ロードマップ4: Djangoで作る競馬予想AIモデル分析ソフト part3

～～～～～～～～～～～　省略　～～～～～～～～～～～

# 以下のModelImportFormsに丸っと置き換えてください
class ModelImportForms(forms.Form):
    model_name = forms.CharField(
        label="モデル名",
        required=True,
        widget=forms.TextInput(
            attrs={
                "placeholder": "分かりやすい名前にしましょう"
            }
        )
    )
    motivate = forms.CharField(
        label="モデルの説明",
        required=True,
        widget=forms.Textarea(
            attrs={
                "rows": 8
            }
        ),
        initial="""以下テンプレ、好きに変えてください。
【モデル作成の動機】

【モデルの目的】

【期待すること】

【特徴量】

【目的変数】
"""
    )
    memo = forms.CharField(
        widget=forms.Textarea(
            attrs={
                "rows": 2,
                'placeholder': '他に何か書いておきたいこと',
            }
        ),
        label="備考",
        required=False
    )
    model_info_json = forms.FileField(
        label="モデル情報 (モデル分析管理クラスでエクスポートしたmodel_info.json)",
        required=True,
        validators=[FileExtensionValidator(['json', ])],
        widget=forms.FileInput(
            attrs={
                "placeholder": "モデル分析管理クラスでエクスポートしたJsonファイルを指定"
            }
        )
    )

～～～～～～～～～～～　省略　～～～～～～～～～～～

from django.shortcuts import redirect, render
from django.views import View
from django.core.handlers.wsgi import WSGIRequest
from model_analyzer.tools.form_control.model_manage_forms import generate_model_import_forms, validation_model_import_forms

# Create your views here.


class TopPageView(View):
    nav_params = {
        "model_analyze": True,
        "model_manage": True
    }

    def get(self, request: WSGIRequest):

        return render(request, 'top_page.html', self.nav_params)


class ModelAnalyzeView(View):
    nav_params = {
        "model_analyze": False,
        "model_manage": True
    }

    def get(self, request: WSGIRequest):
        return render(request, 'model_analyze.html', self.nav_params)


class ModelManageView(View):
    nav_params = {
        "model_analyze": True,
        "model_manage": False
    }

    def start(self, request: WSGIRequest):
        generate_model_import_forms(self.nav_params, request)

    def get(self, request: WSGIRequest):
        self.start(request)
        return render(request, 'model_manage.html', self.nav_params)

    def post(self, request: WSGIRequest):
        flag = validation_model_import_forms(request, self.nav_params)
        if flag:
            return redirect("./model-manage")
        return render(request, 'model_manage.html', self.nav_params)

from model_analyzer.forms import ModelImportForms, ModelListForms
from model_analyzer.models import ModelList
from django.contrib import messages
import json
from django.core.handlers.wsgi import WSGIRequest
import uuid


def set_submit_token(request: WSGIRequest):
    request_token = request.session.get("csrfmiddlewaretoken")
    if request_token == "":
        request.session["csrfmiddlewaretoken"] = str(uuid.uuid4())


def check_submit_token(request: WSGIRequest,) -> bool:
    request_token = request.session.get("csrfmiddlewaretoken")
    submit_token = request.POST.get('csrfmiddlewaretoken')
    if not submit_token:
        return False
    if request_token != submit_token:
        request.session["csrfmiddlewaretoken"] = submit_token
        return True
    else:
        return False


def generate_model_import_forms(nav_params: dict, request: WSGIRequest):
    form = ModelImportForms()
    if "model_form" in nav_params:
        nav_params.pop("model_form")
    if "form" in nav_params:
        nav_params.pop("form")
    nav_params |= {"form": form}
    set_submit_token(request)


def validation_model_import_forms(request: WSGIRequest, nav_params: dict):
    form = ModelImportForms(request.POST, request.FILES)
    if form.is_valid():
        model_info = json.loads(
            form.cleaned_data.pop("model_info_json").read())
        form.cleaned_data |= model_info
        model_form = ModelListForms(form.cleaned_data)
        if model_form.is_valid():
            if check_submit_token(request):
                model_form.save()
                messages.success(
                    request,
                    "モデルのインポートに成功しました。" +
                    f"モデル名: {model_form.cleaned_data['model_name']}, " +
                    f"モデル種別: {model_form.cleaned_data['model_type']}"
                )
                nav_params |= {"form": ModelImportForms()}
            else:
                return True
        else:
            nav_params |= {"model_form": model_form, "form": form}

    return False

$(document).ready(function () {
    $.each(
        $("[id=success-alert]"),
        function (i, elem) {
            $(elem).fadeTo(
                3000 + 1000 * i,
                1000
            ).slideUp(
                1000, function () {
                    $(elem).slideUp(500);
                }
            );
        }
    );
});

<!DOCTYPE html>
<html lang="ja">

<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
  <link rel="icon" type="image/x-icon" href="/static/images/favicon.png">
  <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/css/bootstrap.min.css" rel="stylesheet"
    integrity="sha384-QWTKZyjpPEjISv5WaRU9OFeRpok6YctnYmDr5pNlyT2bRjXh0JMhjY6hW+ALEwIH" crossorigin="anonymous">
  <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.7.1/jquery.min.js"></script>
  <title>競馬予想ソフト</title>
</head>

