This sample notebook can be used for cloning a portal, from say, a staging to a production environment. It clones the users, groups and the content. It does not copy over services though, and works at the tier of portal items.
Note: To use this notebook as a Python script, check out the accompanying SDK GitHub repository. Running this as a script from a Python IDE allows you to set breakpoints, debug, and inspect the script when an exception is raised.
# Import libraries from arcgis.gis import GIS from IPython.display import display from getpass import getpassDefine the source and target portals
To start with, define the source and target portals. Connect to them using accounts with administrative privileges:
source_password = getpass() target_password = getpass() source = GIS("source portal url", username, source_password) target = GIS("target portal url", username, target_password) target_admin_username = 'admin'········ ········
Users
List the users in the source and target portals. We do not want to copy over system accounts since those would be available in the target portal as well. Hence, filter the search by negating any account that starts with 'esri_'. We also do not want to copy over the initial administrator account as one would be present in the target as well. Hence, negate the account that starts with admin which happens to be the administrator account on source portal.
#!esri_ & !admin source_users = source.users.search('!esri_ & !admin') for user in source_users: print(user.username + "\t:\t" + str(user.role))brown.rogers : org_user davis.reed : org_admin johnson.stewart : org_user jones.morris : org_user miller.cook : org_publisher moore.bell : org_publisher project_archiver : org_user smith.collins : org_admin taylor.murphy : org_publisher williams.sanchez : org_user wilson.morgan : org_publisher
Get the number of users to migrate:
len(source_users)11
Get the list of users already present in the target portal. Similar to earlier, filter out system and initial administrator accounts. The name of the admin account on target portal is admin as well in this example.
# filter out system and initial administrator accounts target_users = target.users.search('!esri_ & !admin & !system_publisher') target_users[<User username:arcgis_python_api>, <User username:publisher1>]
If users found on source portal were already in the target portal, run the following code to delete them. You can choose to not delete them as well.
Remove existing users from target portal
If you want to clean up the target portal except for the initial administrator account, run the cell below. As you delete, you may opt to assign their content to the initial administrator account.
for source_user in source_users: try: target_user = target.users.get(source_user.username) if target_user is not None: print('Deleting user: ' + target_user.fullName) target_user.reassign_to(target_admin_username) target_user.delete() except: print('User {} does not exist in Target Portal'.format(source_user.username))Copy Users
Create a function that will accept connection to the target portal, User objects from source portal and password to create users with. In addition to creating the users, this function will set their access, description, tags and other similar properties from source. If a user by the same name already exists in the target portal (possible if you opted not to clean out the target portal) then this function prints out an error message.
def copy_user(target_portal, source_user, password): # See if the user has firstName and lastName properties try: first_name = source_user.firstName last_name = source_user.lastName except: # if not, split the fullName full_name = source_user.fullName first_name = full_name.split()[0] try: last_name = full_name.split()[1] except: last_name = 'NoLastName' try: # create user target_user = target_portal.users.create(source_user.username, password, first_name, last_name, source_user.email, source_user.description, source_user.role) # update user properties target_user.update(source_user.access, source_user.preferredView, source_user.description, source_user.tags, source_user.get_thumbnail_link(), culture=source_user.culture, region=source_user.region) return target_user except Exception as Ex: print(str(Ex)) print("Unable to create user "+ source_user.username) return NoneFor each user in source portal, make a corresponding user in target portal. In this sample, we provide a common password to all users TestPassword@123 as we are creating users off the built-in identity store. If you are creating users off your enterprise identity store, you can ignore the password parameter and use the provider and idp_username parameters as explained in the API reference doc.
for user in source_users: print("Creating user: " + user.username) copy_user(target, user, 'TestPassword@123')Creating user: brown.rogers Creating user: davis.reed Creating user: johnson.stewart Creating user: jones.morris Creating user: miller.cook Creating user: moore.bell Creating user: project_archiver Creating user: smith.collins Creating user: taylor.murphy Creating user: williams.sanchez Creating user: wilson.morgan
Verify that users have been added to target portal:
target_users = target.users.search() target_users[<User username:admin>, <User username:arcgis_python_api>, <User username:brown.rogers>, <User username:davis.reed>, <User username:esri_boundaries>, <User username:esri_demographics>, <User username:esri_livingatlas>, <User username:esri_nav>, <User username:johnson.stewart>, <User username:jones.morris>, <User username:miller.cook>, <User username:moore.bell>, <User username:project_archiver>, <User username:publisher1>, <User username:smith.collins>, <User username:system_publisher>, <User username:taylor.murphy>, <User username:williams.sanchez>, <User username:wilson.morgan>]
Thus, users have been successfully added to the target portal
Groups
List the groups in the source and target portals. Similar to how we searched for users, we will ignore the system created and default groups as they would be available on the target portal as well.
