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https://github.com/manykarim/robotframework-doctestlibrary

Robot Framework DocTest library. Simple Automated Visual Document Testing.
https://github.com/manykarim/robotframework-doctestlibrary

ocr pdf robotframework visual-testing

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Robot Framework DocTest library. Simple Automated Visual Document Testing.

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# robotframework-doctestlibrary
----
[Robot Framework](https://robotframework.org) DocTest library.
Simple Automated Visual Document Testing.

See **keyword documentation** for

- [Visual Document Tests](https://manykarim.github.io/robotframework-doctestlibrary/VisualTest.html)
- [Print Job Tests](https://manykarim.github.io/robotframework-doctestlibrary/PrintJobTest.html)
- [Pdf Tests (very basic)](https://manykarim.github.io/robotframework-doctestlibrary/PdfTest.html)

```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Compare two Images and highlight differences
Compare Images Reference.jpg Candidate.jpg
```

[![DocTest Library presentation at robocon.io 2021](https://img.youtube.com/vi/qmpwlQoJ-nE/0.jpg)](https://youtu.be/qmpwlQoJ-nE "DocTest Library presentation at robocon.io 2021")

# Installation instructions

`pip install --upgrade robotframework-doctestlibrary`

Only Python 3.X or newer is supported. Tested with Python 3.8/3.11/3.12

## Install robotframework-doctestlibrary

### Installation via `pip` from PyPI (recommended)

* `pip install --upgrade robotframework-doctestlibrary`

### Installation via `pip` from GitHub

* `pip install git+https://github.com/manykarim/robotframework-doctestlibrary.git`

or

* `git clone https://github.com/manykarim/robotframework-doctestlibrary.git`
* `cd robotframework-doctestlibrary`
* `pip install -e .`

## Install dependencies

Install Tesseract, Ghostscript, GhostPCL, ImageMagick binaries and barcode libraries (libdmtx, zbar) on your system.

Hint: Since `0.2.0` Ghostscript, GhostPCL and ImageMagick are only needed for rendering `.ps` and `.pcl`files.

Rendering and content parsing of `.pdf` is done via `MuPDF`

In the future there might be a separate pypi package for `.pcl` and `.ps` files to get rid of those dependencies.

Linux
```bash
apt-get install imagemagick tesseract-ocr ghostscript libdmtx0b libzbar0
```

Windows
* https://github.com/UB-Mannheim/tesseract/wiki
* https://ghostscript.com/releases/gsdnld.html
* https://ghostscript.com/releases/gpcldnld.html
* https://imagemagick.org/script/download.php

## Some special instructions for Windows

### Rename executable for GhostPCL to pcl6.exe (only needed for `.pcl` support)
The executable for GhostPCL `gpcl6win64.exe` needs to be renamed to `pcl6.exe`

Otherwise it will not be possible to render .pcl files successfully for visual comparison.

### Add tesseract, ghostscript and imagemagick to system path in windows (only needed for OCR, `.pcl` and `.ps` support)
* C:\Program Files\ImageMagick-7.0.10-Q16-HDRI
* C:\Program Files\Tesseract-OCR
* C:\Program Files\gs\gs9.53.1\bin
* C:\Program Files\gs\ghostpcl-9.53.1-win64

(The folder names and versions on your system might be different)

That means: When you open the CMD shell you can run the commands
* `magick.exe`
* `tesseract.exe`
* `gswin64.exe`
* `pcl6.exe`

successfully from any folder/location

### Windows error message regarding pylibdmtx

[How to solve ImportError for pylibdmtx](https://github.com/NaturalHistoryMuseum/pylibdmtx/#windows-error-message)

If you see an ugly `ImportError` when importing `pylibdmtx` on
Windows you will most likely need the [Visual C++ Redistributable Packages for
Visual Studio 2013](https://www.microsoft.com/en-US/download/details.aspx?id=40784). Install `vcredist_x64.exe` if using 64-bit Python, `vcredist_x86.exe` if using 32-bit Python.

