Merge branch 'main' into hl/gitlab_code_suggestion

pr_information_from_user_prompts

INSTALL.md

@@ -0,0 +1,180 @@
+
+## Installation
+
+---
+
+#### Method 1: 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:
+
+1. To request a review for 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> review
+```
+
+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>"
+```
+
+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 as a GitHub Action
+
+You can use our pre-built Github Action Docker image to run PR-Agent as a Github Action. 
+
+1. Add the following file to your repository under `.github/workflows/pr_agent.yml`:
+
+```yaml
+on:
+  pull_request:
+  issue_comment:
+jobs:
+  pr_agent_job:
+    runs-on: ubuntu-latest
+    name: Run pr agent on every pull request, respond to user comments
+    steps:
+      - name: PR Agent action step
+        id: pragent
+        uses: Codium-ai/pr-agent@main
+        env:
+          OPENAI_KEY: ${{ secrets.OPENAI_KEY }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+```
+
+2. Add the following secret to your repository under `Settings > Secrets`:
+
+```
+OPENAI_KEY: <your key>
+```
+
+The GITHUB_TOKEN secret is automatically created by GitHub.
+
+3. Merge this change to your main branch. 
+When you open your next PR, you should see a comment from `github-actions` bot with a review of your PR, and instructions on how to use the rest of the tools.
+
+4. You may configure PR-Agent by adding environment variables under the env section corresponding to any configurable property in the [configuration](./CONFIGURATION.md) file. Some examples:
+```yaml
+      env:
+        # ... previous environment values
+        OPENAI.ORG: "<Your organization name under your OpenAI account>"
+        PR_REVIEWER.REQUIRE_TESTS_REVIEW: "false" # Disable tests review
+        PR_CODE_SUGGESTIONS.NUM_CODE_SUGGESTIONS: 6 # Increase number of code suggestions
+```
+
+---
+
+#### Method 3: Run from source
+
+1. Clone this repository:
+
+```
+git clone https://github.com/Codium-ai/pr-agent.git
+```
+
+2. Install the requirements in your favorite virtual environment:
+
+```
+pip install -r requirements.txt
+```
+
+3. Copy the secrets template file and fill in your OpenAI key and your GitHub user token:
+
+```
+cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
+# Edit .secrets.toml file
+```
+
+4. Run the appropriate Python scripts from the scripts folder:
+
+```
+python pr_agent/cli.py --pr_url <pr_url> review
+python pr_agent/cli.py --pr_url <pr_url> ask <your question>
+python pr_agent/cli.py --pr_url <pr_url> describe
+python pr_agent/cli.py --pr_url <pr_url> improve
+```
+
+---
+
+#### Method 4: Run as a polling server
+Request reviews by tagging your Github user on a PR
+
+Follow steps 1-3 of method 2.
+Run the following command to start the server:
+
+```
+python pr_agent/servers/github_polling.py
+```
+
+---
+
+#### Method 5: 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).
+
+   - Set the following permissions:
+     - Pull requests: Read & write
+     - Issue comment: Read & write
+     - Metadata: Read-only
+   - Set the following events:
+     - Issue comment
+     - Pull request
+
+2. Generate a random secret for your app, and save it for later. For example, you can use:
+
+```
+WEBHOOK_SECRET=$(python -c "import secrets; print(secrets.token_hex(10))")
+```
+
+3. Acquire the following pieces of information from your app's settings page:
+
+   - App private key (click "Generate a private key" and save the file)
+   - App ID
+
+4. Clone this repository:
+
+```
+git clone https://github.com/Codium-ai/pr-agent.git
+```
+
+5. Copy the secrets template file and fill in the following:
+   - Your OpenAI key.
+   - Set deployment_type to 'app'
+   - Copy your app's private key to the private_key field.
+   - Copy your app's ID to the app_id field.
+   - Copy your app's webhook secret to the webhook_secret field.
+
+```
+cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
+# Edit .secrets.toml file
+```
+
+6. Build a Docker image for the app and optionally push it to a Docker repository. We'll use Dockerhub as an example:
+
+```
+docker build . -t codiumai/pr-agent:github_app --target github_app -f docker/Dockerfile
+docker push codiumai/pr-agent:github_app  # Push to your Docker repository
+```
+
+7. Host the app using a server, serverless function, or container environment. Alternatively, for development and
+   debugging, you may use tools like smee.io to forward webhooks to your local machine.
+
+8. Go back to your app's settings, and set the following:
+
+   - Webhook URL: The URL of your app's server or the URL of the smee.io channel.
+   - Webhook secret: The secret you generated earlier.
+
+9. Install the app by navigating to the "Install App" tab and selecting your desired repositories.
+
+---