# filter out system created groups source_groups = source.groups.search("!owner:esri_* & !Basemaps") source_groups[<Group title:"Central Services" owner:admin>, <Group title:"Compliance" owner:admin>, <Group title:"Customer Service, Finance, Billing and Accounting" owner:admin>, <Group title:"Demographic Content" owner:admin>]
target_groups = target.groups.search("!owner:esri_* & !Basemaps") target_groups[<Group title:"Featured Maps and Apps" owner:admin>]
If any of the groups from source are already in the target, run the following code to delete them. If the group belongs to any of default user accounts, don't delete it. This step is optional, you may choose to not delete those groups if you prefer to retain them as is.
for tg in target_groups: for sg in source_groups: if sg.title == tg.title and (not tg.owner.startswith('esri_')): print("Cleaning up group {} in target Portal...".format(tg.title)) tg.delete() breakCopy Groups
Let us create a function that will clone the groups one at a time. As you call this function in a loop for each group, it reads the source group's properties, downloads thumbnail into a temporary file then creates a similar named group on target and applies those properties and thumbnail. If one of your portals is an organization on ArcGIS Online and other is an ArcGIS Enterprise, certain privacy properties need to be adapted. This function takes care of that. After creating the group, it finds which users were members of it and adds them appropriately.
import tempfile GROUP_COPY_PROPERTIES = ['title', 'description', 'tags', 'snippet', 'phone', 'access', 'isInvitationOnly'] def copy_group(target, source, source_group): with tempfile.TemporaryDirectory() as temp_dir: try: target_group = {} for property_name in GROUP_COPY_PROPERTIES: target_group[property_name] = source_group[property_name] if source_group['access'] == 'org' and target.properties['portalMode'] == 'singletenant': #cloning from ArcGIS Online to ArcGIS Enterprise target_group['access'] = 'public' elif source_group['access'] == 'public'\ and source.properties['portalMode'] == 'singletenant'\ and target.properties['portalMode'] == 'multitenant'\ and 'id' in target.properties: #cloning from ArcGIS Enterprise to ArcGIS Online org target_group['access'] = 'org' # Download the thumbnail (if one exists) thumbnail_file = None if 'thumbnail' in group: target_group['thumbnail'] = group.download_thumbnail(temp_dir) # Create the group in the target portal copied_group = target.groups.create_from_dict(target_group) # Reassign all groups to correct owners, add users, and find shared items members = group.get_members() if not members['owner'] == target_admin_username: copied_group.reassign_to(members['owner']) if members['users']: copied_group.add_users(members['users']) return copied_group except: print("Error creating " + source_group['title'])For each group in source portal, make a corresponding group in target portal.
