stwhite
/
ira
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update session log with progressive report generation planning

This commit is contained in:
Steve White 2025-03-12 10:28:11 -05:00
parent 053f4a99da
commit 6f6c29e8a5
1 changed files with 21 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

27
.note/session_log.md
View File

@ -791,7 +791,7 @@ Focused on resolving issues with the report generation template system and ensur
## Session: 2025-03-12 ## Session: 2025-03-12
### Overview ### Overview
Implemented a dedicated report templates module to standardize report generation across different query types and detail levels. Implemented a dedicated report templates module to standardize report generation across different query types and detail levels, and planned progressive report generation for comprehensive reports.
### Key Activities ### Key Activities
1. **Created Report Templates Module**: 1. **Created Report Templates Module**:
@ -812,8 +812,16 @@ Implemented a dedicated report templates module to standardize report generation
- Implemented `test_brief_report.py` to test brief report generation with a simple query - Implemented `test_brief_report.py` to test brief report generation with a simple query
- Verified that all templates can be correctly retrieved and used - Verified that all templates can be correctly retrieved and used
4. **Updated Memory Bank**: 4. **Planned Progressive Report Generation**:
- Analyzed the current map-reduce approach for handling large document collections
- Identified limitations with the current approach for very large document sets
- Designed a progressive report generation approach for comprehensive detail level
- Created a detailed implementation plan with four phases
- Developed a hybrid strategy that uses map-reduce for brief/standard/detailed levels and progressive generation for comprehensive level
5. **Updated Memory Bank**:
- Added report templates information to code_structure.md - Added report templates information to code_structure.md
- Updated current_focus.md with implementation plan for progressive report generation
- Updated session_log.md with details about the implementation - Updated session_log.md with details about the implementation
- Ensured all new files are properly documented - Ensured all new files are properly documented
@ -822,14 +830,21 @@ Implemented a dedicated report templates module to standardize report generation
- Different query types require specialized report structures - Different query types require specialized report structures
- Validation ensures all required sections are present in templates - Validation ensures all required sections are present in templates
- Enums provide type safety and prevent errors from string comparisons - Enums provide type safety and prevent errors from string comparisons
- Progressive report generation could provide better results for very large document collections
- A hybrid approach leverages the strengths of both map-reduce and progressive methods
### Challenges ### Challenges
- Designing templates that are flexible enough for various content types - Designing templates that are flexible enough for various content types
- Balancing between standardization and customization for different query types - Balancing between standardization and customization for different query types
- Ensuring proper integration with the existing report synthesis process - Ensuring proper integration with the existing report synthesis process
- Managing state and tracking progress in progressive report generation
- Preventing entrenchment of initial report structure in progressive approach
- Optimizing token usage when sending entire reports for refinement
### Next Steps ### Next Steps
1. Integrate the template system with the UI to allow users to select detail levels 1. Implement the core functionality for progressive report generation
2. Add more specialized templates for specific research domains 2. Add model flexibility to support different LLMs beyond Gemini
3. Implement template customization options for users 3. Integrate the progressive approach with the UI
4. Create a visual preview of templates in the UI 4. Conduct comprehensive testing and optimization
5. Add specialized templates for specific research domains
6. Implement template customization options for users