README.md

@@ -16,20 +16,36 @@ CodiumAI `PR-Agent` is an open-source tool aiming to help developers review PRs
 
 **Auto-Description**: Automatically generating PR description - name, type, summary, and code walkthrough.
 \
-**PR Review**: Feedback about the PR main theme, type, relevant tests, security issues, focused, and various suggestions for the PR content.
+**PR Review**: Feedback about the PR main theme, type, relevant tests, security issues, focused PR, and various suggestions for the PR content.
 \
 **Question Answering**: Answering free-text questions about the PR.
 \
 **Code Suggestion**: Committable code suggestions for improving the PR.
 
-Example results:
+<h3>Example results:</h2>
 </div>
+<h4>Describe:</h4>
 <div align="center">
 <p float="center">
-<img src="./pics/pr_reviewer_1.png" width="800">
+<img src="./pics/describe.gif" width="800">
 </p>
+</div>
+<h4>Review:</h4>
+<div align="center">
 <p float="center">
-<img src="./pics/pr_code_suggestions.png" width="800">
+<img src="./pics/review.gif" width="800">
+</p>
+</div>
+<h4>Ask:</h4>
+<div align="center">
+<p float="center">
+<img src="./pics/ask.gif" width="800">
+</p>
+</div>
+<h4>Improve:</h4>
+<div align="center">
+<p float="center">
+<img src="./pics/improve.gif" width="800">
 </p>
 </div>
 <div align="left">
@@ -46,9 +62,9 @@ Example results:
 
 ## Live demo
 
-Experience GPT-4 powered PR review on your public GitHub repository with our hosted PR-Agent. To try it, just mention `@CodiumAI-Agent` in any PR comment! The agent will generate a PR review in response.
+Experience GPT-4 powered PR review on your public GitHub repository with our hosted PR-Agent. To try it, just mention `@CodiumAI-Agent` and add the desired command in any PR comment! The agent will generate a response based on your command.
 
-![Review generation process](./pics/pr-agent-review-process1.gif)
+![Review generation process](./pics/demo.gif)
 
 To set up your own PR-Agent, see the [Quickstart](#Quickstart) section
 
@@ -61,7 +77,7 @@ To set up your own PR-Agent, see the [Quickstart](#Quickstart) section
 |       | ⮑ Inline review                             | ✓     | ✓      |           |
 |       | Ask                                         | ✓      | ✓      |           |
 |       | Auto-Description                            | ✓      |        |           |
-|       | Improve Code                                | ✓      |        |           |
+|       | Improve Code                                | ✓      | ✓      |           |
 |       |                                             |        |        |           |
 | USAGE | CLI                                         | ✓      | ✓      | ✓         |
 |       | Tagging bot                                 | ✓      | ✓      |           |
@@ -90,190 +106,26 @@ To get started with PR-Agent quickly, you first need to acquire two tokens:
 
 There are several ways to use PR-Agent. Let's start with the simplest one:
 
----
 
-#### Method 1: Use Docker image (no installation required)
+## Install
+Here are several ways to install and run PR-Agent:
 
