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* feat(web_extract): truncate-and-store instead of LLM summarization web_extract no longer runs an auxiliary LLM over scraped pages. The extract backends (Firecrawl/Tavily/Exa/Parallel) already return clean, boilerplate- stripped markdown, so we return it directly: pages within a char budget (default 15000, web.extract_char_limit) come back whole; larger pages get a head+tail window plus an explicit footer giving the stored full-text path and the read_file call to page through the omitted middle. The full clean text is written to cache/web (mounted read-only into remote backends like the other cache dirs), so nothing is lost. Inline base64 images are converted to [IMAGE: alt] placeholders (token bombs dropped) while real http(s) image URLs are preserved as links so the agent can still web_extract/vision_analyze them. Removes process_content_with_llm + the chunked summarizer + check_auxiliary_model + _resolve_web_extract_auxiliary. context_references._default_url_fetcher is updated to the truncate path and its stale data.documents shape read is fixed to results (it was silently returning empty). Live before/after eval (firecrawl, 4 URLs): 11.7x faster overall (176.6s -> 15.1s); 10-60x on large pages. Quality identical; findability 4/4 (answer recoverable from stored full text on every truncated page). web_search is unchanged. No own scraper added; no changes to web_search. * fix(web_extract): add char_limit to execute_code web_extract stub The new web_extract char_limit param must appear in the code_execution_tool _TOOL_STUBS signature (and doc line) or test_stubs_cover_all_schema_params fails — the stub schema must cover every real schema param.
227 lines
9.5 KiB
Python
227 lines
9.5 KiB
Python
"""Tests for Tavily web backend integration.
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Coverage:
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_tavily_request() — API key handling, endpoint construction, error propagation.
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_normalize_tavily_search_results() — search response normalization.
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_normalize_tavily_documents() — extract response normalization, failed_results.
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web_search_tool / web_extract_tool — Tavily dispatch paths.
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"""
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import json
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import os
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import asyncio
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import pytest
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from unittest.mock import patch, MagicMock
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from tests.tools.conftest import register_all_web_providers
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# ─── _tavily_request ─────────────────────────────────────────────────────────
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class TestTavilyRequest:
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"""Test suite for the _tavily_request helper."""
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def test_raises_without_api_key(self):
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"""No TAVILY_API_KEY → ValueError with guidance."""
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with patch.dict(os.environ, {}, clear=False):
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os.environ.pop("TAVILY_API_KEY", None)
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from tools.web_tools import _tavily_request
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with pytest.raises(ValueError, match="TAVILY_API_KEY"):
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_tavily_request("search", {"query": "test"})
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def test_posts_with_api_key_in_body(self):
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"""api_key is injected into the JSON payload."""
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mock_response = MagicMock()
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mock_response.json.return_value = {"results": []}
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mock_response.raise_for_status = MagicMock()
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with patch.dict(os.environ, {"TAVILY_API_KEY": "tvly-test-key"}):
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with patch("tools.web_tools.httpx.post", return_value=mock_response) as mock_post:
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from tools.web_tools import _tavily_request
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result = _tavily_request("search", {"query": "hello"})
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mock_post.assert_called_once()
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call_kwargs = mock_post.call_args
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payload = call_kwargs.kwargs.get("json") or call_kwargs[1].get("json")
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assert payload["api_key"] == "tvly-test-key"
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assert payload["query"] == "hello"
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assert "api.tavily.com/search" in call_kwargs.args[0]
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def test_raises_on_http_error(self):
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"""Non-2xx responses propagate as httpx.HTTPStatusError."""
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import httpx as _httpx
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mock_response = MagicMock()
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mock_response.raise_for_status.side_effect = _httpx.HTTPStatusError(
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"401 Unauthorized", request=MagicMock(), response=mock_response
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)
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with patch.dict(os.environ, {"TAVILY_API_KEY": "tvly-bad-key"}):
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with patch("tools.web_tools.httpx.post", return_value=mock_response):
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from tools.web_tools import _tavily_request
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with pytest.raises(_httpx.HTTPStatusError):
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_tavily_request("search", {"query": "test"})
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# ─── _normalize_tavily_search_results ─────────────────────────────────────────
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class TestNormalizeTavilySearchResults:
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"""Test search result normalization."""
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def test_basic_normalization(self):
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from tools.web_tools import _normalize_tavily_search_results
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raw = {
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"results": [
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{"title": "Python Docs", "url": "https://docs.python.org", "content": "Official docs", "score": 0.9},
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{"title": "Tutorial", "url": "https://example.com", "content": "A tutorial", "score": 0.8},
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]
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}
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result = _normalize_tavily_search_results(raw)
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assert result["success"] is True
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web = result["data"]["web"]
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assert len(web) == 2
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assert web[0]["title"] == "Python Docs"
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assert web[0]["url"] == "https://docs.python.org"
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assert web[0]["description"] == "Official docs"
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assert web[0]["position"] == 1
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assert web[1]["position"] == 2
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def test_empty_results(self):
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from tools.web_tools import _normalize_tavily_search_results
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result = _normalize_tavily_search_results({"results": []})
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assert result["success"] is True
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assert result["data"]["web"] == []
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def test_missing_fields(self):
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from tools.web_tools import _normalize_tavily_search_results
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result = _normalize_tavily_search_results({"results": [{}]})
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web = result["data"]["web"]
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assert web[0]["title"] == ""
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assert web[0]["url"] == ""
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assert web[0]["description"] == ""
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# ─── _normalize_tavily_documents ──────────────────────────────────────────────
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class TestNormalizeTavilyDocuments:
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"""Test extract/crawl document normalization."""
