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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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+
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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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+
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+
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+USING THE PRC FILES
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+
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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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+
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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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+
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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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+
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+
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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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+
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+load-display pandagl
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+
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+This specifies that the variable "load-display" should have the value
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+"pandagl".
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+
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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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+
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+
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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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+
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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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+
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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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+
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+
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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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+
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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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+
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+
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+DEFINING CONFIG VARIABLES
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+
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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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+
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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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+
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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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+
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+ConfigVariableEnum -
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+
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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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+
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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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+
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+ConfigVariableList -
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+
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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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+
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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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+
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+ConfigVariableSearchPath -
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+
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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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+
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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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+
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+
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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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+
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+(name, default_value, description = "", flags = 0)
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+
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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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+
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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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+
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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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+
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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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+
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+ConfigVariableInt foo_level("foo-level", -1, "The initial level of foo");
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+
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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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+
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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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+
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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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+
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+
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+DIRECTLY ASSIGNING CONFIG VARIABLES
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+
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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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+
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+ foo_level = 5;
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+
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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()
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+method instead, like this:
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+
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+ fooLevel.setValue(5)
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+
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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
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+the topmost prc file, use clear_local_value():
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+
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+ fooLevel.clearLocalValue()
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+
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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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+
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+QUERYING CONFIG VARIABLES
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+
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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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+
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+ print ConfigVariableInt("foo-level")
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+
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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
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+specify different default values.
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+
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+(Note that, although it is convenient to create a new instance of the
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+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
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+should reference the same instance wherever possible. This minimizes
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+the potential confusion about which instance should define the
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+variable's default value and/or description, and reduces chance of
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+conflicts should two such instances differ.)
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+
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+If you don't know the type of the variable, you can also simply create
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+an instance of the generic ConfigVariable class, for the purpose of
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+querying an existing variable only (you cannot define a new variable
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+with the generic class).
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+
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+For more detail about a variable, use the ls() method in Python (or
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+the write() method in C++), e.g.:
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+
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+ ConfigVariable("foo-level").ls()
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+
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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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+
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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
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+ name of the prc file that defines that value.
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+
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+ 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
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+ from the default. This may omit variables defined in some unused
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+ subsystem (like pandaegg, for instance), and it will omit
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+ variables defined by Python code which hasn't yet executed
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+ (e.g. variables within defined with a function that hasn't yet
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+ been called).
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+
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+ This will also omit variables deemed to be "dynamic" variables,
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+ for instance all of the notify-level-* variables, and variables
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+ such as pstats-active-*. These are omitted simply to keep the
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+ list of variable names manageable, since the list of dynamic
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+ variable names tends to be very large. Use
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+ cvMgr.listDynamicVariables() if you want to see these variable
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+ names.
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+
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+ cvMgr.listUnusedVariables()
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+
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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
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+ system. However, they may also be legitimate variables for some
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+ subsystem or application which simply has not been loaded; there
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+ is no way for Panda to make this distinction.
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+
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+
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+RE-READING PRC FILES
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+
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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,
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+you can force this to happen by making the following call:
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+
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+ ConfigPageManager::get_global_ptr()->reload_implicit_pages()
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+
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+Or, in Python:
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+
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+ cpMgr.reloadImplicitPages()
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+
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+This will tell Panda to re-read all of the prc files it found
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+automatically at startup and update the variables' values accordingly.
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+
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+
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+RUNTIME PRC FILE MANAGEMENT
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+
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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
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+functions to manage this are defined in load_prc_file.h:
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+
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+ ConfigPage *page = load_prc_file("myPage.prc")
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+
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+ ...
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+
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+ unload_prc_file(page);
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+
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+(The above shows the C++ syntax; the corresponding Python code is
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+similar, but of course the functions are named loadPrcFile() and
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+unloadPrcFile().)
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+
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+That is to say, you can call load_prc_file() to load up a new prc file
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+at any time. Each file you load is added to a LIFO stack of prc
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+files. If a variable is defined in more than one prc file, the
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+topmost file on the stack (i.e. the one most recently loaded) is the
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+one that defines the variable's value.
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+
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+You can call unload_prc_file() at any time to unload a file that you
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+have previously loaded. This removes the file from the stack and
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+allows any variables it modified to return to their previous value.
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+The single parameter to unload_prc_file() should be the pointer that
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+was returned from the corresponding call to load_prc_file(). Once you
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+have called unload_prc_file(), the pointer is invalid and should no
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+longer be used. It is an error to call unload_prc_file() twice on the
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+same pointer.
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+
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+The filename given to load_prc_file() may refer to any file that is on
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+the standard prc file search path (e.g. $PRC_DIR), as well as on the
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+model-path. It may be a physical file on disk, or a subfile of a
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+multifile (and mounted via Panda's virtual file system).
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+
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+You can see the complete list of prc files that have been loaded into
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+the config system at any given time, including files loaded explicitly
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+via load_prc_file(), as well as files found in the standard prc file
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+search path and loaded implicitly at startup. Simply use
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+ConfigPageManager::write(), e.g. in Python:
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+
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+ print cpMgr
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+
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+
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+COMPILE-TIME OPTIONS FOR FINDING PRC FILES
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+
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+As described above in USING THE PRC FILES, Panda's default startup
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+behavior is to load all files named *.prc in the directory named by
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+the environment variable PRC_DIR. This is actually a bit of an
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+oversimplification. The complete default behavior is as follows:
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+
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+(1) If PRC_PATH is set, separate it into a list of directories and
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+ make a search path out of it.
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+
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+(2) If PRC_DIR is set, prepend it onto the search path defined by
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+ PRC_PATH, above.
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+
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+(3) If neither was set, put the compiled-in value for DEFAULT_PRC_DIR,
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+ which is usually the install/etc directory, alone on the search
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+ path.
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+
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+(4) Look for all files named *.prc on each directory of the resulting
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+ search path, and load them up in reverse search path order, and
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+ within each directory, in forward alphabetical order. This means
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+ that directories listed first on the search path override
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+ directories listed later, and within a directory, files
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+ alphabetically later override files alphabetically earlier.
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+
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+This describes the default behavior, without any modifications to
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+Config.pp. If you wish, you can further fine-tune each of the above
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|
+steps by defining various Config.pp variables at compile time. The
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|
+following Config.pp variables may be defined:
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|
+
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|
+#define PRC_PATH_ENVVARS PRC_PATH
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|
+#define PRC_DIR_ENVVARS PRC_DIR
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|
+
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+ This names the environment variable(s) to use instead of PRC_PATH
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|
+ and PRC_DIR. In either case, you may name multiple environment
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|
+ variables separated by a space; each variable is consulted one at a
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|
|
+ time, in the order named, and the results are concatenated.
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|
+
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|
+ For instance, if you put the following line in your Config.pp file:
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|
+
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|
+ #define PRC_PATH_ENVVARS CFG_PATH ETC_PATH
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|
|
+
|
|
|
+ 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
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|
|
+ will be the concatenation of both.
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|
|
+
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|
|
+ You can also set either or both of PRC_PATH_ENVVARS or
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|
|
+ PRC_DIR_ENVVARS to the empty string; this will disable runtime
|
|
|
+ checking of environment variables, and force all prc files to be
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|
|
+ loaded from the directory named by DEFAULT_PRC_DIR.
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|
|
+
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|
|
+#define PRC_PATTERNS *.prc
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|
|
+
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|
|
+ This describes the filename patterns that are used to identify prc
|
|
|
+ files in each directory in step(4), above. The default is *.prc,
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|
|
+ 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.
|
|
|
+
|