42 KiB
Registrar Data Migration
The original system uses an existing registrar/registry that we will import. The company of that system will provide us with an export of the existing data. The goal of our data migration is to take the provided data and use it to create, as close as possible, a matching state in our registrar.
There is no way to make our registrar identical to the original system because we have a different data model and workflow model. Instead, we should focus our migration efforts on creating a state in our new registrar that will primarily allow users of the system to perform the tasks that they want to do.
Users
One of the major differences with the existing registrar/registry is that our system uses Login.gov for authentication. Any person with an identity-verified Login.gov account can make an account on the new registrar. The first time a person logs into the registrar through Login.gov, we make a corresponding account in our user table. Because we cannot know the Universal Unique ID (UUID) for a person's Login.gov account, we cannot pre-create user accounts for individuals in our new registrar based on the original data.
Domains
Our registrar keeps track of domains. The authoritative source for domain
information is the registry, but the registrar needs a copy of that
information to make connections between registry users and the domains that
they manage. The registrar stores very few fields about a domain except for
its name, so it could be straightforward to import the exported list of domains
from escrow_domains.daily.dotgov.GOV.txt. It doesn't appear that
that table stores a flag for if a domain is active or inactive.
An example Django management command that can load the delimited text file
from the daily escrow is in
src/registrar/management/commands/load_domains_data.py. It uses Django's
object-relational modeler (ORM) to create Django objects for the domains and
then write them to the database in a single bulk operation. To run the command
locally for testing, using Docker Compose:
docker compose run -T app ./manage.py load_domains_data < /tmp/escrow_domains.daily.dotgov.GOV.txt
User access to domains
The data export contains a escrow_domain_contacts.daily.dotgov.txt file
that links each domain to three different types of contacts: billing,
tech, and admin. The ID of the contact in this linking table corresponds
to the ID of a contact in the escrow_contacts.daily.dotgov.txt file. The
contacts file contains an email address for each contact.
The new registrar associates user accounts (authenticated with Login.gov) with
domains using a UserDomainRole linking table. New users can be granted roles
on domains by creating a DomainInvitation that links an email address with a
domain. When a new user finishes authenticating with Login.gov and their email
address matches an invitation, then they are given the appropriate role on the
invitation's domain.
For the purposes of migration, we can prime the invitation system by creating
an invitation in the system for each email address listed in the
domain_contacts file. This means that if a person is currently a user in the
original system, and they use the same email address with Login.gov, then they
will end up with access to the same domains in the new registrar that they
were associated with in the original system.
A management command that does this needs to process two data files, one for
the contact information and one for the domain/contact association, so we
can't use stdin the way that we did before. Instead, we can use the fact that
Docker Compose mounts the src/ directory inside of the container at /app.
Then, data files that are inside of the src/ directory can be accessed
inside the Docker container.
An example script using this technique is in
src/registrar/management/commands/load_domain_invitations.py.
docker compose run app ./manage.py load_domain_invitations /app/escrow_domain_contacts.daily.dotgov.GOV.txt /app/escrow_contacts.daily.dotgov.GOV.txt
Set Up Files for Importing Domains
Step 1: Obtain migration data files
We are provided with information about Transition Domains in the following files:
| Filename | Description | |
|---|---|---|
| 1 | escrow_domain_contacts.daily.gov.GOV.txt | Has the map of domain names to contact ID. Domains in this file will usually have 3 contacts each |
| 2 | escrow_contacts.daily.gov.GOV.txt | Has the mapping of contact id to contact email address (which is what we care about for sending domain invitations) |
| 3 | escrow_domain_statuses.daily.gov.GOV.txt | Has the map of domains and their statuses |
| 4 | escrow_domains.daily.dotgov.GOV.txt | Has a map of domainname, expiration and creation dates |
| 5 | domainadditionaldatalink.adhoc.dotgov.txt | Has the map of domains to other data like authority, organization, & domain type |
| 6 | domaintypes.adhoc.dotgov.txt | Has data on federal type and organization type |
| 7 | organization.adhoc.dotgov.txt | Has organization name data |
| 8 | authority.adhoc.dotgov.txt | Has authority data which maps to an agency |
| 9 | agency.adhoc.dotgov.txt | Has federal agency data |
| 10 | migrationFilepaths.json | A JSON which points towards all given filenames. Specified below. |
Step 2: Obtain JSON file for migration files locations
Add a JSON file called "migrationFilepaths.json" with the following contents (update filenames and directory as needed):
{
"directory": "migrationdata",
"contacts_filename": "escrow_contacts.daily.dotgov.GOV.txt",
"domain_contacts_filename": "escrow_domain_contacts.daily.dotgov.GOV.txt",
"domain_statuses_filename": "escrow_domain_statuses.daily.dotgov.GOV.txt",
"domain_escrow_filename": "escrow_domains.daily.dotgov.GOV.txt",
"domain_additional_filename": "domainadditionaldatalink.adhoc.dotgov.txt",
"domain_adhoc_filename": "domaintypes.adhoc.dotgov.txt",
"organization_adhoc_filename": "organization.adhoc.dotgov.txt"
"authority_adhoc_filename": "authority.adhoc.dotgov.txt",
"agency_adhoc_filename": "agency.adhoc.dotgov.txt",
}
This JSON file can exist anywhere, but to keep things simple, add it to the same folder as used in step 1. src/migrationdata.
