Improve website appareance (#194)

* jupyterbook css * change div size * retire position relative * nice color for dark mode * navbar * update container * Relec ka 2711 (fin modelisation et début NLP) (#195) * mini coquilles matplotlib * relecture 5_clustering (fin de la partie modelisation!) * relecture NLP index * relecture NLP 01_intro Co-authored-by: Lino Galiana <33896139+linogaliana@users.noreply.github.com> Co-authored-by: Kim A <kim.antunez@ensae.fr> * dup label * Automated changes * Automated changes * modifie la taille du titre * Automated changes * alpha value * Automated changes * Automated changes * Automated changes * update * indent * Automated changes * Automated changes * forgot ; * Automated changes * Automated changes * oups width * Automated changes * Automated changes * harmonisze * Automated changes * Automated changes * essaie restaurer pos * Automated changes * Automated changes * custom css * Automated changes * Automated changes * crée la classe * Automated changes * Automated changes * to html first * Automated changes * Automated changes * reduce size btw p * Automated changes * Automated changes * comme ça ? * Automated changes * Automated changes * as class * Automated changes * Automated changes * retour au md * Automated changes * Automated changes * split null par défaut * Automated changes * Automated changes * improve navbar * Automated changes * Automated changes Co-authored-by: Kim A <kim.antunez@ensae.fr> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
linogaliana · Dec 12, 2021 · 4f67528 · 4f67528
1 parent 8f99cd3
commit 4f67528
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Showing 7 changed files with 511 additions and 163 deletions.
diff --git a/.Rprofile b/.Rprofile
@@ -66,7 +66,10 @@ visualize_badge <- function(notebook = "", github_link = 'https://github.com/lin
 }
 
 
-reminder_badges <- function(notebook = "", onyxia_only = FALSE, split = NULL){
+reminder_badges <- function(notebook = "", onyxia_only = FALSE, split = NULL,
+                            type = c("md", "html")){
+
+  type <- match.arg(type)
 
   if (notebook != ""){
     if (!endsWith(notebook, ".ipynb")){
@@ -85,78 +88,108 @@ reminder_badges <- function(notebook = "", onyxia_only = FALSE, split = NULL){
     nbviewer_link <- 'https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/tree/master'
   }
 
-  download_link <- sprintf(
-    "[![Download](https://img.shields.io/badge/Download-Notebook-important?logo=Jupyter)](https://downgit.github.io/#/home?url=%s%s)",
-    github_link,
-    notebook
-  )
+  if (type == "md"){
+    download_link <- sprintf(
+      "[![Download](https://img.shields.io/badge/Download-Notebook-important?logo=Jupyter)](https://downgit.github.io/#/home?url=%s%s)",
+      github_link,
+      notebook
+    )
+  } else{
+    download_link <- sprintf(
+      '<a href="https://downgit.github.io/#/home?url=%s%s" target="_blank" rel="noopener"><img src="https://img.shields.io/badge/Download-Notebook-important?logo=Jupyter" alt="Download"></a>',
+      github_link,
+      notebook
+    )
+  }
+
   github_link <- sprintf('<a href="%s%s" class="github"><i class="fab fa-github"></i></a>',
                          github_link,
                          notebook)
-  nbviewer_link <- paste0(
-    "[![nbviewer](https://img.shields.io/badge/Visualize-nbviewer-blue?logo=Jupyter)](",
-    nbviewer_link,")"
-  )
 
-  onyxia_link <- "[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false&init.personalInit=«https://raw.githubusercontent.com/linogaliana/python-datascientist/master/init_onyxia.sh»)"
-
+  if (type == "md"){
+    nbviewer_link <- paste0(
+      "[![nbviewer](https://img.shields.io/badge/Visualize-nbviewer-blue?logo=Jupyter)](",
+      nbviewer_link,")"
+    )
+  } else{
+    nbviewer_link <- sprintf(
+      '<a href="%s" target="_blank" rel="noopener"><img src="https://img.shields.io/badge/Visualize-nbviewer-blue?logo=Jupyter" alt="nbviewer"></a>',
+      nbviewer_link
+    )
+  }
+
+  if (type == "md"){
+    onyxia_link <- "[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false&init.personalInit=«https://raw.githubusercontent.com/linogaliana/python-datascientist/master/init_onyxia.sh»)"
+  } else{
+    onyxia_link <- '<a href="https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=%c2%abpython-datascientist%c2%bb&amp;resources.requests.memory=%c2%ab4Gi%c2%bb&amp;security.allowlist.enabled=false&amp;init.personalInit=%c2%abhttps://raw.githubusercontent.com/linogaliana/python-datascientist/master/init_onyxia.sh%c2%bb" target="_blank" rel="noopener"><img src="https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&amp;color=yellow?logo=Python" alt="Onyxia"></a>'
+  }
+
   if (!is.null(split) && (4 %in% split)){
     onyxia_link <- c(onyxia_link, "<br>")
   }
 
