Core3VaultSection

Documentation for eth_defi.core3.vault_protocol.Core3VaultSection Python class.

class Core3VaultSection

Bases: TypedDict

Compact per-vault Core3 risk summary.

A flattened subset of Core3ExportRecord embedded under the core3 key of each vault record produced by eth_defi.research.vault_metrics.calculate_vault_record(). Individual values are None when the underlying Core3 field is missing; the whole section is None when the vault’s protocol has no Core3 data (see build_core3_vault_section()).

Attributes summary

risk_score

Overall Probability of Loss score, 0 (Exceptional) – 100 (Critical).

market_cap

Total cross-chain market capitalisation in USD.

core3_ranking

Core3 global rank (1 = lowest risk).

data_coverage

Data coverage percentage, 0–100.

confidence

PoL confidence label, e.g.

risk_rating_label

Credit-style PoL rating label, e.g.

Methods summary

__init__(*args, **kwargs)

clear()

Remove all items from the dict.

copy()

Return a shallow copy of the dict.

fromkeys([value])

Create a new dictionary with keys from iterable and values set to value.

get(key[, default])

Return the value for key if key is in the dictionary, else default.

items()

Return a set-like object providing a view on the dict's items.

keys()

Return a set-like object providing a view on the dict's keys.

pop(k[,d])

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()

Remove and return a (key, value) pair as a 2-tuple.

setdefault(key[, default])

Insert key with a value of default if key is not in the dictionary.

update([E, ]**F)

If E is present and has a .keys() method, then does: for k in E.keys(): D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values()

Return an object providing a view on the dict's values.

risk_score: Optional[float]

Overall Probability of Loss score, 0 (Exceptional) – 100 (Critical).

market_cap: Optional[float]

Total cross-chain market capitalisation in USD.

core3_ranking: Optional[int]

Core3 global rank (1 = lowest risk).

data_coverage: Optional[float]

Data coverage percentage, 0–100.

confidence: Optional[str]

PoL confidence label, e.g. "High", "Medium", "Low".

risk_rating_label: Optional[str]

Credit-style PoL rating label, e.g. "BB", "AAA".

__init__(*args, **kwargs)
__new__(**kwargs)
clear()

Remove all items from the dict.

copy()

Return a shallow copy of the dict.

fromkeys(value=None, /)

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)

Return the value for key if key is in the dictionary, else default.

items()

Return a set-like object providing a view on the dict’s items.

keys()

Return a set-like object providing a view on the dict’s keys.

pop(k[, d]) v, remove specified key and return the corresponding value.

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) None.  Update D from mapping/iterable E and F.

If E is present and has a .keys() method, then does: for k in E.keys(): D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values()

Return an object providing a view on the dict’s values.