File size: 2,066 Bytes
dccc925
 
 
a43aaf6
dccc925
 
 
 
 
 
 
 
 
 
 
 
a43aaf6
 
 
 
 
 
 
dccc925
 
 
 
 
 
a43aaf6
 
 
 
 
 
 
 
dccc925
 
 
 
 
a43aaf6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dccc925
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
"""Pydantic models for API request/response validation."""

from pydantic import BaseModel
from datetime import datetime


class TaskIDRequest(BaseModel):
    """Request model for task-based endpoints."""
    task_id: int


class SuggestGroupsResponse(BaseModel):
    """Response model for group suggestion endpoint."""
    suggested_groups: list[str]


class ChatMessage(BaseModel):
    """Model for individual chat messages."""
    role: str  # 'user', 'ai', 'system'
    content: str
    created_at: datetime | None = None


class ChatRequest(BaseModel):
    """Request model for chat endpoint."""
    message: str
    task_id: int
    project_title: str
    current_stage: str
    output_mode: str = "standard"
    prompt_group_config: dict | None = None
    custom_system_prompt: str | None = None
    conversation_id: str | None = None  # Optional conversation ID for persistence
    current_group_name: str | None = None
    selected_standards: list[dict] | None = None
    current_alignment_work: str | None = None
    message_history: list[ChatMessage] | None = None  # Sliding window of recent messages


class ChatResponse(BaseModel):
    """Response model for chat endpoint."""
    response: str
    conversation_id: str | None = None  # Return conversation ID for tracking


class ConversationSummary(BaseModel):
    """Summary model for conversation list."""
    id: str
    title: str | None
    project_id: str | None
    created_at: datetime
    updated_at: datetime


class ConversationListResponse(BaseModel):
    """Response model for listing conversations."""
    conversations: list[ConversationSummary]


class ConversationMessagesResponse(BaseModel):
    """Response model for fetching conversation messages."""
    conversation_id: str
    messages: list[ChatMessage]


class GenerateRubricRequest(BaseModel):
    """Request model for rubric generation endpoint."""
    task_id: int
    prompt_groups: dict


class GenerateRubricResponse(BaseModel):
    """Response model for rubric generation endpoint."""
    rubric: dict
    message: str