Directory specifies the directory that the given filenames exist in. For instance, a contacts_filename of test.txt with a directory of migrationdata would need to exist under migrationdata/test.txt.
Later on, we will bundle this file along with the others into its own folder. Keep it within the migrationdata/ directory if you are passing data to your sandbox, for simplicity.
We need to run a few scripts to parse these files into our domain tables. We can do this both locally and in a sandbox.
Step 3: Bundle all relevant data files into an archive
Move all the files specified in Step 1 into a shared folder, and create a tar.gz.
Create a folder on your desktop called datafiles and move all of the obtained files into that. Add these files to a tar.gz archive using any method. See here.
After this is created, move this archive into src/migrationdata.
Set Up Migrations on Sandbox
Load migration data onto a production or sandbox environment
WARNING: All files uploaded in this manner are temporary, i.e. they will be deleted when the app is restaged. Do not use these environments to store data you want to keep around permanently. We don't want sensitive data to be accidentally present in our application environments.
Step 1: Transfer data to sandboxes
Use the following cat command to upload your data to a sandbox environment of your choice:
cat {LOCAL_PATH_TO_FILE} | cf ssh {APP_NAME_IN_ENVIRONMENT} -c "cat > /home/vcap/tmp/{DESIRED_NAME_OF_FILE}"
- APP_NAME_IN_ENVIRONMENT - Name of the app running in your environment, e.g. getgov-za or getgov-stable
- LOCAL_PATH_TO_FILE - Path to the file you want to copy, ex: src/tmp/escrow_contacts.daily.gov.GOV.txt
- DESIRED_NAME_OF_FILE - Use this to specify the filename and type, ex: test.txt or escrow_contacts.daily.gov.GOV.txt
TROUBLESHOOTING STEP 1 ISSUES
Depending on your operating system (Windows for instance), this command may upload corrupt data. If you encounter the error gzip: prfiles.tar.gz: not in gzip format when trying to unzip a .tar.gz file, use the scp command instead.
IMPORTANT: Only follow the below troubleshooting steps if cat does not work as expected. If it does, skip to step 2.
Troubleshooting cat instructions
Use scp to transfer data to sandboxes.
CloudFoundry supports scp as means of transferring data locally to our environment. If you are dealing with a batch of files, try sending across a tar.gz and unpacking that.
Login to Cloud.gov
cf login -a api.fr.cloud.gov --sso
Target your workspace
cf target -o cisa-dotgov -s {ENVIRONMENT_NAME}
ENVIRONMENT_NAME - Name of your sandbox, ex: za or ab
Run the scp command
Use the following command to transfer the desired file:
scp -P 2222 -o User=cf:$(cf curl /v3/apps/$(cf app {APP_NAME_IN_ENVIRONMENT} --guid)/processes | jq -r '.resources[]
| select(.type=="web") | .guid')/0 {LOCAL_PATH_TO_FILE} ssh.fr.cloud.gov:tmp/{DESIRED_NAME_OF_FILE}
The items in curly braces are the values that you will manually replace. These are as follows:
- APP_NAME_IN_ENVIRONMENT - Name of the app running in your environment, e.g. getgov-za or getgov-stable
- LOCAL_PATH_TO_FILE - Path to the file you want to copy, ex: src/tmp/escrow_contacts.daily.gov.GOV.txt
- DESIRED_NAME_OF_FILE - Use this to specify the filename and type, ex: test.txt or escrow_contacts.daily.gov.GOV.txt
Get a temp auth code
The scp command requires a temporary authentication code. Open a new terminal instance (while keeping the current one open), and enter the following command:
cf ssh-code
Copy this code into the password prompt from earlier.
