How to start¶
You can import data on any Flectra’s business object using either Excel (.xlsx) or CSV (.csv) formats: contacts, products, bank statements, journal entries and even orders!
Open the view of the object you want to populate and click on.
There you are provided with templates you can easily populate with your own data. Such templates can be imported in one click; The data mapping is already done.
How to adapt the template¶
Add, remove and sort columns to fit at best your data structure.
We advise to not remove the ID one (see why in the next section).
Set a unique ID to every single record by dragging down the ID sequencing.
When you add a new column, Flectra might not be able to map it automatically if its label doesn’t fit any field in Flectra. Don’t worry! You can map new columns manually when you test the import. Search the list for the corresponding field.
Then, use this field’s label in your file in order to make it work straight on the very next time.
How to import from another application¶
In order to re-create relationships between different records, you should use the unique identifier from the original application and map it to the ID (External ID) column in Flectra. When you import another record that links to the first one, use XXX/ID (XXX/External ID) to the original unique identifier. You can also find this record using its name but you will be stuck if at least 2 records have the same name.
The ID will also be used to update the original import if you need to re-import modified data later, it’s thus good practice to specify it whenever possible.
I cannot find the field I want to map my column to¶
Flectra tries to find with some heuristic, based on the first ten lines of the files, the type of field for each column inside your file. For example if you have a column only containing numbers, only the fields that are of type Integer will be displayed for you to choose from. While this behavior might be good and easy for most cases, it is also possible that it goes wrong or that you want to map your column to a field that is not proposed by default.
If that happens, you just have to check the ** Show fields of relation fields (advanced)** option, you will then be able to choose from the complete list of fields for each column.
Where can I change the date import format?¶
Flectra can automatically detect if a column is a date, and it will try to guess the date format from a set of most commonly used date formats. While this process can work for many date formats, some date formats will not be recognized. This can cause confusion due to day-month inversions; it is difficult to guess which part of a date format is the day and which part is the month in a date such as ‘01-03-2016’.
To view which date format Flectra has found from your file you can check the Date Format that is shown when clicking on Options under the file selector. If this format is incorrect you can change it to your liking using the ISO 8601 to define the format.
If you are importing an excel (.xls, .xlsx) file, you can use date cells to store dates as the display of dates in excel is different from the way it is stored. That way you will be sure that the date format is correct in Flectra whatever your locale date format is.
Can I import numbers with currency sign (e.g.: $32.00)?¶
Yes, we fully support numbers with parenthesis to represent negative sign as well as numbers with currency sign attached to them. Flectra also automatically detect which thousand/decimal separator you use (you can change those under options). If you use a currency symbol that is not known to Flectra, it might not be recognized as a number though and it will crash.
Examples of supported numbers (using thirty-two thousands as an example):
Example that will not work:
What can I do when the Import preview table isn’t displayed correctly?¶
By default the Import preview is set on commas as field separators and quotation marks as text delimiters. If your csv file does not have these settings, you can modify the File Format Options (displayed under the Browse CSV file bar after you select your file).
Note that if your CSV file has a tabulation as separator, Flectra will not detect the separations. You will need to change the file format options in your spreadsheet application. See the following question.
How can I change the CSV file format options when saving in my spreadsheet application?¶
If you edit and save CSV files in spreadsheet applications, your computer’s regional settings will be applied for the separator and delimiter. We suggest you use OpenOffice or LibreOffice Calc as they will allow you to modify all three options (in).
Microsoft Excel will allow you to modify only the encoding when saving (in).
What’s the difference between Database ID and External ID?¶
Some fields define a relationship with another object. For example, the country of a contact is a link to a record of the ‘Country’ object. When you want to import such fields, Flectra will have to recreate links between the different records. To help you import such fields, Flectra provides three mechanisms. You must use one and only one mechanism per field you want to import.
For example, to reference the country of a contact, Flectra proposes you 3 different fields to import:
Country: the name or code of the country
Country/Database ID: the unique Flectra ID for a record, defined by the ID postgresql column
Country/External ID: the ID of this record referenced in another application (or the .XML file that imported it)
For the country Belgium, you can use one of these 3 ways to import:
Country/Database ID: 21
Country/External ID: base.be
According to your need, you should use one of these 3 ways to reference records in relations. Here is when you should use one or the other, according to your need:
Use Country: This is the easiest way when your data come from CSV files that have been created manually.
