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Feature/prompt provider and type reno #174
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👍 Looks good to me!
- Reviewed the entire pull request up to 0ada9c9
- Looked at
7622
lines of code in122
files - Took 7 minutes and 9 seconds to review
More info
- Skipped
49
files when reviewing. - Skipped posting
2
additional comments because they didn't meet confidence threshold of50%
.
1. r2r/core/abstractions/output.py:1
:
- Assessed confidence :
0%
- Comment:
The new classRAGPipelineOutput
seems to be well implemented. It encapsulates the output of the RAG pipeline, which includes the search results, context, and completion. This makes the code more modular and easier to understand. Good job! - Reasoning:
The PR removes a lot of code related to the chat application. It seems like the chat application is being deprecated and replaced by a cloud platform. This is not explicitly mentioned in the PR description, but it can be inferred from the changes made. The PR also adds a new classRAGPipelineOutput
and modifies theRAGPipeline
class to use this new class. The changes seem logical and there are no obvious bugs or issues. However, without more context or understanding of the overall codebase, it's hard to be certain.
2. README.md:95
:
- Assessed confidence :
100%
- Grade:
0%
- Comment:
The PR description is empty. Please provide a clear description of the changes made. This is important for reviewers and for future reference. - Reasoning:
The code removed from the chat application seems to be a complete removal of the chat functionality. This is a major change and should be clearly stated in the PR description. However, the PR description is empty, which is not a good practice. It's important to provide a clear description of the changes made for reviewers and future reference.
Workflow ID: wflow_MyfknvRtRIHv2ktH
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👍 Looks good to me!
- Performed an incremental review on 542c74d
- Looked at
141
lines of code in4
files - Took 3 minutes and 35 seconds to review
More info
- Skipped
0
files when reviewing. - Skipped posting
4
additional comments because they didn't meet confidence threshold of50%
.
1. r2r/llms/openai/base.py:85
:
- Assessed confidence :
80%
- Grade:
0%
- Comment:
The return type of the method '_get_completion' has been changed. Please ensure that this change is properly handled in the methods 'get_completion' and 'get_completion_stream' which are calling '_get_completion'. - Reasoning:
In the file 'r2r/llms/openai/base.py', the return type of the method '_get_completion' has been changed from 'ChatCompletion' to 'Union[ChatCompletion, ChatCompletionChunk]'. This change might affect the methods 'get_completion' and 'get_completion_stream' which are calling '_get_completion' and expecting a specific type of return value. We need to ensure that the change in return type is handled properly in these methods.
2. r2r/main/app.py:183
:
- Assessed confidence :
60%
- Grade:
0%
- Comment:
The method 'rag_completion' has been updated to handle the case where 'rag_completion.completion' is None. Please ensure that this case is handled appropriately in the rest of the codebase. - Reasoning:
In the file 'r2r/main/app.py', the method 'rag_completion' has been updated to handle the case where 'rag_completion.completion' is None. This is a good practice as it prevents potential 'NoneType' errors. However, it's important to ensure that the 'rag_pipeline.run' method is expected to return a value that could have 'completion' as None and that this case is handled appropriately in the rest of the codebase.
3. r2r/main/utils.py:161
:
- Assessed confidence :
60%
- Grade:
0%
- Comment:
The method 'process_event' has been updated to raise a ValueError when 'id', 'text', or 'metadata' is missing in the result. Please ensure that the code calling 'process_event' is prepared to handle this exception. - Reasoning:
In the file 'r2r/main/utils.py', the method 'process_event' has been updated to raise a ValueError when 'id', 'text', or 'metadata' is missing in the result. This is a good practice as it prevents potential 'NoneType' errors. However, it's important to ensure that the code calling 'process_event' is prepared to handle this exception.
4. r2r/pipelines/basic/prompt_provider.py:24
:
- Assessed confidence :
60%
- Grade:
0%
- Comment:
The 'BasicPromptProvider' class has been introduced which overrides the 'get_system_prompt' and 'get_task_prompt' methods. Please ensure that the code using 'BasicPromptProvider' is using these methods correctly and that the prompts are formatted as expected. - Reasoning:
In the file 'r2r/pipelines/basic/prompt_provider.py', the 'BasicPromptProvider' class has been introduced. This class extends 'DefaultPromptProvider' and overrides the 'get_system_prompt' and 'get_task_prompt' methods. This is a good practice as it allows for customization of the prompts. However, it's important to ensure that the code using 'BasicPromptProvider' is using these methods correctly and that the prompts are formatted as expected.
