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Author SHA1 Message Date
Tal
621cfe5595 Update setup.py 2024-09-17 16:33:52 +03:00
156 changed files with 1893 additions and 3317 deletions

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@ -37,3 +37,5 @@ jobs:
name: Test dev docker
run: |
docker run --rm codiumai/pr-agent:test pytest -v tests/unittest

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@ -37,7 +37,7 @@ jobs:
- id: code_cov
name: Test dev docker
run: |
docker run --name test_container codiumai/pr-agent:test pytest tests/unittest --cov=pr_agent --cov-report term --cov-report xml:coverage.xml
docker run --name test_container codiumai/pr-agent:test pytest tests/unittest --cov=pr_agent --cov-report term --cov-report xml:coverage.xml
docker cp test_container:/app/coverage.xml coverage.xml
docker rm test_container
@ -51,4 +51,4 @@ jobs:
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4.0.1
with:
token: ${{ secrets.CODECOV_TOKEN }}
token: ${{ secrets.CODECOV_TOKEN }}

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@ -1,4 +1,4 @@
name: docs-ci
name: docs-ci
on:
push:
branches:
@ -20,14 +20,14 @@ jobs:
- uses: actions/setup-python@v5
with:
python-version: 3.x
- run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
- run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
- uses: actions/cache@v4
with:
key: mkdocs-material-${{ env.cache_id }}
path: .cache
restore-keys: |
mkdocs-material-
- run: pip install mkdocs-material
- run: pip install mkdocs-material
- run: pip install "mkdocs-material[imaging]"
- run: pip install mkdocs-glightbox
- run: mkdocs gh-deploy -f docs/mkdocs.yml --force

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@ -43,4 +43,4 @@ jobs:
- id: test3
name: E2E bitbucket app
run: |
docker run -e BITBUCKET.USERNAME=${{ secrets.BITBUCKET_USERNAME }} -e BITBUCKET.PASSWORD=${{ secrets.BITBUCKET_PASSWORD }} --rm codiumai/pr-agent:test pytest -v tests/e2e_tests/test_bitbucket_app.py
docker run -e BITBUCKET.USERNAME=${{ secrets.BITBUCKET_USERNAME }} -e BITBUCKET.PASSWORD=${{ secrets.BITBUCKET_PASSWORD }} --rm codiumai/pr-agent:test pytest -v tests/e2e_tests/test_bitbucket_app.py

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@ -1,4 +1,4 @@
# This workflow enables developers to call PR-Agents `/[actions]` in PR's comments and upon PR creation.
# This workflow enables developers to call PR-Agents `/[actions]` in PR's comments and upon PR creation.
# Learn more at https://www.codium.ai/pr-agent/
# This is v0.2 of this workflow file
@ -30,3 +30,6 @@ jobs:
GITHUB_ACTION_CONFIG.AUTO_DESCRIBE: true
GITHUB_ACTION_CONFIG.AUTO_REVIEW: true
GITHUB_ACTION_CONFIG.AUTO_IMPROVE: true

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@ -1,17 +0,0 @@
# disabled. We might run it manually if needed.
name: pre-commit
on:
workflow_dispatch:
# pull_request:
# push:
# branches: [main]
jobs:
pre-commit:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v5
# SEE https://github.com/pre-commit/action
- uses: pre-commit/action@v3.0.1

2
.gitignore vendored
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@ -8,4 +8,4 @@ dist/
*.egg-info/
build/
.DS_Store
docs/.cache/
docs/.cache/

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@ -1,3 +1,6 @@
[pr_reviewer]
enable_review_labels_effort = true
enable_auto_approval = true
[config]
model="claude-3-5-sonnet"

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@ -1,46 +0,0 @@
# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
default_language_version:
python: python3
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v5.0.0
hooks:
- id: check-added-large-files
- id: check-toml
- id: check-yaml
- id: end-of-file-fixer
- id: trailing-whitespace
# - repo: https://github.com/rhysd/actionlint
# rev: v1.7.3
# hooks:
# - id: actionlint
- repo: https://github.com/pycqa/isort
# rev must match what's in dev-requirements.txt
rev: 5.13.2
hooks:
- id: isort
# - repo: https://github.com/PyCQA/bandit
# rev: 1.7.10
# hooks:
# - id: bandit
# args: [
# "-c", "pyproject.toml",
# ]
# - repo: https://github.com/astral-sh/ruff-pre-commit
# rev: v0.7.1
# hooks:
# - id: ruff
# args:
# - --fix
# - id: ruff-format
# - repo: https://github.com/PyCQA/autoflake
# rev: v2.3.1
# hooks:
# - id: autoflake
# args:
# - --in-place
# - --remove-all-unused-imports
# - --remove-unused-variables

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@ -1,11 +1,10 @@
FROM python:3.12 as base
FROM python:3.10 as base
WORKDIR /app
ADD pyproject.toml .
ADD requirements.txt .
RUN pip install . && rm pyproject.toml requirements.txt
ENV PYTHONPATH=/app
ADD docs docs
ADD pr_agent pr_agent
ADD github_action/entrypoint.sh /
RUN chmod +x /entrypoint.sh

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@ -199,4 +199,4 @@
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
limitations under the License.

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@ -1,2 +1,2 @@
recursive-include pr_agent *.toml
recursive-exclude pr_agent *.secrets.toml
recursive-exclude pr_agent *.secrets.toml

135
README.md
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@ -10,24 +10,26 @@
</picture>
<br/>
Qode Merge PR-Agent aims to help efficiently review and handle pull requests, by providing AI feedback and suggestions
CodiumAI PR-Agent aims to help efficiently review and handle pull requests, by providing AI feedback and suggestions
</div>
[![GitHub license](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://github.com/Codium-ai/pr-agent/blob/main/LICENSE)
[![Static Badge](https://img.shields.io/badge/Chrome-Extension-violet)](https://chromewebstore.google.com/detail/pr-agent-chrome-extension/ephlnjeghhogofkifjloamocljapahnl)
[![Static Badge](https://img.shields.io/badge/Pro-App-blue)](https://github.com/apps/qodo-merge-pro/)
[![Static Badge](https://img.shields.io/badge/OpenSource-App-red)](https://github.com/apps/qodo-merge-pro-for-open-source/)
[![Static Badge](https://img.shields.io/badge/Code-Benchmark-blue)](https://pr-agent-docs.codium.ai/finetuning_benchmark/)
[![Discord](https://badgen.net/badge/icon/discord?icon=discord&label&color=purple)](https://discord.com/channels/1057273017547378788/1126104260430528613)
<a href="https://github.com/Codium-ai/pr-agent/commits/main">
<img alt="GitHub" src="https://img.shields.io/github/last-commit/Codium-ai/pr-agent/main?style=for-the-badge" height="20">
</a>
[![Twitter](https://img.shields.io/twitter/follow/codiumai)](https://twitter.com/codiumai)
[![Cheat Sheet](https://img.shields.io/badge/Cheat-Sheet-red)](https://www.codium.ai/images/pr_agent/cheat_sheet.pdf)
<a href="https://github.com/Codium-ai/pr-agent/commits/main">
<img alt="GitHub" src="https://img.shields.io/github/last-commit/Codium-ai/pr-agent/main?style=for-the-badge" height="20">
</a>
</div>
### [Documentation](https://pr-agent-docs.codium.ai/)
- See the [Installation Guide](https://qodo-merge-docs.qodo.ai/installation/) for instructions on installing Qode Merge PR-Agent on different platforms.
- See the [Installation Guide](https://pr-agent-docs.codium.ai/installation/) for instructions on installing PR-Agent on different platforms.
- See the [Usage Guide](https://qodo-merge-docs.qodo.ai/usage-guide/) for instructions on running Qode Merge PR-Agent tools via different interfaces, such as CLI, PR Comments, or by automatically triggering them when a new PR is opened.
- See the [Usage Guide](https://pr-agent-docs.codium.ai/usage-guide/) for instructions on running PR-Agent tools via different interfaces, such as CLI, PR Comments, or by automatically triggering them when a new PR is opened.
- See the [Tools Guide](https://qodo-merge-docs.qodo.ai/tools/) for a detailed description of the different tools, and the available configurations for each tool.
- See the [Tools Guide](https://pr-agent-docs.codium.ai/tools/) for a detailed description of the different tools, and the available configurations for each tool.
## Table of Contents
@ -38,43 +40,42 @@ Qode Merge PR-Agent aims to help efficiently review and handle pull requests, by
- [PR-Agent Pro 💎](https://pr-agent-docs.codium.ai/overview/pr_agent_pro/)
- [How it works](#how-it-works)
- [Why use PR-Agent?](#why-use-pr-agent)
## News and Updates
### December 2, 2024
### September 12, 2024
[Dynamic context](https://pr-agent-docs.codium.ai/core-abilities/dynamic_context/) is now the default option for context extension.
This feature enables PR-Agent to dynamically adjusting the relevant context for each code hunk, while avoiding overflowing the model with too much information.
Open-source repositories can now freely use Qodo Merge Pro, and enjoy easy one-click installation using a marketplace [app](https://github.com/apps/qodo-merge-pro-for-open-source).
### September 3, 2024
<kbd><img src="https://github.com/user-attachments/assets/b0838724-87b9-43b0-ab62-73739a3a855c" width="512"></kbd>
New version of PR-Agent, v0.24 was released. See the [release notes](https://github.com/Codium-ai/pr-agent/releases/tag/v0.24) for more information.
See [here](https://qodo-merge-docs.qodo.ai/installation/pr_agent_pro/) for more details about installing Qodo Merge Pro for private repositories.
### August 26, 2024
New version of [PR Agent Chrome Extension](https://chromewebstore.google.com/detail/pr-agent-chrome-extension/ephlnjeghhogofkifjloamocljapahnl) was released, with full support of context-aware **PR Chat**. This novel feature is free to use for any open-source repository. See more details in [here](https://pr-agent-docs.codium.ai/chrome-extension/#pr-chat).
<kbd><img src="https://www.codium.ai/images/pr_agent/pr_chat_1.png" width="768"></kbd>
<kbd><img src="https://www.codium.ai/images/pr_agent/pr_chat_2.png" width="768"></kbd>
### November 18, 2024
### August 11, 2024
Increased PR context size for improved results, and enabled [asymmetric context](https://github.com/Codium-ai/pr-agent/pull/1114/files#diff-9290a3ad9a86690b31f0450b77acd37ef1914b41fabc8a08682d4da433a77f90R69-R70)
A new mode was enabled by default for code suggestions - `--pr_code_suggestions.focus_only_on_problems=true`:
- This option reduces the number of code suggestions received
- The suggestions will focus more on identifying and fixing code problems, rather than style considerations like best practices, maintainability, or readability.
- The suggestions will be categorized into just two groups: "Possible Issues" and "General".
Still, if you prefer the previous mode, you can set `--pr_code_suggestions.focus_only_on_problems=false` in the [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/).
**Example results:**
Original mode
<kbd><img src="https://qodo.ai/images/pr_agent/code_suggestions_original_mode.png" width="512"></kbd>
Focused mode
<kbd><img src="https://qodo.ai/images/pr_agent/code_suggestions_focused_mode.png" width="512"></kbd>
### August 10, 2024
Added support for [Azure devops pipeline](https://pr-agent-docs.codium.ai/installation/azure/) - you can now easily run PR-Agent as an Azure devops pipeline, without needing to set up your own server.
### November 4, 2024
### August 5, 2024
Added support for [GitLab pipeline](https://pr-agent-docs.codium.ai/installation/gitlab/#run-as-a-gitlab-pipeline) - you can now run easily PR-Agent as a GitLab pipeline, without needing to set up your own server.
### July 28, 2024
(1) improved support for bitbucket server - [auto commands](https://github.com/Codium-ai/pr-agent/pull/1059) and [direct links](https://github.com/Codium-ai/pr-agent/pull/1061)
(2) custom models are now [supported](https://pr-agent-docs.codium.ai/usage-guide/changing_a_model/#custom-models)
Qodo Merge PR Agent will now leverage context from Jira or GitHub tickets to enhance the PR Feedback. Read more about this feature
[here](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/)
## Overview
@ -82,41 +83,40 @@ Qodo Merge PR Agent will now leverage context from Jira or GitHub tickets to enh
Supported commands per platform:
| | | GitHub | GitLab | Bitbucket | Azure DevOps |
| | | GitHub | Gitlab | Bitbucket | Azure DevOps |
|-------|---------------------------------------------------------------------------------------------------------|:--------------------:|:--------------------:|:--------------------:|:------------:|
| TOOLS | [Review](https://qodo-merge-docs.qodo.ai/tools/review/) | ✅ | ✅ | ✅ | ✅ |
| | [Describe](https://qodo-merge-docs.qodo.ai/tools/describe/) | ✅ | ✅ | ✅ | |
| | [Improve](https://qodo-merge-docs.qodo.ai/tools/improve/) | ✅ | ✅ | ✅ | |
| | [Ask](https://qodo-merge-docs.qodo.ai/tools/ask/) | ✅ | ✅ | ✅ | ✅ |
| TOOLS | Review | ✅ | ✅ | ✅ | ✅ |
| | ⮑ Incremental | ✅ | | | |
| | ⮑ [SOC2 Compliance](https://pr-agent-docs.codium.ai/tools/review/#soc2-ticket-compliance) 💎 | ✅ | ✅ | ✅ | |
| | Describe | ✅ | ✅ | ✅ | ✅ |
| | ⮑ [Inline File Summary](https://pr-agent-docs.codium.ai/tools/describe#inline-file-summary) 💎 | ✅ | | | |
| | Improve | ✅ | ✅ | ✅ | ✅ |
| | ⮑ Extended | ✅ | ✅ | ✅ | ✅ |
| | Ask | ✅ | ✅ | ✅ | ✅ |
| | ⮑ [Ask on code lines](https://pr-agent-docs.codium.ai/tools/ask#ask-lines) | ✅ | ✅ | | |
| | [Update CHANGELOG](https://qodo-merge-docs.qodo.ai/tools/update_changelog/) | ✅ | ✅ | ✅ | ✅ |
| | [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) 💎 | ✅ | ✅ | ✅ | |
| | [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) 💎 | ✅ | ✅ | | |
| | [CI Feedback](https://pr-agent-docs.codium.ai/tools/ci_feedback/) 💎 | ✅ | | | |
| | [PR Documentation](https://pr-agent-docs.codium.ai/tools/documentation/) 💎 | ✅ | ✅ | | |
| | [Custom Labels](https://pr-agent-docs.codium.ai/tools/custom_labels/) 💎 | ✅ | ✅ | | |
| | [Analyze](https://pr-agent-docs.codium.ai/tools/analyze/) 💎 | ✅ | ✅ | | |
| | [Similar Code](https://pr-agent-docs.codium.ai/tools/similar_code/) 💎 | ✅ | | | |
| | [Custom Prompt](https://pr-agent-docs.codium.ai/tools/custom_prompt/) 💎 | ✅ | ✅ | ✅ | |
| | [Test](https://pr-agent-docs.codium.ai/tools/test/) 💎 | ✅ | ✅ | | |
| | Reflect and Review | ✅ | ✅ | ✅ | ✅ |
| | Update CHANGELOG.md | ✅ | ✅ | ✅ | ✅ |
| | Find Similar Issue | ✅ | | | |
| | [Add PR Documentation](https://pr-agent-docs.codium.ai/tools/documentation/) 💎 | ✅ | ✅ | | |
| | [Custom Labels](https://pr-agent-docs.codium.ai/tools/custom_labels/) 💎 | ✅ | ✅ | | |
| | [Analyze](https://pr-agent-docs.codium.ai/tools/analyze/) 💎 | ✅ | ✅ | | |
| | [CI Feedback](https://pr-agent-docs.codium.ai/tools/ci_feedback/) 💎 | ✅ | | | |
| | [Similar Code](https://pr-agent-docs.codium.ai/tools/similar_code/) 💎 | ✅ | | | |
| | | | | | |
| 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) | ✅ | ✅ | ✅ | ✅ |
| | [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) | ✅ |✅| ✅ |✅|
| USAGE | CLI | ✅ | ✅ | ✅ | ✅ |
| | App / webhook | ✅ | ✅ | ✅ | ✅ |
| | Tagging bot | ✅ | | | |
| | Actions | ✅ |✅| ✅ |✅|
| | | | | | |
| CORE | [PR compression](https://qodo-merge-docs.qodo.ai/core-abilities/compression_strategy/) | ✅ | ✅ | ✅ | ✅ |
| CORE | PR compression | ✅ | ✅ | ✅ | ✅ |
| | Repo language prioritization | ✅ | ✅ | ✅ | ✅ |
| | Adaptive and token-aware file patch fitting | ✅ | ✅ | ✅ | ✅ |
| | [Multiple models support](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/) | ✅ | ✅ | ✅ | ✅ |
| | [Local and global metadata](https://qodo-merge-docs.qodo.ai/core-abilities/metadata/) | ✅ | ✅ | ✅ | |
| | [Dynamic context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/) | ✅ | ✅ | ✅ | ✅ |
| | [Self reflection](https://qodo-merge-docs.qodo.ai/core-abilities/self_reflection/) | ✅ | ✅ | ✅ | ✅ |
| | [Static code analysis](https://qodo-merge-docs.qodo.ai/core-abilities/static_code_analysis/) 💎 | ✅ | ✅ | ✅ | |
| | Multiple models support | ✅ | ✅ | ✅ | ✅ |
| | [Static code analysis](https://pr-agent-docs.codium.ai/core-abilities/#static-code-analysis) 💎 | ✅ | ✅ | ✅ | |
| | [Global and wiki configurations](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/) 💎 | ✅ | ✅ | ✅ | |
| | [PR interactive actions](https://www.codium.ai/images/pr_agent/pr-actions.mp4) 💎 | ✅ | ✅ | | |
| | [Impact Evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) 💎 | ✅ | ✅ | | |
- 💎 means this feature is available only in [PR-Agent Pro](https://www.codium.ai/pricing/)
[//]: # (- Support for additional git providers is described in [here]&#40;./docs/Full_environments.md&#41;)
@ -177,9 +177,14 @@ ___
</kbd>
</p>
</div>
<hr>
<h4><a href="https://github.com/Codium-ai/pr-agent/pull/530">/generate_labels</a></h4>
<div align="center">
<p float="center">
<kbd><img src="https://www.codium.ai/images/pr_agent/geneare_custom_labels_main_short.png" width="300"></kbd>
</p>
</div>
[//]: # (<h4><a href="https://github.com/Codium-ai/pr-agent/pull/78#issuecomment-1639739496">/reflect_and_review:</a></h4>)
@ -250,8 +255,8 @@ Note that when you set your own PR-Agent or use CodiumAI hosted PR-Agent, there
1. **Fully managed** - We take care of everything for you - hosting, models, regular updates, and more. Installation is as simple as signing up and adding the PR-Agent app to your GitHub\GitLab\BitBucket repo.
2. **Improved privacy** - No data will be stored or used to train models. PR-Agent Pro will employ zero data retention, and will use an OpenAI account with zero data retention.
3. **Improved support** - PR-Agent Pro users will receive priority support, and will be able to request new features and capabilities.
4. **Extra features** -In addition to the benefits listed above, PR-Agent Pro will emphasize more customization, and the usage of static code analysis, in addition to LLM logic, to improve results.
See [here](https://qodo-merge-docs.qodo.ai/overview/pr_agent_pro/) for a list of features available in PR-Agent Pro.
4. **Extra features** -In addition to the benefits listed above, PR-Agent Pro will emphasize more customization, and the usage of static code analysis, in addition to LLM logic, to improve results.
See [here](https://pr-agent-docs.codium.ai/#pr-agent-pro) for a list of features available in PR-Agent Pro.

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@ -88,7 +88,7 @@ Significant documentation updates (see [Installation Guide](https://github.com/C
- codiumai/pr-agent:0.7-gitlab_webhook
- codiumai/pr-agent:0.7-github_polling
- codiumai/pr-agent:0.7-github_action
### Added::Algo
- New tool /similar_issue - Currently on GitHub app and CLI: indexes the issues in the repo, find the most similar issues to the target issue.
- Describe markers: Empower the /describe tool with a templating capability (see more details in https://github.com/Codium-ai/pr-agent/pull/273).

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@ -3,7 +3,6 @@ FROM python:3.12.3 AS base
WORKDIR /app
ADD pyproject.toml .
ADD requirements.txt .
ADD docs docs
RUN pip install . && rm pyproject.toml requirements.txt
ENV PYTHONPATH=/app

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@ -1 +1 @@
# [Visit Our Docs Portal](https://qodo-merge-docs.qodo.ai/)
# [Visit Our Docs Portal](https://pr-agent-docs.codium.ai/)

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qodo-merge-docs.qodo.ai
pr-agent-docs.codium.ai

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We take your code's security and privacy seriously:
- The Chrome extension will not send your code to any external servers.
- For private repositories, we will first validate the user's identity and permissions. After authentication, we generate responses using the existing Qodo Merge Pro integration.
- For private repositories, we will first validate the user's identity and permissions. After authentication, we generate responses using the existing PR-Agent Pro integration.

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@ -4,22 +4,22 @@
The PR-Chat feature allows to freely chat with your PR code, within your GitHub environment.
It will seamlessly use the PR as context to your chat session, and provide AI-powered feedback.
To enable private chat, simply install the Qodo Merge Chrome extension. After installation, each PR's file-changed tab will include a chat box, where you may ask questions about your code.
To enable private chat, simply install the PR-Agent Chrome extension. After installation, each PR's file-changed tab will include a chat box, where you may ask questions about your code.
This chat session is **private**, and won't be visible to other users.
All open-source repositories are supported.
For private repositories, you will also need to install Qodo Merge Pro, After installation, make sure to open at least one new PR to fully register your organization. Once done, you can chat with both new and existing PRs across all installed repositories.
For private repositories, you will also need to install PR-Agent Pro, After installation, make sure to open at least one new PR to fully register your organization. Once done, you can chat with both new and existing PRs across all installed repositories.
#### Context-aware PR chat
Qodo Merge constructs a comprehensive context for each pull request, incorporating the PR description, commit messages, and code changes with extended dynamic context. This contextual information, along with additional PR-related data, forms the foundation for an AI-powered chat session. The agent then leverages this rich context to provide intelligent, tailored responses to user inquiries about the pull request.
PR-Agent constructs a comprehensive context for each pull request, incorporating the PR description, commit messages, and code changes with extended dynamic context. This contextual information, along with additional PR-related data, forms the foundation for an AI-powered chat session. The agent then leverages this rich context to provide intelligent, tailored responses to user inquiries about the pull request.
<img src="https://codium.ai/images/pr_agent/pr_chat_1.png" width="768">
<img src="https://codium.ai/images/pr_agent/pr_chat_2.png" width="768">
### Toolbar extension
With Qodo Merge Chrome extension, it's [easier than ever](https://www.youtube.com/watch?v=gT5tli7X4H4) to interactively configure and experiment with the different tools and configuration options.
With PR-Agent Chrome extension, it's [easier than ever](https://www.youtube.com/watch?v=gT5tli7X4H4) to interactively configure and experiment with the different tools and configuration options.
For private repositories, after you found the setup that works for you, you can also easily export it as a persistent configuration file, and use it for automatic commands.
@ -27,11 +27,11 @@ For private repositories, after you found the setup that works for you, you can
<img src="https://codium.ai/images/pr_agent/toolbar2.png" width="512">
### Qodo Merge filters
### PR-Agent filters
Qodo Merge filters is a sidepanel option. that allows you to filter different message in the conversation tab.
PR-Agent filters is a sidepanel option. that allows you to filter different message in the conversation tab.
For example, you can choose to present only message from Qodo Merge, or filter those messages, focusing only on user's comments.
For example, you can choose to present only message from PR-Agent, or filter those messages, focusing only on user's comments.
<img src="https://codium.ai/images/pr_agent/pr_agent_filters1.png" width="256">
@ -40,7 +40,7 @@ For example, you can choose to present only message from Qodo Merge, or filter t
### Enhanced code suggestions
Qodo Merge Chrome extension adds the following capabilities to code suggestions tool's comments:
PR-Agent Chrome extension adds the following capabilities to code suggestions tool's comments:
- Auto-expand the table when you are viewing a code block, to avoid clipping.
- Adding a "quote-and-reply" button, that enables to address and comment on a specific suggestion (for example, asking the author to fix the issue)

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@ -1,11 +1,11 @@
[Qodo Merge Chrome extension](https://chromewebstore.google.com/detail/pr-agent-chrome-extension/ephlnjeghhogofkifjloamocljapahnl) is a collection of tools that integrates seamlessly with your GitHub environment, aiming to enhance your Git usage experience, and providing AI-powered capabilities to your PRs.
[PR-Agent Chrome extension](https://chromewebstore.google.com/detail/pr-agent-chrome-extension/ephlnjeghhogofkifjloamocljapahnl) is a collection of tools that integrates seamlessly with your GitHub environment, aiming to enhance your Git usage experience, and providing AI-powered capabilities to your PRs.
With a single-click installation you will gain access to a context-aware chat on your pull requests code, a toolbar extension with multiple AI feedbacks, Qodo Merge filters, and additional abilities.
With a single-click installation you will gain access to a context-aware chat on your pull requests code, a toolbar extension with multiple AI feedbacks, PR-Agent filters, and additional abilities.
The extension is powered by top code models like Claude 3.5 Sonnet and GPT4. All the extension's features are free to use on public repositories.
The extension is powered by top code models like Claude 3.5 Sonnet and GPT4. All the extension's features are free to use on public repositories.
For private repositories, you will need to install [Qodo Merge Pro](https://github.com/apps/qodo-merge-pro) in addition to the extension (Quick GitHub app setup with a 14-day free trial. No credit card needed).
For a demonstration of how to install Qodo Merge Pro and use it with the Chrome extension, please refer to the tutorial video at the provided [link](https://codium.ai/images/pr_agent/private_repos.mp4).
For private repositories, you will need to install [PR-Agent Pro](https://github.com/apps/codiumai-pr-agent-pro) in addition to the extension (Quick GitHub app setup with a 14-day free trial. No credit card needed).
For a demonstration of how to install PR-Agent Pro and use it with the Chrome extension, please refer to the tutorial video at the provided [link](https://codium.ai/images/pr_agent/private_repos.mp4).
<img src="https://codium.ai/images/pr_agent/PR-AgentChat.gif" width="768">

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@ -1,2 +1,2 @@
## Overview
TBD
TBD

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@ -12,9 +12,9 @@ We prioritize the languages of the repo based on the following criteria:
1. Exclude binary files and non code files (e.g. images, pdfs, etc)
2. Given the main languages used in the repo
3. We sort the PR files by the most common languages in the repo (in descending order):
3. We sort the PR files by the most common languages in the repo (in descending order):
* ```[[file.py, file2.py],[file3.js, file4.jsx],[readme.md]]```
### Small PR
In this case, we can fit the entire PR in a single prompt:

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@ -1,7 +1,7 @@
## TL;DR
Qodo Merge uses an **asymmetric and dynamic context strategy** to improve AI analysis of code changes in pull requests.
It provides more context before changes than after, and dynamically adjusts the context based on code structure (e.g., enclosing functions or classes).
PR-Agent uses an **asymmetric and dynamic context strategy** to improve AI analysis of code changes in pull requests.
It provides more context before changes than after, and dynamically adjusts the context based on code structure (e.g., enclosing functions or classes).
This approach balances providing sufficient context for accurate analysis, while avoiding needle-in-the-haystack information overload that could degrade AI performance or exceed token limits.
## Introduction
@ -17,12 +17,12 @@ Pull request code changes are retrieved in a unified diff format, showing three
code line that already existed in the file...
code line that already existed in the file...
code line that already existed in the file...
@@ -26,2 +26,4 @@ def func2():
...
```
This unified diff format can be challenging for AI models to interpret accurately, as it provides limited context for understanding the full scope of code changes.
This unified diff format can be challenging for AI models to interpret accurately, as it provides limited context for understanding the full scope of code changes.
The presentation of code using '+', '-', and ' ' symbols to indicate additions, deletions, and unchanged lines respectively also differs from the standard code formatting typically used to train AI models.
@ -37,28 +37,28 @@ Pros:
Cons:
- Excessive context may overwhelm the model with extraneous information, creating a "needle in a haystack" scenario where focusing on the relevant details (the code that actually changed) becomes challenging.
LLM quality is known to degrade when the context gets larger.
LLM quality is known to degrade when the context gets larger.
Pull requests often encompass multiple changes across many files, potentially spanning hundreds of lines of modified code. This complexity presents a genuine risk of overwhelming the model with excessive context.
- Increased context expands the token count, increasing processing time and cost, and may prevent the model from processing the entire pull request in a single pass.
## Asymmetric and dynamic context
To address these challenges, Qodo Merge employs an **asymmetric** and **dynamic** context strategy, providing the model with more focused and relevant context information for each code change.
To address these challenges, PR-Agent employs an **asymmetric** and **dynamic** context strategy, providing the model with more focused and relevant context information for each code change.
**Asymmetric:**
We start by recognizing that the context preceding a code change is typically more crucial for understanding the modification than the context following it.
Consequently, Qodo Merge implements an asymmetric context policy, decoupling the context window into two distinct segments: one for the code before the change and another for the code after.
We start by recognizing that the context preceding a code change is typically more crucial for understanding the modification than the context following it.
Consequently, PR-Agent implements an asymmetric context policy, decoupling the context window into two distinct segments: one for the code before the change and another for the code after.
By independently adjusting each context window, Qodo Merge can supply the model with a more tailored and pertinent context for individual code changes.
By independently adjusting each context window, PR-Agent can supply the model with a more tailored and pertinent context for individual code changes.
**Dynamic:**
We also employ a "dynamic" context strategy.
We start by recognizing that the optimal context for a code change often corresponds to its enclosing code component (e.g., function, class), rather than a fixed number of lines.
We start by recognizing that the optimal context for a code change often corresponds to its enclosing code component (e.g., function, class), rather than a fixed number of lines.
Consequently, we dynamically adjust the context window based on the code's structure, ensuring the model receives the most pertinent information for each modification.
To prevent overwhelming the model with excessive context, we impose a limit on the number of lines searched when identifying the enclosing component.
To prevent overwhelming the model with excessive context, we impose a limit on the number of lines searched when identifying the enclosing component.
This balance allows for comprehensive understanding while maintaining efficiency and limiting context token usage.
## Appendix - relevant configuration options
@ -69,4 +69,4 @@ allow_dynamic_context=true # Allow dynamic context extension
max_extra_lines_before_dynamic_context = 8 # will try to include up to X extra lines before the hunk in the patch, until we reach an enclosing function or class
patch_extra_lines_before = 3 # Number of extra lines (+3 default ones) to include before each hunk in the patch
patch_extra_lines_after = 1 # Number of extra lines (+3 default ones) to include after each hunk in the patch
```
```

