Merge bd375e783a into dc5639c663

Fixes #390

bakerydemo/base/management/commands/create_gpt_generated_data.py

@@ -0,0 +1,157 @@
+from pathlib import Path
+
+from django.conf import settings
+from django.core.management.base import BaseCommand
+from django.utils import timezone
+from django.utils.text import slugify
+from wagtail.rich_text import RichText
+from django.core.files.base import ContentFile
+from wagtail.images.models import Image
+from django.db import IntegrityError
+
+from bakerydemo.blog.models import BlogIndexPage, BlogPage, BlogPersonRelationship
+from bakerydemo.base.models import Person
+import requests
+import json
+import random
+import datetime
+from wagtail.models import Collection
+
+from openai import OpenAI
+
+FIXTURE_MEDIA_DIR = Path(settings.PROJECT_DIR) / "base/fixtures/media/original_images"
+client = OpenAI()
+
+class Command(BaseCommand):
+    help = "Creates generated Page data using chatGPT. Useful for demonstrating different use cases."
+
+    def add_arguments(self, parser):
+        parser.add_argument(
+            "--page_count",
+            type=int,
+            help="How many blog pages to create",
+        )
+
+    def make_stream_field_content(self, title, subtitle, collection_name):
+        # get random images for the blog from the generated set
+        image_1 = self.get_random_image(Image, collection_name)
+        image_2 = self.get_random_image(Image, collection_name)
+        # generate rich text for the content
+        prompt = f"""Please give me three paragraphs of content for a blog post called '{title}' with the subtitle '{subtitle}'. They should in JSON of the form {{"paragraph_1": "<p>example</p>", "paragraph_2": "<p>example</p>", "paragraph_3: "<p>example<p>"}} where example is replaced with html content. You may use <p>,<h2>,<h3> and <h4> tags as well as lists. It is the entire blog post so make sure to conclude at the end."""
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": prompt,
+                }
+            ],
+            model="gpt-4",
+        )
+        streamfield_chat_completion = chat_completion.choices[0].message.content.replace('\n', "")
+        json_streamfield_chat_completion = json.loads(streamfield_chat_completion)
+
+        return [('paragraph_block', RichText(json_streamfield_chat_completion["paragraph_1"])),
+                ('image_block', {'image': image_1}),
+                ('paragraph_block', RichText(json_streamfield_chat_completion["paragraph_2"])),
+                ('image_block', {'image': image_2}),
+                ('paragraph_block', RichText(json_streamfield_chat_completion["paragraph_3"])),
+                ]
+
+
+    def generate_images(self, theme, number_of_images, collection_name):
+        for _ in range(number_of_images):
+            print("Generating image...")
+            prompt = f"an image for blog post about {theme}"
+            response = client.images.generate(
+                model="dall-e-3",
+                prompt=prompt,
+                size="1024x1024",
+                quality="standard",
+                n=1,
+            )
+            # Download the image
+            image_url = response.data[0].url
+            response = requests.get(image_url)
+            # Get or create a collection for the generated images
+            try:
+                collection, created = Collection.objects.get_or_create(name=collection_name)
+            except IntegrityError:
+                root_coll = Collection.get_first_root_node()
+                collection = root_coll.add_child(name=collection_name)
+
+            if response.status_code == 200:
+                # Create a Django ContentFile with the image content
+                image_content = ContentFile(response.content)
+                wagtail_image = Image(title=prompt, collection=collection)
+                wagtail_image.file.save(f"{prompt}.jpg", image_content, save=True)
+
+    def make_title(self, theme):
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"Create a unique and creative title for a blog post about {theme}. Aim for originality and surprise me with your choice. It should be of the format title: subtitle. Don't include the words title or subtitle in your response",
+                }
+            ],
+            model="gpt-4",
+        )
+        content = chat_completion.choices[0].message.content.strip("'").strip('"')
+        title, subtitle = content.split(":", 1)
+        print(f'title: {title}, subtitle: {subtitle}')
+        return title, subtitle
+
+    def make_intro(self, title, subtitle):
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"Based on the title '{title}' and the subtitle '{subtitle}', create an introduction paragraph for this blog post. Don't repeat the title or the subtitle.",
+                }
+            ],
+            model="gpt-4",
+        )
+        content = chat_completion.choices[0].message.content.strip("'")
+        return content
+
+    def get_random_image(self, model, collection_name):
+        return model.objects.filter(collection__name=collection_name).order_by("?").first()
+
+    def get_random_model(self, model):
+        return model.objects.order_by("?").first()
+
+    def get_random_recent_date(self):
+        now = timezone.now()
+        random_day_diff = random.randint(0, 365)
+        random_date = now - datetime.timedelta(days=random_day_diff)
+        return random_date
+
+    def create_pages(self, page_count, theme, collection_name):
+        self.stdout.write("Creating blog pages...")
+        blog_index = BlogIndexPage.objects.live().first()
+        for _ in range(page_count):
+            title, subtitle = self.make_title(theme)
+            new_blog_page = BlogPage(
+                    title=title,
+                    image=self.get_random_image(Image, collection_name),
+                    slug=slugify(title),
+                    introduction=self.make_intro(title, subtitle),
+                    body=self.make_stream_field_content(title, subtitle, collection_name),
+                    subtitle=subtitle,
+                    date_published=self.get_random_recent_date(),
+                )
+            blog_index.add_child(instance=new_blog_page)
+            # add an author
+            BlogPersonRelationship.objects.create(page=new_blog_page, person=self.get_random_model(Person))
+
+    def handle(self, **options):
+        theme = input('What should the blog posts be about? ')
+        page_count = int(input('How many blog posts should be created? '))
+        generate_images = input('Do you want to create new images? (y/n): ').lower().strip()
+        if generate_images == 'y':
+            number_of_images = int(input('How many images should be created? '))
+            collection_name = input('What should the collection to keep these images in be called? (Or what is the name of an existing one?) ')
+        else:
+            number_of_images = 0
+            collection_name = input('Which collection do you want to take images from? ')
+        self.generate_images(theme, number_of_images, collection_name)
+        self.create_pages(page_count, theme, collection_name)

