FAQ rewriting pipeline #191
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Actionable comments posted: 2
🧹 Nitpick comments (10)
app/pipeline/rephrasing_pipeline.py (2)
51-61: Avoid variable shadowing of 'prompt' parameter in__call__methodThe parameter
promptin the__call__method is being shadowed by a local variable assignment. This can lead to confusion and potential bugs. Consider renaming the local variable to avoid shadowing.Apply this diff to rename the local variables:
if not dto.to_be_rephrased: raise ValueError("You need to provide a text to rephrase") - prompt = system_prompt_faq.format( + formatted_prompt = system_prompt_faq.format( rephrased_text=dto.to_be_rephrased, ) - prompt = PyrisMessage( + formatted_message = PyrisMessage( sender=IrisMessageRole.SYSTEM, - contents=[TextMessageContentDTO(text_content=prompt)], + contents=[TextMessageContentDTO(text_content=formatted_prompt)], ) response = self.request_handler.chat( - [prompt], CompletionArguments(temperature=0.4) + [formatted_message], CompletionArguments(temperature=0.4) )
67-67: Avoid logging potentially sensitive dataLogging the final rephrased text may expose sensitive information in the logs. Consider removing this log statement or ensuring that sensitive data is handled appropriately according to your application's privacy policies.
Apply this diff to modify the log statement:
- logging.info(f"Final rephrased text: {final_result}") + logging.info("Rephrasing completed successfully.")app/domain/status/rephrasing_status_update_dto.py (1)
1-1: Remove unused importCompetencyThe import
Competencyis not used in this file. Removing it will clean up the code.Apply this diff to remove the unused import:
-from app.domain.data.competency_dto import Competency🧰 Tools
🪛 Ruff (0.8.2)
1-1:
app.domain.data.competency_dto.Competencyimported but unusedRemove unused import:
app.domain.data.competency_dto.Competency(F401)
app/domain/rephrasing_pipeline_execution_dto.py (2)
1-1: Remove unused importListThe import
Listfrom thetypingmodule is not used in this file. Removing it will clean up the code.Apply this diff to remove the unused import:
-from typing import List🧰 Tools
🪛 Ruff (0.8.2)
1-1:
typing.Listimported but unusedRemove unused import:
typing.List(F401)
6-6: Remove unused importsCompetencyTaxonomyandCompetencyThe imports
CompetencyTaxonomyandCompetencyare not used in this file. Removing them will improve code maintainability.Apply this diff to remove the unused imports:
-from .data.competency_dto import CompetencyTaxonomy, Competency🧰 Tools
🪛 Ruff (0.8.2)
6-6:
.data.competency_dto.CompetencyTaxonomyimported but unusedRemove unused import
(F401)
6-6:
.data.competency_dto.Competencyimported but unusedRemove unused import
(F401)
app/pipeline/prompts/faq_rephrasal.py (3)
1-2: Fix grammatical error in the prompt.Change "a excellent" to "an excellent" to fix the grammar.
-You are a excellent tutor with expertise in computer science and practical applications teaching an university course. +You are an excellent tutor with expertise in computer science and practical applications teaching a university course.
12-12: Review placement of the {rephrased_text} placeholder.The {rephrased_text} placeholder appears in the middle of the instructions, which could lead to confusion. Consider moving it after all instructions to maintain a clear separation between instructions and input.
10-10: Enhance markdown formatting instructions.The current instruction "keep the markdown formatting intact" is vague. Consider specifying which markdown elements should be preserved (e.g., headers, lists, code blocks, etc.) and how to handle them.
app/web/status/status_update.py (1)
278-296: Consider adjusting the stage weight.The stage weight of 10 seems low compared to other pipelines (e.g., CourseChatStatusCallback uses 40). Consider increasing the weight to better reflect the computational effort of the rephrasing task.
StageDTO( - weight=10, + weight=30, state=StageStateEnum.NOT_STARTED, name="Generating Rephrasing", )app/web/routers/pipelines.py (1)
227-234: Remove TODO-style comments.The comments indicating "Replace with actual..." should be removed as they are no longer needed - the actual implementations are already in place.
