I have created an application for windows using pythons cx_freeze module. The application runs the openpyxl module which runs fine for the script but when frozen it fails to find the .constants.json files. The following error is displayed.
FileNotFoundError: [Errno 2] No such file or directory: 'C:....\exe.win-amd64-3.4\library.zip\openpyxl.constants.json'
I have found a fix for this (https://cx-freeze.readthedocs.org/en/latest/faq.html#using-data-files) detailed below :
def find_data_file(filename):
if getattr(sys, 'frozen', False):
# The application is frozen
datadir = os.path.dirname(sys.executable)
else:
# The application is not frozen
# Change this bit to match where you store your data files:
datadir = os.path.dirname(__file__)
return os.path.join(datadir, filename)
The question I have is where do I paste this code? Does it go in the setup.py file? Or somewhere else?
Related
A few Details first
So I did a little web application with Flask.
In theory it should get the ip whenever someone requests or visits the website.
I have everything done (On Windows my Code runs perfectly), but I installed Flask and moved my Project over to a Linux Server where I have Apache2 installed. Ive configured Apache so it handles the requests for the Flask web app.
Everything fine, like my templates load just fine, but the part with logging the ip doesn't work.
I think getting the IP is no problem, tho storing it in say a json file is.
Every time i try to run I get a 500 error on my website.
Apache Error Log : [Errno 13] Permission denied '/opt/iplogs/iplog.json'
The Python Code
def writeToJSONFile(path, fileName, data):
filePathNameWExt = path + fileName + '.json'
with open(filePathNameWExt, 'a') as fp:
json.dump(data, fp, indent=2)
fp.close()
#app.route("/")
def getIP():
visit = {}
ip_visit = request.remote_addr
now = datetime.now()
request_time = now.strftime("%d/%m/%Y %H:%M:%S")
visit["IP"] = str(ip_visit)
visit["date"] = str(request_time)
writeToJSONFile("/opt/iplogs/", "iplog", visit) # WHEN i comment this function out there is no 500 error
return render_template("home.html")
The Main Problem
So in Windows in a Development Envoirement it works fine, but also in linux when i just let Flask run without apache handling its requests
Only when I run the website through Apache I get the error "Permission denied"
So it has to do something with apache and its permissions to write?
Note the folder where my flask(python code) lives is completly different from where the ips are logged
+ I use Ubuntu and i didn't change anything regarding permissions with files or so, heck im even running through root (I know I shouldn't be doing that but its only for testing a very small project)
Thats all I can give you guys
Thanks for all the responses
Try this:
sudo chown -R www-data:www-data /opt/iplogs/
The Apache2 user www-data has no perrmission to manipulate this file.
I am getting this error while using chrome driver to download the google images ... the chrome driver is in path too. The executable is downloaded still the issue persists.
Windows 10 operating system .. the chromedriver is installed through pip too...
Input:
if __name__ == '__main__':
chrome_driver = 'C:\\Users\\320086442\\AppData\\Local\\Continuum\\anaconda3\\Lib\\site-packages\\selenium\\webdriver\\chrome'
# download the emotion data
data_dir = 'C:\\Users\\320086442\\Downloads\\emotion-master\\image_net'
emotions = {'angry': ['angry', 'furious', 'resentful', 'irate'],
'disgusted': ['disgusted', 'sour', 'grossed out'],
'happy': ['happy', 'smiling', 'cheerful', 'elated', 'joyful'],
'sad': ['sad', 'depressed', 'sorrowful', 'mournful', 'grieving', 'crying'],
'surprised': ['surprised', 'astonished', 'shocked', 'amazed']}
download_emotions(emotions, data_dir, chrome_driver)
# download the pseudo Imagenet data
imagenet_labels = []
with open('C:\\Users\\320086442\\Downloads\\emotion-master\\image_net\\imagenet_labels.txt', 'r') as file:
for line in file:
imagenet_labels.append(line.strip())
data_dir = 'C:\\Users\\320086442\\Downloads\\emotion-master'
imagenet_label_file = 'C:\\Users\\320086442\\Downloads\\emotion-master\\image_net\\imagenet_labels.txt'
download_fake_imagenet(imagenet_labels, data_dir, chrome_driver)
Output:
C:\Users\320086442\AppData\Local\Continuum\anaconda3\python.exe C:/Users/320086442/Downloads/emotion-
master/download_data.py
Downloading images for: angry human face ...
