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panda/src/doc/howto.use_config.txt
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panda/src/doc/howto.use_config.txt
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This document describes the use of the Panda's Config.prc
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configuration files and the runtime subsystem that extracts values
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from these files, defined in dtool/src/prc.
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The Config.prc files are used for runtime configuration only, and are
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not related to the Config.pp files, which control compile-time
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configuration. If you are looking for documentation on the Config.pp
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files, see howto.use_ppremake.txt, and ppremake-*.txt, in this
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directory.
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USING THE PRC FILES
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In its default mode, when Panda starts up it will search in the
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install/etc directory (or in the directory named by the environment
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variable PRC_DIR if it is set) for all files named *.prc (that is, any
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files with an extension of "prc") and read each of them for runtime
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configuration. (It is possible to change this default behavior; see
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CHANGING THE DEFAULT STARTUP BEHAVIOR, below.)
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All of the prc files are loaded in alphabetical order, so that the
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files that have the alphabetically later names are loaded last. Since
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variables defined in an later file may shadow variables defined in an
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earlier file, this means that filenames towards the end of the
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alphabet have the most precedence.
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Panda by default installs a handful of system prc files into the
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install/etc directory. These files have names beginning with digits,
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like 20_panda.prc and 40_direct.prc, so that they will be loaded in a
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particular order. If you create your own prc file in this directory,
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we recommended that you begin its filename with letters, so that it
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will sort to the bottom of the list and will therefore override any of
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the default variables defined in the system prc files.
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Within a particular prc file, you may define any number of
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configuration variables and their associated value. Each definition
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must appear one per line, with at least one space separating the
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variable and its definition, e.g.:
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load-display pandagl
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This specifies that the variable "load-display" should have the value
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"pandagl".
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Comments may also appear in the file; they are introduced by a leading
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hash mark (#). A comment must be on a line by itself; you may not
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place a comment on the same line with a variable definition.
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The legal values that you may specify for any particular variable
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depends on the variable. The complete list of available variables and
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the valid values for each is not documented here (a list of the most
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commonly modified variables appears in another document, but also see
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cvMgr.listVariables(), below).
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Many variables accept any string value (such as load-display, above);
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many others, such as aspect-ratio, expect a numeric value.
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A large number of variables expect a simple boolean true/false value.
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You may observe the Python convention of using 0 vs. 1 to represent
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false vs. true; or you may literally type "false" or "true", or just
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"f" and "t". For historical reasons, Panda also recognizes the Scheme
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convention of "#f" and "#t".
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Most variables only accept one value at a time. If there are two
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different definitions for a given variable in the same file, the
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topmost definition applies. If there are two different definitions in
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two different files, the definition given in the file loaded later
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applies.
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However, some variables accept multiple values. This is particularly
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common for variables that name search directories, like model-path.
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In the case of these variables, all definitions given for the variable
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are taken together; it is possible to extend the definition by adding
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another prc file, but you cannot completely hide any value defined in
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a previously-loaded prc file.
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DEFINING CONFIG VARIABLES
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New config variables may be defined on-the-fly in either C++ or Python
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code. To do this, create an instance of one of the following classes:
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ConfigVariableString
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ConfigVariableBool
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ConfigVariableInt
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ConfigVariableDouble
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ConfigVariableEnum (C++ only)
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ConfigVariableList
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ConfigVariableSearchPath
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These each define a config variable of the corresponding type. For
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instance, a ConfigVariableInt defines a variable whose value must
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always be an integer value. The most common variable types are the
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top four, which are self-explanatory; the remaining three are special
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types:
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ConfigVariableEnum -
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This is a special template class available in C++ only. It provides
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a convenient way to define a variable that may accept any of a
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handful of different values, each of which is defined by a keyword.
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For instance, the text-encoding variable may be set to any of
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"iso8859", "utf8", or "unicode", which correspond to
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TextEncoder::E_iso8859, E_utf8, and E_unicode, respectively.
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The ConfigVariableEnum class relies on a having sensible pair of
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functions defined for operator << (ostream) and operator >>
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(istream) for the enumerated type. These two functions should
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reverse each other, so that the output operator generates a keyword
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||||
for each value of the enumerated type, and the input operator
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recognizes each of the keywords generated by the output operator.
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|
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This is a template class. It is templated on its enumerated type,
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e.g. ConfigVariableEnum<TextEncoder::Encoding>.