from IPython.display import display for group in source_groups: target_group = copy_group(target, source, group) if target_group: display(target_group)
As you can see, we were able to add the groups with their thumbnails. Now let us verify that groups can be listed on the target portal:
target_groups = target.groups.search() target_groups[<Group title:"Central Services" owner:admin>, <Group title:"Compliance" owner:admin>, <Group title:"Customer Service, Finance, Billing and Accounting" owner:admin>, <Group title:"Demographic Content" owner:admin>, <Group title:"Esri Boundary Layers" owner:esri_boundaries>, <Group title:"Esri Demographic Layers" owner:esri_demographics>, <Group title:"Featured Maps and Apps" owner:admin>, <Group title:"Living Atlas" owner:esri_livingatlas>, <Group title:"Living Atlas Analysis Layers" owner:esri_livingatlas>, <Group title:"Navigator Maps" owner:esri_nav>]
With this part of the sample, we have successfully created users, groups and added the appropriate users to these groups. Thus, you can call the get_members() method one of the groups to view its members:
group1 = target_groups[0] group1.get_members(){'admins': ['admin'], 'owner': 'admin', 'users': ['brown.rogers', 'johnson.stewart', 'taylor.murphy', 'smith.collins']}Items
Copying items consists of multiple steps as explained in the following section of the sample:
- For each user create a mapping of itemId to the
Item - Prepare sharing information for each item
- Print a mapping of item and its group membership
- Copy items one by one
- Establish relationship between items
For each user create a mapping of itemId to the Item
Do this for every folder in the user's account on the source portal
source_items_by_id = {} for user in source_users: num_items = 0 num_folders = 0 print("Collecting item ids for {}".format(user.username), end="\t\t") user_content = user.items() # Get item ids from root folder first for item in user_content: num_items += 1 source_items_by_id[item.itemid] = item # Get item ids from each of the folders next folders = user.folders for folder in folders: num_folders += 1 folder_items = user.items(folder=folder['title']) for item in folder_items: num_items += 1 source_items_by_id[item.itemid] = item print("Number of folders {} # Number of items {}".format(str(num_folders), str(num_items)))Collecting item ids for brown.rogers Number of folders 1 # Number of items 3 Collecting item ids for davis.reed Number of folders 1 # Number of items 3 Collecting item ids for johnson.stewart Number of folders 1 # Number of items 3 Collecting item ids for jones.morris Number of folders 1 # Number of items 3 Collecting item ids for miller.cook Number of folders 1 # Number of items 3 Collecting item ids for moore.bell Number of folders 1 # Number of items 3 Collecting item ids for project_archiver Number of folders 7 # Number of items 18 Collecting item ids for smith.collins Number of folders 1 # Number of items 4 Collecting item ids for taylor.murphy Number of folders 1 # Number of items 3 Collecting item ids for williams.sanchez Number of folders 1 # Number of items 3 Collecting item ids for wilson.morgan Number of folders 1 # Number of items 3
Let us print the dictionary of {item_id : Item object}
source_items_by_id{'0c8ffe4ab7754eedbd2c514032f7e913': <Item title:"IN" type:Feature Service owner:williams.sanchez>, '0fdcdd6eed9e4e6aa83575da5c4d8ff0': <Item title:"IN" type:CSV owner:williams.sanchez>, '10eff50fda644f2fa9261ee925a24495': <Item title:"set2_empty" type:Map Document owner:project_archiver>, '14935a49a8544d8eb0eeadaa6216bbba': <Item title:"set2_USAcities" type:File Geodatabase owner:project_archiver>, '1506548f309140d89a19886913d8395a': <Item title:"Miller Cook response locations" type:Web Map owner:miller.cook>, '1cb04f79f8a74826bab704efe5206603': <Item title:"set1_gov_sites_registration" type:Microsoft Excel owner:project_archiver>, '1d8820ef73064498983af1af326ddb9d': <Item title:"Johnson Stewart response locations" type:Web Map owner:johnson.stewart>, '28984d7a69f34b51b07a087800931d6f': <Item title:"Jones Morris response locations" type:Web Map owner:jones.morris>, '297a1819ba9b43ffb8adcab6a7eebd53': <Item title:"LA" type:CSV