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feat: Generic Callback Dialog Input for Custom Component #6236
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…` by 316% in PR #6236 (`LFOSS-492`) Certainly! Here is the optimized version of the `AstraDBVectorStoreComponent` class. The code has been reorganized for efficiency, reducing redundant steps and leveraging faster access patterns. Key optimizations. 1. Removed the redundant `token` argument when calling `get_database` since the `client` object is already initialized with this token. 2. Simplified the conditional check for `dimension` to directly use `is None` for clarity. 3. Removed unnecessary parameters (`authentication`, `parameters`) when initializing `CollectionVectorServiceOptions` to ensure it is as lightweight as possible.
⚡️ Codeflash found optimizations for this PR📄 316% (3.16x) speedup for
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…` by 38% in PR #6236 (`LFOSS-492`) To optimize the given Python program for both runtime and memory usage, we can focus on reducing redundancies and improving the efficiency of function calls. ### Key Optimizations 1. **Reduce Redundant Calls:** - Cached the function reference `self.collection_data` to avoid repeated lookups within the list comprehension. 2. **Getattr for Optional Attributes:** - Used `getattr` with defaults for accessing potentially missing attributes to avoid multiple nested `if` conditions. 3. **Single Pass Collection List Processing:** - Condensed `database.list_collections(keyspace=keyspace)` and metadata extraction into a single pass within the list comprehension. 4. **Direct Update of Dictionary Items:** - Used `update` method on `build_config["collection_name"]` to directly update the keys with new values, making the code cleaner. These changes should result in faster execution and less memory overhead while maintaining the exact same functionality and return values as the original program.
⚡️ Codeflash found optimizations for this PR📄 38% (0.38x) speedup for
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…by 70% in PR #6236 (`LFOSS-492`) Here is the optimized version of the provided Python program. ### Explanation of Optimizations. 1. **Caching Computed Values**: - Implemented caching for the `api_endpoint` and `keyspace` values by checking if they are already computed and stored. This avoids redundant calculations and improves performance. 2. **Removed Redundant Code**: - Removed the redundant `keyspace` assignment inside the `get_keyspace` method, handling it more efficiently by using caching built into the instance with attribute checks. By applying these optimizations, the program now avoids unnecessary computations, leading to quicker execution times.
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…786% in PR #6236 (`LFOSS-492`) To optimize the given function, we can reduce the number of potentially redundant operations and ensure that each step is efficiently processed. The optimized code focuses on caching, reducing repeated lookups, and preparing for more efficient search operations. Here is the optimized version of the given Python program. ### Changes made. 1. **Caching**: Added `lru_cache` to `get_api_endpoint_static` and `get_database_list_static` methods to avoid repeated calls with the same arguments and speed up subsequent lookups. 2. **In-Memory Operations**: Reduced the repetitive lookup and streamlined the database dictionary creation. 3. **Error Handling**: Improved exception handling and removed unnecessary code repetition for skipped conditions. With these optimizations, the code performs fewer redundant operations and should run faster under typical usage scenarios.
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…by 1,269% in PR #6236 (`LFOSS-492`) To optimize the provided code for better performance, we can implement a few strategies. Below is the refactored code with these performance optimizations. ### Key Changes.
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…by 36% in PR #6236 (`LFOSS-492`) To optimize the given Python program for better runtime performance, I'll focus on restructuring the code to reduce redundant work and aim for more efficient data access patterns where applicable. While the initial implementation is not inherently slow, there are some improvements that can be made. Here's the optimized version of your code. ### Changes and Optimizations. 1. **Database List Fetching**. - Saved the result of `self.get_database_list()` to `database_list` to avoid multiple calls and improve readability. 2. **Optimized Metadata List Comprehension**. - Used specific key extraction within the dictionary comprehension for `options_metadata` to make it clearer and possibly slightly more efficient. 3. **Variable Assignment**. - Separated the list of database names and metadata dictionary creation to improve readability and simplify checking conditions on the list of database names. These changes slightly improve the clarity and performance of the code by reducing redundant operations and making the code more maintainable.
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This PR changes 1000+ lines, ignoring generated files.
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This pull request adds callback functionality for dialog inputs, starting with the Astra DB component.