Simplify badges generation (#130)

A shortfunction to automatically print badges for exercises when needed Almost solved #117. Problem with relative link in https://linogaliana-teaching.netlify.app/course/listetp/ * print badhes * Automated changes * rm utterance tempor * Automated changes * modif debut * Automated changes * ajoute badge * Automated changes * ajoute badges * modif badge * modif badges * Automated changes * include badges * Automated changes * eval TRUE badges * Automated changes * retour version light * Automated changes * update badges * ajoute option * modif liens * Automated changes Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
linogaliana · Sep 2, 2021 · 2e4d586 · 2e4d586
1 parent bf5ebc5
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Showing 28 changed files with 187 additions and 103 deletions.
diff --git a/.Rprofile b/.Rprofile
@@ -26,9 +26,13 @@ badge <- function(type = "onyxia"){
 }
 
 
+
 reminder_badges <- function(notebook = ""){
 
   if (notebook != ""){
+    if (!endsWith(notebook, ".ipynb")){
+      notebook <- paste0(notebook, ".ipynb")
+    }
     github_link <- 'https://github.com/linogaliana/python-datascientist/blob/master'
     binder_path <- paste0("?filepath=",notebook)
     notebook <- paste0('/', notebook)
@@ -49,7 +53,7 @@ reminder_badges <- function(notebook = ""){
     "[![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](",
     nbviewer_link,")"
   )
-  onyxia_link <- "[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)"
+  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=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB)"
   binder_link <- sprintf(
     "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master%s)",
     binder_path
@@ -73,6 +77,25 @@ reminder_badges <- function(notebook = ""){
 }
 
 
+print_badges <- function(fpath = NULL){
+  if (is.null(fpath)){
+    fpath <- knitr::current_input(dir = TRUE)
+  }
+  fpath <- gsub(paste0(here::here(),"/./"), "", fpath)
+  fpath <- gsub("Rmd", "ipynb", fpath)
+  fpath <- gsub("content","notebooks",fpath)
+  reminder_badges(fpath)
+}
+
+github_link <- function(fpath = NULL){
+  if (is.null(fpath)){
+    fpath <- knitr::current_input(dir = TRUE)
+  }
+  fpath <- gsub(paste0(here::here(),"/./"), "", fpath)
+  fpath <- gsub("Rmd", "ipynb", fpath)
+  fpath <- gsub("content","notebooks",fpath)
+  return(fpath)
+}
 
 
 reminder_box <- function(boxtype = "warning", type = c("html","markdown")){

diff --git a/build/build_light.R b/build/build_light.R
@@ -1,7 +1,7 @@
-content_rmd <-  list.files("./content", recursive = TRUE, pattern = "*.Rmd", full.names = TRUE)
+content_rmd <- list.files("./content", recursive = TRUE, pattern = "*.Rmd", full.names = TRUE)
 content_rmd <- content_rmd[!grepl("/git/", content_rmd)]
 content_rmd <- content_rmd[!grepl("06a_exo_supp_webscraping.", content_rmd)]
-content_rmd <- content_rmd[6]
+content_rmd <- content_rmd[5]
 
 file.remove(
   gsub(

diff --git a/config/_default/params.toml b/config/_default/params.toml
@@ -140,7 +140,7 @@ plugins_js  = ["custom"]
   #   "": Disabled
   #   "disqus": Disqus (https://disqus.com)
   #   "commento": Commento (https://commento.io)
-  provider = "utterances"
+  provider = ""
 
   # Which page types are commentable?
   commentable = {book = true}

diff --git a/content/course/NLP/01_intro.Rmd b/content/course/NLP/01_intro.Rmd
@@ -59,6 +59,10 @@ knitr::knit_hooks$set(
 
 ```
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 
 
 {{% panel status="warning" title="Warning" icon="fa fa-exclamation-triangle" %}}

diff --git a/content/course/NLP/02_exoclean.Rmd b/content/course/NLP/02_exoclean.Rmd
@@ -59,6 +59,10 @@ knitr::knit_hooks$set(
 
