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-rw-r--r--src/extract_lambda.py156
-rw-r--r--src/load_lambda.py2
-rw-r--r--src/secrets_manager.py48
-rw-r--r--src/transform_lambda.py2
4 files changed, 208 insertions, 0 deletions
diff --git a/src/extract_lambda.py b/src/extract_lambda.py
new file mode 100644
index 0000000..fb2d7e8
--- /dev/null
+++ b/src/extract_lambda.py
@@ -0,0 +1,156 @@
+from pg8000.native import Connection, DatabaseError, InterfaceError
+from dotenv import dotenv_values
+import boto3
+import csv
+from botocore.exceptions import ClientError
+import logging
+import json
+from datetime import datetime
+import re
+
+
+logger = logging.getLogger()
+logger.setLevel(logging.INFO)
+
+
+class DBConnectionException(Exception):
+ """Wraps pg8000.native Error or DatabaseError."""
+
+ def __init__(self, e):
+ """Initialise with provided error message."""
+ self.message = str(e)
+ super().__init__(self.message)
+
+def lambda_handler(event, context):
+ """This lambda function connects to the Totesys database, lists the contents of the ingestion bucket,
+ and converts all tables to CSV and if any of those tables do not exist in, or are different to the ones in s3, it uploads them
+ it uses 3 helper functions to achieve these 3 functionalities
+ """
+ try:
+ db = connect_to_database()
+ existing_files = list_existing_s3_files()
+ any_changes = process_and_upload_tables(db, existing_files)
+
+ if not any_changes:
+ logger.info("No changes detected in the database.")
+ return {
+ 'statusCode': 200,
+ 'body': json.dumps('No changes detected, no CSV files were uploaded.')
+ }
+ else:
+ return {
+ 'statusCode': 200,
+ 'body': json.dumps('CSV files processed and uploaded successfully.')
+ }
+
+ except Exception as e:
+ logger.error(f'Error: {e}')
+ return {
+ 'statusCode': 500,
+ 'body': json.dumps('Internal server error.')
+ }
+
+ finally:
+
+ if db:
+ db.close()
+
+def get_config(path: str = ".env") -> dict:
+ return dotenv_values(path)
+
+
+def connect_to_database() -> Connection:
+ try:
+ config = get_config()
+ host = config["host"]
+ port = config["port"]
+ user = config["user"]
+ password = config["password"]
+ database = config["database"]
+
+ return Connection(
+ database=database,
+ user=user,
+ password=password,
+ host=host,
+ port=port
+ )
+ except InterfaceError as i:
+ logger.error(f'Interface error: {i}')
+ raise DBConnectionException("Failed to connect to database")
+
+
+
+def list_existing_s3_files(bucket_name='extract_bucket', client=boto3.client('s3')):
+ """Creates a dictionary and populates it with the
+ results of listing the contents of the s3 bucket, then
+ returns the populated dictionary
+ """
+
+ existing_files = {}
+
+ try:
+ response = client.list_objects_v2(Bucket='extract_bucket')
+
+ if 'Contents' in response:
+ for obj in response['Contents']:
+ s3_key = obj['Key']
+ try:
+ file_obj = client.get_object(Bucket=bucket_name, Key=s3_key)
+ file_content = file_obj['Body'].read().decode('utf-8')
+ existing_files[s3_key] = file_content
+ except ClientError as e:
+ logger.error(f'Error retrieving S3 object {s3_key}: {e}')
+ else:
+ logger.error('The bucket is empty')
+
+ except ClientError as e:
+ logger.error(f'Error listing S3 objects: {e}')
+
+ return existing_files
+
+
+
+def process_and_upload_tables(db, existing_files, client=boto3.client('s3')):
+ """Creates a list of the tables from a database query and
+ then selects everything from each table in individual queries
