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v1.0.0
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[1.0.0]
Added
Instructions on how to install and run the app on a Conda environment
Test for heartbeat endpoint
Automated tests GitHub workflow
Instructions on how to run a demo connected to a database in README
Add Codecov steps to Tests GitHub action
Vulture GitHub action to remove unused code
Colored logs for development and debugging
Common test fixtures
Some badges on README page
Tests for cases and samples endpoints
Save samples with coverage files stored on a remote HTTP(s) server
Demo data (D4 file containing coverage data for a panel of 4 genes)
Endpoint for coverage queries over a single interval of a provided D4 file
Demo case and demo sample loaded with demo instance startup
Endpoint for coverage queries over the intervals of a BED file
Include a default .env file loaded on app startup
Filter genes, transcripts and exons by Ensemble id, HGNC id, HGNC symbol
Demo genes, transcripts and exons loaded on demo instance startup
Return coverage over a list of genes for a sample in the database
Remove a sample from the database by providing its name
Return coverage and coverage completeness (custom thresholds) over a list of genes for a case or a list of samples
Return transcripts coverage and coverage completeness (custom thresholds) over a list of genes for a case or a list of
samples
Return exons coverage and coverage completeness (custom thresholds) over a list of genes for a case or a list of
samples
Remove a sample and all associated samples from the database by providing its name
Created the basic structure of the howto using mkdocs
Created a GitHub action for publishing the documentation on the GitHub pages
Documentation on how to load cases and samples into the database
Documentation on how to query the server for coverage stats
Documentation on how to load genes, transcripts and exons into the database
Improve documentation on how to customise the .env file to use a production database
Fixed
Bugs preventing the gunicorn app to launch
Code to compose DB url to work when app is invoked from docker-compose
Dockerfile building error due to missing d4tools lib
Add VARCHAR length to sample.coverage_file_path SQL field
Format of Build field in genes, transcripts and exons tables
Increased size of allowed HGNC symbols in the MySQL gene model
Remove old exons and transcripts data when updating genes
Test warnings regarding Case-Sample database relationship
Error when removing a case that is not found in the database
Updated and faster GitHub actions
Format of mean coverage and coverage completeness returned in responses
Changed
Renamed root endpoint to heartbeat
Use a multi-stage build in Dockerfile to reduce its size
SQLite database launched instead of MySQL as the default demo database
Simpler docker-compose file and additional docker-compose file to show MySQL connection howto
Removed broken BumpVersion GitHub action
Use a temporary file when running the demo app
Modified the command to run a demo instance in README file
Renamed table Individuals table to the more general Samples
Renamed table Regions table to Intervals
Use uvicorn logging and avoid printing logs twice
Modified samples and cases endpoints to interact with database via CRUD utils
Use SQLAlchemy 1.4 Declarative which is now integrated into the ORM to avoid deprecation warning
Start SQL engine and sessions using the future tag to prepare migration to SQLAlchemy 2.0
Updated a few python dependencies
Moved validation of sample's coverage file path to sample's pydantic model
Installing the pyd4 module as a requirement of this repository
Moved the endpoints constants to a class in test fixtures
More explicit names for two endpoints
Load genes, transcripts and exons in batches of 10K records
Simpler code to load genes and transcripts into the database
Updated version of several GitHub actions
Validate sample coverage queries so that only one gene list format can be provided
Speed up queries by optimizing Genes, Transcripts and Exons tables and indexes
Custom algorithm to speed up coverage completeness thresholds calculation
Replaced deprecated pkg_resources lib with importlib_resources lib
Modified Python version in Dockerfile from 3.8 to 3.11
Introduced a "track_name" key in sample database objects to be used in multitrack D4 files analysis
One sample can belong to more than one case
Practical howto in README file and moved deployment instructions to the docs
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