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GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/> Apache License
Everyone is permitted to copy and distribute verbatim copies Version 2.0, January 2004
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not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Remote Network Interaction; Use with the GNU General Public License.
Notwithstanding any other provision of this License, if you modify the
Program, your modified version must prominently offer all users
interacting with it remotely through a computer network (if your version
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Source of your version by providing access to the Corresponding Source
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The Free Software Foundation may publish revised and/or new versions of
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will be similar in spirit to the present version, but may differ in detail to
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Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU Affero General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
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by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU Affero General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
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author or copyright holder as a result of your choosing to follow a
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15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
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THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs APPENDIX: How to apply the Apache License to your work.
If you develop a new program, and you want it to be of the greatest To apply the Apache License to your work, attach the following
possible use to the public, the best way to achieve this is to make it boilerplate notice, with the fields enclosed by brackets "[]"
free software which everyone can redistribute and change under these terms. replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
To do so, attach the following notices to the program. It is safest Copyright [2023] [Codium ltd]
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.> Licensed under the Apache License, Version 2.0 (the "License");
Copyright (C) <year> <name of author> you may not use this file except in compliance with the License.
You may obtain a copy of the License at
This program is free software: you can redistribute it and/or modify http://www.apache.org/licenses/LICENSE-2.0
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful, Unless required by applicable law or agreed to in writing, software
but WITHOUT ANY WARRANTY; without even the implied warranty of distributed under the License is distributed on an "AS IS" BASIS,
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
GNU Affero General Public License for more details. See the License for the specific language governing permissions and
limitations under the License.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.

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@ -70,47 +70,48 @@ Read more about it [here](https://qodo-merge-docs.qodo.ai/tools/scan_repo_discus
Supported commands per platform: Supported commands per platform:
| | | GitHub | GitLab | Bitbucket | Azure DevOps | Gitea | | | | GitHub | GitLab | Bitbucket | Azure DevOps |
| ----- |---------------------------------------------------------------------------------------------------------|:------:|:------:|:---------:|:------------:|:-----:| | ----- |---------------------------------------------------------------------------------------------------------|:------:|:------:|:---------:|:------------:|
| TOOLS | [Review](https://qodo-merge-docs.qodo.ai/tools/review/) | ✅ | ✅ | ✅ | ✅ | ✅ | | TOOLS | [Review](https://qodo-merge-docs.qodo.ai/tools/review/) | ✅ | ✅ | ✅ | ✅ |
| | [Describe](https://qodo-merge-docs.qodo.ai/tools/describe/) | ✅ | ✅ | ✅ | ✅ | ✅ | | | [Describe](https://qodo-merge-docs.qodo.ai/tools/describe/) | ✅ | ✅ | ✅ | ✅ |
| | [Improve](https://qodo-merge-docs.qodo.ai/tools/improve/) | ✅ | ✅ | ✅ | ✅ | ✅ | | | [Improve](https://qodo-merge-docs.qodo.ai/tools/improve/) | ✅ | ✅ | ✅ | ✅ |
| | [Ask](https://qodo-merge-docs.qodo.ai/tools/ask/) | ✅ | ✅ | ✅ | ✅ | | | | [Ask](https://qodo-merge-docs.qodo.ai/tools/ask/) | ✅ | ✅ | ✅ | ✅ |
| | ⮑ [Ask on code lines](https://qodo-merge-docs.qodo.ai/tools/ask/#ask-lines) | ✅ | ✅ | | | | | | ⮑ [Ask on code lines](https://qodo-merge-docs.qodo.ai/tools/ask/#ask-lines) | ✅ | ✅ | | |
| | [Update CHANGELOG](https://qodo-merge-docs.qodo.ai/tools/update_changelog/) | ✅ | ✅ | ✅ | ✅ | | | | [Update CHANGELOG](https://qodo-merge-docs.qodo.ai/tools/update_changelog/) | ✅ | ✅ | ✅ | ✅ |
| | [Help Docs](https://qodo-merge-docs.qodo.ai/tools/help_docs/?h=auto#auto-approval) | ✅ | ✅ | ✅ | | | | | [Help Docs](https://qodo-merge-docs.qodo.ai/tools/help_docs/?h=auto#auto-approval) | ✅ | ✅ | ✅ | |
| | [Ticket Context](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/) 💎 | ✅ | ✅ | ✅ | | | | | [Ticket Context](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/) 💎 | ✅ | ✅ | ✅ | |
| | [Utilizing Best Practices](https://qodo-merge-docs.qodo.ai/tools/improve/#best-practices) 💎 | ✅ | ✅ | ✅ | | | | | [Utilizing Best Practices](https://qodo-merge-docs.qodo.ai/tools/improve/#best-practices) 💎 | ✅ | ✅ | ✅ | |
| | [PR Chat](https://qodo-merge-docs.qodo.ai/chrome-extension/features/#pr-chat) 💎 | ✅ | | | | | | | [PR Chat](https://qodo-merge-docs.qodo.ai/chrome-extension/features/#pr-chat) 💎 | ✅ | | | |
| | [Suggestion Tracking](https://qodo-merge-docs.qodo.ai/tools/improve/#suggestion-tracking) 💎 | ✅ | ✅ | | | | | | [Suggestion Tracking](https://qodo-merge-docs.qodo.ai/tools/improve/#suggestion-tracking) 💎 | ✅ | ✅ | | |
| | [CI Feedback](https://qodo-merge-docs.qodo.ai/tools/ci_feedback/) 💎 | ✅ | | | | | | | [CI Feedback](https://qodo-merge-docs.qodo.ai/tools/ci_feedback/) 💎 | ✅ | | | |
| | [PR Documentation](https://qodo-merge-docs.qodo.ai/tools/documentation/) 💎 | ✅ | ✅ | | | | | | [PR Documentation](https://qodo-merge-docs.qodo.ai/tools/documentation/) 💎 | ✅ | ✅ | | |
| | [Custom Labels](https://qodo-merge-docs.qodo.ai/tools/custom_labels/) 💎 | ✅ | ✅ | | | | | | [Custom Labels](https://qodo-merge-docs.qodo.ai/tools/custom_labels/) 💎 | ✅ | ✅ | | |
| | [Analyze](https://qodo-merge-docs.qodo.ai/tools/analyze/) 💎 | ✅ | ✅ | | | | | | [Analyze](https://qodo-merge-docs.qodo.ai/tools/analyze/) 💎 | ✅ | ✅ | | |
| | [Similar Code](https://qodo-merge-docs.qodo.ai/tools/similar_code/) 💎 | ✅ | | | | | | | [Similar Code](https://qodo-merge-docs.qodo.ai/tools/similar_code/) 💎 | ✅ | | | |
| | [Custom Prompt](https://qodo-merge-docs.qodo.ai/tools/custom_prompt/) 💎 | ✅ | ✅ | ✅ | | | | | [Custom Prompt](https://qodo-merge-docs.qodo.ai/tools/custom_prompt/) 💎 | ✅ | ✅ | ✅ | |
| | [Test](https://qodo-merge-docs.qodo.ai/tools/test/) 💎 | ✅ | ✅ | | | | | | [Test](https://qodo-merge-docs.qodo.ai/tools/test/) 💎 | ✅ | ✅ | | |
| | [Implement](https://qodo-merge-docs.qodo.ai/tools/implement/) 💎 | ✅ | ✅ | ✅ | | | | | [Implement](https://qodo-merge-docs.qodo.ai/tools/implement/) 💎 | ✅ | ✅ | ✅ | |
| | [Scan Repo Discussions](https://qodo-merge-docs.qodo.ai/tools/scan_repo_discussions/) 💎 | ✅ | | | | | | | [Scan Repo Discussions](https://qodo-merge-docs.qodo.ai/tools/scan_repo_discussions/) 💎 | ✅ | | | |
| | [Auto-Approve](https://qodo-merge-docs.qodo.ai/tools/improve/?h=auto#auto-approval) 💎 | | ✅ | | | | | | [Repo Statistics](https://qodo-merge-docs.qodo.ai/tools/repo_statistics/) 💎 | ✅ | | | |
| | | | | | | | | | [Auto-Approve](https://qodo-merge-docs.qodo.ai/tools/improve/?h=auto#auto-approval) 💎 | | | | |
| USAGE | [CLI](https://qodo-merge-docs.qodo.ai/usage-guide/automations_and_usage/#local-repo-cli) | | | | | | | | | | | | |
| | [App / webhook](https://qodo-merge-docs.qodo.ai/usage-guide/automations_and_usage/#github-app) | ✅ | ✅ | ✅ | ✅ | ✅ | | USAGE | [CLI](https://qodo-merge-docs.qodo.ai/usage-guide/automations_and_usage/#local-repo-cli) | ✅ | ✅ | ✅ | ✅ |
| | [Tagging bot](https://github.com/Codium-ai/pr-agent#try-it-now) | ✅ | | | | | | | [App / webhook](https://qodo-merge-docs.qodo.ai/usage-guide/automations_and_usage/#github-app) | ✅ | | | |
| | [Actions](https://qodo-merge-docs.qodo.ai/installation/github/#run-as-a-github-action) | | ✅ | | | | | | [Tagging bot](https://github.com/Codium-ai/pr-agent#try-it-now) | ✅ | | | |
| | | | | | | | | | [Actions](https://qodo-merge-docs.qodo.ai/installation/github/#run-as-a-github-action) | | | | |
| CORE | [PR compression](https://qodo-merge-docs.qodo.ai/core-abilities/compression_strategy/) | | | | | | | | | | | | |
| | Adaptive and token-aware file patch fitting | ✅ | ✅ | ✅ | ✅ | | | CORE | [PR compression](https://qodo-merge-docs.qodo.ai/core-abilities/compression_strategy/) | ✅ | ✅ | ✅ | ✅ |
| | [Multiple models support](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/) | | | ✅ | ✅ | | | | Adaptive and token-aware file patch fitting | ✅ || ✅ | ✅ |
| | [Local and global metadata](https://qodo-merge-docs.qodo.ai/core-abilities/metadata/) | ✅ | ✅ | ✅ | ✅ | | | | [Multiple models support](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/) | ✅ | ✅ | ✅ | ✅ |
| | [Dynamic context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/) | ✅ | ✅ | ✅ | ✅ | | | | [Local and global metadata](https://qodo-merge-docs.qodo.ai/core-abilities/metadata/) | ✅ | ✅ | ✅ | ✅ |
| | [Self reflection](https://qodo-merge-docs.qodo.ai/core-abilities/self_reflection/) | ✅ | ✅ | ✅ | ✅ | | | | [Dynamic context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/) | ✅ | ✅ | ✅ | ✅ |
| | [Static code analysis](https://qodo-merge-docs.qodo.ai/core-abilities/static_code_analysis/) 💎 | | ✅ | | | | | | [Self reflection](https://qodo-merge-docs.qodo.ai/core-abilities/self_reflection/) | ✅ | | | |
| | [Global and wiki configurations](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) 💎 | ✅ | ✅ | ✅ | | | | | [Static code analysis](https://qodo-merge-docs.qodo.ai/core-abilities/static_code_analysis/) 💎 | ✅ | ✅ | | |
| | [PR interactive actions](https://www.qodo.ai/images/pr_agent/pr-actions.mp4) 💎 | ✅ | ✅ | | | | | | [Global and wiki configurations](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) 💎 | ✅ | ✅ | | |
| | [Impact Evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) 💎 | ✅ | ✅ | | | | | | [PR interactive actions](https://www.qodo.ai/images/pr_agent/pr-actions.mp4) 💎 | ✅ | ✅ | | |
| | [Code Validation 💎](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/) | ✅ | ✅ | | | | | | [Impact Evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) 💎 | ✅ | ✅ | | |
| | [Auto Best Practices 💎](https://qodo-merge-docs.qodo.ai/core-abilities/auto_best_practices/) | ✅ | | | | | | | [Code Validation 💎](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/) | ✅ | | | |
| | [Auto Best Practices 💎](https://qodo-merge-docs.qodo.ai/core-abilities/auto_best_practices/) | ✅ | | | |
- 💎 means this feature is available only in [Qodo Merge](https://www.qodo.ai/pricing/) - 💎 means this feature is available only in [Qodo Merge](https://www.qodo.ai/pricing/)
[//]: # (- Support for additional git providers is described in [here]&#40;./docs/Full_environments.md&#41;) [//]: # (- Support for additional git providers is described in [here]&#40;./docs/Full_environments.md&#41;)

View File

@ -33,11 +33,6 @@ FROM base AS azure_devops_webhook
ADD pr_agent pr_agent ADD pr_agent pr_agent
CMD ["python", "pr_agent/servers/azuredevops_server_webhook.py"] CMD ["python", "pr_agent/servers/azuredevops_server_webhook.py"]
FROM base AS gitea_app
ADD pr_agent pr_agent
CMD ["python", "-m", "gunicorn", "-k", "uvicorn.workers.UvicornWorker", "-c", "pr_agent/servers/gunicorn_config.py","pr_agent.servers.gitea_app:app"]
FROM base AS test FROM base AS test
ADD requirements-dev.txt . ADD requirements-dev.txt .
RUN pip install --no-cache-dir -r requirements-dev.txt && rm requirements-dev.txt RUN pip install --no-cache-dir -r requirements-dev.txt && rm requirements-dev.txt

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@ -1,55 +0,0 @@
# Chat on code suggestions 💎
`Supported Git Platforms: GitHub, GitLab`
## Overview
Qodo Merge implements an orchestrator agent that enables interactive code discussions, listening and responding to comments without requiring explicit tool calls.
The orchestrator intelligently analyzes your responses to determine if you want to implement a suggestion, ask a question, or request help, then delegates to the appropriate specialized tool.
To minimize unnecessary notifications and maintain focused discussions, the orchestrator agent will only respond to comments made directly within the inline code suggestion discussions it has created (`/improve`) or within discussions initiated by the `/implement` command.
## Getting Started
### Setup
Enable interactive code discussions by adding the following to your configuration file (default is `True`):
```toml
[pr_code_suggestions]
enable_chat_in_code_suggestions = true
```
### Activation
#### `/improve`
To obtain dynamic responses, the following steps are required:
1. Run the `/improve` command (mostly automatic)
2. Check the `/improve` recommendation checkboxes (_Apply this suggestion_) to have Qodo Merge generate a new inline code suggestion discussion
3. The orchestrator agent will then automatically listen to and reply to comments within the discussion without requiring additional commands
#### `/implement`
To obtain dynamic responses, the following steps are required:
1. Select code lines in the PR diff and run the `/implement` command
2. Wait for Qodo Merge to generate a new inline code suggestion
3. The orchestrator agent will then automatically listen to and reply to comments within the discussion without requiring additional commands
## Explore the available interaction patterns
!!! tip "Tip: Direct the agent with keywords"
Use "implement" or "apply" for code generation. Use "explain", "why", or "how" for information and help.
=== "Asking for Details"
![Chat on code suggestions ask](https://codium.ai/images/pr_agent/improve_chat_on_code_suggestions_ask.png){width=512}
=== "Implementing Suggestions"
![Chat on code suggestions implement](https://codium.ai/images/pr_agent/improve_chat_on_code_suggestions_implement.png){width=512}
=== "Providing Additional Help"
![Chat on code suggestions help](https://codium.ai/images/pr_agent/improve_chat_on_code_suggestions_help.png){width=512}

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@ -1,33 +0,0 @@
# Incremental Update 💎
`Supported Git Platforms: GitHub`
## Overview
The Incremental Update feature helps users focus on feedback for their newest changes, making large PRs more manageable.
### How it works
=== "Update Option on Subsequent Commits"
![code_suggestions_update](https://www.qodo.ai/images/pr_agent/inc_update_before.png){width=512}
=== "Generation of Incremental Update"
![code_suggestions_inc_update_result](https://www.qodo.ai/images/pr_agent/inc_update_shown.png){width=512}
___
Whenever new commits are pushed following a recent code suggestions report for this PR, an Update button appears (as seen above).
Once the user clicks on the button:
- The `improve` tool identifies the new changes (the "delta")
- Provides suggestions on these recent changes
- Combines these suggestions with the overall PR feedback, prioritizing delta-related comments
- Marks delta-related comments with a textual indication followed by an asterisk (*) with a link to this page, so they can easily be identified
### Benefits for Developers
- Focus on what matters: See feedback on newest code first
- Clearer organization: Comments on recent changes are clearly marked
- Better workflow: Address feedback more systematically, starting with recent changes

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@ -3,13 +3,11 @@
Qodo Merge utilizes a variety of core abilities to provide a comprehensive and efficient code review experience. These abilities include: Qodo Merge utilizes a variety of core abilities to provide a comprehensive and efficient code review experience. These abilities include:
- [Auto best practices](https://qodo-merge-docs.qodo.ai/core-abilities/auto_best_practices/) - [Auto best practices](https://qodo-merge-docs.qodo.ai/core-abilities/auto_best_practices/)
- [Chat on code suggestions](https://qodo-merge-docs.qodo.ai/core-abilities/chat_on_code_suggestions/)
- [Code validation](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/) - [Code validation](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/)
- [Compression strategy](https://qodo-merge-docs.qodo.ai/core-abilities/compression_strategy/) - [Compression strategy](https://qodo-merge-docs.qodo.ai/core-abilities/compression_strategy/)
- [Dynamic context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/) - [Dynamic context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/)
- [Fetching ticket context](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/) - [Fetching ticket context](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/)
- [Impact evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) - [Impact evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/)
- [Incremental Update](https://qodo-merge-docs.qodo.ai/core-abilities/incremental_update/)
- [Interactivity](https://qodo-merge-docs.qodo.ai/core-abilities/interactivity/) - [Interactivity](https://qodo-merge-docs.qodo.ai/core-abilities/interactivity/)
- [Local and global metadata](https://qodo-merge-docs.qodo.ai/core-abilities/metadata/) - [Local and global metadata](https://qodo-merge-docs.qodo.ai/core-abilities/metadata/)
- [RAG context enrichment](https://qodo-merge-docs.qodo.ai/core-abilities/rag_context_enrichment/) - [RAG context enrichment](https://qodo-merge-docs.qodo.ai/core-abilities/rag_context_enrichment/)

View File

@ -48,6 +48,7 @@ PR-Agent and Qodo Merge offers extensive pull request functionalities across var
| | [Test](https://qodo-merge-docs.qodo.ai/tools/test/) 💎 | ✅ | ✅ | | | | | [Test](https://qodo-merge-docs.qodo.ai/tools/test/) 💎 | ✅ | ✅ | | |
| | [Implement](https://qodo-merge-docs.qodo.ai/tools/implement/) 💎 | ✅ | ✅ | ✅ | | | | [Implement](https://qodo-merge-docs.qodo.ai/tools/implement/) 💎 | ✅ | ✅ | ✅ | |
| | [Scan Repo Discussions](https://qodo-merge-docs.qodo.ai/tools/scan_repo_discussions/) 💎 | ✅ | | | | | | [Scan Repo Discussions](https://qodo-merge-docs.qodo.ai/tools/scan_repo_discussions/) 💎 | ✅ | | | |
| | [Repo Statistics](https://qodo-merge-docs.qodo.ai/tools/repo_statistics/) 💎 | ✅ | | | |
| | [Auto-Approve](https://qodo-merge-docs.qodo.ai/tools/improve/?h=auto#auto-approval) 💎 | ✅ | ✅ | ✅ | | | | [Auto-Approve](https://qodo-merge-docs.qodo.ai/tools/improve/?h=auto#auto-approval) 💎 | ✅ | ✅ | ✅ | |
| | | | | | | | | | | | | |
| USAGE | [CLI](https://qodo-merge-docs.qodo.ai/usage-guide/automations_and_usage/#local-repo-cli) | ✅ | ✅ | ✅ | ✅ | | USAGE | [CLI](https://qodo-merge-docs.qodo.ai/usage-guide/automations_and_usage/#local-repo-cli) | ✅ | ✅ | ✅ | ✅ |
@ -67,7 +68,6 @@ PR-Agent and Qodo Merge offers extensive pull request functionalities across var
| | [Impact Evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) 💎 | ✅ | ✅ | | | | | [Impact Evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) 💎 | ✅ | ✅ | | |
| | [Code Validation 💎](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/) | ✅ | ✅ | ✅ | ✅ | | | [Code Validation 💎](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/) | ✅ | ✅ | ✅ | ✅ |
| | [Auto Best Practices 💎](https://qodo-merge-docs.qodo.ai/core-abilities/auto_best_practices/) | ✅ | | | | | | [Auto Best Practices 💎](https://qodo-merge-docs.qodo.ai/core-abilities/auto_best_practices/) | ✅ | | | |
| | [Incremental Update 💎](https://qodo-merge-docs.qodo.ai/core-abilities/incremental_update/) | ✅ | | | |
!!! note "💎 means Qodo Merge only" !!! note "💎 means Qodo Merge only"
All along the documentation, 💎 marks a feature available only in [Qodo Merge](https://www.codium.ai/pricing/){:target="_blank"}, and not in the open-source version. All along the documentation, 💎 marks a feature available only in [Qodo Merge](https://www.codium.ai/pricing/){:target="_blank"}, and not in the open-source version.

