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README.md
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README.md
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# autoBIGS.CLI
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# autoBIGS.cli
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A command-line interface based program that allows quickly batched requests for obtaining MLST profiles on multiple FASTA sequences and exporting it as a convenient CSV.
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A command-line interface (CLI) based program that allows quickly batched requests for obtaining MLST profiles on multiple FASTA sequences and exporting it as a convenient CSV. Capable of querying a variety of MLST databases from both Institut Pasteur and PubMLST.
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This program is simply a command-line interface for [autoBIGS.Engine](https://pypi.org/project/autoBIGS.engine).
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This program is simply a command-line interface for [autoBIGS.engine](https://pypi.org/project/autoBIGS.engine).
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## Features
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## Features
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This CLI is capable of exactly what [autoBIGS.Engine](https://pypi.org/project/autoBIGS.engine) is capable of:
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This CLI is capable of exactly what [autoBIGS.engine](https://pypi.org/project/autoBIGS.engine) is capable of:
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- Import multiple FASTA files
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- Import multiple whole genome FASTA files
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- Fetch the available BIGSdb databases that is currently live and available
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- Fetch the available BIGSdb databases that is currently live and available
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- Fetch the available BIGSdb database schemas for a given MLST database
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- Fetch the available BIGSdb database schemas for a given MLST database
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- Retrieve exact/non-exact MLST allele variant IDs based off a sequence
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- Retrieve exact/non-exact MLST allele variant IDs based off a sequence
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- Retrieve MLST sequence type IDs based off a sequence
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- Retrieve MLST sequence type IDs based off a sequence
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- Output all results to a single CSV
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- Output all results to a single CSV
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## Planned Features for CLI
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- Specifications of multi-threading capacity
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- Session authentication for updated database schemas (as required by both PubMLST and Institut Pasteur)
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Please refer to [autoBIGS.engine](https://pypi.org/project/autoBIGS.engine) for more planned features.
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## Usage
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## Usage
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This CLI can be installed with `pip`. Please ensure [pip is installed](https://pip.pypa.io/en/stable/installation/). Then:
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This CLI can be installed with `pip`. Please ensure [pip is installed](https://pip.pypa.io/en/stable/installation/). Then:
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dependencies = [
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dependencies = [
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"autoBIGS-engine"
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"autoBIGS-engine"
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]
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]
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requires-python = ">=3.11"
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requires-python = ">=3.12"
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description = "A CLI tool to rapidly fetch fetch MLST profiles given sequences for various diseases."
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description = "A CLI tool to rapidly fetch fetch MLST profiles given sequences for various diseases."
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[project.urls]
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Repository = "https://github.com/RealYHD/autoBIGS.cli"
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Issues = "https://github.com/RealYHD/autoBIGS.cli/issues"
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[project.scripts]
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[project.scripts]
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autoBIGS = "autoBIGS.cli.program:run"
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autoBIGS = "autobigs.cli.program:run"
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[tool.setuptools_scm]
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[tool.setuptools_scm]
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@@ -4,4 +4,4 @@ pytest-cov
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build
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build
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twine
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twine
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setuptools_scm
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setuptools_scm
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autobigsst.engine
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autoBIGS.engine
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from argparse import ArgumentParser, Namespace
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from argparse import ArgumentParser, Namespace
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import asyncio
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import asyncio
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from autoBIGS.engine.data.remote.databases.bigsdb import BIGSdbIndex
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from autobigs.engine.data.remote.databases.bigsdb import BIGSdbIndex
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def setup_parser(parser: ArgumentParser):
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def setup_parser(parser: ArgumentParser):
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parser.description = "Fetches the latest BIGSdb MLST database definitions."
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parser.description = "Fetches the latest BIGSdb MLST database definitions."
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@@ -3,8 +3,8 @@ from importlib import metadata
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from os import path
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from os import path
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import os
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import os
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from autoBIGS.cli import info, st
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from autobigs.cli import info, st
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from autoBIGS.cli.meta import get_module_base_name
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from autobigs.cli.meta import get_module_base_name
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import importlib
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import importlib
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root_parser = argparse.ArgumentParser(epilog='Use "%(prog)s info -h" to learn how to get available MLST databases, and their available schemas.'
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root_parser = argparse.ArgumentParser(epilog='Use "%(prog)s info -h" to learn how to get available MLST databases, and their available schemas.'
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from argparse import ArgumentParser, Namespace
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from argparse import ArgumentParser, Namespace
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import asyncio
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import asyncio
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import datetime
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import datetime
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from autoBIGS.engine.data.local.csv import write_mlst_profiles_as_csv
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from autobigs.engine.data.local.csv import write_mlst_profiles_as_csv
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from autoBIGS.engine.data.local.fasta import read_multiple_fastas
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from autobigs.engine.data.local.fasta import read_multiple_fastas
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from autoBIGS.engine.data.remote.databases.bigsdb import BIGSdbIndex
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from autobigs.engine.data.remote.databases.bigsdb import BIGSdbIndex
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def setup_parser(parser: ArgumentParser):
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def setup_parser(parser: ArgumentParser):
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