- # Replace with actual Callback class callback = RephrasingCallback( run_id=dto.execution.settings.authentication_token, base_url=dto.execution.settings.artemis_base_url, initial_stages=dto.execution.initial_stages, ) - #Replace with actual pipeline RefrasingPipeline pipeline = RephrasingPipeline(callback=callback)
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📒 Files selected for processing (7)
app/common/PipelineEnum.py(1 hunks)app/domain/rephrasing_pipeline_execution_dto.py(1 hunks)app/domain/status/rephrasing_status_update_dto.py(1 hunks)app/pipeline/prompts/faq_rephrasal.py(1 hunks)app/pipeline/rephrasing_pipeline.py(1 hunks)app/web/routers/pipelines.py(4 hunks)app/web/status/status_update.py(2 hunks)
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app/domain/rephrasing_pipeline_execution_dto.py
1-1: typing.List imported but unused
Remove unused import: typing.List
(F401)
6-6: .data.competency_dto.CompetencyTaxonomy imported but unused
Remove unused import
(F401)
6-6: .data.competency_dto.Competency imported but unused
Remove unused import
(F401)
app/domain/status/rephrasing_status_update_dto.py
1-1: app.domain.data.competency_dto.Competency imported but unused
Remove unused import: app.domain.data.competency_dto.Competency
(F401)
🔇 Additional comments (1)
app/common/PipelineEnum.py (1)
17-17: LGTM!The new enum member follows the established naming convention and is correctly placed before the NOT_SET enum.
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Actionable comments posted: 5
🧹 Nitpick comments (8)
app/pipeline/rewriting_pipeline.py (1)
41-46: Remove unused parameters in__call__methodThe parameters
promptand**kwargsin the__call__method are not used. Removing them can simplify the method signature.Apply this diff to remove the unused parameters:
def __call__( self, dto: RewritingPipelineExecutionDTO, - prompt: Optional[ChatPromptTemplate] = None, - **kwargs, ):🧰 Tools
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app/domain/status/rewriting_status_update_dto.py (1)
1-1: Remove unused importCompetencyThe import
Competencyfromapp.domain.data.competency_dtois not used and can be safely removed.Apply this diff to remove the unused import:
-from app.domain.data.competency_dto import Competency🧰 Tools
🪛 Ruff (0.8.2)
1-1:
app.domain.data.competency_dto.Competencyimported but unusedRemove unused import:
app.domain.data.competency_dto.Competency(F401)
app/domain/rewriting_pipeline_execution_dto.py (2)
1-1: Remove unused importListThe import
Listfromtypingis not used and can be removed.Apply this diff to remove the unused import:
-from typing import List🧰 Tools
🪛 Ruff (0.8.2)
1-1:
typing.Listimported but unusedRemove unused import:
typing.List(F401)
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6-6: Remove unused importsCompetencyTaxonomyandCompetencyThe imports
CompetencyTaxonomyandCompetencyfrom.data.competency_dtoare not used and can be removed.Apply this diff to remove the unused imports:
-from .data.competency_dto import CompetencyTaxonomy, Competency🧰 Tools
🪛 Ruff (0.8.2)
6-6:
.data.competency_dto.CompetencyTaxonomyimported but unusedRemove unused import
(F401)
6-6:
.data.competency_dto.Competencyimported but unusedRemove unused import
(F401)
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app/pipeline/prompts/faq_rewriting.py (2)
2-2: Fix grammar in role description.Change "a excellent" to "an excellent" for correct grammar.
-You are a excellent tutor with expertise in computer science and practical applications teaching an university course. +You are an excellent tutor with expertise in computer science and practical applications teaching a university course.🧰 Tools
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4-10: Ensure consistent punctuation in numbered list.The numbered list has inconsistent punctuation at the end of each item. Some end with periods while others don't.
-1. Correct all spelling and grammatical errors. -2. Ensure the text is written in simple and clear language, making it easy to understand for students. -3. Preserve the original meaning and intent of the text. -4. Ensure that the response is always written in complete sentences. If you are given a list of bullet points, convert them into complete sentences. -5. Make sure to use the original language of the input text -6. Avoid repeating any information that is already present in the text. -7. Make sure to keep the markdown formatting intact and add formatting for the most important information +1. Correct all spelling and grammatical errors. +2. Ensure the text is written in simple and clear language, making it easy to understand for students. +3. Preserve the original meaning and intent of the text. +4. Ensure that the response is always written in complete sentences. If you are given a list of bullet points, convert them into complete sentences. +5. Make sure to use the original language of the input text. +6. Avoid repeating any information that is already present in the text. +7. Make sure to keep the markdown formatting intact and add formatting for the most important information.🧰 Tools
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app/web/routers/pipelines.py (2)
233-234: Fix typo and comment style.The comment has a typo ("RefrasingPipeline" instead of "RewritingPipeline") and uses inconsistent comment style.
