Merge pull request #453 from Codium-ai/tr/v_010

Version 0.10 Release and Workflow Update

.github/workflows/pr-agent-review.yaml

@@ -26,5 +26,6 @@ jobs:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           PINECONE.API_KEY: ${{ secrets.PINECONE_API_KEY }}
           PINECONE.ENVIRONMENT: ${{ secrets.PINECONE_ENVIRONMENT }}
+          GITHUB_ACTION.AUTO_REVIEW: true
 
 

.pr_agent.toml

@@ -0,0 +1,2 @@
+[pr_reviewer]
+enable_review_labels_effort = true

Dockerfile.bitbucket_pipeline

@@ -1,18 +0,0 @@
-FROM python:3.10 as base
-
-ENV OPENAI_API_KEY=${OPENAI_API_KEY} \
-    BITBUCKET_BEARER_TOKEN=${BITBUCKET_BEARER_TOKEN} \
-    BITBUCKET_PR_ID=${BITBUCKET_PR_ID} \
-    BITBUCKET_REPO_SLUG=${BITBUCKET_REPO_SLUG} \
-    BITBUCKET_WORKSPACE=${BITBUCKET_WORKSPACE}
-
-
-WORKDIR /app
-ADD pyproject.toml .
-ADD requirements.txt .
-RUN pip install . && rm pyproject.toml requirements.txt
-ENV PYTHONPATH=/app
-ADD pr_agent pr_agent
-ADD bitbucket_pipeline/entrypoint.sh /
-RUN chmod +x /entrypoint.sh
-ENTRYPOINT ["/entrypoint.sh"]

INSTALL.md

@@ -4,66 +4,73 @@
 To get started with PR-Agent quickly, you first need to acquire two tokens:
 
 1. An OpenAI key from [here](https://platform.openai.com/), with access to GPT-4.
-2. A GitHub personal access token (classic) with the repo scope.
+2. A GitHub\GitLab\BitBucket personal access token (classic) with the repo scope.
 
 There are several ways to use PR-Agent:
 
-- [Method 1: Use Docker image (no installation required)](INSTALL.md#method-1-use-docker-image-no-installation-required)
+**Locally**
-- [Method 2: Run from source](INSTALL.md#method-2-run-from-source)
+- [Using Docker image (no installation required)](INSTALL.md#use-docker-image-no-installation-required)
-- [Method 3: Run as a GitHub Action](INSTALL.md#method-3-run-as-a-github-action)
+- [Run from source](INSTALL.md#run-from-source)
-- [Method 4: Run as a polling server](INSTALL.md#method-4-run-as-a-polling-server)
+
-- [Method 5: Run as a GitHub App](INSTALL.md#method-5-run-as-a-github-app)
+**GitHub specific methods**
-- [Method 6: Deploy as a Lambda Function](INSTALL.md#method-6---deploy-as-a-lambda-function)
+- [Run as a GitHub Action](INSTALL.md#run-as-a-github-action)
-- [Method 7: AWS CodeCommit](INSTALL.md#method-7---aws-codecommit-setup)
+- [Run as a polling server](INSTALL.md#run-as-a-polling-server)
-- [Method 8: Run a GitLab webhook server](INSTALL.md#method-8---run-a-gitlab-webhook-server)
+- [Run as a GitHub App](INSTALL.md#run-as-a-github-app)
-- [Method 9: Run as a Bitbucket Pipeline](INSTALL.md#method-9-run-as-a-bitbucket-pipeline)
+- [Deploy as a Lambda Function](INSTALL.md#deploy-as-a-lambda-function)
+- [AWS CodeCommit](INSTALL.md#aws-codecommit-setup)
+
+**GitLab specific methods**
+- [Run a GitLab webhook server](INSTALL.md#run-a-gitlab-webhook-server)
+
+**BitBucket specific methods**
+- [Run as a Bitbucket Pipeline](INSTALL.md#run-as-a-bitbucket-pipeline)
+- [Run on a hosted app](INSTALL.md#run-on-a-hosted-bitbucket-app)
 ---
 
-### Method 1: Use Docker image (no installation required)
+### Use Docker image (no installation required)
 
-To request a review for a PR, or ask a question about a PR, you can run directly from the Docker image. Here's how:
+A list of the relevant tools can be found in the [tools guide](./docs/TOOLS_GUIDE.md).
 
-1. To request a review for a PR, run the following command:
+To invoke a tool (for example `review`), you can run directly from the Docker image. Here's how:
 
-For GitHub:
+- For GitHub:
 ```
-docker run --rm -it -e OPENAI.KEY=<your key> -e GITHUB.USER_TOKEN=<your token> codiumai/pr-agent --pr_url <pr_url> review
+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:
+
+- 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 --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
 ```
+
+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> 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
+```
+
 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.
 
-2. To ask a question about a PR, run the following command:
+---
 
-```
-docker run --rm -it -e OPENAI.KEY=<your key> -e GITHUB.USER_TOKEN=<your token> codiumai/pr-agent --pr_url <pr_url> ask "<your question>"
-```
-Note: If you want to ensure you're running a specific version of the Docker image, consider using the image's digest.
-The digest is a unique identifier for a specific version of an image. You can pull and run an image using its digest by referencing it like so: repository@sha256:digest. Always ensure you're using the correct and trusted digest for your operations.
 
-1. To request a review for a PR using a specific digest, run the following command:
+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
 ```
 
-2. To ask a question about a PR using the same digest, run the following command:
+Or you can run a [specific released versions](./RELEASE_NOTES.md) of pr-agent, for example:
-```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> ask "<your question>"
+codiumai/pr-agent@v0.9
 ```
-
-Possible questions you can ask include:
-
-- What is the main theme of this PR?
-- Is the PR ready for merge?
-- What are the main changes in this PR?
-- Should this PR be split into smaller parts?
-- Can you compose a rhymed song about this PR?
 
 ---
 
-### Method 2: Run from source
+### Run from source
 
 1. Clone this repository:
 
@@ -93,11 +100,14 @@ python3 -m pr_agent.cli --pr_url <pr_url> review
 python3 -m pr_agent.cli --pr_url <pr_url> ask <your question>
 python3 -m pr_agent.cli --pr_url <pr_url> describe
 python3 -m pr_agent.cli --pr_url <pr_url> improve
+python3 -m pr_agent.cli --pr_url <pr_url> add_docs
+python3 -m pr_agent.cli --issue_url <issue_url> similar_issue
+...
 ```
 
 ---
 
-### Method 3: Run as a GitHub Action
+### Run as a GitHub Action
 
 You can use our pre-built Github Action Docker image to run PR-Agent as a Github Action.
 
@@ -167,10 +177,11 @@ When you open your next PR, you should see a comment from `github-actions` bot w
 
 ---
 
-### Method 4: Run as a polling server
+### Run as a polling server
-Request reviews by tagging your Github user on a PR
+Request reviews by tagging your GitHub user on a PR
+
+Follow [steps 1-3](#run-as-a-github-action) of the GitHub Action setup.
 
-Follow steps 1-3 of method 2.
 Run the following command to start the server:
 
 ```
@@ -179,7 +190,7 @@ python pr_agent/servers/github_polling.py
 
 ---
 
-### Method 5: Run as a GitHub App
+### Run as a GitHub App
 Allowing you to automate the review process on your private or public repositories.
 
 1. Create a GitHub App from the [Github Developer Portal](https://docs.github.com/en/developers/apps/creating-a-github-app).
@@ -260,13 +271,13 @@ docker push codiumai/pr-agent:github_app  # Push to your Docker repository
 9. Install the app by navigating to the "Install App" tab and selecting your desired repositories.
 
 > **Note:** When running PR-Agent from GitHub App, the default configuration file (configuration.toml) will be loaded.<br>
-> However, you can override the default tool parameters by uploading a local configuration file<br>
+> However, you can override the default tool parameters by uploading a local configuration file `.pr_agent.toml`<br>
-> For more information please check out [CONFIGURATION.md](Usage.md#working-from-github-app-pre-built-repo)
+> For more information please check out the [USAGE GUIDE](./Usage.md#working-with-github-app)
 ---
 
-### Method 6 - Deploy as a Lambda Function
+### Deploy as a Lambda Function
 
-1. Follow steps 1-5 of [Method 5](#method-5-run-as-a-github-app).
+1. Follow steps 1-5 of [Method 5](#run-as-a-github-app).
 2. Build a docker image that can be used as a lambda function
     ```shell
     docker buildx build --platform=linux/amd64 . -t codiumai/pr-agent:serverless -f docker/Dockerfile.lambda
@@ -278,12 +289,12 @@ docker push codiumai/pr-agent:github_app  # Push to your Docker repository
     ```
 4. Create a lambda function that uses the uploaded image. Set the lambda timeout to be at least 3m.
 5. Configure the lambda function to have a Function URL.
-6. Go back to steps 8-9 of [Method 5](#method-5-run-as-a-github-app) with the function url as your Webhook URL.
+6. Go back to steps 8-9 of [Method 5](#run-as-a-github-app) with the function url as your Webhook URL.
     The Webhook URL would look like `https://<LAMBDA_FUNCTION_URL>/api/v1/github_webhooks`
 
 ---
 
-### Method 7 - AWS CodeCommit Setup
+### AWS CodeCommit Setup
 
 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:
 
@@ -353,7 +364,7 @@ PYTHONPATH="/PATH/TO/PROJECTS/pr-agent" python pr_agent/cli.py \
 
 ---
 
-### Method 8 - Run a GitLab webhook server
+### Run a GitLab webhook server
 
 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:
@@ -361,7 +372,7 @@ PYTHONPATH="/PATH/TO/PROJECTS/pr-agent" python pr_agent/cli.py \
 ```
 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 [Method 5](#method-5-run-as-a-github-app) steps 4-7.
+3. Follow the instructions to build the Docker image, setup a secrets file and deploy on your own server from [Method 5](#run-as-a-github-app) steps 4-7.
 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.
@@ -372,62 +383,36 @@ In the "Trigger" section, check the ‘comments’ and ‘merge request events
 
 
 
-### Method 9: Run as a Bitbucket Pipeline
+### Run as a Bitbucket Pipeline
 
 
-You can use our pre-build Bitbucket-Pipeline docker image to run as Bitbucket-Pipeline.
+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
 
 ```yaml
-  pipelines:
+pipelines:
     pull-requests:
       '**':
         - step:
-            name: PR Agent Pipeline
+            name: PR Agent Review
-            caches:
+            image: python:3.10
-              - pip
-            image: python:3.8
             services:
               - docker
             script:
-              - git clone https://github.com/Codium-ai/pr-agent.git
+              - docker run -e CONFIG.GIT_PROVIDER=bitbucket -e OPENAI.KEY=$OPENAI_API_KEY -e BITBUCKET.BEARER_TOKEN=$BITBUCKET_BEARER_TOKEN codiumai/pr-agent:latest --pr_url=https://bitbucket.org/$BITBUCKET_WORKSPACE/$BITBUCKET_REPO_SLUG/pull-requests/$BITBUCKET_PR_ID review
-              - cd pr-agent
-              - docker build -t bitbucket_runner:latest -f Dockerfile.bitbucket_pipeline .
-              - docker run -e OPENAI_API_KEY=$OPENAI_API_KEY -e BITBUCKET_BEARER_TOKEN=$BITBUCKET_BEARER_TOKEN -e BITBUCKET_PR_ID=$BITBUCKET_PR_ID -e BITBUCKET_REPO_SLUG=$BITBUCKET_REPO_SLUG -e BITBUCKET_WORKSPACE=$BITBUCKET_WORKSPACE bitbucket_runner:latest
 ```
 
-2. Add the following secret to your repository under Repository settings > Pipelines > Repository variables.
+2. Add the following secure variables to your repository under Repository settings > Pipelines > Repository variables.
 OPENAI_API_KEY: <your key>
 BITBUCKET_BEARER_TOKEN: <your token>
 
-3. To get BITBUCKET_BEARER_TOKEN follow these steps
+You can get a Bitbucket token for your repository by following Repository Settings -> Security -> Access Tokens.
-  So here is my step by step tutorial
-  i) Insert your workspace name instead of {workspace_name} and go to the following link in order to create an OAuth consumer.
-
-      https://bitbucket.org/{workspace_name}/workspace/settings/api
-
-      set callback URL to http://localhost:8976 (doesn't need to be a real server there)
-      select permissions: repository -> read
-
-  ii) use consumer's Key as a {client_id} and open the following URL in the browser
-
-      https://bitbucket.org/site/oauth2/authorize?client_id={client_id}&response_type=code
-
-  iii)
-      after you press "Grant access" in the browser it will redirect you to
-
-      http://localhost:8976?code=<CODE>
-
-  iv) use the code from the previous step and consumer's Key as a {client_id}, and consumer's Secret as {client_secret}
-
-      curl -X POST -u "{client_id}:{client_secret}" \
-          https://bitbucket.org/site/oauth2/access_token \
-          -d grant_type=authorization_code \
-          -d code={code} \
 
 
-After completing this steps, you just to place this access token in the repository varibles.
+### Run using CodiumAI-hosted Bitbucket app
+
+Please contact <support@codium.ai> or visit [CodiumAI pricing page](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.
 
 
 =======

README.md

@@ -28,16 +28,18 @@ CodiumAI `PR-Agent` is an open-source tool aiming to help developers review pull
 \
 ‣ **Update Changelog ([`/update_changelog`](./docs/UPDATE_CHANGELOG.md))**: Automatically updating the CHANGELOG.md file with the PR changes.
 \
-‣ **Find similar issue ([`/similar_issue`](./docs/SIMILAR_ISSUE.md))**: Automatically retrieves and presents similar issues
+‣ **Find Similar Issue ([`/similar_issue`](./docs/SIMILAR_ISSUE.md))**: Automatically retrieves and presents similar issues
 \
 ‣ **Add Documentation ([`/add_docs`](./docs/ADD_DOCUMENTATION.md))**: Automatically adds documentation to un-documented functions/classes in the PR.
+\
+‣ **Generate Custom Labels ([`/generate_labels`](./docs/GENERATE_CUSTOM_LABELS.md))**: Automatically suggests custom labels based on the PR code changes.
 
-See the [Usage Guide](./Usage.md) for instructions how to run the different tools from _CLI_, _online usage_, Or by _automatically triggering_ them when a new PR is opened.
+See the [Installation Guide](./INSTALL.md) for instructions how to install and run the tool on different platforms.
+
+See the [Usage Guide](./Usage.md) for instructions how to run the different tools from _CLI_, _online usage_, or by _automatically triggering_ them when a new PR is opened.
 
 See the [Tools Guide](./docs/TOOLS_GUIDE.md) for detailed description of the different tools.
 
-See the [Release notes](./RELEASE_NOTES.md) for updates on the latest changes.
-
 <h3>Example results:</h3>
 </div>
 <h4><a href="https://github.com/Codium-ai/pr-agent/pull/229#issuecomment-1687561986">/describe:</a></h4>
@@ -115,6 +117,7 @@ See the [Release notes](./RELEASE_NOTES.md) for updates on the latest changes.
 |       | Update CHANGELOG.md                         |   :white_check_mark:    |   :white_check_mark:    |   :white_check_mark:        |   :white_check_mark:    |          |       |
 |       | Find similar issue                          |   :white_check_mark:    |                         |                             |          |          |       |
 |       | Add Documentation                           |   :white_check_mark:    |   :white_check_mark:    |   :white_check_mark:        |   :white_check_mark:    |          |    :white_check_mark:    |
+|       | Generate Labels                           |   :white_check_mark:    |   :white_check_mark:    |         |     |          |      |
 |       |                                             |        |        |      |      |      |
 | USAGE | CLI                                         |   :white_check_mark:    |   :white_check_mark:    |   :white_check_mark:       |   :white_check_mark:    |   :white_check_mark:    |
 |       | App / webhook                               |   :white_check_mark:    |   :white_check_mark:    |           |          |          |
@@ -204,6 +207,9 @@ Here are some advantages of PR-Agent:
   - [x] Documentation (is the PR properly documented)
   - [ ] ...
 
+See the [Release notes](./RELEASE_NOTES.md) for updates on the latest changes.
+
+
 ## Similar Projects
 
 - [CodiumAI - Meaningful tests for busy devs](https://github.com/Codium-ai/codiumai-vscode-release) (although various capabilities are much more advanced in the CodiumAI IDE plugins)
@@ -211,7 +217,12 @@ Here are some advantages of PR-Agent:
 - [openai-pr-reviewer](https://github.com/coderabbitai/openai-pr-reviewer)
 - [CodeReview BOT](https://github.com/anc95/ChatGPT-CodeReview)
 - [AI-Maintainer](https://github.com/merwanehamadi/AI-Maintainer)
-  
+
+## Data Privacy
+
+If you use self-host PR-Agent, e.g. via CLI running on your computer, with your OpenAI API key, it is between you and OpenAI. You can read their API data privacy policy here:
+https://openai.com/enterprise-privacy
+
 ## Links
 
 [![Join our Discord community](https://raw.githubusercontent.com/Codium-ai/codiumai-vscode-release/main/media/docs/Joincommunity.png)](https://discord.gg/kG35uSHDBc)

RELEASE_NOTES.md

@@ -1,3 +1,50 @@
+## [Version 0.10] - 2023-11-15
+- codiumai/pr-agent:0.10
+- codiumai/pr-agent:0.10-github_app
+- codiumai/pr-agent:0.10-bitbucket-app
+- codiumai/pr-agent:0.10-gitlab_webhook
+- codiumai/pr-agent:0.10-github_polling
+- codiumai/pr-agent:0.10-github_action
+
+### Added::Algo
+- Review tool now works with [persistent comments](https://github.com/Codium-ai/pr-agent/pull/451) by default
+- Bitbucket now publishes review suggestions with [code links](https://github.com/Codium-ai/pr-agent/pull/428)
+- Enabling to limit [max number of tokens](https://github.com/Codium-ai/pr-agent/pull/437/files)
+- Support ['gpt-4-1106-preview'](https://github.com/Codium-ai/pr-agent/pull/437/files) model
+- Support for Google's [Vertex AI](https://github.com/Codium-ai/pr-agent/pull/436)
+- Implementing [thresholds](https://github.com/Codium-ai/pr-agent/pull/423) for incremental PR reviews
+- Decoupled custom labels from [PR type](https://github.com/Codium-ai/pr-agent/pull/431)
+
+### Fixed
+- Fixed bug in [parsing quotes](https://github.com/Codium-ai/pr-agent/pull/446) in CLI
+- Preserve [user-added labels](https://github.com/Codium-ai/pr-agent/pull/433) in pull requests
+- Bug fixes in GitLab and BitBucket
+
+## [Version 0.9] - 2023-10-29
+- codiumai/pr-agent:0.9
+- codiumai/pr-agent:0.9-github_app
+- codiumai/pr-agent:0.9-bitbucket-app
+- codiumai/pr-agent:0.9-gitlab_webhook
+- codiumai/pr-agent:0.9-github_polling
+- codiumai/pr-agent:0.9-github_action
+
+### Added::Algo
+- New tool - [generate_labels](https://github.com/Codium-ai/pr-agent/blob/main/docs/GENERATE_CUSTOM_LABELS.md)
+- New ability to use [customize labels](https://github.com/Codium-ai/pr-agent/blob/main/docs/GENERATE_CUSTOM_LABELS.md#how-to-enable-custom-labels) on the `review` and `describe` tools.
+- New tool - [add_docs](https://github.com/Codium-ai/pr-agent/blob/main/docs/ADD_DOCUMENTATION.md)
+- GitHub Action: Can now use a `.pr_agent.toml` file to control configuration parameters (see [Usage Guide](./Usage.md#working-with-github-action)).
+- GitHub App: Added ability to trigger tools on [push events](https://github.com/Codium-ai/pr-agent/blob/main/Usage.md#github-app-automatic-tools-for-new-code-pr-push)
+- Support custom domain URLs for Azure devops integration (see [link](https://github.com/Codium-ai/pr-agent/pull/381)).
+- PR Description default mode is now in [bullet points](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L35).
+
+### Added::Documentation
+Significant documentation updates (see [Installation Guide](https://github.com/Codium-ai/pr-agent/blob/main/INSTALL.md), [Usage Guide](https://github.com/Codium-ai/pr-agent/blob/main/Usage.md), and [Tools Guide](https://github.com/Codium-ai/pr-agent/blob/main/docs/TOOLS_GUIDE.md))
+
+### Fixed
+- Fixed support for BitBucket pipeline (see [link](https://github.com/Codium-ai/pr-agent/pull/386))
+- Fixed a bug in `review -i` tool
+- Added blacklist for specific file extensions in `add_docs` tool (see [link](https://github.com/Codium-ai/pr-agent/pull/385/))
+
 ## [Version 0.8] - 2023-09-27
 - codiumai/pr-agent:0.8
 - codiumai/pr-agent:0.8-github_app

Usage.md

@@ -12,7 +12,7 @@
 
 ### Introduction
 
-See the **[installation guide](/INSTALL.md)** for instructions on how to setup PR-Agent. After installation, there are three basic ways to invoke CodiumAI PR-Agent:
+After [installation](/INSTALL.md), 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 PR-Agent tools to run automatically when a new PR is opened
@@ -108,19 +108,41 @@ Any configuration value in [configuration file](pr_agent/settings/configuration.
 
 
 ### Working with GitHub App
-When running PR-Agent from [GitHub App](INSTALL.md#method-5-run-as-a-github-app), the default configurations from a pre-built docker will be initially loaded.
+When running PR-Agent from GitHub App, the default [configuration file](pr_agent/settings/configuration.toml) from a pre-built docker will be initially loaded.
+
+By uploading a local `.pr_agent.toml` file, you can edit and customize any configuration parameter.
+
+For example, if you set in `.pr_agent.toml`:
+
+```
+[pr_reviewer]
+num_code_suggestions=1
+```
+
+Than you will overwrite the default number of code suggestions to be 1.
 
 #### GitHub app automatic tools
-The [github_app](pr_agent/settings/configuration.toml#L56) section defines GitHub app specific configurations.
+The [github_app](pr_agent/settings/configuration.toml#L76) section defines GitHub app-specific configurations.  
-An important parameter is `pr_commands`, which is a list of tools that will be **run automatically** when a new PR is opened:
+In this section you can define configurations to control the conditions for which tools will **run automatically**.  
+
+##### GitHub app automatic tools for PR actions
+The GitHub app can respond to the following actions on a PR:
+1. `opened` - Opening a new PR
+2. `reopened` - Reopening a closed PR
+3. `ready_for_review` - Moving a PR from Draft to Open
+4. `review_requested` - Specifically requesting review (in the PR reviewers list) from the `github-actions[bot]` user
+
+The configuration parameter `handle_pr_actions` defines the list of actions for which the GitHub app will trigger the PR-Agent.  
+The configuration parameter `pr_commands` defines the list of tools that will be **run automatically** when one of the above action happens (e.g. a new PR is opened):
 ```
 [github_app]
+handle_pr_actions = ['opened', 'reopened', 'ready_for_review', 'review_requested']
 pr_commands = [
     "/describe --pr_description.add_original_user_description=true --pr_description.keep_original_user_title=true",
     "/auto_review",
 ]
 ```
-This means that when a new PR is opened, PR-Agent will run the `describe` and `auto_review` tools.
+This means that when a new PR is opened/reopened or marked as ready for review, PR-Agent will run the `describe` and `auto_review` tools.  
 For the describe tool, the `add_original_user_description` and `keep_original_user_title` parameters will be set to true.
 
 You can override the default tool parameters by uploading a local configuration file called `.pr_agent.toml` to the root of your repo.
@@ -135,11 +157,27 @@ When a new PR is opened, PR-Agent will run the `describe` tool with the above pa
 To cancel the automatic run of all the tools, set:
 ```
 [github_app]
-pr_commands = ""
+handle_pr_actions = []
 ```
 
+##### GitHub app automatic tools for new code (PR push)
+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.
 
-Note that a local `.pr_agent.toml` file enables you to edit and customize the default parameters of any tool, not just the ones that are run automatically.
+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.
+```
+[github_app]
+handle_push_trigger = true
+push_commands = [
+    "/describe --pr_description.add_original_user_description=true --pr_description.keep_original_user_title=true",
+    "/auto_review -i --pr_reviewer.remove_previous_review_comment=true",
+]
+```
+The means that when new code is pushed to the PR, the PR-Agent will run the `describe` and incremental `auto_review` tools.  
+For the describe tool, the `add_original_user_description` and `keep_original_user_title` parameters will be set to true.  
+For the `auto_review` tool, it will run in incremental mode, and the `remove_previous_review_comment` parameter will be set to true.
+
+Much like the configurations for `pr_commands`, you can override the default tool paramteres by uploading a local configuration file to the root of your repo.
 
 #### Editing the prompts
 The prompts for the various PR-Agent tools are defined in the `pr_agent/settings` folder.
@@ -159,21 +197,28 @@ user="""
 Note that the new prompt will need to generate an output compatible with the relevant [post-process function](./pr_agent/tools/pr_description.py#L137).
 
 ### Working with GitHub Action
-You can configure settings in GitHub action by adding environment variables under the env section in `.github/workflows/pr_agent.yml` file. Some examples:
+You can configure settings in 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:
-        # ... previous environment values
+        OPENAI_KEY: ${{ secrets.OPENAI_KEY }} # Make sure to add your OpenAI key to your repo secrets
-        OPENAI.ORG: "<Your organization name under your OpenAI account>"
+        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Make sure to add your GitHub token to your repo secrets
-        PR_REVIEWER.REQUIRE_TESTS_REVIEW: "false" # Disable tests review
+        github_action.auto_review: "true" # enable\disable auto review
-        PR_CODE_SUGGESTIONS.NUM_CODE_SUGGESTIONS: 6 # Increase number of code suggestions
+        github_action.auto_describe: "true" # enable\disable auto describe
-        github_action.auto_review: "true" # Enable auto review
+        github_action.auto_improve: "false" # enable\disable auto improve
-        github_action.auto_describe: "true" # Enable auto describe
-        github_action.auto_improve: "false" # Disable auto improve
 ```
-specifically, `github_action.auto_review`, `github_action.auto_describe` and `github_action.auto_improve` are used to enable/disable automatic tools that run when a new PR is opened.
+`github_action.auto_review`, `github_action.auto_describe` and `github_action.auto_improve` are used to enable/disable automatic tools that run when a new PR is opened.
-
 If not set, the default option is that only the `review` tool will run automatically when a new PR is opened.
 