Workflow ID: wflow_MFSVXBKi1rl6LGbF
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👍 Looks good to me!
- Performed an incremental review on 59751c2
- Looked at
45
lines of code in2
files - Took 2 minutes and 39 seconds to review
More info
- Skipped
0
files when reviewing. - Skipped posting
1
additional comments because they didn't meet confidence threshold of50%
.
1. r2r/main/app.py:213
:
- Assessed confidence :
66%
- Grade:
0%
- Comment:
The change from 'AsyncGenerator' to 'Generator' in the return type of '_stream_rag_completion' function might cause issues if the function is expected to be asynchronous. Please ensure that this change is intentional and does not affect the performance of the application.
) -> AsyncGenerator[str, None]:
- Reasoning:
The change in 'r2r/main/app.py' from 'AsyncGenerator' to 'Generator' in the return type of '_stream_rag_completion' function might cause issues if the function is expected to be asynchronous. This change might affect the performance of the application if the function is expected to handle large data streams.
Workflow ID: wflow_6xBsTtBWsQsKCSbf
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👍 Looks good to me!
- Performed an incremental review on 4043343
- Looked at
45
lines of code in2
files - Took 3 minutes and 29 seconds to review
More info
- Skipped
0
files when reviewing. - Skipped posting
2
additional comments because they didn't meet confidence threshold of50%
.
1. r2r/main/models.py:1
:
- Assessed confidence :
100%
- Grade:
0%
- Comment:
The import of 'dataclass' is not used in this file. Please remove it to keep the code clean and efficient. - Reasoning:
The import of 'dataclass' in 'r2r/main/models.py' is not used anywhere in the file. This is a violation of the best practice to avoid unused imports as they can cause confusion and unnecessary overhead.
2. r2r/main/app.py:213
:
- Assessed confidence :
66%
- Grade:
0%
- Comment:
The function '_stream_rag_completion' was changed from an AsyncGenerator to a Generator. Please ensure this change doesn't impact the performance or functionality of the application, especially if this function is designed to handle large data streams. - Reasoning:
In the file 'r2r/main/app.py', the function '_stream_rag_completion' was changed from an AsyncGenerator to a Generator. This change could potentially impact the performance of the application if the function was originally designed to be asynchronous for handling large data streams or for improving performance.
Workflow ID: wflow_K2giLDhqZn4bZ51v
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👍 Looks good to me!
- Performed an incremental review on 33ce427
- Looked at
966
lines of code in18
files - Took 7 minutes and 17 seconds to review
More info
- Skipped
1
files when reviewing. - Skipped posting
9
additional comments because they didn't meet confidence threshold of50%
.
1. r2r/llms/openai/base.py:56
:
- Assessed confidence :
0%
- Comment:
The refactoring of theget_completion
andget_completion_stream
methods is correct and handles thestream
parameter of thegeneration_config
correctly. - Reasoning:
Ther2r/llms/openai/base.py
file has been refactored to remove theget_instruct_completion
method and replace theget_chat_completion
method withget_completion
andget_completion_stream
methods. This change is consistent with the changes in theLLMProvider
interface inr2r/core/providers/llm.py
. The new methods are correctly implemented and handle thestream
parameter of thegeneration_config
correctly. No issues found in this file.
2. r2r/main/app.py:171
:
- Assessed confidence :
0%
- Comment:
The updates to therag_completion
and_stream_rag_completion
methods correctly handle the changes in theRAGPipeline
interface and theRAGPipelineOutput
class. - Reasoning:
Ther2r/main/app.py
file has been updated to handle the changes in theRAGPipeline
interface and theRAGPipelineOutput
class. Therag_completion
method now correctly handles the case where thestream
parameter of thegeneration_config
isFalse
and thecompletion
attribute of theRAGPipelineOutput
isNone
. The_stream_rag_completion
method also correctly checks that thestream
parameter of thegeneration_config
isTrue
before streaming completions. No issues found in this file.
3. r2r/main/models.py:1
:
- Assessed confidence :
0%
- Comment:
No changes have been made in this file. - Reasoning:
Ther2r/main/models.py
file has not been modified in this PR. There are no changes to review in this file.
4. r2r/main/utils.py:157
:
- Assessed confidence :
0%
- Comment:
The updates to theprocess_event
andprocess_logs
methods correctly handle the changes in theRAGPipeline
interface and theRAGPipelineOutput
class. - Reasoning:
Ther2r/main/utils.py
file has been updated to handle the changes in theRAGPipeline
interface and theRAGPipelineOutput
class. Theprocess_event
method now correctly handles the case where thestream
parameter of thegeneration_config
isFalse
and thecompletion
attribute of theRAGPipelineOutput
isNone
. Theprocess_logs
method also correctly checks that thestream
parameter of thegeneration_config
isTrue
before streaming completions. No issues found in this file.
