Feat/devcontainer

.devcontainer/devcontainer.json

@@ -0,0 +1,42 @@
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/python
+{
+	"name": "Python 3",
+	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
+	"image": "mcr.microsoft.com/devcontainers/python:0-3.11",
+	"features": {
+		"ghcr.io/devcontainers/features/common-utils:2": {},
+		"ghcr.io/devcontainers-contrib/features/black:2": {},
+		"ghcr.io/devcontainers-contrib/features/isort:2": {},
+		"ghcr.io/devcontainers-contrib/features/pre-commit:2": {},
+		"ghcr.io/devcontainers-contrib/features/zsh-plugins:0": {},
+		"ghcr.io/dhoeric/features/act:1": {},
+		"ghcr.io/stuartleeks/dev-container-features/shell-history:0": {},
+		"ghcr.io/guiyomh/features/vim:0": {}
+	},
+
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
+
+	// Use 'forwardPorts' to make a list of ports inside the container available locally.
+	// "forwardPorts": [],
+
+	// Use 'postCreateCommand' to run commands after the container is created.
+	// "postCreateCommand": "pip3 install --user -r requirements.txt",
+	"postCreateCommand": "./.devcontainer/postCreateCommand.sh",
+	"customizations": {
+		"vscode": {
+			"extensions": [
+				"alefragnani.Bookmarks",
+				"eamodio.gitlens",
+				"oderwat.indent-rainbow"
+			]
+		}
+	}
+
+	// Configure tool-specific properties.
+	// "customizations": {},
+
+	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
+	// "remoteUser": "root"
+}

.devcontainer/postCreateCommand.sh

@@ -0,0 +1,25 @@
+# Instala o CfitsIO (fpack e funpack) e as dependencias python
+sudo apt-get update && sudo apt-get install -y libcfitsio-bin --no-install-recommends \
+&& sudo rm -rf /var/lib/apt/lists/* \
+&& sudo apt-get purge -y \
+&& pip install --upgrade pip && pip install --user -r requirements.txt 
+
+
+# Exemplo de Instalação de pacotes: https://www.ianlewis.org/en/creating-smaller-docker-images
+# # for redis-sentinel see: http://redis.io/topics/sentinel
+# ENV REDIS_VERSION 3.0.5
+# ENV REDIS_DOWNLOAD_URL http://download.redis.io/releases/redis-3.0.5.tar.gz
+# ENV REDIS_DOWNLOAD_SHA1 ad3ee178c42bfcfd310c72bbddffbbe35db9b4a6
+# RUN buildDeps='gcc libc6-dev make' \
+#     && set -x \
+#     && apt-get update && apt-get install -y $buildDeps --no-install-recommends \
+#     && rm -rf /var/lib/apt/lists/* \
+#     && mkdir -p /usr/src/redis \
+#     && curl -sSL "$REDIS_DOWNLOAD_URL" -o redis.tar.gz \
+#     && echo "$REDIS_DOWNLOAD_SHA1 *redis.tar.gz" | sha1sum -c - \
+#     && tar -xzf redis.tar.gz -C /usr/src/redis --strip-components=1 \
+#     && rm redis.tar.gz \
+#     && make -C /usr/src/redis \
+#     && make -C /usr/src/redis install \
+#     && rm -r /usr/src/redis \
+#     && apt-get purge -y --auto-remove $buildDeps

README.md

@@ -1,4 +1,39 @@
-# cutout
+# LIneA Cutout Service 
+
+[Requisitos](docs/definicao_requisitos/Requisitos.md)
+
+Tiles do DES para teste: [Sample Tiles](https://scienceserver.linea.org.br/data/cutout_des_sample_tiles.tar.gz) 
+
+## Desenvolvimento
+
+Este repositóro está configurado com devcontainer podendo ser utilizado com vscode + extensão devcontainer.
+
+quando utilizado com devcontainer todas as dependencias e extensões já estão configuradas. 
+
+Clone do repositório
+
+```bash
+git clone https://github.com/linea-it/cutout.git
+```
+
+Acesse a pasta e abra com vscode
+
+```bash
+cd cutout && code .
+```
+
+Na primeira execução a extensão devcontainer vai perguntar se deseja fazer o build do container, aceite fazer o build ou aperte F1 e execute o comando `Rebuild and open in container` o vscode vai criar o container e abrir o repositório dentro dele. 
+
+Estando dentro do container é necessário fazer o download dos dados que serão usados para teste. 
+acesse a pasta /workspaces/cutout/tiles e execute o script `download_sample_tiles.sh`
+
+Este script vai fazer o download de algumas imagens do DES e descompactar no diretório tiles. 
+
+com as imagens baixadas e descompactadas o ambiente está pronto. 
+
+Execute o script de teste `cutout.py` na raiz do repositório `/workspaces/cutout`
+Os cutouts gerados ficam na pasta tiles.
+
 
 ---
 # Cutout
@@ -29,14 +64,17 @@ DES0224-0958.
 
