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https://github.com/qodo-ai/pr-agent.git
synced 2025-07-02 03:40:38 +08:00
feat: improve help tool with markdown header formatting and error handling
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@ -13,7 +13,7 @@ The output must be a YAML object equivalent to type $DocHelper, according to the
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=====
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class relevant_section(BaseModel):
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file_name: str = Field(description="The name of the relevant file")
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relevant_section_header_string: str = Field(description="From the relevant file, exact text of the relevant section heading. If no markdown heading is relevant, return empty string")
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relevant_section_header_string: str = Field(description="The exact text of the relevant markdown section heading from the relevant file (starting with '#', '##', etc.). Return empty string if the entire file is the relevant section, or if the relevant section has no heading")
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class DocHelper(BaseModel):
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user_question: str = Field(description="The user's question")
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@ -1,4 +1,5 @@
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import copy
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import re
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from functools import partial
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from pathlib import Path
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@ -9,10 +10,9 @@ from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
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from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAIHandler
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from pr_agent.algo.pr_processing import retry_with_fallback_models
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from pr_agent.algo.token_handler import TokenHandler
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from pr_agent.algo.utils import ModelType, clip_tokens, load_yaml
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from pr_agent.algo.utils import ModelType, clip_tokens, load_yaml, get_max_tokens
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from pr_agent.config_loader import get_settings
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from pr_agent.git_providers import (BitbucketServerProvider, GithubProvider,
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get_git_provider_with_context)
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from pr_agent.git_providers import BitbucketServerProvider, GithubProvider, get_git_provider_with_context
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from pr_agent.log import get_logger
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@ -30,10 +30,11 @@ def extract_header(snippet):
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return res
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class PRHelpMessage:
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def __init__(self, pr_url: str, args=None, ai_handler: partial[BaseAiHandler,] = LiteLLMAIHandler):
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def __init__(self, pr_url: str, args=None, ai_handler: partial[BaseAiHandler,] = LiteLLMAIHandler, return_as_string=False):
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self.git_provider = get_git_provider_with_context(pr_url)
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self.ai_handler = ai_handler()
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self.question_str = self.parse_args(args)
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self.return_as_string = return_as_string
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self.num_retrieved_snippets = get_settings().get('pr_help.num_retrieved_snippets', 5)
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if self.question_str:
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self.vars = {
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@ -65,6 +66,34 @@ class PRHelpMessage:
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question_str = ""
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return question_str
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def format_markdown_header(self, header: str) -> str:
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try:
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# First, strip common characters from both ends
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cleaned = header.strip('# 💎\n')
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# Define all characters to be removed/replaced in a single pass
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replacements = {
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"'": '',
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"`": '',
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'(': '',
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')': '',
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',': '',
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'.': '',
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'?': '',
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'!': '',
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' ': '-'
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}
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# Compile regex pattern for characters to remove
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pattern = re.compile('|'.join(map(re.escape, replacements.keys())))
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# Perform replacements in a single pass and convert to lowercase
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return pattern.sub(lambda m: replacements[m.group()], cleaned).lower()
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except Exception:
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get_logger().exception(f"Error while formatting markdown header", artifacts={'header': header})
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return ""
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async def run(self):
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try:
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if self.question_str:
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@ -106,7 +135,10 @@ class PRHelpMessage:
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get_logger().debug(f"Token count of full documentation website: {token_count}")
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model = get_settings().config.model
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max_tokens_full = MAX_TOKENS[model] # note - here we take the actual max tokens, without any reductions. we do aim to get the full documentation website in the prompt
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if model in MAX_TOKENS:
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max_tokens_full = MAX_TOKENS[model] # note - here we take the actual max tokens, without any reductions. we do aim to get the full documentation website in the prompt
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else:
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max_tokens_full = get_max_tokens(model)
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delta_output = 2000
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if token_count > max_tokens_full - delta_output:
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get_logger().info(f"Token count {token_count} exceeds the limit {max_tokens_full - delta_output}. Skipping the PR Help message.")
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@ -114,8 +146,16 @@ class PRHelpMessage:
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self.vars['snippets'] = docs_prompt.strip()
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# run the AI model
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response = await retry_with_fallback_models(self._prepare_prediction, model_type=ModelType.WEAK)
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response = await retry_with_fallback_models(self._prepare_prediction, model_type=ModelType.REGULAR)
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response_yaml = load_yaml(response)
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if isinstance(response_yaml, str):
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get_logger().warning(f"failing to parse response: {response_yaml}, publishing the response as is")
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if get_settings().config.publish_output:
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answer_str = f"### Question: \n{self.question_str}\n\n"
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answer_str += f"### Answer:\n\n"
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answer_str += response_yaml
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self.git_provider.publish_comment(answer_str)
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return ""
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response_str = response_yaml.get('response')
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relevant_sections = response_yaml.get('relevant_sections')
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@ -138,7 +178,7 @@ class PRHelpMessage:
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for section in relevant_sections:
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file = section.get('file_name').strip().removesuffix('.md')
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if str(section['relevant_section_header_string']).strip():
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markdown_header = section['relevant_section_header_string'].strip().strip('#').strip().lower().replace(' ', '-').replace("'", '').replace('(', '').replace(')', '').replace(',', '').replace('.', '').replace('?', '').replace('!', '')
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markdown_header = self.format_markdown_header(section['relevant_section_header_string'])
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answer_str += f"> - {base_path}{file}#{markdown_header}\n"
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else:
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answer_str += f"> - {base_path}{file}\n"
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@ -236,7 +276,7 @@ class PRHelpMessage:
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for i in range(len(tool_names)):
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pr_comment += f"\n<tr><td align='left'>\n\n<strong>{tool_names[i]}</strong></td>\n<td>{descriptions[i]}</td>\n<td>\n\n{checkbox_list[i]}\n</td></tr>"
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pr_comment += "</table>\n\n"
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pr_comment += f"""\n\n(1) Note that each tool can be [triggered automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#github-app-automatic-tools-when-a-new-pr-is-opened) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
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pr_comment += f"""\n\n(1) Note that each tool be [triggered automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#github-app-automatic-tools-when-a-new-pr-is-opened) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
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pr_comment += f"""\n\n(2) Tools marked with [*] require additional parameters to be passed. For example, to invoke the `/ask` tool, you need to comment on a PR: `/ask "<question content>"`. See the relevant documentation for each tool for more details."""
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elif isinstance(self.git_provider, BitbucketServerProvider):
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# only support basic commands in BBDC
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@ -246,7 +286,7 @@ class PRHelpMessage:
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for i in range(len(tool_names)):
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pr_comment += f"\n<tr><td align='left'>\n\n<strong>{tool_names[i]}</strong></td><td>{commands[i]}</td><td>{descriptions[i]}</td></tr>"
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pr_comment += "</table>\n\n"
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pr_comment += f"""\n\nNote that each tool can be [invoked automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
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pr_comment += f"""\n\nNote that each tool be [invoked automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
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if get_settings().config.publish_output:
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self.git_provider.publish_comment(pr_comment)
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