lean project

Dockerfile-local

@@ -1,24 +0,0 @@
-FROM python:3.9
-
-ENV MLFLOW_EXPERIMENT_NAME=$MLFLOW_EXPERIMENT_NAME
-ENV MLFLOW_TRACKING_URI=$MLFLOW_TRACKING_URI
-ENV AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID
-ENV AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY
-ENV BACKEND_STORE_URI=$BACKEND_STORE_URI
-ENV ARTIFACT_ROOT=$ARTIFACT_ROOT
-
-ENV SPACE_URL=$SPACE_URL
-
-RUN useradd -m -u 1000 user
-USER user
-ENV PATH="/home/user/.local/bin:$PATH"
-
-WORKDIR /app
-
-COPY --chown=user ./requirements.txt requirements.txt
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
-
-COPY --chown=user . /app
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
-
-#CMD ["bash","-lc","fastapi run app.py --host 0.0.0.0 --port ${PORT}"]

build.sh

@@ -1,7 +0,0 @@
-#!/bin/bash
-
-set -e
-echo 'Build docker image for Get Around API.'
-source env.sh
-echo $IMAGE_ID
-docker build -f Dockerfile-local -t $IMAGE_ID --no-cache .

env.sh

@@ -1,24 +0,0 @@
-#!/bin/bash
-
-
-export MLFLOW_EXPERIMENT_NAME= 
-
-export MLFLOW_TRACKING_URI=
-
-export BACKEND_STORE_URI=
-
-export SPACE_URL = "https://pradelf-getaround-api.hf.space"
-
-export ARTIFACT_ROOT=
-
-export APP_NAME="getaround-api"
-
-export REPOSITORY_TAG_URI="$APP_NAME"
-
-export TAG="0.0.1"
-
-export TAGNAME="certification"
-
-export IMAGE_APP_ID="$REPOSITORY_TAG_URI:$TAGNAME"
-
-export $(grep -v '^#' .env | xargs -d '\n')

run.sh

@@ -1,10 +0,0 @@
-docker run -it \
--v "$(pwd):/home/app" \
--p 7860:7860 \
--e PORT=7860 \
--e MLFLOW_TRACKING_URI=$MLFLOW_TRACKING_URI \
--e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
--e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
--e BACKEND_STORE_URI=$BACKEND_STORE_URI \
--e ARTIFACT_ROOT=$ARTIFACT_ROOT \
-api

secrets.sh

@@ -1,4 +0,0 @@
-export MLFLOW_EXPERIMENT_NAME="salary_estimator";
-export MLFLOW_TRACKING_URI="MLFLOW_TRACKING_URI";
-export BACKEND_STORE_URI="BACKEND_STORE_URI";
-export ARTIFACT_ROOT="ARTIFACT_ROOT";

test/test.py

@@ -1,10 +0,0 @@
-import requests
-payload = {
-  "title": "This is my great blog title",
-   "content": "This is the body of my article",
-   "Author": "Jaskier"
-}
-r = requests.post("http://localhost:7860/predict", json={
-  "YearsExperience": 0
-})
-print(r.content)