owner:taylor.murphy>, '464fdece247e46b1ba861a7ac92701a4': <Item title:"FL" type:CSV owner:davis.reed>, '48f17e7559ca4d65b5eab5b78cabf085': <Item title:"set1_fortune500" type:File Geodatabase owner:project_archiver>, '4a6c6b94d1d840f3a19d7da922be4c82': <Item title:"KS" type:CSV owner:smith.collins>, '54cf94db12e64092bef153b9f2c07176': <Item title:"set2_australia" type:GeoJson owner:project_archiver>, '56d1921b6cfb46e89bd697668cceb708': <Item title:"set1_mapping_tech" type:Microsoft Powerpoint owner:project_archiver>, '59132371ac22462a899bcaf7b561f1cd': <Item title:"set2_Voronoi-diagram" type:Microsoft Word owner:project_archiver>, '67503e5077f240738e091e4c1da13745': <Item title:"set3_Streets" type:Map Document owner:project_archiver>, '715f8038c23b4b53a1280ae1b7b4a9bc': <Item title:"Williams Sanchez response locations" type:Web Map owner:williams.sanchez>, '71b66b8e628b46c9850cefd91f67f604': <Item title:"NV" type:Feature Service owner:johnson.stewart>, '73118cf2a8334a9884f269f81ab25c45': <Item title:"Taylor Murphy response locations" type:Web Map owner:taylor.murphy>, '734529a8daad4317bc6daedfe01fdc9f': <Item title:"set2_catalina-points" type:KML owner:project_archiver>, '75c63c8de25943f9b5ed9c477e556034': <Item title:"set1_Chicago" type:CSV owner:project_archiver>, '7be7710b5e4b44cf836139a115825b2e': <Item title:"ID" type:CSV owner:wilson.morgan>, '7c4fdc5508004253960993bbab02bf61': <Item title:"NC" type:CSV owner:jones.morris>, '7e854deebcd1442eb850a3ea84732679': <Item title:"set1_major_cities" type:Locator Package owner:project_archiver>, '819d0cbed11f4f81a98e7f388fb8eeab': <Item title:"Smith Collins response locations" type:Web Map owner:smith.collins>, '882009025e11471caad3f48389fde221': <Item title:"FL" type:Feature Service owner:davis.reed>, '8a6b1ed1b7be4cdeb298020cf5108c70': <Item title:"set2_Chicago" type:CSV owner:project_archiver>, '8d025e7368974649a3eb0691656dfa57': <Item title:"set2_SD_crime" type:Map Document owner:project_archiver>, '97d15ea9057549cdbe67344fe129c758': <Item title:"ID" type:Feature Service owner:wilson.morgan>, '9afed1a827914a53af34af490f64ecdf': <Item title:"Moore Bell response locations" type:Web Map owner:moore.bell>, 'a0929a38db3240cfaffbc254d00e1827': <Item title:"AZ" type:Feature Service owner:moore.bell>, 'a89398de64444d58a9ea6a0cc407c6b7': <Item title:"LA" type:Feature Service owner:taylor.murphy>, 'aaa6ad38f9c24b4294a4c6d0994fc7c7': <Item title:"AR" type:Feature Service owner:brown.rogers>, 'b18c614bc00d40d0a216754d1aa8b150': <Item title:"Brown Rogers response locations" type:Web Map owner:brown.rogers>, 'b8c648204c804c289930b9e121dd8fdb': <Item title:"AZ" type:CSV owner:moore.bell>, 'ba3d9b3e6793406696497be34607de44': <Item title:"set1_GeoJson" type:PDF owner:project_archiver>, 'c56e60ab29f1400fbc46cc2732724ef8': <Item title:"Wilson Morgan response locations" type:Web Map owner:wilson.morgan>, 'd65f34a670654818a010771d9a896760': <Item title:"Davis Reed response locations" type:Web Map owner:davis.reed>, 'd6818b3d16c847b5ab9986d708b992a2': <Item title:"set2_counties" type:Locator Package owner:project_archiver>, 'd8fdaa873f724c7abdca62a42de0c97a': <Item title:"USA_cities_Fortune_500" type:Map Document owner:project_archiver>, 'dee8ae7fede64f8e94c39d4f6aff8d6f': <Item title:"KS" type:Feature Service owner:smith.collins>, 'e0e716ac1d774cb190765dd7a2a7421f': <Item title:"set1_india" type:GeoJson owner:project_archiver>, 'e76f3fab66534499bdc394558a645357': <Item title:"NV" type:CSV owner:johnson.stewart>, 'ea36c5dbd4e142079c43b17cb49b4258': <Item title:"set1_GeoJson" type:Microsoft Word owner:project_archiver>, 'ebd57622fb984f1c96122c4b442ea6d7': <Item title:"AR" type:CSV owner:brown.rogers>, 'edba588da56b4a3ab2f2df576f9c6b99': <Item title:"NH" type:CSV owner:miller.cook>, 'eed82e9d95dc4ad6a0f3d21e530e0a8f': <Item title:"Smith Collins response locations" type:Web Map owner:smith.collins>, 'f3f87cb385ea4ae291fd6557338e8e0b': <Item title:"NH" type:Feature Service owner:miller.cook>, 'f9866c5a2be0428abe1c7097993d9b36': <Item title:"NC" type:Feature Service owner:jones.morris>}Prepare sharing information for each item
Using the dictionary we created above, find to which groups are each of the items shared to.