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ConfigVariableList -
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This class defines a special config variable that records all of its
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definitions appearing in all prc files and retrieves them as a list,
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instead of a standard config variable that returns only the topmost
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definition. (See "some variables accept multiple values", above.)
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Unlike the other kinds of config variables, a ConfigVariableList is
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read-only; it can be modified only by loading additional prc files,
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rather than directly setting its value. Also, its constructor lacks
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a default_value parameter (there is no default value; if the
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variable is not defined in any prc file, it simply returns an empty
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list).
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ConfigVariableSearchPath -
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This class is very similar to a ConfigVariableList, above, except
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that it is intended specifically to represent the multiple
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directories of a search path. In general, a
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ConfigVariableSearchPath variable can be used in place of a
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DSearchPath variable.
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Unlike ConfigVariableList, instances of this variable can be locally
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modified by appending or prepending additional directory names.
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In general, each of the constructors to the above classes accepts the
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following parameters:
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(name, default_value, description = "", flags = 0)
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The default_value parameter should be of the same type as the variable
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itself; for instance, the default_value for a ConfigVariableBool must
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be either true or false. The ConfigVariableList and
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ConfigVariableSearchPath constructors do not have a default_value
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parameter.
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The description should be a sentence or two describing the purpose of
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the variable and the effects of setting it. It will be reported with
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variable.getDescription() or ConfigVariableManager.listVariables();
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see QUERYING CONFIG VARIABLES, below.
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The flags variable is usually set to 0, but it may be an integer trust
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level and/or the union of any of the values in the enumerated type
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ConfigFlags::VariableFlags. For the most part, this is used to
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restrict the variable from being set by unsigned prc files. See
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SIGNED PRC FILES, below.
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Once you have created a config variable of the appropriate type, you
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may generally treat it directly as a simple variable of that type.
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This works in both C++ and in Python. For instance, you may write
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code such as this:
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ConfigVariableInt foo_level("foo-level", -1, "The initial level of foo");
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if (foo_level < 0) {
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cerr << "You didn't specify a valid foo_level!\n";
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} else {
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// Four snarfs for every foo.
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int snarf_level = 4 * foo_level;
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}
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In rare cases, you may find that the implicit typecast operators
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aren't resolved properly by the compiler; if this happens, you can use
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variable.get_value() to retrieve the variable's value explicitly.
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DIRECTLY ASSIGNING CONFIG VARIABLES
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In general, config variables can also be assigned values appropriate
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to their type, again as if they were ordinary variables. In C++, the
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assignment operator is overloaded to perform this function, e.g.:
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foo_level = 5;
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In Python, this is not possible--the assignment operator in Python
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completely replaces the value of the assigned symbol and cannot be
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overloaded. So the above statement in Python would replace foo_level
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with an actual integer of the value 5. In many cases, this is close
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enough to what you intended anyway, but if you want to keep the
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original functionality of the config variable (e.g. so you can restore
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it to its original value later), you need to use the set_value()
|
||||
method instead, like this:
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||||
fooLevel.setValue(5)
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||||
When you assign a variable locally, the new definition shadows all prc
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||||
files that have been read or will ever be read, until you clear your
|
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definition. To restore a variable to its original value as defined by
|
||||
the topmost prc file, use clear_local_value():
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|
||||
fooLevel.clearLocalValue()
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||||
|
||||
In general, this interface for assigning config variables is primarily
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intended for the convenience of developing an application
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||||
interactively; it is sometimes useful to change the value of a
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variable on the fly.
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||||
|
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QUERYING CONFIG VARIABLES
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There are several mechanisms for finding out the values of individual
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config variables, as well as for finding the complete list of
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available config variables.
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|
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In particular, one easy way to query an existing config variable's
|
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value is simply to create a new instance, e.g.:
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print ConfigVariableInt("foo-level")
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The default value and comment are optional if another instance of the
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same config variable has previously been created, supplying these
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parameters. However, it is an error if no instance of a particular
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config variable specifies a default value. It is also an error (but
|
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it is treated as a warning) if two different instances of a variable
|
||||
specify different default values.
|
||||
|
||||
(Note that, although it is convenient to create a new instance of the
|
||||
variable in order to query or modify its value interactively, we
|
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recommend that all the references to a particular variable in code
|
||||
should reference the same instance wherever possible. This minimizes
|
||||
the potential confusion about which instance should define the
|
||||
variable's default value and/or description, and reduces chance of
|
||||
conflicts should two such instances differ.)
