| Line 204... |
Line 204... |
| 204 |
if daysOfStock > 5:
|
204 |
if daysOfStock > 5:
|
| 205 |
markReasonForItem(autoIncrementItem,'Days of stock greater than 5',Decision.AUTO_INCREMENT_FAILED)
|
205 |
markReasonForItem(autoIncrementItem,'Days of stock greater than 5',Decision.AUTO_INCREMENT_FAILED)
|
| 206 |
continue
|
206 |
continue
|
| 207 |
if autoIncrementItem.isPromotion:
|
207 |
if autoIncrementItem.isPromotion:
|
| 208 |
antecedentPrice = session.query(AmazonScrapingHistory.promoPrice).filter(AmazonScrapingHistory.item_id==autoIncrementItem.item_id).filter(AmazonScrapingHistory.timestamp>time-timedelta(days=1)).order_by(asc(AmazonScrapingHistory.timestamp)).first()
|
208 |
antecedentPrice = session.query(AmazonScrapingHistory.promoPrice).filter(AmazonScrapingHistory.item_id==autoIncrementItem.item_id).filter(AmazonScrapingHistory.timestamp>time-timedelta(days=1)).order_by(asc(AmazonScrapingHistory.timestamp)).first()
|
| - |
|
209 |
print "antecedentPrice ",antecedentPrice
|
| 209 |
if antecedentPrice is not None:
|
210 |
if antecedentPrice is not None:
|
| 210 |
if float(math.ceil(autoIncrementItem.promoPrice+max(10,.01*autoIncrementItem.promoPrice))-math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0])))/math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0]))>.02:
|
211 |
if float(math.ceil(autoIncrementItem.promoPrice+max(10,.01*autoIncrementItem.promoPrice))-math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0])))/math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0]))>.02:
|
| 211 |
markReasonForItem(autoIncrementItem,'Maximum price increase in last 24 hours should be 2%',Decision.AUTO_INCREMENT_FAILED)
|
212 |
markReasonForItem(autoIncrementItem,'Maximum price increase in last 24 hours should be 2%',Decision.AUTO_INCREMENT_FAILED)
|
| 212 |
continue
|
213 |
continue
|
| 213 |
else:
|
214 |
else:
|
| 214 |
antecedentPrice = session.query(AmazonScrapingHistory.ourSellingPrice).filter(AmazonScrapingHistory.item_id==autoIncrementItem.item_id).filter(AmazonScrapingHistory.timestamp>time-timedelta(days=1)).order_by(asc(AmazonScrapingHistory.timestamp)).first()
|
215 |
antecedentPrice = session.query(AmazonScrapingHistory.ourSellingPrice).filter(AmazonScrapingHistory.item_id==autoIncrementItem.item_id).filter(AmazonScrapingHistory.timestamp>time-timedelta(days=1)).order_by(asc(AmazonScrapingHistory.timestamp)).first()
|
| - |
|
216 |
print "antecedentPrice else ",antecedentPrice
|
| 215 |
if antecedentPrice is not None:
|
217 |
if antecedentPrice is not None:
|
| 216 |
if float(math.ceil(autoIncrementItem.ourSellingPrice+max(10,.01*autoIncrementItem.ourSellingPrice))-math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0])))/math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0]))>.02:
|
218 |
if float(math.ceil(autoIncrementItem.ourSellingPrice+max(10,.01*autoIncrementItem.ourSellingPrice))-math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0])))/math.ceil(antecedentPrice[0]+max(10,.01*antecedentPrice[0]))>.02:
|
| 217 |
markReasonForItem(autoIncrementItem,'Maximum price increase in last 24 hours should be 2%',Decision.AUTO_INCREMENT_FAILED)
|
219 |
markReasonForItem(autoIncrementItem,'Maximum price increase in last 24 hours should be 2%',Decision.AUTO_INCREMENT_FAILED)
|
| 218 |
continue
|
220 |
continue
|
| 219 |
fbaSaleSnapshot = transaction_client.getAmazonFbaSalesLatestSnapshotForItemLocationWise(autoIncrementItem.item_id,autoIncrementItem.warehouseLocation)
|
221 |
fbaSaleSnapshot = transaction_client.getAmazonFbaSalesLatestSnapshotForItemLocationWise(autoIncrementItem.item_id,autoIncrementItem.warehouseLocation)
|