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Merge pull request #37 from gogepp/dev
Release 0.4.5
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import { hectarCollection } from '/imports/api/genes/hectar/hectarCollection.js'; | ||
import jobQueue, { Job } from '/imports/api/jobqueue/jobqueue.js'; | ||
import { ValidatedMethod } from 'meteor/mdg:validated-method'; | ||
import { Genes } from '/imports/api/genes/geneCollection.js'; | ||
import logger from '/imports/api/util/logger.js'; | ||
import { Roles } from 'meteor/alanning:roles'; | ||
import SimpleSchema from 'simpl-schema'; | ||
import { Meteor } from 'meteor/meteor'; | ||
|
||
class HectarProcessor { | ||
constructor() { | ||
// Not a bulk mongo suite. | ||
this.genesDb = Genes.rawCollection(); | ||
this.nHectar = 0; | ||
} | ||
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/** | ||
* Function that returns the total number of insertions or updates in the | ||
* hectar collection. | ||
* @function | ||
* @return {Number} Return the total number of insertions or updates of | ||
* hectar. | ||
*/ | ||
getNumberHectar() { | ||
return this.nHectar; | ||
} | ||
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parse = (line) => { | ||
if (!(line.slice(0,10) === 'protein id' || line.split('\t').length <= 1)) { | ||
// Get all hectar informations line by line and separated by tabs. | ||
const [ | ||
proteinId, | ||
predictedTargetingCategory, | ||
signalPeptideScore, | ||
signalPeptideCleavageSite, | ||
typeIISignalAnchorScore, | ||
chloroplastScore, | ||
mitochondrionScore, | ||
otherScore, | ||
] = line.split('\t'); | ||
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// Organize data in a dictionary. | ||
const annotations = { | ||
protein_id: proteinId, | ||
predicted_targeting_category: predictedTargetingCategory, | ||
signal_peptide_score: signalPeptideScore, | ||
signal_peptide_cleavage_site: signalPeptideCleavageSite, | ||
typeII_signal_anchor_score: typeIISignalAnchorScore, | ||
chloroplast_score: chloroplastScore, | ||
mitochondrion_score: mitochondrionScore, | ||
other_score: otherScore, | ||
}; | ||
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// Filters undefined data (with a dash) and splits into an array for | ||
// comma-separated data. | ||
for (const [key, value] of Object.entries(annotations)) { | ||
if (value[0] === '-') { | ||
annotations[key] = undefined; | ||
} | ||
if (value.indexOf(',') > -1) { | ||
annotations[key] = value.split(','); | ||
} | ||
} | ||
// If subfeatures is found in genes database (e.g: ID = | ||
// MMUCEDO_000002-T1). | ||
const subfeatureIsFound = Genes.findOne({ | ||
$or: [ | ||
{ 'subfeatures.ID': proteinId }, | ||
{ 'subfeatures.protein_id': proteinId }, | ||
], | ||
}); | ||
|
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if (typeof subfeatureIsFound !== 'undefined') { | ||
console.log("if loop" + typeof subfeatureIsFound); | ||
// Increment hectar. | ||
this.nHectar += 1; | ||
|
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// Update or insert if no matching documents were found. | ||
const documentHectar = hectarCollection.upsert( | ||
{ protein_id: proteinId }, // selector. | ||
annotations, // modifier. | ||
); | ||
|
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// Update hectarId in genes database. | ||
if (typeof documentHectar.insertedId !== 'undefined') { | ||
// Hectar _id is created. | ||
return this.genesDb.update({ | ||
$or: [ | ||
{ 'subfeatures.ID': proteinId }, | ||
{ 'subfeatures.protein_id': proteinId }, | ||
]}, | ||
{ $set: { hectarId: documentHectar.insertedId } }, | ||
); | ||
} else { | ||
// Hectar already exists. | ||
const hectarIdentifiant = hectarCollection.findOne({ protein_id: proteinId })._id; | ||
return this.genesDb.update( | ||
{ $or: [{'subfeatures.ID': proteinId}, {'subfeatures.protein_id': proteinId}] }, | ||
{ $set: { hectarId: hectarIdentifiant } }, | ||
); | ||
} | ||
} else { | ||
logger.warn(` | ||
Warning ! ${proteinId} hectar annotation did | ||
not find a matching protein domain in the genes database. | ||
${proteinId} is not added to the hectar database.`); | ||
} | ||
} | ||
}; | ||
} | ||
|
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const addHectar = new ValidatedMethod({ | ||
name: 'addHectar', | ||
validate: new SimpleSchema({ | ||
fileName: { type: String }, | ||
}).validator(), | ||
applyOptions: { | ||
noRetry: true, | ||
}, | ||
run({ fileName }) { | ||
if (!this.userId) { | ||
throw new Meteor.Error('not-authorized'); | ||
} | ||
if (!Roles.userIsInRole(this.userId, 'admin')) { | ||
throw new Meteor.Error('not-authorized'); | ||
} | ||
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logger.log('file :', { fileName }); | ||
const job = new Job(jobQueue, 'addHectar', { fileName }); | ||
const jobId = job.priority('high').save(); | ||
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let { status } = job.doc; | ||
logger.debug(`Job status: ${status}`); | ||
while ((status !== 'completed') && (status !== 'failed')) { | ||
const { doc } = job.refresh(); | ||
status = doc.status; | ||
} | ||
return { result: job.doc.result, jobStatus: status}; | ||
}, | ||
}); | ||
|
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export default addHectar; | ||
export { HectarProcessor }; |
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/* eslint-env mocha */ | ||
import { resetDatabase } from 'meteor/xolvio:cleaner'; | ||
import chai from 'chai'; | ||
import logger from '../../util/logger'; | ||
import { hectarCollection } from './hectarCollection'; | ||
import addHectar from './addHectar'; | ||
import { addTestUsers, addTestGenome } from '../../../startup/server/fixtures/addTestData'; | ||
