diff --git a/.github/workflows/pypi-publish.yml b/.github/workflows/pypi-publish.yml index 98b0303..a3738ff 100644 --- a/.github/workflows/pypi-publish.yml +++ b/.github/workflows/pypi-publish.yml @@ -8,22 +8,23 @@ on: jobs: publish: - runs-on: ubuntu-20.04 + runs-on: ubuntu-22.04 steps: - uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v2 with: - python-version: '3.6' - - name: Install dependencies + python-version: '3.11' + - name: Install Poetry run: | - python -m pip install --upgrade pip - pip install setuptools wheel twine + curl -sSL https://install.python-poetry.org | python3 - - name: Build and publish env: TWINE_USERNAME: ${{ secrets.pcic_at_pypi_username }} TWINE_PASSWORD: ${{ secrets.pcic_at_pypi_password }} run: | - python setup.py sdist bdist_wheel - twine upload --repository-url https://pypi.pacificclimate.org/ --skip-existing -u $TWINE_USERNAME -p $TWINE_PASSWORD dist/* + poetry config repositories.pcic https://pypi.pacificclimate.org/ + poetry config http-basic.pcic $PCIC_PYPI_USERNAME $PCIC_PYPI_PASSWORD + poetry build + poetry publish -r pcic \ No newline at end of file diff --git a/.github/workflows/python-ci.yml b/.github/workflows/python-ci.yml index 799e5ff..c9d50c7 100644 --- a/.github/workflows/python-ci.yml +++ b/.github/workflows/python-ci.yml @@ -5,13 +5,13 @@ on: push jobs: test: - runs-on: ubuntu-22.04 + runs-on: ubuntu-24.04 strategy: matrix: python-version: - - "3.8" - - "3.9" - "3.10" + - "3.11" + - "3.12" steps: - uses: actions/checkout@v2 @@ -20,37 +20,26 @@ jobs: with: python-version: ${{ matrix.python-version }} - - name: Install dependencies + - name: Install system dependencies run: | sudo apt-get update - sudo apt-get install postgis postgresql-14 postgresql-client-14 libhdf5-serial-dev libnetcdf-dev libspatialite-dev + sudo apt-get install postgis postgresql-16 postgresql-client-16 libhdf5-serial-dev libnetcdf-dev libspatialite-dev wget - - name: Install pipenv + - name: Install poetry run: | - pip install pipenv==2022.10.25 - - - id: cache-pipenv - uses: actions/cache@v2 - with: - path: ~/.local/share/virtualenvs - key: ${{ runner.os }}-pipenv-${{ hashFiles('**/Pipfile.lock') }} + wget -O - https://install.python-poetry.org | python3 - + echo "$HOME/.local/bin" >> $GITHUB_PATH - - name: Install dependencies if changed - if: ${{ steps.cache-pipenv.outputs.cache-hit != 'true' && matrix.python-version == '3.8' }} - run: | - pipenv install --deploy --dev - - name: Re-install dependencies if alternative python version - if: ${{ matrix.python-version != '3.8' }} + - name: Install python dependencies run: | - mv Pipfile.lock do-not-use - pipenv install --python ${{ matrix.python-version }} --dev + poetry install --extras test - name: Test with pytest (full) if: github.ref == 'refs/heads/master' run: | - pipenv run py.test -m "not online" -v + poetry run py.test -v - name: Test with pytest (fast) if: github.ref != 'refs/heads/master' run: | - pipenv run py.test -m "not online and not slow" -v + poetry run py.test -m "not slow" -v \ No newline at end of file diff --git a/Makefile b/Makefile index ee87dc2..22317b7 100644 --- a/Makefile +++ b/Makefile @@ -1,17 +1,16 @@ -all: install install-pipenv test +all: install install-poetry test install: - sudo apt-get install postgresql-14 \ - postgresql-client-14 \ + sudo apt-get install postgresql-16 \ + postgresql-client-16 \ libhdf5-serial-dev \ libnetcdf-dev \ libspatialite-dev \ - postgresql-14-postgis-3 + postgresql-16-postgis-3 -install-pipenv: - sudo apt-get install pipenv - pipenv install - pipenv install --dev +install-poetry: + pip install poetry + poetry install --extras test -test: install - pipenv run pytest -v +test: + poetry run pytest -v diff --git a/Pipfile b/Pipfile deleted file mode 100644 index 0eb0146..0000000 --- a/Pipfile +++ /dev/null @@ -1,31 +0,0 @@ -[[source]] -url = "https://pypi.python.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -url = "https://pypi.pacificclimate.org/simple" -verify_ssl = true -name = "pcic" - -[packages] -SQLAlchemy = "<2.0" -alembic = "*" -psycopg2 = "*" -numpy = "*" -netCDF4 = "==1.5.*" -nchelpers = {version = "==5.5.11", index = "pcic"} -python-dateutil = "*" -sqlparse = "*" -pycrs = "*" -modelmeta = {editable = true, path = "." } - -[dev-packages] -pytest = "*" -"testing.postgresql" = "*" -alembic = "*" -alembic-verify = "*" -modelmeta = {editable = true, path = "."} - -[requires] -python_version = "3.8" diff --git a/Pipfile.lock b/Pipfile.lock deleted file mode 100644 index 2c58be3..0000000 --- a/Pipfile.lock +++ /dev/null @@ -1,1102 +0,0 @@ -{ - 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The package +provides model classes for each of the tables in the database. + +With this package, one can recreate the database schema in +[PostgreSQL](http://www.postgresql.org) or +[SQLite](http://www.sqlite.org) and/or use the package as an object +mapper for programmatic database access. + +`modelmeta` uses [SQLAlchemy](http://www.sqlalchemy.org) to provide the +ORM layer, and [Alembic](http://alembic.zzzcomputing.com/en/latest/) to +manage database creation and migration (see section below). + +The intent of the database itself is to separate the small, inexpensive, +structured metadata and attribute information (stored in the database) +from the expensive-to-access bulk spatiotemporal data (stored on disk in +multidimensional files). It provides an efficiently searchable index of +the bulk data files, and separates storage from indexing. + +## Installation + +Installation of this package, including system dependences, is automated through either `make` or `poethepoet` for Ubuntu 24.04: + + $ make #option 1 + $ poe setup #option 2 + +If you wish to install `modelmeta` manually, follow the steps below. + +1. Clone the repository: + + $ git clone https://github.com/pacificclimate/modelmeta + +2. Create and activate a virtual environment: + + $ cd modelmeta + $ python3 -m venv venv + $ source venv/bin/activate + $ pip install poetry + $ poetry install # --with=test for development and testing + +Scripts to populate a PCIC modelmeta database +=========================================== + +This repository contains two convenient scripts that add data files to +an existing modelmeta database so that our websites can access data from +them. They are installed when the package is installed. + +### Indexing new files with index_netcdf + +`index_netcdf` adds one or more netCDF climate data files to a PCIC +modelmeta-format database: + + index_netcdf -d postgresql://username:password@monsoon.pcic.uvic.ca/database /path/to/files/*.nc + +Usernames and passwords can be found in Team Password Manager. To add +files to the data portal, use database `pcic_meta`; to add files to PCEX +or Plan2adapt, use database `ce_meta_12f290b63791`. + +In order to determine the metadata of the file, the `index_metadata` +script scans its netCDF attributes. If the file does not have all the +[required +attributes](https://pcic.uvic.ca/confluence/display/CSG/PCIC+metadata+standard+for+downscaled+data+and+hydrology+modelling+data) +specified, the `index_metadata` script will be unable to proceed. You +can look at a file\'s attributes with the command: + + ncdump -h file.nc + +and update attributes using the `update_metadata` script in the +[climate-explorer-data-prep](https://github.com/pacificclimate/climate-explorer-data-prep) +respository. If you update file attributes, log your update YAML and a +list of which files you used with in in the +[data-prep-actions](https://github.com/pacificclimate/data-prep-actions) +repository, in case you need to reprocess or check the files later. + +### Making files accessible to PCIC projects with associate_ensemble + +Once files have been indexed into the database, they need to be added to +individual ensembles; each ensemble is associated with a particular +project or website and contains all data files needed to support the +functioning of that component. In most cases, a file will be added to +more than one ensemble: + + associate_ensemble -n ensemble_name -v 1 -d postgresql://username:password@db.pcic.uvic.ca/database /path/to/files/*.nc + +**Available ensembles, or where should I put this data anyway?