Storing a List into Python Sqlite3
I am trying to scrape form field IDs using Beautiful Soup like this
for link in BeautifulSoup(content, parseOnlyThese=SoupStrainer('input')):
if link.has_key('id'):
print link['id']
Lets us assume that it returns something like
username
email
password
passwordagain
terms
button_register
I would like to write this into Sqlite3 DB.
What I will be doing down the line in my application is... Use these form fields' IDs and try to do a POST may be. The problem is.. there are plenty of sites like this whose form field IDs I have scraped. So the relation is like this...
Doma开发者_StackOverflow社区in1 - First list of Form Fields for this Domain1
Domain2 - Second list of Form Fields for this Domain2
.. and so on
What I am unsure here is... How should I design my column for this kind of purpose? Will it be OK if I just create a table with two columns - say
COL 1 - Domain URL (as TEXT)
COL 2 - List of Form Field IDs (as TEXT)
One thing to be remembered is... Down the line in my application I will need to do something like this...
Pseudocode
If Domain is "http://somedomain.com":
For ever item in the COL2 (which is a list of form field ids):
Assign some set of values to each of the form fields & then make a POST request
Can any one guide, please?
EDITed on 22/07/2011 - Is My Below Database Design Correct?
I have decided to have a solution like this. What do you guys think?
I will be having three tables like below
Table 1
Key Column (Auto Generated Integer) - Primary Key
Domain as TEXT
Sample Data would be something like:
1 http://url1.com
2 http://url2.com
3 http://url3.com
Table 2
Domain (Here I will be using the Key Number from Table 1)
RegLink - This will have the registeration link (as TEXT)
Form Fields (as Text)
Sample Data would be something like:
1 http://url1.com/register field1
1 http://url1.com/register field2
1 http://url1.com/register field3
2 http://url2.com/register field1
2 http://url2.com/register field2
2 http://url2.com/register field3
3 http://url3.com/register field1
3 http://url3.com/register field2
3 http://url3.com/register field3
Table 3
Domain (Here I will be using the Key Number from Table 1)
Status (as TEXT)
User (as TEXT)
Pass (as TEXT)
Sample Data would be something like:
1 Pass user1 pass1
2 Fail user2 pass2
3 Pass user3 pass3
Do you think this table design is good? Or are there any improvements that can be made?
There is a normalization problem in your table.
Using 2 tables with
TABLE domains
int id primary key
text name
TABLE field_ids
int id primary key
int domain_id foreign key ref domains
text value
is a better solution.
Proper database design would suggest you have a table of URLs, and a table of fields, each referenced to a URL record. But depending on what you want to do with them, you could pack lists into a single column. See the docs for how to go about that.
Is sqlite a requirement? It might not be the best way to store the data. E.g. if you need random-access lookups by URL, the shelve module might be a better bet. If you just need to record them and iterate over the sites, it might be simpler to store as CSV.
Try this to get the ids:
ids = (link['id'] for link in
BeautifulSoup(content, parseOnlyThese=SoupStrainer('input'))
if link.has_key('id'))
And this should show you how to save them, load them, and do something to each. This uses a single table and just inserts one row for each field for each domain. It's the simplest solution, and perfectly adequate for a relatively small number of rows of data.
from itertools import izip, repeat
import sqlite3
conn = sqlite3.connect(':memory:')
c = conn.cursor()
c.execute('''create table domains
(domain text, linkid text)''')
domain_to_insert = 'domain_name'
ids = ['id1', 'id2']
c.executemany("""insert into domains
values (?, ?)""", izip(repeat(domain_to_insert), ids))
conn.commit()
domain_to_select = 'domain_name'
c.execute("""select * from domains where domain=?""", (domain_to_select,))
# this is just an example
def some_function_of_row(row):
return row[1] + ' value'
fields = dict((row[1], some_function_of_row(row)) for row in c)
print fields
c.close()
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