Python tangelo.content_type函数代码示例

def get_graph_for_entity(*args, **kwargs):
    tangelo.content_type("application/json")
    tangelo.log("entity.get_graph_for_entity(args: %s kwargs: %s)" % (str(args), str(kwargs)))

    data_set_id, start_datetime, end_datetime, size = parseParamDatetime(**kwargs)
    email_address_list = parseParamEmailAddress(**kwargs);
    entity_dict = parseParamEntity(**kwargs)
    # TODO set from UI
    size = size if size >500 else 2500

    qs = parseParamTextQuery(**kwargs)

    query = _build_email_query(email_addrs=email_address_list, qs=qs, entity=entity_dict, date_bounds=(start_datetime, end_datetime))
    tangelo.log("entity.get_graph_for_entity(query: %s)" % (query))

    results = _query_emails(data_set_id, size, query)
    graph = _build_graph_for_emails(data_set_id, results["hits"], results["total"])

    # Get attachments for community
    query = _build_email_query(email_addrs=email_address_list, qs=qs, entity=entity_dict, date_bounds=(start_datetime, end_datetime), attachments_only=True)
    tangelo.log("entity.get_graph_by_entity(attachment-query: %s)" % (query))
    attachments = _query_email_attachments(data_set_id, size, query)
    graph["attachments"] = attachments

    return graph

def queryEmail(email):
    with newman_connector() as read_cnx:
        with execute_query(read_cnx.conn(), stmt_email_by_id, email) as qry:
            tangelo.log("node-vals: %s" % qry.stmt)
            rtn = qry.cursor().fetchone()
            tangelo.content_type("application/json")
            return rtn if rtn else []

def last_save(*args):
    tangelo.content_type("application/json")    
    saves=list(glob.iglob('{}/*.json'.format(auto_save_dir)))
    if len(saves) > 0:
        f= max(saves, key=os.path.getctime)
        return slurp(f)
    return { 'trainings' : [] }

def getEmail(*args):
    email=urllib.unquote(nth(args, 0, ''))
    if not email:
        return tangelo.HTTPStatusCode(400, "invalid service call - missing id")
    
    tangelo.content_type("application/json")    
    return { "email" : queryEmail(email), "entities": queryEntity(email) }

def searchStarred(*args, **kwargs):
    tangelo.log("email.searchStarred(args: %s kwargs: %s)" % (str(args), str(kwargs)))
    tangelo.content_type("application/json")

    data_set_id, start_datetime, end_datetime, size = parseParamDatetime(**kwargs)

    size = size if size >500 else 2500

    # TODO set from UI
    query_terms=''
    email_address_list = []

    query = _build_email_query(email_addrs=email_address_list, qs=query_terms, date_bounds=(start_datetime, end_datetime), starred=True)
    tangelo.log("email.searchStarred(query: %s)" % (query))

    results = _query_emails(data_set_id, size, query)
    graph = _build_graph_for_emails(data_set_id, results["hits"], results["total"])

    # Get attachments for community
    query = _build_email_query(email_addrs=email_address_list, qs=query_terms, date_bounds=(start_datetime, end_datetime), attachments_only=True, starred=True)
    tangelo.log("email.searchStarred(attachment-query: %s)" % (query))
    attachments = _query_email_attachments(data_set_id, size, query)
    graph["attachments"] = attachments

    return graph

def auto_save(*args, **kwargs):
    cherrypy.log("saved")
    f= "session_{}.json".format(datetime.datetime.now().strftime('%Y%m%d%H%M%S'))
    spit("{}/{}".format(auto_save_dir, f), json.dumps(kwargs))
    remove_old_files()    
    tangelo.content_type("application/json")
    return { 'saved': f }

def getAttachFileType(*args, **kwargs):
    tangelo.content_type("application/json")
    tangelo.log("getAttachFileType(args: %s kwargs: %s)" % (str(args), str(kwargs)))
    data_set_id, start_datetime, end_datetime, size = parseParamDatetime(**kwargs)
    
    top_count = int(size)
        
