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Nicolas
2024-04-15 17:01:47 -04:00
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintainted in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
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FROM python:3.11-slim
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV PIP_DISABLE_PIP_VERSION_CHECK=1
RUN apt-get update && apt-get install -y --no-install-recommends \
gcc \
libstdc++6
WORKDIR /app
# Install Python dependencies
COPY requirements.txt ./
# Remove py which is pulled in by retry, py is not needed and is a CVE
RUN pip install --no-cache-dir --upgrade -r requirements.txt && \
pip uninstall -y py && \
playwright install chromium && playwright install-deps chromium && \
ln -s /usr/local/bin/supervisord /usr/bin/supervisord
# Cleanup for CVEs and size reduction
# https://github.com/tornadoweb/tornado/issues/3107
# xserver-common and xvfb included by playwright installation but not needed after
# perl-base is part of the base Python Debian image but not needed for Danswer functionality
# perl-base could only be removed with --allow-remove-essential
COPY . ./
EXPOSE $PORT
# run fast api hypercorn
CMD hypercorn main:app --bind [::]:$PORT
# CMD ["hypercorn", "main:app", "--bind", "[::]:$PORT"]
# CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port $PORT"]
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from fastapi import FastAPI, Response
from playwright.async_api import async_playwright
import os
from fastapi.responses import JSONResponse
from pydantic import BaseModel
app = FastAPI()
from pydantic import BaseModel
class UrlModel(BaseModel):
url: str
@app.post("/html") # Kept as POST to accept body parameters
async def root(body: UrlModel): # Using Pydantic model for request body
async with async_playwright() as p:
browser = await p.chromium.launch()
context = await browser.new_context()
page = await context.new_page()
await page.goto(body.url) # Adjusted to use the url from the request body model
page_content = await page.content() # Get the HTML content of the page
await browser.close()
json_compatible_item_data = {"content": page_content}
return JSONResponse(content=json_compatible_item_data)
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hypercorn==0.16.0
fastapi==0.110.0
playwright==1.42.0
uvicorn
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3.11