Exemple #1
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def populateDB(siteDd):
    transactions = ncr.getTransactionsBySite(siteId)
    for transaction in transactions['pageContent']:
        tlogId = transaction['tlogId']
        transLog = ncr.getTransactionsByDoc(tlogId)
        price = transLog['tlog']['totals']['grandAmount']['amount']
        for item in transLog['tlog']['items']:
            itemId = item['id']
            itemName = item['productName']
            itemName = re.sub('\'', '', itemName)
            actualAmount = item['actualAmount']['amount']
            print(
                "SELECT * from individualItems where ncrItemId = N\'{}\' and price = {}"
                .format(itemId, actualAmount))
            possibleMatch = db.readSQL(
                "SELECT id from individualItems where ncrItemId = N\'{}\' and price = {}"
                .format(itemId, actualAmount))
            if (len(possibleMatch) == 0):
                print(
                    "INSERT into \"dbo\".\"individualItems\" (ncrItemId, price, description) values (N\'{}\', {}, N\"{}\")"
                    .format(itemId, actualAmount, itemName))
                db.writeSQL(
                    "INSERT into \"dbo\".\"individualItems\" (ncrItemId, price, description) values (N\'{}\', {}, N\'{}\')"
                    .format(itemId, actualAmount, itemName))
                possibleMatch = db.readSQL(
                    "SELECT id from individualItems where ncrItemId = N\'{}\' and price = {}"
                    .format(itemId, actualAmount))
            transactionTime = transaction['endTransactionDateTimeUtc']
            utc_time = datetime.strptime(transactionTime, "%Y-%m-%dT%H:%M:%SZ")
            query = "INSERT into \"dbo\".\"individualTransactions\" (indItemId, dayOfWeek, hourOfDay, siteId) values ({}, {}, {}, N\'{}\' )".format(
                possibleMatch[0][0], utc_time.weekday(), utc_time.hour, siteId)
            db.writeSQL(query)
Exemple #2
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def setCategory():
    categoryId = request.json['categoryId']
    transactionId = request.json['transactionId']
    db.writeSQL(
        "UPDATE individualTransactions SET categoryId = {} where id = {}".
        format(categoryId, transactionId))
    db.writeSQL(
        "UPDATE individualTransactions SET categoryUserApproved = N\'yes\' where id = {}"
        .format(transactionId))

    entities = db.readSQL(
        "SELECT id, itemId, categoryId from entityCategoryMap where categoryId = {}"
    )
    #apply category change to other transactions where human approval not given
    for entity in entities:
        otherItemId = entity[1]
        toFillIn = db.readSQL(
            "SELECT id FROM individualTransactions where indItemId = {} and categoryUserApproved is null"
            .format(otherItemId))
        for id in toFillIn:
            transactionId = toFillIn[0]
            db.writeSQL(
                "UPDATE individualTransactions SET categoryId = {} where id = {}"
                .format(categoryId, transactionId))
            db.writeSQL(
                "UPDATE individualTransactions SET categoryUserApproved = N\'yes\' where id = {}"
                .format(transactionId))
Exemple #3
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def generateConceptForTransaction(transactionId):
    res = db.readSQL("SELECT description, categoryUserApproved, indItemId FROM individualTransactions join individualItems on individualItems.id = indItemId where individualTransactions.id = {}".format(transactionId))
    if len(res) == 0:
        raise Exception("No transaction matching the expected id")
    name = res[0][0]
    itemId = res[0][2]
    snippets = searchSnippets(name, count=5)
    snippets.append(name)
    # entities = importantEntities(snippets)
    # for entity in entities.keys():
    #     snippets += (searchSnippets(entity, count=5))
    entities = importantEntities(snippets)
    preexistingConcept = None

    concept = findMaxInDict(entities)
    concept = re.sub("\'", '', concept)
    concept = re.sub('ā', 'a', concept)

