├── .env.example ├── .flake8 ├── .gitignore ├── LICENSE ├── MANIFEST ├── README.md ├── docs ├── DOCS.md ├── authorize.png ├── sample_payload.json └── sample_payload.png ├── fastapi_skeleton ├── __init__.py ├── api │ ├── __init__.py │ └── routes │ │ ├── __init__.py │ │ ├── heartbeat.py │ │ ├── prediction.py │ │ └── router.py ├── core │ ├── __init__.py │ ├── config.py │ ├── event_handlers.py │ ├── messages.py │ └── security.py ├── main.py ├── models │ ├── __init__.py │ ├── heartbeat.py │ ├── payload.py │ └── prediction.py └── services │ ├── __init__.py │ └── models.py ├── poetry.lock ├── pyproject.toml ├── sample_model ├── lin_reg_california_housing_model.joblib └── model_description.md ├── scripts ├── linting.sh └── test.sh ├── setup.cfg ├── tests ├── __init__.py ├── conftest.py ├── test_api │ ├── __init__.py │ ├── test_api_auth.py │ ├── test_heartbeat.py │ └── test_prediction.py └── test_service │ ├── __init__.py │ └── test_models.py └── tox.ini /.env.example: -------------------------------------------------------------------------------- 1 | IS_DEBUG=False 2 | API_KEY=sample_api_key 3 | DEFAULT_MODEL_PATH=./sample_model/lin_reg_california_housing_model.joblib 4 | -------------------------------------------------------------------------------- /.flake8: -------------------------------------------------------------------------------- 1 | [flake8] 2 | 3 | ################### PROGRAM ################################ 4 | 5 | # Specify the number of subprocesses that Flake8 will use to run checks in parallel. 6 | jobs = auto 7 | 8 | 9 | ################### OUTPUT ################################# 10 | 11 | ########## Verbosity ########## 12 | 13 | # Increase the verbosity of Flake8’s output. 14 | verbose = 0 15 | # Decrease the verbosity of Flake8’s output. 16 | quiet = 0 17 | 18 | 19 | ########## Formatting ########## 20 | 21 | # Select the formatter used to display errors to the user. 22 | format = default 23 | 24 | # Print the total number of errors. 25 | count = True 26 | # Print the source code generating the error/warning in question. 27 | show-source = True 28 | # Count the number of occurrences of each error/warning code and print a report. 29 | statistics = True 30 | 31 | 32 | ########## Targets ########## 33 | 34 | # Redirect all output to the specified file. 35 | output-file = .flake8.log 36 | # Also print output to stdout if output-file has been configured. 37 | tee = True 38 | 39 | 40 | ################### FILE PATTERNS ########################## 41 | 42 | # Provide a comma-separated list of glob patterns to exclude from checks. 43 | exclude = 44 | # git folder 45 | .git, 46 | # python cache 47 | __pycache__, 48 | # pytest cache 49 | .pytest_cache, 50 | # mypy cache 51 | .mypy_cache 52 | # Provide a comma-separate list of glob patterns to include for checks. 53 | filename = 54 | *.py 55 | 56 | 57 | ################### LINTING ################################ 58 | 59 | ########## Environment ########## 60 | 61 | # Provide a custom list of builtin functions, objects, names, etc. 62 | builtins = 63 | 64 | 65 | ########## Options ########## 66 | 67 | # Report all errors, even if it is on the same line as a `# NOQA` comment. 68 | disable-noqa = False 69 | 70 | # Set the maximum length that any line (with some exceptions) may be. 71 | max-line-length = 88 72 | # Set the maximum allowed McCabe complexity value for a block of code. 73 | max-complexity = 10 74 | # Toggle whether pycodestyle should enforce matching the indentation of the opening bracket’s line. 75 | # incluences E131 and E133 76 | hang-closing = True 77 | 78 | 79 | ########## Rules ########## 80 | 81 | # ERROR CODES 82 | # 83 | # E/W - PEP8 errors/warnings (pycodestyle) 84 | # F - linting errors (pyflakes) 85 | # C - McCabe complexity error (mccabe) 86 | # 87 | # E133 - closing bracket is missing indentation (conflicts with black) 88 | # E203 - whitespace before ‘:’ (conflicts with black) 89 | # W503 - line break before binary operator 90 | # F401 - module imported but unused 91 | # F403 - ‘from module import *’ used; unable to detect undefined names 92 | # 93 | 94 | # Specify a list of codes to ignore. 