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@ -1,46 +0,0 @@
## Run a Gitea webhook server
1. In Gitea create a new user and give it "Reporter" role ("Developer" if using Pro version of the agent) for the intended group or project.
2. For the user from step 1. generate a `personal_access_token` with `api` access.
3. Generate a random secret for your app, and save it for later (`webhook_secret`). For example, you can use:
```bash
WEBHOOK_SECRET=$(python -c "import secrets; print(secrets.token_hex(10))")
```
4. Clone this repository:
```bash
git clone https://github.com/qodo-ai/pr-agent.git
```
5. Prepare variables and secrets. Skip this step if you plan on setting these as environment variables when running the agent:
1. In the configuration file/variables:
- Set `config.git_provider` to "gitea"
2. In the secrets file/variables:
- Set your AI model key in the respective section
- In the [Gitea] section, set `personal_access_token` (with token from step 2) and `webhook_secret` (with secret from step 3)
6. Build a Docker image for the app and optionally push it to a Docker repository. We'll use Dockerhub as an example:
```bash
docker build -f /docker/Dockerfile -t pr-agent:gitea_app --target gitea_app .
docker push codiumai/pr-agent:gitea_webhook # Push to your Docker repository
```
7. Set the environmental variables, the method depends on your docker runtime. Skip this step if you included your secrets/configuration directly in the Docker image.
```bash
CONFIG__GIT_PROVIDER=gitea
GITEA__PERSONAL_ACCESS_TOKEN=<personal_access_token>
GITEA__WEBHOOK_SECRET=<webhook_secret>
GITEA__URL=https://gitea.com # Or self host
OPENAI__KEY=<your_openai_api_key>
```
8. Create a webhook in your Gitea project. Set the URL to `http[s]://<PR_AGENT_HOSTNAME>/api/v1/gitea_webhooks`, the secret token to the generated secret from step 3, and enable the triggers `push`, `comments` and `merge request events`.
9. Test your installation by opening a merge request or commenting on a merge request using one of PR Agent's commands.

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@ -193,6 +193,7 @@ For example: `GITHUB.WEBHOOK_SECRET` --> `GITHUB__WEBHOOK_SECRET`
3. Push image to ECR 3. Push image to ECR
```shell ```shell
docker tag codiumai/pr-agent:serverless <AWS_ACCOUNT>.dkr.ecr.<AWS_REGION>.amazonaws.com/codiumai/pr-agent:serverless docker tag codiumai/pr-agent:serverless <AWS_ACCOUNT>.dkr.ecr.<AWS_REGION>.amazonaws.com/codiumai/pr-agent:serverless
docker push <AWS_ACCOUNT>.dkr.ecr.<AWS_REGION>.amazonaws.com/codiumai/pr-agent:serverless docker push <AWS_ACCOUNT>.dkr.ecr.<AWS_REGION>.amazonaws.com/codiumai/pr-agent:serverless
``` ```

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@ -9,7 +9,6 @@ There are several ways to use self-hosted PR-Agent:
- [GitLab integration](./gitlab.md) - [GitLab integration](./gitlab.md)
- [BitBucket integration](./bitbucket.md) - [BitBucket integration](./bitbucket.md)
- [Azure DevOps integration](./azure.md) - [Azure DevOps integration](./azure.md)
- [Gitea integration](./gitea.md)
## Qodo Merge 💎 ## Qodo Merge 💎

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@ -1,7 +1,7 @@
To run PR-Agent locally, you first need to acquire two keys: To run PR-Agent locally, you first need to acquire two keys:
1. An OpenAI key from [here](https://platform.openai.com/api-keys){:target="_blank"}, with access to GPT-4 and o4-mini (or a key for other [language models](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/), if you prefer). 1. An OpenAI key from [here](https://platform.openai.com/api-keys){:target="_blank"}, with access to GPT-4 and o4-mini (or a key for other [language models](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/), if you prefer).
2. A personal access token from your Git platform (GitHub, GitLab, BitBucket,Gitea) with repo scope. GitHub token, for example, can be issued from [here](https://github.com/settings/tokens){:target="_blank"} 2. A personal access token from your Git platform (GitHub, GitLab, BitBucket) with repo scope. GitHub token, for example, can be issued from [here](https://github.com/settings/tokens){:target="_blank"}
## Using Docker image ## Using Docker image
@ -40,19 +40,6 @@ To invoke a tool (for example `review`), you can run PR-Agent directly from the
docker run --rm -it -e CONFIG.GIT_PROVIDER=bitbucket -e OPENAI.KEY=$OPENAI_API_KEY -e BITBUCKET.BEARER_TOKEN=$BITBUCKET_BEARER_TOKEN codiumai/pr-agent:latest --pr_url=<pr_url> review docker run --rm -it -e CONFIG.GIT_PROVIDER=bitbucket -e OPENAI.KEY=$OPENAI_API_KEY -e BITBUCKET.BEARER_TOKEN=$BITBUCKET_BEARER_TOKEN codiumai/pr-agent:latest --pr_url=<pr_url> review
``` ```
- For Gitea:
```bash
docker run --rm -it -e OPENAI.KEY=<your key> -e CONFIG.GIT_PROVIDER=gitea -e GITEA.PERSONAL_ACCESS_TOKEN=<your token> codiumai/pr-agent:latest --pr_url <pr_url> review
```
If you have a dedicated Gitea instance, you need to specify the custom url as variable:
```bash
-e GITEA.URL=<your gitea instance url>
```
For other git providers, update `CONFIG.GIT_PROVIDER` accordingly and check the [`pr_agent/settings/.secrets_template.toml`](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/.secrets_template.toml) file for environment variables expected names and values. For other git providers, update `CONFIG.GIT_PROVIDER` accordingly and check the [`pr_agent/settings/.secrets_template.toml`](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/.secrets_template.toml) file for environment variables expected names and values.
### Utilizing environment variables ### Utilizing environment variables

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@ -12,6 +12,7 @@ It also outlines our development roadmap for the upcoming three months. Please n
- **Scan Repo Discussions Tool**: A new tool that analyzes past code discussions to generate a `best_practices.md` file, distilling key insights and recommendations. ([Learn more](https://qodo-merge-docs.qodo.ai/tools/scan_repo_discussions/)) - **Scan Repo Discussions Tool**: A new tool that analyzes past code discussions to generate a `best_practices.md` file, distilling key insights and recommendations. ([Learn more](https://qodo-merge-docs.qodo.ai/tools/scan_repo_discussions/))
- **Enhanced Models**: Qodo Merge now defaults to a combination of top models (Claude Sonnet 3.7 and Gemini 2.5 Pro) and incorporates dedicated code validation logic for improved results. ([Details 1](https://qodo-merge-docs.qodo.ai/usage-guide/qodo_merge_models/), [Details 2](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/)) - **Enhanced Models**: Qodo Merge now defaults to a combination of top models (Claude Sonnet 3.7 and Gemini 2.5 Pro) and incorporates dedicated code validation logic for improved results. ([Details 1](https://qodo-merge-docs.qodo.ai/usage-guide/qodo_merge_models/), [Details 2](https://qodo-merge-docs.qodo.ai/core-abilities/code_validation/))
- **Chrome Extension Update**: Qodo Merge Chrome extension now supports single-tenant users. ([Learn more](https://qodo-merge-docs.qodo.ai/chrome-extension/options/#configuration-options/)) - **Chrome Extension Update**: Qodo Merge Chrome extension now supports single-tenant users. ([Learn more](https://qodo-merge-docs.qodo.ai/chrome-extension/options/#configuration-options/))
- **Repo Statistics Tool**: A new tool that provides repository statistics on time to merge and time to first comment. ([Learn more](https://qodo-merge-docs.qodo.ai/tools/repo_statistics/))
=== "Future Roadmap" === "Future Roadmap"
- **Smart Update**: Upon PR updates, Qodo Merge will offer tailored code suggestions, addressing both the entire PR and the specific incremental changes since the last feedback. - **Smart Update**: Upon PR updates, Qodo Merge will offer tailored code suggestions, addressing both the entire PR and the specific incremental changes since the last feedback.

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@ -56,21 +56,6 @@ Everything below this marker is treated as previously auto-generated content and
![Describe comment](https://codium.ai/images/pr_agent/pr_description_user_description.png){width=512} ![Describe comment](https://codium.ai/images/pr_agent/pr_description_user_description.png){width=512}
### Sequence Diagram Support
When the `enable_pr_diagram` option is enabled in your configuration, the `/describe` tool will include a `Mermaid` sequence diagram in the PR description.
This diagram represents interactions between components/functions based on the diff content.
### How to enable
In your configuration:
```
toml
[pr_description]
enable_pr_diagram = true
```
## Configuration options ## Configuration options
!!! example "Possible configurations" !!! example "Possible configurations"
@ -124,10 +109,6 @@ enable_pr_diagram = true
<td><b>enable_help_text</b></td> <td><b>enable_help_text</b></td>
<td>If set to true, the tool will display a help text in the comment. Default is false.</td> <td>If set to true, the tool will display a help text in the comment. Default is false.</td>
</tr> </tr>
<tr>
<td><b>enable_pr_diagram</b></td>
<td>If set to true, the tool will generate a horizontal Mermaid flowchart summarizing the main pull request changes. This field remains empty if not applicable. Default is false.</td>
</tr>
</table> </table>
## Inline file summary 💎 ## Inline file summary 💎

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@ -26,29 +26,6 @@ You can state a name of a specific component in the PR to get documentation only
/add_docs component_name /add_docs component_name
``` ```
## Manual triggering
Comment `/add_docs` on a PR to invoke it manually.
## Automatic triggering
To automatically run the `add_docs` tool when a pull request is opened, define in a [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/):
```toml
[github_app]
pr_commands = [
"/add_docs",
...
]
```
The `pr_commands` list defines commands that run automatically when a PR is opened.
Since this is under the [github_app] section, it only applies when using the Qodo Merge GitHub App in GitHub environments.
!!! note
By default, /add_docs is not triggered automatically. You must explicitly include it in pr_commands to enable this behavior.
## Configuration options ## Configuration options
- `docs_style`: The exact style of the documentation (for python docstring). you can choose between: `google`, `numpy`, `sphinx`, `restructuredtext`, `plain`. Default is `sphinx`. - `docs_style`: The exact style of the documentation (for python docstring). you can choose between: `google`, `numpy`, `sphinx`, `restructuredtext`, `plain`. Default is `sphinx`.

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@ -7,50 +7,50 @@ It leverages LLM technology to transform PR comments and review suggestions into
## Usage Scenarios ## Usage Scenarios
=== "For Reviewers" ### For Reviewers
Reviewers can request code changes by: Reviewers can request code changes by:
1. Selecting the code block to be modified. 1. Selecting the code block to be modified.
2. Adding a comment with the syntax: 2. Adding a comment with the syntax:
``` ```
/implement <code-change-description> /implement <code-change-description>
``` ```
![implement1](https://codium.ai/images/pr_agent/implement1.png){width=640} ![implement1](https://codium.ai/images/pr_agent/implement1.png){width=640}
=== "For PR Authors" ### For PR Authors
PR authors can implement suggested changes by replying to a review comment using either: PR authors can implement suggested changes by replying to a review comment using either: <br>
1. Add specific implementation details as described above 1. Add specific implementation details as described above
``` ```
/implement <code-change-description> /implement <code-change-description>
``` ```
2. Use the original review comment as instructions 2. Use the original review comment as instructions
``` ```
/implement /implement
``` ```
![implement2](https://codium.ai/images/pr_agent/implement2.png){width=640} ![implement2](https://codium.ai/images/pr_agent/implement2.png){width=640}
=== "For Referencing Comments" ### For Referencing Comments
You can reference and implement changes from any comment by: You can reference and implement changes from any comment by:
``` ```
/implement <link-to-review-comment> /implement <link-to-review-comment>
``` ```
![implement3](https://codium.ai/images/pr_agent/implement3.png){width=640} ![implement3](https://codium.ai/images/pr_agent/implement3.png){width=640}
Note that the implementation will occur within the review discussion thread. Note that the implementation will occur within the review discussion thread.
## Configuration options **Configuration options**
- Use `/implement` to implement code change within and based on the review discussion. - Use `/implement` to implement code change within and based on the review discussion.
- Use `/implement <code-change-description>` inside a review discussion to implement specific instructions. - Use `/implement <code-change-description>` inside a review discussion to implement specific instructions.

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@ -288,6 +288,45 @@ We advise users to apply critical analysis and judgment when implementing the pr
In addition to mistakes (which may happen, but are rare), sometimes the presented code modification may serve more as an _illustrative example_ than a directly applicable solution. In addition to mistakes (which may happen, but are rare), sometimes the presented code modification may serve more as an _illustrative example_ than a directly applicable solution.
In such cases, we recommend prioritizing the suggestion's detailed description, using the diff snippet primarily as a supporting reference. In such cases, we recommend prioritizing the suggestion's detailed description, using the diff snippet primarily as a supporting reference.
### Chat on code suggestions
> `💎 feature` Platforms supported: GitHub, GitLab
Qodo Merge implements an orchestrator agent that enables interactive code discussions, listening and responding to comments without requiring explicit tool calls.
The orchestrator intelligently analyzes your responses to determine if you want to implement a suggestion, ask a question, or request help, then delegates to the appropriate specialized tool.
#### Setup and Activation
Enable interactive code discussions by adding the following to your configuration file (default is `True`):
```toml
[pr_code_suggestions]
enable_chat_in_code_suggestions = true
```
!!! info "Activating Dynamic Responses"
To obtain dynamic responses, the following steps are required:
1. Run the `/improve` command (mostly automatic)
2. Tick the `/improve` recommendation checkboxes (_Apply this suggestion_) to have Qodo Merge generate a new inline code suggestion discussion
3. The orchestrator agent will then automatically listen and reply to comments within the discussion without requiring additional commands
#### Explore the available interaction patterns:
!!! tip "Tip: Direct the agent with keywords"
Use "implement" or "apply" for code generation. Use "explain", "why", or "how" for information and help.
=== "Asking for Details"
![Chat on code suggestions ask](https://codium.ai/images/pr_agent/improve_chat_on_code_suggestions_ask.png){width=512}
=== "Implementing Suggestions"
![Chat on code suggestions implement](https://codium.ai/images/pr_agent/improve_chat_on_code_suggestions_implement.png){width=512}
=== "Providing Additional Help"
![Chat on code suggestions help](https://codium.ai/images/pr_agent/improve_chat_on_code_suggestions_help.png){width=512}
### Dual publishing mode ### Dual publishing mode
Our recommended approach for presenting code suggestions is through a [table](https://qodo-merge-docs.qodo.ai/tools/improve/#overview) (`--pr_code_suggestions.commitable_code_suggestions=false`). Our recommended approach for presenting code suggestions is through a [table](https://qodo-merge-docs.qodo.ai/tools/improve/#overview) (`--pr_code_suggestions.commitable_code_suggestions=false`).
@ -396,7 +435,7 @@ To enable auto-approval based on specific criteria, first, you need to enable th
enable_auto_approval = true enable_auto_approval = true
``` ```
There are several criteria that can be set for auto-approval: There are two criteria that can be set for auto-approval:
- **Review effort score** - **Review effort score**
@ -418,19 +457,7 @@ enable_auto_approval = true
auto_approve_for_no_suggestions = true auto_approve_for_no_suggestions = true
``` ```
When no [code suggestions](https://www.qodo.ai/images/pr_agent/code_suggestions_as_comment_closed.png) were found for the PR, the PR will be auto-approved. When no [code suggestion](https://www.qodo.ai/images/pr_agent/code_suggestions_as_comment_closed.png) were found for the PR, the PR will be auto-approved.
___
- **Ticket Compliance**
```toml
[config]
enable_auto_approval = true
ensure_ticket_compliance = true # Default is false
```
If `ensure_ticket_compliance` is set to `true`, auto-approval will be disabled if a ticket is linked to the PR and the ticket is not compliant (e.g., the `review` tool did not mark the PR as fully compliant with the ticket). This ensures that PRs are only auto-approved if their associated tickets are properly resolved.
### How many code suggestions are generated? ### How many code suggestions are generated?

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@ -3,7 +3,7 @@
Here is a list of Qodo Merge tools, each with a dedicated page that explains how to use it: Here is a list of Qodo Merge tools, each with a dedicated page that explains how to use it:
| Tool | Description | | Tool | Description |
| ---------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- | |------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|
| **[PR Description (`/describe`](./describe.md))** | Automatically generating PR description - title, type, summary, code walkthrough and labels | | **[PR Description (`/describe`](./describe.md))** | Automatically generating PR description - title, type, summary, code walkthrough and labels |
| **[PR Review (`/review`](./review.md))** | Adjustable feedback about the PR, possible issues, security concerns, review effort and more | | **[PR Review (`/review`](./review.md))** | Adjustable feedback about the PR, possible issues, security concerns, review effort and more |
| **[Code Suggestions (`/improve`](./improve.md))** | Code suggestions for improving the PR | | **[Code Suggestions (`/improve`](./improve.md))** | Code suggestions for improving the PR |
@ -20,5 +20,6 @@ Here is a list of Qodo Merge tools, each with a dedicated page that explains how
| **💎 [CI Feedback (`/checks ci_job`](./ci_feedback.md))** | Automatically generates feedback and analysis for a failed CI job | | **💎 [CI Feedback (`/checks ci_job`](./ci_feedback.md))** | Automatically generates feedback and analysis for a failed CI job |
| **💎 [Implement (`/implement`](./implement.md))** | Generates implementation code from review suggestions | | **💎 [Implement (`/implement`](./implement.md))** | Generates implementation code from review suggestions |
| **💎 [Scan Repo Discussions (`/scan_repo_discussions`](./scan_repo_discussions.md))** | Generates `best_practices.md` file based on previous discussions in the repository | | **💎 [Scan Repo Discussions (`/scan_repo_discussions`](./scan_repo_discussions.md))** | Generates `best_practices.md` file based on previous discussions in the repository |
| **💎 [Repo Statistics (`/repo_statistics`](./repo_statistics.md))** | Provides repository statistics on time to merge and time to first comment |
Note that the tools marked with 💎 are available only for Qodo Merge users. Note that the tools marked with 💎 are available only for Qodo Merge users.

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@ -0,0 +1,44 @@
`Platforms supported: GitHub`
## Overview
The `repo_statistics` tool analyzes statistics from merged pull requests over the past 12 months prior to Qodo Merge installation.
It calculates key metrics that help teams establish a baseline of their PR workflow efficiency.
!!! note "Active repositories are needed"
The tool is designed to work with real-life repositories, as it relies on actual discussions to generate meaningful insights.
At least 30 merged PRs are required to generate meaningful statistical data.
### Metrics Analyzed
- **Time to merge:** The median and average time it takes for PRs to be merged after opening
- **Time to first comment:** The median and average time it takes to get the first comment on a PR
### Usage
The tool can be invoked manually by commenting on any PR:
```
/repo_statistics
```
In response, the bot will comment with the statistical data.
Note that the scan can take several minutes to complete, since up to 100 PRs are scanned.
!!! info "Automatic trigger"
Upon adding the Qodo Merge bot to a repository, the tool will automatically scan the last 365 days of PRs and send them to MixPanel, if enabled.
## Example usage
![repo statistics comment](https://codium.ai/images/pr_agent/repo_statistics_comment.png){width=640}
MixPanel optional presentation:
![repo statistics mixpanel](https://codium.ai/images/pr_agent/repo_statistics_mixpanel.png){width=640}
### Configuration options
- Use `/repo_statistics --repo_statistics.days_back=X` to specify the number of days back to scan for discussions. The default is 365 days.
- Use `/repo_statistics --repo_statistics.minimal_number_of_prs=X` to specify the minimum number of merged PRs needed to generate the statistics. The default is 30 PRs.