## ImageMagick

The library might return the error `File could not be converted by ImageMagick to OpenCV Image: ` when comparing PDF files.
This is due to ImageMagick permissions. Verify this as follows with the `sample.pdf` in the `testdata` directory:
```bash
convert sample.pdf sample.jpg
convert-im6.q16: attempt to perform an operation not allowed by the security policy
```

Solution is to copy the `policy.xml` from the repository to the ImageMagick installation directory.

## Docker

You can also use the [docker images](https://github.com/manykarim/robotframework-doctestlibrary/packages) or create your own Docker Image
`docker build -t robotframework-doctest .`
Afterwards you can, e.g., start the container and run the povided examples like this:
* Windows
* `docker run -t -v "%cd%":/opt/test -w /opt/test robotframework-doctest robot atest/Compare.robot`
* Linux
* `docker run -t -v $PWD:/opt/test -w /opt/test robotframework-doctest robot atest/Compare.robot`

## Gitpod.io
[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/#https://github.com/manykarim/robotframework-doctestlibrary)
Try out the library using [Gitpod](https://gitpod.io/#https://github.com/manykarim/robotframework-doctestlibrary)

# Examples

Have a look at
* [Visual Comparison Tests](./atest/Compare.robot)
* [PDF Content Tests](./atest/PdfContent.robot)
* [Print Job Tests](./atest/PrintJobs.robot)

for more examples.

### Testing with [Robot Framework](https://robotframework.org)
```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Compare two Images and highlight differences
Compare Images Reference.jpg Candidate.jpg
```

### Use masks/placeholders to exclude parts from visual comparison

```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Compare two Images and ignore parts by using masks
Compare Images Reference.jpg Candidate.jpg placeholder_file=masks.json

Compare two PDF Docments and ignore parts by using masks
Compare Images Reference.jpg Candidate.jpg placeholder_file=masks.json

Compare two Farm images with date pattern
Compare Images Reference.jpg Candidate.jpg placeholder_file=testdata/pattern_mask.json

Compare two Farm images with area mask as list
${top_mask} Create Dictionary page=1 type=area location=top percent=10
${bottom_mask} Create Dictionary page=all type=area location=bottom percent=10
${masks} Create List ${top_mask} ${bottom_mask}
Compare Images Reference.jpg Candidate.jpg mask=${masks}

Compare two Farm images with area mask as string
Compare Images Reference.jpg Candidate.jpg mask=top:10;bottom:10

```
#### Different Mask Types to Ignore Parts When Comparing
##### Areas, Coordinates, Text Patterns
```python
[
{
"page": "all",
"name": "Date Pattern",
"type": "pattern",
"pattern": ".*[0-9]{2}-[a-zA-Z]{3}-[0-9]{4}.*"
},
{
"page": "1",
"name": "Top Border",
"type": "area",
"location": "top",
"percent": 5
},
{
"page": "1",
"name": "Left Border",
"type": "area",
"location": "left",
"percent": 5
},
{
"page": 1,
"name": "Top Rectangle",
"type": "coordinates",
"x": 0,
"y": 0,
"height": 10,
"width": 210,
"unit": "mm"
}
]
```
### Accept visual different by checking move distance or text content

```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Accept if parts are moved up to 20 pixels by pure visual check
Compare Images Reference.jpg Candidate.jpg move_tolerance=20

Accept if parts are moved up to 20 pixels by reading PDF Data
Compare Images Reference.pdf Candidate.pdf move_tolerance=20 get_pdf_content=${true}

Accept differences if text content is the same via OCR
Compare Images Reference.jpg Candidate.jpg check_text_content=${true}

Accept differences if text content is the same from PDF Data
Compare Images Reference.pdf Candidate.pdf check_text_content=${true} get_pdf_content=${true}
```