95 | ignore = 96 | E133, 97 | E203, 98 | W503 99 | # Specify the list of error codes you wish Flake8 to report. 100 | select = 101 | E, 102 | W, 103 | F, 104 | C 105 | # Specify a list of mappings of files and the codes that should be ignored for the entirety of the 106 | # file. 107 | per-file-ignores = 108 | __init__.py:F401,F403 109 | 110 | # Enable off-by-default extensions. 111 | enable-extensions = 112 | 113 | 114 | ########## Docstring ########## 115 | 116 | # Enable PyFlakes syntax checking of doctests in docstrings. 117 | # doctests = True 118 | 119 | # Specify which files are checked by PyFlakes for doctest syntax. 120 | include-in-doctest = 121 | # Specify which files are not to be checked by PyFlakes for doctest syntax. 122 | exclude-in-doctest = -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Hidden files 2 | .DS_store 3 | 4 | # Byte-compiled / optimized / DLL files 5 | __pycache__/ 6 | *.py[cod] 7 | *$py.class 8 | 9 | # C extensions 10 | *.so 11 | 12 | # Distribution / packaging 13 | .Python 14 | env/ 15 | build/ 16 | develop-eggs/ 17 | dist/ 18 | downloads/ 19 | eggs/ 20 | .eggs/ 21 | lib/ 22 | lib64/ 23 | parts/ 24 | sdist/ 25 | var/ 26 | wheels/ 27 | *.egg-info/ 28 | .installed.cfg 29 | *.egg 30 | 31 | # PyInstaller 32 | # Usually these files are written by a python script from a template 33 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 34 | *.manifest 35 | *.spec 36 | .env 37 | 38 | # Installer logs 39 | pip-log.txt 40 | pip-delete-this-directory.txt 41 | 42 | # Unit test / coverage reports 43 | htmlcov/ 44 | htmlcov-py36/ 45 | htmlcov-py311/ 46 | .tox/ 47 | .coverage 48 | .coverage.* 49 | .cache 50 | nosetests.xml 51 | coverage.xml 52 | *.cover 53 | .hypothesis/ 54 | 55 | # Translations 56 | *.mo 57 | *.pot 58 | 59 | # Django stuff: 60 | *.log 61 | local_settings.py 62 | 63 | # Flask stuff: 64 | instance/ 65 | .webassets-cache 66 | 67 | # Scrapy stuff: 68 | .scrapy 69 | 70 | # Sphinx documentation 71 | docs/_build/ 72 | 73 | # PyBuilder 74 | target/ 75 | 76 | # Jupyter Notebook 77 | .ipynb_checkpoints 78 | 79 | # pyenv 80 | .python-version 81 | 82 | .vscode/ 83 | .pytest-cache/ 84 | .pytest_cache/ 85 | .empty/ 86 | 87 | # celery beat schedule file 88 | celerybeat-schedule 89 | 90 | # SageMath parsed files 91 | *.sage.py 92 | 93 | # dotenv 94 | .env 95 | 96 | # virtualenv 97 | .venv 98 | venv/ 99 | ENV/ 100 | 101 | # Spyder project settings 102 | .spyderproject 103 | .spyproject 104 | 105 | # Rope project settings 106 | .ropeproject 107 | 108 | # mkdocs documentation 109 | /site 110 | 111 | # mypy 112 | .mypy_cache/ 113 | .idea/ 114 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright 2020 Jan Forster 190 | 191 | -------------------------------------------------------------------------------- /MANIFEST: -------------------------------------------------------------------------------- 1 | # file GENERATED by distutils, do NOT edit 2 | setup.cfg 3 | setup.py 4 | fastapi_skeleton/__init__.py 5 | fastapi_skeleton/main.py 6 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # FastAPI Model Server Skeleton 2 | 3 | Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by [Sebastián Ramírez]([)](https://github.com/tiangolo). 4 | 5 | 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. 6 | 7 | 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. 8 | 9 | ## Requirements 10 | 11 | - Python 3.11+ 12 | - Poetry 13 | 14 | ## Installation 15 | Install the required packages in your local environment (ideally virtualenv, conda, etc.). 16 | 17 | ```bash 18 | poetry install 19 | ``` 20 | 21 | 22 | ## Setup 23 | 1. Duplicate the `.env.example` file and rename it to `.env` 24 | 25 | 26 | 2. In the `.env` file configure the `API_KEY` entry. The key is used for authenticating our API.
