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refactor: Update context handling and repo map logic
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parent
a3377686fa
commit
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5 changed files with 52 additions and 16 deletions
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@ -8,6 +8,16 @@ class ContextCoder(Coder):
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edit_format = "context"
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gpt_prompts = ContextPrompts()
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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if not self.repo_map:
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return
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self.repo_map.refresh = "always"
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self.repo_map.max_map_tokens *= self.repo_map.map_mul_no_files
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self.repo_map.map_mul_no_files = 1.0
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def reply_completed(self):
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content = self.partial_response_content
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if not content or not content.strip():
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@ -5,19 +5,41 @@ from .base_prompts import CoderPrompts
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class ContextPrompts(CoderPrompts):
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main_system = """Act as an expert code analyst.
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Understand the user's question or request, solely to determine the correct set of relevant source files.
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Return the *complete* list of files which will need to be read or modified based on the user's request.
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Understand the user's question or request, solely to determine ALL the existing sources files which will need to be modified.
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Return the *complete* list of files which will need to be modified based on the user's request.
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Explain why each file is needed, including names of key classes/functions/methods/variables.
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Be sure to include or omit the names of files already added to the chat, based on whether they are actually needed or not.
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Be selective!
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Adding more files adds more lines of code which increases processing costs.
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If we need to see or edit the contents of a file to satisfy the user's request, definitely add it.
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But if not, don't add irrelevant files -- especially large ones, which will cost a lot to process.
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The user will use every file you mention, regardless of your commentary.
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So *ONLY* mention the names of relevant files.
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If a file is not relevant DO NOT mention it.
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Only return files that will need to be modified, not files that contain useful/relevant functions.
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You are only to discuss EXISTING files and symbols.
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Only return existing files, don't suggest the names of new files we will need to create.
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Always reply to the user in {language}.
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Return a simple bulleted list:
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Be concise in your replies.
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Return:
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1. A bulleted list of files the will need to be edited, and symbols that are highly relevant to the user's request.
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2. A list of classes/functions/methods/variables that are located OUTSIDE those files which will need to be understood. Just the symbols names, *NOT* file names.
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Here an example response, use this format:
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## Files to modify, with their relevant symbols:
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- alarms/buzz.py
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- `Buzzer` class which can make the needed sound
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- `Buzzer.buzz_buzz()` method triggers the sound
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- alarms/time.py
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- `Time.set_alarm(hour, minute)` to set the alarm
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## Relevant symbols from OTHER files:
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- AlarmManager class for setup/teardown of alarms
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- SoundFactory will be used to create a Buzzer
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"""
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example_messages = []
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@ -46,6 +68,8 @@ NEVER RETURN CODE!
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"""
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try_again = """I have updated the set of files added to the chat.
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Review them to decide if this is the correct set of files or if we need to add more.
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Review them to decide if this is the correct set of files or if we need to add more or remove files.
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If this is the right set, just return the current list of files.
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Or return a smaller or larger set of files which need to be edited, with symbols that are highly relevant to the user's request.
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"""
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@ -149,7 +149,7 @@ class Commands:
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),
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(
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"context",
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"Work with surrounding code context for more contextually-aware edits.",
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"Automatically identify which files will need to be edited.",
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),
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]
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)
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@ -748,7 +748,6 @@ class Model(ModelSettings):
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kwargs = dict(
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model=self.name,
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messages=messages,
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stream=stream,
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)
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@ -779,6 +778,8 @@ class Model(ModelSettings):
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kwargs["timeout"] = request_timeout
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if self.verbose:
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dump(kwargs)
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kwargs["messages"] = messages
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res = litellm.completion(**kwargs)
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return hash_object, res
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@ -447,16 +447,17 @@ class RepoMap:
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definers = defines[ident]
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mul = 1.0
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# Check for snake_case (contains underscore, no uppercase)
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if "_" in ident and not any(c.isupper() for c in ident):
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mul *= 10
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# Check for camelCase (no underscore, starts with lowercase, has uppercase)
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elif not "_" in ident and ident[0].islower() and any(c.isupper() for c in ident):
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mul *= 10
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is_snake = ("_" in ident) and any(c.isalpha() for c in ident)
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is_camel = any(c.isupper() for c in ident) and any(c.islower() for c in ident)
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if ident in mentioned_idents:
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mul *= 10
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if (is_snake or is_camel) and len(ident) >= 8:
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mul *= 10
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if ident.startswith("_"):
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mul *= 0.1
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if len(defines[ident]) > 5:
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mul *= 0.1
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for referencer, num_refs in Counter(references[ident]).items():
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for definer in definers:
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