How to Import Data¶
For security and privacy concerns, only organization’s owner can import data. Also, the importer will only be available
if you have
HIPCHAT_IMPORTER_ENABLED set to 1.
You can find an entry on sidebar menu, right above the “go to chat” button:
After clicking on this item, you’ll the the import data page.
Besides the file, there are 3 options available:
exclude all data: removes all your organization data except your user and the organization itself. This should be enabled only if you have a fresh installation of Grape or want to reset your data;
NLP Processing: if enabled, all messages will be processed by our NLP algorithm. Grape’s natural language processing system annotates your messages, so you can browse – for example – all decisions, tasks and questions of a project with one click. This option must be enabled for your organization;
Link Preview: Generate link preview for all new messages. This feature must be enabled for your organization.
For the link preview generation and NLP, the process will only consider messages within one month from the last imported message and a maximum of 1000 messages
Follow the Process¶
After the process starts, you can either just close the window or follow the process:
In both cases, you’ll receive an email when the process is done.
If for any reason you need to abort the process, you can just click on the following button:
And confirm the action:
The process should stop immediately.
Past Import Processes¶
You can see a list of past imports, and the active import, on the initial screen where the file was uploaded and the process started. Just click on any process to see more details.
Command Line Interface (CLI)¶
The grape importer also comes with a command line interface that does exactly the same thing and can be followed either the terminal itself or on the GUI.
It takes the same options the GUI plus an extra option to detach the process from the terminal.
However, in this case, the compressed file must be given and not uploaded.
./manage.py hipchat_importer -h usage: manage.py hipchat_importer [-h] -f FILE_PATH -o ORG_ID [-c] [-u] [-n] [-d] optional arguments: -h, --help show this help message and exit -f FILE_PATH, --file FILE_PATH Path to compressed file -o ORG_ID, --organization ORG_ID ID of the Organization -c, --clean Completely clean the organization -u, --unfurl Generate link preview for all new messages -n, --nlp Apply NLP to all new messages -d, --detach Detach process from terminal
User will see progress bars as on GUI: