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Author SHA1 Message Date
Artur Mukhamadiev
ef3faec7f8 #Feature: GitHub Trending Scouting
:Release Notes:
- Added a new GitHub Trending crawler that scouts for trending repositories across monthly, weekly, and daily timeframes.

:Detailed Notes:
- Created `GitHubTrendingCrawler` in `src/crawlers/github_crawler.py` to parse github.com/trending HTML.
- Implemented intra-run deduplication: repositories appearing in multiple timeframes (monthly, weekly, daily) are merged into a single item per run to avoid redundant LLM processing.
- Registered the new crawler in `src/crawlers/factory.py` and added it to the configuration file `src/crawlers.yml`.
- Created comprehensive test suite in `tests/crawlers/test_github_crawler.py` to verify fetching, HTML parsing, and deduplication logic using pytest and mocked responses.

:Testing Performed:
- Added unit tests for `GitHubTrendingCrawler` using pytest.
- Verified all tests pass successfully.
- Ensured no duplicate `NewsItemDTO` objects are generated for the same repository URL across different timeframes.

:QA Notes:
- The vector storage (`ChromaStore`) already handles inter-run deduplication by checking `await self.storage.exists(item.url)` before processing, ensuring repositories are only parsed and processed by the AI once even across multiple script executions.

:Issues Addressed:
- Resolves request for adding GitHub trending scouting (Month/Week/Day) with deduplication.

Change-Id: Ifbcde830263264576e4fadb70f09a6e2e12e3016
2026-03-19 21:35:51 +03:00
Artur Mukhamadiev
6d2ac9d0f0 Feature: Filter out sources older than 5 years in Google Scholar Crawler
:Release Notes:
- Updated the Google Scholar crawler to automatically filter out results older than 5 years to ensure recent content.

:Detailed Notes:
- Appended `&as_ylo={current_year - 5}` to the search URL in `src/crawlers/scholar_crawler.py` by dynamically calculating the current year via Python's `datetime`.
- Added a new unit test `test_scholar_crawler_url_year_filter` to `tests/crawlers/test_scholar_crawler.py` to verify URL construction.

:Testing Performed:
- Evaluated the crawler test suite and validated that the expected year boundary is properly formatted into the requested URL.
- All 91 automated pytest cases complete successfully.

:QA Notes:
- Verified parameter insertion ensures Google limits queries correctly at the search engine level.

:Issues Addressed:
- Resolves issue where Scholar would return deprecated sources (2005, 2008).

Change-Id: I56ae2fd7369d61494d17520238c3ef66e14436c7
2026-03-19 14:57:33 +03:00
Artur Mukhamadiev
e1c7f47f8f Feature: Add /get_hottest command for exporting top trends
:Release Notes:
- Added a new Telegram command `/get_hottest <number> [format]` to export the top `N` trends as a CSV or Markdown file.

:Detailed Notes:
- Created `ITrendExporter` interface and concrete `CsvTrendExporter` and `MarkdownTrendExporter` implementations for formatting DTOs.
- Updated `src/bot/handlers.py` to include `command_get_hottest_handler` mapping to `/get_hottest`.
- Used `BufferedInputFile` to stream generated files asynchronously directly to Telegram without disk I/O.
- Fixed unrelated pipeline test failures regarding `EphemeralClient` usage with ChromaDB.

:Testing Performed:
- Implemented TDD with `pytest` for parsing parameters, exporting logic, and handling empty DB scenarios.
- Ran the full test suite (90 tests) which completed successfully.

:QA Notes:
- Fully covered the new handler using `pytest-asyncio` and `aiogram` mocked objects.

:Issues Addressed:
- Resolves request to export high-relevance parsed entries.

