changes

docker-compose.yml

@@ -1,4 +1,3 @@
-version: '3.8'
 services:
   redis:
     image: redis:7
@@ -20,22 +19,6 @@ services:
       interval: 10s
       timeout: 5s
       retries: 5
-  minio:
-    image: minio/minio
-    command: server /data --console-address ":9001"
-    environment:
-      MINIO_ROOT_USER: minioadmin
-      MINIO_ROOT_PASSWORD: minioadmin
-    ports:
-      - "9000:9000"
-      - "9001:9001"
-    volumes:
-      - minio-data:/data
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]
-      interval: 30s
-      timeout: 20s
-      retries: 5
   worker:
     build:
       context: .
@@ -45,19 +28,15 @@ services:
         condition: service_healthy
       mongodb:
         condition: service_healthy
-      minio:
-        condition: service_healthy
     environment:
       REDIS_URL: redis://redis:6379
       REDIS_QUEUE_NAME: rss-feed-queue
       MONGODB_URL: mongodb://mongodb:27017
-      MONGODB_DB_NAME: ingestrss
+      MONGODB_ARTICLES_DB_NAME: articles_db
-      MONGODB_COLLECTION_NAME: rss_feeds
+      MONGODB_ARTICLES_COLLECTION_NAME: articles
-      MINIO_ENDPOINT: minio:9000
+      MONGODB_FEEDS_DB_NAME: feeds_db
-      MINIO_ACCESS_KEY: minioadmin
+      MONGODB_FEEDS_COLLECTION_NAME: rss_feeds
-      MINIO_SECRET_KEY: minioadmin
+      STORAGE_STRATEGY: mongodb
-      MINIO_BUCKET: ingestrss
-      STORAGE_STRATEGY: s3
       LOG_LEVEL: INFO
   scheduler:
     build:
@@ -72,9 +51,25 @@ services:
       REDIS_URL: redis://redis:6379
       REDIS_QUEUE_NAME: rss-feed-queue
       MONGODB_URL: mongodb://mongodb:27017
-      MONGODB_DB_NAME: ingestrss
+      MONGODB_ARTICLES_DB_NAME: articles_db
-      MONGODB_COLLECTION_NAME: rss_feeds
+      MONGODB_ARTICLES_COLLECTION_NAME: articles
+      MONGODB_FEEDS_DB_NAME: feeds_db
+      MONGODB_FEEDS_COLLECTION_NAME: rss_feeds
       LOG_LEVEL: INFO
+  dashboard:
+    build:
+      context: .
+      dockerfile: src/dashboard/Dockerfile
+    depends_on:
+      mongodb:
+        condition: service_healthy
+    environment:
+      MONGODB_URL: mongodb://mongodb:27017
+      MONGODB_FEEDS_DB_NAME: feeds_db
+      MONGODB_FEEDS_COLLECTION_NAME: rss_feeds
+    volumes:
+      - ./src/dashboard:/app
+    ports:
+      - "18000:8000"
 volumes:
-  mongo-data:
+  mongo-data:
-  minio-data:

docker/scheduler/Dockerfile

@@ -3,4 +3,5 @@ WORKDIR /app
 COPY requirements.txt ./
 RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
+ENV PYTHONPATH=/app
 CMD ["python", "local_services/scheduler.py"]

docker/worker/Dockerfile

@@ -3,4 +3,5 @@ WORKDIR /app
 COPY requirements.txt ./
 RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
+ENV PYTHONPATH=/app
 CMD ["python", "local_services/worker.py"]

local_services/scheduler.py

@@ -4,8 +4,8 @@ import logging
 import importlib
 
 handler = importlib.import_module(
-    'src.infra.lambdas.RSSQueueFiller.lambda.lambda_function'
+    'src.feed_management.scheduler_main'
-).handler
+).scheduler_main
 
 logging.basicConfig(level=os.getenv("LOG_LEVEL", "INFO"))
 logger = logging.getLogger(__name__)
@@ -17,7 +17,7 @@ def main():
     logger.info("Starting scheduler loop")
     while True:
         try:
-            handler({}, None)
+            handler()
         except Exception as exc:
             logger.exception("Scheduler job failed: %s", exc)
         time.sleep(INTERVAL_MINUTES * 60)

local_services/worker.py

@@ -2,7 +2,7 @@ import os
 import time
 import logging
 
-from src.infra.lambdas.RSSFeedProcessorLambda.src.lambda_function import lambda_handler
+from src.feed_processing.worker_main import worker_main
 
 logging.basicConfig(level=os.getenv("LOG_LEVEL", "INFO"))
 logger = logging.getLogger(__name__)
@@ -13,7 +13,7 @@ def main():
     logger.info("Starting worker loop")
     while True:
         try:
-            lambda_handler({}, None)
+            worker_main()
         except Exception as exc:
             logger.exception("Worker iteration failed: %s", exc)
         time.sleep(SLEEP_SECONDS)

requirements.txt

@@ -1,8 +1,6 @@
-boto3==1.35.*
 pymongo==4.*
 python-dotenv==1.0.*
 requests==2.32.*
-constructs==10.2.69
 # Vector database and embedding libraries
 qdrant-client
 ollama
@@ -14,4 +12,6 @@ schedule==1.*
 feedparser
 newspaper3k
 python-dateutil
-lxml
+lxml
+lxml[html_clean]
+boto3

src/analysis-toolkit/s3_object_ingestion.py

@@ -1,58 +0,0 @@
-from minio import Minio
-import os
-import matplotlib.pyplot as plt
-from datetime import datetime, timedelta
-from collections import defaultdict
-
-def get_s3_object_creation_dates(bucket_name):
-    client = Minio(
-        os.getenv("MINIO_ENDPOINT"),
-        access_key=os.getenv("MINIO_ACCESS_KEY"),
-        secret_key=os.getenv("MINIO_SECRET_KEY"),
-        secure=False
-    )
-    creation_dates = []
-
-    for obj in client.list_objects(bucket_name, recursive=True):
-        creation_dates.append(obj.last_modified.date())
-
-    return creation_dates
-
-def plot_creation_dates(dates):
-    # Count objects created on each date
-    date_counts = defaultdict(int)
-    for date in dates:
-        date_counts[date] += 1
-
-    # Sort dates and get counts
-    sorted_dates = sorted(date_counts.keys())
-    counts = [date_counts[date] for date in sorted_dates]
-
-    # Create the plot
-    plt.figure(figsize=(15, 8))
-    bars = plt.bar(sorted_dates, counts)
-    plt.title('S3 Object Creation Dates')
-    plt.xlabel('Date')
-    plt.ylabel('Number of Objects Created')
-    plt.xticks(rotation=45, ha='right')
-
-    # Label each bar with its height
-    for bar in bars:
-        height = bar.get_height()
-        plt.text(bar.get_x() + bar.get_width()/2., height,
-                 f'{int(height)}',
-                 ha='center', va='bottom')
-
-    plt.tight_layout()
-
-    # Save the plot
-    plt.savefig('s3_object_creation_dates.png', dpi=300, bbox_inches='tight')
-    print("Graph saved as 's3_object_creation_dates.png'")
-
-def main():
-    bucket_name = os.getenv('MINIO_BUCKET')
-    dates = get_s3_object_creation_dates(bucket_name)
-    plot_creation_dates(dates)
-
-if __name__ == "__main__":
-    main()

src/feed_management/upload_rss_feeds.py

@@ -6,6 +6,10 @@ import logging
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
+MONGODB_URL = os.getenv('MONGODB_URL', 'mongodb://localhost:27017')
+MONGODB_FEEDS_DB_NAME = os.getenv('MONGODB_FEEDS_DB_NAME', 'feeds_db')
+MONGODB_FEEDS_COLLECTION_NAME = os.getenv('MONGODB_FEEDS_COLLECTION_NAME', 'rss_feeds')
+
 def upload_rss_feeds(rss_feeds, mongo_url, db_name, collection_name):
     client = MongoClient(mongo_url)
     collection = client[db_name][collection_name]
@@ -33,10 +37,7 @@ def upload_rss_feeds(rss_feeds, mongo_url, db_name, collection_name):
     )
 
 if __name__ == "__main__":
-    mongo_url = os.getenv('MONGODB_URL', 'mongodb://localhost:27017')
-    db_name = os.getenv('MONGODB_DB_NAME', 'ingestrss')
-    collection_name = os.getenv('MONGODB_COLLECTION_NAME', 'rss_feeds')
     with open('rss_feeds.json') as f:
         rss_feeds = json.load(f)
     logger.info(f"Loaded RSS feeds: {rss_feeds}")
-    upload_rss_feeds(rss_feeds, mongo_url, db_name, collection_name)
+    upload_rss_feeds(rss_feeds, MONGODB_URL, MONGODB_FEEDS_DB_NAME, MONGODB_FEEDS_COLLECTION_NAME)

src/infra/cloudformation/eventbridge.yaml

@@ -1,38 +0,0 @@
-Parameters:
-  LambdaFunctionArn:
-    Type: String
-    Description: ARN of the RSS Feed Processor Lambda function
-
-Resources:
-  EventBridgeScheduleRole:
-    Type: AWS::IAM::Role
-    Properties:
-      AssumeRolePolicyDocument:
-        Version: '2012-10-17'
-        Statement:
-          - Effect: Allow
-            Principal:
-              Service: scheduler.amazonaws.com
-            Action: sts:AssumeRole
-      Policies:
-        - PolicyName: EventBridgeSchedulePolicy
-          PolicyDocument:
-            Version: '2012-10-17'
-            Statement:
-              - Effect: Allow
-                Action: lambda:InvokeFunction
-                Resource: !Ref LambdaFunctionArn
-
-  EventBridgeSchedule:
-    Type: AWS::Scheduler::Schedule
-    Properties:
-      Name: rss-feed-processor-schedule
-      Description: Runs the RSS Feed Processor Lambda function every hour
-      State: ENABLED
-      ScheduleExpression: rate(240 minutes)
-      FlexibleTimeWindow: 
-        Mode: FLEXIBLE
-        MaximumWindowInMinutes: 1
-      Target:
-        Arn: !Ref LambdaFunctionArn
-        RoleArn: !GetAtt EventBridgeScheduleRole.Arn