-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:
-
-1. To request a review for 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> review
-```
-
-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>"
-```
-
-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 as a Github Action
-
-You can use our pre-built Github Action Docker image to run PR-Agent as a Github Action. 
-
-1. Add the following file to your repository under `.github/workflows/pr_agent.yml`:
-
-```yaml
-on:
-  pull_request:
-  issue_comment:
-jobs:
-  pr_agent_job:
-    runs-on: ubuntu-latest
-    name: Run pr agent on every pull request, respond to user comments
-    steps:
-      - name: PR Agent action step
-        id: pragent
-        uses: Codium-ai/pr-agent@main
-        env:
-          OPENAI_KEY: ${{ secrets.OPENAI_KEY }}
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-```
-
-2. Add the following secret to your repository under `Settings > Secrets`:
-
-```
-OPENAI_KEY: <your key>
-```
-
-The GITHUB_TOKEN secret is automatically created by Github.
-
-3. Merge this change to your main branch. 
-When you open your next PR, you should see a comment from `github-actions` bot with a review of your PR, and instructions on how to use the rest of the tools.
-
-4. You may configure PR-Agent by adding environment variables under the env section that corresponds to any configurable property in the [configuration](./CONFIGURATION.md) file. Some examples:
-```yaml
-      env:
-        # ... previous environment values
-        OPENAI.ORG: "<Your organization name under your OpenAI account>"
-        PR_REVIEWER.REQUIRE_TESTS_REVIEW: "false" # Disable tests review
-        PR_CODE_SUGGESTIONS.NUM_CODE_SUGGESTIONS: 6 # Increase number of code suggestions
-```
-
----
-
-#### Method 3: Run from source
-
-1. Clone this repository:
-
-```
-git clone https://github.com/Codium-ai/pr-agent.git
-```
-
-2. Install the requirements in your favorite virtual environment:
-
-```
-pip install -r requirements.txt
-```
-
-3. Copy the secrets template file and fill in your OpenAI key and your GitHub user token:
-
-```
-cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
-# Edit .secrets.toml file
-```
-
-4. Run the appropriate Python scripts from the scripts folder:
-
-```
-python pr_agent/cli.py --pr_url <pr_url> review
-python pr_agent/cli.py --pr_url <pr_url> ask <your question>
-python pr_agent/cli.py --pr_url <pr_url> describe
-python pr_agent/cli.py --pr_url <pr_url> improve
-```
-
----
-
-#### Method 4: Run as a polling server; request reviews by tagging your Github user on a PR
-
-Follow steps 1-3 of method 2.
-Run the following command to start the server:
-
-```
-python pr_agent/servers/github_polling.py
-```
-
----
-
-#### Method 5: 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).
-
-   - Set the following permissions:
-     - Pull requests: Read & write
-     - Issue comment: Read & write
-     - Metadata: Read-only
-   - Set the following events:
-     - Issue comment
-     - Pull request
-
-2. Generate a random secret for your app, and save it for later. For example, you can use:
-
-```
-WEBHOOK_SECRET=$(python -c "import secrets; print(secrets.token_hex(10))")
-```
-
-3. Acquire the following pieces of information from your app's settings page:
-
-   - App private key (click "Generate a private key", and save the file)
-   - App ID
-
-4. Clone this repository:
-
-```
-git clone https://github.com/Codium-ai/pr-agent.git
-```
-
-5. Copy the secrets template file and fill in the following:
-   - Your OpenAI key.
-   - Set deployment_type to 'app'
-   - Copy your app's private key to the private_key field.
-   - Copy your app's ID to the app_id field.
-   - Copy your app's webhook secret to the webhook_secret field.
-
-```
-cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
-# Edit .secrets.toml file
-```
-
-6. Build a Docker image for the app and optionally push it to a Docker repository. We'll use Dockerhub as an example:
-
-```
-docker build . -t codiumai/pr-agent:github_app --target github_app -f docker/Dockerfile
-docker push codiumai/pr-agent:github_app  # Push to your Docker repository
-```
-
-7. Host the app using a server, serverless function, or container environment. Alternatively, for development and
-   debugging, you may use tools like smee.io to forward webhooks to your local machine.
-
-8. Go back to your app's settings, set the following:
-
-   - Webhook URL: The URL of your app's server, or the URL of the smee.io channel.
-   - Webhook secret: The secret you generated earlier.
-
-9. Install the app by navigating to the "Install App" tab, and selecting your desired repositories.
-
----
+- [Method 1: Use Docker image (no installation required)](INSTALL.md#method-1-use-docker-image-no-installation-required)
+- [Method 2: Run as a Github Action](INSTALL.md#method-2-run-as-a-github-action)
+- [Method 3: Run from source](INSTALL.md#method-3-run-from-source)
+- [Method 4: Run as a polling server](INSTALL.md#method-4-run-as-a-polling-server)
+  - Request reviews by tagging your Github user on a PR
+- [Method 5: Run as a Github App](INSTALL.md#method-5-run-as-a-github-app)
+  - Allowing you to automate the review process on your private or public repositories
 
 ## Usage and Tools
 
 **PR-Agent** provides four types of interactions ("tools"): `"PR Reviewer"`, `"PR Q&A"`, `"PR Description"` and `"PR Code Sueggestions"`.
 
