Merge branch 'cleanup' of s333949/archSpeechReco into master
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commit
849e2cf21c
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.gitignore
vendored
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.gitignore
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__pycache__
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43
requirements.txt
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requirements.txt
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attrs==19.3.0
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Automat==0.8.0
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cachetools==3.1.1
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certifi==2019.11.28
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cffi==1.13.2
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chardet==3.0.4
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constantly==15.1.0
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cryptography==2.8
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cssselect==1.1.0
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google-api-core==1.14.3
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google-auth==1.8.2
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google-cloud==0.34.0
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google-cloud-core==1.1.0
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google-cloud-speech==1.3.1
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google-cloud-storage==1.23.0
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google-resumable-media==0.5.0
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googleapis-common-protos==1.6.0
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grpcio==1.26.0
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hyperlink==19.0.0
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idna==2.8
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incremental==17.5.0
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lxml==4.4.1
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parsel==1.5.2
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Protego==0.1.15
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protobuf==3.11.1
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pyasn1==0.4.8
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pyasn1-modules==0.2.7
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pycparser==2.19
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PyDispatcher==2.0.5
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PyHamcrest==1.9.0
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pymongo==3.10.0
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pyOpenSSL==19.0.0
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pytz==2019.3
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queuelib==1.5.0
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requests==2.22.0
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rsa==4.0
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Scrapy==1.8.0
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service-identity==18.1.0
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six==1.13.0
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Twisted==19.10.0
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urllib3==1.25.7
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w3lib==1.21.0
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zope.interface==4.7.1
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5903
resources/dbSamples/archSpeechReco.json
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5903
resources/dbSamples/archSpeechReco.json
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resources/dbSamples/archSpeechRecoArray.json
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resources/dbSamples/archSpeechRecoArray.json
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src/fix_transcript.py
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src/fix_transcript.py
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from storageUpload import getMongoCollection
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mongoUri = "mongodb://speechRecoUser:speech!reco@localhost/archSpeechReco"
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dbName = "archSpeechReco"
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colName = "moviesMeta"
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col = getMongoCollection(colName,dbName,mongoUri)
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pipeline = [{'$match': {'gcTextReco.words': {'$exists': True}}}, {'$project': {'gcTextReco.words': 1}}]
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col.aggregate(pipeline)
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words = col.aggregate(pipeline)
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words_dict = dict()
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for w in words:
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ww = w['gcTextReco']['words']
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words_dict[w['_id']] = " ".join([ e['word'] for e in ww ])
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for key, value in words_dict.items():
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try:
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col.update_one({"_id": key},{"$set":{"gcTextReco.transcript_fix":value}})
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except Exception as e:
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print(e)
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else:
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print(f"mongo update OK {key}")
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src/gcs2scp.sh
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src/gcs2scp.sh
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#!/bin/bash
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for i in `gsutil ls gs://archspeechreco/wave/5df3e63c4c0402698d782e*`
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do
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gsutil -cp $i ./temp/
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scp -P 2222 -i .ssh/id_rsa_mongo ./temp/* wojciechs@gonito.net:~/
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rm -f ./temp/*
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done
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src/temp
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src/temp
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mongoUri = "mongodb://speechRecoUser:speech!reco@localhost/archSpeechReco"
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dbName = "archSpeechReco"
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colName = "moviesMeta"
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def getMongoCollection(colName,dbName,uri):
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client = MongoClient(uri,maxPoolSize=512)
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db = client[dbName]
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col = db[colName]
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return col
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col = getMongoCollection(colName,dbName,mongoUri)
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col.aggregate(pipeline)
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pipeline = [{'$match': {'gcTextReco': {'$exists': True}}}, {'$project': {'gcTextReco.words': 1}}, {'$limit': 10}]
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words = col.aggregate(pipeline)
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for w in words:
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ww = w['gcTextReco']['words']
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words_dict[w['_id']] = " ".join([ e['word'] for e in ww ])
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for key, value in words_dict.items():
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try:
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col.update_one(
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col.update_one({"_id": key},{"$set":{"gcTextReco.transcript_fix":value}})
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except Exception as e: print(e)
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else:
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print(f"mongo update OK {uri.split('/')[4].split('.')[0]}")
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var pipeline = [{"$match":{"gcTextReco": {"$exists": true}}}, {"$project": {"_id":0, "durationStart": { "$concat": ["$description.date", "T00:00:00Z"] }, "wid": {"$toString": parseInt({"$substr": [ {"$toString": "$_id"}, 20, -1]},16) }, "creator": { $ifNull: [ "$description.details.Produkcja", "null" ]}, "originalDate": "$description.date", "contents": ["$gcTextReco.transcript_fix"], "url":"$url", "title":"$title", "durationEnd": { "$concat": ["$description.date", "T23:59:59Z"] }}}, {$out: "export"} ]
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var pipeline = [{"$match":{"gcTextReco": {"$exists": true}}}, {"$project": {"_id":0, "durationStart": { "$concat": ["$description.date", "T00:00:00Z"] }, "wid":{ "$concat": ["Filmoteka_", {"$toString": parseInt({"$substr": [ {"$toString": "$_id"}, 20, -1]},16) } ] }, "creator": { $ifNull: [ "$description.details.Produkcja", "null" ]}, "originalDate": "$description.date", "contents": ["$gcTextReco.transcript"], "url":"$url", "title":"$title", "durationEnd": { "$concat": ["$description.date", "T23:59:59Z"] }}}, {$limit: 2} ]
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var pipeline = [{"$match":{"gcTextReco": {"$exists": true}}}, {"$project": {"_id":0, "durationStart": { "$concat": ["$description.date", "T00:00:00Z"] }, "wid":{ "$concat": ["Filmoteka_", {"$toString": "$_id"} ] }, "creator": { $ifNull: [ "$description.details.Produkcja", "null" ]}, "originalDate": "$description.date", "contents": ["$gcTextReco.transcript_fix"], "url":"$url", "title":"$title", "durationEnd": { "$concat": ["$description.date", "T23:59:59Z"] }}}, {$out: "export3"} ]
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db.moviesMeta.aggregate(pipeline)
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