1530 lines
46 KiB
Python
1530 lines
46 KiB
Python
import hashlib
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import logging
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import uuid
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from django.contrib.auth import get_user_model
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from django.contrib.auth.models import AbstractUser
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from django.db import models
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from core.clients import transport
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from core.lib.notify import raw_sendmsg
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logger = logging.getLogger(__name__)
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SERVICE_CHOICES = (
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("signal", "Signal"),
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("whatsapp", "WhatsApp"),
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("xmpp", "XMPP"),
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("instagram", "Instagram"),
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)
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MBTI_CHOICES = (
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("INTJ", "INTJ - Architect"),
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("INTP", "INTP - Logician"),
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("ENTJ", "ENTJ - Commander"),
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("ENTP", "ENTP - Debater"),
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("INFJ", "INFJ - Advocate"),
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("INFP", "INFP - Mediator"),
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("ENFJ", "ENFJ - Protagonist"),
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("ENFP", "ENFP - Campaigner"),
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("ISTJ", "ISTJ - Logistician"),
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("ISFJ", "ISFJ - Defender"),
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("ESTJ", "ESTJ - Executive"),
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("ESFJ", "ESFJ - Consul"),
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("ISTP", "ISTP - Virtuoso"),
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("ISFP", "ISFP - Adventurer"),
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("ESTP", "ESTP - Entrepreneur"),
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("ESFP", "ESFP - Entertainer"),
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)
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MODEL_CHOICES = (
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("gpt-4o-mini", "GPT 4o Mini"),
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("gpt-4o", "GPT 4o"),
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)
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def _attribute_display_id(kind, *parts):
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"""
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Build a deterministic short display id from object attributes.
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Format:
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- 3 lowercase letters
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- 4 fixed digits
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Example: `kqa1042`
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"""
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raw = "|".join([kind, *[str(part or "") for part in parts]])
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digest = hashlib.sha1(raw.encode("utf-8")).hexdigest()
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n_letters = int(digest[:8], 16)
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letters = []
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for _ in range(3):
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letters.append(chr(ord("a") + (n_letters % 26)))
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n_letters //= 26
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digits = int(digest[8:16], 16) % 10000
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return f"{''.join(letters)}{str(digits).zfill(4)}"
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def get_default_workspace_user_pk():
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"""
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Fallback owner used when adding non-null `user` FKs to existing rows.
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"""
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user_pk = (
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get_user_model().objects.order_by("id").values_list("id", flat=True).first()
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)
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return user_pk or 1
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class User(AbstractUser):
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# Stripe customer ID
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stripe_id = models.CharField(max_length=255, null=True, blank=True)
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customer_id = models.UUIDField(default=uuid.uuid4, null=True, blank=True)
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billing_provider_id = models.CharField(max_length=255, null=True, blank=True)
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email = models.EmailField(unique=True)
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self._original = self
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def get_notification_settings(self):
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return NotificationSettings.objects.get_or_create(user=self)[0]
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def sendmsg(self, *args, **kwargs):
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notification_settings = self.get_notification_settings()
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if notification_settings.ntfy_topic is None:
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# No topic set, so don't send
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return
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else:
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topic = notification_settings.ntfy_topic
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raw_sendmsg(*args, **kwargs, url=notification_settings.ntfy_url, topic=topic)
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class NotificationSettings(models.Model):
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user = models.OneToOneField(User, on_delete=models.CASCADE)
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ntfy_topic = models.CharField(max_length=255, null=True, blank=True)
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ntfy_url = models.CharField(max_length=255, null=True, blank=True)
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def __str__(self):
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return f"Notification settings for {self.user}"
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class Chat(models.Model):
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source_number = models.CharField(max_length=32, null=True, blank=True)
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source_uuid = models.CharField(max_length=255, null=True, blank=True)
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source_name = models.CharField(max_length=255, null=True, blank=True)
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account = models.CharField(max_length=32, null=True, blank=True)
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class AI(models.Model):
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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base_url = models.CharField(max_length=255, null=True, blank=True)
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api_key = models.CharField(max_length=255, null=True, blank=True)
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model = models.CharField(max_length=255, choices=MODEL_CHOICES)
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def __str__(self):
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return f"{self.id} - {self.model}"
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class Person(models.Model):
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id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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name = models.CharField(max_length=255)
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summary = models.TextField(blank=True, null=True)
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profile = models.TextField(blank=True, null=True)
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revealed = models.TextField(blank=True, null=True)
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dislikes = models.TextField(blank=True, null=True)
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likes = models.TextField(blank=True, null=True)
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# -1 (disliked) to +1 (trusted)
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sentiment = models.FloatField(default=0.0)
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timezone = models.CharField(max_length=50, blank=True, null=True)
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last_interaction = models.DateTimeField(blank=True, null=True)
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def __str__(self):
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return self.name
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class PersonIdentifier(models.Model):
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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identifier = models.CharField(max_length=255)
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service = models.CharField(choices=SERVICE_CHOICES, max_length=255)
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person = models.ForeignKey(Person, on_delete=models.CASCADE)
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def __str__(self):
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return f"{self.person} ({self.service})"
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async def send(self, text, attachments=None, metadata=None):
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"""
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Send this contact a text.
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"""
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return await transport.send_message_raw(
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self.service,
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self.identifier,
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text=text,
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attachments=attachments or [],
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metadata=dict(metadata or {}),
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)
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class ChatSession(models.Model):
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"""Represents an ongoing chat session for persisted message history."""
