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httptools is a Python binding for the nodejs HTTP parser.
The package is available on PyPI: `pip install httptools`.
# APIs
httptools contains two classes `httptools.HttpRequestParser`,
`httptools.HttpResponseParser` and a function for parsing URLs
`httptools.parse_url`. See unittests for examples.
```python
class HttpRequestParser:
def __init__(self, protocol):
"""HttpRequestParser
protocol -- a Python object with the following methods
(all optional):
- on_message_begin()
- on_url(url: bytes)
- on_header(name: bytes, value: bytes)
- on_headers_complete()
- on_body(body: bytes)
- on_message_complete()
- on_chunk_header()
- on_chunk_complete()
- on_status(status: bytes)
"""
def get_http_version(self) -> str:
"""Return an HTTP protocol version."""
def should_keep_alive(self) -> bool:
"""Return ``True`` if keep-alive mode is preferred."""
def should_upgrade(self) -> bool:
"""Return ``True`` if the parsed request is a valid Upgrade request.
The method exposes a flag set just before on_headers_complete.
Calling this method earlier will only yield `False`.
"""
def feed_data(self, data: bytes):
"""Feed data to the parser.
Will eventually trigger callbacks on the ``protocol``
object.
On HTTP upgrade, this method will raise an
``HttpParserUpgrade`` exception, with its sole argument
set to the offset of the non-HTTP data in ``data``.
"""
def get_method(self) -> bytes:
"""Return HTTP request method (GET, HEAD, etc)"""
class HttpResponseParser:
"""Has all methods except ``get_method()`` that
HttpRequestParser has."""
def get_status_code(self) -> int:
"""Return the status code of the HTTP response"""
def parse_url(url: bytes):
"""Parse URL strings into a structured Python object.
Returns an instance of ``httptools.URL`` class with the
following attributes:
- schema: bytes
- host: bytes
- port: int
- path: bytes
- query: bytes
- fragment: bytes
- userinfo: bytes
"""
```
# Development
1. Clone this repository with
`git clone --recursive git@github.com:MagicStack/httptools.git`
2. Create a virtual environment with Python 3.5:
`python3.5 -m venv envname`
3. Activate the environment with `source envname/bin/activate`
4. Install Cython with `pip install cython`
5. Run `make` and `make test`.
# License
MIT.
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