 Use the __[desportal](https://desportal2.cosmology.illinois.edu/)__ to download full FITS image of tiles.
 
+[Install Funpack](https://command-not-found.com/funpack)
 Extract the *.fits.fz files to *.fits files using __[FITSIO](https://heasarc.gsfc.nasa.gov/fitsio/)__ and command:
 
 `funpack tile_name.fits.fz`
 
+`for z in *.fits.fz; do funpack "$z"; done`
+
 and store the FITS files in folder called 'tiles'.
 
 After that, run the code:
 
 `python cutout.py`
 
-The cutouts will be produced in the same folder of the project.
+The cutouts will be produced in the same folder of the tiles.

cutout.py

@@ -4,14 +4,15 @@
                            write_cutout_file,
                            cutout_verts,
                            tiles_from_cat)
+import os                        
 
 # Reading input data
 RA, DEC, size = np.loadtxt('coords.dat', usecols=(0, 1, 2), unpack=True)
 band, request = np.loadtxt(
     'coords.dat', usecols=(3, 4), dtype=str, unpack=True)
 
 # Set the path where the FITS files are stored
-path_to_fits = '/home/adriano/cutout/tiles'
+path_to_fits = 'tiles'
 
 # Calculates the cutout's vertices to access tiles
 verts = cutout_verts(RA, DEC, size)
@@ -28,7 +29,8 @@
             RA[i], DEC[i], size[i], tiles[i], band[i], path_to_fits)
         filename = '{:.5f}_{:.5f}_{}.fits'.format(
             round(RA[i], 5), round(DEC[i], 5), band[i])
-        write_cutout_file(data, wcs_, filename)
+        filepath = os.path.join(path_to_fits, filename)
+        write_cutout_file(data, wcs_, filepath)
     elif request[i] == 'PNG':
         data_g, wcs_g = get_fits_data(
             RA[i], DEC[i], size[i], tiles[i], band[i][0], path_to_fits)
@@ -38,4 +40,5 @@
             RA[i], DEC[i], size[i], tiles[i], band[i][2], path_to_fits)
         filename = '{:.5f}_{:.5f}_{}.png'.format(
             round(RA[i], 5), round(DEC[i], 5), band[i])
-        cutout_lupton(data_g, data_r, data_i, 0.05, 10, 0.5, filename)
+        filepath = os.path.join(path_to_fits, filename)            
+        cutout_lupton(data_g, data_r, data_i, 0.05, 10, 0.5, filepath)

requirements.txt

@@ -0,0 +1,14 @@
+astropy==5.2.1
+contourpy==1.0.7
+cycler==0.11.0
+fonttools==4.39.0
+kiwisolver==1.4.4
+matplotlib==3.7.1
+numpy==1.24.2
+packaging==23.0
+Pillow==9.4.0
+pyerfa==2.0.0.1
+pyparsing==3.0.9
+python-dateutil==2.8.2
+PyYAML==6.0
+six==1.16.0

tiles/.gitignore

@@ -0,0 +1 @@
+*.*

tiles/download_sample_tiles.sh

@@ -0,0 +1,7 @@
+# curl -sSL "https://scienceserver.linea.org.br/data/cutout_des_sample_tiles.tar.gz" -o cutout_des_sample_tiles.tar.gz \
+wget "https://scienceserver.linea.org.br/data/cutout_des_sample_tiles.tar.gz" -o cutout_des_sample_tiles.tar.gz \
+&& tar -xzf cutout_des_sample_tiles.tar.gz \
+&& for z in *.fits.fz; do funpack "$z"; done \
+&& rm *.fits.fz \
+&& rm cutout_des_sample_tiles.tar.gz \
+&& ls -ltr