├── .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:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/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 | 
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 | 
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 |
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/docs/DOCS.md:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/docs/DOCS.md
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/docs/authorize.png:
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/docs/sample_payload.json:
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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 | }
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/docs/sample_payload.png:
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/fastapi_skeleton/__init__.py:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/__init__.py
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/fastapi_skeleton/api/__init__.py:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/api/__init__.py
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/fastapi_skeleton/api/routes/__init__.py:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/api/routes/__init__.py
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/fastapi_skeleton/api/routes/heartbeat.py:
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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 |
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/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 |
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/fastapi_skeleton/core/__init__.py:
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/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 |
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/fastapi_skeleton/core/security.py:
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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 |
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/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 |
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/fastapi_skeleton/models/__init__.py:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/fastapi_skeleton/models/__init__.py
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/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 |
--------------------------------------------------------------------------------
/poetry.lock:
--------------------------------------------------------------------------------
1 | # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
2 |
3 | [[package]]
4 | name = "annotated-types"
5 | version = "0.6.0"
6 | description = "Reusable constraint types to use with typing.Annotated"
7 | optional = false
8 | python-versions = ">=3.8"
9 | files = [
10 | {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
11 | {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
12 | ]
13 |
14 | [[package]]
15 | name = "anyio"
16 | version = "4.2.0"
17 | description = "High level compatibility layer for multiple asynchronous event loop implementations"
18 | optional = false
19 | python-versions = ">=3.8"
20 | files = [
21 | {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
22 | {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
23 | ]
24 |
25 | [package.dependencies]
26 | idna = ">=2.8"
27 | sniffio = ">=1.1"
28 |
29 | [package.extras]
30 | doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
31 | test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
32 | trio = ["trio (>=0.23)"]
33 |
34 | [[package]]
35 | name = "bandit"
36 | version = "1.7.6"
37 | description = "Security oriented static analyser for python code."
38 | optional = false
39 | python-versions = ">=3.8"
40 | files = [
41 | {file = "bandit-1.7.6-py3-none-any.whl", hash = "sha256:36da17c67fc87579a5d20c323c8d0b1643a890a2b93f00b3d1229966624694ff"},
42 | {file = "bandit-1.7.6.tar.gz", hash = "sha256:72ce7bc9741374d96fb2f1c9a8960829885f1243ffde743de70a19cee353e8f3"},
43 | ]
44 |
45 | [package.dependencies]
46 | colorama = {version = ">=0.3.9", markers = "platform_system == \"Windows\""}
47 | GitPython = ">=3.1.30"
48 | PyYAML = ">=5.3.1"
49 | rich = "*"
50 | stevedore = ">=1.20.0"
51 |
52 | [package.extras]
53 | test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "pylint (==1.9.4)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "tomli (>=1.1.0)"]
54 | toml = ["tomli (>=1.1.0)"]
55 | yaml = ["PyYAML"]
56 |
57 | [[package]]
58 | name = "black"
59 | version = "24.3.0"
60 | description = "The uncompromising code formatter."
61 | optional = false
62 | python-versions = ">=3.8"
63 | files = [
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86 | ]
87 |
88 | [package.dependencies]
89 | click = ">=8.0.0"
90 | mypy-extensions = ">=0.4.3"
91 | packaging = ">=22.0"
92 | pathspec = ">=0.9.0"
93 | platformdirs = ">=2"
94 |
95 | [package.extras]
96 | colorama = ["colorama (>=0.4.3)"]
97 | d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
98 | jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
99 | uvloop = ["uvloop (>=0.15.2)"]
100 |
101 | [[package]]
102 | name = "certifi"
103 | version = "2023.11.17"
104 | description = "Python package for providing Mozilla's CA Bundle."
105 | optional = false
106 | python-versions = ">=3.6"
107 | files = [
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110 | ]
111 |
112 | [[package]]
113 | name = "charset-normalizer"
114 | version = "3.3.2"
115 | description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
116 | optional = false
117 | python-versions = ">=3.7.0"
118 | files = [
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210 |
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213 | version = "8.1.7"
214 | description = "Composable command line interface toolkit"
215 | optional = false
216 | python-versions = ">=3.7"
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221 |
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224 |
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226 | name = "colorama"
227 | version = "0.4.6"
228 | description = "Cross-platform colored terminal text."
