From a75cdafba2a86e96f1b472db41a4f64acf1d0cb7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Thu, 30 Mar 2023 10:45:31 +0200 Subject: [PATCH 01/22] doc(ci + pre-commit) : Add doc for CI and pre-commit --- CONTRIBUTING.rst | 94 ++++++++++++++++++++++---- docs/source/maintainers_guidelines.rst | 56 ++++++++++++--- 2 files changed, 129 insertions(+), 21 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 7e4f0aec..f1e331e5 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -78,12 +78,18 @@ commit and prints the error. Currently, DISDRODB only tests that the code to be committed complies with black’s format style. In case that the commit is aborted, you only need to run black agains you code. -This can be done by running ``black .`` or ``pre-commit run --all-files``. The latter is recommended since it -indicates if the commit contained any formatting errors (that are automatically corrected). +This can be done by running ``pytest disdrodb`` or ``black .`` or ``ruff check .`` .. note:: - To maintain consitency, we use Black version `22.8.0` (as defined into `.pre-commit-config.yaml`). Make sure to stick to version. + To maintain consitency, please use version and configuration defined into `.pre-commit-config.yaml`). + + + +The can also be done with ``pre-commit run --all-files``. This is recommended since it +indicates if the commit contained any formatting errors (that are automatically corrected). + +More info on pre-commit and CI tools in the Code quality ans testing section `Code quality and testing section <#code-quality-control-and-testing>`__ @@ -230,13 +236,45 @@ You should configure VS code as follow : -Running test units -~~~~~~~~~~~~~~~~~~~~~~ +Code quality control and testing +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Every code change must be tested ! -DISDRODB tests are written using the third-party `pytest `_ package. +To maintain a high code quality, we use `pre-commit `__ to run a series of checks on the code before each commit. The checks are defined in the .pre-commit-config.yaml file. The checks include: + + ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| | Aim | pre-commit | CI/CD | Python version | ++===============================================================================================+==================================================================+============+=======+===========================================+ +| `Pytest `__ | Execute unit tests and functional tests | πŸ‘ | πŸ‘ | | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `Black `__ | Python code formatter | πŸ‘ | πŸ‘ | No python version (Black version 22.8.0) | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `Ruff `__ | Python linter | πŸ‘ | πŸ‘ | ? | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `pre-commit.ci `__ | Run pre-commit | | | | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| Coverage | Measure the code coverage of the project's unit tests | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeCov `__ | Uses the "coverage" package to generate a code coverage report. | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `Coveralls `__ | Uses the "coverage" to track the quality of your code over time. | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeBeat `__ | Automated code review and analysis tools | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeScene `__ | Automated code review and analysis tools | - | πŸ‘ | ? | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeFactor `__ | Automated code review and analysis tools | - | πŸ‘ | ? | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ + +In the table above, some CI tool are mentioned for your information, but does not need to be installed on your computer. They are automatically run when you push your changes to the main repository via a GitHub Pull Request. + + +**Pytest** + +DISDRODB tests are written using the third-party `pytest `_ package. DISDRODB full testing pipeline can be executed by running: @@ -245,9 +283,6 @@ DISDRODB full testing pipeline can be executed by running: pytest disdrodb - -**Unit tests** - The tests located in the `disdrob/tests` folder are used to test various functions of the code and are automatically run when changes are pushed to the main repository through a GitHub Pull Request. .. code-block:: bash @@ -256,9 +291,6 @@ The tests located in the `disdrob/tests` folder are used to test various functio - -**Integration tests** - Tests located in the `disdrob/test_readers` folder are utilized to test readers. They are **not** run automatically when you push your changes to the main repository via a GitHub Pull Request. Tests are in place to ensure that a particular reader functions properly. If a new reader is added, a corresponding test should also be added. @@ -301,6 +333,44 @@ This test will run all readers that data have been put in the above structure. T +**Black** + +Black should be used that way : + +.. code-block:: bash + + black . + + + +.. note:: + To maintain consitency, make sure to stick to version defined in the `.pre-commit-config.yaml` file. This version will be used in the CI. + + + + + + +**Ruff** + +Ruff should be used that way : + +.. code-block:: bash + + ruff check . + + +.. note:: + To maintain consitency, make sure to stick to version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is be used in the CI. + + + + + + + + + Push your changes to your fork repository ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diff --git a/docs/source/maintainers_guidelines.rst b/docs/source/maintainers_guidelines.rst index ee1b2572..65a2c06f 100644 --- a/docs/source/maintainers_guidelines.rst +++ b/docs/source/maintainers_guidelines.rst @@ -119,16 +119,54 @@ Reviewing process ============================ -To do : define test process +The main branch is protected and requires at least one review before merging. + +The review process is the following : + +#. A PR is opened by a contributor +#. The CI pipeline is triggered and the status of the tests is reported in the PR. +#. A core contributor reviews the PR and request changes if needed. +#. The contributor updates the PR according to the review. +#. The core contributor reviews the PR again and merge it if the changes are ok. + + + +Continous intergration (CI) testing tools +=========================================== + +Currently, on each Pull Request, GitHub Actions are configured as follow : + + ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| | Aim | Status | Python version | ++====================================================================================================+==================================================================+==============================================================================================+===========================================+ +| `Pytest `__ | Execute unit tests and functional tests | | | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `Black `__ | Python code formatter | | No python version (Black version 22.8.0) | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `Ruff `__ | Python linter | | ? | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `pre-commit.ci `__ | Run pre-commit as defined in pre-commit-config.yaml | | | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| Coverage | Measure the code coverage of the project's unit tests | | all versions according to GitHub workflow | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `CodeCov `__ | Uses the "coverage" package to generate a code coverage report. | `disdrodb `__ | all versions according to GitHub workflow | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `Coveralls `__ | Uses the "coverage" to track the quality of your code over time. | `disdrodb `__ | all versions according to GitHub workflow | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `CodeBeat `__ | Automated code review and analysis tools | `disdrodb `__ | all versions according to GitHub workflow | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `CodeScene `__ | Automated code review and analysis tools | - | ? | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ +| `CodeFactor `__ | Automated code review and analysis tools | `disdrodb `__ | ? | ++----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ + + + + + + -Testing processes -============================ -Currently, on each Pull Request, GitHub Actions are configured to: -* Test that the code complies with the black style format. -* Test that the code complies with the ruff linter rules. -* Check that the introduced changes does not break the disdrodb software (on multiple OS and environments). -* Run tools that checks the code quality and the unit tests coverage (using i.e. -`Coveralls `__, `CodeFactor `, `CodeBeat `__, ...) From e6fed168d628dfe0b2858d86f01d302d8897e504 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Thu, 30 Mar 2023 13:26:37 +0200 Subject: [PATCH 02/22] doc(pre-commit) : Remove pytest from the pre-commit part --- CONTRIBUTING.rst | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index f1e331e5..b60f532b 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -75,10 +75,10 @@ The pre-commit hooks are scripts executed automatically in every commit to identify simple code quality issues. When an issue is identified (the pre-commit script exits with non-zero status), the hook aborts the commit and prints the error. Currently, DISDRODB only tests that the -code to be committed complies with black’s format style. +code to be committed complies with black's format style and the ruff linter. In case that the commit is aborted, you only need to run black agains you code. -This can be done by running ``pytest disdrodb`` or ``black .`` or ``ruff check .`` +This can be done by running ``black .`` or ``ruff check .`` .. note:: To maintain consitency, please use version and configuration defined into `.pre-commit-config.yaml`). @@ -248,7 +248,7 @@ To maintain a high code quality, we use `pre-commit `__ +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ | | Aim | pre-commit | CI/CD | Python version | +===============================================================================================+==================================================================+============+=======+===========================================+ -| `Pytest `__ | Execute unit tests and functional tests | πŸ‘ | πŸ‘ | | +| `Pytest `__ | Execute unit tests and functional tests | - | πŸ‘ | | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ | `Black `__ | Python code formatter | πŸ‘ | πŸ‘ | No python version (Black version 22.8.0) | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ @@ -361,7 +361,7 @@ Ruff should be used that way : .. note:: - To maintain consitency, make sure to stick to version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is be used in the CI. + To maintain consitency, make sure to stick to version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is used in the CI. @@ -377,11 +377,11 @@ Push your changes to your fork repository During this process, pre-commit hooks will be run. Your commit will be allowed only if quality requirements are fulfilled. -If you encounter errors, Black can be run using the following command : +If you encounter errors, Black ad Ruff can be run using the following command : :: - pre-commit run --all-file + pre-commit run --all-files We follow a `commit message convention `__, to have consistent git messages. The goal is to increase readability and ease of contribution. We use `commit-lint `__ From 5f3ce6802e98cea90a06fff5eab500603bd94c1f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Fri, 31 Mar 2023 07:49:55 +0200 Subject: [PATCH 03/22] Apply suggestions from code review Co-authored-by: Son Pham-Ba --- CONTRIBUTING.rst | 2 +- docs/source/maintainers_guidelines.rst | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index b60f532b..db8cb1d4 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -377,7 +377,7 @@ Push your changes to your fork repository During this process, pre-commit hooks will be run. Your commit will be allowed only if quality requirements are fulfilled. -If you encounter errors, Black ad Ruff can be run using the following command : +If you encounter errors, Black and Ruff can be run using the following command : :: diff --git a/docs/source/maintainers_guidelines.rst b/docs/source/maintainers_guidelines.rst index 65a2c06f..349477f8 100644 --- a/docs/source/maintainers_guidelines.rst +++ b/docs/source/maintainers_guidelines.rst @@ -121,7 +121,7 @@ Reviewing process The main branch is protected and requires at least one review before merging. -The review process is the following : +The review process is the following: #. A PR is opened by a contributor #. The CI pipeline is triggered and the status of the tests is reported in the PR. @@ -134,7 +134,7 @@ The review process is the following : Continous intergration (CI) testing tools =========================================== -Currently, on each Pull Request, GitHub Actions are configured as follow : +Currently, on each Pull Request, GitHub Actions are configured as follow: +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ @@ -156,7 +156,7 @@ Currently, on each Pull Request, GitHub Actions are configured as follow : +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ | `CodeBeat `__ | Automated code review and analysis tools | `disdrodb `__ | all versions according to GitHub workflow | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ -| `CodeScene `__ | Automated code review and analysis tools | - | ? | +| `CodeScene `__ | Automated code review and analysis tools | | ? | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ | `CodeFactor `__ | Automated code review and analysis tools | `disdrodb `__ | ? | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ From b86dd0633598e255cec861da58b931e2442ae533 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Fri, 31 Mar 2023 07:55:10 +0200 Subject: [PATCH 04/22] doc(update) : Add ruff version --- CONTRIBUTING.rst | 2 +- docs/source/maintainers_guidelines.rst | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index db8cb1d4..ba403017 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -252,7 +252,7 @@ To maintain a high code quality, we use `pre-commit `__ +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ | `Black `__ | Python code formatter | πŸ‘ | πŸ‘ | No python version (Black version 22.8.0) | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `Ruff `__ | Python linter | πŸ‘ | πŸ‘ | ? | +| `Ruff `__ | Python linter | πŸ‘ | πŸ‘ | (Ruff version 0.0.2570) | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ | `pre-commit.ci `__ | Run pre-commit | | | | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ diff --git a/docs/source/maintainers_guidelines.rst b/docs/source/maintainers_guidelines.rst index 349477f8..b30b0618 100644 --- a/docs/source/maintainers_guidelines.rst +++ b/docs/source/maintainers_guidelines.rst @@ -144,7 +144,7 @@ Currently, on each Pull Request, GitHub Actions are configured as follow: +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ | `Black `__ | Python code formatter | | No python version (Black version 22.8.0) | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ -| `Ruff `__ | Python linter | | ? | +| `Ruff `__ | Python linter | | (Ruff version 0.0.2570) | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ | `pre-commit.ci `__ | Run pre-commit as defined in pre-commit-config.yaml | | | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ From 24583f7eea9ea8622c5595addbc9a4cee37f7ede Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Tue, 4 Apr 2023 13:07:52 +0200 Subject: [PATCH 05/22] doc(update) : add pre-commit-ci --- CONTRIBUTING.rst | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index ba403017..7f2cdbec 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -78,7 +78,7 @@ commit and prints the error. Currently, DISDRODB only tests that the code to be committed complies with black's format style and the ruff linter. In case that the commit is aborted, you only need to run black agains you code. -This can be done by running ``black .