for group in source_groups: #iterate through each item shared to the source group for group_item in group.content(): try: #get the item item = source_items_by_id[group_item.itemid] if item is not None: if not 'groups'in item: item['groups'] = [] #assign the target portal's corresponding group's name item['groups'].append(group['title']) except: print("Cannot find item : " + group_item.itemid)Print a mapping of item and its group membership
for key in source_items_by_id.keys(): item = source_items_by_id[key] print("\n{:40s}".format(item.title), end = " # ") if 'groups' in item: print(item.access, end = " # ") print(item.groups, end = "")KS # NC # AR # set2_catalina-points # FL # KS # set1_GeoJson # set2_australia # NV # AZ # NV # FL # set3_Streets # set2_counties # ID # Brown Rogers response locations # shared # ['Central Services'] set1_Chicago # set2_USAcities # Jones Morris response locations # shared # ['Customer Service, Finance, Billing and Accounting'] set2_Chicago # Miller Cook response locations # shared # ['Demographic Content'] ID # set1_fortune500 # set1_gov_sites_registration # Smith Collins response locations # shared # ['Central Services'] set1_india # Johnson Stewart response locations # shared # ['Central Services'] set2_SD_crime # IN # set1_GeoJson # LA # Moore Bell response locations # shared # ['Compliance', 'Demographic Content'] set2_empty # Williams Sanchez response locations # shared # ['Customer Service, Finance, Billing and Accounting'] NH # IN # AR # AZ # Wilson Morgan response locations # shared # ['Compliance', 'Demographic Content'] Davis Reed response locations # shared # ['Demographic Content'] Smith Collins response locations # NC # set1_mapping_tech # USA_cities_Fortune_500 # Taylor Murphy response locations # shared # ['Central Services', 'Compliance'] set2_Voronoi-diagram # set1_major_cities # LA # NH #
As we can see from above, some items are shared to a few groups while some are not.
Copy Items
Below we define a function that you can call in a loop for each item in the dictionary we composed earlier. If the item is a text based item such as a Web Map or a file based item such as a layer package, it downloads the item's data to a temporary directory and uses that for creating the target item during cloning. You can find the exhaustive list of different items that you can upload to your portal and their corresponding item types from the REST API documentation. For brevity, this sample covers only a subset of those items. Note, if the item points to a web layer URL, the target item would also point to the same URL.
TEXT_BASED_ITEM_TYPES = frozenset(['Web Map', 'Feature Service', 'Map Service','Web Scene', 'Image Service', 'Feature Collection', 'Feature Collection Template', 'Web Mapping Application', 'Mobile Application', 'Symbol Set', 'Color Set', 'Windows Viewer Configuration']) FILE_BASED_ITEM_TYPES = frozenset(['File Geodatabase','CSV', 'Image', 'KML', 'Locator Package', 'Map Document', 'Shapefile', 'Microsoft Word', 'PDF', 'Microsoft Powerpoint', 'Microsoft Excel', 'Layer Package', 'Mobile Map Package', 'Geoprocessing Package', 'Scene Package', 'Tile Package', 'Vector Tile Package']) ITEM_COPY_PROPERTIES = ['title', 'type', 'typeKeywords', 'description', 'tags', 'snippet', 'extent', 'spatialReference', 'name', 'accessInformation', 'licenseInfo', 'culture', 'url']We define the copy function for items below. This function gets the properties of the item from source and applies it to the target. If the items were saved inside a folder, it creates that folder on the target as well. Finally, it sets the privacy (sharing) properties similar to how it was on the source portal.
