yes you are right is wring copy-paste .Sorry for that
JAVA_HOME
export JDK_HOME=/usr/lib/jvm/java-1.11.0-openjdk-amd64
export PATH=PATH:{JAVA_HOME}/bin
export JAVA_HOME=${JDK_HOME}
export JAVA_HOME=/usr/lib/jvm/java-1.11.0-openjdk-amd64/bin
I don’t remove this file jpy-0.10.0.dev1-cp38-cp38-linux_x86_64.whl before running snappy-conf.
Is still there
You can’t have spaces in the PATH setting, and you need $PATH and $JAVA_HOME/bin on the right-hand side:
export PATH="$PATH:<added_directory>" The double quotes are needed if a PATH component has spaces. Adding JAVA_HOME at the probably does nothing as you probably have java commands in some existing PATH component.
This probably means that the python program used to run snappy_conf was not the one used to build the binary wheel. This is a very easy trap to fall into as many systems end up with multiple Python versions installed. PEP 425 – Compatibility Tags for Built Distributions | Python.org explains the ABI tags. Note that Anaconda python 3.8 is generally not interchangeable with a distribution python 3.8 because Anaconda provides its own runtime libraries.
i dont have multiple Python in my system and i have jpy in python where i use to run snappy_conf.
if i run this command in terminal pip3 list.
then i take this :
jpy 0.10.0.dev1
I want to reinstall snap again to star over from begin .
My problem is For higher Python version it needs a manual build of jpy .
i think in this manual build i choose wrong way.Maybe to help me in this step for commands to build.
Thank you for your time to help me I really appreciate it .
Are you sure you really need snappy? Snappy was important several years ago, but now gpt has many more operators, so has replaced many snappy uses. As you have seen, snappy can be tricky to get working. Teradue snapista makes it easy to create gpt graphs using python tools.
Your build of jpy looks good, but may not have used the same python as you used with snappy_conf. You should check again for multiple Python versions: ls -l /usr/bin/python*, which -a python, and which -a python3. Various linux packages depend on different python versions, and there are often system tools that require an older version of python,
so I never encounter systems with only one version of python. After upgrading Ubuntu to 21.04 I have two versions of python:
gwhite(hippo)@gwlaptop /mnt/c/Users/gwhite
% ls /usr/bin/python*
/usr/bin/python3 /usr/bin/python3-config /usr/bin/python3.10 /usr/bin/python3.10-config /usr/bin/python3.9 /usr/bin/python3.9-config
% ls -l /usr/bin/python
ls: cannot access '/usr/bin/python': No such file or directory
On older versions of Ubuntu, ‘/usr/bin/python’ could be python2.7, and python3 should be the oldest python 3.x version and is used by “system” scripts.
Having jpy installed in Python shouldn’t hurt, but snappy_conf looks for the binary wheel and installs jpy in the $HOME/.snap/snap-python/snappy directory. You have not been consistent in your use of python:
I don’t think this is a problem, since snappy will use the jpy install in the snappy directory. Using pip3 is one of those bad practices being propagated on internet sites. You should use /usr/bin/python3.x -m pip to ensure that the installation goes to the desired python version.
i dont know about gpt.
I would like to use the reflectance tool for automatic correction of sentinel images with python, if I can do it with gpt tell me how?
can i do auto reflectance sentinel images with gpt and python?
thank you
Do you mean the ICOR plugin? Then you do need snappy_conf to work, but I think you can also run ICOR as a standalone system using Python without snappy.
hello again
i reinstall snap and i get some error :
INFO: Installing from Java module ‘/home/username/snap/snap/modules/org-esa-snap-snap-python.jar’
WARNING: Architecture requirement possibly not met: Python is x86_64 but JVM requires amd64
INFO: Installing jpy…
ERROR: The module ‘jpy’ is required to run snappy, but no binary ‘jpy’ wheel matching the pattern
‘jpy-{version}-cp38-{abi_tag}-linux_x86_64.whl’ could be found.
You can try to build a ‘jpy’ wheel yourself, then copy it into
“/home/username/.snap/snap-python/snappy”, and then run the configuration again.
Unzip the jpy sources in /home/username/.snap/snap-python/snappy/jpy-.zip, then
cdjpy− python setup.py bdist_wheel
cpdist/∗.whl"/home/username/.snap/snap−python/snappy"Orgetthesourcecodefromhttps://github.com/bcdev/jpyandfollowthebuildinstructions: git clone GitHub - bcdev/jpy: A bi-directional Python-Java bridge used to embed Java in CPython or the other way round.
$ cd jpy
ERROR: Configuration failed with exit code 10
in ls /usr/bin/python* i get :
/usr/bin/python3 /usr/bin/python3.8-config /usr/bin/python3-futurize
/usr/bin/python3.8 /usr/bin/python3-config /usr/bin/python3-pasteurize
and is 64 bit version all.
really i don’t know where is the wrong.
step 1 install snap 64 bit version
step 2 in step configure your Python installation i put my path /usr/bin/python3
step 3 restart
step 4 i create folder with name jpy in this path /home/username/.snap/snap-python/snappy
step 5 download this https://github.com/jpy-consortium/jpy#readme and extract in /home/username/.snap/snap-python/snappy/jpy
step 6 setup.py build maven bdist_wheel
step 7 ./snappy-conf /usr/bin/python3 and error 10
java paths :
export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64
export JDK_HOME=/usr/lib/jvm/java-11-openjdk-amd64
export PATH=$PATH:${JAVA_HOME}/bin
export PATH=$PATH:${JDK_HOME}/bin
Looks like you are 95% of the way to success. After step 6 you should have:
ls ~/.snap/snap-python/snappy/jpy/dist
jpy-0.10.0.dev1-cp38-cp38-linux_x86_64.whl
Before running setup.py (step 6) you need to copy the binary wheel to ~/.snap/snap-python/snappy.
