uploader | File sharing platform built on Nodejs and Amazon S3 | File Upload library

 by   bradleyg JavaScript Version: Current License: No License

kandi X-RAY | uploader Summary

kandi X-RAY | uploader Summary

uploader is a JavaScript library typically used in User Interface, File Upload, Nodejs applications. uploader has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i uploader' or download it from GitHub, npm.

This uploader application is a HTML5 only file sharing platform. Currently only browsers which support the File Reader API will work (Chrome and Firefox). The application uses jquery-filedrop for upload progress/drag + drop, Nodejs to process and move the uploaded files to Amazon S3 and MongoDB to store it's data.
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            kandi-support Support

              uploader has a low active ecosystem.
              It has 45 star(s) with 9 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              uploader has no issues reported. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of uploader is current.

            kandi-Quality Quality

              uploader has 0 bugs and 0 code smells.

            kandi-Security Security

              uploader has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              uploader code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              uploader does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              uploader releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of uploader
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            uploader Key Features

            No Key Features are available at this moment for uploader.

            uploader Examples and Code Snippets

            No Code Snippets are available at this moment for uploader.

            Community Discussions

            QUESTION

            Apache Beam Python gscio upload method has @retry.no_retries implemented causes data loss?
            Asked 2021-Jun-14 at 18:49

            I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:49

            In a streaming pipeline, Dataflow retries work items running into errors indefinitely.

            The code itself does not need to have retry logic.

            Source https://stackoverflow.com/questions/67972758

            QUESTION

            “500 Internal Server Error” with job artifacts on minio
            Asked 2021-Jun-14 at 18:30

            I'm running gitlab-ce on-prem with min.io as a local S3 service. CI/CD caching is working, and basic connectivity with the S3-compatible minio is good. (Versions: gitlab-ce:13.9.2-ce.0, gitlab-runner:v13.9.0, and minio/minio:latest currently c253244b6fb0.)

            Is there additional configuration to differentiate between job-artifacts and pipeline-artifacts and storing them in on-prem S3-compatible object storage?

            In my test repo, the "build" stage builds a sparse R package. When I was using local in-gitlab job artifacts, it succeeds and moves on to the "test" and "deploy" stages, no problems. (And that works with S3-stored cache, though that configuration is solely within gitlab-runner.) Now that I've configured minio as a local S3-compatible object storage for artifacts, though, it fails.

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:30

            The answer is to bypass the empty-string test; the underlying protocol does not support region-less configuration, nor is there a configuration option to support it.

            The trick is able to work because the use of 'endpoint' causes the 'region' to be ignored. With that, setting the region to something and forcing the endpoint allows it to work:

            Source https://stackoverflow.com/questions/67005428

            QUESTION

            Rails 6.1.3.2 Unpermitted parameter and User must exist
            Asked 2021-Jun-13 at 13:35

            Few years ago I develop aps in Rails 4 and now many things change.

            I user Shire GEM in this example to upload photos:

            Ok, my models:

            Photo model:

            ...

            ANSWER

            Answered 2021-Jun-13 at 13:35

            Never pass the user id as plaintext through the parameters. Get it from the session instead. Its trivial for any malicous user to use the web inspector and simply fill in the hidden input and then upload a unseemly picture as ANY user.

            The session cookie is encrypted and much more difficult to tamper with.

            Source https://stackoverflow.com/questions/67958571

            QUESTION

            How to change the color of the Choose File button (wordpress)?
            Asked 2021-Jun-11 at 01:54

            I need to change the color of the Choose File.
            I tried the following code, but it only changes No file chosen.
            Would you please let me know how to change the color?

            ...

            ANSWER

            Answered 2021-Jun-10 at 05:12

            You can make use of ::file-selector-button since the upload button is part of the pseudo-element.

