feat: begin work on RAG, refactoring, improved docs and tests #258
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3drafted comments based on config settings.
1. gptme/tools/rag.py:15
- Draft comment:
The ImportError handling is incorrect._HAS_RAGshould be set toFalsein the except block, notTrue. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable:
The comment is incorrect because the code is correctly setting_HAS_RAGtoTruewhen the import is successful and toFalsewhen an ImportError occurs. The comment seems to misunderstand the logic of the try-except block.
I might be missing some context about how the import should be handled, but based on the provided code, the logic seems correct. The comment might be based on a misunderstanding of the try-except pattern.
The try-except pattern is a common way to handle optional imports, and the current implementation aligns with this pattern. The comment does not provide strong evidence of an issue.
The comment is incorrect because the code correctly handles the ImportError by setting_HAS_RAGtoFalsein the except block. The comment should be deleted.
2. gptme/tools/rag.py:25
- Draft comment:
Ensure_HAS_RAGisTruebefore usingindexerto avoid runtime errors whengptme-ragis not installed. - Reason this comment was not posted:
Comment did not seem useful.
3. gptme/tools/rag.py:52
- Draft comment:
Check ifindexeris initialized before returning theToolSpecto ensure the tool is only available when properly initialized. - Reason this comment was not posted:
Comment did not seem useful.
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tests/test_cache.py
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| @pytest.mark.asyncio | ||
| async def test_rag_context_provider_with_cache(): |
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1. gptme/config.py:125
- Draft comment:
The change fromload_configto_load_configis consistent with the refactoring and aligns with the new naming convention. - Reason this comment was not posted:
Confidence changes required:20%
The change fromload_configto_load_configinset_config_valueis consistent with the refactoring done in the PR. This change ensures that the internal function_load_configis used, which aligns with the new naming convention.
2. gptme/init.py:33
- Draft comment:
The change fromload_configtoget_configensures the singleton pattern is respected. - Reason this comment was not posted:
Confidence changes required:20%
The change fromload_configtoget_configininit.pyis consistent with the refactoring done in the PR. This change ensures that the singleton pattern is respected by usingget_config.
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Consider specifying a maxsize for @lru_cache to prevent unbounded memory usage.
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| @lru_cache(maxsize=128) |
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1. tests/test_config.py:6
- Draft comment:
Avoid usingprintstatements in tests. They can clutter test output. Use assertions to verify conditions instead. - Reason this comment was not posted:
Confidence changes required:50%
The use ofprintstatements in tests is not a best practice. It can clutter test output and is not useful for automated testing. Instead, assertions should be used to verify test conditions.
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Skipped PR review on b1874f9 because no changed files had a supported extension. If you think this was in error, please contact us and we'll fix it right away.
Codecov ReportAttention: Patch coverage is
✅ All tests successful. No failed tests found.
Additional details and impacted files@@ Coverage Diff @@
## master #258 +/- ##
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+ Coverage 72.40% 73.30% +0.90%
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Files 62 64 +2
Lines 4055 4211 +156
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+ Hits 2936 3087 +151
- Misses 1119 1124 +5
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1. pyproject.toml:40
- Draft comment:
The version update forgptme-ragfrom^0.1.0to^0.1.4is correct and aligns with the PR description. No issues found here. - Reason this comment was not posted:
Confidence changes required:0%
The version update forgptme-raginpyproject.tomlis correct and aligns with the PR description. No issues found here.
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1drafted comments based on config settings.
1. gptme/tools/rag.py:99
- Draft comment:
Theinitfunction is missing theinstructions,examples,block_types, andexecutefields in the returnedToolSpec. Ensure these fields are included for complete tool initialization. - Reason this comment was not posted:
Comment did not seem useful.
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3drafted comments based on config settings.
1. gptme/tools/rag.py:13
- Draft comment:
Import statements should be at the top of the file, following PEP 8 guidelines. Consider moving thegptme_ragimport to the top, outside of the try-except block. - Reason this comment was not posted:
Confidence changes required:50%
The import statement forgptme_ragshould be at the top of the file, following PEP 8 guidelines for import order.
2. gptme/tools/rag.py:20
- Draft comment:
Type hint forindexershould not be a string. Usegptme_rag.Indexer | Noneinstead of"gptme_rag.Indexer | None". - Reason this comment was not posted:
Confidence changes required:50%
The type hint forindexershould not be a string. It should be a direct type hint.
3. gptme/tools/rag.py:81
- Draft comment:
Consider handling the case whereconfigis None to avoid potential issues. Currently, ifconfigis None, the function will returntoolwithout initializingindexer. - Reason this comment was not posted:
Confidence changes required:50%
Theinitfunction should handle the case whereconfigis None to avoid potential issues.