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id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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identifier = models.ForeignKey(PersonIdentifier, on_delete=models.CASCADE)
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last_interaction = models.DateTimeField(blank=True, null=True)
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summary = models.TextField(blank=True, null=True)
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def __str__(self):
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return f"{self.identifier.person.name} ({self.identifier.service})"
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class QueuedMessage(models.Model):
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"""Stores individual messages linked to a ChatSession."""
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
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session = models.ForeignKey(ChatSession, on_delete=models.CASCADE)
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manipulation = models.ForeignKey("core.Manipulation", on_delete=models.CASCADE)
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ts = models.BigIntegerField() # Use Unix timestamp
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sender_uuid = models.CharField(max_length=255, blank=True, null=True) # Signal UUID
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text = models.TextField(blank=True, null=True)
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custom_author = models.CharField(max_length=255, blank=True, null=True)
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class Meta:
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ordering = ["ts"]
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class Message(models.Model):
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"""Stores individual messages linked to a ChatSession."""
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
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session = models.ForeignKey(ChatSession, on_delete=models.CASCADE)
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ts = models.BigIntegerField() # Use Unix timestamp
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sender_uuid = models.CharField(max_length=255, blank=True, null=True) # Signal UUID
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text = models.TextField(blank=True, null=True)
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custom_author = models.CharField(max_length=255, blank=True, null=True)
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delivered_ts = models.BigIntegerField(
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null=True,
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blank=True,
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help_text="Delivery timestamp (unix ms) when known.",
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)
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read_ts = models.BigIntegerField(
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null=True,
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blank=True,
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help_text="Read timestamp (unix ms) when known.",
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)
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read_source_service = models.CharField(
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max_length=255,
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choices=SERVICE_CHOICES,
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null=True,
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blank=True,
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help_text="Service that reported the read receipt.",
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)
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read_by_identifier = models.CharField(
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max_length=255,
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blank=True,
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null=True,
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help_text="Identifier that read this message (service-native value).",
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)
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receipt_payload = models.JSONField(
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default=dict,
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blank=True,
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help_text="Raw normalized delivery/read receipt metadata.",
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)
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class Meta:
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ordering = ["ts"]
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class Group(models.Model):
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id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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name = models.CharField(max_length=255)
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people = models.ManyToManyField(Person)
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def __str__(self):
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return self.name
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class Persona(models.Model):
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id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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# Core Identity
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# id = models.UUIDField(default=uuid.uuid4, editable=False, unique=True)
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alias = models.CharField(
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max_length=255, blank=True, null=True
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) # Preferred name or persona alias
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mbti = models.CharField(max_length=255, choices=MBTI_CHOICES, blank=True, null=True)
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# -1: assertive, +1: assertive
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mbti_identity = models.FloatField(default=0.0)
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# Key Behavioral Traits for Chat Responses
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inner_story = models.TextField(
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blank=True, null=True
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) # Internal philosophy & worldview
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core_values = models.TextField(
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blank=True, null=True
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) # What drives their decisions & interactions
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communication_style = models.TextField(
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blank=True, null=True
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) # How they speak & interact
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flirting_style = models.TextField(
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blank=True, null=True
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) # How they express attraction
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humor_style = models.CharField(
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max_length=50,
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choices=[
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("dry", "Dry"),
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("dark", "Dark"),
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("playful", "Playful"),
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("teasing", "Teasing"),
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("sarcastic", "Sarcastic"),
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("intellectual", "Intellectual"),
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],
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blank=True,
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null=True,
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) # Defines their approach to humor
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# Conversational Preferences
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likes = models.TextField(blank=True, null=True) # Topics they enjoy discussing
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dislikes = models.TextField(blank=True, null=True) # Topics or behaviors they avoid
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tone = models.CharField(
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max_length=50,
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choices=[
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("formal", "Formal"),
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("casual", "Casual"),
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("witty", "Witty"),
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("serious", "Serious"),
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("warm", "Warm"),
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("detached", "Detached"),
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],
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blank=True,
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null=True,
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) # Defines preferred conversational tone
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# Emotional & Strategic Interaction
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response_tactics = models.TextField(
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blank=True, null=True
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) # How they handle gaslighting, guilt-tripping, etc.
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persuasion_tactics = models.TextField(
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blank=True, null=True
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) # How they convince others
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boundaries = models.TextField(
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blank=True, null=True
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) # What they refuse to tolerate in conversations
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trust = models.IntegerField(
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default=50
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) # Percentage of initial trust given in interactions
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adaptability = models.IntegerField(
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default=70
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) # How easily they shift tones or styles
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def __str__(self):
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return f"{self.alias} ({self.mbti}) [{self.tone} {self.humor_style}]"
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class Manipulation(models.Model):
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id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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name = models.CharField(max_length=255)
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group = models.ForeignKey(Group, on_delete=models.CASCADE)
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# self = models.ForeignKey(Group, on_delete=models.CASCADE)
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ai = models.ForeignKey(AI, on_delete=models.CASCADE)
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persona = models.ForeignKey(Persona, on_delete=models.CASCADE)
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enabled = models.BooleanField(default=False)
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filter_enabled = models.BooleanField(default=False)
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mode = models.CharField(
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max_length=50,
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choices=[
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("active", "Send replies to messages"),
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("instant", "Click link to send reply"),
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("prospective", "Click link to open page"),
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("notify", "Send notification of ideal reply only"),
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("mutate", "Change messages sent on XMPP using the persona"),
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("silent", "Do not generate or send replies"),
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],
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blank=True,
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null=True,
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)
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def __str__(self):
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return f"{self.name} [{self.group}]"
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class WorkspaceConversation(models.Model):
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"""
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Canonical conversation workspace used by the UI.
