mirror of
https://github.com/computerim/impactflow-discovery.git
synced 2026-08-27 05:00:37 +00:00
Joel Salmon
33674f92f4
Close the remaining Phase 1 DoD gaps and reconcile the browser flow with the auth layer. Goals (5 -> 7 prompts): - Add near-term (6-12mo) and long-term (3-5yr) goal prompts; collect raw text on the conversation and store AI-articulated goal summaries on the profile. Extractor articulates the person's own stated goals (mirror, not compass) and never fabricates. Alembic 003 adds the four columns. Cookie-based browser sessions (fixes frontend<->auth desync): - OAuth callback now sets httpOnly session cookies and redirects into the app instead of returning JSON. get_current_user gains a cookie fallback (X-API-Key -> Bearer -> cookie). refresh/logout read the refresh cookie and set/clear cookies. New shared auth.js (authedFetch) sends cookies and silently refreshes on 401. Static pages drop the bogus user_id and call the correct /me endpoints. Profile editing (read/edit/affirm): - PATCH /discovery/profile/me edits the prose (Ikigai summaries, overlap narrative, goals); owner-scoped, partial update, 409 when locked. Edit mode in profile.html with Save/Cancel. Also: bump default model to claude-sonnet-4-6, align ports to 8011 (OAuth redirect, CORS), add COOKIE_SECURE/POST_LOGIN_REDIRECT config, and refresh the README to match the shipped behavior. Tests: 33 passing (added cookie-auth, profile-edit, goal-extraction cases; factored a shared app_client fixture into conftest.py). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
88 lines
2.4 KiB
Python
88 lines
2.4 KiB
Python
"""Pydantic request/response models for the discovery API."""
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from datetime import datetime
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from typing import Optional
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from pydantic import BaseModel
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class StartResponse(BaseModel):
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conversation_id: str
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class RespondRequest(BaseModel):
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prompt_alive: str = ""
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prompt_friction: str = ""
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prompt_pull: str = ""
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prompt_recognition: str = ""
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prompt_future: str = ""
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prompt_goals_short: str = ""
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prompt_goals_long: str = ""
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class RespondResponse(BaseModel):
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conversation_id: str
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status: str
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class Confidence(BaseModel):
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triad: Optional[str] = None
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type: Optional[str] = None
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variant: Optional[str] = None
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ikigai: Optional[str] = None
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class ProfileResponse(BaseModel):
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id: str
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user_id: str
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conversation_id: str
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generated_at: datetime
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triad: Optional[str] = None
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probable_type: Optional[int] = None
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wing: Optional[int] = None
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instinctual_variant: Optional[str] = None
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instinctual_stack: Optional[str] = None
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love_summary: Optional[str] = None
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strength_summary: Optional[str] = None
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mission_summary: Optional[str] = None
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vocation_summary: Optional[str] = None
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overlap_narrative: Optional[str] = None
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short_term_goals: Optional[str] = None
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long_term_goals: Optional[str] = None
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confidence: Optional[Confidence] = None
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locked: bool = False
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extraction_notes: Optional[str] = None
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class ProfileUpdate(BaseModel):
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"""Partial edit of a profile's prose. Only fields explicitly provided are
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updated (see exclude_unset in the router). The AI's structural inference
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(triad/type/wing/variant) and confidence are not editable here."""
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love_summary: Optional[str] = None
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strength_summary: Optional[str] = None
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mission_summary: Optional[str] = None
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vocation_summary: Optional[str] = None
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overlap_narrative: Optional[str] = None
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short_term_goals: Optional[str] = None
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long_term_goals: Optional[str] = None
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class ConfirmResponse(BaseModel):
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status: str
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class ConversationResponse(BaseModel):
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id: str
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user_id: str
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started_at: datetime
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completed_at: Optional[datetime] = None
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prompt_alive: Optional[str] = None
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prompt_friction: Optional[str] = None
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prompt_pull: Optional[str] = None
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prompt_recognition: Optional[str] = None
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prompt_future: Optional[str] = None
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prompt_goals_short: Optional[str] = None
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prompt_goals_long: Optional[str] = None
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model_config = {"from_attributes": True}
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