feat: Initial setup for social_platform and openpage app

Initializes the Django project `social_platform` and the core app `openpage`.

Features included:
- `openpage` app for creating posts with AI-generated images.
- `Post` model with fields for user, prompt, AI-generated image, caption, and timestamps.
- Integration with OpenAI's DALL-E API for image generation (via `openpage.services.generate_image_from_prompt`).
- Django Forms (`PostForm`) for post creation.
- Views for creating, listing, and detailing posts (`create_post_view`, `post_list_view`, `post_detail_view`).
- Basic HTML templates for these views, extending a common `base.html`.
- URL configurations for the app and project, including media file serving in development.
- Django admin interface for `Post` model with customizations for display and filtering.
- Basic user authentication relies on Django admin login/logout.
- Comprehensive unit and integration tests for models, services (mocking external API), views, and forms.
- `social_platform_requirements.txt` for project dependencies (Django, Pillow, openai, requests).
- Configuration for `MEDIA_ROOT`, `MEDIA_URL`, `LOGIN_URL`, and placeholder for `OPENAI_API_KEY` (loaded from environment).

Author: google-labs-jules[bot]

db.sqlite3

@@ -13,77 +13,80 @@
         "prompt": "Is the profile picture generic, a stock photo, an illustration, or of a celebrity (i.e., not a clear photo of a unique, real person)?",
         "type": "yes_no",
         "weight_if_yes": 2,
-        "details_if_yes": "Generic or stolen profile pictures are common for fake accounts."
+        "details_if_yes": "Generic or stolen profile pictures are common for fake accounts.",
     },
     {
         "id": "profile_picture_reverse_search",
         "prompt": "Have you tried a reverse image search (e.g., Google Images, TinEye) on the profile picture? If so, did it show the image is widely used, a stock photo, or belongs to someone else?",
         "type": "yes_no",
         "weight_if_yes": 3,
-        "details_if_yes": "Reverse image search can often quickly identify stolen or common stock photos."
+        "details_if_yes": "Reverse image search can often quickly identify stolen or common stock photos.",
     },
     {
         "id": "account_age_very_new",
         "prompt": "Does the profile seem very new with little history (e.g., join date is recent, few old posts)? (Requires manual check on the profile)",
         "type": "yes_no",
         "weight_if_yes": 1,
-        "details_if_yes": "While not definitive, many fake accounts are newly created."
+        "details_if_yes": "While not definitive, many fake accounts are newly created.",
     },
     {
         "id": "few_posts_or_activity",
         "prompt": "Does the profile have very few posts, photos, or other activity over its lifespan? (Requires manual check)",
         "type": "yes_no",
         "weight_if_yes": 1,
-        "details_if_yes": "Lack of genuine activity can be a sign."
+        "details_if_yes": "Lack of genuine activity can be a sign.",
     },
     {
         "id": "generic_or_copied_posts",
         "prompt": "Are the posts (if any) generic, nonsensical, repetitive, or seem copied from other sources? (Requires manual check)",
         "type": "yes_no",
         "weight_if_yes": 2,
-        "details_if_yes": "Content that isn't original or personal is suspicious."
+        "details_if_yes": "Content that isn't original or personal is suspicious.",
     },
     {
         "id": "friend_count_mismatch",
         "prompt": "Does the profile have a very high number of friends but very little engagement (likes/comments) on their posts, or an unusually low number of friends for a long-standing account? (Requires manual check)",
         "type": "yes_no",
         "weight_if_yes": 1,
-        "details_if_yes": "Unusual friend counts or activity ratios can be indicators."
+        "details_if_yes": "Unusual friend counts or activity ratios can be indicators.",
     },
     {
         "id": "poor_grammar_spelling",
         "prompt": "Is the language used in the profile's 'About' section or posts consistently poor in grammar or spelling (beyond typical typos)? (Requires manual check)",
         "type": "yes_no",
         "weight_if_yes": 1,
-        "details_if_yes": "Often, hastily created fake profiles have noticeable language issues."
+        "details_if_yes": "Often, hastily created fake profiles have noticeable language issues.",
     },
     {
         "id": "about_section_sparse_or_inconsistent",
         "prompt": "Is the 'About' section very sparse, missing key information (like education, work), or contains information that seems inconsistent or overly glamorous/fake? (Requires manual check)",
         "type": "yes_no",
         "weight_if_yes": 2,
-        "details_if_yes": "Incomplete or suspicious 'About' information is a red flag."
+        "details_if_yes": "Incomplete or suspicious 'About' information is a red flag.",
     },
     {
         "id": "mutual_friends_suspicious",
         "prompt": "If you have mutual friends, do those mutual connections seem legitimate or are they also suspicious-looking profiles?",
         "type": "yes_no",
         "weight_if_yes": 1,
-        "details_if_yes": "Fake accounts often connect with other fake accounts."
+        "details_if_yes": "Fake accounts often connect with other fake accounts.",
     },
     {
         "id": "pressure_or_strange_requests",
         "prompt": "Has this profile sent you messages that pressure you for information, money, or to click suspicious links shortly after connecting?",
         "type": "yes_no",
         "weight_if_yes": 3,
-        "details_if_yes": "This is a strong indicator of a malicious fake account."
-    }
+        "details_if_yes": "This is a strong indicator of a malicious fake account.",
+    },
 ]
 
