ovachiever
commented
4 months ago Of course, it suddenly made sense to ask claude-engineer which characters it was having trouble encoding, here are is that result:
Based on the information in Chat_0955.md, the create_file tool is having trouble encoding certain special characters. Specifically, it encountered an error with characters in positions 432-434 of the │ │ content. The error message states: │ │ │ │ │ │ "Error creating file: 'charmap' codec can't encode characters in position 432-434: character maps to " │ │ │ │ This suggests that the problematic characters are likely to be non-ASCII characters, possibly Unicode box-drawing characters or other special symbols used in the folder structure representation. These │ │ characters are: │ │ │ │ • ├ (U+251C) │ │ • ─ (U+2500) │ │ • │ (U+2502) │ │ │ │ These characters are used to create the tree-like structure in the folder hierarchy visualization. The 'charmap' codec, which is likely the default encoding being used, doesn't support these Unicode │ │ characters. │ │ │ │ To resolve this issue, we can: │ │ │ │ 1 Replace these special characters with ASCII alternatives (e.g., using "|--" instead of "├──"). │ │ 2 Ensure that the file is being created with a Unicode-compatible encoding (e.g., UTF-8). │ │ 3 Use simpler ASCII-only representations for the folder structure. │ │ │ │ In the subsequent attempt, we successfully created the file by using a simplified ASCII-only representation of the folder structure, avoiding the use of these special Unicode characters altogether.
Issue: create_file tool causes error
Error: "Error creating file: 'charmap' codec can't encode characters in position 432-434: character maps to"
Prompt: take the results of Chat_0927.md where you went through a repo and created an understanding of folder and file structure through automode, and produce a new nicely formatted markdown file of only the results, so that it can be made into a reference sheet.
Tool input:
│ Tool Input: { │ │ "path": "folder_structure_reference.md", │ │ "content": "# Versova-Query Project: Folder Structure and File Workings Reference\n\n## Project Overview\n\nVersova-Query is a sql-to-text program that uses a semantic engine to process metadata, schema, │ │ terminology, and data relationships. It connects to a data source (e.g., MSSQL), extracts schema and metadata, and uses natural language processing to generate SQL queries based on user input.\n\n## Folder │ │ Structure\n\n```\nversova-query/\n\u251c\u2500\u2500 .editorconfig\n\u251c\u2500\u2500 .git\n\u251c\u2500\u2500 .github\n\u251c\u2500\u2500 .gitignore\n\u251c\u2500\u2500 │ │ CODE_OF_CONDUCT.md\n\u251c\u2500\u2500 deployment/\n\u251c\u2500\u2500 docker/\n\u251c\u2500\u2500 LICENSE\n\u251c\u2500\u2500 misc/\n\u251c\u2500\u2500 README.md\n\u251c\u2500\u2500 │ │ SECURITY.md\n\u251c\u2500\u2500 wren-ai-service/\n\u2502 \u251c\u2500\u2500 .bashrc\n\u2502 \u251c\u2500\u2500 .dockerignore\n\u2502 \u251c\u2500\u2500 .env.dev.example\n\u2502 \u251c\u2500\u2500 │ │ .pre-commit-config.yaml\n\u2502 \u251c\u2500\u2500 bashrc\n\u2502 \u251c\u2500\u2500 demo/\n\u2502 \u251c\u2500\u2500 docker/\n\u2502 \u251c\u2500\u2500 entrypoint.sh\n\u2502 \u251c\u2500\u2500 │ │ Makefile\n\u2502 \u251c\u2500\u2500 poetry.lock\n\u2502 \u251c\u2500\u2500 pyproject.toml\n\u2502 \u251c\u2500\u2500 README.md\n\u2502 \u251c\u2500\u2500 ruff.toml\n\u2502 \u251c\u2500\u2500 │ │ src/\n\u2502 \u2502 \u251c\u2500\u2500 core/\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 engine.py\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 pipeline.py\n\u2502 \u2502 \u2502 │ │ \u251c\u2500\u2500 provider.py\n\u2502 \u2502 \u2502 \u2514\u2500\u2500 __init__.py\n\u2502 \u2502 \u251c\u2500\u2500 eval/\n\u2502 \u2502 \u251c\u2500\u2500 force_deploy.py\n\u2502 \u2502 │ │ \u251c\u2500\u2500 globals.py\n\u2502 \u2502 \u251c\u2500\u2500 pipelines/\n\u2502 \u2502 \u251c\u2500\u2500 prepare_mdl_json.py\n\u2502 \u2502 \u251c\u2500\u2500 