supermemory/packages/docs-test/tests/python/user_profiles.py
Dhravya Shah 87b361c26b
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docs changes (#678)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-18 16:55:32 -08:00

102 lines
2.5 KiB
Python

import os
import time
from dotenv import load_dotenv
from supermemory import Supermemory
load_dotenv()
client = Supermemory()
USER_ID = "docs-test-profiles-py"
def test_basic_profile():
"""Test basic profile retrieval"""
print("=== Basic Profile ===")
profile = client.profile(
container_tag=USER_ID,
q="What are my preferences?",
)
print(f"✓ Static profile: {len(profile.profile.static)} items")
print(f"✓ Dynamic profile: {len(profile.profile.dynamic)} items")
print(f"✓ Search results: {len(profile.search_results.results)} items")
def test_profile_with_memories():
"""Test profile with memory context"""
print("\n=== Profile with Memory Context ===")
# Add some memories
client.add(
content="User prefers dark mode for all applications",
container_tag=USER_ID,
)
client.add(
content="User is learning TypeScript and Rust",
container_tag=USER_ID,
)
# Wait for indexing
time.sleep(2)
# Get profile with search
profile = client.profile(
container_tag=USER_ID,
q="What programming languages does the user know?",
)
print("✓ Profile retrieved with memories")
print(f" Static: {profile.profile.static[:2]}")
print(f" Dynamic: {profile.profile.dynamic[:2]}")
def get_memory(r):
if hasattr(r, 'memory'):
return r.memory
return r.get('memory', '') if isinstance(r, dict) else str(r)
def test_building_context():
"""Test building LLM context"""
print("\n=== Building LLM Context ===")
conversation = [{"role": "user", "content": "What theme should I use for my IDE?"}]
profile = client.profile(
container_tag=USER_ID,
q=conversation[-1]["content"],
)
context = f"""User Profile:
{chr(10).join(profile.profile.static)}
Recent Context:
{chr(10).join(profile.profile.dynamic)}
Relevant Memories:
{chr(10).join(get_memory(r) for r in profile.search_results.results)}"""
print(f"✓ Built context: {len(context)} chars")
messages = [
{"role": "system", "content": f"Use this context about the user:\n{context}"},
*conversation,
]
print(f"✓ Messages ready for LLM: {len(messages)} messages")
def main():
print("User Profiles Tests")
print("===================\n")
test_basic_profile()
test_profile_with_memories()
test_building_context()
print("\n===================")
print("✅ All user profile tests passed!")
if __name__ == "__main__":
main()