src/infra/cloudformation/lambda_role.yaml

@@ -1,68 +0,0 @@
-AWSTemplateFormatVersion: '2010-09-09'
-Description: 'IAM Role for RSS Feed Processor Lambda Function with Environment Variable Encryption'
-
-Parameters:
-  LambdaExecutionRoleName:
-    Type: String
-    Description: "Name of the Lambda Execution Role"
-  LambdaKMSKeyArn:
-    Type: String
-    Description: "ARN of the KMS Key for Lambda environment variable encryption"
-  Region:
-    Type: String
-    Description: "AWS Region for deployment"
-    Default: "us-east-1"
-
-Resources:
-  LambdaExecutionRole:
-    Type: 'AWS::IAM::Role'
-    Properties:
-      RoleName: !Ref LambdaExecutionRoleName
-      AssumeRolePolicyDocument:
-        Version: '2012-10-17'
-        Statement:
-          - Effect: Allow
-            Principal:
-              Service:
-                - lambda.amazonaws.com
-            Action:
-              - 'sts:AssumeRole'
-      ManagedPolicyArns:
-        - 'arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole'
-      Policies:
-        - PolicyName: 'RSSFeedProcessorLambdaPolicy'
-          PolicyDocument:
-            Version: '2012-10-17'
-            Statement:
-              - Effect: Allow
-                Action:
-                  - 'sqs:*'
-                  - 's3:*'
-                  - 'lambda:*'
-                  - 'logs:*'
-                  - 'xray:*'
-                  - 'cloudwatch:*'
-                  - 'events:*'
-                Resource: '*'
-              - Effect: Allow
-                Action:
-                  - 'kms:Decrypt'
-                  - 'kms:GenerateDataKey'
-                Resource: !Ref LambdaKMSKeyArn
-
-Outputs:
-  LambdaRoleArn:
-    Description: 'ARN of the Lambda Execution Role'
-    Value: !GetAtt LambdaExecutionRole.Arn
-    Export:
-       Name: !Sub '${AWS::StackName}-LambdaRoleArn'
-  LambdaKMSKeyArn:
-    Description: 'ARN of the KMS Key for Lambda'
-    Value: !Ref LambdaKMSKeyArn
-    Export:
-      Name: !Sub '${AWS::StackName}-LambdaKMSKeyArn'
-  Region:
-    Description: 'AWS Region for deployment'
-    Value: !Ref Region
-    Export:
-      Name: !Sub '${AWS::StackName}-Region'

src/infra/cloudformation/rss_lambda_stack.yaml

@@ -1,78 +0,0 @@
-AWSTemplateFormatVersion: '2010-09-09'
-Description: Redis Queue Filler Lambda Stack
-
-Parameters:
-  QueueFillerLambdaName:
-    Type: String
-    Description: Name of the Lambda function
-  RedisUrl:
-    Type: String
-    Description: URL of the Redis instance
-  RedisQueueName:
-    Type: String
-    Description: Name of the Redis queue
-  LambdaCodeS3Bucket:
-    Type: String
-    Description: S3 bucket containing the Lambda function code
-  LambdaCodeS3Key:
-    Type: String
-    Description: S3 key for the Lambda function code
-  LambdaRuntime:
-    Type: String
-    Description: Lambda runtime
-    Default: python3.12
-  LambdaTimeout:
-    Type: Number
-    Description: Lambda timeout in seconds
-    Default: 300
-
-Resources:
-  SqsFillerFunction:
-    Type: AWS::Lambda::Function
-    Properties:
-      FunctionName: !Ref QueueFillerLambdaName
-      Runtime: !Ref LambdaRuntime
-      Handler: lambda_function.handler
-      Code:
-        S3Bucket: !Ref LambdaCodeS3Bucket
-        S3Key: !Ref LambdaCodeS3Key
-      Timeout: !Ref LambdaTimeout
-      Environment:
-        Variables:
-          REDIS_URL: !Ref RedisUrl
-          REDIS_QUEUE_NAME: !Ref RedisQueueName
-      Role: !GetAtt SqsFillerFunctionRole.Arn
-
-  SqsFillerFunctionRole:
-    Type: AWS::IAM::Role
-    Properties:
-      AssumeRolePolicyDocument:
-        Version: '2012-10-17'
-        Statement:
-          - Effect: Allow
-            Principal:
-              Service: lambda.amazonaws.com
-            Action: sts:AssumeRole
-      Policies:
-        - PolicyName: LambdaExecutionPolicy
-          PolicyDocument:
-            Version: '2012-10-17'
-            Statement:
-              - Effect: Allow
-                Action:
-                  - logs:CreateLogGroup
-                  - logs:CreateLogStream
-                  - logs:PutLogEvents
-                Resource: arn:aws:logs:*:*:*
-              - Effect: Allow
-                Action:
-                  - s3:GetObject
-                Resource: !Sub arn:aws:s3:::${LambdaCodeS3Bucket}/${LambdaCodeS3Key}
-
-Outputs:
-  SqsFillerFunctionArn:
-    Description: ARN of the Queue Filler Lambda Function
-    Value: !GetAtt SqsFillerFunction.Arn
-  SqsFillerFunctionRoleArn:
-    Description: ARN of the IAM Role for Queue Filler Lambda Function
-    Value: !GetAtt SqsFillerFunctionRole.Arn

src/infra/cloudformation/s3.yaml

@@ -1,26 +0,0 @@
-AWSTemplateFormatVersion: '2010-09-09'
-Description: 'CloudFormation template for RSS Feed Processor S3 Bucket'
-
-Parameters:
-  BucketName:
-    Type: String
-    Description: "Name of the Lambda Execution Role"
-
-Resources:
-  ArticleContentBucket:
-    Type: AWS::S3::Bucket
-    Properties:
-      BucketName: !Ref BucketName
-      VersioningConfiguration:
-        Status: Enabled
-      BucketEncryption:
-        ServerSideEncryptionConfiguration:
-          - ServerSideEncryptionByDefault:
-              SSEAlgorithm: AES256
-
-Outputs:
-  BucketName:
-    Description: 'Name of the S3 bucket for article content'
-    Value: !Ref ArticleContentBucket
-    Export:
-      Name: !Sub '${AWS::StackName}-ArticleContentBucketName'

src/infra/deploy_infrastructure.py

@@ -1,197 +0,0 @@
-import boto3
-import os
-import sys
-import json
-from src.utils.retry_logic import retry_with_backoff
-from botocore.exceptions import ClientError
-from qdrant_client import QdrantClient, models
-
-
-
-from dotenv import load_dotenv
-load_dotenv(override=True)
-
-kms_client = boto3.client('kms', region_name=os.getenv("AWS_REGION"))
-stack_base = os.getenv("STACK_BASE")
-
-@retry_with_backoff()
-def deploy_cloudformation(template_file, stack_suffix, force_recreate=False, parameters=[]):
-    cf_client = boto3.client('cloudformation', region_name=os.getenv("AWS_REGION"))
-    stack_name = f"{stack_base}-{stack_suffix}"
-    
-    with open(f'src/infra/cloudformation/{template_file}', 'r') as file:
-        template_body = file.read()
-    
-    capabilities = ['CAPABILITY_NAMED_IAM']
-    
-    try:
-        if force_recreate:
-            try:
-                print(f"Deleting stack {stack_name} for recreation...")
-                cf_client.delete_stack(StackName=stack_name)
-                waiter = cf_client.get_waiter('stack_delete_complete')
-                waiter.wait(StackName=stack_name)
-                print(f"Stack {stack_name} deleted successfully.")
-            except ClientError:
-                print(f"Stack {stack_name} does not exist or is already deleted.")
-        
-        try:
-            stack = cf_client.describe_stacks(StackName=stack_name)['Stacks'][0]
-            print(f"Updating stack {stack_name}...")
-            cf_client.update_stack(
-                StackName=stack_name,
-                TemplateBody=template_body,
-                Capabilities=capabilities,
-                Parameters=parameters  # Add parameters here
-            )
-            waiter = cf_client.get_waiter('stack_update_complete')
-            waiter.wait(StackName=stack_name)
-            print(f"Stack {stack_name} updated successfully.")
-        except ClientError as e:
-            if 'does not exist' in str(e):
-                print(f"Creating stack {stack_name}...")
-                cf_client.create_stack(
-                    StackName=stack_name,
-                    TemplateBody=template_body,
-                    Capabilities=capabilities,
-                    Parameters=parameters  # Add parameters here
-                )
-                waiter = cf_client.get_waiter('stack_create_complete')
-                waiter.wait(StackName=stack_name)
-                print(f"Stack {stack_name} created successfully.")
-            elif 'No updates are to be performed' in str(e):
-                print(f"No updates needed for stack {stack_name}.")
-            else:
-                raise 
-    
-    except ClientError as e:
-        print(f"Error handling stack {stack_name}: {str(e)}")
-        raise 
-    
-def get_or_create_kms_key():
-    # Create a KMS client
-    kms_client = boto3.client('kms', region_name=os.getenv("AWS_REGION"))
-    tag_key = 'purpose'
-    tag_value = 'You pass butter'
-    description = 'KMS key for RSS Feed Processor... Oh my god'
-    
-    account_id = os.getenv('AWS_ACCOUNT_ID')
-    
-    try:
-        # List all KMS keys
-        response = kms_client.list_keys()
-        
-        # Check each key for the specified tag
-        for key in response['Keys']:
-            try:
-                tags = kms_client.list_resource_tags(KeyId=key['KeyId'])['Tags']
-                if any(tag['TagKey'] == tag_key and tag['TagValue'] == tag_value for tag in tags) and any(tag['TagKey'] == 'region' and tag['TagValue'] == os.getenv("AWS_REGION") for tag in tags): # FIXME: This is inefficient and should be fixed and more readable.
-                    print(f"Found existing KMS key with ID: {key['KeyId']}")
-                    return key['KeyId']
-            except ClientError:
-                continue
-        
-        # If no key found, create a new one with appropriate policy
-        print("No existing key found. Creating a new KMS key.")
-        key_policy = {
-            "Version": "2012-10-17",
-            "Statement": [
-                {
-                    "Sid": "Enable IAM User Permissions",
-                    "Effect": "Allow",
-                    "Principal": {"AWS": f"arn:aws:iam::{account_id}:root"},
-                    "Action": "kms:*",
-                    "Resource": "*"
-                },
-                {
-                    "Sid": "Allow Lambda to use the key",
-                    "Effect": "Allow",
-                    "Principal": {"Service": "lambda.amazonaws.com"},
-                    "Action": [
-                        "kms:Decrypt",
-                        "kms:GenerateDataKey*"
-                    ],
-                    "Resource": "*"
-                }
-            ]
-        }
-        
-        response = kms_client.create_key(
-            Description=description,
-            KeyUsage='ENCRYPT_DECRYPT',
-            Origin='AWS_KMS',
-            Tags=[{'TagKey': tag_key, 'TagValue': tag_value}, {'TagKey': 'region', 'TagValue': os.getenv("AWS_REGION")}],
-            Policy=json.dumps(key_policy)
-        )
-        
-        key_id = response['KeyMetadata']['KeyId']
-        print(f"Successfully created new KMS key with ID: {key_id}")
-        
-        return key_id
-    
-    except ClientError as e:
-        print(f"Error in KMS key operation: {e}")
-        sys.exit(1)
-        
-
-
-def deploy_infrastructure():
-    # Do some stuff with KMS keys.
-    kms_key_id = get_or_create_kms_key()
-    
-    key_info = kms_client.describe_key(KeyId=kms_key_id)
-    kms_key_arn = key_info['KeyMetadata']['Arn']
-
-    
-
-    deploy_cloudformation('s3.yaml', 'S3',
-                        parameters=[
-                            {
-                                'ParameterKey': 'BucketName',
-                                'ParameterValue': os.getenv('S3_BUCKET_NAME')
-                            }
-                        ])
-    deploy_cloudformation('s3.yaml', 'S3-zipped',
-                        parameters=[
-                            {
-                                'ParameterKey': 'BucketName',
-                                'ParameterValue': os.getenv('S3_LAMBDA_ZIPPED_BUCKET_NAME')
-                            }
-                        ])
-    deploy_cloudformation('lambda_role.yaml', 'Lambda', force_recreate=True,
-                                parameters=[
-                                    {
-                                        'ParameterKey': 'LambdaExecutionRoleName',
-                                        'ParameterValue': os.environ.get('LAMBDA_EXECUTION_ROLE_NAME', 'default-role-name')
-                                    },
-                                    {
-                                        'ParameterKey': 'LambdaKMSKeyArn',
-                                        'ParameterValue': kms_key_arn
-                                    }
-                                ]
-                        )
-    
-    deploy_cloudformation('eventbridge.yaml', 'Schedule',
-                          parameters=[
-                              {
-                                  'ParameterKey': 'LambdaFunctionArn',
-                                  'ParameterValue': f"arn:aws:lambda:{os.getenv('AWS_REGION')}:{os.getenv('AWS_ACCOUNT_ID')}:function:{os.getenv('QUEUE_FILLER_LAMBDA_NAME')}"
-                              }
-                          ])
-    
-    if os.getenv("STORAGE_STRATEGY") == 'qdrant':
-        client = QdrantClient(url=os.getenv("QDRANT_URL"), api_key=os.getenv("QDRANT_API_KEY"))
-        collection = os.getenv("QDRANT_COLLECTION_NAME")
-        embedding_dim = int(os.getenv("VECTOR_EMBEDDING_DIM"))
-        metric = os.getenv("VECTOR_SEARCH_METRIC", "cosine").upper()
-
-        existing = [c.name for c in client.get_collections().collections]
-        if collection not in existing:
-            client.create_collection(
-                collection_name=collection,
-                vectors_config=models.VectorParams(size=embedding_dim, distance=getattr(models.Distance, metric))
-            )
-        
-
-if __name__ == "__main__":
-    deploy_infrastructure()