+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` file in the root of your repo, similar to the GitHub App usage.
+
+For example, you can set an environment variable: `pr_description.add_original_user_description=false`, or add a `.pr_agent.toml` file with the following content:
+```
+[pr_description]
+add_original_user_description = false
+```
+
+
 ### Changing a model
 
 See [here](pr_agent/algo/__init__.py) for the list of available models.
@@ -258,6 +303,23 @@ key = ...
 
 Also review the [AiHandler](pr_agent/algo/ai_handler.py) file for instruction how to set keys for other models.
 
+#### Vertex AI
+
+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"
+
+[vertexai] # in .secrets.toml
+vertex_project = "my-google-cloud-project"
+vertex_location = ""
+```
+
+Your [application default credentials](https://cloud.google.com/docs/authentication/application-default-credentials) will be used for authentication so there is no need to set explicit credentials in most environments.
+
+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.
+
 ### Working with large PRs
 
 The default mode of CodiumAI is to have a single call per tool, using GPT-4, which has a token limit of 8000 tokens.

bitbucket_pipeline/entrypoint.sh

@@ -1,2 +0,0 @@
-#!/bin/bash
-python /app/pr_agent/servers/bitbucket_pipeline_runner.py

docs/DESCRIBE.md

@@ -26,19 +26,17 @@ Under the section 'pr_description', the [configuration file](./../pr_agent/setti
 - `keep_original_user_title`: if set to true, the tool will keep the original PR title, and won't change it. Default is false.
 
 - `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...".
-
+- To enable `custom labels`, apply the configuration changes described [here](./GENERATE_CUSTOM_LABELS.md#configuration-changes)
-#### Markers template
+- `enable_pr_type`: if set to false, it will not show the `PR type` as a text value in the description content. Default is true.
+  
+### Markers template
 
 markers enable to easily integrate user's content and auto-generated content, with a template-like mechanism.
 
-- `use_description_markers`: if set to true, the tool will use markers template. It replaces every marker of the form `pr_agent:marker_name` with the relevant content. Default is false.
-
 For example, if the PR original description was:
 ```
 User content...
 
-## PR Type:
-pr_agent:pr_type
 
 ## PR Description:
 pr_agent:summary
@@ -46,6 +44,21 @@ pr_agent:summary
 ## PR Walkthrough:
 pr_agent:walkthrough
 ```
-The marker `pr_agent:pr_type` will be replaced with the PR type, `pr_agent:summary` will be replaced with the PR summary, and `pr_agent:walkthrough` will be replaced with the PR walkthrough.
+The marker `pr_agent:summary` will be replaced with the PR summary, and `pr_agent:walkthrough` will be replaced with the PR walkthrough.
 
+##### Example:
+```
+        env:
+          pr_description.use_description_markers: 'true'
+```          
+
+<kbd><img src=./../pics/describe_markers_before.png width="768"></kbd>
+
+==>
+
+<kbd><img src=./../pics/describe_markers_after.png width="768"></kbd>
+
+##### Configuration params:
+
+- `use_description_markers`: if set to true, the tool will use markers template. It replaces every marker of the form `pr_agent:marker_name` with the relevant content. Default is false.
 - `include_generated_by_header`: if set to true, the tool will add a dedicated header: 'Generated by PR Agent at ...' to any automatic content. Default is true.

docs/GENERATE_CUSTOM_LABELS.md

@@ -0,0 +1,41 @@
+# Generate Custom Labels
+The `generate_labels` tool scans the PR code changes, and given a list of labels and their descriptions, it automatically suggests labels that match the PR code changes.
+
+It can be invoked manually by commenting on any PR:
+```
+/generate_labels
+```
+For example:
+
+If we wish to add detect changes to SQL queries in a given PR, we can add the following custom label along with its description:
+
+<kbd><img src=./../pics/custom_labels_list.png width="768"></kbd>
+
+When running the `generate_labels` tool on a PR that includes changes in SQL queries, it will automatically suggest the custom label:
+<kbd><img src=./../pics/custom_label_published.png width="768"></kbd>
+
+### How to enable custom labels
+
+Note that in addition to the dedicated tool `generate_labels`, the custom labels will also be used by the `review` and `describe` tools.
+
+#### CLI
+To enable custom labels, you need to apply the [configuration changes](#configuration-changes) to the [custom_labels file](./../pr_agent/settings/custom_labels.toml):
+
+#### GitHub Action and GitHub App
+To enable custom labels, you need to apply the [configuration changes](#configuration-changes) to the local `.pr_agent.toml` file in you repository.
+
+#### Configuration changes
+ - Change `enable_custom_labels` to True: This will turn off the default labels and enable the custom labels provided in the custom_labels.toml file.
+ - Add the custom labels. It should be formatted as follows:
+
+```
+[config]
+enable_custom_labels=true
+
+[custom_labels."Custom Label Name"]
+description = "Description of when AI should suggest this label"
+
+[custom_labels."Custom Label 2"]
+description = "Description of when AI should suggest this label 2"
+```
+

docs/IMPROVE.md

@@ -31,4 +31,15 @@ Under the section 'pr_code_suggestions', the [configuration file](./../pr_agent/
 - `num_code_suggestions_per_chunk`: number of code suggestions provided by the 'improve' tool, per chunk. Default is 8.
 - `rank_extended_suggestions`: if set to true, the tool will rank the suggestions, based on importance. Default is true.
 - `max_number_of_calls`: maximum number of chunks. Default is 5.
-- `final_clip_factor`: factor to remove suggestions with low confidence. Default is 0.9.
+- `final_clip_factor`: factor to remove suggestions with low confidence. Default is 0.9.
+
+
+#### A note on code suggestions quality
+
+- With current level of AI for code (GPT-4), mistakes can happen. Not all the suggestions will be perfect, and a user should not accept all of them automatically.
+
+- Suggestions are not meant to be [simplistic](./../pr_agent/settings/pr_code_suggestions_prompts.toml#L34). Instead, they aim to give deep feedback and raise questions, ideas and thoughts to the user, who can then use his judgment, experience, and understanding of the code base.
+
+- Recommended to use the 'extra_instructions' field to guide the model to suggestions that are more relevant to the specific needs of the project.
+
+- Best quality will be obtained by using 'improve --extended' mode.

docs/REVIEW.md

@@ -16,24 +16,46 @@ The `review` tool can also be triggered automatically every time a new PR is ope
 
 Under the section 'pr_reviewer', the [configuration file](./../pr_agent/settings/configuration.toml#L16) contains options to customize the 'review' tool:
 
+#### enable\\disable features
 - `require_focused_review`: if set to true, the tool will add a section - 'is the PR a focused one'. Default is false.
 - `require_score_review`: if set to true, the tool will add a section that scores the PR. Default is false.
 - `require_tests_review`: if set to true, the tool will add a section that checks if the PR contains tests. Default is true.
 - `require_security_review`: if set to true, the tool will add a section that checks if the PR contains security issues. Default is true.
 - `require_estimate_effort_to_review`: if set to true, the tool will add a section that estimates thed effort needed to review the PR. Default is true.
+#### general options
 - `num_code_suggestions`: number of code suggestions provided by the 'review' tool. Default is 4.
 - `inline_code_comments`: if set to true, the tool will publish the code suggestions as comments on the code diff. Default is false.
 - `automatic_review`: if set to false, no automatic reviews will be done. Default is true.
+- `remove_previous_review_comment`: if set to true, the tool will remove the previous review comment before adding a new one. Default is false.
+- `persistent_comment`: if set to true, the review comment will be persistent, meaning that every new review request will edit the previous one. Default is true.
 - `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...".
+#### review labels
+- `enable_review_labels_security`: if set to true, the tool will publish a 'possible security issue' label if it detects a security issue. Default is true.
+- `enable_review_labels_effort`: if set to true, the tool will publish a 'Review effort [1-5]: x' label. Default is false.
+- To enable `custom labels`, apply the configuration changes described [here](./GENERATE_CUSTOM_LABELS.md#configuration-changes) 
 ####  Incremental Mode
 For an incremental review, which 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, the following command can be used:
 ```
-/improve -i
+/review -i
 ```
 Note that the incremental mode is only available for GitHub.
 
