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linwoodc3 avatar linwoodc3 commented on June 10, 2024

@saint7007 , can you try to install using regular pip for me? I think the whl file is old:

pip install gdelt

Remove your previous install of gdelt.

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linwoodc3 avatar linwoodc3 commented on June 10, 2024

@saint7007

I finally found a Window 32-bit machine to test this on. I installed and ran the query with no problems.

screen shot 2017-08-23 at 7 50 52 am

How did you install gdeltpyr? Did you try pip? What version of pandas do you have? I think that may be your issue. I was able to use a Windows PE 32-bit machine and return 400,000+ rows of data.

I've also confirmed gdeltPyr works on a Windows 64-bit machine as well. So, I'm unable to recreate your problem and may have to close this issue.

screen shot 2017-08-23 at 7 48 07 am

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linwoodc3 avatar linwoodc3 commented on June 10, 2024

@saint7007 ; I'm taking the silence as "it's working". Plan to close this tomorrow.

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saint7007 avatar saint7007 commented on June 10, 2024

updated panda version
D:\SUSHANT\pyt\Scripts>pip install C:\Users\sushant.s\Downloads\pandas-0.20.3-cp
36-cp36m-win32.whl
Processing c:\users\sushant.s\downloads\pandas-0.20.3-cp36-cp36m-win32.whl
Requirement already satisfied: pytz>=2011k in d:\sushant\pyt\lib\site-packages (
from pandas==0.20.3)
Requirement already satisfied: python-dateutil>=2 in d:\sushant\pyt\lib\site-pac
kages (from pandas==0.20.3)
Requirement already satisfied: numpy>=1.7.0 in d:\sushant\pyt\lib\site-packages
(from pandas==0.20.3)
Requirement already satisfied: six>=1.5 in d:\sushant\pyt\lib\site-packages (fro
m python-dateutil>=2->pandas==0.20.3)
Installing collected packages: pandas
Found existing installation: pandas 0.20.1
Uninstalling pandas-0.20.1:
Successfully uninstalled pandas-0.20.1
Successfully installed pandas-0.20.3

D:\SUSHANT\pyt\Scripts>


output still same..

D:\SUSHANT\pyt\python.exe C:/Users/sushant.s/PycharmProjects/testAGAIN/GDELT.py
('32bit', 'WindowsPE')
('32bit', 'WindowsPE')
('32bit', 'WindowsPE')
Traceback (most recent call last):
File "", line 1, in
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="mp_main")
File "D:\SUSHANT\pyt\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "D:\SUSHANT\pyt\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "D:\SUSHANT\pyt\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\sushant.s\PycharmProjects\testAGAIN\GDELT.py", line 11, in
results = gd.Search(['2016 10 19','2016 10 22'],table='events',coverage=True)
File "D:\SUSHANT\pyt\lib\site-packages\gdelt\base.py", line 568, in Search
Traceback (most recent call last):
File "", line 1, in
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="mp_main")
File "D:\SUSHANT\pyt\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "D:\SUSHANT\pyt\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "D:\SUSHANT\pyt\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\sushant.s\PycharmProjects\testAGAIN\GDELT.py", line 11, in
results = gd.Search(['2016 10 19','2016 10 22'],table='events',coverage=True)
File "D:\SUSHANT\pyt\lib\site-packages\gdelt\base.py", line 568, in Search
pool = Pool(processes=cpu_count())
File "D:\SUSHANT\pyt\lib\multiprocessing\context.py", line 119, in Pool
pool = Pool(processes=cpu_count())
File "D:\SUSHANT\pyt\lib\multiprocessing\context.py", line 119, in Pool
context=self.get_context())
File "D:\SUSHANT\pyt\lib\multiprocessing\pool.py", line 168, in init
context=self.get_context())
File "D:\SUSHANT\pyt\lib\multiprocessing\pool.py", line 168, in init
self._repopulate_pool()
File "D:\SUSHANT\pyt\lib\multiprocessing\pool.py", line 233, in _repopulate_pool
w.start()
File "D:\SUSHANT\pyt\lib\multiprocessing\process.py", line 105, in start
self._repopulate_pool()
File "D:\SUSHANT\pyt\lib\multiprocessing\pool.py", line 233, in _repopulate_pool
w.start()
File "D:\SUSHANT\pyt\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\SUSHANT\pyt\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\SUSHANT\pyt\lib\multiprocessing\popen_spawn_win32.py", line 33, in init
self._popen = self._Popen(self)
File "D:\SUSHANT\pyt\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\SUSHANT\pyt\lib\multiprocessing\popen_spawn_win32.py", line 33, in init
prep_data = spawn.get_preparation_data(process_obj._name)
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.
prep_data = spawn.get_preparation_data(process_obj._name)