-
-  binder_link <- sprintf(
-    "[![Binder](https://img.shields.io/badge/Launch-Binder-E66581.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master%s)",
-    binder_path
-  )
+  if (type == "md"){
+    binder_link <- sprintf(
+      "[![Binder](https://img.shields.io/badge/Launch-Binder-E66581.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master%s)",
+      binder_path
+    )
+  } else{
+    binder_link <- sprintf(
+      '<a href="https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=%s" target="_blank" rel="noopener"><img src="https://img.shields.io/badge/Launch-Binder-E66581.svg?logo=data:image/png;base64,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" alt="Binder"></a>',
+      binder_path
+    )
+  }
 
   if (!is.null(split) && (5 %in% split)){
     binder_link <- c(binder_link, "<br>")
   }
 
-  colab_link <- sprintf("[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master%s)",
-                        notebook)
+  if (type == "md"){
+    colab_link <- sprintf("[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master%s)",
+                          notebook)
+  } else{
+    colab_link <- sprintf(
+      '<a href="http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master%s" target="_blank" rel="noopener"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>',
+      notebook
+    )
+  }
 
   if (!is.null(split) && (6 %in% split)){
     colab_link <- c(colab_link, "<br>")
   }
 
-  vscode_link <- sprintf("[![githubdev](https://open.vscode.dev/badges/open-in-vscode.svg)](https://github.dev/linogaliana/python-datascientist%s)",
-                         notebook)
+  if (type == "md"){
+    vscode_link <- sprintf("[![githubdev](https://open.vscode.dev/badges/open-in-vscode.svg)](https://github.dev/linogaliana/python-datascientist%s)",
+                           notebook)
+  } else{
+    vscode_link <- sprintf(
+      '<a href="https://github.dev/linogaliana/python-datascientist%s" target="_blank" rel="noopener"><img src="https://open.vscode.dev/badges/open-in-vscode.svg" alt="githubdev"></a></p>',
+      notebook)
+  }
 
-  if (isTRUE(onyxia_only)){
-    return(
-      cat(
-        c(
-          github_link,
-          download_link,
-          nbviewer_link,
-          onyxia_link,
-        ),
-        sep = "\n"
-      )
-    )
+  badges <- c(
+    github_link,
+    download_link,
+    nbviewer_link,
+    onyxia_link
+  )
+
+  if (isFALSE(onyxia_only)){
+    badges <- c(badges,
+                binder_link,
+                colab_link,
+                vscode_link)
   }
 
+  if (type == "html") badges <- c('<p class="badges">', badges, '</p>')
   return(
-    cat(
-      c(
-        github_link,
-        download_link,
-        nbviewer_link,
-        onyxia_link,
-        binder_link,
-        colab_link,
-        vscode_link
-      ),
-      sep = "\n"
-    )
+    cat(badges, sep = "\n")
   )
 
 }
 
 
-print_badges <- function(fpath = NULL, onyxia_only = FALSE, split = NULL){
+print_badges <- function(fpath = NULL, onyxia_only = FALSE, split = 4){
   if (is.null(fpath)){
     fpath <- knitr::current_input(dir = TRUE)
   }

diff --git a/.github/workflows/netlify-test.yaml b/.github/workflows/netlify-test.yaml
@@ -70,10 +70,10 @@ jobs:
           npm install --unsafe-perm=true netlify-cli -g
           netlify init
           netlify deploy --alias=${BRANCHE_REF} --dir="public" --message "Preview deploy from ${BRANCHE_REF}"
-#      - uses: actions/upload-artifact@v1
-#        with:
-#          name: content
-#          path: content/
+      - uses: actions/upload-artifact@v2
+        with:
+          name: Website
+          path: public/
       - name: Convert in ipynb with Jupytext
         run: |
          pip install jupytext