Looks like we cannot locate the path the 'chromedriver' (use the '--chromedriver' argument to specify
the path to the executable.) or google chrome browser is not installed on your machine (exception:
use
options instead of chrome_options)
Process finished with exit code 0
I need to mount the azure file storage to Linux-Pools when they are being spun-up.I am following the instructions given here to achieve that: mounting Azure-File Storage to Batch Specically in my Azure CLI script under the Pools start commands I am inserting something which looks like this
--start-task-command-line="apt-get update && apt-get install cifs-utils && mkdir -p {} && mount -t cifs {} {} -o vers=3.0,username={},password={},dir_mode=0777,file_mode=0777,serverino".format(_COMPUTE_NODE_MOUNT_POINT, _STORAGE_ACCOUNT_SHARE_ENDPOINT, _COMPUTE_NODE_MOUNT_POINT, _STORAGE_ACCOUNT_NAME, _STORAGE_ACCOUNT_KEY)
but when I run the tasks with the auto-user that batch uses by default I get an error in the stderr.txt file mentioning that it was unable to create the "/mnt/MyAzureFileshare" directory and so my guess is the mounting didn't occur during the pool creation process.I saw a very similar question to the one I am facing:setting custom user identity for tasks and even the official Microsoft documentation goes over this in detail:Run Tasks under User accounts in Batch but none of them put a light on how to achieve this using Azure CLI.
In order to install specific packages so that Azure File Storage can be mounted requires sudo privileges and I am unable to do that through the Azure-CLI. In order to recreate the error I would recommend having a look at this:app to replicate the issue
What I want to achieve is:
1) Create a Pool with the Azure-File Storage mounted on it and elevate the privileges of the auto-user to the admin level using Azure CLI
2) Run tasks with the same auto-user with Admin Privileges using the azure CLI
Update 1:
I was able to mount Azure File Storage with Batch using the Azure CLI. I still am not able to populate the Azure File Storage with the output files of the app that I deployed on Batch Nodes.I have got no error in the stderr.txt files.
The output of the stderr.txt file is:
WARNING: In "login" auth mode, the following arguments are ignored: --account-key
Alive[################################################################] 100.0000%
Finished[#############################################################] 100.0000%
pdf--->png: 0%| | 0/1 [00:00<?, ?it/s]
pdf--->png: 100%|##########| 1/1 [00:00<00:00, 1.16it/s]WARNING: In "login" auth mode, the following arguments are ignored: --account-key
WARNING: uploading /mnt/batch/tasks/workitems/pdf-processing-job-2018-10-29-15-36-15/job-1/mytask-0/wd/png_files-2018-10-29-15-39-25/akronbeaconjournal_20180108_AkronBeaconJournal_0___page---0.png
Alive[################################################################] 100.0000%
Finished[#############################################################] 100.0000%
The Python App that was deployed on the Batch Nodes is:
import os
import fitz
import subprocess
import argparse
import time
from tqdm import tqdm
import sentry_sdk
import sys
import datetime
def azure_active_directory_login(azure_username,azure_password,azure_tenant):
try:
azure_login_output=subprocess.check_output(["az","login","--service-principal","--username",azure_username,"--password",azure_password,"--tenant",azure_tenant])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("Invalid Azure Login Credentials")
sys.exit("Invalid Azure Login Credentials")
def download_from_azure_blob(azure_storage_account,azure_storage_account_key,input_azure_container,file_to_process,pdf_docs_path):
file_to_download=os.path.join(input_azure_container,file_to_process)
try:
subprocess.check_output(["az","storage","blob","download","--container-name",input_azure_container,"--file",os.path.join(pdf_docs_path,file_to_process),"--name",file_to_process,"--account-key",azure_storage_account_key,\
"--account-name",azure_storage_account,"--auth-mode","login"])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("unable to download the pdf file")
sys.exit("unable to download the pdf file")
def pdf_to_png(input_folder_path,output_folder_path):
pdf_files=[x for x in os.listdir(input_folder_path) if x.endswith((".pdf",".PDF"))]
pdf_files.sort()
for pdf in tqdm(pdf_files,desc="pdf--->png"):
doc=fitz.open(os.path.join(input_folder_path,pdf))
page_count=doc.pageCount
for f in range(page_count):
page=doc.loadPage(f)
pix = page.getPixmap()
if pdf.endswith(".pdf"):
png_filename=pdf.split(".pdf")[0]+"___"+"page---"+str(f)+".png"
pix.writePNG(os.path.join(output_folder_path,png_filename))
elif pdf.endswith(".PDF"):
png_filename=pdf.split(".PDF")[0]+"___"+"page---"+str(f)+".png"
pix.writePNG(os.path.join(output_folder_path,png_filename))