** + +Most ensembles represent groupings of related files that users can +interact with (view maps, download data, create graphs, etc) using a +specific PCIC tool. Plan2adapt, the data portal, SCIP, and PCEX all use +ensembles in this way. + +Plan2adapt uses a single ensemble which represents a list of all the +files a user can view. The name of this ensemble is set when plan2adapt +is deployed, as the environment variable `REACT_APP_ENSEMBLE_NAME`. You +can see the environment variables for a docker container running +plan2adapt with `docker exec container_name env`. + +The data portal uses a separate ensemble for each portal, which +represents a list of the data files a user can download from that +portal. Each portal\'s ensemble is hard-coded in that portal\'s +definition file, in +[pdp/portals](https://github.com/pacificclimate/pdp/tree/master/pdp/portals) +. + +PCEX is flexible about which ensembles it uses. A PCEX URL encodes both +a UI and an ensemble which specifies which data is to be viewed with +that UI. In theory you can look at any ensemble with any UI, but in +practice, UIs make assumptions about the type of data available and most +combinations won\'t work. In most cases, users access the various PCEX +UIs pages via the [link bar at the top of the +page](https://github.com/pacificclimate/climate-explorer-frontend/blob/master/src/components/DataTool.js). +The `navSubpath` variable has the UI before the slash and the ensemble +after it. PCEX UIs that display hydrological data for a watershed also +have an additional ensemble that contains files that describe the +geography of the watershed; this data cannot be directly viewed by the +user but is required for some calculations. A list of these geographic +ensembles can be +[found](https://github.com/pacificclimate/climate-explorer-frontend/blob/master/src/data-services/ce-backend.js) +in `getWatershedGeographyName()`. + +SCIP is currently hardcoded to use an ensemble named +\"scip_fraser_bccoast\". + +There are also two special ensembles used by PCIC internal tools, not +web portals. + +- The `all_files` ensemble in the `ce_meta_12f290b63791` contains + every file in the database, with the exception of time-invariant + files. It is used with various scripts that + [test](https://github.com/pacificclimate/data-prep-actions/blob/master/actions/test-ncwms-instance/DESCRIPTION.md) + new functionality across all files. +- The `p2a_rules` ensemble in the `ce_meta_12f290b63791` database + contains all the information needed by plan2adapt\'s rules engine; + it is used by the + [scripts](https://github.com/pacificclimate/data-prep-actions/blob/master/actions/precalculate-p2a-regions/DESCRIPTION.md) + which pre-generate rules engine results for plan2adapt, which are + too slow to process in real time. + +### Deleting files from the databases + +Unfortunately, we don\'t currently have a script that can delete files +from the databases. If you accidentally index a file with bad metadata +and need to get rid of it, at present the only way is to log on to the +database directly with `psql` or `pgadmin`. + +## What is climate coverage data? + +Climate coverage data (or \"raster data\" or \"spatiotemporal data\") +consist of large data fields, typically over two or three dimensions in +space plus a time dimension. Depending on the resolution in each axis, +the data can typically be quite large in size. Typically there are +several-to-many output quantities (e.g. temperature, precipiation, wind +speed/direction) and often there can be multiple scenarios, multiple +model implementations, and multiple runs of each model further +exacerbating the size of the data. + +## Managing database migrations + +### Introduction + +Modifications to `modelmeta`\'s schema definition are now managed using +[Alembic](https://alembic.sqlalchemy.org/en/latest/), a database migration tool based on SQLAlchemy. + +In short, Alembic supports and disciplines two processes of database +schema change: + +- Creation of database migration scripts (Python programs) that modify + the schema of a database. +- Application of migrations to specific database instances. + - In particular, Alembic can be used to *create* a new instance of + a `modelmeta` database by migrating an empty database to the + current state. This is described in detail below. + +For more information, see the [Alembic +tutorial](http://alembic.zzzcomputing.com/en/latest/tutorial.html). + +### History + +The existing instance of a `modelmeta` database (`monsoon/pcic_meta`) +was created prior to the adoption of Alembic, and therefore the timeline +for Alembic database migrations is slightly confusing. + +Timeline: + +- *the distant past*: `pcic_meta` is created by mysterious primeval + processes. +- *somewhat later*: `modelmeta` is defined using SQLAlchemy, mapping + most (but not all) features of the existing `pcic_meta` database + into an ORM. +- 2017-07-18: + - Alembic is introduced. + - Alembic is used to create migration `614911daf883` that adds + item `seasonal` to `timescale` Enum. +- 2017-08-01: + - The SQLAlchemy ORM is updated to reflect all features of the + `pcic_meta` database. This mainly involves adding some missing + indexes and constraints. + - Alembic is used to create a logically-previous migration + `7847aa3c1b39` that creates the initial database schema from an + empty database. + - The add-seasonal migration is modified to logically follow the + initial-create migration. + +#### Creating a new database + +##### For a Postgres database + +A Postgres database is somewhat more elaborate to set up, but it is also +the foundation of a production database, not least because we use +PostGIS. + +Instructions: + +1. Choose a name for your new database/schema, e.g., `ce_meta`. + +2. On the server of your choice (e.g., `monsoon`): + + **Note**: These operations must be performed with high-level + permissions. See the System Administrator to have these done or + obtain permissions. + + For a record of such a creation, see [Redmine Issue + 696](https://redmine.pacificclimate.org/issues/696). Permission + setup was more complicated than anticipated. + + a. Create a new database with the chosen name, e.g., `ce_meta`. + + b. Within that database, create a new schema with the chosen name, + e.g., `ce_meta`. + + c. Create new users, with the following permissions: + + - `ce_meta` (database owner): full permissions for table + creation and read-write permissions in schemas `ce_meta` and + `public` + - `ce_meta_rw` (database writer): read-write permissions in + schemas `ce_meta` and `public` + - `ce_meta_ro` (database reader): read-only permissions in + schemas `ce_meta` and `public` + + and for each of them + + - `search_path = ce_meta,public` + + d. [Enable PostGIS in the new + database](http://postgis.net/install/). + + - `CREATE EXTENSION postgis;` + - This creates the table `spatial_ref_sys` in schema `public`. + Check that. + +3. Add a DSN for your new database, including the appropriate user + name, to `alembic.ini`. For example: + + [prod_ce_meta] + sqlalchemy.url = postgresql://ce_meta@monsoon.pcic.uvic.ca/ce_meta + +4. Create your new database with Alembic by ugrading the empty database + to `head`: + + alembic -x db=prod_ce_meta upgrade head + +5. Have a beer. + +##### For a SQLite database + +A SQLite database is very simple to set up, but is normally used only +for testing. + +1. Add a DSN for your new database to `alembic.ini`. This database need + not exist yet (although the path does). For example: + + [my_test_database] + sqlalchemy.url = sqlite:///path/to/test.sqlite + +2. Create your new database with Alembic by ugrading the non-existent + database to `head`: + + alembic -x db=my_test_database upgrade head + +3. Have a beer. Or at least a soda. + +### Updating the existing `pcic_meta` database + +**DEPRECATED**: [Decision taken not to modify +pcic_meta](https://pcic.uvic.ca/confluence/display/CSG/pcic_meta%3A+Current+contents+and+update+plan+2017-Jul) +This content is retained in case that decision is revised