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214 lines
6.5 KiB
Python
Executable File
214 lines
6.5 KiB
Python
Executable File
#! /usr/bin/python3
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# Simple script to parse specs and produce CSV files.
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# Released by Rusty Russell under CC0:
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# https://creativecommons.org/publicdomain/zero/1.0/
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# Outputs:
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#
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# Standard message types:
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# msgtype,<msgname>,<value>[,<option>]
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# msgdata,<msgname>,<fieldname>,<typename>,[<count>][,<option>]
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#
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# TLV types:
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# tlvtype,<tlvstreamname>,<tlvname>,<value>[,<option>]
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# tlvdata,<tlvstreamname>,<tlvname>,<fieldname>,<typename>,[<count>][,<option>]
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#
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# Subtypes:
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# subtype,<msgname>[,<option>]
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# subtypedata,<msgname>,<fieldname>,<typename>,[<count>][,<option>]
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from optparse import OptionParser
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import sys
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import re
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import fileinput
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# We allow either ordered or unordered lists.
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typeline = re.compile(
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'(1\.|\*) type: (?P<value>[-0-9A-Za-z_|]+) \(`(?P<name>[A-Za-z0-9_]+)`\)( \(`?(?P<option>[^)`]*)`\))?')
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tlvline = re.compile(
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'(1\.|\*) `tlv_stream`: `(?P<name>[A-Za-z0-9_]+)`( \(`?(?P<option>[^)`]*)`\))?')
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subtypeline = re.compile(
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'(1\.|\*) subtype: `(?P<name>[A-Za-z0-9_]+)`( \(`?(?P<option>[^)`]*)`\))?')
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dataline = re.compile(
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'\s+([0-9]+\.|\*) \[`(?P<typefield>[-._a-zA-Z0-9*+]+)`:`(?P<name>[_a-z0-9]+)`\]( \(`?(?P<option>[^)`]*)`?\))?')
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datastartline = re.compile(
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'(2\.|\*) data:')
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tlvtypesline = re.compile(
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'(2\.|\*) types:')
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# Generator to give us one line at a time.
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def next_line(args, lines):
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if lines is None:
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lines = fileinput.input(args)
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for i, line in enumerate(lines):
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yield i, line.rstrip()
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# Helper to print a line to output with optional ,option
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def print_csv(output, fmt, option):
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print(fmt, file=output, end='')
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if option:
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print(',{}'.format(option), file=output)
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else:
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print('', file=output)
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# 1. type: 17 (`error`) (`optionXXX`)
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# 2. data:
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# * [`short_channel_id`:`channel_id`]
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# * [`u16`:`num_inputs`]
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# * [`num_inputs*sha256`:`input_info`]
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# * [`u32`:`len`] (optionYYY)
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# * [`len*byte`:`data`] (optionYYY)
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#
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# output:
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# msgtype,error,17,optionXXX
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# msgdata,error,channel_id,short_channel_id,
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# msgdata,error,num_inputs,u16,
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# msgdata,error,input_info,sha256,num_inputs
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# msgdata,error,len,u32,,optionYYY
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# msgdata,error,data,byte,len,optionYYY
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#
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# 1. type: PERM|NODE|3 (`required_node_feature_missing`)
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#
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# output:
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# msgtype,required_node_feature_missing,PERM|NODE|3
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#
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# 1. type: 261 (`query_short_channel_ids`) (`gossip_queries`)
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# 2. data:
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# * [`chain_hash`:`chain_hash`]
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# * [`u16`:`len`]
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# * [`len*byte`:`encoded_short_ids`]
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# * [`query_short_channel_ids_tlvs`:`tlvs`]
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#
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# output:
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# msgtype,query_short_channel_ids,261,gossip_queries
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# msgdata,query_short_channel_ids,chain_hash,chain_hash,
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# msgdata,query_short_channel_ids,len,u16,
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# msgdata,query_short_channel_ids,encoded_short_ids,byte,len
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# msgdata,query_short_channel_ids,tlvs,query_short_channel_ids_tlvs,
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def parse_type(genline, output, name, value, option, in_tlv=None):
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_, line = next(genline)
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if in_tlv:
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type_prefix='tlvtype,{}'.format(in_tlv)
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data_prefix='tlvdata,{}'.format(in_tlv)
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else:
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type_prefix='msgtype'
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data_prefix='msgdata'
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print_csv(output, '{},{},{}'.format(type_prefix, name, value), option)
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# Expect a data: line before values, if any
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if not datastartline.fullmatch(line.lstrip()):
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return _, line
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while True:
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i, line = next(genline)
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match = dataline.fullmatch(line)
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if not match:
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return _, line
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if '*' in match.group('typefield'):
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num,typename = match.group('typefield').split('*')
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else:
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num,typename = ("", match.group('typefield'))
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print_csv(output,
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"{},{},{},{},{}"
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.format(data_prefix, name, match.group('name'), typename, num),
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match.group('option'))
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# 1. tlvs: `query_short_channel_ids_tlvs`
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# 2. types:
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# 1. type: 1 (`query_flags`)
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# 2. data:
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# * [`byte`:`encoding_type`]
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# * [`...*byte`:`encoded_query_flags`]
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#
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# output:
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# tlvtype,query_short_channel_ids_tlvs,query_flags,1
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# tlvdata,query_short_channel_ids_tlvs,query_flags,encoding_type,byte,
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# tlvdata,query_short_channel_ids_tlvs,query_flags,encoded_query_flags,byte,...
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def parse_tlv(genline, output, name, option):
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i, line = next(genline)
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# Expect a types: line after tlvs.
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if not tlvtypesline.fullmatch(line):
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raise ValueError('{}: Expected "2. types:" line'.format(i))
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_, line = next(genline)
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while True:
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# Inside tlv, types are indented.
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match = typeline.fullmatch(line.lstrip())
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if not match:
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break
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_, line = parse_type(genline, output, match.group('name'), match.group('value'), match.group('option'), name)
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# 1. subtype: `input_info`
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# 2. data:
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# * [`u64`:`satoshis`]
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# * [`sha256`:`prevtx_txid`]
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#
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# output:
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# subtype,input_info
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# subtypedata,input_info,satoshis,u64,
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# subtypedata,input_info,prevtx_txid,sha256,
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def parse_subtype(genline, output, name, option):
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i, line = next(genline)
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# Expect a data: line after subtype.
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if not datastartline.fullmatch(line):
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raise ValueError('{}: Expected "2. data:" line'.format(i))
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print_csv(output, 'subtype,{}'.format(name), option)
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while True:
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i, line = next(genline)
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match = dataline.fullmatch(line)
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if not match:
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break
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if '*' in match.group('typefield'):
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num,typename = match.group('typefield').split('*')
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else:
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num,typename = ("", match.group('typefield'))
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print_csv(output,
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"{},{},{},{},{}"
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.format('subtypedata', name, match.group('name'), typename, num),
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match.group('option'))
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def main(options, args=None, output=sys.stdout, lines=None):
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genline = next_line(args, lines)
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try:
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while True:
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_, line = next(genline)
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match = typeline.fullmatch(line)
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if match:
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parse_type(genline, output, match.group('name'), match.group('value'), match.group('option'))
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continue
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match = tlvline.fullmatch(line)
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if match:
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parse_tlv(genline, output, match.group('name'), match.group('option'))
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continue
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match = subtypeline.fullmatch(line)
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if match:
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parse_subtype(genline, output, match.group('name'), match.group('option'))
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continue
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except StopIteration:
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pass
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if __name__ == "__main__":
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parser = OptionParser()
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(options, args) = parser.parse_args()
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main(options, args)
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