src/infra/lambdas/RSSFeedProcessorLambda/deploy_rss_feed_lambda.py

@@ -1,211 +0,0 @@
-import boto3
-import os
-import zipfile
-import io
-import requests
-import json
-from botocore.exceptions import ClientError
-from src.utils.retry_logic import retry_with_backoff
-import time
-import sys
-from src.infra.deploy_infrastructure import get_or_create_kms_key
-from dotenv import load_dotenv
-load_dotenv(override=True)
-
-import logging
-logging.basicConfig(level=os.getenv('LOG_LEVEL', 'INFO'))
-
-# Set variables
-
-LAMBDA_NAME = os.getenv('LAMBDA_FUNCTION_NAME')
-
-ACCOUNT_NUM = os.getenv('AWS_ACCOUNT_ID')
-REGION = os.getenv("AWS_REGION")
-LAMBDA_ROLE_ARN = os.getenv("LAMBDA_ROLE_ARN")
-LAMBDA_TIMEOUT = int(os.getenv('LAMBDA_TIMEOUT'))
-LAMBDA_MEMORY = int(os.getenv('LAMBDA_MEMORY'))
-LAMBDA_RUNTIME = os.getenv('LAMBDA_RUNTIME')
-LAMBDA_STACK_NAME = os.getenv("STACK_BASE") + f"-{LAMBDA_NAME}"
-LAMBDA_HANDLER = "lambda_function.lambda_handler"
-LAMBDA_LAYER_NAME = LAMBDA_NAME + "Layer"
-S3_LAYER_KEY = os.getenv('S3_LAYER_KEY_NAME')+'.zip'
-
-def zip_directory(path):
-    print(f"Creating deployment package from {path}...")
-    zip_buffer = io.BytesIO()
-    with zipfile.ZipFile(zip_buffer, 'a', zipfile.ZIP_DEFLATED, False) as zip_file:
-        for root, _, files in os.walk(path):
-            for file in files:
-                file_path = os.path.join(root, file)
-                arcname = os.path.relpath(file_path, path)
-                zip_file.write(file_path, arcname)
-    return zip_buffer.getvalue()
-
-@retry_with_backoff()
-def update_function_code(lambda_client, function_name, zip_file):
-    return lambda_client.update_function_code(
-        FunctionName=function_name,
-        ZipFile=zip_file
-    )
-
-def get_or_create_lambda_layer():
-    layer_arn = os.getenv('LAMBDA_LAYER_ARN')
-    
-    return layer_arn
-
-@retry_with_backoff(max_retries=50, initial_backoff=5, backoff_multiplier=2) # Note: This function usually takes a long time to be successful. 
-def update_function_configuration(lambda_client, function_name, handler, role, timeout, memory, layers, kms_key_id):
-
-    config = {
-        'FunctionName': function_name,
-        'Handler': handler,
-        'Role': role,
-        'Timeout': timeout,
-        'MemorySize': memory,
-        'Layers': layers
-    }
-    
-    
-    if kms_key_id:
-        config['KMSKeyArn'] = f"arn:aws:kms:{REGION}:{ACCOUNT_NUM}:key/{kms_key_id}"
-
-    try:
-        response = lambda_client.update_function_configuration(**config)
-        print(f"Update request sent successfully for {function_name}.")
-        
-    except ClientError as e:
-        if e.response['Error']['Code'] == 'ResourceConflictException':
-            logging.info(f"Function {function_name} is currently being updated. Retrying...")
-            raise e
-
-@retry_with_backoff()
-def configure_sqs_trigger(lambda_client, function_name, queue_arn):
-    """Placeholder for backward compatibility. Redis deployment uses no SQS trigger."""
-    return
-
-@retry_with_backoff()
-def create_function(lambda_client, function_name, runtime, role, handler, zip_file, timeout, memory, layers, kms_key_id, policy):
-    config = {
-        'FunctionName': function_name,
-        'Runtime': runtime,
-        'Role': role,
-        'Handler': handler,
-        'Code': {'ZipFile': zip_file},
-        'Timeout': timeout,
-        'MemorySize': memory,
-        'Layers': layers
-    }
-    print(policy)
-    
-    if kms_key_id:
-        config['KMSKeyArn'] = f"arn:aws:kms:{REGION}:{ACCOUNT_NUM}:key/{kms_key_id}"
-    
-    try:
-        return lambda_client.create_function(**config)
-    except ClientError as e:
-        if e.response['Error']['Code'] == 'InvalidParameterValueException':
-            print(f"Error creating function: {e}")
-            print("Ensure that the IAM role has the correct trust relationship and permissions.")
-            print("There might be a delay in role propagation. Please wait a few minutes and try again.")
-        raise
-
-def get_pillow_layer_arn():
-    url = f"https://api.klayers.cloud/api/v2/p{os.getenv('PYTHON_VERSION')}/layers/latest/{os.getenv('AWS_REGION')}/json"
-    try:
-        response = requests.get(url)
-        response.raise_for_status()
-        layers_data = response.json()
-        
-        pillow_layer = next((layer for layer in layers_data if layer['package'] == 'Pillow'), None)
-        
-        if pillow_layer:
-            return pillow_layer['arn']
-        else:
-            print("Pillow layer not found in the API response.")
-            return None
-    except requests.RequestException as e:
-        print(f"Error fetching Pillow layer ARN: {e}")
-        return None
-    
-def get_lambda_policy():
-    policy = {
-    "Version": "2012-10-17",
-    "Statement": [
-        {
-            "Effect": "Allow",
-            "Action": [
-                "logs:CreateLogGroup",
-                "logs:CreateLogStream",
-                "logs:PutLogEvents"
-            ],
-            "Resource": "arn:aws:logs:*:*:*"
-        },
-        {
-            "Effect": "Allow",
-            "Action": [
-                "s3:GetObject",
-                "s3:PutObject"
-            ],
-            "Resource": "arn:aws:s3:::your-bucket-name/*"
-        }
-    ]
-}
-
-def deploy_lambda():
-    lambda_client = boto3.client('lambda', region_name=REGION)
-
-    print(f"Starting deployment of Lambda function: {LAMBDA_NAME}")
-    deployment_package = zip_directory('src/infra/lambdas/RSSFeedProcessorLambda/src')
-
-    layer_arn = get_or_create_lambda_layer()
-    if layer_arn:
-        print(f"Using Lambda Layer ARN: {layer_arn}")
-    else:
-        print("Warning: Lambda Layer not found or created. Proceeding without Layer.")
-
-    pillow_layer_arn = get_pillow_layer_arn()
-    if pillow_layer_arn:
-        print(f"Using Pillow Layer ARN: {pillow_layer_arn}")
-    else:
-        print("Warning: Pillow Layer not found. Proceeding without Pillow Layer.")
-
-    kms_key_id = get_or_create_kms_key()
-    if kms_key_id:
-        print(f"Using KMS Key ID: {kms_key_id}")
-    else:
-        print("Warning: KMS Key not found or created. Proceeding without KMS Key.")
-        sys.exit(1)
-
-    try:
-        # Check if the function exists
-        try:
-            lambda_client.get_function(FunctionName=LAMBDA_NAME)
-            function_exists = True
-        except ClientError as e:
-            if e.response['Error']['Code'] == 'ResourceNotFoundException':
-                function_exists = False
-            else:
-                raise e
-
-        # Combine the layers
-        layers = [layer_arn] if layer_arn else []
-        if pillow_layer_arn:
-            layers.append(pillow_layer_arn)
-
-        if function_exists:
-            print("Updating existing Lambda function...")
-            update_function_configuration(lambda_client, LAMBDA_NAME, LAMBDA_HANDLER, LAMBDA_ROLE_ARN, LAMBDA_TIMEOUT, LAMBDA_MEMORY, layers, kms_key_id)
-            update_function_code(lambda_client, LAMBDA_NAME, deployment_package)
-        else:
-            print(f"Lambda function '{LAMBDA_NAME}' not found. Creating new function...")
-            policy = get_lambda_policy()
-            create_function(lambda_client, LAMBDA_NAME, LAMBDA_RUNTIME, LAMBDA_ROLE_ARN, LAMBDA_HANDLER, deployment_package, LAMBDA_TIMEOUT, LAMBDA_MEMORY, layers, kms_key_id, policy)
-
-        print("Lambda deployment completed successfully!")
-
-    except Exception as e:
-        print(f"Error during Lambda deployment: {str(e)}")
-        raise
-
-if __name__ == "__main__":
-    deploy_lambda()