 <kbd><img src=./../pics/incremental_review.png width="768"></kbd>
 
+Under the section 'pr_reviewer', the [configuration file](./../pr_agent/settings/configuration.toml#L16) contains options to customize the 'review -i' tool.  
+These configurations can be used to control the rate at which the incremental review tool will create new review comments when invoked automatically, to prevent making too much noise in the PR.
+- `minimal_commits_for_incremental_review`: Minimal number of commits since the last review that are required to create incremental review.
+If there are less than the specified number of commits since the last review, the tool will not perform any action.
+Default is 0 - the tool will always run, no matter how many commits since the last review.
+- `minimal_minutes_for_incremental_review`: Minimal number of minutes that need to pass since the last reviewed commit to create incremental review.
+If less that the specified number of minutes have passed between the last reviewed commit and running this command, the tool will not perform any action. 
+Default is 0 - the tool will always run, no matter how much time have passed since the last reviewed commit.
+- `require_all_thresholds_for_incremental_review`: If set to true, all the previous thresholds must be met for incremental review to run. If false, only one is enough to run the tool.
+For example, if `minimal_commits_for_incremental_review=2` and `minimal_minutes_for_incremental_review=2`, and we have 3 commits since the last review, but the last reviewed commit is from 1 minute ago:
+When `require_all_thresholds_for_incremental_review=true` the incremental review __will not__ run, because only 1 out of 2 conditions were met (we have enough commits but the last review is too recent),
+but when `require_all_thresholds_for_incremental_review=false` the incremental review __will__ run, because one condition is enough (we have 3 commits which is more than the configured 2).
+Default is false - the tool will run as long as at least once conditions is met.
+
 #### PR Reflection
 By invoking:
 ```
@@ -43,4 +65,15 @@ The tool will first ask the author questions about the PR, and will guide the re
 
 <kbd><img src=./../pics/reflection_questions.png width="768"></kbd>
 <kbd><img src=./../pics/reflection_answers.png width="768"></kbd>
-<kbd><img src=./../pics/reflection_insights.png width="768"></kbd>
+<kbd><img src=./../pics/reflection_insights.png width="768"></kbd>
+
+
+#### A note on code suggestions quality
+
+- With current level of AI for code (GPT-4), mistakes can happen. Not all the suggestions will be perfect, and a user should not accept all of them automatically.
+
+- Suggestions are not meant to be [simplistic](./../pr_agent/settings/pr_reviewer_prompts.toml#L29). Instead, they aim to give deep feedback and raise questions, ideas and thoughts to the user, who can then use his judgment, experience, and understanding of the code base.
+
+- Recommended to use the 'extra_instructions' field to guide the model to suggestions that are more relevant to the specific needs of the project.
+
+- Unlike the 'review' feature, which does a lot of things, the ['improve --extended'](./IMPROVE.md) feature is dedicated only to suggestions, and usually gives better results.

docs/TOOLS_GUIDE.md

@@ -6,5 +6,6 @@
 - [SIMILAR_ISSUE](./SIMILAR_ISSUE.md)
 - [UPDATE CHANGELOG](./UPDATE_CHANGELOG.md)
 - [ADD DOCUMENTATION](./ADD_DOCUMENTATION.md)
+- [GENERATE CUSTOM LABELS](./GENERATE_CUSTOM_LABELS.md)
 
 See the **[installation guide](/INSTALL.md)** for instructions on how to setup PR-Agent.

pr_agent/agent/pr_agent.py

@@ -1,21 +1,18 @@
-import logging
-import os
 import shlex
-import tempfile
 
 from pr_agent.algo.utils import update_settings_from_args
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.utils import apply_repo_settings
 from pr_agent.tools.pr_add_docs import PRAddDocs
 from pr_agent.tools.pr_code_suggestions import PRCodeSuggestions
+from pr_agent.tools.pr_config import PRConfig
 from pr_agent.tools.pr_description import PRDescription
+from pr_agent.tools.pr_generate_labels import PRGenerateLabels
 from pr_agent.tools.pr_information_from_user import PRInformationFromUser
-from pr_agent.tools.pr_similar_issue import PRSimilarIssue
 from pr_agent.tools.pr_questions import PRQuestions
 from pr_agent.tools.pr_reviewer import PRReviewer
+from pr_agent.tools.pr_similar_issue import PRSimilarIssue
 from pr_agent.tools.pr_update_changelog import PRUpdateChangelog
-from pr_agent.tools.pr_config import PRConfig
 
 command2class = {
     "auto_review": PRReviewer,
@@ -35,6 +32,7 @@ command2class = {
     "settings": PRConfig,
     "similar_issue": PRSimilarIssue,
     "add_docs": PRAddDocs,
+    "generate_labels": PRGenerateLabels,
 }
 
 commands = list(command2class.keys())
@@ -48,10 +46,13 @@ class PRAgent:
         apply_repo_settings(pr_url)
 
         # Then, apply user specific settings if exists
-        request = request.replace("'", "\\'")
+        if isinstance(request, str):
-        lexer = shlex.shlex(request, posix=True)
+            request = request.replace("'", "\\'")
-        lexer.whitespace_split = True
+            lexer = shlex.shlex(request, posix=True)
-        action, *args = list(lexer)
+            lexer.whitespace_split = True
+            action, *args = list(lexer)
+        else:
+            action, *args = request
         args = update_settings_from_args(args)
 
         action = action.lstrip("/").lower()

pr_agent/algo/__init__.py

@@ -8,9 +8,14 @@ MAX_TOKENS = {
     'gpt-4': 8000,
     'gpt-4-0613': 8000,
     'gpt-4-32k': 32000,
+    'gpt-4-1106-preview': 128000, # 128K, but may be limited by config.max_model_tokens
     'claude-instant-1': 100000,
     'claude-2': 100000,
     'command-nightly': 4096,
     'replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1': 4096,
-    'meta-llama/Llama-2-7b-chat-hf': 4096
+    'meta-llama/Llama-2-7b-chat-hf': 4096,
+    'vertex_ai/codechat-bison': 6144,
+    'vertex_ai/codechat-bison-32k': 32000,
+    'codechat-bison': 6144,
+    'codechat-bison-32k': 32000,
 }

pr_agent/algo/ai_handler.py

@@ -1,4 +1,3 @@
-import logging
 import os
 
 import litellm
@@ -7,6 +6,8 @@ from litellm import acompletion
 from openai.error import APIError, RateLimitError, Timeout, TryAgain
 from retry import retry
 from pr_agent.config_loader import get_settings
+from pr_agent.log import get_logger
+
 OPENAI_RETRIES = 5
 
 
@@ -22,39 +23,43 @@ class AiHandler:
         Initializes the OpenAI API key and other settings from a configuration file.
         Raises a ValueError if the OpenAI key is missing.
         """
-        try:
+        self.azure = False
+
+        if get_settings().get("OPENAI.KEY", None):
             openai.api_key = get_settings().openai.key
             litellm.openai_key = get_settings().openai.key
-            if get_settings().get("litellm.use_client"):
+        if get_settings().get("litellm.use_client"):
-                litellm_token = get_settings().get("litellm.LITELLM_TOKEN")
+            litellm_token = get_settings().get("litellm.LITELLM_TOKEN")
-                assert litellm_token, "LITELLM_TOKEN is required"
+            assert litellm_token, "LITELLM_TOKEN is required"
-                os.environ["LITELLM_TOKEN"] = litellm_token
+            os.environ["LITELLM_TOKEN"] = litellm_token
-                litellm.use_client = True
+            litellm.use_client = True
-            self.azure = False
+        if get_settings().get("OPENAI.ORG", None):
-            if get_settings().get("OPENAI.ORG", None):
+            litellm.organization = get_settings().openai.org
-                litellm.organization = get_settings().openai.org
+        if get_settings().get("OPENAI.API_TYPE", None):
-            if get_settings().get("OPENAI.API_TYPE", None):
+            if get_settings().openai.api_type == "azure":
-                if get_settings().openai.api_type == "azure":
+                self.azure = True
-                    self.azure = True
+                litellm.azure_key = get_settings().openai.key
-                    litellm.azure_key = get_settings().openai.key
+        if get_settings().get("OPENAI.API_VERSION", None):
-            if get_settings().get("OPENAI.API_VERSION", None):
+            litellm.api_version = get_settings().openai.api_version
-                litellm.api_version = get_settings().openai.api_version
+        if get_settings().get("OPENAI.API_BASE", None):
-            if get_settings().get("OPENAI.API_BASE", None):
+            litellm.api_base = get_settings().openai.api_base
-                litellm.api_base = get_settings().openai.api_base
+        if get_settings().get("ANTHROPIC.KEY", None):
-            if get_settings().get("ANTHROPIC.KEY", None):
+            litellm.anthropic_key = get_settings().anthropic.key
-                litellm.anthropic_key = get_settings().anthropic.key
+        if get_settings().get("COHERE.KEY", None):
-            if get_settings().get("COHERE.KEY", None):
+            litellm.cohere_key = get_settings().cohere.key
-                litellm.cohere_key = get_settings().cohere.key
+        if get_settings().get("REPLICATE.KEY", None):
-            if get_settings().get("REPLICATE.KEY", None):
+            litellm.replicate_key = get_settings().replicate.key
-                litellm.replicate_key = get_settings().replicate.key
+        if get_settings().get("REPLICATE.KEY", None):
-            if get_settings().get("REPLICATE.KEY", None):
+            litellm.replicate_key = get_settings().replicate.key
-                litellm.replicate_key = get_settings().replicate.key
+        if get_settings().get("HUGGINGFACE.KEY", None):
-            if get_settings().get("HUGGINGFACE.KEY", None):
+            litellm.huggingface_key = get_settings().huggingface.key
-                litellm.huggingface_key = get_settings().huggingface.key
+            if get_settings().get("HUGGINGFACE.API_BASE", None):
-                if get_settings().get("HUGGINGFACE.API_BASE", None):
+                litellm.api_base = get_settings().huggingface.api_base
-                    litellm.api_base = get_settings().huggingface.api_base
+        if get_settings().get("VERTEXAI.VERTEX_PROJECT", None):
-        except AttributeError as e:
+            litellm.vertex_project = get_settings().vertexai.vertex_project
-            raise ValueError("OpenAI key is required") from e
+            litellm.vertex_location = get_settings().get(
+                "VERTEXAI.VERTEX_LOCATION", None
+            )
 
     @property
     def deployment_id(self):
@@ -88,34 +93,34 @@ class AiHandler:
         try:
             deployment_id = self.deployment_id
             if get_settings().config.verbosity_level >= 2:
-                logging.debug(
+                get_logger().debug(
                     f"Generating completion with {model}"
                     f"{(' from deployment ' + deployment_id) if deployment_id else ''}"
                 )
             if self.azure:
                 model = 'azure/' + model
+            messages = [{"role": "system", "content": system}, {"role": "user", "content": user}]
             response = await acompletion(
                 model=model,
                 deployment_id=deployment_id,
-                messages=[
+                messages=messages,
-                    {"role": "system", "content": system},
-                    {"role": "user", "content": user}
-                ],
                 temperature=temperature,
                 force_timeout=get_settings().config.ai_timeout
             )
         except (APIError, Timeout, TryAgain) as e:
-            logging.error("Error during OpenAI inference: ", e)
+            get_logger().error("Error during OpenAI inference: ", e)
             raise
         except (RateLimitError) as e:
-            logging.error("Rate limit error during OpenAI inference: ", e)
+            get_logger().error("Rate limit error during OpenAI inference: ", e)
             raise
         except (Exception) as e:
-            logging.error("Unknown error during OpenAI inference: ", e)
+            get_logger().error("Unknown error during OpenAI inference: ", e)
             raise TryAgain from e
         if response is None or len(response["choices"]) == 0:
             raise TryAgain
         resp = response["choices"][0]['message']['content']
         finish_reason = response["choices"][0]["finish_reason"]
-        print(resp, finish_reason)
+        usage = response.get("usage")
+        get_logger().info("AI response", response=resp, messages=messages, finish_reason=finish_reason,
+                          model=model, usage=usage)
         return resp, finish_reason

pr_agent/algo/file_filter.py

@@ -23,7 +23,7 @@ def filter_ignored(files):
 
         # keep filenames that _don't_ match the ignore regex
         for r in compiled_patterns:
-            files = [f for f in files if not r.match(f.filename)]
+            files = [f for f in files if (f.filename and not r.match(f.filename))]
 
     except Exception as e:
         print(f"Could not filter file list: {e}")

pr_agent/algo/git_patch_processing.py

@@ -1,8 +1,10 @@
 from __future__ import annotations
-import logging
+
 import re
 
 from pr_agent.config_loader import get_settings
+from pr_agent.git_providers.git_provider import EDIT_TYPE
+from pr_agent.log import get_logger
 
 
 def extend_patch(original_file_str, patch_str, num_lines) -> str:
@@ -63,7 +65,7 @@ def extend_patch(original_file_str, patch_str, num_lines) -> str:
             extended_patch_lines.append(line)
     except Exception as e:
         if get_settings().config.verbosity_level >= 2:
-            logging.error(f"Failed to extend patch: {e}")
+            get_logger().error(f"Failed to extend patch: {e}")
         return patch_str
 
     # finish previous hunk
@@ -114,7 +116,7 @@ def omit_deletion_hunks(patch_lines) -> str:
 
 
 def handle_patch_deletions(patch: str, original_file_content_str: str,
-                           new_file_content_str: str, file_name: str) -> str:
+                           new_file_content_str: str, file_name: str, edit_type: EDIT_TYPE = EDIT_TYPE.UNKNOWN) -> str:
     """
     Handle entire file or deletion patches.
 
@@ -131,17 +133,17 @@ def handle_patch_deletions(patch: str, original_file_content_str: str,
         str: The modified patch with deletion hunks omitted.
 
     """
-    if not new_file_content_str:
+    if not new_file_content_str and edit_type != EDIT_TYPE.ADDED:
         # logic for handling deleted files - don't show patch, just show that the file was deleted
         if get_settings().config.verbosity_level > 0:
-            logging.info(f"Processing file: {file_name}, minimizing deletion file")
+            get_logger().info(f"Processing file: {file_name}, minimizing deletion file")
         patch = None # file was deleted
     else:
         patch_lines = patch.splitlines()
         patch_new = omit_deletion_hunks(patch_lines)
         if patch != patch_new:
             if get_settings().config.verbosity_level > 0:
-                logging.info(f"Processing file: {file_name}, hunks were deleted")
+                get_logger().info(f"Processing file: {file_name}, hunks were deleted")
             patch = patch_new
     return patch
 

pr_agent/algo/pr_processing.py

@@ -1,24 +1,26 @@
 from __future__ import annotations
 
 import difflib
-import logging
 import re
 import traceback
 from typing import Any, Callable, List, Tuple
 
 from github import RateLimitExceededException
 
-from pr_agent.algo import MAX_TOKENS
 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, get_token_encoder
+from pr_agent.algo.utils import get_max_tokens
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers.git_provider import FilePatchInfo, GitProvider
+from pr_agent.git_providers.git_provider import FilePatchInfo, GitProvider, EDIT_TYPE
+from pr_agent.log import get_logger
 
 DELETED_FILES_ = "Deleted files:\n"
 
-MORE_MODIFIED_FILES_ = "More modified files:\n"
+MORE_MODIFIED_FILES_ = "Additional modified files (insufficient token budget to process):\n"
+
+ADDED_FILES_ = "Additional added files (insufficient token budget to process):\n"
 
 OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD = 1000
 OUTPUT_BUFFER_TOKENS_HARD_THRESHOLD = 600
@@ -51,7 +53,7 @@ def get_pr_diff(git_provider: GitProvider, token_handler: TokenHandler, model: s
     try:
         diff_files = git_provider.get_diff_files()
     except RateLimitExceededException as e:
-        logging.error(f"Rate limit exceeded for git provider API. original message {e}")
+        get_logger().error(f"Rate limit exceeded for git provider API. original message {e}")
         raise
 
     diff_files = filter_ignored(diff_files)
@@ -64,14 +66,17 @@ def get_pr_diff(git_provider: GitProvider, token_handler: TokenHandler, model: s
         pr_languages, token_handler, add_line_numbers_to_hunks, patch_extra_lines=PATCH_EXTRA_LINES)
 
     # if we are under the limit, return the full diff
-    if total_tokens + OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD < MAX_TOKENS[model]:
+    if total_tokens + OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD < get_max_tokens(model):
         return "\n".join(patches_extended)
 
     # if we are over the limit, start pruning
-    patches_compressed, modified_file_names, deleted_file_names = \
+    patches_compressed, modified_file_names, deleted_file_names, added_file_names = \
         pr_generate_compressed_diff(pr_languages, token_handler, model, add_line_numbers_to_hunks)
 
     final_diff = "\n".join(patches_compressed)
+    if added_file_names:
+        added_list_str = ADDED_FILES_ + "\n".join(added_file_names)
+        final_diff = final_diff + "\n\n" + added_list_str
     if modified_file_names:
         modified_list_str = MORE_MODIFIED_FILES_ + "\n".join(modified_file_names)
         final_diff = final_diff + "\n\n" + modified_list_str
@@ -122,7 +127,7 @@ def pr_generate_extended_diff(pr_languages: list,
 
 
 def pr_generate_compressed_diff(top_langs: list, token_handler: TokenHandler, model: str,
-                                convert_hunks_to_line_numbers: bool) -> Tuple[list, list, list]:
+                                convert_hunks_to_line_numbers: bool) -> Tuple[list, list, list, list]:
     """
     Generate a compressed diff string for a pull request, using diff minimization techniques to reduce the number of
     tokens used.
@@ -148,6 +153,7 @@ def pr_generate_compressed_diff(top_langs: list, token_handler: TokenHandler, mo
     """
 
     patches = []
+    added_files_list = []
     modified_files_list = []
     deleted_files_list = []
     # sort each one of the languages in top_langs by the number of tokens in the diff
@@ -165,7 +171,7 @@ def pr_generate_compressed_diff(top_langs: list, token_handler: TokenHandler, mo
 
         # removing delete-only hunks
         patch = handle_patch_deletions(patch, original_file_content_str,
-                                       new_file_content_str, file.filename)
+                                       new_file_content_str, file.filename, file.edit_type)
         if patch is None:
             if not deleted_files_list:
                 total_tokens += token_handler.count_tokens(DELETED_FILES_)
@@ -179,21 +185,26 @@ def pr_generate_compressed_diff(top_langs: list, token_handler: TokenHandler, mo
         new_patch_tokens = token_handler.count_tokens(patch)
 
         # Hard Stop, no more tokens
-        if total_tokens > MAX_TOKENS[model] - OUTPUT_BUFFER_TOKENS_HARD_THRESHOLD:
+        if total_tokens > get_max_tokens(model) - OUTPUT_BUFFER_TOKENS_HARD_THRESHOLD:
-            logging.warning(f"File was fully skipped, no more tokens: {file.filename}.")
+            get_logger().warning(f"File was fully skipped, no more tokens: {file.filename}.")
             continue
 
         # If the patch is too large, just show the file name
-        if total_tokens + new_patch_tokens > MAX_TOKENS[model] - OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD:
+        if total_tokens + new_patch_tokens > get_max_tokens(model) - OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD:
             # Current logic is to skip the patch if it's too large
             # TODO: Option for alternative logic to remove hunks from the patch to reduce the number of tokens
             #  until we meet the requirements
             if get_settings().config.verbosity_level >= 2:
-                logging.warning(f"Patch too large, minimizing it, {file.filename}")
+                get_logger().warning(f"Patch too large, minimizing it, {file.filename}")
-            if not modified_files_list:
+            if file.edit_type == EDIT_TYPE.ADDED:
-                total_tokens += token_handler.count_tokens(MORE_MODIFIED_FILES_)
+                if not added_files_list:
-            modified_files_list.append(file.filename)
+                    total_tokens += token_handler.count_tokens(ADDED_FILES_)
-            total_tokens += token_handler.count_tokens(file.filename) + 1
+                added_files_list.append(file.filename)
+            else:
+                if not modified_files_list:
+                    total_tokens += token_handler.count_tokens(MORE_MODIFIED_FILES_)
+                modified_files_list.append(file.filename)
+                total_tokens += token_handler.count_tokens(file.filename) + 1
             continue
 
         if patch:
@@ -204,9 +215,9 @@ def pr_generate_compressed_diff(top_langs: list, token_handler: TokenHandler, mo
             patches.append(patch_final)
             total_tokens += token_handler.count_tokens(patch_final)
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Tokens: {total_tokens}, last filename: {file.filename}")
+                get_logger().info(f"Tokens: {total_tokens}, last filename: {file.filename}")
 
-    return patches, modified_files_list, deleted_files_list
+    return patches, modified_files_list, deleted_files_list, added_files_list
 
 
 async def retry_with_fallback_models(f: Callable):
@@ -218,7 +229,7 @@ async def retry_with_fallback_models(f: Callable):
             get_settings().set("openai.deployment_id", deployment_id)
             return await f(model)
         except Exception as e:
-            logging.warning(
+            get_logger().warning(
                 f"Failed to generate prediction with {model}"
                 f"{(' from deployment ' + deployment_id) if deployment_id else ''}: "
                 f"{traceback.format_exc()}"
@@ -271,7 +282,7 @@ def find_line_number_of_relevant_line_in_file(diff_files: List[FilePatchInfo],
         r"^@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))? @@[ ]?(.*)")
 
     for file in diff_files:
-        if file.filename.strip() == relevant_file:
+        if file.filename and (file.filename.strip() == relevant_file):
             patch = file.patch
             patch_lines = patch.splitlines()
 
@@ -340,7 +351,7 @@ def clip_tokens(text: str, max_tokens: int) -> str:
         clipped_text = text[:num_output_chars]
         return clipped_text
     except Exception as e:
-        logging.warning(f"Failed to clip tokens: {e}")
+        get_logger().warning(f"Failed to clip tokens: {e}")
         return text
 
 
@@ -367,7 +378,7 @@ def get_pr_multi_diffs(git_provider: GitProvider,
     try:
         diff_files = git_provider.get_diff_files()
     except RateLimitExceededException as e:
-        logging.error(f"Rate limit exceeded for git provider API. original message {e}")
+        get_logger().error(f"Rate limit exceeded for git provider API. original message {e}")
         raise
 
     diff_files = filter_ignored(diff_files)
@@ -387,7 +398,7 @@ def get_pr_multi_diffs(git_provider: GitProvider,
     for file in sorted_files:
         if call_number > max_calls:
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Reached max calls ({max_calls})")
+                get_logger().info(f"Reached max calls ({max_calls})")
             break
 
         original_file_content_str = file.base_file
@@ -397,26 +408,26 @@ def get_pr_multi_diffs(git_provider: GitProvider,
             continue
 
         # Remove delete-only hunks
-        patch = handle_patch_deletions(patch, original_file_content_str, new_file_content_str, file.filename)
+        patch = handle_patch_deletions(patch, original_file_content_str, new_file_content_str, file.filename, file.edit_type)
         if patch is None:
             continue
 
         patch = convert_to_hunks_with_lines_numbers(patch, file)
         new_patch_tokens = token_handler.count_tokens(patch)
-        if patch and (total_tokens + new_patch_tokens > MAX_TOKENS[model] - OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD):
+        if patch and (total_tokens + new_patch_tokens > get_max_tokens(model) - OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD):
             final_diff = "\n".join(patches)
             final_diff_list.append(final_diff)
             patches = []
             total_tokens = token_handler.prompt_tokens
             call_number += 1
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Call number: {call_number}")
+                get_logger().info(f"Call number: {call_number}")
 
         if patch:
             patches.append(patch)
             total_tokens += new_patch_tokens
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Tokens: {total_tokens}, last filename: {file.filename}")
+                get_logger().info(f"Tokens: {total_tokens}, last filename: {file.filename}")
 
     # Add the last chunk
     if patches:

pr_agent/algo/utils.py

@@ -2,7 +2,6 @@ from __future__ import annotations
 
 import difflib
 import json
-import logging
 import re
 import textwrap
 from datetime import datetime
@@ -10,7 +9,10 @@ from typing import Any, List
 
 import yaml
 from starlette_context import context
+
+from pr_agent.algo import MAX_TOKENS
 from pr_agent.config_loader import get_settings, global_settings
+from pr_agent.log import get_logger
 
 
 def get_setting(key: str) -> Any:
@@ -101,7 +103,8 @@ def parse_code_suggestion(code_suggestions: dict, gfm_supported: bool=True) -> s
                 markdown_text += f"   **{sub_key}:** {sub_value}\n"
             if not gfm_supported:
                 if "relevant line" not in sub_key.lower(): # nicer presentation
-                        markdown_text = markdown_text.rstrip('\n') + "\\\n"
+                        # markdown_text = markdown_text.rstrip('\n') + "\\\n" # works for gitlab
+                        markdown_text = markdown_text.rstrip('\n') + "   \n"  # works for gitlab and bitbucker
 
     markdown_text += "\n"
     return markdown_text
@@ -159,7 +162,7 @@ def try_fix_json(review, max_iter=10, code_suggestions=False):
                 iter_count += 1
 
         if not valid_json:
-            logging.error("Unable to decode JSON response from AI")
+            get_logger().error("Unable to decode JSON response from AI")
             data = {}
 
     return data
@@ -230,7 +233,7 @@ def load_large_diff(filename, new_file_content_str: str, original_file_content_s
         diff = difflib.unified_diff(original_file_content_str.splitlines(keepends=True),
                                     new_file_content_str.splitlines(keepends=True))
         if get_settings().config.verbosity_level >= 2:
-            logging.warning(f"File was modified, but no patch was found. Manually creating patch: {filename}.")
+            get_logger().warning(f"File was modified, but no patch was found. Manually creating patch: {filename}.")
         patch = ''.join(diff)
     except Exception:
         pass
@@ -262,12 +265,12 @@ def update_settings_from_args(args: List[str]) -> List[str]:
                 vals = arg.split('=', 1)
                 if len(vals) != 2:
                     if len(vals) > 2: # --extended is a valid argument
-                        logging.error(f'Invalid argument format: {arg}')
+                        get_logger().error(f'Invalid argument format: {arg}')
                     other_args.append(arg)
                     continue
                 key, value = _fix_key_value(*vals)
                 get_settings().set(key, value)
-                logging.info(f'Updated setting {key} to: "{value}"')
+                get_logger().info(f'Updated setting {key} to: "{value}"')
             else:
                 other_args.append(arg)
     return other_args
@@ -279,7 +282,7 @@ def _fix_key_value(key: str, value: str):
     try:
         value = yaml.safe_load(value)
     except Exception as e:
-        logging.error(f"Failed to parse YAML for config override {key}={value}", exc_info=e)
+        get_logger().error(f"Failed to parse YAML for config override {key}={value}", exc_info=e)
     return key, value
 
 
@@ -288,19 +291,85 @@ def load_yaml(review_text: str) -> dict:
     try:
         data = yaml.safe_load(review_text)
     except Exception as e:
-        logging.error(f"Failed to parse AI prediction: {e}")
+        get_logger().error(f"Failed to parse AI prediction: {e}")
         data = try_fix_yaml(review_text)
     return data
 
 def try_fix_yaml(review_text: str) -> dict:
     review_text_lines = review_text.split('\n')
+
+    # first fallback - try to convert 'relevant line: ...' to relevant line: |-\n        ...'
+    review_text_lines_copy = review_text_lines.copy()
+    for i in range(0, len(review_text_lines_copy)):
+        if 'relevant line:' in review_text_lines_copy[i] and not '|-' in review_text_lines_copy[i]:
+            review_text_lines_copy[i] = review_text_lines_copy[i].replace('relevant line: ',
+                                                    'relevant line: |-\n        ')
+    try:
+        data = yaml.load('\n'.join(review_text_lines_copy), Loader=yaml.SafeLoader)
+        get_logger().info(f"Successfully parsed AI prediction after adding |-\n        to relevant line")
+        return data
+    except:
+        get_logger().debug(f"Failed to parse AI prediction after adding |-\n        to relevant line")
+
+    # second fallback - try to remove last lines
     data = {}
     for i in range(1, len(review_text_lines)):
         review_text_lines_tmp = '\n'.join(review_text_lines[:-i])
         try:
             data = yaml.load(review_text_lines_tmp, Loader=yaml.SafeLoader)
-            logging.info(f"Successfully parsed AI prediction after removing {i} lines")
+            get_logger().info(f"Successfully parsed AI prediction after removing {i} lines")
             break
         except:
             pass
     return data
+
+
+def set_custom_labels(variables):
+    if not get_settings().config.enable_custom_labels:
+        return
+
+    labels = get_settings().custom_labels
+    if not labels:
+        # set default labels
+        labels = ['Bug fix', 'Tests', 'Bug fix with tests', 'Refactoring', 'Enhancement', 'Documentation', 'Other']
+        labels_list = "\n      - ".join(labels) if labels else ""
+        labels_list = f"      - {labels_list}" if labels_list else ""
+        variables["custom_labels"] = labels_list
+        return
+    final_labels = ""
+    for k, v in labels.items():
+        final_labels += f"      - {k} ({v['description']})\n"
+    variables["custom_labels"] = final_labels
+    variables["custom_labels_examples"] = f"      - {list(labels.keys())[0]}"
+
+
+def get_user_labels(current_labels: List[str] = None):
+    """
+    Only keep labels that has been added by the user
+    """
+    try:
+        if current_labels is None:
+            current_labels = []
+        user_labels = []
+        for label in current_labels:
+            if label.lower() in ['bug fix', 'tests', 'refactoring', 'enhancement', 'documentation', 'other']:
+                continue
+            if get_settings().config.enable_custom_labels:
+                if label in get_settings().custom_labels:
+                    continue
+            user_labels.append(label)
+        if user_labels:
+            get_logger().info(f"Keeping user labels: {user_labels}")
+    except Exception as e:
+        get_logger().exception(f"Failed to get user labels: {e}")
+        return current_labels
+    return user_labels
+
+
+def get_max_tokens(model):
+    settings = get_settings()
+    max_tokens_model = MAX_TOKENS[model]
+    if settings.config.max_model_tokens:
+        max_tokens_model = min(settings.config.max_model_tokens, max_tokens_model)
+        # get_logger().debug(f"limiting max tokens to {max_tokens_model}")
+    return max_tokens_model

pr_agent/cli.py

@@ -1,10 +1,13 @@
 import argparse
 import asyncio
-import logging
 import os
 
 from pr_agent.agent.pr_agent import PRAgent, commands
 from pr_agent.config_loader import get_settings
+from pr_agent.log import setup_logger
+
+setup_logger()
+
 
 
 def run(inargs=None):
@@ -47,13 +50,12 @@ For example: 'python cli.py --pr_url=... review --pr_reviewer.extra_instructions
         parser.print_help()
         return
 
-    logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO"))
     command = args.command.lower()
     get_settings().set("CONFIG.CLI_MODE", True)
     if args.issue_url:
-        result = asyncio.run(PRAgent().handle_request(args.issue_url, command + " " + " ".join(args.rest)))
+        result = asyncio.run(PRAgent().handle_request(args.issue_url, [command] + args.rest))
     else:
-        result = asyncio.run(PRAgent().handle_request(args.pr_url, command + " " + " ".join(args.rest)))
+        result = asyncio.run(PRAgent().handle_request(args.pr_url, [command] + args.rest))
     if not result:
         parser.print_help()
 

pr_agent/config_loader.py

@@ -23,8 +23,10 @@ global_settings = Dynaconf(
         "settings/pr_sort_code_suggestions_prompts.toml",
         "settings/pr_information_from_user_prompts.toml",
         "settings/pr_update_changelog_prompts.toml",
+        "settings/pr_custom_labels.toml",
         "settings/pr_add_docs.toml",
-        "settings_prod/.secrets.toml"
+        "settings_prod/.secrets.toml",
+        "settings/custom_labels.toml"
     ]]
 )
 

pr_agent/git_providers/azuredevops_provider.py

@@ -1,10 +1,11 @@
 import json
-import logging
 from typing import Optional, Tuple
 from urllib.parse import urlparse
 
 import os
 
+from ..log import get_logger
+
 AZURE_DEVOPS_AVAILABLE = True
 try:
     from msrest.authentication import BasicAuthentication
@@ -55,7 +56,7 @@ class AzureDevopsProvider:
                                                                  path=".pr_agent.toml")
             return contents
         except Exception as e:
-            logging.exception("get repo settings error")
+            get_logger().exception("get repo settings error")
             return ""
 
     def get_files(self):
@@ -110,7 +111,7 @@ class AzureDevopsProvider:
 
                     new_file_content_str = new_file_content_str.content
                 except Exception as error:
-                    logging.error("Failed to retrieve new file content of %s at version %s. Error: %s", file, version, str(error))
+                    get_logger().error("Failed to retrieve new file content of %s at version %s. Error: %s", file, version, str(error))
                     new_file_content_str = ""
 
                 edit_type = EDIT_TYPE.MODIFIED
@@ -131,7 +132,7 @@ class AzureDevopsProvider:
                                                                               include_content=True)
                     original_file_content_str = original_file_content_str.content
                 except Exception as error:
-                    logging.error("Failed to retrieve original file content of %s at version %s. Error: %s", file, version, str(error))
+                    get_logger().error("Failed to retrieve original file content of %s at version %s. Error: %s", file, version, str(error))
                     original_file_content_str = ""
 
                 patch = load_large_diff(file, new_file_content_str, original_file_content_str)
@@ -166,7 +167,7 @@ class AzureDevopsProvider:
                                                          pull_request_id=self.pr_num,
                                                          git_pull_request_to_update=updated_pr)
         except Exception as e:
-            logging.exception(f"Could not update pull request {self.pr_num} description: {e}")
+            get_logger().exception(f"Could not update pull request {self.pr_num} description: {e}")
 
     def remove_initial_comment(self):
         return ""  # not implemented yet
@@ -235,9 +236,6 @@ class AzureDevopsProvider:
     def _parse_pr_url(pr_url: str) -> Tuple[str, int]:
         parsed_url = urlparse(pr_url)
 
-        if 'azure.com' not in parsed_url.netloc:
-            raise ValueError("The provided URL is not a valid Azure DevOps URL")
-
         path_parts = parsed_url.path.strip('/').split('/')
 
         if len(path_parts) < 6 or path_parts[4] != 'pullrequest':

pr_agent/git_providers/bitbucket_provider.py

@@ -1,5 +1,4 @@
 import json
-import logging
 from typing import Optional, Tuple
 from urllib.parse import urlparse
 
@@ -7,9 +6,10 @@ import requests
 from atlassian.bitbucket import Cloud
 from starlette_context import context
 
-from ..algo.pr_processing import clip_tokens, find_line_number_of_relevant_line_in_file
+from ..algo.pr_processing import find_line_number_of_relevant_line_in_file
 from ..config_loader import get_settings
-from .git_provider import FilePatchInfo, GitProvider
+from ..log import get_logger
+from .git_provider import FilePatchInfo, GitProvider, EDIT_TYPE
 
 
 class BitbucketProvider(GitProvider):
@@ -32,8 +32,10 @@ class BitbucketProvider(GitProvider):
         self.repo = None
         self.pr_num = None
         self.pr = None
+        self.pr_url = pr_url
         self.temp_comments = []
         self.incremental = incremental
+        self.diff_files = None
         if pr_url:
             self.set_pr(pr_url)
         self.bitbucket_comment_api_url = self.pr._BitbucketBase__data["links"]["comments"]["href"]
@@ -41,9 +43,12 @@ class BitbucketProvider(GitProvider):
 
     def get_repo_settings(self):
         try:
-            contents = self.repo_obj.get_contents(
+            url = (f"https://api.bitbucket.org/2.0/repositories/{self.workspace_slug}/{self.repo_slug}/src/"
-                ".pr_agent.toml", ref=self.pr.head.sha
+                   f"{self.pr.destination_branch}/.pr_agent.toml")
-            ).decoded_content
+            response = requests.request("GET", url, headers=self.headers)
+            if response.status_code == 404:  # not found
+                return ""
+            contents = response.text.encode('utf-8')
             return contents
         except Exception:
             return ""
@@ -61,14 +66,14 @@ class BitbucketProvider(GitProvider):
 
             if not relevant_lines_start or relevant_lines_start == -1:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.exception(
+                    get_logger().exception(
                         f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}"
                     )
                 continue
 
             if relevant_lines_end < relevant_lines_start:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.exception(
+                    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}"
@@ -97,7 +102,7 @@ class BitbucketProvider(GitProvider):
             return True
         except Exception as e:
             if get_settings().config.verbosity_level >= 2:
-                logging.error(f"Failed to publish code suggestion, error: {e}")
+                get_logger().error(f"Failed to publish code suggestion, error: {e}")
             return False
 
     def is_supported(self, capability: str) -> bool:
@@ -113,6 +118,9 @@ class BitbucketProvider(GitProvider):
         return [diff.new.path for diff in self.pr.diffstat()]
 
     def get_diff_files(self) -> list[FilePatchInfo]:
+        if self.diff_files:
+            return self.diff_files
+
         diffs = self.pr.diffstat()
         diff_split = [
             "diff --git%s" % x for x in self.pr.diff().split("diff --git") if x.strip()
@@ -124,16 +132,56 @@ class BitbucketProvider(GitProvider):
                 diff.old.get_data("links")
             )
             new_file_content_str = self._get_pr_file_content(diff.new.get_data("links"))
-            diff_files.append(
+            file_patch_canonic_structure = FilePatchInfo(
-                FilePatchInfo(
+                original_file_content_str,
-                    original_file_content_str,
+                new_file_content_str,
-                    new_file_content_str,
+                diff_split[index],
-                    diff_split[index],
+                diff.new.path,
-                    diff.new.path,
-                )
             )
+
+            if diff.data['status'] == 'added':
+                file_patch_canonic_structure.edit_type = EDIT_TYPE.ADDED
+            elif diff.data['status'] == 'removed':
+                file_patch_canonic_structure.edit_type = EDIT_TYPE.DELETED
+            elif diff.data['status'] == 'modified':
+                file_patch_canonic_structure.edit_type = EDIT_TYPE.MODIFIED
+            elif diff.data['status'] == 'renamed':
+                file_patch_canonic_structure.edit_type = EDIT_TYPE.RENAMED
+            diff_files.append(file_patch_canonic_structure)
+
+
+        self.diff_files = diff_files
         return diff_files
 
+    def get_latest_commit_url(self):
+        return self.pr.data['source']['commit']['links']['html']['href']
+
+    def get_comment_url(self, comment):
+        return comment.data['links']['html']['href']
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool = True):
+        try:
+            for comment in self.pr.comments():
+                body = comment.raw
+                if initial_header in body:
+                    latest_commit_url = self.get_latest_commit_url()
+                    comment_url = self.get_comment_url(comment)
+                    if update_header:
+                        updated_header = f"{initial_header}\n\n### (review updated until commit {latest_commit_url})\n"
+                        pr_comment_updated = pr_comment.replace(initial_header, updated_header)
+                    else:
+                        pr_comment_updated = pr_comment
+                    get_logger().info(f"Persistent mode- updating comment {comment_url} to latest review message")
+                    d = {"content": {"raw": pr_comment_updated}}
+                    response = comment._update_data(comment.put(None, data=d))
+                    self.publish_comment(
