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Naman Jain
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rename yet again for an available package name
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README.md

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@@ -14,19 +14,19 @@ The transformed data supports:
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### Using Docker
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To build the docker image, run:
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```sh
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docker build -t data_transformation .
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docker build -t data_transformations .
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```
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To run the docker container, here's an example command:
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`docker run -v $(pwd)/output:/app/output data_transformation <start_date> <end_date> <out_dir>`
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`docker run -v $(pwd)/output:/app/output data_transformations <start_date> <end_date> <out_dir>`
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<br/>
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Here, `start_date` and `end_date` are in DD-MM-YYYY format.
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<br/>
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And `out_dir` is the directory where the parquet files will be generated.
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For example:
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```sh
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docker run -v $(pwd)/output:/app/output data_transformation 01-01-2022 04-01-2022 out_dir
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docker run -v $(pwd)/output:/app/output data_transformations 01-01-2022 04-01-2022 out_dir
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```
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### Using Poetry
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```sh
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poetry install
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poetry shell
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python -m transform 01-01-2023 03-01-2023 ./parquet_files
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python -m data_transformations 01-01-2023 03-01-2023 ./parquet_files
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```
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### Using pip
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data_transformation/__main__.py renamed to data_transformations/__main__.py

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import gcsfs
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import tqdm
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from data_transformation import constants, process_data, utils
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from data_transformations import constants, process_data, utils
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logging.basicConfig(
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level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
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tests/conftest.py

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import gcsfs
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import pytest
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from data_transformation import constants, utils
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from data_transformations import constants, utils
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@pytest.fixture

tests/test_process_data.py

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import pandas as pd
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import pytest
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from data_transformation import process_data
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from data_transformations import process_data
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H3_INDEX = "890326233abffff"
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tests/test_utils.py

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import gcsfs
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from data_transformation import utils
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from data_transformations import utils
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def test_initialize_gcsfs():

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