Python Cubes Olap 框架日期切入点答案

【问题标题】：Python Cubes Olap Framework Date PointCutPython Cubes Olap 框架日期切入点
【发布时间】：2014-09-26 11:48:15
【问题描述】：

所以我正在尝试使用 Python Cubes Framework 实现一些 BI，但遇到了一些问题。

基本上我正在尝试做一个“简单的”切入点/切片和骰子，但我没有任何运气。我正在使用带有 PostGis 的 PostgreSQL 数据库。

我的model.json 是：

{
    "dimensions": [
        {"name": "user", "attributes": ["id", "username"]},
        {"name": "resources", "attributes": ["id", "resource_simple_name"]},
        {"name":"created_on", "role": "time"}
    ],
    "cubes": [
        {
            "name": "users_resources_likes",
            "dimensions": ["user", "resources", "created_on"],
            "mappings": {
                "user.id": "auth_user.id",
                "user.username": "auth_user.username",
                "resources.id": "resources.id",
                "resources.resource_simple_name": "resources.resource_simple_name",
                "created_on": "created_on"
            },
            "joins": [
                {
                    "master": "user_id",
                    "detail": "auth_user.id"
                },
                {
                    "master": "resource_id",
                    "detail": "resources.id"
                }
            ]
        }

    ]
}

如果我尝试在切片器上用日期切入

aggregate?drilldown=created_on&cut=created_on:2012

我收到了DataError: (DataError) invalid input syntax for type timestamp with time zone: "2012"

搜索了一段时间后，我读到可能是因为我的 postgresql 数据库有时间戳：

created_on timestamp with time zone NOT NULL DEFAULT '2014-02-10 00:00:00+00'::timestamp with time zone,

所以我尝试这样做：

?drilldown=created_on&cut=created_on:2012-09-15T09:37:59+00:00

我得到一个：

{
error: "unknown_user_error",
message: "Wrong dimension cut string: 'created_on:2012-09-15T09:37:59 00:00'"
}

我做错了什么？是我的model.json 的问题吗？

【问题讨论】：

标签： python postgresql olap olap-cube cubes

【解决方案1】：

我发现向模型中的日期添加更多信息解决了这个问题：

    {
        "name": "created_on",
        "label": "Date Created",
        "role": "time",
        "info": {
            "cv-datefilter": true,
            "cv-datefilter-hierarchy": "weekly"
        },
        "levels": [
               {
                   "name":"year",
                   "label":"Year",
                   "info": { "cv-datefilter-field": "year" }
               },
               {
                   "name":"quarter",
                   "label":"Quarter"
               },
               {
                   "name":"month",
                   "label":"Month"
               },
               {
                   "name":"week",
                   "label":"Week",
                   "info": { "cv-datefilter-field": "week" }
               }
           ],
        "hierarchies": [
            {
                "name": "weekly",
                "label": "Weekly",
                "levels": [ "year", "week"]
            },
            {
                "name": "monthly",
                "label": "Monthly",
                "levels": [ "year", "quarter", "month"]

            }
        ]
    }

和映射：

        "mappings": {
            "created_on.year": {"column":"created_on", "extract":"year"},
            "created_on.month": {"column":"created_on", "extract":"month"},
            "created_on.week": {"column":"created_on", "extract":"week"},
            "created_on.day": {"column":"created_on", "extract":"day"},
            "created_on.quarter": {"column":"created_on", "extract":"quarter"}
        }

【讨论】：