Python DB.query方法代码示例

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def get_metadata_token_count(environ,start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'),("Access-Control-Allow-Origin","*")]
    start_response(status,headers)
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    results = ''
    frequencies = json.loads(environ['wsgi.input'].read())
    word_counts = []
    c = db.dbh.cursor()
    count = 0
    for label, m in frequencies.iteritems():
        args = []
        query_metadata = {}
        for metadata in m['metadata']:
            query_metadata[metadata] = m['metadata'][metadata].encode('utf-8')
        hits = db.query(**query_metadata)
        total_count = 0
        for hit in hits:
            total_count += int(hit['word_count'])
        try:
            frequencies[label]['count'] = round(float(m['count']) / total_count * 1000000, 3)
        except:
            count += 1
            frequencies[label]['count'] = 0    
        
    yield json.dumps(frequencies)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def lookup_word_service(environ, start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'), ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = WebConfig(os.path.abspath(os.path.dirname(__file__)).replace('scripts', ''))
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(environ, config)
    cursor = db.dbh.cursor()

    if request.report == "concordance":
        hits = db.query(request["q"], request["method"], request["arg"], **request.metadata)
        context_size = config['concordance_length'] * 3
        hit = hits[int(request.position)]
        bytes = hit.bytes
        hit_span = hit.bytes[-1] - hit.bytes[0]
        length = context_size + hit_span + context_size
        bytes, start_byte = adjust_bytes(bytes, length)
        end_byte = start_byte + length
        filename = hit.filename
        token = request.selected
    elif request.report == "navigation":

        token = request.selected
        philo_id = request.philo_id.split(" ")
        text_obj = db[philo_id]
        start_byte, end_byte = int(text_obj.start_byte), int(text_obj.end_byte)
        filename = text_obj.filename
#        print >> sys.stderr, "WORD LOOKUP FROM NAVIGATION", request.philo_id,request.selected, start_byte, end_byte, filename
    else:
        pass
#    print >> sys.stderr, "TOKEN", token, "BYTES: ", start_byte, end_byte, "FILENAME: ", filename, "POSITION", request.position
    token_n = 0
    yield lookup_word(db, cursor, token, token_n, start_byte, end_byte, filename)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def term_group(environ, start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'),
               ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = WebConfig(os.path.abspath(os.path.dirname(__file__)).replace('scripts', ''))
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(environ, config)
    if not request["q"]:
        dump = json.dumps({"original_query": "", "term_groups": []})
    else:
        hits = db.query(request["q"], request["method"], request["arg"], sort_order=request["sort_order"], **request.metadata)
        parsed = parse_query(request.q)
        group = group_terms(parsed)
        all_groups = split_terms(group)
        term_groups = []
        for g in all_groups:
            term_group = ''
            not_started = False
            for kind, term in g:
                if kind == 'NOT':
                    if not_started is False:
                        not_started = True
                        term_group += ' NOT '
                elif kind == 'OR':
                    term_group += '|'
                elif kind == "TERM":
                    term_group += ' %s ' % term
                elif kind == "QUOTE":
                    term_group += ' %s ' % term
            term_group = term_group.strip()
            term_groups.append(term_group)
        dump = json.dumps({"term_groups": term_groups, "original_query": request.original_q})
    yield dump.encode('utf8')

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def get_frequency(environ,start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'),("Access-Control-Allow-Origin","*")]
    start_response(status,headers)
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    if request.q == '' and request.no_q:
        if request.no_metadata:
            hits = db.get_all(db.locals['default_object_level'])
        else:
            hits = db.query(**request.metadata)
    else:
        hits = db.query(request["q"],request["method"],request["arg"],**request.metadata)
    results = r.generate_frequency(hits, request, db, config)
    yield json.dumps(results)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def lookup_word_service(environ, start_response):
    status = "200 OK"
    headers = [("Content-type", "application/json; charset=UTF-8"), ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = f.WebConfig()
    db = DB(config.db_path + "/data/")
    request = WSGIHandler(db, environ)
    cursor = db.dbh.cursor()

    if request.report == "concordance":
        hits = db.query(request["q"], request["method"], request["arg"], **request.metadata)
        context_size = config["concordance_length"] * 3
        hit = hits[int(request.position)]
        bytes = hit.bytes
        hit_span = hit.bytes[-1] - hit.bytes[0]
        length = context_size + hit_span + context_size
        bytes, byte_start = adjust_bytes(bytes, length)
        byte_end = byte_start + length
        filename = hit.filename
        token = request.selected
    elif request.report == "navigation":