`` or ``ruff check .`` +This can be done by running ``black .`` or ``ruff check .`` .. note:: To maintain consitency, please use version and configuration defined into `.pre-commit-config.yaml`). @@ -89,7 +89,7 @@ The can also be done with ``pre-commit run --all-files``. This is recommended s indicates if the commit contained any formatting errors (that are automatically corrected). -More info on pre-commit and CI tools in the Code quality ans testing section `Code quality and testing section <#code-quality-control-and-testing>`__ +More info on pre-commit and CI tools in the Code quality ans testing section `Code quality and testing section <#code-quality-control-and-testing>`__ @@ -254,7 +254,7 @@ To maintain a high code quality, we use `pre-commit `__ +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ | `Ruff `__ | Python linter | πŸ‘ | πŸ‘ | (Ruff version 0.0.2570) | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `pre-commit.ci `__ | Run pre-commit | | | | +| `pre-commit.ci `__ | Run pre-commit | | πŸ‘ | | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ | Coverage | Measure the code coverage of the project's unit tests | - | πŸ‘ | all versions according to GitHub workflow | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ @@ -274,7 +274,7 @@ In the table above, some CI tool are mentioned for your information, but does no **Pytest** -DISDRODB tests are written using the third-party `pytest `_ package. +DISDRODB tests are written using the third-party `pytest `_ package. DISDRODB full testing pipeline can be executed by running: @@ -344,7 +344,7 @@ Black should be used that way : .. note:: - To maintain consitency, make sure to stick to version defined in the `.pre-commit-config.yaml` file. This version will be used in the CI. + To maintain consitency, make sure to stick to version defined in the `.pre-commit-config.yaml` file. This version will be used in the CI. @@ -361,8 +361,8 @@ Ruff should be used that way : .. note:: - To maintain consitency, make sure to stick to version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is used in the CI. - + To maintain consitency, make sure to stick to version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is used in the CI. + From ddaf6e376ab4f9f5fb9fd84ec328965a75a92ab7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 1 May 2023 17:08:16 +0200 Subject: [PATCH 06/22] feat() : update gitignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 1cdd3e80..edbf485f 100644 --- a/.gitignore +++ b/.gitignore @@ -162,3 +162,4 @@ docs\source\reader_preparation.ipynb /disdrodb/tests/temp/ /disdrodb/tests/pytest_files/test_folders_files_creation/* !disdrodb/tests/pytest_files/test_folders_files_creation/.gitkeep +disdrodb-dev From 1f8dfed813c611d191eac963dc7e36fcf6aff722 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 1 May 2023 17:12:22 +0200 Subject: [PATCH 07/22] fix() : trim trailing whitespace --- docs/source/maintainers_guidelines.rst | 12 +----------- 1 file changed, 1 insertion(+), 11 deletions(-) diff --git a/docs/source/maintainers_guidelines.rst b/docs/source/maintainers_guidelines.rst index b30b0618..4e9a54e8 100644 --- a/docs/source/maintainers_guidelines.rst +++ b/docs/source/maintainers_guidelines.rst @@ -134,7 +134,7 @@ The review process is the following: Continous intergration (CI) testing tools =========================================== -Currently, on each Pull Request, GitHub Actions are configured as follow: +Currently, on each Pull Request, GitHub Actions are configured as follow: +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ @@ -160,13 +160,3 @@ Currently, on each Pull Request, GitHub Actions are configured as follow: +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ | `CodeFactor `__ | Automated code review and analysis tools | `disdrodb `__ | ? | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ - - - - - - - - - - From 892b11d59d3c513e4e9af5465c10a817ea9c4d63 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 1 May 2023 21:21:02 +0200 Subject: [PATCH 08/22] refactor() : slip description from folder tree, add new items --- docs/source/overview.rst | 245 ++++++++++++++++++++++++++++----------- 1 file changed, 178 insertions(+), 67 deletions(-) diff --git a/docs/source/overview.rst b/docs/source/overview.rst index b391c394..476539ad 100644 --- a/docs/source/overview.rst +++ b/docs/source/overview.rst @@ -1,84 +1,195 @@ -======== -Overview -======== - -DISDRODB: A global database of raindrop size distribution observations - - -Motivation -================ - -The raindrop size distribution (DSD) describes the concentration and size -distributions of raindrops in a volume of air. -It is a crucial piece of information to model the propagation of microwave signals -through the atmosphere (key for telecommunication and weather radar remote sensing calibration), -to improve microphysical schemes in numerical weather prediction models, and -to understand land surface processes (rainfall interception, soil erosion). - -The need for understanding the DSD spatio-temporal variability has led scientists -all around the globe to β€œcount the drops” by deploying DSD recording instruments -known as disdrometers. -Numerous measurement campaigns have been run by various meteorological services, -national agencies (e.g. the NASA Precipitation Measurement Mission - PMM - Science Team), -and university research groups. -However, only a small fraction of those data is easily accessible. -Data are stored in disparate formats with poor documentation, making them -difficult to share, analyse, compare and re-use. - -Additionally, very limited software is currently publicly available for DSD processing. - -This software aims to define a standard format to save disdrometer data. - - +======================== Software Structure ======================== -Here below is described the current structure of the software: +Overview of the disdrodb project folders structure +============================================================ + + +The current software structure is described below: -| πŸ“ data/ : *Sample data* +| πŸ“ data/ | πŸ“ disdrodb/ -| β”œβ”€β”€ πŸ“ l0 : Contains the software to produce the DISDRODB L0 products -| β”œβ”€β”€ πŸ“ configs : Contains the specifications of various types of disdrometers -| β”œβ”€β”€ πŸ“ `` : e.g. OTT_Parsivel, OTT_Parsivel2, Thies_LPM, RD_80 -| β”œβ”€β”€ πŸ“œ \*.yml : YAML files defining sensor characteristics (e.g. diameter and velocity bins) +| β”œβ”€β”€ πŸ“ api +| β”œβ”€β”€ πŸ“œ checks.py +| β”œβ”€β”€ πŸ“œ info.py +| β”œβ”€β”€ πŸ“œ io.py +| β”œβ”€β”€ πŸ“œ metadata.py +| β”œβ”€β”€ πŸ“ data_transfer +| β”œβ”€β”€ πŸ“œ download_data.py +| β”œβ”€β”€ πŸ“œ upload_data.py +| β”œβ”€β”€ πŸ“ l0 +| β”œβ”€β”€ πŸ“ configs +| β”œβ”€β”€ πŸ“ `` +| β”œβ”€β”€ πŸ“œ \*.yml | β”œβ”€β”€ πŸ“ manuals -| β”œβ”€β”€ πŸ“œ \*.pdf: Official disdrometers documentation +| β”œβ”€β”€ πŸ“œ \*.pdf | β”œβ”€β”€ πŸ“ readers -| β”œβ”€β”€ πŸ“ `` : e.g. GPM, ARM, EPFL, ... -| β”œβ”€β”€ πŸ“œ \.py : Readers to transform raw data into DISDRODB L0 products -| β”œβ”€β”€ πŸ“ scripts : Contains a set of python scripts to be called from the terminal to launch the L0 processing -| β”œβ”€β”€ πŸ“œ run_disdrodb_l0_station.py : Script launching the L0 processing for a specific station -| β”œβ”€β”€ πŸ“œ run_disdrodb_l0 : Script launching the L0 processing for specific portion of the DISDRODB archive -| β”œβ”€β”€ πŸ“œ *.py -| β”œβ”€β”€ πŸ“œ check_configs.py : Contain functions checking the sensor configs YAML files -| β”œβ”€β”€ πŸ“œ check_metadata.py : Contain functions checking the metadata YAML files -| β”œβ”€β”€ πŸ“œ check_standards.py : Contain functions checking that DISDRODB standards are met -| β”œβ”€β”€ πŸ“œ io.py : Core functions to read/write files and create/remove directories -| β”œβ”€β”€ πŸ“œ issue.py : Code to manage the issues YAML files and exclude erroneous timesteps during L0 processing -| β”œβ”€β”€ πŸ“œ l0a_processing.py : Contain the functions to process raw data files to L0A format (Parquet) -| β”œβ”€β”€ πŸ“œ l0b_processing.py : Contain the functions to process raw data files to L0B format (netCDF4) -| |── πŸ“œ l0b_concat.py : Contain the functions to concat multiple L0B files into a single L0B netCDF -| β”œβ”€β”€ πŸ“œ l0b_processing.py : Contain the functions to run the DISDRODB L0 processing -| |── πŸ“œ l0_reader.py : Contain the functions to check and retrieve the DISDRODB readers -| β”œβ”€β”€ πŸ“œ metadata.py : Code to read/write the metadata YAML files -| β”œβ”€β”€ πŸ“œ standards.py : Contain the functions to encode the L0 sensor specifications defined in L0.configs -| β”œβ”€β”€ πŸ“œ summary.py : Contain the functions to define a summary for each station -| β”œβ”€β”€ πŸ“œ template_tools.py : Helpers to create DISDRODB readers +| β”œβ”€β”€ πŸ“ `` +| β”œβ”€β”€ πŸ“œ \.py +| β”œβ”€β”€ πŸ“ scripts +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0_station.py +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0 +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0a.py +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0a_station.py +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0b.py +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0b_station.py +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0b_concat.py +| β”œβ”€β”€ πŸ“œ run_disdrodb_l0b_concat_station.py +| β”œβ”€β”€ πŸ“œ check_configs.py +| β”œβ”€β”€ πŸ“œ check_metadata.py +| β”œβ”€β”€ πŸ“œ check_standards.py +| β”œβ”€β”€ πŸ“œ io.py +| β”œβ”€β”€ πŸ“œ issue.py +| β”œβ”€β”€ πŸ“œ l0_processing.py +| β”œβ”€β”€ πŸ“œ l0a_processing.py +| β”œβ”€β”€ πŸ“œ l0b_processing.py +| β”œβ”€β”€ πŸ“œ l0b_concat.py +| β”œβ”€β”€ πŸ“œ l0b_processing.py +| β”œβ”€β”€ πŸ“œ l0_reader.py +| β”œβ”€β”€ πŸ“œ metadata.py +| β”œβ”€β”€ πŸ“œ standards.py +| β”œβ”€β”€ πŸ“œ summary.py +| β”œβ”€β”€ πŸ“œ template_tools.py | β”œβ”€β”€ πŸ“ l1/ -| β”œβ”€β”€ Code not yet implemented. It will contain software to homogenize and quality check DISDRODB L0 products | β”œβ”€β”€ πŸ“ l2/ -| β”œβ”€β”€ Code not yet implemented. It will contain software to produce DISDRODB L2 products (i.e. DSD parameters, ...) +| β”œβ”€β”€ πŸ“ tests/ +| β”œβ”€β”€ πŸ“œ \*.py | β”œβ”€β”€ πŸ“ api/ | β”œβ”€β”€ πŸ“ utils/ -| β”œβ”€β”€ πŸ“œ logger.py : Logger functions -| β”œβ”€β”€ πŸ“œ scripts.py : Utility functions to run python scripts into the terminal -| β”œβ”€β”€ πŸ“œ netcdf.py : Utilty function to check and merge/concat multiple netCDF4 files -| πŸ“ docs/ *Documentation (generated with sphinx)* +| β”œβ”€β”€ πŸ“œ logger.py +| β”œβ”€β”€ πŸ“œ scripts.py +| β”œβ”€β”€ πŸ“œ netcdf.py +| πŸ“ docs/ | πŸ“ tutorials - β”œβ”€β”€ πŸ“œ reader_preparation.ipynb : Jupyter Notebook template to start developing a new reader | πŸ“œ .gitignore +| πŸ“œ .pre-commit-config.yaml +| πŸ“œ CODE_OF_CONDUCT.md +| πŸ“œ CONTRIBUTING.rst +| πŸ“œ environment.yml | πŸ“œ LICENSE -| πŸ“œ CONTRIBUTING.md +| πŸ“œ MANIFEST.in +| πŸ“œ pyproject.toml | πŸ“œ README.md +| πŸ“œ readthedocs.yml | πŸ“œ requirements.txt + + + + +Description of the disdrodb files and folders +================================================ + +The disdrodb folder contains the core software to process raw data files to DISDRODB L0 products. Here is a description of the files and folders: + ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| Type | Folder / files name | Description | ++=======+====================================+==============================================================================================================+ +| πŸ“ | api | Contains some generic functions | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | checks.py | Basic checks on paths | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | info.py | DISDRODB File Information and parser | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | io.py | Input output fuctions | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | metadata.py | Operation on metadata stations files | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | data_transfer | Contains scripts to upload or download stations's data | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | download_data.py | Functions to download stations' raw data | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | upload_data.py | Functions to upload to Zenodo stations' raw data | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | l0 | Contains the software to produce the DISDRODB L0 products | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | check_configs.py | Contain functionsChecking the sensorConfigs YAML files | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | check_metadata.py | Contain functionsChecking the metadata YAML files | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | check_standards.py | Contain functionsChecking that DISDRODB standards are met | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | io.py | Core functions to read/write files andCreate/remove directories | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | issue.py | Code to manage the issues YAML files and exclude erroneous time steps during L0 processing | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | l0_processing.py | Contain the functions to process raw data files to L0A and L0B | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | l0_reader.py | Contain the functions to check and retrieve the DISDRODB readers | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | l0a_processing.py | Contain the functions to process raw data files to L0A format (Parquet) | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | l0b_concat.py | Contain the functions to concatenate multiple L0B files into a single L0B netCDF | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | l0b_processing.py | Contain the functions to process raw data files to L0B format (netCDF4) | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | l0b_processing.py | Contain the functions to run the DISDRODB L0 processing | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | metadata.py | Code to read/write the metadata YAML files | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | standards.py | Contain the functions to encode the L0 sensor specifications defined in L0.configs | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | summary.py | Contain the functions to define a summary for each station | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | template_tools.py | Helpers to Create DISDRODB readers | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | configs | Contains the specifications of various types of disdrometers | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | | Name of the sensor (e.g. OTT_Parsivel, OTT_Parsivel2, Thies_LPM, RD_80) | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | *.yml | YAML files defining sensorCharacteristics (e.g. diameter and velocity bins) | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | manuals | Folder for the Official disdrometers documentation | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | *.pdf | Official disdrometers documentation | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | readers | Folder that contains all the readers functions | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | | e.g. GPM, ARM, EPFL, ... | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | .py | Readers to transform raw data into DISDRODB L0 products | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | scripts | Contains a set of python scripts to beCalled from the terminal to launch the L0 processing | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0_station.py | Script launching the L0 processing for a specific station | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0 | Script launching the L0 processing for specific portion of the DISDRODB archive | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0a.py | Script to run the L0A processing of DISDRODB stations | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0a_station.py | Script to run the L0A processing of a specific DISDRODB station from the terminal | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0b.py | Script to run the L0B processing of DISDRODB stations | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0b_station.py | Script to run the L0B processing of a specific DISDRODB station from the terminal | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0b_concat.py | Script to run the L0BConcatenation of available DISDRODB stations | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | run_disdrodb_l0b_concat_station.py | Script toConcatenate all L0B files of a specific DISDRODB station into a single netCDF | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | l1 | Code not yet implemented. It willContain software to homogenize and qualityCheck DISDRODB L0 products | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | l2 | Code not yet implemented. It willContain software to produce DISDRODB L2 products (i.e. DSD parameters, ...) | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | tests | Folder containing the tests (readers and unit tests) | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“ | utils | Folder to gather small, reusable functions orClasses | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | logger.py | Logger functions | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | scripts.py | Utility functions to run python scripts into the terminal | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ +| πŸ“œ | netcdf.py | Utility function toCheck and merge/concat multiple netCDF4 files | ++-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ + + + +Description of the other folders +================================================ + +Some other folder are included in the DISDRODB repository. Here is a short description of their content: + +* data : sample data to test the DISDRODB L0 l0_processing +* docs : documentation of the DISDRODB L0 processing +* tutorials : Jupyter notebooks to illustrate the DISDRODB L0 processing From 85da54e90b69450f96377d523af65d4454788c9f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 1 May 2023 21:25:26 +0200 Subject: [PATCH 09/22] refactor() : add motivation text, refactor the table of content --- docs/source/index.rst | 32 +++++++++++++++++++++++++++++++- 1 file changed, 31 insertions(+), 1 deletion(-) diff --git a/docs/source/index.rst b/docs/source/index.rst index 2458623f..090c607f 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -6,13 +6,43 @@ Welcome to disdroDB's documentation! ======================================= +DISDRODB: A global database of raindrop size distribution observations +Motivation +================ + +The raindrop size distribution (DSD) describes the concentration and size +distributions of raindrops in a volume of air. +It is a crucial piece of information to model the propagation of microwave signals +through the atmosphere (key for telecommunication and weather radar remote sensing calibration), +to improve microphysical schemes in numerical weather prediction models, and +to understand land surface processes (rainfall interception, soil erosion). + +The need for understanding the DSD spatio-temporal variability has led scientists +all around the globe to β€œcount the drops” by deploying DSD recording instruments +known as disdrometers. +Numerous measurement campaigns have been run by various meteorological services, +national agencies (e.g. the NASA Precipitation Measurement Mission - PMM - Science Team), +and university research groups. +However, only a small fraction of those data is easily accessible. +Data are stored in disparate formats with poor documentation, making them +difficult to share, analyse, compare and re-use. + +Additionally, very limited software is currently publicly available for DSD processing. + +This software aims to define a standard format to save disdrometer data. + + + +Documentation +============= + .. toctree:: :maxdepth: 2 - overview installation + overview data metadata readers From 8f750809012eb031cc0df4b58a01c84308995ecf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 1 May 2023 21:26:53 +0200 Subject: [PATCH 10/22] refactor() : update api --- docs/source/api/disdrodb.api.rst | 35 ++++++++++++++++ docs/source/api/disdrodb.l0.rst | 66 ++++++++++++++++-------------- docs/source/api/disdrodb.rst | 2 +- docs/source/api/disdrodb.utils.rst | 20 +++++++-- docs/source/api/modules.rst | 4 +- 5 files changed, 91 insertions(+), 36 deletions(-) diff --git a/docs/source/api/disdrodb.api.rst b/docs/source/api/disdrodb.api.rst index 11723a3d..8e321cb2 100644 --- a/docs/source/api/disdrodb.api.rst +++ b/docs/source/api/disdrodb.api.rst @@ -1,6 +1,41 @@ disdrodb.api package ==================== +Submodules +---------- + +disdrodb.api.checks module +-------------------------- + +.. automodule:: disdrodb.api.checks + :members: + :undoc-members: + :show-inheritance: + +disdrodb.api.info module +------------------------ + +.. automodule:: disdrodb.api.info + :members: + :undoc-members: + :show-inheritance: + +disdrodb.api.io module +---------------------- + +.. automodule:: disdrodb.api.io + :members: + :undoc-members: + :show-inheritance: + +disdrodb.api.metadata module +---------------------------- + +.. automodule:: disdrodb.api.metadata + :members: + :undoc-members: + :show-inheritance: + Module contents --------------- diff --git a/docs/source/api/disdrodb.l0.rst b/docs/source/api/disdrodb.l0.rst index 60a6ef16..eb3a1f4b 100644 --- a/docs/source/api/disdrodb.l0.rst +++ b/docs/source/api/disdrodb.l0.rst @@ -12,83 +12,82 @@ Subpackages Submodules ---------- -disdrodb.l0.l0a\_processing module ----------------------------------- +disdrodb.l0.check\_configs module +--------------------------------- -.. automodule:: disdrodb.l0.l0a_processing +.. automodule:: disdrodb.l0.check_configs :members: :undoc-members: :show-inheritance: -disdrodb.l0.l0b\_processing module +disdrodb.l0.check\_metadata module ---------------------------------- -.. automodule:: disdrodb.l0.l0b_processing +.. automodule:: disdrodb.l0.check_metadata :members: :undoc-members: :show-inheritance: -disdrodb.l0.l0b\_concat module ----------------------------------- +disdrodb.l0.check\_standards module +----------------------------------- -.. automodule:: disdrodb.l0.l0b_concat +.. automodule:: disdrodb.l0.check_standards :members: :undoc-members: :show-inheritance: -disdrodb.l0.l0\_processing module ---------------------------------- +disdrodb.l0.io module +--------------------- -.. automodule:: disdrodb.l0.l0_processing +.. automodule:: disdrodb.l0.io :members: :undoc-members: :show-inheritance: -disdrodb.l0.l0\_reader module --------------------------------------------- +disdrodb.l0.issue module +------------------------ -.. automodule:: disdrodb.l0.l0_reader +.. automodule:: disdrodb.l0.issue :members: :undoc-members: :show-inheritance: - -disdrodb.l0.check\_configs module +disdrodb.l0.l0\_processing module --------------------------------- -.. automodule:: disdrodb.l0.check_configs +.. automodule:: disdrodb.l0.l0_processing :members: :undoc-members: :show-inheritance: -disdrodb.l0.check\_metadata module ----------------------------------- +disdrodb.l0.l0\_reader module +----------------------------- -.. automodule:: disdrodb.l0.check_metadata +.. automodule:: disdrodb.l0.l0_reader :members: :undoc-members: :show-inheritance: -disdrodb.l0.check\_standards module ------------------------------------ +disdrodb.l0.l0a\_processing module +---------------------------------- -.. automodule:: disdrodb.l0.check_standards +.. automodule:: disdrodb.l0.l0a_processing :members: :undoc-members: :show-inheritance: -disdrodb.l0.io module ---------------------- +disdrodb.l0.l0b\_concat module +------------------------------ -.. automodule:: disdrodb.l0.io +.. automodule:: disdrodb.l0.l0b_concat :members: :undoc-members: :show-inheritance: -disdrodb.l0.issue module ------------------------- +disdrodb.l0.l0b\_processing module +---------------------------------- -.. automodule:: disdrodb.l0.issue +.. automodule:: disdrodb.l0.l0b_processing :members: :undoc-members: :show-inheritance: @@ -110,7 +109,7 @@ disdrodb.l0.standards module :show-inheritance: disdrodb.l0.summary module ----------------------------- +-------------------------- .. automodule:: disdrodb.l0.summary :members: @@ -125,6 +124,13 @@ disdrodb.l0.template\_tools module :undoc-members: :show-inheritance: +disdrodb.l0.utils\_nc module +---------------------------- + +.. automodule:: disdrodb.l0.utils_nc + :members: + :undoc-members: + :show-inheritance: Module contents --------------- diff --git a/docs/source/api/disdrodb.rst b/docs/source/api/disdrodb.rst index 11f20197..ae4358d1 100644 --- a/docs/source/api/disdrodb.rst +++ b/docs/source/api/disdrodb.rst @@ -7,10 +7,10 @@ Subpackages .. toctree:: :maxdepth: 4 + disdrodb.api disdrodb.l0 disdrodb.l1 disdrodb.l2 - disdrodb.api disdrodb.utils Module contents diff --git a/docs/source/api/disdrodb.utils.rst b/docs/source/api/disdrodb.utils.rst index 2cd05de9..72f62cf6 100644 --- a/docs/source/api/disdrodb.utils.rst +++ b/docs/source/api/disdrodb.utils.rst @@ -4,6 +4,14 @@ disdrodb.utils package Submodules ---------- +disdrodb.utils.compression module +--------------------------------- + +.. automodule:: disdrodb.utils.compression + :members: + :undoc-members: + :show-inheritance: + disdrodb.utils.logger module ---------------------------- @@ -12,9 +20,8 @@ disdrodb.utils.logger module :undoc-members: :show-inheritance: - disdrodb.utils.netcdf module ------------------------------ +---------------------------- .. automodule:: disdrodb.utils.netcdf :members: @@ -22,13 +29,20 @@ disdrodb.utils.netcdf module :show-inheritance: disdrodb.utils.scripts module ------------------------------- +----------------------------- .. automodule:: disdrodb.utils.scripts :members: :undoc-members: :show-inheritance: +disdrodb.utils.zenodo module +---------------------------- + +.. automodule:: disdrodb.utils.zenodo + :members: + :undoc-members: + :show-inheritance: Module contents --------------- diff --git a/docs/source/api/modules.rst b/docs/source/api/modules.rst index 9641cfa3..8bb2e42e 100644 --- a/docs/source/api/modules.rst +++ b/docs/source/api/modules.rst @@ -1,5 +1,5 @@ -disdrodb-fork -============= +LTE-disdrodb +============ .. toctree:: :maxdepth: 4 From d4b16af8373caedadf25c2b8ddc922cb5dfee269 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 1 May 2023 21:28:29 +0200 Subject: [PATCH 11/22] refactor() : add info to generate the doc --- docs/README.md | 25 +++++++++++++++---------- 1 file changed, 15 insertions(+), 10 deletions(-) diff --git a/docs/README.md b/docs/README.md index 601910fb..72a6d7b0 100644 --- a/docs/README.md +++ b/docs/README.md @@ -1,22 +1,27 @@ # Introduction -This documentation is generated by Sphinx. +DISDRODB’s documentation is built using Sphinx. All documentation lives in the `docs/` directory of the project repository. -## Getting started +## Getting started to generate the documentation locally -Sphinx should be installed with your conda environment. +### Set the python environement -``` -conda env create -f environment.yml -conda activate disdrodb -``` +Sphinx should be installed within your python environment. Use the vitual environment of the disdrodb project. More infroamtion about the virtual environment can be found in the [installation guide](https://disdrodb.readthedocs.io/en/latest/installation.html#installation-for-standard-users). -## Enrich the documentation -1. Read and agree to the contributing guidelines. -2. Run the following command to generate the doc : +### Generate the docuementation + +Run the following command to generate the doc : ``` sphinx-build -b html source build ``` + + + +The output of the previous command should be checked for warnings and errors. In case of any changes made to the code such as adding new classes or +functions, it is necessary to regenerate the disdrodb documentation +files before running the command mentioned above.: + + sphinx-apidoc -f -o source/api .. ../setup.py From 4060c0417f103817a8a7a328f346dac1a6b4e2a1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Tue, 2 May 2023 11:22:37 +0200 Subject: [PATCH 12/22] feat() : add data upload and download sections --- docs/source/data.rst | 143 ++++++++++++++++++++++++++++++---- docs/source/static/zenodo.png | Bin 0 -> 106174 bytes 2 files changed, 126 insertions(+), 17 deletions(-) create mode 100644 docs/source/static/zenodo.png diff --git a/docs/source/data.rst b/docs/source/data.rst index d9734fea..835ae759 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -3,36 +3,145 @@ Data ========================= -Access to the raw disdrometer measurements and metadata is available through a -separate GitHub repository : `disdrodb-data `__. +Users can make their own data accessible to the community. Disdrodb +provides a central storage for code (readers), issues and metadata. +However, the raw data itself must be stored by the data provider due to +size limitations. -The `disdrodb-data` GitHub repository includes: +Two types of data must be distinguished: -* The stations measurements in the form of a JSON file with URLs links to the downloadable data (not included in the repository due to GitHub's file size limitation). -* The stations metadata in YAML file format. -* The stations issue in YAML file format. -* Some python code to download the datasets using the URLs provided in the JSON files. -* Some python code to curate the metadata archive. +- Station Raw Data: + - Stores disdrometer measurements for days, weeks, and years. + - This dataset can be very heavy. + - No central storage is provided. + +- Station Metadata and Issues: + + - Stores metadata on disdrometer measurements or measurement issues. + - This dataset should be light. + - Central storage is provided in the ``disdro-data`` Git repository. + - The metadata folder contains a YAML metadata file called + ``metadata.yml``. It has a ``data_url`` key that references the + raw data. Only one zip file per station is allowed. + +How to download metadatas and issues ? +-------------------------------------- You can clone the disdrodb-data repository with -.. code-block:: bash +.. code:: bash git clone https://github.com/ltelab/disdrodb-data.git +However, if you plan to add new data or metadata to the archive, first +fork the repository on your GitHub account and then clone the forked +repository. + +How to upload metadatas and issues? +------------------------------------ + +Do you want to contribute to the project with your own data? Great! Just +follow these steps: + +1. Fork the ``disdro-data`` Git repository. + +2. Create a new branch. + + .. code:: bash + + git checkout -b "reader--" + +3. Add your data source, campaign names, and station name to the current + folder structure. + +4. Add your metadata YAML file for each station ``station_name.yml``, in + a metadata directory in the campaign directory. We recommend you + copy-paste an existing metadata YAML file to get the correct + structure. + +5. (Optional) Add your issues YAML files, for each station + ``station_name.yml``, in an issue directory located in the campaign + directory. We recommend you copy-paste an existing metadata YAML file + to get the correct structure. + +6. Test that the integration of your new dataset functions by deleting + your data locally and re-fetching it through the process detailed + above. + +7. Commit your changes and push your branch to GitHub. + +8. `Create a pull + request `__, + and wait for a maintainer to accept it! + +9. If you struggle with this process, don’t hesitate to raise an + `issue `__ + so we can help! + +How to download raw data locally ? +-------------------------------------- + +Prerequisite: You have already set up the folder hierarchy as described +above. + +Objective: You would like to download the raw data referenced in the +``metadata.yml`` file. + +In order to download data, you should be in the virtual environment. + +To download all data, just run: + +.. code:: bash + + download_disdrodb_archive --data_sources --campaign_names --station_names --force true + +The ``disdrodb_dir`` parameter is compulsory and must include the path +of the root folder, ending with ``DISDROD``. The other parameters are +optional and are meant to restrict the download processing to a specific +data source, campaign, or station. + +Parameters: + +- ``data_sources`` (optional): the source of the data +- ``campaign_names`` (optional): the name of the campaign. +- ``station_names`` (optional): the name of the station. +- ``force`` (optional, default = ``False``): a boolean value indicating + whether existing files should be overwritten. + +How to upload raw data to Zenodo? +--------------------------------- + +We provide users with a code to upload their station’s raw data to +Zenodo. + +.. code:: bash + + upload_disdrodb_archive --data_sources --campaign_names --station_names --platform --force true -However, if you plan to add new data or metadata to the archive, first fork the -repository on your GitHub account and then clone the forked repository. +The ``disdrodb_dir`` parameter is compulsory and must include the path +of the root folder, ending with ``DISDROD``. The other parameters are +optional and are meant to restrict the upload processing to a specific +data source, campaign, or station. -Download DISDRODB Raw Data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Parameters: -TODO: @ RΓ©gis : add docs related to disdrodb-data repo +- ``data_sources`` (optional): the source of the data. +- ``campaign_names`` (optional): the name of the campaign. +- ``station_names`` (optional): the name of the station. +- ``platform`` (optional, default is Zenodo). +- ``force`` (optional, default = ``False``): a boolean value indicating + whether files already uploaded somewhere else should still be + included. +Currently, only Zenodo is supported. -Upload DISDRODB Raw Data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +After running this command, the user will be prompted to insert a Zenodo +token. Once the data is uploaded, a link will be displayed that the user +must use to go to the Zenodo web interface and manually publish the +data. +To get a Zenodo token, go to +https://zenodo.org/account/settings/applications/tokens/new/ -TODO: @ RΓ©gis : add docs related to disdrodb-data repo +.. image:: /static/zenodo.png diff --git a/docs/source/static/zenodo.png b/docs/source/static/zenodo.png new file mode 100644 index 0000000000000000000000000000000000000000..3e4b81e1d8fd4e66619739ef4acf89ccbb1e3da3 GIT binary patch literal 106174 zcmYhibyU=Sv^^}KGzuc!Jv0nRr?f~)cMToV4We{PcO#9!&@Bx^hrrO%9n$@NdG5XM z`u)i)7W3i6KIiPSPnfcz3>G>u`imDYu;gSVRbRY#348GZQ4bXv_ym3V&|>h8;&znVcb^v|(?V29;%-6&kr=>fCyt<482^g<=*_5s#qqYFx8U~K(cRgU>!pr&#WvYYOV-0L_ie`M zn{M1MPMd@48^3I?QqqZTH^@=0g%xp`HnfZa={z~|`>jG!RkjveNA%-9CNZs_i}5Pi zdGjDzKhYF5*RpfLf9`RguG8Levw;eZhb8LsIZT&O1f|~`q+b5rScG4sk~3IA%QI7? zB)@HSdYJ|Xo#7bFak09;wbl{Eiog29u;ILb6Jng=)q~(nu#TYN+AxUmt7<$(yG;PUtcNe7ifi 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zz)E+xkEW%iB@v&C#ZwoE&`o`B-A;dKVP&P_>|7-oLGT{w&Rv%uUs|sgeXq@1&pfFt z$pFoURc|vhGoStJ#B$yHE&~_KEH5tj{-1s#+8%7;=F|b~7MtIU0_Uwp#<12sQC!}ikFhM%7>I4y?B4W->WQ1D-e z1!uujmvh+xA=Huh`zEi^lkkQGCJ8-}myY54eH#Ni53s_L1+K+RQAN z>_jdID9j9yq7gC0x;(sp(1@?4$qAx7SgET_De3ozjq(_88tU)9@fKkLyWV&Iuir=k zR(W5EbshZ=S$>xkxiS3wUDw}r_=NzZrGT1TBZ9KJXk7 z$FLs9mHxL7q6KP1&O$wj)Sm|aUGlXw&~wDPbN^4p|Jvf#?f Date: Tue, 2 May 2023 11:26:18 +0200 Subject: [PATCH 13/22] fix() : typo and other PR comment --- docs/README.md | 8 ++++---- docs/source/overview.rst | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/README.md b/docs/README.md index 72a6d7b0..c3e852a4 100644 --- a/docs/README.md +++ b/docs/README.md @@ -4,13 +4,13 @@ DISDRODB’s documentation is built using Sphinx. All documentation lives in the ## Getting started to generate the documentation locally -### Set the python environement +### Set the python environment -Sphinx should be installed within your python environment. Use the vitual environment of the disdrodb project. More infroamtion about the virtual environment can be found in the [installation guide](https://disdrodb.readthedocs.io/en/latest/installation.html#installation-for-standard-users). +Sphinx should be installed within your python environment. Use the virtual environment of the disdrodb project. More information about the virtual environment can be found in the [installation guide](https://disdrodb.readthedocs.io/en/latest/installation.html#installation-for-standard-users). -### Generate the docuementation +### Generate the documentation Run the following command to generate the doc : @@ -22,6 +22,6 @@ sphinx-build -b html source build The output of the previous command should be checked for warnings and errors. In case of any changes made to the code such as adding new classes or functions, it is necessary to regenerate the disdrodb documentation -files before running the command mentioned above.: +files before running the command mentioned above : sphinx-apidoc -f -o source/api .. ../setup.py diff --git a/docs/source/overview.rst b/docs/source/overview.rst index 476539ad..14f4e0fd 100644 --- a/docs/source/overview.rst +++ b/docs/source/overview.rst @@ -144,7 +144,7 @@ The disdrodb folder contains the core software to process raw data files to DISD +-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ | πŸ“œ | *.pdf | Official disdrometers documentation | +-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | readers | Folder that contains all the readers functions | +| πŸ“ | readers | Folder that contains all the readers functions | +-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ | πŸ“ | | e.g. GPM, ARM, EPFL, ... | +-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ From 65b92b746c902017b0a2087b75a9d7f13bad8ed3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Thu, 4 May 2023 08:53:33 +0200 Subject: [PATCH 14/22] Apply suggestions from code review Co-authored-by: Gionata Ghiggi --- CONTRIBUTING.rst | 14 +++++++------- docs/source/data.rst | 8 ++++---- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 7f2cdbec..057cfba0 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -81,7 +81,7 @@ In case that the commit is aborted, you only need to run black agains you code. This can be done by running ``black .`` or ``ruff check .