Closed Prathit-tech closed 3 months ago
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โฑ๏ธ Estimated effort to review [1-5] | 2 |
๐งช Relevant tests | No |
๐ Security concerns | No |
โก Key issues to review |
Possible Bug: The string concatenation in the agent.chat call in main.py might not include proper spacing between concatenated strings, which could lead to a malformed output. Consider adding spaces around + operators. |
Code Consistency: The use of single quotes for 'COMPOSIO_API_KEY' and double quotes for other strings in main.py should be made consistent to follow best practices. |
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Category | Suggestion | Score |
Best practice |
Use f-strings for better readability and to avoid potential issues with string concatenation___ **The string concatenation in theagent.chat call can be improved for better readability and to avoid potential issues with missing spaces. Using an f-string would make the code cleaner and more readable.** [python/examples/sql_agent/sql_agent_plotter_llama_index/main.py [39-40]](https://github.com/ComposioHQ/composio/pull/194/files#diff-0a4f1947c27e6fa99c9965d43d845b6a8dee01782ba14f51e3c24ac45ff9e021R39-R40) ```diff response = agent.chat( - "Database description ="+ human_description +"Task to perform:" + human_input + f"Database description = {human_description}. Task to perform: {human_input}" ) ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 8Why: The suggestion correctly identifies a readability and potential error issue with string concatenation and proposes a cleaner solution using f-strings, which is a best practice in Python. | 8 |
Possible issue |
Add error handling for missing
___
**The | 7 |
Add error handling for missing
___
**The | 7 | |
Enhancement |
Correct a typo in the documentation for better readability___ **Fix the typo "queriesm" to "queries" for better readability and professionalism.** [python/examples/sql_agent/sql_agent_plotter_crewai/readme.md [3]](https://github.com/ComposioHQ/composio/pull/194/files#diff-e8bfd3023bb50ee93be91aa853ff2a5d139af9df20183df227de3cdc58dec9e0R3-R3) ```diff -This guide provides detailed steps to create a SQL agent that leverages CrewAI, Composio, and ChatGPT to execute SQL queriesm, document them and plot graphs based on them. +This guide provides detailed steps to create a SQL agent that leverages CrewAI, Composio, and ChatGPT to execute SQL queries, document them and plot graphs based on them. ``` - [ ] **Apply this suggestion**Suggestion importance[1-10]: 5Why: Fixing typos in documentation is important for professionalism and clarity. This suggestion correctly identifies and fixes a typo, enhancing the readability of the document. | 5 |
PR Type
Enhancement, Documentation
Description
Changes walkthrough ๐
main.py
Update SQL agent to use LlamaIndex and dotenv
python/examples/sql_agent/sql_agent_plotter_llama_index/main.py
composio_langchain
withcomposio_llamaindex
import.dotenv.load_dotenv()
call.openai_api_key
parameter fromOpenAI
instantiation.agent.chat
call.readme.md
Update SQL agent guide to include LlamaIndex
python/examples/sql_agent/readme.md - Updated guide to include LlamaIndex and other agentic frameworks.
readme.md
Enhance CrewAI SQL agent guide with examples
python/examples/sql_agent/sql_agent_plotter_crewai/readme.md - Added links to coding guide and sample output images.
readme.md
Enhance LlamaIndex SQL agent guide with examples
python/examples/sql_agent/sql_agent_plotter_llama_index/readme.md