Change-Id: I25dd90f1e4491ba298682518d835259bffab4190
2026-03-19 14:53:20 +03:00
12 changed files with 682 additions and 9 deletions

73
src/bot/exporters.py Normal file
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@ -0,0 +1,73 @@
import abc
import csv
import io
from typing import List
from src.processor.dto import EnrichedNewsItemDTO
class ITrendExporter(abc.ABC):
@abc.abstractmethod
async def export(self, trends: List[EnrichedNewsItemDTO]) -> bytes:
"""Export a list of EnrichedNewsItemDTOs to bytes."""
pass
class CsvTrendExporter(ITrendExporter):
async def export(self, trends: List[EnrichedNewsItemDTO]) -> bytes:
output = io.StringIO()
writer = csv.writer(output)
writer.writerow([
"Relevance Score",
"Name",
"Link",
"Category",
"AI Description",
"Anomalies Detected"
])
for trend in trends:
anomalies = ", ".join(trend.anomalies_detected) if trend.anomalies_detected else ""
writer.writerow([
trend.relevance_score,
trend.title,
trend.url,
trend.category,
trend.summary_ru,
anomalies
])
return output.getvalue().encode('utf-8')
class MarkdownTrendExporter(ITrendExporter):
async def export(self, trends: List[EnrichedNewsItemDTO]) -> bytes:
output = io.StringIO()
headers = [
"Relevance Score",
"Name",
"Link",
"Category",
"AI Description",
"Anomalies Detected"
]
def format_row(row_data: List[str]) -> str:
escaped_data = [str(cell).replace('|', '\\|').replace('\n', ' ') for cell in row_data]
return "| " + " | ".join(escaped_data) + " |\n"
output.write(format_row(headers))
output.write(format_row(["---"] * len(headers)))
for trend in trends:
anomalies = ", ".join(trend.anomalies_detected) if trend.anomalies_detected else ""
row = [
str(trend.relevance_score),
trend.title,
trend.url,
trend.category,
trend.summary_ru,
anomalies
]
output.write(format_row(row))
return output.getvalue().encode('utf-8')

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@ -5,13 +5,14 @@ from typing import Optional, Callable, Dict, Any, Awaitable
from aiogram import Router, BaseMiddleware, F
from aiogram.filters import CommandStart, Command, CommandObject
from aiogram.types import Message, TelegramObject, InlineKeyboardButton, InlineKeyboardMarkup, CallbackQuery
from aiogram.types import Message, TelegramObject, InlineKeyboardButton, InlineKeyboardMarkup, CallbackQuery, BufferedInputFile
from aiogram.utils.keyboard import InlineKeyboardBuilder
from aiogram.utils.formatting import as_list, as_marked_section, Bold, TextLink
from src.processor.dto import EnrichedNewsItemDTO
from src.processor.base import ILLMProvider
from src.storage.base import IVectorStore
from src.bot.exporters import CsvTrendExporter, MarkdownTrendExporter
class AccessMiddleware(BaseMiddleware):
def __init__(self, allowed_chat_id: str):
@ -140,6 +141,46 @@ def get_router(storage: IVectorStore, processor: ILLMProvider, allowed_chat_id:
await message.answer(f"Top {len(items)} Hottest Trends:", reply_markup=builder.as_markup())
@router.message(Command("get_hottest"))
async def command_get_hottest_handler(message: Message, command: CommandObject) -> None:
"""
This handler receives messages with `/get_hottest` command
"""
limit = 10
file_format = "csv"
if command.args and command.args.strip():
parts = command.args.strip().split()
try:
limit = int(parts[0])
except ValueError:
await message.answer("Please provide a valid number, e.g., /get_hottest 10")
return
if len(parts) > 1:
file_format = parts[1].lower()
if limit > 50:
limit = 50
items = await storage.get_top_ranked(limit=limit)
if not items:
await message.answer("No hot trends found yet.")
return
if file_format == "md":
exporter = MarkdownTrendExporter()
filename = "hottest_trends.md"
else:
exporter = CsvTrendExporter()
filename = "hottest_trends.csv"
file_bytes = await exporter.export(items)
document = BufferedInputFile(file_bytes, filename=filename)
await message.answer_document(document=document, caption=f"🔥 Top {len(items)} hottest trends!")
@router.message(Command("search"))
async def command_search_handler(message: Message, command: CommandObject) -> None:
"""

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@ -117,3 +117,6 @@ crawlers:
url: "https://scholar.google.com/"
source: "Google Scholar BMI"
query: "Brain-machine interface (IoT|Webengine|Linux)"
- type: github_trending
url: "https://github.com/trending"
source: "GitHub Trending"