-- The "PR Reviewer" tool automatically analyzes PRs, and provides different types of feedbacks.
+- The "PR Reviewer" tool automatically analyzes PRs, and provides different types of feedback.
 - The "PR Ask" tool answers free-text questions about the PR.
 - The "PR Description" tool automatically sets the PR Title and body.
-- The "PR Code Suggestion" tool provide inline code suggestions for the PR, that can be applied and committed.
+- The "PR Code Suggestion" tool provide inline code suggestions for the PR that can be applied and committed.
 
 ## How it works
 

pr_agent/algo/utils.py

@@ -61,18 +61,24 @@ def parse_code_suggestion(code_suggestions: dict) -> str:
     return markdown_text
 
 
-def try_fix_json(review, max_iter=10):
+def try_fix_json(review, max_iter=10, code_suggestions=False):
+    if review.endswith("}"):
+        return fix_json_escape_char(review)
     # Try to fix JSON if it is broken/incomplete: parse until the last valid code suggestion
     data = {}
+    if code_suggestions:
+        closing_bracket = "]}"
+    else:
+        closing_bracket = "]}}"
     if review.rfind("'Code suggestions': [") > 0 or review.rfind('"Code suggestions": [') > 0:
         last_code_suggestion_ind = [m.end() for m in re.finditer(r"\}\s*,", review)][-1] - 1
         valid_json = False
         iter_count = 0
         while last_code_suggestion_ind > 0 and not valid_json and iter_count < max_iter:
             try:
-                data = json.loads(review[:last_code_suggestion_ind] + "]}}")
+                data = json.loads(review[:last_code_suggestion_ind] + closing_bracket)
                 valid_json = True
-                review = review[:last_code_suggestion_ind].strip() + "]}}"
+                review = review[:last_code_suggestion_ind].strip() + closing_bracket
             except json.decoder.JSONDecodeError:
                 review = review[:last_code_suggestion_ind]
                 # Use regular expression to find the last occurrence of "}," with any number of whitespaces or newlines
@@ -82,3 +88,17 @@ def try_fix_json(review, max_iter=10):
             logging.error("Unable to decode JSON response from AI")
             data = {}
     return data
+
+def fix_json_escape_char(json_message=None):
+    result = None
+    try:
+        result = json.loads(json_message)
+    except Exception as e:
+        # Find the offending character index:
+        idx_to_replace = int(str(e).split(' ')[-1].replace(')', ''))
+        # Remove the offending character:
+        json_message = list(json_message)
+        json_message[idx_to_replace] = ' '
+        new_message = ''.join(json_message)
+        return fix_JSON(json_message=new_message)
+    return result

pr_agent/cli.py

@@ -5,6 +5,7 @@ import os
 
 from pr_agent.tools.pr_code_suggestions import PRCodeSuggestions
 from pr_agent.tools.pr_description import PRDescription
+from pr_agent.tools.pr_information_from_user import PRInformationFromUser
 from pr_agent.tools.pr_questions import PRQuestions
 from pr_agent.tools.pr_reviewer import PRReviewer
 
@@ -28,7 +29,8 @@ improve / improve_code - Suggest improvements to the code in the PR as pull requ
     parser.add_argument('command', type=str, help='The', choices=['review', 'review_pr',
                                                                   'ask', 'ask_question',
                                                                   'describe', 'describe_pr',
-                                                                  'improve', 'improve_code'], default='review')
+                                                                  'improve', 'improve_code',
+                                                                  'user_questions'], default='review')
     parser.add_argument('rest', nargs=argparse.REMAINDER, default=[])
     args = parser.parse_args()
     logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO"))
@@ -54,6 +56,10 @@ improve / improve_code - Suggest improvements to the code in the PR as pull requ
         print(f"Reviewing PR: {args.pr_url}")
         reviewer = PRReviewer(args.pr_url, cli_mode=True)
         asyncio.run(reviewer.review())
+    elif command in ['user_questions']:
+        print(f"Asking the PR author questions: {args.pr_url}")
+        reviewer = PRInformationFromUser(args.pr_url)
+        asyncio.run(reviewer.generate_questions())
     else:
         print(f"Unknown command: {command}")
         parser.print_help()

pr_agent/config_loader.py

@@ -13,6 +13,7 @@ settings = Dynaconf(
          "settings/pr_questions_prompts.toml",
          "settings/pr_description_prompts.toml",
          "settings/pr_code_suggestions_prompts.toml",
+         "settings/pr_information_from_user_prompts.toml",
          "settings_prod/.secrets.toml"
         ]]
 )

pr_agent/git_providers/bitbucket_provider.py

@@ -61,9 +61,6 @@ class BitbucketProvider:
     def get_title(self):
         return self.pr.title
 
