FastAPI Skeleton App to serve machine learning models production-ready.

Last update: Jan 1, 2023

Related tags

Overview

FastAPI Model Server Skeleton

Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by Sebastián Ramírez](https://github.com/tiangolo).

This repository contains a skeleton app which can be used to speed-up your next machine learning project. The code is fully tested and provides a preconfigured tox to quickly expand this sample code.

To experiment and get a feeling on how to use this skeleton, a sample regression model for house price prediction is included in this project. Follow the installation and setup instructions to run the sample model and serve it aso RESTful API.

Requirements

Python 3.6+

Installation

Install the required packages in your local environment (ideally virtualenv, conda, etc.).

pip install -r requirements

Setup

Duplicate the .env.example file and rename it to .env
In the .env file configure the API_KEY entry. The key is used for authenticating our API.
A sample API key can be generated using Python REPL:

import uuid
print(str(uuid.uuid4()))

Run It

Start your app with:

uvicorn fastapi_skeleton.main:app

Go to http://localhost:8000/docs.
Click Authorize and enter the API key as created in the Setup step.
You can use the sample payload from the docs/sample_payload.json file when trying out the house price prediction model using the API.

Run Tests

If you're not using tox, please install with:

pip install tox

Run your tests with:

tox

This runs tests and coverage for Python 3.6 and Flake8, Autopep8, Bandit.

Comments

📝 Updated link in README to not display '['

It appeared the link was meant to be the github user and not the repo itself. I'm not sure the formatting you wanted, but I'm proposing fixing what I thought was a typo.

Cheers, I like your skeleton 🎉; thanks for sharing ☺

opened by iancleary 0
Bump uvicorn from 0.11.2 to 0.11.7
Bumps uvicorn from 0.11.2 to 0.11.7.

Release notes

Sourced from uvicorn's releases.

Version 0.11.7

0.11.7

SECURITY FIX: Prevent sending invalid HTTP header names and values.

SECURITY FIX: Ensure path value is escaped before logging to the console.

Version 0.11.6

Fix overriding the root logger.

Version 0.11.5

Revert "Watch all files, not just .py" due to unexpected side effects.

Revert "Pass through gunicorn timeout config." due to unexpected side effects.

Version 0.11.4

Use watchgod, if installed, for watching code changes.

Reload application when any files in watched directories change, not just .py files.

Changelog

Sourced from uvicorn's changelog.

0.11.7

SECURITY FIX: Prevent sending invalid HTTP header names and values.

SECURITY FIX: Ensure path value is escaped before logging to the console.

0.11.6

Fix overriding the root logger.

0.11.5

Revert "Watch all files, not just .py" due to unexpected side effects.

Revert "Pass through gunicorn timeout config." due to unexpected side effects.

0.11.4

Use watchgod, if installed, for watching code changes.

Watch all files, not just .py.

Pass through gunicorn timeout config.

0.11.3

Update dependencies.

Commits

178bee6 Version 0.11.7 (#726)

a796e1d Corrected --proxy-headers client ip/host when using a unix socket (#636)

895807f Quote path component before logging (#724)

789e2f1 Disallow invalid header characters (#725)

81f2136 Brings back windows testing to CI (#685)

f623916 Release version 0.11.6 (#705)

6757386 Removing iocp mentions from documentation (#692)

77468df Add --app-dir option for running uvicorn from any location (#619)

9b92925 Document default backlog setting (#682)

2dcbb13 Fix typo. (#676)

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dependencies
opened by dependabot[bot] 0
Bump joblib from 0.14.1 to 1.2.0
Bumps joblib from 0.14.1 to 1.2.0.

Changelog

Sourced from joblib's changelog.

Release 1.2.0

Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

Vendor loky 3.3.0 which fixes several bugs including:

robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

avoiding leaking worker processes in case of nested loky parallel calls;

reliability spawn the correct number of reusable workers.

Release 1.1.0

Fix byte order inconsistency issue during deserialization using joblib.load in cross-endian environment: the numpy arrays are now always loaded to use the system byte order, independently of the byte order of the system that serialized the pickle. joblib/joblib#1181

Fix joblib.Memory bug with the ignore parameter when the cached function is a decorated function.

... (truncated)

Commits

5991350 Release 1.2.0

3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)

cea26ff CI test the future loky-3.3.0 branch (#1338)

8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)

067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)

ac4ebd5 MAINT add back pytest warnings plugin (#1337)

a23427d Test child raises parent exits cleanly more reliable on macos (#1335)

ac09691 [MAINT] various test updates (#1334)

4a314b1 Vendor loky 3.2.0 (#1333)

bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...

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dependencies
opened by dependabot[bot] 0
Bump numpy from 1.18.1 to 1.22.0
Bumps numpy from 1.18.1 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.

A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.

NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.

New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.