 ```
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 
 
 Cette page approfondit certains aspects présentés dans la

diff --git a/content/course/NLP/03_lda.Rmd b/content/course/NLP/03_lda.Rmd
@@ -60,6 +60,10 @@ knitr::knit_hooks$set(
 
 ```
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 
 
 

diff --git a/content/course/NLP/04_word2vec.Rmd b/content/course/NLP/04_word2vec.Rmd
@@ -61,6 +61,10 @@ knitr::knit_hooks$set(
 
 ```
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 
 Cette page approfondit certains aspects présentés dans la
 [partie introductive](#nlp). Après avoir travaillé sur le

diff --git a/content/course/NLP/05_exo_supp.Rmd b/content/course/NLP/05_exo_supp.Rmd
@@ -58,6 +58,10 @@ knitr::knit_hooks$set(
 
 ```
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 Cette page approfondit certains aspects présentés dans les autres tutoriels. Il s'agit d'une suite d'exercice, avec corrections, pour présenter d'autres aspects du NLP ou pratiquer sur des données différentes
 
 
@@ -277,4 +281,4 @@ x
 
 Un exercice à venir sur l'analyse des discours des présidents américains 
 inspiré de https://github.com/BuzzFeedNews/2018-01-trump-state-of-the-union
----->
+---->
diff --git a/content/course/listeTP/_index.Rmd b/content/course/listeTP/_index.Rmd
@@ -0,0 +1,60 @@
+---
+title: "Travaux dirigés"
+date: 2020-09-10T13:00:00Z
+draft: false
+weight: 80
+icon: pencil-alt
+icon_pack: fas
+#linktitle: "Partie 4: Natural Language Processing (NLP)"
+summary: |
+  Une liste des TD sous format notebook
+type: book
+---
+
+La liste des travaux dirigés, sous forme d'exercices approfondis, peut être
+trouvée ci-dessous. A chaque fois, la première ligne rappelle l'objet du TP 
+(et renvoie vers la page web dédiée),
+et la seconde propose un certain nombre de boutons permettant de visualiser
+ou exécuter ces notebooks dans un environnement
+temporaire (voir [ici](#configuration)).
+
+Séance 1:
+
+* [Des rappels généraux sur les objets en python](#rappels2A)
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges("content/course/getting-started/05_rappels_types.Rmd")
+```
+
+* [Des rappels sur les fonctions en python](#rappelsfonctions)
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges("content/course/getting-started/06_rappels_fonctions.Rmd")
+```
+
+
+* [Un TD (optionnel) sur les classes en python](#rappelsclasses)
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges("content/course/getting-started/07_rappels_classes.Rmd")
+```
+
+* [Une découverte de numpy](#numpy)
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges("content/course/manipulation/01_numpy.Rmd")
+```
+
+
+Séance 2:
+
+* [Découverte de pandas par l'exemple](#pandasTP)
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges("content/course/manipulation/02b_pandas_TP.Rmd")
+```
+
+
+Séance 3: 
+
+* [Découverte de geopandas par l'exemple](#geopandasTP)
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges("content/course/manipulation/02b_geopandas_TP.Rmd")
+```
+
+Séance 4: **TO BE UPDATED**
diff --git a/content/course/listeTP/_index.md b/content/course/listeTP/_index.md
diff --git a/content/course/manipulation/01_numpy.Rmd b/content/course/manipulation/01_numpy.Rmd
@@ -28,12 +28,11 @@ summary: |
   d'aller plus loin.
 ---
 
-<!---- reminder_badges("content/manipulation/01_tp_numpy.ipynb") --->
-<a href="https://github.com/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb" class="github"><i class="fab fa-github"></i></a>
-[![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb)
-[![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=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB)
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/manipulation/01_tp_numpy.ipynb)
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb)
+
+
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
 
