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extract_db.py
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import mephisto.abstractions.blueprints.ranking_task.db as db
from mongoengine import *
import json
import os
DATABBASE_URL = "mongodb://root:better_password@mongo:27017"
connect(host=DATABBASE_URL)
cad_pipeline = [
{
"$match": {"outputCad": {"$exists": True}}
},
{
"$lookup": {
"from": db.CAD._get_collection().name,
"pipeline": [{
"$lookup": {
"from": db.Sentence._get_collection().name,
"localField": "original",
"foreignField": "_id",
"as": "original"
}
}],
"localField": "outputCad",
"foreignField": "_id",
"as": "outputCad"
}
},
]
ranking_pipeline = [
{
"$match": {"outputRanking": {"$exists": True}}
},
{
"$lookup": {
"from": db.Ranking._get_collection().name,
"localField": "outputRanking",
"foreignField": "_id",
"as": "outputRanking"
}
},
]
rejected_pipeline = [
{
"$match": {"outputExplanation": {"$exists": True}}
},
{
"$lookup": {
"from": db.SkipExplanation._get_collection().name,
"localField": "outputExplanation",
"pipeline": [
{
"$lookup": {
"from": db.Sentence._get_collection().name,
"localField": "original",
"foreignField": "_id",
"as": "original"
}
}],
"foreignField": "_id",
"as": "outputExplanation"
}
},
]
unfinished_units = [
{
"$match": {"outputExplanation": {"$exists": False}}
},
{
"$match": {"outputCad": {"$exists": False}}
},
{
"$match": {"outputRanking": {"$exists": False}}
},
]
# aggregate
cad_units = list(db.Unit._get_collection().aggregate(cad_pipeline))
for u in cad_units:
u['_id'] = str(u['_id'])
u['startTime'] = u['startTime'].timestamp()
u['endTime'] = u['endTime'].timestamp()
# clean output cad
u['outputCad'] = u['outputCad'][0]
u['outputCad']['_id'] = str(u['outputCad']['_id'])
# clean output cad sentence
u['outputCad']['original'] = u['outputCad']['original'][0]
u['outputCad']['original']['_id'] = str(u['outputCad']['original']['_id'])
ranking_units = list(db.Unit._get_collection().aggregate(ranking_pipeline))
for u in ranking_units:
u['_id'] = str(u['_id'])
u['startTime'] = u['startTime'].timestamp()
u['endTime'] = u['endTime'].timestamp()
# clean ranking
u['outputRanking'] = u['outputRanking'][0]
u['outputRanking']['_id'] = str(u['outputRanking']['_id'])
u['outputRanking']['cads'] = [ str(id) for id in u['outputRanking']['cads'] ]
rejected_units = list(db.Unit._get_collection().aggregate(rejected_pipeline))
for u in rejected_units:
u['_id'] = str(u['_id'])
u['startTime'] = u['startTime'].timestamp()
u['endTime'] = u['endTime'].timestamp()
# clean feedback
u['outputExplanation'] = u['outputExplanation'][0]
u['outputExplanation']['_id'] = str(u['outputExplanation']['_id'])
# clean original
u['outputExplanation']['original'] = u['outputExplanation']['original'][0]
u['outputExplanation']['original']['_id'] = str(u['outputExplanation']['original']['_id'])
unfinished_units = list(db.Unit._get_collection().aggregate(unfinished_units))
for u in unfinished_units:
u['_id'] = str(u['_id'])
u['startTime'] = u['startTime'].timestamp()
# write to files
dump_path = './dump'
with open(os.path.join(dump_path, 'cad_units.json'), 'w+') as f:
f.write(json.dumps(cad_units))
with open(os.path.join(dump_path, 'ranking_units.json'), 'w+') as f:
f.write(json.dumps(ranking_units))
with open(os.path.join(dump_path, 'unfinished_units.json'), 'w+') as f:
f.write(json.dumps(unfinished_units))
with open(os.path.join(dump_path, 'rejected_units.json'), 'w+') as f:
f.write(json.dumps(rejected_units))