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This is intentionally distinct from ChatSession:
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- ChatSession is operational history for existing manip/reply flows.
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- WorkspaceConversation is analysis/workspace context for AI tooling.
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TODO:
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Identify conversation "active periods" dynamically using observed mutual
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response cadence (global + per-person baseline), rather than fixed windows.
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"""
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class StabilityState(models.TextChoices):
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CALIBRATING = "calibrating", "Calibrating"
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STABLE = "stable", "Stable"
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WATCH = "watch", "Watch"
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FRAGILE = "fragile", "Fragile"
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id = models.UUIDField(
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primary_key=True,
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default=uuid.uuid4,
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editable=False,
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help_text="Stable identifier for this workspace conversation.",
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)
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user = models.ForeignKey(
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User,
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on_delete=models.CASCADE,
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related_name="workspace_conversations",
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help_text="Owner of this conversation workspace.",
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)
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title = models.CharField(
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max_length=255,
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blank=True,
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default="",
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help_text="Human-friendly label shown in the workspace sidebar.",
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)
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platform_type = models.CharField(
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max_length=255,
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choices=SERVICE_CHOICES,
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default="signal",
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help_text="Primary transport for this conversation (reuses SERVICE_CHOICES).",
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)
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platform_thread_id = models.CharField(
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max_length=255,
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blank=True,
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default="",
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help_text="Platform-native thread/group identifier when available.",
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)
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participants = models.ManyToManyField(
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Person,
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related_name="workspace_conversations",
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blank=True,
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help_text="Resolved people participating in this conversation.",
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)
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participant_feedback = models.JSONField(
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default=dict,
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blank=True,
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help_text=(
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"Per-person interaction feedback map keyed by person UUID. "
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"Example: {'<person_uuid>': {'state': 'withdrawing', 'note': 'short replies'}}."
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),
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)
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last_event_ts = models.BigIntegerField(
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null=True,
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blank=True,
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help_text="Latest message timestamp (unix ms) currently known.",
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)
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last_ai_run_at = models.DateTimeField(
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null=True,
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blank=True,
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help_text="Last time any AIRequest finished for this conversation.",
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)
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stability_state = models.CharField(
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max_length=32,
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choices=StabilityState.choices,
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default=StabilityState.CALIBRATING,
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help_text="UI label for relationship stability, baseline-aware.",
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)
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stability_score = models.FloatField(
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null=True,
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blank=True,
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help_text="Relationship stability score (0-100). Null while calibrating.",
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)
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stability_confidence = models.FloatField(
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default=0.0,
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help_text="Confidence in stability_score (0.0-1.0).",
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)
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stability_sample_messages = models.PositiveIntegerField(
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default=0,
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help_text="How many messages were used to compute stability.",
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)
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stability_sample_days = models.PositiveIntegerField(
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default=0,
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help_text="How many calendar days of data were used for stability.",
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)
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stability_last_computed_at = models.DateTimeField(
|
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null=True,
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blank=True,
|
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help_text="Timestamp of the latest stability computation.",
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)
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commitment_outbound_score = models.FloatField(
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null=True,
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blank=True,
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help_text=(
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"Estimated commitment score for user -> counterpart direction (0-100). "
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"Null while calibrating."
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),
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)
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commitment_inbound_score = models.FloatField(
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null=True,
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blank=True,
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help_text=(
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"Estimated commitment score for counterpart -> user direction (0-100). "
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"Null while calibrating."
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),
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)
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commitment_confidence = models.FloatField(
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default=0.0,
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help_text="Confidence in commitment scores (0.0-1.0).",
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)
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commitment_last_computed_at = models.DateTimeField(
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null=True,
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blank=True,
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help_text="Timestamp of the latest commitment computation.",
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)
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created_at = models.DateTimeField(
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auto_now_add=True,
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help_text="Row creation timestamp.",
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)
|
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def __str__(self):
|
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return self.title or f"{self.platform_type}:{self.id}"
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|
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|
|
class WorkspaceMetricSnapshot(models.Model):
|
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"""
|
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Historical snapshots of workspace metrics for trend visualisation.
