chore(tool): add manifest extract for query_local_run
To align the behavior of the real query scenario. I added the manifest extractor to the query_local_run.py script.
Summary by CodeRabbit
- New Features
- The script now identifies and uses only the relevant tables from your SQL query, optimizing session initialization.
- Improvements
- Adjusted SQL transpilation to use default source dialect.
- Improved file path handling for function list files.
Walkthrough
The script now explicitly imports the wren_core module and adds logic to extract and use only the subset of tables referenced in the SQL query from the manifest. It updates the manifest encoding, modifies the session initialization to use the filtered manifest, adjusts file path construction, and changes SQL transpilation to not specify a source dialect.
Changes
| File(s) | Change Summary |
|---|---|
| ibis-server/tools/query_local_run.py | Imports the full wren_core module. Adds logic to extract and encode only the tables used in the SQL from manifest. Updates session initialization to use filtered manifest. Changes SQL transpilation to unspecified source dialect. Adjusts file path construction for function list. |
Sequence Diagram(s)
sequenceDiagram
participant User
participant QueryLocalRunScript
participant wren_core.ManifestExtractor
participant SessionContext
User->>QueryLocalRunScript: Provide SQL query and manifest
QueryLocalRunScript->>wren_core.ManifestExtractor: Initialize with manifest
QueryLocalRunScript->>wren_core.ManifestExtractor: Resolve tables in SQL
wren_core.ManifestExtractor-->>QueryLocalRunScript: Return used tables
QueryLocalRunScript->>wren_core.ManifestExtractor: Extract filtered manifest for used tables
wren_core.ManifestExtractor-->>QueryLocalRunScript: Return filtered manifest
QueryLocalRunScript->>SessionContext: Initialize with filtered manifest
QueryLocalRunScript->>SessionContext: Run query
Suggested labels
ibis, python
Suggested reviewers
- douenergy
Poem
A hop and a skip, a manifest snip,
Now only the tables you need make the trip.
The SQL is parsed, the context is lean,
With filtered data, the queries are clean.
The bunny approves, with a twitch of its nose—
Efficient and tidy, that's how it goes! 🐇✨
[!TIP]
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This is very useful. 👍