perf: 优化生成假数据 (#4759)

* perf: 优化生成假数据

utils/generate_fake_data/resources/base.py

@@ -0,0 +1,45 @@
+#!/usr/bin/python
+
+from random import seed
+from itertools import islice
+
+from orgs.models import Organization
+
+
+class FakeDataGenerator:
+    resource = 'Fake'
+
+    def __init__(self, batch_size=100, org_id=None):
+        self.batch_size = batch_size
+        self.org = self.switch_org(org_id)
+        seed()
+
+    def switch_org(self, org_id):
+        o = Organization.get_instance(org_id, default=True)
+        if o:
+            o.change_to()
+        print('Current org is: {}'.format(o))
+        return o
+
+    def do_generate(self, batch, batch_size):
+        raise NotImplementedError
+
+    def pre_generate(self):
+        pass
+
+    def after_generate(self):
+        pass
+
+    def generate(self, count=100):
+        self.pre_generate()
+        counter = iter(range(count))
+        created = 0
+        while True:
+            batch = list(islice(counter, self.batch_size))
+            if not batch:
+                break
+            self.do_generate(batch, self.batch_size)
+            from_size = created
+            created += len(batch)
+            print('Generate %s: %s-%s' % (self.resource, from_size, created))
+        self.after_generate()