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@ -1,134 +0,0 @@
# Fetching Ticket Context for PRs
`Supported Git Platforms : GitHub, GitLab, Bitbucket`
## Overview
Qodo Merge PR Agent streamlines code review workflows by seamlessly connecting with multiple ticket management systems.
This integration enriches the review process by automatically surfacing relevant ticket information and context alongside code changes.
## Ticket systems supported
- GitHub
- Jira (💎)
Ticket data fetched:
1. Ticket Title
2. Ticket Description
3. Custom Fields (Acceptance criteria)
4. Subtasks (linked tasks)
5. Labels
6. Attached Images/Screenshots
## Affected Tools
Ticket Recognition Requirements:
- The PR description should contain a link to the ticket or if the branch name starts with the ticket id / number.
- For Jira tickets, you should follow the instructions in [Jira Integration](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/#jira-integration) in order to authenticate with Jira.
### Describe tool
Qodo Merge PR Agent will recognize the ticket and use the ticket content (title, description, labels) to provide additional context for the code changes.
By understanding the reasoning and intent behind modifications, the LLM can offer more insightful and relevant code analysis.
### Review tool
Similarly to the `describe` tool, the `review` tool will use the ticket content to provide additional context for the code changes.
In addition, this feature will evaluate how well a Pull Request (PR) adheres to its original purpose/intent as defined by the associated ticket or issue mentioned in the PR description.
Each ticket will be assigned a label (Compliance/Alignment level), Indicates the degree to which the PR fulfills its original purpose, Options: Fully compliant, Partially compliant or Not compliant.
![Ticket Compliance](https://www.qodo.ai/images/pr_agent/ticket_compliance_review.png){width=768}
By default, the tool will automatically validate if the PR complies with the referenced ticket.
If you want to disable this feedback, add the following line to your configuration file:
```toml
[pr_reviewer]
require_ticket_analysis_review=false
```
## Providers
### Github Issues Integration
Qodo Merge PR Agent will automatically recognize Github issues mentioned in the PR description and fetch the issue content.
Examples of valid GitHub issue references:
- `https://github.com/<ORG_NAME>/<REPO_NAME>/issues/<ISSUE_NUMBER>`
- `#<ISSUE_NUMBER>`
- `<ORG_NAME>/<REPO_NAME>#<ISSUE_NUMBER>`
Since Qodo Merge PR Agent is integrated with GitHub, it doesn't require any additional configuration to fetch GitHub issues.
### Jira Integration 💎
We support both Jira Cloud and Jira Server/Data Center.
To integrate with Jira, you can link your PR to a ticket using either of these methods:
**Method 1: Description Reference:**
Include a ticket reference in your PR description using either the complete URL format https://<JIRA_ORG>.atlassian.net/browse/ISSUE-123 or the shortened ticket ID ISSUE-123.
**Method 2: Branch Name Detection:**
Name your branch with the ticket ID as a prefix (e.g., `ISSUE-123-feature-description` or `ISSUE-123/feature-description`).
!!! note "Jira Base URL"
For shortened ticket IDs or branch detection (method 2), you must configure the Jira base URL in your configuration file under the [jira] section:
```toml
[jira]
jira_base_url = "https://<JIRA_ORG>.atlassian.net"
```
#### Jira Cloud 💎
There are two ways to authenticate with Jira Cloud:
**1) Jira App Authentication**
The recommended way to authenticate with Jira Cloud is to install the Qodo Merge app in your Jira Cloud instance. This will allow Qodo Merge to access Jira data on your behalf.
Installation steps:
1. Click [here](https://auth.atlassian.com/authorize?audience=api.atlassian.com&client_id=8krKmA4gMD8mM8z24aRCgPCSepZNP1xf&scope=read%3Ajira-work%20offline_access&redirect_uri=https%3A%2F%2Fregister.jira.pr-agent.codium.ai&state=qodomerge&response_type=code&prompt=consent) to install the Qodo Merge app in your Jira Cloud instance, click the `accept` button.<br>
![Jira Cloud App Installation](https://www.qodo.ai/images/pr_agent/jira_app_installation1.png){width=384}
2. After installing the app, you will be redirected to the Qodo Merge registration page. and you will see a success message.<br>
![Jira Cloud App success message](https://www.qodo.ai/images/pr_agent/jira_app_success.png){width=384}
3. Now you can use the Jira integration in Qodo Merge PR Agent.
**2) Email/Token Authentication**
You can create an API token from your Atlassian account:
1. Log in to https://id.atlassian.com/manage-profile/security/api-tokens.
2. Click Create API token.
3. From the dialog that appears, enter a name for your new token and click Create.
4. Click Copy to clipboard.
![Jira Cloud API Token](https://images.ctfassets.net/zsv3d0ugroxu/1RYvh9lqgeZjjNe5S3Hbfb/155e846a1cb38f30bf17512b6dfd2229/screenshot_NewAPIToken){width=384}
5. In your [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) add the following lines:
```toml
[jira]
jira_api_token = "YOUR_API_TOKEN"
jira_api_email = "YOUR_EMAIL"
```
#### Jira Server/Data Center 💎
Currently, we only support the Personal Access Token (PAT) Authentication method.
1. Create a [Personal Access Token (PAT)](https://confluence.atlassian.com/enterprise/using-personal-access-tokens-1026032365.html) in your Jira account
2. In your Configuration file/Environment variables/Secrets file, add the following lines:
```toml
[jira]
jira_base_url = "YOUR_JIRA_BASE_URL" # e.g. https://jira.example.com
jira_api_token = "YOUR_API_TOKEN"
```

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@ -1,44 +1,44 @@
# Overview - Impact Evaluation 💎
Demonstrating the return on investment (ROI) of AI-powered initiatives is crucial for modern organizations.
To address this need, Qodo Merge has developed an AI impact measurement tools and metrics, providing advanced analytics to help businesses quantify the tangible benefits of AI adoption in their PR review process.
To address this need, PR-Agent has developed an AI impact measurement tools and metrics, providing advanced analytics to help businesses quantify the tangible benefits of AI adoption in their PR review process.
## Auto Impact Validator - Real-Time Tracking of Implemented Qodo Merge Suggestions
## Auto Impact Validator - Real-Time Tracking of Implemented PR-Agent Suggestions
### How It Works
When a user pushes a new commit to the pull request, Qodo Merge automatically compares the updated code against the previous suggestions, marking them as implemented if the changes address these recommendations, whether directly or indirectly:
When a user pushes a new commit to the pull request, PR-Agent automatically compares the updated code against the previous suggestions, marking them as implemented if the changes address these recommendations, whether directly or indirectly:
1. **Direct Implementation:** The user directly addresses the suggestion as-is in the PR, either by clicking on the "apply code suggestion" checkbox or by making the changes manually.
2. **Indirect Implementation:** Qodo Merge recognizes when a suggestion's intent is fulfilled, even if the exact code changes differ from the original recommendation. It marks these suggestions as implemented, acknowledging that users may achieve the same goal through alternative solutions.
2. **Indirect Implementation:** PR-Agent recognizes when a suggestion's intent is fulfilled, even if the exact code changes differ from the original recommendation. It marks these suggestions as implemented, acknowledging that users may achieve the same goal through alternative solutions.
### Real-Time Visual Feedback
Upon confirming that a suggestion was implemented, Qodo Merge automatically adds a ✅ (check mark) to the relevant suggestion, enabling transparent tracking of Qodo Merge's impact analysis.
Qodo Merge will also add, inside the relevant suggestions, an explanation of how the new code was impacted by each suggestion.
Upon confirming that a suggestion was implemented, PR-Agent automatically adds a ✅ (check mark) to the relevant suggestion, enabling transparent tracking of PR-Agent's impact analysis.
PR-Agent will also add, inside the relevant suggestions, an explanation of how the new code was impacted by each suggestion.
![Suggestion_checkmark](https://codium.ai/images/pr_agent/auto_suggestion_checkmark.png){width=512}
### Dashboard Metrics
The dashboard provides macro-level insights into the overall impact of Qodo Merge on the pull-request process with key productivity metrics.
The dashboard provides macro-level insights into the overall impact of PR-Agent on the pull-request process with key productivity metrics.
By offering clear, data-driven evidence of Qodo Merge's impact, it empowers leadership teams to make informed decisions about the tool's effectiveness and ROI.
By offering clear, data-driven evidence of PR-Agent's impact, it empowers leadership teams to make informed decisions about the tool's effectiveness and ROI.
Here are key metrics that the dashboard tracks:
#### Qodo Merge Impacts per 1K Lines
#### PR-Agent Impacts per 1K Lines
![Dashboard](https://codium.ai/images/pr_agent/impacts_per_1k_llines.png){width=512}
> Explanation: for every 1K lines of code (additions/edits), Qodo Merge had on average ~X suggestions implemented.
> Explanation: for every 1K lines of code (additions/edits), PR-Agent had on average ~X suggestions implemented.
**Why This Metric Matters:**
1. **Standardized and Comparable Measurement:** By measuring impacts per 1K lines of code additions, you create a standardized metric that can be compared across different projects, teams, customers, and time periods. This standardization is crucial for meaningful analysis, benchmarking, and identifying where Qodo Merge is most effective.
1. **Standardized and Comparable Measurement:** By measuring impacts per 1K lines of code additions, you create a standardized metric that can be compared across different projects, teams, customers, and time periods. This standardization is crucial for meaningful analysis, benchmarking, and identifying where PR-Agent is most effective.
2. **Accounts for PR Variability and Incentivizes Quality:** This metric addresses the fact that "Not all PRs are created equal." By normalizing against lines of code rather than PR count, you account for the variability in PR sizes and focus on the quality and impact of suggestions rather than just the number of PRs affected.
3. **Quantifies Value and ROI:** The metric directly correlates with the value Qodo Merge is providing, showing how frequently it offers improvements relative to the amount of new code being written. This provides a clear, quantifiable way to demonstrate Qodo Merge's return on investment to stakeholders.
3. **Quantifies Value and ROI:** The metric directly correlates with the value PR-Agent is providing, showing how frequently it offers improvements relative to the amount of new code being written. This provides a clear, quantifiable way to demonstrate PR-Agent's return on investment to stakeholders.
#### Suggestion Effectiveness Across Categories
![Impacted_Suggestion_Score](https://codium.ai/images/pr_agent/impact_by_category.png){width=512}
> Explanation: This chart illustrates the distribution of implemented suggestions across different categories, enabling teams to better understand Qodo Merge's impact on various aspects of code quality and development practices.
> Explanation: This chart illustrates the distribution of implemented suggestions across different categories, enabling teams to better understand PR-Agent's impact on various aspects of code quality and development practices.
#### Suggestion Score Distribution
![Impacted_Suggestion_Score](https://codium.ai/images/pr_agent/impacted_score_dist.png){width=512}
> Explanation: The distribution of the suggestion score for the implemented suggestions, ensuring that higher-scored suggestions truly represent more significant improvements.
> Explanation: The distribution of the suggestion score for the implemented suggestions, ensuring that higher-scored suggestions truly represent more significant improvements.

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@ -1,29 +1,12 @@
# Core Abilities
Qodo Merge utilizes a variety of core abilities to provide a comprehensive and efficient code review experience. These abilities include:
PR-Agent utilizes a variety of core abilities to provide a comprehensive and efficient code review experience. These abilities include:
- [Fetching ticket context](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/)
- [Local and global metadata](https://qodo-merge-docs.qodo.ai/core-abilities/metadata/)
- [Dynamic context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/)
- [Self-reflection](https://qodo-merge-docs.qodo.ai/core-abilities/self_reflection/)
- [Impact evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/)
- [Interactivity](https://qodo-merge-docs.qodo.ai/core-abilities/interactivity/)
- [Compression strategy](https://qodo-merge-docs.qodo.ai/core-abilities/compression_strategy/)
- [Code-oriented YAML](https://qodo-merge-docs.qodo.ai/core-abilities/code_oriented_yaml/)
- [Static code analysis](https://qodo-merge-docs.qodo.ai/core-abilities/static_code_analysis/)
- [Code fine-tuning benchmark](https://qodo-merge-docs.qodo.ai/finetuning_benchmark/)
## Blogs
Here are some additional technical blogs from Qodo, that delve deeper into the core capabilities and features of Large Language Models (LLMs) when applied to coding tasks.
These resources provide more comprehensive insights into leveraging LLMs for software development.
### Code Generation and LLMs
- [State-of-the-art Code Generation with AlphaCodium From Prompt Engineering to Flow Engineering](https://www.qodo.ai/blog/qodoflow-state-of-the-art-code-generation-for-code-contests/)
- [RAG for a Codebase with 10k Repos](https://www.qodo.ai/blog/rag-for-large-scale-code-repos/)
### Development Processes
- [Understanding the Challenges and Pain Points of the Pull Request Cycle](https://www.qodo.ai/blog/understanding-the-challenges-and-pain-points-of-the-pull-request-cycle/)
- [Introduction to Code Coverage Testing](https://www.qodo.ai/blog/introduction-to-code-coverage-testing/)
### Cost Optimization
- [Reduce Your Costs by 30% When Using GPT for Python Code](https://www.qodo.ai/blog/reduce-your-costs-by-30-when-using-gpt-3-for-python-code/)
- [Local and global metadata](https://pr-agent-docs.codium.ai/core-abilities/metadata/)
- [Dynamic context](https://pr-agent-docs.codium.ai/core-abilities/dynamic_context/)
- [Self-reflection](https://pr-agent-docs.codium.ai/core-abilities/self_reflection/)
- [Impact evaluation](https://pr-agent-docs.codium.ai/core-abilities/impact_evaluation/)
- [Interactivity](https://pr-agent-docs.codium.ai/core-abilities/interactivity/)
- [Compression strategy](https://pr-agent-docs.codium.ai/core-abilities/compression_strategy/)
- [Code-oriented YAML](https://pr-agent-docs.codium.ai/core-abilities/code_oriented_yaml/)
- [Static code analysis](https://pr-agent-docs.codium.ai/core-abilities/static_code_analysis/)
- [Code fine-tuning benchmark](https://pr-agent-docs.codium.ai/finetuning_benchmark/)

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@ -1,2 +1,2 @@
## Interactive invocation 💎
TBD
TBD

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@ -1,6 +1,6 @@
## Local and global metadata injection with multi-stage analysis
(1)
Qodo Merge initially retrieves for each PR the following data:
PR-Agent initially retrieves for each PR the following data:
- PR title and branch name
- PR original description
@ -9,10 +9,10 @@ Qodo Merge initially retrieves for each PR the following data:
- The entire content of the files that were modified in the PR
!!! tip "Tip: Organization-level metadata"
In addition to the inputs above, Qodo Merge can incorporate supplementary preferences provided by the user, like [`extra_instructions` and `organization best practices`](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices). This information can be used to enhance the PR analysis.
In addition to the inputs above, PR-Agent can incorporate supplementary preferences provided by the user, like [`extra_instructions` and `organization best practices`](https://pr-agent-docs.codium.ai/tools/improve/#extra-instructions-and-best-practices). This information can be used to enhance the PR analysis.
(2)
By default, the first command that Qodo Merge executes is [`describe`](https://qodo-merge-docs.qodo.ai/tools/describe/), which generates three types of outputs:
By default, the first command that PR-Agent executes is [`describe`](https://pr-agent-docs.codium.ai/tools/describe/), which generates three types of outputs:
- PR Type (e.g. bug fix, feature, refactor, etc)
- PR Description - a bullet point summary of the PR
@ -21,7 +21,7 @@ By default, the first command that Qodo Merge executes is [`describe`](https://q
These AI-generated outputs are now considered as part of the PR metadata, and can be used in subsequent commands like `review` and `improve`.
This effectively enables multi-stage chain-of-thought analysis, without doing any additional API calls which will cost time and money.
For example, when generating code suggestions for different files, Qodo Merge can inject the AI-generated ["Changes walkthrough"](https://github.com/Codium-ai/pr-agent/pull/1202#issue-2511546839) file summary in the prompt:
For example, when generating code suggestions for different files, PR-Agent can inject the AI-generated ["Changes walkthrough"](https://github.com/Codium-ai/pr-agent/pull/1202#issue-2511546839) file summary in the prompt:
```
## File: 'src/file1.py'
@ -49,8 +49,8 @@ __old hunk__
...
```
(3) The entire PR files that were retrieved are also used to expand and enhance the PR context (see [Dynamic Context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/)).
(3) The entire PR files that were retrieved are also used to expand and enhance the PR context (see [Dynamic Context](https://pr-agent-docs.codium.ai/core-abilities/dynamic-context/)).
(4) All the metadata described above represents several level of cumulative analysis - ranging from hunk level, to file level, to PR level, to organization level.
This comprehensive approach enables Qodo Merge AI models to generate more precise and contextually relevant suggestions and feedback.
This comprehensive approach enables PR-Agent AI models to generate more precise and contextually relevant suggestions and feedback.

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@ -1,7 +1,7 @@
## TL;DR
Qodo Merge implements a **self-reflection** process where the AI model reflects, scores, and re-ranks its own suggestions, eliminating irrelevant or incorrect ones.
This approach improves the quality and relevance of suggestions, saving users time and enhancing their experience.
PR-Agent implements a **self-reflection** process where the AI model reflects, scores, and re-ranks its own suggestions, eliminating irrelevant or incorrect ones.
This approach improves the quality and relevance of suggestions, saving users time and enhancing their experience.
Configuration options allow users to set a score threshold for further filtering out suggestions.
## Introduction - Efficient Review with Hierarchical Presentation
@ -9,7 +9,7 @@ Configuration options allow users to set a score threshold for further filtering
Given that not all generated code suggestions will be relevant, it is crucial to enable users to review them in a fast and efficient way, allowing quick identification and filtering of non-applicable ones.
To achieve this goal, Qodo Merge offers a dedicated hierarchical structure when presenting suggestions to users:
To achieve this goal, PR-Agent offers a dedicated hierarchical structure when presenting suggestions to users:
- A "category" section groups suggestions by their category, allowing users to quickly dismiss irrelevant suggestions.
- Each suggestion is first described by a one-line summary, which can be expanded to a full description by clicking on a collapsible.
@ -24,7 +24,7 @@ The AI model is initially tasked with generating suggestions, and outputting the
However, in practice we observe that models often struggle to simultaneously generate high-quality code suggestions and rank them well in a single pass.
Furthermore, the initial set of generated suggestions sometimes contains easily identifiable errors.
To address these issues, we implemented a "self-reflection" process that refines suggestion ranking and eliminates irrelevant or incorrect proposals.
To address these issues, we implemented a "self-reflection" process that refines suggestion ranking and eliminates irrelevant or incorrect proposals.
This process consists of the following steps:
1. Presenting the generated suggestions to the model in a follow-up call.
@ -34,7 +34,7 @@ This process consists of the following steps:
Note that presenting all generated suggestions simultaneously provides the model with a comprehensive context, enabling it to make more informed decisions compared to evaluating each suggestion individually.
To conclude, the self-reflection process enables Qodo Merge to prioritize suggestions based on their importance, eliminate inaccurate or irrelevant proposals, and optionally exclude suggestions that fall below a specified threshold of significance.
To conclude, the self-reflection process enables PR-Agent to prioritize suggestions based on their importance, eliminate inaccurate or irrelevant proposals, and optionally exclude suggestions that fall below a specified threshold of significance.
This results in a more refined and valuable set of suggestions for the user, saving time and improving the overall experience.
## Example Results
@ -46,5 +46,6 @@ This results in a more refined and valuable set of suggestions for the user, sav
## Appendix - Relevant Configuration Options
```
[pr_code_suggestions]
self_reflect_on_suggestions = true # Enable self-reflection on code suggestions
suggestions_score_threshold = 0 # Filter out suggestions with a score below this threshold (0-10)
```
```

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@ -1,6 +1,6 @@
## Overview - Static Code Analysis 💎
By combining static code analysis with LLM capabilities, Qodo Merge can provide a comprehensive analysis of the PR code changes on a component level.
By combining static code analysis with LLM capabilities, PR-Agent can provide a comprehensive analysis of the PR code changes on a component level.
It scans the PR code changes, finds all the code components (methods, functions, classes) that changed, and enables to interactively generate tests, docs, code suggestions and similar code search for each component.
@ -13,7 +13,7 @@ It scans the PR code changes, finds all the code components (methods, functions,
### Analyze PR
The [`analyze`](https://qodo-merge-docs.qodo.ai/tools/analyze/) tool enables to interactively generate tests, docs, code suggestions and similar code search for each component that changed in the PR.
The [`analyze`](https://pr-agent-docs.codium.ai/tools/analyze/) tool enables to interactively generate tests, docs, code suggestions and similar code search for each component that changed in the PR.
It can be invoked manually by commenting on any PR:
```
/analyze
@ -27,7 +27,7 @@ Clicking on each checkbox will trigger the relevant tool for the selected compon
### Generate Tests
The [`test`](https://qodo-merge-docs.qodo.ai/tools/test/) tool generate tests for a selected component, based on the PR code changes.
The [`test`](https://pr-agent-docs.codium.ai/tools/test/) tool generate tests for a selected component, based on the PR code changes.
It can be invoked manually by commenting on any PR:
```
/test component_name
@ -38,7 +38,7 @@ where 'component_name' is the name of a specific component in the PR, Or be tri
### Generate Docs for a Component
The [`add_docs`](https://qodo-merge-docs.qodo.ai/tools/documentation/) tool scans the PR code changes, and automatically generate docstrings for any code components that changed in the PR.
The [`add_docs`](https://pr-agent-docs.codium.ai/tools/documentation/) tool scans the PR code changes, and automatically generate docstrings for any code components that changed in the PR.
It can be invoked manually by commenting on any PR:
```
/add_docs component_name
@ -49,7 +49,7 @@ Or be triggered interactively by using the `analyze` tool.
![Docs single component](https://codium.ai/images/pr_agent/docs_single_component.png){width=768}
### Generate Code Suggestions for a Component
The [`improve_component`](https://qodo-merge-docs.qodo.ai/tools/improve_component/) tool generates code suggestions for a specific code component that changed in the PR.
The [`improve_component`](https://pr-agent-docs.codium.ai/tools/improve_component/) tool generates code suggestions for a specific code component that changed in the PR.
It can be invoked manually by commenting on any PR:
```
/improve_component component_name
@ -61,7 +61,7 @@ Or be triggered interactively by using the `analyze` tool.
### Find Similar Code
The [`similar code`](https://qodo-merge-docs.qodo.ai/tools/similar_code/) tool retrieves the most similar code components from inside the organization's codebase or from open-source code, including details about the license associated with each repository.
The [`similar code`](https://pr-agent-docs.codium.ai/tools/similar_code/) tool retrieves the most similar code components from inside the organization's codebase, or from open-source code.
For example:

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@ -1,14 +1,14 @@
# FAQ
??? note "Question: Can Qodo Merge serve as a substitute for a human reviewer?"
??? note "Question: Can PR-Agent serve as a substitute for a human reviewer?"
#### Answer:<span style="display:none;">1</span>
Qodo Merge is designed to assist, not replace, human reviewers.
PR-Agent is designed to assist, not replace, human reviewers.
Reviewing PRs is a tedious and time-consuming task often seen as a "chore". In addition, the longer the PR the shorter the relative feedback, since long PRs can overwhelm reviewers, both in terms of technical difficulty, and the actual review time.
Qodo Merge aims to address these pain points, and to assist and empower both the PR author and reviewer.
PR-Agent aims to address these pain points, and to assist and empower both the PR author and reviewer.
However, Qodo Merge has built-in safeguards to ensure the developer remains in the driver's seat. For example:
However, PR-Agent has built-in safeguards to ensure the developer remains in the driver's seat. For example:
1. Preserves user's original PR header
2. Places user's description above the AI-generated PR description
@ -31,37 +31,37 @@ ___
- The hierarchical structure of the suggestions is designed to help the user to _quickly_ understand them, and to decide which ones are relevant and which are not:
- Only if the `Category` header is relevant, the user should move to the summarized suggestion description.
- Only if the summarized suggestion description is relevant, the user should click on the collapsible, to read the full suggestion description with a code preview example.
- In addition, we recommend to use the [`extra_instructions`](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- The interactive [PR chat](https://qodo-merge-docs.qodo.ai/chrome-extension/) also provides an easy way to get more tailored suggestions and feedback from the AI model.
- In addition, we recommend to use the [`extra_instructions`](https://pr-agent-docs.codium.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- The interactive [PR chat](https://pr-agent-docs.codium.ai/chrome-extension/) also provides an easy way to get more tailored suggestions and feedback from the AI model.
___
??? note "Question: How can I get more tailored suggestions?"
#### Answer:<span style="display:none;">3</span>
See [here](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices) for more information on how to use the `extra_instructions` and `best_practices` configuration options, to guide the model to more tailored suggestions.
See [here](https://pr-agent-docs.codium.ai/tools/improve/#extra-instructions-and-best-practices) for more information on how to use the `extra_instructions` and `best_practices` configuration options, to guide the model to more tailored suggestions.
___
??? note "Question: Will you store my code ? Are you using my code to train models?"
#### Answer:<span style="display:none;">4</span>
No. Qodo Merge strict privacy policy ensures that your code is not stored or used for training purposes.
For a detailed overview of our data privacy policy, please refer to [this link](https://qodo-merge-docs.qodo.ai/overview/data_privacy/)
No. PR-Agent strict privacy policy ensures that your code is not stored or used for training purposes.
For a detailed overview of our data privacy policy, please refer to [this link](https://pr-agent-docs.codium.ai/overview/data_privacy/)
___
??? note "Question: Can I use my own LLM keys with Qodo Merge?"
??? note "Question: Can I use my own LLM keys with PR-Agent?"
#### Answer:<span style="display:none;">5</span>
When you self-host, you use your own keys.
When you self-host, you use your own keys.
Qodo Merge Pro with SaaS deployment is a hosted version of Qodo Merge, where Qodo manages the infrastructure and the keys.
PR-Agent Pro with SaaS deployment is a hosted version of PR-Agent, where Codium AI manages the infrastructure and the keys.
For enterprise customers, on-prem deployment is also available. [Contact us](https://www.codium.ai/contact/#pricing) for more information.
___
___

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@ -1,10 +1,10 @@
# Qodo Merge Code Fine-tuning Benchmark
# PR-Agent Code Fine-tuning Benchmark
On coding tasks, the gap between open-source models and top closed-source models such as GPT4 is significant.
<br>
In practice, open-source models are unsuitable for most real-world code tasks, and require further fine-tuning to produce acceptable results.
_Qodo Merge fine-tuning benchmark_ aims to benchmark open-source models on their ability to be fine-tuned for a coding task.
_PR-Agent fine-tuning benchmark_ aims to benchmark open-source models on their ability to be fine-tuned for a coding task.
Specifically, we chose to fine-tune open-source models on the task of analyzing a pull request, and providing useful feedback and code suggestions.
Here are the results:
@ -53,8 +53,8 @@ Here are the results:
### Training dataset
Our training dataset comprises 25,000 pull requests, aggregated from permissive license repos. For each pull request, we generated responses for the three main tools of Qodo Merge:
[Describe](https://qodo-merge-docs.qodo.ai/tools/describe/), [Review](https://qodo-merge-docs.qodo.ai/tools/improve/) and [Improve](https://qodo-merge-docs.qodo.ai/tools/improve/).
Our training dataset comprises 25,000 pull requests, aggregated from permissive license repos. For each pull request, we generated responses for the three main tools of PR-Agent:
[Describe](https://pr-agent-docs.codium.ai/tools/describe/), [Review](https://pr-agent-docs.codium.ai/tools/improve/) and [Improve](https://pr-agent-docs.codium.ai/tools/improve/).
On the raw data collected, we employed various automatic and manual cleaning techniques to ensure the outputs were of the highest quality, and suitable for instruct-tuning.
@ -84,10 +84,10 @@ command: improve
model1_score: 9,
model2_score: 6,
why: |
Response 1 is better because it provides more actionable and specific suggestions that directly
enhance the code's maintainability, performance, and best practices. For example, it suggests
using a variable for reusable widget instances and using named routes for navigation, which
are practical improvements. In contrast, Response 2 focuses more on general advice and less
actionable suggestions, such as changing variable names and adding comments, which are less
Response 1 is better because it provides more actionable and specific suggestions that directly
enhance the code's maintainability, performance, and best practices. For example, it suggests
using a variable for reusable widget instances and using named routes for navigation, which
are practical improvements. In contrast, Response 2 focuses more on general advice and less
actionable suggestions, such as changing variable names and adding comments, which are less
critical for immediate code improvement."
```

View File

@ -1,67 +1,48 @@
# Overview
Qodo Merge is an open-source tool to help efficiently review and handle pull requests.
CodiumAI PR-Agent is an open-source tool to help efficiently review and handle pull requests.
- See the [Installation Guide](./installation/index.md) for instructions on installing and running the tool on different git platforms.
- See the [Usage Guide](./usage-guide/index.md) for instructions on running the Qodo Merge commands via different interfaces, including _CLI_, _online usage_, or by _automatically triggering_ them when a new PR is opened.
- See the [Usage Guide](./usage-guide/index.md) for instructions on running the PR-Agent commands via different interfaces, including _CLI_, _online usage_, or by _automatically triggering_ them when a new PR is opened.
- See the [Tools Guide](./tools/index.md) for a detailed description of the different tools.
## Qodo Merge Docs Smart Search
## PR-Agent Features
PR-Agent offers extensive pull request functionalities across various git providers.
To search the documentation site using natural language:
| | | GitHub | Gitlab | Bitbucket | Azure DevOps |
|-------|-----------------------------------------------------------------------------------------------------------------------|:------:|:------:|:---------:|:------------:|
| TOOLS | Review | ✅ | ✅ | ✅ | ✅ |
| | ⮑ Incremental | ✅ | | | |
| | ⮑ [SOC2 Compliance](https://pr-agent-docs.codium.ai/tools/review/#soc2-ticket-compliance){:target="_blank"} 💎 | ✅ | ✅ | ✅ | |
| | Ask | ✅ | ✅ | ✅ | ✅ |
| | Describe | ✅ | ✅ | ✅ | ✅ |
| | ⮑ [Inline file summary](https://pr-agent-docs.codium.ai/tools/describe/#inline-file-summary){:target="_blank"} 💎 | ✅ | ✅ | | |
| | Improve | ✅ | ✅ | ✅ | ✅ |
| | ⮑ Extended | ✅ | ✅ | ✅ | ✅ |
| | [Custom Prompt](./tools/custom_prompt.md){:target="_blank"} 💎 | ✅ | ✅ | ✅ | |
| | Reflect and Review | ✅ | ✅ | ✅ | |
| | Update CHANGELOG.md | ✅ | ✅ | ✅ | |
| | Find Similar Issue | ✅ | | | |
| | [Add PR Documentation](./tools/documentation.md){:target="_blank"} 💎 | ✅ | ✅ | | |
| | [Generate Custom Labels](./tools/describe.md#handle-custom-labels-from-the-repos-labels-page-💎){:target="_blank"} 💎 | ✅ | ✅ | | |
| | [Analyze PR Components](./tools/analyze.md){:target="_blank"} 💎 | ✅ | ✅ | | |
| | | | | | |
| USAGE | CLI | ✅ | ✅ | ✅ | ✅ |
| | App / webhook | ✅ | ✅ | ✅ | ✅ |
| | Actions | ✅ | | | |
| | | | | |
| CORE | PR compression | ✅ | ✅ | ✅ | ✅ |
| | Repo language prioritization | ✅ | ✅ | ✅ | ✅ |
| | Adaptive and token-aware file patch fitting | ✅ | ✅ | ✅ | ✅ |
| | Multiple models support | ✅ | ✅ | ✅ | ✅ |
| | Incremental PR review | ✅ | | | |
| | [Static code analysis](./tools/analyze.md/){:target="_blank"} 💎 | ✅ | ✅ | ✅ | |
| | [Multiple configuration options](./usage-guide/configuration_options.md){:target="_blank"} 💎 | ✅ | ✅ | ✅ | |
1) Comment `/help "your question"` in either:
- A pull request where Qodo Merge is installed
- A [PR Chat](https://qodo-merge-docs.qodo.ai/chrome-extension/features/#pr-chat)
2) Qodo Merge will respond with an [answer](https://github.com/Codium-ai/pr-agent/pull/1241#issuecomment-2365259334) that includes relevant documentation links.
## Qodo Merge Features
Qodo Merge offers extensive pull request functionalities across various git providers.
| | | GitHub | GitLab | Bitbucket | Azure DevOps |
|-------|---------------------------------------------------------------------------------------------------------|:--------------------:|:--------------------:|:--------------------:|:------------:|
| TOOLS | [Review](https://qodo-merge-docs.qodo.ai/tools/review/) | ✅ | ✅ | ✅ | ✅ |
| | [Describe](https://qodo-merge-docs.qodo.ai/tools/describe/) | ✅ | ✅ | ✅ | ✅ |
| | [Improve](https://qodo-merge-docs.qodo.ai/tools/improve/) | ✅ | ✅ | ✅ | ✅ |
| | [Ask](https://qodo-merge-docs.qodo.ai/tools/ask/) | ✅ | ✅ | ✅ | ✅ |
| | ⮑ [Ask on code lines](https://pr-agent-docs.codium.ai/tools/ask#ask-lines) | ✅ | ✅ | | |
| | [Update CHANGELOG](https://qodo-merge-docs.qodo.ai/tools/update_changelog/) | ✅ | ✅ | ✅ | ✅ |
| | [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) 💎 | ✅ | ✅ | ✅ | |
| | [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) 💎 | ✅ | ✅ | | |
| | [CI Feedback](https://pr-agent-docs.codium.ai/tools/ci_feedback/) 💎 | ✅ | | | |
| | [PR Documentation](https://pr-agent-docs.codium.ai/tools/documentation/) 💎 | ✅ | ✅ | | |
| | [Custom Labels](https://pr-agent-docs.codium.ai/tools/custom_labels/) 💎 | ✅ | ✅ | | |
| | [Analyze](https://pr-agent-docs.codium.ai/tools/analyze/) 💎 | ✅ | ✅ | | |
| | [Similar Code](https://pr-agent-docs.codium.ai/tools/similar_code/) 💎 | ✅ | | | |
| | [Custom Prompt](https://pr-agent-docs.codium.ai/tools/custom_prompt/) 💎 | ✅ | ✅ | ✅ | |
| | [Test](https://pr-agent-docs.codium.ai/tools/test/) 💎 | ✅ | ✅ | | |
| | | | | | |
| 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) | ✅ | ✅ | ✅ | ✅ |
| | [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 | ✅ | ✅ | ✅ | ✅ |
| | [Multiple models support](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/) | ✅ | ✅ | ✅ | ✅ |
| | [Local and global metadata](https://qodo-merge-docs.qodo.ai/core-abilities/metadata/) | ✅ | ✅ | ✅ | ✅ |
| | [Dynamic context](https://qodo-merge-docs.qodo.ai/core-abilities/dynamic_context/) | ✅ | ✅ | ✅ | ✅ |
| | [Self reflection](https://qodo-merge-docs.qodo.ai/core-abilities/self_reflection/) | ✅ | ✅ | ✅ | ✅ |
| | [Static code analysis](https://qodo-merge-docs.qodo.ai/core-abilities/static_code_analysis/) 💎 | ✅ | ✅ | ✅ | |
| | [Global and wiki configurations](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/) 💎 | ✅ | ✅ | ✅ | |
| | [PR interactive actions](https://www.codium.ai/images/pr_agent/pr-actions.mp4) 💎 | ✅ | ✅ | | |
| | [Impact Evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) 💎 | ✅ | ✅ | | |
💎 marks a feature available only in [Qodo Merge Pro](https://www.qodo.ai/pricing/){:target="_blank"}
💎 marks a feature available only in [PR-Agent Pro](https://www.codium.ai/pricing/){:target="_blank"}
## Example Results
@ -93,8 +74,8 @@ Qodo Merge offers extensive pull request functionalities across various git prov
## How it Works
The following diagram illustrates Qodo Merge tools and their flow:
The following diagram illustrates PR-Agent tools and their flow:
![Qodo Merge Tools](https://codium.ai/images/pr_agent/diagram-v0.9.png)
![PR-Agent Tools](https://codium.ai/images/pr_agent/diagram-v0.9.png)
Check out the [core abilities](core-abilities/index.md) page for a comprehensive overview of the variety of core abilities used by Qodo Merge.
Check out the [core abilities](core-abilities/index.md) page for a comprehensive overview of the variety of core abilities used by PR-Agent.