def copy_item(target, source_item): try: with tempfile.TemporaryDirectory() as temp_dir: item_properties = {} for property_name in ITEM_COPY_PROPERTIES: item_properties[property_name] = source_item[property_name] data_file = None if source_item.type in TEXT_BASED_ITEM_TYPES: # If its a text-based item, then read the text and add it to the request. text = source_item.get_data(False) item_properties['text'] = text elif source_item.type in FILE_BASED_ITEM_TYPES: # download data and add to the request as a file data_file = source_item.download(temp_dir) item_properties["thumbnail"] = source_item.download_thumbnail(temp_dir) item_properties["metadata"] = source_item.download_metadata(temp_dir) #find item's owner source_item_owner = source.users.search(source_item.owner)[0] #find item's folder item_folder_titles = [f['title'] for f in source_item_owner.folders if f['id'] == source_item.ownerFolder] folder_name = None if len(item_folder_titles) > 0: folder_name = item_folder_titles[0] #if folder does not exist for target user, create it if folder_name: target_user_folders = target.content.folders.get(folder_name) if target_user_folders is None: #create the folder folder = target.content.folders.create(folder_name, source_item.owner) else: folder = target.content.folders.get() #root folder # Add the item to the target portal, assign owner and folder target_item = folder.add(item_properties, data_file) #Set sharing (privacy) information share_everyone = source_item.access == 'public' share_org = source_item.access in ['org', 'public'] share_groups = [] if source_item.access == 'shared': share_groups = source_item.groups target_item.share(share_everyone, share_org, share_groups) return target_item except Exception as copy_ex: print("\tError copying " + source_item.title) print("\t" + str(copy_ex)) return NoneCopy over each item. While doing so, construct a dictionary mapping of source item's ID with target item's ID
source_target_itemId_map = {} for key in source_items_by_id.keys(): source_item = source_items_by_id[key] print("Copying {} \tfor\t {}".format(source_item.title, source_item.owner)) target_item = copy_item(target, source_item) if target_item: source_target_itemId_map[key] = target_item.itemid else: source_target_itemId_map[key] = NoneCopying KS for smith.collins Copying NC for jones.morris Copying AR for brown.rogers Copying set2_catalina-points for project_archiver Copying FL for davis.reed Copying KS for smith.collins Copying set1_GeoJson for project_archiver Copying set2_australia for project_archiver Copying NV for johnson.stewart Copying AZ for moore.bell Copying NV for johnson.stewart Copying FL for davis.reed Copying set3_Streets for project_archiver Copying set2_counties for project_archiver Copying ID for wilson.morgan Copying Brown Rogers response locations for brown.rogers Copying set1_Chicago for project_archiver Copying set2_USAcities for project_archiver Copying Jones Morris response locations for jones.morris Copying set2_Chicago for project_archiver Copying Miller Cook response locations for miller.cook Copying ID for wilson.morgan Copying set1_fortune500 for project_archiver Copying set1_gov_sites_registration for project_archiver Copying Smith Collins response locations for smith.collins Copying set1_india for project_archiver Copying Johnson Stewart response locations for johnson.stewart Copying set2_SD_crime for project_archiver Copying IN for williams.sanchez Copying set1_GeoJson for project_archiver Copying LA for taylor.murphy Copying Moore Bell response locations for moore.bell Copying set2_empty for project_archiver Copying Williams Sanchez response locations for williams.sanchez Copying NH for miller.cook Copying IN for williams.sanchez Copying AR for brown.rogers Copying AZ for moore.bell Copying Wilson Morgan response locations for wilson.morgan Copying Davis Reed response locations for davis.reed Copying Smith Collins response locations for smith.collins Copying NC for jones.morris Copying set1_mapping_tech for project_archiver Copying USA_cities_Fortune_500 for project_archiver Copying Taylor Murphy response locations for taylor.murphy Copying set2_Voronoi-diagram for project_archiver Copying set1_major_cities for project_archiver Copying LA for taylor.murphy Copying NH for miller.cook
We have successfully cloned all the items from source to target. We can query the contents of one of the users below to verify:
user1 = target.users.search()[2] user1
user1.items()[<Item title:"AR" type:Feature Service owner:brown.rogers>, <Item title:"AR" type:CSV owner:brown.rogers>]
We could query the folders belonging to this user and the items within as well
user1.folders[{'created': 1491335086184, 'id': 'ebfdbc2bb47f4d5f92b6673a8a68a89f', 'title': 'Rogers_webmaps', 'username': 'brown.rogers'}]user1.items(folder=user1.folders[0]['title'])[<Item title:"Brown Rogers response locations" type:Web Map owner:brown.rogers>]
Establish relationship between items
So far, we have successfully cloned users, groups and items from source to target. Next, we will establish identical relationships between items as they were in the source portal.
