如何在python中使用dbf-module忽略已删除的记录？

Question

I'm using dbf-module by Ethan Furman version 0.96.005 (latest one) in Python 2.7 using old-fashioned FoxPro2.x-tables. Since I want to ignore deleted records, I set tbl.use_deleted = False after assigning tbl = dbf.Table(dbf_path) . I tried to set this before and after opening the table doing with tbl.open('read-only') as tbl: ... , but neither this nor that seems to have any effect.

On record-level I tried:

for rec in tbl:
    if not rec.has_been_deleted and ...

but that gave me:

FieldMissingError: 'has_been_deleted:  no such field in table'

Am I doing s.th. wrong? Or is that feature not available any more (as it was 5 years ago - see Visual Fox Pro and Python )?

Answer 1

use_deleted and has_been_deleted no longer exist, and have been replaced with the function is_deleted .

So your choices at this point are (assuming a from dbf import is_deleted ):

# check each record
for rec in tbl:
    if is_deleted(rec):
        continue

or

# create active/inactive indices

def active(rec):
    if is_deleted(rec):
        return DoNotIndex
    return dbf.recno(rec)

def inactive(rec):
    if is_deleted(rec):
        return recno(rec)
    return DoNotIndex

active_records = tbl.create_index(active)

deleted_records = tbl.create_index(inactive)

and then iterate through those:

# check active records
for rec in active_records:
    ...