/
Program.cs
414 lines (358 loc) · 16.4 KB
/
Program.cs
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
using Azure;
using Azure.Search.Documents.Indexes;
using Azure.Search.Documents.Indexes.Models;
using Microsoft.Extensions.Configuration;
using System;
using System.Collections.Generic;
using System.Linq;
namespace EnrichwithAI
{
class Program
{
public static void Main(string[] args)
{
// Create service client
IConfigurationBuilder builder = new ConfigurationBuilder().AddJsonFile("appsettings.json");
IConfigurationRoot configuration = builder.Build();
string searchServiceUri = configuration["SearchServiceUri"];
string adminApiKey = configuration["SearchServiceAdminApiKey"];
string azureAiServicesKey = configuration["AzureAiServicesKey"];
SearchIndexClient indexClient = new SearchIndexClient(new Uri(searchServiceUri), new AzureKeyCredential(adminApiKey));
SearchIndexerClient indexerClient = new SearchIndexerClient(new Uri(searchServiceUri), new AzureKeyCredential(adminApiKey));
// Create or Update the data source
Console.WriteLine("Creating or updating the data source...");
SearchIndexerDataSourceConnection dataSource = CreateOrUpdateDataSource(indexerClient, configuration);
// Create the skills
Console.WriteLine("Creating the skills...");
OcrSkill ocrSkill = CreateOcrSkill();
MergeSkill mergeSkill = CreateMergeSkill();
EntityRecognitionSkill entityRecognitionSkill = CreateEntityRecognitionSkill();
LanguageDetectionSkill languageDetectionSkill = CreateLanguageDetectionSkill();
SplitSkill splitSkill = CreateSplitSkill();
KeyPhraseExtractionSkill keyPhraseExtractionSkill = CreateKeyPhraseExtractionSkill();
// Create the skillset
Console.WriteLine("Creating or updating the skillset...");
List<SearchIndexerSkill> skills = new List<SearchIndexerSkill>();
skills.Add(ocrSkill);
skills.Add(mergeSkill);
skills.Add(languageDetectionSkill);
skills.Add(splitSkill);
skills.Add(entityRecognitionSkill);
skills.Add(keyPhraseExtractionSkill);
SearchIndexerSkillset skillset = CreateOrUpdateDemoSkillSet(indexerClient, skills, azureAiServicesKey);
// Create the index
Console.WriteLine("Creating the index...");
SearchIndex demoIndex = CreateDemoIndex(indexClient);
// Create the indexer, map fields, and execute transformations
Console.WriteLine("Creating the indexer and executing the pipeline...");
SearchIndexer demoIndexer = CreateDemoIndexer(indexerClient, dataSource, skillset, demoIndex);
// Check indexer overall status
Console.WriteLine("Check the indexer overall status...");
CheckIndexerOverallStatus(indexerClient, demoIndexer);
}
private static SearchIndexerDataSourceConnection CreateOrUpdateDataSource(SearchIndexerClient indexerClient, IConfigurationRoot configuration)
{
SearchIndexerDataSourceConnection dataSource = new SearchIndexerDataSourceConnection(
name: "demodata",
type: SearchIndexerDataSourceType.AzureBlob,
connectionString: configuration["AzureBlobConnectionString"],
container: new SearchIndexerDataContainer("cog-search-demo"))
{
Description = "Demo files to demonstrate cognitive search capabilities."
