example best practice

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mrT23
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@ -26,7 +26,9 @@ jobs:
OPENAI_KEY: ${{ secrets.OPENAI_KEY }} OPENAI_KEY: ${{ secrets.OPENAI_KEY }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
``` ```
** if you want to pin your action to a specific release (v2.0 for example) for stability reasons, use:
if you want to pin your action to a specific release (v2.0 for example) for stability reasons, use:
```yaml ```yaml
... ...
steps: steps:
@ -35,6 +37,7 @@ jobs:
uses: Codium-ai/pr-agent@v2.0 uses: Codium-ai/pr-agent@v2.0
... ...
``` ```
2) Add the following secret to your repository under `Settings > Secrets and variables > Actions > New repository secret > Add secret`: 2) Add the following secret to your repository under `Settings > Secrets and variables > Actions > New repository secret > Add secret`:
``` ```

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@ -1,21 +1,28 @@
[PR-Agent Pro](https://www.codium.ai/pricing/) is a hosted version of PR-Agent, provided by CodiumAI. It is available for a monthly fee, and provides the following benefits: [PR-Agent Pro](https://www.codium.ai/pricing/) is a hosted version of PR-Agent, provided by CodiumAI. It is available for a monthly fee, and provides the following benefits:
1. **Fully managed** - We take care of everything for you - hosting, models, regular updates, and more. Installation is as simple as signing up and adding the PR-Agent app to your GitHub\GitLab\BitBucket repo. 1. **Fully managed** - We take care of everything for you - hosting, models, regular updates, and more. Installation is as simple as signing up and adding the PR-Agent app to your GitHub\GitLab\BitBucket repo.
2. **Improved privacy** - No data will be stored or used to train models. PR-Agent Pro will employ zero data retention, and will use an OpenAI account with zero data retention. 2. **Improved privacy** - No data will be stored or used to train models. PR-Agent Pro will employ zero data retention, and will use an OpenAI account with zero data retention.
3. **Improved support** - PR-Agent Pro users will receive priority support, and will be able to request new features and capabilities. 3. **Improved support** - PR-Agent Pro users will receive priority support, and will be able to request new features and capabilities.
4. **Extra features** -In addition to the benefits listed above, PR-Agent Pro will emphasize more customization, and the usage of static code analysis, in addition to LLM logic, to improve results. It has the following additional tools and features:
- (Tool): [**Analyze PR components**](./tools/analyze.md/) 4. **Additional tools**
- (Tool): [**Custom Prompt Suggestions**](./tools/custom_prompt.md/) - [**Analyze PR components**](./tools/analyze.md/)
- (Tool): [**Tests**](./tools/test.md/) - [**Custom Prompt Suggestions**](./tools/custom_prompt.md/)
- (Tool): [**PR documentation**](./tools/documentation.md/) - [**Tests**](./tools/test.md/)
- (Tool): [**Improve Component**](https://pr-agent-docs.codium.ai/tools/improve_component/) - [**PR documentation**](./tools/documentation.md/)
- (Tool): [**Similar code search**](https://pr-agent-docs.codium.ai/tools/similar_code/) - [**Improve Component**](https://pr-agent-docs.codium.ai/tools/improve_component/)
- (Tool): [**CI feedback**](./tools/ci_feedback.md/) - [**Similar code search**](https://pr-agent-docs.codium.ai/tools/similar_code/)
- (Feature): [**Interactive triggering**](./usage-guide/automations_and_usage.md/#interactive-triggering) - [**CI feedback**](./tools/ci_feedback.md/)
- (Feature): [**SOC2 compliance check**](./tools/review.md/#soc2-ticket-compliance)
- (Feature): [**Custom labels**](./tools/describe.md/#handle-custom-labels-from-the-repos-labels-page) 5. **Additional features**
- (Feature): [**Global and wiki configuration**](./usage-guide/configuration_options.md/#wiki-configuration-file) - [**Global and wiki configuration**](./usage-guide/configuration_options.md/#wiki-configuration-file)
- (Feature): [**Inline file summary**](https://pr-agent-docs.codium.ai/tools/describe/#inline-file-summary) - [**Interactive triggering**](./usage-guide/automations_and_usage.md/#interactive-triggering)
- (Feature): [**Apply suggestions**](https://pr-agent-docs.codium.ai/tools/improve/#example-usage) - [**Apply suggestions**](https://pr-agent-docs.codium.ai/tools/improve/#example-usage)
- (Feature): [**Advanced usage statistics**](https://www.codium.ai/contact/#/) - [**Advanced usage statistics**](https://www.codium.ai/contact/#/)
5. **Support self-hosted git servers** - PR-Agent Pro can be installed on GitHub Enterprise Server, GitLab, and BitBucket. For more information, see the [installation guide](https://pr-agent-docs.codium.ai/installation/pr_agent_pro/). - [**SOC2 compliance check**](./tools/review.md/#soc2-ticket-compliance)
- [**Custom labels**](./tools/describe.md/#handle-custom-labels-from-the-repos-labels-page)
- [**Inline file summary**](https://pr-agent-docs.codium.ai/tools/describe/#inline-file-summary)
- More ...