    attach_type = urllib.unquote(nth(args, 0, ''))
    if not attach_type:
        attach_type = 'all' #hack for now


    email_address_list = parseParamEmailAddress(**kwargs);


    if not email_address_list :
        file_types = get_top_attachment_types(data_set_id, date_bounds=(start_datetime, end_datetime), num_top_attachments=top_count)[:top_count]
    else :
        #TODO: implement populating the attachment file-types under individual email-accounts; simulate result for now
        file_types = get_top_attachment_types(data_set_id, date_bounds=(start_datetime, end_datetime), num_top_attachments=top_count)[:top_count]

    result = {
              "account_id" : data_set_id,
              "data_set_id" : data_set_id,
              "account_start_datetime" : start_datetime,
              "account_end_datetime" : end_datetime,
              "types" : file_types
             }
        
    return result

def getRankedAddresses(*args, **kwargs):
    tangelo.content_type("application/json")
    tangelo.log("getRankedAddresses(args: %s kwargs: %s)" % (str(args), str(kwargs)))
    data_set_id, start_datetime, end_datetime, size = parseParamDatetime(**kwargs)
    # TODO - reminder no 'qs' here set to ''
    # qs = parseParamTextQuery(**kwargs)
    qs=''

    # TODO this needs to come from UI
    size = size if size >500 else 2500

    ranked_addresses = get_ranked_email_address_from_email_addrs_index(data_set_id, start_datetime, end_datetime, size)
    top_address_list = []
    for i, email_address in enumerate(ranked_addresses["emails"]):
        graph = es_get_all_email_by_address(data_set_id, email_address[0], qs, start_datetime, end_datetime, size )

        top_address_list.append({
            "address_search_url_path" : email_address[0],
            "parameters" : kwargs,
            "search_results" : {
                "mail_sent_count" : email_address[6],
                "mail_received_count" : email_address[5],
                "mail_attachment_count" : email_address[7],
                "query_matched_count" : graph["query_hits"],
                "associated_count" : len(graph["graph"]["nodes"])
            },
            "TEMPORARY_GRAPH" : graph
        })


    return {"top_address_list" : top_address_list}

def stream_next(key):
    if key not in streams:
        tangelo.http_status(404, "No Such Key")
        return {"error": "Stream key does not correspond to an active stream",
                "stream": key}
    else:
        # Grab the stream in preparation for running it.
        stream = streams[key]

        # Attempt to run the stream via its next() method - if this
        # yields a result, then continue; if the next() method raises
        # StopIteration, then there are no more results to retrieve; if
        # any other exception is raised, this is treated as an error.
        try:
            return stream.next()
        except StopIteration:
            del streams[key]

            tangelo.http_status(204, "Stream Finished")
            return "OK"
        except:
            del streams[key]

            tangelo.http_status(500, "Streaming Service Exception")
            tangelo.content_type("application/json")

            error_code = tangelo.util.generate_error_code()

            tangelo.util.log_traceback("STREAM", error_code, "Offending stream key: %s" % (key), "Uncaught executing executing service %s" % (tangelo.request_path))
            return tangelo.util.error_report(error_code)

def export_emails_archive(data_set_id, email_ids=["f9c9c59a-7fe8-11e5-bb05-08002705cb99"]):
    cherrypy.log("email.get_attachments_sender(index=%s, attachment_id=%s)" % (data_set_id, email_ids))
    if not data_set_id:
        return tangelo.HTTPStatusCode(400, "invalid service call - missing index")
    # if not email:
    #     return tangelo.HTTPStatusCode(400, "invalid service call - missing attachment_id")

    # elasticsearch.exceptions.ConnectionTimeout: ConnectionTimeout caused by - ReadTimeoutError(HTTPConnectionPool(host='10.1.70.143', port=9200): Read timed out. (read timeout=10))
    es = Elasticsearch([{"host" : "10.1.70.143", "port" : 9200}], request_timeout=60)
    # TODO can implement with multiple doc_types and combine attachments in
    emails = es.mget(index=data_set_id, doc_type="emails", body={"docs":[{"_id":id} for id in email_ids]})