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@ -70,10 +70,6 @@ extra_instructions = "..."
<td><b>enable_help_text</b></td> <td><b>enable_help_text</b></td>
<td>If set to true, the tool will display a help text in the comment. Default is true.</td> <td>If set to true, the tool will display a help text in the comment. Default is true.</td>
</tr> </tr>
<tr>
<td><b>num_max_findings</b></td>
<td>Number of maximum returned findings. Default is 3.</td>
</tr>
</table> </table>
!!! example "Enable\\disable specific sub-sections" !!! example "Enable\\disable specific sub-sections"
@ -116,15 +112,13 @@ extra_instructions = "..."
</tr> </tr>
<tr> <tr>
<td><b>enable_review_labels_effort</b></td> <td><b>enable_review_labels_effort</b></td>
<td>If set to true, the tool will publish a 'Review effort x/5' label (15 scale). Default is true.</td> <td>If set to true, the tool will publish a 'Review effort [1-5]: x' label. Default is true.</td>
</tr> </tr>
</table> </table>
## Usage Tips ## Usage Tips
### General guidelines !!! tip "General guidelines"
!!! tip ""
The `review` tool provides a collection of configurable feedbacks about a PR. The `review` tool provides a collection of configurable feedbacks about a PR.
It is recommended to review the [Configuration options](#configuration-options) section, and choose the relevant options for your use case. It is recommended to review the [Configuration options](#configuration-options) section, and choose the relevant options for your use case.
@ -134,9 +128,7 @@ extra_instructions = "..."
On the other hand, if you find one of the enabled features to be irrelevant for your use case, disable it. No default configuration can fit all use cases. On the other hand, if you find one of the enabled features to be irrelevant for your use case, disable it. No default configuration can fit all use cases.
### Automation !!! tip "Automation"
!!! tip ""
When you first install Qodo Merge app, the [default mode](../usage-guide/automations_and_usage.md#github-app-automatic-tools-when-a-new-pr-is-opened) for the `review` tool is: When you first install Qodo Merge app, the [default mode](../usage-guide/automations_and_usage.md#github-app-automatic-tools-when-a-new-pr-is-opened) for the `review` tool is:
``` ```
pr_commands = ["/review", ...] pr_commands = ["/review", ...]
@ -144,20 +136,16 @@ extra_instructions = "..."
Meaning the `review` tool will run automatically on every PR, without any additional configurations. Meaning the `review` tool will run automatically on every PR, without any additional configurations.
Edit this field to enable/disable the tool, or to change the configurations used. Edit this field to enable/disable the tool, or to change the configurations used.
### Auto-generated PR labels from the Review Tool !!! tip "Possible labels from the review tool"
!!! tip "" The `review` tool can auto-generate two specific types of labels for a PR:
The `review` tool automatically adds two specific labels to your Pull Requests: - a `possible security issue` label that detects if a possible [security issue](https://github.com/Codium-ai/pr-agent/blob/tr/user_description/pr_agent/settings/pr_reviewer_prompts.toml#L136) exists in the PR code (`enable_review_labels_security` flag)
- a `Review effort [1-5]: x` label, where x is the estimated effort to review the PR (`enable_review_labels_effort` flag)
- **`possible security issue`**: This label is applied if the tool detects a potential [security vulnerability](https://github.com/qodo-ai/pr-agent/blob/main/pr_agent/settings/pr_reviewer_prompts.toml#L103) in the PR's code. This feedback is controlled by the 'enable_review_labels_security' flag. Both modes are useful, and we recommended to enable them.
- **`review effort [x/5]`**: This label estimates the [effort](https://github.com/qodo-ai/pr-agent/blob/main/pr_agent/settings/pr_reviewer_prompts.toml#L90) required to review the PR on a relative scale of 1 to 5, where 'x' represents the assessed effort. This feedback is controlled by the 'enable_review_labels_effort' flag.
Note: The `possible security issue` label highlights potential security risks. You can configure a GitHub Action to [prevent merging](https://medium.com/sequra-tech/quick-tip-block-pull-request-merge-using-labels-6cc326936221) PRs that have this label. !!! tip "Extra instructions"
### Extra instructions
!!! tip ""
Extra instructions are important. Extra instructions are important.
The `review` tool can be configured with extra instructions, which can be used to guide the model to a feedback tailored to the needs of your project. The `review` tool can be configured with extra instructions, which can be used to guide the model to a feedback tailored to the needs of your project.
@ -176,3 +164,7 @@ extra_instructions = "..."
""" """
``` ```
Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable. Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable.
!!! tip "Code suggestions"
The `review` tool previously included a legacy feature for providing code suggestions (controlled by `--pr_reviewer.num_code_suggestion`). This functionality has been deprecated and replaced by the [`improve`](./improve.md) tool, which offers higher quality and more actionable code suggestions.

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@ -50,7 +50,7 @@ glob = ['*.py']
And to ignore Python files in all PRs using `regex` pattern, set in a configuration file: And to ignore Python files in all PRs using `regex` pattern, set in a configuration file:
``` ```
[ignore] [regex]
regex = ['.*\.py$'] regex = ['.*\.py$']
``` ```

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@ -30,7 +30,7 @@ verbosity_level=2
This is useful for debugging or experimenting with different tools. This is useful for debugging or experimenting with different tools.
3. **git provider**: The [git_provider](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L5) field in a configuration file determines the GIT provider that will be used by Qodo Merge. Currently, the following providers are supported: 3. **git provider**: The [git_provider](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L5) field in a configuration file determines the GIT provider that will be used by Qodo Merge. Currently, the following providers are supported:
`github` **(default)**, `gitlab`, `bitbucket`, `azure`, `codecommit`, `local`,`gitea`, and `gerrit`. `github` **(default)**, `gitlab`, `bitbucket`, `azure`, `codecommit`, `local`, and `gerrit`.
### CLI Health Check ### CLI Health Check
@ -312,16 +312,3 @@ pr_commands = [
"/improve", "/improve",
] ]
``` ```
### Gitea Webhook
After setting up a Gitea webhook, to control which commands will run automatically when a new MR is opened, you can set the `pr_commands` parameter in the configuration file, similar to the GitHub App:
```toml
[gitea]
pr_commands = [
"/describe",
"/review",
"/improve",
]
```

View File

@ -1,22 +1,20 @@
The different tools and sub-tools used by Qodo Merge are adjustable via a Git configuration file. The different tools and sub-tools used by Qodo Merge are adjustable via the **[configuration file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml)**.
There are three main ways to set persistent configurations:
1. [Wiki](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#wiki-configuration-file) configuration page 💎 In addition to general configuration options, each tool has its own configurations. For example, the `review` tool will use parameters from the [pr_reviewer](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L16) section in the configuration file.
2. [Local](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#local-configuration-file) configuration file See the [Tools Guide](https://qodo-merge-docs.qodo.ai/tools/) for a detailed description of the different tools and their configurations.
3. [Global](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#global-configuration-file) configuration file 💎
There are three ways to set persistent configurations:
1. Wiki configuration page 💎
2. Local configuration file
3. Global configuration file 💎
In terms of precedence, wiki configurations will override local configurations, and local configurations will override global configurations. In terms of precedence, wiki configurations will override local configurations, and local configurations will override global configurations.
!!! tip "Tip1: edit only what you need"
For a list of all possible configurations, see the [configuration options](https://github.com/qodo-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml/) page.
In addition to general configuration options, each tool has its own configurations. For example, the `review` tool will use parameters from the [pr_reviewer](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L16) section in the configuration file.
!!! tip "Tip1: Edit only what you need"
Your configuration file should be minimal, and edit only the relevant values. Don't copy the entire configuration options, since it can lead to legacy problems when something changes. Your configuration file should be minimal, and edit only the relevant values. Don't copy the entire configuration options, since it can lead to legacy problems when something changes.
!!! tip "Tip2: Show relevant configurations" !!! tip "Tip2: show relevant configurations"
If you set `config.output_relevant_configurations` to True, each tool will also output in a collapsible section its relevant configurations. This can be useful for debugging, or getting to know the configurations better. If you set `config.output_relevant_configurations=true`, each tool will also output in a collapsible section its relevant configurations. This can be useful for debugging, or getting to know the configurations better.
## Wiki configuration file 💎 ## Wiki configuration file 💎

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@ -12,7 +12,6 @@ It includes information on how to adjust Qodo Merge configurations, define which
- [GitHub App](./automations_and_usage.md#github-app) - [GitHub App](./automations_and_usage.md#github-app)
- [GitHub Action](./automations_and_usage.md#github-action) - [GitHub Action](./automations_and_usage.md#github-action)
- [GitLab Webhook](./automations_and_usage.md#gitlab-webhook) - [GitLab Webhook](./automations_and_usage.md#gitlab-webhook)
- [Gitea Webhook](./automations_and_usage.md#gitea-webhook)
- [BitBucket App](./automations_and_usage.md#bitbucket-app) - [BitBucket App](./automations_and_usage.md#bitbucket-app)
- [Azure DevOps Provider](./automations_and_usage.md#azure-devops-provider) - [Azure DevOps Provider](./automations_and_usage.md#azure-devops-provider)
- [Managing Mail Notifications](./mail_notifications.md) - [Managing Mail Notifications](./mail_notifications.md)

View File

@ -41,16 +41,15 @@ nav:
- 💎 Similar Code: 'tools/similar_code.md' - 💎 Similar Code: 'tools/similar_code.md'
- 💎 Implement: 'tools/implement.md' - 💎 Implement: 'tools/implement.md'
- 💎 Scan Repo Discussions: 'tools/scan_repo_discussions.md' - 💎 Scan Repo Discussions: 'tools/scan_repo_discussions.md'
- 💎 Repo Statistics: 'tools/repo_statistics.md'
- Core Abilities: - Core Abilities:
- 'core-abilities/index.md' - 'core-abilities/index.md'
- Auto best practices: 'core-abilities/auto_best_practices.md' - Auto best practices: 'core-abilities/auto_best_practices.md'
- Chat on code suggestions: 'core-abilities/chat_on_code_suggestions.md'
- Code validation: 'core-abilities/code_validation.md' - Code validation: 'core-abilities/code_validation.md'
- Compression strategy: 'core-abilities/compression_strategy.md' - Compression strategy: 'core-abilities/compression_strategy.md'
- Dynamic context: 'core-abilities/dynamic_context.md' - Dynamic context: 'core-abilities/dynamic_context.md'
- Fetching ticket context: 'core-abilities/fetching_ticket_context.md' - Fetching ticket context: 'core-abilities/fetching_ticket_context.md'
- Impact evaluation: 'core-abilities/impact_evaluation.md' - Impact evaluation: 'core-abilities/impact_evaluation.md'
- Incremental Update: 'core-abilities/incremental_update.md'
- Interactivity: 'core-abilities/interactivity.md' - Interactivity: 'core-abilities/interactivity.md'
- Local and global metadata: 'core-abilities/metadata.md' - Local and global metadata: 'core-abilities/metadata.md'
- RAG context enrichment: 'core-abilities/rag_context_enrichment.md' - RAG context enrichment: 'core-abilities/rag_context_enrichment.md'

View File

@ -53,24 +53,19 @@ MAX_TOKENS = {
'vertex_ai/claude-3-5-haiku@20241022': 100000, 'vertex_ai/claude-3-5-haiku@20241022': 100000,
'vertex_ai/claude-3-sonnet@20240229': 100000, 'vertex_ai/claude-3-sonnet@20240229': 100000,
'vertex_ai/claude-3-opus@20240229': 100000, 'vertex_ai/claude-3-opus@20240229': 100000,
'vertex_ai/claude-opus-4@20250514': 200000,
'vertex_ai/claude-3-5-sonnet@20240620': 100000, 'vertex_ai/claude-3-5-sonnet@20240620': 100000,
'vertex_ai/claude-3-5-sonnet-v2@20241022': 100000, 'vertex_ai/claude-3-5-sonnet-v2@20241022': 100000,
'vertex_ai/claude-3-7-sonnet@20250219': 200000, 'vertex_ai/claude-3-7-sonnet@20250219': 200000,
'vertex_ai/claude-sonnet-4@20250514': 200000,
'vertex_ai/gemini-1.5-pro': 1048576, 'vertex_ai/gemini-1.5-pro': 1048576,
'vertex_ai/gemini-2.5-pro-preview-03-25': 1048576, 'vertex_ai/gemini-2.5-pro-preview-03-25': 1048576,
'vertex_ai/gemini-2.5-pro-preview-05-06': 1048576, 'vertex_ai/gemini-2.5-pro-preview-05-06': 1048576,
'vertex_ai/gemini-1.5-flash': 1048576, 'vertex_ai/gemini-1.5-flash': 1048576,
'vertex_ai/gemini-2.0-flash': 1048576, 'vertex_ai/gemini-2.0-flash': 1048576,
'vertex_ai/gemini-2.5-flash-preview-04-17': 1048576, 'vertex_ai/gemini-2.5-flash-preview-04-17': 1048576,
'vertex_ai/gemini-2.5-flash-preview-05-20': 1048576,
'vertex_ai/gemma2': 8200, 'vertex_ai/gemma2': 8200,
'gemini/gemini-1.5-pro': 1048576, 'gemini/gemini-1.5-pro': 1048576,
'gemini/gemini-1.5-flash': 1048576, 'gemini/gemini-1.5-flash': 1048576,
'gemini/gemini-2.0-flash': 1048576, 'gemini/gemini-2.0-flash': 1048576,
'gemini/gemini-2.5-flash-preview-04-17': 1048576,
'gemini/gemini-2.5-flash-preview-05-20': 1048576,
'gemini/gemini-2.5-pro-preview-03-25': 1048576, 'gemini/gemini-2.5-pro-preview-03-25': 1048576,
'gemini/gemini-2.5-pro-preview-05-06': 1048576, 'gemini/gemini-2.5-pro-preview-05-06': 1048576,
'codechat-bison': 6144, 'codechat-bison': 6144,
@ -79,28 +74,22 @@ MAX_TOKENS = {
'anthropic.claude-v1': 100000, 'anthropic.claude-v1': 100000,
'anthropic.claude-v2': 100000, 'anthropic.claude-v2': 100000,
'anthropic/claude-3-opus-20240229': 100000, 'anthropic/claude-3-opus-20240229': 100000,
'anthropic/claude-opus-4-20250514': 200000,
'anthropic/claude-3-5-sonnet-20240620': 100000, 'anthropic/claude-3-5-sonnet-20240620': 100000,
'anthropic/claude-3-5-sonnet-20241022': 100000, 'anthropic/claude-3-5-sonnet-20241022': 100000,
'anthropic/claude-3-7-sonnet-20250219': 200000, 'anthropic/claude-3-7-sonnet-20250219': 200000,
'anthropic/claude-sonnet-4-20250514': 200000,
'claude-3-7-sonnet-20250219': 200000, 'claude-3-7-sonnet-20250219': 200000,
'anthropic/claude-3-5-haiku-20241022': 100000, 'anthropic/claude-3-5-haiku-20241022': 100000,
'bedrock/anthropic.claude-instant-v1': 100000, 'bedrock/anthropic.claude-instant-v1': 100000,
'bedrock/anthropic.claude-v2': 100000, 'bedrock/anthropic.claude-v2': 100000,
'bedrock/anthropic.claude-v2:1': 100000, 'bedrock/anthropic.claude-v2:1': 100000,
'bedrock/anthropic.claude-3-sonnet-20240229-v1:0': 100000, 'bedrock/anthropic.claude-3-sonnet-20240229-v1:0': 100000,
'bedrock/anthropic.claude-opus-4-20250514-v1:0': 200000,
'bedrock/anthropic.claude-3-haiku-20240307-v1:0': 100000, 'bedrock/anthropic.claude-3-haiku-20240307-v1:0': 100000,
'bedrock/anthropic.claude-3-5-haiku-20241022-v1:0': 100000, 'bedrock/anthropic.claude-3-5-haiku-20241022-v1:0': 100000,
'bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0': 100000, 'bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0': 100000,
'bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0': 100000, 'bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0': 100000,
'bedrock/anthropic.claude-3-7-sonnet-20250219-v1:0': 200000, 'bedrock/anthropic.claude-3-7-sonnet-20250219-v1:0': 200000,
'bedrock/anthropic.claude-sonnet-4-20250514-v1:0': 200000,
"bedrock/us.anthropic.claude-opus-4-20250514-v1:0": 200000,
"bedrock/us.anthropic.claude-3-5-sonnet-20241022-v2:0": 100000, "bedrock/us.anthropic.claude-3-5-sonnet-20241022-v2:0": 100000,
"bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0": 200000, "bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0": 200000,
"bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0": 200000,
'claude-3-5-sonnet': 100000, 'claude-3-5-sonnet': 100000,
'groq/meta-llama/llama-4-scout-17b-16e-instruct': 131072, 'groq/meta-llama/llama-4-scout-17b-16e-instruct': 131072,
'groq/meta-llama/llama-4-maverick-17b-128e-instruct': 131072, 'groq/meta-llama/llama-4-maverick-17b-128e-instruct': 131072,
@ -113,13 +102,9 @@ MAX_TOKENS = {
'xai/grok-2': 131072, 'xai/grok-2': 131072,
'xai/grok-2-1212': 131072, 'xai/grok-2-1212': 131072,
'xai/grok-2-latest': 131072, 'xai/grok-2-latest': 131072,
'xai/grok-3': 131072,
'xai/grok-3-beta': 131072, 'xai/grok-3-beta': 131072,
'xai/grok-3-fast': 131072,
'xai/grok-3-fast-beta': 131072, 'xai/grok-3-fast-beta': 131072,
'xai/grok-3-mini': 131072,
'xai/grok-3-mini-beta': 131072, 'xai/grok-3-mini-beta': 131072,
'xai/grok-3-mini-fast': 131072,
'xai/grok-3-mini-fast-beta': 131072, 'xai/grok-3-mini-fast-beta': 131072,
'ollama/llama3': 4096, 'ollama/llama3': 4096,
'watsonx/meta-llama/llama-3-8b-instruct': 4096, 'watsonx/meta-llama/llama-3-8b-instruct': 4096,

View File

@ -1,17 +1,13 @@
_LANGCHAIN_INSTALLED = False
try: try:
from langchain_core.messages import HumanMessage, SystemMessage from langchain_core.messages import HumanMessage, SystemMessage
from langchain_openai import AzureChatOpenAI, ChatOpenAI from langchain_openai import AzureChatOpenAI, ChatOpenAI
_LANGCHAIN_INSTALLED = True
except: # we don't enforce langchain as a dependency, so if it's not installed, just move on except: # we don't enforce langchain as a dependency, so if it's not installed, just move on
pass pass
import functools import functools
import openai from openai import APIError, RateLimitError, Timeout
from tenacity import retry, retry_if_exception_type, retry_if_not_exception_type, stop_after_attempt from retry import retry
from langchain_core.runnables import Runnable
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.config_loader import get_settings from pr_agent.config_loader import get_settings
@ -22,14 +18,17 @@ OPENAI_RETRIES = 5
class LangChainOpenAIHandler(BaseAiHandler): class LangChainOpenAIHandler(BaseAiHandler):
def __init__(self): def __init__(self):
if not _LANGCHAIN_INSTALLED: # Initialize OpenAIHandler specific attributes here
error_msg = "LangChain is not installed. Please install it with `pip install langchain`."
get_logger().error(error_msg)
raise ImportError(error_msg)
super().__init__() super().__init__()
self.azure = get_settings().get("OPENAI.API_TYPE", "").lower() == "azure" self.azure = get_settings().get("OPENAI.API_TYPE", "").lower() == "azure"
# Create a default unused chat object to trigger early validation
self._create_chat(self.deployment_id)
def chat(self, messages: list, model: str, temperature: float):
chat = self._create_chat(self.deployment_id)
return chat.invoke(input=messages, model=model, temperature=temperature)
@property @property
def deployment_id(self): def deployment_id(self):
""" """
@ -37,10 +36,26 @@ class LangChainOpenAIHandler(BaseAiHandler):
""" """
return get_settings().get("OPENAI.DEPLOYMENT_ID", None) return get_settings().get("OPENAI.DEPLOYMENT_ID", None)
async def _create_chat_async(self, deployment_id=None): @retry(exceptions=(APIError, Timeout, AttributeError, RateLimitError),
tries=OPENAI_RETRIES, delay=2, backoff=2, jitter=(1, 3))
async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2):
try:
messages = [SystemMessage(content=system), HumanMessage(content=user)]
# get a chat completion from the formatted messages
resp = self.chat(messages, model=model, temperature=temperature)
finish_reason = "completed"
return resp.content, finish_reason
except (Exception) as e:
get_logger().error("Unknown error during OpenAI inference: ", e)
raise e
def _create_chat(self, deployment_id=None):
try: try:
if self.azure: if self.azure:
# Using Azure OpenAI service # using a partial function so we can set the deployment_id later to support fallback_deployments
# but still need to access the other settings now so we can raise a proper exception if they're missing
return AzureChatOpenAI( return AzureChatOpenAI(
openai_api_key=get_settings().openai.key, openai_api_key=get_settings().openai.key,
openai_api_version=get_settings().openai.api_version, openai_api_version=get_settings().openai.api_version,
@ -48,64 +63,14 @@ class LangChainOpenAIHandler(BaseAiHandler):
azure_endpoint=get_settings().openai.api_base, azure_endpoint=get_settings().openai.api_base,
) )
else: else:
# Using standard OpenAI or other LLM services # for llms that compatible with openai, should use custom api base
openai_api_base = get_settings().get("OPENAI.API_BASE", None) openai_api_base = get_settings().get("OPENAI.API_BASE", None)
if openai_api_base is None or len(openai_api_base) == 0: if openai_api_base is None or len(openai_api_base) == 0:
return ChatOpenAI(openai_api_key=get_settings().openai.key) return ChatOpenAI(openai_api_key=get_settings().openai.key)
else: else:
return ChatOpenAI( return ChatOpenAI(openai_api_key=get_settings().openai.key, openai_api_base=openai_api_base)
openai_api_key=get_settings().openai.key,
openai_api_base=openai_api_base
)
except AttributeError as e: except AttributeError as e:
# Handle configuration errors if getattr(e, "name"):
error_msg = f"OpenAI {e.name} is required" if getattr(e, "name") else str(e) raise ValueError(f"OpenAI {e.name} is required") from e
get_logger().error(error_msg)
raise ValueError(error_msg) from e
@retry(
retry=retry_if_exception_type(openai.APIError) & retry_if_not_exception_type(openai.RateLimitError),
stop=stop_after_attempt(OPENAI_RETRIES),
)
async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2, img_path: str = None):
if img_path:
get_logger().warning(f"Image path is not supported for LangChainOpenAIHandler. Ignoring image path: {img_path}")
try:
messages = [SystemMessage(content=system), HumanMessage(content=user)]
llm = await self._create_chat_async(deployment_id=self.deployment_id)
if not isinstance(llm, Runnable):
error_message = (
f"The Langchain LLM object ({type(llm)}) does not implement the Runnable interface. "
f"Please update your Langchain library to the latest version or "
f"check your LLM configuration to support async calls. "
f"PR-Agent is designed to utilize Langchain's async capabilities."
)
get_logger().error(error_message)
raise NotImplementedError(error_message)
# Handle parameters based on LLM type
if isinstance(llm, (ChatOpenAI, AzureChatOpenAI)):
# OpenAI models support all parameters
resp = await llm.ainvoke(
input=messages,
model=model,
temperature=temperature
)
else: else:
# Other LLMs (like Gemini) only support input parameter raise e
get_logger().info(f"Using simplified ainvoke for {type(llm)}")
resp = await llm.ainvoke(input=messages)
finish_reason = "completed"
return resp.content, finish_reason
except openai.RateLimitError as e:
get_logger().error(f"Rate limit error during LLM inference: {e}")
raise
except openai.APIError as e:
get_logger().warning(f"Error during LLM inference: {e}")
raise
except Exception as e:
get_logger().warning(f"Unknown error during LLM inference: {e}")
raise openai.APIError from e

View File

@ -3,7 +3,7 @@ import litellm
import openai import openai
import requests import requests
from litellm import acompletion from litellm import acompletion
from tenacity import retry, retry_if_exception_type, retry_if_not_exception_type, stop_after_attempt from tenacity import retry, retry_if_exception_type, stop_after_attempt
from pr_agent.algo import CLAUDE_EXTENDED_THINKING_MODELS, NO_SUPPORT_TEMPERATURE_MODELS, SUPPORT_REASONING_EFFORT_MODELS, USER_MESSAGE_ONLY_MODELS from pr_agent.algo import CLAUDE_EXTENDED_THINKING_MODELS, NO_SUPPORT_TEMPERATURE_MODELS, SUPPORT_REASONING_EFFORT_MODELS, USER_MESSAGE_ONLY_MODELS
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
@ -274,8 +274,8 @@ class LiteLLMAIHandler(BaseAiHandler):
return get_settings().get("OPENAI.DEPLOYMENT_ID", None) return get_settings().get("OPENAI.DEPLOYMENT_ID", None)
@retry( @retry(
retry=retry_if_exception_type(openai.APIError) & retry_if_not_exception_type(openai.RateLimitError), retry=retry_if_exception_type((openai.APIError, openai.APIConnectionError, openai.APITimeoutError)), # No retry on RateLimitError
stop=stop_after_attempt(OPENAI_RETRIES), stop=stop_after_attempt(OPENAI_RETRIES)
) )
async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2, img_path: str = None): async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2, img_path: str = None):
try: try:
@ -371,13 +371,13 @@ class LiteLLMAIHandler(BaseAiHandler):
get_logger().info(f"\nUser prompt:\n{user}") get_logger().info(f"\nUser prompt:\n{user}")
response = await acompletion(**kwargs) response = await acompletion(**kwargs)
except openai.RateLimitError as e: except (openai.APIError, openai.APITimeoutError) as e:
get_logger().error(f"Rate limit error during LLM inference: {e}")
raise
except openai.APIError as e:
get_logger().warning(f"Error during LLM inference: {e}") get_logger().warning(f"Error during LLM inference: {e}")
raise raise
except Exception as e: except (openai.RateLimitError) as e:
get_logger().error(f"Rate limit error during LLM inference: {e}")
raise
except (Exception) as e:
get_logger().warning(f"Unknown error during LLM inference: {e}") get_logger().warning(f"Unknown error during LLM inference: {e}")
raise openai.APIError from e raise openai.APIError from e
if response is None or len(response["choices"]) == 0: if response is None or len(response["choices"]) == 0:

View File

@ -1,8 +1,8 @@
from os import environ from os import environ
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
import openai import openai
from openai import AsyncOpenAI from openai import APIError, AsyncOpenAI, RateLimitError, Timeout
from tenacity import retry, retry_if_exception_type, retry_if_not_exception_type, stop_after_attempt from retry import retry
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.config_loader import get_settings from pr_agent.config_loader import get_settings
@ -38,14 +38,10 @@ class OpenAIHandler(BaseAiHandler):
""" """
return get_settings().get("OPENAI.DEPLOYMENT_ID", None) return get_settings().get("OPENAI.DEPLOYMENT_ID", None)
@retry( @retry(exceptions=(APIError, Timeout, AttributeError, RateLimitError),
retry=retry_if_exception_type(openai.APIError) & retry_if_not_exception_type(openai.RateLimitError), tries=OPENAI_RETRIES, delay=2, backoff=2, jitter=(1, 3))
stop=stop_after_attempt(OPENAI_RETRIES), async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2):
)
async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2, img_path: str = None):
try: try:
if img_path:
get_logger().warning(f"Image path is not supported for OpenAIHandler. Ignoring image path: {img_path}")
get_logger().info("System: ", system) get_logger().info("System: ", system)
get_logger().info("User: ", user) get_logger().info("User: ", user)
messages = [{"role": "system", "content": system}, {"role": "user", "content": user}] messages = [{"role": "system", "content": system}, {"role": "user", "content": user}]
@ -61,12 +57,12 @@ class OpenAIHandler(BaseAiHandler):
get_logger().info("AI response", response=resp, messages=messages, finish_reason=finish_reason, get_logger().info("AI response", response=resp, messages=messages, finish_reason=finish_reason,
model=model, usage=usage) model=model, usage=usage)
return resp, finish_reason return resp, finish_reason
except openai.RateLimitError as e: except (APIError, Timeout) as e:
get_logger().error(f"Rate limit error during LLM inference: {e}") get_logger().error("Error during OpenAI inference: ", e)
raise raise
except openai.APIError as e: except (RateLimitError) as e:
get_logger().warning(f"Error during LLM inference: {e}") get_logger().error("Rate limit error during OpenAI inference: ", e)
raise
except (Exception) as e:
get_logger().error("Unknown error during OpenAI inference: ", e)
raise raise
except Exception as e:
get_logger().warning(f"Unknown error during LLM inference: {e}")
raise openai.APIError from e

View File

@ -58,9 +58,6 @@ def filter_ignored(files, platform = 'github'):
files = files_o files = files_o
elif platform == 'azure': elif platform == 'azure':
files = [f for f in files if not r.match(f)] files = [f for f in files if not r.match(f)]
elif platform == 'gitea':
files = [f for f in files if not r.match(f.get("filename", ""))]
except Exception as e: except Exception as e:
print(f"Could not filter file list: {e}") print(f"Could not filter file list: {e}")

View File

@ -1,6 +1,4 @@
from threading import Lock from threading import Lock
from math import ceil
import re
from jinja2 import Environment, StrictUndefined from jinja2 import Environment, StrictUndefined
from tiktoken import encoding_for_model, get_encoding from tiktoken import encoding_for_model, get_encoding
@ -9,16 +7,6 @@ from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger from pr_agent.log import get_logger
class ModelTypeValidator:
@staticmethod
def is_openai_model(model_name: str) -> bool:
return 'gpt' in model_name or re.match(r"^o[1-9](-mini|-preview)?$", model_name)
@staticmethod
def is_anthropic_model(model_name: str) -> bool:
return 'claude' in model_name
class TokenEncoder: class TokenEncoder:
_encoder_instance = None _encoder_instance = None
_model = None _model = None
@ -52,10 +40,6 @@ class TokenHandler:
method. method.
""" """
# Constants
CLAUDE_MODEL = "claude-3-7-sonnet-20250219"
CLAUDE_MAX_CONTENT_SIZE = 9_000_000 # Maximum allowed content size (9MB) for Claude API
def __init__(self, pr=None, vars: dict = {}, system="", user=""): def __init__(self, pr=None, vars: dict = {}, system="", user=""):
""" """
Initializes the TokenHandler object. Initializes the TokenHandler object.
@ -67,7 +51,6 @@ class TokenHandler:
- user: The user string. - user: The user string.
""" """
self.encoder = TokenEncoder.get_token_encoder() self.encoder = TokenEncoder.get_token_encoder()
if pr is not None: if pr is not None:
self.prompt_tokens = self._get_system_user_tokens(pr, self.encoder, vars, system, user) self.prompt_tokens = self._get_system_user_tokens(pr, self.encoder, vars, system, user)
@ -96,22 +79,22 @@ class TokenHandler:
get_logger().error(f"Error in _get_system_user_tokens: {e}") get_logger().error(f"Error in _get_system_user_tokens: {e}")
return 0 return 0
def _calc_claude_tokens(self, patch: str) -> int: def calc_claude_tokens(self, patch):
try: try:
import anthropic import anthropic
from pr_agent.algo import MAX_TOKENS from pr_agent.algo import MAX_TOKENS
client = anthropic.Anthropic(api_key=get_settings(use_context=False).get('anthropic.key')) client = anthropic.Anthropic(api_key=get_settings(use_context=False).get('anthropic.key'))
max_tokens = MAX_TOKENS[get_settings().config.model] MaxTokens = MAX_TOKENS[get_settings().config.model]
if len(patch.encode('utf-8')) > self.CLAUDE_MAX_CONTENT_SIZE: # Check if the content size is too large (9MB limit)
if len(patch.encode('utf-8')) > 9_000_000:
get_logger().warning( get_logger().warning(
"Content too large for Anthropic token counting API, falling back to local tokenizer" "Content too large for Anthropic token counting API, falling back to local tokenizer"
) )
return max_tokens return MaxTokens
response = client.messages.count_tokens( response = client.messages.count_tokens(
model=self.CLAUDE_MODEL, model="claude-3-7-sonnet-20250219",
system="system", system="system",
messages=[{ messages=[{
"role": "user", "role": "user",
@ -121,51 +104,42 @@ class TokenHandler:
return response.input_tokens return response.input_tokens
except Exception as e: except Exception as e:
get_logger().error(f"Error in Anthropic token counting: {e}") get_logger().error( f"Error in Anthropic token counting: {e}")
return max_tokens return MaxTokens
def _apply_estimation_factor(self, model_name: str, default_estimate: int) -> int: def estimate_token_count_for_non_anth_claude_models(self, model, default_encoder_estimate):
factor = 1 + get_settings().get('config.model_token_count_estimate_factor', 0) from math import ceil
get_logger().warning(f"{model_name}'s token count cannot be accurately estimated. Using factor of {factor}") import re
return ceil(factor * default_estimate) model_is_from_o_series = re.match(r"^o[1-9](-mini|-preview)?$", model)
if ('gpt' in get_settings().config.model.lower() or model_is_from_o_series) and get_settings(use_context=False).get('openai.key'):
return default_encoder_estimate
#else: Model is not an OpenAI one - therefore, cannot provide an accurate token count and instead, return a higher number as best effort.
def _get_token_count_by_model_type(self, patch: str, default_estimate: int) -> int: elbow_factor = 1 + get_settings().get('config.model_token_count_estimate_factor', 0)
""" get_logger().warning(f"{model}'s expected token count cannot be accurately estimated. Using {elbow_factor} of encoder output as best effort estimate")
Get token count based on model type. return ceil(elbow_factor * default_encoder_estimate)
Args: def count_tokens(self, patch: str, force_accurate=False) -> int:
patch: The text to count tokens for.
default_estimate: The default token count estimate.
Returns:
int: The calculated token count.
"""
model_name = get_settings().config.model.lower()
if ModelTypeValidator.is_openai_model(model_name) and get_settings(use_context=False).get('openai.key'):
return default_estimate
if ModelTypeValidator.is_anthropic_model(model_name) and get_settings(use_context=False).get('anthropic.key'):
return self._calc_claude_tokens(patch)
return self._apply_estimation_factor(model_name, default_estimate)
def count_tokens(self, patch: str, force_accurate: bool = False) -> int:
""" """
Counts the number of tokens in a given patch string. Counts the number of tokens in a given patch string.
Args: Args:
- patch: The patch string. - patch: The patch string.
- force_accurate: If True, uses a more precise calculation method.
Returns: Returns:
The number of tokens in the patch string. The number of tokens in the patch string.
""" """
encoder_estimate = len(self.encoder.encode(patch, disallowed_special=())) encoder_estimate = len(self.encoder.encode(patch, disallowed_special=()))
# If an estimate is enough (for example, in cases where the maximal allowed tokens is way below the known limits), return it. #If an estimate is enough (for example, in cases where the maximal allowed tokens is way below the known limits), return it.
if not force_accurate: if not force_accurate:
return encoder_estimate return encoder_estimate
return self._get_token_count_by_model_type(patch, encoder_estimate) #else, force_accurate==True: User requested providing an accurate estimation:
model = get_settings().config.model.lower()
if 'claude' in model and get_settings(use_context=False).get('anthropic.key'):
return self.calc_claude_tokens(patch) # API call to Anthropic for accurate token counting for Claude models
#else: Non Anthropic provided model:
return self.estimate_token_count_for_non_anth_claude_models(model, encoder_estimate)

View File

@ -945,66 +945,12 @@ def clip_tokens(text: str, max_tokens: int, add_three_dots=True, num_input_token
""" """
Clip the number of tokens in a string to a maximum number of tokens. Clip the number of tokens in a string to a maximum number of tokens.
This function limits text to a specified token count by calculating the approximate
character-to-token ratio and truncating the text accordingly. A safety factor of 0.9
(10% reduction) is applied to ensure the result stays within the token limit.
Args: Args:
text (str): The string to clip. If empty or None, returns the input unchanged. text (str): The string to clip.
max_tokens (int): The maximum number of tokens allowed in the string. max_tokens (int): The maximum number of tokens allowed in the string.
If negative, returns an empty string. add_three_dots (bool, optional): A boolean indicating whether to add three dots at the end of the clipped
add_three_dots (bool, optional): Whether to add "\\n...(truncated)" at the end
of the clipped text to indicate truncation.
Defaults to True.
num_input_tokens (int, optional): Pre-computed number of tokens in the input text.
If provided, skips token encoding step for efficiency.
If None, tokens will be counted using TokenEncoder.
Defaults to None.
delete_last_line (bool, optional): Whether to remove the last line from the
clipped content before adding truncation indicator.
Useful for ensuring clean breaks at line boundaries.
Defaults to False.
Returns: Returns:
str: The clipped string. Returns original text if: str: The clipped string.
- Text is empty/None
- Token count is within limit
- An error occurs during processing
Returns empty string if max_tokens <= 0.
Examples:
Basic usage:
>>> text = "This is a sample text that might be too long"
>>> result = clip_tokens(text, max_tokens=10)
>>> print(result)
This is a sample...
(truncated)
Without truncation indicator:
>>> result = clip_tokens(text, max_tokens=10, add_three_dots=False)
>>> print(result)
This is a sample
With pre-computed token count:
>>> result = clip_tokens(text, max_tokens=5, num_input_tokens=15)
>>> print(result)
This...
(truncated)
With line deletion:
>>> multiline_text = "Line 1\\nLine 2\\nLine 3"
>>> result = clip_tokens(multiline_text, max_tokens=3, delete_last_line=True)
>>> print(result)
Line 1
Line 2
...
(truncated)
Notes:
The function uses a safety factor of 0.9 (10% reduction) to ensure the
result stays within the token limit, as character-to-token ratios can vary.
If token encoding fails, the original text is returned with a warning logged.
""" """
if not text: if not text:
return text return text

View File

@ -8,11 +8,9 @@ from pr_agent.git_providers.bitbucket_server_provider import \
from pr_agent.git_providers.codecommit_provider import CodeCommitProvider from pr_agent.git_providers.codecommit_provider import CodeCommitProvider
from pr_agent.git_providers.gerrit_provider import GerritProvider from pr_agent.git_providers.gerrit_provider import GerritProvider
from pr_agent.git_providers.git_provider import GitProvider from pr_agent.git_providers.git_provider import GitProvider
from pr_agent.git_providers.gitea_provider import GiteaProvider
from pr_agent.git_providers.github_provider import GithubProvider from pr_agent.git_providers.github_provider import GithubProvider
from pr_agent.git_providers.gitlab_provider import GitLabProvider from pr_agent.git_providers.gitlab_provider import GitLabProvider
from pr_agent.git_providers.local_git_provider import LocalGitProvider from pr_agent.git_providers.local_git_provider import LocalGitProvider
from pr_agent.git_providers.gitea_provider import GiteaProvider
_GIT_PROVIDERS = { _GIT_PROVIDERS = {
'github': GithubProvider, 'github': GithubProvider,
@ -23,7 +21,6 @@ _GIT_PROVIDERS = {
'codecommit': CodeCommitProvider, 'codecommit': CodeCommitProvider,
'local': LocalGitProvider, 'local': LocalGitProvider,
'gerrit': GerritProvider, 'gerrit': GerritProvider,
'gitea': GiteaProvider
} }

View File

@ -618,7 +618,7 @@ class AzureDevopsProvider(GitProvider):
return pr_id return pr_id
except Exception as e: except Exception as e:
if get_settings().config.verbosity_level >= 2: if get_settings().config.verbosity_level >= 2:
get_logger().info(f"Failed to get PR id, error: {e}") get_logger().info(f"Failed to get pr id, error: {e}")
return "" return ""
def publish_file_comments(self, file_comments: list) -> bool: def publish_file_comments(self, file_comments: list) -> bool:

View File

@ -1,992 +0,0 @@
import hashlib
import json
from typing import Any, Dict, List, Optional, Set, Tuple
from urllib.parse import urlparse
import giteapy
from giteapy.rest import ApiException
from pr_agent.algo.file_filter import filter_ignored
from pr_agent.algo.language_handler import is_valid_file
from pr_agent.algo.types import EDIT_TYPE
from pr_agent.algo.utils import (clip_tokens,
find_line_number_of_relevant_line_in_file)
from pr_agent.config_loader import get_settings
from pr_agent.git_providers.git_provider import (MAX_FILES_ALLOWED_FULL,
FilePatchInfo, GitProvider,
IncrementalPR)
from pr_agent.log import get_logger
class GiteaProvider(GitProvider):
def __init__(self, url: Optional[str] = None):
super().__init__()
self.logger = get_logger()
if not url:
self.logger.error("PR URL not provided.")
raise ValueError("PR URL not provided.")
self.base_url = get_settings().get("GITEA.URL", "https://gitea.com").rstrip("/")
self.pr_url = ""
self.issue_url = ""
gitea_access_token = get_settings().get("GITEA.PERSONAL_ACCESS_TOKEN", None)
if not gitea_access_token:
self.logger.error("Gitea access token not found in settings.")
raise ValueError("Gitea access token not found in settings.")
self.repo_settings = get_settings().get("GITEA.REPO_SETTING", None)
configuration = giteapy.Configuration()
configuration.host = "{}/api/v1".format(self.base_url)
configuration.api_key['Authorization'] = f'token {gitea_access_token}'
client = giteapy.ApiClient(configuration)
self.repo_api = RepoApi(client)
self.owner = None
self.repo = None
self.pr_number = None
self.issue_number = None
self.max_comment_chars = 65000
self.enabled_pr = False
self.enabled_issue = False
self.temp_comments = []
self.pr = None
self.git_files = []
self.file_contents = {}
self.file_diffs = {}
self.sha = None
self.diff_files = []
self.incremental = IncrementalPR(False)
self.comments_list = []
self.unreviewed_files_set = dict()
if "pulls" in url:
self.pr_url = url
self.__set_repo_and_owner_from_pr()
self.enabled_pr = True
self.pr = self.repo_api.get_pull_request(
owner=self.owner,
repo=self.repo,
pr_number=self.pr_number
)
self.git_files = self.repo_api.get_change_file_pull_request(
owner=self.owner,
repo=self.repo,
pr_number=self.pr_number
)
# Optional ignore with user custom
self.git_files = filter_ignored(self.git_files, platform="gitea")
self.sha = self.pr.head.sha if self.pr.head.sha else ""
self.__add_file_content()
self.__add_file_diff()
self.pr_commits = self.repo_api.list_all_commits(
owner=self.owner,
repo=self.repo
)
self.last_commit = self.pr_commits[-1]
self.base_sha = self.pr.base.sha if self.pr.base.sha else ""
self.base_ref = self.pr.base.ref if self.pr.base.ref else ""
elif "issues" in url:
self.issue_url = url
self.__set_repo_and_owner_from_issue()
self.enabled_issue = True
else:
self.pr_commits = None
def __add_file_content(self):
for file in self.git_files:
file_path = file.get("filename")
# Ignore file from default settings
if not is_valid_file(file_path):
continue
if file_path and self.sha:
try:
content = self.repo_api.get_file_content(
owner=self.owner,
repo=self.repo,
commit_sha=self.sha,
filepath=file_path
)
self.file_contents[file_path] = content
except ApiException as e:
self.logger.error(f"Error getting file content for {file_path}: {str(e)}")
self.file_contents[file_path] = ""
def __add_file_diff(self):
try:
diff_contents = self.repo_api.get_pull_request_diff(
owner=self.owner,
repo=self.repo,
pr_number=self.pr_number
)
lines = diff_contents.splitlines()
current_file = None
current_patch = []
file_patches = {}
for line in lines:
if line.startswith('diff --git'):
if current_file and current_patch:
file_patches[current_file] = '\n'.join(current_patch)
current_patch = []
current_file = line.split(' b/')[-1]
elif line.startswith('@@'):
current_patch = [line]
elif current_patch:
current_patch.append(line)
if current_file and current_patch:
file_patches[current_file] = '\n'.join(current_patch)
self.file_diffs = file_patches
except Exception as e:
self.logger.error(f"Error getting diff content: {str(e)}")
def _parse_pr_url(self, pr_url: str) -> Tuple[str, str, int]:
parsed_url = urlparse(pr_url)
if parsed_url.path.startswith('/api/v1'):
parsed_url = urlparse(pr_url.replace("/api/v1", ""))
path_parts = parsed_url.path.strip('/').split('/')
if len(path_parts) < 4 or path_parts[2] != 'pulls':
raise ValueError("The provided URL does not appear to be a Gitea PR URL")
try:
pr_number = int(path_parts[3])
except ValueError as e:
raise ValueError("Unable to convert PR number to integer") from e
owner = path_parts[0]
repo = path_parts[1]
return owner, repo, pr_number
def _parse_issue_url(self, issue_url: str) -> Tuple[str, str, int]:
parsed_url = urlparse(issue_url)
if parsed_url.path.startswith('/api/v1'):
parsed_url = urlparse(issue_url.replace("/api/v1", ""))
path_parts = parsed_url.path.strip('/').split('/')
if len(path_parts) < 4 or path_parts[2] != 'issues':
raise ValueError("The provided URL does not appear to be a Gitea issue URL")
try:
issue_number = int(path_parts[3])
except ValueError as e:
raise ValueError("Unable to convert issue number to integer") from e
owner = path_parts[0]
repo = path_parts[1]
return owner, repo, issue_number
def __set_repo_and_owner_from_pr(self):
"""Extract owner and repo from the PR URL"""
try:
owner, repo, pr_number = self._parse_pr_url(self.pr_url)
self.owner = owner
self.repo = repo
self.pr_number = pr_number
self.logger.info(f"Owner: {self.owner}, Repo: {self.repo}, PR Number: {self.pr_number}")
except ValueError as e:
self.logger.error(f"Error parsing PR URL: {str(e)}")
except Exception as e:
self.logger.error(f"Unexpected error: {str(e)}")
def __set_repo_and_owner_from_issue(self):
"""Extract owner and repo from the issue URL"""
try:
owner, repo, issue_number = self._parse_issue_url(self.issue_url)
self.owner = owner
self.repo = repo
self.issue_number = issue_number
self.logger.info(f"Owner: {self.owner}, Repo: {self.repo}, Issue Number: {self.issue_number}")
except ValueError as e:
self.logger.error(f"Error parsing issue URL: {str(e)}")
except Exception as e:
self.logger.error(f"Unexpected error: {str(e)}")
def get_pr_url(self) -> str:
return self.pr_url
def get_issue_url(self) -> str:
return self.issue_url
def publish_comment(self, comment: str,is_temporary: bool = False) -> None:
"""Publish a comment to the pull request"""
if is_temporary and not get_settings().config.publish_output_progress:
get_logger().debug(f"Skipping publish_comment for temporary comment")
return None
if self.enabled_issue:
index = self.issue_number
elif self.enabled_pr:
index = self.pr_number
else:
self.logger.error("Neither PR nor issue URL provided.")
return None
comment = self.limit_output_characters(comment, self.max_comment_chars)
response = self.repo_api.create_comment(
owner=self.owner,
repo=self.repo,
index=index,
comment=comment
)
if not response:
self.logger.error("Failed to publish comment")
return None
if is_temporary:
self.temp_comments.append(comment)
comment_obj = {
"is_temporary": is_temporary,
"comment": comment,
"comment_id": response.id if isinstance(response, tuple) else response.id
}
self.comments_list.append(comment_obj)
self.logger.info("Comment published")
return comment_obj
def edit_comment(self, comment, body : str):
body = self.limit_output_characters(body, self.max_comment_chars)
try:
self.repo_api.edit_comment(
owner=self.owner,
repo=self.repo,
comment_id=comment.get("comment_id") if isinstance(comment, dict) else comment.id,
comment=body
)
except ApiException as e:
self.logger.error(f"Error editing comment: {e}")
return None
except Exception as e:
self.logger.error(f"Unexpected error: {e}")
return None
def publish_inline_comment(self,body: str, relevant_file: str, relevant_line_in_file: str, original_suggestion=None):
"""Publish an inline comment on a specific line"""
body = self.limit_output_characters(body, self.max_comment_chars)
position, absolute_position = find_line_number_of_relevant_line_in_file(self.diff_files,
relevant_file.strip('`'),
relevant_line_in_file,
)
if position == -1:
get_logger().info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
subject_type = "FILE"
else:
subject_type = "LINE"
path = relevant_file.strip()
payload = dict(body=body, path=path, old_position=position,new_position = absolute_position) if subject_type == "LINE" else {}
self.publish_inline_comments([payload])
def publish_inline_comments(self, comments: List[Dict[str, Any]],body : str = "Inline comment") -> None:
response = self.repo_api.create_inline_comment(
owner=self.owner,
repo=self.repo,
pr_number=self.pr_number if self.enabled_pr else self.issue_number,
body=body,
commit_id=self.last_commit.sha if self.last_commit else "",
comments=comments
)
if not response:
self.logger.error("Failed to publish inline comment")
return None
self.logger.info("Inline comment published")
def publish_code_suggestions(self, suggestions: List[Dict[str, Any]]):
"""Publish code suggestions"""
for suggestion in suggestions:
body = suggestion.get("body","")
if not body:
self.logger.error("No body provided for the suggestion")
continue
path = suggestion.get("relevant_file","")
new_position = suggestion.get("relevant_lines_start",0)
old_position = suggestion.get("relevant_lines_start",0) if "original_suggestion" not in suggestion else suggestion["original_suggestion"].get("relevant_lines_start",0)
title_body = suggestion["original_suggestion"].get("suggestion_content","") if "original_suggestion" in suggestion else ""
payload = dict(body=body, path=path, old_position=old_position,new_position = new_position)
if title_body:
title_body = f"**Suggestion:** {title_body}"
self.publish_inline_comments([payload],title_body)
else:
self.publish_inline_comments([payload])
def add_eyes_reaction(self, issue_comment_id: int, disable_eyes: bool = False) -> Optional[int]:
"""Add eyes reaction to a comment"""
try:
if disable_eyes:
return None
comments = self.repo_api.list_all_comments(
owner=self.owner,
repo=self.repo,
index=self.pr_number if self.enabled_pr else self.issue_number
)
comment_ids = [comment.id for comment in comments]
if issue_comment_id not in comment_ids:
self.logger.error(f"Comment ID {issue_comment_id} not found. Available IDs: {comment_ids}")
return None
response = self.repo_api.add_reaction_comment(
owner=self.owner,
repo=self.repo,
comment_id=issue_comment_id,
reaction="eyes"
)
if not response:
self.logger.error("Failed to add eyes reaction")
return None
return response[0].id if isinstance(response, tuple) else response.id
except ApiException as e:
self.logger.error(f"Error adding eyes reaction: {e}")
return None
except Exception as e:
self.logger.error(f"Unexpected error: {e}")
return None
def remove_reaction(self, comment_id: int) -> None:
"""Remove reaction from a comment"""
try:
response = self.repo_api.remove_reaction_comment(
owner=self.owner,
repo=self.repo,
comment_id=comment_id
)
if not response:
self.logger.error("Failed to remove reaction")
except ApiException as e:
self.logger.error(f"Error removing reaction: {e}")
except Exception as e:
self.logger.error(f"Unexpected error: {e}")
def get_commit_messages(self)-> str:
"""Get commit messages for the PR"""
max_tokens = get_settings().get("CONFIG.MAX_COMMITS_TOKENS", None)
pr_commits = self.repo_api.get_pr_commits(
owner=self.owner,
repo=self.repo,
pr_number=self.pr_number
)
if not pr_commits:
self.logger.error("Failed to get commit messages")
return ""
try:
commit_messages = [commit["commit"]["message"] for commit in pr_commits if commit]
if not commit_messages:
self.logger.error("No commit messages found")
return ""
commit_message = "".join(commit_messages)
if max_tokens:
commit_message = clip_tokens(commit_message, max_tokens)
return commit_message
except Exception as e:
self.logger.error(f"Error processing commit messages: {str(e)}")
return ""
def _get_file_content_from_base(self, filename: str) -> str:
return self.repo_api.get_file_content(
owner=self.owner,
repo=self.base_ref,
commit_sha=self.base_sha,
filepath=filename
)
def _get_file_content_from_latest_commit(self, filename: str) -> str:
return self.repo_api.get_file_content(
owner=self.owner,
repo=self.base_ref,
commit_sha=self.last_commit.sha,