229 | optional = false
230 | python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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239 | description = "Code coverage measurement for Python"
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296 |
297 | [package.extras]
298 | toml = ["tomli"]
299 |
300 | [[package]]
301 | name = "fastapi"
302 | version = "0.109.1"
303 | description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
304 | optional = false
305 | python-versions = ">=3.8"
306 | files = [
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310 |
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313 | starlette = ">=0.35.0,<0.36.0"
314 | typing-extensions = ">=4.8.0"
315 |
316 | [package.extras]
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318 |
319 | [[package]]
320 | name = "flake8"
321 | version = "6.1.0"
322 | description = "the modular source code checker: pep8 pyflakes and co"
323 | optional = false
324 | python-versions = ">=3.8.1"
325 | files = [
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329 |
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332 | pycodestyle = ">=2.11.0,<2.12.0"
333 | pyflakes = ">=3.1.0,<3.2.0"
334 |
335 | [[package]]
336 | name = "gitdb"
337 | version = "4.0.11"
338 | description = "Git Object Database"
339 | optional = false
340 | python-versions = ">=3.7"
341 | files = [
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345 |
346 | [package.dependencies]
347 | smmap = ">=3.0.1,<6"
348 |
349 | [[package]]
350 | name = "gitpython"
351 | version = "3.1.40"
352 | description = "GitPython is a Python library used to interact with Git repositories"
353 | optional = false
354 | python-versions = ">=3.7"
355 | files = [
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359 |
360 | [package.dependencies]
361 | gitdb = ">=4.0.1,<5"
362 |
363 | [package.extras]
364 | test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
365 |
366 | [[package]]
367 | name = "h11"
368 | version = "0.14.0"
369 | description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
370 | optional = false
371 | python-versions = ">=3.7"
372 | files = [
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376 |
377 | [[package]]
378 | name = "httpcore"
379 | version = "1.0.2"
380 | description = "A minimal low-level HTTP client."
381 | optional = false
382 | python-versions = ">=3.8"
383 | files = [
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387 |
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389 | certifi = "*"
390 | h11 = ">=0.13,<0.15"
391 |
392 | [package.extras]
393 | asyncio = ["anyio (>=4.0,<5.0)"]
394 | http2 = ["h2 (>=3,<5)"]
395 | socks = ["socksio (==1.*)"]
396 | trio = ["trio (>=0.22.0,<0.23.0)"]
397 |
398 | [[package]]
399 | name = "httpx"
400 | version = "0.26.0"
401 | description = "The next generation HTTP client."
402 | optional = false
403 | python-versions = ">=3.8"
404 | files = [
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408 |
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410 | anyio = "*"
411 | certifi = "*"
412 | httpcore = "==1.*"
413 | idna = "*"
414 | sniffio = "*"
415 |
416 | [package.extras]
417 | brotli = ["brotli", "brotlicffi"]
418 | cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
419 | http2 = ["h2 (>=3,<5)"]
420 | socks = ["socksio (==1.*)"]
421 |
422 | [[package]]
423 | name = "idna"
424 | version = "3.7"
425 | description = "Internationalized Domain Names in Applications (IDNA)"
426 | optional = false
427 | python-versions = ">=3.5"
428 | files = [
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432 |
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435 | version = "2.0.0"
436 | description = "brain-dead simple config-ini parsing"
437 | optional = false
438 | python-versions = ">=3.7"
439 | files = [
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443 |
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446 | version = "5.13.2"
447 | description = "A Python utility / library to sort Python imports."
448 | optional = false
449 | python-versions = ">=3.8.0"
450 | files = [
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454 |
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456 | colors = ["colorama (>=0.4.6)"]
457 |
458 | [[package]]
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460 | version = "1.3.2"
461 | description = "Lightweight pipelining with Python functions"
462 | optional = false
463 | python-versions = ">=3.7"
464 | files = [
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468 |
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471 | version = "0.7.2"
472 | description = "Python logging made (stupidly) simple"
473 | optional = false
474 | python-versions = ">=3.5"
475 | files = [
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479 |
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482 | win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
483 |
484 | [package.extras]
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486 |
487 | [[package]]
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489 | version = "3.0.0"
490 | description = "Python port of markdown-it. Markdown parsing, done right!"
491 | optional = false
492 | python-versions = ">=3.8"
493 | files = [
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497 |
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500 |
501 | [package.extras]
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503 | code-style = ["pre-commit (>=3.0,<4.0)"]
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506 | plugins = ["mdit-py-plugins"]
507 | profiling = ["gprof2dot"]
508 | rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
509 | testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
510 |
511 | [[package]]
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513 | version = "0.7.0"
514 | description = "McCabe checker, plugin for flake8"
515 | optional = false
516 | python-versions = ">=3.6"
517 | files = [
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524 | version = "0.1.2"
525 | description = "Markdown URL utilities"
526 | optional = false
527 | python-versions = ">=3.7"
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535 | version = "1.8.0"
536 | description = "Optional static typing for Python"
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538 | python-versions = ">=3.8"
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1047 | threadpoolctl = ">=2.0.0"
1048 |
1049 | [package.extras]
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1054 |
1055 | [[package]]
1056 | name = "scipy"
1057 | version = "1.11.4"
1058 | description = "Fundamental algorithms for scientific computing in Python"
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1088 |
1089 | [package.dependencies]
1090 | numpy = ">=1.21.6,<1.28.0"
1091 |
1092 | [package.extras]
1093 | dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
1094 | doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
1095 | test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
1096 |
1097 | [[package]]
1098 | name = "smmap"
1099 | version = "5.0.1"
1100 | description = "A pure Python implementation of a sliding window memory map manager"
1101 | optional = false
1102 | python-versions = ">=3.7"
1103 | files = [
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1106 | ]
1107 |
1108 | [[package]]
1109 | name = "sniffio"
1110 | version = "1.3.0"
1111 | description = "Sniff out which async library your code is running under"
1112 | optional = false
1113 | python-versions = ">=3.7"
1114 | files = [
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1117 | ]
1118 |
1119 | [[package]]
1120 | name = "starlette"
1121 | version = "0.35.1"
1122 | description = "The little ASGI library that shines."