27 | A sample API key can be generated using Python REPL: 28 | 29 | ```python 30 | import uuid 31 | print(str(uuid.uuid4())) 32 | ``` 33 | 34 | ## Run It 35 | 36 | 1. Start your app with: 37 | 38 | ```bash 39 | set -a 40 | source .env 41 | set +a 42 | uvicorn fastapi_skeleton.main:app 43 | ``` 44 | 45 | 2. Go to [http://localhost:8000/docs](http://localhost:8000/docs). 46 | 3. Click `Authorize` and enter the API key as created in the Setup step. 47 | ![Authroization](./docs/authorize.png) 48 | 4. You can use the sample payload from the `docs/sample_payload.json` file when trying out the house price prediction model using the API. 49 | ![Prediction with example payload](./docs/sample_payload.png) 50 | 51 | ## Linting 52 | 53 | This skeleton code uses isort, mypy, flake, black, bandit for linting, formatting and static analysis. 54 | 55 | Run linting with: 56 | 57 | ```bash 58 | ./scripts/linting.sh 59 | ``` 60 | 61 | ## Run Tests 62 | 63 | Run your tests with: 64 | 65 | ```bash 66 | ./scripts/test.sh 67 | ``` 68 | 69 | This runs tests and coverage for Python 3.11 and Flake8, Autopep8, Bandit. 70 | 71 | 72 | ## Changelog 73 | 74 | v.1.0.0 - Initial release 75 | 76 | - Base functionality for using FastAPI to serve ML models. 77 | - Full test coverage 78 | 79 | v.1.1.0 - Update to Python 3.11, FastAPI 0.108.0 80 | 81 | - Updated to Python 3.11 82 | - Added linting script 83 | - Updated to pydantic 2.x 84 | - Added poetry as package manager 85 | 86 | -------------------------------------------------------------------------------- /docs/DOCS.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/docs/DOCS.md -------------------------------------------------------------------------------- /docs/authorize.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/docs/authorize.png -------------------------------------------------------------------------------- /docs/sample_payload.json: -------------------------------------------------------------------------------- 1 | { 2 | "median_income_in_block": 8.3252, 3 | "median_house_age_in_block": 41, 4 | "average_rooms": 6, 5 | "average_bedrooms": 1, 6 | "population_per_block": 322, 7 | "average_house_occupancy": 2.55, 8 | "block_latitude": 37.88, 9 | "block_longitude": -122.23 10 | } -------------------------------------------------------------------------------- /docs/sample_payload.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/docs/sample_payload.png -------------------------------------------------------------------------------- /fastapi_skeleton/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/__init__.py -------------------------------------------------------------------------------- /fastapi_skeleton/api/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/api/__init__.py -------------------------------------------------------------------------------- /fastapi_skeleton/api/routes/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/api/routes/__init__.py -------------------------------------------------------------------------------- /fastapi_skeleton/api/routes/heartbeat.py: -------------------------------------------------------------------------------- 1 | from fastapi import APIRouter 2 | 3 | from fastapi_skeleton.models.heartbeat import HearbeatResult 4 | 5 | router = APIRouter() 6 | 7 | 8 | @router.get("/heartbeat", response_model=HearbeatResult, name="heartbeat") 9 | def get_hearbeat() -> HearbeatResult: 10 | heartbeat = HearbeatResult(is_alive=True) 11 | return heartbeat 12 | -------------------------------------------------------------------------------- /fastapi_skeleton/api/routes/prediction.py: -------------------------------------------------------------------------------- 1 | from fastapi import APIRouter, Depends 2 | from starlette.requests import Request 3 | 4 | from fastapi_skeleton.core import