NOTE: You can use different utilities to copy this onto the clipboard for you. If you are on Windows, try the command cf ssh-code | clip. On Mac, this will be cf ssh-code | pbcopy
Step 2: Transfer uploaded files to the getgov directory
Due to the nature of how Cloud.gov operates, the getgov directory is dynamically generated whenever the app is built under the tmp/ folder. We can directly upload files to the tmp/ folder but cannot target the generated getgov folder directly, as we need to spin up a shell to access this. From here, we can move those uploaded files into the getgov directory using the cat command. Note that you will have to repeat this for each file you want to move, so it is better to use a tar.gz for multiple, and unpack it inside of the datamigration folder.
SSH into your sandbox
cf ssh {APP_NAME_IN_ENVIRONMENT}
Open a shell
/tmp/lifecycle/shell
From this directory, run the following command:
./manage.py cat_files_into_getgov --file_extension {FILE_EXTENSION_TYPE}
This will look for all files in /tmp with that are the same file type as FILE_EXTENSION_TYPE.
Example 1: Transferring txt files
./manage.py cat_files_into_getgov --file_extension txt will search for
all files with the .txt extension.
Example 2: Transferring tar.gz files
./manage.py cat_files_into_getgov --file_extension tar.gz will search
for .tar.gz files.
If you are using a tar.gz file, you will need to perform one additional step to extract it. Run the following command from the same directory:
tar -xvf migrationdata/{FILE_NAME}.tar.gz -C migrationdata/ --strip-components=1
FILE_NAME - Name of the desired file, ex: exportdata
Manually transferring your files
If the cat_files_into_getgov.py script isn't working, follow these steps instead.
Move the desired file into the correct directory
cat ../tmp/{filename} > migrationdata/{filename}
You are now ready to run migration scripts (see Running the Domain Migration Scripts)
Set Up Local Migrations (TESTING PURPOSES ONLY)
IMPORTANT: only use test data, to avoid publicizing PII in our public repo.
In order to run the scripts locally, we need to add the files to a folder under src/.
This will allow Docker to mount the files to a container (under /app) for our use.
- Add the same files from section 1 to a TEMPORARY
tmp/folder undersrc/(do not check this folder into our repo) - Open a terminal and navigate to
src/
You are now ready to run migration scripts.
Running the Domain Migration Scripts
While keeping the same ssh instance open (if you are running on a sandbox), run through the following commands. If you cannot run manage.py commands, try running /tmp/lifecycle/shell in the ssh instance.
Step 1: Upload Transition Domains
Run the following command, making sure the file paths point to the right location of your migration files. This will parse all given files and load the information into the TransitionDomain table. Make sure you have your migrationFilepaths.json file in the same directory.
LOCAL COMMAND
docker-compose exec app ./manage.py load_transition_domain migrationFilepaths.json --directory /app/tmp/ --debug --limitParse 10
SANDBOX COMMAND
./manage.py load_transition_domain migrationFilepaths.json --debug
COMMAND LINE ARGUMENTS:
--debug
This will print out additional, detailed logs.
--limitParse 100
Directs the script to load only the first 100 entries into the table. You can adjust this number as needed for testing purposes.
Note: --limitParse is currently experiencing issues and may not work as intended.
--resetTable
This will delete all the data in transtion_domain. It is helpful if you want to see the entries reload from scratch or for clearing test data.
(arguments that override filepaths and directories if needed)
--directory
Defines the directory where all data files and the JSON are stored.
--domain_contacts_filename
Defines the filename for domain contact information.
--contacts_filename
Defines the filename for contact information.
--domain_statuses_filename
Defines the filename for domain status information.
