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Version bump, doc extension, URLs to github.com/mitmproxy/*
This commit is contained in:
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@ -58,7 +58,10 @@
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<li class="nav-header">Scripting mitmproxy</li>
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<li class="nav-header">Scripting mitmproxy</li>
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$!nav("scripting/inlinescripts.html", this, state)!$
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$!nav("scripting/inlinescripts.html", this, state)!$
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$!nav("scripting/libmproxy.html", this, state)!$
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$!nav("scripting/libmproxy.html", this, state)!$
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$!nav("scripting/addingviews.html", this, state)!$
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<li class="nav-header">Hacking</li>
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$!nav("dev/testing.html", this, state)!$
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</ul>
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</ul>
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</div>
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</div>
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</div>
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</div>
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52
doc-src/dev/addingviews.html
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52
doc-src/dev/addingviews.html
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As discussed in [the Flow View section of the mitmproxy
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overview](@!urlTo("mitmproxy.html")!@), mitmproxy allows you to inspect and
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manipulate flows. When inspecting a single flow, mitmproxy uses a number of
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heuristics to show a friendly view of various content types; if mitmproxy
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cannot show a friendly view, mitmproxy defaults to a __raw__ view.
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Each content type invokes a different flow viewer to parse the data and display
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the friendly view. Users can add custom content viewers by adding a view class
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to contentview.py, discussed below.
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## Adding a new View class to contentview.py
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The content viewers used by mitmproxy to present a friendly view of various
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content types are stored in contentview.py. Reviewing this file shows a number
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of classes named ViewSomeDataType, each with the properties: __name__,
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__prompt__, and __content\_types__ and a function named __\_\_call\_\___.
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Adding a new content viewer to parse a data type is as simple as writing a new
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View class. Your new content viewer View class should have the same properties
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as the other View classes: __name__, __prompt__, and __content\_types__ and a
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__\_\_call\_\___ function to parse the content of the request/response.
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* The __name__ property should be a string describing the contents and new content viewer;
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* The __prompt__ property should be a two item tuple:
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- __1__: A string that will be used to display the new content viewer's type; and
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- __2__: A one character string that will be the hotkey used to select the new content viewer from the Flow View screen;
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* The __content\_types__ property should be a list of strings of HTTP Content\-Types that the new content viewer can parse.
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* Note that mitmproxy will use the content\_types to try and heuristically show a friendly view of content and that you can override the built-in views by populating content\_types with values for content\_types that are already parsed -- e.g. "image/png".
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After defining the __name__, __prompt__, and __content\_types__ properties of
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the class, you should write the __\_\_call\_\___ function, which will parse the
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request/response data and provide a friendly view of the data. The
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__\_\_call\_\___ function should take the following arguments: __self__,
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__hdrs__, __content__, __limit__; __hdrs__ is a ODictCaseless object containing
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the headers of the request/response; __content__ is the content of the
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request/response, and __limit__ is an integer representing the amount of data
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to display in the view window.
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The __\_\_call\_\___ function returns two values: (1) a string describing the
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parsed data; and (2) the parsed data for friendly display. The parsed data to
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be displayed should be a list of strings formatted for display. You can use
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the __\_view\_text__ function in contentview.py to format text for display.
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Alternatively, you can display content as a series of key-value pairs; to do
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so, prepare a list of lists, where each list item is a two item list -- a key
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that describes the data, and then the data itself; after preparing the list of
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lists, use the __common.format\_keyvals__ function on it to prepare it as text
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for display.
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If the new content viewer fails or throws an exception, mitmproxy will default
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to a __raw__ view.
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6
doc-src/dev/index.py
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6
doc-src/dev/index.py
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from countershape import Page
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pages = [
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Page("testing.html", "Testing"),
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# Page("addingviews.html", "Writing Content Views"),
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]
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43
doc-src/dev/testing.html
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43
doc-src/dev/testing.html
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All the mitmproxy projects strive to maintain 100% code coverage. In general,
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patches and pull requests will be declined unless they're accompanied by a
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suitable extension to the test suite.
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Our tests are written for the [nose](https://nose.readthedocs.org/en/latest/).
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At the point where you send your pull request, a command like this:
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<pre class="terminal">
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> nosetests --with-cov --cov-report term-missing ./test
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</pre>
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Should give output something like this:
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<pre class="terminal">
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> ---------- coverage: platform darwin, python 2.7.2-final-0 --
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> Name Stmts Miss Cover Missing
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> ----------------------------------------------------
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> libmproxy/__init__ 0 0 100%
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> libmproxy/app 4 0 100%
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> libmproxy/cmdline 100 0 100%
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> libmproxy/controller 69 0 100%
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> libmproxy/dump 150 0 100%
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> libmproxy/encoding 39 0 100%
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> libmproxy/filt 201 0 100%
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> libmproxy/flow 891 0 100%
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> libmproxy/proxy 427 0 100%
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> libmproxy/script 27 0 100%
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> libmproxy/utils 133 0 100%
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> libmproxy/version 4 0 100%
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> ----------------------------------------------------
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> TOTAL 2045 0 100%
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> ----------------------------------------------------
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> Ran 251 tests in 11.864s
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</pre>
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There are exceptions to the coverage requirement - for instance, much of the
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console interface code can't sensibly be unit tested. These portions are
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excluded from coverage analysis either in the **.coveragerc** file, or using
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**#pragma no-cover** directives. To keep our coverage analysis relevant, we use
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these measures as sparingly as possible.
