E2E calculation per output message, plotting of E2E over time, E2E breakdown charts, E2E message flow charts

This commit is contained in:
Maximilian Schmeller 2022-08-29 22:17:52 +02:00
parent 241a7c3bf2
commit 8eee45c79a
7 changed files with 1212 additions and 339 deletions

View file

@ -8,27 +8,18 @@ def row_to_type(row, type, **type_kwargs):
return type(**row, **type_kwargs)
def df_to_type_list(df, type, **type_kwargs):
def df_to_type_list(df, type, mappers=None, **type_kwargs):
if mappers is not None:
for col, mapper in mappers.items():
df[col] = df[col].map(mapper)
has_idx = not isinstance(df.index, pd.RangeIndex)
ret_list = []
p = tqdm(desc=" ├─ Processing", total=len(df))
for row in df.itertuples(index=has_idx):
p.update()
i=0
for row in tqdm(df.itertuples(index=has_idx), desc=f" ├─ Processing {type.__name__}s", total=len(df)):
row_dict = row._asdict()
if has_idx:
row_dict["id"] = row.Index
del row_dict["Index"]
ret_list.append(row_to_type(row_dict, type, **type_kwargs))
return ret_list
def by_index(df, index, type):
return df_to_type_list(df.loc[index], type)
def by_column(df, column_name, column_val, type):
return df_to_type_list(df[df[column_name] == column_val], type)
def list_to_dict(ls, key='id'):
return {getattr(item, key): item for item in ls}