src/infra/lambdas/RSSFeedProcessorLambda/layers/requirements.txt

@@ -1,4 +0,0 @@
-newspaper3k
-feedparser
-python-dateutil
-lxml

src/infra/lambdas/RSSFeedProcessorLambda/src/analytics/embeddings/vector_db.py

@@ -1,72 +0,0 @@
-import os
-import requests
-
-from qdrant_client import QdrantClient, models
-
-try:
-    from ...utils import setup_logging
-except ImportError:
-    # Fallback for when running standalone
-    import logging
-    def setup_logging():
-        return logging.getLogger(__name__)
-
-logger = setup_logging()
-
-qdrant_url = os.getenv("QDRANT_URL", "http://localhost:6333")
-qdrant_api_key = os.getenv("QDRANT_API_KEY")
-collection_name = os.getenv("QDRANT_COLLECTION_NAME")
-
-embedding_dim = os.getenv("VECTOR_EMBEDDING_DIM")
-vector_search_metric = os.getenv("VECTOR_SEARCH_METRIC", "cosine")
-
-ollama_host = os.getenv("OLLAMA_HOST", "http://localhost:11434")
-ollama_embedding_model = os.getenv("OLLAMA_EMBEDDING_MODEL", "nomic-embed-text")
-
-client = QdrantClient(url=qdrant_url, api_key=qdrant_api_key)
-
-def get_index():
-    collections = client.get_collections().collections
-    if collection_name not in [c.name for c in collections]:
-        raise KeyError(f"Collection {collection_name} not found")
-    return client
-
-def vectorize(article: str) -> list[float]:
-    try:
-        response = requests.post(
-            f"{ollama_host}/api/embeddings",
-            json={"model": ollama_embedding_model, "prompt": article},
-            timeout=30,
-        )
-        response.raise_for_status()
-        return response.json().get("embedding", [])
-    except requests.RequestException as e:
-        logger.error(f"Error generating embedding: {e}")
-        # Return a zero vector of the expected dimension as fallback
-        dim = int(embedding_dim) if embedding_dim else 384  # Default dimension
-        return [0.0] * dim
-
-
-def upsert_vectors(index: QdrantClient, data: list[dict]):
-    points = [
-        models.PointStruct(id=item["id"], vector=item["vector"], payload=item.get("payload"))
-        for item in data
-    ]
-    index.upsert(collection_name=collection_name, points=points)
-
-
-def query_vectors(index: QdrantClient, vector: list[float], top_k: int, filter_query: dict | None = None):
-    if embedding_dim and len(vector) != int(embedding_dim):
-        raise ValueError("Length of vector does not match the embedding dimension")
-    return index.search(
-        collection_name=collection_name,
-        query_vector=vector,
-        limit=top_k,
-        with_payload=True,
-        query_filter=filter_query,
-    )
-
-
-if __name__ == "__main__":
-    paragraph = "This is a test."
-    vectorize(paragraph)

src/infra/lambdas/RSSFeedProcessorLambda/src/analytics/genai/summarization.py

@@ -1,6 +0,0 @@
-
-
-def summarize(text:str): 
-    sub_prompt = "Summarize the following passage"
-    
-    

src/infra/lambdas/RSSFeedProcessorLambda/src/article_cleaning.py

@@ -1,14 +0,0 @@
-import re
-
-def remove_newlines(text: str) -> str:
-    return text.replace('\n', '')
-
-def remove_urls(text: str) -> str:
-    url_pattern = re.compile(r'http\S+|www\S+')
-    return url_pattern.sub('', text)
-
-
-def clean_text(text: str) -> str: 
-    text = remove_newlines(text)
-    text = remove_urls(text)
-    return text

src/infra/lambdas/RSSFeedProcessorLambda/src/article_extractor.py

@@ -1,31 +0,0 @@
-import newspaper
-import logging
-
-
-
-logger = logging.getLogger()
-
-def extract_article(url):
-    """
-    Extracts the title and text of an article from the given URL.
-    
-    Args:
-        url (str): The URL of the article.
-    Returns:
-        A tuple containing the title and text of the article, respectively.
-    """
-    logger.debug(f"Starting Newspaper Article Extraction {url}")
-    config = newspaper.Config()
-    config.request_timeout = 60
-    article = newspaper.Article(url)
-    
-    try:
-        article.download()
-        logger.debug(f"Downloaded Article {url}")
-        article.parse()
-        logger.debug(f"Parsed Article {url}")    
-        
-        return article.title, article.text
-    except Exception as e:
-        logger.error(f"Failed to extract article {url}: {str(e)}")
-        return None, None

src/infra/lambdas/RSSFeedProcessorLambda/src/config.py

@@ -1,15 +0,0 @@
-import os
-
-# Redis Configuration
-REDIS_URL = os.environ["REDIS_URL"]
-REDIS_QUEUE_NAME = os.environ.get("REDIS_QUEUE_NAME", "rss-feed-queue")
-
-# Logging Configuration
-LOG_LEVEL = os.environ.get("LOG_LEVEL", "INFO")
-
-# RSS Feed Processing Configuration
-MAX_ARTICLES_PER_FEED = int(os.environ.get("MAX_ARTICLES_PER_FEED", "10"))
-FEED_PROCESSING_TIMEOUT = int(os.environ.get("FEED_PROCESSING_TIMEOUT", "90"))
-
-# Article Extraction Configuration
-ARTICLE_EXTRACTION_TIMEOUT = int(os.environ.get("ARTICLE_EXTRACTION_TIMEOUT", "30"))

src/infra/lambdas/RSSFeedProcessorLambda/src/data_storage.py

@@ -1,127 +0,0 @@
-import boto3
-from minio import Minio
-import json
-import os
-import logging
-from datetime import datetime
-from pymongo import MongoClient
-
-logger = logging.getLogger()
-
-# Try to import vector DB components, but make them optional
-try:
-    from .analytics.embeddings.vector_db import get_index, upsert_vectors, vectorize
-    VECTOR_DB_AVAILABLE = True
-except ImportError:
-    VECTOR_DB_AVAILABLE = False
-    logger.warning("Vector DB components not available. Qdrant storage will not work.")
-
-s3 = boto3.client('s3')
-
-CONTENT_BUCKET = os.getenv("S3_BUCKET_NAME", os.getenv("CONTENT_BUCKET"))
-
-minio_client = Minio(
-    os.getenv("MINIO_ENDPOINT"),
-    access_key=os.getenv("MINIO_ACCESS_KEY"),
-    secret_key=os.getenv("MINIO_SECRET_KEY"),
-    secure=False
-)
-CONTENT_BUCKET = os.getenv("MINIO_BUCKET", os.getenv("S3_BUCKET_NAME", os.getenv("CONTENT_BUCKET")))
-DYNAMODB_TABLE = os.getenv("DYNAMODB_TABLE_NAME")
-storage_strategy = os.environ.get('STORAGE_STRATEGY')
-
-MONGODB_URL = os.getenv("MONGODB_URL")
-MONGODB_DB_NAME = os.getenv("MONGODB_DB_NAME")
-MONGODB_COLLECTION_NAME = os.getenv("MONGODB_COLLECTION_NAME", "rss_feeds")
-
-mongo_client = MongoClient(MONGODB_URL)
-feeds_collection = mongo_client[MONGODB_DB_NAME][MONGODB_COLLECTION_NAME]
-
-##### Article Storage #####
-def save_article(article: dict, strategy: str):
-    if strategy == "s3":
-        s3_save_article(article)
-    elif strategy == "qdrant":
-        if VECTOR_DB_AVAILABLE:
-            qdrant_save_article(article)
-        else:
-            logger.error("Qdrant storage requested but vector DB components not available")
-            raise ValueError("Vector DB components not available for Qdrant storage")
-    elif strategy == "both":
-        if VECTOR_DB_AVAILABLE:
-            qdrant_save_article(article)
-        s3_save_article(article)
-    else:
-        raise ValueError(f"Invalid storage strategy: {strategy}")
-    
-
-def qdrant_save_article(article: dict):
-    logger.info("Saving article to Qdrant")
-    index = get_index()
-
-    data = {
-        "id": article["article_id"],
-        "vector": vectorize(article["content"]),
-        "payload": {"rss": article.get("rss"), "title": article.get("title")},
-    }
-
-    upsert_vectors(index, [data])
-
-
-def s3_save_article(article:dict):
-    logger.info("Saving article to MinIO")
-
-    now = datetime.now()
-    article_id = article['article_id']
-    
-    if not article_id:
-        logger.error(f"Missing rss_id or article_id in article: {article}")
-        return
-
-    file_path = f"/tmp/{article_id}-article.json"
-    file_key = f"{now.year}/{now.month}/{now.day}/{article_id}.json"
-    
-    # Save article to /tmp json file
-    with open(file_path, "w") as f:
-        json.dump(article, f)
-
-    try:
-        metadata = {
-            "rss": article.get("rss", ""),
-            "title": article.get("title", ""),
-            "unixTime": str(article.get("unixTime", "")),
-            "article_id": article.get("article_id", ""),
-            "link": article.get("link", ""),
-            "rss_id": article.get("rss_id", "")
-        }
-        minio_client.fput_object(
-            CONTENT_BUCKET,
-            file_key,
-            file_path,
-            content_type="application/json",
-            metadata=metadata
-        )
-        logger.info(f"Saved article {article_id} to bucket {CONTENT_BUCKET}")
-        
-    except Exception as e:
-        logger.error(f"Failed to save article with error: {str(e)}. \n Article: {article} \n Article Type: {type(article)}")
-
-
-###### Feed Storage ######
-RSS_FEEDS_FILE = os.getenv("RSS_FEEDS_FILE", "rss_feeds.json")
-
-
-def update_rss_feed(feed: dict, last_pub_dt: int):
-    try:
-        if not os.path.exists(RSS_FEEDS_FILE):
-            return
-        with open(RSS_FEEDS_FILE, "r") as f:
-            feeds = json.load(f)
-        for item in feeds:
-            if item.get("u") == feed["u"]:
-                item["dt"] = int(last_pub_dt)
-        with open(RSS_FEEDS_FILE, "w") as f:
-            json.dump(feeds, f)
-        logger.info(f"Updated RSS feed {feed['u']} with dt: {last_pub_dt}")
-    except Exception as e:
-        logger.error(f"Failed to update RSS feed: {str(e)}")