|
|
"""
|
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|
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conversation = models.ForeignKey(
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WorkspaceConversation,
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on_delete=models.CASCADE,
|
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related_name="metric_snapshots",
|
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help_text="Workspace conversation this metric snapshot belongs to.",
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)
|
|
computed_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
db_index=True,
|
|
help_text="When this snapshot was persisted.",
|
|
)
|
|
source_event_ts = models.BigIntegerField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Latest message timestamp used during this metric computation.",
|
|
)
|
|
stability_state = models.CharField(
|
|
max_length=32,
|
|
choices=WorkspaceConversation.StabilityState.choices,
|
|
default=WorkspaceConversation.StabilityState.CALIBRATING,
|
|
help_text="Stability state at computation time.",
|
|
)
|
|
stability_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Stability score (0-100).",
|
|
)
|
|
stability_confidence = models.FloatField(
|
|
default=0.0,
|
|
help_text="Confidence in stability score (0.0-1.0).",
|
|
)
|
|
stability_sample_messages = models.PositiveIntegerField(
|
|
default=0,
|
|
help_text="How many messages were in the sampled window.",
|
|
)
|
|
stability_sample_days = models.PositiveIntegerField(
|
|
default=0,
|
|
help_text="How many days were in the sampled window.",
|
|
)
|
|
commitment_inbound_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Commitment estimate counterpart -> user (0-100).",
|
|
)
|
|
commitment_outbound_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Commitment estimate user -> counterpart (0-100).",
|
|
)
|
|
commitment_confidence = models.FloatField(
|
|
default=0.0,
|
|
help_text="Confidence in commitment scores (0.0-1.0).",
|
|
)
|
|
inbound_messages = models.PositiveIntegerField(
|
|
default=0,
|
|
help_text="Inbound message count in the sampled window.",
|
|
)
|
|
outbound_messages = models.PositiveIntegerField(
|
|
default=0,
|
|
help_text="Outbound message count in the sampled window.",
|
|
)
|
|
reciprocity_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Balance component used for stability.",
|
|
)
|
|
continuity_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Continuity component used for stability.",
|
|
)
|
|
response_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Response-time component used for stability.",
|
|
)
|
|
volatility_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Volatility component used for stability.",
|
|
)
|
|
inbound_response_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Inbound response-lag score used for commitment.",
|
|
)
|
|
outbound_response_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Outbound response-lag score used for commitment.",
|
|
)
|
|
balance_inbound_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Inbound balance score used for commitment.",
|
|
)
|
|
balance_outbound_score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Outbound balance score used for commitment.",
|
|
)
|
|
|
|
class Meta:
|
|
ordering = ("-computed_at",)
|
|
indexes = [
|
|
models.Index(fields=["conversation", "computed_at"]),
|
|
]
|
|
|
|
def __str__(self):
|
|
return f"Metrics {self.conversation_id} @ {self.computed_at.isoformat()}"
|
|
|
|
|
|
class MessageEvent(models.Model):
|
|
"""
|
|
Normalized message event used by workspace timeline and AI selection windows.
|
|
"""
|
|
|
|
SOURCE_SYSTEM_CHOICES = (
|
|
*SERVICE_CHOICES,
|
|
("workspace", "Workspace"),
|
|
("ai", "AI"),
|
|
)
|
|
|
|
DIRECTION_CHOICES = (
|
|
("in", "Inbound"),
|
|
("out", "Outbound"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this message event.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="workspace_message_events",
|
|
default=get_default_workspace_user_pk,
|
|
help_text=(
|
|
"Owner of this message event row "
|
|
"(required for restricted CRUD filtering)."
|
|
),
|
|
)
|
|
conversation = models.ForeignKey(
|
|
WorkspaceConversation,
|
|
on_delete=models.CASCADE,
|
|
related_name="events",
|
|
help_text=(
|
|
"AI workspace conversation this message belongs to. "
|
|
"This is not the transport-native thread object."
|
|
),
|
|
)
|
|
source_system = models.CharField(
|
|
max_length=32,
|
|
choices=SOURCE_SYSTEM_CHOICES,
|
|
default="signal",
|
|
help_text="System that produced this event record.",
|
|
)
|
|
ts = models.BigIntegerField(
|
|
db_index=True,
|
|
help_text="Event timestamp (unix ms) as reported by source_system.",
|
|
)
|
|
direction = models.CharField(
|
|
max_length=8,
|
|
choices=DIRECTION_CHOICES,
|
|
help_text=(
|
|
"Direction relative to workspace owner: "
|
|
"'in' from counterpart(s), 'out' from user/bot side."
|
|
),
|
|
)
|
|
sender_uuid = models.CharField(
|
|
max_length=255,
|
|
blank=True,
|
|
default="",
|
|
db_index=True,
|
|
help_text="Source sender UUID/identifier for correlation.",
|
|
)
|
|
text = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Normalized message text body.",
|
|
)
|
|
attachments = models.JSONField(
|
|
default=list,
|
|
blank=True,
|
|
help_text="Attachment metadata list associated with this message.",
|
|
)
|
|
raw_payload_ref = models.JSONField(
|
|
default=dict,
|
|
blank=True,
|
|
help_text="Raw source payload or reference pointer for audit/debug.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
|
|
class Meta:
|
|
ordering = ["ts"]
|
|
|
|
|
|
class AIRequest(models.Model):
|
|
"""
|
|
User-initiated AI run against a selected message window.
|
|
|
|
TODO:
|
|
Resolve message window dynamically based on available model context budget
|
|
and content size (chunk-aware), not fixed hard caps.
|
|
"""
|
|
|
|
STATUS_CHOICES = (
|
|
("queued", "Queued"),
|
|
("running", "Running"),
|
|
("done", "Done"),
|
|
("failed", "Failed"),
|
|
)
|
|
|
|
OPERATION_CHOICES = (
|
|
("summarise", "Summarise"),
|
|
("draft_reply", "Draft Reply"),
|
|
("critique", "Critique"),
|
|
("repair", "Repair"),
|
|
("extract_patterns", "Extract Patterns"),
|
|
("memory_propose", "Memory Propose"),
|
|
("state_detect", "State Detect"),
|
|
("rewrite_style", "Rewrite Style"),
|
|
("send_readiness", "Send Readiness"),
|
|
("timeline_brief", "Timeline Brief"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this AI request.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="workspace_ai_requests",
|
|
help_text="User who initiated this request.",
|
|
)
|
|
conversation = models.ForeignKey(
|
|
WorkspaceConversation,
|
|
on_delete=models.CASCADE,
|
|
related_name="ai_requests",
|
|
help_text="Conversation analyzed by this request.",
|
|
)
|
|
window_spec = models.JSONField(
|
|
default=dict,
|
|
help_text=(
|
|
"Selection spec (last_n/since_ts/between_ts/include_attachments/etc). "
|
|
"Should be dynamically resolved by available context/token budget."
