feat: added pylint and pytest for etl
parent
ac1101ae96
commit
543004b51c
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@ -5,6 +5,7 @@ state
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.direnv
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venv
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.installed_deps
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.img_name
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*.egg-info
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__pycache__
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@ -10,7 +10,7 @@ x-airflow-common:
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- ./state/dbt-data/target:/dbt/target
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- ./dags:/home/airflow/airflow/dags
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- ./data:/home/airflow/gcs/data:ro
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- ./etl:/etl:ro
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- ./etl/src:/etl:ro
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- ./dbt:/dbt
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environment:
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AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
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@ -0,0 +1,9 @@
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FROM python:3.8-slim
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COPY requirements.txt /requirements.txt
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COPY dev-requirements.txt /dev-requirements.txt
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RUN pip install --upgrade pip && \
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pip install -r /requirements.txt -r /dev-requirements.txt
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WORKDIR /src
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@ -0,0 +1,54 @@
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.PHONY: clean build_img
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PYTHON_VERSION = 3.8
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PYTHON_SUBVERSION = 3.8.12
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PYENV_VERSIONS = $(HOME)/.pyenv/versions
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PYTHON_BIN = $(PYENV_VERSIONS)/$(PYTHON_SUBVERSION)/bin/python$(PYTHON_VERSION)
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VENV = venv
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PYTHON_VENV = $(VENV)/bin/python
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PIP = $(PYTHON_VENV) -m pip
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PIP_COMPILE = venv/bin/pip-compile
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IMG_NAME=etl_beam_env
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all: oci_img .installed_deps
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build_img: .img_name
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.img_name: Dockerfile requirements.txt dev-requirements.txt
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docker build -t $(IMG_NAME) .
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echo $(IMG_NAME) > $@
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.installed_deps: requirements.txt dev-requirements.txt $(PYTHON_VENV)
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$(PIP) install \
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-r requirements.txt \
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-r dev-requirements.txt
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touch $@
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requirements.txt: pyproject.toml $(PIP_COMPILE)
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$(PIP_COMPILE) \
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--resolver=backtracking \
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--output-file $@ \
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$<
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dev-requirements.txt: pyproject.toml $(PIP_COMPILE)
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$(PIP_COMPILE) \
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--extra=dev \
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--resolver=backtracking \
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--output-file $@ \
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$<
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$(PIP_COMPILE): $(PYTHON_VENV)
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$(PIP) install pip-tools
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$(PYTHON_VENV): $(PYTHON_BIN)
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virtualenv --python=$^ $(VENV)
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$(PIP) install --upgrade pip
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$(PYTHON_BIN):
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pyenv install $(PYTHON_SUBVERSION)
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clean:
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rm -rf *.egg-info venv installed_deps
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@ -1,5 +1,5 @@
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#
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# This file is autogenerated by pip-compile with Python 3.10
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# This file is autogenerated by pip-compile with Python 3.8
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# by the following command:
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#
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# pip-compile --extra=dev --output-file=dev-requirements.txt --resolver=backtracking pyproject.toml
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@ -208,7 +208,7 @@ protobuf==4.23.3
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# grpc-google-iam-v1
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# grpcio-status
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# proto-plus
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psycopg2==2.9.6
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psycopg2-binary==2.9.6
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# via beam-etl (pyproject.toml)
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pyarrow==11.0.0
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# via apache-beam
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@ -275,6 +275,8 @@ typing-extensions==4.6.3
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# via
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# apache-beam
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# astroid
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# black
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# pylint
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tzdata==2023.3
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# via pandas
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urllib3==1.26.16
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@ -0,0 +1,16 @@
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build_img:
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make build_img
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test: build_img
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docker run \
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-v $(pwd)/src:/src \
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--rm \
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-it $(cat .img_name) \
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python -m pytest
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lint: build_img
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docker run \
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-v $(pwd)/src:/src \
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--rm \
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-it $(cat .img_name) \
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pylint --init-hook "import sys; sys.path.append('/src')" /src
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@ -1,7 +1,7 @@
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[project]
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name = "beam_etl"
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version = "0.1"
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dependencies = ["wheel", "apache-beam[gcp]", "pandas", "psycopg2"]
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dependencies = ["wheel", "apache-beam[gcp]", "pandas", "psycopg2-binary"]
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[project.optional-dependencies]
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dev = ["pytest", "pylint", "black"]
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@ -1,5 +1,5 @@
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#
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# This file is autogenerated by pip-compile with Python 3.10
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# This file is autogenerated by pip-compile with Python 3.8
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# by the following command:
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#
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# pip-compile --output-file=requirements.txt --resolver=backtracking pyproject.toml
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@ -177,7 +177,7 @@ protobuf==4.23.3
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# grpc-google-iam-v1
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# grpcio-status
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# proto-plus
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psycopg2==2.9.6
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psycopg2-binary==2.9.6
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# via beam-etl (pyproject.toml)
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pyarrow==11.0.0
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# via apache-beam
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@ -5,6 +5,7 @@
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import io
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import logging
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import csv
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from typing import Dict
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import apache_beam as beam
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import psycopg2
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@ -17,9 +18,10 @@ class ReadFromCsv(beam.DoFn):