src/infra/lambdas/RSSFeedProcessorLambda/src/exceptions.py

@@ -1,11 +0,0 @@
-class RSSProcessingError(Exception):
-    """Exception raised for errors in the RSS processing."""
-    pass
-
-class ArticleExtractionError(Exception):
-    """Exception raised for errors in the article extraction."""
-    pass
-
-class DataStorageError(Exception):
-    """Exception raised for errors in data storage operations."""
-    pass

src/infra/lambdas/RSSFeedProcessorLambda/src/feed_processor.py

@@ -1,133 +0,0 @@
-import feedparser
-from datetime import datetime
-from dateutil import parser
-import queue
-import threading
-import logging
-from .utils import generate_key
-from .article_extractor import extract_article
-from .article_cleaning import clean_text
-
-logger = logging.getLogger()
-
-def process_feed(feed: dict):
-    output_queue = queue.Queue()
-    stop_thread = threading.Event()
-    thread = threading.Thread(target=extract_feed_threading, args=(feed, output_queue, stop_thread))
-    thread.daemon = True
-    thread.start()
-    
-    logger.debug(f"Thread Started: {feed['u']}")
-    thread.join(timeout=90)
-    
-    if thread.is_alive():
-        stop_thread.set()
-        logger.debug(f"Killing Thread: {feed['u']}")
-        return None
-    else:
-        try:
-            output = output_queue.get_nowait()
-            logger.info(f"Thread Succeeded: {feed['u']}")
-            return output
-        except queue.Empty:
-            logger.info(f"Thread Failed: {feed['u']}")
-            return None
-        
-def extract_feed_threading(rss: dict, output_queue, stop_thread):
-    articles = []
-    feed_url = rss['u']
-    last_date = rss['dt']
-    max_date = last_date
-    entry = None  # Initialize entry variable
-
-    try:
-        feed = feedparser.parse(feed_url)
-        for entry in feed['entries']:
-            if stop_thread.is_set():
-                break
-            
-            pub_date = parse_pub_date(entry.get('published', ''))
-            
-            if pub_date > last_date:
-                title, text = extract_article(entry.link)
-                title, text = clean_text(title or ''), clean_text(text or '')
-                article = {
-                    'link': entry.link,
-                    'rss': feed_url,
-                    'title': title,
-                    'content': text,
-                    'unixTime': pub_date,
-                    'rss_id': generate_key(feed_url),
-                    'article_id': generate_key(entry.link),
-                    'llm_summary': None,
-                    'embedding': None
-                }
-                articles.append(article)
-                max_date = max(max_date, pub_date)
-
-        output = {
-            'articles': articles,
-            'max_date': max_date,
-            'feed': rss
-        }
-        output_queue.put(output)
-    except Exception as e:
-        logger.error(f"Feed URL: {feed_url}")
-        if entry:
-            logger.error(f"Current entry: {entry.get('link', 'unknown')}")
-        logger.error(f"Feed failed due to error: {e}")
-
-def extract_feed(rss: dict):
-    articles = []
-    feed_url = rss['u']
-    last_date = rss['dt']
-    max_date = last_date
-
-    try:
-        feed = feedparser.parse(feed_url)
-        for entry in feed['entries']:
-            pub_date = parse_pub_date(entry.get('published', ''))
-            
-            if pub_date > last_date:
-                title, text = extract_article(entry.link) 
-                article = {
-                    'link': entry.link,
-                    'rss': feed_url,
-                    'title': title,
-                    'content': text,
-                    'unixTime': pub_date,
-                    'rss_id': generate_key(feed_url),
-                    'article_id': generate_key(entry.link),
-                    'llm_summary': None,
-                    'embedding': None
-                }
-                articles.append(article)
-                max_date = max(max_date, pub_date)
-
-        output = {
-            'articles': articles,
-            'max_date': max_date,
-            'feed': rss
-        }
-        return output
-    except Exception as e:
-        logger.error(f"Feed URL: {feed_url}")
-        logger.error(f"Feed failed due to error: {e}")
-
-def parse_pub_date(date_string: str) -> int:
-    """Parse publication date from various formats"""
-    if not date_string:
-        return int(datetime.now().timestamp())
-        
-    try:
-        return int(datetime.strptime(date_string, "%a, %d %b %Y %H:%M:%S %z").timestamp())
-    except ValueError:
-        try:
-            return int(datetime.strptime(date_string, "%Y-%m-%dT%H:%M:%SZ").timestamp())
-        except ValueError:
-            try:
-                return int(parser.parse(date_string).timestamp())
-            except (ValueError, TypeError):
-                pass
-
-    return int(datetime.now().timestamp()) # Return current time if no date is found

src/infra/lambdas/RSSFeedProcessorLambda/src/lambda_function.py

@@ -1,65 +0,0 @@
-import json
-import time
-import os
-import redis
-from feed_processor import extract_feed
-from data_storage import save_article, update_rss_feed
-from utils import setup_logging
-from config import REDIS_URL, REDIS_QUEUE_NAME
-from exceptions import RSSProcessingError, DataStorageError
-from metrics import (
-    record_processed_articles,
-    record_processing_time,
-    record_extraction_errors,
-)
-
-logger = setup_logging()
-storage_strategy = os.environ.get("STORAGE_STRATEGY")
-redis_client = redis.Redis.from_url(REDIS_URL)
-
-
-def lambda_handler(event, context):
-    logger.info("Starting RSS feed processing")
-    start_time = time.time()
-
-    try:
-        feed_data = redis_client.rpop(REDIS_QUEUE_NAME)
-        if not feed_data:
-            logger.info("No messages in queue")
-            return {"statusCode": 200, "body": json.dumps("No feeds to process")}
-        feed = json.loads(feed_data)
-
-        result = extract_feed(feed)
-        logger.info(f"Process Feed Result Dictionary: {result}")
-        last_pub_dt = result["max_date"]
-
-        if result:
-            for article in result["articles"]:
-                try:
-                    save_article(article, storage_strategy)
-                except DataStorageError as e:
-                    logger.error(f"Failed to save article: {str(e)}")
-                    record_extraction_errors(1)
-
-            update_rss_feed(result["feed"], last_pub_dt)
-            logger.info(f"Processed feed: {feed['u']}")
-            record_processed_articles(len(result["articles"]))
-        else:
-            logger.warning(f"Failed to process feed: {feed['u']}")
-            record_extraction_errors(1)
-
-    except RSSProcessingError as e:
-        logger.error(f"RSS Processing Error: {str(e)}")
-        return {"statusCode": 500, "body": json.dumps("RSS processing failed")}
-
-    except Exception as e:
-        logger.error(f"Unexpected error: {str(e)}")
-        return {"statusCode": 500, "body": json.dumps("An unexpected error occurred")}
-
-    finally:
-        end_time = time.time()
-        processing_time = end_time - start_time
-        record_processing_time(processing_time)
-        logger.info(f"Lambda execution time: {processing_time:.2f} seconds")
-
-    return {"statusCode": 200, "body": json.dumps("RSS feed processed successfully")}

src/infra/lambdas/RSSFeedProcessorLambda/src/metrics.py

@@ -1,46 +0,0 @@
-"""Prometheus metrics utilities for the RSS feed processor."""
-
-import os
-from prometheus_client import Counter, Histogram, start_http_server
-
-
-# Start a Prometheus metrics HTTP server exposing ``/metrics``. The port can be
-# customised with the ``METRICS_PORT`` environment variable. This block is safe
-# to run multiple times as it silently ignores port binding errors.
-_metrics_port = int(os.environ.get("METRICS_PORT", "8000"))
-if not os.environ.get("METRICS_SERVER_STARTED"):
-    try:
-        start_http_server(_metrics_port)
-        os.environ["METRICS_SERVER_STARTED"] = "1"
-    except OSError:
-        pass
-
-
-# Metric definitions
-_processed_articles = Counter(
-    "processed_articles_total",
-    "Total number of processed articles",
-)
-_processing_time = Histogram(
-    "rss_processing_seconds",
-    "Time spent processing RSS feeds",
-)
-_extraction_errors = Counter(
-    "extraction_errors_total",
-    "Number of article extraction errors",
-)
-
-
-def record_processed_articles(count: int) -> None:
-    """Increment the processed articles counter."""
-    _processed_articles.inc(count)
-
-
-def record_processing_time(duration: float) -> None:
-    """Record how long a feed took to process."""
-    _processing_time.observe(duration)
-
-
-def record_extraction_errors(count: int) -> None:
-    """Increment the extraction errors counter."""
-    _extraction_errors.inc(count)

src/infra/lambdas/RSSFeedProcessorLambda/src/utils.py

@@ -1,18 +0,0 @@
-import logging
-import os
-import hashlib
-
-def setup_logging():
-    logger = logging.getLogger()
-    log_level = os.environ.get('LOG_LEVEL', 'INFO')
-    logger.setLevel(logging.getLevelName(log_level))
-    return logger
-
-
-def generate_key(input_string, length=10):
-    # Create a SHA256 hash of the input string
-    hash_object = hashlib.sha256(input_string.encode())
-    hex_dig = hash_object.hexdigest()
-    
-    # Return the first 'length' characters of the hash
-    return hex_dig[:length]