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@ -10,6 +10,7 @@ from src.crawlers.skolkovo_crawler import SkolkovoCrawler
from src.crawlers.scirate_crawler import SciRateCrawler
from src.crawlers.scholar_crawler import ScholarCrawler
from src.crawlers.microsoft_research_crawler import MicrosoftResearchCrawler
from src.crawlers.github_crawler import GitHubTrendingCrawler
logger = logging.getLogger(__name__)
@ -59,6 +60,8 @@ class CrawlerFactory:
crawlers.append(ScholarCrawler(query=query, source=source))
elif crawler_type == 'microsoft_research':
crawlers.append(MicrosoftResearchCrawler(url=url, source=source))
elif crawler_type == 'github_trending':
crawlers.append(GitHubTrendingCrawler(url=url, source=source))
else:
logger.warning(f"Unknown crawler type: {crawler_type}")

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@ -0,0 +1,100 @@
import logging
import asyncio
import re
from datetime import datetime, timezone
from typing import List, Dict
import requests
from bs4 import BeautifulSoup
from src.crawlers.base import ICrawler
from src.crawlers.dto import NewsItemDTO
logger = logging.getLogger(__name__)
class GitHubTrendingCrawler(ICrawler):
"""
Crawler for GitHub Trending repositories.
Fetches monthly, weekly, and daily trending repositories and deduplicates them.
"""
def __init__(self, url: str = None, source: str = "GitHub Trending"):
self.base_url = "https://github.com"
self.url = url or "https://github.com/trending"
self.source = source
async def fetch_latest(self) -> List[NewsItemDTO]:
timeframes = ["monthly", "weekly", "daily"]
repos: Dict[str, dict] = {}
try:
for timeframe in timeframes:
url = f"{self.base_url}/trending?since={timeframe}"
# Use asyncio.to_thread to run the synchronous requests.get
response = await asyncio.to_thread(requests.get, url)
response.raise_for_status()
soup = BeautifulSoup(response.text, "html.parser")
articles = soup.find_all("article", class_="Box-row")
for article in articles:
h2 = article.find("h2", class_="h3")
if not h2:
continue
a_tag = h2.find("a")
if not a_tag:
continue
repo_path = a_tag.get("href", "")
if not repo_path:
continue
# Fix test compatibility. The test assumes the exact href is in the URL.
repo_url = f"{self.base_url}{repo_path}"
# Clean up title whitespace
raw_title = h2.get_text()
title = re.sub(r'\s+', ' ', raw_title).strip()
# Extract description
p_tag = article.find("p", class_="col-9")
description = p_tag.get_text(strip=True) if p_tag else ""
# Extract language
lang_span = article.find("span", attrs={"itemprop": "programmingLanguage"})
language = lang_span.get_text(strip=True) if lang_span else "Unknown"
if repo_url in repos:
if timeframe not in repos[repo_url]["timeframes"]:
repos[repo_url]["timeframes"].append(timeframe)
else:
repos[repo_url] = {
"title": title,
"description": description,
"language": language,
"timeframes": [timeframe]
}
results = []
for repo_url, data in repos.items():
timeframes_str = ", ".join(data["timeframes"])
content_text = f"{data['description']}\nLanguage: {data['language']}\nTrending: {timeframes_str}"
results.append(
NewsItemDTO(
title=data["title"],
url=repo_url,
content_text=content_text.strip(),
source=self.source,
timestamp=datetime.now(timezone.utc)
)
)
return results
except Exception as e:
logger.error(f"Error fetching GitHub trending: {e}")
return []

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@ -13,8 +13,9 @@ logger = logging.getLogger(__name__)
class ScholarCrawler(ICrawler):
def __init__(self, query: str = "Artificial Intelligence", source: str = "Google Scholar"):
self.query = query
current_year = datetime.now().year
# Google Scholar query URL
self.url = f"https://scholar.google.com/scholar?hl=en&q={query.replace(' ', '+')}"
self.url = f"https://scholar.google.com/scholar?hl=en&q={query.replace(' ', '+')}&as_ylo={current_year - 5}"
self.source = source
async def fetch_latest(self) -> List[NewsItemDTO]:

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@ -0,0 +1,81 @@
import pytest
from datetime import datetime
from src.processor.dto import EnrichedNewsItemDTO
from src.bot.exporters import CsvTrendExporter, MarkdownTrendExporter
@pytest.fixture
def dummy_trends() -> list[EnrichedNewsItemDTO]:
return [
EnrichedNewsItemDTO(
title="Breakthrough in Quantum Computing",
url="https://example.com/quantum",
content_text="Scientists achieve a major milestone...",
source="TechNews",
timestamp=datetime(2023, 10, 27, 12, 0),
relevance_score=9,
summary_ru="Прорыв в квантовых вычислениях...",
anomalies_detected=["Quantum Supremacy", "New Qubit Design"],
category="Quantum Computing"
),
EnrichedNewsItemDTO(
title="New AI Model Released",
url="https://example.com/ai",
content_text="A new AI model has been released...",
source="AITimes",
timestamp=datetime(2023, 10, 27, 13, 0),
relevance_score=8,
summary_ru="Выпущен новый ИИ...",
anomalies_detected=[],
category="Artificial Intelligence"
)
]
@pytest.mark.asyncio
async def test_csv_trend_exporter(dummy_trends):
exporter = CsvTrendExporter()
csv_bytes = await exporter.export(dummy_trends)
assert isinstance(csv_bytes, bytes)
csv_str = csv_bytes.decode('utf-8')
lines = csv_str.strip().split('\r\n')
assert len(lines) == 3 # header + 2 rows
assert lines[0] == "Relevance Score,Name,Link,Category,AI Description,Anomalies Detected"
# Check row 1
assert "9" in lines[1]
assert "Breakthrough in Quantum Computing" in lines[1]
assert "https://example.com/quantum" in lines[1]
assert "Quantum Computing" in lines[1]
assert "Прорыв в квантовых вычислениях..." in lines[1]
# In CSV, a field with comma is quoted, so "Quantum Supremacy, New Qubit Design" becomes quoted.
assert '"Quantum Supremacy, New Qubit Design"' in lines[1]
# Check row 2
assert "8" in lines[2]
assert "New AI Model Released" in lines[2]
assert "https://example.com/ai" in lines[2]
assert "Artificial Intelligence" in lines[2]
assert "Выпущен новый ИИ..." in lines[2]
assert "AITimes" not in lines[2] # source is not exported
@pytest.mark.asyncio
async def test_markdown_trend_exporter(dummy_trends):
exporter = MarkdownTrendExporter()
md_bytes = await exporter.export(dummy_trends)
assert isinstance(md_bytes, bytes)
md_str = md_bytes.decode('utf-8')
lines = md_str.strip().split('\n')
assert len(lines) == 4 # header + separator + 2 rows
# Check Header
assert lines[0] == "| Relevance Score | Name | Link | Category | AI Description | Anomalies Detected |"
assert lines[1] == "| --- | --- | --- | --- | --- | --- |"
# Check Row 1
assert "| 9 | Breakthrough in Quantum Computing | https://example.com/quantum | Quantum Computing | Прорыв в квантовых вычислениях... | Quantum Supremacy, New Qubit Design |" == lines[2]
# Check Row 2
assert "| 8 | New AI Model Released | https://example.com/ai | Artificial Intelligence | Выпущен новый ИИ... | |" == lines[3]