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||||
|
||||
If you don't know the type of the variable, you can also simply create
|
||||
an instance of the generic ConfigVariable class, for the purpose of
|
||||
querying an existing variable only (you cannot define a new variable
|
||||
with the generic class).
|
||||
|
||||
For more detail about a variable, use the ls() method in Python (or
|
||||
the write() method in C++), e.g.:
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ConfigVariable("foo-level").ls()
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||||
In additional to the variable's current and default values, this also
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prints a breakdown of all of the prc files that contribute to the
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||||
value of the variable, as well as the description passed as the third
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parameter to the primary ConfigVariable constructor.
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||||
To get a list of all known config variables, use the methods on
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ConfigVariableManager. In C++, you can get this object via
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ConfigVariableManager::get_global_ptr(); in Python, use the cvMgr
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||||
builtin, created by ShowBase.py.
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||||
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||||
print cvMgr
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||||
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||||
Lists all of the variables in active use: all of the variables
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||||
whose value has been set by one or more prc files, along with the
|
||||
name of the prc file that defines that value.
|
||||
|
||||
cvMgr.listVariables()
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||||
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||||
Lists all of the variables currently known to the config system;
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||||
that is, all variables for which a ConfigVariable instance has
|
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been created at runtime, whether or not its value has been changed
|
||||
from the default. This may omit variables defined in some unused
|
||||
subsystem (like pandaegg, for instance), and it will omit
|
||||
variables defined by Python code which hasn't yet executed
|
||||
(e.g. variables within defined with a function that hasn't yet
|
||||
been called).
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||||
|
||||
This will also omit variables deemed to be "dynamic" variables,
|
||||
for instance all of the notify-level-* variables, and variables
|
||||
such as pstats-active-*. These are omitted simply to keep the
|
||||
list of variable names manageable, since the list of dynamic
|
||||
variable names tends to be very large. Use
|
||||
cvMgr.listDynamicVariables() if you want to see these variable
|
||||
names.
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||||
|
||||
cvMgr.listUnusedVariables()
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||||
|
||||
Lists all of the variables that have been defined by some prc
|
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file, but which are not known to the config system (no
|
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ConfigVariable instance has yet been created for this variable).
|
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These variables may represent misspellings or typos in your prc
|
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file, or they may be old variables which are no longer used in the
|
||||
system. However, they may also be legitimate variables for some
|
||||
subsystem or application which simply has not been loaded; there
|
||||
is no way for Panda to make this distinction.
|
||||
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RE-READING PRC FILES
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If you modify a prc file at some point after Panda has started, Panda
|
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will not automatically know that it needs to reload its config files
|
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and will not therefore automatically recognize your change. However,
|
||||
you can force this to happen by making the following call:
|
||||
|
||||
ConfigPageManager::get_global_ptr()->reload_implicit_pages()
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||||
|
||||
Or, in Python:
|
||||
|
||||
cpMgr.reloadImplicitPages()
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||||
|
||||
This will tell Panda to re-read all of the prc files it found
|
||||
automatically at startup and update the variables' values accordingly.
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||||
|
||||
RUNTIME PRC FILE MANAGEMENT
|
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|
||||
In addition to the prc files that are found and loaded automatically
|
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by Panda at startup, you can load files up at runtime as needed. The
|
||||
functions to manage this are defined in load_prc_file.h:
|
||||
|
||||
ConfigPage *page = load_prc_file("myPage.prc")
|
||||
|
||||
...
|
||||
|
||||
unload_prc_file(page);
|
||||
|
||||
(The above shows the C++ syntax; the corresponding Python code is
|
||||
similar, but of course the functions are named loadPrcFile() and
|
||||
unloadPrcFile().)