            Source https://stackoverflow.com/questions/67913925

            QUESTION

            Remove CSS Class on 'Drop' Event - JavaScript
            Asked 2021-Jun-10 at 08:39

            I'm building a file uploader and when I drag files over the target area I have a class that is added on dragover and removed on dragleave. This essentially changes the border color of the drop zone so that the user knows when they can drop the files. This is done by adding and removing a 'drop' class.

            I'm trying to make it so when the user drops the actual files into the drop zone the drop event also removes the 'drop' class that is added on dragover (so the border goes back to its original state), but I can't get this to work?

            Codepen is: https://codepen.io/emilychews/pen/OJpwzej

            Any help really appreciated.

            ...

            ANSWER

            Answered 2021-Jun-10 at 08:39

            You have to allow drop in your div. To achieve that, you need to add

            Source https://stackoverflow.com/questions/67897545

            QUESTION

            Multer - Cannot read property 'buffer' of undefined
            Asked 2021-Jun-09 at 12:41

            I have a problem uploading an image file to my server, I watched some tutorials on YouTube about multer and I do exactly the same thing that is done in the tutorial and for whatever reason I get an error: ("Cannot read property 'buffer' of undefined"), and req.file is also undefined. I googled for the error and found some people having the same issue and I tried to solve it like them, but it didn't work for me.

            COMPONENT Data App

            ...

            ANSWER

            Answered 2021-Jun-09 at 12:41

            it is not req.buffer

            it is req.file.buffer

            Source https://stackoverflow.com/questions/67445466

            QUESTION

            Cannot upload big zip files using drop-zone in CodeIgniter
            Asked 2021-Jun-09 at 07:26

            I'm trying to upload zip file using drop zone. Uploading just fine with small size zip files. However, for zip more than 5MB cannot upload. Somehow the uploading process stuck at 100% and remain there until page refresh manually.

            You can see here:

            after dragging the file, at 100% it getting stuck and error come up in the console.

            Error:

            HTML

            ...

            ANSWER

            Answered 2021-Jun-07 at 18:49

            First of all your code's error is not clear. You can print the variable data before calling JSON.parse as follows so it shows the original error.

            Source https://stackoverflow.com/questions/67862502

            QUESTION

            Using HTML input to create FormData obj for file upload
            Asked 2021-Jun-07 at 20:48

            I have an that accepts a few different file types. This works, no problem. I am interfacing with the API of my app (through SWAGGER API), and I need to send the file to the backend.

            To do this, I am trying to use the following:

            ...

            ANSWER

            Answered 2021-Jun-07 at 20:48

            UPDATE based on the input code that was added.

            Source https://stackoverflow.com/questions/67878261

            QUESTION

            I am getting a SQL unknown sql server error in last lines of my code
            Asked 2021-Jun-07 at 16:57
            from logging import StreamHandler, exception
            from sqlalchemy import create_engine
            from re import search
            from pandas._config.config import options
            from pandas.core.frame import DataFrame
            from pandas.core.tools import numeric
            import streamlit as st       
            import plotly.express as pt
            import pandas as pd
            import numpy as np
            import os
            import base64
            
            #function
            def filedownloader(database):
                csv = database.to_csv(index=False)
                b64 = base64.b64encode(csv.encode()).decode() 
                href = f'Download csv file'
                st.markdown(href,unsafe_allow_html=True)
                return href
            
            
            
            
            #basic titles
            
            st.title("Institution's Section")
            st.sidebar.subheader("Settings")
            
            # file uploader
            
            fl=st.sidebar.file_uploader(label="Uplaod File in csv or xlsx format", type=['csv','xlsx'])
            global df
            if fl is not None:
                st.title("Performance Graph")
                try:
                    df=pd.read_csv(fl)
                except Exception as e:
                    print(e)
                    df=pd.read_excel(fl)
            
            #write table in web page
            
            global columns
            try:
                st.write(df)
                columns = list(df.columns)
            except Exception as e:
                print(e)
                st.write("Please upload a file")
            
