Services firt gen

bdd/Dockerfiles/app/Dockerfile

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+FROM python:3.7
+
+RUN mkdir /code
+WORKDIR /code
+
+ADD entrypoint.sh /code/entrypoint.sh
+ADD requirements.txt /code/requirements.txt
+ADD app/ /code
+
+RUN ls
+#RUN pip install -r requirements.txt --no-cache-dir
+#RUN apt-get install apt-transport-https
+RUN apt update -y
+RUN apt install python3-pip -y
+
+#RUN pip3 install --default-timeout=100  -r requirements.txt
+
+EXPOSE 50000
+ENV FLASK_APP "/code/app.py"
+CMD ["/code/entrypoint.sh"]
+

bdd/Dockerfiles/app/app/app.py

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+# app/__init__.py
+
+from flask import Flask
+import pandas as pd
+import pysqlite3 as sql
+
+
+def create_app():
+	app = Flask(__name__)
+	with sql.connect("/Datasets/database/database.db") as con:
+		data=pd.read_csv("/Datasets/database/questions.csv",delimiter=",")
+		data.to_sql('questions',con,if_exists='replace',index=False)
+
+	@app.route('/question/<int:id>',methods=['GET'])
+	def get_question(id=1):
+		with sql.connect("/Datasets/database/database.db") as con:
+			cur = con.cursor()
+			row = cur.execute("select * from questions where id=\'"+str(id)+"\';")
+		return(row.fetchone()[2])
+
+	return app

bdd/Dockerfiles/app/entrypoint.sh

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+#!/bin/sh
+
+sleep 5
+
+pip3 install -U Flask
+pip3 install Flask-RESTful
+pip3 install pysqlite3
+pip3 install pandas
+
+flask run --host=0.0.0.0 --port=50011
+

bdd/Dockerfiles/app/requirements.txt

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+Flask==1.1.1

bdd/Dockerfiles/docker_run.sh

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+#!/bin/sh
+
+docker build -t db_image Dockerfiles/app
+docker run -it --network="host" -v /home/user/Bureau/Datasets:/Datasets  db_image:latest

bdd/command_line.sh

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+Dockerfiles/docker_run.sh
+

grid-generation/Dockerfiles/app/Dockerfile

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+FROM python:3.7
+
+RUN mkdir /code
+WORKDIR /code
+
+ADD entrypoint.sh /code/entrypoint.sh
+ADD requirements.txt /code/requirements.txt
+ADD app/ /code
+
+RUN ls
+#RUN pip install -r requirements.txt --no-cache-dir
+#RUN apt-get install apt-transport-https
+RUN apt update -y
+RUN apt install python3-pip -y
+
+#RUN pip3 install --default-timeout=100  -r requirements.txt
+
+EXPOSE 50000
+ENV FLASK_APP "/code/app.py"
+CMD ["/code/entrypoint.sh"]
+

grid-generation/Dockerfiles/app/app/app.py

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+# app/__init__.py
+
+from flask import Flask
+
+def create_app():
+    app = Flask(__name__)
+
+    @app.route('/')
+    def create():
+        import grid_generation;
+        return grid_generation.create_grid()
+
+    return app

grid-generation/Dockerfiles/app/app/grid_generation.py

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+"""GRID GENERATION"""
+import string
+import random
+import os
+import cv2
+
+# Get the images in the directory
+# Donner en nb_img un carre parfait
+def read_image(dirPath, nb_img, nb_col):
+    list = []
+    list_id = []
+    list_path = random.sample(os.listdir(dirPath), nb_img)
+    for path in list_path:
+        img = cv2.imread(dirPath + path)
+        list.append(img)
+        list_id.append(path)
+    return to_matrix(list, nb_col), list_id
+
+# Transform a list into a matrix with n columns
+def to_matrix(l, n):
+    return [l[i:i+n] for i in iter(range(0, len(l), n))]
+
+# Gather all images
+def concat_vh(list_2d):
+    # return final image
+    return cv2.vconcat([cv2.hconcat(list_h) for list_h in list_2d])
+
+def create_grid():
+    path_image =  "/Datasets/img_align_celeba/img_align_celeba/" # Path to volume
+    filename = ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(8))
+    path_grid = '/Datasets/grids/'+ filename + ".png"
+    list_img, list_id = read_image(path_image, 25, 5)
+    img = cv2.imwrite(path_grid, concat_vh(list_img))
+    return filename;

grid-generation/Dockerfiles/app/entrypoint.sh

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+#!/bin/sh
+
+sleep 5
+
+pip3 install -U Flask
+pip3 install Flask-RESTful
+pip3 install opencv-python
+pip3 install opencv-contrib-python
+pip3 install opencv-python-headless
+pip3 install opencv-contrib-python-headless
+
+flask run --host=0.0.0.0 --port=50001
+

