adding frontend to codebase for ease of local dev use.

aarushik93 commented 1 month ago

User description

PR Type

Enhancement, Documentation

Description

Added a new Streamlit frontend for interacting with the Codex service.
Implemented CodexClient class for handling API interactions with methods for creating apps, starting interviews, generating specs, deliverables, and deployments.
Defined Pydantic models for API requests and responses.
Created Dockerfile for the frontend service and updated Docker Compose configuration to include the frontend.
Updated README to include instructions for running the frontend service.
Added Streamlit as a dependency in pyproject.toml.

Changes walkthrough 📝

Relevant files

Enhancement

chat.py `Add Streamlit frontend for Codex service interaction` frontend/chat.py Added a Streamlit app for interacting with the Codex service. Implemented functions for creating apps, handling interviews, generating specs, deliverables, and deployments. Set up session state management and logging.	+185/-0
codex_client.py `Implement CodexClient for Codex API interaction` frontend/codex_client.py Implemented CodexClient class for interacting with the Codex API. Added methods for creating apps, starting interviews, generating specs, deliverables, and deployments. Included error handling and logging.	+415/-0
codex_model.py `Define Pydantic models for Codex API` frontend/codex_model.py Defined Pydantic models for Codex API responses and requests. Included models for users, applications, interviews, specs, deliverables, and deployments.	+210/-0

Configuration changes

Dockerfile.frontend `Add Dockerfile for Streamlit frontend service` Dockerfile.frontend Created Dockerfile for the frontend service using Streamlit. Set up environment variables and installed dependencies using Poetry. Configured the container to run the Streamlit app.	+37/-0
docker-compose.full.yml `Update Docker Compose to include frontend service` docker-compose.full.yml Added frontend service to Docker Compose configuration. Configured frontend to depend on the backend service.	+13/-1

Documentation

README.md

Update README with frontend service instructions

README.md

Updated README to include instructions for running the frontend
service.

+2/-0

Dependencies

pyproject.toml

Add Streamlit dependency

pyproject.toml - Added Streamlit as a dependency.

+1/-0

💡 PR-Agent usage: Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

aarushik93 commented 1 month ago

/review auto_approve

codiumai-pr-agent-pro[bot] commented 1 month ago

Auto-approved PR

codiumai-pr-agent-pro[bot] commented 1 month ago

PR Description updated to latest commit (https://github.com/Significant-Gravitas/AutoGPT-code-ability/commit/8a0d2abf73012789245138c98486dab7932f1e6d)

[ ] Copy walkthrough table to "Files Changed" Tab

codiumai-pr-agent-pro[bot] commented 1 month ago

CI Failure Feedback 🧐

(Checks updated until commit https://github.com/Significant-Gravitas/AutoGPT-code-ability/commit/8a0d2abf73012789245138c98486dab7932f1e6d)

**Action:** code-quality

**Failed stage:** [Run ruff formatter](https://github.com/Significant-Gravitas/AutoGPT-code-ability/actions/runs/9448550434/job/26022800378) [❌]

**Failure summary:** The action failed due to multiple linting errors detected by the linter:

frontend/codex_client.py has multiple instances (lines 370-375) of the error F405, indicating that
Optional may be undefined or defined from star imports.

frontend/codex_model.py has two instances (line 6) of the error F401, indicating that
pydantic.ConfigDict and pydantic.EmailStr are imported but unused.

A total of 47 errors were found, with 6 fixable using the --fix option.