+                        f"**[Persistent review]({comment_url})** updated to latest commit {latest_commit_url}")
+                    return
+        except Exception as e:
+            get_logger().exception(f"Failed to update persistent review, error: {e}")
+            pass
+        self.publish_comment(pr_comment)
+
     def publish_comment(self, pr_comment: str, is_temporary: bool = False):
         comment = self.pr.comment(pr_comment)
         if is_temporary:
@@ -142,17 +190,22 @@ class BitbucketProvider(GitProvider):
     def remove_initial_comment(self):
         try:
             for comment in self.temp_comments:
-                self.pr.delete(f"comments/{comment}")
+                self.remove_comment(comment)
         except Exception as e:
-            logging.exception(f"Failed to remove temp comments, error: {e}")
+            get_logger().exception(f"Failed to remove temp comments, error: {e}")
 
+    def remove_comment(self, comment):
+        try:
+            self.pr.delete(f"comments/{comment}")
+        except Exception as e:
+            get_logger().exception(f"Failed to remove comment, error: {e}")
 
     # funtion to create_inline_comment
     def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
         position, absolute_position = find_line_number_of_relevant_line_in_file(self.get_diff_files(), relevant_file.strip('`'), relevant_line_in_file)
         if position == -1:
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
+                get_logger().info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
             subject_type = "FILE"
         else:
             subject_type = "LINE"
@@ -175,9 +228,29 @@ class BitbucketProvider(GitProvider):
         )
         return response
 
+    def generate_link_to_relevant_line_number(self, suggestion) -> str:
+        try:
+            relevant_file = suggestion['relevant file'].strip('`').strip("'")
+            relevant_line_str = suggestion['relevant line']
+            if not relevant_line_str:
+                return ""
+
+            diff_files = self.get_diff_files()
+            position, absolute_position = find_line_number_of_relevant_line_in_file \
+                (diff_files, relevant_file, relevant_line_str)
+
+            if absolute_position != -1 and self.pr_url:
+                link = f"{self.pr_url}/#L{relevant_file}T{absolute_position}"
+                return link
+        except Exception as e:
+            if get_settings().config.verbosity_level >= 2:
+                get_logger().info(f"Failed adding line link, error: {e}")
+
+        return ""
+
     def publish_inline_comments(self, comments: list[dict]):
         for comment in comments:
-            self.publish_inline_comment(comment['body'], comment['start_line'], comment['path'])
+            self.publish_inline_comment(comment['body'], comment['position'], comment['path'])
 
     def get_title(self):
         return self.pr.title
@@ -254,6 +327,11 @@ class BitbucketProvider(GitProvider):
             })
 
         response = requests.request("PUT", self.bitbucket_pull_request_api_url, headers=self.headers, data=payload)
+        try:
+            if response.status_code != 200:
+                get_logger().info(f"Failed to update description, error code: {response.status_code}")
+        except:
+            pass
         return response
 
     # bitbucket does not support labels

pr_agent/git_providers/codecommit_provider.py

@@ -1,17 +1,16 @@
-import logging
 import os
 import re
 from collections import Counter
 from typing import List, Optional, Tuple
 from urllib.parse import urlparse
 
-from ..algo.language_handler import is_valid_file, language_extension_map
-from ..algo.pr_processing import clip_tokens
-from ..algo.utils import load_large_diff
-from ..config_loader import get_settings
-from .git_provider import EDIT_TYPE, FilePatchInfo, GitProvider, IncrementalPR
 from pr_agent.git_providers.codecommit_client import CodeCommitClient
 
+from ..algo.language_handler import is_valid_file, language_extension_map
+from ..algo.utils import load_large_diff
+from .git_provider import EDIT_TYPE, FilePatchInfo, GitProvider
+from ..log import get_logger
+
 
 class PullRequestCCMimic:
     """
@@ -166,7 +165,7 @@ class CodeCommitProvider(GitProvider):
 
     def publish_comment(self, pr_comment: str, is_temporary: bool = False):
         if is_temporary:
-            logging.info(pr_comment)
+            get_logger().info(pr_comment)
             return
 
         pr_comment = CodeCommitProvider._remove_markdown_html(pr_comment)
@@ -188,12 +187,12 @@ class CodeCommitProvider(GitProvider):
         for suggestion in code_suggestions:
             # Verify that each suggestion has the required keys
             if not all(key in suggestion for key in ["body", "relevant_file", "relevant_lines_start"]):
-                logging.warning(f"Skipping code suggestion #{counter}: Each suggestion must have 'body', 'relevant_file', 'relevant_lines_start' keys")
+                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:
-                logging.debug(f"Code Suggestion #{counter} in file: {suggestion['relevant_file']}: {suggestion['relevant_lines_start']}")
+                get_logger().debug(f"Code Suggestion #{counter} in file: {suggestion['relevant_file']}: {suggestion['relevant_lines_start']}")
                 self.codecommit_client.publish_comment(
                     repo_name=self.repo_name,
                     pr_number=self.pr_num,
@@ -222,6 +221,9 @@ class CodeCommitProvider(GitProvider):
     def remove_initial_comment(self):
         return ""  # not implemented yet
 
+    def remove_comment(self, comment):
+        return ""  # not implemented yet
+
     def publish_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
         # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/codecommit/client/post_comment_for_compared_commit.html
         raise NotImplementedError("CodeCommit provider does not support publishing inline comments yet")
@@ -296,11 +298,11 @@ class CodeCommitProvider(GitProvider):
         return self.codecommit_client.get_file(self.repo_name, settings_filename, self.pr.source_commit, optional=True)
 
     def add_eyes_reaction(self, issue_comment_id: int) -> Optional[int]:
-        logging.info("CodeCommit provider does not support eyes reaction yet")
+        get_logger().info("CodeCommit provider does not support eyes reaction yet")
         return True
 
     def remove_reaction(self, issue_comment_id: int, reaction_id: int) -> bool:
-        logging.info("CodeCommit provider does not support removing reactions yet")
+        get_logger().info("CodeCommit provider does not support removing reactions yet")
         return True
 
     @staticmethod
@@ -366,7 +368,7 @@ class CodeCommitProvider(GitProvider):
         # TODO: implement support for multiple targets in one CodeCommit PR
         #       for now, we are only using the first target in the PR
         if len(response.targets) > 1:
-            logging.warning(
+            get_logger().warning(
                 "Multiple targets in one PR is not supported for CodeCommit yet. Continuing, using the first target only..."
             )
 

pr_agent/git_providers/gerrit_provider.py

@@ -1,5 +1,4 @@
 import json
-import logging
 import os
 import pathlib
 import shutil
@@ -7,18 +6,16 @@ import subprocess
 import uuid
 from collections import Counter, namedtuple
 from pathlib import Path
-from tempfile import mkdtemp, NamedTemporaryFile
+from tempfile import NamedTemporaryFile, mkdtemp
 
 import requests
 import urllib3.util
 from git import Repo
 
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers.git_provider import GitProvider, FilePatchInfo, \
+from pr_agent.git_providers.git_provider import EDIT_TYPE, FilePatchInfo, GitProvider
-    EDIT_TYPE
 from pr_agent.git_providers.local_git_provider import PullRequestMimic
-
+from pr_agent.log import get_logger
-logger = logging.getLogger(__name__)
 
 
 def _call(*command, **kwargs) -> (int, str, str):
@@ -33,42 +30,42 @@ def _call(*command, **kwargs) -> (int, str, str):
 
 
 def clone(url, directory):
-    logger.info("Cloning %s to %s", url, directory)
+    get_logger().info("Cloning %s to %s", url, directory)
     stdout = _call('git', 'clone', "--depth", "1", url, directory)
-    logger.info(stdout)
+    get_logger().info(stdout)
 
 
 def fetch(url, refspec, cwd):
-    logger.info("Fetching %s %s", url, refspec)
+    get_logger().info("Fetching %s %s", url, refspec)
     stdout = _call(
         'git', 'fetch', '--depth', '2', url, refspec,
         cwd=cwd
     )
-    logger.info(stdout)
+    get_logger().info(stdout)
 
 
 def checkout(cwd):
-    logger.info("Checking out")
+    get_logger().info("Checking out")
     stdout = _call('git', 'checkout', "FETCH_HEAD", cwd=cwd)
-    logger.info(stdout)
+    get_logger().info(stdout)
 
 
 def show(*args, cwd=None):
-    logger.info("Show")
+    get_logger().info("Show")
     return _call('git', 'show', *args, cwd=cwd)
 
 
 def diff(*args, cwd=None):
-    logger.info("Diff")
+    get_logger().info("Diff")
     patch = _call('git', 'diff', *args, cwd=cwd)
     if not patch:
-        logger.warning("No changes found")
+        get_logger().warning("No changes found")
         return
     return patch
 
 
 def reset_local_changes(cwd):
-    logger.info("Reset local changes")
+    get_logger().info("Reset local changes")
     _call('git', 'checkout', "--force", cwd=cwd)
 
 
@@ -399,5 +396,8 @@ class GerritProvider(GitProvider):
         # shutil.rmtree(self.repo_path)
         pass
 
+    def remove_comment(self, comment):
+        pass
+
     def get_pr_branch(self):
         return self.repo.head

pr_agent/git_providers/git_provider.py

@@ -1,4 +1,3 @@
-import logging
 from abc import ABC, abstractmethod
 from dataclasses import dataclass
 
@@ -6,12 +5,15 @@ from dataclasses import dataclass
 from enum import Enum
 from typing import Optional
 
+from pr_agent.log import get_logger
+
 
 class EDIT_TYPE(Enum):
     ADDED = 1
     DELETED = 2
     MODIFIED = 3
     RENAMED = 4
+    UNKNOWN = 5
 
 
 @dataclass
@@ -21,7 +23,7 @@ class FilePatchInfo:
     patch: str
     filename: str
     tokens: int = -1
-    edit_type: EDIT_TYPE = EDIT_TYPE.MODIFIED
+    edit_type: EDIT_TYPE = EDIT_TYPE.UNKNOWN
     old_filename: str = None
 
 
@@ -38,38 +40,10 @@ class GitProvider(ABC):
     def publish_description(self, pr_title: str, pr_body: str):
         pass
 
-    @abstractmethod
-    def publish_comment(self, pr_comment: str, is_temporary: bool = False):
-        pass
-
-    @abstractmethod
-    def publish_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
-        pass
-
-    @abstractmethod
-    def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
-        pass
-
-    @abstractmethod
-    def publish_inline_comments(self, comments: list[dict]):
-        pass
-
     @abstractmethod
     def publish_code_suggestions(self, code_suggestions: list) -> bool:
         pass
 
-    @abstractmethod
-    def publish_labels(self, labels):
-        pass
-
-    @abstractmethod
-    def get_labels(self):
-        pass
-
-    @abstractmethod
-    def remove_initial_comment(self):
-        pass
-
     @abstractmethod
     def get_languages(self):
         pass
@@ -89,16 +63,16 @@ class GitProvider(ABC):
     def get_pr_description(self, *, full: bool = True) -> str:
         from pr_agent.config_loader import get_settings
         from pr_agent.algo.pr_processing import clip_tokens
-        max_tokens = get_settings().get("CONFIG.MAX_DESCRIPTION_TOKENS", None)
+        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 max_tokens:
+        if max_tokens_description:
-            return clip_tokens(description, max_tokens)
+            return clip_tokens(description, max_tokens_description)
         return description
 
     def get_user_description(self) -> str:
         description = (self.get_pr_description_full() or "").strip()
         # if the existing description wasn't generated by the pr-agent, just return it as-is
-        if not description.startswith("## PR Type"):
+        if not any(description.startswith(header) for header in ("## PR Type", "## PR Description")):
             return description
         # if the existing description was generated by the pr-agent, but it doesn't contain the user description,
         # return nothing (empty string) because it means there is no user description
@@ -108,11 +82,54 @@ class GitProvider(ABC):
         return description.split("## User Description:", 1)[1].strip()
 
     @abstractmethod
-    def get_issue_comments(self):
+    def get_repo_settings(self):
+        pass
+
+    def get_pr_id(self):
+        return ""
+
+    #### comments operations ####
+    @abstractmethod
+    def publish_comment(self, pr_comment: str, is_temporary: bool = False):
+        pass
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool):
+        self.publish_comment(pr_comment)
+
+    @abstractmethod
+    def publish_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
         pass
 
     @abstractmethod
-    def get_repo_settings(self):
+    def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
+        pass
+
+    @abstractmethod
+    def publish_inline_comments(self, comments: list[dict]):
+        pass
+
+    @abstractmethod
+    def remove_initial_comment(self):
+        pass
+
+    @abstractmethod
+    def remove_comment(self, comment):
+        pass
+
+    @abstractmethod
+    def get_issue_comments(self):
+        pass
+
+    def get_comment_url(self, comment) -> str:
+        return ""
+
+    #### labels operations ####
+    @abstractmethod
+    def publish_labels(self, labels):
+        pass
+
+    @abstractmethod
+    def get_labels(self):
         pass
 
     @abstractmethod
@@ -123,11 +140,12 @@ class GitProvider(ABC):
     def remove_reaction(self, issue_comment_id: int, reaction_id: int) -> bool:
         pass
 
+    #### commits operations ####
     @abstractmethod
     def get_commit_messages(self):
         pass
 
-    def get_pr_id(self):
+    def get_latest_commit_url(self) -> str:
         return ""
 
 def get_main_pr_language(languages, files) -> str:
@@ -136,7 +154,10 @@ def get_main_pr_language(languages, files) -> str:
     """
     main_language_str = ""
     if not languages:
-        logging.info("No languages detected")
+        get_logger().info("No languages detected")
+        return main_language_str
+    if not files:
+        get_logger().info("No files in diff")
         return main_language_str
 
     try:
@@ -145,6 +166,8 @@ def get_main_pr_language(languages, files) -> str:
         # validate that the specific commit uses the main language
         extension_list = []
         for file in files:
+            if not file:
+                continue
             if isinstance(file, str):
                 file = FilePatchInfo(base_file=None, head_file=None, patch=None, filename=file)
             extension_list.append(file.filename.rsplit('.')[-1])
@@ -172,7 +195,7 @@ def get_main_pr_language(languages, files) -> str:
             main_language_str = top_language
 
     except Exception as e:
-        logging.exception(e)
+        get_logger().exception(e)
         pass
 
     return main_language_str
@@ -182,6 +205,13 @@ class IncrementalPR:
     def __init__(self, is_incremental: bool = False):
         self.is_incremental = is_incremental
         self.commits_range = None
-        self.first_new_commit_sha = None
+        self.first_new_commit = None
-        self.last_seen_commit_sha = None
+        self.last_seen_commit = None
 
+    @property
+    def first_new_commit_sha(self):
+        return None if self.first_new_commit is None else self.first_new_commit.sha
+
+    @property
+    def last_seen_commit_sha(self):
+        return None if self.last_seen_commit is None else self.last_seen_commit.sha

pr_agent/git_providers/github_provider.py

@@ -1,20 +1,19 @@
-import logging
 import hashlib
-
 from datetime import datetime
-from typing import Optional, Tuple, Any
+from typing import Optional, Tuple
 from urllib.parse import urlparse
 
-from github import AppAuthentication, Auth, Github, GithubException, Reaction
+from github import AppAuthentication, Auth, Github, GithubException
 from retry import retry
 from starlette_context import context
 
-from .git_provider import FilePatchInfo, GitProvider, IncrementalPR
 from ..algo.language_handler import is_valid_file
+from ..algo.pr_processing import clip_tokens, find_line_number_of_relevant_line_in_file
 from ..algo.utils import load_large_diff
-from ..algo.pr_processing import find_line_number_of_relevant_line_in_file, clip_tokens
 from ..config_loader import get_settings
+from ..log import get_logger
 from ..servers.utils import RateLimitExceeded
+from .git_provider import FilePatchInfo, GitProvider, IncrementalPR, EDIT_TYPE
 
 
 class GithubProvider(GitProvider):
@@ -51,36 +50,42 @@ class GithubProvider(GitProvider):
     def get_incremental_commits(self):
         self.commits = list(self.pr.get_commits())
 
-        self.get_previous_review()
+        self.previous_review = self.get_previous_review(full=True, incremental=True)
         if self.previous_review:
             self.incremental.commits_range = self.get_commit_range()
             # Get all files changed during the commit range
             self.file_set = dict()
             for commit in self.incremental.commits_range:
                 if commit.commit.message.startswith(f"Merge branch '{self._get_repo().default_branch}'"):
-                    logging.info(f"Skipping merge commit {commit.commit.message}")
+                    get_logger().info(f"Skipping merge commit {commit.commit.message}")
                     continue
                 self.file_set.update({file.filename: file for file in commit.files})
 
     def get_commit_range(self):
         last_review_time = self.previous_review.created_at
-        first_new_commit_index = 0
+        first_new_commit_index = None
         for index in range(len(self.commits) - 1, -1, -1):
             if self.commits[index].commit.author.date > last_review_time:
-                self.incremental.first_new_commit_sha = self.commits[index].sha
+                self.incremental.first_new_commit = self.commits[index]
                 first_new_commit_index = index
             else:
-                self.incremental.last_seen_commit_sha = self.commits[index].sha
+                self.incremental.last_seen_commit = self.commits[index]
                 break
-        return self.commits[first_new_commit_index:]
+        return self.commits[first_new_commit_index:] if first_new_commit_index is not None else []
 
-    def get_previous_review(self):
+    def get_previous_review(self, *, full: bool, incremental: bool):
-        self.previous_review = None
+        if not (full or incremental):
-        self.comments = list(self.pr.get_issue_comments())
+            raise ValueError("At least one of full or incremental must be True")
+        if not getattr(self, "comments", None):
+            self.comments = list(self.pr.get_issue_comments())
+        prefixes = []
+        if full:
+            prefixes.append("## PR Analysis")
+        if incremental:
+            prefixes.append("## Incremental PR Review")
         for index in range(len(self.comments) - 1, -1, -1):
-            if self.comments[index].body.startswith("## PR Analysis"):
+            if any(self.comments[index].body.startswith(prefix) for prefix in prefixes):
-                self.previous_review = self.comments[index]
+                return self.comments[index]
-                break
 
     def get_files(self):
         if self.incremental.is_incremental and self.file_set:
@@ -124,22 +129,61 @@ class GithubProvider(GitProvider):
                     if not patch:
                         patch = load_large_diff(file.filename, new_file_content_str, original_file_content_str)
 
-                diff_files.append(FilePatchInfo(original_file_content_str, new_file_content_str, patch, file.filename))
+                if file.status == 'added':
+                    edit_type = EDIT_TYPE.ADDED
+                elif file.status == 'removed':
+                    edit_type = EDIT_TYPE.DELETED
+                elif file.status == 'renamed':
+                    edit_type = EDIT_TYPE.RENAMED
+                elif file.status == 'modified':
+                    edit_type = EDIT_TYPE.MODIFIED
+                else:
+                    get_logger().error(f"Unknown edit type: {file.status}")
+                    edit_type = EDIT_TYPE.UNKNOWN
+                file_patch_canonical_structure = FilePatchInfo(original_file_content_str, new_file_content_str, patch,
+                                                               file.filename, edit_type=edit_type)
+                diff_files.append(file_patch_canonical_structure)
 
             self.diff_files = diff_files
             return diff_files
 
         except GithubException.RateLimitExceededException as e:
-            logging.error(f"Rate limit exceeded for GitHub API. Original message: {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):
         self.pr.edit(title=pr_title, body=pr_body)
 
+    def get_latest_commit_url(self) -> str:
+        return self.last_commit_id.html_url
+
+    def get_comment_url(self, comment) -> str:
+        return comment.html_url
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool = True):
+        prev_comments = list(self.pr.get_issue_comments())
+        for comment in prev_comments:
+            body = comment.body
+            if body.startswith(initial_header):
+                latest_commit_url = self.get_latest_commit_url()
+                comment_url = self.get_comment_url(comment)
+                if update_header:
+                    updated_header = f"{initial_header}\n\n### (review updated until commit {latest_commit_url})\n"
+                    pr_comment_updated = pr_comment.replace(initial_header, updated_header)
+                else:
+                    pr_comment_updated = pr_comment
+                get_logger().info(f"Persistent mode- updating comment {comment_url} to latest review message")
+                response = comment.edit(pr_comment_updated)
+                self.publish_comment(
+                    f"**[Persistent review]({comment_url})** updated to latest commit {latest_commit_url}")
+                return
+        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:
-            logging.debug(f"Skipping publish_comment for temporary comment: {pr_comment}")
+            get_logger().debug(f"Skipping publish_comment for temporary comment: {pr_comment}")
             return
+
         response = self.pr.create_issue_comment(pr_comment)
         if hasattr(response, "user") and hasattr(response.user, "login"):
             self.github_user_id = response.user.login
@@ -156,7 +200,7 @@ class GithubProvider(GitProvider):
         position, absolute_position = find_line_number_of_relevant_line_in_file(self.diff_files, relevant_file.strip('`'), relevant_line_in_file)
         if position == -1:
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
+                get_logger().info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
             subject_type = "FILE"
         else:
             subject_type = "LINE"
@@ -179,13 +223,13 @@ class GithubProvider(GitProvider):
 
             if not relevant_lines_start or relevant_lines_start == -1:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.exception(
+                    get_logger().exception(
                         f"Failed to publish code suggestion, relevant_lines_start is {relevant_lines_start}")
                 continue
 
             if relevant_lines_end < relevant_lines_start:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.exception(f"Failed to publish code suggestion, "
+                    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
@@ -212,16 +256,22 @@ class GithubProvider(GitProvider):
             return True
         except Exception as e:
             if get_settings().config.verbosity_level >= 2:
-                logging.error(f"Failed to publish code suggestion, error: {e}")
+                get_logger().error(f"Failed to publish code suggestion, error: {e}")
             return False
 
     def remove_initial_comment(self):
         try:
             for comment in getattr(self.pr, 'comments_list', []):
                 if comment.is_temporary:
-                    comment.delete()
+                    self.remove_comment(comment)
         except Exception as e:
-            logging.exception(f"Failed to remove initial comment, error: {e}")
+            get_logger().exception(f"Failed to remove initial comment, error: {e}")
+
+    def remove_comment(self, comment):
+        try:
+            comment.delete()
+        except Exception as e:
+            get_logger().exception(f"Failed to remove comment, error: {e}")
 
     def get_title(self):
         return self.pr.title
@@ -259,7 +309,10 @@ class GithubProvider(GitProvider):
 
     def get_repo_settings(self):
         try:
-            contents = self.repo_obj.get_contents(".pr_agent.toml", ref=self.pr.head.sha).decoded_content
+            # contents = self.repo_obj.get_contents(".pr_agent.toml", ref=self.pr.head.sha).decoded_content
+
+            # more logical to take 'pr_agent.toml' from the default branch
+            contents = self.repo_obj.get_contents(".pr_agent.toml").decoded_content
             return contents
         except Exception:
             return ""
@@ -269,7 +322,7 @@ class GithubProvider(GitProvider):
             reaction = self.pr.get_issue_comment(issue_comment_id).create_reaction("eyes")
             return reaction.id
         except Exception as e:
-            logging.exception(f"Failed to add eyes reaction, error: {e}")
+            get_logger().exception(f"Failed to add eyes reaction, error: {e}")
             return None
 
     def remove_reaction(self, issue_comment_id: int, reaction_id: int) -> bool:
@@ -277,7 +330,7 @@ class GithubProvider(GitProvider):
             self.pr.get_issue_comment(issue_comment_id).delete_reaction(reaction_id)
             return True
         except Exception as e:
-            logging.exception(f"Failed to remove eyes reaction, error: {e}")
+            get_logger().exception(f"Failed to remove eyes reaction, error: {e}")
             return False
 
 
@@ -396,13 +449,13 @@ class GithubProvider(GitProvider):
                 "PUT", f"{self.pr.issue_url}/labels", input=post_parameters
             )
         except Exception as e:
-            logging.exception(f"Failed to publish labels, error: {e}")
+            get_logger().exception(f"Failed to publish labels, error: {e}")
 
     def get_labels(self):
         try:
             return [label.name for label in self.pr.labels]
         except Exception as e:
-            logging.exception(f"Failed to get labels, error: {e}")
+            get_logger().exception(f"Failed to get labels, error: {e}")
             return []
 
     def get_commit_messages(self):
@@ -444,7 +497,7 @@ class GithubProvider(GitProvider):
                 return link
         except Exception as e:
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Failed adding line link, error: {e}")
+                get_logger().info(f"Failed adding line link, error: {e}")
 
         return ""
 

pr_agent/git_providers/gitlab_provider.py

@@ -1,5 +1,4 @@
 import hashlib
-import logging
 import re
 from typing import Optional, Tuple
 from urllib.parse import urlparse
@@ -12,8 +11,8 @@ from ..algo.pr_processing import clip_tokens, find_line_number_of_relevant_line_
 from ..algo.utils import load_large_diff
 from ..config_loader import get_settings
 from .git_provider import EDIT_TYPE, FilePatchInfo, GitProvider
+from ..log import get_logger
 
-logger = logging.getLogger()
 
 class DiffNotFoundError(Exception):
     """Raised when the diff for a merge request cannot be found."""
@@ -59,7 +58,7 @@ class GitLabProvider(GitProvider):
         try:
             self.last_diff = self.mr.diffs.list(get_all=True)[-1]
         except IndexError as e:
-            logger.error(f"Could not get diff for merge request {self.id_mr}")
+            get_logger().error(f"Could not get diff for merge request {self.id_mr}")
             raise DiffNotFoundError(f"Could not get diff for merge request {self.id_mr}") from e
 
 
@@ -99,7 +98,7 @@ class GitLabProvider(GitProvider):
                     if isinstance(new_file_content_str, bytes):
                         new_file_content_str = bytes.decode(new_file_content_str, 'utf-8')
                 except UnicodeDecodeError:
-                    logging.warning(
+                    get_logger().warning(
                         f"Cannot decode file {diff['old_path']} or {diff['new_path']} in merge request {self.id_mr}")
 
                 edit_type = EDIT_TYPE.MODIFIED
@@ -135,7 +134,34 @@ class GitLabProvider(GitProvider):
             self.mr.description = pr_body
             self.mr.save()
         except Exception as e:
-            logging.exception(f"Could not update merge request {self.id_mr} description: {e}")
+            get_logger().exception(f"Could not update merge request {self.id_mr} description: {e}")
+
+    def get_latest_commit_url(self):
+        return self.mr.commits().next().web_url
+
+    def get_comment_url(self, comment):
+        return f"{self.mr.web_url}#note_{comment.id}"
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool = True):
+        try:
+            for comment in self.mr.notes.list(get_all=True)[::-1]:
+                if comment.body.startswith(initial_header):
+                    latest_commit_url = self.get_latest_commit_url()
+                    comment_url = self.get_comment_url(comment)
+                    if update_header:
+                        updated_header = f"{initial_header}\n\n### (review updated until commit {latest_commit_url})\n"
+                        pr_comment_updated = pr_comment.replace(initial_header, updated_header)
+                    else:
+                        pr_comment_updated = pr_comment
+                    get_logger().info(f"Persistent mode- updating comment {comment_url} to latest review message")
+                    response = self.mr.notes.update(comment.id, {'body': pr_comment_updated})
+                    self.publish_comment(
+                        f"**[Persistent review]({comment_url})** updated to latest commit {latest_commit_url}")
+                    return
+        except Exception as e:
+            get_logger().exception(f"Failed to update persistent review, error: {e}")
+            pass
+        self.publish_comment(pr_comment)
 
     def publish_comment(self, mr_comment: str, is_temporary: bool = False):
         comment = self.mr.notes.create({'body': mr_comment})
@@ -157,12 +183,12 @@ class GitLabProvider(GitProvider):
     def send_inline_comment(self,body: str,edit_type: str,found: bool,relevant_file: str,relevant_line_in_file: int,
                             source_line_no: int, target_file: str,target_line_no: int) -> None:
         if not found:
-            logging.info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
+            get_logger().info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
         else:
             # in order to have exact sha's we have to find correct diff for this change
             diff = self.get_relevant_diff(relevant_file, relevant_line_in_file)
             if diff is None:
-                logger.error(f"Could not get diff for merge request {self.id_mr}")
+                get_logger().error(f"Could not get diff for merge request {self.id_mr}")
                 raise DiffNotFoundError(f"Could not get diff for merge request {self.id_mr}")
             pos_obj = {'position_type': 'text',
                        'new_path': target_file.filename,
@@ -175,23 +201,23 @@ class GitLabProvider(GitProvider):
             else:
                 pos_obj['new_line'] = target_line_no - 1
                 pos_obj['old_line'] = source_line_no - 1
-            logging.debug(f"Creating comment in {self.id_mr} with body {body} and position {pos_obj}")
+            get_logger().debug(f"Creating comment in {self.id_mr} with body {body} and position {pos_obj}")
             self.mr.discussions.create({'body': body, 'position': pos_obj})
 
     def get_relevant_diff(self, relevant_file: str, relevant_line_in_file: int) -> Optional[dict]:
         changes = self.mr.changes()  # Retrieve the changes for the merge request once
         if not changes:
-            logging.error('No changes found for the merge request.')
+            get_logger().error('No changes found for the merge request.')
             return None
         all_diffs = self.mr.diffs.list(get_all=True)
         if not all_diffs:
-            logging.error('No diffs found for the merge request.')
+            get_logger().error('No diffs found for the merge request.')
             return None
         for diff in all_diffs:
             for change in changes['changes']:
                 if change['new_path'] == relevant_file and relevant_line_in_file in change['diff']:
                     return diff
-            logging.debug(
+            get_logger().debug(
                 f'No relevant diff found for {relevant_file} {relevant_line_in_file}. Falling back to last diff.')
         return self.last_diff  # fallback to last_diff if no relevant diff is found
 
@@ -226,7 +252,7 @@ class GitLabProvider(GitProvider):
                 self.send_inline_comment(body, edit_type, found, relevant_file, relevant_line_in_file, source_line_no,
                                          target_file, target_line_no)
             except Exception as e:
-                logging.exception(f"Could not publish code suggestion:\nsuggestion: {suggestion}\nerror: {e}")
+                get_logger().exception(f"Could not publish code suggestion:\nsuggestion: {suggestion}\nerror: {e}")
 
         # note that we publish suggestions one-by-one. so, if one fails, the rest will still be published
         return True
@@ -288,9 +314,15 @@ class GitLabProvider(GitProvider):
     def remove_initial_comment(self):
         try:
             for comment in self.temp_comments:
-                comment.delete()
+                self.remove_comment(comment)
         except Exception as e:
-            logging.exception(f"Failed to remove temp comments, error: {e}")
+            get_logger().exception(f"Failed to remove temp comments, error: {e}")
+
+    def remove_comment(self, comment):
+        try:
+            comment.delete()
+        except Exception as e:
+            get_logger().exception(f"Failed to remove comment, error: {e}")
 
     def get_title(self):
         return self.mr.title
@@ -310,7 +342,7 @@ class GitLabProvider(GitProvider):
 
     def get_repo_settings(self):
         try:
-            contents = self.gl.projects.get(self.id_project).files.get(file_path='.pr_agent.toml', ref=self.mr.source_branch)
+            contents = self.gl.projects.get(self.id_project).files.get(file_path='.pr_agent.toml', ref=self.mr.target_branch).decode()
             return contents
         except Exception:
             return ""
@@ -358,7 +390,7 @@ class GitLabProvider(GitProvider):
             self.mr.labels = list(set(pr_types))
             self.mr.save()
         except Exception as e:
-            logging.exception(f"Failed to publish labels, error: {e}")
+            get_logger().exception(f"Failed to publish labels, error: {e}")
 
     def publish_inline_comments(self, comments: list[dict]):
         pass
@@ -410,6 +442,6 @@ class GitLabProvider(GitProvider):
                 return link
         except Exception as e:
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Failed adding line link, error: {e}")
+                get_logger().info(f"Failed adding line link, error: {e}")
 
         return ""

pr_agent/git_providers/local_git_provider.py

@@ -1,4 +1,3 @@
-import logging
 from collections import Counter
 from pathlib import Path
 from typing import List
@@ -7,6 +6,7 @@ from git import Repo
 
 from pr_agent.config_loader import _find_repository_root, get_settings
 from pr_agent.git_providers.git_provider import EDIT_TYPE, FilePatchInfo, GitProvider
+from pr_agent.log import get_logger
 
 
 class PullRequestMimic:
@@ -49,7 +49,7 @@ class LocalGitProvider(GitProvider):
         """
         Prepare the repository for PR-mimic generation.
         """
-        logging.debug('Preparing repository for PR-mimic generation...')
+        get_logger().debug('Preparing repository for PR-mimic generation...')
         if self.repo.is_dirty():
             raise ValueError('The repository is not in a clean state. Please commit or stash pending changes.')
         if self.target_branch_name not in self.repo.heads:
@@ -140,6 +140,9 @@ class LocalGitProvider(GitProvider):
     def remove_initial_comment(self):
         pass  # Not applicable to the local git provider, but required by the interface
 
+    def remove_comment(self, comment):
+        pass  # Not applicable to the local git provider, but required by the interface
+
     def get_languages(self):
         """
         Calculate percentage of languages in repository. Used for hunk prioritisation.

pr_agent/git_providers/utils.py

@@ -1,5 +1,4 @@
 import copy
-import logging
 import os
 import tempfile
 
@@ -7,6 +6,7 @@ from dynaconf import Dynaconf
 
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
+from pr_agent.log import get_logger
 
 
 def apply_repo_settings(pr_url):
@@ -26,10 +26,12 @@ def apply_repo_settings(pr_url):
                         section_dict[key] = value
                     get_settings().unset(section)
                     get_settings().set(section, section_dict, merge=False)
-
+                    get_logger().info(f"Applying repo settings for section {section}, contents: {contents}")
+        except Exception as e:
+            get_logger().exception("Failed to apply repo settings", e)
         finally:
             if repo_settings_file:
                 try:
                     os.remove(repo_settings_file)
                 except Exception as e:
-                    logging.error(f"Failed to remove temporary settings file {repo_settings_file}", e)
+                    get_logger().error(f"Failed to remove temporary settings file {repo_settings_file}", e)

pr_agent/log/__init__.py

@@ -0,0 +1,40 @@
+import json
+import logging
+import sys
+from enum import Enum
+
+from loguru import logger
+
+
+class LoggingFormat(str, Enum):
+    CONSOLE = "CONSOLE"
+    JSON = "JSON"
+
+
+def json_format(record: dict) -> str:
+    return record["message"]
+
+
+def setup_logger(level: str = "INFO", fmt: LoggingFormat = LoggingFormat.CONSOLE):
+    level: int = logging.getLevelName(level.upper())
+    if type(level) is not int:
+        level = logging.INFO
+
+    if fmt == LoggingFormat.JSON:
+        logger.remove(None)
+        logger.add(
+            sys.stdout,
+            level=level,
+            format="{message}",
+            colorize=False,
+            serialize=True,
+        )
+    elif fmt == LoggingFormat.CONSOLE:
+        logger.remove(None)
+        logger.add(sys.stdout, level=level, colorize=True)
+
+    return logger
+
+
+def get_logger(*args, **kwargs):
+    return logger

pr_agent/secret_providers/google_cloud_storage_secret_provider.py

@@ -1,9 +1,8 @@
 import ujson
-
 from google.cloud import storage
 
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers.gitlab_provider import logger
+from pr_agent.log import get_logger
 from pr_agent.secret_providers.secret_provider import SecretProvider
 
 
@@ -15,7 +14,7 @@ class GoogleCloudStorageSecretProvider(SecretProvider):
             self.bucket_name = get_settings().google_cloud_storage.bucket_name
             self.bucket = self.client.bucket(self.bucket_name)
         except Exception as e:
-            logger.error(f"Failed to initialize Google Cloud Storage Secret Provider: {e}")
+            get_logger().error(f"Failed to initialize Google Cloud Storage Secret Provider: {e}")
             raise e
 
     def get_secret(self, secret_name: str) -> str:
@@ -23,7 +22,7 @@ class GoogleCloudStorageSecretProvider(SecretProvider):
             blob = self.bucket.blob(secret_name)
             return blob.download_as_string()
         except Exception as e:
-            logger.error(f"Failed to get secret {secret_name} from Google Cloud Storage: {e}")
+            get_logger().error(f"Failed to get secret {secret_name} from Google Cloud Storage: {e}")
             return ""
 
     def store_secret(self, secret_name: str, secret_value: str):
@@ -31,5 +30,5 @@ class GoogleCloudStorageSecretProvider(SecretProvider):
             blob = self.bucket.blob(secret_name)
             blob.upload_from_string(secret_value)
         except Exception as e:
-            logger.error(f"Failed to store secret {secret_name} in Google Cloud Storage: {e}")
+            get_logger().error(f"Failed to store secret {secret_name} in Google Cloud Storage: {e}")
             raise e

pr_agent/servers/bitbucket_app.py

@@ -1,9 +1,7 @@
 import copy
 import hashlib
 import json
-import logging
 import os
-import sys
 import time
 
 import jwt
@@ -18,9 +16,10 @@ from starlette_context.middleware import RawContextMiddleware
 
 from pr_agent.agent.pr_agent import PRAgent
 from pr_agent.config_loader import get_settings, global_settings
+from pr_agent.log import LoggingFormat, get_logger, setup_logger
 from pr_agent.secret_providers import get_secret_provider
 
-logging.basicConfig(stream=sys.stdout, level=logging.INFO)
+setup_logger(fmt=LoggingFormat.JSON)
 router = APIRouter()
 secret_provider = get_secret_provider()
 
@@ -49,7 +48,7 @@ async def get_bearer_token(shared_secret: str, client_key: str):
         bearer_token = response.json()["access_token"]
         return bearer_token
     except Exception as e:
-        logging.error(f"Failed to get bearer token: {e}")
+        get_logger().error(f"Failed to get bearer token: {e}")
         raise e
 
 @router.get("/")
@@ -60,21 +59,23 @@ async def handle_manifest(request: Request, response: Response):
         manifest = manifest.replace("app_key", get_settings().bitbucket.app_key)
         manifest = manifest.replace("base_url", get_settings().bitbucket.base_url)
     except:
-        logging.error("Failed to replace api_key in Bitbucket manifest, trying to continue")
+        get_logger().error("Failed to replace api_key in Bitbucket manifest, trying to continue")
     manifest_obj = json.loads(manifest)
