I am trying to extract tables from pdf files. I am using UiPath's Document Understanding for this purpose. I have to create a template for this purpose and then use that template for other similar invoices. The issue I am facing is that the number of items in the table is varying. For example some pdf's have table which contain 4 items whereas other pdf files have table which contain only 1 item. So if I create a template using the pdf which has a table containing 4 items then it works. But then the same template when used for files which have table containing 1 item then it does not properly extract the data in the table. Is there any solution for this?
The solution should be able to extract tables from similar invoices containing varying number of items in the table. The format and layout of the invoice and the table is similar. The only thing varying is the number of items in each table.
Thanks for your time and help!
Related
I’m making a Power Query (M Code) that combines all Sheets in Workbooks stored in a folder. The logic is the following
Read folder content
Form a list of Workbooks(Sheets) within
Invoke a Function to “Format” content of each Sheet to append the records in a consolidated table
The invoked Function on every Sheet should:
Identify where the “Titles" Row is located
Remove “n” records until “Titles" Row
Remap “Titles" to a standard Name from HeaderMap table
Reorder the columns according to HeaderMap table
Promote the “Titles” Row to Columns Headers
Change column types according to HeaderMap table
Remove “Blank” records
The caveat is that I may encounter Sheets that have no useful information. I need to peek inside the Sheet to verify if valid content and then execute the function to format. How can I Skip the Sheet when consolidating all tables? Something like
Identify indexed row where the “Titles” are located
If (no valid “Titles” found) then Skip Sheet
else (continue with remaining steps)
Thank you in advance
Hi i have found some video and text on how to do this but they dont help with this task.
I know how to get one values but not extract a table.
I want this to get exported into a database if possible or a Excel. But i cant figure it out.
I have even tryed change the "Change reading opption"
I tryed to "data scraping" but the program just say
"This controler does not support data extraction"
And it can't be more of a table then this.
I have heard that it cant be because the structure of the PDF is bad.
Still isn't there more ways of doing this.
Unfortunately, there is no activity in UiPath to read tables directly from PDFs. (As of today.) That was the bad news. The good news is that you can get to the contents of the PDF. Either you get the data (as flat text) directly with UiPath.PDF.Activities.ReadPDFText or you have to use OCR.
#kwoxer provided a wonderful link for explanations on this topic.
I have already been able to extract data from tables contained in a PDF document. At that time, I was lucky: ReadPDFText extracted everything. The table elements were separated by tabs ("\t"). And the table header contained a word that did not appear elsewhere in the document.
Just as an idea, I proceeded like this:
Extract text from the PDF document with UiPath.PDF.Activities.ReadPDFText.
Create an array, where the elements are the lines in the document. (Split using Environment.NewLine and option StringSplitOptions.RemoveEmptyEntries)
Go through lines in a loop (ForEach) until the table header is found. (StartsWith or Contains etc.)
The next row belongs to the table as long as it contains a tab. (Otherwise the table is over.)
Split current row by tab and store it in an array: The elements of the array are the individual cells of the row.
I hope, this idea help.
I have a internal webpage that makes data from excel searchable and readable from a 3rd party excel export file. The webpage allows for the uploading of multiple excel files in which the data gets read and stored in a MySQL database.
We want to update the application to keep a history of the uploaded data (it's data that has monthly values) so we can easily search, filter and generate graphs from the uploaded data.
So I am using Laravel 5.4 and have maatwebsite\excel to import and parse the excel file.
The Excel file always consists of the following columns (Dummy File)
| Item group | item # | item name | Item Currency | <month> <year> |
After Item Currency there is always 36 columns for the past 3 years of data from the current month so a column would be named like dec 2017
Now in Laravel I have created a Model for the item named Item and a model for the monthly values named ItemMonthly
Now I am able to read the file and create columns dynamically in the database but I feel like this is very ugly and not efficient at all:
(Gist) Code for Models and Excel Function
Biggest problem
Because I need to read all the monthly data and since I need them in order of month I can't really rename all the columns as far as I know. I need to be able to get all the columns to render in a Highchart graph and in a Datatable. and some items don't have the same monthly data (some only go till 2015 for example.
Needed advice
I've read a couple of solutions here some of them saying instead of creating columns in MySQL just store the monthly data as a json object in a single column.
Some answers just completely advice on changing from MySQL to MongoDB
I am kind of at a loss to find the best approach for this, and am sincerely wondering if MySQL is the right way to go. The solutions I have been trying so far all seem to involve really hacky ways of doing this.
If there is more info needed please let me know. I don't want to write an immense wall of text but I also want to provide the correct amount of information.
Many thanks!
I have joined some data from HDFS with some data from an Oracle DW, which is working fine, but I cant seem to add any new columns to this sheet. To add columns for calculated fields etc I have to duplicate the sheet and do it there - this doesn't seem overly efficient.
Am I doing something wrong here or can you not add columns to a join result sheet?
... but I cant seem to add any new columns to this sheet.
Right. It will not be possible to add columns to a JoinedSheet. It is a new data set containing columns from two or more sheets based on a key column which you defined.
... or can you not add columns to a join result sheet?
It will be necessary to reference these data as input for a new Worksheet by Duplicating Worksheet.
Another approach could be using datameer rest-api. You can get the content of the workbook in json format and add columns manually or by implementing a simple script, then update the workbook with changed json file.
Here's the scenario:
Say you have a Hive Table that stores twitter data.
Say it has 5 columns. One column being the Text Data.
Now How do you add a 6th column that stores the sentiment value from the Sentiment Analysis of the twitter Text data. I plan to use the Sentiment Analysis API like Sentiment140 or viralheat.
I would appreciate any tips on how to implement the "derived" column in Hive.
Thanks.
Unfortunately, while the Hive API lets you add a new column to your table (using ALTER TABLE foo ADD COLUMNS (bar binary)), those new columns will be NULL and cannot be populated. The only way to add data to these columns is to clear the table's rows and load data from a new file, this new file having that new column's data.
To answer your question: You can't, in Hive. To do what you propose, you would have to have a file with 6 columns, the 6th already containing the sentiment analysis data. This could then be loaded into your HDFS, and queried using Hive.
EDIT: Just tried an example where I exported the table as a .csv after adding the new column (see above), and popped that into M$ Excel where I was able to perform functions on the table values. After adding functions, I just saved and uploaded the .csv, and rebuilt the table from it. Not sure if this is helpful to you specifically (since it's not likely that sentiment analysis can be done in Excel), but may be of use to anyone else just wanting to have computed columns in Hive.
References:
https://cwiki.apache.org/Hive/gettingstarted.html#GettingStarted-DDLOperations
http://comments.gmane.org/gmane.comp.java.hadoop.hive.user/6665
You can do this in two steps without a separate table. Steps:
Alter the original table to add the required column
Do an "overwrite table select" of all columns + your computed column from the original table into the original table.
Caveat: This has not been tested on a clustered installation.