security 5 | from fastapi_skeleton.models.payload import HousePredictionPayload 6 | from fastapi_skeleton.models.prediction import HousePredictionResult 7 | from fastapi_skeleton.services.models import HousePriceModel 8 | 9 | router = APIRouter() 10 | 11 | 12 | @router.post("/predict", response_model=HousePredictionResult, name="predict") 13 | def post_predict( 14 | request: Request, 15 | block_data: HousePredictionPayload, 16 | _: bool = Depends(security.validate_request), 17 | ) -> HousePredictionResult: 18 | model: HousePriceModel = request.app.state.model 19 | prediction: HousePredictionResult = model.predict(block_data) 20 | 21 | return prediction 22 | -------------------------------------------------------------------------------- /fastapi_skeleton/api/routes/router.py: -------------------------------------------------------------------------------- 1 | from fastapi import APIRouter 2 | 3 | from fastapi_skeleton.api.routes import heartbeat, prediction 4 | 5 | api_router = APIRouter() 6 | api_router.include_router(heartbeat.router, tags=["health"], prefix="/health") 7 | api_router.include_router(prediction.router, tags=["prediction"], prefix="/model") 8 | -------------------------------------------------------------------------------- /fastapi_skeleton/core/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/core/__init__.py -------------------------------------------------------------------------------- /fastapi_skeleton/core/config.py: -------------------------------------------------------------------------------- 1 | from starlette.config import Config 2 | from starlette.datastructures import Secret 3 | 4 | APP_VERSION = "0.0.1" 5 | APP_NAME = "House Price Prediction Example" 6 | API_PREFIX = "/api" 7 | 8 | config = Config(".env") 9 | 10 | API_KEY: Secret = config("API_KEY", cast=Secret) 11 | IS_DEBUG: bool = config("IS_DEBUG", cast=bool, default=False) 12 | 13 | DEFAULT_MODEL_PATH: str = config("DEFAULT_MODEL_PATH") 14 | -------------------------------------------------------------------------------- /fastapi_skeleton/core/event_handlers.py: -------------------------------------------------------------------------------- 1 | from typing import Callable 2 | 3 | from fastapi import FastAPI 4 | from loguru import logger 5 | 6 | from fastapi_skeleton.core.config import DEFAULT_MODEL_PATH 7 | from fastapi_skeleton.services.models import HousePriceModel 8 | 9 | 10 | def _startup_model(app: FastAPI) -> None: 11 | model_path = DEFAULT_MODEL_PATH 12 | model_instance = HousePriceModel(model_path) 13 | app.state.model = model_instance 14 | 15 | 16 | def _shutdown_model(app: FastAPI) -> None: 17 | app.state.model = None 18 | 19 | 20 | def start_app_handler(app: FastAPI) -> Callable: 21 | def startup() -> None: 22 | logger.info("Running app start handler.") 23 | _startup_model(app) 24 | 25 | return startup 26 | 27 | 28 | def stop_app_handler(app: FastAPI) -> Callable: 29 | def shutdown() -> None: 30 | logger.info("Running app shutdown handler.") 31 | _shutdown_model(app) 32 | 33 | return shutdown 34 | -------------------------------------------------------------------------------- /fastapi_skeleton/core/messages.py: -------------------------------------------------------------------------------- 1 | NO_API_KEY = "No API key provided." 2 | AUTH_REQ = "Authentication required." 3 | HTTP_500_DETAIL = "Internal server error." 4 | 5 | # templates 6 | NO_VALID_PAYLOAD = "{} is not a valid payload." 