     return JSONResponse(manifest_obj)
 
 @router.post("/webhook")
 async def handle_github_webhooks(background_tasks: BackgroundTasks, request: Request):
-    print(request.headers)
+    log_context = {"server_type": "bitbucket_app"}
+    get_logger().debug(request.headers)
     jwt_header = request.headers.get("authorization", None)
     if jwt_header:
         input_jwt = jwt_header.split(" ")[1]
     data = await request.json()
-    print(data)
+    get_logger().debug(data)
     async def inner():
         try:
             owner = data["data"]["repository"]["owner"]["username"]
+            log_context["sender"] = owner
             secrets = json.loads(secret_provider.get_secret(owner))
             shared_secret = secrets["shared_secret"]
             client_key = secrets["client_key"]
@@ -86,13 +87,19 @@ async def handle_github_webhooks(background_tasks: BackgroundTasks, request: Req
             agent = PRAgent()
             if event == "pullrequest:created":
                 pr_url = data["data"]["pullrequest"]["links"]["html"]["href"]
-                await agent.handle_request(pr_url, "review")
+                log_context["api_url"] = pr_url
+                log_context["event"] = "pull_request"
+                with get_logger().contextualize(**log_context):
+                    await agent.handle_request(pr_url, "review")
             elif event == "pullrequest:comment_created":
                 pr_url = data["data"]["pullrequest"]["links"]["html"]["href"]
+                log_context["api_url"] = pr_url
+                log_context["event"] = "comment"
                 comment_body = data["data"]["comment"]["content"]["raw"]
-                await agent.handle_request(pr_url, comment_body)
+                with get_logger().contextualize(**log_context):
+                    await agent.handle_request(pr_url, comment_body)
         except Exception as e:
-            logging.error(f"Failed to handle webhook: {e}")
+            get_logger().error(f"Failed to handle webhook: {e}")
     background_tasks.add_task(inner)
     return "OK"
 
@@ -103,9 +110,10 @@ async def handle_github_webhooks(request: Request, response: Response):
 @router.post("/installed")
 async def handle_installed_webhooks(request: Request, response: Response):
     try:
-        print(request.headers)
+        get_logger().info("handle_installed_webhooks")
+        get_logger().info(request.headers)
         data = await request.json()
-        print(data)
+        get_logger().info(data)
         shared_secret = data["sharedSecret"]
         client_key = data["clientKey"]
         username = data["principal"]["username"]
@@ -115,13 +123,15 @@ async def handle_installed_webhooks(request: Request, response: Response):
         }
         secret_provider.store_secret(username, json.dumps(secrets))
     except Exception as e:
-        logging.error(f"Failed to register user: {e}")
+        get_logger().error(f"Failed to register user: {e}")
         return JSONResponse({"error": "Unable to register user"}, status_code=500)
 
 @router.post("/uninstalled")
 async def handle_uninstalled_webhooks(request: Request, response: Response):
+    get_logger().info("handle_uninstalled_webhooks")
+
     data = await request.json()
-    print(data)
+    get_logger().info(data)
 
 
 def start():

pr_agent/servers/bitbucket_pipeline_runner.py

@@ -1,34 +0,0 @@
-import os
-from pr_agent.agent.pr_agent import PRAgent
-from pr_agent.config_loader import get_settings
-from pr_agent.tools.pr_reviewer import PRReviewer
-import asyncio
-
-async def run_action():
-    try:
-        pull_request_id = os.environ.get("BITBUCKET_PR_ID", '')
-        slug = os.environ.get("BITBUCKET_REPO_SLUG", '')
-        workspace = os.environ.get("BITBUCKET_WORKSPACE", '')
-        bearer_token = os.environ.get('BITBUCKET_BEARER_TOKEN', None)
-        OPENAI_KEY = os.environ.get('OPENAI_API_KEY') or os.environ.get('OPENAI.KEY')
-        OPENAI_ORG = os.environ.get('OPENAI_ORG') or os.environ.get('OPENAI.ORG')
-        # Check if required environment variables are set
-        if not bearer_token:
-            print("BITBUCKET_BEARER_TOKEN not set")
-            return
-        
-        if not OPENAI_KEY:
-            print("OPENAI_KEY not set")
-            return
-        # Set the environment variables in the settings
-        get_settings().set("BITBUCKET.BEARER_TOKEN", bearer_token)
-        get_settings().set("OPENAI.KEY", OPENAI_KEY)
-        if OPENAI_ORG:
-            get_settings().set("OPENAI.ORG", OPENAI_ORG)
-        if pull_request_id and slug and workspace:
-            pr_url = f"https://bitbucket.org/{workspace}/{slug}/pull-requests/{pull_request_id}"
-            await PRReviewer(pr_url).run()
-    except Exception as e:
-        print(f"An error occurred: {e}")
-if __name__ == "__main__":
-    asyncio.run(run_action())

pr_agent/servers/gerrit_server.py

@@ -1,6 +1,4 @@
 import copy
-import logging
-import sys
 from enum import Enum
 from json import JSONDecodeError
 
@@ -12,9 +10,10 @@ from starlette_context import context
 from starlette_context.middleware import RawContextMiddleware
 
 from pr_agent.agent.pr_agent import PRAgent
-from pr_agent.config_loader import global_settings, get_settings
+from pr_agent.config_loader import get_settings, global_settings
+from pr_agent.log import get_logger, setup_logger
 
-logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
+setup_logger()
 router = APIRouter()
 
 
@@ -35,7 +34,7 @@ class Item(BaseModel):
 
 @router.post("/api/v1/gerrit/{action}")
 async def handle_gerrit_request(action: Action, item: Item):
-    logging.debug("Received a Gerrit request")
+    get_logger().debug("Received a Gerrit request")
     context["settings"] = copy.deepcopy(global_settings)
 
     if action == Action.ask:
@@ -54,7 +53,7 @@ async def get_body(request):
     try:
         body = await request.json()
     except JSONDecodeError as e:
-        logging.error("Error parsing request body", e)
+        get_logger().error("Error parsing request body", e)
         return {}
     return body
 

pr_agent/servers/github_action_runner.py

@@ -5,6 +5,8 @@ import os
 from pr_agent.agent.pr_agent import PRAgent
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
+from pr_agent.git_providers.utils import apply_repo_settings
+from pr_agent.log import get_logger
 from pr_agent.tools.pr_code_suggestions import PRCodeSuggestions
 from pr_agent.tools.pr_description import PRDescription
 from pr_agent.tools.pr_reviewer import PRReviewer
@@ -19,7 +21,6 @@ async def run_action():
     GITHUB_TOKEN = os.environ.get('GITHUB_TOKEN')
     get_settings().set("CONFIG.PUBLISH_OUTPUT_PROGRESS", False)
 
-
     # Check if required environment variables are set
     if not GITHUB_EVENT_NAME:
         print("GITHUB_EVENT_NAME not set")
@@ -49,6 +50,15 @@ async def run_action():
         print(f"Failed to parse JSON: {e}")
         return
 
+    try:
+        get_logger().info("Applying repo settings")
+        pr_url = event_payload.get("pull_request", {}).get("html_url")
+        if pr_url:
+            apply_repo_settings(pr_url)
+            get_logger().info(f"enable_custom_labels: {get_settings().config.enable_custom_labels}")
+    except Exception as e:
+        get_logger().info(f"github action: failed to apply repo settings: {e}")
+
     # Handle pull request event
     if GITHUB_EVENT_NAME == "pull_request":
         action = event_payload.get("action")

pr_agent/servers/github_app.py

@@ -1,9 +1,7 @@
 import copy
-import logging
-import sys
 import os
-import time
+import asyncio.locks
-from typing import Any, Dict
+from typing import Any, Dict, List, Tuple
 
 import uvicorn
 from fastapi import APIRouter, FastAPI, HTTPException, Request, Response
@@ -16,9 +14,12 @@ from pr_agent.algo.utils import update_settings_from_args
 from pr_agent.config_loader import get_settings, global_settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.utils import apply_repo_settings
-from pr_agent.servers.utils import verify_signature
+from pr_agent.git_providers.git_provider import IncrementalPR
+from pr_agent.log import LoggingFormat, get_logger, setup_logger
+from pr_agent.servers.utils import verify_signature, DefaultDictWithTimeout
+
+setup_logger(fmt=LoggingFormat.JSON)
 
-logging.basicConfig(stream=sys.stdout, level=logging.INFO)
 router = APIRouter()
 
 
@@ -29,11 +30,11 @@ async def handle_github_webhooks(request: Request, response: Response):
     Verifies the request signature, parses the request body, and passes it to the handle_request function for further
     processing.
     """
-    logging.debug("Received a GitHub webhook")
+    get_logger().debug("Received a GitHub webhook")
 
     body = await get_body(request)
 
-    logging.debug(f'Request body:\n{body}')
+    get_logger().debug(f'Request body:\n{body}')
     installation_id = body.get("installation", {}).get("id")
     context["installation_id"] = installation_id
     context["settings"] = copy.deepcopy(global_settings)
@@ -45,13 +46,14 @@ async def handle_github_webhooks(request: Request, response: Response):
 @router.post("/api/v1/marketplace_webhooks")
 async def handle_marketplace_webhooks(request: Request, response: Response):
     body = await get_body(request)
-    logging.info(f'Request body:\n{body}')
+    get_logger().info(f'Request body:\n{body}')
+
 
 async def get_body(request):
     try:
         body = await request.json()
     except Exception as e:
-        logging.error("Error parsing request body", e)
+        get_logger().error("Error parsing request body", e)
         raise HTTPException(status_code=400, detail="Error parsing request body") from e
     webhook_secret = getattr(get_settings().github, 'webhook_secret', None)
     if webhook_secret:
@@ -61,7 +63,9 @@ async def get_body(request):
     return body
 
 
-_duplicate_requests_cache = {}
+_duplicate_requests_cache = DefaultDictWithTimeout(ttl=get_settings().github_app.duplicate_requests_cache_ttl)
+_duplicate_push_triggers = DefaultDictWithTimeout(ttl=get_settings().github_app.push_trigger_pending_tasks_ttl)
+_pending_task_duplicate_push_conditions = DefaultDictWithTimeout(asyncio.locks.Condition, ttl=get_settings().github_app.push_trigger_pending_tasks_ttl)
 
 
 async def handle_request(body: Dict[str, Any], event: str):
@@ -77,8 +81,8 @@ async def handle_request(body: Dict[str, Any], event: str):
         return {}
     agent = PRAgent()
     bot_user = get_settings().github_app.bot_user
-    logging.info(f"action: '{action}'")
+    sender = body.get("sender", {}).get("login")
-    logging.info(f"event: '{event}'")
+    log_context = {"action": action, "event": event, "sender": sender, "server_type": "github_app"}
 
     if get_settings().github_app.duplicate_requests_cache and _is_duplicate_request(body):
         return {}
@@ -88,74 +92,143 @@ async def handle_request(body: Dict[str, Any], event: str):
         if "comment" not in body:
             return {}
         comment_body = body.get("comment", {}).get("body")
-        sender = body.get("sender", {}).get("login")
         if sender and bot_user in sender:
-            logging.info(f"Ignoring comment from {bot_user} user")
+            get_logger().info(f"Ignoring comment from {bot_user} user")
             return {}
-        logging.info(f"Processing comment from {sender} user")
+        get_logger().info(f"Processing comment from {sender} user")
         if "issue" in body and "pull_request" in body["issue"] and "url" in body["issue"]["pull_request"]:
             api_url = body["issue"]["pull_request"]["url"]
         elif "comment" in body and "pull_request_url" in body["comment"]:
             api_url = body["comment"]["pull_request_url"]
         else:
             return {}
-        logging.info(body)
+        log_context["api_url"] = api_url
-        logging.info(f"Handling comment because of event={event} and action={action}")
+        get_logger().info(body)
+        get_logger().info(f"Handling comment because of event={event} and action={action}")
         comment_id = body.get("comment", {}).get("id")
         provider = get_git_provider()(pr_url=api_url)
-        await agent.handle_request(api_url, comment_body, notify=lambda: provider.add_eyes_reaction(comment_id))
+        with get_logger().contextualize(**log_context):
+            await agent.handle_request(api_url, comment_body, notify=lambda: provider.add_eyes_reaction(comment_id))
 
     # handle pull_request event:
     #   automatically review opened/reopened/ready_for_review PRs as long as they're not in draft,
     #   as well as direct review requests from the bot
-    elif event == 'pull_request':
+    elif event == 'pull_request' and action != 'synchronize':
-        pull_request = body.get("pull_request")
+        pull_request, api_url = _check_pull_request_event(action, body, log_context, bot_user)
-        if not pull_request:
+        if not (pull_request and api_url):
-            return {}
-        api_url = pull_request.get("url")
-        if not api_url:
-            return {}
-        if pull_request.get("draft", True) or pull_request.get("state") != "open" or pull_request.get("user", {}).get("login", "") == bot_user:
             return {}
         if action in get_settings().github_app.handle_pr_actions:
             if action == "review_requested":
                 if body.get("requested_reviewer", {}).get("login", "") != bot_user:
                     return {}
-                if pull_request.get("created_at") == pull_request.get("updated_at"):
+            get_logger().info(f"Performing review for {api_url=} because of {event=} and {action=}")
-                    # avoid double reviews when opening a PR for the first time
+            await _perform_commands("pr_commands", agent, body, api_url, log_context)
-                    return {}
-            logging.info(f"Performing review because of event={event} and action={action}")
-            apply_repo_settings(api_url)
-            for command in get_settings().github_app.pr_commands:
-                split_command = command.split(" ")
-                command = split_command[0]
-                args = split_command[1:]
-                other_args = update_settings_from_args(args)
-                new_command = ' '.join([command] + other_args)
-                logging.info(body)
-                logging.info(f"Performing command: {new_command}")
-                await agent.handle_request(api_url, new_command)
 
-    logging.info("event or action does not require handling")
+    # handle pull_request event with synchronize action - "push trigger" for new commits
+    elif event == 'pull_request' and action == 'synchronize' and get_settings().github_app.handle_push_trigger:
+        pull_request, api_url = _check_pull_request_event(action, body, log_context, bot_user)
+        if not (pull_request and api_url):
+            return {}
+
+        # TODO: do we still want to get the list of commits to filter bot/merge commits?
+        before_sha = body.get("before")
+        after_sha = body.get("after")
+        merge_commit_sha = pull_request.get("merge_commit_sha")
+        if before_sha == after_sha:
+            return {}
+        if get_settings().github_app.push_trigger_ignore_merge_commits and after_sha == merge_commit_sha:
+            return {}
+        if get_settings().github_app.push_trigger_ignore_bot_commits and body.get("sender", {}).get("login", "") == bot_user:
+            return {}
+
+        # Prevent triggering multiple times for subsequent push triggers when one is enough:
+        # The first push will trigger the processing, and if there's a second push in the meanwhile it will wait.
+        # Any more events will be discarded, because they will all trigger the exact same processing on the PR.
+        # We let the second event wait instead of discarding it because while the first event was being processed,
+        # more commits may have been pushed that led to the subsequent events,
+        # so we keep just one waiting as a delegate to trigger the processing for the new commits when done waiting.
+        current_active_tasks = _duplicate_push_triggers.setdefault(api_url, 0)
+        max_active_tasks = 2 if get_settings().github_app.push_trigger_pending_tasks_backlog else 1
+        if current_active_tasks < max_active_tasks:
+            # first task can enter, and second tasks too if backlog is enabled
+            get_logger().info(
+                f"Continue processing push trigger for {api_url=} because there are {current_active_tasks} active tasks"
+            )
+            _duplicate_push_triggers[api_url] += 1
+        else:
+            get_logger().info(
+                f"Skipping push trigger for {api_url=} because another event already triggered the same processing"
+            )
+            return {}
+        async with _pending_task_duplicate_push_conditions[api_url]:
+            if current_active_tasks == 1:
+                # second task waits
+                get_logger().info(
+                    f"Waiting to process push trigger for {api_url=} because the first task is still in progress"
+                )
+                await _pending_task_duplicate_push_conditions[api_url].wait()
+                get_logger().info(f"Finished waiting to process push trigger for {api_url=} - continue with flow")
+
+        try:
+            if get_settings().github_app.push_trigger_wait_for_initial_review and not get_git_provider()(api_url, incremental=IncrementalPR(True)).previous_review:
+                get_logger().info(f"Skipping incremental review because there was no initial review for {api_url=} yet")
+                return {}
+            get_logger().info(f"Performing incremental review for {api_url=} because of {event=} and {action=}")
+            await _perform_commands("push_commands", agent, body, api_url, log_context)
+
+        finally:
+            # release the waiting task block
+            async with _pending_task_duplicate_push_conditions[api_url]:
+                _pending_task_duplicate_push_conditions[api_url].notify(1)
+                _duplicate_push_triggers[api_url] -= 1
+
+    get_logger().info("event or action does not require handling")
     return {}
 
 
+def _check_pull_request_event(action: str, body: dict, log_context: dict, bot_user: str) -> Tuple[Dict[str, Any], str]:
+    invalid_result = {}, ""
+    pull_request = body.get("pull_request")
+    if not pull_request:
+        return invalid_result
+    api_url = pull_request.get("url")
+    if not api_url:
+        return invalid_result
+    log_context["api_url"] = api_url
+    if pull_request.get("draft", True) or pull_request.get("state") != "open" or pull_request.get("user", {}).get("login", "") == bot_user:
+        return invalid_result
+    if action in ("review_requested", "synchronize") and pull_request.get("created_at") == pull_request.get("updated_at"):
+        # avoid double reviews when opening a PR for the first time
+        return invalid_result
+    return pull_request, api_url
+
+
+async def _perform_commands(commands_conf: str, agent: PRAgent, body: dict, api_url: str, log_context: dict):
+    apply_repo_settings(api_url)
+    commands = get_settings().get(f"github_app.{commands_conf}")
+    for command in commands:
+        split_command = command.split(" ")
+        command = split_command[0]
+        args = split_command[1:]
+        other_args = update_settings_from_args(args)
+        new_command = ' '.join([command] + other_args)
+        get_logger().info(body)
+        get_logger().info(f"Performing command: {new_command}")
+        with get_logger().contextualize(**log_context):
+            await agent.handle_request(api_url, new_command)
+
+
 def _is_duplicate_request(body: Dict[str, Any]) -> bool:
     """
     In some deployments its possible to get duplicate requests if the handling is long,
     This function checks if the request is duplicate and if so - ignores it.
     """
     request_hash = hash(str(body))
-    logging.info(f"request_hash: {request_hash}")
+    get_logger().info(f"request_hash: {request_hash}")
-    request_time = time.monotonic()
+    is_duplicate = _duplicate_requests_cache.get(request_hash, False)
-    ttl = get_settings().github_app.duplicate_requests_cache_ttl  # in seconds
+    _duplicate_requests_cache[request_hash] = True
-    to_delete = [key for key, key_time in _duplicate_requests_cache.items() if request_time - key_time > ttl]
-    for key in to_delete:
-        del _duplicate_requests_cache[key]
-    is_duplicate = request_hash in _duplicate_requests_cache
-    _duplicate_requests_cache[request_hash] = request_time
     if is_duplicate:
-        logging.info(f"Ignoring duplicate request {request_hash}")
+        get_logger().info(f"Ignoring duplicate request {request_hash}")
     return is_duplicate
 
 

pr_agent/servers/github_polling.py

@@ -1,6 +1,4 @@
 import asyncio
-import logging
-import sys
 from datetime import datetime, timezone
 
 import aiohttp
@@ -8,9 +6,10 @@ import aiohttp
 from pr_agent.agent.pr_agent import PRAgent
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
+from pr_agent.log import LoggingFormat, get_logger, setup_logger
 from pr_agent.servers.help import bot_help_text
 
-logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
+setup_logger(fmt=LoggingFormat.JSON)
 NOTIFICATION_URL = "https://api.github.com/notifications"
 
 
@@ -94,7 +93,7 @@ async def polling_loop():
                                             comment_body = comment['body'] if 'body' in comment else ''
                                             commenter_github_user = comment['user']['login'] \
                                                 if 'user' in comment else ''
-                                            logging.info(f"Commenter: {commenter_github_user}\nComment: {comment_body}")
+                                            get_logger().info(f"Commenter: {commenter_github_user}\nComment: {comment_body}")
                                             user_tag = "@" + user_id
                                             if user_tag not in comment_body:
                                                 continue
@@ -112,7 +111,7 @@ async def polling_loop():
                         print(f"Failed to fetch notifications. Status code: {response.status}")
 
             except Exception as e:
-                logging.error(f"Exception during processing of a notification: {e}")
+                get_logger().error(f"Exception during processing of a notification: {e}")
 
 
 if __name__ == '__main__':

pr_agent/servers/gitlab_webhook.py

@@ -1,7 +1,5 @@
 import copy
 import json
-import logging
-import sys
 
 import uvicorn
 from fastapi import APIRouter, FastAPI, Request, status
@@ -14,26 +12,37 @@ from starlette_context.middleware import RawContextMiddleware
 
 from pr_agent.agent.pr_agent import PRAgent
 from pr_agent.config_loader import get_settings, global_settings
+from pr_agent.log import LoggingFormat, get_logger, setup_logger
 from pr_agent.secret_providers import get_secret_provider
 
-logging.basicConfig(stream=sys.stdout, level=logging.INFO)
+setup_logger(fmt=LoggingFormat.JSON)
 router = APIRouter()
 
 secret_provider = get_secret_provider() if get_settings().get("CONFIG.SECRET_PROVIDER") else None
 
 
+def handle_request(background_tasks: BackgroundTasks, url: str, body: str, log_context: dict):
+    log_context["action"] = body
+    log_context["event"] = "pull_request" if body == "/review" else "comment"
+    log_context["api_url"] = url
+    with get_logger().contextualize(**log_context):
+        background_tasks.add_task(PRAgent().handle_request, url, body)
+
+
 @router.post("/webhook")
 async def gitlab_webhook(background_tasks: BackgroundTasks, request: Request):
+    log_context = {"server_type": "gitlab_app"}
     if request.headers.get("X-Gitlab-Token") and secret_provider:
         request_token = request.headers.get("X-Gitlab-Token")
         secret = secret_provider.get_secret(request_token)
         try:
             secret_dict = json.loads(secret)
             gitlab_token = secret_dict["gitlab_token"]
+            log_context["sender"] = secret_dict["id"]
             context["settings"] = copy.deepcopy(global_settings)
             context["settings"].gitlab.personal_access_token = gitlab_token
         except Exception as e:
-            logging.error(f"Failed to validate secret {request_token}: {e}")
+            get_logger().error(f"Failed to validate secret {request_token}: {e}")
             return JSONResponse(status_code=status.HTTP_401_UNAUTHORIZED, content=jsonable_encoder({"message": "unauthorized"}))
     elif get_settings().get("GITLAB.SHARED_SECRET"):
         secret = get_settings().get("GITLAB.SHARED_SECRET")
@@ -45,17 +54,17 @@ async def gitlab_webhook(background_tasks: BackgroundTasks, request: Request):
     if not gitlab_token:
         return JSONResponse(status_code=status.HTTP_401_UNAUTHORIZED, content=jsonable_encoder({"message": "unauthorized"}))
     data = await request.json()
-    logging.info(json.dumps(data))
+    get_logger().info(json.dumps(data))
     if data.get('object_kind') == 'merge_request' and data['object_attributes'].get('action') in ['open', 'reopen']:
-        logging.info(f"A merge request has been opened: {data['object_attributes'].get('title')}")
+        get_logger().info(f"A merge request has been opened: {data['object_attributes'].get('title')}")
         url = data['object_attributes'].get('url')
-        background_tasks.add_task(PRAgent().handle_request, url, "/review")
+        handle_request(background_tasks, url, "/review", log_context)
     elif data.get('object_kind') == 'note' and data['event_type'] == 'note':
         if 'merge_request' in data:
             mr = data['merge_request']
             url = mr.get('url')
             body = data.get('object_attributes', {}).get('note')
-            background_tasks.add_task(PRAgent().handle_request, url, body)
+            handle_request(background_tasks, url, body, log_context)
     return JSONResponse(status_code=status.HTTP_200_OK, content=jsonable_encoder({"message": "success"}))
 
 

pr_agent/servers/serverless.py

@@ -1,14 +1,15 @@
-import logging
-
 from fastapi import FastAPI
 from mangum import Mangum
+from starlette.middleware import Middleware
+from starlette_context.middleware import RawContextMiddleware
 
+from pr_agent.log import setup_logger
 from pr_agent.servers.github_app import router
 
-logger = logging.getLogger()
+setup_logger()
-logger.setLevel(logging.DEBUG)
 
-app = FastAPI()
+middleware = [Middleware(RawContextMiddleware)]
+app = FastAPI(middleware=middleware)
 app.include_router(router)
 
 handler = Mangum(app, lifespan="off")

pr_agent/servers/utils.py

@@ -1,5 +1,8 @@
 import hashlib
 import hmac
+import time
+from collections import defaultdict
+from typing import Callable, Any
 
 from fastapi import HTTPException
 
@@ -25,3 +28,59 @@ def verify_signature(payload_body, secret_token, signature_header):
 class RateLimitExceeded(Exception):
     """Raised when the git provider API rate limit has been exceeded."""
     pass
+
+
+class DefaultDictWithTimeout(defaultdict):
+    """A defaultdict with a time-to-live (TTL)."""
+
+    def __init__(
+        self,
+        default_factory: Callable[[], Any] = None,
+        ttl: int = None,
+        refresh_interval: int = 60,
+        update_key_time_on_get: bool = True,
+        *args,
+        **kwargs,
+    ):
+        """
+        Args:
+            default_factory: The default factory to use for keys that are not in the dictionary.
+            ttl: The time-to-live (TTL) in seconds.
+            refresh_interval: How often to refresh the dict and delete items older than the TTL.
+            update_key_time_on_get: Whether to update the access time of a key also on get (or only when set).
+        """
+        super().__init__(default_factory, *args, **kwargs)
+        self.__key_times = dict()
+        self.__ttl = ttl
+        self.__refresh_interval = refresh_interval
+        self.__update_key_time_on_get = update_key_time_on_get
+        self.__last_refresh = self.__time() - self.__refresh_interval
+
+    @staticmethod
+    def __time():
+        return time.monotonic()
+
+    def __refresh(self):
+        if self.__ttl is None:
+            return
+        request_time = self.__time()
+        if request_time - self.__last_refresh > self.__refresh_interval:
+            return
+        to_delete = [key for key, key_time in self.__key_times.items() if request_time - key_time > self.__ttl]
+        for key in to_delete:
+            del self[key]
+        self.__last_refresh = request_time
+
+    def __getitem__(self, __key):
+        if self.__update_key_time_on_get:
+            self.__key_times[__key] = self.__time()
+        self.__refresh()
+        return super().__getitem__(__key)
+
+    def __setitem__(self, __key, __value):
+        self.__key_times[__key] = self.__time()
+        return super().__setitem__(__key, __value)
+
+    def __delitem__(self, __key):
+        del self.__key_times[__key]
+        return super().__delitem__(__key)

pr_agent/settings/.secrets_template.toml

@@ -34,7 +34,11 @@ key = "" # Optional, uncomment if you want to use Huggingface Inference API. Acq
 api_base = "" # the base url for your huggingface inference endpoint 
 
 [ollama]
-api_base = "" # the base url for your huggingface inference endpoint 
+api_base = "" # the base url for your local Llama 2, Code Llama, and other models inference endpoint. Acquire through https://ollama.ai/
+
+[vertexai]
+vertex_project = "" # the google cloud platform project name for your vertexai deployment
+vertex_location = "" # the google cloud platform location for your vertexai deployment
 
 [github]
 # ---- Set the following only for deployment type == "user"

pr_agent/settings/configuration.toml

@@ -1,5 +1,5 @@
 [config]
-model="gpt-4"
+model="gpt-4" # "gpt-4-1106-preview"
 fallback_models=["gpt-3.5-turbo-16k"]
 git_provider="github"
 publish_output=true
@@ -10,32 +10,49 @@ use_repo_settings_file=true
 ai_timeout=180
 max_description_tokens = 500
 max_commits_tokens = 500
+max_model_tokens = 32000 # Limits the maximum number of tokens that can be used by any model, regardless of the model's default capabilities.
 patch_extra_lines = 3
 secret_provider="google_cloud_storage"
 cli_mode=false
 
 [pr_reviewer] # /review #
+# enable/disable features
 require_focused_review=false
 require_score_review=false
 require_tests_review=true
 require_security_review=true
 require_estimate_effort_to_review=true
+# general options
 num_code_suggestions=4
 inline_code_comments = false
 ask_and_reflect=false
 automatic_review=true
+remove_previous_review_comment=false
+persistent_comment=true
 extra_instructions = ""
+# review labels
+enable_review_labels_security=true
+enable_review_labels_effort=false
+# specific configurations for incremental review (/review -i)
+require_all_thresholds_for_incremental_review=false
+minimal_commits_for_incremental_review=0
+minimal_minutes_for_incremental_review=0
 
 [pr_description] # /describe #
 publish_labels=true
 publish_description_as_comment=false
 add_original_user_description=false
 keep_original_user_title=false
+use_bullet_points=true
 extra_instructions = ""
+enable_pr_type=true
+
 # markers
 use_description_markers=false
 include_generated_by_header=true
 
+#custom_labels = ['Bug fix', 'Tests', 'Bug fix with tests', 'Refactoring', 'Enhancement', 'Documentation', 'Other']
+
 [pr_questions] # /ask #
 
 [pr_code_suggestions] # /improve #
@@ -82,6 +99,30 @@ pr_commands = [
     "/describe --pr_description.add_original_user_description=true --pr_description.keep_original_user_title=true",
     "/auto_review",
 ]
+# settings for "pull_request" event with "synchronize" action - used to detect and handle push triggers for new commits
+handle_push_trigger = false
+push_trigger_ignore_bot_commits = true
+push_trigger_ignore_merge_commits = true
+push_trigger_wait_for_initial_review = true
+push_trigger_pending_tasks_backlog = true
+push_trigger_pending_tasks_ttl = 300
+push_commands = [
+    "/describe --pr_description.add_original_user_description=true --pr_description.keep_original_user_title=true",
+    """/auto_review -i \
+       --pr_reviewer.require_focused_review=false \
+       --pr_reviewer.require_score_review=false \
+       --pr_reviewer.require_tests_review=false \
+       --pr_reviewer.require_security_review=false \
+       --pr_reviewer.require_estimate_effort_to_review=false \
+       --pr_reviewer.num_code_suggestions=0 \
+       --pr_reviewer.inline_code_comments=false \
+       --pr_reviewer.remove_previous_review_comment=true \
+       --pr_reviewer.require_all_thresholds_for_incremental_review=false \
+       --pr_reviewer.minimal_commits_for_incremental_review=5 \
+       --pr_reviewer.minimal_minutes_for_incremental_review=30 \
+       --pr_reviewer.extra_instructions='' \
+    """
+]
 
 [gitlab]
 # URL to the gitlab service
@@ -122,4 +163,4 @@ max_issues_to_scan = 500
 [pinecone]
 # fill and place in .secrets.toml
 #api_key = ...
-# environment = "gcp-starter"
+# environment = "gcp-starter"

pr_agent/settings/custom_labels.toml

@@ -0,0 +1,18 @@
+[config]
+enable_custom_labels=false
+
+## template for custom labels
+#[custom_labels."Bug fix"]
+#description = "Fixes a bug in the code"
+#[custom_labels."Tests"]
+#description = "Adds or modifies tests"
+#[custom_labels."Bug fix with tests"]
+#description = "Fixes a bug in the code and adds or modifies tests"
+#[custom_labels."Refactoring"]
+#description = "Code refactoring without changing functionality"
+#[custom_labels."Enhancement"]
+#description = "Adds new features or functionality"
+#[custom_labels."Documentation"]
+#description = "Adds or modifies documentation"
+#[custom_labels."Other"]
+#description = "Other changes that do not fit in any of the above categories"

pr_agent/settings/language_extensions.toml

@@ -433,3 +433,6 @@ reStructuredText = [".rst", ".rest", ".rest.txt", ".rst.txt", ]
 wisp = [".wisp", ]
 xBase = [".prg", ".prw", ]
 
+[docs_blacklist_extensions]
+# Disable docs for these extensions of text files and scripts that are not programming languages of function, classes and methods
+docs_blacklist = ['sql', 'txt', 'yaml', 'json', 'xml', 'md', 'rst', 'rest', 'rest.txt', 'rst.txt', 'mdpolicy', 'mdown', 'markdown', 'mdwn', 'mkd', 'mkdn', 'mkdown', 'sh']

pr_agent/settings/pr_custom_labels.toml

@@ -0,0 +1,71 @@
+[pr_custom_labels_prompt]
+system="""You are CodiumAI-PR-Reviewer, a language model designed to review git pull requests.
+Your task is to label the type of the PR content.
+- Make sure not to focus the new PR code (the '+' lines).
+- If needed, each YAML output should be in block scalar format ('|-')
+{%- if extra_instructions %}
+
+Extra instructions from the user:
+'
+{{ extra_instructions }}
+'
+{% endif %}
+
+You must use the following YAML schema to format your answer:
+```yaml
+PR Type:
+  type: array
+{%- if enable_custom_labels %}
+  description: Labels that are applicable to the Pull Request. Don't output the description in the parentheses. If none of the labels is relevant to the PR, output an empty array.
+{%- endif %}
+  items:
+    type: string
+    enum:
+{%- if enable_custom_labels %}
+{{ custom_labels }}
+{%- else %}
+      - Bug fix
+      - Tests
+      - Refactoring
+      - Enhancement
+      - Documentation
+      - Other
+{%- endif %}
+
+Example output:
+```yaml
+PR Type:
+{%- if enable_custom_labels %}
+{{ custom_labels_examples }}
+{%- else %}
+  - Bug fix
+{%- endif %}
+```
+
+Make sure to output a valid YAML. Don't repeat the prompt in the answer, and avoid outputting the 'type' and 'description' fields.
+"""
+
+user="""PR Info:
+Previous title: '{{title}}'
+Previous description: '{{description}}'
+Branch: '{{branch}}'
+{%- if language %}
+
+Main language: {{language}}
+{%- endif %}
+{%- if commit_messages_str %}
+
+Commit messages:
+{{commit_messages_str}}
+{%- endif %}
+
+
+The PR Git Diff:
+```
+{{diff}}
+```
+Note that lines in the diff body are prefixed with a symbol that represents the type of change: '-' for deletions, '+' for additions, and ' ' (a space) for unchanged lines.
+
+Response (should be a valid YAML, and nothing else):
+```yaml
+"""

pr_agent/settings/pr_description_prompts.toml

@@ -1,9 +1,10 @@
 [pr_description_prompt]
 system="""You are CodiumAI-PR-Reviewer, a language model designed to review git pull requests.
-Your task is to provide full description of the PR content.
+Your task is to provide full description of a Pull Request (PR) content.
-- Make sure not to focus the new PR code (the '+' lines).
+- Make sure to focus on the new PR code (the '+' lines).
 - Notice that the 'Previous title', 'Previous description' and 'Commit messages' sections may be partial, simplistic, non-informative or not up-to-date. Hence, compare them to the PR diff code, and use them only as a reference.
--  If needed, each YAML output should be in block scalar format ('|-')
+- Emphasize first the most important changes, and then the less important ones.
+- If needed, each YAML output should be in block scalar format ('|-')
 {%- if extra_instructions %}
 
 Extra instructions from the user:
@@ -18,20 +19,27 @@ PR Title:
   type: string
   description: an informative title for the PR, describing its main theme
 PR Type:
+  type: string
+  enum:
+    - Bug fix
+    - Tests
+    - Refactoring
+    - Enhancement
+    - Documentation
+    - Other
+{%- if enable_custom_labels %}
+PR Labels:
   type: array
+  description: Labels that are applicable to the Pull Request. Don't output the description in the parentheses. If none of the labels is relevant to the PR, output an empty array.
   items:
     type: string
     enum:
-      - Bug fix
+{{ custom_labels }}
-      - Tests
+{%- endif %}
-      - Bug fix with tests
-      - Refactoring
-      - Enhancement
-      - Documentation
-      - Other
 PR Description:
   type: string
-  description: an informative and concise description of the PR
+  description: an informative and concise description of the PR.
+  {%- if use_bullet_points %} Use bullet points. {% endif %}
 PR Main Files Walkthrough:
   type: array
   maxItems: 10
@@ -44,6 +52,7 @@ PR Main Files Walkthrough:
     changes in file:
       type: string
       description: minimal and concise description of the changes in the relevant file
+```
 
 
 Example output:
@@ -51,7 +60,12 @@ Example output:
 PR Title: |-
   ...
 PR Type:
-  - Bug fix
+  ...
+{%- if enable_custom_labels %}
+PR Labels:
+- ...
+- ...
+{%- endif %}
 PR Description: |-
   ...
 PR Main Files Walkthrough:

pr_agent/settings/pr_reviewer_prompts.toml

@@ -25,7 +25,7 @@ code line that already existed in the file....
 The review should focus on new code added in the PR (lines starting with '+'), and not on code that already existed in the file (lines starting with '-', or without prefix).
 
 {%- if num_code_suggestions > 0 %}
-- Provide up to {{ num_code_suggestions }} code suggestions.
+- Provide up to {{ num_code_suggestions }} code suggestions. Try to provide diverse and insightful suggestions.
 - Focus on important suggestions like fixing code problems, issues and bugs. As a second priority, provide suggestions for meaningful code improvements, like performance, vulnerability, modularity, and best practices.
 - Avoid making suggestions that have already been implemented in the PR code. For example, if you want to add logs, or change a variable to const, or anything else, make sure it isn't already in the PR code.
 - Don't suggest to add docstring, type hints, or comments.
@@ -93,16 +93,16 @@ PR Analysis:
     description: >-
       Estimate, on a scale of 1-5 (inclusive), the time and effort required to review this PR by an experienced and knowledgeable developer. 1 means short and easy review , 5 means long and hard review.
       Take into account the size, complexity, quality, and the needed changes of the PR code diff.
-      Explain your answer shortly (1-2 sentences).
+      Explain your answer shortly (1-2 sentences). Use the format: '1, because ...'
 {%- endif %}
 PR Feedback:
   General suggestions:
     type: string
     description: |-
-      General suggestions and feedback for the contributors and maintainers of
+      General suggestions and feedback for the contributors and maintainers of this PR.
-      this PR. May include important suggestions for the overall structure,
+      May include important suggestions for the overall structure,
-      primary purpose, best practices, critical bugs, and other aspects of the
+      primary purpose, best practices, critical bugs, and other aspects of the PR.
-      PR. Don't address PR title and description, or lack of tests. Explain your suggestions.
+      Don't address PR title and description, or lack of tests. Explain your suggestions.
 {%- if num_code_suggestions > 0 %}
   Code feedback:
     type: array
@@ -115,11 +115,10 @@ PR Feedback:
       suggestion:
         type: string
         description: |-
-          a concrete suggestion for meaningfully improving the new PR code. Also
+          a concrete suggestion for meaningfully improving the new PR code.
-          describe how, specifically, the suggestion can be applied to new PR
+          Also describe how, specifically, the suggestion can be applied to new PR code.
-          code. Add tags with importance measure that matches each suggestion
+          Add tags with importance measure that matches each suggestion ('important' or 'medium').
-          ('important' or 'medium'). Do not make suggestions for updating or
+          Do not make suggestions for updating or adding docstrings, renaming PR title and description, or linter like.
-          adding docstrings, renaming PR title and description, or linter like.
       relevant line:
         type: string
         description: |-
@@ -131,7 +130,8 @@ PR Feedback:
   Security concerns:
     type: string
     description: >-
-      yes\\no question: does this PR code introduce possible vulnerabilities such as exposure of sensitive information (e.g., API keys, secrets, passwords), or security concerns like SQL injection, XSS, CSRF, and others ? If answered 'yes', explain your answer briefly.
+      does this PR code introduce possible vulnerabilities such as exposure of sensitive information (e.g., API keys, secrets, passwords), or security concerns like SQL injection, XSS, CSRF, and others ? Answer 'No' if there are no possible issues.
+      Answer 'Yes, because ...' if there are security concerns or issues. Explain your answer shortly.
 {%- endif %}
 ```
 
