Add a script to extract the dynamic attribute mappings from the client
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80
scripts/dynamicattributes.py
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80
scripts/dynamicattributes.py
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#!/usr/bin/env python2.7
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"""
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This script will generate a dynamicItemAttributes.json file using res files
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"""
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import argparse
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import os
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import re
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import sqlite3
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import json
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from PIL import Image
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from shutil import copyfile
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parser = argparse.ArgumentParser(description='This script updates module icons for pyfa')
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parser.add_argument('-e', '--eve', required=True, type=str, help='path to eve\'s ')
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parser.add_argument('-s', '--server', required=False, default='tq', type=str, help='which server to use (defaults to tq)')
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args = parser.parse_args()
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LOADER_FILE = 'app:/bin/dynamicItemAttributesLoader.pyd'
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RES_FILE = 'res:/staticdata/dynamicitemattributes.fsdbinary'
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binaryfile = os.path.split(RES_FILE)[1]
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eve_path = os.path.join(args.eve, 'index_{}.txt'.format(args.server))
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with open(eve_path, 'r') as f:
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lines = f.readlines()
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file_index = {x.split(',')[0]: x.split(',') for x in lines}
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resfileindex = file_index['app:/resfileindex.txt']
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res_cache = os.path.join(args.eve, 'ResFiles')
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with open(os.path.join(res_cache, resfileindex[1]), 'r') as f:
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lines = f.readlines()
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res_index = {x.split(',')[0].lower(): x.split(',') for x in lines}
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# Need to copy the file to our cuirrent directory
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attribute_loader_file = os.path.join(res_cache, file_index[LOADER_FILE][1])
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to_path = os.path.dirname(os.path.abspath(__file__))
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copyfile(attribute_loader_file, os.path.join(os.path.dirname(os.path.abspath(__file__)), os.path.split(LOADER_FILE)[1]))
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# The loader expect it to be the correct filename, so copy trhe file as well
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dynattribute_file = os.path.join(res_cache, res_index[RES_FILE.lower()][1])
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to_path = os.path.dirname(os.path.abspath(__file__))
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copyfile(dynattribute_file, os.path.join(os.path.dirname(os.path.abspath(__file__)), binaryfile))
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import dynamicItemAttributesLoader
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attributes = dynamicItemAttributesLoader.load(os.path.join(to_path, binaryfile))
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attributes_obj = {}
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# convert top level to dict
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attributes = dict(attributes)
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# This is such a brute force method. todo: recursively generate this by inspecting the objects
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for k, v in attributes.items():
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attributes_obj[k] = {
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'attributeIDs': dict(v.attributeIDs),
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'inputOutputMapping': list(v.inputOutputMapping)
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}
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for i, x in enumerate(v.inputOutputMapping):
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attributes_obj[k]['inputOutputMapping'][i] = {
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'resultingType': x.resultingType,
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'applicableTypes': list(x.applicableTypes)
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}
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for k2, v2 in v.attributeIDs.items():
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attributes_obj[k]['attributeIDs'][k2] = {
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'min': v2.min,
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'max': v2.max
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}
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with open('dynamicattributes.json', 'w') as outfile:
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json.dump(attributes_obj, outfile)
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