|
|
),
|
|
)
|
|
message_ids = models.JSONField(
|
|
default=list,
|
|
blank=True,
|
|
help_text="Resolved ordered MessageEvent IDs included in this run.",
|
|
)
|
|
user_notes = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Optional user intent/context notes injected into the prompt.",
|
|
)
|
|
operation = models.CharField(
|
|
max_length=32,
|
|
choices=OPERATION_CHOICES,
|
|
help_text="Requested AI operation type.",
|
|
)
|
|
policy_snapshot = models.JSONField(
|
|
default=dict,
|
|
blank=True,
|
|
help_text=(
|
|
"Effective manipulation/policy values captured at request time, "
|
|
"so results remain auditable even if policies change later."
|
|
),
|
|
)
|
|
status = models.CharField(
|
|
max_length=16,
|
|
choices=STATUS_CHOICES,
|
|
default="queued",
|
|
help_text="Worker lifecycle state for this request.",
|
|
)
|
|
error = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Error details when status='failed'.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Request creation timestamp.",
|
|
)
|
|
started_at = models.DateTimeField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Worker start timestamp.",
|
|
)
|
|
finished_at = models.DateTimeField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Worker completion timestamp.",
|
|
)
|
|
|
|
|
|
class AIResult(models.Model):
|
|
"""
|
|
Persisted output payload for a completed AIRequest.
|
|
"""
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this AI result payload.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="workspace_ai_results",
|
|
default=get_default_workspace_user_pk,
|
|
help_text=(
|
|
"Owner of this AI result row " "(required for restricted CRUD filtering)."
|
|
),
|
|
)
|
|
ai_request = models.OneToOneField(
|
|
AIRequest,
|
|
on_delete=models.CASCADE,
|
|
related_name="result",
|
|
help_text="Owning AI request for this result.",
|
|
)
|
|
working_summary = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Conversation working summary generated for this run.",
|
|
)
|
|
draft_replies = models.JSONField(
|
|
default=list,
|
|
blank=True,
|
|
help_text="Draft reply candidates, typically with tone and rationale.",
|
|
)
|
|
interaction_signals = models.JSONField(
|
|
default=list,
|
|
blank=True,
|
|
help_text=(
|
|
"Structured positive/neutral/risk signals inferred for this run. "
|
|
"Example item: {'label':'repair_attempt','valence':'positive',"
|
|
"'message_event_ids':[...]}."
|
|
),
|
|
)
|
|
memory_proposals = models.JSONField(
|
|
default=list,
|
|
blank=True,
|
|
help_text="Proposed memory entries, typically requiring user approval.",
|
|
)
|
|
citations = models.JSONField(
|
|
default=list,
|
|
blank=True,
|
|
help_text="Referenced MessageEvent IDs supporting generated claims.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Result creation timestamp.",
|
|
)
|
|
|
|
|
|
class MemoryItem(models.Model):
|
|
"""
|
|
Durable/semi-durable memory used to provide continuity across AI runs.
|
|
"""
|
|
|
|
MEMORY_KIND_CHOICES = (
|
|
("fact", "Durable Fact/Preference"),
|
|
("state", "Relationship State"),
|
|
("summary", "Conversation Working Summary"),
|
|
)
|
|
|
|
STATUS_CHOICES = (
|
|
("proposed", "Proposed"),
|
|
("active", "Active"),
|
|
("deprecated", "Deprecated"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this memory item.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="workspace_memory_items",
|
|
help_text="Owner of the memory item.",
|
|
)
|
|
conversation = models.ForeignKey(
|
|
WorkspaceConversation,
|
|
on_delete=models.CASCADE,
|
|
related_name="memory_items",
|
|
help_text="Conversation scope this memory item belongs to.",
|
|
)
|
|
memory_kind = models.CharField(
|
|
max_length=16,
|
|
choices=MEMORY_KIND_CHOICES,
|
|
help_text="Memory kind: fact/state/summary.",
|
|
)
|
|
status = models.CharField(
|
|
max_length=16,
|
|
choices=STATUS_CHOICES,
|
|
default="proposed",
|
|
help_text="Lifecycle state, especially for approval-gated memories.",
|
|
)
|
|
content = models.JSONField(
|
|
default=dict,
|
|
blank=True,
|
|
help_text="Structured memory payload (schema can evolve by type).",
|
|
)
|
|
source_request = models.ForeignKey(
|
|
AIRequest,
|
|
on_delete=models.SET_NULL,
|
|
null=True,
|
|
blank=True,
|
|
help_text="AIRequest that originated this memory, if any.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
updated_at = models.DateTimeField(
|
|
auto_now=True,
|
|
help_text="Last update timestamp.",
|
|
)
|
|
|
|
|
|
class AIResultSignal(models.Model):
|
|
"""
|
|
Message-linked evidence signal produced by an AIResult.
