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18
Usage.md
18
Usage.md
@ -108,12 +108,22 @@ Any configuration value in [configuration file](pr_agent/settings/configuration.
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### Working with GitHub App
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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.
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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.
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By uploading a local `.pr_agent.toml` file, you can edit and customize any configuration parameter.
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For example, if you set in `.pr_agent.toml`:
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```
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[pr_reviewer]
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num_code_suggestions=1
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```
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Than you will overwrite the default number of code suggestions to be 1.
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#### GitHub app automatic tools
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The [github_app](pr_agent/settings/configuration.toml#L56) section defines GitHub app specific configurations.
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The [github_app](pr_agent/settings/configuration.toml#L76) section defines GitHub app-specific configurations.
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In this section you can define configurations to control the conditions for which tools will **run automatically**.
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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.
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##### GitHub app automatic tools for PR actions
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The GitHub app can respond to the following actions on a PR:
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@ -151,7 +161,7 @@ handle_pr_actions = []
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```
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##### GitHub app automatic tools for new code (PR push)
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In addition the running automatic tools when a PR is opened, the GitHub app can also respond to new code that is pushed to an open PR.
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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.
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The configuration toggle `handle_push_trigger` can be used to enable this feature.
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The configuration parameter `push_commands` defines the list of tools that will be **run automatically** when new code is pushed to the PR.
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@ -183,7 +183,7 @@ class BitbucketProvider(GitProvider):
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def publish_inline_comments(self, comments: list[dict]):
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for comment in comments:
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self.publish_inline_comment(comment['body'], comment['start_line'], comment['path'])
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self.publish_inline_comment(comment['body'], comment['position'], comment['path'])
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def get_title(self):
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return self.pr.title
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@ -143,6 +143,9 @@ def get_main_pr_language(languages, files) -> str:
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if not languages:
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get_logger().info("No languages detected")
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return main_language_str
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if not files:
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get_logger().info("No files in diff")
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return main_language_str
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try:
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top_language = max(languages, key=languages.get).lower()
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@ -34,7 +34,7 @@ key = "" # Optional, uncomment if you want to use Huggingface Inference API. Acq
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api_base = "" # the base url for your huggingface inference endpoint
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[ollama]
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api_base = "" # the base url for your huggingface inference endpoint
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api_base = "" # the base url for your local Llama 2, Code Llama, and other models inference endpoint. Acquire through https://ollama.ai/
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[github]
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# ---- Set the following only for deployment type == "user"
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@ -151,7 +151,7 @@ PR Analysis:
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PR summary: |-
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xxx
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Type of PR: |-
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Bug fix
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...
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{%- if require_score %}
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Score: 89
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{%- endif %}
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@ -239,7 +239,8 @@ class PRReviewer:
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last_commit_msg = self.incremental.commits_range[0].commit.message if self.incremental.commits_range else ""
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incremental_review_markdown_text = f"Starting from commit {last_commit_url}"
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if last_commit_msg:
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incremental_review_markdown_text += f" \n_({last_commit_msg.splitlines(keepends=False)[0]})_"
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replacement = last_commit_msg.splitlines(keepends=False)[0].replace('_', r'\_')
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incremental_review_markdown_text += f" \n_({replacement})_"
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data = OrderedDict(data)
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data.update({'Incremental PR Review': {
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"⏮️ Review for commits since previous PR-Agent review": incremental_review_markdown_text}})
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