Mercurial > hg > drupalISMI
annotate importFromOpenMind/importer/ismi2model.py @ 32:ce12475d2109
fix bug with normalized type attribute.
author | casties |
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date | Fri, 22 Jan 2016 20:41:25 +0100 |
parents | 1a1877812757 |
children | 7e2e344c3b87 |
rev | line source |
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1 import urllib.request |
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2 import json |
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3 import networkx |
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4 import sys |
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5 |
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6 ## configure behaviour |
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7 |
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8 # output filename |
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9 output_fn = "ismi_graph.gpickle" |
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10 |
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11 # OpenMind base URL |
28 | 12 baseURL="http://localhost:18080/om4-ismi/jsonInterface?" |
32 | 13 #baseURL="http://localhost:18080/ismi-richfaces/jsonInterface?" |
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14 |
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15 # node types to exclude from the graph |
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16 exclude_objects_of_type = ['DIGITALIZATION', 'REFERENCE'] |
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17 |
27 | 18 # attributes to exclude |
19 exclude_attributes_of_type = [ | |
20 'lw', | |
21 'node_type', | |
22 'nov', | |
23 'notes_old' | |
24 ] | |
25 | |
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26 |
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27 entsURL=baseURL+"method=get_ents&oc=%s" |
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28 |
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29 entsByIdURL = baseURL+"method=get_ents&include_content=True&ids=%s" |
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30 |
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31 entURL=baseURL+"method=get_ent&id=%s&include_content=True" |
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32 |
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33 |
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34 def readJSON(url): |
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35 #print("JSON loading %s"%url) |
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36 wsh=urllib.request.urlopen(url) |
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37 txt = wsh.read() |
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38 return json.loads(txt.decode("utf-8")) |
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39 |
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40 defs_json = readJSON(baseURL+"method=get_defs") |
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41 |
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42 # current list of all definitions |
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43 ismi_defs = [atts['ov'] for atts in defs_json['defs']] |
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44 |
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45 #ismi_types=["PERSON","WITNESS","CODEX","PLACE","COLLECTION","REPOSITORY"] |
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46 |
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47 |
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48 nx_graph = networkx.MultiDiGraph() |
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49 |
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50 nx_nodes = {} |
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51 ismi_relations = {} |
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52 nx_relations = {} |
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53 |
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54 |
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55 def fixName(name, is_src_rel=False, is_tar_rel=False, att_from_rel=False): |
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56 # these are too embarrassing... |
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57 if 'FLORUIT' in name: |
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58 name = name.replace('FLORUIT', 'FLOURISH') |
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59 |
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60 elif 'floruit' in name: |
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61 name = name.replace('floruit', 'flourish') |
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62 |
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63 if is_src_rel: |
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64 #name = name + '>' |
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65 pass |
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66 |
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67 if is_tar_rel: |
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68 name = '<' + name |
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69 |
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70 if att_from_rel: |
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71 # clean up relations as attribute names |
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72 name = name.replace('is_', '') |
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73 name = name.replace('has_', '') |
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74 name = name.replace('was_', '') |
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75 name = name.replace('_of', '') |
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76 |
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77 return name |
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78 |
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79 |
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80 def nodeFromEnt(ent, etype): |
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81 """Create a Neo4J node from the given JSON entity. |
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82 |
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83 Creates the node in gdb and returns the node. |
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84 """ |
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85 attrs = {} |
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86 # go through all attributes |
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87 for att in ent['atts']: |
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88 ct = att.get('content_type', None) |
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89 if ct is None or ct.lower() in ['text', 'arabic', 'bool', 'boolean', 'url', 'language']: |
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90 # normal text attribute (assume no content_type is text too...) |
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91 key = att['name'] |
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92 val = att['ov'] |
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93 |
27 | 94 if key in exclude_attributes_of_type: |
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95 # exclude attribute |
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96 continue |
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97 |
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98 # keep attribute |
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99 attrs[key] = val |
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100 if 'nov' in att: |
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101 # add normalized value |
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102 attrs['_n_'+key] = att['nov'] |
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103 |
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104 elif ct == 'num': |
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105 # number attribute |
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106 key = att['name'] |
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107 val = att['ov'] |
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108 |
27 | 109 if key in exclude_attributes_of_type: |