7 | -------------------------------------------------------------------------------- /fastapi_skeleton/core/security.py: -------------------------------------------------------------------------------- 1 | import secrets 2 | from typing import Optional 3 | 4 | from fastapi import HTTPException, Security 5 | from fastapi.security.api_key import APIKeyHeader 6 | from starlette.status import HTTP_400_BAD_REQUEST, HTTP_401_UNAUTHORIZED 7 | 8 | from fastapi_skeleton.core import config 9 | from fastapi_skeleton.core.messages import AUTH_REQ, NO_API_KEY 10 | 11 | api_key = APIKeyHeader(name="token", auto_error=False) 12 | 13 | 14 | def validate_request(header: Optional[str] = Security(api_key)) -> bool: 15 | if header is None: 16 | raise HTTPException( 17 | status_code=HTTP_400_BAD_REQUEST, detail=NO_API_KEY, headers={} 18 | ) 19 | if not secrets.compare_digest(header, str(config.API_KEY)): 20 | raise HTTPException( 21 | status_code=HTTP_401_UNAUTHORIZED, detail=AUTH_REQ, headers={} 22 | ) 23 | return True 24 | -------------------------------------------------------------------------------- /fastapi_skeleton/main.py: -------------------------------------------------------------------------------- 1 | from fastapi import FastAPI 2 | 3 | from fastapi_skeleton.api.routes.router import api_router 4 | from fastapi_skeleton.core.config import API_PREFIX, APP_NAME, APP_VERSION, IS_DEBUG 5 | from fastapi_skeleton.core.event_handlers import start_app_handler, stop_app_handler 6 | 7 | 8 | def get_app() -> FastAPI: 9 | fast_app = FastAPI(title=APP_NAME, version=APP_VERSION, debug=IS_DEBUG) 10 | fast_app.include_router(api_router, prefix=API_PREFIX) 11 | 12 | fast_app.add_event_handler("startup", start_app_handler(fast_app)) 13 | fast_app.add_event_handler("shutdown", stop_app_handler(fast_app)) 14 | 15 | return fast_app 16 | 17 | 18 | app = get_app() 19 | -------------------------------------------------------------------------------- /fastapi_skeleton/models/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/models/__init__.py -------------------------------------------------------------------------------- /fastapi_skeleton/models/heartbeat.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel 2 | 3 | 4 | class HearbeatResult(BaseModel): 5 | is_alive: bool 6 | -------------------------------------------------------------------------------- /fastapi_skeleton/models/payload.py: -------------------------------------------------------------------------------- 1 | from typing import List 2 | 3 | from pydantic import BaseModel 4 | 5 | 6 | class HousePredictionPayload(BaseModel): 7 | median_income_in_block: float 8 | median_house_age_in_block: int 9 | average_rooms: int 10 | average_bedrooms: int 11 | population_per_block: int 12 | average_house_occupancy: int 13 | block_latitude: float 14 | block_longitude: float 15 | 16 | 17 | def payload_to_list(hpp: HousePredictionPayload) -> List: 18 | return [ 19 | hpp.median_income_in_block, 20 | hpp.median_house_age_in_block, 21 | hpp.average_rooms, 22 | hpp.average_bedrooms, 23 | hpp.population_per_block, 24 | hpp.average_house_occupancy, 25 | hpp.block_latitude, 26 | hpp.block_longitude, 27 | ] 28 | -------------------------------------------------------------------------------- /fastapi_skeleton/models/prediction.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel 2 | 3 | 4 | class HousePredictionResult(BaseModel): 5 | median_house_value: int 6 | currency: str = "USD" 7 | -------------------------------------------------------------------------------- /fastapi_skeleton/services/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/services/__init__.py -------------------------------------------------------------------------------- /fastapi_skeleton/services/models.py: -------------------------------------------------------------------------------- 1 | import joblib 2 | import numpy as np 3 | from loguru import logger 4 | 5 | from fastapi_skeleton.core.messages import NO_VALID_PAYLOAD 6 | from fastapi_skeleton.models.payload import HousePredictionPayload, payload_to_list 7 | from fastapi_skeleton.models.prediction import HousePredictionResult 8 | 9 | 10 | class HousePriceModel: 11 | RESULT_UNIT_FACTOR = 100 12 | 13 | def __init__(self, path: str) -> None: 14 | self.path = path 15 | self._load_local_model() 16 | 17 | def _load_local_model(self) -> None: 18 | self.model = joblib.load(self.path) 19 | 20 | def _pre_process(self, payload: HousePredictionPayload) -> np.ndarray: 21 | logger.debug("Pre-processing payload.") 