Enhancement of AI Response Parsing Mechanism

[koid]

Type

Enhancement

---

Description

This PR introduces an enhancement to the AI response parsing mechanism. The main changes include:

• A regular expression pattern has been introduced to extract the YAML snippet from the AI response, ignoring any explanatory text before the snippet.
• The load_yaml function in pr_agent/algo/utils.py has been modified to use this pattern and extract the YAML snippet.
• A new test case has been added in tests/unittest/test_load_yaml.py to verify the correct parsing of AI responses that include a description before the YAML snippet.

---

PR changes walkthrough

	Relevant files
Enhancement	1 files utils.py                                                                                                        pr_agent/algo/utils.py The `load_yaml` function has been enhanced with a regular expression pattern to extract the YAML snippet from the AI response, ignoring any explanatory text before the snippet. +6/-0
Tests	1 files test_load_yaml.py                                                                                      tests/unittest/test_load_yaml.py A new test case has been added to verify the correct parsing of AI responses that include a description before the YAML snippet. +12/-0

---

User description

As with added test cases during PR, AI responses are not only encapsulated in quotes as snippets but may also include explanatory text at the beginning.

While we already handle cases where existing code becomes a snippet, adding a step to extract the snippet portion from AI responses in advance is desired to prevent parsing errors when explanatory text is included.

[codiumai-pr-agent-pro]

PR Description updated to latest commit (4854007)

[koid]

/describe

[codiumai-pr-agent-pro]

PR Analysis

(review updated until commit 16b61eb)

• 🎯 Main theme: Enhancement of AI Response Parsing Mechanism
• 📝 PR summary: This PR introduces an enhancement to the AI response parsing mechanism. It adds a regular expression pattern to extract the YAML snippet from the AI response, ignoring any explanatory text before the snippet. The load_yaml function in pr_agent/algo/utils.py has been modified to use this pattern and extract the YAML snippet. A new test case has been added to verify the correct parsing of AI responses.
• 📌 Type of PR: Enhancement
• 🧪 Relevant tests added: Yes
• ⏱️ Estimated effort to review [1-5]: 2, because the PR is relatively small and the changes are straightforward. The code is well-structured and easy to understand.
• 🔒 Security concerns: No security concerns found

PR Feedback

• 💡 General suggestions: The PR is well-structured and the changes are clear. The use of regular expressions to extract the YAML snippet is a good approach. However, it would be better to handle the case where the regular expression does not match anything in the response text.

• 🤖 Code feedback:

  ---

  relevant file	pr_agent/algo/utils.py
  suggestion	It would be better to handle the case where the regular expression does not match anything in the response text. This can be done by adding an else clause to the if statement and raising an exception or returning an appropriate default value. [important]
  relevant line	if snipet:

  ---

  relevant file	tests/unittest/test_load_yaml.py
  suggestion	It would be beneficial to add a test case for the scenario where the regular expression does not match anything in the response text. This will ensure that the function behaves as expected in this scenario. [medium]
  relevant line	def test_load_valid_yaml_with_description(self):

  ---

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[codiumai-pr-agent-pro]

PR Description updated to latest commit (4854007)

[koid]

I apologize; I found a typo, so I re-pushed it.

[koid]

/describe

[codiumai-pr-agent-pro]

PR Description updated to latest commit (16b61eb)

[koid]

/review

[codiumai-pr-agent-pro]

Persistent review updated to latest commit 16b61eb

[mrT23]

/ask explain to me what the following code does. Be specific, and give examples. Be critical, and think of edge cases.

    # remove everything before the first ```yaml
    snipet_pattern = r'```(yaml)?[\s\S]*?```'
    snipet = re.search(snipet_pattern, response_text)
    if snipet:
        response_text = snipet.group()

[codiumai-pr-agent-pro]

Question: explain to me what the following code does. Be specific, and give examples. Be critical, and think of edge cases. python snipet_pattern = r'(yaml)?[sS]*?' snipet = re.search(snipet_pattern, response_text) if snipet: response_text = snipet.group()

Answer:
The provided code is a regular expression pattern matching operation that is used to extract a YAML snippet from a larger text string, which is the AI's response.

Here's a breakdown of the code:

1. snipet_pattern = r'```(yaml)?[\s\S]*?```': This line defines a regular expression pattern. The pattern is looking for a string that starts with '' optionally followed by 'yaml', then any number of characters (including newline characters due to `[\s\S]`), and ends with ''. The '?' after '(yaml)' and '*?' makes the 'yaml' and the following characters optional and non-greedy respectively. This means it will stop at the first occurrence of '' it finds after the initial ''.

2. snipet = re.search(snipet_pattern, response_text): This line uses the re.search function to search the response_text for the first location where the snipet_pattern matches.

3. if snipet: response_text = snipet.group(): If a match is found (if snipet), the matched string is extracted using the group() method and assigned back to response_text.

For example, if the AI's response is:

Here is the answer in YAML format:

```yaml
name: John Smith
age: 35

The code will extract:

name: John Smith
age: 35

and assign it back to `response_text`.

As for edge cases, this code assumes that the YAML snippet will always be enclosed within '```'. If the AI's response doesn't follow this format, the code might not work as expected. Also, if there are multiple YAML snippets in the response, this code will only extract the first one because `re.search` stops after finding the first match.

[mrT23]

Hi @koid
The logic behind this PR is sound, and the tests helped understand the usecase 👍

My request is to move the condition to the fallback:

data = try_fix_yaml(response_text)

Why:

1. This is not a case that happens very often (with openai). The model usually (>98%) doesn't add a prefix. we specifically instructed him not to
2. we want to document such cases, and add a proper log message

Once you will move it to the fallback section, we can merge

[koid]

Thank you for the review.
I appreciate your request and the reasons behind it.
I will re-implement it as a fallback within try_fix_yaml.

[koid]

I added a 'return' statement because even when it could be loaded as YAML, it was not returning a value.
Although I considered creating a separate PR for this, I decided to include the fix together.

[mrT23]

👍

[koid]

Hi @mrT23

I've completed the corrections, so please review it again.

The changes are as follows:

• e2797ad Implemented a fallback within try_fix_yaml.
• f998620 Additionally, modified the test cases from load_yaml to try_fix_yaml to align with the changes. While fixing the above test cases, noticed a discrepancy in the file name prefix, so corrected the file names.
• a9d7899 Discovered a bug in the implementation of other fallbacks in try_fix_yaml, so fixing them concurrently.

[mrT23]

Thanks @koid
merged