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110 # exclude attribute |
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111 continue |
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112 |
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113 # keep attribute, assume num is int |
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114 attrs[key] = int(val) |
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115 |
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116 elif ct == 'date': |
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117 # date attribute |
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118 key = att['name'] |
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119 val = att['ov'] |
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120 # try to parse date object to get gregorian year |
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121 try: |
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122 year = None |
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123 date_json = json.loads(val) |
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124 if 'from' in date_json: |
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125 year = date_json['from'].get('year', None) |
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126 elif 'date' in date_json: |
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127 year = date_json['date'].get('year', None) |
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128 else: |
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129 print("don't know what to do with date on %s: %s=%s"%(ent['id'],key,val)) |
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130 |
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131 if year is not None: |
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132 attrs[key] = year |
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133 |
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134 except: |
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135 print("ERROR: invalid JSON in date: %s"%repr(val)) |
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136 |
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137 elif ct == 'old': |
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138 # ignore attribute |
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139 continue |
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140 |
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141 else: |
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142 print("WARN: attribute with unknown content_type: %s"%repr(att)) |
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143 # ignore other content types |
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144 continue |
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145 |
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146 # process base attributes |
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147 oc = ent['oc'] |
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148 if oc != etype: |
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149 print("ERROR: entity type doesn't match!") |
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150 return None |
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151 |
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152 # rename if type attr exists |
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153 if 'type' in attrs: |
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154 attrs['type2'] = attrs['type'] |
32 | 155 if '_n_type' in attrs: |
156 # rename normalized attribute | |
157 attrs['_n_type2'] = attrs['_n_type'] | |
158 del attrs['n_type'] | |
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159 |
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160 # set type |
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161 attrs['type'] = fixName(oc) |
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162 |
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163 ismi_id = ent['id'] |
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164 # rename id to ismi_id |
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165 attrs['ismi_id'] = ismi_id |
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166 |
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167 ov = ent.get('ov', None) |
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168 if ov is not None: |
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169 # save ov as label |
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170 attrs['label'] = ov |
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171 if 'nov' in ent: |
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172 # add normalized value |
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173 attrs['_n_label'] = ent.get('nov') |
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174 |
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175 nx_graph.add_node(ismi_id, **attrs) |
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176 node = nx_graph.node[ismi_id] |
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177 |
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178 return node |
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179 |
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180 |
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181 def relsFromEnt(ent, relations): |
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182 """Extract all relations from JSON entity. |
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183 |
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184 Adds JSON to dict relations under relation's id. |
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185 """ |
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186 # go through src_rels and tar_rels |
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187 rels = ent.get('src_rels', []) + ent.get('tar_rels', []) |
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188 for rel in rels: |
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189 src_type = rel['src_oc'] |
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190 tar_type = rel['tar_oc'] |
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191 if src_type in exclude_objects_of_type or tar_type in exclude_objects_of_type: |
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192 # skip relation to excluded objects |
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193 continue |
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194 |
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195 rel_id = rel['id'] |
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196 if rel_id in relations: |
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197 old_rel = relations[rel_id] |
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198 if rel != old_rel: |
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199 print("ERROR: relation is different: %s != %s"%(repr(rel), repr(old_rel))) |
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200 continue |
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201 |
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202 relations[rel_id] = rel |
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203 |
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204 return relations |
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205 |
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206 |
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207 def relationsFromRels(rels, nodes): |
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208 """Create relations in Neo4J. |
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209 |
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210 Args: |
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211 rels: dict of JSON relations |
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212 nodes: dict of existing Neo4J nodes |
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213 Returns: |
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214 dict of Neo4J relations |
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215 """ |
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216 # go through all rels |
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217 print("importing %s relations"%len(rels)) |