+
 def guide_reverse_image_search(image_url=None):
     """Opens browser tabs to guide the user through reverse image search."""
     print("\n--- Guiding Reverse Image Search ---")
-    print("You can use services like Google Images or TinEye to check if a profile picture is used elsewhere.")
+    print(
+        "You can use services like Google Images or TinEye to check if a profile picture is used elsewhere."
+    )
     if image_url:
         print(f"If you have a direct URL for the image: {image_url}")
         google_url = f"https://images.google.com/searchbyimage?image_url={image_url}"
@@ -98,7 +101,9 @@ def guide_reverse_image_search(image_url=None):
         webbrowser.open("https://images.google.com/")
         print("TinEye: https://tineye.com/")
         webbrowser.open("https://tineye.com/")
-    print("Look for whether the image is a common stock photo, belongs to a different person, or appears on many unrelated profiles.")
+    print(
+        "Look for whether the image is a common stock photo, belongs to a different person, or appears on many unrelated profiles."
+    )
     input("Press Enter to continue after performing your search...")
 
 
@@ -111,32 +116,45 @@ def analyze_profile_based_on_user_input(profile_url):
     print(f"Please open the Facebook profile in your browser: {profile_url}")
     print("You will be asked a series of questions based on your observations.")
     print("This tool does NOT access Facebook directly or scrape any data.")
-    webbrowser.open(profile_url) # Open for user convenience
+    webbrowser.open(profile_url)  # Open for user convenience
 
     user_responses = {}
     total_score = 0
     positive_indicators = []
 
     # Ask about reverse image search first
-    perform_ris = input("Do you want guidance to perform a reverse image search on the profile picture? (yes/no): ").strip().lower()
-    if perform_ris == 'yes':
-        img_url_known = input("Do you have a direct URL for the profile image? (yes/no): ").strip().lower()
-        if img_url_known == 'yes':
+    perform_ris = (
+        input(
+            "Do you want guidance to perform a reverse image search on the profile picture? (yes/no): "
+        )
+        .strip()
+        .lower()
+    )
+    if perform_ris == "yes":
+        img_url_known = (
+            input("Do you have a direct URL for the profile image? (yes/no): ")
+            .strip()
+            .lower()
+        )
+        if img_url_known == "yes":
             actual_img_url = input("Please paste the direct image URL: ").strip()
             guide_reverse_image_search(actual_img_url)
         else:
             guide_reverse_image_search()
-            print("Now, let's answer the question about the reverse image search based on your findings.")
-
+            print(
+                "Now, let's answer the question about the reverse image search based on your findings."
+            )
 