src/infra/lambdas/RSSQueueFiller/deploy_sqs_filler_lambda.py

@@ -1,81 +0,0 @@
-import os
-import zipfile
-import logging
-import boto3
-from dotenv import load_dotenv
-from src.infra.deploy_infrastructure import deploy_cloudformation
-
-# Load environment variables
-load_dotenv(override=True)
-
-# Set up logging
-
-logging.basicConfig(level=os.getenv('LOG_LEVEL'))
-
-
-# Set up S3 client
-s3 = boto3.client('s3')
-
-def zip_lambda_code():
-    lambda_dir = 'src/infra/lambdas/RSSQueueFiller/lambda'
-    zip_path = 'tmp/lambda_function.zip'
-    
-    os.makedirs(zip_path.split("/")[0], exist_ok=True)
-    
-    with zipfile.ZipFile(zip_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
-        for root, _, files in os.walk(lambda_dir):
-            for file in files:
-                file_path = os.path.join(root, file)
-                arcname = os.path.relpath(file_path, lambda_dir)
-                zipf.write(file_path, arcname)
-    
-    return zip_path
-
-def upload_to_s3(file_path):
-    s3_key = os.getenv('QUEUE_FILLER_LAMBDA_S3_KEY')
-    bucket_name = os.getenv('S3_LAMBDA_ZIPPED_BUCKET_NAME')
-    s3.upload_file(file_path, bucket_name, s3_key)
-    return f's3://{bucket_name}/{s3_key}'
-
-def deploy_sqs_filler():
-    zip_file = zip_lambda_code()
-    upload_to_s3(zip_file)
-    
-    # Deploy CloudFormation
-    deploy_cloudformation('rss_lambda_stack.yaml', 'LambdaSQSFiller',
-                          parameters=[
-                            {
-                                'ParameterKey': 'QueueFillerLambdaName',
-                                'ParameterValue': os.getenv('QUEUE_FILLER_LAMBDA_NAME')
-                            },
-                            {
-                                'ParameterKey': 'RedisUrl',
-                                'ParameterValue': os.getenv('REDIS_URL')
-                            },
-                            {
-                                'ParameterKey': 'RedisQueueName',
-                                'ParameterValue': os.getenv('REDIS_QUEUE_NAME')
-                            },
-                            {
-                                'ParameterKey': 'LambdaCodeS3Bucket',
-                                'ParameterValue': os.getenv('S3_LAMBDA_ZIPPED_BUCKET_NAME')
-                            },
-                            {
-                                'ParameterKey': 'LambdaCodeS3Key',
-                                'ParameterValue': os.getenv('QUEUE_FILLER_LAMBDA_S3_KEY')
-                            },
-                            { 
-                                'ParameterKey': 'LambdaRuntime',
-                                'ParameterValue': os.getenv('LAMBDA_RUNTIME')
-                            },
-                            {
-                                'ParameterKey': 'LambdaTimeout',
-                                'ParameterValue': os.getenv('LAMBDA_TIMEOUT')
-                            }
-                          ])
-    
-    # Clean up local zip file
-    os.remove(zip_file)
-
-if __name__ == "__main__":
-    deploy_sqs_filler()

src/infra/lambdas/RSSQueueFiller/lambda/lambda_function.py

@@ -1,76 +0,0 @@
-import json
-import os
-import logging
-import boto3
-from decimal import Decimal
-from pymongo import MongoClient
-from datetime import datetime
-import redis
-
-logger = logging.getLogger()
-logger.setLevel(logging.INFO)
-
-# For AWS deployment - SQS
-try:
-    sqs = boto3.client('sqs')
-    SQS_QUEUE_URL = os.environ.get('SQS_QUEUE_URL', '')
-    AWS_DEPLOYMENT = bool(SQS_QUEUE_URL)
-except Exception:
-    AWS_DEPLOYMENT = False
-
-# For local deployment - Redis
-if not AWS_DEPLOYMENT:
-    redis_client = redis.Redis.from_url(os.environ.get('REDIS_URL', 'redis://localhost:6379'))
-    REDIS_QUEUE_NAME = os.environ.get('REDIS_QUEUE_NAME', 'rss-feed-queue')
-
-MONGODB_URL = os.environ['MONGODB_URL']
-MONGODB_DB_NAME = os.environ['MONGODB_DB_NAME']
-MONGODB_COLLECTION_NAME = os.environ.get('MONGODB_COLLECTION_NAME', 'rss_feeds')
-
-mongo_client = MongoClient(MONGODB_URL)
-feeds_collection = mongo_client[MONGODB_DB_NAME][MONGODB_COLLECTION_NAME]
-
-class DecimalEncoder(json.JSONEncoder):
-    def default(self, obj):
-        if isinstance(obj, Decimal):
-            return int(obj)
-        return super(DecimalEncoder, self).default(obj)
-
-def handler(event, context):
-    messages_sent = 0
-
-    # Iterate over all feeds in MongoDB
-    for item in feeds_collection.find({}):
-        rss_url = item.get('url')
-        rss_dt = item.get('dt')
-
-        logger.debug(f"Processing RSS feed: {rss_url}")
-        logger.debug(f"Last published date: {rss_dt}")
-        
-        if rss_url:
-            message = {
-                'u': rss_url,
-                'dt': rss_dt
-            }
-            logger.debug(f"Message: {message}")
-            
-            try:
-                if AWS_DEPLOYMENT:
-                    # Send to SQS for AWS deployment
-                    sqs.send_message(
-                        QueueUrl=SQS_QUEUE_URL,
-                        MessageBody=json.dumps(message, cls=DecimalEncoder)
-                    )
-                else:
-                    # Send to Redis for local deployment
-                    redis_client.lpush(REDIS_QUEUE_NAME, json.dumps(message, cls=DecimalEncoder))
-                messages_sent += 1
-            except Exception as e:
-                logger.error(f"Error sending message to queue: {str(e)}")
-
-    logger.info(f"Sent {messages_sent} messages to queue at {datetime.now().isoformat()}")
-
-    return {
-        "statusCode": 200,
-        "body": json.dumps(f"Sent {messages_sent} RSS URLs to queue"),
-    }

src/infra/lambdas/lambda_utils/lambda_layer/lambda_layer_cloud9.sh

@@ -1,117 +0,0 @@
-#!/bin/bash
-
-set -e
-
-####### Section 1: Checking Python Existence ########
-echo "Section 1: Checking Python Existence"
-
-# Ensure python3.12 is installed
-if ! command -v python3.12 &> /dev/null; then
-    echo "Python 3.12 is not installed. Please install it before running this script."
-    exit 1
-fi
-echo "Python 3.12 found. Proceeding..."
-
-####### Section 2: Installing Dependencies ########
-echo "Section 2: Installing Dependencies"
-
-# Install dependencies
-python3.12 -m pip install --upgrade Pillow feedfinder2==0.0.4 python-dateutil newspaper3k==0.2.8 feedparser lxml[html5lib] lxml_html_clean lxml[html_clean] qdrant-client ollama -t python/
-echo "Dependencies installed successfully."
-
-####### Section 3: Creating ZIP File ########
-echo "Section 3: Creating ZIP File"
-
-# Create ZIP file
-zip -r OpenRSSLambdaLayer.zip python/
-echo "ZIP file created."
-
-# Check if ZIP file was created and is not empty
-if [ ! -s OpenRSSLambdaLayer.zip ]; then
-    echo "Error: ZIP file is empty or was not created."
-    exit 1
-fi
-echo "ZIP file check passed."
-
-####### Section 4: Getting AWS Regions ########
-echo "Section 4: Getting AWS Regions"
-
-# Get list of all AWS regions
-REGIONS=$(aws ec2 describe-regions --query 'Regions[].RegionName' --output text)
-echo "Retrieved AWS regions: $REGIONS"
-
-####### Section 5: Creating Buckets, Uploading, and Publishing Layer ########
-echo "Section 5: Creating Buckets, Uploading, and Publishing Layer"
-
-create_bucket_upload_and_publish_layer() {
-    local region=$1
-    local bucket_name="rss-feed-processor-layers-$region"
-    local layer_name="ingest-rss-lambda-layer-$region"
-    
-    echo "Processing region: $region"
-    
-    # Create bucket if it doesn't exist
-    if ! aws s3api head-bucket --bucket "$bucket_name" --region "$region" 2>/dev/null; then
-        echo "Creating bucket $bucket_name in $region"
-        if [ "$region" == "us-east-1" ]; then
-            aws s3api create-bucket --bucket "$bucket_name" --region "$region"
-        else
-            aws s3api create-bucket --bucket "$bucket_name" --region "$region" --create-bucket-configuration LocationConstraint=$region
-        fi
-    else
-        echo "Bucket $bucket_name already exists in $region"
-    fi
-    
-    # Upload ZIP to the region-specific bucket
-    echo "Uploading ZIP to $bucket_name"
-    aws s3 cp OpenRSSLambdaLayer.zip "s3://$bucket_name/" --region "$region"
-    
-    # Create and publish Lambda layer
-    echo "Creating Lambda layer in region: $region"
-    LAYER_VERSION=$(aws lambda publish-layer-version \
-        --region "$region" \
-        --layer-name $layer_name \
-        --description "Layer with dependencies for RSS processing" \
-        --license-info "MIT" \
-        --content "S3Bucket=$bucket_name,S3Key=OpenRSSLambdaLayer.zip" \
-        --compatible-runtimes python3.12 \
-        --query 'Version' \
-        --output text
-    )
-
-    if [ -z "$LAYER_VERSION" ]; then
-        echo "Failed to create Lambda layer in region $region."
-        return 1
-    fi
-
-    echo "Making layer public in region: $region"
-    aws lambda add-layer-version-permission \
-        --region "$region" \
-        --layer-name $layer_name \
-        --version-number "$LAYER_VERSION" \
-        --statement-id public \
-        --action lambda:GetLayerVersion \
-        --principal '*'
-
-    ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)
-    ARN="arn:aws:lambda:${region}:${ACCOUNT_ID}:layer:$layer_name:${LAYER_VERSION}"
-    echo "Layer ARN for region $region: $ARN"
-    echo "$region:$ARN" >> layer_arns.txt
-}
-
-# Process all regions
-for region in $REGIONS; do
-    if create_bucket_upload_and_publish_layer "$region"; then
-        echo "Successfully processed region: $region"
-    else
-        echo "Failed to process region: $region. Continuing with next region..."
-    fi
-done
-
-####### Section 6: Completion ########
-echo "Section 6: Completion"
-
-echo "Setup complete! OpenRSSLambdaLayer is now available in all processed regions."
-echo "Layer ARNs have been saved to layer_arns.txt"
-
-echo "Script execution completed successfully."

src/infra/lambdas/lambda_utils/update_lambda_env_vars.py

@@ -1,69 +0,0 @@
-import boto3
-import os
-from src.utils.retry_logic import retry_with_backoff
-
-# Set variables
-LAMBDA_NAME = "RSSFeedProcessor"
-
-@retry_with_backoff()
-def update_env_vars(function_name):
-    lambda_client = boto3.client('lambda')
-
-    env_vars = {
-        
-        # Lambda Configuration
-        'LAMBDA_FUNCTION_NAME': os.environ.get('LAMBDA_FUNCTION_NAME'),
-        'STACK_BASE': os.environ.get('STACK_BASE'),
-        'LAMBDA_EXECUTION_ROLE_NAME': os.environ.get('LAMBDA_EXECUTION_ROLE_NAME'),
-        'LAMBDA_ROLE_ARN': os.environ.get('LAMBDA_ROLE_ARN'),
-        'LAMBDA_LAYER_VERSION': os.environ.get('LAMBDA_LAYER_VERSION'),
-        'LAMBDA_LAYER_NAME': os.environ.get('LAMBDA_LAYER_NAME'),
-        'LAMBDA_LAYER_ARN': os.environ.get('LAMBDA_LAYER_ARN'),
-        'LAMBDA_RUNTIME': os.environ.get('LAMBDA_RUNTIME'),
-        'LAMBDA_TIMEOUT': os.environ.get('LAMBDA_TIMEOUT', '300'),  # Reasonable default timeout
-        'LAMBDA_MEMORY': os.environ.get('LAMBDA_MEMORY', '512'),  # Reasonable default memory
-        
-        # S3 Configuration
-        'S3_BUCKET_NAME': os.environ.get('S3_BUCKET_NAME'),
-        'S3_LAMBDA_ZIPPED_BUCKET_NAME': os.environ.get('S3_LAMBDA_ZIPPED_BUCKET_NAME'),
-        'S3_LAYER_BUCKET_NAME': os.environ.get('S3_LAYER_BUCKET_NAME'),
-        'S3_LAYER_KEY_NAME': os.environ.get('S3_LAYER_KEY_NAME'),
-
-        # Redis Configuration
-        'REDIS_URL': os.environ.get('REDIS_URL'),
-        'REDIS_QUEUE_NAME': os.environ.get('REDIS_QUEUE_NAME'),
-        
-        # Queue Filler Lambda Configuration
-        'QUEUE_FILLER_LAMBDA_NAME': os.environ.get('QUEUE_FILLER_LAMBDA_NAME'),
-        'QUEUE_FILLER_LAMBDA_S3_KEY': os.environ.get('QUEUE_FILLER_LAMBDA_S3_KEY'),
-        
-        # Python Configuration
-        'PYTHON_VERSION': os.environ.get('PYTHON_VERSION', '3.12'),  # Default Python version
-        
-        # Application Settings
-        'APP_NAME': os.environ.get('APP_NAME', 'RSS Feed Processor'),  # Default app name is fine
-        'VERSION': os.environ.get('VERSION', '1.0.0'),  # Default version is fine
-        'LOG_LEVEL': os.environ.get('LOG_LEVEL', 'INFO'),  # Default to INFO logging
-        
-        # Storage Configuration
-        'STORAGE_STRATEGY': os.environ.get('STORAGE_STRATEGY', 's3'),  # Default to s3 storage
-        
-        # Qdrant Configuration (only used if STORAGE_STRATEGY is 'qdrant')
-        'QDRANT_URL': os.environ.get('QDRANT_URL'),
-        'QDRANT_API_KEY': os.environ.get('QDRANT_API_KEY'),
-        'QDRANT_COLLECTION_NAME': os.environ.get('QDRANT_COLLECTION_NAME'),
-        
-        # Vector Configuration
-        'VECTOR_EMBEDDING_MODEL': os.environ.get('VECTOR_EMBEDDING_MODEL'),
-        'VECTOR_EMBEDDING_DIM': os.environ.get('VECTOR_EMBEDDING_DIM'),
-        'VECTOR_SEARCH_METRIC': os.environ.get('VECTOR_SEARCH_METRIC'),
-        
-        # Ollama Configuration
-        'OLLAMA_HOST': os.environ.get('OLLAMA_HOST'),
-        'OLLAMA_EMBEDDING_MODEL': os.environ.get('OLLAMA_EMBEDDING_MODEL'),
-    }
-    
-    return lambda_client.update_function_configuration(
-        FunctionName=LAMBDA_NAME,
-        Environment={'Variables': env_vars}
-    )

src/launch/launch_env.py

@@ -33,54 +33,16 @@ def main():
     
     # Determine if we're in advanced mode
     advanced_mode = not Confirm.ask("Do you want to use basic mode? \n( We recommend basic for your first time ) ")
-    
-    # AWS Configuration
-    
-    
-    env_vars["AWS_ACCOUNT_ID"] = get_env_value("AWS_ACCOUNT_ID", "Enter AWS Account ID:") # Could we grab this for the user instead.
-    
-    # AWS Credentials
-    if not check_aws_region():
-        console.print("AWS region not found in environment variables.")
-        env_vars["AWS_REGION"] = get_env_value("AWS_REGION", "Enter AWS Region:", options=get_aws_regions())
-    else:
-        env_vars["AWS_REGION"] = os.environ.get('AWS_REGION')
 
-    if not check_aws_credentials():
+    # MongoDB and Redis Configuration
-        console.print("AWS credentials not found in environment variables.")
+    env_vars["MONGODB_URL"] = get_env_value("MONGODB_URL", "Enter MongoDB URL:", options=["mongodb://localhost:27017"], advanced=advanced_mode)
-        if Confirm.ask("Do you want to set AWS credentials?"):
+    env_vars["MONGODB_ARTICLES_DB_NAME"] = get_env_value("MONGODB_ARTICLES_DB_NAME", "Enter MongoDB Articles DB Name:", options=["articles_db"], advanced=advanced_mode)
-            env_vars["AWS_ACCESS_KEY_ID"] = get_env_value("AWS_ACCESS_KEY_ID", "Enter AWS Access Key ID:")
+    env_vars["MONGODB_ARTICLES_COLLECTION_NAME"] = get_env_value("MONGODB_ARTICLES_COLLECTION_NAME", "Enter MongoDB Articles Collection Name:", options=["articles"], advanced=advanced_mode)
-            env_vars["AWS_SECRET_ACCESS_KEY"] = get_env_value("AWS_SECRET_ACCESS_KEY", "Enter AWS Secret Access Key:")
+    env_vars["MONGODB_FEEDS_DB_NAME"] = get_env_value("MONGODB_FEEDS_DB_NAME", "Enter MongoDB Feeds DB Name:", options=["feeds_db"], advanced=advanced_mode)
-    else:
+    env_vars["MONGODB_FEEDS_COLLECTION_NAME"] = get_env_value("MONGODB_FEEDS_COLLECTION_NAME", "Enter MongoDB Feeds Collection Name:", options=["rss_feeds"], advanced=advanced_mode)
-        env_vars["AWS_ACCESS_KEY_ID"] = os.environ.get('AWS_ACCESS_KEY_ID')
-        env_vars["AWS_SECRET_ACCESS_KEY"] = os.environ.get('AWS_SECRET_ACCESS_KEY')
-        console.print("AWS credentials found in environment variables.")
-    
-    # Resource Names
-    env_vars["LAMBDA_FUNCTION_NAME"] = get_env_value("LAMBDA_FUNCTION_NAME", "Enter Lambda Function Name:", options=["RSSFeedProcessor", "CustomRSSProcessor"], advanced=advanced_mode)
-    env_vars["STACK_BASE"] = env_vars["LAMBDA_FUNCTION_NAME"]
-    env_vars["LAMBDA_EXECUTION_ROLE_NAME"] = f"rss-feed-processor-role-{env_vars['AWS_REGION']}"
-    env_vars["LAMBDA_ROLE_ARN"] = f"arn:aws:iam::{env_vars['AWS_ACCOUNT_ID']}:role/{env_vars['LAMBDA_EXECUTION_ROLE_NAME']}"
-    env_vars["S3_BUCKET_NAME"] = f"open-rss-articles-{env_vars['AWS_REGION']}"
     env_vars["REDIS_URL"] = get_env_value("REDIS_URL", "Enter Redis URL:", options=["redis://localhost:6379"], advanced=advanced_mode)
     env_vars["REDIS_QUEUE_NAME"] = get_env_value("REDIS_QUEUE_NAME", "Enter Redis Queue Name:", options=["rss-feed-queue"], advanced=advanced_mode)
     
-    # Advanced Configuration
-    env_vars["LAMBDA_LAYER_VERSION"] = 3
-    env_vars["LAMBDA_LAYER_NAME"] = f"ingest-rss-lambda-layer-{env_vars['AWS_REGION']}"
-    env_vars["LAMBDA_LAYER_ARN"] = f"arn:aws:lambda:{env_vars['AWS_REGION']}:{env_vars['AWS_ACCOUNT_ID']}:layer:{env_vars['LAMBDA_LAYER_NAME']}:{env_vars['LAMBDA_LAYER_VERSION']}"
-    env_vars["S3_LAYER_BUCKET_NAME"] = f"rss-feed-processor-layers-{env_vars['AWS_REGION']}"
-    env_vars["S3_LAMBDA_ZIPPED_BUCKET_NAME"] = f"open-rss-lambda-{env_vars['AWS_REGION']}"
-    env_vars["S3_LAYER_KEY_NAME"] = get_env_value("S3_LAYER_KEY_NAME", "Enter S3 Layer Key Name:", options=["RSSFeedProcessorDependencies", "CustomDependencies"], advanced=advanced_mode)
-    
-    env_vars["PYTHON_VERSION"] = get_env_value("PYTHON_VERSION", "Enter Python Version:", options=["3.8", "3.9", "3.10", "3.11", "3.12"], advanced=advanced_mode)
-    env_vars["LAMBDA_RUNTIME"] = f"python{env_vars['PYTHON_VERSION']}"
-    env_vars["LAMBDA_TIMEOUT"] = get_env_value("LAMBDA_TIMEOUT", "Enter Lambda Timeout (in seconds):", options=["60", "120", "300"], advanced=advanced_mode)
-    env_vars["LAMBDA_MEMORY"] = get_env_value("LAMBDA_MEMORY", "Enter Lambda Memory (in MB):", options=["128", "256", "512", "1024"], advanced=advanced_mode)
-    
-    env_vars["QUEUE_FILLER_LAMBDA_NAME"] = get_env_value("QUEUE_FILLER_LAMBDA_NAME", "Enter Queue Filler Lambda Name:", options=["RSSQueueFiller", "CustomQueueFiller"], advanced=advanced_mode)
-    env_vars["QUEUE_FILLER_LAMBDA_S3_KEY"] = get_env_value("QUEUE_FILLER_LAMBDA_S3_KEY", "Enter Queue Filler Lambda S3 Key:", options=["RSSQueueFiller.zip", "CustomQueueFiller.zip"], advanced=advanced_mode)
-    
     # Logging Configuration
     env_vars["LOG_LEVEL"] = get_env_value("LOG_LEVEL", "Enter Log Level:", options=["DEBUG", "INFO", "WARNING", "ERROR"], advanced=advanced_mode)
     
@@ -90,7 +52,7 @@ def main():
     env_vars["TEST"] = get_env_value("TEST", "Enter Test Value:", options=["0", "1"], advanced=advanced_mode)
     