};
// The data source does not need to be deleted if it was already created
// since we are using the CreateOrUpdate method
try
{
indexerClient.CreateOrUpdateDataSourceConnection(dataSource);
}
catch (Exception ex)
{
Console.WriteLine("Failed to create or update the data source\n Exception message: {0}\n", ex.Message);
ExitProgram("Cannot continue without a data source");
}
return dataSource;
}
private static OcrSkill CreateOcrSkill()
{
List<InputFieldMappingEntry> inputMappings = new List<InputFieldMappingEntry>();
inputMappings.Add(new InputFieldMappingEntry("image")
{
Source = "/document/normalized_images/*"
});
List<OutputFieldMappingEntry> outputMappings = new List<OutputFieldMappingEntry>();
outputMappings.Add(new OutputFieldMappingEntry("text")
{
TargetName = "text"
});
OcrSkill ocrSkill = new OcrSkill(inputMappings, outputMappings)
{
Description = "Extract text (plain and structured) from image",
Context = "/document/normalized_images/*",
DefaultLanguageCode = OcrSkillLanguage.En,
ShouldDetectOrientation = true
};
return ocrSkill;
}
private static MergeSkill CreateMergeSkill()
{
List<InputFieldMappingEntry> inputMappings = new List<InputFieldMappingEntry>();
inputMappings.Add(new InputFieldMappingEntry("text")
{
Source = "/document/content"
});
inputMappings.Add(new InputFieldMappingEntry("itemsToInsert")
{
Source = "/document/normalized_images/*/text"
});
inputMappings.Add(new InputFieldMappingEntry("offsets")
{
Source = "/document/normalized_images/*/contentOffset"
});
List<OutputFieldMappingEntry> outputMappings = new List<OutputFieldMappingEntry>();
outputMappings.Add(new OutputFieldMappingEntry("mergedText")
{
TargetName = "merged_text"
});
MergeSkill mergeSkill = new MergeSkill(inputMappings, outputMappings)
{
Description = "Create merged_text which includes all the textual representation of each image inserted at the right location in the content field.",
Context = "/document",
InsertPreTag = " ",
InsertPostTag = " "
};
return mergeSkill;
}
private static LanguageDetectionSkill CreateLanguageDetectionSkill()
{
List<InputFieldMappingEntry> inputMappings = new List<InputFieldMappingEntry>();
inputMappings.Add(new InputFieldMappingEntry("text")
{
Source = "/document/merged_text"
});
List<OutputFieldMappingEntry> outputMappings = new List<OutputFieldMappingEntry>();
outputMappings.Add(new OutputFieldMappingEntry("languageCode")
{
TargetName = "languageCode"
});
LanguageDetectionSkill languageDetectionSkill = new LanguageDetectionSkill(inputMappings, outputMappings)
{
Description = "Detect the language used in the document",
Context = "/document"
};
return languageDetectionSkill;
}
private static SplitSkill CreateSplitSkill()
{
List<InputFieldMappingEntry> inputMappings = new List<InputFieldMappingEntry>();
inputMappings.Add(new InputFieldMappingEntry("text")
{
Source = "/document/merged_text"
});
inputMappings.Add(new InputFieldMappingEntry("languageCode")
{
Source = "/document/languageCode"
});
List<OutputFieldMappingEntry> outputMappings = new List<OutputFieldMappingEntry>();
outputMappings.Add(new OutputFieldMappingEntry("textItems")
{
TargetName = "pages",
});
SplitSkill splitSkill = new SplitSkill(inputMappings, outputMappings)
{
Description = "Split content into pages",
Context = "/document",
TextSplitMode = TextSplitMode.Pages,
MaximumPageLength = 4000,
DefaultLanguageCode = SplitSkillLanguage.En
};
return splitSkill;
}
private static EntityRecognitionSkill CreateEntityRecognitionSkill()
{
List<InputFieldMappingEntry> inputMappings = new List<InputFieldMappingEntry>();
inputMappings.Add(new InputFieldMappingEntry("text")
{
Source = "/document/pages/*"
});
List<OutputFieldMappingEntry> outputMappings = new List<OutputFieldMappingEntry>();
outputMappings.Add(new OutputFieldMappingEntry("organizations")
{
TargetName = "organizations"
});
EntityRecognitionSkill entityRecognitionSkill = new EntityRecognitionSkill(inputMappings, outputMappings)
{
Description = "Recognize organizations",
Context = "/document/pages/*",
DefaultLanguageCode = EntityRecognitionSkillLanguage.En
};
entityRecognitionSkill.Categories.Add(EntityCategory.Organization);
return entityRecognitionSkill;
}
private static KeyPhraseExtractionSkill CreateKeyPhraseExtractionSkill()
{
List<InputFieldMappingEntry> inputMappings = new List<InputFieldMappingEntry>();
inputMappings.Add(new InputFieldMappingEntry("text")
{
Source = "/document/pages/*"
});
inputMappings.Add(new InputFieldMappingEntry("languageCode")
{
Source = "/document/languageCode"
});
List<OutputFieldMappingEntry> outputMappings = new List<OutputFieldMappingEntry>();
outputMappings.Add(new OutputFieldMappingEntry("keyPhrases")
{
TargetName = "keyPhrases"
});
KeyPhraseExtractionSkill keyPhraseExtractionSkill = new KeyPhraseExtractionSkill(inputMappings, outputMappings)
{
Description = "Extract the key phrases",
Context = "/document/pages/*",
DefaultLanguageCode = KeyPhraseExtractionSkillLanguage.En
};
return keyPhraseExtractionSkill;
}
private static SearchIndexerSkillset CreateOrUpdateDemoSkillSet(SearchIndexerClient indexerClient, IList<SearchIndexerSkill> skills,string azureAiServicesKey)
{
// Azure AI services was formerly known as Cognitive Services.
// The APIs still use the old name, so we need to create a CognitiveServicesAccountKey object
SearchIndexerSkillset skillset = new SearchIndexerSkillset("demoskillset", skills)
{
Description = "Demo skillset",
CognitiveServicesAccount = new CognitiveServicesAccountKey(azureAiServicesKey)
};
// Create the skillset in your search service.
// The skillset does not need to be deleted if it was already created
// since we are using the CreateOrUpdate method
try
{
indexerClient.CreateOrUpdateSkillset(skillset);
}
catch (RequestFailedException ex)
{
Console.WriteLine("Failed to create the skillset\n Exception message: {0}\n", ex.Message);
ExitProgram("Cannot continue without a skillset");
}
return skillset;
}
private static SearchIndex CreateDemoIndex(SearchIndexClient indexClient)
{
FieldBuilder builder = new FieldBuilder();
var index = new SearchIndex("demoindex")
{
Fields = builder.Build(typeof(DemoIndex))
};
try
{
indexClient.GetIndex(index.Name);
indexClient.DeleteIndex(index.Name);
}
catch (RequestFailedException ex) when (ex.Status == 404)
{
//if the specified index not exist, 404 will be thrown.
}
try
{
indexClient.CreateIndex(index);
}
catch (RequestFailedException ex)
{
Console.WriteLine("Failed to create the index\n Exception message: {0}\n", ex.Message);
ExitProgram("Cannot continue without an index");
}
return index;
}
private static SearchIndexer CreateDemoIndexer(SearchIndexerClient indexerClient, SearchIndexerDataSourceConnection dataSource, SearchIndexerSkillset skillSet, SearchIndex index)
{
IndexingParameters indexingParameters = new IndexingParameters()
{
MaxFailedItems = -1,
MaxFailedItemsPerBatch = -1,
};
indexingParameters.Configuration.Add("dataToExtract", "contentAndMetadata");
indexingParameters.Configuration.Add("imageAction", "generateNormalizedImages");
SearchIndexer indexer = new SearchIndexer("demoindexer", dataSource.Name, index.Name)
{
Description = "Demo Indexer",
SkillsetName = skillSet.Name,
Parameters = indexingParameters
};
FieldMappingFunction mappingFunction = new FieldMappingFunction("base64Encode");
mappingFunction.Parameters.Add("useHttpServerUtilityUrlTokenEncode", true);
indexer.FieldMappings.Add(new FieldMapping("metadata_storage_path")
{
TargetFieldName = "id",
MappingFunction = mappingFunction
});
indexer.FieldMappings.Add(new FieldMapping("content")
{
TargetFieldName = "content"
});
indexer.OutputFieldMappings.Add(new FieldMapping("/document/pages/*/organizations/*")
{
TargetFieldName = "organizations"
});
indexer.OutputFieldMappings.Add(new FieldMapping("/document/pages/*/keyPhrases/*")
{
TargetFieldName = "keyPhrases"
});
indexer.OutputFieldMappings.Add(new FieldMapping("/document/languageCode")
{
TargetFieldName = "languageCode"
});
try
{
indexerClient.GetIndexer(indexer.Name);
indexerClient.DeleteIndexer(indexer.Name);
}
catch (RequestFailedException ex) when (ex.Status == 404)
{
//if the specified indexer not exist, 404 will be thrown.
}
try
{
indexerClient.CreateIndexer(indexer);
}
catch (RequestFailedException ex)
{
Console.WriteLine("Failed to create the indexer\n Exception message: {0}\n", ex.Message);
ExitProgram("Cannot continue without creating an indexer");
}
return indexer;
}
private static void CheckIndexerOverallStatus(SearchIndexerClient indexerClient, SearchIndexer indexer)
{
try
{
var demoIndexerExecutionInfo = indexerClient.GetIndexerStatus(indexer.Name);
switch (demoIndexerExecutionInfo.Value.Status)
{
case IndexerStatus.Error:
ExitProgram("Indexer has error status. Check the Azure Portal to further understand the error.");
break;
case IndexerStatus.Running:
Console.WriteLine("Indexer is running");
break;
case IndexerStatus.Unknown:
Console.WriteLine("Indexer status is unknown");
break;
default:
Console.WriteLine("No indexer information");
break;
}
}
catch (RequestFailedException ex)
{
Console.WriteLine("Failed to get indexer overall status\n Exception message: {0}\n", ex.Message);
}
}
private static void ExitProgram(string message)
{
Console.WriteLine("{0}", message);
Console.WriteLine("Press any key to exit the program...");
Console.ReadKey();
Environment.Exit(0);
}
}
}