filepath=filename
)
def get_diff_files(self) -> List[FilePatchInfo]:
"""Get files that were modified in the PR"""
if self.diff_files:
return self.diff_files
invalid_files_names = []
counter_valid = 0
diff_files = []
for file in self.git_files:
filename = file.get("filename")
if not filename:
continue
if not is_valid_file(filename):
invalid_files_names.append(filename)
continue
counter_valid += 1
avoid_load = False
patch = self.file_diffs.get(filename,"")
head_file = ""
base_file = ""
if counter_valid >= MAX_FILES_ALLOWED_FULL and patch and not self.incremental.is_incremental:
avoid_load = True
if counter_valid == MAX_FILES_ALLOWED_FULL:
self.logger.info("Too many files in PR, will avoid loading full content for rest of files")
if avoid_load:
head_file = ""
else:
# Get file content from this pr
head_file = self.file_contents.get(filename,"")
if self.incremental.is_incremental and self.unreviewed_files_set:
base_file = self._get_file_content_from_latest_commit(filename)
self.unreviewed_files_set[filename] = patch
else:
if avoid_load:
base_file = ""
else:
base_file = self._get_file_content_from_base(filename)
num_plus_lines = file.get("additions",0)
num_minus_lines = file.get("deletions",0)
status = file.get("status","")
if status == 'added':
edit_type = EDIT_TYPE.ADDED
elif status == 'removed':
edit_type = EDIT_TYPE.DELETED
elif status == 'renamed':
edit_type = EDIT_TYPE.RENAMED
elif status == 'modified':
edit_type = EDIT_TYPE.MODIFIED
else:
self.logger.error(f"Unknown edit type: {status}")
edit_type = EDIT_TYPE.UNKNOWN
file_patch_info = FilePatchInfo(
base_file=base_file,
head_file=head_file,
patch=patch,
filename=filename,
num_minus_lines=num_minus_lines,
num_plus_lines=num_plus_lines,
edit_type=edit_type
)
diff_files.append(file_patch_info)
if invalid_files_names:
self.logger.info(f"Filtered out files with invalid extensions: {invalid_files_names}")
self.diff_files = diff_files
return diff_files
def get_line_link(self, relevant_file, relevant_line_start, relevant_line_end = None) -> str:
if relevant_line_start == -1:
link = f"{self.base_url}/{self.owner}/{self.repo}/src/branch/{self.get_pr_branch()}/{relevant_file}"
elif relevant_line_end:
link = f"{self.base_url}/{self.owner}/{self.repo}/src/branch/{self.get_pr_branch()}/{relevant_file}#L{relevant_line_start}-L{relevant_line_end}"
else:
link = f"{self.base_url}/{self.owner}/{self.repo}/src/branch/{self.get_pr_branch()}/{relevant_file}#L{relevant_line_start}"
self.logger.info(f"Generated link: {link}")
return link
def get_files(self) -> List[Dict[str, Any]]:
"""Get all files in the PR"""
return [file.get("filename","") for file in self.git_files]
def get_num_of_files(self) -> int:
"""Get number of files changed in the PR"""
return len(self.git_files)
def get_issue_comments(self) -> List[Dict[str, Any]]:
"""Get all comments in the PR"""
index = self.issue_number if self.enabled_issue else self.pr_number
comments = self.repo_api.list_all_comments(
owner=self.owner,
repo=self.repo,
index=index
)
if not comments:
self.logger.error("Failed to get comments")
return []
return comments
def get_languages(self) -> Set[str]:
"""Get programming languages used in the repository"""
languages = self.repo_api.get_languages(
owner=self.owner,
repo=self.repo
)
return languages
def get_pr_branch(self) -> str:
"""Get the branch name of the PR"""
if not self.pr:
self.logger.error("Failed to get PR branch")
return ""
if not self.pr.head:
self.logger.error("PR head not found")
return ""
return self.pr.head.ref if self.pr.head.ref else ""
def get_pr_description_full(self) -> str:
"""Get full PR description with metadata"""
if not self.pr:
self.logger.error("Failed to get PR description")
return ""
return self.pr.body if self.pr.body else ""
def get_pr_labels(self,update=False) -> List[str]:
"""Get labels assigned to the PR"""
if not update:
if not self.pr.labels:
self.logger.error("Failed to get PR labels")
return []
return [label.name for label in self.pr.labels]
labels = self.repo_api.get_issue_labels(
owner=self.owner,
repo=self.repo,
issue_number=self.pr_number
)
if not labels:
self.logger.error("Failed to get PR labels")
return []
return [label.name for label in labels]
def get_repo_settings(self) -> str:
"""Get repository settings"""
if not self.repo_settings:
self.logger.error("Repository settings not found")
return ""
response = self.repo_api.get_file_content(
owner=self.owner,
repo=self.repo,
commit_sha=self.sha,
filepath=self.repo_settings
)
if not response:
self.logger.error("Failed to get repository settings")
return ""
return response
def get_user_id(self) -> str:
"""Get the ID of the authenticated user"""
return f"{self.pr.user.id}" if self.pr else ""
def is_supported(self, capability) -> bool:
"""Check if the provider is supported"""
return True
def publish_description(self, pr_title: str, pr_body: str) -> None:
"""Publish PR description"""
response = self.repo_api.edit_pull_request(
owner=self.owner,
repo=self.repo,
pr_number=self.pr_number if self.enabled_pr else self.issue_number,
title=pr_title,
body=pr_body
)
if not response:
self.logger.error("Failed to publish PR description")
return None
self.logger.info("PR description published successfully")
if self.enabled_pr:
self.pr = self.repo_api.get_pull_request(
owner=self.owner,
repo=self.repo,
pr_number=self.pr_number
)
def publish_labels(self, labels: List[int]) -> None:
"""Publish labels to the PR"""
if not labels:
self.logger.error("No labels provided to publish")
return None
response = self.repo_api.add_labels(
owner=self.owner,
repo=self.repo,
issue_number=self.pr_number if self.enabled_pr else self.issue_number,
labels=labels
)
if response:
self.logger.info("Labels added successfully")
def remove_comment(self, comment) -> None:
"""Remove a specific comment"""
if not comment:
return
try:
comment_id = comment.get("comment_id") if isinstance(comment, dict) else comment.id
if not comment_id:
self.logger.error("Comment ID not found")
return None
self.repo_api.remove_comment(
owner=self.owner,
repo=self.repo,
comment_id=comment_id
)
if self.comments_list and comment in self.comments_list:
self.comments_list.remove(comment)
self.logger.info(f"Comment removed successfully: {comment}")
except ApiException as e:
self.logger.error(f"Error removing comment: {e}")
raise e
def remove_initial_comment(self) -> None:
"""Remove the initial comment"""
for comment in self.comments_list:
try:
if not comment.get("is_temporary"):
continue
self.remove_comment(comment)
except Exception as e:
self.logger.error(f"Error removing comment: {e}")
continue
self.logger.info(f"Removed initial comment: {comment.get('comment_id')}")
class RepoApi(giteapy.RepositoryApi):
def __init__(self, client: giteapy.ApiClient):
self.repository = giteapy.RepositoryApi(client)
self.issue = giteapy.IssueApi(client)
self.logger = get_logger()
super().__init__(client)
def create_inline_comment(self, owner: str, repo: str, pr_number: int, body : str ,commit_id : str, comments: List[Dict[str, Any]]) -> None:
body = {
"body": body,
"comments": comments,
"commit_id": commit_id,
}
return self.api_client.call_api(
'/repos/{owner}/{repo}/pulls/{pr_number}/reviews',
'POST',
path_params={'owner': owner, 'repo': repo, 'pr_number': pr_number},
body=body,
response_type='Repository',
auth_settings=['AuthorizationHeaderToken']
)
def create_comment(self, owner: str, repo: str, index: int, comment: str):
body = {
"body": comment
}
return self.issue.issue_create_comment(
owner=owner,
repo=repo,
index=index,
body=body
)
def edit_comment(self, owner: str, repo: str, comment_id: int, comment: str):
body = {
"body": comment
}
return self.issue.issue_edit_comment(
owner=owner,
repo=repo,
id=comment_id,
body=body
)
def remove_comment(self, owner: str, repo: str, comment_id: int):
return self.issue.issue_delete_comment(
owner=owner,
repo=repo,
id=comment_id
)
def list_all_comments(self, owner: str, repo: str, index: int):
return self.issue.issue_get_comments(
owner=owner,
repo=repo,
index=index
)
def get_pull_request_diff(self, owner: str, repo: str, pr_number: int) -> str:
"""Get the diff content of a pull request using direct API call"""
try:
token = self.api_client.configuration.api_key.get('Authorization', '').replace('token ', '')
url = f'/repos/{owner}/{repo}/pulls/{pr_number}.diff'
if token:
url = f'{url}?token={token}'
response = self.api_client.call_api(
url,
'GET',
path_params={},
response_type=None,
_return_http_data_only=False,
_preload_content=False
)
if hasattr(response, 'data'):
raw_data = response.data.read()
return raw_data.decode('utf-8')
elif isinstance(response, tuple):
raw_data = response[0].read()
return raw_data.decode('utf-8')
else:
error_msg = f"Unexpected response format received from API: {type(response)}"
self.logger.error(error_msg)
raise RuntimeError(error_msg)
except ApiException as e:
self.logger.error(f"Error getting diff: {str(e)}")
raise e
except Exception as e:
self.logger.error(f"Unexpected error: {str(e)}")
raise e
def get_pull_request(self, owner: str, repo: str, pr_number: int):
"""Get pull request details including description"""
return self.repository.repo_get_pull_request(
owner=owner,
repo=repo,
index=pr_number
)
def edit_pull_request(self, owner: str, repo: str, pr_number: int,title : str, body: str):
"""Edit pull request description"""
body = {
"body": body,
"title" : title
}
return self.repository.repo_edit_pull_request(
owner=owner,
repo=repo,
index=pr_number,
body=body
)
def get_change_file_pull_request(self, owner: str, repo: str, pr_number: int):
"""Get changed files in the pull request"""
try:
token = self.api_client.configuration.api_key.get('Authorization', '').replace('token ', '')
url = f'/repos/{owner}/{repo}/pulls/{pr_number}/files'
if token:
url = f'{url}?token={token}'
response = self.api_client.call_api(
url,
'GET',
path_params={},
response_type=None,
_return_http_data_only=False,
_preload_content=False
)
if hasattr(response, 'data'):
raw_data = response.data.read()
diff_content = raw_data.decode('utf-8')
return json.loads(diff_content) if isinstance(diff_content, str) else diff_content
elif isinstance(response, tuple):
raw_data = response[0].read()
diff_content = raw_data.decode('utf-8')
return json.loads(diff_content) if isinstance(diff_content, str) else diff_content
return []
except ApiException as e:
self.logger.error(f"Error getting changed files: {e}")
return []
except Exception as e:
self.logger.error(f"Unexpected error: {e}")
return []
def get_languages(self, owner: str, repo: str):
"""Get programming languages used in the repository"""
try:
token = self.api_client.configuration.api_key.get('Authorization', '').replace('token ', '')
url = f'/repos/{owner}/{repo}/languages'
if token:
url = f'{url}?token={token}'
response = self.api_client.call_api(
url,
'GET',
path_params={},
response_type=None,
_return_http_data_only=False,
_preload_content=False
)
if hasattr(response, 'data'):
raw_data = response.data.read()
return json.loads(raw_data.decode('utf-8'))
elif isinstance(response, tuple):
raw_data = response[0].read()
return json.loads(raw_data.decode('utf-8'))
return {}
except ApiException as e:
self.logger.error(f"Error getting languages: {e}")
return {}
except Exception as e:
self.logger.error(f"Unexpected error: {e}")
return {}
def get_file_content(self, owner: str, repo: str, commit_sha: str, filepath: str) -> str:
"""Get raw file content from a specific commit"""
try:
token = self.api_client.configuration.api_key.get('Authorization', '').replace('token ', '')
url = f'/repos/{owner}/{repo}/raw/{filepath}'
if token:
url = f'{url}?token={token}&ref={commit_sha}'
response = self.api_client.call_api(
url,
'GET',
path_params={},
response_type=None,
_return_http_data_only=False,
_preload_content=False
)
if hasattr(response, 'data'):
raw_data = response.data.read()
return raw_data.decode('utf-8')
elif isinstance(response, tuple):
raw_data = response[0].read()
return raw_data.decode('utf-8')
return ""
except ApiException as e:
self.logger.error(f"Error getting file: {filepath}, content: {e}")
return ""
except Exception as e:
self.logger.error(f"Unexpected error: {e}")
return ""
def get_issue_labels(self, owner: str, repo: str, issue_number: int):
"""Get labels assigned to the issue"""
return self.issue.issue_get_labels(
owner=owner,
repo=repo,
index=issue_number
)
def list_all_commits(self, owner: str, repo: str):
return self.repository.repo_get_all_commits(
owner=owner,
repo=repo
)
def add_reviewer(self, owner: str, repo: str, pr_number: int, reviewers: List[str]):
body = {
"reviewers": reviewers
}
return self.api_client.call_api(
'/repos/{owner}/{repo}/pulls/{pr_number}/requested_reviewers',
'POST',
path_params={'owner': owner, 'repo': repo, 'pr_number': pr_number},
body=body,
response_type='Repository',
auth_settings=['AuthorizationHeaderToken']
)
def add_reaction_comment(self, owner: str, repo: str, comment_id: int, reaction: str):
body = {
"content": reaction
}
return self.api_client.call_api(
'/repos/{owner}/{repo}/issues/comments/{id}/reactions',
'POST',
path_params={'owner': owner, 'repo': repo, 'id': comment_id},
body=body,
response_type='Repository',
auth_settings=['AuthorizationHeaderToken']
)
def remove_reaction_comment(self, owner: str, repo: str, comment_id: int):
return self.api_client.call_api(
'/repos/{owner}/{repo}/issues/comments/{id}/reactions',
'DELETE',
path_params={'owner': owner, 'repo': repo, 'id': comment_id},
response_type='Repository',
auth_settings=['AuthorizationHeaderToken']
)
def add_labels(self, owner: str, repo: str, issue_number: int, labels: List[int]):
body = {
"labels": labels
}
return self.issue.issue_add_label(
owner=owner,
repo=repo,
index=issue_number,
body=body
)
def get_pr_commits(self, owner: str, repo: str, pr_number: int):
"""Get all commits in a pull request"""
try:
token = self.api_client.configuration.api_key.get('Authorization', '').replace('token ', '')
url = f'/repos/{owner}/{repo}/pulls/{pr_number}/commits'
if token:
url = f'{url}?token={token}'
response = self.api_client.call_api(
url,
'GET',
path_params={},
response_type=None,
_return_http_data_only=False,
_preload_content=False
)
if hasattr(response, 'data'):
raw_data = response.data.read()
commits_data = json.loads(raw_data.decode('utf-8'))
return commits_data
elif isinstance(response, tuple):
raw_data = response[0].read()
commits_data = json.loads(raw_data.decode('utf-8'))
return commits_data
return []
except ApiException as e:
self.logger.error(f"Error getting PR commits: {e}")
return []
except Exception as e:
self.logger.error(f"Unexpected error: {e}")
return []

View File

@ -96,7 +96,7 @@ class GithubProvider(GitProvider):
parsed_url = urlparse(given_url) parsed_url = urlparse(given_url)
repo_path = (parsed_url.path.split('.git')[0])[1:] # /<owner>/<repo>.git -> <owner>/<repo> repo_path = (parsed_url.path.split('.git')[0])[1:] # /<owner>/<repo>.git -> <owner>/<repo>
if not repo_path: if not repo_path:
get_logger().error(f"url is neither an issues url nor a PR url nor a valid git url: {given_url}. Returning empty result.") get_logger().error(f"url is neither an issues url nor a pr url nor a valid git url: {given_url}. Returning empty result.")
return "" return ""
return repo_path return repo_path
except Exception as e: except Exception as e:

View File

@ -1,60 +0,0 @@
import requests
import json
import webbrowser
BASE_URL="https://api.cli.qodo.ai"
QM_CMD_ENDPOINT_KEY_NAME="qm_cmd_endpoint"
def get_api_key():
try:
url = f"{BASE_URL}/v1/auth/cli-auth?key_name={QM_CMD_ENDPOINT_KEY_NAME}"
# Make HTTP request
response = requests.get(url, stream=True, # For SSE (Server-Sent Events)
headers={'Accept': 'text/event-stream'})
# Parse Server-Sent Events format
# Look for line:
# data: {"auth_url":"https:\/\/auth.qodo.ai\/?extensionId=Codium.codium&extensionQuery=<SOME UUID>&uriScheme=cli"}
opened_auth_url = False
for line in response.iter_lines(decode_unicode=True):
if line and line.startswith('data:'):
data_json = line.replace('data: ', '', 1)
try:
data = json.loads(data_json)
if not opened_auth_url:
if 'auth_url' not in data:
print(f"Expected an auth_url, but couldn't find one.")
return None
print(f"Got url: {data['auth_url']}.")
# Unescape the URL
auth_url = data['auth_url'].replace('\\/', '/')
webbrowser.open(auth_url)
opened_auth_url = True
else:
api_key = data.get('api_key', None)
print(f"Got api key: {api_key}.")
if not api_key:
print(f"Expected an api_key, but couldn't find one.")
return api_key
except json.JSONDecodeError as e:
print(f"Error parsing JSON: {e}")
return None
print("No data line found in response")
return None
except requests.exceptions.RequestException as e:
print(f"Error making HTTP request: {e}")
return None
def run():
"""This is the function serving as this file's entry point, as defined in pyproject.toml"""
print("Attempting to generate an API Key...")
api_key = get_api_key()
if api_key:
print(f"Please use the following API Key: {api_key} when invoking QM endpoint.")
print(f"For example: curl -i --header \"Authorization: ApiKey {api_key}\" -X POST https://<QM ENDPOINT SERVER ADDR>/api/v1/qodo_merge_cmd")
if __name__ == "__main__":
run()

View File

@ -1,4 +0,0 @@
curl -s --no-buffer "https://api.cli.qodo.ai/v1/auth/cli-auth" | while read line; do
[[ $line == data:*auth_url* ]] && open "$(echo "$line" | sed 's/.*"auth_url":"\([^"]*\)".*/\1/' | sed 's/\\//g')"
[[ $line == data:*api_key* ]] && echo "✅ Authentication successful! API key saved.\n📋 Your API key: $(echo "$line" | sed 's/.*"api_key":"\([^"]*\)".*/\1/')" && break
done

View File

@ -1,128 +0,0 @@
import asyncio
import copy
import os
from typing import Any, Dict
from fastapi import APIRouter, FastAPI, HTTPException, Request, Response
from starlette.background import BackgroundTasks
from starlette.middleware import Middleware
from starlette_context import context
from starlette_context.middleware import RawContextMiddleware
from pr_agent.agent.pr_agent import PRAgent
from pr_agent.config_loader import get_settings, global_settings
from pr_agent.log import LoggingFormat, get_logger, setup_logger
from pr_agent.servers.utils import verify_signature
# Setup logging and router
setup_logger(fmt=LoggingFormat.JSON, level=get_settings().get("CONFIG.LOG_LEVEL", "DEBUG"))
router = APIRouter()
@router.post("/api/v1/gitea_webhooks")
async def handle_gitea_webhooks(background_tasks: BackgroundTasks, request: Request, response: Response):
"""Handle incoming Gitea webhook requests"""
get_logger().debug("Received a Gitea webhook")
body = await get_body(request)
# Set context for the request
context["settings"] = copy.deepcopy(global_settings)
context["git_provider"] = {}
# Handle the webhook in background
background_tasks.add_task(handle_request, body, event=request.headers.get("X-Gitea-Event", None))
return {}
async def get_body(request: Request):
"""Parse and verify webhook request body"""
try:
body = await request.json()
except Exception as e:
get_logger().error("Error parsing request body", artifact={'error': e})
raise HTTPException(status_code=400, detail="Error parsing request body") from e
# Verify webhook signature
webhook_secret = getattr(get_settings().gitea, 'webhook_secret', None)
if webhook_secret:
body_bytes = await request.body()
signature_header = request.headers.get('x-gitea-signature', None)
if not signature_header:
get_logger().error("Missing signature header")
raise HTTPException(status_code=400, detail="Missing signature header")
try:
verify_signature(body_bytes, webhook_secret, f"sha256={signature_header}")
except Exception as ex:
get_logger().error(f"Invalid signature: {ex}")
raise HTTPException(status_code=401, detail="Invalid signature")
return body
async def handle_request(body: Dict[str, Any], event: str):
"""Process Gitea webhook events"""
action = body.get("action")
if not action:
get_logger().debug("No action found in request body")
return {}
agent = PRAgent()
# Handle different event types
if event == "pull_request":
if action in ["opened", "reopened", "synchronized"]:
await handle_pr_event(body, event, action, agent)
elif event == "issue_comment":
if action == "created":
await handle_comment_event(body, event, action, agent)
return {}
async def handle_pr_event(body: Dict[str, Any], event: str, action: str, agent: PRAgent):
"""Handle pull request events"""
pr = body.get("pull_request", {})
if not pr:
return
api_url = pr.get("url")
if not api_url:
return
# Handle PR based on action
if action in ["opened", "reopened"]:
commands = get_settings().get("gitea.pr_commands", [])
for command in commands:
await agent.handle_request(api_url, command)
elif action == "synchronized":
# Handle push to PR
await agent.handle_request(api_url, "/review --incremental")
async def handle_comment_event(body: Dict[str, Any], event: str, action: str, agent: PRAgent):
"""Handle comment events"""
comment = body.get("comment", {})
if not comment:
return
comment_body = comment.get("body", "")
if not comment_body or not comment_body.startswith("/"):
return
pr_url = body.get("pull_request", {}).get("url")
if not pr_url:
return
await agent.handle_request(pr_url, comment_body)
# FastAPI app setup
middleware = [Middleware(RawContextMiddleware)]
app = FastAPI(middleware=middleware)
app.include_router(router)
def start():
"""Start the Gitea webhook server"""
port = int(os.environ.get("PORT", "3000"))
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=port)
if __name__ == "__main__":
start()

View File

@ -68,11 +68,6 @@ webhook_secret = "<WEBHOOK SECRET>" # Optional, may be commented out.
personal_access_token = "" personal_access_token = ""
shared_secret = "" # webhook secret shared_secret = "" # webhook secret
[gitea]
# Gitea personal access token
personal_access_token=""
webhook_secret="" # webhook secret
[bitbucket] [bitbucket]
# For Bitbucket authentication # For Bitbucket authentication
auth_type = "bearer" # "bearer" or "basic" auth_type = "bearer" # "bearer" or "basic"
@ -117,8 +112,3 @@ api_base = "" # Your Azure OpenAI service base URL (e.g., https://openai.xyz.co
[openrouter] [openrouter]
key = "" key = ""
api_base = "" api_base = ""
[aws]
AWS_ACCESS_KEY_ID = ""
AWS_SECRET_ACCESS_KEY = ""
AWS_REGION_NAME = ""

View File

@ -64,7 +64,6 @@ reasoning_effort = "medium" # "low", "medium", "high"
enable_auto_approval=false # Set to true to enable auto-approval of PRs under certain conditions enable_auto_approval=false # Set to true to enable auto-approval of PRs under certain conditions
auto_approve_for_low_review_effort=-1 # -1 to disable, [1-5] to set the threshold for auto-approval auto_approve_for_low_review_effort=-1 # -1 to disable, [1-5] to set the threshold for auto-approval
auto_approve_for_no_suggestions=false # If true, the PR will be auto-approved if there are no suggestions auto_approve_for_no_suggestions=false # If true, the PR will be auto-approved if there are no suggestions
ensure_ticket_compliance=false # Set to true to disable auto-approval of PRs if the ticket is not compliant
# extended thinking for Claude reasoning models # extended thinking for Claude reasoning models
enable_claude_extended_thinking = false # Set to true to enable extended thinking feature enable_claude_extended_thinking = false # Set to true to enable extended thinking feature
extended_thinking_budget_tokens = 2048 extended_thinking_budget_tokens = 2048
@ -82,7 +81,6 @@ require_ticket_analysis_review=true
