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from __future__ import annotations
from typing import Set, Tuple, TypedDict
import time
from .blame import BlameResult
Changes = Set[Tuple[str, str]]
class Changeset(TypedDict):
author: str
first_commit: float
changes: Changes
def by_first_commit(item: Changeset):
"""Order two changesets by their first commit date."""
return item["first_commit"]
def convert_blame_to_changesets(blame_json: BlameResult) -> list[Changeset]:
"""Convert a blame dict into a list of changesets.
The blame information in `blame_json` should be a dict of the following
structure:
{
'authors': [
'A.N. Author <author@example.com>',
],
'blame': {
'path/one': {
'key1': [0, 1346095921.0],
},
}
}
It will be transformed into a list of changesets which can be fed into
`InternalContext.serialize_changeset`:
[
{
'author': 'A.N. Author <author@example.com>',
'first_commit': 1346095921.0,
'changes': {
('path/one', 'key1'),
}
},
]
"""
now = time.time()
changesets: list[Changeset] = [
{"author": author, "first_commit": now, "changes": set()}
for author in blame_json["authors"]
]
for path, keys_info in blame_json["blame"].items():
for key, (author_index, timestamp) in keys_info.items():
changeset = changesets[author_index]
changeset["changes"].add((path, key))
if timestamp < changeset["first_commit"]:
changeset["first_commit"] = timestamp
return sorted(changesets, key=by_first_commit)
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