+ it then writes each table to CSV files and compares with the item
+ in the existing_files dictionary with the same name. If it finds any changes
+ to files, or new tables/files it uploads them to the s3 bucket
+ """
+ ## NEW CODE
+ all_datetimes = []
+ for file_names in existing_files.keys():
+ datetime_str_on_s3 = ''.join(re.search(r'\/(.+/).+_(.+)\.csv',file_names).group(1,2))
+ all_datetimes.append(datetime.strptime(datetime_str_on_s3, '%Y/%m/%d/%H:%M:%S'))
+ latest_timestamp = max(all_datetimes)
+ ## END OF NEW CODE
+
+ tables = db.run("SELECT table_name FROM information_schema.tables WHERE table_schema='public' AND table_type='BASE TABLE';")
+ print(tables)
+ for table in tables:
+ table_name = table[0]
+ rows = db.run(f"SELECT * FROM {table_name};")
+
+
+ csv_file_path = f"/tmp/{table_name}.csv"
+ with open(csv_file_path, "w", newline='') as file:
+ writer = csv.writer(file)
+ #column_names = [desc["name"] for desc in db.columns(f"SELECT * FROM {table_name};")]
+ column_names = [col_name[0] for col_name in db.run(f"SELECT column_name FROM INFORMATION_SCHEMA.COLUMNS where table_name = '{table_name}';")]
+ writer.writerow(column_names)
+ writer.writerows(rows)
+ s3_key = datetime.strftime(datetime.today(),f'{table_name}/%Y/%m/%d/{table_name}_%H:%M:%S.csv')
+ new_csv_content = open(csv_file_path, "r").read()
+ ## NEW CODE
+ latest_s3_object_key = datetime.strftime(latest_timestamp,f'{table_name}/%Y/%m/%d/{table_name}_%H:%M:%S.csv')
+ ## END OF NEW CODE
+ if existing_files[latest_s3_object_key] != new_csv_content:
+ try:
+ client.upload_file(csv_file_path, 'extract_bucket', s3_key)
+ logger.info(f"Uploaded {s3_key} to S3.")
+ except ClientError as e:
+ logger.error(f'Error uploading to S3: {e}')
+ else:
+ logger.info(f"No new data.")
+ \ No newline at end of file
diff --git a/src/load_lambda.py b/src/load_lambda.py
new file mode 100644
index 0000000..6ee681f
--- /dev/null
+++ b/src/load_lambda.py
@@ -0,0 +1,2 @@
+def lambda_handler():
+ pass \ No newline at end of file
diff --git a/src/secrets_manager.py b/src/secrets_manager.py
new file mode 100644
index 0000000..c0fb61e
--- /dev/null
+++ b/src/secrets_manager.py
@@ -0,0 +1,48 @@
+import boto3
+from botocore.exceptions import ClientError
+import json
+
+
+def sm_client():
+ sm_client = boto3.client('secretsmanager')
+ yield sm_client
+
+def create_secret(sm_client, secret_name, cohort_id, user, password, host, database, port):
+ secret = {
+ "cohort_id": cohort_id,
+ "user": user,
+ "password": password,
+ "host": host,
+ "database": database,
+ "port": port
+ }
+
+ response = sm_client.create_secret(
+ Name = secret_name,
+ SecretString = json.dumps(secret)
+ )
+
+ print(response)
+ return response
+
+def list_secret(sm_client):
+ response = sm_client.list_secrets()
+ secret_dict = response['SecretList']
+ secret_names = []
+ for items in secret_dict:
+ secret_names.append(items['Name'])
+ print(f'{len(secret_names)} secret(s) available')
+ for name in secret_names:
+ print(name)
+ return secret_names
+
+def retrieve_secrets(sm_client):
+ response = sm_client.get_secrets(
+
+ )
+
+
+
+#retrieve secret
+#so lambda can access totesy db
+#so lambda connect to the db and then retrieve the data \ No newline at end of file
diff --git a/src/transform_lambda.py b/src/transform_lambda.py
new file mode 100644
index 0000000..6ee681f
--- /dev/null
+++ b/src/transform_lambda.py
@@ -0,0 +1,2 @@
+def lambda_handler():
+ pass \ No newline at end of file
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