Пример #1
0
def new_application(app_name, fields, s3_bucket):
    ok, message = fields_check(fields)
    if not ok:
        raise ArgsCheckError(message, "")
    try:
        # check application exist
        if MongoIns.search_by_name(APPLICATION_COLLECTION_NAME, app_name):
            raise ExistError(f"application <{app_name}> had exist", "")
    except ExistError:
        raise
    try:
        for _, value in fields.items():
            if value.get("type") == "pipeline":
                pipe = MongoIns.search_by_name(PIPELINE_COLLECTION_NAME,
                                               value.get("value"))[0]
                ei = identity(
                    pipe.get("encoder").get("instance").get("endpoint"))
                name = f"{app_name}_{pipe.get('encoder').get('instance').get('name').replace('phantoscope_', '')}"
                MilvusIns.new_milvus_collection(name, int(ei["dimension"]),
                                                1024, "l2")
        # create a application entity collection
        MongoIns.new_mongo_collection(f"{app_name}_entity")
        S3Ins.new_s3_buckets(s3_bucket)
        # create milvus collections
        app = Application(name=app_name, fields=fields, bucket=s3_bucket)
        app.metadata = app._metadata()
        MongoIns.insert_documents(APPLICATION_COLLECTION_NAME, app.to_dict())
        return app
    except Exception as e:
        logger.error("error happen during create app: %s",
                     str(e),
                     exc_info=True)
        raise e
Пример #2
0
def create_pipeline(name, processors=None, encoder=None, description=None):
    try:
        p = MongoIns.search_by_name(PIPELINE_COLLECTION_NAME, name)
        if p:
            raise ExistError(f"pipeline <{name}> already exists", "")
        pro = []
        encoder_res = {}
        processor_res = {}
        for processor in processors:
            pr = operator_detail(processor["name"])
            processor_res["operator"] = pr.to_dict()
            processor_res["instance"] = pr.inspect_instance(
                processor["instance"])
            pro.append(processor_res)
        encoder_info = operator_detail(encoder["name"])
        encoder_res["operator"] = encoder_info.to_dict()
        encoder_res["instance"] = encoder_info.inspect_instance(
            encoder["instance"])
        pipe = Pipeline(name, description, pro, encoder_res)
        pipe.metadata = pipe._metadata()
        if pipeline_illegal(pipe):
            raise PipelineIllegalError("Pipeline illegal check error", "")
        MongoIns.insert_documents(PIPELINE_COLLECTION_NAME, pipe.to_dict())
        return pipe
    except Exception as e:
        logger.error(e, exc_info=True)
        raise e
Пример #3
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def delete_milvus_collections_by_fields(app):
    for _, field in app['fields'].items():
        if field["type"] == "pipeline":
            pipe = MongoIns.search_by_name(PIPELINE_COLLECTION_NAME,
                                           field.get("value"))[0]
            name = f"{app.get('name')}_{pipe.get('encoder').get('instance').get('name').replace('phantoscope_', '')}"
            MilvusIns.del_milvus_collection(name)
Пример #4
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def register_operators(name, addr, author, version, type, description):
    try:
        op = Operator(name, addr, author, version, type, description)
        op.metadata = op._metadata()
        if MongoIns.search_by_name(OPERATOR_COLLECTION_NAME, name):
            raise ExistError(f"operator {name} had exist", "")
        MongoIns.insert_documents(OPERATOR_COLLECTION_NAME, op.to_dict())
        return op.to_dict()
    except Exception as e:
        logger.error(f"Unexpected error happen during register operator, {str(e)}", exc_info=True)
        raise e
Пример #5
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def pipeline_detail(name):
    try:
        p = MongoIns.search_by_name(PIPELINE_COLLECTION_NAME, name)
        if not p:
            raise NotExistError("pipeline %s is not exist" % name, "")
        p = p[0]
        pipe = Pipeline(p["name"], p["description"], p["processors"],
                        p["encoder"], p["input"], p["output"])
        pipe.metadata = p["metadata"]
        return pipe
    except Exception as e:
        raise e
Пример #6
0
def test_pipeline(name, data=None, url=None):
    try:
        pipe = MongoIns.search_by_name(PIPELINE_COLLECTION_NAME, name)
        if not pipe:
            raise NotExistError("pipeline %s is not exist" % name, "")
        pipe = pipe[0]
        p = Pipeline(pipe["name"], pipe["description"], pipe["processors"],
                     pipe["encoder"], pipe["input"], pipe["output"])
        p.metadata = pipe["metadata"]
        return {"result": run_pipeline(p, data=data, url=url)}
    except Exception as e:
        raise e
Пример #7
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def operator_detail(name):
    try:
        op = MongoIns.search_by_name(OPERATOR_COLLECTION_NAME, name)
        if not op:
            raise NotExistError(f"operator {name} not exist", "")
        op = op[0]
        operator = Operator(op["name"], op["addr"], op["author"], op["version"], op["type"], op["description"])
        operator.metadata = op["metadata"]
        return operator
    except Exception as e:
        logger.error(e)
        raise e
Пример #8
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def application_detail(name):
    try:
        app = MongoIns.search_by_name(APPLICATION_COLLECTION_NAME, name)
        if not app:
            raise NotExistError(f"application {name} not exist", "")
        app = app[0]
        application = Application(app["name"], app["fields"], app["bucket"])
        application.metadata = app["metadata"]
        return application
    except Exception as e:
        logger.error(e)
        raise e
Пример #9
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def delete_application(name, force=False):
    try:
        if not force:
            if not entities_list(name, 100, 0):
                raise RequestError(
                    "Prevent to delete application with entity not deleted",
                    "")
        app = MongoIns.search_by_name(APPLICATION_COLLECTION_NAME, name)
        if not app:
            raise NotExistError(f"application {name} not exist", "")
        app = app[0]
        delete_milvus_collections_by_fields(app)
        S3Ins.del_s3_buckets(app['bucket'])
        MongoIns.delete_mongo_collection(f"{name}_entity")
        MongoIns.delete_by_name(APPLICATION_COLLECTION_NAME, name)
        logger.info("delete application %s", name)
        application = Application(app["name"], app["fields"], app["bucket"])
        application.metadata = app["metadata"]
        return application
    except Exception as e:
        logger.error(e)
        raise e