in future. + +This section is only of interest to PCIC. + +#### Initialization + +Status: NOT DONE + +The following things need to be done ONCE in order to bring `pcic_meta` +under management by Alembic. + +1. The table `pcic_meta.alembic_version` has already been created in + `pcic_meta` by earlier operations. Its content is currently `null`. +2. Place the value `7847aa3c1b39` in the single row and column of table + `pcic_meta.alembic_version` in `pcic_meta`. + - This fakes the migration from an empty database to its nominal + initial state (before add-seasonal migration). + +#### Ongoing migrations + +Once the initialization steps have been completed, ongoing migrations +are simple and standard: + +1. Apply later migrations: `alembic -x db=prod_pcic_meta upgrade head` + - At the time of this writing (2017-08-01), that would be + migration `614911daf883`. + +### Creating a new database migration + +First create a new revision with this command: + +``` +alembic revision -m "" +``` + +Alembic will create a new file in `alembic/versions` with stub `upgrade()` and `downgrade()` +functions. Fill in the upgrade function to make the change you want the migration to create +(IE, drop a table, recreate it with different column names) and the downgrade function to return +to the current database configuration from the new one (IE, drop a table, recreate it with +the old column names). The `alembic.op` object has various useful database manipulation functions +for this. + +You can migrate a database to the new revision with the `alembic upgrade head` command discussed +earlier. \ No newline at end of file diff --git a/README.rst b/README.rst deleted file mode 100644 index a9cc132..0000000 --- a/README.rst +++ /dev/null @@ -1,260 +0,0 @@ -========= -modelmeta -========= - -.. image:: https://github.com/pacificclimate/modelmeta/workflows/Python%20CI/badge.svg - :target: https://github.com/pacificclimate/modelmeta - -.. image:: https://github.com/pacificclimate/modelmeta/workflows/Pypi%20Publishing/badge.svg - :target: https://github.com/pacificclimate/modelmeta - -.. image:: https://codeclimate.com/github/pacificclimate/modelmeta/badges/gpa.svg - :target: https://codeclimate.com/github/pacificclimate/modelmeta - :alt: Code Climate - -Overview -======== - -``modelmeta`` is a Python package that provides an -`Object Relational Mapping (ORM) `_ layer -for accessing the `Pacific Climate Impacts Consortium (PCIC) `_'s -database of `coverage data `_ metadata. -The package provides model classes for each of the tables in the database. - -With this package, one can recreate the database schema in `PostgreSQL `_ -or `SQLite `_ and/or use the package as an object mapper for programmatic database access. - -``modelmeta`` uses `SQLAlchemy `_ to provide the ORM layer, and -`Alembic `_ to manage database creation and migration (see section -below). - -The intent of the database itself is to separate the small, inexpensive, structured metadata and attribute information -(stored in the database) from the expensive-to-access bulk spatiotemporal data (stored on disk in multidimensional -files). It provides an efficiently searchable index of the bulk data files, and separates storage from indexing. - -Installation -============ - -Installation is fully automated through ``make``:: - - $ make - -If you wish to install ``modelmeta`` manually, follow the steps below. - -#. Clone the repository:: - - $ git clone https://github.com/pacificclimate/modelmeta - -#. Create a virtual environment:: - - $ cd modelmeta - $ pipenv install # --dev for development packages - - -Scripts to populate a PCIC modelmeta database -=========================================== - -This repository contains two convenient scripts that add data files to an existing modelmeta database so that our websites can access data from them. They are installed when the package is installed. - -Indexing new files with index_netcdf ------------------------------------- -``index_netcdf`` adds one or more netCDF climate data files to a PCIC modelmeta-format database:: - - index_netcdf -d postgresql://username:password@monsoon.pcic.uvic.ca/database /path/to/files/*.nc - -Usernames and passwords can be found in Team Password Manager. To add files to the data portal, use database ``pcic_meta``; to add files to PCEX or Plan2adapt, use database ``ce_meta_12f290b63791``. - -In order to determine the metadata of the file, the ``index_metadata`` script scans its netCDF attributes. If the file does not have all the `required attributes `_ specified, the ``index_metadata`` script will be unable to proceed. You can look at a file's attributes with the command:: - - ncdump -h file.nc - - -and update attributes using the ``update_metadata`` script in the `climate-explorer-data-prep `_ respository. If you update file attributes, log your update YAML and a list of which files you used with in in the `data-prep-actions `_ repository, in case you need to reprocess or check the files later. - -Making files accessible to PCIC projects with associate_ensemble ----------------------------------------------------------------- - -Once files have been indexed into the database, they need to be added to individual ensembles; each ensemble is associated with a particular project or website and contains all data files needed to support the functioning of that component. In most cases, a file will be added to more than one ensemble:: - - associate_ensemble -n ensemble_name -v 1 -d postgresql://username:password@monsoon.pcic.uvic.ca/database /path/to/files/*.nc - -**Available ensembles, or where should I put this data anyway?** - -Most ensembles represent groupings of related files that users can interact with (view maps, download data, create graphs, etc) using a specific PCIC tool. Plan2adapt, the data portal, and PCEX all use ensembles in this way. - -Plan2adapt uses a single ensemble which represents a list of all the files a user can view. The name of this ensemble is set when plan2adapt is deployed, as the environment variable ``REACT_APP_ENSEMBLE_NAME``. You can see the environment variables for a docker container running plan2adapt with ``docker exec container_name env``. - -The data portal uses a separate ensemble for each portal, which represents a list of the data files a user can download from that portal. Each portal's ensemble is hard-coded in that portal's definition file, in `pdp/portals `_ . - -PCEX is flexible about which ensembles it uses. A PCEX URL encodes both a UI and an ensemble which specifies which data is to be viewed with that UI. In theory you can look at any ensemble with any UI, but in practice, UIs make assumptions about the type of data available and most combinations won't work. In most cases, users access the various PCEX UIs pages via the `link bar at the top of the page `_. The ``navSubpath`` variable has the UI before the slash and the ensemble after it. PCEX UIs that display hydrological data for a watershed also have an additional ensemble that contains files that describe the geography of the watershed; this data cannot be directly viewed by the user but is required for some calculations. A list of these geographic ensembles can be `found `_ in ``getWatershedGeographyName()``. - -There are also three special ensembles used by PCIC internal tools, not web portals. - -* The ``all_files`` ensemble in the ``ce_meta_12f290b63791`` contains every file in the database, with the exception of time-invariant files. It is used with various scripts that `test `_ new functionality across all files. - -* The ``p2a_rules`` ensemble in the ``ce_meta_12f290b63791`` database contains all the information needed by plan2adapt's rules engine; it is used by the `scripts `_ which pre-generate rules engine results for plan2adapt, which are too slow to process in real time. - -* The ``downscaled_canada`` ensemble in the ``pcic_meta`` database contains all datafiles for which map images can be generated for the portal website. It is used by `the ncWMS proxy `_ to generate map images for the data portal. When you add new files to this ensemble, you will need to