CSS for ipynb (#337)

* test * env * warning * Automated changes * Automated changes * header * Automated changes * Automated changes * header * Automated changes * Automated changes * pencil * Automated changes * Automated changes Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
linogaliana · Dec 26, 2022 · 129b001 · 129b001
1 parent 1fe65ac
commit 129b001
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diff --git a/build/pimp_notebook.py b/build/pimp_notebook.py
@@ -12,6 +12,94 @@ def transform_note_reference(re_find, content_note=False):
     return note_html
 
 
+def replace_pattern(
+        string, pattern,
+        rules_general,
+        rules_specific,
+        box_type = "warning",
+        put_in_pattern = True
+    ):
+    rules = rules_general + [rules_specific[box_type]]
+    rules_inline = " ".join(rules)
+    empty=""
+    if put_in_pattern is True:
+        pattern_find = pattern.format(box_type, empty)
+        pattern_repl = pattern.format(box_type, f' style="{rules_inline}"')
+    else:
+        pattern_find = pattern.format(empty)        
+        pattern_repl = pattern.format(f' style="{rules_inline}"')
+    return re.sub(pattern_find, pattern_repl, string)
+
+def box_for_jupyter(tweak_md, btype):
+    rules_general_box = [
+            'color: rgba(0,0,0,.8);',
+            'background-color: white;',
+            'margin-top: 1em;',
+            'margin-bottom: 1em;',
+            'margin:1.5625emauto;',
+            'padding:0 .6rem .8rem!important;overflow:hidden;',
+            'page-break-inside:avoid;',
+            'border-radius:.25rem;',
+            'box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .05rem rgba(0,0,0,.1);',
+            'transition:color .25s,background-color .25s,border-color .25s ;',
+            'border-right: 1px solid #dee2e6 ;',
+            'border-top: 1px solid #dee2e6 ;',
+            'border-bottom: 1px solid #dee2e6 ;'
+    ]
+    rules_specific_box = {
+        "danger": "border-left: .2rem solid #ff0039;",
+        "warning": "border-left:.2rem solid #ffc10780;",
+        "info": "border-left:.2rem solid #007bff80;",
+        "success": "border-left:.2rem solid #3fb618;"
+    }
+    rules_general_heading = [
+        "margin-bottom: 15px !important;",
+        "margin-top: 0rem;",
+        "font-weight:600;",
+        "font-size: 1.1rem;",
+        "padding-top: .2em;",
+        "padding-bottom: .2em;"
+    ]
+    rules_specific_heading = {
+        "danger": "background-color: #dc3545;",
+        "warning": "background-color: #fff6dd;",
+        "info": "background-color: #e7f2fa;",
+        "success": "background-color: #ecf8e8;"
+    }
+
+    pattern_box = r'<div class="alert alert-{}" role="alert"{}>'
+    pattern_heading = '<h3 class="alert-heading"{}>'
+    old_icons = {
+        "warning": "fa fa-lightbulb-o",
+        "success": "fa fa-pencil",
+        "info": "fa fa-comment",
+        "danger": "fa fa-exclamation-triangle"
+        }
+    new_icons = {
+        "warning": "fa-solid fa-lightbulb",
+        "success": "fa-solid fa-pencil",
+        "info": "fa-solid fa-comment",
+        "danger": "fa-solid fa-triangle-exclamation"
+        }
+
+    tweak_md2 = replace_pattern(
+        tweak_md,
+        pattern=pattern_box,
+        rules_general=rules_general_box,
+        rules_specific=rules_specific_box,
+        box_type=btype)
+    #tweak_md2 = replace_pattern(
+    #    tweak_md2, pattern=pattern_heading,
+    #    rules_general=rules_general_heading,
+    #    rules_specific=rules_specific_heading,
+    #    put_in_pattern=False,
+    #    box_type=btype)
+    tweak_md2 = re.sub(
+        new_icons[btype], old_icons[btype],
+        tweak_md2
+        )
+    return tweak_md2
+
 def change_box_markdown(fl):
     content = read_file(fl)
     content = re.sub(r"(“|”)",'"',content)
@@ -30,6 +118,12 @@ def change_box_markdown(fl):
     tweak_md = [corresp_boxes[re.search('status=\"(.*?)\"',l).group(1)] if l.startswith("{{% box") else l for l in list_rows]
     tweak_md = ["```{=html}\n</div>\n```\n:::" if l.startswith("{{% /box") else l for l in tweak_md]
     tweak_md = "\n".join(tweak_md)
+    # FORCE CSS INSIDE DEFINITION 
+    tweak_md = box_for_jupyter(tweak_md, "warning")
+    tweak_md = box_for_jupyter(tweak_md, "info")
+    tweak_md = box_for_jupyter(tweak_md, "success")
+    tweak_md = box_for_jupyter(tweak_md, "danger")
+
     # FOOTNOTES
     p = re.compile("\[\^[0-9]+\]:")
     list_match = list(p.finditer(tweak_md))

