userProfile.py 文件源码

def profile(request):
    current_user_id = request.user.id
    user_histories = UserHistory.objects.all().filter(user_id=current_user_id)
    context = {"skipped_grammars": [], 
        "completed_grammars": [], 
        "percentile": 0,
        "user_info": {}}
    available_score = 0
    earned_score = 0
    # get data for each grammar that the user has completed
    for user_history in user_histories:
        grammar = Grammar.objects.get(pk=user_history.grammar_id)
        grammar_dict = model_to_dict(grammar, fields=["gid","prods","nonTerminals"])
        stats_dict = model_to_dict(user_history, fields=["complete", "score", "updateTime"])
        stats_dict.update(grammar_dict)
        nQuestions = (2 * len(stats_dict['nonTerminals']) + 2)
        available_score += nQuestions
        if stats_dict["complete"]:
            stats_dict["grammar_avg"] = get_grammar_avg(user_history.grammar_id)
            stats_dict["total_score"] = nQuestions
            context["completed_grammars"].append(stats_dict)
            earned_score += stats_dict["score"]
        else: 
            context["skipped_grammars"].append(stats_dict)
    #sort grammarhistory based on time
    context["completed_grammars"] = sorted(context["completed_grammars"], key=lambda k: k['updateTime'])
    context["skipped_grammars"] = sorted(context["skipped_grammars"], key=lambda k: k['updateTime'])
    # get user information
    user_info = model_to_dict(User.objects.get(pk=current_user_id), ["first_name", "last_name", "data_joined", "email", "last_login"])
    context["percentile"] = round(get_user_performance(current_user_id),2)
    context["user_info"] = user_info
    #pack up infos for the pie charts
    chart_stats = {"correct": earned_score, "wrong": available_score-earned_score}
    chart_stats.update(get_complete_rate(current_user_id))
    context["chart_stats"] = json.dumps(chart_stats)

    return render(request, 'LL1_Academy/profile.html', context)