            #Chart select
            
            st.sidebar.subheader("Analysis section")
            ch=st.sidebar.selectbox(
                label="Select the chart type",
                options=['Scatterplots','Lineplots','Histogram','Boxplot'],
                key="chart"
            )
            
            #Plot Settings
            
            if ch =='Scatterplots':
                st.sidebar.subheader("Scatterplot Settings")
                
                try:
                    x_values=st.sidebar.selectbox('X axis',options=columns)
                    y_values=st.sidebar.selectbox('Y axis',options=columns)
                    plot=pt.scatter(data_frame=df,x=x_values,y=y_values)
                    st.plotly_chart(plot)
                except Exception as e:
                    print(e)
            elif ch=='Lineplots':
                st.sidebar.subheader("Lineplot Settings")
                
                try:
                    x_values=st.sidebar.selectbox('X axis',options=columns)
                    y_values=st.sidebar.selectbox('Y axis',options=columns)
                    plot=pt.line(data_frame=df,x=x_values,y=y_values)
                    st.plotly_chart(plot)
                except Exception as e:
                    print(e)
            elif ch=='Histogram':
                st.sidebar.subheader("Histogram Settings")
                
                try:
                    x_values=st.sidebar.selectbox('X axis',options=columns)
                    y_values=st.sidebar.selectbox('Y axis',options=columns)
                    plot=pt.histogram(data_frame=df,x=x_values,y=y_values)
                    st.plotly_chart(plot)
                except Exception as e:
                    print(e)
            elif ch=='Boxplot':
                st.sidebar.subheader("Boxplot Settings")
                
                try:
                    x_values=st.sidebar.selectbox('X axis',options=columns)
                    y_values=st.sidebar.selectbox('Y axis',options=columns)
                    plot=pt.box(data_frame=df,x=x_values,y=y_values)
                    st.plotly_chart(plot)
                except Exception as e:
                    print(e)
            
            #rank select
            
            
            st.sidebar.subheader("Quick Search Rank")
            radio=st.sidebar.radio(
                "What you want to see?",("Top five","Bottom five")
            )
            
            #rank settings
            
            numeric_column = df.select_dtypes(include=np.number).columns.tolist()
            if(radio=='Top five'):
                st.sidebar.subheader("Rank Settings")
                try:
                    val=st.sidebar.selectbox('Select rank category',options=numeric_column)
                    st.title("Quick Search Result")
                    st.write(df.nlargest(5,val))
                except Exception as e:
                    print(e)
            elif(radio=='Bottom five'):
                st.sidebar.subheader("Rank Settings")
                try:
                    val=st.sidebar.selectbox('Select rank category',options=numeric_column)
                    st.title("Quick Search Result")
                    st.write(df.nsmallest(5,val))
                except Exception as e:
                    print(e)
            
            #search
            
            st.sidebar.subheader("Search")
            val=st.sidebar.selectbox('Search desired column',options=columns)
            st.sidebar.subheader("Search keyword")
            user_input = st.sidebar.text_area("Type Keyword here", 0)
            try: 
                dl = df[df[val] == type(df[val][1])(user_input)]
            except Exception as e:
                pass
            