--agency_adhoc_filename
Defines the filename for agency adhocs.
--domain_additional_filename
Defines the filename for additional domain data.
--domain_escrow_filename
Defines the filename for creation/expiration domain data.
--domain_adhoc_filename
Defines the filename for domain type adhocs.
--organization_adhoc_filename
Defines the filename for domain type adhocs.
--authority_adhoc_filename
Defines the filename for domain type adhocs.
--infer_filenames
Determines if we should infer filenames or not. This setting is not available for use in environments with the flag settings.DEBUG set to false, as it is intended for local development only.
Step 2: Transfer Transition Domain data into main Domain tables
Now that we've loaded all the data into TransitionDomain, we need to update the main Domain and DomainInvitation tables with this information.
In the same terminal as used in STEP 1, run the command below;
(This will parse the data in TransitionDomain and either create a corresponding Domain object, OR, if a corresponding Domain already exists, it will update that Domain with the incoming status. It will also create DomainInvitation objects for each user associated with the domain):
LOCAL COMMAND
docker compose run -T app ./manage.py transfer_transition_domains_to_domains --debug
SANDBOX COMMAND
./manage.py transfer_transition_domains_to_domains --debug
COMMAND LINE ARGUMENTS:
--debug
This will print out additional, detailed logs.
--limitParse 100
Directs the script to load only the first 100 entries into the table. You can adjust this number as needed for testing purposes.
Note: --limitParse is currently experiencing issues and may not work as intended.
Step 3: Send Domain invitations
To send invitation emails for every transition domain in the transition domain table, execute the following command:
LOCAL COMMAND
docker compose run -T app ./manage.py send_domain_invitations -s
SANDBOX COMMAND
./manage.py send_domain_invitations -s
Step 4: Test the results (Run the analyzer script)
This script's main function is to scan the transition domain and domain tables for any anomalies. It produces a simple report of missing or duplicate data. NOTE: some missing data might be expected depending on the nature of our migrations so use best judgement when evaluating the results.
OPTION 1 - Analyze Only
To analyze our database without running migrations, execute the script without any optional arguments:
LOCAL COMMAND
docker compose run -T app ./manage.py master_domain_migrations --debug
SANDBOX COMMAND
./manage.py master_domain_migrations --debug
OPTION 2 - Run Migrations Feature
To run the migrations again (all above migration steps) before analyzing, execute the following command (read the documentation on the terminal arguments below. Everything used by the migration scripts can also be passed into this script and will have the same effects). NOTE: --debug provides detailed logging statements during the migration. It is recommended that you use this argument when using the --runMigrations feature:
(NOTE: If you named your JSON file something other than "migrationFilepaths.json" (all the way back in the "file setup" section). You will want to utilize the --migrationJSON argument in the following commands...)
LOCAL COMMAND
docker compose run -T app ./manage.py master_domain_migrations --migrationDirectory /app/tmp --runMigrations --debug
SANDBOX COMMAND
./manage.py master_domain_migrations --runMigrations --debug
COMMAND LINE ARGUMENTS
--runMigrations
Runs all scripts (in sequence) for transition domain migrations
--migrationDirectory
The location of both the JSON file and all files needed for migration. (default is "migrationdata" (This is the sandbox directory))
Example Usage: --migrationDirectory /app/tmp
--migrationJSON
The filename of the JSON that holds all the filepath info needed for migrations.
Example Usage: --migrationJSON migrationFilepaths.json
--sep
Delimiter for the migration scripts to correctly parse the given text files. (usually this can remain at default value of |)
--debug
Activates additional print statements
--disablePrompts
Disables the terminal prompts that allows the user to step through each portion of this script. used to facilitate unit tests. Not recommended for everyday use
--limitParse
Used by the migration scripts (load_transition_domain) to set the limit for the
number of data entries to insert. Set to 0 (or just don't use this
argument) to parse every entry. This was provided primarily for testing
purposes.
Note: --limitParse is currently experiencing issues and may not work as intended.
--resetTable
Used by the migration scripts to trigger a prompt for deleting all table entries.
Useful for testing purposes, but use with caution
Import organization data
During MVP, our import scripts did not populate the following fields: address_line, city, state_territory, and zipcode for organization address in Domain Information. This was primarily due to time constraints. Because of this, we need to run a follow-on script to load this remaining data on each DomainInformation object.