def upload_to_azure_blob(azure_storage_account,azure_storage_account_key,output_azure_container,png_docs_path):
try:
subprocess.check_output(["az","storage","blob","upload-batch","--destination",output_azure_container,"--source",png_docs_path,"--account-key",azure_storage_account_key,\
"--account-name",azure_storage_account,"--auth-mode","login"])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("Unable to upload file to the container")
def upload_to_fileshare(png_docs_path):
try:
subprocess.check_output(["cp","-r",png_docs_path,"/mnt/MyAzureFileShare/"])
except subprocess.CalledProcessError:
sentry_sdk.capture_message("unable to upload to azure file share ")
if __name__=="__main__":
#Credentials
sentry_sdk.init("<Sentry Creds>")
azure_username=<azure_username>
azure_password=<azure_password>
azure_tenant=<azure_tenant>
azure_storage_account=<azure_storage_account>
azure_storage_account_key=<azure_account_key>
try:
parser = argparse.ArgumentParser()
parser.add_argument("input_azure_container",type=str,help="Location to download files from")
parser.add_argument("output_azure_container",type=str,help="Location to upload files to")
parser.add_argument("file_to_process",type=str,help="file link in azure blob storage")
args = parser.parse_args()
timestamp = time.time()
timestamp_humanreadable= datetime.datetime.fromtimestamp(timestamp).strftime('%Y-%m-%d-%H-%M-%S')
task_working_dir=os.getcwd()
file_to_process=args.file_to_process
input_azure_container=args.input_azure_container
output_azure_container=args.output_azure_container
pdf_docs_path=os.path.join(task_working_dir,"pdf_files"+"-"+timestamp_humanreadable)
png_docs_path=os.path.join(task_working_dir,"png_files"+"-"+timestamp_humanreadable)
os.mkdir(pdf_docs_path)
os.mkdir(png_docs_path)
except Exception as e:
sentry_sdk.capture_exception(e)
azure_active_directory_login(azure_username,azure_password,azure_tenant)
download_from_azure_blob(azure_storage_account,azure_storage_account_key,input_azure_container,file_to_process,pdf_docs_path)
pdf_to_png(pdf_docs_path,png_docs_path)
upload_to_azure_blob(azure_storage_account,azure_storage_account_key,output_azure_container,png_docs_path)
upload_to_fileshare(png_docs_path)
The upload_to_fileshare() in the python app above should initiate the upload but in my case nothing happens and there is no error in the copy operation in the stderr.txt files
Please let me know a way to troubleshoot this issue
It does not look like the run elevated parameter is exposed via a command line argument through the CLI. You can however specify a JSON file to the --json argument formatted as the REST API object to get all functionalities.
I working on Flume to append the data from a local directory to HDFS using Flume Source TAILDIR.
My use case is to do Delta Load If the new line comes in the source file in local dir so that will append in hdfs.
This is my Flume Conf file :
#configure the agent
agent.sources=r1
agent.channels=k1
agent.sinks=c1
agent.sources.r1.type=TAILDIR
agent.sources.r1.positionFile = /home/flume/Documents/taildir_position.json
agent.sources.r1.filegroups=f1
agent.sources.r1.filegroups.f1=/home/flume/Documents/spooldir/
agent.sources.r1.batchSize = 20
agent.sources.r1.writePosInterval=2000
agent.sources.r1.maxBackoffSleep=5000
agent.sources.r1.fileHeader = true
agent.sources.r1.channels=k1
agent.channels.k1.type=memory
agent.channels.k1.capacity=10000
agent.channels.k1.transactionCapacity=1000
agent.sinks.c1.type=hdfs
agent.sinks.c1.channel=k1
agent.sinks.c1.hdfs.path=hdfs://localhost:8020/flume_sink
agent.sinks.c1.hdfs.batchSize = 1000
agent.sinks.c1.hdfs.rollSize = 268435456
agent.sinks.c1.hdfs.writeFormat=Text
while running flume command : flume-ng agent -n agent -c conf -f /home/swechchha/Documents/flumereal.conf
I am getting error
I am getting error to load JSON file.
Here is the code. It crashes at the line 110. Please make sure that flume user has access to that JSON file and that the file is correctly formatted.
The Flume.conf mentioned in Question Statement is having a problem.
TAILDIR SOURCE: Watch the specified files, and tail them in nearly real-time once detected new lines appended to each files. If the new lines are being written, this source will retry reading them in wait for the completion of the write.
While writing filegroups property directory may contain multiple files in this case it should be mentioned like directory path/ .filestype.
agent.sources.r1.filegroups.f1=/home/flume/Documents/spooldir/.*txt.*
Then run flume.conf and check the result it will work fine.
I am trying to convert VMX to OVF format using OVFTool as below, however it gives error:
C:\Program Files\VMware\VMware OVF Tool>ovftool.exe
vi://vcenter.com:port/folder/myfolder/abc.vmx abc.ovf
Error: Failed to open file: https://vcenter.com:port/folder/myfolder/abc.vmx
Completed with errors
Please let me know if you have any solution.