import '../../jobqueue/process-hectar'; | ||
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describe('hectar', function testHectar() { | ||
let adminId; | ||
let newUserId; | ||
let adminContext; | ||
let userContext; | ||
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logger.log('Testing Hectar methods'); | ||
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beforeEach(() => { | ||
({ adminId, newUserId } = addTestUsers()); | ||
adminContext = { userId: adminId }; | ||
userContext = { userId: newUserId }; | ||
}); | ||
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afterEach(() => { | ||
resetDatabase(); | ||
}); | ||
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it('Should add Hectar tab file', function importhectar() { | ||
// Increase timeout | ||
this.timeout(20000); | ||
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addTestGenome(annot = true); | ||
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const hectarParams = { | ||
fileName: 'assets/app/data/Bnigra_hectar.tab', | ||
}; | ||
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// Should fail for non-logged in | ||
chai.expect(() => { | ||
addHectar._execute({}, hectarParams); | ||
}).to.throw('[not-authorized]'); | ||
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// Should fail for non admin user | ||
chai.expect(() => { | ||
addHectar._execute(userContext, hectarParams); | ||
}).to.throw('[not-authorized]'); | ||
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const { result } = addHectar._execute(adminContext, hectarParams); | ||
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chai.assert.equal(result.nInserted, 1) | ||
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const hecs = hectarCollection.find({ protein_id: 'BniB01g000010.2N.1' }).fetch(); | ||
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chai.assert.lengthOf(hecs, 1, 'No hectar data found'); | ||
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const hec = hecs[0]; | ||
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chai.assert.equal(hec.predicted_targeting_category, 'other localisation'); | ||
chai.assert.equal(hec.signal_peptide_score, '0.0583'); | ||
chai.assert.equal(hec.typeII_signal_anchor_score, '0.0228'); | ||
chai.assert.equal(hec.mitochondrion_score, '0.1032'); | ||
chai.assert.equal(hec.other_score, '0.8968'); | ||
}); | ||
}); |
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import SimpleSchema from 'simpl-schema'; | ||
import { Mongo } from 'meteor/mongo'; | ||
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const hectarSchema = new SimpleSchema({ | ||
protein_id: { | ||
type: String, | ||
label: 'Query sequence name and type.', | ||
}, | ||
predicted_targeting_category: { | ||
type: String, | ||
label: 'Predicted sub-cellular localization.', | ||
}, | ||
signal_peptide_score: { | ||
type: String, | ||
label: 'Probability (score) to be a signal peptide.', | ||
}, | ||
signal_peptide_cleavage_site: { | ||
type: String, | ||
label: 'Predicted cleavage site of signal peptide.', | ||
}, | ||
typeII_signal_anchor_score: { | ||
type: String, | ||
label: 'Probability (score) to be a type II signal anchor.', | ||
}, | ||
chloroplast_score: { | ||
type: String, | ||
label: 'Probability (score) to be in chloroplast.', | ||
}, | ||
mitochondrion_score: { | ||
type: String, | ||
label: 'Probability (score) to be in mitochondrion.', | ||
}, | ||
other_score: { | ||
type: String, | ||
label: 'Probability (score) to be elsewhere .', | ||
}, | ||
}); | ||
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const hectarCollection = new Mongo.Collection('hectar'); | ||
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export { hectarCollection, hectarSchema }; |
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Original file line number | Diff line number | Diff line change |
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import { HectarProcessor } from '/imports/api/genes/hectar/addHectar.js'; | ||
import logger from '/imports/api/util/logger.js'; | ||
import jobQueue from './jobqueue.js'; | ||
import readline from 'readline'; | ||
import fs from 'fs'; | ||
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jobQueue.processJobs( | ||
'addHectar', | ||
{ | ||
concurrency: 4, | ||
payload: 1, | ||
}, | ||
async (job, callback) => { | ||
const { fileName } = job.data; | ||
logger.log(`Add ${fileName} hectar file.`); | ||
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const lineProcessor = new HectarProcessor(); | ||
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const rl = readline.createInterface({ | ||
input: fs.createReadStream(fileName, 'utf8'), | ||
crlfDelay: Infinity, | ||
}); | ||
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const { size: fileSize } = await fs.promises.stat(fileName); | ||
let processedBytes = 0; | ||
let processedLines = 0; | ||
let nHectar = 0; | ||
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for await (const line of rl) { | ||
processedBytes += line.length + 1; // also count \n | ||
processedLines += 1; | ||
|
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if ((processedLines % 100) === 0) { | ||
await job.progress( | ||
processedBytes, | ||
fileSize, | ||
{ echo: true }, | ||
(err) => { | ||
if (err) logger.error(err); | ||
}, | ||
); | ||
} | ||
|
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try { | ||
await lineProcessor.parse(line); | ||
nHectar = lineProcessor.getNumberHectar(); | ||
} catch (err) { | ||
logger.error(err); | ||
job.fail({ err }); | ||
callback(); | ||
} | ||
} | ||
logger.log(`Inserted ${nHectar} Hectar`); | ||
job.done({ nInserted: nHectar }); | ||
callback(); | ||
}, | ||
); |
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