Relevant error logs:

```yaml 1: ##[group]Operating System 2: Ubuntu ... 513: frontend/codex_client.py:370:19: F405 `Optional` may be undefined, or defined from star imports 514: frontend/codex_client.py:371:17: F405 `Optional` may be undefined, or defined from star imports 515: frontend/codex_client.py:372:23: F405 `Optional` may be undefined, or defined from star imports 516: frontend/codex_client.py:373:18: F405 `Optional` may be undefined, or defined from star imports 517: frontend/codex_client.py:374:25: F405 `Optional` may be undefined, or defined from star imports 518: frontend/codex_client.py:375:24: F405 `Optional` may be undefined, or defined from star imports 519: frontend/codex_model.py:6:33: F401 [*] `pydantic.ConfigDict` imported but unused 520: frontend/codex_model.py:6:45: F401 [*] `pydantic.EmailStr` imported but unused 521: Found 47 errors. 522: [*] 6 fixable with the `--fix` option. 523: ##[error]Process completed with exit code 1. ```

✨ CI feedback usage guide:

The CI feedback tool (`/checks)` automatically triggers when a PR has a failed check. The tool analyzes the failed checks and provides several feedbacks: - Failed stage - Failed test name - Failure summary - Relevant error logs In addition to being automatically triggered, the tool can also be invoked manually by commenting on a PR: ``` /checks "https://github.com/{repo_name}/actions/runs/{run_number}/job/{job_number}" ``` where `{repo_name}` is the name of the repository, `{run_number}` is the run number of the failed check, and `{job_number}` is the job number of the failed check. #### Configuration options - `enable_auto_checks_feedback` - if set to true, the tool will automatically provide feedback when a check is failed. Default is true. - `excluded_checks_list` - a list of checks to exclude from the feedback, for example: ["check1", "check2"]. Default is an empty list. - `enable_help_text` - if set to true, the tool will provide a help message with the feedback. Default is true. - `persistent_comment` - if set to true, the tool will overwrite a previous checks comment with the new feedback. Default is true. - `final_update_message` - if `persistent_comment` is true and updating a previous checks message, the tool will also create a new message: "Persistent checks updated to latest commit". Default is true. See more information about the `checks` tool in the [docs](https://pr-agent-docs.codium.ai/tools/ci_feedback/).

codiumai-pr-agent-pro[bot] commented 1 month ago

PR Reviewer Guide 🔍

⏱️ Estimated effort to review [1-5]	4
🧪 Relevant tests	No
🔒 Security concerns	No
⚡ Key issues to review	Possible Bug: The use of hardcoded user IDs and Codex IDs in `codex_client.py` could lead to security and functionality issues. Consider implementing a dynamic way to handle user sessions.
	Error Handling: The error handling in asynchronous functions across `codex_client.py` seems to be inconsistent and might not cover all failure scenarios effectively. Review and enhance error handling to ensure robustness.
	Code Duplication: There is noticeable duplication in API call methods within `codex_client.py`. Refactoring to a more modular approach could improve maintainability.
	Async Flow Control: The flow of asynchronous operations in `chat.py` could lead to race conditions or unhandled promises. Ensure that all async operations are properly awaited and managed.

codiumai-pr-agent-pro[bot] commented 1 month ago

PR Code Suggestions ✨

Category	Suggestion	Score
Possible bug	Ensure that the `load_github_repo` function is defined or imported to avoid a `NameError` ___ The `load_github_repo` function is called in the `main` function but is not defined anywhere in the code. This will cause a `NameError` when `st.session_state.progress` is 5. Ensure that the `load_github_repo` function is defined or imported correctly. [frontend/chat.py [166]](https://github.com/Significant-Gravitas/AutoGPT-code-ability/pull/285/files#diff-3da0d84fcd1dc4fa3dfe89f8d5493705e80dc54c3aa09a97fab48d3ad36bacedR166-R166) ```diff -await load_github_repo() +await load_github_repo() # Ensure load_github_repo is defined or imported ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 10 Why: This is a critical suggestion as the missing definition or import of `load_github_repo` will cause a runtime error when the progress state is 5, potentially breaking the application.	10
Enhancement	Make user data parameters configurable instead of hardcoded ___ Instead of hardcoding the user data in the `init` method, consider passing these values as parameters with default values. This will make the code more flexible and easier to test. [frontend/codex_client.py [65-71]](https://github.com/Significant-Gravitas/AutoGPT-code-ability/pull/285/files#diff-25e71d1cc0f59686495c72feff2a71140dd9cd2c4e1255453b189b36234c65a0R65-R71) ```diff -self.codex_user_id = HARDCODED_CODEX_ID -self.user_id = HARDCODED_USER_ID +self.codex_user_id = codex_user_id or HARDCODED_CODEX_ID +self.user_id = cloud_services_user_id or HARDCODED_USER_ID self.user = { - "id": HARDCODED_USER_ID, - "codexId": HARDCODED_CODEX_ID, + "id": self.user_id, + "codexId": self.codex_user_id, "discordId": HARDCODED_DISCORD_ID, } ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 8 Why: The suggestion correctly identifies a significant improvement by making hardcoded user data configurable, which enhances flexibility and testability.	8
Possible issue	Add a condition to prevent infinite loops caused by `st.experimental_rerun` ___ The `generate_spec` and `generate_deliverable` functions both call `st.experimental_rerun()`, which can cause the entire script to rerun and potentially lead to infinite loops. Consider adding a condition to prevent rerunning if the state is already updated. [frontend/chat.py [102]](https://github.com/Significant-Gravitas/AutoGPT-code-ability/pull/285/files#diff-3da0d84fcd1dc4fa3dfe89f8d5493705e80dc54c3aa09a97fab48d3ad36bacedR102-R102) ```diff -st.experimental_rerun() +if st.session_state.progress < 3: + st.experimental_rerun() ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 8 Why: This suggestion addresses a potential issue of infinite loops, which is crucial for maintaining the stability and efficiency of the application.	8

Significant-Gravitas / AutoGPT-Code-Ability