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3drafted comments based on config settings.
1. gptme/tools/rag.py:85
- Draft comment:
The import statement forgptme_ragis repeated here. Since it's already imported at the top, this is redundant. Consider removing this import statement. - Reason this comment was not posted:
Confidence changes required:50%
The import statement for gptme_rag is repeated unnecessarily.
2. gptme/tools/rag.py:20
- Draft comment:
Theindexervariable is used globally, which can lead to issues in a multi-threaded environment. Consider using a more thread-safe approach, such as encapsulating it within a class or using thread-local storage. - Reason this comment was not posted:
Confidence changes required:50%
Theindexervariable is used globally but is not thread-safe.
3. gptme/tools/rag.py:81
- Draft comment:
Theinitfunction does not handle the case whereconfigisNone. Consider adding a check to handle this scenario to avoid potential errors. - Reason this comment was not posted:
Confidence changes required:50%
Theinitfunction should handle the case whereconfigis None.
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2drafted comments based on config settings.
1. scripts/Dockerfile:23
- Draft comment:
Ensure that server dependencies are installed in the builder stage to avoid runtime errors. Consider addingRUN /opt/poetry/bin/poetry install -E server --without devbefore building the wheel. - Reason this comment was not posted:
Comment did not seem useful.
2. scripts/Dockerfile.server:7
- Draft comment:
Copyingrequirements-server.txtfrom the base image is unnecessary if the base image already includes server dependencies. Consider removing this step to simplify the Dockerfile. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable:
The comment is speculative because it assumes the base image might already have the server dependencies, which is not evident from the diff. The comment does not provide strong evidence that the change is unnecessary. Without clear evidence, the comment should be deleted as it does not meet the criteria for a useful comment.
I might be missing some context about the base image, but the comment does not provide any evidence or reasoning to support its claim. It is speculative and not actionable.
Even if there is missing context, the comment should provide evidence or reasoning to be considered useful. Without it, the comment remains speculative.
Delete the comment as it is speculative and does not provide strong evidence that the change is unnecessary.
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1. tests/test_tools_rag.py:10
- Draft comment:
The import statement forinit_ragwas changed toinit, but the function is still referred to asinit_ragin the test cases. Consider renaming the function in the test cases toinitfor consistency. - Reason this comment was not posted:
Comment looked like it was already resolved.
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2drafted comments based on config settings.
1. gptme/tools/rag.py:89
- Draft comment:
Theexamplesstring uses f-string formatting without any variables. Consider using a regular string instead. - Reason this comment was not posted:
Confidence changes required:50%
Theexamplesstring inrag.pyuses f-string formatting but does not include any variables to format. This is unnecessary and could be simplified.
2. gptme/tools/rag.py:166
- Draft comment:
Ensuretool.get_doc(__doc__)correctly updates the module docstring as intended. - Reason this comment was not posted:
Confidence changes required:30%
The__doc__assignment at the end of the file is usingtool.get_doc(__doc__), which seems to be a method to update the docstring. Ensure this is intended and correctly updates the docstring.
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1drafted comments based on config settings.
1. gptme/tools/computer.py:2
- Draft comment:
The documentation for the computer tool was removed fromdocs/tools.rst, but similar content is still present here. Consider removing or updating this section for consistency. - Reason this comment was not posted:
Confidence changes required:50%
The PR description mentions the removal of documentation for the computer tool indocs/tools.rst, but the content is still present ingptme/tools/computer.py. This is inconsistent and could lead to confusion.
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1. gptme/tools/computer.py:131
- Draft comment:
Consider adding a check for out-of-bounds coordinates when the source is_ScalingSource.COMPUTERto ensure robustness. - Reason this comment was not posted:
Confidence changes required:50%
The_scale_coordinatesfunction ingptme/tools/computer.pychecks if the coordinates are out of bounds only when the source is_ScalingSource.API. However, it should also check for out-of-bounds coordinates when the source is_ScalingSource.COMPUTERto ensure robustness.
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| @@ -167,16 +217,16 @@ def computer( | |||
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| if shutil.which("gnome-screenshot"): | |||
| # FIXME: incorrect call to xdotool | |||
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Address the FIXME comment regarding the incorrect call to xdotool for taking screenshots to ensure functionality works as intended.
