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updated flake and desktop files

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Thilo Billerbeck 2023-11-03 22:26:59 +01:00
parent a13a49d55d
commit 2be0fe9b6f
3 changed files with 18 additions and 8 deletions
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1
configs/thilo-pc/nixos.nix
View file

@ -149,6 +149,7 @@
time.hardwareClockInLocalTime = true; time.hardwareClockInLocalTime = true;
nix.settings.experimental-features = [ "nix-command" "flakes" ]; nix.settings.experimental-features = [ "nix-command" "flakes" ];
nix.settings.trusted-users = [ "root" "thilo" ];
nixpkgs.config.permittedInsecurePackages = [ nixpkgs.config.permittedInsecurePackages = [
"electron-24.8.6" "electron-24.8.6"

12
flake.lock
View file

@ -84,11 +84,11 @@
] ]
}, },
"locked": { "locked": {
"lastModified": 1698670511, "lastModified": 1698896213,
"narHash": "sha256-jQIu3UhBMPHXzVkHQO1O2gg8SVo5lqAVoC6mOaLQcLQ=", "narHash": "sha256-u42NZt52F3o7pM5V7sYlLOp5tSN8z9+fO2wFcOs0EOQ=",
"owner": "nix-community", "owner": "nix-community",
"repo": "home-manager", "repo": "home-manager",
"rev": "8e5416b478e465985eec274bc3a018024435c106", "rev": "831b4fa31749208e576050c563e9773aafd04941",
"type": "github" "type": "github"
}, },
"original": { "original": {
@ -222,11 +222,11 @@
}, },
"nixpkgs_3": { "nixpkgs_3": {
"locked": { "locked": {
"lastModified": 1698610559, "lastModified": 1698956996,
"narHash": "sha256-i8vFNXJz9VcH05oNe/3Jm5f+CtE3g5uOUvF/dobTMUQ=", "narHash": "sha256-X029F/YpX0HoE5ppGaVWY+arqI2DokggQtJACSl67+8=",
"owner": "NixOS", "owner": "NixOS",
"repo": "nixpkgs", "repo": "nixpkgs",
"rev": "4e43dd49630303b00120c11d00d4fb01bb40188d", "rev": "e8be045c25d93f18f3530ac2dfa264750c6778b7",
"type": "github" "type": "github"
}, },
"original": { "original": {

13
home-manager/pkgs/toggl-time-grouper/toggl-time-grouper
View file

@ -9,7 +9,16 @@ df = pd.read_csv(sys.argv[1])
df = df.drop(columns=['User', 'Email', 'Billable', 'Tags', 'Amount ()', 'Start time', 'End date', 'End time']) df = df.drop(columns=['User', 'Email', 'Billable', 'Tags', 'Amount ()', 'Start time', 'End date', 'End time'])
df['Duration'] = pd.to_timedelta(df['Duration']) df['Duration'] = pd.to_timedelta(df['Duration'])
df['Start date'] = pd.to_datetime(df['Start date']) df['Start date'] = pd.to_datetime(df['Start date'])
df['duration_dec'] = df['Duration'].dt.total_seconds() / 3600
df.rename(columns={
'Project': 'project',
'Description': 'description',
'Start date': 'day',
'Duration': 'duration'
}, inplace=True)
df = df.groupby(['Project','Description','Start date'])['Duration'].sum() df = df.groupby(['project','description','day'], as_index=False).agg({'duration': 'sum'})
df['duration'] = round(df['duration'].dt.total_seconds() / 60 / 60, 2)
print("Total hours are: ", round(df['duration'].sum(), 2))
df.to_csv(Path(sys.argv[1]).stem + '-grouped.csv') df.to_csv(Path(sys.argv[1]).stem + '-grouped.csv', index=False)