- #Replace with actual pipeline RefrasingPipeline + # Replace with actual pipeline RewritingPipeline🧰 Tools
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262-262: Remove unnecessary empty lines.Multiple consecutive empty lines can be reduced to a single empty line.
@router.post( "/rewriting/{variant}/run", status_code=status.HTTP_202_ACCEPTED, dependencies=[Depends(TokenValidator())], ) - def run_rewriting_pipeline( - @router.get("/{feature}/variants")Also applies to: 277-277
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📒 Files selected for processing (7)
app/common/PipelineEnum.py(1 hunks)app/domain/rewriting_pipeline_execution_dto.py(1 hunks)app/domain/status/rewriting_status_update_dto.py(1 hunks)app/pipeline/prompts/faq_rewriting.py(1 hunks)app/pipeline/rewriting_pipeline.py(1 hunks)app/web/routers/pipelines.py(4 hunks)app/web/status/status_update.py(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- app/common/PipelineEnum.py
- app/web/status/status_update.py
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app/domain/rewriting_pipeline_execution_dto.py
1-1: typing.List imported but unused
Remove unused import: typing.List
(F401)
6-6: .data.competency_dto.CompetencyTaxonomy imported but unused
Remove unused import
(F401)
6-6: .data.competency_dto.Competency imported but unused
Remove unused import
(F401)
app/domain/status/rewriting_status_update_dto.py
1-1: app.domain.data.competency_dto.Competency imported but unused
Remove unused import: app.domain.data.competency_dto.Competency
(F401)
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app/domain/rewriting_pipeline_execution_dto.py
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app/pipeline/prompts/faq_rewriting.py
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app/pipeline/rewriting_pipeline.py
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app/web/routers/pipelines.py
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🔇 Additional comments (3)
app/web/routers/pipelines.py (3)
244-244: Fix incorrect error message.The error message refers to "extraction" which is incorrect for a rewriting pipeline.
- logger.error(f"Error running rewriting extraction pipeline: {e}") + logger.error(f"Error running rewriting pipeline: {e}")🧰 Tools
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271-271: Avoid logging entire DTO object.Logging the entire DTO object could expose sensitive information.
- logger.info(f"Rewriting pipeline started with variant: {variant} and dto: {dto}") + logger.info(f"Rewriting pipeline started with variant: {variant}")🧰 Tools
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1-349: Format file using Black.The pipeline indicates that this file needs to be reformatted using Black.
Run Black formatter on this file:
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FelixTJDietrich
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Actionable comments posted: 0
🔭 Outside diff range comments (1)
app/web/routers/pipelines.py (1)
Tests missing for pipeline implementations
The rewriting pipeline implementation follows the established patterns and integrates correctly with the existing infrastructure. However, there appears to be no test coverage for any of the pipeline implementations, which is a significant concern. Consider adding tests for:
- Pipeline initialization and execution flows
- Error handling and callback behaviors
- FastAPI endpoint integration
- DTO validation and processing
🔗 Analysis chain
Line range hint
223-347: Verify integration with existing pipeline infrastructure.The rewriting pipeline implementation follows the established patterns and integrates well with the existing infrastructure. However, consider adding tests to verify:
- Pipeline initialization and execution
- Error handling and callback behavior
- Integration with the FastAPI router
Run this script to check for existing tests:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for test coverage of the rewriting pipeline implementation # Look for test files related to the rewriting pipeline rg -l "test.*rewriting.*pipeline" -g "test_*.py" # Check for test cases using the new endpoint rg -A 5 "test.*rewriting.*run" -g "test_*.py"Length of output: 396
Script:
#!/bin/bash # First, find all test files and directories echo "=== Finding test files ===" fd -t f "test_.*\.py$" echo -e "\n=== Searching for rewriting pipeline tests ===" # Search for rewriting-related tests with broader context fd -t f "test_.*\.py$" --exec rg -l "rewriting|RewritingPipeline" echo -e "\n=== Checking test directories structure ===" # List directories containing test files fd -t f "test_.*\.py$" -d 3 --exec dirname {} | sort -uLength of output: 427
Script:
#!/bin/bash # Look for any test-related Python files echo "=== Finding any test-related Python files ===" fd ".*test.*\.py$" echo -e "\n=== Looking for FastAPI test client usage ===" rg "TestClient|pytest" -l -g "*.py" echo -e "\n=== Finding pipeline-related files ===" fd "pipeline" -e pyLength of output: 1690
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🧹 Nitpick comments (2)
app/web/routers/pipelines.py (2)
275-275: Fix formatting: Remove extra blank line.The Black formatter indicates that this file needs reformatting. Remove the extra blank line to comply with the formatting rules.