reboot the ncWMS proxy to load the new files, or their maps will not be available. - -Deleting files from the databases ---------------------------------- - -Unfortunately, we don't currently have a script that can delete files from the databases. If you accidentally index a file with bad metadata and need to get rid of it, at present the only way is to log on to the database directly with ``psql`` or ``pgadmin``. - - -What is climate coverage data? -============================== - -Climate coverage data (or "raster data" or "spatiotemporal data") consist of large data fields, typically over -two or three dimensions in space plus a time dimension. Depending on the resolution in each axis, the data can -typically be quite large in size. Typically there are several-to-many output quantities (e.g. temperature, -precipiation, wind speed/direction) and often there can be multiple scenarios, multiple model implementations, -and multiple runs of each model further exacerbating the size of the data. - -Managing database migrations -============================ - -Introduction ------------- - -Modifications to ``modelmeta``'s schema definition are now managed using -`Alembic`_, a database migration tool based on SQLAlchemy. - -In short, Alembic supports and disciplines two processes of database schema change: - -- Creation of database migration scripts (Python programs) that modify the schema of a database. - -- Application of migrations to specific database instances. - - - In particular, Alembic can be used to *create* a new instance of a ``modelmeta`` database by migrating an - empty database to the current state. This is described in detail below. - -For more information, see the `Alembic tutorial `_. - -History -------- - -The existing instance of a ``modelmeta`` database (``monsoon/pcic_meta``) was created prior to the adoption of -Alembic, and therefore the timeline for Alembic database migrations is slightly confusing. - -Timeline: - -- *the distant past*: ``pcic_meta`` is created by mysterious primeval processes. - -- *somewhat later*: ``modelmeta`` is defined using SQLAlchemy, mapping most (but not all) features of the existing - ``pcic_meta`` database into an ORM. - -- 2017-07-18: - - - Alembic is introduced. - - Alembic is used to create migration ``614911daf883`` that adds item ``seasonal`` to ``timescale`` Enum. - -- 2017-08-01: - - - The SQLAlchemy ORM is updated to reflect all features of the ``pcic_meta`` database. - This mainly involves adding some missing indexes and constraints. - - - Alembic is used to create a logically-previous migration ``7847aa3c1b39`` that creates the initial - database schema from an empty database. - - - The add-seasonal migration is modified to logically follow the initial-create migration. - -Creating a new database -~~~~~~~~~~~~~~~~~~~~~~~ - -For a Postgres database -+++++++++++++++++++++++ - -A Postgres database is somewhat more elaborate to set up, but it is also the foundation of a production -database, not least because we use PostGIS. - -Instructions: - -#. Choose a name for your new database/schema, e.g., ``ce_meta``. - -#. On the server of your choice (e.g., ``monsoon``): - - **Note**: These operations must be performed with high-level permissions. - See the System Administrator to have these done or obtain permissions. - - For a record of such a creation, see `Redmine Issue 696 `_. - Permission setup was more complicated than anticipated. - - a. Create a new database with the chosen name, e.g., ``ce_meta``. - - #. Within that database, create a new schema with the chosen name, e.g., ``ce_meta``. - - #. Create new users, with the following permissions: - - - ``ce_meta`` (database owner): full permissions for table creation and read-write permissions - in schemas ``ce_meta`` and ``public`` - - ``ce_meta_rw`` (database writer): read-write permissions in schemas ``ce_meta`` and ``public`` - - ``ce_meta_ro`` (database reader): read-only permissions in schemas ``ce_meta`` and ``public`` - - and for each of them - - - ``search_path = ce_meta,public`` - - #. `Enable PostGIS in the new database `_. - - - ``CREATE EXTENSION postgis;`` - - This creates the table ``spatial_ref_sys`` in schema ``public``. Check that. - -#. Add a DSN for your new database, including the appropriate user name, to ``alembic.ini``. For example:: - - [prod_ce_meta] - sqlalchemy.url = postgresql://ce_meta@monsoon.pcic.uvic.ca/ce_meta - -#. Create your new database with Alembic by ugrading the empty database to ``head``:: - - alembic -x db=prod_ce_meta upgrade head - -#. Have a beer. - -For a SQLite database -+++++++++++++++++++++ - -A SQLite database is very simple to set up, but is normally used only for testing. - -#. Add a DSN for your new database to ``alembic.ini``. This database need not exist yet (although the path does). - For example:: - - [my_test_database] - sqlalchemy.url = sqlite:///path/to/test.sqlite - -#. Create your new database with Alembic by ugrading the non-existent database to ``head``:: - - alembic -x db=my_test_database upgrade head - -#. Have a beer. Or at least a soda. - -Updating the existing ``pcic_meta`` database --------------------------------------------- - -**DEPRECATED**: `Decision taken not to modify pcic_meta `_ -This content is retained in case that decision is revised in future. - -This section is only of interest to PCIC. - -Initialization -~~~~~~~~~~~~~~ - -Status: NOT DONE - -The following things need to be done ONCE in order to bring ``pcic_meta`` under management by Alembic. - -#. The table ``pcic_meta.alembic_version`` has already been created in ``pcic_meta`` by earlier operations. - Its content is currently ``null``. - -#. Place the value ``7847aa3c1b39`` in the single row and column of table ``pcic_meta.alembic_version`` in ``pcic_meta``. - - - This fakes the migration from an empty database to its nominal initial state (before add-seasonal migration). - -Ongoing migrations -~~~~~~~~~~~~~~~~~~ - -Once the initialization steps have been completed, ongoing migrations are simple and standard: - -#. Apply later migrations: ``alembic -x db=prod_pcic_meta upgrade head`` - - - At the time of this writing (2017-08-01), that would be migration ``614911daf883``. diff --git a/alembic/versions/12f290b63791_handle_variant_sampling_geometries.py b/alembic/versions/12f290b63791_handle_variant_sampling_geometries.py index 1589d8c..b86679f 100644 --- a/alembic/versions/12f290b63791_handle_variant_sampling_geometries.py +++ b/alembic/versions/12f290b63791_handle_variant_sampling_geometries.py @@ -32,13 +32,13 @@ def copy_level_set_id_and_grid_id_to_data_file_variables_gridded(): # Adapted from https://gist.github.com/mafrosis/5e456eb16bf4cc619c959f4d6e1aa8e1 dfvs = sa.Table( 'data_file_variables', - sa.MetaData(bind=op.get_bind()), - autoload=True + sa.MetaData(), + autoload_with=op.get_bind() ) dfvs_gridded = sa.Table( 'data_file_variables_gridded', - sa.MetaData(bind=op.get_bind()), - autoload=True + sa.MetaData(), + autoload_with=op.get_bind() ) op.get_bind().execute( dfvs.update().values(geometry_type='gridded') @@ -46,7 +46,7 @@ def copy_level_set_id_and_grid_id_to_data_file_variables_gridded(): op.get_bind().execute( dfvs_gridded.insert().from_select( ['id', 'level_set_id', 'grid_id'], - sa.select([dfvs.c.data_file_variable_id, dfvs.c.level_set_id, dfvs.c.grid_id]) + sa.select(dfvs.c.data_file_variable_id, dfvs.c.level_set_id, dfvs.c.grid_id) ) ) @@ -132,13 +132,13 @@ def copy_level_set_id_and_grid_id_from_data_file_variables_gridded(): # Adapted from https://gist.github.com/mafrosis/5e456eb16bf4cc619c959f4d6e1aa8e1 dfvs = sa.Table( 'data_file_variables', - sa.MetaData(bind=op.get_bind()), - autoload=True + sa.MetaData(), + autoload_with=op.get_bind() ) dfvs_gridded = sa.Table( 'data_file_variables_gridded', - sa.MetaData(bind=op.get_bind()), - autoload=True + sa.MetaData(), + autoload_with=op.get_bind() ) if get_dialect() == 'sqlite': # SQLite doesn't support the (standard) form ``UPDATE ... SET ... FROM ...