Update setup.py

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,38 +0,0 @@
-name: "\U0001FAB2 Bug Report"
-description: Submit a bug report
-labels: ["bug"]
-body:
-
-  - type: dropdown
-    id: information-git-provider
-    attributes:
-      label: Git provider
-      description: 'The problem arises when using:'
-      options:
-        - "Github Cloud"
-        - "Github Enterprise"
-        - "Gitlab"
-        - "Bitbucket Cloud"
-        - "Bitbucket Server"
-        - "Azure"
-        - "Other"
-    validations:
-      required: true
-
-  - type: textarea
-    id: system-info
-    attributes:
-      label: System Info
-      description: Please share your system info with us.
-      placeholder: model used, deployment type (action/app/cli/...), etc...
-    validations:
-      required: true
-
-  - type: textarea
-    id: bug-details
-    attributes:
-      label: Bug details
-      description: Please describe the problem.
-      placeholder: Describe the problem
-    validations:
-      required: true

.github/ISSUE_TEMPLATE/config.yml

@@ -1,10 +0,0 @@
-blank_issues_enabled: false
-version: 0.1
-contact_links:
-  - name: Discussions
-    url: https://github.com/qodo-ai/pr-agent/discussions
-    about: GitHub Discussions
-
-  - name: Discord community
-    url: https://discord.com/channels/1057273017547378788/1126104260430528613
-    about: Join our discord community

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -1,21 +0,0 @@
-name: "\U0001F4A1 Feature request"
-description: Submit a proposal/request for a new PR-Agent feature
-labels: ["feature"]
-body:
-  - type: textarea
-    id: feature-request
-    validations:
-      required: true
-    attributes:
-      label: Feature request
-      description: |
-        Description of the feature proposal.
-
-  - type: textarea
-    id: motivation
-    validations:
-      required: true
-    attributes:
-      label: Motivation
-      description: |
-        Outline the motivation for the proposal.

.github/ISSUE_TEMPLATE/miscellaneous.yml

@@ -1,36 +0,0 @@
-name: "❔ General Issue"
-description: Submit a general issue
-labels: ["general"]
-body:
-
-  - type: dropdown
-    id: information-git-provider
-    attributes:
-      label: Git provider (optional)
-      description: 'Git Provider:'
-      options:
-        - "Github Cloud"
-        - "Github Enterprise"
-        - "Gitlab"
-        - "Bitbucket Cloud"
-        - "Bitbucket Server"
-        - "Azure"
-        - "Other"
-
-  - type: textarea
-    id: system-info
-    attributes:
-      label: System Info (optional)
-      description: Please share your system info with us.
-      placeholder: model used, deployment type (action/app/cli/...), etc...
-    validations:
-      required: false
-
-  - type: textarea
-    id: issues-details
-    attributes:
-      label: Issues details
-      description: Please share the issues details.
-      placeholder: Describe the issue
-    validations:
-      required: true

CODE_OF_CONDUCT.md

@@ -1,45 +0,0 @@
-# Contributor Code of Conduct
-
-As contributors and maintainers of this project, and in the interest of fostering an open
-and welcoming community, we pledge to respect all people who contribute through reporting
-issues, posting feature requests, updating documentation, submitting pull requests or
-patches, and other activities.
-
-We are committed to making participation in this project a harassment-free experience for
-everyone, regardless of level of experience, gender, gender identity and expression,
-sexual orientation, disability, personal appearance, body size, race, ethnicity, age,
-religion, or nationality.
-
-Examples of unacceptable behavior by participants include:
-
-* The use of sexualized language or imagery
-* Personal attacks
-* Trolling or insulting/derogatory comments
-* Public or private harassment
-* Publishing other's private information, such as physical or electronic addresses,
-  without explicit permission
-* Other unethical or unprofessional conduct
-
-Project maintainers have the right and responsibility to remove, edit, or reject comments,
-commits, code, wiki edits, issues, and other contributions that are not aligned to this
-Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors
-that they deem inappropriate, threatening, offensive, or harmful.
-
-By adopting this Code of Conduct, project maintainers commit themselves to fairly and
-consistently applying these principles to every aspect of managing this project. Project
-maintainers who do not follow or enforce the Code of Conduct may be permanently removed
-from the project team.
-
-This Code of Conduct applies both within project spaces and in public spaces when an
-individual is representing the project or its community.
-
-Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by
-contacting a project maintainer at tal.r@qodo.ai . All complaints will
-be reviewed and investigated and will result in a response that is deemed necessary and
-appropriate to the circumstances. Maintainers are obligated to maintain confidentiality
-with regard to the reporter of an incident.
-
-This Code of Conduct is adapted from the
-[Contributor Covenant](https://contributor-covenant.org), version 1.3.0, available at
-[contributor-covenant.org/version/1/3/0/](https://contributor-covenant.org/version/1/3/0/)
-

