lewismc edited a comment on pull request #4:
URL: https://github.com/apache/tika-docker/pull/4#issuecomment-848865170
@philipsoutham I can replicate the build and test results
```
404c9ade89429296fb846060d2d3f13105b6f9b1bf8d96e9998fae304470c863
Image: apache/tika:1.26 - Passed
1.26
1.26
d0bb05c60afff50ed8d6c84995984dc7d8ecd0cedce8e044f9f60470bcc4aac9
Image: apache/tika:1.26-full - Passed
1.26-full
1.26-full
```
I experienced NO issues with the docker compositions for
`docker-compose-tika-customocr.yml`, `docker-compose-tika-grobid.yml` or
`docker-compose-tika-ner.yml`.
I was **UNABLE** to reproduce the issue you describe above regarding the NER
example. Can you provide more detail so I can reproduce?
I did experience an issue with `docker-compose-tika-vision.yml`
```
Attaching to inception-caption_1, inception-rest_1, inception-video_1, tika_1
inception-caption_1 | INFO:tensorflow:Building model.
inception-video_1 | 2021-05-26 15:32:50.721748: I
tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports
instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2
AVX AVX2 FMA
inception-caption_1 | INFO:tensorflow:Initializing vocabulary from file:
/usr/share/apache-tika/models/dl/image/caption/1M_iters_ckpt/word_counts.txt
inception-caption_1 | INFO:tensorflow:Created vocabulary with 11520 words
inception-caption_1 | 2021-05-26 15:32:51.113950: I
tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports
instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2
AVX AVX2 FMA
inception-caption_1 | INFO:tensorflow:Loading model from checkpoint:
/usr/share/apache-tika/models/dl/image/caption/1M_iters_ckpt/model.ckpt-1000000
inception-caption_1 | INFO:tensorflow:Restoring parameters from
/usr/share/apache-tika/models/dl/image/caption/1M_iters_ckpt/model.ckpt-1000000
inception-video_1 | ('cv2.__version__', '3.2.0')
inception-video_1 | Serving on port 8764
inception-video_1 | * Serving Flask app "inceptionapi" (lazy loading)
inception-video_1 | * Environment: production
inception-video_1 | WARNING: Do not use the development server in a
production environment.
inception-video_1 | Use a production WSGI server instead.
inception-video_1 | * Debug mode: off
inception-video_1 | * Running on http://0.0.0.0:8764/ (Press CTRL+C to
quit)
inception-caption_1 | INFO:tensorflow:Successfully loaded checkpoint:
model.ckpt-1000000
inception-caption_1 | Serving on port 8764
inception-caption_1 | * Serving Flask app "im2txtapi" (lazy loading)
inception-caption_1 | * Environment: production
inception-caption_1 | WARNING: Do not use the development server in a
production environment.
inception-caption_1 | Use a production WSGI server instead.
inception-caption_1 | * Debug mode: off
inception-caption_1 | * Running on http://0.0.0.0:8764/ (Press CTRL+C to
quit)
tika_1 | May 26, 2021 3:32:53 PM
org.apache.tika.config.InitializableProblemHandler$3 handleInitializableProblem
tika_1 | WARNING: J2KImageReader not loaded. JPEG2000 files
will not be processed.
tika_1 | See
https://pdfbox.apache.org/2.0/dependencies.html#jai-image-io
tika_1 | for optional dependencies.
tika_1 |
tika_1 | May 26, 2021 3:32:53 PM
org.apache.tika.config.InitializableProblemHandler$3 handleInitializableProblem
tika_1 | WARNING: Tesseract OCR is installed and will be
automatically applied to image files unless
tika_1 | you've excluded the TesseractOCRParser from the
default parser.
tika_1 | Tesseract may dramatically slow down content
extraction (TIKA-2359).
tika_1 | As of Tika 1.15 (and prior versions), Tesseract is
automatically called.
tika_1 | In future versions of Tika, users may need to turn
the TesseractOCRParser on via TikaConfig.
tika_1 | May 26, 2021 3:32:53 PM
org.apache.tika.config.InitializableProblemHandler$3 handleInitializableProblem
tika_1 | WARNING: org.xerial's sqlite-jdbc is not loaded.
tika_1 | Please provide the jar on your classpath to parse
sqlite files.
tika_1 | See tika-parsers/pom.xml for the correct version.
tika_1 | INFO Starting Apache Tika 1.25 server
tika_1 | INFO Using custom config: /tika-config.xml
inception-caption_1 | 172.23.0.5 - - [26/May/2021 15:32:53] "GET
/inception/v3/ping HTTP/1.1" 200 -
tika_1 | INFO Available = true, API Status = HTTP/1.0 200 OK
tika_1 | INFO Captions = 5, MaxCaptionLength = 15
tika_1 | INFO Recogniser =
org.apache.tika.parser.captioning.tf.TensorflowRESTCaptioner
tika_1 | INFO Recogniser Available = true
tika_1 | INFO Setting the server's publish address to be
http://0.0.0.0:9998/
tika_1 | INFO Logging initialized @1803ms to
org.eclipse.jetty.util.log.Slf4jLog
tika_1 | INFO jetty-9.4.33.v20201020; built:
2020-10-20T23:39:24.803Z; git: 1be68755656cef678b79a2ef1c2ebbca99e25420; jvm
14.0.2+12-Ubuntu-120.04
tika_1 | INFO Started ServerConnector@1d8e2eea{HTTP/1.1,
(http/1.1)}{0.0.0.0:9998}
tika_1 | INFO Started @1870ms
tika_1 | WARN Empty contextPath
tika_1 | INFO Started
o.e.j.s.h.ContextHandler@48b0e701{/,null,AVAILABLE}
tika_1 | INFO Started Apache Tika server at
http://0.0.0.0:9998/
inception-rest_1 | 2021-05-26 15:32:54.352046: I
tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports
instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2
AVX AVX2 FMA
inception-rest_1 | Can't import video libraries, No video functionality
is available
inception-rest_1 | Serving on port 8764
inception-rest_1 | * Serving Flask app "inceptionapi" (lazy loading)
inception-rest_1 | * Environment: production
inception-rest_1 | WARNING: Do not use the development server in a
production environment.
inception-rest_1 | Use a production WSGI server instead.
inception-rest_1 | * Debug mode: off
inception-rest_1 | * Running on http://0.0.0.0:8764/ (Press CTRL+C to
quit)
tika_1 | WARN Both
org.apache.tika.server.resource.TikaResource#getHTML and
org.apache.tika.server.resource.TikaResource#getText are equal candidates for
handling the current request which can lead to unpredictable results
tika_1 | WARN Both
org.apache.tika.server.resource.TikaResource#getXML and
org.apache.tika.server.resource.TikaResource#getText are equal candidates for
handling the current request which can lead to unpredictable results
tika_1 | INFO tika (application/pdf)
tika_1 | WARN The directory /tmp has very little usable
temporary space. Operations requiring temporary files may fail.
```
When I attempt an extraction I get nothing
`curl -X PUT --data-binary @/Users/lmcgibbn/Desktop/applsci-10-01127.pdf
http://localhost:9998/tika --header "Content-type: application/pdf"`
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