`` @@ -147,10 +147,10 @@ def copy_level_set_id_and_grid_id_from_data_file_variables_gridded(): op.get_bind().execute( dfvs.update().values( level_set_id= - sa.select([dfvs_gridded.c.level_set_id]) + sa.select(dfvs_gridded.c.level_set_id) .where(dfvs_gridded.c.id == dfvs.c.data_file_variable_id), grid_id= - sa.select([dfvs_gridded.c.grid_id]) + sa.select(dfvs_gridded.c.grid_id) .where(dfvs_gridded.c.id == dfvs.c.data_file_variable_id), ) ) @@ -169,8 +169,8 @@ def copy_level_set_id_and_grid_id_from_data_file_variables_gridded(): def delete_dsg_time_series_data_file_variables(): dfvs = sa.Table( 'data_file_variables', - sa.MetaData(bind=op.get_bind()), - autoload=True + sa.MetaData(), + autoload_with=op.get_bind() ) dfvs.delete().where(dfvs.c.geometry_type == 'dsg_time_series') diff --git a/alembic/versions/614911daf883_add_seasonal_to_time_resolution_enum.py b/alembic/versions/614911daf883_add_seasonal_to_time_resolution_enum.py index 30aa4d0..3ba6235 100644 --- a/alembic/versions/614911daf883_add_seasonal_to_time_resolution_enum.py +++ b/alembic/versions/614911daf883_add_seasonal_to_time_resolution_enum.py @@ -118,22 +118,22 @@ def swap_and_drop(curr_options, dest_options): # Create a temporary enum type, convert to it and drop the old enum type tmp_type.create(connection, checkfirst=False) - op.execute(''' + op.execute(sa.text(''' ALTER TABLE {table_name} ALTER COLUMN {column_name} TYPE {tmp_type_name} USING {column_name}::text::{tmp_type_name} - '''.format(**alter_args)) + '''.format(**alter_args))) old_type.drop(connection, checkfirst=False) # Create and convert to the new enum type new_type.create(connection, checkfirst=False) - op.execute(''' + op.execute(sa.text(''' ALTER TABLE {table_name} ALTER COLUMN {column_name} TYPE {type_name} USING {column_name}::text::{type_name} - '''.format(**alter_args)) + '''.format(**alter_args))) # Drop the temporary enum type tmp_type.drop(connection, checkfirst=False) diff --git a/alembic/versions/7847aa3c1b39_initial_create.py b/alembic/versions/7847aa3c1b39_initial_create.py index 743a8b7..5436816 100644 --- a/alembic/versions/7847aa3c1b39_initial_create.py +++ b/alembic/versions/7847aa3c1b39_initial_create.py @@ -21,7 +21,7 @@ def upgrade(): # but it proved easier (a.k.a. apparently necessary) for testing to do it # here. Also, it makes eminent sense to remove an external manual step in # setting up a new database. Hence: - op.execute('create extension postgis') + op.execute(sa.text('create extension postgis')) op.create_table('emissions', sa.Column('emission_id', sa.Integer(), nullable=False), diff --git a/mm_cataloguer/index_netcdf.py b/mm_cataloguer/index_netcdf.py index b8c2c8a..fed4631 100644 --- a/mm_cataloguer/index_netcdf.py +++ b/mm_cataloguer/index_netcdf.py @@ -112,31 +112,6 @@ filepath_converter = 'realpath' - -# Decorators - -def memoize(obj): - """Memoize a callable object with only positional args, and where those - args are hashable. This is simple and sufficient for its application in - this code. It works in all versions of Python >= 2.7, which is not true - for many of the more featureful modules (e.g., `functools.lru_cache`). - - Adapted from http://book.pythontips.com/en/latest/function_caching.html - """ - memo = {} - - @functools.wraps(obj) - def memoized(*args): - if args in memo: - return memo[args] - else: - value = obj(*args) - memo[args] = value - return value - - return memoized - - # Helper functions def is_regular_series(values, relative_tolerance=1e-6): @@ -153,10 +128,14 @@ def mean_step_size(values): def seconds_since_epoch(t): """Convert a datetime to the number of seconds since the Unix epoch.""" - return (t-datetime.datetime(1970, 1, 1)).total_seconds() + # add a timezone, if one is missing + if t.tzinfo is None: + utc_t = t.replace(tzinfo=datetime.timezone.utc) + else: + utc_t = t + return (utc_t-datetime.datetime(1970, 1, 1, tzinfo=datetime.timezone.utc)).total_seconds() -@memoize def get_level_set_info(cf, var_name): """Return a dict containing information characterizing the level set (Z axis values) associated with a specified dependent variable, or @@ -186,7 +165,6 @@ def get_level_set_info(cf, var_name): } -@memoize def get_grid_info(cf, var_name): """Get information defining the Grid record corresponding to the spatial dimensions of a variable in a NetCDF file. @@ -561,14 +539,14 @@ def insert_spatial_ref_sys(sesh, cf, var_name): .cte(name='max_srid') ) next_srid = ( - select([ - case([ + select( + case( (max_srid.c.max_srid >= 990000, max_srid.c.max_srid + 1), - ], else_=990000).label('next_srid') - ]) + else_=990000).label('next_srid') + ) .cte(name='next_srid') ) - id = select([next_srid.c.next_srid]) # Used in two places + id = select(next_srid.c.next_srid).scalar_subquery() # Used in two places proj4_string = cf.proj4_string(var_name, default=default_proj4) @@ -1004,7 +982,7 @@ def find_timeset(sesh, cf): .filter(TimeSet.time_resolution == cf.time_resolution) .filter(TimeSet.num_times == int(cf.time_var.size)) .filter(TimeSet.calendar == cf.time_var.calendar) - .first() + .first() #this is where the error is. ) @@ -1124,7 +1102,7 @@ def insert_data_file(sesh, cf): # create.data.file.id filename=cf.filepath(converter=filepath_converter), first_1mib_md5sum=cf.first_MiB_md5sum, unique_id=cf.unique_id, - index_time=datetime.datetime.utcnow(), + index_time=datetime.datetime.now(datetime.timezone.utc), run=run, timeset=timeset, x_dim_name=dim_names.get('X', None), @@ -1188,7 +1166,7 @@ def delete_data_file(sesh, existing_data_file): def update_data_file_index_time(sesh, data_file): """Update the index time recorded for data_file""" logger.info('Updating index time (only)') - data_file.index_time = datetime.datetime.utcnow() + data_file.index_time = datetime.datetime.now(datetime.timezone.utc) return data_file diff --git a/mm_cataloguer/psycopg2_adapters.py b/mm_cataloguer/psycopg2_adapters.py index 84c2d11..a207e18 100644 --- a/mm_cataloguer/psycopg2_adapters.py +++ b/mm_cataloguer/psycopg2_adapters.py @@ -18,7 +18,6 @@ def register(): numpy.uint16, numpy.uint32, numpy.uint64, - numpy.float_, numpy.float16, numpy.float32, numpy.float64, diff --git a/modelmeta/v1.py b/modelmeta/v1.py index 8eaed9c..99f3e4e 100644 --- a/modelmeta/v1.py +++ b/modelmeta/v1.py @@ -3,7 +3,7 @@ 'DataFileVariable', 'Level', 'LevelSet', 'QCFlag',\ 'test_dsn', 'test_session'] -from pkg_resources import resource_filename +from importlib.resources import files from sqlalchemy import Column, Integer, Float, String, DateTime, Boolean, ForeignKey, create_engine from sqlalchemy.ext.declarative import declarative_base @@ -194,12 +194,3 @@ class QCFlag(Base): # __tablename__ = 'times' # timestep = Column(DateTime) # time_set_id = Column(Integer, ForeignKey('time_sets.time_set_id')) - -test_dsn = 'sqlite+pysqlite:///{0}'.format(resource_filename('modelmeta', 'data/mddb-v1.sqlite')) - -def test_session(): - '''This creates a testing database session that can be used as a test fixture. - ''' - engine = create_engine(test_dsn) - Session = sessionmaker(bind=engine) - return Session() diff --git a/modelmeta/v2.py b/modelmeta/v2.py index 5169082..8d22ece 100644 --- a/modelmeta/v2.py +++ b/modelmeta/v2.py @@ -28,11 +28,9 @@ SpatialRefSys '''.split() -from pkg_resources import resource_filename - from sqlalchemy import Column, Integer, Float, String, DateTime, Boolean, \ Enum, ForeignKey, Index, UniqueConstraint -from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import declarative_base from sqlalchemy.ext.orderinglist import ordering_list from sqlalchemy.orm import relationship, backref, sessionmaker @@ -174,7 +172,8 @@ class DataFileVariableDSGTimeSeries(DataFileVariable): stations = relationship( 'Station', secondary='data_file_variables_dsg_time_series_x_stations', - back_populates='data_file_variables') + back_populates='data_file_variables', + viewonly=True) __mapper_args__ = { 'polymorphic_identity':'dsg_time_series', @@ -203,7 +202,8 @@ class Station(Base): data_file_variables = relationship( 'DataFileVariableDSGTimeSeries', secondary='data_file_variables_dsg_time_series_x_stations', - back_populates='stations') + back_populates='stations', + viewonly=True) def __repr__(self): @@ -542,7 +542,8 @@ class Run(Base): time_set = relationship('TimeSet', primaryjoin='Run.id==DataFile.run_id', secondary='data_files', - secondaryjoin='DataFile.time_set_id==TimeSet.id') + secondaryjoin='DataFile.time_set_id==TimeSet.id', + viewonly=True) files = relationship("DataFile", backref=backref('run', lazy='joined'), lazy='joined') @@ -621,11 +622,13 @@ class Variable(Base): name = Column('variable_name', String(length=64), nullable=False) # relation definitions - variable_aliases = relationship('VariableAlias', primaryjoin='Variable.variable_alias_id==VariableAlias.id') + variable_aliases = relationship('VariableAlias', primaryjoin='Variable.variable_alias_id==VariableAlias.id', + back_populates="variable") data_files_variables = relationship('DataFileVariable', primaryjoin='Variable.variable_alias_id==VariableAlias.id', secondary='variable_aliases', - secondaryjoin='VariableAlias.id==DataFileVariable.variable_alias_id') + secondaryjoin='VariableAlias.id==DataFileVariable.variable_alias_id', + viewonly=True) def __repr__(self): return obj_repr('id name description variable_alias_id', self) @@ -647,9 +650,10 @@ class VariableAlias(Base): data_files = relationship('DataFile', primaryjoin='VariableAlias.id==DataFileVariable.variable_alias_id', secondary='data_file_variables', - secondaryjoin='DataFileVariable.data_file_id==DataFile.id', + secondaryjoin='DataFileVariable.data_file_id==DataFile.id', + viewonly=True, backref=backref('variable_aliases')) - variable = relationship("Variable", backref=backref('variable_alias')) + variable = relationship("Variable", back_populates="variable_aliases") def __repr__(self): return obj_repr('id long_name standard_name units', self) diff --git 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"sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"}, + {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"}, +] + +[extras] +poe = ["poethepoet"] +test = ["alembic-verify", "lxml", "pytest", "sqlalchemy-diff", "sqlparse", "testing-postgresql"] + +[metadata] +lock-version = "2.1" +python-versions = ">=3.10,<4.0" +content-hash = "8f55fb82b66f4c45cd92039439879187b76f8d17e8970577cbd0bf540cc02a33" diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..59b599b --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,85 @@ +[build-system] +requires = ["poetry-core>=2.0.0,<3.0.0"] +build-backend = "poetry.core.masonry.api" + +[project] +name = "modelmeta" +version = "1.0.2" +requires-python = ">=3.10,<4.0" +readme = "README.md" +description = "An ORM representation of the model meta database" +authors = [ + {name = "James Hiebert", email = "hiebert@uvic.ca"}, + {name = "Rod Glover", email = "rglover@uvic.ca"}, + {name = "Eric Yvorchuk"}, + {name = "Lee Zeman", email = "lzeman@uvic.ca"}, + {name = "David Bronaugh"} +] +classifiers=[ + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", +] +keywords = [ + "sql", + "database", + "climate" +] +dependencies = [ + "setuptools>=79.0.1,<80.0.0", + "pycrs>=1.0.2,<2.0.0", + "alembic>=1.15.2,<2.0.0", + "psycopg2>=2.9.10,<3.0.0", + "sqlalchemy>=2.0.40,<3.0.0", + "nchelpers>=5.5.11,<6.0.0", +] + + +[project.optional-dependencies] +test = [ + "pytest==8.3.5", + "testing-postgresql==1.3.0", + "alembic-verify>=0.1.4,<0.2.0", + "sqlalchemy-diff>=0.1.5,<0.2.0", + "sqlparse==0.5.3", + "lxml==5.4.0", +] +poe = [ "poethepoet==0.34.0"] + + +[[tool.poetry.source]] +name = "pcic" +url = "https://pypi.pacificclimate.org/simple" +priority = "supplemental" + + +[tool.poetry.scripts] +copyproddb="scripts.copyproddb:copy" +mktestdb="scripts.mktestdb:make_test" +list="scripts.list:list" +list_csv="scripts.list_csv:list" +index_netcdf="scripts.index_netcdf:index" +associate_ensemble="scripts.associate_ensemble:associate" +ncwms_configurator="scripts.ncwms_configurator:configurator" +generate_manifest="scripts.generate_manifest:generate" + + +[tool.pytest.ini_options] +markers = [ + "slow: marks tests that are slow (deselect with '-m \"not slow\"')", +] + + +[tool.poe.tasks] +dependencies = """ +sudo apt-get install postgresql-16 + postgresql-client-16 + libhdf5-serial-dev + libnetcdf-dev + libspatialite-dev + postgresql-16-postgis-3 +""" +install = "poetry install" +test = "poetry run pytest" +setup = ["dependencies", "install", "test"] \ No newline at end of file diff --git a/scripts/__init__.py b/scripts/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/scripts/associate_ensemble b/scripts/associate_ensemble.py similarity index 98% rename from scripts/associate_ensemble rename to scripts/associate_ensemble.py index e5c9991..5c5ee82 100644 --- a/scripts/associate_ensemble +++ b/scripts/associate_ensemble.py @@ -3,8 +3,7 @@ from mm_cataloguer.associate_ensemble import main - -if __name__ == '__main__': +def associate(): parser = ArgumentParser(description='Associate an ensemble to datafiles') parser.add_argument( '-d', '--dsn', required=True, diff --git a/scripts/copyproddb.py b/scripts/copyproddb.py index 30d4272..02e2c3b 100644 --- a/scripts/copyproddb.py +++ b/scripts/copyproddb.py @@ -1,7 +1,6 @@ import sys import logging from argparse import ArgumentParser -from pkg_resources import resource_filename from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker @@ -14,7 +13,7 @@ class GenericMapper(Base): __table__ = table return GenericMapper -if __name__ == '__main__': +def copy(): parser = ArgumentParser() parser.add_argument("-d", "--dsn", help="Source database DSN from which to read") parser.add_argument("-o", "--outdsn", help="Destination database DSN. Default is output.sqlite in current directory") diff --git a/scripts/generate_manifest b/scripts/generate_manifest.py similarity index 97% rename from scripts/generate_manifest rename to scripts/generate_manifest.py index 2add9af..df11653 100644 --- a/scripts/generate_manifest +++ b/scripts/generate_manifest.py @@ -5,8 +5,7 @@ from mm_cataloguer.generate_manifest import generate_manifest - -if __name__ == '__main__': +def generate(): parser = ArgumentParser( description='Generate manifest of files requested from database') parser.add_argument("-c", "--connection_string", help="DSN for modelmeta database") diff --git a/scripts/index_netcdf b/scripts/index_netcdf.py similarity index 85% rename from scripts/index_netcdf rename to scripts/index_netcdf.py index a0b37b0..3f8896b 100644 --- a/scripts/index_netcdf +++ b/scripts/index_netcdf.py @@ -3,12 +3,11 @@ from mm_cataloguer.index_netcdf import index_netcdf_files - -if __name__ == '__main__': +def index(): parser = ArgumentParser( description='Index PCIC metadata standard compliant NetCDF files ' 'into modelmeta database') parser.add_argument("-d", "--dsn", help="DSN for metadata database") parser.add_argument('filenames', nargs='+', help='Files to process') args = parser.parse_args() - index_netcdf_files(args.filenames, args.dsn) \ No newline at end of file + index_netcdf_files(args.filenames, args.dsn) diff --git a/scripts/list b/scripts/list.py similarity index 99% rename from scripts/list rename to scripts/list.py index 6f6e3b5..8924cd4 100644 --- a/scripts/list +++ b/scripts/list.py @@ -29,8 +29,7 @@ strtobool, \ list_filepaths, list_dirpaths -if __name__ == '__main__': - +def list(): main_parser = ArgumentParser( description='Tools for listing and summarizing contents of a ' 'modelmeta database.' diff --git a/scripts/list-csv b/scripts/list_csv.py similarity index 92% rename from scripts/list-csv rename to scripts/list_csv.py index f8ec6a2..55de6e3 100644 --- a/scripts/list-csv +++ b/scripts/list_csv.py @@ -8,8 +8,7 @@ from mm_cataloguer.list_csv import main - -if __name__ == '__main__': +def list(): parser = ArgumentParser( description='List contents of a modelmeta database into a CSV file. ' 'Filename is fixed: modelmeta.csv' @@ -20,4 +19,4 @@ help="Source database DSN from which to read" ) args = parser.parse_args() - main(args.dsn) \ No newline at end of file + main(args.dsn) diff --git a/scripts/mktestdb.py b/scripts/mktestdb.py index 966c709..e050986 100644 --- a/scripts/mktestdb.py +++ b/scripts/mktestdb.py @@ -1,13 +1,12 @@ import sys import logging from argparse import ArgumentParser -from pkg_resources import resource_filename from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.schema