5. r2r/pipelines/__init__.py:4
:
- Assessed confidence :
0%
- Comment:
The inclusion ofBasicPromptProvider
in the list of imports is correct. - Reasoning:
Ther2r/pipelines/__init__.py
file has been updated to include theBasicPromptProvider
in the list of imports. This is consistent with the introduction of thePromptProvider
abstraction in this PR. No issues found in this file.
6. r2r/pipelines/basic/embedding.py:57
:
- Assessed confidence :
0%
- Comment:
The updates to theingress
andrun
methods correctly handle the changes in theEmbeddingPipeline
interface. - Reasoning:
Ther2r/pipelines/basic/embedding.py
file has been updated to handle the changes in theEmbeddingPipeline
interface. Theingress
method now correctly returns a dictionary instead of a string. Therun
method now correctly checks that thedocument
parameter is aBasicDocument
instance and not a list. No issues found in this file.
7. r2r/pipelines/basic/prompt_provider.py:6
:
- Assessed confidence :
0%
- Comment:
The implementation of theBasicPromptProvider
class is correct. - Reasoning:
Ther2r/pipelines/basic/prompt_provider.py
file has been added in this PR. It introduces theBasicPromptProvider
class, which extends theDefaultPromptProvider
class from ther2r.core
package. TheBasicPromptProvider
class provides default system and task prompts and methods to get these prompts. The implementation of this class is correct and consistent with the introduction of thePromptProvider
abstraction in this PR. No issues found in this file.
8. r2r/pipelines/basic/rag.py:31
:
- Assessed confidence :
0%
- Comment:
The updates to theBasicRAGPipeline
class correctly handle the changes in theRAGPipeline
interface. - Reasoning:
Ther2r/pipelines/basic/rag.py
file has been updated to handle the changes in theRAGPipeline
interface. TheBasicRAGPipeline
class now correctly uses aPromptProvider
instance instead of system and task prompts. The__init__
method now correctly initializes theprompt_provider
attribute. Thetransform_query
,search
,rerank_results
, and_format_results
methods have not been modified in this PR. No issues found in this file.
9. r2r/pipelines/web_search/rag.py:31
:
- Assessed confidence :
0%
- Comment:
The updates to theWebSearchRAGPipeline
class correctly handle the changes in theRAGPipeline
interface. - Reasoning:
Ther2r/pipelines/web_search/rag.py
file has been updated to handle the changes in theRAGPipeline
interface. TheWebSearchRAGPipeline
class now correctly uses aPromptProvider
instance instead of system and task prompts. The__init__
method now correctly initializes theprompt_provider
attribute. Thetransform_query
,search
,construct_context
, andrerank_results
methods have not been modified in this PR. No issues found in this file.
Workflow ID: wflow_JX8f1I2EpeiVLIUl
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* feat: introduce Config class and update E2EPipelineFactory to use it (#172) * add changes * decouple config * Feature/blast web and chat (#173) * add changes * decouple config * blast web and chat * Feature/prompt provider and type reno (#174) * modify * mostly complete. * tweak types * Feature/add app field to config (#175) * modify * mostly complete. * tweak types * fix config name issue, add app field * tweak imports and all that * Feature/add redis config option (#176) * modify * mostly complete. * tweak types * add redis config option * erase cruft * Feature/add redis config option (#177) * modify * mostly complete. * tweak types * add redis config option * erase cruft * update package deps (#178)
Summary:
This PR involves a major refactoring of the project, including the introduction of a new
PromptProvider
abstraction, updates to theRAGPipeline
and its implementations, changes to theLLMProvider
interface, removal of theRAGCompletion
class, introduction ofRAGPipelineOutput
, and updates toBasicRAGPipeline
andSyntheticRAGPipeline
to usePromptProvider
.Key points:
PromptProvider
abstraction inr2r/core/providers/prompt.py
.RAGPipeline
inr2r/core/pipelines/rag.py
to use the newPromptProvider
.RAGCompletion
class and introduction ofRAGPipelineOutput
inr2r/core/abstractions/output.py
.LLMProvider
interface inr2r/core/providers/llm.py
.BasicRAGPipeline
andSyntheticRAGPipeline
to usePromptProvider
.BasicPromptProvider
inr2r/pipelines/basic/prompt_provider.py
.Generated with ❤️ by ellipsis.dev