     # Storage Strategy
-    env_vars["STORAGE_STRATEGY"] = get_env_value("STORAGE_STRATEGY", "Choose Storage Strategy:", options=["s3", "qdrant"], advanced=advanced_mode)
+    env_vars["STORAGE_STRATEGY"] = "mongodb"
 
     # Qdrant Configuration (only if qdrant is selected)
     if env_vars["STORAGE_STRATEGY"] == "qdrant":

src/search/batch/__init__.py

@@ -1,3 +1,3 @@
-from .downloader import S3BatchDownloader
+from .downloader import MongoDBBatchDownloader
 
-__all__ = ['S3BatchDownloader']
+__all__ = ['MongoDBBatchDownloader']

src/search/batch/downloader.py

@@ -1,170 +1,62 @@
-from minio import Minio
 import pandas as pd
-from typing import Optional, List, Dict, Union, Any
+from typing import Optional, List, Dict, Any
-import json
 import os
-from concurrent.futures import ThreadPoolExecutor, as_completed
-from datetime import datetime, timezone
 import logging
-from string import Template
+from pymongo import MongoClient
 from tqdm import tqdm
+from datetime import datetime
 
-class S3BatchDownloader:
+class MongoDBBatchDownloader:
-    """Class for batch downloading RSS articles from a MinIO bucket"""
+    """Class for batch downloading RSS articles from a MongoDB collection"""
-    
+
-    DEFAULT_CONFIG = {
+    def __init__(self, mongo_url: str, db_name: str, collection_name: str):
-        "region": "${AWS_REGION}",
-        "bucket": "${RSS_BUCKET_NAME}",
-        "prefix": "${RSS_PREFIX}",
-        "max_workers": os.cpu_count() or 10
-    }
-    
-    def __init__(self, config_path: Optional[str] = None):
-        """
-        Initialize the S3BatchDownloader
-        
-        Args:
-            config_path: Optional path to config file. If None, uses environment variables.
-        """
         self.logger = logging.getLogger(__name__)
-        self.config = self._load_config(config_path)
+        self.mongo_url = mongo_url
-        self._validate_config()
+        self.db_name = db_name
-        
+        self.collection_name = collection_name
-        self.s3 = Minio(
+        self.client = MongoClient(self.mongo_url)
-            os.getenv('MINIO_ENDPOINT'),
+        self.collection = self.client[self.db_name][self.collection_name]
-            access_key=os.getenv('MINIO_ACCESS_KEY'),
+        self.logger.info(f"Initialized MongoDBBatchDownloader for collection: {self.collection_name}")
-            secret_key=os.getenv('MINIO_SECRET_KEY'),
+
-            secure=False
-        )
-        self.logger.info(
-            f"Initialized S3BatchDownloader for bucket: {self.config['bucket']}"
-        )
-    
-    def _load_config(self, config_path: Optional[str]) -> Dict[str, Any]:
-        """Load and process configuration"""
-        if config_path and os.path.exists(config_path):
-            with open(config_path) as f:
-                template = Template(f.read())
-        else:
-            template = Template(json.dumps(self.DEFAULT_CONFIG))
-            
-        env_vars = {
-            'AWS_REGION': os.getenv('AWS_REGION', 'us-east-1'),
-            'RSS_BUCKET_NAME': os.getenv('MINIO_BUCKET')
-        }
-        
-        config_str = template.safe_substitute(env_vars)
-        
-        try:
-            config = json.loads(config_str)
-            config['max_workers'] = int(config.get('max_workers', 10))
-            return config
-        except json.JSONDecodeError as e:
-            raise ValueError(f"Invalid JSON config after variable substitution: {str(e)}")
-    
-    def _validate_config(self) -> None:
-        """Validate the configuration"""
-        required_fields = ['region', 'bucket', 'prefix']
-        missing_fields = [field for field in required_fields if field not in self.config]
-        if missing_fields:
-            raise ValueError(f"Missing required config fields: {', '.join(missing_fields)}")
-    
     def download_to_file(self, 
                         output_path: str,
                         file_format: str = 'csv',
                         start_date: Optional[str] = None,
                         end_date: Optional[str] = None) -> str:
         """
-        Download articles from MinIO to a consolidated file
+        Download articles from MongoDB to a consolidated file
-        
         Args:
             output_path: Path to save the output file.
             file_format: Format to save the file ('csv' or 'json').
-            start_date: Optional start date filter (YYYY-MM-DD).
+            start_date: Optional start date filter (YYYY-MM-DD, expects 'unixTime' field in article).
             end_date: Optional end date filter (YYYY-MM-DD).
-            
         Returns:
             Path to the saved file.
         """
         self.logger.info(f"Starting batch download to {output_path}")
-
+        query = {}
-        # Convert date strings to UTC datetime
+        if start_date or end_date:
-        start_ts = datetime.strptime(start_date, '%Y-%m-%d').replace(tzinfo=timezone.utc) if start_date else None
+            date_query = {}
-        end_ts = datetime.strptime(end_date, '%Y-%m-%d').replace(tzinfo=timezone.utc) if end_date else None
+            if start_date:
-
+                start_ts = int(datetime.strptime(start_date, '%Y-%m-%d').timestamp())
-        # List and filter objects
+                date_query['$gte'] = start_ts
-        objects = self._list_objects()
+            if end_date:
-
+                end_ts = int(datetime.strptime(end_date, '%Y-%m-%d').timestamp())
-        if start_ts or end_ts:
+                date_query['$lte'] = end_ts
-            objects = [
+            query['unixTime'] = date_query
-                obj for obj in objects
+        articles = list(self.collection.find(query))
-                if self._is_in_date_range(obj['LastModified'], start_ts, end_ts)
+        self.logger.info(f"Found {len(articles)} articles to process")
-            ]
+        print(f"Found {len(articles)} articles to process")
-        self.logger.info(f"Found {len(objects)} objects to process")
+        # Remove MongoDB _id field for export
-        print(f"Found {len(objects)} objects to process")
+        for article in articles:
-
+            article.pop('_id', None)
-        # Download and merge data
-        all_data = []
-        with ThreadPoolExecutor(max_workers=self.config['max_workers']) as executor, tqdm(total=len(objects), unit="object") as progress_bar:
-            future_to_obj = {executor.submit(self._download_object, obj): obj for obj in objects}
-            for future in as_completed(future_to_obj):
-                result = future.result()
-                if result is not None:
-                    all_data.extend(result if isinstance(result, list) else [result])
-                progress_bar.update(1)
-
         # Save to file
-        self._save_to_file(all_data, output_path, file_format)
+        df = pd.DataFrame(articles)
-        self.logger.info(f"Successfully downloaded {len(all_data)} articles to {output_path}")
-        return output_path
-
-    def _list_objects(self) -> List[Dict]:
-        """List objects in bucket"""
-        objects = []
-        try:
-            for obj in self.s3.list_objects(
-                self.config['bucket'],
-                prefix=self.config['prefix'],
-                recursive=True
-            ):
-                objects.append({
-                    'Key': obj.object_name,
-                    'LastModified': obj.last_modified
-                })
-            return objects
-        except Exception as e:
-            self.logger.error(f"Error listing objects: {str(e)}")
-            raise
-    
-    def _download_object(self, obj: Dict) -> Optional[Union[Dict, List[Dict]]]:
-        """Download and parse single object"""
-        try:
-            response = self.s3.get_object(self.config['bucket'], obj['Key'])
-            content = response.read().decode('utf-8')
-            data = json.loads(content)
-            stat = self.s3.stat_object(self.config['bucket'], obj['Key'])
-            metadata = stat.metadata
-            if isinstance(data, dict):
-                data.update(metadata)
-                return [data]
-            elif isinstance(data, list):
-                for item in data:
-                    item.update(metadata)
-                return data
-        except Exception as e:
-            self.logger.error(f"Error downloading {obj['Key']}: {str(e)}")
-            return None
-    
-    def _is_in_date_range(self, ts: datetime, start: Optional[datetime], end: Optional[datetime]) -> bool:
-        """Check if timestamp is within the date range"""
-        return (not start or ts >= start) and (not end or ts <= end)
-    
-    def _save_to_file(self, data: List[Dict], output_path: str, file_format: str) -> None:
-        """Save data to file"""
-        df = pd.DataFrame(data)
         if file_format == 'csv':
             df.to_csv(output_path, index=False)
         elif file_format == 'json':
             df.to_json(output_path, orient='records', lines=True)
         else:
             raise ValueError(f"Unsupported file format: {file_format}")
+        self.logger.info(f"Successfully downloaded {len(articles)} articles to {output_path}")
+        return output_path

src/utils/check_env.py

@@ -6,40 +6,17 @@ from typing import List, Dict
 def check_env() -> None:
     # Variables that must be set by the user
     required_user_vars = [
-        "AWS_REGION",
+        "MONGODB_URL",
-        "AWS_ACCOUNT_ID",
+        "MONGODB_ARTICLES_DB_NAME",
-        "AWS_ACCESS_KEY_ID",
+        "MONGODB_ARTICLES_COLLECTION_NAME",
-        "AWS_SECRET_ACCESS_KEY",
+        "MONGODB_FEEDS_DB_NAME",
-        "MINIO_ENDPOINT",
+        "MONGODB_FEEDS_COLLECTION_NAME",
-        "MINIO_ACCESS_KEY",
+        "REDIS_URL",
-        "MINIO_SECRET_KEY",
+        "REDIS_QUEUE_NAME"
-        "MINIO_BUCKET"
     ]
 
     # Variables that are derived or have default values
     derived_vars = [
-        "AWS_DEFAULT_REGION",
-        "LAMBDA_FUNCTION_NAME",
-        "STACK_BASE",
-        "LAMBDA_EXECUTION_ROLE_NAME",
-        "LAMBDA_ROLE_ARN",
-        "S3_BUCKET_NAME",
-        "REDIS_URL",
-        "REDIS_QUEUE_NAME",
-        "LAMBDA_LAYER_VERSION",
-        "LAMBDA_LAYER_NAME",
-        "LAMBDA_LAYER_ARN",
-        "S3_LAYER_BUCKET_NAME",
-        "S3_LAYER_KEY_NAME",
-        "PYTHON_VERSION",
-        "LAMBDA_RUNTIME",
-        "LAMBDA_TIMEOUT",
-        "LAMBDA_MEMORY",
-        "MONGODB_URL",
-        "MONGODB_DB_NAME",
-        "MONGODB_COLLECTION_NAME",
-        "QUEUE_FILLER_LAMBDA_NAME",
-        "QUEUE_FILLER_LAMBDA_S3_KEY",
         "LOG_LEVEL",
         "APP_NAME",
         "VERSION",