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@ -246,7 +246,7 @@ mechanism has a different way of exposing this data, so this introduces the
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second component required for working transparent proxying: a host module that
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second component required for working transparent proxying: a host module that
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knows how to retrieve the original destination address from the router. In
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knows how to retrieve the original destination address from the router. In
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mitmproxy, this takes the form of a built-in set of
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mitmproxy, this takes the form of a built-in set of
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[modules](https://github.com/cortesi/mitmproxy/tree/master/libmproxy/platform)
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[modules](https://github.com/mitmproxy/mitmproxy/tree/master/libmproxy/platform)
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that know how to talk to each platform's redirection mechanism. Once we have
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that know how to talk to each platform's redirection mechanism. Once we have
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this information, the process is fairly straight-forward.
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this information, the process is fairly straight-forward.
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@ -5,7 +5,7 @@ import countershape.template
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sys.path.insert(0, "..")
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sys.path.insert(0, "..")
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from libmproxy import filt
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from libmproxy import filt
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MITMPROXY_SRC = "~/git/public/mitmproxy"
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MITMPROXY_SRC = "~/mitmproxy/mitmproxy"
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if ns.options.website:
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if ns.options.website:
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ns.idxpath = "doc/index.html"
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ns.idxpath = "doc/index.html"
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@ -25,7 +25,7 @@ pip install /path/to/source
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</pre>
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</pre>
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Note that if you're installing current git master, you will also have to
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Note that if you're installing current git master, you will also have to
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install the current git master of [netlib](http://github.com/cortesi/netlib) by
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install the current git master of [netlib](http://github.com/mitmproxy/netlib) by
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hand.
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hand.
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## OSX
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## OSX
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@ -1,36 +0,0 @@
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As discussed in [the Flow View section of the mitmproxy overview](@!urlTo("mitmproxy.html")!@), mitmproxy allows you to inspect and manipulate flows. When inspecting a single flow, mitmproxy uses a number of heuristics to show a friendly view of various content types; if mitmproxy cannot show a friendly view, mitmproxy defaults to a __raw__ view.
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By default, mitmproxy has support for displaying the following content types in a friendly view:
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- __1__: Hex
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- __2__: HTML
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- __3__: Image
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- __4__: JavaScript
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- __5__: JSON
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- __6__: URL-encoded data
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- __7__: XML
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- __8__: AMF (requires PyAMF)
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- __9__: Protobuf (requires protobuf library)
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Each content type invokes a different flow viewer to parse the data and display the friendly view. Users can add custom content viewers by adding a view class to contentview.py, discussed below.
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## Adding a new View class to contentview.py
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The content viewers used by mitmproxy to present a friendly view of various content types are stored in contentview.py. Reviewing this file shows a number of classes named ViewSomeDataType, each with the properties: __name__, __prompt__, and __content\_types__ and a function named __\_\_call\_\___.
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Adding a new content viewer to parse a data type is as simple as writing a new View class. Your new content viewer View class should have the same properties as the other View classes: __name__, __prompt__, and __content\_types__ and a __\_\_call\_\___ function to parse the content of the request/response.
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* The __name__ property should be a string describing the contents and new content viewer;
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* The __prompt__ property should be a two item tuple:
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- __1__: A string that will be used to display the new content viewer's type; and
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- __2__: A one character string that will be the hotkey used to select the new content viewer from the Flow View screen;
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* The __content\_types__ property should be a list of strings of HTTP Content\-Types that the new content viewer can parse.
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* Note that mitmproxy will use the content\_types to try and heuristically show a friendly view of content and that you can override the built-in views by populating content\_types with values for content\_types that are already parsed -- e.g. "image/png".
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After defining the __name__, __prompt__, and __content\_types__ properties of the class, you should write the __\_\_call\_\___ function, which will parse the request/response data and provide a friendly view of the data. The __\_\_call\_\___ function should take the following arguments: __self__, __hdrs__, __content__, __limit__; __hdrs__ is a ODictCaseless object containing the headers of the request/response; __content__ is the content of the request/response, and __limit__ is an integer representing the amount of data to display in the view window.
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The __\_\_call\_\___ function returns two values: (1) a string describing the parsed data; and (2) the parsed data for friendly display. The parsed data to be displayed should be a list of strings formatted for display. You can use the __\_view\_text__ function in contentview.py to format text for display. Alternatively, you can display content as a series of key-value pairs; to do so, prepare a list of lists, where each list item is a two item list -- a key that describes the data, and then the data itself; after preparing the list of lists, use the __common.format\_keyvals__ function on it to prepare it as text for display.
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If the new content viewer fails or throws an exception, mitmproxy will default to a __raw__ view.
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@ -3,5 +3,4 @@ from countershape import Page
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pages = [
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pages = [
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Page("inlinescripts.html", "Inline Scripts"),
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Page("inlinescripts.html", "Inline Scripts"),
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Page("libmproxy.html", "libmproxy"),
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Page("libmproxy.html", "libmproxy"),
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Page("addingviews.html","Adding new content viewers")
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]
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]
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IVERSION = (0, 9)
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IVERSION = (0, 9, 1)
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VERSION = ".".join(str(i) for i in IVERSION)
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VERSION = ".".join(str(i) for i in IVERSION)
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NAME = "mitmproxy"
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NAME = "mitmproxy"
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NAMEVERSION = NAME + " " + VERSION
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NAMEVERSION = NAME + " " + VERSION
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