    if res[0][1] is None or res[0][1] == "false":
        siteId = db.readSQL("SELECT siteId from individualTransactions where individualTransactions.id = N\'{}\'".format(transactionId))[0][0]
        db.writeSQL("INSERT into categories (siteId, description) VALUES (N\'{}\', N\'{}\')".format(siteId, concept))
        conceptId = db.readSQL("SELECT id FROM categories where siteId = N\'{}\' and description = N\'{}\'".format(siteId, concept))[0][0]
        db.writeSQL("UPDATE individualTransactions SET categoryId = {} where id = {}".format(conceptId, transactionId))
        for entity in entities:
            db.writeSQL("INSERT into entityCategoryMap (categoryId, entityName, itemId) values ({}, N\'{}\', {})".format(conceptId, entity, itemId))
        return concept
Exemple #4
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def autogenAll():
    if request.json is not None and 'ids' in request.json.keys() and len(
            request.json['ids']) != 0:
        ids = request.json['ids']
    else:
        ids = db.readSQL("SELECT id from individualTransactions")
        ids = [tranId[0] for tranId in ids]
    for tranId in ids:
        microsoft.generateConceptForTransaction(tranId)
    return 'completed'
Exemple #5
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def transactionFreqs():
    siteId = request.json['siteId']
    if "day" in request.json.keys() and "hour" in request.json.keys():
        day = request.json['day']  #0 - 6
        hour = request.json['hour']  #0 - 23

        data = db.readSQL(
            "SELECT sum(price), individualTransactions.categoryId, categories.description, longitude, latitude FROM individualTransactions \
                   join individualItems on individualItems.id = individualTransactions.indItemId \
                   join categories on categories.id = individualTransactions.categoryId \
                   join sites on individualTransactions.siteId = sites.id \
                   where individualTransactions.siteId = N\'{}\' and dayOfWeek = {} and hourOfDay = {} group by individualTransactions.categoryId, categories.description, longitude, latitude"
            .format(siteId, day, hour))
        toRet = Dict()
        i = 0
        for row in data:
            toRet[i].siteId = siteId
            toRet[i].totalSales = row[0]
            toRet[i].categoryId = row[1]
            toRet[i].description = row[2]
            toRet[i].longitude = row[3]
            toRet[i].latitude = row[4]
            i += 1
        return json.dumps(toRet)
    else:
        data = db.readSQL(
            "SELECT sum(price), individualTransactions.categoryId, categories.description, longitude, latitude FROM individualTransactions \
                   join individualItems on individualItems.id = individualTransactions.indItemId \
                   join categories on categories.id = individualTransactions.categoryId \
                   join sites on individualTransactions.siteId = sites.id \
                   where individualTransactions.siteId = N\'{}\' group by individualTransactions.categoryId, categories.description, longitude, latitude"
            .format(siteId))
        toRet = Dict()
        i = 0
        for row in data:
            toRet[i].siteId = siteId
            toRet[i].totalSales = row[0]
            toRet[i].categoryId = row[1]
            toRet[i].description = row[2]
            toRet[i].longitude = row[3]
            toRet[i].latitude = row[4]
            i += 1
        return json.dumps(toRet)
Exemple #6
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def transactionStatsData():

    day = request.json['day']  #0 - 6
    hour = request.json['hour']  #0 - 23
    cat = request.json['categoryId']
    if 'siteId' in request.json.keys():
        siteId = request.json['siteId']

        res = db.readSQL(
            "SELECT individualTransactions.id, price FROM individualTransactions JOIN individualItems on indItemId = individualItems.id where dayOfWeek = {} and hourOfDay = {} and categoryId = {} and siteId = N\'{}\'"
            .format(day, hour, cat, siteId))

    else:
        siteId = None
        res = db.readSQL(
            "SELECT individualTransactions.id, price FROM individualTransactions  JOIN individualItems on indItemId = individualItems.id where dayOfWeek = {} and hourOfDay = {} and categoryId = {}"
            .format(day, hour, cat))