-    def get_description(self):
-        return self.pr.body
-
     def get_languages(self):
         languages = {self._get_repo().get_data('language'): 0}
         return languages

pr_agent/git_providers/github_provider.py

@@ -134,9 +134,6 @@ class GithubProvider(GitProvider):
     def get_title(self):
         return self.pr.title
 
-    def get_description(self):
-        return self.pr.body
-
     def get_languages(self):
         languages = self._get_repo().get_languages()
         return languages

pr_agent/git_providers/gitlab_provider.py

@@ -28,6 +28,8 @@ class GitLabProvider(GitProvider):
         self.diff_files = None
         self.temp_comments = []
         self._set_merge_request(merge_request_url)
+        self.RE_HUNK_HEADER = re.compile(
+            r"^@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))? @@[ ]?(.*)")
 
     @property
     def pr(self):
@@ -84,25 +86,26 @@ class GitLabProvider(GitProvider):
         self.diff_files = self.diff_files if self.diff_files else self.get_diff_files()
         edit_type, found, source_line_no, target_file, target_line_no = self.search_line(relevant_file,
                                                                                          relevant_line_in_file)
+        self.send_inline_comment(body, edit_type, found, relevant_file, relevant_line_in_file, source_line_no,
+                                 target_file, target_line_no)
+
+    def send_inline_comment(self, body, edit_type, found, relevant_file, relevant_line_in_file, source_line_no,
+                            target_file, target_line_no):
         if not found:
             logging.info(f"Could not find position for {relevant_file} {relevant_line_in_file}")
         else:
-            if edit_type == 'addition':
-                position = target_line_no - 1
-            else:
-                position = source_line_no - 1
             d = self.last_diff
             pos_obj = {'position_type': 'text',
                        'new_path': target_file.filename,
                        'old_path': target_file.old_filename if target_file.old_filename else target_file.filename,
                        'base_sha': d.base_commit_sha, 'start_sha': d.start_commit_sha, 'head_sha': d.head_commit_sha}
             if edit_type == 'deletion':
-                pos_obj['old_line'] = position
+                pos_obj['old_line'] = source_line_no - 1
             elif edit_type == 'addition':
-                pos_obj['new_line'] = position
+                pos_obj['new_line'] = target_line_no - 1
             else:
-                pos_obj['new_line'] = position
-                pos_obj['old_line'] = position
+                pos_obj['new_line'] = target_line_no - 1
+                pos_obj['old_line'] = source_line_no - 1
             self.mr.discussions.create({'body': body,
                                         'position': pos_obj})
 
@@ -110,24 +113,58 @@ class GitLabProvider(GitProvider):
                                 relevant_file: str,
                                 relevant_lines_start: int,
                                 relevant_lines_end: int):
-        raise "not implemented yet for gitlab"
+        self.diff_files = self.diff_files if self.diff_files else self.get_diff_files()
+        target_file = None
+        for file in self.diff_files:
+            if file.filename == relevant_file:
+                if file.filename == relevant_file:
+                    target_file = file
+                    break
+        range = relevant_lines_end - relevant_lines_start + 1
+        body = body.replace('```suggestion', f'```suggestion:-0+{range}')
+
+        d = self.last_diff
+        #
+        # pos_obj = {'position_type': 'text',
+        #            'new_path': target_file.filename,
+        #            'old_path': target_file.old_filename if target_file.old_filename else target_file.filename,
+        #            'base_sha': d.base_commit_sha, 'start_sha': d.start_commit_sha, 'head_sha': d.head_commit_sha}
+        lines = target_file.head_file.splitlines()
+        relevant_line_in_file = lines[relevant_lines_start - 1]
+        edit_type, found, source_line_no, target_file, target_line_no = self.find_in_file(target_file, relevant_line_in_file)
+        self.send_inline_comment(body, edit_type, found, relevant_file, relevant_line_in_file, source_line_no,
+                                 target_file, target_line_no)
+        # if lines[relevant_lines_start][0] == '-':
+        #     pos_obj['old_line'] = relevant_lines_start
+        # elif lines[relevant_lines_start][0] == '+':
+        #     pos_obj['new_line'] = relevant_lines_start
+        # else:
+        #     pos_obj['new_line'] = relevant_lines_start
+        #     pos_obj['old_line'] = relevant_lines_start
+        # self.mr.discussions.create({'body': body,
+        #                             'position': pos_obj})
 