import MetaData -if __name__ == '__main__': +def make_test(): parser = ArgumentParser() parser.add_argument("-d", "--dsn", help="Source database DSN from which to read") parser.add_argument("-e", "--ensemble", help="Ensemble to copy from the database") diff --git a/scripts/nc-copy-modify.py b/scripts/nc-copy-modify.py index 44bf1b9..3b81a63 100644 --- a/scripts/nc-copy-modify.py +++ b/scripts/nc-copy-modify.py @@ -76,7 +76,6 @@ def nc_copy(source_fp, dest_fp, time_dimension, time_indices, variables): else: dest_variable[:] = source_variable[:] - if __name__ == '__main__': parser = ArgumentParser( description='Copy a NetCDF file with some modifications, ' diff --git a/scripts/ncwms_configurator b/scripts/ncwms_configurator.py similarity index 98% rename from scripts/ncwms_configurator rename to scripts/ncwms_configurator.py index 918424b..8216440 100644 --- a/scripts/ncwms_configurator +++ b/scripts/ncwms_configurator.py @@ -6,9 +6,7 @@ from ncwms_configurator import create, update - -if __name__ == '__main__': - +def configurator(): logging.basicConfig(stream=sys.stdout, level=logging.INFO) parser = ArgumentParser() diff --git a/setup.cfg b/setup.cfg deleted file mode 100644 index 727d86d..0000000 --- a/setup.cfg +++ /dev/null @@ -1,3 +0,0 @@ -[pytest] -norecursedirs = tests/helpers -testpaths = tests \ No newline at end of file diff --git a/setup.py b/setup.py deleted file mode 100644 index ff25e90..0000000 --- a/setup.py +++ /dev/null @@ -1,66 +0,0 @@ -import string -from setuptools import setup - -__version__ = (1, 0, 1) - -setup( - name="modelmeta", - description="An ORM representation of the model metadata database", - keywords="sql database climate", - packages=['modelmeta', 'mm_cataloguer', 'ncwms_configurator'], - version='.'.join(str(d) for d in __version__), - url="http://www.pacificclimate.org/", - author="James Hiebert", - author_email="hiebert@uvic.ca", - zip_safe=False, - install_requires = ''' - sqlalchemy - alembic - psycopg2 - numpy - netCDF4 - nchelpers>=5.5.0 - python-dateutil - sqlparse - PyCRS - lxml - '''.split(), - package_data = { - 'modelmeta': ''' - data/mddb-v1.sqlite - data/mddb-v2.sqlite - data/bad_tiny_gcm.nc - data/tiny_gcm.nc - data/tiny_downscaled.nc - data/tiny_hydromodel_gcm.nc - data/tiny_gcm_climo_yearly.nc - data/tiny_gcm_climo_seasonal.nc - data/tiny_gcm_climo_monthly.nc - data/tiny_gridded_obs.nc - data/tiny_streamflow.nc - '''.split() - }, - include_package_data = True, - scripts = ''' - scripts/copyproddb.py - scripts/mktestdb.py - scripts/list - scripts/list-csv - scripts/index_netcdf - scripts/associate_ensemble - scripts/ncwms_configurator - scripts/generate_manifest - '''.split(), - classifiers=['Development Status :: 5 - Production/Stable', - 'Environment :: Console', - 'Intended Audience :: Developers', - 'Intended Audience :: Science/Research', - 'License :: OSI Approved :: GNU General Public License v3 (GPLv3)', - 'Operating System :: OS Independent', - 'Programming Language :: Python :: 3.6', - 'Programming Language :: Python :: 3.7', - 'Topic :: Scientific/Engineering', - 'Topic :: Database', - 'Topic :: Software Development :: Libraries :: Python Modules' - ] -) diff --git a/tests/alembic-migrations/test_migrations.py b/tests/alembic-migrations/test_migrations.py index bc7c505..3d31f6c 100644 --- a/tests/alembic-migrations/test_migrations.py +++ b/tests/alembic-migrations/test_migrations.py @@ -3,7 +3,7 @@ import pytest -from sqlalchemy import create_engine, MetaData, Table, select +from sqlalchemy import create_engine, MetaData, Table, select, text from sqlalchemy.orm import sessionmaker from alembic import command @@ -55,7 +55,9 @@ def test_model_and_migration_schemas_are_the_same( """ prepare_schema_from_migrations(uri_left, alembic_config_left) engine = create_engine(uri_right) - engine.execute('create extension postgis') + with engine.connect() as connection: + with connection.begin(): + connection.execute(text('create extension postgis')) prepare_schema_from_models(uri_right, Base) result = compare( @@ -89,55 +91,57 @@ def test_12f290b63791_upgrade_data_migration(uri_left, alembic_config_left): uri_left, alembic_config_left, revision='614911daf883') # Define minimal set of tables needed to test migration - meta_data = MetaData(bind=engine) - variable_aliases = Table('variable_aliases', meta_data, autoload=True) - grids = Table('grids', meta_data, autoload=True) - data_files = Table('data_files', meta_data, autoload=True) - data_file_variables = Table('data_file_variables', meta_data, autoload=True) + meta_data = MetaData() + variable_aliases = Table('variable_aliases', meta_data, autoload_with=engine) + grids = Table('grids', meta_data, autoload_with=engine) + data_files = Table('data_files', meta_data, autoload_with=engine) + data_file_variables = Table('data_file_variables', meta_data, autoload_with=engine) # Insert minimal data needed to test migration: Several instances of each of # variable_aliases, grids, data_files, associated to a data_file_variables. num_test_records = 3 - for i in range(0, num_test_records): - for stmt in [ - variable_aliases.insert().values( - variable_alias_id=i, - variable_long_name=name('var', i), - variable_standard_name=name('var', i), - variable_units='foo', - ), - grids.insert().values( - grid_id=i, - xc_origin=0.0, - xc_grid_step=1.0, - xc_count=10, - xc_units='xc_units', - yc_origin=0.0, - yc_grid_step=1.0, - yc_count=10, - yc_units='yc_units', - evenly_spaced_y=True, - ), - data_files.insert().values( - data_file_id=i, - filename=name('filename', i), - first_1mib_md5sum='first_1mib_md5sum', - unique_id=name('unique_id', i), - x_dim_name='x_dim_name', - y_dim_name='y_dim_name', - index_time=datetime.datetime.now(), - ), - data_file_variables.insert().values( - data_file_variable_id=i, - data_file_id=i, - variable_alias_id=i, - grid_id=i, - netcdf_variable_name=name('var', i), - range_min=0.0, - range_max=10.0, - ) - ]: - engine.execute(stmt) + with engine.connect() as connection: + with connection.begin(): + for i in range(0, num_test_records): + for stmt in [ + variable_aliases.insert().values( + variable_alias_id=i, + variable_long_name=name('var', i), + variable_standard_name=name('var', i), + variable_units='foo', + ), + grids.insert().values( + grid_id=i, + xc_origin=0.0, + xc_grid_step=1.0, + xc_count=10, + xc_units='xc_units', + yc_origin=0.0, + yc_grid_step=1.0, + yc_count=10, + yc_units='yc_units', + evenly_spaced_y=True, + ), + data_files.insert().values( + data_file_id=i, + filename=name('filename', i), + first_1mib_md5sum='first_1mib_md5sum', + unique_id=name('unique_id', i), + x_dim_name='x_dim_name', + y_dim_name='y_dim_name', + index_time=datetime.datetime.now(), + ), + data_file_variables.insert().values( + data_file_variable_id=i, + data_file_id=i, + variable_alias_id=i, + grid_id=i, + netcdf_variable_name=name('var', i), + range_min=0.0, + range_max=10.0, + ) + ]: + connection.execute(stmt) # Run upgrade migration command.upgrade(alembic_config_left, '+1') @@ -226,16 +230,16 @@ def test_12f290b63791_downgrade_data_migration(uri_left, alembic_config_left): command.downgrade(alembic_config_left, '-1') # Define minimal set of tables needed to test migration - meta_data = MetaData(bind=engine) - data_file_variables = Table('data_file_variables', meta_data, autoload=True) + meta_data = MetaData() + data_file_variables = Table('data_file_variables', meta_data, autoload_with=engine) # Check data results of migration. - results = list(engine.execute( - data_file_variables.select() - )) - - assert results is not None - assert len(results) == num_test_records - assert all(r['variable_alias_id'] == r['data_file_variable_id'] for r in results) - assert all(r['grid_id'] == r['data_file_variable_id'] for r in results) - assert all(r['data_file_id'] == r['data_file_variable_id'] for r in results) + with engine.connect() as connection: + with connection.begin(): + results = list(connection.execute(data_file_variables.select())) + + assert results is not None + assert len(results) == num_test_records + assert all(r._mapping['variable_alias_id'] == r._mapping['data_file_variable_id'] for