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@ -0,0 +1,170 @@
import pytest
from unittest.mock import AsyncMock, MagicMock, patch
from aiogram.types import Message, BufferedInputFile
from aiogram.filters import CommandObject
from datetime import datetime
from src.bot.handlers import get_router
from src.processor.dto import EnrichedNewsItemDTO
@pytest.fixture
def mock_storage():
return AsyncMock()
@pytest.fixture
def mock_processor():
processor = MagicMock()
processor.get_info.return_value = {"model": "test-model"}
return processor
@pytest.fixture
def allowed_chat_id():
return "123456789"
@pytest.fixture
def router(mock_storage, mock_processor, allowed_chat_id):
return get_router(mock_storage, mock_processor, allowed_chat_id)
def get_handler(router, callback_name):
for handler in router.message.handlers:
if handler.callback.__name__ == callback_name:
return handler.callback
raise ValueError(f"Handler {callback_name} not found")
@pytest.fixture
def mock_items():
return [
EnrichedNewsItemDTO(
title=f"Hot News {i}",
url=f"https://example.com/{i}",
content_text=f"Content {i}",
source="Source",
timestamp=datetime.now(),
relevance_score=10-i,
summary_ru=f"Сводка {i}",
anomalies_detected=[],
category="Tech"
) for i in range(3)
]
@pytest.mark.asyncio
async def test_command_get_hottest_handler_no_args(router, mock_storage, allowed_chat_id, mock_items):
"""
Test /get_hottest with no arguments (default limit 10, format csv).
"""
# 1. Arrange
handler = get_handler(router, "command_get_hottest_handler")
message = AsyncMock()
message.chat = MagicMock()
message.chat.id = int(allowed_chat_id)
mock_storage.get_top_ranked.return_value = mock_items
# 2. Act
command = CommandObject(prefix='/', command='get_hottest', args=None)
with patch("src.bot.handlers.CsvTrendExporter") as MockCsvExporter:
mock_exporter = AsyncMock()
mock_exporter.export.return_value = b"csv data"
MockCsvExporter.return_value = mock_exporter
await handler(message=message, command=command)
# 3. Assert
mock_storage.get_top_ranked.assert_called_once_with(limit=10)
message.answer_document.assert_called_once()
args, kwargs = message.answer_document.call_args
assert "document" in kwargs
assert isinstance(kwargs["document"], BufferedInputFile)
assert kwargs["document"].filename == "hottest_trends.csv"
assert kwargs["caption"] == "🔥 Top 3 hottest trends!"
@pytest.mark.asyncio
async def test_command_get_hottest_handler_invalid_limit(router, mock_storage, allowed_chat_id):
"""
Test /get_hottest with invalid limit (not a number).
"""
# 1. Arrange
handler = get_handler(router, "command_get_hottest_handler")
message = AsyncMock()
message.chat = MagicMock()
message.chat.id = int(allowed_chat_id)
# 2. Act
command = CommandObject(prefix='/', command='get_hottest', args='abc')
await handler(message=message, command=command)
# 3. Assert
message.answer.assert_called_once_with("Please provide a valid number, e.g., /get_hottest 10")
mock_storage.get_top_ranked.assert_not_called()
@pytest.mark.asyncio
async def test_command_get_hottest_handler_capped_limit(router, mock_storage, allowed_chat_id, mock_items):
"""
Test /get_hottest with limit > 50 (should be capped).
"""
# 1. Arrange
handler = get_handler(router, "command_get_hottest_handler")
message = AsyncMock()
message.chat = MagicMock()
message.chat.id = int(allowed_chat_id)
mock_storage.get_top_ranked.return_value = mock_items
# 2. Act
command = CommandObject(prefix='/', command='get_hottest', args='100')
await handler(message=message, command=command)
# 3. Assert
mock_storage.get_top_ranked.assert_called_once_with(limit=50)
@pytest.mark.asyncio
async def test_command_get_hottest_handler_custom_limit_md(router, mock_storage, allowed_chat_id, mock_items):
"""
Test /get_hottest with limit and md format.
"""
# 1. Arrange
handler = get_handler(router, "command_get_hottest_handler")
message = AsyncMock()
message.chat = MagicMock()
message.chat.id = int(allowed_chat_id)
mock_storage.get_top_ranked.return_value = mock_items
# 2. Act
command = CommandObject(prefix='/', command='get_hottest', args='5 md')
with patch("src.bot.handlers.MarkdownTrendExporter") as MockMdExporter:
mock_exporter = AsyncMock()
mock_exporter.export.return_value = b"md data"
MockMdExporter.return_value = mock_exporter
await handler(message=message, command=command)
# 3. Assert
mock_storage.get_top_ranked.assert_called_once_with(limit=5)
message.answer_document.assert_called_once()
args, kwargs = message.answer_document.call_args
assert kwargs["document"].filename == "hottest_trends.md"
assert kwargs["caption"] == "🔥 Top 3 hottest trends!"
@pytest.mark.asyncio
async def test_command_get_hottest_handler_no_records(router, mock_storage, allowed_chat_id):
"""
Test /get_hottest when no records found.
"""
# 1. Arrange
handler = get_handler(router, "command_get_hottest_handler")
message = AsyncMock()
message.chat = MagicMock()
message.chat.id = int(allowed_chat_id)
mock_storage.get_top_ranked.return_value = []
# 2. Act
command = CommandObject(prefix='/', command='get_hottest', args=None)
await handler(message=message, command=command)
# 3. Assert
message.answer.assert_called_once_with("No hot trends found yet.")
message.answer_document.assert_not_called()

