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fdb6a44245
- Hide links to internal code listings, and link to github instead - Improve formatting of code/example captions - Fix outdated documentation of command-line options - Complete documentation of all events + improved formatting - tcp_open -> tcp_start, tcp_close -> tcp_end to reduce confusion
80 lines
3.0 KiB
ReStructuredText
80 lines
3.0 KiB
ReStructuredText
.. _overview:
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Overview
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=========
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Mitmproxy has a powerful scripting API that allows you to control almost any
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aspect of traffic being proxied. In fact, much of mitmproxy's own core
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functionality is implemented using the exact same API exposed to scripters (see
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:src:`mitmproxy/builtins`).
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Scripting is event driven, with named handlers on the script object called at
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appropriate points of mitmproxy's operation. Here's a complete mitmproxy script
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that adds a new header to every HTTP response before it is returned to the
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client:
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.. literalinclude:: ../../examples/add_header.py
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:caption: :src:`examples/add_header.py`
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:language: python
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All events that deal with an HTTP request get an instance of
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:py:class:`~mitmproxy.models.HTTPFlow`, which we can use to manipulate the
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response itself. We can now run this script using mitmdump or mitmproxy as
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follows:
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>>> mitmdump -s add_header.py
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The new header will be added to all responses passing through the proxy.
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mitmproxy comes with a variety of example inline scripts, which demonstrate
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many basic tasks.
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Running scripts in parallel
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---------------------------
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We have a single flow primitive, so when a script is blocking, other requests are not processed.
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While that's usually a very desirable behaviour, blocking scripts can be run threaded by using the
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:py:obj:`mitmproxy.script.concurrent` decorator.
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**If your script does not block, you should avoid the overhead of the decorator.**
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.. literalinclude:: ../../examples/nonblocking.py
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:caption: examples/nonblocking.py
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:language: python
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Make scripts configurable with arguments
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----------------------------------------
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Sometimes, you want to pass runtime arguments to the inline script. This can be simply done by
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surrounding the script call with quotes, e.g. ```mitmdump -s 'script.py --foo 42'``.
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The arguments are then exposed in the start event:
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.. literalinclude:: ../../examples/modify_response_body.py
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:caption: examples/modify_response_body.py
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:language: python
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Running scripts on saved flows
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------------------------------
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Sometimes, we want to run a script on :py:class:`~mitmproxy.models.Flow` objects that are already
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complete. This happens when you start a script, and then load a saved set of flows from a file
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(see the "scripted data transformation" example :ref:`here <mitmdump>`).
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It also happens when you run a one-shot script on a single flow through the ``|`` (pipe) shortcut
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in mitmproxy.
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In this case, there are no client connections, and the events are run in the following order:
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**start**, **request**, **responseheaders**, **response**, **error**, **done**.
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If the flow doesn't have a **response** or **error** associated with it, the matching events will
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be skipped.
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Spaces in the script path
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-------------------------
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By default, spaces are interpreted as a separator between the inline script and its arguments
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(e.g. ``-s 'foo.py 42'``). Consequently, the script path needs to be wrapped in a separate pair of
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quotes if it contains spaces: ``-s '\'./foo bar/baz.py\' 42'``.
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.. _GitHub: https://github.com/mitmproxy/mitmproxy
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