@@ -143,7 +143,7 @@ PR Analysis:
   PR summary: |-
     xxx
   Type of PR: |-
-    Bug fix
+    ...
 {%- if require_score %}
   Score: 89
 {%- endif %}
@@ -153,7 +153,8 @@ PR Analysis:
   Focused PR: no, because ...
 {%- endif %}
 {%- if require_estimate_effort_to_review %}
-  Estimated effort to review [1-5]: 3, because ...
+  Estimated effort to review [1-5]: |-
+    3, because ...
 {%- endif %}
 PR Feedback:
   General PR suggestions: |-

pr_agent/tools/pr_add_docs.py

@@ -1,16 +1,17 @@
 import copy
-import logging
 import textwrap
-from typing import List, Dict
+from typing import Dict
+
 from jinja2 import Environment, StrictUndefined
 
 from pr_agent.algo.ai_handler import AiHandler
-from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models, get_pr_multi_diffs
+from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
 from pr_agent.algo.token_handler import TokenHandler
 from pr_agent.algo.utils import load_yaml
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers import BitbucketProvider, get_git_provider
+from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import get_main_pr_language
+from pr_agent.log import get_logger
 
 
 class PRAddDocs:
@@ -43,34 +44,39 @@ class PRAddDocs:
 
     async def run(self):
         try:
-            logging.info('Generating code Docs for PR...')
+            get_logger().info('Generating code Docs for PR...')
             if get_settings().config.publish_output:
                 self.git_provider.publish_comment("Generating Documentation...", is_temporary=True)
 
-            logging.info('Preparing PR documentation...')
+            get_logger().info('Preparing PR documentation...')
             await retry_with_fallback_models(self._prepare_prediction)
             data = self._prepare_pr_code_docs()
             if (not data) or (not 'Code Documentation' in data):
-                logging.info('No code documentation found for PR.')
+                get_logger().info('No code documentation found for PR.')
                 return
 
             if get_settings().config.publish_output:
-                logging.info('Pushing PR documentation...')
+                get_logger().info('Pushing PR documentation...')
                 self.git_provider.remove_initial_comment()
-                logging.info('Pushing inline code documentation...')
+                get_logger().info('Pushing inline code documentation...')
                 self.push_inline_docs(data)
         except Exception as e:
-            logging.error(f"Failed to generate code documentation for PR, error: {e}")
+            get_logger().error(f"Failed to generate code documentation for PR, error: {e}")
 
     async def _prepare_prediction(self, model: str):
-        logging.info('Getting PR diff...')
+        get_logger().info('Getting PR diff...')
+
+        # Disable adding docs to scripts and other non-relevant text files
+        from pr_agent.algo.language_handler import bad_extensions
+        bad_extensions += get_settings().docs_blacklist_extensions.docs_blacklist
+
         self.patches_diff = get_pr_diff(self.git_provider,
                                         self.token_handler,
                                         model,
                                         add_line_numbers_to_hunks=True,
                                         disable_extra_lines=False)
 