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1. pyproject.toml:39
- Draft comment:
Ensure that the updatedgptme-ragversion^0.1.5is compatible with the rest of the codebase and does not introduce any breaking changes. - Reason this comment was not posted:
Confidence changes required:50%
The version update forgptme-raginpyproject.tomlis correct, but it's important to ensure that the new version is compatible with the rest of the codebase.
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3drafted comments based on config settings.
1. gptme/util/__init__.py:374
- Draft comment:
Theget_project_dirfunction is duplicated. Consider removing one instance to avoid redundancy. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable:
The comment claims duplication, but the provided file content does not show any duplicateget_project_dirfunction. Without evidence of duplication in the diff or the file content, the comment seems incorrect. The comment does not meet the criteria for a valid review comment as it lacks strong evidence.
I might be missing context from other files or parts of the codebase that are not visible here. However, the task is to focus on the provided diff and file content, and based on that, the comment seems incorrect.
The task is to review the comment based on the provided diff and file content. Since there is no evidence of duplication in the visible content, the comment should be considered incorrect.
The comment should be deleted as there is no evidence of theget_project_dirfunction being duplicated in the provided file content.
2. gptme/prompts.py:19
- Draft comment:
Theget_project_dirfunction is duplicated. Consider removing one instance to avoid redundancy. - Reason this comment was not posted:
Marked as duplicate.
3. gptme/tools/rag.py:66
- Draft comment:
Theget_project_dirfunction is duplicated. Consider removing one instance to avoid redundancy. - Reason this comment was not posted:
Marked as duplicate.
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Alright, finally going to merge this. Not super happy with how complicated it got, but I'll save the refactor for a future PR to avoid this one getting stuck with a bunch of good refactors and fixes. |
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5drafted comments based on config settings.
1. gptme/tools/rag.py:110
- Draft comment:
Therag_indexfunction returns the number of paths indexed, not the actual number of documents. Consider updating the return message to reflect the number of documents indexed for clarity. - Reason this comment was not posted:
Confidence changes required:50%
Therag_indexfunction returns a message indicating the number of paths indexed, but it doesn't account for the actual number of documents indexed. This could be misleading if a path contains multiple documents. The message should reflect the number of documents indexed instead.
2. gptme/tools/rag.py:118
- Draft comment:
Therag_searchfunction truncates document content to 200 characters. Consider making this limit configurable to allow flexibility based on user needs. - Reason this comment was not posted:
Confidence changes required:33%
Therag_searchfunction truncates document content to 200 characters, which might not be sufficient for some use cases. It would be better to make this limit configurable.
3. gptme/tools/rag.py:125
- Draft comment:
Ensure thatindexer.collection.count()accurately reflects the number of documents indexed, as it might not account for all edge cases. - Reason this comment was not posted:
Confidence changes required:33%
Therag_statusfunction usesindexer.collection.count()to get the number of documents. Ensure that this method accurately reflects the number of documents indexed, as it might not account for all edge cases.
4. gptme/tools/rag.py:135
- Draft comment:
The default collection name is set to "default". Consider using a more descriptive default name or making it configurable to avoid potential conflicts or confusion. - Reason this comment was not posted:
Confidence changes required:33%
Theinitfunction ingptme/tools/rag.pyinitializes theindexerwith a default collection name of "default". It might be better to use a more descriptive default name or ensure it's configurable.
5. tests/test_tools_rag.py:65
- Draft comment:
The FIXME comment indicates a performance issue when indexing the default path. Consider addressing this to ensure the test runs efficiently and doesn't slow down the test suite. - Reason this comment was not posted:
Confidence changes required:50%
Thetest_rag_index_functiontest case has a FIXME comment indicating a performance issue when indexing the default path. This should be addressed to ensure the test runs efficiently.
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4drafted comments based on config settings.
1. gptme/tools/rag.py:110
- Draft comment:
Therag_indexfunction returns "Indexed 1 paths" even when multiple paths are indexed. Consider updating the return message to reflect the actual number of paths indexed.
return f"Indexed {len(paths)} path{'s' if len(paths) > 1 else ''}"
- Reason this comment was not posted:
Confidence changes required:50%
Therag_indexfunction returns a message indicating the number of paths indexed, but it doesn't account for the possibility of indexing multiple paths. The message should reflect the actual number of paths indexed.
2. gptme/tools/rag.py:118
- Draft comment:
Therag_searchfunction truncates document content to 200 characters. Consider making this limit configurable to allow flexibility in the amount of content returned.
f"### {doc.metadata['source']}\n{doc.content[:200]}..." for doc in docs
- Reason this comment was not posted:
Confidence changes required:50%
Therag_searchfunction truncates document content to 200 characters, which might not be sufficient for some use cases. It would be better to make this limit configurable.