CONTRIBUTING.md

@@ -1,38 +0,0 @@
-# Contributing to PR-Agent
-
-Thank you for your interest in contributing to the PR-Agent project! 
-
-## Getting Started
-
-1. Fork the repository and clone your fork
-2. Install Python 3.10 or higher
-3. Install dependencies (`requirements.txt` and `requirements-dev.txt`)
-4. Create a new branch for your contribution:
-   - For new features: `git checkout -b feature/your-feature-name`
-   - For bug fixes: `git checkout -b fix/issue-description`
-5. Make your changes
-6. Write or update tests as needed
-7. Run tests locally to ensure everything passes
-8. Commit your changes using conventional commit messages
-9. Push to your fork and submit a pull request
-
-## Development Guidelines
-
-- Keep pull requests focused on a single feature or fix
-- Follow the existing code style and formatting conventions
-- Add unit tests for any new functionality using pytest
-- Ensure test coverage for your changes
-- Update documentation as needed
-
-## Pull Request Process
-
-1. Ensure your PR includes a clear description of the changes
-2. Link any related issues
-3. Update the README.md if needed
-4. Wait for review from maintainers
-
-## Questions or Need Help?
-
-- Join our [Discord community](https://discord.com/channels/1057273017547378788/1126104260430528613) for questions and discussions
-- Check the [documentation](https://qodo-merge-docs.qodo.ai/) for detailed information
-- Report bugs or request features through [GitHub Issues](https://github.com/qodo-ai/pr-agent/issues)

PULL_REQUEST_TEMPLATE.md

@@ -1,48 +0,0 @@
-## 📌 Pull Request Template
-
-### 1️⃣ Short Description
-<!-- Provide a concise summary of the changes in this PR. -->
-
----
-
-### 2️⃣ Related Open Issue
-<!-- Link the related issue(s) this PR is addressing, e.g., Fixes #123 or Closes #456. -->
-Fixes #
-
----
-
-### 3️⃣ PR Type
-<!-- Select one of the following by marking `[x]` -->
-
-- [ ] 🐞 Bug Fix
-- [ ] ✨ New Feature
-- [ ] 🔄 Refactoring
-- [ ] 📖 Documentation Update
-
----
-
-### 4️⃣ Does this PR Introduce a Breaking Change?
-<!-- Mark the applicable option -->
-- [ ] ❌ No
-- [ ] ⚠️ Yes (Explain below)
-
-If **yes**, describe the impact and necessary migration steps:
-<!-- Provide a short explanation of what needs to be changed. -->
-
----
-
-### 5️⃣ Current Behavior (Before Changes)
-<!-- Describe the existing behavior before applying the changes in this PR. -->
-
----
-
-### 6️⃣ New Behavior (After Changes)
-<!-- Explain how the behavior changes with this PR. -->
-
----
-
-### ✅ Checklist
-- [ ] Code follows the project's coding guidelines.
-- [ ] Tests have been added or updated (if applicable).
-- [ ] Documentation has been updated (if applicable).
-- [ ] Ready for review and approval.

README.md

@@ -69,7 +69,7 @@ Update logic and [documentation](https://qodo-merge-docs.qodo.ai/usage-guide/cha
 
 ### December 30, 2024
 
-Following feedback from the community, we have addressed two vulnerabilities identified in the open-source PR-Agent project. The fixes are now included in the newly released version (v0.26), available as of today.
+Following [feedback](https://research.kudelskisecurity.com/2024/08/29/careful-where-you-code-multiple-vulnerabilities-in-ai-powered-pr-agent/) from the community, we have addressed two vulnerabilities identified in the open-source PR-Agent project. The fixes are now included in the newly released version (v0.26), available as of today.
 