-        logging.info('Getting AI prediction...')
+        get_logger().info('Getting AI prediction...')
         self.prediction = await self._get_prediction(model)
 
     async def _get_prediction(self, model: str):
@@ -80,8 +86,8 @@ class PRAddDocs:
         system_prompt = environment.from_string(get_settings().pr_add_docs_prompt.system).render(variables)
         user_prompt = environment.from_string(get_settings().pr_add_docs_prompt.user).render(variables)
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-            logging.info(f"\nUser prompt:\n{user_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
         response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
                                                                         system=system_prompt, user=user_prompt)
 
@@ -103,7 +109,7 @@ class PRAddDocs:
         for d in data['Code Documentation']:
             try:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.info(f"add_docs: {d}")
+                    get_logger().info(f"add_docs: {d}")
                 relevant_file = d['relevant file'].strip()
                 relevant_line = int(d['relevant line'])  # absolute position
                 documentation = d['documentation']
@@ -118,11 +124,11 @@ class PRAddDocs:
                                              'relevant_lines_end': relevant_line})
             except Exception:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.info(f"Could not parse code docs: {d}")
+                    get_logger().info(f"Could not parse code docs: {d}")
 
         is_successful = self.git_provider.publish_code_suggestions(docs)
         if not is_successful:
-            logging.info("Failed to publish code docs, trying to publish each docs separately")
+            get_logger().info("Failed to publish code docs, trying to publish each docs separately")
             for doc_suggestion in docs:
                 self.git_provider.publish_code_suggestions([doc_suggestion])
 
@@ -154,7 +160,7 @@ class PRAddDocs:
                         new_code_snippet = new_code_snippet.rstrip() + "\n" + original_initial_line
         except Exception as e:
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Could not dedent code snippet for file {relevant_file}, error: {e}")
+                get_logger().info(f"Could not dedent code snippet for file {relevant_file}, error: {e}")
 
         return new_code_snippet
 

pr_agent/tools/pr_code_suggestions.py

@@ -1,16 +1,17 @@
 import copy
-import logging
 import textwrap
-from typing import List, Dict
+from typing import Dict, List
+
 from jinja2 import Environment, StrictUndefined
 
 from pr_agent.algo.ai_handler import AiHandler
-from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models, get_pr_multi_diffs
+from pr_agent.algo.pr_processing import get_pr_diff, get_pr_multi_diffs, retry_with_fallback_models
 from pr_agent.algo.token_handler import TokenHandler
 from pr_agent.algo.utils import load_yaml
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers import BitbucketProvider, get_git_provider
+from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import get_main_pr_language
+from pr_agent.log import get_logger
 
 
 class PRCodeSuggestions:
@@ -52,42 +53,42 @@ class PRCodeSuggestions:
 
     async def run(self):
         try:
-            logging.info('Generating code suggestions for PR...')
+            get_logger().info('Generating code suggestions for PR...')
             if get_settings().config.publish_output:
                 self.git_provider.publish_comment("Preparing review...", is_temporary=True)
 
-            logging.info('Preparing PR review...')
+            get_logger().info('Preparing PR review...')
             if not self.is_extended:
                 await retry_with_fallback_models(self._prepare_prediction)
                 data = self._prepare_pr_code_suggestions()
             else:
                 data = await retry_with_fallback_models(self._prepare_prediction_extended)
             if (not data) or (not 'Code suggestions' in data):
-                logging.info('No code suggestions found for PR.')
+                get_logger().info('No code suggestions found for PR.')
                 return
 
             if (not self.is_extended and get_settings().pr_code_suggestions.rank_suggestions) or \
                     (self.is_extended and get_settings().pr_code_suggestions.rank_extended_suggestions):
-                logging.info('Ranking Suggestions...')
+                get_logger().info('Ranking Suggestions...')
                 data['Code suggestions'] = await self.rank_suggestions(data['Code suggestions'])
 
             if get_settings().config.publish_output:
-                logging.info('Pushing PR review...')
+                get_logger().info('Pushing PR review...')
                 self.git_provider.remove_initial_comment()
-                logging.info('Pushing inline code suggestions...')
+                get_logger().info('Pushing inline code suggestions...')
                 self.push_inline_code_suggestions(data)
         except Exception as e:
-            logging.error(f"Failed to generate code suggestions for PR, error: {e}")
+            get_logger().error(f"Failed to generate code suggestions for PR, error: {e}")
 
     async def _prepare_prediction(self, model: str):
-        logging.info('Getting PR diff...')
+        get_logger().info('Getting PR diff...')
         self.patches_diff = get_pr_diff(self.git_provider,
                                         self.token_handler,
                                         model,
                                         add_line_numbers_to_hunks=True,
                                         disable_extra_lines=True)
 
-        logging.info('Getting AI prediction...')
+        get_logger().info('Getting AI prediction...')
         self.prediction = await self._get_prediction(model)
 
     async def _get_prediction(self, model: str):
@@ -97,8 +98,8 @@ class PRCodeSuggestions:
         system_prompt = environment.from_string(get_settings().pr_code_suggestions_prompt.system).render(variables)
         user_prompt = environment.from_string(get_settings().pr_code_suggestions_prompt.user).render(variables)
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-            logging.info(f"\nUser prompt:\n{user_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
         response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
                                                                         system=system_prompt, user=user_prompt)
 
@@ -120,7 +121,7 @@ class PRCodeSuggestions:
         for d in data['Code suggestions']:
             try:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.info(f"suggestion: {d}")
+                    get_logger().info(f"suggestion: {d}")
                 relevant_file = d['relevant file'].strip()
                 relevant_lines_start = int(d['relevant lines start'])  # absolute position
                 relevant_lines_end = int(d['relevant lines end'])
@@ -136,11 +137,11 @@ class PRCodeSuggestions:
                                          'relevant_lines_end': relevant_lines_end})
             except Exception:
                 if get_settings().config.verbosity_level >= 2:
-                    logging.info(f"Could not parse suggestion: {d}")
+                    get_logger().info(f"Could not parse suggestion: {d}")
 
         is_successful = self.git_provider.publish_code_suggestions(code_suggestions)
         if not is_successful:
-            logging.info("Failed to publish code suggestions, trying to publish each suggestion separately")
+            get_logger().info("Failed to publish code suggestions, trying to publish each suggestion separately")
             for code_suggestion in code_suggestions:
                 self.git_provider.publish_code_suggestions([code_suggestion])
 
@@ -162,19 +163,19 @@ class PRCodeSuggestions:
                     new_code_snippet = textwrap.indent(new_code_snippet, delta_spaces * " ").rstrip('\n')
         except Exception as e:
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"Could not dedent code snippet for file {relevant_file}, error: {e}")
+                get_logger().info(f"Could not dedent code snippet for file {relevant_file}, error: {e}")
 
         return new_code_snippet
 
     async def _prepare_prediction_extended(self, model: str) -> dict:
-        logging.info('Getting PR diff...')
+        get_logger().info('Getting PR diff...')
         patches_diff_list = get_pr_multi_diffs(self.git_provider, self.token_handler, model,
                                                max_calls=get_settings().pr_code_suggestions.max_number_of_calls)
 
-        logging.info('Getting multi AI predictions...')
+        get_logger().info('Getting multi AI predictions...')
         prediction_list = []
         for i, patches_diff in enumerate(patches_diff_list):
-            logging.info(f"Processing chunk {i + 1} of {len(patches_diff_list)}")
+            get_logger().info(f"Processing chunk {i + 1} of {len(patches_diff_list)}")
             self.patches_diff = patches_diff
             prediction = await self._get_prediction(model)
             prediction_list.append(prediction)
@@ -222,8 +223,8 @@ class PRCodeSuggestions:
                 variables)
             user_prompt = environment.from_string(get_settings().pr_sort_code_suggestions_prompt.user).render(variables)
             if get_settings().config.verbosity_level >= 2:
-                logging.info(f"\nSystem prompt:\n{system_prompt}")
+                get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-                logging.info(f"\nUser prompt:\n{user_prompt}")
+                get_logger().info(f"\nUser prompt:\n{user_prompt}")
             response, finish_reason = await self.ai_handler.chat_completion(model=model, system=system_prompt,
                                                                             user=user_prompt)
 
@@ -238,7 +239,7 @@ class PRCodeSuggestions:
                 data_sorted = data_sorted[:new_len]
         except Exception as e:
             if get_settings().config.verbosity_level >= 1:
-                logging.info(f"Could not sort suggestions, error: {e}")
+                get_logger().info(f"Could not sort suggestions, error: {e}")
             data_sorted = suggestion_list
 
         return data_sorted

pr_agent/tools/pr_config.py

@@ -1,7 +1,6 @@
-import logging
-
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
+from pr_agent.log import get_logger
 
 
 class PRConfig:
@@ -19,11 +18,11 @@ class PRConfig:
         self.git_provider = get_git_provider()(pr_url)
 
     async def run(self):
-        logging.info('Getting configuration settings...')
+        get_logger().info('Getting configuration settings...')
-        logging.info('Preparing configs...')
+        get_logger().info('Preparing configs...')
         pr_comment = self._prepare_pr_configs()
         if get_settings().config.publish_output:
-            logging.info('Pushing configs...')
+            get_logger().info('Pushing configs...')
             self.git_provider.publish_comment(pr_comment)
             self.git_provider.remove_initial_comment()
         return ""
@@ -44,5 +43,5 @@ class PRConfig:
                 comment_str += f"\n{header.lower()}.{key.lower()} = {repr(value) if isinstance(value, str) else value}"
                 comment_str += "  "
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"comment_str:\n{comment_str}")
+            get_logger().info(f"comment_str:\n{comment_str}")
         return comment_str

pr_agent/tools/pr_description.py

@@ -1,7 +1,5 @@
 import copy
-import json
 import re
-import logging
 from typing import List, Tuple
 
 from jinja2 import Environment, StrictUndefined
@@ -9,10 +7,11 @@ from jinja2 import Environment, StrictUndefined
 from pr_agent.algo.ai_handler import AiHandler
 from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
 from pr_agent.algo.token_handler import TokenHandler
-from pr_agent.algo.utils import load_yaml
+from pr_agent.algo.utils import load_yaml, set_custom_labels, get_user_labels
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import get_main_pr_language
+from pr_agent.log import get_logger
 
 
 class PRDescription:
@@ -41,8 +40,12 @@ class PRDescription:
             "description": self.git_provider.get_pr_description(full=False),
             "language": self.main_pr_language,
             "diff": "",  # empty diff for initial calculation
+            "use_bullet_points": get_settings().pr_description.use_bullet_points,
             "extra_instructions": get_settings().pr_description.extra_instructions,
-            "commit_messages_str": self.git_provider.get_commit_messages()
+            "commit_messages_str": self.git_provider.get_commit_messages(),
+            "enable_custom_labels": get_settings().config.enable_custom_labels,
+            "custom_labels": "",
+            "custom_labels_examples": "",
         }
 
         self.user_description = self.git_provider.get_user_description()
@@ -65,13 +68,13 @@ class PRDescription:
         """
 
         try:
-            logging.info(f"Generating a PR description {self.pr_id}")
+            get_logger().info(f"Generating a PR description {self.pr_id}")
             if get_settings().config.publish_output:
                 self.git_provider.publish_comment("Preparing PR description...", is_temporary=True)
 
             await retry_with_fallback_models(self._prepare_prediction)
 
-            logging.info(f"Preparing answer {self.pr_id}")
+            get_logger().info(f"Preparing answer {self.pr_id}")
             if self.prediction:
                 self._prepare_data()
             else:
@@ -88,19 +91,19 @@ class PRDescription:
             full_markdown_description = f"## Title\n\n{pr_title}\n\n___\n{pr_body}"
 
             if get_settings().config.publish_output:
-                logging.info(f"Pushing answer {self.pr_id}")
+                get_logger().info(f"Pushing answer {self.pr_id}")
                 if get_settings().pr_description.publish_description_as_comment:
                     self.git_provider.publish_comment(full_markdown_description)
                 else:
                     self.git_provider.publish_description(pr_title, pr_body)
                     if get_settings().pr_description.publish_labels and self.git_provider.is_supported("get_labels"):
                         current_labels = self.git_provider.get_labels()
-                        if current_labels is None:
+                        user_labels = get_user_labels(current_labels)
-                            current_labels = []
+
-                        self.git_provider.publish_labels(pr_labels + current_labels)
+                        self.git_provider.publish_labels(pr_labels + user_labels)
                 self.git_provider.remove_initial_comment()
         except Exception as e:
-            logging.error(f"Error generating PR description {self.pr_id}: {e}")
+            get_logger().error(f"Error generating PR description {self.pr_id}: {e}")
         
         return ""
 
@@ -121,9 +124,9 @@ class PRDescription:
         if get_settings().pr_description.use_description_markers and 'pr_agent:' not in self.user_description:
             return None
 
-        logging.info(f"Getting PR diff {self.pr_id}")
+        get_logger().info(f"Getting PR diff {self.pr_id}")
         self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
-        logging.info(f"Getting AI prediction {self.pr_id}")
+        get_logger().info(f"Getting AI prediction {self.pr_id}")
         self.prediction = await self._get_prediction(model)
 
     async def _get_prediction(self, model: str) -> str:
@@ -140,12 +143,13 @@ class PRDescription:
         variables["diff"] = self.patches_diff  # update diff
 
         environment = Environment(undefined=StrictUndefined)
+        set_custom_labels(variables)
         system_prompt = environment.from_string(get_settings().pr_description_prompt.system).render(variables)
         user_prompt = environment.from_string(get_settings().pr_description_prompt.user).render(variables)
 
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-            logging.info(f"\nUser prompt:\n{user_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
 
         response, finish_reason = await self.ai_handler.chat_completion(
             model=model,
@@ -154,8 +158,10 @@ class PRDescription:
             user=user_prompt
         )
 
-        return response
+        if get_settings().config.verbosity_level >= 2:
+            get_logger().info(f"\nAI response:\n{response}")
 
+        return response
 
     def _prepare_data(self):
         # Load the AI prediction data into a dictionary
@@ -169,16 +175,20 @@ class PRDescription:
         pr_types = []
 
         # If the 'PR Type' key is present in the dictionary, split its value by comma and assign it to 'pr_types'
-        if 'PR Type' in self.data:
+        if 'PR Labels' in self.data:
+            if type(self.data['PR Labels']) == list:
+                pr_types = self.data['PR Labels']
+            elif type(self.data['PR Labels']) == str:
+                pr_types = self.data['PR Labels'].split(',')
+        elif 'PR Type' in self.data:
             if type(self.data['PR Type']) == list:
                 pr_types = self.data['PR Type']
             elif type(self.data['PR Type']) == str:
                 pr_types = self.data['PR Type'].split(',')
-
         return pr_types
 
     def _prepare_pr_answer_with_markers(self) -> Tuple[str, str]:
-        logging.info(f"Using description marker replacements {self.pr_id}")
+        get_logger().info(f"Using description marker replacements {self.pr_id}")
         title = self.vars["title"]
         body = self.user_description
         if get_settings().pr_description.include_generated_by_header:
@@ -186,6 +196,11 @@ class PRDescription:
         else:
             ai_header = ""
 
+        ai_type = self.data.get('PR Type')
+        if ai_type and not re.search(r'<!--\s*pr_agent:type\s*-->', body):
+            pr_type = f"{ai_header}{ai_type}"
+            body = body.replace('pr_agent:type', pr_type)
+
         ai_summary = self.data.get('PR Description')
         if ai_summary and not re.search(r'<!--\s*pr_agent:summary\s*-->', body):
             summary = f"{ai_header}{ai_summary}"
@@ -215,6 +230,11 @@ class PRDescription:
 
         # Iterate over the dictionary items and append the key and value to 'markdown_text' in a markdown format
         markdown_text = ""
+        # Don't display 'PR Labels'
+        if 'PR Labels' in self.data and self.git_provider.is_supported("get_labels"):
+            self.data.pop('PR Labels')
+        if not get_settings().pr_description.enable_pr_type:
+            self.data.pop('PR Type')
         for key, value in self.data.items():
             markdown_text += f"## {key}\n\n"
             markdown_text += f"{value}\n\n"
@@ -240,7 +260,7 @@ class PRDescription:
                 for file in value:
                     filename = file['filename'].replace("'", "`")
                     description = file['changes in file']
-                    pr_body += f'`{filename}`: {description}\n'
+                    pr_body += f'- `{filename}`: {description}\n'
                 if self.git_provider.is_supported("gfm_markdown"):
                     pr_body +="</details>\n"
             else:
@@ -252,6 +272,6 @@ class PRDescription:
                 pr_body += "\n___\n"
 
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"title:\n{title}\n{pr_body}")
+            get_logger().info(f"title:\n{title}\n{pr_body}")
 
         return title, pr_body

pr_agent/tools/pr_generate_labels.py

@@ -0,0 +1,169 @@
+import copy
+import re
+from typing import List, Tuple
+
+from jinja2 import Environment, StrictUndefined
+
+from pr_agent.algo.ai_handler import AiHandler
+from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
+from pr_agent.algo.token_handler import TokenHandler
+from pr_agent.algo.utils import load_yaml, set_custom_labels, get_user_labels
+from pr_agent.config_loader import get_settings
+from pr_agent.git_providers import get_git_provider
+from pr_agent.git_providers.git_provider import get_main_pr_language
+from pr_agent.log import get_logger
+
+
+class PRGenerateLabels:
+    def __init__(self, pr_url: str, args: list = None):
+        """
+        Initialize the PRGenerateLabels object with the necessary attributes and objects for generating labels
+        corresponding to the PR using an AI model.
+        Args:
+            pr_url (str): The URL of the pull request.
+            args (list, optional): List of arguments passed to the PRGenerateLabels class. Defaults to None.
+        """
+        # Initialize the git provider and main PR language
+        self.git_provider = get_git_provider()(pr_url)
+        self.main_pr_language = get_main_pr_language(
+            self.git_provider.get_languages(), self.git_provider.get_files()
+        )
+        self.pr_id = self.git_provider.get_pr_id()
+
+        # Initialize the AI handler
+        self.ai_handler = AiHandler()
+    
+        # Initialize the variables dictionary
+        self.vars = {
+            "title": self.git_provider.pr.title,
+            "branch": self.git_provider.get_pr_branch(),
+            "description": self.git_provider.get_pr_description(full=False),
+            "language": self.main_pr_language,
+            "diff": "",  # empty diff for initial calculation
+            "use_bullet_points": get_settings().pr_description.use_bullet_points,
+            "extra_instructions": get_settings().pr_description.extra_instructions,
+            "commit_messages_str": self.git_provider.get_commit_messages(),
+            "custom_labels": "",
+            "custom_labels_examples": "",
+            "enable_custom_labels": get_settings().config.enable_custom_labels,
+        }
+
+        # Initialize the token handler
+        self.token_handler = TokenHandler(
+            self.git_provider.pr,
+            self.vars,
+            get_settings().pr_custom_labels_prompt.system,
+            get_settings().pr_custom_labels_prompt.user,
+        )
+    
+        # Initialize patches_diff and prediction attributes
+        self.patches_diff = None
+        self.prediction = None
+
+    async def run(self):
+        """
+        Generates a PR labels using an AI model and publishes it to the PR.
+        """
+
+        try:
+            get_logger().info(f"Generating a PR labels {self.pr_id}")
+            if get_settings().config.publish_output:
+                self.git_provider.publish_comment("Preparing PR labels...", is_temporary=True)
+
+            await retry_with_fallback_models(self._prepare_prediction)
+
+            get_logger().info(f"Preparing answer {self.pr_id}")
+            if self.prediction:
+                self._prepare_data()
+            else:
+                return None
+
+            pr_labels = self._prepare_labels()
+
+            if get_settings().config.publish_output:
+                get_logger().info(f"Pushing labels {self.pr_id}")
+
+                current_labels = self.git_provider.get_labels()
+                user_labels = get_user_labels(current_labels)
+                pr_labels = pr_labels + user_labels
+
+                if self.git_provider.is_supported("get_labels"):
+                    self.git_provider.publish_labels(pr_labels)
+                elif pr_labels:
+                    value = ', '.join(v for v in pr_labels)
+                    pr_labels_text = f"## PR Labels:\n{value}\n"
+                    self.git_provider.publish_comment(pr_labels_text, is_temporary=False)
+                self.git_provider.remove_initial_comment()
+        except Exception as e:
+            get_logger().error(f"Error generating PR labels {self.pr_id}: {e}")
+        
+        return ""
+
+    async def _prepare_prediction(self, model: str) -> None:
+        """
+        Prepare the AI prediction for the PR labels based on the provided model.
+
+        Args:
+            model (str): The name of the model to be used for generating the prediction.
+
+        Returns:
+            None
+
+        Raises:
+            Any exceptions raised by the 'get_pr_diff' and '_get_prediction' functions.
+
+        """
+
+        get_logger().info(f"Getting PR diff {self.pr_id}")
+        self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
+        get_logger().info(f"Getting AI prediction {self.pr_id}")
+        self.prediction = await self._get_prediction(model)
+
+    async def _get_prediction(self, model: str) -> str:
+        """
+        Generate an AI prediction for the PR labels based on the provided model.
+
+        Args:
+            model (str): The name of the model to be used for generating the prediction.
+
+        Returns:
+            str: The generated AI prediction.
+        """
+        variables = copy.deepcopy(self.vars)
+        variables["diff"] = self.patches_diff  # update diff
+
+        environment = Environment(undefined=StrictUndefined)
+        set_custom_labels(variables)
+        system_prompt = environment.from_string(get_settings().pr_custom_labels_prompt.system).render(variables)
+        user_prompt = environment.from_string(get_settings().pr_custom_labels_prompt.user).render(variables)
+
+        if get_settings().config.verbosity_level >= 2:
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
+
+        response, finish_reason = await self.ai_handler.chat_completion(
+            model=model,
+            temperature=0.2,
+            system=system_prompt,
+            user=user_prompt
+        )
+
+        return response
+
+    def _prepare_data(self):
+        # Load the AI prediction data into a dictionary
+        self.data = load_yaml(self.prediction.strip())
+
+
+
+    def _prepare_labels(self) -> List[str]:
+        pr_types = []
+
+        # If the 'PR Type' key is present in the dictionary, split its value by comma and assign it to 'pr_types'
+        if 'PR Type' in self.data:
+            if type(self.data['PR Type']) == list:
+                pr_types = self.data['PR Type']
+            elif type(self.data['PR Type']) == str:
+                pr_types = self.data['PR Type'].split(',')
+
+        return pr_types

pr_agent/tools/pr_information_from_user.py

@@ -1,5 +1,4 @@
 import copy
-import logging
 
 from jinja2 import Environment, StrictUndefined
 
@@ -9,6 +8,7 @@ from pr_agent.algo.token_handler import TokenHandler
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import get_main_pr_language
+from pr_agent.log import get_logger
 
 
 class PRInformationFromUser:
@@ -34,22 +34,22 @@ class PRInformationFromUser:
         self.prediction = None
 
     async def run(self):
-        logging.info('Generating question to the user...')
+        get_logger().info('Generating question to the user...')
         if get_settings().config.publish_output:
             self.git_provider.publish_comment("Preparing questions...", is_temporary=True)
         await retry_with_fallback_models(self._prepare_prediction)
-        logging.info('Preparing questions...')
+        get_logger().info('Preparing questions...')
         pr_comment = self._prepare_pr_answer()
         if get_settings().config.publish_output:
-            logging.info('Pushing questions...')
+            get_logger().info('Pushing questions...')
             self.git_provider.publish_comment(pr_comment)
             self.git_provider.remove_initial_comment()
         return ""
 
     async def _prepare_prediction(self, model):
-        logging.info('Getting PR diff...')
+        get_logger().info('Getting PR diff...')
         self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
-        logging.info('Getting AI prediction...')
+        get_logger().info('Getting AI prediction...')
         self.prediction = await self._get_prediction(model)
 
     async def _get_prediction(self, model: str):
@@ -59,8 +59,8 @@ class PRInformationFromUser:
         system_prompt = environment.from_string(get_settings().pr_information_from_user_prompt.system).render(variables)
         user_prompt = environment.from_string(get_settings().pr_information_from_user_prompt.user).render(variables)
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-            logging.info(f"\nUser prompt:\n{user_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
         response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
                                                                         system=system_prompt, user=user_prompt)
         return response
@@ -68,7 +68,7 @@ class PRInformationFromUser:
     def _prepare_pr_answer(self) -> str:
         model_output = self.prediction.strip()
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"answer_str:\n{model_output}")
+            get_logger().info(f"answer_str:\n{model_output}")
         answer_str = f"{model_output}\n\n Please respond to the questions above in the following format:\n\n" +\
                      "\n>/answer\n>1) ...\n>2) ...\n>...\n"
         return answer_str

pr_agent/tools/pr_questions.py

@@ -1,5 +1,4 @@
 import copy
-import logging
 
 from jinja2 import Environment, StrictUndefined
 
@@ -9,6 +8,7 @@ from pr_agent.algo.token_handler import TokenHandler
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import get_main_pr_language
+from pr_agent.log import get_logger
 
 
 class PRQuestions:
@@ -44,22 +44,22 @@ class PRQuestions:
         return question_str
 
     async def run(self):
-        logging.info('Answering a PR question...')
+        get_logger().info('Answering a PR question...')
         if get_settings().config.publish_output:
             self.git_provider.publish_comment("Preparing answer...", is_temporary=True)
         await retry_with_fallback_models(self._prepare_prediction)
-        logging.info('Preparing answer...')
+        get_logger().info('Preparing answer...')
         pr_comment = self._prepare_pr_answer()
         if get_settings().config.publish_output:
-            logging.info('Pushing answer...')
+            get_logger().info('Pushing answer...')
             self.git_provider.publish_comment(pr_comment)
             self.git_provider.remove_initial_comment()
         return ""
 
     async def _prepare_prediction(self, model: str):
-        logging.info('Getting PR diff...')
+        get_logger().info('Getting PR diff...')
         self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
-        logging.info('Getting AI prediction...')
+        get_logger().info('Getting AI prediction...')
         self.prediction = await self._get_prediction(model)
 
     async def _get_prediction(self, model: str):
@@ -69,8 +69,8 @@ class PRQuestions:
         system_prompt = environment.from_string(get_settings().pr_questions_prompt.system).render(variables)
         user_prompt = environment.from_string(get_settings().pr_questions_prompt.user).render(variables)
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-            logging.info(f"\nUser prompt:\n{user_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
         response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
                                                                         system=system_prompt, user=user_prompt)
         return response
@@ -79,5 +79,5 @@ class PRQuestions:
         answer_str = f"Question: {self.question_str}\n\n"
         answer_str += f"Answer:\n{self.prediction.strip()}\n\n"
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"answer_str:\n{answer_str}")
+            get_logger().info(f"answer_str:\n{answer_str}")
         return answer_str

pr_agent/tools/pr_reviewer.py

@@ -1,6 +1,5 @@
 import copy
-import json
+import datetime
-import logging
 from collections import OrderedDict
 from typing import List, Tuple
 
