pydiggy 0.1.0

注意

仅限Python 3.7。对不起的。

示例

# ./examples/__init__from.basicimport*# noqa# ./examples/basic.pyfrom__future__importannotationsfrompydiggyimportNodefromtypingimportListclassRegion(Node):area:intpopulation:intname:strborders:List[Region]

cli

指向现有模块中的CLI实用程序，以生成DGRAPH模式。

$ python3 -m pydiggy generate examples

Generating schema for: examples

Nodes found: (1)
    - Region

Your schema:
~~~~~~~~

Region: bool @index(bool) .
_type: string .
area: int .
borders: uid .
name: string .
population: int .

~~~~~~~~

产生突变

frompydiggyimportgenerate_mutation,Facetspor=Region(uid=0x11,name="Portugal")spa=Region(uid=0x12,name="Spain")gas=Region(uid=0x13,name="Gascony")mar=Region(uid=0x14,name="Marseilles")por.borders=[spa]spa.borders=[por,gas,mar]gas.borders=[Facets(spa,foo='bar',hello='world'),mar]mar.borders=[spa,gas]por.stage()spa.stage()gas.stage()mar.stage()print(generate_mutation())

结果：

{
    set {
        <0x11> <Region> "true" .
        <0x11> <_type> "Region" .
        <0x11> <name> "Portugal" .
        <0x11> <borders> <0x12> .
        <0x12> <Region> "true" .
        <0x12> <_type> "Region" .
        <0x12> <name> "Spain" .
        <0x12> <borders> <0x11> .
        <0x12> <borders> <0x13> .
        <0x12> <borders> <0x14> .
        <0x13> <Region> "true" .
        <0x13> <_type> "Region" .
        <0x13> <name> "Gascony" .
        <0x13> <borders> <0x12> (foo="bar", hello="world") .
        <0x13> <borders> <0x14> .
        <0x14> <Region> "true" .
        <0x14> <_type> "Region" .
        <0x14> <name> "Marseilles" .
        <0x14> <borders> <0x12> .
        <0x14> <borders> <0x13> .
    }
}

从json到python对象的hydate

给出dgraph的一些响应：

{"data":{"allRegions":[{"uid":"0x11","_type":"Region","name":"Portugal","borders":[{"uid":"0x12","_type":"Region","name":"Spain"}]},{"uid":"0x12","_type":"Region","name":"Spain","borders":[{"uid":"0x11","_type":"Region","name":"Portugal"},{"uid":"0x13","_type":"Region","name":"Gascony"},{"uid":"0x14","_type":"Region","name":"Marseilles"}]},{"uid":"0x13","_type":"Region","name":"Gascony","borders":[{"uid":"0x12","_type":"Region","name":"Spain","borders|foo":"bar","borders|hello":"world"},{"uid":"0x14","_type":"Region","name":"Marseilles"}]},{"uid":"0x14","_type":"Region","name":"Marseilles","borders":[{"uid":"0x12","_type":"Region","name":"Spain"},{"uid":"0x13","_type":"Region","name":"Gascony"}]}]},"extensions":{"server_latency":{"parsing_ns":23727,"processing_ns":2000535,"encoding_ns":7803450},"txn":{"start_ts":117,"lin_read":{"ids":{"1":49}}}}}

我们可以将其转换为一些python对象：

>>>data=hydrate(retrieved_data){'allRegions':[<Region:17>,<Region:18>,<Region:19>,<Region:20>]}