65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
import frappe
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from community.lms.models import Course
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from collections import defaultdict
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from . import utils
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def get_context(context):
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utils.get_common_context(context)
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exercise_name = frappe.form_dict.get("exercise")
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if exercise_name:
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exercise = frappe.get_doc("Exercise", exercise_name)
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else:
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exercise = None
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context.exercise = exercise
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context.report = BatchReport(context.course, context.batch)
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class BatchReport:
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def __init__(self, course, batch):
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self.submissions = get_submissions(batch)
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self.exercises = self.get_exercises(course.name)
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self.submissions_by_exercise = defaultdict(list)
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for s in self.submissions:
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self.submissions_by_exercise[s.exercise].append(s)
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def get_exercises(self, course_name):
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return frappe.get_all("Exercise", {"course": course_name}, ["name", "title"])
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def get_submissions_of_exercise(self, exercise_name):
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return self.submissions_by_exercise[exercise_name]
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def get_submissions(batch):
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students = batch.get_students()
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students_map = {s['email']: s for s in students}
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names, values = nparams("s", students_map.keys())
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sql = """
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select owner, exercise, name, solution, creation, image
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from (
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select owner, exercise, name, solution, creation, image,
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row_number() over (partition by owner, exercise order by creation desc) as ix
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from `tabExercise Submission`) as t
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where t.ix=1 and owner IN {}
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""".format(names)
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data = frappe.db.sql(sql, values=values, as_dict=True)
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for row in data:
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row['owner'] = students_map[row['owner']]
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return data
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def nparams(name, values):
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"""Creates n paramters from a list of values for a db query.
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>>> nparams("name", ["a", "b])
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("(%(name_1)s, %(name_2)s)", {"name_1": "a", "name_2": "b"})
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"""
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keys = [f"{name}_{i}" for i, _ in enumerate(values, start=1)]
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param_names = [f"%({k})s" for k in keys]
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param_values = dict(zip(keys, values))
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joined_names = "(" + ", ".join(param_names) + ")"
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return joined_names, param_values
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