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||||
|
||||
That is to say, you can call load_prc_file() to load up a new prc file
|
||||
at any time. Each file you load is added to a LIFO stack of prc
|
||||
files. If a variable is defined in more than one prc file, the
|
||||
topmost file on the stack (i.e. the one most recently loaded) is the
|
||||
one that defines the variable's value.
|
||||
|
||||
You can call unload_prc_file() at any time to unload a file that you
|
||||
have previously loaded. This removes the file from the stack and
|
||||
allows any variables it modified to return to their previous value.
|
||||
The single parameter to unload_prc_file() should be the pointer that
|
||||
was returned from the corresponding call to load_prc_file(). Once you
|
||||
have called unload_prc_file(), the pointer is invalid and should no
|
||||
longer be used. It is an error to call unload_prc_file() twice on the
|
||||
same pointer.
|
||||
|
||||
The filename given to load_prc_file() may refer to any file that is on
|
||||
the standard prc file search path (e.g. $PRC_DIR), as well as on the
|
||||
model-path. It may be a physical file on disk, or a subfile of a
|
||||
multifile (and mounted via Panda's virtual file system).
|
||||
|
||||
You can see the complete list of prc files that have been loaded into
|
||||
the config system at any given time, including files loaded explicitly
|
||||
via load_prc_file(), as well as files found in the standard prc file
|
||||
search path and loaded implicitly at startup. Simply use
|
||||
ConfigPageManager::write(), e.g. in Python:
|
||||
|
||||
print cpMgr
|
||||
|
||||
|
||||
COMPILE-TIME OPTIONS FOR FINDING PRC FILES
|
||||
|
||||
As described above in USING THE PRC FILES, Panda's default startup
|
||||
behavior is to load all files named *.prc in the directory named by
|
||||
the environment variable PRC_DIR. This is actually a bit of an
|
||||
oversimplification. The complete default behavior is as follows:
|
||||
|
||||
(1) If PRC_PATH is set, separate it into a list of directories and
|
||||
make a search path out of it.
|
||||
|
||||
(2) If PRC_DIR is set, prepend it onto the search path defined by
|
||||
PRC_PATH, above.
|
||||
|
||||
(3) If neither was set, put the compiled-in value for DEFAULT_PRC_DIR,
|
||||
which is usually the install/etc directory, alone on the search
|
||||
path.
|
||||
|
||||
(4) Look for all files named *.prc on each directory of the resulting
|
||||
search path, and load them up in reverse search path order, and
|
||||
within each directory, in forward alphabetical order. This means
|
||||
that directories listed first on the search path override
|
||||
directories listed later, and within a directory, files
|
||||
alphabetically later override files alphabetically earlier.
|
||||
|
||||
This describes the default behavior, without any modifications to
|
||||
Config.pp. If you wish, you can further fine-tune each of the above
|
||||
steps by defining various Config.pp variables at compile time. The
|
||||
following Config.pp variables may be defined:
|
||||
|
||||
#define PRC_PATH_ENVVARS PRC_PATH
|
||||
#define PRC_DIR_ENVVARS PRC_DIR
|
||||
|
||||
This names the environment variable(s) to use instead of PRC_PATH
|
||||
and PRC_DIR. In either case, you may name multiple environment
|
||||
variables separated by a space; each variable is consulted one at a
|
||||
time, in the order named, and the results are concatenated.
|
||||
|
||||
For instance, if you put the following line in your Config.pp file:
|
||||
|
||||
#define PRC_PATH_ENVVARS CFG_PATH ETC_PATH
|
||||
|
||||
Then instead of checking $PRC_PATH in step (1), above, Panda will
|
||||
first check $CFG_PATH, and then $ETC_PATH, and the final search path
|
||||
will be the concatenation of both.
|
||||
|
||||
You can also set either or both of PRC_PATH_ENVVARS or
|
||||
PRC_DIR_ENVVARS to the empty string; this will disable runtime
|
||||
checking of environment variables, and force all prc files to be
|
||||
loaded from the directory named by DEFAULT_PRC_DIR.
|
||||
|
||||
#define PRC_PATTERNS *.prc
|
||||
|
||||
This describes the filename patterns that are used to identify prc
|
||||
files in each directory in step(4), above. The default is *.prc,
|
||||
but you can change this if you have any reason to. You can specify
|
||||
multiple filename patterns separated by a space. For instance, if
|
||||
you still have some config files named "Configrc", following an
|
||||
older Panda convention, you can define the following in your
|
||||
Config.pp file:
|
||||
|
||||
#define PRC_PATTERNS *.prc Configrc
|
||||
|
||||
This will cause Panda to recognize files named "Configrc", as well
|
||||
as any file ending in the extension prc, as a legitimate prc file.
|
||||
|
||||
#define DEFAULT_PRC_DIR $[INSTALL_DIR]/etc
|
||||
|
||||
This is the directory from which to load prc files if all of the
|
||||
variables named by PRC_PATH_ENVVARS and PRC_DIR_ENVVARS are
|
||||
undefined or empty.
