Skip to content

[formrecognizer] Adding custom forms perf test #16969

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
@@ -0,0 +1,45 @@
# Form Recognizer Performance Tests

In order to run the performance tests, the `azure-devtools` package must be installed. This is done as part of the `dev_requirements` install.
Start by creating a new virtual environment for your perf tests. This will need to be a Python 3 environment, preferably >=3.7.

### Setup for test resources

The following environment variables will need to be set for the tests to access the live resources:

```
FORMRECOGNIZER_TEST_ENDPOINT=<form recognizer service endpoint>
FORMRECOGNIZER_TEST_API_KEY=<form recognizer API Key>
FORMRECOGNIZER_TRAINING_DATA_CONTAINER_SAS_URL=<SAS url for container with training data>
```

### Setup for perf test runs

```cmd
(env) ~/azure-ai-formrecognizer> pip install -r dev_requirements.txt
(env) ~/azure-ai-formrecognizer> pip install -e .
```

## Test commands

Once `azure-devtools` is installed, you will have access to the `perfstress` command line tool, which will scan the current module for runable perf tests. Only a specific test can be run at a time (i.e. there is no "run all" feature).

```cmd
(env) ~/azure-ai-formrecognizer> cd tests/perfstress_tests/
(env) ~/azure-ai-formrecognizer/tests/perfstress_tests> perfstress
```
Using the `perfstress` command alone will list the available perf tests found.

### Common perf command line options
These options are available for all perf tests:
- `--duration=10` Number of seconds to run as many operations (the "run" function) as possible. Default is 10.
- `--iterations=1` Number of test iterations to run. Default is 1.
- `--parallel=1` Number of tests to run in parallel. Default is 1.
- `--warm-up=5` Number of seconds to spend warming up the connection before measuring begins. Default is 5.
- `--sync` Whether to run the tests in sync or async. Default is False (async). This flag must be used for Storage legacy tests, which do not support async.
- `--no-cleanup` Whether to keep newly created resources after test run. Default is False (resources will be deleted).

## Example command
```cmd
(env) ~/azure-ai-formrecognizer/tests/perfstress_tests> perfstress RecognizeCustomForms
```
Original file line number Diff line number Diff line change
@@ -0,0 +1,73 @@
# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------

import os
import pytest
import functools
from io import BytesIO
from datetime import date, time
from azure_devtools.perfstress_tests import PerfStressTest
from azure.core.credentials import AzureKeyCredential
from azure.ai.formrecognizer import FormRecognizerClient, FormContentType
from azure.ai.formrecognizer.aio import FormRecognizerClient as AsyncFormRecognizerClient, FormTrainingClient as AsyncFormTrainingClient

class RecognizeCustomForms(PerfStressTest):

def __init__(self, arguments):
super().__init__(arguments)

with open(os.path.abspath(os.path.join(os.path.abspath(__file__), "..", "./../sample_forms/forms/Form_1.jpg")), "rb") as fd:
self.custom_form_jpg = fd.read()

# read test related env vars
self.formrecognizer_storage_container_sas_url = os.environ["FORMRECOGNIZER_TRAINING_DATA_CONTAINER_SAS_URL"]
formrecognizer_test_endpoint = os.environ["FORMRECOGNIZER_TEST_ENDPOINT"]
form_recognizer_account_key = os.environ["FORMRECOGNIZER_TEST_API_KEY"]

# assign the clients that will be used in the perf tests
self.service_client = FormRecognizerClient(formrecognizer_test_endpoint, AzureKeyCredential(form_recognizer_account_key))
self.async_service_client = AsyncFormRecognizerClient(formrecognizer_test_endpoint, AzureKeyCredential(form_recognizer_account_key))

# training client will be used for model training in set up
self.async_training_client = AsyncFormTrainingClient(formrecognizer_test_endpoint, AzureKeyCredential(form_recognizer_account_key))

async def global_setup(self):
"""The global setup is run only once."""
poller = await self.async_training_client.begin_training(
self.formrecognizer_storage_container_sas_url,
use_training_labels=True,
model_name="labeled")
model = await poller.result()
self.model_id = model.model_id

async def global_cleanup(self):
"""The global cleanup is run only once."""
await self.async_training_client.delete_model(self.model_id)

async def close(self):
"""This is run after cleanup."""
await self.async_service_client.close()
self.service_client.close()
await self.async_training_client.close()
await super().close()

def run_sync(self):
"""The synchronous perf test."""
poller = self.service_client.begin_recognize_custom_forms(
self.model_id,
self.custom_form_jpg,
content_type=FormContentType.IMAGE_JPEG)
result = poller.result()
assert result

async def run_async(self):
"""The asynchronous perf test."""
poller = await self.async_service_client.begin_recognize_custom_forms(
self.model_id,
self.custom_form_jpg,
content_type=FormContentType.IMAGE_JPEG)
result = await poller.result()
assert result