View File

@ -1,5 +1,5 @@
## Azure DevOps Pipeline
You can use a pre-built Action Docker image to run Qodo Merge as an Azure devops pipeline.
You can use a pre-built Action Docker image to run PR-Agent as an Azure devops pipeline.
add the following file to your repository under `azure-pipelines.yml`:
```yaml
# Opt out of CI triggers
@ -40,23 +40,21 @@ stages:
export azure_devops__org="$ORG_URL"
export config__git_provider="azure"
pr-agent --pr_url="$PR_URL" describe
pr-agent --pr_url="$PR_URL" review
pr-agent --pr_url="$PR_URL" improve
env:
azure_devops__pat: $(azure_devops_pat)
openai__key: $(OPENAI_KEY)
displayName: 'Run Qodo Merge'
displayName: 'Run PR Agent'
```
This script will run Qodo Merge on every new merge request, with the `improve`, `review`, and `describe` commands.
This script will run PR-Agent on every new merge request, with the `improve`, `review`, and `describe` commands.
Note that you need to export the `azure_devops__pat` and `OPENAI_KEY` variables in the Azure DevOps pipeline settings (Pipelines -> Library -> + Variable group):
![Qodo Merge Pro](https://codium.ai/images/pr_agent/azure_devops_pipeline_secrets.png){width=468}
![PR Agent Pro](https://codium.ai/images/pr_agent/azure_devops_pipeline_secrets.png){width=468}
Make sure to give pipeline permissions to the `pr_agent` variable group.
> Note that Azure Pipelines lacks support for triggering workflows from PR comments. If you find a viable solution, please contribute it to our [issue tracker](https://github.com/Codium-ai/pr-agent/issues)
## Azure DevOps from CLI
@ -67,11 +65,11 @@ git_provider="azure"
```
Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
Using DefaultAzureCredential you can use managed identity or Service principle, which are more secure and will create separate ADO user identity (via AAD) to the agent.
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
or use managed identity/az cli (for local development) without any additional configuration.
in any case, 'org' value must be assigned in .secrets.toml:
```
@ -82,7 +80,7 @@ org = "https://dev.azure.com/YOUR_ORGANIZATION/"
### Azure DevOps Webhook
To trigger from an Azure webhook, you need to manually [add a webhook](https://learn.microsoft.com/en-us/azure/devops/service-hooks/services/webhooks?view=azure-devops).
To trigger from an Azure webhook, you need to manually [add a webhook](https://learn.microsoft.com/en-us/azure/devops/service-hooks/services/webhooks?view=azure-devops).
Use the "Pull request created" type to trigger a review, or "Pull request commented on" to trigger any supported comment with /<command> <args> comment on the relevant PR. Note that for the "Pull request commented on" trigger, only API v2.0 is supported.

View File

@ -1,9 +1,9 @@
## Run as a Bitbucket Pipeline
You can use the Bitbucket Pipeline system to run Qodo Merge on every pull request open or update.
You can use the Bitbucket Pipeline system to run PR-Agent on every pull request open or update.
1. Add the following file in your repository bitbucket-pipelines.yml
1. Add the following file in your repository bitbucket_pipelines.yml
```yaml
pipelines:
@ -29,7 +29,7 @@ Note that comments on a PR are not supported in Bitbucket Pipeline.
## Run using CodiumAI-hosted Bitbucket app 💎
Please contact visit [Qodo Merge Pro](https://www.codium.ai/pricing/) if you're interested in a hosted BitBucket app solution that provides full functionality including PR reviews and comment handling. It's based on the [bitbucket_app.py](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/git_providers/bitbucket_provider.py) implementation.
Please contact visit [PR-Agent pro](https://www.codium.ai/pricing/) if you're interested in a hosted BitBucket app solution that provides full functionality including PR reviews and comment handling. It's based on the [bitbucket_app.py](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/git_providers/bitbucket_provider.py) implementation.
## Bitbucket Server and Data Center
@ -58,7 +58,7 @@ python cli.py --pr_url https://git.onpreminstanceofbitbucket.com/projects/PROJEC
### Run it as service
To run Qodo Merge as webhook, build the docker image:
To run pr-agent as webhook, build the docker image:
```
docker build . -t codiumai/pr-agent:bitbucket_server_webhook --target bitbucket_server_webhook -f docker/Dockerfile
docker push codiumai/pr-agent:bitbucket_server_webhook # Push to your Docker repository

View File

@ -1,6 +1,6 @@
## Run as a GitHub Action
You can use our pre-built Github Action Docker image to run Qodo Merge as a Github Action.
You can use our pre-built Github Action Docker image to run PR-Agent as a Github Action.
1) Add the following file to your repository under `.github/workflows/pr_agent.yml`:
@ -27,6 +27,27 @@ jobs:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
```
if you want to pin your action to a specific release (v0.23 for example) for stability reasons, use:
```yaml
...
steps:
- name: PR Agent action step
id: pragent
uses: docker://codiumai/pr-agent:0.23-github_action
...
```
For enhanced security, you can also specify the Docker image by its [digest](https://hub.docker.com/repository/docker/codiumai/pr-agent/tags):
```yaml
...
steps:
- name: PR Agent action step
id: pragent
uses: docker://codiumai/pr-agent@sha256:14165e525678ace7d9b51cda8652c2d74abb4e1d76b57c4a6ccaeba84663cc64
...
```
2) Add the following secret to your repository under `Settings > Secrets and variables > Actions > New repository secret > Add secret`:
```
@ -39,7 +60,7 @@ The GITHUB_TOKEN secret is automatically created by GitHub.
3) Merge this change to your main branch.
When you open your next PR, you should see a comment from `github-actions` bot with a review of your PR, and instructions on how to use the rest of the tools.
4) You may configure Qodo Merge by adding environment variables under the env section corresponding to any configurable property in the [configuration](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml) file. Some examples:
4) You may configure PR-Agent by adding environment variables under the env section corresponding to any configurable property in the [configuration](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml) file. Some examples:
```yaml
env:
# ... previous environment values
@ -47,41 +68,7 @@ When you open your next PR, you should see a comment from `github-actions` bot w
PR_REVIEWER.REQUIRE_TESTS_REVIEW: "false" # Disable tests review
PR_CODE_SUGGESTIONS.NUM_CODE_SUGGESTIONS: 6 # Increase number of code suggestions
```
See detailed usage instructions in the [USAGE GUIDE](https://qodo-merge-docs.qodo.ai/usage-guide/automations_and_usage/#github-action)
### Using a specific release
!!! tip ""
if you want to pin your action to a specific release (v0.23 for example) for stability reasons, use:
```yaml
...
steps:
- name: PR Agent action step
id: pragent
uses: docker://codiumai/pr-agent:0.23-github_action
...
```
For enhanced security, you can also specify the Docker image by its [digest](https://hub.docker.com/repository/docker/codiumai/pr-agent/tags):
```yaml
...
steps:
- name: PR Agent action step
id: pragent
uses: docker://codiumai/pr-agent@sha256:14165e525678ace7d9b51cda8652c2d74abb4e1d76b57c4a6ccaeba84663cc64
...
```
### Action for GitHub enterprise server
!!! tip ""
To use the action with a GitHub enterprise server, add an environment variable `GITHUB.BASE_URL` with the API URL of your GitHub server.
For example, if your GitHub server is at `https://github.mycompany.com`, add the following to your workflow file:
```yaml
env:
# ... previous environment values
GITHUB.BASE_URL: "https://github.mycompany.com/api/v3"
```
See detailed usage instructions in the [USAGE GUIDE](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#github-action)
---
@ -118,7 +105,7 @@ git clone https://github.com/Codium-ai/pr-agent.git
```
5) Copy the secrets template file and fill in the following:
```
cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
# Edit .secrets.toml file
@ -147,7 +134,7 @@ cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
- mountPath: /app/pr_agent/settings_prod
name: settings-volume
```
> Another option is to set the secrets as environment variables in your deployment environment, for example `OPENAI.KEY` and `GITHUB.USER_TOKEN`.
6) Build a Docker image for the app and optionally push it to a Docker repository. We'll use Dockerhub as an example:
@ -168,7 +155,7 @@ cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
9. Install the app by navigating to the "Install App" tab and selecting your desired repositories.
> **Note:** When running Qodo Merge from GitHub app, the default configuration file (configuration.toml) will be loaded.
> **Note:** When running PR-Agent from GitHub App, the default configuration file (configuration.toml) will be loaded.
> However, you can override the default tool parameters by uploading a local configuration file `.pr_agent.toml`
> For more information please check out the [USAGE GUIDE](../usage-guide/automations_and_usage.md#github-app)
---
@ -198,7 +185,7 @@ For example: `GITHUB.WEBHOOK_SECRET` --> `GITHUB__WEBHOOK_SECRET`
## AWS CodeCommit Setup
Not all features have been added to CodeCommit yet. As of right now, CodeCommit has been implemented to run the Qodo Merge CLI on the command line, using AWS credentials stored in environment variables. (More features will be added in the future.) The following is a set of instructions to have Qodo Merge do a review of your CodeCommit pull request from the command line:
Not all features have been added to CodeCommit yet. As of right now, CodeCommit has been implemented to run the pr-agent CLI on the command line, using AWS credentials stored in environment variables. (More features will be added in the future.) The following is a set of instructions to have pr-agent do a review of your CodeCommit pull request from the command line:
1. Create an IAM user that you will use to read CodeCommit pull requests and post comments
* Note: That user should have CLI access only, not Console access

View File

@ -1,5 +1,5 @@
## Run as a GitLab Pipeline
You can use a pre-built Action Docker image to run Qodo Merge as a GitLab pipeline. This is a simple way to get started with Qodo Merge without setting up your own server.
You can use a pre-built Action Docker image to run PR-Agent as a GitLab pipeline. This is a simple way to get started with PR-Agent without setting up your own server.
(1) Add the following file to your repository under `.gitlab-ci.yml`:
```yaml
@ -8,7 +8,7 @@ stages:
pr_agent_job:
stage: pr_agent
image:
image:
name: codiumai/pr-agent:latest
entrypoint: [""]
script:
@ -16,8 +16,7 @@ pr_agent_job:
- echo "Running PR Agent action step"
- export MR_URL="$CI_MERGE_REQUEST_PROJECT_URL/merge_requests/$CI_MERGE_REQUEST_IID"
- echo "MR_URL=$MR_URL"
- export gitlab__url=$CI_SERVER_PROTOCOL://$CI_SERVER_FQDN
- export gitlab__PERSONAL_ACCESS_TOKEN=$GITLAB_PERSONAL_ACCESS_TOKEN
- export gitlab__PERSONAL_ACCESS_TOKEN=$GITLAB_PERSONAL_ACCESS_TOKEN
- export config__git_provider="gitlab"
- export openai__key=$OPENAI_KEY
- python -m pr_agent.cli --pr_url="$MR_URL" describe
@ -26,8 +25,8 @@ pr_agent_job:
rules:
- if: '$CI_PIPELINE_SOURCE == "merge_request_event"'
```
This script will run Qodo Merge on every new merge request. You can modify the `rules` section to run Qodo Merge on different events.
You can also modify the `script` section to run different Qodo Merge commands, or with different parameters by exporting different environment variables.
This script will run PR-Agent on every new merge request. You can modify the `rules` section to run PR-Agent on different events.
You can also modify the `script` section to run different PR-Agent commands, or with different parameters by exporting different environment variables.
(2) Add the following masked variables to your GitLab repository (CI/CD -> Variables):
@ -38,41 +37,25 @@ You can also modify the `script` section to run different Qodo Merge commands, o
Note that if your base branches are not protected, don't set the variables as `protected`, since the pipeline will not have access to them.
> **Note**: The `$CI_SERVER_FQDN` variable is available starting from GitLab version 16.10. If you're using an earlier version, this variable will not be available. However, you can combine `$CI_SERVER_HOST` and `$CI_SERVER_PORT` to achieve the same result. Please ensure you're using a compatible version or adjust your configuration.
## Run a GitLab webhook server
1. From the GitLab workspace or group, create an access token with "Reporter" role ("Developer" if using Pro version of the agent) and "api" scope.
1. From the GitLab workspace or group, create an access token. Enable the "api" scope only.
2. Generate a random secret for your app, and save it for later. For example, you can use:
```
WEBHOOK_SECRET=$(python -c "import secrets; print(secrets.token_hex(10))")
```
3. Follow the instructions to build the Docker image, setup a secrets file and deploy on your own server from [here](https://pr-agent-docs.codium.ai/installation/github/#run-as-a-github-app) steps 4-7.
3. Clone this repository:
4. In the secrets file, fill in the following:
- Your OpenAI key.
- In the [gitlab] section, fill in personal_access_token and shared_secret. The access token can be a personal access token, or a group or project access token.
- Set deployment_type to 'gitlab' in [configuration.toml](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml)
5. Create a webhook in GitLab. Set the URL to ```http[s]://<PR_AGENT_HOSTNAME>/webhook```. Set the secret token to the generated secret from step 2.
In the "Trigger" section, check the comments and merge request events boxes.
```
git clone https://github.com/Codium-ai/pr-agent.git
```
4. Prepare variables and secrets. Skip this step if you plan on settings these as environment variables when running the agent:
1. In the configuration file/variables:
- Set `deployment_type` to "gitlab"
2. In the secrets file/variables:
- Set your AI model key in the respective section
- In the [gitlab] section, set `personal_access_token` (with token from step 1) and `shared_secret` (with secret from step 2)
5. Build a Docker image for the app and optionally push it to a Docker repository. We'll use Dockerhub as an example:
```
docker build . -t gitlab_pr_agent --target gitlab_webhook -f docker/Dockerfile
docker push codiumai/pr-agent:gitlab_webhook # Push to your Docker repository
```
6. Create a webhook in GitLab. Set the URL to ```http[s]://<PR_AGENT_HOSTNAME>/webhook```, the secret token to the generated secret from step 2, and enable the triggers `push`, `comments` and `merge request events`.
7. Test your installation by opening a merge request or commenting on a merge request using one of CodiumAI's commands.
boxes
6. Test your installation by opening a merge request or commenting or a merge request using one of CodiumAI's commands.

View File

@ -1,12 +1,12 @@
# Installation
## Self-hosted Qodo Merge
If you choose to host your own Qodo Merge, you first need to acquire two tokens:
## Self-hosted PR-Agent
If you choose to host you own PR-Agent, you first need to acquire two tokens:
1. An OpenAI key from [here](https://platform.openai.com/api-keys), with access to GPT-4 (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), with access to GPT-4 (or a key for other [language models](https://pr-agent-docs.codium.ai/usage-guide/changing_a_model/), if you prefer).
2. A GitHub\GitLab\BitBucket personal access token (classic), with the repo scope. [GitHub from [here](https://github.com/settings/tokens)]
There are several ways to use self-hosted Qodo Merge:
There are several ways to use self-hosted PR-Agent:
- [Locally](./locally.md)
- [GitHub](./github.md)
@ -14,8 +14,8 @@ There are several ways to use self-hosted Qodo Merge:
- [BitBucket](./bitbucket.md)
- [Azure DevOps](./azure.md)
## Qodo Merge Pro 💎
Qodo Merge Pro, an app hosted by CodiumAI for GitHub\GitLab\BitBucket, is also available.
## PR-Agent Pro 💎
PR-Agent Pro, an app hosted by CodiumAI for GitHub\GitLab\BitBucket, is also available.
<br>
With Qodo Merge Pro, installation is as simple as signing up and adding the Qodo Merge app to your relevant repo.
See [here](https://qodo-merge-docs.qodo.ai/installation/pr_agent_pro/) for more details.
With PR-Agent Pro, installation is as simple as signing up and adding the PR-Agent app to your relevant repo.
See [here](https://pr-agent-docs.codium.ai/installation/pr_agent_pro/) for more details.

View File

@ -16,8 +16,8 @@ from pr_agent.config_loader import get_settings
def main():
# Fill in the following values
provider = "github" # github/gitlab/bitbucket/azure_devops
user_token = "..." # user token
provider = "github" # GitHub provider
user_token = "..." # GitHub user token
openai_key = "..." # OpenAI key
pr_url = "..." # PR URL, for example 'https://github.com/Codium-ai/pr-agent/pull/809'
command = "/review" # Command to run (e.g. '/review', '/describe', '/ask="What is the purpose of this PR?"', ...)
@ -42,34 +42,42 @@ A list of the relevant tools can be found in the [tools guide](../tools/ask.md).
To invoke a tool (for example `review`), you can run directly from the Docker image. Here's how:
- For GitHub:
```
docker run --rm -it -e OPENAI.KEY=<your key> -e GITHUB.USER_TOKEN=<your token> codiumai/pr-agent:latest --pr_url <pr_url> review
```
If you are using GitHub enterprise server, you need to specify the custom url as variable.
For example, if your GitHub server is at `https://github.mycompany.com`, add the following to the command:
```
-e GITHUB.BASE_URL=https://github.mycompany.com/api/v3
```
```
docker run --rm -it -e OPENAI.KEY=<your key> -e GITHUB.USER_TOKEN=<your token> codiumai/pr-agent:latest --pr_url <pr_url> review
```
- For GitLab:
```
docker run --rm -it -e OPENAI.KEY=<your key> -e CONFIG.GIT_PROVIDER=gitlab -e GITLAB.PERSONAL_ACCESS_TOKEN=<your token> codiumai/pr-agent:latest --pr_url <pr_url> review
```
```
docker run --rm -it -e OPENAI.KEY=<your key> -e CONFIG.GIT_PROVIDER=gitlab -e GITLAB.PERSONAL_ACCESS_TOKEN=<your token> codiumai/pr-agent:latest --pr_url <pr_url> review
```
If you have a dedicated GitLab instance, you need to specify the custom url as variable:
```
-e GITLAB.URL=<your gitlab instance url>
```
Note: If you have a dedicated GitLab instance, you need to specify the custom url as variable:
```
docker run --rm -it -e OPENAI.KEY=<your key> -e CONFIG.GIT_PROVIDER=gitlab -e GITLAB.PERSONAL_ACCESS_TOKEN=<your token> -e GITLAB.URL=<your gitlab instance url> codiumai/pr-agent:latest --pr_url <pr_url> review
```
- For BitBucket:
```
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 other git providers, update CONFIG.GIT_PROVIDER accordingly, and check the `pr_agent/settings/.secrets_template.toml` file for the environment variables expected names and values.
---
If you want to ensure you're running a specific version of the Docker image, consider using the image's digest:
```bash
docker run --rm -it -e OPENAI.KEY=<your key> -e GITHUB.USER_TOKEN=<your token> codiumai/pr-agent@sha256:71b5ee15df59c745d352d84752d01561ba64b6d51327f97d46152f0c58a5f678 --pr_url <pr_url> review
```
Or you can run a [specific released versions](https://github.com/Codium-ai/pr-agent/blob/main/RELEASE_NOTES.md) of pr-agent, for example:
```
codiumai/pr-agent@v0.9
```
---
## Run from source
1. Clone this repository:
@ -107,7 +115,7 @@ python3 -m pr_agent.cli --issue_url <issue_url> similar_issue
...
```
[Optional] Add the pr_agent folder to your PYTHONPATH
[Optional] Add the pr_agent folder to your PYTHONPATH
```
export PYTHONPATH=$PYTHONPATH:<PATH to pr_agent folder>
```
```

View File

@ -1,46 +1,33 @@
Qodo Merge Pro is a versatile application compatible with GitHub, GitLab, and BitBucket, hosted by QodoAI.
See [here](https://qodo-merge-docs.qodo.ai/overview/pr_agent_pro/) for more details about the benefits of using Qodo Merge Pro.
A complimentary two-week trial is provided to all new users. Following the trial period, user licenses (seats) are required for continued access.
To purchase user licenses, please visit our [pricing page](https://www.qodo.ai/pricing/).
Once subscribed, users can seamlessly deploy the application across any of their code repositories.
## Getting Started with PR-Agent Pro
## Install Qodo Merge Pro for GitHub
PR-Agent Pro is a versatile application compatible with GitHub, GitLab, and BitBucket, hosted by CodiumAI.
See [here](https://pr-agent-docs.codium.ai/#pr-agent-pro) for more details about the benefits of using PR-Agent Pro.
### GitHub Cloud
Interested parties can subscribe to PR-Agent Pro through the following [link](https://www.codium.ai/pricing/).
After subscribing, you are granted the ability to easily install the application across any of your repositories.
Qodo Merge Pro for GitHub cloud is available for installation through the [GitHub Marketplace](https://github.com/apps/qodo-merge-pro).
![PR Agent Pro](https://codium.ai/images/pr_agent/pr_agent_pro_install.png){width=468}
![Qodo Merge Pro](https://codium.ai/images/pr_agent/pr_agent_pro_install.png){width=468}
Each user who wants to use PR-Agent pro needs to buy a seat.
Initially, CodiumAI offers a two-week trial period at no cost, after which continued access requires each user to secure a personal seat.
Once a user acquires a seat, they gain the flexibility to use PR-Agent Pro across any repository where it was enabled.
### GitHub Enterprise Server
Users without a purchased seat who interact with a repository featuring PR-Agent Pro are entitled to receive up to five complimentary feedbacks.
Beyond this limit, PR-Agent Pro will cease to respond to their inquiries unless a seat is purchased.
To use Qodo Merge Pro application on your private GitHub Enterprise Server, you will need to contact us for starting an [Enterprise](https://www.codium.ai/pricing/) trial.
### GitHub Open Source Projects
For open-source projects, Qodo Merge Pro is available for free usage. To install Qodo Merge Pro for your open-source repositories, use the following marketplace [link](https://github.com/apps/qodo-merge-pro-for-open-source).
## Install Qodo Merge Pro for Bitbucket
### Bitbucket Cloud
Qodo Merge Pro for Bitbucket Cloud is available for installation through the following [link](https://bitbucket.org/site/addons/authorize?addon_key=d6df813252c37258)
![Qodo Merge Pro](https://qodo.ai/images/pr_agent/pr_agent_pro_bitbucket_install.png){width=468}
### Bitbucket Server
To use Qodo Merge Pro application on your private Bitbucket Server, you will need to contact us for starting an [Enterprise](https://www.codium.ai/pricing/) trial.
## Install PR-Agent Pro for GitHub Enterprise Server
You can install PR-Agent Pro application on your GitHub Enterprise Server, and enjoy two weeks of free trial.
After the trial period, to continue using PR-Agent Pro, you will need to contact us for an [Enterprise license](https://www.codium.ai/pricing/).
## Install Qodo Merge Pro for GitLab (Teams & Enterprise)
## Install PR-Agent Pro for GitLab (Teams & Enterprise)
Since GitLab platform does not support apps, installing Qodo Merge Pro for GitLab is a bit more involved, and requires the following steps:
Since GitLab platform does not support apps, installing PR-Agent Pro for GitLab is a bit more involved, and requires the following steps:
#### Step 1
### Step 1
Acquire a personal, project or group level access token. Enable the “api” scope in order to allow Qodo Merge to read pull requests, comment and respond to requests.
Acquire a personal, project or group level access token. Enable the “api” scope in order to allow PR-Agent to read pull requests, comment and respond to requests.
<figure markdown="1">
![Step 1](https://www.codium.ai/images/pr_agent/gitlab_pro_pat.png){width=750}
@ -48,14 +35,14 @@ Acquire a personal, project or group level access token. Enable the “api” sc
Store the token in a safe place, you wont be able to access it again after it was generated.
#### Step 2
### Step 2
Generate a shared secret and link it to the access token. Browse to [https://register.gitlab.pr-agent.codium.ai](https://register.gitlab.pr-agent.codium.ai).
Fill in your generated GitLab token and your company or personal name in the appropriate fields and click "Submit".
You should see "Success!" displayed above the Submit button, and a shared secret will be generated. Store it in a safe place, you wont be able to access it again after it was generated.
#### Step 3
### Step 3
Install a webhook for your repository or groups, by clicking “webhooks” on the settings menu. Click the “Add new webhook” button.
@ -66,7 +53,7 @@ Install a webhook for your repository or groups, by clicking “webhooks” on t
In the webhook definition form, fill in the following fields:
URL: https://pro.gitlab.pr-agent.codium.ai/webhook
Secret token: Your QodoAI key
Secret token: Your CodiumAI key
Trigger: Check the comments and merge request events boxes.
Enable SSL verification: Check the box.
@ -74,8 +61,8 @@ Enable SSL verification: Check the box.
![Step 3.2](https://www.codium.ai/images/pr_agent/gitlab_pro_webhooks.png){width=750}
</figure>
#### Step 4
### Step 4
Youre all set!
Open a new merge request or add a MR comment with one of Qodo Merges commands such as /review, /describe or /improve.
Open a new merge request or add a MR comment with one of PR-Agents commands such as /review, /describe or /improve.

View File

@ -1,16 +1,16 @@
## Self-hosted Qodo Merge
## Self-hosted PR-Agent
- If you self-host Qodo Merge with your OpenAI (or other LLM provider) API key, it is between you and the provider. We don't send your code data to Qodo Merge servers.
- If you self-host PR-Agent with your OpenAI (or other LLM provider) API key, it is between you and the provider. We don't send your code data to PR-Agent servers.
## Qodo Merge Pro 💎
## PR-Agent Pro 💎
- When using Qodo Merge Pro 💎, hosted by CodiumAI, we will not store any of your data, nor will we use it for training. You will also benefit from an OpenAI account with zero data retention.
- When using PR-Agent Pro 💎, hosted by CodiumAI, we will not store any of your data, nor will we use it for training. You will also benefit from an OpenAI account with zero data retention.
- For certain clients, CodiumAI-hosted Qodo Merge Pro will use CodiumAIs proprietary models. If this is the case, you will be notified.
- For certain clients, CodiumAI-hosted PR-Agent Pro will use CodiumAIs proprietary models. If this is the case, you will be notified.
- No passive collection of Code and Pull Requests data — Qodo Merge will be active only when you invoke it, and it will then extract and analyze only data relevant to the executed command and queried pull request.
- No passive collection of Code and Pull Requests data — PR-Agent will be active only when you invoke it, and it will then extract and analyze only data relevant to the executed command and queried pull request.
## Qodo Merge Chrome extension
## PR-Agent Chrome extension
- The [Qodo Merge Chrome extension](https://chromewebstore.google.com/detail/pr-agent-chrome-extension/ephlnjeghhogofkifjloamocljapahnl) will not send your code to any external servers.
- The [PR-Agent Chrome extension](https://chromewebstore.google.com/detail/pr-agent-chrome-extension/ephlnjeghhogofkifjloamocljapahnl) will not send your code to any external servers.

