feat: add partition_multiple_via_api function (#539)

* added function for multiple files via api

* make multiple work with files

* updated docs strings

* changelog and version

* docs and contextlib for open files

* tests for partition multiple

* add tests for error conditions

* add output example
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Matt Robinson 2023-05-03 15:06:06 -04:00 committed by GitHub
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5 changed files with 319 additions and 2 deletions

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@ -1,3 +1,16 @@
## 0.6.3-dev0
### Enhancements
### Features
* Added `partition_multiple_via_api` for partitioning multiple documents in a single REST
API call.
### Fixes
## 0.6.2
### Enhancements

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@ -162,6 +162,45 @@ Examples:
elements = partition_via_api(file=f, file_filename=filename, api_key="MY_API_KEY")
``partition_multiple_via_api``
------------------------------
``partition_multiple_via_api`` is similar to ``partition_via_api``, but allows you to partition
multiple documents in a single REST API call. The result has the type ``List[List[Element]]``,
for example:
.. code:: python
[
[NarrativeText("Narrative!"), Title("Title!")],
[NarrativeText("Narrative!"), Title("Title!")]
]
Examples:
.. code:: python
from unstructured.partition.api import partition_multiple_via_api
filenames = ["example-docs/fake-email.eml", "example-docs/fake.docx"]
documents = partition_multiple_via_api(filenames=filenames)
.. code:: python
from contextlib import ExitStack
from unstructured.partition.api import partition_multiple_via_api
filenames = ["example-docs/fake-email.eml", "example-docs/fake.docx"]
files = [open(filename, "rb") for filename in filenames]
with ExitStack() as stack:
files = [stack.enter_context(open(filename, "rb")) for filename in filenames]
documents = partition_multiple_via_api(files=files, file_filenames=filenames)
``partition_docx``
------------------

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@ -1,3 +1,5 @@
import contextlib
import json
import os
import pathlib
@ -5,7 +7,7 @@ import pytest
import requests
from unstructured.documents.elements import NarrativeText
from unstructured.partition.api import partition_via_api
from unstructured.partition.api import partition_multiple_via_api, partition_via_api
DIRECTORY = pathlib.Path(__file__).parent.resolve()
@ -70,3 +72,172 @@ def test_partition_via_api_raises_with_bad_response(monkeypatch):
with pytest.raises(ValueError):
partition_via_api(filename=filename, api_key="FAKEROO")
class MockMultipleResponse:
def __init__(self, status_code):
self.status_code = status_code
def json(self):
return json.loads(self.text)
@property
def text(self):
return """[
[
{
"element_id": "f49fbd614ddf5b72e06f59e554e6ae2b",
"text": "This is a test email to use for unit tests.",
"type": "NarrativeText",
"metadata": {
"date": "2022-12-16T17:04:16-05:00",
"sent_from": [
"Matthew Robinson <mrobinson@unstructured.io>"
],
"sent_to": [
"Matthew Robinson <mrobinson@unstructured.io>"
],
"subject": "Test Email",
"filename": "fake-email.eml"
}
}
],
[
{
"element_id": "f49fbd614ddf5b72e06f59e554e6ae2b",
"text": "This is a test email to use for unit tests.",
"type": "NarrativeText",
"metadata": {
"date": "2022-12-16T17:04:16-05:00",
"sent_from": [
"Matthew Robinson <mrobinson@unstructured.io>"
],
"sent_to": [
"Matthew Robinson <mrobinson@unstructured.io>"
],
"subject": "Test Email",
"filename": "fake-email.eml"
}
}
]
]"""
def test_partition_multiple_via_api_from_filenames(monkeypatch):
monkeypatch.setattr(
requests,
"post",
lambda *args, **kwargs: MockMultipleResponse(status_code=200),
)
filenames = [
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake-email.eml"),
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake.docx"),
]
elements = partition_multiple_via_api(filenames=filenames, api_key="FAKEROO")
assert len(elements) == 2
assert elements[0][0] == NarrativeText("This is a test email to use for unit tests.")
def test_partition_multiple_via_api_from_files(monkeypatch):
monkeypatch.setattr(
requests,
"post",
lambda *args, **kwargs: MockMultipleResponse(status_code=200),
)
filenames = [
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake-email.eml"),
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake.docx"),
]
with contextlib.ExitStack() as stack:
files = [stack.enter_context(open(filename, "rb")) for filename in filenames]
elements = partition_multiple_via_api(
files=files,
file_filenames=filenames,
api_key="FAKEROO",
)
assert len(elements) == 2
assert elements[0][0] == NarrativeText("This is a test email to use for unit tests.")
def test_partition_multiple_via_api_raises_with_bad_response(monkeypatch):
monkeypatch.setattr(
requests,
"post",
lambda *args, **kwargs: MockMultipleResponse(status_code=500),
)
filenames = [
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake-email.eml"),
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake.docx"),
]
with pytest.raises(ValueError):
partition_multiple_via_api(filenames=filenames, api_key="FAKEROO")
def test_partition_multiple_via_api_raises_with_content_types_size_mismatch(monkeypatch):
monkeypatch.setattr(
requests,
"post",
lambda *args, **kwargs: MockMultipleResponse(status_code=500),
)
filenames = [
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake-email.eml"),
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake.docx"),
]
with pytest.raises(ValueError):
partition_multiple_via_api(
filenames=filenames,
content_types=["text/plain"],
api_key="FAKEROO",
)
def test_partition_multiple_via_api_from_files_raises_with_size_mismatch(monkeypatch):
monkeypatch.setattr(
requests,
"post",
lambda *args, **kwargs: MockMultipleResponse(status_code=200),
)
filenames = [
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake-email.eml"),
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake.docx"),
]
with contextlib.ExitStack() as stack:
files = [stack.enter_context(open(filename, "rb")) for filename in filenames]
with pytest.raises(ValueError):
partition_multiple_via_api(
files=files,
file_filenames=filenames,
content_types=["text/plain"],
api_key="FAKEROO",
)
def test_partition_multiple_via_api_from_files_raises_without_filenames(monkeypatch):
monkeypatch.setattr(
requests,
"post",
lambda *args, **kwargs: MockMultipleResponse(status_code=200),
)
filenames = [
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake-email.eml"),
os.path.join(DIRECTORY, "..", "..", "example-docs", "fake.docx"),
]
with contextlib.ExitStack() as stack:
files = [stack.enter_context(open(filename, "rb")) for filename in filenames]
with pytest.raises(ValueError):
partition_multiple_via_api(
files=files,
api_key="FAKEROO",
)