        token = request.selected
        philo_id = request.philo_id.split(" ")
        text_obj = db[philo_id]
        byte_start, byte_end = int(text_obj.byte_start), int(text_obj.byte_end)
        filename = text_obj.filename
    #        print >> sys.stderr, "WORD LOOKUP FROM NAVIGATION", request.philo_id,request.selected, byte_start, byte_end, filename
    else:
        pass
    #    print >> sys.stderr, "TOKEN", token, "BYTES: ", byte_start, byte_end, "FILENAME: ", filename, "POSITION", request.position
    token_n = 0
    yield lookup_word(db, cursor, token, token_n, byte_start, byte_end, filename)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def term_group(environ, start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'),
               ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    hits = db.query(request["q"], request["method"], request["arg"],
                    **request.metadata)
    parsed = parse_query(request.q)
    group = group_terms(parsed)
    all_groups = split_terms(group)
    term_groups = []
    for g in all_groups:
        term_group = ''
        not_started = False
        for kind, term in g:
            if kind == 'NOT':
                if not_started == False:
                    not_started = True
                    term_group += ' NOT '
            elif kind == 'OR':
                term_group += '|'
            elif kind == "TERM":
                term_group += ' %s ' % term
            elif kind == "QUOTE":
                term_group += ' %s ' % term
        term_group = term_group.strip()
        term_groups.append(term_group)
    yield json.dumps(term_groups)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def bibliography_results(request, config):
    """Fetch bibliography results"""
    db = DB(config.db_path + '/data/')
    if request.no_metadata:
        hits = db.get_all(db.locals['default_object_level'], request["sort_order"])
    else:
        hits = db.query(sort_order=request["sort_order"], **request.metadata)
    if request.simple_bibliography == "all": # request from simple landing page report which gets all biblio in load order
        hits.finish()
        start = 1
        end = len(hits)
        page_num = end
    else:
        start, end, page_num = page_interval(request.results_per_page, hits, request.start, request.end)
    bibliography_object = {
        "description": {
            "start": start,
            "end": end,
            "n": page_num,
            "results_per_page": request.results_per_page
        },
        "query": dict([i for i in request]),
        "default_object": db.locals['default_object_level']
    }
    results = []
    result_type = "doc"
    for hit in hits[start - 1:end]:
        citation_hrefs = citation_links(db, config, hit)
        metadata_fields = {}
        for metadata in db.locals['metadata_fields']:
            metadata_fields[metadata] = hit[metadata]
        result_type = hit.object_type
        if request.simple_bibliography == "all":
            citation = citations(hit, citation_hrefs, config, report="simple_landing")
        else:
            citation = citations(hit, citation_hrefs, config, report="bibliography", result_type=result_type)
        if config.dictionary_bibliography is False or result_type == "doc":
            results.append({
                'citation': citation,
                'citation_links': citation_hrefs,
                'philo_id': hit.philo_id,
                "metadata_fields": metadata_fields,
                "object_type": result_type
            })
        else:
            context = get_text_obj(hit, config, request, db.locals["token_regex"], images=False)
            results.append({
                'citation': citation,
                'citation_links': citation_hrefs,
                'philo_id': hit.philo_id,
                "metadata_fields": metadata_fields,
                "context": context,
                "object_type": result_type
            })
    bibliography_object["results"] = results
    bibliography_object['results_length'] = len(hits)
    bibliography_object['query_done'] = hits.done
    bibliography_object['result_type'] = result_type
    return bibliography_object, hits

