edfi-schoology-extractor 1.0.0a1

Extract tool for retrieving student data from Canvas

Schoology Extractor

This tool retrieves and writes out to CSV students, active sections†, assignments, and submissions by querying the Schoology API († sections that are in an active grading period). For more information on the this tool and its output files, please see the main repository readme.

Special Notes About Working With Schoology

Special note about attendance events: the Schoology API handles negative attendance events: if a student is marked as present, or is not marked at all, then the system will not return a record for that day.

System usage (activities) in Schoology are only available by downloading a file through the Schoology website. If you wish to track system student use of the system, then please read Schoology's instructions on usage analytics. Each downloaded file needs to be stored in an input directory, and that directory must be provided to the extractor configuration.

Getting Started

1. Download the latest code from the project homepage by clicking on the green "CODE" button and choosing an appropriate option. If choosing the Zip option, extract the file contents using your favorite zip tool.

2. Open a command prompt* and change to this file's directory (* e.g. cmd.exe, PowerShell, bash).

3. Ensure you have Python 3.8+ and Poetry.

4. At a command prompt, install all required dependencies:

   poetry install
   

5. Optional: make a copy of the .env.example file, named simply .env, and customize the settings as described in the Configuration section below.

6. Open https://app.schoology.com/api and sign-in with an administrative account to acquire an API key and secret; if using a .env file, insert those values into the file.

7. Run the extractor one of two ways:

   • Execute the extractor with minimum command line arguments:

     poetry run python edfi_schoology_extractor -k [schoology client key]
         -s [schoology client secret]
     

   • Alternately, run with environment variables or .env file:

     poetry run python edfi_schoology_extractor
     

   • For detailed help, execute poetry run python canvas_extractor -h.

Configuration

Application configuration is provided through environment variables or command line interface (CLI) arguments. CLI arguments take precedence over environment variables. Environment variables can be set the normal way, or by using a dedicated .env file. For .env support, we provided a .env.example which you can copy, rename to .env, and adjust to your desired parameters. Supported parameters:

Description	Required	Command Line Argument	Environment Variable
Schoology API Key	yes	-k or --client-key	SCHOOLOGY_KEY
Schoology API Secret	yes	-s or --client-secret	SCHOOLOGY_SECRET
Usage analytics input directory	no	-i or --input-directory	SCHOOLOGY_INPUT_DIRECTORY
Output Directory	no (default: [working directory]/data)	-o or --output-directory	SCHOOLOGY_OUTPUT_PATH
Log level**	no (default: INFO)	-l or --log-level	SCHOOLOGY_LOG_LEVEL
Page size	no (default: 20)	-p or --page-size	PAGE_SIZE
Number of retry attempts for failed API calls	no (default: 4)	none	REQUEST_RETRY_COUNT
Timeout window for retry attempts, in seconds	no (default: 60 seconds)	none	REQUEST_RETRY_TIMEOUT_SECONDS

** Valid values for the optional log level:

• DEBUG
• INFO(default)
• WARNING
• ERROR
• CRITICAL

Logging and Exit Codes

Log statements are written to the standard output. If you wish to capture log details, then be sure to redirect the output to a file. For example:

poetry run python edfi_schoology_extractor > 2020-12-07-15-43.log

If any errors occurred during the script run, then there will be a final print message to the standard error handler as an additional mechanism for calling attention to the error: "A fatal error occurred, please review the log output for more information."

The application will exit with status code 1 if there were any log messages at the ERROR or CRITICAL level, otherwise it will exit with status code 0.

Developer Operations

1. Style check: poetry run flake8
2. Static typing check: poetry run mypy .
3. Run unit tests: poetry run pytest
4. Run unit tests with code coverage: poetry run coverage run -m pytest
5. View code coverage: poetry run coverage report

Also see build.py for use of the build script.

Visual Studio Code (Optional)

To work in Visual Studio Code install the Python Extension. Then type Ctrl-Shift-P, then choose Python:Select Interpreter, then choose the environment that includes .venv in the name.

Legal Information

Copyright (c) 2021 Ed-Fi Alliance, LLC and contributors.

Licensed under the Apache License, Version 2.0 (the "License").

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

See NOTICES for additional copyright and license notifications.