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@ -1 +1 @@
__version__ = "0.6.2" # pragma: no cover
__version__ = "0.6.3-dev0" # pragma: no cover

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@ -1,3 +1,5 @@
import contextlib
import json
from typing import (
IO,
List,
@ -81,3 +83,95 @@ def partition_via_api(
raise ValueError(
f"Receive unexpected status code {response.status_code} from the API.",
)
def partition_multiple_via_api(
filenames: Optional[List[str]] = None,
content_types: Optional[List[str]] = None,
files: Optional[List[str]] = None,
file_filenames: Optional[List[str]] = None,
strategy: str = "hi_res",
api_url: str = "https://api.unstructured.io/general/v0/general",
api_key: str = "",
) -> List[List[Element]]:
"""Partitions multiple document using the Unstructured REST API by batching
the documents into a single HTTP request.
See https://api.unstructured.io/general/docs for the hosted API documentation or
https://github.com/Unstructured-IO/unstructured-api for instructions on how to run
the API locally as a container.
Parameters
----------
filename
A list of strings defining the target filename paths.
content_types
A list of strings defining the file contents in MIME types.
files
A list of file-like object using "rb" mode --> open(filename, "rb").
file_filename
When file is not None, the filename (string) to store in element metadata. E.g. "foo.txt"
strategy
The strategy to use for partitioning the PDF. Uses a layout detection model if set
to 'hi_res', otherwise partition_pdf simply extracts the text from the document
and processes it.
api_url
The URL for the Unstructured API. Defaults to the hosted Unstructured API.
api_key
The API key to pass to the Unstructured API.
"""
headers = {
"ACCEPT": "application/json",
"UNSTRUCTURED-API-KEY": api_key,
}
data = {
"strategy": strategy,
}
if filenames is not None:
if content_types and len(content_types) != len(filenames):
raise ValueError("content_types and filenames must have the same length.")
with contextlib.ExitStack() as stack:
files = [stack.enter_context(open(f, "rb")) for f in filenames] # type: ignore
_files = []
for i, file in enumerate(files):
filename = filenames[i]
content_type = content_types[i] if content_types is not None else None
_files.append(("files", (filename, file, content_type)))
response = requests.post(
api_url,
headers=headers,
data=data,
files=_files, # type: ignore
)
elif files is not None:
if content_types and len(content_types) != len(files):
raise ValueError("content_types and files must have the same length.")
if not file_filenames:
raise ValueError("file_filenames must be specified if files are passed")
elif len(file_filenames) != len(files):
raise ValueError("file_filenames and files must have the same length.")
_files = []
for i, _file in enumerate(files): # type: ignore
content_type = content_types[i] if content_types is not None else None
filename = file_filenames[i]
_files.append(("files", (filename, _file, content_type)))
response = requests.post(api_url, headers=headers, data=data, files=_files) # type: ignore
if response.status_code == 200:
documents = []
for document in response.json():
documents.append(partition_json(text=json.dumps(document)))
return documents
else:
raise ValueError(
f"Receive unexpected status code {response.status_code} from the API.",
)