 ### December 25, 2024
 

SECURITY.md

@@ -1,62 +0,0 @@
-# Security Policy
-
-PR-Agent is an open-source tool to help efficiently review and handle pull requests. Qodo Merge is a paid version of PR-Agent, designed for companies and teams that require additional features and capabilities. 
-
-This document describes the security policy of PR-Agent. For Qodo Merge's security policy, see [here](https://qodo-merge-docs.qodo.ai/overview/data_privacy/#qodo-merge).
-
-## PR-Agent Self-Hosted Solutions
-
-When using PR-Agent with your OpenAI (or other LLM provider) API key, the security relationship is directly between you and the provider. We do not send your code to Qodo servers.
-
-Types of [self-hosted solutions](https://qodo-merge-docs.qodo.ai/installation):
-- Locally
-- GitHub integration
-- GitLab integration
-- BitBucket integration
-- Azure DevOps integration
-
-
-## PR-Agent Supported Versions
-
-This section outlines which versions of PR-Agent are currently supported with security updates.
-
-### Docker Deployment Options
-
-#### Latest Version
-
-For the most recent updates, use our latest Docker image which is automatically built nightly:
-```yaml
-uses: qodo-ai/pr-agent@main
-```
-
-#### Specific Release Version
-
-For a fixed version, you can pin your action to a specific release version. Browse available releases at:
-[PR-Agent Releases](https://github.com/qodo-ai/pr-agent/releases)
-
-For example, to github action:
-
-```yaml
-steps:
-  - name: PR Agent action step
-    id: pragent
-    uses: docker://codiumai/pr-agent:0.26-github_action
-```
-
-#### Enhanced Security with Docker Digest
-
-For maximum security, you can specify the Docker image using its digest:
-```yaml
-steps:
-  - name: PR Agent action step
-    id: pragent
-    uses: docker://codiumai/pr-agent@sha256:14165e525678ace7d9b51cda8652c2d74abb4e1d76b57c4a6ccaeba84663cc64
-```
-
-## Reporting a Vulnerability
-
-We take the security of PR-Agent seriously. If you discover a security vulnerability, please report it immediately to:
-
-Email: tal.r@qodo.ai
-
-Please include a description of the vulnerability, steps to reproduce, and the affected PR-Agent version.

docker/Dockerfile

@@ -4,7 +4,7 @@ WORKDIR /app
 ADD pyproject.toml .
 ADD requirements.txt .
 ADD docs docs
-RUN pip install --no-cache-dir . && rm pyproject.toml requirements.txt
+RUN pip install . && rm pyproject.toml requirements.txt
 ENV PYTHONPATH=/app
 
 FROM base AS github_app
@@ -33,7 +33,7 @@ CMD ["python", "pr_agent/servers/azuredevops_server_webhook.py"]
 
 FROM base AS test
 ADD requirements-dev.txt .
-RUN pip install --no-cache-dir -r requirements-dev.txt && rm requirements-dev.txt
+RUN pip install -r requirements-dev.txt && rm requirements-dev.txt
 ADD pr_agent pr_agent
 ADD tests tests
 

docker/Dockerfile.lambda

@@ -5,8 +5,8 @@ RUN yum update -y && \
     yum clean all
 
 ADD pyproject.toml requirements.txt .
-RUN pip install --no-cache-dir . && rm pyproject.toml
-RUN pip install --no-cache-dir mangum==0.17.0
+RUN pip install . && rm pyproject.toml
+RUN pip install mangum==0.17.0
 COPY pr_agent/ ${LAMBDA_TASK_ROOT}/pr_agent/
 
 CMD ["pr_agent.servers.serverless.serverless"]

docs/docs/core-abilities/index.md

@@ -19,7 +19,6 @@ Here are some additional technical blogs from Qodo, that delve deeper into the c
 These resources provide more comprehensive insights into leveraging LLMs for software development.
 