contributing.md

@@ -5,7 +5,9 @@ agree to abide by the Wagtail [code of conduct](https://github.com/wagtail/wagta
 
 If you do not have write access to the repo, fork, then clone the repo:
 
-    git clone git@github.com:your-username/bakerydemo.git
+```bash
+git clone git@github.com:your-username/bakerydemo.git
+```
 
 Set up your machine for [development](https://github.com/wagtail/bakerydemo/blob/master/readme.md).
 

readme.md

@@ -133,35 +133,41 @@ You can run the Wagtail demo locally without setting up Vagrant or Docker and si
 
 With [PIP](https://github.com/pypa/pip) and [virtualenvwrapper](https://virtualenvwrapper.readthedocs.io/en/latest/)
 installed, run:
-
-    mkvirtualenv wagtailbakerydemo
-    python --version
+```bash
+mkvirtualenv wagtailbakerydemo
+python --version
+```
 
 Confirm that this is showing a compatible version of Python 3.x. If not, and you have multiple versions of Python installed on your system, you may need to specify the appropriate version when creating the virtualenv:
-
-    deactivate
-    rmvirtualenv wagtailbakerydemo
-    mkvirtualenv wagtailbakerydemo --python=python3.9
-    python --version
+```bash
+deactivate
+rmvirtualenv wagtailbakerydemo
+mkvirtualenv wagtailbakerydemo --python=python3.9
+python --version
+```
 
 Now we're ready to set up the bakery demo project itself:
-
-    cd ~/dev [or your preferred dev directory]
-    git clone https://github.com/wagtail/bakerydemo.git
-    cd bakerydemo
-    pip install -r requirements/development.txt
+```bash
+cd ~/dev [or your preferred dev directory]
+git clone https://github.com/wagtail/bakerydemo.git
+cd bakerydemo
+pip install -r requirements/development.txt
+```
 
 Next, we'll set up our local environment variables. We use [django-dotenv](https://github.com/jpadilla/django-dotenv)
 to help with this. It reads environment variables located in a file name `.env` in the top level directory of the project. The only variable we need to start is `DJANGO_SETTINGS_MODULE`:
-
-    cp bakerydemo/settings/local.py.example bakerydemo/settings/local.py
-    cp .env.example .env
+```bash
+cp bakerydemo/settings/local.py.example bakerydemo/settings/local.py
+cp .env.example .env
+# `cp` is used for bash. Windows Command Prompt uses `copy`
+```
 
 To set up your database and load initial data, run the following commands:
-
-    ./manage.py migrate
-    ./manage.py load_initial_data
-    ./manage.py runserver
+```bash
+./manage.py migrate
+./manage.py load_initial_data
+./manage.py runserver
+```
 
 Log into the admin with the credentials `admin / changeme`.