CurlMulti Object

CurlMulti objects have the following methods:

close() -> None

Corresponds to
curl_multi_cleanup() in libcurl.
This method is automatically called by pycurl when a CurlMulti object no
longer has any references to it, but can also be called
explicitly.

perform() -> tuple of status and the number of active Curl objects

Corresponds to
curl_multi_perform() in libcurl.

add_handle(Curl object) -> None

Corresponds to
curl_multi_add_handle() in libcurl.
This method adds an existing and valid Curl object to the CurlMulti
object.

IMPORTANT NOTE: add_handle does not implicitly add a Python reference
to the Curl object (and thus does not increase the reference count on the Curl
object).

remove_handle(Curl object) -> None

Corresponds to
curl_multi_remove_handle() in libcurl.
This method removes an existing and valid Curl object from the CurlMulti
object.

IMPORTANT NOTE: remove_handle does not implicitly remove a Python reference
from the Curl object (and thus does not decrease the reference count on the Curl
object).

fdset() ->
triple of lists with active file descriptors,
readable, writeable, exceptions.

Corresponds to
curl_multi_fdset() in libcurl.
This method extracts the file descriptor information from a CurlMulti object.
The returned lists can be used with the select module to
poll for events.

Example usage:

import pycurl
c = pycurl.Curl()
c.setopt(pycurl.URL, "http://curl.haxx.se")
m = pycurl.CurlMulti()
m.add_handle(c)
while 1:
    ret, num_handles = m.perform()
    if ret != pycurl.E_CALL_MULTI_PERFORM: break
while num_handles:
    apply(select.select, m.fdset() + (1,))
    while 1:
        ret, num_handles = m.perform()
        if ret != pycurl.E_CALL_MULTI_PERFORM: break

select(timeout) ->
number of ready file descriptors or -1 on timeout

This is a convenience function which simplifies the combined
use of fdset() and the select module.

Example usage:

import pycurl
c = pycurl.Curl()
c.setopt(pycurl.URL, "http://curl.haxx.se")
m = pycurl.CurlMulti()
m.add_handle(c)
while 1:
    ret, num_handles = m.perform()
    if ret != pycurl.E_CALL_MULTI_PERFORM: break
while num_handles:
    ret = m.select(1.0)
    if ret == -1:  continue
    while 1:
        ret, num_handles = m.perform()
        if ret != pycurl.E_CALL_MULTI_PERFORM: break

info_read([max]) ->
numberof queued messages, a list of successful objects, a list of
failed objects

Corresponds to the
curl_multi_info_read() function in libcurl.
This method extracts at most max messages
from the multi stack and returns them in two lists. The first
list contains the handles which completed successfully and the second
list contains a tuple <curl object, curl error number, curl
error message> for each failed curl object. The number
of queued messages after this method has been called is also
returned.