Пример #1
0
def add_field(rec1, rec2, fnum, findex1, findex2):
    """Adds the field of rec2 into rec1 in a position that depends on the
    diffing of rec1 with rec2.
    @param rec1: First record (a record dictionary structure)
    @param rec2: Second record (a record dictionary structure)
    @param fnum: a 3 characters long string indicating field tag number
    @param findex1: the rec1 field position in the group of fields it belongs
    @param findex2: the rec2 field position in the group of fields it belongs
    """
    field_to_add = rec2[fnum][findex2]
    ### if findex1 indicates an existing field in rec1, insert the field of rec2
    ### before the field of rec1
    if findex1 is not None:
        record_add_fields(rec1, fnum, [field_to_add], findex1)
        return

    ### check if field tag does not exist in record1
    if not record_has_field(rec1, fnum):
        record_add_fields(rec1, fnum, [field_to_add])  #insert at the beginning
        return

    ### if findex1 is None and the fieldtag already exists
    #get diffs for all indicators of the field.
    alldiffs = record_field_diff(rec1[fnum], rec2[fnum], fnum, match_subfields)
    alldiffs = alldiffs[
        1]  #keep only the list of diffs by indicators (without the 'c')
    diff = _combine_diffs(alldiffs)  #combine results in one list

    #find the position of the field after which the insertion should take place
    findex1 = -1
    for m in diff:
        if m[1] == findex2:
            break
        if m[0] is not None:
            findex1 = m[0]
    #finally add the field (one position after)
    record_add_fields(rec1, fnum, [field_to_add], findex1 + 1)
Пример #2
0
def add_field(rec1, rec2, fnum, findex1, findex2):
    """Adds the field of rec2 into rec1 in a position that depends on the
    diffing of rec1 with rec2.
    @param rec1: First record (a record dictionary structure)
    @param rec2: Second record (a record dictionary structure)
    @param fnum: a 3 characters long string indicating field tag number
    @param findex1: the rec1 field position in the group of fields it belongs
    @param findex2: the rec2 field position in the group of fields it belongs
    """
    field_to_add = rec2[fnum][findex2]
    ### if findex1 indicates an existing field in rec1, insert the field of rec2
    ### before the field of rec1
    if findex1 is not None:
        record_add_fields(rec1, fnum, [field_to_add], findex1)
        return

    ### check if field tag does not exist in record1
    if not record_has_field(rec1, fnum):
        record_add_fields(rec1, fnum, [field_to_add]) #insert at the beginning
        return

    ### if findex1 is None and the fieldtag already exists
    #get diffs for all indicators of the field.
    alldiffs = record_field_diff(rec1[fnum], rec2[fnum], fnum, match_subfields)
    alldiffs = alldiffs[1] #keep only the list of diffs by indicators (without the 'c')
    diff = _combine_diffs(alldiffs) #combine results in one list

    #find the position of the field after which the insertion should take place
    findex1 = -1
    for m in diff:
        if m[1] == findex2:
            break
        if m[0] is not None:
            findex1 = m[0]
    #finally add the field (one position after)
    record_add_fields(rec1, fnum, [field_to_add], findex1+1)
Пример #3
0
def merge_field_group(rec1, rec2, fnum, ind1='', ind2='', merge_conflicting_fields=False):
    """Merges non-conflicting fields from 'rec2' to 'rec1' for a specific tag.
    the second record.
    @param rec1: First record (a record dictionary structure)
    @param rec2: Second record (a record dictionary structure)
    @param fnum: a 3 characters long string indicating field tag number
    @param ind1: a 1 character long string
    @param ind2: a 1 character long string
    @param merge_conflicting_fields: whether to merge conflicting fields or not
    """
    ### Check if merging goes for all indicators and set a boolean
    merging_all_indicators = not ind1 and not ind2

    ### check if there is no field in rec2 to be merged in rec1
    if not record_has_field(rec2, fnum):
        return

    ### get fields of rec2
    if merging_all_indicators:
        fields2 = record_get_field_instances(rec2, fnum, '%', '%')
    else:
        fields2 = record_get_field_instances(rec2, fnum, ind1, ind2)
    if len(fields2)==0:
        return

    ### check if field in rec1 doesn't even exist
    if not record_has_field(rec1, fnum):
        record_add_fields(rec1, fnum, fields2)
        return

    ### compare the fields, get diffs for given indicators
    alldiffs = record_field_diff(rec1[fnum], rec2[fnum], fnum, match_subfields, ind1, ind2)

    ### check if fields are the same
    if alldiffs is None:
        return #nothing to merge

    ### find the diffing for the fields of the given indicators

    alldiffs = alldiffs[1] #keep only the list of diffs by indicators (without the 'c')

    if merging_all_indicators:
        #combine the diffs for each indicator to one list
        diff = _combine_diffs(alldiffs)
    else: #diffing for one indicator
        for diff in alldiffs:  #look for indicator pair in diff result
            if diff[0] == (ind1, ind2):
                break
        else:
            raise Exception, "Indicators not in diff result."
        diff = diff[1] #keep only the list of diffs (without the indicator tuple)