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218 cnt = 0 |
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219 for rel in rels.values(): |
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220 cnt += 1 |
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221 if cnt % 100 == 0: |
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222 print(" %s relations"%cnt) |
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223 |
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224 rel_id = rel['id'] |
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225 rel_name = rel['name'] |
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226 src_id = rel['src_id'] |
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227 tar_id = rel['tar_id'] |
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228 if not src_id in nodes: |
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229 print("ERROR: relation %s src node %s missing!"%(rel_id,src_id)) |
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230 continue |
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231 |
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232 if not tar_id in nodes: |
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233 print("ERROR: relation %s tar node %s missing!"%(rel_id,tar_id)) |
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234 continue |
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235 |
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236 # create relation with type |
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237 nx_rel = nx_graph.add_edge(src_id, tar_id, type=fixName(rel_name), ismi_id=rel_id) |
19
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238 |
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239 nx_relations[rel_id] = nx_rel |
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240 |
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241 return nx_relations |
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242 |
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243 |
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244 def importEnts(etype): |
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245 """Import all entities of the given type. |
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246 """ |
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247 # read json for all entities of given type |
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248 json = readJSON(entsURL%etype) |
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249 ents = json['ents'] |
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250 print("importing %s %ss"%(len(ents),etype)) |
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251 size = 100 |
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252 batches = [ents[pos:pos + size] for pos in range(0, len(ents), size)] |
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253 cnt = 0 |
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254 for batch in batches: |
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255 cnt += size |
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256 if cnt % 100 == 0: |
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257 print(" %s %ss"%(cnt, etype)) |
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258 |
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259 # extract list of ismi ids |
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260 ismi_ids = [str(ent['id']) for ent in batch] |
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261 |
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262 # fetch full data for list of entities |
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263 ent_json = readJSON(entsByIdURL%','.join(ismi_ids)) |
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264 ents_data = ent_json['ents'] |
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265 |
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266 # iterate through results batch |
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267 for ent_data in ents_data: |
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268 ismi_id = ent_data['id'] |
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269 if ismi_id in nx_nodes: |
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270 print("ERROR: entity with id=%s exists!"%ismi_id) |
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271 return |
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272 |
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273 # create networkx node |
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274 node = nodeFromEnt(ent_data, etype) |
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275 |
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276 # save node reference |
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277 nx_nodes[ismi_id] = node |
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278 |
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279 # extract relations |
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280 relsFromEnt(ent_data, ismi_relations) |
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281 |
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282 #if cnt >= 100: |
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283 # return |
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284 |
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285 |
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286 # In[119]: |
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|
287 |
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288 def importAllEnts(etypes): |
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289 |
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290 for etype in etypes: |
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291 if etype in exclude_objects_of_type: |
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292 # skip this type |
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293 continue |
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294 |
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295 importEnts(etype) |
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296 |
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297 relationsFromRels(ismi_relations, nx_nodes) |
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298 |
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299 |
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300 ## main |
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301 |
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302 print("Copy graph from OpenMind to networkx pickle") |
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303 |
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304 # parse command line parameters |
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305 if len(sys.argv) > 1: |
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306 output_fn = sys.argv[1] |
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307 |
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308 # import everything |
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309 print("Reading graph from OpenMind at %s"%baseURL) |
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310 if len(exclude_objects_of_type) > 0: |
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311 print(" Skipping objects of type %s"%exclude_objects_of_type); |
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312 |
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313 importAllEnts(ismi_defs) |
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314 #importAllEnts(['TEXT']) |
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315 |
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316 print("Graph info: %s"%networkx.info(nx_graph)) |
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317 #print(" nodes:%s"%repr(nx_graph.nodes(data=True))) |
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318 |
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319 # export pickle |
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320 networkx.write_gpickle(nx_graph, output_fn) |
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321 print("Wrote networkx pickle file %s"%output_fn) |