def get_merchant_db_data(store, numdays):
start, end = get_sliding_date_range(numdays)
merchant_report = MerchantDbReport(store, ["marketingSource","keyword"],
["revenue", "order_count"], ["add", "add"], None, time_aggregation=None)
merchant_data = merchant_report.get_data(mode=None, length=None, start_date=start, end_date=end)
entries = merchant_data["entries"]
#vurve_sales = filter(lambda x: x["dimensions"]["marketingSource"]["value"] == "Vurve", entries)
#nonvurve_sales = filter(lambda x: x["dimensions"]["marketingSource"]["value"] != "Vurve", entries)
keyword_rev_data = nested_dict()
for e in entries:
for kw in e['dimensions']['keyword']['value']:
keyword_rev_data[kw.lower()]['marketingSource'] = e["dimensions"]["marketingSource"]["value"]
keyword_rev_data[kw.lower()]['revenue'] = e["metrics"]["revenue"]["value"]
keyword_rev_data[kw.lower()]['order_count'] = e["metrics"]["order_count"]["value"]
"""
for entry in vurve_sales:
for kw in entry["dimensions"]["keyword"]["value"]:
keyword_rev_data[kw.lower()]["vurve"] = entry["metrics"]["revenue"]["value"]
for entry in nonvurve_sales:
for kw in entry["dimensions"]["keyword"]["value"]:
keyword_rev_data[kw.lower()]["nonvurve"] = entry["metrics"]["revenue"]["value"]
"""
return keyword_rev_data
def get_adwords_data(store, numdays):
start, end = get_sliding_date_range(numdays)
adwords_report = AdwordsReport(store, ["kwSite"],
["cost", "qualityScore"], ["add", "average"], None, time_aggregation=None)
report = adwords_report.get_data(mode=None, length=None, start_date=start, end_date=end)
spend_data = nested_dict()
for entry in report["entries"]:
kw = entry["dimensions"]["kwSite"]["value"].lower()
spend_data[kw]['cost'] = entry["metrics"]["cost"]["value"]
spend_data[kw]['quality'] = entry["metrics"]["qualityScore"]["value"]
return spend_data
def get_time_on_site_data(store, numdays):
pixeldb_report = PixelDbReport(store, ["mkg_id","visitor"], ["time_spent"],["add"], None, None)
start, end = get_sliding_date_range(numdays)
data = pixeldb_report.get_data(None, None, start, end)
kw_avg_time_spent = {}
for e in data["entries"]:
if e['dimensions']['mkg_id']['value'] is not None:
kw = e['dimensions']['mkg_id']['value'].lower()
if kw not in kw_avg_time_spent:
kw_avg_time_spent[kw] = []
kw_avg_time_spent[kw].append(e['metrics']['time_spent']['value'])
return kw_avg_time_spent