     def search_line(self, relevant_file, relevant_line_in_file):
-        RE_HUNK_HEADER = re.compile(
-            r"^@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))? @@[ ]?(.*)")
         target_file = None
-        source_line_no = 0
-        target_line_no = 0
-        found = False
+
         edit_type = self.get_edit_type(relevant_line_in_file)
         for file in self.diff_files:
             if file.filename == relevant_file:
+                edit_type, found, source_line_no, target_file, target_line_no = self.find_in_file(file,
+                                                                                                  relevant_line_in_file)
+        return edit_type, found, source_line_no, target_file, target_line_no
+
+    def find_in_file(self, file, relevant_line_in_file):
+        edit_type = 'context'
+        source_line_no = 0
+        target_line_no = 0
+        found = False
         target_file = file
         patch = file.patch
         patch_lines = patch.splitlines()
         for i, line in enumerate(patch_lines):
             if line.startswith('@@'):
-                        match = RE_HUNK_HEADER.match(line)
+                match = self.RE_HUNK_HEADER.match(line)
                 if not match:
                     continue
                 start_old, size_old, start_new, size_new, _ = match.groups()
@@ -171,9 +208,6 @@ class GitLabProvider(GitProvider):
     def get_title(self):
         return self.mr.title
 
-    def get_description(self):
-        return self.mr.description
-
     def get_languages(self):
         languages = self.gl.projects.get(self.id_project).languages()
         return languages

pr_agent/servers/github_polling.py

@@ -94,7 +94,7 @@ async def polling_loop():
                                             success = await agent.handle_request(pr_url, rest_of_comment)
                                             if not success:
                                                 git_provider.set_pr(pr_url)
-                                                git_provider.publish_comment("### How to user PR-Agent\n" +
+                                                git_provider.publish_comment("### How to use PR-Agent\n" +
                                                                              bot_help_text(user_id))
 
                     elif response.status != 304:

pr_agent/settings/configuration.toml

@@ -2,7 +2,7 @@
 model="gpt-4-0613"
 git_provider="github"
 publish_review=true
-verbosity_level=0 # 0,1,2
+verbosity_level=2 # 0,1,2
 
 [pr_reviewer]
 require_focused_review=true

pr_agent/settings/pr_information_from_user_prompts.toml

@@ -0,0 +1,33 @@
+[pr_information_from_user_prompt]
+system="""You are CodiumAI-PR-Reviewer, a language model designed to review git pull requests.
+Given the PR Info and the PR Git Diff, generate 4 questions about the PR for the PR author.
+The goal of the questions is to help the language model understand the PR better, so the questions should be insightful, informative, non-trivial, and relevant to the PR.
+Prefer yes\\no or multiple choice questions. If you have to ask open-ended questions, make sure they are not too difficult, and can be answered in a sentence or two.
+
+
+Example output:
+'
+Questions to better understand the PR:
+1. ...
+2. ...
+...
+"""
+
+user="""PR Info:
+Title: '{{title}}'
+Branch: '{{branch}}'
+Description: '{{description}}'
+{%- if language %}
+Main language: {{language}}
+{%- 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:
+"""

pr_agent/tools/pr_code_suggestions.py

@@ -10,7 +10,7 @@ from pr_agent.algo.pr_processing import get_pr_diff
 from pr_agent.algo.token_handler import TokenHandler
 from pr_agent.algo.utils import convert_to_markdown, try_fix_json
 from pr_agent.config_loader import settings
-from pr_agent.git_providers import get_git_provider, GithubProvider
+from pr_agent.git_providers import get_git_provider, BitbucketProvider
 from pr_agent.git_providers.git_provider import get_main_pr_language
 