 ### Code Generation and LLMs
-- [Effective AI code suggestions: less is more](https://www.qodo.ai/blog/effective-code-suggestions-llms-less-is-more/)
 - [State-of-the-art Code Generation with AlphaCodium – From Prompt Engineering to Flow Engineering](https://www.qodo.ai/blog/qodoflow-state-of-the-art-code-generation-for-code-contests/)
 - [RAG for a Codebase with 10k Repos](https://www.qodo.ai/blog/rag-for-large-scale-code-repos/)
 

docs/docs/tools/implement.md

@@ -1,5 +1,3 @@
-`Platforms supported: GitHub, GitLab, Bitbucket`
-
 ## Overview
 
 The `implement` tool converts human code review discussions and feedback into ready-to-commit code changes.

docs/docs/usage-guide/PR_agent_pro_models.md

@@ -2,37 +2,17 @@
 
 The default models used by Qodo Merge are a combination of Claude-3.5-sonnet and  OpenAI's GPT-4 models.
 
-### Selecting a Specific Model
+Users can configure Qodo Merge to use solely a specific model by editing the [configuration](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) file.
 
-Users can configure Qodo Merge to use a specific model by editing the [configuration](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) file.
-The models supported by Qodo Merge are:
-
-- `claude-3-5-sonnet`
-- `gpt-4o`
-- `deepseek-r1`
-- `o3-mini`
-
-To restrict Qodo Merge to using only `Claude-3.5-sonnet`, add this setting:
+For example, to restrict Qodo Merge to using only `Claude-3.5-sonnet`, add this setting:
 
 ```
 [config]
 model="claude-3-5-sonnet"
 ```
 
-To restrict Qodo Merge to using only `GPT-4o`, add this setting:
+Or to restrict Qodo Merge to using only `GPT-4o`, add this setting:
 ```
 [config]
 model="gpt-4o"
 ```
-
-To restrict Qodo Merge to using only `deepseek-r1`, add this setting:
-```
-[config]
-model="deepseek/r1"
-```
-
-To restrict Qodo Merge to using only `o3-mini`, add this setting:
-```
-[config]
-model="o3-mini"
-```

pr_agent/algo/__init__.py

@@ -26,8 +26,6 @@ MAX_TOKENS = {
     'o1-preview-2024-09-12': 128000,  # 128K, but may be limited by config.max_model_tokens
     'o1-2024-12-17': 204800,  # 200K, but may be limited by config.max_model_tokens
     'o1': 204800,  # 200K, but may be limited by config.max_model_tokens
-    'o3-mini': 204800,  # 200K, but may be limited by config.max_model_tokens
-    'o3-mini-2025-01-31': 204800,  # 200K, but may be limited by config.max_model_tokens
     'claude-instant-1': 100000,
     'claude-2': 100000,
     'command-nightly': 4096,
@@ -83,13 +81,3 @@ MAX_TOKENS = {
     "watsonx/ibm/granite-34b-code-instruct": 8191,
     "watsonx/mistralai/mistral-large": 32768,
 }
-
-USER_MESSAGE_ONLY_MODELS = [
-    "deepseek/deepseek-reasoner",
-    "o1-mini",
-    "o1-mini-2024-09-12",
-    "o1",
-    "o1-2024-12-17",
-    "o3-mini",
-    "o3-mini-2025-01-31"
-]

pr_agent/algo/ai_handlers/litellm_ai_handler.py

@@ -6,7 +6,6 @@ import requests
 from litellm import acompletion
 from tenacity import retry, retry_if_exception_type, stop_after_attempt
 
-from pr_agent.algo import USER_MESSAGE_ONLY_MODELS
 from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 from pr_agent.algo.utils import get_version
 from pr_agent.config_loader import get_settings
@@ -95,9 +94,6 @@ class LiteLLMAIHandler(BaseAiHandler):
         if get_settings().get("DEEPSEEK.KEY", None):
             os.environ['DEEPSEEK_API_KEY'] = get_settings().get("DEEPSEEK.KEY")
 
-        # Models that only use user meessage
-        self.user_message_only_models = USER_MESSAGE_ONLY_MODELS
-
     def prepare_logs(self, response, system, user, resp, finish_reason):
         response_log = response.dict().copy()
         response_log['system'] = system
@@ -201,8 +197,10 @@ class LiteLLMAIHandler(BaseAiHandler):
                 messages[1]["content"] = [{"type": "text", "text": messages[1]["content"]},
                                           {"type": "image_url", "image_url": {"url": img_path}}]
 