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def get_frequency(environ,start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'),("Access-Control-Allow-Origin","*")]
    start_response(status,headers)
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    hits = db.query(request["q"],request["method"],request["arg"],**request.metadata)
    field, word_frequency_object = generate_word_frequency(hits,request,db,config)
    yield json.dumps(word_frequency_object, indent=2)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def word_property_filter(environ,start_response):
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    headers = [('Content-type', 'application/json; charset=UTF-8'),("Access-Control-Allow-Origin","*")]
    start_response('200 OK',headers)
    
    hits = db.query(request["q"],request["method"],request["arg"],**request.metadata)
    filter_results = filter_words_by_property(hits, config.db_path, request, db, config)
    yield json.dumps(filter_results)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def collocation(environ,start_response):
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    headers = [('Content-type', 'application/json; charset=UTF-8'),("Access-Control-Allow-Origin","*")]
    start_response('200 OK',headers)
    hits = db.query(request["q"],"cooc",request["arg"],**request.metadata)
    hits.finish()
    collocation_object = fetch_collocation(hits, request, db, config)
    yield json.dumps(collocation_object)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def term_list(environ, start_response):
    status = "200 OK"
    headers = [("Content-type", "application/json; charset=UTF-8"), ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = f.WebConfig()
    db = DB(config.db_path + "/data/")
    q = WSGIHandler(db, environ)
    hits = db.query(q["q"], q["method"], q["arg"], **q.metadata)
    expanded_terms = get_expanded_query(hits)
    yield json.dumps(expanded_terms[0])

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def get_more_context(environ, start_response):
    status = "200 OK"
    headers = [("Content-type", "application/json; charset=UTF-8"), ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = f.WebConfig()
    db = DB(config.db_path + "/data/")
    request = WSGIHandler(db, environ)
    hit_num = int(request.hit_num)
    hits = db.query(request["q"], request["method"], request["arg"], **request.metadata)
    context_size = config["concordance_length"] * 3
    hit_context = r.fetch_concordance(db, hits[hit_num], config.db_path, context_size)
    yield json.dumps(hit_context)

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def generate_word_frequency(request, config):
    """reads through a hitlist. looks up request["field"] in each hit, and builds up a list of
       unique values and their frequencies."""
    db = DB(config.db_path + '/data/')
    hits = db.query(request["q"], request["method"], request["arg"], **request.metadata)
    field = request["field"]
    counts = {}
    frequency_object = {}
    more_results = True
    start_time = timeit.default_timer()
    last_hit_done = request.start
    try:
        for n in hits[request.start:]:
            key = get_word_attrib(n, field, db)
            if not key:
                # NULL is a magic value for queries, don't change it
                # recklessly.
                key = "NULL"
            if key not in counts:
                counts[key] = 0
            counts[key] += 1
            elapsed = timeit.default_timer() - start_time
            last_hit_done += 1
            if elapsed > 5:
                break

        table = {}
        for k, v in counts.iteritems():
            url = make_absolute_query_link(config,
                                           request,
                                           start="0",
                                           end="0",
                                           report="word_property_filter",
                                           word_property=field,
                                           word_property_value=k)
            table[k] = {'count': v, 'url': url}

        frequency_object['results'] = table
        frequency_object["hits_done"] = last_hit_done
        if last_hit_done == len(hits):
            frequency_object['more_results'] = False
        else:
            frequency_object['more_results'] = True

    except IndexError:
        frequency_object['results'] = {}
        frequency_object['more_results'] = False

    frequency_object['results_length'] = len(hits)
    frequency_object['query'] = dict([i for i in request])

    return frequency_object

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def term_list(environ, start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'),
               ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    hits = db.query(request["q"], request["method"], request["arg"],
                    **request.metadata)
    hits.finish()
    expanded_terms = get_expanded_query(hits)
    yield json.dumps(expanded_terms[0])

# 需要导入模块: from philologic.DB import DB [as 别名]
# 或者: from philologic.DB.DB import query [as 别名]
def get_frequency(environ, start_response):
    status = '200 OK'
    headers = [('Content-type', 'application/json; charset=UTF-8'),
               ("Access-Control-Allow-Origin", "*")]
    start_response(status, headers)
    config = f.WebConfig()
    db = DB(config.db_path + '/data/')
    request = WSGIHandler(db, environ)
    setattr(request, 'frequency_field', json.dumps(
        eval('"%s"' % request.frequency_field)))
    if request.q == '' and request.no_q:
        if request.no_metadata:
            hits = db.get_all(db.locals['default_object_level'])
        else:
            hits = db.query(**request.metadata)
    else:
        hits = db.query(request["q"], request["method"], request["arg"],
                        **request.metadata)
    hits.finish()
    results = r.generate_frequency(hits, request, db, config)
    results['results'] = sorted(results['results'].iteritems(),
                                key=lambda x: x[1]['count'],
                                reverse=True)
    yield json.dumps(results)