r in results) + assert all(r._mapping['grid_id'] == r._mapping['data_file_variable_id'] for r in results) + assert all(r._mapping['data_file_id'] == r._mapping['data_file_variable_id'] for r in results) diff --git a/tests/conftest.py b/tests/conftest.py index de8f7f2..c89a618 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -23,15 +23,16 @@ factories, and sessions, one starting with databases with session scope, the other with databases with function scope. """ + import sys import os -from pkg_resources import resource_filename import datetime +import time import pytest import testing.postgresql -from sqlalchemy import create_engine +from sqlalchemy import create_engine, text from sqlalchemy.orm import sessionmaker from sqlalchemy.schema import CreateSchema @@ -64,6 +65,8 @@ YCellBound, \ SpatialRefSys +from tests.test_helpers import resource_filename + # Add helpers directory to pythonpath: See https://stackoverflow.com/a/33515264 sys.path.append(os.path.join(os.path.dirname(__file__), 'helpers')) @@ -81,7 +84,7 @@ def make_data_file(i, run=None, timeset=None): x_dim_name='lon', y_dim_name='lat', t_dim_name='time', - index_time=datetime.datetime.now(), + index_time=datetime.datetime.now(datetime.timezone.utc), run=run, timeset=timeset, ) @@ -241,7 +244,9 @@ def ensemble2(): # Database initialization def init_database(engine): - engine.execute("create extension postgis") + with engine.connect() as connection: + with connection.begin(): + connection.execute(text("create extension postgis")) # Session-scoped databases, engines, session factories, and derived sessions @@ -332,16 +337,18 @@ def test_session_with_empty_db_fs(test_session_factory_fs): # Database for migration testing -@pytest.fixture(scope='module') + +@pytest.fixture(scope="module") def db_uri(test_dsn): yield test_dsn # Parametrized fixtures + def open_tiny_dataset(abbrev): - filename = 'data/tiny_{}.nc'.format(abbrev) - return CFDataset(resource_filename('modelmeta', filename)) + filename = "data/tiny_{}.nc".format(abbrev) + return CFDataset(resource_filename("modelmeta", filename)) # We parametrize these fixture so that every test that uses it is run for all diff --git a/tests/mm_cataloguer/test_associate_ensemble.py b/tests/mm_cataloguer/test_associate_ensemble.py index 0ad8a5e..5e889a9 100644 --- a/tests/mm_cataloguer/test_associate_ensemble.py +++ b/tests/mm_cataloguer/test_associate_ensemble.py @@ -1,7 +1,6 @@ """Test functions for associating an ensemble to a file. """ import pytest -from pkg_resources import resource_filename from nchelpers import CFDataset @@ -14,6 +13,7 @@ from mm_cataloguer.index_netcdf import \ index_cf_file, find_update_or_insert_cf_file +from tests.test_helpers import resource_filename from modelmeta import create_test_database from modelmeta import DataFile, DataFileVariable, \ @@ -34,7 +34,7 @@ def index_test_files(Session): 'data/tiny_hydromodel_gcm.nc', 'data/tiny_gcm_climo_monthly.nc', ] - filenames = [resource_filename('modelmeta', f) for f in test_files] + filenames = [resource_filename("modelmeta", f) for f in test_files] for filename in filenames: with CFDataset(filename) as cf: find_update_or_insert_cf_file(session, cf) @@ -201,13 +201,13 @@ def test_associate_ensemble_to_filepath__( # Associate associated_items = associate_ensemble_to_filepath( session, ensemble1.name, ensemble1.version, - regex_filepath, filepath, var_names + regex_filepath, str(filepath), var_names ) # Verify assert set( df.filename for df, _ in associated_items - ) == expected_filepaths + ) == set(str(ef) for ef in expected_filepaths) assert set( dfv.netcdf_variable_name diff --git a/tests/mm_cataloguer/test_index.py b/tests/mm_cataloguer/test_index.py index 05d135b..9e08a29 100644 --- a/tests/mm_cataloguer/test_index.py +++ b/tests/mm_cataloguer/test_index.py @@ -25,14 +25,13 @@ import os import datetime -from pkg_resources import resource_filename import pytest from netCDF4 import date2num, num2date, chartostring from dateutil.relativedelta import relativedelta -from sqlalchemy import func +from sqlalchemy import func, text import pycrs @@ -60,12 +59,15 @@ insert_timeset, find_timeset, find_or_insert_timeset, \ get_grid_info, get_level_set_info, \ seconds_since_epoch, usable_name, wkt +from tests.test_helpers import resource_filename + from mock_helper import Mock # Helper functions for defining tests + def conditional(f, false_value=None): """Return a function that, dependent on an additional boolean keyword parameter ``invoke``, either invokes and returns the value of the argument @@ -135,18 +137,21 @@ def check_find_or_insert(*args, **kwargs): def freeze_utcnow(*args): - """Freeze datetime.datetime.utcnow() + """Freeze datetime.datetime.now() This would be more elegant as a fixture or decorator, but it would be a lot more work. """ monkeypatch = args[0] fake_now = datetime.datetime(*args[1:]) + print("FAKE NOW", fake_now) class fake_datetime(datetime.datetime): @classmethod def utcnow(cls): return fake_now + def now(cls): + return fake_now monkeypatch.setattr(datetime, 'datetime', fake_datetime) return fake_now @@ -167,7 +172,7 @@ def print_query_results(session, query, title=None): if title: print(title) print('-' * len(title)) - result = session.execute(query) + result = session.execute(text(query)) for row in result: print(row) @@ -932,7 +937,12 @@ def test_insert_data_file( ): # Have to use a datetime with no hours, min, sec because apparently # SQLite loses precision - fake_now = freeze_utcnow(monkeypatch, 2000, 1, 2) + fake_now = freeze_utcnow( + monkeypatch, + datetime.datetime.now(datetime.timezone.utc).year, + datetime.datetime.now(datetime.timezone.utc).month, + datetime.datetime.now(datetime.timezone.utc).day + ) dim_names = tiny_any_dataset.axes_dim() data_file = check_insert( insert_data_file, test_session_with_empty_db, tiny_any_dataset, @@ -1163,7 +1173,7 @@ def test_index_netcdf_file( create_test_database(test_engine_fs) # Index file - filepath = resource_filename('modelmeta', rel_filepath) + filepath = resource_filename("modelmeta", rel_filepath) data_file_id = index_netcdf_file(filepath, test_session_factory_fs) # Check results @@ -1174,7 +1184,7 @@ def test_index_netcdf_file( .filter(DataFile.id == data_file_id) .one() ) - assert data_file.filename == filepath + assert data_file.filename == str(filepath) session.close() @@ -1190,7 +1200,7 @@ def test_index_netcdf_file_with_error( create_test_database(test_engine_fs) # Index file - filepath = resource_filename('modelmeta', rel_filepath) + filepath = resource_filename("modelmeta", rel_filepath) data_file_id = index_netcdf_file(filepath, test_session_factory_fs) # Check results @@ -1220,7 +1230,7 @@ def test_index_netcdf_files(test_dsn_fs, test_engine_fs): 'data/tiny_gcm_climo_yearly.nc', 'data/tiny_streamflow.nc', ] - filenames = [resource_filename('modelmeta', f) for f in test_files] + filenames = [resource_filename("modelmeta", f) for f in test_files] data_file_ids = index_netcdf_files(filenames, test_dsn_fs) # Check results diff --git a/tests/modelmeta/test_against_test_sqlite_db.py b/tests/modelmeta/test_against_test_sqlite_db.py index 068c8c4..43f8aa5 100644 --- a/tests/modelmeta/test_against_test_sqlite_db.py +++ b/tests/modelmeta/test_against_test_sqlite_db.py @@ -1,15 +1,16 @@ -from pkg_resources import resource_filename - import modelmeta import pytest from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker +from tests.test_helpers import resource_filename + + @pytest.fixture def test_session(): - f = resource_filename('modelmeta', 'data/mddb-v2.sqlite') - engine = create_engine('sqlite:///{0}'.format(f)) + f = resource_filename("modelmeta", "data/mddb-v2.sqlite") + engine = create_engine("sqlite:///{0}".format(f)) Session = sessionmaker(bind=engine) return Session() diff --git a/tests/test_helpers.py b/tests/test_helpers.py new file mode 100644 index 0000000..d24857b --- /dev/null +++ b/tests/test_helpers.py @@ -0,0 +1,6 @@ +from importlib import import_module +from importlib.resources import files + + +def resource_filename(package, path): + return str(files(import_module(package)) / path)