|
|
|
|
This lets the UI point to concrete messages (good or bad) rather than
|
|
generic flags.
|
|
"""
|
|
|
|
VALENCE_CHOICES = (
|
|
("positive", "Positive"),
|
|
("neutral", "Neutral"),
|
|
("risk", "Risk"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this result signal.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="workspace_ai_result_signals",
|
|
help_text="Owner of this signal row (required for restricted CRUD filtering).",
|
|
)
|
|
ai_result = models.ForeignKey(
|
|
AIResult,
|
|
on_delete=models.CASCADE,
|
|
related_name="signals",
|
|
help_text="AI result that produced this signal.",
|
|
)
|
|
message_event = models.ForeignKey(
|
|
MessageEvent,
|
|
on_delete=models.SET_NULL,
|
|
null=True,
|
|
blank=True,
|
|
related_name="ai_signals",
|
|
help_text="Optional specific message event referenced by this signal.",
|
|
)
|
|
label = models.CharField(
|
|
max_length=128,
|
|
help_text="Short signal label, e.g. 'withdrawing', 'repair_attempt'.",
|
|
)
|
|
valence = models.CharField(
|
|
max_length=16,
|
|
choices=VALENCE_CHOICES,
|
|
default="neutral",
|
|
help_text="Signal polarity: positive, neutral, or risk.",
|
|
)
|
|
score = models.FloatField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Optional model confidence/strength (0.0-1.0).",
|
|
)
|
|
rationale = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Human-readable explanation for this signal.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
|
|
|
|
class PatternMitigationPlan(models.Model):
|
|
"""
|
|
Stores a mitigation plan generated from extracted interaction patterns.
|
|
|
|
The plan is the parent container for rules, games, mitigation chat,
|
|
and artifact exports.
|
|
"""
|
|
|
|
STATUS_CHOICES = (
|
|
("draft", "Draft"),
|
|
("active", "Active"),
|
|
("archived", "Archived"),
|
|
)
|
|
|
|
CREATION_MODE_CHOICES = (
|
|
("auto", "Auto"),
|
|
("guided", "Guided"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this mitigation plan.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="pattern_mitigation_plans",
|
|
help_text="Owner of this plan.",
|
|
)
|
|
conversation = models.ForeignKey(
|
|
WorkspaceConversation,
|
|
on_delete=models.CASCADE,
|
|
related_name="mitigation_plans",
|
|
help_text="Workspace conversation this plan belongs to.",
|
|
)
|
|
source_ai_result = models.ForeignKey(
|
|
AIResult,
|
|
on_delete=models.SET_NULL,
|
|
null=True,
|
|
blank=True,
|
|
related_name="mitigation_plans",
|
|
help_text="AI result that initiated this plan, if any.",
|
|
)
|
|
title = models.CharField(
|
|
max_length=255,
|
|
blank=True,
|
|
default="",
|
|
help_text="Display title for this plan.",
|
|
)
|
|
objective = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="High-level objective this plan is meant to achieve.",
|
|
)
|
|
fundamental_items = models.JSONField(
|
|
default=list,
|
|
blank=True,
|
|
help_text="Foundational agreed items/principles for this plan.",
|
|
)
|
|
creation_mode = models.CharField(
|
|
max_length=16,
|
|
choices=CREATION_MODE_CHOICES,
|
|
default="auto",
|
|
help_text="Whether plan artifacts were generated automatically or user-guided.",
|
|
)
|
|
status = models.CharField(
|
|
max_length=16,
|
|
choices=STATUS_CHOICES,
|
|
default="draft",
|
|
help_text="Lifecycle status of the plan.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
updated_at = models.DateTimeField(
|
|
auto_now=True,
|
|
help_text="Last update timestamp.",
|
|
)
|
|
|
|
|
|
class PatternMitigationRule(models.Model):
|
|
"""
|
|
Rule artifact attached to a mitigation plan.
|
|
"""
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this rule.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="pattern_mitigation_rules",
|
|
help_text="Owner of this rule.",
|
|
)
|
|
plan = models.ForeignKey(
|
|
PatternMitigationPlan,
|
|
on_delete=models.CASCADE,
|
|
related_name="rules",
|
|
help_text="Parent mitigation plan.",
|
|
)
|
|
title = models.CharField(
|
|
max_length=255,
|
|
help_text="Rule title.",
|
|
)
|
|
content = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Rule definition/details.",
|
|
)
|
|
enabled = models.BooleanField(
|
|
default=True,
|
|
help_text="Whether this rule is currently enabled.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
|
|
@property
|
|
def display_id(self):
|
|
return _attribute_display_id(
|
|
"rule",
|
|
self.plan_id,
|
|
self.title,
|
|
self.content,
|
|
self.enabled,
|
|
)
|
|
|
|
|
|
class PatternMitigationGame(models.Model):
|
|
"""
|
|
Game artifact attached to a mitigation plan.