 ```{r setup, include=FALSE}  
 library(knitr)  
@@ -42,6 +41,7 @@ knitr::knit_engines$set(python = reticulate::eng_python)
 ```
 
 
+
 Il est recommandé de régulièrement se référer à
 la [cheatsheet numpy](https://www.datacamp.com/community/blog/python-numpy-cheat-sheet) et à la
 [doc officielle](https://numpy.org/doc/stable/) en cas de doute
@@ -576,4 +576,4 @@ M = np.array([[0, 0, 0, 0, 1],
               [0, 1, 0.5, 0, 0],
               [0, 0, 0.5, 1, 0]])
 v = pagerank(M, 100, 0.85)
-```
+```
diff --git a/content/course/manipulation/02a_pandas_tutorial.Rmd b/content/course/manipulation/02a_pandas_tutorial.Rmd
@@ -32,13 +32,6 @@ summary: |
   (PostgresQL, Dask, Spark...).
 ---
 
-Pour visualiser le [TP associé à ce tutoriel](pandasTP) : 
-<!---- reminder_badges("content/manipulation/02_pandas_tp.ipynb") --->
-<a href="https://github.com/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/02_pandas_tp.ipynb" class="github"><i class="fab fa-github"></i></a>
-[![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/02_pandas_tp.ipynb)
-[![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=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB)
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/manipulation/notebooks/02_pandas_tp.ipynb)
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/02_pandas_tp.ipynb)
 
 ```{r setup, include=FALSE}
 dir_path <- gsub(here::here(), "..", here::here("course","manipulation"))
@@ -70,6 +63,14 @@ knitr::knit_hooks$set(
 
 ```
 
+Pour essayer les exemples présents dans ce tutoriel : 
+
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
+Le [chapitre suivant](#pandasTP) permettra de pratiquer plus amplement les
+concepts
 
 Dans ce tutoriel `pandas`, nous allons utiliser:
 

diff --git a/content/course/manipulation/02b_pandas_TP.Rmd b/content/course/manipulation/02b_pandas_TP.Rmd
@@ -36,6 +36,12 @@ knitr::knit_engines$set(python = reticulate::eng_python)
 knitr::opts_chunk$set(echo = FALSE)
 ```
 
+Les exemples de ce TP sont visualisables sous forme de notebooks:
+
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 
 Dans ce tutoriel `pandas`, nous allons utiliser deux sources de données :
 

diff --git a/content/course/manipulation/03_geopandas_TP.Rmd b/content/course/manipulation/03_geopandas_TP.Rmd
@@ -35,6 +35,10 @@ knitr::knit_engines$set(python = reticulate::eng_python)
 knitr::opts_chunk$set(eval = FALSE, include = FALSE, echo = FALSE)
 ```
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 
 ```{python, echo = TRUE}
 import geopandas as gpd

diff --git a/content/course/manipulation/03_geopandas_tutorial.Rmd b/content/course/manipulation/03_geopandas_tutorial.Rmd
@@ -60,7 +60,9 @@ knitr::knit_hooks$set(
 
 ```
 
-
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
 
 Dans ce tutoriel, nous allons utiliser:
 

diff --git a/content/course/manipulation/04a_webscraping_TP.Rmd b/content/course/manipulation/04a_webscraping_TP.Rmd
@@ -35,6 +35,9 @@ knitr::knit_engines$set(python = reticulate::eng_python)
 knitr::opts_chunk$set(eval = FALSE)
 ```
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
 
 Sous ce nom se cache une pratique très utile pour toute personne souhaitant travailler sur des informations disponibles en ligne, mais n'existant pas forcément sous la forme d'un tableau *Excel*... Bref, il s'agit de récupérer des informations depuis *Internet*.
 

diff --git a/content/course/manipulation/04b_regex_TP.Rmd b/content/course/manipulation/04b_regex_TP.Rmd
@@ -28,6 +28,10 @@ summary: |
   notamment pour les tâches de traitement naturel du langage (NLP)
 ---
 
+```{r, echo = FALSE, results = 'asis', include = TRUE, eval = TRUE}
+print_badges()
+```
+
 
 Chercher un mot dans un texte est une tâche facile, c'est l'objectif de la méthode find attachée aux chaînes de caractères, elle suffit encore lorsqu'on cherche un mot au pluriel ou au singulier mais il faut l'appeler au moins deux fois pour chercher ces deux formes.