6. **Supporting self-hosted git servers** - PR-Agent Pro can be installed on GitHub Enterprise Server, GitLab, and BitBucket. For more information, see the [installation guide](https://pr-agent-docs.codium.ai/installation/pr_agent_pro/).

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@ -97,22 +97,18 @@ Use triple quotes to write multi-line instructions. Use bullet points or numbers
#### Best practices 💎 #### Best practices 💎
Another option to give additional guidance to the AI model is by creating a dedicated [**wiki page**](https://github.com/Codium-ai/pr-agent/wiki) called `best_practices.md`. Another option to give additional guidance to the AI model is by creating a dedicated [**wiki page**](https://github.com/Codium-ai/pr-agent/wiki) called `best_practices.md`.
This page can contain a list of best practices, coding standards, and guidelines that are specific to your repo/organization (up to 800 lines are allowed) This page can contain a list of best practices, coding standards, and guidelines that are specific to your repo/organization
The AI model will use this page as a reference, and in case the PR code violates any of the guidelines, it will suggest improvements accordingly. The AI model will use this page as a reference, and in case the PR code violates any of the guidelines, it will suggest improvements accordingly, with a dedicated label: `Organization
Examples for possible best practices:
```
## Here are the organization's best practices for writing code:
- avoid nested loops
- avoid typos
- use meaningful variable names
- follow the DRY principle
- keep functions short and simple, typically within 10-30 lines of code.
...
```
When a PR code violates any of the guidelines, the AI model will suggest improvements accordingly, with a dedicated label: `Organization
best practice`. best practice`.
Example for a `best_practices.md` content can be found [here](https://pr-agent-docs.codium.ai/usage-guide/EXAMPLE_BEST_PRACTICE.md) (adapted from Google's [pyguide](https://google.github.io/styleguide/pyguide.html)).
This file is only an example. Since it is used as a prompt for an AI model, we want to emphasize the following:
- It should be written in a clear and concise manner
- If needed, it should give short relevant code snippets as examples
- Up to 800 lines are allowed
Example results: Example results:
![best_practice](https://codium.ai/images/pr_agent/org_best_practice.png){width=512} ![best_practice](https://codium.ai/images/pr_agent/org_best_practice.png){width=512}

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@ -0,0 +1,188 @@
## Recommend Python best practices
### Imports
Use `import` statements for packages and modules only, not for individual types, classes, or functions.
#### Definition
Reusability mechanism for sharing code from one module to another.
#### Decision
- Use `import x` for importing packages and modules.
- Use `from x import y` where `x` is the package prefix and `y` is the module name with no prefix.
- Use `from x import y as z` in any of the following circumstances:
- Two modules named `y` are to be imported.
- `y` conflicts with a top-level name defined in the current module.
- `y` conflicts with a common parameter name that is part of the public API (e.g., `features`).
- `y` is an inconveniently long name, or too generic in the context of your code
- Use `import y as z` only when `z` is a standard abbreviation (e.g., `import numpy as np`).
For example the module `sound.effects.echo` may be imported as follows:
```
from sound.effects import echo
...
echo.EchoFilter(input, output, delay=0.7, atten=4)
```
Do not use relative names in imports. Even if the module is in the same package, use the full package name. This helps prevent unintentionally importing a package twice.