    prices = []
    for row in res:
        prices.append(row[1])
    if len(prices) <= 1:
        varPrice = 0
    else:
        varPrice = variance(prices)
    if 'siteId' in request.json.keys():
        return json.dumps({
            'siteId': siteId,
            'category': cat,
            'day': day,
            'hour': hour,
            'avgPrice': mean(prices),
            'var': varPrice
        })
    else:
        return json.dumps({
            'category': cat,
            'day': day,
            'hour': hour,
            'avgPrice': mean(prices),
            'var': varPrice
        })
Exemple #7
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def allTransactionData():
    if "day" in request.json.keys() and "hour" in request.json.keys():
        day = request.json['day']  #0 - 6
        hour = request.json['hour']  #0 - 23
        data = db.readSQL(
            "SELECT sum(price), individualTransactions.categoryId, categories.description, longitude, latitude, individualTransactions.siteId FROM individualTransactions \
               join individualItems on individualItems.id = individualTransactions.indItemId \
               join categories on categories.id = individualTransactions.categoryId \
               join sites on individualTransactions.siteId = sites.id \
               where dayOfWeek = {} and hourOfDay = {} \
               group by individualTransactions.siteId, individualTransactions.categoryId, categories.description, longitude, latitude"
            .format(day, hour))
    else:
        data = db.readSQL(
            "SELECT sum(price), individualTransactions.categoryId, categories.description, longitude, latitude, individualTransactions.siteId FROM individualTransactions \
               join individualItems on individualItems.id = individualTransactions.indItemId \
               join categories on categories.id = individualTransactions.categoryId \
               join sites on individualTransactions.siteId = sites.id \
               group by individualTransactions.siteId, individualTransactions.categoryId, categories.description, longitude, latitude"
        )
    toRet = Dict()
    i = 0
    sumPricesBySiteId = Dict()
    for row in data:
        toRet[i].siteId = row[5]
        toRet[i].totalSales = row[0]
        toRet[i].categoryId = row[1]
        toRet[i].description = row[2]
        toRet[i].longitude = row[3]
        toRet[i].latitude = row[4]
        i += 1
        if row[5] in sumPricesBySiteId.keys():
            sumPricesBySiteId[row[5]] += row[0]
        else:
            sumPricesBySiteId[row[5]] = row[0]
    for j in range(i):
        toRet[j].proportionOfSiteSales = toRet[
            j].totalSales / sumPricesBySiteId[toRet[j].siteId]
    return json.dumps(toRet)
Exemple #8
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def getCategories(siteid):
    if request.method == 'GET':
        res = db.readSQL(
            "SELECT * FROM categories where siteid = N\'{}\'".format(siteid))
        toReturn = []
        for row in res:
            toReturn.append({
                'categoryId': row[0],
                'siteID': row[1],
                'description': row[2]
            })
        return json.dumps(toReturn)
    elif request.method == 'POST':
        category = request.json['category']
        res = db.writeSQL(
            "INSERT into categories (siteId, description) values ({}, N\'{}\')"
            .format(siteid, category))
Exemple #9
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def getTransactionsByIds():
    args = request.args.to_dict()
    print(args)
    min = args['startId']
    max = args['endId']
    res = db.readSQL(
        "SELECT individualTransactions.id as id, individualTransactions.dayOfWeek as day, individualTransactions.hourOfDay as hour, \
                     individualItems.price as price, description as description, individualTransactions.siteId as siteId\
                     FROM individualTransactions join individualItems on individualItems.id = indItemId where individualTransactions.id >= {} and individualTransactions.id <= {}"
        .format(min, max))
    toReturn = []
    for row in res:
        toReturn.append({
            'id': row[0],
            'day': row[1],
            'hour': row[2],
            'price': row[3],
            'description': row[4],
            'siteId': row[5]
        })
    return json.dumps(toReturn)
Exemple #10
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    siteData = ncr.getSiteById(siteId)
    siteLong = siteData['coordinates']['longitude']
    siteLat = siteData['coordinates']['latitude']
    db.writeSQL("insert into sites values (N\'{}\', {}, {})".format(siteId, siteLong, siteLat))
    transactions = ncr.getTransactionsBySite(siteId)
    for transaction in transactions['pageContent']:
        tlogId = transaction['tlogId']
        transLog = ncr.getTransactionsByDoc(tlogId)
        price = transLog['tlog']['totals']['grandAmount']['amount']
        for item in transLog['tlog']['items']:
            itemId = item['id']
            itemName = item['productName']
            itemName = re.sub('\'', '',itemName)
            actualAmount = item['actualAmount']['amount']
            print("SELECT * from individualItems where ncrItemId = N\'{}\' and price = {}".format(itemId, actualAmount))
            possibleMatch =  db.readSQL("SELECT id from individualItems where ncrItemId = N\'{}\' and price = {}".format(itemId, actualAmount))
            if (len(possibleMatch) == 0):
                print("INSERT into \"dbo\".\"individualItems\" (ncrItemId, price, description) values (N\'{}\', {}, N\"{}\")".format(itemId, actualAmount, itemName))
                db.writeSQL("INSERT into \"dbo\".\"individualItems\" (ncrItemId, price, description) values (N\'{}\', {}, N\'{}\')".format(itemId, actualAmount, itemName))
                possibleMatch =  db.readSQL("SELECT id from individualItems where ncrItemId = N\'{}\' and price = {}".format(itemId, actualAmount))
            transactionTime = transaction['endTransactionDateTimeUtc']
            utc_time = datetime.strptime(transactionTime, "%Y-%m-%dT%H:%M:%SZ")
            query = "INSERT into \"dbo\".\"individualTransactions\" (indItemId, dayOfWeek, hourOfDay, siteId) values ({}, {}, {}, N\'{}\' )".format(possibleMatch[0][0], utc_time.weekday(), utc_time.hour, siteId)
            print(query)
            db.writeSQL(query)
#