This script is intended to run under the assumption that the load_transition_domain and the transfer_transition_domains_to_domains scripts have already been ran.
LOCAL COMMAND
to run this command locally, enter the following:
docker compose run -T app ./manage.py load_organization_data {filename_of_migration_json} --debug
- filename_of_migration_filepath_json - This is a JSON containing a list of filenames. This same file was used in the preceeding steps,
load_transition_domainandtransfer_transition_domains_to_domains, however, this script only needs two fields:
{
"domain_additional_filename": "example.domainadditionaldatalink.adhoc.dotgov.txt",
"organization_adhoc_filename": "example.organization.adhoc.dotgov.txt"
}
If you already possess the old JSON, you do not need to modify it. This script can run even if you specify multiple filepaths. It will just skip over unused ones.
Example
docker compose run -T app ./manage.py load_organization_data migrationFilepaths.json --debug
SANDBOX COMMAND
./manage.py load_organization_data {filename_of_migration_json} --debug
- filename_of_migration_filepath_json - This is a JSON containing a list of filenames. This same file was used in the preceeding steps,
load_transition_domainandtransfer_transition_domains_to_domains, however, this script only needs two fields:
{
"domain_additional_filename": "example.domainadditionaldatalink.adhoc.dotgov.txt",
"organization_adhoc_filename": "example.organization.adhoc.dotgov.txt"
}
If you already possess the old JSON, you do not need to modify it. This script can run even if you specify multiple filepaths. It will just skip over unused ones.
Example
./manage.py load_organization_data migrationFilepaths.json --debug
Optional parameters
The load_organization_data script has five optional parameters. These are as follows:
| Parameter | Description | |
|---|---|---|
| 1 | sep | Determines the file separator. Defaults to "|" |
| 2 | debug | Increases logging detail. Defaults to False |
| 3 | directory | Specifies the directory containing the files that will be parsed. Defaults to "migrationdata" |
| 4 | domain_additional_filename | Specifies the filename of domain_additional. Used as an override for the JSON. Has no default. |
| 5 | organization_adhoc_filename | Specifies the filename of organization_adhoc. Used as an override for the JSON. Has no default. |
Extend Domain Extension Dates
This section outlines how to extend the expiration date of all ready domains (or a select subset) by a defined period of time.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Extend domains
./manage.py extend_expiration_dates
Running locally
docker-compose exec app ./manage.py extend_expiration_dates
Optional parameters
| Parameter | Description | |
|---|---|---|
| 1 | extensionAmount | Determines the period of time to extend by, in years. Defaults to 1 year. |
| 2 | debug | Increases logging detail. Defaults to False. |
| 3 | limitParse | Determines how many domains to parse. Defaults to all. |
| 4 | disableIdempotentCheck | Boolean that determines if we should check for idempotence or not. Compares the proposed extension date to the value in TransitionDomains. Defaults to False. |
Populate First Ready
This section outlines how to run the populate_first_ready script
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
./manage.py populate_first_ready --debug
Running locally
docker-compose exec app ./manage.py populate_first_ready --debug
Optional parameters
| Parameter | Description | |
|---|---|---|
| 1 | debug | Increases logging detail. Defaults to False. |
Patch Federal Agency Info
This section outlines how to use patch_federal_agency_info.py
Running on sandboxes
Step 1: Grab the latest current-full.csv file from the dotgov-data repo
Download the csv from here and place this file under the src/migrationdata/ directory.
Step 2: Transfer the current-full.csv file to your sandbox
Click here to go to the section about transferring data to sandboxes
Step 3: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 4: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 5: Create a shell instance
/tmp/lifecycle/shell
Step 6: Patch agency info
./manage.py patch_federal_agency_info migrationdata/current-full.csv --debug
Running locally
docker-compose exec app ./manage.py patch_federal_agency_info migrationdata/current-full.csv --debug
Optional parameters
| Parameter | Description | |
|---|---|---|
| 1 | debug | Increases logging detail. Defaults to False. |
Populate Organization type
This section outlines how to run the populate_organization_type script.
The script is used to update the organization_type field on DomainRequest and DomainInformation when it is None.