@@ -9,13 +8,13 @@ from jinja2 import Environment, StrictUndefined
 from yaml import SafeLoader
 
 from pr_agent.algo.ai_handler import AiHandler
-from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models, \
+from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
-    find_line_number_of_relevant_line_in_file, clip_tokens
 from pr_agent.algo.token_handler import TokenHandler
-from pr_agent.algo.utils import convert_to_markdown, try_fix_json, try_fix_yaml, load_yaml
+from pr_agent.algo.utils import convert_to_markdown, load_yaml, try_fix_yaml, set_custom_labels, get_user_labels
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import IncrementalPR, get_main_pr_language
+from pr_agent.log import get_logger
 from pr_agent.servers.help import actions_help_text, bot_help_text
 
 
@@ -65,6 +64,8 @@ class PRReviewer:
             'answer_str': answer_str,
             "extra_instructions": get_settings().pr_reviewer.extra_instructions,
             "commit_messages_str": self.git_provider.get_commit_messages(),
+            "custom_labels": "",
+            "enable_custom_labels": get_settings().config.enable_custom_labels,
         }
 
         self.token_handler = TokenHandler(
@@ -98,29 +99,41 @@ class PRReviewer:
 
         try:
             if self.is_auto and not get_settings().pr_reviewer.automatic_review:
-                logging.info(f'Automatic review is disabled {self.pr_url}')
+                get_logger().info(f'Automatic review is disabled {self.pr_url}')
+                return None
+            if self.incremental.is_incremental and not self._can_run_incremental_review():
                 return None
 
-            logging.info(f'Reviewing PR: {self.pr_url} ...')
+            get_logger().info(f'Reviewing PR: {self.pr_url} ...')
 
             if get_settings().config.publish_output:
                 self.git_provider.publish_comment("Preparing review...", is_temporary=True)
 
             await retry_with_fallback_models(self._prepare_prediction)
 
-            logging.info('Preparing PR review...')
+            get_logger().info('Preparing PR review...')
             pr_comment = self._prepare_pr_review()
 
             if get_settings().config.publish_output:
-                logging.info('Pushing PR review...')
+                get_logger().info('Pushing PR review...')
-                self.git_provider.publish_comment(pr_comment)
+                previous_review_comment = self._get_previous_review_comment()
-                self.git_provider.remove_initial_comment()
 
+                # publish the review
+                if get_settings().pr_reviewer.persistent_comment and not self.incremental.is_incremental:
+                    self.git_provider.publish_persistent_comment(pr_comment,
+                                                                 initial_header="## PR Analysis",
+                                                                 update_header=True)
+                else:
+                    self.git_provider.publish_comment(pr_comment)
+
+                self.git_provider.remove_initial_comment()
+                if previous_review_comment:
+                    self._remove_previous_review_comment(previous_review_comment)
                 if get_settings().pr_reviewer.inline_code_comments:
-                    logging.info('Pushing inline code comments...')
+                    get_logger().info('Pushing inline code comments...')
                     self._publish_inline_code_comments()
         except Exception as e:
-            logging.error(f"Failed to review PR: {e}")
+            get_logger().error(f"Failed to review PR: {e}")
 
     async def _prepare_prediction(self, model: str) -> None:
         """
@@ -132,9 +145,9 @@ class PRReviewer:
         Returns:
             None
         """
-        logging.info('Getting PR diff...')
+        get_logger().info('Getting PR diff...')
         self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
-        logging.info('Getting AI prediction...')
+        get_logger().info('Getting AI prediction...')
         self.prediction = await self._get_prediction(model)
 
     async def _get_prediction(self, model: str) -> str:
@@ -155,8 +168,8 @@ class PRReviewer:
         user_prompt = environment.from_string(get_settings().pr_review_prompt.user).render(variables)
 
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-            logging.info(f"\nUser prompt:\n{user_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
 
         response, finish_reason = await self.ai_handler.chat_completion(
             model=model,
@@ -165,6 +178,9 @@ class PRReviewer:
             user=user_prompt
         )
 
+        if get_settings().config.verbosity_level >= 2:
+            get_logger().info(f"\nAI response:\n{response}")
+
         return response
 
     def _prepare_pr_review(self) -> str:
@@ -211,28 +227,20 @@ class PRReviewer:
                             suggestion['relevant line'] = f"[{suggestion['relevant line']}]({link})"
                     else:
                         pass
-                        # try:
-                        #     relevant_file = suggestion['relevant file'].strip('`').strip("'")
-                        #     relevant_line_str = suggestion['relevant line']
-                        #     if not relevant_line_str:
-                        #         return ""
-                        #
-                        #     position, absolute_position = find_line_number_of_relevant_line_in_file(
-                        #         self.git_provider.diff_files, relevant_file, relevant_line_str)
-                        #     if absolute_position != -1:
-                        #         suggestion[
-                        #             'relevant line'] = f"{suggestion['relevant line']} (line {absolute_position})"
-                        # except:
-                        #     pass
 
 
         # Add incremental review section
         if self.incremental.is_incremental:
             last_commit_url = f"{self.git_provider.get_pr_url()}/commits/" \
                               f"{self.git_provider.incremental.first_new_commit_sha}"
+            last_commit_msg = self.incremental.commits_range[0].commit.message if self.incremental.commits_range else ""
+            incremental_review_markdown_text = f"Starting from commit {last_commit_url}"
+            if last_commit_msg:
+                replacement = last_commit_msg.splitlines(keepends=False)[0].replace('_', r'\_')
+                incremental_review_markdown_text += f"  \n_({replacement})_"
             data = OrderedDict(data)
             data.update({'Incremental PR Review': {
-                "⏮️ Review for commits since previous PR-Agent review": f"Starting from commit {last_commit_url}"}})
+                "⏮️ Review for commits since previous PR-Agent review": incremental_review_markdown_text}})
             data.move_to_end('Incremental PR Review', last=False)
 
         markdown_text = convert_to_markdown(data, self.git_provider.is_supported("gfm_markdown"))
@@ -247,9 +255,12 @@ class PRReviewer:
             else:
                 markdown_text += actions_help_text
 
+        # Add custom labels from the review prediction (effort, security)
+        self.set_review_labels(data)
+
         # Log markdown response if verbosity level is high
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"Markdown response:\n{markdown_text}")
+            get_logger().info(f"Markdown response:\n{markdown_text}")
 
         if markdown_text == None or len(markdown_text) == 0:
             markdown_text = ""
@@ -268,7 +279,7 @@ class PRReviewer:
         try:
             data = yaml.load(review_text, Loader=SafeLoader)
         except Exception as e:
-            logging.error(f"Failed to parse AI prediction: {e}")
+            get_logger().error(f"Failed to parse AI prediction: {e}")
             data = try_fix_yaml(review_text)
 
         comments: List[str] = []
@@ -277,7 +288,7 @@ class PRReviewer:
             relevant_line_in_file = suggestion.get('relevant line', '').strip()
             content = suggestion.get('suggestion', '')
             if not relevant_file or not relevant_line_in_file or not content:
-                logging.info("Skipping inline comment with missing file/line/content")
+                get_logger().info("Skipping inline comment with missing file/line/content")
                 continue
 
             if self.git_provider.is_supported("create_inline_comment"):
@@ -313,3 +324,82 @@ class PRReviewer:
                     break
 
         return question_str, answer_str
+
+    def _get_previous_review_comment(self):
+        """
+        Get the previous review comment if it exists.
+        """
+        try:
+            if get_settings().pr_reviewer.remove_previous_review_comment and hasattr(self.git_provider, "get_previous_review"):
+                return self.git_provider.get_previous_review(
+                    full=not self.incremental.is_incremental,
+                    incremental=self.incremental.is_incremental,
+                )
+        except Exception as e:
+            get_logger().exception(f"Failed to get previous review comment, error: {e}")
+
+    def _remove_previous_review_comment(self, comment):
+        """
+        Remove the previous review comment if it exists.
+        """
+        try:
+            if get_settings().pr_reviewer.remove_previous_review_comment and comment:
+                self.git_provider.remove_comment(comment)
+        except Exception as e:
+            get_logger().exception(f"Failed to remove previous review comment, error: {e}")
+
+    def _can_run_incremental_review(self) -> bool:
+        """Checks if we can run incremental review according the various configurations and previous review"""
+        # checking if running is auto mode but there are no new commits
+        if self.is_auto and not self.incremental.first_new_commit_sha:
+            get_logger().info(f"Incremental review is enabled for {self.pr_url} but there are no new commits")
+            return False
+        # checking if there are enough commits to start the review
+        num_new_commits = len(self.incremental.commits_range)
+        num_commits_threshold = get_settings().pr_reviewer.minimal_commits_for_incremental_review
+        not_enough_commits = num_new_commits < num_commits_threshold
+        # checking if the commits are not too recent to start the review
+        recent_commits_threshold = datetime.datetime.now() - datetime.timedelta(
+            minutes=get_settings().pr_reviewer.minimal_minutes_for_incremental_review
+        )
+        last_seen_commit_date = (
+            self.incremental.last_seen_commit.commit.author.date if self.incremental.last_seen_commit else None
+        )
+        all_commits_too_recent = (
+            last_seen_commit_date > recent_commits_threshold if self.incremental.last_seen_commit else False
+        )
+        # check all the thresholds or just one to start the review
+        condition = any if get_settings().pr_reviewer.require_all_thresholds_for_incremental_review else all
+        if condition((not_enough_commits, all_commits_too_recent)):
+            get_logger().info(
+                f"Incremental review is enabled for {self.pr_url} but didn't pass the threshold check to run:"
+                f"\n* Number of new commits = {num_new_commits} (threshold is {num_commits_threshold})"
+                f"\n* Last seen commit date = {last_seen_commit_date} (threshold is {recent_commits_threshold})"
+            )
+            return False
+        return True
+
+    def set_review_labels(self, data):
+        if (get_settings().pr_reviewer.enable_review_labels_security or
+                get_settings().pr_reviewer.enable_review_labels_effort):
+            try:
+                review_labels = []
+                if get_settings().pr_reviewer.enable_review_labels_effort:
+                    estimated_effort = data['PR Analysis']['Estimated effort to review [1-5]']
+                    estimated_effort_number = int(estimated_effort.split(',')[0])
+                    if 1 <= estimated_effort_number <= 5: # 1, because ...
+                        review_labels.append(f'Review effort [1-5]: {estimated_effort_number}')
+                if get_settings().pr_reviewer.enable_review_labels_security:
+                    security_concerns = data['PR Analysis']['Security concerns'] # yes, because ...
+                    security_concerns_bool = 'yes' in security_concerns.lower() or 'true' in security_concerns.lower()
+                    if security_concerns_bool:
+                        review_labels.append('Possible security concern')
+
+                if review_labels:
+                    current_labels = self.git_provider.get_labels()
+                    current_labels_filtered = [label for label in current_labels if
+                                               not label.lower().startswith('review effort [1-5]:') and not label.lower().startswith(
+                                                   'possible security concern')]
+                    self.git_provider.publish_labels(review_labels + current_labels_filtered)
+            except Exception as e:
+                get_logger().error(f"Failed to set review labels, error: {e}")

pr_agent/tools/pr_similar_issue.py

@@ -1,18 +1,18 @@
-import copy
+import time
-import json
-import logging
 from enum import Enum
-from typing import List, Tuple
+from typing import List
-import pinecone
+
 import openai
 import pandas as pd
+import pinecone
+from pinecone_datasets import Dataset, DatasetMetadata
 from pydantic import BaseModel, Field
 
-from pr_agent.algo import MAX_TOKENS
 from pr_agent.algo.token_handler import TokenHandler
+from pr_agent.algo.utils import get_max_tokens
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
-from pinecone_datasets import Dataset, DatasetMetadata
+from pr_agent.log import get_logger
 
 MODEL = "text-embedding-ada-002"
 
@@ -47,6 +47,13 @@ class PRSimilarIssue:
 
         # check if index exists, and if repo is already indexed
         run_from_scratch = False
+        if run_from_scratch:  # for debugging
+            pinecone.init(api_key=api_key, environment=environment)
+            if index_name in pinecone.list_indexes():
+                get_logger().info('Removing index...')
+                pinecone.delete_index(index_name)
+                get_logger().info('Done')
+
         upsert = True
         pinecone.init(api_key=api_key, environment=environment)
         if not index_name in pinecone.list_indexes():
@@ -62,11 +69,11 @@ class PRSimilarIssue:
                     upsert = False
 
         if run_from_scratch or upsert:  # index the entire repo
-            logging.info('Indexing the entire repo...')
+            get_logger().info('Indexing the entire repo...')
 
-            logging.info('Getting issues...')
+            get_logger().info('Getting issues...')
             issues = list(repo_obj.get_issues(state='all'))
-            logging.info('Done')
+            get_logger().info('Done')
             self._update_index_with_issues(issues, repo_name_for_index, upsert=upsert)
         else:  # update index if needed
             pinecone_index = pinecone.Index(index_name=index_name)
@@ -92,20 +99,20 @@ class PRSimilarIssue:
                     break
 
             if issues_to_update:
-                logging.info(f'Updating index with {counter} new issues...')
+                get_logger().info(f'Updating index with {counter} new issues...')
                 self._update_index_with_issues(issues_to_update, repo_name_for_index, upsert=True)
             else:
-                logging.info('No new issues to update')
+                get_logger().info('No new issues to update')
 
     async def run(self):
-        logging.info('Getting issue...')
+        get_logger().info('Getting issue...')
         repo_name, original_issue_number = self.git_provider._parse_issue_url(self.issue_url.split('=')[-1])
         issue_main = self.git_provider.repo_obj.get_issue(original_issue_number)
         issue_str, comments, number = self._process_issue(issue_main)
         openai.api_key = get_settings().openai.key
-        logging.info('Done')
+        get_logger().info('Done')
 
-        logging.info('Querying...')
+        get_logger().info('Querying...')
         res = openai.Embedding.create(input=[issue_str], engine=MODEL)
         embeds = [record['embedding'] for record in res['data']]
         pinecone_index = pinecone.Index(index_name=self.index_name)
@@ -117,7 +124,16 @@ class PRSimilarIssue:
         relevant_comment_number_list = []
         score_list = []
         for r in res['matches']:
-            issue_number = int(r["id"].split('.')[0].split('_')[-1])
+            # skip example issue
+            if 'example_issue_' in r["id"]:
+                continue
+
+            try:
+                issue_number = int(r["id"].split('.')[0].split('_')[-1])
+            except:
+                get_logger().debug(f"Failed to parse issue number from {r['id']}")
+                continue
+
             if original_issue_number == issue_number:
                 continue
             if issue_number not in relevant_issues_number_list:
@@ -127,9 +143,9 @@ class PRSimilarIssue:
             else:
                 relevant_comment_number_list.append(-1)
             score_list.append(str("{:.2f}".format(r['score'])))
-        logging.info('Done')
+        get_logger().info('Done')
 
-        logging.info('Publishing response...')
+        get_logger().info('Publishing response...')
         similar_issues_str = "### Similar Issues\n___\n\n"
         for i, issue_number_similar in enumerate(relevant_issues_number_list):
             issue = self.git_provider.repo_obj.get_issue(issue_number_similar)
@@ -140,8 +156,8 @@ class PRSimilarIssue:
             similar_issues_str += f"{i + 1}. **[{title}]({url})** (score={score_list[i]})\n\n"
         if get_settings().config.publish_output:
             response = issue_main.create_comment(similar_issues_str)
-        logging.info(similar_issues_str)
+        get_logger().info(similar_issues_str)
-        logging.info('Done')
+        get_logger().info('Done')
 
     def _process_issue(self, issue):
         header = issue.title
@@ -155,7 +171,7 @@ class PRSimilarIssue:
         return issue_str, comments, number
 
     def _update_index_with_issues(self, issues_list, repo_name_for_index, upsert=False):
-        logging.info('Processing issues...')
+        get_logger().info('Processing issues...')
         corpus = Corpus()
         example_issue_record = Record(
             id=f"example_issue_{repo_name_for_index}",
@@ -171,9 +187,9 @@ class PRSimilarIssue:
 
             counter += 1
             if counter % 100 == 0:
-                logging.info(f"Scanned {counter} issues")
+                get_logger().info(f"Scanned {counter} issues")
             if counter >= self.max_issues_to_scan:
-                logging.info(f"Scanned {self.max_issues_to_scan} issues, stopping")
+                get_logger().info(f"Scanned {self.max_issues_to_scan} issues, stopping")
                 break
 
             issue_str, comments, number = self._process_issue(issue)
@@ -181,7 +197,7 @@ class PRSimilarIssue:
             username = issue.user.login
             created_at = str(issue.created_at)
             if len(issue_str) < 8000 or \
-                    self.token_handler.count_tokens(issue_str) < MAX_TOKENS[MODEL]:  # fast reject first
+                    self.token_handler.count_tokens(issue_str) < get_max_tokens(MODEL):  # fast reject first
                 issue_record = Record(
                     id=issue_key + "." + "issue",
                     text=issue_str,
@@ -210,9 +226,9 @@ class PRSimilarIssue:
                             )
                             corpus.append(comment_record)
         df = pd.DataFrame(corpus.dict()["documents"])
-        logging.info('Done')
+        get_logger().info('Done')
 
-        logging.info('Embedding...')
+        get_logger().info('Embedding...')
         openai.api_key = get_settings().openai.key
         list_to_encode = list(df["text"].values)
         try:
@@ -220,7 +236,7 @@ class PRSimilarIssue:
             embeds = [record['embedding'] for record in res['data']]
         except:
             embeds = []
-            logging.error('Failed to embed entire list, embedding one by one...')
+            get_logger().error('Failed to embed entire list, embedding one by one...')
             for i, text in enumerate(list_to_encode):
                 try:
                     res = openai.Embedding.create(input=[text], engine=MODEL)
@@ -231,21 +247,23 @@ class PRSimilarIssue:
         meta = DatasetMetadata.empty()
         meta.dense_model.dimension = len(embeds[0])
         ds = Dataset.from_pandas(df, meta)
-        logging.info('Done')
+        get_logger().info('Done')
 
         api_key = get_settings().pinecone.api_key
         environment = get_settings().pinecone.environment
         if not upsert:
-            logging.info('Creating index from scratch...')
+            get_logger().info('Creating index from scratch...')
             ds.to_pinecone_index(self.index_name, api_key=api_key, environment=environment)
+            time.sleep(15)  # wait for pinecone to finalize indexing before querying
         else:
-            logging.info('Upserting index...')
+            get_logger().info('Upserting index...')
             namespace = ""
             batch_size: int = 100
             concurrency: int = 10
             pinecone.init(api_key=api_key, environment=environment)
             ds._upsert_to_index(self.index_name, namespace, batch_size, concurrency)
-        logging.info('Done')
+            time.sleep(5)  # wait for pinecone to finalize upserting before querying
+        get_logger().info('Done')
 
 
 class IssueLevel(str, Enum):

pr_agent/tools/pr_update_changelog.py

@@ -1,5 +1,4 @@
 import copy
-import logging
 from datetime import date
 from time import sleep
 from typing import Tuple
@@ -10,8 +9,9 @@ from pr_agent.algo.ai_handler import AiHandler
 from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
 from pr_agent.algo.token_handler import TokenHandler
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers import GithubProvider, get_git_provider
+from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import get_main_pr_language
+from pr_agent.log import get_logger
 
 CHANGELOG_LINES = 50
 
@@ -48,26 +48,26 @@ class PRUpdateChangelog:
     async def run(self):
         # assert type(self.git_provider) == GithubProvider, "Currently only Github is supported"
 
-        logging.info('Updating the changelog...')
+        get_logger().info('Updating the changelog...')
         if get_settings().config.publish_output:
             self.git_provider.publish_comment("Preparing changelog updates...", is_temporary=True)
         await retry_with_fallback_models(self._prepare_prediction)
-        logging.info('Preparing PR changelog updates...')
+        get_logger().info('Preparing PR changelog updates...')
         new_file_content, answer = self._prepare_changelog_update()
         if get_settings().config.publish_output:
             self.git_provider.remove_initial_comment()
-            logging.info('Publishing changelog updates...')
+            get_logger().info('Publishing changelog updates...')
             if self.commit_changelog:
-                logging.info('Pushing PR changelog updates to repo...')
+                get_logger().info('Pushing PR changelog updates to repo...')
                 self._push_changelog_update(new_file_content, answer)
             else:
-                logging.info('Publishing PR changelog as comment...')
+                get_logger().info('Publishing PR changelog as comment...')
                 self.git_provider.publish_comment(f"**Changelog updates:**\n\n{answer}")
 
     async def _prepare_prediction(self, model: str):
-        logging.info('Getting PR diff...')
+        get_logger().info('Getting PR diff...')
         self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
-        logging.info('Getting AI prediction...')
+        get_logger().info('Getting AI prediction...')
         self.prediction = await self._get_prediction(model)
 
     async def _get_prediction(self, model: str):
@@ -77,8 +77,8 @@ class PRUpdateChangelog:
         system_prompt = environment.from_string(get_settings().pr_update_changelog_prompt.system).render(variables)
         user_prompt = environment.from_string(get_settings().pr_update_changelog_prompt.user).render(variables)
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            get_logger().info(f"\nSystem prompt:\n{system_prompt}")
-            logging.info(f"\nUser prompt:\n{user_prompt}")
+            get_logger().info(f"\nUser prompt:\n{user_prompt}")
         response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
                                                                         system=system_prompt, user=user_prompt)
 
@@ -100,7 +100,7 @@ class PRUpdateChangelog:
                       "\n>'/update_changelog --pr_update_changelog.push_changelog_changes=true'\n"
 
         if get_settings().config.verbosity_level >= 2:
-            logging.info(f"answer:\n{answer}")
+            get_logger().info(f"answer:\n{answer}")
 
         return new_file_content, answer
 
@@ -149,7 +149,7 @@ Example:
         except Exception:
             self.changelog_file_str = ""
             if self.commit_changelog:
-                logging.info("No CHANGELOG.md file found in the repository. Creating one...")
+                get_logger().info("No CHANGELOG.md file found in the repository. Creating one...")
                 changelog_file = self.git_provider.repo_obj.create_file(path="CHANGELOG.md",
                                                                              message='add CHANGELOG.md',
                                                                              content="",

requirements.txt

@@ -13,11 +13,13 @@ atlassian-python-api==3.39.0
 GitPython==3.1.32
 PyYAML==6.0
 starlette-context==0.3.6
-litellm~=0.1.574
+litellm==0.12.5
 boto3==1.28.25
 google-cloud-storage==2.10.0
 ujson==5.8.0
 azure-devops==7.1.0b3
 msrest==0.7.1
 pinecone-client
-pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main
+pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main
+loguru==0.7.2
+google-cloud-aiplatform==1.35.0

tests/unittest/test_handle_patch_deletions.py

@@ -43,18 +43,6 @@ class TestHandlePatchDeletions:
         assert handle_patch_deletions(patch, original_file_content_str, new_file_content_str,
                                       file_name) == patch.rstrip()
 
-    # Tests that handle_patch_deletions logs a message when verbosity_level is greater than 0
-    def test_handle_patch_deletions_happy_path_verbosity_level_greater_than_0(self, caplog):
-        patch = '--- a/file.py\n+++ b/file.py\n@@ -1,2 +1,2 @@\n-foo\n-bar\n+baz\n'
-        original_file_content_str = 'foo\nbar\n'
-        new_file_content_str = ''
-        file_name = 'file.py'
-        get_settings().config.verbosity_level = 1
-
-        with caplog.at_level(logging.INFO):
-            handle_patch_deletions(patch, original_file_content_str, new_file_content_str, file_name)
-            assert any("Processing file" in message for message in caplog.messages)
-
     # Tests that handle_patch_deletions returns 'File was deleted' when new_file_content_str is empty
     def test_handle_patch_deletions_edge_case_new_file_content_empty(self):
         patch = '--- a/file.py\n+++ b/file.py\n@@ -1,2 +1,2 @@\n-foo\n-bar\n'

tests/unittest/try_fix_yaml.py

@@ -0,0 +1,31 @@
+
+# Generated by CodiumAI
+from pr_agent.algo.utils import try_fix_yaml
+
+
+import pytest
+
+class TestTryFixYaml:
+
+    # The function successfully parses a valid YAML string.
+    def test_valid_yaml(self):
+        review_text = "key: value\n"
+        expected_output = {"key": "value"}
+        assert try_fix_yaml(review_text) == expected_output
+
+    # The function adds '|-' to 'relevant line:' if it is not already present and successfully parses the YAML string.
+    def test_add_relevant_line(self):
+        review_text = "relevant line: value: 3\n"
+        expected_output = {"relevant line": "value: 3"}
+        assert try_fix_yaml(review_text) == expected_output
+
+    # The function removes the last line(s) of the YAML string and successfully parses the YAML string.
+    def test_remove_last_line(self):
+        review_text = "key: value\nextra invalid line\n"
+        expected_output = {"key": "value"}
+        assert try_fix_yaml(review_text) == expected_output
+
+    # The YAML string is empty.
+    def test_empty_yaml_fixed(self):
+        review_text = ""
+        assert try_fix_yaml(review_text) is None