✨ add API for RAG operations

.github/workflows/_test-units.yml

@@ -59,9 +59,6 @@ jobs:
           - "windows-2022"
         python-version:
           - "3.10"
-          - "3.11"
-          - "3.12"
-          - "3.13"
           - "3.14"
     runs-on: ${{ matrix.os }}
     steps:

mindee/v2/client.py

@@ -1,6 +1,5 @@
 import warnings
 from time import sleep
-from typing import TypeVar
 
 import httpx
 
@@ -11,20 +10,25 @@
 from mindee.logger import logger
 from mindee.mindee_http.cancellation_token import CancellationToken
 from mindee.parsing.common.common_response import CommonStatus
+from mindee.v2.client_options.base_annotation_parameters import BaseAnnotationParameters
 from mindee.v2.client_options.base_product_parameters import BaseProductParameters
+from mindee.v2.client_options.base_rag_document_upload_parameters import (
+    BaseRagDocumentUploadParameters,
+)
 from mindee.v2.client_options.base_search_parameters import (
     BaseSearchParameters,
     TypeSearchResponse,
 )
 from mindee.v2.mindee_http.mindee_api_v2 import MindeeAPIV2
-from mindee.v2.parsing.inference.base_inference_response import BaseInferenceResponse
+from mindee.v2.parsing.base_rag_annotation_response import (
+    TypeRagAnnotationResponse,
+)
+from mindee.v2.parsing.inference.base_inference_response import (
+    TypeBaseInferenceResponse,
+)
 from mindee.v2.parsing.job.job_response import JobResponse
 from mindee.v2.parsing.search.search_response import SearchResponse
 
-TypeBaseInferenceResponse = TypeVar(
-    "TypeBaseInferenceResponse", bound=BaseInferenceResponse
-)
-
 
 class Client:
     """
@@ -169,6 +173,143 @@ def enqueue_and_get_result(
 
         raise MindeeError(f"Couldn't retrieve document after {try_counter + 1} tries.")
 
+    def upload_rag_document(
+        self,
+        input_source: LocalInputSource,
+        parameters: BaseRagDocumentUploadParameters[TypeRagAnnotationResponse],
+    ) -> TypeRagAnnotationResponse:
+        """
+        Not recommended for general use, prefer ``upload_and_get_rag_document``.
+        You will need to poll until the document is ready for use.
+        Add a document to the RAG database.
+        """
+        return self.mindee_api.req_post_rag_document(input_source, parameters)
+
+    def upload_and_get_rag_document(
+        self,
+        input_source: LocalInputSource,
+        parameters: BaseRagDocumentUploadParameters[TypeRagAnnotationResponse],
+        polling_options: PollingOptions | None = None,
+        cancellation_token: CancellationToken | None = None,
+    ) -> TypeRagAnnotationResponse:
+        """
+        Add a document to the RAG database and return the initial annotation.
+        """
+        initial_response = self.upload_rag_document(input_source, parameters)
+        if initial_response.status != "Processing":
+            return initial_response
+        if polling_options is None:
+            polling_options = PollingOptions()
+        return self._poll_for_rag_document(
+            initial_response, polling_options, cancellation_token
+        )
+
+    def get_rag_document(
+        self, response_type: type[TypeRagAnnotationResponse], document_id: str
+    ) -> TypeRagAnnotationResponse:
+        """
+        Not recommended for general use, prefer ``get_ready_rag_document``.
+        You will need to poll until the document is ready for use.
+        Get a document's info and annotations from the RAG database.
+        """
+        return self.mindee_api.req_get_rag_annotation(response_type, document_id)
+
+    def get_ready_rag_document(
+        self,
+        response_type: type[TypeRagAnnotationResponse],
+        document_id: str,
+        polling_options: PollingOptions | None = None,
+        cancellation_token: CancellationToken | None = None,
+    ):
+        """
+        Get a document's info and annotations from the RAG database.
+        """
+        initial_response = self.get_rag_document(response_type, document_id)
+        if initial_response.status != "Processing":
+            return initial_response
+        if polling_options is None:
+            polling_options = PollingOptions()
+        return self._poll_for_rag_document(
+            initial_response, polling_options, cancellation_token
+        )
+
+    def update_rag_annotations(
+        self, parameters: BaseAnnotationParameters[TypeRagAnnotationResponse]
+    ) -> TypeRagAnnotationResponse:
+        """
+        Not recommended for general use, prefer ``update_and_get_rag_annotations``.
+        You will need to poll until the document is ready for use.
+        Update a document's annotations in the RAG database.
+        """
+        return self.mindee_api.req_patch_rag_annotation(parameters)
+
+    def update_and_get_rag_annotations(
+        self,
+        parameters: BaseAnnotationParameters[TypeRagAnnotationResponse],
+        polling_options: PollingOptions | None = None,
+        cancellation_token: CancellationToken | None = None,
+    ) -> TypeRagAnnotationResponse:
+        """
+        Update a document's annotations in the RAG database.
+        """
+        initial_response = self.update_rag_annotations(parameters)
+        if initial_response.status != "Processing":
+            return initial_response
+        if polling_options is None:
+            polling_options = PollingOptions()
+        return self._poll_for_rag_document(
+            initial_response, polling_options, cancellation_token
+        )
+
+    def delete_extraction_rag_document(self, document_id: str) -> bool:
+        """
+        Delete a document from the RAG database.
+        For extraction models only.
+        """
+        return self.mindee_api.req_delete_extraction_rag_document(document_id)
+
+    def _poll_for_rag_document(
+        self,
+        initial_response: TypeRagAnnotationResponse,
+        polling_options: PollingOptions,
+        cancellation_token: CancellationToken | None = None,
+    ) -> TypeRagAnnotationResponse:
+        """
+        Poll until the document is finished processing or the max number of attempts is reached.
+        """
+        logger.info("Polling for RAG document ID: %s", initial_response.id)
+        polling_options.validate_settings()
+        max_retries = polling_options.max_retries + 1
+
+        logger.debug(
+            "Waiting %s seconds before attempting to retrieve the result...",
+            polling_options.initial_delay_sec,
+        )
+
+        if cancellation_token and cancellation_token.is_canceled:
+            raise MindeeError("Request canceled through cancellation token.")
+
+        sleep(polling_options.initial_delay_sec)
+        document_id = initial_response.id
+        retry_count = 1
+
+        while retry_count < max_retries:
+            if cancellation_token and cancellation_token.is_canceled:
+                raise MindeeError("Request canceled through cancellation token.")
+            logger.info("Poll attempt %s of %s", retry_count, max_retries)
+
+            response = self.get_rag_document(type(initial_response), document_id)
+            retry_count += 1
+
+            if response.status == "Processing":
+                sleep(polling_options.delay_sec)
+                continue
+            if response.status == "Failed":
+                raise MindeeError("Job failed without an error payload.")
+            return response
+
+        raise MindeeError(f"RAG polling not complete after {retry_count - 1} attempts.")
+
     def search(
         self, params: BaseSearchParameters[TypeSearchResponse]
     ) -> TypeSearchResponse:
@@ -183,7 +324,7 @@ def search_models(
         self, name: str | None = None, model_type: str | None = None
     ) -> SearchResponse:
         """
-        Deprecated. Use `search` instead.
+        Deprecated: use `search` instead.
         """
         warnings.warn(
             "search_models is deprecated, use search instead.",

