Feat: score table color formating based on score

recopytex/dashboard/common/formating.py

@@ -0,0 +1,23 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+
+def highlight_scores(highlight_columns, score_color):
+    """ Cells style in a datatable for scores
+
+    :param highlight_columns: columns to highlight
+    :param value_color: dictionnary {"score": "color"}
+
+    """
+    hight = []
+    for v, color in score_color.items():
+        if v:
+            hight += [
+                {
+                    "if": {"filter_query": "{{{}}} = {}".format(col, v), "column_id": col},
+                    "backgroundColor": color,
+                    "color": "white",
+                }
+                for col in highlight_columns
+            ]
+    return hight

recopytex/dashboard/pages/exams_scores/callbacks.py

@@ -8,8 +8,16 @@ import dash_table
 import json
 import pandas as pd
 
-from ...app import app
-from .models import get_tribes, get_exams, get_unstack_scores, get_students_from_exam
+from recopytex.dashboard.app import app
+from recopytex.dashboard.common.formating import highlight_scores
+
+from .models import (
+    get_tribes,
+    get_exams,
+    get_unstack_scores,
+    get_students_from_exam,
+    get_score_colors,
+)
 
 
 @app.callback(
@@ -57,11 +65,15 @@ def update_scores_store(exam):
         "score_rate",
         "is_leveled",
     ]
-    columns = fixed_columns + list(get_students_from_exam(exam))
+
+    students = list(get_students_from_exam(exam))
+    columns = fixed_columns + students
+
+    score_color = get_score_colors()
 
     return [
         [{"id": c, "name": c} for c in columns],
         scores.to_dict("records"),
-        [],
+        highlight_scores(students, score_color),
         {"headers": True, "data": len(fixed_columns)},
     ]

recopytex/dashboard/pages/exams_scores/models.py

@@ -2,7 +2,7 @@
 # encoding: utf-8
 
 from recopytex.database.filesystem.loader import CSVLoader
-from recopytex.lib.dataframe import column_values_to_column
+from recopytex.datalib.dataframe import column_values_to_column
 
 LOADER = CSVLoader("./test_config.yml")
 
@@ -22,9 +22,17 @@ def get_record_scores(exam):
 def get_unstack_scores(exam):
     flat_scores = LOADER.get_exam_scores(exam)
     kept_columns = [col for col in LOADER.score_columns if col != "score"]
-    return column_values_to_column(flat_scores, "student_name", "score", kept_columns)
+    return column_values_to_column("student_name", "score", kept_columns, flat_scores)
 
 
 def get_students_from_exam(exam):
     flat_scores = LOADER.get_exam_scores(exam)
     return flat_scores["student_name"].unique()
+
+
+def get_score_colors():
+    scores_config = LOADER.get_config()["valid_scores"]
+    score_color = {}
+    for key, score in scores_config.items():
+        score_color[score["value"]] = score["color"]
+    return score_color

recopytex/database/filesystem/default_config.yml

@@ -22,13 +22,27 @@ competences: # Competences
     abrv: Com
 
 valid_scores: # 
-  BAD: 0 # Everything is bad
-  FEW: 1 # Few good things
-  NEARLY: 2 # Nearly good but things are missing
-  GOOD: 3 # Everything is good
-  NOTFILLED:   # The item is not scored yet
-  NOANSWER: .  # Student gives no answer (count as 0)
-  ABS: "a"  # Student has absent (this score won't be impact the final mark)
+  BAD: # Everything is bad
+    value: 0 
+    color: "#E7472B"
+  FEW: # Few good things
+    value: 1 
+    color: "#FF712B"
+  NEARLY: # Nearly good but things are missing
+    value: 2
+    color: "#F2EC4C"
+  GOOD: # Everything is good
+    value: 3
+    color: "#68D42F"
+  NOTFILLED: # The item is not scored yet
+    value: ""
+    color: white
+  NOANSWER: # Student gives no answer (count as 0)
+    value: "."
+    color: black
+  ABS: # Student has absent (this score won't be impact the final mark)
+    value: a
+    color: lightgray
 
 csv_fields: # dataframe_field: csv_field 
   term: Trimestre

recopytex/database/filesystem/loader.py

@@ -31,10 +31,10 @@ class CSVLoader(Loader):
     :example:
     >>> loader = CSVLoader()
     >>> loader.get_config()
-    {'source': './', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': 0, 'FEW': 1, 'NEARLY': 2, 'GOOD': 3, 'NOTFILLED': None, 'NOANSWER': '.', 'ABS': 'a'}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}, 'id_templates': {'exam': '{name}_{tribe}', 'question': '{exam_id}_{exercise}_{question}_{comment}'}}
+    {'source': './', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': {'value': 0, 'color': '#E7472B'}, 'FEW': {'value': 1, 'color': '#FF712B'}, 'NEARLY': {'value': 2, 'color': '#F2EC4C'}, 'GOOD': {'value': 3, 'color': '#68D42F'}, 'NOTFILLED': {'value': '', 'color': 'white'}, 'NOANSWER': {'value': '.', 'color': 'black'}, 'ABS': {'value': 'a', 'color': 'lightgray'}}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}, 'id_templates': {'exam': '{name}_{tribe}', 'question': '{exam_id}_{exercise}_{question}_{comment}'}}
     >>> loader = CSVLoader("./test_config.yml")
     >>> loader.get_config()
-    {'source': './example', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': 0, 'FEW': 1, 'NEARLY': 2, 'GOOD': 3, 'NOTFILLED': None, 'NOANSWER': '.', 'ABS': 'a'}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}, 'id_templates': {'exam': '{name}_{tribe}', 'question': '{exam_id}_{exercise}_{question}_{comment}'}, 'output': './output', 'templates': 'templates/', 'tribes': {'Tribe1': {'name': 'Tribe1', 'type': 'Type1', 'students': 'tribe1.csv'}, 'Tribe2': {'name': 'Tribe2', 'students': 'tribe2.csv'}}}
+    {'source': './example', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': {'value': 0, 'color': '#E7472B'}, 'FEW': {'value': 1, 'color': '#FF712B'}, 'NEARLY': {'value': 2, 'color': '#F2EC4C'}, 'GOOD': {'value': 3, 'color': '#68D42F'}, 'NOTFILLED': {'value': '', 'color': 'white'}, 'NOANSWER': {'value': '.', 'color': 'black'}, 'ABS': {'value': 'a', 'color': 'lightgray'}}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}, 'id_templates': {'exam': '{name}_{tribe}', 'question': '{exam_id}_{exercise}_{question}_{comment}'}, 'output': './output', 'templates': 'templates/', 'tribes': {'Tribe1': {'name': 'Tribe1', 'type': 'Type1', 'students': 'tribe1.csv'}, 'Tribe2': {'name': 'Tribe2', 'students': 'tribe2.csv'}}}
     """
 
     CONFIG = DEFAULT_CONFIG

recopytex/datalib/dataframe.py

@@ -0,0 +1,21 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+
+def column_values_to_column(pivot_column, value_column, kept_columns, df):
+    """Pivot_column's values go to column with value_column under it, keeping kept_columns
+
+    :param pivot_column: column name where value will become columns
+    :param value_column: column name where value will be under pivot_column
+    :param kept_columns: unchanged columns
+    :param df: DataFrame to work with
+
+    :return: Stack dataframe
+
+    """
+    if pivot_column in kept_columns:
+        pivot_columns = kept_columns
+    else:
+        pivot_columns = kept_columns + [pivot_column]
+
+    return df.set_index(pivot_columns).unstack(pivot_column)[value_column].reset_index()