22 | result = np.asarray(payload_to_list(payload)).reshape(1, -1) 23 | return result 24 | 25 | def _post_process(self, prediction: np.ndarray) -> HousePredictionResult: 26 | logger.debug("Post-processing prediction.") 27 | result = prediction.tolist() 28 | human_readable_unit = result[0] * self.RESULT_UNIT_FACTOR 29 | hpp = HousePredictionResult(median_house_value=int(human_readable_unit)) 30 | return hpp 31 | 32 | def _predict(self, features: np.ndarray) -> np.ndarray: 33 | logger.debug("Predicting.") 34 | prediction_result = self.model.predict(features) 35 | return prediction_result 36 | 37 | def predict(self, payload: HousePredictionPayload) -> HousePredictionResult: 38 | pre_processed_payload = self._pre_process(payload) 39 | prediction = self._predict(pre_processed_payload) 40 | logger.info(prediction) 41 | post_processed_result = self._post_process(prediction) 42 | 43 | return post_processed_result 44 | 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"sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"}, 1214 | {file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"}, 1215 | ] 1216 | 1217 | [package.extras] 1218 | dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"] 1219 | 1220 | [metadata] 1221 | lock-version = "2.0" 1222 | python-versions = "^3.11" 1223 | content-hash = "f34a29a0e11cf1cb8f96b167feb6292a9d74825d1c55d16c749f655cfaa5d70e" 1224 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "fastapi-skeleton" 3 | version = "1.1.0" 4 | description = "FastAPI Skeleton App to serve machine learning models production-ready." 5 | authors = ["eightBEC"] 6 | license = "Apache License 2.0" 7 | readme = "README.md" 8 | 9 | [tool.poetry.dependencies] 10 | python = "^3.11" 11 | requests = "^2.31.0" 12 | uvicorn = "^0.25.0" 13 | fastapi = "^0.109.1" 14 | numpy = "^1.26.2" 15 | joblib = "^1.3.2" 16 | loguru = "^0.7.2" 17 | pydantic = "^2.5.3" 18 | scikit-learn = "^1.3.2" 19 | 20 | [tool.poetry.group.dev.dependencies] 21 | isort = "^5.13.2" 22 | mypy = "^1.8.0" 23 | black = "^24.3.0" 24 | flake8 = "^6.1.0" 25 | bandit = "^1.7.6" 26 | pytest = "^7.4.3" 27 | httpx = "^0.26.0" 28 | pytest-cov = "^4.1.0" 29 | 30 | 31 | [tool.black] 32 | line-length = 88 33 | target-version = ['py311'] 34 | include = '\.pyi?$' 35 | extend-exclude = ''' 36 | /( 37 | \.toml 38 | |\.sh 39 | |\.yaml 40 | |\.yml 41 | |\.git 42 | |\.ini 43 | |Dockerfile 44 | |Jenkinfile 45 | )/ 46 | ''' 47 | 48 | [tool.pytest.ini_options] 49 | testpaths = ['tests'] 50 | 51 | [tool.coverage.run] 52 | source = ['fastapi_skeleton'] 53 | branch = true 54 | 55 | [tool.coverage.report] 56 | fail_under = 90 57 | precision = 2 58 | 59 | [tool.mypy] 60 | python_version = "3.11" 61 | warn_return_any = false 62 | warn_unused_configs = true 63 | disallow_untyped_defs = true 64 | ignore_missing_imports = true 65 | 66 | 67 | [build-system] 68 | requires = ["poetry-core"] 69 | build-backend = "poetry.core.masonry.api" 70 | -------------------------------------------------------------------------------- /sample_model/lin_reg_california_housing_model.joblib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/sample_model/lin_reg_california_housing_model.joblib -------------------------------------------------------------------------------- /sample_model/model_description.md: -------------------------------------------------------------------------------- 1 | ## Model Description 2 | 3 | ### California Housing Prices 4 | 5 | #### Model Features (as defined in original data set from the StatLib repo. http://lib.stat.cmu.edu/datasets/ [1]) 6 | - MedInc median income in block* 7 | - HouseAge median house age in block* 8 | - AveRooms average number of rooms 9 | - AveBedrms average number of bedrooms 10 | - Population block population 11 | - AveOccup average house occupancy 12 | - Latitude house block latitude 13 | - Longitude house block longitude 14 | 15 | *A block group is the smallest geographical unit for which the U.S. Census Bureau publishes sample data (300 - 6.000 people) [2] 16 | 17 | #### Target variable 18 | - Median house value for California districts 19 | 20 | ### References 21 | [1] Pace, R. Kelley and Ronald Barry, Sparse Spatial Autoregressions, Statistics and Probability Letters, 33 (1997) 291-297
