#DI-95 implement tox for vestapol tests

.flake8

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+[flake8]
+max-line-length = 88

README.md

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 # vestapol
+
 vestapol is a Python package that loads data from the web and deploys a corresponding external table definition, so that the data can be queried using standard SQL.
 
 ["Vestapol"](https://www.youtube.com/watch?v=SKQG-JGyn7U) is an open D Major tuning for the guitar. It is named after a 19th-century composition distributed in some of the earliest instructional guides for guitar.
 
 ## Setup
 
-1. Install poetry: 
+1. Install poetry:
+
 ```shell
     curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
 ```
 
 2. Add poetry to path:
+
 ```shell
     source $HOME/.poetry/env
 ```
 
-3. Create poetry virtual env:
+3. Check that you have a Python version compatible with requirements for this project. See `python` under `[tool.poetry.dependencies]` in `pyproject.toml` for current dependencies. If you are not currently using Pyenv to manange Python installation, refer to our [Documentation](https://inquirer.atlassian.net/wiki/spaces/KB/pages/1763704858/How+to+manage+Python+installations+on+your+machine+with+Pyenv). Follow instructions there to install an appropriate version.
+
+```shell
+    pyenv versions
+```
+
+4. Check futher that you have Python versions installed for all that are tested by tox. See `envlist` under `[tox]` in `tox.ini` for current dependencies.
+
+```shell
+    pyenv install <version>
+```
+
+5. Create poetry virtualenv:
+
 ```shell
     poetry shell
 ```
 
-4. Install modules from poetry.lock:
+6. Make sure poetry.lock is up to date:
+
+```shell
+    poetry update
+```
+
+7. Install vestapol in poetry virtualenv:
+
 ```shell
     poetry install
 ```
-5. Set environment variables for development:
-
+
+8. Set environment variables for development:
+
 ### Google Cloud Platform (`vestapol.destinations.GoogleCloudPlatform`)
+
 - `GCS_BUCKET_NAME`: the Google Cloud Storage bucket where data is loaded (e.g. `inq-warehouse-waligob`)
 - `GCS_ROOT_PREFIX`: the GCS prefix where data is loaded (e.g. `data_catalog`)
 - `GBQ_PROJECT_ID`: the BigQuery project identifier (e.g. `inq-warehouse`)
 - `GBQ_DATASET_ID`: the BigQuery dataset where external tables will be created (e.g. `data_catalog_waligob`)
 - `GBQ_DATASET_LOCATION`: the BigQuery dataset location (e.g. `US`)
 - `GOOGLE_APPLICATION_CREDENTIALS=`: location of the GCS service account keyfile (e.g. `~/inq-warehouse-f0962a57089e-inf.json`)
 
+8. run tests in clean poetry environment:
+
+```shell
+    tox
+```
 
 ## Usage
+
 ```python
-from vestapol.web_resources import CSVResource
-from vestapol.destinations import GoogleCloudPlatform
+from vestapol.web_resources.csv_resource import CSVResource
+from vestapol.destinations.gcp_destination import GoogleCloudPlatform
 
 
 nyt_covid_data_2022 = CSVResource(