-            # Currently, some models do not support a separate system and user prompts
-            if self.user_message_only_models and any(entry.lower() in model.lower() for entry in self.user_message_only_models):
+            # Currently, model OpenAI o1 series does not support a separate system and user prompts
+            O1_MODEL_PREFIX = 'o1'
+            model_type = model.split('/')[-1] if '/' in model else model
+            if (model_type.startswith(O1_MODEL_PREFIX)) or ("deepseek-reasoner" in model):
                 user = f"{system}\n\n\n{user}"
                 system = ""
                 get_logger().info(f"Using model {model}, combining system and user prompts")

pr_agent/algo/utils.py

@@ -735,7 +735,7 @@ def try_fix_yaml(response_text: str,
         get_logger().info(f"Successfully parsed AI prediction after adding |-\n")
         return data
     except:
-        pass
+        get_logger().info(f"Failed to parse AI prediction after adding |-\n")
 
     # second fallback - try to extract only range from first ```yaml to ````
     snippet_pattern = r'```(yaml)?[\s\S]*?```'
@@ -779,18 +779,9 @@ def try_fix_yaml(response_text: str,
         except:
             pass
 
-    # fifth fallback - try to remove leading '+' (sometimes added by AI for 'existing code' and 'improved code')
-    response_text_lines_copy = response_text_lines.copy()
-    for i in range(0, len(response_text_lines_copy)):
-        response_text_lines_copy[i] = ' ' + response_text_lines_copy[i][1:]
-    try:
-        data = yaml.safe_load('\n'.join(response_text_lines_copy))
-        get_logger().info(f"Successfully parsed AI prediction after removing leading '+'")
-        return data
-    except:
-        pass
 
-    # sixth fallback - try to remove last lines
+    # fifth fallback - try to remove last lines
+    data = {}
     for i in range(1, len(response_text_lines)):
         response_text_lines_tmp = '\n'.join(response_text_lines[:-i])
         try:

pr_agent/git_providers/github_provider.py

@@ -9,7 +9,7 @@ from datetime import datetime
 from typing import Optional, Tuple
 from urllib.parse import urlparse
 
-from github import AppAuthentication, Auth, Github, GithubException
+from github import AppAuthentication, Auth, Github
 from retry import retry
 from starlette_context import context
 
@@ -475,17 +475,8 @@ class GithubProvider(GitProvider):
             return False
 
     def edit_comment(self, comment, body: str):
-        try:
-            body = self.limit_output_characters(body, self.max_comment_chars)
-            comment.edit(body=body)
-        except GithubException as e:
-            if hasattr(e, "status") and e.status == 403:
-                # Log as warning for permission-related issues (usually due to polling)
-                get_logger().warning(
-                    "Failed to edit github comment due to permission restrictions",
-                    artifact={"error": e})
-            else:
-                get_logger().exception(f"Failed to edit github comment", artifact={"error": e})
+        body = self.limit_output_characters(body, self.max_comment_chars)
+        comment.edit(body=body)
 
     def edit_comment_from_comment_id(self, comment_id: int, body: str):
         try:

pr_agent/servers/github_polling.py

@@ -130,14 +130,12 @@ async def is_valid_notification(notification, headers, handled_ids, session, use
                                                       artifact={"comment": comment_body})
                                     return True, handled_ids, comment, comment_body, pr_url, user_tag
 
-                            get_logger().warning(f"Failed to fetch comments for PR: {pr_url}",
-                                                    artifact={"comments": comments})
+                            get_logger().error(f"Failed to fetch comments for PR: {pr_url}")
                             return False, handled_ids
 
         return False, handled_ids
     except Exception as e:
-        get_logger().exception(f"Error processing polling notification",
-                               artifact={"notification": notification, "error": e})
+        get_logger().error(f"Error processing notification: {e}", artifact={"traceback": traceback.format_exc()})
         return False, handled_ids
 
