Vishesh 'ironeagle' Bangotra
650d3a19e8
Squash-merge lib-standardisation: adopt repo standards across packaging, tooling, docs, and CI. - standardize pyproject.toml (canonical packaging, lint config, extras, GSDFC pydoclint) - add py.typed marker, modernize type hints and Google-style docstrings - nest generated docs under docs/lib and docs/mcp; add hand-written wiki - adopt standard Type A PyPI CI pipeline (tag==version guard + quality gate) - promote generated CHANGELOG.md; bump version to 0.0.3
64 lines
2.2 KiB
Markdown
64 lines
2.2 KiB
Markdown
# 📄 OmniRead — Format-Agnostic Content Acquisition and Parsing
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`OmniRead` is a composable content ingestion framework with pluggable scrapers
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and parsers for HTML, PDF, CSV, and XLSX. It cleanly separates fetching
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(I/O) from interpretation (parsing) through a canonical `Content` exchange
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model, giving each format its own scraper and parser while sharing one
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uniform pipeline.
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> **Doc model:** this wiki is written for humans — how‑to guides, examples,
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> and extension recipes. The authoritative API contracts live in the code
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> (GSDFC docstrings) and the machine‑readable bundle under `docs/mcp/`.
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---
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## 🚀 Key Features
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* 🧱 **Content/Scraper/Parser architecture** — fetch and interpret in
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independent, testable layers
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* 📄 **Canonical `Content` model** — raw bytes + metadata passed between all
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layers via one dataclass
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* 🌐 **HTML** — HTTP-based scraper with httpx; DOM parsing via BeautifulSoup
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* 📕 **PDF** — client + scraper for raw PDF bytes; user-defined parsers
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* 📊 **CSV** — standard-library CSV parser over `rows()` iterator
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* 📑 **XLSX** — openpyxl-backed spreadsheet parser with sheet selection,
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empty-row control, and ISO date conversion
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---
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## ⚡ Quick Start
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```python
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from omniread import HTMLScraper, HTMLParser
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class TitleParser(HTMLParser[str]):
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def parse(self) -> str:
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return self._soup.title.string
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content = HTMLScraper().fetch("https://example.com")
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title = TitleParser(content).parse()
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assert title == "Example Domain"
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```
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---
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## 📁 Documentation Structure
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| Section | What you'll find |
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|---|---|
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| [Overview](01_overview.md) | The three-layer architecture and the `Content` model |
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| [How to Use](02_how_to_use.md) | Ready-to-run examples for HTML, PDF, CSV, and XLSX |
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| [Extending OmniRead](03_extending.md) | Subclassing scrapers, parsers, and clients |
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| [Development](04_development.md) | Setup, tests, and regenerating docs |
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---
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## 🔗 Related Resources
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* **Source Code:** [Gitea Repository](https://git.aetoskia.com/aetos/omniread)
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* **Internal PyPI:** [pip.aetoskia.com/simple/omniread](https://pip.aetoskia.com/simple/omniread)
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* **CI:** Builds and publishes tagged releases, gated on black / ruff / mypy / pytest.
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---
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© Aetoskia Internal — `omniread` 0.0.1 |