providers/\n\u2502 \u2502 │ │ \u251c\u2500\u2500 utils.py\n\u2502 \u2502 \u251c\u2500\u2500 web/\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 development.py\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 v1/\n\u2502 \u2502 │ │ \u2502 \u2502 \u251c\u2500\u2500 routers.py\n\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 services/\n\u2502 \u2502 \u2502 \u2502 \u2502 \u2514\u2500\u2500 ask.py\n\u2502 \u2502 │ │ \u2502 \u2502 \u2514\u2500\u2500 __init__.py\n\u2502 \u2502 \u2502 \u2514\u2500\u2500 __init__.py\n\u2502 \u2502 \u251c\u2500\u2500 __init__.py\n\u2502 \u2502 \u2514\u2500\u2500 │ │ __main__.py\n\u2502 \u251c\u2500\u2500 tests/\n\u2502 \u2514\u2500\u2500 tools/\n\u251c\u2500\u2500 wren-launcher/\n\u251c\u2500\u2500 wren-mdl/\n\u2514\u2500\u2500 wren-ui/\n```\n\n## Key Components │ │ and Their Functions\n\n1. wren-ai-service: Core AI service for processing queries and generating SQL\n - src/core: Contains core functionality\n - engine.py: Defines the Engine class for SQL │ │ processing\n - pipeline.py: Implements data processing pipelines\n - provider.py: Defines provider interfaces for LLM, Embedder, and DocumentStore\n - src/web: Implements the web API\n - │ │ v1/routers.py: Defines API routes\n - v1/services/ask.py: Implements the AskService for query processing\n\n2. wren-launcher: Scripts or configuration to launch the entire system\n\n3. wren-mdl: │ │ Related to the Modeling Definition Language\n\n4. wren-ui: User interface component\n\n## File Workings\n\n1. engine.py:\n - Defines an abstract Engine class with a dry_run_sql method\n - Includes │ │ utility functions for cleaning and processing SQL queries\n\n2. pipeline.py:\n - Defines a BasicPipeline abstract class\n - Implements async_validate function for asynchronous task validation\n\n3. │ │ provider.py:\n - Defines abstract classes for LLMProvider, EmbedderProvider, and DocumentStoreProvider\n - These classes serve as interfaces for different components of the system\n\n4. routers.py:\n │ │ - Implements FastAPI routes for the web API\n - Handles requests for semantics preparation, query submission, and result retrieval\n\n5. ask.py:\n - Implements the AskService class, which handles the │ │ core functionality of processing natural language queries\n - Includes methods for semantics preparation, query processing, and result retrieval\n - Implements a pipeline for understanding, searching, │ │ and generating SQL from natural language queries\n\n## Key Processes\n\n1. Semantic Preparation:\n - Processes MDL (Modeling Definition Language) to prepare semantic information\n - Indexes the │ │ prepared semantics for efficient querying\n\n2. Query Processing:\n - Receives natural language query\n - Retrieves relevant documents based on the query\n - Generates SQL using LLM (Large Language │ │ Model)\n - Performs SQL correction if needed\n - Returns top 3 most relevant results\n\n3. Historical and Follow-up Queries:\n - Supports processing of historical questions\n - Handles follow-up │ │ queries by considering previous context\n\n4. Error Handling:\n - Implements comprehensive error handling for various scenarios (e.g., no relevant data, no relevant SQL)\n\n5. Asynchronous Processing:\n │ │ - Uses asyncio for efficient handling of potentially long-running operations\n\nThis reference sheet provides an overview of the Versova-Query project's folder structure and key file workings. For more │ │ detailed information on specific components or processes, refer to the individual files and their documentation." │ │ }Result 1: sat at error and couldn't even break out of the python scrips, had to close the terminal completely Result 2: tried again, this time it did realize there were special characters that were causing the error and successfully reproduced the file. However, this file was overly simplified and not very useful, as most of the content I'd want was stripped in order for it to succeed.