22 | [2] https://scikit-learn.org/stable/datasets/index.html#california-housing-dataset -------------------------------------------------------------------------------- /scripts/linting.sh: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env bash 2 | 3 | set -xe 4 | 5 | isort . 6 | 7 | mypy --install-types --non-interactive fastapi_skeleton/ 8 | 9 | mypy fastapi_skeleton 10 | 11 | black fastapi_skeleton --line-length 88 12 | 13 | flake8 fastapi_skeleton 14 | 15 | bandit -r fastapi_skeleton/ 16 | -------------------------------------------------------------------------------- /scripts/test.sh: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env bash 2 | 3 | set -xe 4 | 5 | pytest -vv --cov=fastapi_skeleton --cov=tests --cov-report=term-missing --cov-report=xml tests/ ${@} 6 | -------------------------------------------------------------------------------- /setup.cfg: -------------------------------------------------------------------------------- 1 | [tool:pytest] 2 | testpaths = tests 3 | 4 | [coverage:run] 5 | source = app 6 | branch = True 7 | 8 | [coverage:report] 9 | precision = 2 10 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/tests/__init__.py -------------------------------------------------------------------------------- /tests/conftest.py: -------------------------------------------------------------------------------- 1 | 2 | 3 | import pytest 4 | from starlette.config import environ 5 | from starlette.testclient import TestClient 6 | 7 | environ["API_KEY"] = "a1279d26-63ac-41f1-8266-4ef3702ad7cb" 8 | environ["DEFAULT_MODEL_PATH"] = "./sample_model/lin_reg_california_housing_model.joblib" 9 | 10 | from fastapi_skeleton.main import get_app # noqa: E402 11 | 12 | 13 | @pytest.fixture() 14 | def test_client(): 15 | app = get_app() 16 | with TestClient(app) as test_client: 17 | yield test_client 18 | -------------------------------------------------------------------------------- /tests/test_api/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/tests/test_api/__init__.py -------------------------------------------------------------------------------- /tests/test_api/test_api_auth.py: -------------------------------------------------------------------------------- 1 | 2 | 3 | from fastapi_skeleton.core import messages 4 | 5 | 6 | def test_auth_using_prediction_api_no_apikey_header(test_client) -> None: 7 | response = test_client.post('/api/model/predict') 8 | assert response.status_code == 400 9 | assert response.json() == {"detail": messages.NO_API_KEY} 10 | 11 | 12 | def test_auth_using_prediction_api_wrong_apikey_header(test_client) -> None: 13 | response = test_client.post( 14 | '/api/model/predict', 15 | json={"image": "test"}, 16 | headers={"token": "WRONG_TOKEN"} 17 | ) 18 | assert response.status_code == 401 19 | assert response.json() == {"detail": messages.AUTH_REQ} 20 | -------------------------------------------------------------------------------- /tests/test_api/test_heartbeat.py: -------------------------------------------------------------------------------- 1 | 2 | 3 | from fastapi_skeleton.main import get_app 4 | 5 | app = get_app() 6 | 7 | 8 | def test_heartbeat(test_client) -> None: 9 | response = test_client.get('/api/health/heartbeat') 10 | assert response.status_code == 200 11 | assert response.json() == {"is_alive": True} 12 | 13 | 14 | def test_default_route(test_client) -> None: 15 | response = test_client.get('/') 16 | assert