In step 7 I recommend using ./snappy-conf /usr/bin/python3.8 (just to start making a habit out of being careful about minor versions in case something pulls in a newer python).
Note that there are now multiple python packages called snappy. To avoid conflicts and make it clear which snappy is being used by your script, you can use the
option to "append <snappy-dir> to the sys.path variable in your Python code before importing snappy" described in Configure Python to use the SNAP-Python (snappy) interface. Note that linux users need to replace USERPROFILE with HOME in the example code.
hello,
Finally i don’t know how but i think i get success message :
Done. The SNAP-Python interface is located in '/root/.snap/snap-python/snappy/snappy'
When using SNAP from Python, either do: sys.path.append('/root/.snap/snap-python/snappy')
or copy the 'snappy' module into your Python's 'site-packages' directory.
but any time know in python i get this error :
import sys
import os
sys.path.append('/root/.snap/snap-python/snappy')
import snappy
from snappy import ProductIO
error :
raise IOError("Can't find SNAP distribution directory. Either configure variable 'snap_home' " +
OSError: Can't find SNAP distribution directory. Either configure variable 'snap_home' in file './snappy.ini' or set environment variable 'SNAP_HOME' to an existing SNAP distribution directory.
I need some more step like this :
cd ~/.snap/snap-python/snappy
python3 setup.py install
or :
copy to /usr/local/lib/python3.8/dist-packages/snappy/ the files at …snap\s
any idea ?
I define correct paths
export SNAP_HOME=/usr/local/snap
export PATH=$PATH:${SNAP_HOME}
and i take some error
You appear to have run some part of the install process as the “root” user (e.g., using the sudo command). Files under the /root directory are not available to normal users. There is also a trend to add restrictions to limit what the root account can do. Use of sudo and su to run regular applications is strongly discouraged.
ok but the error message is for snap home i think
You didn’t tell us what error message you get. Normally SNAP is installed in the user’s HOME directory. If you used sudo to install SNAP to /usr/local/snap then
should use export PATH="$PATH:${SNAP_HOME}/bin". The added double quotes are used in case there is a space character in some component of the PATH.
yes you are right i install with sudo su bad choose.
Reinstall again and now i have correct installation paths SNAP_HOME=/home/USERNAME/snap
and
Configuring SNAP-Python interface...
Done. The SNAP-Python interface is located in '/home/username/.snap/snap-python/snappy'
When using SNAP from Python, either do: sys.path.append('/home/username/.snap/snap-python')
or copy the 'snappy' module into your Python's 'site-packages' directory.
but i have some error :
Raise IOError("Can't find SNAP distribution directory. Either configure variable 'snap_home' " +
OSError: Can't find SNAP distribution directory. Either configure variable 'snap_home' in file './snappy.ini' or set environment variable 'SNAP_HOME' to an existing SNAP distribution directory.
Maybe to use copy the 'snappy' module into your Python's 'site-packages' directory ?
because snappy folder in Python’s ‘site-packages’ directory exists before installation
Ubuntu has an totally different system called SNAP that sometimes conflicts with ESA SNAP. If your sytem already had a snap direcotry you should have installed ESA SNAP to a different directory such as esa_snap. It seems you already have another package called snappy in the system python. Use the recommended sys.path.append('/home/username/.snap/snap-python') in your python scripts to ensure that they use ESA SNAP snappy and not the system snappy.
i dont have multiple Python in my system and i have jpy in python where i use to run snappy_conf .
I’m not sure what this means. Are you running Ubuntu Linux (and which version)? Did you follow the steps in Configure Python to use the SNAP-Python (snappy) interface?
Did you generate a jpy binary wheel using your (unspecified) system and python? You should put the jpy binary wheel in your $HOME/.snap/snap-python/snappy directory and then (in a terminal):
$ cd ~/<ESA_snap_install_dir>/nin
$ ./snappy-conf /usr/bin/python3.<minor version>
If this works, continue with the “How to use” steps. Due to the existence of mutliple Python libraries called snappy, I recommend not trying to install ESA SNAP snappy into your system python. If you are comfortable with Python venv’s, you can create a Python “snappy” environment, but for most people it is better to put something like:
sys.path.insert(0,<snappy_dir>)
from snappy import ...
in your scripts so it is clear that the script is using ESA SNAP snappy and also ensure that some other
library called snappy is not used by mistake.
hello
after removing another package called snappy in site-packages now i think work fine.
thank you for help,without you i would not have succeeded .
Any idea how can i use reflectance or sen2cor plugin using this snap python api ?thank you again
Glad you got snappy installed. I use snappy for things like automating some steps I did with the GUI to make a series of images.
Before jumping in to a project you should come up with a series of simpler tasks to learn how to use snappy. The snappy directory contains some test scripts and also examples. There are good online examples such as [Burnt Area Map (https://eodag.readthedocs.io/en/stable/notebooks/tutos/tuto_burnt_areas_snappy.html). You also find it useful to spend some time with basic linux and python tutorials.
If you run into a roadblock don’t hesitate to start a new thread here. SNAP is a very large and complex system which no one person can fully understand. There are often glitches for which you may need workarounds or even an update.