I had a similar situation in vmware fusion trying to use a .vmx that was probably created on windows. I could boot the VM, but any attempt to export the machine with ovftool or use vmware-vdiskmanager bombed out with:
Error: Failed to open disk: source.vmdk
Completed with errors
the diskname was totally valid, path was valid, permissions were valid, and the only clue was running ovftool with:
ovftool --X:logToConsole --X:logLevel=verbose source.vmx dest.ova
Opening VMX source: source.vmx
verbose -[10C2513C0] Opening source
verbose -[10C2513C0] Failed to open disk: ./source.vmdk
verbose -[10C2513C0] Exception: Failed to open disk: source.vmdk. Reason: Disk encoding error
Error: Failed to open disk: source.vmdk
as others suggested, i took a peek in the .vmdk. therein i found 3 other clues:
encoding="windows-1252"
createType="monolithicSparse"
# Extent description
RW 16777216 SPARSE "source.vmdk"
so first i converted the monolithicSparse vmdk to "preallocated virtual disk split in 2GB files":
vmware-vdiskmanager -r source.vmdk -t3 foo.vmdk
then i could edit the "foo.vmdk" to change the encoding, which now looks like:
encoding="utf-8"
createType="twoGbMaxExtentFlat"
# Extent description
RW 8323072 FLAT "foo-f001.vmdk" 0
RW 8323072 FLAT "foo-f002.vmdk" 0
RW 131072 FLAT "foo-f003.vmdk" 0
and finally, after fixing up the source.vmx:
scsi0:0.fileName = "foo.vmdk"
profit:
ovftool source.vmx dest.ova
...
Opening VMX source: source.vmx
Opening OVA target: dest.ova
Writing OVA package: dest.ova
Transfer Completed
Completed successfully
I had a similar problem with OVFTool trying to export to OVF format.
Export failed: Failed to open file: C:\Virtual\test\test.vmx.
First, I opened .VMX file in editor (it's a text file) and made sure that settings like
scsi0:0.fileName = "test.vmdk"
nvram = "test.nvram"
extendedConfigFile = "test.vmxf"
mention proper file names.
Then I noticed this line:
.encoding = "windows-1251"
This is Cyrillic code page, so I modified it to use Western code page
.encoding = "windows-1252"
Then, running OVFTool gave a different error
Export failed: Failed to open disk: test.vmdk.
To fix it I had to open .VMDK file in HEX editor (because it's usually a big binary file), found there the string
encoding = "windows-1251"
(it's somewhere in the beginning of the file), and replaced "1251" with "1252".
And it did the trick!
In my case, was needed repair the disk 'abc.vmdk' before convert the 'abc.vmx' to 'abc.ovf'.
Use this for Linux:
$ /usr/bin/vmware-vdiskmanager -R /home/user/VMware/abc.vmdk
Look this link https://kb.vmware.com/s/article/2019259 for resolved issue in Windows and Linux
Try to run as described below.
C:\Program Files\VMware\VMware OVF Tool>ovftool C:\Win-Test\Win-Test.vmx(location of your vmx file) C:\Win-Test\win-test.ovf (destination)
Maybe ovftool is unable to recognize the path you are giving.
Try with following command:
ovftool --eula#=[path to eula] --X:logToConsole --targetType=OVA --compress=9 vi://[username]:[ESX address] [target address]
Once you provide the ESX address, it will list down the folders you have created in your ESX box. Then you can trigger the command above mentioned again with appending folder name.
If no folder hierarchy present in your box, then it will simply list down vm names.
Retry the same command appending [foldername]/[vmname no vmx file name required]
ovftool --eula#=[path to eula] --X:logToConsole --targetType=OVA --compress=9 vi://[username]:[ESX address]/[foldername if exist]/[vmname no vmx file name required] [target address]
I had this same exact issue. In my case I opened up the VMX file and dropped the IDE and sound controllers from the file and saved. I was then able to convert everything to an OVA using the tool with the standard syntax.
e.g. I dropped:
ide1:0.present = "TRUE"
ide1:0.deviceType = "cdrom-image"
and:
sound.present = "TRUE"
sound.fileName = "-1"
sound.autodetect = "TRUE"
This allowed me to convert the file like normal.
For me opening the .vmx and deleting the following line worked:
sata0:1.deviceType = "cdrom-image"
In my case, this works:
ide1:0.present = "TRUE"
ide1:0.deviceType = "cdrom-image"
I did change true to false and works fine, as cdrom-image not exist, this change permit the format conversion.
if your goal is to move a windows based vm to virtual box you only need to:
uninstall vmware tools from the guest vm
shut down the machine
copy the hd to a new folder
create a new empty vm in virtualbox
mount the hd (the .vmdk file) in that vm
Easy and rapid to do.