ids = db.readSQL("SELECT individualTransactions.id from individualTransactions left join categories on categories.id = categoryId where categories.description is null");
ids = [tranId[0] for tranId in ids]
for tranId in ids:
    microsoft.generateConceptForTransaction(tranId)
Exemple #11
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def ajax_allTransactionData_splitByTime():

    if request.json is not None and "day" in request.json.keys(
    ) and "hour" in request.json.keys():
        day = request.json['day']  #0 - 6
        hour = request.json['hour']  #0 - 23
        data = db.readSQL(
            "SELECT sum(price), individualTransactions.categoryId, categories.description, longitude, latitude, individualTransactions.siteId FROM individualTransactions \
               join individualItems on individualItems.id = individualTransactions.indItemId \
               join categories on categories.id = individualTransactions.categoryId \
               join sites on individualTransactions.siteId = sites.id \
               where dayOfWeek = {} and hourOfDay = {} \
               group by individualTransactions.siteId, individualTransactions.categoryId, categories.description, longitude, latitude"
            .format(day, hour))
    else:
        data = db.readSQL(
            "SELECT sum(price), individualTransactions.categoryId, categories.description, longitude, latitude, individualTransactions.siteId, dayOfWeek, hourOfDay FROM individualTransactions \
               join individualItems on individualItems.id = individualTransactions.indItemId \
               join categories on categories.id = individualTransactions.categoryId \
               join sites on individualTransactions.siteId = sites.id \
               group by individualTransactions.siteId, individualTransactions.categoryId, categories.description, longitude, latitude, dayOfWeek, hourOfDay"
        )
    toRet = Dict()
    i = 0
    bySiteId = Dict()
    for row in data:
        toRet[i].siteId = row[5]
        toRet[i].totalSales = row[0]
        toRet[i].categoryId = row[1]
        toRet[i].description = row[2]
        toRet[i].longitude = row[3]
        toRet[i].latitude = row[4]
        toRet[i].day = row[6]
        toRet[i].hour = row[7]
        if row[5] in bySiteId.keys():
            bySiteId[row[5]].size += row[0]
            bySiteId[row[5]].cats.append(toRet[i])
        else:
            bySiteId[row[5]].size = row[0]
            bySiteId[row[5]].cats = [toRet[i]]
        i += 1

    for j in range(i):
        toRet[j].proportionOfSiteSales = toRet[j].totalSales / bySiteId[
            toRet[j].siteId].size
    toRetReally = []
    for siteId in bySiteId.keys():
        toappend = {
            'siteId': siteId,
            'longitude': bySiteId[siteId].cats[0].longitude,
            'latitude': bySiteId[siteId].cats[0].latitude,
            'size': bySiteId[siteId].size,
            'categories': []
        }
        for cat in bySiteId[siteId].cats:
            toappend['categories'].append({
                'title': cat.description,
                'value': cat.totalSales,
                'proportion': cat.proportionOfSiteSales,
                'day': cat.day,
                'week': cat.week
            })
        toRetReally.append(toappend)
    resp = Response(json.dumps(toRetReally))
    resp.headers['Access-Control-Allow-Origin'] = '*'
    resp.mimetype = 'application/json'
    return resp
Exemple #12
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def categoryEntityLink(entity):
    db.readSQL("SELECT categoryId, description from entityCategoryMap join categories on categories.id = categoryId where entity = N\'{}\'".format(entity))