View File

@ -1,37 +1,25 @@
# Overview
Qodo Merge is an open-source tool to help efficiently review and handle pull requests.
CodiumAI PR-Agent is an open-source tool to help efficiently review and handle pull requests.
- See the [Installation Guide](./installation/index.md) for instructions on installing and running the tool on different git platforms.
- See the [Usage Guide](./usage-guide/index.md) for instructions on running the Qodo Merge commands via different interfaces, including _CLI_, _online usage_, or by _automatically triggering_ them when a new PR is opened.
- See the [Usage Guide](./usage-guide/index.md) for instructions on running the PR-Agent commands via different interfaces, including _CLI_, _online usage_, or by _automatically triggering_ them when a new PR is opened.
- See the [Tools Guide](./tools/index.md) for a detailed description of the different tools.
## Qodo Merge Docs Smart Search
To search the documentation site using natural language:
1) Comment `/help "your question"` in either:
- A pull request where Qodo Merge is installed
- A [PR Chat](https://qodo-merge-docs.qodo.ai/chrome-extension/features/#pr-chat)
2) Qodo Merge will respond with an [answer](https://github.com/Codium-ai/pr-agent/pull/1241#issuecomment-2365259334) that includes relevant documentation links.
## Qodo Merge Features
Qodo Merge offers extensive pull request functionalities across various git providers.
## PR-Agent Features
PR-Agent offers extensive pull request functionalities across various git providers.
| | | GitHub | Gitlab | Bitbucket | Azure DevOps |
|-------|-----------------------------------------------------------------------------------------------------------------------|:------:|:------:|:---------:|:------------:|
| TOOLS | Review | ✅ | ✅ | ✅ | ✅ |
| | ⮑ Incremental | ✅ | | | |
| | ⮑ [SOC2 Compliance](https://pr-agent-docs.codium.ai/tools/review/#soc2-ticket-compliance){:target="_blank"} 💎 | ✅ | ✅ | ✅ | ✅ |
| | Ask | ✅ | ✅ | ✅ | ✅ |
| | Describe | ✅ | ✅ | ✅ | ✅ |
| | ⮑ [Inline file summary](https://qodo-merge-docs.qodo.ai/tools/describe/#inline-file-summary){:target="_blank"} 💎 | ✅ | ✅ | | ✅ |
| | ⮑ [Inline file summary](https://pr-agent-docs.codium.ai/tools/describe/#inline-file-summary){:target="_blank"} 💎 | ✅ | ✅ | | ✅ |
| | Improve | ✅ | ✅ | ✅ | ✅ |
| | ⮑ Extended | ✅ | ✅ | ✅ | ✅ |
| | [Custom Prompt](./tools/custom_prompt.md){:target="_blank"} 💎 | ✅ | ✅ | ✅ | ✅ |
@ -54,7 +42,7 @@ Qodo Merge offers extensive pull request functionalities across various git prov
| | [Static code analysis](./tools/analyze.md/){:target="_blank"} 💎 | ✅ | ✅ | ✅ | ✅ |
| | [Multiple configuration options](./usage-guide/configuration_options.md){:target="_blank"} 💎 | ✅ | ✅ | ✅ | ✅ |
💎 marks a feature available only in [Qodo Merge Pro](https://www.codium.ai/pricing/){:target="_blank"}
💎 marks a feature available only in [PR-Agent Pro](https://www.codium.ai/pricing/){:target="_blank"}
## Example Results
@ -86,8 +74,8 @@ Qodo Merge offers extensive pull request functionalities across various git prov
## How it Works
The following diagram illustrates Qodo Merge tools and their flow:
The following diagram illustrates PR-Agent tools and their flow:
![Qodo Merge Tools](https://codium.ai/images/pr_agent/diagram-v0.9.png)
![PR-Agent Tools](https://codium.ai/images/pr_agent/diagram-v0.9.png)
Check out the [PR Compression strategy](core-abilities/index.md) page for more details on how we convert a code diff to a manageable LLM prompt
Check out the [PR Compression strategy](core-abilities/index.md) page for more details on how we convert a code diff to a manageable LLM prompt

View File

@ -1,51 +1,52 @@
### Overview
[Qodo Merge Pro](https://www.codium.ai/pricing/) is a hosted version of open-source [Qodo Merge (PR-Agent)](https://github.com/Codium-ai/pr-agent). A complimentary two-week trial is offered, followed by a monthly subscription fee.
Qodo Merge Pro is designed for companies and teams that require additional features and capabilities. It provides the following benefits:
[PR-Agent Pro](https://www.codium.ai/pricing/) is a hosted version of PR-Agent, provided by CodiumAI. A complimentary two-week trial is offered, followed by a monthly subscription fee.
PR-Agent Pro is designed for companies and teams that require additional features and capabilities. It provides the following benefits:
1. **Fully managed** - We take care of everything for you - hosting, models, regular updates, and more. Installation is as simple as signing up and adding the Qodo Merge app to your GitHub\GitLab\BitBucket repo.
1. **Fully managed** - We take care of everything for you - hosting, models, regular updates, and more. Installation is as simple as signing up and adding the PR-Agent app to your GitHub\GitLab\BitBucket repo.
2. **Improved privacy** - No data will be stored or used to train models. Qodo Merge Pro will employ zero data retention, and will use an OpenAI and Claude accounts with zero data retention.
2. **Improved privacy** - No data will be stored or used to train models. PR-Agent Pro will employ zero data retention, and will use an OpenAI and Claude accounts with zero data retention.
3. **Improved support** - Qodo Merge Pro users will receive priority support, and will be able to request new features and capabilities.
3. **Improved support** - PR-Agent Pro users will receive priority support, and will be able to request new features and capabilities.
4. **Supporting self-hosted git servers** - Qodo Merge Pro can be installed on GitHub Enterprise Server, GitLab, and BitBucket. For more information, see the [installation guide](https://qodo-merge-docs.qodo.ai/installation/pr_agent_pro/).
4. **Supporting self-hosted git servers** - PR-Agent Pro can be installed on GitHub Enterprise Server, GitLab, and BitBucket. For more information, see the [installation guide](https://pr-agent-docs.codium.ai/installation/pr_agent_pro/).
5. **PR Chat** - Qodo Merge Pro allows you to engage in [private chat](https://qodo-merge-docs.qodo.ai/chrome-extension/features/#pr-chat) about your pull requests on private repositories.
5. **PR Chat** - PR-Agent Pro allows you to engage in [private chat](https://pr-agent-docs.codium.ai/chrome-extension/features/#pr-chat) about your pull requests on private repositories.
### Additional features
Here are some of the additional features and capabilities that Qodo Merge Pro offers:
Here are some of the additional features and capabilities that PR-Agent Pro offers:
| Feature | Description |
|----------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [**Model selection**](https://qodo-merge-docs.qodo.ai/usage-guide/PR_agent_pro_models/) | Choose the model that best fits your needs, among top models like `GPT4` and `Claude-Sonnet-3.5`
| [**Global and wiki configuration**](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) | Control configurations for many repositories from a single location; <br>Edit configuration of a single repo without committing code |
| [**Apply suggestions**](https://qodo-merge-docs.qodo.ai/tools/improve/#overview) | Generate committable code from the relevant suggestions interactively by clicking on a checkbox |
| [**Suggestions impact**](https://qodo-merge-docs.qodo.ai/tools/improve/#assessing-impact) | Automatically mark suggestions that were implemented by the user (either directly in GitHub, or indirectly in the IDE) to enable tracking of the impact of the suggestions |
| [**CI feedback**](https://qodo-merge-docs.qodo.ai/tools/ci_feedback/) | Automatically analyze failed CI checks on GitHub and provide actionable feedback in the PR conversation, helping to resolve issues quickly |
| [**Advanced usage statistics**](https://www.codium.ai/contact/#/) | Qodo Merge Pro offers detailed statistics at user, repository, and company levels, including metrics about Qodo Merge usage, and also general statistics and insights |
| [**Incorporating companies' best practices**](https://qodo-merge-docs.qodo.ai/tools/improve/#best-practices) | Use the companies' best practices as reference to increase the effectiveness and the relevance of the code suggestions |
| [**Interactive triggering**](https://qodo-merge-docs.qodo.ai/tools/analyze/#example-usage) | Interactively apply different tools via the `analyze` command |
| [**Custom labels**](https://qodo-merge-docs.qodo.ai/tools/describe/#handle-custom-labels-from-the-repos-labels-page) | Define custom labels for Qodo Merge to assign to the PR |
| [**Model selection**](https://pr-agent-docs.codium.ai/usage-guide/PR_agent_pro_models/#pr-agent-pro-models) | Choose the model that best fits your needs, among top models like `GPT4` and `Claude-Sonnet-3.5`
| [**Global and wiki configuration**](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/) | Control configurations for many repositories from a single location; <br>Edit configuration of a single repo without commiting code |
| [**Apply suggestions**](https://pr-agent-docs.codium.ai/tools/improve/#overview) | Generate commitable code from the relevant suggestions interactively by clicking on a checkbox |
| [**Suggestions impact**](https://pr-agent-docs.codium.ai/tools/improve/#assessing-impact) | Automatically mark suggestions that were implemented by the user (either directly in GitHub, or indirectly in the IDE) to enable tracking of the impact of the suggestions |
| [**CI feedback**](https://pr-agent-docs.codium.ai/tools/ci_feedback/) | Automatically analyze failed CI checks on GitHub and provide actionable feedback in the PR conversation, helping to resolve issues quickly |
| [**Advanced usage statistics**](https://www.codium.ai/contact/#/) | PR-Agent Pro offers detailed statistics at user, repository, and company levels, including metrics about PR-Agent usage, and also general statistics and insights |
| [**Incorporating companies' best practices**](https://pr-agent-docs.codium.ai/tools/improve/#best-practices) | Use the companies' best practices as reference to increase the effectiveness and the relevance of the code suggestions |
| [**Interactive triggering**](https://pr-agent-docs.codium.ai/tools/analyze/#example-usage) | Interactively apply different tools via the `analyze` command |
| [**SOC2 compliance check**](https://pr-agent-docs.codium.ai/tools/review/#configuration-options) | Ensures the PR contains a ticket to a project management system (e.g., Jira, Asana, Trello, etc.)
| [**Custom labels**](https://pr-agent-docs.codium.ai/tools/describe/#handle-custom-labels-from-the-repos-labels-page) | Define custom labels for PR-Agent to assign to the PR |
### Additional tools
Here are additional tools that are available only for Qodo Merge Pro users:
Here are additional tools that are available only for PR-Agent Pro users:
| Feature | Description |
|---------|-------------|
| [**Custom Prompt Suggestions**](https://qodo-merge-docs.qodo.ai/tools/custom_prompt/) | Generate code suggestions based on custom prompts from the user |
| [**Analyze PR components**](https://qodo-merge-docs.qodo.ai/tools/analyze/) | Identify the components that changed in the PR, and enable to interactively apply different tools to them |
| [**Tests**](https://qodo-merge-docs.qodo.ai/tools/test/) | Generate tests for code components that changed in the PR |
| [**PR documentation**](https://qodo-merge-docs.qodo.ai/tools/documentation/) | Generate docstring for code components that changed in the PR |
| [**Improve Component**](https://qodo-merge-docs.qodo.ai/tools/improve_component/) | Generate code suggestions for code components that changed in the PR |
| [**Similar code search**](https://qodo-merge-docs.qodo.ai/tools/similar_code/) | Search for similar code in the repository, organization, or entire GitHub |
| [**Custom Prompt Suggestions**](https://pr-agent-docs.codium.ai/tools/custom_prompt/) | Generate code suggestions based on custom prompts from the user |
| [**Analyze PR components**](https://pr-agent-docs.codium.ai/tools/analyze/) | Identify the components that changed in the PR, and enable to interactively apply different tools to them |
| [**Tests**](https://pr-agent-docs.codium.ai/tools/test/) | Generate tests for code components that changed in the PR |
| [**PR documentation**](https://pr-agent-docs.codium.ai/tools/documentation/) | Generate docstring for code components that changed in the PR |
| [**Improve Component**](https://pr-agent-docs.codium.ai/tools/improve_component/) | Generate code suggestions for code components that changed in the PR |
| [**Similar code search**](https://pr-agent-docs.codium.ai/tools/similar_code/) | Search for similar code in the repository, organization, or entire GitHub |
### Supported languages
Qodo Merge Pro leverages the world's leading code models - Claude 3.5 Sonnet and GPT-4.
PR-Agent Pro leverages the world's leading code models - Claude 3.5 Sonnet and GPT-4.
As a result, its primary tools such as `describe`, `review`, and `improve`, as well as the PR-chat feature, support virtually all programming languages.
For specialized commands that require static code analysis, Qodo Merge Pro offers support for specific languages. For more details about features that require static code analysis, please refer to the [documentation](https://qodo-merge-docs.qodo.ai/tools/analyze/#overview).
For specialized commands that require static code analysis, PR-Agent Pro offers support for specific languages. For more details about features that require static code analysis, please refer to the [documentation](https://pr-agent-docs.codium.ai/tools/analyze/#overview).

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@ -16,4 +16,4 @@ An example result:
**Notes**
- Language that are currently supported: Python, Java, C++, JavaScript, TypeScript, C#.
- Language that are currently supported: Python, Java, C++, JavaScript, TypeScript, C#.

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@ -16,7 +16,7 @@ It can be invoked manually by commenting on any PR:
You can run `/ask` on specific lines of code in the PR from the PR's diff view. The tool will answer questions based on the code changes in the selected lines.
- Click on the '+' sign next to the line number to select the line.
- To select multiple lines, click on the '+' sign of the first line and then hold and drag to select the rest of the lines.
- To select multiple lines, click on the '+' sign of the first line and then hold and drag to select the rest of the lines.
- write `/ask "..."` in the comment box and press `Add single comment` button.
![Ask Line](https://codium.ai/images/pr_agent/Ask_line.png){width=512}
@ -56,4 +56,4 @@ To get a direct link to an image, we recommend using the following scheme:
![Ask image5](https://codium.ai/images/pr_agent/ask_images5.png){width=512}
See a full video tutorial [here](https://codium.ai/images/pr_agent/ask_image_video.mov)
See a full video tutorial [here](https://codium.ai/images/pr_agent/ask_image_video.mov)

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@ -25,10 +25,10 @@ There are 3 ways to enable custom labels:
When working from CLI, you need to apply the [configuration changes](#configuration-options) to the [custom_labels file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/custom_labels.toml):
#### 2. Repo configuration file
To enable custom labels, you need to apply the [configuration changes](#configuration-options) to the local `.pr_agent.toml` file in your repository.
To enable custom labels, you need to apply the [configuration changes](#configuration-options) to the local `.pr_agent.toml` file in you repository.
#### 3. Handle custom labels from the Repo's labels page 💎
> This feature is available only in Qodo Merge Pro
> This feature is available only in PR-Agent Pro
* GitHub : `https://github.com/{owner}/{repo}/labels`, or click on the "Labels" tab in the issues or PRs page.
* GitLab : `https://gitlab.com/{owner}/{repo}/-/labels`, or click on "Manage" -> "Labels" on the left menu.
@ -57,4 +57,4 @@ description = "Description of when AI should suggest this label"
[custom_labels."Custom Label 2"]
description = "Description of when AI should suggest this label 2"
```
```

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@ -41,7 +41,7 @@ The code suggestions should focus only on the following:
- make sure every variable has a meaningful name
- make sure the code is efficient
"""
```
```
(The instructions above are just an example. We want to emphasize that the prompt should be specific and clear, and be tailored to the needs of your project)
@ -55,4 +55,4 @@ Results obtained with the prompt above:
`num_code_suggestions`: number of code suggestions provided by the 'custom_prompt' tool. Default is 4.
`enable_help_text`: if set to true, the tool will display a help text in the comment. Default is true.
`enable_help_text`: if set to true, the tool will display a help text in the comment. Default is true.

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@ -25,7 +25,7 @@ If you want to edit [configurations](#configuration-options), add the relevant o
### Automatic triggering
To run the `describe` automatically when a PR is opened, define in a [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#wiki-configuration-file):
To run the `describe` automatically when a PR is opened, define in a [configuration file](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/#wiki-configuration-file):
```
[github_app]
pr_commands = [
@ -34,7 +34,7 @@ pr_commands = [
]
[pr_description]
publish_labels = true
publish_labels = ...
...
```
@ -49,7 +49,7 @@ publish_labels = true
<table>
<tr>
<td><b>publish_labels</b></td>
<td>If set to true, the tool will publish labels to the PR. Default is false.</td>
<td>If set to true, the tool will publish the labels to the PR. Default is true.</td>
</tr>
<tr>
<td><b>publish_description_as_comment</b></td>
@ -157,7 +157,7 @@ The marker `pr_agent:type` will be replaced with the PR type, `pr_agent:summary`
The default labels of the describe tool are quite generic, since they are meant to be used in any repo: [`Bug fix`, `Tests`, `Enhancement`, `Documentation`, `Other`].
You can define custom labels that are relevant for your repo and use cases.
Custom labels can be defined in a [configuration file](https://qodo-merge-docs.qodo.ai/tools/custom_labels/#configuration-options), or directly in the repo's [labels page](#handle-custom-labels-from-the-repos-labels-page).
Custom labels can be defined in a [configuration file](https://pr-agent-docs.codium.ai/tools/custom_labels/#configuration-options), or directly in the repo's [labels page](#handle-custom-labels-from-the-repos-labels-page).
Make sure to provide proper title, and a detailed and well-phrased description for each label, so the tool will know when to suggest it.
Each label description should be a **conditional statement**, that indicates if to add the label to the PR or not, according to the PR content.
@ -205,7 +205,7 @@ The description should be comprehensive and detailed, indicating when to add the
## Usage Tips
!!! tip "Automation"
- When you first install Qodo Merge app, the [default mode](../usage-guide/automations_and_usage.md#github-app) for the describe tool is:
- When you first install PR-Agent app, the [default mode](../usage-guide/automations_and_usage.md#github-app) for the describe tool is:
```
pr_commands = ["/describe", ...]
```

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@ -30,4 +30,4 @@ You can state a name of a specific component in the PR to get documentation only
**Notes**
- Language that are currently fully supported: Python, Java, C++, JavaScript, TypeScript, C#.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.

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@ -1,6 +1,6 @@
## Overview
The `help` tool provides a list of all the available tools and their descriptions.
For Qodo Merge Pro users, it also enables to trigger each tool by checking the relevant box.
For PR-Agent Pro users, it also enables to trigger each tool by checking the relevant box.
It can be invoked manually by commenting on any PR:
```

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@ -1,7 +1,7 @@
## Overview
The `improve` tool scans the PR code changes, and automatically generates [meaningful](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/pr_code_suggestions_prompts.toml#L41) suggestions for improving the PR code.
The tool can be triggered automatically every time a new PR is [opened](../usage-guide/automations_and_usage.md#github-app-automatic-tools-when-a-new-pr-is-opened), or it can be invoked manually by commenting on any PR:
```toml
```
/improve
```
@ -9,7 +9,7 @@ The tool can be triggered automatically every time a new PR is [opened](../usage
![code_suggestions_as_comment_open.png](https://codium.ai/images/pr_agent/code_suggestions_as_comment_open.png){width=512}
Note that the `Apply this suggestion` checkbox, which interactively converts a suggestion into a commitable code comment, is available only for Qodo Merge Pro 💎 users.
Note that the `Apply this suggestion` checkbox, which interactively converts a suggestion into a commitable code comment, is available only for PR-Agent Pro 💎 users.
## Example usage
@ -19,12 +19,12 @@ Note that the `Apply this suggestion` checkbox, which interactively converts a s
Invoke the tool manually by commenting `/improve` on any PR. The code suggestions by default are presented as a single comment:
To edit [configurations](#configuration-options) related to the improve tool, use the following template:
```toml
```
/improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...
```
For example, you can choose to present all the suggestions as commitable code comments, by running the following command:
```toml
```
/improve --pr_code_suggestions.commitable_code_suggestions=true
```
@ -36,8 +36,8 @@ Also note that collapsible are not supported in _Bitbucket_. Hence, the suggesti
### Automatic triggering
To run the `improve` automatically when a PR is opened, define in a [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#wiki-configuration-file):
```toml
To run the `improve` automatically when a PR is opened, define in a [configuration file](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/#wiki-configuration-file):
```
[github_app]
pr_commands = [
"/improve",
@ -54,192 +54,31 @@ num_code_suggestions_per_chunk = ...
### Assessing Impact 💎
Note that Qodo Merge pro tracks two types of implementations:
Note that PR-Agent pro tracks two types of implementations:
- Direct implementation - when the user directly applies the suggestion by clicking the `Apply` checkbox.
- Indirect implementation - when the user implements the suggestion in their IDE environment. In this case, Qodo Merge will utilize, after each commit, a dedicated logic to identify if a suggestion was implemented, and will mark it as implemented.
- Indirect implementation - when the user implements the suggestion in their IDE environment. In this case, PR-Agent will utilize, after each commit, a dedicated logic to identify if a suggestion was implemented, and will mark it as implemented.
![code_suggestions_asses_impact](https://codium.ai/images/pr_agent/code_suggestions_asses_impact.png){width=512}
In post-process, Qodo Merge counts the number of suggestions that were implemented, and provides general statistics and insights about the suggestions' impact on the PR process.
In post-process, PR-Agent counts the number of suggestions that were implemented, and provides general statistics and insights about the suggestions' impact on the PR process.
![code_suggestions_asses_impact_stats_1](https://codium.ai/images/pr_agent/code_suggestions_asses_impact_stats_1.png){width=512}
![code_suggestions_asses_impact_stats_2](https://codium.ai/images/pr_agent/code_suggestions_asses_impact_stats_2.png){width=512}
## Suggestion tracking 💎
`Platforms supported: GitHub, GitLab`
Qodo Merge employs an novel detection system to automatically [identify](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/) AI code suggestions that PR authors have accepted and implemented.
Accepted suggestions are also automatically documented in a dedicated wiki page called `.pr_agent_accepted_suggestions`, allowing users to track historical changes, assess the tool's effectiveness, and learn from previously implemented recommendations in the repository.
An example [result](https://github.com/Codium-ai/pr-agent/wiki/.pr_agent_accepted_suggestions):
[![pr_agent_accepted_suggestions1.png](https://qodo.ai/images/pr_agent/pr_agent_accepted_suggestions1.png){width=768}](https://github.com/Codium-ai/pr-agent/wiki/.pr_agent_accepted_suggestions)
This dedicated wiki page will also serve as a foundation for future AI model improvements, allowing it to learn from historically implemented suggestions and generate more targeted, contextually relevant recommendations.
This feature is controlled by a boolean configuration parameter: `pr_code_suggestions.wiki_page_accepted_suggestions` (default is true).
!!! note "Wiki must be enabled"
While the aggregation process is automatic, GitHub repositories require a one-time manual wiki setup.
To initialize the wiki: navigate to `Wiki`, select `Create the first page`, then click `Save page`.
![pr_agent_accepted_suggestions_create_first_page.png](https://qodo.ai/images/pr_agent/pr_agent_accepted_suggestions_create_first_page.png){width=768}
Once a wiki repo is created, the tool will automatically use this wiki for tracking suggestions.
!!! note "Why a wiki page?"
Your code belongs to you, and we respect your privacy. Hence, we won't store any code suggestions in an external database.
Instead, we leverage a dedicated private page, within your repository wiki, to track suggestions. This approach offers convenient secure suggestion tracking while avoiding pull requests or any noise to the main repository.
## `Extra instructions` and `best practices`
The `improve` tool can be further customized by providing additional instructions and best practices to the AI model.
### Extra instructions
>`Platforms supported: GitHub, GitLab, Bitbucket, Azure DevOps`
You can use the `extra_instructions` configuration option to give the AI model additional instructions for the `improve` tool.
Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter.
Examples for possible instructions:
```toml
[pr_code_suggestions]
extra_instructions="""\
(1) Answer in japanese
(2) Don't suggest to add try-except block
(3) Ignore changes in toml files
...
"""
```
Use triple quotes to write multi-line instructions. Use bullet points or numbers to make the instructions more readable.
### Best practices 💎
>`Platforms supported: GitHub, GitLab, Bitbucket`
Another option to give additional guidance to the AI model is by creating a dedicated [**wiki page**](https://github.com/Codium-ai/pr-agent/wiki) called `best_practices.md`.
This page can contain a list of best practices, coding standards, and guidelines that are specific to your repo/organization.
The AI model will use this wiki page as a reference, and in case the PR code violates any of the guidelines, it will create additional suggestions, with a dedicated label: `Organization
best practice`.
Example for a python `best_practices.md` content:
```markdown
## Project best practices
- Make sure that I/O operations are encapsulated in a try-except block
- Use the `logging` module for logging instead of `print` statements
- Use `is` and `is not` to compare with `None`
- Use `if __name__ == '__main__':` to run the code only when the script is executed
- Use `with` statement to open files
...
```
Tips for writing an effective `best_practices.md` file:
- Write clearly and concisely
- Include brief code examples when helpful
- Focus on project-specific guidelines, that will result in relevant suggestions you actually want to get
- Keep the file relatively short, under 800 lines, since:
- AI models may not process effectively very long documents
- Long files tend to contain generic guidelines already known to AI
#### Local and global best practices
By default, Qodo Merge will look for a local `best_practices.md` wiki file in the root of the relevant local repo.
If you want to enable also a global `best_practices.md` wiki file, set first in the global configuration file:
```toml
[best_practices]
enable_global_best_practices = true
```
Then, create a `best_practices.md` wiki file in the root of [global](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#global-configuration-file) configuration repository, `pr-agent-settings`.
#### Best practices for multiple languages
For a git organization working with multiple programming languages, you can maintain a centralized global `best_practices.md` file containing language-specific guidelines.
When reviewing pull requests, Qodo Merge automatically identifies the programming language and applies the relevant best practices from this file.
To do this, structure your `best_practices.md` file using the following format:
```
# [Python]
...
# [Java]
...
# [JavaScript]
...
```
#### Dedicated label for best practices suggestions
Best practice suggestions are labeled as `Organization best practice` by default.
To customize this label, modify it in your configuration file:
```toml
[best_practices]
organization_name = "..."
```
And the label will be: `{organization_name} best practice`.
#### Example results
![best_practice](https://codium.ai/images/pr_agent/org_best_practice.png){width=512}
### How to combine `extra instructions` and `best practices`
The `extra instructions` configuration is more related to the `improve` tool prompt. It can be used, for example, to avoid specific suggestions ("Don't suggest to add try-except block", "Ignore changes in toml files", ...) or to emphasize specific aspects or formats ("Answer in Japanese", "Give only short suggestions", ...)
In contrast, the `best_practices.md` file is a general guideline for the way code should be written in the repo.
Using a combination of both can help the AI model to provide relevant and tailored suggestions.
## Usage Tips
### Implementing the proposed code suggestions
Each generated suggestion consists of three key elements:
1. A single-line summary of the proposed change
2. An expandable section containing a comprehensive description of the suggestion
3. A diff snippet showing the recommended code modification (before and after)
We advise users to apply critical analysis and judgment when implementing the proposed suggestions.
In addition to mistakes (which may happen, but are rare), sometimes the presented code modification may serve more as an _illustrative example_ than a direct applicable solution.
In such cases, we recommend prioritizing the suggestion's detailed description, using the diff snippet primarily as a supporting reference.
### 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`).
This method significantly reduces the PR footprint and allows for quick and easy digestion of multiple suggestions.
We also offer a complementary **dual publishing mode**. When enabled, suggestions exceeding a certain score threshold are not only displayed in the table, but also presented as commitable PR comments.
This mode helps highlight suggestions deemed more critical.
To activate dual publishing mode, use the following setting:
```toml
[pr_code_suggestions]
dual_publishing_score_threshold = x
```
Where x represents the minimum score threshold (>=) for suggestions to be presented as commitable PR comments in addition to the table. Default is -1 (disabled).
### Self-review
If you set in a configuration file:
```toml
```
[pr_code_suggestions]
demand_code_suggestions_self_review = true
```
The `improve` tool will add a checkbox below the suggestions, prompting user to acknowledge that they have reviewed the suggestions.
You can set the content of the checkbox text via:
```toml
```
[pr_code_suggestions]
code_suggestions_self_review_text = "... (your text here) ..."
```
@ -247,81 +86,114 @@ code_suggestions_self_review_text = "... (your text here) ..."
![self_review_1](https://codium.ai/images/pr_agent/self_review_1.png){width=512}
!!! tip "Tip - Reducing visual footprint after self-review 💎"
💎 In addition, by setting:
```
[pr_code_suggestions]
approve_pr_on_self_review = true
```
the tool can automatically approve the PR when the user checks the self-review checkbox.
The configuration parameter `pr_code_suggestions.fold_suggestions_on_self_review` (default is True)
can be used to automatically fold the suggestions after the user clicks the self-review checkbox.
This reduces the visual footprint of the suggestions, and also indicates to the PR reviewer that the suggestions have been reviewed by the PR author, and don't require further attention.
!!! tip "Tip - Demanding self-review from the PR author 💎"
By setting:
```toml
[pr_code_suggestions]
approve_pr_on_self_review = true
```
the tool can automatically add an approval when the PR author clicks the self-review checkbox.
- If you set the number of required reviewers for a PR to 2, this effectively means that the PR author must click the self-review checkbox before the PR can be merged (in addition to a human reviewer).
!!! tip "Tip - demanding self-review from the PR author"
If you set the number of required reviewers for a PR to 2, this effectively means that the PR author must click the self-review checkbox before the PR can be merged (in addition to a human reviewer).
![self_review_2](https://codium.ai/images/pr_agent/self_review_2.png){width=512}
- If you keep the number of required reviewers for a PR to 1 and enable this configuration, this effectively means that the PR author can approve the PR by actively clicking the self-review checkbox.
### 'Extra instructions' and 'best practices'
To prevent unauthorized approvals, this configuration defaults to false, and cannot be altered through online comments; enabling requires a direct update to the configuration file and a commit to the repository. This ensures that utilizing the feature demands a deliberate documented decision by the repository owner.
#### Extra instructions
>`Platforms supported: GitHub, GitLab, Bitbucket`
You can use the `extra_instructions` configuration option to give the AI model additional instructions for the `improve` tool.
Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify relevant aspects that you want the model to focus on.
Examples for possible instructions:
```
[pr_code_suggestions]
extra_instructions="""\
(1) Answer in japanese
(2) Don't suggest to add try-excpet block
(3) Ignore changes in toml files
...
"""
```
Use triple quotes to write multi-line instructions. Use bullet points or numbers to make the instructions more readable.
#### Best practices 💎
>`Platforms supported: GitHub, GitLab`
Another option to give additional guidance to the AI model is by creating a dedicated [**wiki page**](https://github.com/Codium-ai/pr-agent/wiki) called `best_practices.md`.
This page can contain a list of best practices, coding standards, and guidelines that are specific to your repo/organization.
The AI model will use this wiki page as a reference, and in case the PR code violates any of the guidelines, it will suggest improvements accordingly, with a dedicated label: `Organization
best practice`.
Example for a `best_practices.md` content can be found [here](https://github.com/Codium-ai/pr-agent/blob/main/docs/docs/usage-guide/EXAMPLE_BEST_PRACTICE.md) (adapted from Google's [pyguide](https://google.github.io/styleguide/pyguide.html)).
This file is only an example. Since it is used as a prompt for an AI model, we want to emphasize the following:
- It should be written in a clear and concise manner
- If needed, it should give short relevant code snippets as examples
- Recommended to limit the text to 800 lines or fewer. Heres why:
1) Extremely long best practices documents may not be fully processed by the AI model.
2) A lengthy file probably represent a more "**generic**" set of guidelines, which the AI model is already familiar with. The objective is to focus on a more targeted set of guidelines tailored to the specific needs of this project.
##### Local and global best practices
By default, PR-Agent will look for a local `best_practices.md` wiki file in the root of the relevant local repo.
If you want to enable also a global `best_practices.md` wiki file, set first in the global configuration file:
```
[best_practices]
enable_global_best_practices = true
```
Then, create a `best_practices.md` wiki file in the root of [global](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/#global-configuration-file) configuration repository, `pr-agent-settings`.
##### Example results
![best_practice](https://codium.ai/images/pr_agent/org_best_practice.png){width=512}
### How many code suggestions are generated?
Qodo Merge uses a dynamic strategy to generate code suggestions based on the size of the pull request (PR). Here's how it works:
#### How to combine `extra instructions` and `best practices`
1) Chunking large PRs:
The `extra instructions` configuration is more related to the `improve` tool prompt. It can be used, for example, to avoid specific suggestions ("Don't suggest to add try-except block", "Ignore changes in toml files", ...) or to emphasize specific aspects or formats ("Answer in Japanese", "Give only short suggestions", ...)
- Qodo Merge divides large PRs into 'chunks'.
- Each chunk contains up to `pr_code_suggestions.max_context_tokens` tokens (default: 14,000).
2) Generating suggestions:
- For each chunk, Qodo Merge generates up to `pr_code_suggestions.num_code_suggestions_per_chunk` suggestions (default: 4).
This approach has two main benefits:
- Scalability: The number of suggestions scales with the PR size, rather than being fixed.
- Quality: By processing smaller chunks, the AI can maintain higher quality suggestions, as larger contexts tend to decrease AI performance.
Note: Chunking is primarily relevant for large PRs. For most PRs (up to 500 lines of code), Qodo Merge will be able to process the entire code in a single call.
In contrast, the `best_practices.md` file is a general guideline for the way code should be written in the repo.
Using a combination of both can help the AI model to provide relevant and tailored suggestions.
## Configuration options
??? example "General options"
<table>
<tr>
<td><b>num_code_suggestions</b></td>
<td>Number of code suggestions provided by the 'improve' tool. Default is 4 for CLI, 0 for auto tools.</td>
</tr>
<tr>
<td><b>extra_instructions</b></td>
<td>Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...".</td>
</tr>
<tr>
<td><b>rank_suggestions</b></td>
<td>If set to true, the tool will rank the suggestions, based on importance. Default is false.</td>
</tr>
<tr>
<td><b>commitable_code_suggestions</b></td>
<td>If set to true, the tool will display the suggestions as commitable code comments. Default is false.</td>
</tr>
<tr>
<td><b>dual_publishing_score_threshold</b></td>
<td>Minimum score threshold for suggestions to be presented as commitable PR comments in addition to the table. Default is -1 (disabled).</td>
</tr>
<tr>
<td><b>focus_only_on_problems</b></td>
<td>If set to true, suggestions will focus primarily on identifying and fixing code problems, and less on style considerations like best practices, maintainability, or readability. Default is true.</td>
</tr>
<tr>
<td><b>persistent_comment</b></td>
<td>If set to true, the improve comment will be persistent, meaning that every new improve request will edit the previous one. Default is false.</td>
</tr>
<tr>
<td><b>self_reflect_on_suggestions</b></td>
<td>If set to true, the improve tool will calculate an importance score for each suggestion [1-10], and sort the suggestion labels group based on this score. Default is true.</td>
</tr>
<tr>
<td><b>suggestions_score_threshold</b></td>
<td> Any suggestion with importance score less than this threshold will be removed. Default is 0. Highly recommend not to set this value above 7-8, since above it may clip relevant suggestions that can be useful. </td>
@ -338,41 +210,41 @@ Note: Chunking is primarily relevant for large PRs. For most PRs (up to 500 line
<td><b>enable_chat_text</b></td>
<td>If set to true, the tool will display a reference to the PR chat in the comment. Default is true.</td>
</tr>
<tr>
<td><b>wiki_page_accepted_suggestions</b></td>
<td>If set to true, the tool will automatically track accepted suggestions in a dedicated wiki page called `.pr_agent_accepted_suggestions`. Default is true.</td>
</tr>
<tr>
<td><b>allow_thumbs_up_down</b></td>
<td>If set to true, all code suggestions will have thumbs up and thumbs down buttons, to encourage users to provide feedback on the suggestions. Default is false.</td>
</tr>
</table>
??? example "Params for number of suggestions and AI calls"
??? example "params for 'extended' mode"
<table>
<tr>
<td><b>auto_extended_mode</b></td>
<td>Enable chunking the PR code and running the tool on each chunk. Default is true.</td>
<td>Enable extended mode automatically (no need for the --extended option). Default is true.</td>
</tr>
<tr>
<td><b>num_code_suggestions_per_chunk</b></td>
<td>Number of code suggestions provided by the 'improve' tool, per chunk. Default is 4.</td>
<td>Number of code suggestions provided by the 'improve' tool, per chunk. Default is 5.</td>
</tr>
<tr>
<td><b>rank_extended_suggestions</b></td>
<td>If set to true, the tool will rank the suggestions, based on importance. Default is true.</td>
</tr>
<tr>
<td><b>max_number_of_calls</b></td>
<td>Maximum number of chunks. Default is 3.</td>
<td>Maximum number of chunks. Default is 5.</td>
</tr>
<tr>
<td><b>final_clip_factor</b></td>
<td>Factor to remove suggestions with low confidence. Default is 0.9.</td>
</tr>
</table>
## A note on code suggestions quality
- AI models for code are getting better and better (Sonnet-3.5 and GPT-4), but they are not flawless. Not all the suggestions will be perfect, and a user should not accept all of them automatically. Critical reading and judgment are required.
- While mistakes of the AI are rare but can happen, a real benefit from the suggestions of the `improve` (and [`review`](https://qodo-merge-docs.qodo.ai/tools/review/)) tool is to catch, with high probability, **mistakes or bugs done by the PR author**, when they happen. So, it's a good practice to spend the needed ~30-60 seconds to review the suggestions, even if not all of them are always relevant.
- While mistakes of the AI are rare but can happen, a real benefit from the suggestions of the `improve` (and [`review`](https://pr-agent-docs.codium.ai/tools/review/)) tool is to catch, with high probability, **mistakes or bugs done by the PR author**, when they happen. So, it's a good practice to spend the needed ~30-60 seconds to review the suggestions, even if not all of them are always relevant.
- The hierarchical structure of the suggestions is designed to help the user to _quickly_ understand them, and to decide which ones are relevant and which are not:
- Only if the `Category` header is relevant, the user should move to the summarized suggestion description
- Only if the summarized suggestion description is relevant, the user should click on the collapsible, to read the full suggestion description with a code preview example.
- In addition, we recommend to use the [`extra_instructions`](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- The interactive [PR chat](https://qodo-merge-docs.qodo.ai/chrome-extension/) also provides an easy way to get more tailored suggestions and feedback from the AI model.
- In addition, we recommend to use the [`extra_instructions`](https://pr-agent-docs.codium.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- The interactive [PR chat](https://pr-agent-docs.codium.ai/chrome-extension/) also provides an easy way to get more tailored suggestions and feedback from the AI model.

