JiriUhlirandClaude Opus 5
156289fe2d
Sluzba prijme adresu HTML dokumentu nebo HTML v tele requestu a vrati PDF. Navrzena pro dokumenty o stovkach az tisicich stranek. Rendering: - WeasyPrint jako vychozi engine, spravne CSS Paged Media, nizka pametova narocnost, bez JavaScriptu - Chromium pres Playwright pro dokumenty dokreslovane skripty - rezim auto s detekci skriptu a fallbackem pri selhani WeasyPrintu Velke dokumenty: - deleni na casti na strukturalnich hranicich, rez nikdy uvnitr tabulky nebo odstavce - dvoupruchodovy render obsahu se skutecnymi cisly stranek, pozice nadpisu se ctou z kotev hlasenych u kazde stranky - cislovani stranek bud pres CSS countery, nebo pres cislovaci vrstvu nastampovanou na hotove PDF, rozmer stranky se cte z vysledneho souboru - Chromium se restartuje po N jobech, nikdy vsak behem beziciho renderu API: - POST /convert synchronne, POST /jobs asynchronne se sledovanim stavu, stahovanim vysledku, rusenim a volitelnym callbackem - GET /health s overenim dostupnosti obou enginu a stavem fronty - OpenAPI respektuje prefix reverse proxy pres root_path Bezpecnost a provoz: - SSRF kontrola po DNS resolvu, na kazdem presmerovani a u vsech pozadavku prohlizece - nedostupne assety render nezastavi, ale hlasi se v odpovedi i v logu - fronta s omezenym poctem workeru, rozpracovane joby se pri ukonceni oznaci jako failed, nezmizi potichu - strukturovane JSON logovani s job_id - vsechny limity vypnute ve vychozim stavu Dockerfile je dvoufazovy, obsahuje zavislosti WeasyPrintu, Chromium a fonty s ceskou diakritikou. Autentizace zamerne neni implementovana, zpusob predavani neni domluveny. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
46 lines
951 B
Python
46 lines
951 B
Python
"""Application container.
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Built once during startup and read by the routers. Keeping it here avoids
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importing the FastAPI app from the routers.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from .config import Settings
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from .services.jobs import JobManager
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from .services.pipeline import ConversionPipeline
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from .services.storage import Storage
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@dataclass
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class Container:
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settings: Settings
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storage: Storage
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pipeline: ConversionPipeline
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jobs: JobManager
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engines: dict
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_container: Container | None = None
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def set_container(container: Container) -> None:
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global _container
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_container = container
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def get_container() -> Container:
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if _container is None:
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raise RuntimeError("Aplikace jeste nebyla inicializovana.")
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return _container
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def get_jobs() -> JobManager:
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return get_container().jobs
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def get_settings_dep() -> Settings:
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return get_container().settings
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