From: Simon Glass Date: Tue, 8 Feb 2022 18:50:01 +0000 (-0700) Subject: binman: fit: Refactor to reduce function size X-Git-Tag: v2022.07~172^2~4 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=dbe17c0008cfdbcde4ffa3a9c411e25a01553847;p=platform%2Fkernel%2Fu-boot.git binman: fit: Refactor to reduce function size Split subnode and property processing into separate functions to make the _AddNode() function a little smaller. Tweak a few comments. This does not change any functionality. Signed-off-by: Simon Glass --- diff --git a/tools/binman/etype/fit.py b/tools/binman/etype/fit.py index 1e95702..2657e6c 100644 --- a/tools/binman/etype/fit.py +++ b/tools/binman/etype/fit.py @@ -142,12 +142,80 @@ class Entry_fit(Entry_section): super().ReadNode() def ReadEntries(self): + def _process_prop(pname, prop): + """Process special properties + + Handles properties with generated values. At present the only + supported property is 'default', i.e. the default device tree in + the configurations node. + + Args: + pname (str): Name of property + prop (Prop): Property to process + """ + if pname == 'default': + val = prop.value + # Handle the 'default' property + if val.startswith('@'): + if not self._fdts: + return + if not self._fit_default_dt: + self.Raise("Generated 'default' node requires default-dt entry argument") + if self._fit_default_dt not in self._fdts: + self.Raise("default-dt entry argument '%s' not found in fdt list: %s" % + (self._fit_default_dt, + ', '.join(self._fdts))) + seq = self._fdts.index(self._fit_default_dt) + val = val[1:].replace('DEFAULT-SEQ', str(seq + 1)) + fsw.property_string(pname, val) + return + fsw.property(pname, prop.bytes) + + def _generate_node(subnode, depth, in_images): + """Generate nodes from a template + + This creates one node for each member of self._fdts using the + provided template. If a property value contains 'NAME' it is + replaced with the filename of the FDT. If a property value contains + SEQ it is replaced with the node sequence number, where 1 is the + first. + + Args: + subnode (None): Generator node to process + depth: Current node depth (0 is the base 'fit' node) + in_images: True if this is inside the 'images' node, so that + 'data' properties should be generated + """ + if self._fdts: + # Generate nodes for each FDT + for seq, fdt_fname in enumerate(self._fdts): + node_name = subnode.name[1:].replace('SEQ', str(seq + 1)) + fname = tools.get_input_filename(fdt_fname + '.dtb') + with fsw.add_node(node_name): + for pname, prop in subnode.props.items(): + val = prop.bytes.replace( + b'NAME', tools.to_bytes(fdt_fname)) + val = val.replace( + b'SEQ', tools.to_bytes(str(seq + 1))) + fsw.property(pname, val) + + # Add data for 'images' nodes (but not 'config') + if depth == 1 and in_images: + fsw.property('data', tools.read_file(fname)) + else: + if self._fdts is None: + if self._fit_list_prop: + self.Raise("Generator node requires '%s' entry argument" % + self._fit_list_prop.value) + else: + self.Raise("Generator node requires 'fit,fdt-list' property") + def _AddNode(base_node, depth, node): """Add a node to the FIT Args: base_node: Base Node of the FIT (with 'description' property) - depth: Current node depth (0 is the base node) + depth: Current node depth (0 is the base 'fit' node) node: Current node to process There are two cases to deal with: @@ -157,23 +225,7 @@ class Entry_fit(Entry_section): """ for pname, prop in node.props.items(): if not pname.startswith('fit,'): - if pname == 'default': - val = prop.value - # Handle the 'default' property - if val.startswith('@'): - if not self._fdts: - continue - if not self._fit_default_dt: - self.Raise("Generated 'default' node requires default-dt entry argument") - if self._fit_default_dt not in self._fdts: - self.Raise("default-dt entry argument '%s' not found in fdt list: %s" % - (self._fit_default_dt, - ', '.join(self._fdts))) - seq = self._fdts.index(self._fit_default_dt) - val = val[1:].replace('DEFAULT-SEQ', str(seq + 1)) - fsw.property_string(pname, val) - continue - fsw.property(pname, prop.bytes) + _process_prop(pname, prop) rel_path = node.path[len(base_node.path):] in_images = rel_path.startswith('/images') @@ -198,31 +250,7 @@ class Entry_fit(Entry_section): # fsw.add_node() or _AddNode() for it. pass elif self.GetImage().generate and subnode.name.startswith('@'): - if self._fdts: - # Generate notes for each FDT - for seq, fdt_fname in enumerate(self._fdts): - node_name = subnode.name[1:].replace('SEQ', - str(seq + 1)) - fname = tools.get_input_filename(fdt_fname + '.dtb') - with fsw.add_node(node_name): - for pname, prop in subnode.props.items(): - val = prop.bytes.replace( - b'NAME', tools.to_bytes(fdt_fname)) - val = val.replace( - b'SEQ', tools.to_bytes(str(seq + 1))) - fsw.property(pname, val) - - # Add data for 'fdt' nodes (but not 'config') - if depth == 1 and in_images: - fsw.property('data', - tools.read_file(fname)) - else: - if self._fdts is None: - if self._fit_list_prop: - self.Raise("Generator node requires '%s' entry argument" % - self._fit_list_prop.value) - else: - self.Raise("Generator node requires 'fit,fdt-list' property") + _generate_node(subnode, depth, in_images) else: with fsw.add_node(subnode.name): _AddNode(base_node, depth + 1, subnode)