docs: improve formatting and readability of documentation

This commit is contained in:
ofir-frd
2025-02-21 10:38:18 +02:00
parent 1e98d27ab4
commit b2d8dee00a
13 changed files with 48 additions and 52 deletions

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@ -14,6 +14,5 @@ An example result:
![Analyze 1](https://codium.ai/images/pr_agent/analyze_1.png){width=750}
**Notes**
- Language that are currently supported: Python, Java, C++, JavaScript, TypeScript, C#.
!!! note "Language that are currently supported:"
Python, Java, C++, JavaScript, TypeScript, C#.

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@ -38,20 +38,20 @@ where `https://real_link_to_image` is the direct link to the image.
Note that GitHub has a built-in mechanism of pasting images in comments. However, pasted image does not provide a direct link.
To get a direct link to an image, we recommend using the following scheme:
1) First, post a comment that contains **only** the image:
1\. First, post a comment that contains **only** the image:
![Ask image1](https://codium.ai/images/pr_agent/ask_images1.png){width=512}
2) Quote reply to that comment:
2\. Quote reply to that comment:
![Ask image2](https://codium.ai/images/pr_agent/ask_images2.png){width=512}
3) In the screen opened, type the question below the image:
3\. In the screen opened, type the question below the image:
![Ask image3](https://codium.ai/images/pr_agent/ask_images3.png){width=512}
![Ask image4](https://codium.ai/images/pr_agent/ask_images4.png){width=512}
4) Post the comment, and receive the answer:
4\. Post the comment, and receive the answer:
![Ask image5](https://codium.ai/images/pr_agent/ask_images5.png){width=512}

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@ -51,8 +51,8 @@ Results obtained with the prompt above:
## Configuration options
`prompt`: the prompt for the tool. It should be a multi-line string.
- `prompt`: the prompt for the tool. It should be a multi-line string.
`num_code_suggestions_per_chunk`: number of code suggestions provided by the 'custom_prompt' tool, per chunk. Default is 4.
- `num_code_suggestions_per_chunk`: number of code suggestions provided by the 'custom_prompt' tool, per chunk. Default is 4.
`enable_help_text`: if set to true, the tool will display a help text in the comment. Default is true.
- `enable_help_text`: if set to true, the tool will display a help text in the comment. Default is true.

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@ -143,7 +143,7 @@ The marker `pr_agent:type` will be replaced with the PR type, `pr_agent:summary`
![Describe markers before](https://codium.ai/images/pr_agent/describe_markers_before.png){width=512}
→
becomes
![Describe markers after](https://codium.ai/images/pr_agent/describe_markers_after.png){width=512}

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@ -27,7 +27,6 @@ You can state a name of a specific component in the PR to get documentation only
- `docs_style`: The exact style of the documentation (for python docstring). you can choose between: `google`, `numpy`, `sphinx`, `restructuredtext`, `plain`. Default is `sphinx`.
- `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...".
**Notes**
- Language that are currently fully supported: Python, Java, C++, JavaScript, TypeScript, C#.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.
!!! notes "Notes"
- The following languages are currently supported: Python, Java, C++, JavaScript, TypeScript, C#.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.

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@ -10,8 +10,9 @@ It leverages LLM technology to transform PR comments and review suggestions into
### For Reviewers
Reviewers can request code changes by: <br>
1. Selecting the code block to be modified. <br>
Reviewers can request code changes by:
1. Selecting the code block to be modified.
2. Adding a comment with the syntax:
```
/implement <code-change-description>
@ -46,7 +47,8 @@ You can reference and implement changes from any comment by:
Note that the implementation will occur within the review discussion thread.
**Configuration options** <br>
**Configuration options**
- Use `/implement` to implement code change within and based on the review discussion. <br>
- Use `/implement <code-change-description>` inside a review discussion to implement specific instructions. <br>
- Use `/implement <link-to-review-comment>` to indirectly call the tool from any comment. <br>

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@ -9,9 +9,9 @@ The tool can be triggered automatically every time a new PR is [opened](../usage
![code_suggestions_as_comment_open.png](https://codium.ai/images/pr_agent/code_suggestions_as_comment_open.png){width=512}
Note that the following features are available only for Qodo Merge💎 users:
- The `Apply this suggestion` checkbox, which interactively converts a suggestion into a committable code comment
- The `More` checkbox to generate additional suggestions
!!! note "The following features are available only for Qodo Merge 💎 users:"
- The `Apply this suggestion` checkbox, which interactively converts a suggestion into a committable code comment
- The `More` checkbox to generate additional suggestions
## Example usage
@ -196,7 +196,7 @@ And the label will be: `{organization_name} best practice`.
>`Platforms supported: GitHub`
'Auto best practices' is a novel Qodo Merge capability that:
`Auto best practices` is a novel Qodo Merge capability that:
1. Identifies recurring patterns from accepted suggestions
2. **Automatically** generates [best practices page](https://github.com/qodo-ai/pr-agent/wiki/.pr_agent_auto_best_practices) based on what your team consistently values
@ -315,17 +315,13 @@ code_suggestions_self_review_text = "... (your text here) ..."
### How many code suggestions are generated?
Qodo Merge uses a dynamic strategy to generate code suggestions based on the size of the pull request (PR). Here's how it works:
1) Chunking large PRs:
#### 1. Chunking large PRs
- Qodo Merge divides large PRs into 'chunks'.
- Each chunk contains up to `pr_code_suggestions.max_context_tokens` tokens (default: 14,000).
2) Generating suggestions:
#### 2. Generating suggestions
- For each chunk, Qodo Merge generates up to `pr_code_suggestions.num_code_suggestions_per_chunk` suggestions (default: 4).
This approach has two main benefits:
- Scalability: The number of suggestions scales with the PR size, rather than being fixed.

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@ -18,9 +18,9 @@ The tool will generate code suggestions for the selected component (if no compon
![improve_component2](https://codium.ai/images/pr_agent/improve_component2.png){width=768}
**Notes**
- Language that are currently supported by the tool: Python, Java, C++, JavaScript, TypeScript, C#.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.
!!! note "Notes"
- Language that are currently supported by the tool: Python, Java, C++, JavaScript, TypeScript, C#.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.
## Configuration options
- `num_code_suggestions`: number of code suggestions to provide. Default is 4

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@ -16,14 +16,17 @@ It can be invoked manually by commenting on any PR:
Note that to perform retrieval, the `similar_issue` tool indexes all the repo previous issues (once).
### Selecting a Vector Database
Configure your preferred database by changing the `pr_similar_issue` parameter in `configuration.toml` file.
**Select VectorDBs** by changing `pr_similar_issue` parameter in `configuration.toml` file
#### Available Options
Choose from the following Vector Databases:
2 VectorDBs are available to switch in
1. LanceDB
2. Pinecone
To enable usage of the '**similar issue**' tool for Pinecone, you need to set the following keys in `.secrets.toml` (or in the relevant environment variables):
#### Pinecone Configuration
To use Pinecone with the `similar issue` tool, add these credentials to `.secrets.toml` (or set as environment variables):
```
[pinecone]

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@ -17,9 +17,9 @@ The tool will generate tests for the selected component (if no component is stat
(Example taken from [here](https://github.com/Codium-ai/pr-agent/pull/598#issuecomment-1913679429)):
**Notes** <br>
- The following languages are currently supported: Python, Java, C++, JavaScript, TypeScript, C#. <br>
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.
!!! notes "Notes"
- The following languages are currently supported: Python, Java, C++, JavaScript, TypeScript, C#.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.
## Configuration options