Use CouchDB, this might break things.

1 files changed, 40 insertions, 143 deletions

diff --git a/src/db.py b/src/db.py
index 980505d..0c7e998 100755
--- a/src/db.py
+++ b/src/db.py
@@ -1,10 +1,6 @@
 #! /usr/bin/env python3
 
 # A database storing dictionaries, keyed on a timestamp.
-
-# key = 8 octets timestamp | 1 octet version
-#       struct.pack('!dB', time.time(), 0)
-
 # value = A dict which will be stored as a JSON object encoded in
 # UTF-8. Note that dict keys of type integer or float will become
 # strings while values will keep their type.
@@ -13,165 +9,66 @@
 # value if you're too quick with generating the timestamps, ie
 # invoking time.time() several times quickly enough.
 
-from store import KVStore
-import json
-from pathlib import PurePath
 import time
 import struct
-import os
+import couchdb
+
 
-class DictDB(KVStore):
-    VERSION = 0
+class DictDB():
+    def __init__(self, database, hostname, username, password):
+        self.server = couchdb.Server(
+            f"http://{username}:{password}@{hostname}:5984/")
 
-    # TODO: implement indexes
-    # TODO: implement search(dict key) for indexed fields
+        if database not in self.server:
+            self.server.create(database)
 
-    def __init__(self, name, basedir='.'):
-        super().__init__(name, basedir)
+        self.couchdb = self.server[database]
         self._ts = time.time()
-        self._index = {}
 
     def unique_key(self):
         ts = time.time()
         while ts == self._ts:
             ts = time.time()
-        self._ts = ts
-        return struct.pack('!dB', ts, DictDB.VERSION)
+        self._ts = round(ts * 1000)
+
+        return self._ts
 
     def index_add(self, path):
-        name = PurePath(path).name
-        self._index[name] = DBIndex(path)
+        pass
 
     def add(self, data, batch_write=False):
+        key = str(self.unique_key())
+
         if type(data) is list:
-            ret = []
-            if batch_write:     # Supposedly makes the update atomic.
-                batch = self.batch()
-            for e in data:
-                ret += [self.add(e)]
-            if batch_write:
-                self.write(batch)
-            return ret
+            for item in data:
+                self.couchdb[key] = item
         else:
-            key = self.unique_key()
-            json_data = json.dumps(data).encode('UTF-8')
-            self.put(key, json_data)
-            return key
+            self.couchdb[key] = data
+
+        return key
 
     def get(self, key):
-        enc = super().get(key)  # name collision, specify super class
-        ret = json.loads(enc.decode('UTF-8'))
-        return ret
+        return self.couchdb[key]
 
     def slice(self, key_from=None, key_to=None):
-        ret = []
-        for key_raw, val_raw in list(self.range_iter(key_from=key_from, key_to=key_to)):
-            (key, ver) = struct.unpack('!dB', key_raw)
-            if ver == DictDB.VERSION:
-                val = json.loads(val_raw.decode('UTF-8'))
-                ret.append((key, val))
-        return ret
-
-    # Search top level dict for objects with a name matching DICT_NAME
-    # and optionally value DICT_VAL.
-    def search(self, dict_name, dict_val=None):
-        res = []
-        for key, obj in self.slice():
-            if dict_name in obj:
-                if dict_val is None:
-                    res.append((key, obj))
-                elif dict_val == obj[dict_name]:
-                    res.append((key, obj))
-        return res
-
-    def timestamp_from_key(key):
-        ts, _ = struct.unpack('!dB', key)
-        return ts
-
-class DBIndex(KVStore):
-    def __init__(self, name, basedir='.'):
-        super().__init__(name, basedir)
-
-#     def update_or_create(self, key, val):
-#         curval = []
-#         try:
-#             curval = self._db.Get(key)
-#         except KeyError:
-#             self._db.Put(key, [val])
-#             return
-
-#         if curval is list:
-#             self._db.Put(key, curval + [val])
-#         else:
-#             self._db.Put(key, json.dumps([curval, val]))
-
-    # def index_full(self, name):
-    #     kv = self._index[name])
-    #     for key, val in self.range_iter():
-    #         valdict = json.loads(val)
-    #         field = valdict.get(name)
-    #         if field:
-    #             ix = kv.get(key)
-    #             if ix:
-    #                 kv.put(ix + [key])
-    #             else:
-    #                 kv.put([key])
-
-from operator import itemgetter
-def dict_eq(a, b):
-    sort_on_key = lambda d: sorted(d.items(), key=itemgetter(0))
-    return sort_on_key(a) == sort_on_key(b)
-
-if __name__ == '__main__':
-    DBDIR = 'test_db.db'
-    # TODO: rm -r DBDIR
-    db = DictDB('db', basedir = DBDIR)
-    #ix = DBIndex('foo', basedir = DBDIR)
-
-    key = db.add({'foo': 'Bar'})
-    assert(db.get(key) == {'foo': 'Bar'})
-
-    key = db.add({0: 'Foo'})    # NOTE: int keys become strings
-    assert(db.get(key) == {'0': 'Foo'})
-
-    d2 = {'4711': 'Large number', '7': 'Small number', '0': 'Bar'}
-    key = db.add(d2)
-    res = db.get(key)
-    assert(dict_eq(d2, res))
-
-    key = db.add({'an int': 0})
-    assert(db.get(key) == {'an int': 0})
-
-    key = db.add({'a float': 1.1})
-    assert(db.get(key) == {'a float': 1.1})
-
-    d5 = { "ip": {"foo": "192.0.2.10" }}
-    key = db.add(d5)
-    res = db.get(key)
-    assert(res == d5)
-
-    # TODO: verify slice() too
-    for key, val in db.slice():
-        print(key, val)
-
-    res = db.search('an int')
-    assert(dict_eq(res[0][1], {'an int': 0}))
-
-    res = db.search('0')
-    assert(dict_eq(res[0][1], {'0': 'Foo'}))
-    assert(dict_eq(res[1][1], d2))
-
-    res = db.search('7', dict_val = 'Small number') # FIXME: verify better -- do we hit only '7' here, f.ex.?
-    assert('7' in res[0][1])
-
-    res = db.search('7', dict_val = 'not matching')
-    assert(not res)
-
-    N = 10 * 1000               # 10k takes ~0.2s.
-    data = [{str(x): x} for x in range(N)]
-    keys = db.add(data, batch_write = False)
-    assert(len(keys) == N)
-    for k in range(len(keys)):
-        assert(db.get(keys[k]) == data[k])
+        pass
+
+    def search(self, **kwargs):
+        data = list()
+        selector = dict()
+
+        if kwargs:
+            selector = {
+                "selector": {
+                }
+            }
+
+            for key in kwargs:
+                if kwargs[key].isnumeric():
+                    kwargs[key] = int(kwargs[key])
+                selector['selector'][key] = {'$eq': kwargs[key]}
 
+        for doc in self.couchdb.find(selector):
+            data.append(doc)
 
+        return data