Update yaml to include metadata, readme with new directions an

d pseudocode for s3 and SES work

.github/workflows/daily-csv-upload.yaml

@@ -31,3 +31,12 @@ jobs:
           cf_space: ${{ secrets.CF_REPORT_ENV }}
           cf_command: "run-task getgov-${{ secrets.CF_REPORT_ENV }} --command 'python manage.py generate_current_full_report' --name full"
 
+      - name: Generate current-metadata.csv
+        uses: cloud-gov/cg-cli-tools@main
+        with:
+          cf_username: ${{ secrets[env.CF_USERNAME] }}
+          cf_password: ${{ secrets[env.CF_PASSWORD] }}
+          cf_org: cisa-dotgov
+          cf_space: ${{ secrets.CF_REPORT_ENV }}
+          cf_command: "run-task getgov-${{ secrets.CF_REPORT_ENV }} --command 'python manage.py generate_current_metadata_report' --name metadata"
+

docs/developer/README.md

@@ -330,11 +330,12 @@ To associate a S3 instance to your sandbox, follow these steps:
 3. Click `Services` on the application nav bar
 4. Add a new service (plus symbol)
 5. Click `Marketplace Service`
-6. On the `Select the service` dropdown, select `s3`
+6. For Space, put in your sandbox initials 
-7. Under the dropdown on `Select Plan`, select `basic-sandbox`
+7. On the `Select the service` dropdown, select `s3`
-8. Under `Service Instance` enter `getgov-s3` for the name
+8. Under the dropdown on `Select Plan`, select `basic-sandbox`
+9. Under `Service Instance` enter `getgov-s3` for the name and leave the other fields empty
 
-See this [resource](https://cloud.gov/docs/services/s3/) for information on associating an S3 instance with your sandbox through the CLI. 
+See this [resource](https://cloud.gov/docs/services/s3/) for information on associating an S3 instance with your sandbox through the CLI. The basic commands should be `cf bind-service getgov-<your-initials> <getgov-s3>` and `cf restage getgov-<your-initials>`.
 
 ### Testing your S3 instance locally
 To test the S3 bucket associated with your sandbox, you will need to add four additional variables to your `.env` file. These are as follows:

src/registrar/management/commands/generate_current_metadata_report.py

@@ -0,0 +1,67 @@
+"""Generates current-metadata.csv then uploads to S3 + sends email"""
+
+import logging
+import os
+
+from django.core.management import BaseCommand
+from registrar.utility import csv_export
+from registrar.utility.s3_bucket import S3ClientHelper
+
+
+logger = logging.getLogger(__name__)
+
+class Command(BaseCommand):
+    help = (
+        "Generates and uploads a current-metadata.csv file to our S3 bucket " "which is based off of all existing Domains."
+    )
+
+    def add_arguments(self, parser):
+        """Add our two filename arguments."""
+        parser.add_argument("--directory", default="migrationdata", help="Desired directory")
+        parser.add_argument(
+            "--checkpath",
+            default=True,
+            help="Flag that determines if we do a check for os.path.exists. Used for test cases",
+        )
+    
+    def handle(self, **options):
+        """Grabs the directory then creates current-metadata.csv in that directory"""
+        file_name = "current-metadata.csv"
+        # Ensures a slash is added
+        directory = os.path.join(options.get("directory"), "")
+        check_path = options.get("checkpath")
+
+        logger.info("Generating report...")
+        try:
+            self.generate_current_metadata_report(directory, file_name, check_path)
+        except Exception as err:
+            # TODO - #1317: Notify operations when auto report generation fails
+            raise err
+        else:
+            logger.info(f"Success! Created {file_name}")
+
+    def generate_current_metadata_report(self, directory, file_name, check_path):
+        """Creates a current-full.csv file under the specified directory,
+        then uploads it to a AWS S3 bucket"""
+        s3_client = S3ClientHelper()
+        file_path = os.path.join(directory, file_name)
+
+        # Generate a file locally for upload
+        with open(file_path, "w") as file:
+            csv_export.export_data_type_to_csv(file)
+
+        if check_path and not os.path.exists(file_path):
+            raise FileNotFoundError(f"Could not find newly created file at '{file_path}'")
+
+        # Upload this generated file for our S3 instance
+        s3_client.upload_file(file_path, file_name)
+        """
+        We want to make sure to upload to s3 for back up
+        And now we also want to get the file and encrypt it so we can send it in an email
+        """
+        # metadata_file = s3_client.get_file(file_name)
+        # metadata_file.encryptthisthingherewithpyzipper
+        # email.blasend_email(metadata_file)
+
+    
+        

src/registrar/utility/email.py

@@ -41,6 +41,7 @@ def send_templated_email(template_name: str, subject_template_name: str, to_addr
         raise EmailSendingError("Could not access the SES client.") from exc
 
     try:
+        #if not attachment: 
         ses_client.send_email(
             FromEmailAddress=settings.DEFAULT_FROM_EMAIL,
             Destination={"ToAddresses": [to_address]},
@@ -51,5 +52,8 @@ def send_templated_email(template_name: str, subject_template_name: str, to_addr
                 },
             },
         )
+        # else: # has attachment
+            # same as above but figure out how to attach a file
+            # via boto3 "boto3 SES file attachment"
     except Exception as exc:
         raise EmailSendingError("Could not send SES email.") from exc