feat: pass list type parameters via client sdk (#2567)

The purpose of this PR is to support using the same type of parameters
as `partition_*()` when using `partition_via_api()`. This PR works
together with `unsturctured-api` [PR
#368](Unstructured-IO/unstructured-api#368).

**Note:** This PR will support extracting image blocks("Image", "Table")
via partition_via_api().

### Summary
- update `partition_via_api()` to convert all list type parameters to
JSON formatted strings before passing them to the unstructured client
SDK
- add a unit test function to test extracting image blocks via
`parition_via_api()`
- add a unit test function to test list type parameters passed to API
via unstructured client sdk

### Testing
```
from unstructured.partition.api import partition_via_api

elements = partition_via_api(
    filename="example-docs/embedded-images-tables.pdf",
    api_key="YOUR-API-KEY",
    strategy="hi_res",
    extract_image_block_types=["image", "table"],
)

image_block_elements = [el for el in elements if el.category == "Image" or el.category == "Table"]
print("\n\n".join([el.metadata.image_mime_type for el in image_block_elements]))
print("\n\n".join([el.metadata.image_base64 for el in image_block_elements]))
```

Author: christinestraub

CHANGELOG.md

@@ -12,6 +12,7 @@
 
 ### Fixes
 
+* **Fix passing list type parameters when calling unstructured API via `partition_via_api()`** Update `partition_via_api()` to convert all list type parameters to JSON formatted strings before calling the unstructured client SDK. This will support image block extraction via `partition_via_api()`.
 * **Add OctoAI embedder** Adds support for embeddings via OctoAI.
 * **Fix `check_connection` in opensearch, databricks, postgres, azure connectors**
 * **Fix don't treat plain text files with double quotes as JSON ** If a file can be deserialized as JSON but it deserializes as a string, treat it as plain text even though it's valid JSON.

test_unstructured/partition/test_api.py

@@ -1,3 +1,4 @@
+import base64
 import contextlib
 import json
 import os
@@ -8,7 +9,7 @@
 import requests
 from unstructured_client.general import General
 
-from unstructured.documents.elements import NarrativeText
+from unstructured.documents.elements import ElementType, NarrativeText
 from unstructured.partition.api import partition_multiple_via_api, partition_via_api
 
 DIRECTORY = pathlib.Path(__file__).parent.resolve()
@@ -210,6 +211,52 @@ def test_partition_via_api_valid_request_data_kwargs():
     assert isinstance(elements, list)
 
 
+def test_partition_via_api_image_block_extraction():
+    filename = os.path.join(DIRECTORY, "..", "..", "example-docs", "embedded-images-tables.pdf")
+    elements = partition_via_api(
+        filename=filename,
+        strategy="hi_res",
+        extract_image_block_types=["image", "table"],
+        api_key=get_api_key(),
+    )
+    image_elements = [el for el in elements if el.category == ElementType.IMAGE]
+    for el in image_elements:
+        assert el.metadata.image_base64 is not None
+        assert el.metadata.image_mime_type is not None
+        image_data = base64.b64decode(el.metadata.image_base64)
+        assert isinstance(image_data, bytes)
+
+
+def test_partition_via_api_pass_list_type_parameters(monkeypatch):
+    mock_request = Mock(return_value=MockResponse(status_code=200))
+    monkeypatch.setattr(requests.Session, "request", mock_request)
+
+    filename = os.path.join(DIRECTORY, "..", "..", "example-docs", "embedded-images-tables.pdf")
+
+    partition_via_api(
+        filename=filename,
+        strategy="hi_res",
+        extract_image_block_types=["image", "table"],
+        skip_infer_table_types=["pdf", "docx"],
+        languages=["eng"],
+    )
+
+    mock_request.assert_called_with(
+        "POST",
+        ANY,
+        data=ANY,
+        files=[
+            ["extract_image_block_types", [None, '["image", "table"]']],
+            ["files", ANY],
+            ["languages", [None, '["eng"]']],
+            ["skip_infer_table_types", [None, '["pdf", "docx"]']],
+            ["strategy", [None, "hi_res"]],
+        ],
+        headers=ANY,
+        params=ANY,
+    )
+
+
 # Note(austin) - This test is way too noisy against the hosted api
 # def test_partition_via_api_invalid_request_data_kwargs():
 #     filename = os.path.join(DIRECTORY, "..", "..", "example-docs", "layout-parser-paper-fast.pdf")

unstructured/partition/api.py

@@ -1,4 +1,5 @@
 import contextlib
+import json
 from typing import (
     IO,
     List,
@@ -88,6 +89,13 @@ def partition_via_api(
             file_name=metadata_filename,
         )
 
+    # NOTE(christine): Converts all list type parameters to JSON formatted strings
+    # (e.g. ["image", "table"] -> '["image", "table"]')
+    # This can be removed if "speakeasy" supports passing list type parameters to FastAPI.
+    for k, v in request_kwargs.items():
+        if isinstance(v, list):
+            request_kwargs[k] = json.dumps(v)
+
     req = shared.PartitionParameters(
         files=files,
         **request_kwargs,