    ### proceed to merging fields in a new field list
    fields1, fields2 = rec1[fnum], rec2[fnum]
    new_fields = []
    if merge_conflicting_fields == False: #merge non-conflicting fields
        for m in diff: #for every match of fields in the diff
            if m[0] is not None: #if rec1 has a field in the diff, keep it
                new_fields.append( deepcopy(fields1[m[0]]) )
            else: #else take the field from rec2
                new_fields.append( deepcopy(fields2[m[1]]) )
    else: #merge all fields
        for m in diff: #for every match of fields in the diff
            if m[1] is not None: #if rec2 has a field, add it
                new_fields.append( deepcopy(fields2[m[1]]) )
                if m[0] is not None and fields1[m[0]][0] != fields2[m[1]][0]:
                    #if the fields are not the same then add the field of rec1
                    new_fields.append( deepcopy(fields1[m[0]]) )
            else:
                new_fields.append( deepcopy(fields1[m[0]]) )

    ### delete existing fields
    record_delete_field(rec1, fnum, ind1, ind2)
    ## find where the new_fields should be inserted in rec1 (insert_index)
    if merging_all_indicators:
        insert_index = 0
    else:
        insert_index = None
        ind_pair = (ind1, ind2)
        first_last_dict = _first_and_last_index_for_each_indicator( rec1.get(fnum, []) )
        #find the indicator pair which is just before the one which will be inserted
        indicators = first_last_dict.keys()
        indicators.sort()
        ind_pair_before = None
        for pair in indicators:
            if pair > ind_pair:
                break
            else:
                ind_pair_before = pair
        if ind_pair_before is None: #if no smaller indicator pair exists
            insert_index = 0 #insertion will take place at the beginning
        else:  #else insert after the last field index of the previous indicator pair
            insert_index = first_last_dict[ind_pair_before][1] + 1

    ### add the new (merged) fields in correct 'in_field_index' position
    record_add_fields(rec1, fnum, new_fields, insert_index)
    return
Пример #4
0
def merge_field_group(rec1,
                      rec2,
                      fnum,
                      ind1='',
                      ind2='',
                      merge_conflicting_fields=False):
    """Merges non-conflicting fields from 'rec2' to 'rec1' for a specific tag.
    the second record.
    @param rec1: First record (a record dictionary structure)
    @param rec2: Second record (a record dictionary structure)
    @param fnum: a 3 characters long string indicating field tag number
    @param ind1: a 1 character long string
    @param ind2: a 1 character long string
    @param merge_conflicting_fields: whether to merge conflicting fields or not
    """
    ### Check if merging goes for all indicators and set a boolean
    merging_all_indicators = not ind1 and not ind2

    ### check if there is no field in rec2 to be merged in rec1
    if not record_has_field(rec2, fnum):
        return

    ### get fields of rec2
    if merging_all_indicators:
        fields2 = record_get_field_instances(rec2, fnum, '%', '%')
    else:
        fields2 = record_get_field_instances(rec2, fnum, ind1, ind2)
    if len(fields2) == 0:
        return

    ### check if field in rec1 doesn't even exist
    if not record_has_field(rec1, fnum):
        record_add_fields(rec1, fnum, fields2)
        return

    ### compare the fields, get diffs for given indicators
    alldiffs = record_field_diff(rec1[fnum], rec2[fnum], fnum, match_subfields,
                                 ind1, ind2)

    ### check if fields are the same
    if alldiffs is None:
        return  #nothing to merge

    ### find the diffing for the fields of the given indicators

    alldiffs = alldiffs[
        1]  #keep only the list of diffs by indicators (without the 'c')

    if merging_all_indicators:
        #combine the diffs for each indicator to one list
        diff = _combine_diffs(alldiffs)
    else:  #diffing for one indicator
        for diff in alldiffs:  #look for indicator pair in diff result
            if diff[0] == (ind1, ind2):
                break
        else:
            raise Exception, "Indicators not in diff result."
        diff = diff[
            1]  #keep only the list of diffs (without the indicator tuple)

    ### proceed to merging fields in a new field list
    fields1, fields2 = rec1[fnum], rec2[fnum]
    new_fields = []
    if merge_conflicting_fields == False:  #merge non-conflicting fields
        for m in diff:  #for every match of fields in the diff
            if m[0] is not None:  #if rec1 has a field in the diff, keep it
                new_fields.append(deepcopy(fields1[m[0]]))
            else:  #else take the field from rec2
                new_fields.append(deepcopy(fields2[m[1]]))
    else:  #merge all fields
        for m in diff:  #for every match of fields in the diff
            if m[1] is not None:  #if rec2 has a field, add it
                new_fields.append(deepcopy(fields2[m[1]]))
                if m[0] is not None and fields1[m[0]][0] != fields2[m[1]][0]:
                    #if the fields are not the same then add the field of rec1
                    new_fields.append(deepcopy(fields1[m[0]]))
            else:
                new_fields.append(deepcopy(fields1[m[0]]))

    ### delete existing fields
    record_delete_field(rec1, fnum, ind1, ind2)
    ## find where the new_fields should be inserted in rec1 (insert_index)
    if merging_all_indicators:
        insert_index = 0
    else:
        insert_index = None
        ind_pair = (ind1, ind2)
        first_last_dict = _first_and_last_index_for_each_indicator(
            rec1.get(fnum, []))
        #find the indicator pair which is just before the one which will be inserted
        indicators = first_last_dict.keys()
        indicators.sort()
        ind_pair_before = None
        for pair in indicators:
            if pair > ind_pair:
                break
            else:
                ind_pair_before = pair
        if ind_pair_before is None:  #if no smaller indicator pair exists
            insert_index = 0  #insertion will take place at the beginning
        else:  #else insert after the last field index of the previous indicator pair
            insert_index = first_last_dict[ind_pair_before][1] + 1

    ### add the new (merged) fields in correct 'in_field_index' position
    record_add_fields(rec1, fnum, new_fields, insert_index)
    return