RELATIONSHIP_TYPES = frozenset(['Map2Service', 'WMA2Code', 'Map2FeatureCollection', 'MobileApp2Code', 'Service2Data', 'Service2Service'])Below, we loop through each item in source portal, find to which other item it is related and the type of that relationship. If a relationship is found, we find the corresponding items in target and establish the same relationship. To make this work, we will make use of the dictionary that maps the itemIds on source and target we created during the item clone stage. Let us take a look at that dictionary below:
source_target_itemId_map{'0c8ffe4ab7754eedbd2c514032f7e913': 'a83e41e4768c486d8fbece1a9cd819b1', '0fdcdd6eed9e4e6aa83575da5c4d8ff0': 'b7b266c064634c10868cae2daf6b922e', '10eff50fda644f2fa9261ee925a24495': '4328e2087aa74f92913e2af005d7590e', '14935a49a8544d8eb0eeadaa6216bbba': '034c8ccc02de4d199171ad5ac53decbe', '1506548f309140d89a19886913d8395a': '1a167bb7f305456087db833a956e0c8a', '1cb04f79f8a74826bab704efe5206603': 'fa725ccf2c31446d99efe6792403564d', '1d8820ef73064498983af1af326ddb9d': '66c5fe735bf142f0b0d79e1de0372a45', '28984d7a69f34b51b07a087800931d6f': 'a3e4a6ea11124ff48fa6f13100649756', '297a1819ba9b43ffb8adcab6a7eebd53': 'ef11e8a203014cb4899c1c61369437c6', '464fdece247e46b1ba861a7ac92701a4': '95f05a2413e8471c9fa06ed4b9f65f6c', '48f17e7559ca4d65b5eab5b78cabf085': 'be9e963a42ea4ae4872bc12059db3eeb', '54cf94db12e64092bef153b9f2c07176': 'ba525e9a038748dd9fe595151a7c5c73', '56d1921b6cfb46e89bd697668cceb708': '3db062fa1aa249efaac1ed734edf8779', '59132371ac22462a899bcaf7b561f1cd': '93a4bf9d217349fb9324eb2fafda5621', '67503e5077f240738e091e4c1da13745': 'e256401189684e1ba88ac175d01ff2d6', '715f8038c23b4b53a1280ae1b7b4a9bc': 'd2a560bff4034238b8b2b5278e7855ff', '71b66b8e628b46c9850cefd91f67f604': '18861c8f7833430fa621f566da8d055a', '73118cf2a8334a9884f269f81ab25c45': 'a845548e6de94b179ffab40819b8a175', '734529a8daad4317bc6daedfe01fdc9f': '90e2b02043df4d6a818cd3c11d9060ff', '75c63c8de25943f9b5ed9c477e556034': 'ae666900d38d4b0c8a610bfdc1af74c5', '7be7710b5e4b44cf836139a115825b2e': '6918e98589a846e7877e08a2678c52bc', '7c4fdc5508004253960993bbab02bf61': 'd7ded032276244cb93da101eed2a6de9', '7e854deebcd1442eb850a3ea84732679': '8f43bca0d1c04ab1939d7840d27d497b', '819d0cbed11f4f81a98e7f388fb8eeab': '9819e9b97e6b45f7b472fcea3813e9a7', '882009025e11471caad3f48389fde221': 'c76bab88f25843d498500b13593bc5cb', '8a6b1ed1b7be4cdeb298020cf5108c70': '60158b3293de4b17bd9dab7a5e49823b', '8d025e7368974649a3eb0691656dfa57': 'fe174f158e46437a91bd5e1bcd1208f9', '97d15ea9057549cdbe67344fe129c758': 'a174cddd5c2e4795a8cb3c24e3923917', '9afed1a827914a53af34af490f64ecdf': 'ec6adb1ba69c4b62a0a7ffc5bb77b8d0', 'a0929a38db3240cfaffbc254d00e1827': '2544da801896434cbdee71ba53595569', 'a89398de64444d58a9ea6a0cc407c6b7': '3bd28b9286d3406b89624d5156f42bc1', 'aaa6ad38f9c24b4294a4c6d0994fc7c7': '985ba4a4fca9425ebdc7599ed29f4673', 'b18c614bc00d40d0a216754d1aa8b150': 'b442463bd44341ad95858c8f5c386714', 'b8c648204c804c289930b9e121dd8fdb': 'a90f58b560ea421193e63fddccc93b42', 'ba3d9b3e6793406696497be34607de44': 'd2a2aa9425854b24a561b282632fde56', 'c56e60ab29f1400fbc46cc2732724ef8': '1200541fdc444a9680e5bc447f0fb23b', 'd65f34a670654818a010771d9a896760': '8f02739994df48e795b2b8a2b1e09dc6', 'd6818b3d16c847b5ab9986d708b992a2': '457041ce43564d7e8304d128787bcbdb', 'd8fdaa873f724c7abdca62a42de0c97a': '38bf01476282444e9f3468324fde8743', 'dee8ae7fede64f8e94c39d4f6aff8d6f': '5b185e3231224f37af416f2c55d6747d', 'e0e716ac1d774cb190765dd7a2a7421f': 'e5099e2a674f49aebf4a140920abf67a', 'e76f3fab66534499bdc394558a645357': '9be7de598e714b66ab2058d85313e69f', 'ea36c5dbd4e142079c43b17cb49b4258': '390da582debf43ee8dd5a2a17df816b1', 'ebd57622fb984f1c96122c4b442ea6d7': '9f9f91d7a0e64072921f5eced954168c', 