grid-generation/Dockerfiles/app/requirements.txt

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+Flask==1.1.1

grid-generation/Dockerfiles/docker_run.sh

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+#!/bin/sh
+
+docker build -t grid_image Dockerfiles/app
+docker run -it --network="host" -v /home/user/Bureau/Datasets:/Datasets  grid_image:latest

grid-generation/command_line.sh

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+Dockerfiles/docker_run.sh
+

main/Dockerfiles/app/App

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+Subproject commit 6b18b1d67ba1bbce134c827e983974a2ac9430dd

main/Dockerfiles/app/Dockerfile

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+FROM python:3.7
+
+RUN mkdir /code
+WORKDIR /code
+
+ADD entrypoint.sh /code/entrypoint.sh
+ADD requirements.txt /code/requirements.txt
+ADD App/app/ /code
+
+RUN ls
+#RUN pip install -r requirements.txt --no-cache-dir
+#RUN apt-get install apt-transport-https
+RUN apt update -y
+RUN apt install python3-pip -y
+
+#RUN pip3 install --default-timeout=100  -r requirements.txt
+
+EXPOSE 50000
+ENV FLASK_APP "/code/app.py"
+CMD ["/code/entrypoint.sh"]
+

main/Dockerfiles/app/entrypoint.sh

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+#!/bin/sh
+
+sleep 5
+
+pip3 install -U Flask
+pip3 install -U Flask-Bootstrap
+pip3 install Flask-RESTful
+pip3 install opencv-python
+pip3 install opencv-contrib-python
+pip3 install opencv-python-headless
+pip3 install opencv-contrib-python-headless
+pip3 install requests
+pip3 install shutil
+
+flask run --host=0.0.0.0 --port=50000
+

main/Dockerfiles/app/requirements.txt

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+Flask==1.1.1

main/Dockerfiles/docker_run.sh

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+#!/bin/sh
+
+docker build -t main_image Dockerfiles/app
+docker run -it --network="host" -v /home/user/Bureau/Datasets:/Datasets  main_image:latest

main/command_line.sh

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+Dockerfiles/docker_run.sh
+

update/Dockerfiles/app/Dockerfile

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+FROM python:3.7
+
+RUN mkdir /code
+WORKDIR /code
+
+ADD entrypoint.sh /code/entrypoint.sh
+ADD requirements.txt /code/requirements.txt
+ADD app/ /code
+
+RUN ls
+#RUN pip install -r requirements.txt --no-cache-dir
+#RUN apt-get install apt-transport-https
+RUN apt update -y
+RUN apt install python3-pip -y
+
+#RUN pip3 install --default-timeout=100  -r requirements.txt
+
+EXPOSE 50002
+ENV FLASK_APP "/code/app.py"
+CMD ["/code/entrypoint.sh"]
+

update/Dockerfiles/app/app/app.py

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+# app/__init__.py
+
+from flask import Flask
+
+def create_app():
+    app = Flask(__name__)
+
+    @app.route('/<string:id>')
+    def create(id):
+        import update_grid;
+        path = "/Datasets/grids/"# PATH TO VOLUME
+        # TO DO
+        # GET COORDINATES x and y
+        x = 0.3
+        y = 0.5
+        nb_img = 24
+        update_grid.hide_image(path+id+".png", path+id+".png", x,y)
+        return str(nb_img)
+
+    return app

update/Dockerfiles/app/app/update_grid.py

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+""" UPDATE GRID """
+import cv2
+import os
+
+# Path image : chemin vers la grille d'images de célébrités
+# Output image : chemin vers la grille avec l'image cachée
+# x,y : coordonées (x,y) de la sortie yolo (qui correspond au centre de l'image)
+
+def hide_image(path_img, output_img, x, y):
+  img = cv2.imread(path_img)
+  x1 = int((x-0.1)*890)
+  y1 = int((y-0.1)*1090)
+  x2 = int((x+0.1)*890)
+  y2 = int((y+0.1)*1090)
+  cv2.rectangle(img, ( x1 , y1), ( x2, y2), (255, 255, 255), -1)
+  cv2.imwrite(output_img, img)

update/Dockerfiles/app/entrypoint.sh

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+#!/bin/sh
+
+sleep 5
+
+pip3 install -U Flask
+pip3 install Flask-RESTful
+pip3 install opencv-python
+pip3 install opencv-contrib-python
+pip3 install opencv-python-headless
+pip3 install opencv-contrib-python-headless
+
+flask run --host=0.0.0.0 --port=50002
+

update/Dockerfiles/app/requirements.txt

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+Flask==1.1.1

update/Dockerfiles/docker_run.sh

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+#!/bin/sh
+
+docker build -t image_test Dockerfiles/app
+docker run -it --network="host" -v /home/user/Bureau/Datasets:/Datasets image_test:latest

update/command_line.sh

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+Dockerfiles/docker_run.sh
+