##### Exemptions
Exemptions from this rule:
- Symbols from the following modules are used to support static analysis and type checking:
- [`typing` module](https://google.github.io/styleguide/pyguide.html#typing-imports)
- [`collections.abc` module](https://google.github.io/styleguide/pyguide.html#typing-imports)
- [`typing_extensions` module](https://github.com/python/typing_extensions/blob/main/README.md)
- Redirects from the [six.moves module](https://six.readthedocs.io/#module-six.moves).
### Packages
Import each module using the full pathname location of the module.
#### Decision
All new code should import each module by its full package name.
Imports should be as follows:
```
Yes:
# Reference absl.flags in code with the complete name (verbose).
import absl.flags
from doctor.who import jodie
_FOO = absl.flags.DEFINE_string(...)
```
```
Yes:
# Reference flags in code with just the module name (common).
from absl import flags
from doctor.who import jodie
_FOO = flags.DEFINE_string(...)
```
_(assume this file lives in `doctor/who/` where `jodie.py` also exists)_
```
No:
# Unclear what module the author wanted and what will be imported. The actual
# import behavior depends on external factors controlling sys.path.
# Which possible jodie module did the author intend to import?
import jodie
```
The directory the main binary is located in should not be assumed to be in `sys.path` despite that happening in some environments. This being the case, code should assume that `import jodie` refers to a third-party or top-level package named `jodie`, not a local `jodie.py`.
### Default Iterators and Operators
Use default iterators and operators for types that support them, like lists, dictionaries, and files.
#### Definition
Container types, like dictionaries and lists, define default iterators and membership test operators (“in” and “not in”).
#### Decision
Use default iterators and operators for types that support them, like lists, dictionaries, and files. The built-in types define iterator methods, too. Prefer these methods to methods that return lists, except that you should not mutate a container while iterating over it.
```
Yes: for key in adict: ...
if obj in alist: ...
for line in afile: ...
for k, v in adict.items(): ...
```
```
No: for key in adict.keys(): ...
for line in afile.readlines(): ...
```
### Lambda Functions
Okay for one-liners. Prefer generator expressions over `map()` or `filter()` with a `lambda`.
#### Decision
Lambdas are allowed. If the code inside the lambda function spans multiple lines or is longer than 60-80 chars, it might be better to define it as a regular [nested function](https://google.github.io/styleguide/pyguide.html#lexical-scoping).
For common operations like multiplication, use the functions from the `operator` module instead of lambda functions. For example, prefer `operator.mul` to `lambda x, y: x * y`.
### Default Argument Values
Okay in most cases.
#### Definition
You can specify values for variables at the end of a functions parameter list, e.g., `def foo(a, b=0):`. If `foo` is called with only one argument, `b` is set to 0. If it is called with two arguments, `b` has the value of the second argument.
#### Decision
Okay to use with the following caveat:
Do not use mutable objects as default values in the function or method definition.
```
Yes: def foo(a, b=None):
if b is None:
b = []
Yes: def foo(a, b: Sequence | None = None):
if b is None:
b = []
Yes: def foo(a, b: Sequence = ()): # Empty tuple OK since tuples are immutable.
...
```
```
from absl import flags
_FOO = flags.DEFINE_string(...)
No: def foo(a, b=[]):
...
No: def foo(a, b=time.time()): # Is `b` supposed to represent when this module was loaded?
...
No: def foo(a, b=_FOO.value): # sys.argv has not yet been parsed...
...
No: def foo(a, b: Mapping = {}): # Could still get passed to unchecked code.
...
```
### True/False Evaluations
Use the “implicit” false if possible, e.g., `if foo:` rather than `if foo != []:`
### Lexical Scoping
Okay to use.
An example of the use of this feature is:
```
def get_adder(summand1: float) -> Callable[[float], float]:
"""Returns a function that adds numbers to a given number."""
def adder(summand2: float) -> float:
return summand1 + summand2
return adder
```
#### Decision
Okay to use.
### Threading
Do not rely on the atomicity of built-in types.
While Pythons built-in data types such as dictionaries appear to have atomic operations, there are corner cases where they arent atomic (e.g. if `__hash__` or `__eq__` are implemented as Python methods) and their atomicity should not be relied upon. Neither should you rely on atomic variable assignment (since this in turn depends on dictionaries).
Use the `queue` modules `Queue` data type as the preferred way to communicate data between threads. Otherwise, use the `threading` module and its locking primitives. Prefer condition variables and `threading.Condition` instead of using lower-level locks.