'edba588da56b4a3ab2f2df576f9c6b99': 'e0f42fc1c8c341b9925debace5e402f9', 'eed82e9d95dc4ad6a0f3d21e530e0a8f': '2efdd82ec6c84e9390f304b5c3240081', 'f3f87cb385ea4ae291fd6557338e8e0b': '6fe88968317a45f9830cb9177df75c13', 'f9866c5a2be0428abe1c7097993d9b36': '960347c4c3764e96bc15ca2817752563'}for key in source_target_itemId_map.keys(): source_item = source_items_by_id[key] target_itemid = source_target_itemId_map[key] target_item = target.content.get(target_itemid) print(source_item.title + " # " + source_item.type) for relationship in RELATIONSHIP_TYPES: try: source_related_items = source_item.related_items(relationship) for source_related_item in source_related_items: print("\t\t" + source_related_item.title + " # " + source_related_item.type +"\t## " + relationship) #establish same relationship amongst target items print("\t\t" + "establishing relationship in target portal", end=" ") target_related_itemid = source_target_itemId_map[source_related_item.itemid] target_related_item = target.content.get(target_related_itemid) status = target_item.add_relationship(target_related_item, relationship) print(str(status)) except Exception as rel_ex: print("\t\t Error when checking for " + relationship + " : " + str(rel_ex)) continueNC # Feature Service NC # CSV ## Service2Data establishing relationship in target portal True AR # Feature Service AR # CSV ## Service2Data establishing relationship in target portal True set2_catalina-points # KML FL # Feature Service FL # CSV ## Service2Data establishing relationship in target portal True KS # Feature Service KS # CSV ## Service2Data establishing relationship in target portal True set1_GeoJson # PDF set2_australia # GeoJson Smith Collins response locations # Web Map AZ # Feature Service AZ # CSV ## Service2Data establishing relationship in target portal True NV # Feature Service NV # CSV ## Service2Data establishing relationship in target portal True FL # CSV set3_Streets # Map Document set2_counties # Locator Package ID # Feature Service ID # CSV ## Service2Data establishing relationship in target portal True Wilson Morgan response locations # Web Map set1_Chicago # CSV set2_USAcities # File Geodatabase Jones Morris response locations # Web Map set2_Chicago # CSV Miller Cook response locations # Web Map ID # CSV set1_fortune500 # File Geodatabase set1_gov_sites_registration # Microsoft Excel NV # CSV set1_india # GeoJson Johnson Stewart response locations # Web Map set2_SD_crime # Map Document IN # Feature Service IN # CSV ## Service2Data establishing relationship in target portal True set1_GeoJson # Microsoft Word LA # Feature Service LA # CSV ## Service2Data establishing relationship in target portal True Moore Bell response locations # Web Map set2_empty # Map Document set1_major_cities # Locator Package NH # CSV AZ # CSV AR # CSV IN # CSV Brown Rogers response locations # Web Map Davis Reed response locations # Web Map Smith Collins response locations # Web Map NC # CSV set1_mapping_tech # Microsoft Powerpoint USA_cities_Fortune_500 # Map Document Taylor Murphy response locations # Web Map set2_Voronoi-diagram # Microsoft Word Williams Sanchez response locations # Web Map LA # CSV NH # Feature Service NH # CSV ## Service2Data establishing relationship in target portal True
Conclusion
Thus, with this notebook, we have successfully cloned groups, users and their contents. Note, this notebook did not copy over the services that power the service based items. Such items continue to point to the same URL as the ones in source portal did. As long as those URLs remain accessible, the web maps and layer items continue to be usable.
To run this notebook as a Python script, check out the ArcGIS API for Python Public Repo scripts.