View File

@ -26,4 +26,4 @@ The tool will generate code suggestions for the selected component (if no compon
- `num_code_suggestions`: number of code suggestions to provide. Default is 4
- `extra_instructions`: Optional extra instructions to the tool. For example: "focus on ...".
- `file`: in case there are several components with the same name, you can specify the relevant file.
- `class_name`: in case there are several methods with the same name in the same file, you can specify the relevant class name.
- `class_name`: in case there are several methods with the same name in the same file, you can specify the relevant class name.

View File

@ -1,6 +1,6 @@
# Tools
Here is a list of Qodo Merge tools, each with a dedicated page that explains how to use it:
Here is a list of PR-Agent tools, each with a dedicated page that explains how to use it:
| Tool | Description |
|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|
@ -19,4 +19,4 @@ Here is a list of Qodo Merge tools, each with a dedicated page that explains how
| **💎 [Improve Component (`/improve_component component_name`](./improve_component.md))** | Generates code suggestions for a specific code component that changed in the PR |
| **💎 [CI Feedback (`/checks ci_job`](./ci_feedback.md))** | Automatically generates feedback and analysis for a failed CI job |
Note that the tools marked with 💎 are available only for Qodo Merge Pro users.
Note that the tools marked with 💎 are available only for PR-Agent Pro users.

View File

@ -8,7 +8,7 @@ The tool can be triggered automatically every time a new PR is [opened](../usage
Note that the main purpose of the `review` tool is to provide the **PR reviewer** with useful feedbacks and insights. The PR author, in contrast, may prefer to save time and focus on the output of the [improve](./improve.md) tool, which provides actionable code suggestions.
(Read more about the different personas in the PR process and how Qodo Merge aims to assist them in our [blog](https://www.codium.ai/blog/understanding-the-challenges-and-pain-points-of-the-pull-request-cycle/))
(Read more about the different personas in the PR process and how PR-Agent aims to assist them in our [blog](https://www.codium.ai/blog/understanding-the-challenges-and-pain-points-of-the-pull-request-cycle/))
## Example usage
@ -30,7 +30,7 @@ If you want to edit [configurations](#configuration-options), add the relevant o
### Automatic triggering
To run the `review` automatically when a PR is opened, define in a [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#wiki-configuration-file):
To run the `review` automatically when a PR is opened, define in a [configuration file](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/#wiki-configuration-file):
```
[github_app]
pr_commands = [
@ -39,7 +39,7 @@ pr_commands = [
]
[pr_reviewer]
extra_instructions = "..."
num_code_suggestions = ...
...
```
@ -49,7 +49,7 @@ extra_instructions = "..."
[//]: # ()
[//]: # (### Incremental Mode)
[//]: # (Incremental review only considers changes since the last Qodo Merge review. This can be useful when working on the PR in an iterative manner, and you want to focus on the changes since the last review instead of reviewing the entire PR again.)
[//]: # (Incremental review only considers changes since the last PR-Agent review. This can be useful when working on the PR in an iterative manner, and you want to focus on the changes since the last review instead of reviewing the entire PR again.)
[//]: # (For invoking the incremental mode, the following command can be used:)
@ -95,7 +95,7 @@ extra_instructions = "..."
<table>
<tr>
<td><b>num_code_suggestions</b></td>
<td>Number of code suggestions provided by the 'review' tool. Default is 0, meaning no code suggestions will be provided by the `review` tool. Note that this is a legacy feature, that will be removed in future releases. Use the `improve` tool instead for code suggestions</td>
<td>Number of code suggestions provided by the 'review' tool. Default is 0, meaning no code suggestions will be provided by the `review` tool.</td>
</tr>
<tr>
<td><b>inline_code_comments</b></td>
@ -138,9 +138,20 @@ extra_instructions = "..."
<td><b>require_security_review</b></td>
<td>If set to true, the tool will add a section that checks if the PR contains a possible security or vulnerability issue. Default is true.</td>
</tr>
</table>
!!! example "SOC2 ticket compliance 💎"
This sub-tool checks if the PR description properly contains a ticket to a project management system (e.g., Jira, Asana, Trello, etc.), as required by SOC2 compliance. If not, it will add a label to the PR: "Missing SOC2 ticket".
<table>
<tr>
<td><b>require_ticket_analysis_review</b></td>
<td>If set to true, and the PR contains a GitHub or Jira ticket link, the tool will add a section that checks if the PR in fact fulfilled the ticket requirements. Default is true.</td>
<td><b>require_soc2_ticket</b></td>
<td>If set to true, the SOC2 ticket checker sub-tool will be enabled. Default is false.</td>
</tr>
<tr>
<td><b>soc2_ticket_prompt</b></td>
<td>The prompt for the SOC2 ticket review. Default is: `Does the PR description include a link to ticket in a project management system (e.g., Jira, Asana, Trello, etc.) ?`. Edit this field if your compliance requirements are different.</td>
</tr>
</table>
@ -180,14 +191,14 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
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.
Some of the features that are disabled by default are quite useful, and should be considered for enabling. For example:
`require_score_review`, and more.
Some of the features that are disabled by default are quite useful, and should be considered for enabling. For example:
`require_score_review`, `require_soc2_ticket`, and more.
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.
!!! tip "Automation"
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 PR-Agent 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_reviewer.num_code_suggestions=0", ...]
```
@ -197,19 +208,19 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
!!! tip "Possible labels from the review tool"
The `review` tool can auto-generate two specific types of labels for a PR:
- 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)
Both modes are useful, and we recommended to enable them.
!!! tip "Extra instructions"
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.
Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify the relevant sub-tool, and the relevant aspects of the PR that you want to emphasize.
Examples of extra instructions:
```
[pr_reviewer]
@ -226,23 +237,23 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
!!! tip "Auto-approval"
Qodo Merge can approve a PR when a specific comment is invoked.
PR-Agent can approve a PR when a specific comment is invoked.
To ensure safety, the auto-approval feature is disabled by default. To enable auto-approval, you need to actively set in a pre-defined configuration file the following:
```
[pr_reviewer]
enable_auto_approval = true
```
(this specific flag cannot be set with a command line argument, only in the configuration file, committed to the repository)
After enabling, by commenting on a PR:
```
/review auto_approve
```
Qodo Merge will automatically approve the PR, and add a comment with the approval.
PR-Agent will automatically approve the PR, and add a comment with the approval.
You can also enable auto-approval only if the PR meets certain requirements, such as that the `estimated_review_effort` label is equal or below a certain threshold, by adjusting the flag:
```
[pr_reviewer]
@ -258,3 +269,4 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
[//]: # ( Notice If you are interested **only** in the code suggestions, it is recommended to use the [`improve`]&#40;./improve.md&#41; feature instead, since it is a dedicated only to code suggestions, and usually gives better results.)
[//]: # ( Use the `review` tool if you want to get more comprehensive feedback, which includes code suggestions as well.)

View File

@ -8,9 +8,9 @@ For example:
![similar code global](https://codium.ai/images/pr_agent/similar_code_global2.png){width=768}
Qodo Merge will examine the code component and will extract the most relevant keywords to search for similar code:
PR-Agent will examine the code component and will extract the most relevant keywords to search for similar code:
- `extracted keywords`: the keywords that were extracted from the code by Qodo Merge. the link will open a search page with the extracted keywords, to allow the user to modify the search if needed.
- `extracted keywords`: the keywords that were extracted from the code by PR-Agent. the link will open a search page with the extracted keywords, to allow the user to modify the search if needed.
- `search context`: the context in which the search will be performed, organization's codebase or open-source code (Global).
- `similar code`: the most similar code components found. the link will open the code component in the relevant file.
- `relevant repositories`: the open-source repositories in which that are relevant to the searched code component and it's keywords.
@ -49,10 +49,9 @@ It can be invoked automatically from the analyze table, can be accessed by:
/analyze
```
Choose the components you want to find similar code for, and click on the `similar` checkbox.
![analyze similar](https://codium.ai/images/pr_agent/analyze_similar.png){width=768}
You can search for similar code either within the organization's codebase or globally, which includes open-source repositories. Each result will include the relevant code components along with their associated license details.
If you are looking to search for similar code in the organization's codebase, you can click on the `Organization` checkbox, and it will invoke a new search command just for the organization's codebase.
![similar code global](https://codium.ai/images/pr_agent/similar_code_global.png){width=768}

View File

@ -17,7 +17,7 @@ It can be invoked manually by commenting on any PR:
Note that to perform retrieval, the `similar_issue` tool indexes all the repo previous issues (once).
**Select VectorDBs** by changing `pr_similar_issue` parameter in `configuration.toml` file
**Select VectorDBs** by changing `pr_similar_issue` parameter in `configuration.toml` file
2 VectorDBs are available to switch in
1. LanceDB
@ -40,4 +40,4 @@ These parameters can be obtained by registering to [Pinecone](https://app.pineco
- To invoke the 'similar' issue tool via online usage, [comment](https://github.com/Codium-ai/pr-agent/issues/178#issuecomment-1716934893) on a PR:
`/similar_issue`
- You can also enable the 'similar issue' tool to run automatically when a new issue is opened, by adding it to the [pr_commands list in the github_app section](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L66)
- You can also enable the 'similar issue' tool to run automatically when a new issue is opened, by adding it to the [pr_commands list in the github_app section](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L66)

View File

@ -29,4 +29,4 @@ The tool will generate tests for the selected component (if no component is stat
- `extra_instructions`: Optional extra instructions to the tool. For example: "use the following mock injection scheme: ...".
- `file`: in case there are several components with the same name, you can specify the relevant file.
- `class_name`: in case there are several methods with the same name in the same file, you can specify the relevant class name.
- `enable_help_text`: if set to true, the tool will add a help text to the PR comment. Default is true.
- `enable_help_text`: if set to true, the tool will add a help text to the PR comment. Default is true.

View File

@ -16,4 +16,4 @@ It can be invoked manually by commenting on any PR:
Under the section `pr_update_changelog`, the [configuration file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L50) contains options to customize the 'update changelog' tool:
- `push_changelog_changes`: whether to push the changes to CHANGELOG.md, or just print them. Default is false (print only).
- `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...
- `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...

View File

@ -186,4 +186,4 @@ Do not rely on the atomicity of built-in types.
While Pythons built-in data types such as dictionaries appear to have atomic operations, there are corner cases where they arent atomic (e.g. if `__hash__` or `__eq__` are implemented as Python methods) and their atomicity should not be relied upon. Neither should you rely on atomic variable assignment (since this in turn depends on dictionaries).
Use the `queue` modules `Queue` data type as the preferred way to communicate data between threads. Otherwise, use the `threading` module and its locking primitives. Prefer condition variables and `threading.Condition` instead of using lower-level locks.
Use the `queue` modules `Queue` data type as the preferred way to communicate data between threads. Otherwise, use the `threading` module and its locking primitives. Prefer condition variables and `threading.Condition` instead of using lower-level locks.

View File

@ -1,18 +1,30 @@
## Qodo Merge Pro Models
## PR-Agent Pro Models
The default models used by Qodo Merge Pro are a combination of Claude-3.5-sonnet and OpenAI's GPT-4 models.
The default models used by PR-Agent Pro are OpenAI's GPT-4 models. We use a combination of GPT-4-Turbo and GPT-4o to strike a balance between speed and quality.
Users can configure Qodo Merge Pro to use solely a specific model by editing the [configuration](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) file.
For example, to restrict Qodo Merge Pro to using only `Claude-3.5-sonnet`, add this setting:
However, users can change the model used by PR-Agent Pro to Claude-3.5-sonnet, which also excels at code tasks.
To do so, add the following to your [configuration](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/) file:
```
[config]
model="claude-3-5-sonnet"
```
Or to restrict Qodo Merge Pro to using only `GPT-4o`, add this setting:
Note that Claude models tend to give lower scores for each suggestion, so if you are using a [threshold](https://pr-agent-docs.codium.ai/tools/improve/#configuration-options):
```
[config]
model="gpt-4o"
[pr_code_suggestions]
suggestions_score_threshold=...
```
You might need to adjust this value when switching models.
### Dedicated models per tool
You can also use different models for different tools. For example, you can use the Claude-3.5-sonnet model only for the `improve` tool (and keep the default GPT-4 model for the other tools) by adding the following to your configuration file:
```
[github_app]
pr_commands = [
"/describe --pr_description.final_update_message=false",
"/review --pr_reviewer.num_code_suggestions=0",
"/improve --config.model=claude-3-5-sonnet",
]
```

View File

@ -1,6 +1,6 @@
## Show possible configurations
The possible configurations of Qodo Merge are stored in [here](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml).
In the [tools](https://qodo-merge-docs.qodo.ai/tools/) page you can find explanations on how to use these configurations for each tool.
The possible configurations of pr-agent are stored in [here](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml).
In the [tools](https://pr-agent-docs.codium.ai/tools/) page you can find explanations on how to use these configurations for each tool.
To print all the available configurations as a comment on your PR, you can use the following command:
```
@ -22,7 +22,7 @@ Will output an additional field showing the actual configurations used for the `
## Ignoring files from analysis
In some cases, you may want to exclude specific files or directories from the analysis performed by Qodo Merge. This can be useful, for example, when you have files that are generated automatically or files that shouldn't be reviewed, like vendor code.
In some cases, you may want to exclude specific files or directories from the analysis performed by CodiumAI PR-Agent. This can be useful, for example, when you have files that are generated automatically or files that shouldn't be reviewed, like vendor code.
You can ignore files or folders using the following methods:
- `IGNORE.GLOB`
@ -52,7 +52,7 @@ regex = ['.*\.py$']
## Extra instructions
All Qodo Merge tools have a parameter called `extra_instructions`, that enables to add free-text extra instructions. Example usage:
All PR-Agent tools have a parameter called `extra_instructions`, that enables to add free-text extra instructions. Example usage:
```
/update_changelog --pr_update_changelog.extra_instructions="Make sure to update also the version ..."
```
@ -64,8 +64,8 @@ This mode provides a very good speed-quality-cost tradeoff, and can handle most
When the PR is above the token limit, it employs a [PR Compression strategy](../core-abilities/index.md).
However, for very large PRs, or in case you want to emphasize quality over speed and cost, there are two possible solutions:
1) [Use a model](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/) with larger context, like GPT-32K, or claude-100K. This solution will be applicable for all the tools.
2) For the `/improve` tool, there is an ['extended' mode](https://qodo-merge-docs.qodo.ai/tools/improve/) (`/improve --extended`),
1) [Use a model](https://codium-ai.github.io/Docs-PR-Agent/usage-guide/#changing-a-model) with larger context, like GPT-32K, or claude-100K. This solution will be applicable for all the tools.
2) For the `/improve` tool, there is an ['extended' mode](https://codium-ai.github.io/Docs-PR-Agent/tools/#improve) (`/improve --extended`),
which divides the PR into chunks, and processes each chunk separately. With this mode, regardless of the model, no compression will be done (but for large PRs, multiple model calls may occur)
@ -85,7 +85,7 @@ By default, around any change in your PR, git patch provides three lines of cont
code line that already existed in the file...
```
Qodo Merge will try to increase the number of lines of context, via the parameter:
PR-Agent will try to increase the number of lines of context, via the parameter:
```
[config]
patch_extra_lines_before=3
@ -94,12 +94,12 @@ patch_extra_lines_after=1
Increasing this number provides more context to the model, but will also increase the token budget, and may overwhelm the model with too much information, unrelated to the actual PR code changes.
If the PR is too large (see [PR Compression strategy](https://github.com/Codium-ai/pr-agent/blob/main/PR_COMPRESSION.md)), Qodo Merge may automatically set this number to 0, and will use the original git patch.
If the PR is too large (see [PR Compression strategy](https://github.com/Codium-ai/pr-agent/blob/main/PR_COMPRESSION.md)), PR-Agent may automatically set this number to 0, and will use the original git patch.
## Editing the prompts
The prompts for the various Qodo Merge tools are defined in the `pr_agent/settings` folder.
The prompts for the various PR-Agent tools are defined in the `pr_agent/settings` folder.
In practice, the prompts are loaded and stored as a standard setting object.
Hence, editing them is similar to editing any other configuration value - just place the relevant key in `.pr_agent.toml`file, and override the default value.
@ -138,7 +138,7 @@ LANGSMITH_BASE_URL=<url>
## Ignoring automatic commands in PRs
In some cases, you may want to automatically ignore specific PRs . Qodo Merge enables you to ignore PR with a specific title, or from/to specific branches (regex matching).
In some cases, you may want to automatically ignore specific PRs . PR-Agent enables you to ignore PR with a specific title, or from/to specific branches (regex matching).
To ignore PRs with a specific title such as "[Bump]: ...", you can add the following to your `configuration.toml` file:
@ -160,13 +160,3 @@ ignore_pr_target_branches = ["qa"]
Where the `ignore_pr_source_branches` and `ignore_pr_target_branches` are lists of regex patterns to match the source and target branches you want to ignore.
They are not mutually exclusive, you can use them together or separately.
To allow only specific folders (often needed in large monorepos), set:
```
[config]
allow_only_specific_folders=['folder1','folder2']
```
For the configuration above, automatic feedback will only be triggered when the PR changes include files from 'folder1' or 'folder2'

View File

@ -1,6 +1,5 @@
## Local repo (CLI)
When running from your locally cloned Qodo Merge repo (CLI), your local configuration file will be used.
When running from your locally cloned PR-Agent repo (CLI), your local configuration file will be used.
Examples of invoking the different tools via the CLI:
- **Review**: `python -m pr_agent.cli --pr_url=<pr_url> review`
@ -29,38 +28,18 @@ 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:
**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 PR-Agent. Currently, the following providers are supported:
`
"github", "gitlab", "bitbucket", "azure", "codecommit", "local", "gerrit"
`
Default is "github".
### CLI Health Check
To verify that Qodo Merge has been configured correctly, you can run this health check command from the repository root:
```bash
python -m tests.health_test.main
```
If the health check passes, you will see the following output:
### Online usage
```
========
Health test passed successfully
========
```
At the end of the run.
Before running the health check, ensure you have:
- Configured your [LLM provider](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/)
- Added a valid GitHub token to your configuration file
## Online usage
Online usage means invoking Qodo Merge tools by [comments](https://github.com/Codium-ai/pr-agent/pull/229#issuecomment-1695021901) on a PR.
Online usage means invoking PR-Agent tools by [comments](https://github.com/Codium-ai/pr-agent/pull/229#issuecomment-1695021901) on a PR.
Commands for invoking the different tools via comments:
- **Review**: `/review`
@ -79,82 +58,61 @@ For example, if you want to edit the `review` tool configurations, you can run:
Any configuration value in [configuration file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml) file can be similarly edited. Comment `/config` to see the list of available configurations.
## Qodo Merge Automatic Feedback
## GitHub App
### Disabling all automatic feedback
To easily disable all automatic feedback from Qodo Merge (GitHub App, GitLab Webhook, BitBucket App, Azure DevOps Webhook), set in a configuration file:
```toml
[config]
disable_auto_feedback = true
```
When this parameter is set to `true`, Qodo Merge will not run any automatic tools (like `describe`, `review`, `improve`) when a new PR is opened, or when new code is pushed to an open PR.
### GitHub App
!!! note "Configurations for Qodo Merge Pro"
Qodo Merge Pro for GitHub is an App, hosted by CodiumAI. So all the instructions below are relevant also for Qodo Merge Pro users.
!!! note "Configurations for PR-Agent Pro"
PR-Agent Pro for GitHub is an App, hosted by CodiumAI. So all the instructions below are relevant also for PR-Agent Pro users.
Same goes for [GitLab webhook](#gitlab-webhook) and [BitBucket App](#bitbucket-app) sections.
#### GitHub app automatic tools when a new PR is opened
### GitHub app automatic tools when a new PR is opened
The [github_app](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L220) section defines GitHub app specific configurations.
The [github_app](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L108) section defines GitHub app specific configurations.
The configuration parameter `pr_commands` defines the list of tools that will be **run automatically** when a new PR is opened:
```toml
The configuration parameter `pr_commands` defines the list of tools that will be **run automatically** when a new PR is opened.
```
[github_app]
pr_commands = [
"/describe",
"/review",
"/describe --pr_description.final_update_message=false",
"/review --pr_reviewer.num_code_suggestions=0",
"/improve",
]
```
This means that when a new PR is opened/reopened or marked as ready for review, PR-Agent will run the `describe`, `review` and `improve` tools.
For the `review` tool, for example, the `num_code_suggestions` parameter will be set to 0.
This means that when a new PR is opened/reopened or marked as ready for review, Qodo Merge will run the `describe`, `review` and `improve` tools.
You can override the default tool parameters by using one the three options for a [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/): **wiki**, **local**, or **global**.
For example, if your configuration file contains:
```toml
You can override the default tool parameters by using one the three options for a [configuration file](https://codium-ai.github.io/Docs-PR-Agent/usage-guide/#configuration-options): **wiki**, **local**, or **global**.
For example, if your local `.pr_agent.toml` file contains:
```
[pr_description]
generate_ai_title = true
```
Every time you run the `describe` tool, including automatic runs, the PR title will be generated by the AI.
Every time you run the `describe` tool (including automatic runs) the PR title will be generated by the AI.
You can customize configurations specifically for automated runs by using the `--config_path=<value>` parameter.
For instance, to modify the `review` tool settings only for newly opened PRs, use:
```toml
To cancel the automatic run of all the tools, set:
```
[github_app]
pr_commands = [
"/describe",
"/review --pr_reviewer.extra_instructions='focus on the file: ...'",
"/improve",
]
pr_commands = []
```
#### GitHub app automatic tools for push actions (commits to an open PR)
### GitHub app automatic tools for push actions (commits to an open PR)
In addition to running automatic tools when a PR is opened, the GitHub app can also respond to new code that is pushed to an open PR.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration parameter `push_commands` defines the list of tools that will be **run automatically** when new code is pushed to the PR.
```toml
```
[github_app]
handle_push_trigger = true
push_commands = [
"/describe",
"/review",
"/review --pr_reviewer.num_code_suggestions=0 --pr_reviewer.final_update_message=false",
]
```
This means that when new code is pushed to the PR, the Qodo Merge will run the `describe` and `review` tools, with the specified parameters.
This means that when new code is pushed to the PR, the PR-Agent will run the `describe` and `review` tools, with the specified parameters.
### GitHub Action
`GitHub Action` is a different way to trigger Qodo Merge tools, and uses a different configuration mechanism than `GitHub App`.<br>
You can configure settings for `GitHub Action` by adding environment variables under the env section in `.github/workflows/pr_agent.yml` file.
## GitHub Action
`GitHub Action` is a different way to trigger PR-Agent tools, and uses a different configuration mechanism than `GitHub App`.<br>
You can configure settings for `GitHub Action` by adding environment variables under the env section in `.github/workflows/pr_agent.yml` file.
Specifically, start by setting the following environment variables:
```yaml
env:
@ -163,7 +121,7 @@ Specifically, start by setting the following environment variables:
github_action_config.auto_review: "true" # enable\disable auto review
github_action_config.auto_describe: "true" # enable\disable auto describe
github_action_config.auto_improve: "true" # enable\disable auto improve
github_action_config.pr_actions: '["opened", "reopened", "ready_for_review", "review_requested"]'
github_action_config.pr_actions: ["opened", "reopened", "ready_for_review", "review_requested"]
```
`github_action_config.auto_review`, `github_action_config.auto_describe` and `github_action_config.auto_improve` are used to enable/disable automatic tools that run when a new PR is opened.
If not set, the default configuration is for all three tools to run automatically when a new PR is opened.
@ -171,105 +129,92 @@ If not set, the default configuration is for all three tools to run automaticall
`github_action_config.pr_actions` is used to configure which `pull_requests` events will trigger the enabled auto flags
If not set, the default configuration is `["opened", "reopened", "ready_for_review", "review_requested"]`
`github_action_config.enable_output` are used to enable/disable github actions [output parameter](https://docs.github.com/en/actions/creating-actions/metadata-syntax-for-github-actions#outputs-for-docker-container-and-javascript-actions) (default is `true`).
`github_action_config.enable_output` are used to enable/disable github actions [output parameter](https://docs.github.com/en/actions/creating-actions/metadata-syntax-for-github-actions#outputs-for-docker-container-and-javascript-actions) (default is `true`).
Review result is output as JSON to `steps.{step-id}.outputs.review` property.
The JSON structure is equivalent to the yaml data structure defined in [pr_reviewer_prompts.toml](https://github.com/idubnori/pr-agent/blob/main/pr_agent/settings/pr_reviewer_prompts.toml).
Note that you can give additional config parameters by adding environment variables to `.github/workflows/pr_agent.yml`, or by using a `.pr_agent.toml` [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/#global-configuration-file) in the root of your repo
Note that you can give additional config parameters by adding environment variables to `.github/workflows/pr_agent.yml`, or by using a `.pr_agent.toml` [configuration file](https://pr-agent-docs.codium.ai/usage-guide/configuration_options/#global-configuration-file) in the root of your repo
For example, you can set an environment variable: `pr_description.publish_labels=false`, or add a `.pr_agent.toml` file with the following content:
```toml
```
[pr_description]
publish_labels = false
```
to prevent PR-Agent from publishing labels when running the `describe` tool.
to prevent Qodo Merge from publishing labels when running the `describe` tool.
### GitLab Webhook
## GitLab Webhook
After setting up a GitLab 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
```
[gitlab]
pr_commands = [
"/describe",
"/review",
"/review --pr_reviewer.num_code_suggestions=0",
"/improve",
]
```
the GitLab webhook can also respond to new code that is pushed to an open MR.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration parameter `push_commands` defines the list of tools that will be **run automatically** when new code is pushed to the MR.
```toml
```
[gitlab]
handle_push_trigger = true
push_commands = [
"/describe",
"/review",
"/review --pr_reviewer.num_code_suggestions=0 --pr_reviewer.final_update_message=false",
]
```
Note that to use the 'handle_push_trigger' feature, you need to give the gitlab webhook also the "Push events" scope.
### BitBucket App
Similar to GitHub app, when running Qodo Merge from BitBucket App, the default [configuration file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml) from a pre-built docker will be initially loaded.
## BitBucket App
Similar to GitHub app, when running PR-Agent from BitBucket App, the default [configuration file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml) from a pre-built docker will be initially loaded.
By uploading a local `.pr_agent.toml` file to the root of the repo's main branch, you can edit and customize any configuration parameter. Note that you need to upload `.pr_agent.toml` prior to creating a PR, in order for the configuration to take effect.
For example, if your local `.pr_agent.toml` file contains:
```toml
```
[pr_reviewer]
extra_instructions = "Answer in japanese"
inline_code_comments = true
```
Each time you invoke a `/review` tool, it will use the extra instructions you set in the local configuration file.
Each time you invoke a `/review` tool, it will use inline code comments.
Note that among other limitations, BitBucket provides relatively low rate-limits for applications (up to 1000 requests per hour), and does not provide an API to track the actual rate-limit usage.
If you experience a lack of responses from Qodo Merge, you might want to set: `bitbucket_app.avoid_full_files=true` in your configuration file.
This will prevent Qodo Merge from acquiring the full file content, and will only use the diff content. This will reduce the number of requests made to BitBucket, at the cost of small decrease in accuracy, as dynamic context will not be applicable.
If you experience lack of responses from PR-Agent, you might want to set: `bitbucket_app.avoid_full_files=true` in your configuration file.
This will prevent PR-Agent from acquiring the full file content, and will only use the diff content. This will reduce the number of requests made to BitBucket, at the cost of small decrease in accuracy, as dynamic context will not be applicable.
#### BitBucket Self-Hosted App automatic tools
### BitBucket Self-Hosted App automatic tools
To control which commands will run automatically when a new PR is opened, you can set the `pr_commands` parameter in the configuration file:
Specifically, set the following values:
```toml
```
[bitbucket_app]
pr_commands = [
"/review",
"/review --pr_reviewer.num_code_suggestions=0",
"/improve --pr_code_suggestions.commitable_code_suggestions=true --pr_code_suggestions.suggestions_score_threshold=7",
]
```
Note that we set specifically for bitbucket, we recommend using: `--pr_code_suggestions.suggestions_score_threshold=7` and that is the default value we set for bitbucket.
Since this platform only supports inline code suggestions, we want to limit the number of suggestions, and only present a limited number.
To enable BitBucket app to respond to each **push** to the PR, set (for example):
```toml
[bitbucket_app]
handle_push_trigger = true
push_commands = [
"/describe",
"/review",
]
```
### Azure DevOps provider
## Azure DevOps provider
To use Azure DevOps provider use the following settings in configuration.toml:
```toml
```
[config]
git_provider="azure"
```
Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
Using DefaultAzureCredential you can use managed identity or Service principle, which are more secure and will create separate ADO user identity (via AAD) to the agent.
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
or use managed identity/az cli (for local development) without any additional configuration.
in any case, 'org' value must be assigned in .secrets.toml:
```
@ -278,10 +223,10 @@ org = "https://dev.azure.com/YOUR_ORGANIZATION/"
# pat = "YOUR_PAT_TOKEN" needed only if using PAT for authentication
```
#### Azure DevOps Webhook
### Azure DevOps Webhook
To control which commands will run automatically when a new PR is opened, you can set the `pr_commands` parameter in the configuration file, similar to the GitHub App:
```toml
```
[azure_devops_server]
pr_commands = [
"/describe",

View File

@ -5,10 +5,11 @@ To use a different model than the default (GPT-4), you need to edit in the [conf
```
[config]
model = "..."
model_turbo = "..."
fallback_models = ["..."]
```
For models and environments not from OpenAI, you might need to provide additional keys and other parameters.
For models and environments not from OpenAI, you might need to provide additional keys and other parameters.
You can give parameters via a configuration file (see below for instructions), or from environment variables. See [litellm documentation](https://litellm.vercel.app/docs/proxy/quick_start#supported-llms) for the environment variables relevant per model.
### Azure
@ -26,8 +27,9 @@ deployment_id = "" # The deployment name you chose when you deployed the engine
and set in your configuration file:
```
[config]
model="" # the OpenAI model you've deployed on Azure (e.g. gpt-4o)
fallback_models=["..."]
model="" # the OpenAI model you've deployed on Azure (e.g. gpt-3.5-turbo)
model_turbo="" # the OpenAI model you've deployed on Azure (e.g. gpt-3.5-turbo)
fallback_models=["..."] # the OpenAI model you've deployed on Azure (e.g. gpt-3.5-turbo)
```
### Hugging Face
@ -50,6 +52,7 @@ MAX_TOKENS={
[config] # in configuration.toml
model = "ollama/llama2"
model_turbo = "ollama/llama2"
fallback_models=["ollama/llama2"]
[ollama] # in .secrets.toml
@ -73,6 +76,7 @@ MAX_TOKENS={
}
[config] # in configuration.toml
model = "huggingface/meta-llama/Llama-2-7b-chat-hf"
model_turbo = "huggingface/meta-llama/Llama-2-7b-chat-hf"
fallback_models=["huggingface/meta-llama/Llama-2-7b-chat-hf"]
[huggingface] # in .secrets.toml
@ -87,6 +91,7 @@ To use Llama2 model with Replicate, for example, set:
```
[config] # in configuration.toml
model = "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1"
model_turbo = "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1"
fallback_models=["replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1"]
[replicate] # in .secrets.toml
key = ...
@ -102,7 +107,8 @@ To use Llama3 model with Groq, for example, set:
```
[config] # in configuration.toml
model = "llama3-70b-8192"
fallback_models = ["groq/llama3-70b-8192"]
model_turbo = "llama3-70b-8192"
fallback_models = ["groq/llama3-70b-8192"]
[groq] # in .secrets.toml
key = ... # your Groq api key
```
@ -112,9 +118,10 @@ key = ... # your Groq api key
To use Google's Vertex AI platform and its associated models (chat-bison/codechat-bison) set:
```
```
[config] # in configuration.toml
model = "vertex_ai/codechat-bison"
model_turbo = "vertex_ai/codechat-bison"
fallback_models="vertex_ai/codechat-bison"
[vertexai] # in .secrets.toml
@ -126,28 +133,13 @@ Your [application default credentials](https://cloud.google.com/docs/authenticat
If you do want to set explicit credentials, then you can use the `GOOGLE_APPLICATION_CREDENTIALS` environment variable set to a path to a json credentials file.
### Google AI Studio
To use [Google AI Studio](https://aistudio.google.com/) models, set the relevant models in the configuration section of the configuration file:
```toml
[config] # in configuration.toml
model="google_ai_studio/gemini-1.5-flash"
fallback_models=["google_ai_studio/gemini-1.5-flash"]
[google_ai_studio] # in .secrets.toml
gemini_api_key = "..."
```
If you don't want to set the API key in the .secrets.toml file, you can set the `GOOGLE_AI_STUDIO.GEMINI_API_KEY` environment variable.
### Anthropic
To use Anthropic models, set the relevant models in the configuration section of the configuration file:
```
[config]
model="anthropic/claude-3-opus-20240229"
model_turbo="anthropic/claude-3-opus-20240229"
fallback_models=["anthropic/claude-3-opus-20240229"]
```
@ -161,9 +153,10 @@ KEY = "..."
To use Amazon Bedrock and its foundational models, add the below configuration:
```
```
[config] # in configuration.toml
model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0"
model_turbo="bedrock/anthropic.claude-3-sonnet-20240229-v1:0"
fallback_models=["bedrock/anthropic.claude-v2:1"]
```
@ -185,6 +178,7 @@ If the relevant model doesn't appear [here](https://github.com/Codium-ai/pr-agen
```
[config]
model="custom_model_name"
model_turbo="custom_model_name"
fallback_models=["custom_model_name"]
```
(2) Set the maximal tokens for the model:

View File

@ -1,7 +1,7 @@
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)**.
The different tools and sub-tools used by CodiumAI PR-Agent are adjustable via the **[configuration file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml)**.
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.
See the [Tools Guide](https://qodo-merge-docs.qodo.ai/tools/) for a detailed description of the different tools and their configurations.
See the [Tools Guide](https://codium-ai.github.io/Docs-PR-Agent/tools/) for a detailed description of the different tools and their configurations.
There are three ways to set persistent configurations:
@ -18,9 +18,9 @@ In terms of precedence, wiki configurations will override local configurations,
## Wiki configuration file 💎
`Platforms supported: GitHub, GitLab, Bitbucket`
`Platforms supported: GitHub, GitLab`
With Qodo Merge Pro, you can set configurations by creating a page called `.pr_agent.toml` in the [wiki](https://github.com/Codium-ai/pr-agent/wiki/pr_agent.toml) of the repo.
With PR-Agent-Pro, you can set configurations by creating a page called `.pr_agent.toml` in the [wiki](https://github.com/Codium-ai/pr-agent/wiki/pr_agent.toml) of the repo.
The advantage of this method is that it allows to set configurations without needing to commit new content to the repo - just edit the wiki page and **save**.
@ -34,7 +34,7 @@ An example content:
generate_ai_title=true
```
Qodo Merge will know to remove the surrounding quotes when reading the configuration content.
PR-Agent will know to remove the surrounding quotes when reading the configuration content.
## Local configuration file

View File

@ -1,7 +1,7 @@
# Usage guide
This page provides a detailed guide on how to use Qodo Merge.
It includes information on how to adjust Qodo Merge configurations, define which tools will run automatically, and other advanced configurations.
This page provides a detailed guide on how to use PR-Agent.
It includes information on how to adjust PR-Agent configurations, define which tools will run automatically, and other advanced configurations.
- [Introduction](./introduction.md)
@ -23,4 +23,4 @@ It includes information on how to adjust Qodo Merge configurations, define which
- [Changing a model](./additional_configurations.md#changing-a-model)
- [Patch Extra Lines](./additional_configurations.md#patch-extra-lines)
- [Editing the prompts](./additional_configurations.md#editing-the-prompts)
- [Qodo Merge Pro Models](./PR_agent_pro_models.md)
- [PR-Agent Pro Models](./PR_agent_pro_models.md)

View File

@ -1,12 +1,13 @@
After [installation](https://qodo-merge-docs.qodo.ai/installation/), there are three basic ways to invoke Qodo Merge:
After [installation](https://pr-agent-docs.codium.ai/installation/), there are three basic ways to invoke CodiumAI PR-Agent:
1. Locally running a CLI command
2. Online usage - by [commenting](https://github.com/Codium-ai/pr-agent/pull/229#issuecomment-1695021901) on a PR
3. Enabling Qodo Merge tools to run automatically when a new PR is opened
3. Enabling PR-Agent tools to run automatically when a new PR is opened
Specifically, CLI commands can be issued by invoking a pre-built [docker image](https://qodo-merge-docs.qodo.ai/installation/locally/#using-docker-image), or by invoking a [locally cloned repo](https://qodo-merge-docs.qodo.ai/installation/locally/#run-from-source).
Specifically, CLI commands can be issued by invoking a pre-built [docker image](https://pr-agent-docs.codium.ai/installation/locally/#using-docker-image), or by invoking a [locally cloned repo](https://pr-agent-docs.codium.ai/installation/locally/#run-from-source).
For online usage, you will need to setup either a [GitHub App](https://pr-agent-docs.codium.ai/installation/github/#run-as-a-github-app) or a [GitHub Action](https://pr-agent-docs.codium.ai/installation/github/#run-as-a-github-action) (GitHub), a [GitLab webhook](https://pr-agent-docs.codium.ai/installation/gitlab/#run-a-gitlab-webhook-server) (GitLab), or a [BitBucket App](https://pr-agent-docs.codium.ai/installation/bitbucket/#run-using-codiumai-hosted-bitbucket-app) (BitBucket).
These platforms also enable to run PR-Agent specific tools automatically when a new PR is opened, or on each push to a branch.
For online usage, you will need to setup either a [GitHub App](https://qodo-merge-docs.qodo.ai/installation/github/#run-as-a-github-app) or a [GitHub Action](https://qodo-merge-docs.qodo.ai/installation/github/#run-as-a-github-action) (GitHub), a [GitLab webhook](https://qodo-merge-docs.qodo.ai/installation/gitlab/#run-a-gitlab-webhook-server) (GitLab), or a [BitBucket App](https://qodo-merge-docs.qodo.ai/installation/bitbucket/#run-using-codiumai-hosted-bitbucket-app) (BitBucket).
These platforms also enable to run Qodo Merge specific tools automatically when a new PR is opened, or on each push to a branch.

View File

@ -1,18 +1,18 @@
Unfortunately, it is not possible in GitHub to disable mail notifications from a specific user.
If you are subscribed to notifications for a repo with Qodo Merge, we recommend turning off notifications for PR comments, to avoid lengthy emails:
If you are subscribed to notifications for a repo with PR-Agent, we recommend turning off notifications for PR comments, to avoid lengthy emails:
![notifications](https://codium.ai/images/pr_agent/notifications.png){width=512}
As an alternative, you can filter in your mail provider the notifications specifically from the Qodo Merge bot, [see how](https://www.quora.com/How-can-you-filter-emails-for-specific-people-in-Gmail#:~:text=On%20the%20Filters%20and%20Blocked,the%20body%20of%20the%20email).
As an alternative, you can filter in your mail provider the notifications specifically from the PR-Agent bot, [see how](https://www.quora.com/How-can-you-filter-emails-for-specific-people-in-Gmail#:~:text=On%20the%20Filters%20and%20Blocked,the%20body%20of%20the%20email).
![filter_mail_notifications](https://codium.ai/images/pr_agent/filter_mail_notifications.png){width=512}
Another option to reduce the mail overload, yet still receive notifications on Qodo Merge tools, is to disable the help collapsible section in Qodo Merge bot comments.
Another option to reduce the mail overload, yet still receive notifications on PR-Agent tools, is to disable the help collapsible section in PR-Agent bot comments.
This can done by setting `enable_help_text=false` for the relevant tool in the configuration file.
For example, to disable the help text for the `pr_reviewer` tool, set:
```
[pr_reviewer]
enable_help_text = false
```
```

View File

@ -1,11 +1,11 @@
site_name: Qodo Merge (formerly known as PR-Agent)
site_name: PR-Agent Documentation
repo_url: https://github.com/Codium-ai/pr-agent
repo_name: Codium-ai/pr-agent
nav:
- Overview:
- 'index.md'
- 💎 Qodo Merge Pro: 'overview/pr_agent_pro.md'
- 💎 PR-Agent Pro: 'overview/pr_agent_pro.md'
- Data Privacy: 'overview/data_privacy.md'
- Installation:
- 'installation/index.md'
@ -14,7 +14,7 @@ nav:
- GitLab: 'installation/gitlab.md'
- BitBucket: 'installation/bitbucket.md'
- Azure DevOps: 'installation/azure.md'
- 💎 Qodo Merge Pro: 'installation/pr_agent_pro.md'
- 💎 PR-Agent Pro: 'installation/pr_agent_pro.md'
- Usage Guide:
- 'usage-guide/index.md'
- Introduction: 'usage-guide/introduction.md'
@ -23,7 +23,7 @@ nav:
- Managing Mail Notifications: 'usage-guide/mail_notifications.md'
- Changing a Model: 'usage-guide/changing_a_model.md'
- Additional Configurations: 'usage-guide/additional_configurations.md'
- 💎 Qodo Merge Pro Models: 'usage-guide/PR_agent_pro_models'
- 💎 PR-Agent Pro Models: 'usage-guide/PR_agent_pro_models'
- Tools:
- 'tools/index.md'
- Describe: 'tools/describe.md'
@ -43,7 +43,6 @@ nav:
- 💎 Similar Code: 'tools/similar_code.md'
- Core Abilities:
- 'core-abilities/index.md'
- Fetching ticket context: 'core-abilities/fetching_ticket_context.md'
- Local and global metadata: 'core-abilities/metadata.md'
- Dynamic context: 'core-abilities/dynamic_context.md'
- Self-reflection: 'core-abilities/self_reflection.md'
@ -54,7 +53,7 @@ nav:
- Static code analysis: 'core-abilities/static_code_analysis.md'
- Code Fine-tuning Benchmark: 'finetuning_benchmark/index.md'
- Chrome Extension:
- Qodo Merge Chrome Extension: 'chrome-extension/index.md'
- PR-Agent Chrome Extension: 'chrome-extension/index.md'
- Features: 'chrome-extension/features.md'
- Data Privacy: 'chrome-extension/data_privacy.md'
- FAQ:

View File

@ -2,9 +2,9 @@
{% block scripts %}
{{ super() }}
<!-- Google Tag Manager (noscript) -->
<noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5C9KZBM3"
height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>
<!-- End Google Tag Manager (noscript) -->
{% endblock %}
{% endblock %}

View File

@ -42,7 +42,7 @@
}
.social-icons svg {
width: 24px;
width: 24px;
height: auto;
fill: white;
}
@ -82,11 +82,11 @@
<footer class="wrapper">
<div class="container">
<p class="footer-text">© 2024 <a href="https://www.qodo.ai/" target="_blank" rel="noopener">Qodo</a></p>
<p class="footer-text">© 2024 <a href="https://www.codium.ai/" target="_blank" rel="noopener">CodiumAI</a></p>
<div class="footer-links">
<a href="https://qodo-gen-docs.qodo.ai/">Qodo Gen</a>
<a href="https://codiumate-docs.codium.ai/">Codiumate</a>
<p>|</p>
<a href="https://qodo-flow-docs.qodo.ai/">AlphaCodium</a>
<a href="https://alpha-codium-docs.codium.ai/">AlphaCodium</a>
</div>
<div class="social-icons">
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View File

@ -3,5 +3,5 @@
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j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
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View File

@ -0,0 +1 @@

View File

@ -3,6 +3,7 @@ from functools import partial
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAIHandler
from pr_agent.algo.utils import update_settings_from_args
from pr_agent.config_loader import get_settings
from pr_agent.git_providers.utils import apply_repo_settings

View File

@ -19,13 +19,10 @@ MAX_TOKENS = {
'gpt-4o-mini': 128000, # 128K, but may be limited by config.max_model_tokens
'gpt-4o-mini-2024-07-18': 128000, # 128K, but may be limited by config.max_model_tokens
'gpt-4o-2024-08-06': 128000, # 128K, but may be limited by config.max_model_tokens
'gpt-4o-2024-11-20': 128000, # 128K, but may be limited by config.max_model_tokens
'o1-mini': 128000, # 128K, but may be limited by config.max_model_tokens
'o1-mini-2024-09-12': 128000, # 128K, but may be limited by config.max_model_tokens
'o1-preview': 128000, # 128K, but may be limited by config.max_model_tokens
'o1-preview-2024-09-12': 128000, # 128K, but may be limited by config.max_model_tokens
'o1-2024-12-17': 204800, # 200K, but may be limited by config.max_model_tokens
'o1': 204800, # 200K, but may be limited by config.max_model_tokens
'claude-instant-1': 100000,
'claude-2': 100000,
'command-nightly': 4096,
@ -34,17 +31,12 @@ MAX_TOKENS = {
'vertex_ai/codechat-bison': 6144,
'vertex_ai/codechat-bison-32k': 32000,
'vertex_ai/claude-3-haiku@20240307': 100000,
'vertex_ai/claude-3-5-haiku@20241022': 100000,
'vertex_ai/claude-3-sonnet@20240229': 100000,
'vertex_ai/claude-3-opus@20240229': 100000,
'vertex_ai/claude-3-5-sonnet@20240620': 100000,
'vertex_ai/claude-3-5-sonnet-v2@20241022': 100000,
'vertex_ai/gemini-1.5-pro': 1048576,
'vertex_ai/gemini-1.5-flash': 1048576,
'vertex_ai/gemma2': 8200,
'gemini/gemini-1.5-pro': 1048576,
'gemini/gemini-1.5-flash': 1048576,
'gemini/gemini-2.0-flash-exp': 1048576,
'codechat-bison': 6144,
'codechat-bison-32k': 32000,
'anthropic.claude-instant-v1': 100000,
@ -52,16 +44,12 @@ MAX_TOKENS = {
'anthropic.claude-v2': 100000,
'anthropic/claude-3-opus-20240229': 100000,
'anthropic/claude-3-5-sonnet-20240620': 100000,
'anthropic/claude-3-5-sonnet-20241022': 100000,
'anthropic/claude-3-5-haiku-20241022': 100000,
'bedrock/anthropic.claude-instant-v1': 100000,
'bedrock/anthropic.claude-v2': 100000,
'bedrock/anthropic.claude-v2:1': 100000,
'bedrock/anthropic.claude-3-sonnet-20240229-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-sonnet-20240620-v1:0': 100000,
'bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0': 100000,
'claude-3-5-sonnet': 100000,
'groq/llama3-8b-8192': 8192,
'groq/llama3-70b-8192': 8192,

View File

@ -3,7 +3,7 @@ from abc import ABC, abstractmethod
class BaseAiHandler(ABC):
"""
This class defines the interface for an AI handler to be used by the PR Agents.
This class defines the interface for an AI handler to be used by the PR Agents.
"""
@abstractmethod
@ -23,6 +23,6 @@ class BaseAiHandler(ABC):
model (str): the name of the model to use for the chat completion
system (str): the system message string to use for the chat completion
user (str): the user message string to use for the chat completion
temperature (float): the temperature to use for the chat completion
temperature (float): the temperature to use for the chat completion
"""
pass

View File

@ -1,18 +1,17 @@
try:
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_openai import AzureChatOpenAI, ChatOpenAI
from langchain_openai import ChatOpenAI, AzureChatOpenAI
from langchain_core.messages import SystemMessage, HumanMessage
except: # we don't enforce langchain as a dependency, so if it's not installed, just move on
pass
import functools
from openai import APIError, RateLimitError, Timeout
from retry import retry
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger
from openai import APIError, RateLimitError, Timeout
from retry import retry
import functools
OPENAI_RETRIES = 5
@ -74,3 +73,4 @@ class LangChainOpenAIHandler(BaseAiHandler):
raise ValueError(f"OpenAI {e.name} is required") from e
else:
raise e

View File

@ -1,13 +1,11 @@
import os
import requests
import litellm
import openai
import requests
from litellm import acompletion
from tenacity import retry, retry_if_exception_type, stop_after_attempt
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.algo.utils import get_version
from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger
@ -85,11 +83,6 @@ class LiteLLMAIHandler(BaseAiHandler):
litellm.vertex_location = get_settings().get(
"VERTEXAI.VERTEX_LOCATION", None
)
# Google AI Studio
# SEE https://docs.litellm.ai/docs/providers/gemini
if get_settings().get("GOOGLE_AI_STUDIO.GEMINI_API_KEY", None):
os.environ["GEMINI_API_KEY"] = get_settings().google_ai_studio.gemini_api_key
def prepare_logs(self, response, system, user, resp, finish_reason):
response_log = response.dict().copy()
response_log['system'] = system
@ -133,7 +126,7 @@ class LiteLLMAIHandler(BaseAiHandler):
if "langfuse" in callbacks:
metadata.update({
"trace_name": command,
"tags": [git_provider, command, f'version:{get_version()}'],
"tags": [git_provider, command],
"trace_metadata": {
"command": command,
"pr_url": pr_url,
@ -142,7 +135,7 @@ class LiteLLMAIHandler(BaseAiHandler):
if "langsmith" in callbacks:
metadata.update({
"run_name": command,
"tags": [git_provider, command, f'version:{get_version()}'],
"tags": [git_provider, command],
"extra": {
"metadata": {
"command": command,
@ -178,7 +171,6 @@ class LiteLLMAIHandler(BaseAiHandler):
get_logger().warning(
"Empty system prompt for claude model. Adding a newline character to prevent OpenAI API error.")
messages = [{"role": "system", "content": system}, {"role": "user", "content": user}]
if img_path:
try:
# check if the image link is alive
@ -193,30 +185,14 @@ class LiteLLMAIHandler(BaseAiHandler):
messages[1]["content"] = [{"type": "text", "text": messages[1]["content"]},
{"type": "image_url", "image_url": {"url": img_path}}]
# Currently, model OpenAI o1 series does not support a separate system and user prompts
O1_MODEL_PREFIX = 'o1'
model_type = model.split('/')[-1] if '/' in model else model
if model_type.startswith(O1_MODEL_PREFIX):
user = f"{system}\n\n\n{user}"
system = ""
get_logger().info(f"Using O1 model, combining system and user prompts")
messages = [{"role": "user", "content": user}]
kwargs = {
"model": model,
"deployment_id": deployment_id,
"messages": messages,
"timeout": get_settings().config.ai_timeout,
"api_base": self.api_base,
}
else:
kwargs = {
"model": model,
"deployment_id": deployment_id,
"messages": messages,
"temperature": temperature,
"timeout": get_settings().config.ai_timeout,
"api_base": self.api_base,
}
kwargs = {
"model": model,
"deployment_id": deployment_id,
"messages": messages,
"temperature": temperature,
"timeout": get_settings().config.ai_timeout,
"api_base": self.api_base,
}
if get_settings().litellm.get("enable_callbacks", False):
kwargs = self.add_litellm_callbacks(kwargs)

View File

@ -1,10 +1,8 @@
from os import environ
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
import openai
from openai import APIError, AsyncOpenAI, RateLimitError, Timeout
from openai.error import APIError, RateLimitError, Timeout, TryAgain
from retry import retry
from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger
@ -16,7 +14,7 @@ class OpenAIHandler(BaseAiHandler):
# Initialize OpenAIHandler specific attributes here
try:
super().__init__()
environ["OPENAI_API_KEY"] = get_settings().openai.key
openai.api_key = get_settings().openai.key
if get_settings().get("OPENAI.ORG", None):
openai.organization = get_settings().openai.org
if get_settings().get("OPENAI.API_TYPE", None):
@ -26,7 +24,7 @@ class OpenAIHandler(BaseAiHandler):
if get_settings().get("OPENAI.API_VERSION", None):
openai.api_version = get_settings().openai.api_version
if get_settings().get("OPENAI.API_BASE", None):
environ["OPENAI_BASE_URL"] = get_settings().openai.api_base
openai.api_base = get_settings().openai.api_base
except AttributeError as e:
raise ValueError("OpenAI key is required") from e
@ -38,26 +36,28 @@ class OpenAIHandler(BaseAiHandler):
"""
return get_settings().get("OPENAI.DEPLOYMENT_ID", None)
@retry(exceptions=(APIError, Timeout, AttributeError, RateLimitError),
@retry(exceptions=(APIError, Timeout, TryAgain, 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:
deployment_id = self.deployment_id
get_logger().info("System: ", system)
get_logger().info("User: ", user)
messages = [{"role": "system", "content": system}, {"role": "user", "content": user}]
client = AsyncOpenAI()
chat_completion = await client.chat.completions.create(
chat_completion = await openai.ChatCompletion.acreate(
model=model,
deployment_id=deployment_id,
messages=messages,
temperature=temperature,
)
resp = chat_completion.choices[0].message.content
finish_reason = chat_completion.choices[0].finish_reason
usage = chat_completion.usage
resp = chat_completion["choices"][0]['message']['content']
finish_reason = chat_completion["choices"][0]["finish_reason"]
usage = chat_completion.get("usage")
get_logger().info("AI response", response=resp, messages=messages, finish_reason=finish_reason,
model=model, usage=usage)
return resp, finish_reason
except (APIError, Timeout) as e:
except (APIError, Timeout, TryAgain) as e:
get_logger().error("Error during OpenAI inference: ", e)
raise
except (RateLimitError) as e:
@ -65,4 +65,4 @@ class OpenAIHandler(BaseAiHandler):
raise
except (Exception) as e:
get_logger().error("Unknown error during OpenAI inference: ", e)
raise
raise TryAgain from e

View File

@ -3,8 +3,8 @@ from __future__ import annotations
import re
import traceback
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.config_loader import get_settings
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.log import get_logger
@ -31,7 +31,7 @@ def extend_patch(original_file_str, patch_str, patch_extra_lines_before=0,
def decode_if_bytes(original_file_str):
if isinstance(original_file_str, (bytes, bytearray)):
if isinstance(original_file_str, bytes):
try:
return original_file_str.decode('utf-8')
except UnicodeDecodeError:
@ -61,26 +61,23 @@ def process_patch_lines(patch_str, original_file_str, patch_extra_lines_before,
patch_lines = patch_str.splitlines()
extended_patch_lines = []
is_valid_hunk = True
start1, size1, start2, size2 = -1, -1, -1, -1
RE_HUNK_HEADER = re.compile(
r"^@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))? @@[ ]?(.*)")
try:
for i,line in enumerate(patch_lines):
for line in patch_lines:
if line.startswith('@@'):
match = RE_HUNK_HEADER.match(line)
# identify hunk header
if match:
# finish processing previous hunk
if is_valid_hunk and (start1 != -1 and patch_extra_lines_after > 0):
if start1 != -1 and patch_extra_lines_after > 0:
delta_lines = [f' {line}' for line in original_lines[start1 + size1 - 1:start1 + size1 - 1 + patch_extra_lines_after]]
extended_patch_lines.extend(delta_lines)
section_header, size1, size2, start1, start2 = extract_hunk_headers(match)
is_valid_hunk = check_if_hunk_lines_matches_to_file(i, original_lines, patch_lines, start1)
if is_valid_hunk and (patch_extra_lines_before > 0 or patch_extra_lines_after > 0):
if patch_extra_lines_before > 0 or patch_extra_lines_after > 0:
def _calc_context_limits(patch_lines_before):
extended_start1 = max(1, start1 - patch_lines_before)
extended_size1 = size1 + (start1 - extended_start1) + patch_extra_lines_after
@ -104,11 +101,11 @@ def process_patch_lines(patch_str, original_file_str, patch_extra_lines_before,
# Update start and size in one line each
extended_start1, extended_start2 = extended_start1 + i, extended_start2 + i
extended_size1, extended_size2 = extended_size1 - i, extended_size2 - i
# get_logger().debug(f"Found section header in line {i} before the hunk")
get_logger().debug(f"Found section header in line {i} before the hunk")
section_header = ''
break
if not found_header:
# get_logger().debug(f"Section header not found in the extra lines before the hunk")
get_logger().debug(f"Section header not found in the extra lines before the hunk")
extended_start1, extended_size1, extended_start2, extended_size2 = \
_calc_context_limits(patch_extra_lines_before)
else:
@ -141,7 +138,7 @@ def process_patch_lines(patch_str, original_file_str, patch_extra_lines_before,
return patch_str
# finish processing last hunk
if start1 != -1 and patch_extra_lines_after > 0 and is_valid_hunk:
if start1 != -1 and patch_extra_lines_after > 0:
delta_lines = original_lines[start1 + size1 - 1:start1 + size1 - 1 + patch_extra_lines_after]
# add space at the beginning of each extra line
delta_lines = [f' {line}' for line in delta_lines]
@ -151,23 +148,6 @@ def process_patch_lines(patch_str, original_file_str, patch_extra_lines_before,
return extended_patch_str
def check_if_hunk_lines_matches_to_file(i, original_lines, patch_lines, start1):
"""
Check if the hunk lines match the original file content. We saw cases where the hunk header line doesn't match the original file content, and then
extending the hunk with extra lines before the hunk header can cause the hunk to be invalid.
"""
is_valid_hunk = True
try:
if i + 1 < len(patch_lines) and patch_lines[i + 1][0] == ' ': # an existing line in the file
if patch_lines[i + 1].strip() != original_lines[start1 - 1].strip():
is_valid_hunk = False
get_logger().error(
f"Invalid hunk in PR, line {start1} in hunk header doesn't match the original file content")
except:
pass
return is_valid_hunk
def extract_hunk_headers(match):
res = list(match.groups())
for i in range(len(res)):
@ -301,7 +281,7 @@ __old hunk__
prev_header_line = []
header_line = []
for line_i, line in enumerate(patch_lines):
if 'no newline at end of file' in line.lower():
if 'no newline at end of file' in line.lower().strip().strip('//'):
continue
if line.startswith('@@'):
@ -310,19 +290,18 @@ __old hunk__
if match and (new_content_lines or old_content_lines): # found a new hunk, split the previous lines
if prev_header_line:
patch_with_lines_str += f'\n{prev_header_line}\n'
is_plus_lines = is_minus_lines = False
if new_content_lines:
is_plus_lines = any([line.startswith('+') for line in new_content_lines])
if is_plus_lines:
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__new hunk__\n'
for i, line_new in enumerate(new_content_lines):
patch_with_lines_str += f"{start2 + i} {line_new}\n"
if old_content_lines:
is_minus_lines = any([line.startswith('-') for line in old_content_lines])
if is_plus_lines or is_minus_lines: # notice 'True' here - we always present __new hunk__ for section, otherwise LLM gets confused
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__new hunk__\n'
for i, line_new in enumerate(new_content_lines):
patch_with_lines_str += f"{start2 + i} {line_new}\n"
if is_minus_lines:
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__old hunk__\n'
for line_old in old_content_lines:
patch_with_lines_str += f"{line_old}\n"
if is_minus_lines:
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__old hunk__\n'
for line_old in old_content_lines:
patch_with_lines_str += f"{line_old}\n"
new_content_lines = []
old_content_lines = []
if match:
@ -346,19 +325,18 @@ __old hunk__
# finishing last hunk
if match and new_content_lines:
patch_with_lines_str += f'\n{header_line}\n'
is_plus_lines = is_minus_lines = False
if new_content_lines:
is_plus_lines = any([line.startswith('+') for line in new_content_lines])
if is_plus_lines:
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__new hunk__\n'
for i, line_new in enumerate(new_content_lines):
patch_with_lines_str += f"{start2 + i} {line_new}\n"
if old_content_lines:
is_minus_lines = any([line.startswith('-') for line in old_content_lines])
if is_plus_lines or is_minus_lines: # notice 'True' here - we always present __new hunk__ for section, otherwise LLM gets confused
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__new hunk__\n'
for i, line_new in enumerate(new_content_lines):
patch_with_lines_str += f"{start2 + i} {line_new}\n"
if is_minus_lines:
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__old hunk__\n'
for line_old in old_content_lines:
patch_with_lines_str += f"{line_old}\n"
if is_minus_lines:
patch_with_lines_str = patch_with_lines_str.rstrip() + '\n__old hunk__\n'
for line_old in old_content_lines:
patch_with_lines_str += f"{line_old}\n"
return patch_with_lines_str.rstrip()
@ -408,4 +386,4 @@ def extract_hunk_lines_from_patch(patch: str, file_name, line_start, line_end, s
if not line.startswith('-'): # currently we don't support /ask line for deleted lines
selected_lines_num += 1
return patch_with_lines_str.rstrip(), selected_lines.rstrip()
return patch_with_lines_str.rstrip(), selected_lines.rstrip()

View File

@ -4,6 +4,8 @@ from typing import Dict
from pr_agent.config_loader import get_settings
def filter_bad_extensions(files):
# Bad Extensions, source: https://github.com/EleutherAI/github-downloader/blob/345e7c4cbb9e0dc8a0615fd995a08bf9d73b3fe6/download_repo_text.py # noqa: E501
bad_extensions = get_settings().bad_extensions.default