            st.sidebar.subheader("Custom plot settings")
            choose=st.sidebar.selectbox(
                label="Choose plot for selected data",
                options=['Scatterplot','Linearplot','Histogram','Boxplot',]
            )
            if(choose == 'Scatterplot'):
                try:
                    st.sidebar.subheader("Scatterplot Settings")
                    x_val=st.sidebar.selectbox('X axis',options=columns,key="scatter_x")
                    y_val=st.sidebar.selectbox('Y axis',options=columns,key="scatter_y")
                    plots=pt.scatter(data_frame=dl,x=x_val,y=y_val)
                except Exception as e:
                    pass
            elif (choose == 'Linearplot'):
                try:
                    st.sidebar.subheader("Scatterplot Settings")
                    x_val=st.sidebar.selectbox('X axis',options=columns,key="scatter_x")
                    y_val=st.sidebar.selectbox('Y axis',options=columns,key="scatter_y")
                    plots=pt.line(data_frame=dl,x=x_val,y=y_val)
                except Exception as e:
                    pass
            elif (choose == 'Histogram'):
                try:
                    st.sidebar.subheader("Scatterplot Settings")
                    x_val=st.sidebar.selectbox('X axis',options=columns,key="scatter_x")
                    y_val=st.sidebar.selectbox('Y axis',options=columns,key="scatter_y")
                    plots=pt.histogram(data_frame=dl,x=x_val,y=y_val)
                except Exception as e:
                    pass
            elif (choose == 'Boxplot'):
                try:
                    st.sidebar.subheader("Scatterplot Settings")
                    x_val=st.sidebar.selectbox('X axis',options=columns,key="scatter_x")
                    y_val=st.sidebar.selectbox('Y axis',options=columns,key="scatter_y")
                    plots=pt.box(data_frame=dl,x=x_val,y=y_val)
                except Exception as e:
                    pass
            
            #chart and search button
            
            bt=st.sidebar.button("Search and Apply")
            if(bt):
                st.title("Search Results")
                st.write(dl)
                st.title("Searh Analysis")
                st.plotly_chart(plots)
            
            #Modify database
            st.sidebar.subheader("Select Column to drop null values")
            val1=st.sidebar.multiselect(
                label="Selet Columns",
                options=columns
            )
            bt_null_r=st.sidebar.button("Drop Null values")
            if(bt_null_r):
                mdf=df.dropna(subset=val1, how='all')
                filedownloader(mdf)
            
            # drop selected column
            st.sidebar.subheader("Select Column to drop null values")
            val2=st.sidebar.multiselect(
                label="Selet Columns",
                options=columns,key="column_multi"
            )
            bt_c=st.sidebar.button("Drop Columns")
            if(bt_c):
                mdf=df.drop(val2,axis=1)
                filedownloader(mdf)
            **#creating sql engine
            engine=create_engine('mysql://root:Soumik18@@localhost:3306/college')
            df.to_sql('Students',con=engine)**
            
            ...

            ANSWER

            Answered 2021-Jun-07 at 16:57

            Couple things to check:

            1. Can you connect to MySQL outside of the script with the credentials you provided (mysql -u root -p)? If yes, then there may be a configuration problem in your script to connect. If not, confirm MySQL is running, then re-check your password. If a potential password issue, may be worth restarting MySQL by adding skip_grant_tables under your configuration file and restarting so you can log in w/o a password and reset the root password.
            2. Did you modify the MySQL configuration in any way, specifically the bind-address? By default, MySQL sets this to 127.0.0.1, so you may want to try connecting with 127.0.0.1 instead of localhost.
            3. If this is a non-Windows machine, is /etc/hosts configured properly for localhost (ex: 127.0.0.1 localhost)?

            I use a different method to connect to MySQL via Python, so I am not as familiar with sqlalchemy.

            Source https://stackoverflow.com/questions/67875310

            QUESTION

            How to get the size after cropping of an uploaded image with javascript
            Asked 2021-Jun-07 at 07:03

            I have the following input element: inside of a div with the id ImageUploader. The uploaded images get automatically cropped, but I have no influence on that functionality.

            JS:

            ...

            ANSWER

            Answered 2021-Jun-06 at 10:01

            I am going to focus on this part (since we know very little about the rest of the code) :

            event.target.files[0].initialCroppedAreaPixels just returns undefined, which I don't understand, because in the next line, the file that gets logged into the console always has the initialCroppedAreaPixels attribute.

            In your js console the first console.log return the value of an attribute at a specific time. The second one return an object (the object itself and not its value at a specific time).

            to convince you, open a js console and do the following experiment :

            Source https://stackoverflow.com/questions/67834104

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install uploader

            You can install using 'npm i uploader' or download it from GitHub, npm.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • CLI

            gh repo clone bradleyg/uploader

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            git@github.com:bradleyg/uploader.git

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