|
|
"""
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this game.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="pattern_mitigation_games",
|
|
help_text="Owner of this game.",
|
|
)
|
|
plan = models.ForeignKey(
|
|
PatternMitigationPlan,
|
|
on_delete=models.CASCADE,
|
|
related_name="games",
|
|
help_text="Parent mitigation plan.",
|
|
)
|
|
title = models.CharField(
|
|
max_length=255,
|
|
help_text="Game title.",
|
|
)
|
|
instructions = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Gameplay/instruction text.",
|
|
)
|
|
enabled = models.BooleanField(
|
|
default=True,
|
|
help_text="Whether this game is currently enabled.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
|
|
@property
|
|
def display_id(self):
|
|
return _attribute_display_id(
|
|
"game",
|
|
self.plan_id,
|
|
self.title,
|
|
self.instructions,
|
|
self.enabled,
|
|
)
|
|
|
|
|
|
class PatternMitigationCorrection(models.Model):
|
|
"""
|
|
Shared clarification artifact used to prevent circular misunderstandings.
|
|
"""
|
|
|
|
PERSPECTIVE_CHOICES = (
|
|
("third_person", "Third Person"),
|
|
("second_person", "Second Person"),
|
|
("first_person", "First Person"),
|
|
)
|
|
SHARE_TARGET_CHOICES = (
|
|
("self", "Self"),
|
|
("other", "Other Party"),
|
|
("both", "Both Parties"),
|
|
)
|
|
LANGUAGE_STYLE_CHOICES = (
|
|
("same", "Same Language"),
|
|
("adapted", "Adapted Language"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this correction item.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="pattern_mitigation_corrections",
|
|
help_text="Owner of this correction item.",
|
|
)
|
|
plan = models.ForeignKey(
|
|
PatternMitigationPlan,
|
|
on_delete=models.CASCADE,
|
|
related_name="corrections",
|
|
help_text="Parent mitigation plan.",
|
|
)
|
|
title = models.CharField(
|
|
max_length=255,
|
|
help_text="Correction title. Example: 'Assumption vs intent mismatch'.",
|
|
)
|
|
clarification = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text=(
|
|
"Joint clarification text intended to reduce interpretation drift. "
|
|
'Example: \'When you say "you ignore me", I hear fear of '
|
|
"disconnection, not blame.'"
|
|
),
|
|
)
|
|
source_phrase = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text=(
|
|
"Situation/message fragment this correction responds to. "
|
|
"Example: 'she says: \"you never listen\"' or "
|
|
"'you say: \"you are dismissing me\"'."
|
|
),
|
|
)
|
|
perspective = models.CharField(
|
|
max_length=32,
|
|
choices=PERSPECTIVE_CHOICES,
|
|
default="third_person",
|
|
help_text=(
|
|
"Narrative perspective used when framing this correction. "
|
|
"Examples: third person ('she says'), second person ('you say'), "
|
|
"first person ('I say')."
|
|
),
|
|
)
|
|
share_target = models.CharField(
|
|
max_length=16,
|
|
choices=SHARE_TARGET_CHOICES,
|
|
default="both",
|
|
help_text=(
|
|
"Who this insight is intended to be shared with. "
|
|
"Example: self, other, or both."
|
|
),
|
|
)
|
|
language_style = models.CharField(
|
|
max_length=16,
|
|
choices=LANGUAGE_STYLE_CHOICES,
|
|
default="adapted",
|
|
help_text=(
|
|
"Whether to keep wording identical or adapt it per recipient. "
|
|
"Example: same text for both parties, or softened/adapted wording "
|
|
"for recipient."
|
|
),
|
|
)
|
|
enabled = models.BooleanField(
|
|
default=True,
|
|
help_text="Whether this correction item is currently enabled.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
|
|
@property
|
|
def display_id(self):
|
|
return _attribute_display_id(
|
|
"correction",
|
|
self.plan_id,
|
|
self.title,
|
|
self.source_phrase,
|
|
self.clarification,
|
|
self.perspective,
|
|
self.share_target,
|
|
self.language_style,
|
|
self.enabled,
|
|
)
|
|
|
|
|
|
class PatternMitigationMessage(models.Model):
|
|
"""
|
|
Conversation log between user and AI within a mitigation plan.
|
|
"""
|
|
|
|
ROLE_CHOICES = (
|
|
("user", "User"),
|
|
("assistant", "Assistant"),
|
|
("system", "System"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this mitigation message.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="pattern_mitigation_messages",
|
|
help_text="Owner of this message.",
|
|
)
|
|
plan = models.ForeignKey(
|
|
PatternMitigationPlan,
|
|
on_delete=models.CASCADE,
|
|
related_name="messages",
|
|
help_text="Parent mitigation plan.",
|
|
)
|
|
role = models.CharField(
|
|
max_length=16,
|
|
choices=ROLE_CHOICES,
|
|
help_text="Message speaker role.",
|
|
)
|
|
text = models.TextField(
|
|
help_text="Message content.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
|
|
class Meta:
|
|
ordering = ["created_at"]
|
|
|
|
|
|
class PatternMitigationAutoSettings(models.Model):
|
|
"""
|
|
Automation controls for mitigation analysis in a workspace conversation.
|
|
|
|
These settings let the user enable periodic/triggered checks for pattern
|
|
violations, optional correction creation, and optional notifications.