View File

@ -5,15 +5,14 @@ from typing import Callable, List, Tuple
from github import RateLimitExceededException
from pr_agent.algo.file_filter import filter_ignored
from pr_agent.algo.git_patch_processing import (
convert_to_hunks_with_lines_numbers, extend_patch, handle_patch_deletions)
from pr_agent.algo.git_patch_processing import convert_to_hunks_with_lines_numbers, extend_patch, handle_patch_deletions
from pr_agent.algo.language_handler import sort_files_by_main_languages
from pr_agent.algo.file_filter import filter_ignored
from pr_agent.algo.token_handler import TokenHandler
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.algo.utils import ModelType, clip_tokens, get_max_tokens, get_weak_model
from pr_agent.algo.utils import get_max_tokens, clip_tokens, ModelType
from pr_agent.config_loader import get_settings
from pr_agent.git_providers.git_provider import GitProvider
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.log import get_logger
DELETED_FILES_ = "Deleted files:\n"
@ -354,8 +353,8 @@ async def retry_with_fallback_models(f: Callable, model_type: ModelType = ModelT
def _get_all_models(model_type: ModelType = ModelType.REGULAR) -> List[str]:
if model_type == ModelType.WEAK:
model = get_weak_model()
if model_type == ModelType.TURBO:
model = get_settings().config.model_turbo
else:
model = get_settings().config.model
fallback_models = get_settings().config.fallback_models

View File

@ -1,9 +1,8 @@
from threading import Lock
from jinja2 import Environment, StrictUndefined
from tiktoken import encoding_for_model, get_encoding
from pr_agent.config_loader import get_settings
from threading import Lock
from pr_agent.log import get_logger
@ -86,4 +85,4 @@ class TokenHandler:
Returns:
The number of tokens in the patch string.
"""
return len(self.encoder.encode(patch, disallowed_special=()))
return len(self.encoder.encode(patch, disallowed_special=()))

View File

@ -1,40 +1,28 @@
from __future__ import annotations
import html2text
import html
import copy
import difflib
import hashlib
import html
import json
import os
import re
import sys
import textwrap
import time
import traceback
from datetime import datetime
from enum import Enum
from importlib.metadata import PackageNotFoundError, version
from typing import Any, List, Tuple
import html2text
import requests
import yaml
from pydantic import BaseModel
from starlette_context import context
from pr_agent.algo import MAX_TOKENS
from pr_agent.algo.token_handler import TokenEncoder
from pr_agent.algo.types import FilePatchInfo
from pr_agent.config_loader import get_settings, global_settings
from pr_agent.algo.types import FilePatchInfo
from pr_agent.log import get_logger
def get_weak_model() -> str:
if get_settings().get("config.model_weak"):
return get_settings().config.model_weak
return get_settings().config.model
class Range(BaseModel):
line_start: int # should be 0-indexed
line_end: int
@ -43,17 +31,14 @@ class Range(BaseModel):
class ModelType(str, Enum):
REGULAR = "regular"
WEAK = "weak"
TURBO = "turbo"
class PRReviewHeader(str, Enum):
REGULAR = "## PR Reviewer Guide"
INCREMENTAL = "## Incremental PR Reviewer Guide"
class PRDescriptionHeader(str, Enum):
CHANGES_WALKTHROUGH = "### **Changes walkthrough** 📝"
def get_setting(key: str) -> Any:
try:
key = key.upper()
@ -104,8 +89,7 @@ def unique_strings(input_list: List[str]) -> List[str]:
def convert_to_markdown_v2(output_data: dict,
gfm_supported: bool = True,
incremental_review=None,
git_provider=None,
files=None) -> str:
git_provider=None) -> str:
"""
Convert a dictionary of data into markdown format.
Args:
@ -116,8 +100,8 @@ def convert_to_markdown_v2(output_data: dict,
emojis = {
"Can be split": "🔀",
"Possible issues": "",
"Key issues to review": "",
"Recommended focus areas for review": "",
"Score": "🏅",
"Relevant tests": "🧪",
"Focused PR": "",
@ -126,7 +110,6 @@ def convert_to_markdown_v2(output_data: dict,
"Insights from user's answers": "📝",
"Code feedback": "🤖",
"Estimated effort to review [1-5]": "⏱️",
"Ticket compliance check": "🎫",
}
markdown_text = ""
if not incremental_review:
@ -137,9 +120,6 @@ def convert_to_markdown_v2(output_data: dict,
if not output_data or not output_data.get('review', {}):
return ""
if get_settings().get("pr_reviewer.enable_intro_text", False):
markdown_text += f"Here are some key observations to aid the review process:\n\n"
if gfm_supported:
markdown_text += "<table>\n"
@ -181,9 +161,7 @@ def convert_to_markdown_v2(output_data: dict,
if is_value_no(value):
markdown_text += f'### {emoji} No relevant tests\n\n'
else:
markdown_text += f"### {emoji} PR contains tests\n\n"
elif 'ticket compliance check' in key_nice.lower():
markdown_text = ticket_markdown_logic(emoji, markdown_text, value, gfm_supported)
markdown_text += f"### PR contains tests\n\n"
elif 'security concerns' in key_nice.lower():
if gfm_supported:
markdown_text += f"<tr><td>"
@ -211,52 +189,38 @@ def convert_to_markdown_v2(output_data: dict,
if is_value_no(value):
if gfm_supported:
markdown_text += f"<tr><td>"
markdown_text += f"{emoji}&nbsp;<strong>No major issues detected</strong>"
markdown_text += f"{emoji}&nbsp;<strong>No key issues to review</strong>"
markdown_text += f"</td></tr>\n"
else:
markdown_text += f"### {emoji} No major issues detected\n\n"
markdown_text += f"### {emoji} No key issues to review\n\n"
else:
issues = value
# issues = value.split('\n- ')
issues =value
# for i, _ in enumerate(issues):
# issues[i] = issues[i].strip().strip('-').strip()
if gfm_supported:
markdown_text += f"<tr><td>"
# markdown_text += f"{emoji}&nbsp;<strong>{key_nice}</strong><br><br>\n\n"
markdown_text += f"{emoji}&nbsp;<strong>Recommended focus areas for review</strong><br><br>\n\n"
markdown_text += f"{emoji}&nbsp;<strong>{key_nice}</strong><br><br>\n\n"
else:
markdown_text += f"### {emoji} Recommended focus areas for review\n\n#### \n"
markdown_text += f"### {emoji} Key issues to review\n\n#### \n"
for i, issue in enumerate(issues):
try:
if not issue or not isinstance(issue, dict):
if not issue:
continue
relevant_file = issue.get('relevant_file', '').strip()
issue_header = issue.get('issue_header', '').strip()
if issue_header.lower() == 'possible bug':
issue_header = 'Possible Issue' # Make the header less frightening
issue_content = issue.get('issue_content', '').strip()
start_line = int(str(issue.get('start_line', 0)).strip())
end_line = int(str(issue.get('end_line', 0)).strip())
relevant_lines_str = extract_relevant_lines_str(end_line, files, relevant_file, start_line)
if git_provider:
reference_link = git_provider.get_line_link(relevant_file, start_line, end_line)
else:
reference_link = None
reference_link = git_provider.get_line_link(relevant_file, start_line, end_line)
if gfm_supported:
if reference_link is not None and len(reference_link) > 0:
if relevant_lines_str:
issue_str = f"<details><summary><a href='{reference_link}'><strong>{issue_header}</strong></a>\n\n{issue_content}</summary>\n\n{relevant_lines_str}\n\n</details>"
else:
issue_str = f"<a href='{reference_link}'><strong>{issue_header}</strong></a><br>{issue_content}"
else:
issue_str = f"<strong>{issue_header}</strong><br>{issue_content}"
issue_str = f"<a href='{reference_link}'><strong>{issue_header}</strong></a><br>{issue_content}"
else:
if reference_link is not None and len(reference_link) > 0:
issue_str = f"[**{issue_header}**]({reference_link})\n\n{issue_content}\n\n"
else:
issue_str = f"**{issue_header}**\n\n{issue_content}\n\n"
issue_str = f"[**{issue_header}**]({reference_link})\n\n{issue_content}\n\n"
markdown_text += f"{issue_str}\n\n"
except Exception as e:
get_logger().exception(f"Failed to process 'Recommended focus areas for review': {e}")
get_logger().exception(f"Failed to process key issues to review: {e}")
if gfm_supported:
markdown_text += f"</td></tr>\n"
else:
@ -288,71 +252,6 @@ def convert_to_markdown_v2(output_data: dict,
return markdown_text
def extract_relevant_lines_str(end_line, files, relevant_file, start_line):
try:
relevant_lines_str = ""
if files:
files = set_file_languages(files)
for file in files:
if file.filename.strip() == relevant_file:
if not file.head_file:
get_logger().warning(f"No content found in file: {file.filename}")
return ""
relevant_file_lines = file.head_file.splitlines()
relevant_lines_str = "\n".join(relevant_file_lines[start_line - 1:end_line])
relevant_lines_str = f"```{file.language}\n{relevant_lines_str}\n```"
break
return relevant_lines_str
except Exception as e:
get_logger().exception(f"Failed to extract relevant lines: {e}")
return ""
def ticket_markdown_logic(emoji, markdown_text, value, gfm_supported) -> str:
ticket_compliance_str = ""
final_compliance_level = -1
if isinstance(value, list):
for v in value:
ticket_url = v.get('ticket_url', '').strip()
compliance_level = v.get('overall_compliance_level', '').strip()
# add emojis, if 'Fully compliant' ✅, 'Partially compliant' 🔶, or 'Not compliant' ❌
if compliance_level.lower() == 'fully compliant':
# compliance_level = '✅ Fully compliant'
final_compliance_level = 2 if final_compliance_level == -1 else 1
elif compliance_level.lower() == 'partially compliant':
# compliance_level = '🔶 Partially compliant'
final_compliance_level = 1
elif compliance_level.lower() == 'not compliant':
# compliance_level = '❌ Not compliant'
final_compliance_level = 0 if final_compliance_level < 1 else 1
# explanation = v.get('compliance_analysis', '').strip()
explanation = ''
fully_compliant_str = v.get('fully_compliant_requirements', '').strip()
not_compliant_str = v.get('not_compliant_requirements', '').strip()
if fully_compliant_str:
explanation += f"Fully compliant requirements:\n{fully_compliant_str}\n\n"
if not_compliant_str:
explanation += f"Not compliant requirements:\n{not_compliant_str}\n\n"
ticket_compliance_str += f"\n\n**[{ticket_url.split('/')[-1]}]({ticket_url}) - {compliance_level}**\n\n{explanation}\n\n"
if final_compliance_level == 2:
compliance_level = ''
elif final_compliance_level == 1:
compliance_level = '🔶'
else:
compliance_level = ''
if gfm_supported:
markdown_text += f"<tr><td>\n\n"
markdown_text += f"**{emoji} Ticket compliance analysis {compliance_level}**\n\n"
markdown_text += ticket_compliance_str
markdown_text += f"</td></tr>\n"
else:
markdown_text += f"### {emoji} Ticket compliance analysis {compliance_level}\n\n"
markdown_text += ticket_compliance_str+"\n\n"
return markdown_text
def process_can_be_split(emoji, value):
try:
@ -654,8 +553,7 @@ def load_yaml(response_text: str, keys_fix_yaml: List[str] = [], first_key="", l
get_logger().warning(f"Initial failure to parse AI prediction: {e}")
data = try_fix_yaml(response_text, keys_fix_yaml=keys_fix_yaml, first_key=first_key, last_key=last_key)
if not data:
get_logger().error(f"Failed to parse AI prediction after fallbacks",
artifact={'response_text': response_text})
get_logger().error(f"Failed to parse AI prediction after fallbacks", artifact={'response_text': response_text})
else:
get_logger().info(f"Successfully parsed AI prediction after fallbacks",
artifact={'response_text': response_text})
@ -942,64 +840,56 @@ def find_line_number_of_relevant_line_in_file(diff_files: List[FilePatchInfo],
break
return position, absolute_position
def get_rate_limit_status(github_token) -> dict:
GITHUB_API_URL = get_settings(use_context=False).get("GITHUB.BASE_URL", "https://api.github.com").rstrip("/") # "https://api.github.com"
# GITHUB_API_URL = "https://api.github.com"
RATE_LIMIT_URL = f"{GITHUB_API_URL}/rate_limit"
HEADERS = {
"Accept": "application/vnd.github.v3+json",
"Authorization": f"token {github_token}"
}
def validate_and_await_rate_limit(rate_limit_status=None, git_provider=None, get_rate_limit_status_func=None):
if git_provider and not rate_limit_status:
rate_limit_status = {'resources': git_provider.github_client.get_rate_limit().raw_data}
response = requests.get(RATE_LIMIT_URL, headers=HEADERS)
try:
rate_limit_info = response.json()
if rate_limit_info.get('message') == 'Rate limiting is not enabled.': # for github enterprise
return {'resources': {}}
response.raise_for_status() # Check for HTTP errors
except: # retry
time.sleep(0.1)
response = requests.get(RATE_LIMIT_URL, headers=HEADERS)
return response.json()
return rate_limit_info
def validate_rate_limit_github(github_token, installation_id=None, threshold=0.1) -> bool:
try:
rate_limit_status = get_rate_limit_status(github_token)
if installation_id:
get_logger().debug(f"installation_id: {installation_id}, Rate limit status: {rate_limit_status['rate']}")
if not rate_limit_status:
rate_limit_status = get_rate_limit_status_func()
# validate that the rate limit is not exceeded
# validate that the rate limit is not exceeded
for key, value in rate_limit_status['resources'].items():
if value['remaining'] < value['limit'] * threshold:
get_logger().error(f"key: {key}, value: {value}")
return False
return True
except Exception as e:
get_logger().error(f"Error in rate limit {e}",
artifact={"traceback": traceback.format_exc()})
return True
is_rate_limit = False
for key, value in rate_limit_status['resources'].items():
if value['remaining'] == 0:
print(f"key: {key}, value: {value}")
is_rate_limit = True
sleep_time_sec = value['reset'] - datetime.now().timestamp()
sleep_time_hour = sleep_time_sec / 3600.0
print(f"Rate limit exceeded. Sleeping for {sleep_time_hour} hours")
if sleep_time_sec > 0:
time.sleep(sleep_time_sec+1)
if git_provider:
rate_limit_status = {'resources': git_provider.github_client.get_rate_limit().raw_data}
else:
rate_limit_status = get_rate_limit_status_func()
return is_rate_limit
def validate_and_await_rate_limit(github_token):
try:
rate_limit_status = get_rate_limit_status(github_token)
# validate that the rate limit is not exceeded
for key, value in rate_limit_status['resources'].items():
if value['remaining'] < value['limit'] // 80:
get_logger().error(f"key: {key}, value: {value}")
sleep_time_sec = value['reset'] - datetime.now().timestamp()
sleep_time_hour = sleep_time_sec / 3600.0
get_logger().error(f"Rate limit exceeded. Sleeping for {sleep_time_hour} hours")
if sleep_time_sec > 0:
time.sleep(sleep_time_sec + 1)
rate_limit_status = get_rate_limit_status(github_token)
return rate_limit_status
except:
get_logger().error("Error in rate limit")
return None
def get_largest_component(pr_url):
from pr_agent.tools.pr_analyzer import PRAnalyzer
publish_output = get_settings().config.publish_output
get_settings().config.publish_output = False # disable publish output
analyzer = PRAnalyzer(pr_url)
methods_dict_files = analyzer.run_sync()
get_settings().config.publish_output = publish_output
max_lines_changed = 0
file_b = ""
component_name_b = ""
for file in methods_dict_files:
for method in methods_dict_files[file]:
try:
if methods_dict_files[file][method]['num_plus_lines'] > max_lines_changed:
max_lines_changed = methods_dict_files[file][method]['num_plus_lines']
file_b = file
component_name_b = method
except:
pass
if component_name_b:
get_logger().info(f"Using the largest changed component: '{component_name_b}'")
return component_name_b, file_b
else:
return None, None
def github_action_output(output_data: dict, key_name: str):
try:
@ -1015,7 +905,7 @@ def github_action_output(output_data: dict, key_name: str):
def show_relevant_configurations(relevant_section: str) -> str:
skip_keys = ['ai_disclaimer', 'ai_disclaimer_title', 'ANALYTICS_FOLDER', 'secret_provider', "skip_keys", "app_id", "redirect",
skip_keys = ['ai_disclaimer', 'ai_disclaimer_title', 'ANALYTICS_FOLDER', 'secret_provider', "skip_keys",
'trial_prefix_message', 'no_eligible_message', 'identity_provider', 'ALLOWED_REPOS','APP_NAME']
extra_skip_keys = get_settings().config.get('config.skip_keys', [])
if extra_skip_keys:
@ -1048,30 +938,12 @@ def is_value_no(value):
return False
def set_pr_string(repo_name, pr_number):
return f"{repo_name}#{pr_number}"
def string_to_uniform_number(s: str) -> float:
"""
Convert a string to a uniform number in the range [0, 1].
The uniform distribution is achieved by the nature of the SHA-256 hash function, which produces a uniformly distributed hash value over its output space.
"""
# Generate a hash of the string
hash_object = hashlib.sha256(s.encode())
# Convert the hash to an integer
hash_int = int(hash_object.hexdigest(), 16)
# Normalize the integer to the range [0, 1]
max_hash_int = 2 ** 256 - 1
uniform_number = float(hash_int) / max_hash_int
return uniform_number
def process_description(description_full: str) -> Tuple[str, List]:
if not description_full:
return "", []
description_split = description_full.split(PRDescriptionHeader.CHANGES_WALKTHROUGH.value)
split_str = "### **Changes walkthrough** 📝"
description_split = description_full.split(split_str)
base_description_str = description_split[0]
changes_walkthrough_str = ""
files = []
@ -1106,9 +978,6 @@ def process_description(description_full: str) -> Tuple[str, List]:
if not res or res.lastindex != 4:
pattern_back = r'<details>\s*<summary><strong>(.*?)</strong><dd><code>(.*?)</code>.*?</summary>\s*<hr>\s*(.*?)\n\n\s*(.*?)</details>'
res = re.search(pattern_back, file_data, re.DOTALL)
if not res or res.lastindex != 4:
pattern_back = r'<details>\s*<summary><strong>(.*?)</strong>\s*<dd><code>(.*?)</code>.*?</summary>\s*<hr>\s*(.*?)\s*-\s*(.*?)\s*</details>' # looking for hypen ('- ')
res = re.search(pattern_back, file_data, re.DOTALL)
if res and res.lastindex == 4:
short_filename = res.group(1).strip()
short_summary = res.group(2).strip()
@ -1128,10 +997,7 @@ def process_description(description_full: str) -> Tuple[str, List]:
'long_summary': long_summary
})
else:
if '<code>...</code>' in file_data:
pass # PR with many files. some did not get analyzed
else:
get_logger().error(f"Failed to parse description", artifact={'description': file_data})
get_logger().error(f"Failed to parse description", artifact={'description': file_data})
except Exception as e:
get_logger().exception(f"Failed to process description: {e}", artifact={'description': file_data})
@ -1140,48 +1006,3 @@ def process_description(description_full: str) -> Tuple[str, List]:
get_logger().exception(f"Failed to process description: {e}")
return base_description_str, files
def get_version() -> str:
# First check pyproject.toml if running directly out of repository
if os.path.exists("pyproject.toml"):
if sys.version_info >= (3, 11):
import tomllib
with open("pyproject.toml", "rb") as f:
data = tomllib.load(f)
if "project" in data and "version" in data["project"]:
return data["project"]["version"]
else:
get_logger().warning("Version not found in pyproject.toml")
else:
get_logger().warning("Unable to determine local version from pyproject.toml")
# Otherwise get the installed pip package version
try:
return version('pr-agent')
except PackageNotFoundError:
get_logger().warning("Unable to find package named 'pr-agent'")
return "unknown"
def set_file_languages(diff_files) -> List[FilePatchInfo]:
try:
# if the language is already set, do not change it
if hasattr(diff_files[0], 'language') and diff_files[0].language:
return diff_files
# map file extensions to programming languages
language_extension_map_org = get_settings().language_extension_map_org
extension_to_language = {}
for language, extensions in language_extension_map_org.items():
for ext in extensions:
extension_to_language[ext] = language
for file in diff_files:
extension_s = '.' + file.filename.rsplit('.')[-1]
language_name = "txt"
if extension_s and (extension_s in extension_to_language):
language_name = extension_to_language[extension_s]
file.language = language_name.lower()
except Exception as e:
get_logger().exception(f"Failed to set file languages: {e}")
return diff_files

View File

@ -3,9 +3,8 @@ import asyncio
import os
from pr_agent.agent.pr_agent import PRAgent, commands
from pr_agent.algo.utils import get_version
from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger, setup_logger
from pr_agent.log import setup_logger, get_logger
log_level = os.environ.get("LOG_LEVEL", "INFO")
setup_logger(log_level)
@ -46,7 +45,6 @@ def set_parser():
To edit any configuration parameter from 'configuration.toml', just add -config_path=<value>.
For example: 'python cli.py --pr_url=... review --pr_reviewer.extra_instructions="focus on the file: ..."'
""")
parser.add_argument('--version', action='version', version=f'pr-agent {get_version()}')
parser.add_argument('--pr_url', type=str, help='The URL of the PR to review', default=None)
parser.add_argument('--issue_url', type=str, help='The URL of the Issue to review', default=None)
parser.add_argument('command', type=str, help='The', choices=commands, default='review')

View File

@ -27,9 +27,8 @@ global_settings = Dynaconf(
"settings/pr_update_changelog_prompts.toml",
"settings/pr_custom_labels.toml",
"settings/pr_add_docs.toml",
"settings/custom_labels.toml",
"settings/pr_help_prompts.toml",
"settings_prod/.secrets.toml",
"settings/custom_labels.toml"
]]
)

View File

@ -1,16 +1,14 @@
from starlette_context import context
from pr_agent.config_loader import get_settings
from pr_agent.git_providers.azuredevops_provider import AzureDevopsProvider
from pr_agent.git_providers.bitbucket_provider import BitbucketProvider
from pr_agent.git_providers.bitbucket_server_provider import \
BitbucketServerProvider
from pr_agent.git_providers.bitbucket_server_provider import BitbucketServerProvider
from pr_agent.git_providers.codecommit_provider import CodeCommitProvider
from pr_agent.git_providers.gerrit_provider import GerritProvider
from pr_agent.git_providers.git_provider import GitProvider
from pr_agent.git_providers.github_provider import GithubProvider
from pr_agent.git_providers.gitlab_provider import GitLabProvider
from pr_agent.git_providers.local_git_provider import LocalGitProvider
from pr_agent.git_providers.azuredevops_provider import AzureDevopsProvider
from pr_agent.git_providers.gerrit_provider import GerritProvider
from starlette_context import context
_GIT_PROVIDERS = {
'github': GithubProvider,

View File

@ -2,16 +2,13 @@ import os
from typing import Optional, Tuple
from urllib.parse import urlparse
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from ..algo.file_filter import filter_ignored
from ..algo.language_handler import is_valid_file
from ..algo.utils import (PRDescriptionHeader, clip_tokens,
find_line_number_of_relevant_line_in_file,
load_large_diff)
from ..config_loader import get_settings
from ..log import get_logger
from ..algo.language_handler import is_valid_file
from ..algo.utils import clip_tokens, find_line_number_of_relevant_line_in_file, load_large_diff
from ..config_loader import get_settings
from .git_provider import GitProvider
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
AZURE_DEVOPS_AVAILABLE = True
ADO_APP_CLIENT_DEFAULT_ID = "499b84ac-1321-427f-aa17-267ca6975798/.default"
@ -19,16 +16,19 @@ MAX_PR_DESCRIPTION_AZURE_LENGTH = 4000-1
try:
# noinspection PyUnresolvedReferences
from msrest.authentication import BasicAuthentication
# noinspection PyUnresolvedReferences
from azure.devops.connection import Connection
# noinspection PyUnresolvedReferences
from azure.devops.v7_1.git.models import (Comment, CommentThread,
GitPullRequest,
GitPullRequestIterationChanges,
GitVersionDescriptor)
# noinspection PyUnresolvedReferences
from azure.identity import DefaultAzureCredential
from msrest.authentication import BasicAuthentication
# noinspection PyUnresolvedReferences
from azure.devops.v7_1.git.models import (
Comment,
CommentThread,
GitVersionDescriptor,
GitPullRequest,
GitPullRequestIterationChanges,
)
except ImportError:
AZURE_DEVOPS_AVAILABLE = False
@ -67,14 +67,16 @@ class AzureDevopsProvider(GitProvider):
relevant_lines_end = suggestion['relevant_lines_end']
if not relevant_lines_start or relevant_lines_start == -1:
get_logger().warning(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}")
if get_settings().config.verbosity_level >= 2:
get_logger().exception(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}")
continue
if relevant_lines_end < relevant_lines_start:
get_logger().warning(f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}")
if get_settings().config.verbosity_level >= 2:
get_logger().exception(f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}")
continue
if relevant_lines_end > relevant_lines_start:
@ -93,11 +95,9 @@ class AzureDevopsProvider(GitProvider):
"side": "RIGHT",
}
post_parameters_list.append(post_parameters)
if not post_parameters_list:
return False
for post_parameters in post_parameters_list:
try:
try:
for post_parameters in post_parameters_list:
comment = Comment(content=post_parameters["body"], comment_type=1)
thread = CommentThread(comments=[comment],
thread_context={
@ -117,11 +117,15 @@ class AzureDevopsProvider(GitProvider):
repository_id=self.repo_slug,
pull_request_id=self.pr_num
)
except Exception as e:
get_logger().warning(f"Azure failed to publish code suggestion, error: {e}")
return True
if get_settings().config.verbosity_level >= 2:
get_logger().info(
f"Published code suggestion on {self.pr_num} at {post_parameters['path']}"
)
return True
except Exception as e:
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to publish code suggestion, error: {e}")
return False
def get_pr_description_full(self) -> str:
return self.pr.description
@ -332,22 +336,19 @@ class AzureDevopsProvider(GitProvider):
version = GitVersionDescriptor(
version=base_sha.commit_id, version_type="commit"
)
if edit_type == EDIT_TYPE.ADDED:
try:
original_file_content_str = self.azure_devops_client.get_item(
repository_id=self.repo_slug,
path=file,
project=self.workspace_slug,
version_descriptor=version,
download=False,
include_content=True,
)
original_file_content_str = original_file_content_str.content
except Exception as error:
get_logger().error(f"Failed to retrieve original file content of {file} at version {version}", error=error)
original_file_content_str = ""
else:
try:
original_file_content_str = self.azure_devops_client.get_item(
repository_id=self.repo_slug,
path=file,
project=self.workspace_slug,
version_descriptor=version,
download=False,
include_content=True,
)
original_file_content_str = original_file_content_str.content
except Exception as error:
get_logger().error(f"Failed to retrieve original file content of {file} at version {version}", error=error)
original_file_content_str = ""
patch = load_large_diff(
file, new_file_content_str, original_file_content_str, show_warning=False
@ -378,9 +379,6 @@ class AzureDevopsProvider(GitProvider):
return []
def publish_comment(self, pr_comment: str, is_temporary: bool = False, thread_context=None):
if is_temporary and not get_settings().config.publish_output_progress:
get_logger().debug(f"Skipping publish_comment for temporary comment: {pr_comment}")
return None
comment = Comment(content=pr_comment)
thread = CommentThread(comments=[comment], thread_context=thread_context, status=5)
thread_response = self.azure_devops_client.create_thread(
@ -403,7 +401,7 @@ class AzureDevopsProvider(GitProvider):
pr_body = pr_body[:ind]
if len(pr_body) > MAX_PR_DESCRIPTION_AZURE_LENGTH:
changes_walkthrough_text = PRDescriptionHeader.CHANGES_WALKTHROUGH.value
changes_walkthrough_text = '## **Changes walkthrough**'
ind = pr_body.find(changes_walkthrough_text)
if ind != -1:
pr_body = pr_body[:ind]
@ -619,3 +617,4 @@ class AzureDevopsProvider(GitProvider):
def publish_file_comments(self, file_comments: list) -> bool:
pass

View File

@ -1,6 +1,4 @@
import difflib
import json
import re
from typing import Optional, Tuple
from urllib.parse import urlparse
@ -8,14 +6,13 @@ import requests
from atlassian.bitbucket import Cloud
from starlette_context import context
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.algo.types import FilePatchInfo, EDIT_TYPE
from ..algo.file_filter import filter_ignored
from ..algo.language_handler import is_valid_file
from ..algo.utils import find_line_number_of_relevant_line_in_file
from ..config_loader import get_settings
from ..log import get_logger
from .git_provider import MAX_FILES_ALLOWED_FULL, GitProvider
from .git_provider import GitProvider, MAX_FILES_ALLOWED_FULL
def _gef_filename(diff):
@ -74,38 +71,24 @@ class BitbucketProvider(GitProvider):
post_parameters_list = []
for suggestion in code_suggestions:
body = suggestion["body"]
original_suggestion = suggestion.get('original_suggestion', None) # needed for diff code
if original_suggestion:
try:
existing_code = original_suggestion['existing_code'].rstrip() + "\n"
improved_code = original_suggestion['improved_code'].rstrip() + "\n"
diff = difflib.unified_diff(existing_code.split('\n'),
improved_code.split('\n'), n=999)
patch_orig = "\n".join(diff)
patch = "\n".join(patch_orig.splitlines()[5:]).strip('\n')
diff_code = f"\n\n```diff\n{patch.rstrip()}\n```"
# replace ```suggestion ... ``` with diff_code, using regex:
body = re.sub(r'```suggestion.*?```', diff_code, body, flags=re.DOTALL)
except Exception as e:
get_logger().exception(f"Bitbucket failed to get diff code for publishing, error: {e}")
continue
relevant_file = suggestion["relevant_file"]
relevant_lines_start = suggestion["relevant_lines_start"]
relevant_lines_end = suggestion["relevant_lines_end"]
if not relevant_lines_start or relevant_lines_start == -1:
get_logger().exception(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}"
)
if get_settings().config.verbosity_level >= 2:
get_logger().exception(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}"
)
continue
if relevant_lines_end < relevant_lines_start:
get_logger().exception(
f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}"
)
if get_settings().config.verbosity_level >= 2:
get_logger().exception(
f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}"
)
continue
if relevant_lines_end > relevant_lines_start:
@ -129,7 +112,8 @@ class BitbucketProvider(GitProvider):
self.publish_inline_comments(post_parameters_list)
return True
except Exception as e:
get_logger().error(f"Bitbucket failed to publish code suggestion, error: {e}")
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to publish code suggestion, error: {e}")
return False
def publish_file_comments(self, file_comments: list) -> bool:
@ -137,7 +121,7 @@ class BitbucketProvider(GitProvider):
def is_supported(self, capability: str) -> bool:
if capability in ['get_issue_comments', 'publish_inline_comments', 'get_labels', 'gfm_markdown',
'publish_file_comments']:
'publish_file_comments']:
return False
return True
@ -325,9 +309,6 @@ class BitbucketProvider(GitProvider):
self.publish_comment(pr_comment)
def publish_comment(self, pr_comment: str, is_temporary: bool = False):
if is_temporary and not get_settings().config.publish_output_progress:
get_logger().debug(f"Skipping publish_comment for temporary comment: {pr_comment}")
return None
pr_comment = self.limit_output_characters(pr_comment, self.max_comment_length)
comment = self.pr.comment(pr_comment)
if is_temporary:

View File

@ -1,21 +1,16 @@
import difflib
import re
from packaging.version import parse as parse_version
from distutils.version import LooseVersion
from requests.exceptions import HTTPError
from typing import Optional, Tuple
from urllib.parse import quote_plus, urlparse
from atlassian.bitbucket import Bitbucket
from requests.exceptions import HTTPError
from ..algo.git_patch_processing import decode_if_bytes
from ..algo.language_handler import is_valid_file
from .git_provider import GitProvider
from ..algo.types import EDIT_TYPE, FilePatchInfo
from ..algo.utils import (find_line_number_of_relevant_line_in_file,
load_large_diff)
from ..algo.language_handler import is_valid_file
from ..algo.utils import load_large_diff, find_line_number_of_relevant_line_in_file
from ..config_loader import get_settings
from ..log import get_logger
from .git_provider import GitProvider
class BitbucketServerProvider(GitProvider):
@ -40,7 +35,7 @@ class BitbucketServerProvider(GitProvider):
token=get_settings().get("BITBUCKET_SERVER.BEARER_TOKEN",
None))
try:
self.bitbucket_api_version = parse_version(self.bitbucket_client.get("rest/api/1.0/application-properties").get('version'))
self.bitbucket_api_version = LooseVersion(self.bitbucket_client.get("rest/api/1.0/application-properties").get('version'))
except Exception:
self.bitbucket_api_version = None
@ -70,37 +65,24 @@ class BitbucketServerProvider(GitProvider):
post_parameters_list = []
for suggestion in code_suggestions:
body = suggestion["body"]
original_suggestion = suggestion.get('original_suggestion', None) # needed for diff code
if original_suggestion:
try:
existing_code = original_suggestion['existing_code'].rstrip() + "\n"
improved_code = original_suggestion['improved_code'].rstrip() + "\n"
diff = difflib.unified_diff(existing_code.split('\n'),
improved_code.split('\n'), n=999)
patch_orig = "\n".join(diff)
patch = "\n".join(patch_orig.splitlines()[5:]).strip('\n')
diff_code = f"\n\n```diff\n{patch.rstrip()}\n```"
# replace ```suggestion ... ``` with diff_code, using regex:
body = re.sub(r'```suggestion.*?```', diff_code, body, flags=re.DOTALL)
except Exception as e:
get_logger().exception(f"Bitbucket failed to get diff code for publishing, error: {e}")
continue
relevant_file = suggestion["relevant_file"]
relevant_lines_start = suggestion["relevant_lines_start"]
relevant_lines_end = suggestion["relevant_lines_end"]
if not relevant_lines_start or relevant_lines_start == -1:
get_logger().warning(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}"
)
if get_settings().config.verbosity_level >= 2:
get_logger().exception(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}"
)
continue
if relevant_lines_end < relevant_lines_start:
get_logger().warning(
f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}"
)
if get_settings().config.verbosity_level >= 2:
get_logger().exception(
f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}"
)
continue
if relevant_lines_end > relevant_lines_start:
@ -177,7 +159,7 @@ class BitbucketServerProvider(GitProvider):
head_sha = self.pr.fromRef['latestCommit']
# if Bitbucket api version is >= 8.16 then use the merge-base api for 2-way diff calculation
if self.bitbucket_api_version is not None and self.bitbucket_api_version >= parse_version("8.16"):
if self.bitbucket_api_version is not None and self.bitbucket_api_version >= LooseVersion("8.16"):
try:
base_sha = self.bitbucket_client.get(self._get_merge_base())['id']
except Exception as e:
@ -192,7 +174,7 @@ class BitbucketServerProvider(GitProvider):
# if Bitbucket api version is None or < 7.0 then do a simple diff with a guaranteed common ancestor
base_sha = source_commits_list[-1]['parents'][0]['id']
# if Bitbucket api version is 7.0-8.15 then use 2-way diff functionality for the base_sha
if self.bitbucket_api_version is not None and self.bitbucket_api_version >= parse_version("7.0"):
if self.bitbucket_api_version is not None and self.bitbucket_api_version >= LooseVersion("7.0"):
try:
destination_commits = list(
self.bitbucket_client.get_commits(self.workspace_slug, self.repo_slug, base_sha,
@ -218,21 +200,25 @@ class BitbucketServerProvider(GitProvider):
case 'ADD':
edit_type = EDIT_TYPE.ADDED
new_file_content_str = self.get_file(file_path, head_sha)
new_file_content_str = decode_if_bytes(new_file_content_str)
if isinstance(new_file_content_str, (bytes, bytearray)):
new_file_content_str = new_file_content_str.decode("utf-8")
original_file_content_str = ""
case 'DELETE':
edit_type = EDIT_TYPE.DELETED
new_file_content_str = ""
original_file_content_str = self.get_file(file_path, base_sha)
original_file_content_str = decode_if_bytes(original_file_content_str)
if isinstance(original_file_content_str, (bytes, bytearray)):
original_file_content_str = original_file_content_str.decode("utf-8")
case 'RENAME':
edit_type = EDIT_TYPE.RENAMED
case _:
edit_type = EDIT_TYPE.MODIFIED
original_file_content_str = self.get_file(file_path, base_sha)
original_file_content_str = decode_if_bytes(original_file_content_str)
if isinstance(original_file_content_str, (bytes, bytearray)):
original_file_content_str = original_file_content_str.decode("utf-8")
new_file_content_str = self.get_file(file_path, head_sha)
new_file_content_str = decode_if_bytes(new_file_content_str)
if isinstance(new_file_content_str, (bytes, bytearray)):
new_file_content_str = new_file_content_str.decode("utf-8")
patch = load_large_diff(file_path, new_file_content_str, original_file_content_str)
@ -343,10 +329,10 @@ class BitbucketServerProvider(GitProvider):
for comment in comments:
if 'position' in comment:
self.publish_inline_comment(comment['body'], comment['position'], comment['path'])
elif 'start_line' in comment: # multi-line comment
elif 'start_line' in comment: # multi-line comment
# note that bitbucket does not seem to support range - only a comment on a single line - https://community.developer.atlassian.com/t/api-post-endpoint-for-inline-pull-request-comments/60452
self.publish_inline_comment(comment['body'], comment['start_line'], comment['path'])
elif 'line' in comment: # single-line comment
elif 'line' in comment: # single-line comment
self.publish_inline_comment(comment['body'], comment['line'], comment['path'])
else:
get_logger().error(f"Could not publish inline comment: {comment}")

View File

@ -4,15 +4,13 @@ from collections import Counter
from typing import List, Optional, Tuple
from urllib.parse import urlparse
from pr_agent.algo.language_handler import is_valid_file
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.git_providers.codecommit_client import CodeCommitClient
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from ..algo.utils import load_large_diff
from .git_provider import GitProvider
from ..config_loader import get_settings
from ..log import get_logger
from .git_provider import GitProvider
from pr_agent.algo.language_handler import is_valid_file
class PullRequestCCMimic:
"""
@ -164,7 +162,7 @@ class CodeCommitProvider(GitProvider):
pr_body=CodeCommitProvider._add_additional_newlines(pr_body),
)
except Exception as e:
raise ValueError(f"CodeCommit Cannot publish description for PR: {self.pr_num}") from e
raise ValueError(f"CodeCommit Cannot publish description for PR: {self.pr_num}") from e
def publish_comment(self, pr_comment: str, is_temporary: bool = False):
if is_temporary:
@ -192,7 +190,7 @@ class CodeCommitProvider(GitProvider):
if not all(key in suggestion for key in ["body", "relevant_file", "relevant_lines_start"]):
get_logger().warning(f"Skipping code suggestion #{counter}: Each suggestion must have 'body', 'relevant_file', 'relevant_lines_start' keys")
continue
# Publish the code suggestion to CodeCommit
try:
get_logger().debug(f"Code Suggestion #{counter} in file: {suggestion['relevant_file']}: {suggestion['relevant_lines_start']}")
@ -207,12 +205,12 @@ class CodeCommitProvider(GitProvider):
)
except Exception as e:
raise ValueError(f"CodeCommit Cannot publish code suggestions for PR: {self.pr_num}") from e
counter += 1
# The calling function passes in a list of code suggestions, and this function publishes each suggestion one at a time.
# If we were to return False here, the calling function will attempt to publish the same list of code suggestions again, one at a time.
# Since this function publishes the suggestions one at a time anyway, we always return True here to avoid the retry.
# Since this function publishes the suggestions one at a time anyway, we always return True here to avoid the retry.
return True
def publish_labels(self, labels):
@ -240,7 +238,7 @@ class CodeCommitProvider(GitProvider):
def get_pr_id(self):
"""
Returns the PR ID in the format: "repo_name/pr_number".
Note: This is an internal identifier for PR-Agent,
Note: This is an internal identifier for PR-Agent,
and is not the same as the CodeCommit PR identifier.
"""
try:
@ -248,7 +246,7 @@ class CodeCommitProvider(GitProvider):
return pr_id
except:
return ""
def get_languages(self):
"""
Returns a dictionary of languages, containing the percentage of each language used in the PR.
@ -350,7 +348,7 @@ class CodeCommitProvider(GitProvider):
"""
Check if the provided hostname is a valid AWS CodeCommit hostname.
This is not an exhaustive check of AWS region names,
This is not an exhaustive check of AWS region names,
but instead uses a regex to check for matching AWS region patterns.
Args:

View File

@ -12,9 +12,9 @@ import requests
import urllib3.util
from git import Repo
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.config_loader import get_settings
from pr_agent.git_providers.git_provider import GitProvider
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.git_providers.local_git_provider import PullRequestMimic
from pr_agent.log import get_logger

View File

@ -1,12 +1,12 @@
from abc import ABC, abstractmethod
# enum EDIT_TYPE (ADDED, DELETED, MODIFIED, RENAMED)
from typing import Optional
from pr_agent.algo.types import FilePatchInfo
from pr_agent.algo.utils import Range, process_description
from pr_agent.config_loader import get_settings
from pr_agent.algo.types import FilePatchInfo
from pr_agent.log import get_logger
MAX_FILES_ALLOWED_FULL = 50
class GitProvider(ABC):
@ -62,8 +62,8 @@ class GitProvider(ABC):
pass
def get_pr_description(self, full: bool = True, split_changes_walkthrough=False) -> str or tuple:
from pr_agent.algo.utils import clip_tokens
from pr_agent.config_loader import get_settings
from pr_agent.algo.utils import clip_tokens
max_tokens_description = get_settings().get("CONFIG.MAX_DESCRIPTION_TOKENS", None)
description = self.get_pr_description_full() if full else self.get_user_description()
if split_changes_walkthrough:

View File

@ -1,30 +1,22 @@
import copy
import difflib
import hashlib
import itertools
import re
import time
import traceback
import hashlib
from datetime import datetime
from typing import Optional, Tuple
from urllib.parse import urlparse
from github import AppAuthentication, Auth, Github
from github import AppAuthentication, Auth, Github, GithubException
from retry import retry
from starlette_context import context
from ..algo.file_filter import filter_ignored
from ..algo.git_patch_processing import extract_hunk_headers
from ..algo.language_handler import is_valid_file
from ..algo.types import EDIT_TYPE
from ..algo.utils import (PRReviewHeader, Range, clip_tokens,
find_line_number_of_relevant_line_in_file,
load_large_diff, set_file_languages)
from ..algo.utils import PRReviewHeader, load_large_diff, clip_tokens, find_line_number_of_relevant_line_in_file, Range
from ..config_loader import get_settings
from ..log import get_logger
from ..servers.utils import RateLimitExceeded
from .git_provider import (MAX_FILES_ALLOWED_FULL, FilePatchInfo, GitProvider,
IncrementalPR)
from .git_provider import GitProvider, IncrementalPR, MAX_FILES_ALLOWED_FULL
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
class GithubProvider(GitProvider):
@ -35,8 +27,10 @@ class GithubProvider(GitProvider):
except Exception:
self.installation_id = None
self.max_comment_chars = 65000
self.base_url = get_settings().get("GITHUB.BASE_URL", "https://api.github.com").rstrip("/") # "https://api.github.com"
self.base_url = get_settings().get("GITHUB.BASE_URL", "https://api.github.com").rstrip("/")
self.base_url_html = self.base_url.split("api/")[0].rstrip("/") if "api/" in self.base_url else "https://github.com"
self.base_domain = self.base_url.replace("https://", "").replace("http://", "")
self.base_domain_html = self.base_url_html.replace("https://", "").replace("http://", "")
self.github_client = self._get_github_client()
self.repo = None
self.pr_num = None
@ -203,24 +197,7 @@ class GithubProvider(GitProvider):
if avoid_load:
original_file_content_str = ""
else:
# The base.sha will point to the current state of the base branch (including parallel merges), not the original base commit when the PR was created
# We can fix this by finding the merge base commit between the PR head and base branches
# Note that The pr.head.sha is actually correct as is - it points to the latest commit in your PR branch.
# This SHA isn't affected by parallel merges to the base branch since it's specific to your PR's branch.
repo = self.repo_obj
pr = self.pr
try:
compare = repo.compare(pr.base.sha, pr.head.sha)
merge_base_commit = compare.merge_base_commit
except Exception as e:
get_logger().error(f"Failed to get merge base commit: {e}")
merge_base_commit = pr.base
if merge_base_commit.sha != pr.base.sha:
get_logger().info(
f"Using merge base commit {merge_base_commit.sha} instead of base commit "
f"{pr.base.sha} for {file.filename}")
original_file_content_str = self._get_pr_file_content(file, merge_base_commit.sha)
original_file_content_str = self._get_pr_file_content(file, self.pr.base.sha)
if not patch:
patch = load_large_diff(file.filename, new_file_content_str, original_file_content_str)
@ -256,9 +233,8 @@ class GithubProvider(GitProvider):
return diff_files
except Exception as e:
get_logger().error(f"Failing to get diff files: {e}",
artifact={"traceback": traceback.format_exc()})
except GithubException.RateLimitExceededException as e:
get_logger().error(f"Rate limit exceeded for GitHub API. Original message: {e}")
raise RateLimitExceeded("Rate limit exceeded for GitHub API.") from e
def publish_description(self, pr_title: str, pr_body: str):
@ -280,7 +256,7 @@ class GithubProvider(GitProvider):
def publish_comment(self, pr_comment: str, is_temporary: bool = False):
if is_temporary and not get_settings().config.publish_output_progress:
get_logger().debug(f"Skipping publish_comment for temporary comment: {pr_comment}")
return None
return
pr_comment = self.limit_output_characters(pr_comment, self.max_comment_chars)
response = self.pr.create_issue_comment(pr_comment)
if hasattr(response, "user") and hasattr(response.user, "login"):
@ -304,7 +280,8 @@ class GithubProvider(GitProvider):
relevant_line_in_file,
absolute_position)
if position == -1:
get_logger().info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
if get_settings().config.verbosity_level >= 2:
get_logger().info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
subject_type = "FILE"
else:
subject_type = "LINE"
@ -316,9 +293,11 @@ class GithubProvider(GitProvider):
# publish all comments in a single message
self.pr.create_review(commit=self.last_commit_id, comments=comments)
except Exception as e:
get_logger().info(f"Initially failed to publish inline comments as committable")
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to publish inline comments")
if (getattr(e, "status", None) == 422 and not disable_fallback):
if (getattr(e, "status", None) == 422
and get_settings().github.publish_inline_comments_fallback_with_verification and not disable_fallback):
pass # continue to try _publish_inline_comments_fallback_with_verification
else:
raise e # will end up with publishing the comments one by one
@ -326,7 +305,8 @@ class GithubProvider(GitProvider):
try:
self._publish_inline_comments_fallback_with_verification(comments)
except Exception as e:
get_logger().error(f"Failed to publish inline code comments fallback, error: {e}")
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to publish inline code comments fallback, error: {e}")
raise e
def _publish_inline_comments_fallback_with_verification(self, comments: list[dict]):
@ -351,9 +331,11 @@ class GithubProvider(GitProvider):
for comment in fixed_comments_as_one_liner:
try:
self.publish_inline_comments([comment], disable_fallback=True)
get_logger().info(f"Published invalid comment as a single line comment: {comment}")
if get_settings().config.verbosity_level >= 2:
get_logger().info(f"Published invalid comment as a single line comment: {comment}")
except:
get_logger().error(f"Failed to publish invalid comment as a single line comment: {comment}")
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to publish invalid comment as a single line comment: {comment}")
def _verify_code_comment(self, comment: dict):
is_verified = False
@ -411,7 +393,8 @@ class GithubProvider(GitProvider):
if fixed_comment != comment:
fixed_comments.append(fixed_comment)
except Exception as e:
get_logger().error(f"Failed to fix inline comment, error: {e}")
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to fix inline comment, error: {e}")
return fixed_comments
def publish_code_suggestions(self, code_suggestions: list) -> bool:
@ -419,24 +402,23 @@ class GithubProvider(GitProvider):
Publishes code suggestions as comments on the PR.
"""
post_parameters_list = []
code_suggestions_validated = self.validate_comments_inside_hunks(code_suggestions)
for suggestion in code_suggestions_validated:
for suggestion in code_suggestions:
body = suggestion['body']
relevant_file = suggestion['relevant_file']
relevant_lines_start = suggestion['relevant_lines_start']
relevant_lines_end = suggestion['relevant_lines_end']
if not relevant_lines_start or relevant_lines_start == -1:
get_logger().exception(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}")
if get_settings().config.verbosity_level >= 2:
get_logger().exception(
f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}")
continue
if relevant_lines_end < relevant_lines_start:
get_logger().exception(f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}")
if get_settings().config.verbosity_level >= 2:
get_logger().exception(f"Failed to publish code suggestion, "
f"relevant_lines_end is {relevant_lines_end} and "
f"relevant_lines_start is {relevant_lines_start}")
continue
if relevant_lines_end > relevant_lines_start:
@ -460,7 +442,8 @@ class GithubProvider(GitProvider):
self.publish_inline_comments(post_parameters_list)
return True
except Exception as e:
get_logger().error(f"Failed to publish code suggestion, error: {e}")
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to publish code suggestion, error: {e}")
return False
def edit_comment(self, comment, body: str):
@ -519,7 +502,6 @@ class GithubProvider(GitProvider):
elif self.deployment_type == 'user':
same_comment_creator = self.github_user_id == existing_comment['user']['login']
if existing_comment['subject_type'] == 'file' and comment['path'] == existing_comment['path'] and same_comment_creator:
headers, data_patch = self.pr._requester.requestJsonAndCheck(
"PATCH", f"{self.base_url}/repos/{self.repo}/pulls/comments/{existing_comment['id']}", input={"body":comment['body']}
)
@ -531,7 +513,8 @@ class GithubProvider(GitProvider):
)
return True
except Exception as e:
get_logger().error(f"Failed to publish diffview file summary, error: {e}")
if get_settings().config.verbosity_level >= 2:
get_logger().error(f"Failed to publish diffview file summary, error: {e}")
return False
def remove_initial_comment(self):
@ -628,11 +611,8 @@ class GithubProvider(GitProvider):
def _parse_pr_url(self, pr_url: str) -> Tuple[str, int]:
parsed_url = urlparse(pr_url)
if parsed_url.path.startswith('/api/v3'):
parsed_url = urlparse(pr_url.replace("/api/v3", ""))
path_parts = parsed_url.path.strip('/').split('/')
if 'api.github.com' in parsed_url.netloc or '/api/v3' in pr_url:
if self.base_domain in parsed_url.netloc:
if len(path_parts) < 5 or path_parts[3] != 'pulls':
raise ValueError("The provided URL does not appear to be a GitHub PR URL")
repo_name = '/'.join(path_parts[1:3])
@ -655,12 +635,8 @@ class GithubProvider(GitProvider):
def _parse_issue_url(self, issue_url: str) -> Tuple[str, int]:
parsed_url = urlparse(issue_url)
if 'github.com' not in parsed_url.netloc:
raise ValueError("The provided URL is not a valid GitHub URL")
path_parts = parsed_url.path.strip('/').split('/')
if 'api.github.com' in parsed_url.netloc:
if self.base_domain in parsed_url.netloc:
if len(path_parts) < 5 or path_parts[3] != 'issues':
raise ValueError("The provided URL does not appear to be a GitHub ISSUE URL")
repo_name = '/'.join(path_parts[1:3])
@ -819,7 +795,8 @@ class GithubProvider(GitProvider):
link = f"{self.base_url_html}/{self.repo}/pull/{self.pr_num}/files#diff-{sha_file}R{absolute_position}"
return link
except Exception as e:
get_logger().info(f"Failed adding line link, error: {e}")
if get_settings().config.verbosity_level >= 2:
get_logger().info(f"Failed adding line link, error: {e}")
return ""
@ -879,89 +856,3 @@ class GithubProvider(GitProvider):
def calc_pr_statistics(self, pull_request_data: dict):
return {}
def validate_comments_inside_hunks(self, code_suggestions):
"""
validate that all committable comments are inside PR hunks - this is a must for committable comments in GitHub
"""
code_suggestions_copy = copy.deepcopy(code_suggestions)
diff_files = self.get_diff_files()
RE_HUNK_HEADER = re.compile(
r"^@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))? @@[ ]?(.*)")
diff_files = set_file_languages(diff_files)
for suggestion in code_suggestions_copy:
try:
relevant_file_path = suggestion['relevant_file']
for file in diff_files:
if file.filename == relevant_file_path:
# generate on-demand the patches range for the relevant file
patch_str = file.patch
if not hasattr(file, 'patches_range'):
file.patches_range = []
patch_lines = patch_str.splitlines()
for i, line in enumerate(patch_lines):
if line.startswith('@@'):
match = RE_HUNK_HEADER.match(line)
# identify hunk header
if match:
section_header, size1, size2, start1, start2 = extract_hunk_headers(match)
file.patches_range.append({'start': start2, 'end': start2 + size2 - 1})
patches_range = file.patches_range
comment_start_line = suggestion.get('relevant_lines_start', None)
comment_end_line = suggestion.get('relevant_lines_end', None)
original_suggestion = suggestion.get('original_suggestion', None) # needed for diff code
if not comment_start_line or not comment_end_line or not original_suggestion:
continue
# check if the comment is inside a valid hunk
is_valid_hunk = False
min_distance = float('inf')
patch_range_min = None
# find the hunk that contains the comment, or the closest one
for i, patch_range in enumerate(patches_range):
d1 = comment_start_line - patch_range['start']
d2 = patch_range['end'] - comment_end_line
if d1 >= 0 and d2 >= 0: # found a valid hunk
is_valid_hunk = True
min_distance = 0
patch_range_min = patch_range
break
elif d1 * d2 <= 0: # comment is possibly inside the hunk
d1_clip = abs(min(0, d1))
d2_clip = abs(min(0, d2))
d = max(d1_clip, d2_clip)
if d < min_distance:
patch_range_min = patch_range
min_distance = min(min_distance, d)
if not is_valid_hunk:
if min_distance < 10: # 10 lines - a reasonable distance to consider the comment inside the hunk
# make the suggestion non-committable, yet multi line
suggestion['relevant_lines_start'] = max(suggestion['relevant_lines_start'], patch_range_min['start'])
suggestion['relevant_lines_end'] = min(suggestion['relevant_lines_end'], patch_range_min['end'])
body = suggestion['body'].strip()
# present new diff code in collapsible
existing_code = original_suggestion['existing_code'].rstrip() + "\n"
improved_code = original_suggestion['improved_code'].rstrip() + "\n"
diff = difflib.unified_diff(existing_code.split('\n'),
improved_code.split('\n'), n=999)
patch_orig = "\n".join(diff)
patch = "\n".join(patch_orig.splitlines()[5:]).strip('\n')
diff_code = f"\n\n<details><summary>New proposed code:</summary>\n\n```diff\n{patch.rstrip()}\n```"
# replace ```suggestion ... ``` with diff_code, using regex:
body = re.sub(r'```suggestion.*?```', diff_code, body, flags=re.DOTALL)
body += "\n\n</details>"
suggestion['body'] = body
get_logger().info(f"Comment was moved to a valid hunk, "
f"start_line={suggestion['relevant_lines_start']}, end_line={suggestion['relevant_lines_end']}, file={file.filename}")
else:
get_logger().error(f"Comment is not inside a valid hunk, "
f"start_line={suggestion['relevant_lines_start']}, end_line={suggestion['relevant_lines_end']}, file={file.filename}")
except Exception as e:
get_logger().error(f"Failed to process patch for committable comment, error: {e}")
return code_suggestions_copy

View File

@ -1,4 +1,3 @@
import difflib
import hashlib
import re
from typing import Optional, Tuple
@ -8,16 +7,13 @@ import gitlab
import requests
from gitlab import GitlabGetError
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from ..algo.file_filter import filter_ignored
from ..algo.language_handler import is_valid_file
from ..algo.utils import (clip_tokens,
find_line_number_of_relevant_line_in_file,
load_large_diff)
from ..algo.utils import load_large_diff, clip_tokens, find_line_number_of_relevant_line_in_file
from ..config_loader import get_settings
from .git_provider import GitProvider, MAX_FILES_ALLOWED_FULL
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from ..log import get_logger
from .git_provider import MAX_FILES_ALLOWED_FULL, GitProvider
class DiffNotFoundError(Exception):
@ -194,9 +190,6 @@ class GitLabProvider(GitProvider):
self.publish_persistent_comment_full(pr_comment, initial_header, update_header, name, final_update_message)
def publish_comment(self, mr_comment: str, is_temporary: bool = False):
if is_temporary and not get_settings().config.publish_output_progress:
get_logger().debug(f"Skipping publish_comment for temporary comment: {mr_comment}")
return None
mr_comment = self.limit_output_characters(mr_comment, self.max_comment_chars)
comment = self.mr.notes.create({'body': mr_comment})
if is_temporary:
@ -282,23 +275,20 @@ class GitLabProvider(GitProvider):
new_code_snippet = original_suggestion['improved_code']
content = original_suggestion['suggestion_content']
label = original_suggestion['label']
score = original_suggestion.get('score', 7)
if 'score' in original_suggestion:
score = original_suggestion['score']
else:
score = 7
if hasattr(self, 'main_language'):
language = self.main_language
else:
language = ''
link = self.get_line_link(relevant_file, line_start, line_end)
body_fallback =f"**Suggestion:** {content} [{label}, importance: {score}]\n\n"
body_fallback +=f"\n\n<details><summary>[{target_file.filename} [{line_start}-{line_end}]]({link}):</summary>\n\n"
body_fallback += f"\n\n___\n\n`(Cannot implement directly - GitLab API allows committable suggestions strictly on MR diff lines)`"
body_fallback+="</details>\n\n"
diff_patch = difflib.unified_diff(old_code_snippet.split('\n'),
new_code_snippet.split('\n'), n=999)
patch_orig = "\n".join(diff_patch)
patch = "\n".join(patch_orig.splitlines()[5:]).strip('\n')
diff_code = f"\n\n```diff\n{patch.rstrip()}\n```"
body_fallback += diff_code
body_fallback =f"**Suggestion:** {content} [{label}, importance: {score}]\n___\n"
body_fallback +=f"\n\nReplace lines ([{line_start}-{line_end}]({link}))\n\n```{language}\n{old_code_snippet}\n````\n\n"
body_fallback +=f"with\n\n```{language}\n{new_code_snippet}\n````"
body_fallback += f"\n\n___\n\n`(Cannot implement this suggestion directly, as gitlab API does not enable committing to a non -+ line in a PR)`"
# Create a general note on the file in the MR
self.mr.notes.create({
@ -311,7 +301,6 @@ class GitLabProvider(GitProvider):
'file_path': f'{target_file.filename}',
}
})
get_logger().debug(f"Created fallback comment in MR {self.id_mr} with position {pos_obj}")
# get_logger().debug(
# f"Failed to create comment in MR {self.id_mr} with position {pos_obj} (probably not a '+' line)")

View File

@ -4,9 +4,9 @@ from typing import List
from git import Repo
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.config_loader import _find_repository_root, get_settings
from pr_agent.git_providers.git_provider import GitProvider
from pr_agent.algo.types import EDIT_TYPE, FilePatchInfo
from pr_agent.log import get_logger

View File

@ -3,12 +3,11 @@ import os
import tempfile
from dynaconf import Dynaconf
from starlette_context import context
from pr_agent.config_loader import get_settings
from pr_agent.git_providers import (get_git_provider,
get_git_provider_with_context)
from pr_agent.git_providers import get_git_provider, get_git_provider_with_context
from pr_agent.log import get_logger
from starlette_context import context
def apply_repo_settings(pr_url):
@ -28,27 +27,18 @@ def apply_repo_settings(pr_url):
except Exception:
pass
error_local = None
if repo_settings:
repo_settings_file = None
category = 'local'
try:
fd, repo_settings_file = tempfile.mkstemp(suffix='.toml')
os.write(fd, repo_settings)
new_settings = Dynaconf(settings_files=[repo_settings_file])
for section, contents in new_settings.as_dict().items():
section_dict = copy.deepcopy(get_settings().as_dict().get(section, {}))
for key, value in contents.items():
section_dict[key] = value
get_settings().unset(section)
get_settings().set(section, section_dict, merge=False)
get_logger().info(f"Applying repo settings:\n{new_settings.as_dict()}")
except Exception as e:
get_logger().warning(f"Failed to apply repo {category} settings, error: {str(e)}")
error_local = {'error': str(e), 'settings': repo_settings, 'category': category}
if error_local:
handle_configurations_errors([error_local], git_provider)
fd, repo_settings_file = tempfile.mkstemp(suffix='.toml')
os.write(fd, repo_settings)
new_settings = Dynaconf(settings_files=[repo_settings_file])
for section, contents in new_settings.as_dict().items():
section_dict = copy.deepcopy(get_settings().as_dict().get(section, {}))
for key, value in contents.items():
section_dict[key] = value
get_settings().unset(section)
get_settings().set(section, section_dict, merge=False)
get_logger().info(f"Applying repo settings:\n{new_settings.as_dict()}")
except Exception as e:
get_logger().exception("Failed to apply repo settings", e)
finally:
@ -59,64 +49,15 @@ def apply_repo_settings(pr_url):
get_logger().error(f"Failed to remove temporary settings file {repo_settings_file}", e)
# enable switching models with a short definition
if get_settings().config.model.lower() == 'claude-3-5-sonnet':
if get_settings().config.model.lower()=='claude-3-5-sonnet':
set_claude_model()
def handle_configurations_errors(config_errors, git_provider):
try:
if not any(config_errors):
return
for err in config_errors:
if err:
configuration_file_content = err['settings'].decode()
err_message = err['error']
config_type = err['category']
header = f"❌ **PR-Agent failed to apply '{config_type}' repo settings**"
body = f"{header}\n\nThe configuration file needs to be a valid [TOML](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/), please fix it.\n\n"
body += f"___\n\n**Error message:**\n`{err_message}`\n\n"
if git_provider.is_supported("gfm_markdown"):
body += f"\n\n<details><summary>Configuration content:</summary>\n\n```toml\n{configuration_file_content}\n```\n\n</details>"
else:
body += f"\n\n**Configuration content:**\n\n```toml\n{configuration_file_content}\n```\n\n"
get_logger().warning(f"Sending a 'configuration error' comment to the PR", artifact={'body': body})
# git_provider.publish_comment(body)
if hasattr(git_provider, 'publish_persistent_comment'):
git_provider.publish_persistent_comment(body,
initial_header=header,
update_header=False,
final_update_message=False)
else:
git_provider.publish_comment(body)
except Exception as e:
get_logger().exception(f"Failed to handle configurations errors", e)
def set_claude_model():
"""
set the claude-sonnet-3.5 model easily (even by users), just by stating: --config.model='claude-3-5-sonnet'
"""
model_claude = "bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0"
get_settings().set('config.model', model_claude)
get_settings().set('config.model_weak', model_claude)
get_settings().set('config.model_turbo', model_claude)
get_settings().set('config.fallback_models', [model_claude])
def is_user_name_a_bot(name: str) -> bool:
if not name:
return False
bot_indicators = ['codium', 'bot_', 'bot-', '_bot', '-bot', 'qodo', "service", "github", "jenkins", "auto",
"cicd", "validator", "ci-", "assistant", "srv-"]
return any(indicator in name.lower() for indicator in bot_indicators)
def is_pr_description_indicating_bot(description: str) -> bool:
if not description:
return False
bot_descriptions = ["Snyk has created this PR", "This PR was created automatically by",
"This PR was created by a bot",
"This pull request was automatically generated by"]
# Check is it's a Snyk bot
if any(bot_description in description for bot_description in bot_descriptions):
return True

View File

@ -1,6 +1,5 @@
from pr_agent.config_loader import get_settings
from pr_agent.identity_providers.default_identity_provider import \
DefaultIdentityProvider
from pr_agent.identity_providers.default_identity_provider import DefaultIdentityProvider
_IDENTITY_PROVIDERS = {
'default': DefaultIdentityProvider
@ -11,4 +10,4 @@ def get_identity_provider():
identity_provider_id = get_settings().get("CONFIG.IDENTITY_PROVIDER", "default")
if identity_provider_id not in _IDENTITY_PROVIDERS:
raise ValueError(f"Unknown identity provider: {identity_provider_id}")
return _IDENTITY_PROVIDERS[identity_provider_id]()
return _IDENTITY_PROVIDERS[identity_provider_id]()

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