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def test_basic_document(self):
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from tools.web_tools import _normalize_tavily_documents
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raw = {
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"results": [{
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"url": "https://example.com",
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"title": "Example",
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"raw_content": "Full page content here",
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}]
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}
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docs = _normalize_tavily_documents(raw)
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assert len(docs) == 1
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assert docs[0]["url"] == "https://example.com"
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assert docs[0]["title"] == "Example"
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assert docs[0]["content"] == "Full page content here"
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assert docs[0]["raw_content"] == "Full page content here"
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assert docs[0]["metadata"]["sourceURL"] == "https://example.com"
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def test_falls_back_to_content_when_no_raw_content(self):
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from tools.web_tools import _normalize_tavily_documents
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raw = {"results": [{"url": "https://example.com", "content": "Snippet"}]}
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docs = _normalize_tavily_documents(raw)
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assert docs[0]["content"] == "Snippet"
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def test_failed_results_included(self):
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from tools.web_tools import _normalize_tavily_documents
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raw = {
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"results": [],
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"failed_results": [
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{"url": "https://fail.com", "error": "timeout"},
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],
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}
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docs = _normalize_tavily_documents(raw)
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assert len(docs) == 1
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assert docs[0]["url"] == "https://fail.com"
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assert docs[0]["error"] == "timeout"
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assert docs[0]["content"] == ""
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def test_failed_urls_included(self):
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from tools.web_tools import _normalize_tavily_documents
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raw = {
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"results": [],
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"failed_urls": ["https://bad.com"],
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}
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docs = _normalize_tavily_documents(raw)
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assert len(docs) == 1
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assert docs[0]["url"] == "https://bad.com"
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assert docs[0]["error"] == "extraction failed"
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def test_fallback_url(self):
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from tools.web_tools import _normalize_tavily_documents
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raw = {"results": [{"content": "data"}]}
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docs = _normalize_tavily_documents(raw, fallback_url="https://fallback.com")
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assert docs[0]["url"] == "https://fallback.com"
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# ─── web_search_tool (Tavily dispatch) ────────────────────────────────────────
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class TestWebSearchTavily:
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"""Test web_search_tool dispatch to Tavily."""
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_register_providers = staticmethod(register_all_web_providers)
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@pytest.fixture(autouse=True)
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def _populate_web_registry(self):
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self._register_providers()
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yield
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from agent.web_search_registry import _reset_for_tests
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_reset_for_tests()
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def test_search_dispatches_to_tavily(self):
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"results": [{"title": "Result", "url": "https://r.com", "content": "desc", "score": 0.9}]
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}
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mock_response.raise_for_status = MagicMock()
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with patch("tools.web_tools._get_backend", return_value="tavily"), \
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patch.dict(os.environ, {"TAVILY_API_KEY": "tvly-test"}), \
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patch("tools.web_tools.httpx.post", return_value=mock_response), \
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patch("tools.interrupt.is_interrupted", return_value=False):
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from tools.web_tools import web_search_tool
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result = json.loads(web_search_tool("test query", limit=3))
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assert result["success"] is True
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assert len(result["data"]["web"]) == 1
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assert result["data"]["web"][0]["title"] == "Result"
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# ─── web_extract_tool (Tavily dispatch) ───────────────────────────────────────
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class TestWebExtractTavily:
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"""Test web_extract_tool dispatch to Tavily."""
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_register_providers = staticmethod(register_all_web_providers)
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@pytest.fixture(autouse=True)
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def _populate_web_registry(self):
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self._register_providers()
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yield
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from agent.web_search_registry import _reset_for_tests
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_reset_for_tests()
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def test_extract_dispatches_to_tavily(self):
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"results": [{"url": "https://example.com", "raw_content": "Extracted content", "title": "Page"}]
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}
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mock_response.raise_for_status = MagicMock()
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with patch("tools.web_tools._get_backend", return_value="tavily"), \
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patch.dict(os.environ, {"TAVILY_API_KEY": "tvly-test"}), \
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patch("tools.web_tools.httpx.post", return_value=mock_response):
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from tools.web_tools import web_extract_tool
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result = json.loads(asyncio.get_event_loop().run_until_complete(
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web_extract_tool(["https://example.com"])
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))
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assert "results" in result
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assert len(result["results"]) == 1
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assert result["results"][0]["url"] == "https://example.com"
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assert "Extracted content" in result["results"][0]["content"]
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