`` .. note:: - To maintain consitency, please use version and configuration defined into `.pre-commit-config.yaml`). + To maintain consistency, please use version and configuration defined into `.pre-commit-config.yaml`. @@ -89,7 +89,7 @@ The can also be done with ``pre-commit run --all-files``. This is recommended s indicates if the commit contained any formatting errors (that are automatically corrected). -More info on pre-commit and CI tools in the Code quality ans testing section `Code quality and testing section <#code-quality-control-and-testing>`__ +More info on pre-commit and CI tools are provided in the Code quality and testing section `Code quality and testing section <#code-quality-control-and-testing>`__ @@ -283,7 +283,7 @@ DISDRODB full testing pipeline can be executed by running: pytest disdrodb -The tests located in the `disdrob/tests` folder are used to test various functions of the code and are automatically run when changes are pushed to the main repository through a GitHub Pull Request. +The tests located in the `disdrodb/tests` folder are used to test various functions of the code and are automatically run when changes are pushed to the main repository through a GitHub Pull Request. .. code-block:: bash @@ -291,7 +291,7 @@ The tests located in the `disdrob/tests` folder are used to test various functio -Tests located in the `disdrob/test_readers` folder are utilized to test readers. They are **not** run automatically when you push your changes to the main repository via a GitHub Pull Request. +Tests located in the `disdrodb/test_readers` folder are utilized to test readers. They are **not** run automatically when you push your changes to the main repository via a GitHub Pull Request. Tests are in place to ensure that a particular reader functions properly. If a new reader is added, a corresponding test should also be added. @@ -344,7 +344,7 @@ Black should be used that way : .. note:: - To maintain consitency, make sure to stick to version defined in the `.pre-commit-config.yaml` file. This version will be used in the CI. + To maintain consistency, make sure to stick to the version defined in the `.pre-commit-config.yaml` file. This version will be used in the CI. @@ -361,7 +361,7 @@ Ruff should be used that way : .. note:: - To maintain consitency, make sure to stick to version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is used in the CI. + To maintain consistency, make sure to stick to the version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is used in the CI. @@ -377,7 +377,7 @@ Push your changes to your fork repository During this process, pre-commit hooks will be run. Your commit will be allowed only if quality requirements are fulfilled. -If you encounter errors, Black and Ruff can be run using the following command : +If you encounter errors, Black and Ruff can be run using the following command: :: diff --git a/docs/source/data.rst b/docs/source/data.rst index 835ae759..5690dcef 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -3,7 +3,7 @@ Data ========================= -Users can make their own data accessible to the community. Disdrodb +Users can make their own data accessible to the community. DISDRODB provides a central storage for code (readers), issues and metadata. However, the raw data itself must be stored by the data provider due to size limitations. @@ -18,12 +18,12 @@ Two types of data must be distinguished: - Station Metadata and Issues: - - Stores metadata on disdrometer measurements or measurement issues. + - Stores a standard set of metadata and measurement issues of each disdrometer - This dataset should be light. - Central storage is provided in the ``disdro-data`` Git repository. - The metadata folder contains a YAML metadata file called - ``metadata.yml``. It has a ``data_url`` key that references the - raw data. Only one zip file per station is allowed. + ``metadata.yml``. It has a ``data_url`` key that references to the remote/online repository where + station's raw data are stored. At this URL, a single zip file provides all data available for a given station. How to download metadatas and issues ? -------------------------------------- From 9fcb8532994975c3136b1c2b7c04d4cf6ab47ca4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Thu, 4 May 2023 09:09:25 +0200 Subject: [PATCH 15/22] Apply suggestions from code review Co-authored-by: Gionata Ghiggi --- docs/source/data.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/data.rst b/docs/source/data.rst index 5690dcef..0fa050af 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -25,10 +25,10 @@ Two types of data must be distinguished: ``metadata.yml``. It has a ``data_url`` key that references to the remote/online repository where station's raw data are stored. At this URL, a single zip file provides all data available for a given station. -How to download metadatas and issues ? +How to download the DISDRODB metadata and issues archive ? -------------------------------------- -You can clone the disdrodb-data repository with +You can clone the disdrodb-data repository with: .. code:: bash @@ -38,7 +38,7 @@ However, if you plan to add new data or metadata to the archive, first fork the repository on your GitHub account and then clone the forked repository. -How to upload metadatas and issues? +How to upload new station metadata? ------------------------------------ Do you want to contribute to the project with your own data? Great! Just @@ -46,13 +46,13 @@ follow these steps: 1. Fork the ``disdro-data`` Git repository. -2. Create a new branch. +2. Create a new branch: .. code:: bash git checkout -b "reader--" -3. Add your data source, campaign names, and station name to the current +3. Add your data source and campaign name directory to the current folder structure. 4. Add your metadata YAML file for each station ``station_name.yml``, in From ed94ac1391ab3668582136bf99c667bba6a2e9b5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Thu, 4 May 2023 09:10:56 +0200 Subject: [PATCH 16/22] Apply suggestions from code review Co-authored-by: Gionata Ghiggi --- docs/source/data.rst | 20 ++++++++++---------- docs/source/maintainers_guidelines.rst | 2 +- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/docs/source/data.rst b/docs/source/data.rst index 0fa050af..727b68e2 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -53,16 +53,16 @@ follow these steps: git checkout -b "reader--" 3. Add your data source and campaign name directory to the current - folder structure. + disdrodb-data structure. -4. Add your metadata YAML file for each station ``station_name.yml``, in +4. Add your metadata YAML file for each station (following the name format convention ``.yml``) in a metadata directory in the campaign directory. We recommend you copy-paste an existing metadata YAML file to get the correct structure. 5. (Optional) Add your issues YAML files, for each station - ``station_name.yml``, in an issue directory located in the campaign - directory. We recommend you copy-paste an existing metadata YAML file + ``station_name.yml``, in an ``issues`` directory located in the campaign + directory. We recommend you to copy-paste an existing issue YAML file to get the correct structure. 6. Test that the integration of your new dataset functions by deleting @@ -85,19 +85,19 @@ How to download raw data locally ? Prerequisite: You have already set up the folder hierarchy as described above. -Objective: You would like to download the raw data referenced in the -``metadata.yml`` file. +Objective: You would like to download the raw data referenced in some metadata +``.yml`` file. -In order to download data, you should be in the virtual environment. +In order to download the data, you should be in a virtual environment with the disdrodb package installed ! To download all data, just run: .. code:: bash - download_disdrodb_archive --data_sources --campaign_names --station_names --force true + download_disdrodb_archive --data_sources --campaign_names --station_names --force true The ``disdrodb_dir`` parameter is compulsory and must include the path -of the root folder, ending with ``DISDROD``. The other parameters are +of the root folder, ending with ``DISDRODB``. The other parameters are optional and are meant to restrict the download processing to a specific data source, campaign, or station. @@ -120,7 +120,7 @@ Zenodo. upload_disdrodb_archive --data_sources --campaign_names --station_names --platform --force true The ``disdrodb_dir`` parameter is compulsory and must include the path -of the root folder, ending with ``DISDROD``. The other parameters are +of the root folder, ending with ``DISDRODB``. The other parameters are optional and are meant to restrict the upload processing to a specific data source, campaign, or station. diff --git a/docs/source/maintainers_guidelines.rst b/docs/source/maintainers_guidelines.rst index 4e9a54e8..cfd015f8 100644 --- a/docs/source/maintainers_guidelines.rst +++ b/docs/source/maintainers_guidelines.rst @@ -131,7 +131,7 @@ The review process is the following: -Continous intergration (CI) testing tools +Continuous intergration (CI) testing tools =========================================== Currently, on each Pull Request, GitHub Actions are configured as follow: From 55d1900d3837f87ae0e973c5814c8f4fae575b0f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Thu, 4 May 2023 09:35:27 +0200 Subject: [PATCH 17/22] fix() : small changes according to PR review --- docs/source/data.rst | 35 +++++++++++++++++++++++------------ 1 file changed, 23 insertions(+), 12 deletions(-) diff --git a/docs/source/data.rst b/docs/source/data.rst index 727b68e2..71185fe4 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -18,7 +18,7 @@ Two types of data must be distinguished: - Station Metadata and Issues: - - Stores a standard set of metadata and measurement issues of each disdrometer + - Stores a standard set of metadata and measurement issues of each disdrometer - This dataset should be light. - Central storage is provided in the ``disdro-data`` Git repository. - The metadata folder contains a YAML metadata file called @@ -56,7 +56,7 @@ follow these steps: disdrodb-data structure. 4. Add your metadata YAML file for each station (following the name format convention ``.yml``) in - a metadata directory in the campaign directory. We recommend you + the ``metadata`` directory of the campaign directory. We recommend you to copy-paste an existing metadata YAML file to get the correct structure. @@ -65,25 +65,25 @@ follow these steps: directory. We recommend you to copy-paste an existing issue YAML file to get the correct structure. -6. Test that the integration of your new dataset functions by deleting +6. Commit your changes and push your branch to GitHub. + +7. Test that the integration of your new dataset functions by deleting your data locally and re-fetching it through the process detailed above. -7. Commit your changes and push your branch to GitHub. - 8. `Create a pull request `__, and wait for a maintainer to accept it! -9. If you struggle with this process, don’t hesitate to raise an +9. If you struggle with this process, don’t hesitate to raise an `issue `__ so we can help! How to download raw data locally ? -------------------------------------- -Prerequisite: You have already set up the folder hierarchy as described -above. +Prerequisite: First clone the disdrodb-data repository as described +above to get the folder structure, metadatas and issues. Objective: You would like to download the raw data referenced in some metadata ``.yml`` file. @@ -103,12 +103,16 @@ data source, campaign, or station. Parameters: -- ``data_sources`` (optional): the source of the data -- ``campaign_names`` (optional): the name of the campaign. -- ``station_names`` (optional): the name of the station. +- ``data_sources`` (optional): Station data source. +- ``campaign_names`` (optional): Station campaign name. +- ``station_names`` (optional): Name of the stations. - ``force`` (optional, default = ``False``): a boolean value indicating whether existing files should be overwritten. +To download data from multiple data sources or campaigns, please provide a space-separated string of +the data sources or campaigns you require. For example, "EPFL NASA". + + How to upload raw data to Zenodo? --------------------------------- @@ -134,6 +138,10 @@ Parameters: whether files already uploaded somewhere else should still be included. +To upload data from multiple data sources or campaigns, please provide a space-separated string of +the data sources or campaigns you require. For example, "EPFL NASA". + + Currently, only Zenodo is supported. After running this command, the user will be prompted to insert a Zenodo @@ -142,6 +150,9 @@ must use to go to the Zenodo web interface and manually publish the data. To get a Zenodo token, go to -https://zenodo.org/account/settings/applications/tokens/new/ +`https://zenodo.org/account/settings/applications/tokens/new/ `_ + + + .. image:: /static/zenodo.png From 75ec53fc49d7b0ff8e5ee5b42d3ff653c7358de2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Thu, 4 May 2023 11:41:19 +0200 Subject: [PATCH 18/22] refactor(contributing) : split test and code quality part --- CONTRIBUTING.rst | 166 +++++++++++++++++++++++++++-------------------- 1 file changed, 96 insertions(+), 70 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 057cfba0..c209f6c4 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -236,134 +236,160 @@ You should configure VS code as follow : -Code quality control and testing +Code quality control ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Every code change must be tested ! - -To maintain a high code quality, we use `pre-commit `__ to run a series of checks on the code before each commit. The checks are defined in the .pre-commit-config.yaml file. The checks include: +To maintain a high code quality, Black and Ruff are defined in the .pre-commit-config.yaml file. These tools are run for every Pull Request on Github and can also be run locally. +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| | Aim | pre-commit | CI/CD | Python version | +| Tool | Aim | pre-commit | CI/CD | Version | +===============================================================================================+==================================================================+============+=======+===========================================+ -| `Pytest `__ | Execute unit tests and functional tests | - | πŸ‘ | | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `Black `__ | Python code formatter | πŸ‘ | πŸ‘ | No python version (Black version 22.8.0) | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `Ruff `__ | Python linter | πŸ‘ | πŸ‘ | (Ruff version 0.0.2570) | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `pre-commit.ci `__ | Run pre-commit | | πŸ‘ | | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| Coverage | Measure the code coverage of the project's unit tests | - | πŸ‘ | all versions according to GitHub workflow | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeCov `__ | Uses the "coverage" package to generate a code coverage report. | - | πŸ‘ | all versions according to GitHub workflow | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `Coveralls `__ | Uses the "coverage" to track the quality of your code over time. | - | πŸ‘ | all versions according to GitHub workflow | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeBeat `__ | Automated code review and analysis tools | - | πŸ‘ | all versions according to GitHub workflow | +| `Black `__ | Python code formatter | πŸ‘ | πŸ‘ | 22.8.0 | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeScene `__ | Automated code review and analysis tools | - | πŸ‘ | ? | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeFactor `__ | Automated code review and analysis tools | - | πŸ‘ | ? | +| `Ruff `__ | Python linter | πŸ‘ | πŸ‘ | 0.0.2570 | +-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -In the table above, some CI tool are mentioned for your information, but does not need to be installed on your computer. They are automatically run when you push your changes to the main repository via a GitHub Pull Request. -**Pytest** +**pre-commit** +To run pre-commit (black + Ruff) locally : -DISDRODB tests are written using the third-party `pytest `_ package. +.. code-block:: bash -DISDRODB full testing pipeline can be executed by running: + `pre-commit run --all-files``. -.. code-block:: bash - pytest disdrodb +This is recommended since it +indicates if the commit contained any formatting errors (that are automatically corrected). -The tests located in the `disdrodb/tests` folder are used to test various functions of the code and are automatically run when changes are pushed to the main repository through a GitHub Pull Request. + + +**Black** + +To run black locally : .. code-block:: bash - pytest disdrodb/tests + black . + + + +.. note:: + To maintain consistency, make sure to stick to the version defined in the `.pre-commit-config.yaml` file. This version will be used in the CI. + -Tests located in the `disdrodb/test_readers` folder are utilized to test readers. They are **not** run automatically when you push your changes to the main repository via a GitHub Pull Request. -Tests are in place to ensure that a particular reader functions properly. If a new reader is added, a corresponding test should also be added. +**Ruff** -To run the tests : +To run Ruff locally : .. code-block:: bash - pytest disdrodb/test_readers + ruff check . -To create a new test, simply add a small, single-station dataset and the associated files (issue, metadata), and expected data, in the following manner: -| πŸ“ disdrodb/test_readers/ -| β”œβ”€β”€ πŸ“ test_ressources_raw_data -| β”œβ”€β”€ πŸ“ L0 -| β”œβ”€β”€ πŸ“ readers -| β”œβ”€β”€ πŸ“ DISDRODB -| β”œβ”€β”€ πŸ“ Raw -| β”œβ”€β”€ πŸ“ `` : e.g. GPM, ARM, EPFL, ... -| β”œβ”€β”€ πŸ“ `` : e.g. PARSIVEL_2007 -| β”œβ”€β”€ πŸ“ data -| β”œβ”€β”€ πŸ“ ``.