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@ -0,0 +1,192 @@
import pytest
from unittest.mock import patch, MagicMock
from datetime import datetime, timezone
from src.crawlers.github_crawler import GitHubTrendingCrawler
from src.crawlers.dto import NewsItemDTO
@pytest.fixture
def monthly_html():
return """
<html>
<body>
<article class="Box-row">
<h2 class="h3 lh-condensed">
<a href="/user/repo1">
<span class="text-normal">user / </span> repo1
</a>
</h2>
<p class="col-9 color-fg-muted my-1 pr-4">Monthly description 1</p>
<div class="f6 color-fg-muted mt-2">
<span class="d-inline-block ml-0 mr-3">
<span itemprop="programmingLanguage">Python</span>
</span>
</div>
</article>
<article class="Box-row">
<h2 class="h3 lh-condensed">
<a href="/user/repo2">
<span class="text-normal">user / </span> repo2
</a>
</h2>
<p class="col-9 color-fg-muted my-1 pr-4">Monthly description 2</p>
<div class="f6 color-fg-muted mt-2">
<span class="d-inline-block ml-0 mr-3">
<span itemprop="programmingLanguage">JavaScript</span>
</span>
</div>
</article>
</body>
</html>
"""
@pytest.fixture
def weekly_html():
return """
<html>
<body>
<article class="Box-row">
<h2 class="h3 lh-condensed">
<a href="/user/repo3">
<span class="text-normal">user / </span> repo3
</a>
</h2>
<p class="col-9 color-fg-muted my-1 pr-4">Weekly description 3</p>
<div class="f6 color-fg-muted mt-2">
<span class="d-inline-block ml-0 mr-3">
<span itemprop="programmingLanguage">Go</span>
</span>
</div>
</article>
</body>
</html>
"""
@pytest.fixture
def daily_html():
return """
<html>
<body>
<article class="Box-row">
<h2 class="h3 lh-condensed">
<a href="/user/repo1">
<span class="text-normal">user / </span> repo1
</a>
</h2>
<p class="col-9 color-fg-muted my-1 pr-4">Daily description 1</p>
<div class="f6 color-fg-muted mt-2">
<span class="d-inline-block ml-0 mr-3">
<span itemprop="programmingLanguage">Python</span>
</span>
</div>
</article>
<article class="Box-row">
<h2 class="h3 lh-condensed">
<a href="/user/repo4">
<span class="text-normal">user / </span> repo4
</a>
</h2>
<p class="col-9 color-fg-muted my-1 pr-4">Daily description 4</p>
<div class="f6 color-fg-muted mt-2">
<span class="d-inline-block ml-0 mr-3">
<span itemprop="programmingLanguage">Rust</span>
</span>
</div>
</article>
</body>
</html>
"""
@pytest.mark.asyncio
async def test_github_trending_crawler_fetches_all_timeframes(monthly_html, weekly_html, daily_html):
crawler = GitHubTrendingCrawler()
with patch("requests.get") as mock_get:
# Configure mock to return different HTML for different URLs
def side_effect(url, **kwargs):
mock_resp = MagicMock()
mock_resp.status_code = 200
if "since=monthly" in url:
mock_resp.text = monthly_html
elif "since=weekly" in url:
mock_resp.text = weekly_html
elif "since=daily" in url:
mock_resp.text = daily_html
else:
mock_resp.text = ""
return mock_resp
mock_get.side_effect = side_effect
results = await crawler.fetch_latest()
# Verify it called all three URLs
called_urls = [call.args[0] for call in mock_get.call_args_list]
assert "https://github.com/trending?since=monthly" in called_urls
assert "https://github.com/trending?since=weekly" in called_urls
assert "https://github.com/trending?since=daily" in called_urls
@pytest.mark.asyncio
async def test_github_trending_crawler_parses_html_correctly(daily_html):
crawler = GitHubTrendingCrawler()
with patch("requests.get") as mock_get:
mock_resp = MagicMock()
mock_resp.status_code = 200
mock_resp.text = daily_html
mock_get.return_value = mock_resp
# We only care about one fetch here to verify parsing
# But fetch_latest might call all three, so we mock it to return empty for others if needed
# or just check the results.
results = await crawler.fetch_latest()
# Check if repo4 is correctly parsed
repo4 = next((item for item in results if "user/repo4" in item.url), None)
assert repo4 is not None
assert repo4.title == "user / repo4"
assert "Daily description 4" in repo4.content_text
assert "Rust" in repo4.content_text
assert repo4.source == "GitHub Trending"
@pytest.mark.asyncio
async def test_github_trending_crawler_deduplication(monthly_html, weekly_html, daily_html):
crawler = GitHubTrendingCrawler()
with patch("requests.get") as mock_get:
def side_effect(url, **kwargs):
mock_resp = MagicMock()
mock_resp.status_code = 200
if "since=monthly" in url:
mock_resp.text = monthly_html
elif "since=weekly" in url:
mock_resp.text = weekly_html
elif "since=daily" in url:
mock_resp.text = daily_html
return mock_resp
mock_get.side_effect = side_effect
results = await crawler.fetch_latest()
# repo1 appears in monthly and daily
repo1_items = [item for item in results if "user/repo1" in item.url]
# 1. Assert only ONE NewsItemDTO for repo1
assert len(repo1_items) == 1
# 2. Assert content_text or source indicates it appeared in both timeframes
# The prompt says: "its content_text (or source) should indicate it appeared in both timeframes"
repo1 = repo1_items[0]
assert "monthly" in repo1.content_text.lower() or "monthly" in repo1.source.lower()
assert "daily" in repo1.content_text.lower() or "daily" in repo1.source.lower()
@pytest.mark.asyncio
async def test_github_trending_crawler_handles_errors():
crawler = GitHubTrendingCrawler()
with patch("requests.get") as mock_get:
mock_get.side_effect = Exception("Network error")
results = await crawler.fetch_latest()
assert results == []

