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🚀 Here's the PR! #116
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I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.
Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.
Step 2: ⌨️ Coding
Modify agents-api/agents_api/models/session/get_session.py with contents:
• At the beginning of the `get_session_query` function, add a docstring that describes the function's purpose, parameters, and return type. The docstring should explain that the function constructs and executes a datalog query to retrieve session information from the 'cozodb' database for a given `developer_id` and `session_id`, returning the result as a pandas DataFrame. Mention that the `client` parameter allows specifying a custom CozoClient instance for the database connection.
• Before the datalog query (line 16), add a comment explaining the structure of the query, highlighting the use of `input` for passing parameters, the projection of specific fields from the `sessions` and `session_lookup` relations, and the conversion of `updated_at` to an integer. This comment should provide a concise overview to help understand how the query interacts with the database schema as described in the README.md.
• Ensure that the added comments and docstrings do not alter the functionality of the existing code and that they follow Python's best practices for documentation.--- +++ @@ -11,9 +11,23 @@ session_id: UUID, client: CozoClient = client, ) -> pd.DataFrame: + """ + Constructs and executes a datalog query to retrieve session information from the 'cozodb' database. + + Parameters: + developer_id (UUID): The developer's unique identifier. + session_id (UUID): The session's unique identifier. + client (CozoClient): Allows specifying a custom CozoClient instance for the database connection. + + Returns: + pd.DataFrame: The result of the query as a pandas DataFrame. + """ session_id = str(session_id) developer_id = str(developer_id) + # This query retrieves session information by using `input` to pass parameters, + # projects specific fields from the `sessions` and `session_lookup` relations, + # and converts `updated_at` to an integer for easier handling. query = """ input[developer_id, session_id] <- [[ to_uuid($developer_id),
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agents-api/agents_api/models/session/get_session.py
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Check agents-api/agents_api/models/session/get_session.py with contents:Ran GitHub Actions for 9a9a555558c893158cfde90de579e51e3aa87570:
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I have finished reviewing the code for completeness. I did not find errors for sweep/add_docstrings_and_comments_to_agentsapi_70893
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Related Issues (20)
- (Maybe?) Add a semantic cache
- sessions/chat endpoint returns 500 error status when too many tools have been passed
- make users optional when creating and interacting with sessions HOT 1
- Upgrade text-embedding-inference services to version 1.2 from 1.0
- Improve `deploy/docker-compose.yml` for easy local installations.
- possible bug: Double check if final_settings.remember in BaseSession.backward is correctly being passed by the SDKs
- Typescript SDK is not getting generated
- Simplify ChatResponse schema
- Replace `updated_at` with `updated_at_ms` wherever it is used as a `Validity` in cozo relations
- Multimodal inputs: count image tokens
- Create simple examples using composio integration
- Implement Reciprocal-Rank Fusion or Distribution-Based Fusion for maximum RAG accuracy
- Flesh out CONTRIBUTING.md
- API for Whisper? HOT 1
- Add validation constraints for adaptive context settings
- Need to add configurable retries for model providers
- Tool names for a given agent MUST be enforced to be unique
- Grok-1 Tool Support HOT 1
- Allow developers to set the UUID of root objects and use them for upsert endpoints
- feat(adaptive-context): Process image parts in summarization
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