\* -| β”œβ”€β”€ πŸ“ issue -| β”œβ”€β”€ πŸ“ ``.yml -| β”œβ”€β”€ πŸ“ metadata -| β”œβ”€β”€ πŸ“ ``.yml -| β”œβ”€β”€ πŸ“ disdrodb/test_ressources_ground_truth -| β”œβ”€β”€ πŸ“ DISDRODB -| β”œβ”€β”€ πŸ“ Processed -| β”œβ”€β”€ πŸ“ `` : e.g. GPM, ARM, EPFL, ... -| β”œβ”€β”€ πŸ“ `` : e.g. PARSIVEL_2007 -| β”œβ”€β”€ πŸ“ L0B -| β”œβ”€β”€ πŸ“ `` -| β”œβ”€β”€ πŸ“œ \*.nc : NetCDF files containing the L0B products +.. note:: + To maintain consistency, make sure to stick to the version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is used in the CI. -This test will run all readers that data have been put in the above structure. The raw data `test_ressources_raw_data` will be processed and the resulting netCDF files will be compared to the ground truth `test_ressources_ground_truth`. -**Black** -Black should be used that way : +In the table below, some CI tool are mentioned for your information, but does not need to be installed on your computer. They are automatically run when you push your changes to the main repository via a GitHub Pull Request. -.. code-block:: bash - black . ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| Tool | Aim | pre-commit | CI/CD | Python version | ++===============================================================================================+==================================================================+============+=======+===========================================+ +| `pre-commit.ci `__ | Run pre-commit (as defined in `.pre-commit-config.yaml` ) | | πŸ‘ | | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeBeat `__ | Automated code review and analysis tools | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeScene `__ | Automated code review and analysis tools | - | πŸ‘ | ? | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeFactor `__ | Automated code review and analysis tools | - | πŸ‘ | ? | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -.. note:: - To maintain consistency, make sure to stick to the version defined in the `.pre-commit-config.yaml` file. This version will be used in the CI. +Code testing +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -**Ruff** +Every code change must be tested ! + + + + +**Pytest** + +DISDRODB tests are written using the third-party `pytest `_ package. + -Ruff should be used that way : + +The tests located in the `disdrodb/tests` folder are used to test various functions of the code and are automatically run when changes are pushed to the main repository through a GitHub Pull Request. .. code-block:: bash - ruff check . + pytest disdrodb/tests -.. note:: - To maintain consistency, make sure to stick to the version and the rule configuration defined in the `.pre-commit-config.yaml` file. This information is used in the CI. +To create a new reader test, simply add a small, single-station dataset and the associated files (issue, metadata), and expected data, in the following manner: + +| πŸ“ disdrodb +| β”œβ”€β”€ πŸ“ tests +| β”œβ”€β”€ πŸ“ pytest_files +| β”œβ”€β”€ πŸ“ check_readers +| β”œβ”€β”€ πŸ“ DISDRODB +| β”œβ”€β”€ πŸ“ Raw +| β”œβ”€β”€ πŸ“ `` : e.g. GPM, ARM, EPFL, ... +| β”œβ”€β”€ πŸ“ `` : e.g. PARSIVEL_2007 +| β”œβ”€β”€ πŸ“ data +| β”œβ”€β”€ πŸ“ ``.\* +| β”œβ”€β”€ πŸ“ issue +| β”œβ”€β”€ πŸ“ ``.yml +| β”œβ”€β”€ πŸ“ metadata +| β”œβ”€β”€ πŸ“ ``.yml +| β”œβ”€β”€ πŸ“ ground_truth +| β”œβ”€β”€ πŸ“ ``.\* + + + + +A single test will run all readers with data that has been placed in the above-mentioned structure. The raw data will be processed, and the resulting Apache Parquet files (l0a) will be compared to the ground truth. + +The reader test succeeds if both files (ground truth and transformation of the raw file) are similar. + + +The Continuous Integration (CI) on GitHub runs tests and analyzes code coverage. The following tools are used: + + ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| Tool | Aim | pre-commit | CI/CD | Version | ++===============================================================================================+==================================================================+============+=======+===========================================+ +| `Pytest `__ | Execute unit tests and functional tests | - | πŸ‘ | | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| Coverage | Measure the code coverage of the project's unit tests | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `CodeCov `__ | Uses the "coverage" package to generate a code coverage report. | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ +| `Coveralls `__ | Uses the "coverage" to track the quality of your code over time. | - | πŸ‘ | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ + From 91e98b04b2a6c3cd1341967966f324b3d7e566cd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Fri, 5 May 2023 10:12:43 +0200 Subject: [PATCH 19/22] fix() : typo + add new illustration --- CONTRIBUTING.rst | 5 +++-- docs/source/data.rst | 19 ++++++++++++------- docs/source/readers.rst | 12 ++++++------ docs/source/sensor_configs.rst | 2 +- docs/source/static/Diagrams.drawio | 2 +- docs/source/static/transfer.png | Bin 0 -> 49732 bytes 6 files changed, 23 insertions(+), 17 deletions(-) create mode 100644 docs/source/static/transfer.png diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index c209f6c4..794f4488 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -254,11 +254,12 @@ To maintain a high code quality, Black and Ruff are defined in the .pre-commit-c **pre-commit** + To run pre-commit (black + Ruff) locally : .. code-block:: bash - `pre-commit run --all-files``. + pre-commit run --all-files This is recommended since it @@ -269,7 +270,7 @@ indicates if the commit contained any formatting errors (that are automatically **Black** -To run black locally : +To run Black locally : .. code-block:: bash diff --git a/docs/source/data.rst b/docs/source/data.rst index 71185fe4..d16ecd04 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -25,8 +25,13 @@ Two types of data must be distinguished: ``metadata.yml``. It has a ``data_url`` key that references to the remote/online repository where station's raw data are stored. At this URL, a single zip file provides all data available for a given station. -How to download the DISDRODB metadata and issues archive ? --------------------------------------- + +Data transfer upload and download schema : + +.. image:: /static/transfer.png + +DISDRODB metadata and issues archive download +------------------------------------------------- You can clone the disdrodb-data repository with: @@ -38,8 +43,8 @@ However, if you plan to add new data or metadata to the archive, first fork the repository on your GitHub account and then clone the forked repository. -How to upload new station metadata? ------------------------------------- +DISDRODB metadata and issues archive upload +---------------------------------------------- Do you want to contribute to the project with your own data? Great! Just follow these steps: @@ -79,7 +84,7 @@ follow these steps: `issue `__ so we can help! -How to download raw data locally ? +DISDRODB raw data download -------------------------------------- Prerequisite: First clone the disdrodb-data repository as described @@ -113,8 +118,8 @@ To download data from multiple data sources or campaigns, please provide a space the data sources or campaigns you require. For example, "EPFL NASA". -How to upload raw data to Zenodo? ---------------------------------- +DISDRODB raw data upload to Zenodo +------------------------------------- We provide users with a code to upload their station’s raw data to Zenodo. diff --git a/docs/source/readers.rst b/docs/source/readers.rst index 89c8d274..40944131 100644 --- a/docs/source/readers.rst +++ b/docs/source/readers.rst @@ -110,7 +110,7 @@ A reader is a function defined by the following input arguments: * It processes just 3 raw data files. -* ``parallel`` : bool [true\| **false** ] - Whether to process multiple files simultanously. +* ``parallel`` : bool [true\| **false** ] - Whether to process multiple files simultaneously. * If parallel=False, the raw files are processed sequentially. * If parallel=True, each file is processed in a separate core. @@ -141,10 +141,10 @@ It's important to note that the internal L0A processing already takes care of: * removing rows with undefined timestep * removing rows with corrupted values * sanitize string column with trailing spaces -* dropping rows with duplicated timesteps (keeping only the first occurence) +* dropping rows with duplicated timesteps (keeping only the first occurrence) In the DISDRODB L0A format, the raw precipitation spectrum, named ``raw_drop_number`` , -it is expected to be defined as a string with a series of values seperated by a delimiter like ``,`` or ``;``. +it is expected to be defined as a string with a series of values separated by a delimiter like ``,`` or ``;``. Therefore, the ``raw_drop_number`` field value is expected to look like ``"000,001,002, ..., 001"`` For example, if the ``raw_drop_number`` looks like the following three cases, you need to preprocess it accordingly into the ``df_sanitizer_fun``: @@ -441,11 +441,11 @@ documentation. * The ``column_names`` list defines the column names of the readed raw text file. -* The ``df_sanitizer_fun()`` function that defines the processing to apply on the readed dataframe in order for the dataframe to match the DISDRODB standards. +* The ``df_sanitizer_fun()`` function that defines the processing to apply on the read dataframe in order for the dataframe to match the DISDRODB standards. -The dataframe which is returned by the ``df_sanitizer_fun`` must have only columns compliants with the DISDRODB standards ! +The dataframe which is returned by the ``df_sanitizer_fun`` must have only columns compliant with the DISDRODB standards ! -When this 4 components are correctly defined, they can be transcripted into the reader you defined in `Step 2 <#step-2-define-the-reader-name>`_. +When this 4 components are correctly defined, they can be transcribed into the reader you defined in `Step 2 <#step-2-define-the-reader-name>`_. Now you are ready to test the reader works properly and enable to process all stations data. diff --git a/docs/source/sensor_configs.rst b/docs/source/sensor_configs.rst index fe64508e..6c2fd8ed 100644 --- a/docs/source/sensor_configs.rst +++ b/docs/source/sensor_configs.rst @@ -112,7 +112,7 @@ The ``null`` value should be added for character variables or when the value can During the DISDRODB L0 processing: -* the ``data_range``, if specified, will be used to set unvalid values to NaN +* the ``data_range``, if specified, will be used to set invalid values to NaN * the ``nan_flags`` values, if specified, will be converted to NaN The ``n_digits``, ``n_characters``, ``n_decimals`` and ``n_naturals`` information diff --git a/docs/source/static/Diagrams.drawio b/docs/source/static/Diagrams.drawio index 122ac7b9..019b4c93 100644 --- a/docs/source/static/Diagrams.drawio +++ b/docs/source/static/Diagrams.drawio @@ -1 +1 @@ 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zy%f<9l$-+77w`CJDO+AsvL;sQmHv=3f)yNM#pIm4ksBK`Z5~vkiDCw{Km`aHD0K$3 z5jKGY2e5i-V>0Y* z5mus9C%!tPz(&dCLoF1}^#K@}zHIN;HlG(|ui7k}MPxn4(k z_4jU1{~0YT@{V{}W^DF;LY`7H{5vqo)*<=ae=g9cmw_ju`Evugnjot}pvw4XGJ;DJ zfICtmHqI$bfZYAA_8v$L{^JQ5hJk^Nh%G3U-H(61d{uP5u3W4ZcnM&-VtOk-^{{tUt;qS`CtEk8+)4%9;o_fTzNvxwH$o nsyX>L^RN70Jx9Kdd%}46o64T1SGCeP@S~!rsZb(s67YWjg2)v@ literal 0 HcmV?d00001 From 9e425c60b131d5a8d7a9070501aeb969703b1a2b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 8 May 2023 08:08:29 +0200 Subject: [PATCH 20/22] Apply suggestions from code review Co-authored-by: Gionata Ghiggi --- docs/source/data.