<body>
  <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/js/bootstrap.bundle.min.js"
    integrity="sha384-YvpcrYf0tY3lHB60NNkmXc5s9fDVZLESaAA55NDzOxhy9GkcIdslK1eN7N6jIeHz"
    crossorigin="anonymous"></script>
  <header>
    <nav class="navbar navbar-expand bg-body-secondary" data-bs-theme="dark">
      <div class="container-fluid">
        <a class="navbar-brand" href="./index.html">um-AI</a>
        <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar"
          aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
          <span class="navbar-toggler-icon"></span>
        </button>

        <div class="collapse navbar-collapse" id="navbar">
          <ul class="navbar-nav me-auto">
            <li class="nav-item">
              <a class="nav-link active" aria-current="page" href="./index.html">Home</a>
            </li>
            <li class="nav-item">
              {% if model_analyze %}
              <a class="nav-link active" href="./model-analyze">モデル分析</a>
              {% else %}
              <a class="nav-link disabled" href="./model-analyze" tabindex="-1" aria-disabled="true">モデル分析</a>
              {% endif %}
            </li>
            <li class="nav-item">
              {% if model_manage %}
              <a class="nav-link active" href="./model-manage">モデル管理</a>
              {% else %}
              <a class="nav-link disabled" href="./model-manage" tabindex="-1" aria-disabled="true">モデル管理</a>
              {% endif %}
            </li>
          </ul>
        </div>
      </div>
    </nav>
  </header>

  {% if messages %}
  <div class="container-fluid" style="margin-top:1rem;">
    <div class="notification is-info">
      {% for message in messages %}
      <div {% if message.tags %}class="alert alert-{{ message.tags }}" {% endif %} id="success-alert"
        style="font-size: small;">
        {{ message }}
      </div>
      {% endfor %}
    </div>
  </div>
  {% endif %}
  <main>
    <div class="d-flex container-fluid">
      {% block content %}
      <!-- ここに個別のhtmlが入る -->
      {% endblock %}
    </div>
  </main>
  <script src="/static/js/base_layout/fade_popup.js"></script>
</body>

</html>

{% extends "base_layout.html" %}
{% load crispy_forms_tags %}

{% block content %}
<div class="col-md-9 ms-sm-auto col-lg-10 px-md-4">
  <div class="row my-1">
    {% if form.errors %}
    <ul>
      {% for error in form.errors %}
      <li>{{ error }}</li><!--form内にエラーがある際に表示させる-->
      {% endfor %}
    </ul>
    {% endif %}
    {% if model_form.errors %}
    <h4>Upload Json File Error!!</h4>
    {{ model_form.errors }}
    {% endif %}
  </div>
  <div class="row my-2">
    <div class="col-sm-12 col-xs-12 col-md-6">
      <button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#modelImportForm">
        モデルインポート
      </button>
    </div>

    <div id="modelImportForm" class="modal fade" tabindex="-1" aria-labelledby="modelImportLabel" aria-hidden="true">
      <div class="modal-dialog">
        <div class="modal-content">
          <form class="" action="" method="post" enctype="multipart/form-data">
            <div class="modal-header">
              <h1 class="modal-title fs-5" id="exampleModalLabel">Model Import Form</h1>
              <button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
            </div>
            <div class="modal-body">
              {% csrf_token %}
              {{ form|crispy }}
            </div>
            <div class="modal-footer">
              <button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
              <button type="submit" class="btn btn-primary">送信</button>
            </div>
          </form>
        </div>
      </div>
    </div>
  </div>
  <div class="row">

  </div>
</div>
{% endblock %}

{
  "model_dir": "E:\\keiba_dev\\keiba_ai\\models\\first_model",
  "model_analyze_dir": "E:\\keiba_dev\\keiba_ai\\models\\first_model\\analyze",
  "model_predict_dir": "E:\\keiba_dev\\keiba_ai\\models\\first_model\\analyze\\00_predict",
  "bet_columns_map": {
    "tan": "bet_tan"
  },
  "pl_column_map": {
    "tan": "pl_tan"
  },
  "return_hit_rate_file": {
    "tan": "E:\\keiba_dev\\keiba_ai\\models\\first_model\\analyze\\tan\\hit_and_return_rate.csv"
  },
  "fav_bet_num_dir": {
    "tan": "E:\\keiba_dev\\keiba_ai\\models\\first_model\\analyze\\tan\\fav_bet_num"
  },
  "profit_loss_dir": {
    "tan": "E:\\keiba_dev\\keiba_ai\\models\\first_model\\analyze\\tan\\profit_loss"
  },
  "odds_graph_file": {
    "tan": "E:\\keiba_dev\\keiba_ai\\models\\first_model\\analyze\\tan\\odds_graph"
  },
  "confidence_column": "pred_prob",
  "confidence_rank_column": "pred_rank"
}