コード例 #1
0
def handle_base_server_error(error,
                             metadata_context: BaseContext = Provide[
                                 ApplicationContainer.context_factory]):
    logging.info("Handling base server error")
    should_handle_events = metadata_context.get_feature_toggle(
        FeatureToggles.event_handlers)
    if should_handle_events is True:
        # Send the on_error signal
        logging.debug("Signalling on-error event handlers")
        SignalFactory.on_error.send(uri=request.endpoint,
                                    type='ERROR',
                                    exception=error.original_exception)

    response = error.get_response()
    response.data = json.dumps({
        "code":
        error.code,
        "name":
        "sDAS Server Failure",
        "description":
        "Unable to complete call to sDAS. Please contact the system administrator."
    })
    response.content_type = "application/json"
    return response
コード例 #2
0
ファイル: acquire.py プロジェクト: bvanfleet/pydas
def acquire(company_symbol,
            metadata_context: BaseContext = Provide[
                ApplicationContainer.context_factory]):
    """
    Provides API function for dataset generation.

    Parameters
    ----------
    company_symbol: str
        Symbol for the company to acquire data for.

    Returns
    -------
    flask.Response:
        HTTP response with dataset as a JSON payload or delimited file.
        This is determined from whether a query parameter is provided
        that specifies a file output formatter.

    Raises
    ------
    sqlalchemy.exc.OperationalError:
        Thrown if there is an issue communicating with the metadata database.
    """
    should_handle_events = metadata_context.get_feature_toggle(
        FeatureToggles.event_handlers)

    if should_handle_events:
        logging.info("Signalling pre-acquisition event handlers")
        SignalFactory.pre_acquisition.send(
            company_symbol=company_symbol,
            start_date=datetime.now().isoformat())

    results = dict()
    api_key = metadata_context.get_configuration('apiKey')
    logging.debug("Creating IEX client with API Key: %s", api_key)
    client = IexClient(api_key)

    try:
        if should_handle_events:
            logging.info("Signalling pre-company event handlers")
            SignalFactory.pre_company.send(
                company_symbol=company_symbol,
                start_date=datetime.now().isoformat())

        with metadata_context.get_session() as session:
            entity = session.query(Entity).filter(
                Entity.identifier == company_symbol).one()

            for feature in entity.features:
                if should_handle_events:
                    logging.info("Signalling pre-feature event handlers")
                    SignalFactory.pre_feature.send(
                        company_symbol=company_symbol,
                        feature_name=feature.name,
                        start_date=datetime.now().isoformat())

                feature_option = session.query(Option).filter(
                    Option.company_symbol == company_symbol,
                    Option.feature_name == feature.name).all()
                option = [json(option) for option in feature_option]
                logging.info('Retrieved mapped options: [%s]', (" ").join(
                    [json(option, True) for option in feature_option]))

                # TODO: Determine if this could/should be moved into source-aware code
                if feature.handler_metadata.name == "tech_indicators_handler" and not option:
                    logging.info(
                        'Adding missing option on technical indicator')
                    option.append({
                        "feature_name": feature.name,
                        "name": "range",
                        "value": "1m"
                    })

                logging.info('Acquiring feature data')
                data = client.get_feature_data(feature, entity, option)
                if isinstance(data, list):
                    results[feature.name] = feature.get_values(data)
                elif isinstance(data, dict):
                    results[feature.name] = [feature.get_value(data)]
                logging.info("Acquired %d rows", len(results[feature.name]))

                if should_handle_events:
                    logging.info("Signalling post-feature event handlers")
                    SignalFactory.post_feature.send(
                        company_symbol=company_symbol,
                        feature_name=feature.name,
                        feature_rows=len(results[feature.name]),
                        end_date=datetime.now().isoformat())

        results = __format_output(results, 'json')
        if should_handle_events:
            logging.info("Signalling post-company event handlers")
            count = reduce(lambda total, iter: total + len(iter),
                           results['values'], 0)
            SignalFactory.post_company.send(
                company_symbol=company_symbol,
                data=results,
                total_rows=count,
                end_date=datetime.now().isoformat())

        if 'format' in request.args:
            try:
                format_result = __format_output(results,
                                                request.args['format'])
            except Exception as exc:
                response = make_response(str(exc), 400)
                return response

            if request.args['format'].lower() == 'file':
                if should_handle_events:
                    logging.info("Signalling post-acquisition event handlers")
                    SignalFactory.post_acquisition.send(
                        company_symbol=company_symbol,
                        end_date=datetime.now().isoformat(),
                        message='Completed data acquisition!',
                        uri=request.path,
                        type='INFO')

                return send_file(format_result,
                                 as_attachment=True,
                                 cache_timeout=0)

        if should_handle_events:
            logging.info("Signalling post-acquisition event handlers")
            SignalFactory.post_acquisition.send(
                company_symbol=company_symbol,
                end_date=datetime.now().isoformat(),
                message='Completed data acquisition!',
                uri=request.path,
                type='INFO')

        return jsonify(results)
    except NoResultFound:
        response = make_response('Cannot find company', 404)
        return response