diff --git a/content/course/modelisation/0_preprocessing/index.qmd b/content/course/modelisation/0_preprocessing/index.qmd
@@ -26,6 +26,7 @@ plotly: true
 bibliography: ../../../../reference.bib
 ---
 
+
 ::: {.cell .markdown}
 ```{python}
 #| echo: false
@@ -106,8 +107,8 @@ pour [réviser `pandas`](#pandas)   :
 
 ::: {.cell .markdown}
 ```{=html}
-<div class="alert alert-info" role="alert">
-<h3 class="alert-heading"><i class="fa-solid fa-comment"></i> Exercice 1 : Importer les données des élections US</h3>
+<div class="alert alert-success" role="alert">
+<h3 class="alert-heading"><i class="fa-solid fa-pencil"></i> Exercice 1 : Importer les données des élections US</h3>
 ```
 
 __Cet exercice est OPTIONNEL__
@@ -298,8 +299,8 @@ ainsi que les relations entre les variables explicatives.
 
 ::: {.cell .markdown}
 ```{=html}
-<div class="alert alert-info" role="alert">
-<h3 class="alert-heading"><i class="fa-solid fa-comment"></i> Exercice 2 : Regarder les corrélations entre les variables</h3>
+<div class="alert alert-success" role="alert">
+<h3 class="alert-heading"><i class="fa-solid fa-pencil"></i> Exercice 2 : Regarder les corrélations entre les variables</h3>
 ```
 
 1. Créer un DataFrame `df2` plus petit avec les variables `winner`, `votes_gop`, `Unemployment_rate_2019`,
@@ -448,8 +449,8 @@ La standardisation consiste à transformer des données pour que la distribution
 
 ::: {.cell .markdown}
 ```{=html}
-<div class="alert alert-info" role="alert">
-<h3 class="alert-heading"><i class="fa-solid fa-comment"></i> Exercice 3: Standardisation</h3>
+<div class="alert alert-success" role="alert">
+<h3 class="alert-heading"><i class="fa-solid fa-pencil"></i> Exercice 3: Standardisation</h3>
 ```
 
 
@@ -551,8 +552,8 @@ Cette transformation est particulièrement utilisée en classification de texte
 
 ::: {.cell .markdown}
 ```{=html}
-<div class="alert alert-info" role="alert">
-<h3 class="alert-heading"><i class="fa-solid fa-comment"></i> Exercice 4 : Normalisation</h3>
+<div class="alert alert-success" role="alert">
+<h3 class="alert-heading"><i class="fa-solid fa-pencil"></i> Exercice 4 : Normalisation</h3>
 ```
 
 1. Normaliser la variable `Median_Household_Income_2019` (ne pas écraser les valeurs !) et regarder l'histogramme avant/après normalisation.
@@ -636,8 +637,8 @@ Il a plutôt vocation à s'appliquer sur les *features* ($X$) du modèle
 
 ::: {.cell .markdown}
 ```{=html}
-<div class="alert alert-info" role="alert">
-<h3 class="alert-heading"><i class="fa-solid fa-comment"></i> Exercice 5 : Encoder des variables catégorielles</h3>
+<div class="alert alert-success" role="alert">
+<h3 class="alert-heading"><i class="fa-solid fa-pencil"></i> Exercice 5 : Encoder des variables catégorielles</h3>
 ```
 
 1. Créer `df` qui conserve uniquement les variables `state_name` et `county_name` dans `votes`.