File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "D:\SUSHANT\pyt\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

('32bit', 'WindowsPE')


kindly note this works for,
#pull single day, gkg table
results= gd1.Search('2016 Nov 01',table='gkg')

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linwoodc3 avatar linwoodc3 commented on June 10, 2024

@saint7007 , I think a problem is your setup with Pycharm, which can sometimes require you to set your project's Python interpreter. Therefore, we need to keep this gdelt issue constrained to gdelt alone (isolate the problem). I will give you steps to follow exactly to get gdelt working on your computer. If you follow these exactly (don't use Pycharm), and let me know your results, I can help you better. Since you have a custom setup, it's impossible for me to know. Follow these steps, and we will be on the same page. Here are the steps to make sure gdelt works on your machine:

  • Download Anaconda for Windows 32-bit machine; make sure to get version 2.2...link below.

    • Since I don't know what Windows version you use, download Anaconda3 2.2 for x86 because it is compatible with Windows XP and above. this is the most important step. it ensures we're using the same python
  • Double-click the downloaded file to run the installer for Anaconda (make sure everything is checked in all menus); during install, the installer will ask where to save Anaconda. Save to your C:\ drive; make sure to save to a location with no spaces in it. For example: C:\Anaconda.

  • Open a command prompt
    screen shot 2017-08-25 at 7 15 57 am

  • Type conda in the command line and press Enter to make sure conda is installed
    screen shot 2017-08-25 at 7 19 14 am

  • create an environment by typing this exactly:

    • conda create -n test python=3.6 pandas numpy notebook ipython jupyter -y
    • A lot of stuff will happen, wait for it to finish
  • Enter the new environment by typing activate test

    • You should be in an environment that has Python 3.6 on a Windows 32-bit machine.
    • To test, just type python and see what version you have. It should be 3.6
    • Exit out of this by typing exit()
  • Install gdelt by typing pip install gdelt; wait for it to finish

  • Enter ipython session by typing ipython

  • Now just run this

    import gdelt
    gd = gdelt.gdelt(version=2)
    results = gd.Search(['2016 Oct 19','2016 Oct 22'],coverage=True,table='events')

Here is a picture of my results:
screen shot 2017-08-25 at 8 15 42 am

This returned nearly 900,000 rows of data for me. Remember, the more cores/processors you have, the faster the data pulls. Also remember, the more RAM you have, the more days you can pull. If you are on a machine with low RAM (4GBs) then you likely don't have enough memory to pull more than 2 days. GDELT consumes a LOT of space. If you only have 1 or 2 processors, the pulls take a long time (44 seconds).

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linwoodc3 avatar linwoodc3 commented on June 10, 2024

I'm assuming you either got this fixed or moved on @saint7007 . Closing this. The comment above shows that gdeltPyR works on a Windows 32-bit machine. I think your errors are coming from your setup. Will reopen if you're still having issues after trying the instructions above.

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saint7007 avatar saint7007 commented on June 10, 2024

I could not install using pip(proxy restriction). So didn't tried. Got it working for ubuntu 16.04 . Thanks for the pluggin.

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