3. gptme/tools/rag.py:131
- Draft comment:
Theinitfunction returnstooleven when_HAS_RAGisFalse. Consider returningNoneor raising an exception to avoid unexpected behavior when RAG is not available.
return None
- Reason this comment was not posted:
Confidence changes required:50%
Theinitfunction ingptme/tools/rag.pyreturnstooleven when_HAS_RAGisFalse, which might lead to unexpected behavior. It should returnNoneor raise an exception when RAG is not available.
4. tests/test_tools_rag.py:65
- Draft comment:
Thetest_rag_index_functiontest case has a FIXME comment about performance issues when indexing the default path. Consider optimizing the test setup or environment to avoid slow execution.
# Consider optimizing the test environment to avoid slow execution
- Reason this comment was not posted:
Confidence changes required:50%
Thetest_rag_index_functiontest case has a FIXME comment indicating a performance issue when indexing the default path. This should be addressed to ensure the test runs efficiently.
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5drafted comments based on config settings.
1. gptme/tools/rag.py:104
- Draft comment:
Consider separating the number of paths and documents in the return string for clarity. For example,Indexed {len(paths)} paths with {total_docs} documents. - Reason this comment was not posted:
Confidence changes required:50%
Therag_indexfunction ingptme/tools/rag.pyreturns a string indicating the number of paths indexed, but it also includes the number of documents indexed. This could be misleading if the number of paths and documents differ significantly. It would be clearer to separate these two pieces of information.
2. gptme/tools/rag.py:112
- Draft comment:
Consider slicing the document content at a word boundary or providing a more contextually complete snippet to avoid cutting off important information mid-sentence. - Reason this comment was not posted:
Confidence changes required:50%
Ingptme/tools/rag.py, therag_searchfunction slices the document content to 200 characters. This could potentially cut off important information mid-sentence. It might be better to slice at a word boundary or provide a more contextually complete snippet.
3. gptme/tools/rag.py:135
- Draft comment:
Consider adding validation forindex_pathandcollectionto ensure they are valid and accessible before initializingRAGManager. - Reason this comment was not posted:
Confidence changes required:50%
Ingptme/tools/rag.py, theinitfunction initializes theRAGManagerwithout checking if theindex_pathandcollectionare valid or accessible. This could lead to runtime errors if the paths are incorrect or inaccessible.
4. gptme/tools/_rag_context.py:26
- Draft comment:
Consider implementing a size limit for_search_cacheor using a more sophisticated caching mechanism to prevent high memory usage. - Reason this comment was not posted:
Confidence changes required:50%
Ingptme/tools/_rag_context.py, the_search_cacheis a simple in-memory cache. This could lead to high memory usage if the cache grows large. Consider implementing a size limit or using a more sophisticated caching mechanism.
5. gptme/tools/_rag_context.py:77
- Draft comment:
Consider adding exception handling around the initialization ofIndexerandContextAssemblerto handle potential issues with configuration or dependencies. - Reason this comment was not posted:
Confidence changes required:50%
Ingptme/tools/_rag_context.py, theRAGManagerclass initializes theIndexerandContextAssemblerwithout handling potential exceptions that could arise during their initialization. This could lead to unhandled exceptions if there are issues with the configuration or dependencies.
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3drafted comments based on config settings.
1. gptme/tools/_rag_context.py:89
- Draft comment:
Ensuremax_tokensforContextAssembleris configurable through theRAGManagerconstructor or configuration file to allow flexibility for different use cases. - Reason this comment was not posted:
Confidence changes required:50%
TheRAGManagerclass ingptme/tools/_rag_context.pyinitializes theindexerandcontext_assemblerwith configurations. However, themax_tokensparameter forcontext_assembleris set to a default of 2000, which might not be suitable for all use cases. It would be better to ensure this value is configurable through theRAGManagerconstructor or configuration file.
2. pyproject.toml:42
- Draft comment:
Ensure that the optionalgptme-ragdependency is handled properly in the code to avoid runtime errors when it is not installed. - Reason this comment was not posted:
Confidence changes required:50%
Inpyproject.toml, thegptme-ragdependency is marked as optional. However, the code ingptme/tools/_rag_context.pyraises anImportErrorifgptme-ragis not installed. This could lead to runtime errors if the optional dependency is not handled properly. Consider adding a check or fallback mechanism to handle cases wheregptme-ragis not installed.
