Refactor and implement queueing messages

core/messaging/analysis.py

@@ -0,0 +1,73 @@
+from core.lib.prompts import bases
+from openai import AsyncOpenAI
+from asgiref.sync import sync_to_async
+from core.models import Message, ChatSession, AI, Person, Manipulation
+from core.util import logs
+import json
+import asyncio
+from django.utils import timezone
+import random
+
+def generate_prompt(msg: dict, person: Person, manip: Manipulation, chat_history: str):
+    """
+    Generate a structured prompt using the attributes of the provided Person and Manipulation models.
+    """
+
+    now = timezone.now()
+    persona = manip.persona
+
+    system_message = (
+        "You are my digital persona, responding on my behalf while embodying my personality, preferences, and unique style.\n\n"
+        
+        "### Persona Profile ###\n"
+        f"- **MBTI:** {persona.mbti} ({persona.mbti_identity} balance)\n"
+        f"- **Tone:** {persona.tone} | **Humor:** {persona.humor_style}\n"
+        f"- **Core Values:** {persona.core_values}\n"
+        f"- **Communication Style:** {persona.communication_style}\n"
+        f"- **Flirting Style:** {persona.flirting_style}\n"
+        f"- **Likes:** {persona.likes} | **Dislikes:** {persona.dislikes}\n"
+        f"- **Response Tactics:** {persona.response_tactics}\n"
+        f"- **Persuasion Techniques:** {persona.persuasion_tactics}\n"
+        f"- **Boundaries:** {persona.boundaries} | **Adaptability:** {persona.adaptability}%\n\n"
+
+        "### Contact Information ###\n"
+        f"- **Summary:** {person.summary or 'N/A'}\n"
+        f"- **Profile:** {person.profile or 'N/A'}\n"
+        f"- **Revealed Details:** {person.revealed or 'N/A'}\n"
+        f"- **Sentiment Score:** {person.sentiment}\n"
+        f"- **Timezone:** {person.timezone or 'N/A'}\n"
+        f"- **Last Interaction:** {person.last_interaction or 'Never'}\n"
+        f"- **Current Date/Time:** {now}\n\n"
+
+        "### Conversation Context ###\n"
+        f"{chat_history if chat_history else 'No prior chat history.'}\n\n"
+
+        "### Response Guidelines ###\n"
+        "- **Engagement**: Keep responses engaging, with a balance of wit, depth, and confidence.\n"
+        "- **Flirting**: Be direct, playful, and, when appropriate, subtly provocative—without hesitation.\n"
+        "- **Pauses**: Use double newlines (`\\n\\n`) to pause where it enhances realism.\n"
+        "- **Flow Awareness**: Maintain continuity, avoid redundancy, and adjust response length based on interaction.\n"
+    )
+
+    user_message = f"[{msg['timestamp']}] <{person.name}> {msg['text']}"
+
+    return [
+        {"role": "system", "content": system_message},
+        {"role": "user", "content": user_message},
+    ]
+
+async def run_context_prompt(
+        prompt: list[str],
+        ai: AI,
+        ):
+    cast = {"api_key": ai.api_key}
+    if ai.base_url is not None:
+        cast["api_key"] = ai.base_url
+    client = AsyncOpenAI(**cast)
+    response = await client.chat.completions.create(
+        model=ai.model,
+        messages=prompt,
+    )
+    content = response.choices[0].message.content
+
+    return content