|
||||
|
||||
#define DEFAULT_PATHSEP
|
||||
|
||||
This doesn't strictly apply to the config system, since it globally
|
||||
affects search paths throughout Panda. This specifies the character
|
||||
or characters used to separate the different directory names of a
|
||||
search path, for instance $PRC_PATH. The default character is ':'
|
||||
on Unix, and ';' on Windows. If you specify multiple characters,
|
||||
any of them may be used as a separator.
|
||||
|
||||
|
||||
EXECUTABLE PRC FILES
|
||||
|
||||
One esoteric feature of Panda's config system is the ability to
|
||||
automatically execute a standalone program which generates a prc file
|
||||
as output.
|
||||
|
||||
This feature is not enabled by default. To enable it, you must define
|
||||
the Config.pp variable PRC_EXECUTABLE_PATTERNS before you build Panda.
|
||||
This variable is similar to PRC_PATTERNS, described above, except it
|
||||
names file names which, when found along the standard prc search path,
|
||||
should be taken to be the name of an executable program. Panda will
|
||||
execute each of these programs, in the appropriate order according to
|
||||
alphabetical sorting with the regular prc files, and whatever the
|
||||
program writes to standard output is taken to be the contents of a prc
|
||||
file.
|
||||
|
||||
By default the contents of the environment variable
|
||||
$PRC_EXECUTABLE_ARGS are passed as arguments to the executable
|
||||
program. You can change this to a different environment variable by
|
||||
redefining PRC_EXECUTABLE_ARGS_ENVVAR in your Config.pp (or disable
|
||||
this feature by defining this to the empty string).
|
||||
|
||||
|
||||
SIGNED PRC FILES
|
||||
|
||||
Another esoteric feature of Panda's config system is the ability to
|
||||
restrict certain config variables to modification only by a prc file
|
||||
that has been provided from an authorized source. This is primarily
|
||||
useful when Panda is to be used for deployment of applications (games,
|
||||
etc.) to a client; it has little utility in a fully trusted
|
||||
environment.
|
||||
|
||||
When this feature is enabled, you can specify an optional trust level
|
||||
to each ConfigVariable constructor. The trust level is an integer
|
||||
value, greater than 0 (and <= ConfigFlags::F_trust_level_mask), which
|
||||
should be or'ed in with the flags parameter.
|
||||
|
||||
A number of random keys must be generated ahead of time and compiled
|
||||
into Panda; there must be a different key for each required trust
|
||||
level. Each prc file can then optionally be signed by exactly one of
|
||||
the available keys. When a prc file has been signed by a recognized
|
||||
key, Panda assigns the corresponding trust level to that prc file. An
|
||||
unsigned prc file has an implicit trust level of 0.
|
||||
|
||||
If a signed prc file is modified in any way after it has been signed,
|
||||
its signature will no longer match the contents of the file and its
|
||||
trust level drops to 0. The newly-modified file must be signed again
|
||||
to restore its trust level.
|
||||
|
||||
When a ConfigVariable is constructed with a nonzero trust level, that
|
||||
variable's value may then not be modified by any prc file with a trust
|
||||
level lower that the variable's trust level. If a prc file with an
|
||||
insufficient trust level attempts to modify the variable, the new
|
||||
value is ignored, and the value from the previous trusted prc file (or
|
||||
the variable's default value) is retained.
|
||||
|
||||
The default trust level for a ConfigVariable is 0, which means the
|
||||
variable can be set by any prc file, signed or unsigned. To
|
||||
explicitly specify a trust level of 0, you should use
|
||||
ConfigFlags::F_open.
|
||||
|
||||
To specify a ConfigVariable that cannot be set by any prc files at
|
||||
all, regardless of trust level, use ConfigFlags::F_closed.
|
||||
|
||||
This feature is not enabled by default. It is somewhat complicated to
|
||||
enable this feature, because doing so requres generating one or more
|
||||
private/public key pairs, and compiling the public keys into the
|
||||
low-level Panda system so that it can recognize signed prc files when
|
||||
they are provided, and compiling the private keys into standalone
|
||||
executables, one for each private key, that can be used to officially
|
||||
sign approved prc files.
|
||||
|
Loading…
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Reference in New Issue
Block a user