Use Country/Database ID: You should rarely use this notation. It’s mostly used by developers as it’s main advantage is to never have conflicts (you may have several records with the same name, but they always have a unique Database ID)
Use Country/External ID: Use External ID when you import data from a third party application.
When you use External IDs, you can import CSV files with the “External ID” column to define the External ID of each record you import. Then, you will be able to make a reference to that record with columns like “Field/External ID”. The following two CSV files give you an example for Products and their Categories.
What can I do if I have multiple matches for a field?¶
If for example you have two product categories with the child name “Sellable” (ie. “Misc. Products/Sellable” & “Other Products/Sellable”), your validation is halted but you may still import your data. However, we recommend you do not import the data because they will all be linked to the first ‘Sellable’ category found in the Product Category list (“Misc. Products/Sellable”). We recommend you modify one of the duplicates’ values or your product category hierarchy.
However if you do not wish to change your configuration of product categories, we recommend you use make use of the external ID for this field ‘Category’.
How can I import a one2many relationship (e.g. several Order Lines of a Sales Order)?¶
If you want to import sales order having several order lines; for each order line, you need to
reserve a specific row in the CSV file. The first order line will be imported on the same row as the
information relative to order. Any additional lines will need an additional row that does not have
any information in the fields relative to the order. As an example, here is
purchase.order_functional_error_line_cant_adpat.CSV file of some quotations you can import,
based on demo data.
The following CSV file shows how to import purchase orders with their respective purchase order lines:
The following CSV file shows how to import customers and their respective contacts:
Can I import several times the same record?¶
If you import a file that contains one of the column “External ID” or “Database ID”, records that have already been imported will be modified instead of being created. This is very usefull as it allows you to import several times the same CSV file while having made some changes in between two imports. Flectra will take care of creating or modifying each record depending if it’s new or not.
This feature allows you to use the Import/Export tool of Flectra to modify a batch of records in your favorite spreadsheet application.
What happens if I do not provide a value for a specific field?¶
If you do not set all fields in your CSV file, Flectra will assign the default value for every non defined fields. But if you set fields with empty values in your CSV file, Flectra will set the EMPTY value in the field, instead of assigning the default value.
How to export/import different tables from an SQL application to Flectra?¶
If you need to import data from different tables, you will have to recreate relations between records belonging to different tables. (e.g. if you import companies and persons, you will have to recreate the link between each person and the company they work for).
To manage relations between tables, you can use the “External ID” facilities of Flectra. The “External ID” of a record is the unique identifier of this record in another application. This “External ID” must be unique across all the records of all objects, so it’s a good practice to prefix this “External ID” with the name of the application or table. (like ‘company_1’, ‘person_1’ instead of ‘1’)
As an example, suppose you have a SQL database with two tables you want to import: companies and
persons. Each person belong to one company, so you will have to recreate the link between a person
and the company he work for. (If you want to test this example, here is a
dump of such a
We will first export all companies and their “External ID”. In PSQL, write the following command:
> copy (select 'company_'||id as "External ID",company_name as "Name",'True' as "Is a Company" from companies) TO '/tmp/company.csv' with CSV HEADER;
This SQL command will create the following CSV file:
External ID,Name,Is a Company company_1,Bigees,True company_2,Organi,True company_3,Boum,True
To create the CSV file for persons, linked to companies, we will use the following SQL command in PSQL:
> copy (select 'person_'||id as "External ID",person_name as "Name",'False' as "Is a Company",'company_'||company_id as "Related Company/External ID" from persons) TO '/tmp/person.csv' with CSV
It will produce the following CSV file:
External ID,Name,Is a Company,Related Company/External ID person_1,Fabien,False,company_1 person_2,Laurence,False,company_1 person_3,Eric,False,company_2 person_4,Ramsy,False,company_3
As you can see in this file, Fabien and Laurence are working for the Bigees company (company_1) and Eric is working for the Organi company. The relation between persons and companies is done using the External ID of the companies. We had to prefix the “External ID” by the name of the table to avoid a conflict of ID between persons and companies (person_1 and company_1 who shared the same ID 1 in the original database).
The two files produced are ready to be imported in Flectra without any modifications. After having imported these two CSV files, you will have 4 contacts and 3 companies. (the firsts two contacts are linked to the first company). You must first import the companies and then the persons.