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338-338: Fix formatting: Remove extra blank line.The Black formatter indicates that this file needs reformatting. Remove the extra blank line to comply with the formatting rules.
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app/web/routers/pipelines.py(4 hunks)
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🔇 Additional comments (4)
app/web/routers/pipelines.py (4)
14-14: LGTM: Import statements are properly organized.The new imports for the rewriting pipeline components are correctly placed and grouped with related imports.
Also applies to: 20-20, 25-25
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223-245: Fix incorrect error message in logging statement.The error message incorrectly mentions "extraction" which seems to be a copy-paste error.
- logger.error(f"Error running rewriting extraction pipeline: {e}") + logger.error(f"Error running rewriting pipeline: {e}")🧰 Tools
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269-269: Avoid logging entire DTO object.Logging the entire DTO object could potentially expose sensitive information.
- logger.info(f"Rewriting pipeline started with variant: {variant} and dto: {dto}") + logger.info(f"Rewriting pipeline started with variant: {variant}")🧰 Tools
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339-346: LGTM: Pipeline variant implementation is consistent.The implementation of the rewriting pipeline variant follows the established pattern and provides appropriate metadata.
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Actionable comments posted: 4
♻️ Duplicate comments (3)
app/pipeline/rewriting_pipeline.py (2)
61-62:⚠️ Potential issueAdd error handling for empty response content.
Accessing
response.contents[0]without checking ifresponse.contentsis not empty may raise anIndexError.Apply this diff to handle empty response content:
- response = response.contents[0].text_content + if response.contents: + response = response.contents[0].text_content + else: + raise ValueError("Empty response from LLM")
63-63:⚠️ Potential issueChange logging level for sensitive information.
Logging the rewritten text at INFO level may expose sensitive information.
Apply this diff to adjust the logging level:
- logging.info(f"Final rewritten text: {final_result}") + logging.debug(f"Final rewritten text: {final_result}")app/web/routers/pipelines.py (1)
266-266:⚠️ Potential issueAvoid logging entire DTO object.
Logging the entire DTO object could expose sensitive information.
Apply this diff to log only necessary information:
- logger.info(f"Rewriting pipeline started with variant: {variant} and dto: {dto}") + logger.info(f"Rewriting pipeline started with variant: {variant}")
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app/domain/rewriting_pipeline_execution_dto.py(1 hunks)app/pipeline/chat/course_chat_pipeline.py(1 hunks)app/pipeline/chat/exercise_chat_agent_pipeline.py(1 hunks)app/pipeline/prompts/faq_rewriting.py(1 hunks)app/pipeline/rewriting_pipeline.py(1 hunks)app/pipeline/shared/citation_pipeline.py(1 hunks)app/web/routers/pipelines.py(4 hunks)app/web/status/status_update.py(2 hunks)
✅ Files skipped from review due to trivial changes (3)
- app/pipeline/shared/citation_pipeline.py
- app/pipeline/chat/course_chat_pipeline.py
- app/pipeline/chat/exercise_chat_agent_pipeline.py
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app/pipeline/prompts/faq_rewriting.py
[warning] 2-2: Line too long (207 characters, limit is 120)
[warning] 7-7: Line too long (148 characters, limit is 120)
[warning] 14-14: Line too long (203 characters, limit is 120)
app/domain/rewriting_pipeline_execution_dto.py
[warning] 1-1: Unused import: 'typing.List' is imported but never used
[warning] 6-6: Unused import: '.data.competency_dto.CompetencyTaxonomy' is imported but never used
[warning] 6-6: Unused import: '.data.competency_dto.Competency' is imported but never used
🪛 Ruff (0.8.2)
app/domain/rewriting_pipeline_execution_dto.py
1-1: typing.List imported but unused
Remove unused import: typing.List
(F401)
6-6: .data.competency_dto.CompetencyTaxonomy imported but unused
Remove unused import
(F401)
6-6: .data.competency_dto.Competency imported but unused
Remove unused import
(F401)
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🔇 Additional comments (5)
app/domain/rewriting_pipeline_execution_dto.py (1)
9-11: LGTM! Clean and well-structured DTO.The DTO class is well-designed with:
- Clear inheritance from BaseModel
- Proper use of Field for JSON alias mapping
- Appropriate type hints
app/pipeline/prompts/faq_rewriting.py (1)
1-15: LGTM! Well-structured prompt with clear instructions.The prompt provides clear and comprehensive instructions for the AI model with:
- Specific tasks enumerated
- Emphasis on maintaining original meaning
- Clear formatting requirements
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[warning] 2-2: Line too long (207 characters, limit is 120)
[warning] 7-7: Line too long (148 characters, limit is 120)
[warning] 14-14: Line too long (203 characters, limit is 120)
app/pipeline/rewriting_pipeline.py (1)
27-38: LGTM! Well-structured constructor with appropriate initialization.The constructor properly:
- Calls the parent constructor
- Initializes the callback
- Sets up the request handler with specific requirements
app/web/routers/pipelines.py (2)
260-269: LGTM! Well-structured endpoint with proper authentication.The endpoint implementation:
- Uses proper HTTP status codes
- Includes token validation
- Follows the pattern of other pipeline endpoints
241-241:⚠️ Potential issueFix incorrect error message.
