Actions (click)

• ↻ Restart Sweep

Sandbox Execution ✓

Here are the sandbox execution logs prior to making any changes:

Sandbox passed on the latest main, so sandbox checks will be enabled for this issue.

Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Step 2: ⌨️ Coding

• Create sweepai/agents/filter_agent.py ✓ da604ba Edit

Create sweepai/agents/filter_agent.py with contents:
• Create a new file `filter_agent.py` in the `sweepai/agents/` directory.
• Import the necessary modules and classes. This will include `ChatGPT` from `openai` and `serialize_method_name` from `name_agent.py`.
• Define a new class `FilterBot` that inherits from `ChatGPT`.
• Inside the `FilterBot` class, define a prompt that will be used to filter out unnecessary terms from a given search query. The prompt should be designed in a way that it instructs the model to filter out unnecessary terms from the input.
• Implement the `filter_query` method that takes a search query as input, uses the prompt to generate a response from the `ChatGPT` model, and returns the filtered query.

• Running GitHub Actions for sweepai/agents/filter_agent.py ✓ Edit

Check sweepai/agents/filter_agent.py with contents:

Ran GitHub Actions for da604ba2c876a82460d66c6672ccf8eb3c69c39e:
• black: ✓

• Modify sweepai/utils/ticket_utils.py ✓ c811ac0 Edit

Modify sweepai/utils/ticket_utils.py with contents:
• Import the `FilterBot` class from `filter_agent.py`.
• Inside the `prep_snippets` function, before the search query is passed into the lexical search, pass it through the `FilterBot` to filter out unnecessary terms. Replace the existing search query with the filtered query.

--- 
+++ 
@@ -16,6 +16,7 @@
 from sweepai.utils.chat_logger import discord_log_error
 from sweepai.utils.event_logger import posthog
 from sweepai.utils.github_utils import ClonedRepo
+from sweepai.agents.filter_agent import FilterBot
 from sweepai.utils.progress import TicketProgress
 from sweepai.utils.str_utils import total_number_of_snippet_tokens
 
@@ -40,7 +41,9 @@
     for snippet in snippets:
         snippet.file_path = snippet.file_path[len(cloned_repo.cached_dir) + 1 :]
 
-    content_to_lexical_score = search_index(query, lexical_index)
+    filter_bot = FilterBot()
+    filtered_query = filter_bot.filter_query(query)[0]
+    content_to_lexical_score = search_index(filtered_query, lexical_index)
     snippet_to_key = (
         lambda snippet: f"{snippet.file_path}:{snippet.start}:{snippet.end}"
     )

• Running GitHub Actions for sweepai/utils/ticket_utils.py ✓ Edit

Check sweepai/utils/ticket_utils.py with contents:

Ran GitHub Actions for c811ac000518981cf641a4baa77a6960595559e4:

• Create sweepai/agents/filter_agent_test.py ✓ f25dae8 Edit

Create sweepai/agents/filter_agent_test.py with contents:
• Create a new file `filter_agent_test.py` in the `sweepai/agents/` directory.
• Import the necessary modules and classes. This will include `pytest` and `FilterBot` from `filter_agent.py`.
• Write unit tests for the `FilterBot` class. The tests should cover different types of search queries and ensure that the `FilterBot` correctly filters out unnecessary terms.

• Running GitHub Actions for sweepai/agents/filter_agent_test.py ✓ Edit

Check sweepai/agents/filter_agent_test.py with contents:

Ran GitHub Actions for f25dae8b531ee4984790efa66924f10fba58382d:
• Vercel Preview Comments: ✓
• black: ✓

Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/create_a_new_agent_to_be_used_in_ticket.

🎉 Latest improvements to Sweep:

• We just released a dashboard to track Sweep's progress on your issue in real-time, showing every stage of the process – from search to planning and coding.
• Sweep uses OpenAI's latest Assistant API to plan code changes and modify code! This is 3x faster and significantly more reliable as it allows Sweep to edit code and validate the changes in tight iterations, the same way as a human would.
• Try using the GitHub issues extension to create Sweep issues directly from your editor! GitHub Issues and Pull Requests.

💡 To recreate the pull request edit the issue title or description. To tweak the pull request, leave a comment on the pull request.
^{Join Our Discord}