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Merge pull request byzer-org#584 from allwefantasy/mlsql
remove ImageJavaSpec/ImageSpec
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streamingpro-mlsql/src/test/scala/streaming/test/image/ImageJavaSpec.scala
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| @@ -1,68 +1,68 @@ | ||
| package streaming.test.image | ||
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| import java.io.File | ||
| import javax.imageio.ImageIO | ||
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| import org.apache.spark.sql.Row | ||
| import org.apache.spark.sql.types._ | ||
| import org.apache.spark.streaming.BasicSparkOperation | ||
| import streaming.core.strategy.platform.SparkRuntime | ||
| import streaming.core.{BasicMLSQLConfig, NotToRunTag, SpecFunctions} | ||
| import streaming.dsl.ScriptSQLExec | ||
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| /** | ||
| * Created by zhuml on 4/6/2018. | ||
| */ | ||
| class ImageJavaSpec extends BasicSparkOperation with SpecFunctions with BasicMLSQLConfig { | ||
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| import streaming.dsl.mmlib.algs.processing.SQLJavaImage | ||
| import streaming.dsl.mmlib.algs.processing.image.ImageOp | ||
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| "image-process" should "work fine" taggedAs (NotToRunTag) in { | ||
| withBatchContext(setupBatchContext(batchParams, "classpath:///test/empty.json")) { runtime: SparkRuntime => | ||
| //执行sql | ||
| implicit val spark = runtime.sparkSession | ||
| // | ||
| val dataRDD = spark.sparkContext.parallelize(Seq( | ||
| Seq("https://tpc.googlesyndication.com/simgad/10310202961328364833"))).map { f => | ||
| Row.fromSeq(f) | ||
| } | ||
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| val df = spark.createDataFrame(dataRDD, | ||
| StructType(Seq( | ||
| StructField("imagePath", StringType) | ||
| ))) | ||
| df.createOrReplaceTempView("orginal_text_corpus") | ||
| var newDF = spark.sql("select crawler_request_image(imagePath) as image from orginal_text_corpus") | ||
| newDF = new SQLJavaImage().interval_train(newDF, "/tmp/image", Map("inputCol" -> "image", "shape" -> "100,100,4")) | ||
| newDF.createOrReplaceTempView("wow") | ||
| newDF.collect().foreach { r => | ||
| val image = ImageOp.byte2image(r.getStruct(0)(5).asInstanceOf[Array[Byte]]) | ||
| ImageIO.write(image, ImageOp.imageFormat(r.getStruct(0)(5).asInstanceOf[Array[Byte]]), new File("/tmp/image.png")) | ||
| } | ||
| val cv = new SQLJavaImage() | ||
| val model = cv.load(spark, "/tmp/image", Map()) | ||
| val jack = cv.predict(spark, model, "jack", Map()) | ||
| spark.udf.register("jack", jack) | ||
| val a = spark.sql("select * from wow").toJSON.collect() | ||
| val b = spark.sql("select jack(crawler_request_image(imagePath)) as image from orginal_text_corpus").toJSON.collect() | ||
| assume(a.head == b.head) | ||
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| spark.sql("select vec_image(jack(crawler_request_image(imagePath))) as image from orginal_text_corpus").show(false) | ||
| } | ||
| } | ||
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| "image-without-decode-read-path" should "work fine" taggedAs (NotToRunTag) in { | ||
| withBatchContext(setupBatchContext(batchParams, "classpath:///test/empty.json")) { runtime: SparkRuntime => | ||
| //执行sql | ||
| implicit val spark = runtime.sparkSession | ||
| val sq = createSSEL | ||
| ScriptSQLExec.parse("""load image.`/Users/zml/dxy/streamingpro/images` options enableDecode="false" as images ;""", sq) | ||
| val df = spark.sql("select * from images"); | ||
