mirror of
https://github.com/computerim/impactflow-discovery.git
synced 2026-08-27 07:20:36 +00:00
Joel Salmon
b8f176bb31
Discovery service (pre-existing): FastAPI + async SQLAlchemy + Alembic +
SQLite + Anthropic, with a five-prompt static UI that produces an Enneagram
+ Ikigai profile.
Auth implementation (this change set) follows
Impact_Flow_Auth_Plan_OAuth.html, adapted to the discovery_conversation /
discovery_profile schema:
- app/auth.py: Google OAuth registration, JWT issue/decode, dual-auth
dependency (Bearer JWT or X-API-Key), refresh-token hashing, domain
allow-list, synthetic api-key-admin user
- app/tracking.py: ActivityTrackingMiddleware + log_activity helper;
tags machine-to-machine calls source=mcp
- app/routers/auth.py: /api/auth/{login,callback,refresh,logout},
/api/me, /api/me/{stats,sessions,sessions/{id}}
- app/routers/activity.py: /api/activity, /api/activity/summary,
/api/admin/activity, plus prune_old_activity (90-day retention)
- app/routers/discovery.py: every route now user-scoped via the auth
dependency; /discovery/profile/{user_id} -> /discovery/profile/me
- alembic/versions/002_add_auth.py: users, refresh_tokens, activity_log
- tests/test_auth.py: 8 tests covering 401 paths, X-API-Key admin
resolution, JWT round-trip, admin gating, domain allow-list
- README.md: Authentication section, expanded env-var table, updated
data-model and API-reference tables
- .env.example: new GOOGLE_*, JWT_*, IMPACTFLOW_API_KEY, CORS_*,
ALLOWED_EMAIL_DOMAINS placeholders
- .gitignore: also exclude data/*.log
Tests: 19/19 pass (11 pre-existing + 8 new). smoke_test.py exercises the
full discovery flow under X-API-Key plus 401 paths, OAuth login redirect,
activity logging, and /api/me/stats.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
"""initial schema: discovery_conversation and discovery_profile
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Revision ID: 001
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Revises:
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Create Date: 2026-05-25
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision: str = "001"
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down_revision: Union[str, None] = None
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.create_table(
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"discovery_conversation",
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sa.Column("id", sa.String(), primary_key=True),
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sa.Column("user_id", sa.String(), nullable=False),
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sa.Column("started_at", sa.DateTime(), nullable=False),
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sa.Column("completed_at", sa.DateTime(), nullable=True),
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sa.Column("prompt_alive", sa.Text(), nullable=True),
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sa.Column("prompt_friction", sa.Text(), nullable=True),
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sa.Column("prompt_pull", sa.Text(), nullable=True),
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sa.Column("prompt_recognition", sa.Text(), nullable=True),
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sa.Column("prompt_future", sa.Text(), nullable=True),
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)
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op.create_index(
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"ix_discovery_conversation_user_id",
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"discovery_conversation",
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["user_id"],
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)
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op.create_table(
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"discovery_profile",
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sa.Column("id", sa.String(), primary_key=True),
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sa.Column("user_id", sa.String(), nullable=False),
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sa.Column(
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"conversation_id",
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sa.String(),
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sa.ForeignKey("discovery_conversation.id"),
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nullable=False,
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),
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sa.Column("generated_at", sa.DateTime(), nullable=False),
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sa.Column("triad", sa.String(), nullable=True),
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sa.Column("probable_type", sa.Integer(), nullable=True),
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sa.Column("wing", sa.Integer(), nullable=True),
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sa.Column("instinctual_variant", sa.String(), nullable=True),
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sa.Column("instinctual_stack", sa.String(), nullable=True),
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sa.Column("love_summary", sa.Text(), nullable=True),
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sa.Column("strength_summary", sa.Text(), nullable=True),
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sa.Column("mission_summary", sa.Text(), nullable=True),
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sa.Column("vocation_summary", sa.Text(), nullable=True),
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sa.Column("overlap_narrative", sa.Text(), nullable=True),
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sa.Column("confidence_json", sa.Text(), nullable=True),
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sa.Column(
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"locked",
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sa.Boolean(),
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nullable=False,
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server_default=sa.text("0"),
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),
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)
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op.create_index(
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"ix_discovery_profile_user_id", "discovery_profile", ["user_id"]
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)
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def downgrade() -> None:
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op.drop_index("ix_discovery_profile_user_id", table_name="discovery_profile")
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op.drop_table("discovery_profile")
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op.drop_index(
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"ix_discovery_conversation_user_id",
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table_name="discovery_conversation",
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)
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op.drop_table("discovery_conversation")
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