# general options # general options
persistent_comment=true persistent_comment=true
extra_instructions = "" extra_instructions = ""
num_max_findings = 3
final_update_message = true final_update_message = true
# review labels # review labels
enable_review_labels_security=true enable_review_labels_security=true
@ -104,7 +102,6 @@ enable_pr_type=true
final_update_message = true final_update_message = true
enable_help_text=false enable_help_text=false
enable_help_comment=true enable_help_comment=true
enable_pr_diagram=false # adds a section with a diagram of the PR changes
# describe as comment # describe as comment
publish_description_as_comment=false publish_description_as_comment=false
publish_description_as_comment_persistent=true publish_description_as_comment_persistent=true
@ -281,15 +278,6 @@ push_commands = [
"/review", "/review",
] ]
[gitea_app]
url = "https://gitea.com"
handle_push_trigger = false
pr_commands = [
"/describe",
"/review",
"/improve",
]
[bitbucket_app] [bitbucket_app]
pr_commands = [ pr_commands = [
"/describe --pr_description.final_update_message=false", "/describe --pr_description.final_update_message=false",

View File

@ -46,9 +46,6 @@ class PRDescription(BaseModel):
type: List[PRType] = Field(description="one or more types that describe the PR content. Return the label member value (e.g. 'Bug fix', not 'bug_fix')") type: List[PRType] = Field(description="one or more types that describe the PR content. Return the label member value (e.g. 'Bug fix', not 'bug_fix')")
description: str = Field(description="summarize the PR changes in up to four bullet points, each up to 8 words. For large PRs, add sub-bullets if needed. Order bullets by importance, with each bullet highlighting a key change group.") description: str = Field(description="summarize the PR changes in up to four bullet points, each up to 8 words. For large PRs, add sub-bullets if needed. Order bullets by importance, with each bullet highlighting a key change group.")
title: str = Field(description="a concise and descriptive title that captures the PR's main theme") title: str = Field(description="a concise and descriptive title that captures the PR's main theme")
{%- if enable_pr_diagram %}
changes_diagram: str = Field(description="a horizontal diagram that represents the main PR changes, in the format of a valid mermaid LR flowchart. The diagram should be concise and easy to read. Leave empty if no diagram is relevant. To create robust Mermaid diagrams, follow this two-step process: (1) Declare the nodes: nodeID["node description"]. (2) Then define the links: nodeID1 -- "link text" --> nodeID2 ")
{%- endif %}
{%- if enable_semantic_files_types %} {%- if enable_semantic_files_types %}
pr_files: List[FileDescription] = Field(max_items=20, description="a list of all the files that were changed in the PR, and summary of their changes. Each file must be analyzed regardless of change size.") pr_files: List[FileDescription] = Field(max_items=20, description="a list of all the files that were changed in the PR, and summary of their changes. Each file must be analyzed regardless of change size.")
{%- endif %} {%- endif %}
@ -65,13 +62,6 @@ description: |
... ...
title: | title: |
... ...
{%- if enable_pr_diagram %}
changes_diagram: |
```mermaid
flowchart LR
...
```
{%- endif %}
{%- if enable_semantic_files_types %} {%- if enable_semantic_files_types %}
pr_files: pr_files:
- filename: | - filename: |
@ -153,13 +143,6 @@ description: |
... ...
title: | title: |
... ...
{%- if enable_pr_diagram %}
changes_diagram: |
```mermaid
flowchart LR
...
```
{%- endif %}
{%- if enable_semantic_files_types %} {%- if enable_semantic_files_types %}
pr_files: pr_files:
- filename: | - filename: |

View File

@ -98,7 +98,7 @@ class Review(BaseModel):
{%- if question_str %} {%- if question_str %}
insights_from_user_answers: str = Field(description="shortly summarize the insights you gained from the user's answers to the questions") insights_from_user_answers: str = Field(description="shortly summarize the insights you gained from the user's answers to the questions")
{%- endif %} {%- endif %}
key_issues_to_review: List[KeyIssuesComponentLink] = Field("A short and diverse list (0-{{ num_max_findings }} issues) of high-priority bugs, problems or performance concerns introduced in the PR code, which the PR reviewer should further focus on and validate during the review process.") key_issues_to_review: List[KeyIssuesComponentLink] = Field("A short and diverse list (0-3 issues) of high-priority bugs, problems or performance concerns introduced in the PR code, which the PR reviewer should further focus on and validate during the review process.")
{%- if require_security_review %} {%- if require_security_review %}
security_concerns: str = Field(description="Does this PR code introduce possible vulnerabilities such as exposure of sensitive information (e.g., API keys, secrets, passwords), or security concerns like SQL injection, XSS, CSRF, and others ? Answer 'No' (without explaining why) if there are no possible issues. If there are security concerns or issues, start your answer with a short header, such as: 'Sensitive information exposure: ...', 'SQL injection: ...' etc. Explain your answer. Be specific and give examples if possible") security_concerns: str = Field(description="Does this PR code introduce possible vulnerabilities such as exposure of sensitive information (e.g., API keys, secrets, passwords), or security concerns like SQL injection, XSS, CSRF, and others ? Answer 'No' (without explaining why) if there are no possible issues. If there are security concerns or issues, start your answer with a short header, such as: 'Sensitive information exposure: ...', 'SQL injection: ...' etc. Explain your answer. Be specific and give examples if possible")
{%- endif %} {%- endif %}

View File

@ -72,8 +72,7 @@ class PRDescription:
"enable_semantic_files_types": get_settings().pr_description.enable_semantic_files_types, "enable_semantic_files_types": get_settings().pr_description.enable_semantic_files_types,
"related_tickets": "", "related_tickets": "",
"include_file_summary_changes": len(self.git_provider.get_diff_files()) <= self.COLLAPSIBLE_FILE_LIST_THRESHOLD, "include_file_summary_changes": len(self.git_provider.get_diff_files()) <= self.COLLAPSIBLE_FILE_LIST_THRESHOLD,
"duplicate_prompt_examples": get_settings().config.get("duplicate_prompt_examples", False), 'duplicate_prompt_examples': get_settings().config.get('duplicate_prompt_examples', False),
"enable_pr_diagram": get_settings().pr_description.get("enable_pr_diagram", False),
} }
self.user_description = self.git_provider.get_user_description() self.user_description = self.git_provider.get_user_description()
@ -200,7 +199,7 @@ class PRDescription:
async def _prepare_prediction(self, model: str) -> None: async def _prepare_prediction(self, model: str) -> None:
if get_settings().pr_description.use_description_markers and 'pr_agent:' not in self.user_description: if get_settings().pr_description.use_description_markers and 'pr_agent:' not in self.user_description:
get_logger().info("Markers were enabled, but user description does not contain markers. Skipping AI prediction") get_logger().info("Markers were enabled, but user description does not contain markers. skipping AI prediction")
return None return None
large_pr_handling = get_settings().pr_description.enable_large_pr_handling and "pr_description_only_files_prompts" in get_settings() large_pr_handling = get_settings().pr_description.enable_large_pr_handling and "pr_description_only_files_prompts" in get_settings()
@ -457,12 +456,6 @@ class PRDescription:
self.data['labels'] = self.data.pop('labels') self.data['labels'] = self.data.pop('labels')
if 'description' in self.data: if 'description' in self.data:
self.data['description'] = self.data.pop('description') self.data['description'] = self.data.pop('description')
if 'changes_diagram' in self.data:
changes_diagram = self.data.pop('changes_diagram').strip()
if changes_diagram.startswith('```'):
if not changes_diagram.endswith('```'): # fallback for missing closing
changes_diagram += '\n```'
self.data['changes_diagram'] = '\n'+ changes_diagram
if 'pr_files' in self.data: if 'pr_files' in self.data:
self.data['pr_files'] = self.data.pop('pr_files') self.data['pr_files'] = self.data.pop('pr_files')
@ -714,7 +707,7 @@ class PRDescription:
pr_body += """</tr></tbody></table>""" pr_body += """</tr></tbody></table>"""
except Exception as e: except Exception as e:
get_logger().error(f"Error processing PR files to markdown {self.pr_id}: {str(e)}") get_logger().error(f"Error processing pr files to markdown {self.pr_id}: {str(e)}")
pass pass
return pr_body, pr_comments return pr_body, pr_comments

View File

@ -81,7 +81,6 @@ class PRReviewer:
"language": self.main_language, "language": self.main_language,
"diff": "", # empty diff for initial calculation "diff": "", # empty diff for initial calculation
"num_pr_files": self.git_provider.get_num_of_files(), "num_pr_files": self.git_provider.get_num_of_files(),
"num_max_findings": get_settings().pr_reviewer.num_max_findings,
"require_score": get_settings().pr_reviewer.require_score_review, "require_score": get_settings().pr_reviewer.require_score_review,
"require_tests": get_settings().pr_reviewer.require_tests_review, "require_tests": get_settings().pr_reviewer.require_tests_review,
"require_estimate_effort_to_review": get_settings().pr_reviewer.require_estimate_effort_to_review, "require_estimate_effort_to_review": get_settings().pr_reviewer.require_estimate_effort_to_review,
@ -317,9 +316,7 @@ class PRReviewer:
get_logger().exception(f"Failed to remove previous review comment, error: {e}") get_logger().exception(f"Failed to remove previous review comment, error: {e}")
def _can_run_incremental_review(self) -> bool: def _can_run_incremental_review(self) -> bool:
""" """Checks if we can run incremental review according the various configurations and previous review"""
Checks if we can run incremental review according the various configurations and previous review.
"""
# checking if running is auto mode but there are no new commits # checking if running is auto mode but there are no new commits
if self.is_auto and not self.incremental.first_new_commit_sha: if self.is_auto and not self.incremental.first_new_commit_sha:
get_logger().info(f"Incremental review is enabled for {self.pr_url} but there are no new commits") get_logger().info(f"Incremental review is enabled for {self.pr_url} but there are no new commits")

View File

@ -44,7 +44,6 @@ include = [
[project.scripts] [project.scripts]
pr-agent = "pr_agent.cli:run" pr-agent = "pr_agent.cli:run"
gen-api-key = "pr_agent.scripts.qm_endpoint_auth.gen_api_key:run"
[tool.ruff] [tool.ruff]
line-length = 120 line-length = 120

View File

@ -1,5 +1,5 @@
aiohttp==3.9.5 aiohttp==3.9.5
anthropic>=0.52.0 anthropic>=0.48
#anthropic[vertex]==0.47.1 #anthropic[vertex]==0.47.1
atlassian-python-api==3.41.4 atlassian-python-api==3.41.4
azure-devops==7.1.0b3 azure-devops==7.1.0b3
@ -13,7 +13,7 @@ google-cloud-aiplatform==1.38.0
google-generativeai==0.8.3 google-generativeai==0.8.3
google-cloud-storage==2.10.0 google-cloud-storage==2.10.0
Jinja2==3.1.2 Jinja2==3.1.2
litellm==1.70.4 litellm==1.69.3
loguru==0.7.2 loguru==0.7.2
msrest==0.7.1 msrest==0.7.1
openai>=1.55.3 openai>=1.55.3
@ -31,7 +31,6 @@ gunicorn==22.0.0
pytest-cov==5.0.0 pytest-cov==5.0.0
pydantic==2.8.2 pydantic==2.8.2
html2text==2024.2.26 html2text==2024.2.26
giteapy==1.0.8
# Uncomment the following lines to enable the 'similar issue' tool # Uncomment the following lines to enable the 'similar issue' tool
# pinecone-client # pinecone-client
# pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main # pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main

View File

@ -1,90 +0,0 @@
import asyncio
import os
import time
from pr_agent.algo.ai_handlers.langchain_ai_handler import LangChainOpenAIHandler
from pr_agent.config_loader import get_settings
def check_settings():
print('Checking settings...')
settings = get_settings()
# Check OpenAI settings
if not hasattr(settings, 'openai'):
print('OpenAI settings not found')
return False
if not hasattr(settings.openai, 'key'):
print('OpenAI API key not found')
return False
print('OpenAI API key found')
return True
async def measure_performance(handler, num_requests=3):
print(f'\nRunning performance test with {num_requests} requests...')
start_time = time.time()
# Create multiple requests
tasks = [
handler.chat_completion(
model='gpt-3.5-turbo',
system='You are a helpful assistant',
user=f'Test message {i}',
temperature=0.2
) for i in range(num_requests)
]
# Execute requests concurrently
responses = await asyncio.gather(*tasks)
end_time = time.time()
total_time = end_time - start_time
avg_time = total_time / num_requests
print(f'Performance results:')
print(f'Total time: {total_time:.2f} seconds')
print(f'Average time per request: {avg_time:.2f} seconds')
print(f'Requests per second: {num_requests/total_time:.2f}')
return responses
async def test():
print('Starting test...')
# Check settings first
if not check_settings():
print('Please set up your environment variables or configuration file')
print('Required: OPENAI_API_KEY')
return
try:
handler = LangChainOpenAIHandler()
print('Handler created')
# Basic functionality test
response = await handler.chat_completion(
model='gpt-3.5-turbo',
system='You are a helpful assistant',
user='Hello',
temperature=0.2,
img_path='test.jpg'
)
print('Response:', response)
# Performance test
await measure_performance(handler)
except Exception as e:
print('Error:', str(e))
print('Error type:', type(e))
print('Error details:', e.__dict__ if hasattr(e, '__dict__') else 'No additional details')
if __name__ == '__main__':
print('Environment variables:')
print('OPENAI_API_KEY:', 'Set' if os.getenv('OPENAI_API_KEY') else 'Not set')
print('OPENAI_API_TYPE:', os.getenv('OPENAI_API_TYPE', 'Not set'))
print('OPENAI_API_BASE:', os.getenv('OPENAI_API_BASE', 'Not set'))
asyncio.run(test())

View File

@ -1,185 +0,0 @@
import os
import time
import requests
from datetime import datetime
from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger, setup_logger
from tests.e2e_tests.e2e_utils import (FILE_PATH,
IMPROVE_START_WITH_REGEX_PATTERN,
NEW_FILE_CONTENT, NUM_MINUTES,
PR_HEADER_START_WITH, REVIEW_START_WITH)
log_level = os.environ.get("LOG_LEVEL", "INFO")
setup_logger(log_level)
logger = get_logger()
def test_e2e_run_gitea_app():
repo_name = 'pr-agent-tests'
owner = 'codiumai'
base_branch = "main"
new_branch = f"gitea_app_e2e_test-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"
get_settings().config.git_provider = "gitea"
headers = None
pr_number = None
try:
gitea_url = get_settings().get("GITEA.URL", None)
gitea_token = get_settings().get("GITEA.TOKEN", None)
if not gitea_url:
logger.error("GITEA.URL is not set in the configuration")
logger.info("Please set GITEA.URL in .env file or environment variables")
assert False, "GITEA.URL is not set in the configuration"
if not gitea_token:
logger.error("GITEA.TOKEN is not set in the configuration")
logger.info("Please set GITEA.TOKEN in .env file or environment variables")
assert False, "GITEA.TOKEN is not set in the configuration"
headers = {
'Authorization': f'token {gitea_token}',
'Content-Type': 'application/json',
'Accept': 'application/json'
}
logger.info(f"Creating a new branch {new_branch} from {base_branch}")
response = requests.get(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/branches/{base_branch}",
headers=headers
)
response.raise_for_status()
base_branch_data = response.json()
base_commit_sha = base_branch_data['commit']['id']
branch_data = {
'ref': f"refs/heads/{new_branch}",
'sha': base_commit_sha
}
response = requests.post(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/git/refs",
headers=headers,
json=branch_data
)
response.raise_for_status()
logger.info(f"Updating file {FILE_PATH} in branch {new_branch}")
import base64
file_content_encoded = base64.b64encode(NEW_FILE_CONTENT.encode()).decode()
try:
response = requests.get(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/contents/{FILE_PATH}?ref={new_branch}",
headers=headers
)
response.raise_for_status()
existing_file = response.json()
file_sha = existing_file.get('sha')
file_data = {
'message': 'Update cli_pip.py',
'content': file_content_encoded,
'sha': file_sha,
'branch': new_branch
}
except:
file_data = {
'message': 'Add cli_pip.py',
'content': file_content_encoded,
'branch': new_branch
}
response = requests.put(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/contents/{FILE_PATH}",
headers=headers,
json=file_data
)
response.raise_for_status()
logger.info(f"Creating a pull request from {new_branch} to {base_branch}")
pr_data = {
'title': f'Test PR from {new_branch}',
'body': 'update cli_pip.py',
'head': new_branch,
'base': base_branch
}
response = requests.post(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/pulls",
headers=headers,
json=pr_data
)
response.raise_for_status()
pr = response.json()
pr_number = pr['number']
for i in range(NUM_MINUTES):
logger.info(f"Waiting for the PR to get all the tool results...")
time.sleep(60)
response = requests.get(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/issues/{pr_number}/comments",
headers=headers
)
response.raise_for_status()
comments = response.json()
if len(comments) >= 5:
valid_review = False
for comment in comments:
if comment['body'].startswith('## PR Reviewer Guide 🔍'):
valid_review = True
break
if valid_review:
break
else:
logger.error("REVIEW feedback is invalid")
raise Exception("REVIEW feedback is invalid")
else:
logger.info(f"Waiting for the PR to get all the tool results. {i + 1} minute(s) passed")
else:
assert False, f"After {NUM_MINUTES} minutes, the PR did not get all the tool results"
logger.info(f"Cleaning up: closing PR and deleting branch {new_branch}")
close_data = {'state': 'closed'}
response = requests.patch(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/pulls/{pr_number}",
headers=headers,
json=close_data
)
response.raise_for_status()
response = requests.delete(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/git/refs/heads/{new_branch}",
headers=headers
)
response.raise_for_status()
logger.info(f"Succeeded in running e2e test for Gitea app on the PR")
except Exception as e:
logger.error(f"Failed to run e2e test for Gitea app: {e}")
raise
finally:
try:
if headers is None or gitea_url is None:
return
if pr_number is not None:
requests.patch(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/pulls/{pr_number}",
headers=headers,
json={'state': 'closed'}
)
requests.delete(
f"{gitea_url}/api/v1/repos/{owner}/{repo_name}/git/refs/heads/{new_branch}",
headers=headers
)
except Exception as cleanup_error:
logger.error(f"Failed to clean up after test: {cleanup_error}")
if __name__ == '__main__':
test_e2e_run_gitea_app()

View File

@ -1,302 +1,13 @@
# Generated by CodiumAI
import pytest import pytest
from unittest.mock import patch, MagicMock
from pr_agent.algo.utils import clip_tokens from pr_agent.algo.utils import clip_tokens
from pr_agent.algo.token_handler import TokenEncoder
class TestClipTokens: class TestClipTokens:
"""Comprehensive test suite for the clip_tokens function.""" def test_clip(self):
def test_empty_input_text(self):
"""Test that empty input returns empty string."""
assert clip_tokens("", 10) == ""
assert clip_tokens(None, 10) is None
def test_text_under_token_limit(self):
"""Test that text under the token limit is returned unchanged."""
text = "Short text"
max_tokens = 100
result = clip_tokens(text, max_tokens)
assert result == text
def test_text_exactly_at_token_limit(self):
"""Test text that is exactly at the token limit."""
text = "This is exactly at the limit"
# Mock the token encoder to return exact limit
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 10 # Exactly 10 tokens
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, 10)
assert result == text
def test_text_over_token_limit_with_three_dots(self):
"""Test text over token limit with three dots addition."""
text = "This is a longer text that should be clipped when it exceeds the token limit"
max_tokens = 5
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 20 # 20 tokens
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens)
assert result.endswith("\n...(truncated)")
assert len(result) < len(text)
def test_text_over_token_limit_without_three_dots(self):
"""Test text over token limit without three dots addition."""
text = "This is a longer text that should be clipped"
max_tokens = 5
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 20 # 20 tokens
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens, add_three_dots=False)
assert not result.endswith("\n...(truncated)")
assert len(result) < len(text)
def test_negative_max_tokens(self):
"""Test that negative max_tokens returns empty string."""
text = "Some text"
result = clip_tokens(text, -1)
assert result == ""
result = clip_tokens(text, -100)
assert result == ""
def test_zero_max_tokens(self):
"""Test that zero max_tokens returns empty string."""
text = "Some text"
result = clip_tokens(text, 0)
assert result == ""
def test_delete_last_line_functionality(self):
"""Test the delete_last_line parameter functionality."""
text = "Line 1\nLine 2\nLine 3\nLine 4"
max_tokens = 5
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 20 # 20 tokens
mock_encoder.return_value = mock_tokenizer
# Without delete_last_line
result_normal = clip_tokens(text, max_tokens, delete_last_line=False)
# With delete_last_line
result_deleted = clip_tokens(text, max_tokens, delete_last_line=True)
# The result with delete_last_line should be shorter or equal
assert len(result_deleted) <= len(result_normal)
def test_pre_computed_num_input_tokens(self):
"""Test using pre-computed num_input_tokens parameter."""
text = "This is a test text"
max_tokens = 10
num_input_tokens = 15
# Should not call the encoder when num_input_tokens is provided
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_encoder.return_value = None # Should not be called
result = clip_tokens(text, max_tokens, num_input_tokens=num_input_tokens)
assert result.endswith("\n...(truncated)")
mock_encoder.assert_not_called()
def test_pre_computed_tokens_under_limit(self):
"""Test pre-computed tokens under the limit."""
text = "Short text"
max_tokens = 20
num_input_tokens = 5
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_encoder.return_value = None # Should not be called
result = clip_tokens(text, max_tokens, num_input_tokens=num_input_tokens)
assert result == text
mock_encoder.assert_not_called()
def test_special_characters_and_unicode(self):
"""Test text with special characters and Unicode content."""
text = "Special chars: @#$%^&*()_+ áéíóú 中문 🚀 emoji"
max_tokens = 5
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 20 # 20 tokens
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens)
assert isinstance(result, str)
assert len(result) < len(text)
def test_multiline_text_handling(self):
"""Test handling of multiline text."""
text = "Line 1\nLine 2\nLine 3\nLine 4\nLine 5"
max_tokens = 5
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 20 # 20 tokens
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens)
