Update scraper.py

scraper.py

@@ -1,24 +1,79 @@
-# This is a template for a Python scraper on morph.io (https://morph.io)
-# including some code snippets below that you should find helpful
-
-# import scraperwiki
-# import lxml.html
-#
-# # Read in a page
-# html = scraperwiki.scrape("http://foo.com")
-#
-# # Find something on the page using css selectors
-# root = lxml.html.fromstring(html)
-# root.cssselect("div[align='left']")
-#
-# # Write out to the sqlite database using scraperwiki library
-# scraperwiki.sqlite.save(unique_keys=['name'], data={"name": "susan", "occupation": "software developer"})
-#
-# # An arbitrary query against the database
-# scraperwiki.sql.select("* from data where 'name'='peter'")
-
-# You don't have to do things with the ScraperWiki and lxml libraries.
-# You can use whatever libraries you want: https://morph.io/documentation/python
-# All that matters is that your final data is written to an SQLite database
-# called "data.sqlite" in the current working directory which has at least a table
-# called "data".
+#This is the second pass at a scraper of Excel files. 
+#Currently it scrapes all sheets of one spreadsheet, identified by one direct xls URL
+#NEED TO ADD: 
+#More than one spreadsheet, linked from one webpage URL = 'http://transparency.dh.gov.uk/2012/10/26/winter-pressures-daily-situation-reports-2012-13/'
+
+#useful guides at:
+#https://scraperwiki.com/docs/python/python_excel_guide/
+#http://blog.scraperwiki.com/2011/09/14/scraping-guides-excel-spreadsheets/
+#https://scraperwiki.com/docs/python/tutorials/
+
+import scraperwiki
+#import xlrd library - documentation at https://secure.simplistix.co.uk/svn/xlrd/trunk/xlrd/doc/xlrd.html
+import xlrd
+
+#set a variable for the spreadsheet location
+XLS = 'http://webarchive.nationalarchives.gov.uk/20130402145952/http://transparency.dh.gov.uk/files/2012/10/DailySR-Pub-file-WE-11-11-123.xls'
+#use the scrape function on that spreadsheet to create a new variable
+xlbin = scraperwiki.scrape(XLS)
+#use the open_workbook function on that new variable to create another
+book = xlrd.open_workbook(file_contents=xlbin)
+
+#the .nsheets method tells us how many sheets 'book' has
+print "nsheets result: ", book.nsheets
+#we can use that number to initialise a new variable
+sheetstotal = book.nsheets
+#and then use that variable to create the end value in a range of numbers, called 'sheetsrange'
+sheetsrange = range(0,sheetstotal)
+#both lines could of course have been combined into one like this:
+#sheetsrange = range(0,book.nsheets)
+
+#print "sheetsrange:" followed by that range of numbers:
+print "sheetsrange:", sheetsrange
+
+#create a new variable, 'id', set at 0. We'll add one to this every time a loop runs, so we have a unique id for every row of data
+id = 0
+#now to loop through the 'sheetsrange' variable (a list) and put each item in 'sheetnum'
+for sheetnum in sheetsrange:
+    print "scraping sheet ", sheetnum
+    #use the sheet_by_index method to open the first (0) sheet in variable 'book' - and put it into new variable 'sheet'
+    sheet = book.sheet_by_index(sheetnum)
+    #use the row_values method and index (1) to grab the second row of 'sheet'
+
+    #and put all cells into the list variable 'title'
+    title = sheet.row_values(1)
+
+    #print the string "Title:", followed by the third [2] item (column) in the variable 'title' 
+    print "Title:", title[2]
+    sheettitle = str(title[2])
+    print "sheet.name", sheet.name
+    sheetname = sheet.name
+    #put cells from the 15th row into 'keys' variable 
+    keys = sheet.row_values(14)
+    #create an empty dictionary variable, 'record'
+    record = {}
+    #loop through a range - from the 16th item (15) to a number generated by using the .nrows method on 'sheet' (to find number of rows in that sheet)
+    #put each row number in 'rownumber' as you loop
+    for rownumber in range(15, sheet.nrows):
+        print rownumber
+        Name = "no entry"
+        record['SHA'] = sheet.row_values(rownumber)[1]
+        record['Code'] = sheet.row_values(rownumber)[2]
+        record['Name'] = sheet.row_values(rownumber)[3]
+        record['date1'] = str(sheet.row_values(rownumber)[4])
+        record['date2'] = str(sheet.row_values(rownumber)[5])
+        record['date3'] = str(sheet.row_values(rownumber)[6])
+        record['title'] = title[2]
+        id = id+1
+        record['id'] = id
+        print "---", record
+        if sheet.row_values(rownumber)[3] != '':
+            scraperwiki.sqlite.save(["id"], record, table_name=sheetnum)
+        #some cells don't have a number, but a dash
+        #they generate the error: (exceptions.ValueError) could not convert string to float
+        else:
+            print "EMPTY ROW?"
+        try:
+            scraperwiki.sqlite.save(["id"], record, table_name=sheetnum)
+        except:
+            print "BLANK ROW?"