 
@@ -39,7 +39,7 @@ class PRCodeSuggestions:
                                           settings.pr_code_suggestions_prompt.user)
 
     async def suggest(self):
-        assert type(self.git_provider) == GithubProvider, "Only Github is supported for now"
+        assert type(self.git_provider) != BitbucketProvider, "Bitbucket is not supported for now"
 
         logging.info('Generating code suggestions for PR...')
         if settings.config.publish_review:
@@ -86,7 +86,7 @@ class PRCodeSuggestions:
         except json.decoder.JSONDecodeError:
             if settings.config.verbosity_level >= 2:
                 logging.info(f"Could not parse json response: {review}")
-            data = try_fix_json(review)
+            data = try_fix_json(review, code_suggestions=True)
         return data
 
     def push_inline_code_suggestions(self, data):

pr_agent/tools/pr_description.py

@@ -23,7 +23,7 @@ class PRDescription:
         self.vars = {
             "title": self.git_provider.pr.title,
             "branch": self.git_provider.get_pr_branch(),
-            "description": self.git_provider.get_description(),
+            "description": self.git_provider.get_pr_description(),
             "language": self.main_pr_language,
             "diff": "",  # empty diff for initial calculation
         }

pr_agent/tools/pr_information_from_user.py

@@ -0,0 +1,71 @@
+import copy
+import logging
+
+from jinja2 import Environment, StrictUndefined
+
+from pr_agent.algo.ai_handler import AiHandler
+from pr_agent.algo.pr_processing import get_pr_diff
+from pr_agent.algo.token_handler import TokenHandler
+from pr_agent.config_loader import settings
+from pr_agent.git_providers import get_git_provider
+from pr_agent.git_providers.git_provider import get_main_pr_language
+
+
+class PRInformationFromUser:
+    def __init__(self, pr_url: str):
+        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.ai_handler = AiHandler()
+        self.vars = {
+            "title": self.git_provider.pr.title,
+            "branch": self.git_provider.get_pr_branch(),
+            "description": self.git_provider.get_description(),
+            "language": self.main_pr_language,
+            "diff": "",  # empty diff for initial calculation
+        }
+        self.token_handler = TokenHandler(self.git_provider.pr,
+                                          self.vars,
+                                          settings.pr_information_from_user_prompt.system,
+                                          settings.pr_information_from_user_prompt.user)
+        self.patches_diff = None
+        self.prediction = None
+
+    async def generate_questions(self):
+        logging.info('Generating question to the user...')
+        if settings.config.publish_review:
+            self.git_provider.publish_comment("Preparing answer...", is_temporary=True)
+        logging.info('Getting PR diff...')
+        self.patches_diff = get_pr_diff(self.git_provider, self.token_handler)
+        logging.info('Getting AI prediction...')
+        self.prediction = await self._get_prediction()
+        logging.info('Preparing questions...')
+        pr_comment = self._prepare_pr_answer()
+        if settings.config.publish_review:
+            logging.info('Pushing questions...')
+            self.git_provider.publish_comment(pr_comment)
+            self.git_provider.remove_initial_comment()
+        return ""
+
+    async def _get_prediction(self):
+        variables = copy.deepcopy(self.vars)
+        variables["diff"] = self.patches_diff  # update diff
+        environment = Environment(undefined=StrictUndefined)
+        system_prompt = environment.from_string(settings.pr_information_from_user_prompt.system).render(variables)
+        user_prompt = environment.from_string(settings.pr_information_from_user_prompt.user).render(variables)
+        if settings.config.verbosity_level >= 2:
+            logging.info(f"\nSystem prompt:\n{system_prompt}")
+            logging.info(f"\nUser prompt:\n{user_prompt}")
+        model = settings.config.model
+        response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
+                                                                        system=system_prompt, user=user_prompt)
+        return response
+
+    def _prepare_pr_answer(self) -> str:
+        model_output = self.prediction.strip()
+        if settings.config.verbosity_level >= 2:
+            logging.info(f"answer_str:\n{model_output}")
+        answer_str = f"{model_output}\n\n Please respond to the question above in the following format:\n\n" + \
+                     f"/answer <question_id> <answer>\n\n" + f"Example:\n'\n/answer\n1. Yes, because ...\n2. No, because ...\n'"
+        return answer_str

pr_agent/tools/pr_questions.py

@@ -22,7 +22,7 @@ class PRQuestions:
         self.vars = {
             "title": self.git_provider.pr.title,
             "branch": self.git_provider.get_pr_branch(),
-            "description": self.git_provider.get_description(),
+            "description": self.git_provider.get_pr_description(),
             "language": self.main_pr_language,
             "diff": "",  # empty diff for initial calculation
             "questions": self.question_str,