121 lines
3.6 KiB
Python
121 lines
3.6 KiB
Python
#!/usr/bin/env python3
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"""
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Retain API examples for Hindsight.
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Run: python examples/api/retain.py
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"""
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import os
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import requests
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HINDSIGHT_URL = os.getenv("HINDSIGHT_API_URL", "http://localhost:8888")
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# =============================================================================
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# Setup (not shown in docs)
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# =============================================================================
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from hindsight_client import Hindsight
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client = Hindsight(base_url=HINDSIGHT_URL)
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# =============================================================================
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# Doc Examples
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# =============================================================================
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# [docs:retain-basic]
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client.retain(
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bank_id="my-bank",
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content="Alice works at Google as a software engineer"
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)
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# [/docs:retain-basic]
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# [docs:retain-with-context]
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client.retain(
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bank_id="my-bank",
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content="Alice got promoted to senior engineer",
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context="career update",
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timestamp="2024-03-15T10:00:00Z"
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)
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# [/docs:retain-with-context]
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# [docs:retain-batch]
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client.retain_batch(
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bank_id="my-bank",
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items=[
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{"content": "Alice works at Google", "context": "career", "document_id": "conversation_001_msg_1"},
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{"content": "Bob is a data scientist at Meta", "context": "career", "document_id": "conversation_001_msg_2"},
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{"content": "Alice and Bob are friends", "context": "relationship", "document_id": "conversation_001_msg_3"}
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]
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)
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# [/docs:retain-batch]
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# [docs:retain-async]
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# Start async ingestion (returns immediately)
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result = client.retain_batch(
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bank_id="my-bank",
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items=[
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{"content": "Large batch item 1", "document_id": "large-doc-1"},
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{"content": "Large batch item 2", "document_id": "large-doc-2"},
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],
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retain_async=True
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)
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# Check if it was processed asynchronously
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print(result.var_async) # True
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# [/docs:retain-async]
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# [docs:retain-with-tags]
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# Tag individual items for visibility scoping
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client.retain_batch(
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bank_id="my-bank",
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items=[
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{
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"content": "User Alice said she loves the new dashboard",
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"tags": ["user:alice", "feedback"],
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"document_id": "user_feedback_001"
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},
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{
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"content": "User Bob reported a bug in the search feature",
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"tags": ["user:bob", "bug-report"],
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"document_id": "user_feedback_002"
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}
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]
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)
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# [/docs:retain-with-tags]
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# [docs:retain-with-document-tags]
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# Apply tags to all items in a batch
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client.retain_batch(
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bank_id="my-bank",
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items=[
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{"content": "Alice mentioned she prefers dark mode", "document_id": "support_session_123_msg_1"},
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{"content": "Bob asked about keyboard shortcuts", "document_id": "support_session_123_msg_2"}
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],
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document_tags=["session:123", "support"] # Applied to all items
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)
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# [/docs:retain-with-document-tags]
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# [docs:retain-list-tags]
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# List all tags in a bank
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response = requests.get(f"{HINDSIGHT_URL}/v1/default/banks/my-bank/tags")
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tags = response.json()
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for tag in tags["items"]:
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print(f"{tag['tag']}: {tag['count']} memories")
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# Search with wildcards (* matches any characters)
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response = requests.get(f"{HINDSIGHT_URL}/v1/default/banks/my-bank/tags", params={"q": "user:*"})
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user_tags = response.json()
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response = requests.get(f"{HINDSIGHT_URL}/v1/default/banks/my-bank/tags", params={"q": "*-admin"})
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admin_tags = response.json()
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# [/docs:retain-list-tags]
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# =============================================================================
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# Cleanup (not shown in docs)
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# =============================================================================
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requests.delete(f"{HINDSIGHT_URL}/v1/default/banks/my-bank")
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print("retain.py: All examples passed")
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