That data are synthesized from the generic_org_type field and the is_election_board field by concatenating " - Elections" on the end of generic_org_type string if is_elections_board is True.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: Get the domain_election_board file
The latest domain_election_board csv can be found here.
After downloading this file, place it in src/migrationdata
Step 3: Upload the domain_election_board file to your sandbox
Follow Step 1: Transfer data to sandboxes and Step 2: Transfer uploaded files to the getgov directory from the Set Up Migrations on Sandbox portion of this doc.
Step 4: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 5: Create a shell instance
/tmp/lifecycle/shell
Step 6: Running the script
./manage.py populate_organization_type {domain_election_board_filename}
- The domain_election_board_filename file must adhere to this format:
- example.gov
example2.gov
example3.gov
- example.gov
Example:
./manage.py populate_organization_type migrationdata/election-domains.csv
Running locally
Step 1: Get the domain_election_board file
The latest domain_election_board csv can be found here.
After downloading this file, place it in src/migrationdata
Step 2: Running the script
docker-compose exec app ./manage.py populate_organization_type {domain_election_board_filename}
Example (assuming that this is being ran from src/):
docker-compose exec app ./manage.py populate_organization_type migrationdata/election-domains.csv
Required parameters
| Parameter | Description | |
|---|---|---|
| 1 | domain_election_board_filename | A file containing every domain that is an election office. |
Populate Verification Type
This section outlines how to run the populate_verification_type script.
The script is used to update the verification_type field on User when it is None.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
./manage.py populate_verification_type
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py populate_verification_type
Copy names from contacts to users
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
./manage.py copy_names_from_contacts_to_users --debug
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py copy_names_from_contacts_to_users --debug
Optional parameters
| Parameter | Description | |
|---|---|---|
| 1 | debug | Increases logging detail. Defaults to False. |
Transfer federal agency script
The transfer federal agency script adds the "federal_type" field on each associated DomainRequest, and uses that to populate the "federal_type" field on each FederalAgency.
Important: When running this script, note that data generated by our fixtures will be inaccurate (since we assign random data to them). Use real data on this script. Do note that there is a check on record uniqueness. If two or more records do NOT have the same value for federal_type for any given federal agency, then the record is skipped. This protects against fixtures data when loaded with real data.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
./manage.py transfer_federal_agency_type
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py transfer_federal_agency_type
Email current metadata report
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
./manage.py email_current_metadata_report --emailTo {desired email address}
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py email_current_metadata_report --emailTo {desired email address}
Parameters
| Parameter | Description | |
|---|---|---|
| 1 | emailTo | Specifies where the email will be emailed. Defaults to help@get.gov on production. |
Populate federal agency initials and FCEB
This script adds to the "is_fceb" and "acronym" fields on the FederalAgency model. This script expects a CSV of federal CIOs to pull from, which can be sourced from here.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Upload your csv to the desired sandbox
Follow these steps to upload the federal_cio csv to a sandbox of your choice.
Step 5: Running the script
./manage.py populate_federal_agency_initials_and_fceb {path_to_CIO_csv}
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py populate_federal_agency_initials_and_fceb {path_to_CIO_csv}
Parameters
| Parameter | Description | |
|---|---|---|
| 1 | federal_cio_csv_path | Specifies where the federal CIO csv is |
Load senior official table
This script adds SeniorOfficial records to the related table based off of a CSV. This script expects a CSV of federal CIOs to pull from, which can be sourced from here.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Upload your csv to the desired sandbox
Follow these steps to upload the federal_cio csv to a sandbox of your choice.
Step 5: Running the script
./manage.py load_senior_official_table {path_to_CIO_csv}
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py load_senior_official_table {path_to_CIO_csv}
Parameters
| Parameter | Description | |
|---|---|---|
| 1 | federal_cio_csv_path | Specifies where the federal CIO csv is |
Update First Ready Values
This section outlines how to run the populate_first_ready script
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
./manage.py update_first_ready
Running locally
docker-compose exec app ./manage.py update_first_ready
Populate Domain Request Dates
This section outlines how to run the populate_domain_request_dates script
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
./manage.py populate_domain_request_dates
Running locally
docker-compose exec app ./manage.py populate_domain_request_dates
Create federal portfolio
This script takes the name of a FederalAgency (like 'AMTRAK') and does the following:
- Creates the portfolio record based off of data on the federal agency object itself.