3. tests/test_tools_rag.py:28
- Draft comment:
Ensure thatshutil.rmtreein fixtures only deletes temporary directories to prevent accidental data loss. - Reason this comment was not posted:
Confidence changes required:50%
Intests/test_tools_rag.py, theindex_pathandtemp_docsfixtures useshutil.rmtreeto clean up temporary directories. This is a good practice to ensure test isolation and prevent side effects. However, it's important to ensure that these directories are not accidentally deleted if they contain important data. Consider adding a check to ensure the path is indeed a temporary path before deletion.
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ErikBjare
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❌ Changes requested. Incremental review on d403e54 in 43 seconds
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1. tests/test_tools_rag.py:43
- Draft comment:
shutil.rmtreeis unnecessary here astmp_pathis automatically cleaned up by pytest. - Reason this comment was not posted:
Marked as duplicate.
2. tests/test_tools_rag.py:21
- Draft comment:
Consider movingpytest.importorskip("gptme_rag")to the top of the file or inside test functions to ensure it executes before any test logic. - Reason this comment was not posted:
Confidence changes required:50%
Thepytest.importorskipfunction is used to skip tests if thegptme_ragmodule is not available. However, this should be placed inside the test functions or at the top of the test file to ensure it is executed before any test logic, ensuring the tests are skipped appropriately.
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tests/test_tools_rag.py
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| def index_path(tmp_path): | ||
| """Create a temporary index path.""" | ||
| yield tmp_path | ||
| shutil.rmtree(tmp_path, ignore_errors=True) |
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shutil.rmtree is unnecessary here as tmp_path is automatically cleaned up by pytest.
| shutil.rmtree(tmp_path, ignore_errors=True) |
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👍 Looks good to me! Incremental review on 75787da in 28 seconds
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1. .github/workflows/build.yml:185
- Draft comment:
Ensure that the extras specified in the matrix (currently '-E all') align with the changes made in the PR (i.e., '-E server -E browser'). This ensures consistency across build configurations. - Reason this comment was not posted:
Comment did not seem useful.
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👍 Looks good to me! Incremental review on 57e49e7 in 16 seconds
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1. tests/test_tools_rag.py:28
- Draft comment:
shutil.rmtreeis unnecessary here astmp_pathis automatically cleaned up by pytest. - Reason this comment was not posted:
Confidence changes required:10%
The use ofshutil.rmtreein the fixture is unnecessary sincetmp_pathis automatically cleaned up by pytest. This is a minor issue but worth noting for code cleanliness.
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1. tests/test_tools_rag.py:28
- Draft comment:
The use ofshutil.rmtreeis unnecessary here astmp_pathis automatically cleaned up by pytest. - Reason this comment was not posted:
Confidence changes required:50%
The use ofshutil.rmtreein the fixture is unnecessary sincetmp_pathis automatically cleaned up by pytest.
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|
Not super happy with this, but too many misc improvements not to merge, and the CI should finally pass now. |
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👍 Looks good to me! Incremental review on 0e1596d in 25 seconds
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1. tests/test_cli.py:287
- Draft comment:
The order of assertions intest_chainseems incorrect. The assertionassert user1_loc < user2_locshould beassert user1_loc < save_locto ensure the save operation occurs after the first user input. Similarly,assert patch_loc < user2_locshould beassert save_loc < user2_locto ensure the user input follows the save operation. Please review the sequence of operations and adjust the assertions accordingly. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable:
The comment suggests changes that are already implemented in the code. The assertions in the code already ensure the correct order of operations as described by the comment. Therefore, the comment is not useful as it does not suggest any new or necessary changes.
I might be misunderstanding the comment's intention or the current code logic. It's possible that the comment is pointing out a subtle issue that I missed.
The assertions in the code already ensure the correct sequence of operations, as described by the comment. The comment does not provide any new insights or necessary changes.
The comment should be deleted because it suggests changes that are already implemented in the code, making it redundant and not useful.
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ErikBjare
changed the title
Progress on #59
Replacement/alternative to #135
Important
Introduces a RAG tool for context-aware assistance with caching and context enhancement, including tests and documentation.
RAGtool ingptme/tools/rag.pyfor context-aware assistance withindex,search,statuscommands.gptme-ragpackage.CacheandRAGCacheclasses ingptme/cache.pyfor caching embeddings and search results.get_cache()function for singleton cache instance.RAGContextProvideringptme/context.pyfor enhancing messages with relevant context using cached search results.gptme/config.pyto include RAG configuration options.docs/tools.rstto document the RAG tool.tests/test_cache.py.tests/test_context.py.tests/test_tools_rag.py..github/workflows/build.ymlto includepoetry install -E server -E browser.This description was created by
for 0e1596d. It will automatically update as commits are pushed.