How to use the watchtower.commits_.find_word_in_string function in watchtower

# Define full date range
    all_dates = pd.date_range(start, stop, freq='D').tz_localize('US/Pacific')
    all_dates = pd.DataFrame(np.zeros(all_dates.shape[0], dtype=int),
                             index=all_dates)

    # Remove commits from the past we don't want
    commits = commits.query('date > @start and date < @stop')
    if len(commits) == 0:
        # In case no commits for this project
        all_dates = all_dates.drop(0, axis=1).astype(int)
        all_dates['all'] = 0
        all_dates['doc'] = 0
        return all_dates

    commits.loc[:, 'is_doc'] = commits['message'].apply(
        find_word_in_string, args=(search_queries,))

    # Tally the total number vs. doc-related commits
    commits_doc = commits['is_doc'].resample('D').sum()
    commits_all = commits['is_doc'].resample('D').count()

    for date, val in commits_all.items():
        all_dates.loc[date, 'all'] = val
    for date, val in commits_doc.items():
        all_dates.loc[date, 'doc'] = val

    # Clean up
    all_dates = all_dates.drop(0, axis=1)
    all_dates = all_dates.replace(np.nan, 0)
    all_dates = all_dates.astype(int)
    return all_dates

messages, dates = zip(*[(jj['message'], idate)
                              for idate, ii in user_db.PushEvent.iterrows()
                              for jj in ii['payload']['commits']])
        dates = list(dates)
        for ii, idate in enumerate(dates):
            if idate.tzinfo is None:
                idate = idate.tz_localize('UTC')
            idate = idate.tz_convert('US/Pacific')
            dates[ii] = idate
        dates = np.array(dates)
        messages = np.array(messages)
        mask = (dates > start) * (dates <= end)
        messages = messages[mask]
        dates = dates[mask]
        for message, date in zip(messages, dates):
            is_doc = find_word_in_string(message, search_queries)
            activity.append((user, date, is_doc))

    except Exception as e:
        exceptions.append((user, e))
        activity.append((user, np.nan, np.nan))
        continue
print('Exceptions: ', '\n'.join([str(ii) for ii in exceptions]))
activity = pd.DataFrame(activity, columns=['user', 'date', 'is_doc'])
activity = activity.set_index('date')
activity.to_csv('.user_totals.csv')