WIP: feat: Most efficient deep research system ever made #32
@ -3,13 +3,14 @@
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import asyncio
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import unittest
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from concurrent.futures import ThreadPoolExecutor
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from typing import Any
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from typing import Any, AsyncIterator
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from typosaurus_sandbox.research.cache import TTLCache
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from typosaurus_sandbox.research.client import RsearchClient
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from typosaurus_sandbox.research.config import ResearchConfig
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from typosaurus_sandbox.research.envelopes import SearchResult
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from typosaurus_sandbox.research.envelopes import ChatResponse, DescribeResponse, SearchResponse, SearchResult
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from typosaurus_sandbox.research.frontier import QueryFrontier
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from typosaurus_sandbox.research.pipeline import ResearchPipeline, WorkItem
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SEARCH_FIXTURE: dict[str, Any] = {
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"query": "subject",
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@ -45,6 +46,84 @@ DESCRIBE_FIXTURE: dict[str, Any] = {
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"timestamp": "2026-08-07T12:00:00Z",
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}
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IMAGES_FIXTURE: dict[str, Any] = {
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"query": "subject",
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"source": "wikimedia",
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"count": 1,
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"success": True,
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"error": None,
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"results": [
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{
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"title": "Aurora borealis over Norway",
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"url": "https://example.com/image",
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"description": "Photograph of the aurora borealis.",
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"source": "wikimedia",
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"extra": {},
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"index": 0,
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}
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],
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}
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class _FakeClient:
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def __init__(self) -> None:
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self.config = ResearchConfig()
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self.search_calls: list[tuple[str, dict[str, Any]]] = []
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self.chat_calls: list[str] = []
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self.describe_calls: list[str] = []
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self.delay_seconds = 0.0
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self.active = 0
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self.peak = 0
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def search_cached(
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self,
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query: str,
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*,
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source: str | None = None,
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count: int | None = None,
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content: bool = False,
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type: str | None = None,
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deep: bool = False,
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ai: bool = False,
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cache: bool = True,
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) -> None:
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return None
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def describe_cached(self, url: str) -> None:
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return None
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async def search(
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self,
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query: str,
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*,
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source: str | None = None,
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count: int | None = None,
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content: bool = False,
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type: str | None = None,
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deep: bool = False,
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ai: bool = False,
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cache: bool = True,
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) -> SearchResponse:
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self.search_calls.append((query, {"type": type, "content": content, "count": count}))
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self.active += 1
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self.peak = max(self.peak, self.active)
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try:
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if self.delay_seconds:
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await asyncio.sleep(self.delay_seconds)
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if type == "images":
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return SearchResponse.from_dict(IMAGES_FIXTURE)
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return SearchResponse.from_dict(SEARCH_FIXTURE)
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finally:
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self.active -= 1
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async def chat(self, prompt: str, *, system: str | None = None, json_mode: bool = False, cache: bool = True) -> ChatResponse:
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self.chat_calls.append(prompt)
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return ChatResponse.from_dict(CHAT_FIXTURE)
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async def describe(self, url: str) -> DescribeResponse:
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self.describe_calls.append(url)
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return DescribeResponse.from_dict(DESCRIBE_FIXTURE)
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class TestFrontierScheduling(unittest.IsolatedAsyncioTestCase):
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@ -360,6 +439,68 @@ class TestPipelineSingleMechanism(unittest.IsolatedAsyncioTestCase):
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self.assertEqual(describe_calls[1][0], "POST")
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class TestResearchPipeline(unittest.IsolatedAsyncioTestCase):
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async def test_pipeline_pool_size_bounded_by_configured_concurrency(self) -> None:
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client = _FakeClient()
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frontier = QueryFrontier()
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default_pipeline = ResearchPipeline(client, frontier)
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self.assertEqual(default_pipeline.pool_size, 8)
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self.assertEqual(default_pipeline.pool_size, ResearchConfig().max_concurrency)
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narrow_pipeline = ResearchPipeline(client, frontier, ResearchConfig(max_concurrency=3))
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self.assertEqual(narrow_pipeline.pool_size, 3)
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floor_pipeline = ResearchPipeline(client, frontier, ResearchConfig(max_concurrency=0))
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self.assertEqual(floor_pipeline.pool_size, 1)
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async def test_pipeline_drains_all_work_items_and_dedups(self) -> None:
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client = _FakeClient()
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frontier = QueryFrontier()
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async def items() -> AsyncIterator[WorkItem]:
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yield WorkItem("web", "subject")
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yield WorkItem("web", "subject")
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yield WorkItem("images", "subject")
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yield WorkItem("describe", "https://example.com/page")
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yield WorkItem("chat", "prompt")
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pipeline = ResearchPipeline(client, frontier, ResearchConfig(max_concurrency=4))
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report = await pipeline.run(items())
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self.assertEqual(report.requests_succeeded, 5)
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self.assertEqual(report.requests_failed, 0)
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self.assertEqual(len(report.outcomes), 5)
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self.assertTrue(all(outcome.success for outcome in report.outcomes))
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endpoints = {outcome.item.kind: outcome.endpoint for outcome in report.outcomes}
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self.assertEqual(endpoints, {"web": "/search", "images": "/search", "describe": "/describe", "chat": "/chat"})
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self.assertEqual(len(client.search_calls), 3)
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self.assertEqual(len(client.describe_calls), 1)
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self.assertEqual(len(client.chat_calls), 1)
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stats = frontier.snapshot()
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self.assertEqual(stats.urls_seen, 2)
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self.assertEqual(stats.urls_duplicates_skipped, 1)
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self.assertEqual(stats.queries_enqueued, 6)
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self.assertEqual(stats.queries_duplicates_skipped, 2)
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self.assertEqual(stats.content_seen, 2)
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async def test_pipeline_concurrency_bounded_by_pool_size(self) -> None:
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client = _FakeClient()
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client.delay_seconds = 0.02
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frontier = QueryFrontier()
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async def items() -> AsyncIterator[WorkItem]:
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for i in range(12):
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yield WorkItem("web", f"subject {i}")
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pipeline = ResearchPipeline(client, frontier, ResearchConfig(max_concurrency=4))
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report = await pipeline.run(items())
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self.assertEqual(report.requests_succeeded, 12)
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self.assertGreaterEqual(client.peak, 2)
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self.assertLessEqual(client.peak, 4)
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if __name__ == "__main__":
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unittest.main()
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