    # TODO filename
    filename= "export.tar.gz"
    tangelo.content_type("application/x-gzip")
    header("Content-Disposition", 'attachment; filename="{}"'.format(filename))

    string_buffer = cStringIO.StringIO()
    tar = tarfile.open(mode='w:gz', fileobj=string_buffer)

    # Add each email to the tar
    for email_source in emails["docs"]:

        email = email_source["_source"]

        tarinfo_parent= tarfile.TarInfo(name = email["id"])
        tarinfo_parent.type = tarfile.DIRTYPE
        tarinfo_parent.mode = 0755
        tarinfo_parent.mtime = time.time()
        tar.addfile(tarinfo_parent)

        tarinfo = tarfile.TarInfo(email["id"]+"/"+email["id"]+".json")
        # TODO -- email transformation
        data_string = json.dumps(email)
        fobj = cStringIO.StringIO(data_string)

        tarinfo.size = len(data_string)
        tarinfo.mode = 0644
        tarinfo.mtime = time.time()
        tar.addfile(tarinfo, fobj)

        # Get the attachments
        if email["attachments"]:
            attachments = es.mget(index=data_set_id, doc_type="attachments", body={"docs":[{"_id":attch["guid"]} for attch in email["attachments"]]})
            for attachment_source in attachments["docs"]:
                attachment = attachment_source["_source"]
                filename = attachment["filename"]
                attch_data = str(base64.b64decode(attachment["contents64"]))

                tarinfo_attch = tarfile.TarInfo(email["id"]+"/"+filename)
                tarinfo_attch.size = len(attch_data)
                tarinfo_attch.mode = 0644
                tarinfo_attch.mtime = time.time()
                tar.addfile(tarinfo_attch, cStringIO.StringIO(attch_data))
    tar.close()

    return string_buffer.getvalue()

def setSelectedDataSet(*args):
    tangelo.content_type("application/json")
    data_set_id=urllib.unquote(nth(args, 0, ''))
    if not data_set_id:
        return tangelo.HTTPStatusCode(400, "invalid service call - missing data_set_id")

    resp = initialize_email_addr_cache(data_set_id)
    _current_data_set_selected = data_set_id
    return _index_record(data_set_id)

def getExportable(*args):
    stmt = (
        " SELECT id, subject FROM email WHERE exportable='true' "
    )
    tangelo.content_type("application/json")        
    with newman_connector() as read_cnx:
        with execute_query(read_cnx.conn(), stmt) as qry:
            rtn = [[str(val) for val in row] for row in qry.cursor()]
            return { "emails" : rtn }

def getDomains(*args):
    stmt = (
        "SELECT SUBSTRING_INDEX(email_addr, '@', -1) as eml, count(1) from email_addr group by eml"
    )
    tangelo.content_type("application/json")        
    with newman_connector() as read_cnx:
        with execute_query(read_cnx.conn(), stmt) as qry:
            rtn = [[str(val) for val in row] for row in qry.cursor()]
            return { "domains" : rtn }

def getCommunities(*args, **kwargs):
    tangelo.log("getCommunities(args: %s kwargs: %s)" % (str(args), str(kwargs)))
    tangelo.content_type("application/json")
    data_set_id, start_datetime, end_datetime, size = parseParamDatetime(**kwargs)

    #top_count = int(urllib.unquote(nth(args, 0, "40")))
    top_count = int(size);

    return {"communities" : get_top_communities(data_set_id, date_bounds=(start_datetime, end_datetime), num_communities=top_count)[:top_count]}

def getRollup(*args):
    entity = urllib.unquote(nth(args, 0, ""))
    if not entity:
        return tangelo.HTTPStatusCode(400, "invalid service call - missing id")

    with newman_connector() as read_cnx:
        with execute_query(read_cnx.conn(), stmt_entity_rollup_id, entity) as qry:
            rtn = qry.cursor().fetchone()
            tangelo.content_type("application/json")
            return {"rollupId": rtn}