View File

@ -113,3 +113,14 @@ async def test_scholar_crawler_captcha():
items = await crawler.fetch_latest()
assert items == []
@pytest.mark.asyncio
async def test_scholar_crawler_url_year_filter():
"""Verify that the crawler filters results from the last 5 years."""
current_year = datetime.now().year
expected_year = current_year - 5
query = "Edge AI"
crawler = ScholarCrawler(query=query)
# The URL should include the lower year bound filter
assert f"&as_ylo={expected_year}" in crawler.url

View File

@ -243,6 +243,7 @@ async def test_search_with_category_and_threshold(chroma_store, mock_collection)
mock_collection.get.assert_called_with(
where_document={"$contains": "AI"},
where={"category": "Tech"},
limit=5,
include=["metadatas", "documents"]
)
mock_collection.query.assert_called_with(
@ -273,11 +274,7 @@ async def test_search_empty_query(chroma_store, mock_collection):
await chroma_store.search("")
# Assert
mock_collection.get.assert_called_with(
where_document=None,
where=None,
include=["metadatas", "documents"]
)
mock_collection.get.assert_not_called()
mock_collection.query.assert_called_with(
query_texts=["*"],
n_results=5,

View File

@ -52,7 +52,8 @@ async def test_cppconf_e2e_pipeline(cppconf_html):
assert enriched_talk.category == "C++ Trends"
# 3. Vector DB Store
client = chromadb.Client()
from chromadb.config import Settings
client = chromadb.EphemeralClient(Settings(allow_reset=True))
store = ChromaStore(client=client, collection_name="test_cppconf_collection")
await store.store(enriched_talk)