Beispiel #1
0
def getMatches(query):
    username_match_ids = []
    name_match_ids = []
    # This is required since we are not pushing data to trinity until we have a resume
    # TODO: Push Name + Social Details as plain text, even if there is no resume.
    # This is also required for better RELEVANCE
    if not re.match("((^.*[\s]+(and|not)[\s]+.*$)|(^.*?[\(\)]+.*$))", query, re.IGNORECASE):
        keyword_list = re.compile("[,\s]+").split(query)
        username_matches = models.User.objects.filter(
            account__username=keyword_list[0], account__account_state="A"
        ).values("id")
        name_matches = models.User.objects.filter(name__icontains=keyword_list[0], account__account_state="A").values(
            "id"
        )

        username_match_ids = [dict.values()[0] for dict in username_matches]
        name_match_ids = [dict.values()[0] for dict in name_matches]

    # limit name matches to 5
    name_match_ids = name_match_ids[:5]

    # resume-search on TRINITY
    resume_match_ids = []
    query = replaceSpecialKeyWords(query)
    data = trinity_client.getQueryResults(
        "resume_search",
        "filecontents:(" + query + ')<queryParams><sort field="last_access_time" order="DESC" /></queryParams>',
    )
    if data:
        fts_reply = data.split(",")
        resume_match_ids = map(lambda s: string.atoi(s), fts_reply)

    return dataplus.getMergedList(username_match_ids, name_match_ids, resume_match_ids)[:200]
Beispiel #2
0
def getMatches(keywords):
    name_matches = models.Community.objects.filter(name__icontains=keywords).values('id')
    name_match_ids = [dict.values()[0] for dict in name_matches]
    
    desc_match_ids = []
    keyword_list = re.compile("[,\s]+").split(keywords)
    for keyword in keyword_list:
        desc_matches = models.Community.objects.filter(desc__icontains=keyword).values('id')
        desc_match_ids += [dict.values()[0] for dict in desc_matches]
    
    return dataplus.getMergedList(name_match_ids, desc_match_ids)[:200]