assert isinstance(result, str)
def test_very_long_text(self):
"""Test with very long text."""
text = "A" * 10000 # Very long text
max_tokens = 10
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 5000 # Many tokens
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens)
assert len(result) < len(text)
assert result.endswith("\n...(truncated)")
def test_encoder_exception_handling(self):
"""Test handling of encoder exceptions."""
text = "Test text"
max_tokens = 10
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_encoder.side_effect = Exception("Encoder error")
# Should return original text when encoder fails
result = clip_tokens(text, max_tokens)
assert result == text
def test_zero_division_scenario(self):
"""Test scenario that could lead to division by zero."""
text = "Test"
max_tokens = 10
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [] # Empty tokens (could cause division by zero)
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens)
# Should handle gracefully and return original text
assert result == text
def test_various_edge_cases(self):
"""Test various edge cases."""
# Single character
assert clip_tokens("A", 1000) == "A"
# Only whitespace
text = " \n \t "
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 10
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, 5)
assert isinstance(result, str)
# Text with only newlines
text = "\n\n\n\n"
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 10
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, 2, delete_last_line=True)
assert isinstance(result, str)
def test_parameter_combinations(self):
"""Test different parameter combinations."""
text = "Multi\nline\ntext\nfor\ntesting"
max_tokens = 5
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 20
mock_encoder.return_value = mock_tokenizer
# Test all combinations
combinations = [
(True, True), # add_three_dots=True, delete_last_line=True
(True, False), # add_three_dots=True, delete_last_line=False
(False, True), # add_three_dots=False, delete_last_line=True
(False, False), # add_three_dots=False, delete_last_line=False
]
for add_dots, delete_line in combinations:
result = clip_tokens(text, max_tokens,
add_three_dots=add_dots,
delete_last_line=delete_line)
assert isinstance(result, str)
if add_dots and len(result) > 0:
assert result.endswith("\n...(truncated)") or result == text
def test_num_output_chars_zero_scenario(self):
"""Test scenario where num_output_chars becomes zero or negative."""
text = "Short"
max_tokens = 1
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 1000 # Many tokens for short text
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens)
# When num_output_chars is 0 or negative, should return empty string
assert result == ""
def test_logging_on_exception(self):
"""Test that exceptions are properly logged."""
text = "Test text"
max_tokens = 10
# Patch the logger at the module level where it's imported
with patch('pr_agent.algo.utils.get_logger') as mock_logger:
mock_log_instance = MagicMock()
mock_logger.return_value = mock_log_instance
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_encoder.side_effect = Exception("Test exception")
result = clip_tokens(text, max_tokens)
# Should log the warning
mock_log_instance.warning.assert_called_once()
# Should return original text
assert result == text
def test_factor_safety_calculation(self):
"""Test that the 0.9 factor (10% reduction) works correctly."""
text = "Test text that should be reduced by 10 percent for safety"
max_tokens = 10
with patch.object(TokenEncoder, 'get_token_encoder') as mock_encoder:
mock_tokenizer = MagicMock()
mock_tokenizer.encode.return_value = [1] * 20 # 20 tokens
mock_encoder.return_value = mock_tokenizer
result = clip_tokens(text, max_tokens)
# The result should be shorter due to the 0.9 factor
# Characters per token = len(text) / 20
# Expected chars = int(0.9 * (len(text) / 20) * 10)
expected_chars = int(0.9 * (len(text) / 20) * 10)
# Result should be around expected_chars length (plus truncation text)
if result.endswith("\n...(truncated)"):
actual_content = result[:-len("\n...(truncated)")]
assert len(actual_content) <= expected_chars + 5 # Some tolerance
# Test the original basic functionality to ensure backward compatibility
def test_clip_original_functionality(self):
"""Test original functionality from the existing test."""
text = "line1\nline2\nline3\nline4\nline5\nline6" text = "line1\nline2\nline3\nline4\nline5\nline6"
max_tokens = 25 max_tokens = 25
result = clip_tokens(text, max_tokens) result = clip_tokens(text, max_tokens)

View File

@ -1,7 +1,4 @@
# Generated by CodiumAI # Generated by CodiumAI
import textwrap
from unittest.mock import Mock
from pr_agent.algo.utils import PRReviewHeader, convert_to_markdown_v2 from pr_agent.algo.utils import PRReviewHeader, convert_to_markdown_v2
from pr_agent.tools.pr_description import insert_br_after_x_chars from pr_agent.tools.pr_description import insert_br_after_x_chars
@ -52,173 +49,8 @@ class TestConvertToMarkdown:
'estimated_effort_to_review_[1-5]': '1, because the changes are minimal and straightforward, focusing on a single functionality addition.\n', 'estimated_effort_to_review_[1-5]': '1, because the changes are minimal and straightforward, focusing on a single functionality addition.\n',
'relevant_tests': 'No\n', 'possible_issues': 'No\n', 'security_concerns': 'No\n'}} 'relevant_tests': 'No\n', 'possible_issues': 'No\n', 'security_concerns': 'No\n'}}
expected_output = textwrap.dedent(f"""\
{PRReviewHeader.REGULAR.value} 🔍
Here are some key observations to aid the review process: expected_output = f'{PRReviewHeader.REGULAR.value} 🔍\n\nHere are some key observations to aid the review process:\n\n<table>\n<tr><td>⏱️&nbsp;<strong>Estimated effort to review</strong>: 1 🔵⚪⚪⚪⚪</td></tr>\n<tr><td>🧪&nbsp;<strong>No relevant tests</strong></td></tr>\n<tr><td>&nbsp;<strong>Possible issues</strong>: No\n</td></tr>\n<tr><td>🔒&nbsp;<strong>No security concerns identified</strong></td></tr>\n</table>'
<table>
<tr><td>⏱️&nbsp;<strong>Estimated effort to review</strong>: 1 🔵⚪⚪⚪⚪</td></tr>
<tr><td>🧪&nbsp;<strong>No relevant tests</strong></td></tr>
<tr><td>&nbsp;<strong>Possible issues</strong>: No
</td></tr>
<tr><td>🔒&nbsp;<strong>No security concerns identified</strong></td></tr>
</table>
""")
assert convert_to_markdown_v2(input_data).strip() == expected_output.strip()
def test_simple_dictionary_input_without_gfm_supported(self):
input_data = {'review': {
'estimated_effort_to_review_[1-5]': '1, because the changes are minimal and straightforward, focusing on a single functionality addition.\n',
'relevant_tests': 'No\n', 'possible_issues': 'No\n', 'security_concerns': 'No\n'}}
expected_output = textwrap.dedent("""\
## PR Reviewer Guide 🔍
Here are some key observations to aid the review process:
### ⏱️ Estimated effort to review: 1 🔵⚪⚪⚪⚪
### 🧪 No relevant tests
### Possible issues: No
### 🔒 No security concerns identified
""")
assert convert_to_markdown_v2(input_data, gfm_supported=False).strip() == expected_output.strip()
def test_key_issues_to_review(self):
input_data = {'review': {
'key_issues_to_review': [
{
'relevant_file' : 'src/utils.py',
'issue_header' : 'Code Smell',
'issue_content' : 'The function is too long and complex.',
'start_line': 30,
'end_line': 50,
}
]
}}
mock_git_provider = Mock()
reference_link = 'https://github.com/qodo/pr-agent/pull/1/files#diff-hashvalue-R174'
mock_git_provider.get_line_link.return_value = reference_link
expected_output = textwrap.dedent(f"""\
## PR Reviewer Guide 🔍
Here are some key observations to aid the review process:
<table>
<tr><td>⚡&nbsp;<strong>Recommended focus areas for review</strong><br><br>
<a href='{reference_link}'><strong>Code Smell</strong></a><br>The function is too long and complex.
</td></tr>
</table>
""")
assert convert_to_markdown_v2(input_data, git_provider=mock_git_provider).strip() == expected_output.strip()
mock_git_provider.get_line_link.assert_called_with('src/utils.py', 30, 50)
def test_ticket_compliance(self):
input_data = {'review': {
'ticket_compliance_check': [
{
'ticket_url': 'https://example.com/ticket/123',
'ticket_requirements': '- Requirement 1\n- Requirement 2\n',
'fully_compliant_requirements': '- Requirement 1\n- Requirement 2\n',
'not_compliant_requirements': '',
'requires_further_human_verification': '',
}
]
}}
expected_output = textwrap.dedent("""\
## PR Reviewer Guide 🔍
Here are some key observations to aid the review process:
<table>
<tr><td>
**🎫 Ticket compliance analysis ✅**
**[123](https://example.com/ticket/123) - Fully compliant**
Compliant requirements:
- Requirement 1
- Requirement 2
</td></tr>
</table>
""")
assert convert_to_markdown_v2(input_data).strip() == expected_output.strip()
def test_can_be_split(self):
input_data = {'review': {
'can_be_split': [
{
'relevant_files': [
'src/file1.py',
'src/file2.py'
],
'title': 'Refactoring',
},
{
'relevant_files': [
'src/file3.py'
],
'title': 'Bug Fix',
}
]
}
}
expected_output = textwrap.dedent("""\
## PR Reviewer Guide 🔍
Here are some key observations to aid the review process:
<table>
<tr><td>🔀 <strong>Multiple PR themes</strong><br><br>
<details><summary>
Sub-PR theme: <b>Refactoring</b></summary>
___
Relevant files:
- src/file1.py
- src/file2.py
___
</details>
<details><summary>
Sub-PR theme: <b>Bug Fix</b></summary>
___
Relevant files:
- src/file3.py
___
</details>
</td></tr>
</table>
""")
assert convert_to_markdown_v2(input_data).strip() == expected_output.strip() assert convert_to_markdown_v2(input_data).strip() == expected_output.strip()

View File

@ -1,21 +0,0 @@
from pr_agent.algo.utils import fix_json_escape_char
class TestFixJsonEscapeChar:
def test_valid_json(self):
"""Return unchanged when input JSON is already valid"""
text = '{"a": 1, "b": "ok"}'
expected_output = {"a": 1, "b": "ok"}
assert fix_json_escape_char(text) == expected_output
def test_single_control_char(self):
"""Remove a single ASCII control-character"""
text = '{"msg": "hel\x01lo"}'
expected_output = {"msg": "hel lo"}
assert fix_json_escape_char(text) == expected_output
def test_multiple_control_chars(self):
"""Remove multiple control-characters recursively"""
text = '{"x": "A\x02B\x03C"}'
expected_output = {"x": "A B C"}
assert fix_json_escape_char(text) == expected_output

View File

@ -1,67 +0,0 @@
import pytest
from pr_agent.algo.utils import get_max_tokens, MAX_TOKENS
import pr_agent.algo.utils as utils
class TestGetMaxTokens:
# Test if the file is in MAX_TOKENS
def test_model_max_tokens(self, monkeypatch):
fake_settings = type('', (), {
'config': type('', (), {
'custom_model_max_tokens': 0,
'max_model_tokens': 0
})()
})()
monkeypatch.setattr(utils, "get_settings", lambda: fake_settings)
model = "gpt-3.5-turbo"
expected = MAX_TOKENS[model]
assert get_max_tokens(model) == expected
# Test situations where the model is not registered and exists as a custom model
def test_model_has_custom(self, monkeypatch):
fake_settings = type('', (), {
'config': type('', (), {
'custom_model_max_tokens': 5000,
'max_model_tokens': 0 # 제한 없음
})()
})()
monkeypatch.setattr(utils, "get_settings", lambda: fake_settings)
model = "custom-model"
expected = 5000
assert get_max_tokens(model) == expected
def test_model_not_max_tokens_and_not_has_custom(self, monkeypatch):
fake_settings = type('', (), {
'config': type('', (), {
'custom_model_max_tokens': 0,
'max_model_tokens': 0
})()
})()
monkeypatch.setattr(utils, "get_settings", lambda: fake_settings)
model = "custom-model"
with pytest.raises(Exception):
get_max_tokens(model)
def test_model_max_tokens_with__limit(self, monkeypatch):
fake_settings = type('', (), {
'config': type('', (), {
'custom_model_max_tokens': 0,
'max_model_tokens': 10000
})()
})()
monkeypatch.setattr(utils, "get_settings", lambda: fake_settings)
model = "gpt-3.5-turbo" # this model setting is 160000
expected = 10000
assert get_max_tokens(model) == expected

View File

@ -1,126 +0,0 @@
# from unittest.mock import MagicMock, patch
#
# import pytest
#
# from pr_agent.algo.types import EDIT_TYPE
# from pr_agent.git_providers.gitea_provider import GiteaProvider
#
#
# class TestGiteaProvider:
# """Unit-tests for GiteaProvider following project style (explicit object construction, minimal patching)."""
#
# def _provider(self):
# """Create provider instance with patched settings and avoid real HTTP calls."""
# with patch('pr_agent.git_providers.gitea_provider.get_settings') as mock_get_settings, \
# patch('requests.get') as mock_get:
# settings = MagicMock()
# settings.get.side_effect = lambda k, d=None: {
# 'GITEA.URL': 'https://gitea.example.com',
# 'GITEA.PERSONAL_ACCESS_TOKEN': 'test-token'
# }.get(k, d)
# mock_get_settings.return_value = settings
# # Stub the PR fetch triggered during provider initialization
# pr_resp = MagicMock()
# pr_resp.json.return_value = {
# 'title': 'stub',
# 'body': 'stub',
# 'head': {'ref': 'main'},
# 'user': {'id': 1}
# }
# pr_resp.raise_for_status = MagicMock()
# mock_get.return_value = pr_resp
# return GiteaProvider('https://gitea.example.com/owner/repo/pulls/123')
#
# # ---------------- URL parsing ----------------
# def test_parse_pr_url_valid(self):
# owner, repo, pr_num = self._provider()._parse_pr_url('https://gitea.example.com/owner/repo/pulls/123')
# assert (owner, repo, pr_num) == ('owner', 'repo', '123')
#
# def test_parse_pr_url_invalid(self):
# with pytest.raises(ValueError):
# GiteaProvider._parse_pr_url('https://gitea.example.com/owner/repo')
#
# # ---------------- simple getters ----------------
# def test_get_files(self):
# provider = self._provider()
# mock_resp = MagicMock()
# mock_resp.json.return_value = [{'filename': 'a.txt'}, {'filename': 'b.txt'}]
# mock_resp.raise_for_status = MagicMock()
# with patch('requests.get', return_value=mock_resp) as mock_get:
# assert provider.get_files() == ['a.txt', 'b.txt']
# mock_get.assert_called_once()
#
# def test_get_diff_files(self):
# provider = self._provider()
# mock_resp = MagicMock()
# mock_resp.json.return_value = [
# {'filename': 'f1', 'previous_filename': 'old_f1', 'status': 'renamed', 'patch': ''},
# {'filename': 'f2', 'status': 'added', 'patch': ''},
# {'filename': 'f3', 'status': 'deleted', 'patch': ''},
# {'filename': 'f4', 'status': 'modified', 'patch': ''}
# ]
# mock_resp.raise_for_status = MagicMock()
# with patch('requests.get', return_value=mock_resp):
# res = provider.get_diff_files()
# assert [f.edit_type for f in res] == [EDIT_TYPE.RENAMED, EDIT_TYPE.ADDED, EDIT_TYPE.DELETED,
# EDIT_TYPE.MODIFIED]
#
# # ---------------- publishing methods ----------------
# def test_publish_description(self):
# provider = self._provider()
# mock_resp = MagicMock();
# mock_resp.raise_for_status = MagicMock()
# with patch('requests.patch', return_value=mock_resp) as mock_patch:
# provider.publish_description('t', 'b');
# mock_patch.assert_called_once()
#
# def test_publish_comment(self):
# provider = self._provider()
# mock_resp = MagicMock();
# mock_resp.raise_for_status = MagicMock()
# with patch('requests.post', return_value=mock_resp) as mock_post:
# provider.publish_comment('c');
# mock_post.assert_called_once()
#
# def test_publish_inline_comment(self):
# provider = self._provider()
# mock_resp = MagicMock();
# mock_resp.raise_for_status = MagicMock()
# with patch('requests.post', return_value=mock_resp) as mock_post:
# provider.publish_inline_comment('body', 'file', '10');
# mock_post.assert_called_once()
#
# # ---------------- labels & reactions ----------------
# def test_get_pr_labels(self):
# provider = self._provider()
# mock_resp = MagicMock();
# mock_resp.raise_for_status = MagicMock();
# mock_resp.json.return_value = [{'name': 'l1'}]
# with patch('requests.get', return_value=mock_resp):
# assert provider.get_pr_labels() == ['l1']
#
# def test_add_eyes_reaction(self):
# provider = self._provider()
# mock_resp = MagicMock();
# mock_resp.raise_for_status = MagicMock();
# mock_resp.json.return_value = {'id': 7}
# with patch('requests.post', return_value=mock_resp):
# assert provider.add_eyes_reaction(1) == 7
#
# # ---------------- commit messages & url helpers ----------------
# def test_get_commit_messages(self):
# provider = self._provider()
# mock_resp = MagicMock();
# mock_resp.raise_for_status = MagicMock()
# mock_resp.json.return_value = [
# {'commit': {'message': 'm1'}}, {'commit': {'message': 'm2'}}]
# with patch('requests.get', return_value=mock_resp):
# assert provider.get_commit_messages() == ['m1', 'm2']
#
# def test_git_url_helpers(self):
# provider = self._provider()
# issues_url = 'https://gitea.example.com/owner/repo/pulls/3'
# assert provider.get_git_repo_url(issues_url) == 'https://gitea.example.com/owner/repo.git'
# prefix, suffix = provider.get_canonical_url_parts('https://gitea.example.com/owner/repo.git', 'dev')
# assert prefix == 'https://gitea.example.com/owner/repo/src/branch/dev'
# assert suffix == ''

View File

@ -79,14 +79,13 @@ class TestSortFilesByMainLanguages:
files = [ files = [
type('', (object,), {'filename': 'file1.py'})(), type('', (object,), {'filename': 'file1.py'})(),
type('', (object,), {'filename': 'file2.java'})(), type('', (object,), {'filename': 'file2.java'})(),
type('', (object,), {'filename': 'file3.cpp'})(), type('', (object,), {'filename': 'file3.cpp'})()
type('', (object,), {'filename': 'file3.test'})()
] ]
expected_output = [ expected_output = [
{'language': 'Python', 'files': [files[0]]}, {'language': 'Python', 'files': [files[0]]},
{'language': 'Java', 'files': [files[1]]}, {'language': 'Java', 'files': [files[1]]},
{'language': 'C++', 'files': [files[2]]}, {'language': 'C++', 'files': [files[2]]},
{'language': 'Other', 'files': [files[3]]} {'language': 'Other', 'files': []}
] ]
assert sort_files_by_main_languages(languages, files) == expected_output assert sort_files_by_main_languages(languages, files) == expected_output

View File

@ -53,12 +53,12 @@ code_suggestions:
- relevant_file: | - relevant_file: |
src/index2.ts src/index2.ts
label: | label: |
enhancement enhancment
``` ```
We can further improve the code by using the `const` keyword instead of `var` in the `src/index.ts` file. We can further improve the code by using the `const` keyword instead of `var` in the `src/index.ts` file.
''' '''
expected_output = {'code_suggestions': [{'relevant_file': 'src/index.ts\n', 'label': 'best practice\n'}, {'relevant_file': 'src/index2.ts\n', 'label': 'enhancement'}]} expected_output = {'code_suggestions': [{'relevant_file': 'src/index.ts\n', 'label': 'best practice\n'}, {'relevant_file': 'src/index2.ts\n', 'label': 'enhancment'}]}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='label') == expected_output assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='label') == expected_output
@ -76,178 +76,10 @@ code_suggestions:
- relevant_file: | - relevant_file: |
src/index2.ts src/index2.ts
label: | label: |
enhancement enhancment
``` ```
We can further improve the code by using the `const` keyword instead of `var` in the `src/index.ts` file. We can further improve the code by using the `const` keyword instead of `var` in the `src/index.ts` file.
''' '''
expected_output = {'code_suggestions': [{'relevant_file': 'src/index.ts\n', 'label': 'best practice\n'}, {'relevant_file': 'src/index2.ts\n', 'label': 'enhancement'}]} expected_output = {'code_suggestions': [{'relevant_file': 'src/index.ts\n', 'label': 'best practice\n'}, {'relevant_file': 'src/index2.ts\n', 'label': 'enhancment'}]}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='label') == expected_output assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='label') == expected_output
def test_with_brackets_yaml_content(self):
review_text = '''\
{
code_suggestions:
- relevant_file: |
src/index.ts
label: |
best practice
- relevant_file: |
src/index2.ts
label: |
enhancement
}
'''
expected_output = {'code_suggestions': [{'relevant_file': 'src/index.ts\n', 'label': 'best practice\n'}, {'relevant_file': 'src/index2.ts\n', 'label': 'enhancement'}]}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='label') == expected_output
def test_tab_indent_yaml(self):
review_text = '''\
code_suggestions:
- relevant_file: |
src/index.ts
label: |
\tbest practice
- relevant_file: |
src/index2.ts
label: |
enhancement
'''
expected_output = {'code_suggestions': [{'relevant_file': 'src/index.ts\n', 'label': 'best practice\n'}, {'relevant_file': 'src/index2.ts\n', 'label': 'enhancement\n'}]}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='label') == expected_output
def test_leading_plus_mark_code(self):
review_text = '''\
code_suggestions:
- relevant_file: |
src/index.ts
label: |
best practice
existing_code: |
+ var router = createBrowserRouter([
improved_code: |
+ const router = createBrowserRouter([
'''
expected_output = {'code_suggestions': [{
'relevant_file': 'src/index.ts\n',
'label': 'best practice\n',
'existing_code': 'var router = createBrowserRouter([\n',
'improved_code': 'const router = createBrowserRouter([\n'
}]}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='improved_code') == expected_output
def test_inconsistent_indentation_in_block_scalar_yaml(self):
"""
This test case represents a situation where the AI outputs the opening '{' with 5 spaces
(resulting in an inferred indent level of 5), while the closing '}' is output with only 4 spaces.
This inconsistency makes it impossible for the YAML parser to automatically determine the correct
indent level, causing a parsing failure.
The root cause may be the LLM miscounting spaces or misunderstanding the active block scalar context
while generating YAML output.
"""
review_text = '''\
code_suggestions:
- relevant_file: |
tsconfig.json
existing_code: |
{
"key1": "value1",
"key2": {
"subkey": "value"
}
}
'''
expected_json = '''\
{
"key1": "value1",
"key2": {
"subkey": "value"
}
}
'''
expected_output = {
'code_suggestions': [{
'relevant_file': 'tsconfig.json\n',
'existing_code': expected_json
}]
}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='existing_code') == expected_output
def test_inconsistent_and_insufficient_indentation_in_block_scalar_yaml(self):
"""
This test case reproduces a YAML parsing failure where the block scalar content
generated by the AI includes inconsistent and insufficient indentation levels.
The root cause may be the LLM miscounting spaces or misunderstanding the active block scalar context
while generating YAML output.
"""
review_text = '''\
code_suggestions:
- relevant_file: |
tsconfig.json
existing_code: |
{
"key1": "value1",
"key2": {
"subkey": "value"
}
}
'''
expected_json = '''\
{
"key1": "value1",
"key2": {
"subkey": "value"
}
}
'''
expected_output = {
'code_suggestions': [{
'relevant_file': 'tsconfig.json\n',
'existing_code': expected_json
}]
}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='existing_code') == expected_output
def test_wrong_indentation_code_block_scalar(self):
review_text = '''\
code_suggestions:
- relevant_file: |
a.c
existing_code: |
int sum(int a, int b) {
return a + b;
}
int sub(int a, int b) {
return a - b;
}
'''
expected_code_block = '''\
int sum(int a, int b) {
return a + b;
}
int sub(int a, int b) {
return a - b;
}
'''
expected_output = {
"code_suggestions": [
{
"relevant_file": "a.c\n",
"existing_code": expected_code_block
}
]
}
assert try_fix_yaml(review_text, first_key='code_suggestions', last_key='existing_code') == expected_output