smartsheets points integration script (#43)

* smartsheets integration

* smartsheet update

* smartsheets update 2

* smartsheets update 3 - tidying mostly

* added rowId for smartsheets

* externalized token

* externalized board & sheet id

smartsheets-stats.py

@@ -0,0 +1,98 @@
+#!/usr/bin/env python
+
+import smartsheet,json,argparse,sys,re,os
+from datetime import datetime, timedelta
+from dateutil.relativedelta import relativedelta
+
+API_TOKEN_NAME = 'SMARTSHEETS_API_TOKEN'
+DEFAULT_POINTS_GROUPING = "Cards Closed"
+
+def valid_date(s):
+    try:
+        return datetime.strptime(s, "%Y-%m-%d")
+    except ValueError:
+        msg = "Not a valid date: '{0}'.".format(s)
+        raise argparse.ArgumentTypeError(msg)
+
+parser = argparse.ArgumentParser(description='Gather Smartsheet Statistics.')
+parser.add_argument("-s","--start-date", help="The start date to query from", type=valid_date)
+parser.add_argument("-e","--sheet-id", help="The smartsheets sheet id to pull data from")
+parser.add_argument("-g","--points-grouping", help="Points grouping (ie. Cards Closed)")
+parser.add_argument("-b","--board-id", help="Link back to the original smartsheet")
+parser.add_argument("-c","--channel", help="Points Channel")
+args = parser.parse_args()
+start_date = args.start_date
+points_grouping = args.points_grouping
+channel = args.channel
+sheet_id = args.sheet_id
+board_id = args.board_id
+
+if start_date is None:
+    print "Error: Please provide a start date!"
+    sys.exit(1)
+
+if sheet_id is None:
+    print "Error: Smartsheets sheet ID must be provided!"
+    sys.exit(1)
+
+if board_id is None:
+    print "Error: Smartsheets board ID must be provided in order to build a like back to the origin of the points!"
+    sys.exit(1)
+
+if points_grouping is None:
+    points_grouping = DEFAULT_POINTS_GROUPING
+
+
+api_token = os.environ.get(API_TOKEN_NAME)
+if not api_token:
+    print "Error: Smartsheets API Key is Required!"
+    sys.exit(1)
+
+
+today_date = datetime.now()
+
+ss = smartsheet.Smartsheet(api_token)
+ss.errors_as_exceptions(True)
+sheet = ss.Sheets.get_sheet(sheet_id)
+
+column_map={}
+for column in sheet.columns:
+    column_map[column.title] = column.id
+
+
+def get_cell_by_column_name(row, column_name):
+    column_id = column_map[column_name]
+    return row.get_column(column_id)
+
+
+fields=["Row ID","Program Name","Points","Created By"]
+for r in sheet.rows:
+    row={}
+    jsonData=json.loads(r.to_json())
+    row["modifiedAt"]=jsonData["modifiedAt"]
+    row["id"]=str(jsonData["id"])
+    modifiedAt=datetime.strptime(str(row["modifiedAt"])[:10], "%Y-%m-%d")
+    status=get_cell_by_column_name(r,"Status").value
+
+    if modifiedAt >= start_date and status=="Approved" and (channel is None or (channel!=None and re.search(channel, row["Program Name"])!=None)):
+        for field in fields:
+            row[field]=get_cell_by_column_name(r,field).value
+        row["Created By"]=row["Created By"].replace("@redhat.com","")
+        if re.search("Thought Leadership.*", row["Program Name"]):
+            pool="ThoughtLeadership"
+        if re.search("Community.*", row["Program Name"]):
+            pool="ThoughtLeadership"
+        if re.search("Adopt.*", row["Program Name"]):
+            pool="ServicesSupport"
+        if re.search("First and Thirds.*", row["Program Name"]):
+            pool="ServicesSupport"
+
+        print "{0}/SS{1}/{2}/{3} [pool={4},board={5},rowId={6},linkId={7}]".format(points_grouping, row["id"], row["Created By"],int(row["Points"]),pool,board_id,row["id"],row["Row ID"])
+
+        # outputs Giveback "duplicate records" as output. Used to prevent historical duplicate allocation of points  
+        #print "\"SS{0}.{1}\",".format(row["id"],row["Created By"])
+
+
+
+
+