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/source/data.rst b/docs/source/data.rst index d16ecd04..dea213c0 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -30,7 +30,7 @@ Data transfer upload and download schema : .. image:: /static/transfer.png -DISDRODB metadata and issues archive download +Download the DISDRODB metadata archive ------------------------------------------------- You can clone the disdrodb-data repository with: @@ -43,7 +43,7 @@ However, if you plan to add new data or metadata to the archive, first fork the repository on your GitHub account and then clone the forked repository. -DISDRODB metadata and issues archive upload +Update the DISDRODB metadata archive ---------------------------------------------- Do you want to contribute to the project with your own data? Great! Just @@ -84,7 +84,7 @@ follow these steps: `issue `__ so we can help! -DISDRODB raw data download +Download the DISDRODB raw data archive -------------------------------------- Prerequisite: First clone the disdrodb-data repository as described @@ -118,7 +118,7 @@ To download data from multiple data sources or campaigns, please provide a space the data sources or campaigns you require. For example, "EPFL NASA". -DISDRODB raw data upload to Zenodo +Add new stations raw data to the DISDRODB archive (using Zenodo) ------------------------------------- We provide users with a code to upload their station’s raw data to From 1e79565a3950afda1438a7791dc316d3334419ae Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 8 May 2023 08:20:15 +0200 Subject: [PATCH 21/22] refactor() : change text according to PR comments --- docs/source/data.rst | 1 - docs/source/static/Diagrams.drawio | 2 +- docs/source/static/transfer.png | Bin 49732 -> 54006 bytes 3 files changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/source/data.rst b/docs/source/data.rst index dea213c0..9761483b 100644 --- a/docs/source/data.rst +++ b/docs/source/data.rst @@ -19,7 +19,6 @@ Two types of data must be distinguished: - Station Metadata and Issues: - Stores a standard set of metadata and measurement issues of each disdrometer - - This dataset should be light. - Central storage is provided in the ``disdro-data`` Git repository. - The metadata folder contains a YAML metadata file called ``metadata.yml``. It has a ``data_url`` key that references to the remote/online repository where diff --git a/docs/source/static/Diagrams.drawio b/docs/source/static/Diagrams.drawio index 019b4c93..bc98e603 100644 --- a/docs/source/static/Diagrams.drawio +++ b/docs/source/static/Diagrams.drawio @@ -1 +1 @@ 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zh;E6}6~c|hRdvD%RsBr_hb<Cj!c=@Rh1{)hPTRSq9Ngmz0|)Ft_+)V3Dl+QiWti z?ceb@EI{toPo;6b!}fMdfo7o0^G@~GkVon}yw93b7G8@svuf7NUWpghNlaPTqT<4T zfAZ_77T6aa(o){LD<4(-KrXO77B=EjHCz!*DgN4(YyM5F)67xy62sLo{>?HgOM*6Z zc8TD~?@yuoVJeqo&M*WW&9oA@yd3s9P+`6ZYV6A|etggPWX!wB`Nzg$fioh2y!cg% zy%f<9l$-+77w`CJDO+AsvL;sQmHv=3f)yNM#pIm4ksBK`Z5~vkiDCw{Km`aHD0K$3 z5jKGY2e5i-V>0Y* z5mus9C%!tPz(&dCLoF1}^#K@}zHIN;HlG(|ui7k}MPxn4(k z_4jU1{~0YT@{V{}W^DF;LY`7H{5vqo)*<=ae=g9cmw_ju`Evugnjot}pvw4XGJ;DJ zfICtmHqI$bfZYAA_8v$L{^JQ5hJk^Nh%G3U-H(61d{uP5u3W4ZcnM&-VtOk-^{{tUt;qS`CtEk8+)4%9;o_fTzNvxwH$o nsyX>L^RN70Jx9Kdd%}46o64T1SGCeP@S~!rsZb(s67YWjg2)v@ From f4034b418140c1c46a4d3545e47c43144c5a8ea1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9gis=20Longchamp?= <97044425+regislon@users.noreply.github.com> Date: Mon, 8 May 2023 14:52:08 +0200 Subject: [PATCH 22/22] refactor() : small changes --- CONTRIBUTING.rst | 46 ++++--- docs/source/maintainers_guidelines.rst | 2 +- docs/source/metadata_csv/Deployment_Info.csv | 16 +-- docs/source/metadata_csv/Description.csv | 2 +- docs/source/metadata_csv/Sensor_Info.csv | 2 +- docs/source/metadata_csv/Source_Info.csv | 2 +- docs/source/overview.rst | 119 ------------------- docs/source/readers.rst | 73 ++++-------- docs/source/sensor_configs.rst | 22 ++-- 9 files changed, 70 insertions(+), 214 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 794f4488..36293d7a 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -307,17 +307,17 @@ To run Ruff locally : In the table below, some CI tool are mentioned for your information, but does not need to be installed on your computer. They are automatically run when you push your changes to the main repository via a GitHub Pull Request. -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| Tool | Aim | pre-commit | CI/CD | Python version | -+===============================================================================================+==================================================================+============+=======+===========================================+ -| `pre-commit.ci `__ | Run pre-commit (as defined in `.pre-commit-config.yaml` ) | | πŸ‘ | | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeBeat `__ | Automated code review and analysis tools | - | πŸ‘ | all versions according to GitHub workflow | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeScene `__ | Automated code review and analysis tools | - | πŸ‘ | ? | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeFactor `__ | Automated code review and analysis tools | - | πŸ‘ | ? | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| Tool | Aim | Python version | ++===============================================================================================+==================================================================+===========================================+ +| `pre-commit.ci `__ | Run pre-commit (as defined in `.pre-commit-config.yaml` ) | | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| `CodeBeat `__ | Automated code review and analysis tools | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| `CodeScene `__ | Automated code review and analysis tools | ? | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| `CodeFactor `__ | Automated code review and analysis tools | ? | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ @@ -379,17 +379,17 @@ The reader test succeeds if both files (ground truth and transformation of the r The Continuous Integration (CI) on GitHub runs tests and analyzes code coverage. The following tools are used: -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| Tool | Aim | pre-commit | CI/CD | Version | -+===============================================================================================+==================================================================+============+=======+===========================================+ -| `Pytest `__ | Execute unit tests and functional tests | - | πŸ‘ | | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| Coverage | Measure the code coverage of the project's unit tests | - | πŸ‘ | all versions according to GitHub workflow | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `CodeCov `__ | Uses the "coverage" package to generate a code coverage report. | - | πŸ‘ | all versions according to GitHub workflow | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ -| `Coveralls `__ | Uses the "coverage" to track the quality of your code over time. | - | πŸ‘ | all versions according to GitHub workflow | -+-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+------------+-------+-------------------------------------------+ ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| Tool | Aim | Version | ++===============================================================================================+==================================================================+===========================================+ +| `Pytest `__ | Execute unit tests and functional tests | | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| Coverage | Measure the code coverage of the project's unit tests | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| `CodeCov `__ | Uses the "coverage" package to generate a code coverage report. | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ +| `Coveralls `__ | Uses the "coverage" to track the quality of your code over time. | all versions according to GitHub workflow | ++-----------------------------------------------------------------------------------------------+------------------------------------------------------------------+-------------------------------------------+ @@ -426,8 +426,6 @@ a Pull Request (PR) to the DISDRODB main branch. - Add screenshots or GIFs for any UI changes. This will help the person reviewing your code to understand what you’ve changed and how it works. - - *Hint: use * \ `Kap `__\ * or * \ `Licecap `__\ * to record your screen.* - - Please use the pertinent template for the pull request, and fill it out accurately. - It’s OK to have multiple small commits as you work on the PR - GitHub diff --git a/docs/source/maintainers_guidelines.rst b/docs/source/maintainers_guidelines.rst index cfd015f8..f9a1e48a 100644 --- a/docs/source/maintainers_guidelines.rst +++ b/docs/source/maintainers_guidelines.rst @@ -138,7 +138,7 @@ Currently, on each Pull Request, GitHub Actions are configured as follow: +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ -| | Aim | Status | Python version | +| Tools | Aim | Project page | Python version | +====================================================================================================+==================================================================+==============================================================================================+===========================================+ | `Pytest `__ | Execute unit tests and functional tests | | | +----------------------------------------------------------------------------------------------------+------------------------------------------------------------------+----------------------------------------------------------------------------------------------+-------------------------------------------+ diff --git a/docs/source/metadata_csv/Deployment_Info.csv b/docs/source/metadata_csv/Deployment_Info.csv index 25a8ddbe..9bac0a46 100644 --- a/docs/source/metadata_csv/Deployment_Info.csv +++ b/docs/source/metadata_csv/Deployment_Info.csv @@ -1,9 +1,9 @@ Keys, Description -latitude, WGS84 latitude in degree north [-90,90]. If the disdrometer is moving, specify -9999 -longitude, WGS84 longitude in degree east [-180,180]. If the disdrometer is moving, specify -9999 -altitude, Elevation above the sea level in meters. If the disdrometer is moving, specify -9999 -deployment_status, Deployment status. Possible values: 'terminated' or 'ongoing' -deployment_mode, Deployment mode. Possible values: 'land', 'ship', 'truck', 'cable' -platform_type, Platform type. Possible values: ' fixed' or 'mobile' -platform_protection, Platform protection. Possible values: 'N/A', 'shielded', 'unshielded’ -platform_orientation, Platform orientation in 0-360 degrees from the North direction (clockwise) +latitude, "WGS84 latitude in degree north [-90,90]. If the disdrometer is moving, specify -9999" +longitude, "WGS84 longitude in degree east [-180,180]. If the disdrometer is moving, specify -9999" +altitude, "Elevation above the sea level in meters. If the disdrometer is moving, specify -9999" +deployment_status, "Deployment status. Possible values: 'terminated' or 'ongoing'" +deployment_mode, "Deployment mode. Possible values: 'land', 'ship', 'truck', 'cable'" +platform_type, "Platform type. Possible values: ' fixed' or 'mobile'" +platform_protection, "Platform protection. Possible values: 'N/A', 'shielded', 'unshielded’" +platform_orientation, "Platform orientation in 0-360 degrees from the North direction (clockwise)" diff --git a/docs/source/metadata_csv/Description.csv b/docs/source/metadata_csv/Description.csv index af843d5d..3b4de152 100644 --- a/docs/source/metadata_csv/Description.csv +++ b/docs/source/metadata_csv/Description.csv @@ -7,6 +7,6 @@ summary, Summary information of the station comment, Comment on the station measurements history, History of the raw data file station_id,ID of the station -location, Village, town or region where the disdrometer is located +location, "Village, town or region where the disdrometer is located" country, Country where the disdrometer is located continent,Continent where the disdrometer is located diff --git a/docs/source/metadata_csv/Sensor_Info.csv b/docs/source/metadata_csv/Sensor_Info.csv index f4e7f176..2b9fed02 100644 --- a/docs/source/metadata_csv/Sensor_Info.csv +++ b/docs/source/metadata_csv/Sensor_Info.csv @@ -1,6 +1,6 @@ Keys, Description sensor_long_name, Sensor long name -sensor_manufacturer, Sensor manufacturer. Examples: Thies Clima, OTT Hydromet, Vaisala, Campbell, … +sensor_manufacturer, "Sensor manufacturer. Examples: Thies Clima, OTT Hydromet, Vaisala, Campbell, …" sensor_wavelength, Sensor wavelength sensor_serial_number, Sensor serial number firmware_iop, TO BE DEFINED [Available for OTT Parsivels] diff --git a/docs/source/metadata_csv/Source_Info.csv b/docs/source/metadata_csv/Source_Info.csv index 651937f5..0c0691db 100644 --- a/docs/source/metadata_csv/Source_Info.csv +++ b/docs/source/metadata_csv/Source_Info.csv @@ -1,4 +1,4 @@ Keys, Description source, Source information -source_convention, Raw data file convention (i.e. ARM v1.XXX, NASA v1.XX, …) +source_convention, "Raw data file convention (i.e. ARM v1.XXX, NASA v1.XX, …)" source_processing_date, Date of source raw data file creation diff --git a/docs/source/overview.rst b/docs/source/overview.rst index 14f4e0fd..6258bb5d 100644 --- a/docs/source/overview.rst +++ b/docs/source/overview.rst @@ -74,122 +74,3 @@ The current software structure is described below: | πŸ“œ README.md | πŸ“œ readthedocs.yml | πŸ“œ requirements.txt - - - - -Description of the disdrodb files and folders -================================================ - -The disdrodb folder contains the core software to process raw data files to DISDRODB L0 products. Here is a description of the files and folders: - -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| Type | Folder / files name | Description | -+=======+====================================+==============================================================================================================+ -| πŸ“ | api | Contains some generic functions | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | checks.py | Basic checks on paths | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | info.py | DISDRODB File Information and parser | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | io.py | Input output fuctions | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | metadata.py | Operation on metadata stations files | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | data_transfer | Contains scripts to upload or download stations's data | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | download_data.py | Functions to download stations' raw data | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | upload_data.py | Functions to upload to Zenodo stations' raw data | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | l0 | Contains the software to produce the DISDRODB L0 products | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | check_configs.py | Contain functionsChecking the sensorConfigs YAML files | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | check_metadata.py | Contain functionsChecking the metadata YAML files | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | check_standards.py | Contain functionsChecking that DISDRODB standards are met | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | io.py | Core functions to read/write files andCreate/remove directories | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | issue.py | Code to manage the issues YAML files and exclude erroneous time steps during L0 processing | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | l0_processing.py | Contain the functions to process raw data files to L0A and L0B | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | l0_reader.py | Contain the functions to check and retrieve the DISDRODB readers | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | l0a_processing.py | Contain the functions to process raw data files to L0A format (Parquet) | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | l0b_concat.py | Contain the functions to concatenate multiple L0B files into a single L0B netCDF | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | l0b_processing.py | Contain the functions to process raw data files to L0B format (netCDF4) | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | l0b_processing.py | Contain the functions to run the DISDRODB L0 processing | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | metadata.py | Code to read/write the metadata YAML files | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | standards.py | Contain the functions to encode the L0 sensor specifications defined in L0.configs | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | summary.py | Contain the functions to define a summary for each station | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | template_tools.py | Helpers to Create DISDRODB readers | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | configs | Contains the specifications of various types of disdrometers | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | | Name of the sensor (e.g. OTT_Parsivel, OTT_Parsivel2, Thies_LPM, RD_80) | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | *.yml | YAML files defining sensorCharacteristics (e.g. diameter and velocity bins) | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | manuals | Folder for the Official disdrometers documentation | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | *.pdf | Official disdrometers documentation | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | readers | Folder that contains all the readers functions | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | | e.g. GPM, ARM, EPFL, ... | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | .py | Readers to transform raw data into DISDRODB L0 products | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | scripts | Contains a set of python scripts to beCalled from the terminal to launch the L0 processing | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0_station.py | Script launching the L0 processing for a specific station | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0 | Script launching the L0 processing for specific portion of the DISDRODB archive | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0a.py | Script to run the L0A processing of DISDRODB stations | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0a_station.py | Script to run the L0A processing of a specific DISDRODB station from the terminal | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0b.py | Script to run the L0B processing of DISDRODB stations | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0b_station.py | Script to run the L0B processing of a specific DISDRODB station from the terminal | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0b_concat.py | Script to run the L0BConcatenation of available DISDRODB stations | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | run_disdrodb_l0b_concat_station.py | Script toConcatenate all L0B files of a specific DISDRODB station into a single netCDF | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | l1 | Code not yet implemented. It willContain software to homogenize and qualityCheck DISDRODB L0 products | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | l2 | Code not yet implemented. It willContain software to produce DISDRODB L2 products (i.e. DSD parameters, ...) | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | tests | Folder containing the tests (readers and unit tests) | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“ | utils | Folder to gather small, reusable functions orClasses | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | logger.py | Logger functions | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | scripts.py | Utility functions to run python scripts into the terminal | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ -| πŸ“œ | netcdf.py | Utility function toCheck and merge/concat multiple netCDF4 files | -+-------+------------------------------------+--------------------------------------------------------------------------------------------------------------+ - - - -Description of the other folders -================================================ - -Some other folder are included in the DISDRODB repository. Here is a short description of their content: - -* data : sample data to test the DISDRODB L0 l0_processing -* docs : documentation of the DISDRODB L0 processing -* tutorials : Jupyter notebooks to illustrate the DISDRODB L0 processing diff --git a/docs/source/readers.rst b/docs/source/readers.rst index 40944131..54a9d5b2 100644 --- a/docs/source/readers.rst +++ b/docs/source/readers.rst @@ -379,7 +379,7 @@ There are 7 metadata keys for which is mandatory to specify the value : * the ``station_name`` must be the same as the name of the metadata YAML file without the .yml extension * the ``sensor_name`` must be one of the implemented sensor configurations. See ``disdrodb.available_sensor_name()``. If the sensor which produced your data is not within the available sensors, you first need to add the sensor - configurations. For this task, read the section `Add new sensor configs` TODO ADD LINK. + configurations. For this task, read the section `Add new sensor configs `_ * the ``raw_data_format`` must be either 'txt' or 'netcdf'. 'txt' if the source data are text/ASCII files. 'netcdf' if source data are netCDFs. * the ``platform_type`` must be either 'fixed' or 'mobile'. If 'mobile', the DISDRODB L0 processing accepts latitude/longitude/altitude coordinates to vary with time. * the ``reader`` name is essential to enable to select the correct reader when processing the station. @@ -422,7 +422,7 @@ Step 4 : Analyse the data and define the reader components ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Once the DISDRODB directory structure, reader and metadata are set up, you can start analyzing the content of your data. -To facilitate the task, we provide you with the `reader_preparation.ipynb Jupyter Notebook `. +To facilitate the task, we provide you with the `reader_preparation.ipynb Jupyter Notebook `_. We highly suggest to copy the notebook and adapt it to your own data. However, before starting adapting the Jupyter Notebook to your own data, @@ -486,7 +486,7 @@ For example, to process all stations of the EPFL_2008 campaign, you would run: .. note:: - * For more details and options related to DISDRODB L0 processing, read the section `Run DISDRODB L0 Processing` TODO ADD SECTION LINK + * For more details and options related to DISDRODB L0 processing, read the section `Run DISDRODB L0 Processing `_. The DISDRODB L0 processing generates the DISDRODB `Processed` directories tree illustrated here below. @@ -541,13 +541,6 @@ that the reader you implemented will provide the expected results also when someone else will add changes to the disdrodb codebase in the future. -All readers are tested as follow : - - -.. image:: /static/reader_testing.png - - - .. note:: The objective is to run every reader sequentially. Therefore, make sure to provide a very small test sample in order to limit the computing time. @@ -556,34 +549,28 @@ All readers are tested as follow : A typical test file is composed of 2 stations, with two files and a couple of timesteps with measurements. -The `GitHub readers testing resources `_ must have the following structure: - - -| πŸ“ disdrodb-testing -| β”œβ”€β”€ πŸ“ disdrodb -| β”œβ”€β”€ πŸ“ L0 -| β”œβ”€β”€ πŸ“ readers -| β”œβ”€β”€ πŸ“ -| β”œβ”€β”€ πŸ“ -| β”œβ”€β”€ πŸ“œ raw.zip -| β”œβ”€β”€ πŸ“ data -| β”œβ”€β”€ πŸ“ -| β”œβ”€β”€ πŸ“œ \*.\* : raw files -| β”œβ”€β”€ πŸ“ issue -| β”œβ”€β”€ πŸ“œ .yml -| β”œβ”€β”€ πŸ“ metadata -| β”œβ”€β”€ πŸ“œ .yml -| β”œβ”€β”€ πŸ“œ processed.zip -| β”œβ”€β”€ πŸ“ info -| β”œβ”€β”€ πŸ“œ .yml -| β”œβ”€β”€ πŸ“ L0A -| β”œβ”€β”€ πŸ“ `station_name> -| β”œβ”€β”€ πŸ“œ \*.\parquet -| β”œβ”€β”€ πŸ“ L0B -| β”œβ”€β”€ πŸ“ -| β”œβ”€β”€ πŸ“œ \*.\nc -| β”œβ”€β”€ πŸ“ metadata -| β”œβ”€β”€ πŸ“œ .yml +You should place you data and config files under the following directory tree: + +| πŸ“ disdrodb/tests/pytest_files/check_readers/DISDRODB +| β”œβ”€β”€ πŸ“ Raw +| β”œβ”€β”€ πŸ“ +| β”œβ”€β”€ πŸ“ +| β”œβ”€β”€ πŸ“ issue +| β”œβ”€β”€ πŸ“œ .yml +| β”œβ”€β”€ πŸ“ metadata +| β”œβ”€β”€ πŸ“œ .yml +| β”œβ”€β”€ πŸ“ data +| β”œβ”€β”€ πŸ“ +| β”œβ”€β”€ πŸ“œ .\* +| β”œβ”€β”€ πŸ“ ground_truth +| β”œβ”€β”€ πŸ“ +| β”œβ”€β”€ πŸ“œ .\* + + + +The `data` folder must contain your raw data files, while the `ground_truth` folder must contain the corresponding ground truth files. + +Once the reader is run with the raw data, the output files is compared to the ground truth files. If the files are identical, the reader is considered valid. @@ -607,18 +594,8 @@ The `GitHub readers testing resources `_ - - - .. code-block:: bash - git clone https://github.com/EPFL-ENAC/LTE-disdrodb-testing.git -2. Add your file according structure described above -3. Commit and push your changes -4. Test your test with pytest (have a look `here `__) diff --git a/docs/source/sensor_configs.rst b/docs/source/sensor_configs.rst index 6c2fd8ed..17f2c623 100644 --- a/docs/source/sensor_configs.rst +++ b/docs/source/sensor_configs.rst @@ -28,9 +28,9 @@ For each sensor, the following list of configuration YAML files are required: | β”œβ”€β”€ πŸ“œ \*.yml : YAML files defining sensor characteristics (e.g. diameter and velocity bins) | β”œβ”€β”€ πŸ“œ bins_diameter.yml : Information related to sensor diameter bins | β”œβ”€β”€ πŸ“œ bins_velocity.yml : Information related to sensor velocity bins -| β”œβ”€β”€ πŸ“œ L0A_encodings.yml : Variables encodings for the L0A product -| β”œβ”€β”€ πŸ“œ L0B_encodings.yml : Variables encodings for the L0B product -| β”œβ”€β”€ πŸ“œ L0_data_format.yml : Information related to the variables logged by the sensor +| β”œβ”€β”€ πŸ“œ l0a_encodings.yml : Variables encodings for the l0a product +| β”œβ”€β”€ πŸ“œ l0b_encodings.yml : Variables encodings for the l0b product +| β”œβ”€β”€ πŸ“œ raw_data_format.yml : Information related to the variables logged by the sensor | β”œβ”€β”€ πŸ“œ variables.yml : Variables logged by the sensor | β”œβ”€β”€ πŸ“œ variable_description.yml : Variables description | β”œβ”€β”€ πŸ“œ variable_long_name.yml: Variables long_name @@ -69,25 +69,25 @@ If the sensor (i.e. impact disdrometers) does not measure the drop fall velocity the YAML files must be defined empty ! -L0A_encodings.yml file +l0a_encodings.yml file ~~~~~~~~~~~~~~~~~~~~~~~ This file list the variables that are allow to be saved into the -DISDRODB L0A Apache Parquet format. +DISDRODB l0a Apache Parquet format. The file also specified the type (i.e. integer/floating precision/string) each variable is saved in the Apache Parquet binary format. In addition to the specified variables, also the following variables are allowed -to be saved into the DISDRODB L0A files: +to be saved into the DISDRODB l0a files: * the ``time`` column (in UTC format) * the ``latitude`` and ``longitude`` columns if the disdrometer station is mobile. -L0B_encodings.yml file +l0b_encodings.yml file ~~~~~~~~~~~~~~~~~~~~~~~ This file list the variables that are allow to be saved into the -DISDRODB L0B netCDF format. +DISDRODB l0b netCDF format. For each variable, you need to specify the compression options, the data type, the _FillValue to store i.e. NaN values (if integer data type), the chunk size @@ -153,19 +153,19 @@ variable_description.yml file ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This file contains a description for each variable. -The ``description`` will be attached as a variable attribute to the DISDRODB L0B netCDF +The ``description`` will be attached as a variable attribute to the DISDRODB l0b netCDF variable_units.yml file ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This file specify the measurement unit for each variable. -The ``units`` will be attached as a variable attribute to the DISDRODB L0B netCDF +The ``units`` will be attached as a variable attribute to the DISDRODB l0b netCDF variable_long_name.yml file ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This file specify the long_name for each variable. -The ``long_name`` will be attached as a variable attribute to the DISDRODB L0B netCDF. +The ``long_name`` will be attached as a variable attribute to the DISDRODB l0b netCDF. See the `CF Conventions guidelines for long_name `_ for more information.