A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release

fd66547 REL: Prepare for the NumPy 1.22.0 release.

125304b wip

c283859 Merge pull request #20682 from charris/backport-20416

5399c03 Merge pull request #20681 from charris/backport-20954

f9c45f8 Merge pull request #20680 from charris/backport-20663

794b36f Update armccompiler.py

d93b14e Update test_public_api.py

7662c07 Update init.py

311ab52 Update armccompiler.py

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dependencies
opened by dependabot[bot] 0
Bump fastapi from 0.48.0 to 0.65.2
Bumps fastapi from 0.48.0 to 0.65.2.

Release notes

Sourced from fastapi's releases.

0.65.2

Security fixes

🔒 Check Content-Type request header before assuming JSON. Initial PR #2118 by @patrickkwang.

This change fixes a CSRF security vulnerability when using cookies for authentication in path operations with JSON payloads sent by browsers.

In versions lower than 0.65.2, FastAPI would try to read the request payload as JSON even if the content-type header sent was not set to application/json or a compatible JSON media type (e.g. application/geo+json).

So, a request with a content type of text/plain containing JSON data would be accepted and the JSON data would be extracted.

But requests with content type text/plain are exempt from CORS preflights, for being considered Simple requests. So, the browser would execute them right away including cookies, and the text content could be a JSON string that would be parsed and accepted by the FastAPI application.

See CVE-2021-32677 for more details.

Thanks to Dima Boger for the security report! 🙇🔒

Internal

🔧 Update sponsors badge, course bundle. PR #3340 by @tiangolo.

🔧 Add new gold sponsor Jina 🎉. PR #3291 by @tiangolo.

🔧 Add new banner sponsor badge for FastAPI courses bundle. PR #3288 by @tiangolo.

👷 Upgrade Issue Manager GitHub Action. PR #3236 by @tiangolo.

0.65.1

Security fixes

📌 Upgrade pydantic pin, to handle security vulnerability CVE-2021-29510. PR #3213 by @tiangolo.

0.65.0

Breaking Changes - Upgrade

⬆️ Upgrade Starlette to 0.14.2, including internal UJSONResponse migrated from Starlette. This includes several bug fixes and features from Starlette. PR #2335 by @hanneskuettner.

Translations

🌐 Initialize new language Polish for translations. PR #3170 by @neternefer.

Internal

👷 Add GitHub Action cache to speed up CI installs. PR #3204 by @tiangolo.

⬆️ Upgrade setup-python GitHub Action to v2. PR #3203 by @tiangolo.

🐛 Fix docs script to generate a new translation language with overrides boilerplate. PR #3202 by @tiangolo.

✨ Add new Deta banner badge with new sponsorship tier 🙇. PR #3194 by @tiangolo.

👥 Update FastAPI People. PR #3189 by @github-actions[bot].

🔊 Update FastAPI People to allow better debugging. PR #3188 by @tiangolo.

0.64.0

Features

... (truncated)

Commits

4d91f97 🔖 Release version 0.65.2

aabe2c7 📝 Update release notes

377234a 🔒 Create Security Policy

38b7858 📝 Update release notes

fa7e3c9 🐛 Check Content-Type request header before assuming JSON (#2118)

90120dd 📝 Update release notes

3677254 🔧 Update sponsors badge, course bundle (#3340)

40bb0c5 📝 Update release notes

60918d2 🔧 Add new gold sponsor Jina 🎉 (#3291)

3afce2c 📝 Update release notes

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dependencies
opened by dependabot[bot] 0
Sharing model among worker process

It is a question rather than an issue. I have gone over your code to see if there is a solution to share the model (nlp, prediction etc..) among worker processes to prevent load model for every worker and utilize async definition (which is another subject/problem) but could not see a solution. Is there something you can advice or apply in this skeleton?

Thanks.
question

opened by mehmetilker 5

Owner

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FastAPI Skeleton App to serve machine learning models production-ready.

Related tags

Overview

FastAPI Model Server Skeleton

Requirements

Installation

Setup

Run It

Run Tests

Comments

📝 Updated link in README to not display '['

Bump uvicorn from 0.11.2 to 0.11.7

Version 0.11.7

0.11.7

Version 0.11.6

Version 0.11.5

Version 0.11.4

0.11.7

0.11.6

0.11.5

0.11.4

0.11.3

Bump joblib from 0.14.1 to 1.2.0

Release 1.2.0

Release 1.1.0

Bump numpy from 1.18.1 to 1.22.0

v1.22.0

NumPy 1.22.0 Release Notes

Expired deprecations

Deprecated numeric style dtype strings have been removed

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

Bump fastapi from 0.48.0 to 0.65.2

0.65.2

Security fixes

Internal

0.65.1

Security fixes

0.65.0

Breaking Changes - Upgrade

Translations

Internal

0.64.0

Features

Sharing model among worker process