[Zope-ZEO] Catalog and SearchIndex (was: ZODB patches)

Kaweh Kazemi kaweh.kazemi@chello.at
Thu, 28 Dec 2000 05:08:10 +0100


This is a multi-part message in MIME format.

------=_NextPart_000_0007_01C0708C.2C4A40D0
Content-Type: text/plain;
	charset="iso-8859-1"
Content-Transfer-Encoding: 7bit

hello,

> >i encountered some minor problems when trying to import the Catalog and
> >SearchIndex subpackages. following changes enabled me to import the
> >packages.
>
> Changes applied to CVS; thanks!  (If you want write access to the CVS
> tree, just let me know.)

thanks. i try to help as much as my time allows, but i don't have CVS access
right now on my machine (i'll gonna set it up).


ok, i did some experimenting with "standalone-Catalog". good news: i got it
working.

i could create various indices and after debugging Catalog.py,
UnTextIndex.py and at last UnIndex.py i was able to do some searching.


1) when i searched for some documentation about Catalog, i came across the
following message from christopher petrilli:

    http://www.egroups.com/message/zope/47377

petrilli announced a patch to Catalog for the upcoming ZOPE 2.3 alpha 2
release (which includes some restructuring of Catalog).

2) i used the patch to update your packages (see attachment).

3) i needed some time to understand, what this beast is really doing and
found some bugs in the Catalog and SearchIndex packages (besides the one i
mentioned yesterday):

    - Catalog/Catalog.py: in the buildWrappedRecord method one line was
missing, which would check if the index argument was a tuple, and would
unpack the tuple (the line was in older versions of Catalog.py up to Zope
2.3.0a1, but seems to got lost while Catalog.py was restructured).

    - Catalog/Catalog.py: in the same method i had to change the result
value, because otherwise my test programm would raise an exception. seems to
be some Aquisiton stuff, but i am not sure, what to do with it.

    - SearchIndex/UnIndex.py: well, there was a typo in line 320, where it
said "if result is None: ...", but it should say "if results is None: ...".
a "result" var isn't even defined, and the reason, why this typo had no
effect, was that a "try: except: pass" block in Catalog.py  was hidding the
error. so much for "defensive programming" ;)

4) anyway, i created new versions of Catalog and SearchIndex based on the
patch from mr. petrilli including my bug fixes. maybe you want to update
your packages, because it seems they work "better" than the old versions.

5) i've also added a small test programm, which shows how to use Catalog (as
far as i could figure it out). it should work out-of-the-box with my patched
packages.


IMHO Catalog should be a package ala SearchIndex, but Catalog is "build
into" ZCatalog, which makes it quite hard to maintain, and even SearchIndex
seems not to be free from dependencies to ZOPE (but which seem to be easy to
break - if the ZOPE team would break them).

i am not sure, where to go from here on. should i contact mr. petrilli? how
will my changes (if they are correct and anyone is interested) incorporated
into the ZOPE basecode?

is the ZOPE team interested in what you/we are doing (trying to create
stand-alone packages, which can be used with "plain-Python" without the rest
of ZOPE)?

i am using ZODB for my projects, and i think its a great database. i really
would like use the other "independent" parts of ZOPE, if possible.

best wishes,
kaweh


------=_NextPart_000_0007_01C0708C.2C4A40D0
Content-Type: application/x-zip-compressed;
	name="CatalogSearchIndexUpdate.zip"
Content-Disposition: attachment;
	filename="CatalogSearchIndexUpdate.zip"
Content-Transfer-Encoding: base64
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------=_NextPart_000_0007_01C0708C.2C4A40D0
Content-Type: text/plain;
	name="storagetest.py"
Content-Disposition: attachment;
	filename="storagetest.py"
Content-Transfer-Encoding: 7bit

from ZODB import FileStorage, DB, POSException
from Persistence import Persistent
from BTree import BTree

class Person(Persistent):
    def __init__(self, name, age, sex):
        self.name = name
        self.age = age
        self.sex = sex

    def __str__(self):
        return self.name + ' ' + str(self.age) + ' ' + self.sex


storage    = FileStorage.FileStorage("test.fs")
db         = DB(storage)
connection = db.open()
root       = connection.root()

root['people'] = BTree()
get_transaction().commit()
people = root['people']

people['p1'] = Person('Person1', 28, 'm')
people['p2'] = Person('Person2', 25, 'f')
people['p3'] = Person('Person3', 29, 'm')
people['p4'] = Person('Person4', 25, 'f')
people['p5'] = Person('Person5', 30, 'm')

get_transaction().commit()

print '---------- database ----------'
print '\t>>>', people['p1']
print '\t>>>', people['p2']
print '\t>>>', people['p3']
print '\t>>>', people['p4']
print '\t>>>', people['p5']

# using catalog

from Catalog import Catalog

cat = Catalog.Catalog()
cat.addColumn('name')
cat.addIndex('name', 'TextIndex')
cat.addColumn('age')
cat.addIndex('age', 'FieldIndex')
cat.addColumn('sex')
cat.addIndex('sex', 'FieldIndex')

cat.catalogObject(people['p1'], 1)
cat.catalogObject(people['p2'], 2)
cat.catalogObject(people['p3'], 3)
cat.catalogObject(people['p4'], 4)
cat.catalogObject(people['p5'], 5)

#cat.sort_on='sex'
#cat.sort_order='reverse'

def do_search(**kw):
    print '---------- searching:', kw, '----------'
    results = cat.searchResults(**kw)
    print '# of results:', len(results)
    for r in results:
        print '\t>>>', r.name, r.sex , r.age 

do_search(age=25, sex='f')
do_search(sex='m')
do_search(name='Person1 or Person2')


------=_NextPart_000_0007_01C0708C.2C4A40D0--