From b1fe37abff4db376376983d94cece727383cc3fe Mon Sep 17 00:00:00 2001
From: mrT23 <tal.r@codium.ai>
Date: Mon, 30 Sep 2024 08:47:50 +0300
Subject: [PATCH] refactor: update terminology for issue review recommendations
 in utils.py

---
 pr_agent/algo/utils.py                     | 8 ++++----
 pr_agent/settings/pr_reviewer_prompts.toml | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/pr_agent/algo/utils.py b/pr_agent/algo/utils.py
index 155a245b9..f8eca4959 100644
--- a/pr_agent/algo/utils.py
+++ b/pr_agent/algo/utils.py
@@ -101,7 +101,7 @@ def convert_to_markdown_v2(output_data: dict,
     emojis = {
         "Can be split": "🔀",
         "Key issues to review": "⚡",
-        "Recommended issues to focus on": "⚡",
+        "Recommended review focus areas": "⚡",
         "Score": "🏅",
         "Relevant tests": "🧪",
         "Focused PR": "✨",
@@ -201,9 +201,9 @@ def convert_to_markdown_v2(output_data: dict,
                 if gfm_supported:
                     markdown_text += f"<tr><td>"
                     # markdown_text += f"{emoji}&nbsp;<strong>{key_nice}</strong><br><br>\n\n"
-                    markdown_text += f"{emoji}&nbsp;<strong>Recommended issues to focus on</strong><br><br>\n\n"
+                    markdown_text += f"{emoji}&nbsp;<strong>Recommended review focus areas</strong><br><br>\n\n"
                 else:
-                    markdown_text += f"### {emoji} Recommended issues to focus on\n\n#### \n"
+                    markdown_text += f"### {emoji} Recommended review focus areas\n\n#### \n"
                 for i, issue in enumerate(issues):
                     try:
                         if not issue or not isinstance(issue, dict):
@@ -221,7 +221,7 @@ def convert_to_markdown_v2(output_data: dict,
                             issue_str = f"[**{issue_header}**]({reference_link})\n\n{issue_content}\n\n"
                         markdown_text += f"{issue_str}\n\n"
                     except Exception as e:
-                        get_logger().exception(f"Failed to process 'Recommended issues to focus on': {e}")
+                        get_logger().exception(f"Failed to process 'Recommended review focus areas': {e}")
                 if gfm_supported:
                     markdown_text += f"</td></tr>\n"
         else:
diff --git a/pr_agent/settings/pr_reviewer_prompts.toml b/pr_agent/settings/pr_reviewer_prompts.toml
index a3a0fbb2b..a7cff9138 100644
--- a/pr_agent/settings/pr_reviewer_prompts.toml
+++ b/pr_agent/settings/pr_reviewer_prompts.toml
@@ -82,7 +82,7 @@ class SubPR(BaseModel):
 class KeyIssuesComponentLink(BaseModel):
     relevant_file: str = Field(description="The full file path of the relevant file")
     issue_header: str = Field(description="One or two word title for the the issue. For example: 'Possible Bug', 'Performance Issue', 'Code Smell', etc.")
-    issue_content: str = Field(description="A short and concise summary of the issue for review. Don't state line numbers here")
+    issue_content: str = Field(description="A short and concise summary of the issue recommended for focus in the review process. Don't state line numbers here")
     start_line: int = Field(description="The start line that corresponds to this issue in the relevant file")
     end_line: int = Field(description="The end line that corresponds to this issue in the relevant file")