Main function to orchestrate:
- clearing the collection,
- parsing csv files,
- adding listings to the collection,
- saving meta data
"""
print "Parsing CSVs..."
data = parse_data_files()
mongo_listing_collection = get_listing_collection()
mongo_listing_collection.remove({})
print "Clearing the collection:", mongo_listing_collection.count()
print "Adding listings..."
for file_key, file_data in data.iteritems():
for row in file_data["rows"]:
output = row["output"]
listing = output
create_listing(listing)
print "Saving ['meta'] : {'name': '_tinyclassified', 'next_author_id'}..."
get_database()["meta"].save({"name": "_tinyclassified", "next_author_id": IncrementingNumber.get()})
print "Success"
if __name__ == "__main__":
tiny_classified.initialize_standalone()
main()
def setup_tests():
import tiny_classified
tiny_classified.initialize_standalone()