|
|
"""
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this automation settings row.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="pattern_mitigation_auto_settings",
|
|
help_text="Owner of this automation settings row.",
|
|
)
|
|
conversation = models.OneToOneField(
|
|
WorkspaceConversation,
|
|
on_delete=models.CASCADE,
|
|
related_name="mitigation_auto_settings",
|
|
help_text="Conversation scope this automation config applies to.",
|
|
)
|
|
enabled = models.BooleanField(
|
|
default=False,
|
|
help_text="Master toggle for mitigation automation in this conversation.",
|
|
)
|
|
auto_pattern_recognition = models.BooleanField(
|
|
default=True,
|
|
help_text="Run pattern/violation recognition automatically when triggered.",
|
|
)
|
|
auto_create_mitigation = models.BooleanField(
|
|
default=False,
|
|
help_text="Create a baseline mitigation plan automatically when missing.",
|
|
)
|
|
auto_create_corrections = models.BooleanField(
|
|
default=False,
|
|
help_text="Create correction items automatically from detected violations.",
|
|
)
|
|
auto_notify_enabled = models.BooleanField(
|
|
default=False,
|
|
help_text="Send NTFY notifications when new violations are detected.",
|
|
)
|
|
ntfy_topic_override = models.CharField(
|
|
max_length=255,
|
|
null=True,
|
|
blank=True,
|
|
help_text="Optional NTFY topic override for automation notifications.",
|
|
)
|
|
ntfy_url_override = models.CharField(
|
|
max_length=255,
|
|
null=True,
|
|
blank=True,
|
|
help_text="Optional NTFY server URL override for automation notifications.",
|
|
)
|
|
sample_message_window = models.PositiveIntegerField(
|
|
default=40,
|
|
help_text="How many recent messages to include in each automation check.",
|
|
)
|
|
check_cooldown_seconds = models.PositiveIntegerField(
|
|
default=300,
|
|
help_text="Minimum seconds between automatic checks for this conversation.",
|
|
)
|
|
last_checked_event_ts = models.BigIntegerField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Latest source message timestamp included in automation checks.",
|
|
)
|
|
last_run_at = models.DateTimeField(
|
|
null=True,
|
|
blank=True,
|
|
help_text="Timestamp when automation last ran.",
|
|
)
|
|
last_result_summary = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Human-readable summary from the last automation run.",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
updated_at = models.DateTimeField(
|
|
auto_now=True,
|
|
help_text="Last update timestamp.",
|
|
)
|
|
|
|
def __str__(self):
|
|
return f"Auto settings for {self.conversation_id}"
|
|
|
|
|
|
class PatternArtifactExport(models.Model):
|
|
"""
|
|
Export protocol record for rules/games/rulebooks generated from a plan.
|
|
"""
|
|
|
|
ARTIFACT_TYPE_CHOICES = (
|
|
("rulebook", "Rulebook"),
|
|
("rules", "Rules"),
|
|
("games", "Games"),
|
|
("corrections", "Corrections"),
|
|
)
|
|
|
|
FORMAT_CHOICES = (
|
|
("markdown", "Markdown"),
|
|
("json", "JSON"),
|
|
("text", "Text"),
|
|
)
|
|
|
|
id = models.UUIDField(
|
|
primary_key=True,
|
|
default=uuid.uuid4,
|
|
editable=False,
|
|
help_text="Stable identifier for this export artifact.",
|
|
)
|
|
user = models.ForeignKey(
|
|
User,
|
|
on_delete=models.CASCADE,
|
|
related_name="pattern_artifact_exports",
|
|
help_text="Owner of this export artifact.",
|
|
)
|
|
plan = models.ForeignKey(
|
|
PatternMitigationPlan,
|
|
on_delete=models.CASCADE,
|
|
related_name="exports",
|
|
help_text="Source mitigation plan.",
|
|
)
|
|
artifact_type = models.CharField(
|
|
max_length=32,
|
|
choices=ARTIFACT_TYPE_CHOICES,
|
|
help_text="Artifact category being exported.",
|
|
)
|
|
export_format = models.CharField(
|
|
max_length=16,
|
|
choices=FORMAT_CHOICES,
|
|
default="markdown",
|
|
help_text="Serialized output format.",
|
|
)
|
|
protocol_version = models.CharField(
|
|
max_length=32,
|
|
default="artifact-v1",
|
|
help_text="Artifact export protocol version.",
|
|
)
|
|
payload = models.TextField(
|
|
blank=True,
|
|
default="",
|
|
help_text="Serialized artifact body/content.",
|
|
)
|
|
meta = models.JSONField(
|
|
default=dict,
|
|
blank=True,
|
|
help_text="Additional export metadata (counts, hints, source IDs).",
|
|
)
|
|
created_at = models.DateTimeField(
|
|
auto_now_add=True,
|
|
help_text="Row creation timestamp.",
|
|
)
|
|
|
|
|
|
# class Perms(models.Model):
|
|
# class Meta:
|
|
# permissions = (
|
|
# ("bypass_hashing", "Can bypass field hashing"), #
|
|
# ("bypass_blacklist", "Can bypass the blacklist"), #
|
|
# ("bypass_encryption", "Can bypass field encryption"), #
|
|
# ("bypass_obfuscation", "Can bypass field obfuscation"), #
|
|
# ("bypass_delay", "Can bypass data delay"), #
|
|
# ("bypass_randomisation", "Can bypass data randomisation"), #
|
|
# ("post_irc", "Can post to IRC"),
|
|
# ("post_discord", "Can post to Discord"),
|
|
# ("query_search", "Can search with query strings"), #
|
|
# ("use_insights", "Can use the Insights page"),
|
|
# ("index_int", "Can use the internal index"),
|
|
# ("index_meta", "Can use the meta index"),
|
|
# ("restricted_sources", "Can access restricted sources"),
|
|
# )
|