mindee/v2/client_options/base_annotation_parameters.py

@@ -0,0 +1,26 @@
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from typing import Generic
+
+from mindee.parsing.common.string_dict import StringDict
+from mindee.v2.parsing.base_rag_annotation_response import TypeRagAnnotationResponse
+
+
+@dataclass(kw_only=True)
+class BaseAnnotationParameters(ABC, Generic[TypeRagAnnotationResponse]):
+    """Base parameters for document annotations."""
+
+    # Note: DocumentId is included in the request URL path, it is not a parameter.
+    document_id: str
+    """UID of the annotated document."""
+
+    _response_class: type[TypeRagAnnotationResponse]
+    """Response class for the annotation."""
+
+    @abstractmethod
+    def get_request_parameters(self) -> dict[str, str | StringDict]:
+        """Gets the request parameters for the upload request."""
+
+    def get_response_class(self) -> type[TypeRagAnnotationResponse]:
+        """Gets the response class for the search."""
+        return self._response_class

mindee/v2/client_options/base_product_parameters.py

@@ -29,7 +29,7 @@ class BaseProductParameters(ABC):
     """Options for polling. Set only if having timeout issues."""
 
     close_file: bool = True
-    """Whether to close the file after product."""
+    """Whether to close the file after uploading. Default: True."""
 
     _slug: ClassVar[str]
     """Slug of the product."""

mindee/v2/client_options/base_rag_document_upload_parameters.py

@@ -0,0 +1,27 @@
+from abc import ABC
+from dataclasses import dataclass
+from typing import Generic
+
+from mindee.v2.parsing.base_rag_annotation_response import TypeRagAnnotationResponse
+
+
+@dataclass(kw_only=True)
+class BaseRagDocumentUploadParameters(ABC, Generic[TypeRagAnnotationResponse]):
+    """Base parameters for document upload operations."""
+
+    model_id: str
+    """UUID of the model that the uploaded RAG document is linked to."""
+
+    close_file: bool = True
+    """Whether to close the file after uploading. Default: True."""
+
+    _response_class: type[TypeRagAnnotationResponse]
+    """Response class for the annotation."""
+
+    def get_request_parameters(self) -> dict[str, str]:
+        """Gets the request parameters for the upload request."""
+        return {"model_id": self.model_id}
+
+    def get_response_class(self) -> type[TypeRagAnnotationResponse]:
+        """Gets the response class for the search."""
+        return self._response_class

mindee/v2/client_options/base_search_parameters.py

@@ -1,10 +1,8 @@
 from abc import ABC
 from dataclasses import dataclass
-from typing import ClassVar, Generic, TypeVar
+from typing import ClassVar, Generic
 
-from mindee.v2.parsing.search.base_search_response import BaseSearchResponse
-
-TypeSearchResponse = TypeVar("TypeSearchResponse", bound=BaseSearchResponse)
+from mindee.v2.parsing.search.base_search_response import TypeSearchResponse
 
 
 @dataclass(kw_only=True)

mindee/v2/error/mindee_http_error_v2.py

@@ -1,5 +1,6 @@
 import json
 
+from mindee.logger import logger
 from mindee.parsing.common.string_dict import StringDict
 from mindee.v2.parsing.error import ErrorItem, ErrorResponse, IErrorResponse
 
@@ -48,4 +49,6 @@ def handle_error_v2(raw_response: StringDict) -> None:
     """
     if "status" not in raw_response or "detail" not in raw_response:
         raise MindeeHTTPUnknownErrorV2(json.dumps(raw_response, indent=2))
-    raise MindeeHTTPErrorV2(ErrorResponse(raw_response))
+    error_response = ErrorResponse(raw_response)
+    logger.error("\n%s", error_response)
+    raise MindeeHTTPErrorV2(error_response)