     for indicator in FAKE_PROFILE_INDICATORS:
         while True:
             answer = input(f"{indicator['prompt']} (yes/no): ").strip().lower()
-            if answer in ['yes', 'no']:
-                user_responses[indicator['id']] = answer
-                if answer == 'yes':
-                    total_score += indicator['weight_if_yes']
-                    positive_indicators.append(f"- {indicator['prompt']} ({indicator['details_if_yes']})")
+            if answer in ["yes", "no"]:
+                user_responses[indicator["id"]] = answer
+                if answer == "yes":
+                    total_score += indicator["weight_if_yes"]
+                    positive_indicators.append(
+                        f"- {indicator['prompt']} ({indicator['details_if_yes']})"
+                    )
                 break
             else:
                 print("Invalid input. Please answer 'yes' or 'no'.")
@@ -145,39 +163,58 @@ def analyze_profile_based_on_user_input(profile_url):
     print(f"Profile URL: {profile_url}")
 
     if not positive_indicators:
-        print("Based on your answers, no common fake profile indicators were strongly identified.")
+        print(
+            "Based on your answers, no common fake profile indicators were strongly identified."
+        )
         print("However, always remain cautious.")
     else:
-        print("The following indicators suggestive of a fake profile were noted based on your input:")
+        print(
+            "The following indicators suggestive of a fake profile were noted based on your input:"
+        )
         for pi in positive_indicators:
             print(pi)
 
         print(f"\nOverall 'suspicion score': {total_score}")
         if total_score == 0:
-             print("Assessment: No strong indicators noted from your input.")
+            print("Assessment: No strong indicators noted from your input.")
         elif total_score <= 3:
-            print("Assessment: Low likelihood of being fake based on your input, but remain cautious.")
+            print(
+                "Assessment: Low likelihood of being fake based on your input, but remain cautious."
+            )
         elif total_score <= 6:
-            print("Assessment: Medium likelihood. Some indicators suggest this profile could be fake. Exercise caution.")
+            print(
+                "Assessment: Medium likelihood. Some indicators suggest this profile could be fake. Exercise caution."
+            )
         elif total_score <= 9:
-            print("Assessment: High likelihood. Several indicators suggest this profile may be fake. High caution advised.")
+            print(
+                "Assessment: High likelihood. Several indicators suggest this profile may be fake. High caution advised."
+            )
         else:
-            print("Assessment: Very high likelihood. Many strong indicators suggest this profile is likely fake. Avoid interaction and consider reporting.")
+            print(
+                "Assessment: Very high likelihood. Many strong indicators suggest this profile is likely fake. Avoid interaction and consider reporting."
+            )
 
     print("\nDisclaimer:")
-    print("This analysis is based SOLELY on your manual observations and answers to the checklist.")
-    print("It is not a definitive judgment. False positives and negatives are possible.")
+    print(
+        "This analysis is based SOLELY on your manual observations and answers to the checklist."
+    )
+    print(
+        "It is not a definitive judgment. False positives and negatives are possible."
+    )
     print("Always use your best judgment when interacting with profiles online.")
-    print("If you suspect a profile is fake and malicious, consider reporting it to Facebook through their official channels.")
+    print(
+        "If you suspect a profile is fake and malicious, consider reporting it to Facebook through their official channels."
+    )
 
     return {
         "profile_url": profile_url,
         "score": total_score,
         "positive_indicators_details": positive_indicators,
-        "user_responses": user_responses
+        "user_responses": user_responses,
     }
 
-if __name__ == '__main__':
+
+if __name__ == "__main__":
     print("Fake Profile Detector - Manual Checklist Tool")
     print("IMPORTANT: This tool does NOT access Facebook or scrape data.")
     print("It guides YOU to manually check a profile and answer questions.")
@@ -187,7 +224,9 @@ def analyze_profile_based_on_user_input(profile_url):
     # First, ensure the user is aware of the process for reverse image search, as it's a common first step.
     # For the test, we'll simulate this.
 
-    test_profile_url = input("Enter a Facebook profile URL to simulate analyzing (e.g., https://www.facebook.com/some.profile): ").strip()
+    test_profile_url = input(
+        "Enter a Facebook profile URL to simulate analyzing (e.g., https://www.facebook.com/some.profile): "
+    ).strip()
     if not test_profile_url:
         print("No URL entered, exiting.")
     else: