功能请求：ActiveCollab可筛选实时项目时间日志同步至Google Sheet

Alright, let's tackle your goal of syncing ActiveCollab's real-time time tracking data to Google Sheets and building a monthly project time overview. Here's a practical, step-by-step breakdown that balances code-based flexibility and no-code options depending on your team's comfort level:

To pull real-time time data, you'll need to use ActiveCollab's REST API. Here's how to get authenticated:

• Log into your ActiveCollab account, go to My Profile > API Tokens
• Click Generate New Token, give it a descriptive name (e.g., "Google Sheets Sync"), and save the token somewhere secure—you'll need it later.

A simple Python script is a great way to pull and format time entries. This example grabs all time entries (you can filter by project, date range, or user if needed):

import requests

# Replace these with your details
ACTIVECOLLAB_DOMAIN = "https://your-activecollab-instance.com"
API_TOKEN = "your-generated-api-token"
PROJECT_ID = "optional-project-id"  # Remove this param to get all projects

# Fetch time entries from ActiveCollab
response = requests.get(
    f"{ACTIVECOLLAB_DOMAIN}/api/v1/time-entries",
    headers={"Authorization": f"Bearer {API_TOKEN}"},
    params={"project_id": PROJECT_ID, "include": "user,project"}  # Pulls related user/project data
)

# Parse the response into usable data
time_entries = response.json()

This script returns entries with key details: date created, project name, user name, duration (in seconds), and entry description.

Once you have the data, you can push it to Google Sheets using the gspread library (a user-friendly wrapper for the Google Sheets API):

1. First, set up Google Sheets API access:

   • Go to the Google Cloud Console, create a project, enable the Google Sheets API, and generate a service account key (save it as service-account-key.json).
   • Share your target Google Sheet with the service account's email (found in the key file).

2. Install required packages:

   pip install gspread oauth2client
   

3. Add this sync code to your script:

   import gspread
   from oauth2client.service_account import ServiceAccountCredentials
   
   # Authenticate with Google Sheets
   scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
   creds = ServiceAccountCredentials.from_json_keyfile_name("service-account-key.json", scope)
   client = gspread.authorize(creds)
   
   # Open your spreadsheet and target worksheet
   sheet = client.open("Project Time Overview")
   raw_data_sheet = sheet.worksheet("Raw Time Entries")
   
   # Clear old data (optional, for fresh syncs)
   raw_data_sheet.clear()
   
   # Add header row
   headers = ["Date", "Project", "User", "Hours", "Description"]
   raw_data_sheet.append_row(headers)
   
   # Format and insert time entries
   for entry in time_entries:
       # Convert duration from seconds to hours
       hours = round(entry["duration"] / 3600, 2)
       row = [
           entry["created_on"],
           entry["project"]["name"],
           entry["user"]["name"],
           hours,
           entry["description"]
       ]
       raw_data_sheet.append_row(row)
   

Now turn the raw data into a actionable overview. Two easy methods:

Option 1: Pivot Table (No-Code) #

• Select the entire range of raw data in your sheet
• Go to Data > Pivot table
  • Set Rows to Project
  • Set Columns to Date, then group by Month (right-click the date column in the pivot table > Create pivot date group > Month)
  • Set Values to Hours (summarize by SUM)
• Format the pivot table to highlight totals and make it easy to scan.

Option 2: QUERY Function (Automated) #

In a new worksheet, use this formula to generate a dynamic monthly breakdown:

=QUERY('Raw Time Entries'!A:E, "SELECT B, MONTH(A)+1, SUM(D) WHERE A IS NOT NULL GROUP BY B, MONTH(A)+1 LABEL MONTH(A)+1 'Month', SUM(D) 'Total Hours'", 1)

To convert month numbers to names, add a column with:

=TEXT(C2, "mmmm")

To keep your Sheet updated without running the script manually:

• Code option: Deploy the Python script to a serverless platform like Google Cloud Functions or AWS Lambda, set a trigger to run hourly/daily.
• No-code option: Use tools like Zapier or Make:
  • Create a zap with a trigger: ActiveCollab > New Time Entry
  • Add an action: Google Sheets > Append Row
  • Map the ActiveCollab fields (date, project, hours) to your Sheet columns.

With these steps, you'll have a live-updating overview that lets you easily track monthly time allocation across all your projects. Adjust the API filters or Sheets formulas to match your specific reporting needs!

内容的提问来源于stack exchange，提问作者Wes Maynard