: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
- crawlers.yml appended with more google scholar topics, removed habr AI
- in LLM prompt removed C++ trends relation and changed web rendering to
web engine
- Add specialized prompt branch for research papers and SOTA detection
- Improve Russian summarization quality for technical abstracts
- Update relevance scoring to prioritize NPU/Edge AI breakthroughs
- Add README.md with project overview
- Implement crawlers for Microsoft Research, SciRate, and Google Scholar
- Use Playwright with stealth for Google Scholar anti-bot mitigation
- Update CrawlerFactory to support new research crawler types
- Add unit and integration tests for all academic sources with high coverage
- Added `StaticCrawler` for generic aiohttp+BS4 parsing.
- Added `SkolkovoCrawler` for specialized Next.js parsing of sk.ru.
- Converted ICRA 2025, RSF, CES 2025, and Telegram Addmeto to `static`.
- Converted Horizon Europe to `rss` using its native feed.
- Updated `CrawlerFactory` to support new crawler types.
- Validated changes with unit tests.
- Added CppConfCrawler using aiohttp and regex to parse Next.js JSON data, skipping the Playwright bottleneck.
- Added C++ specific prompts to OllamaProvider for trend analysis (identifying C++26, memory safety, coroutines).
- Created offline pytest fixtures and TDD unit tests for the parser.
- Created end-to-end pipeline test mapping Crawler -> AI Processor -> Vector DB.
- Move hard-coded crawlers from main.py to crawlers.yml
- Use CrawlerFactory to load configuration
- Add 9 new sources: C++ Russia, ICRA 2025, Technoprom, INNOPROM, Hannover Messe, RSF, Skolkovo, Horizon Europe, Addmeto
- Update task list
