SSRS_Data_Source_Automation

Snippet Name: SSRS_Data_Source_Automation

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Created Date: 2025-06-16 13:12:46
Last Modified Date: 2025-05-31 10:31:48

Dependencies:

DBA Notes:

Sample Output:

Title: SSRS Data Source Automation
Author: user
i have an SQL server SSRS instance that uses a custom authentication.  because of that, i need to log in manually, and then once i am logged in, attach to a chrome instance that is point to https://reports.dealercentral.net/reports/browse/Data%20Sources. from there, i need to click on each link in the main body to see the information about a given data source, and save elements fromt eh html. can you help me get started

Author: ChatGPT
Lowell is working with a SQL Server SSRS instance that uses custom authentication and needs to log in manually, then attach to a Chrome instance to automate interactions with the report server at https://reports.dealercentral.net/reports/browse/Data%20Sources.

Author: tool
Model set context updated.

Author: ChatGPT
To automate this process, you can use Python along with the `selenium` library to interact with Chrome. Here's how you can get started:

### Steps:
1. **Install necessary libraries**:
   - You'll need `selenium` for browser automation, and the Chrome WebDriver to control the Chrome browser.

   Install the required libraries:
   ```bash
   pip install selenium
   ```

2. **Set up Chrome WebDriver**:
   - Download the Chrome WebDriver that matches your version of Chrome from [here](https://sites.google.com/a/chromium.org/chromedriver/downloads).
   - Extract and save it to a folder and add the path to your script.

3. **Login manually**:
   - Since you have custom authentication, start Chrome with `selenium` in manual mode (using your own browser profile). You can attach the script to an existing Chrome session after you've logged in manually.

4. **Write Python script to scrape Data Source information**:
   Here's a sample code to get you started:

   ```python
   from selenium import webdriver
   from selenium.webdriver.chrome.service import Service
   from selenium.webdriver.common.by import By
   import time

   # Path to Chrome WebDriver
   webdriver_path = '/path/to/chromedriver'

   # Create a Chrome session using your user profile
   options = webdriver.ChromeOptions()
   options.add_argument("user-data-dir=/path/to/your/chrome/profile")  # use your Chrome profile

   # Start Chrome
   driver = webdriver.Chrome(service=Service(webdriver_path), options=options)

   # Open the SSRS Data Sources page
   driver.get("https://reports.dealercentral.net/reports/browse/Data%20Sources")

   # Wait for the page to load
   time.sleep(5)

   # Find and click on all Data Source links
   data_source_links = driver.find_elements(By.CSS_SELECTOR, ".msrs-ds-link")  # Modify selector based on actual element
   for link in data_source_links:
       link.click()
       time.sleep(2)  # Wait for the Data Source page to load

       # Extract relevant data from the page
       data_source_name = driver.find_element(By.CSS_SELECTOR, "h2").text  # Modify based on the HTML structure
       connection_string = driver.find_element(By.CSS_SELECTOR, "#connection-string").text

       # Save the extracted data
       with open("data_sources.txt", "a") as file:
           file.write(f"Name: {data_source_name}\nConnection String: {connection_string}\n\n")

       # Go back to the list of data sources
       driver.back()
       time.sleep(2)

   # Close the browser
   driver.quit()
   ```

### Explanation:
1. **Manual Login**: You need to log in manually first. By using the `user-data-dir` option, the script will launch Chrome with your profile, keeping your logged-in state.
   
2. **Data Source Links**: The script will search for all the links in the main body of the page. Adjust the `CSS_SELECTOR` to match the structure of the page you're automating.

3. **Extract Information**: For each data source, it opens the link, scrapes the necessary information (like connection strings), and saves it into a file.

### Next Steps:
- Modify the `CSS_SELECTOR` values based on the actual HTML structure of the SSRS pages.
- Once it???s working, you can further enhance it by adding error handling and logging.

Let me know if you need help with any part of this!

Author: user
i am using windows, and my login is izaguirrel. where would i find the equivalent directory for user-data-dir 

Author: ChatGPT
On Windows, the Chrome user profile data is typically stored in the following location:

```
C:\Users\<Your_Username>\AppData\Local\Google\Chrome\User Data
```

Since your username is `izaguirrel`, the path for the `user-data-dir` in the `selenium` script would be:

```
C:\Users\izaguirrel\AppData\Local\Google\Chrome\User Data
```

You can specify this in your `options.add_argument` in the script like this:

```python
options.add_argument("user-data-dir=C:/Users/izaguirrel/AppData/Local/Google/Chrome/User Data")
```

This will launch Chrome using your existing profile, preserving the session where you've already logged in manually.

If you have multiple profiles, and not the default profile, you can specify a subfolder such as `Profile 1`, `Profile 2`, etc. For example:

```python
options.add_argument("user-data-dir=C:/Users/izaguirrel/AppData/Local/Google/Chrome/User Data/Profile 1")
```

Let me know if this works or if you need further adjustments!

Author: user
how do i work through Chrome vs Cromedriver version issues? my chrome is 129.0.6668.101, but the driver is at 129.0.6668.91

Author: ChatGPT
To resolve the version mismatch between Chrome and ChromeDriver, follow these steps:

### Step 1: Ensure You Have the Correct ChromeDriver Version
The ChromeDriver version must exactly match your installed Chrome version (or be very close if Chrome updates). You mentioned:

- **Chrome version**: `129.0.6668.101`
- **ChromeDriver version**: `129.0.6668.91`

Since ChromeDriver is behind by a minor patch, you will need to update ChromeDriver to the latest version matching Chrome.

### Step 2: Update ChromeDriver
You can download the latest ChromeDriver from the official site:
1. Visit [ChromeDriver Downloads](https://sites.google.com/chromium.org/driver/).
2. Find the **129.0.6668.x** version of ChromeDriver that matches your Chrome version (`129.0.6668.101`).
3. Download the specific version that matches your system (Windows 32/64-bit).
4. Replace the current ChromeDriver executable with the new one.

### Step 3: Verify Version Compatibility
To check ChromeDriver and Chrome compatibility:
1. Open Chrome and check your current version:
   - Go to `chrome://settings/help` in the Chrome browser to see the version.
   
2. Check your ChromeDriver version:
   - Run this command in your terminal or command prompt:
     ```bash
     chromedriver --version
     ```

Ensure that the ChromeDriver version number matches the Chrome version you saw in the browser.

### Step 4: Alternative - Auto-download ChromeDriver (Optional)
If you frequently face version mismatches, you can use tools like `webdriver-manager` to automatically download the correct version of ChromeDriver.

You can install it with:

```bash
pip install webdriver-manager
```

Then modify your script to automatically fetch the right ChromeDriver version:

```python
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager

options = webdriver.ChromeOptions()
options.add_argument("user-data-dir=C:/Users/izaguirrel/AppData/Local/Google/Chrome/User Data")

driver = webdriver.Chrome(service=Service(ChromeDriverManager().install()), options=options)

driver.get("https://reports.dealercentral.net/reports/browse/Data%20Sources")
```

This will always download and use the correct ChromeDriver version that matches your installed Chrome browser.

Let me know if you need help with any of these steps!


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