+    def get_vector_store(self, vector_store_id: str) -> VectorStore:
+        """
+        Retrieve a vector store.
+
+        :param vector_store_id: The ID of the vector store to retrieve.
+        """
+        vector_store = self.conn.beta.vector_stores.retrieve(vector_store_id=vector_store_id)
+        return vector_store
+
+    def get_vector_store_by_name(self, vector_store_name: str) -> VectorStore | None:
+        """
+        Get an OpenAI Vector Store object for a given name.
+
+        :param vector_store_name: The name of the vector store to retrieve.
+        """
+        vector_stores = self.get_vectors_stores()
+        return next(
+            (vector_store for vector_store in vector_stores if vector_store.name == vector_store_name), None
+        )
+
+    def modify_vector_store(self, vector_store_id: str, **kwargs) -> VectorStore:
+        """
+        Modify a vector store.
+
+        :param vector_store_id: The ID of the vector store to modify.
+        """
+        vector_store = self.conn.beta.vector_stores.update(vector_store_id=vector_store_id, **kwargs)
+        return vector_store
+
+    def delete_vector_store(self, vector_store_id: str) -> VectorStoreDeleted:
+        """
+        Delete a vector store.
+
+        :param vector_store_id: The ID of the vector store to delete.
+        """
+        response = self.conn.beta.vector_stores.delete(vector_store_id=vector_store_id)
+        return response
+
+    def upload_files_to_vector_store(
+        self, vector_store_id: str, files: list[BinaryIO]
+    ) -> VectorStoreFileBatch:
+        """
+        Upload files to a vector store and poll until completion.
+
+        :param vector_store_id: The ID of the vector store the files are to be uploaded
+            to.
+        :param files: A list of binary files to upload.
+        """
+        file_batch = self.conn.beta.vector_stores.file_batches.upload_and_poll(
+            vector_store_id=vector_store_id, files=files
+        )
+        return file_batch
+
+    def get_vector_store_files(self, vector_store_id: str) -> list[VectorStoreFile]:
+        """
+        Return a list of vector store files.
+
+        :param vector_store_id:
+        """
+        vector_store_files = self.conn.beta.vector_stores.files.list(vector_store_id=vector_store_id)
+        return vector_store_files.data
+
+    def delete_vector_store_file(self, vector_store_id: str, file_id: str) -> VectorStoreFileDeleted:
+        """
+        Delete a vector store file. This will remove the file from the vector store but the file itself will not be deleted. To delete the file, use delete_file.
+
+        :param vector_store_id: The ID of the vector store that the file belongs to.
+        :param file_id: The ID of the file to delete.
+        """
+        response = self.conn.beta.vector_stores.files.delete(vector_store_id=vector_store_id, file_id=file_id)
+        return response

airflow/providers/openai/provider.yaml

@@ -41,7 +41,7 @@ integrations:
 
 dependencies:
   - apache-airflow>=2.7.0
-  - openai[datalib]>=1.16
+  - openai[datalib]>=1.23
 
 hooks:
   - integration-name: OpenAI

generated/provider_dependencies.json

@@ -805,7 +805,7 @@
   "openai": {
     "deps": [
       "apache-airflow>=2.7.0",
-      "openai[datalib]>=1.16"
+      "openai[datalib]>=1.23"
     ],
     "devel-deps": [],
     "cross-providers-deps": [],