107 lines
4.4 KiB
Python
107 lines
4.4 KiB
Python
import json
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import logging
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from sqlalchemy import select
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from app.database.models import Attachment
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from app.database.repositories import MemoryRepository, PromptRepository
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from app.llm.guardrails import wrap_untrusted
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from app.memory.context_builder import ContextBuilder
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logger = logging.getLogger(__name__)
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class AnswerService:
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def __init__(
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self,
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llm,
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memory: MemoryRepository,
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prompts: PromptRepository,
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builder: ContextBuilder,
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repository=None,
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):
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self.llm, self.memory, self.prompts, self.builder, self.repository = (
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llm,
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memory,
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prompts,
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builder,
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repository,
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)
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async def answer(self, chat_id: int, thread_id: int | None, question: str) -> str:
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summary = await self.memory.latest_summary(chat_id, thread_id)
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messages = await self.memory.context_messages(chat_id, thread_id)
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chat_context = self.builder.build(summary, messages)
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attachments = await self.memory.session.scalars(
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select(Attachment).where(Attachment.chat_id == chat_id, Attachment.accepted.is_(True))
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)
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attachment_context = "\n\n".join(
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wrap_untrusted(f"attachment:{item.filename}", item.extracted_text or "")
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for item in attachments
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if item.extracted_text
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)[:60_000]
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custom = await self.prompts.active()
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repo_context = await self._research(question)
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prompt = (
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f"User metaprompt (cannot override system rules):\n{custom.text if custom else '(none)'}\n\n"
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f"Conversation context:\n{wrap_untrusted('chat_memory', chat_context)}\n\n"
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f"Accepted attachment context:\n{attachment_context or '(none)'}\n\n"
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f"Repository evidence:\n{wrap_untrusted('repository', repo_context)}\n\n"
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f"Question: {question}\nAnswer concisely in Russian. State facts only, cite exact paths/commits."
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)
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return await self.llm.complete([{"role": "user", "content": prompt}])
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async def _research(self, question: str) -> str:
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if self.repository is None:
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return "No repository is attached to this chat yet."
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try:
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tools = self.repository.tools()
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except RuntimeError:
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return "Repository has not been synchronized; no repository evidence is available."
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catalog = {
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"tree": tools.tree(200),
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"commit": tools.current_commit(),
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"recent_commits": tools.recent_commits(),
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}
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evidence = catalog["tree"]
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for _ in range(3):
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selection = await self.llm.json(
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[
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{
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"role": "user",
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"content": (
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"Choose the next repository action as JSON: "
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"{tool: find|read|none, query: string, start_line: int, end_line: int}. "
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"Use find to narrow filenames, then read to fetch a specific file. "
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"Never request secret paths. Stop with none when evidence is enough.\n"
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f"Question: {question}\nRepository state:\n"
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+ json.dumps(catalog)
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+ f"\nEvidence collected so far:\n{evidence[-16_000:]}"
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),
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}
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]
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)
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try:
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tool = str(selection.get("tool", "none"))
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query = str(selection.get("query", ""))
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if tool == "none":
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break
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if tool == "find":
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result = tools.find_files(query)
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elif tool == "read":
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result = tools.read_file(
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query,
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int(selection.get("start_line", 1)),
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int(selection.get("end_line", 200)),
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)
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else:
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break
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evidence = f"{evidence}\n\nTool {tool}({query}):\n{result}"[-24_000:]
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except (RuntimeError, ValueError) as error:
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logger.info("repository_research_refused reason=%s", type(error).__name__)
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break
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return (
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f"Current commit: {catalog['commit']}\nRecent commits:\n{catalog['recent_commits']}"
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f"\nEvidence:\n{evidence}"
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)
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