response.status_code == 404 17 | -------------------------------------------------------------------------------- /tests/test_api/test_prediction.py: -------------------------------------------------------------------------------- 1 | from fastapi_skeleton.core import config 2 | 3 | 4 | def test_prediction(test_client) -> None: 5 | response = test_client.post( 6 | "/api/model/predict", 7 | json={ 8 | "median_income_in_block": 8.3252, 9 | "median_house_age_in_block": 41, 10 | "average_rooms": 6, 11 | "average_bedrooms": 1, 12 | "population_per_block": 322, 13 | "average_house_occupancy": 2, 14 | "block_latitude": 37.88, 15 | "block_longitude": -122.23, 16 | }, 17 | headers={"token": str(config.API_KEY)}, 18 | ) 19 | assert response.status_code == 200 20 | assert "median_house_value" in response.json() 21 | assert "currency" in response.json() 22 | 23 | 24 | def test_prediction_nopayload(test_client) -> None: 25 | response = test_client.post( 26 | "/api/model/predict", json={}, headers={"token": str(config.API_KEY)} 27 | ) 28 | assert response.status_code == 422 29 | -------------------------------------------------------------------------------- /tests/test_service/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/tests/test_service/__init__.py -------------------------------------------------------------------------------- /tests/test_service/test_models.py: -------------------------------------------------------------------------------- 1 | import pytest 2 | 3 | from fastapi_skeleton.core import config 4 | from fastapi_skeleton.models.payload import HousePredictionPayload 5 | from fastapi_skeleton.models.prediction import HousePredictionResult 6 | from fastapi_skeleton.services.models import HousePriceModel 7 | 8 | 9 | def test_prediction(test_client) -> None: 10 | model_path = config.DEFAULT_MODEL_PATH 11 | hpp = HousePredictionPayload.model_validate( 12 | { 13 | "median_income_in_block": 8.3252, 14 | "median_house_age_in_block": 41, 15 | "average_rooms": 6, 16 | "average_bedrooms": 1, 17 | "population_per_block": 322, 18 | "average_house_occupancy": 2, 19 | "block_latitude": 37.88, 20 | "block_longitude": -122.23, 21 | } 22 | ) 23 | 24 | hpm = HousePriceModel(model_path) 25 | result = hpm.predict(hpp) 26 | assert isinstance(result, HousePredictionResult) 27 | -------------------------------------------------------------------------------- /tox.ini: -------------------------------------------------------------------------------- 1 | [tox] 2 | envlist = flake8,py36,autopep8,bandit 3 | 4 | [testenv] 5 | deps = 6 | coverage 7 | pytest 8 | pytest-cov 9 | pycodestyle>=2.0 10 | commands = 11 | coverage erase 12 | pip install -r {toxinidir}/requirements.txt 13 | pytest --cov=tests --cov=fastapi_skeleton --cov-report=term-missing --cov-config=setup.cfg 14 | coverage report 15 | coverage html -d htmlcov-{envname} 16 | 17 | [testenv:autopep8] 18 | basepython = python3 19 | skip_install = true 20 | deps = 21 | autopep8>=1.5 22 | commands = 23 | autopep8 --in-place --aggressive -r fastapi_skeleton/ 24 | 25 | 26 | [testenv:flake8] 27 | basepython = python3 28 | skip_install = true 29 | deps = 30 | flake8 31 | flake8-bugbear 32 | flake8-colors 33 | # flake8-docstrings>=1.3.1 34 | # flake8-import-order>=0.9 35 | flake8-typing-imports>=1.1 36 | pep8-naming 37 | commands = 38 | flake8 fastapi_skeleton/ tests/ setup.py 39 | 40 | [testenv:bandit] 41 | basepython = python3 42 | deps = 43 | bandit 44 | commands = 45 | bandit -r fastapi_skeleton/ 46 | 47 | [flake8] 48 | exclude = 49 | .tox, 50 | .git, 51 | __pycache__, 52 | docs/source/conf.py, 53 | build, 54 | dist, 55 | tests/fixtures/*, 56 | *.pyc, 57 | *.egg-info, 58 | .cache, 59 | .eggs 60 | max-complexity = 10 61 | import-order-style = google 62 | application-import-names = flake8 63 | max-line-length = 90 64 | ignore = B008 --------------------------------------------------------------------------------