pinecone.models

 5class CollectionDescription(NamedTuple):
 6    """
 7    The description of a collection.
 8    """
 9
10    name: str
11    """
12    The name of the collection.
13    """
14
15    source: str
16    """
17    The name of the index used to create the collection.
18    """

 5class PodSpec(NamedTuple):
 6    """
 7    PodSpec represents the configuration used to deploy a pod-based index.
 8
 9    To learn more about the options for each configuration, please see [Understanding Indexes](https://docs.pinecone.io/docs/indexes)
10    """
11
12    environment: str
13    """
14    The environment where the pod index will be deployed. Example: 'us-east1-gcp'
15    """
16
17    replicas: Optional[int] = None
18    """
19    The number of replicas to deploy for the pod index. Default: 1
20    """
21
22    shards: Optional[int] = None
23    """
24    The number of shards to use. Shards are used to expand the amount of vectors you can store beyond the capacity of a single pod. Default: 1
25    """
26
27    pods: Optional[int] = None
28    """
29    Number of pods to deploy. Default: 1
30    """
31
32    pod_type: Optional[str] = "p1.x1"
33    """
34    This value combines pod type and pod size into a single string. This configuration is your main lever for vertical scaling.
35    """
36
37    metadata_config: Optional[Dict] = {}
38    """
39    If you are storing a lot of metadata, you can use this configuration to limit the fields which are indexed for search. 
40
41    This configuration should be a dictionary with the key 'indexed' and the value as a list of fields to index.
42
43    For example, if your vectors have metadata along like this:
44    
45    ```python
46    from pinecone import Vector
47
48    vector = Vector(
49        id='237438191', 
50        values=[...], 
51        metadata={
52            'productId': '237438191',
53            'description': 'Stainless Steel Tumbler with Straw',
54            'category': 'kitchen',
55            'price': '19.99'
56        }
57    )
58    ```
59
60    You might want to limit which fields are indexed with metadata config such as this: 
61    ```
62    {'indexed': ['field1', 'field2']}
63    """
64
65    source_collection: Optional[str] = None
66    """
67    The name of the collection to use as the source for the pod index. This configuration is only used when creating a pod index from an existing collection.
68    """
69
70    def asdict(self):
71        """
72        Returns the PodSpec as a dictionary.
73        """
74        return {"pod": self._asdict()}

 5class PodSpecDefinition(NamedTuple):
 6    replicas: int
 7    shards: int
 8    pods: int
 9    pod_type: str
10    environment: str
11    metadata_config: Optional[Dict]

 5class ServerlessSpec(NamedTuple):
 6    cloud: str
 7    region: str
 8
 9    def asdict(self):
10        return {"serverless": self._asdict()}

14class ServerlessSpecDefinition(NamedTuple):
15    cloud: str
16    region: str

 7class IndexList:
 8    def __init__(self, index_list: OpenAPIIndexList):
 9        self.index_list = index_list
10        self.indexes = [IndexModel(i) for i in self.index_list.indexes]
11        self.current = 0
12
13    def names(self):
14        return [i.name for i in self.indexes]
15
16    def __getitem__(self, key):
17        return self.indexes[key]
18
19    def __len__(self):
20        return len(self.indexes)
21
22    def __iter__(self):
23        return iter(self.indexes)
24
25    def __str__(self):
26        return str(self.indexes)
27
28    def __repr__(self):
29        return json.dumps([i.to_dict() for i in self.indexes], indent=4)
30
31    def __getattr__(self, attr):
32        return getattr(self.index_list, attr)

 8class CollectionList:
 9    """
10    A list of collections.
11    """
12
13    def __init__(self, collection_list: OpenAPICollectionList):
14        self.collection_list = collection_list
15        self.current = 0
16
17    def names(self):
18        return [i["name"] for i in self.collection_list.collections]
19
20    def __getitem__(self, key):
21        return self.collection_list.collections[key]
22
23    def __len__(self):
24        return len(self.collection_list.collections)
25
26    def __iter__(self):
27        return iter(self.collection_list.collections)
28
29    def __str__(self):
30        return str(self.collection_list)
31
32    def __repr__(self):
33        return json.dumps([c.to_dict() for c in self.collection_list.collections], indent=4)
34
35    def __getattr__(self, attr):
36        return getattr(self.collection_list, attr)

 5class IndexModel:
 6    def __init__(self, index: OpenAPIIndexModel):
 7        self.index = index
 8        self.deletion_protection = index.deletion_protection.value
 9
10    def __str__(self):
11        return str(self.index)
12
13    def __getattr__(self, attr):
14        return getattr(self.index, attr)
15
16    def __getitem__(self, key):
17        return self.__getattr__(key)
18
19    def to_dict(self):
20        return self.index.to_dict()