- Creates suborganizations from existing DomainInformation records.
- Associates the SeniorOfficial record (if it exists).
- Adds this portfolio to DomainInformation / DomainRequests or both.
Errors:
- ValueError: Federal agency not found in database.
- Logged Warning: No senior official found for portfolio
- Logged Error: No suborganizations found for portfolio.
- Logged Warning: No new suborganizations to add.
- Logged Warning: No valid DomainRequest records to update.
- Logged Warning: No valid DomainInformation records to update.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Upload your csv to the desired sandbox
Follow these steps to upload the federal_cio csv to a sandbox of your choice.
Step 5: Running the script
To create a specific portfolio:
./manage.py create_federal_portfolio --agency_name "{federal_agency_name}" --parse_domains --parse_requests --parse_managers
Example (only requests): ./manage.py create_federal_portfolio "AMTRAK" --parse_requests
To create a portfolios for all federal agencies in a branch:
./manage.py create_federal_portfolio --branch "{executive|legislative|judicial}" --parse_domains --parse_requests --parse_managers
Example (only requests): ./manage.py create_federal_portfolio --branch "executive" --parse_requests
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py create_federal_portfolio --agency_name "{federal_agency_name}" --parse_domains
Parameters
| Parameter | Description | |
|---|---|---|
| 1 | agency_name | Name of the FederalAgency record surrounded by quotes. For instance,"AMTRAK". |
| 2 | branch | Creates a portfolio for each federal agency in a branch: executive, legislative, judicial |
| 3 | parse_requests | If True, then the created portfolio is added to all related DomainRequests. |
| 4 | parse_domains | If True, then the created portfolio is added to all related Domains. |
| 5 | parse_members | If True, then the created portfolio will add all managers of the portfolio domains as members of the portfolio, including invited managers. |
| 6 | skip_existing_portfolios | If True, then the script will only create suborganizations, modify DomainRequest, and modify DomainInformation records only when creating a new portfolio. Use this flag when you do not want to modify existing records. |
| 7 | Debug | Increases log verbosity |
- Parameters #1-#2: Either
--agency_nameor--branchmust be specified. Not both. - Parameters #3-#5, while all of these parameters are optional in that you do not need to specify all of them, you must specify at least one to run this script. You can also chain all of them together.
Patch suborganizations
This script deletes some duplicate suborganization data that exists in our database (one-time use). It works in two ways:
- If the only name difference between two suborg records is extra spaces or a capitalization difference, then we delete all duplicate records of this type.
- If the suborg name is one we manually specify to delete via the script.
Before it deletes records, it goes through each DomainInformation and DomainRequest object and updates the reference to "sub_organization" to match the non-duplicative record.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-za
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Upload your csv to the desired sandbox
Follow these steps to upload the federal_cio csv to a sandbox of your choice.
Step 5: Running the script
To create a specific portfolio:
./manage.py patch_suborganizations
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py patch_suborganizations
Remove Non-whitelisted Portfolios
This script removes Portfolio entries from the database that are not part of a predefined list of allowed portfolios (ALLOWED_PORTFOLIOS).
It performs the following actions:
- Prompts the user for confirmation before proceeding with deletions.
- Updates related objects such as
DomainInformation,Domain, andDomainRequestto set theirportfoliofield toNoneto prevent integrity errors. - Deletes associated objects such as
PortfolioInvitation,UserPortfolioPermission, andSuborganization. - Logs a detailed summary of all cascading deletions and orphaned objects.
Running on sandboxes
Step 1: Login to CloudFoundry
cf login -a api.fr.cloud.gov --sso
Step 2: SSH into your environment
cf ssh getgov-{space}
Example: cf ssh getgov-nl
Step 3: Create a shell instance
/tmp/lifecycle/shell
Step 4: Running the script
To remove portfolios:
./manage.py remove_unused_portfolios
If you wish to enable debug mode for additional logging:
./manage.py remove_unused_portfolios --debug
Running locally
Step 1: Running the script
docker-compose exec app ./manage.py remove_unused_portfolios
To enable debug mode locally:
docker-compose exec app ./manage.py remove_unused_portfolios --debug