Merge pull request #7 from decodingml/module-3

Module 3

.gitignore

@@ -157,3 +157,6 @@ cython_debug/
 # IDEs
 .idea/
 .vscode
+
+# MacOS
+.DS_Store

course/module-1/main.py

@@ -17,7 +17,7 @@
 
 def handler(event, context: LambdaContext) -> dict[str, Any]:
     first_name, last_name = lib.user_to_names(event.get("user"))
-    
+
     user = UserDocument.get_or_create(first_name=first_name, last_name=last_name)
 
     link = event.get("link")

course/module-2/cdc.py

@@ -7,7 +7,9 @@
 from db.mongo import MongoDatabaseConnector
 
 # Configure logging
-logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
 
 
 def stream_process():

course/module-2/data_flow/mq.py

@@ -9,7 +9,12 @@ class RabbitMQConnection:
     _instance = None
 
     def __new__(
-        cls, host: str = None, port: int = None, username: str = None, password: str = None, virtual_host: str = "/"
+        cls,
+        host: str = None,
+        port: int = None,
+        username: str = None,
+        password: str = None,
+        virtual_host: str = "/",
     ):
         if not cls._instance:
             cls._instance = super().__new__(cls)
@@ -45,7 +50,10 @@ def connect(self):
             credentials = pika.PlainCredentials(self.username, self.password)
             self._connection = pika.BlockingConnection(
                 pika.ConnectionParameters(
-                    host=self.host, port=self.port, virtual_host=self.virtual_host, credentials=credentials
+                    host=self.host,
+                    port=self.port,
+                    virtual_host=self.virtual_host,
+                    credentials=credentials,
                 )
             )
         except pika.exceptions.AMQPConnectionError as e:

course/module-2/db/mongo.py

@@ -18,7 +18,9 @@ def __new__(cls, *args, **kwargs):
                 print(f"Couldn't connect to the database: {str(e)}")
                 raise
 
-        print(f"Connection to database with uri: {settings.MONGO_DATABASE_HOST} successful")
+        print(
+            f"Connection to database with uri: {settings.MONGO_DATABASE_HOST} successful"
+        )
         return cls._instance
 
     def get_database(self):

course/module-2/settings.py

@@ -2,7 +2,6 @@
 
 
 class AppSettings(BaseSettings):
-
     # MongoDB configs
     MONGO_DATABASE_HOST: str = "mongodb://localhost:30001,localhost:30002,localhost:30003/?replicaSet=my-replica-set"
     MONGO_DATABASE_NAME: str = "admin"

course/module-3/.env.example

@@ -0,0 +1,21 @@
+EMBEDDING_MODEL_ID="sentence-transformers/all-MiniLM-L6-v2"
+EMBEDDING_MODEL_MAX_INPUT_LENGTH=256
+EMBEDDING_SIZE=384
+EMBEDDING_MODEL_DEVICE="cpu"
+
+# MongoDB configs
+MONGO_DATABASE_HOST="mongodb://localhost:30001,localhost:30002,localhost:30003/?replicaSet=my-replica-set"
+MONGO_DATABASE_NAME="scrabble"
+
+# QdrantDB config
+QDRANT_DATABASE_HOST="localhost"
+QDRANT_DATABASE_PORT=6333
+CLEANED_DATA_OUTPUT_COLLECTION_NAME="cleaned_posts"
+QDRANT_APIKEY=
+
+# MQ config
+RABBITMQ_DEFAULT_USERNAME="guest"
+RABBITMQ_DEFAULT_PASSWORD="guest"
+RABBITMQ_HOST="localhost"
+RABBITMQ_PORT= 5673
+

course/module-3/.gitignore

@@ -0,0 +1,161 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+data/
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+.idea/

course/module-3/Makefile

@@ -0,0 +1,17 @@
+help:
+	@grep -E '^[a-zA-Z0-9 -]+:.*#'  Makefile | sort | while read -r l; do printf "\033[1;32m$$(echo $$l | cut -f 1 -d':')\033[00m:$$(echo $$l | cut -f 2- -d'#')\n"; done
+
+local-start-infra: # Buil and start mongodb, mq and qdrant.
+	docker-compose -f docker-compose.yml up --build -d
+
+local-stop-infra: # Stop mongodb, mq and qdrant.
+	docker-compose -f docker-compose.yml down
+
+local-start-cdc: # Start CDC system
+	poetry run python cdc.py
+
+local-insert-data-mongo: #Insert data to mongodb
+	poetry run python insert_data_mongo.py
+
+local-bytewax: # Run bytewax pipeline
+	poetry run python -m bytewax.run data_flow/bytewax_pipeline     

course/module-3/README.md

@@ -0,0 +1 @@
+TBD

course/module-3/cdc.py

@@ -0,0 +1,33 @@
+import json
+
+from bson import json_util
+
+from data_flow.mq import RabbitMQConnection
+from db.mongo import MongoDatabaseConnector
+
+
+def stream_process():
+    mq_connection = RabbitMQConnection()
+    mq_connection.connect()
+
+    client = MongoDatabaseConnector()
+
+    db = client["scrabble"]
+
+    changes = db.watch(
+        [{"$match": {"operationType": {"$in": ["insert"]}}}]
+    )  # Filter for inserts only
+    for change in changes:
+        data_type = change["ns"]["coll"]
+        entry_id = str(change["fullDocument"]["_id"])  # Convert ObjectId to string
+        change["fullDocument"].pop("_id")
+        change["fullDocument"]["type"] = data_type
+        change["fullDocument"]["entry_id"] = entry_id
+
+        # Use json_util to serialize the document
+        data = json.dumps(change["fullDocument"], default=json_util.default)
+        mq_connection.publish_message(data=data, queue="mongo_data")
+
+
+if __name__ == "__main__":
+    stream_process()

course/module-3/data_flow/bytewax_pipeline.py

@@ -0,0 +1,30 @@
+import bytewax.operators as op
+from bytewax.dataflow import Dataflow
+from data_flow.stream_input import RabbitMQSource
+from data_flow.stream_output import QdrantOutput
+from data_logic.dispatchers import (
+    ChunkingDispatcher,
+    CleaningDispatcher,
+    EmbeddingDispatcher,
+    RawDispatcher,
+)
+from db.qdrant import connection
+
+flow = Dataflow("Streaming ingestion pipeline")
+stream = op.input("input", flow, RabbitMQSource())
+stream = op.map("raw dispatch", stream, RawDispatcher.handle_mq_message)
+stream = op.map("clean dispatch", stream, CleaningDispatcher.dispatch_cleaner)
+op.output(
+    "cleaned data insert to qdrant",
+    stream,
+    QdrantOutput(connection=connection, sink_type="clean"),
+)
+stream = op.flat_map("chunk dispatch", stream, ChunkingDispatcher.dispatch_chunker)
+stream = op.map(
+    "embedded chunk dispatch", stream, EmbeddingDispatcher.dispatch_embedder
+)
+op.output(
+    "embedded data insert to qdrant",
+    stream,
+    QdrantOutput(connection=connection, sink_type="vector"),
+)