1123 | optional = false
1124 | python-versions = ">=3.8"
1125 | files = [
1126 | {file = "starlette-0.35.1-py3-none-any.whl", hash = "sha256:50bbbda9baa098e361f398fda0928062abbaf1f54f4fadcbe17c092a01eb9a25"},
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1128 | ]
1129 |
1130 | [package.dependencies]
1131 | anyio = ">=3.4.0,<5"
1132 |
1133 | [package.extras]
1134 | full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
1135 |
1136 | [[package]]
1137 | name = "stevedore"
1138 | version = "5.1.0"
1139 | description = "Manage dynamic plugins for Python applications"
1140 | optional = false
1141 | python-versions = ">=3.8"
1142 | files = [
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1145 | ]
1146 |
1147 | [package.dependencies]
1148 | pbr = ">=2.0.0,<2.1.0 || >2.1.0"
1149 |
1150 | [[package]]
1151 | name = "threadpoolctl"
1152 | version = "3.2.0"
1153 | description = "threadpoolctl"
1154 | optional = false
1155 | python-versions = ">=3.8"
1156 | files = [
1157 | {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
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1159 | ]
1160 |
1161 | [[package]]
1162 | name = "typing-extensions"
1163 | version = "4.9.0"
1164 | description = "Backported and Experimental Type Hints for Python 3.8+"
1165 | optional = false
1166 | python-versions = ">=3.8"
1167 | files = [
1168 | {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
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1170 | ]
1171 |
1172 | [[package]]
1173 | name = "urllib3"
1174 | version = "2.1.0"
1175 | description = "HTTP library with thread-safe connection pooling, file post, and more."
1176 | optional = false
1177 | python-versions = ">=3.8"
1178 | files = [
1179 | {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
1180 | {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
1181 | ]
1182 |
1183 | [package.extras]
1184 | brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
1185 | socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
1186 | zstd = ["zstandard (>=0.18.0)"]
1187 |
1188 | [[package]]
1189 | name = "uvicorn"
1190 | version = "0.25.0"
1191 | description = "The lightning-fast ASGI server."
1192 | optional = false
1193 | python-versions = ">=3.8"
1194 | files = [
1195 | {file = "uvicorn-0.25.0-py3-none-any.whl", hash = "sha256:ce107f5d9bd02b4636001a77a4e74aab5e1e2b146868ebbad565237145af444c"},
1196 | {file = "uvicorn-0.25.0.tar.gz", hash = "sha256:6dddbad1d7ee0f5140aba5ec138ddc9612c5109399903828b4874c9937f009c2"},
1197 | ]
1198 |
1199 | [package.dependencies]
1200 | click = ">=7.0"
1201 | h11 = ">=0.8"
1202 |
1203 | [package.extras]
1204 | standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
1205 |
1206 | [[package]]
1207 | name = "win32-setctime"
1208 | version = "1.1.0"
1209 | description = "A small Python utility to set file creation time on Windows"
1210 | optional = false
1211 | python-versions = ">=3.5"
1212 | files = [
1213 | {file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "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 |
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/sample_model/lin_reg_california_housing_model.joblib:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/sample_model/lin_reg_california_housing_model.joblib
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/sample_model/model_description.md:
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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
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/scripts/linting.sh:
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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 |
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/scripts/test.sh:
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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 |
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/setup.cfg:
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1 | [tool:pytest]
2 | testpaths = tests
3 |
4 | [coverage:run]
5 | source = app
6 | branch = True
7 |
8 | [coverage:report]
9 | precision = 2
10 |
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/tests/__init__.py:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/tests/__init__.py
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/tests/conftest.py:
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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 |
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/tests/test_api/__init__.py:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/tests/test_api/__init__.py
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/tests/test_api/test_api_auth.py:
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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 |
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/tests/test_api/test_heartbeat.py:
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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 |
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/tests/test_api/test_prediction.py:
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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 |
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/tests/test_service/__init__.py:
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https://raw.githubusercontent.com/eightBEC/fastapi-ml-skeleton/b7e21d8304b11201ea045c59c200d30ba40c96fa/tests/test_service/__init__.py
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/tests/test_service/test_models.py:
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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 |
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/tox.ini:
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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
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