bitbake: bitbake-user-manual: New section on functions you can call from Python
Fixes [YOCTO #10100] I added a new parent directory named "Functions You Can Call From Within Python". This section contains a couple new sub-sections. One is the existing "Functions for Accessing Datastore Variables". The other is called "Other Functions", and it is used to point or reference some commonly used functions that the user can call from within Python. (Bitbake rev: ecbcedd74125ef00599f4af384ee303dae8af5b7) Signed-off-by: Scott Rifenbark <srifenbark@gmail.com> Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
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Scott Rifenbark
Richard Purdie
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@ -1228,7 +1228,7 @@
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</literallayout>
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For methods you can use with anonymous Python functions,
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see the
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"<link linkend='accessing-datastore-variables-using-python'>Accessing Datastore Variables Using Python</link>"
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"<link linkend='functions-you-can-call-from-within-python'>Functions You Can Call From Within Python</link>"
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section.
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For a different method to run Python code during parsing,
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see the
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@ -2082,102 +2082,130 @@
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</section>
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</section>
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<section id='accessing-datastore-variables-using-python'>
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<title>Accessing Datastore Variables Using Python</title>
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<section id='functions-you-can-call-from-within-python'>
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<title>Functions You Can Call From Within Python</title>
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<para>
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It is often necessary to access variables in the
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BitBake datastore using Python functions.
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The Bitbake datastore has an API that allows you this
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access.
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Here is a list of available operations:
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BitBake provides many functions you can call from
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within Python functions.
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This section lists the most commonly used functions,
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and mentions where to find others.
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</para>
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<para>
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<informaltable frame='none'>
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<tgroup cols='2' align='left' colsep='1' rowsep='1'>
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<colspec colname='c1' colwidth='1*'/>
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<colspec colname='c2' colwidth='1*'/>
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<thead>
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<row>
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<entry align="left"><emphasis>Operation</emphasis></entry>
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<entry align="left"><emphasis>Description</emphasis></entry>
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</row>
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</thead>
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<tbody>
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<row>
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<entry align="left"><filename>d.getVar("X", expand)</filename></entry>
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<entry align="left">Returns the value of variable "X".
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Using "expand=True" expands the value.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.setVar("X", "value")</filename></entry>
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<entry align="left">Sets the variable "X" to "value".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.appendVar("X", "value")</filename></entry>
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<entry align="left">Adds "value" to the end of the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.prependVar("X", "value")</filename></entry>
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<entry align="left">Adds "value" to the start of the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.delVar("X")</filename></entry>
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<entry align="left">Deletes the variable "X" from the datastore.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.renameVar("X", "Y")</filename></entry>
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<entry align="left">Renames the variable "X" to "Y".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.getVarFlag("X", flag, expand)</filename></entry>
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<entry align="left">Returns the value of variable "X".
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<section id='functions-for-accessing-datastore-variables'>
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<title>Functions for Accessing Datastore Variables</title>
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<para>
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It is often necessary to access variables in the
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BitBake datastore using Python functions.
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The Bitbake datastore has an API that allows you this
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access.
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Here is a list of available operations:
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</para>
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<para>
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<informaltable frame='none'>
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<tgroup cols='2' align='left' colsep='1' rowsep='1'>
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<colspec colname='c1' colwidth='1*'/>
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<colspec colname='c2' colwidth='1*'/>
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<thead>
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<row>
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<entry align="left"><emphasis>Operation</emphasis></entry>
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<entry align="left"><emphasis>Description</emphasis></entry>
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</row>
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</thead>
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<tbody>
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<row>
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<entry align="left"><filename>d.getVar("X", expand)</filename></entry>
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<entry align="left">Returns the value of variable "X".
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Using "expand=True" expands the value.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.setVarFlag("X", flag, "value")</filename></entry>
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<entry align="left">Sets the named flag for variable "X" to "value".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.appendVarFlag("X", flag, "value")</filename></entry>
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<entry align="left">Appends "value" to the named flag on the
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variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.prependVarFlag("X", flag, "value")</filename></entry>
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<entry align="left">Prepends "value" to the named flag on
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the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.delVarFlag("X", flag)</filename></entry>
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<entry align="left">Deletes the named flag on the variable
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"X" from the datastore.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.setVarFlags("X", flagsdict)</filename></entry>
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<entry align="left">Sets the flags specified in
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the <filename>flagsdict()</filename> parameter.
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<filename>setVarFlags</filename> does not clear previous flags.
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Think of this operation as <filename>addVarFlags</filename>.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.getVarFlags("X")</filename></entry>
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<entry align="left">Returns a <filename>flagsdict</filename> of the flags for
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the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.delVarFlags("X")</filename></entry>
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<entry align="left">Deletes all the flags for the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.expand(expression)</filename></entry>
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<entry align="left">Expands variable references in the specified string expression.</entry>
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</row>
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</tbody>
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</tgroup>
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</informaltable>
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</para>
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</row>
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<row>
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<entry align="left"><filename>d.setVar("X", "value")</filename></entry>
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<entry align="left">Sets the variable "X" to "value".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.appendVar("X", "value")</filename></entry>
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<entry align="left">Adds "value" to the end of the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.prependVar("X", "value")</filename></entry>
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<entry align="left">Adds "value" to the start of the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.delVar("X")</filename></entry>
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<entry align="left">Deletes the variable "X" from the datastore.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.renameVar("X", "Y")</filename></entry>
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<entry align="left">Renames the variable "X" to "Y".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.getVarFlag("X", flag, expand)</filename></entry>
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<entry align="left">Returns the value of variable "X".
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Using "expand=True" expands the value.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.setVarFlag("X", flag, "value")</filename></entry>
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<entry align="left">Sets the named flag for variable "X" to "value".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.appendVarFlag("X", flag, "value")</filename></entry>
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<entry align="left">Appends "value" to the named flag on the
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variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.prependVarFlag("X", flag, "value")</filename></entry>
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<entry align="left">Prepends "value" to the named flag on
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the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.delVarFlag("X", flag)</filename></entry>
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<entry align="left">Deletes the named flag on the variable
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"X" from the datastore.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.setVarFlags("X", flagsdict)</filename></entry>
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<entry align="left">Sets the flags specified in
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the <filename>flagsdict()</filename> parameter.
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<filename>setVarFlags</filename> does not clear previous flags.
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Think of this operation as <filename>addVarFlags</filename>.</entry>
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</row>
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<row>
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<entry align="left"><filename>d.getVarFlags("X")</filename></entry>
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<entry align="left">Returns a <filename>flagsdict</filename> of the flags for
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the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.delVarFlags("X")</filename></entry>
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<entry align="left">Deletes all the flags for the variable "X".</entry>
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</row>
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<row>
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<entry align="left"><filename>d.expand(expression)</filename></entry>
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<entry align="left">Expands variable references in the specified string expression.</entry>
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</row>
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</tbody>
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</tgroup>
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</informaltable>
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</para>
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</section>
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<section id='other-functions'>
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<title>Other Functions</title>
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<para>
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You can find many other functions that can be called
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from Python by looking at the source code of the
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<filename>bb</filename> module, which is in
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<filename>bitbake/lib/bb</filename>.
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For example,
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<filename>bitbake/lib/bb/utils.py</filename> includes
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the commonly used functions
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<filename>bb.utils.contains()</filename> and
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<filename>bb.utils.mkdirhier()</filename>, which come
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with docstrings.
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</para>
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</section>
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</section>
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<section id='task-checksums-and-setscene'>
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