The error message refers to "extraction" which is incorrect for the rewriting pipeline.
Apply this diff to fix the error message:
- logger.error(f"Error running rewriting extraction pipeline: {e}") + logger.error(f"Error running rewriting pipeline: {e}")Likely invalid or redundant comment.
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Actionable comments posted: 2
🧹 Nitpick comments (1)
app/pipeline/rewriting_pipeline.py (1)
38-43: Add return type hint to call method.The method is missing a return type annotation.
def __call__( self, dto: RewritingPipelineExecutionDTO, prompt: Optional[ChatPromptTemplate] = None, **kwargs, - ): + ) -> str:
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app/domain/rewriting_pipeline_execution_dto.py(1 hunks)app/pipeline/prompts/faq_rewriting.py(1 hunks)app/pipeline/rewriting_pipeline.py(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- app/domain/rewriting_pipeline_execution_dto.py
- app/pipeline/prompts/faq_rewriting.py
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app/pipeline/rewriting_pipeline.py
12-12: app.domain.data.competency_dto.Competency imported but unused
Remove unused import: app.domain.data.competency_dto.Competency
(F401)
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app/pipeline/rewriting_pipeline.py
[error] 12-12: Unused import: 'app.domain.data.competency_dto.Competency' imported but unused
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🔇 Additional comments (4)
app/pipeline/rewriting_pipeline.py (4)
32-33: Verify GPT model requirements.The GPT version (4.5) and context length (16385) specifications seem unusual:
- GPT-4.5 is not a standard version
- Context length is typically a power of 2 (e.g., 16384)
Please verify these requirements match the intended model specifications.
60-60: Add validation for response contents.Direct access to
response.contents[0]could raise an IndexError if the response is empty.
62-62: Adjust logging level for sensitive content.Logging the rewritten text at INFO level could expose sensitive information.
25-25:⚠️ Potential issueRemove unused output_parser declaration.
The
output_parseris declared but never used in the code.- output_parser: PydanticOutputParserLikely invalid or redundant comment.
FelixTJDietrich
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Actionable comments posted: 0
🧹 Nitpick comments (5)
app/pipeline/prompts/faq_rewriting.py (5)
1-4: Add type annotation for better type safety.Consider adding a type annotation to the variable declaration:
-system_prompt_faq = """: +system_prompt_faq: str = """:🧰 Tools
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9-9: Capitalize proper noun "german".Proper nouns should be capitalized:
-5. Original Language: Use the same language as the input text. The input text will be either german or english. +5. Original Language: Use the same language as the input text. The input text will be either German or English.🧰 Tools
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5-12: Consider adding examples for each guideline.To make the guidelines more actionable, consider adding brief examples for each point. This would help ensure consistent output across different model responses.
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13-14: Specify the criteria for "short inputs".The current instruction for handling short inputs is ambiguous. Consider defining specific criteria (e.g., minimum character count or sentence structure) to ensure consistent handling.
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26-28: Consider using unique markers and specify string formatting method.Two suggestions for improvement:
- Use more unique markers to avoid potential conflicts with markdown content (e.g.,
###PYRIS_START###).- Document the expected string formatting method:
# Example usage: prompt = system_prompt_faq.format(rewritten_text="input text")🧰 Tools
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🔇 Additional comments (2)
app/pipeline/prompts/faq_rewriting.py (2)
16-16: Remove trailing whitespace.Remove the trailing whitespace at the end of line 16.
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