Import data

Configure APIDAE (ex-SITRA) import

To import touristic content from APIDAE (ex-SITRA), edit /opt/geotrek-admin/var/conf/parsers.py file with the following content:

from geotrek.tourism.parsers import TouristicContentApidaeParser

class HebergementParser(TouristicContentApidaeParser):
    label = "Hébergements"
    api_key = 'xxxxxxxx'
    project_id = 9999
    selection_id = 99999
    category = "Hébergement"
    type1 = ["Camping"]
    type2 = ["3 étoiles", "Tourisme et Handicap"]  # just remove this line if no type2

Then set up appropriate values:

label at your convenience,
api_key, project_id and selection_id according to your APIDAE (ex-SITRA) configuration
category, type1 and type2 (optional) to select in which Geotrek category/type imported objects should go
You can add delete = True in your class if you want to delete objects in Geotrek databases that has been deleted in your Apidae selection. It will only delete objects that match with your class settings (category, types, portal…)
You can also use the class HebergementParser if you only import accomodations
See https://github.com/GeotrekCE/Geotrek-admin/blob/master/geotrek/tourism/parsers.py for details about Parsers

You can duplicate the class. Each class must have a different name. Don’t forget the u character before strings if they contain non-ascii characters.

To apply changes, you may have to run sudo service geotrek restart.

Configure Marque Esprit Parc import

To import touristic content from Esprit Parc national database, create (or update) /opt/geotrek-admin/var/conf/parsers.py file with the following content:

from geotrek.tourism.parsers import EspritParcParser

class XXXEspritParcParser(EspritParcParser):
    label = "Marque Esprit Parc"
    url = "https://gestion.espritparcnational.com/ws/?f=getProduitsSelonParc&codeParc=XXX"

Then set up appropriate values:

XXX by unique national park code (ex: PNE)

You can duplicate the class. Each class must have a different name. Don’t forget the u character before strings if they contain non-ascii characters.

In this case categories and types in Geotrek database have to be the same as in Esprit parc database. Otherwise missing categories and types will be created in Geotrek database.

Imported contents will be automatically published and approved.

If you use an url that filters a unique category, you can change its name. Example to get only Honey products and set the Geotrek category and type in which import them:

class MielEspritParcParser(EspritParcParser):
    label = "Miel Esprit Parc national"
    url = "https://gestion.espritparcnational.com/ws/?f=getProduitsSelonParc&codeParc=XXX&typologie=API"
    constant_fields = {
        'category': "GeotrekCategoryName",
        'published': True,
        'approved': True,
        'deleted': False,
    }
    m2m_constant_fields = {
        'type1': "GeotrekTypeName",
    }

URL to get Esprit parc types: https://gestion.espritparcnational.com/ws/?f=getTypologieProduits.

Sensitive areas import

When sensitive areas module is enabled, Geotrek provides 3 parsers to import data:

Import sensitive areas from http://biodiv-sports.fr (geotrek.sensitivity.parsers.BiodivParser). By default this parser imports all sensitive areas in configured spatial extent.
Import species sensitive areas from a ziped shapefile. Imported field names are: espece (required), contact and descriptio. Species with corresponding names have to be created manually before import.
Import regulatory sensitive areas from a ziped shapefile. Imported field names are: nom (required), contact, descriptio, periode (month numbers separated with comas), pratiques (separated with comas), and url. Practices with corresponding names have to be created manually before import.

You can start imports from “Import” menu or from command line. You can override them in your var/conf/parsers.py file.

Multiples import

When you need to import data for the same object found in 2 different parsers, you can to force the aggregation of both values in many to many relationship case. It can be interesting with portals for example.

Param for the aggregation : m2m_aggregate_fields

Here is an example with 2 parsers :

class Portal_1Parser(XXXParser):
    portal = "portal_1"

class AggregateParser(XXXParser):
    portal = "portal_2"
    m2m_aggregate_fields = ["portal"]

Then, when you import the first parser Portal_1Parser, you get multiple objects with portal_1 as portal. If any object of the Portal_1Parser is also in AggregateParser, fields in m2m_aggregate_fields will have their values not be replaced but aggregated. Then your object in both portals will have as portal: portal_1, portal_2

Here in this example whenever you import the first parser Portal_1Parser, portals are replaced because m2m_aggregate_fields is not filled. Then, be careful to import parsers in the right order or add the param m2m_aggregate_fields on all parsers.

If you need to cancel the aggregation of portals, remove param m2m_aggregate_fields.

Start import from command line

Just run:

sudo geotrek import HebergementParser

Change HebergementParser to match one of the class names in var/conf/parsers.py file. You can add -v2 parameter to make the command more verbose (show progress). Thank to cron utility you can configure automatic imports.

Start import from Geotrek-admin UI

Open the top right menu and clic on imports.

Import from a file

You can also use some of Geotrek commands to import data from a vector file handled by GDAL (https://gdal.org/drivers/vector/index.htm) (e.g.: ESRI Shapefile, GeoJSON, GeoPackage etc.)

Possible data are e.g.: POI, infrastructures, signages, cities, districts, restricted areas.

You must use these commands to import spatial data because of the dynamic segmentation, which will not be computed if you enter the data manually.

To list all Geotrek commands available:

sudo geotrek

To get help about a command:

sudo geotrek help <subcommand>

Example: sudo geotrek help loadpoi

Delete attachment from disk

When an attachment (eg. pictures) is removed, its file is not automatically removed from disk. You have to run sudo geotrek clean_attachments manually or in a cron to remove old files. After that, you should run sudo geotrek thumbnail_cleanup to remove old thumbnails.