| var newDF = new SQLJavaImage().interval_train(df, "/tmp/image", Map("inputCol" -> "image", "shape" -> "100,100,4")) | ||
| newDF.createOrReplaceTempView("wow") | ||
| spark.sql("select image.* from wow").show(false) | ||
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| } | ||
| } | ||
| } | ||
| //package streaming.test.image | ||
| // | ||
| //import java.io.File | ||
| //import javax.imageio.ImageIO | ||
| // | ||
| //import org.apache.spark.sql.Row | ||
| //import org.apache.spark.sql.types._ | ||
| //import org.apache.spark.streaming.BasicSparkOperation | ||
| //import streaming.core.strategy.platform.SparkRuntime | ||
| //import streaming.core.{BasicMLSQLConfig, NotToRunTag, SpecFunctions} | ||
| //import streaming.dsl.ScriptSQLExec | ||
| // | ||
| ///** | ||
| // * Created by zhuml on 4/6/2018. | ||
| // */ | ||
| //class ImageJavaSpec extends BasicSparkOperation with SpecFunctions with BasicMLSQLConfig { | ||
| // | ||
| // import streaming.dsl.mmlib.algs.processing.SQLJavaImage | ||
| // import streaming.dsl.mmlib.algs.processing.image.ImageOp | ||
| // | ||
| // "image-process" should "work fine" taggedAs (NotToRunTag) in { | ||
| // withBatchContext(setupBatchContext(batchParams, "classpath:///test/empty.json")) { runtime: SparkRuntime => | ||
| // //执行sql | ||
| // implicit val spark = runtime.sparkSession | ||
| // // | ||
| // val dataRDD = spark.sparkContext.parallelize(Seq( | ||
| // Seq("https://tpc.googlesyndication.com/simgad/10310202961328364833"))).map { f => | ||
| // Row.fromSeq(f) | ||
| // } | ||
| // | ||
| // val df = spark.createDataFrame(dataRDD, | ||
| // StructType(Seq( | ||
| // StructField("imagePath", StringType) | ||
| // ))) | ||
| // df.createOrReplaceTempView("orginal_text_corpus") | ||
| // var newDF = spark.sql("select crawler_request_image(imagePath) as image from orginal_text_corpus") | ||
| // newDF = new SQLJavaImage().interval_train(newDF, "/tmp/image", Map("inputCol" -> "image", "shape" -> "100,100,4")) | ||
| // newDF.createOrReplaceTempView("wow") | ||
| // newDF.collect().foreach { r => | ||
| // val image = ImageOp.byte2image(r.getStruct(0)(5).asInstanceOf[Array[Byte]]) | ||
| // ImageIO.write(image, ImageOp.imageFormat(r.getStruct(0)(5).asInstanceOf[Array[Byte]]), new File("/tmp/image.png")) | ||
| // } | ||
| // val cv = new SQLJavaImage() | ||
| // val model = cv.load(spark, "/tmp/image", Map()) | ||
| // val jack = cv.predict(spark, model, "jack", Map()) | ||
| // spark.udf.register("jack", jack) | ||
| // val a = spark.sql("select * from wow").toJSON.collect() | ||
| // val b = spark.sql("select jack(crawler_request_image(imagePath)) as image from orginal_text_corpus").toJSON.collect() | ||
| // assume(a.head == b.head) | ||
| // | ||
| // spark.sql("select vec_image(jack(crawler_request_image(imagePath))) as image from orginal_text_corpus").show(false) | ||
| // } | ||
| // } | ||
| // | ||
| // "image-without-decode-read-path" should "work fine" taggedAs (NotToRunTag) in { | ||
| // withBatchContext(setupBatchContext(batchParams, "classpath:///test/empty.json")) { runtime: SparkRuntime => | ||
| // //执行sql | ||
| // implicit val spark = runtime.sparkSession | ||
| // val sq = createSSEL | ||
| // ScriptSQLExec.parse("""load image.`/Users/zml/dxy/streamingpro/images` options enableDecode="false" as images ;""", sq) | ||
| // val df = spark.sql("select * from images"); | ||
| // var newDF = new SQLJavaImage().interval_train(df, "/tmp/image", Map("inputCol" -> "image", "shape" -> "100,100,4")) | ||
| // newDF.createOrReplaceTempView("wow") | ||
| // spark.sql("select image.* from wow").show(false) | ||
| // | ||
| // } | ||
| // } | ||
| //} |
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