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dictionary where the row names are the keys and the cells are the values
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"""
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def process(self, in_file):
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logging.info("reading from input file: %s", in_file)
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with FileSystems.open(in_file) as file:
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# pylint: disable=abstract-method,arguments-differ
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def process(self, element):
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logging.info("reading from input file: %s", element)
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with FileSystems.open(element) as file:
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text_wrapper = io.TextIOWrapper(file)
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reader = csv.reader(text_wrapper)
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try:
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@ -33,24 +35,25 @@ class ReadFromCsv(beam.DoFn):
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class WriteToPostgreSQL(beam.DoFn):
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"""DoFn to write elements to a PostgreSQL database"""
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def __init__(
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self, hostname, port, username, password, database, table, table_key=None
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):
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self.connection_details = {
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"host": hostname,
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"port": port,
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"user": username,
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"password": password,
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"database": database,
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}
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# pylint: disable=abstract-method
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def __init__(self, connection_details: Dict[str, str], table, table_key=None):
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# pylint: disable=super-init-not-called
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self.connection_details = connection_details
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self.table = table
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self.table_key = table_key
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self.connection = None
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def setup(self):
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self.connection = psycopg2.connect(**self.connection_details)
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self.connection.autocommit = True
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def execute_insert(self, row, cursor):
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def execute_insert(self, row: Dict, cursor):
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"""Given a dictionary reporesenting a row and a postgresql cursor,
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insert the row into the database so that the dict keys are the colum
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names and the dict values the cell values.
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If a table_key is specified (`self.table_key` is set) handle conflicts
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by doing nothing"""
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colnames = ",".join(row.keys())
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values = ",".join(["%s"] * len(row))
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sql = f"""
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sql = sql + f" ON CONFLICT ({ self.table_key }) DO NOTHING"
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cursor.execute(sql, list(row.values()))
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# pylint: disable=arguments-differ
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def process(self, element):
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if self.connection is not None:
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cursor = self.connection.cursor()
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self.execute_insert(element, cursor)
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cursor.close()
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def teardown(self):
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if self.connection is not None:
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self.connection.close()
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class UpsertProductsToPg(WriteToPostgreSQL):
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"""DoFn to write products to PostgreSQL with our upsert logic"""
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# pylint: disable=abstract-method
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def execute_insert(self, row, cursor):
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"""Our upsert logic is the following:
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When any of primary_category, packaging, origin, height, depth or with
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has changed, update the element and set the ingestion_time value to the
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current timestamp
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"""
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colnames = ",".join(row.keys())
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values = ",".join(["%s"] * len(row))
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sql = f"""
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packaging = EXCLUDED.packaging,
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origin = EXCLUDED.origin,
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weight = EXCLUDED.weight,
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height = EXCLUDED.height,
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depth = EXCLUDED.depth,
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width = EXCLUDED.width,
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ingestion_time = NOW()::TIMESTAMP
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WHERE
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{ self.table }.primary_category != EXCLUDED.primary_category OR
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{ self.table }.materials != EXCLUDED.materials OR
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{ self.table }.packaging != EXCLUDED.packaging OR
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{ self.table }.origin != EXCLUDED.origin OR
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{ self.table }.weight != EXCLUDED.weight
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{ self.table }.weight != EXCLUDED.weight OR
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{ self.table }.height != EXCLUDED.height OR
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{ self.table }.depth != EXCLUDED.depth OR
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{ self.table }.width != EXCLUDED.width
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"""
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cursor.execute(sql, list(row.values()))
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#!/usr/bin/env python
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"""This Apache Beam pipeline reads rows as elements from a CSV input file,
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extracts and parses relevant values, and upserts the elements to a PostgreSQL
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database
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"""
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import logging
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from helpers.parse_row import parse_row
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# def __init__(self, hostname, port, username, password, database):
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class SustainabilityScoreOptions(PipelineOptions):
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"""Options for this pipeline"""
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beam_options = PipelineOptions()
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opts = beam_options.view_as(SustainabilityScoreOptions)
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pg_connection_details = {
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"host": opts.pg_hostname,
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"port": opts.pg_port,
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"user": opts.pg_username,
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"password": opts.pg_password,
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"database": opts.pg_database,
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}
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with beam.Pipeline(options=beam_options) as pipeline:
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# fmt: off
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# pylint: disable=expression-not-assigned
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pipeline \
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| beam.Create([opts.input]) \
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| beam.ParDo(ReadFromCsv()) \
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| beam.Map(parse_row) \
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| beam.ParDo(UpsertProductsToPg(
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hostname=opts.pg_hostname,
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port=opts.pg_port,
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username=opts.pg_username,
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password=opts.pg_password,
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database=opts.pg_database,
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connection_details=pg_connection_details,
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table=opts.pg_table,
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table_key="tcin",
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))
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