#### Different options to detect moved parts/objects
```RobotFramework
*** Settings ***
Library DocTest.VisualTest movement_detection=orb

*** Test Cases ***
Accept if parts are moved up to 20 pixels by pure visual check
Compare Images Reference.jpg Candidate.jpg move_tolerance=20
```

```RobotFramework
*** Settings ***
Library DocTest.VisualTest movement_detection=template

*** Test Cases ***
Accept if parts are moved up to 20 pixels by pure visual check
Compare Images Reference.jpg Candidate.jpg move_tolerance=20
```

```RobotFramework
*** Settings ***
Library DocTest.VisualTest movement_detection=classic

*** Test Cases ***
Accept if parts are moved up to 20 pixels by pure visual check
Compare Images Reference.jpg Candidate.jpg move_tolerance=20
```

### Options for taking additional screenshots, screenshot format and render resolution
Take additional screenshots or reference and candidate file.
```RobotFramework
*** Settings ***
Library DocTest.VisualTest take_screenshots=${true} screenshot_format=png
```
Take diff screenshots to highlight differences
```RobotFramework
*** Settings ***
Library DocTest.VisualTest show_diff=${true} DPI=300
```

### Experimental usage of Open CV East Text Detection to improve OCR

```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Compare two Farm images with date pattern and east detection
Compare Images Reference.jpg Candidate.jpg placeholder_file=masks.json ocr_engine=east
```

### Check content of PDF files

```RobotFramework
*** Settings ***
Library DocTest.PdfTest

*** Test Cases ***
Check if list of strings exists in PDF File
@{strings}= Create List First String Second String
PDF Should Contain Strings ${strings} Candidate.pdf

Compare two PDF Files and only check text content
Compare Pdf Documents Reference.pdf Candidate.pdf compare=text

Compare two PDF Files and only check text content and metadata
Compare Pdf Documents Reference.pdf Candidate.pdf compare=text,metadata

Compare two PDF Files and check all possible content
Compare Pdf Documents Reference.pdf Candidate.pdf
```

### Ignore Watermarks for Visual Comparisons
Store the watermark in a separate B/W image or PDF.


Watermark area needs to be filled with black color.


Watermark content will be subtracted from Visual Comparison result.
```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Compare two Images and ignore jpg watermark
Compare Images Reference.jpg Candidate.jpg watermark_file=Watermark.jpg

Compare two Images and ignore pdf watermark
Compare Images Reference.pdf Candidate.pdf watermark_file=Watermark.pdf

Compare two Images and ignore watermark folder
Compare Images Reference.pdf Candidate.pdf watermark_file=${CURDIR}${/}watermarks
```

Watermarks can also be passed on Library import. This setting will apply to all Test Cases in Test Suite
```RobotFramework
*** Settings ***
Library DocTest.VisualTest watermark_file=${CURDIR}${/}watermarks

*** Test Cases ***
Compare two Images and ignore watermarks
Compare Images Reference.jpg Candidate.jpg
```

### Get Text From Documents or Images

```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Get Text Content And Compare
${text} Get Text From Document Reference.pdf
List Should Contain Value ${text} Test String
```

### Get Barcodes From Documents or Images

```RobotFramework
*** Settings ***
Library DocTest.VisualTest

*** Test Cases ***
Get Text Content And Compare
${text} Get Barcodes From Document reference.jpg
List Should Contain Value ${text} 123456789
```

### Using pabot to run tests in parallel

Document Testing can be run in parallel using [pabot](https://pabot.org/).
However, you need to pass the additional arguments `--artifacts` and `--artifactsinsubfolders` to the `pabot` command, to move the screenshots to the correct subfolder.
Otherwise the screenshots will not be visible in the `log.html`

```
pabot --testlevelsplit --processes 8 --artifacts png,jpg,pdf,xml --artifactsinsubfolders /path/to/your/tests/
```

### Visual Testing of Web Applications

I experimented a bit and tried to use this library for Visual Testing of Web Applications.
Please have a look at this pilot example [here](https://github.com/manykarim/robotframework-doctestlibrary/blob/main/atest/Browser.robot)

# Development

Feel free to create issues or pull requests.
I'm always happy for any feedback.

## Core team

In order of appearance.

* Many Kasiriha
* April Wang

## Contributors

This project is community driven and becomes a reality only through the work of all the people who contribute.