 

pr_agent/settings/configuration.toml

@@ -121,9 +121,6 @@ max_history_len=4
 apply_suggestions_checkbox=true
 # suggestions scoring
 suggestions_score_threshold=0 # [0-10]| recommend not to set this value above 8, since above it may clip highly relevant suggestions
-new_score_mechanism=true
-new_score_mechanism_th_high=9
-new_score_mechanism_th_medium=7
 # params for '/improve --extended' mode
 auto_extended_mode=true
 num_code_suggestions_per_chunk=4

pr_agent/settings/pr_code_suggestions_prompts.toml

@@ -90,7 +90,7 @@ class CodeSuggestion(BaseModel):
 {%- if not focus_only_on_problems %}
     label: str = Field(description="A single, descriptive label that best characterizes the suggestion type. Possible labels include 'security', 'possible bug', 'possible issue', 'performance', 'enhancement', 'best practice', 'maintainability', 'typo'. Other relevant labels are also acceptable.")
 {%- else %}
-    label: str = Field(description="A single, descriptive label that best characterizes the suggestion type. Possible labels include 'security', 'critical bug', 'general'. The 'general' section should be used for suggestions that address a major issue, but are not necessarily on a critical level.")
+    label: str = Field(description="A single, descriptive label that best characterizes the suggestion type. Possible labels include 'security', 'critical bug', 'general'. The 'general' section should be used for suggestions that address a major issue, but are necessarily on a critical level.")
 {%- endif %}
 
 

pr_agent/tools/pr_code_suggestions.py

@@ -720,7 +720,7 @@ class PRCodeSuggestions:
             header = f"Suggestion"
             delta = 66
             header += "  " * delta
-            pr_body += f"""<thead><tr><td><strong>Category</strong></td><td align=left><strong>{header}</strong></td><td align=center><strong>Impact</strong></td></tr>"""
+            pr_body += f"""<thead><tr><td>Category</td><td align=left>{header}</td><td align=center>Score</td></tr>"""
             pr_body += """<tbody>"""
             suggestions_labels = dict()
             # add all suggestions related to each label
@@ -740,7 +740,7 @@ class PRCodeSuggestions:
             counter_suggestions = 0
             for label, suggestions in suggestions_labels.items():
                 num_suggestions = len(suggestions)
-                pr_body += f"""<tr><td rowspan={num_suggestions}>{label.capitalize()}</td>\n"""
+                pr_body += f"""<tr><td rowspan={num_suggestions}><strong>{label.capitalize()}</strong></td>\n"""
                 for i, suggestion in enumerate(suggestions):
 
                     relevant_file = suggestion['relevant_file'].strip()
@@ -794,19 +794,14 @@ class PRCodeSuggestions:
 
 {example_code.rstrip()}
 """
-                    if suggestion.get('score_why'):
-                        pr_body += f"<details><summary>Suggestion importance[1-10]: {suggestion['score']}</summary>\n\n"
-                        pr_body += f"__\n\nWhy: {suggestion['score_why']}\n\n"
-                        pr_body += f"</details>"
+                    pr_body += f"<details><summary>Suggestion importance[1-10]: {suggestion['score']}</summary>\n\n"
+                    pr_body += f"Why: {suggestion['score_why']}\n\n"
+                    pr_body += f"</details>"
 
                     pr_body += f"</details>"
 
                     # # add another column for 'score'
-                    score_int = int(suggestion.get('score', 0))
-                    score_str = f"{score_int}"
-                    if get_settings().pr_code_suggestions.new_score_mechanism:
-                        score_str = self.get_score_str(score_int)
-                    pr_body += f"</td><td align=center>{score_str}\n\n"
+                    pr_body += f"</td><td align=center>{suggestion['score']}\n\n"
 
                     pr_body += f"</td></tr>"
                     counter_suggestions += 1
@@ -819,16 +814,6 @@ class PRCodeSuggestions:
             get_logger().info(f"Failed to publish summarized code suggestions, error: {e}")
             return ""
 
-    def get_score_str(self, score: int) -> str:
-        th_high = get_settings().pr_code_suggestions.get('new_score_mechanism_th_high', 9)
-        th_medium = get_settings().pr_code_suggestions.get('new_score_mechanism_th_medium', 7)
-        if score >= th_high:
-            return "High"
-        elif score >= th_medium:
-            return "Medium"
-        else:  # score < 7
-            return "Low"
-
     async def self_reflect_on_suggestions(self,
                                           suggestion_list: List,
                                           patches_diff: str,

setup.py

@@ -3,3 +3,4 @@
 from setuptools import setup
 
 setup()
+print("aaa")